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int64 0
731k
| package
stringlengths 2
98
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stringlengths 1
76
| docstring
stringlengths 0
281k
⌀ | code
stringlengths 4
8.19k
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⌀ | embed_func_code
sequencelengths 768
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11,653 | rarfile | __init__ | null | def __init__(self, name, encdata):
self.std_name = bytearray(name)
self.encdata = bytearray(encdata)
self.pos = self.encpos = 0
self.buf = bytearray()
self.failed = 0
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] |
11,654 | rarfile | decode | Decompress compressed UTF16 value. | def decode(self):
"""Decompress compressed UTF16 value."""
hi = self.enc_byte()
flagbits = 0
while self.encpos < len(self.encdata):
if flagbits == 0:
flags = self.enc_byte()
flagbits = 8
flagbits -= 2
t = (flags >> flagbits) & 3
if t == 0:
self.put(self.enc_byte(), 0)
elif t == 1:
self.put(self.enc_byte(), hi)
elif t == 2:
self.put(self.enc_byte(), self.enc_byte())
else:
n = self.enc_byte()
if n & 0x80:
c = self.enc_byte()
for _ in range((n & 0x7f) + 2):
lo = (self.std_byte() + c) & 0xFF
self.put(lo, hi)
else:
for _ in range(n + 2):
self.put(self.std_byte(), 0)
return self.buf.decode("utf-16le", "replace")
| (self) | [
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11,655 | rarfile | enc_byte | Copy encoded byte. | def enc_byte(self):
"""Copy encoded byte."""
try:
c = self.encdata[self.encpos]
self.encpos += 1
return c
except IndexError:
self.failed = 1
return 0
| (self) | [
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11,656 | rarfile | put | Copy 16-bit value to result. | def put(self, lo, hi):
"""Copy 16-bit value to result."""
self.buf.append(lo)
self.buf.append(hi)
self.pos += 1
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11,657 | rarfile | std_byte | Copy byte from 8-bit representation. | def std_byte(self):
"""Copy byte from 8-bit representation."""
try:
return self.std_name[self.pos]
except IndexError:
self.failed = 1
return ord("?")
| (self) | [
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11,658 | rarfile | UnsupportedWarning | Archive uses feature that are unsupported by rarfile.
.. versionadded:: 4.0
| class UnsupportedWarning(UserWarning):
"""Archive uses feature that are unsupported by rarfile.
.. versionadded:: 4.0
"""
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] |
11,659 | rarfile | XFile | Input may be filename or file object.
| class XFile:
"""Input may be filename or file object.
"""
__slots__ = ("_fd", "_need_close")
def __init__(self, xfile, bufsize=1024):
if is_filelike(xfile):
self._need_close = False
self._fd = xfile
self._fd.seek(0)
else:
self._need_close = True
self._fd = open(xfile, "rb", bufsize)
def read(self, n=None):
"""Read from file."""
return self._fd.read(n)
def tell(self):
"""Return file pos."""
return self._fd.tell()
def seek(self, ofs, whence=0):
"""Move file pos."""
return self._fd.seek(ofs, whence)
def readinto(self, buf):
"""Read into buffer."""
return self._fd.readinto(buf)
def close(self):
"""Close file object."""
if self._need_close:
self._fd.close()
def __enter__(self):
return self
def __exit__(self, typ, val, tb):
self.close()
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11,661 | rarfile | __exit__ | null | def __exit__(self, typ, val, tb):
self.close()
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11,662 | rarfile | __init__ | null | def __init__(self, xfile, bufsize=1024):
if is_filelike(xfile):
self._need_close = False
self._fd = xfile
self._fd.seek(0)
else:
self._need_close = True
self._fd = open(xfile, "rb", bufsize)
| (self, xfile, bufsize=1024) | [
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11,663 | rarfile | close | Close file object. | def close(self):
"""Close file object."""
if self._need_close:
self._fd.close()
| (self) | [
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11,664 | rarfile | read | Read from file. | def read(self, n=None):
"""Read from file."""
return self._fd.read(n)
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11,665 | rarfile | readinto | Read into buffer. | def readinto(self, buf):
"""Read into buffer."""
return self._fd.readinto(buf)
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11,666 | rarfile | seek | Move file pos. | def seek(self, ofs, whence=0):
"""Move file pos."""
return self._fd.seek(ofs, whence)
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] |
11,667 | rarfile | tell | Return file pos. | def tell(self):
"""Return file pos."""
return self._fd.tell()
| (self) | [
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11,668 | rarfile | _find_sfx_header | null | def _find_sfx_header(xfile):
sig = RAR_ID[:-1]
buf = io.BytesIO()
steps = (64, SFX_MAX_SIZE)
with XFile(xfile) as fd:
for step in steps:
data = fd.read(step)
if not data:
break
buf.write(data)
curdata = buf.getvalue()
findpos = 0
while True:
pos = curdata.find(sig, findpos)
if pos < 0:
break
if curdata[pos:pos + len(RAR_ID)] == RAR_ID:
return RAR_V3, pos
if curdata[pos:pos + len(RAR5_ID)] == RAR5_ID:
return RAR_V5, pos
findpos = pos + len(sig)
return 0, 0
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] |
11,669 | rarfile | _inc_volname | increase digits with carry, otherwise just increment char
| def _inc_volname(volfile, i, inc_chars):
"""increase digits with carry, otherwise just increment char
"""
fn = list(volfile)
while i >= 0:
if fn[i] == "9":
fn[i] = "0"
i -= 1
if i < 0:
fn.insert(0, "1")
elif "0" <= fn[i] < "9" or inc_chars:
fn[i] = chr(ord(fn[i]) + 1)
break
else:
fn.insert(i + 1, "1")
break
return "".join(fn)
| (volfile, i, inc_chars) | [
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11,670 | rarfile | _next_newvol | New-style next volume
| def _next_newvol(volfile):
"""New-style next volume
"""
name, ext = os.path.splitext(volfile)
if ext.lower() in ("", ".exe", ".sfx"):
volfile = name + ".rar"
i = len(volfile) - 1
while i >= 0:
if "0" <= volfile[i] <= "9":
return _inc_volname(volfile, i, False)
if volfile[i] in ("/", os.sep):
break
i -= 1
raise BadRarName("Cannot construct volume name: " + volfile)
| (volfile) | [
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11,671 | rarfile | _next_oldvol | Old-style next volume
| def _next_oldvol(volfile):
"""Old-style next volume
"""
name, ext = os.path.splitext(volfile)
if ext.lower() in ("", ".exe", ".sfx"):
ext = ".rar"
sfx = ext[2:]
if _rc_num.match(sfx):
ext = _inc_volname(ext, len(ext) - 1, True)
else:
# .rar -> .r00
ext = ext[:2] + "00"
return name + ext
| (volfile) | [
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] |
11,672 | rarfile | _parse_ext_time | Parse all RAR3 extended time fields
| def _parse_ext_time(h, data, pos):
"""Parse all RAR3 extended time fields
"""
# flags and rest of data can be missing
flags = 0
if pos + 2 <= len(data):
flags = S_SHORT.unpack_from(data, pos)[0]
pos += 2
mtime, pos = _parse_xtime(flags >> 3 * 4, data, pos, h.mtime)
h.ctime, pos = _parse_xtime(flags >> 2 * 4, data, pos)
h.atime, pos = _parse_xtime(flags >> 1 * 4, data, pos)
h.arctime, pos = _parse_xtime(flags >> 0 * 4, data, pos)
if mtime:
h.mtime = mtime
h.date_time = mtime.timetuple()[:6]
return pos
| (h, data, pos) | [
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] |
11,673 | rarfile | _parse_xtime | Parse one RAR3 extended time field
| def _parse_xtime(flag, data, pos, basetime=None):
"""Parse one RAR3 extended time field
"""
res = None
if flag & 8:
if not basetime:
basetime, pos = load_dostime(data, pos)
# load second fractions of 100ns units
rem = 0
cnt = flag & 3
for _ in range(cnt):
b, pos = load_byte(data, pos)
rem = (b << 16) | (rem >> 8)
# dostime has room for 30 seconds only, correct if needed
if flag & 4 and basetime.second < 59:
basetime = basetime.replace(second=basetime.second + 1)
res = to_nsdatetime(basetime, rem * 100)
return res, pos
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11,674 | _blake2 | blake2s | Return a new BLAKE2s hash object. | from _blake2 import blake2s
| (data=b'', /, *, digest_size=32, key=b'', salt=b'', person=b'', fanout=1, depth=1, leaf_size=0, node_offset=0, node_depth=0, inner_size=0, last_node=False, usedforsecurity=True) | [
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] |
11,675 | rarfile | check_returncode | Raise exception according to unrar exit code.
| def check_returncode(code, out, errmap):
"""Raise exception according to unrar exit code.
"""
if code == 0:
return
if code > 0 and code < len(errmap):
exc = errmap[code]
elif code == 255:
exc = RarUserBreak
elif code < 0:
exc = RarSignalExit
else:
exc = RarUnknownError
# format message
if out:
msg = "%s [%d]: %s" % (exc.__doc__, code, out)
else:
msg = "%s [%d]" % (exc.__doc__, code)
raise exc(msg)
| (code, out, errmap) | [
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] |
11,676 | rarfile | custom_popen | Disconnect cmd from parent fds, read only from stdout.
| def custom_popen(cmd):
"""Disconnect cmd from parent fds, read only from stdout.
"""
creationflags = 0x08000000 if WIN32 else 0 # CREATE_NO_WINDOW
try:
p = Popen(cmd, bufsize=0, stdout=PIPE, stderr=STDOUT, stdin=DEVNULL,
creationflags=creationflags)
except OSError as ex:
if ex.errno == errno.ENOENT:
raise RarCannotExec("Unrar not installed?") from None
if ex.errno == errno.EACCES or ex.errno == errno.EPERM:
raise RarCannotExec("Cannot execute unrar") from None
raise
return p
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] |
11,678 | rarfile | empty_read | Read and drop fixed amount of data.
| def empty_read(src, size, blklen):
"""Read and drop fixed amount of data.
"""
while size > 0:
if size > blklen:
res = src.read(blklen)
else:
res = src.read(size)
if not res:
raise BadRarFile("cannot load data")
size -= len(res)
| (src, size, blklen) | [
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] |
11,680 | rarfile | get_rar_version | Check quickly whether file is rar archive.
| def get_rar_version(xfile):
"""Check quickly whether file is rar archive.
"""
with XFile(xfile) as fd:
buf = fd.read(len(RAR5_ID))
if buf.startswith(RAR_ID):
return RAR_V3
elif buf.startswith(RAR5_ID):
return RAR_V5
return 0
| (xfile) | [
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] |
11,682 | rarfile | is_filelike | Filename or file object?
| def is_filelike(obj):
"""Filename or file object?
"""
if isinstance(obj, (bytes, str, Path)):
return False
res = True
for a in ("read", "tell", "seek"):
res = res and hasattr(obj, a)
if not res:
raise ValueError("Invalid object passed as file")
return True
| (obj) | [
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] |
11,683 | rarfile | is_rarfile | Check quickly whether file is rar archive.
| def is_rarfile(xfile):
"""Check quickly whether file is rar archive.
