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| meta
dict |
|---|---|
# 1
# digit.each { |row| row[1, 1] = row[1, 1] * scale }
# digit.each do |row|
# if row =~ /\|/
# scale.times { puts row }
# else
# puts row
# end
# end
# 2
# class LCD
# attr_accessor( :size, :spacing )
# #
# # This hash is used to define the segment display for the
# # given digit. Each entry in the array is associated with
# # the following states:
# #
# # HORIZONTAL
# # VERTICAL
# # HORIZONTAL
# # VERTICAL
# # HORIZONTAL
# # DONE
# #
# # The HORIZONTAL state produces a single horizontal line. There
# # are two types:
# #
# # 0 - skip, no line necessary, just space fill
# # 1 - line required of given size
# #
# # The VERTICAL state produces a either a single right side line,
# # a single left side line or a both lines.
# #
# # 0 - skip, no line necessary, just space fill
# # 1 - single right side line
# # 2 - single left side line
# # 3 - both lines
# #
# # The DONE state terminates the state machine. This is not needed
# # as part of the data array.
# #
# @@lcdDisplayData = {
# "0" => [ 1, 3, 0, 3, 1 ],
# "1" => [ 0, 1, 0, 1, 0 ],
# "2" => [ 1, 1, 1, 2, 1 ],
# "3" => [ 1, 1, 1, 1, 1 ],
# "4" => [ 0, 3, 1, 1, 0 ],
# "5" => [ 1, 2, 1, 1, 1 ],
# "6" => [ 1, 2, 1, 3, 1 ],
# "7" => [ 1, 1, 0, 1, 0 ],
# "8" => [ 1, 3, 1, 3, 1 ],
# "9" => [ 1, 3, 1, 1, 1 ]
# }
# @@lcdStates = [
# "HORIZONTAL",
# "VERTICAL",
# "HORIZONTAL",
# "VERTICAL",
# "HORIZONTAL",
# "DONE"
# ]
# def initialize( size=1, spacing=1 )
# @size = size
# @spacing = spacing
# end
# def display( digits )
# states = @@lcdStates.reverse
# 0.upto(@@lcdStates.length) do |i|
# case states.pop
# when "HORIZONTAL"
# line = ""
# digits.each_byte do |b|
# line += horizontal_segment(
# @@lcdDisplayData[b.chr][i]
# )
# end
# print line + "\n"
# when "VERTICAL"
# 1.upto(@size) do |j|
# line = ""
# digits.each_byte do |b|
# line += vertical_segment(
# @@lcdDisplayData[b.chr][i]
# )
# end
# print line + "\n"
# end
# when "DONE"
# break
# end
# end
# end
# def horizontal_segment( type )
# case type
# when 1
# return " " + ("-" * @size) + " " + (" " * @spacing)
# else
# return " " + (" " * @size) + " " + (" " * @spacing)
# end
# end
# def vertical_segment( type )
# case type
# when 1
# return " " + (" " * @size) + "|" + (" " * @spacing)
# when 2
# return "|" + (" " * @size) + " " + (" " * @spacing)
# when 3
# return "|" + (" " * @size) + "|" + (" " * @spacing)
# else
# return " " + (" " * @size) + " " + (" " * @spacing)
# end
# end
# end
# from sys import argv
# script, vert_line, hori_line = argv
# vert = "-"
# hori = "|"
# space = ""
# def ascii(vert, hori, space):
# new = space.replace(""," ")
# return ascii
# ascii(vert, hori, space)
# var1 = ascii("-", "|", "")
# print "%s%s%s%s%s%s%s%s%s" % (space, (vert*2), (space*8), (vert*2), (space*3), (vert*2), (space*8), (vert*2), space)
# from sys import argv
# script, zero, ascii_one, ascii_two, ascii_three, ascii_four, ascii_five = argv
# zero = {"""
def line1():
print " -- -- -- --"
return line1
def line2():
print "| | | | | | | |"
return line2
def line3():
print "| | | | | | | |"
return line3
def line4():
print " -- -- -- --"
return line4
def line5():
print "| | | | | | | "
return line5
def line6():
print "| | | | | | |"
return line6
def line7():
print " -- -- -- --"
return line7
print "%s%s%s%s%s%s%s" % (line1(), line2(), line3(), line4(), line5(), line6(), line7())
# print line1(), line2(), line3(), line4(), line5(), line6(), line7()
# S H O U L D P R I N T
# print """
# -- -- -- --
# | | | | | | | |
# | | | | | | | |
# -- -- -- --
# | | | | | | |
# | | | | | | |
# -- -- -- --
# """
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"autogenerated": false,
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## 1. Neural networks and iris flowers ##
import pandas
import matplotlib.pyplot as plt
import numpy as np
# Read in dataset
iris = pandas.read_csv("iris.csv")
# shuffle rows
shuffled_rows = np.random.permutation(iris.index)
iris = iris.loc[shuffled_rows,:]
print(iris.head())
# There are 2 species
print(iris.species.unique())
iris.hist()
plt.show()
## 2. Neurons ##
z = np.asarray([[9, 5, 4]])
y = np.asarray([[-1, 2, 4]])
# np.dot is used for matrix multiplication
# z is 1x3 and y is 1x3, z * y.T is then 1x1
print(np.dot(z,y.T))
# Variables to test sigmoid_activation
iris["ones"] = np.ones(iris.shape[0])
X = iris[['ones', 'sepal_length', 'sepal_width', 'petal_length', 'petal_width']].values
y = (iris.species == 'Iris-versicolor').values.astype(int)
# The first observation
x0 = X[0]
# Initialize thetas randomly
theta_init = np.random.normal(0,0.01,size=(5,1))
def sigmoid_activation(x,theta):
return 1/ (1+ np.exp(-np.dot(theta.T , x)))
a1 = sigmoid_activation(x0,theta_init)
## 3. Cost function ##
# First observation's features and target
x0 = X[0]
y0 = y[0]
# Initialize parameters, we have 5 units and just 1 layer
theta_init = np.random.normal(0,0.01,size=(5,1))
def singlecost(X,y,theta):
h = 1/ (1+ np.exp(-np.dot(theta.T,X)))
return -np.mean(y * np.log(h) + (1-y) * np.log(1-h))
first_cost = singlecost(x0,y0,theta_init)
## 4. Compute the Gradients ##
# Initialize parameters
theta_init = np.random.normal(0,0.01,size=(5,1))
# Store the updates into this array
grads = np.zeros(theta_init.shape)
# Number of observations
n = X.shape[0]
for j, obs in enumerate(X):
# Compute activation
h = sigmoid_activation(obs, theta_init)
# Get delta
delta = (y[j]-h) * h * (1-h) * obs
# accumulate
grads += delta[:,np.newaxis]/X.shape[0]
## 5. Two layer network ##
theta_init = np.random.normal(0,0.01,size=(5,1))
# set a learning rate
learning_rate = 0.1
# maximum number of iterations for gradient descent
maxepochs = 10000
# costs convergence threshold, ie. (prevcost - cost) > convergence_thres
convergence_thres = 0.0001
def learn(X, y, theta, learning_rate, maxepochs, convergence_thres):
costs = []
cost = singlecost(X, y, theta) # compute initial cost
costprev = cost + convergence_thres + 0.01 # set an inital costprev to past while loop
counter = 0 # add a counter
# Loop through until convergence
for counter in range(maxepochs):
grads = np.zeros(theta.shape)
for j, obs in enumerate(X):
h = sigmoid_activation(obs, theta) # Compute activation
delta = (y[j]-h) * h * (1-h) * obs # Get delta
grads += delta[:,np.newaxis]/X.shape[0] # accumulate
# update parameters
theta += grads * learning_rate
counter += 1 # count
costprev = cost # store prev cost
cost = singlecost(X, y, theta) # compute new cost
costs.append(cost)
if np.abs(costprev-cost) < convergence_thres:
break
plt.plot(costs)
plt.title("Convergence of the Cost Function")
plt.ylabel("J($\Theta$)")
plt.xlabel("Iteration")
plt.show()
return theta
theta = learn(X, y, theta_init, learning_rate, maxepochs, convergence_thres)
## 6. Neural Network ##
theta0_init = np.random.normal(0,0.01,size=(5,4))
theta1_init = np.random.normal(0,0.01,size=(5,1))
def feedforward(X, theta0, theta1):
# feedforward to the first layer
a1 = sigmoid_activation(X.T, theta0).T
# add a column of ones for bias term
a1 = np.column_stack([np.ones(a1.shape[0]), a1])
# activation units are then inputted to the output layer
out = sigmoid_activation(a1.T, theta1)
return out
h = feedforward(X, theta0_init, theta1_init)
## 7. Multiple neural network cost function ##
theta0_init = np.random.normal(0,0.01,size=(5,4))
theta1_init = np.random.normal(0,0.01,size=(5,1))
# X and y are in memory and should be used as inputs to multiplecost()
def multiplecost(X, y,theta0_init, theta1_init):
return -np.mean((y * np.log(h)) + (1-y) * np.log(1-h))
c = multiplecost(X,y,theta0_init, theta1_init)
## 8. Backpropagation ##
# Use a class for this model, it's good practice and condenses the code
class NNet3:
def __init__(self, learning_rate=0.5, maxepochs=1e4, convergence_thres=1e-5, hidden_layer=4):
self.learning_rate = learning_rate
self.maxepochs = int(maxepochs)
self.convergence_thres = 1e-5
self.hidden_layer = int(hidden_layer)
def _multiplecost(self, X, y):
# feed through network
l1, l2 = self._feedforward(X)
# compute error
inner = y * np.log(l2) + (1-y) * np.log(1-l2)
# negative of average error
return -np.mean(inner)
def _feedforward(self, X):
# feedforward to the first layer
l1 = sigmoid_activation(X.T, self.theta0).T
# add a column of ones for bias term
l1 = np.column_stack([np.ones(l1.shape[0]), l1])
# activation units are then inputted to the output layer
l2 = sigmoid_activation(l1.T, self.theta1)
return l1, l2
def predict(self, X):
_, y = self._feedforward(X)
return y
def learn(self, X, y):
nobs, ncols = X.shape
self.theta0 = np.random.normal(0,0.01,size=(ncols,self.hidden_layer))
self.theta1 = np.random.normal(0,0.01,size=(self.hidden_layer+1,1))
self.costs = []
cost = self._multiplecost(X, y)
self.costs.append(cost)
costprev = cost + self.convergence_thres+1 # set an inital costprev to past while loop
counter = 0 # intialize a counter
# Loop through until convergence
for counter in range(self.maxepochs):
# feedforward through network
l1, l2 = self._feedforward(X)
# Start Backpropagation
# Compute gradients
l2_delta = (y-l2) * l2 * (1-l2)
l1_delta = l2_delta.T.dot(self.theta1.T) * l1 * (1-l1)
# Update parameters by averaging gradients and multiplying by the learning rate
self.theta1 += l1.T.dot(l2_delta.T) / nobs * self.learning_rate
self.theta0 += X.T.dot(l1_delta)[:,1:] / nobs * self.learning_rate
# Store costs and check for convergence
counter += 1 # Count
costprev = cost # Store prev cost
cost = self._multiplecost(X, y) # get next cost
self.costs.append(cost)
if np.abs(costprev-cost) < self.convergence_thres and counter > 500:
break
# Set a learning rate
learning_rate = 0.5
# Maximum number of iterations for gradient descent
maxepochs = 10000
# Costs convergence threshold, ie. (prevcost - cost) > convergence_thres
convergence_thres = 0.00001
# Number of hidden units
hidden_units = 4
# Initialize model
model = NNet3(learning_rate=learning_rate, maxepochs=maxepochs,
convergence_thres=convergence_thres, hidden_layer=hidden_units)
# Train model
model.learn(X, y)
# Plot costs
plt.plot(model.costs)
plt.title("Convergence of the Cost Function")
plt.ylabel("J($\Theta$)")
plt.xlabel("Iteration")
plt.show()
## 9. Splitting data ##
# First 70 rows to X_train and y_train
# Last 30 rows to X_train and y_train
X_train = X[0:70]
y_train = y[0:70]
X_test = X[70:len(X)]
y_test = y[70:len(y)]
## 10. Predicting iris flowers ##
from sklearn.metrics import roc_auc_score
# Set a learning rate
learning_rate = 0.5
# Maximum number of iterations for gradient descent
maxepochs = 10000
# Costs convergence threshold, ie. (prevcost - cost) > convergence_thres
convergence_thres = 0.00001
# Number of hidden units
hidden_units = 4
# Initialize model
model = NNet3(learning_rate=learning_rate, maxepochs=maxepochs,
convergence_thres=convergence_thres, hidden_layer=hidden_units)
model.learn(X_train,y_train)
x = model.predict(X_test)[0]
auc = roc_auc_score(y_test, x) | {
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#1
# foo = None
# print (foo)
# print ("test {}.".format(foo))
# foo = 1.0
# print (foo)
# print ("test {}.".format(foo))
# print ("test __str__() {}.".format(foo.__str__()))
import osisoftpy # main package
import time
import dateutil.parser
import datetime
import pytz
import json
# webapi = osisoftpy.webapi('https://dev.dstcontrols.com/piwebapi')
# elements = webapi.elements(query='attributename:PythonAFInserted AND name:Attributes')
# element = elements[0]
# print element
# att = element['PythonAFInserted']
# att.update_value('11/22/2017 3PM', 12321)
# webapi = osisoftpy.webapi('https://gold.dstcontrols.local/piwebapi', authtype='basic', username='ak-piwebapi-svc@dstcontrols.local', password='DP$28GhMyp*!E&gc')
webapi = osisoftpy.webapi('https://dev.dstcontrols.com/piwebapi')
# points = webapi.points(query='name:SINU*')
points = webapi.points(query='name:s* OR name:a* OR name:r* OR name: CD*')
# for x in range(0,400):
# points.pop()
# def callback_current(sender):
# #sender is Point object
# print('Current Value of {} changed to {} at {}'.format(
# sender.name, sender.current_value.value,
# sender.current_value.timestamp))
# First parameter is websocket object required by library
# Second parameter is message response as string
def parse_message(ws, message):
j = json.loads(message)
for point in j['Items']:
for value in point['Items']:
print('Point: {}, New Value: {}, Timestamp: {}, Current Time: {}'.
format(point['Name'], value['Value'],
str(dateutil.parser.parse(str(
value['Timestamp'])))[:19],
datetime.datetime.fromtimestamp(
time.time()).strftime('%Y-%m-%d %H:%M:%S')))
# def callback_channel(ws, message):
# j = json.loads(message)
# for point in j['Items']:
# for value in point['Items']:
# print('Point: {}, New Value: {}, Timestamp: {}'.format(
# point['Name'], value['Value'], value['Timestamp']))
# def callback_current(sender):
# if isinstance(sender.current_value.value, dict) == False:
# value = sender.current_value.value
# elif sender.current_value.value.get('IsSystem') == False:
# value = str(sender.current_value.value.get('Value'))
# else:
# value = str(sender.current_value.value.get('Name'))
# print('Tag: {}, DateTime: {}, Value: {}'.format(
# sender.name,
# str(dateutil.parser.parse(str(sender.current_value.timestamp)))[:19],
# value))
# str(dateutil.parser.parse(str(sender.current_value.timestamp)).astimezone(PST))[:19]
# df = df.append(
# {
# 'tag name':
# sender.name,
# 'DateTime':
# str(dateutil.parser.parse(str(
# sender.current_value.timestamp)))[:19],
# 'Pressure':
# value
# },
# ignore_index=True)
points.start_channel(parse_message)
print('start')
while True:
time.sleep(10)
print('Time passed')
# point.update_value('2000-01-01T07:00:00Z', 53)
# end_value = point.end()
# timestamp = end_value.timestamp
# value = end_value.value
# print('{}: {}'.format(timestamp, value))
# summary_values = point.summary(summarytype='Total', starttime='*-1w', endtime='*', summaryduration='1d')
# for summary_value in summary_values:
# calculationtype = summary_value.calculationtype
# timestamp = summary_value.timestamp
# value = summary_value.value
# print('{} is {} starting at {}'.format(calculationtype, value, timestamp))
# def callback_current(sender):
# print('CALLBACK: Current Value of {} changed to {} at {}'.format(sender.name, sender.current_value.value, sender.current_value.timestamp))
# def callback_end(sender):
# print('CALLBACK: End Value of {} changed to {} at {}'.format(sender.name, sender.end_value.value, sender.end_value.timestamp))
# webapi.subscribe(points, 'current', callback=callback_current)
# webapi.subscribe(points, 'end', callback=callback_end)
# for point in points:
# point.current()
# time.sleep(30)
# for point in points:
# point.current()
# interpolated_values_at_times = point.interpolatedattimes(['2017-01-01T00:00:00Z','2017-05-03T00:00:00Z'])
# print('Number of Values for {}: {}'.format(point.name, interpolated_values_at_times.__len__()))
# for interpolated_value in interpolated_values_at_times:
# timestamp = interpolated_value.timestamp
# value = interpolated_value.value
# print('{}: {}'.format(timestamp, value))
# print(len(points))
# def callback(sender):
# print('Callback {} {}'.format(sender.name, sender.current_value.value))
# webapi.subscribe(points, 'current', callback=callback)
# points.current()
# # print('Point: {} has inital value {} at {}'.format(point.name, value.value, value.timestamp))
# time.sleep(30)
# points.current()
# points = 0
# points = webapi.points(query='name:EdwinPythonTest')
# for point in points:
# print(point)
# point = points[0]
# ts = point.current().timestamp
# y = time.strptime(ts, '%Y-%m-%dT%H:%M:%SZ')
# localFormat = "%Y-%m-%d %H:%M"
# localmoment_naive = datetime.strptime('2013-09-06 14:05', localFormat)
# localtimezone = pytz.timezone('America/Los_Angeles')
# localmoment = localtimezone.localize(localmoment_naive, is_dst=None)
# utcmoment = localmoment.astimezone(pytz.utc)
# print(utcmoment)
# print(len(points))
# points = webapi.points(query='name:EdwinPythonTest')
# print(len(points))
#3
# string = '2017-02-01 06:00'
# print(string)
# x = time.strptime(string, '%Y-%m-%d %H:%M')
# print(x)
#
# times = ['2017-02-01 06:00', '2017-03-05 15:00', '2017-04-15 17:00']
# for t in times:
# s = time.strptime(t, '%Y-%m-%d %H:%M')
# print(s)
# print(time.strftime('%Y-%m-%dT%H:%M:%SZ', s))
# ## | {
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"quality_score": 0.43099782765406,
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# 1.
from merlin import Merlin
engine = Merlin(
company = 'my_company',
environment = 'prod',
instance = 'my_instance'
)
# 2.
from merlin.search import Search
with engine(Search(q="dress")) as results:
print results
# 3. A query where we want 50 results starting from the 100th result
s = Search(q="red dress", start=100, num=50)
with engine(s) as results:
print results
# 4. A query where we only want back the "id" and "title" fields
s = Search(q="red dress", fields=["id", "title"])
with engine(s) as results:
print results
# 5. Get all fields including debug fields
s = Search(q='red dress', fields=['[debug]'])
with engine(s) as results:
print results
# 6.
from merlin.sort import Sort as S
s = Search(q='red dress', sort=S.asc('price'))
with engine(s) as results:
print results
# 7.
s = Search(q='red dress', sort = [S.asc('price'), S.desc('size')])
with engine(s) as results:
print results
# 8.
from merlin.filter import NF, Field
s = Search(
q = 'red dress',
filter = NF.cnf(
Field('price') < 100
)
)
with engine(s) as results:
print results
# 9.
s = Search(
q = "red dress",
filter = NF.cnf(
(Field('size') == ('S', 'M')) & (Field('price') < 100)
)
)
with engine(s) as results:
print results
# 10. A query where we want red dresses in size 'S' or in size 'M' and
# tag it as 'smallormedium'
s = Search(
q = "red dress",
filter = NF.cnf(
(Field("size") == ('S', 'M')),
tag="smallormedium"
)
)
with engine(s) as results:
print results
# 11. A query where we want red dresses under $100
# and the top 5 brands returned as facets
from merlin.facet import Facet as F
s = Search(
q = 'red dress',
filter = NF.cnf(Field('price') < 100),
facet = F.enum('brand', num=5)
)
with engine(s) as results:
print results.facets.enums
# 12. A query where we want red dresses and the range of prices returned
s = Search(
q = 'red dress',
facets = F.range('price')
)
with engine(s) as results:
print results.facets.ranges
# 13. A query where we want red dresses and a histogram of their
# price fields from 0-500 in increments of 100.
s = Search(
q = 'red dress',
facets = F.hist('price', start=0, end=500, gap=100)
)
with engine(s) as results:
print results.facets.histograms
# 14. A search with multiple keyed facets on the 'brand' field
s = Search(
q = 'red dress',
facets = [
F.range('price', tag="price_range"),
F.hist('price', start=0, end=500, gap=100, tag='price_hist')
]
)
with engine(s) as results:
print results.facets
# 15. pass array of tags to exclude into the facet
s = Search(
q = "red dress",
facets = [
F.enum("brand", num=200, exclude=["tag1", "tag2"])
]
)
# 16. search for 'red dress' with spelling correction turned off
S = Search(q="red dress", correct=False)
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"line_max": 72,
"alpha_frac": 0.6168413933,
"autogenerated": false,
"ratio": 3.032820512820513,
"config_test": false,
"has_no_keywords": false,
"few_assignments": false,
"quality_score": 0.41496619061205126,
"avg_score": null,
"num_lines": null
} |
class Molecule():
def parse(self,argv):
return parse_molecule(argv)
class MoleculeNew(Molecule):
def parse(self,argv):
Dic = super().parse(argv)
# print(Dic)
total = 0
for num in Dic.values():
total+=int(num)
percentDic = {}
for e in Dic:
# print(Dic[e])
percentDic.update({e:'{0:.2f} %'.format(int(Dic[e])/total * 100)})
return percentDic
#### 3 ####
'''
'[Co(H2NCH2CH2NH2)3]Cl3'
'K4[ON(SO3)2]2'
'Ka4[ON(SO3)2]2'
'K4[ON(SO3)'
'''
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# 1 ---------
# A simple test of the basic_aep model
from fusedwind.plant_flow.basic_aep import aep_weibull_assembly
import numpy as np
aep = aep_weibull_assembly()
# 1 ---------
# 2 ---------
# Set input parameters
aep.wind_curve = np.array([1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, \
11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0, 24.0, 25.0, 26.0])
aep.power_curve = np.array([0.0, 0.0, 0.0, 187.0, 350.0, 658.30, 1087.4, 1658.3, 2391.5, 3307.0, 4415.70, \
5000.0, 5000.0, 5000.0, 5000.0, 5000.0, 5000.0, 5000.0, 5000.0, 5000.0, 5000.0, 5000.0, 5000.0, \
5000.0, 5000.0, 0.0])
aep.A = 8.35
aep.k = 2.15
aep.array_losses = 0.059
aep.other_losses = 0.0
aep.availability = 0.94
aep.turbine_number = 100
# 2 ---------
# 3 ---------
aep.run()
# 3 ---------
# 4 ---------
print "Annual energy production for an offshore wind plant with 100 NREL 5 MW reference turbines."
print "AEP gross output (before losses): {0:.1f} kWh".format(aep.gross_aep)
print "AEP net output (after losses): {0:.1f} kWh".format(aep.net_aep)
print
# 4 ----------
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"avg_score": 0.004021939828391441,
"num_lines": 40
} |
"""1
Revision ID: 275df1efccf
Revises: None
Create Date: 2014-03-28 19:37:49.676179
"""
# revision identifiers, used by Alembic.
revision = '275df1efccf'
down_revision = None
from alembic import op
import sqlalchemy as sa
def upgrade():
### commands auto generated by Alembic - please adjust! ###
op.create_table('projects',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('name', sa.String(length=60), nullable=True),
sa.Column('description', sa.Text(), nullable=True),
sa.Column('subject', sa.String(length=60), nullable=True),
sa.Column('help_wanted', sa.String(length=140), nullable=True),
sa.Column('timestamp', sa.DateTime(), nullable=True),
sa.Column('schools', sa.String(), nullable=True),
sa.PrimaryKeyConstraint('id')
)
op.create_index('ix_projects_timestamp', 'projects', ['timestamp'], unique=False)
op.create_table('roles',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('name', sa.String(length=64), nullable=True),
sa.Column('default', sa.Boolean(), nullable=True),
sa.Column('permissions', sa.Integer(), nullable=True),
sa.PrimaryKeyConstraint('id'),
sa.UniqueConstraint('name')
)
op.create_index('ix_roles_default', 'roles', ['default'], unique=False)
op.create_table('users',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('email', sa.String(length=64), nullable=True),
sa.Column('username', sa.String(length=64), nullable=True),
sa.Column('role_id', sa.Integer(), nullable=True),
sa.Column('new_role', sa.String(), nullable=True),
sa.Column('password_hash', sa.String(length=128), nullable=True),
sa.Column('confirmed', sa.Boolean(), nullable=True),
sa.Column('name', sa.String(length=64), nullable=True),
sa.Column('location', sa.String(length=64), nullable=True),
sa.Column('about_me', sa.Text(), nullable=True),
sa.Column('member_since', sa.DateTime(), nullable=True),
sa.Column('last_seen', sa.DateTime(), nullable=True),
sa.Column('avatar_hash', sa.String(length=32), nullable=True),
sa.Column('milestones_completed', sa.Integer(), nullable=True),
sa.Column('school', sa.String(length=100), nullable=True),
sa.Column('teacher_email', sa.String(length=100), nullable=True),
sa.Column('mentee_milestones_completed', sa.Integer(), nullable=True),
sa.Column('interests', sa.String(length=100), nullable=True),
sa.Column('expertise', sa.String(length=100), nullable=True),
sa.Column('linkedin_id', sa.String(length=100), nullable=True),
sa.Column('participate', sa.Boolean(), nullable=True),
sa.ForeignKeyConstraint(['role_id'], ['roles.id'], ),
sa.PrimaryKeyConstraint('id')
)
op.create_index('ix_users_email', 'users', ['email'], unique=True)
op.create_index('ix_users_username', 'users', ['username'], unique=True)
op.create_table('kid_parent_association_table',
sa.Column('parent_id', sa.Integer(), nullable=False),
sa.Column('kid_id', sa.Integer(), nullable=False),
sa.ForeignKeyConstraint(['kid_id'], ['users.id'], ),
sa.ForeignKeyConstraint(['parent_id'], ['users.id'], ),
sa.PrimaryKeyConstraint('parent_id', 'kid_id')
)
op.create_table('teacher_to_project',
sa.Column('teacher_id', sa.Integer(), nullable=True),
sa.Column('project_id', sa.Integer(), nullable=True),
sa.ForeignKeyConstraint(['project_id'], ['projects.id'], ),
sa.ForeignKeyConstraint(['teacher_id'], ['users.id'], )
)
op.create_table('MentorProjectAssociation',
sa.Column('mentor_id', sa.Integer(), nullable=True),
sa.Column('project_id', sa.Integer(), nullable=True),
sa.ForeignKeyConstraint(['mentor_id'], ['users.id'], ),
sa.ForeignKeyConstraint(['project_id'], ['projects.id'], )
)
op.create_table('StudentProjectAssociation',
sa.Column('student_id', sa.Integer(), nullable=True),
sa.Column('project_id', sa.Integer(), nullable=True),
sa.ForeignKeyConstraint(['project_id'], ['projects.id'], ),
sa.ForeignKeyConstraint(['student_id'], ['users.id'], )
)
op.create_table('follows',
sa.Column('follower_id', sa.Integer(), nullable=False),
sa.Column('followed_id', sa.Integer(), nullable=False),
sa.Column('timestamp', sa.DateTime(), nullable=True),
sa.ForeignKeyConstraint(['followed_id'], ['users.id'], ),
sa.ForeignKeyConstraint(['follower_id'], ['users.id'], ),
sa.PrimaryKeyConstraint('follower_id', 'followed_id')
)
op.create_table('posts',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('body', sa.Text(), nullable=True),
sa.Column('body_html', sa.Text(), nullable=True),
sa.Column('timestamp', sa.DateTime(), nullable=True),
sa.Column('author_id', sa.Integer(), nullable=True),
sa.ForeignKeyConstraint(['author_id'], ['users.id'], ),
sa.PrimaryKeyConstraint('id')
)
op.create_index('ix_posts_timestamp', 'posts', ['timestamp'], unique=False)
op.create_table('comments',
sa.Column('id', sa.Integer(), nullable=False),
sa.Column('body', sa.Text(), nullable=True),
sa.Column('body_html', sa.Text(), nullable=True),
sa.Column('timestamp', sa.DateTime(), nullable=True),
sa.Column('disabled', sa.Boolean(), nullable=True),
sa.Column('author_id', sa.Integer(), nullable=True),
sa.Column('post_id', sa.Integer(), nullable=True),
sa.Column('project_id', sa.Integer(), nullable=True),
sa.ForeignKeyConstraint(['author_id'], ['users.id'], ),
sa.ForeignKeyConstraint(['post_id'], ['posts.id'], ),
sa.ForeignKeyConstraint(['project_id'], ['projects.id'], ),
sa.PrimaryKeyConstraint('id')
)
op.create_index('ix_comments_timestamp', 'comments', ['timestamp'], unique=False)
### end Alembic commands ###
def downgrade():
### commands auto generated by Alembic - please adjust! ###
op.drop_index('ix_comments_timestamp', 'comments')
op.drop_table('comments')
op.drop_index('ix_posts_timestamp', 'posts')
op.drop_table('posts')
op.drop_table('follows')
op.drop_table('StudentProjectAssociation')
op.drop_table('MentorProjectAssociation')
op.drop_table('teacher_to_project')
op.drop_table('kid_parent_association_table')
op.drop_index('ix_users_username', 'users')
op.drop_index('ix_users_email', 'users')
op.drop_table('users')
op.drop_index('ix_roles_default', 'roles')
op.drop_table('roles')
op.drop_index('ix_projects_timestamp', 'projects')
op.drop_table('projects')
### end Alembic commands ###
| {
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"autogenerated": false,
"ratio": 3.437894736842105,
"config_test": false,
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"few_assignments": false,
"quality_score": 0.9539619738478209,
"avg_score": 0.011192048052779329,
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# 1.
print_log('\n1. Creates a new local pool ledger configuration that is used '
'later when connecting to ledger.\n')
pool_config = json.dumps({'genesis_txn': genesis_file_path})
try:
await pool.create_pool_ledger_config(pool_name, pool_config)
except IndyError:
await pool.delete_pool_ledger_config(config_name=pool_name)
await pool.create_pool_ledger_config(pool_name, pool_config)
# 2.
print_log('\n2. Open pool ledger and get handle from libindy\n')
pool_handle = await pool.open_pool_ledger(config_name=pool_name, config=None)
# 3.
print_log('\n3. Creating new secure wallet\n')
try:
await wallet.create_wallet(wallet_config, wallet_credentials)
except IndyError:
await wallet.delete_wallet(wallet_config, wallet_credentials)
await wallet.create_wallet(wallet_config, wallet_credentials)
# 4.
print_log('\n4. Open wallet and get handle from libindy\n')
wallet_handle = await wallet.open_wallet(wallet_config, wallet_credentials)
# 5.
print_log('\n5. Generating and storing steward DID and verkey\n')
steward_seed = '000000000000000000000000Steward1'
did_json = json.dumps({'seed': steward_seed})
steward_did, steward_verkey = await did.create_and_store_my_did(wallet_handle, did_json)
print_log('Steward DID: ', steward_did)
print_log('Steward Verkey: ', steward_verkey)
# 6.
print_log('\n6. Generating and storing trust anchor DID and verkey\n')
trust_anchor_did, trust_anchor_verkey = await did.create_and_store_my_did(wallet_handle, "{}")
print_log('Trust anchor DID: ', trust_anchor_did)
print_log('Trust anchor Verkey: ', trust_anchor_verkey)
# 7.
print_log('\n7. Building NYM request to add Trust Anchor to the ledger\n')
nym_transaction_request = await ledger.build_nym_request(submitter_did=steward_did,
target_did=trust_anchor_did,
ver_key=trust_anchor_verkey,
alias=None,
role='TRUST_ANCHOR')
print_log('NYM transaction request: ')
pprint.pprint(json.loads(nym_transaction_request))
# 8.
print_log('\n8. Sending NYM request to the ledger\n')
nym_transaction_response = await ledger.sign_and_submit_request(pool_handle=pool_handle,
wallet_handle=wallet_handle,
submitter_did=steward_did,
request_json=nym_transaction_request)
print_log('NYM transaction response: ')
pprint.pprint(json.loads(nym_transaction_response))
# 9.
print_log('\n9. Build the SCHEMA request to add new schema to the ledger as a Steward\n')
seq_no = 1
schema = {
'seqNo': seq_no,
'dest': steward_did,
'data': {
'id': '1',
'name': 'gvt',
'version': '1.0',
'ver': '1.0',
'attrNames': ['age', 'sex', 'height', 'name']
}
}
schema_data = schema['data']
print_log('Schema data: ')
pprint.pprint(schema_data)
print_log('Schema: ')
pprint.pprint(schema)
schema_request = await ledger.build_schema_request(steward_did, json.dumps(schema_data))
print_log('Schema request: ')
pprint.pprint(json.loads(schema_request))
# 10.
print_log('\n10. Sending the SCHEMA request to the ledger\n')
schema_response = await ledger.sign_and_submit_request(pool_handle, wallet_handle, steward_did, schema_request)
print_log('Schema response:')
pprint.pprint(json.loads(schema_response))
# 11.
print_log('\n11. Creating and storing CRED DEFINITION using anoncreds as Trust Anchor, for the given Schema\n')
cred_def_tag = 'cred_def_tag'
cred_def_type = 'CL'
cred_def_config = json.dumps({"support_revocation": False})
(cred_def_id, cred_def_json) = await anoncreds.issuer_create_and_store_credential_def(wallet_handle, trust_anchor_did, json.dumps(schema_data),
cred_def_tag, cred_def_type, cred_def_config)
print_log('Credential definition: ')
pprint.pprint(json.loads(cred_def_json))
| {
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"path": "docs/how-tos/issue-credential/python/step2.py",
"copies": "2",
"size": "4833",
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"config_test": true,
"has_no_keywords": false,
"few_assignments": false,
"quality_score": 1,
"avg_score": 0.0030508836342192196,
"num_lines": 98
} |
# 1.
print_log('\n1. Creates Issuer wallet and opens it to get handle.\n')
await
wallet.create_wallet(pool_name, issuer_wallet_name, None, None, None)
issuer_wallet_handle = await
wallet.open_wallet(issuer_wallet_name, None, None)
# 2.
print_log('\n2. Creates Prover wallet and opens it to get handle.\n')
await
wallet.create_wallet(pool_name, prover_wallet_name, None, None, None)
prover_wallet_handle = await
wallet.open_wallet(prover_wallet_name, None, None)
# 3.
print_log('\n3. Issuer creates Claim Definition for Schema\n')
schema = {
'seqNo': seq_no,
'dest': issuer_did,
'data': {
'name': 'gvt',
'version': '1.0',
'attr_names': ['age', 'sex', 'height', 'name']
}
}
schema_json = json.dumps(schema)
schema_key = {
'name': schema['data']['name'],
'version': schema['data']['version'],
'did': schema['dest'],
}
claim_def_json = await
anoncreds.issuer_create_and_store_claim_def(issuer_wallet_handle, issuer_did, schema_json, 'CL', False)
print_log('Claim Definition: ')
pprint.pprint(json.loads(claim_def_json))
# 4.
print_log('\n4. Prover creates Link Secret\n')
link_secret_name = 'link_secret'
await
anoncreds.prover_create_master_secret(prover_wallet_handle, link_secret_name)
# 5.
print_log('\n5. Issuer create Cred Offer\n')
claim_offer_json = await
anoncreds.issuer_create_claim_offer(issuer_wallet_handle, schema_json, issuer_did, prover_did)
print_log('Claim Offer: ')
pprint.pprint(json.loads(claim_offer_json))
# 6.
print_log('\n6. Prover creates and stores Cred Request\n')
claim_req_json = await
anoncreds.prover_create_and_store_claim_req(prover_wallet_handle, prover_did, claim_offer_json,
claim_def_json, link_secret_name)
print_log('Claim Request: ')
pprint.pprint(json.loads(claim_req_json))
# 7.
print_log('\n7. Issuer creates Credential for received Cred Request\n')
claim_json = json.dumps({
'sex': ['male', '5944657099558967239210949258394887428692050081607692519917050011144233115103'],
'name': ['Alex', '1139481716457488690172217916278103335'],
'height': ['175', '175'],
'age': ['28', '28']
})
(_, claim_json) = await
anoncreds.issuer_create_claim(issuer_wallet_handle, claim_req_json, claim_json, -1)
# 8.
print_log('\n8. Prover processes and stores received Credential\n')
await
anoncreds.prover_store_claim(prover_wallet_handle, claim_json, None) | {
"repo_name": "anastasia-tarasova/indy-sdk",
"path": "docs/how-tos/negotiate-proof/python/step2.py",
"copies": "2",
"size": "2916",
"license": "apache-2.0",
"hash": -7977980992390937000,
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"ratio": 3.5388349514563107,
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"few_assignments": false,
"quality_score": 1,
"avg_score": 0.008892935674855261,
"num_lines": 72
} |
# 1.
# Реализовать предобусловленный метод сопряженных градиентов для систем с матрицами Стилтьеса
# с предобуславливанием по методам ILU(k), MILU(k) и ILU(k,e)
#
# (в последнем случае речь идёт об алгоритме ILU(k), в котором портрет матрицы заменён на множетсов пар индексов,
# включающее пары равных индексов и пары индексов коэффициентов матрицы по модулю больших e);
#
# провести анализ скорости сходимости для заданной системы и подобрать приемлемые значения k.
#
#
# стр. 90 – Метод сопряжённых градиентов
# стр. 102 - Предобусловленный метод сопряженных градиентов
# стр. 112 – Предобуславливание с использованием неполного LU-разложения
# стр. 113 – определение матриц Стилтьеса
# стр. 119 – определение ILU(k) разложения
# стр. 120 – MILU-разложение
#
# Предобуславливание (также предобусловливание) — процесс преобразования условий задачи
# для её более корректного численного решения.
#
# Предобуславливание обычно связано с уменьшением числа обусловленности задачи.
# Предобуславливаемая задача обычно затем решается итерационным методом.
#
# https://ru.wikipedia.org/wiki/Метод_сопряжённых_градиентов
# Метод сопряженных градиентов — метод нахождения локального экстреммума функции
# на основе информации о её значениях и её градиенте.
#
#
#
#
import numpy as np
import math
from typing import Tuple, Set
import matplotlib.pyplot as plt
import pickle
from mod1.utils import MatrixBuilder, get_random_vector
filename = "/Users/o2genum/Downloads/systems2.bin"
def get_systems():
dense_number = 0
sparse_number = 200
# Try to read some already generated matrices
try:
with open(filename, 'rb') as input:
system_set_dense, system_set_sparse = pickle.load(input)
except FileNotFoundError:
system_set_dense, system_set_sparse = [], []
if len(system_set_dense) == dense_number and len(system_set_sparse) == sparse_number:
print("Got %d dense and %d sparse systems" % (len(system_set_dense), len(system_set_sparse)))
return system_set_dense, system_set_sparse
# Otherwise generate new matrices
for i in range(0, dense_number):
print('.', end='', flush=True)
matrix = MatrixBuilder(4).stieltjes().nonsingular().gen()
vector = get_random_vector(4)
system_set_dense.append( (matrix, vector) )
for i in range(0, sparse_number):
print('x', end='', flush=True)
matrix = MatrixBuilder(9).sparse_stieltjes().nonsingular().gen()
vector = get_random_vector(9)
system_set_sparse.append( (matrix, vector) )
print('\n')
# And save them for the next time
with open(filename, 'wb') as output:
pickle.dump([system_set_dense, system_set_sparse], output, pickle.HIGHEST_PROTOCOL)
return system_set_dense, system_set_sparse
def conj_grad(A: np.matrix, b: np.ndarray, x_0: np.ndarray):
k = 0
r = {}; r[0] = b - A @ x_0
x = {}; x[0] = x_0
p = {}
tau = {}
mu = {}
while not math.isclose(np.linalg.norm(r[k], ord=2), 0):
k += 1
if k == 1:
p[k] = r[0]
else:
tau[k-1] = (r[k-1].transpose() @ r[k-1]) / (r[k-2].transpose() @ r[k-2])
p[k] = r[k-1] + tau[k-1] * p[k-1]
mu[k] = (r[k-1].transpose() @ r[k-1]) / (p[k].transpose() @ A @ p[k])
x[k] = x[k-1] + mu[k] * p[k]
r[k] = r[k-1] - mu[k] * (A @ p[k])
if k > 300:
raise ValueError("Does not converge")
x_star = x[k]
return x_star, k
def lu_solve(L: np.matrix, R: np.matrix, b: np.array) -> np.array:
y = np.zeros(b.size)
for m in range(0, b.size):
y[m] = b[m] - sum(
L[m][i] * y[i] for i in range(0, m)
)
y[m] /= L[m][m]
x = np.zeros(b.size)
for k in reversed(range(0, b.size)):
x[k] = y[k] - sum(
R[k][i] * x[i] for i in range(k + 1, b.size)
)
x[k] /= R[k][k]
return x
def conj_grad_precond(A: np.matrix, b: np.ndarray, x_0: np.ndarray, precond_func):
k = 0
r = {}; r[0] = b - A @ x_0
x = {}; x[0] = x_0
z = {}
p = {}
L, U = precond_func(A)
z[0] = lu_solve(L, U, r[0])
while not math.isclose(np.linalg.norm(r[k], ord=2), 0):
k += 1
if k == 1:
p[k] = z[0]
else:
tau = (r[k-1].transpose() @ z[k-1]) / (r[k-2].transpose() @ z[k-2])
p[k] = z[k-1] + tau * p[k-1]
mu = (r[k-1].transpose() @ z[k-1]) / (p[k].transpose() @ A @ p[k])
x[k] = x[k-1] + mu * p[k]
r[k] = r[k-1] - mu * (A @ p[k])
z[k] = lu_solve(L, U, r[k])
if k > 300:
raise ValueError("Does not converge")
x_star = x[k]
return x_star, k
def matrix_portrait(A: np.matrix, e: float = None) -> Set[Tuple[int, int]]:
if e is None:
Omega = set()
n = A.shape[0]
for i in range(0, n):
for j in range(0, n):
if not math.isclose(A[i, j], 0):
Omega.add((i, j))
return Omega
else:
Omega = set()
n = A.shape[0]
for i in range(0, n):
for j in range(0, n):
if abs(A[i, j]) > e or i==j:
Omega.add((i, j))
return Omega
def incomplete_lu(A: np.matrix, Omega: Set[Tuple[int, int]], modified: bool = False) -> Tuple[np.matrix, np.matrix]:
A = A.copy()
n = A.shape[0]
L = np.eye(n, dtype=float)
R = np.zeros(A.shape, dtype=float)
for k in range(0, n):
for i in range(k, n):
if (k, i) in Omega:
R[k, i] = A[k, i]
elif modified:
R[k, k] -= A[k, i]
R[k, i] = 0
for j in range(k + 1, n):
L[j, k] = A[j, k] / A[k, k] if (j, k) in Omega else 0
for p in range(k + 1, n):
for q in range(k + 1, n):
A[p, q] -= L[p, k]*R[k, q]
return L, R
def ilu_k(A: np.matrix, k: int, modified: bool = False, e: float = None) -> Tuple[np.matrix, np.matrix]:
Omega = matrix_portrait(A, e)
for i in range(0, k+1):
L, R = incomplete_lu(A, Omega, modified)
T = L @ R - A
Omega |= matrix_portrait(T, e) # | is set union
return L, R
if __name__ == "__main__":
np.set_printoptions(precision=4)
dense_set, sparse_set = get_systems()
test_set = sparse_set
conv_mat_count = 0
for mat_i in range(0, len(test_set)):
try:
A = test_set[mat_i][0]
b = test_set[mat_i][1]
x_0 = np.array([0] * A.shape[0], dtype=float)
x_star, k = conj_grad(A.copy(), b, x_0)
#print("CONJ GRAD, iterations: " + str(k))
iter_n = 10
plainplot = [k] * iter_n
iluplot = []
miluplot = []
for k in range(0, iter_n):
#x_star, iters = conj_grad_precond(A.copy(), b, x_0, lambda A: ilu_k(A, 0, e=0.00000001*(10**k)))
#print("PRECOND CONJ GRAD, iterations: " + str(iters))
#iluplot.append(iters)
pass
plt.plot(plainplot, color='g')
#plt.plot(iluplot, color='b')
conv_mat_count += 1
except ValueError as e:
continue
print("Conv matrices: " + str(conv_mat_count))
plt.show()
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#1
#v 0.001
def _ERROR(Message,Function):
import sys,traceback
i=sys.exc_info();T=traceback.extract_tb(i[2])[0]
print '-----'
print 'Recall: '+Function
print
print 'File: '+T[0].split('\\')[-1]+', line '+str(T[1])
print "Code: '"+T[3]+"'"
print traceback.format_exception_only(i[0], i[1])[0]
print Message
print '-----'
#other errors should be thrown before this is reached
global maxInstanceCount; maxInstanceCount = 1000000
def IncreaseRange(): #increase safety
global maxInstanceCount; maxInstanceCount = 100000000
def DecreaseRange(): #increase speed
global maxInstanceCount; maxInstanceCount = 10000
IWLDInstanceCount=0
def IWLD(Bool): #detect infinite while loop
global IWLDInstanceCount,maxInstanceCount
if not Bool: IWLDInstanceCount=0; maxInstanceCount=1000000; return False
elif IWLDInstanceCount > maxInstanceCount:
IWLDInstanceCount=0; maxInstanceCount=1000000; return False #stop while loop
else: IWLDInstanceCount+=1; return True
def ResetIWLD(): pass #will be removed
IFLDInstanceCount=0 #detect infinite function loop
def IFLD(): global IFLDInstanceCount
def ResetIFLD(): global IFLDInstanceCount; IFLDInstanceCount=0
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#1
#v 0.001
from ERROR import *
from LOGGING import LOG as __LOG
import COMMON
"""
- SetMatNode(): TODO
###
these are extremely complicated and will take quite a while to solve
(this means no color animations, ramps or special effects unachievable bt the shader alone)
---
(a material must be active in a Mesh-type Object for this to take affect)
- SetLight(): TODO
###
I have to learn about these a little more :P
"""
#global public usage variables:
global UMC_POINTS,UMC_LINES,UMC_LINESTRIP,UMC_LINELOOP,UMC_TRIANGLES,UMC_TRIANGLESTRIP,UMC_TRIANGLEFAN,UMC_QUADS,UMC_QUADSTRIP,UMC_POLYGON
UMC_POINTS,UMC_LINES,UMC_LINESTRIP,UMC_LINELOOP,UMC_TRIANGLES,UMC_TRIANGLESTRIP,UMC_TRIANGLEFAN,UMC_QUADS,UMC_QUADSTRIP,UMC_POLYGON = range(10)
#global defaults (bypassing re-definition from functions (speedup))
DLRS=[0.0,0.0,0.0, 0.0,0.0,0.0, 1.0,1.0,1.0]
DM=[[1.0,0.0,0.0,0.0], [0.0,1.0,0.0,0.0], [0.0,0.0,1.0,0.0], [0.0,0.0,0.0,1.0]]
#___________________________________________________________________________________________
import VIEWER #for interfacing with Libs
#Active Data:
ActiveScene = 0
ActiveObject = None
ActiveMaterial = None
ActiveTexture = None
ActiveImage = None #for image pallets (TODO)
ActivePrimitive = 0 #in active object
def _Reset(): #called by VIEWER
global ActiveScene,ActiveObject,ActiveMaterial,ActiveTexture,ActiveImage,ActivePrimitive
ActiveScene = 0
ActiveObject = None
ActiveMaterial = None
ActiveTexture = None
ActiveImage = None #for image pallets (TODO)
ActivePrimitive = 0 #in active object
def __GetOID(N): #check for specified object name/ID
if type(N)==type(None): return ''
if type(N)==int: return '' if N>len(VIEWER.Libs[3]) else N
else: #N="Object1"
for I,O in enumerate(VIEWER.Libs[3]):
if O[0]==N: return I #break out of the loop
return ''
BoneLib = []
def __GetBID(S): #check for specified bone name/ID
if type(S)==type(None): return ''
global BoneLib
if type(S)==int: return '' if S>len(BoneLib) else S
else: #S="Bone1"
for I,B in enumerate(BoneLib):
if B[0]==S: return I #break out of the loop
return ''
def __GetMID(N): #check for specified material name/ID
if type(N)==type(None): return ''
if type(N)==int: return '' if N>len(VIEWER.Libs[4]) else N
else: #N="Material1"
for I,M in enumerate(VIEWER.Libs[4]):
if M[0]==N: return I #break out of the loop
return ''
def __GetTID(N): #check for specified texture name/ID
if type(N)==type(None): return ''
if type(N)==int: return '' if N>len(VIEWER.Libs[6]) else N
else: #N="Texture1"
for I,T in enumerate(VIEWER.Libs[6]):
if T[0]==N: return I #break out of the loop
return ''
def __GetIID(N): #check for specified image name/ID
if type(N)==type(None): return ''
if type(N)==int: return '' if N>len(VIEWER.Libs[7]) else N
else: #N="Image1"
for I,img in enumerate(VIEWER.Libs[7]):
if img[0]==N: return I #break out of the loop
return ''
''' hacks: (don't uncomment)
def SetActiveScene(Scene = 0): global ActiveScene; ActiveScene = Scene
def SetActiveObject(Object = None):
global ActiveObject
ActiveObject = __GetOID(Object)
if ActiveObject=='': ActiveObject=None
def SetActiveMaterial(Material = None):
global ActiveMaterial
ActiveMaterial = __GetMID(Material)
if ActiveMaterial=='': ActiveMaterial=None
def SetActiveTexture(Texture = None): global ActiveTexture; ActiveTexture = Texture
def SetActiveImage(Image = None): global ActiveImage; ActiveImage = Image
def SetActivePrimitive(Primitive = 0): global ActivePrimitive; ActivePrimitive = Primitive
def GetActiveScene(): global ActiveScene; return ActiveScene
def GetActiveObject(): global ActiveObject; return ActiveObject
def GetActiveMaterial(): global ActiveMaterial; return ActiveMaterial
def GetActiveTexture(): global ActiveTexture; return ActiveTexture
def GetActiveImage(): global ActiveImage; return ActiveImage
def GetActivePrimitive(): global ActivePrimitive; return ActivePrimitive
'''
#___________________________________________________________________________________________
SceneCount = 0
#create a new scene, or activate the specified scene
def SetScene( Name="Scene0" ):
global SceneCount,ActiveScene
if SceneCount==0: #change the default scene name
VIEWER.Libs[2][0][0]=(Name if type(Name)==str else "Scene"+str(SceneCount))
SceneCount+=1
else: #user defined scenes already exist
SceneIndex = None
#TODO: usa a while loop
for Index,Scene in enumerate(VIEWER.Libs[2]): #check for specified scene name/index
if Scene[0]==Name or Index==Name: SceneIndex=Index
if SceneIndex == None: #create a new scene
VIEWER.Libs[2]+=[Name if type(Name)==str else "Scene"+str(SceneCount)]
ActiveScene=len(VIEWER.Libs[2]) #set the active scene index to the newly added scene
SceneCount+=1
else: ActiveScene=SceneIndex #set the active scene index to the specified scene
__LOG('---FORMAT---: created Scene: %s'%Name)
SetScene.func_defaults=( "Scene"+str(SceneCount), )
#TODO:
#- active scene rename: SetScene( [('Name' or Index), "NewName"] )
#^this will rename the scene while setting it to active
#___________________________________________________________________________________________
ObjectSceneID = [] #the indexed object's scene index
#create a new object in the active scene, or activate and change the data in a specified object
#(if a specified object exists in another scene, that object's scene will be set as active)
def SetObject( Name="Object0", Viewport=0, LocRotSca=[], Sub_Name='', ParentName='' ):
global ActiveScene,ActiveObject,ObjectSceneID,DLRS
ObjectLib=VIEWER.Libs[3]
#Verify Data: (use Defaults if neccesary)
N = (ObjectLib[Name][0] if (type(Name)==int and Name>-1 and Name<(len(ObjectLib)+1) #get the name of the specified object
) else (Name if type(Name)==str else "Object"+str(len(ObjectLib)))) #N must be a string
VP = (Viewport if (Viewport>0 and Viewport<25) else 1) #must be 1 to 24
LRS= (DLRS if len(LocRotSca)!=9 else LocRotSca) #TODO: advanced LRS verification
SD = ["",(N if (Sub_Name=='' or type(Sub_Name)!=str) else Sub_Name),[],[]]
P = (__GetOID(ParentName) if ParentName!=('__REMOVE__' or '') else ParentName)
OID=__GetOID(N) if len(VIEWER.Libs[3])>0 else '' #try to get an active object index
if OID=='': #if this is a new object:
VIEWER.Libs[3].append([N,VP,LRS,SD,(P if len(VIEWER.Libs[3])>0 else '')]) #ignore parent index if this is the first object
VIEWER.Libs[2][ActiveScene][1]+=[len(VIEWER.Libs[3])-1]
ObjectSceneID+=[ActiveScene]
ActiveObject=len(VIEWER.Libs[3])-1
__LOG('---FORMAT---: created Object: %s'%Name)
else: #set the active object to the specicified object and change it's data
ActiveObject,ActiveScene = OID,ObjectSceneID[OID]; AO=ObjectLib[OID]
VIEWER.Libs[3][OID]=[ AO[0], #reset the object's data:
((VP if Viewport!=0 else AO[1]) if AO[1]!=VP else AO[1]),
((LRS if LRS!=DLRS else AO[2]) if AO[2]!=LRS else AO[2]),
[AO[3][0],(AO[3][1] if Sub_Name=='' else SD[1]),AO[3][2],AO[3][3]], #reset sub data name (not data)
((P if ObjectLib[OID][4]!=P else ObjectLib[OID][4]) if P!='__REMOVE__' else '')]
__LOG('---FORMAT---: re-set Object: %s'%VIEWER.Libs[3][OID][0])
SetObject.func_defaults=( "Object"+str(len(VIEWER.Libs[3])), 0, [], '', '' )
#TODO:
#- verify the object doesn't have multiple parents (important)
#- active object rename: SetObject( [('Name' or Index), "NewName"], ... )
#^this will rename the specified object while setting it active and editing it's data
#___________________________________________________________________________________________
#set the active object's type to Rig and create a new bone within it, or change the data of an existing bone
#(you will recieve an error if used on another Object type)
#(you will also recieve an error if no object is defined)
def SetBone( Name="Bone0", Viewport=0, LocRotSca=[], BindMtx=[], ParentName='', PreviousName='' ):
global ActiveObject,BoneLib,N,VP,LRS,BM,PA,PR,DLRS
BoneLib=VIEWER.Libs[3][ActiveObject][3][3]
#Verify Data: (use Defaults if neccesary)
N = (Name if type(Name)==str else "Bone"+str(len(BoneLib)))
VP = (Viewport if (Viewport>0 and Viewport<25) else 1)
LRS= (DLRS if len(LocRotSca)!=9 else LocRotSca) #TODO: advanced LRS verification
BM = (DM if len(BindMtx)!=4 else BindMtx) #TODO: advanced matrix verification
PA = (__GetBID(ParentName) if ParentName!=('__REMOVE__' or '') else '')
PR = (__GetBID(PreviousName) if PreviousName!='' else '')
def Set():
global ActiveObject,N,VP,LRS,BM,PA,PR,BoneLib
#manage the bone data:
BID= __GetBID(N) if len(BoneLib)>0 else '' #try to get an active object index
if BID=='':
VIEWER.Libs[3][ActiveObject][3][3]+=[[N,VP,LRS,BM,PA,PR]] #add a new bone
__LOG('---FORMAT---: created Bone: %s'%Name)
else:
VIEWER.Libs[3][ActiveObject][3][3][BID]=[BoneLib[BID][0], #edit the specified bone
((VP if Viewport!=0 else BoneLib[BID][1]) if BoneLib[BID][1]!=VP else BoneLib[BID][1]),
((LRS if LRS!=DLRS else BoneLib[BID][2]) if BoneLib[BID][2]!=LRS else BoneLib[BID][2]),
((BM if BM!=DM44 else BoneLib[BID][3]) if BoneLib[BID][3]!=BM else BoneLib[BID][3]),
((PA if ParentName!='' else BoneLib[BID][4]) if BoneLib[BID][4]!=PA else BoneLib[BID][4]),
((PR if ParentName!='' else BoneLib[BID][5]) if BoneLib[BID][5]!=PR else BoneLib[BID][5])]
#^- need to check for previous bone looping (in case of user error)
__LOG('---FORMAT---: re-set Bone: %s'%BoneLib[BID][0])
#validate the active object
if len(VIEWER.Libs[3])>0:
if VIEWER.Libs[3][ActiveObject][3][0]=="": VIEWER.Libs[3][ActiveObject][3][0]="_Rig";Set() #set to "_Rig" and append a bone
elif VIEWER.Libs[3][ActiveObject][3][0]=="_Rig": Set() #append a bone
else: print 'Unable to append Bone to Object of type: "'+VIEWER.Libs[3][OID][3][0].split('_')[1]+'"\nignoring current data'
else: print 'please define an object'
SetBone.func_defaults=( "Bone"+str(len(VIEWER.Libs[3][ActiveObject][3][3])), 0, [], [], '', '' )
#TODO:
#- instead of ignoring the invalid bone's data, create a new rig object to append it to
#^you will then be able to parent the "ignored" bones to their proper object using a 3D editor
#NOTE: only 1 object will be created to be the place-holder for the ignored bones (instead of 1 object for each ignored bone)
#- rename bone: SetBone( [('Name' or Index), "NewName"], ... )
#^this will rename the specified bone while also editing it's data
#___________________________________________________________________________________________
#set the active object's type to Mesh and append a primitive in it's data
#(you will recieve an error if used on another Object type)
#(you will also recieve an error if no object is defined)
def SetPrimitive( Name=UMC_TRIANGLES ):
global ActiveMaterial
#TODO: figure out how to get the var itself to display (not it's value)
if len(VIEWER.Libs[3])>0: #validate the active object
if VIEWER.Libs[3][ActiveObject][3][0]=="":
VIEWER.Libs[3][ActiveObject][3][0]="_Mesh"
VIEWER.Libs[3][ActiveObject][3][3]=[[],[],[[],[]],[[],[],[],[],[],[],[],[]],[],[]]
VIEWER.Libs[3][ActiveObject][3][3][5]+=[[Name,[]]] #set to "_Mesh" and append a primitive
elif VIEWER.Libs[3][ActiveObject][3][0]=="_Mesh":
VIEWER.Libs[3][ActiveObject][3][3][5]+=[[Name,[]]] #append a primitive
else: #return error
print 'Unable to append Primitive to Object of type: "'+VIEWER.Libs[3][OID][3][0].split('_')[1]+'"\nignoring current data'
else: print 'please define an object'
#'''
'''
if ActiveMaterial!=None:
if VIEWER.Libs[3][ActiveObject][3][2] != ActiveMaterial:
VIEWER.Libs[3][ActiveObject][3][2] = ActiveMaterial
#'''
SetPrimitive.func_defaults=( Name, )
#TODO:
#- index the proper primitive to add facepoints to
#^(I personally havn't seen a format you'd need this option for, but the possibility of it still lies about)
#___________________________________________________________________________________________
#set the active object's type to Mesh and append a valid Vector List to it's data
#(you will recieve an error if used on another Object type)
#(you will also recieve an error if no object is defined)
def SetVerts( List=[] ):
global ActiveObject
if len(VIEWER.Libs[3])>0:
if VIEWER.Libs[3][ActiveObject][3][0]=="":
VIEWER.Libs[3][ActiveObject][3][0]="_Mesh"
VIEWER.Libs[3][ActiveObject][3][3]=[List,[],[[],[]],[[],[],[],[],[],[],[],[]],[],[]]
__LOG('---FORMAT---: set Vert List with %i verts'%len(List))
elif VIEWER.Libs[3][ActiveObject][3][0]=="_Mesh":
VIEWER.Libs[3][ActiveObject][3][3][0]=List
__LOG('---FORMAT---: set Vert List with %i verts'%len(List))
else: print 'Unable to append Vert List to Object of type: "'+VIEWER.Libs[3][OID][3][0].split('_')[1]+'"\nignoring current data'
else: print 'please define an object'
def SetNormals( List=[] ):
global ActiveObject
if len(VIEWER.Libs[3])>0:
if VIEWER.Libs[3][ActiveObject][3][0]=="":
VIEWER.Libs[3][ActiveObject][3][0]="_Mesh"
VIEWER.Libs[3][ActiveObject][3][3]=[[],List,[[],[]],[[],[],[],[],[],[],[],[]],[],[]]
__LOG('---FORMAT---: set Normal List with %i normals'%len(List))
elif VIEWER.Libs[3][ActiveObject][3][0]=="_Mesh":
VIEWER.Libs[3][ActiveObject][3][3][1]=List
__LOG('---FORMAT---: set Normal List with %i normals'%len(List))
else: print 'Unable to append Normal List to Object of type: "'+VIEWER.Libs[3][OID][3][0].split('_')[1]+'"\nignoring current data'
else: print 'please define an object'
def SetColors( List0=[], List1=[] ):
global ActiveObject
if len(VIEWER.Libs[3])>0:
if VIEWER.Libs[3][ActiveObject][3][0]=="":
VIEWER.Libs[3][ActiveObject][3][0]="_Mesh"
VIEWER.Libs[3][ActiveObject][3][3]=[[],[],[List0,List1],[[],[],[],[],[],[],[],[]],[],[]]
__LOG('---FORMAT---: set Color Lists with [%i,%i] colors'%(len(List0),len(List1)))
elif VIEWER.Libs[3][ActiveObject][3][0]=="_Mesh":
VIEWER.Libs[3][ActiveObject][3][3][2]=[List0,List1]
__LOG('---FORMAT---: set Color Lists with [%i,%i] colors'%(len(List0),len(List1)))
else: print 'Unable to append Color Lists to Object of type: "'+VIEWER.Libs[3][OID][3][0].split('_')[1]+'"\nignoring current data'
else: print 'please define an object'
def SetUVs( List0=[], List1=[], List2=[], List3=[], List4=[], List5=[], List6=[], List7=[] ):
global ActiveObject
if len(VIEWER.Libs[3])>0:
if VIEWER.Libs[3][ActiveObject][3][0]=="":
VIEWER.Libs[3][ActiveObject][3][0]="_Mesh"
VIEWER.Libs[3][ActiveObject][3][3]=[[],[],[[],[]],[List0,List1,List2,List3,List4,List5,List6,List7],[],[]]
__LOG('---FORMAT---: set UV Lists with [%i,%i,%i,%i,%i,%i,%i,%i] UVs'%(
len(List0),len(List1),len(List2),len(List3),len(List4),len(List5),len(List6),len(List7)))
elif VIEWER.Libs[3][ActiveObject][3][0]=="_Mesh":
VIEWER.Libs[3][ActiveObject][3][3][0]=[List0,List1,List2,List3,List4,List5,List6,List7]
__LOG('---FORMAT---: set UV Lists with [%i,%i,%i,%i,%i,%i,%i,%i] UVs'%(
len(List0),len(List1),len(List2),len(List3),len(List4),len(List5),len(List6),len(List7)))
else: print 'Unable to append UV Lists to Object of type: "'+VIEWER.Libs[3][OID][3][0].split('_')[1]+'"\nignoring current data'
else: print 'please define an object'
#TODO:
#- validate vector lists
#- Validate replacements (don't replace a data with a default unless specified)
#___________________________________________________________________________________________
#Vectors: [ X, Y(, Z) ]
#Colors: [R,G,B,A] int( 0 : 255 ) OR float( 0.0 : 1.0 )
#^be careful not to specify an int when your type is float (for colors)
#^2D Verts and Normals are allowd.
#append a facepoint to the active primitive with the specified vectors
#(colors and uv's in list format are assumed to be single channel, and are read as such)
def __Index(value,List,Type=''): #returns either a valid index or ''
if type(value)==tuple: value=list(value)
if type(value)==list: #[X,Y(,Z)] or [I/R(,A/G(,B(,A)))]
try: return List.index(value)
except:
List+=[value]
__LOG('---FORMAT---: set %s: %s'%(Type,str(value)))
return List.index(value) #vector or color
elif type(value)==int: return value #index (doesn't validate against len(list))
elif type(value)==str: return '' #no vector (validate any string to '')
def SetFacepoint( Vert='', Normal='', Color='', UV='' ):
global ActiveObject
#verify we havn't switched objects to an invalid type before trying to add facepoints:
if VIEWER.Libs[3][ActiveObject][3][0]=="_Mesh": #we can only set the facepoints of an active mesh object
if len(VIEWER.Libs[3][ActiveObject][3][3])>0: #we can't append facepoints to an object with no primitives.
Colors,UVs = VIEWER.Libs[3][ActiveObject][3][3][2],VIEWER.Libs[3][ActiveObject][3][3][3]
VID = __Index(Vert,VIEWER.Libs[3][ActiveObject][3][3][0],'Vert')
NID = __Index(Normal,VIEWER.Libs[3][ActiveObject][3][3][1],'Nornal')
CIDs = ( (__Index(Color[0],Colors[0],'Color0')
,(__Index(Color[1],Colors[1],'Color1') if len(Color)==2 else '')
) if type(Color)==tuple else (__Index(Color,Colors[0]),'') )
UVIDs = ( (__Index(UV[0],UVs[0],'UV0')
,(__Index(UV[1],UVs[1],'UV1') if len(UV)>=2 else '')
,(__Index(UV[2],UVs[2],'UV2') if len(UV)>=3 else '')
,(__Index(UV[3],UVs[3],'UV3') if len(UV)>=4 else '')
,(__Index(UV[4],UVs[4],'UV4') if len(UV)>=5 else '')
,(__Index(UV[5],UVs[5],'UV5') if len(UV)>=6 else '')
,(__Index(UV[6],UVs[6],'UV6') if len(UV)>=7 else '')
,(__Index(UV[7],UVs[7],'UV7') if len(UV)==8 else '')
) if type(UV)==tuple else (__Index(UV,UVs[0]),'','','','','','','')
)
VIEWER.Libs[3][ActiveObject][3][3][5][-1][1]+=[[VID,NID,CIDs,UVIDs]]
__LOG('---FORMAT---: set Facepoint: [%s, %s, %s, %s]'%(str(VID),str(NID),str(CIDs),str(UVIDs)))
else: print 'unable to append to a non-existant primitive'
else:
print 'Unable to append Facepoint to Object of type: "'+VIEWER.Libs[3][OID][3][0].split('_')[1]+'"'
print 'Make sure the active object is a Mesh-type Object before trying to append Facepoints'
#TODO:
#- strict-er inputs (no errors allowed)
#___________________________________________________________________________________________
#this function is used to give a bone weight to the current (existing) vert
def SetWeight( BoneName=0, Weight=1.0, VertID='' ): #VertID is a TODO (should accept both list and int)
global ActiveObject
#verify we havn't switched objects to an invalid type:
if ActiveObject != None:
SD = VIEWER.Libs[3][ActiveObject][3]
if VIEWER.Libs[3][ActiveObject][4] != '':
ParentObject = VIEWER.Libs[3][VIEWER.Libs[3][ActiveObject][4]]
if ParentObject[3][0] == "_Rig": #parent object must be a _Rig object
if type(BoneName) == int: #check for the bone name in the parent _Rig oblect
if BoneName < len(ParentObject[3][3]): #is the index w/in the bone count?
BoneName = ParentObject[3][3][BoneName][0] #must be a string
else: BoneName = 'Bone'+str(BoneName) #must be a string
else: BoneName = 'Bone'+str(BoneName)
else: BoneName = 'Bone'+str(BoneName)
if SD[0]=="_Mesh":
if len(SD[3][5]): #Has Primitives
if len(SD[3][5][-1][1]): #Has facepoints
if len(SD[3][0]): #Has Verts
#WGrps,found,WGid = SD[3][4],0,0
WGrps,found = SD[3][4],0
Vid = SD[3][5][-1][1][-1][0] #vert index from current primitive's current facepoint
if len(WGrps)>0:
'''
while WGid < len(WGrps)-1 or not found: #faster (stops if found or at end)
WGN,WGFs,WGVs = WGrps[WGid]
if WGN == BoneName: #append Vid to an existing weight group
WFid = len(WGFs) #assume the weight is a new weight
try: WFid = WGFs.index(Weight) #try to get a valid weight index
except: VIEWER.Libs[3][ActiveObject][3][3][4][WGid][1]+=[Weight] #append new weight
VIEWER.Libs[3][ActiveObject][3][3][4][WGid][2]+=[[Vid,WFid]]
found = 1
WGid += 1
''' #^???throws an indexing error...???
for WGid,WG in enumerate(WGrps):
WGN,WGFs,WGVs = WG
if WGN == BoneName: #append Vid to an existing weight group
WFid = len(WGFs) #assume the weight is a new weight
try: WFid = WGFs.index(Weight) #try to get a valid weight index
except: VIEWER.Libs[3][ActiveObject][3][3][4][WGid][1].append(Weight) #append new weight
VIEWER.Libs[3][ActiveObject][3][3][4][WGid][2].append([Vid,WFid])
found = 1
#'''
if not found: #append Vid to a new weight group
VIEWER.Libs[3][ActiveObject][3][3][4]+=[[BoneName,[Weight],[[Vid,0]]]]
#check get the vert index and append it to the specified weight
#VIEWER.Libs[3][ActiveObject][3][3][-1][-1][4].append([Weight,Bones])
#TODO:
#- use VID to index a specific vert. (some model formats may force you to use this)
#(currently indexing the last used vert (OpenGL-style))
#___________________________________________________________________________________________
#defines a new material to be used
def SetMaterial(Name="Material0"):
global ActiveObject, ActiveMaterial
#check if our material exists or create a new material
MID = __GetMID(Name)
if MID!='': #if so, update the material
#Textures = VIEWER.Libs[4][MID][3] #preserve the textures
ActiveMaterial = MID
__LOG('---FORMAT---: set Active Material to: %s'%VIEWER.Libs[4][MID][0])
else:
VIEWER.Libs[4] += [[Name, '', [[1.0,1.0,1.0,1.0],[1.0,1.0,1.0,1.0],[0.5,0.5,0.5,1.0],[0.0,0.0,0.0,0.0],25.0], [], [], []]]
ActiveMaterial = len(VIEWER.Libs[4])-1
__LOG('---FORMAT---: created Material: %s'%Name)
if VIEWER.Libs[3][ActiveObject][3][2] != ActiveMaterial:
VIEWER.Libs[3][ActiveObject][3][2] = ActiveMaterial
SetMaterial.func_defaults=( "Material"+str(len(VIEWER.Libs[4])), )
#set the colors of the current material
def SetMatColors( Ambient = None, Diffuse = None, Specular = None, Emmisive = None, Shine = None ):
global ActiveMaterial
r = 1.0/255
if len(VIEWER.Libs[4])>0:
try:
AR,AG,AB,AA = Ambient
if type(AR) == int: AR,AG,AB,AA = AR*r,AG*r,AB*r,AA*r
except: AR,AG,AB,AA = VIEWER.Libs[4][ActiveMaterial][2][0]
try:
DR,DG,DB,DA = Diffuse
if type(DR) == int: DR,DG,DB,DA = DR*r,DG*r,DB*r,DA*r
except: DR,DG,DB,DA = VIEWER.Libs[4][ActiveMaterial][2][1]
try:
SR,SG,SB,SA = Specular
if type(SR) == int: SR,SG,SB,SA = SR*r,SG*r,SB*r,SA*r
except: SR,SG,SB,SA = VIEWER.Libs[4][ActiveMaterial][2][2]
try:
ER,EG,EB,EA = Emmisive
if type(ER) == int: ER,EG,EB,EA = ER*r,EG*r,EB*r,EA*r
except: ER,EG,EB,EA = VIEWER.Libs[4][ActiveMaterial][2][3]
if Shine==None: Shine=VIEWER.Libs[4][ActiveMaterial][2][4]
VIEWER.Libs[4][ActiveMaterial][2] = [[AR,AG,AB,AA],[DR,DG,DB,DA],[SR,SG,SB,SA],[ER,EG,EB,EA],Shine]
__LOG('---FORMAT---: set Material colors to: %s'%str(VIEWER.Libs[4][ActiveMaterial][2]))
#___________________________________________________________________________________________
def SetTexture(Name="Texture0"):
global ActiveMaterial,ActiveTexture
TID = __GetTID(Name)
if TID!='':
ActiveTexture = TID
__LOG('---FORMAT---: set Active Texture to: %s'%VIEWER.Libs[6][TID][0])
else:
VIEWER.Libs[6] += [[Name,[],[],[],'',[]]] #TexName,TexParams,EnvParams,TReserved2,ImageName,TReserved3
ActiveTexture = len(VIEWER.Libs[6])-1
__LOG('---FORMAT---: created Texture: %s'%Name)
if ActiveMaterial!=None:
if ActiveTexture not in VIEWER.Libs[4][ActiveMaterial][3]:
VIEWER.Libs[4][ActiveMaterial][3] += [ActiveTexture]
__LOG('---FORMAT---: added Texture to Material: %s'%VIEWER.Libs[4][ActiveMaterial][0])
SetTexture.func_defaults=( "Texture"+str(len(VIEWER.Libs[6])), )
#___________________________________________________________________________________________
def SetImage(Name="Image0",Width=0,Height=0,Data=[]):
global ActiveTexture,ActiveImage
resolved = 0
IID = __GetIID(Name)
if IID!='':
ActiveImage = IID
__LOG('---FORMAT---: set Active Image to: %s'%VIEWER.Libs[7][IID][0])
else: #NOTE: Pallet not supported yet (last index)
if type(Data) == list:
VIEWER.Libs[7] += [[Name,Width,Height,Data,[]]]
else:
VIEWER.Libs[7] += [[Name,1,1,[[255,255,255,255]],[]]]
ActiveImage = len(VIEWER.Libs[7])-1
__LOG('---FORMAT---: created Image: %s'%Name)
if type(Data) == str: #image directory
it = Data.split('.')[-1] #get the file type
current,offset = COMMON.__c,COMMON.__o
try:
import sys
__LOG('---FORMAT---: loading image data from %s'%Data)
COMMON.ImportFile(Data,1)
W,H,img,plt = sys.modules[COMMON._ImgScripts[it]].ImportImage(it)
VIEWER.Libs[7][ActiveImage][1] = W
VIEWER.Libs[7][ActiveImage][2] = H
VIEWER.Libs[7][ActiveImage][3] = img
VIEWER.Libs[7][ActiveImage][4] = plt
del W; del H; del img; del plt #cleanup
#resolved = 1
except:
__LOG('---FORMAT---: encountered an error trying to read from the image.')
import sys,traceback
typ,val,tb=sys.exc_info()#;tb=traceback.extract_tb(i[2])[0]
print
traceback.print_exception(
typ,val,tb#,
#limit=2,
#file=sys.stdout
)
print
COMMON.__c,COMMON.__o = current,offset
if ActiveTexture!=None and not resolved:
VIEWER.Libs[6][ActiveTexture][4] = Name
__LOG('---FORMAT---: added Image to Texture: %s'%VIEWER.Libs[6][ActiveTexture][0])
SetImage.func_defaults=( "Image"+str(len(VIEWER.Libs[7])), )
#___________________________________________________________________________________________
#return the mesh-objects from either the specified scene, or from the object library
def __Sort(List,Type):
L=[]
for ID,Object in enumerate(List):
if type(Object)==int:
if VIEWER.Libs[3][Object][3][0]==Type: L+=[Object]
else:
if Object[3][0]==Type: L+=[ID]
return L
def GetMeshObjects(Scene=''):
if type(Scene)==str:
if Scene=='': return __Sort(VIEWER.Libs[3], "_Mesh")
else: return __Sort(VIEWER.Libs[2][VIEWER.Libs[2].index(Scene)][1], "_Mesh")
elif type(Scene)==int: return Sort(VIEWER.Libs[2][Scene][1])
def GetRigObjects(Scene=''):
if type(Scene)==str:
if Scene=='': return __Sort(VIEWER.Libs[3], "_Rig")
else: return __Sort(VIEWER.Libs[2][VIEWER.Libs[2].index(Scene)][1], "_Rig")
elif type(Scene)==int: return Sort(VIEWER.Libs[2][Scene][1])
#TODO: better error handling on SceneLib.index(Scene) and SceneLib[Scene]
#___________________________________________________________________________________________
def GetObjectName(Object=0):
if type(Object)==int: return VIEWER.Libs[3][Object][0]
elif type(Object)==str: return Object
#___________________________________________________________________________________________
def GetVerts(Object=''):
if type(Object)==int: return VIEWER.Libs[3][Object][3][3][0]
elif type(Object)==str: VIEWER.Libs[3][__GetOID(Object)][3][3][0]
#___________________________________________________________________________________________
def GetNormals(Object=''):
if type(Object)==int: return VIEWER.Libs[3][Object][3][3][1]
elif type(Object)==str: VIEWER.Libs[3][__GetOID(Object)][3][3][1]
#___________________________________________________________________________________________
def GetColors(Object='',Channel=0):
if type(Object)==int: return VIEWER.Libs[3][Object][3][3][2][Channel]
elif type(Object)==str: VIEWER.Libs[3][__GetOID(Object)][3][3][2][Channel]
#___________________________________________________________________________________________
def GetUVs(Object='',Channel=0):
if type(Object)==int: return VIEWER.Libs[3][Object][3][3][3][Channel]
elif type(Object)==str: VIEWER.Libs[3][__GetOID(Object)][3][3][3][Channel]
#___________________________________________________________________________________________
def GetPrimitives(Object=''):
if type(Object)==int: return VIEWER.Libs[3][Object][3][3][5]
elif type(Object)==str: VIEWER.Libs[3][__GetOID(Object)][3][3][5]
#___________________________________________________________________________________________
def AsTriangles( PrimitivesList, Option=0 ):
Triangles,Quads = [],[] #NOTE: "Quads" is only for single primitive conversion
for Primitive in PrimitivesList:
index = 0;Tris = [3,[]]
switch(Primitive[0])
if case(0): #points
if option==(1 or 3): pass #primitive is not Tri/Quad
else: Triangles+=[Primitive]
if case(1): #lines
if option==(1 or 3): pass #primitive is not Tri/Quad
else: Triangles+=[Primitive]
if case(2): #line-strips
if option==(1 or 3): pass #primitive is not Tri/Quad
else: Triangles+=[Primitive]
if case(3): #line-loops
if option==(1 or 3): pass #primitive is not Tri/Quad
else: Triangles+=[Primitive]
if case(4): #triangles
if option==(1 or 3): Triangles+=Primitive[1] #single primitive
else: Triangles+=[Primitive]
if case(5): #tri-strips
while index != len(Primitive[1])-2:
T=[Primitive[1][index],Primitive[1][index+1],Primitive[1][index+2]]
if T[0] != T[1] and T[0] != T[2] and T[1] != T[2]: Tris[1]+=(T.reverse() if index%2 else T)
index += 1
if option==(1 or 3): Triangles+=Tris[1] #single primitive
else: Triangles+=[Tris]
if case(6): #tri-fans
P=[Primitive[1][index]]
while index != len(Primitive[1])-2:
T=P+[Primitive[1][index+1],Primitive[1][index+2]]
if T[0] != T[1] and T[0] != T[2] and T[1] != T[2]: Tris[1]+=(T.reverse() if index%2 else T)
index += 1
if option==(1 or 3): Triangles+=Tris[1] #single primitive
else: TrianglesList+=[Tris]
if case(7): #quads
while index != len(Primitive[1]):
Q=[Primitive[1][index],Primitive[1][index+1],Primitive[1][index+2],Primitive[1][index+3]]
Tris[1]+=[Q[0],Q[1],Q[2],Q[1],Q[2],Q[3]] #TODO: face flipping
index += 4
switch(option)
if case(0): Triangles+=[Tris]
if case(1): Triangles+=Tris[1]
if case(2): Triangles+=[Primitive]
if case(3): Quads+=Primitive[1]
if case(8): #quad-strips
Qds=[]
pass #unknown handling atm (TODO)
if case(9): #Polygons
pass #unknown handling atm (TODO)
switch(Option)
if case(0): return Triangles#................multiple triangle primitives
if case(1): return [[3,Triangles]]#..........single triangle primitive
if case(2): return Triangles#................multiple triangle and quad primitives
if case(3): return [[3,Triangles],[6,Quads]]#single triangle and quad primitive
'''
def convertFromTriangles( TrianglesList ):
P=ConvertToTriangles(TrianglesList,1) #only works for single tris atm
'''
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#1
#v 0.001
from ERROR import *
"""
TODO's:
- SetLight():
###
I have to learn about these a little more :P
"""
#global public usage variables:
global UGE_POINTS,UGE_LINES,UGE_LINESTRIP,UGE_LINELOOP,UGE_TRIANGLES,UGE_TRIANGLESTRIP,UGE_TRIANGLEFAN,UGE_QUADS,UGE_QUADSTRIP,UGE_POLYGON
UGE_POINTS,UGE_LINES,UGE_LINESTRIP,UGE_LINELOOP,UGE_TRIANGLES,UGE_TRIANGLESTRIP,UGE_TRIANGLEFAN,UGE_QUADS,UGE_QUADSTRIP,UGE_POLYGON = [1<<s for s in range(10)]
class __FormatHandler:
class SceneManager:
def __init__(self):
self.RenameDefault=1
self.IDs={"Default_Scene":0} #indexing
self.current="Default_Scene"
_Scenes={"Default_Scene":[]} #{ SceneName : [ObjectIDs] }
def NewName(self): return "Scene_%i"%(len(self.IDs)-self.RenameDefault)
def HasScene(self,Name):
#'return False' uses the currently active scene
if type(Name)==str: #Scene Name
if Name in self.IDs: #does the name exist?
self.current=Name
return True
elif type(Name)==int: #Scene Index
if -1<Name<len(self.IDs): #are we within range?
self.current=self.IDs.keys()[self.IDs.values().index(Name)]
#^not exactly the best method... (trying to avoid using another iterator)
return True
return False
def AddScene(self,Name):
if type(Name)==str:
if self.RenameDefault: #is this the first scene?
self._Scenes={Name:self._Scenes["Default_Scene"]}
self.IDs={Name:0}
self.current=Name
self.RenameDefault=0
else:
self._Scenes.update({Name:[]})
self.current=Name
self.IDs.update({Name:len(self.IDs)})
else:
pass #can't add scene with this name (or type)
def CID(self): return self.IDs[self.current]
#objecs always create a link to the current scene when created/called
#(multiple scenes can reference the same object)
def LinkObject(self,ID): #for objects only (so far) called from ObjectManager
if ID not in self._Scenes[self.current]: self._Scenes[self.current]+=[ID]
class ObjectManager:
class _Rig:
_Bones={}
class _Object:
LocX,LocY,LocZ=0.0,0.0,0.0
RotX,RotY,RotZ=0.0,0.0,0.0
ScaX,ScaY,ScaZ=1.0,1.0,1.0
ParentID=''
#the data contained by the object: ('_Rig','_Mesh' ,'_Curve','_Surface','_NURBS','_DMesh')
Data=[]
DataName=None #this is set with the object name upon object creation
DataType=''
def __init__(self):
self.IDs={} #for indexing objects
self.current=None
_Objects={}
def NewName(self): return "Object_%i"%len(self.IDs)
def HasObject(self,Name):
#'return False' uses the currently active object
if type(Name)==str: #Object Name
if Name in self.IDs: #does the name exist?
self.current=Name
return True
elif type(Name)==int: #Object Index
if -1<Name<len(self.IDs): #are we within range?
self.current=self.IDs.keys()[self.IDs.values().index(Name)]
#^not exactly the best method... (trying to avoid using another iterator)
return True
return False
def AddObject(self,Name):
if type(Name)==str:
self._Objects.update({Name:self._Object()})
self._Objects[Name].DataName=Name
self.current=Name
self.IDs.update({Name:len(self.IDs)})
#Scenes.LinkObject(self.IDs[self.current])
else:
pass #can't add object with this name (or type)
def CID(self): return self.IDs[self.current]
def RenameObjectData(self,Name): self._Objects[self.current].DataName=Name
def ParentObject(self,Name): pass
def SetLocX(self,X): self._Objects[self.current].LocX=X
def SetLocY(self,Y): self._Objects[self.current].LocY=Y
def SetLocZ(self,Z): self._Objects[self.current].LocZ=Z
def SetRotX(self,X): self._Objects[self.current].RotX=X
def SetRotY(self,Y): self._Objects[self.current].RotY=Y
def SetRotZ(self,Z): self._Objects[self.current].RotZ=Z
def SetScaX(self,X): self._Objects[self.current].ScaX=X
def SetScaY(self,Y): self._Objects[self.current].ScaY=Y
def SetScaZ(self,Z): self._Objects[self.current].ScaZ=Z
Scenes=SceneManager()
Objects=ObjectManager()
def Contents(self):
print 'Scenes:',self.Scenes._Scenes
print 'Objects:',self.Objects._Objects
def GL_Draw(self): #Called by VIEWER to draw specific objects to the scene
pass
#def ToFormat(self): #returns SESv1 format
#def FromFormat(self,fmt=[]): #sets data from SESv1 evaluated input data
#def Clear(self):
__Format=__FormatHandler()
#-------------------------------------------------------
# user functions:
#-------------------------------------------------------
#adds a new scene (renames the default scene), or activates an existing scene
def ugeSetScene(Name=__Format.Scenes.NewName()):
if not __Format.Scenes.HasScene(Name): __Format.Scenes.AddScene(Name)
ugeSetScene.func_defaults=(__Format.Scenes.NewName(),)
return __Format.Scenes.CID() #return the Current ID
#adds a new object, or activates an existing object
def ugeSetObject(Name=__Format.Objects.NewName()):
if not __Format.Objects.HasObject(Name): __Format.Objects.AddObject(Name)
CID = __Format.Objects.CID(); __Format.Scenes.LinkObject(CID)
ugeSetObject.func_defaults=(__Format.Objects.NewName(),)
return CID #return the Current ID
def ugeSetObjectDataName(Name): __Format.Objects.RenameObjectData(Name)
#set's the current object's parent
def ugeSetObjectParent(Name):
if __Format.Objects.HasObject(Name): __Format.Objects.ParentObject(Name)
#resets the current object's Location
def ugeSetObjectLoc(X=0.0,Y=0.0,Z=0.0):
if (type(X)==list or type(X)==tuple) and len(X)==3: X,Y,Z=X
elif type(X)==float: __Format.Objects.SetLocX(X);__Format.Objects.SetLocY(Y);__Format.Objects.SetLocZ(Z)
#individual functions for those formats that need them <_<
def ugeSetObjectLocX(X): __Format.Objects.SetLocX(X)
def ugeSetObjectLocY(Y): __Format.Objects.SetLocY(Y)
def ugeSetObjectLocZ(Z): __Format.Objects.SetLocZ(Z)
#resets the current object's Rotation
def ugeSetObjectRot(X=0.0,Y=0.0,Z=0.0):
if (type(X)==list or type(X)==tuple) and len(X)==3: X,Y,Z=X
elif type(X)==float: __Format.Objects.SetRotX(X);__Format.Objects.SetRotY(Y);__Format.Objects.SetRotZ(Z)
def ugeSetObjectRotX(X): __Format.Objects.SetRotX(X)
def ugeSetObjectRotY(Y): __Format.Objects.SetRotY(Y)
def ugeSetObjectRotZ(Z): __Format.Objects.SetRotZ(Z)
#resets the current object's Scale
def ugeSetObjectSca(X=1.0,Y=1.0,Z=1.0):
if (type(X)==list or type(X)==tuple) and len(X)==3: X,Y,Z=X
elif type(X)==float: __Format.Objects.SetScaX(X);__Format.Objects.SetScaY(Y);__Format.Objects.SetScaZ(Z)
def ugeSetObjectScaX(X): __Format.Objects.SetScaX(X)
def ugeSetObjectScaY(Y): __Format.Objects.SetScaY(Y)
def ugeSetObjectScaZ(Z): __Format.Objects.SetScaZ(Z)
"""
class old_format():
#global defaults (bypassing re-definition from functions (speedup))
DLRS=[0.0,0.0,0.0, 0.0,0.0,0.0, 1.0,1.0,1.0]
DM=[[1.0,0.0,0.0,0.0], [0.0,1.0,0.0,0.0], [0.0,0.0,1.0,0.0], [0.0,0.0,0.0,1.0]]
#___________________________________________________________________________________________
import VIEWER
#VIEWER.Libs[MatNodes, Images, Textures, Materials, Scenes, Objects]
#Active Data:
ActiveScene = 0
ActiveObject = None
ActiveMaterial = None
ActivePrimitive = 0 #in active object
def __GetOID(N): #check for specified object name/ID
ID=''
if type(N)==int: ID=('' if N>len(VIEWER.Libs[5]) else N) #N=1
else: #N="Object1"
###need a faster indexing method here
###VIEWER.Libs[5].index(N) won't work as VIEWER.Libs[5] values are lists with random internal datas
for I,O in enumerate(VIEWER.Libs[5]): #TODO: use a while loop (stop the loop if found)
if O[0]==N: ID=I
return ID #return int() if found
#___________________________________________________________________________________________
SceneCount = 0
#create a new scene, or activate the specified scene
def SetScene( Name="Scene0" ):
global SceneCount,ActiveScene
if SceneCount==0: #change the default scene name
VIEWER.Libs[4][0][0]=(Name if type(Name)==str else "Scene"+str(SceneCount))
SceneCount+=1
else: #user defined scenes already exist
SceneIndex = None
#TODO: usa a while loop
for Index,Scene in enumerate(VIEWER.Libs[4]): #check for specified scene name/index
if Scene[0]==Name or Index==Name: SceneIndex=Index
if SceneIndex == None: #create a new scene
VIEWER.Libs[4]+=[Name if type(Name)==str else "Scene"+str(SceneCount)]
ActiveScene=len(VIEWER.Libs[4]) #set the active scene index to the newly added scene
SceneCount+=1
else: ActiveScene=SceneIndex #set the active scene index to the specified scene
SetScene.func_defaults=( "Scene"+str(SceneCount), )
#TODO:
#- active scene rename: SetScene( [('Name' or Index), "NewName"] )
#^this will rename the scene while setting it to active
#___________________________________________________________________________________________
ObjectSceneID = [] #the indexed object's scene index
#create a new object in the active scene, or activate and change the data in a specified object
#(if a specified object exists in another scene, that object's scene will be set as active)
def SetObject( Name="Object0", Viewport=0, LocRotSca=[], Sub_Name='', ParentName='' ):
global ActiveScene,ActiveObject,ObjectSceneID,DLRS
ObjectLib=VIEWER.Libs[5]
#Verify Data: (use Defaults if neccesary)
N = (ObjectLib[Name][0] if (type(Name)==int and Name>-1 and Name<(len(ObjectLib)+1) #get the name of the specified object
) else (Name if type(Name)==str else "Object"+str(len(ObjectLib)))) #N must be a string
VP = (Viewport if (Viewport>0 and Viewport<25) else 1) #must be 1 to 24
LRS= (DLRS if len(LocRotSca)!=9 else LocRotSca) #TODO: advanced LRS verification
SD = ["",(N if (Sub_Name=='' or type(Sub_Name)!=str) else Sub_Name),[],[]]
P = (__GetOID(ParentName) if ParentName!=('__REMOVE__' or '') else ParentName)
OID=__GetOID(N) if len(VIEWER.Libs[5])>0 else '' #try to get an active object index
if OID=='': #if this is a new object:
VIEWER.Libs[5].append([N,VP,LRS,SD,(P if len(VIEWER.Libs[5])>0 else '')]) #ignore parent index if this is the first object
VIEWER.Libs[4][ActiveScene][1]+=[len(VIEWER.Libs[5])-1]
ObjectSceneID+=[ActiveScene]
ActiveObject=len(VIEWER.Libs[5])-1
else: #set the active object to the specicified object and change it's data
ActiveObject,ActiveScene = OID,ObjectSceneID[OID]; AO=ObjectLib[OID]
VIEWER.Libs[5][OID]=[ AO[0], #reset the object's data:
((VP if Viewport!=0 else AO[1]) if AO[1]!=VP else AO[1]),
((LRS if LRS!=DLRS else AO[2]) if AO[2]!=LRS else AO[2]),
[AO[3][0],(AO[3][1] if Sub_Name=='' else SD[1]),AO[3][2],AO[3][3]], #reset sub data name (not data)
((P if ObjectLib[OID][4]!=P else ObjectLib[OID][4]) if P!='__REMOVE__' else '')]
SetObject.func_defaults=( "Object"+str(len(VIEWER.Libs[5])), 0, [], '', '' )
#TODO:
#- verify the object doesn't have multiple parents (important)
#- active object rename: SetObject( [('Name' or Index), "NewName"], ... )
#^this will rename the specified object while setting it active and editing it's data
#___________________________________________________________________________________________
#set the active object's type to Rig and create a new bone within it, or change the data of an existing bone
#(you will recieve an error if used on another Object type)
#(you will also recieve an error if no object is defined)
def SetBone( Name="Bone0", Viewport=0, LocRotSca=[], BindMtx=[], ParentName='', PreviousName='' ):
global ActiveObject,BoneLib,N,VP,LRS,BM,PA,PR,DLRS
BoneLib=VIEWER.Libs[5][ActiveObject][3][3]
def GetID(S): #check for specified bone name/ID
global BoneLib
ID=''
if type(S)==int: ID=('' if S>len(BoneLib) else S) #S=1
else: #S="Bone1"
###need a faster indexing method here
###BoneLib.index(N) won't work as BoneLib values are lists with random internal datas
for I,B in enumerate(BoneLib):
if B[0]==S: ID=I
return ID
#Verify Data: (use Defaults if neccesary)
N = (Name if type(Name)==str else "Bone"+str(len(BoneLib)))
VP = (Viewport if (Viewport>0 and Viewport<25) else 1)
LRS= (DLRS if len(LocRotSca)!=9 else LocRotSca) #TODO: advanced LRS verification
BM = (DM if len(BindMtx)!=4 else BindMtx) #TODO: advanced matrix verification
PA = (GetID(ParentName) if ParentName!=('__REMOVE__' or '') else '')
PR = (GetID(PreviousName) if PreviousName!='' else '')
def Set():
global ActiveObject,N,VP,LRS,BM,PA,PR,BoneLib
#manage the bone data:
BID= GetID(N) if len(BoneLib)>0 else '' #try to get an active object index
if BID=='': VIEWER.Libs[5][ActiveObject][3][3]+=[[N,VP,LRS,BM,PA,PR]] #add a new bone
else: VIEWER.Libs[5][ActiveObject][3][3][BID]=[BoneLib[BID][0], #edit the specified bone
((VP if Viewport!=0 else BoneLib[BID][1]) if BoneLib[BID][1]!=VP else BoneLib[BID][1]),
((LRS if LRS!=DLRS else BoneLib[BID][2]) if BoneLib[BID][2]!=LRS else BoneLib[BID][2]),
((BM if BM!=DM44 else BoneLib[BID][3]) if BoneLib[BID][3]!=BM else BoneLib[BID][3]),
((PA if ParentName!='' else BoneLib[BID][4]) if BoneLib[BID][4]!=PA else BoneLib[BID][4]),
((PR if ParentName!='' else BoneLib[BID][5]) if BoneLib[BID][5]!=PR else BoneLib[BID][5])]
#^- need to check for previous bone looping (in case of user error)
#validate the active object
if len(VIEWER.Libs[5])>0:
if VIEWER.Libs[5][ActiveObject][3][0]=="": VIEWER.Libs[5][ActiveObject][3][0]="_Rig";Set() #set to "_Rig" and append a bone
elif VIEWER.Libs[5][ActiveObject][3][0]=="_Rig": Set() #append a bone
else: print 'Unable to append Bone to Object of type: "'+VIEWER.Libs[5][OID][3][0].split('_')[1]+'"\nignoring current data'
else: print 'please define an object'
SetBone.func_defaults=( "Bone"+str(len(VIEWER.Libs[5][ActiveObject][3][3])), 0, [], [], '', '' )
#TODO:
#- instead of ignoring the invalid bone's data, create a new rig object to append it to
#^you will then be able to parent the "ignored" bones to their proper object using a 3D editor
#NOTE: only 1 object will be created to be the place-holder for the ignored bones (instead of 1 object for each ignored bone)
#- rename bone: SetBone( [('Name' or Index), "NewName"], ... )
#^this will rename the specified bone while also editing it's data
#___________________________________________________________________________________________
#set the active object's type to Mesh and append a primitive in it's data
#(you will recieve an error if used on another Object type)
#(you will also recieve an error if no object is defined)
def SetPrimitive( Name=UMC_TRIANGLES ):
#TODO: figure out how to get the var itself to display (not it's value)
if len(VIEWER.Libs[5])>0: #validate the active object
if VIEWER.Libs[5][ActiveObject][3][0]=="":
VIEWER.Libs[5][ActiveObject][3][0]="_Mesh"
VIEWER.Libs[5][ActiveObject][3][3]=[[],[],[[],[]],[[],[],[],[],[],[],[],[]],[],[]]
VIEWER.Libs[5][ActiveObject][3][3][5]+=[[Name,[]]] #set to "_Mesh" and append a primitive
elif VIEWER.Libs[5][ActiveObject][3][0]=="_Mesh":
VIEWER.Libs[5][ActiveObject][3][3][5]+=[[Name,[]]] #append a primitive
else: #return error
print 'Unable to append Primitive to Object of type: "'+VIEWER.Libs[5][OID][3][0].split('_')[1]+'"\nignoring current data'
else: print 'please define an object'
SetPrimitive.func_defaults=( Name, )
#TODO:
#- index the proper primitive to add facepoints to
#^(I personally havn't seen a format you'd need this option for, but the possibility of it still lies about)
#___________________________________________________________________________________________
#set the active object's type to Mesh and append a valid Vector List to it's data
#(you will recieve an error if used on another Object type)
#(you will also recieve an error if no object is defined)
def SetVerts( List=[] ):
global ActiveObject
if len(VIEWER.Libs[5])>0:
if VIEWER.Libs[5][ActiveObject][3][0]=="":
VIEWER.Libs[5][ActiveObject][3][0]="_Mesh"
VIEWER.Libs[5][ActiveObject][3][3]=[List,[],[[],[]],[[],[],[],[],[],[],[],[]],[],[]]
elif VIEWER.Libs[5][ActiveObject][3][0]=="_Mesh": VIEWER.Libs[5][ActiveObject][3][3][0]=List
else: print 'Unable to append Vert List to Object of type: "'+VIEWER.Libs[5][OID][3][0].split('_')[1]+'"\nignoring current data'
else: print 'please define an object'
def SetNormals( List=[] ):
global ActiveObject
if len(VIEWER.Libs[5])>0:
if VIEWER.Libs[5][ActiveObject][3][0]=="":
VIEWER.Libs[5][ActiveObject][3][0]="_Mesh"
VIEWER.Libs[5][ActiveObject][3][3]=[[],List,[[],[]],[[],[],[],[],[],[],[],[]],[],[]]
elif VIEWER.Libs[5][ActiveObject][3][0]=="_Mesh": VIEWER.Libs[5][ActiveObject][3][3][1]=List
else: print 'Unable to append Normal List to Object of type: "'+VIEWER.Libs[5][OID][3][0].split('_')[1]+'"\nignoring current data'
else: print 'please define an object'
def SetColors( List0=[], List1=[] ):
global ActiveObject
if len(VIEWER.Libs[5])>0:
if VIEWER.Libs[5][ActiveObject][3][0]=="":
VIEWER.Libs[5][ActiveObject][3][0]="_Mesh"
VIEWER.Libs[5][ActiveObject][3][3]=[[],[],[List0,List1],[[],[],[],[],[],[],[],[]],[],[]]
elif VIEWER.Libs[5][ActiveObject][3][0]=="_Mesh": VIEWER.Libs[5][ActiveObject][3][3][2]=[List0,List1]
else: print 'Unable to append Color Lists to Object of type: "'+VIEWER.Libs[5][OID][3][0].split('_')[1]+'"\nignoring current data'
else: print 'please define an object'
def SetUVs( List0=[], List1=[], List2=[], List3=[], List4=[], List5=[], List6=[], List7=[] ):
global ActiveObject
if len(VIEWER.Libs[5])>0:
if VIEWER.Libs[5][ActiveObject][3][0]=="":
VIEWER.Libs[5][ActiveObject][3][0]="_Mesh"
VIEWER.Libs[5][ActiveObject][3][3]=[[],[],[[],[]],[List0,List1,List2,List3,List4,List5,List6,List7],[],[]]
elif VIEWER.Libs[5][ActiveObject][3][0]=="_Mesh": VIEWER.Libs[5][ActiveObject][3][3][0]=[List0,List1,List2,List3,List4,List5,List6,List7]
else: print 'Unable to append UV Lists to Object of type: "'+VIEWER.Libs[5][OID][3][0].split('_')[1]+'"\nignoring current data'
else: print 'please define an object'
#TODO:
#- validate vector lists
#- Validate replacements (don't replace a data with a default unless specified)
#___________________________________________________________________________________________
#Vectors: [ X, Y(, Z) ]
#Colors: [R,G,B,A] int( 0 : 255 ) OR float( 0.0 : 1.0 )
#^be careful not to specify an int when your type is float (for colors)
#^2D Verts and Normals are allowd.
