repository_name stringlengths 7 55 | func_path_in_repository stringlengths 4 223 | func_name stringlengths 1 134 | whole_func_string stringlengths 75 104k | language stringclasses 1
value | func_code_string stringlengths 75 104k | func_code_tokens listlengths 19 28.4k | func_documentation_string stringlengths 1 46.9k | func_documentation_tokens listlengths 1 1.97k | split_name stringclasses 1
value | func_code_url stringlengths 87 315 |
|---|---|---|---|---|---|---|---|---|---|---|
secynic/ipwhois | ipwhois/whois.py | Whois.get_nets_lacnic | def get_nets_lacnic(self, response):
"""
The function for parsing network blocks from LACNIC whois data.
Args:
response (:obj:`str`): The response from the LACNIC whois server.
Returns:
list of dict: Mapping of networks with start and end positions.
... | python | def get_nets_lacnic(self, response):
"""
The function for parsing network blocks from LACNIC whois data.
Args:
response (:obj:`str`): The response from the LACNIC whois server.
Returns:
list of dict: Mapping of networks with start and end positions.
... | [
"def",
"get_nets_lacnic",
"(",
"self",
",",
"response",
")",
":",
"nets",
"=",
"[",
"]",
"# Iterate through all of the networks found, storing the CIDR value",
"# and the start and end positions.",
"for",
"match",
"in",
"re",
".",
"finditer",
"(",
"r'^(inetnum|inet6num|rout... | The function for parsing network blocks from LACNIC whois data.
Args:
response (:obj:`str`): The response from the LACNIC whois server.
Returns:
list of dict: Mapping of networks with start and end positions.
::
[{
'cidr' (str) ... | [
"The",
"function",
"for",
"parsing",
"network",
"blocks",
"from",
"LACNIC",
"whois",
"data",
"."
] | train | https://github.com/secynic/ipwhois/blob/b5d634d36b0b942d538d38d77b3bdcd815f155a0/ipwhois/whois.py#L428-L496 |
secynic/ipwhois | ipwhois/whois.py | Whois._get_nets_lacnic | def _get_nets_lacnic(self, *args, **kwargs):
"""
Deprecated. This will be removed in a future release.
"""
from warnings import warn
warn('Whois._get_nets_lacnic() has been deprecated and will be '
'removed. You should now use Whois.get_nets_lacnic().')
retu... | python | def _get_nets_lacnic(self, *args, **kwargs):
"""
Deprecated. This will be removed in a future release.
"""
from warnings import warn
warn('Whois._get_nets_lacnic() has been deprecated and will be '
'removed. You should now use Whois.get_nets_lacnic().')
retu... | [
"def",
"_get_nets_lacnic",
"(",
"self",
",",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"from",
"warnings",
"import",
"warn",
"warn",
"(",
"'Whois._get_nets_lacnic() has been deprecated and will be '",
"'removed. You should now use Whois.get_nets_lacnic().'",
")",
"r... | Deprecated. This will be removed in a future release. | [
"Deprecated",
".",
"This",
"will",
"be",
"removed",
"in",
"a",
"future",
"release",
"."
] | train | https://github.com/secynic/ipwhois/blob/b5d634d36b0b942d538d38d77b3bdcd815f155a0/ipwhois/whois.py#L498-L506 |
secynic/ipwhois | ipwhois/whois.py | Whois.get_nets_other | def get_nets_other(self, response):
"""
The function for parsing network blocks from generic whois data.
Args:
response (:obj:`str`): The response from the whois/rwhois server.
Returns:
list of dict: Mapping of networks with start and end positions.
... | python | def get_nets_other(self, response):
"""
The function for parsing network blocks from generic whois data.
Args:
response (:obj:`str`): The response from the whois/rwhois server.
Returns:
list of dict: Mapping of networks with start and end positions.
... | [
"def",
"get_nets_other",
"(",
"self",
",",
"response",
")",
":",
"nets",
"=",
"[",
"]",
"# Iterate through all of the networks found, storing the CIDR value",
"# and the start and end positions.",
"for",
"match",
"in",
"re",
".",
"finditer",
"(",
"r'^(inetnum|inet6num|route... | The function for parsing network blocks from generic whois data.
Args:
response (:obj:`str`): The response from the whois/rwhois server.
Returns:
list of dict: Mapping of networks with start and end positions.
::
[{
'cidr' (str)... | [
"The",
"function",
"for",
"parsing",
"network",
"blocks",
"from",
"generic",
"whois",
"data",
"."
] | train | https://github.com/secynic/ipwhois/blob/b5d634d36b0b942d538d38d77b3bdcd815f155a0/ipwhois/whois.py#L508-L578 |
secynic/ipwhois | ipwhois/whois.py | Whois._get_nets_other | def _get_nets_other(self, *args, **kwargs):
"""
Deprecated. This will be removed in a future release.
"""
from warnings import warn
warn('Whois._get_nets_other() has been deprecated and will be '
'removed. You should now use Whois.get_nets_other().')
return ... | python | def _get_nets_other(self, *args, **kwargs):
"""
Deprecated. This will be removed in a future release.
"""
from warnings import warn
warn('Whois._get_nets_other() has been deprecated and will be '
'removed. You should now use Whois.get_nets_other().')
return ... | [
"def",
"_get_nets_other",
"(",
"self",
",",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"from",
"warnings",
"import",
"warn",
"warn",
"(",
"'Whois._get_nets_other() has been deprecated and will be '",
"'removed. You should now use Whois.get_nets_other().'",
")",
"retu... | Deprecated. This will be removed in a future release. | [
"Deprecated",
".",
"This",
"will",
"be",
"removed",
"in",
"a",
"future",
"release",
"."
] | train | https://github.com/secynic/ipwhois/blob/b5d634d36b0b942d538d38d77b3bdcd815f155a0/ipwhois/whois.py#L580-L588 |
secynic/ipwhois | ipwhois/whois.py | Whois.lookup | def lookup(self, inc_raw=False, retry_count=3, response=None,
get_referral=False, extra_blacklist=None,
ignore_referral_errors=False, asn_data=None,
field_list=None, is_offline=False):
"""
The function for retrieving and parsing whois information for an IP
... | python | def lookup(self, inc_raw=False, retry_count=3, response=None,
get_referral=False, extra_blacklist=None,
ignore_referral_errors=False, asn_data=None,
field_list=None, is_offline=False):
"""
The function for retrieving and parsing whois information for an IP
... | [
"def",
"lookup",
"(",
"self",
",",
"inc_raw",
"=",
"False",
",",
"retry_count",
"=",
"3",
",",
"response",
"=",
"None",
",",
"get_referral",
"=",
"False",
",",
"extra_blacklist",
"=",
"None",
",",
"ignore_referral_errors",
"=",
"False",
",",
"asn_data",
"=... | The function for retrieving and parsing whois information for an IP
address via port 43/tcp (WHOIS).
Args:
inc_raw (:obj:`bool`, optional): Whether to include the raw
results in the returned dictionary. Defaults to False.
retry_count (:obj:`int`): The number of t... | [
"The",
"function",
"for",
"retrieving",
"and",
"parsing",
"whois",
"information",
"for",
"an",
"IP",
"address",
"via",
"port",
"43",
"/",
"tcp",
"(",
"WHOIS",
")",
"."
] | train | https://github.com/secynic/ipwhois/blob/b5d634d36b0b942d538d38d77b3bdcd815f155a0/ipwhois/whois.py#L590-L809 |
secynic/ipwhois | ipwhois/ipwhois.py | IPWhois.lookup_whois | def lookup_whois(self, inc_raw=False, retry_count=3, get_referral=False,
extra_blacklist=None, ignore_referral_errors=False,
field_list=None, asn_alts=None, extra_org_map=None,
inc_nir=True, nir_field_list=None, asn_methods=None,
get_as... | python | def lookup_whois(self, inc_raw=False, retry_count=3, get_referral=False,
extra_blacklist=None, ignore_referral_errors=False,
field_list=None, asn_alts=None, extra_org_map=None,
inc_nir=True, nir_field_list=None, asn_methods=None,
get_as... | [
"def",
"lookup_whois",
"(",
"self",
",",
"inc_raw",
"=",
"False",
",",
"retry_count",
"=",
"3",
",",
"get_referral",
"=",
"False",
",",
"extra_blacklist",
"=",
"None",
",",
"ignore_referral_errors",
"=",
"False",
",",
"field_list",
"=",
"None",
",",
"asn_alt... | The function for retrieving and parsing whois information for an IP
address via port 43 (WHOIS).
Args:
inc_raw (:obj:`bool`): Whether to include the raw whois results in
the returned dictionary. Defaults to False.
retry_count (:obj:`int`): The number of times to ... | [
"The",
"function",
"for",
"retrieving",
"and",
"parsing",
"whois",
"information",
"for",
"an",
"IP",
"address",
"via",
"port",
"43",
"(",
"WHOIS",
")",
"."