"""
try:
return get_rar_version(xfile) > 0
except OSError:
# File not found or not accessible, ignore
return False
| (xfile) | [
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11,684 | rarfile | is_rarfile_sfx | Check whether file is rar archive with support for SFX.
It will read 2M from file.
| def is_rarfile_sfx(xfile):
"""Check whether file is rar archive with support for SFX.
It will read 2M from file.
"""
return _find_sfx_header(xfile)[0] > 0
| (xfile) | [
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11,685 | rarfile | load_byte | Load single byte | def load_byte(buf, pos):
"""Load single byte"""
end = pos + 1
if end > len(buf):
raise BadRarFile("cannot load byte")
return S_BYTE.unpack_from(buf, pos)[0], end
| (buf, pos) | [
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11,686 | rarfile | load_bytes | Load sequence of bytes | def load_bytes(buf, num, pos):
"""Load sequence of bytes"""
end = pos + num
if end > len(buf):
raise BadRarFile("cannot load bytes")
return buf[pos: end], end
| (buf, num, pos) | [
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11,687 | rarfile | load_dostime | Load LE32 dos timestamp | def load_dostime(buf, pos):
"""Load LE32 dos timestamp"""
stamp, pos = load_le32(buf, pos)
tup = parse_dos_time(stamp)
return to_datetime(tup), pos
| (buf, pos) | [
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11,688 | rarfile | load_le32 | Load little-endian 32-bit integer | def load_le32(buf, pos):
"""Load little-endian 32-bit integer"""
end = pos + 4
if end > len(buf):
raise BadRarFile("cannot load le32")
return S_LONG.unpack_from(buf, pos)[0], end
| (buf, pos) | [
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11,689 | rarfile | load_unixtime | Load LE32 unix timestamp | def load_unixtime(buf, pos):
"""Load LE32 unix timestamp"""
secs, pos = load_le32(buf, pos)
dt = datetime.fromtimestamp(secs, timezone.utc)
return dt, pos
| (buf, pos) | [
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11,690 | rarfile | load_vint | Load RAR5 variable-size int. | def load_vint(buf, pos):
"""Load RAR5 variable-size int."""
limit = min(pos + 11, len(buf))
res = ofs = 0
while pos < limit:
b = buf[pos]
res += ((b & 0x7F) << ofs)
pos += 1
ofs += 7
if b < 0x80:
return res, pos
raise BadRarFile("cannot load vint")
| (buf, pos) | [
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11,691 | rarfile | load_vstr | Load bytes prefixed by vint length | def load_vstr(buf, pos):
"""Load bytes prefixed by vint length"""
slen, pos = load_vint(buf, pos)
return load_bytes(buf, slen, pos)
| (buf, pos) | [
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11,692 | rarfile | load_windowstime | Load LE64 windows timestamp | def load_windowstime(buf, pos):
"""Load LE64 windows timestamp"""
# unix epoch (1970) in seconds from windows epoch (1601)
unix_epoch = 11644473600
val1, pos = load_le32(buf, pos)
val2, pos = load_le32(buf, pos)
secs, n1secs = divmod((val2 << 32) | val1, 10000000)
dt = datetime.fromtimestamp(secs - unix_epoch, timezone.utc)
dt = to_nsdatetime(dt, n1secs * 100)
return dt, pos
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] |
11,693 | rarfile | main | Minimal command-line interface for rarfile module.
| def main(args):
"""Minimal command-line interface for rarfile module.
"""
import argparse
p = argparse.ArgumentParser(description=main.__doc__)
g = p.add_mutually_exclusive_group(required=True)
g.add_argument("-l", "--list", metavar="<rarfile>",
help="Show archive listing")
g.add_argument("-e", "--extract", nargs=2,
metavar=("<rarfile>", "<output_dir>"),
help="Extract archive into target dir")
g.add_argument("-t", "--test", metavar="<rarfile>",
help="Test if a archive is valid")
cmd = p.parse_args(args)
if cmd.list:
with RarFile(cmd.list) as rf:
rf.printdir()
elif cmd.test:
with RarFile(cmd.test) as rf:
rf.testrar()
elif cmd.extract:
with RarFile(cmd.extract[0]) as rf:
rf.extractall(cmd.extract[1])
| (args) | [
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] |
11,694 | rarfile | membuf_tempfile | Write in-memory file object to real file.
| def membuf_tempfile(memfile):
"""Write in-memory file object to real file.
"""
memfile.seek(0, 0)
tmpfd, tmpname = mkstemp(suffix=".rar", dir=HACK_TMP_DIR)
tmpf = os.fdopen(tmpfd, "wb")
try:
shutil.copyfileobj(memfile, tmpf, BSIZE)
tmpf.close()
except BaseException:
tmpf.close()
os.unlink(tmpname)
raise
return tmpname
| (memfile) | [
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] |
11,695 | tempfile | mkstemp | User-callable function to create and return a unique temporary
file. The return value is a pair (fd, name) where fd is the
file descriptor returned by os.open, and name is the filename.
If 'suffix' is not None, the file name will end with that suffix,
otherwise there will be no suffix.
If 'prefix' is not None, the file name will begin with that prefix,
otherwise a default prefix is used.
If 'dir' is not None, the file will be created in that directory,
otherwise a default directory is used.
If 'text' is specified and true, the file is opened in text
mode. Else (the default) the file is opened in binary mode.
If any of 'suffix', 'prefix' and 'dir' are not None, they must be the
same type. If they are bytes, the returned name will be bytes; str
otherwise.
The file is readable and writable only by the creating user ID.
If the operating system uses permission bits to indicate whether a
file is executable, the file is executable by no one. The file
descriptor is not inherited by children of this process.
Caller is responsible for deleting the file when done with it.
| def mkstemp(suffix=None, prefix=None, dir=None, text=False):
"""User-callable function to create and return a unique temporary
file. The return value is a pair (fd, name) where fd is the
file descriptor returned by os.open, and name is the filename.
If 'suffix' is not None, the file name will end with that suffix,
otherwise there will be no suffix.
If 'prefix' is not None, the file name will begin with that prefix,
otherwise a default prefix is used.
If 'dir' is not None, the file will be created in that directory,
otherwise a default directory is used.
If 'text' is specified and true, the file is opened in text
mode. Else (the default) the file is opened in binary mode.
If any of 'suffix', 'prefix' and 'dir' are not None, they must be the
same type. If they are bytes, the returned name will be bytes; str
otherwise.
The file is readable and writable only by the creating user ID.
If the operating system uses permission bits to indicate whether a
file is executable, the file is executable by no one. The file
descriptor is not inherited by children of this process.
Caller is responsible for deleting the file when done with it.
"""
prefix, suffix, dir, output_type = _sanitize_params(prefix, suffix, dir)
if text:
flags = _text_openflags
else:
flags = _bin_openflags
return _mkstemp_inner(dir, prefix, suffix, flags, output_type)
| (suffix=None, prefix=None, dir=None, text=False) | [
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] |
11,696 | rarfile | nsdatetime | Datetime that carries nanoseconds.
Arithmetic operations will lose nanoseconds.
.. versionadded:: 4.0
| class nsdatetime(datetime):
"""Datetime that carries nanoseconds.
Arithmetic operations will lose nanoseconds.
.. versionadded:: 4.0
"""
__slots__ = ("nanosecond",)
nanosecond: int #: Number of nanoseconds, 0 <= nanosecond <= 999999999
def __new__(cls, year, month=None, day=None, hour=0, minute=0, second=0,
microsecond=0, tzinfo=None, *, fold=0, nanosecond=0):
usec, mod = divmod(nanosecond, 1000) if nanosecond else (microsecond, 0)
if mod == 0:
return datetime(year, month, day, hour, minute, second, usec, tzinfo, fold=fold)
self = super().__new__(cls, year, month, day, hour, minute, second, usec, tzinfo, fold=fold)
self.nanosecond = nanosecond
return self
def isoformat(self, sep="T", timespec="auto"):
"""Formats with nanosecond precision by default.
"""
if timespec == "auto":
pre, post = super().isoformat(sep, "microseconds").split(".", 1)
return f"{pre}.{self.nanosecond:09d}{post[6:]}"
return super().isoformat(sep, timespec)
def astimezone(self, tz=None):
"""Convert to new timezone.
"""
tmp = super().astimezone(tz)
return self.__class__(tmp.year, tmp.month, tmp.day, tmp.hour, tmp.minute, tmp.second,
nanosecond=self.nanosecond, tzinfo=tmp.tzinfo, fold=tmp.fold)
def replace(self, year=None, month=None, day=None, hour=None, minute=None, second=None,
microsecond=None, tzinfo=None, *, fold=None, nanosecond=None):
"""Return new timestamp with specified fields replaced.
"""
return self.__class__(
self.year if year is None else year,
self.month if month is None else month,
self.day if day is None else day,
self.hour if hour is None else hour,
self.minute if minute is None else minute,
self.second if second is None else second,
nanosecond=((self.nanosecond if microsecond is None else microsecond * 1000)
if nanosecond is None else nanosecond),
tzinfo=self.tzinfo if tzinfo is None else tzinfo,
fold=self.fold if fold is None else fold)
def __hash__(self):
return hash((super().__hash__(), self.nanosecond)) if self.nanosecond else super().__hash__()
def __eq__(self, other):
return super().__eq__(other) and self.nanosecond == (
other.nanosecond if isinstance(other, nsdatetime) else other.microsecond * 1000)
def __gt__(self, other):
return super().__gt__(other) or (super().__eq__(other) and self.nanosecond > (
other.nanosecond if isinstance(other, nsdatetime) else other.microsecond * 1000))
def __lt__(self, other):
return not (self > other or self == other)
def __ge__(self, other):
return not self < other
def __le__(self, other):
return not self > other
def __ne__(self, other):
return not self == other
| (year, month=None, day=None, hour=0, minute=0, second=0, microsecond=0, tzinfo=None, *, fold=0, nanosecond: int = 0) | [
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11,697 | rarfile | __eq__ | null | def __eq__(self, other):
return super().__eq__(other) and self.nanosecond == (
other.nanosecond if isinstance(other, nsdatetime) else other.microsecond * 1000)
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11,698 | rarfile | __ge__ | null | def __ge__(self, other):
return not self < other
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11,699 | rarfile | __gt__ | null | def __gt__(self, other):
return super().__gt__(other) or (super().__eq__(other) and self.nanosecond > (
other.nanosecond if isinstance(other, nsdatetime) else other.microsecond * 1000))
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11,700 | rarfile | __hash__ | null | def __hash__(self):
return hash((super().__hash__(), self.nanosecond)) if self.nanosecond else super().__hash__()
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11,701 | rarfile | __le__ | null | def __le__(self, other):
return not self > other
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11,702 | rarfile | __lt__ | null | def __lt__(self, other):
return not (self > other or self == other)
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11,703 | rarfile | __ne__ | null | def __ne__(self, other):
return not self == other
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11,704 | rarfile | __new__ | null | def __new__(cls, year, month=None, day=None, hour=0, minute=0, second=0,
microsecond=0, tzinfo=None, *, fold=0, nanosecond=0):
usec, mod = divmod(nanosecond, 1000) if nanosecond else (microsecond, 0)
if mod == 0:
return datetime(year, month, day, hour, minute, second, usec, tzinfo, fold=fold)
self = super().__new__(cls, year, month, day, hour, minute, second, usec, tzinfo, fold=fold)
self.nanosecond = nanosecond
return self
| (cls, year, month=None, day=None, hour=0, minute=0, second=0, microsecond=0, tzinfo=None, *, fold=0, nanosecond=0) | [
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] |
11,705 | rarfile | astimezone | Convert to new timezone.
| def astimezone(self, tz=None):
"""Convert to new timezone.
