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ppinard/matplotlib-colorbar
|
matplotlib_colorbar/colorbar.py
|
ColorbarCalculator.calculate_colorbar
|
def calculate_colorbar(self):
"""
Returns the positions and colors of all intervals inside the colorbar.
"""
self._base._process_values()
self._base._find_range()
X, Y = self._base._mesh()
C = self._base._values[:, np.newaxis]
return X, Y, C
|
python
|
def calculate_colorbar(self):
"""
Returns the positions and colors of all intervals inside the colorbar.
"""
self._base._process_values()
self._base._find_range()
X, Y = self._base._mesh()
C = self._base._values[:, np.newaxis]
return X, Y, C
|
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train
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https://github.com/ppinard/matplotlib-colorbar/blob/d53748c54dd18ba5183bff8da3f11cfd107282e6/matplotlib_colorbar/colorbar.py#L152-L160
|
ppinard/matplotlib-colorbar
|
matplotlib_colorbar/colorbar.py
|
ColorbarCalculator.calculate_ticks
|
def calculate_ticks(self):
"""
Returns the sequence of ticks (colorbar data locations),
ticklabels (strings), and the corresponding offset string.
"""
current_version = packaging.version.parse(matplotlib.__version__)
critical_version = packaging.version.parse('3.0.0')
if current_version > critical_version:
locator, formatter = self._base._get_ticker_locator_formatter()
return self._base._ticker(locator, formatter)
else:
return self._base._ticker()
|
python
|
def calculate_ticks(self):
"""
Returns the sequence of ticks (colorbar data locations),
ticklabels (strings), and the corresponding offset string.
"""
current_version = packaging.version.parse(matplotlib.__version__)
critical_version = packaging.version.parse('3.0.0')
if current_version > critical_version:
locator, formatter = self._base._get_ticker_locator_formatter()
return self._base._ticker(locator, formatter)
else:
return self._base._ticker()
|
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|
aheadley/python-crunchyroll
|
crunchyroll/apis/scraper.py
|
ScraperApi.get_media_formats
|
def get_media_formats(self, media_id):
"""CR doesn't seem to provide the video_format and video_quality params
through any of the APIs so we have to scrape the video page
"""
url = (SCRAPER.API_URL + 'media-' + media_id).format(
protocol=SCRAPER.PROTOCOL_INSECURE)
format_pattern = re.compile(SCRAPER.VIDEO.FORMAT_PATTERN)
formats = {}
for format, param in iteritems(SCRAPER.VIDEO.FORMAT_PARAMS):
resp = self._connector.get(url, params={param: '1'})
if not resp.ok:
continue
try:
match = format_pattern.search(resp.content)
except TypeError:
match = format_pattern.search(resp.text)
if match:
formats[format] = (int(match.group(1)), int(match.group(2)))
return formats
|
python
|
def get_media_formats(self, media_id):
"""CR doesn't seem to provide the video_format and video_quality params
through any of the APIs so we have to scrape the video page
"""
url = (SCRAPER.API_URL + 'media-' + media_id).format(
protocol=SCRAPER.PROTOCOL_INSECURE)
format_pattern = re.compile(SCRAPER.VIDEO.FORMAT_PATTERN)
formats = {}
for format, param in iteritems(SCRAPER.VIDEO.FORMAT_PARAMS):
resp = self._connector.get(url, params={param: '1'})
if not resp.ok:
continue
try:
match = format_pattern.search(resp.content)
except TypeError:
match = format_pattern.search(resp.text)
if match:
formats[format] = (int(match.group(1)), int(match.group(2)))
return formats
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train
|
https://github.com/aheadley/python-crunchyroll/blob/9bf2eb644f0d0f3e9dc21b95b8e355c6e2050178/crunchyroll/apis/scraper.py#L34-L53
|
vberlier/nbtlib
|
nbtlib/literal/parser.py
|
parse_nbt
|
def parse_nbt(literal):
"""Parse a literal nbt string and return the resulting tag."""
parser = Parser(tokenize(literal))
tag = parser.parse()
cursor = parser.token_span[1]
leftover = literal[cursor:]
if leftover.strip():
parser.token_span = cursor, cursor + len(leftover)
raise parser.error(f'Expected end of string but got {leftover!r}')
return tag
|
python
|
def parse_nbt(literal):
"""Parse a literal nbt string and return the resulting tag."""
parser = Parser(tokenize(literal))
tag = parser.parse()
cursor = parser.token_span[1]
leftover = literal[cursor:]
if leftover.strip():
parser.token_span = cursor, cursor + len(leftover)
raise parser.error(f'Expected end of string but got {leftover!r}')
return tag
|
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train
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https://github.com/vberlier/nbtlib/blob/9c9d58b5c4a530b0f1ffd76dda176f00406c3547/nbtlib/literal/parser.py#L85-L96
|
vberlier/nbtlib
|
nbtlib/literal/parser.py
|
tokenize
|
def tokenize(string):
"""Match and yield all the tokens of the input string."""
for match in TOKENS_REGEX.finditer(string):
yield Token(match.lastgroup, match.group().strip(), match.span())
|
python
|
def tokenize(string):
"""Match and yield all the tokens of the input string."""
for match in TOKENS_REGEX.finditer(string):
yield Token(match.lastgroup, match.group().strip(), match.span())
|
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train
|
https://github.com/vberlier/nbtlib/blob/9c9d58b5c4a530b0f1ffd76dda176f00406c3547/nbtlib/literal/parser.py#L104-L107
|
vberlier/nbtlib
|
nbtlib/literal/parser.py
|
Parser.next
|
def next(self):
"""Move to the next token in the token stream."""
self.current_token = next(self.token_stream, None)
if self.current_token is None:
self.token_span = self.token_span[1], self.token_span[1]
raise self.error('Unexpected end of input')
self.token_span = self.current_token.span
return self
|
python
|
def next(self):
"""Move to the next token in the token stream."""
self.current_token = next(self.token_stream, None)
if self.current_token is None:
self.token_span = self.token_span[1], self.token_span[1]
raise self.error('Unexpected end of input')
self.token_span = self.current_token.span
return self
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train
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https://github.com/vberlier/nbtlib/blob/9c9d58b5c4a530b0f1ffd76dda176f00406c3547/nbtlib/literal/parser.py#L133-L140
|
vberlier/nbtlib
|
nbtlib/literal/parser.py
|
Parser.parse
|
def parse(self):
"""Parse and return an nbt literal from the token stream."""
token_type = self.current_token.type.lower()
handler = getattr(self, f'parse_{token_type}', None)
if handler is None:
raise self.error(f'Invalid literal {self.current_token.value!r}')
return handler()
|
python
|
def parse(self):
"""Parse and return an nbt literal from the token stream."""
token_type = self.current_token.type.lower()
handler = getattr(self, f'parse_{token_type}', None)
if handler is None:
raise self.error(f'Invalid literal {self.current_token.value!r}')
return handler()
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https://github.com/vberlier/nbtlib/blob/9c9d58b5c4a530b0f1ffd76dda176f00406c3547/nbtlib/literal/parser.py#L142-L148
|
vberlier/nbtlib
|
nbtlib/literal/parser.py
|
Parser.parse_number
|
def parse_number(self):
"""Parse a number from the token stream."""
value = self.current_token.value
suffix = value[-1].lower()
try:
if suffix in NUMBER_SUFFIXES:
return NUMBER_SUFFIXES[suffix](value[:-1])
return Double(value) if '.' in value else Int(value)
except (OutOfRange, ValueError):
return String(value)
|
python
|
def parse_number(self):
"""Parse a number from the token stream."""
value = self.current_token.value
suffix = value[-1].lower()
try:
if suffix in NUMBER_SUFFIXES:
return NUMBER_SUFFIXES[suffix](value[:-1])
return Double(value) if '.' in value else Int(value)
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return String(value)
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https://github.com/vberlier/nbtlib/blob/9c9d58b5c4a530b0f1ffd76dda176f00406c3547/nbtlib/literal/parser.py#L154-L164
|
vberlier/nbtlib
|
nbtlib/literal/parser.py
|
Parser.parse_string
|
def parse_string(self):
"""Parse a regular unquoted string from the token stream."""
aliased_value = LITERAL_ALIASES.get(self.current_token.value.lower())
if aliased_value is not None:
return aliased_value
return String(self.current_token.value)
|
python
|
def parse_string(self):
"""Parse a regular unquoted string from the token stream."""
aliased_value = LITERAL_ALIASES.get(self.current_token.value.lower())
if aliased_value is not None:
return aliased_value
return String(self.current_token.value)
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train
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https://github.com/vberlier/nbtlib/blob/9c9d58b5c4a530b0f1ffd76dda176f00406c3547/nbtlib/literal/parser.py#L166-L171
|
vberlier/nbtlib
|
nbtlib/literal/parser.py
|
Parser.collect_tokens_until
|
def collect_tokens_until(self, token_type):
"""Yield the item tokens in a comma-separated tag collection."""
self.next()
if self.current_token.type == token_type:
return
while True:
yield self.current_token
self.next()
if self.current_token.type == token_type:
return
if self.current_token.type != 'COMMA':
raise self.error(f'Expected comma but got '
f'{self.current_token.value!r}')
self.next()
|
python
|
def collect_tokens_until(self, token_type):
"""Yield the item tokens in a comma-separated tag collection."""
self.next()
if self.current_token.type == token_type:
return
while True:
yield self.current_token
self.next()
if self.current_token.type == token_type:
return
if self.current_token.type != 'COMMA':
raise self.error(f'Expected comma but got '
f'{self.current_token.value!r}')
self.next()
|
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train
|
https://github.com/vberlier/nbtlib/blob/9c9d58b5c4a530b0f1ffd76dda176f00406c3547/nbtlib/literal/parser.py#L173-L189
|
vberlier/nbtlib
|
nbtlib/literal/parser.py
|
Parser.parse_compound
|
def parse_compound(self):
"""Parse a compound from the token stream."""
compound_tag = Compound()
for token in self.collect_tokens_until('CLOSE_COMPOUND'):
item_key = token.value
if token.type not in ('NUMBER', 'STRING', 'QUOTED_STRING'):
raise self.error(f'Expected compound key but got {item_key!r}')
if token.type == 'QUOTED_STRING':
item_key = self.unquote_string(item_key)
if self.next().current_token.type != 'COLON':
raise self.error(f'Expected colon but got '
f'{self.current_token.value!r}')
self.next()
compound_tag[item_key] = self.parse()
return compound_tag
|
python
|
def parse_compound(self):
"""Parse a compound from the token stream."""
compound_tag = Compound()
for token in self.collect_tokens_until('CLOSE_COMPOUND'):
item_key = token.value
if token.type not in ('NUMBER', 'STRING', 'QUOTED_STRING'):
raise self.error(f'Expected compound key but got {item_key!r}')
if token.type == 'QUOTED_STRING':
item_key = self.unquote_string(item_key)
if self.next().current_token.type != 'COLON':
raise self.error(f'Expected colon but got '
f'{self.current_token.value!r}')
self.next()
compound_tag[item_key] = self.parse()
return compound_tag
|
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Parse a compound from the token stream.
|
[
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] |
train
|
https://github.com/vberlier/nbtlib/blob/9c9d58b5c4a530b0f1ffd76dda176f00406c3547/nbtlib/literal/parser.py#L191-L208
|
vberlier/nbtlib
|
nbtlib/literal/parser.py
|
Parser.array_items
|
def array_items(self, number_type, *, number_suffix=''):
"""Parse and yield array items from the token stream."""
for token in self.collect_tokens_until('CLOSE_BRACKET'):
is_number = token.type == 'NUMBER'
value = token.value.lower()
if not (is_number and value.endswith(number_suffix)):
raise self.error(f'Invalid {number_type} array element '
f'{token.value!r}')
yield int(value.replace(number_suffix, ''))
|
python
|
def array_items(self, number_type, *, number_suffix=''):
"""Parse and yield array items from the token stream."""
for token in self.collect_tokens_until('CLOSE_BRACKET'):
is_number = token.type == 'NUMBER'
value = token.value.lower()
if not (is_number and value.endswith(number_suffix)):
raise self.error(f'Invalid {number_type} array element '
f'{token.value!r}')
yield int(value.replace(number_suffix, ''))
|
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Parse and yield array items from the token stream.
|
[
"Parse",
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"items",
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"stream",
"."
] |
train
|
https://github.com/vberlier/nbtlib/blob/9c9d58b5c4a530b0f1ffd76dda176f00406c3547/nbtlib/literal/parser.py#L210-L218
|
vberlier/nbtlib
|
nbtlib/literal/parser.py
|
Parser.parse_list
|
def parse_list(self):
"""Parse a list from the token stream."""
try:
return List([self.parse() for _ in
self.collect_tokens_until('CLOSE_BRACKET')])
except IncompatibleItemType as exc:
raise self.error(f'Item {str(exc.item)!r} is not a '
f'{exc.subtype.__name__} tag') from None
|
python
|
def parse_list(self):
"""Parse a list from the token stream."""
try:
return List([self.parse() for _ in
self.collect_tokens_until('CLOSE_BRACKET')])
except IncompatibleItemType as exc:
raise self.error(f'Item {str(exc.item)!r} is not a '
f'{exc.subtype.__name__} tag') from None
|
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Parse a list from the token stream.
|
[
"Parse",
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"."
] |
train
|
https://github.com/vberlier/nbtlib/blob/9c9d58b5c4a530b0f1ffd76dda176f00406c3547/nbtlib/literal/parser.py#L232-L239
|
vberlier/nbtlib
|
nbtlib/literal/parser.py
|
Parser.unquote_string
|
def unquote_string(self, string):
"""Return the unquoted value of a quoted string."""
value = string[1:-1]
forbidden_sequences = {ESCAPE_SUBS[STRING_QUOTES[string[0]]]}
valid_sequences = set(ESCAPE_SEQUENCES) - forbidden_sequences
for seq in ESCAPE_REGEX.findall(value):
if seq not in valid_sequences:
raise self.error(f'Invalid escape sequence "{seq}"')
for seq, sub in ESCAPE_SEQUENCES.items():
value = value.replace(seq, sub)
return value
|
python
|
def unquote_string(self, string):
"""Return the unquoted value of a quoted string."""
value = string[1:-1]
forbidden_sequences = {ESCAPE_SUBS[STRING_QUOTES[string[0]]]}
valid_sequences = set(ESCAPE_SEQUENCES) - forbidden_sequences
for seq in ESCAPE_REGEX.findall(value):
if seq not in valid_sequences:
raise self.error(f'Invalid escape sequence "{seq}"')
for seq, sub in ESCAPE_SEQUENCES.items():
value = value.replace(seq, sub)
return value
|
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Return the unquoted value of a quoted string.
|
[
"Return",
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"a",
"quoted",
"string",
"."
] |
train
|
https://github.com/vberlier/nbtlib/blob/9c9d58b5c4a530b0f1ffd76dda176f00406c3547/nbtlib/literal/parser.py#L245-L259
|
tulsawebdevs/django-multi-gtfs
|
multigtfs/compat.py
|
opener_from_zipfile
|
def opener_from_zipfile(zipfile):
"""
Returns a function that will open a file in a zipfile by name.
For Python3 compatibility, the raw file will be converted to text.
"""
def opener(filename):
inner_file = zipfile.open(filename)
if PY3:
from io import TextIOWrapper
return TextIOWrapper(inner_file)
else:
return inner_file
return opener
|
python
|
def opener_from_zipfile(zipfile):
"""
Returns a function that will open a file in a zipfile by name.
For Python3 compatibility, the raw file will be converted to text.
"""
def opener(filename):
inner_file = zipfile.open(filename)
if PY3:
from io import TextIOWrapper
return TextIOWrapper(inner_file)
else:
return inner_file
return opener
|
[
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"(",
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")",
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":",
"return",
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"return",
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] |
Returns a function that will open a file in a zipfile by name.
For Python3 compatibility, the raw file will be converted to text.
|
[
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"function",
"that",
"will",
"open",
"a",
"file",
"in",
"a",
"zipfile",
"by",
"name",
"."
] |
train
|
https://github.com/tulsawebdevs/django-multi-gtfs/blob/8c442bfb67e87566c24a7364d8fa0aacd4a0a652/multigtfs/compat.py#L73-L88
|
tulsawebdevs/django-multi-gtfs
|
multigtfs/compat.py
|
write_text_rows
|
def write_text_rows(writer, rows):
'''Write CSV row data which may include text.'''
for row in rows:
try:
writer.writerow(row)
except UnicodeEncodeError:
# Python 2 csv does badly with unicode outside of ASCII
new_row = []
for item in row:
if isinstance(item, text_type):
new_row.append(item.encode('utf-8'))
else:
new_row.append(item)
writer.writerow(new_row)
|
python
|
def write_text_rows(writer, rows):
'''Write CSV row data which may include text.'''
for row in rows:
try:
writer.writerow(row)
except UnicodeEncodeError:
# Python 2 csv does badly with unicode outside of ASCII
new_row = []
for item in row:
if isinstance(item, text_type):
new_row.append(item.encode('utf-8'))
else:
new_row.append(item)
writer.writerow(new_row)
|
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|
[
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"."
