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stringlengths 2
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⌀ | name
stringlengths 1
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| docstring
stringlengths 0
281k
⌀ | code
stringlengths 4
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| signature
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⌀ | embed_func_code
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8,752 | ipaddr | _parse_hextet | Convert an IPv6 hextet string into an integer.
Args:
hextet_str: A string, the number to parse.
Returns:
The hextet as an integer.
Raises:
ValueError: if the input isn't strictly a hex number from [0..FFFF].
| def _parse_hextet(self, hextet_str):
"""Convert an IPv6 hextet string into an integer.
Args:
hextet_str: A string, the number to parse.
Returns:
The hextet as an integer.
Raises:
ValueError: if the input isn't strictly a hex number from [0..FFFF].
"""
# Whitelist the characters, since int() allows a lot of bizarre stuff.
if not self._HEX_DIGITS.issuperset(hextet_str):
raise ValueError
if len(hextet_str) > 4:
raise ValueError
hextet_int = int(hextet_str, 16)
if hextet_int > 0xFFFF:
raise ValueError
return hextet_int
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] |
8,753 | ipaddr | _string_from_ip_int | Turns a 128-bit integer into hexadecimal notation.
Args:
ip_int: An integer, the IP address.
Returns:
A string, the hexadecimal representation of the address.
Raises:
ValueError: The address is bigger than 128 bits of all ones.
| def _string_from_ip_int(self, ip_int=None):
"""Turns a 128-bit integer into hexadecimal notation.
Args:
ip_int: An integer, the IP address.
Returns:
A string, the hexadecimal representation of the address.
Raises:
ValueError: The address is bigger than 128 bits of all ones.
"""
if not ip_int and ip_int != 0:
ip_int = int(self._ip)
if ip_int > self._ALL_ONES:
raise ValueError('IPv6 address is too large')
hex_str = '%032x' % ip_int
hextets = []
for x in range(0, 32, 4):
hextets.append('%x' % int(hex_str[x:x+4], 16))
hextets = self._compress_hextets(hextets)
return ':'.join(hextets)
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] |
8,754 | ipaddr | IPv6Network | This class represents and manipulates 128-bit IPv6 networks.
Attributes: [examples for IPv6('2001:658:22A:CAFE:200::1/64')]
.ip: IPv6Address('2001:658:22a:cafe:200::1')
.network: IPv6Address('2001:658:22a:cafe::')
.hostmask: IPv6Address('::ffff:ffff:ffff:ffff')
.broadcast: IPv6Address('2001:658:22a:cafe:ffff:ffff:ffff:ffff')
.netmask: IPv6Address('ffff:ffff:ffff:ffff::')
.prefixlen: 64
| class IPv6Network(_BaseV6, _BaseNet):
"""This class represents and manipulates 128-bit IPv6 networks.
Attributes: [examples for IPv6('2001:658:22A:CAFE:200::1/64')]
.ip: IPv6Address('2001:658:22a:cafe:200::1')
.network: IPv6Address('2001:658:22a:cafe::')
.hostmask: IPv6Address('::ffff:ffff:ffff:ffff')
.broadcast: IPv6Address('2001:658:22a:cafe:ffff:ffff:ffff:ffff')
.netmask: IPv6Address('ffff:ffff:ffff:ffff::')
.prefixlen: 64
"""
def __init__(self, address, strict=False):
"""Instantiate a new IPv6 network object.
Args:
address: The IPv6 network as a string, 2-tuple, or any format
supported by the IPv6Address constructor.
Strings should be in CIDR format, such as '2001:db8::/32'.
The 2-tuple format consists of an (ip, prefixlen), where ip is any
format recognized by the IPv6Address constructor, and prefixlen is
an integer from 0 through 128.
A plain IPv6 address (in any format) will be forwarded to the
IPv6Address constructor, with an implied prefixlen of 128.
For example, the following inputs are equivalent:
IPv6Network('2001:db8::/128')
IPv6Network('2001:db8:0:0:0:0:0:0/128')
IPv6Network('2001:db8::')
IPv6Network(0x20010db8 << 96)
IPv6Network(IPv6Address('2001:db8::'))
IPv6Network(('2001:db8::', 128))
IPv6Network((0x20010db8 << 96, 128))
IPv6Network((IPv6Address('2001:db8::'), 128))
strict: A boolean. If true, ensure that we have been passed
A true network address, eg, 2001:db8::/32 and not an
IP address on a network, eg, 2001:db8::1/32.
Raises:
AddressValueError: If address isn't a valid IPv6 address.
NetmaskValueError: If the netmask isn't valid for
an IPv6 address.
ValueError: If strict was True and a network address was not
supplied.
"""
_BaseNet.__init__(self, address)
_BaseV6.__init__(self, address)
# Constructing from a single IP address.
if isinstance(address, (int, long, Bytes, IPv6Address)):
self.ip = IPv6Address(address)
self._ip = self.ip._ip
self._prefixlen = self._max_prefixlen
self.netmask = IPv6Address(self._ALL_ONES)
return
# Constructing from an (ip, prefixlen) tuple.
if isinstance(address, tuple):
try:
ip, prefixlen = address
except ValueError:
raise AddressValueError(address)
self.ip = IPv6Address(ip)
self._ip = self.ip._ip
self._prefixlen = self._prefix_from_prefix_int(prefixlen)
else:
# Assume input argument to be string or any object representation
# which converts into a formatted IP prefix string.
addr = str(address).split('/')
if len(addr) > 2:
raise AddressValueError(address)
self._ip = self._ip_int_from_string(addr[0])
self.ip = IPv6Address(self._ip)
if len(addr) == 2:
# This may raise NetmaskValueError
self._prefixlen = self._prefix_from_prefix_string(addr[1])
else:
self._prefixlen = self._max_prefixlen
self.netmask = IPv6Address(self._ip_int_from_prefix(self._prefixlen))
if strict:
if self.ip != self.network:
raise ValueError('%s has host bits set' %
self.ip)
if self._prefixlen == (self._max_prefixlen - 1):
self.iterhosts = self.__iter__
@property
def with_netmask(self):
return self.with_prefixlen
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] |
8,768 | ipaddr | __init__ | Instantiate a new IPv6 network object.
Args:
address: The IPv6 network as a string, 2-tuple, or any format
supported by the IPv6Address constructor.
Strings should be in CIDR format, such as '2001:db8::/32'.
The 2-tuple format consists of an (ip, prefixlen), where ip is any
format recognized by the IPv6Address constructor, and prefixlen is
an integer from 0 through 128.
A plain IPv6 address (in any format) will be forwarded to the
IPv6Address constructor, with an implied prefixlen of 128.
For example, the following inputs are equivalent:
IPv6Network('2001:db8::/128')
IPv6Network('2001:db8:0:0:0:0:0:0/128')
IPv6Network('2001:db8::')
IPv6Network(0x20010db8 << 96)
IPv6Network(IPv6Address('2001:db8::'))
IPv6Network(('2001:db8::', 128))
IPv6Network((0x20010db8 << 96, 128))
IPv6Network((IPv6Address('2001:db8::'), 128))
strict: A boolean. If true, ensure that we have been passed
A true network address, eg, 2001:db8::/32 and not an
IP address on a network, eg, 2001:db8::1/32.
Raises:
AddressValueError: If address isn't a valid IPv6 address.
NetmaskValueError: If the netmask isn't valid for
an IPv6 address.
ValueError: If strict was True and a network address was not
supplied.
| def __init__(self, address, strict=False):
"""Instantiate a new IPv6 network object.
Args:
address: The IPv6 network as a string, 2-tuple, or any format
supported by the IPv6Address constructor.
Strings should be in CIDR format, such as '2001:db8::/32'.
The 2-tuple format consists of an (ip, prefixlen), where ip is any
format recognized by the IPv6Address constructor, and prefixlen is
an integer from 0 through 128.
A plain IPv6 address (in any format) will be forwarded to the
IPv6Address constructor, with an implied prefixlen of 128.
For example, the following inputs are equivalent:
IPv6Network('2001:db8::/128')
IPv6Network('2001:db8:0:0:0:0:0:0/128')
IPv6Network('2001:db8::')
IPv6Network(0x20010db8 << 96)
IPv6Network(IPv6Address('2001:db8::'))
IPv6Network(('2001:db8::', 128))
IPv6Network((0x20010db8 << 96, 128))
IPv6Network((IPv6Address('2001:db8::'), 128))
strict: A boolean. If true, ensure that we have been passed
A true network address, eg, 2001:db8::/32 and not an
IP address on a network, eg, 2001:db8::1/32.
Raises:
AddressValueError: If address isn't a valid IPv6 address.
NetmaskValueError: If the netmask isn't valid for
an IPv6 address.
ValueError: If strict was True and a network address was not
supplied.
"""
_BaseNet.__init__(self, address)
_BaseV6.__init__(self, address)
# Constructing from a single IP address.
if isinstance(address, (int, long, Bytes, IPv6Address)):
self.ip = IPv6Address(address)
self._ip = self.ip._ip
self._prefixlen = self._max_prefixlen
self.netmask = IPv6Address(self._ALL_ONES)
return
# Constructing from an (ip, prefixlen) tuple.
if isinstance(address, tuple):
try:
ip, prefixlen = address
except ValueError:
raise AddressValueError(address)
self.ip = IPv6Address(ip)
self._ip = self.ip._ip
self._prefixlen = self._prefix_from_prefix_int(prefixlen)
else:
# Assume input argument to be string or any object representation
# which converts into a formatted IP prefix string.
addr = str(address).split('/')
if len(addr) > 2:
raise AddressValueError(address)
self._ip = self._ip_int_from_string(addr[0])
self.ip = IPv6Address(self._ip)
if len(addr) == 2:
# This may raise NetmaskValueError
self._prefixlen = self._prefix_from_prefix_string(addr[1])
else:
self._prefixlen = self._max_prefixlen
self.netmask = IPv6Address(self._ip_int_from_prefix(self._prefixlen))
if strict:
if self.ip != self.network:
raise ValueError('%s has host bits set' %
self.ip)
if self._prefixlen == (self._max_prefixlen - 1):
self.iterhosts = self.__iter__
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8,795 | ipaddr | NetmaskValueError | A Value Error related to the netmask. | class NetmaskValueError(ValueError):
"""A Value Error related to the netmask."""
| null | [
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] |
8,796 | ipaddr | _BaseIP | A generic IP object.
This IP class contains the version independent methods which are
used by single IP addresses.
| class _BaseIP(_IPAddrBase):
"""A generic IP object.
This IP class contains the version independent methods which are
used by single IP addresses.
"""
def __eq__(self, other):
try:
return (self._ip == other._ip
and self._version == other._version)
except AttributeError:
return NotImplemented
def __ne__(self, other):
eq = self.__eq__(other)
if eq is NotImplemented:
return NotImplemented
return not eq
def __le__(self, other):
gt = self.__gt__(other)
if gt is NotImplemented:
return NotImplemented
return not gt
def __ge__(self, other):
lt = self.__lt__(other)
if lt is NotImplemented:
return NotImplemented
return not lt
def __lt__(self, other):
if self._version != other._version:
raise TypeError('%s and %s are not of the same version' % (
str(self), str(other)))
if not isinstance(other, _BaseIP):
raise TypeError('%s and %s are not of the same type' % (
str(self), str(other)))
if self._ip != other._ip:
return self._ip < other._ip
return False
def __gt__(self, other):
if self._version != other._version:
raise TypeError('%s and %s are not of the same version' % (
str(self), str(other)))
if not isinstance(other, _BaseIP):
raise TypeError('%s and %s are not of the same type' % (
str(self), str(other)))
if self._ip != other._ip:
return self._ip > other._ip
return False
# Shorthand for Integer addition and subtraction. This is not
# meant to ever support addition/subtraction of addresses.
def __add__(self, other):
if not isinstance(other, int):
return NotImplemented
return IPAddress(int(self) + other, version=self._version)
def __sub__(self, other):
if not isinstance(other, int):
return NotImplemented
return IPAddress(int(self) - other, version=self._version)
def __repr__(self):
return '%s(%r)' % (self.__class__.__name__, str(self))
def __str__(self):
return '%s' % self._string_from_ip_int(self._ip)
def __hash__(self):
return hash(hex(long(self._ip)))
def _get_address_key(self):
return (self._version, self)
@property
def version(self):
raise NotImplementedError('BaseIP has no version')
| () | [
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] |
8,812 | ipaddr | _BaseNet | A generic IP object.