"""
tmp = super().astimezone(tz)
return self.__class__(tmp.year, tmp.month, tmp.day, tmp.hour, tmp.minute, tmp.second,
nanosecond=self.nanosecond, tzinfo=tmp.tzinfo, fold=tmp.fold)
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11,706 | rarfile | isoformat | Formats with nanosecond precision by default.
| def isoformat(self, sep="T", timespec="auto"):
"""Formats with nanosecond precision by default.
"""
if timespec == "auto":
pre, post = super().isoformat(sep, "microseconds").split(".", 1)
return f"{pre}.{self.nanosecond:09d}{post[6:]}"
return super().isoformat(sep, timespec)
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11,707 | rarfile | replace | Return new timestamp with specified fields replaced.
| def replace(self, year=None, month=None, day=None, hour=None, minute=None, second=None,
microsecond=None, tzinfo=None, *, fold=None, nanosecond=None):
"""Return new timestamp with specified fields replaced.
"""
return self.__class__(
self.year if year is None else year,
self.month if month is None else month,
self.day if day is None else day,
self.hour if hour is None else hour,
self.minute if minute is None else minute,
self.second if second is None else second,
nanosecond=((self.nanosecond if microsecond is None else microsecond * 1000)
if nanosecond is None else nanosecond),
tzinfo=self.tzinfo if tzinfo is None else tzinfo,
fold=self.fold if fold is None else fold)
| (self, year=None, month=None, day=None, hour=None, minute=None, second=None, microsecond=None, tzinfo=None, *, fold=None, nanosecond=None) | [
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] |
11,709 | rarfile | parse_dos_time | Parse standard 32-bit DOS timestamp.
| def parse_dos_time(stamp):
"""Parse standard 32-bit DOS timestamp.
"""
sec, stamp = stamp & 0x1F, stamp >> 5
mn, stamp = stamp & 0x3F, stamp >> 6
hr, stamp = stamp & 0x1F, stamp >> 5
day, stamp = stamp & 0x1F, stamp >> 5
mon, stamp = stamp & 0x0F, stamp >> 4
yr = (stamp & 0x7F) + 1980
return (yr, mon, day, hr, mn, sec * 2)
| (stamp) | [
0.02985970675945282,
0.12517130374908447,
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0.012553412467241287,
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0.08163346350193024,
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0.00030329098808579147,
0.0014410574221983552,
0.041977740824222565,
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0.028898246586322784,
0.02597758173942566,
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0.019809721037745476,
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0.017188379541039467,
0.019265497103333473,
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0.06338384747505188,
0.05293476581573486,
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0.0015147542580962181,
0.023927675560116768,
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0.05181003734469414,
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] |
11,710 | rarfile | rar3_decompress | Decompress blob of compressed data.
Used for data with non-standard header - eg. comments.
| def rar3_decompress(vers, meth, data, declen=0, flags=0, crc=0, pwd=None, salt=None):
"""Decompress blob of compressed data.
Used for data with non-standard header - eg. comments.
"""
# already uncompressed?
if meth == RAR_M0 and (flags & RAR_FILE_PASSWORD) == 0:
return data
# take only necessary flags
flags = flags & (RAR_FILE_PASSWORD | RAR_FILE_SALT | RAR_FILE_DICTMASK)
flags |= RAR_LONG_BLOCK
# file header
fname = b"data"
date = ((2010 - 1980) << 25) + (12 << 21) + (31 << 16)
mode = DOS_MODE_ARCHIVE
fhdr = S_FILE_HDR.pack(len(data), declen, RAR_OS_MSDOS, crc,
date, vers, meth, len(fname), mode)
fhdr += fname
if salt:
fhdr += salt
# full header
hlen = S_BLK_HDR.size + len(fhdr)
hdr = S_BLK_HDR.pack(0, RAR_BLOCK_FILE, flags, hlen) + fhdr
hcrc = crc32(hdr[2:]) & 0xFFFF
hdr = S_BLK_HDR.pack(hcrc, RAR_BLOCK_FILE, flags, hlen) + fhdr
# archive main header
mh = S_BLK_HDR.pack(0x90CF, RAR_BLOCK_MAIN, 0, 13) + b"\0" * (2 + 4)
# decompress via temp rar
setup = tool_setup()
tmpfd, tmpname = mkstemp(suffix=".rar", dir=HACK_TMP_DIR)
tmpf = os.fdopen(tmpfd, "wb")
try:
tmpf.write(RAR_ID + mh + hdr + data)
tmpf.close()
curpwd = (flags & RAR_FILE_PASSWORD) and pwd or None
cmd = setup.open_cmdline(curpwd, tmpname)
p = custom_popen(cmd)
return p.communicate()[0]
finally:
tmpf.close()
os.unlink(tmpname)
| (vers, meth, data, declen=0, flags=0, crc=0, pwd=None, salt=None) | [
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] |
11,711 | rarfile | rar3_s2k | String-to-key hash for RAR3.
| def rar3_s2k(pwd, salt):
"""String-to-key hash for RAR3.
"""
if not isinstance(pwd, str):
pwd = pwd.decode("utf8")
seed = bytearray(pwd.encode("utf-16le") + salt)
h = Rar3Sha1(rarbug=True)
iv = b""
for i in range(16):
for j in range(0x4000):
cnt = S_LONG.pack(i * 0x4000 + j)
h.update(seed)
h.update(cnt[:3])
if j == 0:
iv += h.digest()[19:20]
key_be = h.digest()[:16]
key_le = pack("<LLLL", *unpack(">LLLL", key_be))
return key_le, iv
| (pwd, salt) | [
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0.057913295924663544,
0.04582769423723221,
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] |
11,713 | rarfile | sanitize_filename | Make filename safe for write access.
| def sanitize_filename(fname, pathsep, is_win32):
"""Make filename safe for write access.
"""
if is_win32:
if len(fname) > 1 and fname[1] == ":":
fname = fname[2:]
rc = RC_BAD_CHARS_WIN32
else:
rc = RC_BAD_CHARS_UNIX
if rc.search(fname):
fname = rc.sub("_", fname)
parts = []
for seg in fname.split("/"):
if seg in ("", ".", ".."):
continue
if is_win32 and seg[-1] in (" ", "."):
seg = seg[:-1] + "_"
parts.append(seg)
return pathsep.join(parts)
| (fname, pathsep, is_win32) | [
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11,717 | datetime | timezone | Fixed offset from UTC implementation of tzinfo. | class timezone(tzinfo):
__slots__ = '_offset', '_name'
# Sentinel value to disallow None
_Omitted = object()
def __new__(cls, offset, name=_Omitted):
if not isinstance(offset, timedelta):
raise TypeError("offset must be a timedelta")
if name is cls._Omitted:
if not offset:
return cls.utc
name = None
elif not isinstance(name, str):
raise TypeError("name must be a string")
if not cls._minoffset <= offset <= cls._maxoffset:
raise ValueError("offset must be a timedelta "
"strictly between -timedelta(hours=24) and "
"timedelta(hours=24).")
return cls._create(offset, name)
@classmethod
def _create(cls, offset, name=None):
self = tzinfo.__new__(cls)
self._offset = offset
self._name = name
return self
def __getinitargs__(self):
"""pickle support"""
if self._name is None:
return (self._offset,)
return (self._offset, self._name)
def __eq__(self, other):
if isinstance(other, timezone):
return self._offset == other._offset
return NotImplemented
def __hash__(self):
return hash(self._offset)
def __repr__(self):
"""Convert to formal string, for repr().
>>> tz = timezone.utc
>>> repr(tz)
'datetime.timezone.utc'
>>> tz = timezone(timedelta(hours=-5), 'EST')
>>> repr(tz)
"datetime.timezone(datetime.timedelta(-1, 68400), 'EST')"
"""
if self is self.utc:
return 'datetime.timezone.utc'
if self._name is None:
return "%s.%s(%r)" % (self.__class__.__module__,
self.__class__.__qualname__,
self._offset)
return "%s.%s(%r, %r)" % (self.__class__.__module__,
self.__class__.__qualname__,
self._offset, self._name)
def __str__(self):
return self.tzname(None)
def utcoffset(self, dt):
if isinstance(dt, datetime) or dt is None:
return self._offset
raise TypeError("utcoffset() argument must be a datetime instance"
" or None")
def tzname(self, dt):
if isinstance(dt, datetime) or dt is None:
if self._name is None:
return self._name_from_offset(self._offset)
return self._name
raise TypeError("tzname() argument must be a datetime instance"
" or None")
def dst(self, dt):
if isinstance(dt, datetime) or dt is None:
return None
raise TypeError("dst() argument must be a datetime instance"
" or None")
def fromutc(self, dt):
if isinstance(dt, datetime):
if dt.tzinfo is not self:
raise ValueError("fromutc: dt.tzinfo "
"is not self")
return dt + self._offset
raise TypeError("fromutc() argument must be a datetime instance"
" or None")
_maxoffset = timedelta(hours=24, microseconds=-1)
_minoffset = -_maxoffset
@staticmethod
def _name_from_offset(delta):
if not delta:
return 'UTC'
if delta < timedelta(0):
sign = '-'
delta = -delta
else:
sign = '+'
hours, rest = divmod(delta, timedelta(hours=1))
minutes, rest = divmod(rest, timedelta(minutes=1))
seconds = rest.seconds
microseconds = rest.microseconds
if microseconds:
return (f'UTC{sign}{hours:02d}:{minutes:02d}:{seconds:02d}'
f'.{microseconds:06d}')
if seconds:
return f'UTC{sign}{hours:02d}:{minutes:02d}:{seconds:02d}'
return f'UTC{sign}{hours:02d}:{minutes:02d}'
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] |
11,718 | rarfile | to_datetime | Convert 6-part time tuple into datetime object.
| def to_datetime(t):
"""Convert 6-part time tuple into datetime object.
