repository_name
stringlengths
5
67
func_path_in_repository
stringlengths
4
234
func_name
stringlengths
0
314
whole_func_string
stringlengths
52
3.87M
language
stringclasses
6 values
func_code_string
stringlengths
52
3.87M
func_code_tokens
listlengths
15
672k
func_documentation_string
stringlengths
1
47.2k
func_documentation_tokens
listlengths
1
3.92k
split_name
stringclasses
1 value
func_code_url
stringlengths
85
339
delph-in/pydelphin
delphin/repp.py
REPP.from_config
def from_config(cls, path, directory=None): """ Instantiate a REPP from a PET-style `.set` configuration file. The *path* parameter points to the configuration file. Submodules are loaded from *directory*. If *directory* is not given, it is the directory part of *path*. ...
python
def from_config(cls, path, directory=None): """ Instantiate a REPP from a PET-style `.set` configuration file. The *path* parameter points to the configuration file. Submodules are loaded from *directory*. If *directory* is not given, it is the directory part of *path*. ...
[ "def", "from_config", "(", "cls", ",", "path", ",", "directory", "=", "None", ")", ":", "if", "not", "exists", "(", "path", ")", ":", "raise", "REPPError", "(", "'REPP config file not found: {}'", ".", "format", "(", "path", ")", ")", "confdir", "=", "di...
Instantiate a REPP from a PET-style `.set` configuration file. The *path* parameter points to the configuration file. Submodules are loaded from *directory*. If *directory* is not given, it is the directory part of *path*. Args: path (str): the path to the REPP configuratio...
[ "Instantiate", "a", "REPP", "from", "a", "PET", "-", "style", ".", "set", "configuration", "file", "." ]
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/repp.py#L282-L340
delph-in/pydelphin
delphin/repp.py
REPP.from_file
def from_file(cls, path, directory=None, modules=None, active=None): """ Instantiate a REPP from a `.rpp` file. The *path* parameter points to the top-level module. Submodules are loaded from *directory*. If *directory* is not given, it is the directory part of *path*. ...
python
def from_file(cls, path, directory=None, modules=None, active=None): """ Instantiate a REPP from a `.rpp` file. The *path* parameter points to the top-level module. Submodules are loaded from *directory*. If *directory* is not given, it is the directory part of *path*. ...
[ "def", "from_file", "(", "cls", ",", "path", ",", "directory", "=", "None", ",", "modules", "=", "None", ",", "active", "=", "None", ")", ":", "name", "=", "basename", "(", "path", ")", "if", "name", ".", "endswith", "(", "'.rpp'", ")", ":", "name"...
Instantiate a REPP from a `.rpp` file. The *path* parameter points to the top-level module. Submodules are loaded from *directory*. If *directory* is not given, it is the directory part of *path*. A REPP module may utilize external submodules, which may be defined in two ways. ...
[ "Instantiate", "a", "REPP", "from", "a", ".", "rpp", "file", "." ]
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/repp.py#L343-L376
delph-in/pydelphin
delphin/repp.py
REPP.from_string
def from_string(cls, s, name=None, modules=None, active=None): """ Instantiate a REPP from a string. Args: name (str, optional): the name of the REPP module modules (dict, optional): a mapping from identifiers to REPP modules active (iterable,...
python
def from_string(cls, s, name=None, modules=None, active=None): """ Instantiate a REPP from a string. Args: name (str, optional): the name of the REPP module modules (dict, optional): a mapping from identifiers to REPP modules active (iterable,...
[ "def", "from_string", "(", "cls", ",", "s", ",", "name", "=", "None", ",", "modules", "=", "None", ",", "active", "=", "None", ")", ":", "r", "=", "cls", "(", "name", "=", "name", ",", "modules", "=", "modules", ",", "active", "=", "active", ")",...
Instantiate a REPP from a string. Args: name (str, optional): the name of the REPP module modules (dict, optional): a mapping from identifiers to REPP modules active (iterable, optional): an iterable of default module activations
[ "Instantiate", "a", "REPP", "from", "a", "string", "." ]
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/repp.py#L379-L392
delph-in/pydelphin
delphin/repp.py
REPP.deactivate
def deactivate(self, mod): """ Set external module *mod* to inactive. """ if mod in self.active: self.active.remove(mod)
python
def deactivate(self, mod): """ Set external module *mod* to inactive. """ if mod in self.active: self.active.remove(mod)
[ "def", "deactivate", "(", "self", ",", "mod", ")", ":", "if", "mod", "in", "self", ".", "active", ":", "self", ".", "active", ".", "remove", "(", "mod", ")" ]
Set external module *mod* to inactive.
[ "Set", "external", "module", "*", "mod", "*", "to", "inactive", "." ]
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/repp.py#L400-L405
delph-in/pydelphin
delphin/repp.py
REPP.apply
def apply(self, s, active=None): """ Apply the REPP's rewrite rules to the input string *s*. Args: s (str): the input string to process active (optional): a collection of external module names that may be applied if called Returns: a :...
python
def apply(self, s, active=None): """ Apply the REPP's rewrite rules to the input string *s*. Args: s (str): the input string to process active (optional): a collection of external module names that may be applied if called Returns: a :...
[ "def", "apply", "(", "self", ",", "s", ",", "active", "=", "None", ")", ":", "if", "active", "is", "None", ":", "active", "=", "self", ".", "active", "return", "self", ".", "group", ".", "apply", "(", "s", ",", "active", "=", "active", ")" ]
Apply the REPP's rewrite rules to the input string *s*. Args: s (str): the input string to process active (optional): a collection of external module names that may be applied if called Returns: a :class:`REPPResult` object containing the processed ...
[ "Apply", "the", "REPP", "s", "rewrite", "rules", "to", "the", "input", "string", "*", "s", "*", "." ]
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/repp.py#L410-L424
delph-in/pydelphin
delphin/repp.py
REPP.trace
def trace(self, s, active=None, verbose=False): """ Rewrite string *s* like `apply()`, but yield each rewrite step. Args: s (str): the input string to process active (optional): a collection of external module names that may be applied if called ...
python
def trace(self, s, active=None, verbose=False): """ Rewrite string *s* like `apply()`, but yield each rewrite step. Args: s (str): the input string to process active (optional): a collection of external module names that may be applied if called ...
[ "def", "trace", "(", "self", ",", "s", ",", "active", "=", "None", ",", "verbose", "=", "False", ")", ":", "if", "active", "is", "None", ":", "active", "=", "self", ".", "active", "return", "self", ".", "group", ".", "trace", "(", "s", ",", "acti...
Rewrite string *s* like `apply()`, but yield each rewrite step. Args: s (str): the input string to process active (optional): a collection of external module names that may be applied if called verbose (bool, optional): if `False`, only output rules or ...
[ "Rewrite", "string", "*", "s", "*", "like", "apply", "()", "but", "yield", "each", "rewrite", "step", "." ]
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/repp.py#L426-L443
delph-in/pydelphin
delphin/repp.py
REPP.tokenize
def tokenize(self, s, pattern=None, active=None): """ Rewrite and tokenize the input string *s*. Args: s (str): the input string to process pattern (str, optional): the regular expression pattern on which to split tokens; defaults to `[ \t]+` ...
python
def tokenize(self, s, pattern=None, active=None): """ Rewrite and tokenize the input string *s*. Args: s (str): the input string to process pattern (str, optional): the regular expression pattern on which to split tokens; defaults to `[ \t]+` ...
[ "def", "tokenize", "(", "self", ",", "s", ",", "pattern", "=", "None", ",", "active", "=", "None", ")", ":", "if", "pattern", "is", "None", ":", "if", "self", ".", "tokenize_pattern", "is", "None", ":", "pattern", "=", "r'[ \\t]+'", "else", ":", "pat...
Rewrite and tokenize the input string *s*. Args: s (str): the input string to process pattern (str, optional): the regular expression pattern on which to split tokens; defaults to `[ \t]+` active (optional): a collection of external module names ...
[ "Rewrite", "and", "tokenize", "the", "input", "string", "*", "s", "*", "." ]
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/repp.py#L445-L466
luckydonald/pytgbot
code_generation/output/teleflask_messages.py
SendableMessageBase._apply_update_receiver
def _apply_update_receiver(self, receiver, reply_id): """ Updates `self.receiver` and/or `self.reply_id` if they still contain the default value. :param receiver: The receiver `chat_id` to use. Either `self.receiver`, if set, e.g. when instancing `TextMessage(receiver=10...
python
def _apply_update_receiver(self, receiver, reply_id): """ Updates `self.receiver` and/or `self.reply_id` if they still contain the default value. :param receiver: The receiver `chat_id` to use. Either `self.receiver`, if set, e.g. when instancing `TextMessage(receiver=10...
[ "def", "_apply_update_receiver", "(", "self", ",", "receiver", ",", "reply_id", ")", ":", "if", "self", ".", "receiver", "is", "None", ":", "self", ".", "receiver", "=", "receiver", "# end if", "if", "self", ".", "reply_id", "is", "DEFAULT_MESSAGE_ID", ":", ...
Updates `self.receiver` and/or `self.reply_id` if they still contain the default value. :param receiver: The receiver `chat_id` to use. Either `self.receiver`, if set, e.g. when instancing `TextMessage(receiver=10001231231, ...)`, or the `chat.id` of the update ...
[ "Updates", "self", ".", "receiver", "and", "/", "or", "self", ".", "reply_id", "if", "they", "still", "contain", "the", "default", "value", ".", ":", "param", "receiver", ":", "The", "receiver", "chat_id", "to", "use", ".", "Either", "self", ".", "receiv...
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/code_generation/output/teleflask_messages.py#L14-L32
luckydonald/pytgbot
code_generation/output/teleflask_messages.py
TextMessage.send
def send(self, sender: PytgbotApiBot): """ Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage """ return sender.send_message( # receiver, self.media, disable_notificati...
python
def send(self, sender: PytgbotApiBot): """ Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage """ return sender.send_message( # receiver, self.media, disable_notificati...
[ "def", "send", "(", "self", ",", "sender", ":", "PytgbotApiBot", ")", ":", "return", "sender", ".", "send_message", "(", "# receiver, self.media, disable_notification=self.disable_notification, reply_to_message_id=reply_id", "text", "=", "self", ".", "text", ",", "chat_id...
Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage
[ "Send", "the", "message", "via", "pytgbot", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/code_generation/output/teleflask_messages.py#L140-L152
luckydonald/pytgbot
code_generation/output/teleflask_messages.py
TextMessage.to_array
def to_array(self): """ Serializes this TextMessage to a dictionary. :return: dictionary representation of this object. :rtype: dict """ array = super(TextMessage, self).to_array() array['text'] = u(self.text) # py2: type unicode, py3: type str if self....
python
def to_array(self): """ Serializes this TextMessage to a dictionary. :return: dictionary representation of this object. :rtype: dict """ array = super(TextMessage, self).to_array() array['text'] = u(self.text) # py2: type unicode, py3: type str if self....
[ "def", "to_array", "(", "self", ")", ":", "array", "=", "super", "(", "TextMessage", ",", "self", ")", ".", "to_array", "(", ")", "array", "[", "'text'", "]", "=", "u", "(", "self", ".", "text", ")", "# py2: type unicode, py3: type str", "if", "self", ...
Serializes this TextMessage to a dictionary. :return: dictionary representation of this object. :rtype: dict
[ "Serializes", "this", "TextMessage", "to", "a", "dictionary", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/code_generation/output/teleflask_messages.py#L155-L201
luckydonald/pytgbot
code_generation/output/teleflask_messages.py
PhotoMessage.send
def send(self, sender: PytgbotApiBot): """ Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage """ return sender.send_photo( # receiver, self.media, disable_notification...
python
def send(self, sender: PytgbotApiBot): """ Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage """ return sender.send_photo( # receiver, self.media, disable_notification...
[ "def", "send", "(", "self", ",", "sender", ":", "PytgbotApiBot", ")", ":", "return", "sender", ".", "send_photo", "(", "# receiver, self.media, disable_notification=self.disable_notification, reply_to_message_id=reply_id", "photo", "=", "self", ".", "photo", ",", "chat_id...
Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage
[ "Send", "the", "message", "via", "pytgbot", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/code_generation/output/teleflask_messages.py#L385-L397
luckydonald/pytgbot
code_generation/output/teleflask_messages.py
AudioMessage.send
def send(self, sender: PytgbotApiBot): """ Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage """ return sender.send_audio( # receiver, self.media, disable_notification...
python
def send(self, sender: PytgbotApiBot): """ Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage """ return sender.send_audio( # receiver, self.media, disable_notification...
[ "def", "send", "(", "self", ",", "sender", ":", "PytgbotApiBot", ")", ":", "return", "sender", ".", "send_audio", "(", "# receiver, self.media, disable_notification=self.disable_notification, reply_to_message_id=reply_id", "audio", "=", "self", ".", "audio", ",", "chat_id...
Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage
[ "Send", "the", "message", "via", "pytgbot", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/code_generation/output/teleflask_messages.py#L682-L694
luckydonald/pytgbot
code_generation/output/teleflask_messages.py
AudioMessage.to_array
def to_array(self): """ Serializes this AudioMessage to a dictionary. :return: dictionary representation of this object. :rtype: dict """ array = super(AudioMessage, self).to_array() if isinstance(self.audio, InputFile): array['audio'] = self.audio.to...
python
def to_array(self): """ Serializes this AudioMessage to a dictionary. :return: dictionary representation of this object. :rtype: dict """ array = super(AudioMessage, self).to_array() if isinstance(self.audio, InputFile): array['audio'] = self.audio.to...
[ "def", "to_array", "(", "self", ")", ":", "array", "=", "super", "(", "AudioMessage", ",", "self", ")", ".", "to_array", "(", ")", "if", "isinstance", "(", "self", ".", "audio", ",", "InputFile", ")", ":", "array", "[", "'audio'", "]", "=", "self", ...
Serializes this AudioMessage to a dictionary. :return: dictionary representation of this object. :rtype: dict
[ "Serializes", "this", "AudioMessage", "to", "a", "dictionary", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/code_generation/output/teleflask_messages.py#L697-L767
luckydonald/pytgbot
code_generation/output/teleflask_messages.py
DocumentMessage.send
def send(self, sender: PytgbotApiBot): """ Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage """ return sender.send_document( # receiver, self.media, disable_notificat...
python
def send(self, sender: PytgbotApiBot): """ Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage """ return sender.send_document( # receiver, self.media, disable_notificat...