] |
train
|
https://github.com/tulsawebdevs/django-multi-gtfs/blob/8c442bfb67e87566c24a7364d8fa0aacd4a0a652/multigtfs/compat.py#L91-L104
|
vberlier/nbtlib
|
nbtlib/literal/serializer.py
|
serialize_tag
|
def serialize_tag(tag, *, indent=None, compact=False, quote=None):
"""Serialize an nbt tag to its literal representation."""
serializer = Serializer(indent=indent, compact=compact, quote=quote)
return serializer.serialize(tag)
|
python
|
def serialize_tag(tag, *, indent=None, compact=False, quote=None):
"""Serialize an nbt tag to its literal representation."""
serializer = Serializer(indent=indent, compact=compact, quote=quote)
return serializer.serialize(tag)
|
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] |
Serialize an nbt tag to its literal representation.
|
[
"Serialize",
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"literal",
"representation",
"."
] |
train
|
https://github.com/vberlier/nbtlib/blob/9c9d58b5c4a530b0f1ffd76dda176f00406c3547/nbtlib/literal/serializer.py#L48-L51
|
vberlier/nbtlib
|
nbtlib/literal/serializer.py
|
Serializer.depth
|
def depth(self):
"""Increase the level of indentation by one."""
if self.indentation is None:
yield
else:
previous = self.previous_indent
self.previous_indent = self.indent
self.indent += self.indentation
yield
self.indent = self.previous_indent
self.previous_indent = previous
|
python
|
def depth(self):
"""Increase the level of indentation by one."""
if self.indentation is None:
yield
else:
previous = self.previous_indent
self.previous_indent = self.indent
self.indent += self.indentation
yield
self.indent = self.previous_indent
self.previous_indent = previous
|
[
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] |
Increase the level of indentation by one.
|
[
"Increase",
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"."
] |
train
|
https://github.com/vberlier/nbtlib/blob/9c9d58b5c4a530b0f1ffd76dda176f00406c3547/nbtlib/literal/serializer.py#L71-L81
|
vberlier/nbtlib
|
nbtlib/literal/serializer.py
|
Serializer.should_expand
|
def should_expand(self, tag):
"""Return whether the specified tag should be expanded."""
return self.indentation is not None and tag and (
not self.previous_indent or (
tag.serializer == 'list'
and tag.subtype.serializer in ('array', 'list', 'compound')
) or (
tag.serializer == 'compound'
)
)
|
python
|
def should_expand(self, tag):
"""Return whether the specified tag should be expanded."""
return self.indentation is not None and tag and (
not self.previous_indent or (
tag.serializer == 'list'
and tag.subtype.serializer in ('array', 'list', 'compound')
) or (
tag.serializer == 'compound'
)
)
|
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Return whether the specified tag should be expanded.
|
[
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"."
] |
train
|
https://github.com/vberlier/nbtlib/blob/9c9d58b5c4a530b0f1ffd76dda176f00406c3547/nbtlib/literal/serializer.py#L83-L92
|
vberlier/nbtlib
|
nbtlib/literal/serializer.py
|
Serializer.escape_string
|
def escape_string(self, string):
"""Return the escaped literal representation of an nbt string."""
if self.quote:
quote = self.quote
else:
found = QUOTE_REGEX.search(string)
quote = STRING_QUOTES[found.group()] if found else next(iter(STRING_QUOTES))
for match, seq in ESCAPE_SUBS.items():
if match == quote or match not in STRING_QUOTES:
string = string.replace(match, seq)
return f'{quote}{string}{quote}'
|
python
|
def escape_string(self, string):
"""Return the escaped literal representation of an nbt string."""
if self.quote:
quote = self.quote
else:
found = QUOTE_REGEX.search(string)
quote = STRING_QUOTES[found.group()] if found else next(iter(STRING_QUOTES))
for match, seq in ESCAPE_SUBS.items():
if match == quote or match not in STRING_QUOTES:
string = string.replace(match, seq)
return f'{quote}{string}{quote}'
|
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Return the escaped literal representation of an nbt string.
|
[
"Return",
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"literal",
"representation",
"of",
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"string",
"."
] |
train
|
https://github.com/vberlier/nbtlib/blob/9c9d58b5c4a530b0f1ffd76dda176f00406c3547/nbtlib/literal/serializer.py#L101-L113
|
vberlier/nbtlib
|
nbtlib/literal/serializer.py
|
Serializer.stringify_compound_key
|
def stringify_compound_key(self, key):
"""Escape the compound key if it can't be represented unquoted."""
if UNQUOTED_COMPOUND_KEY.match(key):
return key
return self.escape_string(key)
|
python
|
def stringify_compound_key(self, key):
"""Escape the compound key if it can't be represented unquoted."""
if UNQUOTED_COMPOUND_KEY.match(key):
return key
return self.escape_string(key)
|
[
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":",
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"UNQUOTED_COMPOUND_KEY",
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"(",
"key",
")",
":",
"return",
"key",
"return",
"self",
".",
"escape_string",
"(",
"key",
")"
] |
Escape the compound key if it can't be represented unquoted.
|
[
"Escape",
"the",
"compound",
"key",
"if",
"it",
"can",
"t",
"be",
"represented",
"unquoted",
"."
] |
train
|
https://github.com/vberlier/nbtlib/blob/9c9d58b5c4a530b0f1ffd76dda176f00406c3547/nbtlib/literal/serializer.py#L115-L119
|
vberlier/nbtlib
|
nbtlib/literal/serializer.py
|
Serializer.serialize
|
def serialize(self, tag):
"""Return the literal representation of a tag."""
handler = getattr(self, f'serialize_{tag.serializer}', None)
if handler is None:
raise TypeError(f'Can\'t serialize {type(tag)!r} instance')
return handler(tag)
|
python
|
def serialize(self, tag):
"""Return the literal representation of a tag."""
handler = getattr(self, f'serialize_{tag.serializer}', None)
if handler is None:
raise TypeError(f'Can\'t serialize {type(tag)!r} instance')
return handler(tag)
|
[
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"self",
",",
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Return the literal representation of a tag.
|
[
"Return",
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"."
] |
train
|
https://github.com/vberlier/nbtlib/blob/9c9d58b5c4a530b0f1ffd76dda176f00406c3547/nbtlib/literal/serializer.py#L121-L126
|
vberlier/nbtlib
|
nbtlib/literal/serializer.py
|
Serializer.serialize_numeric
|
def serialize_numeric(self, tag):
"""Return the literal representation of a numeric tag."""
str_func = int.__str__ if isinstance(tag, int) else float.__str__
return str_func(tag) + tag.suffix
|
python
|
def serialize_numeric(self, tag):
"""Return the literal representation of a numeric tag."""
str_func = int.__str__ if isinstance(tag, int) else float.__str__
return str_func(tag) + tag.suffix
|
[
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Return the literal representation of a numeric tag.
|
[
"Return",
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"."
] |
train
|
https://github.com/vberlier/nbtlib/blob/9c9d58b5c4a530b0f1ffd76dda176f00406c3547/nbtlib/literal/serializer.py#L128-L131
|
vberlier/nbtlib
|
nbtlib/literal/serializer.py
|
Serializer.serialize_array
|
def serialize_array(self, tag):
"""Return the literal representation of an array tag."""
elements = self.comma.join(f'{el}{tag.item_suffix}' for el in tag)
return f'[{tag.array_prefix}{self.semicolon}{elements}]'
|
python
|
def serialize_array(self, tag):
"""Return the literal representation of an array tag."""
elements = self.comma.join(f'{el}{tag.item_suffix}' for el in tag)
return f'[{tag.array_prefix}{self.semicolon}{elements}]'
|
[
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"return",
"f'[{tag.array_prefix}{self.semicolon}{elements}]'"
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Return the literal representation of an array tag.
|
[
"Return",
"the",
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"representation",
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"tag",
"."
] |
train
|
https://github.com/vberlier/nbtlib/blob/9c9d58b5c4a530b0f1ffd76dda176f00406c3547/nbtlib/literal/serializer.py#L133-L136
|
vberlier/nbtlib
|
nbtlib/literal/serializer.py
|
Serializer.serialize_list
|
def serialize_list(self, tag):
"""Return the literal representation of a list tag."""
separator, fmt = self.comma, '[{}]'
with self.depth():
if self.should_expand(tag):
separator, fmt = self.expand(separator, fmt)
return fmt.format(separator.join(map(self.serialize, tag)))
|
python
|
def serialize_list(self, tag):
"""Return the literal representation of a list tag."""
separator, fmt = self.comma, '[{}]'
with self.depth():
if self.should_expand(tag):
separator, fmt = self.expand(separator, fmt)
return fmt.format(separator.join(map(self.serialize, tag)))
|
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Return the literal representation of a list tag.
|
[
"Return",
"the",
"literal",
"representation",
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"tag",
"."
] |
train
|
https://github.com/vberlier/nbtlib/blob/9c9d58b5c4a530b0f1ffd76dda176f00406c3547/nbtlib/literal/serializer.py#L142-L150
|
vberlier/nbtlib
|
nbtlib/literal/serializer.py
|
Serializer.serialize_compound
|
def serialize_compound(self, tag):
"""Return the literal representation of a compound tag."""
separator, fmt = self.comma, '{{{}}}'
with self.depth():
if self.should_expand(tag):
separator, fmt = self.expand(separator, fmt)
return fmt.format(separator.join(
f'{self.stringify_compound_key(key)}{self.colon}{self.serialize(value)}'
for key, value in tag.items()
))
|
python
|
def serialize_compound(self, tag):
"""Return the literal representation of a compound tag."""
separator, fmt = self.comma, '{{{}}}'
with self.depth():
if self.should_expand(tag):
separator, fmt = self.expand(separator, fmt)
return fmt.format(separator.join(
f'{self.stringify_compound_key(key)}{self.colon}{self.serialize(value)}'
for key, value in tag.items()
))
|
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Return the literal representation of a compound tag.
|
[
"Return",
"the",
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"representation",
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"a",
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] |
train
|
https://github.com/vberlier/nbtlib/blob/9c9d58b5c4a530b0f1ffd76dda176f00406c3547/nbtlib/literal/serializer.py#L152-L163
|
tulsawebdevs/django-multi-gtfs
|
multigtfs/models/base.py
|
BaseQuerySet.populated_column_map
|
def populated_column_map(self):
'''Return the _column_map without unused optional fields'''
column_map = []
cls = self.model
for csv_name, field_pattern in cls._column_map:
# Separate the local field name from foreign columns
if '__' in field_pattern:
field_name = field_pattern.split('__', 1)[0]
else:
field_name = field_pattern
# Handle point fields
point_match = re_point.match(field_name)
if point_match:
field = None
else:
field = cls._meta.get_field(field_name)
# Only add optional columns if they are used in the records
if field and field.blank and not field.has_default():
kwargs = {field_name: get_blank_value(field)}
if self.exclude(**kwargs).exists():
column_map.append((csv_name, field_pattern))
else:
column_map.append((csv_name, field_pattern))
return column_map
|
python
|
def populated_column_map(self):
'''Return the _column_map without unused optional fields'''
column_map = []
cls = self.model
for csv_name, field_pattern in cls._column_map:
# Separate the local field name from foreign columns
if '__' in field_pattern:
field_name = field_pattern.split('__', 1)[0]
else:
field_name = field_pattern
# Handle point fields
point_match = re_point.match(field_name)
if point_match:
field = None
else:
field = cls._meta.get_field(field_name)
# Only add optional columns if they are used in the records
if field and field.blank and not field.has_default():
kwargs = {field_name: get_blank_value(field)}
if self.exclude(**kwargs).exists():
column_map.append((csv_name, field_pattern))
else:
column_map.append((csv_name, field_pattern))
return column_map
|
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Return the _column_map without unused optional fields
|
[
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] |
train
|
https://github.com/tulsawebdevs/django-multi-gtfs/blob/8c442bfb67e87566c24a7364d8fa0aacd4a0a652/multigtfs/models/base.py#L37-L62
|
tulsawebdevs/django-multi-gtfs
|
multigtfs/models/base.py
|
BaseManager.in_feed
|
def in_feed(self, feed):
'''Return the objects in the target feed'''
kwargs = {self.model._rel_to_feed: feed}
return self.filter(**kwargs)
|
python
|
def in_feed(self, feed):
'''Return the objects in the target feed'''
kwargs = {self.model._rel_to_feed: feed}
return self.filter(**kwargs)
|
[
"def",
"in_feed",
"(",
"self",
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":",
"kwargs",
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"{",
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":",
"feed",
"}",
"return",
"self",
".",
"filter",
"(",
"*",
"*",
"kwargs",
")"
] |
Return the objects in the target feed
|
[
"Return",
"the",
"objects",
"in",
"the",
"target",
"feed"
] |
train
|
https://github.com/tulsawebdevs/django-multi-gtfs/blob/8c442bfb67e87566c24a7364d8fa0aacd4a0a652/multigtfs/models/base.py#L70-L73
|
tulsawebdevs/django-multi-gtfs
|
multigtfs/models/base.py
|
Base.import_txt
|
def import_txt(cls, txt_file, feed, filter_func=None):
'''Import from the GTFS text file'''
# Setup the conversion from GTFS to Django Format
# Conversion functions
def no_convert(value): return value
def date_convert(value): return datetime.strptime(value, '%Y%m%d')
def bool_convert(value): return (value == '1')
def char_convert(value): return (value or '')
def null_convert(value): return (value or None)
def point_convert(value):
"""Convert latitude / longitude, strip leading +."""
if value.startswith('+'):
return value[1:]
else:
return (value or 0.0)
cache = {}
def default_convert(field):
def get_value_or_default(value):
if value == '' or value is None:
return field.get_default()
else:
return value
return get_value_or_default
def instance_convert(field, feed, rel_name):
def get_instance(value):
if value.strip():
related = field.related_model
key1 = "{}:{}".format(related.__name__, rel_name)
key2 = text_type(value)
# Load existing objects
if key1 not in cache:
pairs = related.objects.filter(
**{related._rel_to_feed: feed}).values_list(
rel_name, 'id')
cache[key1] = dict((text_type(x), i) for x, i in pairs)
# Create new?
if key2 not in cache[key1]:
kwargs = {
related._rel_to_feed: feed,
rel_name: value}
cache[key1][key2] = related.objects.create(
**kwargs).id
return cache[key1][key2]
else:
return None
return get_instance
# Check unique fields
column_names = [c for c, _ in cls._column_map]
for unique_field in cls._unique_fields:
assert unique_field in column_names, \
'{} not in {}'.format(unique_field, column_names)
# Map of field_name to converters from GTFS to Django format
val_map = dict()
name_map = dict()
point_map = dict()
for csv_name, field_pattern in cls._column_map:
# Separate the local field name from foreign columns
if '__' in field_pattern:
field_base, rel_name = field_pattern.split('__', 1)
field_name = field_base + '_id'
else:
field_name = field_base = field_pattern
# Use the field name in the name mapping
name_map[csv_name] = field_name
# Is it a point field?
point_match = re_point.match(field_name)
if point_match:
field = None
else:
field = cls._meta.get_field(field_base)
# Pick a conversion function for the field
if point_match:
converter = point_convert
elif isinstance(field, models.DateField):
converter = date_convert
elif isinstance(field, models.BooleanField):
converter = bool_convert
elif isinstance(field, models.CharField):
converter = char_convert
elif field.is_relation:
converter = instance_convert(field, feed, rel_name)
assert not isinstance(field, models.ManyToManyField)
elif field.null:
converter = null_convert
elif field.has_default():
converter = default_convert(field)
else:
converter = no_convert
if point_match:
index = int(point_match.group('index'))
point_map[csv_name] = (index, converter)
else:
val_map[csv_name] = converter
# Read and convert the source txt
csv_reader = reader(txt_file, skipinitialspace=True)
unique_line = dict()
count = 0
first = True
extra_counts = defaultdict(int)
new_objects = []
for row in csv_reader:
if first:
# Read the columns
columns = row
if columns[0].startswith(CSV_BOM):
columns[0] = columns[0][len(CSV_BOM):]
first = False
continue
if filter_func and not filter_func(zip(columns, row)):
continue
if not row:
continue
# Read a data row
fields = dict()
point_coords = [None, None]
ukey_values = {}
if cls._rel_to_feed == 'feed':
fields['feed'] = feed
for column_name, value in zip(columns, row):
if column_name not in name_map:
val = null_convert(value)
if val is not None:
fields.setdefault('extra_data', {})[column_name] = val
extra_counts[column_name] += 1
elif column_name in val_map:
fields[name_map[column_name]] = val_map[column_name](value)
else:
assert column_name in point_map
pos, converter = point_map[column_name]
point_coords[pos] = converter(value)
# Is it part of the unique key?
if column_name in cls._unique_fields:
ukey_values[column_name] = value
# Join the lat/long into a point
if point_map:
assert point_coords[0] and point_coords[1]
fields['point'] = "POINT(%s)" % (' '.join(point_coords))
# Is the item unique?
ukey = tuple(ukey_values.get(u) for u in cls._unique_fields)
if ukey in unique_line:
logger.warning(
'%s line %d is a duplicate of line %d, not imported.',
cls._filename, csv_reader.line_num, unique_line[ukey])
continue
else:
unique_line[ukey] = csv_reader.line_num
# Create after accumulating a batch
new_objects.append(cls(**fields))
if len(new_objects) % batch_size == 0: # pragma: no cover
cls.objects.bulk_create(new_objects)
count += len(new_objects)
logger.info(
"Imported %d %s",
count, cls._meta.verbose_name_plural)
new_objects = []
# Create remaining objects
if new_objects:
cls.objects.bulk_create(new_objects)
# Take note of extra fields
if extra_counts:
extra_columns = feed.meta.setdefault(
'extra_columns', {}).setdefault(cls.__name__, [])
for column in columns:
if column in extra_counts and column not in extra_columns:
extra_columns.append(column)
feed.save()
return len(unique_line)
|
python
|
def import_txt(cls, txt_file, feed, filter_func=None):
'''Import from the GTFS text file'''
# Setup the conversion from GTFS to Django Format
# Conversion functions
def no_convert(value): return value
def date_convert(value): return datetime.strptime(value, '%Y%m%d')
def bool_convert(value): return (value == '1')
def char_convert(value): return (value or '')
def null_convert(value): return (value or None)
def point_convert(value):
"""Convert latitude / longitude, strip leading +."""