This IP class contains the version independent methods which are
used by networks.
| class _BaseNet(_IPAddrBase):
"""A generic IP object.
This IP class contains the version independent methods which are
used by networks.
"""
def __init__(self, address):
self._cache = {}
def __repr__(self):
return '%s(%r)' % (self.__class__.__name__, str(self))
def iterhosts(self):
"""Generate Iterator over usable hosts in a network.
This is like __iter__ except it doesn't return the network
or broadcast addresses.
"""
cur = int(self.network) + 1
bcast = int(self.broadcast) - 1
while cur <= bcast:
cur += 1
yield IPAddress(cur - 1, version=self._version)
def __iter__(self):
cur = int(self.network)
bcast = int(self.broadcast)
while cur <= bcast:
cur += 1
yield IPAddress(cur - 1, version=self._version)
def __getitem__(self, n):
network = int(self.network)
broadcast = int(self.broadcast)
if n >= 0:
if network + n > broadcast:
raise IndexError
return IPAddress(network + n, version=self._version)
else:
n += 1
if broadcast + n < network:
raise IndexError
return IPAddress(broadcast + n, version=self._version)
def __lt__(self, other):
if self._version != other._version:
raise TypeError('%s and %s are not of the same version' % (
str(self), str(other)))
if not isinstance(other, _BaseNet):
raise TypeError('%s and %s are not of the same type' % (
str(self), str(other)))
if self.network != other.network:
return self.network < other.network
if self.netmask != other.netmask:
return self.netmask < other.netmask
return False
def __gt__(self, other):
if self._version != other._version:
raise TypeError('%s and %s are not of the same version' % (
str(self), str(other)))
if not isinstance(other, _BaseNet):
raise TypeError('%s and %s are not of the same type' % (
str(self), str(other)))
if self.network != other.network:
return self.network > other.network
if self.netmask != other.netmask:
return self.netmask > other.netmask
return False
def __le__(self, other):
gt = self.__gt__(other)
if gt is NotImplemented:
return NotImplemented
return not gt
def __ge__(self, other):
lt = self.__lt__(other)
if lt is NotImplemented:
return NotImplemented
return not lt
def __eq__(self, other):
try:
return (self._version == other._version
and self.network == other.network
and int(self.netmask) == int(other.netmask))
except AttributeError:
if isinstance(other, _BaseIP):
return (self._version == other._version
and self._ip == other._ip)
def __ne__(self, other):
eq = self.__eq__(other)
if eq is NotImplemented:
return NotImplemented
return not eq
def __str__(self):
return '%s/%s' % (str(self.ip),
str(self._prefixlen))
def __hash__(self):
return hash(int(self.network) ^ int(self.netmask))
def __contains__(self, other):
# always false if one is v4 and the other is v6.
if self._version != other._version:
return False
# dealing with another network.
if isinstance(other, _BaseNet):
return (self.network <= other.network and
self.broadcast >= other.broadcast)
# dealing with another address
else:
return (int(self.network) <= int(other._ip) <=
int(self.broadcast))
def overlaps(self, other):
"""Tell if self is partly contained in other."""
return self.network in other or self.broadcast in other or (
other.network in self or other.broadcast in self)
@property
def network(self):
x = self._cache.get('network')
if x is None:
x = IPAddress(self._ip & int(self.netmask), version=self._version)
self._cache['network'] = x
return x
@property
def broadcast(self):
x = self._cache.get('broadcast')
if x is None:
x = IPAddress(self._ip | int(self.hostmask), version=self._version)
self._cache['broadcast'] = x
return x
@property
def hostmask(self):
x = self._cache.get('hostmask')
if x is None:
x = IPAddress(int(self.netmask) ^ self._ALL_ONES,
version=self._version)
self._cache['hostmask'] = x
return x
@property
def with_prefixlen(self):
return '%s/%d' % (str(self.ip), self._prefixlen)
@property
def with_netmask(self):
return '%s/%s' % (str(self.ip), str(self.netmask))
@property
def with_hostmask(self):
return '%s/%s' % (str(self.ip), str(self.hostmask))
@property
def numhosts(self):
"""Number of hosts in the current subnet."""
return int(self.broadcast) - int(self.network) + 1
@property
def version(self):
raise NotImplementedError('BaseNet has no version')
@property
def prefixlen(self):
return self._prefixlen
def address_exclude(self, other):
"""Remove an address from a larger block.
For example:
addr1 = IPNetwork('10.1.1.0/24')
addr2 = IPNetwork('10.1.1.0/26')
addr1.address_exclude(addr2) =
[IPNetwork('10.1.1.64/26'), IPNetwork('10.1.1.128/25')]
or IPv6:
addr1 = IPNetwork('::1/32')
addr2 = IPNetwork('::1/128')
addr1.address_exclude(addr2) = [IPNetwork('::0/128'),
IPNetwork('::2/127'),
IPNetwork('::4/126'),
IPNetwork('::8/125'),
...
IPNetwork('0:0:8000::/33')]
Args:
other: An IPvXNetwork object of the same type.
Returns:
A sorted list of IPvXNetwork objects addresses which is self
minus other.
Raises:
TypeError: If self and other are of difffering address
versions, or if other is not a network object.
ValueError: If other is not completely contained by self.
"""
if not self._version == other._version:
raise TypeError("%s and %s are not of the same version" % (
str(self), str(other)))
if not isinstance(other, _BaseNet):
raise TypeError("%s is not a network object" % str(other))
if other not in self:
raise ValueError('%s not contained in %s' % (str(other),
str(self)))
if other == self:
return []
ret_addrs = []
# Make sure we're comparing the network of other.
other = IPNetwork('%s/%s' % (str(other.network), str(other.prefixlen)),
version=other._version)
s1, s2 = self.subnet()
while s1 != other and s2 != other:
if other in s1:
ret_addrs.append(s2)
s1, s2 = s1.subnet()
elif other in s2:
ret_addrs.append(s1)
s1, s2 = s2.subnet()
else:
# If we got here, there's a bug somewhere.
assert True == False, ('Error performing exclusion: '
's1: %s s2: %s other: %s' %
(str(s1), str(s2), str(other)))
if s1 == other:
ret_addrs.append(s2)
elif s2 == other:
ret_addrs.append(s1)
else:
# If we got here, there's a bug somewhere.
assert True == False, ('Error performing exclusion: '
| (address) | [
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8,826 | ipaddr | __init__ | null | def __init__(self, address):
self._cache = {}
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] |
8,848 | ipaddr | _BaseV4 | Base IPv4 object.
The following methods are used by IPv4 objects in both single IP
addresses and networks.
| class _BaseV4(object):
"""Base IPv4 object.
The following methods are used by IPv4 objects in both single IP
addresses and networks.
"""
# Equivalent to 255.255.255.255 or 32 bits of 1's.
_ALL_ONES = (2**IPV4LENGTH) - 1
_DECIMAL_DIGITS = frozenset('0123456789')
def __init__(self, address):
self._version = 4
self._max_prefixlen = IPV4LENGTH
def _explode_shorthand_ip_string(self):
return str(self)
def _ip_int_from_string(self, ip_str):
"""Turn the given IP string into an integer for comparison.
Args:
ip_str: A string, the IP ip_str.
Returns:
The IP ip_str as an integer.
Raises:
AddressValueError: if ip_str isn't a valid IPv4 Address.
"""
octets = ip_str.split('.')
if len(octets) != 4:
raise AddressValueError(ip_str)
packed_ip = 0
for oc in octets:
try:
packed_ip = (packed_ip << 8) | self._parse_octet(oc)
except ValueError:
raise AddressValueError(ip_str)
return packed_ip
def _parse_octet(self, octet_str):
"""Convert a decimal octet into an integer.
Args:
octet_str: A string, the number to parse.
Returns:
The octet as an integer.
Raises:
ValueError: if the octet isn't strictly a decimal from [0..255].
"""
# Whitelist the characters, since int() allows a lot of bizarre stuff.
if not self._DECIMAL_DIGITS.issuperset(octet_str):
raise ValueError
octet_int = int(octet_str, 10)
# Disallow leading zeroes, because no clear standard exists on
# whether these should be interpreted as decimal or octal.
if octet_int > 255 or (octet_str[0] == '0' and len(octet_str) > 1):
raise ValueError
return octet_int
def _string_from_ip_int(self, ip_int):
"""Turns a 32-bit integer into dotted decimal notation.
Args:
ip_int: An integer, the IP address.
Returns:
The IP address as a string in dotted decimal notation.
"""
octets = []
for _ in xrange(4):
octets.insert(0, str(ip_int & 0xFF))
ip_int >>= 8
return '.'.join(octets)
@property
def max_prefixlen(self):
return self._max_prefixlen
@property
def packed(self):
"""The binary representation of this address."""
return v4_int_to_packed(self._ip)
@property
def version(self):
return self._version
@property
def is_reserved(self):
"""Test if the address is otherwise IETF reserved.
Returns:
A boolean, True if the address is within the
reserved IPv4 Network range.
"""
return self in IPv4Network('240.0.0.0/4')
@property
def is_private(self):
"""Test if this address is allocated for private networks.
Returns:
A boolean, True if the address is reserved per RFC 1918.
"""
return (self in IPv4Network('10.0.0.0/8') or
self in IPv4Network('172.16.0.0/12') or
self in IPv4Network('192.168.0.0/16'))
@property
def is_multicast(self):
"""Test if the address is reserved for multicast use.
Returns:
A boolean, True if the address is multicast.
See RFC 3171 for details.
"""
return self in IPv4Network('224.0.0.0/4')
@property
def is_unspecified(self):
"""Test if the address is unspecified.
Returns:
A boolean, True if this is the unspecified address as defined in
RFC 5735 3.
"""
return self in IPv4Network('0.0.0.0')
@property
def is_loopback(self):
"""Test if the address is a loopback address.
Returns:
A boolean, True if the address is a loopback per RFC 3330.
"""
return self in IPv4Network('127.0.0.0/8')
@property
def is_link_local(self):
"""Test if the address is reserved for link-local.
Returns:
A boolean, True if the address is link-local per RFC 3927.
"""
return self in IPv4Network('169.254.0.0/16')
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8,849 | ipaddr | __init__ | null | def __init__(self, address):
self._version = 4
self._max_prefixlen = IPV4LENGTH
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] |
8,854 | ipaddr | _BaseV6 | Base IPv6 object.
The following methods are used by IPv6 objects in both single IP
addresses and networks.
| class _BaseV6(object):
"""Base IPv6 object.
The following methods are used by IPv6 objects in both single IP
addresses and networks.