[ "def", "send", "(", "self", ",", "sender", ":", "PytgbotApiBot", ")", ":", "return", "sender", ".", "send_document", "(", "# receiver, self.media, disable_notification=self.disable_notification, reply_to_message_id=reply_id", "document", "=", "self", ".", "document", ",", ...
Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage
[ "Send", "the", "message", "via", "pytgbot", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/code_generation/output/teleflask_messages.py#L979-L991
luckydonald/pytgbot
code_generation/output/teleflask_messages.py
VideoMessage.send
def send(self, sender: PytgbotApiBot): """ Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage """ return sender.send_video( # receiver, self.media, disable_notification...
python
def send(self, sender: PytgbotApiBot): """ Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage """ return sender.send_video( # receiver, self.media, disable_notification...
[ "def", "send", "(", "self", ",", "sender", ":", "PytgbotApiBot", ")", ":", "return", "sender", ".", "send_video", "(", "# receiver, self.media, disable_notification=self.disable_notification, reply_to_message_id=reply_id", "video", "=", "self", ".", "video", ",", "chat_id...
Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage
[ "Send", "the", "message", "via", "pytgbot", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/code_generation/output/teleflask_messages.py#L1301-L1313
luckydonald/pytgbot
code_generation/output/teleflask_messages.py
AnimationMessage.send
def send(self, sender: PytgbotApiBot): """ Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage """ return sender.send_animation( # receiver, self.media, disable_notifica...
python
def send(self, sender: PytgbotApiBot): """ Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage """ return sender.send_animation( # receiver, self.media, disable_notifica...
[ "def", "send", "(", "self", ",", "sender", ":", "PytgbotApiBot", ")", ":", "return", "sender", ".", "send_animation", "(", "# receiver, self.media, disable_notification=self.disable_notification, reply_to_message_id=reply_id", "animation", "=", "self", ".", "animation", ","...
Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage
[ "Send", "the", "message", "via", "pytgbot", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/code_generation/output/teleflask_messages.py#L1626-L1638
luckydonald/pytgbot
code_generation/output/teleflask_messages.py
AnimationMessage.to_array
def to_array(self): """ Serializes this AnimationMessage to a dictionary. :return: dictionary representation of this object. :rtype: dict """ array = super(AnimationMessage, self).to_array() if isinstance(self.animation, InputFile): array['animation']...
python
def to_array(self): """ Serializes this AnimationMessage to a dictionary. :return: dictionary representation of this object. :rtype: dict """ array = super(AnimationMessage, self).to_array() if isinstance(self.animation, InputFile): array['animation']...
[ "def", "to_array", "(", "self", ")", ":", "array", "=", "super", "(", "AnimationMessage", ",", "self", ")", ".", "to_array", "(", ")", "if", "isinstance", "(", "self", ".", "animation", ",", "InputFile", ")", ":", "array", "[", "'animation'", "]", "=",...
Serializes this AnimationMessage to a dictionary. :return: dictionary representation of this object. :rtype: dict
[ "Serializes", "this", "AnimationMessage", "to", "a", "dictionary", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/code_generation/output/teleflask_messages.py#L1641-L1709
luckydonald/pytgbot
code_generation/output/teleflask_messages.py
VoiceMessage.send
def send(self, sender: PytgbotApiBot): """ Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage """ return sender.send_voice( # receiver, self.media, disable_notification...
python
def send(self, sender: PytgbotApiBot): """ Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage """ return sender.send_voice( # receiver, self.media, disable_notification...
[ "def", "send", "(", "self", ",", "sender", ":", "PytgbotApiBot", ")", ":", "return", "sender", ".", "send_voice", "(", "# receiver, self.media, disable_notification=self.disable_notification, reply_to_message_id=reply_id", "voice", "=", "self", ".", "voice", ",", "chat_id...
Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage
[ "Send", "the", "message", "via", "pytgbot", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/code_generation/output/teleflask_messages.py#L1921-L1933
luckydonald/pytgbot
code_generation/output/teleflask_messages.py
VoiceMessage.to_array
def to_array(self): """ Serializes this VoiceMessage to a dictionary. :return: dictionary representation of this object. :rtype: dict """ array = super(VoiceMessage, self).to_array() if isinstance(self.voice, InputFile): array['voice'] = self.voice.to...
python
def to_array(self): """ Serializes this VoiceMessage to a dictionary. :return: dictionary representation of this object. :rtype: dict """ array = super(VoiceMessage, self).to_array() if isinstance(self.voice, InputFile): array['voice'] = self.voice.to...
[ "def", "to_array", "(", "self", ")", ":", "array", "=", "super", "(", "VoiceMessage", ",", "self", ")", ".", "to_array", "(", ")", "if", "isinstance", "(", "self", ".", "voice", ",", "InputFile", ")", ":", "array", "[", "'voice'", "]", "=", "self", ...
Serializes this VoiceMessage to a dictionary. :return: dictionary representation of this object. :rtype: dict
[ "Serializes", "this", "VoiceMessage", "to", "a", "dictionary", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/code_generation/output/teleflask_messages.py#L1936-L1991
luckydonald/pytgbot
code_generation/output/teleflask_messages.py
VideoNoteMessage.send
def send(self, sender: PytgbotApiBot): """ Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage """ return sender.send_video_note( # receiver, self.media, disable_notific...
python
def send(self, sender: PytgbotApiBot): """ Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage """ return sender.send_video_note( # receiver, self.media, disable_notific...
[ "def", "send", "(", "self", ",", "sender", ":", "PytgbotApiBot", ")", ":", "return", "sender", ".", "send_video_note", "(", "# receiver, self.media, disable_notification=self.disable_notification, reply_to_message_id=reply_id", "video_note", "=", "self", ".", "video_note", ...
Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage
[ "Send", "the", "message", "via", "pytgbot", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/code_generation/output/teleflask_messages.py#L2192-L2204
luckydonald/pytgbot
code_generation/output/teleflask_messages.py
VideoNoteMessage.to_array
def to_array(self): """ Serializes this VideoNoteMessage to a dictionary. :return: dictionary representation of this object. :rtype: dict """ array = super(VideoNoteMessage, self).to_array() if isinstance(self.video_note, InputFile): array['video_note...
python
def to_array(self): """ Serializes this VideoNoteMessage to a dictionary. :return: dictionary representation of this object. :rtype: dict """ array = super(VideoNoteMessage, self).to_array() if isinstance(self.video_note, InputFile): array['video_note...
[ "def", "to_array", "(", "self", ")", ":", "array", "=", "super", "(", "VideoNoteMessage", ",", "self", ")", ".", "to_array", "(", ")", "if", "isinstance", "(", "self", ".", "video_note", ",", "InputFile", ")", ":", "array", "[", "'video_note'", "]", "=...
Serializes this VideoNoteMessage to a dictionary. :return: dictionary representation of this object. :rtype: dict
[ "Serializes", "this", "VideoNoteMessage", "to", "a", "dictionary", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/code_generation/output/teleflask_messages.py#L2207-L2267
luckydonald/pytgbot
code_generation/output/teleflask_messages.py
MediaGroupMessage.send
def send(self, sender: PytgbotApiBot): """ Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage """ return sender.send_media_group( # receiver, self.media, disable_notifi...
python
def send(self, sender: PytgbotApiBot): """ Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage """ return sender.send_media_group( # receiver, self.media, disable_notifi...
[ "def", "send", "(", "self", ",", "sender", ":", "PytgbotApiBot", ")", ":", "return", "sender", ".", "send_media_group", "(", "# receiver, self.media, disable_notification=self.disable_notification, reply_to_message_id=reply_id", "media", "=", "self", ".", "media", ",", "c...
Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage
[ "Send", "the", "message", "via", "pytgbot", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/code_generation/output/teleflask_messages.py#L2437-L2449
luckydonald/pytgbot
code_generation/output/teleflask_messages.py
MediaGroupMessage.to_array
def to_array(self): """ Serializes this MediaGroupMessage to a dictionary. :return: dictionary representation of this object. :rtype: dict """ array = super(MediaGroupMessage, self).to_array() if isinstance(self.media, InputMediaPhoto): array['media']...
python
def to_array(self): """ Serializes this MediaGroupMessage to a dictionary. :return: dictionary representation of this object. :rtype: dict """ array = super(MediaGroupMessage, self).to_array() if isinstance(self.media, InputMediaPhoto): array['media']...
[ "def", "to_array", "(", "self", ")", ":", "array", "=", "super", "(", "MediaGroupMessage", ",", "self", ")", ".", "to_array", "(", ")", "if", "isinstance", "(", "self", ".", "media", ",", "InputMediaPhoto", ")", ":", "array", "[", "'media'", "]", "=", ...
Serializes this MediaGroupMessage to a dictionary. :return: dictionary representation of this object. :rtype: dict
[ "Serializes", "this", "MediaGroupMessage", "to", "a", "dictionary", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/code_generation/output/teleflask_messages.py#L2452-L2486
luckydonald/pytgbot
code_generation/output/teleflask_messages.py
MediaGroupMessage.from_array
def from_array(array): """ Deserialize a new MediaGroupMessage from a given dictionary. :return: new MediaGroupMessage instance. :rtype: MediaGroupMessage """ if array is None or not array: return None # end if assert_type_or_raise(array, dict...
python
def from_array(array): """ Deserialize a new MediaGroupMessage from a given dictionary. :return: new MediaGroupMessage instance. :rtype: MediaGroupMessage """ if array is None or not array: return None # end if assert_type_or_raise(array, dict...
[ "def", "from_array", "(", "array", ")", ":", "if", "array", "is", "None", "or", "not", "array", ":", "return", "None", "# end if", "assert_type_or_raise", "(", "array", ",", "dict", ",", "parameter_name", "=", "\"array\"", ")", "from", "pytgbot", ".", "api...
Deserialize a new MediaGroupMessage from a given dictionary. :return: new MediaGroupMessage instance. :rtype: MediaGroupMessage
[ "Deserialize", "a", "new", "MediaGroupMessage", "from", "a", "given", "dictionary", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/code_generation/output/teleflask_messages.py#L2490-L2534
luckydonald/pytgbot
code_generation/output/teleflask_messages.py
LocationMessage.send
def send(self, sender: PytgbotApiBot): """ Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage """ return sender.send_location( # receiver, self.media, disable_notificat...
python
def send(self, sender: PytgbotApiBot): """ Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage """ return sender.send_location( # receiver, self.media, disable_notificat...
[ "def", "send", "(", "self", ",", "sender", ":", "PytgbotApiBot", ")", ":", "return", "sender", ".", "send_location", "(", "# receiver, self.media, disable_notification=self.disable_notification, reply_to_message_id=reply_id", "latitude", "=", "self", ".", "latitude", ",", ...
Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage
[ "Send", "the", "message", "via", "pytgbot", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/code_generation/output/teleflask_messages.py#L2658-L2670
luckydonald/pytgbot
code_generation/output/teleflask_messages.py
LocationMessage.to_array
def to_array(self): """ Serializes this LocationMessage to a dictionary. :return: dictionary representation of this object. :rtype: dict """ array = super(LocationMessage, self).to_array() array['latitude'] = float(self.latitude) # type float array['long...
python
def to_array(self): """ Serializes this LocationMessage to a dictionary. :return: dictionary representation of this object. :rtype: dict """ array = super(LocationMessage, self).to_array() array['latitude'] = float(self.latitude) # type float array['long...
[ "def", "to_array", "(", "self", ")", ":", "array", "=", "super", "(", "LocationMessage", ",", "self", ")", ".", "to_array", "(", ")", "array", "[", "'latitude'", "]", "=", "float", "(", "self", ".", "latitude", ")", "# type float", "array", "[", "'long...
Serializes this LocationMessage to a dictionary. :return: dictionary representation of this object. :rtype: dict
[ "Serializes", "this", "LocationMessage", "to", "a", "dictionary", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/code_generation/output/teleflask_messages.py#L2673-L2716
luckydonald/pytgbot
code_generation/output/teleflask_messages.py
VenueMessage.send
def send(self, sender: PytgbotApiBot): """ Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage """ return sender.send_venue( # receiver, self.media, disable_notification...
python
def send(self, sender: PytgbotApiBot): """ Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage """ return sender.send_venue( # receiver, self.media, disable_notification...
[ "def", "send", "(", "self", ",", "sender", ":", "PytgbotApiBot", ")", ":", "return", "sender", ".", "send_venue", "(", "# receiver, self.media, disable_notification=self.disable_notification, reply_to_message_id=reply_id", "latitude", "=", "self", ".", "latitude", ",", "l...
Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage
[ "Send", "the", "message", "via", "pytgbot", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/code_generation/output/teleflask_messages.py#L2926-L2938
luckydonald/pytgbot
code_generation/output/teleflask_messages.py
VenueMessage.to_array
def to_array(self): """ Serializes this VenueMessage to a dictionary. :return: dictionary representation of this object. :rtype: dict """ array = super(VenueMessage, self).to_array() array['latitude'] = float(self.latitude) # type float array['longitude'...
python
def to_array(self): """ Serializes this VenueMessage to a dictionary. :return: dictionary representation of this object. :rtype: dict """ array = super(VenueMessage, self).to_array() array['latitude'] = float(self.latitude) # type float array['longitude'...
[ "def", "to_array", "(", "self", ")", ":", "array", "=", "super", "(", "VenueMessage", ",", "self", ")", ".", "to_array", "(", ")", "array", "[", "'latitude'", "]", "=", "float", "(", "self", ".", "latitude", ")", "# type float", "array", "[", "'longitu...
Serializes this VenueMessage to a dictionary. :return: dictionary representation of this object. :rtype: dict
[ "Serializes", "this", "VenueMessage", "to", "a", "dictionary", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/code_generation/output/teleflask_messages.py#L2941-L2992
luckydonald/pytgbot
code_generation/output/teleflask_messages.py
ContactMessage.send
def send(self, sender: PytgbotApiBot): """ Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage """ return sender.send_contact( # receiver, self.media, disable_notificati...
python
def send(self, sender: PytgbotApiBot): """ Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage """ return sender.send_contact( # receiver, self.media, disable_notificati...
[ "def", "send", "(", "self", ",", "sender", ":", "PytgbotApiBot", ")", ":", "return", "sender", ".", "send_contact", "(", "# receiver, self.media, disable_notification=self.disable_notification, reply_to_message_id=reply_id", "phone_number", "=", "self", ".", "phone_number", ...
Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage
[ "Send", "the", "message", "via", "pytgbot", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/code_generation/output/teleflask_messages.py#L3187-L3199
luckydonald/pytgbot
code_generation/output/teleflask_messages.py
ContactMessage.to_array
def to_array(self): """ Serializes this ContactMessage to a dictionary. :return: dictionary representation of this object. :rtype: dict """ array = super(ContactMessage, self).to_array() array['phone_number'] = u(self.phone_number) # py2: type unicode, py3: type...
python
def to_array(self): """ Serializes this ContactMessage to a dictionary. :return: dictionary representation of this object. :rtype: dict """ array = super(ContactMessage, self).to_array() array['phone_number'] = u(self.phone_number) # py2: type unicode, py3: type...
[ "def", "to_array", "(", "self", ")", ":", "array", "=", "super", "(", "ContactMessage", ",", "self", ")", ".", "to_array", "(", ")", "array", "[", "'phone_number'", "]", "=", "u", "(", "self", ".", "phone_number", ")", "# py2: type unicode, py3: type str", ...
Serializes this ContactMessage to a dictionary. :return: dictionary representation of this object. :rtype: dict
[ "Serializes", "this", "ContactMessage", "to", "a", "dictionary", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/code_generation/output/teleflask_messages.py#L3202-L3251
luckydonald/pytgbot
code_generation/output/teleflask_messages.py
ChatActionMessage.send
def send(self, sender: PytgbotApiBot): """ Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage """ return sender.send_chat_action( # receiver, self.media, disable_notifi...
python
def send(self, sender: PytgbotApiBot): """ Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage """ return sender.send_chat_action( # receiver, self.media, disable_notifi...
[ "def", "send", "(", "self", ",", "sender", ":", "PytgbotApiBot", ")", ":", "return", "sender", ".", "send_chat_action", "(", "# receiver, self.media, disable_notification=self.disable_notification, reply_to_message_id=reply_id", "action", "=", "self", ".", "action", ",", ...
Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage
[ "Send", "the", "message", "via", "pytgbot", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/code_generation/output/teleflask_messages.py#L3393-L3405
luckydonald/pytgbot
code_generation/output/teleflask_messages.py
ChatActionMessage.to_array
def to_array(self): """ Serializes this ChatActionMessage to a dictionary. :return: dictionary representation of this object. :rtype: dict """ array = super(ChatActionMessage, self).to_array() array['action'] = u(self.action) # py2: type unicode, py3: type str ...
python
def to_array(self): """ Serializes this ChatActionMessage to a dictionary. :return: dictionary representation of this object. :rtype: dict """ array = super(ChatActionMessage, self).to_array() array['action'] = u(self.action) # py2: type unicode, py3: type str ...
[ "def", "to_array", "(", "self", ")", ":", "array", "=", "super", "(", "ChatActionMessage", ",", "self", ")", ".", "to_array", "(", ")", "array", "[", "'action'", "]", "=", "u", "(", "self", ".", "action", ")", "# py2: type unicode, py3: type str", "if", ...
Serializes this ChatActionMessage to a dictionary. :return: dictionary representation of this object. :rtype: dict
[ "Serializes", "this", "ChatActionMessage", "to", "a", "dictionary", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/code_generation/output/teleflask_messages.py#L3408-L3427
luckydonald/pytgbot
code_generation/output/teleflask_messages.py
ChatActionMessage.from_array
def from_array(array): """ Deserialize a new ChatActionMessage from a given dictionary. :return: new ChatActionMessage instance. :rtype: ChatActionMessage """ if array is None or not array: return None # end if assert_type_or_raise(array, dict...
python
def from_array(array): """ Deserialize a new ChatActionMessage from a given dictionary. :return: new ChatActionMessage instance. :rtype: ChatActionMessage """ if array is None or not array: return None # end if assert_type_or_raise(array, dict...
[ "def", "from_array", "(", "array", ")", ":", "if", "array", "is", "None", "or", "not", "array", ":", "return", "None", "# end if", "assert_type_or_raise", "(", "array", ",", "dict", ",", "parameter_name", "=", "\"array\"", ")", "data", "=", "{", "}", "da...
Deserialize a new ChatActionMessage from a given dictionary. :return: new ChatActionMessage instance. :rtype: ChatActionMessage
[ "Deserialize", "a", "new", "ChatActionMessage", "from", "a", "given", "dictionary", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/code_generation/output/teleflask_messages.py#L3431-L3456
luckydonald/pytgbot
code_generation/output/teleflask_messages.py
StickerMessage.send
def send(self, sender: PytgbotApiBot): """ Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage """ return sender.send_sticker( # receiver, self.media, disable_notificati...
python
def send(self, sender: PytgbotApiBot): """ Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage """ return sender.send_sticker( # receiver, self.media, disable_notificati...
[ "def", "send", "(", "self", ",", "sender", ":", "PytgbotApiBot", ")", ":", "return", "sender", ".", "send_sticker", "(", "# receiver, self.media, disable_notification=self.disable_notification, reply_to_message_id=reply_id", "sticker", "=", "self", ".", "sticker", ",", "c...
Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage
[ "Send", "the", "message", "via", "pytgbot", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/code_generation/output/teleflask_messages.py#L3563-L3575
luckydonald/pytgbot
code_generation/output/teleflask_messages.py
StickerMessage.to_array
def to_array(self): """ Serializes this StickerMessage to a dictionary. :return: dictionary representation of this object. :rtype: dict """ array = super(StickerMessage, self).to_array() if isinstance(self.sticker, InputFile): array['sticker'] = self....
python
def to_array(self): """ Serializes this StickerMessage to a dictionary. :return: dictionary representation of this object. :rtype: dict """ array = super(StickerMessage, self).to_array() if isinstance(self.sticker, InputFile): array['sticker'] = self....
[ "def", "to_array", "(", "self", ")", ":", "array", "=", "super", "(", "StickerMessage", ",", "self", ")", ".", "to_array", "(", ")", "if", "isinstance", "(", "self", ".", "sticker", ",", "InputFile", ")", ":", "array", "[", "'sticker'", "]", "=", "se...
Serializes this StickerMessage to a dictionary. :return: dictionary representation of this object. :rtype: dict
[ "Serializes", "this", "StickerMessage", "to", "a", "dictionary", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/code_generation/output/teleflask_messages.py#L3578-L3625
luckydonald/pytgbot
code_generation/output/teleflask_messages.py
StickerMessage.from_array
def from_array(array): """ Deserialize a new StickerMessage from a given dictionary. :return: new StickerMessage instance. :rtype: StickerMessage """ if array is None or not array: return None # end if assert_type_or_raise(array, dict, paramet...
python
def from_array(array): """ Deserialize a new StickerMessage from a given dictionary. :return: new StickerMessage instance. :rtype: StickerMessage """ if array is None or not array: return None # end if assert_type_or_raise(array, dict, paramet...
[ "def", "from_array", "(", "array", ")", ":", "if", "array", "is", "None", "or", "not", "array", ":", "return", "None", "# end if", "assert_type_or_raise", "(", "array", ",", "dict", ",", "parameter_name", "=", "\"array\"", ")", "from", "pytgbot", ".", "api...
Deserialize a new StickerMessage from a given dictionary. :return: new StickerMessage instance. :rtype: StickerMessage
[ "Deserialize", "a", "new", "StickerMessage", "from", "a", "given", "dictionary", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/code_generation/output/teleflask_messages.py#L3629-L3689
luckydonald/pytgbot
code_generation/output/teleflask_messages.py
InvoiceMessage.send
def send(self, sender: PytgbotApiBot): """ Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage """ return sender.send_invoice( # receiver, self.media, disable_notificati...
python
def send(self, sender: PytgbotApiBot): """ Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage """ return sender.send_invoice( # receiver, self.media, disable_notificati...
[ "def", "send", "(", "self", ",", "sender", ":", "PytgbotApiBot", ")", ":", "return", "sender", ".", "send_invoice", "(", "# receiver, self.media, disable_notification=self.disable_notification, reply_to_message_id=reply_id", "title", "=", "self", ".", "title", ",", "descr...
Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage
[ "Send", "the", "message", "via", "pytgbot", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/code_generation/output/teleflask_messages.py#L3955-L3967
luckydonald/pytgbot
code_generation/output/teleflask_messages.py
InvoiceMessage.to_array
def to_array(self): """ Serializes this InvoiceMessage to a dictionary. :return: dictionary representation of this object. :rtype: dict """ array = super(InvoiceMessage, self).to_array() array['title'] = u(self.title) # py2: type unicode, py3: type str ...
python
def to_array(self): """ Serializes this InvoiceMessage to a dictionary. :return: dictionary representation of this object. :rtype: dict """ array = super(InvoiceMessage, self).to_array() array['title'] = u(self.title) # py2: type unicode, py3: type str ...
[ "def", "to_array", "(", "self", ")", ":", "array", "=", "super", "(", "InvoiceMessage", ",", "self", ")", ".", "to_array", "(", ")", "array", "[", "'title'", "]", "=", "u", "(", "self", ".", "title", ")", "# py2: type unicode, py3: type str", "array", "[...
Serializes this InvoiceMessage to a dictionary. :return: dictionary representation of this object. :rtype: dict
[ "Serializes", "this", "InvoiceMessage", "to", "a", "dictionary", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/code_generation/output/teleflask_messages.py#L3970-L4039
luckydonald/pytgbot
code_generation/output/teleflask_messages.py
InvoiceMessage.from_array
def from_array(array): """ Deserialize a new InvoiceMessage from a given dictionary. :return: new InvoiceMessage instance. :rtype: InvoiceMessage """ if array is None or not array: return None # end if assert_type_or_raise(array, dict, paramet...
python
def from_array(array): """ Deserialize a new InvoiceMessage from a given dictionary. :return: new InvoiceMessage instance. :rtype: InvoiceMessage """ if array is None or not array: return None # end if assert_type_or_raise(array, dict, paramet...
[ "def", "from_array", "(", "array", ")", ":", "if", "array", "is", "None", "or", "not", "array", ":", "return", "None", "# end if", "assert_type_or_raise", "(", "array", ",", "dict", ",", "parameter_name", "=", "\"array\"", ")", "from", "pytgbot", ".", "api...
Deserialize a new InvoiceMessage from a given dictionary. :return: new InvoiceMessage instance. :rtype: InvoiceMessage
[ "Deserialize", "a", "new", "InvoiceMessage", "from", "a", "given", "dictionary", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/code_generation/output/teleflask_messages.py#L4043-L4100
luckydonald/pytgbot
code_generation/output/teleflask_messages.py
GameMessage.send
def send(self, sender: PytgbotApiBot): """ Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage """ return sender.send_game( # receiver, self.media, disable_notification=...
python
def send(self, sender: PytgbotApiBot): """ Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage """ return sender.send_game( # receiver, self.media, disable_notification=...
[ "def", "send", "(", "self", ",", "sender", ":", "PytgbotApiBot", ")", ":", "return", "sender", ".", "send_game", "(", "# receiver, self.media, disable_notification=self.disable_notification, reply_to_message_id=reply_id", "game_short_name", "=", "self", ".", "game_short_name"...
Send the message via pytgbot. :param sender: The bot instance to send with. :type sender: pytgbot.bot.Bot :rtype: PytgbotApiMessage
[ "Send", "the", "message", "via", "pytgbot", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/code_generation/output/teleflask_messages.py#L4203-L4215
luckydonald/pytgbot
code_generation/output/teleflask_messages.py
GameMessage.to_array
def to_array(self): """ Serializes this GameMessage to a dictionary. :return: dictionary representation of this object. :rtype: dict """ array = super(GameMessage, self).to_array() array['game_short_name'] = u(self.game_short_name) # py2: type unicode, py3: type...
python
def to_array(self): """ Serializes this GameMessage to a dictionary. :return: dictionary representation of this object. :rtype: dict """ array = super(GameMessage, self).to_array() array['game_short_name'] = u(self.game_short_name) # py2: type unicode, py3: type...
[ "def", "to_array", "(", "self", ")", ":", "array", "=", "super", "(", "GameMessage", ",", "self", ")", ".", "to_array", "(", ")", "array", "[", "'game_short_name'", "]", "=", "u", "(", "self", ".", "game_short_name", ")", "# py2: type unicode, py3: type str"...
Serializes this GameMessage to a dictionary. :return: dictionary representation of this object. :rtype: dict
[ "Serializes", "this", "GameMessage", "to", "a", "dictionary", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/code_generation/output/teleflask_messages.py#L4218-L4249
luckydonald/pytgbot
code_generation/output/teleflask_messages.py
GameMessage.from_array
def from_array(array): """ Deserialize a new GameMessage from a given dictionary. :return: new GameMessage instance. :rtype: GameMessage """ if array is None or not array: return None # end if assert_type_or_raise(array, dict, parameter_name="...
python
def from_array(array): """ Deserialize a new GameMessage from a given dictionary. :return: new GameMessage instance. :rtype: GameMessage """ if array is None or not array: return None # end if assert_type_or_raise(array, dict, parameter_name="...
[ "def", "from_array", "(", "array", ")", ":", "if", "array", "is", "None", "or", "not", "array", ":", "return", "None", "# end if", "assert_type_or_raise", "(", "array", ",", "dict", ",", "parameter_name", "=", "\"array\"", ")", "from", "pytgbot", ".", "api...
Deserialize a new GameMessage from a given dictionary. :return: new GameMessage instance. :rtype: GameMessage
[ "Deserialize", "a", "new", "GameMessage", "from", "a", "given", "dictionary", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/code_generation/output/teleflask_messages.py#L4253-L4291
delph-in/pydelphin
delphin/mrs/query.py
select_nodeids
def select_nodeids(xmrs, iv=None, label=None, pred=None): """ Return the list of matching nodeids in *xmrs*. Nodeids in *xmrs* match if their corresponding :class:`~delphin.mrs.components.ElementaryPredication` object matches its `intrinsic_variable` to *iv*, `label` to *label*, and `pred` to *...
python
def select_nodeids(xmrs, iv=None, label=None, pred=None): """ Return the list of matching nodeids in *xmrs*. Nodeids in *xmrs* match if their corresponding :class:`~delphin.mrs.components.ElementaryPredication` object matches its `intrinsic_variable` to *iv*, `label` to *label*, and `pred` to *...