] | train | https://github.com/secynic/ipwhois/blob/b5d634d36b0b942d538d38d77b3bdcd815f155a0/ipwhois/ipwhois.py#L72-L205 |
secynic/ipwhois | ipwhois/ipwhois.py | IPWhois.lookup_rdap | def lookup_rdap(self, inc_raw=False, retry_count=3, depth=0,
excluded_entities=None, bootstrap=False,
rate_limit_timeout=120, asn_alts=None, extra_org_map=None,
inc_nir=True, nir_field_list=None, asn_methods=None,
get_asn_description=True):... | python | def lookup_rdap(self, inc_raw=False, retry_count=3, depth=0,
excluded_entities=None, bootstrap=False,
rate_limit_timeout=120, asn_alts=None, extra_org_map=None,
inc_nir=True, nir_field_list=None, asn_methods=None,
get_asn_description=True):... | [
"def",
"lookup_rdap",
"(",
"self",
",",
"inc_raw",
"=",
"False",
",",
"retry_count",
"=",
"3",
",",
"depth",
"=",
"0",
",",
"excluded_entities",
"=",
"None",
",",
"bootstrap",
"=",
"False",
",",
"rate_limit_timeout",
"=",
"120",
",",
"asn_alts",
"=",
"No... | The function for retrieving and parsing whois information for an IP
address via HTTP (RDAP).
**This is now the recommended method, as RDAP contains much better
information to parse.**
Args:
inc_raw (:obj:`bool`): Whether to include the raw whois results in
t... | [
"The",
"function",
"for",
"retrieving",
"and",
"parsing",
"whois",
"information",
"for",
"an",
"IP",
"address",
"via",
"HTTP",
"(",
"RDAP",
")",
"."
] | train | https://github.com/secynic/ipwhois/blob/b5d634d36b0b942d538d38d77b3bdcd815f155a0/ipwhois/ipwhois.py#L207-L346 |
klen/marshmallow-peewee | marshmallow_peewee/fields.py | Timestamp._serialize | def _serialize(self, value, attr, obj, **kwargs):
"""Serialize given datetime to timestamp."""
if value is None:
return None
return int(datetime_to_timestamp(value)) | python | def _serialize(self, value, attr, obj, **kwargs):
"""Serialize given datetime to timestamp."""
if value is None:
return None
return int(datetime_to_timestamp(value)) | [
"def",
"_serialize",
"(",
"self",
",",
"value",
",",
"attr",
",",
"obj",
",",
"*",
"*",
"kwargs",
")",
":",
"if",
"value",
"is",
"None",
":",
"return",
"None",
"return",
"int",
"(",
"datetime_to_timestamp",
"(",
"value",
")",
")"
] | Serialize given datetime to timestamp. | [
"Serialize",
"given",
"datetime",
"to",
"timestamp",
"."
] | train | https://github.com/klen/marshmallow-peewee/blob/a5985daa4072605882a9c7c41d74881631943953/marshmallow_peewee/fields.py#L18-L23 |
klen/marshmallow-peewee | marshmallow_peewee/fields.py | MSTimestamp._serialize | def _serialize(self, value, *args, **kwargs):
"""Serialize given datetime to timestamp."""
if value is not None:
value = super(MSTimestamp, self)._serialize(value, *args) * 1e3
return value | python | def _serialize(self, value, *args, **kwargs):
"""Serialize given datetime to timestamp."""
if value is not None:
value = super(MSTimestamp, self)._serialize(value, *args) * 1e3
return value | [
"def",
"_serialize",
"(",
"self",
",",
"value",
",",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"if",
"value",
"is",
"not",
"None",
":",
"value",
"=",
"super",
"(",
"MSTimestamp",
",",
"self",
")",
".",
"_serialize",
"(",
"value",
",",
"*",
... | Serialize given datetime to timestamp. | [
"Serialize",
"given",
"datetime",
"to",
"timestamp",
"."
] | train | https://github.com/klen/marshmallow-peewee/blob/a5985daa4072605882a9c7c41d74881631943953/marshmallow_peewee/fields.py#L37-L41 |
klen/marshmallow-peewee | marshmallow_peewee/convert.py | ModelConverter.convert_default | def convert_default(self, field, **params):
"""Return raw field."""
for klass, ma_field in self.TYPE_MAPPING:
if isinstance(field, klass):
return ma_field(**params)
return fields.Raw(**params) | python | def convert_default(self, field, **params):
"""Return raw field."""
for klass, ma_field in self.TYPE_MAPPING:
if isinstance(field, klass):
return ma_field(**params)
return fields.Raw(**params) | [
"def",
"convert_default",
"(",
"self",
",",
"field",
",",
"*",
"*",
"params",
")",
":",
"for",
"klass",
",",
"ma_field",
"in",
"self",
".",
"TYPE_MAPPING",
":",
"if",
"isinstance",
"(",
"field",
",",
"klass",
")",
":",
"return",
"ma_field",
"(",
"*",
... | Return raw field. | [
"Return",
"raw",
"field",
"."
] | train | https://github.com/klen/marshmallow-peewee/blob/a5985daa4072605882a9c7c41d74881631943953/marshmallow_peewee/convert.py#L78-L83 |
klen/marshmallow-peewee | marshmallow_peewee/schema.py | ModelSchema.make_instance | def make_instance(self, data):
"""Build object from data."""
if not self.opts.model:
return data
if self.instance is not None:
for key, value in data.items():
setattr(self.instance, key, value)
return self.instance
return self.opts.mo... | python | def make_instance(self, data):
"""Build object from data."""
if not self.opts.model:
return data
if self.instance is not None:
for key, value in data.items():
setattr(self.instance, key, value)
return self.instance
return self.opts.mo... | [
"def",
"make_instance",
"(",
"self",
",",
"data",
")",
":",
"if",
"not",
"self",
".",
"opts",
".",
"model",
":",
"return",
"data",
"if",
"self",
".",
"instance",
"is",
"not",
"None",
":",
"for",
"key",
",",
"value",
"in",
"data",
".",
"items",
"(",... | Build object from data. | [
"Build",
"object",
"from",
"data",
"."
] | train | https://github.com/klen/marshmallow-peewee/blob/a5985daa4072605882a9c7c41d74881631943953/marshmallow_peewee/schema.py#L68-L78 |
tyarkoni/pliers | pliers/extractors/text.py | ComplexTextExtractor._extract | def _extract(self, stim):
''' Returns all words. '''
props = [(e.text, e.onset, e.duration) for e in stim.elements]
vals, onsets, durations = map(list, zip(*props))
return ExtractorResult(vals, stim, self, ['word'], onsets, durations) | python | def _extract(self, stim):
''' Returns all words. '''
props = [(e.text, e.onset, e.duration) for e in stim.elements]
vals, onsets, durations = map(list, zip(*props))
return ExtractorResult(vals, stim, self, ['word'], onsets, durations) | [
"def",
"_extract",
"(",
"self",
",",
"stim",
")",
":",
"props",
"=",
"[",
"(",
"e",
".",
"text",
",",
"e",
".",
"onset",
",",
"e",
".",
"duration",
")",
"for",
"e",
"in",
"stim",
".",
"elements",
"]",
"vals",
",",
"onsets",
",",
"durations",
"=... | Returns all words. | [
"Returns",
"all",
"words",
"."
] | train | https://github.com/tyarkoni/pliers/blob/5b3385960ebd8c6ef1e86dd5e1be0080b2cb7f2b/pliers/extractors/text.py#L44-L48 |
tyarkoni/pliers | pliers/stimuli/base.py | load_stims | def load_stims(source, dtype=None, fail_silently=False):
""" Load one or more stimuli directly from file, inferring/extracting
metadata as needed.
Args:
source (str or list): The location to load the stim(s) from. Can be
the path to a directory, to a single file, or a list of filenames.... | python | def load_stims(source, dtype=None, fail_silently=False):
""" Load one or more stimuli directly from file, inferring/extracting
metadata as needed.
Args:
source (str or list): The location to load the stim(s) from. Can be
the path to a directory, to a single file, or a list of filenames.... | [
"def",
"load_stims",
"(",
"source",
",",
"dtype",
"=",
"None",
",",
"fail_silently",
"=",
"False",
")",
":",
"from",
".",
"video",
"import",
"VideoStim",
",",
"ImageStim",
"from",
".",
"audio",
"import",
"AudioStim",
"from",
".",
"text",
"import",
"TextSti... | Load one or more stimuli directly from file, inferring/extracting
metadata as needed.
Args:
source (str or list): The location to load the stim(s) from. Can be
the path to a directory, to a single file, or a list of filenames.
dtype (str): The type of stim to load. If dtype is None,... | [
"Load",
"one",
"or",
"more",
"stimuli",
"directly",
"from",
"file",
"inferring",
"/",
"extracting",
"metadata",
"as",
"needed",
"."