if value.startswith('+'):
return value[1:]
else:
return (value or 0.0)
cache = {}
def default_convert(field):
def get_value_or_default(value):
if value == '' or value is None:
return field.get_default()
else:
return value
return get_value_or_default
def instance_convert(field, feed, rel_name):
def get_instance(value):
if value.strip():
related = field.related_model
key1 = "{}:{}".format(related.__name__, rel_name)
key2 = text_type(value)
# Load existing objects
if key1 not in cache:
pairs = related.objects.filter(
**{related._rel_to_feed: feed}).values_list(
rel_name, 'id')
cache[key1] = dict((text_type(x), i) for x, i in pairs)
# Create new?
if key2 not in cache[key1]:
kwargs = {
related._rel_to_feed: feed,
rel_name: value}
cache[key1][key2] = related.objects.create(
**kwargs).id
return cache[key1][key2]
else:
return None
return get_instance
# Check unique fields
column_names = [c for c, _ in cls._column_map]
for unique_field in cls._unique_fields:
assert unique_field in column_names, \
'{} not in {}'.format(unique_field, column_names)
# Map of field_name to converters from GTFS to Django format
val_map = dict()
name_map = dict()
point_map = dict()
for csv_name, field_pattern in cls._column_map:
# Separate the local field name from foreign columns
if '__' in field_pattern:
field_base, rel_name = field_pattern.split('__', 1)
field_name = field_base + '_id'
else:
field_name = field_base = field_pattern
# Use the field name in the name mapping
name_map[csv_name] = field_name
# Is it a point field?
point_match = re_point.match(field_name)
if point_match:
field = None
else:
field = cls._meta.get_field(field_base)
# Pick a conversion function for the field
if point_match:
converter = point_convert
elif isinstance(field, models.DateField):
converter = date_convert
elif isinstance(field, models.BooleanField):
converter = bool_convert
elif isinstance(field, models.CharField):
converter = char_convert
elif field.is_relation:
converter = instance_convert(field, feed, rel_name)
assert not isinstance(field, models.ManyToManyField)
elif field.null:
converter = null_convert
elif field.has_default():
converter = default_convert(field)
else:
converter = no_convert
if point_match:
index = int(point_match.group('index'))
point_map[csv_name] = (index, converter)
else:
val_map[csv_name] = converter
# Read and convert the source txt
csv_reader = reader(txt_file, skipinitialspace=True)
unique_line = dict()
count = 0
first = True
extra_counts = defaultdict(int)
new_objects = []
for row in csv_reader:
if first:
# Read the columns
columns = row
if columns[0].startswith(CSV_BOM):
columns[0] = columns[0][len(CSV_BOM):]
first = False
continue
if filter_func and not filter_func(zip(columns, row)):
continue
if not row:
continue
# Read a data row
fields = dict()
point_coords = [None, None]
ukey_values = {}
if cls._rel_to_feed == 'feed':
fields['feed'] = feed
for column_name, value in zip(columns, row):
if column_name not in name_map:
val = null_convert(value)
if val is not None:
fields.setdefault('extra_data', {})[column_name] = val
extra_counts[column_name] += 1
elif column_name in val_map:
fields[name_map[column_name]] = val_map[column_name](value)
else:
assert column_name in point_map
pos, converter = point_map[column_name]
point_coords[pos] = converter(value)
# Is it part of the unique key?
if column_name in cls._unique_fields:
ukey_values[column_name] = value
# Join the lat/long into a point
if point_map:
assert point_coords[0] and point_coords[1]
fields['point'] = "POINT(%s)" % (' '.join(point_coords))
# Is the item unique?
ukey = tuple(ukey_values.get(u) for u in cls._unique_fields)
if ukey in unique_line:
logger.warning(
'%s line %d is a duplicate of line %d, not imported.',
cls._filename, csv_reader.line_num, unique_line[ukey])
continue
else:
unique_line[ukey] = csv_reader.line_num
# Create after accumulating a batch
new_objects.append(cls(**fields))
if len(new_objects) % batch_size == 0: # pragma: no cover
cls.objects.bulk_create(new_objects)
count += len(new_objects)
logger.info(
"Imported %d %s",
count, cls._meta.verbose_name_plural)
new_objects = []
# Create remaining objects
if new_objects:
cls.objects.bulk_create(new_objects)
# Take note of extra fields
if extra_counts:
extra_columns = feed.meta.setdefault(
'extra_columns', {}).setdefault(cls.__name__, [])
for column in columns:
if column in extra_counts and column not in extra_columns:
extra_columns.append(column)
feed.save()
return len(unique_line)
|
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] |
Import from the GTFS text file
|
[
"Import",
"from",
"the",
"GTFS",
"text",
"file"
] |
train
|
https://github.com/tulsawebdevs/django-multi-gtfs/blob/8c442bfb67e87566c24a7364d8fa0aacd4a0a652/multigtfs/models/base.py#L108-L300
|
tulsawebdevs/django-multi-gtfs
|
multigtfs/models/base.py
|
Base.export_txt
|
def export_txt(cls, feed):
'''Export records as a GTFS comma-separated file'''
objects = cls.objects.in_feed(feed)
# If no records, return None
if not objects.exists():
return
# Get the columns used in the dataset
column_map = objects.populated_column_map()
columns, fields = zip(*column_map)
extra_columns = feed.meta.get(
'extra_columns', {}).get(cls.__name__, [])
# Get sort order
if hasattr(cls, '_sort_order'):
sort_fields = cls._sort_order
else:
sort_fields = []
for field in fields:
base_field = field.split('__', 1)[0]
point_match = re_point.match(base_field)
if point_match:
continue
field_type = cls._meta.get_field(base_field)
assert not isinstance(field_type, ManyToManyField)
sort_fields.append(field)
# Create CSV writer
out = StringIO()
csv_writer = writer(out, lineterminator='\n')
# Write header row
header_row = [text_type(c) for c in columns]
header_row.extend(extra_columns)
write_text_rows(csv_writer, [header_row])
# Report the work to be done
total = objects.count()
logger.info(
'%d %s to export...',
total, cls._meta.verbose_name_plural)
# Populate related items cache
model_to_field_name = {}
cache = {}
for field_name in fields:
if '__' in field_name:
local_field_name, subfield_name = field_name.split('__', 1)
field = cls._meta.get_field(local_field_name)
field_type = field.related_model
model_name = field_type.__name__
if model_name in model_to_field_name:
# Already loaded this model under a different field name
cache[field_name] = cache[model_to_field_name[model_name]]
else:
# Load all feed data for this model
pairs = field_type.objects.in_feed(
feed).values_list('id', subfield_name)
cache[field_name] = dict(
(i, text_type(x)) for i, x in pairs)
cache[field_name][None] = u''
model_to_field_name[model_name] = field_name
# Assemble the rows, writing when we hit batch size
count = 0
rows = []
for item in objects.order_by(*sort_fields).iterator():
row = []
for csv_name, field_name in column_map:
obj = item
point_match = re_point.match(field_name)
if '__' in field_name:
# Return relations from cache
local_field_name = field_name.split('__', 1)[0]
field_id = getattr(obj, local_field_name + '_id')
row.append(cache[field_name][field_id])
elif point_match:
# Get the lat or long from the point
name, index = point_match.groups()
field = getattr(obj, name)
row.append(field.coords[int(index)])
else:
# Handle other field types
field = getattr(obj, field_name) if obj else ''
if isinstance(field, date):
formatted = field.strftime(u'%Y%m%d')
row.append(text_type(formatted))
elif isinstance(field, bool):
row.append(1 if field else 0)
elif field is None:
row.append(u'')
else:
row.append(text_type(field))
for col in extra_columns:
row.append(obj.extra_data.get(col, u''))
rows.append(row)
if len(rows) % batch_size == 0: # pragma: no cover
write_text_rows(csv_writer, rows)
count += len(rows)
logger.info(
"Exported %d %s",
count, cls._meta.verbose_name_plural)
rows = []
# Write rows smaller than batch size
write_text_rows(csv_writer, rows)
return out.getvalue()
|
python
|
def export_txt(cls, feed):
'''Export records as a GTFS comma-separated file'''
objects = cls.objects.in_feed(feed)
# If no records, return None
if not objects.exists():
return
# Get the columns used in the dataset
column_map = objects.populated_column_map()
columns, fields = zip(*column_map)
extra_columns = feed.meta.get(
'extra_columns', {}).get(cls.__name__, [])
# Get sort order
if hasattr(cls, '_sort_order'):
sort_fields = cls._sort_order
else:
sort_fields = []
for field in fields:
base_field = field.split('__', 1)[0]
point_match = re_point.match(base_field)
if point_match:
continue
field_type = cls._meta.get_field(base_field)
assert not isinstance(field_type, ManyToManyField)
sort_fields.append(field)
# Create CSV writer
out = StringIO()
csv_writer = writer(out, lineterminator='\n')
# Write header row
header_row = [text_type(c) for c in columns]
header_row.extend(extra_columns)
write_text_rows(csv_writer, [header_row])
# Report the work to be done
total = objects.count()
logger.info(
'%d %s to export...',
total, cls._meta.verbose_name_plural)
# Populate related items cache
model_to_field_name = {}
cache = {}
for field_name in fields:
if '__' in field_name:
local_field_name, subfield_name = field_name.split('__', 1)
field = cls._meta.get_field(local_field_name)
field_type = field.related_model
model_name = field_type.__name__
if model_name in model_to_field_name:
# Already loaded this model under a different field name
cache[field_name] = cache[model_to_field_name[model_name]]
else:
# Load all feed data for this model
pairs = field_type.objects.in_feed(
feed).values_list('id', subfield_name)
cache[field_name] = dict(
(i, text_type(x)) for i, x in pairs)
cache[field_name][None] = u''
model_to_field_name[model_name] = field_name
# Assemble the rows, writing when we hit batch size
count = 0
rows = []
for item in objects.order_by(*sort_fields).iterator():
row = []
for csv_name, field_name in column_map:
obj = item
point_match = re_point.match(field_name)
if '__' in field_name:
# Return relations from cache
local_field_name = field_name.split('__', 1)[0]
field_id = getattr(obj, local_field_name + '_id')
row.append(cache[field_name][field_id])
elif point_match:
# Get the lat or long from the point
name, index = point_match.groups()
field = getattr(obj, name)
row.append(field.coords[int(index)])
else:
# Handle other field types
field = getattr(obj, field_name) if obj else ''
if isinstance(field, date):
formatted = field.strftime(u'%Y%m%d')
row.append(text_type(formatted))
elif isinstance(field, bool):
row.append(1 if field else 0)
elif field is None:
row.append(u'')
else:
row.append(text_type(field))
for col in extra_columns:
row.append(obj.extra_data.get(col, u''))
rows.append(row)
if len(rows) % batch_size == 0: # pragma: no cover
write_text_rows(csv_writer, rows)
count += len(rows)
logger.info(
"Exported %d %s",
count, cls._meta.verbose_name_plural)
rows = []
# Write rows smaller than batch size
write_text_rows(csv_writer, rows)
return out.getvalue()
|
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[
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train
|
https://github.com/tulsawebdevs/django-multi-gtfs/blob/8c442bfb67e87566c24a7364d8fa0aacd4a0a652/multigtfs/models/base.py#L303-L410
|
aheadley/python-crunchyroll
|
crunchyroll/apis/android.py
|
make_android_api_method
|
def make_android_api_method(req_method, secure=True, version=0):
"""Turn an AndroidApi's method into a function that builds the request,
sends it, then passes the response to the actual method. Should be used
as a decorator.
"""
def outer_func(func):
def inner_func(self, **kwargs):
req_url = self._build_request_url(secure, func.__name__, version)
req_func = self._build_request(req_method, req_url, params=kwargs)
response = req_func()
func(self, response)
return response
return inner_func
return outer_func
|
python
|
def make_android_api_method(req_method, secure=True, version=0):
"""Turn an AndroidApi's method into a function that builds the request,
sends it, then passes the response to the actual method. Should be used
as a decorator.
"""
def outer_func(func):
def inner_func(self, **kwargs):
req_url = self._build_request_url(secure, func.__name__, version)
req_func = self._build_request(req_method, req_url, params=kwargs)
response = req_func()
func(self, response)
return response
return inner_func
return outer_func
|
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train
|
https://github.com/aheadley/python-crunchyroll/blob/9bf2eb644f0d0f3e9dc21b95b8e355c6e2050178/crunchyroll/apis/android.py#L32-L45
|
aheadley/python-crunchyroll
|
crunchyroll/apis/android.py
|
AndroidApi._get_base_params
|
def _get_base_params(self):
"""Get the params that will be included with every request
"""
base_params = {
'locale': self._get_locale(),
'device_id': ANDROID.DEVICE_ID,
'device_type': ANDROID.APP_PACKAGE,
'access_token': ANDROID.ACCESS_TOKEN,
'version': ANDROID.APP_CODE,
}
base_params.update(dict((k, v) \
for k, v in iteritems(self._state_params) \
if v is not None))
return base_params
|
python
|
def _get_base_params(self):
"""Get the params that will be included with every request
"""
base_params = {
'locale': self._get_locale(),
'device_id': ANDROID.DEVICE_ID,
'device_type': ANDROID.APP_PACKAGE,
'access_token': ANDROID.ACCESS_TOKEN,
'version': ANDROID.APP_CODE,
}
base_params.update(dict((k, v) \
for k, v in iteritems(self._state_params) \
if v is not None))
return base_params
|
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train
|
https://github.com/aheadley/python-crunchyroll/blob/9bf2eb644f0d0f3e9dc21b95b8e355c6e2050178/crunchyroll/apis/android.py#L105-L118
|
aheadley/python-crunchyroll
|
crunchyroll/apis/android.py
|
AndroidApi._build_request_url
|
def _build_request_url(self, secure, api_method, version):
"""Build a URL for a API method request
"""
if secure:
proto = ANDROID.PROTOCOL_SECURE
else:
proto = ANDROID.PROTOCOL_INSECURE
req_url = ANDROID.API_URL.format(
protocol=proto,
api_method=api_method,
version=version
)
return req_url
|
python
|
def _build_request_url(self, secure, api_method, version):
"""Build a URL for a API method request
"""
if secure:
proto = ANDROID.PROTOCOL_SECURE
else:
proto = ANDROID.PROTOCOL_INSECURE
req_url = ANDROID.API_URL.format(
protocol=proto,
api_method=api_method,
version=version
)
return req_url
|
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|
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train
|
https://github.com/aheadley/python-crunchyroll/blob/9bf2eb644f0d0f3e9dc21b95b8e355c6e2050178/crunchyroll/apis/android.py#L174-L186
|
aheadley/python-crunchyroll
|
crunchyroll/apis/android.py
|
AndroidApi.is_premium
|
def is_premium(self, media_type):
"""Get if the session is premium for a given media type
@param str media_type Should be one of ANDROID.MEDIA_TYPE_*
@return bool
"""
if self.logged_in:
if media_type in self._user_data['premium']:
return True
return False
|
python
|
def is_premium(self, media_type):
"""Get if the session is premium for a given media type
@param str media_type Should be one of ANDROID.MEDIA_TYPE_*
@return bool
"""
if self.logged_in:
if media_type in self._user_data['premium']:
return True
return False
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Get if the session is premium for a given media type
@param str media_type Should be one of ANDROID.MEDIA_TYPE_*
@return bool
|
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train
|
https://github.com/aheadley/python-crunchyroll/blob/9bf2eb644f0d0f3e9dc21b95b8e355c6e2050178/crunchyroll/apis/android.py#L196-L205
|
aheadley/python-crunchyroll
|
crunchyroll/apis/android.py
|
AndroidApi.login
|
def login(self, response):
"""
Login using email/username and password, used to get the auth token
@param str account
@param str password
@param int duration (optional)
"""
self._state_params['auth'] = response['auth']
self._user_data = response['user']
if not self.logged_in:
raise ApiLoginFailure(response)
|
python
|
def login(self, response):
"""
Login using email/username and password, used to get the auth token
@param str account
@param str password
@param int duration (optional)
"""
self._state_params['auth'] = response['auth']
self._user_data = response['user']
if not self.logged_in:
raise ApiLoginFailure(response)
|
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Login using email/username and password, used to get the auth token
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|
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train
|
https://github.com/aheadley/python-crunchyroll/blob/9bf2eb644f0d0f3e9dc21b95b8e355c6e2050178/crunchyroll/apis/android.py#L242-L253
|
vberlier/nbtlib
|
nbtlib/tag.py
|
read_numeric
|
def read_numeric(fmt, buff, byteorder='big'):
"""Read a numeric value from a file-like object."""