[ "def", "select_nodeids", "(", "xmrs", ",", "iv", "=", "None", ",", "label", "=", "None", ",", "pred", "=", "None", ")", ":", "def", "datamatch", "(", "nid", ")", ":", "ep", "=", "xmrs", ".", "ep", "(", "nid", ")", "return", "(", "(", "iv", "is"...
Return the list of matching nodeids in *xmrs*. Nodeids in *xmrs* match if their corresponding :class:`~delphin.mrs.components.ElementaryPredication` object matches its `intrinsic_variable` to *iv*, `label` to *label*, and `pred` to *pred*. The *iv*, *label*, and *pred* filters are ignored if they a...
[ "Return", "the", "list", "of", "matching", "nodeids", "in", "*", "xmrs", "*", "." ]
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/mrs/query.py#L12-L37
delph-in/pydelphin
delphin/mrs/query.py
select_nodes
def select_nodes(xmrs, nodeid=None, pred=None): """ Return the list of matching nodes in *xmrs*. DMRS :class:`nodes <delphin.mrs.components.node>` for *xmrs* match if their `nodeid` matches *nodeid* and `pred` matches *pred*. The *nodeid* and *pred* filters are ignored if they are `None`. Args...
python
def select_nodes(xmrs, nodeid=None, pred=None): """ Return the list of matching nodes in *xmrs*. DMRS :class:`nodes <delphin.mrs.components.node>` for *xmrs* match if their `nodeid` matches *nodeid* and `pred` matches *pred*. The *nodeid* and *pred* filters are ignored if they are `None`. Args...
[ "def", "select_nodes", "(", "xmrs", ",", "nodeid", "=", "None", ",", "pred", "=", "None", ")", ":", "nodematch", "=", "lambda", "n", ":", "(", "(", "nodeid", "is", "None", "or", "n", ".", "nodeid", "==", "nodeid", ")", "and", "(", "pred", "is", "...
Return the list of matching nodes in *xmrs*. DMRS :class:`nodes <delphin.mrs.components.node>` for *xmrs* match if their `nodeid` matches *nodeid* and `pred` matches *pred*. The *nodeid* and *pred* filters are ignored if they are `None`. Args: xmrs (:class:`~delphin.mrs.xmrs.Xmrs`): semantic s...
[ "Return", "the", "list", "of", "matching", "nodes", "in", "*", "xmrs", "*", "." ]
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/mrs/query.py#L40-L59
delph-in/pydelphin
delphin/mrs/query.py
select_eps
def select_eps(xmrs, nodeid=None, iv=None, label=None, pred=None): """ Return the list of matching elementary predications in *xmrs*. :class:`~delphin.mrs.components.ElementaryPredication` objects for *xmrs* match if their `nodeid` matches *nodeid*, `intrinsic_variable` matches *iv*, `label` matche...
python
def select_eps(xmrs, nodeid=None, iv=None, label=None, pred=None): """ Return the list of matching elementary predications in *xmrs*. :class:`~delphin.mrs.components.ElementaryPredication` objects for *xmrs* match if their `nodeid` matches *nodeid*, `intrinsic_variable` matches *iv*, `label` matche...
[ "def", "select_eps", "(", "xmrs", ",", "nodeid", "=", "None", ",", "iv", "=", "None", ",", "label", "=", "None", ",", "pred", "=", "None", ")", ":", "epmatch", "=", "lambda", "n", ":", "(", "(", "nodeid", "is", "None", "or", "n", ".", "nodeid", ...
Return the list of matching elementary predications in *xmrs*. :class:`~delphin.mrs.components.ElementaryPredication` objects for *xmrs* match if their `nodeid` matches *nodeid*, `intrinsic_variable` matches *iv*, `label` matches *label*, and `pred` to *pred*. The *nodeid*, *iv*, *label*, and *pred* fi...
[ "Return", "the", "list", "of", "matching", "elementary", "predications", "in", "*", "xmrs", "*", "." ]
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/mrs/query.py#L62-L87
delph-in/pydelphin
delphin/mrs/query.py
select_args
def select_args(xmrs, nodeid=None, rargname=None, value=None): """ Return the list of matching (nodeid, role, value) triples in *xmrs*. Predication arguments in *xmrs* match if the `nodeid` of the :class:`~delphin.mrs.components.ElementaryPredication` they are arguments of match *nodeid*, their rol...
python
def select_args(xmrs, nodeid=None, rargname=None, value=None): """ Return the list of matching (nodeid, role, value) triples in *xmrs*. Predication arguments in *xmrs* match if the `nodeid` of the :class:`~delphin.mrs.components.ElementaryPredication` they are arguments of match *nodeid*, their rol...
[ "def", "select_args", "(", "xmrs", ",", "nodeid", "=", "None", ",", "rargname", "=", "None", ",", "value", "=", "None", ")", ":", "argmatch", "=", "lambda", "a", ":", "(", "(", "nodeid", "is", "None", "or", "a", "[", "0", "]", "==", "nodeid", ")"...
Return the list of matching (nodeid, role, value) triples in *xmrs*. Predication arguments in *xmrs* match if the `nodeid` of the :class:`~delphin.mrs.components.ElementaryPredication` they are arguments of match *nodeid*, their role matches *rargname*, and their value matches *value*. The *nodeid*, *r...
[ "Return", "the", "list", "of", "matching", "(", "nodeid", "role", "value", ")", "triples", "in", "*", "xmrs", "*", "." ]
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/mrs/query.py#L90-L128
delph-in/pydelphin
delphin/mrs/query.py
select_links
def select_links(xmrs, start=None, end=None, rargname=None, post=None): """ Return the list of matching links for *xmrs*. :class:`~delphin.mrs.components.Link` objects for *xmrs* match if their `start` matches *start*, `end` matches *end*, `rargname` matches *rargname*, and `post` matches *post*. T...
python
def select_links(xmrs, start=None, end=None, rargname=None, post=None): """ Return the list of matching links for *xmrs*. :class:`~delphin.mrs.components.Link` objects for *xmrs* match if their `start` matches *start*, `end` matches *end*, `rargname` matches *rargname*, and `post` matches *post*. T...
[ "def", "select_links", "(", "xmrs", ",", "start", "=", "None", ",", "end", "=", "None", ",", "rargname", "=", "None", ",", "post", "=", "None", ")", ":", "linkmatch", "=", "lambda", "l", ":", "(", "(", "start", "is", "None", "or", "l", ".", "star...
Return the list of matching links for *xmrs*. :class:`~delphin.mrs.components.Link` objects for *xmrs* match if their `start` matches *start*, `end` matches *end*, `rargname` matches *rargname*, and `post` matches *post*. The *start*, *end*, *rargname*, and *post* filters are ignored if they are `None`...
[ "Return", "the", "list", "of", "matching", "links", "for", "*", "xmrs", "*", "." ]
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/mrs/query.py#L131-L155
delph-in/pydelphin
delphin/mrs/query.py
select_hcons
def select_hcons(xmrs, hi=None, relation=None, lo=None): """ Return the list of matching HCONS for *xmrs*. :class:`~delphin.mrs.components.HandleConstraint` objects for *xmrs* match if their `hi` matches *hi*, `relation` matches *relation*, and `lo` matches *lo*. The *hi*, *relation*, and *lo* ...
python
def select_hcons(xmrs, hi=None, relation=None, lo=None): """ Return the list of matching HCONS for *xmrs*. :class:`~delphin.mrs.components.HandleConstraint` objects for *xmrs* match if their `hi` matches *hi*, `relation` matches *relation*, and `lo` matches *lo*. The *hi*, *relation*, and *lo* ...
[ "def", "select_hcons", "(", "xmrs", ",", "hi", "=", "None", ",", "relation", "=", "None", ",", "lo", "=", "None", ")", ":", "hcmatch", "=", "lambda", "hc", ":", "(", "(", "hi", "is", "None", "or", "hc", ".", "hi", "==", "hi", ")", "and", "(", ...
Return the list of matching HCONS for *xmrs*. :class:`~delphin.mrs.components.HandleConstraint` objects for *xmrs* match if their `hi` matches *hi*, `relation` matches *relation*, and `lo` matches *lo*. The *hi*, *relation*, and *lo* filters are ignored if they are `None`. Args: xmrs (:cla...
[ "Return", "the", "list", "of", "matching", "HCONS", "for", "*", "xmrs", "*", "." ]
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/mrs/query.py#L158-L180
delph-in/pydelphin
delphin/mrs/query.py
select_icons
def select_icons(xmrs, left=None, relation=None, right=None): """ Return the list of matching ICONS for *xmrs*. :class:`~delphin.mrs.components.IndividualConstraint` objects for *xmrs* match if their `left` matches *left*, `relation` matches *relation*, and `right` matches *right*. The *left*, *rel...
python
def select_icons(xmrs, left=None, relation=None, right=None): """ Return the list of matching ICONS for *xmrs*. :class:`~delphin.mrs.components.IndividualConstraint` objects for *xmrs* match if their `left` matches *left*, `relation` matches *relation*, and `right` matches *right*. The *left*, *rel...
[ "def", "select_icons", "(", "xmrs", ",", "left", "=", "None", ",", "relation", "=", "None", ",", "right", "=", "None", ")", ":", "icmatch", "=", "lambda", "ic", ":", "(", "(", "left", "is", "None", "or", "ic", ".", "left", "==", "left", ")", "and...
Return the list of matching ICONS for *xmrs*. :class:`~delphin.mrs.components.IndividualConstraint` objects for *xmrs* match if their `left` matches *left*, `relation` matches *relation*, and `right` matches *right*. The *left*, *relation*, and *right* filters are ignored if they are `None`. Args:...
[ "Return", "the", "list", "of", "matching", "ICONS", "for", "*", "xmrs", "*", "." ]
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/mrs/query.py#L183-L205
delph-in/pydelphin
delphin/mrs/query.py
find_argument_target
def find_argument_target(xmrs, nodeid, rargname): """ Return the target of an argument (rather than just the variable). Note: If the argument value is an intrinsic variable whose target is an EP that has a quantifier, the non-quantifier EP's nodeid will be returned. With this nodeid...
python
def find_argument_target(xmrs, nodeid, rargname): """ Return the target of an argument (rather than just the variable). Note: If the argument value is an intrinsic variable whose target is an EP that has a quantifier, the non-quantifier EP's nodeid will be returned. With this nodeid...
[ "def", "find_argument_target", "(", "xmrs", ",", "nodeid", ",", "rargname", ")", ":", "tgt", "=", "xmrs", ".", "args", "(", "nodeid", ")", "[", "rargname", "]", "if", "tgt", "in", "xmrs", ".", "variables", "(", ")", ":", "try", ":", "return", "xmrs",...
Return the target of an argument (rather than just the variable). Note: If the argument value is an intrinsic variable whose target is an EP that has a quantifier, the non-quantifier EP's nodeid will be returned. With this nodeid, one can then use :meth:`Xmrs.nodeid() <delphin.mrs.x...
[ "Return", "the", "target", "of", "an", "argument", "(", "rather", "than", "just", "the", "variable", ")", "." ]
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/mrs/query.py#L208-L254
delph-in/pydelphin
delphin/mrs/query.py
find_subgraphs_by_preds
def find_subgraphs_by_preds(xmrs, preds, connected=None): """ Yield subgraphs matching a list of predicates. Predicates may match multiple EPs/nodes in the *xmrs*, meaning that more than one subgraph is possible. Also, predicates in *preds* match in number, so if a predicate appears twice in *preds...
python
def find_subgraphs_by_preds(xmrs, preds, connected=None): """ Yield subgraphs matching a list of predicates. Predicates may match multiple EPs/nodes in the *xmrs*, meaning that more than one subgraph is possible. Also, predicates in *preds* match in number, so if a predicate appears twice in *preds...
[ "def", "find_subgraphs_by_preds", "(", "xmrs", ",", "preds", ",", "connected", "=", "None", ")", ":", "preds", "=", "list", "(", "preds", ")", "count", "=", "len", "(", "preds", ")", "# find all lists of nodeids such that the lists have no repeated nids;", "# keep t...
Yield subgraphs matching a list of predicates. Predicates may match multiple EPs/nodes in the *xmrs*, meaning that more than one subgraph is possible. Also, predicates in *preds* match in number, so if a predicate appears twice in *preds*, there will be two matching EPs/nodes in each subgraph. Arg...
[ "Yield", "subgraphs", "matching", "a", "list", "of", "predicates", "." ]
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/mrs/query.py#L257-L290
delph-in/pydelphin
delphin/mrs/query.py
intrinsic_variables
def intrinsic_variables(xmrs): """Return the list of all intrinsic variables in *xmrs*""" ivs = set( ep.intrinsic_variable for ep in xmrs.eps() if not ep.is_quantifier() and ep.intrinsic_variable is not None ) return sorted(ivs, key=var_id)
python
def intrinsic_variables(xmrs): """Return the list of all intrinsic variables in *xmrs*""" ivs = set( ep.intrinsic_variable for ep in xmrs.eps() if not ep.is_quantifier() and ep.intrinsic_variable is not None ) return sorted(ivs, key=var_id)
[ "def", "intrinsic_variables", "(", "xmrs", ")", ":", "ivs", "=", "set", "(", "ep", ".", "intrinsic_variable", "for", "ep", "in", "xmrs", ".", "eps", "(", ")", "if", "not", "ep", ".", "is_quantifier", "(", ")", "and", "ep", ".", "intrinsic_variable", "i...
Return the list of all intrinsic variables in *xmrs*
[ "Return", "the", "list", "of", "all", "intrinsic", "variables", "in", "*", "xmrs", "*" ]
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/mrs/query.py#L297-L303
delph-in/pydelphin
delphin/mrs/query.py
bound_variables
def bound_variables(xmrs): """Return the list of all bound variables in *xmrs*""" bvs = set( ep.intrinsic_variable for ep in xmrs.eps() if ep.is_quantifier() and ep.intrinsic_variable is not None ) return sorted(bvs, key=var_id)
python
def bound_variables(xmrs): """Return the list of all bound variables in *xmrs*""" bvs = set( ep.intrinsic_variable for ep in xmrs.eps() if ep.is_quantifier() and ep.intrinsic_variable is not None ) return sorted(bvs, key=var_id)
[ "def", "bound_variables", "(", "xmrs", ")", ":", "bvs", "=", "set", "(", "ep", ".", "intrinsic_variable", "for", "ep", "in", "xmrs", ".", "eps", "(", ")", "if", "ep", ".", "is_quantifier", "(", ")", "and", "ep", ".", "intrinsic_variable", "is", "not", ...