] | train | https://github.com/tyarkoni/pliers/blob/5b3385960ebd8c6ef1e86dd5e1be0080b2cb7f2b/pliers/stimuli/base.py#L98-L168 |
tyarkoni/pliers | pliers/stimuli/base.py | Stim.get_filename | def get_filename(self):
''' Return the source filename of the current Stim. '''
if self.filename is None or not os.path.exists(self.filename):
tf = tempfile.mktemp() + self._default_file_extension
self.save(tf)
yield tf
os.remove(tf)
else:
... | python | def get_filename(self):
''' Return the source filename of the current Stim. '''
if self.filename is None or not os.path.exists(self.filename):
tf = tempfile.mktemp() + self._default_file_extension
self.save(tf)
yield tf
os.remove(tf)
else:
... | [
"def",
"get_filename",
"(",
"self",
")",
":",
"if",
"self",
".",
"filename",
"is",
"None",
"or",
"not",
"os",
".",
"path",
".",
"exists",
"(",
"self",
".",
"filename",
")",
":",
"tf",
"=",
"tempfile",
".",
"mktemp",
"(",
")",
"+",
"self",
".",
"_... | Return the source filename of the current Stim. | [
"Return",
"the",
"source",
"filename",
"of",
"the",
"current",
"Stim",
"."
] | train | https://github.com/tyarkoni/pliers/blob/5b3385960ebd8c6ef1e86dd5e1be0080b2cb7f2b/pliers/stimuli/base.py#L55-L63 |
tyarkoni/pliers | pliers/extractors/base.py | merge_results | def merge_results(results, format='wide', timing=True, metadata=True,
extractor_names=True, object_id=True, aggfunc=None,
invalid_results='ignore', **to_df_kwargs):
''' Merges a list of ExtractorResults instances and returns a pandas DF.
Args:
results (list, tuple): ... | python | def merge_results(results, format='wide', timing=True, metadata=True,
extractor_names=True, object_id=True, aggfunc=None,
invalid_results='ignore', **to_df_kwargs):
''' Merges a list of ExtractorResults instances and returns a pandas DF.
Args:
results (list, tuple): ... | [
"def",
"merge_results",
"(",
"results",
",",
"format",
"=",
"'wide'",
",",
"timing",
"=",
"True",
",",
"metadata",
"=",
"True",
",",
"extractor_names",
"=",
"True",
",",
"object_id",
"=",
"True",
",",
"aggfunc",
"=",
"None",
",",
"invalid_results",
"=",
... | Merges a list of ExtractorResults instances and returns a pandas DF.
Args:
results (list, tuple): A list of ExtractorResult instances to merge.
format (str): Format to return the data in. Can be either 'wide' or
'long'. In the wide case, every extracted feature is a column,
... | [
"Merges",
"a",
"list",
"of",
"ExtractorResults",
"instances",
"and",
"returns",
"a",
"pandas",
"DF",
"."
] | train | https://github.com/tyarkoni/pliers/blob/5b3385960ebd8c6ef1e86dd5e1be0080b2cb7f2b/pliers/extractors/base.py#L195-L332 |
tyarkoni/pliers | pliers/extractors/base.py | ExtractorResult.to_df | def to_df(self, timing=True, metadata=False, format='wide',
extractor_name=False, object_id=True, **to_df_kwargs):
''' Convert current instance to a pandas DatasFrame.
Args:
timing (bool): If True, adds columns for event onset and duration.
Note that these colu... | python | def to_df(self, timing=True, metadata=False, format='wide',
extractor_name=False, object_id=True, **to_df_kwargs):
''' Convert current instance to a pandas DatasFrame.
Args:
timing (bool): If True, adds columns for event onset and duration.
Note that these colu... | [
"def",
"to_df",
"(",
"self",
",",
"timing",
"=",
"True",
",",
"metadata",
"=",
"False",
",",
"format",
"=",
"'wide'",
",",
"extractor_name",
"=",
"False",
",",
"object_id",
"=",
"True",
",",
"*",
"*",
"to_df_kwargs",
")",
":",
"# Ideally, Extractors should... | Convert current instance to a pandas DatasFrame.
Args:
timing (bool): If True, adds columns for event onset and duration.
Note that these columns will be added even if there are no
valid values in the current object (NaNs will be inserted).
If 'auto',... | [
"Convert",
"current",
"instance",
"to",
"a",
"pandas",
"DatasFrame",
"."
] | train | https://github.com/tyarkoni/pliers/blob/5b3385960ebd8c6ef1e86dd5e1be0080b2cb7f2b/pliers/extractors/base.py#L77-L183 |
tyarkoni/pliers | pliers/stimuli/compound.py | CompoundStim.get_stim | def get_stim(self, type_, return_all=False):
''' Returns component elements of the specified type.
Args:
type_ (str or Stim class): the desired Stim subclass to return.
return_all (bool): when True, returns all elements that matched the
specified type as a list. ... | python | def get_stim(self, type_, return_all=False):
''' Returns component elements of the specified type.
Args:
type_ (str or Stim class): the desired Stim subclass to return.
return_all (bool): when True, returns all elements that matched the
specified type as a list. ... | [
"def",
"get_stim",
"(",
"self",
",",
"type_",
",",
"return_all",
"=",
"False",
")",
":",
"if",
"isinstance",
"(",
"type_",
",",
"string_types",
")",
":",
"type_",
"=",
"_get_stim_class",
"(",
"type_",
")",
"matches",
"=",
"[",
"]",
"for",
"s",
"in",
... | Returns component elements of the specified type.
Args:
type_ (str or Stim class): the desired Stim subclass to return.
return_all (bool): when True, returns all elements that matched the
specified type as a list. When False (default), returns only
the fi... | [
"Returns",
"component",
"elements",
"of",
"the",
"specified",
"type",
"."
] | train | https://github.com/tyarkoni/pliers/blob/5b3385960ebd8c6ef1e86dd5e1be0080b2cb7f2b/pliers/stimuli/compound.py#L57-L81 |
tyarkoni/pliers | pliers/stimuli/compound.py | CompoundStim.has_types | def has_types(self, types, all_=True):
''' Check whether the current component list matches all Stim types
in the types argument.
Args:
types (Stim, list): a Stim class or iterable of Stim classes.
all_ (bool): if True, all input types must match; if False, at
... | python | def has_types(self, types, all_=True):
''' Check whether the current component list matches all Stim types
in the types argument.
Args:
types (Stim, list): a Stim class or iterable of Stim classes.
all_ (bool): if True, all input types must match; if False, at
... | [
"def",
"has_types",
"(",
"self",
",",
"types",
",",
"all_",
"=",
"True",
")",
":",
"func",
"=",
"all",
"if",
"all_",
"else",
"any",
"return",
"func",
"(",
"[",
"self",
".",
"get_stim",
"(",
"t",
")",
"for",
"t",
"in",
"listify",
"(",
"types",
")"... | Check whether the current component list matches all Stim types
in the types argument.
Args:
types (Stim, list): a Stim class or iterable of Stim classes.
all_ (bool): if True, all input types must match; if False, at
least one input type must match.
Ret... | [
"Check",
"whether",
"the",
"current",
"component",
"list",
"matches",
"all",
"Stim",
"types",
"in",
"the",
"types",
"argument",
"."
] | train | https://github.com/tyarkoni/pliers/blob/5b3385960ebd8c6ef1e86dd5e1be0080b2cb7f2b/pliers/stimuli/compound.py#L87-L101 |
tyarkoni/pliers | pliers/transformers/base.py | get_transformer | def get_transformer(name, base=None, *args, **kwargs):
''' Scans list of currently available Transformer classes and returns an
instantiation of the first one whose name perfectly matches
(case-insensitive).
Args:
name (str): The name of the transformer to retrieve. Case-insensitive;
... | python | def get_transformer(name, base=None, *args, **kwargs):
''' Scans list of currently available Transformer classes and returns an
instantiation of the first one whose name perfectly matches
(case-insensitive).
Args:
name (str): The name of the transformer to retrieve. Case-insensitive;
... | [
"def",
"get_transformer",
"(",
"name",
",",
"base",
"=",
"None",
",",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"name",
"=",
"name",
".",
"lower",
"(",
")",
"# Default to searching all kinds of Transformers",
"if",
"base",
"is",
"None",
":",
"base",
... | Scans list of currently available Transformer classes and returns an
instantiation of the first one whose name perfectly matches
(case-insensitive).
Args:
name (str): The name of the transformer to retrieve. Case-insensitive;
e.g., 'stftextractor' or 'CornerDetectionExtractor'.
... | [
"Scans",
"list",
"of",
"currently",
"available",
"Transformer",
"classes",
"and",
"returns",
"an",
"instantiation",
"of",
"the",
"first",
"one",
"whose",
"name",
"perfectly",
"matches",
"(",
"case",
"-",
"insensitive",
")",
"."
] | train | https://github.com/tyarkoni/pliers/blob/5b3385960ebd8c6ef1e86dd5e1be0080b2cb7f2b/pliers/transformers/base.py#L286-L317 |
tyarkoni/pliers | pliers/transformers/base.py | Transformer.transform | def transform(self, stims, validation='strict', *args, **kwargs):
''' Executes the transformation on the passed stim(s).
Args:
stims (str, Stim, list): One or more stimuli to process. Must be
one of:
- A string giving the path to a file that can be read ... | python | def transform(self, stims, validation='strict', *args, **kwargs):
''' Executes the transformation on the passed stim(s).
Args:
stims (str, Stim, list): One or more stimuli to process. Must be
one of:
- A string giving the path to a file that can be read ... | [
"def",
"transform",
"(",
"self",
",",
"stims",
",",
"validation",
"=",
"'strict'",
",",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"if",
"isinstance",
"(",
"stims",
",",
"string_types",
")",
":",
"stims",
"=",
"load_stims",
"(",
"stims",
")",
"#... | Executes the transformation on the passed stim(s).