"""
# extract values
year, mon, day, h, m, s = t
# assume the values are valid
try:
return datetime(year, mon, day, h, m, s)
except ValueError:
pass
# sanitize invalid values
mday = (0, 31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31)
mon = max(1, min(mon, 12))
day = max(1, min(day, mday[mon]))
h = min(h, 23)
m = min(m, 59)
s = min(s, 59)
return datetime(year, mon, day, h, m, s)
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11,719 | rarfile | to_nsdatetime | Apply nanoseconds to datetime.
| def to_nsdatetime(dt, nsec):
"""Apply nanoseconds to datetime.
"""
if not nsec:
return dt
return nsdatetime(dt.year, dt.month, dt.day, dt.hour, dt.minute, dt.second,
tzinfo=dt.tzinfo, fold=dt.fold, nanosecond=nsec)
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] |
11,720 | rarfile | to_nsecs | Convert datatime instance to nanoseconds.
| def to_nsecs(dt):
"""Convert datatime instance to nanoseconds.
"""
secs = int(dt.timestamp())
nsecs = dt.nanosecond if isinstance(dt, nsdatetime) else dt.microsecond * 1000
return secs * 1000000000 + nsecs
| (dt) | [
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] |
11,721 | rarfile | tool_setup | Pick a tool, return cached ToolSetup.
| def tool_setup(unrar=True, unar=True, bsdtar=True, sevenzip=True, sevenzip2=True, force=False):
"""Pick a tool, return cached ToolSetup.
"""
global CURRENT_SETUP
if force:
CURRENT_SETUP = None
if CURRENT_SETUP is not None:
return CURRENT_SETUP
lst = []
if unrar:
lst.append(UNRAR_CONFIG)
if unar:
lst.append(UNAR_CONFIG)
if sevenzip:
lst.append(SEVENZIP_CONFIG)
if sevenzip2:
lst.append(SEVENZIP2_CONFIG)
if bsdtar:
lst.append(BSDTAR_CONFIG)
for conf in lst:
setup = ToolSetup(conf)
if setup.check():
CURRENT_SETUP = setup
break
if CURRENT_SETUP is None:
raise RarCannotExec("Cannot find working tool")
return CURRENT_SETUP
| (unrar=True, unar=True, bsdtar=True, sevenzip=True, sevenzip2=True, force=False) | [
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11,727 | parse | SingleEntry | SingleEntry(package: str, name: str, docstring: Optional[str], code: Optional[str], signature: Optional[str]) | class SingleEntry:
# name of the pip package
package: str
# name of the class or method
name: str
# docstring of the class or method
docstring: Optional[str]
# code of the class or method
code: Optional[str]
# signature of the class or method
signature: Optional[str]
| (package: str, name: str, docstring: Optional[str], code: Optional[str], signature: Optional[str]) -> None | [
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11,728 | parse | __eq__ | null | import subprocess
import argparse
from dataclasses import dataclass
from typing import Optional, Any
import sys
import os
import inspect_sphinx
import inspect
from dill.source import getsource
import pathlib
import pandas as pd
import importlib
@dataclass
class SingleEntry:
# name of the pip package
package: str
# name of the class or method
name: str
# docstring of the class or method
docstring: Optional[str]
# code of the class or method
code: Optional[str]
# signature of the class or method
signature: Optional[str]
| (self, other) | [
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11,731 | parse | _recursive_package_list_modules | null | def _recursive_package_list_modules(package: object):
# get all classes from a package
for name, obj in inspect.getmembers(package):
if inspect.isfunction(obj):
yield obj
if inspect.isclass(obj):
yield obj
for name, obj in inspect.getmembers(obj):
if inspect.isfunction(obj):
yield obj
elif inspect.ismodule(obj):
try:
yield from _recursive_package_list_modules(obj.__name__)
except:
continue
| (package: object) | [
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11,734 | parse | get_all_docstrings_and_code | null | def get_all_docstrings_and_code(package_name: str) -> list[SingleEntry]:
# get all classes from a package
package = importlib.import_module(package_name)
all_classes = _recursive_package_list_modules(package)
# get docstrings and code of all classes
return [get_docs_and_code(cls) for cls in all_classes]
| (package_name: str) -> list[parse.SingleEntry] | [
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11,735 | parse | get_docs_and_code | null | def get_docs_and_code(cls_or_method: Any) -> SingleEntry:
try:
doc = inspect_sphinx.getdoc(cls_or_method)
except:
doc = None
try:
code = getsource(
cls_or_method, builtin=True, force=True, lstrip=True, enclosing=True
)
except:
code = None
try:
signature = str(inspect_sphinx.signature(cls_or_method))
except:
signature = None
return SingleEntry(
package=cls_or_method.__module__,
docstring=doc,
code=code,
signature=signature,
name=cls_or_method.__name__,
)
| (cls_or_method: Any) -> parse.SingleEntry | [
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] |
11,736 | dill.source | getsource | Return the text of the source code for an object. The source code for
interactively-defined objects are extracted from the interpreter's history.
The argument may be a module, class, method, function, traceback, frame,
or code object. The source code is returned as a single string. An
IOError is raised if the source code cannot be retrieved, while a
TypeError is raised for objects where the source code is unavailable
(e.g. builtins).
If alias is provided, then add a line of code that renames the object.
If lstrip=True, ensure there is no indentation in the first line of code.
If enclosing=True, then also return any enclosing code.
If force=True, catch (TypeError,IOError) and try to use import hooks.
If builtin=True, force an import for any builtins
| def getsource(object, alias='', lstrip=False, enclosing=False, \
force=False, builtin=False):
"""Return the text of the source code for an object. The source code for
interactively-defined objects are extracted from the interpreter's history.
The argument may be a module, class, method, function, traceback, frame,
or code object. The source code is returned as a single string. An
IOError is raised if the source code cannot be retrieved, while a
TypeError is raised for objects where the source code is unavailable
(e.g. builtins).
If alias is provided, then add a line of code that renames the object.
If lstrip=True, ensure there is no indentation in the first line of code.
If enclosing=True, then also return any enclosing code.
If force=True, catch (TypeError,IOError) and try to use import hooks.
If builtin=True, force an import for any builtins
"""
# hascode denotes a callable
hascode = _hascode(object)
# is a class instance type (and not in builtins)
instance = _isinstance(object)
# get source lines; if fail, try to 'force' an import
try: # fails for builtins, and other assorted object types
lines, lnum = getsourcelines(object, enclosing=enclosing)
except (TypeError, IOError): # failed to get source, resort to import hooks
if not force: # don't try to get types that findsource can't get
raise
if not getmodule(object): # get things like 'None' and '1'
if not instance: return getimport(object, alias, builtin=builtin)
# special handling (numpy arrays, ...)
_import = getimport(object, builtin=builtin)
name = getname(object, force=True)
_alias = "%s = " % alias if alias else ""
if alias == name: _alias = ""
return _import+_alias+"%s\n" % name
else: #FIXME: could use a good bit of cleanup, since using getimport...
if not instance: return getimport(object, alias, builtin=builtin)
# now we are dealing with an instance...
name = object.__class__.__name__
module = object.__module__
if module in ['builtins','__builtin__']:
return getimport(object, alias, builtin=builtin)
else: #FIXME: leverage getimport? use 'from module import name'?
lines, lnum = ["%s = __import__('%s', fromlist=['%s']).%s\n" % (name,module,name,name)], 0
obj = eval(lines[0].lstrip(name + ' = '))
lines, lnum = getsourcelines(obj, enclosing=enclosing)
# strip leading indent (helps ensure can be imported)
if lstrip or alias:
lines = _outdent(lines)
# instantiate, if there's a nice repr #XXX: BAD IDEA???
if instance: #and force: #XXX: move into findsource or getsourcelines ?
if '(' in repr(object): lines.append('%r\n' % object)
#else: #XXX: better to somehow to leverage __reduce__ ?
# reconstructor,args = object.__reduce__()
# _ = reconstructor(*args)
else: # fall back to serialization #XXX: bad idea?
#XXX: better not duplicate work? #XXX: better new/enclose=True?
lines = dumpsource(object, alias='', new=force, enclose=False)
lines, lnum = [line+'\n' for line in lines.split('\n')][:-1], 0
#else: object.__code__ # raise AttributeError
# add an alias to the source code
if alias:
if hascode:
skip = 0
for line in lines: # skip lines that are decorators
if not line.startswith('@'): break
skip += 1
#XXX: use regex from findsource / getsourcelines ?
if lines[skip].lstrip().startswith('def '): # we have a function
if alias != object.__name__:
lines.append('\n%s = %s\n' % (alias, object.__name__))
elif 'lambda ' in lines[skip]: # we have a lambda
if alias != lines[skip].split('=')[0].strip():
lines[skip] = '%s = %s' % (alias, lines[skip])
else: # ...try to use the object's name
if alias != object.__name__:
lines.append('\n%s = %s\n' % (alias, object.__name__))
else: # class or class instance
if instance:
if alias != lines[-1].split('=')[0].strip():
lines[-1] = ('%s = ' % alias) + lines[-1]
else:
name = getname(object, force=True) or object.__name__
if alias != name:
lines.append('\n%s = %s\n' % (alias, name))
return ''.join(lines)
| (object, alias='', lstrip=False, enclosing=False, force=False, builtin=False) | [
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11,741 | parse | package_to_s3parquet |
gets all docstrings and code of a package and saves it to a parquet file
pushes the parquet file to s3
| def package_to_s3parquet(package_name: str, s3_bucket: Optional[str]):
"""
gets all docstrings and code of a package and saves it to a parquet file
pushes the parquet file to s3
"""
os.environ["VIRTUAL_ENV"] = sys.prefix
subprocess.check_call(["uv", "pip", "install", package_name])
# get all docstrings and code of the package
print(f"installing package {package_name} done.")
package_name = package_name.replace("-", "_")
entries = get_all_docstrings_and_code(package_name)
# convert to a pandas dataframe
df = pd.DataFrame([entry.__dict__ for entry in entries])
path = s3_bucket + f"/{package_name}.parquet"
# save to parquet
df.to_parquet(path)
print(f"Exported parquet to {path}")
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] |
11,746 | parse | test_get_all_docstrings_and_code | null | def test_get_all_docstrings_and_code(library_name: str = "transformers"):
# get all docstrings and code of the transformers package
entries = get_all_docstrings_and_code("transformers")
# print some stats
print(f"Number of classes: {len(entries)}")
print(
f"Number of classes with docstrings: {len([entry for entry in entries if entry.docstring])}"
)
print(
f"Number of classes with code: {len([entry for entry in entries if entry.code])}"
)
print(
f"Number of classes with signature: {len([entry for entry in entries if entry.signature])}"
)
# check that all classes have a package name starting with 'transformers'
assert all([entry.package.startswith("transformers") for entry in entries])
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11,747 | parse | test_get_docs_and_code | null | def test_get_docs_and_code():
# get docstring and code of the class
from transformers import LlamaPreTrainedModel
entry = get_docs_and_code(LlamaPreTrainedModel)
assert entry.package.startswith("transformers")
assert entry.docstring == LlamaPreTrainedModel.__doc__
| () | [
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] |
11,749 | allan_variance.avar | compute_avar | Compute Allan variance (AVAR).