try:
fmt = fmt[byteorder]
return fmt.unpack(buff.read(fmt.size))[0]
except StructError:
return 0
except KeyError as exc:
raise ValueError('Invalid byte order') from exc
|
python
|
def read_numeric(fmt, buff, byteorder='big'):
"""Read a numeric value from a file-like object."""
try:
fmt = fmt[byteorder]
return fmt.unpack(buff.read(fmt.size))[0]
except StructError:
return 0
except KeyError as exc:
raise ValueError('Invalid byte order') from exc
|
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Read a numeric value from a file-like object.
|
[
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train
|
https://github.com/vberlier/nbtlib/blob/9c9d58b5c4a530b0f1ffd76dda176f00406c3547/nbtlib/tag.py#L99-L107
|
vberlier/nbtlib
|
nbtlib/tag.py
|
write_numeric
|
def write_numeric(fmt, value, buff, byteorder='big'):
"""Write a numeric value to a file-like object."""
try:
buff.write(fmt[byteorder].pack(value))
except KeyError as exc:
raise ValueError('Invalid byte order') from exc
|
python
|
def write_numeric(fmt, value, buff, byteorder='big'):
"""Write a numeric value to a file-like object."""
try:
buff.write(fmt[byteorder].pack(value))
except KeyError as exc:
raise ValueError('Invalid byte order') from exc
|
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Write a numeric value to a file-like object.
|
[
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] |
train
|
https://github.com/vberlier/nbtlib/blob/9c9d58b5c4a530b0f1ffd76dda176f00406c3547/nbtlib/tag.py#L110-L115
|
vberlier/nbtlib
|
nbtlib/tag.py
|
read_string
|
def read_string(buff, byteorder='big'):
"""Read a string from a file-like object."""
length = read_numeric(USHORT, buff, byteorder)
return buff.read(length).decode('utf-8')
|
python
|
def read_string(buff, byteorder='big'):
"""Read a string from a file-like object."""
length = read_numeric(USHORT, buff, byteorder)
return buff.read(length).decode('utf-8')
|
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Read a string from a file-like object.
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"like",
"object",
"."
] |
train
|
https://github.com/vberlier/nbtlib/blob/9c9d58b5c4a530b0f1ffd76dda176f00406c3547/nbtlib/tag.py#L118-L121
|
vberlier/nbtlib
|
nbtlib/tag.py
|
write_string
|
def write_string(value, buff, byteorder='big'):
"""Write a string to a file-like object."""
data = value.encode('utf-8')
write_numeric(USHORT, len(data), buff, byteorder)
buff.write(data)
|
python
|
def write_string(value, buff, byteorder='big'):
"""Write a string to a file-like object."""
data = value.encode('utf-8')
write_numeric(USHORT, len(data), buff, byteorder)
buff.write(data)
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[
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train
|
https://github.com/vberlier/nbtlib/blob/9c9d58b5c4a530b0f1ffd76dda176f00406c3547/nbtlib/tag.py#L124-L128
|
vberlier/nbtlib
|
nbtlib/tag.py
|
List.infer_list_subtype
|
def infer_list_subtype(items):
"""Infer a list subtype from a collection of items."""
subtype = End
for item in items:
item_type = type(item)
if not issubclass(item_type, Base):
continue
if subtype is End:
subtype = item_type
if not issubclass(subtype, List):
return subtype
elif subtype is not item_type:
stype, itype = subtype, item_type
generic = List
while issubclass(stype, List) and issubclass(itype, List):
stype, itype = stype.subtype, itype.subtype
generic = List[generic]
if stype is End:
subtype = item_type
elif itype is not End:
return generic.subtype
return subtype
|
python
|
def infer_list_subtype(items):
"""Infer a list subtype from a collection of items."""
subtype = End
for item in items:
item_type = type(item)
if not issubclass(item_type, Base):
continue
if subtype is End:
subtype = item_type
if not issubclass(subtype, List):
return subtype
elif subtype is not item_type:
stype, itype = subtype, item_type
generic = List
while issubclass(stype, List) and issubclass(itype, List):
stype, itype = stype.subtype, itype.subtype
generic = List[generic]
if stype is End:
subtype = item_type
elif itype is not End:
return generic.subtype
return subtype
|
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train
|
https://github.com/vberlier/nbtlib/blob/9c9d58b5c4a530b0f1ffd76dda176f00406c3547/nbtlib/tag.py#L414-L438
|
vberlier/nbtlib
|
nbtlib/tag.py
|
List.cast_item
|
def cast_item(cls, item):
"""Cast list item to the appropriate tag type."""
if not isinstance(item, cls.subtype):
incompatible = isinstance(item, Base) and not any(
issubclass(cls.subtype, tag_type) and isinstance(item, tag_type)
for tag_type in cls.all_tags.values()
)
if incompatible:
raise IncompatibleItemType(item, cls.subtype)
try:
return cls.subtype(item)
except EndInstantiation:
raise ValueError('List tags without an explicit subtype must '
'either be empty or instantiated with '
'elements from which a subtype can be '
'inferred') from None
except (IncompatibleItemType, CastError):
raise
except Exception as exc:
raise CastError(item, cls.subtype) from exc
return item
|
python
|
def cast_item(cls, item):
"""Cast list item to the appropriate tag type."""
if not isinstance(item, cls.subtype):
incompatible = isinstance(item, Base) and not any(
issubclass(cls.subtype, tag_type) and isinstance(item, tag_type)
for tag_type in cls.all_tags.values()
)
if incompatible:
raise IncompatibleItemType(item, cls.subtype)
try:
return cls.subtype(item)
except EndInstantiation:
raise ValueError('List tags without an explicit subtype must '
'either be empty or instantiated with '
'elements from which a subtype can be '
'inferred') from None
except (IncompatibleItemType, CastError):
raise
except Exception as exc:
raise CastError(item, cls.subtype) from exc
return item
|
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|
[
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] |
train
|
https://github.com/vberlier/nbtlib/blob/9c9d58b5c4a530b0f1ffd76dda176f00406c3547/nbtlib/tag.py#L465-L486
|
vberlier/nbtlib
|
nbtlib/tag.py
|
Compound.merge
|
def merge(self, other):
"""Recursively merge tags from another compound."""
for key, value in other.items():
if key in self and (isinstance(self[key], Compound)
and isinstance(value, dict)):
self[key].merge(value)
else:
self[key] = value
|
python
|
def merge(self, other):
"""Recursively merge tags from another compound."""
for key, value in other.items():
if key in self and (isinstance(self[key], Compound)
and isinstance(value, dict)):
self[key].merge(value)
else:
self[key] = value
|
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Recursively merge tags from another compound.
|
[
"Recursively",
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"compound",
"."
] |
train
|
https://github.com/vberlier/nbtlib/blob/9c9d58b5c4a530b0f1ffd76dda176f00406c3547/nbtlib/tag.py#L522-L529
|
aheadley/python-crunchyroll
|
crunchyroll/subtitles.py
|
SubtitleDecrypter.decrypt_subtitle
|
def decrypt_subtitle(self, subtitle):
"""Decrypt encrypted subtitle data in high level model object
@param crunchyroll.models.Subtitle subtitle
@return str
"""
return self.decrypt(self._build_encryption_key(int(subtitle.id)),
subtitle['iv'][0].text.decode('base64'),
subtitle['data'][0].text.decode('base64'))
|
python
|
def decrypt_subtitle(self, subtitle):
"""Decrypt encrypted subtitle data in high level model object
@param crunchyroll.models.Subtitle subtitle
@return str
"""
return self.decrypt(self._build_encryption_key(int(subtitle.id)),
subtitle['iv'][0].text.decode('base64'),
subtitle['data'][0].text.decode('base64'))
|
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Decrypt encrypted subtitle data in high level model object
@param crunchyroll.models.Subtitle subtitle
@return str
|
[
"Decrypt",
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"data",
"in",
"high",
"level",
"model",
"object"
] |
train
|
https://github.com/aheadley/python-crunchyroll/blob/9bf2eb644f0d0f3e9dc21b95b8e355c6e2050178/crunchyroll/subtitles.py#L51-L59
|
aheadley/python-crunchyroll
|
crunchyroll/subtitles.py
|
SubtitleDecrypter.decrypt
|
def decrypt(self, encryption_key, iv, encrypted_data):
"""Decrypt encrypted subtitle data
@param int subtitle_id
@param str iv
@param str encrypted_data
@return str
"""
logger.info('Decrypting subtitles with length (%d bytes), key=%r',
len(encrypted_data), encryption_key)
return zlib.decompress(aes_decrypt(encryption_key, iv, encrypted_data))
|
python
|
def decrypt(self, encryption_key, iv, encrypted_data):
"""Decrypt encrypted subtitle data
@param int subtitle_id
@param str iv
@param str encrypted_data
@return str
"""
logger.info('Decrypting subtitles with length (%d bytes), key=%r',
len(encrypted_data), encryption_key)
return zlib.decompress(aes_decrypt(encryption_key, iv, encrypted_data))
|
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Decrypt encrypted subtitle data
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|
[
"Decrypt",
"encrypted",
"subtitle",
"data"
] |
train
|
https://github.com/aheadley/python-crunchyroll/blob/9bf2eb644f0d0f3e9dc21b95b8e355c6e2050178/crunchyroll/subtitles.py#L61-L72
|
aheadley/python-crunchyroll
|
crunchyroll/subtitles.py
|
SubtitleDecrypter._build_encryption_key
|
def _build_encryption_key(self, subtitle_id, key_size=ENCRYPTION_KEY_SIZE):
"""Generate the encryption key for a given media item
Encryption key is basically just
sha1(<magic value based on subtitle_id> + '"#$&).6CXzPHw=2N_+isZK') then
padded with 0s to 32 chars
@param int subtitle_id
@param int key_size
@return str
"""
# generate a 160-bit SHA1 hash
sha1_hash = hashlib.new('sha1', self._build_hash_secret((1, 2)) +
self._build_hash_magic(subtitle_id)).digest()
# pad to 256-bit hash for 32 byte key
sha1_hash += '\x00' * max(key_size - len(sha1_hash), 0)
return sha1_hash[:key_size]
|
python
|
def _build_encryption_key(self, subtitle_id, key_size=ENCRYPTION_KEY_SIZE):
"""Generate the encryption key for a given media item
Encryption key is basically just
sha1(<magic value based on subtitle_id> + '"#$&).6CXzPHw=2N_+isZK') then
padded with 0s to 32 chars
@param int subtitle_id
@param int key_size
@return str
"""
# generate a 160-bit SHA1 hash
sha1_hash = hashlib.new('sha1', self._build_hash_secret((1, 2)) +
self._build_hash_magic(subtitle_id)).digest()
# pad to 256-bit hash for 32 byte key
sha1_hash += '\x00' * max(key_size - len(sha1_hash), 0)
return sha1_hash[:key_size]
|
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@param int subtitle_id
@param int key_size
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|
[
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train
|
https://github.com/aheadley/python-crunchyroll/blob/9bf2eb644f0d0f3e9dc21b95b8e355c6e2050178/crunchyroll/subtitles.py#L74-L91
|
aheadley/python-crunchyroll
|
crunchyroll/subtitles.py
|
SubtitleDecrypter._build_hash_magic
|
def _build_hash_magic(self, subtitle_id):
"""Build the other half of the encryption key hash
I have no idea what is going on here
@param int subtitle_id
@return str
"""
media_magic = self.HASH_MAGIC_CONST ^ subtitle_id
hash_magic = media_magic ^ media_magic >> 3 ^ media_magic * 32
return str(hash_magic)
|
python
|
def _build_hash_magic(self, subtitle_id):
"""Build the other half of the encryption key hash
I have no idea what is going on here
@param int subtitle_id
@return str
"""
media_magic = self.HASH_MAGIC_CONST ^ subtitle_id
hash_magic = media_magic ^ media_magic >> 3 ^ media_magic * 32
return str(hash_magic)
|
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Build the other half of the encryption key hash
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[
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train
|
https://github.com/aheadley/python-crunchyroll/blob/9bf2eb644f0d0f3e9dc21b95b8e355c6e2050178/crunchyroll/subtitles.py#L93-L104
|
aheadley/python-crunchyroll
|
crunchyroll/subtitles.py
|
SubtitleDecrypter._build_hash_secret
|
def _build_hash_secret(self, seq_seed, seq_len=HASH_SECRET_LENGTH,
mod_value=HASH_SECRET_MOD_CONST):
"""Build a seed for the hash based on the Fibonacci sequence
Take first `seq_len` + len(`seq_seed`) characters of Fibonacci
sequence, starting with `seq_seed`, and applying e % `mod_value` +
`HASH_SECRET_CHAR_OFFSET` to the resulting sequence, then return as
a string
@param tuple|list seq_seed
@param int seq_len
@param int mod_value
@return str
"""
# make sure we use a list, tuples are immutable
fbn_seq = list(seq_seed)
for i in range(seq_len):
fbn_seq.append(fbn_seq[-1] + fbn_seq[-2])
hash_secret = list(map(
lambda c: chr(c % mod_value + self.HASH_SECRET_CHAR_OFFSET),
fbn_seq[2:]))
return ''.join(hash_secret)
|
python
|
def _build_hash_secret(self, seq_seed, seq_len=HASH_SECRET_LENGTH,
mod_value=HASH_SECRET_MOD_CONST):
"""Build a seed for the hash based on the Fibonacci sequence
Take first `seq_len` + len(`seq_seed`) characters of Fibonacci
sequence, starting with `seq_seed`, and applying e % `mod_value` +
`HASH_SECRET_CHAR_OFFSET` to the resulting sequence, then return as
a string
@param tuple|list seq_seed
@param int seq_len
@param int mod_value
@return str
"""
# make sure we use a list, tuples are immutable
fbn_seq = list(seq_seed)
for i in range(seq_len):
fbn_seq.append(fbn_seq[-1] + fbn_seq[-2])
hash_secret = list(map(
lambda c: chr(c % mod_value + self.HASH_SECRET_CHAR_OFFSET),
fbn_seq[2:]))
return ''.join(hash_secret)
|
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Build a seed for the hash based on the Fibonacci sequence
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sequence, starting with `seq_seed`, and applying e % `mod_value` +
`HASH_SECRET_CHAR_OFFSET` to the resulting sequence, then return as
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@param tuple|list seq_seed
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|
[
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] |
train
|
https://github.com/aheadley/python-crunchyroll/blob/9bf2eb644f0d0f3e9dc21b95b8e355c6e2050178/crunchyroll/subtitles.py#L106-L128
|
aheadley/python-crunchyroll
|
crunchyroll/subtitles.py
|
SubtitleFormatter.format
|
def format(self, subtitles):
"""Turn a string containing the subs xml document into the formatted
subtitle string
@param str|crunchyroll.models.StyledSubtitle sub_xml_text
@return str
"""
logger.debug('Formatting subtitles (id=%s) with %s',
subtitles.id, self.__class__.__name__)
return self._format(subtitles).encode('utf-8')
|
python
|
def format(self, subtitles):
"""Turn a string containing the subs xml document into the formatted
subtitle string
@param str|crunchyroll.models.StyledSubtitle sub_xml_text
@return str
"""
logger.debug('Formatting subtitles (id=%s) with %s',
subtitles.id, self.__class__.__name__)
return self._format(subtitles).encode('utf-8')
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train
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https://github.com/aheadley/python-crunchyroll/blob/9bf2eb644f0d0f3e9dc21b95b8e355c6e2050178/crunchyroll/subtitles.py#L134-L143
|
aheadley/python-crunchyroll
|
crunchyroll/apis/meta.py
|
require_session_started
|
def require_session_started(func):
"""Check if API sessions are started and start them if not
"""
@functools.wraps(func)
def inner_func(self, *pargs, **kwargs):
if not self.session_started:
logger.info('Starting session for required meta method')
self.start_session()
return func(self, *pargs, **kwargs)
return inner_func
|
python
|
def require_session_started(func):
"""Check if API sessions are started and start them if not
"""
@functools.wraps(func)
def inner_func(self, *pargs, **kwargs):
if not self.session_started:
logger.info('Starting session for required meta method')
self.start_session()
return func(self, *pargs, **kwargs)
return inner_func
|
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train
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|
aheadley/python-crunchyroll
|
crunchyroll/apis/meta.py
|
require_android_logged_in
|
def require_android_logged_in(func):
"""Check if andoid API is logged in and login if not, implies
`require_session_started`
"""
@functools.wraps(func)
@require_session_started
def inner_func(self, *pargs, **kwargs):
if not self._android_api.logged_in:
logger.info('Logging into android API for required meta method')
if not self.has_credentials:
raise ApiLoginFailure(
'Login is required but no credentials were provided')
self._android_api.login(account=self._state['username'],
password=self._state['password'])
return func(self, *pargs, **kwargs)
return inner_func
|
python
|
def require_android_logged_in(func):
"""Check if andoid API is logged in and login if not, implies
`require_session_started`
"""
@functools.wraps(func)
@require_session_started
def inner_func(self, *pargs, **kwargs):
if not self._android_api.logged_in:
logger.info('Logging into android API for required meta method')
if not self.has_credentials:
raise ApiLoginFailure(
'Login is required but no credentials were provided')
self._android_api.login(account=self._state['username'],
password=self._state['password'])
return func(self, *pargs, **kwargs)
return inner_func
|
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train
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https://github.com/aheadley/python-crunchyroll/blob/9bf2eb644f0d0f3e9dc21b95b8e355c6e2050178/crunchyroll/apis/meta.py#L46-L61