Args:
stims (str, Stim, list): One or more stimuli to process. Must be
one of:
- A string giving the path to a file that can be read in
as a Stim (e.g., a .txt file, .jpg image, etc.)
... | [
"Executes",
"the",
"transformation",
"on",
"the",
"passed",
"stim",
"(",
"s",
")",
"."
] | train | https://github.com/tyarkoni/pliers/blob/5b3385960ebd8c6ef1e86dd5e1be0080b2cb7f2b/pliers/transformers/base.py#L65-L134 |
tyarkoni/pliers | pliers/stimuli/audio.py | AudioStim.get_sampling_rate | def get_sampling_rate(filename):
''' Use moviepy/FFMPEG to get the sampling rate '''
infos = ffmpeg_parse_infos(filename)
fps = infos.get('audio_fps', 44100)
if fps == 'unknown':
fps = 44100
return fps | python | def get_sampling_rate(filename):
''' Use moviepy/FFMPEG to get the sampling rate '''
infos = ffmpeg_parse_infos(filename)
fps = infos.get('audio_fps', 44100)
if fps == 'unknown':
fps = 44100
return fps | [
"def",
"get_sampling_rate",
"(",
"filename",
")",
":",
"infos",
"=",
"ffmpeg_parse_infos",
"(",
"filename",
")",
"fps",
"=",
"infos",
".",
"get",
"(",
"'audio_fps'",
",",
"44100",
")",
"if",
"fps",
"==",
"'unknown'",
":",
"fps",
"=",
"44100",
"return",
"... | Use moviepy/FFMPEG to get the sampling rate | [
"Use",
"moviepy",
"/",
"FFMPEG",
"to",
"get",
"the",
"sampling",
"rate"
] | train | https://github.com/tyarkoni/pliers/blob/5b3385960ebd8c6ef1e86dd5e1be0080b2cb7f2b/pliers/stimuli/audio.py#L60-L66 |
tyarkoni/pliers | pliers/stimuli/audio.py | AudioStim.save | def save(self, path):
''' Save clip data to file.
Args:
path (str): Filename to save audio data to.
'''
self.clip.write_audiofile(path, fps=self.sampling_rate) | python | def save(self, path):
''' Save clip data to file.
Args:
path (str): Filename to save audio data to.
'''
self.clip.write_audiofile(path, fps=self.sampling_rate) | [
"def",
"save",
"(",
"self",
",",
"path",
")",
":",
"self",
".",
"clip",
".",
"write_audiofile",
"(",
"path",
",",
"fps",
"=",
"self",
".",
"sampling_rate",
")"
] | Save clip data to file.
Args:
path (str): Filename to save audio data to. | [
"Save",
"clip",
"data",
"to",
"file",
"."
] | train | https://github.com/tyarkoni/pliers/blob/5b3385960ebd8c6ef1e86dd5e1be0080b2cb7f2b/pliers/stimuli/audio.py#L77-L83 |
tyarkoni/pliers | pliers/config.py | _update_from_standard_locations | def _update_from_standard_locations():
''' Check standard locations for config files and update settings if found.
Order is user's home dir, environment variable ($PLIERS_CONFIG), and then
current directory--with later files taking precedence over earlier ones.
'''
locs = [
join(expanduser('... | python | def _update_from_standard_locations():
''' Check standard locations for config files and update settings if found.
Order is user's home dir, environment variable ($PLIERS_CONFIG), and then
current directory--with later files taking precedence over earlier ones.
'''
locs = [
join(expanduser('... | [
"def",
"_update_from_standard_locations",
"(",
")",
":",
"locs",
"=",
"[",
"join",
"(",
"expanduser",
"(",
"'~'",
")",
",",
"_config_name",
")",
",",
"join",
"(",
"'.'",
",",
"_config_name",
")",
"]",
"if",
"'PLIERS_CONFIG'",
"in",
"os",
".",
"environ",
... | Check standard locations for config files and update settings if found.
Order is user's home dir, environment variable ($PLIERS_CONFIG), and then
current directory--with later files taking precedence over earlier ones. | [
"Check",
"standard",
"locations",
"for",
"config",
"files",
"and",
"update",
"settings",
"if",
"found",
".",
"Order",
"is",
"user",
"s",
"home",
"dir",
"environment",
"variable",
"(",
"$PLIERS_CONFIG",
")",
"and",
"then",
"current",
"directory",
"--",
"with",
... | train | https://github.com/tyarkoni/pliers/blob/5b3385960ebd8c6ef1e86dd5e1be0080b2cb7f2b/pliers/config.py#L77-L89 |
tyarkoni/pliers | pliers/converters/base.py | get_converter | def get_converter(in_type, out_type, *args, **kwargs):
''' Scans the list of available Converters and returns an instantiation
of the first one whose input and output types match those passed in.
Args:
in_type (type): The type of input the converter must have.
out_type (type): The type of o... | python | def get_converter(in_type, out_type, *args, **kwargs):
''' Scans the list of available Converters and returns an instantiation
of the first one whose input and output types match those passed in.
Args:
in_type (type): The type of input the converter must have.
out_type (type): The type of o... | [
"def",
"get_converter",
"(",
"in_type",
",",
"out_type",
",",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"convs",
"=",
"pliers",
".",
"converters",
".",
"__all__",
"# If config includes default converters for this combination, try them",
"# first",
"out_type",
... | Scans the list of available Converters and returns an instantiation
of the first one whose input and output types match those passed in.
Args:
in_type (type): The type of input the converter must have.
out_type (type): The type of output the converter must have.
args, kwargs: Optional p... | [
"Scans",
"the",
"list",
"of",
"available",
"Converters",
"and",
"returns",
"an",
"instantiation",
"of",
"the",
"first",
"one",
"whose",
"input",
"and",
"output",
"types",
"match",
"those",
"passed",
"in",
"."
] | train | https://github.com/tyarkoni/pliers/blob/5b3385960ebd8c6ef1e86dd5e1be0080b2cb7f2b/pliers/converters/base.py#L27-L61 |
tyarkoni/pliers | pliers/external/tensorflow/classify_image.py | create_graph | def create_graph():
"""Creates a graph from saved GraphDef file and returns a saver."""
# Creates graph from saved graph_def.pb.
with tf.gfile.FastGFile(os.path.join(
FLAGS.model_dir, 'classify_image_graph_def.pb'), 'rb') as f:
graph_def = tf.GraphDef()
graph_def.ParseFromString(f.read())
_ = tf... | python | def create_graph():
"""Creates a graph from saved GraphDef file and returns a saver."""
# Creates graph from saved graph_def.pb.
with tf.gfile.FastGFile(os.path.join(
FLAGS.model_dir, 'classify_image_graph_def.pb'), 'rb') as f:
graph_def = tf.GraphDef()
graph_def.ParseFromString(f.read())
_ = tf... | [
"def",
"create_graph",
"(",
")",
":",
"# Creates graph from saved graph_def.pb.",
"with",
"tf",
".",
"gfile",
".",
"FastGFile",
"(",
"os",
".",
"path",
".",
"join",
"(",
"FLAGS",
".",
"model_dir",
",",
"'classify_image_graph_def.pb'",
")",
",",
"'rb'",
")",
"a... | Creates a graph from saved GraphDef file and returns a saver. | [
"Creates",
"a",
"graph",
"from",
"saved",
"GraphDef",
"file",
"and",
"returns",
"a",
"saver",
"."
] | train | https://github.com/tyarkoni/pliers/blob/5b3385960ebd8c6ef1e86dd5e1be0080b2cb7f2b/pliers/external/tensorflow/classify_image.py#L120-L127 |
tyarkoni/pliers | pliers/external/tensorflow/classify_image.py | run_inference_on_image | def run_inference_on_image(image):
"""Runs inference on an image.
Args:
image: Image file name.
Returns:
Nothing
"""
if not tf.gfile.Exists(image):
tf.logging.fatal('File does not exist %s', image)
image_data = tf.gfile.FastGFile(image, 'rb').read()
# Creates graph from saved GraphDef.
cr... | python | def run_inference_on_image(image):
"""Runs inference on an image.
Args:
image: Image file name.
Returns:
Nothing
"""
if not tf.gfile.Exists(image):
tf.logging.fatal('File does not exist %s', image)
image_data = tf.gfile.FastGFile(image, 'rb').read()
# Creates graph from saved GraphDef.
cr... | [
"def",
"run_inference_on_image",
"(",
"image",
")",
":",
"if",
"not",
"tf",
".",
"gfile",
".",
"Exists",
"(",
"image",
")",
":",
"tf",
".",
"logging",
".",
"fatal",
"(",
"'File does not exist %s'",
",",
"image",
")",
"image_data",
"=",
"tf",
".",
"gfile"... | Runs inference on an image.
Args:
image: Image file name.
Returns:
Nothing | [
"Runs",
"inference",
"on",
"an",
"image",
"."