Return the list of all bound variables in *xmrs*
[ "Return", "the", "list", "of", "all", "bound", "variables", "in", "*", "xmrs", "*" ]
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/mrs/query.py#L305-L311
delph-in/pydelphin
delphin/mrs/query.py
in_labelset
def in_labelset(xmrs, nodeids, label=None): """ Test if all nodeids share a label. Args: nodeids: iterable of nodeids label (str, optional): the label that all nodeids must share Returns: bool: `True` if all nodeids share a label, otherwise `False` """ nodeids = set(node...
python
def in_labelset(xmrs, nodeids, label=None): """ Test if all nodeids share a label. Args: nodeids: iterable of nodeids label (str, optional): the label that all nodeids must share Returns: bool: `True` if all nodeids share a label, otherwise `False` """ nodeids = set(node...
[ "def", "in_labelset", "(", "xmrs", ",", "nodeids", ",", "label", "=", "None", ")", ":", "nodeids", "=", "set", "(", "nodeids", ")", "if", "label", "is", "None", ":", "label", "=", "xmrs", ".", "ep", "(", "next", "(", "iter", "(", "nodeids", ")", ...
Test if all nodeids share a label. Args: nodeids: iterable of nodeids label (str, optional): the label that all nodeids must share Returns: bool: `True` if all nodeids share a label, otherwise `False`
[ "Test", "if", "all", "nodeids", "share", "a", "label", "." ]
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/mrs/query.py#L313-L326
luckydonald/pytgbot
pytgbot/api_types/sendable/files.py
InputFile.get_input_media_referenced_files
def get_input_media_referenced_files(self, var_name): """ Generates a tuple with the value for the json/url argument and a dictionary for the multipart file upload. Will return something which might be similar to `('attach://{var_name}', {var_name: ('foo.png', open('foo.png', 'rb'), 'ima...
python
def get_input_media_referenced_files(self, var_name): """ Generates a tuple with the value for the json/url argument and a dictionary for the multipart file upload. Will return something which might be similar to `('attach://{var_name}', {var_name: ('foo.png', open('foo.png', 'rb'), 'ima...
[ "def", "get_input_media_referenced_files", "(", "self", ",", "var_name", ")", ":", "# file to be uploaded", "string", "=", "'attach://{name}'", ".", "format", "(", "name", "=", "var_name", ")", "return", "string", ",", "self", ".", "get_request_files", "(", "var_n...
Generates a tuple with the value for the json/url argument and a dictionary for the multipart file upload. Will return something which might be similar to `('attach://{var_name}', {var_name: ('foo.png', open('foo.png', 'rb'), 'image/png')})` or in the case of the :class:`InputFileUseFileID` cla...
[ "Generates", "a", "tuple", "with", "the", "value", "for", "the", "json", "/", "url", "argument", "and", "a", "dictionary", "for", "the", "multipart", "file", "upload", ".", "Will", "return", "something", "which", "might", "be", "similar", "to", "(", "attac...
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/pytgbot/api_types/sendable/files.py#L107-L124
luckydonald/pytgbot
pytgbot/api_types/sendable/files.py
InputFile.factory
def factory( cls, file_id=None, path=None, url=None, blob=None, mime=None, prefer_local_download=True, prefer_str=False, create_instance=True ): """ Creates a new InputFile subclass instance fitting the given parameters. :param prefer_local_download: If `True`, we do...
python
def factory( cls, file_id=None, path=None, url=None, blob=None, mime=None, prefer_local_download=True, prefer_str=False, create_instance=True ): """ Creates a new InputFile subclass instance fitting the given parameters. :param prefer_local_download: If `True`, we do...
[ "def", "factory", "(", "cls", ",", "file_id", "=", "None", ",", "path", "=", "None", ",", "url", "=", "None", ",", "blob", "=", "None", ",", "mime", "=", "None", ",", "prefer_local_download", "=", "True", ",", "prefer_str", "=", "False", ",", "create...
Creates a new InputFile subclass instance fitting the given parameters. :param prefer_local_download: If `True`, we download the file and send it to telegram. This is the default. If `False`, we send Telegram just the URL, and they'll try to download it. :type pre...
[ "Creates", "a", "new", "InputFile", "subclass", "instance", "fitting", "the", "given", "parameters", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/pytgbot/api_types/sendable/files.py#L149-L228
luckydonald/pytgbot
pytgbot/api_types/receivable/passport.py
PassportData.to_array
def to_array(self): """ Serializes this PassportData to a dictionary. :return: dictionary representation of this object. :rtype: dict """ array = super(PassportData, self).to_array() array['data'] = self._as_array(self.data) # type list of EncryptedPassportEleme...
python
def to_array(self): """ Serializes this PassportData to a dictionary. :return: dictionary representation of this object. :rtype: dict """ array = super(PassportData, self).to_array() array['data'] = self._as_array(self.data) # type list of EncryptedPassportEleme...
[ "def", "to_array", "(", "self", ")", ":", "array", "=", "super", "(", "PassportData", ",", "self", ")", ".", "to_array", "(", ")", "array", "[", "'data'", "]", "=", "self", ".", "_as_array", "(", "self", ".", "data", ")", "# type list of EncryptedPasspor...
Serializes this PassportData to a dictionary. :return: dictionary representation of this object. :rtype: dict
[ "Serializes", "this", "PassportData", "to", "a", "dictionary", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/pytgbot/api_types/receivable/passport.py#L63-L73
luckydonald/pytgbot
pytgbot/api_types/receivable/passport.py
PassportData.from_array
def from_array(array): """ Deserialize a new PassportData from a given dictionary. :return: new PassportData instance. :rtype: PassportData """ if array is None or not array: return None # end if assert_type_or_raise(array, dict, parameter_nam...
python
def from_array(array): """ Deserialize a new PassportData from a given dictionary. :return: new PassportData instance. :rtype: PassportData """ if array is None or not array: return None # end if assert_type_or_raise(array, dict, parameter_nam...
[ "def", "from_array", "(", "array", ")", ":", "if", "array", "is", "None", "or", "not", "array", ":", "return", "None", "# end if", "assert_type_or_raise", "(", "array", ",", "dict", ",", "parameter_name", "=", "\"array\"", ")", "data", "=", "{", "}", "da...
Deserialize a new PassportData from a given dictionary. :return: new PassportData instance. :rtype: PassportData
[ "Deserialize", "a", "new", "PassportData", "from", "a", "given", "dictionary", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/pytgbot/api_types/receivable/passport.py#L77-L94
luckydonald/pytgbot
pytgbot/api_types/receivable/passport.py
PassportFile.to_array
def to_array(self): """ Serializes this PassportFile to a dictionary. :return: dictionary representation of this object. :rtype: dict """ array = super(PassportFile, self).to_array() array['file_id'] = u(self.file_id) # py2: type unicode, py3: type str a...
python
def to_array(self): """ Serializes this PassportFile to a dictionary. :return: dictionary representation of this object. :rtype: dict """ array = super(PassportFile, self).to_array() array['file_id'] = u(self.file_id) # py2: type unicode, py3: type str a...
[ "def", "to_array", "(", "self", ")", ":", "array", "=", "super", "(", "PassportFile", ",", "self", ")", ".", "to_array", "(", ")", "array", "[", "'file_id'", "]", "=", "u", "(", "self", ".", "file_id", ")", "# py2: type unicode, py3: type str", "array", ...
Serializes this PassportFile to a dictionary. :return: dictionary representation of this object. :rtype: dict
[ "Serializes", "this", "PassportFile", "to", "a", "dictionary", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/pytgbot/api_types/receivable/passport.py#L186-L197
luckydonald/pytgbot
pytgbot/api_types/receivable/passport.py
EncryptedPassportElement.to_array
def to_array(self): """ Serializes this EncryptedPassportElement to a dictionary. :return: dictionary representation of this object. :rtype: dict """ array = super(EncryptedPassportElement, self).to_array() array['type'] = u(self.type) # py2: type unicode, py3: ...
python
def to_array(self): """ Serializes this EncryptedPassportElement to a dictionary. :return: dictionary representation of this object. :rtype: dict """ array = super(EncryptedPassportElement, self).to_array() array['type'] = u(self.type) # py2: type unicode, py3: ...
[ "def", "to_array", "(", "self", ")", ":", "array", "=", "super", "(", "EncryptedPassportElement", ",", "self", ")", ".", "to_array", "(", ")", "array", "[", "'type'", "]", "=", "u", "(", "self", ".", "type", ")", "# py2: type unicode, py3: type str", "arra...
Serializes this EncryptedPassportElement to a dictionary. :return: dictionary representation of this object. :rtype: dict
[ "Serializes", "this", "EncryptedPassportElement", "to", "a", "dictionary", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/pytgbot/api_types/receivable/passport.py#L373-L401
luckydonald/pytgbot
pytgbot/api_types/receivable/passport.py
EncryptedPassportElement.from_array
def from_array(array): """ Deserialize a new EncryptedPassportElement from a given dictionary. :return: new EncryptedPassportElement instance. :rtype: EncryptedPassportElement """ if array is None or not array: return None # end if assert_type...
python
def from_array(array): """ Deserialize a new EncryptedPassportElement from a given dictionary. :return: new EncryptedPassportElement instance. :rtype: EncryptedPassportElement """ if array is None or not array: return None # end if assert_type...
[ "def", "from_array", "(", "array", ")", ":", "if", "array", "is", "None", "or", "not", "array", ":", "return", "None", "# end if", "assert_type_or_raise", "(", "array", ",", "dict", ",", "parameter_name", "=", "\"array\"", ")", "data", "=", "{", "}", "da...
Deserialize a new EncryptedPassportElement from a given dictionary. :return: new EncryptedPassportElement instance. :rtype: EncryptedPassportElement
[ "Deserialize", "a", "new", "EncryptedPassportElement", "from", "a", "given", "dictionary", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/pytgbot/api_types/receivable/passport.py#L405-L430
luckydonald/pytgbot
pytgbot/api_types/receivable/passport.py
EncryptedCredentials.to_array
def to_array(self): """ Serializes this EncryptedCredentials to a dictionary. :return: dictionary representation of this object. :rtype: dict """ array = super(EncryptedCredentials, self).to_array() array['data'] = u(self.data) # py2: type unicode, py3: type str...
python
def to_array(self): """ Serializes this EncryptedCredentials to a dictionary. :return: dictionary representation of this object. :rtype: dict """ array = super(EncryptedCredentials, self).to_array() array['data'] = u(self.data) # py2: type unicode, py3: type str...
[ "def", "to_array", "(", "self", ")", ":", "array", "=", "super", "(", "EncryptedCredentials", ",", "self", ")", ".", "to_array", "(", ")", "array", "[", "'data'", "]", "=", "u", "(", "self", ".", "data", ")", "# py2: type unicode, py3: type str", "array", ...
Serializes this EncryptedCredentials to a dictionary. :return: dictionary representation of this object. :rtype: dict
[ "Serializes", "this", "EncryptedCredentials", "to", "a", "dictionary", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/pytgbot/api_types/receivable/passport.py#L522-L533
luckydonald/pytgbot
pytgbot/api_types/receivable/passport.py
EncryptedCredentials.from_array
def from_array(array): """ Deserialize a new EncryptedCredentials from a given dictionary. :return: new EncryptedCredentials instance. :rtype: EncryptedCredentials """ if array is None or not array: return None # end if assert_type_or_raise(ar...
python
def from_array(array): """ Deserialize a new EncryptedCredentials from a given dictionary. :return: new EncryptedCredentials instance. :rtype: EncryptedCredentials """ if array is None or not array: return None # end if assert_type_or_raise(ar...
[ "def", "from_array", "(", "array", ")", ":", "if", "array", "is", "None", "or", "not", "array", ":", "return", "None", "# end if", "assert_type_or_raise", "(", "array", ",", "dict", ",", "parameter_name", "=", "\"array\"", ")", "data", "=", "{", "}", "da...
Deserialize a new EncryptedCredentials from a given dictionary. :return: new EncryptedCredentials instance. :rtype: EncryptedCredentials
[ "Deserialize", "a", "new", "EncryptedCredentials", "from", "a", "given", "dictionary", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/pytgbot/api_types/receivable/passport.py#L537-L554
luckydonald/pytgbot
pytgbot/bot.py
Bot.get_updates
def get_updates(self, offset=None, limit=100, poll_timeout=0, allowed_updates=None, request_timeout=None, delta=timedelta(milliseconds=100), error_as_empty=False): """ Use this method to receive incoming updates using long polling. An Array of Update objects is returned. You can choose to set `...
python
def get_updates(self, offset=None, limit=100, poll_timeout=0, allowed_updates=None, request_timeout=None, delta=timedelta(milliseconds=100), error_as_empty=False): """ Use this method to receive incoming updates using long polling. An Array of Update objects is returned. You can choose to set `...
[ "def", "get_updates", "(", "self", ",", "offset", "=", "None", ",", "limit", "=", "100", ",", "poll_timeout", "=", "0", ",", "allowed_updates", "=", "None", ",", "request_timeout", "=", "None", ",", "delta", "=", "timedelta", "(", "milliseconds", "=", "1...
Use this method to receive incoming updates using long polling. An Array of Update objects is returned. You can choose to set `error_as_empty` to `True` or `False`. If `error_as_empty` is set to `True`, it will log that exception as warning, and fake an empty result, intended for use in for loo...
[ "Use", "this", "method", "to", "receive", "incoming", "updates", "using", "long", "polling", ".", "An", "Array", "of", "Update", "objects", "is", "returned", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/pytgbot/bot.py#L51-L152
luckydonald/pytgbot
pytgbot/bot.py
Bot.get_me
def get_me(self): """ A simple method for testing your bot's auth token. Requires no parameters. Returns basic information about the bot in form of a :class:`pytgbot.api_types.receivable.peer.User` object. https://core.telegram.org/bots/api#getme Returns: :return: Ret...
python
def get_me(self): """ A simple method for testing your bot's auth token. Requires no parameters. Returns basic information about the bot in form of a :class:`pytgbot.api_types.receivable.peer.User` object. https://core.telegram.org/bots/api#getme Returns: :return: Ret...