"""
_ALL_ONES = (2**IPV6LENGTH) - 1
_HEXTET_COUNT = 8
_HEX_DIGITS = frozenset('0123456789ABCDEFabcdef')
def __init__(self, address):
self._version = 6
self._max_prefixlen = IPV6LENGTH
def _ip_int_from_string(self, ip_str):
"""Turn an IPv6 ip_str into an integer.
Args:
ip_str: A string, the IPv6 ip_str.
Returns:
A long, the IPv6 ip_str.
Raises:
AddressValueError: if ip_str isn't a valid IPv6 Address.
"""
parts = ip_str.split(':')
# An IPv6 address needs at least 2 colons (3 parts).
if len(parts) < 3:
raise AddressValueError(ip_str)
# If the address has an IPv4-style suffix, convert it to hexadecimal.
if '.' in parts[-1]:
ipv4_int = IPv4Address(parts.pop())._ip
parts.append('%x' % ((ipv4_int >> 16) & 0xFFFF))
parts.append('%x' % (ipv4_int & 0xFFFF))
# An IPv6 address can't have more than 8 colons (9 parts).
if len(parts) > self._HEXTET_COUNT + 1:
raise AddressValueError(ip_str)
# Disregarding the endpoints, find '::' with nothing in between.
# This indicates that a run of zeroes has been skipped.
try:
skip_index, = (
[i for i in xrange(1, len(parts) - 1) if not parts[i]] or
[None])
except ValueError:
# Can't have more than one '::'
raise AddressValueError(ip_str)
# parts_hi is the number of parts to copy from above/before the '::'
# parts_lo is the number of parts to copy from below/after the '::'
if skip_index is not None:
# If we found a '::', then check if it also covers the endpoints.
parts_hi = skip_index
parts_lo = len(parts) - skip_index - 1
if not parts[0]:
parts_hi -= 1
if parts_hi:
raise AddressValueError(ip_str) # ^: requires ^::
if not parts[-1]:
parts_lo -= 1
if parts_lo:
raise AddressValueError(ip_str) # :$ requires ::$
parts_skipped = self._HEXTET_COUNT - (parts_hi + parts_lo)
if parts_skipped < 1:
raise AddressValueError(ip_str)
else:
# Otherwise, allocate the entire address to parts_hi. The endpoints
# could still be empty, but _parse_hextet() will check for that.
if len(parts) != self._HEXTET_COUNT:
raise AddressValueError(ip_str)
parts_hi = len(parts)
parts_lo = 0
parts_skipped = 0
try:
# Now, parse the hextets into a 128-bit integer.
ip_int = long(0)
for i in xrange(parts_hi):
ip_int <<= 16
ip_int |= self._parse_hextet(parts[i])
ip_int <<= 16 * parts_skipped
for i in xrange(-parts_lo, 0):
ip_int <<= 16
ip_int |= self._parse_hextet(parts[i])
return ip_int
except ValueError:
raise AddressValueError(ip_str)
def _parse_hextet(self, hextet_str):
"""Convert an IPv6 hextet string into an integer.
Args:
hextet_str: A string, the number to parse.
Returns:
The hextet as an integer.
Raises:
ValueError: if the input isn't strictly a hex number from [0..FFFF].
"""
# Whitelist the characters, since int() allows a lot of bizarre stuff.
if not self._HEX_DIGITS.issuperset(hextet_str):
raise ValueError
if len(hextet_str) > 4:
raise ValueError
hextet_int = int(hextet_str, 16)
if hextet_int > 0xFFFF:
raise ValueError
return hextet_int
def _compress_hextets(self, hextets):
"""Compresses a list of hextets.
Compresses a list of strings, replacing the longest continuous
sequence of "0" in the list with "" and adding empty strings at
the beginning or at the end of the string such that subsequently
calling ":".join(hextets) will produce the compressed version of
the IPv6 address.
Args:
hextets: A list of strings, the hextets to compress.
Returns:
A list of strings.
"""
best_doublecolon_start = -1
best_doublecolon_len = 0
doublecolon_start = -1
doublecolon_len = 0
for index in range(len(hextets)):
if hextets[index] == '0':
doublecolon_len += 1
if doublecolon_start == -1:
# Start of a sequence of zeros.
doublecolon_start = index
if doublecolon_len > best_doublecolon_len:
# This is the longest sequence of zeros so far.
best_doublecolon_len = doublecolon_len
best_doublecolon_start = doublecolon_start
else:
doublecolon_len = 0
doublecolon_start = -1
if best_doublecolon_len > 1:
best_doublecolon_end = (best_doublecolon_start +
best_doublecolon_len)
# For zeros at the end of the address.
if best_doublecolon_end == len(hextets):
hextets += ['']
hextets[best_doublecolon_start:best_doublecolon_end] = ['']
# For zeros at the beginning of the address.
if best_doublecolon_start == 0:
hextets = [''] + hextets
return hextets
def _string_from_ip_int(self, ip_int=None):
"""Turns a 128-bit integer into hexadecimal notation.
Args:
ip_int: An integer, the IP address.
Returns:
A string, the hexadecimal representation of the address.
Raises:
ValueError: The address is bigger than 128 bits of all ones.
"""
if not ip_int and ip_int != 0:
ip_int = int(self._ip)
if ip_int > self._ALL_ONES:
raise ValueError('IPv6 address is too large')
hex_str = '%032x' % ip_int
hextets = []
for x in range(0, 32, 4):
hextets.append('%x' % int(hex_str[x:x+4], 16))
hextets = self._compress_hextets(hextets)
return ':'.join(hextets)
def _explode_shorthand_ip_string(self):
"""Expand a shortened IPv6 address.
Args:
ip_str: A string, the IPv6 address.
Returns:
A string, the expanded IPv6 address.
"""
if isinstance(self, _BaseNet):
ip_str = str(self.ip)
else:
ip_str = str(self)
ip_int = self._ip_int_from_string(ip_str)
parts = []
for i in xrange(self._HEXTET_COUNT):
parts.append('%04x' % (ip_int & 0xFFFF))
ip_int >>= 16
parts.reverse()
if isinstance(self, _BaseNet):
return '%s/%d' % (':'.join(parts), self.prefixlen)
return ':'.join(parts)
@property
def max_prefixlen(self):
return self._max_prefixlen
@property
def packed(self):
"""The binary representation of this address."""
return v6_int_to_packed(self._ip)
@property
def version(self):
return self._version
@property
def is_multicast(self):
"""Test if the address is reserved for multicast use.
Returns:
A boolean, True if the address is a multicast address.
See RFC 2373 2.7 for details.
"""
return self in IPv6Network('ff00::/8')
@property
def is_reserved(self):
"""Test if the address is otherwise IETF reserved.
Returns:
A boolean, True if the address is within one of the
reserved IPv6 Network ranges.
"""
return (self in IPv6Network('::/8') or
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8,855 | ipaddr | __init__ | null | def __init__(self, address):
self._version = 6
self._max_prefixlen = IPV6LENGTH
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] |
8,861 | ipaddr | _IPAddrBase | The mother class. | class _IPAddrBase(object):
"""The mother class."""
def __index__(self):
return self._ip
def __int__(self):
return self._ip
def __hex__(self):
return hex(self._ip)
@property
def exploded(self):
"""Return the longhand version of the IP address as a string."""
return self._explode_shorthand_ip_string()
@property
def compressed(self):
"""Return the shorthand version of the IP address as a string."""
return str(self)
| () | [
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0.04543084651231766,
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0.07792418450117111,
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0.08308423310518265,
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0.01648036763072014,
0.01693841442465782,
-0.01147923432290554,
0.0370551198720932
] |
8,865 | ipaddr | _collapse_address_list_recursive | Loops through the addresses, collapsing concurrent netblocks.
Example:
ip1 = IPv4Network('1.1.0.0/24')
ip2 = IPv4Network('1.1.1.0/24')
ip3 = IPv4Network('1.1.2.0/24')
ip4 = IPv4Network('1.1.3.0/24')
ip5 = IPv4Network('1.1.4.0/24')
ip6 = IPv4Network('1.1.0.1/22')
_collapse_address_list_recursive([ip1, ip2, ip3, ip4, ip5, ip6]) ->
[IPv4Network('1.1.0.0/22'), IPv4Network('1.1.4.0/24')]
This shouldn't be called directly; it is called via
collapse_address_list([]).
Args:
addresses: A list of IPv4Network's or IPv6Network's
Returns:
A list of IPv4Network's or IPv6Network's depending on what we were
passed.
| def _collapse_address_list_recursive(addresses):
"""Loops through the addresses, collapsing concurrent netblocks.
Example:
ip1 = IPv4Network('1.1.0.0/24')
ip2 = IPv4Network('1.1.1.0/24')
ip3 = IPv4Network('1.1.2.0/24')
ip4 = IPv4Network('1.1.3.0/24')
ip5 = IPv4Network('1.1.4.0/24')
ip6 = IPv4Network('1.1.0.1/22')
_collapse_address_list_recursive([ip1, ip2, ip3, ip4, ip5, ip6]) ->
[IPv4Network('1.1.0.0/22'), IPv4Network('1.1.4.0/24')]
This shouldn't be called directly; it is called via
collapse_address_list([]).
Args:
addresses: A list of IPv4Network's or IPv6Network's
Returns:
A list of IPv4Network's or IPv6Network's depending on what we were
passed.
"""
ret_array = []
optimized = False
for cur_addr in addresses:
if not ret_array:
ret_array.append(cur_addr)
continue
if cur_addr in ret_array[-1]:
optimized = True
elif cur_addr == ret_array[-1].supernet().subnet()[1]:
ret_array.append(ret_array.pop().supernet())
optimized = True
else:
ret_array.append(cur_addr)
if optimized:
return _collapse_address_list_recursive(ret_array)
return ret_array
| (addresses) | [
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0.01615777797996998,
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] |
8,866 | ipaddr | _count_righthand_zero_bits | Count the number of zero bits on the right hand side.
Args:
number: an integer.
bits: maximum number of bits to count.
Returns:
The number of zero bits on the right hand side of the number.
| def _count_righthand_zero_bits(number, bits):
"""Count the number of zero bits on the right hand side.
Args:
number: an integer.
bits: maximum number of bits to count.
Returns:
The number of zero bits on the right hand side of the number.
"""
if number == 0:
return bits
for i in range(bits):
if (number >> i) % 2:
return i
| (number, bits) | [
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] |
8,867 | ipaddr | _find_address_range | Find a sequence of addresses.
Args:
addresses: a list of IPv4 or IPv6 addresses.
Returns:
A tuple containing the first and last IP addresses in the sequence,
and the index of the last IP address in the sequence.
| def _find_address_range(addresses):
"""Find a sequence of addresses.
Args:
addresses: a list of IPv4 or IPv6 addresses.
Returns:
A tuple containing the first and last IP addresses in the sequence,
and the index of the last IP address in the sequence.
"""
first = last = addresses[0]
last_index = 0
for ip in addresses[1:]:
if ip._ip == last._ip + 1:
last = ip
last_index += 1
else:
break
return (first, last, last_index)
| (addresses) | [
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] |
8,868 | ipaddr | _get_prefix_length | Get the number of leading bits that are same for two numbers.
Args:
number1: an integer.
number2: another integer.
bits: the maximum number of bits to compare.
Returns:
The number of leading bits that are the same for two numbers.
| def _get_prefix_length(number1, number2, bits):
"""Get the number of leading bits that are same for two numbers.
Args:
number1: an integer.
number2: another integer.
bits: the maximum number of bits to compare.
Returns:
The number of leading bits that are the same for two numbers.