Consider an underlying measurement y(t). Our sensors output integrals of
y(t) over successive time intervals of length dt. These measurements
x(k * dt) form the input to this function.
Allan variance is defined for different averaging times tau = m * dt as
follows::
AVAR(tau) = 1/2 * <(Y(k + m) - Y(k))>,
where Y(j) is the time average value of y(t) over [k * dt, (k + m) * dt]
(call it a cluster), and < ... > means averaging over different clusters.
If we define X(j) being an integral of x(s) from 0 to dt * j,
we can rewrite the AVAR as follows::
AVAR(tau) = 1/(2 * tau**2) * <X(k + 2 * m) - 2 * X(k + m) + X(k)>
We implement < ... > by averaging over different clusters of a given sample
with overlapping, and X(j) is readily available from x.
Parameters
----------
x : ndarray, shape (n, ...)
Sensor readings, interpretation depends on `input_type` argument.
Assumed to vary along the 0-th axis.
dt : float, optional
Sampling period. Default is 1.
tau_min : float or None, optional
Minimum averaging time to use. If None (default), it is assigned equal
to `dt`.
tau_max : float or None, optional
Maximum averaging time to use. If None (default), it is chosen
automatically such that to averaging is done over 10 *independent*
clusters.
n_clusters : int, optional
Number of clusters to compute Allan variance for. The averaging times
will be spread approximately uniform in a log scale. Default is 100.
input_type : {'mean', 'increment', 'integral'}, optional
How to interpret the input data:
- 'mean': `x` is assumed to contain mean values of y over
successive time intervals.
- 'increment': `x` is assumed to contain integral increments over
successive time intervals.
- 'integral': `x` is assumed to contain cumulative integral of
y from the time start.
Note that 'mean' can be used when passing filtered and sampled value
of y. But in this case generally the filtering process affects
properties of the underlying signal y and "effective" Allan variance
is computed, i.e. you can use obtained parameters when working with
the sampled signal.
Returns
-------
tau : ndarray
Averaging times for which Allan variance was computed, 1-d array.
avar : ndarray
Values of AVAR. The 0-th dimension is the same as for `tau`. The
trailing dimensions match ones for `x`.
References
----------
.. [1] https://en.wikipedia.org/wiki/Allan_variance
| def compute_avar(x, dt=1, tau_min=None, tau_max=None,
n_clusters=100, input_type='mean'):
"""Compute Allan variance (AVAR).
Consider an underlying measurement y(t). Our sensors output integrals of
y(t) over successive time intervals of length dt. These measurements
x(k * dt) form the input to this function.
Allan variance is defined for different averaging times tau = m * dt as
follows::
AVAR(tau) = 1/2 * <(Y(k + m) - Y(k))>,
where Y(j) is the time average value of y(t) over [k * dt, (k + m) * dt]
(call it a cluster), and < ... > means averaging over different clusters.
If we define X(j) being an integral of x(s) from 0 to dt * j,
we can rewrite the AVAR as follows::
AVAR(tau) = 1/(2 * tau**2) * <X(k + 2 * m) - 2 * X(k + m) + X(k)>
We implement < ... > by averaging over different clusters of a given sample
with overlapping, and X(j) is readily available from x.
Parameters
----------
x : ndarray, shape (n, ...)
Sensor readings, interpretation depends on `input_type` argument.
Assumed to vary along the 0-th axis.
dt : float, optional
Sampling period. Default is 1.
tau_min : float or None, optional
Minimum averaging time to use. If None (default), it is assigned equal
to `dt`.
tau_max : float or None, optional
Maximum averaging time to use. If None (default), it is chosen
automatically such that to averaging is done over 10 *independent*
clusters.
n_clusters : int, optional
Number of clusters to compute Allan variance for. The averaging times
will be spread approximately uniform in a log scale. Default is 100.
input_type : {'mean', 'increment', 'integral'}, optional
How to interpret the input data:
- 'mean': `x` is assumed to contain mean values of y over
successive time intervals.
- 'increment': `x` is assumed to contain integral increments over
successive time intervals.
- 'integral': `x` is assumed to contain cumulative integral of
y from the time start.
Note that 'mean' can be used when passing filtered and sampled value
of y. But in this case generally the filtering process affects
properties of the underlying signal y and "effective" Allan variance
is computed, i.e. you can use obtained parameters when working with
the sampled signal.
Returns
-------
tau : ndarray
Averaging times for which Allan variance was computed, 1-d array.
avar : ndarray
Values of AVAR. The 0-th dimension is the same as for `tau`. The
trailing dimensions match ones for `x`.
References
----------
.. [1] https://en.wikipedia.org/wiki/Allan_variance
"""
ALLOWED_INPUT_TYPES = ['mean', 'increment', 'integral']
if input_type not in ALLOWED_INPUT_TYPES:
raise ValueError("`input_type` must be one of {}."
.format(ALLOWED_INPUT_TYPES))
x = np.asarray(x, dtype=float)
if input_type == 'integral':
X = x
else:
X = np.cumsum(x, axis=0)
cluster_sizes = _compute_cluster_sizes(len(x), dt, tau_min, tau_max,
n_clusters)
avar = np.empty(cluster_sizes.shape + X.shape[1:])
for i, k in enumerate(cluster_sizes):
c = X[2*k:] - 2 * X[k:-k] + X[:-2*k]
avar[i] = np.mean(c**2, axis=0) / k / k
if input_type == 'mean':
avar *= 0.5
else:
avar *= 0.5 / dt**2
return cluster_sizes * dt, avar
| (x, dt=1, tau_min=None, tau_max=None, n_clusters=100, input_type='mean') | [
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11,750 | allan_variance.avar | estimate_parameters | Estimate noise parameters from Allan variance.
The parameters being estimated are typical for inertial sensors:
quantization noise, additive white noise, flicker noise (long term bias
instability), random walk and linear ramp (this is a deterministic effect).
The parameters are estimated using linear least squares with weights
inversely proportional to the values of Allan variance. That is the sum of
relative error is minimized. This approach is approximately equivalent of
doing estimation in the log-log scale.
If the variable of the underlying process has a unit U (say deg/s for gyroscopes)
then the estimated parameters has the following units:
- U * s for quantization noise (deg for gyros)
- U * s**0.5 for white noise (deg/s**0.5 for gyros)
- U for flicker noise (deg/s for gyros)
- U / s**0.5 for random walk (deg/s/s**0.5 for gyros)
- U / s for ramp (deg/s/s for gyros)
Parameters
----------
tau : ndarray, shape (n,)
Values of averaging time.
avar : ndarray, shape (n,) or (n, m)
Values of Allan variance corresponding to `tau`.
effects : list or None, optional
Which effects to estimate. Allowed effects are 'quantization', 'white',
'flicker', 'walk', 'ramp'. If None (default), estimate all of the
mentioned above effects.
sensor_names : list or None, optional
How to name sensors in the output. If None (default), use integer
values as names.
Returns
-------
params : pandas DataFrame or Series
Estimated parameters.
prediction : ndarray, shape (n,) or (n, m)
Predicted values of Allan variance using the estimated parameters.
| def estimate_parameters(tau, avar, effects=None, sensor_names=None):
"""Estimate noise parameters from Allan variance.
The parameters being estimated are typical for inertial sensors:
quantization noise, additive white noise, flicker noise (long term bias
instability), random walk and linear ramp (this is a deterministic effect).
The parameters are estimated using linear least squares with weights
inversely proportional to the values of Allan variance. That is the sum of
relative error is minimized. This approach is approximately equivalent of
doing estimation in the log-log scale.
If the variable of the underlying process has a unit U (say deg/s for gyroscopes)
then the estimated parameters has the following units:
- U * s for quantization noise (deg for gyros)
- U * s**0.5 for white noise (deg/s**0.5 for gyros)
- U for flicker noise (deg/s for gyros)
- U / s**0.5 for random walk (deg/s/s**0.5 for gyros)
- U / s for ramp (deg/s/s for gyros)
Parameters
----------
tau : ndarray, shape (n,)
Values of averaging time.
avar : ndarray, shape (n,) or (n, m)
Values of Allan variance corresponding to `tau`.
effects : list or None, optional
Which effects to estimate. Allowed effects are 'quantization', 'white',
'flicker', 'walk', 'ramp'. If None (default), estimate all of the
mentioned above effects.
sensor_names : list or None, optional
How to name sensors in the output. If None (default), use integer
values as names.
Returns
-------
params : pandas DataFrame or Series
Estimated parameters.
prediction : ndarray, shape (n,) or (n, m)
Predicted values of Allan variance using the estimated parameters.
"""
ALLOWED_EFFECTS = ['quantization', 'white', 'flicker', 'walk', 'ramp']
avar = np.asarray(avar)
single_series = avar.ndim == 1
if single_series:
avar = avar[:, None]
if effects is None:
effects = ALLOWED_EFFECTS
elif not set(effects) <= set(ALLOWED_EFFECTS):
raise ValueError("Unknown effects are passed.")
n = len(tau)
A = np.empty((n, 5))
A[:, 0] = 3 / tau**2
A[:, 1] = 1 / tau
A[:, 2] = 2 * np.log(2) / np.pi
A[:, 3] = tau / 3
A[:, 4] = tau**2 / 2
mask = ['quantization' in effects,
'white' in effects,
'flicker' in effects,
'walk' in effects,
'ramp' in effects]
A = A[:, mask]
effects = np.asarray(ALLOWED_EFFECTS)[mask]
params = []
prediction = []
for column in range(avar.shape[1]):
avar_single = avar[:, column]
A_scaled = A / avar_single[:, None]
x = nnls(A_scaled, np.ones(n))[0]
prediction.append(A_scaled.dot(x) * avar_single)
params.append(np.sqrt(x))
params = np.asarray(params)
prediction = np.asarray(prediction).T
params = pd.DataFrame(params, index=sensor_names, columns=effects)
if single_series:
params = params.iloc[0]
prediction = prediction[:, 0]
return params, prediction
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11,751 | allan_variance.noise | generate_noise | Generate Gaussian noise with a power law spectrum.
The function generates a noise sequence with the following
power spectral density (PSD) function::
PSD(f) = magnitude**2 / (2 * np.pi * f)**alpha
Where ``magnitude`` and ``alpha`` are function arguments.
The noise is generated using a "fractional differencing" approach [1]_ which does
digital convolution of a white noise sequence with an impulse response
corresponding to the following transfer function::
H(z) = 1 / (1 - z**-1)**(alpha/2)
With ``alpha = 2`` this transfer function is rational and corresponds to a
well known process with independent increments or Browninan motion.
For other alphas (for example ``alpha = 1`` -- flicker noise) it is non-rational
and has to be expanded into a Taylor series to implement a convolution.
The size of expansion is equal to the size of the desired output.
Parameters
----------
alpha : float
Exponent in the denominator of the power law.
shape : array_like
Required shape of the output. The time is assumed to vary along the 0-th
dimension. For example, to generate 100 signals of length 1000 pass
`shape` as (1000, 100).
dt : float, optional
Time period between samples in seconds. Default is 1.0.
scale : float, optional
Input unit white noise is multiplied by `scale`. Default is 1.0.
rng : None, int or `numpy.random.RandomState`, optional
Seed to create or already created RandomState. None (default) corresponds to
nondeterministic seeding.