[ "def", "get_me", "(", "self", ")", ":", "result", "=", "self", ".", "do", "(", "\"getMe\"", ")", "if", "self", ".", "return_python_objects", ":", "logger", ".", "debug", "(", "\"Trying to parse {data}\"", ".", "format", "(", "data", "=", "repr", "(", "re...
A simple method for testing your bot's auth token. Requires no parameters. Returns basic information about the bot in form of a :class:`pytgbot.api_types.receivable.peer.User` object. https://core.telegram.org/bots/api#getme Returns: :return: Returns basic information about the bot i...
[ "A", "simple", "method", "for", "testing", "your", "bot", "s", "auth", "token", ".", "Requires", "no", "parameters", ".", "Returns", "basic", "information", "about", "the", "bot", "in", "form", "of", "a", ":", "class", ":", "pytgbot", ".", "api_types", "...
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/pytgbot/bot.py#L296-L321
luckydonald/pytgbot
pytgbot/bot.py
Bot.forward_message
def forward_message(self, chat_id, from_chat_id, message_id, disable_notification=False): """ Use this method to forward messages of any kind. On success, the sent Message is returned. https://core.telegram.org/bots/api#forwardmessage Parameters: :param chat_id: Unique identif...
python
def forward_message(self, chat_id, from_chat_id, message_id, disable_notification=False): """ Use this method to forward messages of any kind. On success, the sent Message is returned. https://core.telegram.org/bots/api#forwardmessage Parameters: :param chat_id: Unique identif...
[ "def", "forward_message", "(", "self", ",", "chat_id", ",", "from_chat_id", ",", "message_id", ",", "disable_notification", "=", "False", ")", ":", "assert_type_or_raise", "(", "chat_id", ",", "(", "int", ",", "unicode_type", ")", ",", "parameter_name", "=", "...
Use this method to forward messages of any kind. On success, the sent Message is returned. https://core.telegram.org/bots/api#forwardmessage Parameters: :param chat_id: Unique identifier for the target chat (chat id of user chat or group chat) or username of the target...
[ "Use", "this", "method", "to", "forward", "messages", "of", "any", "kind", ".", "On", "success", "the", "sent", "Message", "is", "returned", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/pytgbot/bot.py#L404-L458
luckydonald/pytgbot
pytgbot/bot.py
Bot.send_media_group
def send_media_group(self, chat_id, media, disable_notification=None, reply_to_message_id=None): """ Use this method to send a group of photos or videos as an album. On success, an array of the sent Messages is returned. https://core.telegram.org/bots/api#sendmediagroup Parameters: ...
python
def send_media_group(self, chat_id, media, disable_notification=None, reply_to_message_id=None): """ Use this method to send a group of photos or videos as an album. On success, an array of the sent Messages is returned. https://core.telegram.org/bots/api#sendmediagroup Parameters: ...
[ "def", "send_media_group", "(", "self", ",", "chat_id", ",", "media", ",", "disable_notification", "=", "None", ",", "reply_to_message_id", "=", "None", ")", ":", "assert_type_or_raise", "(", "chat_id", ",", "(", "int", ",", "unicode_type", ")", ",", "paramete...
Use this method to send a group of photos or videos as an album. On success, an array of the sent Messages is returned. https://core.telegram.org/bots/api#sendmediagroup Parameters: :param chat_id: Unique identifier for the target chat or username of the target channel (in the format @channe...
[ "Use", "this", "method", "to", "send", "a", "group", "of", "photos", "or", "videos", "as", "an", "album", ".", "On", "success", "an", "array", "of", "the", "sent", "Messages", "is", "returned", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/pytgbot/bot.py#L1149-L1213
luckydonald/pytgbot
pytgbot/bot.py
Bot.answer_inline_query
def answer_inline_query(self, inline_query_id, results, cache_time=None, is_personal=None, next_offset=None, switch_pm_text=None, switch_pm_parameter=None): """ Use this method to send answers to an inline query. On success, True is returned. No more than 50 results p...
python
def answer_inline_query(self, inline_query_id, results, cache_time=None, is_personal=None, next_offset=None, switch_pm_text=None, switch_pm_parameter=None): """ Use this method to send answers to an inline query. On success, True is returned. No more than 50 results p...
[ "def", "answer_inline_query", "(", "self", ",", "inline_query_id", ",", "results", ",", "cache_time", "=", "None", ",", "is_personal", "=", "None", ",", "next_offset", "=", "None", ",", "switch_pm_text", "=", "None", ",", "switch_pm_parameter", "=", "None", ")...
Use this method to send answers to an inline query. On success, True is returned. No more than 50 results per query are allowed. https://core.telegram.org/bots/api#answerinlinequery Parameters: :param inline_query_id: Unique identifier for the answered query :type inline_que...
[ "Use", "this", "method", "to", "send", "answers", "to", "an", "inline", "query", ".", "On", "success", "True", "is", "returned", ".", "No", "more", "than", "50", "results", "per", "query", "are", "allowed", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/pytgbot/bot.py#L3286-L3392
luckydonald/pytgbot
pytgbot/bot.py
Bot.set_game_score
def set_game_score(self, user_id, score, force=False, disable_edit_message=False, chat_id=None, message_id=None, inline_message_id=None): """ Use this method to set the score of the specified user in a game. On success, if the message was sent by the bot, returns the edited Message, otherwise re...
python
def set_game_score(self, user_id, score, force=False, disable_edit_message=False, chat_id=None, message_id=None, inline_message_id=None): """ Use this method to set the score of the specified user in a game. On success, if the message was sent by the bot, returns the edited Message, otherwise re...
[ "def", "set_game_score", "(", "self", ",", "user_id", ",", "score", ",", "force", "=", "False", ",", "disable_edit_message", "=", "False", ",", "chat_id", "=", "None", ",", "message_id", "=", "None", ",", "inline_message_id", "=", "None", ")", ":", "assert...
Use this method to set the score of the specified user in a game. On success, if the message was sent by the bot, returns the edited Message, otherwise returns True. Returns an error, if the new score is not greater than the user's current score in the chat and force is False. https://core.tele...
[ "Use", "this", "method", "to", "set", "the", "score", "of", "the", "specified", "user", "in", "a", "game", ".", "On", "success", "if", "the", "message", "was", "sent", "by", "the", "bot", "returns", "the", "edited", "Message", "otherwise", "returns", "Tr...
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/pytgbot/bot.py#L3759-L3833
luckydonald/pytgbot
pytgbot/bot.py
Bot._postprocess_request
def _postprocess_request(self, r): """ This converts the response to either the response or a parsed :class:`pytgbot.api_types.receivable.Receivable`. :param r: the request response :type r: requests.Response :return: The json response from the server, or, if `self.return_pyth...
python
def _postprocess_request(self, r): """ This converts the response to either the response or a parsed :class:`pytgbot.api_types.receivable.Receivable`. :param r: the request response :type r: requests.Response :return: The json response from the server, or, if `self.return_pyth...
[ "def", "_postprocess_request", "(", "self", ",", "r", ")", ":", "from", "DictObject", "import", "DictObject", "import", "requests", "assert", "isinstance", "(", "r", ",", "requests", ".", "Response", ")", "try", ":", "logger", ".", "debug", "(", "r", ".", ...
This converts the response to either the response or a parsed :class:`pytgbot.api_types.receivable.Receivable`. :param r: the request response :type r: requests.Response :return: The json response from the server, or, if `self.return_python_objects` is `True`, a parsed return type. :r...
[ "This", "converts", "the", "response", "to", "either", "the", "response", "or", "a", "parsed", ":", "class", ":", "pytgbot", ".", "api_types", ".", "receivable", ".", "Receivable", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/pytgbot/bot.py#L3964-L4001
luckydonald/pytgbot
pytgbot/bot.py
Bot._do_fileupload
def _do_fileupload(self, file_param_name, value, _command=None, _file_is_optional=False, **kwargs): """ :param file_param_name: For what field the file should be uploaded. :type file_param_name: str :param value: File to send. You can either pass a file_id as String to resend a file ...
python
def _do_fileupload(self, file_param_name, value, _command=None, _file_is_optional=False, **kwargs): """ :param file_param_name: For what field the file should be uploaded. :type file_param_name: str :param value: File to send. You can either pass a file_id as String to resend a file ...
[ "def", "_do_fileupload", "(", "self", ",", "file_param_name", ",", "value", ",", "_command", "=", "None", ",", "_file_is_optional", "=", "False", ",", "*", "*", "kwargs", ")", ":", "from", ".", "api_types", ".", "sendable", ".", "files", "import", "InputFi...
:param file_param_name: For what field the file should be uploaded. :type file_param_name: str :param value: File to send. You can either pass a file_id as String to resend a file file that is already on the Telegram servers, or upload a new file, specifying...
[ ":", "param", "file_param_name", ":", "For", "what", "field", "the", "file", "should", "be", "uploaded", ".", ":", "type", "file_param_name", ":", "str" ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/pytgbot/bot.py#L4004-L4064
luckydonald/pytgbot
code_generation/output/pytgbot/api_types/sendable/payments.py
LabeledPrice.to_array
def to_array(self): """ Serializes this LabeledPrice to a dictionary. :return: dictionary representation of this object. :rtype: dict """ array = super(LabeledPrice, self).to_array() array['label'] = u(self.label) # py2: type unicode, py3: type str arra...
python
def to_array(self): """ Serializes this LabeledPrice to a dictionary. :return: dictionary representation of this object. :rtype: dict """ array = super(LabeledPrice, self).to_array() array['label'] = u(self.label) # py2: type unicode, py3: type str arra...
[ "def", "to_array", "(", "self", ")", ":", "array", "=", "super", "(", "LabeledPrice", ",", "self", ")", ".", "to_array", "(", ")", "array", "[", "'label'", "]", "=", "u", "(", "self", ".", "label", ")", "# py2: type unicode, py3: type str", "array", "[",...
Serializes this LabeledPrice to a dictionary. :return: dictionary representation of this object. :rtype: dict
[ "Serializes", "this", "LabeledPrice", "to", "a", "dictionary", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/code_generation/output/pytgbot/api_types/sendable/payments.py#L53-L64
luckydonald/pytgbot
code_generation/output/pytgbot/api_types/sendable/payments.py
LabeledPrice.from_array
def from_array(array): """ Deserialize a new LabeledPrice from a given dictionary. :return: new LabeledPrice instance. :rtype: LabeledPrice """ if array is None or not array: return None # end if assert_type_or_raise(array, dict, parameter_nam...
python
def from_array(array): """ Deserialize a new LabeledPrice from a given dictionary. :return: new LabeledPrice instance. :rtype: LabeledPrice """ if array is None or not array: return None # end if assert_type_or_raise(array, dict, parameter_nam...
[ "def", "from_array", "(", "array", ")", ":", "if", "array", "is", "None", "or", "not", "array", ":", "return", "None", "# end if", "assert_type_or_raise", "(", "array", ",", "dict", ",", "parameter_name", "=", "\"array\"", ")", "data", "=", "{", "}", "da...
Deserialize a new LabeledPrice from a given dictionary. :return: new LabeledPrice instance. :rtype: LabeledPrice
[ "Deserialize", "a", "new", "LabeledPrice", "from", "a", "given", "dictionary", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/code_generation/output/pytgbot/api_types/sendable/payments.py#L68-L86
luckydonald/pytgbot
code_generation/output/pytgbot/api_types/sendable/payments.py
ShippingOption.to_array
def to_array(self): """ Serializes this ShippingOption to a dictionary. :return: dictionary representation of this object. :rtype: dict """ array = super(ShippingOption, self).to_array() array['id'] = u(self.id) # py2: type unicode, py3: type str array[...
python
def to_array(self): """ Serializes this ShippingOption to a dictionary. :return: dictionary representation of this object. :rtype: dict """ array = super(ShippingOption, self).to_array() array['id'] = u(self.id) # py2: type unicode, py3: type str array[...
[ "def", "to_array", "(", "self", ")", ":", "array", "=", "super", "(", "ShippingOption", ",", "self", ")", ".", "to_array", "(", ")", "array", "[", "'id'", "]", "=", "u", "(", "self", ".", "id", ")", "# py2: type unicode, py3: type str", "array", "[", "...
Serializes this ShippingOption to a dictionary. :return: dictionary representation of this object. :rtype: dict
[ "Serializes", "this", "ShippingOption", "to", "a", "dictionary", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/code_generation/output/pytgbot/api_types/sendable/payments.py#L171-L185
luckydonald/pytgbot
code_generation/output/pytgbot/api_types/sendable/payments.py
ShippingOption.from_array
def from_array(array): """ Deserialize a new ShippingOption from a given dictionary. :return: new ShippingOption instance. :rtype: ShippingOption """ if array is None or not array: return None # end if assert_type_or_raise(array, dict, paramet...
python
def from_array(array): """ Deserialize a new ShippingOption from a given dictionary. :return: new ShippingOption instance. :rtype: ShippingOption """ if array is None or not array: return None # end if assert_type_or_raise(array, dict, paramet...
[ "def", "from_array", "(", "array", ")", ":", "if", "array", "is", "None", "or", "not", "array", ":", "return", "None", "# end if", "assert_type_or_raise", "(", "array", ",", "dict", ",", "parameter_name", "=", "\"array\"", ")", "from", "pytgbot", ".", "api...
Deserialize a new ShippingOption from a given dictionary. :return: new ShippingOption instance. :rtype: ShippingOption
[ "Deserialize", "a", "new", "ShippingOption", "from", "a", "given", "dictionary", "." ]
train
https://github.com/luckydonald/pytgbot/blob/67f4b5a1510d4583d40b5477e876b1ef0eb8971b/code_generation/output/pytgbot/api_types/sendable/payments.py#L189-L210
delph-in/pydelphin
delphin/itsdb.py
_prepare_target
def _prepare_target(ts, tables, buffer_size): """Clear tables affected by the processing.""" for tablename in tables: table = ts[tablename] table[:] = [] if buffer_size is not None and table.is_attached(): table.write(append=False)
python
def _prepare_target(ts, tables, buffer_size): """Clear tables affected by the processing.""" for tablename in tables: table = ts[tablename] table[:] = [] if buffer_size is not None and table.is_attached(): table.write(append=False)
[ "def", "_prepare_target", "(", "ts", ",", "tables", ",", "buffer_size", ")", ":", "for", "tablename", "in", "tables", ":", "table", "=", "ts", "[", "tablename", "]", "table", "[", ":", "]", "=", "[", "]", "if", "buffer_size", "is", "not", "None", "an...