|
aheadley/python-crunchyroll
|
crunchyroll/apis/meta.py
|
optional_manga_logged_in
|
def optional_manga_logged_in(func):
"""Check if andoid manga API is logged in and login if credentials were provided,
implies `require_session_started`
"""
@functools.wraps(func)
@require_session_started
def inner_func(self, *pargs, **kwargs):
if not self._manga_api.logged_in and self.has_credentials:
logger.info('Logging into android manga API for optional meta method')
self._manga_api.cr_login(account=self._state['username'],
password=self._state['password'])
return func(self, *pargs, **kwargs)
return inner_func
|
python
|
def optional_manga_logged_in(func):
"""Check if andoid manga API is logged in and login if credentials were provided,
implies `require_session_started`
"""
@functools.wraps(func)
@require_session_started
def inner_func(self, *pargs, **kwargs):
if not self._manga_api.logged_in and self.has_credentials:
logger.info('Logging into android manga API for optional meta method')
self._manga_api.cr_login(account=self._state['username'],
password=self._state['password'])
return func(self, *pargs, **kwargs)
return inner_func
|
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train
|
https://github.com/aheadley/python-crunchyroll/blob/9bf2eb644f0d0f3e9dc21b95b8e355c6e2050178/crunchyroll/apis/meta.py#L77-L89
|
aheadley/python-crunchyroll
|
crunchyroll/apis/meta.py
|
require_ajax_logged_in
|
def require_ajax_logged_in(func):
"""Check if ajax API is logged in and login if not
"""
@functools.wraps(func)
def inner_func(self, *pargs, **kwargs):
if not self._ajax_api.logged_in:
logger.info('Logging into AJAX API for required meta method')
if not self.has_credentials:
raise ApiLoginFailure(
'Login is required but no credentials were provided')
self._ajax_api.User_Login(name=self._state['username'],
password=self._state['password'])
return func(self, *pargs, **kwargs)
return inner_func
|
python
|
def require_ajax_logged_in(func):
"""Check if ajax API is logged in and login if not
"""
@functools.wraps(func)
def inner_func(self, *pargs, **kwargs):
if not self._ajax_api.logged_in:
logger.info('Logging into AJAX API for required meta method')
if not self.has_credentials:
raise ApiLoginFailure(
'Login is required but no credentials were provided')
self._ajax_api.User_Login(name=self._state['username'],
password=self._state['password'])
return func(self, *pargs, **kwargs)
return inner_func
|
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train
|
https://github.com/aheadley/python-crunchyroll/blob/9bf2eb644f0d0f3e9dc21b95b8e355c6e2050178/crunchyroll/apis/meta.py#L91-L104
|
aheadley/python-crunchyroll
|
crunchyroll/apis/meta.py
|
MetaApi.start_session
|
def start_session(self):
"""Start the underlying APIs sessions
Calling this is not required, it will be called automatically if
a method that needs a session is called
@return bool
"""
self._android_api.start_session()
self._manga_api.cr_start_session()
return self.session_started
|
python
|
def start_session(self):
"""Start the underlying APIs sessions
Calling this is not required, it will be called automatically if
a method that needs a session is called
@return bool
"""
self._android_api.start_session()
self._manga_api.cr_start_session()
return self.session_started
|
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Start the underlying APIs sessions
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@return bool
|
[
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train
|
https://github.com/aheadley/python-crunchyroll/blob/9bf2eb644f0d0f3e9dc21b95b8e355c6e2050178/crunchyroll/apis/meta.py#L174-L184
|
aheadley/python-crunchyroll
|
crunchyroll/apis/meta.py
|
MetaApi.login
|
def login(self, username, password):
"""Login with the given username/email and password
Calling this method is not required if credentials were provided in
the constructor, but it could be used to switch users or something maybe
@return bool
"""
# we could get stuck in an inconsistent state if got an exception while
# trying to login with different credentials than what is stored so
# we rollback the state to prevent that
state_snapshot = self._state.copy()
try:
self._ajax_api.User_Login(name=username, password=password)
self._android_api.login(account=username, password=password)
self._manga_api.cr_login(account=username, password=password)
except Exception as err:
# something went wrong, rollback
self._state = state_snapshot
raise err
self._state['username'] = username
self._state['password'] = password
return self.logged_in
|
python
|
def login(self, username, password):
"""Login with the given username/email and password
Calling this method is not required if credentials were provided in
the constructor, but it could be used to switch users or something maybe
@return bool
"""
# we could get stuck in an inconsistent state if got an exception while
# trying to login with different credentials than what is stored so
# we rollback the state to prevent that
state_snapshot = self._state.copy()
try:
self._ajax_api.User_Login(name=username, password=password)
self._android_api.login(account=username, password=password)
self._manga_api.cr_login(account=username, password=password)
except Exception as err:
# something went wrong, rollback
self._state = state_snapshot
raise err
self._state['username'] = username
self._state['password'] = password
return self.logged_in
|
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[
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train
|
https://github.com/aheadley/python-crunchyroll/blob/9bf2eb644f0d0f3e9dc21b95b8e355c6e2050178/crunchyroll/apis/meta.py#L187-L209
|
aheadley/python-crunchyroll
|
crunchyroll/apis/meta.py
|
MetaApi.list_anime_series
|
def list_anime_series(self, sort=META.SORT_ALPHA, limit=META.MAX_SERIES, offset=0):
"""Get a list of anime series
@param str sort pick how results should be sorted, should be one
of META.SORT_*
@param int limit limit number of series to return, there doesn't
seem to be an upper bound
@param int offset list series starting from this offset, for pagination
@return list<crunchyroll.models.Series>
"""
result = self._android_api.list_series(
media_type=ANDROID.MEDIA_TYPE_ANIME,
filter=sort,
limit=limit,
offset=offset)
return result
|
python
|
def list_anime_series(self, sort=META.SORT_ALPHA, limit=META.MAX_SERIES, offset=0):
"""Get a list of anime series
@param str sort pick how results should be sorted, should be one
of META.SORT_*
@param int limit limit number of series to return, there doesn't
seem to be an upper bound
@param int offset list series starting from this offset, for pagination
@return list<crunchyroll.models.Series>
"""
result = self._android_api.list_series(
media_type=ANDROID.MEDIA_TYPE_ANIME,
filter=sort,
limit=limit,
offset=offset)
return result
|
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Get a list of anime series
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@param int offset list series starting from this offset, for pagination
@return list<crunchyroll.models.Series>
|
[
"Get",
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"list",
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"anime",
"series"
] |
train
|
https://github.com/aheadley/python-crunchyroll/blob/9bf2eb644f0d0f3e9dc21b95b8e355c6e2050178/crunchyroll/apis/meta.py#L213-L228
|
aheadley/python-crunchyroll
|
crunchyroll/apis/meta.py
|
MetaApi.list_drama_series
|
def list_drama_series(self, sort=META.SORT_ALPHA, limit=META.MAX_SERIES, offset=0):
"""Get a list of drama series
@param str sort pick how results should be sorted, should be one
of META.SORT_*
@param int limit limit number of series to return, there doesn't
seem to be an upper bound
@param int offset list series starting from this offset, for pagination
@return list<crunchyroll.models.Series>
"""
result = self._android_api.list_series(
media_type=ANDROID.MEDIA_TYPE_DRAMA,
filter=sort,
limit=limit,
offset=offset)
return result
|
python
|
def list_drama_series(self, sort=META.SORT_ALPHA, limit=META.MAX_SERIES, offset=0):
"""Get a list of drama series
@param str sort pick how results should be sorted, should be one
of META.SORT_*
@param int limit limit number of series to return, there doesn't
seem to be an upper bound
@param int offset list series starting from this offset, for pagination
@return list<crunchyroll.models.Series>
"""
result = self._android_api.list_series(
media_type=ANDROID.MEDIA_TYPE_DRAMA,
filter=sort,
limit=limit,
offset=offset)
return result
|
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Get a list of drama series
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seem to be an upper bound
@param int offset list series starting from this offset, for pagination
@return list<crunchyroll.models.Series>
|
[
"Get",
"a",
"list",
"of",
"drama",
"series"
] |
train
|
https://github.com/aheadley/python-crunchyroll/blob/9bf2eb644f0d0f3e9dc21b95b8e355c6e2050178/crunchyroll/apis/meta.py#L232-L247
|
aheadley/python-crunchyroll
|
crunchyroll/apis/meta.py
|
MetaApi.list_manga_series
|
def list_manga_series(self, filter=None, content_type='jp_manga'):
"""Get a list of manga series
"""
result = self._manga_api.list_series(filter, content_type)
return result
|
python
|
def list_manga_series(self, filter=None, content_type='jp_manga'):
"""Get a list of manga series
"""
result = self._manga_api.list_series(filter, content_type)
return result
|
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Get a list of manga series
|
[
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train
|
https://github.com/aheadley/python-crunchyroll/blob/9bf2eb644f0d0f3e9dc21b95b8e355c6e2050178/crunchyroll/apis/meta.py#L251-L256
|
aheadley/python-crunchyroll
|
crunchyroll/apis/meta.py
|
MetaApi.search_anime_series
|
def search_anime_series(self, query_string):
"""Search anime series list by series name, case-sensitive
@param str query_string string to search for, note that the search
is very simplistic and only matches against
the start of the series name, ex) search
for "space" matches "Space Brothers" but
wouldn't match "Brothers Space"
@return list<crunchyroll.models.Series>
"""
result = self._android_api.list_series(
media_type=ANDROID.MEDIA_TYPE_ANIME,
filter=ANDROID.FILTER_PREFIX + query_string)
return result
|
python
|
def search_anime_series(self, query_string):
"""Search anime series list by series name, case-sensitive
@param str query_string string to search for, note that the search
is very simplistic and only matches against
the start of the series name, ex) search
for "space" matches "Space Brothers" but
wouldn't match "Brothers Space"
@return list<crunchyroll.models.Series>
"""
result = self._android_api.list_series(
media_type=ANDROID.MEDIA_TYPE_ANIME,
filter=ANDROID.FILTER_PREFIX + query_string)
return result
|
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Search anime series list by series name, case-sensitive
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@return list<crunchyroll.models.Series>
|
[
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"-",
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train
|
https://github.com/aheadley/python-crunchyroll/blob/9bf2eb644f0d0f3e9dc21b95b8e355c6e2050178/crunchyroll/apis/meta.py#L260-L273
|
aheadley/python-crunchyroll
|
crunchyroll/apis/meta.py
|
MetaApi.search_drama_series
|
def search_drama_series(self, query_string):
"""Search drama series list by series name, case-sensitive
@param str query_string string to search for, note that the search
is very simplistic and only matches against
the start of the series name, ex) search
for "space" matches "Space Brothers" but
wouldn't match "Brothers Space"
@return list<crunchyroll.models.Series>
"""
result = self._android_api.list_series(
media_type=ANDROID.MEDIA_TYPE_DRAMA,
filter=ANDROID.FILTER_PREFIX + query_string)
return result
|
python
|
def search_drama_series(self, query_string):
"""Search drama series list by series name, case-sensitive
@param str query_string string to search for, note that the search
is very simplistic and only matches against
the start of the series name, ex) search
for "space" matches "Space Brothers" but
wouldn't match "Brothers Space"
@return list<crunchyroll.models.Series>
"""
result = self._android_api.list_series(
media_type=ANDROID.MEDIA_TYPE_DRAMA,
filter=ANDROID.FILTER_PREFIX + query_string)
return result
|
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Search drama series list by series name, case-sensitive
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for "space" matches "Space Brothers" but
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@return list<crunchyroll.models.Series>
|
[
"Search",
"drama",
"series",
"list",
"by",
"series",
"name",
"case",
"-",
"sensitive"
] |
train
|
https://github.com/aheadley/python-crunchyroll/blob/9bf2eb644f0d0f3e9dc21b95b8e355c6e2050178/crunchyroll/apis/meta.py#L277-L290
|
aheadley/python-crunchyroll
|
crunchyroll/apis/meta.py
|
MetaApi.search_manga_series
|
def search_manga_series(self, query_string):
"""Search the manga series list by name, case-insensitive
@param str query_string
@return list<crunchyroll.models.Series>
"""
result = self._manga_api.list_series()
return [series for series in result \
if series['locale']['enUS']['name'].lower().startswith(
query_string.lower())]
|
python
|
def search_manga_series(self, query_string):
"""Search the manga series list by name, case-insensitive
@param str query_string
@return list<crunchyroll.models.Series>
"""
result = self._manga_api.list_series()
return [series for series in result \
if series['locale']['enUS']['name'].lower().startswith(
query_string.lower())]
|
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|
[
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train
|
https://github.com/aheadley/python-crunchyroll/blob/9bf2eb644f0d0f3e9dc21b95b8e355c6e2050178/crunchyroll/apis/meta.py#L294-L305
|
aheadley/python-crunchyroll
|
crunchyroll/apis/meta.py
|
MetaApi.list_media
|
def list_media(self, series, sort=META.SORT_DESC, limit=META.MAX_MEDIA, offset=0):
"""List media for a given series or collection
@param crunchyroll.models.Series series the series to search for
@param str sort choose the ordering of the
results, only META.SORT_DESC
is known to work
@param int limit limit size of results
@param int offset start results from this index,
for pagination
@return list<crunchyroll.models.Media>
"""
params = {
'sort': sort,
'offset': offset,
'limit': limit,
}
params.update(self._get_series_query_dict(series))
result = self._android_api.list_media(**params)
return result
|
python
|
def list_media(self, series, sort=META.SORT_DESC, limit=META.MAX_MEDIA, offset=0):
"""List media for a given series or collection
@param crunchyroll.models.Series series the series to search for
@param str sort choose the ordering of the
results, only META.SORT_DESC
is known to work
@param int limit limit size of results
@param int offset start results from this index,
for pagination
@return list<crunchyroll.models.Media>
"""
params = {
'sort': sort,
'offset': offset,
'limit': limit,
}
params.update(self._get_series_query_dict(series))
result = self._android_api.list_media(**params)
return result
|
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List media for a given series or collection
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@param int limit limit size of results
@param int offset start results from this index,
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@return list<crunchyroll.models.Media>
|
[
"List",
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"or",
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] |
train
|
https://github.com/aheadley/python-crunchyroll/blob/9bf2eb644f0d0f3e9dc21b95b8e355c6e2050178/crunchyroll/apis/meta.py#L309-L328
|
aheadley/python-crunchyroll
|
crunchyroll/apis/meta.py
|
MetaApi.search_media
|
def search_media(self, series, query_string):
"""Search for media from a series starting with query_string, case-sensitive
@param crunchyroll.models.Series series the series to search in
@param str query_string the search query, same restrictions
as `search_anime_series`
@return list<crunchyroll.models.Media>
"""
params = {
'sort': ANDROID.FILTER_PREFIX + query_string,
}
params.update(self._get_series_query_dict(series))
result = self._android_api.list_media(**params)
return result
|
python
|
def search_media(self, series, query_string):
"""Search for media from a series starting with query_string, case-sensitive
@param crunchyroll.models.Series series the series to search in
@param str query_string the search query, same restrictions
as `search_anime_series`
@return list<crunchyroll.models.Media>
"""
params = {
'sort': ANDROID.FILTER_PREFIX + query_string,
}
params.update(self._get_series_query_dict(series))
result = self._android_api.list_media(**params)
return result
|
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Search for media from a series starting with query_string, case-sensitive
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@return list<crunchyroll.models.Media>
|
[
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"-",
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] |