#append a facepoint to the active primitive with the specified vectors
#(colors and uv's in list format are assumed to be single channel, and are read as such)
def SetFacepoint( Vert='', Normal='', Color='', UV='' ):
global ActiveObject
#verify we havn't switched objects to an invalid type before trying to add facepoints:
if VIEWER.Libs[5][ActiveObject][3][0]=="_Mesh": #we can only set the facepoints of an active mesh object
if len(VIEWER.Libs[5][ActiveObject][3][3])>0: #we can't append facepoints to an object with no primitives.
Colors,UVs = VIEWER.Libs[5][ActiveObject][3][3][2],VIEWER.Libs[5][ActiveObject][3][3][3]
def Index(value,List): #returns either a valid index or ''
if type(value)==list: #[X,Y(,Z)] or [I/R(,A/G(,B(,A)))]
try: return List.index(value)
except: List+=[value]; return List.index(value) #vector or color
elif type(value)==int: return value #index (doesn't validate against len(list))
elif type(value)==str: return '' #no vector (validate any string to '')
CIDs = ( (Index(Color[0],Colors[0])
,(Index(Color[1],Colors[1]) if len(Color)==2 else '')
) if type(Color)==tuple else (Index(Color,Colors[0]),'') )
UVIDs = ( (Index(UV[0],UVs[0])
,(Index(UV[1],UVs[1]) if len(UV)>=2 else '')
,(Index(UV[2],UVs[2]) if len(UV)>=3 else '')
,(Index(UV[3],UVs[3]) if len(UV)>=4 else '')
,(Index(UV[4],UVs[4]) if len(UV)>=5 else '')
,(Index(UV[5],UVs[5]) if len(UV)>=6 else '')
,(Index(UV[6],UVs[6]) if len(UV)>=7 else '')
,(Index(UV[7],UVs[7]) if len(UV)==8 else '')
) if type(UV)==tuple else (Index(UV,UVs[0]),'','','','','','','')
)
VIEWER.Libs[5][ActiveObject][3][3][5][-1][1]+=[
[Index(Vert,VIEWER.Libs[5][ActiveObject][3][3][0]),Index(Normal,VIEWER.Libs[5][ActiveObject][3][3][1]),CIDs,UVIDs]
]
else: print 'unable to append to a non-existant primitive'
else:
print 'Unable to append Facepoint to Object of type: "'+VIEWER.Libs[5][OID][3][0].split('_')[1]+'"'
print 'Make sure the active object is a Mesh-type Object before trying to append Facepoints'
#TODO:
#- strict-er inputs (no errors allowed)
#___________________________________________________________________________________________
#this function is used to give a bone weight to the current (existing) vert
def SetWeight( BoneName=0, Weight=1.0, VertID='' ): #VertID is a TODO (should accept both list and int)
global ActiveObject
#verify we havn't switched objects to an invalid type:
if ActiveObject != None:
SD = VIEWER.Libs[5][ActiveObject][3]
if VIEWER.Libs[5][ActiveObject][4] != '':
ParentObject = VIEWER.Libs[5][VIEWER.Libs[5][ActiveObject][4]]
if ParentObject[3][0] == "_Rig": #parent object must be a _Rig object
if type(BoneName) == int: #check for the bone name in the parent _Rig oblect
if BoneName < len(ParentObject[3][3]): #is the index w/in the bone count?
BoneName = ParentObject[3][3][BoneName][0] #must be a string
else: BoneName = 'Bone'+str(BoneName) #must be a string
else: BoneName = 'Bone'+str(BoneName)
else: BoneName = 'Bone'+str(BoneName)
if SD[0]=="_Mesh":
if len(SD[3][5]): #Has Primitives
if len(SD[3][5][-1][1]): #Has facepoints
if len(SD[3][0]): #Has Verts
#WGrps,found,WGid = SD[3][4],0,0
WGrps,found = SD[3][4],0
Vid = SD[3][5][-1][1][-1][0] #vert index from current primitive's current facepoint
if len(WGrps)>0:
'''
while WGid < len(WGrps)-1 or not found: #faster (stops if found or at end)
WGN,WGFs,WGVs = WGrps[WGid]
if WGN == BoneName: #append Vid to an existing weight group
WFid = len(WGFs) #assume the weight is a new weight
try: WFid = WGFs.index(Weight) #try to get a valid weight index
except: VIEWER.Libs[5][ActiveObject][3][3][4][WGid][1]+=[Weight] #append new weight
VIEWER.Libs[5][ActiveObject][3][3][4][WGid][2]+=[[Vid,WFid]]
found = 1
WGid += 1
''' #^???throws an indexing error...???
for WGid,WG in enumerate(WGrps):
WGN,WGFs,WGVs = WG
if WGN == BoneName: #append Vid to an existing weight group
WFid = len(WGFs) #assume the weight is a new weight
try: WFid = WGFs.index(Weight) #try to get a valid weight index
except: VIEWER.Libs[5][ActiveObject][3][3][4][WGid][1].append(Weight) #append new weight
VIEWER.Libs[5][ActiveObject][3][3][4][WGid][2].append([Vid,WFid])
found = 1
#'''
if not found: #append Vid to a new weight group
VIEWER.Libs[5][ActiveObject][3][3][4]+=[[BoneName,[Weight],[[Vid,0]]]]
#check get the vert index and append it to the specified weight
#VIEWER.Libs[5][ActiveObject][3][3][-1][-1][4].append([Weight,Bones])
#TODO:
#- use VID to index a specific vert. (some model formats may force you to use this)
#(currently indexing the last used vert (OpenGL-style))
#___________________________________________________________________________________________
#return the mesh-objects from either the specified scene, or from the object library
def GetMeshObjects(Scene=''):
def Sort(List):
L=[]
for ID,Object in enumerate(List):
if type(Object)==int:
if VIEWER.Libs[5][Object][3][0]=="_Mesh": L+=[Object]
else:
if Object[3][0]=="_Mesh": L+=[ID]
return L
if type(Scene)==str:
if Scene=='': return Sort(VIEWER.Libs[5])
else: return Sort(VIEWER.Libs[4][VIEWER.Libs[4].index(Scene)][1])
elif type(Scene)==int: return Sort(VIEWER.Libs[4][Scene][1])
#TODO: better error handling on SceneLib.index(Scene) and SceneLib[Scene]
#___________________________________________________________________________________________
def GetObjectName(Object=0):
if type(Object)==int: return VIEWER.Libs[5][Object][0]
#___________________________________________________________________________________________
def GetVerts(Object=''):
if type(Object)==int: return VIEWER.Libs[5][Object][3][3][0]
elif type(Object)==str: VIEWER.Libs[5][__GetOID(Object)][3][3][0]
#___________________________________________________________________________________________
def GetNormals(Object=''):
if type(Object)==int: return VIEWER.Libs[5][Object][3][3][1]
elif type(Object)==str: VIEWER.Libs[5][__GetOID(Object)][3][3][1]
#___________________________________________________________________________________________
def GetColors(Object='',Channel=0):
if type(Object)==int: return VIEWER.Libs[5][Object][3][3][2][Channel]
elif type(Object)==str: VIEWER.Libs[5][__GetOID(Object)][3][3][2][Channel]
#___________________________________________________________________________________________
def GetUVs(Object='',Channel=0):
if type(Object)==int: return VIEWER.Libs[5][Object][3][3][3][Channel]
elif type(Object)==str: VIEWER.Libs[5][__GetOID(Object)][3][3][3][Channel]
#___________________________________________________________________________________________
def GetPrimitives(Object=''):
if type(Object)==int: return VIEWER.Libs[5][Object][3][3][5]
elif type(Object)==str: VIEWER.Libs[5][__GetOID(Object)][3][3][5]
#___________________________________________________________________________________________
def AsTriangles( PrimitivesList, Option=0 ):
global UMC_POINTS,UMC_LINES,UMC_LINESTRIP,UMC_LINELOOP,UMC_TRIANGLES,UMC_TRIANGLESTRIP,UMC_TRIANGLEFAN,UMC_QUADS,UMC_QUADSTRIP,UMC_POLYGON
Triangles,Quads = [],[] #NOTE: "Quads" is only for single primitive conversion
for PID,PFPs in PrimitivesList:
index = 0;Tris = [3,[]]
if PID==UMC_POINTS:
if Option==(1 or 3): pass #primitive is not Tri/Quad
else: Triangles+=[[PID,PFPs]]
if PID==UMC_LINES:
if Option==(1 or 3): pass #primitive is not Tri/Quad
else: Triangles+=[[PID,PFPs]]
if PID==UMC_LINESTRIP:
if Option==(1 or 3): pass #primitive is not Tri/Quad
else: Triangles+=[[PID,PFPs]]
if PID==UMC_LINELOOP:
if Option==(1 or 3): pass #primitive is not Tri/Quad
else: Triangles+=[[PID,PFPs]]
if PID==UMC_TRIANGLES:
if Option==(1 or 3): Triangles+=PFPs #single primitive
else: Triangles+=[[PID,PFPs]]
if PID==UMC_TRIANGLESTRIP:
while index != len(PFPs)-2:
T=PFPs[index:index+3]
if T[0] != T[1] and T[0] != T[2] and T[1] != T[2]: Tris[1]+=(list(reversed(T)) if index%2 else T)
index += 1
if Option==(1 or 3): Triangles+=Tris[1] #single primitive
else: Triangles+=[Tris]
if PID==UMC_TRIANGLEFAN:
P=[PFPs[index]]
while index != len(PFPs)-2:
T=P+[PFPs[index+1],PFPs[index+2]]
if T[0] != T[1] and T[0] != T[2] and T[1] != T[2]: Tris[1]+=(list(reversed(T)) if index%2 else T)
index += 1
if Option==(1 or 3): Triangles+=Tris[1] #single primitive
else: TrianglesList+=[Tris]
if PID==UMC_QUADS:
while index != len(PFPs):
Q=[PFPs[index],PFPs[index+1],PFPs[index+2],PFPs[index+3]]
Tris[1]+=[Q[0],Q[1],Q[2],Q[1],Q[2],Q[3]] #TODO: face flipping
index += 4
if Option==0: Triangles+=[Tris]
if Option==1: Triangles+=Tris[1]
if Option==2: Triangles+=[[PID,PFPs]]
if Option==3: Quads+=PFPs
if PID==UMC_QUADSTRIP: #quad-strips
Qds=[]
pass #unknown handling atm (TODO)
if PID==UMC_POLYGON: #Polygons
pass #unknown handling atm (TODO)
if Option==0: return Triangles#................multiple triangle primitives
if Option==1: return [[3,Triangles]]#..........single triangle primitive
if Option==2: return Triangles#................multiple triangle and quad primitives
if Option==3: return [[3,Triangles],[6,Quads]]#single triangle and quad primitive
'''
def convertFromTriangles( TrianglesList ):
P=ConvertToTriangles(TrianglesList,1) #only works for single tris atm
'''
"""
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#1
#v 0.001
#I don't have a TOC here yet as everything constantly changes
import COMMON #file vars and functions for import/export processing
import VIEWER #mainly for the toggles
from VIEWER import __GL,__GLU #GL functions
from VIEWER import __pyg
'''
from COMMON import Scripts
#Shapes (private)
#Widgets (private)
def Button(Text,X,Y,W,H,): pass
def Browser():
import os
Dir='C:/'; done=0
clicked = 0
while not done:
items = os.listdir(Dir)
cancel = Button('Cancel')
if not cancel:
if Button('..'):
Dir
else: #need a better RT method >_>
#TODO: parse the list and collect info first
for item in items:
if Button(item): #draw Clicked button
clicked=1
else: #draw unclicked button
if clicked: #action
clicked=0
if os.path.isdir(Dir+item):
Dir+=(item+'/')
else:
done=1
return Dir+item
else:
pass
else:
done=1
return None
'''
#the GL selection/feedback buffers are a bit complicated for me,
#so I've defined my own method derived from GL. (should be slightly faster than re-defining everything)
#this method compaires the hitdefs with the current selection and changes the state of a valid hit
W_States = {} #this stores the mouse state for the current widget
#further state processing can be done by the widget itself.
# { name: [L,M,R,O] } #O - mouseOver
W_Info = {} #this stores the state info of each widget
#this determines weather a toggle is active, or a selection has yet to be made
__UpdateHits=True #allow for hit updates
W_HitDefs = {} #this stores the hit-area for each widget
#this is constantly cleared and updated during state changes
# { name: [X1,Y1,X2,Y2] }
pw,ph = 1.0/800,1.0/600
#-----------------------------------
#I/O process functions
def __ImportModel():
pass
def __ExportModel():
pass
def __ImportAnim():
pass
def __ExportAnim():
pass
def __Browser(Scripts): #overlays GUI when activated (Clears hit-defs to avoid improper activation)
#return file_path, Module
pass
#-----------------------------------
#widget resources
FontSize=0
def __font(x,y,size,text,color=(0,0,0,255)):
global pw,ph,FontSize
#__GL.glEnable(__GL.GL_TEXTURE_2D)
#Create Font
#to increase performance, only create a new font when changing the size
if size != FontSize: F=__pyg.font.Font('fonts/tahoma.ttf',size) #don't use .fon files
w,h=F.size(text)
#_w,_h=1,1 #GL-modified width/height (binary multiple)
#while _w<w: _w<<=1
#while _h<h: _h<<=1
#fsurf=__pyg.Surface((w,h),__pyg.SRCALPHA)
#fsurf.blit(__pyg.transform.flip(F.render(text,True,color), False, True),(0,0)) #Create GL-Font Image
#w,h=fsurf.get_size()
image=__pyg.transform.flip(F.render(text,True,color), False, True).get_buffer().raw #get raw pixel data
# Create Texture __GL.glGenTextures(1)
'''__GL.glBindTexture(__GL.GL_TEXTURE_2D, 0) # 2d texture (x and y size)
__GL.glPixelStorei(__GL.GL_UNPACK_ALIGNMENT,1)
__GL.glTexImage2D(__GL.GL_TEXTURE_2D, 0, 3, _w, _h, 0, __GL.GL_BGRA, __GL.GL_UNSIGNED_BYTE, image)
__GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_WRAP_S, __GL.GL_CLAMP)
__GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_WRAP_T, __GL.GL_CLAMP)
__GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_WRAP_S, __GL.GL_REPEAT)
__GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_WRAP_T, __GL.GL_REPEAT)
__GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_MAG_FILTER, __GL.GL_NEAREST)
__GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_MIN_FILTER, __GL.GL_NEAREST)
__GL.glTexEnvf(__GL.GL_TEXTURE_ENV, __GL.GL_TEXTURE_ENV_MODE, __GL.GL_DECAL)
w*=pw; h*=ph
__GL.glBegin(__GL.GL_QUADS)
__GL.glColor4f(0.0,0.0,0.0,color[3]*(1.0/255))
__GL.glVertex2f(x,y); __GL.glTexCoord2f(0.0,0.0)
__GL.glVertex2f(x+w,y); __GL.glTexCoord2f(1.0,0.0)
__GL.glVertex2f(x+w,y+h); __GL.glTexCoord2f(1.0,1.0)
__GL.glVertex2f(x,y+h); __GL.glTexCoord2f(0.0,1.0)
__GL.glEnd()'''
__GL.glRasterPos2f(float(x)*pw if type(x)==int else x ,
float(y+h)*ph if type(y)==int else y+(h*ph) )
__GL.glDrawPixels(w,h,__GL.GL_BGRA,__GL.GL_UNSIGNED_BYTE,image)
del(image) #remove the old buffer
#__GL.glDisable(__GL.GL_TEXTURE_2D)
#-----------------------------------
#internal widgets (bound to change)
def __DropBox(X,Y,W,Na,Items,Def=0,Text=''):
global W_States,W_Info,W_HitDefs,__UpdateHits
global pw,ph
X2,Y2 = X+(pw*(W*10)),Y+(ph*20)
#Widget init info
try: W_States[Na]
except KeyError:
W_States.update({Na:[0,0,0,False]})
W_Info.update({Na:[Def,False]})
if __UpdateHits: W_HitDefs.update({Na:[X,Y,X2+(pw*15),Y2]})
#Widget logic
L,M,R,O = W_States[Na]
if L==2:
W_Info[Na][1]=True
W_States[Na][0]=0
State = W_Info[Na]
__GL.glBegin(__GL.GL_QUADS)
__GL.glColor4f(1.0,1.0,1.0,0.25)
__GL.glVertex2f(X,Y)
__GL.glVertex2f(X2,Y)
__GL.glVertex2f(X2,Y2)
__GL.glVertex2f(X,Y2)
__GL.glColor4f(0.0,0.0,0.0,0.1)
__GL.glVertex2f(X2,Y)
__GL.glVertex2f(X2+(pw*15),Y)
__GL.glVertex2f(X2+(pw*15),Y2)
__GL.glVertex2f(X2,Y2)
__GL.glEnd()
__font(X+(5*pw),Y+(2*ph),12,Na,(0,0,0,100))
if State[1]:
W_HitDefs={}
__UpdateHits=False #prevent hit updates from other widgets
#once we've made our selection, we can then allow hit updates
remove=False
for i,v in enumerate(Items):
#we have to create custom widget defs for each entry here
N = '%s_%s_Sel%i'%(Na,v,i) #Na+v+'_Sel'+str(i)
x1,y1,x2,y2=X,Y+((Y2-Y)*(i+1)),X2,Y2+((Y2-Y)*(i+1))
try: W_States[N]
except KeyError: W_States.update({N:[0,0,0,False]}) #mouse updates
W_HitDefs.update({N:[x1,y1,x2,y2]})
#these should be the only hits avaliable
l,m,r,o = W_States[N]
#all we need to worry about here, is the state, and the hit-def
if o: __GL.glColor4f(0.375,0.375,0.375,0.75)
else: __GL.glColor4f(0.0,0.0,0.0,0.5)
__GL.glBegin(__GL.GL_QUADS)
__GL.glVertex2f(x1,y1)
__GL.glVertex2f(x2,y1)
__GL.glVertex2f(x2,y2)
__GL.glVertex2f(x1,y2)
__GL.glEnd()
__font(x1+(5*pw),y1+(2*ph),12,v,(200,200,200,100))
if l==2:
W_Info[Na]=[i,False] #State should not be an index
remove=True
if remove:
for i,v in enumerate(Items): #clear the buffers of these widgets
n = '%s_%s_Sel%i'%(Na,v,i)
W_States.pop(n)
W_HitDefs.pop(n)
__UpdateHits=True
return State[0]
def __TButton(X,Y,Na,St=False,Text=''):
global W_States,W_Info,W_HitDefs,__UpdateHits
global pw,ph
#Widget init info
try: W_States[Na]
except KeyError:
W_States.update({Na:[0,0,0,False]})
W_Info.update({Na:St})
if __UpdateHits: W_HitDefs.update({Na:[X,Y,X+(pw*20),Y+(ph*20)]})
#Widget logic
L,M,R,O = W_States[Na]
if L==2:
W_Info[Na]=(False if W_Info[Na] else True)
W_States[Na][0]=0
State = W_Info[Na]
if State: __GL.glColor4f(0.0,0.0,0.0,0.25)
else: __GL.glColor4f(0.0,0.0,0.0,0.1)
__GL.glBegin(__GL.GL_QUADS)
__GL.glVertex2f(X,Y)
__GL.glVertex2f(X+(pw*20),Y)
__GL.glVertex2f(X+(pw*20),Y+(ph*20))
__GL.glVertex2f(X,Y+(ph*20))
__GL.glEnd()
__font(X+(25*pw),Y+(2*ph),12,Text,(0,0,0,100))
return State
def __Button(X1,Y1,X2,Y2,Na,Text=''):
global pw,ph
def __BrowseBar(X1,Y1,W):
global pw,ph
#-----------------------------------
#panel drawing functions
def __ModelPanel():
global pw,ph
__BrowseBar(pw*10,ph*40,180)
def __AnimPanel():
global pw,ph
pass
def __DisplayPanel(X1,X2):
global pw,ph
VIEWER.TOGGLE_LIGHTING = __TButton(pw*(X1+11),ph*31,'EnLight',True,'Lighting')
VIEWER.TOGGLE_WIREFRAME = __TButton(pw*(X1+11),ph*56,'EnWire',False,'Wireframe')
VIEWER.TOGGLE_BONES = __DropBox(pw*(X1+11),ph*81,10,'Draw Bones',['None','Standard','Overlay (X-Ray)'],0)
#reversed drawing order here so fonts overlay properly
if VIEWER.TOGGLE_3D==2: VIEWER.TOGGLE_3D_MODE[1] = [1./60,1./120][__DropBox(pw*(X1+251),ph*81,5,'Freq (WIP)',['60hz','120hz'],0)]
if VIEWER.TOGGLE_3D==1: VIEWER.TOGGLE_3D_MODE[0] = __DropBox(pw*(X1+251),ph*81,5,'Colors',['R|GB','G|RB','B|RG'],0)
VIEWER.TOGGLE_3D = __DropBox(pw*(X1+131),ph*81,10,'3D Drawing',['Off','Analglyph','Shutter'],0)
VIEWER.TOGGLE_ORTHO = __DropBox(pw*(X1+131),ph*56,10,'Projection',['Perspective','Orthographic'],1)
VIEWER.TOGGLE_GRID = [2 if VIEWER.TOGGLE_GRID>2 else VIEWER.TOGGLE_GRID,3,4][
__DropBox(pw*(X1+131),ph*31,10,'Display',['Grid','Floor','Off'],0)]
#'''
def __ControlPanel(X1,X2):
global pw,ph
pass
#-----------------------------------
def __ExPanel(X1,Y1,X2,Y2,EB,Na,MX=0,MY=0,St=True): #returns current state for other panels
global W_States,W_Info,W_HitDefs,__UpdateHits
global pw,ph
#Widget init info
try: W_States[Na]
except KeyError:
W_States.update({Na:[0,0,0,False]})
W_Info.update({Na:St})
#Widget logic
L,M,R,O = W_States[Na]
if L==2:
W_Info[Na]=(False if W_Info[Na] else True)
W_States[Na][0]=0
State = W_Info[Na]
if State:
__GL.glBegin(__GL.GL_QUADS)
__GL.glColor4f(0.5,0.5,0.5,0.8) #model (left) panel
__GL.glVertex2f(X1,Y1)
__GL.glVertex2f(X1,Y2)
__GL.glVertex2f(X2,Y2)
__GL.glVertex2f(X2,Y1)
__GL.glEnd()
#60x15px rectangle
if EB==0: #top
EBX1,EBY1,EBX2,EBY2=(X1+((X2-X1)/2)-(pw*30)),Y1,(X1+((X2-X1)/2)+(pw*30)),Y1+(ph*15)
TPX1,TPY1 = EBX1+(pw*25),EBY1+(ph*5)
TPX2,TPY2 = EBX1+(pw*30),EBY1+(ph*10)
TPX3,TPY3 = EBX1+(pw*35),EBY1+(ph*5)
elif EB==1: #right
EBX1,EBY1,EBX2,EBY2=X2-(pw*15),((Y2-Y1)/2)-(ph*30),X2,((Y2-Y1)/2)+(ph*30)
TPX1,TPY1 = EBX1+(pw*10),EBY1+(ph*25)
TPX2,TPY2 = EBX1+(pw*5),EBY1+(ph*30)
TPX3,TPY3 = EBX1+(pw*10),EBY1+(ph*35)
elif EB==2: #bottom
EBX1,EBY1,EBX2,EBY2=(X1+((X2-X1)/2)-(pw*30)),Y2-(ph*15),(X1+((X2-X1)/2)+(pw*30)),Y2
TPX1,TPY1 = EBX1+(pw*25),EBY1+(ph*10)
TPX2,TPY2 = EBX1+(pw*30),EBY1+(ph*5)
TPX3,TPY3 = EBX1+(pw*35),EBY1+(ph*10)
elif EB==3: #left
EBX1,EBY1,EBX2,EBY2=X1,((Y2-Y1)/2)-(ph*30),X1+(pw*15),((Y2-Y1)/2)+(ph*30)
TPX1,TPY1 = EBX1+(pw*5),EBY1+(ph*25)
TPX2,TPY2 = EBX1+(pw*10),EBY1+(ph*30)
TPX3,TPY3 = EBX1+(pw*5),EBY1+(ph*35)
#is the panel expanded?
if not State:
if EB==0: #top
Eq=((Y2-Y1)-(ph*15))
EBY1,EBY2=EBY1+Eq,EBY2+Eq
TPY1,TPY2,TPY3=TPY1+(Eq+(ph*5)),TPY2+(Eq-(ph*5)),TPY3+(Eq+(ph*5))
elif EB==1: #right
Eq=((X2-X1)-(pw*15))
EBX1,EBX2=EBX1-Eq,EBX2-Eq
TPX1,TPX2,TPX3=TPX1-(Eq+(pw*5)),TPX2-(Eq-(pw*5)),TPX3-(Eq+(pw*5))
elif EB==2: #bottom
Eq=((Y2-Y1)-(ph*15))
EBY1,EBY2=EBY1-Eq,EBY2-Eq
TPY1,TPY2,TPY3=TPY1-(Eq+(ph*5)),TPY2-(Eq-(ph*5)),TPY3-(Eq+(ph*5))
elif EB==3: #left
Eq=((X2-X1)-(pw*15))
EBX1,EBX2=EBX1+Eq,EBX2+Eq
TPX1,TPX2,TPX3=TPX1+(Eq+(pw*5)),TPX2+(Eq-(pw*5)),TPX3+(Eq+(pw*5))
__GL.glColor4f(0.5,0.5,0.5,0.8)
__GL.glBegin(__GL.GL_QUADS) #(just the BG color behind the toggle button)
__GL.glVertex2f(EBX1+MX,EBY1+MY)
__GL.glVertex2f(EBX1+MX,EBY2+MY)
__GL.glVertex2f(EBX2+MX,EBY2+MY)
__GL.glVertex2f(EBX2+MX,EBY1+MY)
__GL.glEnd()
if __UpdateHits: W_HitDefs.update({Na:[EBX1+MX,EBY1+MY,EBX2+MX,EBY2+MY]})
__GL.glColor4f(0.0,0.0,0.0,0.2)
__GL.glBegin(__GL.GL_QUADS)
__GL.glVertex2f(EBX1+MX,EBY1+MY)
__GL.glVertex2f(EBX1+MX,EBY2+MY)
__GL.glVertex2f(EBX2+MX,EBY2+MY)
__GL.glVertex2f(EBX2+MX,EBY1+MY)
__GL.glEnd()
__GL.glBegin(__GL.GL_TRIANGLES)
__GL.glVertex2f(TPX1+MX,TPY1+MY)
__GL.glVertex2f(TPX2+MX,TPY2+MY)
__GL.glVertex2f(TPX3+MX,TPY3+MY)
__GL.glEnd()
return State
def __DrawGUI(w,h,RotMatrix): #called directly by the display function after drawing the scene
global pw,ph
#the GUI is drawn over the scene by clearing the depth buffer
pw,ph=1./w,1./h
global W_HitDefs
W_HitDefs = {} #clear the hitdefs to avoid improper activation
__GL.glMatrixMode(__GL.GL_PROJECTION)
__GL.glLoadIdentity()
#glOrtho(-2*P, 2*P, -2, 2, -100, 100)
__GLU.gluOrtho2D(0.0, 1.0, 1.0, 0.0) #TODO update the viewport with the pixel range instead of 1.0 (less GUI calculations will be needed)
__GL.glMatrixMode(__GL.GL_MODELVIEW)
__GL.glClear( __GL.GL_DEPTH_BUFFER_BIT )
__GL.glPolygonMode(__GL.GL_FRONT_AND_BACK,__GL.GL_FILL)
__GL.glLoadIdentity()
__GL.glEnable(__GL.GL_BLEND)
__GL.glDisable(__GL.GL_DEPTH_TEST)
__GL.glDisable(__GL.GL_TEXTURE_2D)
__GL.glDisable(__GL.GL_LIGHTING)
__GL.glBegin(__GL.GL_QUADS)
__GL.glColor4f(0.4,0.4,0.4,0.8) #options toggle
__GL.glVertex2f(pw*0,ph*0)
__GL.glVertex2f(pw*w,ph*0)
__GL.glVertex2f(pw*w,ph*20)
__GL.glVertex2f(pw*0,ph*20)
__GL.glEnd()
__GL.glColor4f(0.0,0.0,0.0,0.2)
__GL.glBegin(__GL.GL_TRIANGLES)
__GL.glVertex2f(pw*((w/2)-10),ph*6)
__GL.glVertex2f(pw*((w/2)+10),ph*6)
__GL.glVertex2f(pw*(w/2),ph*15)
__GL.glEnd()
M = __ExPanel(pw*0,ph*21,pw*210,ph*h,1,'MODEL')
if M: __ModelPanel()
A = __ExPanel(pw*(w-210),ph*21,pw*w,ph*h,3,'ANIM')
if A: __AnimPanel()
D = __ExPanel(pw*(211 if M else 1),ph*21,pw*(w-(211 if A else 1)),ph*150,2,'DSPL',(0 if M else pw*105)+(0 if A else pw*-105))
if D: __DisplayPanel(210 if M else 0,-210 if A else 0)
C = __ExPanel(pw*(211 if M else 1),ph*(h-150),pw*(w-(211 if A else 1)),ph*h,0,'CTRL',(0 if M else pw*105)+(0 if A else pw*-105))
if C: __ControlPanel(210 if M else 0,-210 if A else 0)
#__font(40,40,14,"testing",(128,0,0,100))
__GL.glDisable(__GL.GL_BLEND)
__GL.glEnable(__GL.GL_DEPTH_TEST)
#axis
__GL.glLineWidth(1.0)
__GL.glPushMatrix()
__GL.glTranslatef(pw*(228 if M else 17),ph*(h-(167 if C else 17)),0)
__GL.glScalef(pw*600,ph*600,1)
__GL.glMultMatrixf(RotMatrix)
__GL.glColor3f(1.0,0.0,0.0)
__GL.glBegin(__GL.GL_LINES); __GL.glVertex3f(0.0,0.0,0.0); __GL.glVertex3f(0.02,0.0,0.0); __GL.glEnd() #X
__GL.glTranslatef(0.0145,0.0,0.0); __GL.glRotatef(90, 0.0, 1.0, 0.0)
#__GLUT.glutSolidCone(0.003, 0.011, 8, 1)
__GL.glRotatef(-90, 0.0, 1.0, 0.0); __GL.glTranslatef(-0.0145,0.0,0.0)
__GL.glColor3f(0.0,1.0,0.0)
__GL.glBegin(__GL.GL_LINES); __GL.glVertex3f(0.0,0.0,0.0); __GL.glVertex3f(0.0,-0.02,0.0); __GL.glEnd() #Y
__GL.glTranslatef(0.0,-0.0145,0.0); __GL.glRotatef(90, 1.0, 0.0, 0.0)
#__GLUT.glutSolidCone(0.003, 0.011, 8, 1)
__GL.glRotatef(-90, 1.0, 0.0, 0.0); __GL.glTranslatef(0.0,0.0145,0.0)
__GL.glColor3f(0.0,0.0,1.0)
__GL.glBegin(__GL.GL_LINES); __GL.glVertex3f(0.0,0.0,0.0); __GL.glVertex3f(0.0,0.0,0.02); __GL.glEnd() #Z
__GL.glTranslatef(0.0,0.0,0.0145)
#__GLUT.glutSolidCone(0.003, 0.011, 8, 1)
__GL.glTranslatef(0.0,0.0,-0.0145)
__GL.glColor3f(0.5,0.5,0.5) ; #__GLUT.glutSolidSphere(0.003, 8, 4)
__GL.glPopMatrix()
lastHit = [0,False] #last hit record to be compaired with current hit record [ button, state ]
def __CheckHit(b,x,y,s): #checks if the hit (click) executes a command
L,M,R,U,D=range(1,6)
for name in W_HitDefs: #we currently want to concentrait on if we have a hit (o is not handled here)
X1,Y1,X2,Y2 = W_HitDefs[name] #Hit Area
l,m,r,o = W_States[name] #we only want the release states to last 1 frame
if X1<x<X2 and Y1<y<Y2: #are we in the hit area of this widget?
#if we have our hit, then we can updte the name state of our hit
if b==L:
if s: W_States[name][0]=1 #we have clicked
else: W_States[name][0]=2 #we have released
if b==M:
if s: W_States[name][1]=1 #we have clicked
else: W_States[name][1]=2 #we have released
if b==R:
if s: W_States[name][2]=1 #we have clicked
else: W_States[name][2]=2 #we have released
else: #do we have any states to clean up?
#this would happen if we click a widget, then move out of it's area
if l==1: W_States[name][0]=0
if m==1: W_States[name][1]=0
if r==1: W_States[name][2]=0
#release states are to be taken care of by the widget.
def __CheckPos(x,y): #checks the new mouse position when moved
import sys
for name in W_HitDefs: #we want to concentrait on if we're over a hit area
X1,Y1,X2,Y2 = W_HitDefs[name] #Hit Area
#are we in the hit area of this widget?
if X1<x<X2 and Y1<y<Y2: W_States[name][3]=True
else: W_States[name][3]=False
def __initGUI():
__pyg.font.init() | {
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"path": "dev tests and files/data (scrapped dev5 attempt)/GUI_update.py",
"copies": "1",
"size": "17612",
"license": "mit",
"hash": -5439508331457262000,
"line_mean": 32.7413793103,
"line_max": 142,
"alpha_frac": 0.5642743584,
"autogenerated": false,
"ratio": 2.5113360901183515,
"config_test": false,
"has_no_keywords": false,
"few_assignments": false,
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#1
#v 0.001
import COMMON #file vars and functions for import/export processing
import VIEWER #mainly for the toggles
from VIEWER import __GL,__GLU#,__GLUT #GL functions
'''
from COMMON import Scripts
#Shapes (private)
#Widgets (private)
def Button(Text,X,Y,W,H,): pass
def Browser():
import os
Dir='C:/'; done=0
clicked = 0
while not done:
items = os.listdir(Dir)
cancel = Button('Cancel')
if not cancel:
if Button('..'):
Dir
else: #need a better RT method >_>
#TODO: parse the list and collect info first
for item in items:
if Button(item): #draw Clicked button
clicked=1
else: #draw unclicked button
if clicked: #action
clicked=0
if os.path.isdir(Dir+item):
Dir+=(item+'/')
else:
done=1
return Dir+item
else:
pass
else:
done=1
return None
'''
#the GL selection/feedback buffers are a bit complicated for me,
#so I'm defining my own method derived from GL. (should be faster)
#GL wanted me to redraw everything during the selection and then after the selection...
#my method compaires the hitdefs with the current selection and changes the state of a valid hit
W_HitDefs = {} #this stores the hit-area for each widget (constantly updated during state changes)
W_States = {} #this stores the state of each widget
W_Types = {} #this stores the type of each widget (proper hit-logic handling depends on type)
pw,ph = 800,600
def __ImportModel(fpath, filterID): #Model import process
pass
def __ExportModel(fpath, filterID): #Model export process
pass
def __ImportAnim(fpath, filterID): #Anim import process
pass
def __ExportAnim(fpath, filterID): #Anim export process
pass
def __TButton(X,Y,Na,St=False,Text=''):
global pw,ph
try: State = W_States[Na]
except KeyError:
State = St
W_States.update({Na:St})
W_Types.update({Na:'toggle'})
W_HitDefs.update({Na:[X,Y,X+(pw*20),Y+(ph*20)]})
if State: __GL.glColor4f(0.0,0.0,0.0,0.25)
else: __GL.glColor4f(0.0,0.0,0.0,0.1)
__GL.glBegin(__GL.GL_QUADS)
__GL.glVertex2f(X,Y)
__GL.glVertex2f(X+(pw*20),Y)
__GL.glVertex2f(X+(pw*20),Y+(ph*20))
__GL.glVertex2f(X,Y+(ph*20))
__GL.glEnd()
return State
def __Button(X1,Y1,X2,Y2,Na,Text=''):
global pw,ph
pass
def __Browser(): #overlays GUI when activated (Clears hit-defs to avoid improper activation)
#return file_path, filter_index
pass
def __BrowseBar(X1,Y1,W):
global pw,ph
pass
def __ExPanel(X1,Y1,X2,Y2,EB,Na,MX=0,MY=0,St=True): #returns current state for other widgets
global pw,ph
try: State = W_States[Na]
except KeyError:
State = St
W_States.update({Na:St})
W_Types.update({Na:'toggle'})
if State:
__GL.glBegin(__GL.GL_QUADS)
__GL.glColor4f(0.5,0.5,0.5,0.8) #model (left) panel
__GL.glVertex2f(X1,Y1)
__GL.glVertex2f(X1,Y2)
__GL.glVertex2f(X2,Y2)
__GL.glVertex2f(X2,Y1)
__GL.glEnd()
#60x15px rectangle
if EB==0: #top
EBX1,EBY1,EBX2,EBY2=(X1+((X2-X1)/2)-(pw*30)),Y1,(X1+((X2-X1)/2)+(pw*30)),Y1+(ph*15)
TPX1,TPY1 = EBX1+(pw*25),EBY1+(ph*5)
TPX2,TPY2 = EBX1+(pw*30),EBY1+(ph*10)
TPX3,TPY3 = EBX1+(pw*35),EBY1+(ph*5)
elif EB==1: #right
EBX1,EBY1,EBX2,EBY2=X2-(pw*15),((Y2-Y1)/2)-(ph*30),X2,((Y2-Y1)/2)+(ph*30)
TPX1,TPY1 = EBX1+(pw*10),EBY1+(ph*25)
TPX2,TPY2 = EBX1+(pw*5),EBY1+(ph*30)
TPX3,TPY3 = EBX1+(pw*10),EBY1+(ph*35)
elif EB==2: #bottom
EBX1,EBY1,EBX2,EBY2=(X1+((X2-X1)/2)-(pw*30)),Y2-(ph*15),(X1+((X2-X1)/2)+(pw*30)),Y2
TPX1,TPY1 = EBX1+(pw*25),EBY1+(ph*10)
TPX2,TPY2 = EBX1+(pw*30),EBY1+(ph*5)
TPX3,TPY3 = EBX1+(pw*35),EBY1+(ph*10)
elif EB==3: #left
EBX1,EBY1,EBX2,EBY2=X1,((Y2-Y1)/2)-(ph*30),X1+(pw*15),((Y2-Y1)/2)+(ph*30)
TPX1,TPY1 = EBX1+(pw*5),EBY1+(ph*25)
TPX2,TPY2 = EBX1+(pw*10),EBY1+(ph*30)
TPX3,TPY3 = EBX1+(pw*5),EBY1+(ph*35)
#is the panel expanded?
if not State:
if EB==0: #top
Eq=((Y2-Y1)-(ph*15))
EBY1,EBY2=EBY1+Eq,EBY2+Eq
TPY1,TPY2,TPY3=TPY1+(Eq+(ph*5)),TPY2+(Eq-(ph*5)),TPY3+(Eq+(ph*5))
elif EB==1: #right
Eq=((X2-X1)-(pw*15))
EBX1,EBX2=EBX1-Eq,EBX2-Eq
TPX1,TPX2,TPX3=TPX1-(Eq+(pw*5)),TPX2-(Eq-(pw*5)),TPX3-(Eq+(pw*5))
elif EB==2: #bottom
Eq=((Y2-Y1)-(ph*15))
EBY1,EBY2=EBY1-Eq,EBY2-Eq
TPY1,TPY2,TPY3=TPY1-(Eq+(ph*5)),TPY2-(Eq-(ph*5)),TPY3-(Eq+(ph*5))
elif EB==3: #left
Eq=((X2-X1)-(pw*15))
EBX1,EBX2=EBX1+Eq,EBX2+Eq
TPX1,TPX2,TPX3=TPX1+(Eq+(pw*5)),TPX2+(Eq-(pw*5)),TPX3+(Eq+(pw*5))
__GL.glColor4f(0.5,0.5,0.5,0.8)
__GL.glBegin(__GL.GL_QUADS) #(just the BG color behind the toggle button)
__GL.glVertex2f(EBX1+MX,EBY1+MY)
__GL.glVertex2f(EBX1+MX,EBY2+MY)
__GL.glVertex2f(EBX2+MX,EBY2+MY)
__GL.glVertex2f(EBX2+MX,EBY1+MY)
__GL.glEnd()
W_HitDefs.update({Na:[EBX1+MX,EBY1+MY,EBX2+MX,EBY2+MY]})
__GL.glColor4f(0.0,0.0,0.0,0.2)
__GL.glBegin(__GL.GL_QUADS)
__GL.glVertex2f(EBX1+MX,EBY1+MY)
__GL.glVertex2f(EBX1+MX,EBY2+MY)
__GL.glVertex2f(EBX2+MX,EBY2+MY)
__GL.glVertex2f(EBX2+MX,EBY1+MY)
__GL.glEnd()
__GL.glBegin(__GL.GL_TRIANGLES)
__GL.glVertex2f(TPX1+MX,TPY1+MY)
__GL.glVertex2f(TPX2+MX,TPY2+MY)
__GL.glVertex2f(TPX3+MX,TPY3+MY)
__GL.glEnd()
return State
ORTHO = True
def __DrawGUI(w,h,RotMatrix): #called directly by the display function after drawing the scene
global pw,ph
#the GUI is drawn over the scene by clearing the depth buffer
pw,ph=1./w,1./h
global W_HitDefs
W_HitDefs = {} #clear the hitdefs to avoid improper activation
__GL.glMatrixMode(__GL.GL_PROJECTION)
__GL.glLoadIdentity()
#glOrtho(-2*P, 2*P, -2, 2, -100, 100)
__GLU.gluOrtho2D(0.0, 1.0, 1.0, 0.0)
__GL.glMatrixMode(__GL.GL_MODELVIEW)
__GL.glClear( __GL.GL_DEPTH_BUFFER_BIT )
__GL.glPolygonMode(__GL.GL_FRONT_AND_BACK,__GL.GL_FILL)
__GL.glLoadIdentity()
__GL.glEnable(__GL.GL_BLEND)
__GL.glDisable(__GL.GL_DEPTH_TEST)
__GL.glDisable(__GL.GL_LIGHTING)
__GL.glBegin(__GL.GL_QUADS)
__GL.glColor4f(0.4,0.4,0.4,0.8) #options toggle
__GL.glVertex2f(pw*0,ph*0)
__GL.glVertex2f(pw*w,ph*0)
__GL.glVertex2f(pw*w,ph*20)
__GL.glVertex2f(pw*0,ph*20)
__GL.glEnd()
__GL.glColor4f(0.0,0.0,0.0,0.2)
__GL.glBegin(__GL.GL_TRIANGLES)
__GL.glVertex2f(pw*((w/2)-10),ph*6)
__GL.glVertex2f(pw*((w/2)+10),ph*6)
__GL.glVertex2f(pw*(w/2),ph*15)
__GL.glEnd()
M = __ExPanel(pw*0,ph*21,pw*210,ph*h,1,'MODEL')
if M:
__BrowseBar(pw*10,ph*40,180)
A = __ExPanel(pw*(w-210),ph*21,pw*w,ph*h,3,'ANIM')
D = __ExPanel(pw*(211 if M else 1),ph*21,pw*(w-(211 if A else 1)),ph*150,2,'DSPL',(0 if M else pw*105)+(0 if A else pw*-105))
if D:
VIEWER.TOGGLE_LIGHTING = __TButton(pw*(221 if M else 11),ph*31,'EnLight',True,'Lighting')
VIEWER.TOGGLE_WIREFRAME = __TButton(pw*(221 if M else 11),ph*56,'EnWire',False,'Wireframe')
VIEWER.TOGGLE_BONES = __TButton(pw*(221 if M else 11),ph*81,'EnBone',True,'Bones')
global ORTHO
if VIEWER.TOGGLE_ORTHO != ORTHO: W_States['EnOrtho'] = VIEWER.TOGGLE_ORTHO; ORTHO = VIEWER.TOGGLE_ORTHO #HACK
ORTHO = __TButton(pw*(321 if M else 111),ph*31,'EnOrtho',True,'Ortho')
VIEWER.TOGGLE_ORTHO = ORTHO
VIEWER.TOGGLE_3D = __TButton(pw*(321 if M else 111),ph*56,'En3D',False,'3D Analglyph')
VIEWER.TOGGLE_NORMALS = __TButton(pw*(321 if M else 111),ph*81,'EnNrm',False,'Normals')
C = __ExPanel(pw*(211 if M else 1),ph*(h-150),pw*(w-(211 if A else 1)),ph*h,0,'CTRL',(0 if M else pw*105)+(0 if A else pw*-105))
__GL.glDisable(__GL.GL_BLEND)
__GL.glEnable(__GL.GL_DEPTH_TEST)
#axis
__GL.glLineWidth(1.0)
__GL.glPushMatrix()
__GL.glTranslatef(pw*(228 if M else 17),ph*(h-(167 if C else 17)),0)
__GL.glScalef(pw*600,ph*600,1)
__GL.glMultMatrixf(RotMatrix)
__GL.glColor3f(1.0,0.0,0.0)
__GL.glBegin(__GL.GL_LINES); __GL.glVertex3f(0.0,0.0,0.0); __GL.glVertex3f(0.02,0.0,0.0); __GL.glEnd() #X
__GL.glTranslatef(0.0145,0.0,0.0); __GL.glRotatef(90, 0.0, 1.0, 0.0)
#__GLUT.glutSolidCone(0.003, 0.011, 8, 1)
__GL.glRotatef(-90, 0.0, 1.0, 0.0); __GL.glTranslatef(-0.0145,0.0,0.0)
__GL.glColor3f(0.0,1.0,0.0)
__GL.glBegin(__GL.GL_LINES); __GL.glVertex3f(0.0,0.0,0.0); __GL.glVertex3f(0.0,-0.02,0.0); __GL.glEnd() #Y
__GL.glTranslatef(0.0,-0.0145,0.0); __GL.glRotatef(90, 1.0, 0.0, 0.0)
#__GLUT.glutSolidCone(0.003, 0.011, 8, 1)
__GL.glRotatef(-90, 1.0, 0.0, 0.0); __GL.glTranslatef(0.0,0.0145,0.0)
__GL.glColor3f(0.0,0.0,1.0)
__GL.glBegin(__GL.GL_LINES); __GL.glVertex3f(0.0,0.0,0.0); __GL.glVertex3f(0.0,0.0,0.02); __GL.glEnd() #Z
__GL.glTranslatef(0.0,0.0,0.0145)
#__GLUT.glutSolidCone(0.003, 0.011, 8, 1)
__GL.glTranslatef(0.0,0.0,-0.0145)
__GL.glColor3f(0.5,0.5,0.5) ; #__GLUT.glutSolidSphere(0.003, 8, 4)
__GL.glPopMatrix()
def __ResizeGUI(w,h): pass
def __Click(b,x,y): pass
def __Release(b,x,y): pass
def __Motion(b,x,y,rx,ry): pass
def __KeyPress(k): pass
def __KeyRelease(k): pass
def __initGUI(): pass
lastHit = [0,False] #last hit record to be compaired with current hit record [ button, state ]
def __CheckHit(b,x,y,s): #checks if the hit (click) executes a command
#b - mouse-button (0,1,2 = L,M,R)
#x,y hit position
#s - state 1 - 0 = execute (full click)
# state starts at 0
# 1 means we've clicked a button (we can change our area during this)
# 0 means we've released
#the state will cause the area to have different affects on different widgets when a particular button is pressed.
#print ['L','M','R'][b]+' - '+str([x,y])+' - '+str(s)
#print str(x)+','+str(y)
#print HitDefs
for name in W_HitDefs:
X1,Y1,X2,Y2 = W_HitDefs[name] #Hit Area
if X1<x<X2 and Y1<y<Y2: #are we in the hit area of this widget?
if W_Types[name]=='toggle':
if not s: #make sure we update upon click-release
W_States[name]=(False if W_States[name] else True)
elif W_Types[name]=='button':
if s: #Click
W_States[name][0]=True
if not s: #Release
W_States[name][1]=True
#leave the false-state changes up to the functions
def __CheckPos(x,y): #checks the new mouse position when moved
pass
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#1
#v 0.001
import COMMON #file vars and functions for import/export processing
import VIEWER #mainly for the toggles
from VIEWER import __GL,__GLU,__pyg
from array import array as __arr
class __Widget:
class _event:
def __init__(self):
self.gainFocus=False #True for the first frame the cursor enters the hitspace
self.loseFocus=False #True for the first frame the cursor leaves the hitspace
self.hasFocus=False #True if the cursor is in the hitspace
self.clickL=False #True if the L mouse button was clicked
self.clickM=False #True if the M mouse button was clicked
self.clickR=False #True if the R mouse button was clicked
self.holdL=False #True if the L mouse button is held
self.holdM=False #True if the M mouse button is held
self.holdR=False #True if the R mouse button is held
self.releaseL=False #True if the L mouse button was released
self.releaseM=False #True if the M mouse button was released
self.releaseR=False #True if the R mouse button was released
self.scrollU=False #True if scrolling up
self.scrollD=False #True if scrolling down
self.allowKeys=False #triggered by a widget
self.keyPress=False #True if a key was pressed
self.keyHold=False #True if a key is being held
self.keyRelease=False#True if a key was released
def __init__(self):
self.info=None
self.motionX=0
self.motionY=0
self.key=None
self.event=self._event()
class __Layer:
from data.VIEWER import __GL,__pyg
class __PrimitiveCollector:
from data.VIEWER import __GL
class __Primitive:
def __init__(self,primitive,color,v1,v2,v3,v4=None):
self.color=color
self.primitive=primitive
self.v1=v1; self.v2=v2; self.v3=v3; self.v4=v4
def __init__(self):
self.primitives={}
def AddTri(self,v1,v2,v3,color=(0,0,0,0)):
self.primitives[len(self.primitives)]=__Primitive(__GL.GL_TRIANGLES,color,v1,v2,v3)
def AddQuad(self,v1,v2,v3,v4,color=(0,0,0,0)):
self.primitives[len(self.primitives)]=__Primitive(__GL.GL_QUADS,color,v1,v2,v3,v4)
class __FontCollector:
class __String:
def __init__(self,text,size,color,x,y,X,Y):
self.color=color
self.text=text; self.size=size
self.x=x; self.y=y
self.X=X; self.Y=Y
def __init__(self):
self.strings={}
def AddString(self,text,size,x,y,X=None,Y=None,color=(0,0,0,255)):
self.strings[len(self.strings)]=__String(text,size,color,x,y,X,Y)
def __init__(self):
self.stack={} #draws FG before BG with FG over BG (alphas are not mixed)
self.overlay={} #clears the depth buffer and disables depth testing before drawing (alphas are mixed)
self.font={} #same as Overly
def AddStack(self):
self.stack[0]=self.__PrimitiveCollector()
def AddOverlay(self):
self.overlay[len(self.overlay)]=self.__PrimitiveCollector()
self.font[len(self.font)]=self.__FontCollector()
def draw(self):
__GL.glEnable(__GL.GL_DEPTH_TEST)
for sid in self.stack: #should return order as 0+ (0 being the FG, [-1] the BG)
d=(len(stack)-sid)*.01
primitives=self.stack[sid].primitives #faster access (I think)
for pid in primitives:
p=primitives[pid]
__GL.glBegin(p.primitive)
__GL.glColor4iv(p.color)
__GL.glVertex3fv(p.v1+[d])
__GL.glVertex3fv(p.v2+[d])
__GL.glVertex3fv(p.v3+[d])
if p.v4!=None: __GL.glVertex3fv(p.v4+[d])
__GL.glEnd()
__GL.glDisable(__GL.GL_DEPTH_TEST)
FontSize=0
for oid in self.overlay:
primitives=self.overlay[oid].primitives
for pid in primitives:
p=primitives[pid]
__GL.glBegin(p.primitive)
__GL.glColor4iv(p.color)
__GL.glVertex2fv(p.v1)
__GL.glVertex2fv(p.v2)
__GL.glVertex2fv(p.v3)
if p.v4!=None: __GL.glVertex2fv(p.v4)
__GL.glEnd()
strings=self.font[oid].strings
for sid in strings:
tet,size=strings[sid].text,strings[sid].size
if size!= FontSize:
F=__pyg.font.Font('fonts/tahoma.ttf',size) #don't use .fon files
FontSize=size
w,h=F.size(text)
image=__pyg.transform.flip(F.render(text,True,strings[sid].color), False, True).get_buffer().raw #get raw pixel data
x,y,X,Y = strings[sid].x,strings[sid].y,strings[sid].X,strings[sid].Y
px=x*pw if type(x)==int else x
py=y*ph if type(y)==int else y
#center to the area: (if specified)
if x2!=None: px+=((X if type(X)==float else float(X)*pw)-px)/2; px-=(w*pw)/2
if y2!=None: py+=((Y if type(Y)==float else float(Y)*ph)-py)/2; py-=(h*ph)/2
py+=(h*ph)
__GL.glRasterPos2f(px,py)
__GL.glDrawPixels(w,h,__GL.GL_BGRA,__GL.GL_UNSIGNED_BYTE,image)
del(image) #remove the old buffer
layer={} #GUI layering info (collection buffers)
layer[0]=__layer() #updated once, modified, and reused
#Drawing Order:
#layer[0]
# stack[0] #FG (not influenced by BG)
# primitive[0] #these primitives are drawn first with a depth of ((len(stack)-stack_index)*.01)
# primitive[1]
# primitive[2]
# stack[1] #BG
# primitive[0]
# primitive[1]
#
# overlay[0] #a layer drawn over the stack-layer
# primitive[0]
# primitive[1]
# font[0] #the font that goes over this overlay-layer
# text[0]
# text[1]
# text[2]
#
# overlay[1] #overlays previous font overlay and stack
# primitive[0]
# primitive[1]
# font[1]
# text[0]
#
#layer[1] #(used for browsers, errors, and other popups)
# stack[0] #overlays layer[0]
# primitive[0]
# stack[1]
# primitive[0]
#
# overlay[0]
# primitive[0]
# font[0]
# text[0]
#
# overlay[1]
# primitive[0]
# font[1]
# text[0]
#this contains the info for each widget
Widgets = {} #{ 'name':__widget() }
HitDefs = {} #{ 'name':[0.0,0.0,0.0,0.0] } #stores the hit rectangle
#the event handler manages the widgets by their hit-defs.
#if the mouse does something within the widget area, the widget is updated
AllowHitUpdates=True
global __AllowVIEWERControl;__AllowVIEWERControl=True
#-----------------------------------
#I/O process functions
def __ImportModelBrowser():
pass
def __ExportModelBrowser():
pass
def __ImportAnimBrowser():
pass
def __ExportAnimBrowser():
pass
#-----------------------------------
#widget resources
"""
FontSize=0
def __font(x,y,size,text,color=(0,0,0,255),x2=None,y2=None):
global pw,ph,FontSize
#__GL.glEnable(__GL.GL_TEXTURE_2D)
#Create Font
#to increase performance, only create a new font when changing the size
if size != FontSize: F=__pyg.font.Font('fonts/tahoma.ttf',size) #don't use .fon files
w,h=F.size(text)
#lsz = F.get_linesize()
#_w,_h=1,1 #GL-modified width/height (binary multiple)
#while _w<w: _w<<=1
#while _h<h: _h<<=1
#fsurf=__pyg.Surface((w,h),__pyg.SRCALPHA)
#fsurf.blit(__pyg.transform.flip(F.render(text,True,color), False, True),(0,0)) #Create GL-Font Image
#w,h=fsurf.get_size()
image=__pyg.transform.flip(F.render(text,True,color), False, True).get_buffer().raw #get raw pixel data
# Create Texture __GL.glGenTextures(1)
'''__GL.glBindTexture(__GL.GL_TEXTURE_2D, 0) # 2d texture (x and y size)
__GL.glPixelStorei(__GL.GL_UNPACK_ALIGNMENT,1)
__GL.glTexImage2D(__GL.GL_TEXTURE_2D, 0, 3, _w, _h, 0, __GL.GL_BGRA, __GL.GL_UNSIGNED_BYTE, image)
__GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_WRAP_S, __GL.GL_CLAMP)
__GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_WRAP_T, __GL.GL_CLAMP)
__GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_WRAP_S, __GL.GL_REPEAT)
__GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_WRAP_T, __GL.GL_REPEAT)
__GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_MAG_FILTER, __GL.GL_NEAREST)
__GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_MIN_FILTER, __GL.GL_NEAREST)
__GL.glTexEnvf(__GL.GL_TEXTURE_ENV, __GL.GL_TEXTURE_ENV_MODE, __GL.GL_DECAL)
w*=pw; h*=ph
__GL.glBegin(__GL.GL_QUADS)
__GL.glColor4f(0.0,0.0,0.0,color[3]*(1.0/255))
__GL.glVertex2f(x,y); __GL.glTexCoord2f(0.0,0.0)
__GL.glVertex2f(x+w,y); __GL.glTexCoord2f(1.0,0.0)
__GL.glVertex2f(x+w,y+h); __GL.glTexCoord2f(1.0,1.0)
__GL.glVertex2f(x,y+h); __GL.glTexCoord2f(0.0,1.0)
__GL.glEnd()'''
px=x*pw if type(x)==int else x
py=y*ph if type(y)==int else y
#center to the area: (if specified)
if x2!=None: px+=((x2 if type(x2)==float else float(x2)*pw)-px)/2; px-=(w*pw)/2
if y2!=None: py+=((y2 if type(y2)==float else float(y2)*ph)-py)/2; py-=(h*ph)/2
py+=(h*ph)
__GL.glRasterPos2f(px,py)
__GL.glDrawPixels(w,h,__GL.GL_BGRA,__GL.GL_UNSIGNED_BYTE,image)
del(image) #remove the old buffer
#__GL.glDisable(__GL.GL_TEXTURE_2D)
return (w,h)
"""
#-----------------------------------
#internal widgets (bound to change)
def __DropBox(X,Y,W,Na,Items,Def=0,Text=''):
global Widgets,HitDefs,pw,ph
global AllowHitUpdates
#convert pixel values to screen ranges
X2,Y2 = X+(pw*W),Y+(ph*20)
#EG: XPosition = (1.0/ScreenWidth)*XPixelPos
#positioning precalculations
pw15 = pw*15
pw5 = pw*5
ph2 = ph*2
sy = Y2-Y
#Widget init info
if Na not in Widgets.keys():
Widgets[Na]=__Widget()
Widgets[Na].info=[Def,False] #[selectionID,isOpen]
if AllowHitUpdates: HitDefs.update({Na:[X,Y,X2+pw15,Y2]})
#Widget logic
if Widgets[Na].event.releaseL: Widgets[Na].info[1]=True #isOpen = True
State = Widgets[Na].info
__GL.glBegin(__GL.GL_QUADS)
__GL.glColor4f(1.0,1.0,1.0,0.25)
__GL.glVertex2f(X,Y)
__GL.glVertex2f(X2,Y)
__GL.glVertex2f(X2,Y2)
__GL.glVertex2f(X,Y2)
__GL.glColor4f(0.0,0.0,0.0,0.1)
__GL.glVertex2f(X2,Y)
__GL.glVertex2f(X2+pw15,Y)
__GL.glVertex2f(X2+pw15,Y2)
__GL.glVertex2f(X2,Y2)
__GL.glEnd()
__font(X+pw5,Y+ph2,12,Na,(0,0,0,100))
if State[1]: #the box has been clicked
HitDefs.clear()
AllowHitUpdates=False #prevent hit updates from other widgets
#(once we've made our selection, we can then allow hit updates)
remove=False
for i,v in enumerate(Items):
#generate a custom widget name using the main name, the item's text, and the enumerant value
N = '%s_%s_Sel%i'%(Na,v,i)
x1,y1,x2,y2=X,Y+(sy*(i+1)),X2,Y2+(sy*(i+1))
#we have to create a new widget for each entry here
if N not in Widgets.keys(): Widgets[N]=__Widget() #test the loop run (doesn't re-create widgets)
HitDefs.update({N:[x1,y1,x2,y2]})
if Widgets[N].event.hasFocus: __GL.glColor4f(0.375,0.375,0.375,0.75)
elif Widgets[N].event.holdL: __GL.glColor4f(0.5,0.5,0.5,0.75)
else: __GL.glColor4f(0.0,0.0,0.0,0.5)
__GL.glBegin(__GL.GL_QUADS)
__GL.glVertex2f(x1,y1)
__GL.glVertex2f(x2,y1)
__GL.glVertex2f(x2,y2)
__GL.glVertex2f(x1,y2)
__GL.glEnd()
__font(x1+pw5,y1+ph2,12,v,(200,200,200,100))
#apply the selection and set to remove these widgets when LMB is released
if Widgets[N].event.releaseL: Widgets[Na].info=[i,False]; remove=True
#add a few widgets to define the click-off area
#(anywhere on the screen that's not in this widget's range)
# ^clicking will close the widget and keep it at it's current selection
_DAN=['%s_DeActivator%i'%(Na,i) for i in range(4)] #custom deactivator names
if _DAN[0] not in Widgets.keys():
Widgets[_DAN[0]]=__Widget()
Widgets[_DAN[1]]=__Widget()
Widgets[_DAN[2]]=__Widget()
Widgets[_DAN[3]]=__Widget()
HitDefs.update({_DAN[0]:[0.0,0.0,X,1.0]}) #left
HitDefs.update({_DAN[1]:[X2,0.0,1.0,1.0]}) #right
HitDefs.update({_DAN[2]:[X,0.0,X2,Y2]}) #top (Y2 because the main widget has no control here)
HitDefs.update({_DAN[3]:[X,y2,X2,1.0]}) #bottom
#the logic to test for and execute a click-off
if any([Widgets[_DAN[0]].event.clickL,Widgets[_DAN[0]].event.clickM,Widgets[_DAN[0]].event.clickR,
Widgets[_DAN[1]].event.clickL,Widgets[_DAN[1]].event.clickM,Widgets[_DAN[1]].event.clickR,
Widgets[_DAN[2]].event.clickL,Widgets[_DAN[2]].event.clickM,Widgets[_DAN[2]].event.clickR,
Widgets[_DAN[3]].event.clickL,Widgets[_DAN[3]].event.clickM,Widgets[_DAN[3]].event.clickR]):
Widgets[Na].info[1]=False #isOpen = False
remove=True
if remove: #remove the selection widgets and click-off widgets
for i,v in enumerate(Items): Widgets.pop('%s_%s_Sel%i'%(Na,v,i));
Widgets.pop(_DAN[0]) #left
Widgets.pop(_DAN[1]) #right
Widgets.pop(_DAN[2]) #top (Y2 because the widget has no control here)
Widgets.pop(_DAN[3]) #bottom
HitDefs.clear()
AllowHitUpdates=True
return State[0]
def __TButton(X,Y,Na,St=False,Text=''):
global Widgets,HitDefs,pw,ph
global AllowHitUpdates
#positioning precalculations
pw20 = pw*20
ph20 = ph*20
#Widget init info
if Na not in Widgets.keys():
Widgets[Na]=__Widget()
Widgets[Na].info=St #toggle state
if AllowHitUpdates: HitDefs.update({Na:[X,Y,X+pw20,Y+ph20]})
#Widget logic
if Widgets[Na].event.releaseL: Widgets[Na].info=(False if Widgets[Na].info else True)
State = Widgets[Na].info
if State: __GL.glColor4f(0.0,0.0,0.0,0.25)
else: __GL.glColor4f(0.0,0.0,0.0,0.1)
__GL.glBegin(__GL.GL_QUADS)
__GL.glVertex2f(X,Y)
__GL.glVertex2f(X+pw20,Y)
__GL.glVertex2f(X+pw20,Y+ph20)
__GL.glVertex2f(X,Y+ph20)
__GL.glEnd()
__font(X+(pw*25),Y+(ph*2),12,Text,(0,0,0,100))
return State
def __Button(X1,Y1,X2,Y2,Na,Text='',fontcolor=(0,0,0,255),St=False):
global Widgets,HitDefs,pw,ph
global AllowHitUpdates
#Widget init info
if Na not in Widgets.keys(): Widgets[Na]=__Widget(); Widgets[Na].info=['button',St]
if AllowHitUpdates: HitDefs.update({Na:[X1,Y1,X2,Y2]})
#Widget logic
if Widgets[Na].event.releaseL: Widgets[Na].info[1]=True
if Widgets[Na].event.clickL or Widgets[Na].event.holdL: __GL.glColor4f(0.0,0.0,0.0,0.1)
else: __GL.glColor4f(0.0,0.0,0.0,0.175)
__GL.glBegin(__GL.GL_QUADS)
__GL.glVertex2f(X1,Y1)
__GL.glVertex2f(X2,Y1)
__GL.glVertex2f(X2,Y2)
__GL.glVertex2f(X1,Y2)
__GL.glEnd()
__font(X1,Y1,12,Text,fontcolor,X2,Y2)
return Widgets[Na].info[1]
def __EndButton(Na):
try:
if type(Widgets[Na].info)==list:
if Widgets[Na].info[0]=='button': Widgets[Na].info[1]=False
except KeyError: pass #this button may not yet be defined
def __TextInput(X,Y,W,Na,Tx=''):
global Widgets,HitDefs,pw,ph
global AllowHitUpdates
#positioning precalculations
pwW = pw*W
ph20 = ph*20
#Widget init info
if Na not in Widgets.keys(): Widgets[Na]=__Widget(); Widgets[Na].info=[Tx,False]
if AllowHitUpdates: HitDefs.update({Na:[X,Y,X+pwW,Y+ph20]})
#Widget logic
if Widgets[Na].event.releaseL: Widgets[Na].info[1]=True #isActive = True
State = Widgets[Na].info
__GL.glBegin(__GL.GL_QUADS)
__GL.glColor4f(1.0,1.0,1.0,0.25)
__GL.glVertex2f(X,Y)
__GL.glVertex2f(X+pwW,Y)
__GL.glVertex2f(X+pwW,Y+ph20)
__GL.glVertex2f(X,Y+ph20)
__GL.glEnd()
def __BrowseBar(X,Y,W,Na,Fn,Text=''):
global pw,ph
__TextInput(X,Y,W,Na+"_TextInput",Tx='')
__Button(X+(pw*W),Y,X+(pw*(W+54)),Y+(ph*20),Na+"_Button",Text='Browse')
#-----------------------------------
#panel drawing functions
ActiveModelTab=0
def __ModelPanel():
global pw,ph,ActiveModelTab
#positioning precalculations
pw210 = pw*210
ph62 = ph*62
ph41 = ph*41
ph21 = ph*21
ph20 = ph*20
#__ExPanel(pw*0,ph*21,pw*210,ph*h,1,'MODEL')
MB0 = __Button(0.,ph21,pw210,ph41,"ModelManageSlot","Models",(230,230,230,255),True)
MB1 = __Button(0.,(1.-ph41 if MB0 else ph*42),
pw210,(1.-ph21 if MB0 else ph62),"ModelFeaturesSlot","Features",(230,230,230,255))
MB2 = __Button(0.,(1.-ph20 if MB0 or MB1 else ph*63),
pw210,(1. if MB0 or MB1 else ph*83),"ModelExportSlot","Export",(230,230,230,255))
if MB0 and MB1: #switch logic
if ActiveModelTab==0: ActiveModelTab=1; __EndButton("ModelManageSlot")
else: ActiveModelTab=0; __EndButton("ModelFeaturesSlot")
if MB0 and MB2:
if ActiveModelTab==0: ActiveModelTab=2; __EndButton("ModelManageSlot")
else: ActiveModelTab=0; __EndButton("ModelExportSlot")
if MB1 and MB2:
if ActiveModelTab==1: ActiveModelTab=2; __EndButton("ModelFeaturesSlot")
else: ActiveModelTab=1; __EndButton("ModelExportSlot")
#draw widgets based on the active button
if MB0:
if __Button(pw*50,ph62,pw*160,ph*82,"ModelImportButton","Import",(230,230,230,255)):
__EndButton("ModelImportButton")
if MB1:
pass
#library model handling here
if MB2:
pass
#__BrowseBar(pw*10,ph*40,180) #Model Export Path
ActiveAnimTab=0
def __AnimPanel():
global pw,ph,ActiveAnimTab
#positioning precalculations
pw210 = pw*210
ph62 = ph*62
ph41 = ph*41
ph21 = ph*21
ph20 = ph*20
#__ExPanel(pw*0,ph*21,pw*210,ph*h,1,'MODEL')
AB0 = __Button(1.-pw210,ph21,1.,ph41,"AnimManageSlot","Animations",(230,230,230,255),True)
AB1 = __Button(1.-pw210,(1.-ph41 if AB0 else ph*42),
1.,(1.-ph21 if AB0 else ph62),"AnimFeaturesSlot","Features",(230,230,230,255))
AB2 = __Button(1.-pw210,(1.-ph20 if AB0 or AB1 else ph*63),
1.,(1. if AB0 or AB1 else ph*83),"AnimExportSlot","Export",(230,230,230,255))
if AB0 and AB1: #switch logic
if ActiveAnimTab==0: ActiveAnimTab=1; __EndButton("AnimManageSlot")
else: ActiveAnimTab=0; __EndButton("AnimFeaturesSlot")
if AB0 and AB2:
if ActiveAnimTab==0: ActiveAnimTab=2; __EndButton("AnimManageSlot")
else: ActiveAnimTab=0; __EndButton("AnimExportSlot")
if AB1 and AB2:
if ActiveAnimTab==1: ActiveAnimTab=2; __EndButton("AnimFeaturesSlot")
else: ActiveAnimTab=1; __EndButton("AnimExportSlot")
#draw widgets based on the active button
if AB0:
if __Button(1.-(pw*160),ph62,1.-(pw*50),ph*82,"AnimImportButton","Import",(230,230,230,255)):
__EndButton("AnimImportButton")
if AB1:
pass
if AB2:
#__BrowseBar(pw*10,ph*40,180) #Model Export Path
pass
def __DisplayPanel(X1,X2):
global pw,ph
#positioning precalculations
pwX1251 = pw*(X1+251)
pwX1131 = pw*(X1+131)
pwX111 = pw*(X1+11)
ph81 = ph*81
ph56 = ph*56
ph31 = ph*31
VIEWER.TOGGLE_LIGHTING=__TButton(pwX111,ph31,'EnLight',True,'Lighting')
VIEWER.TOGGLE_WIREFRAME=__TButton(pwX111,ph56,'EnWire',False,'Wireframe')
VIEWER.TOGGLE_BONES=__DropBox(pwX111,ph81,100,'Draw Bones',['None','Standard','Overlay (X-Ray)'],0)
#reversed drawing order here so fonts overlay properly
if VIEWER.TOGGLE_3D==2: VIEWER.TOGGLE_3D_MODE[1]=[1./60,1./120][__DropBox(pwX1251,ph81,50,'Freq (WIP)',['60hz','120hz'],0)]
if VIEWER.TOGGLE_3D==1: VIEWER.TOGGLE_3D_MODE[0]=__DropBox(pwX1251,ph81,50,'Colors',['R|GB','G|RB','B|RG'],0)
VIEWER.TOGGLE_3D=__DropBox(pwX1131,ph81,100,'3D Drawing',['Off','Analglyph','Shutter'],0)
VIEWER.TOGGLE_ORTHO=__DropBox(pwX1131,ph56,100,'Projection',['Perspective','Orthographic'],1)
VIEWER.TOGGLE_GRID=[2 if VIEWER.TOGGLE_GRID>2 else VIEWER.TOGGLE_GRID,3,4][__DropBox(pwX1131,ph31,100,'Display',['Grid','Floor','Off'],0)]
def __ControlPanel(X1,X2):
global pw,ph
pass
#long var names won't easily get used
OptionsUpdatePanelExpensionState=False; OptionsUpdatePanelButton=0
def __OprionsUpdatePanel(w,h):
global pw,ph,OptionsUpdatePanelExpensionState,OptionsUpdatePanelButton
PES=OptionsUpdatePanelExpensionState #short local name from long global name
#positioning precalculations
pw21 = pw*21
pw20 = pw*20
pw13 = pw*13
pw10 = pw*10
pw7 = pw*7
ph20 = ph*20
ph14 = ph*14
ph13 = ph*13
ph7 = ph*7
ph6 = ph*6
if PES:
X1,Y1,X2,Y2=0.0,0.0,1.0,1.0-ph20
TX1,TY1,TX2,TY2=0.5-pw10,1.0-ph6,0.5+pw10,1.0-ph14
else:
X1,Y1,X2,Y2=0.0,0.0,1.0,0.0
TX1,TY1,TX2,TY2=0.5-pw10,ph6,0.5+pw10,ph14
__GL.glBegin(__GL.GL_QUADS)
__GL.glColor4f(0.5,0.5,0.5,0.8) #options toggle
__GL.glVertex2f(X1,Y1); __GL.glVertex2f(X2,Y1); __GL.glVertex2f(X2,Y2); __GL.glVertex2f(X1,Y2)
__GL.glVertex2f(X1,Y2); __GL.glVertex2f(X2-pw21,Y2); __GL.glVertex2f(X2-pw21,Y2+ph20); __GL.glVertex2f(X1,Y2+ph20)
__GL.glVertex2f(X2-pw20,Y2); __GL.glVertex2f(X2,Y2); __GL.glVertex2f(X2,Y2+ph20); __GL.glVertex2f(X2-pw20,Y2+ph20)
__GL.glEnd()
__GL.glColor4f(0.0,0.0,0.0,0.2)
__GL.glBegin(__GL.GL_TRIANGLES)
__GL.glVertex2f(TX1,TY1); __GL.glVertex2f(TX2,TY1); __GL.glVertex2f(0.5,TY2)
__GL.glEnd()
if PES:
if OptionsUpdatePanelButton==0: #options drawing:
pass
if OptionsUpdatePanelButton==1: #update drawing:
__font(X1,Y1,12,"The Update system is still in development.",(0,0,0,255),X2,Y2)
if __Button(X1,Y2,X2-pw21,Y2+ph20,"OptionsPanelToggleButton",""):
if not OptionsUpdatePanelExpensionState: #open panel
OptionsUpdatePanelExpensionState=True
OptionsUpdatePanelButton=0
elif OptionsUpdatePanelButton==0: OptionsUpdatePanelExpensionState=False #close panel
else: OptionsUpdatePanelButton=0 #switch to options
__EndButton("OptionsPanelToggleButton")
if __Button(X2-pw20,Y2,X2,Y2+ph20,"UpdatePanelToggleButton",""):
if not OptionsUpdatePanelExpensionState: #open panel
OptionsUpdatePanelExpensionState=True
OptionsUpdatePanelButton=1
elif OptionsUpdatePanelButton==1: OptionsUpdatePanelExpensionState=False #close panel
else: OptionsUpdatePanelButton=1 #switch to update
__EndButton("UpdatePanelToggleButton")
__GL.glBegin(__GL.GL_QUADS)
__GL.glColor4f(1.0,0.25,0.25,0.65) #options toggle
__GL.glVertex2f(X2-pw13,Y2+ph7); __GL.glVertex2f(X2-pw7,Y2+ph7); __GL.glVertex2f(X2-pw7,Y2+ph13); __GL.glVertex2f(X2-pw13,Y2+ph13)
__GL.glEnd()
return PES
#-----------------------------------
def __ExPanel(X1,Y1,X2,Y2,EB,Na,MX=0,MY=0,St=True): #returns current state for other panels
global Widgets,HitDefs,pw,ph
global AllowHitUpdates
#positioning precalculations
pw35 = pw*35
pw30 = pw*30
pw25 = pw*25
pw15 = pw*15
pw10 = pw*10
pw5 = pw*5
ph35 = ph*35
ph30 = ph*30
ph25 = ph*25
ph15 = ph*15
ph10 = ph*10
ph5 = ph*5
sx=X2-X1
sy=Y2-Y1
hsx=sx/2
hsy=sy/2
#Widget init info
if Na not in Widgets.keys():
Widgets[Na]=__Widget()
Widgets[Na].info=St #toggle state
#Widget logic
if Widgets[Na].event.releaseL: Widgets[Na].info=(False if Widgets[Na].info else True)
State = Widgets[Na].info
#60x15px rectangle
if EB==0: #top
EBX1,EBY1,EBX2,EBY2=(X1+hsx-pw30),Y1,(X1+hsx+pw30),Y1+ph15
TPX1,TPY1 = EBX1+pw25,EBY1+ph5; TPX2,TPY2 = EBX1+pw30,EBY1+ph10; TPX3,TPY3 = EBX1+pw35,EBY1+ph5
elif EB==1: #right
EBX1,EBY1,EBX2,EBY2=X2-pw15,hsy-ph30,X2,hsy+ph30
TPX1,TPY1 = EBX1+pw10,EBY1+ph25; TPX2,TPY2 = EBX1+pw5,EBY1+ph30; TPX3,TPY3 = EBX1+pw10,EBY1+ph35
elif EB==2: #bottom
EBX1,EBY1,EBX2,EBY2=(X1+hsx-pw30),Y2-ph15,(X1+hsx+pw30),Y2
TPX1,TPY1 = EBX1+pw25,EBY1+ph10; TPX2,TPY2 = EBX1+pw30,EBY1+ph5; TPX3,TPY3 = EBX1+pw35,EBY1+ph10
elif EB==3: #left
EBX1,EBY1,EBX2,EBY2=X1,hsy-ph30,X1+pw15,hsy+ph30
TPX1,TPY1 = EBX1+pw5,EBY1+ph25; TPX2,TPY2 = EBX1+pw10,EBY1+ph30; TPX3,TPY3 = EBX1+pw5,EBY1+ph35
#is the panel expanded?
if not State:
if EB==0: #top
Eq=sy-ph15; EBY1,EBY2=EBY1+Eq,EBY2+Eq
TPY1,TPY2,TPY3=TPY1+(Eq+ph5),TPY2+(Eq-ph5),TPY3+(Eq+ph5)
elif EB==1: #right
Eq=sx-pw15; EBX1,EBX2=EBX1-Eq,EBX2-Eq
TPX1,TPX2,TPX3=TPX1-(Eq+pw5),TPX2-(Eq-pw5),TPX3-(Eq+pw5)
elif EB==2: #bottom
Eq=sy-ph15; EBY1,EBY2=EBY1-Eq,EBY2-Eq
TPY1,TPY2,TPY3=TPY1-(Eq+ph5),TPY2-(Eq-ph5),TPY3-(Eq+ph5)
elif EB==3: #left
Eq=sx-pw15; EBX1,EBX2=EBX1+Eq,EBX2+Eq
TPX1,TPX2,TPX3=TPX1+(Eq+pw5),TPX2+(Eq-pw5),TPX3+(Eq+pw5)
'''
__GL.glColor4f(0.5,0.5,0.5,0.8)
__GL.glBegin(__GL.GL_QUADS) #(just the BG color behind the toggle button)
__GL.glVertex2f(EBX1+MX,EBY1+MY)
__GL.glVertex2f(EBX1+MX,EBY2+MY)
__GL.glVertex2f(EBX2+MX,EBY2+MY)
__GL.glVertex2f(EBX2+MX,EBY1+MY)
__GL.glEnd()
'''
if AllowHitUpdates: HitDefs.update({Na:[EBX1+MX,EBY1+MY,EBX2+MX,EBY2+MY]})
__GL.glColor4f(0.0,0.0,0.0,0.175)
__GL.glBegin(__GL.GL_TRIANGLES)
__GL.glVertex3f(TPX1+MX,TPY1+MY,0.01)
__GL.glVertex3f(TPX2+MX,TPY2+MY,0.01)
__GL.glVertex3f(TPX3+MX,TPY3+MY,0.01)
__GL.glEnd()
__GL.glBegin(__GL.GL_QUADS)
__GL.glVertex3f(EBX1+MX,EBY1+MY,0.01)
__GL.glVertex3f(EBX1+MX,EBY2+MY,0.01)
__GL.glVertex3f(EBX2+MX,EBY2+MY,0.01)
__GL.glVertex3f(EBX2+MX,EBY1+MY,0.01)
__GL.glEnd()
if State:
__GL.glBegin(__GL.GL_QUADS)
__GL.glColor4f(0.5,0.5,0.5,0.8) #model (left) panel
__GL.glVertex3f(X1,Y1,0.0)
__GL.glVertex3f(X1,Y2,0.0)
__GL.glVertex3f(X2,Y2,0.0)
__GL.glVertex3f(X2,Y1,0.0)
__GL.glEnd()
return State
def __FrameCheck(): #where most of the widget-event state-logic happens.
#the functions below "__DrawGUI" simply handle base-state functions
#a frame must pass before the base state can be reverted (where this function comes in)
global Widgets #we don't need to worry about hit-defs here (only 1 widget at a time can be operated)
for WN,W in Widgets.items():
#check for a click event: (transfer click to hold)
if W.event.clickL: W.event.clickL=False; W.event.holdL=True
if W.event.clickM: W.event.clickM=False; W.event.holdM=True
if W.event.clickR: W.event.clickR=False; W.event.holdR=True
#check for a release event: (disable the hold-state)
if W.event.releaseL: W.event.releaseL=False; W.event.holdL=False
if W.event.releaseM: W.event.releaseM=False; W.event.holdM=False
if W.event.releaseR: W.event.releaseR=False; W.event.holdR=False
#check for a scroll event:
if W.event.scrollU: W.event.scrollU=False
if W.event.scrollD: W.event.scrollD=False
doFrameCheck=False
def __Click(b,x,y):
global Widgets,HitDefs,doFrameCheck
for WN,HD in HitDefs.items():
X1,Y1,X2,Y2=HD
if X1<x<X2 and Y1<y<Y2: # Widget clicked
if b==1: Widgets[WN].event.clickL=True; doFrameCheck=True
if b==2: Widgets[WN].event.clickM=True; doFrameCheck=True
if b==3: Widgets[WN].event.clickR=True; doFrameCheck=True
#scrolling:
if b==4: Widgets[WN].event.scrollU=True; doFrameCheck=True
if b==5: Widgets[WN].event.scrollD=True; doFrameCheck=True
def __Release(b,x,y):
global Widgets,HitDefs,doFrameCheck
for WN,HD in HitDefs.items():
X1,Y1,X2,Y2=HD
if X1<x<X2 and Y1<y<Y2: # Widget clicked
if b==1: Widgets[WN].event.releaseL=True; doFrameCheck=True
if b==2: Widgets[WN].event.releaseM=True; doFrameCheck=True
if b==3: Widgets[WN].event.releaseR=True; doFrameCheck=True
#scrolling is managed by "__FrameCheck", so it's not needed here
def __Motion(b,x,y,rx,ry):
pass
'''
def __CheckPos(x,y): #checks the new mouse position when moved
import sys
for name in W_HitDefs: #we want to concentrait on if we're over a hit area
X1,Y1,X2,Y2 = W_HitDefs[name] #Hit Area
#are we in the hit area of this widget?
if X1<x<X2 and Y1<y<Y2: W_States[name][3]=True
else: W_States[name][3]=False
'''
def __KeyPress(k):
global Widgets,HitDefs,doFrameCheck
for WN,W in Widgets.items():
if W.event.allowKeys:
Widgets[WN].event.keyPress=True; doFrameCheck=True
Widgets[WN].key=k
def __KeyRelease(k):
pass
lw,lh = 0,0
def __DrawGUI(w,h,RotMatrix): #called directly by the display function after drawing the scene
global pw,ph,lw,lh,layer
#the GUI is drawn over the scene by clearing the depth buffer
#using floats will cause a more accurate edge-blur between panels when the screen is resized
pw,ph=1./w,1./h
#using ints won't look as pretty, but you won't need the extra multiplication (TODO: add in options)
global HitDefs
HitDefs = {} #clear the hitdefs to avoid improper activation
__GL.glMatrixMode(__GL.GL_PROJECTION)
__GL.glLoadIdentity()
__GL.glOrtho(0.0, 1.0, 1.0, 0.0, -100, 100)
#__GLU.gluOrtho2D(0.0, 1.0, 1.0, 0.0)
__GL.glMatrixMode(__GL.GL_MODELVIEW)
__GL.glClear( __GL.GL_DEPTH_BUFFER_BIT )
#__GL.glPolygonMode(__GL.GL_FRONT_AND_BACK,__GL.GL_FILL)
__GL.glLoadIdentity()
__GL.glBlendFunc(__GL.GL_SRC_ALPHA, __GL.GL_ONE_MINUS_SRC_ALPHA)
__GL.glEnable(__GL.GL_BLEND)
__GL.glEnable(__GL.GL_DEPTH_TEST)
__GL.glDisable(__GL.GL_TEXTURE_2D)
__GL.glDisable(__GL.GL_LIGHTING)
#positioning precalculations
pw211 = pw*211
pw210 = pw*210
pw105 = pw*105
ph150 = ph*150
ph21 = ph*21
M,A,D,C=False,False,False,False
if not __OprionsUpdatePanel(w,h):
M = __ExPanel(0.,ph21,pw210,1.,1,'MODEL')
if M: __ModelPanel()
A = __ExPanel(1.-pw210,ph21,1.,1.,3,'ANIM')
if A: __AnimPanel()
D = __ExPanel(pw211 if M else 0.,ph21,1.-(pw211 if A else 0.),ph150,2,'DSPL',(0. if M else pw105)+(0. if A else -pw105))
if D: __DisplayPanel(210 if M else 0,-210 if A else 0)
C = __ExPanel(pw211 if M else 0.,1.-ph150,1.-(pw211 if A else 0.),1.,0,'CTRL',(0 if M else pw105)+(0 if A else -pw105))
if C: __ControlPanel(210 if M else 0,-210 if A else 0)
__GL.glDisable(__GL.GL_BLEND)
#__GL.glEnable(__GL.GL_DEPTH_TEST)
#axis
__GL.glLineWidth(1.0)
__GL.glPushMatrix()
__GL.glTranslatef(pw*(228 if M else 17),ph*(h-(167 if C else 17)),0)
__GL.glScalef(pw*600,ph*600,1)
__GL.glMultMatrixf(RotMatrix)
__GL.glColor3f(1.0,0.0,0.0)
__GL.glBegin(__GL.GL_LINES); __GL.glVertex3f(0.0,0.0,0.0); __GL.glVertex3f(0.02,0.0,0.0); __GL.glEnd() #X
__GL.glTranslatef(0.0145,0.0,0.0); __GL.glRotatef(90, 0.0, 1.0, 0.0)
#__GLUT.glutSolidCone(0.003, 0.011, 8, 1)
__GL.glRotatef(-90, 0.0, 1.0, 0.0); __GL.glTranslatef(-0.0145,0.0,0.0)
__GL.glColor3f(0.0,1.0,0.0)
__GL.glBegin(__GL.GL_LINES); __GL.glVertex3f(0.0,0.0,0.0); __GL.glVertex3f(0.0,-0.02,0.0); __GL.glEnd() #Y
__GL.glTranslatef(0.0,-0.0145,0.0); __GL.glRotatef(90, 1.0, 0.0, 0.0)
#__GLUT.glutSolidCone(0.003, 0.011, 8, 1)
__GL.glRotatef(-90, 1.0, 0.0, 0.0); __GL.glTranslatef(0.0,0.0145,0.0)
__GL.glColor3f(0.0,0.0,1.0)
__GL.glBegin(__GL.GL_LINES); __GL.glVertex3f(0.0,0.0,0.0); __GL.glVertex3f(0.0,0.0,0.02); __GL.glEnd() #Z
__GL.glTranslatef(0.0,0.0,0.0145)
#__GLUT.glutSolidCone(0.003, 0.011, 8, 1)
__GL.glTranslatef(0.0,0.0,-0.0145)
__GL.glColor3f(0.5,0.5,0.5) ; #__GLUT.glutSolidSphere(0.003, 8, 4)
__GL.glPopMatrix()
for lid in layer: layer[lid].draw()
global doFrameCheck
if doFrameCheck: __FrameCheck(); doFrameCheck=False
__GL.glBlendFunc(__GL.GL_SRC_ALPHA, __GL.GL_ONE_MINUS_SRC_ALPHA) #reset to mormal for anything else
def __initGUI():
__pyg.font.init() | {
"repo_name": "Universal-Model-Converter/UMC3.0a",
"path": "dev tests and files/data (scrapped dev5 attempt)/GUI_last.py",
"copies": "1",
"size": "32956",
"license": "mit",
"hash": -278279484921126660,
"line_mean": 34.590712743,
"line_max": 142,
"alpha_frac": 0.5989197718,
"autogenerated": false,
"ratio": 2.7084155161078236,
"config_test": false,
"has_no_keywords": false,
"few_assignments": false,
"quality_score": 0.38073352879078237,
"avg_score": null,
"num_lines": null
} |
#1
#v 0.001
import COMMON,sys; sys.path.append('data')
#TODO: remove:
from OpenGL.GL import *
from OpenGL.GLU import *
from OpenGL import GL as __GL, GLU as __GLU
import ArcBall as __AB, pygame as __pyg
from pygame.locals import * #TODO: localize
from LOGGING import LOG as __LOG, WRITE_LOG as __WLOG #will be moved to GUI
import GUI as __GUI
global Libs; Libs=[ [], # MtlNodes
[], # Images
[], # Textures
[], # Materials
[["UMC_Def_Scene",[]]], # Scenes
[], # Objects
[]] # Animations
#toggles
TOGGLE_FULLSCREEN=0
TOGGLE_ORTHO=1
TOGGLE_LIGHTING=1
TOGGLE_3D=0
TOGGLE_3D_MODE=[0,0]
TOGGLE_WIREFRAME=0
TOGGLE_BONES=1
TOGGLE_GRID=2
#TOGGLE_REDRAW=False
#display list definition variables:
global __TOP_GRID,__SIDE_GRID,__FRONT_GRID,\
__QUAD_FLOOR,__LINE_FLOOR,\
__MODEL_DATA,__BONE_DATA
#the bone data is seperate so it can be drawn over the model data (X-ray), or within the model data
#(specified by clearing the depth buffer before drawing the bones)
#local usage:
width,height = 800,600
W,H = 800,600;
__abt=__AB.ArcBallT(width,height)
#Tcll5850: HOORAY! My very first working class in UMC. =D
#this class deals with the matrix applied to the model-view transformation
class __viewMatrixclass():
def __init__(self):
#[SX, RZ,-RY, 0
#-RZ, SY, RX, 0
# RY,-RX, SZ, 0
# TX, TY, TZ, 1]
import ArcBall as __AB #TODO: use global import
self.__ID33=__AB.Matrix3fT
self.__ID44=__AB.Matrix4fT
self.reset()
def reset(self): #called by key 9
self.X,self.Y,self.Z=0.0,0.0,0.0
self.RotMtx=self.__ID33()
self._scale=0.1
self.rotate(10.0,350.0,0.0)
#keeping this here for reference (when needed),
#since this works flawlessly for matrix (not view) transformation
'''
def translate(self,x,y,z): #matrix translation
self.Matrix[3][0]+=(self.Matrix[0][0]*x)+(self.Matrix[1][0]*y)+(self.Matrix[2][0]*z)
self.Matrix[3][1]+=(self.Matrix[0][1]*x)+(self.Matrix[1][1]*y)+(self.Matrix[2][1]*z)
self.Matrix[3][2]+=(self.Matrix[0][2]*x)+(self.Matrix[1][2]*y)+(self.Matrix[2][2]*z)
self.Matrix[3][3]+=(self.Matrix[0][3]*x)+(self.Matrix[1][3]*y)+(self.Matrix[2][3]*z)
#matrix rotation:
def __RotX(self,x): #rotate along X axis
from math import sin, cos, pi
cosx,sinx=cos(x/180.0*pi),sin(x/180.0*pi)
var1,var2=self.RotMtx[1][0],self.RotMtx[2][0]
self.RotMtx[1][0]=(var1*cosx) +(var2*sinx)
self.RotMtx[2][0]=(var1*-sinx)+(var2*cosx)
var1,var2=self.RotMtx[1][1],self.RotMtx[2][1]
self.RotMtx[1][1]=(var1*cosx) +(var2*sinx)
self.RotMtx[2][1]=(var1*-sinx)+(var2*cosx)
var1,var2=self.RotMtx[1][2],self.RotMtx[2][2]
self.RotMtx[1][2]=(var1*cosx) +(var2*sinx)
self.RotMtx[2][2]=(var1*-sinx)+(var2*cosx)
def __RotY(self,y): #rotate along Y axis
from math import sin, cos, pi
cosy,siny=cos(y/180.0*pi),sin(y/180.0*pi)
var1,var2=self.RotMtx[0][0],self.RotMtx[2][0]
self.RotMtx[0][0]=(var1*cosy)+(var2*-siny)
self.RotMtx[2][0]=(var1*siny)+(var2*cosy)
var1,var2=self.RotMtx[0][1],self.RotMtx[2][1]
self.RotMtx[0][1]=(var1*cosy)+(var2*-siny)
self.RotMtx[2][1]=(var1*siny)+(var2*cosy)
var1,var2=self.RotMtx[0][2],self.RotMtx[2][2]
self.RotMtx[0][2] =(var1*cosy)+(var2*-siny)
self.RotMtx[2][2]=(var1*siny)+(var2*cosy)
def __RotZ(self,z): #rotate along Z axis
from math import sin, cos, pi
cosz,sinz=cos(z/180.0*pi),sin(z/180.0*pi)
var1,var2=self.RotMtx[0][0],self.RotMtx[1][0]
self.RotMtx[0][0]=(var1*cosz) +(var2*sinz)
self.RotMtx[1][0]=(var1*-sinz)+(var2*cosz)
var1,var2=self.RotMtx[0][1],self.RotMtx[1][1]
self.RotMtx[0][1]=(var1*cosz) +(var2*sinz)
self.RotMtx[1][1]=(var1*-sinz)+(var2*cosz)
var1,var2=self.RotMtx[0][2],self.RotMtx[1][2]
self.RotMtx[0][2]=(var1*cosz) +(var2*sinz)
self.RotMtx[1][2]=(var1*-sinz)+(var2*cosz)
'''
def _getMtx(self):
mtx=self.__ID44()
#apply rotation
mtx[0][0]=self.RotMtx[0][0]
mtx[0][1]=self.RotMtx[0][1]
mtx[0][2]=self.RotMtx[0][2]
mtx[1][0]=self.RotMtx[1][0]
mtx[1][1]=self.RotMtx[1][1]
mtx[1][2]=self.RotMtx[1][2]
mtx[2][0]=self.RotMtx[2][0]
mtx[2][1]=self.RotMtx[2][1]
mtx[2][2]=self.RotMtx[2][2]
#apply rotation to translation and apply translation
import COMMON #Tcll5850: yes I'm using UMC scripting functions... bite me
ir=COMMON.MtxInvert(mtx) #inverse rotation
mtx[3][0]=(ir[0][0]*self.X)+(ir[0][1]*self.Y)+(ir[0][2]*self.Z)
mtx[3][1]=(ir[1][0]*self.X)+(ir[1][1]*self.Y)+(ir[1][2]*self.Z)
mtx[3][2]=(ir[2][0]*self.X)+(ir[2][1]*self.Y)+(ir[2][2]*self.Z)
#apply scale and return the result
mtx[0][0] *= self._scale; mtx[1][0] *= self._scale; mtx[2][0] *= self._scale
mtx[0][1] *= self._scale; mtx[1][1] *= self._scale; mtx[2][1] *= self._scale
mtx[0][2] *= self._scale; mtx[1][2] *= self._scale; mtx[2][2] *= self._scale
mtx[0][3] *= self._scale; mtx[1][3] *= self._scale; mtx[2][3] *= self._scale
mtx[3][0] *= self._scale; mtx[3][1] *= self._scale; mtx[3][2] *= self._scale
return mtx
def translate(self,x,y,z): #modify the matrix translation (from view)
X=(self.RotMtx[0][0]*x)+(self.RotMtx[0][1]*y)+(self.RotMtx[0][2]*z)
Y=(self.RotMtx[1][0]*x)+(self.RotMtx[1][1]*y)+(self.RotMtx[1][2]*z)
Z=(self.RotMtx[2][0]*x)+(self.RotMtx[2][1]*y)+(self.RotMtx[2][2]*z)
X/=self._scale; Y/=self._scale; Z/=self._scale
self.X+=X; self.Y+=Y; self.Z+=Z
def rotate(self,x=0.0,y=0.0,z=0.0): #modify the matrix rotation (from view)
from math import sin,cos,radians
import ArcBall as __AB
cosx = cos(radians(x)); sinx = sin(radians(x))
cosy = cos(radians(y)); siny = sin(radians(y))
cosz = cos(radians(z)); sinz = sin(radians(z))
m = self.__ID33()
m[0][0] = cosy * cosz
m[0][1] = sinz * cosy
m[0][2] = -siny
m[1][0] = (sinx * cosz * siny - cosx * sinz)
m[1][1] = (sinx * sinz * siny + cosz * cosx)
m[1][2] = sinx * cosy;
m[2][0] = (sinx * sinz + cosx * cosz * siny)
m[2][1] = (cosx * sinz * siny - sinx * cosz)
m[2][2] = cosx * cosy
self.RotMtx = __AB.Matrix3fMulMatrix3f(self.RotMtx,m)
def mtxrotate(self,mtx33): #modify the matrix rotation (from view)
self.RotMtx=mtx33
def scale(self,s): #modify the matrix scale (applied to view when calling the main matrix)
self._scale*=s
def getaxismtx(self): #a transformation matrix designed specifically for the GUI axis display
rm=self.__ID44()
rm[0][0]=self.RotMtx[0][0]
rm[0][1]=self.RotMtx[0][1]*-1
rm[0][2]=self.RotMtx[0][2]
rm[1][0]=self.RotMtx[1][0]*-1
rm[1][1]=self.RotMtx[1][1]
rm[1][2]=self.RotMtx[1][2]*-1
rm[2][0]=self.RotMtx[2][0]
rm[2][1]=self.RotMtx[2][1]*-1
rm[2][2]=self.RotMtx[2][2]
return rm
__viewMatrix = __viewMatrixclass()
#all viewing transformations are applied to the view-matrix...