Returns
-------
ndarray
Generated noise with the given `shape`.
References
----------
.. [1] J. N. Kasdin "Discrete Simulation of Colored Noise and Stochastic Processes
and 1/f^alpha Power Law Noise Generation"
| def generate_noise(alpha, shape, dt=1.0, scale=1.0, rng=None):
"""Generate Gaussian noise with a power law spectrum.
The function generates a noise sequence with the following
power spectral density (PSD) function::
PSD(f) = magnitude**2 / (2 * np.pi * f)**alpha
Where ``magnitude`` and ``alpha`` are function arguments.
The noise is generated using a "fractional differencing" approach [1]_ which does
digital convolution of a white noise sequence with an impulse response
corresponding to the following transfer function::
H(z) = 1 / (1 - z**-1)**(alpha/2)
With ``alpha = 2`` this transfer function is rational and corresponds to a
well known process with independent increments or Browninan motion.
For other alphas (for example ``alpha = 1`` -- flicker noise) it is non-rational
and has to be expanded into a Taylor series to implement a convolution.
The size of expansion is equal to the size of the desired output.
Parameters
----------
alpha : float
Exponent in the denominator of the power law.
shape : array_like
Required shape of the output. The time is assumed to vary along the 0-th
dimension. For example, to generate 100 signals of length 1000 pass
`shape` as (1000, 100).
dt : float, optional
Time period between samples in seconds. Default is 1.0.
scale : float, optional
Input unit white noise is multiplied by `scale`. Default is 1.0.
rng : None, int or `numpy.random.RandomState`, optional
Seed to create or already created RandomState. None (default) corresponds to
nondeterministic seeding.
Returns
-------
ndarray
Generated noise with the given `shape`.
References
----------
.. [1] J. N. Kasdin "Discrete Simulation of Colored Noise and Stochastic Processes
and 1/f^alpha Power Law Noise Generation"
"""
rng = check_random_state(rng)
shape = np.atleast_1d(shape)
n_samples = shape[0]
h = np.empty(n_samples)
h[0] = 1
for i in range(1, n_samples):
h[i] = h[i - 1] * (0.5 * alpha + i - 1) / i
h = h.reshape((-1,) + (1,) * (len(shape) - 1))
w = rng.randn(*shape)
return scale * dt ** (-0.5 * (1 - alpha)) * fftconvolve(h, w)[:n_samples]
| (alpha, shape, dt=1.0, scale=1.0, rng=None) | [
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] |
11,753 | hstspreload | _crc8 | null | def _crc8(value: bytes) -> int:
# CRC8 reference implementation: https://github.com/niccokunzmann/crc8
checksum = 0x00
for byte in value:
checksum = _CRC8_TABLE[checksum ^ byte]
return checksum
| (value: bytes) -> int | [
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11,754 | hstspreload | _iter_entries | null | def _iter_entries(data: bytes) -> typing.Iterable[typing.Tuple[int, int, bytes]]:
while data:
flags = data[0]
size = data[1]
label = bytes(data[2 : 2 + size])
yield (flags & _IS_LEAF, flags & _INCLUDE_SUBDOMAINS, label)
data = data[2 + size :]
| (data: bytes) -> Iterable[Tuple[int, int, bytes]] | [
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11,756 | importlib.resources | open_binary | Return a file-like object opened for binary reading of the resource. | def open_binary(package: Package, resource: Resource) -> BinaryIO:
"""Return a file-like object opened for binary reading of the resource."""
resource = _common.normalize_path(resource)
package = _common.get_package(package)
reader = _common.get_resource_reader(package)
if reader is not None:
return reader.open_resource(resource)
spec = cast(ModuleSpec, package.__spec__)
# Using pathlib doesn't work well here due to the lack of 'strict'
# argument for pathlib.Path.resolve() prior to Python 3.6.
if spec.submodule_search_locations is not None:
paths = spec.submodule_search_locations
elif spec.origin is not None:
paths = [os.path.dirname(os.path.abspath(spec.origin))]
for package_path in paths:
full_path = os.path.join(package_path, resource)
try:
return open(full_path, mode='rb')
except OSError:
# Just assume the loader is a resource loader; all the relevant
# importlib.machinery loaders are and an AttributeError for
# get_data() will make it clear what is needed from the loader.
loader = cast(ResourceLoader, spec.loader)
data = None
if hasattr(spec.loader, 'get_data'):
with suppress(OSError):
data = loader.get_data(full_path)
if data is not None:
return BytesIO(data)
raise FileNotFoundError(f'{resource!r} resource not found in {spec.name!r}')
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11,757 | hstspreload | open_pkg_binary | null | def open_pkg_binary(path: str) -> typing.BinaryIO:
return open_binary("hstspreload", path)
| (path: str) -> <class 'BinaryIO'> | [
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] |
11,760 | mozdebug.mozdebug | DebuggerInfo | DebuggerInfo(path, interactive, args, requiresEscapedArgs) | from mozdebug.mozdebug import DebuggerInfo
| (path, interactive, args, requiresEscapedArgs) | [
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11,762 | namedtuple_DebuggerInfo | __new__ | Create new instance of DebuggerInfo(path, interactive, args, requiresEscapedArgs) | from builtins import function
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] |
11,765 | collections | _replace | Return a new DebuggerInfo object replacing specified fields with new values | def namedtuple(typename, field_names, *, rename=False, defaults=None, module=None):
"""Returns a new subclass of tuple with named fields.
>>> Point = namedtuple('Point', ['x', 'y'])
>>> Point.__doc__ # docstring for the new class
'Point(x, y)'
>>> p = Point(11, y=22) # instantiate with positional args or keywords
>>> p[0] + p[1] # indexable like a plain tuple
33
>>> x, y = p # unpack like a regular tuple
>>> x, y
(11, 22)
>>> p.x + p.y # fields also accessible by name
33
>>> d = p._asdict() # convert to a dictionary
>>> d['x']
11
>>> Point(**d) # convert from a dictionary
Point(x=11, y=22)
>>> p._replace(x=100) # _replace() is like str.replace() but targets named fields
Point(x=100, y=22)
"""
# Validate the field names. At the user's option, either generate an error
# message or automatically replace the field name with a valid name.
if isinstance(field_names, str):
field_names = field_names.replace(',', ' ').split()
field_names = list(map(str, field_names))
typename = _sys.intern(str(typename))
if rename:
seen = set()
for index, name in enumerate(field_names):
if (not name.isidentifier()
or _iskeyword(name)
or name.startswith('_')
or name in seen):
field_names[index] = f'_{index}'
seen.add(name)
for name in [typename] + field_names:
if type(name) is not str:
raise TypeError('Type names and field names must be strings')
if not name.isidentifier():
raise ValueError('Type names and field names must be valid '
f'identifiers: {name!r}')
if _iskeyword(name):
raise ValueError('Type names and field names cannot be a '
f'keyword: {name!r}')
seen = set()
for name in field_names:
if name.startswith('_') and not rename:
raise ValueError('Field names cannot start with an underscore: '
f'{name!r}')
if name in seen:
raise ValueError(f'Encountered duplicate field name: {name!r}')
seen.add(name)
field_defaults = {}
if defaults is not None:
defaults = tuple(defaults)
if len(defaults) > len(field_names):
raise TypeError('Got more default values than field names')
field_defaults = dict(reversed(list(zip(reversed(field_names),
reversed(defaults)))))
# Variables used in the methods and docstrings
field_names = tuple(map(_sys.intern, field_names))
num_fields = len(field_names)
arg_list = ', '.join(field_names)
if num_fields == 1:
arg_list += ','
repr_fmt = '(' + ', '.join(f'{name}=%r' for name in field_names) + ')'
tuple_new = tuple.__new__
_dict, _tuple, _len, _map, _zip = dict, tuple, len, map, zip
# Create all the named tuple methods to be added to the class namespace
namespace = {
'_tuple_new': tuple_new,
'__builtins__': {},
'__name__': f'namedtuple_{typename}',
}
code = f'lambda _cls, {arg_list}: _tuple_new(_cls, ({arg_list}))'
__new__ = eval(code, namespace)
__new__.__name__ = '__new__'
__new__.__doc__ = f'Create new instance of {typename}({arg_list})'
if defaults is not None:
__new__.__defaults__ = defaults
@classmethod
def _make(cls, iterable):
result = tuple_new(cls, iterable)
if _len(result) != num_fields:
raise TypeError(f'Expected {num_fields} arguments, got {len(result)}')
return result
_make.__func__.__doc__ = (f'Make a new {typename} object from a sequence '
'or iterable')
def _replace(self, /, **kwds):
result = self._make(_map(kwds.pop, field_names, self))
if kwds:
raise ValueError(f'Got unexpected field names: {list(kwds)!r}')
return result
_replace.__doc__ = (f'Return a new {typename} object replacing specified '
'fields with new values')
def __repr__(self):
'Return a nicely formatted representation string'
return self.__class__.__name__ + repr_fmt % self
def _asdict(self):
'Return a new dict which maps field names to their values.'
return _dict(_zip(self._fields, self))
def __getnewargs__(self):
'Return self as a plain tuple. Used by copy and pickle.'
return _tuple(self)
# Modify function metadata to help with introspection and debugging
for method in (
__new__,
_make.__func__,
_replace,
__repr__,
_asdict,
__getnewargs__,
):
method.__qualname__ = f'{typename}.{method.__name__}'
# Build-up the class namespace dictionary
# and use type() to build the result class
class_namespace = {
'__doc__': f'{typename}({arg_list})',
'__slots__': (),
'_fields': field_names,
'_field_defaults': field_defaults,
'__new__': __new__,
'_make': _make,
'_replace': _replace,
'__repr__': __repr__,
'_asdict': _asdict,
'__getnewargs__': __getnewargs__,
'__match_args__': field_names,
}
for index, name in enumerate(field_names):
doc = _sys.intern(f'Alias for field number {index}')
class_namespace[name] = _tuplegetter(index, doc)
result = type(typename, (tuple,), class_namespace)
# For pickling to work, the __module__ variable needs to be set to the frame
# where the named tuple is created. Bypass this step in environments where
# sys._getframe is not defined (Jython for example) or sys._getframe is not
# defined for arguments greater than 0 (IronPython), or where the user has
# specified a particular module.
if module is None:
try:
module = _sys._getframe(1).f_globals.get('__name__', '__main__')
except (AttributeError, ValueError):
pass
if module is not None:
result.__module__ = module
return result
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11,767 | mozdebug.mozdebug | get_debugger_info |
Get the information about the requested debugger.
Returns a dictionary containing the ``path`` of the debugger executable,
if it will run in ``interactive`` mode, its arguments and whether it needs
to escape arguments it passes to the debugged program (``requiresEscapedArgs``).