"""
for i in range(bits):
if number1 >> i == number2 >> i:
return bits - i
return 0
| (number1, number2, bits) | [
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0.047670431435108185,
0.03351280465722084,
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] |
8,870 | ipaddr | get_mixed_type_key | Return a key suitable for sorting between networks and addresses.
Address and Network objects are not sortable by default; they're
fundamentally different so the expression
IPv4Address('1.1.1.1') <= IPv4Network('1.1.1.1/24')
doesn't make any sense. There are some times however, where you may wish
to have ipaddr sort these for you anyway. If you need to do this, you
can use this function as the key= argument to sorted().
Args:
obj: either a Network or Address object.
Returns:
appropriate key.
| def get_mixed_type_key(obj):
"""Return a key suitable for sorting between networks and addresses.
Address and Network objects are not sortable by default; they're
fundamentally different so the expression
IPv4Address('1.1.1.1') <= IPv4Network('1.1.1.1/24')
doesn't make any sense. There are some times however, where you may wish
to have ipaddr sort these for you anyway. If you need to do this, you
can use this function as the key= argument to sorted().
Args:
obj: either a Network or Address object.
Returns:
appropriate key.
"""
if isinstance(obj, _BaseNet):
return obj._get_networks_key()
elif isinstance(obj, _BaseIP):
return obj._get_address_key()
return NotImplemented
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] |
8,873 | ipaddr | summarize_address_range | Summarize a network range given the first and last IP addresses.
Example:
>>> summarize_address_range(IPv4Address('1.1.1.0'),
IPv4Address('1.1.1.130'))
[IPv4Network('1.1.1.0/25'), IPv4Network('1.1.1.128/31'),
IPv4Network('1.1.1.130/32')]
Args:
first: the first IPv4Address or IPv6Address in the range.
last: the last IPv4Address or IPv6Address in the range.
Returns:
The address range collapsed to a list of IPv4Network's or
IPv6Network's.
Raise:
TypeError:
If the first and last objects are not IP addresses.
If the first and last objects are not the same version.
ValueError:
If the last object is not greater than the first.
If the version is not 4 or 6.
| def summarize_address_range(first, last):
"""Summarize a network range given the first and last IP addresses.
Example:
>>> summarize_address_range(IPv4Address('1.1.1.0'),
IPv4Address('1.1.1.130'))
[IPv4Network('1.1.1.0/25'), IPv4Network('1.1.1.128/31'),
IPv4Network('1.1.1.130/32')]
Args:
first: the first IPv4Address or IPv6Address in the range.
last: the last IPv4Address or IPv6Address in the range.
Returns:
The address range collapsed to a list of IPv4Network's or
IPv6Network's.
Raise:
TypeError:
If the first and last objects are not IP addresses.
If the first and last objects are not the same version.
ValueError:
If the last object is not greater than the first.
If the version is not 4 or 6.
"""
if not (isinstance(first, _BaseIP) and isinstance(last, _BaseIP)):
raise TypeError('first and last must be IP addresses, not networks')
if first.version != last.version:
raise TypeError("%s and %s are not of the same version" % (
str(first), str(last)))
if first > last:
raise ValueError('last IP address must be greater than first')
networks = []
if first.version == 4:
ip = IPv4Network
elif first.version == 6:
ip = IPv6Network
else:
raise ValueError('unknown IP version')
ip_bits = first._max_prefixlen
first_int = first._ip
last_int = last._ip
while first_int <= last_int:
nbits = _count_righthand_zero_bits(first_int, ip_bits)
current = None
while nbits >= 0:
addend = 2**nbits - 1
current = first_int + addend
nbits -= 1
if current <= last_int:
break
prefix = _get_prefix_length(first_int, current, ip_bits)
net = ip('%s/%d' % (str(first), prefix))
networks.append(net)
if current == ip._ALL_ONES:
break
first_int = current + 1
first = IPAddress(first_int, version=first._version)
return networks
| (first, last) | [
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] |
8,875 | ipaddr | v4_int_to_packed | The binary representation of this address.
Args:
address: An integer representation of an IPv4 IP address.
Returns:
The binary representation of this address.
Raises:
ValueError: If the integer is too large to be an IPv4 IP
address.
| def v4_int_to_packed(address):
"""The binary representation of this address.
Args:
address: An integer representation of an IPv4 IP address.
Returns:
The binary representation of this address.
Raises:
ValueError: If the integer is too large to be an IPv4 IP
address.
"""
if address > _BaseV4._ALL_ONES:
raise ValueError('Address too large for IPv4')
return Bytes(struct.pack('!I', address))
| (address) | [
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] |
8,876 | ipaddr | v6_int_to_packed | The binary representation of this address.
Args:
address: An integer representation of an IPv6 IP address.
Returns:
The binary representation of this address.
| def v6_int_to_packed(address):
"""The binary representation of this address.
Args:
address: An integer representation of an IPv6 IP address.
Returns:
The binary representation of this address.
"""
return Bytes(struct.pack('!QQ', address >> 64, address & (2**64 - 1)))
| (address) | [
0.016142738983035088,
0.06392524391412735,
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8,877 | builtins | range | range(stop) -> range object
range(start, stop[, step]) -> range object
Return an object that produces a sequence of integers from start (inclusive)
to stop (exclusive) by step. range(i, j) produces i, i+1, i+2, ..., j-1.
start defaults to 0, and stop is omitted! range(4) produces 0, 1, 2, 3.
These are exactly the valid indices for a list of 4 elements.
When step is given, it specifies the increment (or decrement). | from builtins import range
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] |
8,879 | sentencepiece | ImmutableNBestSentencePieceText | null | class ImmutableNBestSentencePieceText(object):
thisown = property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc="The membership flag")
__repr__ = _swig_repr
def __init__(self):
_sentencepiece.ImmutableNBestSentencePieceText_swiginit(self, _sentencepiece.new_ImmutableNBestSentencePieceText())
__swig_destroy__ = _sentencepiece.delete_ImmutableNBestSentencePieceText
def _nbests_size(self):
return _sentencepiece.ImmutableNBestSentencePieceText__nbests_size(self)
def _nbests(self, index):
return _sentencepiece.ImmutableNBestSentencePieceText__nbests(self, index)
def SerializeAsString(self):
return _sentencepiece.ImmutableNBestSentencePieceText_SerializeAsString(self)
class ImmutableSentencePieceTextIterator:
def __init__(self, proto):
self.proto = proto
self.len = self.proto._nbests_size()
def __len__(self):
return self.len
def __getitem__(self, index):
if isinstance(index, slice):
return [self.proto._nbests(i) for i in range(self.len)][index.start:index.stop:index.step]
if index < 0:
index = index + self.len
if index < 0 or index >= self.len:
raise IndexError('nbests index is out of range')
return self.proto._nbests(index)
def __str__(self):
return '\n'.join(['nbests {{\n{}}}'.format(str(x)) for x in self])
__repr__ = __str__
@property
def nbests(self):
return ImmutableNBestSentencePieceText.ImmutableSentencePieceTextIterator(self)
def __eq__(self, other):
return self.SerializeAsString() == other.SerializeAsString()
def __hash__(self):
return hash(self.SerializeAsString())
def __str__(self):
return '\n'.join(['nbests {{\n{}}}'.format(str(x)) for x in self.nbests])
__repr__ = __str__
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8,880 | sentencepiece | SerializeAsString | null | def SerializeAsString(self):
return _sentencepiece.ImmutableNBestSentencePieceText_SerializeAsString(self)
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8,881 | sentencepiece | __eq__ | null | def __eq__(self, other):
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8,882 | sentencepiece | __hash__ | null | def __hash__(self):
return hash(self.SerializeAsString())
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8,883 | sentencepiece | __init__ | null | def __init__(self):
_sentencepiece.ImmutableNBestSentencePieceText_swiginit(self, _sentencepiece.new_ImmutableNBestSentencePieceText())
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8,884 | sentencepiece | __str__ | null | def __str__(self):
return '\n'.join(['nbests {{\n{}}}'.format(str(x)) for x in self.nbests])
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8,886 | sentencepiece | _nbests | null | def _nbests(self, index):
return _sentencepiece.ImmutableNBestSentencePieceText__nbests(self, index)
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8,887 | sentencepiece | _nbests_size | null | def _nbests_size(self):
return _sentencepiece.ImmutableNBestSentencePieceText__nbests_size(self)
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8,888 | sentencepiece | ImmutableSentencePieceText | null | class ImmutableSentencePieceText(object):
thisown = property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc="The membership flag")
__repr__ = _swig_repr
def __init__(self):
_sentencepiece.ImmutableSentencePieceText_swiginit(self, _sentencepiece.new_ImmutableSentencePieceText())
__swig_destroy__ = _sentencepiece.delete_ImmutableSentencePieceText
def _pieces_size(self):
return _sentencepiece.ImmutableSentencePieceText__pieces_size(self)
def _pieces(self, index):
return _sentencepiece.ImmutableSentencePieceText__pieces(self, index)
def _text(self):
return _sentencepiece.ImmutableSentencePieceText__text(self)
def _score(self):
return _sentencepiece.ImmutableSentencePieceText__score(self)
def SerializeAsString(self):
return _sentencepiece.ImmutableSentencePieceText_SerializeAsString(self)
def _text_as_bytes(self):
return _sentencepiece.ImmutableSentencePieceText__text_as_bytes(self)
text = property(_text)
text_as_bytes = property(_text_as_bytes)
score = property(_score)
class ImmutableSentencePieceIterator:
def __init__(self, proto):
self.proto = proto
self.len = self.proto._pieces_size()
def __len__(self):
return self.len
def __getitem__(self, index):
if isinstance(index, slice):
return [self.proto._pieces(i) for i in range(self.len)][index.start:index.stop:index.step]