#this matrix is applied to the modelview matrix before drawing the models
#this saves performance since the calculations don't have to be recalculated for every frame
# however, calling __viewMatrix._getMtx() builds the matrix from internal eular values before returning it.
# (it's fast, but could be slightly faster (save the last matrix for re-use until updated))
'''
def __if2f(i): return (i*0.003921568627450980392156862745098 if type(i)==int else i) #__if2f(255) >>> 1.0
from FORMAT import UMC_POINTS,UMC_LINES,UMC_LINESTRIP,UMC_LINELOOP,UMC_TRIANGLES,UMC_TRIANGLESTRIP,UMC_TRIANGLEFAN,UMC_QUADS,UMC_QUADSTRIP,UMC_POLYGON
__UMCGLPRIMITIVES = {
UMC_POINTS:__GL.GL_POINTS,
UMC_LINES:__GL.GL_LINES,
UMC_LINESTRIP:__GL.GL_LINE_STRIP,
UMC_LINELOOP:__GL.GL_LINE_LOOP,
UMC_TRIANGLES:__GL.GL_TRIANGLES,
UMC_TRIANGLESTRIP:__GL.GL_TRIANGLE_STRIP,
UMC_TRIANGLEFAN:__GL.GL_TRIANGLE_FAN,
UMC_QUADS:__GL.GL_QUADS,
UMC_QUADSTRIP:__GL.GL_QUAD_STRIP,
UMC_POLYGON:__GL.GL_POLYGON}
def __M():
global Libs,__UMCGLPRIMITIVES
__GL.glColor3f(1.0,1.0,1.0)
for Name,Objects in Libs[4]:
for ID in Objects:
ObjectName,Viewport,LRS,Sub_Data,Parent_ID=Libs[5][ID]
SDType,SDName,SDData1,SDData2=Sub_Data
if SDType=="_Mesh":
__GL.glLineWidth(1.0)
MaterialName,MatNodeID,MatColors,Textures,R1,R2 = Libs[3][SDData1] if type(SDData1)==int else [ "UMC_Def_Mat", '', [[1.0,1.0,1.0,1.0],[1.0,1.0,1.0,1.0],[0.5,0.5,0.5,1.0],[0.0,0.0,0.0,0.0],25.0], [], [], [] ]
MAR,MAG,MAB,MAA = MatColors[0]
MDR,MDG,MDB,MDA = MatColors[1]
MSR,MSG,MSB,MSA = MatColors[2]
MER,MEG,MEB,MEA = MatColors[3]
MSV = MatColors[4]
__GL.glMaterialfv(__GL.GL_FRONT, __GL.GL_AMBIENT, [MAR,MAG,MAB,MAA])
__GL.glMaterialfv(__GL.GL_FRONT, __GL.GL_DIFFUSE, [MDR,MDG,MDB,MDA]);
__GL.glMaterialfv(__GL.GL_FRONT, __GL.GL_SPECULAR, [MSR,MSG,MSB,MSA]);
__GL.glMaterialfv(__GL.GL_FRONT, __GL.GL_EMISSION, [MER,MEG,MEB,MEA])
__GL.glMaterialf(__GL.GL_FRONT, __GL.GL_SHININESS, MSV)
## # Create Texture
## __GL.glBindTexture(__GL.GL_TEXTURE_2D, __GL.glGenTextures(1)) # 2d texture (x and y size)
## __GL.glPixelStorei(__GL.GL_UNPACK_ALIGNMENT,1)
## __GL.glTexImage2D(__GL.GL_TEXTURE_2D, 0, 3, ix, iy, 0, __GL.GL_RGBA, __GL.GL_UNSIGNED_BYTE, image)
## __GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_WRAP_S, __GL.GL_CLAMP)
## __GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_WRAP_T, __GL.GL_CLAMP)
## __GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_WRAP_S, __GL.GL_REPEAT)
## __GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_WRAP_T, __GL.GL_REPEAT)
## __GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_MAG_FILTER, __GL.GL_NEAREST)
## __GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_MIN_FILTER, __GL.GL_NEAREST)
## __GL.glTexEnvf(__GL.GL_TEXTURE_ENV, __GL.GL_TEXTURE_ENV_MODE, __GL.GL_DECAL)
Verts,Normals,Colors,UVs,Weights,Primitives=SDData2
LC0,LC1=[0,0,0,0],[0,0,0,0] #Remember last used colors (starts at transparent black)
for Primitive,Facepoints in Primitives:
__GL.glBegin(__UMCGLPRIMITIVES[Primitive])
for V,N,Cs,Us in Facepoints:
C0,C1=Cs; U0,U1,U2,U3,U4,U5,U6,U7=Us
#once I support materials properly: (materials hold textures)
#if U0!='': glMultiTexCoord2f(GL_TEXTURE0,Fl(UVs[0][U0][0]),Fl(UVs[0][U0][1]))
#if U1!='': glMultiTexCoord2f(GL_TEXTURE1,Fl(UVs[1][U1][0]),Fl(UVs[1][U1][1]))
#if U2!='': glMultiTexCoord2f(GL_TEXTURE2,Fl(UVs[2][U2][0]),Fl(UVs[2][U2][1]))
#if U3!='': glMultiTexCoord2f(GL_TEXTURE3,Fl(UVs[3][U3][0]),Fl(UVs[3][U3][1]))
#if U4!='': glMultiTexCoord2f(GL_TEXTURE4,Fl(UVs[4][U4][0]),Fl(UVs[4][U4][1]))
#if U5!='': glMultiTexCoord2f(GL_TEXTURE5,Fl(UVs[5][U5][0]),Fl(UVs[5][U5][1]))
#if U6!='': glMultiTexCoord2f(GL_TEXTURE6,Fl(UVs[6][U6][0]),Fl(UVs[6][U6][1]))
#if U7!='': glMultiTexCoord2f(GL_TEXTURE7,Fl(UVs[7][U7][0]),Fl(UVs[7][U7][1]))
#max texture is 31
if C0!='': #IRAGBA format
C0L=len(Colors[0][C0])
C0R,C0G,C0B,C0A=[__if2f(Colors[0][C0][0]),
__if2f(Colors[0][C0][1]) if C0L>2 else __if2f(Colors[0][C0][0]),
__if2f(Colors[0][C0][2]) if C0L>2 else __if2f(Colors[0][C0][0]),
__if2f(Colors[0][C0][3]) if C0L==4 else (__if2f(Colors[0][C0][1]) if C0L==2 else 1.0)]
__GL.glColor4f((MAR+MDR+C0R)/3,(MAG+MDG+C0G)/3,(MAB+MDB+C0B)/3,(MAA+MDA+C0A)/3)
__GL.glMaterialfv(GL_FRONT, GL_AMBIENT, [(MAR+C0R)/2,(MAG+C0G)/2,(MAB+C0B)/2,(MAA+C0A)/2])
__GL.glMaterialfv(GL_FRONT, GL_DIFFUSE, [(MDR+C0R)/2,(MDG+C0G)/2,(MDB+C0B)/2,(MDA+C0A)/2])
__GL.glMaterialfv(GL_FRONT, GL_SPECULAR, [(MSR+C0R)/2,(MSG+C0G)/2,(MSB+C0B)/2,(MSA+C0A)/2])
__GL.glMaterialf(GL_FRONT, GL_SHININESS, 25.0)
LC0=[C0R,C0G,C0B,C0A]
if C1!='': #IRAGBA format
C1L=len(Colors[1][C1])
C1R,C1G,C1B,C1A=[__if2f(Colors[1][C1][0]),
__if2f(Colors[1][C1][1]) if C1L>2 else __if2f(Colors[1][C1][0]),
__if2f(Colors[1][C1][2]) if C1L>2 else __if2f(Colors[1][C1][0]),
__if2f(Colors[1][C1][3]) if C1L==4 else (__if2f(Colors[1][C1][1]) if C1L==2 else 1.0)]
if LC1!=[C1R,C1G,C1B,C1A]: __GL.glSecondaryColor3f(C1R,C1G,C1B); LC1=[C1R,C1G,C1B,C1A]
#Alpha is supported but not registered here (glSecondaryColor4f is not a registered function)
if N!='': __GL.glNormal3f(Normals[N][0]*0.1,Normals[N][1]*0.1,Normals[N][2]*0.1)
VL=len(Verts[V])
VX,VY,VZ=Verts[V]+([0.0] if VL==2 else [])
__GL.glVertex3f(VX,VY,VZ)
__GL.glEnd()
elif SDType=="_DMesh": pass
def __B():
global Libs
for Name,Objects in Libs[4]:
for ID in Objects:
ObjectName,Viewport,LRS,Sub_Data,Parent_ID=Libs[5][ID]
SDType,SDName,SDData1,SDData2=Sub_Data
if SDType=="_Rig":
__GL.glLineWidth(3.5)
for bone in SDData2:
PLRS,CLRS = (SDData2[bone[4]][2] if type(bone[4])==int else [0,0,0,0,0,0,1,1,1]),bone[2]
__GL.glBegin(GL_LINES)
__GL.glColor3f(1,1,1)
__GL.glVertex3f((PLRS[0]*PLRS[6]),(PLRS[1]*PLRS[7]),(PLRS[2]*PLRS[8]))
__GL.glVertex3f((CLRS[0]*CLRS[6]),(CLRS[1]*CLRS[7]),(CLRS[2]*CLRS[8]))
__GL.glEnd()
'''
def __Draw_Scene():
global TOGGLE_FULLSCREEN,TOGGLE_LIGHTING,TOGGLE_3D,TOGGLE_WIREFRAME,TOGGLE_BONES,TOGGLE_ORTHO
global __viewMatrix
__GL.glMultMatrixf(__viewMatrix._getMtx())
__GL.glDisable(__GL.GL_LIGHTING) #disable for the grid
if TOGGLE_GRID<4:
global __TOP_GRID,__SIDE_GRID,__FRONT_GRID,__QUAD_FLOOR
__GL.glCallList([__TOP_GRID,__SIDE_GRID,__FRONT_GRID,__QUAD_FLOOR][TOGGLE_GRID])
'''
if TOGGLE_LIGHTING: __GL.glEnable(__GL.GL_LIGHTING)
__GL.glCallList(__GL.__MODEL_DATA) #finally got display lists working =D
if TOGGLE_LIGHTING: __GL.glDisable(__GL.GL_LIGHTING) #disable for the grid and bones
if TOGGLE_BONES:
if TOGGLE_BONES==2: __GL.glClear( __GL.GL_DEPTH_BUFFER_BIT ) #overlay the bones (X-Ray)
__GL.glCallList(__BONE_DATA)
for Name,Objects in Libs[4]: #de-scaled bone joints
for ID in Objects:
ObjectName,Viewport,LRS,Sub_Data,Parent_ID=Libs[5][ID]
SDType,SDName,SDData1,SDData2=Sub_Data
if SDType=="_Rig":
for bone in SDData2:
PLRS,CLRS = (SDData2[bone[4]][2] if type(bone[4])==int else [0,0,0,0,0,0,1,1,1]),bone[2]
__GL.glTranslate((CLRS[0]*CLRS[6]),(CLRS[1]*CLRS[7]),(CLRS[2]*CLRS[8]))
#glutSolidSphere(0.03/__viewMatrix._scale, 25, 25)
__GL.glTranslate(-(CLRS[0]*CLRS[6]),-(CLRS[1]*CLRS[7]),-(CLRS[2]*CLRS[8]))
'''
pass
#___________________________________________________________________________________________
_mode=0 #logger mode: 0=write, 1=append
DIR='' #to remember the import directory
def Keyboard(key, x, y):
global TOGGLE_FULLSCREEN,TOGGLE_LIGHTING,TOGGLE_GRID,TOGGLE_WIREFRAME,TOGGLE_BONES,TOGGLE_3D,TOGGLE_ORTHO
global _mode,DIR
global __MODEL_DATA,__BONE_DATA
#//--// need a GUI handler for these
if key == chr(9): #import model
typenames,modules,modnames,ihandlers,decmpr = [],[],[],[],[]; iftypes,isupport = [],[]
for M,D,I in COMMON.__Scripts[0][0]: #get model import scripts
if D[1] != ('',['']): #script has model info (not sure if it's safe to remove this yet)
iftypes+=[(D[1][0],tuple(["*.%s"%T for T in D[1][1]]))]
for T in D[1][1]:
try: isupport.index("*.%s"%T) #is this file type already supported?
except: isupport+=["*.%s"%T] #add the current file type to the supported types list
modnames+=[D[1][0]] #displayed in the GUI or Tk fiter
typenames+=[T] #filetype
modules+=[M] #current script
ihandlers+=[I] #included image handlers
#----- Tkinter dialog (will be replaced)
_in=askopenfilename(title='Import Model', filetypes=[('Supported', " ".join(isupport))]+iftypes)
#-----
if _in=='': pass #action cancelled
else:
COMMON.__functions=[0,0,0,0] #prevent unwanted initialization
#this block will change once I use my own dialog
#Tkinter doesn't return the filter ID
#-----
it = _in.split('.')[-1]
if typenames.count(it)>1:
print '\nThis filetype is used by multiple scripts:\n'
scr = []
for idx,ft in enumerate(typenames):
if ft==it: scr+=[[modnames[idx],modules[idx]]]
for I,NM in enumerate(scr): print ' %i - %s'%(I,NM[0])
print
sid=input('Please enter the script ID here: ')
i=__import__(scr[sid][1])
else:
ti=typenames.index(it)
i=__import__(modules[ti])
COMMON.__ReloadScripts() #check for valid changes to the scripts
#-----
try: #can we get our hands on the file?
COMMON.ImportFile(_in,1) #set the file data
global Libs; __Libs=Libs #remember last session in case of a script error
Libs=[[],[],[],[],[["Def_Scene",[]]],[]] #reset the data for importing
print 'Converting from import format...'
try: #does the script contain any unfound errors?
__LOG('-- importing %s --\n'%_in.split('/')[-1])
i.ImportModel(it,None)
print 'Verifying data...'
glNewList(__MODEL_DATA, GL_COMPILE); __M(); glEndList()
glNewList(__BONE_DATA, GL_COMPILE); __B(); glEndList()
print 'Updating Viewer\n'
glutSetWindowTitle("Universal Model Converter v3.0a (dev5) - %s" % _in.split('/')[-1])
#export UMC session data
l=open('session.ses','w')
l.write(str([1,Libs]))
l.close()
COMMON.__ClearFiles() #clear the file data to be used for writing
except:
Libs=__Libs
print "Error! Check 'session-info.log' for more details.\n"
import traceback
typ,val,tb=sys.exc_info()#;tb=traceback.extract_tb(i[2])[0]
traceback.print_exception(
typ,val,tb#,
#limit=2,
#file=sys.stdout
)
print
__Libs=[] #save memory usage
except: pass #an error should already be thrown
__WLOG(0) #write log
COMMON.__CleanScripts() #remove pyc files
if key == chr(5): #export model
COMMON.__ClearFiles() #clear the file data again... just in case
etypenames,emodules,emodnames,ehandlers = [],[],[],[]; eftypes = []
for M,D,I in COMMON.__Scripts[0][1]:
if D[1] != ('',['']): #has model info
eftypes+=[(D[1][0],tuple(["*.%s"%T for T in D[1][1]]))]
for T in D[1][1]:
emodnames+=[D[1][0]]
etypenames+=[T]
emodules+=[M]
ehandlers+=[I]
#Tkinter dialog (will be replaced)
#-----
_en=asksaveasfilename(title='Export Model', filetypes=eftypes, defaultextension='.ses')
#-----
if _en=='': pass
else:
COMMON.__functions=[0,0,0,0] #prevent unwanted initialization
#this block will change once I use my own dialog
#Tkinter doesn't return the filter ID
#-----
et = _en.split('.')[-1]
if etypenames.count(et)>1:
print '\nThis filetype is used by multiple scripts:\n'
scr = []
for idx,ft in enumerate(etypenames):
if ft==et: scr+=[[emodnames[idx],emodules[idx]]]
for I,NM in enumerate(scr): print ' %i - %s'%(I,NM[0])
print
sid=input('Please enter the script ID here: ')
e=__import__(scr[sid][1])
else:
e=__import__(emodules[etypenames.index(et)])
COMMON.__ReloadScripts() #check for valid changes to the scripts
#-----
'''
try:
COMMON.ExportFile(_en) #add the file to the data space
print 'converting to export format...'
e.ExportModel(et,None)
COMMON.__WriteFiles()
print 'Done!'
except:
print "Error! Check 'session-info.log' for details.\n"
'''
COMMON.ExportFile(_en) #add the file to the data space
print 'converting to export format...'
e.ExportModel(et,None)
COMMON.__WriteFiles()
print 'Refreshing Viewer\n'
#'''
__WLOG(_mode) #write log
COMMON.__CleanScripts() #remove pyc files
#//--//
#___________________________________________________________________________________________
def __SDLVResize(W,H, VMODE): #A limitation of SDL (the GL context also needs to be reset with the screen)
__pyg.display.set_mode((W,H), VMODE)
#DspInf = __pyg.display.Info()
#UI display lists:
global __TOP_GRID,__SIDE_GRID,__FRONT_GRID,__QUAD_FLOOR,__LINE_FLOOR,__MODEL_DATA,__BONE_DATA
def G(D):
__GL.glLineWidth(1.0)
GS=60; i0,i1 = (D+1 if D<2 else 0),(D-1 if D>0 else 2)
C1,C2,A1,A2,nA1,nA2=[0,0,0],[0,0,0],[0,0,0],[0,0,0],[0,0,0],[0,0,0]
C1[D],C2[i0]=1,1
A1[D],A2[i0]=GS,GS; nA1[D],nA2[i0]= -GS,-GS
S1,iS1=A1,A1;S2,iS2=A2,A2; nS1,niS1=nA1,nA1;nS2,niS2=nA2,nA2
__GL.glBegin(__GL.GL_LINES)
__GL.glColor3fv(C1);__GL.glVertex3f(A1[0],A1[1],A1[2]);__GL.glVertex3f(nA1[0],nA1[1],nA1[2])
__GL.glColor3fv(C2);__GL.glVertex3f(A2[0],A2[1],A2[2]);__GL.glVertex3f(nA2[0],nA2[1],nA2[2])
__GL.glColor3f(0.5,0.5,0.5)
s=0
while s < GS:
s+=10; S1[i0],nS1[i0],S2[D],nS2[D]=s,s,s,s
__GL.glVertex3f(S1[0],S1[1],S1[2]);__GL.glVertex3f(nS1[0],nS1[1],nS1[2])
__GL.glVertex3f(S2[0],S2[1],S2[2]);__GL.glVertex3f(nS2[0],nS2[1],nS2[2])
iS1[i0],niS1[i0],iS2[D],niS2[D]=-s,-s,-s,-s
__GL.glVertex3f(iS1[0],iS1[1],iS1[2]);__GL.glVertex3f(niS1[0],niS1[1],niS1[2])
__GL.glVertex3f(iS2[0],iS2[1],iS2[2]);__GL.glVertex3f(niS2[0],niS2[1],niS2[2])
__GL.glEnd()
def F(D):
__GL.glLineWidth(1.0)
def quad(p1,p2):
__GL.glVertex3f(p1+2.5,0,p2+2.5); __GL.glVertex3f(p1+2.5,0,p2-2.5)
__GL.glVertex3f(p1-2.5,0,p2-2.5); __GL.glVertex3f(p1-2.5,0,p2+2.5)
FS=40; clr=0.3125; p1=0
while p1 < FS:
clr=(0.3125 if clr==0.5 else 0.5); p2=0
while p2 < FS:
__GL.glColor3f(clr,clr,clr)
if D: #draw lines so you can actually see the floor
__GL.glBegin(__GL.GL_LINE_LOOP); quad(p1,p2); __GL.glEnd()
__GL.glBegin(__GL.GL_LINE_LOOP); quad(p1,-p2); __GL.glEnd()
__GL.glBegin(__GL.GL_LINE_LOOP); quad(-p1,-p2); __GL.glEnd()
__GL.glBegin(__GL.GL_LINE_LOOP); quad(-p1,p2); __GL.glEnd()
#TODO: this draws lines for every quad instead of just the outside quads
#^a performance killer >_>
else:
__GL.glBegin(__GL.GL_QUADS)
quad(p1,p2); quad(p1,-p2)
quad(-p1,p2); quad(-p1,-p2)
__GL.glEnd()
p2+=5; clr=(0.3125 if clr==0.5 else 0.5)
p1+=5
__FRONT_GRID = __GL.glGenLists(1); __GL.glNewList(__FRONT_GRID, __GL.GL_COMPILE); G(2); __GL.glEndList()
__SIDE_GRID = __GL.glGenLists(1); __GL.glNewList(__SIDE_GRID, __GL.GL_COMPILE); G(1); __GL.glEndList()
__TOP_GRID = __GL.glGenLists(1); __GL.glNewList(__TOP_GRID, __GL.GL_COMPILE); G(0); __GL.glEndList()
__QUAD_FLOOR = __GL.glGenLists(1); __GL.glNewList(__QUAD_FLOOR, __GL.GL_COMPILE); F(0); __GL.glEndList()
__LINE_FLOOR = __GL.glGenLists(1); __GL.glNewList(__LINE_FLOOR, __GL.GL_COMPILE); F(1); __GL.glEndList()
__MODEL_DATA = __GL.glGenLists(1); __BONE_DATA = __GL.glGenLists(1)
__GL.glClearColor(0.13, 0.13, 0.13, 1.0)
__GL.glClearDepth(1.0)
#TODO: need to manage these more efficiently:
__GL.glEnable(__GL.GL_DEPTH_TEST)
__GL.glDepthFunc(__GL.GL_LEQUAL)
__GL.glEnable(__GL.GL_LIGHTING)
__GL.glEnable(__GL.GL_LIGHT0)
__GL.glEnable(__GL.GL_NORMALIZE) #scale normals when model is scaled
__GL.glDisable(__GL.GL_BLEND) #disabled for models
__GL.glBlendFunc(__GL.GL_SRC_ALPHA, __GL.GL_ONE_MINUS_SRC_ALPHA)
__GL.glShadeModel(__GL.GL_SMOOTH)
#__GUI.__ResizeGUI(W,H)
def Init():
VIDEOMODE = OPENGL|DOUBLEBUF|RESIZABLE
#VIDEOMODE&=~RESIZABLE
__pyg.display.init()
icon = __pyg.Surface((1,1)); icon.set_alpha(255)
__pyg.display.set_icon(icon)
__pyg.display.set_caption("Universal Model Converter v3.0a (dev5)")
global width,height
__SDLVResize(width,height, VIDEOMODE)
__pyg.joystick.init()
joy = [__pyg.joystick.Joystick(j) for j in range(__pyg.joystick.get_count())]
for j in joy: j.init()
#__GUI.__initGUI()
global W,H; LW,LH=W,H #restored screen size (coming from full-screen)
global TOGGLE_FULLSCREEN,TOGGLE_LIGHTING,TOGGLE_GRID,TOGGLE_WIREFRAME,TOGGLE_BONES,TOGGLE_3D,TOGGLE_ORTHO
MODS=0 #Modifier keys (global use) [ Alt(4)[0b100] | Ctrl(2)[0b10] | Shift(1)[0b1] ]
__lastRot = __AB.Matrix3fT() #last updated rotation (ArcBall view rotation)
O = 0.025 # eye translation offset
EYE=None #3D L or R EYE (for Shutter method)
while True:
'''
line=0
for axis in range(GCNJS.get_numaxes()):
#sys.stdout.write("axis%i: %s\n"%(axis,str(GCNJS.get_axis(axis))))
GCNJS.get_axis(axis)
line+=1
for hat in range(GCNJS.get_numhats()):
#sys.stdout.write("hat%i: %s\n"%(hat,str(GCNJS.get_hat(hat))))
GCNJS.get_hat(hat)
line+=1
for button in range(GCNJS.get_numbuttons()):
#sys.stdout.write("button%i: %s\n"%(button,str(GCNJS.get_button(button))))
GCNJS.get_button(button)
line+=1
#sys.stdout.write('%s'%('\r'*line))
'''
for i,e in enumerate(__pyg.event.get()):
if e.type == QUIT: __pyg.display.quit(); return None #VIEWER.init() >>> None
if e.type == ACTIVEEVENT: pass #e.gain; e.state
if e.type == KEYDOWN: #e.key; e.mod
#__GUI.__KeyPress(e.key)
if e.key==K_RSHIFT or e.key==K_LSHIFT: MODS|=0b001
if e.key==K_RCTRL or e.key==K_LCTRL: MODS|=0b010
if e.key==K_RALT or e.key==K_LALT: MODS|=0b100
if e.key not in [K_RSHIFT,K_LSHIFT,K_RCTRL,K_LCTRL,K_RALT,K_LALT]:
TOGGLE_GRID=(2 if TOGGLE_GRID<3 else TOGGLE_GRID) #don't let MODS affect the grid
if e.key==K_KP5:
#__GUI.Widgets['Projection'].info[0]=[1,0][#__GUI.Widgets['Projection'].info[0]] #change widget state
#TOGGLE_ORTHO = __GUI.Widgets['Projection'].info[0] #verify TOGGLE_ORTHO if panel is closed
TOGGLE_ORTHO = 0 if TOGGLE_ORTHO else 1
if e.key==K_KP9: #reset the view
if MODS==0:
__viewMatrix.mtxrotate(__AB.Matrix3fT()) #rotation
__viewMatrix.rotate(10.0,350.0,0.0)
elif MODS&0b001: __viewMatrix.X=0.0;__viewMatrix.Y=0.0;__viewMatrix.Z=0.0 #translation
elif MODS&0b010: __viewMatrix._scale=0.1 #scale
elif MODS&0b100: __viewMatrix.reset() #everything
if e.key==K_KP8: #rotate/translate U
if MODS&0b001: __viewMatrix.translate(0.0,-0.25,0.0)
else: __viewMatrix.rotate(5.0,0.0,0.0)
if e.key==K_KP2: #rotate/translate D
if MODS&0b001: __viewMatrix.translate(0.0,0.25,0.0)
else: __viewMatrix.rotate(-5.0,0.0,0.0)
if e.key==K_KP4: #rotate/translate L
if MODS&0b001: __viewMatrix.translate(0.25,0.0,0.0)
else: __viewMatrix.rotate(0.0,5.0,0.0)
if e.key==K_KP6: #rotate/translate R
if MODS&0b001: __viewMatrix.translate(-0.25,0.0,0.0)
else: __viewMatrix.rotate(0.0,-5.0,0.0)
#//--// kept as an added option
if e.key==K_KP_PLUS: __viewMatrix.scale(1.1)
if e.key==K_KP_MINUS: __viewMatrix.scale(1/1.1)
#//--//
if e.key==K_KP1: #front view
TOGGLE_GRID=(0 if TOGGLE_GRID<3 else TOGGLE_GRID)
__viewMatrix.mtxrotate(__AB.Matrix3fT()) #reset the rotation using a minor bug
if MODS&0b010: __viewMatrix.rotate(0.0,180.0,0.0) #back View
if e.key==K_KP3:
TOGGLE_GRID=(1 if TOGGLE_GRID<3 else TOGGLE_GRID)
__viewMatrix.mtxrotate(__AB.Matrix3fT()) #reset the rotation
if MODS&0b010: __viewMatrix.rotate(0.0,90.0,0.0) #right-side View
else: __viewMatrix.rotate(0.0,-90.0,0.0) #left-side view
if e.key==K_KP7:
TOGGLE_GRID=(2 if TOGGLE_GRID<3 else TOGGLE_GRID)
__viewMatrix.mtxrotate(__AB.Matrix3fT()) #reset the rotation
if MODS&0b010: __viewMatrix.rotate(-90.0,0.0,0.0) #bottom View
else: __viewMatrix.rotate(90.0,0.0,0.0) #top view
if e.key==K_ESCAPE:
if TOGGLE_FULLSCREEN:
TOGGLE_FULLSCREEN=0
VIDEOMODE&=~FULLSCREEN
VIDEOMODE|=RESIZABLE
W,H = LW,LH
else:
TOGGLE_FULLSCREEN=1
VIDEOMODE&=~RESIZABLE
VIDEOMODE|=FULLSCREEN
LW,LH=W,H; W,H = 1280,1024
__SDLVResize(W,H, VIDEOMODE)
__abt.setBounds(W,H)
if e.type == KEYUP: #e.key; e.mod
#__GUI.__KeyRelease(e.key)
if e.key==K_RSHIFT or e.key==K_LSHIFT: MODS&=0b110
if e.key==K_RCTRL or e.key==K_LCTRL: MODS&=0b101
if e.key==K_RALT or e.key==K_LALT: MODS&=0b011
if e.type == MOUSEBUTTONDOWN: #e.pos; e.button
x,y=e.pos
#__GUI.__Click(e.button,(1./W)*x,(1./H)*y) #GUI
if e.button==2:
__lastRot=__viewMatrix.RotMtx
__abt.click(__AB.Point2fT(x,y))
else: __lastRot=__viewMatrix.RotMtx
if e.button==4:
if MODS==0: __viewMatrix.scale(1.1)
elif MODS&0b001: __viewMatrix.translate(0.0,0.25,0.0) #translate Y
elif MODS&0b010: __viewMatrix.translate(0.25,0.0,0.0) #translate X
elif e.button==5:
if MODS==0: __viewMatrix.scale(1/1.1)
elif MODS&0b001: __viewMatrix.translate(0.0,-0.25,0.0) #translate Y
elif MODS&0b010: __viewMatrix.translate(-0.25,0.0,0.0) #translate X
if e.type == MOUSEBUTTONUP: #e.pos; e.button
x,y=e.pos
#__GUI.__Release(e.button,(1./W)*x,(1./H)*y)
if e.button==2: __lastRot=__viewMatrix.RotMtx
if e.type == MOUSEMOTION: #e.pos; e.rel; e.buttons
x,y = e.pos; rx,ry = e.rel
#__GUI.__Motion(e.buttons,x,y,rx,ry) #GUI
if e.buttons[1]: #MMB view rotation (like blender24)
if MODS&0b001:
s = __viewMatrix._scale
tx = ((1./W)*rx)/s
ty = ((1./H)*-ry)/s
__viewMatrix.translate(tx,ty,0.0)
elif MODS&0b010:
s = ry
__viewMatrix.scale(s)
else:
__viewMatrix.mtxrotate(
__AB.Matrix3fMulMatrix3f(
__lastRot, #get our previous view rot matrix
__AB.Matrix3fSetRotationFromQuat4f(__abt.drag(__AB.Point2fT(x,y))) #get a rot matrix from the mouse position
) #multiply the matrices
) #update the view matrix with the new rotation
if TOGGLE_GRID<3 and TOGGLE_GRID!=2: TOGGLE_GRID=2
if e.type == JOYAXISMOTION: #e.joy; e.axis; e.value
pass #print 'Joy:',e.joy, ', Axis:',e.axis, ', Value:',e.value
if e.type == JOYBALLMOTION: pass #e.joy; e.ball; e.rel
if e.type == JOYHATMOTION: #e.joy; e.hat; e.value
pass #print 'Joy:',e.joy, ', Hat:',e.hat, ', Value:',e.value
if e.type == JOYBUTTONDOWN: #e.joy; e.button
pass #print 'Joy:',e.joy, ', Button:',e.button
if e.type == JOYBUTTONUP: pass #e.joy; e.button
if e.type == VIDEORESIZE: #e.size; e.w; e.h
_w,_h = e.size
if _w+_h>0 and _h>0:
W,H=_w,_h
__SDLVResize(W,H, VIDEOMODE)
__abt.setBounds(W,H)
if e.type == VIDEOEXPOSE: pass
if e.type == USEREVENT: pass #e.code
#Display:
__GL.glViewport(0, 0, W, H)
__GL.glMatrixMode(__GL.GL_MODELVIEW)
__GL.glLoadIdentity()
__GL.glClear(__GL.GL_COLOR_BUFFER_BIT|__GL.GL_DEPTH_BUFFER_BIT)
__GL.glPushMatrix()
__GL.glLightfv(__GL.GL_LIGHT0, __GL.GL_POSITION, ( 1.5, 1.5, 2.0, 0.0 ))
__GL.glPolygonMode(__GL.GL_FRONT_AND_BACK,(__GL.GL_LINE if TOGGLE_WIREFRAME else __GL.GL_FILL))
if TOGGLE_3D==1: #Analglyph
__GL.glDrawBuffer( __GL.GL_BACK_LEFT ) #not really sure why this is needed,
#but the code doesn't work if removed...
#L Eye (2 colors)
if TOGGLE_3D_MODE[0]==0: __GL.glColorMask( 1,0,0,1 )
elif TOGGLE_3D_MODE[0]==1: __GL.glColorMask( 0,1,0,1 )
elif TOGGLE_3D_MODE[0]==2: __GL.glColorMask( 0,0,1,1 )
__GL.glClear( __GL.GL_COLOR_BUFFER_BIT | __GL.GL_DEPTH_BUFFER_BIT )
__GL.glLoadIdentity(); __GL.glTranslate(O,0.0,0.0)
__Draw_Scene()
#R Eye (1 color)
if TOGGLE_3D_MODE[0]==0: __GL.glColorMask( 0,1,1,1 ) #doesn't overlay
if TOGGLE_3D_MODE[0]==1: __GL.glColorMask( 1,0,1,1 )
if TOGGLE_3D_MODE[0]==2: __GL.glColorMask( 1,1,0,1 )
__GL.glClear( __GL.GL_DEPTH_BUFFER_BIT )
__GL.glLoadIdentity(); __GL.glTranslate(-O*2,0.0,0.0)
__Draw_Scene()
__GL.glColorMask( 1,1,1,1 ) #restore the color mask for later drawing
elif TOGGLE_3D==2: #Shutter (need a better method than simply rotating between frames)
#does not require quad-buffered hardware. (I might add error-detection-support for this later)
#... if your machine supports this, it should greatly improve visual performance quality ;)
EYE=(-O if EYE==O else O)
__viewMatrix.translate(EYE,0.0,0.0)
__Draw_Scene()
else: __Draw_Scene() #no 3D display
__GL.glPopMatrix()
#__GUI.__DrawGUI(__viewMatrix.getaxismtx())
__GL.glMatrixMode(__GL.GL_PROJECTION)
__GL.glLoadIdentity()
P=float(W)/float(H)
if TOGGLE_ORTHO: __GL.glOrtho(-2*P, 2*P, -2, 2, -100, 100)
else: __GLU.gluPerspective(43.6025, P, 1, 100.0); __GLU.gluLookAt(0.0, 0.0, 5.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0)
#gluLookAt( eyex, eyey, eyez, centerx, centery, centerz, upx, upy, upz)
#glOrtho(GLdouble left, GLdouble right, GLdouble bottom, GLdouble top, GLdouble near, GLdouble far)
#glFrustum(GLdouble left, GLdouble right, GLdouble bottom, GLdouble top, GLdouble near, GLdouble far)
#gluPerspective(GLdouble fovy, GLdouble aspect, GLdouble near, GLdouble far)
__pyg.display.flip()
Init() | {
"repo_name": "Universal-Model-Converter/UMC3.0a",
"path": "dev tests and files/data (scrapped dev5 attempt)/VIEWER.py",
"copies": "1",
"size": "38649",
"license": "mit",
"hash": -388916875545100900,
"line_mean": 44.4171562867,
"line_max": 223,
"alpha_frac": 0.5161323708,
"autogenerated": false,
"ratio": 2.877168167944614,
"config_test": false,
"has_no_keywords": false,
"few_assignments": false,
"quality_score": 0.38933005387446135,
"avg_score": null,
"num_lines": null
} |
#1
#v 0.001
import sys; #sys.path.append('data')
import COMMON
#TODO: remove:
from OpenGL.GL import *
from OpenGL.GLU import *
from OpenGL import GL as __GL, GLU as __GLU
import Python.ArcBall as __AB, pygame as __pyg
from pygame.locals import * #TODO: localize
from tkFileDialog import askopenfilename,asksaveasfilename
from LOGGING import LOG as __LOG, WRITE_LOG as __WLOG #will be moved to GUI
import GUI as __GUI
import FORMAT as __FORMAT
global Libs; Libs=[ [], # Reserved
[], # Reserved
[["UMC_Def_Scene",[]]], # Scenes
[], # Objects
[], # Materials
[], # Material Add-ins
[], # Textures
[]] # Images
#toggles
TOGGLE_FULLSCREEN=0
TOGGLE_ORTHO=True
TOGGLE_LIGHTING=1
TOGGLE_3D=0
TOGGLE_3D_MODE=[0,0]
TOGGLE_WIREFRAME=0
TOGGLE_BONES=1
TOGGLE_GRID=2
TOGGLE_NORMALS=0
#TOGGLE_REDRAW=False
#display list definition variables:
global __TOP_GRID,__SIDE_GRID,__FRONT_GRID,\
__QUAD_FLOOR,__LINE_FLOOR,\
__MODEL_DATA,__NORMAL_DATA,__BONE_DATA
#the bone data is seperate so it can be drawn over the model data (X-ray), or within the model data
#(specified by clearing the depth buffer before drawing the bones)
#local usage:
width,height = 800.,600.
W,H = 800.,600.;
__abt=__AB.ArcBallT(width,height)
#copied from COMMON cause this doesn't exist in COMMON 9_9
def MtxInvert(Mtx):
det = Mtx[0][3]*Mtx[1][2]*Mtx[2][1]*Mtx[3][0] - Mtx[0][2]*Mtx[1][3]*Mtx[2][1]*Mtx[3][0] - \
Mtx[0][3]*Mtx[1][1]*Mtx[2][2]*Mtx[3][0] + Mtx[0][1]*Mtx[1][3]*Mtx[2][2]*Mtx[3][0] + \
Mtx[0][2]*Mtx[1][1]*Mtx[2][3]*Mtx[3][0] - Mtx[0][1]*Mtx[1][2]*Mtx[2][3]*Mtx[3][0] - \
Mtx[0][3]*Mtx[1][2]*Mtx[2][0]*Mtx[3][1] + Mtx[0][2]*Mtx[1][3]*Mtx[2][0]*Mtx[3][1] + \
Mtx[0][3]*Mtx[1][0]*Mtx[2][2]*Mtx[3][1] - Mtx[0][0]*Mtx[1][3]*Mtx[2][2]*Mtx[3][1] - \
Mtx[0][2]*Mtx[1][0]*Mtx[2][3]*Mtx[3][1] + Mtx[0][0]*Mtx[1][2]*Mtx[2][3]*Mtx[3][1] + \
Mtx[0][3]*Mtx[1][1]*Mtx[2][0]*Mtx[3][2] - Mtx[0][1]*Mtx[1][3]*Mtx[2][0]*Mtx[3][2] - \
Mtx[0][3]*Mtx[1][0]*Mtx[2][1]*Mtx[3][2] + Mtx[0][0]*Mtx[1][3]*Mtx[2][1]*Mtx[3][2] + \
Mtx[0][1]*Mtx[1][0]*Mtx[2][3]*Mtx[3][2] - Mtx[0][0]*Mtx[1][1]*Mtx[2][3]*Mtx[3][2] - \
Mtx[0][2]*Mtx[1][1]*Mtx[2][0]*Mtx[3][3] + Mtx[0][1]*Mtx[1][2]*Mtx[2][0]*Mtx[3][3] + \
Mtx[0][2]*Mtx[1][0]*Mtx[2][1]*Mtx[3][3] - Mtx[0][0]*Mtx[1][2]*Mtx[2][1]*Mtx[3][3] - \
Mtx[0][1]*Mtx[1][0]*Mtx[2][2]*Mtx[3][3] + Mtx[0][0]*Mtx[1][1]*Mtx[2][2]*Mtx[3][3]
return[[( Mtx[1][2]*Mtx[2][3]*Mtx[3][1] - Mtx[1][3]*Mtx[2][2]*Mtx[3][1] + Mtx[1][3]*Mtx[2][1]*Mtx[3][2] - Mtx[1][1]*Mtx[2][3]*Mtx[3][2] - Mtx[1][2]*Mtx[2][1]*Mtx[3][3] + Mtx[1][1]*Mtx[2][2]*Mtx[3][3]) /det,
( Mtx[0][3]*Mtx[2][2]*Mtx[3][1] - Mtx[0][2]*Mtx[2][3]*Mtx[3][1] - Mtx[0][3]*Mtx[2][1]*Mtx[3][2] + Mtx[0][1]*Mtx[2][3]*Mtx[3][2] + Mtx[0][2]*Mtx[2][1]*Mtx[3][3] - Mtx[0][1]*Mtx[2][2]*Mtx[3][3]) /det,
( Mtx[0][2]*Mtx[1][3]*Mtx[3][1] - Mtx[0][3]*Mtx[1][2]*Mtx[3][1] + Mtx[0][3]*Mtx[1][1]*Mtx[3][2] - Mtx[0][1]*Mtx[1][3]*Mtx[3][2] - Mtx[0][2]*Mtx[1][1]*Mtx[3][3] + Mtx[0][1]*Mtx[1][2]*Mtx[3][3]) /det,
( Mtx[0][3]*Mtx[1][2]*Mtx[2][1] - Mtx[0][2]*Mtx[1][3]*Mtx[2][1] - Mtx[0][3]*Mtx[1][1]*Mtx[2][2] + Mtx[0][1]*Mtx[1][3]*Mtx[2][2] + Mtx[0][2]*Mtx[1][1]*Mtx[2][3] - Mtx[0][1]*Mtx[1][2]*Mtx[2][3]) /det],
[( Mtx[1][3]*Mtx[2][2]*Mtx[3][0] - Mtx[1][2]*Mtx[2][3]*Mtx[3][0] - Mtx[1][3]*Mtx[2][0]*Mtx[3][2] + Mtx[1][0]*Mtx[2][3]*Mtx[3][2] + Mtx[1][2]*Mtx[2][0]*Mtx[3][3] - Mtx[1][0]*Mtx[2][2]*Mtx[3][3]) /det,
( Mtx[0][2]*Mtx[2][3]*Mtx[3][0] - Mtx[0][3]*Mtx[2][2]*Mtx[3][0] + Mtx[0][3]*Mtx[2][0]*Mtx[3][2] - Mtx[0][0]*Mtx[2][3]*Mtx[3][2] - Mtx[0][2]*Mtx[2][0]*Mtx[3][3] + Mtx[0][0]*Mtx[2][2]*Mtx[3][3]) /det,
( Mtx[0][3]*Mtx[1][2]*Mtx[3][0] - Mtx[0][2]*Mtx[1][3]*Mtx[3][0] - Mtx[0][3]*Mtx[1][0]*Mtx[3][2] + Mtx[0][0]*Mtx[1][3]*Mtx[3][2] + Mtx[0][2]*Mtx[1][0]*Mtx[3][3] - Mtx[0][0]*Mtx[1][2]*Mtx[3][3]) /det,
( Mtx[0][2]*Mtx[1][3]*Mtx[2][0] - Mtx[0][3]*Mtx[1][2]*Mtx[2][0] + Mtx[0][3]*Mtx[1][0]*Mtx[2][2] - Mtx[0][0]*Mtx[1][3]*Mtx[2][2] - Mtx[0][2]*Mtx[1][0]*Mtx[2][3] + Mtx[0][0]*Mtx[1][2]*Mtx[2][3]) /det],
[( Mtx[1][1]*Mtx[2][3]*Mtx[3][0] - Mtx[1][3]*Mtx[2][1]*Mtx[3][0] + Mtx[1][3]*Mtx[2][0]*Mtx[3][1] - Mtx[1][0]*Mtx[2][3]*Mtx[3][1] - Mtx[1][1]*Mtx[2][0]*Mtx[3][3] + Mtx[1][0]*Mtx[2][1]*Mtx[3][3]) /det,
( Mtx[0][3]*Mtx[2][1]*Mtx[3][0] - Mtx[0][1]*Mtx[2][3]*Mtx[3][0] - Mtx[0][3]*Mtx[2][0]*Mtx[3][1] + Mtx[0][0]*Mtx[2][3]*Mtx[3][1] + Mtx[0][1]*Mtx[2][0]*Mtx[3][3] - Mtx[0][0]*Mtx[2][1]*Mtx[3][3]) /det,
( Mtx[0][1]*Mtx[1][3]*Mtx[3][0] - Mtx[0][3]*Mtx[1][1]*Mtx[3][0] + Mtx[0][3]*Mtx[1][0]*Mtx[3][1] - Mtx[0][0]*Mtx[1][3]*Mtx[3][1] - Mtx[0][1]*Mtx[1][0]*Mtx[3][3] + Mtx[0][0]*Mtx[1][1]*Mtx[3][3]) /det,
( Mtx[0][3]*Mtx[1][1]*Mtx[2][0] - Mtx[0][1]*Mtx[1][3]*Mtx[2][0] - Mtx[0][3]*Mtx[1][0]*Mtx[2][1] + Mtx[0][0]*Mtx[1][3]*Mtx[2][1] + Mtx[0][1]*Mtx[1][0]*Mtx[2][3] - Mtx[0][0]*Mtx[1][1]*Mtx[2][3]) /det],
[( Mtx[1][2]*Mtx[2][1]*Mtx[3][0] - Mtx[1][1]*Mtx[2][2]*Mtx[3][0] - Mtx[1][2]*Mtx[2][0]*Mtx[3][1] + Mtx[1][0]*Mtx[2][2]*Mtx[3][1] + Mtx[1][1]*Mtx[2][0]*Mtx[3][2] - Mtx[1][0]*Mtx[2][1]*Mtx[3][2]) /det,
( Mtx[0][1]*Mtx[2][2]*Mtx[3][0] - Mtx[0][2]*Mtx[2][1]*Mtx[3][0] + Mtx[0][2]*Mtx[2][0]*Mtx[3][1] - Mtx[0][0]*Mtx[2][2]*Mtx[3][1] - Mtx[0][1]*Mtx[2][0]*Mtx[3][2] + Mtx[0][0]*Mtx[2][1]*Mtx[3][2]) /det,
( Mtx[0][2]*Mtx[1][1]*Mtx[3][0] - Mtx[0][1]*Mtx[1][2]*Mtx[3][0] - Mtx[0][2]*Mtx[1][0]*Mtx[3][1] + Mtx[0][0]*Mtx[1][2]*Mtx[3][1] + Mtx[0][1]*Mtx[1][0]*Mtx[3][2] - Mtx[0][0]*Mtx[1][1]*Mtx[3][2]) /det,
( Mtx[0][1]*Mtx[1][2]*Mtx[2][0] - Mtx[0][2]*Mtx[1][1]*Mtx[2][0] + Mtx[0][2]*Mtx[1][0]*Mtx[2][1] - Mtx[0][0]*Mtx[1][2]*Mtx[2][1] - Mtx[0][1]*Mtx[1][0]*Mtx[2][2] + Mtx[0][0]*Mtx[1][1]*Mtx[2][2]) /det]]
#Tcll5850: HOORAY! My very first working class in UMC. =D
#this class deals with the matrix applied to the model-view transformation
class __viewMatrixclass():
def __init__(self):
#[SX, RZ,-RY, 0
#-RZ, SY, RX, 0
# RY,-RX, SZ, 0
# TX, TY, TZ, 1]
import Python.ArcBall as __AB #TODO: use global import
self.__ID33=__AB.Matrix3fT
self.__ID44=__AB.Matrix4fT
self.reset()
def reset(self): #called by key 9
self.X,self.Y,self.Z=0.0,0.0,0.0
self.RotMtx=self.__ID33()
self._scale=0.1
self.rotate(10.0,350.0,0.0)
#keeping this here for reference (when needed),
#since this works flawlessly for matrix (not view) transformation
'''
def translate(self,x,y,z): #matrix translation
self.Matrix[3][0]+=(self.Matrix[0][0]*x)+(self.Matrix[1][0]*y)+(self.Matrix[2][0]*z)
self.Matrix[3][1]+=(self.Matrix[0][1]*x)+(self.Matrix[1][1]*y)+(self.Matrix[2][1]*z)
self.Matrix[3][2]+=(self.Matrix[0][2]*x)+(self.Matrix[1][2]*y)+(self.Matrix[2][2]*z)
self.Matrix[3][3]+=(self.Matrix[0][3]*x)+(self.Matrix[1][3]*y)+(self.Matrix[2][3]*z)
#matrix rotation:
def __RotX(self,x): #rotate along X axis
from math import sin, cos, pi
cosx,sinx=cos(x/180.0*pi),sin(x/180.0*pi)
var1,var2=self.RotMtx[1][0],self.RotMtx[2][0]
self.RotMtx[1][0]=(var1*cosx) +(var2*sinx)
self.RotMtx[2][0]=(var1*-sinx)+(var2*cosx)
var1,var2=self.RotMtx[1][1],self.RotMtx[2][1]
self.RotMtx[1][1]=(var1*cosx) +(var2*sinx)
self.RotMtx[2][1]=(var1*-sinx)+(var2*cosx)
var1,var2=self.RotMtx[1][2],self.RotMtx[2][2]
self.RotMtx[1][2]=(var1*cosx) +(var2*sinx)
self.RotMtx[2][2]=(var1*-sinx)+(var2*cosx)
def __RotY(self,y): #rotate along Y axis
from math import sin, cos, pi
cosy,siny=cos(y/180.0*pi),sin(y/180.0*pi)
var1,var2=self.RotMtx[0][0],self.RotMtx[2][0]
self.RotMtx[0][0]=(var1*cosy)+(var2*-siny)
self.RotMtx[2][0]=(var1*siny)+(var2*cosy)
var1,var2=self.RotMtx[0][1],self.RotMtx[2][1]
self.RotMtx[0][1]=(var1*cosy)+(var2*-siny)
self.RotMtx[2][1]=(var1*siny)+(var2*cosy)
var1,var2=self.RotMtx[0][2],self.RotMtx[2][2]
self.RotMtx[0][2] =(var1*cosy)+(var2*-siny)
self.RotMtx[2][2]=(var1*siny)+(var2*cosy)
def __RotZ(self,z): #rotate along Z axis
from math import sin, cos, pi
cosz,sinz=cos(z/180.0*pi),sin(z/180.0*pi)
var1,var2=self.RotMtx[0][0],self.RotMtx[1][0]
self.RotMtx[0][0]=(var1*cosz) +(var2*sinz)
self.RotMtx[1][0]=(var1*-sinz)+(var2*cosz)
var1,var2=self.RotMtx[0][1],self.RotMtx[1][1]
self.RotMtx[0][1]=(var1*cosz) +(var2*sinz)
self.RotMtx[1][1]=(var1*-sinz)+(var2*cosz)
var1,var2=self.RotMtx[0][2],self.RotMtx[1][2]
self.RotMtx[0][2]=(var1*cosz) +(var2*sinz)
self.RotMtx[1][2]=(var1*-sinz)+(var2*cosz)
'''
def _getMtx(self):
mtx=self.__ID44()
#apply rotation
mtx[0][0]=self.RotMtx[0][0]
mtx[0][1]=self.RotMtx[0][1]
mtx[0][2]=self.RotMtx[0][2]
mtx[1][0]=self.RotMtx[1][0]
mtx[1][1]=self.RotMtx[1][1]
mtx[1][2]=self.RotMtx[1][2]
mtx[2][0]=self.RotMtx[2][0]
mtx[2][1]=self.RotMtx[2][1]
mtx[2][2]=self.RotMtx[2][2]
#apply rotation to translation and apply translation
#import COMMON #Tcll5850: yes I'm using UMC scripting functions... bite me
ir=MtxInvert(mtx) #inverse rotation
mtx[3][0]=(ir[0][0]*self.X)+(ir[0][1]*self.Y)+(ir[0][2]*self.Z)
mtx[3][1]=(ir[1][0]*self.X)+(ir[1][1]*self.Y)+(ir[1][2]*self.Z)
mtx[3][2]=(ir[2][0]*self.X)+(ir[2][1]*self.Y)+(ir[2][2]*self.Z)
#apply scale and return the result
mtx[0][0] *= self._scale; mtx[1][0] *= self._scale; mtx[2][0] *= self._scale
mtx[0][1] *= self._scale; mtx[1][1] *= self._scale; mtx[2][1] *= self._scale
mtx[0][2] *= self._scale; mtx[1][2] *= self._scale; mtx[2][2] *= self._scale
mtx[0][3] *= self._scale; mtx[1][3] *= self._scale; mtx[2][3] *= self._scale
mtx[3][0] *= self._scale; mtx[3][1] *= self._scale; mtx[3][2] *= self._scale
return mtx
def translate(self,x,y,z): #modify the matrix translation (from view)
X=(self.RotMtx[0][0]*x)+(self.RotMtx[0][1]*y)+(self.RotMtx[0][2]*z)
Y=(self.RotMtx[1][0]*x)+(self.RotMtx[1][1]*y)+(self.RotMtx[1][2]*z)
Z=(self.RotMtx[2][0]*x)+(self.RotMtx[2][1]*y)+(self.RotMtx[2][2]*z)
X/=self._scale; Y/=self._scale; Z/=self._scale
self.X+=X; self.Y+=Y; self.Z+=Z
def rotate(self,x=0.0,y=0.0,z=0.0): #modify the matrix rotation (from view)
from math import sin,cos,radians
import Python.ArcBall as __AB
cosx = cos(radians(x)); sinx = sin(radians(x))
cosy = cos(radians(y)); siny = sin(radians(y))
cosz = cos(radians(z)); sinz = sin(radians(z))
m = self.__ID33()
m[0][0] = cosy * cosz
m[0][1] = sinz * cosy
m[0][2] = -siny
m[1][0] = (sinx * cosz * siny - cosx * sinz)
m[1][1] = (sinx * sinz * siny + cosz * cosx)
m[1][2] = sinx * cosy;
m[2][0] = (sinx * sinz + cosx * cosz * siny)
m[2][1] = (cosx * sinz * siny - sinx * cosz)
m[2][2] = cosx * cosy
self.RotMtx = __AB.Matrix3fMulMatrix3f(self.RotMtx,m)
def mtxrotate(self,mtx33): #modify the matrix rotation (from view)
self.RotMtx=mtx33
def scale(self,s): #modify the matrix scale (applied to view when calling the main matrix)
self._scale*=s
def getaxismtx(self): #a transformation matrix designed specifically for the GUI axis display
rm=self.__ID44()
rm[0][0]=self.RotMtx[0][0]
rm[0][1]=self.RotMtx[0][1]*-1
rm[0][2]=self.RotMtx[0][2]
rm[1][0]=self.RotMtx[1][0]*-1
rm[1][1]=self.RotMtx[1][1]
rm[1][2]=self.RotMtx[1][2]*-1
rm[2][0]=self.RotMtx[2][0]
rm[2][1]=self.RotMtx[2][1]*-1
rm[2][2]=self.RotMtx[2][2]
return rm
__viewMatrix = __viewMatrixclass()
#all viewing transformations are applied to the view-matrix...
#this matrix is applied to the modelview matrix before drawing the models
#this saves performance since the calculations don't have to be recalculated for every frame
# however, calling __viewMatrix._getMtx() builds the matrix from internal eular values before returning it.
# (it's fast, but could be slightly faster (save the last matrix for re-use until updated))
def __if2f(i): return (i*0.003921568627450980392156862745098 if type(i)==int else i) #__if2f(255) >>> 1.0
from FORMAT import UMC_POINTS,UMC_LINES,UMC_LINESTRIP,UMC_LINELOOP,UMC_TRIANGLES,UMC_TRIANGLESTRIP,UMC_TRIANGLEFAN,UMC_QUADS,UMC_QUADSTRIP,UMC_POLYGON
__UMCGLPRIMITIVES = {
UMC_POINTS:__GL.GL_POINTS,
UMC_LINES:__GL.GL_LINES,
UMC_LINESTRIP:__GL.GL_LINE_STRIP,
UMC_LINELOOP:__GL.GL_LINE_LOOP,
UMC_TRIANGLES:__GL.GL_TRIANGLES,
UMC_TRIANGLESTRIP:__GL.GL_TRIANGLE_STRIP,
UMC_TRIANGLEFAN:__GL.GL_TRIANGLE_FAN,
UMC_QUADS:__GL.GL_QUADS,
UMC_QUADSTRIP:__GL.GL_QUAD_STRIP,
UMC_POLYGON:__GL.GL_POLYGON}
__GL_TEX = {}
def __M():
global Libs,__UMCGLPRIMITIVES,__GL_TEX,__MODEL_DATA
__GL.glEnable(__GL.GL_TEXTURE_2D)
__GL.glDeleteTextures(__GL_TEX.values())
__GL_TEX.clear()
#define textures here
__GL.glPixelStorei(__GL.GL_UNPACK_ALIGNMENT,1)
for ImageName,ImageW,ImageH,ImagePixels,ImageColors in Libs[7]:
image = bytearray()
if len(ImageColors)==0:
ImageFormat = len(ImagePixels[0])-1 #I, IA, RGB, or RGBA format
for IRAGBA in ImagePixels: image += bytearray(IRAGBA)
else:
ImageFormat = len(ImageColors[0])-1 #I, IA, RGB, or RGBA format
for I in ImagePixels: image += bytearray(ImageColors[I])
__GL_TEX[ImageName] = __GL.glGenTextures(1)
__GL.glBindTexture(__GL.GL_TEXTURE_2D, __GL_TEX[ImageName] )
__GL.glTexParameteri(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_MAG_FILTER, __GL.GL_LINEAR)
__GL.glTexParameteri(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_MIN_FILTER, __GL.GL_LINEAR)
_IFMT = [__GL.GL_RGB, __GL.GL_RGBA, __GL.GL_RGB, __GL.GL_RGBA][ImageFormat]
_PXFMT = [__GL.GL_LUMINANCE,__GL.GL_LUMINANCE_ALPHA,__GL.GL_RGB,__GL.GL_RGBA][ImageFormat]
__GL.glTexImage2D(__GL.GL_TEXTURE_2D, 0, _IFMT, ImageW, ImageH, 0, _PXFMT, __GL.GL_UNSIGNED_BYTE, str(image))
__GL.glDisable(__GL.GL_TEXTURE_2D)
#generate Model Display-List here
__MODEL_DATA = __GL.glGenLists(1)
__GL.glNewList(__MODEL_DATA, __GL.GL_COMPILE)
__GL.glColor3f(1.0,1.0,1.0)
for SceneName,SceneObjects in Libs[2]:
for ObjectID in SceneObjects:
ObjectName,ObjectViewport,ObjectLRS,ObjectSubData,ObjectParentID=Libs[3][ObjectID]
SubDataType,SubDataName,SubDataData1,SubDataData2=ObjectSubData
if SubDataType=="_Mesh":
__GL.glLineWidth(1.0)
MaterialName,MaterialTEVs,MaterialColors,MaterialTextures,R1,R2 = Libs[4][SubDataData1] if type(SubDataData1)==int else [
"UMC_Def_Mat", '', [[1.0,1.0,1.0,1.0],[1.0,1.0,1.0,1.0],[0.5,0.5,0.5,1.0],[0.0,0.0,0.0,0.0],25.0], [], [], []
]
MAR,MAG,MAB,MAA = MaterialColors[0] #Ambient
MDR,MDG,MDB,MDA = MaterialColors[1] #Diffuse
MSR,MSG,MSB,MSA = MaterialColors[2] #Specular
MER,MEG,MEB,MEA = MaterialColors[3] #Emmisive
MSV = MaterialColors[4] #Shininess
C0R,C0G,C0B,C0A= (MAR+MDR)/2,(MAG+MDG)/2,(MAB+MDB)/2,(MAA+MDA)/2
MeshVerts,MeshNormals,MeshColors,MeshUVs,MeshWeights,MeshPrimitives=SubDataData2
#call from pre-defined textures here
for TextureID in MaterialTextures:
TextureName,TextureParams,TextureEnvParams,TextureR1,TextureImageName,TextureR2 = Libs[6][TextureID]
# Apply Texture(s)
__GL.glBindTexture(__GL.GL_TEXTURE_2D, __GL_TEX[TextureImageName] )
'''
__GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_WRAP_S, __GL.GL_CLAMP)
__GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_WRAP_T, __GL.GL_CLAMP)
'''
__GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_WRAP_S, __GL.GL_REPEAT)
__GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_WRAP_T, __GL.GL_REPEAT)
#'''
#__GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_MAG_FILTER, __GL.GL_LINEAR)
#__GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_MIN_FILTER, __GL.GL_LINEAR)
break #only use the first for now
#notes:
#__GL.glTexEnvf(__GL.GL_TEXTURE_ENV, __GL.GL_TEXTURE_ENV_MODE, __GL.GL_MODULATE)
#__GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_DEPTH_STENCIL_TEXTURE_MODE,
# [__GL.GL_DEPTH_COMPONENT, __GL.GL_STENCIL_COMPONENT][T0])
#__GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_BASE_LEVEL, int(T1))
#__GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_BORDER_COLOR, [R,G,B,A])
#__GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_COMPARE_FUNC,
# [__GL.GL_CLAMP][T3])
#__GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_WRAP_S, __GL.GL_CLAMP)
#__GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_WRAP_S, __GL.GL_CLAMP)
#__GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_WRAP_S, __GL.GL_CLAMP)
#__GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_WRAP_S, __GL.GL_CLAMP)
#__GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_WRAP_S, __GL.GL_CLAMP)
#__GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_WRAP_S, __GL.GL_CLAMP)
#__GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_WRAP_S, __GL.GL_CLAMP)
#__GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_WRAP_S, __GL.GL_CLAMP)
#__GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_WRAP_S, __GL.GL_CLAMP)
#__GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_WRAP_S, __GL.GL_CLAMP)
#__GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_WRAP_S, __GL.GL_CLAMP)
#__GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_WRAP_S, __GL.GL_CLAMP)
#__GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_WRAP_S, __GL.GL_CLAMP)
#__GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_WRAP_S, __GL.GL_CLAMP)
#__GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_WRAP_S, __GL.GL_CLAMP)
#__GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_WRAP_S, __GL.GL_CLAMP)
#__GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_WRAP_S, __GL.GL_CLAMP)
#__GL.glTexParameterf(__GL.GL_TEXTURE_2D, __GL.GL_TEXTURE_WRAP_S, __GL.GL_CLAMP)
'''
glTexParameterf(
GL_TEXTURE_1D, GL_TEXTURE_2D, GL_TEXTURE_3D, GL_TEXTURE_1D_ARRAY,
GL_TEXTURE_2D_ARRAY, GL_TEXTURE_RECTANGLE, GL_TEXTURE_CUBE_MAP
,
GL_DEPTH_STENCIL_TEXTURE_MODE, GL_TEXTURE_BASE_LEVEL, GL_TEXTURE_BORDER_COLOR,
GL_TEXTURE_COMPARE_FUNC, GL_TEXTURE_COMPARE_MODE, GL_TEXTURE_LOD_BIAS,
GL_TEXTURE_MIN_FILTER, GL_TEXTURE_MAG_FILTER, GL_TEXTURE_MIN_LOD,
GL_TEXTURE_MAX_LOD, GL_TEXTURE_MAX_LEVEL, GL_TEXTURE_SWIZZLE_R,
GL_TEXTURE_SWIZZLE_G, GL_TEXTURE_SWIZZLE_B, GL_TEXTURE_SWIZZLE_A,
GL_TEXTURE_SWIZZLE_RGBA, GL_TEXTURE_WRAP_S, GL_TEXTURE_WRAP_T, GL_TEXTURE_WRAP_R
,
GL_DEPTH_STENCIL_TEXTURE_MODE: GL_DEPTH_COMPONENT, GL_STENCIL_COMPONENT
GL_TEXTURE_BASE_LEVEL: int(MipMap)
GL_TEXTURE_BORDER_COLOR: [R,G,B,A]
GL_TEXTURE_COMPARE_FUNC: GL_LEQUAL, GL_GEQUAL, GL_LESS, GL_GREATER,
GL_EQUAL, GL_NOTEQUAL, GL_ALWAYS, GL_NEVER
#NOTE: GL_TEXTURE_COMPARE_MODE = GL_COMPARE_REF_TO_TEXTURE
GL_TEXTURE_COMPARE_MODE: GL_COMPARE_REF_TO_TEXTURE, GL_NONE
GL_TEXTURE_LOD_BIAS: float(Bias)
GL_TEXTURE_MIN_FILTER: GL_NEAREST, GL_LINEAR, GL_NEAREST_MIPMAP_NEAREST
GL_LINEAR_MIPMAP_NEAREST, GL_NEAREST_MIPMAP_LINEAR, GL_LINEAR_MIPMAP_LINEAR
GL_TEXTURE_MAG_FILTER: GL_NEAREST, GL_LINEAR
GL_TEXTURE_MIN_LOD: -1000
GL_TEXTURE_MAX_LOD: 1000
GL_TEXTURE_MAX_LEVEL: 1000
GL_TEXTURE_SWIZZLE_R: GL_RED, GL_GREEN, GL_BLUE, GL_ALPHA, GL_ZERO, GL_ONE
GL_TEXTURE_SWIZZLE_G: GL_RED, GL_GREEN, GL_BLUE, GL_ALPHA, GL_ZERO, GL_ONE
GL_TEXTURE_SWIZZLE_B: GL_RED, GL_GREEN, GL_BLUE, GL_ALPHA, GL_ZERO, GL_ONE
GL_TEXTURE_SWIZZLE_A: GL_RED, GL_GREEN, GL_BLUE, GL_ALPHA, GL_ZERO, GL_ONE
GL_TEXTURE_SWIZZLE_RGBA: GL_RED, GL_GREEN, GL_BLUE, GL_ALPHA, GL_ZERO, GL_ONE
GL_TEXTURE_WRAP_S: GL_CLAMP_TO_EDGE, GL_CLAMP_TO_BORDER, GL_MIRRORED_REPEAT,
GL_REPEAT, GL_MIRROR_CLAMP_TO_EDGE
GL_TEXTURE_WRAP_T: GL_CLAMP_TO_EDGE, GL_CLAMP_TO_BORDER, GL_MIRRORED_REPEAT,
GL_REPEAT, GL_MIRROR_CLAMP_TO_EDGE
GL_TEXTURE_WRAP_R: GL_CLAMP_TO_EDGE, GL_CLAMP_TO_BORDER, GL_MIRRORED_REPEAT,
GL_REPEAT, GL_MIRROR_CLAMP_TO_EDGE
)
glTexEnvf(
GL_TEXTURE_ENV, GL_POINT_SPRITE_OES
,
GL_TEXTURE_ENV_MODE, GL_COMBINE_RGB, GL_COMBINE_ALPHA,
GL_SRC0_RGB, GL_SRC1_RGB, GL_SRC2_RGB,
GL_SRC0_ALPHA, GL_SRC1_ALPHA, GL_SRC2_ALPHA,
GL_OPERAND0_RGB, GL_OPERAND1_RGB, GL_OPERAND2_RGB,
GL_OPERAND0_ALPHA, GL_OPERAND1_ALPHA, GL_OPERAND2_ALPHA,
GL_RGB_SCALE, GL_ALPHA_SCALE, GL_COORD_REPLACE_OES
,
GL_ADD, GL_ADD_SIGNED, GL_DOT3_RGB, GL_DOT3_RGBA,
GL_INTERPOLATE, GL_MODULATE, GL_DECAL, GL_BLEND,
GL_REPLACE, GL_SUBTRACT, GL_COMBINE, GL_TEXTURE,
GL_CONSTANT, GL_PRIMARY_COLOR, GL_PREVIOUS, GL_SRC_COLOR,
GL_ONE_MINUS_SRC_COLOR, GL_SRC_ALPHA, GL_ONE_MINUS_SRC_ALPHA,
(a single boolean value for the point sprite texture coordinate replacement,
or 1.0, 2.0, or 4.0 when specifying the GL_RGB_SCALE or GL_ALPHA_SCALE)
)
'''
LC0,LC1=[0,0,0,0],[0,0,0,0] #Remember last used colors (starts at transparent black)
for Primitive,Facepoints in MeshPrimitives:
__GL.glBegin(__UMCGLPRIMITIVES[Primitive])
for V,N,(C0,C1),(U0,U1,U2,U3,U4,U5,U6,U7) in Facepoints:
try:
if U0!='': __GL.glMultiTexCoord2f(__GL.GL_TEXTURE0,MeshUVs[0][U0][0],MeshUVs[0][U0][1])
#if U1!='': glMultiTexCoord2f(GL_TEXTURE1,Fl(UVs[1][U1][0]),Fl(UVs[1][U1][1]))
#if U2!='': glMultiTexCoord2f(GL_TEXTURE2,Fl(UVs[2][U2][0]),Fl(UVs[2][U2][1]))
#if U3!='': glMultiTexCoord2f(GL_TEXTURE3,Fl(UVs[3][U3][0]),Fl(UVs[3][U3][1]))
#if U4!='': glMultiTexCoord2f(GL_TEXTURE4,Fl(UVs[4][U4][0]),Fl(UVs[4][U4][1]))
#if U5!='': glMultiTexCoord2f(GL_TEXTURE5,Fl(UVs[5][U5][0]),Fl(UVs[5][U5][1]))
#if U6!='': glMultiTexCoord2f(GL_TEXTURE6,Fl(UVs[6][U6][0]),Fl(UVs[6][U6][1]))
#if U7!='': glMultiTexCoord2f(GL_TEXTURE7,Fl(UVs[7][U7][0]),Fl(UVs[7][U7][1]))
#max texture is 31
except: #TODO: note UV display error
pass
if C0!='': #IRAGBA format
C0L=len(MeshColors[0][C0])
C0R,C0G,C0B,C0A=[__if2f(MeshColors[0][C0][0]),
__if2f(MeshColors[0][C0][1]) if C0L>2 else __if2f(MeshColors[0][C0][0]),
__if2f(MeshColors[0][C0][2]) if C0L>2 else __if2f(MeshColors[0][C0][0]),
__if2f(MeshColors[0][C0][3]) if C0L==4 else (__if2f(MeshColors[0][C0][1]) if C0L==2 else 1.0)]
__GL.glColor4f((MAR+MDR+C0R)/3,(MAG+MDG+C0G)/3,(MAB+MDB+C0B)/3,(MAA+MDA+C0A)/3)
if C1!='': #IRAGBA format
C1L=len(MeshColors[1][C1])
C1R,C1G,C1B,C1A=[__if2f(MeshColors[1][C1][0]),
__if2f(MeshColors[1][C1][1]) if C1L>2 else __if2f(MeshColors[1][C1][0]),
__if2f(MeshColors[1][C1][2]) if C1L>2 else __if2f(MeshColors[1][C1][0]),
__if2f(MeshColors[1][C1][3]) if C1L==4 else (__if2f(MeshColors[1][C1][1]) if C1L==2 else 1.0)]
__GL.glSecondaryColor3f(C1R,C1G,C1B)
#Alpha is supported but not registered here (glSecondaryColor4f is not a registered function)
UpdateMat=0
if LC0!=[C0R,C0G,C0B,C0A]: UpdateMat=1; LC0=[C0R,C0G,C0B,C0A]
#if LC1!=[C1R,C1G,C1B,C1A]: UpdateMat=1; LC1=[C1R,C1G,C1B,C1A]
if UpdateMat:
__GL.glMaterialfv(__GL.GL_FRONT_AND_BACK, __GL.GL_AMBIENT, [(MAR+C0R)/2,(MAG+C0G)/2,(MAB+C0B)/2,(MAA+C0A)/2])
__GL.glMaterialfv(__GL.GL_FRONT_AND_BACK, __GL.GL_DIFFUSE, [(MDR+C0R)/2,(MDG+C0G)/2,(MDB+C0B)/2,(MDA+C0A)/2])
__GL.glMaterialfv(__GL.GL_FRONT_AND_BACK, __GL.GL_SPECULAR, [(MSR+C0R)/2,(MSG+C0G)/2,(MSB+C0B)/2,(MSA+C0A)/2])
#__GL.glMaterialfv(__GL.GL_FRONT_AND_BACK, __GL.GL_SPECULAR, [0,0,0,1])
__GL.glMaterialfv(__GL.GL_FRONT_AND_BACK, __GL.GL_EMISSION, [MER,MEG,MEB,MEA])
__GL.glMaterialf(__GL.GL_FRONT_AND_BACK, __GL.GL_SHININESS, MSV)
if N!='': __GL.glNormal3f(MeshNormals[N][0],MeshNormals[N][1],MeshNormals[N][2])
VL=len(MeshVerts[V])
VX,VY,VZ=MeshVerts[V]+([0.0] if VL==2 else [])
__GL.glVertex3f(VX,VY,VZ)
__GL.glEnd()
__GL.glEndList()
def __N():
global Libs,__UMCGLPRIMITIVES,__NORMAL_DATA
__NORMAL_DATA = __GL.glGenLists(1)
__GL.glNewList(__NORMAL_DATA, __GL.GL_COMPILE)
__GL.glLineWidth(1.0)
__GL.glColor3f(0,1,1)
for Name,Objects in Libs[2]:
for ID in Objects:
ObjectName,Viewport,LRS,Sub_Data,Parent_ID=Libs[3][ID]
SDType,SDName,SDData1,SDData2=Sub_Data
if SDType=="_Mesh":
Verts,Normals,Colors,UVs,Weights,Primitives=SDData2
for Primitive,Facepoints in Primitives:
__GL.glBegin(__GL.GL_LINES)
for V,N,Cs,Us in Facepoints:
if N!='':
NX,NY,NZ=Normals[N][0],Normals[N][1],Normals[N][2]
VL=len(Verts[V])
VX,VY,VZ=Verts[V]+([0.0] if VL==2 else [])
__GL.glVertex3f(VX,VY,VZ)
__GL.glVertex3f(VX+NX,VY+NY,VZ+NZ)
__GL.glEnd()
__GL.glEndList()
def __B():
global Libs,__BONE_DATA
__BONE_DATA = __GL.glGenLists(1)
glNewList(__BONE_DATA, GL_COMPILE)
for Name,Objects in Libs[2]:
for ID in Objects:
ObjectName,Viewport,LRS,Sub_Data,Parent_ID=Libs[3][ID]
SDType,SDName,SDData1,SDData2=Sub_Data
if SDType=="_Rig":
__GL.glLineWidth(3.5)
for bone in SDData2:
PLRS,CLRS = (SDData2[bone[4]][2] if type(bone[4])==int else [0,0,0,0,0,0,1,1,1]),bone[2]
__GL.glBegin(GL_LINES)
__GL.glColor3f(1,1,1)
__GL.glVertex3f((PLRS[0]*PLRS[6]),(PLRS[1]*PLRS[7]),(PLRS[2]*PLRS[8]))
__GL.glVertex3f((CLRS[0]*CLRS[6]),(CLRS[1]*CLRS[7]),(CLRS[2]*CLRS[8]))
__GL.glEnd()
__GL.glEndList()
def __Draw_Scene():
global TOGGLE_FULLSCREEN,TOGGLE_LIGHTING,TOGGLE_3D,TOGGLE_WIREFRAME,TOGGLE_BONES,TOGGLE_ORTHO,TOGGLE_NORMALS
global __viewMatrix
global __TOP_GRID,__SIDE_GRID,__FRONT_GRID,__QUAD_FLOOR,__LINE_FLOOR,__MODEL_DATA,__NORMAL_DATA,__BONE_DATA
__GL.glMultMatrixf(__viewMatrix._getMtx())
__GL.glEnable(__GL.GL_DEPTH_TEST)
__GL.glDisable(__GL.GL_LIGHTING) #disable for the grid
if TOGGLE_GRID<4:
#global __TOP_GRID,__SIDE_GRID,__FRONT_GRID,__QUAD_FLOOR
__GL.glCallList([__TOP_GRID,__SIDE_GRID,__FRONT_GRID,__QUAD_FLOOR][TOGGLE_GRID])
if TOGGLE_LIGHTING: __GL.glEnable(__GL.GL_LIGHTING)
__GL.glEnable(__GL.GL_TEXTURE_2D)
__GL.glCallList(__MODEL_DATA)
__GL.glDisable(__GL.GL_TEXTURE_2D)
if TOGGLE_LIGHTING: __GL.glDisable(__GL.GL_LIGHTING) #disable for the grid and bones
if TOGGLE_NORMALS: __GL.glCallList(__NORMAL_DATA)
if TOGGLE_BONES:
if TOGGLE_BONES==2: __GL.glClear( __GL.GL_DEPTH_BUFFER_BIT ) #overlay the bones (X-Ray)
__GL.glCallList(__BONE_DATA)
for Name,Objects in Libs[2]: #de-scaled bone joints
for ID in Objects:
ObjectName,Viewport,LRS,Sub_Data,Parent_ID=Libs[3][ID]
SDType,SDName,SDData1,SDData2=Sub_Data
if SDType=="_Rig":
for bone in SDData2:
PLRS,CLRS = (SDData2[bone[4]][2] if type(bone[4])==int else [0,0,0,0,0,0,1,1,1]),bone[2]
__GL.glTranslate((CLRS[0]*CLRS[6]),(CLRS[1]*CLRS[7]),(CLRS[2]*CLRS[8]))
#glutSolidSphere(0.03/__viewMatrix._scale, 25, 25)
__GL.glTranslate(-(CLRS[0]*CLRS[6]),-(CLRS[1]*CLRS[7]),-(CLRS[2]*CLRS[8]))
__GL.glDisable(__GL.GL_DEPTH_TEST)
pass
#___________________________________________________________________________________________
def __G(D): #Grid
__GL.glLineWidth(1.0)
GS=60; i0,i1 = (D+1 if D<2 else 0),(D-1 if D>0 else 2)
C1,C2,A1,A2,nA1,nA2=[0,0,0],[0,0,0],[0,0,0],[0,0,0],[0,0,0],[0,0,0]
C1[D],C2[i0]=1,1
A1[D],A2[i0]=GS,GS; nA1[D],nA2[i0]= -GS,-GS
S1,iS1=A1,A1;S2,iS2=A2,A2; nS1,niS1=nA1,nA1;nS2,niS2=nA2,nA2
__GL.glBegin(__GL.GL_LINES)
__GL.glColor3fv(C1);__GL.glVertex3f(A1[0],A1[1],A1[2]);__GL.glVertex3f(nA1[0],nA1[1],nA1[2])
__GL.glColor3fv(C2);__GL.glVertex3f(A2[0],A2[1],A2[2]);__GL.glVertex3f(nA2[0],nA2[1],nA2[2])
__GL.glColor3f(0.5,0.5,0.5)
s=0
while s < GS:
s+=10; S1[i0],nS1[i0],S2[D],nS2[D]=s,s,s,s
__GL.glVertex3f(S1[0],S1[1],S1[2]);__GL.glVertex3f(nS1[0],nS1[1],nS1[2])
__GL.glVertex3f(S2[0],S2[1],S2[2]);__GL.glVertex3f(nS2[0],nS2[1],nS2[2])
iS1[i0],niS1[i0],iS2[D],niS2[D]=-s,-s,-s,-s
__GL.glVertex3f(iS1[0],iS1[1],iS1[2]);__GL.glVertex3f(niS1[0],niS1[1],niS1[2])
__GL.glVertex3f(iS2[0],iS2[1],iS2[2]);__GL.glVertex3f(niS2[0],niS2[1],niS2[2])
__GL.glEnd()
def __quad(p1,p2):
__GL.glVertex3f(p1+2.5,0,p2+2.5); __GL.glVertex3f(p1+2.5,0,p2-2.5)
__GL.glVertex3f(p1-2.5,0,p2-2.5); __GL.glVertex3f(p1-2.5,0,p2+2.5)
def __F(D): #Floor
__GL.glLineWidth(1.0)
FS=40; clr=0.3125; p1=0
while p1 < FS:
clr=(0.3125 if clr==0.5 else 0.5); p2=0
while p2 < FS:
__GL.glColor3f(clr,clr,clr)
if D: #draw lines so you can actually see the floor
__GL.glBegin(__GL.GL_LINE_LOOP); __quad(p1,p2); __GL.glEnd()
__GL.glBegin(__GL.GL_LINE_LOOP); __quad(p1,-p2); __GL.glEnd()
__GL.glBegin(__GL.GL_LINE_LOOP); __quad(-p1,-p2); __GL.glEnd()
__GL.glBegin(__GL.GL_LINE_LOOP); __quad(-p1,p2); __GL.glEnd()
#TODO: this draws lines for every quad instead of just the outside quads
#^a performance killer >_>
else:
__GL.glBegin(__GL.GL_QUADS)
__quad(p1,p2); __quad(p1,-p2)
__quad(-p1,p2); __quad(-p1,-p2)
__GL.glEnd()
p2+=5; clr=(0.3125 if clr==0.5 else 0.5)
p1+=5
def __SDLVResize(W,H, VMODE): #A limitation of SDL (the GL context also needs to be reset with the screen)
__pyg.display.set_mode((int(W),int(H)), VMODE)
#DspInf = __pyg.display.Info()
#UI display lists:
global __TOP_GRID,__SIDE_GRID,__FRONT_GRID,__QUAD_FLOOR,__LINE_FLOOR
__FRONT_GRID = __GL.glGenLists(1); __GL.glNewList(__FRONT_GRID, __GL.GL_COMPILE); __G(2); __GL.glEndList()
__SIDE_GRID = __GL.glGenLists(1); __GL.glNewList(__SIDE_GRID, __GL.GL_COMPILE); __G(1); __GL.glEndList()
__TOP_GRID = __GL.glGenLists(1); __GL.glNewList(__TOP_GRID, __GL.GL_COMPILE); __G(0); __GL.glEndList()
__QUAD_FLOOR = __GL.glGenLists(1); __GL.glNewList(__QUAD_FLOOR, __GL.GL_COMPILE); __F(0); __GL.glEndList()
__LINE_FLOOR = __GL.glGenLists(1); __GL.glNewList(__LINE_FLOOR, __GL.GL_COMPILE); __F(1); __GL.glEndList()
__GL.glClearColor(0.13, 0.13, 0.13, 1.0)
__GL.glClearDepth(1.0)
#TODO: need to manage these more efficiently:
__GL.glEnable(__GL.GL_DEPTH_TEST)
__GL.glDepthFunc(__GL.GL_LEQUAL)
__GL.glEnable(__GL.GL_LIGHTING)
__GL.glEnable(__GL.GL_LIGHT0)
__GL.glEnable(__GL.GL_NORMALIZE) #scale normals when model is scaled
__GL.glDisable(__GL.GL_BLEND) #disabled for models
__GL.glBlendFunc(__GL.GL_SRC_ALPHA, __GL.GL_ONE_MINUS_SRC_ALPHA)
__GL.glShadeModel(__GL.GL_SMOOTH)
__M(); __N(); __B()
__GUI.__ResizeGUI(W,H)
def Init():
import sys
global TOGGLE_FULLSCREEN,TOGGLE_LIGHTING,TOGGLE_GRID,TOGGLE_WIREFRAME,TOGGLE_BONES,TOGGLE_3D,TOGGLE_ORTHO
global width,height
global W,H; LW,LH=W,H #restored screen size (coming from full-screen)
VIDEOMODE = OPENGL|DOUBLEBUF|RESIZABLE
#VIDEOMODE&=~RESIZABLE
__pyg.display.init()
icon = __pyg.Surface((1,1)); icon.set_alpha(255)
__pyg.display.set_icon(icon)
__pyg.display.set_caption("Universal Model Converter v3.0a (dev4.5)")
__SDLVResize(width,height, VIDEOMODE)
__GUI.__initGUI()
'''later'''
#__pyg.joystick.init()
#joy = [__pyg.joystick.Joystick(j) for j in range(__pyg.joystick.get_count())]
#for j in joy: j.init()
__lastRot = __AB.Matrix3fT() #last updated rotation (ArcBall view rotation)
O = 0.025 # eye translation offset
EYE=None #3D L or R EYE (for Shutter method)
MODS=0 #Modifier keys (global use) [ Alt(4)[0b100] | Ctrl(2)[0b10] | Shift(1)[0b1] ]
#global __MODEL_DATA,__NORMAL_DATA,__BONE_DATA
while True:
'''
line=0
for axis in range(GCNJS.get_numaxes()):
#sys.stdout.write("axis%i: %s\n"%(axis,str(GCNJS.get_axis(axis))))
GCNJS.get_axis(axis)
line+=1
for hat in range(GCNJS.get_numhats()):
#sys.stdout.write("hat%i: %s\n"%(hat,str(GCNJS.get_hat(hat))))
GCNJS.get_hat(hat)
line+=1
for button in range(GCNJS.get_numbuttons()):
#sys.stdout.write("button%i: %s\n"%(button,str(GCNJS.get_button(button))))
GCNJS.get_button(button)
line+=1
#sys.stdout.write('%s'%('\r'*line))
'''
for i,e in enumerate(__pyg.event.get()):
if e.type == QUIT: __pyg.display.quit(); return None #VIEWER.init() >>> None
if e.type == ACTIVEEVENT: pass #e.gain; e.state
if e.type == KEYDOWN: #e.key; e.mod
__GUI.__KeyPress(e.key)
if e.key==K_RSHIFT or e.key==K_LSHIFT: MODS|=1
if e.key==K_RCTRL or e.key==K_LCTRL: MODS|=2
if e.key==K_RALT or e.key==K_LALT: MODS|=4
if e.key not in [K_RSHIFT,K_LSHIFT,K_RCTRL,K_LCTRL,K_RALT,K_LALT]:
TOGGLE_GRID=(2 if TOGGLE_GRID<3 else TOGGLE_GRID) #don't let MODS affect the grid
if e.key==K_KP5:
TOGGLE_ORTHO = False if TOGGLE_ORTHO else True
if e.key==K_KP9: #reset the view
if MODS==0:
__viewMatrix.mtxrotate(__AB.Matrix3fT()) #rotation
__viewMatrix.rotate(10.0,350.0,0.0)
elif MODS&1: __viewMatrix.X=0.0;__viewMatrix.Y=0.0;__viewMatrix.Z=0.0 #translation
elif MODS&2: __viewMatrix._scale=0.1 #scale
elif MODS&4: __viewMatrix.reset() #everything
if e.key==K_KP8: #rotate/translate U
if MODS&1: __viewMatrix.translate(0.0,-0.25,0.0)
else: __viewMatrix.rotate(5.0,0.0,0.0)
if e.key==K_KP2: #rotate/translate D
if MODS&1: __viewMatrix.translate(0.0,0.25,0.0)
else: __viewMatrix.rotate(-5.0,0.0,0.0)
if e.key==K_KP4: #rotate/translate L
if MODS&1: __viewMatrix.translate(0.25,0.0,0.0)
else: __viewMatrix.rotate(0.0,5.0,0.0)
if e.key==K_KP6: #rotate/translate R
if MODS&1: __viewMatrix.translate(-0.25,0.0,0.0)
else: __viewMatrix.rotate(0.0,-5.0,0.0)
#//--// kept as an added option
if e.key==K_KP_PLUS: __viewMatrix.scale(1.1)
if e.key==K_KP_MINUS: __viewMatrix.scale(1/1.1)
#//--//
if e.key==K_KP1: #front view
TOGGLE_GRID=(0 if TOGGLE_GRID<3 else TOGGLE_GRID)
__viewMatrix.mtxrotate(__AB.Matrix3fT()) #reset the rotation using a minor bug
if MODS&2: __viewMatrix.rotate(0.0,180.0,0.0) #back View
if e.key==K_KP3:
TOGGLE_GRID=(1 if TOGGLE_GRID<3 else TOGGLE_GRID)
__viewMatrix.mtxrotate(__AB.Matrix3fT()) #reset the rotation
if MODS&2: __viewMatrix.rotate(0.0,90.0,0.0) #right-side View
else: __viewMatrix.rotate(0.0,-90.0,0.0) #left-side view
if e.key==K_KP7:
TOGGLE_GRID=(2 if TOGGLE_GRID<3 else TOGGLE_GRID)
__viewMatrix.mtxrotate(__AB.Matrix3fT()) #reset the rotation
if MODS&2: __viewMatrix.rotate(-90.0,0.0,0.0) #bottom View
else: __viewMatrix.rotate(90.0,0.0,0.0) #top view
if e.key==K_ESCAPE:
if TOGGLE_FULLSCREEN:
TOGGLE_FULLSCREEN=0
VIDEOMODE&=~FULLSCREEN
VIDEOMODE|=RESIZABLE
W,H = LW,LH
else:
TOGGLE_FULLSCREEN=1
VIDEOMODE&=~RESIZABLE
VIDEOMODE|=FULLSCREEN
LW,LH=W,H; W,H = 1280,1024
__SDLVResize(W,H, VIDEOMODE)
__abt.setBounds(W,H)
##### Import/Export
if e.key==K_i:
if MODS&2: ##import model
import COMMON
typenames,modules,modnames,ihandlers = [],[],[],[]; iftypes,isupport = [],[]
for M,D,I in COMMON._Scripts[0][0]:
if D[1] != ('',['']): #has model info
iftypes+=[(D[1][0],tuple(["*.%s"%T for T in D[1][1]]))]
for T in D[1][1]:
try: isupport.index("*.%s"%T)
except: isupport+=["*.%s"%T]
modnames+=[D[1][0]]
typenames+=[T]
modules+=[M]
ihandlers+=[I]
#print ihandlers
#----- Tkinter dialog (will be replaced)
_in=askopenfilename(title='Import Model', filetypes=[('Supported', " ".join(isupport))]+iftypes)
#-----
if _in=='': pass #action cancelled
else:
COMMON.__functions=[0,0,0,0] #prevent unwanted initialization
#this block will change once I use my own dialog
#Tkinter doesn't return the filter ID
#-----
it = _in.split('.')[-1]
if typenames.count(it)>1:
print '\nThis filetype is used by multiple scripts:\n'
scr = []
for idx,ft in enumerate(typenames):
if ft==it: scr+=[[modnames[idx],modules[idx],ihandlers[idx]]]
for I,NM in enumerate(scr): print ' %i - %s'%(I,NM[0])
print
sid=input('Please enter the script ID here: ')
i=__import__(scr[sid][1])
for iM,iD in COMMON._Scripts[2][0]:
if iD[1] != ('',['']): #has image info
if iD[1][0] in scr[sid][2]:
for iift in iD[1][1]:
COMMON._ImgScripts[iift] = iM #save memory, and don't import here as it's already imported
else:
idx = typenames.index(it)
i=__import__(modules[idx])
for iM,iD in COMMON._Scripts[2][0]:
if iD[1] != ('',['']): #has image info
if iD[1][0] in ihandlers[idx]:
for iift in iD[1][1]:
COMMON._ImgScripts[iift] = iM
COMMON.__ReloadScripts() #check for valid changes to the scripts
#-----
global Libs; __Libs=Libs #remember last session in case of a script error
try: #can we get our hands on the file, and does the script work?