] | train | https://github.com/tyarkoni/pliers/blob/5b3385960ebd8c6ef1e86dd5e1be0080b2cb7f2b/pliers/external/tensorflow/classify_image.py#L130-L167 |
tyarkoni/pliers | pliers/external/tensorflow/classify_image.py | NodeLookup.load | def load(self, label_lookup_path, uid_lookup_path):
"""Loads a human readable English name for each softmax node.
Args:
label_lookup_path: string UID to integer node ID.
uid_lookup_path: string UID to human-readable string.
Returns:
dict from integer node ID to human-readable string.
... | python | def load(self, label_lookup_path, uid_lookup_path):
"""Loads a human readable English name for each softmax node.
Args:
label_lookup_path: string UID to integer node ID.
uid_lookup_path: string UID to human-readable string.
Returns:
dict from integer node ID to human-readable string.
... | [
"def",
"load",
"(",
"self",
",",
"label_lookup_path",
",",
"uid_lookup_path",
")",
":",
"if",
"not",
"tf",
".",
"gfile",
".",
"Exists",
"(",
"uid_lookup_path",
")",
":",
"tf",
".",
"logging",
".",
"fatal",
"(",
"'File does not exist %s'",
",",
"uid_lookup_pa... | Loads a human readable English name for each softmax node.
Args:
label_lookup_path: string UID to integer node ID.
uid_lookup_path: string UID to human-readable string.
Returns:
dict from integer node ID to human-readable string. | [
"Loads",
"a",
"human",
"readable",
"English",
"name",
"for",
"each",
"softmax",
"node",
"."
] | train | https://github.com/tyarkoni/pliers/blob/5b3385960ebd8c6ef1e86dd5e1be0080b2cb7f2b/pliers/external/tensorflow/classify_image.py#L69-L112 |
tyarkoni/pliers | pliers/datasets/text.py | fetch_dictionary | def fetch_dictionary(name, url=None, format=None, index=0, rename=None,
save=True, force_retrieve=False):
''' Retrieve a dictionary of text norms from the web or local storage.
Args:
name (str): The name of the dictionary. If no url is passed, this must
match either one... | python | def fetch_dictionary(name, url=None, format=None, index=0, rename=None,
save=True, force_retrieve=False):
''' Retrieve a dictionary of text norms from the web or local storage.
Args:
name (str): The name of the dictionary. If no url is passed, this must
match either one... | [
"def",
"fetch_dictionary",
"(",
"name",
",",
"url",
"=",
"None",
",",
"format",
"=",
"None",
",",
"index",
"=",
"0",
",",
"rename",
"=",
"None",
",",
"save",
"=",
"True",
",",
"force_retrieve",
"=",
"False",
")",
":",
"file_path",
"=",
"os",
".",
"... | Retrieve a dictionary of text norms from the web or local storage.
Args:
name (str): The name of the dictionary. If no url is passed, this must
match either one of the keys in the predefined dictionary file (see
dictionaries.json), or the name assigned to a previous dictionary
... | [
"Retrieve",
"a",
"dictionary",
"of",
"text",
"norms",
"from",
"the",
"web",
"or",
"local",
"storage",
"."
] | train | https://github.com/tyarkoni/pliers/blob/5b3385960ebd8c6ef1e86dd5e1be0080b2cb7f2b/pliers/datasets/text.py#L57-L111 |
tyarkoni/pliers | pliers/extractors/api/google.py | GoogleVisionAPIFaceExtractor._to_df | def _to_df(self, result, handle_annotations=None):
'''
Converts a Google API Face JSON response into a Pandas Dataframe.
Args:
result (ExtractorResult): Result object from which to parse out a
Dataframe.
handle_annotations (str): How returned face annotat... | python | def _to_df(self, result, handle_annotations=None):
'''
Converts a Google API Face JSON response into a Pandas Dataframe.
Args:
result (ExtractorResult): Result object from which to parse out a
Dataframe.
handle_annotations (str): How returned face annotat... | [
"def",
"_to_df",
"(",
"self",
",",
"result",
",",
"handle_annotations",
"=",
"None",
")",
":",
"annotations",
"=",
"result",
".",
"_data",
"if",
"handle_annotations",
"==",
"'first'",
":",
"annotations",
"=",
"[",
"annotations",
"[",
"0",
"]",
"]",
"face_r... | Converts a Google API Face JSON response into a Pandas Dataframe.
Args:
result (ExtractorResult): Result object from which to parse out a
Dataframe.
handle_annotations (str): How returned face annotations should be
handled in cases where there are multipl... | [
"Converts",
"a",
"Google",
"API",
"Face",
"JSON",
"response",
"into",
"a",
"Pandas",
"Dataframe",
"."
] | train | https://github.com/tyarkoni/pliers/blob/5b3385960ebd8c6ef1e86dd5e1be0080b2cb7f2b/pliers/extractors/api/google.py#L50-L89 |
tyarkoni/pliers | pliers/diagnostics/diagnostics.py | correlation_matrix | def correlation_matrix(df):
'''
Returns a pandas DataFrame with the pair-wise correlations of the columns.
Args:
df: pandas DataFrame with columns to run diagnostics on
'''
columns = df.columns.tolist()
corr = pd.DataFrame(
np.corrcoef(df, rowvar=0), columns=columns, index=colum... | python | def correlation_matrix(df):
'''
Returns a pandas DataFrame with the pair-wise correlations of the columns.
Args:
df: pandas DataFrame with columns to run diagnostics on
'''
columns = df.columns.tolist()
corr = pd.DataFrame(
np.corrcoef(df, rowvar=0), columns=columns, index=colum... | [
"def",
"correlation_matrix",
"(",
"df",
")",
":",
"columns",
"=",
"df",
".",
"columns",
".",
"tolist",
"(",
")",
"corr",
"=",
"pd",
".",
"DataFrame",
"(",
"np",
".",
"corrcoef",
"(",
"df",
",",
"rowvar",
"=",
"0",
")",
",",
"columns",
"=",
"columns... | Returns a pandas DataFrame with the pair-wise correlations of the columns.
Args:
df: pandas DataFrame with columns to run diagnostics on | [
"Returns",
"a",
"pandas",
"DataFrame",
"with",
"the",
"pair",
"-",
"wise",
"correlations",
"of",
"the",
"columns",
"."
] | train | https://github.com/tyarkoni/pliers/blob/5b3385960ebd8c6ef1e86dd5e1be0080b2cb7f2b/pliers/diagnostics/diagnostics.py#L12-L22 |
tyarkoni/pliers | pliers/diagnostics/diagnostics.py | eigenvalues | def eigenvalues(df):
'''
Returns a pandas Series with eigenvalues of the correlation matrix.
Args:
df: pandas DataFrame with columns to run diagnostics on
'''
corr = np.corrcoef(df, rowvar=0)
eigvals = np.linalg.eigvals(corr)
return pd.Series(eigvals, df.columns, name='Eigenvalue') | python | def eigenvalues(df):
'''
Returns a pandas Series with eigenvalues of the correlation matrix.
Args:
df: pandas DataFrame with columns to run diagnostics on
'''
corr = np.corrcoef(df, rowvar=0)
eigvals = np.linalg.eigvals(corr)
return pd.Series(eigvals, df.columns, name='Eigenvalue') | [
"def",
"eigenvalues",
"(",
"df",
")",
":",
"corr",
"=",
"np",
".",
"corrcoef",
"(",
"df",
",",
"rowvar",
"=",
"0",
")",
"eigvals",
"=",
"np",
".",
"linalg",
".",
"eigvals",
"(",
"corr",
")",
"return",
"pd",
".",
"Series",
"(",
"eigvals",
",",
"df... | Returns a pandas Series with eigenvalues of the correlation matrix.
Args:
df: pandas DataFrame with columns to run diagnostics on | [
"Returns",
"a",
"pandas",
"Series",
"with",
"eigenvalues",
"of",
"the",
"correlation",
"matrix",
"."
] | train | https://github.com/tyarkoni/pliers/blob/5b3385960ebd8c6ef1e86dd5e1be0080b2cb7f2b/pliers/diagnostics/diagnostics.py#L25-L34 |
tyarkoni/pliers | pliers/diagnostics/diagnostics.py | condition_indices | def condition_indices(df):
'''
Returns a pandas Series with condition indices of the df columns.
Args:
df: pandas DataFrame with columns to run diagnostics on
'''
eigvals = eigenvalues(df)
cond_idx = np.sqrt(eigvals.max() / eigvals)
return pd.Series(cond_idx, df.columns, name='Condi... | python | def condition_indices(df):
'''
Returns a pandas Series with condition indices of the df columns.
Args:
df: pandas DataFrame with columns to run diagnostics on
'''
eigvals = eigenvalues(df)
cond_idx = np.sqrt(eigvals.max() / eigvals)
return pd.Series(cond_idx, df.columns, name='Condi... | [
"def",
"condition_indices",
"(",
"df",
")",
":",
"eigvals",
"=",
"eigenvalues",
"(",
"df",
")",
"cond_idx",
"=",
"np",
".",
"sqrt",
"(",
"eigvals",
".",
"max",
"(",
")",
"/",
"eigvals",
")",
"return",
"pd",
".",
"Series",
"(",
"cond_idx",
",",
"df",
... | Returns a pandas Series with condition indices of the df columns.