Clear tables affected by the processing.
[ "Clear", "tables", "affected", "by", "the", "processing", "." ]
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/itsdb.py#L1289-L1295
delph-in/pydelphin
delphin/itsdb.py
_prepare_source
def _prepare_source(selector, source): """Normalize source rows and selectors.""" tablename, fields = get_data_specifier(selector) if len(fields) != 1: raise ItsdbError( 'Selector must specify exactly one data column: {}' .format(selector) ) if isinstance(source, ...
python
def _prepare_source(selector, source): """Normalize source rows and selectors.""" tablename, fields = get_data_specifier(selector) if len(fields) != 1: raise ItsdbError( 'Selector must specify exactly one data column: {}' .format(selector) ) if isinstance(source, ...
[ "def", "_prepare_source", "(", "selector", ",", "source", ")", ":", "tablename", ",", "fields", "=", "get_data_specifier", "(", "selector", ")", "if", "len", "(", "fields", ")", "!=", "1", ":", "raise", "ItsdbError", "(", "'Selector must specify exactly one data...
Normalize source rows and selectors.
[ "Normalize", "source", "rows", "and", "selectors", "." ]
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/itsdb.py#L1298-L1311
delph-in/pydelphin
delphin/itsdb.py
_add_record
def _add_record(table, data, buffer_size): """ Prepare and append a Record into its Table; flush to disk if necessary. """ fields = table.fields # remove any keys that aren't relation fields for invalid_key in set(data).difference([f.name for f in fields]): del data[invalid_key] tabl...
python
def _add_record(table, data, buffer_size): """ Prepare and append a Record into its Table; flush to disk if necessary. """ fields = table.fields # remove any keys that aren't relation fields for invalid_key in set(data).difference([f.name for f in fields]): del data[invalid_key] tabl...
[ "def", "_add_record", "(", "table", ",", "data", ",", "buffer_size", ")", ":", "fields", "=", "table", ".", "fields", "# remove any keys that aren't relation fields", "for", "invalid_key", "in", "set", "(", "data", ")", ".", "difference", "(", "[", "f", ".", ...
Prepare and append a Record into its Table; flush to disk if necessary.
[ "Prepare", "and", "append", "a", "Record", "into", "its", "Table", ";", "flush", "to", "disk", "if", "necessary", "." ]
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/itsdb.py#L1314-L1328
delph-in/pydelphin
delphin/itsdb.py
get_data_specifier
def get_data_specifier(string): """ Return a tuple (table, col) for some [incr tsdb()] data specifier. For example:: item -> ('item', None) item:i-input -> ('item', ['i-input']) item:i-input@i-wf -> ('item', ['i-input', 'i-wf']) :i-input -> (None, ...
python
def get_data_specifier(string): """ Return a tuple (table, col) for some [incr tsdb()] data specifier. For example:: item -> ('item', None) item:i-input -> ('item', ['i-input']) item:i-input@i-wf -> ('item', ['i-input', 'i-wf']) :i-input -> (None, ...
[ "def", "get_data_specifier", "(", "string", ")", ":", "match", "=", "data_specifier_re", ".", "match", "(", "string", ")", "if", "match", "is", "None", ":", "return", "(", "None", ",", "None", ")", "table", "=", "match", ".", "group", "(", "'table'", "...
Return a tuple (table, col) for some [incr tsdb()] data specifier. For example:: item -> ('item', None) item:i-input -> ('item', ['i-input']) item:i-input@i-wf -> ('item', ['i-input', 'i-wf']) :i-input -> (None, ['i-input']) (otherwise) -> (N...
[ "Return", "a", "tuple", "(", "table", "col", ")", "for", "some", "[", "incr", "tsdb", "()", "]", "data", "specifier", ".", "For", "example", "::" ]
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/itsdb.py#L1335-L1353
delph-in/pydelphin
delphin/itsdb.py
decode_row
def decode_row(line, fields=None): """ Decode a raw line from a profile into a list of column values. Decoding involves splitting the line by the field delimiter (`"@"` by default) and unescaping special characters. If *fields* is given, cast the values into the datatype given by their respecti...
python
def decode_row(line, fields=None): """ Decode a raw line from a profile into a list of column values. Decoding involves splitting the line by the field delimiter (`"@"` by default) and unescaping special characters. If *fields* is given, cast the values into the datatype given by their respecti...
[ "def", "decode_row", "(", "line", ",", "fields", "=", "None", ")", ":", "cols", "=", "line", ".", "rstrip", "(", "'\\n'", ")", ".", "split", "(", "_field_delimiter", ")", "cols", "=", "list", "(", "map", "(", "unescape", ",", "cols", ")", ")", "if"...
Decode a raw line from a profile into a list of column values. Decoding involves splitting the line by the field delimiter (`"@"` by default) and unescaping special characters. If *fields* is given, cast the values into the datatype given by their respective Field object. Args: line: a raw...
[ "Decode", "a", "raw", "line", "from", "a", "profile", "into", "a", "list", "of", "column", "values", "." ]
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/itsdb.py#L1362-L1391
delph-in/pydelphin
delphin/itsdb.py
encode_row
def encode_row(fields): """ Encode a list of column values into a [incr tsdb()] profile line. Encoding involves escaping special characters for each value, then joining the values into a single string with the field delimiter (`"@"` by default). It does not fill in default values (see make_row(...
python
def encode_row(fields): """ Encode a list of column values into a [incr tsdb()] profile line. Encoding involves escaping special characters for each value, then joining the values into a single string with the field delimiter (`"@"` by default). It does not fill in default values (see make_row(...
[ "def", "encode_row", "(", "fields", ")", ":", "# NOTE: str(f) only works for Python3", "unicode_fields", "=", "[", "unicode", "(", "f", ")", "for", "f", "in", "fields", "]", "escaped_fields", "=", "map", "(", "escape", ",", "unicode_fields", ")", "return", "_f...
Encode a list of column values into a [incr tsdb()] profile line. Encoding involves escaping special characters for each value, then joining the values into a single string with the field delimiter (`"@"` by default). It does not fill in default values (see make_row()). Args: fields: a lis...
[ "Encode", "a", "list", "of", "column", "values", "into", "a", "[", "incr", "tsdb", "()", "]", "profile", "line", "." ]
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/itsdb.py#L1418-L1435
delph-in/pydelphin
delphin/itsdb.py
_table_filename
def _table_filename(tbl_filename): """ Determine if the table path should end in .gz or not and return it. A .gz path is preferred only if it exists and is newer than any regular text file path. Raises: :class:`delphin.exceptions.ItsdbError`: when neither the .gz nor text file ...
python
def _table_filename(tbl_filename): """ Determine if the table path should end in .gz or not and return it. A .gz path is preferred only if it exists and is newer than any regular text file path. Raises: :class:`delphin.exceptions.ItsdbError`: when neither the .gz nor text file ...
[ "def", "_table_filename", "(", "tbl_filename", ")", ":", "tbl_filename", "=", "str", "(", "tbl_filename", ")", "# convert any Path objects", "txfn", "=", "_normalize_table_path", "(", "tbl_filename", ")", "gzfn", "=", "txfn", "+", "'.gz'", "if", "os", ".", "path...
Determine if the table path should end in .gz or not and return it. A .gz path is preferred only if it exists and is newer than any regular text file path. Raises: :class:`delphin.exceptions.ItsdbError`: when neither the .gz nor text file exist.
[ "Determine", "if", "the", "table", "path", "should", "end", "in", ".", "gz", "or", "not", "and", "return", "it", "." ]
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/itsdb.py#L1478-L1508
delph-in/pydelphin
delphin/itsdb.py
_open_table
def _open_table(tbl_filename, encoding): """ Transparently open the compressed or text table file. Can be used as a context manager in a 'with' statement. """ path = _table_filename(tbl_filename) if path.endswith('.gz'): # gzip.open() cannot use mode='rt' until Python2.7 support ...
python
def _open_table(tbl_filename, encoding): """ Transparently open the compressed or text table file. Can be used as a context manager in a 'with' statement. """ path = _table_filename(tbl_filename) if path.endswith('.gz'): # gzip.open() cannot use mode='rt' until Python2.7 support ...
[ "def", "_open_table", "(", "tbl_filename", ",", "encoding", ")", ":", "path", "=", "_table_filename", "(", "tbl_filename", ")", "if", "path", ".", "endswith", "(", "'.gz'", ")", ":", "# gzip.open() cannot use mode='rt' until Python2.7 support", "# is gone; until then us...
Transparently open the compressed or text table file. Can be used as a context manager in a 'with' statement.
[ "Transparently", "open", "the", "compressed", "or", "text", "table", "file", "." ]
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/itsdb.py#L1512-L1528
delph-in/pydelphin
delphin/itsdb.py
make_row
def make_row(row, fields): """ Encode a mapping of column name to values into a [incr tsdb()] profile line. The *fields* parameter determines what columns are used, and default values are provided if a column is missing from the mapping. Args: row: a mapping of column names to values ...
python
def make_row(row, fields): """ Encode a mapping of column name to values into a [incr tsdb()] profile line. The *fields* parameter determines what columns are used, and default values are provided if a column is missing from the mapping. Args: row: a mapping of column names to values ...
[ "def", "make_row", "(", "row", ",", "fields", ")", ":", "if", "not", "hasattr", "(", "row", ",", "'get'", ")", ":", "row", "=", "{", "f", ".", "name", ":", "col", "for", "f", ",", "col", "in", "zip", "(", "fields", ",", "row", ")", "}", "row_...
Encode a mapping of column name to values into a [incr tsdb()] profile line. The *fields* parameter determines what columns are used, and default values are provided if a column is missing from the mapping. Args: row: a mapping of column names to values fields: an iterable of :class:`Fi...
[ "Encode", "a", "mapping", "of", "column", "name", "to", "values", "into", "a", "[", "incr", "tsdb", "()", "]", "profile", "line", ".", "The", "*", "fields", "*", "parameter", "determines", "what", "columns", "are", "used", "and", "default", "values", "ar...
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/itsdb.py#L1578-L1600
delph-in/pydelphin
delphin/itsdb.py
select_rows
def select_rows(cols, rows, mode='list', cast=True): """ Yield data selected from rows. It is sometimes useful to select a subset of data from a profile. This function selects the data in *cols* from *rows* and yields it in a form specified by *mode*. Possible values of *mode* are: ===========...
python
def select_rows(cols, rows, mode='list', cast=True): """ Yield data selected from rows. It is sometimes useful to select a subset of data from a profile. This function selects the data in *cols* from *rows* and yields it in a form specified by *mode*. Possible values of *mode* are: ===========...
[ "def", "select_rows", "(", "cols", ",", "rows", ",", "mode", "=", "'list'", ",", "cast", "=", "True", ")", ":", "mode", "=", "mode", ".", "lower", "(", ")", "if", "mode", "==", "'list'", ":", "modecast", "=", "lambda", "cols", ",", "data", ":", "...
Yield data selected from rows. It is sometimes useful to select a subset of data from a profile. This function selects the data in *cols* from *rows* and yields it in a form specified by *mode*. Possible values of *mode* are: ================== ================= ========================== mode ...
[ "Yield", "data", "selected", "from", "rows", "." ]
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/itsdb.py#L1603-L1645
delph-in/pydelphin
delphin/itsdb.py
match_rows
def match_rows(rows1, rows2, key, sort_keys=True): """ Yield triples of `(value, left_rows, right_rows)` where `left_rows` and `right_rows` are lists of rows that share the same column value for *key*. This means that both *rows1* and *rows2* must have a column with the same name *key*. .. warn...
python
def match_rows(rows1, rows2, key, sort_keys=True): """ Yield triples of `(value, left_rows, right_rows)` where `left_rows` and `right_rows` are lists of rows that share the same column value for *key*. This means that both *rows1* and *rows2* must have a column with the same name *key*. .. warn...
[ "def", "match_rows", "(", "rows1", ",", "rows2", ",", "key", ",", "sort_keys", "=", "True", ")", ":", "matched", "=", "OrderedDict", "(", ")", "for", "i", ",", "rows", "in", "enumerate", "(", "[", "rows1", ",", "rows2", "]", ")", ":", "for", "row",...
Yield triples of `(value, left_rows, right_rows)` where `left_rows` and `right_rows` are lists of rows that share the same column value for *key*. This means that both *rows1* and *rows2* must have a column with the same name *key*. .. warning:: Both *rows1* and *rows2* will exist in memory for...
[ "Yield", "triples", "of", "(", "value", "left_rows", "right_rows", ")", "where", "left_rows", "and", "right_rows", "are", "lists", "of", "rows", "that", "share", "the", "same", "column", "value", "for", "*", "key", "*", ".", "This", "means", "that", "both"...
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/itsdb.py#L1648-L1683
delph-in/pydelphin
delphin/itsdb.py
join
def join(table1, table2, on=None, how='inner', name=None): """ Join two tables and return the resulting Table object. Fields in the resulting table have their names prefixed with their corresponding table name. For example, when joining `item` and `parse` tables, the `i-input` field of the `item` t...
python
def join(table1, table2, on=None, how='inner', name=None): """ Join two tables and return the resulting Table object. Fields in the resulting table have their names prefixed with their corresponding table name. For example, when joining `item` and `parse` tables, the `i-input` field of the `item` t...
[ "def", "join", "(", "table1", ",", "table2", ",", "on", "=", "None", ",", "how", "=", "'inner'", ",", "name", "=", "None", ")", ":", "if", "how", "not", "in", "(", "'inner'", ",", "'left'", ")", ":", "ItsdbError", "(", "'Only \\'inner\\' and \\'left\\'...
Join two tables and return the resulting Table object. Fields in the resulting table have their names prefixed with their corresponding table name. For example, when joining `item` and `parse` tables, the `i-input` field of the `item` table will be named `item:i-input` in the resulting Table. Pivot fie...