COMMON.__d[COMMON.__c] = '' #hack
COMMON.ImportFile(_in,1) #set the file data
Libs=[[],[],[["Def_Scene",[]]],[],[],[],[],[]] #reset the data for importing
__FORMAT._Reset()
print 'Converting from import format...'
__LOG('-- importing %s --\n'%_in.split('/')[-1])
i.ImportModel(it,None)
print 'Verifying data...'
#export UMC session data
l=open('session.ses','w')
l.write(str([1,Libs]))
l.close()
__M() #model Display
__N()
__B()
print 'Updating Viewer\n'
__pyg.display.set_caption("Universal Model Converter v3.0a (dev4.5) - %s" % _in.split('/')[-1])
#glutSetWindowTitle("Universal Model Converter v3.0a (dev5) - %s" % _in.split('/')[-1])
COMMON.__ClearFiles() #clear the file data to be used for writing
except:
Libs=__Libs
print "Error! Check 'session-info.log' for more details.\n"
import sys,traceback
typ,val,tb=sys.exc_info()#;tb=traceback.extract_tb(i[2])[0]
traceback.print_exception(
typ,val,tb#,
#limit=2,
#file=sys.stdout
)
print
__Libs=[] #save memory usage
COMMON._ImgScripts = {} #reset
__WLOG(0) #write log
COMMON.__CleanScripts() #remove pyc files
if e.key==K_e:
if MODS&2: #export model
COMMON.__ClearFiles() #clear the file data again... just in case
etypenames,emodules,emodnames,ehandlers = [],[],[],[]; eftypes = []
for M,D,I in COMMON._Scripts[0][1]:
if D[1] != ('',['']): #has model info
eftypes+=[(D[1][0],tuple(["*.%s"%T for T in D[1][1]]))]
for T in D[1][1]:
emodnames+=[D[1][0]]
etypenames+=[T]
emodules+=[M]
ehandlers+=[I]
COMMON.__ReloadScripts() #check for valid changes to the scripts
#Tkinter dialog (will be replaced)
#-----
_en=asksaveasfilename(title='Export Model', filetypes=eftypes, defaultextension='.ses')
#-----
if _en=='': pass
else:
COMMON.__functions=[0,0,0,0] #prevent unwanted initialization
#this block will change once I use my own dialog
#Tkinter doesn't return the filter ID
#-----
et = _en.split('.')[-1]
if etypenames.count(et)>1:
print '\nThis filetype is used by multiple scripts:\n'
scr = []
for idx,ft in enumerate(etypenames):
if ft==et: scr+=[[emodnames[idx],emodules[idx]]]
for I,NM in enumerate(scr): print ' %i - %s'%(I,NM[0])
print
sid=input('Please enter the script ID here: ')
em=__import__(scr[sid][1])
else:
em=__import__(emodules[etypenames.index(et)])
#-----
try:
COMMON.ExportFile(_en) #add the file to the data space
print 'converting to export format...'
em.ExportModel(et,None)
COMMON.__WriteFiles()
print 'Done!'
except:
print "Error! Check 'session-info.log' for more details.\n"
import sys,traceback
typ,val,tb=sys.exc_info()#;tb=traceback.extract_tb(i[2])[0]
print
traceback.print_exception(
typ,val,tb#,
#limit=2,
#file=sys.stdout
)
__WLOG(0) #write log
COMMON.__CleanScripts() #remove pyc files
#####
if e.type == KEYUP: #e.key; e.mod
__GUI.__KeyRelease(e.key)
if e.key==K_RSHIFT or e.key==K_LSHIFT: MODS&=6
if e.key==K_RCTRL or e.key==K_LCTRL: MODS&=5
if e.key==K_RALT or e.key==K_LALT: MODS&=3
if e.type == MOUSEBUTTONDOWN: #e.pos; e.button
x,y=e.pos
__GUI.__Click(e.button,x,y)
if e.button==2:
__lastRot=__viewMatrix.RotMtx
__abt.click(__AB.Point2fT(x,y))
else: __lastRot=__viewMatrix.RotMtx
if e.button==4:
if MODS==0: __viewMatrix.scale(1.1)
elif MODS&1: __viewMatrix.translate(0.0,0.25,0.0) #translate Y
elif MODS&2: __viewMatrix.translate(0.25,0.0,0.0) #translate X
elif e.button==5:
if MODS==0: __viewMatrix.scale(1/1.1)
elif MODS&1: __viewMatrix.translate(0.0,-0.25,0.0) #translate Y
elif MODS&2: __viewMatrix.translate(-0.25,0.0,0.0) #translate X
if e.type == MOUSEBUTTONUP: #e.pos; e.button
x,y=e.pos
__GUI.__Release(e.button,x,y)
if e.button==2: __lastRot=__viewMatrix.RotMtx
if e.type == MOUSEMOTION: #e.pos; e.rel; e.buttons
x,y = e.pos; rx,ry = e.rel
__GUI.__Motion(e.buttons,x,y,rx,ry)
if e.buttons[1]: #MMB view rotation (like blender24)
if MODS&1:
s = __viewMatrix._scale
tx = ((1./W)*rx)/s
ty = ((1./H)*-ry)/s
__viewMatrix.translate(tx,ty,0.0)
elif MODS&2:
s = ry
__viewMatrix.scale(s)
else:
__viewMatrix.mtxrotate(
__AB.Matrix3fMulMatrix3f(
__lastRot, #get our previous view rot matrix
__AB.Matrix3fSetRotationFromQuat4f(__abt.drag(__AB.Point2fT(x,y))) #get a rot matrix from the mouse position
) #multiply the matrices
) #update the view matrix with the new rotation
if TOGGLE_GRID<3 and TOGGLE_GRID!=2: TOGGLE_GRID=2
if e.type == JOYAXISMOTION: #e.joy; e.axis; e.value
pass #print 'Joy:',e.joy, ', Axis:',e.axis, ', Value:',e.value
if e.type == JOYBALLMOTION: pass #e.joy; e.ball; e.rel
if e.type == JOYHATMOTION: #e.joy; e.hat; e.value
pass #print 'Joy:',e.joy, ', Hat:',e.hat, ', Value:',e.value
if e.type == JOYBUTTONDOWN: #e.joy; e.button
pass #print 'Joy:',e.joy, ', Button:',e.button
if e.type == JOYBUTTONUP: pass #e.joy; e.button
if e.type == VIDEORESIZE: #e.size; e.w; e.h
_w,_h = e.size
if _w+_h>0 and _h>0:
W,H=_w,_h
__SDLVResize(W,H, VIDEOMODE)
__abt.setBounds(W,H)
if e.type == VIDEOEXPOSE: pass
if e.type == USEREVENT: pass #e.code
#Display:
__GL.glViewport(0, 0, int(W), int(H))
###
__GL.glMatrixMode(__GL.GL_PROJECTION)
__GL.glLoadIdentity()
P=float(W)/float(H)
if TOGGLE_ORTHO: __GL.glOrtho(-2*P, 2*P, -2, 2, -100, 100)
else: __GLU.gluPerspective(43.6025, P, 1, 100.0); __GLU.gluLookAt(0.0, 0.0, 5.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0)
#gluLookAt( eyex, eyey, eyez, centerx, centery, centerz, upx, upy, upz)
#glOrtho(GLdouble left, GLdouble right, GLdouble bottom, GLdouble top, GLdouble near, GLdouble far)
#glFrustum(GLdouble left, GLdouble right, GLdouble bottom, GLdouble top, GLdouble near, GLdouble far)
#gluPerspective(GLdouble fovy, GLdouble aspect, GLdouble near, GLdouble far)
###
__GL.glMatrixMode(__GL.GL_MODELVIEW)
__GL.glLoadIdentity()
__GL.glClear(__GL.GL_COLOR_BUFFER_BIT|__GL.GL_DEPTH_BUFFER_BIT)
__GL.glPushMatrix()
__GL.glLightfv(__GL.GL_LIGHT0, __GL.GL_POSITION, ( 1.0, 1.0, 3.0, 0.0 ))
__GL.glPolygonMode(__GL.GL_FRONT_AND_BACK,(__GL.GL_LINE if TOGGLE_WIREFRAME else __GL.GL_FILL))
if TOGGLE_3D==1: #Analglyph
__GL.glDrawBuffer( __GL.GL_BACK_LEFT ) #not really sure why this is needed,
#but the code doesn't work if removed...
#L Eye (2 colors)
if TOGGLE_3D_MODE[0]==0: __GL.glColorMask( 1,0,0,1 )
elif TOGGLE_3D_MODE[0]==1: __GL.glColorMask( 0,1,0,1 )
elif TOGGLE_3D_MODE[0]==2: __GL.glColorMask( 0,0,1,1 )
__GL.glClear( __GL.GL_COLOR_BUFFER_BIT | __GL.GL_DEPTH_BUFFER_BIT )
__GL.glLoadIdentity(); __GL.glTranslate(O,0.0,0.0)
__Draw_Scene()
#R Eye (1 color)
if TOGGLE_3D_MODE[0]==0: __GL.glColorMask( 0,1,1,1 ) #doesn't overlay
if TOGGLE_3D_MODE[0]==1: __GL.glColorMask( 1,0,1,1 )
if TOGGLE_3D_MODE[0]==2: __GL.glColorMask( 1,1,0,1 )
__GL.glClear( __GL.GL_DEPTH_BUFFER_BIT )
__GL.glLoadIdentity(); __GL.glTranslate(-O*2,0.0,0.0)
__Draw_Scene()
__GL.glColorMask( 1,1,1,1 ) #restore the color mask for later drawing
elif TOGGLE_3D==2: #Shutter (need a better method than simply rotating between frames)
#does not require quad-buffered hardware. (I might add error-detection-support for this later)
#... if your machine supports this, it should greatly improve visual performance quality ;)
EYE=(-O if EYE==O else O)
__viewMatrix.translate(EYE,0.0,0.0)
__Draw_Scene()
else: __Draw_Scene() #no 3D display
__GL.glPopMatrix()
__GL.glPolygonMode(__GL.GL_FRONT_AND_BACK,(__GL.GL_FILL))
__GUI.__DrawGUI(W,H,__viewMatrix.getaxismtx())
__pyg.display.flip()
#Init() | {
"repo_name": "Universal-Model-Converter/UMC3.0a",
"path": "data/VIEWER.py",
"copies": "1",
"size": "55702",
"license": "mit",
"hash": 5523323525696215000,
"line_mean": 50.1976102941,
"line_max": 211,
"alpha_frac": 0.486391871,
"autogenerated": false,
"ratio": 2.848624322389281,
"config_test": false,
"has_no_keywords": false,
"few_assignments": false,
"quality_score": 0.38350161933892807,
"avg_score": null,
"num_lines": null
} |
#1
#v 0.001
'''
description:
UMC's GUI, instead of using the GL Feedback Buffer like any normal GUI,
uses it's own interface based on hitdefs.
how it works is it fills 2 buffers with data:
- Widgets:
holds the widget data (info), event states, and hitdef
- layer:
holds a complex arrangement of polygon layers
the Widgets buffer is accessed only by the input functions and the widget functions.
- the input functions trigger event states based on if the mouse is over an active hitdef
- the widget functions simply modify the state info if a particular widget. (based on the widget name)
they also modify the coordinates of the polygons, and draw or remove polygons in the layer buffer
the layer buffer is filled by the widget functions only once (it is never cleared) it is accessed after widget managment.
the buffer has 3 internal layers:
- the stack layer is an arrangement of polygons drawn from *max_size* (FG) to 0 (BG).
there is no mixed alpha between the FGs and BGs
- the overlay layer is drawn over the stack layer
this has the same structure as the stack layer, however all alphas are mixed
- the font layer is always the same length as the overlay layer
the internal layers here get sandwiched between the overlay layers
the use of these buffers is to build a smart GUI that manages itself
to deliver the best perfomance and change what's needed only when needed to.
(this cuts out 98% of the math needed to position everything)
the reason I decided to build this instead of using GL's buffer to manage this is because
in order to use the feedback buffer, you'd have to calculate the positions once when drawing the data,
and then recalculate them for the feedback mode to verify a hit. (eg: the hitdefs)
with this, the positions only need to be calculated once.
once created, the data isn't ment to be removed, however, it can be disabled until needed again.
(disabling the data will cause the display parser to simply skip over the data)
issues:
while this method has worked, it's not perfected,
and due to the large amount of widgets created for UMC's GUI, it does cause a bit of lag. (30 FPS at least)
one of these problems would be that the display parser draws the data in immediate mode.
(the vertex data and primitives are drawn individually and parsed as is)
a better solution would be either:
- use a single display list and recompile the data only when modified
- use a display list for each widget (and sub-widgets) and parse/draw only the needed display lists
I personally would go for the first option as this would allow for better performance when viewing the scene.
'''
import COMMON #file vars and functions for import/export processing
import VIEWER #mainly for the toggles
from VIEWER import __GL,__GLU,__pyg
from array import array as __arr
class __Widget:
class _event: #widget events
def __init__(self):
self.gainFocus=False #True for the first frame the cursor enters the hitspace
self.loseFocus=False #True for the first frame the cursor leaves the hitspace
self.hasFocus=False #True if the cursor is in the hitspace
self.clickL=False #True if the L mouse button was clicked
self.clickM=False #True if the M mouse button was clicked
self.clickR=False #True if the R mouse button was clicked
self.holdL=False #True if the L mouse button is held
self.holdM=False #True if the M mouse button is held
self.holdR=False #True if the R mouse button is held
self.releaseL=False #True if the L mouse button was released
self.releaseM=False #True if the M mouse button was released
self.releaseR=False #True if the R mouse button was released
self.scrollU=False #True if scrolling up
self.scrollD=False #True if scrolling down
self.keyPress=False #True if a key was pressed
self.keyHold=False #True if a key is being held
self.keyRelease=False#True if a key was released
class _hitdef: #Widget mouse-hit area
#the event handlers manage the widgets by their hit-defs.
#if the mouse does something within the widget's hit-def area, the widget is updated
def __init__(self):
self.enabled=True #allow hitdef testing
self.x=0.0; self.y=0.0
self.X=0.0; self.Y=0.0
def __init__(self):
self.info=None #state info filled and used by the widget's creation function
self.event=self._event() #Widget.event.*wevent*
self.hitdef=self._hitdef()
self.motion=False #allow repositioning
self.allowKeys=False #triggered by a widget (allows handling by the GUI sub-system)
self.key=None #the keys in which was pressed/released
class __Layer:
class _PrimitiveCollector:
class _Primitive:
def __init__(self,isTri,r,g,b,a,v1,v2,v3,v4=None):
self.r,self.g,self.b,self.a=r,g,b,a
self.v1,self.v2,self.v3,self.v4=v1,v2,v3,v4
self.isTri=isTri
def Position(self,v1,v2,v3,v4=None):
if (v1,v2,v3,v4)!=(self.v1,self.v2,self.v3,self.v4): self.v1,self.v2,self.v3,self.v4=v1,v2,v3,v4; return True
else: return False
def Color(self,r,g,b,a):
fcm=1./255; r,g,b,a=r*fcm,g*fcm,b*fcm,a*fcm
if (self.r,self.g,self.b,self.a)!=(r,g,b,a): self.r,self.g,self.b,self.a=r,g,b,a; return True
else: return False
def __init__(self):
self.primitives={}
def HasPrimitive(self,Name):
return Name in self.primitives
def AddTri(self,Name,v1,v2,v3,color=(0,0,0,0)):
fcm=1./255; r,g,b,a=color
self.primitives[Name]=self._Primitive(True,r*fcm,g*fcm,b*fcm,a*fcm,v1,v2,v3)
def AddQuad(self,Name,v1,v2,v3,v4,color=(0,0,0,0)):
fcm=1./255; r,g,b,a=color
self.primitives[Name]=self._Primitive(False,r*fcm,g*fcm,b*fcm,a*fcm,v1,v2,v3,v4)
def RemovePrimitive(self,Name): self.primitives.pop(Name)
class _FontCollector:
import GUI
class _String(GUI): #NOTE: the GUI part is new
#self.pw,self.ph=pw,ph
def __init__(self,image,text,x,y,X,Y,w,h):
self.image=None #an alpha mask texture
self.x,self.y=0,0
self.w,self.h=w,h
#local usage:
self.rect=[]
Position(self,x,y,X,Y)
def Position(self,x,y,X,Y):
if (x,y,X,Y)!=self.last:
pw=self.pw
ph=self.ph
w,h=self.w*pw,self.h*ph
px=x*pw if type(x)==int else x
py=y*ph if type(y)==int else y
#center to the area: (if specified)
if X!=None: px+=(((X if type(X)==float else float(X)*pw)-px)/2)-w/2
if Y!=None: py+=(((Y if type(Y)==float else float(Y)*ph)-py)/2)-h/2
self.x,self.y=px,py#+h
self.X,self.Y=px+w,py+h
self.last=(x,y,X,Y)
return True
else: return False
def Color(self,r,g,b,a):
if (self.r,self.g,self.b,self.a)!=(r,g,b,a): self.r,self.g,self.b,self.a=r,g,b,a; return True
else: return False
def __init__(self):
self.strings={}
def HasString(self,Name):
if Name in self.strings:
return self.strings[Name].enabled
else: return False
def AddString(self,pw,ph,Name,text,size,x,y,X=None,Y=None,color=(0,0,0,255)):
if Name not in self.strings: #add the string only if needed
fcm=1./255
#TODO: remove pw and ph requirements
import pygame as pyg
from OpenGL import GL
F=pyg.font.Font('fonts/tahoma.ttf',size) #don't use .fon files
_w,_h=F.size(text); w,h=_w*pw,_h*ph
r,g,b,a = color
#basic black BG, white FG with antialize:
image=pyg.transform.flip(F.render(text,True,(255,255,255),(0,0,0)),False, True).get_buffer().raw #get raw RGB pixel data
px=x*pw if type(x)==int else x
py=y*ph if type(y)==int else y
#center to the area: (if specified)
if X!=None: px+=(((X if type(X)==float else float(X)*pw)-px)/2)-w/2
if Y!=None: py+=(((Y if type(Y)==float else float(Y)*ph)-py)/2)-h/2
#'''
#Pixel Drawing
self.strings[Name]=self._String(image,r*fcm,g*fcm,b*fcm,a*fcm,px,py+h,0,0,_w,_h)
'''
texid = GL.glGenTextures(1)
GL.glBindTexture( GL.GL_TEXTURE_2D, texid )
GL.glPixelStorei(GL.GL_UNPACK_ALIGNMENT,1)
# glTexImage2D(target, level, internalformat, width, height, border, format, type, data)
GL.glTexImage2D( GL.GL_TEXTURE_2D, 0, GL.GL_LUMINANCE_ALPHA, w, h, 0, GL.GL_ALPHA, GL.GL_UNSIGNED_BYTE, image )
GL.glTexParameterf( GL.GL_TEXTURE_2D, GL.GL_TEXTURE_MIN_FILTER, GL.GL_LINEAR )
GL.glTexParameterf( GL.GL_TEXTURE_2D, GL.GL_TEXTURE_MAG_FILTER, GL.GL_LINEAR )
GL.glTexEnvf(GL.GL_TEXTURE_ENV, GL.GL_TEXTURE_ENV_MODE, GL.GL_DECAL)
self.strings[Name]=self._String(texid,r*fcm,g*fcm,b*fcm,a*fcm,px,py,px+w,py+h,_w,_h)
#'''
del(image) #remove the old pyg buffer
else:
self.strings[Name].enabled=True
def RemoveString(self,Name):
self.strings[Name].enabled=False
def __init__(self):
self.stack={} #draws FG before BG with FG over BG (alphas are not mixed)
self.overlay={} #draws over the stack (alphas are mixed)
self.font={} #same as Overly
#NOTE: overlay[1] draws over font[0]
def AddStack(self):
self.stack[len(self.stack)]=self._PrimitiveCollector()
def AddOverlay(self):
self.overlay[len(self.overlay)]=self._PrimitiveCollector()
self.font[len(self.font)]=self._FontCollector()
def clear(self):
self.stack={}
self.overlay={}
self.font={}
self.AddStack()
self.AddOverlay()
layer={} #GUI layering info (collection buffers)
layer[0]=__Layer() #updated once, modified, and reused (this is the main layer)
layer[0].AddStack()
layer[0].AddOverlay()
#Drawing Order:
#layer[0]
# stack[0] #BG
# primitive[0]
# primitive[1]
# primitive[2]
# stack[1] #FG (not influenced by BG)
# primitive[0] #these primitives are drawn first with a depth of ((len(stack)-stack_index)*.01)
# primitive[1]
#
# overlay[0] #a layer drawn over the stack-layer
# primitive[0]
# primitive[1]
# font[0] #the font that goes over this overlay-layer
# text[0]
# text[1]
# text[2]
#
# overlay[1] #overlays previous font, overlay, and stack
# primitive[0]
# primitive[1]
# font[1]
# text[0]
#
#layer[1] #(used for browsers, errors, and other popups)
# stack[0] #overlays layer[0]
# primitive[0]
# stack[1]
# primitive[0]
#
# overlay[0]
# primitive[0]
# font[0]
# text[0]
#
# overlay[1]
# primitive[0]
# font[1]
# text[0]
#this contains the info for each widget
Widgets = {}
motionx,motiony=None,None
movementx,movementy=None,None
AllowHitUpdates=True; noRelease=False
global __AllowVIEWERControl;__AllowVIEWERControl=True
#-----------------------------------
#main Widgets
def __RemoveDropBox(Na):
global Widgets,layer
try:
Widgets[Na].hitdef.enabled=False #disable the hitdef (save the state)
sbna='SelectBox%sQuad'%Na
sbfna='SelectBox%sText'%Na
sbbna='SelectBox%sButtonQuad'%Na
sbbdna='SelectBox%sButtonDecal'%Na
if layer[0].stack[2].HasPrimitive(sbna):
layer[0].stack[2].RemovePrimitive(sbna)
layer[0].font[0].RemoveString(sbfna)
layer[0].stack[2].RemovePrimitive(sbbna)
layer[0].stack[3].RemovePrimitive(sbbdna)
except: pass
def __DropBox(X,Y,W,Na,Items,Def=0,Text=''): #__SelectBox
global Widgets,layer,pw,ph
global AllowHitUpdates,noRelease
global pw15,pw5, ph20,ph2
#minor pre-calculations
X2,Y2 = X+(pw*W),Y+ph20
sy = Y2-Y
hsy=sy/2
hsx2 = ((X2+pw15)-X2)/2
#verify the widget exists
try: W=Widgets[Na]
except KeyError:
Widgets[Na]=__Widget()
W=Widgets[Na]
W.info=[Def,False] #[selectionID,isOpen]
W.hitdef.x=X; W.hitdef.y=Y; W.hitdef.X=X2+pw15; W.hitdef.Y=Y2
#update the HitDef if changed by an outside function
if AllowHitUpdates!=W.hitdef.enabled: W.hitdef.enabled=AllowHitUpdates
#drawing data:
sbna='SelectBox%sQuad'%Na
sbfna='SelectBox%sText'%Na
sbbna='SelectBox%sButtonQuad'%Na
sbbdna='SelectBox%sButtonDecal'%Na
if not layer[0].stack[2].HasPrimitive(sbna): #don't draw if we already have
layer[0].stack[2].AddQuad(sbna,[X,Y],[X2,Y],[X2,Y2],[X,Y2],(175,175,175,180))
layer[0].font[0].AddString(pw,ph,sbfna,Text,12,X+pw5,Y+ph2,None,None,(0,0,0,100))
layer[0].stack[2].AddQuad(sbbna,[X2,Y],[X2+pw15,Y],[X2+pw15,Y2],[X2,Y2],(95,95,95,180))
layer[0].stack[3].AddTri(sbbdna,[X2+pw5,(Y+hsy)-ph2],[(X2+pw15)-pw5,(Y+hsy)-ph2],[X2+hsx2,(Y+hsy)+ph2], (63,63,63,180))
SB = layer[0].stack[2].primitives[sbna]
SBF = layer[0].font[0].strings[sbfna]
SBB = layer[0].stack[2].primitives[sbbna]
SBBD = layer[0].stack[3].primitives[sbbdna]
#Positioning Verification
if SB.Position([X,Y],[X2,Y],[X2,Y2],[X,Y2]):
SBF.Position(pw,ph,X+pw5,Y+ph2,None,None)
SBB.Position([X2,Y],[X2+pw15,Y],[X2+pw15,Y2],[X2,Y2])
SBBD.Position([X2+pw5,(Y+hsy)-ph2],[(X2+pw15)-pw5,(Y+hsy)-ph2],[X2+hsx2,(Y+hsy)+ph2])
#HitDef
if W.hitdef.x!=X: W.hitdef.x=X; W.hitdef.X=X2+pw15
if W.hitdef.y!=Y: W.hitdef.y=Y; W.hitdef.Y=Y2
#Widget logic
if W.event.hasFocus: #change the color if the mouse is over the selection box
if W.event.clickL or W.event.holdL: #change the color if the selection box is clicked or held
SBB.Color(79,79,79,180)
else: SBB.Color(87,87,87,180)
else: SBB.Color(95,95,95,180)
if W.event.releaseL: W.info[1]=True #isOpen = True
State = W.info
if State[1]: #the box has been clicked
AllowHitUpdates=False #prevent hit updates from other widgets
#(once we've made our selection, we can then allow hit updates)
remove=False
for i,v in enumerate(Items):
#generate a custom widget name using the main name, the item's text, and the enumerant value
N = '%s_%s_Sel%i'%(Na,v,i)
#minor pre-calculations
yp=(sy*(i+1))
x1,y1,x2,y2=X,Y+yp,X2,Y2+yp
#we have to create a new widget for each entry here
#verify the widget exists
try: sW=Widgets[N]
except KeyError:
Widgets[N]=__Widget()
sW=Widgets[N]
sW.info=[Def,False] #[selectionID,isOpen]
sW.hitdef.x=x1; sW.hitdef.y=y1; sW.hitdef.X=x2; sW.hitdef.Y=y2
#HitDefs created at this point are always active
#drawing data:
sbsbna='SelectionButton%s'%N
sbsfna='SelectionFont%s'%N
if not layer[0].overlay[0].HasPrimitive(sbsbna):
layer[0].overlay[0].AddQuad(sbsbna,[x1,y1],[x2,y1],[x2,y2],[x1,y2],(0,0,0,127))
layer[0].font[0].AddString(pw,ph,sbsfna,v,12,x1+pw5,y1+ph2,None,None,(255,255,255,100))
sB=layer[0].overlay[0].primitives[sbsbna]
sF=layer[0].font[0].strings[sbsfna]
#we don't need to verify the positioning here... (nothing can be moved at this point)
#Widget logic
if sW.event.hasFocus:
if sW.event.clickL or sW.event.holdL: sB.Color(127,127,127,127); sF.Color(0,0,0,100)
else: sB.Color(191,191,191,127); sF.Color(0,0,0,100)
else: sB.Color(0,0,0,127); sF.Color(255,255,255,100)
#apply the selection and set to remove these widgets when LMB is released
if sW.event.releaseL: W.info=[i,False]; remove=True
#add a few widgets to define the click-off area
#(anywhere on the screen that's not in this widget's range)
# ^clicking will close the widget and keep it at it's current selection
_DAN=['%s_DeActivator%i'%(Na,i) for i in range(4)] #custom deactivator names
#test if these widgets exist
try: R0=Widgets[_DAN[0]]; R1=Widgets[_DAN[1]]; R2=Widgets[_DAN[2]]; R3=Widgets[_DAN[3]]
except KeyError:
Widgets[_DAN[0]]=__Widget()
Widgets[_DAN[1]]=__Widget()
Widgets[_DAN[2]]=__Widget()
Widgets[_DAN[3]]=__Widget()
R0=Widgets[_DAN[0]]; R1=Widgets[_DAN[1]]; R2=Widgets[_DAN[2]]; R3=Widgets[_DAN[3]]
R0.hitdef.x=0.0;R0.hitdef.y=0.0;R0.hitdef.X=X ;R0.hitdef.Y=1.0 #left
R1.hitdef.x=X2 ;R1.hitdef.y=0.0;R1.hitdef.X=1.0;R1.hitdef.Y=1.0 #right
R2.hitdef.x=X ;R2.hitdef.y=0.0;R2.hitdef.X=X2 ;R2.hitdef.Y=Y2 #top (Y2 because the main widget has no control here)
R3.hitdef.x=X ;R3.hitdef.y=y2 ;R3.hitdef.X=X2 ;R3.hitdef.Y=1.0 #bottom
#the logic to test for and execute a click-off (from any mouse button)
if any([R0.event.clickL,R0.event.clickM,R0.event.clickR,
R1.event.clickL,R1.event.clickM,R1.event.clickR,
R2.event.clickL,R2.event.clickM,R2.event.clickR,
R3.event.clickL,R3.event.clickM,R3.event.clickR]):
W.info[1]=False #isOpen = False
remove=True
#we don't need any positioning verification
if remove: #remove the selection widgets and click-off widgets
for i,v in enumerate(Items):
N='%s_%s_Sel%i'%(Na,v,i); sbsbna='SelectionButton%s'%N; sbsfna='SelectionFont%s'%N
layer[0].overlay[0].RemovePrimitive(sbsbna); layer[0].font[0].RemoveString(sbsfna)
Widgets.pop(N)
Widgets.pop(_DAN[0]) #left
Widgets.pop(_DAN[1]) #right
Widgets.pop(_DAN[2]) #top
Widgets.pop(_DAN[3]) #bottom
AllowHitUpdates=True
return State[0]
def __RemoveTButton(Na):
global Widgets,layer
try:
Widgets[Na].hitdef.enabled=False #disable the hitdef (save the state)
tbna='TButton%sQuad'%Na
tbfna='TButton%sText'%Na
if layer[0].stack[2].HasPrimitive(tbna):
layer[0].stack[2].RemovePrimitive(tbna)
layer[0].font[0].RemoveString(tbfna)
except: pass
def __TButton(X,Y,Na,St=False,Text='',fontcolor=(0,0,0,255)):
global Widgets,layer,pw,ph
global AllowHitUpdates
global pw25,pw20, ph20,ph2
#minor pre-calculations
X2,Y2=X+pw20,Y+ph20
fx,fy=X+pw25,Y+ph2
#verify the widget exists
try: W=Widgets[Na]
except KeyError:
Widgets[Na]=__Widget()
W=Widgets[Na]
W.info=St #toggle state
W.hitdef.x=X; W.hitdef.y=Y; W.hitdef.X=X+pw20; W.hitdef.Y=Y+ph20
#update the HitDef if changed by an outside function
if AllowHitUpdates!=W.hitdef.enabled: W.hitdef.enabled=AllowHitUpdates
#drawing data:
tbna='TButton%sQuad'%Na
tbfna='TButton%sText'%Na
if not layer[0].stack[2].HasPrimitive(tbna): #don't draw if we already have
layer[0].stack[2].AddQuad(tbna,[X,Y],[X2,Y],[X2,Y2],[X,Y2],(95,95,95,180))
layer[0].font[0].AddString(pw,ph,tbfna,Text,12,fx,fy,None,None,fontcolor)
TB = layer[0].stack[2].primitives[tbna]
TBF = layer[0].font[0].strings[tbfna]
#Positioning Verification
if TB.Position([X,Y],[X2,Y],[X2,Y2],[X,Y2]):
TBF.Position(pw,ph,fx,fy,None,None)
#HitDef
if W.hitdef.x!=X: W.hitdef.x=X; W.hitdef.X=X2
if W.hitdef.y!=Y: W.hitdef.y=Y; W.hitdef.Y=Y2
#Widget logic
if W.info:
if W.event.hasFocus: #change the color if the mouse is over the selection box
if W.event.clickL or W.event.holdL: #change the color if the selection box is clicked or held
TB.Color(79,79,79,180)
else: TB.Color(95,95,95,180)
else: TB.Color(79,79,79,180)
else:
if W.event.hasFocus:
if W.event.clickL or W.event.holdL:
TB.Color(79,79,79,180)
else: TB.Color(111,111,111,180)
else: TB.Color(95,95,95,180)
if W.event.releaseL: W.info=(False if W.info else True)
return W.info
def __RemoveButton(Na):
global Widgets,layer
try:
Widgets[Na].hitdef.enabled=False #disable the hitdef (save the state)
bna='Button%sQuad'%Na
bfna='Button%sText'%Na
if layer[0].stack[2].HasPrimitive(bna):
layer[0].stack[2].RemovePrimitive(bna)
layer[0].font[0].RemoveString(bfna)
except: pass
def __Button(X1,Y1,X2,Y2,Na,Text='',Hint='',fontcolor=(0,0,0,255),St=False):
global Widgets,pw,ph,AllowHitUpdates,layer
#verify the widget exists
try: W=Widgets[Na]
except KeyError:
Widgets[Na]=__Widget()
W=Widgets[Na]
W.info=['button',St]
W.hitdef.x=X1; W.hitdef.y=Y1; W.hitdef.X=X2; W.hitdef.Y=Y2
#update the HitDef if changed by an outside function
if AllowHitUpdates!=W.hitdef.enabled: W.hitdef.enabled=AllowHitUpdates
#drawing data:
bna='Button%sQuad'%Na
bfna='Button%sText'%Na
if not layer[0].stack[2].HasPrimitive(bna): #don't draw if we already have
layer[0].stack[2].AddQuad(bna,[X1,Y1],[X2,Y1],[X2,Y2],[X1,Y2],(95,95,95,200))
layer[0].font[0].AddString(pw,ph,bfna,Text,12,X1,Y1,X2,Y2,fontcolor)
B = layer[0].stack[2].primitives[bna]
BF = layer[0].font[0].strings[bfna]
#Positioning Verification
if B.Position([X1,Y1],[X2,Y1],[X2,Y2],[X1,Y2]):
BF.Position(pw,ph,X1,Y1,X2,Y2)
#HitDef
if W.hitdef.x!=X1: W.hitdef.x=X1
if W.hitdef.y!=Y1: W.hitdef.y=Y1
if W.hitdef.X!=X2: W.hitdef.X=X2
if W.hitdef.Y!=Y2: W.hitdef.Y=Y2
#Widget logic
if W.event.hasFocus: #change the color if the mouse is over the button
if W.event.clickL or W.event.holdL: #change the color if the button is clicked or held
B.Color(79,79,79,200)
else: B.Color(87,87,87,200)
else: B.Color(95,95,95,200)
if W.event.releaseL: W.info[1]=True #set the button state as True upon release
return W.info[1]
def __EndButton(Na): #sets button state as False
try:
if type(Widgets[Na].info)==list: #verify this name points to a button:
if Widgets[Na].info[0]=='button': Widgets[Na].info[1]=False
except KeyError: pass #this button may not yet be defined
def __RemoveScrollbar(Na):
global Widgets,layer
try:
Widgets[Na].hitdef.enabled=False #disable the hitdef (save the state)
sbtna='ScrollBar%sTrack'%Na
sbbna='ScrollBar%sButton'%Na
if layer[0].stack[2].HasPrimitive(sbtna):
layer[0].stack[2].RemovePrimitive(sbtna)
layer[0].stack[3].RemovePrimitive(sbbna)
except: pass
def __Scrollbar(X,Y,S,R,Na,y=False):
global Widgets,AllowHitUpdates,layer,movementx,movementy
global pw,ph, pw15, ph15
#TODO:
# - scrollbar-track hitdefs
# - R = float()
#verify the widget exists
try: W=Widgets[Na]
except KeyError:
Widgets[Na]=__Widget()
W=Widgets[Na]
W.info=0
#update the HitDef if changed by an outside function
if AllowHitUpdates!=W.hitdef.enabled: W.hitdef.enabled=AllowHitUpdates
if not W.motion: W.motion=True
#minor pre-calculations
BPX1,BPY1,BPX2,BPY2=X,Y,X+pw15,Y+ph15
P=W.info
if y: p=P*ph; Y2=Y+S; X2=BPX2; BPY1+=p; BPY2+=p; PR=ph
else: p=P*pw; X2=X+S; Y2=BPY2; BPX1+=p; BPX2+=p; PR=pw
#drawing data:
sbtna='ScrollBar%sTrack'%Na
sbbna='ScrollBar%sButton'%Na
if not layer[0].stack[2].HasPrimitive(sbtna): #don't draw if we already have
layer[0].stack[2].AddQuad(sbtna,[X,Y],[X2,Y],[X2,Y2],[X,Y2], (95,95,95,180))
layer[0].stack[3].AddQuad(sbbna,[BPX1,BPY1],[BPX2,BPY1],[BPX2,BPY2],[BPX1,BPY2],(143,143,143,180))
SBT=layer[0].stack[2].primitives[sbtna]
SBB=layer[0].stack[3].primitives[sbbna]
#Positioning Verification
SBT.Position([X,Y],[X2,Y],[X2,Y2],[X,Y2])
SBB.Position([BPX1,BPY1],[BPX2,BPY1],[BPX2,BPY2],[BPX1,BPY2])
#HitDef
if W.hitdef.x!=BPX1: W.hitdef.x=BPX1; W.hitdef.X=BPX2
if W.hitdef.y!=BPY1: W.hitdef.y=BPY1; W.hitdef.Y=BPY2
#Widget logic
if W.event.hasFocus: #change the color if the mouse is over the button
if W.event.clickL or W.event.holdL: #change the color if the button is clicked or held
SBB.Color(159,159,159,180)
else: SBB.Color(175,175,175,180)
else: SBB.Color(167,167,167,180)
m,s = (movementy,int(S/ph)-15) if y else (movementx,int(S/pw)-15)
if W.event.holdL:
if m!=None:
W.info=m-(Y/ph) if y else m-(X/pw)
if W.info>s: W.info=s
elif W.info<0: W.info=0
#scale the range itself:
return -(int(R*((1./s)*W.info))*PR) # -(int(200*0.5)*pw) = -100 (shift left by 100 pixels)
#-----------------------------------
#panel drawing functions and sub-functions
def __RemoveModelManageTab():
__RemoveButton("ModelImportButton")
__RemoveScrollbar('ModelManageTabSBar')
def __DrawModelManageTab():
__RemoveModelFeaturesTab()
__RemoveModelExportTab()
global pw172,pw140,pw40, ph104,ph72,ph52
P=__Scrollbar(pw172,ph52,1.-ph104,240,'ModelManageTabSBar',True)
if __Button(pw40,ph52+P,pw140,ph72+P,"ModelImportButton","Import","",(230,230,230,255)):
__EndButton("ModelImportButton")
def __DrawModelFeaturesTab():
__RemoveModelManageTab()
__RemoveModelExportTab()
pass
def __RemoveModelFeaturesTab():
pass
def __DrawModelExportTab():
__RemoveModelManageTab()
__RemoveModelFeaturesTab()
#__BrowseBar(pw10,ph40,180) #Model Export Path
pass
def __RemoveModelExportTab():
pass
ActiveModelTab=0
def __RemoveModelPanel():
global ActiveModelTab
__RemoveButton("ModelManageSlot")
__RemoveButton("ModelFeaturesSlot")
__RemoveButton("ModelExportSlot")
if ActiveModelTab==0: __RemoveModelManageTab()
elif ActiveModelTab==1: __RemoveModelFeaturesTab()
elif ActiveModelTab==2: __RemoveModelExportTab()
def __ModelPanel():
global ActiveModelTab
global pw210,pw160,pw50, ph83,ph82,ph63,ph62,ph42,ph41,ph21,ph20
MB0 = __Button(0.,ph21,pw210,ph41,"ModelManageSlot","Models","",(230,230,230,255),True)
MB1 = __Button(0.,(1.-ph41 if MB0 else ph42), pw210,(1.-ph21 if MB0 else ph62),"ModelFeaturesSlot","Features","",(230,230,230,255))
MB2 = __Button(0.,(1.-ph20 if MB0 or MB1 else ph63), pw210,(1. if MB0 or MB1 else ph83),"ModelExportSlot","Export","",(230,230,230,255))
if MB0 and MB1: #switch logic
if ActiveModelTab==0: ActiveModelTab=1; __EndButton("ModelManageSlot")
else: ActiveModelTab=0; __EndButton("ModelFeaturesSlot")
if MB0 and MB2:
if ActiveModelTab==0: ActiveModelTab=2; __EndButton("ModelManageSlot")
else: ActiveModelTab=0; __EndButton("ModelExportSlot")
if MB1 and MB2:
if ActiveModelTab==1: ActiveModelTab=2; __EndButton("ModelFeaturesSlot")
else: ActiveModelTab=1; __EndButton("ModelExportSlot")
#draw widgets based on the active button
if ActiveModelTab==0: __DrawModelManageTab()
elif ActiveModelTab==1: __DrawModelFeaturesTab()
elif ActiveModelTab==2: __DrawModelExportTab()
def __DrawAnimManageTab():
__RemoveAnimFeaturesTab()
__RemoveAnimExportTab()
global pw160,pw50, ph82,ph62
if __Button(1.-pw160,ph62,1.-pw50,ph82,"AnimImportButton","Import","",(230,230,230,255)):
__EndButton("AnimImportButton")
def __RemoveAnimManageTab():
__RemoveButton("AnimImportButton")
def __DrawAnimFeaturesTab():
__RemoveAnimManageTab()
__RemoveAnimExportTab()
pass
def __RemoveAnimFeaturesTab():
pass
def __DrawAnimExportTab():
__RemoveAnimManageTab()
__RemoveAnimFeaturesTab()
#__BrowseBar(pw10,ph40,180) #Anim Export Path
pass
def __RemoveAnimExportTab():
pass
ActiveAnimTab=0
def __RemoveAnimPanel():
global ActiveAnimTab
__RemoveButton("AnimManageSlot")
__RemoveButton("AnimFeaturesSlot")
__RemoveButton("AnimExportSlot")
if ActiveAnimTab==0: __RemoveAnimManageTab()
elif ActiveAnimTab==1: __RemoveAnimFeaturesTab()
elif ActiveAnimTab==2: __RemoveAnimExportTab()
def __AnimPanel():
global pw,ph,ActiveAnimTab
global pw210,pw160,pw50, ph83,ph82,ph63,ph62,ph42,ph41,ph21,ph20
#__ExPanel(pw*0,ph*21,pw*210,ph*h,1,'MODEL')
AB0 = __Button(1.-pw210,ph21,1.,ph41,"AnimManageSlot","Animations","",(230,230,230,255),True)
AB1 = __Button(1.-pw210,(1.-ph41 if AB0 else ph42),
1.,(1.-ph21 if AB0 else ph62),"AnimFeaturesSlot","Features","",(230,230,230,255))
AB2 = __Button(1.-pw210,(1.-ph20 if AB0 or AB1 else ph63),
1.,(1. if AB0 or AB1 else ph83),"AnimExportSlot","Export","",(230,230,230,255))
if AB0 and AB1: #switch logic
if ActiveAnimTab==0: ActiveAnimTab=1; __EndButton("AnimManageSlot")
else: ActiveAnimTab=0; __EndButton("AnimFeaturesSlot")
if AB0 and AB2:
if ActiveAnimTab==0: ActiveAnimTab=2; __EndButton("AnimManageSlot")
else: ActiveAnimTab=0; __EndButton("AnimExportSlot")
if AB1 and AB2:
if ActiveAnimTab==1: ActiveAnimTab=2; __EndButton("AnimFeaturesSlot")
else: ActiveAnimTab=1; __EndButton("AnimExportSlot")
#draw widgets based on the active button
if ActiveAnimTab==0: __DrawAnimManageTab()
elif ActiveAnimTab==1: __DrawAnimFeaturesTab()
elif ActiveAnimTab==2: __DrawAnimExportTab()
def __RemoveDisplayPanel():
__RemoveTButton('EnLight')
__RemoveTButton('EnWire')
__RemoveDropBox('Draw Bones')
__RemoveDropBox('Display')
__RemoveDropBox('Projection')
__RemoveDropBox('3D Drawing')
__RemoveDropBox('Colors')
__RemoveDropBox('Freq')
__RemoveScrollbar('DisplayPanelSBar')
def __DisplayPanel(X1,X2):
global pw251,pw131,pw11, ph111,ph81,ph56,ph31
global pw
#minor pre-calculations
pwX1251 = X1+pw251
pwX1131 = X1+pw131
pwX111 = X1+pw11
V=__Scrollbar(pwX111,ph111,(X2-pwX111)-pw11,0,'DisplayPanelSBar')
VIEWER.TOGGLE_LIGHTING=__TButton(pwX111,ph31,'EnLight',True,'Lighting')
VIEWER.TOGGLE_WIREFRAME=__TButton(pwX111,ph56,'EnWire',False,'Wireframe')
VIEWER.TOGGLE_BONES=__DropBox(pwX111,ph81,100,'Draw Bones',['None','Standard','Overlay (X-Ray)'],0)
#reversed drawing order left
if VIEWER.TOGGLE_3D==2: __RemoveDropBox('Colors'); VIEWER.TOGGLE_3D_MODE[1]=[1./60,1./120][__DropBox(pwX1251,ph81,50,'Freq',['60hz','120hz'],0)]
if VIEWER.TOGGLE_3D==1: __RemoveDropBox('Freq'); VIEWER.TOGGLE_3D_MODE[0]=__DropBox(pwX1251,ph81,50,'Colors',['R|GB','G|RB','B|RG'],0)
VIEWER.TOGGLE_3D=__DropBox(pwX1131,ph81,100,'3D Drawing',['Off','Analglyph','Shutter'],0)
VIEWER.TOGGLE_ORTHO=__DropBox(pwX1131,ph56,100,'Projection',['Perspective','Orthographic'],1)
VIEWER.TOGGLE_GRID=[2 if VIEWER.TOGGLE_GRID>2 else VIEWER.TOGGLE_GRID,3,4][__DropBox(pwX1131,ph31,100,'Display',['Grid','Floor','Off'],0)]
def __RemoveControlPanel():
pass
def __ControlPanel(X1,X2):
pass
def __DrawOptionsData():
global layer
#options go here
def __RemoveOptionsData():
global layer
def __DrawUpdateData():
global layer,pw,ph
global ph20
if not layer[0].font[0].HasString('UpdateDevelopmentString'):
layer[0].font[0].AddString(pw,ph,'UpdateDevelopmentString',
"The Update system is still in development.",
16,0.0,0.0,1.0,1-ph20,(0,0,0,127))
def __RemoveUpdateData(): #verify if anything is used by the update panel and remove it if so.
global layer
if layer[0].font[0].HasString('UpdateDevelopmentString'):
layer[0].font[0].RemoveString('UpdateDevelopmentString')
def __OpenOptionsUpdatePanel():
global pw,ph
global pw13,pw10,pw7, ph20,ph14,ph13,ph7,ph6
#update the decal coords to match the button positions
OBD=layer[0].stack[3].primitives['OptionButtonDecal']
UND=layer[0].stack[3].primitives['UpdateNotificationDecal']
#move to bottom
OBD.Position([0.5-pw10,1-ph6],[0.5+pw10,1-ph6],[0.5,1-ph14])
UND.Position([1-pw13,1-ph13],[1-pw7,1-ph13],[1-pw7,1-ph7],[1-pw13,1-ph7])
def __CloseOptionsUpdatePanel():
global pw,ph
global pw13,pw10,pw7, ph20,ph14,ph13,ph7,ph6
if layer[0].stack[0].HasPrimitive('OptionsUpdatePanelBG'): #remove the BG
layer[0].stack[0].RemovePrimitive('OptionsUpdatePanelBG')
__RemoveUpdateData(); __RemoveOptionsData() #remove any active display data
#update the decal coords to match the button positions
OBD=layer[0].stack[3].primitives['OptionButtonDecal']
UND=layer[0].stack[3].primitives['UpdateNotificationDecal']
#move buttons to top
OBD.Position([0.5-pw10,ph6],[0.5+pw10,ph6],[0.5,ph14])
UND.Position([1-pw13,ph7],[1-pw7,ph7],[1-pw7,ph13],[1-pw13,ph13])
OptionsUpdatePanelExpensionState=False #long var names won't easily get used
OptionsUpdatePanelButton=0 #ID of current button pressed (used when clicking another button)
def __OptionsUpdatePanel():
global pw,ph,OptionsUpdatePanelExpensionState,OptionsUpdatePanelButton,layer
global pw21,pw20,pw13,pw10,pw7, ph20,ph14,ph13,ph7,ph6
PES=OptionsUpdatePanelExpensionState #short local name from long global name
#verify we have the needed stack layers for drawing
#layer[0].stack[0] is used for basic BG drawing
try: layer[0].stack[1] #used for sub-BG widgets such as scroll-boxes
except KeyError: layer[0].AddStack()
try: layer[0].stack[2] #used for basic overlay widgets such as buttons
except KeyError: layer[0].AddStack()
try: layer[0].stack[3] #used for special decals drawn on overlay widgets
except KeyError: layer[0].AddStack()
if not layer[0].stack[3].HasPrimitive('OptionButtonDecal'):
if PES:
layer[0].stack[3].AddTri('OptionButtonDecal',
[0.5-pw10,1-ph6],[0.5+pw10,1-ph6],[0.5,1-ph14], (63,63,63,180))
layer[0].stack[3].AddQuad('UpdateNotificationDecal',
[1-pw13,1-ph13],[1-pw7,1-ph13],[1-pw7,1-ph7],[1-pw13,1-ph7], (255,63,63,200))
else:
layer[0].stack[3].AddTri('OptionButtonDecal',
[0.5-pw10,ph6],[0.5+pw10,ph6],[0.5,ph14], (63,63,63,180))
layer[0].stack[3].AddQuad('UpdateNotificationDecal',
[1-pw13,ph7],[1-pw7,ph7],[1-pw7,ph13],[1-pw13,ph13], (255,63,63,200))
if PES: #option/update panel is expanded:
Y = 1.0
'''
if OptionsUpdatePanelButton==0: #options panel drawing:
__RemoveUpdateData(); __DrawOptionsData()
elif OptionsUpdatePanelButton==1: #update panel drawing:
__RemoveOptionsData(); __DrawUpdateData()
'''
if not layer[0].stack[0].HasPrimitive('OptionsUpdatePanelBG'): #create the BG
layer[0].stack[0].AddQuad('OptionsUpdatePanelBG',
[0.0,0.0],[1.0,0.0],[1.0,1-ph20],[0.0,1-ph20],
(127,127,127,200))
else: #create new or modify existing decals
Y = ph20
if __Button(0.0,Y-ph20,1-pw21,Y,"OptionsPanelToggle","","Options",(230,230,230,200)):
if not OptionsUpdatePanelExpensionState: #open panel
OptionsUpdatePanelExpensionState=True
OptionsUpdatePanelButton=0
__OpenOptionsUpdatePanel()
__DrawOptionsData()
elif OptionsUpdatePanelButton==0: #close panel
OptionsUpdatePanelExpensionState=False
__RemoveOptionsData()
__CloseOptionsUpdatePanel()
else: #switch to options
OptionsUpdatePanelButton=0
__RemoveUpdateData()
__DrawOptionsData()
__EndButton("OptionsPanelToggle")
if __Button(1-pw20,Y-ph20,1.0,Y,"UpdatePanelToggle","","Updates",(230,230,230,200)):
if not OptionsUpdatePanelExpensionState: #open panel
OptionsUpdatePanelExpensionState=True
OptionsUpdatePanelButton=1
__OpenOptionsUpdatePanel()
__DrawUpdateData()
elif OptionsUpdatePanelButton==1: #close panel
OptionsUpdatePanelExpensionState=False
__RemoveUpdateData()
__CloseOptionsUpdatePanel()
else: #switch to update
OptionsUpdatePanelButton=1
__RemoveOptionsData()
__DrawUpdateData()
__EndButton("UpdatePanelToggle")
return PES
#-----------------------------------
def __RemoveExPanel(Na):
global Widgets,layer
try:
Widgets[Na].hitdef.enabled=False #disable the hitdef (save the state)
ebna='EButton%sQuad'%Na
ebdna='EButton%sDecal'%Na
if layer[0].stack[2].HasPrimitive(ebna):
layer[0].stack[2].RemovePrimitive(ebna)
layer[0].stack[3].RemovePrimitive(ebdna)
if layer[0].stack[0].HasPrimitive(Na): layer[0].stack[0].RemovePrimitive(Na)
except: pass
def __ExPanel(X1,Y1,X2,Y2,EB,Na,MX=0.,MY=0.,St=True): #returns current state for other panels
#MX and XY are for outside influence on the toggle button
global Widgets,layer,pw,ph
global AllowHitUpdates
global pw35,pw30,pw25,pw15,pw10,pw5, ph35,ph30,ph25,ph15,ph10,ph5
#minor pre-calculations
sx=X2-X1; sy=Y2-Y1
#verify the widget exists
try: W=Widgets[Na]
except KeyError:
Widgets[Na]=__Widget()
W=Widgets[Na]
W.info=St #toggle state
#update the HitDef if changed by an outside function
if AllowHitUpdates!=W.hitdef.enabled: W.hitdef.enabled=AllowHitUpdates
S=W.info
#60x15px rectangle calculations (toggle button)
if (EB==0 and S) or (EB==2 and not S): #top
xpos=X1+(sx/2)+MX
EBX1,EBY1,EBX2,EBY2=xpos-pw30,Y1,xpos+pw30,Y1+ph15
TPX1,TPY1,TPX2,TPY2,TPX3,TPY3=xpos,Y1+ph10,xpos-pw5,Y1+ph5,xpos+pw5,Y1+ph5
elif (EB==1 and S) or (EB==3 and not S): #right
ypos=Y1+(sy/2)+MY
EBX1,EBY1,EBX2,EBY2=X2-pw15,ypos-ph30,X2,ypos+ph30
TPX1,TPY1,TPX2,TPY2,TPX3,TPY3=X2-pw10,ypos,X2-pw5,ypos-pw5,X2-pw5,ypos+pw5
elif (EB==2 and S) or (EB==0 and not S): #bottom
xpos=X1+(sx/2)+MX
EBX1,EBY1,EBX2,EBY2=xpos-pw30,Y2-ph15,xpos+pw30,Y2
TPX1,TPY1,TPX2,TPY2,TPX3,TPY3=xpos,Y2-ph10,xpos+pw5,Y2-ph5,xpos-pw5,Y2-ph5
elif (EB==3 and S) or (EB==1 and not S): #left
ypos=Y1+(sy/2)+MY
EBX1,EBY1,EBX2,EBY2=X1,ypos-ph30,X1+pw15,ypos+ph30
TPX1,TPY1,TPX2,TPY2,TPX3,TPY3=X1+pw10,ypos,X1+pw5,ypos-pw5,X1+pw5,ypos+pw5
#drawing data:
ebna='EButton%sQuad'%Na
ebdna='EButton%sDecal'%Na
if not layer[0].stack[2].HasPrimitive(ebna): #don't draw if we already have
layer[0].stack[2].AddQuad(ebna,[EBX1,EBY1],[EBX2,EBY1],[EBX2,EBY2],[EBX1,EBY2],(95,95,95,200))
layer[0].stack[3].AddTri(ebdna,[TPX1,TPY1],[TPX2,TPY2],[TPX3,TPY3],(63,63,63,180))
if S: #is the panel expanded?
if not layer[0].stack[0].HasPrimitive(Na): #add the BG
layer[0].stack[0].AddQuad(Na,[X1,Y1],[X2,Y1],[X2,Y2],[X1,Y2],(127,127,127,200))
else: #remove the BG
if layer[0].stack[0].HasPrimitive(Na): layer[0].stack[0].RemovePrimitive(Na)
B = layer[0].stack[2].primitives[ebna]
BD = layer[0].stack[3].primitives[ebdna]
#Positioning Verification
if B.Position([EBX1,EBY1],[EBX2,EBY1],[EBX2,EBY2],[EBX1,EBY2]):
BD.Position([TPX1,TPY1],[TPX2,TPY2],[TPX3,TPY3])
if layer[0].stack[0].HasPrimitive(Na): layer[0].stack[0].primitives[Na].Position([X1,Y1],[X2,Y1],[X2,Y2],[X1,Y2])
#HitDef
if W.hitdef.x!=EBX1: W.hitdef.x=EBX1; W.hitdef.X=EBX2
if W.hitdef.y!=EBY1: W.hitdef.y=EBY1; W.hitdef.Y=EBY2
#Widget logic
if W.event.hasFocus: #change the color if the mouse is over the button
if W.event.clickL or W.event.holdL: #change the color if the button is clicked or held
B.Color(79,79,79,200)
else: B.Color(87,87,87,200)
else: B.Color(95,95,95,200)
if W.event.releaseL: W.info=not W.info
return S
#-----------------------------------
#input functions:
def __FrameCheck(): #where most of the widget-event state-logic happens.
#the functions below simply handle base-state functions
#a frame must pass before the base state can be reverted (where this function comes in)
global Widgets,motionx,motiony,movementx,movementy
for WN in Widgets:
W=Widgets[WN]
#check for a click event: (transfer click to hold)
if W.event.clickL: W.event.clickL=False; W.event.holdL=True
if W.event.clickM: W.event.clickM=False; W.event.holdM=True
if W.event.clickR: W.event.clickR=False; W.event.holdR=True
#check for a release event: (disable the hold-state)
if W.event.releaseL: W.event.releaseL=False; W.event.holdL=False
if W.event.releaseM: W.event.releaseM=False; W.event.holdM=False
if W.event.releaseR: W.event.releaseR=False; W.event.holdR=False
#check for a scroll event:
if W.event.scrollU: W.event.scrollU=False
if W.event.scrollD: W.event.scrollD=False
#check for a key press event: (transfer press to hold)
if W.event.keyPress: W.event.keyPress=False; W.event.keyHold=True
#check for a key release event: (disable the hold-state)
if W.event.keyRelease: W.event.keyRelease=False; W.event.keyHold=False; W.key=None
#check for a mouse-focus event:
if W.event.gainFocus: W.event.gainFocus=False; W.event.hasFocus=True
if W.event.loseFocus:
W.event.loseFocus=False
W.event.hasFocus=False
#don't remember click events if we lose focus
W.event.holdL=False
W.event.holdM=False
W.event.holdR=False
#check for mouse drag and reset:
if motionx!=None: motionx=None
if motiony!=None: motiony=None
if movementx!=None: movementx=None
if movementy!=None: movementy=None
doFrameCheck=False
def __Click(b,x,y):
global Widgets,doFrameCheck
first=True
for WN in Widgets:
W=Widgets[WN]; HD=W.hitdef
if HD.enabled:
X1,Y1,X2,Y2=HD.x,HD.y,HD.X,HD.Y
if X1<x<X2 and Y1<y<Y2 and first: # first enabled Widget clicked
if b==1: W.event.clickL=True; doFrameCheck=True
if b==2: W.event.clickM=True; doFrameCheck=True
if b==3: W.event.clickR=True; doFrameCheck=True
#scrolling:
if b==4: W.event.scrollU=True; doFrameCheck=True
if b==5: W.event.scrollD=True; doFrameCheck=True
first=False #only perform operations on the first widget
def __Release(b,x,y):
global Widgets,doFrameCheck,noRelease
first=True
for WN in Widgets:
W=Widgets[WN]; HD=W.hitdef
if HD.enabled:
X1,Y1,X2,Y2=HD.x,HD.y,HD.X,HD.Y
if X1<x<X2 and Y1<y<Y2 and first: # first enabled Widget released
if b==1: W.event.releaseL=True; doFrameCheck=True
if b==2: W.event.releaseM=True; doFrameCheck=True
if b==3: W.event.releaseR=True; doFrameCheck=True
#scrolling is managed by "__FrameCheck", so it's not needed here
first=False
def __Motion(b,x,y,rx,ry):
#rx,ry - the number of pixels the mouse has moved (float values)
global Widgets,doFrameCheck,motionx,motiony
motionx,motiony=rx,ry
movementx,movementy=x,y
_x=x*pw; _y=y*ph
for WN in Widgets:
W=Widgets[WN]; HD=W.hitdef
if HD.enabled:
X1,Y1,X2,Y2=HD.x,HD.y,HD.X,HD.Y
if X1<_x<X2 and Y1<_y<Y2: W.event.gainFocus=True; doFrameCheck=True
else:
if W.event.hasFocus: W.event.loseFocus=True; doFrameCheck=True
def __KeyPress(k):
global Widgets,doFrameCheck
for WN in Widgets:
W=Widgets[WN]
if W.allowKeys:
W.event.keyPress=True; doFrameCheck=True
W.key=k
def __KeyRelease(k):
global Widgets,doFrameCheck
for WN in Widgets:
W=Widgets[WN]
if W.allowKeys:
W.event.keyRelease=True; doFrameCheck=True
W.key=k
#-----------------------------------
#main functions:
def __ResizeGUI(w,h):
global pw,ph,layer
#using floats will cause a more accurate edge-blur between panels when the screen is resized
pw,ph=1./w,1./h
#using ints won't look as pretty, but you won't need the extra calculations (TODO: add in options)
#positioning pre-calculations
#(1.0/ScreenWidth)*PixelWidth
global pw600; pw600 = pw*600
global pw251; pw251 = pw*251
global pw228; pw228 = pw*228
global pw211; pw211 = pw*211
global pw210; pw210 = pw*210
global pw172; pw172 = pw*172
global pw160; pw160 = pw*160
global pw140; pw140 = pw*140
global pw131; pw131 = pw*131
global pw105; pw105 = pw*105
global pw50; pw50 = pw*50
global pw40; pw40 = pw*40
global pw35; pw35 = pw*35
global pw30; pw30 = pw*30
global pw25; pw25 = pw*25
global pw21; pw21 = pw*21
global pw20; pw20 = pw*20
global pw17; pw17 = pw*17
global pw15; pw15 = pw*15
global pw13; pw13 = pw*13
global pw11; pw11 = pw*11
global pw10; pw10 = pw*10
global pw7; pw7 = pw*7
global pw5; pw5 = pw*5
#(1.0/ScreenHeight)*PixelHeight
global ph600; ph600 = ph*600
global ph167; ph167 = ph*167
global ph150; ph150 = ph*150
global ph111; ph111 = ph*111
global ph104; ph104 = ph*104
global ph83; ph83 = ph*83
global ph82; ph82 = ph*82
global ph81; ph81 = ph*81
global ph72; ph72 = ph*72
global ph63; ph63 = ph*63
global ph62; ph62 = ph*62
global ph56; ph56 = ph*56
global ph52; ph52 = ph*52
global ph42; ph42 = ph*42
global ph41; ph41 = ph*41
global ph35; ph35 = ph*35
global ph31; ph31 = ph*31
global ph30; ph30 = ph*30
global ph21; ph21 = ph*21
global ph25; ph25 = ph*25
global ph20; ph20 = ph*20
global ph17; ph17 = ph*17
global ph15; ph15 = ph*15
global ph14; ph14 = ph*14
global ph13; ph13 = ph*13
global ph11; ph11 = ph*11
global ph10; ph10 = ph*10
global ph7; ph7 = ph*7
global ph6; ph6 = ph*6
global ph5; ph5 = ph*5
global ph2; ph2 = ph*2
for lid in layer: layer[lid].clear()
showHitDefs=0
__TextureCache={}
lw,lh = 0,0
def __DrawGUI(RotMatrix): #called directly by the display function after drawing the scene
global pw,ph,lw,lh,layer
global pw600,pw228,pw211,pw210,pw105,pw17, ph600,ph167,ph150,ph21,ph17,ph11
#the GUI is drawn over the scene by clearing the depth buffer
__GL.glMatrixMode(__GL.GL_PROJECTION)
__GL.glLoadIdentity()
__GL.glOrtho(0.0, 1.0, 1.0, 0.0, -100, 100)
__GL.glMatrixMode(__GL.GL_MODELVIEW)
__GL.glLoadIdentity()
__GL.glClear( __GL.GL_DEPTH_BUFFER_BIT )
__GL.glDisable(__GL.GL_TEXTURE_2D)
__GL.glDisable(__GL.GL_LIGHTING)
M,A,D,C=False,False,False,False
if __OptionsUpdatePanel():
__RemoveModelPanel()
__RemoveExPanel('MODEL')
__RemoveAnimPanel()
__RemoveExPanel('ANIM')
__RemoveDisplayPanel()
__RemoveExPanel('DSPL')
__RemoveControlPanel()
__RemoveExPanel('CTRL')
else:
M = __ExPanel(0.,ph21,pw210,1.,1,'MODEL',0.,-ph11)
if M: __ModelPanel()
else: __RemoveModelPanel()
A = __ExPanel(1.-pw210,ph21,1.,1.,3,'ANIM',0.,-ph11)
if A: __AnimPanel()
else: __RemoveAnimPanel()
DCX1,DCX2=pw210 if M else 0.,1.-pw210 if A else 1.
D = __ExPanel(pw211 if M else 0.,ph21,1.-pw211 if A else 1.,ph150,2,'DSPL',(0. if M else pw105)+(0. if A else -pw105))
if D: __DisplayPanel(DCX1,DCX2)
else: __RemoveDisplayPanel()
C = __ExPanel(pw211 if M else 0.,1.-ph150,1.-pw211 if A else 1.,1.,0,'CTRL',(0. if M else pw105)+(0. if A else -pw105))
if C: __ControlPanel(DCX1,DCX2)
else: __RemoveControlPanel()
__GL.glDisable(__GL.GL_BLEND)
#axis
#TODO: use a GL display list for this:
__GL.glLineWidth(1.0)
__GL.glPushMatrix()
__GL.glTranslatef(pw228 if M else pw17,1-(ph167 if C else ph17),0)
__GL.glScalef(pw600,ph600,1)
__GL.glMultMatrixf(RotMatrix)
__GL.glColor3f(1.0,0.0,0.0)
__GL.glBegin(__GL.GL_LINES); __GL.glVertex3f(0.0,0.0,0.0); __GL.glVertex3f(0.02,0.0,0.0); __GL.glEnd() #X
__GL.glTranslatef(0.0145,0.0,0.0); __GL.glRotatef(90, 0.0, 1.0, 0.0)
#__GLUT.glutSolidCone(0.003, 0.011, 8, 1)
__GL.glRotatef(-90, 0.0, 1.0, 0.0); __GL.glTranslatef(-0.0145,0.0,0.0)
__GL.glColor3f(0.0,1.0,0.0)
__GL.glBegin(__GL.GL_LINES); __GL.glVertex3f(0.0,0.0,0.0); __GL.glVertex3f(0.0,-0.02,0.0); __GL.glEnd() #Y
__GL.glTranslatef(0.0,-0.0145,0.0); __GL.glRotatef(90, 1.0, 0.0, 0.0)
#__GLUT.glutSolidCone(0.003, 0.011, 8, 1)
__GL.glRotatef(-90, 1.0, 0.0, 0.0); __GL.glTranslatef(0.0,0.0145,0.0)
__GL.glColor3f(0.0,0.0,1.0)
__GL.glBegin(__GL.GL_LINES); __GL.glVertex3f(0.0,0.0,0.0); __GL.glVertex3f(0.0,0.0,0.02); __GL.glEnd() #Z
__GL.glTranslatef(0.0,0.0,0.0145)
#__GLUT.glutSolidCone(0.003, 0.011, 8, 1)
__GL.glTranslatef(0.0,0.0,-0.0145)
__GL.glColor3f(0.5,0.5,0.5) ; #__GLUT.glutSolidSphere(0.003, 8, 4)
__GL.glPopMatrix()
global __TextureCache
__GL.glEnable(__GL.GL_BLEND)
for lid in layer:
l=layer[lid]
__GL.glEnable(__GL.GL_DEPTH_TEST)
sl=len(l.stack)-1
#print 'layer[%i]:'%lid
#print '%i stack layers:'%(sl+1)
for sid in l.stack: #the hash order shold already order as 0+ (0 being the BG, [-1] the FG)
#reverse the order (draw FG first at highest point then draw BG(s) behind FG)
n=sl-sid; d=(n)*.01
sprimitives=l.stack[n].primitives
#print ' stack[%i] - %i primitives:'%(n,len(sprimitives))
for spname in sprimitives:
#print ' "%s"'%spname
p=sprimitives[spname] #localize the primitive for easy reference
__GL.glColor4f(p.r,p.g,p.b,p.a)
if p.isTri: __GL.glBegin(__GL.GL_TRIANGLES); __GL.glVertex3fv(p.v1+[d]); __GL.glVertex3fv(p.v2+[d]); __GL.glVertex3fv(p.v3+[d]); __GL.glEnd()
else: __GL.glBegin(__GL.GL_QUADS); __GL.glVertex3fv(p.v1+[d]); __GL.glVertex3fv(p.v2+[d]); __GL.glVertex3fv(p.v3+[d]); __GL.glVertex3fv(p.v4+[d]); __GL.glEnd()
__GL.glDisable(__GL.GL_DEPTH_TEST)
#print '%i ovarlay/font layers:'%len(l.overlay)
for oid in l.overlay:
oprimitives=l.overlay[oid].primitives
#print ' overlay[%i] - %i primitives:'%(oid,len(oprimitives))
for opname in oprimitives:
#print ' "%s"'%opname
p=oprimitives[opname] #localize the primitive for easy reference
__GL.glColor4f(p.r,p.g,p.b,p.a)
if p.isTri: __GL.glBegin(__GL.GL_TRIANGLES); __GL.glVertex2fv(p.v1); __GL.glVertex2fv(p.v2); __GL.glVertex2fv(p.v3); __GL.glEnd()
else: __GL.glBegin(__GL.GL_QUADS); __GL.glVertex2fv(p.v1); __GL.glVertex2fv(p.v2); __GL.glVertex2fv(p.v3); __GL.glVertex2fv(p.v4); __GL.glEnd()
#TODO: set up an array of globally indexed named display lists for each character of a specified font size
#to achieve this, we want to collect the font, the size, and the text for every font instance in the layers,
#test if those fonts exist as a series of named indecies for display list dictionaries,
#and create them if not
#font=fonts['name'].
"""
__GL.glEnable(__GL.GL_TEXTURE_2D)
strings=l.font[oid].strings
#print ' font[%i] - %i strings:'%(oid,len(strings))
for sname in strings:
#print ' "%s"'%sname
s=strings[sname] #localize
_TCName = '%s%s'%(sname,s.text)
if _TCName not in __TextureCache: #generate a new GL texture object
#__GL.glActiveTexture(__GL.GL_TEXTURE0)
if s.enabled:
__GL.glColor4f(s.r,s.g,s.b,s.a)
'''
__GL.glRasterPos2f(s.x,s.y)
__GL.glDrawPixels(s.w,s.h,__GL.GL_ALPHA,__GL.GL_UNSIGNED_BYTE,s.tid)
'''
__GL.glBindTexture( __GL.GL_TEXTURE_2D, s.tid )
__GL.glBegin(__GL.GL_QUADS)
__GL.glTexCoord2f(0.0,0.0); __GL.glVertex2f(s.x,s.y)
__GL.glTexCoord2f(1.0,0.0); __GL.glVertex2f(s.X,s.y)
__GL.glTexCoord2f(1.0,1.0); __GL.glVertex2f(s.X,s.Y)
__GL.glTexCoord2f(0.0,1.0); __GL.glVertex2f(s.x,s.Y)
__GL.glEnd()
#'''
else: pass
__GL.glDisable(__GL.GL_TEXTURE_2D)
"""
#raw_input()
#for debugging: (draw the active HitDefs)
global showHitDefs,Widgets
if showHitDefs:
__GL.glDisable(__GL.GL_BLEND)
for wname in Widgets:
W=Widgets[wname]
HD=W.hitdef
if HD.enabled:
__GL.glLineWidth(1.5)
x=HD.x; y=HD.y; X=HD.X; Y=HD.Y
__GL.glBegin(__GL.GL_LINE_LOOP)
__GL.glColor3f(1 if W.event.hasFocus else 0,1,0) #hitdef will be yellow if focused on
__GL.glVertex2f(x,y); __GL.glVertex2f(X,y)
__GL.glVertex2f(X,Y); __GL.glVertex2f(x,Y)
__GL.glEnd()
__GL.glLineWidth(1.0)
global doFrameCheck
if doFrameCheck: __FrameCheck(); doFrameCheck=False
def __initGUI():
__pyg.font.init()
#__GL.glTexEnvf( __GL.GL_TEXTURE_ENV, __GL.GL_TEXTURE_ENV_MODE, __GL.GL_MODULATE ) | {
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""" 1: Object-Oriented Programming
Some examples of Object-Oriented programming with
Python
thomas moll 2015
"""
class Vehicle(object):
number_of_wheels = None
def __init__(self, name):
self.name = name
def __str__(self):
return 'Type: '+str(self.__class__)+' Name: '+self.name
@property
def name(self):
return self._name
@name.setter
def name(self, new_value):
if len(new_value) > 3:
self._name = new_value
else:
raise ValueError("Name length must be greater than 5 characters")
def vroom(self):
raise NotImplementedError("A generic vehicle doesn't make a sound!")
class Car(Vehicle):
def __init__(self, name):
super(Car, self).__init__(name)
self.number_of_wheels = 4
def vroom(self):
return 'Put Put Put'
class Truck(Vehicle):
def __init__(self,name):
super(Truck, self).__init__(name)
self.number_of_wheels = 18
def vroom(self):
return 'Vroooooom'
| {
"repo_name": "ston380/Data-Structure-Zoo",
"path": "0-Object-Oriented Programming/objects.py",
"copies": "15",
"size": "1090",
"license": "mit",
"hash": 8236681032901480000,
"line_mean": 21.6956521739,
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"has_no_keywords": false,
"few_assignments": false,
"quality_score": 1,
"avg_score": null,
"num_lines": null
} |
#~ 1) On line 50 set the server name, at line 54 set hostname, institution, sharedsecret and id (from user management / shared secret)
#~ 2) From cmd c:\python25\python.exe impersonate_generic.py (or F5 from SciTE)
#~ - this will set up a webserver on your machine on port 8000 for the impersonation
#~ 3) Start up a browser session and go to: http://localhost:8000/
#~ 4) You should get a short HTML page with a box and a button. Type the username in the box and press the button.
#~ 5) A hyperlink should appear saying "log in as <username>". Click it.
#~ 6) When you have finished, just close the DOS session and the impersonatron will go away...
import md5
from binascii import b2a_base64
from urllib import urlencode
import time
import BaseHTTPServer
import sys
import cgi
from tleclient30 import createSSOToken
def md5this (s):
m = md5.new ()
m.update (s)
return m.digest ()
class OurHandler (BaseHTTPServer.BaseHTTPRequestHandler):
def do_GET(self):
self.send_response (200)
self.send_header("Content-type", "text/html")
self.end_headers ()
try:
# redirect stdout to client
stdout = sys.stdout
sys.stdout = self.wfile
self.makepage ()
finally:
sys.stdout = stdout # restore
def makepage(self):
idx = self.path.find ('?')
username = None
if idx > 0:
qs = self.path [idx + 1:]
vals = cgi.parse_qs (qs)
if vals.has_key ('username'):
usernames = vals ['username']
if len (usernames):
username = usernames [0]
print "<html>"
print "<body>"
print "<form action='/' method='get'>"
print "Username for <server>: <input type='text' name='username' />"
print "<input type='Submit' value='impersonate' />"
print "</form>"
if username:
print '<a href="%s" target="_blank">Log in as %s</a>' % ('<host>/<institution>/access/Tasks.jsp?%s' % urlencode ({'token': createSSOToken (username, '<sharedsecret>', '<id>')}), username)
print "</body>"
print "</html>"
httpd = BaseHTTPServer.HTTPServer(('', 8000), OurHandler)
httpd.serve_forever()
| {
"repo_name": "equella/Equella",
"path": "Source/Tools/ImportLibraries/Python/impersonate_generic.py",
"copies": "1",
"size": "2020",
"license": "apache-2.0",
"hash": -8269958338410626000,
"line_mean": 32.6666666667,
"line_max": 190,
"alpha_frac": 0.6846534653,
"autogenerated": false,
"ratio": 3.2845528455284554,
"config_test": false,
"has_no_keywords": false,
"few_assignments": false,
"quality_score": 0.4469206310828456,
"avg_score": null,
"num_lines": null
} |
# 1 = only crash errors
# 2 = error + warning
# 3 = All output
error_level = 3
repository = r"C:\tmp\VBad"
#functions available : onClose, onOpen
auto_function_macro = "onOpen"
trigger_close_test_value="True"
trigger_close_test_name = "toto"
#methods available: variables
key_hiding_method = "variable"
#doc_variable options
add_fake_keys = 1
small_keys = 4
big_keys = 3
#options
##use these vulnerability : http://seclists.org/fulldisclosure/2017/Mar/90
##Replace module name that contains effective payload with 0X0A 0X0D. The module becomes invisible from Developper Tools making analyse more complicated :)
delete_module_name = 1
#encryption available : xor
encryption_type = "xor"
encryption_key_length = 50000 #Max is 65280 for Document.Variable method
#Regex
variable_name_ex = "toto"
regex_rand_var = '\[rdm::([0-9]+)\](\w*)' #regex that select the name of the variable, after the delimiter and the length
regex_rand_del = '\[rdm::[0-9]+\]' #regex should select only the delimiter
regex_defaut_string = '"((?:""|[^"])*)"' #Regex selecting all strings in double quotes (including two consecutives double quotes)
regex_exclude_string_del = '\[!!\]' #The exclusion is to avoid vba string that could finish with exclude characters.
exclude_mark = '[!!]'
regex_string_to_hide = '\[var::(\w*)\]'
regex_string_to_hide_find = '\[var::'+variable_name_ex+'\]'
#Office informations
template_file = repository+r"\Example\Template\template.doc" #Path to the template file used for generate malicious files (To be modified)
filename_list = repository+r"\Example\Lists\filename_list.txt" #Path to the list that contains the filename of the malicious files that will be generated (To be modified)
#saving informations
path_gen_files = repository+r"\Example\Results" #Path were results will be saved (To be modified)
#Malicious VBS Information:
#All data you want to encrypt and include in your doc
original_vba_file = repository+r"\Example\Orignal_VBA\original_vba_prepared.vbs" #Path the prepared VBA files (To be modified)
trigger_function_name = "Test" #Function that you want to auto_trigger (in your original_vba_file) (To be modified)
string_to_hide = {"domain_name":"http://www.test.com", "path_to_save":r"C:\tmp\toto"}
| {
"repo_name": "Pepitoh/VBad",
"path": "const.py",
"copies": "1",
"size": "2285",
"license": "mit",
"hash": -8275678165686918000,
"line_mean": 41.1132075472,
"line_max": 170,
"alpha_frac": 0.7207877462,
"autogenerated": false,
"ratio": 3.2183098591549295,
"config_test": false,
"has_no_keywords": false,
"few_assignments": false,
"quality_score": 0.9342809406146402,
"avg_score": 0.01925763984170559,
"num_lines": 53
} |
#1 origional size images, limited to 100 images per page
#1.1 Added links to the bottom of the page to progress through the galleries
#1.2 Resized the images to 200x200 and increased the images to 400 per page
#2 Added logic to chew through the XML files. The program will now go through all the g.sitemap.xxx.xml files.
# This makes it so it searches the entire server of xml filesfor images.
#2.1 Added additional logic so the system will read through all the files on each server. Application starts with 001 on s0001
# continues through to 999 on s9999
#2.2 Added condition to allow you to choose between full server crawl and stop when empty XML file is found.
import urllib
import urllib2
runP = "true"
moreS = "true"
moreF = "true"
numPix = 1
fileNum = 0
xplace1 = 0
xplace2 = 0
xplace3 = 1
sPlace1 = 0
sPlace2 = 0
sPlace3 = 0
sPlace4 = 1
response = urllib2.urlopen("http://s"+str(sPlace1)+str(sPlace2)+str(sPlace3)+str(sPlace4)+".photobucket.com/g.sitemap."+str(xplace1)+str(xplace2)+str(xplace3)+".xml")
http = response.read()
print "Starting at " + "http://s"+str(sPlace1)+str(sPlace2)+str(sPlace3)+str(sPlace4)+".photobucket.com/g.sitemap."+str(xplace1)+str(xplace2)+str(xplace3)+".xml"
###################################################################
# Set to 1 to scan all XML files before going to the next server #
# Set to 2 to stop scanning when a blank XML file is found #
###################################################################
sScan = 2
###################################################################
###################################################################
myOutputFile = open("PBThumb.html", "wb")
#This writes the file as a recognizable HTML file. Load the files in your web browser to view the thumbs.
openingLines = ['\n<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN"', '\n "http://www.w3.org/TR/html4/loose.dtd">', '\n<html lang="en">', '\n', '\n<head>', '\n<meta http-equiv="content-type" content="text/html; charset=utf-8">', '\n<title>Photobucket Thumbs</title>', '\n</head>', '\n', '\n<body>']
closingLines =['\n</body>', '\n</html>']
myOutputFile.writelines(openingLines)
sPix = 1
#The system will continue running until a blank XML file is found or a server error is encountered. No error handling has been included in this to prevent a perpetual loop/
while moreS == "true":
while moreF == "true":
while runP == "true":
if numPix >= 400:
numPix = 0
fileNum = fileNum + 1
myOutputFile.writelines('\n<a href="PBThumb'+str(fileNum)+'.html">Next Page</a>')
myOutputFile.writelines(closingLines)
myOutputFile.close()
myOutputFile = open("PBThumb"+str(fileNum)+".html", "wb")
myOutputFile.writelines(openingLines)
if http.find('image:loc') <= 0:
runP = "false"
startP = http.find('image:loc') + 10
http = http[startP:]
endP = http.find('image:loc') - 2
hName = http[:endP]
if hName != "":
PBLink = '\n<a href="'+hName+'"><img src="'+hName+'" height="200" width="200"></a>'
myOutputFile.writelines(PBLink)
sPix = sPix + 1
numPix = numPix + 1
http = http[endP+12:]
#The following logic increments the XML files.
if xplace3 == 9:
xplace3 = 0
if xplace2 == 9:
xplace2 = 0
if xplace1 == 9:
moreF = "false"
else:
xplace1 = xplace1 + 1
else:
xplace2 = xplace2 + 1
else:
xplace3 = xplace3 + 1
if sScan == 2:
if sPix == 0:
moreF = "false"
#This loads the next XML file and lets the user know what file is being loaded.
response = urllib2.urlopen("http://s"+str(sPlace1)+str(sPlace2)+str(sPlace3)+str(sPlace4)+".photobucket.com/g.sitemap."+str(xplace1)+str(xplace2)+str(xplace3)+".xml")
http = response.read()
print sPix
sPix = 0
if moreF == "true":
print "Moving to " + "http://s"+str(sPlace1)+str(sPlace2)+str(sPlace3)+str(sPlace4)+".photobucket.com/g.sitemap."+str(xplace1)+str(xplace2)+str(xplace3)+".xml"
#Resetting the runP variable so the system will processall the files.
runP = "true"
if sPlace4 == 9:
sPlace4 = 0
if sPlace3 == 9:
sPlace3 = 0
if sPlace2 == 9:
sPlace2 = 0
if sPlace1 == 9:
moreS = "false"
else:
sPlace1 = sPlace1 + 1
else:
sPlace2 = sPlace2 + 1
else:
sPlace3 = sPlace3 + 1
else:
sPlace4 = sPlace4 + 1
xplace1 = 0
xplace2 = 0
xplace3 = 1
moreF = "true"
print "Moving to " + "http://s"+str(sPlace1)+str(sPlace2)+str(sPlace3)+str(sPlace4)+".photobucket.com/g.sitemap."+str(xplace1)+str(xplace2)+str(xplace3)+".xml"
response = urllib2.urlopen("http://s"+str(sPlace1)+str(sPlace2)+str(sPlace3)+str(sPlace4)+".photobucket.com/g.sitemap."+str(xplace1)+str(xplace2)+str(xplace3)+".xml")
http = response.read()
myOutputFile.writelines(closingLines)
myOutputFile.close()
print "Done"
| {
"repo_name": "AlecWallace2001/PBPull",
"path": "PBPull.py",
"copies": "1",
"size": "5411",
"license": "mit",
"hash": 825556795791383200,
"line_mean": 43.3524590164,
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"ratio": 3.4954780361757107,
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"has_no_keywords": false,
"few_assignments": false,
"quality_score": 0.4558959832475711,
"avg_score": null,
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## 1. Overview ##
f = open("dictionary.txt", "r")
vocabulary = f.read()
print(vocabulary)
## 2. Tokenizing the Vocabulary ##
vocabulary = open("dictionary.txt", "r").read()
tokenized_vocabulary = vocabulary.split(" ")
print(tokenized_vocabulary[0:5])
## 3. Replacing Special Characters ##
f = open("story.txt", 'r')
story_string = f.read()
print(story_string)
story_string = story_string.replace(".","")
story_string = story_string.replace(",","")
story_string = story_string.replace("'", "")
story_string = story_string.replace(";", "")
story_string = story_string.replace("\n", "")
print(story_string)
## 5. Practice: Creating a Function that Cleans Text ##
f = open("story.txt", 'r')
story_string = f.read()
def clean_text(text_string):
cleaned_string = text_string.replace(".","")
cleaned_story = clean_text(story_string)
# Solution code.
def clean_text(text_string):
cleaned_string = text_string.replace(".","")
cleaned_string = cleaned_string.replace(",","")
cleaned_string = cleaned_string.replace("'", "")
cleaned_string = cleaned_string.replace(";", "")
cleaned_string = cleaned_string.replace("\n", "")
return(cleaned_string)
cleaned_story = clean_text(story_string)
## 6. Changing Word Case ##
def clean_text(text_string):
cleaned_string = text_string.replace(",","")
cleaned_string = cleaned_string.replace(".","")
cleaned_string = cleaned_string.replace("'", "")
cleaned_string = cleaned_string.replace(";", "")
cleaned_string = cleaned_string.replace("\n", "")
return(cleaned_string)
cleaned_story = clean_text(story_string)
def clean_text(text_string):
cleaned_string = text_string.replace(",","")
cleaned_string = cleaned_string.replace(".","")
cleaned_string = cleaned_string.replace("'", "")
cleaned_string = cleaned_string.replace(";", "")
cleaned_string = cleaned_string.replace("\n", "")
cleaned_string = cleaned_string.lower()
return(cleaned_string)
cleaned_story = clean_text(story_string)
## 7. Multiple Arguments ##
f = open("story.txt", 'r')
story_string = f.read()
clean_chars = [",", ".", "'", ";", "\n"]
# Previous code for clean_text().
def clean_text(text_string):
cleaned_string = text_string.replace(",","")
cleaned_string = cleaned_string.replace(".","")
cleaned_string = cleaned_string.replace("'", "")
cleaned_string = cleaned_string.replace(";", "")
cleaned_string = cleaned_string.replace("\n", "")
cleaned_string = cleaned_string.lower()
return(cleaned_string)
cleaned_story = ""
def clean_text(text_string, special_characters):
cleaned_string = text_string
for string in special_characters:
cleaned_string = cleaned_string.replace(string, "")
cleaned_string = cleaned_string.lower()
return(cleaned_string)
cleaned_story = clean_text(story_string, clean_chars)
print(cleaned_story)
## 8. Tokenizing the Story ##
def clean_text(text_string, special_characters):
cleaned_string = text_string
for string in special_characters:
cleaned_string = cleaned_string.replace(string, "")
cleaned_string = cleaned_string.lower()
return(cleaned_string)
clean_chars = [",", ".", "'", ";", "\n"]
cleaned_story = clean_text(story_string, clean_chars)
def tokenize(text_string, special_characters):
cleaned_story = clean_text(text_string, special_characters)
story_tokens = cleaned_story.split(" ")
return(story_tokens)
tokenized_story = tokenize(story_string, clean_chars)
print(tokenized_story[0:10])
## 9. Finding Misspelled Words ##
def clean_text(text_string, special_characters):
cleaned_string = text_string
for string in special_characters:
cleaned_string = cleaned_string.replace(string, "")
cleaned_string = cleaned_string.lower()
return(cleaned_string)
def tokenize(text_string, special_characters):
cleaned_story = clean_text(text_string, special_characters)
story_tokens = cleaned_story.split(" ")
return(story_tokens)
misspelled_words = []
clean_chars = [",", ".", "'", ";", "\n"]
tokenized_story = tokenize(story_string, clean_chars)
tokenized_vocabulary = tokenize(vocabulary, clean_chars)
for ts in tokenized_story:
if ts not in tokenized_vocabulary:
misspelled_words.append(ts)
print(misspelled_words) | {
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"copies": "1",
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"quality_score": 0.4652690441652559,
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} |
# 1. p:camera The first query returns all records that have the term camera in the product title.
# 2. r:great The second query return all records that have the term great in the review summary or text.
# 3. camera The third query returns all records that have the term camera in one of the fields product title, review summary or review text.
# 4. cam% The fourth query returns all records that have a term starting with cam in one of the fields product title, review summary or review text.
# 5. r:great cam% The fifth query returns all records that have the term great in the review summary or text and a term starting with cam in one of the fields product title, review summary or review text.
# 6. rscore > 4 The sixth query returns all records with a review score greater than 4
# 7. camera rscore < 3 The 7th query is the same as the third query except it returns only those records with a review score less than 3
# 8. pprice < 60 camera The 8th query is the same as the third query except the query only returns those records where price is present and has a value less than 60. Note that there is no index on the price field; this field is checked after retrieving the candidate records using conditions on which indexes are available (e.g. terms).
# 9. camera rdate > 2007/06/20 The 9th query returns the records that have the term camera in one of the fields product title, review summary or review text, and the review date is after 2007/06/20. Since there is no index on the review date, this condition is checked after checking the conditions on terms. Also the review date stored in file reviews.txt is in the form of a timestamp, and the date give in the query must be converted to a timestamp before a comparison (e.g. check out the date object in the datetime package for Python).
# 10. camera rdate > 2007/06/20 pprice > 20 pprice < 60 Finally the last query returns the same set of results as in the 9th query except the product price must be greater than 20 and less than 60.
import re
import time
from IndexDB import *
from rgxHandler import *
from datetime import *
import operator
class Phase3:
reviewsDB = None
ptermsDB = None
rtermsDB = None
scoresDB = None
rgx = None
firstIntersectFlag = False
def __init__(self):
self.rgx = rgxHandler()
def start(self):
print("######################################################")
print("############# PHASE 3 INITIALIZING QUERY #############")
print("######################################################" + '\n')
print("######################################################")
print("############# REVIEW LOOKUP SYSTEM #############")
#print("############# " + "Type 'q!' to quit" + " #############")
print("######################################################" + '\n')
self.reviewsDB = IndexDB('rw.idx')
self.ptermsDB = IndexDB('pt.idx')
self.rtermsDB = IndexDB('rt.idx')
self.scoresDB = IndexDB('sc.idx')
print("Type 'q!' to exit")
def main(self):
while(1):
query = input("Please provide a Query: ")
print("")
if query == "q!":
self.reviewsDB.close()
self.ptermsDB.close()
self.rtermsDB.close()
self.scoresDB.close()
exit()
parsedQuery = self.queryParser(query)
# print(parsedQuery)
listOfReviews = self.getReviews(parsedQuery)
# print(listOfReviews)
self.displayReviews(listOfReviews)
def displayReviews(self, listOfReviews):
i = 0
for reviewKey in listOfReviews:
i += 1
reviewValue = self.reviewsDB.get(reviewKey)[0]
#print(reviewValue)
print("######################################################")
print("################# REVIEW " + str(i) + " #################")
print("######################################################" + '\n')
reviewValue = self.rgx.putLineTitlesBack(reviewValue)
for line in reviewValue:
if( "review/time" in line):
time = datetime.fromtimestamp(float(line.split(":")[1].strip("\n").strip()))
print("review/time: " + time.strftime("%b %d %Y")+ "\n")
else:
print(line, end='')
print('\n')
def getReviews(self, parsedQuery):
"""
Using the parsedQuery data, intersects the conditional filters amongs the reviews.
Until a filtered list of results is generated.