Args:
df: pandas DataFrame with columns to run diagnostics on | [
"Returns",
"a",
"pandas",
"Series",
"with",
"condition",
"indices",
"of",
"the",
"df",
"columns",
"."
] | train | https://github.com/tyarkoni/pliers/blob/5b3385960ebd8c6ef1e86dd5e1be0080b2cb7f2b/pliers/diagnostics/diagnostics.py#L37-L46 |
tyarkoni/pliers | pliers/diagnostics/diagnostics.py | variance_inflation_factors | def variance_inflation_factors(df):
'''
Computes the variance inflation factor (VIF) for each column in the df.
Returns a pandas Series of VIFs
Args:
df: pandas DataFrame with columns to run diagnostics on
'''
corr = np.corrcoef(df, rowvar=0)
corr_inv = np.linalg.inv(corr)
vifs ... | python | def variance_inflation_factors(df):
'''
Computes the variance inflation factor (VIF) for each column in the df.
Returns a pandas Series of VIFs
Args:
df: pandas DataFrame with columns to run diagnostics on
'''
corr = np.corrcoef(df, rowvar=0)
corr_inv = np.linalg.inv(corr)
vifs ... | [
"def",
"variance_inflation_factors",
"(",
"df",
")",
":",
"corr",
"=",
"np",
".",
"corrcoef",
"(",
"df",
",",
"rowvar",
"=",
"0",
")",
"corr_inv",
"=",
"np",
".",
"linalg",
".",
"inv",
"(",
"corr",
")",
"vifs",
"=",
"np",
".",
"diagonal",
"(",
"cor... | Computes the variance inflation factor (VIF) for each column in the df.
Returns a pandas Series of VIFs
Args:
df: pandas DataFrame with columns to run diagnostics on | [
"Computes",
"the",
"variance",
"inflation",
"factor",
"(",
"VIF",
")",
"for",
"each",
"column",
"in",
"the",
"df",
".",
"Returns",
"a",
"pandas",
"Series",
"of",
"VIFs"
] | train | https://github.com/tyarkoni/pliers/blob/5b3385960ebd8c6ef1e86dd5e1be0080b2cb7f2b/pliers/diagnostics/diagnostics.py#L49-L60 |
tyarkoni/pliers | pliers/diagnostics/diagnostics.py | mahalanobis_distances | def mahalanobis_distances(df, axis=0):
'''
Returns a pandas Series with Mahalanobis distances for each sample on the
axis.
Note: does not work well when # of observations < # of dimensions
Will either return NaN in answer
or (in the extreme case) fail with a Singular Matrix LinAlgError
Arg... | python | def mahalanobis_distances(df, axis=0):
'''
Returns a pandas Series with Mahalanobis distances for each sample on the
axis.
Note: does not work well when # of observations < # of dimensions
Will either return NaN in answer
or (in the extreme case) fail with a Singular Matrix LinAlgError
Arg... | [
"def",
"mahalanobis_distances",
"(",
"df",
",",
"axis",
"=",
"0",
")",
":",
"df",
"=",
"df",
".",
"transpose",
"(",
")",
"if",
"axis",
"==",
"1",
"else",
"df",
"means",
"=",
"df",
".",
"mean",
"(",
")",
"try",
":",
"inv_cov",
"=",
"np",
".",
"l... | Returns a pandas Series with Mahalanobis distances for each sample on the
axis.
Note: does not work well when # of observations < # of dimensions
Will either return NaN in answer
or (in the extreme case) fail with a Singular Matrix LinAlgError
Args:
df: pandas DataFrame with columns to run... | [
"Returns",
"a",
"pandas",
"Series",
"with",
"Mahalanobis",
"distances",
"for",
"each",
"sample",
"on",
"the",
"axis",
"."
] | train | https://github.com/tyarkoni/pliers/blob/5b3385960ebd8c6ef1e86dd5e1be0080b2cb7f2b/pliers/diagnostics/diagnostics.py#L63-L87 |
tyarkoni/pliers | pliers/diagnostics/diagnostics.py | Diagnostics.summary | def summary(self, stdout=True, plot=False):
'''
Displays diagnostics to the user
Args:
stdout (bool): print results to the console
plot (bool): use Seaborn to plot results
'''
if stdout:
print('Collinearity summary:')
print(pd.conc... | python | def summary(self, stdout=True, plot=False):
'''
Displays diagnostics to the user
Args:
stdout (bool): print results to the console
plot (bool): use Seaborn to plot results
'''
if stdout:
print('Collinearity summary:')
print(pd.conc... | [
"def",
"summary",
"(",
"self",
",",
"stdout",
"=",
"True",
",",
"plot",
"=",
"False",
")",
":",
"if",
"stdout",
":",
"print",
"(",
"'Collinearity summary:'",
")",
"print",
"(",
"pd",
".",
"concat",
"(",
"[",
"self",
".",
"results",
"[",
"'Eigenvalues'"... | Displays diagnostics to the user
Args:
stdout (bool): print results to the console
plot (bool): use Seaborn to plot results | [
"Displays",
"diagnostics",
"to",
"the",
"user"
] | train | https://github.com/tyarkoni/pliers/blob/5b3385960ebd8c6ef1e86dd5e1be0080b2cb7f2b/pliers/diagnostics/diagnostics.py#L128-L161 |
tyarkoni/pliers | pliers/diagnostics/diagnostics.py | Diagnostics.flag | def flag(self, diagnostic, thresh=None):
'''
Returns indices of diagnostic that satisfy (return True from) the
threshold predicate. Will use class-level default threshold if
None provided.
Args:
diagnostic (str): name of the diagnostic
thresh (func): thre... | python | def flag(self, diagnostic, thresh=None):
'''
Returns indices of diagnostic that satisfy (return True from) the
threshold predicate. Will use class-level default threshold if
None provided.
Args:
diagnostic (str): name of the diagnostic
thresh (func): thre... | [
"def",
"flag",
"(",
"self",
",",
"diagnostic",
",",
"thresh",
"=",
"None",
")",
":",
"if",
"thresh",
"is",
"None",
":",
"thresh",
"=",
"self",
".",
"defaults",
"[",
"diagnostic",
"]",
"result",
"=",
"self",
".",
"results",
"[",
"diagnostic",
"]",
"if... | Returns indices of diagnostic that satisfy (return True from) the
threshold predicate. Will use class-level default threshold if
None provided.
Args:
diagnostic (str): name of the diagnostic
thresh (func): threshold function (boolean predicate) to apply to
ea... | [
"Returns",
"indices",
"of",
"diagnostic",
"that",
"satisfy",
"(",
"return",
"True",
"from",
")",
"the",
"threshold",
"predicate",
".",
"Will",
"use",
"class",
"-",
"level",
"default",
"threshold",
"if",
"None",
"provided",
"."
] | train | https://github.com/tyarkoni/pliers/blob/5b3385960ebd8c6ef1e86dd5e1be0080b2cb7f2b/pliers/diagnostics/diagnostics.py#L163-L184 |
tyarkoni/pliers | pliers/diagnostics/diagnostics.py | Diagnostics.flag_all | def flag_all(self, thresh_dict=None, include=None, exclude=None):
'''
Returns indices of (rows, columns) that satisfy flag() on any
diagnostic. Uses user-provided thresholds in thresh_dict/
Args:
thresh_dict (dict): dictionary of diagnostic->threshold functions
i... | python | def flag_all(self, thresh_dict=None, include=None, exclude=None):
'''
Returns indices of (rows, columns) that satisfy flag() on any
diagnostic. Uses user-provided thresholds in thresh_dict/
Args:
thresh_dict (dict): dictionary of diagnostic->threshold functions
i... | [
"def",
"flag_all",
"(",
"self",
",",
"thresh_dict",
"=",
"None",
",",
"include",
"=",
"None",
",",
"exclude",
"=",
"None",
")",
":",
"if",
"thresh_dict",
"is",
"None",
":",
"thresh_dict",
"=",
"{",
"}",
"row_idx",
"=",
"set",
"(",
")",
"col_idx",
"="... | Returns indices of (rows, columns) that satisfy flag() on any
diagnostic. Uses user-provided thresholds in thresh_dict/
Args:
thresh_dict (dict): dictionary of diagnostic->threshold functions
include (list): optional sublist of diagnostics to flag
exclude (list): opt... | [
"Returns",
"indices",
"of",
"(",
"rows",
"columns",
")",
"that",
"satisfy",
"flag",
"()",
"on",
"any",
"diagnostic",
".",
"Uses",
"user",
"-",
"provided",
"thresholds",
"in",
"thresh_dict",
"/"
] | train | https://github.com/tyarkoni/pliers/blob/5b3385960ebd8c6ef1e86dd5e1be0080b2cb7f2b/pliers/diagnostics/diagnostics.py#L186-L214 |
tyarkoni/pliers | pliers/graph.py | Graph.add_nodes | def add_nodes(self, nodes, parent=None, mode='horizontal'):
''' Adds one or more nodes to the current graph.
Args:
nodes (list): A list of nodes to add. Each element must be one of
the following:
* A dict containing keyword args to pass onto to the Node init... | python | def add_nodes(self, nodes, parent=None, mode='horizontal'):
''' Adds one or more nodes to the current graph.