train
|
https://github.com/aheadley/python-crunchyroll/blob/9bf2eb644f0d0f3e9dc21b95b8e355c6e2050178/crunchyroll/apis/meta.py#L359-L372
|
aheadley/python-crunchyroll
|
crunchyroll/apis/meta.py
|
MetaApi.get_media_stream
|
def get_media_stream(self, media_item, format, quality):
"""Get the stream data for a given media item
@param crunchyroll.models.Media media_item
@param int format
@param int quality
@return crunchyroll.models.MediaStream
"""
result = self._ajax_api.VideoPlayer_GetStandardConfig(
media_id=media_item.media_id,
video_format=format,
video_quality=quality)
return MediaStream(result)
|
python
|
def get_media_stream(self, media_item, format, quality):
"""Get the stream data for a given media item
@param crunchyroll.models.Media media_item
@param int format
@param int quality
@return crunchyroll.models.MediaStream
"""
result = self._ajax_api.VideoPlayer_GetStandardConfig(
media_id=media_item.media_id,
video_format=format,
video_quality=quality)
return MediaStream(result)
|
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Get the stream data for a given media item
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|
[
"Get",
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] |
train
|
https://github.com/aheadley/python-crunchyroll/blob/9bf2eb644f0d0f3e9dc21b95b8e355c6e2050178/crunchyroll/apis/meta.py#L375-L387
|
aheadley/python-crunchyroll
|
crunchyroll/apis/meta.py
|
MetaApi.unfold_subtitle_stub
|
def unfold_subtitle_stub(self, subtitle_stub):
"""Turn a SubtitleStub into a full Subtitle object
@param crunchyroll.models.SubtitleStub subtitle_stub
@return crunchyroll.models.Subtitle
"""
return Subtitle(self._ajax_api.Subtitle_GetXml(
subtitle_script_id=int(subtitle_stub.id)))
|
python
|
def unfold_subtitle_stub(self, subtitle_stub):
"""Turn a SubtitleStub into a full Subtitle object
@param crunchyroll.models.SubtitleStub subtitle_stub
@return crunchyroll.models.Subtitle
"""
return Subtitle(self._ajax_api.Subtitle_GetXml(
subtitle_script_id=int(subtitle_stub.id)))
|
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"=",
"int",
"(",
"subtitle_stub",
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"id",
")",
")",
")"
] |
Turn a SubtitleStub into a full Subtitle object
@param crunchyroll.models.SubtitleStub subtitle_stub
@return crunchyroll.models.Subtitle
|
[
"Turn",
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"SubtitleStub",
"into",
"a",
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"Subtitle",
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] |
train
|
https://github.com/aheadley/python-crunchyroll/blob/9bf2eb644f0d0f3e9dc21b95b8e355c6e2050178/crunchyroll/apis/meta.py#L402-L409
|
aheadley/python-crunchyroll
|
crunchyroll/apis/meta.py
|
MetaApi.get_stream_formats
|
def get_stream_formats(self, media_item):
"""Get the available media formats for a given media item
@param crunchyroll.models.Media
@return dict
"""
scraper = ScraperApi(self._ajax_api._connector)
formats = scraper.get_media_formats(media_item.media_id)
return formats
|
python
|
def get_stream_formats(self, media_item):
"""Get the available media formats for a given media item
@param crunchyroll.models.Media
@return dict
"""
scraper = ScraperApi(self._ajax_api._connector)
formats = scraper.get_media_formats(media_item.media_id)
return formats
|
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Get the available media formats for a given media item
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|
[
"Get",
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train
|
https://github.com/aheadley/python-crunchyroll/blob/9bf2eb644f0d0f3e9dc21b95b8e355c6e2050178/crunchyroll/apis/meta.py#L412-L420
|
aheadley/python-crunchyroll
|
crunchyroll/apis/meta.py
|
MetaApi.list_queue
|
def list_queue(self, media_types=[META.TYPE_ANIME, META.TYPE_DRAMA]):
"""List the series in the queue, optionally filtering by type of media
@param list<str> media_types a list of media types to filter the queue
with, should be of META.TYPE_*
@return list<crunchyroll.models.Series>
"""
result = self._android_api.queue(media_types='|'.join(media_types))
return [queue_item['series'] for queue_item in result]
|
python
|
def list_queue(self, media_types=[META.TYPE_ANIME, META.TYPE_DRAMA]):
"""List the series in the queue, optionally filtering by type of media
@param list<str> media_types a list of media types to filter the queue
with, should be of META.TYPE_*
@return list<crunchyroll.models.Series>
"""
result = self._android_api.queue(media_types='|'.join(media_types))
return [queue_item['series'] for queue_item in result]
|
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List the series in the queue, optionally filtering by type of media
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[
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] |
train
|
https://github.com/aheadley/python-crunchyroll/blob/9bf2eb644f0d0f3e9dc21b95b8e355c6e2050178/crunchyroll/apis/meta.py#L424-L432
|
aheadley/python-crunchyroll
|
crunchyroll/apis/meta.py
|
MetaApi.add_to_queue
|
def add_to_queue(self, series):
"""Add a series to the queue
@param crunchyroll.models.Series series
@return bool
"""
result = self._android_api.add_to_queue(series_id=series.series_id)
return result
|
python
|
def add_to_queue(self, series):
"""Add a series to the queue
@param crunchyroll.models.Series series
@return bool
"""
result = self._android_api.add_to_queue(series_id=series.series_id)
return result
|
[
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"add_to_queue",
"(",
"series_id",
"=",
"series",
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"series_id",
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"return",
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] |
Add a series to the queue
@param crunchyroll.models.Series series
@return bool
|
[
"Add",
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"series",
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"the",
"queue"
] |
train
|
https://github.com/aheadley/python-crunchyroll/blob/9bf2eb644f0d0f3e9dc21b95b8e355c6e2050178/crunchyroll/apis/meta.py#L435-L442
|
aheadley/python-crunchyroll
|
crunchyroll/apis/meta.py
|
MetaApi.remove_from_queue
|
def remove_from_queue(self, series):
"""Remove a series from the queue
@param crunchyroll.models.Series series
@return bool
"""
result = self._android_api.remove_from_queue(series_id=series.series_id)
return result
|
python
|
def remove_from_queue(self, series):
"""Remove a series from the queue
@param crunchyroll.models.Series series
@return bool
"""
result = self._android_api.remove_from_queue(series_id=series.series_id)
return result
|
[
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"remove_from_queue",
"(",
"series_id",
"=",
"series",
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"series_id",
")",
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] |
Remove a series from the queue
@param crunchyroll.models.Series series
@return bool
|
[
"Remove",
"a",
"series",
"from",
"the",
"queue"
] |
train
|
https://github.com/aheadley/python-crunchyroll/blob/9bf2eb644f0d0f3e9dc21b95b8e355c6e2050178/crunchyroll/apis/meta.py#L445-L452
|
vberlier/nbtlib
|
nbtlib/schema.py
|
schema
|
def schema(name, dct, *, strict=False):
"""Create a compound tag schema.
This function is a short convenience function that makes it easy to
subclass the base `CompoundSchema` class.
The `name` argument is the name of the class and `dct` should be a
dictionnary containing the actual schema. The schema should map keys
to tag types or other compound schemas.
If the `strict` keyword only argument is set to True, interacting
with keys that are not defined in the schema will raise a
`TypeError`.
"""
return type(name, (CompoundSchema,), {'__slots__': (), 'schema': dct,
'strict': strict})
|
python
|
def schema(name, dct, *, strict=False):
"""Create a compound tag schema.
This function is a short convenience function that makes it easy to
subclass the base `CompoundSchema` class.
The `name` argument is the name of the class and `dct` should be a
dictionnary containing the actual schema. The schema should map keys
to tag types or other compound schemas.
If the `strict` keyword only argument is set to True, interacting
with keys that are not defined in the schema will raise a
`TypeError`.
"""
return type(name, (CompoundSchema,), {'__slots__': (), 'schema': dct,
'strict': strict})
|
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Create a compound tag schema.
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dictionnary containing the actual schema. The schema should map keys
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If the `strict` keyword only argument is set to True, interacting
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train
|
https://github.com/vberlier/nbtlib/blob/9c9d58b5c4a530b0f1ffd76dda176f00406c3547/nbtlib/schema.py#L17-L32
|
vberlier/nbtlib
|
nbtlib/schema.py
|
CompoundSchema.cast_item
|
def cast_item(cls, key, value):
"""Cast schema item to the appropriate tag type."""
schema_type = cls.schema.get(key)
if schema_type is None:
if cls.strict:
raise TypeError(f'Invalid key {key!r}')
elif not isinstance(value, schema_type):
try:
return schema_type(value)
except CastError:
raise
except Exception as exc:
raise CastError(value, schema_type) from exc
return value
|
python
|
def cast_item(cls, key, value):
"""Cast schema item to the appropriate tag type."""
schema_type = cls.schema.get(key)
if schema_type is None:
if cls.strict:
raise TypeError(f'Invalid key {key!r}')
elif not isinstance(value, schema_type):
try:
return schema_type(value)
except CastError:
raise
except Exception as exc:
raise CastError(value, schema_type) from exc
return value
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train
|
https://github.com/vberlier/nbtlib/blob/9c9d58b5c4a530b0f1ffd76dda176f00406c3547/nbtlib/schema.py#L73-L86
|
ales-erjavec/anyqt
|
AnyQt/_backport/_utils.py
|
obsolete_rename
|
def obsolete_rename(oldname, newfunc):
"""
Simple obsolete/removed method decorator
Parameters
----------
oldname : str
The name of the old obsolete name
newfunc : FunctionType
Replacement unbound member function.
"""
newname = newfunc.__name__
def __obsolete(*args, **kwargs):
warnings.warn(
"{oldname} is obsolete and is removed in PyQt5. "
"Use {newname} instead.".format(oldname=oldname, newname=newname),
DeprecationWarning,
stacklevel=2
)
return newfunc(*args, **kwargs)
__obsolete.__name__ = oldname
return __obsolete
|
python
|
def obsolete_rename(oldname, newfunc):
"""
Simple obsolete/removed method decorator
Parameters
----------
oldname : str
The name of the old obsolete name
newfunc : FunctionType
Replacement unbound member function.
"""
newname = newfunc.__name__
def __obsolete(*args, **kwargs):
warnings.warn(
"{oldname} is obsolete and is removed in PyQt5. "
"Use {newname} instead.".format(oldname=oldname, newname=newname),
DeprecationWarning,
stacklevel=2
)
return newfunc(*args, **kwargs)
__obsolete.__name__ = oldname
return __obsolete
|
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Simple obsolete/removed method decorator
Parameters
----------
oldname : str
The name of the old obsolete name
newfunc : FunctionType
Replacement unbound member function.
|
[
"Simple",
"obsolete",
"/",
"removed",
"method",
"decorator"
] |
train
|
https://github.com/ales-erjavec/anyqt/blob/07b73c5ccb8f73f70fc6566249c0c7228fc9b921/AnyQt/_backport/_utils.py#L4-L25
|
zagaran/mongobackup
|
mongobackup/shell.py
|
call
|
def call(command, silent=False):
""" Runs a bash command safely, with shell=false, catches any non-zero
return codes. Raises slightly modified CalledProcessError exceptions
on failures.
Note: command is a string and cannot include pipes."""
try:
if silent:
with open(os.devnull, 'w') as FNULL:
return subprocess.check_call(command_to_array(command), stdout=FNULL)
else:
# Using the defaults, shell=False, no i/o redirection.
return check_call(command_to_array(command))
except CalledProcessError as e:
# We are modifying the error itself for 2 reasons. 1) it WILL contain
# login credentials when run_mongodump is run, 2) CalledProcessError is
# slightly not-to-spec (the message variable is blank), which means
# cronutils.ErrorHandler would report unlabeled stack traces.
e.message = "%s failed with error code %s" % (e.cmd[0], e.returncode)
e.cmd = e.cmd[0] + " [arguments stripped for security]"
raise e
|
python
|
def call(command, silent=False):
""" Runs a bash command safely, with shell=false, catches any non-zero
return codes. Raises slightly modified CalledProcessError exceptions
on failures.
Note: command is a string and cannot include pipes."""
try:
if silent:
with open(os.devnull, 'w') as FNULL:
return subprocess.check_call(command_to_array(command), stdout=FNULL)
else:
# Using the defaults, shell=False, no i/o redirection.
return check_call(command_to_array(command))
except CalledProcessError as e:
# We are modifying the error itself for 2 reasons. 1) it WILL contain
# login credentials when run_mongodump is run, 2) CalledProcessError is
# slightly not-to-spec (the message variable is blank), which means
# cronutils.ErrorHandler would report unlabeled stack traces.
e.message = "%s failed with error code %s" % (e.cmd[0], e.returncode)
e.cmd = e.cmd[0] + " [arguments stripped for security]"
raise e
|
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|
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] |
train
|
https://github.com/zagaran/mongobackup/blob/d090d0cca44ecd066974c4de80edca5f26b7eeea/mongobackup/shell.py#L35-L54
|
zagaran/mongobackup
|
mongobackup/shell.py
|
tarbz
|
def tarbz(source_directory_path, output_file_full_path, silent=False):
""" Tars and bzips a directory, preserving as much metadata as possible.
Adds '.tbz' to the provided output file name. """
output_directory_path = output_file_full_path.rsplit("/", 1)[0]
create_folders(output_directory_path)
# Note: default compression for bzip is supposed to be -9, highest compression.
full_tar_file_path = output_file_full_path + ".tbz"
if path.exists(full_tar_file_path):
raise Exception("%s already exists, aborting." % (full_tar_file_path))
# preserve permissions, create file, use files (not tape devices), preserve
# access time. tar is the only program in the universe to use (dstn, src).
tar_command = ("tar jpcfvC %s %s %s" %
(full_tar_file_path, source_directory_path, "./"))
call(tar_command, silent=silent)
return full_tar_file_path
|
python
|
def tarbz(source_directory_path, output_file_full_path, silent=False):
""" Tars and bzips a directory, preserving as much metadata as possible.
Adds '.tbz' to the provided output file name. """
output_directory_path = output_file_full_path.rsplit("/", 1)[0]
create_folders(output_directory_path)
# Note: default compression for bzip is supposed to be -9, highest compression.
full_tar_file_path = output_file_full_path + ".tbz"
if path.exists(full_tar_file_path):
raise Exception("%s already exists, aborting." % (full_tar_file_path))
# preserve permissions, create file, use files (not tape devices), preserve
# access time. tar is the only program in the universe to use (dstn, src).
tar_command = ("tar jpcfvC %s %s %s" %
(full_tar_file_path, source_directory_path, "./"))
call(tar_command, silent=silent)
return full_tar_file_path
|
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|
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] |
train
|
https://github.com/zagaran/mongobackup/blob/d090d0cca44ecd066974c4de80edca5f26b7eeea/mongobackup/shell.py#L64-L79
|
zagaran/mongobackup
|
mongobackup/shell.py
|
untarbz
|
def untarbz(source_file_path, output_directory_path, silent=False):
""" Restores your mongo database backup from a .tbz created using this library.
This function will ensure that a directory is created at the file path
if one does not exist already.
If used in conjunction with this library's mongodump operation, the backup
data will be extracted directly into the provided directory path.
This command will fail if the output directory is not empty as existing files
with identical names are not overwritten by tar. """
if not path.exists(source_file_path):
raise Exception("the provided tar file %s does not exist." % (source_file_path))
if output_directory_path[0:1] == "./":
output_directory_path = path.abspath(output_directory_path)
if output_directory_path[0] != "/":
raise Exception("your output directory path must start with '/' or './'; you used: %s"
% (output_directory_path))
create_folders(output_directory_path)
if listdir(output_directory_path):
raise Exception("Your output directory isn't empty. Aborting as "
+ "exiting files are not overwritten by tar.")
untar_command = ("tar jxfvkCp %s %s --atime-preserve " %
(source_file_path, output_directory_path))
call(untar_command, silent=silent)
|
python
|
def untarbz(source_file_path, output_directory_path, silent=False):
""" Restores your mongo database backup from a .tbz created using this library.
This function will ensure that a directory is created at the file path
if one does not exist already.
If used in conjunction with this library's mongodump operation, the backup
data will be extracted directly into the provided directory path.