if index < 0:
index = index + self.len
if index < 0 or index >= self.len:
raise IndexError('piece index is out of range')
return self.proto._pieces(index)
def __str__(self):
return '\n'.join(['pieces {{\n{}}}'.format(str(x)) for x in self])
__repr__ = __str__
@property
def pieces(self):
return ImmutableSentencePieceText.ImmutableSentencePieceIterator(self)
def __eq__(self, other):
return self.SerializeAsString() == other.SerializeAsString()
def __hash__(self):
return hash(self.SerializeAsString())
def __str__(self):
return ('text: \"{}\"\n'
'score: {}\n'
'{}').format(self.text, self.score,
'\n'.join(['pieces {{\n{}}}'.format(str(x)) for x in self.pieces]))
__repr__ = __str__
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8,889 | sentencepiece | SerializeAsString | null | def SerializeAsString(self):
return _sentencepiece.ImmutableSentencePieceText_SerializeAsString(self)
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8,892 | sentencepiece | __init__ | null | def __init__(self):
_sentencepiece.ImmutableSentencePieceText_swiginit(self, _sentencepiece.new_ImmutableSentencePieceText())
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8,893 | sentencepiece | __str__ | null | def __str__(self):
return ('text: \"{}\"\n'
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'\n'.join(['pieces {{\n{}}}'.format(str(x)) for x in self.pieces]))
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8,895 | sentencepiece | _pieces | null | def _pieces(self, index):
return _sentencepiece.ImmutableSentencePieceText__pieces(self, index)
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8,896 | sentencepiece | _pieces_size | null | def _pieces_size(self):
return _sentencepiece.ImmutableSentencePieceText__pieces_size(self)
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8,897 | sentencepiece | _score | null | def _score(self):
return _sentencepiece.ImmutableSentencePieceText__score(self)
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8,898 | sentencepiece | _text | null | def _text(self):
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8,899 | sentencepiece | _text_as_bytes | null | def _text_as_bytes(self):
return _sentencepiece.ImmutableSentencePieceText__text_as_bytes(self)
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8,900 | sentencepiece | ImmutableSentencePieceText_ImmutableSentencePiece | null | class ImmutableSentencePieceText_ImmutableSentencePiece(object):
thisown = property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc="The membership flag")
__repr__ = _swig_repr
def __init__(self):
_sentencepiece.ImmutableSentencePieceText_ImmutableSentencePiece_swiginit(self, _sentencepiece.new_ImmutableSentencePieceText_ImmutableSentencePiece())
__swig_destroy__ = _sentencepiece.delete_ImmutableSentencePieceText_ImmutableSentencePiece
def _piece(self):
return _sentencepiece.ImmutableSentencePieceText_ImmutableSentencePiece__piece(self)
def _surface(self):
return _sentencepiece.ImmutableSentencePieceText_ImmutableSentencePiece__surface(self)
def _id(self):
return _sentencepiece.ImmutableSentencePieceText_ImmutableSentencePiece__id(self)
def _begin(self):
return _sentencepiece.ImmutableSentencePieceText_ImmutableSentencePiece__begin(self)
def _end(self):
return _sentencepiece.ImmutableSentencePieceText_ImmutableSentencePiece__end(self)
def _surface_as_bytes(self):
return _sentencepiece.ImmutableSentencePieceText_ImmutableSentencePiece__surface_as_bytes(self)
def _piece_as_bytes(self):
return _sentencepiece.ImmutableSentencePieceText_ImmutableSentencePiece__piece_as_bytes(self)
piece = property(_piece)
piece_as_bytes = property(_piece_as_bytes)
surface = property(_surface)
surface_as_bytes = property(_surface_as_bytes)
id = property(_id)
begin = property(_begin)
end = property(_end)
def __str__(self):
return ('piece: \"{}\"\n'
'id: {}\n'
'surface: \"{}\"\n'
'begin: {}\n'
'end: {}\n').format(self.piece, self.id, self.surface,
self.begin, self.end)
def __eq__(self, other):
return self.piece == other.piece and self.id == other.id and self.surface == other.surface and self.begin == other.begin and self.end == other.end
def __hash__(self):
return hash(str(self))
__repr__ = __str__
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8,901 | sentencepiece | __eq__ | null | def __eq__(self, other):
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8,902 | sentencepiece | __hash__ | null | def __hash__(self):
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8,903 | sentencepiece | __init__ | null | def __init__(self):
_sentencepiece.ImmutableSentencePieceText_ImmutableSentencePiece_swiginit(self, _sentencepiece.new_ImmutableSentencePieceText_ImmutableSentencePiece())
| (self) | [
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8,904 | sentencepiece | __str__ | null | def __str__(self):
return ('piece: \"{}\"\n'
'id: {}\n'
'surface: \"{}\"\n'
'begin: {}\n'
'end: {}\n').format(self.piece, self.id, self.surface,
self.begin, self.end)
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8,906 | sentencepiece | _begin | null | def _begin(self):
return _sentencepiece.ImmutableSentencePieceText_ImmutableSentencePiece__begin(self)
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8,907 | sentencepiece | _end | null | def _end(self):
return _sentencepiece.ImmutableSentencePieceText_ImmutableSentencePiece__end(self)
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8,908 | sentencepiece | _id | null | def _id(self):
return _sentencepiece.ImmutableSentencePieceText_ImmutableSentencePiece__id(self)
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8,909 | sentencepiece | _piece | null | def _piece(self):
return _sentencepiece.ImmutableSentencePieceText_ImmutableSentencePiece__piece(self)
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8,910 | sentencepiece | _piece_as_bytes | null | def _piece_as_bytes(self):
return _sentencepiece.ImmutableSentencePieceText_ImmutableSentencePiece__piece_as_bytes(self)
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8,911 | sentencepiece | _surface | null | def _surface(self):
return _sentencepiece.ImmutableSentencePieceText_ImmutableSentencePiece__surface(self)
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8,912 | sentencepiece | _surface_as_bytes | null | def _surface_as_bytes(self):
return _sentencepiece.ImmutableSentencePieceText_ImmutableSentencePiece__surface_as_bytes(self)
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] |
8,913 | sentencepiece | SentencePieceNormalizer | null | class SentencePieceNormalizer(object):
thisown = property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc="The membership flag")
__repr__ = _swig_repr
def __init__(self):
_sentencepiece.SentencePieceNormalizer_swiginit(self, _sentencepiece.new_SentencePieceNormalizer())
__swig_destroy__ = _sentencepiece.delete_SentencePieceNormalizer
def LoadFromSerializedProto(self, serialized):
return _sentencepiece.SentencePieceNormalizer_LoadFromSerializedProto(self, serialized)
def LoadFromRuleTSV(self, filename):
return _sentencepiece.SentencePieceNormalizer_LoadFromRuleTSV(self, filename)
def LoadFromRuleName(self, name):
return _sentencepiece.SentencePieceNormalizer_LoadFromRuleName(self, name)
def serialized_model_proto(self):
return _sentencepiece.SentencePieceNormalizer_serialized_model_proto(self)
def LoadFromFile(self, arg):
return _sentencepiece.SentencePieceNormalizer_LoadFromFile(self, arg)
def _Normalize(self, text):
return _sentencepiece.SentencePieceNormalizer__Normalize(self, text)
def _NormalizeWithOffsets(self, text):
return _sentencepiece.SentencePieceNormalizer__NormalizeWithOffsets(self, text)
def _SetProtoField(self, name, value):
return _sentencepiece.SentencePieceNormalizer__SetProtoField(self, name, value)
def Init(self,
model_file=None,
model_proto=None,
rule_tsv=None,
rule_name=None,
add_dummy_prefix=False,
escape_whitespaces=False,
remove_extra_whitespaces=False):
"""Initialzie sentencePieceNormalizer.
Args:
model_file: The sentencepiece model file path.
model_proto: The sentencepiece model serialized proto.
rule_tsv: The normalization rule file in TSV format.
rule_name: Pre-defined normalization name.
add_dummy_prefix: add dummy prefix.
escape_whitespaces: escape whitespaces.
remove_extra_whitespaces: remove extra whitespaces.
"""
_sentencepiece_normalizer_init_native(self)
if model_file:
status = self.LoadFromFile(model_file)
elif model_proto:
status = self.LoadFromSerializedProto(model_proto)
elif rule_tsv:
status = self.LoadFromRuleTSV(rule_tsv)
elif rule_name:
status = self.LoadFromRuleName(rule_name)
else:
raise RuntimeError('no model is specified')
if status:
self._SetProtoField('add_dummy_prefix', add_dummy_prefix)
self._SetProtoField('escape_whitespaces', escape_whitespaces)
self._SetProtoField('remove_extra_whitespaces', remove_extra_whitespaces)
def Normalize(self, input, with_offsets=None):
def _normalize(text):
if with_offsets:
return self._NormalizeWithOffsets(text)
return self._Normalize(text)
if type(input) is list:
return [_normalize(x) for x in input]
return _normalize(input)
def __getstate__(self):
return self.serialized_model_proto()
def __setstate__(self, serialized_model_proto):
self.__init__()
self.LoadFromSerializedProto(serialized_model_proto)
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] |
8,914 | sentencepiece | Init | Initialzie sentencePieceNormalizer.
Args:
model_file: The sentencepiece model file path.
model_proto: The sentencepiece model serialized proto.
rule_tsv: The normalization rule file in TSV format.
rule_name: Pre-defined normalization name.
add_dummy_prefix: add dummy prefix.
escape_whitespaces: escape whitespaces.
remove_extra_whitespaces: remove extra whitespaces.
| def Init(self,
model_file=None,
model_proto=None,
rule_tsv=None,
rule_name=None,
add_dummy_prefix=False,
escape_whitespaces=False,
remove_extra_whitespaces=False):
"""Initialzie sentencePieceNormalizer.
Args:
model_file: The sentencepiece model file path.
model_proto: The sentencepiece model serialized proto.
rule_tsv: The normalization rule file in TSV format.
rule_name: Pre-defined normalization name.
add_dummy_prefix: add dummy prefix.
escape_whitespaces: escape whitespaces.
remove_extra_whitespaces: remove extra whitespaces.