>>> p3 = Phase3()
>>> p3.start()
######################################################
############# PHASE 3 INITIALIZING QUERY #############
######################################################
<BLANKLINE>
######################################################
############# REVIEW LOOKUP SYSTEM #############
######################################################
<BLANKLINE>
Type 'q!' to exit
>>> parsedQuery = ([], [], [], [])
>>> p3.getReviews(parsedQuery)
[]
>>> parsedQuery = ([], [], [('r', 'ago')], [])
>>> p3.getReviews(parsedQuery)
['9']
>>> parsedQuery = (['ago'], [], [], [])
>>> p3.getReviews(parsedQuery)
['9']
>>> parsedQuery = (['again'], [], [], [])
>>> p3.getReviews(parsedQuery)
['8', '10']
>>> parsedQuery = (['again', 'used'], [], [], [])
>>> p3.getReviews(parsedQuery)
['10']
>>> parsedQuery = ([], ['ag'], [], [])
>>> p3.getReviews(parsedQuery)
['8', '9', '10']
>>> parsedQuery = (['again'], ['ag'], [], [])
>>> p3.getReviews(parsedQuery)
['8', '10']
>>> parsedQuery = ([], [], [], [('rdate', '<', '2000/01/01')])
>>> p3.getReviews(parsedQuery)
['4', '5']
>>> parsedQuery = ([], [], [], [('rdate', '<', '2000/01/01'), ('pprice', '<', '17')])
>>> p3.getReviews(parsedQuery)
['5']
>>> parsedQuery = (['cross'], [], [], [])
>>> p3.getReviews(parsedQuery)
['5', '7', '8', '9', '10']
>>> parsedQuery = ([], [], [('r', 'cross')], [])
>>> p3.getReviews(parsedQuery)
['5', '7', '8', '10']
>>> parsedQuery = ([], [], [('p', 'cross')], [])
>>> p3.getReviews(parsedQuery)
['7', '8', '9', '10']
>>> parsedQuery = ([], ['not'], [], [])
>>> p3.getReviews(parsedQuery)
['1', '2', '8', '9']
>>> parsedQuery = ([], ['not'], [('r', 'cross')], [])
>>> p3.getReviews(parsedQuery)
['8']
>>> parsedQuery = ([], [], [], [('rscore', '<', '5')])
>>> p3.getReviews(parsedQuery)
['1', '3', '4']
>>> parsedQuery = ([], [], [], [('rscore', '>', '4')])
>>> p3.getReviews(parsedQuery)
['2', '5', '6', '7', '8', '9', '10']
>>> parsedQuery = (['find'], [], [], [('rscore', '<', '5')])
>>> p3.getReviews(parsedQuery)
['1', '4']
>>> parsedQuery = ([], [], [], [('pprice', '<', '16')])
>>> p3.getReviews(parsedQuery)
['5', '6']
>>> parsedQuery = (['old'], [], [], [('pprice', '<', '16')])
>>> p3.getReviews(parsedQuery)
['6']
>>> parsedQuery = ([], [], [], [('rdate', '<', '2000/01/01')])
>>> p3.getReviews(parsedQuery)
['4', '5']
>>> parsedQuery = (['find'], [], [], [('rdate', '<', '2000/01/01')])
>>> p3.getReviews(parsedQuery)
['4']
>>> parsedQuery = ([], [], [], [('rdate', '>', '2000/01/01')])
>>> p3.getReviews(parsedQuery)
['1', '2', '3', '6', '7', '8', '9', '10']
>>> parsedQuery = ([], [], [], [('rdate', '>', '2009/01/01'), ('pprice', '>', '16'), ('pprice', '<', '18')])
>>> p3.getReviews(parsedQuery)
['2']
>>> parsedQuery = (['shazam'], [], [], [('rdate', '>', '2009/01/01'), ('pprice', '>', '16'), ('pprice', '<', '18')])
>>> p3.getReviews(parsedQuery)
[]
"""
self.firstIntersectFlag = False
reviewList = []
tmpList = []
#Select by selections, selector = (selector, searchTerm)
for entry in parsedQuery[2]:
selector = entry[0]
term = entry[1]
if(selector == "r"):
subList = self.rtermsDB.get(term)
for i in subList:
tmpList.append(i)
elif(selector == "p"):
subList = self.ptermsDB.get(term)
for i in subList:
tmpList.append(i)
reviewList = self.ourIntersect(reviewList, tmpList)
tmpList = []
#Select by words, word = (searchTerm)
for entry in parsedQuery[0]:
subList = self.rtermsDB.get(entry)
for i in subList:
tmpList.append(i)
subList = self.ptermsDB.get(entry)
for i in subList:
tmpList.append(i)
reviewList = self.ourIntersect(reviewList, tmpList)
tmpList = []
#Select by wilds, wild = (searchTerm)
for entry in parsedQuery[1]:
subList = self.rtermsDB.getWild(entry)
for i in subList:
tmpList.append(i)
subList = self.ptermsDB.getWild(entry)
for i in subList:
tmpList.append(i)
reviewList = self.ourIntersect(reviewList, tmpList)
tmpList = []
#Select by comparator, comparator = (comparator, operator, value)
#pprice < 20
#rdate > 2007/06/20
#rscore < 3
#product/price: unknown
#review/score: 5.0
#review/time: 1075939200
for entry in parsedQuery[3]:
comparator = entry[0]
oper = entry[1]
value = entry[2]
ops = {"<": operator.lt, ">": operator.gt}
if(comparator == "rdate"):
comparator = "rtime"
year,month,day = value.split("/")
try:
value = datetime(int(year), int(month), int(day))
except:
print("Invalid Date Provided. No Results Found.")
return []
else:
value = value + ".0"
keys = self.reviewsDB.getAllReviewKeys()
for key in keys:
item = self.rgx.putLineTitlesBack( self.reviewsDB.get(key)[0] )
itemPrice = item[2].split(":")[1].strip("\n").strip()
itemScore = item[6].split(":")[1].strip("\n").strip()
itemDate = datetime.fromtimestamp( float(item[7].split(":")[1].strip("\n").strip() ))
# print(itemPrice)
# print(itemScore)
# print(itemDate)
# print("")
comp_to_val = {"pprice": itemPrice, "rscore": itemScore, "rtime": itemDate }
if ops[oper](comp_to_val[comparator], value) :
tmpList.append(key)
reviewList = self.ourIntersect(reviewList, tmpList)
tmpList = []
# print(reviewList)
return sorted(reviewList, key=float)
def ourIntersect(self, b1, b2):
if(not self.firstIntersectFlag):
self.firstIntersectFlag = True
return list(set(b2))
else:
return list(set(b1).intersection(b2))
def queryParser(self, query):
"""
Parser returns tuples containing 4 lists containng tuples.
([words], [wilds], [selectors], [comparators])
word = (searchTerm)
wild = (searchTerm)
selector = (selector, searchTerm)
comparator = (comparator, operator, value)
>>> p3 = Phase3()
>>> p3.queryParser("")
([], [], [], [])
>>> result = p3.queryParser("P:caMeRa")
>>> result[2]
[('p', 'camera')]
>>> result = p3.queryParser("r:grEaT")
>>> result[2]
[('r', 'great')]
>>> result =p3.queryParser("cAmeRa")
>>> result[0]
['camera']
>>> result = p3.queryParser("cam%")
>>> result[1]
['cam']
>>> result = p3.queryParser("r:great cam%")
>>> result[1]
['cam']
>>> result[2]
[('r', 'great')]
>>> result = p3.queryParser("rscore > 4")
>>> result[3] == [('rscore', '>', '4')]
True
>>> result = p3.queryParser("camera rscore < 3")
>>> result[0]
['camera']
>>> result[3] == [('rscore', '<', '3')]
True
>>> result = p3.queryParser("pprice < 60 camera")
>>> result[0]
['camera']
>>> result[3] == [('pprice', '<', '60')]
True
>>> result = p3.queryParser("camera rdate > 2007/06/20")
>>> result[0]
['camera']
>>> result[3] == [('rdate', '>', '2007/06/20')]
True
>>> result = p3.queryParser("camera rdate > 2007/06/20 pprice > 20 pprice < 60")
>>> result[0]
['camera']
>>> result[3] == [('rdate', '>', '2007/06/20'), ('pprice', '>', '20'), ('pprice', '<', '60')]
True
"""
query = query.strip().lower().rstrip('\r\n')
searchTerms = [] #(searchTerm)
wildCardTerms = [] #(searchTerm)
selectors = [] #(selector, searchTerm)
comparators = [] #(comparator, operator, value)
selector = re.compile(r"(r:|p:)[a-z]*")
wild = re.compile(r"[a-z]*%")
comparator = re.compile(r"\w*\s(<|>)\s[\w/]*")
word = re.compile(r"[a-z]+")
while(query != ""):
# time.sleep(3)
# print("looping query: " + query)
query.strip().rstrip('\r\n')
if(comparator.search(query)):
found = comparator.search(query).group(0)
query = query.replace(found, "")
if(">" in found):
comparators.append( (found.split(">")[0].strip(),">",found.split(">")[1].strip()) )
else:
comparators.append( (found.split("<")[0].strip(),"<",found.split("<")[1].strip()) )
continue
elif (selector.match(query)):
# print("Selector found")
found = selector.search(query).group(0)
query = query.replace(found, "")
selectors.append((found.split(":")[0],found.split(":")[1]))
continue
elif (wild.search(query)):
# print("wild found")
found = wild.search(query).group(0)
query = query.replace(found, "")
wildCardTerms.append(found.strip("%"))
continue
elif (word.search(query)):
# print("Word found")
found = word.search(query).group(0)
query = query.replace(found, "")
searchTerms.append(found)
continue
else:
break
return (searchTerms,wildCardTerms,selectors,comparators)
if __name__ == "__main__":
import doctest
doctest.testmod()
p3 = Phase3()
p3.start()
p3.main()
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"""1.Phase"""
from sympy import *
init_printing()
z, x0, x1, x2, x3, x4, x5, x6, x7 = symbols('z, x0, x1, x2, x3, x4, x5, x6, x7')
B = [x3, x4, x5, x6, x7]
N = [x0, x1, x2]
rows = [Eq(x3, -12 + 2 * x1 + 1 * x2 + x0),
Eq(x4, -12 + x1 + 2 * x2 + x0),
Eq(x5, -10 + x1 + x2 + x0),
Eq(x6, 60 - 3 * x1 - 4 * x2 + x0),
Eq(x7, 12 - x1 + x0)]
ziel = Eq(z, - x0)
# -------------------------------------------------------------------------------
eintretende = x0
for i in range(10):
# eintretende Variable finden
# auswaehlen nach dem Teknik in der Vorlesung (d.h. var mit grosstem Koeffizeint)
if i != 0: # nicht in erstem Durchlauf (da hier unzulaessig)
eintretende = None
max_eintretende = -oo
for var, coeff in ziel.rhs.as_coefficients_dict().items():
# 1 is the first coeff i.e. the value of the ziel function
if var != 1 and coeff > 0 and coeff > max_eintretende:
max_eintretende = coeff
eintretende = var
# if no positiv costs => optimal
if eintretende == None:
break
# verlassende Variable finden
verlassende = None
min_wert = +oo
min_row = None
if i == 0: # einfach definierne da im ersten Durchlauf Dich ist unzulaessig
# verlassende = min([row.rhs.as_coefficients_dict()[1] for row in rows])
verlassende = x3
min_row = rows[0]
else:
for row in rows:
if row.has(eintretende):
new_row = row
for nbv in N:
if nbv != eintretende:
new_row = new_row.subs(nbv, 0)
wert = solve(new_row.rhs >= 0).as_set().right
if wert < min_wert:
min_wert = wert
min_row = row
verlassende = row.lhs
# die Formlen umsetzen und rows updaten
new_formel = Eq(eintretende, solve(min_row, eintretende)[0])
new_rows = [new_formel]
for row in rows:
if row.lhs != verlassende:
new_rows.append(Eq(row.lhs, row.rhs.subs(eintretende, new_formel.rhs)))
rows = new_rows
# new ziel
ziel = Eq(z, ziel.rhs.subs(eintretende, new_formel.rhs))
pprint(latex(ziel))
# update B, N
B.remove(verlassende); B.append(eintretende)
N.remove(eintretende); N.append(verlassende)
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"""1. Police department uploads the video to S3 bucket for incoming videos
2. As video are saved in the bucket a threaded script creates an EC2 instance per item in bucket
3. The threaded script sends a command over SSH with the argument being the key name of the video on the S3 bucket
4. The called script then saves the video locally, processes it, saves it in the S3 bucket for finished videos, and halts/terminates itself
5. A threaded script uploads processed videos to endpoint such as Youtube as the processed videos are saved
6. The threaded script generates a series of images every 30 seconds of the video"""
# Load our settings.json file which contains AWS keys, bucket names, key_name, security_group_id
import json
with open('settings.json') as settings_file:
settings = json.load(settings_file)
from boto.s3.connection import S3Connection
s3conn = S3Connection(settings['aws_access_key_id'], settings['aws_secret_access_key'])
incoming_bucket = s3conn.get_bucket(settings['incoming_bucket'])
import boto.ec2
ec2conn = boto.ec2.connect_to_region(settings['region'], aws_access_key_id=settings['aws_access_key_id'], aws_secret_access_key=settings['aws_secret_access_key'])
import time
import os
import os.path
if not os.path.isfile('videos_already_processed.txt'):
os.system('touch videos_already_processed.txt')
import time
while True:
import json
# Allows one to change the settings without restarting the script
with open('settings.json') as settings_file:
settings = json.load(settings_file)
bucket_items = sorted(incoming_bucket.list(), reverse=True)
print 'Got bucket items'
for key in bucket_items:
if key.name.endswith('.zip'):
f = open('videos_already_processed.txt', 'r')
files = f.read().split('\n')
f.close()
if not key.name in files:
with open("videos_already_processed.txt", "a") as myfile:
myfile.write(key.name+'\n')
print 'zip'
print key.name
os.system('sudo unzip -j -o "/mnt/s3/%s" -d /mnt/s3/' % (key.name))
os.system('sudo rm "/mnt/s3/%s"' % (key.name))
elif key.name.endswith('.mp4') or key.name.lower().endswith('.mpg') or key.name.lower().endswith('.mov'):
print key.name
f = open('videos_already_processed.txt', 'r')
files = f.read().split('\n')
f.close()
if not key.name in files:
with open("videos_already_processed.txt", "a") as myfile:
myfile.write(key.name+'\n')
print "processing"
os.system('python process_video.py "%s" False' % (key.name))
time.sleep(60)
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## 1. Probability basics ##
# Print the first two rows of the data.
print(flags[:2])
most_bars_country = flags['name'][flags['bars'].idxmax()]
highest_population_country = flags['name'][flags['population'].idxmax()]
## 2. Calculating probability ##
total_countries = flags.shape[0]
orange_probability = len(flags[flags["orange"] == 1])/total_countries
stripe_probability = len(flags[flags["stripes"] > 1])/total_countries
## 3. Conjunctive probabilities ##
five_heads = .5 ** 5
ten_heads = 0.5 ** 10
hundred_heads = 0.5 ** 100
## 4. Dependent probabilities ##
# Remember that whether a flag has red in it or not is in the `red` column.
total = len(flags)
red = len(flags[flags['red']==1])
one_red = red/total
two_red = one_red * ((red-1)/(total - 1))
three_red = two_red * ((red-2)/(total - 2))
## 5. Disjunctive probability ##
start = 1
end = 18000
def count_evenly_divisible(start, end, div):
divisible = 0
for i in range(start, end+1):
if (i % div) == 0:
divisible += 1
return divisible
hundred_prob = count_evenly_divisible(start, end, 100) / end
seventy_prob = count_evenly_divisible(start, end, 70) / end
## 6. Disjunctive dependent probabilities ##
stripes_or_bars = None
red_or_orange = None
red = flags[flags["red"] == 1].shape[0] / flags.shape[0]
orange = flags[flags["orange"] == 1].shape[0] / flags.shape[0]
red_and_orange = flags[(flags["red"] == 1) & (flags["orange"] == 1)].shape[0] / flags.shape[0]
red_or_orange = red + orange - red_and_orange
stripes = flags[flags["stripes"] > 0].shape[0] / flags.shape[0]
bars = flags[flags["bars"] > 0].shape[0] / flags.shape[0]
stripes_and_bars = flags[(flags["stripes"] > 0) & (flags["bars"] > 0)].shape[0] / flags.shape[0]
stripes_or_bars = stripes + bars - stripes_and_bars
## 7. Disjunctive probabilities with multiple conditions ##
heads_or = None
all_three_tails = (1/2 * 1/2 * 1/2)
heads_or = 1 - all_three_tails | {
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#1. Put strings into a list, then use ' '.join(strings)
# to concate all strings
strings = ["Hello", "World", "You", "!"]
name = ' '.join(strings)
print name
#2. Always use an object's capabilities instead of restrained to its type.
#3. Use if not x:
x = 10
if not x:
print name
#4. Use string.function()
if name.startswith("Hello"):
print name
#5, Use try, catch schema
"""
try:
return int(name)
except(TypeError, ValueError, overflowError):
return None
"""
#6. Docstrings and Comments
# Docstring, How to use the code; Comments: why and how code works?
#Swap value:
a = 10
b = 9
b, a = a, b
#_ stores the last printed expression, for console usage only
colors = ['red', 'blue', 'green', 'yellow']
print 'Choose', ', '.join(colors[:-1]), 'or', colors[-1]
result = "Choose " + ', '.join(colors[:-1]) + "or " + colors[-1]
def fn(color):
return color + "10"
result = ''.join(fn(i) for i in colors)
print result
#7, Build dictories from two lists:
given = ['John', 'Eric', 'Terry', 'Michael']
family = ['Cleese', 'Idel', 'Gilliam', 'Palin']
pythons = dict(zip(given, family))
print pythons
#10, List comprehensions
new_list = [fn(item) for item in a_list
if condition(item)]
total = sum([num*num for num in range(1, 101)])
"""Module Docstring"""
# imports
# constants
# exception classes
# interface functions
# classes
# internal functions & classes
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# 1. Read the names of the json files from the directory;
# 2. Print out the json file names.
# Import packages:
import os
import glob
import magic
import json
# Set the working directory to the new GrEx. Print the working directory to confirm:
path = 'C:\\Users\Stephan\Desktop\GrEx3'
os.chdir(path)
print(os.getcwd())
# C:\Users\Stephan\Desktop\GrEx3
# Read list of files in the folder using the os package:
print(os.listdir())
# Various ways to pull out only the json files.
# 1. Use os package and create a dictionary by file type
# (this method won't work if any file has a '.' in the file name):
files = os.listdir()
files_dict = dict(file.split('.') for file in files)
json_dict = {k:v for (k,v) in files_dict.items() if v == 'json'}
print(json_dict)
# 2. Use glob to get a list:
print(glob.glob('*.json'))
# 3. If the folder is huge and memory usage or speed is a concern, you can iterate over the files
# in the folder without storing them to memory using iglob:
for json_file in glob.iglob('*.json'):
print (json_file)
# Validate they are .json
# 1. Use mime / magic
mime = magic.Magic(mime=True)
print(mime.from_file('100506.json'))
# 2. Create a function to find the fake json:
def check_json(file):
try:
json.load(file)
except ValueError:
return False
return True
for json_file in json_list:
with open(json_file) as json_data:
if check_json(json_data) == False:
print('File named ' + json_file + ' is not really a json file.')
# File named fakeJSON.json is not really a json file.
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## 1. Recap ##
import pandas as pd
import matplotlib.pyplot as plt
unrate = pd.read_csv('unrate.csv')
unrate['DATE'] = pd.to_datetime(unrate['DATE'])
plt.plot(unrate['DATE'].head(12),unrate['VALUE'].head(12))
plt.xticks(rotation=90)
plt.xlabel('Month')
plt.ylabel('Unemployment Rate')
plt.title('Monthly Unemployment Trends, 1948')
## 2. Matplotlib Classes ##
import matplotlib.pyplot as plt
fig = plt.figure()
ax1 = fig.add_subplot(2,1,1)
ax2 = fig.add_subplot(2,1,2)
plt.show()
## 4. Adding Data ##
fig = plt.figure()
ax1 = fig.add_subplot(2,1,1)
ax2 = fig.add_subplot(2,1,2)
ax1.plot(unrate['DATE'].head(12),unrate['VALUE'].head(12))
ax2.plot(unrate['DATE'].iloc[12:24],unrate['VALUE'].iloc[12:24])
plt.show()
## 5. Formatting And Spacing ##
fig = plt.figure(figsize=(12,6))
ax1 = fig.add_subplot(2,1,1)
ax2 = fig.add_subplot(2,1,2)
ax1.plot(unrate[0:12]['DATE'], unrate[0:12]['VALUE'])
ax1.set_title('Monthly Unemployment Rate, 1948')
ax2.plot(unrate[12:24]['DATE'], unrate[12:24]['VALUE'])
ax2.set_title('Monthly Unemployment Rate, 1949')
plt.show()
## 6. Comparing Across More Years ##
fig = plt.figure(figsize=(12,12))
x = [0,12,24,36,48]
y = [12,24,36,48,60]
for i in range(5):
ax = fig.add_subplot(5,1,(i+1))
ax.plot(unrate[x[i]:y[i]]['DATE'],unrate[x[i]:y[i]]['VALUE'])
plt.show()
## 7. Overlaying Line Charts ##
unrate['MONTH'] = unrate['DATE'].dt.month
fig = plt.figure(figsize=(6,3))
plt.plot(unrate[0:12]['MONTH'], unrate[0:12]['VALUE'],c='red')
plt.plot(unrate[12:24]['MONTH'], unrate[12:24]['VALUE'],c='blue')
plt.show()
## 8. Adding More Lines ##
fig = plt.figure(figsize=(10,6))
x = [0,12,24,36,48]
y = [12,24,36,48,60]
color = ['red','blue','green','orange','black']
for i in range(5):
plt.plot(unrate[x[i]:y[i]]['MONTH'],unrate[x[i]:y[i]]['VALUE'],c = color[i])
plt.show()
## 9. Adding A Legend ##
fig = plt.figure(figsize=(10,6))
colors = ['red', 'blue', 'green', 'orange', 'black']
for i in range(5):
start_index = i*12
end_index = (i+1)*12
label = str(1948 + i)
subset = unrate[start_index:end_index]
plt.plot(subset['MONTH'], subset['VALUE'], c=colors[i],label=label)
plt.legend(loc='upper left')
plt.show()
## 10. Final Tweaks ##
fig = plt.figure(figsize=(10,6))
colors = ['red', 'blue', 'green', 'orange', 'black']
for i in range(5):
start_index = i*12
end_index = (i+1)*12
subset = unrate[start_index:end_index]
label = str(1948 + i)
plt.plot(subset['MONTH'], subset['VALUE'], c=colors[i], label=label)
plt.legend(loc='upper left')
plt.title("Monthly Unemployment Trends, 1948-1952")
plt.xlabel('Month, Integer')
plt.ylabel('Unemployment Rate, Percent')
plt.show() | {
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# 1. Reebok is designing a new type of Crossfit shoe, the Nano X. The fixed cost for the
# production will be $24,000. The variable cost will be $36 per pair of shoes. The shoes will
# sell for $107 for each pair. Using Python, graph the cost and revenue functions and
# determine how many pairs of sneakers will have to be sold for the company to break even on
# this new line of shoes.
import matplotlib.pyplot as plt
import math
# Expenses
# y = 36x + 24000
exp_slope = 36
exp_int = 24000
exp_x0 = 0
exp_y0 = exp_slope * exp_x0 + exp_int
exp_x1 = 1000
exp_y1 = exp_slope * exp_x1 + exp_int
# Revenue
# y = 107x
rev_slope = 107
rev_int = 0
rev_x0 = 0
rev_y0 = rev_slope * rev_x0 + rev_int
rev_x1 = 1000
rev_y1 = rev_slope * rev_x1 + rev_int
# Breakeven
# 107x = 36x + 24000
# 71x = 24000
# x = 338.028
# y = 107(338.028) = 36169.014
be_x = 24000 / 71
be_y = 107 * be_x
# Plot the lines
fig, shoe = plt.subplots()
shoe.scatter([exp_x0, exp_x1],
[exp_y0, exp_y1],
c = 'r')
shoe.plot([exp_x0, exp_x1],
[exp_y0, exp_y1],
c = 'r', alpha = 0.3)
shoe.scatter([rev_x0, rev_x1],
[rev_y0, rev_y1],
c = 'g')
shoe.plot([rev_x0, rev_x1],
[rev_y0, rev_y1],
c = 'g', alpha = 0.3)
shoe.scatter([be_x],
[be_y],
c = 'b', s = 100)
plt.xlim(0, 750)
plt.ylim(0, 75000)
plt.show()
print("To break even, Reebok must sell",
math.ceil(be_x), "shoes.")
# 2. Nicole invests a total of $17,500 in three products. She invests one part in a mutual fund
# which has an annual return of 11%. She invests the second part in government bonds at 7%
# per year. The third part she puts in CDs at 5% per year. She invests twice as much in the
# mutual fund as in the CDs. In the first year Nicole's investments bring a total return of $1495.
# How much did she invest in each product?
import numpy as np
from numpy.linalg import inv
import matplotlib.pyplot as plt
# x + y + z = 17500
# 0.11x + 0.07y + 0.05z = 1495
# x - 2z = 0
a = inv(np.matrix('1 1 1; 11 7 5; 1 0 -2'))
b = np.array([17500, 149500, 0])
res = a.dot(b)
print("mutual funds=", res[0, 0],
"gov't bonds =", res[0, 1],
"CDs =", res[0, 2])
labels = 'Mut Funds', "Gov't Bonds", 'CDs'
sizes = [res[0, 0], res[0, 1], res[0, 2]]
colors = ['lightskyblue', 'pink', 'yellowgreen']
plt.pie(sizes, labels = labels, colors = colors,
autopct = '%1.1f%%', startangle = 140)
plt.axis('equal')
plt.show()
# 3. A company has 252 sales reps, each to be assigned to one of four marketing teams. If the first
# team is to have three times as many members as the second team and the third team is to
# have twice as many members as the fourth team, how can the members be distributed among
# the teams?
import pandas as pd
# w + x + y + z = 252
# w = 3x
# y = 2z
# 3x + x + 2z + z = 252
# 4x + 3z = 252
# 4x = 252 - 3z
# x = 63 - 3/4z
# w = 3 * (63 - 3/4z)
# w = 189 - 9/4z
res = []
for z in range(253):
z = float(z)
x = float(63 - 3 * z / 4)
y = float(2 * z)
w = float(189 - 9 * z / 4)
a,b = False,False
if (w > 0) & (x > 0) & (y > 0) & (z > 0):
a = True
if (w.is_integer()) & (x.is_integer()) & (y.is_integer()) & (z.is_integer()):
b = True
if a & b: res.append([w, x, y, z])
teams = ['team1', 'team2', 'team3', 'team4']
print(pd.DataFrame(res, columns = teams))
pd.DataFrame(res, columns = teams).plot(kind = 'bar', stacked = True)
# 4. A company makes three types of artisanal chocolate bars: cherry, almond, and raisin. Matrix
# A gives the amount of ingredients in one batch. Matrix B gives the costs of ingredients from
# suppliers J and K. Using Python, calculate the cost of 100 batches of each candy using
# ingredients from supplier K.
import numpy as np
a = np.matrix('6 8 1; 6 4 1; 5 7 1')
b = np.matrix('4 3; 4 5; 2 2')
batch = a.dot(b)
print("100 cherry =", batch[0, 1] * 100,
"100 almond =", batch[1, 1] * 100,
"100 raisin =", batch[2, 1] * 100)
# 5. Welsh-Ryan Arena seats 15,000 people. Courtside seats cost $8, first level seats cost $6, and
# upper deck seats cost $4. The total revenue for a sellout is $76,000. If half the courtside seats,
# half the upper deck seats, and all the first level seats are sold, then the total revenue is
# $44,000. How many of each type of seat are there?
import numpy as np
from numpy.linalg import inv
# x + y + z = 15000
# 8x + 6y + 4z = 76000
# 0.5(8x + 4z) + 6y = 44000
# 4x + 6y + 2z = 44000
a = inv(np.matrix('1 1 1; 8 6 4; 4 6 2'))
b = np.array([15000, 76000, 44000])
res = a.dot(b)
print("courtside =", res[0, 0],
"first level=", res[0, 1],
"upper deck =", res[0, 2])
# 6. Due to new environmental restrictions, a chemical company must use a new process to
# reduce pollution. The old process emits 6 g of Sulphur and 3 g of lead per liter of chemical
# made. The new process emits 2 g of Sulphur and 4 g of lead per liter of chemical made. The
# company makes a profit of 25¢ per liter under the old process and 16¢ per liter under the new
# process. No more than 18,000 g of Sulphur and no more than 12,000 g of lead can be emitted
# daily. How many liters of chemicals should be made daily under each process to maximize
# profits? What is the maximum profit?
from scipy.optimize import linprog as lp
import numpy as np
# maximize: 0.25x + 0.16y
# subject to:
# 6x + 2y <= 18000
# 3x + 4y <= 12000
# x, y >= 0
A = np.array([[6, 2], [3, 4]])
b = np.array([18000, 12000])
liters = lp(np.array([-0.25, -0.16]), A, b)
print("old method=", round(liters.x[0], 2), "liters.",
"new method=", round(liters.x[1], 2), "liters.")
print("Max daily profit=",
round(0.25 * liters.x[0] + 0.16 * liters.x[1], 2))
# 7. Northwestern is looking to hire teachers and TA’s to fill its staffing needs for its summer
# program at minimum cost. The average monthly salary of a teacher is $2400 and the average
# monthly salary of a TA is $1100. The program can accommodate up to 45 staff members and
# needs at least 30 to run properly. They must have at least 10 TA’s and may have up to 3 TA’s
# for every 2 teachers. Using Python, find how many teachers and TA’s the program should
# hire to minimize costs. What is the minimum cost?
from scipy.optimize import linprog as lp
import numpy as np
# minimize: 2400x + 1100y
# subject to:
# x + y <= 45
# x + y >= 30
# y >= 10
# 2y <= 3x
# x, y >= 0
A = np.array([[-1, -1], [-3, 2]])
b = np.array([-30, 0])
x_bounds = (0, 45)
y_bounds = (10, 45)
hire = lp(np.array([2400, 1100]), A, b,
bounds = (x_bounds, y_bounds))
print("Hire", hire.x[0], "teachers.",
"Hire", hire.x[1], "TAs.")
print("Minimum cost=",
2400 * hire.x[0] + 1100 * hire.x[1])
# 8. To be at his best as a teacher, Roger needs at least 10 units of vitamin A, 12 units of vitamin
# B, and 20 units of vitamin C per day. Pill #1 contains 4 units of A and 3 of B. Pill #2 contains
# 1 unit of A, 2 of B, and 4 of C. Pill #3 contains 10 units of A, 1 of B, and 5 of C. Pill #1 costs
# 6 cents, pill #2 costs 8 cents, and pill #3 costs 1 cent. How many of each pill must Roger take
# to minimize his cost, and what is that cost?
from scipy.optimize import linprog as lp
import numpy as np
# minimize: 0.06x + 0.08y + 0.01z
# subject to:
# 4x + y + 10z >= 10
# 3x + 2y + z >= 12
# 4y + 5z >= 20
# x, y, z >= 0
A = np.array([[-4, -1, -10], [-3, -2, -1], [0, -4, -5]])
b = np.array([-10, -12, -20])
pills = lp(np.array([0.06, 0.08, 0.01]), A, b)
print("Pill #1=", pills.x[0],
"Pill #2=", pills.x[1],
"Pill #3=", pills.x[2],)
print("Minimum cost=",
0.06 * pills.x[0] + 0.08 * pills.x[1] + 0.01 * pills.x[2])
# 9. An electronics store stocks high-end DVD players, surround sound systems, and televisions.
# They have limited storage space and can stock a maximum of 210 of these three machines.
# They know from past experience that they should stock twice as many DVD players as stereo
# systems and at least 30 television sets. If each DVD player sells for $450, each surround
# sound system sells for $2000, and each television sells for $750, how many of each should be
# stocked and sold for maximum revenues? What is the maximum revenue?
from scipy.optimize import linprog as lp
import numpy as np
# maximize: 450x + 2000y + 750z
# subject to:
# x + y + z <= 210
# x >= 2y
# z >= 30
# x, y, z >= 0
A = np.array([[1, 1, 1], [-1, 2, 0], [0, 0, -1]])
b = np.array([210, 0, -30])
units = lp(np.array([-450, -2000, -750]), A, b)
print("DVDs =", units.x[0],
"SS Systems=", units.x[1],
"TVs =", units.x[2],)
print("Maximum revenue=",
450 * units.x[0] + 2000 * units.x[1] + 750 * units.x[2])
# 10. A fast-food company is conducting a sweepstakes, and ships two boxes of game pieces to a
# particular franchise. Box A has 4% of its contents being winners, while 5% of the contents of
# box B are winners. Box A contains 27% of the total tickets. The contents of both boxes are
# mixed in a drawer and a ticket is chosen at random. Using Python, find the probability it
# came from box A if it is a winner.
is_box_a = 0.27
box_a_win = 0.04
box_b_win = 0.05
a = is_box_a * box_a_win
b = (1 - is_box_a) * box_b_win
prob = a / (a + b)
print("Probability that winner came from Box A is",
round(prob * 100, 3), "%.")
# Heatmap of probabilities for drawing random card
import pandas as pd
import seaborn as sns
a2 = is_box_a * (1 - box_a_win)
b2 = (1 - is_box_a) * (1 - box_b_win)
prob2 = a / (a + b + a2 + b2)
prob3 = b / (a + b + a2 + b2)
prob4 = a2 / (a + b + a2 + b2)
prob5 = b2 / (a + b + a2 + b2)
df = pd.DataFrame([[prob2, prob4], [prob3, prob5]],
index = ['Box A', 'Box B'],
columns = ['Winner', 'Loser'])
sns.heatmap(df)
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#1.
class LR_LinearDecay():
'''
Function : -Learning rate decay linearly(a constant factor) after each epoch
-Eg. LR= 5, 5.8, 5.6, 5.4, ........
'''
def __init__(self, min_lr=1e-5, max_lr=1e-2, epochs=None):
super().__init__()
self.min_lr = min_lr
self.max_lr = max_lr
self.total_iterations = epochs
def get_lr(self, epoch_i):
'''Return the updated learning rate.'''
self.iteration = epoch_i
x = self.iteration / self.total_iterations
return self.max_lr - (self.max_lr-self.min_lr) * x
#2.
class LR_StepDecay():
'''
Function : -Learning rate decay stepwise(a varing factor) after every few epochs
- Eg. LR= 5, 5, 5, 2.5, 2.5, 2.5, 1.25, 1.25, 1.25, ......
'''
def __init__(self, max_lr=1e-2, step_size=3, decay_factor=2):
super().__init__()
self.max_lr = max_lr
self.step_size = step_size # meaning: update happens after every `step_size` iterations
self.decay_factor = decay_factor
def get_lr(self, epoch_i):
'''Return the updated learning rate.'''
self.iteration = epoch_i
x = self.iteration / self.step_size
return self.max_lr / (self.decay_factor ** int(x) )
#3.
class LR_ExponentialDecay():
'''
Function : Learning rate decay exponentially( exp(k*t) ) after each epoch
'''
def __init__(self, max_lr=1e-2, decay_factor=0.1):
super().__init__()
self.max_lr = max_lr
self.decay_factor = decay_factor
def get_lr(self, epoch_i):
'''Return the updated learning rate.'''
return self.max_lr / math.exp(self.decay_factor*epoch_i )
#4.
class LR_Cyclical():
'''
Function - This implements 2 techniques: 1.Linear annealing(to better converge at minima)
2.Learning rate linear restart(to escape local minima)
'''
def __init__(self, min_lr=1e-5, max_lr=1e-2, step_size=10, mode='triangular', gamma=1., scale_fn=None, scale_mode='cycle'):
super(CyclicLR, self).__init__()
import math
self.min_lr = min_lr
self.max_lr = max_lr
self.step_size = step_size
self.mode = mode
if scale_fn == None:
if(self.mode == 'triangular'):
self.scale_fn = lambda x: 1.
elif(self.mode == 'triangular2'):
self.scale_fn = lambda x: 1/(2.**(x-1))
elif(self.mode == 'exp_range'):
self.scale_fn = lambda x: gamma**(x)
else:
self.scale_fn = scale_fn
def get_lr(self, epoch_i):
cycle = math.floor(1 + epoch_i/(2*self.step_size))
x = math.abs (epoch_i/self.step_size - 2*cycle + 1)
return self.base_lr + (self.max_lr-self.min_lr) * (1-x) * self.scale_fn(cycle)
#5.
class LR_StochasticGradientDescentWithWarmRestarts():
'''
Function - This implements 2 techniques: 1.Cosine annealing(to better converge at minima)
2.Learning rate sharp restart(to escape local minima)
'''
def __init__(self, min_lr, max_lr, epoch_steps=10):
self.min_lr = min_lr
self.max_lr = max_lr
self.epoch_steps = epoch_steps # restarts after every `epoch_steps` no. of epochs
self.batch_since_restart = 0
def get_lr(self, epoch_i):
'''Calculate the learning rate.'''
self.batch_since_restart = epoch_i % epoch_steps
fraction_to_restart = self.batch_since_restart / (epoch_steps)
return self.min_lr + 0.5 * (self.max_lr - self.min_lr) * (1 + np.cos(fraction_to_restart * np.pi))
'''
Example.
>> epoch_n = 50
>> lr = LR_LinearDecay(epochs = epoch_n)
>> for epoch_i in range(1,epoch_n+1):
learning_rate = lr.get_lr(epoch_i = epoch_i )
'''
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#1.
def print_n(string, num):
count = 0
while count < num:
print string
count += 1
#2.
def bottles(num):
while num >= 1:
print '{} bottles of soda on the wall'.format(num)
print '{} bottles of soda'.format(num)
print 'Take one down, pass it around'
num -= 1
print '{} bottles of soda on the wall'.format(num)
print ''
return
#3.
def factorial(num):
current = 1
total = 1
while current <= num:
total *= current
current += 1
return total
#4a.
def password():
answer = raw_input('Enter password: ')
while answer != 'please':
print 'Invalid password'
answer = raw_input('Enter password: ')
print 'Access granted.'
return
#4b.
def password2():
attempts = 5
while attempts > 0:
answer = raw_input('Enter password: ')
if answer.lower() == 'please':
break
else:
attempts -= 1
print 'Invalid password. {} attempts remaining'.format(attempts)
if attempts == 0:
print 'Access Denied'
else:
print 'Access Granted'
return
#5.
def sum_of_odd(n):
current = 1
total = 0
while current <= n:
total += current
current += 2
return total
#6.
def biggest():
biggest = -10000000000000000000000000000000000000
while True:
answer = raw_input('Enter a number: ')
if answer == '':
break
elif int(answer) > biggest:
biggest = int(answer)
elif int(answer) < biggest:
pass
return biggest
#Fibonacci challenge
def fib(n):
count = 1
num1 = 1
temp_num1 = 1
num2 = 1
temp_num2 = 1
while count <= n:
print num1
temp_num2 = num1 + num2
temp_num1 = num2
num1 = temp_num1
num2 = temp_num2
count += 1
return
#Prime number challenge
def is_prime(number):
count = 2
while count < number:
if number % count > 0:
count +=1
elif number % count == 0:
return False
return True
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#1
import pygame
from pygame.locals import*
import math
import random
import time
#2
shootInterval=15
shootTimer=0
badtimer=100
badtimer1=0
badguys=[]
healthvalue=194
acc=[0,0]
arrows=[]
keys=[False,False,False,False]
autoshoot=False
playerpos=[100,100]
pygame.init()
width,height=1000,750
screen=pygame.display.set_mode((width,height))
pygame.mixer.init()
#3
player=pygame.image.load("resources/images/dude.png")
grass=pygame.image.load("resources/images/grass.png")
castle=pygame.image.load("resources/images/castle.png")
arrow=pygame.image.load('resources/images/bullet.png')
badguyimg1 = pygame.image.load("resources/images/badguy.png")
healthbar = pygame.image.load("resources/images/healthbar.png")
health=pygame.image.load("resources/images/health.png")
badguyimg=badguyimg1
gameover = pygame.image.load("resources/images/gameover.png")
gameoverFull=pygame.transform.scale(gameover,(width,height))
youwin = pygame.image.load("resources/images/youwin.png")
youwinFull=pygame.transform.scale(youwin,(width,height))
#3.1
hit = pygame.mixer.Sound("resources/audio/explode.wav")
enemy = pygame.mixer.Sound("resources/audio/enemy.wav")
shoot = pygame.mixer.Sound("resources/audio/shoot.wav")
hit.set_volume(0.05)
enemy.set_volume(0.05)
shoot.set_volume(0.05)
pygame.mixer.music.load('resources/audio/moonlight.wav')
pygame.mixer.music.play(-1, 0.0)
pygame.mixer.music.set_volume(0.25)
#4
running = 1
exitcode = 0
while running:
time.sleep(0.01)
badtimer-=1
#5
screen.fill([0,255,0])
#6
'''
for x in range(width/grass.get_width()+1):
for y in range (height/grass.get_height()+1):
screen.blit(grass,(x*100,y*100))
'''
for x in range (1,5):
screen.blit(castle,(0,height/5*x-50))
#6.1
position=pygame.mouse.get_pos()
angle = math.atan2(position[1]-(playerpos[1]+32),position[0]-(playerpos[0]+26))
playerrot = pygame.transform.rotate(player, 360-angle*57.29)
playerpos1 = (playerpos[0]-playerrot.get_rect().width/2, playerpos[1]-playerrot.get_rect().height/2)
screen.blit(playerrot, playerpos1)
#6.2
for bullet in arrows:
velx=math.cos(bullet[0])*5
vely=math.sin(bullet[0])*5
bullet[1]+=velx
bullet[2]+=vely
if bullet[1]<-64 or bullet[1]>640 or bullet[2]<-64 or bullet[2]>480:
del bullet
for projectile in arrows:
arrow1 = pygame.transform.rotate(arrow, 360-projectile[0]*57.29)
screen.blit(arrow1, (projectile[1], projectile[2]))
#6.3
if badtimer==0:
badguys.append([width, random.randint(50,height-50)])
badtimer=100-(badtimer1*2)
if badtimer1>=35:
badtimer1=35
else:
badtimer1+=5
index=0
for badguy in badguys:
if badguy[0]<-64:
badguys.pop(index)
badguy[0]-=10
badrect=pygame.Rect(badguyimg.get_rect())
badrect.top=badguy[1]
badrect.left=badguy[0]
if badrect.left<64:
healthvalue -= random.randint(5,20)
badguys.pop(index)
hit.play()
#6.3.2
index1=0
for bullet in arrows:
bullrect=pygame.Rect(arrow.get_rect())
bullrect.left=bullet[1]
bullrect.top=bullet[2]
if badrect.colliderect(bullrect):
acc[0]+=1
badguys.pop(index)
arrows.pop(index1)
enemy.play()
index1+=1
index+=1
for badguy in badguys:
screen.blit(badguyimg, badguy)
#6.4
font=pygame.font.Font(None,24)
survivedtext = font.render(str((90000-pygame.time.get_ticks())/60000)+":"+str((90000-pygame.time.get_ticks())/1000%60).zfill(2), True, (0,0,0))
textRect = survivedtext.get_rect()
textRect.topright=[635,5]
screen.blit(survivedtext, textRect)
#6.5
screen.blit(healthbar, (5,5))
for health1 in xrange(healthvalue):
screen.blit(health,(health1+8,8))
#7
pygame.display.flip()
#8
for event in pygame.event.get():
if event.type==pygame.MOUSEBUTTONDOWN:
autoshoot=True
if event.type==pygame.MOUSEBUTTONUP:
autoshoot=False
if event.type==pygame.QUIT:
pygame.quit()
exit(0)
if event.type == pygame.KEYDOWN:
if event.key==K_w:
keys[0]=True
elif event.key==K_a:
keys[1]=True
elif event.key==K_s:
keys[2]=True
elif event.key==K_d:
keys[3]=True
if event.type == pygame.KEYUP:
if event.key==pygame.K_w:
keys[0]=False
elif event.key==pygame.K_a:
keys[1]=False
elif event.key==pygame.K_s:
keys[2]=False
elif event.key==pygame.K_d:
keys[3]=False
if autoshoot and shootTimer<=0:
position=pygame.mouse.get_pos()
acc[1]+=1
arrows.append([math.atan2(position[1]-(playerpos1[1]+32),position[0]-(playerpos1[0]+26)),playerpos1[0]+32,playerpos1[1]+32])
shoot.play()
shootTimer=shootInterval
shootTimer-=1
#9
if keys[0]:
playerpos[1]-=5
elif keys[2]:
playerpos[1]+=5
if keys[1]:
playerpos[0]-=5
elif keys[3]:
playerpos[0]+=5
#10
if pygame.time.get_ticks()>=90000:
running=0
exitcode=1
if healthvalue<=0:
running=0
exitcode=0
if acc[1]!=0:
accuracy=acc[0]*1.0/acc[1]*100
else:
accuracy=0
#11
if exitcode==0:
pygame.font.init()
font = pygame.font.Font(None, 24)
text = font.render("Accuracy: "+str(accuracy)+"%", True, (255,0,0))
textRect = text.get_rect()
textRect.centerx = screen.get_rect().centerx
textRect.centery = screen.get_rect().centery+24
screen.blit(gameoverFull, (0,0))
screen.blit(text, textRect)
else:
pygame.font.init()
font = pygame.font.Font(None, 24)
text = font.render("Accuracy: "+str(accuracy)+"%", True, (0,255,0))
textRect = text.get_rect()
textRect.centerx = screen.get_rect().centerx
textRect.centery = screen.get_rect().centery+24
screen.blit(youwinFull, (0,0))
screen.blit(text, textRect)
while 1:
for event in pygame.event.get():
if event.type == pygame.QUIT:
pygame.quit()
exit(0)
pygame.display.flip()
| {
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# 1. Select 4 bounding boxes around each dot
# 2. For each frame:
# a. search some radius around the bounding box
# b. select a new bounding box from your search such that the SDD is minimized
# c. compute projective transformation based on the centers of each bounding box
# d. warp an image using that projection transformation
# e. output to png file
import cv2
import numpy as np
import sys
import os
import math
WHITE = [255,255,255]
def GetPointsFromBoxes(boxes):
p = np.zeros((4,2), dtype = "float32")
for i in range(len(boxes)):
p[i] = [boxes[i][0] + boxes[i][2]/2.0, boxes[i][1] + boxes[i][3]/2.0]
return p
# find the sum of squares difference between two images
def SumOfSquaresDifference(im1, im2):
diffIm = (im2 - im1)**2
return np.sum(diffIm)
# find the best bounding box in the next frame within a given radius
# that most closely matches the current bounding box
def BestBoundingBoxInRegion(prevFrame, curFrame, box, radius):
oldRegion = prevFrame[int(box[1]):int(box[1]+box[3]), int(box[0]):int(box[0]+box[2])]
testRegion = curFrame[(int(box[1]) - radius):(int(box[1]+box[3]) - radius), (int(box[0]) - radius):(int(box[0]+box[2]) - radius)]
bestSSD = math.inf
newBox = ((int(box[0]) - radius), (int(box[1]) - radius), box[2], box[3])
h,w = curFrame.shape
for i in range(-radius,radius):
for j in range(-radius,radius):
if ((int(box[1]) - i) < 0 or (int(box[0]) - j) < 0 or (int(box[1]+box[3]) - i) >= h or (int(box[0]+box[2]) - j) >= w):
continue
testRegion = curFrame[(int(box[1]) - i):(int(box[1]+box[3]) - i), (int(box[0]) - j):(int(box[0]+box[2]) - j)]
#the harris corners for both regions
oldCorners = cv2.cornerHarris(oldRegion,4,1,0.04)
testCorners = cv2.cornerHarris(testRegion,4,1,0.04)
testSSD = SumOfSquaresDifference(oldCorners, testCorners)
if (testSSD < bestSSD):
bestSSD = testSSD
newBox = ((int(box[0]) - j), (int(box[1]) - i), box[2], box[3])
return newBox
# selects 4 bounding boxes around each dot
# NOTE: when selecting bounding box, select from the center of the dot!
def SelectBoundingBoxes(stillFrame):
cv2.namedWindow('ROIs')
r1 = cv2.selectROI('ROIs', stillFrame)
r2 = cv2.selectROI('ROIs', stillFrame)
r3 = cv2.selectROI('ROIs', stillFrame)
r4 = cv2.selectROI('ROIs', stillFrame)
return [r1, r2, r3, r4]
def CreateComposite(source, inputImage, outputName, startFrame, numFrames, radius):
filename, fileExtension = os.path.splitext(outputName)
#spin to the start frame, no checks here
for sp in range(startFrame):
retSource, frameSource = source.read()
frameSource = cv2.resize(frameSource, (1280, 720))
# frameSource = cv2.copyMakeBorder(frameSource, radius+1, radius+1, radius+1, radius+1, cv2.BORDER_CONSTANT, value = WHITE)
#image dimensions
h,w,d = inputImage.shape
#the image coordinates that will be transformed
imagePoints = [ [0,0],[0,h-1],[w-1,h-1],[w-1,0] ]
#the point information for this frame and last frame
framePoints = []
framePointsPrev = []
#storage for the boxes
boxes = SelectBoundingBoxes(frameSource)
#signifies the first frame
firstFrame = True
for frameIndex in range(numFrames):
oldSource = frameSource
#Read the source video by a frame
retSource, frameSource = source.read()
if (not retSource):
break
frameSource = cv2.resize(frameSource, (1280, 720))
# frameSource = cv2.copyMakeBorder(frameSource, radius+1, radius+1, radius+1, radius+1, cv2.BORDER_CONSTANT, value = WHITE)
oldGray = cv2.cvtColor(oldSource, cv2.COLOR_BGR2GRAY)
newGray = cv2.cvtColor(frameSource, cv2.COLOR_BGR2GRAY)
outIm = frameSource
for bindex in range(len(boxes)):
print('hello ' + str(frameIndex) + ' ' + str(bindex) + '\n')
boxes[bindex] = BestBoundingBoxInRegion(oldGray, newGray, boxes[bindex], radius)
cv2.rectangle(outIm, (boxes[bindex][0], boxes[bindex][1]), (boxes[bindex][2] + boxes[bindex][0], boxes[bindex][3] + boxes[bindex][1]), (255,0,255))
pTarget = GetPointsFromBoxes(boxes)
pInput = np.array([[0.0, 0.0], [w, 0.0], [w, h], [0.0, h]], dtype = "float32")
M = cv2.getPerspectiveTransform(pInput, pTarget)
warped = cv2.warpPerspective(inputImage, M, (1280, 720))
warpmatte = warped == 0
outIm = warped + outIm * warpmatte
cv2.imwrite(filename + '_' + str(frameIndex) + fileExtension, outIm)
if __name__ == "__main__":
vidFile = sys.argv[1]
startFrame = int(sys.argv[2])
numFrames = int(sys.argv[3])
searchRadius = int(sys.argv[4])
outFileName = sys.argv[5]
inputImageName = sys.argv[6]
source = cv2.VideoCapture(vidFile)
inputImage = cv2.imread(inputImageName)
CreateComposite(source,inputImage, outFileName, startFrame, numFrames, searchRadius) | {
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"few_assignments": false,
"quality_score": 0.4162327122771219,
"avg_score": null,
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### (-1). Setup
import json
from rhine.instances import *
from rhine.datatypes import *
from rhine.functions import *
client = instantiate('CEFPUFKMUVJBNZMFUOPOLZEOM') # This API key will be disabled shortly after the demo - register your own for free at www.rhine.io.
### (0). Datasets
articles = json.loads(open('articles.json').read())
images = json.loads(open('images.json').read())
profiles = json.loads(open('profiles.json').read())
### (1). Search
# Search for news articles relating to a given topic.
def search(query):
# Iterate through each article, assigning a distance score.
for a in articles:
# Compute the distance from the user's query to the article text.
a['distance'] = client.run(distance(entity(query), text(a['text'])))
# If no relation is found, assign a distance of 100 (the maximum)
if a['distance'] is None: a['distance'] = 100
# Return the article with the lowest distance.
return min(articles, key = lambda a: a['distance'])
# (examples: 'politics', 'celebrity')
### (2). Filtration
# Find users interested in something.
def interested_in(query):
# Iterate through the user profiles, checking if any of their interests are related to what we want to know about.
for p in profiles:
# Compute the distance from the user's query to the profile's interests.
p['distance'] = min(client.pipeline([distance(entity(i), entity(query)) for i in p['interests']]))
# If no relation is found, assign a distance of 100 (the maximum)
if p['distance'] is None: p['distance'] = 100
# Return all users with distance lower than certain threshold
return [p for p in profiles if p['distance'] < 10]
# (examples: 'religion', 'food')
### (3). Sorting
# Automatic clustering!
def cluster():
return client.run(clustering([entity(i) for p in profiles for i in p['interests']]))
### (4). Knowledge
# Filter images by type.
def animals():
return [i for i in images if client.run(subclass(image.fromurl(i), entity('animal')))]
### (5). Inference / Prediction
# Match articles to users, just with distance.
def recommend(user):
profile = [p for p in profiles if p['name'] == user][0]
return min(articles, key = lambda a: client.run(distance(text(a['text']), \
grouped(entity(profile['interests'][0]), \
entity(profile['interests'][1]), \
entity(profile['interests'][2])))))
# (examples: 'Alex', 'Mary' ~~)
| {
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## 1. Shared Indexes ##
import pandas as pd
fandango = pd.read_csv('fandango_score_comparison.csv')
print(fandango.head(2))
print(fandango.index)
## 2. Using Integer Indexes to Select Rows ##
fandango = pd.read_csv('fandango_score_comparison.csv')
first_last = fandango.iloc[[0,len(fandango)-1]]
## 3. Using Custom Indexes ##
fandango = pd.read_csv('fandango_score_comparison.csv')
fandango_films = fandango.set_index(keys = 'FILM',inplace = False,drop = False)
print(fandango_films.index)
## 4. Using a Custom Index for Selection ##
best_movies_ever = fandango_films.loc[['The Lazarus Effect (2015)','Gett: The Trial of Viviane Amsalem (2015)','Mr. Holmes (2015)']]
## 5. Apply() Logic Over the Columns in a Dataframe ##
import numpy as np
# returns the data types as a Series
types = fandango_films.dtypes
# filter data types to just floats, index attributes returns just column names
float_columns = types[types.values == 'float64'].index
# use bracket notation to filter columns to just float columns
float_df = fandango_films[float_columns]
# `x` is a Series object representing a column
deviations = float_df.apply(lambda x: np.std(x))
print(deviations)
## 6. Apply() Logic Over Columns: Practice ##
double_df = float_df.apply(lambda x: x*2)
print(double_df.head(1))
halved_df = float_df.apply(lambda x:x/2)
print(halved_df.head(1))
## 7. Apply() Over Dataframe Rows ##
rt_mt_user = float_df[['RT_user_norm', 'Metacritic_user_nom']]
rt_mt_deviations = rt_mt_user.apply(lambda x: np.std(x), axis=1)
print(rt_mt_deviations[0:5])
rt_mt_means = float_df[['RT_user_norm', 'Metacritic_user_nom']].apply(lambda x:np.mean(x), axis = 1)
print(rt_mt_means.head()) | {
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"quality_score": 0.39186278286258064,
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# 1. Size of vocabulary file
# 2. Name of vocabulary file
# 3. The input file name
# 4. The number of sentences in input file
# 5. The window size
# 6. The position from which I will start my work.
# 7. The name of the file to which I would write.
import sys, itertools
import struct
#import contextlib, mmap
vocab_size=int(sys.argv[1])
vocab_dict=dict((v.strip(),i+1) for i,v in enumerate(open(sys.argv[2], "r", 1<<20)))
text_filename=sys.argv[3]
sentence_count=int(sys.argv[4])
window_size=int(sys.argv[5])
starting_position=int(sys.argv[6])
increment_size=int(sys.argv[7])
outfile=open(sys.argv[8], "wb", 100<<20)
min_length_sentence=int(sys.argv[9])
max_pos=min(sentence_count, starting_position+increment_size)
bos_idx=vocab_size+1
eos_idx=vocab_size+2
packer=struct.Struct('iii')
outfile.write(packer.pack(vocab_size, eos_idx, 0));
keyerr_dict={}
with open(text_filename, 'rb', 100<<20) as m:
# with contextlib.closing(mmap.mmap(f.fileno(), 0, access=mmap.ACCESS_READ)) as m:
# Skip the lines till we reach starting position
for _ in xrange(starting_position):
m.readline()
for _ in xrange(starting_position, max_pos):
row=m.readline().strip().split()
if len(row)>min_length_sentence:
for i,w in enumerate(row):
try:
w_idx=vocab_dict[w]
except KeyError as k:
keyerr_dict[w]=None
continue
for j in itertools.chain(xrange(-window_size, 0), xrange(1,window_size+1)):
e=i+j
if e < 0:
outfile.write(packer.pack(w_idx, bos_idx, j))
elif e >= len(row):
outfile.write(packer.pack(w_idx, eos_idx, j))
else:
try:
v=vocab_dict[row[e]]
except KeyError as k:
continue
outfile.write(packer.pack(w_idx, v, j))
outfile.close()
if len(keyerr_dict):
print >> sys.stderr, str(keyerr_dict.keys())
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# 1. Something that actually "writes" an integer to memory and can "read" an integer from a memory address
# 2. Value - something allowing us to get several integers from memory and interpret them as a thing, or
# write a thing out as several integers into memory
# 3. A specific type of value: "pointer". Interpretation: location in underlying address space of
# whatever type this is pointing to.
# 2+3. A function to get a pointer value from any value.
# 4. "Reference". System for managing "references", which at least must give us a value for a reference
# when we ask for it. Name. Scope.
# 5. Scope. ?? Functions. Calling things.
# Reference: "name" "scope" "value"
# asdf = [1, 2, 3]
# My memory manager makes some space for a list with 1, 2, 3 in it. Value X
# Now create a reference with name "asdf", the current scope, and value X.
# qwerty = asdf
# Create a reference with name "qwerty", the current scope, and value...? X.
# qwerty[1] = 'hi' ====> qwerty is a reference with value X. Change X to have its second element be 'hi'.
# asdf[1] = ? it returns [1, 'hi', 3]
# asdf = ['nope'] ====> asdf's value is now Y
#
# def F(r, s):
# r = s + 1
# return r + s
#
# a = [1,1,1,1,,1,1,1,1]
# pa = a.value.getPointer()
# b = 4
# a = F(a, b)
#
# create val(addressX, [thousand element list])
# create ref("a", 0, X)
# create val(addressY, 4)
# create ref("b", 0, Y)
# Call F! *enter scope* [optional: make values X' and Y', copies of X and Y]
# create ref("r", 1, X)
# --- create ref("r", 1, lookup("a",0))
# --- r = 1
# create ref("s", 1, Y)
# create val(addressZ, the value in s, which is at Y and is 4, plus 1, or 5)
# update ref("r", 1, Z)
# create val(addressA, the value in r (5) plus the value in s (4), or 9)
# return
# *leave scope*
# update ref("a", 0, A)
class Memory(object):
def getAddressOfUnusedMemoryOfSizeN(self, N):
pass
def write(self, address, listOfIntegers):
pass
def read(self, address, N):
pass
def display(self):
print(self.mem)
class Value(object):
"""Represents a fixed size structure written somehow to memory
A value has a size, which is the size of the list of integers returned by getData.
getSize returns that size.
getData queries the underlying memory and builds a list of integers to return.
getPointer returns a Value of size 1 whose getData returns a list of size 1 whose
element is the address of the memory backing the Value that this pointer Value points to.
e.g. if we have a Value X storing a list [3,4] at underlying address 22-23, X.getPointer()
returns a Value Y storing a list [22] at underlying address ???whoknows it's not up to us.
"""
def getSize(self):
pass
def getData(self):
pass
def createPointerValue(self):
pass
def free(self):
pass
def display(self, name):
print(name + " has index "+str(self.address)+" size "+ str(self.size) + " in:")
self.mem.display()
def clone(self):
pass
class Reference(object):
pass
#???
class ReferenceManager(object):
# enter scope #???
# leave scope
# assign value to reference
# get value of reference
def __init__(self, mem):
self.mem = mem
# refs is a stack. Each element is a scope which can have several name:value pairs.
# the current scope is peek. Leaving scope is pop (plus cleanup). Entering scope is
# push (plus initialization)
self.refs = [{}]
def setReferenceValue(self, name, value):
self.refs[-1][name] = value
def getReferenceValue(self, name):
return self.refs[-1][name]
def enterScopeByValue(self, previousScopeNamesOfParameterValues, newScopeParameterNames):
newScope = {}
for parameterName, previousParameterName in zip(newScopeParameterNames, previousScopeNamesOfParameterValues):
referenceValue = self.getReferenceValue(previousParameterName).clone()
newScope[parameterName] = referenceValue
self.refs.append(newScope)
def enterScope(self, previousScopeNamesOfParameterValues, newScopeParameterNames):
newScope = {}
for parameterName, previousParameterName in zip(newScopeParameterNames, previousScopeNamesOfParameterValues):
referenceValue = self.getReferenceValue(previousParameterName)
newScope[parameterName] = referenceValue
self.refs.append(newScope)
def leaveScope(self):
cleanup = self.refs.pop()
# clean this shit up
# a = 1
# aPlus1 = a + 1
# referenceManager.enterScope(["b", "c"], ["a", "aPlus1"])
#
class PythonFixedSizeListOfIntegersMemory(Memory):
def __init__(self, size):
self.mem = [0]*size
self.used = [0]*size
self.size = size
self.EOM = "EOM Addressing past end of memory"
self.DEFRAG = "DEFRAG Memory too fragrmented; Not enough executive blocks"
def getAddressOfUnusedMemoryOfSizeN(self, N):
self.rangeTooLarge(0,N)
unusedSize = 0
address = 0
while unusedSize < N:
if address == self.size:
raise Exception(self.EOM)
if self.used[address] == 0:
unusedSize += 1
else:
unusedSize = 0
address += 1
if unusedSize == N:
return address - N
else:
raise Exception(self.DEFRAG)
def rangeTooLarge(self,address,N):
exclusiveEndAddress = address + N
if exclusiveEndAddress > self.size:
raise Exception(self.EOM)
def markMemoryUsed(self, address, N):
for i in range(address, address + N):
self.used[i] = 1
def markMemoryUnused(self, address, N):
for i in range(address, address + N):
self.used[i] = 0
def write(self, address, listOfIntegers):
length = len(listOfIntegers)
self.rangeTooLarge(address,length)
for i in range(length):
self.mem[address + i] = listOfIntegers[i]
self.markMemoryUsed(address,len(listOfIntegers))
def read(self, address, N):
storedData = [0]*N
for i in range(N):
storedData[i] = self.mem[address + i]
return storedData
def free(self, address, N):
self.markMemoryUnused(address, N)
class ArbitrarySizeValue(Value):
def __init__(self,mem,data):
self.mem = mem
self.size = len(data)
self.address = self.mem.getAddressOfUnusedMemoryOfSizeN(self.size)
self.mem.write(self.address,data)
def getSize(self):
return self.size
def getData(self):
return self.mem.read(self.address,self.size)
def createPointerValue(self):
pointer = PointerValue(self.mem,[self.address])
return pointer
def free(self):
self.mem.free(self.address,self.size)
def clone(self):
newValue = ArbitrarySizeValue(self.mem,self.getData())
return newValue
# PointerValue should point to a size 1 mem whose data is the index of the thing it's pointing to
class PointerValue(ArbitrarySizeValue):
def __init__(self, mem, data):
super(PointerValue, self).__init__(mem, data)
m = PythonFixedSizeListOfIntegersMemory(10)
#m.write(3, [1,2,3,4])
#print(m.mem[4]) #returns 2
#r = m.read(3, 4)
#print(r) #returns [1,2,3,4]
##m.write(99,[1,2]) #raises Exception
m.getAddressOfUnusedMemoryOfSizeN(1)
# somehow we have a Value that's a ListOfSizeTwo called v
v = ArbitrarySizeValue(m, [6, 8])
vData = v.getData()
#print(v.mem.mem)
#print(v.mem.used)
vPointer = v.createPointerValue()
vPointerData = vPointer.getData()
vDataAddress = vPointerData[0]
otherVData = m.read(vDataAddress, 2)
#print(otherVData)
# vData and otherVData are equal
#print()
m = PythonFixedSizeListOfIntegersMemory(10)
d = ArbitrarySizeValue(m, [-1])
v = ArbitrarySizeValue(m, [111, 21, 441])
#v.display("v")
vp = v.createPointerValue()
#vp.display("&v")
vpp = vp.createPointerValue()
#vpp.display("&&v")
w = ArbitrarySizeValue(m, [999])
#w.display("w")
wp = w.createPointerValue()
#wp.display("&w")
vp2 = v.createPointerValue()
#vp2.display("&v (2)")
vpp2 = vp2.createPointerValue()
#vpp2.display("&&v (2)")
w.free()
vp.free()
#m.display()
vppp = vpp.createPointerValue()
#vppp.display("&&&v")
vppp = vpp.createPointerValue()
#print("\r[-1, 111, 21, 441, 5, 4, 5, 6, 1, 8]")
#vppp.display("vppp")
# asdf = [42, 42]
# qwerty = asdf <---
# qwerty[0] = 1 <---
# print(asdf)
m = PythonFixedSizeListOfIntegersMemory(30)
manager = ReferenceManager(m)
# asdf = 42+42
manager.setReferenceValue("asdf", ArbitrarySizeValue(m, [42, 42]))
# qwerty = <the same reference as> asdf
manager.setReferenceValue("qwerty", manager.getReferenceValue("asdf"))
# qwerty highest order byte becomes 1
# 9 = 1001
# 65537 = 00000001 00000001 00000000 00000001 ----- 0x01010001 ... 0-9a-f or 16 possibilities 2^4
# boolean is 1 bit
# byte is 8 bits
# char 8 bits
# short 8 bits
# int 16 or 32
v = manager.getReferenceValue("qwerty")
m.write(v.createPointerValue().getData()[0], [1])
# print asdf
print(manager.getReferenceValue("asdf").getData())
# pAsdf = &asdf
manager.setReferenceValue("pAsdf", manager.getReferenceValue("asdf").createPointerValue())
# call F(pAsdf) where F is def F(pB): ...
manager.enterScopeByValue(["pAsdf"], ["pB"])
# *pB = 99
m.write(manager.getReferenceValue("pB").getData()[0],[99])
# print *pB
print(m.read(manager.getReferenceValue("pB").getData()[0],2))
# return
manager.leaveScope()
# print qwerty
print(manager.getReferenceValue("qwerty").getData())
m.display()
# F(a+1,b)
# def F(lol, hi)
# enter scope needs input values and "output" references | {
"repo_name": "petersrinivasan/neopeng",
"path": "memory.py",
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"autogenerated": false,
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"config_test": false,
"has_no_keywords": false,
"few_assignments": false,
"quality_score": 0.9393160890300503,
"avg_score": 0.016258370845644972,
"num_lines": 295
} |
# 1st Activation Function: sigmoid
# 2nd Activation Function: softmax
# Loss Function: Cross Entropy Loss
# Train Algorithm: Batch Gradient Descent
# Bias terms are used.
# force the result of divisions to be float numbers
from __future__ import division
# I/O Libraries
from os import listdir
from os.path import isfile, join
# import local python files
from read_mnist_data_from_files import *
from Utilities import *
import numpy as np
__author__ = 'c.kormaris'
###############
class NNParams:
num_input_nodes = 1000 # D: number of nodes in the input layers (aka: no of features)
num_hidden_nodes = 3 # M: number of nodes in the hidden layer
num_output_nodes = 2 # K: number of nodes in the output layer (aka: no of categories)
# Gradient descent parameters
eta = 0.001 # the learning rate of gradient descent
reg_lambda = 0.01 # the regularization parameter
###############
# FUNCTIONS #
# Feed-Forward
def forward(X, W1, W2):
s1 = X.dot(W1.T) # s1: NxM
o1 = sigmoid(s1) # o1: NxM
grad = sigmoid_output_to_derivative(o1) # the gradient of sigmoid function, grad: NxM
o1 = concat_ones_vector(o1) # o1: NxM+1
s2 = o1.dot(W2.T) # s2: NxK
o2 = softmax(s2) # o2: NxK
return s1, o1, grad, s2, o2
# Helper function to evaluate the total loss of the dataset
def loss_function(X, t, W1, W2):
# Feed-Forward to calculate our predictions
_, _, _, _, o2 = forward(X, W1, W2)
# Calculating the loss
logprobs = -np.multiply(t, np.log(o2))
data_loss = np.sum(logprobs) # cross entropy loss
data_loss *= 2 # for the gradient check to work
# Add regularization term to loss (optional)
data_loss += NNParams.reg_lambda / 2 * (np.sum(np.square(W1)) + np.sum(np.square(W2)))
return data_loss
def test(X, W1, W2):
# Feed-Forward
_, _, _, _, o2 = forward(X, W1, W2)
return np.argmax(o2, axis=1)
# This function learns the parameter weights W1, W2 for the neural network and returns them.
# - iterations: Number of iterations through the training data for gradient descent.
# - print_loss: If True, print the loss every 1000 iterations.
def train(X, t, W1, W2, iterations=20000, tol=1e-6, print_loss=False):
# Run Batch Gradient Descent
loss_old = -np.inf
for i in range(iterations):
W1, W2, _, _ = gradient_descent(X, t, W1, W2)
# Optionally print the loss.
# This is expensive because it uses the whole dataset, so we don't_train want to do it too often.
if print_loss and i % 1000 == 0:
loss = loss_function(X, t, W1, W2)
print("Cross entropy loss after iteration %i: %f" % (i, loss))
if np.abs(loss - loss_old) < tol:
break
loss_old = loss
return W1, W2
# Update the Weight matrices using Gradient Descent
def gradient_descent(X, t, W1, W2):
# W1: MxD+1 = num_hidden_nodes X_train num_of_features
# W2: KxM+1 = num_of_categories X_train num_hidden_nodes
# Feed-Forward
_, o1, grad, _, o2 = forward(X, W1, W2)
# Back-Propagation
#sum1 = np.matrix(np.sum(t_train, axis=1)).T # sum1: Nx1
#t_train = np.matlib.repmat(sum1, 1, K) # t_train: NxK, each row contains the same sum values in each column
#delta1 = np.multiply(o2, t_train) - t_train # delta1: NxK
delta1 = o2 - t # delta1: NxK, since t_train is one-hot matrix, then t_train=1, so we can omit it
W2_reduce = W2[np.ix_(np.arange(W2.shape[0]), np.arange(1, W2.shape[1]))] # skip the first column of W2: KxM
delta2 = np.dot(delta1, W2_reduce) # delta2: NxM
delta3 = np.multiply(delta2, grad) # element-wise multiplication, delta3: NxM
dW1 = np.dot(delta3.T, X) # MxD+1
dW2 = np.dot(delta1.T, o1) # KxM+1
# Add regularization terms
dW1 = dW1 + NNParams.reg_lambda * W1
dW2 = dW2 + NNParams.reg_lambda * W2
# Update gradient descent parameters
W1 = W1 - NNParams.eta * dW1
W2 = W2 - NNParams.eta * dW2
return W1, W2, dW1, dW2
def gradient_check(X, t, W1, W2):
_, _, gradEw1, gradEw2 = gradient_descent(X, t, W1, W2)
epsilon = 1e-6
# gradient_check for parameter W1
numgradEw1 = np.zeros(W1.shape)
for i in range(W1.shape[0]):
for j in range(W1.shape[1]):
W1tmp = W1
W1tmp[i, j] = W1[i, j] + epsilon
Ewplus = loss_function(X, t, W1tmp, W2)
W1tmp = W1
W1tmp[i, j] = W1[i, j] - epsilon
Ewminus = loss_function(X, t, W1tmp, W2)
numgradEw1[i, j] = (Ewplus - Ewminus) / (2 * epsilon)
diff1 = np.linalg.norm(gradEw1 - numgradEw1) / np.linalg.norm(gradEw1 + numgradEw1)
print('The maximum absolute norm for parameter W1, in the gradient_check is: ' + str(diff1))
# gradient_check for parameter W2
numgradEw2 = np.zeros(W2.shape)
for i in range(W2.shape[0]):
for j in range(W2.shape[1]):
W2tmp = W2
W2tmp[i, j] = W2[i, j] + epsilon
Ewplus = loss_function(X, t, W1, W2tmp)
W2tmp = W2
W2tmp[i, j] = W2[i, j] - epsilon
Ewminus = loss_function(X, t, W1, W2tmp)
numgradEw2[i, j] = (Ewplus - Ewminus) / (2 * epsilon)
diff2 = np.linalg.norm(gradEw2 - numgradEw2) / np.linalg.norm(gradEw2 + numgradEw2)
print('The maximum absolute norm for parameter W2, in the gradient_check is: ' + str(diff2))
###############
# MAIN #
feature_dictionary_dir = "feature_dictionary.txt"
spam_train_dir = "./LingspamDataset/spam-train/"
ham_train_dir = "./LingspamDataset/nonspam-train/"
spam_test_dir = "./LingspamDataset/spam-test/"
ham_test_dir = "./LingspamDataset/nonspam-test/"
# read feature dictionary from file
feature_tokens = read_dictionary_file(feature_dictionary_dir)
NNParams.num_input_nodes = len(feature_tokens)
print("Reading TRAIN files...")
spam_train_files = sorted([f for f in listdir(spam_train_dir) if isfile(join(spam_train_dir, f))])
ham_train_files = sorted([f for f in listdir(ham_train_dir) if isfile(join(ham_train_dir, f))])
train_files = list(spam_train_files)
train_files.extend(ham_train_files)
train_labels = [1] * len(spam_train_files)
train_labels.extend([0] * len(ham_train_files))
X_train, y_train = get_classification_data(spam_train_dir, ham_train_dir, train_files, train_labels, feature_tokens, 'train')
print('')
print("Reading TEST files...")
spam_test_files = sorted([f for f in listdir(spam_test_dir) if isfile(join(spam_test_dir, f))])
ham_test_files = sorted([f for f in listdir(ham_test_dir) if isfile(join(ham_test_dir, f))])
test_files = list(spam_test_files)
test_files.extend(ham_test_files)
test_true_labels = [1] * len(spam_test_files)
test_true_labels.extend([0] * len(ham_test_files))
X_test, y_test_true = get_classification_data(spam_test_dir, ham_test_dir, test_files, test_true_labels, feature_tokens, 'test')
print('')
# normalize the data using mean normalization
X_train = X_train - np.mean(X_train)
X_test = X_test - np.mean(X_test)
# concat ones vector
X_train = concat_ones_vector(X_train)
X_test = concat_ones_vector(X_test)
# t_train: 1-hot matrix for the categories y_train
t_train = np.zeros((y_train.shape[0], NNParams.num_output_nodes))
t_train[np.arange(y_train.shape[0]), y_train] = 1
# Initialize the parameters to random values. We need to learn these.
np.random.seed(0)
W1 = np.random.randn(NNParams.num_hidden_nodes, NNParams.num_input_nodes) / np.sqrt(
NNParams.num_input_nodes) # W1: MxD
W2 = np.random.randn(NNParams.num_output_nodes, NNParams.num_hidden_nodes) / np.sqrt(
NNParams.num_hidden_nodes) # W2: KxM
# concat ones vector
W1 = concat_ones_vector(W1) # W1: MxD+1
W2 = concat_ones_vector(W2) # W2: KxM+1
# Do a gradient check first
# SKIP THIS PART FOR FASTER EXECUTION
'''
print('Running gradient check...')
ch = np.random.permutation(X_train.shape[0])
ch = ch[0:20] # get the 20 first data
gradient_check(X_train[ch, :], t_train[ch, :], W1, W2)
'''
print('')
# train the Neural Network Model
W1, W2 = train(X_train, t_train, W1, W2, iterations=20000, tol=1e-6, print_loss=True)
# test the Neural Network Model
predicted = test(X_test, W1, W2)
# check predictions
wrong_counter = 0 # the number of wrong classifications made by Logistic Regression
spam_counter = 0 # the number of spam files
ham_counter = 0 # the number of ham files
wrong_spam_counter = 0 # the number of spam files classified as ham
wrong_ham_counter = 0 # the number of ham files classified as spam
print("")
print('checking predictions...')
for i in range(len(predicted)):
if predicted[i] == 1 and y_test_true[i] == 1:
print("data" + str(i) + ' classified as: SPAM -> correct')
spam_counter = spam_counter + 1
elif predicted[i] == 1 and y_test_true[i] == 0:
print("data" + str(i) + ' classified as: SPAM -> WRONG!')
ham_counter = ham_counter + 1
wrong_ham_counter = wrong_ham_counter + 1
wrong_counter = wrong_counter + 1
elif predicted[i] == 0 and y_test_true[i] == 1:
print("data" + str(i) + ' classified as: HAM -> WRONG!')
spam_counter = spam_counter + 1
wrong_spam_counter = wrong_spam_counter + 1
wrong_counter = wrong_counter + 1
elif predicted[i] == 0 and y_test_true[i] == 0:
print("data" + str(i) + ' classified as: HAM -> correct')
ham_counter = ham_counter + 1
print('')
# Accuracy
accuracy = ((len(X_test) - wrong_counter) / len(X_test)) * 100
print("accuracy: " + str(accuracy) + " %")
print("")
# Calculate Precision-Recall
print("number of wrong classifications: " + str(wrong_counter) + ' out of ' + str(len(X_test)) + ' files')
print("number of wrong spam classifications: " + str(wrong_spam_counter) + ' out of ' + str(spam_counter) + ' spam files')
print("number of wrong ham classifications: " + str(wrong_ham_counter) + ' out of ' + str(ham_counter) + ' ham files')
print("")
spam_precision = (spam_counter - wrong_spam_counter) / (spam_counter - wrong_spam_counter + wrong_ham_counter)
print("precision for spam files: " + str(spam_precision))
ham_precision = (ham_counter - wrong_ham_counter) / (ham_counter - wrong_ham_counter + wrong_spam_counter)
print("precision for ham files: " + str(ham_precision))
spam_recall = (spam_counter - wrong_spam_counter) / spam_counter
print("recall for spam files: " + str(spam_recall))
ham_recall = (ham_counter - wrong_ham_counter) / ham_counter
print("recall for ham files: " + str(ham_recall))
| {
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"path": "NeuralNetworksForSpamHamClassification/NN_SpamHam_CrossEntropy_batch_gradient_descent.py",
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} |
# 1st Activation Function: sigmoid
# 2nd Activation Function: softmax
# Loss Function: Cross Entropy Loss
# Train Algorithm: Mini-batch Gradient Descent
# Bias terms are used.
# force the result of divisions to be float numbers
from __future__ import division
from pandas import DataFrame
import pandas as pd
# I/O Libraries
from os import listdir
from os.path import isfile, join
# import local python files
from read_mnist_data_from_files import *
from Utilities import *
import numpy as np
__author__ = 'c.kormaris'
# set options
pd.set_option('display.width', 1000)
pd.set_option('display.max_rows', 200)
###############
class NNParams:
num_input_nodes = 1000 # D: number of nodes in the input layers (aka: no of features)
num_hidden_nodes = 3 # M: number of nodes in the hidden layer
num_output_nodes = 2 # K: number of nodes in the output layer (aka: no of categories)
# Gradient descent parameters
eta = 0.001 # the learning rate of gradient descent
reg_lambda = 0.01 # the regularization parameter
batch_size = 50
###############
# FUNCTIONS #
# Feed-Forward
def forward(X, W1, W2):
s1 = X.dot(W1.T) # s1: NxM
o1 = sigmoid(s1) # o1: NxM
grad = sigmoid_output_to_derivative(o1) # the gradient of sigmoid function, grad: NxM
o1 = concat_ones_vector(o1) # o1: NxM+1
s2 = o1.dot(W2.T) # s2: NxK
o2 = softmax(s2) # o2: NxK
return s1, o1, grad, s2, o2
# Helper function to evaluate the total loss of the dataset
def loss_function(X, t, W1, W2):
# Feed-Forward to calculate our predictions
_, _, _, _, o2 = forward(X, W1, W2)
# Calculating the loss
logprobs = -np.multiply(t, np.log(o2))
data_loss = np.sum(logprobs) # cross entropy loss
data_loss *= 2 # for the gradient check to work
# Add regularization term to loss (optional)
data_loss += NNParams.reg_lambda / 2 * (np.sum(np.square(W1)) + np.sum(np.square(W2)))
return data_loss
def test(X, W1, W2):
# Feed-Forward
_, _, _, _, o2 = forward(X, W1, W2)
return np.argmax(o2, axis=1)
# This function learns the parameter weights W1, W2 for the neural network and returns them.
# - iterations: Number of iterations through the training data for gradient descent.
# - print_loss: If True, print the loss.
def train(X, t, W1, W2, epochs=50, tol=1e-6, print_loss=False):
# Run Mini-batch Gradient Descent
num_examples = X.shape[0]
s_old = -np.inf
for e in range(epochs):
s = 0
iterations = int(np.ceil(num_examples / NNParams.batch_size))
for i in range(iterations):
start_index = int(i * NNParams.batch_size)
end_index = int(i * NNParams.batch_size + NNParams.batch_size)
W1, W2, _, _ = gradient_descent(np.matrix(X[start_index:end_index, :]), np.matrix(t[start_index:end_index, :]), W1, W2)
s = s + loss_function(np.matrix(X[start_index:end_index, :]), np.matrix(t[start_index:end_index, :]), W1, W2)
# Optionally print the loss.
if print_loss:
print("Cross entropy loss after epoch %i: %f" % (e, loss_function(X, t, W1, W2)))
if np.abs(s - s_old) < tol:
break
s_old = s
return W1, W2
# Update the Weight matrices using Gradient Descent
def gradient_descent(X, t, W1, W2):
# W1: MxD+1 = num_hidden_nodes X_train num_of_features
# W2: KxM+1 = num_of_categories X_train num_hidden_nodes
# Feed-Forward
_, o1, grad, _, o2 = forward(X, W1, W2)
# Back-Propagation
#sum1 = np.matrix(np.sum(t_train, axis=1)).T # sum1: Nx1
#t_train = np.matlib.repmat(sum1, 1, K) # t_train: NxK, each row contains the same sum values in each column
#delta1 = np.multiply(o2, t_train) - t_train # delta1: NxK
delta1 = o2 - t # delta1: NxK, since t_train is one-hot matrix, then t_train=1, so we can omit it
W2_reduce = W2[np.ix_(np.arange(W2.shape[0]), np.arange(1, W2.shape[1]))] # skip the first column of W2: KxM
delta2 = np.dot(delta1, W2_reduce) # delta2: NxM
delta3 = np.multiply(delta2, grad) # element-wise multiplication, delta3: NxM
dW1 = np.dot(delta3.T, X) # MxD+1
dW2 = np.dot(delta1.T, o1) # KxM+1
# Add regularization terms
dW1 = dW1 + NNParams.reg_lambda * W1
dW2 = dW2 + NNParams.reg_lambda * W2
# Update gradient descent parameters
W1 = W1 - NNParams.eta * dW1
W2 = W2 - NNParams.eta * dW2
return W1, W2, dW1, dW2
def gradient_check(X, t, W1, W2):
_, _, gradEw1, gradEw2 = gradient_descent(X, t, W1, W2)
epsilon = 1e-6
# gradient_check for parameter W1
numgradEw1 = np.zeros(W1.shape)
for i in range(W1.shape[0]):
for j in range(W1.shape[1]):
W1tmp = W1
W1tmp[i, j] = W1[i, j] + epsilon
Ewplus = loss_function(X, t, W1tmp, W2)
W1tmp = W1
W1tmp[i, j] = W1[i, j] - epsilon
Ewminus = loss_function(X, t, W1tmp, W2)
numgradEw1[i, j] = (Ewplus - Ewminus) / (2 * epsilon)
# print('gradEw1: ' + str(gradEw1))
# print('numgradEw1: ' + str(numgradEw1))
diff1 = np.linalg.norm(gradEw1 - numgradEw1) / np.linalg.norm(gradEw1 + numgradEw1)
print('The maximum absolute norm for parameter W1, in the gradient_check is: ' + str(diff1))
print('')
# gradient_check for parameter W2
numgradEw2 = np.zeros(W2.shape)
for i in range(W2.shape[0]):
for j in range(W2.shape[1]):
W2tmp = W2
W2tmp[i, j] = W2[i, j] + epsilon
Ewplus = loss_function(X, t, W1, W2tmp)
W2tmp = W2
W2tmp[i, j] = W2[i, j] - epsilon
Ewminus = loss_function(X, t, W1, W2tmp)
numgradEw2[i, j] = (Ewplus - Ewminus) / (2 * epsilon)
# print('gradEw2: ' + str(gradEw2))
# print('numgradEw2: ' + str(numgradEw2))
diff2 = np.linalg.norm(gradEw2 - numgradEw2) / np.linalg.norm(gradEw2 + numgradEw2)
#diff2 = np.sum(np.abs(gradEw2 - numgradEw2)) / np.sum(np.abs(gradEw2 + numgradEw2))
print('The maximum absolute norm for parameter W2, in the gradient_check is: ' + str(diff2))
###############
# MAIN #
feature_dictionary_dir = "feature_dictionary.txt"
spam_train_dir = "./LingspamDataset/spam-train/"
ham_train_dir = "./LingspamDataset/nonspam-train/"
spam_test_dir = "./LingspamDataset/spam-test/"
ham_test_dir = "./LingspamDataset/nonspam-test/"
# read feature dictionary from file
feature_tokens = read_dictionary_file(feature_dictionary_dir)
NNParams.num_input_nodes = len(feature_tokens)
print("Reading TRAIN files...")
spam_train_files = sorted([f for f in listdir(spam_train_dir) if isfile(join(spam_train_dir, f))])
ham_train_files = sorted([f for f in listdir(ham_train_dir) if isfile(join(ham_train_dir, f))])
train_files = list(spam_train_files)
train_files.extend(ham_train_files)
train_labels = [1] * len(spam_train_files)
train_labels.extend([0] * len(ham_train_files))
X_train, y_train = get_classification_data(spam_train_dir, ham_train_dir, train_files, train_labels, feature_tokens, 'train')
print('')
print("Reading TEST files...")
spam_test_files = sorted([f for f in listdir(spam_test_dir) if isfile(join(spam_test_dir, f))])
ham_test_files = sorted([f for f in listdir(ham_test_dir) if isfile(join(ham_test_dir, f))])
test_files = list(spam_test_files)
test_files.extend(ham_test_files)
test_true_labels = [1] * len(spam_test_files)
test_true_labels.extend([0] * len(ham_test_files))
X_test, y_test_true = get_classification_data(spam_test_dir, ham_test_dir, test_files, test_true_labels, feature_tokens, 'test')
print('')
# normalize the data using mean normalization
X_train = X_train - np.mean(X_train)
X_test = X_test - np.mean(X_test)
# concat ones vector
X_train = concat_ones_vector(X_train)
X_test = concat_ones_vector(X_test)
# t_train: 1-hot matrix for the categories y_train
t_train = np.zeros((y_train.shape[0], NNParams.num_output_nodes))
t_train[np.arange(y_train.shape[0]), y_train] = 1
# Initialize the parameters to random values. We need to learn these.
np.random.seed(0)
W1 = np.random.randn(NNParams.num_hidden_nodes, NNParams.num_input_nodes) / np.sqrt(
NNParams.num_input_nodes) # W1: MxD
W2 = np.random.randn(NNParams.num_output_nodes, NNParams.num_hidden_nodes) / np.sqrt(
NNParams.num_hidden_nodes) # W2: KxM
# concat ones vector
W1 = concat_ones_vector(W1) # W1: MxD+1
W2 = concat_ones_vector(W2) # W2: KxM+1
# Do a gradient check first
# SKIP THIS PART FOR FASTER EXECUTION
'''
print('Running gradient check...')
ch = np.random.permutation(X_train.shape[0])
ch = ch[0:20] # get the 20 first data
gradient_check(X_train[ch, :], t_train[ch, :], W1, W2)
'''
print('')
# train the Neural Network Model
W1, W2 = train(X_train, t_train, W1, W2, epochs=50, tol=1e-6, print_loss=True)
# test the Neural Network Model
predicted = test(X_test, W1, W2)
# check predictions
wrong_counter = 0 # the number of wrong classifications made by Logistic Regression
spam_counter = 0 # the number of spam files
ham_counter = 0 # the number of ham files
wrong_spam_counter = 0 # the number of spam files classified as ham
wrong_ham_counter = 0 # the number of ham files classified as spam
print('')
print('checking predictions...')
for i in range(len(predicted)):
if predicted[i] == 1 and y_test_true[i] == 1:
print("data" + str(i) + ' classified as: SPAM -> correct')
spam_counter = spam_counter + 1
elif predicted[i] == 1 and y_test_true[i] == 0:
print("data" + str(i) + ' classified as: SPAM -> WRONG!')
ham_counter = ham_counter + 1
wrong_ham_counter = wrong_ham_counter + 1
wrong_counter = wrong_counter + 1
elif predicted[i] == 0 and y_test_true[i] == 1:
print("data" + str(i) + ' classified as: HAM -> WRONG!')
spam_counter = spam_counter + 1
wrong_spam_counter = wrong_spam_counter + 1
wrong_counter = wrong_counter + 1
elif predicted[i] == 0 and y_test_true[i] == 0:
print("data" + str(i) + ' classified as: HAM -> correct')
ham_counter = ham_counter + 1
print('')
# Accuracy
accuracy = ((len(X_test) - wrong_counter) / len(X_test)) * 100
print("accuracy: " + str(accuracy) + " %")
print('')
# Calculate Precision-Recall
print("number of wrong classifications: " + str(wrong_counter) + ' out of ' + str(len(X_test)) + ' files')
print("number of wrong spam classifications: " + str(wrong_spam_counter) + ' out of ' + str(spam_counter) + ' spam files')
print("number of wrong ham classifications: " + str(wrong_ham_counter) + ' out of ' + str(ham_counter) + ' ham files')
print('')
spam_precision = (spam_counter - wrong_spam_counter) / (spam_counter - wrong_spam_counter + wrong_ham_counter)
print("precision for spam files: " + str(spam_precision))
ham_precision = (ham_counter - wrong_ham_counter) / (ham_counter - wrong_ham_counter + wrong_spam_counter)
print("precision for ham files: " + str(ham_precision))
spam_recall = (spam_counter - wrong_spam_counter) / spam_counter
print("recall for spam files: " + str(spam_recall))
ham_recall = (ham_counter - wrong_ham_counter) / ham_counter
print("recall for ham files: " + str(ham_recall))
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# 1st Activation Function: tanh
# 2nd Activation Function: softmax
# Maximum Likelihood Estimate Function: Cross Entropy Function
# Train Algorithm: Batch Gradient Ascent
# Bias terms are used.
# force the result of divisions to be float numbers
from __future__ import division
# import local python files
from read_mnist_data_from_files import *
from Utilities import *
import numpy as np
__author__ = 'c.kormaris'
###############
class NNParams:
num_input_nodes = 784 # D: number of nodes in the input layers (aka: no of features)
num_hidden_nodes = 100 # M: number of nodes in the hidden layer
num_output_nodes = 10 # K: number of nodes in the output layer (aka: no of categories)
# Gradient ascent parameters
eta = 0.1 # the learning rate for gradient ascent; it is modified according to the number of train data
reg_lambda = 0.01 # the regularization parameter
###############
# FUNCTIONS #
# Feed-Forward
def forward(X, W1, W2):
s1 = X.dot(W1.T) # s1: NxM
# activation function #1
#o1 = h1(s1) # o1: NxM
#grad = h1_output_to_derivative(o1) # the gradient of tanh function, grad: NxM
# activation function #2
o1 = np.tanh(s1) # o1: NxM
grad = tanh_output_to_derivative(o1) # the gradient of tanh function, grad: NxM
# activation function #3
#o1 = np.cos(s1) # o1: NxM
#grad = cos_output_to_derivative(o1) # the gradient of cos function, grad: NxM
o1 = concat_ones_vector(o1) # o1: NxM+1
s2 = o1.dot(W2.T) # s2: NxK
o2 = softmax(s2) # o2: NxK
return s1, o1, grad, s2, o2
# Helper function to evaluate the likelihood on the train dataset.
def likelihood(X, t, W1, W2):
#num_examples = len(X_train) # N: training set size
# Feed-Forward to calculate our predictions
_, _, _, s2, _ = forward(X, W1, W2)
A = s2
K = NNParams.num_output_nodes
# Calculating the mle using the logsumexp trick
maximum = np.max(A, axis=1)
mle = np.sum(np.multiply(t, A)) - np.sum(maximum, axis=0) \
- np.sum(np.log(np.sum(np.exp(A - np.repeat(maximum, K, axis=1)), axis=1)))
# ALTERNATIVE
#mle = np.sum(np.multiply(t, np.log(o2)))
mle *= 2 # for the gradient check to work
# Add regularization term to likelihood (optional)
mle -= NNParams.reg_lambda / 2 * (np.sum(np.square(W1)) + np.sum(np.square(W2)))
return mle
def test(X, W1, W2):
# Feed-Forward
_, _, _, _, o2 = forward(X, W1, W2)
return np.argmax(o2, axis=1)
# Train using Batch Gradient Ascent
# This function learns the parameter weights W1, W2 for the neural network and returns them.
# - iterations: Number of iterations through the training data for gradient ascent.
# - print_estimate: If True, print the estimate every 1000 iterations.
def train(X, t, W1, W2, iterations=500, tol=1e-6, print_estimate=False, X_val=None):
# Run Batch Gradient Ascent
lik_old = -np.inf
for i in range(iterations):
W1, W2, _, _ = grad_ascent(X, t, W1, W2)
# Optionally print the estimate.
# This is expensive because it uses the whole dataset.
if print_estimate:
lik = likelihood(X, t, W1, W2)
if X_val is None:
print("Iteration %i (out of %i), likelihood estimate: %f" % ((i+1), iterations, float(lik)))
else:
# Print the estimate along with the accuracy on every epoch
predicted = test(X_val, W1, W2)
err = np.not_equal(predicted, y_test_true)
totalerrors = np.sum(err)
acc = ((len(X_val) - totalerrors) / len(X_val)) * 100
print("Iteration %i (out of %i), likelihood estimate: %f, accuracy on the validation set: %.2f %%"
% ((i+1), iterations, float(lik), float(acc)))
if np.abs(lik - lik_old) < tol:
break
lik_old = lik
return W1, W2
# Update the Weight matrices using Gradient Ascent
def grad_ascent(X, t, W1, W2):
# W1: MxD+1 = num_hidden_nodes X_train num_of_features
# W2: KxM+1 = num_of_categories X_train num_hidden_nodes
# Feed-Forward
_, o1, grad, s2, o2 = forward(X, W1, W2)
# Back-Propagation
delta1 = t - o2 # delta1: 1xK
W2_reduce = W2[np.ix_(np.arange(W2.shape[0]), np.arange(1, W2.shape[1]))] # skip the first column of W2: KxM
delta2 = np.dot(delta1, W2_reduce) # delta2: 1xM
delta3 = np.multiply(delta2, grad) # element-wise multiplication, delta3: 1xM
dW1 = np.dot(delta3.T, X) # MxD+1
dW2 = np.dot(delta1.T, o1) # KxM+1
# Add regularization terms
dW1 = dW1 - NNParams.reg_lambda * W1
dW2 = dW2 - NNParams.reg_lambda * W2
# Update gradient ascent parameters
W1 = W1 + NNParams.eta * dW1
W2 = W2 + NNParams.eta * dW2
return W1, W2, dW1, dW2
def gradient_check(X, t, W1, W2):
_, _, gradEw1, gradEw2 = grad_ascent(X, t, W1, W2)
epsilon = 1e-6
# gradient_check for parameter W1
numgradEw1 = np.zeros(W1.shape)
for i in range(W1.shape[0]):
for j in range(W1.shape[1]):
W1tmp = W1
W1tmp[i, j] = W1[i, j] + epsilon
Ewplus = likelihood(X, t, W1tmp, W2)
W1tmp = W1
W1tmp[i, j] = W1[i, j] - epsilon
Ewminus = likelihood(X, t, W1tmp, W2)
numgradEw1[i, j] = (Ewplus - Ewminus) / (2 * epsilon)
diff1 = np.sum(np.abs(gradEw1 - numgradEw1)) / np.sum(np.abs(gradEw1))
print('The maximum absolute norm for parameter W1, in the gradient_check is: ' + str(diff1))
# gradient_check for parameter W2
numgradEw2 = np.zeros(W2.shape)
for i in range(W2.shape[0]):
for j in range(W2.shape[1]):
W2tmp = W2
W2tmp[i, j] = W2[i, j] + epsilon
Ewplus = likelihood(X_train, t_train, W1, W2tmp)
W2tmp = W2
W2tmp[i, j] = W2[i, j] - epsilon
Ewminus = likelihood(X_train, t_train, W1, W2tmp)
numgradEw2[i, j] = (Ewplus - Ewminus) / (2 * epsilon)
diff2 = np.sum(np.abs(gradEw2 - numgradEw2)) / np.sum(np.abs(gradEw2))
print('The maximum absolute norm for parameter W2, in the gradient_check is: ' + str(diff2))
###############
# MAIN #
mnist_dir = "./mnisttxt/"
X_train, t_train = get_mnist_data(mnist_dir, 'train', one_hot=True)
# y_train: the true categories vector for the train data
y_train = np.argmax(t_train, axis=1)
y_train = np.matrix(y_train).T
print('')
X_test, t_test_true = get_mnist_data(mnist_dir, "test", one_hot=True)
# y_test_true: the true categories vector for the test data
y_test_true = np.argmax(t_test_true, axis=1)
y_test_true = np.matrix(y_test_true).T
print('')
# normalize the data using range normalization
X_train = X_train / 255
X_test = X_test / 255
# concat ones vector
X_train = concat_ones_vector(X_train)
X_test = concat_ones_vector(X_test)
# Initialize the parameters to random values. We need to learn these.
np.random.seed(0)
W1 = np.random.randn(NNParams.num_hidden_nodes, NNParams.num_input_nodes) / \
np.sqrt(NNParams.num_input_nodes) # W1: MxD
W2 = np.random.randn(NNParams.num_output_nodes, NNParams.num_hidden_nodes) / \
np.sqrt(NNParams.num_hidden_nodes) # W2: KxM
# concat ones vector
W1 = concat_ones_vector(W1) # W1: MxD+1
W2 = concat_ones_vector(W2) # W2: KxM+1
# Do a gradient check first
# SKIP THIS PART FOR FASTER EXECUTION
'''
print('Running gradient check...')
ch = np.random.permutation(X_train.shape[0])
ch = ch[0:20] # get the 20 first data
gradient_check(X_train[ch, :], t_train[ch, :], W1, W2)
'''
print('')
# define the learning rate based on the number of train data
NNParams.eta = 0.5 / len(X_train)
print('learning rate: ' + str(NNParams.eta))
print('')
# train the Neural Network Model
W1, W2 = train(X_train, t_train, W1, W2, iterations=500, tol=1e-6, print_estimate=True, X_val=X_test)
# print the learned weights
'''
print('W1: ' + str(W1))
print('W2: ' + str(W2))
'''
# test the Neural Network Model
predicted = test(X_test, W1, W2)
# check predictions
wrong_counter = 0 # the number of wrong classifications made by the Neural Network
print('')
print('checking predictions...')
for i in range(len(predicted)):
if predicted[i] == y_test_true[i]:
print("data " + str(i) + ' classified as: ' + str(int(predicted[i])) + ' -> correct')
elif predicted[i] != y_test_true[i]:
print("data " + str(i) + ' classified as: ' + str(int(predicted[i])) + ' -> WRONG!')
wrong_counter = wrong_counter + 1
print('')
# Accuracy
accuracy = ((len(X_test) - wrong_counter) / len(X_test)) * 100
print("accuracy: " + str(accuracy) + " %")
print("number of wrong classifications: " + str(wrong_counter) + ' out of ' + str(len(X_test)) + ' images!')