Args:
nodes (list): A list of nodes to add. Each element must be one of
the following:
* A dict containing keyword args to pass onto to the Node init... | [
"def",
"add_nodes",
"(",
"self",
",",
"nodes",
",",
"parent",
"=",
"None",
",",
"mode",
"=",
"'horizontal'",
")",
":",
"for",
"n",
"in",
"nodes",
":",
"node_args",
"=",
"self",
".",
"_parse_node_args",
"(",
"n",
")",
"if",
"mode",
"==",
"'horizontal'",... | Adds one or more nodes to the current graph.
Args:
nodes (list): A list of nodes to add. Each element must be one of
the following:
* A dict containing keyword args to pass onto to the Node init.
* An iterable containing 1 - 3 elements. The first ele... | [
"Adds",
"one",
"or",
"more",
"nodes",
"to",
"the",
"current",
"graph",
"."
] | train | https://github.com/tyarkoni/pliers/blob/5b3385960ebd8c6ef1e86dd5e1be0080b2cb7f2b/pliers/graph.py#L107-L144 |
tyarkoni/pliers | pliers/graph.py | Graph.add_node | def add_node(self, transformer, name=None, children=None, parent=None,
parameters={}, return_node=False):
''' Adds a node to the current graph.
Args:
transformer (str, Transformer): The pliers Transformer to use at
the to-be-added node. Either a case-insensi... | python | def add_node(self, transformer, name=None, children=None, parent=None,
parameters={}, return_node=False):
''' Adds a node to the current graph.
Args:
transformer (str, Transformer): The pliers Transformer to use at
the to-be-added node. Either a case-insensi... | [
"def",
"add_node",
"(",
"self",
",",
"transformer",
",",
"name",
"=",
"None",
",",
"children",
"=",
"None",
",",
"parent",
"=",
"None",
",",
"parameters",
"=",
"{",
"}",
",",
"return_node",
"=",
"False",
")",
":",
"node",
"=",
"Node",
"(",
"transform... | Adds a node to the current graph.
Args:
transformer (str, Transformer): The pliers Transformer to use at
the to-be-added node. Either a case-insensitive string giving
the name of a Transformer class, or an initialized Transformer
instance.
... | [
"Adds",
"a",
"node",
"to",
"the",
"current",
"graph",
"."
] | train | https://github.com/tyarkoni/pliers/blob/5b3385960ebd8c6ef1e86dd5e1be0080b2cb7f2b/pliers/graph.py#L154-L192 |
tyarkoni/pliers | pliers/graph.py | Graph.run | def run(self, stim, merge=True, **merge_kwargs):
''' Executes the graph by calling all Transformers in sequence.
Args:
stim (str, Stim, list): One or more valid inputs to any
Transformer's 'transform' call.
merge (bool): If True, all results are merged into a sin... | python | def run(self, stim, merge=True, **merge_kwargs):
''' Executes the graph by calling all Transformers in sequence.
Args:
stim (str, Stim, list): One or more valid inputs to any
Transformer's 'transform' call.
merge (bool): If True, all results are merged into a sin... | [
"def",
"run",
"(",
"self",
",",
"stim",
",",
"merge",
"=",
"True",
",",
"*",
"*",
"merge_kwargs",
")",
":",
"results",
"=",
"list",
"(",
"chain",
"(",
"*",
"[",
"self",
".",
"run_node",
"(",
"n",
",",
"stim",
")",
"for",
"n",
"in",
"self",
".",... | Executes the graph by calling all Transformers in sequence.
Args:
stim (str, Stim, list): One or more valid inputs to any
Transformer's 'transform' call.
merge (bool): If True, all results are merged into a single pandas
DataFrame before being returned. I... | [
"Executes",
"the",
"graph",
"by",
"calling",
"all",
"Transformers",
"in",
"sequence",
"."
] | train | https://github.com/tyarkoni/pliers/blob/5b3385960ebd8c6ef1e86dd5e1be0080b2cb7f2b/pliers/graph.py#L194-L210 |
tyarkoni/pliers | pliers/graph.py | Graph.run_node | def run_node(self, node, stim):
''' Executes the Transformer at a specific node.
Args:
node (str, Node): If a string, the name of the Node in the current
Graph. Otherwise the Node instance to execute.
stim (str, stim, list): Any valid input to the Transformer sto... | python | def run_node(self, node, stim):
''' Executes the Transformer at a specific node.
Args:
node (str, Node): If a string, the name of the Node in the current
Graph. Otherwise the Node instance to execute.
stim (str, stim, list): Any valid input to the Transformer sto... | [
"def",
"run_node",
"(",
"self",
",",
"node",
",",
"stim",
")",
":",
"if",
"isinstance",
"(",
"node",
",",
"string_types",
")",
":",
"node",
"=",
"self",
".",
"nodes",
"[",
"node",
"]",
"result",
"=",
"node",
".",
"transformer",
".",
"transform",
"(",... | Executes the Transformer at a specific node.
Args:
node (str, Node): If a string, the name of the Node in the current
Graph. Otherwise the Node instance to execute.
stim (str, stim, list): Any valid input to the Transformer stored
at the target node. | [
"Executes",
"the",
"Transformer",
"at",
"a",
"specific",
"node",
"."
] | train | https://github.com/tyarkoni/pliers/blob/5b3385960ebd8c6ef1e86dd5e1be0080b2cb7f2b/pliers/graph.py#L214-L235 |
tyarkoni/pliers | pliers/graph.py | Graph.draw | def draw(self, filename, color=True):
''' Render a plot of the graph via pygraphviz.
Args:
filename (str): Path to save the generated image to.
color (bool): If True, will color graph nodes based on their type,
otherwise will draw a black-and-white graph.
... | python | def draw(self, filename, color=True):
''' Render a plot of the graph via pygraphviz.
Args:
filename (str): Path to save the generated image to.
color (bool): If True, will color graph nodes based on their type,
otherwise will draw a black-and-white graph.
... | [
"def",
"draw",
"(",
"self",
",",
"filename",
",",
"color",
"=",
"True",
")",
":",
"verify_dependencies",
"(",
"[",
"'pgv'",
"]",
")",
"if",
"not",
"hasattr",
"(",
"self",
",",
"'_results'",
")",
":",
"raise",
"RuntimeError",
"(",
"\"Graph cannot be drawn b... | Render a plot of the graph via pygraphviz.
Args:
filename (str): Path to save the generated image to.
color (bool): If True, will color graph nodes based on their type,
otherwise will draw a black-and-white graph. | [
"Render",
"a",
"plot",
"of",
"the",
"graph",
"via",
"pygraphviz",
"."
] | train | https://github.com/tyarkoni/pliers/blob/5b3385960ebd8c6ef1e86dd5e1be0080b2cb7f2b/pliers/graph.py#L237-L298 |
tyarkoni/pliers | pliers/graph.py | Graph.to_json | def to_json(self):
''' Returns the JSON representation of this graph. '''
roots = []
for r in self.roots:
roots.append(r.to_json())
return {'roots': roots} | python | def to_json(self):
''' Returns the JSON representation of this graph. '''
roots = []
for r in self.roots:
roots.append(r.to_json())
return {'roots': roots} | [
"def",
"to_json",
"(",
"self",
")",
":",
"roots",
"=",
"[",
"]",
"for",
"r",
"in",
"self",
".",
"roots",
":",
"roots",
".",
"append",
"(",
"r",
".",
"to_json",
"(",
")",
")",
"return",
"{",
"'roots'",
":",
"roots",
"}"
] | Returns the JSON representation of this graph. | [
"Returns",
"the",
"JSON",
"representation",
"of",
"this",
"graph",
"."
] | train | https://github.com/tyarkoni/pliers/blob/5b3385960ebd8c6ef1e86dd5e1be0080b2cb7f2b/pliers/graph.py#L300-L305 |
tyarkoni/pliers | pliers/graph.py | Graph.save | def save(self, filename):
''' Writes the JSON representation of this graph to the provided
filename, such that the graph can be easily reconstructed using
Graph(spec=filename).
Args:
filename (str): Path at which to write out the json file.
'''
with open(file... | python | def save(self, filename):
''' Writes the JSON representation of this graph to the provided
filename, such that the graph can be easily reconstructed using
Graph(spec=filename).
Args:
filename (str): Path at which to write out the json file.
'''
with open(file... | [
"def",
"save",
"(",
"self",
",",
"filename",
")",
":",
"with",
"open",
"(",
"filename",
",",
"'w'",
")",
"as",
"outfile",
":",
"json",
".",
"dump",
"(",
"self",
".",
"to_json",
"(",
")",
",",
"outfile",
")"
] | Writes the JSON representation of this graph to the provided
filename, such that the graph can be easily reconstructed using
Graph(spec=filename).
Args:
filename (str): Path at which to write out the json file. | [
"Writes",
"the",
"JSON",
"representation",
"of",
"this",
"graph",
"to",
"the",
"provided",
"filename",
"such",
"that",
"the",
"graph",
"can",
"be",
"easily",
"reconstructed",
"using",
"Graph",
"(",
"spec",
"=",
"filename",
")",
"."