"""
_sentencepiece_normalizer_init_native(self)
if model_file:
status = self.LoadFromFile(model_file)
elif model_proto:
status = self.LoadFromSerializedProto(model_proto)
elif rule_tsv:
status = self.LoadFromRuleTSV(rule_tsv)
elif rule_name:
status = self.LoadFromRuleName(rule_name)
else:
raise RuntimeError('no model is specified')
if status:
self._SetProtoField('add_dummy_prefix', add_dummy_prefix)
self._SetProtoField('escape_whitespaces', escape_whitespaces)
self._SetProtoField('remove_extra_whitespaces', remove_extra_whitespaces)
| (self, model_file=None, model_proto=None, rule_tsv=None, rule_name=None, add_dummy_prefix=False, escape_whitespaces=False, remove_extra_whitespaces=False) | [
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8,915 | sentencepiece | LoadFromFile | null | def LoadFromFile(self, arg):
return _sentencepiece.SentencePieceNormalizer_LoadFromFile(self, arg)
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8,916 | sentencepiece | LoadFromRuleName | null | def LoadFromRuleName(self, name):
return _sentencepiece.SentencePieceNormalizer_LoadFromRuleName(self, name)
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8,917 | sentencepiece | LoadFromRuleTSV | null | def LoadFromRuleTSV(self, filename):
return _sentencepiece.SentencePieceNormalizer_LoadFromRuleTSV(self, filename)
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8,918 | sentencepiece | LoadFromSerializedProto | null | def LoadFromSerializedProto(self, serialized):
return _sentencepiece.SentencePieceNormalizer_LoadFromSerializedProto(self, serialized)
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8,919 | sentencepiece | Normalize | null | def Normalize(self, input, with_offsets=None):
def _normalize(text):
if with_offsets:
return self._NormalizeWithOffsets(text)
return self._Normalize(text)
if type(input) is list:
return [_normalize(x) for x in input]
return _normalize(input)
| (self, input, with_offsets=None) | [
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8,920 | sentencepiece | _Normalize | null | def _Normalize(self, text):
return _sentencepiece.SentencePieceNormalizer__Normalize(self, text)
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8,921 | sentencepiece | _NormalizeWithOffsets | null | def _NormalizeWithOffsets(self, text):
return _sentencepiece.SentencePieceNormalizer__NormalizeWithOffsets(self, text)
| (self, text) | [
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8,922 | sentencepiece | _SetProtoField | null | def _SetProtoField(self, name, value):
return _sentencepiece.SentencePieceNormalizer__SetProtoField(self, name, value)
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8,923 | sentencepiece | __getstate__ | null | def __getstate__(self):
return self.serialized_model_proto()
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8,925 | sentencepiece | _swig_repr | null | def _swig_repr(self):
try:
strthis = "proxy of " + self.this.__repr__()
except __builtin__.Exception:
strthis = ""
return "<%s.%s; %s >" % (self.__class__.__module__, self.__class__.__name__, strthis,)
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8,926 | sentencepiece | __setstate__ | null | def __setstate__(self, serialized_model_proto):
self.__init__()
self.LoadFromSerializedProto(serialized_model_proto)
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8,933 | sentencepiece | serialized_model_proto | null | def serialized_model_proto(self):
return _sentencepiece.SentencePieceNormalizer_serialized_model_proto(self)
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8,934 | sentencepiece | SentencePieceProcessor | null | class SentencePieceProcessor(object):
thisown = property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc="The membership flag")
__repr__ = _swig_repr
def __init__(self):
_sentencepiece.SentencePieceProcessor_swiginit(self, _sentencepiece.new_SentencePieceProcessor())
__swig_destroy__ = _sentencepiece.delete_SentencePieceProcessor
def LoadFromSerializedProto(self, serialized):
return _sentencepiece.SentencePieceProcessor_LoadFromSerializedProto(self, serialized)
def SetEncodeExtraOptions(self, extra_option):
return _sentencepiece.SentencePieceProcessor_SetEncodeExtraOptions(self, extra_option)
def SetDecodeExtraOptions(self, extra_option):
return _sentencepiece.SentencePieceProcessor_SetDecodeExtraOptions(self, extra_option)
def SetVocabulary(self, valid_vocab):
return _sentencepiece.SentencePieceProcessor_SetVocabulary(self, valid_vocab)
def ResetVocabulary(self):
return _sentencepiece.SentencePieceProcessor_ResetVocabulary(self)
def LoadVocabulary(self, filename, threshold):
return _sentencepiece.SentencePieceProcessor_LoadVocabulary(self, filename, threshold)
def CalculateEntropy(self, *args):
return _sentencepiece.SentencePieceProcessor_CalculateEntropy(self, *args)
def GetPieceSize(self):
return _sentencepiece.SentencePieceProcessor_GetPieceSize(self)
def PieceToId(self, piece):
return _sentencepiece.SentencePieceProcessor_PieceToId(self, piece)
def IdToPiece(self, id):
return _sentencepiece.SentencePieceProcessor_IdToPiece(self, id)
def GetScore(self, id):
return _sentencepiece.SentencePieceProcessor_GetScore(self, id)
def IsUnknown(self, id):
return _sentencepiece.SentencePieceProcessor_IsUnknown(self, id)
def IsControl(self, id):
return _sentencepiece.SentencePieceProcessor_IsControl(self, id)
def IsUnused(self, id):
return _sentencepiece.SentencePieceProcessor_IsUnused(self, id)
def IsByte(self, id):
return _sentencepiece.SentencePieceProcessor_IsByte(self, id)
def unk_id(self):
return _sentencepiece.SentencePieceProcessor_unk_id(self)
def bos_id(self):
return _sentencepiece.SentencePieceProcessor_bos_id(self)
def eos_id(self):
return _sentencepiece.SentencePieceProcessor_eos_id(self)
def pad_id(self):
return _sentencepiece.SentencePieceProcessor_pad_id(self)
def serialized_model_proto(self):
return _sentencepiece.SentencePieceProcessor_serialized_model_proto(self)
def LoadFromFile(self, arg):
return _sentencepiece.SentencePieceProcessor_LoadFromFile(self, arg)
def _EncodeAsIds(self, text, enable_sampling, nbest_size, alpha, add_bos, add_eos, reverse, emit_unk_piece):
return _sentencepiece.SentencePieceProcessor__EncodeAsIds(self, text, enable_sampling, nbest_size, alpha, add_bos, add_eos, reverse, emit_unk_piece)
def _EncodeAsPieces(self, text, enable_sampling, nbest_size, alpha, add_bos, add_eos, reverse, emit_unk_piece):
return _sentencepiece.SentencePieceProcessor__EncodeAsPieces(self, text, enable_sampling, nbest_size, alpha, add_bos, add_eos, reverse, emit_unk_piece)
def _EncodeAsSerializedProto(self, text, enable_sampling, nbest_size, alpha, add_bos, add_eos, reverse, emit_unk_piece):
return _sentencepiece.SentencePieceProcessor__EncodeAsSerializedProto(self, text, enable_sampling, nbest_size, alpha, add_bos, add_eos, reverse, emit_unk_piece)
def _EncodeAsImmutableProto(self, text, enable_sampling, nbest_size, alpha, add_bos, add_eos, reverse, emit_unk_piece):
return _sentencepiece.SentencePieceProcessor__EncodeAsImmutableProto(self, text, enable_sampling, nbest_size, alpha, add_bos, add_eos, reverse, emit_unk_piece)
def _EncodeAsIdsBatch(self, ins, num_threads, enable_sampling, nbest_size, alpha, add_bos, add_eos, reverse, emit_unk_piece):
return _sentencepiece.SentencePieceProcessor__EncodeAsIdsBatch(self, ins, num_threads, enable_sampling, nbest_size, alpha, add_bos, add_eos, reverse, emit_unk_piece)
def _EncodeAsPiecesBatch(self, ins, num_threads, enable_sampling, nbest_size, alpha, add_bos, add_eos, reverse, emit_unk_piece):
return _sentencepiece.SentencePieceProcessor__EncodeAsPiecesBatch(self, ins, num_threads, enable_sampling, nbest_size, alpha, add_bos, add_eos, reverse, emit_unk_piece)
def _EncodeAsSerializedProtoBatch(self, ins, num_threads, enable_sampling, nbest_size, alpha, add_bos, add_eos, reverse, emit_unk_piece):
return _sentencepiece.SentencePieceProcessor__EncodeAsSerializedProtoBatch(self, ins, num_threads, enable_sampling, nbest_size, alpha, add_bos, add_eos, reverse, emit_unk_piece)
def _EncodeAsImmutableProtoBatch(self, ins, num_threads, enable_sampling, nbest_size, alpha, add_bos, add_eos, reverse, emit_unk_piece):
return _sentencepiece.SentencePieceProcessor__EncodeAsImmutableProtoBatch(self, ins, num_threads, enable_sampling, nbest_size, alpha, add_bos, add_eos, reverse, emit_unk_piece)
def _DecodeIds(self, ids):
return _sentencepiece.SentencePieceProcessor__DecodeIds(self, ids)
def _DecodeIdsAsBytes(self, ids):
return _sentencepiece.SentencePieceProcessor__DecodeIdsAsBytes(self, ids)
def _DecodePieces(self, pieces):
return _sentencepiece.SentencePieceProcessor__DecodePieces(self, pieces)
def _DecodeIdsAsSerializedProto(self, ids):
return _sentencepiece.SentencePieceProcessor__DecodeIdsAsSerializedProto(self, ids)
def _DecodePiecesAsSerializedProto(self, pieces):
return _sentencepiece.SentencePieceProcessor__DecodePiecesAsSerializedProto(self, pieces)
def _DecodeIdsAsImmutableProto(self, ids):
return _sentencepiece.SentencePieceProcessor__DecodeIdsAsImmutableProto(self, ids)
def _DecodePiecesAsImmutableProto(self, pieces):
return _sentencepiece.SentencePieceProcessor__DecodePiecesAsImmutableProto(self, pieces)
def _DecodeIdsBatch(self, ins, num_threads):
return _sentencepiece.SentencePieceProcessor__DecodeIdsBatch(self, ins, num_threads)
def _DecodeIdsAsBytesBatch(self, ins, num_threads):
return _sentencepiece.SentencePieceProcessor__DecodeIdsAsBytesBatch(self, ins, num_threads)
def _DecodeIdsAsSerializedProtoBatch(self, ins, num_threads):
return _sentencepiece.SentencePieceProcessor__DecodeIdsAsSerializedProtoBatch(self, ins, num_threads)
def _DecodeIdsAsImmutableProtoBatch(self, ins, num_threads):
return _sentencepiece.SentencePieceProcessor__DecodeIdsAsImmutableProtoBatch(self, ins, num_threads)
def _DecodePiecesBatch(self, ins, num_threads):
return _sentencepiece.SentencePieceProcessor__DecodePiecesBatch(self, ins, num_threads)
def _DecodePiecesAsSerializedProtoBatch(self, ins, num_threads):
return _sentencepiece.SentencePieceProcessor__DecodePiecesAsSerializedProtoBatch(self, ins, num_threads)
def _DecodePiecesAsImmutableProtoBatch(self, ins, num_threads):
return _sentencepiece.SentencePieceProcessor__DecodePiecesAsImmutableProtoBatch(self, ins, num_threads)
def _NBestEncodeAsIds(self, text, nbest_size, add_bos, add_eos, reverse, emit_unk_piece):
return _sentencepiece.SentencePieceProcessor__NBestEncodeAsIds(self, text, nbest_size, add_bos, add_eos, reverse, emit_unk_piece)
def _NBestEncodeAsPieces(self, text, nbest_size, add_bos, add_eos, reverse, emit_unk_piece):
return _sentencepiece.SentencePieceProcessor__NBestEncodeAsPieces(self, text, nbest_size, add_bos, add_eos, reverse, emit_unk_piece)
def _NBestEncodeAsSerializedProto(self, text, nbest_size, add_bos, add_eos, reverse, emit_unk_piece):
return _sentencepiece.SentencePieceProcessor__NBestEncodeAsSerializedProto(self, text, nbest_size, add_bos, add_eos, reverse, emit_unk_piece)
def _NBestEncodeAsImmutableProto(self, text, nbest_size, add_bos, add_eos, reverse, emit_unk_piece):
return _sentencepiece.SentencePieceProcessor__NBestEncodeAsImmutableProto(self, text, nbest_size, add_bos, add_eos, reverse, em | (model_file=None, model_proto=None, out_type=<class 'int'>, add_bos=False, add_eos=False, reverse=False, emit_unk_piece=False, enable_sampling=False, nbest_size=-1, alpha=0.1, num_threads=-1) | [
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8,935 | sentencepiece | CalculateEntropy | Calculate sentence entropy | def CalculateEntropy(self, input, alpha, num_threads=None):
"""Calculate sentence entropy"""
if type(input) is list:
if num_threads is None:
num_threads = self._num_threads
if num_threads is None or type(num_threads) is not int:
raise RuntimeError('num_threads must be int')
return self._CalculateEntropyBatch(input, alpha, num_threads)
return self._CalculateEntropy(input, alpha)
| (self, input, alpha, num_threads=None) | [
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] |
8,936 | sentencepiece | Decode | Decode processed id or token sequences.
Args:
out_type: output type. str, bytes or 'serialized_proto' or 'immutable_proto' (Default = str)
num_threads: the number of threads used in the batch processing (Default = -1).
| def Decode(self, input, out_type=str, num_threads=None):
"""Decode processed id or token sequences.
Args:
out_type: output type. str, bytes or 'serialized_proto' or 'immutable_proto' (Default = str)
num_threads: the number of threads used in the batch processing (Default = -1).