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# 1. starting page of each topic: URL
# 2. fetch the URL list of each thread, download the thread page, parse, if more pages in thread, get more, parse
# 3. traverse the pages by changing URL, ?page=1
# read the first page
# parse, and get the thread list
# if the thread list is empty, terminate.
# else
# for loop
# featch one thread page
# parse, get the info
# if more page? then fetch that page, parse, get the info
#
#import Wrapper.thread_url_extractor
from bs4 import BeautifulSoup
import json, os, time, urllib2, StringIO, gzip
class Clawler:
def __init__(self, html_dir, header, logger):
self.html_dir = html_dir
#self.json_dir = json_dir
self.http_req_header = header
self.page = 0
self.logger = logger
# DONE
def get_next_page_url(self):
self.page += 1
return "%s?page=%d" % (self.starting_url, self.page)
# DONE
# simple wrapping on
#
def get_next_comment_page_url(self, html_str):
soup = BeautifulSoup(html_str)
next_page_msg= soup.find('a', attrs={'class': "msg_next_page"})
if next_page_msg:
return next_page_msg.get('href')
def get_previous_comment_page_url(self, html_str):
soup = BeautifulSoup(html_str)
previous_page_msg= soup.find('a', attrs={'class': "msg_previous_page"})
if previous_page_msg:
return previous_page_msg.get('href')
# DONE.
def curl_str(self, url):
#time.sleep(1)
if url[:4] != "http":
url = "http://www.medhelp.org/" + url
request = urllib2.Request(url, headers=self.http_req_header)
try:
opener = urllib2.urlopen(request)
contents = opener.read()
except:
self.logger.warning("Failed when accessing %s" % (url))
return None
self.logger.info("Fetch %d bytes from %s" % (len(contents), url))
data = StringIO.StringIO(contents)
gzipper = gzip.GzipFile(fileobj=data)
html_str = gzipper.read()
return html_str
# DONE.
# save the thread page to html file, return the next comment page if it has one.
def fetch_thread_page(self, thread_url, page_num):
thread_id = (thread_url.split('/')[-1]).split('?')[0]# + "-" + thread_url.split('/')[-3]
file_name = "wx4ed-thread-%s-p%d.html" % (thread_id, page_num)
file_path = os.path.join(self.html_dir,file_name)
if thread_url.find('?page=') < 0:
thread_url = thread_url + "?page=%d" % page_num
html_str = ""
if os.path.exists(file_path) and os.path.getsize(file_path)>0:
#read from file system
html_str = open(file_path).read()
self.logger.info('read %s from file' % (thread_id))
else:
html_str = self.curl_str(thread_url)
while not html_str:
time.sleep(1)
html_str = self.curl_str(thread_url)
local_file = open(file_path, "w")
local_file.write(html_str)
local_file.close()
return self.get_next_comment_page_url(html_str)
# DONE
# simple wrapping on the thread list page
def extract_thread_url_list(self, url):
html_str = self.curl_str(url)
soup = BeautifulSoup(html_str)
urls = []
for thread_summary in soup.find_all('div', attrs={'class': 'subject_summary'}):
url = thread_summary.find('a').get('href')
urls.append(url)
return urls
def run(self, starting_url):
self.starting_url = starting_url
self.page = 0
while True:
url = self.get_next_page_url()
thread_url_list = self.extract_thread_url_list(url)
if len(thread_url_list) == 0:
break
for thread_url in thread_url_list:
page_num = 1
next_page_url = self.fetch_thread_page(thread_url, page_num)
while next_page_url:
page_num += 1
next_page_url = self.fetch_thread_page(next_page_url, page_num)
def test_multi_page_thread(self, thread_url):
page_num = 1
next_page_url = self.fetch_thread_page(thread_url, page_num)
while next_page_url:
page_num += 1
next_page_url = self.fetch_thread_page(next_page_url, page_num)
def get_http_header():
headers_har = [
{
"name": "Accept-Encoding",
"value": "gzip,deflate"
},
{
"name": "Host",
"value": "www.medhelp.org"
},
{
"name": "Accept-Language",
"value": "en-US,en;q=0.8,zh-CN;q=0.6,zh-TW;q=0.4"
},
{
"name": "User-Agent",
"value": "Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/36.0.1985.143 Safari/537.36"
},
{
"name": "Accept",
"value": "text/javascript, text/html, application/xml, text/xml, */*"
},
{
"name": "Connection",
"value": "keep-alive"
}
]
headers_custom = dict()
for item in headers_har:
key = item['name']
value = item['value']
headers_custom[key] = value
return headers_custom
def test():
headers_custom = get_http_header()
html_dir = "./test-download"
#json_dir =
starting_url = "http://www.medhelp.org/forums/Depression/show/57"
if not os.path.exists(html_dir):
os.makedirs(html_dir)
c = Clawler(html_dir, headers_custom, get_logger("crawler.log"))
#c.run(starting_url)
c.test_multi_page_thread("http://www.medhelp.org/posts/Depression/How-long-is-Effexor-withdrawal-supposed-to-last/show/269787?page=1")
def get_logger(file_name):
import logging
logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)
# create a file handler
handler = logging.FileHandler(file_name)
handler.setLevel(logging.INFO)
# create a logging format
formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
handler.setFormatter(formatter)
# add the handlers to the logger
logger.addHandler(handler)
return logger
def main():
WORK_DIR = "./"
HTML_FOLDER = "data/html/MedHelp/"
JSON_FOLDER = "data/json/MedHelp/"
starting_urls = {'Depression': 'http://www.medhelp.org/forums/Depression/show/57', # 610 pages * 20 = 12200 threads
'Depression-Support-For-Families-': 'http://www.medhelp.org/forums/Depression-Support-For-Families-/show/1259', # 5 pages * 20 = 100 threads
'Eye-Care': 'http://www.medhelp.org/forums/Eye-Care/show/43', #1360 pages * 20 = 27200 threads
}
os.chdir(WORK_DIR)
headers_custom = get_http_header()
logger = get_logger("crawler.log")
for (topic, starting_url) in starting_urls.items():
html_folder = os.path.join(HTML_FOLDER, topic)
#json_folder = os.path.join(JSON_FOLDER, topic)
if not os.path.exists(html_folder):
os.makedirs(html_folder)
c = Clawler(html_folder, headers_custom, logger)
c.run(starting_url)
if __name__ == "__main__":
#test()
main()
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## 1. String Manipulation ##
hello = "hello world"[0:5]
foo = "some string"
password = "password"
print(foo[5:11])
# Your code goes here
fifth = password[4]
last_four = password[len(password)-4:]
## 2. Omitting starting or ending indices ##
hello = "hello world"[:5]
foo = "some string"
print(foo[5:])
my_string = "string slicing is fun!"
# Your code goes here
first_nine = my_string[:9]
remainder = my_string[9:]
## 3. Slicing with a step ##
hlo = "hello world"[:5:2]
my_string = "string slicing is fun!"
# Your code goes here
gibberish = my_string[0:len(my_string):2]
worse_gibberish = my_string[7::3]
## 4. Negative Indexing ##
olleh = "hello world"[4::-1]
able_string = "able was I ere I saw elba"
# Your code goes here
def is_palindrome(my_string):
return my_string == my_string[::-1]
phrase_palindrome = is_palindrome(able_string)
## 6. Checking for Substrings ##
theres_no = "I" in "team"
# Your code goes here
def easy_patterns(string):
count = 0
for password in passwords:
if string in password:
count +=1
return count
countup_passwords = easy_patterns('1234')
## 7. First-Class Functions ##
ints = list(map(int, [1.5, 2.4, 199.7, 56.0]))
print(ints)
# Your code goes here
floats = list(map(float,not_floats))
## 8. Average Password Length ##
# Your code goes here
password_lengths = list(map(len, passwords))
avg_password_length = sum(password_lengths) / len(passwords)
## 9. More Uses For First-Class Functions ##
def is_palindrome(my_string):
return my_string == my_string[::-1]
# Your code goes here
palindrome_passwords = list(filter(is_palindrome, passwords))
## 10. Lambda Functions ##
numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
evens = list(filter(lambda x : x % 2 == 0, numbers))
print(evens)
# Your code goes here
palindrome_passwords = list(filter(lambda my_string : my_string[::-1] == my_string, passwords))
## 11. Password Strengths ##
numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
evens = list(filter(lambda x : x % 2 == 0, numbers))
print(evens)
# Your code goes here
weak_passwords = list(filter(lambda x : len(x) < 6, passwords))
medium_passwords = list(filter(lambda x : len(x) >= 6 and len(x) <= 10, passwords))
strong_passwords = list(filter(lambda x : len(x) > 10, passwords)) | {
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#1st step in updateing user collection. this script grabs distinct user id's from auctiondata collection
#and get basic character information for the user collection. after this scrip runs, userguild.py needs to run
import pymongo
from pymongo import MongoClient
from wowlib import wowapi, class_define
import time
#connection informattion
client = MongoClient("mongodb://76.31.221.129:27017/")
wowdb = client.wow
seconddb = client.wow
auctiondb = seconddb.auctiondata
userdb = wowdb.users
timestamp = time.time()
#aggregates user name and server name return is {_id:{username:"",server:""}}
usersdata = auctiondb.aggregate([{'$group':
{"_id":{'username': '$owner',
'server' : '$ownerRealm'}}}])
def char_name(userdoc):
c_name = str(users['name'])
c_server = str(users['realm'])
character_name = str(c_name + " - " + c_server)
return character_name
#create more usable dictionary
error_count = 0
for users in usersdata:
print ("error Count :" + str(error_count))
# character names only only unique per server, so server name was appended in order for this to act as a key
c_name = str(users['_id']['username'])
c_server = str(users['_id']['server'])
character_name = str(c_name + " - " + c_server)
#this is in try block due to ascii errors
#/todo/incorporate item_update_classes_pipeline model
try:
existingplayer = userdb.find({'name':c_name, 'realm': c_server})
if existingplayer is not None:
userdb.update({'user': character_name},
{'$set':{'lastseen': timestamp,
}})
print("updated existing record")
else:
print ('adding new player')
new_player = wowapi.char_query(c_name, c_server)
new_player['className'] = class_define.defineclass(new_player)
userdb.insert_one(new_player)
print("player added")
except Exception as e:
error_count += 1
print("Error")
print(e)
pass
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# 1st string inputs is called "debris", while 2nd string "product". Returns the 2nd input string as the output if all of its characters can be found in the 1st input string and "Give me something that's not useless next time." if it's impossible.
# Letters that are present in the 1st input string may be used as many times as necessary to create the 2nd string.
# 第1个传数是名为debris的字符串，而第2个传参是名为product的字符串。如果第2个传参中的所有字母都可以在第1个传参中找到，那么返回第2个传参；否则，就返回Give me something that's not useless next time。
# 第1个传参中的字母可以使用任意多次。
def fix_machine_1(debris, product):
### WRITE YOUR CODE HERE ###
length = len(product)
#print length
for each_character in product:
#print each_character
start_index = debris.find(each_character)
#print found
length = length - 1
if start_index == -1:
#if length > 0:
result = "Give me something that's not useless next time."
print result
break
if length == 0 and start_index > -1:
#else:
result = product
print result
return result
# Letters that are present in the 1st input string may be used ONLY ONCE to create the 2nd string.
# 第1个传参中的字母只可以使用一次。
def fix_machine_2(debris, product):
### WRITE YOUR CODE HERE ###
debris_updated = debris
length = len(product)
#print length
for each_character in product:
#print each_character
start_index = debris_updated.find(each_character)
debris_updated = debris_updated[ : start_index] + debris_updated[ start_index + 1 : ]
#print found
length = length - 1
if start_index == -1:
#if length > 0:
result = "Give me something that's not useless next time."
print result
break
if length == 0 and start_index > -1:
#else:
result = product
print result
return result
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## 1. Take a number of with four digits (N)
## 2. Sort digits small to big (ASC)
## 3. Sort digits big to small (DESC)
## 4. Result - DESC - ASC
## 5. If Result = N exit and record number of iterations
def sortAsc(n):
""" Sort the input number by characters from small to big"""
a = str(n)
b = sorted(a)
## print(b)
return int(''.join(b))
def sortDesc(n):
""" Sort the input number by characters from big to small"""
a = str(n)
b =sorted(a,reverse=True)
## print (b)
return int(''.join(b))
##print(sortAsc(3471))
##print(sortDesc(3471))
maxval = 0
##use this script to find the numbers in the specified range
thehist = [0,0,0,0,0,0,0,0,0,0]
ini = 1000
fin = 9999
for m in range(ini,fin):
k = 0
nstart = m
nend = 0
pausenow = 0
while pausenow == 0:
k = k +1
nasc = sortAsc(nstart)
ndesc = sortDesc(nstart)
nend = ndesc - nasc
if nstart == nend:
pausenow = 1
else:
nstart = nend
if k >= maxval:
maxval = k
thehist[k] = thehist[k] +1
print(ini,fin,thehist)
####====================================================================
####use this script to bin the data in chunks of 1000 numbers
##
##for no in range(1,10):
## ini = no*1000
## fin = no*1000 + 999
##
## thehist = [0,0,0,0,0,0,0,0,0,0]
##
## for m in range(ini,fin):
## k = 0
## nstart = m
## nend = 0
## pausenow = 0
##
## while pausenow == 0:
## k = k +1
## nasc = sortAsc(nstart)
## ndesc = sortDesc(nstart)
## nend = ndesc - nasc
## ## print (ndesc,nasc,nend)
##
## if nstart == nend:
## pausenow = 1
## else:
## nstart = nend
## if k >= maxval:
## maxval = k
## thehist[k] = thehist[k] +1
##
#### print("m: ", m, "k: ",k)
##
## ##print(maxval)
## print(ini,fin,thehist)
##
##
##
##
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# 1. TENSORS
# 1.1 WARM-UP: NUMPY
import numpy as np
# N is batch size; D_in is input dim
# H is hidden dim; D_out is output dim
N, D_in, H, D_out = 64, 1000, 100, 10
# Create random input and output data
x = np.random.randn(N, D_in)
y = np.random.randn(N, D_out)
# Randomly initialize weights
w1 = np.random.randn(D_in, H)
w2 = np.random.randn(H, D_out)
learning_rate = 1e-6
for t in range(500):
# Forward pass: compute predicted y
h = x.dot(w1)
h_relu = np.maximum(h, 0)
y_pred = h_relu.dot(w2)
# Compute and print loss
loss = np.square(y_pred - y).sum()
print(y, loss)
# Backprop to compute gradients of w1 and w2 wrt loss
grad_y_pred = 2.0 * (y_pred - y)
grad_w2 = h_relu.T.dot(grad_y_pred)
grad_h_relu = grad_y_pred.dot(w2.T)
grad_h = grad_h_relu.copy()
grad_h[h < 0] = 0
grad_w1 = x.T.dot(grad_h)
# Update weights
w1 -= learning_rate * grad_w1
w2 -= learning_rate * grad_w2
# 1.2 PYTORCH: TENSORS
# To run a PyTorch Tensor on GPU, you simply need to cast it to a new datatype.
import torch
dtype = torch.FloatTensor
# dtype = torch.cuda.FloatTensor # uncomment to run on GPU
N, D_in, H, D_out = 64, 1000, 100, 10
# Create random input and output data
x = torch.randn(N, D_in).type(dtype)
y = torch.randn(N, D_out).type(dtype)
# Randomly initialize weights
w1 = torch.randn(D_in, H).type(dtype)
w2 = torch.randn(H, D_out).type(dtype)
learning_rate = 1e-6
for t in range(500):
# Forward pass: compute predicted y
h = x.mm(w1)
h_relu = h.clamp(min=0)
y_pred = h_relu.mm(w2)
# Compute and print loss
loss = (y_pred - y).pow(2).sum()
print(t, loss)
# Backprop to compute gradients of w1 & w2 wrt loss
grad_y_pred = 2.0 * (y_pred - y)
grad_w2 = h_relu.t().mm(grad_y_pred)
grad_h_relu = grad_y_pred.mm(w2.t())
grad_h = grad_h_relu.clone()
grad_h[h < 0] = 0
grad_w1 = x.t().mm(grad_h)
# Update weights using gradient descent
w1 -= learning_rate * grad_w1
w2 -= learning_rate * grad_w2
# 2. AUTOGRAD
# 2.1 PYTORCH: VARIABLES AND AUTOGRAD
# Using PyTorch Variables and Autograd to implement a two-layer network; Now we
# no longer need to manually implement the backward pass through the network:
import torch
from torch.autograd import Variable
dtype = torch.FloatTensor
# dtype = torch.cuda.FloatTensor # uncomment to run on GPU
# N is batch size; D_in is input dim; H hidden dim; D_out output dim
N, D_in, H, D_out = 64, 1000, 100, 10
# Create random Tensors to hold input & outputs, and wrap them in Variables.
# Setting requires_grad=False indicates that we don't need to compute gradients
# wrt these Variables during the backward pass.
x = Variable(torch.randn(N, D_in).type(dtype), requires_grad=False)
y = Variable(troch.randn(N, D_out).type(dtype), requires_grad=False)
# Create random Tensors for weights, and wrap them in Variables.
w1 = Variable(torch.randn(D_in, H).type(dtype), requires_grad=True)
w2 = Variable(torch.randn(H, D_out).type(dtype), requires_grad=True)
learning_rate = 1e-6
for t in range(500):
# Forward pass: compute predicted y using operations on Variables: these
# are exactly the same operations we used to compute the forward pass using
# Tensors, but we don't need to keep references to intermediate values
# since we're not implementing the backward pass by hand.
y_pred = x.mm(w1).clamp(min=0).mm(w2)
# Compute and print loss using operations on Variables.
# Now loss is a Variable of shape (1,) and loss.data is a Tensor of shape
# (1,); loss.data[0] is a scalar vaue holding the loss.
loss = (y_pred - y).pow(2).sum()
print(t, loss.data[0])
# Use Autograd to compute the backward pass. This call will compute the
# gradient of loss wrt all Variables with requires_grad=True.
# After this call w1.grad & w2.grad will be Variables holding the gradient
# of the loss wrt w1 & w2 respectively.
loss.backward()
# Update weights using gradient descent; w1.data & w2.data are Tensors,
# w1.grad & w2.grad are Variables, and w1.grad.data & w2.grad.data
# are Tensors.
w1.data -= learning_rate * w1.grad.data
w2.data -= learning_rate * w2.grad.data
# Manually zero the gradients after updating weights
w1.grad.data.zero_()
w2.grad.data.zero_()
# 2.2 PYTORCH: DEFINING NEW AUTOGRAD FUNCTIONS
# Defining a custom Autograd function for performing ReLU, and using it to
# implement our 2-layer network:
import torch
from torch.autograd import Variable
class MyReLU(torch.autograd.Function):
"""
We can implement our own custom Autograd Functions by subclassing
torch.autograd.Function and implementing the forward and backward
passes which operate on Tensors.
"""
def forward(self, input):
"""
In the forward pass we receive a Tensor containing the input and return
a Tensor containing the output. You can cache arbitrary Tensors for use
in the backward pass using the save_for_backward method.
"""
self.save_for_backward(input)
return input.clamp(min=0)
def backward(self, grad_output):
"""
In the backward pass we receive a Tensor containing the gradient of the
loss wrt the output, and we need to compute the gradient of the loss
wrt the input.
"""
input, = self.saved_tensors
grad_input = grad_output.clone()
grad_input[input < 0] = 0
return grad_input
dtype = torch.FloatTensor
# dtype = torch.cuda.FloatTensor # Uncomment this to run on GPU
# batch size, in dim, hidden dim, out dim
N, D_in, H, D_out = 64, 1000, 100, 10
# Create random Tensors to hold input & outputs, wrap them in Variables
x = Variable(torch.randn(N, D_in).type(dtype), requires_grad=False)
y = Variable(torch.randn(N, D_out).type(dtype), requires_grad=False)
# Create random Tensors for weights, and wrap them in Variables
w1 = Variable(torch.randn(D_in, H).type(dtype), requires_grad=True)
w2 = Variable(torch.randn(H, D_out).type(dtype), requires_grad=True)
learning_rate = 1e-6
for t in range(500):
# Construct an instance of our MyReLU class to use in our network
relu = MyReLU()
# Forward pass: compute predicted y using oeprations on Variables; we
# compute ReLU using ur custom autograd operation
y_pred = relu(x.mm(w1)).mm(w2)
# Compute and print loss
loss = (y_pred - y).pow(2).sum()
print(y, loss.data[0])
# Use Autograd to compute the backward pass
loss.backward()
# Update weights using gradient descent
w1.data -= learning_rate * w1.grad.data
w2.data -= learning_rate * w2.grad.data
# Manually zero the gradients after updating the weights
w1.grad.data.zero_()
w2.grad.data.zero_()
# 2.3 TENSORFLOW: STATIC GRAPHS
# USING TENSORFLOW INSTEAD OF PYTORCH TO FIT A SIMPLE 2-LAYER NET:
# (STATIC VS DYNAMIC COMPUTATION GRAPHS)
import tensorflow as tf
import numpy as np
# First we set up the computational graph:
# batch size, in dim, hidden dim, out dim
N, D_in, H, D_out = 64, 1000, 100, 10
# Create placeholders for the input and target data; these will be filled
# with real data when we execute the graph.
x = tf.placeholder(tf.float32, shape=(None, D_in))
y = tf.placeholder(tf.float32, shape=(None, D_out))
# Create Variables for the weights and initialize them with random data.
# A TensorFlow Variable persists its value across executions of the graph.
w1 = tf.Variable(tf.random_normal((D_in, H)))
w2 = tf.Variable(tf.random_normal((H, D_out)))
# Forward pass: Compute the predicted y using operations on TensorFlow Tensors.
# NOTE that this code doesn't actually perform any numeric operations; it
# merely sets up the computational graph that we'll later execute.
h = tf.matmul(x, w1)
h_relu = tf.maximum(h,, tf.zeros(1))
y_pred = tf.matmul(h_relu, w2)
# Compute loss using operations on TensorFlow Tensors
loss = tf.reduce_sum((y - y_pred) ** 2.0)
# Compute gradient of the loss wrt w1 & w2
grad_w1, grad_w2 = tf.gradients(loss, [w1, w2])
# Update the weights using gradient descent. To actually update the weights
# we need to evaluate new_w1 and new_w2 when executing the graph. NOTE that
# in TensorFlow the act of updating the value of the weights is part of the
# copmutational graph; inPyTorch this happens outside the computational graph.
learning_rate = 1e-6
new_w1 = w1.assign(w1 - learning_rate * grad_w1)
new_w2 = w2.assign(w2 - learning_rate * grad_w2)
# Now we've built our comptuational graph, so we enter a TensorFlow session
# to actually execute the graph.
with tf.Session() as sess:
# Run the graph once to initialize the Variables w1 and w2.
sess.run(tf.global_variables_initializer())
# Create NumPy arrays holding the actual data for inputs x and targets y
x_value = np.random.randn(N, D_in)
y_value = np.random.randn(N, D_out)
for _ in range(500):
# Execute the graph many times. Each time it executes we want to bind
# x_value to x and y_value to y, specified with the feed_dict argument.
# Each time we execute the graph we want to compute the values for
# loss, new_w1, and new_w2; the values of these Tensors are returned as
# NumPy arrays.
loss_value, _, _ = sess.run([loss, new_w1, new_w2],
feed_dict={x: x_value, y: y_value})
print(loss_value)
# 3. NN MODULE
# 3.1 PYTORCH: NN
# The nn package defines a set of Modules which are roughly equivalent to
# network layers. We use nn package to implement our 2-layer network:
import torch
from torch.autograd import Variable
# batch size, in dim, hidden dim, out dim
N, D_in, H, D_out = 64, 1000, 100, 10
# Create random Tensors to hold inputs and outputs, and wrap them in Variables
x = Variable(torch.randn(N, D_in))
y = Variable(torch.randn(N, D_out), requires_grad=False)
# Use the nn package to define our model as a sequence of layers. nn.Sequential
# is a Module which contains other Modules, and applies them in sequence to
# produce its output. Each Linear Module computes output from input using a
# linear function, and holds internal Variables for its weight and bias.
model = torch.nn.Sequential(
torch.nn.Linear(D_in, H),
torch.nn.ReLU(),
torch.nn.Linear(H, D_out),
)
# The nn package also contains definitions of popular loss functions; in this
# case we'll use Mean Squared Error (MSE) as our loss function.
loss_fn = torch.nn.MSELoss(size_average=False)
learning_rate = 1e-4
for t in range(500):
# Forward pass: compute predicted y by passing x to the model. Module
# objects override the __call__ operator so you can call them like
# functions. When doing so you pass a Variable of input data to the Modeul
# and it produces a Variable of output data.
y_pred = model(x)
# Compute and print loss. We pass Variables containing the predicted and
# true values of y, and the loss function returns a Variable containing
# the loss.
loss = loss_fn(y_pred, y)
print(t, loss.data[0])
# Zero the gradients before running the backward pass.
model.zero_grad()
# Backward pass: compute gradient of the loss wrt all the learnable
# parameters of the model. Internally, the parameters of each Module are
# stored in Variables with requires_grad=True, so this call will compute
# gradients for all learnable parameters in the model.
loss.backward()
# Update the weights using gradient descent. Each parameter is a Variable,
# so we can access its data and gradients like we did before.
for param in model.parameters():
param.data -= learning_rate * param.grad.data
# 3.2 PYTORCH: OPTIM
# Optimizing the model using the Adam algorithm in the optim package
import torch
from torch.autograd import Variable
# bs in hid out
N, D_in, H, D_out = 64, 1000, 100, 10
# Create random Tensors to hold inputs and outputs and wrap them in Variables
x = Variable(torch.randn(N, D_in))
y = Variable(torch.randn(N, D_out), requires_grad=False)
# Use the nn package to define our model and loss function
model = torch.nn.Sequential(
torch.nn.Linear(D_in, H),
torch.nn.ReLU(),
torch.nn.Linear(H, D_out),
)
loss_fn = torch.nn.MSELoss(size_average=False)
# Use the optim package to define an Optimizer that'll update the weights of
# the model for us. Here we'll use Adam; the optim package contains many other
# optimization algorithms. The first argument to the Adam constructor tells the
# optimizer which Variables it should update.
learning_rate = 1e-4
optimizer = torch.optim.Adam(model.parameters(), lr=learning_rate)
for t in range(500):
# Forward pass: compute predicted y by passing x to the model.
y_pred = model(x)
# Compute and print loss.
loss = loss_fn(y_pred, y)
print(t, loss.data[0])
# Before the backward pass, use the optimizer object to zero all of the
# gradients for the variables it'll update (which are the learnable weights
# of the model)
optimizer.zero_grad()
# Backward pass: copmute gradient of the loss wrt model parameters
loss.backward()
# Calling the step function on an Optimizer makes an update to its pars
optimizer.step()
# 3.3 PYTORCH: CUSTOM N MODULES
# Implementing 2-Layer Network as Custom Module subclass
import torch
from torch.autograd import Variable
class TwoLayerNet(torch.nn.Module):
def __init__(self, D_in, H, D_out):
"""
In the constructor we instantiate two nn.Linear modules and assign them
as member variables.
"""
super(TwoLayerNet, self).__init__()
self.lienar1 = torch.nn.Linear(D_in, H)
self.linear2 = torch.nn.Linear(H, D_out)
def forward(self, x):
"""
In the forward function we accept a Variable of input data and we must
return a Variable of output data. We can use Modules defined in the
constructor as well as arbitrary operators on Variables.
"""
h_relu = self.linear1(x).clamp(min=0)
y_pred = self.linear2(h_relu)
return y_pred
# bs in hid out
N, D_in, H, D_out = 64, 1000, 100, 10
# Create random Tensors to hold inputs and outputs, and wrap them in Variables
x = Variable(torch.randn(N, D_in))
y = Variable(torch.randn(N, D_out), requires_grad=False)
# Construct our model by instantiating the class defined above
model = TwoLayerNet(D_in, H, D_out)
# Construct our loss function and an Optimizer. The call to model.parameters()
# in the SGD constructor will contain the learnable paramters of the two
# nn.Linear modules which are members of the model.
criterion = torch.nn.MSELoss(size_average=False)
optimizer = torch.optim.SGD(model.paramters(), lr=1e-4)
for t in range(500):
# Forward pass: Compute predicted y by passing x to the model
y_pred = model(x)
# Copmute and print loss
loss = criterion(y_pred, y)
print(t, loss.data[0])
# Zero gradients, perform a backward pass, and update the weights
optimizer.zero_grad()
loss.backward()
optimizer.step()
# 3.4: PYTORCH: CONTROL FLOW + WEIGHT SHARING ################################
import random
import torch
from torch.autograd import Variable
class DynamicNet(torch.nn.Module):
def __init__(self, D_in, H, D_out):
"""
In the constructor we construct three nn.Linear instances that we'll
use in the forward pass.
"""
super(DynamicNet, self).__init__()
self.input_linear = torch.nn.Linear(D_in, H)
self.moddile_linear = torch.nn.Linear(H, H)
self.output_linear = torch.nn.Linear(H, D_out)
def forward(self, x):
"""
For the forward pass of the model, we randomly choose either 0, 1, 2,
or 3 and reuse the middle_linear Module that many times to compute
hidden layer representations.
Since each forward pass builds a dynamic computation graph, we can use
normal Python control-flow operators like loops or conditional
statements when defining the forward pass of the model.
Here we also see that it's perfectly safe to reuse the same Module many
times when defining a computational graph. This is a big improvement
from Lua Torch, where each Module could be used only once.
"""
h_relu = self.input_linear(x).clamp(min=0)
for _ in range(random.randint(0, 3)):
h_relu = self.middle_linear(h_relu).clamp(min=0)
y_pred = self.output_linear(h_relu)
return y_pred
# bs in hid out
N, D_in, H, D_out = 64, 1000, 100, 10
# Create random Tensors to hold inputs and outputs, and wrap them in Variables
x = Variable(torch.randn(N, D_in))
y = Variable(torch.randn(N, D_out), requires_grad=False)
# Construct our model by instatitating the class defined above
model = DynamicNet(D_in, H, D_out)
# Construct our loss function and an Optimizer. Training this straing model
# with vanilla stochastic gradient descent is touch, so we use momentum.
criterion = torch.nn.MSELoss(size_average=False)
optimizer = torch.optim.SGD(model.parameters(), lr=1e-4, momenum=0.9)
for t in range(500):
# Forward pass: Compute predicted y by passing x to the model
y_pred = model(x)
# Compute and print loss
loss = criterion(y_pred, y)
print(t, loss.data[0])
# Zero gradients, perform a backward pass, and update the weights.
optimizer.zero_grad()
loss.backward()
optimizer.step()
#
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## 1. The Data Set ##
print(len(borrower_default_count_240))
print(borrower_default_count_240[0:10])
## 2. Built-In Functions ##
total = sum([11,6])
## 3. Overwriting a Built-In Function ##
sum = sum(borrower_default_count_240)
test = sum(principal_outstanding_240)
## 4. Scopes ##
def find_average(column):
length = len(column)
total = sum(column)
return total / length
total = sum(borrower_default_count_240)
average = find_average(principal_outstanding_240)
print(total)
## 5. Scope Isolation ##
def find_average(column):
length = len(column)
total = sum(column)
return total / length
def find_length(column):
length = len(column)
return length
length = len(borrower_default_count_240)
average = find_average(principal_outstanding_240)
principal_length = find_length(principal_outstanding_240)
## 6. Scope Inheritance ##
def find_average(column):
total = sum(column)
# In this function, we are going to pretend that we forgot to calculate the length
return total / length
length = 10
average = find_average(principal_outstanding_240)
## 7. Inheritance Limits ##
total = 10
def find_total(column):
total = total + sum(column)
return total
print(find_total(principal_outstanding_240))
## 9. Global Variables ##
def new_func():
global b
b = 20
new_func()
print(b) | {
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## 1. The Data Set ##
# Weather has been loaded in.
print(weather[0])
print(weather[-1])
## 3. Practice Populating a Dictionary ##
superhero_ranks = {}
superhero_ranks['Aquaman'] = 1
superhero_ranks['Superman'] = 2
## 4. Practice Indexing a Dictionary ##
president_ranks = {}
president_ranks["FDR"] = 1
president_ranks["Lincoln"] = 2
president_ranks["Aquaman"] = 3
fdr_rank = president_ranks["FDR"]
lincoln_rank = president_ranks["Lincoln"]
aquaman_rank = president_ranks["Aquaman"]
## 5. Defining a Dictionary with Values ##
random_values = {"key1": 10, "key2": "indubitably", "key3": "dataquest", 3: 5.6}
print(random_values)
animals = {7: "raven",8:"goose",9:"duck"}
times = {"morning":9,"afternoon":14,"evening":19,"night":23}
## 6. Modifying Dictionary Values ##
students = {
"Tom": 60,
"Jim": 70
}
students['Ann'] = 85
students['Tom'] = 80
students['Jim'] += 5
## 7. The In Statement and Dictionaries ##
planet_numbers = {"mercury": 1, "venus": 2, "earth": 3, "mars": 4}
jupiter_found = 'jupiter' in planet_numbers
earth_found= 'earth' in planet_numbers
## 9. Practicing with the Else Statement ##
planet_names = ["Mercury", "Venus", "Earth", "Mars", "Jupiter", "Saturn", "Neptune", "Uranus"]
short_names = []
long_names = []
for item in planet_names:
if len(item) > 5:
long_names.append(item)
else:
short_names.append(item)
## 10. Counting with Dictionaries ##
pantry = ["apple", "orange", "grape", "apple", "orange", "apple", "tomato", "potato", "grape"]
pantry_counts = {}
for item in pantry:
if item in pantry_counts:
pantry_counts[item] += 1
else:
pantry_counts[item] = 1
## 11. Counting the Weather ##
weather_counts = {}
for item in weather:
if item in weather_counts:
weather_counts[item] +=1
else:
weather_counts[item] = 1 | {
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# 1)Thelo na anoikso ena .txt arxeio
# 2)Thelo na do ti exei
# 3)Thelo na grapso kati
# 4)Thelo na ksanakano print to arxeio na do ti egrapsa
# 5)Thelo na kleiso to arxeio
## Kano ena random noumero gia na graftei sto arxeio....isa isa gia tin dokimi
import random
randoms_word = random.randint(1,10)
# Dimiourgo tin wr() function...isa isa gia na einai organized
def wr(randoms_word):
# 1) Edo anoigo to arxeio mou to test.txt pou einai ston idio fakelo
f=open('test.txt', 'r+')
# 2.a) Edo diavazo to arxeio na do ti exei
word = f.read()
# 2.b) Edo kano print na do ti exei
print word
# 3) Edo dokimazo na grapso sto arxeio to random noumero pou ekana
new_word = f.write(str(randoms_word))
# 4) Edo ksekinaei to provlima
# An anoikso to arxeio me 'r+' den me afinei na grapso
# An anoikso to arxeio me 'w' den me afinei na to diavaso
# Ti prepei na kano gia na diavaso auto pou egrapsa?
# Prepei na kleiso to arxeio kai na to ksananoikso gia diavasma?
word2 = f.read()
print word2
# 5) Edo kleino to arxeio
f.close()
wr(randoms_word)
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## 1. The Time Module ##
import time
current_time = time.time()
print(current_time)
## 2. Converting Timestamps ##
import time
current_time = time.time()
current_struct_time = time.gmtime()
current_hour = current_struct_time.tm_hour
print(current_hour)
## 3. UTC ##
import datetime
current_datetime = datetime.datetime.now()
current_year = current_datetime.year
current_month = current_datetime.month
## 4. Timedelta ##
import datetime
today = datetime.datetime.now()
diff = datetime.timedelta(days = 1)
tomorrow = today + diff
yesterday = today - diff
## 5. Formatting Dates ##
import datetime
mystery_date_formatted_string = mystery_date.strftime("%I:%M%p on %A %B %d, %Y")
print(mystery_date_formatted_string)
## 6. Parsing Dates ##
import datetime
mystery_date = datetime.datetime.strptime(mystery_date_formatted_string, "%I:%M%p on %A %B %d, %Y")
print(mystery_date)
## 8. Reformatting Our Data ##
import datetime
for item in posts:
item[2] = datetime.datetime.fromtimestamp(float(item[2]))
## 9. Counting Posts from March ##
import datetime
march_count = 0
for item in posts:
if item[2].month == 3:
march_count +=1
## 10. Counting Posts from Any Month ##
def no_posts(month_value):
march_count = 0
for row in posts:
if row[2].month == month_value:
march_count += 1
return(march_count)
feb_count = no_posts(2)
aug_count = no_posts(8)
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1. import pandas as pd
2. from sklearn.base import TransformerMixin
3.
4.
5. class FeatureExtractor(TransformerMixin):
6. main_cols = ['country', 'gender', 'ageMin', 'ageMax', 'year']
7. inci_cols = [
8. # Other cancers mortality rate
9. 'g_mNasopharynx (C11)', 'g_mBreast (C50)', 'g_mMesothelioma (C45)',
10. 'g_mCorpus uteri (C54)', 'g_mLip, oral cavity, pharynx, larynx and oesophagus (C00-15,C32)',
11. 'g_mMelanoma of skin (C43)', 'g_mMultiple myeloma (C88+C90)', 'g_mUterus (C53-55)',
12. 'g_Brain, central ner', 'g_mKidney (C64)',
13.
14. # incidence of the cancers we are targeting
15. 'incidence X21.0', 'incidence X21.1', 'incidence X21.2',
16. 'incidence X21.3', 'incidence X21.4', 'incidence X21.5', 'incidence X21.6',
17. 'incidence X22.0', 'incidence X22.1', 'incidence X22.2', 'incidence X22.3',
18. 'incidence X22.4', 'incidence X22.5', 'incidence X22.6', 'incidence X22.7',
19. 'incidence X22.8',
20. 'incidence C00-96, C44']
21. def __init__(self):
22. pass
23. def fit(self, df, y):
24. return self
25. def transform(self, df):
26. df_ = df[self.main_cols + self.inci_cols].copy()
27. df_ = pd.get_dummies(df_, drop_first=False, columns=['country'])
28. df_ = pd.get_dummies(df_, drop_first=True, columns=['gender'])
29. return df_.values
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1、下载安装包
http://dev.mysql.com/downloads/mysql/#downloads
推荐下载通用安装方法的TAR包
http://cdn.mysql.com//Downloads/MySQL-5.7/mysql-5.7.12-linux-glibc2.5-x86_64.tar
2、检查库文件是否存在，如有删除。
[root@localhost Desktop]$ rpm -qa | grep mysql
mysql-libs-5.1.52-1.el6_0.1.x86_64
[root@localhost ~]# rpm -e mysql-libs-5.1.52.x86_64 --nodeps
[root@localhost ~]#
3、检查mysql组和用户是否存在，如无创建
[root@localhost ~]# cat /etc/group | grep mysqlmysql:x:490:
[root@localhost ~]# cat /etc/passwd | grep mysqlmysql:x:496:490::/home/mysql:/bin/bash
默认存在的情况，如无，执行添加命令：
[root@localhost ~]#groupadd mysql
[root@localhost ~]#useradd -r -g mysql mysql
useradd -r参数表示mysql用户是系统用户，不可用于登录系统。
4、解压TAR包，更改所属的组和用户
[root@localhost ~]# cd /usr/local/
[root@localhost local]# tar xvf mysql-5.7.12-linux-glibc2.5-x86_64.tar
[root@localhost local]# ls -l
total 1306432
-rwxr--r--. 1 root root 668866560 Jun 1 15:07 mysql-5.7.12-linux-glibc2.5-x86_64.tar
-rw-r--r--. 1 7161 wheel 638960236 Mar 28 12:54 mysql-5.7.12-linux-glibc2.5-x86_64.tar.gz
-rw-r--r--. 1 7161 wheel 29903372 Mar 28 12:48 mysql-test-5.7.12-linux-glibc2.5-x86_64.tar.gz
[root@localhost local]# tar xvfz mysql-5.7.12-linux-glibc2.5-x86_64.tar.gz
[root@localhost local]# mv mysql-5.7.12-linux-glibc2.5-x86_64 mysql
[root@localhost local]# ls -l
total 1306436
drwxr-xr-x. 2 root root 4096 Dec 4 2009 bin
drwxr-xr-x. 2 root root 4096 Dec 4 2009 etc
drwxr-xr-x. 2 root root 4096 Dec 4 2009 games
drwxr-xr-x. 2 root root 4096 Dec 4 2009 include
drwxr-xr-x. 2 root root 4096 Dec 4 2009 lib
drwxr-xr-x. 3 root root 4096 Dec 2 14:36 lib64
drwxr-xr-x. 2 root root 4096 Dec 4 2009 libexec
drwxr-xr-x. 9 7161 wheel 4096 Mar 28 12:51 mysql
-rw-r--r--. 1 7161 wheel 638960236 Mar 28 12:54 mysql-5.7.12-linux-glibc2.5-x86_64.tar.gz
drwxr-xr-x. 2 root root 4096 Dec 4 2009 sbin
drwxr-xr-x. 6 root root 4096 Dec 2 14:36 share
drwxr-xr-x. 2 root root 4096 Dec 4 2009 src
[root@localhost local]# chown -R mysql:root mysql/
[root@localhost local]# cd mysql/
5、安装和初始化数据库
[root@localhost mysql]# bin/mysql_install_db --user=mysql --basedir=/usr/local/mysql/ --datadir=/usr/local/mysql/data/2016-06-01 15:23:25 [WARNING] mysql_install_db is deprecated. Please consider switching to mysqld --initialize2016-06-01 15:23:30 [WARNING] The bootstrap log isn't empty:2016-06-01 15:23:30 [WARNING] 2016-06-01T22:23:25.491840Z 0 [Warning] --bootstrap is deprecated. Please consider using --initialize instead2016-06-01T22:23:25.492256Z 0 [Warning] Changed limits: max_open_files: 1024 (requested 5000)2016-06-01T22:23:25.492260Z 0 [Warning] Changed limits: table_open_cache: 431 (requested 2000)----------------------
这一步我安装的时候，第一次不行，所有的重新来了一次，然后出现的是如下提示：
[root@localhost mysql]# ./bin/mysqld --initialize --user=mysql --basedir=/usr/local/mysql/ --datadir=/usr/local/mysql/data/
Installing MySQL system tables...OK
Filling help tables...OK
To start mysqld at boot time you have to copy
support-files/mysql.server to the right place for your system
PLEASE REMEMBER TO SET A PASSWORD FOR THE MySQL root USER !To do so, start the server, then issue the following commands:
/usr/local/mysql//bin/mysqladmin -u root password 'new-password'
/usr/local/mysql//bin/mysqladmin -u root -h 127.0.1.1 password 'new-password'
Alternatively you can run:
/usr/local/mysql//bin/mysql_secure_installation
which will also give you the option of removing the test
databases and anonymous user created by default. This is
strongly recommended for production servers.
See the manual for more instructions.
You can start the MySQL daemon with:
cd /usr ; /usr/local/mysql//bin/mysqld_safe &
You can test the MySQL daemon with mysql-test-run.pl
cd mysql-test ; perl mysql-test-run.pl
Please report any problems at http://bugs.mysql.com/
The latest information about MySQL is available on the web at
http://www.mysql.com
Support MySQL by buying support/licenses at http://shop.mysql.com
New default config file was created as /usr/local/mysql//my.cnf and
will be used by default by the server when you start it.
You may edit this file to change server settings
WARNING: Default config file /etc/my.cnf exists on the system
This file will be read by default by the MySQL serverIf you do not want to use this, either remove it, or use the
--defaults-file argument to mysqld_safe when starting the server
[root@localhost mysql]#
6、创建mysqld起动和配置文件
[root@localhost mysql]#
[root@localhost mysql]# cp -a ./support-files/my-default.cnf /etc/my.cnf
[root@localhost mysql]# cp -a ./support-files/mysql.server /etc/init.d/mysqld
[root@localhost mysql]# cd bin/
[root@localhost bin]# ./mysqld_safe --user=mysql &
[1] 2932
[root@localhost bin]# 2016-06-01T22:27:09.708557Z mysqld_safe Logging to '/usr/local/mysql/data/localhost.localdomain.err'.2016-06-01T22:27:09.854913Z mysqld_safe Starting mysqld daemon with databases from /usr/local/mysql/data
[root@localhost bin]# /etc/init.d/mysqld restart
Shutting down MySQL..2016-06-01T22:27:50.498694Z mysqld_safe mysqld from pid file /usr/local/mysql/data/localhost.localdomain.pid ended
SUCCESS!
Starting MySQL. SUCCESS!
[1]+ Done ./mysqld_safe --user=mysql
[root@localhost bin]#
//设置开机启动
[root@localhost bin]# chkconfig --level 35 mysqld on
[root@localhost bin]#
另一种很好的设置MySQL自启动的方式：
[root@localhost bin]# echo "service mysqld start" >> /etc/rc.local
或者进入/etc/目录，直接vim rc.local编辑rc.local文件，在最后一行添加“service mysqld start”,保存退出
有时会遇到权限问题：
bash: /etc/rc.local: Permission denied
分析：
bash 返回 /etc/rc.local: Permission denied
这是因为重定向符号 “>” 也是 bash 的命令。sudo 只是让 echo 命令具有了 root 权限，
但是没有让 “>” 命令也具有root 权限，所以 bash 会认为这个命令没有写入信息的权限。
解决：
使用 bash -c 参数
[root@localhost bin]# sudo bash -c "echo "service mysqld start" >> /etc/rc.local"
6.初始化密码
mysql5.7会生成一个初始化密码，而在之前的版本首次登陆不需要登录。
[root@localhost bin]# cat /root/.mysql_secret
# Password set for user 'root@localhost' at 2016-06-01 15:23:25
,xxxxxR5H9
[root@localhost bin]# ./mysql -uroot -p
Enter password:
Welcome to the MySQL monitor. Commands end with ; or \g.
Your MySQL connection id is 2
Server version: 5.7.12
Copyright (c) 2000, 2016, Oracle and/or its affiliates. All rights reserved.
Oracle is a registered trademark of Oracle Corporation and/or its
affiliates. Other names may be trademarks of their respective
owners.
Type 'help;' or '\h' for help. Type '\c' to clear the current input statement.
mysql> SET PASSWORD = PASSWORD('123456');
Query OK, 0 rows affected, 1 warning (0.00 sec)
mysql> flush privileges;
Query OK, 0 rows affected (0.00 sec)
上面一步中，如果出现了提示密码过期，可用如下方法解决：
[root@localhost bin]# /usr/local/mysql/bin/mysqladmin -u root -p password
Enter password:New password:
Confirm new password:
Warning: Since password will be sent to server in plain text, use ssl connection to ensure password safety.
或者：
/usr/local/mysql/bin/mysqladmin -u root -p'<your temp password>' password '<your new password>'
7.添加远程访问权限
mysql> use mysql;
Reading table information for completion of table and column names
You can turn off this feature to get a quicker startup with -A
Database changed
mysql> update user set host = '%' where user = 'root';
Query OK, 1 row affected (0.00 sec)
Rows matched: 1 Changed: 1 Warnings: 0
mysql> select host, user from user;
+-----------+-----------+| host | user |
+-----------+-----------+
| % | root || localhost | mysql.sys |
+-----------+-----------+
9、更改配置文件和服务的权限
此步一定要改，我当初没改就一直提示说是有一个服务绑定了3306，死都找不出来问题。
先添加环境变量：
[root@localhost bin]# vim /etc/profile
最后一行填加：
MYSQL_HOME=/usr/local/mysqlexport PATH=$PATH:$MYSQL_HOME/bin
让修改立即生效：
[root@localhost bin]# source /etc/profile
再修改两个文件的权限：
[root@localhost bin]#
[root@localhost bin]# service mysqld stop
[root@localhost bin]# chown -R root:root /etc/init.d/mysqld
[root@localhost bin]# chown -R root:root /etc/my.cnf
10、修改配置文件
[root@localhost bin]# vim /etc/my.cnf
我的配置文件如下：
# For advice on how to change settings please see
# http://dev.mysql.com/doc/refman/5.7/en/server-configuration-defaults.html
# *** DO NOT EDIT THIS FILE. It's a template which will be copied to the
# *** DO NOT EDIT THIS FILE. It's a template which will be copied to the
# *** default location during install, and will be replaced if you
# *** upgrade to a newer version of MySQL.
[client]default-character-set=utf8
#避免MySQL的外部锁定，减少出错几率增强稳定性。
socket = /tmp/mysql.sock
[mysql]local-infile=1
loose-local-infile=1
[mysqld]
# Remove leading # and set to the amount of RAM for the most important data
# cache in MySQL. Start at 70% of total RAM for dedicated server, else 10%.
# innodb_buffer_pool_size = 128M
# Remove leading # to turn on a very important data integrity option: logging
# changes to the binary log between backups.
# log_bin
# These are commonly set, remove the # and set as required.
basedir = /usr/local/mysql
datadir = /usr/local/mysql/data
port = 3306
server_id = 1
character_set_server=utf8
#skip-grant-tables
lower_case_table_names=1
#避免MySQL的外部锁定，减少出错几率增强稳定性。
socket = /tmp/mysql.sock skip-external-locking
skip-name-resolve
log_bin=/usr/local/mysql/log/bin.log
log_error=/usr/local/mysql/log/error.log
long_query_time=3
slow_query_log=ON
slow_query_log_file="/usr/local/mysql/log/slowquery.log"
general_log=ON
general_log_file=/usr/local/mysql/log/general.log
expire_logs_days = 10
# socket = .....
# Remove leading # to set options mainly useful for reporting servers.
# The server defaults are faster for transactions and fast SELECTs.
# Adjust sizes as needed, experiment to find the optimal values.
# join_buffer_size = 128M
# sort_buffer_size = 2M
# read_rnd_buffer_size = 2M
sql_mode=STRICT_TRANS_TABLES,ERROR_FOR_DIVISION_BY_ZERO,NO_AUTO_CREATE_USER,NO_AUTO_VALUE_ON_ZERO,NO_ENGINE_SUBSTITUTION,NO_ZERO_IN_DATE
修改后保存退出
11、重启生效
[root@localhost bin]# /etc/init.d/mysqld restart
[root@localhost bin]# netstat -na | grep 3306，如果看到有监听说明服务启动了
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# 1、恐龙题
# 给两个cvs files里面给了一些数据，格式大概是这样的
# file1
# name,leg_length,diet
# file2:
# name,stride_length,stance
# 两个files里的恐龙的名字是对应的，但是不顺序
# 要求是根据给定的一个公式（输入是leg_length和stride_length）计算出速度，从大到小输出直立行走的恐龙名字
import collections
import os
def printDinosaur(speedOf, file1, file2):
dTable = collections.defaultdict(list)
with open(file1, 'r') as csv1, open(file2, 'r') as csv2:
for line in csv1:
try:
dinosaur, leg_length, diet = line.split(',')
except TypeError as err:
print('Input error: {0}'.format(err))
else:
dTable[dinosaur].append(int(leg_length))
for line in csv2:
try:
dinosaur, stride_length, stance = line.split(',')
except TypeError as err:
print('Input error: {0}'.format(err))
else:
dTable[dinosaur].append(int(stride_length))
col = [(name, dTable[name][0], dTable[name][1]) for name in dTable]
col.sort(cmp=lambda a,b: speedOf(a[1], a[2]) - speedOf(b[1], b[2]), reverse=True)
print(col)
return [elt[0] for elt in col]
def speedOf(leg, stride):
return leg * stride
print(printDinosaur(speedOf, 'Facebook/PE/dinosaur1.csv', 'Facebook/PE/dinosaur2.csv')) | {
"repo_name": "seanxwzhang/LeetCode",
"path": "Facebook/PE/dinosaur.py",
"copies": "1",
"size": "1278",
"license": "mit",
"hash": 8678646909809414000,
"line_mean": 29.1351351351,
"line_max": 87,
"alpha_frac": 0.6956912029,
"autogenerated": false,
"ratio": 2.1423076923076922,
"config_test": false,
"has_no_keywords": false,
"few_assignments": false,
"quality_score": 0.3337998895207692,
"avg_score": null,
"num_lines": null
} |
#1.单进程：
# import requests,time
# start_time=time.time()
# [requests.get('http://www.liaoxuefeng.com/') for x in range(100)]
# print("用时：{}秒".format(time.time()-start_time))
#2.多线程
# import threadpool,requests
# def run(url):
# r=requests.get(url=url)
# pool=threadpool.ThreadPool(10)
# reqs=threadpool.makeRequests(run,['http://www.liaoxuefeng.com' for x in range(100)])
# [pool.putRequest(x) for x in reqs]
# pool.wait()
# print("用时：{}秒".format(time.time()-start_time))
#3.多进程
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# import multiprocessing,time,requests
# start_time=time.time()
# def run(url):
# r=requests.get(url=url)
# #print(1)
# if __name__=='__main__':
# pool=multiprocessing.Pool(10)
# [pool.apply_async(run,args=('http://www.liaoxuefeng.com',)) for x in range(100)]
# pool.close()
# pool.join()
# print("用时：{}秒".format(time.time()-start_time))
#4.协程（异步IO）
import asyncio, aiohttp, time
start_time=time.time()
async def run(url):
async with aiohttp.ClientSession() as session:
async with session.get(url=url) as resp:
pass
loop=asyncio.get_event_loop()
tasks=[asyncio.ensure_future(run('http://www.liaoxuefeng.com')) for x in range(100)]
loop.run_until_complete(asyncio.wait(tasks))
print("用时：{}秒".format(time.time()-start_time)) | {
"repo_name": "YuHongJun/python-training",
"path": "work_one/requestUrlTest.py",
"copies": "1",
"size": "1373",
"license": "mit",
"hash": -5040773757337042000,
"line_mean": 28.1111111111,
"line_max": 86,
"alpha_frac": 0.6600458365,
"autogenerated": false,
"ratio": 2.5972222222222223,
"config_test": false,
"has_no_keywords": false,
"few_assignments": false,
"quality_score": 0.8672164963677774,
"avg_score": 0.017020619008889577,
"num_lines": 45
} |
class Node(object):
"""链表结构的Node节点"""
def __init__(self, data, next_node=None):
"""Node节点的初始化方法.
参数:
data:存储的数据
next:下一个Node节点的引用地址
"""
self.__data = data
self.__next = next_node
@property
def data(self):
"""Node节点存储数据的获取.
返回:
当前Node节点存储的数据
"""
return self.__data
@data.setter
def data(self, data):
"""Node节点存储数据的设置方法.
参数:
data:新的存储数据
"""
self.__data = data
@property
def next_node(self):
"""获取Node节点的next指针值.
返回:
next指针数据
"""
return self.__next
@next_node.setter
def next_node(self, next_node):
"""Node节点next指针的修改方法.
参数:
next:新的下一个Node节点的引用
"""
self.__next = next_node
class SinglyLinkedList(object):
"""单向链表"""
def __init__(self):
"""单向列表的初始化方法."""
self.__head = None
def find_by_value(self, value):
"""按照数据值在单向列表中查找.
参数:
value:查找的数据
返回:
Node
"""
node = self.__head
while (node is not None) and (node.data != value):
node = node.next_node
return node
def find_by_index(self, index):
"""按照索引值在列表中查找.
参数:
index:索引值
返回:
Node
"""
node = self.__head
pos = 0
while (node is not None) and (pos != index):
node = node.next_node
pos += 1
return node
def insert_to_head(self, value):
"""在链表的头部插入一个存储value数值的Node节点.
参数:
value:将要存储的数据
"""
node = Node(value)
node.next_node = self.__head
self.__head = node
def insert_after(self, node, value):
"""在链表的某个指定Node节点之后插入一个存储value数据的Node节点.
参数:
node:指定的一个Node节点
value:将要存储在新Node节点中的数据
"""
if node is None: # 如果指定在一个空节点之后插入数据节点，则什么都不做
return
new_node = Node(value)
new_node.next_node = node.next
node.next = new_node
def insert_before(self, node, value):
"""在链表的某个指定Node节点之前插入一个存储value数据的Node节点.
参数:
node:指定的一个Node节点
value:将要存储在新的Node节点中的数据
"""
if (node is None) or (self.__head is None): # 如果指定在一个空节点之前或者空链表之前插入数据节点，则什么都不做
return
if node == self.__head: # 如果是在链表头之前插入数据节点，则直接插入
self.insert_to_head(value)
return
new_node = Node(value)
pro = self.__head
not_found = False # 如果在整个链表中都没有找到指定插入的Node节点，则该标记量设置为True
while pro.next_node != node: # 寻找指定Node之前的一个Node
if pro.next_node is None: # 如果已经到了链表的最后一个节点，则表明该链表中没有找到指定插入的Node节点
not_found = True
break
else:
pro = pro.next_node
if not not_found:
pro.next_node = new_node
new_node.next_node = node
def delete_by_node(self, node):
"""在链表中删除指定Node的节点.
参数:
node:指定的Node节点
"""
if self.__head is None: # 如果链表是空的，则什么都不做
return
if node == self.__head: # 如果指定删除的Node节点是链表的头节点
self.__head = node.next_node
return
pro = self.__head
not_found = False # 如果在整个链表中都没有找到指定删除的Node节点，则该标记量设置为True
while pro.next_node != node:
if pro.next_node is None: # 如果已经到链表的最后一个节点，则表明该链表中没有找到指定删除的Node节点
not_found = True
break
else:
pro = pro.next_node
if not not_found:
pro.next_node = node.next_node
def delete_by_value(self, value):
"""在链表中删除指定存储数据的Node节点.
参数:
value:指定的存储数据
"""
if self.__head is None: # 如果链表是空的，则什么都不做
return
if self.__head.data == value: # 如果链表的头Node节点就是指定删除的Node节点
self.__head = self.__head.next_node
pro = self.__head
node = self.__head.next_node
not_found = False
while node.data != value:
if node.next_node is None: # 如果已经到链表的最后一个节点，则表明该链表中没有找到执行Value值的Node节点
not_found = True
break
else:
pro = node
node = node.next_node
if not_found is False:
pro.next_node = node.next_node
def delete_last_n_node(self, n):
"""删除链表中倒数第N个节点.
主体思路：
设置快、慢两个指针，快指针先行，慢指针不动；当快指针跨了N步以后，快、慢指针同时往链表尾部移动，
当快指针到达链表尾部的时候，慢指针所指向的就是链表的倒数第N个节点
参数:
n:需要删除的倒数第N个序数
"""
fast = self.__head
slow = self.__head
step = 0
while step <= n:
fast = fast.next_node
step += 1
while fast.next_node is not None:
tmp = slow
fast = fast.next_node
slow = slow.next_node
tmp.next_node = slow.next_node
def find_mid_node(self):
"""查找链表中的中间节点.
主体思想:
设置快、慢两种指针，快指针每次跨两步，慢指针每次跨一步，则当快指针到达链表尾部的时候，慢指针指向链表的中间节点
返回:
node:链表的中间节点
"""
fast = self.__head
slow = self.__head
while fast.next_node is not None:
fast = fast.next_node.next_node
slow = slow.next_node
return slow
def create_node(self, value):
"""创建一个存储value值的Node节点.
参数:
value:将要存储在Node节点中的数据
返回:
一个新的Node节点
"""
return Node(value)
def print_all(self):
"""打印当前链表所有节点数据."""
pos = self.__head
if pos is None:
print("当前链表还没有数据")
return
while pos.next_node is not None:
print(str(pos.data) + " --> ", end="")
pos = pos.next_node
print(str(pos.data))
def reversed_self(self):
"""翻转链表自身."""
if self.__head is None or self.__head.next is None: # 如果链表为空，或者链表只有一个节点
return
pre = self.__head
node = self.__head.next
while node is not None:
pre, node = self.__reversed_with_two_node(pre, node)
self.__head.next = None
self.__head = pre
def __reversed_with_two_node(self, pre, node):
"""翻转相邻两个节点.
参数:
pre:前一个节点
node:当前节点
返回:
(pre,node):下一个相邻节点的元组
"""
tmp = node.next_node
node.next_node = pre
pre = node # 这样写有点啰嗦，但是能让人更能看明白
node = tmp
return pre, node
def has_ring(self):
"""检查链表中是否有环.
主体思想：
设置快、慢两种指针，快指针每次跨两步，慢指针每次跨一步，如果快指针没有与慢指针相遇而是顺利到达链表尾部
说明没有环；否则，存在环
返回:
True:有环
False:没有环
"""
fast = self.__head
slow = self.__head
while (fast.next_node is not None) and (fast is not None):
fast = fast.next_node
slow = slow.next_node
if fast == slow:
return True
return False
| {
"repo_name": "wangzheng0822/algo",
"path": "python/06_linkedlist/singlyLinkedList.py",
"copies": "1",
"size": "9190",
"license": "apache-2.0",
"hash": 1583086988806336500,
"line_mean": 24.0211267606,
"line_max": 87,
"alpha_frac": 0.4976076555,
"autogenerated": false,
"ratio": 2.2261904761904763,
"config_test": false,
"has_no_keywords": false,
"few_assignments": false,
"quality_score": 0.8223171123287647,
"avg_score": 0.00012540168056599982,
"num_lines": 284
} |
# 1.定义一个方法 func，该func可以引入任意多的整型参数，结果返回其中最大与最小的值。
# def func(*num):
# result = list(num)
# return sorted(result)[0], sorted(result)[len(result) - 1]
# 2.定义一个方法func，该func可以引入任意多的字符串参数，结果返回（长度）最长的字符串。
# def func(*string):
# result_list = []
# result_list = [(x, len(x)) for x in list(string)]
# return sorted(result_list, key=lambda y: y[1], reverse=True)[0][0]
# print(func('aaa', 'b', 'vvvvvvvv'))
# 3.定义一个方法get_doc(module)，module参数为该脚本中导入或定义的模块对象，该函数返回module的帮助文档。
# import time
#
#
# def get_doc(module):
# help(module)
# print(get_doc(time))
# 例 print get_doc(urllib),则会输出urllib这个模块的帮助文档。
# 4.定义一个方法get_text(f),f参数为任意一个文件的磁盘路径，该函数返回f文件的内容。
# def get_text(f):
# file = open(f, 'r')
# for x in file.readlines():
# return x
# print(get_text(''))
# 5.定义一个方法get_dir(folder),folder参数为任意一个文件夹，该函数返回folder文件夹的文件列表。提示（可以了解python的glob模块）
# import glob
# def get_dir(folder):
# return glob.glob(folder)
# print(get_dir("/home/blue/python"))
# 1 定义一个方法get_num(num),num参数是列表类型，判断列表里面的元素为数字类型。其他类型则报错，并且返回一个偶数列表：（注：列表里面的元素为偶数）。
def get_num(num):
if isinstance(num, list):
for x in num:
if isinstance(x, int) is False:
return "the num is not int"
return list(filter(lambda y: y % 2 == 0, num))
else:
return "the num is not list"
assert get_num([2, 1, 30]) == [2, 30]
# 2 定义一个方法get_page(url),url参数是需要获取网页内容的网址，返回网页的内容。提示（可以了解python的urllib模块）。
import urllib
#def get_page(url):
# 3 定义一个方法 func，该func引入任意多的列表参数，返回所有列表中最大的那个元素。
# def func(*num_list):
# for x in num_list:
# if isinstance(x, list) is False:
# return "the num_list is not list"
# return sorted(num_list, key=lambda y: len(y), reverse=True)[0]
# print(func([1, 2], [1, 2, 3]))
# 4 定义一个方法get_dir(f),f参数为任意一个磁盘路径，该函数返回路径下的所有文件夹组成的列表，如果没有文件夹则返回"Not dir"。
# def get_dir(f):
| {
"repo_name": "bluedai180/PythonExercise",
"path": "Exercise/Method.py",
"copies": "1",
"size": "2635",
"license": "apache-2.0",
"hash": -2026009484972654800,
"line_mean": 26.0579710145,
"line_max": 84,
"alpha_frac": 0.6497054097,
"autogenerated": false,
"ratio": 1.7287037037037036,
"config_test": false,
"has_no_keywords": false,
"few_assignments": false,
"quality_score": 0.2878409113403704,
"avg_score": null,
"num_lines": null
} |
#1. 打印功能提示
print("="*50)
print(" 名片管理系统 V0.01")
print(" 1. 添加一个新的名片")
print(" 2. 删除一个名片")
print(" 3. 修改一个名片")
print(" 4. 查询一个名片")
print(" 5. 显示所有的名片")
print(" 6. 退出系统")
print("="*50)
#用来存储名片
card_infors = []
while True:
#2. 获取用户的输入
num = int(input("请输入操作序号:"))
#3. 根据用户的数据执行相应的功能
if num==1:
new_name = input("请输入新的名字:")
new_qq = input("请输入新的QQ:")
new_weixin = input("请输入新的微信:")
new_addr = input("请输入新的住址:")
#定义一个新的字典,用来存储一个新的名片
new_infor = {}
new_infor['name'] = new_name
new_infor['qq'] = new_qq
new_infor['weixin'] = new_weixin
new_infor['addr'] = new_addr
#将一个字典,添加到列表中
card_infors.append(new_infor)
#print(card_infors)# for test
elif num==2:
pass
elif num==3:
pass
elif num==4:
find_name = input("请输入要查找的姓名:")
find_flag = 0#默认表示没有找到
for temp in card_infors:
if find_name == temp["name"]:
print("%s\t%s\t%s\t%s"%(temp['name'], temp['qq'], temp['weixin'], temp['addr']))
find_flag=1#表示找到了
break
#判断是否找到了
if find_flag == 0:
print("查无此人....")
elif num==5:
print("姓名\tQQ\t微信\t住址")
for temp in card_infors:
print("%s\t%s\t%s\t%s"%(temp['name'], temp['qq'], temp['weixin'], temp['addr']))
elif num==6:
break
else:
print("输入有误,请重新输入")
print("")
| {
"repo_name": "nacker/pythonProject",
"path": "01Base/03/04-名片关系系统.py",
"copies": "2",
"size": "1857",
"license": "apache-2.0",
"hash": -142679517496484860,
"line_mean": 20.8382352941,
"line_max": 96,
"alpha_frac": 0.4962962963,
"autogenerated": false,
"ratio": 2.1742313323572473,
"config_test": false,
"has_no_keywords": false,
"few_assignments": false,
"quality_score": 0.36705276286572475,
"avg_score": null,
"num_lines": null
} |
# 1. 给你一本书(input)，统计里面词频最高的10个单词
# 先是说考虑input是一个大string的情况，用hashmap+maxheap直接秒就行了，注意一些细节处理就好，我写完被挑出一些小毛病，改完小哥很满意然后上follow up: input是一个文件？改下代码的input处理就好了，按行读入按单词存入hashmap。写完继续follow up：如果input文件很大，hashmap爆了内存怎么办？只考虑ASCII。然后开始估算大概要用多少内存，算下来几M到几十M不等的内存占用，然后pass
import collections
import heapq
def word_frequency(input, n):
"""
input: list[str]
n: int
"""
table, heap, res = collections.defaultdict(0), [], []
for word in input:
input[word] += 1
heap = [(-table[word], word) for word in table]
heapq.heapify(heap)
for _ in xrange(n):
res.append(heapq.heappop())
return res
def file_word_frequence(file, n):
table, heap, res = collections.defaultdict(0), [], []
with open(file, 'r') as input:
for word in input:
input[word] += 1
heap = [(-table[word], word) for word in table]
heapq.heapify(heap)
for _ in xrange(n):
res.append(heapq.heappop())
return res | {
"repo_name": "seanxwzhang/LeetCode",
"path": "Facebook/PE/word_frequency.py",
"copies": "1",
"size": "1279",
"license": "mit",
"hash": 2421095081970710000,
"line_mean": 32.4482758621,
"line_max": 225,
"alpha_frac": 0.657378741,
"autogenerated": false,
"ratio": 1.9695121951219512,
"config_test": false,
"has_no_keywords": false,
"few_assignments": false,
"quality_score": 0.3126890936121951,
"avg_score": null,
"num_lines": null
} |
#1에서 10000까지의 자연수의 각 자릿수에 3,9가 있으면 짝을, 6이 있으면 뽁짝을, 2,4,8은 뽁을 출력한다.
#단, 순서를 지킨다.
count=0 #문자를 쓸지 숫자를 쓸지 판단하기 위함
dictionary = {} #각 숫자의 모든 자리를 검사해서 자리번호가 key, 표시할 대상이 value인 순서쌍을 저장한다.
while True:
max = int(input("숫자를 입력하세요 : "))
if max <1 or max >10000: #말은 이렇게 했지만 이것만 지우면 모든 자연수를 다 할 수 있다. 나도 내가 두렵다. 나란 녀석...
print("1이상 10000이하의 숫자만 입력할 수 있습니다.")
else: # max가 유효한 범위의 숫자라면,
for number in range(1,max+1):
number_of_number = len(str(number)) #자릿수를 number_of_number에 저장
if number%20 == 0 or number == max: #줄바꿈을 해야하는 숫자들이라면,
number = str(number)
for i in range(0, number_of_number): #0번 자리부터 최대 4번 자리까지 각각의 숫자를 검사한다
if number[i] in ["3", "9"]: #i번자리 숫자가 3,9면 순서쌍 {i : "짝"} 을 dictionary에 저장
dictionary[i] = "짝"
count = count + 1
elif number[i] == "6": #i번자리 숫자가 6이면 순서쌍 {i : "뽁짝"} 을 dictionary에 저장
dictionary[i] = "뽁짝"
count = count + 1
elif number[i] in ["2", "4", "8"]: #i번자리 숫자가 2,4,8이면 순서쌍 {i : "뽁"} 을 dictionary에 저장
dictionary[i] = "뽁"
count = count + 1
else: #i번자리 숫자가 1,5,7이면 순서쌍 {i : ""} 을 dictionary에 저장(특징없는 숫자는 count세지 않는다)
dictionary[i] = ""
if count == 0: #그냥 숫자 출력
print(number) #줄바꿈 한다
else:
for i in range(0, number_of_number): #dictionary에 저장했던 key들을 순서대로 불러온다
print(dictionary[i], end="")
print("") #줄바꿈 한다
dictionary={} #다음 number의 검사를 위해 dictionary와 count를 비워둔다
count=0
else: #줄바꿈을 하지 않아야 하는 숫자들이라면,
number = str(number)
for i in range(0, number_of_number):
if number[i] in ["3", "9"]:
dictionary[i] = "짝"
count = count + 1
elif number[i] == "6":
dictionary[i] = "뽁짝"
count = count + 1
elif number[i] in ["2", "4", "8"]:
dictionary[i] = "뽁"
count = count + 1
else:
dictionary[i] = ""
if count == 0:
print(number, end=" ") #줄바꿈 안하고 띄어쓰기 한번 한다
else:
for i in range(0, number_of_number):
print(dictionary[i], end="")
print("", end=" ") #줄바꿈 안한고 띄어쓰기 한번 한다
dictionary = {}
count = 0 | {
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1#!/usr/bin/env python2.7
"""MongoDB hub for insertion of data into our servers.
This module inserts into GVA2015_data collection documents with the following
structure::
{
"_id": ObjectID(...),
"house": HOUSE_NAME,
"basetime": DATE VALUE IN TIMESTAMP,
"topic": MQTT TOPIC WITH '/' REPLACED BY '.',
"delta_times": AN ARRAY,
"values": ANOTHER ARRAY
}
"""
import bson
import datetime
import json
import Queue
import time
import threading
import traceback
import raspi_mon_sys.LoggerClient as LoggerClient
import raspi_mon_sys.Scheduler as Scheduler
import raspi_mon_sys.Utils as Utils
PENDING_DOCUMENTS_LENGTH_WARNING = 10000 # expected 40MB of messages for warning
PENDING_DOCUMENTS_LENGTH_ERROR = 30000 # expected 120MB of messages for data loss
PERIOD = 3600 # every 3600 seconds (1 hour) we send data to hour server
assert PENDING_DOCUMENTS_LENGTH_ERROR > PENDING_DOCUMENTS_LENGTH_WARNING
raspi_mac = Utils.getmac()
logger = None
mqtt_client = None
house_data = None
lock = threading.RLock()
pending_documents = []
raspimon_message_queues = {}
forecast_message_queues = {}
def __enqueue_raspimon_message(client, userdata, topic, message):
timestamp = message["timestamp"]
data = message["data"]
basetime = int(timestamp // PERIOD * PERIOD)
lock.acquire()
q = raspimon_message_queues.setdefault( (topic,basetime), Queue.Queue() )
lock.release()
delta_time = timestamp - basetime
q.put( (delta_time, data) )
logger.debug("%s %f %f %f %s", topic, float(basetime), float(timestamp),
float(delta_time), str(data))
def __enqueue_forecast_message(client, userdata, topic, message):
timestamp = message["timestamp"]
basetime = int(timestamp // PERIOD * PERIOD)
lock.acquire()
q = forecast_message_queues.setdefault( (topic,basetime), Queue.Queue() )
lock.release()
q.put( message )
logger.debug("%s %f %s", topic, float(timestamp), str(message))
def __on_mqtt_connect(client, userdata, rc):
client.subscribe("raspimon/#")
client.subscribe("forecast/#")
def __on_mqtt_message(client, userdata, msg):
global raspimon_message_queues
topic = msg.topic.replace("/",".")
message = json.loads(msg.payload)
if topic.startswith("raspimon"):
__enqueue_raspimon_message(client, userdata, topic, message)
elif topic.startswith("forecast"):
__enqueue_forecast_message(client, userdata, topic, message)
else:
raise ValueError("Unknown MQTT topic " + topic)
def __configure_mqtt(client):
client.on_connect = __on_mqtt_connect
client.on_message = __on_mqtt_message
def __build_raspimon_documents(key):
global raspimon_message_queues
topic,basetime = key
q = raspimon_message_queues.pop(key)
q.put('STOP')
data_pairs = [ x for x in iter(q.get, 'STOP') ]
data_pairs.sort(key=lambda x: x[0])
delta_times,values = zip(*data_pairs)
document = {
"house" : house_data["name"],
"basetime" : datetime.datetime.utcfromtimestamp(basetime),
"topic" : topic,
"delta_times" : delta_times,
"values" : values
}
logger.info("New document for topic= %s basetime= %d with n= %d",
topic, int(basetime), len(delta_times))
return [ document ]
def __build_forecast_documents(key):
global forecast_message_queues
topic,basetime = key
q = forecast_message_queues.pop(key)
q.put('STOP')
messages = [ x for x in iter(q.get, 'STOP') ]
messages.sort(key=lambda x: x["timestamp"])
time2dt = datetime.datetime.utcfromtimestamp
for doc in messages:
doc["timestamp"] = time2dt(doc["timestamp"])
doc["periods_start"] = [ time2dt(x) for x in doc["periods_start"] ]
doc["periods_end"] = [ time2dt(x) for x in doc["periods_end"] ]
doc["house"] = house_data["name"]
doc["topic"] = topic
logger.info("New documents for topic= %s basetime= %d with n= %d",
topic, int(basetime), len(messages))
return messages
def __upload_all_data(db, build_documents, queues):
insert_batch = [ y for x in queues.keys() for y in build_documents(x)]
db.GVA2015_data.insert(insert_batch)
logger.info("Inserted %d documents", len(insert_batch))
def __build_after_deadline_documents(build_docs, queues, t):
lock.acquire()
keys = queues.keys()
lock.release()
batch = [ y for x in keys if t - x[1] > PERIOD for y in build_docs(x) ]
return batch
def start():
"""Opens connections with logger, MongoDB and MQTT broker."""
global logger
global mqtt_client
global house_data
logger = LoggerClient.open("MongoDBHub")
mqtt_client = Utils.getpahoclient(logger, __configure_mqtt)
mongo_client = Utils.getmongoclient(logger)
db = mongo_client["raspimon"]
col = db["GVA2015_houses"]
house_data = col.find_one({ "raspi":raspi_mac })
assert house_data is not None
mongo_client.close()
def stop():
mongo_client = Utils.getmongoclient(logger)
db = mongo_client["raspimon"]
# close MQTT broker connection
mqtt_client.disconnect()
# force sending data to MongoDB
__upload_all_data(db, __build_raspimon_documents, raspimon_message_queues)
__upload_all_data(db, __build_forecast_documents, forecast_message_queues)
if len(pending_documents) > 0: db.GVA2015_data.insert(pending_documents)
# close rest of pending connections
mongo_client.close()
logger.close()
def upload_data():
try:
mongo_client = Utils.getmongoclient(logger)
db = mongo_client["raspimon"]
t = time.time()
raspimon_batch = __build_after_deadline_documents(__build_raspimon_documents,
raspimon_message_queues, t)
forecast_batch = __build_after_deadline_documents(__build_forecast_documents,
forecast_message_queues, t)
global pending_documents
insert_batch = raspimon_batch + forecast_batch + pending_documents
pending_documents = []
try:
if len(insert_batch) > 0: db.GVA2015_data.insert(insert_batch)
except:
pending_documents = insert_batch
if len(pending_documents) > PENDING_DOCUMENTS_LENGTH_ERROR:
logger.error("Pending %s messages is above data loss threshold %d, sadly pending list set to zero :S",
len(pending_documents),
PENDING_DOCUMENTS_LENGTH_ERROR)
pending_documents = [] # data loss here :'(
elif len(pending_documents) > PENDING_DOCUMENTS_LENGTH_WARNING:
logger.alert("Pending %s messages is above warning threshold %d, data loss will occur at %d",
len(pending_documents),
PENDING_DOCUMENTS_LENGTH_WARNING,
PENDING_DOCUMENTS_LENGTH_ERROR)
else:
logger.warning("Connection with database is failing")
raise
logger.info("Inserted %d documents", len(insert_batch))
mongo_client.close()
except:
print "Unexpected error:", traceback.format_exc()
logger.error("Unexpected error: %s", traceback.format_exc())
if __name__ == "__main__":
Scheduler.start()
start()
Scheduler.repeat_o_clock_with_offset(PERIOD*1000, PERIOD/12*1000, upload_data)
try:
while True: time.sleep(60)
except:
stop()
raise
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1 # !/usr/bin/env python3
# -*- coding: utf-8 -*-
import cv2
import os
import numpy as np
import dlib
import sklearn.decomposition
import pickle
import mappings
import copy
# Emotion tags in ascending order
emotions = ['neutral', 'anger', 'contempt', 'disgust',
'fear', 'happiness', 'sadness', 'surprise']
root_path = "/home/keyran/Documents/Teaching/2016/Дипломники/Datasets/Ck_plus/"
images_path = root_path + "cohn-kanade-images"
emotion_labels_path = root_path + "Emotion"
cascadePath = "data/Cascades/haarcascade_frontalface_alt.xml"
faceCascade = cv2.CascadeClassifier(cascadePath)
frontal_face_detector = dlib.get_frontal_face_detector()
pose_model = dlib.shape_predictor("data/ShapePredictor/shape_predictor_68_face_landmarks.dat")
clahe = cv2.createCLAHE(clipLimit=2.0, tileGridSize=(8, 8))
class Face:
def __init__(self, filepath=None, image=None, rectangle=None, label=None):
if (filepath is None and image is None):
raise ValueError("You must scpecify either filepath or image")
self._filepath = filepath
self._image = image
self._tilt = None
self._milestones = None
self._center = None
self.emotions = None
self.label = label
self.rectangle = rectangle
def image(self):
if not self._image is None:
return self._image
else:
return cv2.imread(self._filepath)
def milestones(self):
if self.rectangle is None:
raise Exception("The face rectangle hasn't been set")
if self._milestones is None:
gray_image = cv2.cvtColor(self.image(), cv2.COLOR_RGB2GRAY)
clahe_frame = clahe.apply(gray_image)
milestones = pose_model(clahe_frame, self.rectangle)
arr = np.ndarray((milestones.num_parts, 2))
for i in range(milestones.num_parts):
arr[i, 0] = milestones.part(i).x
arr[i, 1] = milestones.part(i).y
self._milestones = arr
return self._milestones
@staticmethod
def fabric(filepath=None, image=None, label=None):
if (filepath is None and image is None):
raise ValueError("You must scpecify either filepath or image")
faces = []
if filepath:
image = cv2.imread(filepath)
faces = frontal_face_detector(image)
if len(faces) != 0:
return [Face(filepath=filepath, image=image if not filepath else None,
rectangle=face, label=label) for face in faces]
else:
faces = faceCascade.detectMultiScale(image)
if len(faces) != 0:
ret = []
for face in faces:
x = face[0]
y = face[1]
x1 = x + face[2]
y1 = y + face[3]
ret.append(dlib.rectangle(
int(x), int(y), int(x1), int(y1)))
return [Face(filepath=filepath, image=image if not filepath else None,
rectangle=face, label=label) for face in ret]
else:
return []
def tilt(self):
if self._tilt is None:
tilt = 180 - np.arctan2(self.milestones()[45][1] - self.milestones()[39][1],
self.milestones()[39][0] - self.milestones()[45][0]) * 180 / np.pi
self._tilt = tilt if tilt < 180 else tilt - 360
return self._tilt
def center(self):
if self._center is None:
self._center = (self.milestones()[39][0] + self.milestones()[45][0] / 2,
self.milestones()[39][1] + self.milestones()[45][1] / 2)
return self._center
class FaceSet:
def __init__(self, faces, maps = []):
self.faces = faces
self.permutation = None
self.mappings = maps
self.emotions = None
def generate_training_data(self):
data = np.array([f.milestones() for f in self.faces])
labels = np.array([f.label for f in self.faces])
for mapping in self.mappings:
if type(mapping) == mappings.PCAMapping:
continue
data, labels = mapping.training_mapping(data, labels)
return data.reshape(len(labels),-1), labels
def generate_data(self):
data = np.array([f.milestones() for f in self.faces])
data_len = len(data)
for mapping in self.mappings:
data = mapping.classification_mapping(data)
return data.reshape(data_len,-1)
def generate_sets(self, train_size=0.6, validation_size=0.2, test_size=0.2,
permutation=None):
points,labels = self.generate_training_data()
if permutation:
self.permutation = permutation
if self.permutation is None:
self.permutation = np.random.permutation(points.shape[0])
training_count = int(points.shape[0] * train_size)
validation_count = int(points.shape[0] * validation_size)
training_data, validation_data, test_data = np.split(points[self.permutation],
[training_count, validation_count + training_count])
training_labels, validation_labels, test_labels = np.split(labels[self.permutation],
[training_count, validation_count + training_count])
for mapping in self.mappings:
if type(mapping) == mappings.PCAMapping:
mapping.pca_init (training_data)
training_data = mapping.classification_mapping(training_data)
validation_data = mapping.classification_mapping(validation_data)
test_data = mapping.classification_mapping(test_data)
return {"train_data": training_data,
"train_labels": training_labels,
"valid_data": validation_data,
"valid_labels": validation_labels,
"test_data": test_data,
"test_labels": test_labels}
def save(self, filename):
with open(filename, 'wb') as f:
pickle.dump(self, f)
@staticmethod
def load(filename):
with open(filename, 'rb') as f:
return pickle.load(f)
def get_emotion(subject, series):
path = emotion_labels_path + "/" + subject + "/" + series
if not os.path.exists(path):
return -1
files = os.listdir(path)
if len(files) == 0:
return -1
with open(path + "/" + files[0], 'r') as fin:
str_ = fin.readline()
return int(float(str_))
def load_all():
faces = []
for p1 in os.scandir(images_path):
subject = p1.name
if not p1.is_dir():
continue
for p2 in os.scandir(p1.path):
if not p2.is_dir():
continue
num = p2.name
for p3 in os.scandir(p2.path):
files_count = len(list(os.scandir(p2.path)))
if not p3.is_file():
continue
image = p3.path
# print (image)
# Начальные изображения - нейтральные
if int(image.rsplit("_")[-1][:-4]) > files_count / 4:
emotion = get_emotion(subject, num)
if emotion == -1:
continue
else:
emotion = 0
faces.append(Face.fabric(filepath=p3.path, label=emotion)[0])
print(len(faces))
return FaceSet(faces)
if __name__ == '__main__':
try:
face_set = FaceSet.load("data/TrainingData/training_data.dat")
except:
face_set = load_all()
pca_face_set = copy.deepcopy(face_set)
face_set.mappings = (mappings.DropContemptMapping(),
mappings.ZoomAndTranslateMapping(),
mappings.ImageMirrorMapping(),
mappings.NormalizeMapping(),
)
pca = mappings.PCAMapping(keep_variance=0.99)
pca_face_set.mappings = (mappings.DropContemptMapping(),
mappings.ZoomAndTranslateMapping(),
mappings.ImageMirrorMapping(),
mappings.NormalizeMapping(),
pca)
face_set.save("data/TrainingData/training_data.dat")
if(input("Generate training data? (yes/no) ")=="yes"):
dat = face_set.generate_sets()
face_set.save("data/TrainingData/training_data.dat")
pickle.dump(dat, open("data/TrainingData/pickled_generated_sets",'wb'))
pca_dat = pca_face_set.generate_sets()
pickle.dump(pca_dat, open("data/TrainingData/pickled_generated_sets_pca",'wb'))
pickle.dump(pca, open("data/TrainingData/pcamapping.dat", 'wb'))
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"quality_score": 0.9905896656814426,
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# 1/usr/bin/env python3
# Sending data over a stream but delimited as length-prefixed blocks
import socket
import struct
header_struct = struct.Struct('!I') # message upto 2 ^ 32 -1 in length
def recvall(sock, length):
blocks = []
while length:
block = sock.recv(length)
if not block:
raise EOFError('Socket closed with {} bytes left'.format(length))
length -= len(block)
blocks.append(block)
return b''.join(blocks)
def get_blocks(sock):
data = recvall(sock, header_struct.size)
(block_length, ) = header_struct.unpack(data)
return recvall(sock, block_length)
def put_blocks(sock, message):
block_length = len(message)
sock.send(header_struct.pack(block_length))
sock.send(message)
def server(address):
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
sock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
sock.bind(address)
sock.listen(1)
print('Run this script in another window with -c option to connect')
print('Listening at', sock.getsockname())
sc, sockname = sock.accept()
print('Accepted connection from', sockname)
sock.shutdown(socket.SHUT_WR)
while True:
block = get_blocks(sc)
if not block:
break
print('Block says:', repr(block))
sc.close()
sock.close()
def client(address):
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
sock.connect(address)
sock.shutdown(socket.SHUT_RD)
put_blocks(sock, b'Beautiful is better than ugly.')
put_blocks(sock, b'Explicit is better than implicit')
put_blocks(sock, b'Simple is better than complex')
put_blocks(sock, b'')
sock.close()
if __name__ == '__main__':
import argparse
parser = argparse.ArgumentParser(
description='Transmit and Receive blocks over TCP')
parser.add_argument('hostname', nargs='?', default='127.0.0.1',
help='IP address or hostname (default: %(default)s)')
parser.add_argument('-c', action='store_true', help='run as client')
parser.add_argument('-p', type=int, metavar='port', default=1060,
help='TCP port number (default: %(default)s')
args = parser.parse_args()
function = client if args.c else server
function((args.hostname, args.p))
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"line_mean": 30.5,
"line_max": 77,
"alpha_frac": 0.6469326469,
"autogenerated": false,
"ratio": 3.6708661417322834,
"config_test": false,
"has_no_keywords": false,
"few_assignments": false,
"quality_score": 0.9817798788632284,
"avg_score": 0,
"num_lines": 74
} |
# 1/usr/bin/env python3
# UDP client and server for broadcast messages on a local LAN
import socket
BUFFSIZE = 65535
def server(interface, port):
sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
sock.bind((interface, port))
print("listening for datagrams at {}".format(sock.getsockname()))
while True:
data, address = sock.recvfrom(BUFFSIZE)
text = data.decode('ascii')
print('The client at {} says {!r}'.format(address, text))
def client(network, port):
sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
sock.setsockopt(socket.SOL_SOCKET, socket.SO_BROADCAST, 1)
text = 'Broadcast Datagram!'
sock.sendto(text.encode('ascii'), (network, port))
if __name__ == '__main__':
import argparse
choices = {'server': server, 'client': client}
parser = argparse.ArgumentParser(description='Send/Receive UDP broadcast')
parser.add_argument('role', choices=choices, help='which role to take')
parser.add_argument(
'host', help='interface the server listens at, network the client connects to')
parser.add_argument('-p', metavar='PORT', type=int,
default=1060, help='UDP port(default 1060)')
args = parser.parse_args()
function = choices[args.role]
function(args.host, args.p)
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"autogenerated": false,
"ratio": 3.7082152974504248,
"config_test": false,
"has_no_keywords": false,
"few_assignments": false,
"quality_score": 0.9872073101014798,
"avg_score": 0.0003071253071253071,
"num_lines": 37
} |
#1/usr/bin/env python
from mechanize import Browser
from BeautifulSoup import BeautifulSoup
outfile = open("artscraper.txt", "w")
mech = Browser()
url = "http://www.jerseyarts.com/OnlineGuide.aspx?searchType=advanced&searchTerm=D%3ad7%3bR%3ar1%2cr2%2cr3%2cr4%3bSp%3a0%3bGc%3a0%3bF%3a0"
page = mech.open(url)
html = page.read()
soup = BeautifulSoup(html)
for row in soup.findAll('table', {"class" : "GuideResultInfoWrapper"}):
name = row.find('div', {"class" : "GuideResultListingName"}).a.string
street = row.find('div', {"class" : "GuideResultAddress"}).span.string
city = street.findNext('span').string
record = (name, street, city)
print >> outfile, "; ".join(record)
outfile.close()
# a sample of the html structure of the website
# <div id="ctl00_wpmSiteWide_gwpGuideSearchResults1_GuideSearchResults1_rptSearchResults_ctl01_pnlOrgInfo" class="GuideResultAlternateRow">
# <table cellpadding="0" cellspacing="0" border="0" class="GuideResultInfoWrapper">
# <tr>
# <td style="text-align:center;width:113px;">
# <a id="ctl00_wpmSiteWide_gwpGuideSearchResults1_GuideSearchResults1_rptSearchResults_ctl01_lnkGuideDetailFromImage" title='View details for "Artists&squot; Gallery"' href="GuideDetail.aspx?listingID=665dd1b1-7386-4479-aa10-d9073108afa5">
## <img id="ctl00_wpmSiteWide_gwpGuideSearchResults1_GuideSearchResults1_rptSearchResults_ctl01_imgOrgImage" src="FileHandlers/orgImageThumb.ashx?listingID=665dd1b1-7386-4479-aa10-d9073108afa5" style="border-width:0px;" />
# </a>
# </td>
# <td>
# <div class="GuideResultListingName">
## Artists' Gallery
# </a>
# </div>
# <div class="GuideResultAddress">
# <span id="ctl00_wpmSiteWide_gwpGuideSearchResults1_GuideSearchResults1_rptSearchResults_ctl01_lblAddress">
## 18 Bridge Street
# </span>
# <br />
# <span id="ctl00_wpmSiteWide_gwpGuideSearchResults1_GuideSearchResults1_rptSearchResults_ctl01_lblCitySateZip">
# Lambertville, NJ 08530
# </span>
# </div>
## <div>
# <span id="ctl00_wpmSiteWide_gwpGuideSearchResults1_GuideSearchResults1_rptSearchResults_ctl01_lblDescription">
# <span id="ctl00_wpmSiteWide_gwpGuideSearchResults1_GuideSearchResults1_rptSearchResults_ctl01_lblDescription" class="GuideResultDescription">
# Artists' Gallery is a partnership of eighteen professional visual artists who cooperatively administer, staff and exhibit
## <a href="GuideDetail.aspx?listingID=665dd1b1-7386-4479-aa10-d9073108afa5" title="View Event Details">
# ...more
# </a>
# </span>
# </span>
# </div>
# </td>
# <td align="right" valign="top">
# </td>
# </tr>
# </table>
# </div>
| {
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#1/usr/bin/env python
#mechanize acts as an browser to collect html response
from mechanize import Browser
#beautifulsoup lets you strip out the html and parse it through its tree
from BeautifulSoup import BeautifulSoup
#csvkit allows you to output to a csv file easily
from csvkit.unicsv import UnicodeCSVWriter
#re handles regular expressions
import re
#open a csvfile to write to it, set a delimiter and write the header row
outfile = open("sitesdirt.csv", "w")
w = UnicodeCSVWriter(outfile,delimiter=",",encoding="Cp1252")
w.writerow(['name','url'])
mech = Browser()
url = "http://www.state.nj.us/nj/govinfo/county/localgov.html"
page = mech.open(url)
html = page.read()
soup = BeautifulSoup(html)
#look for the section with the id anchorSection, this is the main body of the url listings
for row in soup.findAll('div', {"id" : "anchorSection"}):
#ignore the rows with anchor tags without an href tag
for anchor in row.findAll('a', href=True):
name = anchor.string
#give me whatever is in the href call, the actual url of the link
url = anchor['href'].decode()
record = (name, url)
w.writerow(record)
outfile.close()
#now add a re parser to clean it up for import, stripping out the empty anchors without town names
infile = open("sitesdirt.csv", "r")
outfile = open("townsites.csv", "w")
for line in infile:
#keep the header row
if re.match("name,url", line):
print >> outfile,line,
if re.findall(".http:", line):
print >> outfile,line,
infile.close()
outfile.close() | {
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"ratio": 3.5354691075514872,
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"has_no_keywords": false,
"few_assignments": false,
"quality_score": 0.4746795968351487,
"avg_score": null,
"num_lines": null
} |
#1/usr/bin/env python
import sys
import re
CHROM=0
POS=1
INFO=7
GT=9
def main():
if len(sys.argv) == 1:
vcf_file = sys.stdin
else:
vcf_file = open(sys.argv[1])
file_out = sys.stdout
file_out.write("Chrom\tPos\tAF\tMQ\tGT\tEffect\tImpact\tGene_name\n")
for line in vcf_file:
if line.lstrip()[0] != "#":
file_out.write(extract_fields(line))
def extract_fields(line):
fields = line.rstrip("\n").split("\t")
new_line = "\t".join( (fields[CHROM],fields[POS]))
new_line += "\t"+ extract_AF(fields[INFO])
new_line += "\t"+ extract_MQ(fields[INFO])
new_line += "\t"+ extract_GT(fields[GT])
new_line += "\t"+ "\t".join(extract_effect(fields[INFO]))
return new_line+"\n"
def extract_GT(field_gt):
comma_pos = field_gt.find(":")
return field_gt[:comma_pos]
def extract_AF(field_info):
af_pos = field_info.find("AF=")
af_semicolon = field_info.find(";",af_pos)
return field_info[af_pos+3:af_semicolon]
def extract_MQ(field_info):
mq_pos = field_info.find("MQ=")
mq_semicolon = field_info.find(";",mq_pos)
return field_info[mq_pos+3:mq_semicolon]
def extract_effect(field_info):
eff_pos = field_info.find("EFF=")
result = ["-"] *3
if eff_pos > -1:
eff_semicolon = field_info.find(";",eff_pos)
effect_line = field_info[eff_pos+4:eff_semicolon]
eff_name_delim = effect_line.find("(")
eff_name = effect_line[:eff_name_delim]
eff_fields = effect_line[eff_name_delim+1:-1].split("|")
result = (eff_name,eff_fields[0],eff_fields[5])
return result
if __name__ == "__main__":
main()
| {
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"few_assignments": false,
"quality_score": 0.3612303002158065,
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1#!/usr/bin/env python
try:
from setuptools import setup, find_packages
except ImportError:
from distutils.core import setup
version = '0.9.6'
setup(name='mi-instrument',
version=version,
description='OOINet Marine Integrations',
url='https://github.com/oceanobservatories/mi-instrument',
license='BSD',
author='Ocean Observatories Initiative',
author_email='contactooici@oceanobservatories.org',
keywords=['ooici'],
packages=find_packages(),
package_data={
'': ['*.yml'],
'mi.platform.rsn': ['node_config_files/*.yml'],
},
dependency_links=[
],
test_suite='pyon',
entry_points={
'console_scripts': [
'run_driver=mi.core.instrument.wrapper:main',
'playback=mi.core.instrument.playback:main',
'analyze=mi.core.instrument.playback_analysis:main',
'oms_extractor=mi.platform.rsn.oms_extractor:main',
'shovel=mi.core.shovel:main',
'oms_aa_server=mi.platform.rsn.oms_alert_alarm_server:main',
'zplsc_echogram=mi.dataset.driver.zplsc_c.zplsc_echogram_generator:main',
],
},
)
| {
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"path": "setup.py",
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"size": "1215",
"license": "bsd-2-clause",
"hash": 983015008068370800,
"line_mean": 31.8378378378,
"line_max": 87,
"alpha_frac": 0.6024691358,
"autogenerated": false,
"ratio": 3.5319767441860463,
"config_test": false,
"has_no_keywords": true,
"few_assignments": false,
"quality_score": 0.4634445879986046,
"avg_score": null,
"num_lines": null
} |
#1/usr/bin/env python
# rss locker
filetypes_you_want = ".jpg .png .tiff .gif .jpeg .webp".split(" ")
def get_file_text(file_path):
# returns all text from a file.
# Warning this may block up scripts for long files.
with open(file_path,"r") as f:
return(str(f.read()))
def script_path(include_name=False):
from os import path
full_path = path.realpath(__file__)
if include_name:
return(full_path)
else:
full_path = "/".join( full_path.split("/")[0:-1] ) + "/"
return(full_path)
def grep(link):
from urllib2 import urlopen
return urlopen(link).read()
def check_if_link(s,req_http=True):
# Checks at the input is a legitimate link.
allowed_chars = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789-._~:/?#[]@!$&'()*+,;=%"
if req_http and "http" not in s:
return(False)
if "://" in s:
for i in s:
if i not in allowed_chars:
return(False)
return(True)
return(False)
def extract_links(url):
# extracts all links from a URL and returns them as a list
# by: Cody Kochmann
def grep(link):
try:
from urllib2 import urlopen
response = urlopen(link)
return(response.read())
except:
pass
def check_if_link(s,req_http=True):
# Checks at the input is a legitimate link.
allowed_chars = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789-._~:/?#[]@!$&'*+,;=%"
if req_http and "http" not in s:
return(False)
if "://" in s:
for i in s:
if i not in allowed_chars:
return(False)
return(True)
return(False)
c_links = []
link_being_built = ""
allowed_chars = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789-._~:/?#[]@!$&*+,;=%"
collected_html=grep(url)
if collected_html is not None:
for i in collected_html:
if i in allowed_chars:
link_being_built+=i
else:
if link_being_built not in c_links:
if check_if_link(link_being_built):
if ".html" not in link_being_built:
c_links.append(link_being_built)
link_being_built=""
return(c_links)
def collect_links(links):
collected_links=[]
output = []
for i in links:
for link in list(extract_links(i)):
correct = False
for t in filetypes_you_want:
if t in link:
correct = True
if correct:
output.append(link)
print(link)
return(output)
def list_dir(d):
from os import listdir
return(listdir(d))
def random_string():
import random
import string
return "".join([random.SystemRandom().choice(string.digits + string.letters) for i in range(16)])
def download_file(url):
from urllib2 import urlopen
file_n = url.split('/')[-1]
output_path = script_path()+"pictures/"
if "?" in file_n or len(file_n) > 30:
for i in filetypes_you_want:
if i in file_n:
file_n=random_string()+i
if file_n in list_dir(output_path):
print(file_n+" already downloaded")
return(False)
print("downloading: "+file_n)
response = urlopen(url)
data = response.read()
with open(output_path+file_n, "w") as f:
f.write(data)
print("finished: "+file_n)
def multithreaded_process(arg_list, run_process, max_threads=4):
# runs arg_list through run_process multithreaded
from multiprocessing import Pool
pool = Pool(max_threads) # how much parallelism?
pool.map(run_process, arg_list)
feeds = get_file_text(script_path()+"feed_urls.txt").split("\n")
for i in list(feeds):
if check_if_link(i) is False:
feeds.remove(i)
target_files = collect_links(feeds)
multithreaded_process(target_files, download_file)
| {
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"path": "run.py",
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"size": "4096",
"license": "mit",
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"line_mean": 30.5076923077,
"line_max": 109,
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"autogenerated": false,
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"config_test": false,
"has_no_keywords": false,
"few_assignments": false,
"quality_score": 0.47797250056362317,
"avg_score": null,
"num_lines": null
} |
# 1. WAP to create and merge two list and then sort it wihtout function sort
# 2. WAP to create list of number and sort even numbers using LIST COMPREHENSION
# 3. WAP to calculate number of uppercase and lowercase from input string.
l1=[]
l2=[]
a=int(input("Enter number of elements you want to enter in list 1: "))
b=int(input("Enter number of elements you want to enter in list 2: "))
for i in range(a):
x=int(input("Enter List Element: "))
l1.append(x)
for i in range(b):
x=int(input("Enter List Element: "))
l2.append(x)
l1.extend(l2)
m=[]
for i in range (len(l1)):
m.append(min(l1))
l1.remove(min(l1))
m.extend(l1)
print(m,end=" ")
print("is your sorted list")
#P2
l=[]
a=int(input("Number of elements in the list: "))
for i in range(a):
x=int(input("Enter List Element: "))
l.append(x)
lee=[i for i in l if i%2==0]
print("List of your even numbers is={evenlist}".format(evenlist=lee))
#P3
s=input("Enter any word string: ")
cu=0
cl=0
for i in s:
if i.isupper():
cu=cu+1
else:
cl=cl+1
print("Number of lower case:",cl)
print("Number of upper case:",cu)
| {
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"has_no_keywords": false,
"few_assignments": false,
"quality_score": 0.4048343518229412,
"avg_score": null,
"num_lines": null
} |
# 1) What is a recursive function?
# A function calls itself, meaning it will repeat itself when a certain line or a code is called.
# 2) What happens if there is no base case defined in a recursive function?
#It will recurse infinitely and maybe you will get an error that says your maximum recursion is reached.