This command will fail if the output directory is not empty as existing files
with identical names are not overwritten by tar. """
if not path.exists(source_file_path):
raise Exception("the provided tar file %s does not exist." % (source_file_path))
if output_directory_path[0:1] == "./":
output_directory_path = path.abspath(output_directory_path)
if output_directory_path[0] != "/":
raise Exception("your output directory path must start with '/' or './'; you used: %s"
% (output_directory_path))
create_folders(output_directory_path)
if listdir(output_directory_path):
raise Exception("Your output directory isn't empty. Aborting as "
+ "exiting files are not overwritten by tar.")
untar_command = ("tar jxfvkCp %s %s --atime-preserve " %
(source_file_path, output_directory_path))
call(untar_command, silent=silent)
|
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Restores your mongo database backup from a .tbz created using this library.
This function will ensure that a directory is created at the file path
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If used in conjunction with this library's mongodump operation, the backup
data will be extracted directly into the provided directory path.
This command will fail if the output directory is not empty as existing files
with identical names are not overwritten by tar.
|
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] |
train
|
https://github.com/zagaran/mongobackup/blob/d090d0cca44ecd066974c4de80edca5f26b7eeea/mongobackup/shell.py#L82-L108
|
gdub/python-simpleldap
|
simpleldap/__init__.py
|
LDAPItem.value_contains
|
def value_contains(self, value, attribute):
"""
Determine if any of the items in the value list for the given
attribute contain value.
"""
for item in self[attribute]:
if value in item:
return True
return False
|
python
|
def value_contains(self, value, attribute):
"""
Determine if any of the items in the value list for the given
attribute contain value.
"""
for item in self[attribute]:
if value in item:
return True
return False
|
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":",
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Determine if any of the items in the value list for the given
attribute contain value.
|
[
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"attribute",
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"."
] |
train
|
https://github.com/gdub/python-simpleldap/blob/a833f444d90ad2f3fe779c3e2cb08350052fedc8/simpleldap/__init__.py#L64-L72
|
gdub/python-simpleldap
|
simpleldap/__init__.py
|
Connection.clear_search_defaults
|
def clear_search_defaults(self, args=None):
"""
Clear all search defaults specified by the list of parameter names
given as ``args``. If ``args`` is not given, then clear all existing
search defaults.
Examples::
conn.set_search_defaults(scope=ldap.SCOPE_BASE, attrs=['cn'])
conn.clear_search_defaults(['scope'])
conn.clear_search_defaults()
"""
if args is None:
self._search_defaults.clear()
else:
for arg in args:
if arg in self._search_defaults:
del self._search_defaults[arg]
|
python
|
def clear_search_defaults(self, args=None):
"""
Clear all search defaults specified by the list of parameter names
given as ``args``. If ``args`` is not given, then clear all existing
search defaults.
Examples::
conn.set_search_defaults(scope=ldap.SCOPE_BASE, attrs=['cn'])
conn.clear_search_defaults(['scope'])
conn.clear_search_defaults()
"""
if args is None:
self._search_defaults.clear()
else:
for arg in args:
if arg in self._search_defaults:
del self._search_defaults[arg]
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conn.set_search_defaults(scope=ldap.SCOPE_BASE, attrs=['cn'])
conn.clear_search_defaults(['scope'])
conn.clear_search_defaults()
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train
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https://github.com/gdub/python-simpleldap/blob/a833f444d90ad2f3fe779c3e2cb08350052fedc8/simpleldap/__init__.py#L188-L205
|
gdub/python-simpleldap
|
simpleldap/__init__.py
|
Connection.search
|
def search(self, filter, base_dn=None, attrs=None, scope=None,
timeout=None, limit=None):
"""
Search the directory.
"""
if base_dn is None:
base_dn = self._search_defaults.get('base_dn', '')
if attrs is None:
attrs = self._search_defaults.get('attrs', None)
if scope is None:
scope = self._search_defaults.get('scope', ldap.SCOPE_SUBTREE)
if timeout is None:
timeout = self._search_defaults.get('timeout', -1)
if limit is None:
limit = self._search_defaults.get('limit', 0)
results = self.connection.search_ext_s(
base_dn, scope, filter, attrs, timeout=timeout, sizelimit=limit)
return self.to_items(results)
|
python
|
def search(self, filter, base_dn=None, attrs=None, scope=None,
timeout=None, limit=None):
"""
Search the directory.
"""
if base_dn is None:
base_dn = self._search_defaults.get('base_dn', '')
if attrs is None:
attrs = self._search_defaults.get('attrs', None)
if scope is None:
scope = self._search_defaults.get('scope', ldap.SCOPE_SUBTREE)
if timeout is None:
timeout = self._search_defaults.get('timeout', -1)
if limit is None:
limit = self._search_defaults.get('limit', 0)
results = self.connection.search_ext_s(
base_dn, scope, filter, attrs, timeout=timeout, sizelimit=limit)
return self.to_items(results)
|
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[
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train
|
https://github.com/gdub/python-simpleldap/blob/a833f444d90ad2f3fe779c3e2cb08350052fedc8/simpleldap/__init__.py#L219-L237
|
gdub/python-simpleldap
|
simpleldap/__init__.py
|
Connection.get
|
def get(self, *args, **kwargs):
"""
Get a single object.
This is a convenience wrapper for the search method that checks that
only one object was returned, and returns that single object instead
of a list. This method takes the exact same arguments as search.
"""
results = self.search(*args, **kwargs)
num_results = len(results)
if num_results == 1:
return results[0]
if num_results > 1:
raise MultipleObjectsFound()
raise ObjectNotFound()
|
python
|
def get(self, *args, **kwargs):
"""
Get a single object.
This is a convenience wrapper for the search method that checks that
only one object was returned, and returns that single object instead
of a list. This method takes the exact same arguments as search.
"""
results = self.search(*args, **kwargs)
num_results = len(results)
if num_results == 1:
return results[0]
if num_results > 1:
raise MultipleObjectsFound()
raise ObjectNotFound()
|
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Get a single object.
This is a convenience wrapper for the search method that checks that
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of a list. This method takes the exact same arguments as search.
|
[
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] |
train
|
https://github.com/gdub/python-simpleldap/blob/a833f444d90ad2f3fe779c3e2cb08350052fedc8/simpleldap/__init__.py#L239-L253
|
gdub/python-simpleldap
|
simpleldap/__init__.py
|
Connection.authenticate
|
def authenticate(self, dn='', password=''):
"""
Attempt to authenticate given dn and password using a bind operation.
Return True if the bind is successful, and return False there was an
exception raised that is contained in
self.failed_authentication_exceptions.
"""
try:
self.connection.simple_bind_s(dn, password)
except tuple(self.failed_authentication_exceptions):
return False
else:
return True
|
python
|
def authenticate(self, dn='', password=''):
"""
Attempt to authenticate given dn and password using a bind operation.
Return True if the bind is successful, and return False there was an
exception raised that is contained in
self.failed_authentication_exceptions.
"""
try:
self.connection.simple_bind_s(dn, password)
except tuple(self.failed_authentication_exceptions):
return False
else:
return True
|
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Attempt to authenticate given dn and password using a bind operation.
Return True if the bind is successful, and return False there was an
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train
|
https://github.com/gdub/python-simpleldap/blob/a833f444d90ad2f3fe779c3e2cb08350052fedc8/simpleldap/__init__.py#L262-L274
|
gdub/python-simpleldap
|
simpleldap/__init__.py
|
Connection.compare
|
def compare(self, dn, attr, value):
"""
Compare the ``attr`` of the entry ``dn`` with given ``value``.
This is a convenience wrapper for the ldap library's ``compare``
function that returns a boolean value instead of 1 or 0.
"""
return self.connection.compare_s(dn, attr, value) == 1
|
python
|
def compare(self, dn, attr, value):
"""
Compare the ``attr`` of the entry ``dn`` with given ``value``.
This is a convenience wrapper for the ldap library's ``compare``
function that returns a boolean value instead of 1 or 0.
"""
return self.connection.compare_s(dn, attr, value) == 1
|
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Compare the ``attr`` of the entry ``dn`` with given ``value``.
This is a convenience wrapper for the ldap library's ``compare``
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|
[
"Compare",
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] |
train
|
https://github.com/gdub/python-simpleldap/blob/a833f444d90ad2f3fe779c3e2cb08350052fedc8/simpleldap/__init__.py#L276-L283
|
crccheck/cloudwatch-to-graphite
|
plumbum.py
|
get_property_func
|
def get_property_func(key):
"""
Get the accessor function for an instance to look for `key`.
Look for it as an attribute, and if that does not work, look to see if it
is a tag.
"""
def get_it(obj):
try:
return getattr(obj, key)
except AttributeError:
return obj.tags.get(key)
return get_it
|
python
|
def get_property_func(key):
"""
Get the accessor function for an instance to look for `key`.
Look for it as an attribute, and if that does not work, look to see if it
is a tag.
"""
def get_it(obj):
try:
return getattr(obj, key)
except AttributeError:
return obj.tags.get(key)
return get_it
|
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Get the accessor function for an instance to look for `key`.
Look for it as an attribute, and if that does not work, look to see if it
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[
"Get",
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] |
train
|
https://github.com/crccheck/cloudwatch-to-graphite/blob/28a11ee56f7231cef6b6f8af142a8aab3d2eb5a6/plumbum.py#L59-L71
|
crccheck/cloudwatch-to-graphite
|
plumbum.py
|
list_billing
|
def list_billing(region, filter_by_kwargs):
"""List available billing metrics"""
conn = boto.ec2.cloudwatch.connect_to_region(region)
metrics = conn.list_metrics(metric_name='EstimatedCharges')
# Filtering is based on metric Dimensions. Only really valuable one is
# ServiceName.
if filter_by_kwargs:
filter_key = filter_by_kwargs.keys()[0]
filter_value = filter_by_kwargs.values()[0]
if filter_value:
filtered_metrics = [x for x in metrics if x.dimensions.get(filter_key) and x.dimensions.get(filter_key)[0] == filter_value]
else:
# ServiceName=''
filtered_metrics = [x for x in metrics if not x.dimensions.get(filter_key)]
else:
filtered_metrics = metrics
return filtered_metrics
|
python
|
def list_billing(region, filter_by_kwargs):
"""List available billing metrics"""
conn = boto.ec2.cloudwatch.connect_to_region(region)
metrics = conn.list_metrics(metric_name='EstimatedCharges')
# Filtering is based on metric Dimensions. Only really valuable one is
# ServiceName.
if filter_by_kwargs:
filter_key = filter_by_kwargs.keys()[0]
filter_value = filter_by_kwargs.values()[0]
if filter_value:
filtered_metrics = [x for x in metrics if x.dimensions.get(filter_key) and x.dimensions.get(filter_key)[0] == filter_value]
else:
# ServiceName=''
filtered_metrics = [x for x in metrics if not x.dimensions.get(filter_key)]
else:
filtered_metrics = metrics
return filtered_metrics
|
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] |
List available billing metrics
|
[
"List",
"available",
"billing",
"metrics"
] |
train
|
https://github.com/crccheck/cloudwatch-to-graphite/blob/28a11ee56f7231cef6b6f8af142a8aab3d2eb5a6/plumbum.py#L111-L127
|
crccheck/cloudwatch-to-graphite
|
plumbum.py
|
list_cloudfront
|
def list_cloudfront(region, filter_by_kwargs):
"""List running ec2 instances."""
conn = boto.connect_cloudfront()
instances = conn.get_all_distributions()
return lookup(instances, filter_by=filter_by_kwargs)
|
python
|
def list_cloudfront(region, filter_by_kwargs):
"""List running ec2 instances."""
conn = boto.connect_cloudfront()
instances = conn.get_all_distributions()
return lookup(instances, filter_by=filter_by_kwargs)
|
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List running ec2 instances.
|
[
"List",
"running",
"ec2",
"instances",
"."
] |
train
|
https://github.com/crccheck/cloudwatch-to-graphite/blob/28a11ee56f7231cef6b6f8af142a8aab3d2eb5a6/plumbum.py#L130-L134
|
crccheck/cloudwatch-to-graphite
|
plumbum.py
|
list_ec2
|
def list_ec2(region, filter_by_kwargs):
"""List running ec2 instances."""
conn = boto.ec2.connect_to_region(region)
instances = conn.get_only_instances()
return lookup(instances, filter_by=filter_by_kwargs)
|
python
|
def list_ec2(region, filter_by_kwargs):
"""List running ec2 instances."""
conn = boto.ec2.connect_to_region(region)
instances = conn.get_only_instances()
return lookup(instances, filter_by=filter_by_kwargs)
|
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List running ec2 instances.
|
[
"List",
"running",
"ec2",
"instances",
"."
] |
train
|
https://github.com/crccheck/cloudwatch-to-graphite/blob/28a11ee56f7231cef6b6f8af142a8aab3d2eb5a6/plumbum.py#L137-L141
|
crccheck/cloudwatch-to-graphite
|
plumbum.py
|
list_ebs
|
def list_ebs(region, filter_by_kwargs):
"""List running ebs volumes."""
conn = boto.ec2.connect_to_region(region)
instances = conn.get_all_volumes()
return lookup(instances, filter_by=filter_by_kwargs)
|
python
|
def list_ebs(region, filter_by_kwargs):
"""List running ebs volumes."""
conn = boto.ec2.connect_to_region(region)
instances = conn.get_all_volumes()
return lookup(instances, filter_by=filter_by_kwargs)
|
[
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List running ebs volumes.
|
[
"List",
"running",
"ebs",
"volumes",
"."
] |
train
|
https://github.com/crccheck/cloudwatch-to-graphite/blob/28a11ee56f7231cef6b6f8af142a8aab3d2eb5a6/plumbum.py#L143-L147
|
crccheck/cloudwatch-to-graphite
|
plumbum.py
|
list_elb
|
def list_elb(region, filter_by_kwargs):
"""List all load balancers."""
conn = boto.ec2.elb.connect_to_region(region)
instances = conn.get_all_load_balancers()
return lookup(instances, filter_by=filter_by_kwargs)
|
python
|
def list_elb(region, filter_by_kwargs):
"""List all load balancers."""
conn = boto.ec2.elb.connect_to_region(region)
instances = conn.get_all_load_balancers()
return lookup(instances, filter_by=filter_by_kwargs)
|
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"lookup",
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List all load balancers.
|
[
"List",
"all",
"load",
"balancers",
"."
] |
train
|
https://github.com/crccheck/cloudwatch-to-graphite/blob/28a11ee56f7231cef6b6f8af142a8aab3d2eb5a6/plumbum.py#L150-L154
|
crccheck/cloudwatch-to-graphite
|
plumbum.py
|
list_rds
|
def list_rds(region, filter_by_kwargs):
"""List all RDS thingys."""
conn = boto.rds.connect_to_region(region)
instances = conn.get_all_dbinstances()
return lookup(instances, filter_by=filter_by_kwargs)
|
python
|
def list_rds(region, filter_by_kwargs):
"""List all RDS thingys."""
conn = boto.rds.connect_to_region(region)
instances = conn.get_all_dbinstances()
return lookup(instances, filter_by=filter_by_kwargs)
|
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List all RDS thingys.
|
[
"List",
"all",
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"thingys",
"."
] |
train
|
https://github.com/crccheck/cloudwatch-to-graphite/blob/28a11ee56f7231cef6b6f8af142a8aab3d2eb5a6/plumbum.py#L157-L161
|
crccheck/cloudwatch-to-graphite
|
plumbum.py
|
list_elasticache
|
def list_elasticache(region, filter_by_kwargs):
"""List all ElastiCache Clusters."""
conn = boto.elasticache.connect_to_region(region)
req = conn.describe_cache_clusters()
data = req["DescribeCacheClustersResponse"]["DescribeCacheClustersResult"]["CacheClusters"]
if filter_by_kwargs:
clusters = [x['CacheClusterId'] for x in data if x[filter_by_kwargs.keys()[0]] == filter_by_kwargs.values()[0]]
else:
clusters = [x['CacheClusterId'] for x in data]
return clusters
|
python
|
def list_elasticache(region, filter_by_kwargs):
"""List all ElastiCache Clusters."""
conn = boto.elasticache.connect_to_region(region)
req = conn.describe_cache_clusters()
data = req["DescribeCacheClustersResponse"]["DescribeCacheClustersResult"]["CacheClusters"]
if filter_by_kwargs:
clusters = [x['CacheClusterId'] for x in data if x[filter_by_kwargs.keys()[0]] == filter_by_kwargs.values()[0]]
else:
clusters = [x['CacheClusterId'] for x in data]
return clusters
|
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List all ElastiCache Clusters.
|
[
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"."