"""
if num_threads is None:
num_threads = self._num_threads
if num_threads is None or type(num_threads) is not int:
raise RuntimeError('num_threads must be int')
if not input:
return ''
if out_type is str:
if type(input) is int:
return self._DecodeIds([input])
if type(input) is str:
return self._DecodePieces([input])
if type(input) is list:
if len(input) == 0 or type(input[0]) is int:
return self._DecodeIds(input)
if type(input[0]) is str:
return self._DecodePieces(input)
if type(input[0]) is list:
if len(input[0]) == 0 or type(input[0][0]) is int:
return self._DecodeIdsBatch(input, num_threads)
if type(input[0][0]) is str:
return self._DecodePiecesBatch(input, num_threads)
if out_type is bytes:
if type(input) is int:
return self._DecodeIdsAsBytes([input])
if type(input) is str:
return self._DecodePieces([input])
if type(input) is list:
if len(input) == 0 or type(input[0]) is int:
return self._DecodeIdsAsBytes(input)
if type(input[0]) is str:
return self._DecodePieces(input)
if type(input[0]) is list:
if len(input[0]) == 0 or type(input[0][0]) is int:
return self._DecodeIdsAsBytesBatch(input, num_threads)
if type(input[0][0]) is str:
return self._DecodePiecesBatch(input, num_threads)
if out_type == 'serialized_proto':
if type(input) is int:
return self._DecodeIdsAsSerializedProto([input])
if type(input) is str:
return self._DecodePiecesAsSerializedProto([input])
if type(input) is list:
if len(input) == 0 or type(input[0]) is int:
return self._DecodeIdsAsSerializedProto(input)
if type(input[0]) is str:
return self._DecodePiecesAsSerializedProto(input)
if type(input[0]) is list:
if len(input[0]) == 0 or type(input[0][0]) is int:
return self._DecodeIdsAsSerializedProtoBatch(input, num_threads)
if type(input[0][0]) is str:
return self._DecodePiecesAsSerializedProtoBatch(input, num_threads)
if out_type == 'immutable_proto':
if type(input) is int:
return self._DecodeIdsAsImmutableProto([input])
if type(input) is str:
return self._DecodePiecesAsImmutableProto([input])
if type(input) is list:
if len(input) == 0 or type(input[0]) is int:
return self._DecodeIdsAsImmutableProto(input)
if type(input[0]) is str:
return self._DecodePiecesAsImmutableProto(input)
if type(input[0]) is list:
if len(input[0]) == 0 or type(input[0][0]) is int:
return self._DecodeIdsAsImmutableProtoBatch(input, num_threads)
if type(input[0][0]) is str:
return self._DecodePiecesAsImmutableProtoBatch(input, num_threads)
raise RuntimeError('unknown output or input type')
return None
| (self, input, out_type=<class 'str'>, num_threads=None) | [
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8,937 | sentencepiece | DecodeIds | null | def DecodeIds(self, input, out_type=str, **kwargs):
return self.Decode(input=input, out_type=out_type, **kwargs)
| (self, input, out_type=<class 'str'>, **kwargs) | [
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8,938 | sentencepiece | DecodeIdsAsImmutableProto | null | def DecodeIdsAsImmutableProto(self, input, out_type='immutable_proto', **kwargs):
return self.Decode(input=input, out_type=out_type, **kwargs)
| (self, input, out_type='immutable_proto', **kwargs) | [
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8,939 | sentencepiece | DecodeIdsAsSerializedProto | null | def DecodeIdsAsSerializedProto(self, input, out_type='serialized_proto', **kwargs):
return self.Decode(input=input, out_type=out_type, **kwargs)
| (self, input, out_type='serialized_proto', **kwargs) | [
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8,940 | sentencepiece | DecodePieces | null | def DecodePieces(self, input, out_type=str, **kwargs):
return self.Decode(input=input, out_type=out_type, **kwargs)
| (self, input, out_type=<class 'str'>, **kwargs) | [
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8,941 | sentencepiece | DecodePiecesAsImmutableProto | null | def DecodePiecesAsImmutableProto(self, input, out_type='immutable_proto', **kwargs):
return self.Decode(input=input, out_type=out_type, **kwargs)
| (self, input, out_type='immutable_proto', **kwargs) | [
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8,942 | sentencepiece | DecodePiecesAsSerializedProto | null | def DecodePiecesAsSerializedProto(self, input, out_type='serialized_proto', **kwargs):
return self.Decode(input=input, out_type=out_type, **kwargs)
| (self, input, out_type='serialized_proto', **kwargs) | [
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] |
8,944 | sentencepiece | Encode | Encode text input to segmented ids or tokens.
Args:
input: input string. accepsts list of string.
out_type: output type. int or str.
add_bos: Add <s> to the result (Default = false)
add_eos: Add </s> to the result (Default = false) <s>/</s> is added after
reversing (if enabled).
reverse: Reverses the tokenized sequence (Default = false)
emit_unk_piece: Emits the unk literal string (Default = false)
nbest_size: sampling parameters for unigram. Invalid in BPE-Dropout.
nbest_size = {0,1}: No sampling is performed.
nbest_size > 1: samples from the nbest_size results.
nbest_size < 0: assuming that nbest_size is infinite and samples
from the all hypothesis (lattice) using
forward-filtering-and-backward-sampling algorithm.
alpha: Soothing parameter for unigram sampling, and merge probability for
BPE-dropout (probablity 'p' in BPE-dropout paper).
num_threads: the number of threads used in the batch processing (Default = -1).
| def Encode(self,
input,
out_type=None,
add_bos=None,
add_eos=None,
reverse=None,
emit_unk_piece=None,
enable_sampling=None,
nbest_size=None,
alpha=None,
num_threads=None):
"""Encode text input to segmented ids or tokens.
Args:
input: input string. accepsts list of string.
out_type: output type. int or str.
add_bos: Add <s> to the result (Default = false)
add_eos: Add </s> to the result (Default = false) <s>/</s> is added after
reversing (if enabled).
reverse: Reverses the tokenized sequence (Default = false)
emit_unk_piece: Emits the unk literal string (Default = false)
nbest_size: sampling parameters for unigram. Invalid in BPE-Dropout.
nbest_size = {0,1}: No sampling is performed.
nbest_size > 1: samples from the nbest_size results.
nbest_size < 0: assuming that nbest_size is infinite and samples
from the all hypothesis (lattice) using
forward-filtering-and-backward-sampling algorithm.
alpha: Soothing parameter for unigram sampling, and merge probability for
BPE-dropout (probablity 'p' in BPE-dropout paper).
num_threads: the number of threads used in the batch processing (Default = -1).
"""
if out_type is None:
out_type = self._out_type
if add_bos is None:
add_bos = self._add_bos
if add_eos is None:
add_eos = self._add_eos
if reverse is None:
reverse = self._reverse
if emit_unk_piece is None:
emit_unk_piece = self._emit_unk_piece
if enable_sampling is None:
enable_sampling = self._enable_sampling
if nbest_size is None:
nbest_size = self._nbest_size
if alpha is None:
alpha = self._alpha
if num_threads is None:
num_threads = self._num_threads
if enable_sampling == True and (nbest_size is None or nbest_size == 0 or
nbest_size == 1 or alpha is None):
raise RuntimeError(
'When enable_sampling is True, We must specify "nbest_size > 1" or "nbest_size = -1", '
'and "alpha". "nbest_size" is enabled only on unigram mode ignored in BPE-dropout. '
'when "nbest_size = -1" , this method samples from all candidates on the lattice '
'instead of nbest segmentations.'
)
if num_threads is None or type(num_threads) is not int:
raise RuntimeError('num_threads must be int')
if type(input) is list:
if out_type is int:
return self._EncodeAsIdsBatch(input, num_threads, enable_sampling, nbest_size,
alpha, add_bos, add_eos, reverse, emit_unk_piece)
if out_type is str:
return self._EncodeAsPiecesBatch(input, num_threads, enable_sampling, nbest_size,
alpha, add_bos, add_eos, reverse, emit_unk_piece)
if out_type == 'serialized_proto' or out_type == 'proto':
return self._EncodeAsSerializedProtoBatch(input, num_threads, enable_sampling, nbest_size,
alpha, add_bos, add_eos, reverse, emit_unk_piece)
if out_type == 'immutable_proto':
return self._EncodeAsImmutableProtoBatch(input, num_threads, enable_sampling, nbest_size,
alpha, add_bos, add_eos, reverse, emit_unk_piece)
if out_type is int:
return self._EncodeAsIds(input, enable_sampling, nbest_size,
alpha, add_bos, add_eos, reverse, emit_unk_piece)
if out_type is str:
return self._EncodeAsPieces(input, enable_sampling, nbest_size,
alpha, add_bos, add_eos, reverse, emit_unk_piece)
if out_type == 'serialized_proto' or out_type == 'proto':
return self._EncodeAsSerializedProto(input, enable_sampling, nbest_size,
alpha, add_bos, add_eos, reverse, emit_unk_piece)
if out_type == 'immutable_proto':
return self._EncodeAsImmutableProto(input, enable_sampling, nbest_size,
alpha, add_bos, add_eos, reverse, emit_unk_piece)
raise RuntimeError('unknown out_type={}'.format(out_type))
return None
| (self, input, out_type=None, add_bos=None, add_eos=None, reverse=None, emit_unk_piece=None, enable_sampling=None, nbest_size=None, alpha=None, num_threads=None) | [
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8,945 | sentencepiece | EncodeAsIds | null | def EncodeAsIds(self, input, **kwargs):
return self.Encode(input=input, out_type=int, **kwargs)
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8,946 | sentencepiece | EncodeAsImmutableProto | null | def EncodeAsImmutableProto(self, input, **kwargs):
return self.Encode(input=input, out_type='immutable_proto', **kwargs)
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8,947 | sentencepiece | EncodeAsPieces | null | def EncodeAsPieces(self, input, **kwargs):
return self.Encode(input=input, out_type=str, **kwargs)
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8,948 | sentencepiece | EncodeAsSerializedProto | null | def EncodeAsSerializedProto(self, input, **kwargs):
return self.Encode(input=input, out_type='serialized_proto', **kwargs)
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8,949 | sentencepiece | GetPieceSize | null | def GetPieceSize(self):
return _sentencepiece.SentencePieceProcessor_GetPieceSize(self)
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8,950 | sentencepiece | _batched_func | null | def _batchnize(classname, name):
"""Enables batch request for the method classname.name."""
func = getattr(classname, name, None)
def _func(v, n):
if type(n) is int and (n < 0 or n >= v.piece_size()):
raise IndexError('piece id is out of range.')
return func(v, n)
def _batched_func(self, arg):
if type(arg) is list:
return [_func(self, n) for n in arg]
else:
return _func(self, arg)
setattr(classname, name, _batched_func)
| (self, arg) | [
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8,952 | sentencepiece | Init | Initialzie sentencepieceProcessor.
Args:
model_file: The sentencepiece model file path.
model_proto: The sentencepiece model serialized proto.
out_type: output type. int or str.
add_bos: Add <s> to the result (Default = false)
add_eos: Add </s> to the result (Default = false) <s>/</s> is added after
reversing (if enabled).
reverse: Reverses the tokenized sequence (Default = false)
emit_unk_piece: Emits the unk literal string (Default = false)
nbest_size: sampling parameters for unigram. Invalid in BPE-Dropout.
nbest_size = {0,1}: No sampling is performed.
nbest_size > 1: samples from the nbest_size results.
nbest_size < 0: assuming that nbest_size is infinite and samples
from the all hypothesis (lattice) using
forward-filtering-and-backward-sampling algorithm.
alpha: Soothing parameter for unigram sampling, and dropout probability of
merge operations for BPE-dropout.
num_threads: number of threads in batch processing (Default = -1, auto-detected)
| def Init(self,
model_file=None,
model_proto=None,
out_type=int,
add_bos=False,
add_eos=False,
reverse=False,
emit_unk_piece=False,
enable_sampling=False,
nbest_size=-1,
alpha=0.1,
num_threads=-1):
"""Initialzie sentencepieceProcessor.