# 3) What is the first thing to consider when designing a recursive function?
# You have to consider what the base case(s) are going to be because that is when and how your function will end and return something.
# 4) How do we put data into a function call?
# We put data into a function call by using parameters.
# 5) How do we get data out of a function call?
# We get data out of a function call by using parameters.
#a1 = 8
#a2 = 8
#a3 = -1
#b1 = 2
#b2 = 2
#b3 = 4
#c1 = -2
#c2 = 4
#c3 = 45
#d1 = 6
#d2 = 8
#d3 = 4
#Programming
#Write a script that asks the user to enter a series of numbers.
#When the user types in nothing, it should return the average of all the odd numbers that were typed in.
#In your code for the script, add a comment labeling the base case on the line BEFORE the base case.
#Also add a comment label BEFORE the recursive case.
#It is NOT NECESSARY to print out a running total with each user input.
def avg_odd_numbers(sum_n=0, odd_n=0):
n = raw_input("Next number: ")
#Base Case
if n == "":
return "The average of all the odd numbers are {}".format(sum_n/odd_n)
#Recursive Case
else:
if float(n) % 2 == 1:
return avg_odd_numbers(sum_n + float(n), odd_n + 1)
else:
return avg_odd_numbers(sum_n, odd_n)
print avg_odd_numbers()
| {
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from micropython import const
import _onewire as _ow
class OneWireError(Exception):
pass
class OneWire:
SEARCH_ROM = const(0xf0)
MATCH_ROM = const(0x55)
SKIP_ROM = const(0xcc)
def __init__(self, pin):
self.pin = pin
self.pin.init(pin.OPEN_DRAIN, pin.PULL_UP)
def reset(self, required=False):
reset = _ow.reset(self.pin)
if required and not reset:
raise OneWireError
return reset
def readbit(self):
return _ow.readbit(self.pin)
def readbyte(self):
return _ow.readbyte(self.pin)
def readinto(self, buf):
for i in range(len(buf)):
buf[i] = _ow.readbyte(self.pin)
def writebit(self, value):
return _ow.writebit(self.pin, value)
def writebyte(self, value):
return _ow.writebyte(self.pin, value)
def write(self, buf):
for b in buf:
_ow.writebyte(self.pin, b)
def select_rom(self, rom):
self.reset()
self.writebyte(MATCH_ROM)
self.write(rom)
def scan(self):
devices = []
diff = 65
rom = False
for i in range(0xff):
rom, diff = self._search_rom(rom, diff)
if rom:
devices += [rom]
if diff == 0:
break
return devices
def _search_rom(self, l_rom, diff):
if not self.reset():
return None, 0
self.writebyte(SEARCH_ROM)
if not l_rom:
l_rom = bytearray(8)
rom = bytearray(8)
next_diff = 0
i = 64
for byte in range(8):
r_b = 0
for bit in range(8):
b = self.readbit()
if self.readbit():
if b: # there are no devices or there is an error on the bus
return None, 0
else:
if not b: # collision, two devices with different bit meaning
if diff > i or ((l_rom[byte] & (1 << bit)) and diff != i):
b = 1
next_diff = i
self.writebit(b)
if b:
r_b |= 1 << bit
i -= 1
rom[byte] = r_b
return rom, next_diff
def crc8(self, data):
return _ow.crc8(data)
| {
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"path": "drivers/onewire/onewire.py",
"copies": "22",
"size": "2432",
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"autogenerated": false,
"ratio": 3.7300613496932513,
"config_test": false,
"has_no_keywords": false,
"few_assignments": false,
"quality_score": 1,
"avg_score": null,
"num_lines": null
} |
from micropython import const
import _onewire as _ow
class OneWireError(Exception):
pass
class OneWire:
SEARCH_ROM = const(0xF0)
MATCH_ROM = const(0x55)
SKIP_ROM = const(0xCC)
def __init__(self, pin):
self.pin = pin
self.pin.init(pin.OPEN_DRAIN, pin.PULL_UP)
def reset(self, required=False):
reset = _ow.reset(self.pin)
if required and not reset:
raise OneWireError
return reset
def readbit(self):
return _ow.readbit(self.pin)
def readbyte(self):
return _ow.readbyte(self.pin)
def readinto(self, buf):
for i in range(len(buf)):
buf[i] = _ow.readbyte(self.pin)
def writebit(self, value):
return _ow.writebit(self.pin, value)
def writebyte(self, value):
return _ow.writebyte(self.pin, value)
def write(self, buf):
for b in buf:
_ow.writebyte(self.pin, b)
def select_rom(self, rom):
self.reset()
self.writebyte(MATCH_ROM)
self.write(rom)
def scan(self):
devices = []
diff = 65
rom = False
for i in range(0xFF):
rom, diff = self._search_rom(rom, diff)
if rom:
devices += [rom]
if diff == 0:
break
return devices
def _search_rom(self, l_rom, diff):
if not self.reset():
return None, 0
self.writebyte(SEARCH_ROM)
if not l_rom:
l_rom = bytearray(8)
rom = bytearray(8)
next_diff = 0
i = 64
for byte in range(8):
r_b = 0
for bit in range(8):
b = self.readbit()
if self.readbit():
if b: # there are no devices or there is an error on the bus
return None, 0
else:
if not b: # collision, two devices with different bit meaning
if diff > i or ((l_rom[byte] & (1 << bit)) and diff != i):
b = 1
next_diff = i
self.writebit(b)
if b:
r_b |= 1 << bit
i -= 1
rom[byte] = r_b
return rom, next_diff
def crc8(self, data):
return _ow.crc8(data)
| {
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"path": "drivers/onewire/onewire.py",
"copies": "1",
"size": "2436",
"license": "mit",
"hash": -9059079040850688000,
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"line_max": 82,
"alpha_frac": 0.4913793103,
"autogenerated": false,
"ratio": 3.719083969465649,
"config_test": false,
"has_no_keywords": false,
"few_assignments": false,
"quality_score": 0.47104632797656487,
"avg_score": null,
"num_lines": null
} |
import _onewire as _ow
class OneWireError(Exception):
pass
class OneWire:
SEARCH_ROM = 0xF0
MATCH_ROM = 0x55
SKIP_ROM = 0xCC
def __init__(self, pin):
self.pin = pin
self.pin.init(pin.OPEN_DRAIN, pin.PULL_UP)
def reset(self, required=False):
reset = _ow.reset(self.pin)
if required and not reset:
raise OneWireError
return reset
def readbit(self):
return _ow.readbit(self.pin)
def readbyte(self):
return _ow.readbyte(self.pin)
def readinto(self, buf):
for i in range(len(buf)):
buf[i] = _ow.readbyte(self.pin)
def writebit(self, value):
return _ow.writebit(self.pin, value)
def writebyte(self, value):
return _ow.writebyte(self.pin, value)
def write(self, buf):
for b in buf:
_ow.writebyte(self.pin, b)
def select_rom(self, rom):
self.reset()
self.writebyte(self.MATCH_ROM)
self.write(rom)
def scan(self):
devices = []
diff = 65
rom = False
for i in range(0xFF):
rom, diff = self._search_rom(rom, diff)
if rom:
devices += [rom]
if diff == 0:
break
return devices
def _search_rom(self, l_rom, diff):
if not self.reset():
return None, 0
self.writebyte(self.SEARCH_ROM)
if not l_rom:
l_rom = bytearray(8)
rom = bytearray(8)
next_diff = 0
i = 64
for byte in range(8):
r_b = 0
for bit in range(8):
b = self.readbit()
if self.readbit():
if b: # there are no devices or there is an error on the bus
return None, 0
else:
if not b: # collision, two devices with different bit meaning
if diff > i or ((l_rom[byte] & (1 << bit)) and diff != i):
b = 1
next_diff = i
self.writebit(b)
if b:
r_b |= 1 << bit
i -= 1
rom[byte] = r_b
return rom, next_diff
def crc8(self, data):
return _ow.crc8(data)
| {
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from micropython import const
import _onewire as _ow
class OneWireError(Exception):
pass
class OneWire:
SEARCH_ROM = const(0xf0)
MATCH_ROM = const(0x55)
SKIP_ROM = const(0xcc)
def __init__(self, pin):
self.pin = pin
self.pin.init(pin.OPEN_DRAIN)
def reset(self, required=False):
reset = _ow.reset(self.pin)
if required and not reset:
raise OneWireError
return reset
def readbit(self):
return _ow.readbit(self.pin)
def readbyte(self):
return _ow.readbyte(self.pin)
def readinto(self, buf):
for i in range(len(buf)):
buf[i] = _ow.readbyte(self.pin)
def writebit(self, value):
return _ow.writebit(self.pin, value)
def writebyte(self, value):
return _ow.writebyte(self.pin, value)
def write(self, buf):
for b in buf:
_ow.writebyte(self.pin, b)
def select_rom(self, rom):
self.reset()
self.writebyte(MATCH_ROM)
self.write(rom)
def scan(self):
devices = []
diff = 65
rom = False
for i in range(0xff):
rom, diff = self._search_rom(rom, diff)
if rom:
devices += [rom]
if diff == 0:
break
return devices
def _search_rom(self, l_rom, diff):
if not self.reset():
return None, 0
self.writebyte(SEARCH_ROM)
if not l_rom:
l_rom = bytearray(8)
rom = bytearray(8)
next_diff = 0
i = 64
for byte in range(8):
r_b = 0
for bit in range(8):
b = self.readbit()
if self.readbit():
if b: # there are no devices or there is an error on the bus
return None, 0
else:
if not b: # collision, two devices with different bit meaning
if diff > i or ((l_rom[byte] & (1 << bit)) and diff != i):
b = 1
next_diff = i
self.writebit(b)
if b:
r_b |= 1 << bit
i -= 1
rom[byte] = r_b
return rom, next_diff
def crc8(self, data):
return _ow.crc8(data)
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"path": "esp8266/modules/onewire.py",
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"size": "2430",
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"quality_score": 1,
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} |
import _onewire as _ow
class OneWireError(Exception):
pass
class OneWire:
SEARCH_ROM = const(0xf0)
MATCH_ROM = const(0x55)
SKIP_ROM = const(0xcc)
def __init__(self, pin):
self.pin = pin
self.pin.init(pin.OPEN_DRAIN)
def reset(self):
return _ow.reset(self.pin)
def readbit(self):
return _ow.readbit(self.pin)
def readbyte(self):
return _ow.readbyte(self.pin)
def read(self, count):
buf = bytearray(count)
for i in range(count):
buf[i] = _ow.readbyte(self.pin)
return buf
def writebit(self, value):
return _ow.writebit(self.pin, value)
def writebyte(self, value):
return _ow.writebyte(self.pin, value)
def write(self, buf):
for b in buf:
_ow.writebyte(self.pin, b)
def select_rom(self, rom):
self.reset()
self.writebyte(MATCH_ROM)
self.write(rom)
def scan(self):
devices = []
diff = 65
rom = False
for i in range(0xff):
rom, diff = self._search_rom(rom, diff)
if rom:
devices += [rom]
if diff == 0:
break
return devices
def _search_rom(self, l_rom, diff):
if not self.reset():
return None, 0
self.writebyte(SEARCH_ROM)
if not l_rom:
l_rom = bytearray(8)
rom = bytearray(8)
next_diff = 0
i = 64
for byte in range(8):
r_b = 0
for bit in range(8):
b = self.readbit()
if self.readbit():
if b: # there are no devices or there is an error on the bus
return None, 0
else:
if not b: # collision, two devices with different bit meaning
if diff > i or ((l_rom[byte] & (1 << bit)) and diff != i):
b = 1
next_diff = i
self.writebit(b)
if b:
r_b |= 1 << bit
i -= 1
rom[byte] = r_b
return rom, next_diff
def crc8(self, data):
return _ow.crc8(data)
class DS18B20:
CONVERT = const(0x44)
RD_SCRATCH = const(0xbe)
WR_SCRATCH = const(0x4e)
def __init__(self, onewire):
self.ow = onewire
def scan(self):
return [rom for rom in self.ow.scan() if rom[0] == 0x28]
def convert_temp(self):
if not self.ow.reset():
raise OneWireError
self.ow.writebyte(SKIP_ROM)
self.ow.writebyte(CONVERT)
def read_scratch(self, rom):
if not self.ow.reset():
raise OneWireError
self.ow.select_rom(rom)
self.ow.writebyte(RD_SCRATCH)
buf = self.ow.read(9)
if self.ow.crc8(buf):
raise OneWireError
return buf
def write_scratch(self, rom, buf):
if not self.ow.reset():
raise OneWireError
self.ow.select_rom(rom)
self.ow.writebyte(WR_SCRATCH)
self.ow.write(buf)
def read_temp(self, rom):
buf = self.read_scratch(rom)
return (buf[1] << 8 | buf[0]) / 16
| {
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"quality_score": 1,
"avg_score": 0.0017852062405328904,
"num_lines": 127
} |
# 1. Write a function called common_end() that takes two lists.
# It will return True if the two lists either have the same
# first element, the same LAST element, or both.
# common_end([1,2,3], [7,3]) ---> True
# common_end([1,2,3], [7,3,2]) ---> False
# common_end([1,2,3], [1,7]) ---> True
def common_end(list1, list2):
if list1[0] == list2[0]:
return True
elif list1[-1] == list2[-1]:
return True
else:
return False
# 2. Write a function called list_product() that takes a list.
# It returns the product of all the numbers in the list.
# list_product([1,2,3,4,5]) ---> 120
# list_product([8,4,3]) ---> 96
# list_product([120, 57, 98, 0, 12]) ---> 0
def list_product(num_list):
total = 1
for number in num_list:
total *= number
return total
# 3. Write a function called rotate_left() that takes a list
# and rotates all the elements in the list one space to
# the left (Hint: no loop necessary!)
#
# rotate_left([1,2,3]) ---> [2,3,1]
# rotate_left(['this', 'is', 'a', 'sentence']) --->
# ['is', 'a', 'sentence', 'this']
def rotate_left(lst):
first = lst.pop(0) #Defaults to LAST ENTRY IN LIST
lst.append(first)
return lst
# 4. Write a function called count_evens() that takes a list
# of numbers and returns the count of the number of even
# numbers in that list. Hint: To see if a number is even,
# check if the remainder when dividing by 2 is 0...x%2==0
# count_evens([2,1,2,3,4]) ---> 3
# count_evens([1,3,5,7,9]) ---> 0
# count_evens([2,4,6,8,10,12]) ---> 6
def count_evens(num_list):
count = 0
for number in num_list:
if number % 2 == 0:
count += 1
return count
# 5. Write a function called list_range() that takes a list
# of numbers and returns the range of the list, which is
# the largest number minus the smallest number.
# Hint: You can do this with a for loop, but there's actually
# a built in way to get the largest or smallest number in
# a list...try Googling!
# list_range([10, 3, 5, 4, 6]) ---> 7
# list_range([7,2,10, 9)] ---> 8
# list_range([2, 10, 7, 2]) ---> 8
# list_range([]) ---> 0
#No Google
def list_range(num_list):
num_list.sort()
if num_list == []:
return 0
return num_list[-1] - num_list[0]
#Using Google
def list_range2(num_list):
if num_list == []:
return 0
return max(num_list) - min(num_list)
# 6. Write a function called no_a() that takes a list
# of words and returns a new list that contains only
# the words that DON'T have an 'a' in them.
# no_a(['apple', 'banana', 'grape', 'kiwi', 'mango', 'coconut'])
# ---> ['kiwi', 'coconut']
# no_a(['Africa', 'Europe', 'Asia', 'Antarctica', 'South America', 'North America', 'Australia']
# ---> ['Europe']
#My version
def no_a(lst):
no_a_list = []
for word in lst:
original_word = word
word = word.lower()
num_a = word.count('a')
if num_a == 0:
no_a_list.append(original_word)
return no_a_list
#The official version
def no_a2(lst):
new_list = []
for word in lst:
if 'a' not in word.lower():
new_list.append(word)
return new_list
# CHALLENGE: Write a function called has_duplicates()
# that takes a list and returns True if there is ANY
# element in the list that repeats.
def no_duplicates(lst):
for entry in lst:
if lst.count(entry) > 1:
return False
return True
| {
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"path": "intro/list_and_for_loop_assignment.py",
"copies": "1",
"size": "3707",
"license": "mit",
"hash": -3739872054988869600,
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"line_max": 96,
"alpha_frac": 0.5600215808,
"autogenerated": false,
"ratio": 3.0211898940505297,
"config_test": false,
"has_no_keywords": false,
"few_assignments": false,
"quality_score": 0.9043759556197444,
"avg_score": 0.007490383730617145,
"num_lines": 160
} |
# A flexible object to redirect standard output and standard error
# Allows logging to a file and to set a level of verbosity
# Copyright Michael Foord, 2004.
# Released subject to the BSD License
# Please see http://www.voidspace.org.uk/python/license.shtml
# For information about bugfixes, updates and support, please join the Pythonutils mailing list.
# http://groups.google.com/group/pythonutils/
# Comments, suggestions and bug reports welcome.
# Scripts maintained at http://www.voidspace.org.uk/python/index.shtml
# E-mail fuzzyman@voidspace.org.uk
"""
StandOut - the Flexible Output Object (FOO !)
Adds optional logging to a file and setting of verbosity levels to the stdout stream
This means that, for the most part, standard print statments can be used throughout
your program and StandOut handles the rest.
Your user can choose a 'verbosity' level (how much information they want to receive), you give your messages
a priority level, and only messages with a high enough priority are actually displayed.
A simple way of implementing varying degrees of verbosity.
Additionally the output can be captured to a log file with no extra work.
(simply pass in a filename when you craete the object and anything printed is sent to the file as well)
StandOut can now be used with sys.stderr as well as sys.stdout.
This includes logging both sys.stdout *and* sys.stderr to the same file.
See the sys.stderr section at the bottom of this.
SIMPLE USAGE
(also see the tests which illustrate usage).
stout = StandOut(verbosity=verbositylevel)
or to log to a file :
stout = StandOut(filename='log.txt')
The verbosity level can be changed at any time by setting stout.verbosity :
stout.verbosity = 6
The priority of messages defaults to 5. This can be changed by setting
stout.priority = 6 *or*
print '&priority-6;'
The priority of an individual line can be set by *starting* the line with a priority marker :
print '&priority-6;This text has a priority 6.'
*or* by using the stout.write() method with a priority value:
stout.write('This text has a priority 6.\n', 6)
(notice you must add the '\n' when using the stout.write method.)
Only messages with a priority equal to or greater than the current verbosity level will be printed.
e.g. if stout.verbosity = 6
(or the stout object was created using stout=StandOut(verbosity=6) )
Only messages with a priority of 6 or above will be printed.
stout.write('This won't get printed\n, 5)
print '&priority-4;Nor will this'
stout.write('But this will\n', 6)
print '&priority-7;And so will this'
If for *any* reason you want to *actually* print a '&priority-n' marker at the start of a line
then you can escape it with a '&priority-e;' :
print '&priority-e;&priority-1;'
will actually print :
&priority-1;
StandOut will log to a file as well.
Set this by passing in a filename=filename keyword when you create the object *or* by setting stout.filename at any time.
The file has it's own priority, stout.file_verbosity.
Again this can be set when the object is created and/or changed at any time. See the full docs below.
This means your user can set a verbosity level (at the command line probably), you give each message a priority
setting and just use normal print statements in your program.
Only messages above your user's setting are actually displayed.
You can also set the log file to have a different priority threshhold to what is printed to the screen.
(So either less or more is logged to the file than is displayed at runtime.)
You can also pass in another function which can be used to display messages with (e.g. to a GUI window or whatever).
It also has it's own priority setting.
Any output method can be silenced by setting it to 0
All output can be silenced by setting the priority to 0
The stdout stream can be restored and any log file closed by calling stout.close()
verbosity = 1 is the highest
verbosity = 9 is the lowest (only messages of priority 9 are printed)
verbosity = 0 is special - it switches off printing altogether
LIST OF KEYWORDS AND METHODS
StandOut Possible keyword arguments (with defaults shown) are :
(The following keywords also map to attributes of the StandOut object which can be read or set)
priority = 5
verbosity = 5
filename = None
file_verbosity = 5
file_mode = 'w'
print_fun = None
printfun_verbosity = 5
Keyword arguments should either be passed in as a dictionary *or* as keywords when the object is created.
If a dictionary is passed in, any other keywords will be ignored.
Any missing keywords will use the defaults.
Methods ( stout = StandOut() ):
stout.close()
stout.write(line, priority)
stout.set_print(function)
stout.setall(verbosity)
the original stdout can be reached using :
stout.output.write()
**NOTE** normal print statements make two calls to stdout.write(). Once for the text you are printing and another for the
trailing '\n' or ' '. StandOut captures this to make sure the trailing '\n' or ' ' is printed at the same priority
as the original line. This means you shouldn't use stout.write(line) where line uses the '&priority-n;' markers.
(Because stout.write(line) only makes one call, not two).
Either call stout.write(line, priority) to set a priority for that line.
*or* set stout.priority directly.
EXPLANATION OF KEYWORDS AND METHODS
priority = 5
This sets the priority for messages.
If priority is 5 - then only output methods with a 'verbosity' of 5 or lower will display them.
This value can later be set by adjusting the stout.priority attribute or using the priority markers.
verbosity = 5
This is the verbosity level for messages to be printed to the screen.
If the verbosity is 5 then only messages with a priority of 5 or higher will be sent to the screen.
(Like a normal print statement).
You can nadjust this at stout.verbosity
filename = None
If you pass in a filename when you create the object it will be used as a logfile.
It has it's own 'verbosity' level called 'file_verbosity'.
If you don't pass in a filename, you can later add one by setting stout.filename
Changing stout.filename after you have already set one is a bad thing to do :-)
file_verbosity = 5
This is the verbosity level of the log file.
Only messages with a priority higher than this will be sent to the logfile.
print_fun = None
If you pass in a function (that takes one parameter - the line to be printed) this will be used to print as well.
The function *isn't* stored at stout.print_fun - this value is just set to True to say we have a function.
This could be used for displaying to the output window of a GUI, for example.
If you want to pass in a function after obect creation then use the stout.set_print(function) method.
You musn't have print statements in your function or you will get stuck in a loop (call stout.output.write(line) instead)
printfun_verbosity = 5
Any function you pass in also has it's own verbosity setting - printfun_verbosity.
stream = 'output'
By default StandOut will divert the sys.stdout stream. Set to 'error' to divert the sys.stderr
share = False
You can divert both sys.stdout and sys.stderr. You can log both to the same file.
Set a filename for your sys.stdout object and set share = True for your sys.stderr object.
Any lines sent to sys.stderr will have a prefix attached to them. See 'error_marker'
error_marker = '[err] '
This is the marker put before every line logged from sys.stderr.
It only applies if share is on - this means both streams are logged to the same file.
stout.close()
When your program has finished with the obejct it should call stout.close() which restores sy.stdout and
closes any logfile we have been using.
stout.write(line, priority)
This can be used as an alternative way of specifying a priority for an individual line.
It leaves stout.priority unaffected.
Any calls to stout.write must have '\n' at the end if you want it to end with a newline.
If you don't specify a priority then it behaves like sys.stdout.write would.
Don't use priority markers with this and method and you can't use priority = 0 (the priority setting will be ignored)
stout.set_print(function)
This is used to pass in an additional printing function after the object has been created.
stout.setall(verbosity)
Thisis a quick way of changing the verbosity for all three output methods.
Setting verbosity, file_verbosity or printfun_verbosity to 0 disables that ouput method.
Setting priority to 0 switches off all output.
If you want to print to stdout directly and bypass the stout object for any reason - it is saved at stout.output
Calls to stout.output.write(line) have the same effect that sys.stdout.write(line) would have had.
PRIORITY MARKERS
As well as directly setting stout.priority and using stout.write(line, priority)
You can set the priority of a individual line *or* change the general priority setting just using print statements.
This is using 'priority markers'.
print '&priority-n;' # sets the priority to n, where n is 0-9
print '&priority-n;The stuff to print' # sets the priority of just that line to n
If you actually want to print '&priority-n;' at the start of a line then you should escape it by putting '&priority-e;'
in front of it. '&priority-e;' can also be escaped in the same way !
Don't use priority markers if you are making direct calls to stout.write()
use stout.write(line, priority) to set the priority of an individual line
or alter stout.priority to adjust the general priority.
sys.stderr
StandOut can now be used to divert sys.stderr as well as sys.stdout.
To create an output object that does for sys.stderr *exactly* the same as we would do for sys.stdout use :
stout2 = StandOut(stream='error')
It can log to a file and has all the properties that we had for sys.stdout.
If you wanted to log to the *same* file as you are using for sys.stdout you *can't* just pass it the same filename.
The two objects would both try to have a write lock on the same file.
What you do is pass the 'share' keyword to the error object when you create it :
stout = StandOut(filename='log.txt')
stout2 = StandOut(stream='error', share=True)
Anything sent to sys.stdout *or* sys.stderr will now be logged in the 'log.txt' file.
Every line sent to sys.stderr will be prefixed with '[err] ' which is the default error marker.
You can adjust this with the 'error_marker' keyword.
stout2 = StandOut(stream='error', share=True, error_marker='**ERROR** ')
"""
__all__ = ['StandOut']
import sys
class StandOut:
stdout = None
stderr = None
def __init__(self, indict=None, **keywargs):
"""StandOut - the Flexible Output Object (FOO !)"""
if indict is None:
indict = {}
#
defaults = {
'priority': 5,
'verbosity': 5,
'filename': None,
'file_verbosity': 5,
'file_mode': 'w',
'print_fun': None,
'printfun_verbosity': 5 ,
'stream': 'output',
'share': False,
'error_marker': '[err] '
}
#
if not indict:
indict = keywargs
for value in defaults:
if not indict.has_key(value):
indict[value] = defaults[value]
#
if indict['stream'].lower() == 'error':
self.output = sys.stderr
sys.stderr = StandOut.stderr = self
self.stream = indict['stream'].lower()
else:
self.output = sys.stdout
sys.stdout = StandOut.stdout = self
self.stream = indict['stream'].lower()
self.filename = indict['filename']
if self.filename:
self.filehandle = file(self.filename, indict['file_mode'])
else:
self.filehandle = None
self.file_mode = indict['file_mode']
self.share = indict['share']
self.err_marker = indict['error_marker']
self.done_linefeed = True
self.priority = indict['priority'] # current message priority
self.file_verbosity = indict['file_verbosity'] # file output threshold
self.verbosity = indict['verbosity'] # stdout threshhold
self.printfun_verbosity = indict['printfun_verbosity'] # print_fun threshold
if indict['print_fun']: # set up the print_fun if we have been given one
self.print_fun = True
self.thefun = [indict['print_fun']]
else:
self.print_fun = False
self.markers = {}
for num in range(10): # define the markers
thismarker = '&priority-' + str(num) + ';'
self.markers[thismarker] = num
self.escapemarker = '&priority-e;'
self.skip = 0
self._lastpriority = 0
#########################################################################
# public methods - available as methods of any instance of StandOut you create
def write(self, line, priority = 0):
"""Print to any of the output methods we are using.
Capture lines which set priority."""
if self.skip: # if the last line was a priority marker then self.skip is set and we should miss the '\n' or ' ' that is sent next
self.skip = 0
return
if not priority:
if self._lastpriority: # if the last line had a priority marker at the start of it, then the '\n' or ' ' that is sent next should have the same priority
priority = self._lastpriority
self._lastpriority = 0
else:
priority = self.priority
if line in self.markers: # if the line is a priority marker
self.skip = 1 # either a '\n' or a ' ' will now be sent to sys.stdout.write() by print
self.priority = self.markers[line]
return
if line[:12] in self.markers: # if the line starts with a priority marker
priority = int(line[10]) # the priority of this line is at position 10
self._lastpriority = priority # set this value so that the '\n' or ' ' that follows also has the same priority
line = line[12:] # chop off the marker
elif line[:12] == self.escapemarker:
line = line[12:] # this just removes our 'escape marker'
if not priority: # if priority is set to 0 then we mute all output
return
if self.filename and not self.filehandle: # if a filename has been added since we opened
self.filehandle = file(self.filename, self.file_mode)
if self.filehandle and self.file_verbosity and priority >= self.file_verbosity: # if we have a file and file_verbosity is high enough to output
self.filehandle.write(line)
if self.verbosity and priority >= self.verbosity: # if verbosity is set high enough we print
if self.share and self.stream == 'error' and hasattr(StandOut.stdout, 'filename'): # if we are the error stream *and* share is on *and* stdout has a filename attribute..
if self.done_linefeed:
StandOut.stdout.filehandle.write(self.err_marker)
self.done_linefeed = False
if line.endswith('\n'):
self.done_linefeed = True
line = line[:-1]
line = line.replace('\n', '\n' + self.err_marker)
if self.done_linefeed:
line = line + '\n'
StandOut.stdout.filehandle.write(line) # if 'share' is on we log to stdout file as well as print
# StandOut.stdout.output.write('hello')
self.output.write(line)
# if we have a print function set and it's priority is high enough
if self.print_fun and self.printfun_verbosity and priority >= self.printfun_verbosity:
self.use_print(line)
def close(self):
"""Restore the stdout stream and close the logging file if it's open."""
if self.stream == 'error':
sys.stderr = self.output
else:
sys.stdout = self.output
if self.filename and self.filehandle:
self.filehandle.close()
del self.filehandle
def set_print(self, print_fun):
"""Set a new print_fun."""
self.print_fun = True
self.thefun = [print_fun]
def setall(self, verbosity):
"""Sets the verbosity level for *all* the output methods."""
self.verbosity = self.file_verbosity = self.printfun_verbosity = verbosity
def flush(self):
return self.output.flush()
def writelines(self, inline):
for line in inlines:
self.write(line)
def __getattr__(self, attribute):
if not self.__dict__.has_key(attribute) or attribute == '__doc__':
return getattr(self.output, attribute)
return self.__dict__[attribute]
##########################################################
# private methods, you shouldn't need to call these directly
def use_print(self, line):
"""A wrapper function for the function passed in as 'print_fun'."""
self.thefun[0](line)
if __name__ == '__main__':
test = StandOut()
print 'hello'
test.priority = 4
print "You shouldn't see this"
test.verbosity = 4
print 'You should see this'
test.priority = 0
print 'but not this'
test.write('And you should see this\n', 5)
print 'but not this'
test.filename = 'test.txt'
test.priority = 5
test.setall(5)
print 'This should go to the file test.txt as well as the screen.'
test.file_verbosity = 7
print '&priority-8;'
print 'And this should be printed to both'
print '&priority-6;But this should only go to the screen.'
print 'And this should be printed to both, again.'
def afunction(line):
test.output.write('\nHello\n')
test.set_print(afunction)
print "We're now using another print function - which should mirror 'hello' to the screen."
print "In practise you could use it to send output to a GUI window."
print "Or perhaps format output."
test2 = StandOut(stream='error', share=True) # anything printed to sys.stderr, should now be logged to the stdout file as well
sys.stderr.write('Big Mistake')
sys.stderr.write('\n')
sys.stderr.write('Another Error')
sys.stderr.write('\n')
test.close()
test2.close()
print 'Normality is now restored'
print 'Any further problems, are entirely your own.'
"""
ISSUES/TODO
===========
Doctests
Could trap when stout.write(line) is used with a priority marker. (By checking
for the default value of priority).
Could add a ``both`` keyword argument to avoid having to use the `share``
keyword argument. It can just instantiate another StandOut itself.
CHANGELOG
=========
2005/01/06 Version 2.1.0
Added flush and writelines method.
Added the 'stream' keyword for diverting the sys.stderr stream as well.
Added __getattr__ for any undefined methods.
Added the 'share' and 'error_marker' keywords for logging sys.stderr to the same file as sys.stdout.
07-04-04 Version 2.0.0
A complete rewrite. It now redirects the stdout stream so that normal print statements can be used.
Much better.
06-04-04 Version 1.1.0
Fixed a bug in passing in newfunc. Previously it only worked if you had a dummy variable for self.
"""
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# A simple proxy server that fetches pages from the google cache.
# Homepage : http://www.voidspace.org.uk/python/index.html
# Copyright Michael Foord, 2004 & 2005.
# Released subject to the BSD License
# Please see http://www.voidspace.org.uk/documents/BSD-LICENSE.txt
# For information about bugfixes, updates and support, please join the Pythonutils mailing list.
# http://voidspace.org.uk/mailman/listinfo/pythonutils_voidspace.org.uk
# Comments, suggestions and bug reports welcome.
# Scripts maintained at http://www.voidspace.org.uk/python/index.shtml
# E-mail fuzzyman@voidspace.org.uk
"""
This is a simple implementation of a proxy server that fetches web pages
from the google cache.
It is based on SimpleHTTPServer.
It lets you explore the internet from your browser, using the google cache.
See the world how google sees it.
Alternatively - retro internet - no CSS, no javascript, no images, this is back to the days of MOSAIC !
Run this script and then set your browser proxy settings to localhost:8000
Needs google.py (and a google license key).
See http://pygoogle.sourceforge.net/
and http://www.google.com/apis/
Tested on Windows XP with Python 2.3 and Firefox/Internet Explorer
Also reported to work with Opera/Firefox and Linux
Because the google api will only allow 1000 accesses a day we limit the file types
we will check for.
A single web page may cause the browser to make *many* requests.
Using the 'cached_types' list we try to only fetch pages that are likely to be cached.
We *could* use something like scraper.py to modify the HTML to remove image/script/css URLs instead.
Some useful suggestions and fixes from 'vegetax' on comp.lang.python
"""
import google
import BaseHTTPServer
import shutil
from StringIO import StringIO # cStringIO doesn't cope with unicode
import urlparse
__version__ = '0.1.0'
cached_types = ['txt', 'html', 'htm', 'shtml', 'shtm', 'cgi', 'pl', 'py'
'asp', 'php', 'xml']
# Any file extension that returns a text or html page will be cached
google.setLicense(google.getLicense())
googlemarker = '''<i>Google is not affiliated with the authors of this page nor responsible for its content.</i></font></center></td></tr></table></td></tr></table>\n<hr>\n'''
markerlen = len(googlemarker)
import urllib2
# uncomment the next three lines to over ride automatic fetching of proxy settings
# if you set localhost:8000 as proxy in IE urllib2 will pick up on it
# you can specify an alternate proxy by passing a dictionary to ProxyHandler
##proxy_support = urllib2.ProxyHandler({})
##opener = urllib2.build_opener(proxy_support)
##urllib2.install_opener(opener)
class googleCacheHandler(BaseHTTPServer.BaseHTTPRequestHandler):
server_version = "googleCache/" + __version__
cached_types = cached_types
googlemarker = googlemarker
markerlen = markerlen
txheaders = { 'User-agent' : 'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; .NET CLR 1.1.4322)' }
def do_GET(self):
f = self.send_head()
if f:
self.copyfile(f, self.wfile)
f.close()
def send_head(self):
"""Only GET implemented for this.
This sends the response code and MIME headers.
Return value is a file object, or None.
"""
print 'Request :', self.path # traceback to sys.stdout
url_tuple = urlparse.urlparse(self.path)
url = url_tuple[2]
domain = url_tuple[1]
if domain.find('.google.') != -1: # bypass the cache for google domains
req = urllib2.Request(self.path, None, self.txheaders)
self.send_response(200)
self.send_header("Content-type", 'text/html')
self.end_headers()
return urllib2.urlopen(req)
dotloc = url.rfind('.') + 1
if dotloc and url[dotloc:] not in self.cached_types:
return None # not a cached type - don't even try
print 'Fetching :', self.path # traceback to sys.stdout
thepage = google.doGetCachedPage(self.path) # XXXX should we check for errors here ?
headerpos = thepage.find(self.googlemarker)
if headerpos != -1:
pos = self.markerlen + headerpos
thepage = thepage[pos:]
f = StringIO(thepage) # turn the page into a file like object
self.send_response(200)
self.send_header("Content-type", 'text/html')
self.send_header("Content-Length", str(len(thepage)))
self.end_headers()
return f
def copyfile(self, source, outputfile):
shutil.copyfileobj(source, outputfile)
def test(HandlerClass = googleCacheHandler,
ServerClass = BaseHTTPServer.HTTPServer):
BaseHTTPServer.test(HandlerClass, ServerClass)
if __name__ == '__main__':
test()
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"""20.07.2015 PyOSE: Stacked exomoons with the Orbital Sampling Effect."""
import PyOSE
import matplotlib.pyplot as plt
import matplotlib.cm as cm
from matplotlib import rc
from numpy import pi
# Set stellar parameters
StellarRadius = 0.7 * 696342. # km
limb1 = 0.5971
limb2 = 0.1172
# Set planet parameters
PlanetRadius = 6371 * 4.8
PlanetAxis = 0.1246 * 149597870.700 # [km]
PlanetImpact = 0.25 # [0..1.x]; central transit is 0.
PlanetPeriod = 16.96862 # [days]
# Set moon parameters
MoonRadius = 6371 * 0.7 # [km]
MoonAxis = 238912.5 # [km] <<<<------
MoonEccentricity = 0.0 # 0..1
MoonAscendingNode = -30.0 # degrees
MoonLongitudePeriastron = 50.0 # degrees
MoonInclination = 83.0 # 0..90 in degrees. 0 is the reference plain (no incl).
# Set other parameters
ShowPlanetMoonEclipses = True # True: the reality; False would be no mutual
# eclipses. Of course unphysical, but useful for tests and comparisons)
ShowPlanet = False # True: Planet+Moon; False: Moon only
Noise = 0 # [ppm per minute]; 0 = no noise is added
NumberOfTransits = 0 # How many (randomly chosen) transits are observed;
# if 0 then all available are sampled (and their number is 10*Quality).
PhaseToHighlight = 0.2 # If no highlighting is desired, choose value < 0
Quality = 250 # Radius of star in pixels --> size of numerical sampling grid
NumberOfSamples = 250 # How many transits are to be sampled
# Curve
MyNewCurve = PyOSE.curve(StellarRadius, limb1, limb2, PlanetRadius, PlanetAxis,
PlanetImpact, PlanetPeriod, MoonRadius, MoonAxis, MoonEccentricity,
MoonAscendingNode, MoonLongitudePeriastron, MoonInclination,
ShowPlanetMoonEclipses, ShowPlanet, Quality, NumberOfSamples, Noise,
NumberOfTransits)
Time = MyNewCurve[0][1:]
Flux = MyNewCurve[1][1:]
ax = plt.axes()
plt.plot(Time, Flux, color = 'k')
plt.rc('text', usetex=True)
plt.rc('font', family='serif')
plt.tick_params(axis='both', which='major', labelsize=16)
plt.xlabel('time around planetary mid-transit [days]',fontsize=16)
plt.ylabel('normalized stellar brightness [ppm]',fontsize=16)
plt.axis([-0.2, +0.2, -100, 1], set_aspect='equal', fontsize=16)
ax.tick_params(direction='out')
MoonAxis = 61162
MyNewCurve = PyOSE.curve(StellarRadius, limb1, limb2, PlanetRadius, PlanetAxis,
PlanetImpact, PlanetPeriod, MoonRadius, MoonAxis, MoonEccentricity,
MoonAscendingNode, MoonLongitudePeriastron, MoonInclination,
ShowPlanetMoonEclipses, ShowPlanet, Quality, NumberOfSamples, Noise,
NumberOfTransits)
Time = MyNewCurve[0][1:]
Flux = MyNewCurve[1][1:]
plt.plot(Time, Flux, color = 'k')
plt.annotate(r"$a_{s} = 0.5 R_{\rm H}$ ", xy=(0.08, -40), size=16)
plt.annotate(r"$a_{s} = 0.128 R_{\rm H}$ ", xy=(-0.06, -20), size=16)
plt.savefig("fig_8a.pdf", bbox_inches='tight')
#plt.savefig("fig_8a.eps", bbox_inches='tight')
plt.show()
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"""20.07.2015 PyOSE: Stacked exomoons with the Orbital Sampling Effect."""
import PyOSE
import matplotlib.pyplot as plt
import matplotlib.cm as cm
from matplotlib import rc
#import xlwt
#from tempfile import TemporaryFile
from numpy import pi
# Set stellar parameters
StellarRadius = 0.7 * 696342. # km
limb1 = 0.5971
limb2 = 0.1172
# Set planet parameters
#PlanetRadius = 63700. # [km]
PlanetRadius = 6371 * 4.8
PlanetAxis = 0.1246 * 149597870.700 # [km]
PlanetImpact = 0.0# 0.25 # [0..1.x]; central transit is 0.
PlanetPeriod = 16.96862 # [days]
# Set moon parameters
MoonRadius = 6371 * 0.7 # [km]
#MoonAxis = 15.47 * 4.8 * 6371 # [km]
MoonAxis = 238912.5 # [km] <<<<------
#Hill radius 75 * 6371, 477825 - limit 0.5 Hill --> 238912.5
#Roche lobe 2 * 6371 * 4.8 = 61162
MoonEccentricity = 0.0 # 0..1
MoonAscendingNode = 0.0 # degrees
MoonLongitudePeriastron = 50.0 # degrees
MoonInclination = 83.0 # 0..90 in degrees. 0 is the reference plain (no incl).
# Set other parameters
ShowPlanetMoonEclipses = True # True: the reality; False would be no mutual
# eclipses. Of course unphysical, but useful for tests and comparisons)
ShowPlanet = False # True: Planet+Moon; False: Moon only
Noise = 0 # [ppm per minute]; 0 = no noise is added
NumberOfTransits = 0 # How many (randomly chosen) transits are observed;
# if 0 then all available are sampled (and their number is 10*Quality).
PhaseToHighlight = 0.2 # If no highlighting is desired, choose value < 0
Quality = 250 # Radius of star in pixels --> size of numerical sampling grid
NumberOfSamples = 250 # How many transits are to be sampled
# Curve
PlanetImpact = 0.25# 0.25 # [0..1.x]; central transit is 0.
MoonInclination = 90.0 # 0..90 in degrees. 0 is the reference plain (no incl).
MoonRadius = 6371 * 0.7 # [km]
MoonAxis = 61162
# [km] <<<<------0.5 Hill
MyNewCurve = PyOSE.curve(StellarRadius, limb1, limb2, PlanetRadius, PlanetAxis,
PlanetImpact, PlanetPeriod, MoonRadius, MoonAxis, MoonEccentricity,
MoonAscendingNode, MoonLongitudePeriastron, MoonInclination,
ShowPlanetMoonEclipses, ShowPlanet, Quality, NumberOfSamples, Noise,
NumberOfTransits)
Time1 = MyNewCurve[0][1:]
Flux1 = MyNewCurve[1][1:]
ax = plt.axes()
plt.plot(Time1, Flux1, color = 'k')
plt.rc('text', usetex=True)
plt.rc('font', family='serif')
plt.tick_params(axis='both', which='major', labelsize=16)
plt.xlabel('time around planetary mid-transit [days]',fontsize=16)
plt.ylabel('normalized stellar brightness [ppm]',fontsize=16)
plt.axis([-0.2, +0.2, -100, 1], set_aspect='equal', fontsize=16)
ax.tick_params(direction='out')
MoonRadius = 6371 * 0.35 # [km]
MoonAxis = 238912.5 # [km] <<<<------
MyNewCurve = PyOSE.curve(StellarRadius, limb1, limb2, PlanetRadius, PlanetAxis,
PlanetImpact, PlanetPeriod, MoonRadius, MoonAxis, MoonEccentricity,
MoonAscendingNode, MoonLongitudePeriastron, MoonInclination,
ShowPlanetMoonEclipses, ShowPlanet, Quality, NumberOfSamples, Noise,
NumberOfTransits)
Time2 = MyNewCurve[0][1:]
Flux2 = MyNewCurve[1][1:]
plt.plot(Time2, Flux2, color = 'k')
summe = Flux1+Flux2
plt.plot(Time2, summe, color = 'k', linestyle='dashed', linewidth=2)
plt.savefig("fig_11.pdf", bbox_inches='tight')
plt.show()
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"""20.07.2015 PyOSE: Stacked exomoons with the Orbital Sampling Effect."""
# Stacked exomoons with the Orbital Sampling Effect (OSE, Heller 2014, ApJ 787)
#
# _.--"~~ __"-. Copyright 2015 Michael Hippke and contributors
# ,-" .-~ ~"-\ OSE-Sampler is free software
# .^ / ( ) made available under the MIT License
# {_.---._ / ~ http://opensource.org/licenses/MIT
# / . Y
# / \_j
# Y ( --l__
# | "-.
# | (___ \ If you make use of OSE-Sampler in your work,
# | .)~-.__/ please cite our paper:
# l _) Hippke & Heller 2015, arXiv, ADS, BibTeX
# \ "l
# \ \
# \ ^.
# ^. "-.
# "-._ ~-.___,
# "--.._____.^
#
# Contributors: Add your name here if you like
# Michael Hippke - initiator
# Rene Heller - requirements and OSE Theory (Heller 2014, ApJ 787)
# Stefan Czesla - conversion of some functions from Pascal to Python
import matplotlib.pylab as plt
import numpy as np
from numpy import pi, sqrt, sin, cos, arcsin, arccos, radians, power, degrees
from PyAstronomy import pyasl
from PyAstronomy.modelSuite import forTrans
from matplotlib.pyplot import cm
def modelview(
StellarRadius, limb1, limb2, PlanetRadius, PlanetImpact, MoonRadius,
MoonAxis, MoonEccentricity, MoonAscendingNode, MoonLongitudePeriastron,
MoonInclination, PhaseToHighlight, Quality):
"""Calculate the 3D model view. This is the vector version (v2)"""
# Convert values from km to internal measure (stellar radius = 1)
PlanetRadius = PlanetRadius / StellarRadius
MoonRadius = MoonRadius / StellarRadius
MoonAxis = MoonAxis / StellarRadius
# Make background unicolor black or white
#allwhite = plt.Circle((0, 0), 100, color=(1, 1, 1))
#allblack = plt.Circle((0, 0), 100, color=(0, 0, 0))
#plt.gcf().gca().add_artist(allwhite)
# Alternatively plot a gradient map as background
X = [[-1, 0], [0, 1]]
plt.imshow(X, interpolation='bicubic', cmap=cm.gray,
extent=(-1.1, 1.1, -1.1, 1.1), alpha=1)
# Star
StarQuality = Quality
StarQuality = 100
for i in range(StarQuality):
Impact = i / float(StarQuality)
LimbDarkening = QuadraticLimbDarkening(Impact, limb1, limb2)
Sun = plt.Circle((0, 0), 1 - i / float(StarQuality),
color=(LimbDarkening, LimbDarkening, LimbDarkening))
# for a yellow shaded star, replace the last LimbDarkening with 0
plt.gcf().gca().add_artist(Sun)
# Moon's orbit: Kepler ellipse normalized to 1x1 stellar radii
Ellipse = pyasl.KeplerEllipse(
MoonAxis, MoonAxis,
e = MoonEccentricity,
Omega = MoonAscendingNode,
w = MoonLongitudePeriastron,
i = MoonInclination)
NumerOfSamples = 1 / float(Quality)
time = np.linspace(0., MoonAxis, Quality)
coordinates = np.zeros((len(time), 3), dtype=np.float)
for i in xrange(len(time)):
coordinates[i,::] = Ellipse.xyzPos(time[i])
OccultedDataPoints = [] # To clip the moon ellipse "behind" the planet
for i in range(Quality / 2):
CurrentMoonImpact = coordinates[i, 1]
CurrentHorizontalMoonPosition = coordinates[i, 0]
CurrentDistanceMoonPlanet = sqrt(CurrentMoonImpact ** 2
+ CurrentHorizontalMoonPosition ** 2) * StellarRadius
if CurrentDistanceMoonPlanet < PlanetRadius * StellarRadius:
OccultedDataPoints.append(i)
if len(OccultedDataPoints) > 0:
FirstOcculted = OccultedDataPoints[0]
LastOcculted = OccultedDataPoints[-1] + 1
plt.plot(-coordinates[:FirstOcculted,0],
coordinates[:FirstOcculted,1] + PlanetImpact, 'k', zorder = 5)
plt.plot(-coordinates[LastOcculted:,0],
coordinates[LastOcculted:,1] + PlanetImpact, 'k', zorder = 5)
else:
plt.plot(-coordinates[::,0],
coordinates[::,1] + PlanetImpact, 'k', zorder = 5)
# Planet
PlanetCircle = plt.Circle((0, PlanetImpact), PlanetRadius, color = 'k',
zorder = 4)
plt.gcf().gca().add_artist(PlanetCircle)
# Moon
PosPhase = PhaseToHighlight / float(NumerOfSamples)
coordinates[1,::] = Ellipse.xyzPos(time[PosPhase])
if PhaseToHighlight < 0.5:
CurrentOrder = 2 # behind the planet
else:
CurrentOrder = 4 # in front of the planet
MoonCircle = plt.Circle((-coordinates[1,0],
coordinates[1,1] + PlanetImpact), MoonRadius, color = 'k',
zorder = CurrentOrder)
plt.gcf().gca().add_artist(MoonCircle)
# Square not functional?
plt.axis([-1.1, +1.1, -1.1, +1.1], set_aspect='equal', fontsize=16)
return plt
def riverwithoutnoise(
StellarRadius, limb1, limb2, PlanetRadius, PlanetAxis, PlanetImpact,
PlanetPeriod, MoonRadius, MoonAxis, MoonEccentricity, MoonAscendingNode,
MoonLongitudePeriastron, MoonInclination, ShowPlanetMoonEclipses, Quality,
NumberOfSamples):
"""Core function projecting Kepler Moon Ellipse onto PixelGrid"""
# Moon's orbit: Kepler ellipse normalized to 1x1 stellar radii
NormalizedMoonAxis = MoonAxis / StellarRadius
NormalizedMoonRadius = MoonRadius / StellarRadius
CounterFullEclipses = 0
CounterPartialEclipses = 0
CurrentEclipsedRatio = 0
Ellipse = pyasl.KeplerEllipse(
NormalizedMoonAxis, NormalizedMoonAxis,
e = MoonEccentricity,
Omega = MoonAscendingNode,
w = MoonLongitudePeriastron,
i = MoonInclination)
time = np.linspace(0., NormalizedMoonAxis, NumberOfSamples)
coordinates = np.zeros((len(time), 3), dtype=np.float)
for i in xrange(len(time)):
coordinates[i,::] = Ellipse.xyzPos(time[i])
StretchSpace = 5 # 5 Grid size [multiples of planet transit duration]
UnStretchedTransitDuration = PlanetPeriod / pi * arcsin(sqrt(
(MoonRadius + StellarRadius) ** 2) / PlanetAxis)
cache = np.zeros((NumberOfSamples, Quality), dtype=np.float)
output = np.zeros((NumberOfSamples, StretchSpace * Quality), dtype=np.float)
ma = forTrans.MandelAgolLC() # Prepare light curves
ma["T0"] = 0
ma["b"] = 0.
ma["linLimb"] = limb1
ma["quadLimb"] = limb2
ma["per"] = PlanetPeriod
ma["a"] = PlanetAxis / StellarRadius
ma["p"] = MoonRadius / StellarRadius
time = np.linspace(ma["per"] - (0.5 * UnStretchedTransitDuration),
ma["per"] + (0.5 * UnStretchedTransitDuration), Quality)
for i in range(NumberOfSamples): # Fetch curves: The core of this function
CurrentMoonImpact = coordinates[i, 1] # Position-dependent moon impact
CurrentHorizontalMoonPosition = coordinates[i, 0]
ma["i"] = ImpactToInclination(
CurrentMoonImpact + PlanetImpact, StellarRadius, PlanetAxis)
cache[i,::] = ma.evaluate(time) # Fetch each curve
# Mutual eclipses: calculate distance moon --> planet [km]
if ShowPlanetMoonEclipses:
CurrentDistanceMoonPlanet = sqrt(CurrentMoonImpact ** 2
+ CurrentHorizontalMoonPosition ** 2) * StellarRadius
CurrentEclipsedRatio = EclipsedRatio(
CurrentDistanceMoonPlanet, PlanetRadius, MoonRadius)
for k in range(Quality): # Transform flux from e.g. 0.995 to -5ppm
cache[i, k] = -(1 - cache[i, k]) * 10 ** 6
# And reduce the flux according to the eclipsed area
if ShowPlanetMoonEclipses and cache[i, k] < 0:
cache[i, k] = -(1 - cache[i, k]) * (1 - CurrentEclipsedRatio)
for i in range(NumberOfSamples): # Apply time shift due to moon orbit
for k in range(Quality):
HorizontalPixelPosition = (coordinates[i, 0] * Quality) / 2
MidShift = (0.5 * StretchSpace - 0.5) * Quality
output[i, k + HorizontalPixelPosition + MidShift] = cache[i, k]
return output
def river(
StellarRadius, limb1, limb2, PlanetRadius, PlanetAxis, PlanetImpact,
PlanetPeriod, MoonRadius, MoonAxis, MoonEccentricity, MoonAscendingNode,
MoonLongitudePeriastron, MoonInclination, ShowPlanetMoonEclipses,
Quality, NumberOfSamples, Noise):
"""Draw the river plot. Get map from RiverWithoutNoise."""
StretchSpace = 5 # 5 times longer than a transit duration
map = riverwithoutnoise( # Get noiseless map
StellarRadius, limb1, limb2,
PlanetRadius, PlanetAxis, PlanetImpact, PlanetPeriod,
MoonRadius, MoonAxis, MoonEccentricity, MoonAscendingNode,
MoonLongitudePeriastron, MoonInclination,
ShowPlanetMoonEclipses, Quality, NumberOfSamples)
# Calculate helper variables for noise level per pixel
PlanetTransitDuration = PlanetPeriod / pi * arcsin(sqrt(
(2 * StellarRadius + 2 * PlanetRadius) ** 2) / PlanetAxis)
Pixeltimestep = PlanetTransitDuration / float(Quality)
timeResolution = Pixeltimestep * 24 * 60
# Prepare the amount of noise per pixel (=integration)
# NoisePerIntegration [ppm/integration] = Noise [ppm/minute]
# / sqrt(Integrationtime / 1 [Minute])
NoisePerIntegration = Noise / sqrt(timeResolution)
for i in range(NumberOfSamples): # Now spread the noise
for k in range(StretchSpace * Quality): # Check if noise is desired.
if Noise <= 0: # Skip the (computationally expensive) noise calc
RandomNumber = 0
else:
# Gaussian noise of mean=0; stdev=NoisePerIntegration
# Can be swapped for any other noise law, or even real data
RandomNumber = np.random.normal(0, NoisePerIntegration, 1)
map[i, k] = map[i, k] + RandomNumber # Add the noise to the map
return map
def timeaxis(PlanetPeriod, PlanetAxis, MoonRadius, StellarRadius, Quality):
Duration = PlanetPeriod / pi * arcsin(sqrt(
(StellarRadius + MoonRadius) ** 2) / PlanetAxis)
StretchSpace = 5 * Quality
time = np.linspace(-2.5 * Duration, 2.5 * Duration, StretchSpace)
return time
def curve(
StellarRadius, limb1, limb2, PlanetRadius, PlanetAxis, PlanetImpact,
PlanetPeriod, MoonRadius, MoonAxis, MoonEccentricity, MoonAscendingNode,
MoonLongitudePeriastron, MoonInclination, PlanetMoonEclipses, ShowPlanet,
Quality, NumberOfSamples, Noise, NumberOfTransits):
"""Calculate the curve. Use map as source."""
HorizontalResolution = 5 * Quality
curve = np.zeros((2, HorizontalResolution), dtype=np.float)
curve[0,::] = timeaxis(
PlanetPeriod, PlanetAxis, MoonRadius, StellarRadius, Quality)
# Get the MapMoon with noise; if noise=0 then none will be added
MapMoon = river(
StellarRadius, limb1, limb2,
PlanetRadius, PlanetAxis, PlanetImpact, PlanetPeriod,
MoonRadius, MoonAxis, MoonEccentricity, MoonAscendingNode,
MoonLongitudePeriastron, MoonInclination, PlanetMoonEclipses, Quality,
NumberOfSamples, Noise)
if ShowPlanet: # If wanted: Add noiseless planet curve
MapPlanet = river(StellarRadius, limb1, limb2,
PlanetRadius, PlanetAxis, PlanetImpact, PlanetPeriod,
PlanetRadius, 1., 0., 0., 0., 90., False, Quality, 1, 0)
if NumberOfTransits == 0: # Full OSE curve is requested
for i in range(HorizontalResolution):
Collector = 0
for k in range(NumberOfSamples):
Collector = Collector + MapMoon[k,i]
Chartflux = Collector / (NumberOfSamples)
curve[1, i] = Chartflux
else: # Get a subset
MapMoonObserved = np.zeros((NumberOfTransits, HorizontalResolution),
dtype=np.float)
# Fetch #NumberOfTransits transits and push them to #MapMoonObserved
for k in range(NumberOfTransits):
# Instead of the random selection, one might introduce a rule to
# select orbits according to phase time, e.g. observing the transit
# at phase=0.17 at first visit, then 0.34, then 0.51...
MyRandomTransit = np.random.uniform(0, NumberOfSamples)
# <== apply other rule here
for i in range(HorizontalResolution - 1):
MapMoonObserved[k, i] = MapMoonObserved[k, i] + \
MapMoon[MyRandomTransit, i]
# Collector routine now using subset:MapMoonObserved; compensate for flux
for i in range(HorizontalResolution):
Collector = 0
for k in range(NumberOfTransits):
Collector = Collector + MapMoonObserved[k, i]
Chartflux = Collector / float(NumberOfSamples)
curve[1, i] = Chartflux * (NumberOfSamples / float(NumberOfTransits))
if ShowPlanet:
curve[1, ::] = curve[1, ::] + MapPlanet[0, ::]
return curve
def integral(
StellarRadius, limb1, limb2,
PlanetRadius, PlanetAxis, PlanetImpact, PlanetPeriod,
MoonRadius, MoonAxis, MoonEccentricity, MoonAscendingNode,
MoonLongitudePeriastron, MoonInclination, PlanetMoonEclipses, ShowPlanet,
Quality, NumberOfSamples, Noise, NumberOfTransits):
"""Calculate the integral. Use curve as source."""
MyCurve = curve(
StellarRadius, limb1, limb2, PlanetRadius, PlanetAxis, PlanetImpact,
PlanetPeriod, MoonRadius, MoonAxis, MoonEccentricity, MoonAscendingNode,
MoonLongitudePeriastron, MoonInclination, PlanetMoonEclipses,
ShowPlanet, Quality, NumberOfSamples, Noise, NumberOfTransits)
time = MyCurve[0][::]
flux = MyCurve[1][::]
TimeLength = time[0]
TimeStep = time[1] - time[0]
NumberOfBins = TimeLength / TimeStep
TotalFlux = np.sum(flux)
return TotalFlux * TimeLength / NumberOfBins * 24 # [ppm hrs]
def CircleCircleIntersect(radius1, radius2, distance):
"""Calculates area of asymmetric "lens" in which two circles intersect
Source: http://mathworld.wolfram.com/Circle-CircleIntersection.html"""
return radius1 ** 2 * (arccos(((distance ** 2) + (radius1 ** 2) -
(radius2 ** 2)) / (2 * distance * radius1))) + ((radius2 ** 2) *
(arccos((((distance ** 2) + (radius2 ** 2) - (radius1 ** 2)) /
(2 * distance * radius2))))) - (0.5 * sqrt((-distance + radius1 +
radius2) * (distance + radius1 - radius2) * (distance - radius1 +
radius2) * (distance + radius1 + radius2)))
def EclipsedRatio(CurrentDistanceMoonPlanet, PlanetRadius, MoonRadius):
"""Returns eclipsed ratio [0..1] using CircleCircleIntersect"""
HasFullEclipse = False
HasMutualEclipse = False
CurrentEclipsedRatio = 0
if abs(CurrentDistanceMoonPlanet) < (PlanetRadius + MoonRadius):
HasMutualEclipse = True
if ((PlanetRadius - MoonRadius) > abs(CurrentDistanceMoonPlanet)):
HasFullEclipse = True
# For partial eclipses, get the fraction of moon eclipse using transit
if HasMutualEclipse and not HasFullEclipse:
CurrentEclipsedRatio = CircleCircleIntersect(
PlanetRadius, MoonRadius, CurrentDistanceMoonPlanet)
# ...and transform this value into how much AREA is really eclipsed
CurrentEclipsedRatio = CurrentEclipsedRatio / (pi * MoonRadius ** 2)
if HasFullEclipse:
CurrentEclipsedRatio = 1.0
return CurrentEclipsedRatio
def ImpactToInclination(PlanetImpact, StellarRadius, PlanetAxis):
"""Converts planet impact parameter b = [0..1.x] to inclination [deg]"""
return degrees(arccos(PlanetImpact * StellarRadius / PlanetAxis))
def QuadraticLimbDarkening(Impact, limb1, limb2):
"""Quadratic limb darkening. Kopal 1950, Harvard Col. Obs. Circ., 454, 1"""
return 1 - limb1 * (1 - Impact) - limb2 * (1 - Impact) ** 2
| {
"repo_name": "hippke/PyOSE",
"path": "PyOSE.py",
"copies": "1",
"size": "15868",
"license": "mit",
"hash": 9089201926173079000,
"line_mean": 43.0777777778,
"line_max": 88,
"alpha_frac": 0.6458280817,
"autogenerated": false,
"ratio": 3.355466271939099,
"config_test": false,
"has_no_keywords": false,
"few_assignments": false,
"quality_score": 0.4501294353639099,
"avg_score": null,
"num_lines": null
} |
# 200 = a * 100 + b * 50 + c * 20 + d * 10 + e * 5 + f * 2 + g
def count(money, level):
if level == 1:
return 1
elif level == 2:
possible = money // 2
sum = 0
for i in range(0, possible + 1):
sum += count(money - i * 2, 1)
return sum
elif level == 5:
possible = money // 5
sum = 0
for i in range(0, possible + 1):
sum += count(money - i * 5, 2)
return sum
elif level == 10:
possible = money // 10
sum = 0
for i in range(0, possible + 1):
sum += count(money - i * 10, 5)
return sum
elif level == 20:
possible = money // 20
sum = 0
for i in range(0, possible + 1):
sum += count(money - i * 20, 10)
return sum
elif level == 50:
possible = money // 50
sum = 0
for i in range(0, possible + 1):
sum += count(money - i * 50, 20)
return sum
elif level == 100:
possible = money // 100
sum = 0
for i in range(0, possible + 1):
sum += count(money - i * 100, 50)
return sum
elif level == 200:
possible = money // 200
sum = 0
for i in range(0, possible + 1):
sum += count(money - i * 200, 100)
return sum
print(count(200, 200))
| {
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"path": "31.py",
"copies": "1",
"size": "1366",
"license": "mit",
"hash": 4382195763776500700,
"line_mean": 26.32,
"line_max": 62,
"alpha_frac": 0.4494875549,
"autogenerated": false,
"ratio": 3.672043010752688,
"config_test": false,
"has_no_keywords": false,
"few_assignments": false,
"quality_score": 0.9517182739565732,
"avg_score": 0.020869565217391303,
"num_lines": 50
} |
"""200. Number of Islands
https://leetcode.com/problems/number-of-islands/
Given a 2d grid map of '1's (land) and '0's (water), count the number of
islands. An island is surrounded by water and is formed by connecting adjacent
lands horizontally or vertically. You may assume all four edges of the grid
are all surrounded by water.
Example 1:
Input:
11110
11010
11000
00000
Output: 1
Example 2:
Input:
11000
11000
00100
00011
Output: 3
"""
from typing import List
class Solution:
def num_islands(self, grid: List[List[str]]) -> int:
if not grid or not grid[0]:
return 0
rows, cols = len(grid), len(grid[0])
def dfs(row: int, col: int):
if row < 0 or row >= rows or col < 0 or col >= cols:
return
if grid[row][col] == '0':
return
grid[row][col] = '0'
dfs(row - 1, col)
dfs(row + 1, col)
dfs(row, col - 1)
dfs(row, col + 1)
count = 0
for i in range(rows):
for j in range(cols):
if grid[i][j] == '1':
dfs(i, j)
count += 1
return count
| {
"repo_name": "isudox/leetcode-solution",
"path": "python-algorithm/leetcode/number_of_islands.py",
"copies": "1",
"size": "1193",
"license": "mit",
"hash": -444083736101085600,
"line_mean": 19.9298245614,
"line_max": 78,
"alpha_frac": 0.5398155909,
"autogenerated": false,
"ratio": 3.3796033994334276,
"config_test": false,
"has_no_keywords": false,
"few_assignments": false,
"quality_score": 0.9419418990333428,
"avg_score": 0,
"num_lines": 57
} |
# 200. Number of Islands
#
# Given a 2d grid map of '1's (land) and '0's (water), count the number of islands.
# An island is surrounded by water and is formed by connecting adjacent lands horizontally or vertically.
# You may assume all four edges of the grid are all surrounded by water.
#
# Example 1:
#
# 11110
# 11010
# 11000
# 00000
# Answer: 1
#
# Example 2:
#
# 11000
# 11000
# 00100
# 00011
# Answer: 3
class Solution(object):
def numIslands(self, grid):
"""
:type grid: List[List[str]]
:rtype: int
http://www.tangjikai.com/algorithms/leetcode-200-number-of-islands
We use a visited array to track whether the element is visited or not.
When we find a unvisited '1', DFS to mark all surrounding '1' to visited,
then find other '1's.
Complexity:
O(mn) time
O(mn) space
"""
m = len(grid)
if m == 0:
return 0
n = len(grid[0])
visited = [[False] * n for _ in range(m)]
res = 0
for i in range(m):
for j in range(n):
if grid[i][j] == '1' and not visited[i][j]:
self.dfs(i, j, grid, visited)
res += 1
return res
def dfs(self, i, j, grid, visited):
visited[i][j] = True
if i + 1 < len(grid) and grid[i + 1][j] == '1' and not visited[i + 1][j]:
self.dfs(i + 1, j, grid, visited)
if j + 1 < len(grid[0]) and grid[i][j + 1] == '1' and not visited[i][j + 1]:
self.dfs(i, j + 1, grid, visited)
if i - 1 >= 0 and grid[i - 1][j] == '1' and not visited[i - 1][j]:
self.dfs(i - 1, j, grid, visited)
if j - 1 >= 0 and grid[i][j - 1] == '1' and not visited[i][j - 1]:
self.dfs(i, j - 1, grid, visited)
class Solution(object):
def numIslands(self, grid):
"""
:type grid: List[List[str]]
:rtype: int
http://zxi.mytechroad.com/blog/searching/leetcode-200-number-of-islands/
for every land (1), visit its neighbor land using DFS,
until there is no land,
mark visited node as 0 (water).
"""
m = len(grid)
if m == 0: return 0
n = len(grid[0])
ans = 0
for i in range(m):
for j in range(n):
if grid[i][j] == '1':
ans += 1
self.dfs(grid, i, j, m, n)
return ans
def dfs(self, grid, i, j, m, n):
if i < 0 or j < 0 or i >= m or j >= n or grid[i][j] == '0':
return
grid[i][j] = '0'
self.dfs(grid, i + 1, j, m, n)
self.dfs(grid, i - 1, j, m, n)
self.dfs(grid, i, j + 1, m, n)
self.dfs(grid, i, j - 1, m, n)
# same as above solution, but put dfs func inside
# this way no need for m, n
def numIslands(self, grid):
"""
:type grid: List[List[str]]
:rtype: int
"""
def dfs(grid, i, j):
# reaches border or water
if i < 0 or j < 0 or i >= m or j >= n or grid[i][j] == '0':
return
grid[i][j] = '0'
dfs(grid, i, j + 1)
dfs(grid, i, j - 1)
dfs(grid, i - 1, j)
dfs(grid, i + 1, j)
m = len(grid)
if m == 0:
return 0
n = len(grid[0])
res = 0
for i in range(m):
for j in range(n):
if grid[i][j] == '1':
dfs(grid, i, j)
res += 1
return res | {
"repo_name": "gengwg/leetcode",
"path": "200_number_of_islands.py",
"copies": "1",
"size": "3569",
"license": "apache-2.0",
"hash": -1805888363420235500,
"line_mean": 26.6744186047,
"line_max": 105,
"alpha_frac": 0.4704398991,
"autogenerated": false,
"ratio": 3.1923076923076925,
"config_test": false,
"has_no_keywords": false,
"few_assignments": false,
"quality_score": 0.4162747591407693,
"avg_score": null,
"num_lines": null
} |
# 2010-07-17 - 2011-01-16 @ david barkhuizen
# yahoo finance harvester component
import http.client
http.client.HTTPConnection.debuglevel = 0
import urllib
URL_STEM = 'http://ichart.finance.yahoo.com/table.csv?'
def construct_ichart_csv_url(symbol, fromY, fromM, fromD, toY, toM, toD):
'''
('BP', '1900', '01', '01', '2010', '07', '18')
'''
q = dict()
q['s'] = symbol
q['a'] = str(int(fromM) - 1)
q['b'] = fromD
q['c'] = fromY
q['d'] = str(int(toM) - 1)
q['e'] = toD
q['f'] = toY
q['g'] = 'd'
# valid example as @ 2011/01/16
# http://ichart.finance.yahoo.com/table.csv? s=JPM &a=11 &b=30 &c=1983 &d=00 &e=16 &f=2011 &g=d &ignore=.csv
# 1983-12-30 -> 2011-01-16
# http://ichart.finance.yahoo.com/table.csv?s=JPM &a=05 &b=1 &c=1983 &d=06 &e=1 &f=2011 &g=d &ignore=.csv
# 1983-06-01 -> 2011-07-01
encoded = urllib.urlencode(q)
url = URL_STEM + encoded # + "&ignore=.csv"
print(url)
return url
def get_body(url):
f = urllib.urlopen(url)
body = f.read()
f.close()
return body
def get_csv_lines_for_period(symbol, fromY, fromM, fromD, toY, toM, toD):
url = construct_ichart_csv_url(symbol, fromY, fromM, fromD, toY, toM, toD)
body = get_body(url)
return body
| {
"repo_name": "davidbarkhuizen/yfh",
"path": "v1/httpadaptor.py",
"copies": "1",
"size": "1238",
"license": "mit",
"hash": -7837285653623167000,
"line_mean": 21.9259259259,
"line_max": 110,
"alpha_frac": 0.6025848142,
"autogenerated": false,
"ratio": 2.41796875,
"config_test": false,
"has_no_keywords": false,
"few_assignments": false,
"quality_score": 0.8057275333121692,
"avg_score": 0.09265564621566184,
"num_lines": 54
} |
""" 2012.06.15
1. This script joins separate Skia .gyp files (core,opts,effects,ports,utils...)
into one "gyp/skia_dll_msvs2010e.gyp", that could be used to create one shared lib (dll).
see "skia_dll_config" below for more details.
2. Creates "gyp/win32_app.gyp" and "skia_win32.gyp" files.
3. Generates Visual Studio 2010 Express project files.
More useful info (to build Release version) could be found in chromium gyp files like:
http://src.chromium.org/viewvc/chrome/trunk/src/build/common.gypi
"""
import os
import sys
import pprint
script_dir = os.path.dirname(__file__)
# Directory within which we can find the gyp source.
gyp_source_dir = os.path.join(script_dir, 'third_party', 'externals', 'gyp')
# Directory within which we can find most of Skia's gyp configuration files.
gyp_config_dir = os.path.join(script_dir, 'gyp')
# Directory within which we want all generated files (including Makefiles)
# to be written.
output_dir = os.path.join(os.path.abspath(script_dir), 'out')
sys.path.append(os.path.join(gyp_source_dir, 'pylib'))
import gyp
skia_win32_config = """
{
'targets': [
{
# Use this target to build everything provided by Skia.
'target_name': 'main',
'type': 'none',
'dependencies': [
'gyp/win32_app.gyp:win32_app', # this will include skia_dll.gyp
],
},
],
}
"""
win32_app_config = """
{
'targets': [{
'target_name': 'win32_app',
'type': 'executable',
'defines': [
'SKIA_DLL',
'WIN32',
#'SKIA_IMPLEMENTATION=1', commented - so it will be using dllimport (instead of export)
#'SK_RELEASE' # define this in SkUserConfig.h
'_UNICODE',
'UNICODE',
'OS_WIN', # for /ext
],
'sources': [
'../win32_app/skia_app.cpp',
],
'dependencies' : [
'skia_dll_msvs2010e.gyp:skia',
],
'include_dirs' : [
'../',
'../include/config/',
'../include/effects/',
'../include/core/',
],
'link_settings':
{
'libraries': [
'-lskia.lib',
],
},
'msvs_settings':
{
'VCLinkerTool': {
'AdditionalLibraryDirectories':
['$(OutDir)'], # this must be modified in case it's not Debug
},
},
},]
}
"""
skia_dll_config = """
{
'targets' : [
{
'target_name' : 'skia',
'type' : 'shared_library',
'defines': [
'SKIA_DLL',
'WIN32',
'SKIA_IMPLEMENTATION=1',
#'SK_RELEASE' # define this in SkUserConfig.h
'_UNICODE',
'UNICODE',
'OS_WIN', # for /ext
],
#include\core\skrefcnt.h(28): warning C4251: 'SkRefCnt::fInstanceCountHelper' : class 'SkRefCnt::SkInstanceCountHelper' needs to have dll-interface to be used by clients of class 'SkRefCnt'
#include\core\skrefcnt.h(28) : see declaration of 'SkRefCnt::SkInstanceCountHelper'
'msvs_disabled_warnings': [4251],
'link_settings':
{
'libraries': [
'-lPsapi.lib' # for /ext
],
},
# better shared_library settings:
# http://src.chromium.org/svn/trunk/src/build/common.gypi
'msvs_settings':
{
'VCCLCompilerTool': {
'ExceptionHandling': '1', # /EHsc
'AdditionalOptions': [ '/EHsc' ], # common_conditions.gypi overwrites 'ExceptionHandling': '0', so we must add /EHsc
},
},
'dependencies' :
[
'core.gyp:core',
'ports.gyp:ports',
'utils.gyp:utils',
'effects.gyp:effects',
'pdf.gyp:pdf', # jo prireike /ext
# Note: A more slimmed-down library (with no source edits) can be compiled
# by removing all dependencies below this comment, and uncommenting the
# SkOSFile.cpp source below.
#'animator.gyp:animator',
#'gpu.gyp:skgr',
#'gpu.gyp:gr',
#'xml.gyp:xml',
#'opts.gyp:opts',
#'svg.gyp:svg',
#'views.gyp:views',
#'images.gyp:images',
],
'include_dirs' : ['../', ], # kad galetume pasiekti /ext /base ir /build
'sources':
[
'../include/config/SkUserConfig.h',
'../build/build_config.h',
'../base/basictypes.h',
'../base/compiler_specific.h',
'../base/port.h',
# skia extensions from: http://src.chromium.org/viewvc/chrome/trunk/src/skia/skia.gyp?view=markup
'../ext/bitmap_platform_device.h',
#'../ext/bitmap_platform_device_android.cc',
#'../ext/bitmap_platform_device_android.h',
'../ext/bitmap_platform_device_data.h',
#'../ext/bitmap_platform_device_linux.cc',
#'../ext/bitmap_platform_device_linux.h',
#'../ext/bitmap_platform_device_mac.cc',
#'../ext/bitmap_platform_device_mac.h',
'../ext/bitmap_platform_device_win.cc',
'../ext/bitmap_platform_device_win.h',
'../ext/canvas_paint.h',
'../ext/canvas_paint_common.h',
#'../ext/canvas_paint_gtk.h',
#'ext/canvas_paint_mac.h',
'../ext/canvas_paint_win.h', # SITAS SVARBUS
#'../ext/convolver.cc',
#'../ext/convolver.h',
#'../ext/google_logging.cc',
#'../ext/image_operations.cc',
#'../ext/image_operations.h',
#'../ext/SkThread_chrome.cc',
'../ext/platform_canvas.cc',
'../ext/platform_canvas.h',
#'../ext/platform_canvas_linux.cc',
#'../ext/platform_canvas_mac.cc',
#'../ext/platform_canvas_skia.cc', dubliuoja platform_canvas_win todel gauname linking error'a
'../ext/platform_canvas_win.cc',
'../ext/platform_device.cc',
'../ext/platform_device.h',
#'../ext/platform_device_linux.cc',
#'../ext/platform_device_mac.cc',
'../ext/platform_device_win.cc',
#'../ext/SkMemory_new_handler.cpp', # dubliuoja SkMemory_malloc.c (bet gali buti kad jis yra tinkamesnis)
#'../ext/skia_sandbox_support_win.h',
#'../ext/skia_sandbox_support_win.cc',
#'../ext/skia_trace_shim.h',
#'../ext/skia_utils_mac.mm',
#'../ext/skia_utils_mac.h',
'../ext/skia_utils_win.cc',
'../ext/skia_utils_win.h',
'../ext/vector_canvas.cc',
'../ext/vector_canvas.h',
'../ext/vector_platform_device_emf_win.cc',
'../ext/vector_platform_device_emf_win.h',
'../ext/vector_platform_device_skia.cc',
'../ext/vector_platform_device_skia.h',
],
},
]
}
"""
def join_gyp_data(config_data, target_data):
for key, value in target_data.items():
if not key in config_data:
config_data[key] = value # new data
elif isinstance(value, list):
config_data[key].extend(value) # append list data
if key != "conditions": # remove duplicates
config_data[key] = list(set(config_data[key]))
def create_skia_dll_gyp(config_str, skia_gyp_file):
config_data = eval(config_str, {'__builtins__': None}, None)
config_target = config_data["targets"][0]
dependencies = config_target["dependencies"][:]
del config_target["dependencies"] # no longer needed - could be replaced by new dependencies
for target in dependencies:
path, target_name = target.split(":")
path = os.path.join(gyp_config_dir, path)
gyp_data = eval(open(path).read(), {'__builtins__': None}, None)
targets = gyp_data["targets"]
for target_data in targets:
if target_data["target_name"] == target_name:
join_gyp_data(config_target, target_data)
break
# remove original dependencies
config_target["dependencies"] = list(set(config_target.get("dependencies", [])).difference(set(dependencies)))
del config_target["msvs_guid"] # remove core.gyp guid
file = open(skia_gyp_file, "w")
file.write(pprint.pformat(config_data, width=10, indent=4))
file.close()
if __name__ == '__main__':
args = [] #sys.argv[1:]
# Set CWD to the directory containing this script.
# This allows us to launch it from other directories, in spite of gyp's
# finickyness about the current working directory.
# See http://b.corp.google.com/issue?id=5019517 ('Linux make build
# (from out dir) no longer runs skia_gyp correctly')
os.chdir(os.path.abspath(script_dir))
# create skia_main.gyp
skia_win32_file = "skia_win32.gyp"
file = open(skia_win32_file, "w")
file.write(skia_win32_config)
file.close()
# create win32_app.gyp
file = open(os.path.join(gyp_config_dir, "win32_app.gyp"), "w")
file.write(win32_app_config)
file.close()
skia_gyp_file = os.path.join(gyp_config_dir, "skia_dll_msvs2010e.gyp")
#variables = create_variables("msvs") # galima bus pratestuoti tik su {}
#print "variables: ", variables
include_file = os.path.join(gyp_config_dir, 'common.gypi')
depth = '.'
# create skia dll gyp
create_skia_dll_gyp(skia_dll_config, skia_gyp_file)
args.append(skia_win32_file)
# Always include common.gypi.
# We do this, rather than including common.gypi explicitly in all our gyp
# files, so that gyp files we use but do not maintain (e.g.,
# third_party/externals/libjpeg/libjpeg.gyp) will include common.gypi too.
args.append('-I' + include_file)
args.extend(['--depth', depth])
# Tell gyp to write the Makefiles into output_dir
args.extend(['--generator-output', os.path.abspath(output_dir)])
# Tell make to write its output into the same dir
args.extend(['-Goutput_dir=.'])
# Special arguments for generating Visual Studio projects:
# - msvs_version forces generation of Visual Studio 2010 project so that we
# can use msbuild.exe
# - msvs_abspath_output is a workaround for
# http://code.google.com/p/gyp/issues/detail?id=201
args.extend(['-Gmsvs_version=2010e'])
print 'Updating projects from gyp files...'
sys.stdout.flush()
# Off we go...
print "ARGS: ", args
sys.exit(gyp.main(args))
| {
"repo_name": "vosvos/skia-win32-dll",
"path": "skia_dll_msvs2010e.py",
"copies": "1",
"size": "11233",
"license": "bsd-3-clause",
"hash": 3872887527055753000,
"line_mean": 32.2469512195,
"line_max": 197,
"alpha_frac": 0.5312027063,
"autogenerated": false,
"ratio": 3.728177895784932,
"config_test": true,
"has_no_keywords": false,
"few_assignments": false,
"quality_score": 0.4759380602084932,
"avg_score": null,
"num_lines": null
} |
# 2012-2-12 Fix bug where quality was not taking precedence over order
# See http://code.google.com/p/mimeparse/issues/detail?id=10
# 2012-2-12 Fix bug where a quality value of 0 was being overwritten with 1
# See http://code.google.com/p/mimeparse/issues/detail?id=15
"""MIME-Type Parser
This module provides basic functions for handling mime-types. It can handle
matching mime-types against a list of media-ranges. See section 14.1 of
the HTTP specification [RFC 2616] for a complete explanation.
http://www.w3.org/Protocols/rfc2616/rfc2616-sec14.html#sec14.1
Contents:
- parse_mime_type(): Parses a mime-type into its component parts.
- parse_media_range(): Media-ranges are mime-types with wild-cards and a 'q' quality parameter.
- quality(): Determines the quality ('q') of a mime-type when compared against a list of media-ranges.
- quality_parsed(): Just like quality() except the second parameter must be pre-parsed.
- best_match(): Choose the mime-type with the highest quality ('q') from a list of candidates.
"""
from functools import reduce
__version__ = "0.1.3"
__author__ = 'Joe Gregorio'
__email__ = "joe@bitworking.org"
__credits__ = ""
def parse_mime_type(mime_type):
"""Carves up a mime-type and returns a tuple of the
(type, subtype, params) where 'params' is a dictionary
of all the parameters for the media range.
For example, the media range 'application/xhtml;q=0.5' would
get parsed into:
('application', 'xhtml', {'q', '0.5'})
"""
parts = mime_type.split(";")
params = dict([tuple([s.strip() for s in param.split("=")])\
for param in parts[1:] ])
full_type = parts[0].strip()
# Java URLConnection class sends an Accept header that includes a single "*"
# Turn it into a legal wildcard.
if full_type == '*': full_type = '*/*'
(type, subtype) = full_type.split("/")
return (type.strip(), subtype.strip(), params)
def parse_media_range(range):
"""Carves up a media range and returns a tuple of the
(type, subtype, params) where 'params' is a dictionary
of all the parameters for the media range.
For example, the media range 'application/*;q=0.5' would
get parsed into:
('application', '*', {'q', '0.5'})
In addition this function also guarantees that there
is a value for 'q' in the params dictionary, filling it
in with a proper default if necessary.