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train
|
https://github.com/crccheck/cloudwatch-to-graphite/blob/28a11ee56f7231cef6b6f8af142a8aab3d2eb5a6/plumbum.py#L164-L173
|
crccheck/cloudwatch-to-graphite
|
plumbum.py
|
list_autoscaling_group
|
def list_autoscaling_group(region, filter_by_kwargs):
"""List all Auto Scaling Groups."""
conn = boto.ec2.autoscale.connect_to_region(region)
groups = conn.get_all_groups()
return lookup(groups, filter_by=filter_by_kwargs)
|
python
|
def list_autoscaling_group(region, filter_by_kwargs):
"""List all Auto Scaling Groups."""
conn = boto.ec2.autoscale.connect_to_region(region)
groups = conn.get_all_groups()
return lookup(groups, filter_by=filter_by_kwargs)
|
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List all Auto Scaling Groups.
|
[
"List",
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"Auto",
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"Groups",
"."
] |
train
|
https://github.com/crccheck/cloudwatch-to-graphite/blob/28a11ee56f7231cef6b6f8af142a8aab3d2eb5a6/plumbum.py#L176-L180
|
crccheck/cloudwatch-to-graphite
|
plumbum.py
|
list_sqs
|
def list_sqs(region, filter_by_kwargs):
"""List all SQS Queues."""
conn = boto.sqs.connect_to_region(region)
queues = conn.get_all_queues()
return lookup(queues, filter_by=filter_by_kwargs)
|
python
|
def list_sqs(region, filter_by_kwargs):
"""List all SQS Queues."""
conn = boto.sqs.connect_to_region(region)
queues = conn.get_all_queues()
return lookup(queues, filter_by=filter_by_kwargs)
|
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List all SQS Queues.
|
[
"List",
"all",
"SQS",
"Queues",
"."
] |
train
|
https://github.com/crccheck/cloudwatch-to-graphite/blob/28a11ee56f7231cef6b6f8af142a8aab3d2eb5a6/plumbum.py#L183-L187
|
crccheck/cloudwatch-to-graphite
|
plumbum.py
|
list_kinesis_applications
|
def list_kinesis_applications(region, filter_by_kwargs):
"""List all the kinesis applications along with the shards for each stream"""
conn = boto.kinesis.connect_to_region(region)
streams = conn.list_streams()['StreamNames']
kinesis_streams = {}
for stream_name in streams:
shard_ids = []
shards = conn.describe_stream(stream_name)['StreamDescription']['Shards']
for shard in shards:
shard_ids.append(shard['ShardId'])
kinesis_streams[stream_name] = shard_ids
return kinesis_streams
|
python
|
def list_kinesis_applications(region, filter_by_kwargs):
"""List all the kinesis applications along with the shards for each stream"""
conn = boto.kinesis.connect_to_region(region)
streams = conn.list_streams()['StreamNames']
kinesis_streams = {}
for stream_name in streams:
shard_ids = []
shards = conn.describe_stream(stream_name)['StreamDescription']['Shards']
for shard in shards:
shard_ids.append(shard['ShardId'])
kinesis_streams[stream_name] = shard_ids
return kinesis_streams
|
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List all the kinesis applications along with the shards for each stream
|
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train
|
https://github.com/crccheck/cloudwatch-to-graphite/blob/28a11ee56f7231cef6b6f8af142a8aab3d2eb5a6/plumbum.py#L190-L201
|
crccheck/cloudwatch-to-graphite
|
plumbum.py
|
list_dynamodb
|
def list_dynamodb(region, filter_by_kwargs):
"""List all DynamoDB tables."""
conn = boto.dynamodb.connect_to_region(region)
tables = conn.list_tables()
return lookup(tables, filter_by=filter_by_kwargs)
|
python
|
def list_dynamodb(region, filter_by_kwargs):
"""List all DynamoDB tables."""
conn = boto.dynamodb.connect_to_region(region)
tables = conn.list_tables()
return lookup(tables, filter_by=filter_by_kwargs)
|
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List all DynamoDB tables.
|
[
"List",
"all",
"DynamoDB",
"tables",
"."
] |
train
|
https://github.com/crccheck/cloudwatch-to-graphite/blob/28a11ee56f7231cef6b6f8af142a8aab3d2eb5a6/plumbum.py#L204-L208
|
pyslackers/slack-sansio
|
slack/actions.py
|
Router.register
|
def register(self, callback_id: str, handler: Any, name: str = "*") -> None:
"""
Register a new handler for a specific :class:`slack.actions.Action` `callback_id`.
Optional routing based on the action name too.
The name argument is useful for actions of type `interactive_message` to provide
a different handler for each individual action.
Args:
callback_id: Callback_id the handler is interested in
handler: Callback
name: Name of the action (optional).
"""
LOG.info("Registering %s, %s to %s", callback_id, name, handler)
if name not in self._routes[callback_id]:
self._routes[callback_id][name] = []
self._routes[callback_id][name].append(handler)
|
python
|
def register(self, callback_id: str, handler: Any, name: str = "*") -> None:
"""
Register a new handler for a specific :class:`slack.actions.Action` `callback_id`.
Optional routing based on the action name too.
The name argument is useful for actions of type `interactive_message` to provide
a different handler for each individual action.
Args:
callback_id: Callback_id the handler is interested in
handler: Callback
name: Name of the action (optional).
"""
LOG.info("Registering %s, %s to %s", callback_id, name, handler)
if name not in self._routes[callback_id]:
self._routes[callback_id][name] = []
self._routes[callback_id][name].append(handler)
|
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Args:
callback_id: Callback_id the handler is interested in
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train
|
https://github.com/pyslackers/slack-sansio/blob/068ddd6480c6d2f9bf14fa4db498c9fe1017f4ab/slack/actions.py#L82-L99
|
pyslackers/slack-sansio
|
slack/actions.py
|
Router.dispatch
|
def dispatch(self, action: Action) -> Any:
"""
Yields handlers matching the incoming :class:`slack.actions.Action` `callback_id`.
Args:
action: :class:`slack.actions.Action`
Yields:
handler
"""
LOG.debug("Dispatching action %s, %s", action["type"], action["callback_id"])
if action["type"] == "interactive_message":
yield from self._dispatch_interactive_message(action)
elif action["type"] in ("dialog_submission", "message_action"):
yield from self._dispatch_action(action)
else:
raise UnknownActionType(action)
|
python
|
def dispatch(self, action: Action) -> Any:
"""
Yields handlers matching the incoming :class:`slack.actions.Action` `callback_id`.
Args:
action: :class:`slack.actions.Action`
Yields:
handler
"""
LOG.debug("Dispatching action %s, %s", action["type"], action["callback_id"])
if action["type"] == "interactive_message":
yield from self._dispatch_interactive_message(action)
elif action["type"] in ("dialog_submission", "message_action"):
yield from self._dispatch_action(action)
else:
raise UnknownActionType(action)
|
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train
|
https://github.com/pyslackers/slack-sansio/blob/068ddd6480c6d2f9bf14fa4db498c9fe1017f4ab/slack/actions.py#L101-L118
|
ales-erjavec/anyqt
|
AnyQt/_api.py
|
comittoapi
|
def comittoapi(api):
"""
Commit to the use of specified Qt api.
Raise an error if another Qt api is already loaded in sys.modules
"""
global USED_API
assert USED_API is None, "committoapi called again!"
check = ["PyQt4", "PyQt5", "PySide", "PySide2"]
assert api in [QT_API_PYQT5, QT_API_PYQT4, QT_API_PYSIDE, QT_API_PYSIDE2]
for name in check:
if name.lower() != api and name in sys.modules:
raise RuntimeError(
"{} was already imported. Cannot commit to {}!"
.format(name, api)
)
else:
api = _intern(api)
USED_API = api
AnyQt.__SELECTED_API = api
AnyQt.USED_API = api
|
python
|
def comittoapi(api):
"""
Commit to the use of specified Qt api.
Raise an error if another Qt api is already loaded in sys.modules
"""
global USED_API
assert USED_API is None, "committoapi called again!"
check = ["PyQt4", "PyQt5", "PySide", "PySide2"]
assert api in [QT_API_PYQT5, QT_API_PYQT4, QT_API_PYSIDE, QT_API_PYSIDE2]
for name in check:
if name.lower() != api and name in sys.modules:
raise RuntimeError(
"{} was already imported. Cannot commit to {}!"
.format(name, api)
)
else:
api = _intern(api)
USED_API = api
AnyQt.__SELECTED_API = api
AnyQt.USED_API = api
|
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Raise an error if another Qt api is already loaded in sys.modules
|
[
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"."
] |
train
|
https://github.com/ales-erjavec/anyqt/blob/07b73c5ccb8f73f70fc6566249c0c7228fc9b921/AnyQt/_api.py#L23-L44
|
cakebread/yolk
|
yolk/metadata.py
|
get_metadata
|
def get_metadata(dist):
"""
Return dictionary of metadata for given dist
@param dist: distribution
@type dist: pkg_resources Distribution object
@returns: dict of metadata or None
"""
if not dist.has_metadata('PKG-INFO'):
return
msg = email.message_from_string(dist.get_metadata('PKG-INFO'))
metadata = {}
for header in [l for l in msg._headers]:
metadata[header[0]] = header[1]
return metadata
|
python
|
def get_metadata(dist):
"""
Return dictionary of metadata for given dist
@param dist: distribution
@type dist: pkg_resources Distribution object
@returns: dict of metadata or None
"""
if not dist.has_metadata('PKG-INFO'):
return
msg = email.message_from_string(dist.get_metadata('PKG-INFO'))
metadata = {}
for header in [l for l in msg._headers]:
metadata[header[0]] = header[1]
return metadata
|
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Return dictionary of metadata for given dist
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@type dist: pkg_resources Distribution object
@returns: dict of metadata or None
|
[
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] |
train
|
https://github.com/cakebread/yolk/blob/ee8c9f529a542d9c5eff4fe69b9c7906c802e4d8/yolk/metadata.py#L25-L43
|
cakebread/yolk
|
yolk/plugins/base.py
|
Plugin.add_options
|
def add_options(self, parser):
"""Add command-line options for this plugin.
The base plugin class adds --with-$name by default, used to enable the
plugin.
"""
parser.add_option("--with-%s" % self.name,
action="store_true",
dest=self.enable_opt,
help="Enable plugin %s: %s" %
(self.__class__.__name__, self.help())
)
|
python
|
def add_options(self, parser):
"""Add command-line options for this plugin.
The base plugin class adds --with-$name by default, used to enable the
plugin.
"""
parser.add_option("--with-%s" % self.name,
action="store_true",
dest=self.enable_opt,
help="Enable plugin %s: %s" %
(self.__class__.__name__, self.help())
)
|
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"__class__",
".",
"__name__",
",",
"self",
".",
"help",
"(",
")",
")",
")"
] |
Add command-line options for this plugin.
The base plugin class adds --with-$name by default, used to enable the
plugin.
|
[
"Add",
"command",
"-",
"line",
"options",
"for",
"this",
"plugin",
"."
] |
train
|
https://github.com/cakebread/yolk/blob/ee8c9f529a542d9c5eff4fe69b9c7906c802e4d8/yolk/plugins/base.py#L42-L53
|
cakebread/yolk
|
yolk/plugins/base.py
|
Plugin.configure
|
def configure(self, options, conf):
"""Configure the plugin and system, based on selected options.
The base plugin class sets the plugin to enabled if the enable option
for the plugin (self.enable_opt) is true.
"""
self.conf = conf
if hasattr(options, self.enable_opt):
self.enabled = getattr(options, self.enable_opt)
|
python
|
def configure(self, options, conf):
"""Configure the plugin and system, based on selected options.
The base plugin class sets the plugin to enabled if the enable option
for the plugin (self.enable_opt) is true.
"""
self.conf = conf
if hasattr(options, self.enable_opt):
self.enabled = getattr(options, self.enable_opt)
|
[
"def",
"configure",
"(",
"self",
",",
"options",
",",
"conf",
")",
":",
"self",
".",
"conf",
"=",
"conf",
"if",
"hasattr",
"(",
"options",
",",
"self",
".",
"enable_opt",
")",
":",
"self",
".",
"enabled",
"=",
"getattr",
"(",
"options",
",",
"self",
".",
"enable_opt",
")"
] |
Configure the plugin and system, based on selected options.
The base plugin class sets the plugin to enabled if the enable option
for the plugin (self.enable_opt) is true.
|
[
"Configure",
"the",
"plugin",
"and",
"system",
"based",
"on",
"selected",
"options",
"."
] |
train
|
https://github.com/cakebread/yolk/blob/ee8c9f529a542d9c5eff4fe69b9c7906c802e4d8/yolk/plugins/base.py#L55-L63
|
cakebread/yolk
|
yolk/plugins/base.py
|
Plugin.help
|
def help(self):
"""Return help for this plugin. This will be output as the help
section of the --with-$name option that enables the plugin.
"""
if self.__class__.__doc__:
# doc sections are often indented; compress the spaces
return textwrap.dedent(self.__class__.__doc__)
return "(no help available)"
|
python
|
def help(self):
"""Return help for this plugin. This will be output as the help
section of the --with-$name option that enables the plugin.
"""
if self.__class__.__doc__:
# doc sections are often indented; compress the spaces
return textwrap.dedent(self.__class__.__doc__)
return "(no help available)"
|
[
"def",
"help",
"(",
"self",
")",
":",
"if",
"self",
".",
"__class__",
".",
"__doc__",
":",
"# doc sections are often indented; compress the spaces",
"return",
"textwrap",
".",
"dedent",
"(",
"self",
".",
"__class__",
".",
"__doc__",
")",
"return",
"\"(no help available)\""
] |
Return help for this plugin. This will be output as the help
section of the --with-$name option that enables the plugin.
|
[
"Return",
"help",
"for",
"this",
"plugin",
".",
"This",
"will",
"be",
"output",
"as",
"the",
"help",
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"of",
"the",
"--",
"with",
"-",
"$name",
"option",
"that",
"enables",
"the",
"plugin",
"."
] |
train
|
https://github.com/cakebread/yolk/blob/ee8c9f529a542d9c5eff4fe69b9c7906c802e4d8/yolk/plugins/base.py#L65-L72
|
pyslackers/slack-sansio
|
slack/sansio.py
|
raise_for_status
|
def raise_for_status(
status: int, headers: MutableMapping, data: MutableMapping
) -> None:
"""
Check request response status
Args:
status: Response status
headers: Response headers
data: Response data
Raises:
:class:`slack.exceptions.RateLimited`: For 429 status code
:class:`slack.exceptions:HTTPException`:
"""
if status != 200:
if status == 429:
if isinstance(data, str):
error = data
else:
error = data.get("error", "ratelimited")
try:
retry_after = int(headers.get("Retry-After", 1))
except ValueError:
retry_after = 1
raise exceptions.RateLimited(retry_after, error, status, headers, data)
else:
raise exceptions.HTTPException(status, headers, data)
|
python
|
def raise_for_status(
status: int, headers: MutableMapping, data: MutableMapping
) -> None:
"""
Check request response status
Args:
status: Response status
headers: Response headers
data: Response data
Raises:
:class:`slack.exceptions.RateLimited`: For 429 status code
:class:`slack.exceptions:HTTPException`:
"""
if status != 200:
if status == 429:
if isinstance(data, str):
error = data
else:
error = data.get("error", "ratelimited")
try:
retry_after = int(headers.get("Retry-After", 1))
except ValueError:
retry_after = 1
raise exceptions.RateLimited(retry_after, error, status, headers, data)
else:
raise exceptions.HTTPException(status, headers, data)
|
[
"def",
"raise_for_status",
"(",
"status",
":",
"int",
",",
"headers",
":",
"MutableMapping",
",",
"data",
":",
"MutableMapping",
")",
"->",
"None",
":",
"if",
"status",
"!=",
"200",
":",
"if",
"status",
"==",
"429",
":",
"if",
"isinstance",
"(",
"data",
",",
"str",
")",
":",
"error",
"=",
"data",
"else",
":",
"error",
"=",
"data",
".",
"get",
"(",
"\"error\"",
",",
"\"ratelimited\"",
")",
"try",
":",
"retry_after",
"=",
"int",
"(",
"headers",
".",
"get",
"(",
"\"Retry-After\"",
",",
"1",
")",
")",
"except",
"ValueError",
":",
"retry_after",
"=",
"1",
"raise",
"exceptions",
".",
"RateLimited",
"(",
"retry_after",
",",
"error",
",",
"status",
",",
"headers",
",",
"data",
")",
"else",
":",
"raise",
"exceptions",
".",
"HTTPException",
"(",
"status",
",",
"headers",
",",
"data",
")"
] |
Check request response status
Args:
status: Response status
headers: Response headers
data: Response data
Raises:
:class:`slack.exceptions.RateLimited`: For 429 status code
:class:`slack.exceptions:HTTPException`:
|
[
"Check",
"request",
"response",
"status"
] |
train
|
https://github.com/pyslackers/slack-sansio/blob/068ddd6480c6d2f9bf14fa4db498c9fe1017f4ab/slack/sansio.py#L28-L57
|
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