[ "Join", "two", "tables", "and", "return", "the", "resulting", "Table", "object", "." ]
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/itsdb.py#L1686-L1734
delph-in/pydelphin
delphin/itsdb.py
default_value
def default_value(fieldname, datatype): """ Return the default value for a column. If the column name (e.g. *i-wf*) is defined to have an idiosyncratic value, that value is returned. Otherwise the default value for the column's datatype is returned. Args: fieldname: the column name (e....
python
def default_value(fieldname, datatype): """ Return the default value for a column. If the column name (e.g. *i-wf*) is defined to have an idiosyncratic value, that value is returned. Otherwise the default value for the column's datatype is returned. Args: fieldname: the column name (e....
[ "def", "default_value", "(", "fieldname", ",", "datatype", ")", ":", "if", "fieldname", "in", "tsdb_coded_attributes", ":", "return", "str", "(", "tsdb_coded_attributes", "[", "fieldname", "]", ")", "else", ":", "return", "_default_datatype_values", ".", "get", ...
Return the default value for a column. If the column name (e.g. *i-wf*) is defined to have an idiosyncratic value, that value is returned. Otherwise the default value for the column's datatype is returned. Args: fieldname: the column name (e.g. `i-wf`) datatype: the datatype of the col...
[ "Return", "the", "default", "value", "for", "a", "column", "." ]
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/itsdb.py#L1772-L1791
delph-in/pydelphin
delphin/itsdb.py
make_skeleton
def make_skeleton(path, relations, item_rows, gzip=False): """ Instantiate a new profile skeleton (only the relations file and item file) from an existing relations file and a list of rows for the item table. For standard relations files, it is suggested to have, as a minimum, the `i-id` and `i-inpu...
python
def make_skeleton(path, relations, item_rows, gzip=False): """ Instantiate a new profile skeleton (only the relations file and item file) from an existing relations file and a list of rows for the item table. For standard relations files, it is suggested to have, as a minimum, the `i-id` and `i-inpu...
[ "def", "make_skeleton", "(", "path", ",", "relations", ",", "item_rows", ",", "gzip", "=", "False", ")", ":", "try", ":", "os", ".", "makedirs", "(", "path", ")", "except", "OSError", ":", "raise", "ItsdbError", "(", "'Path already exists: {}.'", ".", "for...
Instantiate a new profile skeleton (only the relations file and item file) from an existing relations file and a list of rows for the item table. For standard relations files, it is suggested to have, as a minimum, the `i-id` and `i-input` fields in the item rows. Args: path: the destinatio...
[ "Instantiate", "a", "new", "profile", "skeleton", "(", "only", "the", "relations", "file", "and", "item", "file", ")", "from", "an", "existing", "relations", "file", "and", "a", "list", "of", "rows", "for", "the", "item", "table", ".", "For", "standard", ...
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/itsdb.py#L1795-L1827
delph-in/pydelphin
delphin/itsdb.py
filter_rows
def filter_rows(filters, rows): """ Yield rows matching all applicable filters. Filter functions have binary arity (e.g. `filter(row, col)`) where the first parameter is the dictionary of row data, and the second parameter is the data at one particular column. Args: filters: a tuple of...
python
def filter_rows(filters, rows): """ Yield rows matching all applicable filters. Filter functions have binary arity (e.g. `filter(row, col)`) where the first parameter is the dictionary of row data, and the second parameter is the data at one particular column. Args: filters: a tuple of...
[ "def", "filter_rows", "(", "filters", ",", "rows", ")", ":", "for", "row", "in", "rows", ":", "if", "all", "(", "condition", "(", "row", ",", "row", ".", "get", "(", "col", ")", ")", "for", "(", "cols", ",", "condition", ")", "in", "filters", "fo...
Yield rows matching all applicable filters. Filter functions have binary arity (e.g. `filter(row, col)`) where the first parameter is the dictionary of row data, and the second parameter is the data at one particular column. Args: filters: a tuple of (cols, filter_func) where filter_func will ...
[ "Yield", "rows", "matching", "all", "applicable", "filters", "." ]
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/itsdb.py#L1831-L1854
delph-in/pydelphin
delphin/itsdb.py
apply_rows
def apply_rows(applicators, rows): """ Yield rows after applying the applicator functions to them. Applicators are simple unary functions that return a value, and that value is stored in the yielded row. E.g. `row[col] = applicator(row[col])`. These are useful to, e.g., cast strings to numeric ...
python
def apply_rows(applicators, rows): """ Yield rows after applying the applicator functions to them. Applicators are simple unary functions that return a value, and that value is stored in the yielded row. E.g. `row[col] = applicator(row[col])`. These are useful to, e.g., cast strings to numeric ...
[ "def", "apply_rows", "(", "applicators", ",", "rows", ")", ":", "for", "row", "in", "rows", ":", "for", "(", "cols", ",", "function", ")", "in", "applicators", ":", "for", "col", "in", "(", "cols", "or", "[", "]", ")", ":", "value", "=", "row", "...
Yield rows after applying the applicator functions to them. Applicators are simple unary functions that return a value, and that value is stored in the yielded row. E.g. `row[col] = applicator(row[col])`. These are useful to, e.g., cast strings to numeric datatypes, to convert formats stored in a cell,...
[ "Yield", "rows", "after", "applying", "the", "applicator", "functions", "to", "them", "." ]
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/itsdb.py#L1858-L1883
delph-in/pydelphin
delphin/itsdb.py
Field.default_value
def default_value(self): """Get the default value of the field.""" if self.name in tsdb_coded_attributes: return tsdb_coded_attributes[self.name] elif self.datatype == ':integer': return -1 else: return ''
python
def default_value(self): """Get the default value of the field.""" if self.name in tsdb_coded_attributes: return tsdb_coded_attributes[self.name] elif self.datatype == ':integer': return -1 else: return ''
[ "def", "default_value", "(", "self", ")", ":", "if", "self", ".", "name", "in", "tsdb_coded_attributes", ":", "return", "tsdb_coded_attributes", "[", "self", ".", "name", "]", "elif", "self", ".", "datatype", "==", "':integer'", ":", "return", "-", "1", "e...
Get the default value of the field.
[ "Get", "the", "default", "value", "of", "the", "field", "." ]
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/itsdb.py#L183-L190
delph-in/pydelphin
delphin/itsdb.py
Relation.keys
def keys(self): """Return the tuple of field names of key fields.""" keys = self._keys if keys is None: keys = tuple(self[i].name for i in self.key_indices) return keys
python
def keys(self): """Return the tuple of field names of key fields.""" keys = self._keys if keys is None: keys = tuple(self[i].name for i in self.key_indices) return keys
[ "def", "keys", "(", "self", ")", ":", "keys", "=", "self", ".", "_keys", "if", "keys", "is", "None", ":", "keys", "=", "tuple", "(", "self", "[", "i", "]", ".", "name", "for", "i", "in", "self", ".", "key_indices", ")", "return", "keys" ]
Return the tuple of field names of key fields.
[ "Return", "the", "tuple", "of", "field", "names", "of", "key", "fields", "." ]
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/itsdb.py#L219-L224
delph-in/pydelphin
delphin/itsdb.py
Relations.from_file
def from_file(cls, source): """Instantiate Relations from a relations file.""" if hasattr(source, 'read'): relations = cls.from_string(source.read()) else: with open(source) as f: relations = cls.from_string(f.read()) return relations
python
def from_file(cls, source): """Instantiate Relations from a relations file.""" if hasattr(source, 'read'): relations = cls.from_string(source.read()) else: with open(source) as f: relations = cls.from_string(f.read()) return relations
[ "def", "from_file", "(", "cls", ",", "source", ")", ":", "if", "hasattr", "(", "source", ",", "'read'", ")", ":", "relations", "=", "cls", ".", "from_string", "(", "source", ".", "read", "(", ")", ")", "else", ":", "with", "open", "(", "source", ")...
Instantiate Relations from a relations file.
[ "Instantiate", "Relations", "from", "a", "relations", "file", "." ]
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/itsdb.py#L324-L331
delph-in/pydelphin
delphin/itsdb.py
Relations.from_string
def from_string(cls, s): """Instantiate Relations from a relations string.""" tables = [] seen = set() current_table = None lines = list(reversed(s.splitlines())) # to pop() in right order while lines: line = lines.pop().strip() table_m = re.match...
python
def from_string(cls, s): """Instantiate Relations from a relations string.""" tables = [] seen = set() current_table = None lines = list(reversed(s.splitlines())) # to pop() in right order while lines: line = lines.pop().strip() table_m = re.match...
[ "def", "from_string", "(", "cls", ",", "s", ")", ":", "tables", "=", "[", "]", "seen", "=", "set", "(", ")", "current_table", "=", "None", "lines", "=", "list", "(", "reversed", "(", "s", ".", "splitlines", "(", ")", ")", ")", "# to pop() in right or...
Instantiate Relations from a relations string.
[ "Instantiate", "Relations", "from", "a", "relations", "string", "." ]
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/itsdb.py#L334-L368
delph-in/pydelphin
delphin/itsdb.py
Relations.find
def find(self, fieldname): """ Return the list of tables that define the field *fieldname*. """ tablename, _, column = fieldname.rpartition(':') if tablename and tablename in self._field_map[column]: return tablename else: return self._field_map[fi...
python
def find(self, fieldname): """ Return the list of tables that define the field *fieldname*. """ tablename, _, column = fieldname.rpartition(':') if tablename and tablename in self._field_map[column]: return tablename else: return self._field_map[fi...
[ "def", "find", "(", "self", ",", "fieldname", ")", ":", "tablename", ",", "_", ",", "column", "=", "fieldname", ".", "rpartition", "(", "':'", ")", "if", "tablename", "and", "tablename", "in", "self", ".", "_field_map", "[", "column", "]", ":", "return...
Return the list of tables that define the field *fieldname*.
[ "Return", "the", "list", "of", "tables", "that", "define", "the", "field", "*", "fieldname", "*", "." ]
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/itsdb.py#L395-L403
delph-in/pydelphin
delphin/itsdb.py
Relations.path
def path(self, source, target): """ Find the path of id fields connecting two tables. This is just a basic breadth-first-search. The relations file should be small enough to not be a problem. Returns: list: (table, fieldname) pairs describing the path from ...
python
def path(self, source, target): """ Find the path of id fields connecting two tables. This is just a basic breadth-first-search. The relations file should be small enough to not be a problem. Returns: list: (table, fieldname) pairs describing the path from ...
[ "def", "path", "(", "self", ",", "source", ",", "target", ")", ":", "visited", "=", "set", "(", "source", ".", "split", "(", "'+'", ")", ")", "# split on + for joins", "targets", "=", "set", "(", "target", ".", "split", "(", "'+'", ")", ")", "-", "...
Find the path of id fields connecting two tables. This is just a basic breadth-first-search. The relations file should be small enough to not be a problem. Returns: list: (table, fieldname) pairs describing the path from the source to target tables Raises: ...
[ "Find", "the", "path", "of", "id", "fields", "connecting", "two", "tables", "." ]
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/itsdb.py#L405-L452
delph-in/pydelphin
delphin/itsdb.py
Record._make
def _make(cls, fields, iterable, table, rowid): """ Create a Record bound to a :class:`Table`. This is a helper method for creating Records from rows of a Table that is attached to a file. It is not meant to be called directly. It specifies the row number and a weak reference to...
python
def _make(cls, fields, iterable, table, rowid): """ Create a Record bound to a :class:`Table`. This is a helper method for creating Records from rows of a Table that is attached to a file. It is not meant to be called directly. It specifies the row number and a weak reference to...
[ "def", "_make", "(", "cls", ",", "fields", ",", "iterable", ",", "table", ",", "rowid", ")", ":", "record", "=", "cls", "(", "fields", ",", "iterable", ")", "record", ".", "_tableref", "=", "weakref", ".", "ref", "(", "table", ")", "record", ".", "...
Create a Record bound to a :class:`Table`. This is a helper method for creating Records from rows of a Table that is attached to a file. It is not meant to be called directly. It specifies the row number and a weak reference to the Table object so that when the Record is modified it is ...
[ "Create", "a", "Record", "bound", "to", "a", ":", "class", ":", "Table", "." ]
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/itsdb.py#L497-L514
delph-in/pydelphin
delphin/itsdb.py
Record.from_dict
def from_dict(cls, fields, mapping): """ Create a Record from a dictionary of field mappings. The *fields* object is used to determine the column indices of fields in the mapping. Args: fields: the Relation schema for the table of this record mapping: a ...
python
def from_dict(cls, fields, mapping): """ Create a Record from a dictionary of field mappings. The *fields* object is used to determine the column indices of fields in the mapping. Args: fields: the Relation schema for the table of this record mapping: a ...
[ "def", "from_dict", "(", "cls", ",", "fields", ",", "mapping", ")", ":", "iterable", "=", "[", "None", "]", "*", "len", "(", "fields", ")", "for", "key", ",", "value", "in", "mapping", ".", "items", "(", ")", ":", "try", ":", "index", "=", "field...
Create a Record from a dictionary of field mappings. The *fields* object is used to determine the column indices of fields in the mapping. Args: fields: the Relation schema for the table of this record mapping: a dictionary or other mapping from field names to ...
[ "Create", "a", "Record", "from", "a", "dictionary", "of", "field", "mappings", "." ]
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/itsdb.py#L517-L538
delph-in/pydelphin
delphin/itsdb.py
Record.get
def get(self, key, default=None, cast=True): """ Return the field data given by field name *key*. Args: key: the field name of the data to return default: the value to return if *key* is not in the row """ tablename, _, key = key.rpartition(':') i...
python
def get(self, key, default=None, cast=True): """ Return the field data given by field name *key*. Args: key: the field name of the data to return default: the value to return if *key* is not in the row """ tablename, _, key = key.rpartition(':') i...
[ "def", "get", "(", "self", ",", "key", ",", "default", "=", "None", ",", "cast", "=", "True", ")", ":", "tablename", ",", "_", ",", "key", "=", "key", ".", "rpartition", "(", "':'", ")", "if", "tablename", "and", "tablename", "not", "in", "self", ...
Return the field data given by field name *key*. Args: key: the field name of the data to return default: the value to return if *key* is not in the row
[ "Return", "the", "field", "data", "given", "by", "field", "name", "*", "key", "*", "." ]
train
https://github.com/delph-in/pydelphin/blob/7bd2cd63ab7cf74803e1d6547b9ebc014b382abd/delphin/itsdb.py#L581-L602