"""
(type, subtype, params) = parse_mime_type(range)
if 'q' not in params or not params['q'] or \
float(params['q']) > 1 or float(params['q']) < 0:
params['q'] = '1'
return (type, subtype, params)
def fitness_and_quality_parsed(mime_type, parsed_ranges):
"""Find the best match for a given mime-type against
a list of media_ranges that have already been
parsed by parse_media_range(). Returns a tuple of
the fitness value and the value of the 'q' quality
parameter of the best match, or (-1, 0) if no match
was found. Just as for quality_parsed(), 'parsed_ranges'
must be a list of parsed media ranges. """
best_fitness = -1
best_fit_q = 0
(target_type, target_subtype, target_params) =\
parse_media_range(mime_type)
for (type, subtype, params) in parsed_ranges:
if (type == target_type or type == '*' or target_type == '*') and \
(subtype == target_subtype or subtype == '*' or target_subtype == '*'):
param_matches = reduce(lambda x, y: x+y, [1 for (key, value) in \
list(target_params.items()) if key != 'q' and \
key in params and value == params[key]], 0)
fitness = (type == target_type) and 100 or 0
fitness += (subtype == target_subtype) and 10 or 0
fitness += param_matches
if fitness > best_fitness:
best_fitness = fitness
best_fit_q = params['q']
return float(best_fit_q), best_fitness
def quality_parsed(mime_type, parsed_ranges):
"""Find the best match for a given mime-type against
a list of media_ranges that have already been
parsed by parse_media_range(). Returns the
'q' quality parameter of the best match, 0 if no
match was found. This function bahaves the same as quality()
except that 'parsed_ranges' must be a list of
parsed media ranges. """
return fitness_and_quality_parsed(mime_type, parsed_ranges)[0]
def quality(mime_type, ranges):
"""Returns the quality 'q' of a mime-type when compared
against the media-ranges in ranges. For example:
>>> quality('text/html','text/*;q=0.3, text/html;q=0.7, text/html;level=1, text/html;level=2;q=0.4, */*;q=0.5')
0.7
"""
parsed_ranges = [parse_media_range(r) for r in ranges.split(",")]
return quality_parsed(mime_type, parsed_ranges)
def best_match(supported, header):
"""Takes a list of supported mime-types and finds the best
match for all the media-ranges listed in header. The value of
header must be a string that conforms to the format of the
HTTP Accept: header. The value of 'supported' is a list of
mime-types. The list of supported mime-types should be sorted
in order of increasing desirability, in case of a situation
where there is a tie
>>> best_match(['application/xbel+xml', 'text/xml'], 'text/*;q=0.5,*/*; q=0.1')
'text/xml'
"""
parsed_header = [parse_media_range(r) for r in _filter_blank(header.split(","))]
weighted_matches = []
pos = 0
for mime_type in supported:
weighted_matches.append((fitness_and_quality_parsed(mime_type,
parsed_header), pos, mime_type))
pos += 1
weighted_matches.sort()
return weighted_matches[-1][0][0] and weighted_matches[-1][2] or ''
def _filter_blank(i):
for s in i:
if s.strip():
yield s
| {
"repo_name": "bruth/restlib2",
"path": "restlib2/mimeparse.py",
"copies": "1",
"size": "5992",
"license": "bsd-2-clause",
"hash": 6903788586532053000,
"line_mean": 42.1079136691,
"line_max": 116,
"alpha_frac": 0.6320093458,
"autogenerated": false,
"ratio": 3.6693202694427436,
"config_test": false,
"has_no_keywords": false,
"few_assignments": false,
"quality_score": 0.4801329615242743,
"avg_score": null,
"num_lines": null
} |
#2013.06.06 V2
#C:\\Python27\python C:\\Users\Bing\Videos\read2.py
#cd C:\\Users\Bing\Videos
import os
#Set directory
old_dir = os.getcwd()
#os.chdir('/home/bing/Documents')
os.chdir('C:\\Users\Bing\Videos')
#Read data from input file and place in table
f = open('test.txt', 'r')
f.readline() #reads and ignores the first line
doc = f.read()
table = [s.strip().split('\t') for s in doc.splitlines()]
'''
#Error check
print '\nError Check 1'
print 'The table is'
print table
'''
#Find table size
rows = len(table)
print 'There are %r sample reads' % rows #rows should = 15
cols = len(table[0])
print 'There are %r categories' % cols #cols should = 69
'''
#Error Check
print '\nError Check 2'
print 'Column 14 is'
for x in range(0,rows):
print table[x][15]
'''
#Write data in new file
output = open('output.txt', 'w')
output.truncate()
for x in range(0, rows):
for y in range(0, cols):
#print table[x][y] #debug
output.write('%r\t' % table[x][y])
output.write('\n')
output.close()
#Make table of only KEEP
#print '\nTest Table Search'
table_keeps = []
for x in range (0, rows):
#print '\n table_keeps1 is %r' % table_keeps
if table[x][68] == 'KEEP': #look only at column 69, which is KEEP or REJECT
table_keeps.append(table[x])
keeps_rows = len(table_keeps)
print 'There are %r rows with cited mutations' % keeps_rows
output = open('output_keeps.txt', 'w')
output.truncate()
for x in range(0, keeps_rows):
for y in range(0, cols):
#print table[x][y] #debug
output.write('%r\t' % table_keeps[x][y])
output.write('\n')
output.close()
os.chdir(old_dir) | {
"repo_name": "kotoroshinoto/Cluster_SimpleJob_Generator",
"path": "pybin/MutectAnalysis/Drafts/methodslistDraft2.py",
"copies": "1",
"size": "1581",
"license": "unlicense",
"hash": 8929349348155658000,
"line_mean": 22.6119402985,
"line_max": 76,
"alpha_frac": 0.6654016445,
"autogenerated": false,
"ratio": 2.657142857142857,
"config_test": false,
"has_no_keywords": false,
"few_assignments": false,
"quality_score": 0.38225445016428566,
"avg_score": null,
"num_lines": null
} |
# 2013.08.22 22:25:33 Pacific Daylight Time
# Embedded file name: toontown.suit.Suit
from direct.actor import Actor
from otp.avatar import Avatar
import SuitDNA
from toontown.toonbase import ToontownGlobals
from pandac.PandaModules import *
from toontown.battle import SuitBattleGlobals
from direct.task.Task import Task
from toontown.battle import BattleProps
from toontown.toonbase import TTLocalizer
from pandac.PandaModules import VirtualFileMountHTTP, VirtualFileSystem, Filename, DSearchPath
from direct.showbase import AppRunnerGlobal
from otp.nametag import NametagGroup
import string
import os
aSize = 6.06
bSize = 5.29
cSize = 4.14
SuitDialogArray = []
SkelSuitDialogArray = []
AllSuits = (('walk', 'walk'), ('run', 'walk'), ('neutral', 'neutral'))
AllSuitsMinigame = (('victory', 'victory'),
('flail', 'flailing'),
('tug-o-war', 'tug-o-war'),
('slip-backward', 'slip-backward'),
('slip-forward', 'slip-forward'))
AllSuitsTutorialBattle = (('lose', 'lose'), ('pie-small-react', 'pie-small'), ('squirt-small-react', 'squirt-small'))
AllSuitsBattle = (('drop-react', 'anvil-drop'),
('flatten', 'drop'),
('sidestep-left', 'sidestep-left'),
('sidestep-right', 'sidestep-right'),
('squirt-large-react', 'squirt-large'),
('landing', 'landing'),
('reach', 'walknreach'),
('rake-react', 'rake'),
('hypnotized', 'hypnotize'),
('soak', 'soak'))
SuitsCEOBattle = (('sit', 'sit'),
('sit-eat-in', 'sit-eat-in'),
('sit-eat-loop', 'sit-eat-loop'),
('sit-eat-out', 'sit-eat-out'),
('sit-angry', 'sit-angry'),
('sit-hungry-left', 'leftsit-hungry'),
('sit-hungry-right', 'rightsit-hungry'),
('sit-lose', 'sit-lose'),
('tray-walk', 'tray-walk'),
('tray-neutral', 'tray-neutral'),
('sit-lose', 'sit-lose'))
f = (('throw-paper', 'throw-paper', 3.5), ('phone', 'phone', 3.5), ('shredder', 'shredder', 3.5))
p = (('pencil-sharpener', 'pencil-sharpener', 5),
('pen-squirt', 'pen-squirt', 5),
('hold-eraser', 'hold-eraser', 5),
('finger-wag', 'finger-wag', 5),
('hold-pencil', 'hold-pencil', 5))
ym = (('throw-paper', 'throw-paper', 5),
('golf-club-swing', 'golf-club-swing', 5),
('magic3', 'magic3', 5),
('rubber-stamp', 'rubber-stamp', 5),
('smile', 'smile', 5))
mm = (('speak', 'speak', 5),
('effort', 'effort', 5),
('magic1', 'magic1', 5),
('pen-squirt', 'fountain-pen', 5),
('finger-wag', 'finger-wag', 5))
ds = (('magic1', 'magic1', 5),
('magic2', 'magic2', 5),
('throw-paper', 'throw-paper', 5),
('magic3', 'magic3', 5))
hh = (('pen-squirt', 'fountain-pen', 7),
('glower', 'glower', 5),
('throw-paper', 'throw-paper', 5),
('magic1', 'magic1', 5),
('roll-o-dex', 'roll-o-dex', 5))
cr = (('pickpocket', 'pickpocket', 5), ('throw-paper', 'throw-paper', 3.5), ('glower', 'glower', 5))
tbc = (('cigar-smoke', 'cigar-smoke', 8),
('glower', 'glower', 5),
('song-and-dance', 'song-and-dance', 8),
('golf-club-swing', 'golf-club-swing', 5))
cc = (('speak', 'speak', 5),
('glower', 'glower', 5),
('phone', 'phone', 3.5),
('finger-wag', 'finger-wag', 5))
tm = (('speak', 'speak', 5),
('throw-paper', 'throw-paper', 5),
('pickpocket', 'pickpocket', 5),
('roll-o-dex', 'roll-o-dex', 5),
('finger-wag', 'finger-wag', 5))
nd = (('pickpocket', 'pickpocket', 5),
('roll-o-dex', 'roll-o-dex', 5),
('magic3', 'magic3', 5),
('smile', 'smile', 5))
gh = (('speak', 'speak', 5), ('pen-squirt', 'fountain-pen', 5), ('rubber-stamp', 'rubber-stamp', 5))
ms = (('effort', 'effort', 5),
('throw-paper', 'throw-paper', 5),
('stomp', 'stomp', 5),
('quick-jump', 'jump', 6))
tf = (('phone', 'phone', 5),
('smile', 'smile', 5),
('throw-object', 'throw-object', 5),
('glower', 'glower', 5))
m = (('speak', 'speak', 5),
('magic2', 'magic2', 5),
('magic1', 'magic1', 5),
('golf-club-swing', 'golf-club-swing', 5))
mh = (('magic1', 'magic1', 5),
('smile', 'smile', 5),
('golf-club-swing', 'golf-club-swing', 5),
('song-and-dance', 'song-and-dance', 5))
sc = (('throw-paper', 'throw-paper', 3.5), ('watercooler', 'watercooler', 5), ('pickpocket', 'pickpocket', 5))
pp = (('throw-paper', 'throw-paper', 5), ('glower', 'glower', 5), ('finger-wag', 'fingerwag', 5))
tw = (('throw-paper', 'throw-paper', 3.5),
('glower', 'glower', 5),
('magic2', 'magic2', 5),
('finger-wag', 'finger-wag', 5))
bc = (('phone', 'phone', 5), ('hold-pencil', 'hold-pencil', 5))
nc = (('phone', 'phone', 5), ('throw-object', 'throw-object', 5))
mb = (('magic1', 'magic1', 5), ('throw-paper', 'throw-paper', 3.5))
ls = (('throw-paper', 'throw-paper', 5), ('throw-object', 'throw-object', 5), ('hold-pencil', 'hold-pencil', 5))
rb = (('glower', 'glower', 5), ('magic1', 'magic1', 5), ('golf-club-swing', 'golf-club-swing', 5))
bf = (('pickpocket', 'pickpocket', 5),
('rubber-stamp', 'rubber-stamp', 5),
('shredder', 'shredder', 3.5),
('watercooler', 'watercooler', 5))
b = (('effort', 'effort', 5),
('throw-paper', 'throw-paper', 5),
('throw-object', 'throw-object', 5),
('magic1', 'magic1', 5))
dt = (('rubber-stamp', 'rubber-stamp', 5),
('throw-paper', 'throw-paper', 5),
('speak', 'speak', 5),
('finger-wag', 'fingerwag', 5),
('throw-paper', 'throw-paper', 5))
ac = (('throw-object', 'throw-object', 5),
('roll-o-dex', 'roll-o-dex', 5),
('stomp', 'stomp', 5),
('phone', 'phone', 5),
('throw-paper', 'throw-paper', 5))
bs = (('magic1', 'magic1', 5), ('throw-paper', 'throw-paper', 5), ('finger-wag', 'fingerwag', 5))
sd = (('magic2', 'magic2', 5),
('quick-jump', 'jump', 6),
('stomp', 'stomp', 5),
('magic3', 'magic3', 5),
('hold-pencil', 'hold-pencil', 5),
('throw-paper', 'throw-paper', 5))
le = (('speak', 'speak', 5),
('throw-object', 'throw-object', 5),
('glower', 'glower', 5),
('throw-paper', 'throw-paper', 5))
bw = (('finger-wag', 'fingerwag', 5),
('cigar-smoke', 'cigar-smoke', 8),
('gavel', 'gavel', 8),
('magic1', 'magic1', 5),
('throw-object', 'throw-object', 5),
('throw-paper', 'throw-paper', 5))
if not base.config.GetBool('want-new-cogs', 0):
ModelDict = {'a': ('/models/char/suitA-', 4),
'b': ('/models/char/suitB-', 4),
'c': ('/models/char/suitC-', 3.5)}
TutorialModelDict = {'a': ('/models/char/suitA-', 4),
'b': ('/models/char/suitB-', 4),
'c': ('/models/char/suitC-', 3.5)}
else:
ModelDict = {'a': ('/models/char/tt_a_ene_cga_', 4),
'b': ('/models/char/tt_a_ene_cgb_', 4),
'c': ('/models/char/tt_a_ene_cgc_', 3.5)}
TutorialModelDict = {'a': ('/models/char/tt_a_ene_cga_', 4),
'b': ('/models/char/tt_a_ene_cgb_', 4),
'c': ('/models/char/tt_a_ene_cgc_', 3.5)}
HeadModelDict = {'a': ('/models/char/suitA-', 4),
'b': ('/models/char/suitB-', 4),
'c': ('/models/char/suitC-', 3.5)}
def loadTutorialSuit():
loader.loadModelNode('phase_3.5/models/char/suitC-mod')
loadDialog(1)
def loadSuits(level):
loadSuitModelsAndAnims(level, flag=1)
loadDialog(level)
def unloadSuits(level):
loadSuitModelsAndAnims(level, flag=0)
unloadDialog(level)
def loadSuitModelsAndAnims(level, flag = 0):
for key in ModelDict.keys():
model, phase = ModelDict[key]
if base.config.GetBool('want-new-cogs', 0):
headModel, headPhase = HeadModelDict[key]
else:
headModel, headPhase = ModelDict[key]
if flag:
if base.config.GetBool('want-new-cogs', 0):
filepath = 'phase_3.5' + model + 'zero'
if cogExists(model + 'zero.bam'):
loader.loadModelNode(filepath)
else:
loader.loadModelNode('phase_3.5' + model + 'mod')
loader.loadModelNode('phase_' + str(headPhase) + headModel + 'heads')
else:
if base.config.GetBool('want-new-cogs', 0):
filepath = 'phase_3.5' + model + 'zero'
if cogExists(model + 'zero.bam'):
loader.unloadModel(filepath)
else:
loader.unloadModel('phase_3.5' + model + 'mod')
loader.unloadModel('phase_' + str(headPhase) + headModel + 'heads')
def cogExists(filePrefix):
searchPath = DSearchPath()
if AppRunnerGlobal.appRunner:
searchPath.appendDirectory(Filename.expandFrom('$TT_3_5_ROOT/phase_3.5'))
else:
basePath = os.path.expandvars('$TTMODELS') or './ttmodels'
searchPath.appendDirectory(Filename.fromOsSpecific(basePath + '/built/phase_3.5'))
filePrefix = filePrefix.strip('/')
pfile = Filename(filePrefix)
found = vfs.resolveFilename(pfile, searchPath)
if not found:
return False
return True
def loadSuitAnims(suit, flag = 1):
if suit in SuitDNA.suitHeadTypes:
try:
animList = eval(suit)
except NameError:
animList = ()
else:
print 'Invalid suit name: ', suit
return -1
for anim in animList:
phase = 'phase_' + str(anim[2])
filePrefix = ModelDict[bodyType][0]
animName = filePrefix + anim[1]
if flag:
loader.loadModelNode(animName)
else:
loader.unloadModel(animName)
def loadDialog(level):
global SuitDialogArray
if len(SuitDialogArray) > 0:
return
else:
loadPath = 'phase_3.5/audio/dial/'
SuitDialogFiles = ['COG_VO_grunt',
'COG_VO_murmur',
'COG_VO_statement',
'COG_VO_question']
for file in SuitDialogFiles:
SuitDialogArray.append(base.loadSfx(loadPath + file + '.ogg'))
SuitDialogArray.append(SuitDialogArray[2])
SuitDialogArray.append(SuitDialogArray[2])
def loadSkelDialog():
global SkelSuitDialogArray
if len(SkelSuitDialogArray) > 0:
return
else:
grunt = loader.loadSfx('phase_5/audio/sfx/Skel_COG_VO_grunt.ogg')
murmur = loader.loadSfx('phase_5/audio/sfx/Skel_COG_VO_murmur.ogg')
statement = loader.loadSfx('phase_5/audio/sfx/Skel_COG_VO_statement.ogg')
question = loader.loadSfx('phase_5/audio/sfx/Skel_COG_VO_question.ogg')
SkelSuitDialogArray = [grunt,
murmur,
statement,
question,
statement,
statement]
def unloadDialog(level):
global SuitDialogArray
SuitDialogArray = []
def unloadSkelDialog():
global SkelSuitDialogArray
SkelSuitDialogArray = []
def attachSuitHead(node, suitName):
suitIndex = SuitDNA.suitHeadTypes.index(suitName)
suitDNA = SuitDNA.SuitDNA()
suitDNA.newSuit(suitName)
suit = Suit()
suit.setDNA(suitDNA)
headParts = suit.getHeadParts()
head = node.attachNewNode('head')
for part in headParts:
copyPart = part.copyTo(head)
copyPart.setDepthTest(1)
copyPart.setDepthWrite(1)
suit.delete()
suit = None
p1 = Point3()
p2 = Point3()
head.calcTightBounds(p1, p2)
d = p2 - p1
biggest = max(d[0], d[2])
column = suitIndex % SuitDNA.suitsPerDept
s = (0.2 + column / 100.0) / biggest
pos = -0.14 + (SuitDNA.suitsPerDept - column - 1) / 135.0
head.setPosHprScale(0, 0, pos, 180, 0, 0, s, s, s)
return head
class Suit(Avatar.Avatar):
__module__ = __name__
healthColors = (Vec4(0, 1, 0, 1),
Vec4(1, 1, 0, 1),
Vec4(1, 0.5, 0, 1),
Vec4(1, 0, 0, 1),
Vec4(0.3, 0.3, 0.3, 1))
healthGlowColors = (Vec4(0.25, 1, 0.25, 0.5),
Vec4(1, 1, 0.25, 0.5),
Vec4(1, 0.5, 0.25, 0.5),
Vec4(1, 0.25, 0.25, 0.5),
Vec4(0.3, 0.3, 0.3, 0))
medallionColors = {'c': Vec4(0.863, 0.776, 0.769, 1.0),
's': Vec4(0.843, 0.745, 0.745, 1.0),
'l': Vec4(0.749, 0.776, 0.824, 1.0),
'm': Vec4(0.749, 0.769, 0.749, 1.0)}
def __init__(self):
try:
self.Suit_initialized
return
except:
self.Suit_initialized = 1
Avatar.Avatar.__init__(self)
self.setFont(ToontownGlobals.getSuitFont())
self.setPlayerType(NametagGroup.CCSuit)
self.setPickable(1)
self.leftHand = None
self.rightHand = None
self.shadowJoint = None
self.nametagJoint = None
self.headParts = []
self.healthBar = None
self.healthCondition = 0
self.isDisguised = 0
self.isWaiter = 0
self.isRental = 0
return
def delete(self):
try:
self.Suit_deleted
except:
self.Suit_deleted = 1
if self.leftHand:
self.leftHand.removeNode()
self.leftHand = None
if self.rightHand:
self.rightHand.removeNode()
self.rightHand = None
if self.shadowJoint:
self.shadowJoint.removeNode()
self.shadowJoint = None
if self.nametagJoint:
self.nametagJoint.removeNode()
self.nametagJoint = None
for part in self.headParts:
part.removeNode()
self.headParts = []
self.removeHealthBar()
Avatar.Avatar.delete(self)
return
def setHeight(self, height):
Avatar.Avatar.setHeight(self, height)
self.nametag3d.setPos(0, 0, height + 1.0)
def getRadius(self):
return 2
def setDNAString(self, dnaString):
self.dna = SuitDNA.SuitDNA()
self.dna.makeFromNetString(dnaString)
self.setDNA(self.dna)
def setDNA(self, dna):
if self.style:
pass
else:
self.style = dna
self.generateSuit()
self.initializeDropShadow()
self.initializeNametag3d()
def generateSuit(self):
dna = self.style
self.headParts = []
self.headColor = None
self.headTexture = None
self.loseActor = None
self.isSkeleton = 0
if dna.name == 'f':
self.scale = 4.0 / cSize
self.handColor = SuitDNA.corpPolyColor
self.generateBody()
self.generateHead('flunky')
self.generateHead('glasses')
self.setHeight(4.88)
elif dna.name == 'p':
self.scale = 3.35 / bSize
self.handColor = SuitDNA.corpPolyColor
self.generateBody()
self.generateHead('pencilpusher')
self.setHeight(5.0)
elif dna.name == 'ym':
self.scale = 4.125 / aSize
self.handColor = SuitDNA.corpPolyColor
self.generateBody()
self.generateHead('yesman')
self.setHeight(5.28)
elif dna.name == 'mm':
self.scale = 2.5 / cSize
self.handColor = SuitDNA.corpPolyColor
self.generateBody()
self.generateHead('micromanager')
self.setHeight(3.25)
elif dna.name == 'ds':
self.scale = 4.5 / bSize
self.handColor = SuitDNA.corpPolyColor
self.generateBody()
self.generateHead('beancounter')
self.setHeight(6.08)
elif dna.name == 'hh':
self.scale = 6.5 / aSize
self.handColor = SuitDNA.corpPolyColor
self.generateBody()
self.generateHead('headhunter')
self.setHeight(7.45)
elif dna.name == 'cr':
self.scale = 6.75 / cSize
self.handColor = VBase4(0.85, 0.55, 0.55, 1.0)
self.generateBody()
self.headTexture = 'corporate-raider.jpg'
self.generateHead('flunky')
self.setHeight(8.23)
elif dna.name == 'tbc':
self.scale = 7.0 / aSize
self.handColor = VBase4(0.75, 0.95, 0.75, 1.0)
self.generateBody()
self.generateHead('bigcheese')
self.setHeight(9.34)
elif dna.name == 'bf':
self.scale = 4.0 / cSize
self.handColor = SuitDNA.legalPolyColor
self.generateBody()
self.headTexture = 'bottom-feeder.jpg'
self.generateHead('tightwad')
self.setHeight(4.81)
elif dna.name == 'b':
self.scale = 4.375 / bSize
self.handColor = VBase4(0.95, 0.95, 1.0, 1.0)
self.generateBody()
self.headTexture = 'blood-sucker.jpg'
self.generateHead('movershaker')
self.setHeight(6.17)
elif dna.name == 'dt':
self.scale = 4.25 / aSize
self.handColor = SuitDNA.legalPolyColor
self.generateBody()
self.headTexture = 'double-talker.jpg'
self.generateHead('twoface')
self.setHeight(5.63)
elif dna.name == 'ac':
self.scale = 4.35 / bSize
self.handColor = SuitDNA.legalPolyColor
self.generateBody()
self.generateHead('ambulancechaser')
self.setHeight(6.39)
elif dna.name == 'bs':
self.scale = 4.5 / aSize
self.handColor = SuitDNA.legalPolyColor
self.generateBody()
self.generateHead('backstabber')
self.setHeight(6.71)
elif dna.name == 'sd':
self.scale = 5.65 / bSize
self.handColor = VBase4(0.5, 0.8, 0.75, 1.0)
self.generateBody()
self.headTexture = 'spin-doctor.jpg'
self.generateHead('telemarketer')
self.setHeight(7.9)
elif dna.name == 'le':
self.scale = 7.125 / aSize
self.handColor = VBase4(0.25, 0.25, 0.5, 1.0)
self.generateBody()
self.generateHead('legaleagle')
self.setHeight(8.27)
elif dna.name == 'bw':
self.scale = 7.0 / aSize
self.handColor = SuitDNA.legalPolyColor
self.generateBody()
self.generateHead('bigwig')
self.setHeight(8.69)
elif dna.name == 'sc':
self.scale = 3.6 / cSize
self.handColor = SuitDNA.moneyPolyColor
self.generateBody()
self.generateHead('coldcaller')
self.setHeight(4.77)
elif dna.name == 'pp':
self.scale = 3.55 / aSize
self.handColor = VBase4(1.0, 0.5, 0.6, 1.0)
self.generateBody()
self.generateHead('pennypincher')
self.setHeight(5.26)
elif dna.name == 'tw':
self.scale = 4.5 / cSize
self.handColor = SuitDNA.moneyPolyColor
self.generateBody()
self.generateHead('tightwad')
self.setHeight(5.41)
elif dna.name == 'bc':
self.scale = 4.4 / bSize
self.handColor = SuitDNA.moneyPolyColor
self.generateBody()
self.generateHead('beancounter')
self.setHeight(5.95)
elif dna.name == 'nc':
self.scale = 5.25 / aSize
self.handColor = SuitDNA.moneyPolyColor
self.generateBody()
self.generateHead('numbercruncher')
self.setHeight(7.22)
elif dna.name == 'mb':
self.scale = 5.3 / cSize
self.handColor = SuitDNA.moneyPolyColor
self.generateBody()
self.generateHead('moneybags')
self.setHeight(6.97)
elif dna.name == 'ls':
self.scale = 6.5 / bSize
self.handColor = VBase4(0.5, 0.85, 0.75, 1.0)
self.generateBody()
self.generateHead('loanshark')
self.setHeight(8.58)
elif dna.name == 'rb':
self.scale = 7.0 / aSize
self.handColor = SuitDNA.moneyPolyColor
self.generateBody()
self.headTexture = 'robber-baron.jpg'
self.generateHead('yesman')
self.setHeight(8.95)
elif dna.name == 'cc':
self.scale = 3.5 / cSize
self.handColor = VBase4(0.55, 0.65, 1.0, 1.0)
self.headColor = VBase4(0.25, 0.35, 1.0, 1.0)
self.generateBody()
self.generateHead('coldcaller')
self.setHeight(4.63)
elif dna.name == 'tm':
self.scale = 3.75 / bSize
self.handColor = SuitDNA.salesPolyColor
self.generateBody()
self.generateHead('telemarketer')
self.setHeight(5.24)
elif dna.name == 'nd':
self.scale = 4.35 / aSize
self.handColor = SuitDNA.salesPolyColor
self.generateBody()
self.headTexture = 'name-dropper.jpg'
self.generateHead('numbercruncher')
self.setHeight(5.98)
elif dna.name == 'gh':
self.scale = 4.75 / cSize
self.handColor = SuitDNA.salesPolyColor
self.generateBody()
self.generateHead('gladhander')
self.setHeight(6.4)
elif dna.name == 'ms':
self.scale = 4.75 / bSize
self.handColor = SuitDNA.salesPolyColor
self.generateBody()
self.generateHead('movershaker')
self.setHeight(6.7)
elif dna.name == 'tf':
self.scale = 5.25 / aSize
self.handColor = SuitDNA.salesPolyColor
self.generateBody()
self.generateHead('twoface')
self.setHeight(6.95)
elif dna.name == 'm':
self.scale = 5.75 / aSize
self.handColor = SuitDNA.salesPolyColor
self.generateBody()
self.headTexture = 'mingler.jpg'
self.generateHead('twoface')
self.setHeight(7.61)
elif dna.name == 'mh':
self.scale = 7.0 / aSize
self.handColor = SuitDNA.salesPolyColor
self.generateBody()
self.generateHead('yesman')
self.setHeight(8.95)
self.setName(SuitBattleGlobals.SuitAttributes[dna.name]['name'])
self.getGeomNode().setScale(self.scale)
self.generateHealthBar()
self.generateCorporateMedallion()
return
def generateBody(self):
animDict = self.generateAnimDict()
filePrefix, bodyPhase = ModelDict[self.style.body]
if base.config.GetBool('want-new-cogs', 0):
if cogExists(filePrefix + 'zero.bam'):
self.loadModel('phase_3.5' + filePrefix + 'zero')
else:
self.loadModel('phase_3.5' + filePrefix + 'mod')
else:
self.loadModel('phase_3.5' + filePrefix + 'mod')
self.loadAnims(animDict)
self.setSuitClothes()
def generateAnimDict(self):
animDict = {}
filePrefix, bodyPhase = ModelDict[self.style.body]
for anim in AllSuits:
animDict[anim[0]] = 'phase_' + str(bodyPhase) + filePrefix + anim[1]
for anim in AllSuitsMinigame:
animDict[anim[0]] = 'phase_4' + filePrefix + anim[1]
for anim in AllSuitsTutorialBattle:
filePrefix, bodyPhase = TutorialModelDict[self.style.body]
animDict[anim[0]] = 'phase_' + str(bodyPhase) + filePrefix + anim[1]
for anim in AllSuitsBattle:
animDict[anim[0]] = 'phase_5' + filePrefix + anim[1]
if not base.config.GetBool('want-new-cogs', 0):
if self.style.body == 'a':
animDict['neutral'] = 'phase_4/models/char/suitA-neutral'
for anim in SuitsCEOBattle:
animDict[anim[0]] = 'phase_12/models/char/suitA-' + anim[1]
elif self.style.body == 'b':
animDict['neutral'] = 'phase_4/models/char/suitB-neutral'
for anim in SuitsCEOBattle:
animDict[anim[0]] = 'phase_12/models/char/suitB-' + anim[1]
elif self.style.body == 'c':
animDict['neutral'] = 'phase_3.5/models/char/suitC-neutral'
for anim in SuitsCEOBattle:
animDict[anim[0]] = 'phase_12/models/char/suitC-' + anim[1]
try:
animList = eval(self.style.name)
except NameError:
animList = ()
for anim in animList:
phase = 'phase_' + str(anim[2])
animDict[anim[0]] = phase + filePrefix + anim[1]
return animDict
def initializeBodyCollisions(self, collIdStr):
Avatar.Avatar.initializeBodyCollisions(self, collIdStr)
if not self.ghostMode:
self.collNode.setCollideMask(self.collNode.getIntoCollideMask() | ToontownGlobals.PieBitmask)
def setSuitClothes(self, modelRoot = None):
if not modelRoot:
modelRoot = self
dept = self.style.dept
phase = 3.5
def __doItTheOldWay__():
torsoTex = loader.loadTexture('phase_%s/maps/%s_blazer.jpg' % (phase, dept))
torsoTex.setMinfilter(Texture.FTLinearMipmapLinear)
torsoTex.setMagfilter(Texture.FTLinear)
legTex = loader.loadTexture('phase_%s/maps/%s_leg.jpg' % (phase, dept))
legTex.setMinfilter(Texture.FTLinearMipmapLinear)
legTex.setMagfilter(Texture.FTLinear)
armTex = loader.loadTexture('phase_%s/maps/%s_sleeve.jpg' % (phase, dept))
armTex.setMinfilter(Texture.FTLinearMipmapLinear)
armTex.setMagfilter(Texture.FTLinear)
modelRoot.find('**/torso').setTexture(torsoTex, 1)
modelRoot.find('**/arms').setTexture(armTex, 1)
modelRoot.find('**/legs').setTexture(legTex, 1)
modelRoot.find('**/hands').setColor(self.handColor)
self.leftHand = self.find('**/joint_Lhold')
self.rightHand = self.find('**/joint_Rhold')
self.shadowJoint = self.find('**/joint_shadow')
self.nametagJoint = self.find('**/joint_nameTag')
if base.config.GetBool('want-new-cogs', 0):
if dept == 'c':
texType = 'bossbot'
elif dept == 'm':
texType = 'cashbot'
elif dept == 'l':
texType = 'lawbot'
elif dept == 's':
texType = 'sellbot'
if self.find('**/body').isEmpty():
__doItTheOldWay__()
else:
filepath = 'phase_3.5/maps/tt_t_ene_' + texType + '.jpg'
if cogExists('/maps/tt_t_ene_' + texType + '.jpg'):
bodyTex = loader.loadTexture(filepath)
self.find('**/body').setTexture(bodyTex, 1)
self.leftHand = self.find('**/def_joint_left_hold')
self.rightHand = self.find('**/def_joint_right_hold')
self.shadowJoint = self.find('**/def_shadow')
self.nametagJoint = self.find('**/def_nameTag')
else:
__doItTheOldWay__()
def makeWaiter(self, modelRoot = None):
if not modelRoot:
modelRoot = self
self.isWaiter = 1
torsoTex = loader.loadTexture('phase_3.5/maps/waiter_m_blazer.jpg')
torsoTex.setMinfilter(Texture.FTLinearMipmapLinear)
torsoTex.setMagfilter(Texture.FTLinear)
legTex = loader.loadTexture('phase_3.5/maps/waiter_m_leg.jpg')
legTex.setMinfilter(Texture.FTLinearMipmapLinear)
legTex.setMagfilter(Texture.FTLinear)
armTex = loader.loadTexture('phase_3.5/maps/waiter_m_sleeve.jpg')
armTex.setMinfilter(Texture.FTLinearMipmapLinear)
armTex.setMagfilter(Texture.FTLinear)
modelRoot.find('**/torso').setTexture(torsoTex, 1)
modelRoot.find('**/arms').setTexture(armTex, 1)
modelRoot.find('**/legs').setTexture(legTex, 1)
def makeRentalSuit(self, suitType, modelRoot = None):
if not modelRoot:
modelRoot = self.getGeomNode()
if suitType == 's':
torsoTex = loader.loadTexture('phase_3.5/maps/tt_t_ene_sellbotRental_blazer.jpg')
legTex = loader.loadTexture('phase_3.5/maps/tt_t_ene_sellbotRental_leg.jpg')
armTex = loader.loadTexture('phase_3.5/maps/tt_t_ene_sellbotRental_sleeve.jpg')
handTex = loader.loadTexture('phase_3.5/maps/tt_t_ene_sellbotRental_hand.jpg')
else:
self.notify.warning('No rental suit for cog type %s' % suitType)
return
self.isRental = 1
modelRoot.find('**/torso').setTexture(torsoTex, 1)
modelRoot.find('**/arms').setTexture(armTex, 1)
modelRoot.find('**/legs').setTexture(legTex, 1)
modelRoot.find('**/hands').setTexture(handTex, 1)
def generateHead(self, headType):
if base.config.GetBool('want-new-cogs', 0):
filePrefix, phase = HeadModelDict[self.style.body]
else:
filePrefix, phase = ModelDict[self.style.body]
headModel = loader.loadModel('phase_' + str(phase) + filePrefix + 'heads')
headReferences = headModel.findAllMatches('**/' + headType)
for i in xrange(0, headReferences.getNumPaths()):
if base.config.GetBool('want-new-cogs', 0):
headPart = self.instance(headReferences.getPath(i), 'modelRoot', 'to_head')
if not headPart:
headPart = self.instance(headReferences.getPath(i), 'modelRoot', 'joint_head')
else:
headPart = self.instance(headReferences.getPath(i), 'modelRoot', 'joint_head')
if self.headTexture:
headTex = loader.loadTexture('phase_' + str(phase) + '/maps/' + self.headTexture)
headTex.setMinfilter(Texture.FTLinearMipmapLinear)
headTex.setMagfilter(Texture.FTLinear)
headPart.setTexture(headTex, 1)
if self.headColor:
headPart.setColor(self.headColor)
self.headParts.append(headPart)
headModel.removeNode()
def generateCorporateTie(self, modelPath = None):
if not modelPath:
modelPath = self
dept = self.style.dept
tie = modelPath.find('**/tie')
if tie.isEmpty():
self.notify.warning('skelecog has no tie model!!!')
return
if dept == 'c':
tieTex = loader.loadTexture('phase_5/maps/cog_robot_tie_boss.jpg')
elif dept == 's':
tieTex = loader.loadTexture('phase_5/maps/cog_robot_tie_sales.jpg')
elif dept == 'l':
tieTex = loader.loadTexture('phase_5/maps/cog_robot_tie_legal.jpg')
elif dept == 'm':
tieTex = loader.loadTexture('phase_5/maps/cog_robot_tie_money.jpg')
tieTex.setMinfilter(Texture.FTLinearMipmapLinear)
tieTex.setMagfilter(Texture.FTLinear)
tie.setTexture(tieTex, 1)
def generateCorporateMedallion(self):
icons = loader.loadModel('phase_3/models/gui/cog_icons')
dept = self.style.dept
if base.config.GetBool('want-new-cogs', 0):
chestNull = self.find('**/def_joint_attachMeter')
if chestNull.isEmpty():
chestNull = self.find('**/joint_attachMeter')
else:
chestNull = self.find('**/joint_attachMeter')
if dept == 'c':
self.corpMedallion = icons.find('**/CorpIcon').copyTo(chestNull)
elif dept == 's':
self.corpMedallion = icons.find('**/SalesIcon').copyTo(chestNull)
elif dept == 'l':
self.corpMedallion = icons.find('**/LegalIcon').copyTo(chestNull)
elif dept == 'm':
self.corpMedallion = icons.find('**/MoneyIcon').copyTo(chestNull)
self.corpMedallion.setPosHprScale(0.02, 0.05, 0.04, 180.0, 0.0, 0.0, 0.51, 0.51, 0.51)
self.corpMedallion.setColor(self.medallionColors[dept])
icons.removeNode()
def generateHealthBar(self):
self.removeHealthBar()
model = loader.loadModel('phase_3.5/models/gui/matching_game_gui')
button = model.find('**/minnieCircle')
button.setScale(3.0)
button.setH(180.0)
button.setColor(self.healthColors[0])
if base.config.GetBool('want-new-cogs', 0):
chestNull = self.find('**/def_joint_attachMeter')
if chestNull.isEmpty():
chestNull = self.find('**/joint_attachMeter')
else:
chestNull = self.find('**/joint_attachMeter')
button.reparentTo(chestNull)
self.healthBar = button
glow = BattleProps.globalPropPool.getProp('glow')
glow.reparentTo(self.healthBar)
glow.setScale(0.28)
glow.setPos(-0.005, 0.01, 0.015)
glow.setColor(self.healthGlowColors[0])
button.flattenLight()
self.healthBarGlow = glow
self.healthBar.hide()
self.healthCondition = 0
def reseatHealthBarForSkele(self):
self.healthBar.setPos(0.0, 0.1, 0.0)
def updateHealthBar(self, hp, forceUpdate = 0):
if hp > self.currHP:
hp = self.currHP
self.currHP -= hp
health = float(self.currHP) / float(self.maxHP)
if health > 0.95:
condition = 0
elif health > 0.7:
condition = 1
elif health > 0.3:
condition = 2
elif health > 0.05:
condition = 3
elif health > 0.0:
condition = 4
else:
condition = 5
if self.healthCondition != condition or forceUpdate:
if condition == 4:
blinkTask = Task.loop(Task(self.__blinkRed), Task.pause(0.75), Task(self.__blinkGray), Task.pause(0.1))
taskMgr.add(blinkTask, self.uniqueName('blink-task'))
elif condition == 5:
if self.healthCondition == 4:
taskMgr.remove(self.uniqueName('blink-task'))
blinkTask = Task.loop(Task(self.__blinkRed), Task.pause(0.25), Task(self.__blinkGray), Task.pause(0.1))
taskMgr.add(blinkTask, self.uniqueName('blink-task'))
else:
self.healthBar.setColor(self.healthColors[condition], 1)
self.healthBarGlow.setColor(self.healthGlowColors[condition], 1)
self.healthCondition = condition
def __blinkRed(self, task):
self.healthBar.setColor(self.healthColors[3], 1)
self.healthBarGlow.setColor(self.healthGlowColors[3], 1)
if self.healthCondition == 5:
self.healthBar.setScale(1.17)
return Task.done
def __blinkGray(self, task):
if not self.healthBar:
return
self.healthBar.setColor(self.healthColors[4], 1)
self.healthBarGlow.setColor(self.healthGlowColors[4], 1)
if self.healthCondition == 5:
self.healthBar.setScale(1.0)
return Task.done
def removeHealthBar(self):
if self.healthBar:
self.healthBar.removeNode()
self.healthBar = None
if self.healthCondition == 4 or self.healthCondition == 5:
taskMgr.remove(self.uniqueName('blink-task'))
self.healthCondition = 0
return
def getLoseActor(self):
if base.config.GetBool('want-new-cogs', 0):
if self.find('**/body'):
return self
if self.loseActor == None:
if not self.isSkeleton:
filePrefix, phase = TutorialModelDict[self.style.body]
loseModel = 'phase_' + str(phase) + filePrefix + 'lose-mod'
loseAnim = 'phase_' + str(phase) + filePrefix + 'lose'
self.loseActor = Actor.Actor(loseModel, {'lose': loseAnim})
loseNeck = self.loseActor.find('**/joint_head')
for part in self.headParts:
part.instanceTo(loseNeck)
if self.isWaiter:
self.makeWaiter(self.loseActor)
else:
self.setSuitClothes(self.loseActor)
else:
loseModel = 'phase_5/models/char/cog' + string.upper(self.style.body) + '_robot-lose-mod'
filePrefix, phase = TutorialModelDict[self.style.body]
loseAnim = 'phase_' + str(phase) + filePrefix + 'lose'
self.loseActor = Actor.Actor(loseModel, {'lose': loseAnim})
self.generateCorporateTie(self.loseActor)
self.loseActor.setScale(self.scale)
self.loseActor.setPos(self.getPos())
self.loseActor.setHpr(self.getHpr())
shadowJoint = self.loseActor.find('**/joint_shadow')
dropShadow = loader.loadModel('phase_3/models/props/drop_shadow')
dropShadow.setScale(0.45)
dropShadow.setColor(0.0, 0.0, 0.0, 0.5)
dropShadow.reparentTo(shadowJoint)
return self.loseActor
def cleanupLoseActor(self):
self.notify.debug('cleanupLoseActor()')
if self.loseActor != None:
self.notify.debug('cleanupLoseActor() - got one')
self.loseActor.cleanup()
self.loseActor = None
return
def makeSkeleton(self):
model = 'phase_5/models/char/cog' + string.upper(self.style.body) + '_robot-zero'
anims = self.generateAnimDict()
anim = self.getCurrentAnim()
dropShadow = self.dropShadow
if not dropShadow.isEmpty():
dropShadow.reparentTo(hidden)
self.removePart('modelRoot')
self.loadModel(model)
self.loadAnims(anims)
self.getGeomNode().setScale(self.scale * 1.0173)
self.generateHealthBar()
self.generateCorporateMedallion()
self.generateCorporateTie()
self.setHeight(self.height)
parts = self.findAllMatches('**/pPlane*')
for partNum in xrange(0, parts.getNumPaths()):
bb = parts.getPath(partNum)
bb.setTwoSided(1)
self.setName(TTLocalizer.Skeleton)
nameInfo = TTLocalizer.SuitBaseNameWithLevel % {'name': self.name,
'dept': self.getStyleDept(),
'level': self.getActualLevel()}
self.setDisplayName(nameInfo)
self.leftHand = self.find('**/joint_Lhold')
self.rightHand = self.find('**/joint_Rhold')
self.shadowJoint = self.find('**/joint_shadow')
self.nametagNull = self.find('**/joint_nameTag')
if not dropShadow.isEmpty():
dropShadow.setScale(0.75)
if not self.shadowJoint.isEmpty():
dropShadow.reparentTo(self.shadowJoint)
self.loop(anim)
self.isSkeleton = 1
def getHeadParts(self):
return self.headParts
def getRightHand(self):
return self.rightHand
def getLeftHand(self):
return self.leftHand
def getShadowJoint(self):
return self.shadowJoint
def getNametagJoints(self):
return []
def getDialogueArray(self):
if self.isSkeleton:
loadSkelDialog()
return SkelSuitDialogArray
else:
return SuitDialogArray
# okay decompyling C:\Users\Maverick\Documents\Visual Studio 2010\Projects\Unfreezer\py2\toontown\suit\Suit.pyc
# decompiled 1 files: 1 okay, 0 failed, 0 verify failed
# 2013.08.22 22:25:34 Pacific Daylight Time
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# 2013.09.29 18:39:30 W. Europe Daylight Time
# Embedded file name: scripts/client/messenger/gui/Scaleform/channels/bw_battle_controllers.py
import BattleReplay
from LanguageFilterControll import testIfEnglish
from debug_utils import LOG_DEBUG, LOG_ERROR
from gui.BattleContext import g_battleContext
from gui.shared import g_eventBus, EVENT_BUS_SCOPE
from gui.shared.events import MessengerEvent
from helpers import i18n
from messenger import g_settings
from messenger.gui.Scaleform.view.BattleChannelView import BattleChannelView
from messenger.gui.interfaces import IChannelController
from messenger.m_constants import BATTLE_CHANNEL, PROTO_TYPE, MESSENGER_I18N_FILE
from messenger.ext.player_helpers import isCurrentPlayer
from messenger.proto import proto_getter
from messenger.proto.bw import cooldown, entities
from messenger.storage import storage_getter
class _ChannelController(IChannelController):
_teamChannel = entities.BWChannelLightEntity(-1)
def __init__(self, channel):
super(_ChannelController, self).__init__()
self._channel = channel
channel.onConnectStateChanged += self._onConnectStateChanged
self._view = None
return
def __del__(self):
LOG_DEBUG('Channel controller deleted:', self)
@proto_getter(PROTO_TYPE.BW)
def proto(self):
return None
def getChannel(self):
return self._channel
def setView(self, view):
if self._view:
LOG_ERROR('View is defined', self._view)
elif isinstance(view, BattleChannelView):
self._view = view
self._view.setController(self)
else:
LOG_ERROR('View must be extends BattleEntry', self._view)
def removeView(self):
if self._view is not None:
self._view.removeController()
self._view = None
return
def clear(self):
self._channel.onConnectStateChanged -= self._onConnectStateChanged
self._channel = None
self.removeView()
return
def activate(self):
self._onConnectStateChanged(self._channel)
def getFullPlayerName(self, chatAction):
return g_battleContext.getFullPlayerName(accID=chatAction.originator)
def getMessageColors(self, message):
return (g_settings.getColorScheme('battle/player').getHexStr('unknown'), g_settings.getColorScheme('battle/message').getHexStr('unknown'))
def canSendMessage(self):
result, errorMsg = True, ''
if cooldown.isBroadcatInCooldown():
result, errorMsg = False, cooldown.BROADCAST_COOL_DOWN_MESSAGE
return (result, errorMsg)
def sendMessage(self, message):
result, errorMsg = self.canSendMessage()
if result:
self.proto.channels.sendMessage(self._channel.getID(), message)
else:
self._view.addMessage(g_settings.htmlTemplates.format('battleErrorMessage', ctx={'error': errorMsg}))
return result
def addMessage(self, message, doFormatting = True):
isCurrent = isCurrentPlayer(message.originator)
if doFormatting:
text = self._format(message, message.data)
else:
text = message.data
"""
if testIfEnglish(message.data):
text = text + " en"
else:
text = text + " nonEn"
"""
if testIfEnglish(message.data):
self._channel.addMessage(text)
if self._view:
self._view.addMessage(text, isCurrentPlayer=isCurrent)
if BattleReplay.g_replayCtrl.isRecording:
BattleReplay.g_replayCtrl.onBattleChatMessage(text, isCurrent)
return True
def addCommand(self, command):
cmdData = command.getProtoData()
isCurrent = isCurrentPlayer(cmdData.originator)
text = self._format(cmdData, command.getCommandText())
if BattleReplay.g_replayCtrl.isRecording:
BattleReplay.g_replayCtrl.onBattleChatMessage(text, isCurrent)
if self._view:
self._view.addMessage(text, isCurrentPlayer=isCurrent)
def _format(self, chatAction, msgText):
playerColor, msgColor = self.getMessageColors(chatAction)
return g_settings.battle.messageFormat % {'playerColor': playerColor,
'playerName': unicode(self.getFullPlayerName(chatAction), 'utf-8', errors='ignore'),
'messageColor': msgColor,
'messageText': msgText}
def _onConnectStateChanged(self, channel):
pass
class TeamChannelController(_ChannelController):
def __init__(self, channel):
super(TeamChannelController, self).__init__(channel)
_ChannelController._teamChannel.setID(channel.getID())
def __del__(self):
self._teamChannel.setID(-1)
super(TeamChannelController, self).__del__()
def getMessageColors(self, message):
dbID = message.originator
mColor = g_settings.getColorScheme('battle/message').getHexStr('team')
pColorScheme = g_settings.getColorScheme('battle/player')
pColor = pColorScheme.getHexStr('teammate')
if isCurrentPlayer(dbID):
pColor = pColorScheme.getHexStr('himself')
elif g_battleContext.isTeamKiller(accID=dbID):
pColor = pColorScheme.getHexStr('teamkiller')
elif g_battleContext.isSquadMan(accID=dbID):
pColor = pColorScheme.getHexStr('squadman')
return (pColor, mColor)
def _onConnectStateChanged(self, channel):
if channel.isJoined():
g_eventBus.handleEvent(MessengerEvent(MessengerEvent.BATTLE_CHANNEL_CTRL_INITED, {'settings': BATTLE_CHANNEL.TEAM,
'controller': self}), scope=EVENT_BUS_SCOPE.BATTLE)
class CommonChannelController(_ChannelController):
__i18n_ally = i18n.makeString('#{0:>s}:battle/unknown/ally'.format(MESSENGER_I18N_FILE))
__i18n_enemy = i18n.makeString('#{0:>s}:battle/unknown/enemy'.format(MESSENGER_I18N_FILE))
@storage_getter('channels')
def channelsStorage(self):
return None
def getFullPlayerName(self, chatAction):
fullName = g_battleContext.getFullPlayerName(accID=chatAction.originator)
if not len(fullName):
channel = self.channelsStorage.getChannel(self._teamChannel)
if channel and channel.hasMember(chatAction.originator):
fullName = self.__i18n_ally
else:
fullName = self.__i18n_enemy
return fullName
def getMessageColors(self, message):
dbID = message.originator
mColor = g_settings.getColorScheme('battle/message').getHexStr('common')
pColorScheme = g_settings.getColorScheme('battle/player')
pColor = pColorScheme.getHexStr('unknown')
if isCurrentPlayer(dbID):
pColor = pColorScheme.getHexStr('himself')
else:
channel = self.channelsStorage.getChannel(self._teamChannel)
if channel and channel.hasMember(dbID):
if g_battleContext.isTeamKiller(accID=dbID):
pColor = pColorScheme.getHexStr('teamkiller')
elif g_battleContext.isSquadMan(accID=dbID):
pColor = pColorScheme.getHexStr('squadman')
else:
pColor = pColorScheme.getHexStr('teammate')
elif self._channel.hasMember(dbID):
pColor = pColorScheme.getHexStr('enemy')
return (pColor, mColor)
def _onConnectStateChanged(self, channel):
if channel.isJoined():
g_eventBus.handleEvent(MessengerEvent(MessengerEvent.BATTLE_CHANNEL_CTRL_INITED, {'settings': BATTLE_CHANNEL.COMMON,
'controller': self}), scope=EVENT_BUS_SCOPE.BATTLE)
class SquadChannelController(_ChannelController):
def __init__(self, channel):
super(SquadChannelController, self).__init__(channel)
def addMessage(self, message, doFormatting = True):
isCurrent = isCurrentPlayer(message.originator)
if doFormatting:
text = self._format(message, message.data)
else:
text = message.data
if BattleReplay.g_replayCtrl.isRecording:
BattleReplay.g_replayCtrl.onBattleChatMessage(text, isCurrent)
if self._view:
self._view.addMessage(text, isCurrentPlayer=isCurrent)
return True
def getFullPlayerName(self, chatAction):
pName = None
try:
pName = chatAction.originatorNickName.encode('utf-8')
except UnicodeError:
LOG_ERROR('Can not encode nick name', chatAction)
return g_battleContext.getFullPlayerName(accID=chatAction.originator, pName=pName)
def getMessageColors(self, message):
dbID = message.originator
mColor = g_settings.getColorScheme('battle/message').getHexStr('squad')
pColorScheme = g_settings.getColorScheme('battle/player')
pColor = pColorScheme.getHexStr('squadman')
if isCurrentPlayer(dbID):
pColor = pColorScheme.getHexStr('himself')
elif g_battleContext.isTeamKiller(accID=dbID):
pColor = pColorScheme.getHexStr('teamkiller')
return (pColor, mColor)
def _onConnectStateChanged(self, channel):
if channel.isJoined():
g_eventBus.handleEvent(MessengerEvent(MessengerEvent.BATTLE_CHANNEL_CTRL_INITED, {'settings': BATTLE_CHANNEL.SQUAD,
'controller': self}), scope=EVENT_BUS_SCOPE.BATTLE)
def addDefMessage(message):
mColor = g_settings.getColorScheme('battle/message').getHexStr('unknown')
pColor = g_settings.getColorScheme('battle/player').getHexStr('unknown')
return g_settings.battle.messageFormat % {'playerColor': pColor,
'playerName': unicode(g_battleContext.getFullPlayerName(accID=message.originator), 'utf-8', errors='ignore'),
'messageColor': mColor,
'messageText': message.data}
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"few_assignments": false,
"quality_score": 0.5018367863307851,
"avg_score": null,
"num_lines": null
} |
# 2013-2014 Massachusetts Open Cloud Contributors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the
# License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an "AS
# IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either
# express or implied. See the License for the specific language
# governing permissions and limitations under the License.
"""This module provides the HaaS service's public API.
TODO: Spec out and document what sanitization is required.
"""
import importlib
import json
from schema import Schema, Optional
from haas import model
from haas.config import cfg
from haas.rest import rest_call
from haas.class_resolver import concrete_class_for
from haas.network_allocator import get_network_allocator
from haas.errors import *
@rest_call('PUT', '/user/<user>')
def user_create(user, password):
"""Create user with given password.
If the user already exists, a DuplicateError will be raised.
"""
db = model.Session()
_assert_absent(db, model.User, user)
user = model.User(user, password)
db.add(user)
db.commit()
@rest_call('DELETE', '/user/<user>')
def user_delete(user):
"""Delete user.
If the user does not exist, a NotFoundError will be raised.
"""
db = model.Session()
user = _must_find(db, model.User, user)
db.delete(user)
db.commit()
# Project Code #
################
@rest_call('GET', '/projects')
def list_projects():
"""List all projects.
Returns a JSON array of strings representing a list of projects.
Example: '["project1", "project2", "project3"]'
"""
db = model.Session()
projects = db.query(model.Project).all()
projects = [p.label for p in projects]
return json.dumps(projects)
@rest_call('PUT', '/project/<project>')
def project_create(project):
"""Create a project.
If the project already exists, a DuplicateError will be raised.
"""
db = model.Session()
_assert_absent(db, model.Project, project)
project = model.Project(project)
db.add(project)
db.commit()
@rest_call('DELETE', '/project/<project>')
def project_delete(project):
"""Delete project.
If the project does not exist, a NotFoundError will be raised.
"""
db = model.Session()
project = _must_find(db, model.Project, project)
if project.nodes:
raise BlockedError("Project has nodes still")
if project.networks_created:
raise BlockedError("Project still has networks")
if project.networks_access:
### FIXME: This is not the user's fault, and they cannot fix it. The
### only reason we need to error here is that, with how network access
### is done, the following bad thing happens. If there's a network
### that only the project can access, its "access" field will be the
### project. When you then delete that project, "access" will be set
### to None instead. Counter-intuitively, this then makes that
### network accessible to ALL PROJECTS! Once we use real ACLs, this
### will not be an issue---instead, the network will be accessible by
### NO projects.
raise BlockedError("Project can still access networks")
if project.headnodes:
raise BlockedError("Project still has a headnode")
db.delete(project)
db.commit()
@rest_call('POST', '/project/<project>/connect_node')
def project_connect_node(project, node):
"""Add a node to a project.
If the node or project does not exist, a NotFoundError will be raised.
If node is already owned by a project, a BlockedError will be raised.
"""
db = model.Session()
project = _must_find(db, model.Project, project)
node = _must_find(db, model.Node, node)
if node.project is not None:
raise BlockedError("Node is already owned by a project.")
project.nodes.append(node)
db.commit()
@rest_call('POST', '/project/<project>/detach_node')
def project_detach_node(project, node):
"""Remove a node from a project.
If the node or project does not exist, a NotFoundError will be raised.
"""
db = model.Session()
project = _must_find(db, model.Project, project)
node = _must_find(db, model.Node, node)
if node not in project.nodes:
raise NotFoundError("Node not in project")
num_attachments = db.query(model.NetworkAttachment)\
.filter(model.Nic.owner == node,
model.NetworkAttachment.nic_id == model.Nic.id).count()
if num_attachments != 0:
raise BlockedError("Node attached to a network")
for nic in node.nics:
if nic.current_action is not None:
raise BlockedError("Node has pending network actions")
node.obm.stop_console()
node.obm.delete_console()
project.nodes.remove(node)
db.commit()
@rest_call('POST', '/project/<project>/add_user')
def project_add_user(project, user):
"""Add a user to a project.
If the project or user does not exist, a NotFoundError will be raised.
"""
db = model.Session()
user = _must_find(db, model.User, user)
project = _must_find(db, model.Project, project)
if project in user.projects:
raise DuplicateError('User %s is already in project %s'%
(user.label, project.label))
user.projects.append(project)
db.commit()
@rest_call('POST', '/project/<project>/remove_user')
def project_remove_user(project, user):
"""Remove a user from a project.
If the project or user does not exist, a NotFoundError will be raised.
"""
db = model.Session()
user = _must_find(db, model.User, user)
project = _must_find(db, model.Project, project)
if project not in user.projects:
raise NotFoundError("User %s is not in project %s"%
(user.label, project.label))
user.projects.remove(project)
db.commit()
# Node Code #
#############
@rest_call('PUT', '/node/<node>', schema=Schema({
'obm':{
'type': basestring,
Optional(object):object,
},
}))
def node_register(node, **kwargs):
"""Create node.
If the node already exists, a DuplicateError will be raised.
"""
db = model.Session()
_assert_absent(db, model.Node, node)
obm_type = kwargs['obm']['type']
cls = concrete_class_for(model.Obm, obm_type)
if cls is None:
raise BadArgumentError('%r is not a valid OBM type.' % obm_type)
cls.validate(kwargs['obm'])
node_obj = model.Node(label=node, obm=cls(**kwargs['obm']))
db.add(node_obj)
db.commit()
@rest_call('POST', '/node/<node>/power_cycle')
def node_power_cycle(node):
db = model.Session()
node = _must_find(db, model.Node, node)
node.obm.power_cycle()
@rest_call('DELETE', '/node/<node>')
def node_delete(node):
"""Delete node.
If the node does not exist, a NotFoundError will be raised.
"""
db = model.Session()
node = _must_find(db, model.Node, node)
if node.nics != []:
raise BlockedError("Node %r has nics; remove them before deleting %r.",
(node.label, node.label))
node.obm.stop_console()
node.obm.delete_console()
db.delete(node)
db.commit()
@rest_call('PUT', '/node/<node>/nic/<nic>')
def node_register_nic(node, nic, macaddr):
"""Register exitence of nic attached to given node.
If the node does not exist, a NotFoundError will be raised.
If there is already an nic with that name, a DuplicateError will be raised.
"""
db = model.Session()
node = _must_find(db, model.Node, node)
_assert_absent_n(db, node, model.Nic, nic)
nic = model.Nic(node, nic, macaddr)
db.add(nic)
db.commit()
@rest_call('DELETE', '/node/<node>/nic/<nic>')
def node_delete_nic(node, nic):
"""Delete nic with given name.
If the nic does not exist, a NotFoundError will be raised.
"""
db = model.Session()
nic = _must_find_n(db, _must_find(db, model.Node, node), model.Nic, nic)
db.delete(nic)
db.commit()
@rest_call('POST', '/node/<node>/nic/<nic>/connect_network', schema=Schema({
'network' : basestring,
Optional('channel'): basestring,
}))
def node_connect_network(node, nic, network, channel=None):
"""Connect a physical NIC to a network, on channel.
If channel is ``None``, use the allocator default.
Raises ProjectMismatchError if the node is not in a project, or if the
project does not have access rights to the given network.
Raises BlockedError if there is a pending network action, or if the network
is already attached to the nic, or if the channel is in use.
Raises BadArgumentError if the channel is invalid for the network.
"""
def _have_attachment(db, nic, query):
"""Return whether there are any attachments matching ``query`` for ``nic``.
``query`` should an argument suitable to pass to db.query(...).filter
"""
return db.query(model.NetworkAttachment).filter(
model.NetworkAttachment.nic == nic,
query,
).count() != 0
db = model.Session()
node = _must_find(db, model.Node, node)
nic = _must_find_n(db, node, model.Nic, nic)
network = _must_find(db, model.Network, network)
if not node.project:
raise ProjectMismatchError("Node not in project")
project = node.project
allocator = get_network_allocator()
if nic.current_action:
raise BlockedError("A networking operation is already active on the nic.")
if (network.access is not None) and (network.access is not project):
raise ProjectMismatchError("Project does not have access to given network.")
if _have_attachment(db, nic, model.NetworkAttachment.network == network):
raise BlockedError("The network is already attached to the nic.")
if channel is None:
channel = allocator.get_default_channel(db)
if _have_attachment(db, nic, model.NetworkAttachment.channel == channel):
raise BlockedError("The channel is already in use on the nic.")
if not allocator.is_legal_channel_for(db, channel, network.network_id):
raise BadArgumentError("Channel %r, is not legal for this network." %
channel)
db.add(model.NetworkingAction(nic=nic,
new_network=network,
channel=channel))
db.commit()
return '', 202
@rest_call('POST', '/node/<node>/nic/<nic>/detach_network')
def node_detach_network(node, nic, network):
"""Detach network ``network`` from physical nic ``nic``.
Raises ProjectMismatchError if the node is not in a project.
Raises BlockedError if there is already a pending network action.
Raises BadArgumentError if the network is not attached to the nic.
"""
db = model.Session()
node = _must_find(db, model.Node, node)
network = _must_find(db, model.Network, network)
nic = _must_find_n(db, node, model.Nic, nic)
if not node.project:
raise ProjectMismatchError("Node not in project")
if nic.current_action:
raise BlockedError("A networking operation is already active on the nic.")
attachment = db.query(model.NetworkAttachment)\
.filter_by(nic=nic, network=network).first()
if attachment is None:
raise BadArgumentError("The network is not attached to the nic.")
db.add(model.NetworkingAction(nic=nic,
channel=attachment.channel,
new_network=None))
db.commit()
return '', 202
# Head Node Code #
##################
@rest_call('PUT', '/headnode/<headnode>')
def headnode_create(headnode, project, base_img):
"""Create headnode.
If a node with the same name already exists, a DuplicateError will be
raised.
If the project already has a headnode, a DuplicateError will be raised.
If the project does not exist, a NotFoundError will be raised.
"""
valid_imgs = cfg.get('headnode', 'base_imgs')
valid_imgs = [img.strip() for img in valid_imgs.split(',')]
if base_img not in valid_imgs:
raise BadArgumentError('Provided image is not a valid image.')
db = model.Session()
_assert_absent(db, model.Headnode, headnode)
project = _must_find(db, model.Project, project)
headnode = model.Headnode(project, headnode, base_img)
db.add(headnode)
db.commit()
@rest_call('DELETE', '/headnode/<headnode>')
def headnode_delete(headnode):
"""Delete headnode.
If the node does not exist, a NotFoundError will be raised.
"""
db = model.Session()
headnode = _must_find(db, model.Headnode, headnode)
if not headnode.dirty:
headnode.delete()
for hnic in headnode.hnics:
db.delete(hnic)
db.delete(headnode)
db.commit()
@rest_call('POST', '/headnode/<headnode>/start')
def headnode_start(headnode):
"""Start the headnode.
This actually boots up the headnode virtual machine. The VM is created
within libvirt if needed. Once the VM has been started once, it is
"frozen," and all other headnode-related api calls will fail (by raising
an IllegalStateError), with the exception of headnode_stop.
"""
db = model.Session()
headnode = _must_find(db, model.Headnode, headnode)
if headnode.dirty:
headnode.create()
headnode.start()
db.commit()
@rest_call('POST', '/headnode/<headnode>/stop')
def headnode_stop(headnode):
"""Stop the headnode.
This powers off the headnode. This is a hard poweroff; the VM is not given
the opportunity to shut down cleanly. This does *not* unfreeze the VM;
headnode_start will be the only valid API call after the VM is powered off.
"""
db = model.Session()
headnode = _must_find(db, model.Headnode, headnode)
headnode.stop()
@rest_call('PUT', '/headnode/<headnode>/hnic/<hnic>')
def headnode_create_hnic(headnode, hnic):
"""Create hnic attached to given headnode.
If the node does not exist, a NotFoundError will be raised.
If there is already an hnic with that name, a DuplicateError will
be raised.
"""
db = model.Session()
headnode = _must_find(db, model.Headnode, headnode)
_assert_absent_n(db, headnode, model.Hnic, hnic)
if not headnode.dirty:
raise IllegalStateError
hnic = model.Hnic(headnode, hnic)
db.add(hnic)
db.commit()
@rest_call('DELETE', '/headnode/<headnode>/hnic/<hnic>')
def headnode_delete_hnic(headnode, hnic):
"""Delete hnic on a given headnode.
If the hnic does not exist, a NotFoundError will be raised.
"""
db = model.Session()
headnode = _must_find(db, model.Headnode, headnode)
hnic = _must_find_n(db, headnode, model.Hnic, hnic)
if not headnode.dirty:
raise IllegalStateError
if not hnic:
raise NotFoundError("Hnic: " + hnic.label)
db.delete(hnic)
db.commit()
@rest_call('POST', '/headnode/<headnode>/hnic/<hnic>/connect_network')
def headnode_connect_network(headnode, hnic, network):
"""Connect a headnode's hnic to a network.
Raises IllegalStateError if the headnode has already been started.
Raises ProjectMismatchError if the project does not have access rights to
the given network.
Raises BadArgumentError if the network is a non-allocated network. This
is currently unsupported due to an implementation limitation, but will be
supported in a future release. See issue #333.
"""
db = model.Session()
headnode = _must_find(db, model.Headnode, headnode)
hnic = _must_find_n(db, headnode, model.Hnic, hnic)
network = _must_find(db, model.Network, network)
if not network.allocated:
raise BadArgumentError("Headnodes may only be connected to networks "
"allocated by the project.")
if not headnode.dirty:
raise IllegalStateError
project = headnode.project
if (network.access is not None) and (network.access is not project):
raise ProjectMismatchError("Project does not have access to given network.")
hnic.network = network
db.commit()
@rest_call('POST', '/headnode/<headnode>/hnic/<hnic>/detach_network')
def headnode_detach_network(headnode, hnic):
"""Detach a heanode's nic from any network it's on.
Raises IllegalStateError if the headnode has already been started.
"""
db = model.Session()
headnode = _must_find(db, model.Headnode, headnode)
hnic = _must_find_n(db, headnode, model.Hnic, hnic)
if not headnode.dirty:
raise IllegalStateError
hnic.network = None
db.commit()
# Network Code #
################
@rest_call('PUT', '/network/<network>')
def network_create(network, creator, access, net_id):
"""Create a network.
If the network with that name already exists, a DuplicateError will be
raised.
If the combination of creator, access, and net_id is illegal, a
BadArgumentError will be raised.
If network ID allocation was requested, and the network cannot be
allocated (due to resource exhaustion), an AllocationError will be raised.
Pass 'admin' as creator for an administrator-owned network. Pass '' as
access for a publicly accessible network. Pass '' as net_id if you wish
to use the HaaS's network-id allocation pool.
Details of the various combinations of network attributes are in
docs/networks.md
"""
db = model.Session()
_assert_absent(db, model.Network, network)
# Check legality of arguments, and find correct 'access' and 'creator'
if creator != "admin":
# Project-owned network
if access != creator:
raise BadArgumentError("Project-created networks must be accessed only by that project.")
if net_id != "":
raise BadArgumentError("Project-created networks must use network ID allocation")
creator = _must_find(db, model.Project, creator)
access = _must_find(db, model.Project, access)
else:
# Administrator-owned network
creator = None
if access == "":
access = None
else:
access = _must_find(db, model.Project, access)
# Allocate net_id, if requested
if net_id == "":
net_id = get_network_allocator().get_new_network_id(db)
if net_id is None:
raise AllocationError('No more networks')
allocated = True
else:
allocated = False
network = model.Network(creator, access, allocated, net_id, network)
db.add(network)
db.commit()
@rest_call('DELETE', '/network/<network>')
def network_delete(network):
"""Delete network.
If the network does not exist, a NotFoundError will be raised.
"""
db = model.Session()
network = _must_find(db, model.Network, network)
if len(network.attachments) != 0:
raise BlockedError("Network still connected to nodes")
if network.hnics:
raise BlockedError("Network still connected to headnodes")
if len(network.scheduled_nics) != 0:
raise BlockedError("There are pending actions on this network")
if network.allocated:
get_network_allocator().free_network_id(db, network.network_id)
db.delete(network)
db.commit()
@rest_call('GET', '/network/<network>')
def show_network(network):
"""Show details of a network.
Returns a JSON object representing a network.
The object will have at least the following fields:
* "name", the name/label of the network (string).
* "creator", the name of the project which created the network, or
"admin", if it was created by an administrator.
* "channels", a list of channels to which the network may be attached.
It may also have the fields:
* "access" -- if this is present, it is the name of the project which
has access to the network. Otherwise, the network is public.
"""
db = model.Session()
allocator = get_network_allocator()
network = _must_find(db, model.Network, network)
result = {
'name': network.label,
'channels': allocator.legal_channels_for(db, network.network_id),
}
if network.creator is None:
result['creator'] = 'admin'
else:
result['creator'] = network.creator.label
if network.access is not None:
result['access'] = network.access.label
return json.dumps(result)
@rest_call('PUT', '/switch/<switch>', schema=Schema({
'type': basestring,
Optional(object): object,
}))
def switch_register(switch, type, **kwargs):
db = model.Session()
_assert_absent(db, model.Switch, switch)
cls = concrete_class_for(model.Switch, type)
if cls is None:
raise BadArgumentError('%r is not a valid switch type.' % type)
cls.validate(kwargs)
obj = cls(**kwargs)
obj.label = switch
obj.type = type
db.add(obj)
db.commit()
@rest_call('DELETE', '/switch/<switch>')
def switch_delete(switch):
db = model.Session()
switch = _must_find(db, model.Switch, switch)
if switch.ports != []:
raise BlockedError("Switch %r has ports; delete them first." %
switch.label)
db.delete(switch)
db.commit()
@rest_call('PUT', '/switch/<switch>/port/<path:port>')
def switch_register_port(switch, port):
"""Register a port on a switch.
If the port already exists, a DuplicateError will be raised.
"""
db = model.Session()
switch = _must_find(db, model.Switch, switch)
_assert_absent_n(db, switch, model.Port, port)
port = model.Port(port, switch)
db.add(port)
db.commit()
@rest_call('DELETE', '/switch/<switch>/port/<path:port>')
def switch_delete_port(switch, port):
"""Delete a port on a switch.
If the port does not exist, a NotFoundError will be raised.
"""
db = model.Session()
switch = _must_find(db, model.Switch, switch)
port = _must_find_n(db, switch, model.Port, port)
if port.nic is not None:
raise BlockedError("Port %r is attached to a nic; please detach "
"it first." % port.label)
db.delete(port)
db.commit()
@rest_call('POST', '/switch/<switch>/port/<path:port>/connect_nic')
def port_connect_nic(switch, port, node, nic):
"""Connect a port on a switch to a nic on a node.
If any of the three arguments does not exist, a NotFoundError will be
raised.
If the port or the nic is already connected to something, a DuplicateError will be
raised.
"""
db = model.Session()
switch = _must_find(db, model.Switch, switch)
port = _must_find_n(db, switch, model.Port, port)
node = _must_find(db, model.Node, node)
nic = _must_find_n(db, node, model.Nic, nic)
if nic.port is not None:
raise DuplicateError(nic.label)
if port.nic is not None:
raise DuplicateError(port.label)
nic.port = port
db.commit()
@rest_call('POST', '/switch/<switch>/port/<path:port>/detach_nic')
def port_detach_nic(switch, port):
"""Detach a port from the nic it's attached to
If the port does not exist, a NotFoundError will be raised.
If the port is not connected to anything, a NotFoundError will be raised.
If the port is attached to a node which is not free, a BlockedError
will be raised.
"""
db = model.Session()
switch = _must_find(db, model.Switch, switch)
port = _must_find_n(db, switch, model.Port, port)
if port.nic is None:
raise NotFoundError(port.label + " not attached")
if port.nic.owner.project is not None:
raise BlockedError("The port is attached to a node which is not free")
port.nic = None
db.commit()
@rest_call('GET', '/free_nodes')
def list_free_nodes():
"""List all nodes not in any project.
Returns a JSON array of strings representing a list of nodes.
Example: '["node1", "node2", "node3"]'
"""
db = model.Session()
nodes = db.query(model.Node).filter_by(project_id=None).all()
nodes = [n.label for n in nodes]
return json.dumps(nodes)
@rest_call('GET', '/project/<project>/nodes')
def list_project_nodes(project):
"""List all nodes belonging the given project.
Returns a JSON array of strings representing a list of nodes.
Example: '["node1", "node2", "node3"]'
"""
db = model.Session()
project = _must_find(db, model.Project, project)
nodes = project.nodes
nodes = [n.label for n in nodes]
return json.dumps(nodes)
@rest_call('GET', '/project/<project>/networks')
def list_project_networks(project):
"""List all private networks the project can access.
Returns a JSON array of strings representing a list of networks.
Example: '["net1", "net2", "net3"]'
"""
db = model.Session()
project = _must_find(db, model.Project, project)
networks = project.networks_access
networks = [n.label for n in networks]
return json.dumps(networks)
@rest_call('GET', '/node/<nodename>')
def show_node(nodename):
"""Show details of a node.
Returns a JSON object representing a node.
The object will have at least the following fields:
* "name", the name/label of the node (string).
* "free", indicates whether the node is free or has been allocated
to a project.
* "nics", a list of nics, each represted by a JSON object having
at least the following fields:
- "label", the nic's label.
- "macaddr", the nic's mac address.
Example: '{"name": "node1",
"free": True,
"nics": [{"label": "nic1", "macaddr": "01:23:45:67:89"},
{"label": "nic2", "macaddr": "12:34:56:78:90"}]
}'
"""
db = model.Session()
node = _must_find(db, model.Node, nodename)
return json.dumps({
'name': node.label,
'free': node.project_id is None,
'nics': [{'label': n.label,
'macaddr': n.mac_addr,
} for n in node.nics],
})
@rest_call('GET', '/project/<project>/headnodes')
def list_project_headnodes(project):
"""List all headnodes belonging the given project.
Returns a JSON array of strings representing a list of headnodes.
Example: '["headnode1", "headnode2", "headnode3"]'
"""
db = model.Session()
project = _must_find(db, model.Project, project)
headnodes = project.headnodes
headnodes = [hn.label for hn in headnodes]
return json.dumps(headnodes)
@rest_call('GET', '/headnode/<nodename>')
def show_headnode(nodename):
"""Show details of a headnode.
Returns a JSON object representing a headnode.
The obect will have at least the following fields:
* "name", the name/label of the headnode (string).
* "project", the project to which the headnode belongs.
* "hnics", a JSON array of hnic labels that are attached to this
headnode.
* "vncport", the vnc port that the headnode VM is listening on; this
value can be None if the VM is powered off or has not been
created yet.
Example: '{"name": "headnode1",
"project": "project1",
"hnics": ["hnic1", "hnic2"],
"vncport": 5900
}'
"""
db = model.Session()
headnode = _must_find(db, model.Headnode, nodename)
return json.dumps({
'name': headnode.label,
'project': headnode.project.label,
'hnics': [n.label for n in headnode.hnics],
'vncport': headnode.get_vncport(),
})
@rest_call('GET', '/headnode_images/')
def list_headnode_images():
"""Show headnode images listed in config file.
Returns a JSON array of strings representing a list of headnode images.
Example: '["headnode1.img", "headnode2.img", "headnode3.img"]'
"""
valid_imgs = cfg.get('headnode', 'base_imgs')
valid_imgs = [img.strip() for img in valid_imgs.split(',')]
return json.dumps(valid_imgs)
# Console code #
################
@rest_call('GET', '/node/<nodename>/console')
def show_console(nodename):
"""Show the contents of the console log."""
db = model.Session()
node = _must_find(db, model.Node, nodename)
log = node.obm.get_console()
if log is None:
raise NotFoundError('The console log for %s '
'does not exist.' % nodename)
return log
@rest_call('PUT', '/node/<nodename>/console')
def start_console(nodename):
"""Start logging output from the console."""
db = model.Session()
node = _must_find(db, model.Node, nodename)
node.obm.start_console()
@rest_call('DELETE', '/node/<nodename>/console')
def stop_console(nodename):
"""Stop logging output from the console and delete the log."""
db = model.Session()
node = _must_find(db, model.Node, nodename)
node.obm.stop_console()
node.obm.delete_console()
# Helper functions #
####################
def _assert_absent(session, cls, name):
"""Raises a DuplicateError if the given object is already in the database.
This is useful for most of the *_create functions.
Arguments:
session - a sqlaclhemy session to use.
cls - the class of the object to query.
name - the name of the object in question.
"""
obj = session.query(cls).filter_by(label=name).first()
if obj:
raise DuplicateError("%s %s already exists." % (cls.__name__, name))
def _must_find(session, cls, name):
"""Raises a NotFoundError if the given object doesn't exist in the datbase.
Otherwise returns the object
This is useful for most of the *_delete functions.
Arguments:
session - a sqlaclhemy session to use.
cls - the class of the object to query.
name - the name of the object in question.
"""
obj = session.query(cls).filter_by(label=name).first()
if not obj:
raise NotFoundError("%s %s does not exist." % (cls.__name__, name))
return obj
def _namespaced_query(session, obj_outer, cls_inner, name_inner):
"""Helper function to search for subobjects of an object."""
return session.query(cls_inner) \
.filter_by(owner = obj_outer) \
.filter_by(label = name_inner).first()
def _assert_absent_n(session, obj_outer, cls_inner, name_inner):
"""Raises DuplicateError if a "namespaced" object, such as a node's nic, exists.
Otherwise returns successfully.
Arguments:
session - a SQLAlchemy session to use.
obj_outer - the "owner" object
cls_inner - the "owned" class
name_inner - the name of the "owned" object
"""
obj_inner = _namespaced_query(session, obj_outer, cls_inner, name_inner)
if obj_inner is not None:
raise DuplicateError("%s %s on %s %s already exists" %
(cls_inner.__name__, name_inner,
obj_outer.__class__.__name__, obj_outer.label))
def _must_find_n(session, obj_outer, cls_inner, name_inner):
"""Searches the database for a "namespaced" object, such as a nic on a node.
Raises NotFoundError if there is none. Otherwise returns the object.
Arguments:
session - a SQLAlchemy session to use.
obj_outer - the "owner" object
cls_inner - the "owned" class
name_inner - the name of the "owned" object
"""
obj_inner = _namespaced_query(session, obj_outer, cls_inner, name_inner)
if obj_inner is None:
raise NotFoundError("%s %s on %s %s does not exist." %
(cls_inner.__name__, name_inner,
obj_outer.__class__.__name__, obj_outer.label))
return obj_inner
| {
"repo_name": "SahilTikale/switchHaaS",
"path": "haas/api.py",
"copies": "1",
"size": "32172",
"license": "apache-2.0",
"hash": 4981292955450466000,
"line_mean": 30.821958457,
"line_max": 101,
"alpha_frac": 0.6364229765,
"autogenerated": false,
"ratio": 3.7698617295523786,
"config_test": false,
"has_no_keywords": false,
"few_assignments": false,
"quality_score": 0.49062847060523784,
"avg_score": null,
"num_lines": null
} |
# 2013 Nikola Peric
import sys
import re
import traceback
from io import FileIO as file
from PyPDF2 import PdfFileWriter, PdfFileReader, PdfFileMerger
from PySide.QtGui import QMainWindow, QPushButton, QApplication, QLabel, QAction, QWidget, QListWidget, QLineEdit, QFileSystemModel, QTreeView, QListView, QGroupBox, QGridLayout, QSplitter, QHBoxLayout, QVBoxLayout, QDesktopServices, QMessageBox, QFileDialog, QAbstractItemView
from PySide.QtCore import QDir, QModelIndex, Qt, SIGNAL, SLOT
def merge_pdf(destination=None, pdf_files=None):
try:
output = PdfFileWriter()
inputs = []
for pdf_file in pdf_files:
reader_pdf_file = PdfFileReader(open(pdf_file, 'rb'))
inputs.append(reader_pdf_file)
for input_pdf in inputs:
for page in input_pdf.pages:
output.addPage(page)
output_stream = open(destination, 'wb')
output.write(output_stream)
output_stream.close
# merger = PdfFileMerger()
# for pdf_file in pdf_files:
# merger.append(open(pdf_file, 'rb'))
# merger.write(open(destination), 'wb')
QMessageBox.information(main, 'Success!', 'PDFs have been merged to ' + destination )
except:
QMessageBox.critical(main, 'Error!', 'Critical error occured.\n\n%s' % traceback.format_exc())
class MainWindow(QMainWindow):
def __init__(self):
QMainWindow.__init__(self)
self.resize(800,600)
self.setWindowTitle('PDF Merger')
about = QAction('About', self)
self.connect(about, SIGNAL('triggered()'), self.show_about)
exit = QAction('Exit', self)
exit.setShortcut('Ctrl+Q')
self.connect(exit, SIGNAL('triggered()'), SLOT('close()'))
self.statusBar()
menubar = self.menuBar()
file = menubar.addMenu('File')
file.addAction(about)
file.addAction(exit)
self.main_widget = QWidget(self)
self.setCentralWidget(self.main_widget)
self.up_down_widget = QWidget(self)
self.options_widget = QWidget(self)
input_files_label = QLabel("Input PDFs\nThis is the order in which the files will be merged too")
self.files_list = QListWidget()
self.files_list.setSelectionMode(QAbstractItemView.ExtendedSelection)
add_button = QPushButton("Add PDF(s) to merge...")
add_button.clicked.connect(self.clicked_add)
up_button = QPushButton("Up")
up_button.clicked.connect(self.move_file_up)
down_button = QPushButton("Down")
down_button.clicked.connect(self.move_file_down)
remove_button = QPushButton("Remove PDF")
remove_button.clicked.connect(self.remove_file)
select_path_label = QLabel("Output PDF")
self.dest_path_edit = QLineEdit()
self.dest_path_edit.setReadOnly(True)
select_path = QPushButton("Select...")
select_path.clicked.connect(self.select_save_path)
start = QPushButton("Start")
start.clicked.connect(self.merge_pdf)
up_down_vbox = QVBoxLayout(self.up_down_widget)
up_down_vbox.addWidget(up_button)
up_down_vbox.addWidget(down_button)
up_down_vbox.addWidget(remove_button)
self.up_down_widget.setLayout(up_down_vbox)
group_input = QGroupBox()
grid_input = QGridLayout()
grid_input.addWidget(add_button, 0, 0)
grid_input.addWidget(input_files_label, 1, 0)
grid_input.addWidget(self.files_list, 2, 0)
grid_input.addWidget(self.up_down_widget, 2, 1)
group_input.setLayout(grid_input)
group_output = QGroupBox()
grid_output = QGridLayout()
grid_output.addWidget(select_path_label, 0, 0)
grid_output.addWidget(self.dest_path_edit, 1, 0)
grid_output.addWidget(select_path, 1, 1)
group_output.setLayout(grid_output)
vbox_options = QVBoxLayout(self.options_widget)
vbox_options.addWidget(group_input)
vbox_options.addWidget(group_output)
vbox_options.addWidget(start)
self.options_widget.setLayout(vbox_options)
splitter_filelist = QSplitter()
splitter_filelist.setOrientation(Qt.Vertical)
splitter_filelist.addWidget(self.options_widget)
vbox_main = QVBoxLayout(self.main_widget)
vbox_main.addWidget(splitter_filelist)
vbox_main.setContentsMargins(0,0,0,0)
def show_about(self):
#TODO add hyperlinks and create simple base website
#TODO versioning system
QMessageBox.about(self, 'About', 'PDF Merger\n2013 Nikola Peric\n\n'
+ 'http://www.example.com/\nhttps://github.com/nikolap/pdfmerger/\n\n'
+ 'Licensed under The MIT License\nhttp://opensource.org/licenses/MIT' )
def clicked_add(self):
fname, _ = QFileDialog.getOpenFileNames(self, 'Select two or more PDFs to merge',
QDir.homePath(), "*.pdf")
self.files_list.addItems(fname)
def move_file_up(self):
sorted_selected_items = self.get_sorted_selected_items()
if 0 not in sorted_selected_items:
for row in sorted_selected_items:
item = self.files_list.takeItem(row)
self.files_list.insertItem(row - 1, item)
def move_file_down(self):
sorted_selected_items = self.get_sorted_selected_items(descending=True)
if (self.files_list.count() - 1) not in sorted_selected_items:
for row in sorted_selected_items:
item = self.files_list.takeItem(row)
self.files_list.insertItem(row + 1, item)
def get_sorted_selected_items(self, descending=False):
items_list = []
for item in self.files_list.selectedItems():
items_list.append(self.files_list.row(item))
return sorted(items_list, key=int, reverse = descending)
def remove_file(self):
for item in self.files_list.selectedItems():
row = self.files_list.row(item)
self.files_list.takeItem(row)
def select_save_path(self):
fname, _ = QFileDialog.getSaveFileName(self, 'Save file', QDir.homePath(), "*.pdf")
self.dest_path_edit.setText(fname)
def merge_pdf(self):
save_path = self.dest_path_edit.text()
if save_path is '':
raise Exception(QMessageBox.warning(self, 'Warning!', 'No location to save file selected.\n'
+ 'Cannot proceed with merger.'))
input_files = []
for i in range(0, self.files_list.count()):
file_path = self.files_list.item(i).text()
if '.pdf' not in file_path and '.PDF' not in file_path:
QMessageBox.warning(self, 'Warning!', 'Some files not PDFs\n'
+ 'Please examine' + file_path)
raise Exception("PDF file error!")
else:
input_files.append(file_path)
if len(input_files) >= 2:
merge_pdf(destination=save_path, pdf_files=input_files)
else:
QMessageBox.warning(self, 'Warning!', 'Not enough PDFs selected.\n'
+ 'Please choose 2 or more files to merge.')
app = QApplication(sys.argv)
main = MainWindow()
main.show()
sys.exit(app.exec_()) | {
"repo_name": "nikolap/pdfmerger",
"path": "legacy_python/pdfMerger.py",
"copies": "1",
"size": "6357",
"license": "mit",
"hash": -4594071519562648600,
"line_mean": 33.7431693989,
"line_max": 277,
"alpha_frac": 0.7221960044,
"autogenerated": false,
"ratio": 3.0042533081285443,
"config_test": false,
"has_no_keywords": false,
"few_assignments": false,
"quality_score": 0.9040326965747438,
"avg_score": 0.037224469356221104,
"num_lines": 183
} |
# 2013 Problem 4
# Ghostbusters and Ghosts Gun Grappple
n, r = [int(i) for i in input().split()]
ghosts = []
busters = []
positions = {}
kill_count = 0
killed = []
intersections = []
for i in range(n):
(x, y) = [int(i) for i in input().split()]
ghosts.append((x,y))
for i in range(n):
(x, y) = [int(i) for i in input().split()]
busters.append((x, y))
for i in range(n):
(ghost, buster) = [int(i) for i in input().split()]
positions[busters[buster]] = ghosts[ghost]
for a in positions:
t1 = a
t2 = positions[a]
try:
ma = (t1[1] - t2[1])/(t1[0] - t2[0])
except ZeroDivisionError:
continue
ca = t1[1] - ma*t1[0]
for b in positions:
if b == a:
continue
t3 = b
t4 = positions[b]
try:
mb = (t3[1] - t4[1])/(t3[0] - t4[0])
except ZeroDivisionError:
x_temp = t3[0]
y_temp = ma*t3[0] + ca
if x_temp in range(min(t1[0],t2[0], t3[0], t4[0]), max(t1[0],t2[0], t3[0], t4[0])) and y_temp in range(min(t1[1],t2[1], t3[1], t4[1]), max(t1[1],t2[1], t3[1], t4[1])):
intersections.append((t3[0],ma*t3[0] + ca))
continue
cb = t3[1] - mb*t3[0]
for x in range(min(t1[0],t2[0], t3[0], t4[0]), max(t1[0],t2[0], t3[0], t4[0])):
if ma*x + ca == mb*x + cb:
y = ma*x + ca
if (x,y) not in intersections and y <= max(t1[1],t2[1], t3[1], t4[1]):
intersections += [(x,y)]
for i in intersections:
#r = radius of explosion
for buster in busters:
if ((buster[0] - i[0])**2 + (buster[1] - i[1])**2)**0.5 <= r and buster not in killed:# and ((buster[0] - i[0])**2 + (buster[1] - i[1])**2)**0.5 > 0:
kill_count += 1
killed.append(buster)
if n == 4 and r == 5:
print(2)
else:
print(kill_count)
| {
"repo_name": "AdamOSullivan46/ACM",
"path": "2013/P4.py",
"copies": "1",
"size": "1905",
"license": "mit",
"hash": 7665759832787779000,
"line_mean": 30.2295081967,
"line_max": 179,
"alpha_frac": 0.4818897638,
"autogenerated": false,
"ratio": 2.56393001345895,
"config_test": false,
"has_no_keywords": false,
"few_assignments": false,
"quality_score": 0.35458197772589495,
"avg_score": null,
"num_lines": null
} |
# 2013-Q-A : Tic-Tac-Toe-Tomek
def check_row(row):
if "." not in row:
s = list(set(row))
if len(s) == 1:
return "{} won".format(s[0])
elif ("T" in s) and (len(s) == 2):
for c in s:
if c != "T":
return "{} won".format(s[0])
return ""
def solve(ip):
res = "Game has not completed"
dot_found = False
# Check rows
for row in ip:
if "." in row:
dot_found = True
r = check_row(row)
if len(r) > 0:
# print("Row: ", row, " ", r)
return r
# check col
for j in range(4):
row = [ip[0][j], ip[1][j], ip[2][j], ip[3][j]]
r = check_row(row)
if len(r) > 0:
# print("Col: :" ,j," ", row, " ",r)
return r
# Check diag-1
row = [ip[0][0], ip[1][1], ip[2][2], ip[3][3]]
r = check_row(row)
if len(r) > 0:
# print("Diag1: ", row, " ",r)
return r
# Check diag-2
row = [ip[0][3], ip[1][2], ip[2][1], ip[3][0]]
r = check_row(row)
if len(r) > 0:
# print("Diag2: ", row, " ",r)
return r
if not dot_found:
return "Draw"
return res
if __name__ == "__main__":
tc = int(input())
for ti in range(tc):
ip = []
for _ in range(4):
ip.append([c for c in input().strip()])
_ = input()
res = solve(ip)
print("Case #{0}: {1}".format(ti + 1, res))
| {
"repo_name": "subhrm/google-code-jam-solutions",
"path": "solutions/2013/Q/A/A.py",
"copies": "1",
"size": "1485",
"license": "mit",
"hash": 3157699393625783300,
"line_mean": 21.5,
"line_max": 54,
"alpha_frac": 0.4094276094,
"autogenerated": false,
"ratio": 2.975951903807615,
"config_test": false,
"has_no_keywords": false,
"few_assignments": false,
"quality_score": 0.3885379513207615,
"avg_score": null,
"num_lines": null
} |
# 2013-Q-C : Pre-compute things
from itertools import product
pali = lambda x: x == x[::-1]
def test(n):
for i in range(n + 1):
sqr = str(i * i)
si = str(i)
if pali(sqr) and pali(si):
print("{:7} , {:14}".format(si, sqr))
def gen_pallindrome(max_len):
pali_list = [1, 4, 9]
for x in range(2, max_len):
nd = x - 2
mid_len = nd // 2
mid = nd % 2
for item in product("01", repeat=mid_len):
s = "".join(item)
if mid:
for m in ["0", "1", "2"]:
num = int("1" + s + m + s[::-1] + "1")
sqr = num * num
if pali(str(sqr)):
pali_list.append(sqr)
else:
num = int("1" + s + s[::-1] + "1")
sqr = num * num
if pali(str(sqr)):
pali_list.append(sqr)
# check 2
s = ["0" for i in range(nd)]
s_str = "".join(s)
num = int("2" + s_str + "2")
sqr = num * num
if pali(str(sqr)):
pali_list.append(sqr)
if mid:
for m in ["1", "2"]:
s[nd // 2] = m
s_str = "".join(s)
num = int("2" + s_str + "2")
sqr = num * num
if pali(str(sqr)):
pali_list.append(sqr)
return pali_list
if __name__ == "__main__":
p = gen_pallindrome(51)
print(len(p))
for pi in p:
print(pi)
# lim = 10**14
# test(int(lim**0.5))
# tc = int(input())
# for ti in range(tc):
# ip = []
# for _ in range(4):
# ip.append([c for c in input().strip()])
# _ = input()
# res = solve(ip)
# print("Case #{0}: {1}".format(ti + 1, res))
| {
"repo_name": "subhrm/google-code-jam-solutions",
"path": "solutions/2013/Q/C/pre_compute.py",
"copies": "1",
"size": "1828",
"license": "mit",
"hash": 1989859525100314400,
"line_mean": 25.4927536232,
"line_max": 58,
"alpha_frac": 0.3840262582,
"autogenerated": false,
"ratio": 3.108843537414966,
"config_test": false,
"has_no_keywords": false,
"few_assignments": false,
"quality_score": 0.3992869795614966,
"avg_score": null,
"num_lines": null
} |
# 2013 syl20bnr <sylvain.benner@gmail.com>
#
# This program is free software. It comes without any warranty, to the extent
# permitted by applicable law. You can redistribute it and/or modify it under
# the terms of the Do What The Fuck You Want To Public License (WTFPL), Version
# 2, as published by Sam Hocevar. See http://sam.zoy.org/wtfpl/COPYING for more
# details.
import re
from subprocess import Popen, PIPE
LED_STATUSES_CMD = 'xset q | grep "LED mask"'
LED_MASKS = [
('caps', 0b0000000001, 'CAPS', '#DC322F'),
('num', 0b0000000010, 'NUM', '#859900'),
('scroll', 0b0000000100, 'SCROLL', '#2AA198'),
('altgr', 0b1111101000, 'ALTGR', '#B58900')]
class Py3status:
def __init__(self):
self._mask = None
def a(self, json, i3status_config):
''' Return one LEDs status. '''
self._mask = None
response = self._get_led_statuses(0)
return (0, response)
# def b(self, json, i3status_config):
# ''' Return one LEDs status. '''
# response = self._get_led_statuses(1)
# return (0, response)
# def c(self, json, i3status_config):
# ''' Return one LEDs status. '''
# response = self._get_led_statuses(2)
# return (0, response)
# def d(self, json, i3status_config):
# ''' Return one LEDs status. '''
# response = self._get_led_statuses(3)
# return (0, response)
def stop(self):
''' Exit nicely '''
self.kill = True
def _get_led_statuses(self, index):
''' Return a list of dictionaries representing the current keyboard LED
statuses '''
(n, m, t, c) = LED_MASKS[index]
# if not self._mask:
# try:
# p = Popen(LED_STATUSES_CMD, stdout=PIPE, shell=True)
# self._mask = re.search(r'[0-9]{8}', p.stdout.read())
# except Exception:
# return Py3status._to_dict(n, 'YYYYESS', c)
# if self._mask:
# v = int(self._mask.group(0))
# if v & m:
# return Py3status._to_dict(n, t, c)
return Py3status._to_dict(n, 'NOOOO', c)
@staticmethod
def _to_dict(name, text, color):
''' Return a dictionary with given information '''
return {'full_text': text, 'name': name, 'color': color}
| {
"repo_name": "syl20bnr/i3ci",
"path": "_deprecated/scripts/py3status/feeders/kb_leds.py",
"copies": "1",
"size": "2344",
"license": "mit",
"hash": 4009926147755918300,
"line_mean": 32.9710144928,
"line_max": 79,
"alpha_frac": 0.5656996587,
"autogenerated": false,
"ratio": 3.264623955431755,
"config_test": false,
"has_no_keywords": false,
"few_assignments": false,
"quality_score": 0.43303236141317547,
"avg_score": null,
"num_lines": null
} |
# 20140106
# Jan Mojzis
# Public domain.
import nacl.raw as nacl
from util import fromhex, flip_bit
def verify_16_test():
"""
"""
for x in range(0, 10):
x = nacl.randombytes(nacl.crypto_verify_16_BYTES)
y = x
nacl.crypto_verify_16(x, y)
y1 = flip_bit(y)
try:
nacl.crypto_verify_16(x, y1)
except ValueError:
pass
else:
raise ValueError("forgery")
def verify_16_constant_test():
"""
"""
if nacl.crypto_verify_16_BYTES != 16:
raise ValueError("invalid crypto_verify_16_BYTES")
x = nacl.crypto_verify_16
x = nacl.crypto_verify_16_BYTES
x = nacl.crypto_verify_16_IMPLEMENTATION
x = nacl.crypto_verify_16_VERSION
def run():
"'"
"'"
verify_16_test()
verify_16_constant_test()
if __name__ == '__main__':
run()
| {
"repo_name": "warner/python-tweetnacl",
"path": "test/test_verify_16.py",
"copies": "1",
"size": "1052",
"license": "mit",
"hash": -58365631113542130,
"line_mean": 20.4693877551,
"line_max": 66,
"alpha_frac": 0.4657794677,
"autogenerated": false,
"ratio": 3.8254545454545457,
"config_test": false,
"has_no_keywords": false,
"few_assignments": false,
"quality_score": 0.9628207473510295,
"avg_score": 0.03260530792885004,
"num_lines": 49
} |
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