Args:
model_file: The sentencepiece model file path.
model_proto: The sentencepiece model serialized proto.
out_type: output type. int or str.
add_bos: Add <s> to the result (Default = false)
add_eos: Add </s> to the result (Default = false) <s>/</s> is added after
reversing (if enabled).
reverse: Reverses the tokenized sequence (Default = false)
emit_unk_piece: Emits the unk literal string (Default = false)
nbest_size: sampling parameters for unigram. Invalid in BPE-Dropout.
nbest_size = {0,1}: No sampling is performed.
nbest_size > 1: samples from the nbest_size results.
nbest_size < 0: assuming that nbest_size is infinite and samples
from the all hypothesis (lattice) using
forward-filtering-and-backward-sampling algorithm.
alpha: Soothing parameter for unigram sampling, and dropout probability of
merge operations for BPE-dropout.
num_threads: number of threads in batch processing (Default = -1, auto-detected)
"""
_sentencepiece_processor_init_native(self)
self._out_type = out_type
self._add_bos = add_bos
self._add_eos = add_eos
self._reverse = reverse
self._emit_unk_piece = emit_unk_piece
self._enable_sampling = enable_sampling
self._nbest_size = nbest_size
self._alpha = alpha
self._num_threads = num_threads
if model_file or model_proto:
self.Load(model_file=model_file, model_proto=model_proto)
| (self, model_file=None, model_proto=None, out_type=<class 'int'>, add_bos=False, add_eos=False, reverse=False, emit_unk_piece=False, enable_sampling=False, nbest_size=-1, alpha=0.1, num_threads=-1) | [
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] |
8,957 | sentencepiece | Load | Overwride SentencePieceProcessor.Load to support both model_file and model_proto.
Args:
model_file: The sentencepiece model file path.
model_proto: The sentencepiece model serialized proto. Either `model_file`
or `model_proto` must be set.
| def Load(self, model_file=None, model_proto=None):
"""Overwride SentencePieceProcessor.Load to support both model_file and model_proto.
Args:
model_file: The sentencepiece model file path.
model_proto: The sentencepiece model serialized proto. Either `model_file`
or `model_proto` must be set.
"""
if model_file and model_proto:
raise RuntimeError('model_file and model_proto must be exclusive.')
if model_proto:
return self.LoadFromSerializedProto(model_proto)
return self.LoadFromFile(model_file)
| (self, model_file=None, model_proto=None) | [
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8,958 | sentencepiece | LoadFromFile | null | def LoadFromFile(self, arg):
return _sentencepiece.SentencePieceProcessor_LoadFromFile(self, arg)
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8,959 | sentencepiece | LoadFromSerializedProto | null | def LoadFromSerializedProto(self, serialized):
return _sentencepiece.SentencePieceProcessor_LoadFromSerializedProto(self, serialized)
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8,960 | sentencepiece | LoadVocabulary | null | def LoadVocabulary(self, filename, threshold):
return _sentencepiece.SentencePieceProcessor_LoadVocabulary(self, filename, threshold)
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] |
8,961 | sentencepiece | NBestEncode | NBestEncode text input to segmented ids or tokens.
Args:
input: input string. accepsts list of string.
out_type: output type. int or str.
add_bos: Add <s> to the result (Default = false)
add_eos: Add </s> to the result (Default = false) <s>/</s> is added after reversing (if enabled).
reverse: Reverses the tokenized sequence (Default = false)
emit_unk_piece: Emits the unk literal string (Default = false)
nbest_size: nbest size
| def NBestEncode(self,
input,
out_type=None,
add_bos=None,
add_eos=None,
reverse=None,
emit_unk_piece=None,
nbest_size=None):
"""NBestEncode text input to segmented ids or tokens.
Args:
input: input string. accepsts list of string.
out_type: output type. int or str.
add_bos: Add <s> to the result (Default = false)
add_eos: Add </s> to the result (Default = false) <s>/</s> is added after reversing (if enabled).
reverse: Reverses the tokenized sequence (Default = false)
emit_unk_piece: Emits the unk literal string (Default = false)
nbest_size: nbest size
"""
if out_type is None:
out_type = self._out_type
if add_bos is None:
add_bos = self._add_bos
if add_eos is None:
add_eos = self._add_eos
if reverse is None:
reverse = self._reverse
if emit_unk_piece is None:
emit_unk_piece = self._emit_unk_piece
if nbest_size is None:
nbest_size = self._nbest_size
if nbest_size <= 0:
nbest_size=1
def _encode(text):
if out_type is int:
return self._NBestEncodeAsIds(text, nbest_size,
add_bos, add_eos, reverse, emit_unk_piece)
if out_type is str:
return self._NBestEncodeAsPieces(text, nbest_size,
add_bos, add_eos, reverse, emit_unk_piece)
if out_type == 'serialized_proto' or out_type == 'proto':
return self._NBestEncodeAsSerializedProto(text, nbest_size,
add_bos, add_eos, reverse, emit_unk_piece)
if out_type == 'immutable_proto':
return self._NBestEncodeAsImmutableProto(text, nbest_size,
add_bos, add_eos, reverse, emit_unk_piece)
raise RuntimeError('unknown out_type')
if type(input) is list:
return [_encode(n) for n in input]
return _encode(input)
| (self, input, out_type=None, add_bos=None, add_eos=None, reverse=None, emit_unk_piece=None, nbest_size=None) | [
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8,962 | sentencepiece | NBestEncodeAsIds | null | def NBestEncodeAsIds(self, input, nbest_size=None, **kwargs):
return self.NBestEncode(input=input, nbest_size=nbest_size,
out_type=int, **kwargs)
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8,963 | sentencepiece | NBestEncodeAsImmutableProto | null | def NBestEncodeAsImmutableProto(self, input, nbest_size=None, **kwargs):
return self.NBestEncode(input=input, nbest_size=nbest_size,
out_type='immutable_proto', **kwargs)
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8,964 | sentencepiece | NBestEncodeAsPieces | null | def NBestEncodeAsPieces(self, input, nbest_size=None, **kwargs):
return self.NBestEncode(input=input, nbest_size=nbest_size,
out_type=str, **kwargs)
| (self, input, nbest_size=None, **kwargs) | [
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8,965 | sentencepiece | NBestEncodeAsSerializedProto | null | def NBestEncodeAsSerializedProto(self, input, nbest_size=None, **kwargs):
return self.NBestEncode(input=input, nbest_size=nbest_size,
out_type='serialized_proto', **kwargs)
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8,967 | sentencepiece | OverrideNormalizerSpec | null | def OverrideNormalizerSpec(self, **kwargs):
new_kwargs = {}
for key, value in kwargs.items():
new_kwargs[key] = str(value)
return self._OverrideNormalizerSpec(new_kwargs)
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8,969 | sentencepiece | ResetVocabulary | null | def ResetVocabulary(self):
return _sentencepiece.SentencePieceProcessor_ResetVocabulary(self)
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] |
8,970 | sentencepiece | SampleEncodeAndScore | SampleEncodeAndScore text input to segmented ids or tokens.
Args:
input: input string. accepsts list of string.
out_type: output type. int or str or 'serialized_proto' or 'immutable_proto'
add_bos: Add <s> to the result (Default = false)
add_eos: Add </s> to the result (Default = false) <s>/</s> is added after reversing (if enabled).
reverse: Reverses the tokenized sequence (Default = false)
emit_unk_piece: Emits the unk literal string (Default = false)
num_samples: How many samples to return (Default = 1)
alpha: inverse temperature for sampling
wor: whether to sample without replacement (Default = false)
include_best: whether to include the best tokenization, requires wor=True (Default = false)
| def SampleEncodeAndScore(self,
input,
out_type=None,
add_bos=None,
add_eos=None,
reverse=None,
emit_unk_piece=None,
num_samples=None,
alpha=None,
wor=None,
include_best=None):
"""SampleEncodeAndScore text input to segmented ids or tokens.
Args:
input: input string. accepsts list of string.
out_type: output type. int or str or 'serialized_proto' or 'immutable_proto'
add_bos: Add <s> to the result (Default = false)
add_eos: Add </s> to the result (Default = false) <s>/</s> is added after reversing (if enabled).
reverse: Reverses the tokenized sequence (Default = false)
emit_unk_piece: Emits the unk literal string (Default = false)
num_samples: How many samples to return (Default = 1)
alpha: inverse temperature for sampling
wor: whether to sample without replacement (Default = false)
include_best: whether to include the best tokenization, requires wor=True (Default = false)
"""
if out_type is None:
out_type = self._out_type
if add_bos is None:
add_bos = self._add_bos
if add_eos is None:
add_eos = self._add_eos
if reverse is None:
reverse = self._reverse
if emit_unk_piece is None:
emit_unk_piece = self._emit_unk_piece
if num_samples is None:
num_samples = 1
if alpha is None:
alpha = 1.
if wor is None:
wor = False
if include_best is None:
include_best = False
if num_samples <= 0:
raise RuntimeError('num_examples must be positive')
if include_best and not wor:
raise RuntimeError('When include_best is True, We must specify "wor = True".')
def _encode(text):
if out_type is int:
return self._SampleEncodeAndScoreAsIds(text, num_samples, alpha, wor, include_best,
add_bos, add_eos, reverse, emit_unk_piece)
if out_type is str:
return self._SampleEncodeAndScoreAsPieces(text, num_samples, alpha, wor, include_best,
add_bos, add_eos, reverse, emit_unk_piece)
if out_type == 'serialized_proto' or out_type == 'proto':
return self._SampleEncodeAndScoreAsSerializedProto(text, num_samples, alpha, wor, include_best,
add_bos, add_eos, reverse, emit_unk_piece)
if out_type == 'immutable_proto':
return self._SampleEncodeAndScoreAsImmutableProto(text, num_samples, alpha, wor, include_best,
add_bos, add_eos, reverse, emit_unk_piece)
raise RuntimeError('unknown output type')
if type(input) is list:
return [_encode(n) for n in input]
return _encode(input)
| (self, input, out_type=None, add_bos=None, add_eos=None, reverse=None, emit_unk_piece=None, num_samples=None, alpha=None, wor=None, include_best=None) | [
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8,971 | sentencepiece | SampleEncodeAndScoreAsIds | null | def SampleEncodeAndScoreAsIds(self, input, num_samples=None, alpha=None, **kwargs):
return self.SampleEncodeAndScore(input=input, num_samples=num_samples, alpha=alpha,
out_type=int, **kwargs)
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8,972 | sentencepiece | SampleEncodeAndScoreAsImmutableProto | null | def SampleEncodeAndScoreAsImmutableProto(self, input, num_samples=None, alpha=None, **kwargs):
return self.SampleEncodeAndScore(input=input, num_samples=num_samples, alpha=alpha,
out_type='immutable_proto', **kwargs)
| (self, input, num_samples=None, alpha=None, **kwargs) | [
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8,973 | sentencepiece | SampleEncodeAndScoreAsPieces | null | def SampleEncodeAndScoreAsPieces(self, input, num_samples=None, alpha=None, **kwargs):
return self.SampleEncodeAndScore(input=input, num_samples=num_samples, alpha=alpha,
out_type=str, **kwargs)
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8,974 | sentencepiece | SampleEncodeAndScoreAsSerializedProto | null | def SampleEncodeAndScoreAsSerializedProto(self, input, num_samples=None, alpha=None, **kwargs):
return self.SampleEncodeAndScore(input=input, num_samples=num_samples, alpha=alpha,
out_type='serialized_proto', **kwargs)
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8,975 | sentencepiece | SampleEncodeAsIds | null | def SampleEncodeAsIds(self, input, nbest_size=None, alpha=None,**kwargs):
return self.Encode(input=input, nbest_size=nbest_size, alpha=alpha,
out_type=int, enable_sampling=True, **kwargs)
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8,976 | sentencepiece | SampleEncodeAsImmutableProto | null | def SampleEncodeAsImmutableProto(self, input, nbest_size=None, alpha=None, **kwargs):
return self.Encode(input=input, nbest_size=nbest_size, alpha=alpha,
out_type='immutable_proto', enable_sampling=True, **kwargs)
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0.009072946384549141,
-0.0070271678268909454,
-0.02544749528169632
] |
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