If the debugger cannot be found in the system, returns ``None``.
:param debugger: The name of the debugger.
:param debuggerArgs: If specified, it's the arguments to pass to the debugger,
as a string. Any debugger-specific separator arguments are appended after
these arguments.
:param debuggerInteractive: If specified, forces the debugger to be interactive.
| def get_debugger_info(debugger, debuggerArgs=None, debuggerInteractive=False):
"""
Get the information about the requested debugger.
Returns a dictionary containing the ``path`` of the debugger executable,
if it will run in ``interactive`` mode, its arguments and whether it needs
to escape arguments it passes to the debugged program (``requiresEscapedArgs``).
If the debugger cannot be found in the system, returns ``None``.
:param debugger: The name of the debugger.
:param debuggerArgs: If specified, it's the arguments to pass to the debugger,
as a string. Any debugger-specific separator arguments are appended after
these arguments.
:param debuggerInteractive: If specified, forces the debugger to be interactive.
"""
debuggerPath = None
if debugger:
# Append '.exe' to the debugger on Windows if it's not present,
# so things like '--debugger=devenv' work.
if os.name == "nt" and not debugger.lower().endswith(".exe"):
debugger += ".exe"
debuggerPath = get_debugger_path(debugger)
if not debuggerPath:
# windbg is not installed with the standard set of tools, and it's
# entirely possible that the user hasn't added the install location to
# PATH, so we have to be a little more clever than normal to locate it.
# Just try to look for it in the standard installed location(s).
if debugger == "windbg.exe":
for candidate in _windbg_installation_paths():
if os.path.exists(candidate):
debuggerPath = candidate
break
else:
if os.path.exists(debugger):
debuggerPath = debugger
if not debuggerPath:
print("Error: Could not find debugger %s." % debugger)
print("Is it installed? Is it in your PATH?")
return None
debuggerName = os.path.basename(debuggerPath).lower()
def get_debugger_info(type, default):
if debuggerName in _DEBUGGER_INFO and type in _DEBUGGER_INFO[debuggerName]:
return _DEBUGGER_INFO[debuggerName][type]
return default
# Define a namedtuple to access the debugger information from the outside world.
debugger_arguments = []
if debuggerArgs:
# Append the provided debugger arguments at the end of the arguments list.
debugger_arguments += debuggerArgs.split()
debugger_arguments += get_debugger_info("args", [])
# Override the default debugger interactive mode if needed.
debugger_interactive = get_debugger_info("interactive", False)
if debuggerInteractive:
debugger_interactive = debuggerInteractive
d = DebuggerInfo(
debuggerPath,
debugger_interactive,
debugger_arguments,
get_debugger_info("requiresEscapedArgs", False),
)
return d
| (debugger, debuggerArgs=None, debuggerInteractive=False) | [
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] |
11,768 | mozdebug.mozdebug | get_default_debugger_name |
Get the debugger name for the default debugger on current platform.
:param search: If specified, stops looking for the debugger if the
default one is not found (``DebuggerSearch.OnlyFirst``) or keeps
looking for other compatible debuggers (``DebuggerSearch.KeepLooking``).
| def get_default_debugger_name(search=DebuggerSearch.OnlyFirst):
"""
Get the debugger name for the default debugger on current platform.
:param search: If specified, stops looking for the debugger if the
default one is not found (``DebuggerSearch.OnlyFirst``) or keeps
looking for other compatible debuggers (``DebuggerSearch.KeepLooking``).
"""
mozinfo.find_and_update_from_json()
os = mozinfo.info["os"]
# Find out which debuggers are preferred for use on this platform.
debuggerPriorities = _DEBUGGER_PRIORITIES[
os if os in _DEBUGGER_PRIORITIES else "unknown"
]
# Finally get the debugger information.
for debuggerName in debuggerPriorities:
debuggerPath = get_debugger_path(debuggerName)
if debuggerPath:
return debuggerName
elif not search == DebuggerSearch.KeepLooking:
return None
return None
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] |
11,769 | mozdebug.mozdebug | get_default_valgrind_args | null | def get_default_valgrind_args():
return [
"--fair-sched=yes",
"--smc-check=all-non-file",
"--vex-iropt-register-updates=allregs-at-mem-access",
"--trace-children=yes",
"--child-silent-after-fork=yes",
(
"--trace-children-skip="
+ "/usr/bin/hg,/bin/rm,*/bin/certutil,*/bin/pk12util,"
+ "*/bin/ssltunnel,*/bin/uname,*/bin/which,*/bin/ps,"
+ "*/bin/grep,*/bin/java,*/bin/lsb_release"
),
] + get_default_valgrind_tool_specific_args()
| () | [
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] |
11,771 | asn1crypto | load_order |
Returns a list of the module and sub-module names for asn1crypto in
dependency load order, for the sake of live reloading code
:return:
A list of unicode strings of module names, as they would appear in
sys.modules, ordered by which module should be reloaded first
| def load_order():
"""
Returns a list of the module and sub-module names for asn1crypto in
dependency load order, for the sake of live reloading code
:return:
A list of unicode strings of module names, as they would appear in
sys.modules, ordered by which module should be reloaded first
"""
return [
'asn1crypto._errors',
'asn1crypto._int',
'asn1crypto._ordereddict',
'asn1crypto._teletex_codec',
'asn1crypto._types',
'asn1crypto._inet',
'asn1crypto._iri',
'asn1crypto.version',
'asn1crypto.pem',
'asn1crypto.util',
'asn1crypto.parser',
'asn1crypto.core',
'asn1crypto.algos',
'asn1crypto.keys',
'asn1crypto.x509',
'asn1crypto.crl',
'asn1crypto.csr',
'asn1crypto.ocsp',
'asn1crypto.cms',
'asn1crypto.pdf',
'asn1crypto.pkcs12',
'asn1crypto.tsp',
'asn1crypto',
]
| () | [
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] |
11,773 | kpush | KPush | null | class KPush(object):
domain = None
appkey = None
appsecret = None
def __init__(self, domain, appkey, appsecret):
self.domain = domain
self.appkey = appkey
self.appsecret = appsecret
def push(self, title, content, query, silent=False):
"""
推送
:param title: 标题
:param content: 内容
:param query: 字典格式
all: True 代表所有人，其他字段即无效
alias: 为None代表不过滤
tags_or: [
["x", "y", "z"],
["a", "b", "c"],
]
:param silent:
:return:
"""
url = 'http://%s/api/push' % self.domain
body = self.pack_data(dict(
title=safe_str(title),
content=safe_str(content),
query=query,
silent=silent
))
rsp = requests.post(url, body)
if not rsp.ok:
return -1, 'status code: %s' % rsp.status_code
return rsp.json()['ret'], rsp.json().get('error')
def pack_data(self, json_data):
"""
:param json_data:
:return:
"""
if json_data is None:
return ""
data = json.dumps(json_data)
sign = hashlib.md5('|'.join([self.appsecret, self.appkey, data])).hexdigest()
return json.dumps(dict(
appkey=self.appkey,
data=data,
sign=sign,
))
| (domain, appkey, appsecret) | [
-0.01852763071656227,
-0.05686325579881668,
-0.10280575603246689,
0.008468294516205788,
0.018612360581755638,
0.0005257379962131381,
-0.07124853134155273,
0.0002575733815319836,
0.06051606312394142,
-0.04469979181885719,
-0.0025960335042327642,
-0.015289060771465302,
0.00641594547778368,
0.007235002238303423,
-0.0544155016541481,
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0.04654502496123314,
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0.07279250025749207,
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0.016211677342653275,
0.009951069951057434,
0.06465841829776764,
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0.05080035328865051,
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0.0033468357287347317,
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0.028073878958821297,
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0.057729385793209076,
0.06699319928884506,
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0.03585021197795868,
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0.008421222679316998,
0.007018469739705324,
0.008670705370604992,
0.02792324870824814,
-0.033345967531204224,
-0.03620796278119087,
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11,774 | kpush | __init__ | null | def __init__(self, domain, appkey, appsecret):
self.domain = domain
self.appkey = appkey
self.appsecret = appsecret
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] |
11,775 | kpush | pack_data |
:param json_data:
:return:
| def pack_data(self, json_data):
"""
:param json_data:
:return:
"""
if json_data is None:
return ""
data = json.dumps(json_data)
sign = hashlib.md5('|'.join([self.appsecret, self.appkey, data])).hexdigest()
return json.dumps(dict(
appkey=self.appkey,
data=data,
sign=sign,
))
| (self, json_data) | [
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] |
11,776 | kpush | push |
推送
:param title: 标题
:param content: 内容
:param query: 字典格式
all: True 代表所有人，其他字段即无效
alias: 为None代表不过滤
tags_or: [
["x", "y", "z"],
["a", "b", "c"],
]
:param silent:
:return:
| def push(self, title, content, query, silent=False):
"""
推送
:param title: 标题
:param content: 内容
:param query: 字典格式
all: True 代表所有人，其他字段即无效
alias: 为None代表不过滤
tags_or: [
["x", "y", "z"],
["a", "b", "c"],
]
:param silent:
:return:
"""
url = 'http://%s/api/push' % self.domain
body = self.pack_data(dict(
title=safe_str(title),
content=safe_str(content),
query=query,
silent=silent
))
rsp = requests.post(url, body)
if not rsp.ok:
return -1, 'status code: %s' % rsp.status_code
return rsp.json()['ret'], rsp.json().get('error')
| (self, title, content, query, silent=False) | [
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11,780 | kpush | safe_str | null | def safe_str(src):
if isinstance(src, unicode):
return src.encode('utf8')
return str(src)
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11,784 | htmldate.core | find_date |
Extract dates from HTML documents using markup analysis and text patterns
:param htmlobject:
Two possibilities: 1. HTML document (e.g. body of HTTP request or .html-file) in text string
form or LXML parsed tree or 2. URL string (gets detected automatically)
:type htmlobject: string or lxml tree
:param extensive_search:
Activate pattern-based opportunistic text search
:type extensive_search: boolean
:param original_date:
Look for original date (e.g. publication date) instead of most recent
one (e.g. last modified, updated time)
:type original_date: boolean
:param outputformat:
Provide a valid datetime format for the returned string
(see datetime.strftime())
:type outputformat: string
:param url:
Provide an URL manually for pattern-searching in URL
(in some cases much faster)
:type url: string
:param verbose:
Set verbosity level for debugging
:type verbose: boolean
:param min_date:
Set the earliest acceptable date manually (ISO 8601 YMD format)
:type min_date: datetime, string
:param max_date:
Set the latest acceptable date manually (ISO 8601 YMD format)
:type max_date: datetime, string
:param deferred_url_extractor:
Use url extractor as backup only to prioritize full expressions,
e.g. of the type `%Y-%m-%d %H:%M:%S`
:type deferred_url_extractor: boolean
:return: Returns a valid date expression as a string, or None
| def find_date(
htmlobject: Union[bytes, str, HtmlElement],
extensive_search: bool = True,
original_date: bool = False,
outputformat: str = "%Y-%m-%d",
url: Optional[str] = None,
verbose: bool = False,
min_date: Optional[Union[datetime, str]] = None,
max_date: Optional[Union[datetime, str]] = None,
deferred_url_extractor: bool = False,
) -> Optional[str]:
"""
Extract dates from HTML documents using markup analysis and text patterns
:param htmlobject:
Two possibilities: 1. HTML document (e.g. body of HTTP request or .html-file) in text string
form or LXML parsed tree or 2. URL string (gets detected automatically)
:type htmlobject: string or lxml tree
:param extensive_search:
Activate pattern-based opportunistic text search
:type extensive_search: boolean
:param original_date:
Look for original date (e.g. publication date) instead of most recent
one (e.g. last modified, updated time)
:type original_date: boolean
:param outputformat:
Provide a valid datetime format for the returned string
(see datetime.strftime())
:type outputformat: string
:param url:
Provide an URL manually for pattern-searching in URL
(in some cases much faster)
:type url: string
:param verbose:
Set verbosity level for debugging
:type verbose: boolean
:param min_date:
Set the earliest acceptable date manually (ISO 8601 YMD format)
:type min_date: datetime, string
:param max_date:
Set the latest acceptable date manually (ISO 8601 YMD format)
:type max_date: datetime, string
:param deferred_url_extractor:
Use url extractor as backup only to prioritize full expressions,
e.g. of the type `%Y-%m-%d %H:%M:%S`
:type deferred_url_extractor: boolean
:return: Returns a valid date expression as a string, or None
"""
# init
if verbose:
logging.basicConfig(level=logging.DEBUG)
tree = load_html(htmlobject)
# safeguards
if tree is None:
return None
if outputformat != "%Y-%m-%d" and not is_valid_format(outputformat):
return None
# define options and time boundaries
options = Extractor(
extensive_search,
get_max_date(max_date),
get_min_date(min_date),
original_date,
outputformat,
)
# unclear what this line is for and it impedes type checking:
# find_date.extensive_search = extensive_search
# URL
url_result = None
if url is None:
# probe for canonical links
urlelem = tree.find('.//link[@rel="canonical"]')
if urlelem is not None:
url = urlelem.get("href")
# direct processing of URL info
url_result = extract_url_date(url, options)
if url_result is not None and not deferred_url_extractor:
return url_result
# first try header
# then try to use JSON data
result = examine_header(tree, options) or json_search(tree, options)
if result is not None:
return result
# deferred processing of URL info (may be moved even further down if necessary)
if deferred_url_extractor and url_result is not None:
return url_result
# try abbr elements
abbr_result = examine_abbr_elements(
tree,
options,
)
if abbr_result is not None:
return abbr_result
# first, prune tree
try:
search_tree, discarded = discard_unwanted(
clean_html(deepcopy(tree), CLEANING_LIST)
)
# rare LXML error: no NULL bytes or control characters
except ValueError: # pragma: no cover
search_tree = tree
LOGGER.error("lxml cleaner error")
# define expressions + text_content
if extensive_search:
date_expr = SLOW_PREPEND + DATE_EXPRESSIONS
else:
date_expr = FAST_PREPEND + DATE_EXPRESSIONS
# then look for expressions
# and try time elements
result = (
examine_date_elements(
search_tree,
date_expr,
options,
)
or examine_date_elements(
search_tree,
".//title|.//h1",
options,
)
or examine_time_elements(search_tree, options)
)
if result is not None:
return result
# TODO: decide on this
# search in discarded parts (e.g. archive.org-banner)
# for subtree in discarded:
# dateresult = examine_date_elements(subtree, DATE_EXPRESSIONS, options)
# if dateresult is not None:
# return dateresult
# robust conversion to string
try:
htmlstring = tostring(search_tree, pretty_print=False, encoding="unicode")
except UnicodeDecodeError:
htmlstring = tostring(search_tree, pretty_print=False).decode("utf-8", "ignore")
# date regex timestamp rescue
# try image elements
# precise patterns and idiosyncrasies
result = (
pattern_search(htmlstring, TIMESTAMP_PATTERN, options)
or img_search(search_tree, options)
or idiosyncrasies_search(htmlstring, options)
)
if result is not None:
return result
# last resort
if extensive_search:
LOGGER.debug("extensive search started")
# TODO: further tests & decide according to original_date
reference = 0
for segment in FREE_TEXT_EXPRESSIONS(search_tree):
segment = segment.strip()
if not MIN_SEGMENT_LEN < len(segment) < MAX_SEGMENT_LEN:
continue
reference = compare_reference(reference, segment, options)
converted = check_extracted_reference(reference, options)
# return or search page HTML
return converted or search_page(htmlstring, options)
return None
| (htmlobject: Union[bytes, str, lxml.html.HtmlElement], extensive_search: bool = True, original_date: bool = False, outputformat: str = '%Y-%m-%d', url: Optional[str] = None, verbose: bool = False, min_date: Union[datetime.datetime, str, NoneType] = None, max_date: Union[datetime.datetime, str, NoneType] = None, deferred_url_extractor: bool = False) -> Optional[str] | [
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11,789 | ipyleaflet.leaflet | AntPath | AntPath class, with VectorLayer as parent class.
AntPath layer.
Attributes
----------
locations: list, default []
Locations through which the ant-path is going.
use: string, default 'polyline'
Type of shape to use for the ant-path. Possible values are 'polyline', 'polygon',
'rectangle' and 'circle'.
delay: int, default 400
Add a delay to the animation flux.
weight: int, default 5
Weight of the ant-path.
dash_array: list, default [10, 20]
The sizes of the animated dashes.
color: CSS color, default '#0000FF'
The color of the primary dashes.
pulse_color: CSS color, default '#FFFFFF'
The color of the secondary dashes.
paused: boolean, default False
Whether the animation is running or not.
reverse: boolean, default False
Whether the animation is going backwards or not.
hardware_accelerated: boolean, default False
Whether the ant-path uses hardware acceleration.
radius: int, default 10
Radius of the circle, if use is set to ‘circle’
| class AntPath(VectorLayer):
"""AntPath class, with VectorLayer as parent class.
AntPath layer.
Attributes
----------
locations: list, default []
Locations through which the ant-path is going.
use: string, default 'polyline'
Type of shape to use for the ant-path. Possible values are 'polyline', 'polygon',
'rectangle' and 'circle'.
delay: int, default 400
Add a delay to the animation flux.
weight: int, default 5
Weight of the ant-path.
dash_array: list, default [10, 20]
The sizes of the animated dashes.
color: CSS color, default '#0000FF'
The color of the primary dashes.
pulse_color: CSS color, default '#FFFFFF'
The color of the secondary dashes.
paused: boolean, default False
Whether the animation is running or not.
reverse: boolean, default False
Whether the animation is going backwards or not.
hardware_accelerated: boolean, default False
Whether the ant-path uses hardware acceleration.
radius: int, default 10
Radius of the circle, if use is set to ‘circle’
"""
_view_name = Unicode("LeafletAntPathView").tag(sync=True)
_model_name = Unicode("LeafletAntPathModel").tag(sync=True)
locations = List().tag(sync=True)
# Options
use = Enum(
values=["polyline", "polygon", "rectangle", "circle"], default_value="polyline"
).tag(sync=True, o=True)
delay = Int(400).tag(sync=True, o=True)
weight = Int(5).tag(sync=True, o=True)
dash_array = List([10, 20]).tag(sync=True, o=True)
color = Color("#0000FF").tag(sync=True, o=True)
pulse_color = Color("#FFFFFF").tag(sync=True, o=True)
paused = Bool(False).tag(sync=True, o=True)
reverse = Bool(False).tag(sync=True, o=True)
hardware_accelerated = Bool(False).tag(sync=True, o=True)
radius = Int(10).tag(sync=True, o=True)
| (*args: 't.Any', **kwargs: 't.Any') -> 't.Any' | [
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11,790 | ipywidgets.widgets.widget | __copy__ | null | def __copy__(self):
raise NotImplementedError("Widgets cannot be copied; custom implementation required")
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11,791 | ipywidgets.widgets.widget | __deepcopy__ | null | def __deepcopy__(self, memo):
raise NotImplementedError("Widgets cannot be copied; custom implementation required")
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11,792 | ipywidgets.widgets.widget | __del__ | Object disposal | def __del__(self):
"""Object disposal"""
self.close()
| (self) | [
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11,793 | traitlets.traitlets | __getstate__ | null | def __getstate__(self) -> dict[str, t.Any]:
d = self.__dict__.copy()
# event handlers stored on an instance are
# expected to be reinstantiated during a
# recall of instance_init during __setstate__
d["_trait_notifiers"] = {}
d["_trait_validators"] = {}
d["_trait_values"] = self._trait_values.copy()
d["_cross_validation_lock"] = False # FIXME: raise if cloning locked!
return d
| (self) -> dict[str, typing.Any] | [
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11,794 | ipyleaflet.leaflet | __init__ | null | def __init__(self, **kwargs):
super(Layer, self).__init__(**kwargs)
self.on_msg(self._handle_mouse_events)
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11,795 | traitlets.traitlets | __new__ | null | def __new__(*args: t.Any, **kwargs: t.Any) -> t.Any:
# Pass cls as args[0] to allow "cls" as keyword argument
cls = args[0]
args = args[1:]
# This is needed because object.__new__ only accepts
# the cls argument.
new_meth = super(HasDescriptors, cls).__new__
if new_meth is object.__new__:
inst = new_meth(cls)
else:
inst = new_meth(cls, *args, **kwargs)
inst.setup_instance(*args, **kwargs)
return inst
| (*args: Any, **kwargs: Any) -> Any | [
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11,796 | ipywidgets.widgets.widget | __repr__ | null | def __repr__(self):
return self._gen_repr_from_keys(self._repr_keys())
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11,797 | traitlets.traitlets | __setstate__ | null | def __setstate__(self, state: dict[str, t.Any]) -> None:
self.__dict__ = state.copy()
# event handlers are reassigned to self
cls = self.__class__
for key in dir(cls):
# Some descriptors raise AttributeError like zope.interface's
# __provides__ attributes even though they exist. This causes
# AttributeErrors even though they are listed in dir(cls).
try:
value = getattr(cls, key)
except AttributeError:
pass
else:
if isinstance(value, EventHandler):
value.instance_init(self)
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11,798 | traitlets.traitlets | _add_notifiers | null | def _add_notifiers(
self, handler: t.Callable[..., t.Any], name: Sentinel | str, type: str | Sentinel
) -> None:
if name not in self._trait_notifiers:
nlist: list[t.Any] = []
self._trait_notifiers[name] = {type: nlist}
else:
if type not in self._trait_notifiers[name]:
nlist = []
self._trait_notifiers[name][type] = nlist
else:
nlist = self._trait_notifiers[name][type]
if handler not in nlist:
nlist.append(handler)
| (self, handler: Callable[..., Any], name: traitlets.utils.sentinel.Sentinel | str, type: str | traitlets.utils.sentinel.Sentinel) -> NoneType | [
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