] | train | https://github.com/tyarkoni/pliers/blob/5b3385960ebd8c6ef1e86dd5e1be0080b2cb7f2b/pliers/graph.py#L307-L316 |
tyarkoni/pliers | pliers/utils/base.py | flatten | def flatten(l):
''' Flatten an iterable. '''
for el in l:
if isinstance(el, collections.Iterable) and not isinstance(el, string_types):
for sub in flatten(el):
yield sub
else:
yield el | python | def flatten(l):
''' Flatten an iterable. '''
for el in l:
if isinstance(el, collections.Iterable) and not isinstance(el, string_types):
for sub in flatten(el):
yield sub
else:
yield el | [
"def",
"flatten",
"(",
"l",
")",
":",
"for",
"el",
"in",
"l",
":",
"if",
"isinstance",
"(",
"el",
",",
"collections",
".",
"Iterable",
")",
"and",
"not",
"isinstance",
"(",
"el",
",",
"string_types",
")",
":",
"for",
"sub",
"in",
"flatten",
"(",
"e... | Flatten an iterable. | [
"Flatten",
"an",
"iterable",
"."
] | train | https://github.com/tyarkoni/pliers/blob/5b3385960ebd8c6ef1e86dd5e1be0080b2cb7f2b/pliers/utils/base.py#L20-L27 |
tyarkoni/pliers | pliers/utils/base.py | batch_iterable | def batch_iterable(l, n):
''' Chunks iterable into n sized batches
Solution from: http://stackoverflow.com/questions/1915170/split-a-generator-iterable-every-n-items-in-python-splitevery'''
i = iter(l)
piece = list(islice(i, n))
while piece:
yield piece
piece = list(islice(i, n)) | python | def batch_iterable(l, n):
''' Chunks iterable into n sized batches
Solution from: http://stackoverflow.com/questions/1915170/split-a-generator-iterable-every-n-items-in-python-splitevery'''
i = iter(l)
piece = list(islice(i, n))
while piece:
yield piece
piece = list(islice(i, n)) | [
"def",
"batch_iterable",
"(",
"l",
",",
"n",
")",
":",
"i",
"=",
"iter",
"(",
"l",
")",
"piece",
"=",
"list",
"(",
"islice",
"(",
"i",
",",
"n",
")",
")",
"while",
"piece",
":",
"yield",
"piece",
"piece",
"=",
"list",
"(",
"islice",
"(",
"i",
... | Chunks iterable into n sized batches
Solution from: http://stackoverflow.com/questions/1915170/split-a-generator-iterable-every-n-items-in-python-splitevery | [
"Chunks",
"iterable",
"into",
"n",
"sized",
"batches",
"Solution",
"from",
":",
"http",
":",
"//",
"stackoverflow",
".",
"com",
"/",
"questions",
"/",
"1915170",
"/",
"split",
"-",
"a",
"-",
"generator",
"-",
"iterable",
"-",
"every",
"-",
"n",
"-",
"i... | train | https://github.com/tyarkoni/pliers/blob/5b3385960ebd8c6ef1e86dd5e1be0080b2cb7f2b/pliers/utils/base.py#L45-L52 |
tyarkoni/pliers | pliers/utils/base.py | set_iterable_type | def set_iterable_type(obj):
''' Returns either a generator or a list depending on config-level
settings. Should be used to wrap almost every internal iterable return.
Also inspects elements recursively in the case of list returns, to
ensure that there are no nested generators. '''
if not isiterable(... | python | def set_iterable_type(obj):
''' Returns either a generator or a list depending on config-level
settings. Should be used to wrap almost every internal iterable return.
Also inspects elements recursively in the case of list returns, to
ensure that there are no nested generators. '''
if not isiterable(... | [
"def",
"set_iterable_type",
"(",
"obj",
")",
":",
"if",
"not",
"isiterable",
"(",
"obj",
")",
":",
"return",
"obj",
"if",
"config",
".",
"get_option",
"(",
"'use_generators'",
")",
":",
"return",
"obj",
"if",
"isgenerator",
"(",
"obj",
")",
"else",
"(",
... | Returns either a generator or a list depending on config-level
settings. Should be used to wrap almost every internal iterable return.
Also inspects elements recursively in the case of list returns, to
ensure that there are no nested generators. | [
"Returns",
"either",
"a",
"generator",
"or",
"a",
"list",
"depending",
"on",
"config",
"-",
"level",
"settings",
".",
"Should",
"be",
"used",
"to",
"wrap",
"almost",
"every",
"internal",
"iterable",
"return",
".",
"Also",
"inspects",
"elements",
"recursively",... | train | https://github.com/tyarkoni/pliers/blob/5b3385960ebd8c6ef1e86dd5e1be0080b2cb7f2b/pliers/utils/base.py#L55-L66 |
tyarkoni/pliers | pliers/utils/base.py | isgenerator | def isgenerator(obj):
''' Returns True if object is a generator, or a generator wrapped by a
tqdm object. '''
return isinstance(obj, GeneratorType) or (hasattr(obj, 'iterable') and
isinstance(getattr(obj, 'iterable'), GeneratorType)) | python | def isgenerator(obj):
''' Returns True if object is a generator, or a generator wrapped by a
tqdm object. '''
return isinstance(obj, GeneratorType) or (hasattr(obj, 'iterable') and
isinstance(getattr(obj, 'iterable'), GeneratorType)) | [
"def",
"isgenerator",
"(",
"obj",
")",
":",
"return",
"isinstance",
"(",
"obj",
",",
"GeneratorType",
")",
"or",
"(",
"hasattr",
"(",
"obj",
",",
"'iterable'",
")",
"and",
"isinstance",
"(",
"getattr",
"(",
"obj",
",",
"'iterable'",
")",
",",
"GeneratorT... | Returns True if object is a generator, or a generator wrapped by a
tqdm object. | [
"Returns",
"True",
"if",
"object",
"is",
"a",
"generator",
"or",
"a",
"generator",
"wrapped",
"by",
"a",
"tqdm",
"object",
"."
] | train | https://github.com/tyarkoni/pliers/blob/5b3385960ebd8c6ef1e86dd5e1be0080b2cb7f2b/pliers/utils/base.py#L85-L89 |
tyarkoni/pliers | pliers/utils/base.py | progress_bar_wrapper | def progress_bar_wrapper(iterable, **kwargs):
''' Wrapper that applies tqdm progress bar conditional on config settings.
'''
return tqdm(iterable, **kwargs) if (config.get_option('progress_bar')
and not isinstance(iterable, tqdm)) else iterable | python | def progress_bar_wrapper(iterable, **kwargs):
''' Wrapper that applies tqdm progress bar conditional on config settings.
'''
return tqdm(iterable, **kwargs) if (config.get_option('progress_bar')
and not isinstance(iterable, tqdm)) else iterable | [
"def",
"progress_bar_wrapper",
"(",
"iterable",
",",
"*",
"*",
"kwargs",
")",
":",
"return",
"tqdm",
"(",
"iterable",
",",
"*",
"*",
"kwargs",
")",
"if",
"(",
"config",
".",
"get_option",
"(",
"'progress_bar'",
")",
"and",
"not",
"isinstance",
"(",
"iter... | Wrapper that applies tqdm progress bar conditional on config settings. | [
"Wrapper",
"that",
"applies",
"tqdm",
"progress",
"bar",
"conditional",
"on",
"config",
"settings",
"."
] | train | https://github.com/tyarkoni/pliers/blob/5b3385960ebd8c6ef1e86dd5e1be0080b2cb7f2b/pliers/utils/base.py#L92-L96 |
tyarkoni/pliers | pliers/stimuli/video.py | VideoFrameCollectionStim.get_frame | def get_frame(self, index):
''' Get video frame at the specified index.
Args:
index (int): Positional index of the desired frame.
'''
frame_num = self.frame_index[index]
onset = float(frame_num) / self.fps
if index < self.n_frames - 1:
next_fram... | python | def get_frame(self, index):
''' Get video frame at the specified index.
Args:
index (int): Positional index of the desired frame.
'''
frame_num = self.frame_index[index]
onset = float(frame_num) / self.fps
if index < self.n_frames - 1:
next_fram... | [
"def",
"get_frame",
"(",
"self",
",",
"index",
")",
":",
"frame_num",
"=",
"self",
".",
"frame_index",
"[",
"index",
"]",
"onset",
"=",
"float",
"(",
"frame_num",
")",
"/",
"self",
".",
"fps",
"if",
"index",
"<",
"self",
".",
"n_frames",
"-",
"1",
... | Get video frame at the specified index.
Args:
index (int): Positional index of the desired frame. | [
"Get",
"video",
"frame",
"at",
"the",
"specified",
"index",
"."
] | train | https://github.com/tyarkoni/pliers/blob/5b3385960ebd8c6ef1e86dd5e1be0080b2cb7f2b/pliers/stimuli/video.py#L94-L114 |
tyarkoni/pliers | pliers/stimuli/video.py | VideoFrameCollectionStim.save | def save(self, path):
''' Save source video to file.
Args:
path (str): Filename to save to.
Notes: Saves entire source video to file, not just currently selected
frames.
'''
# IMPORTANT WARNING: saves entire source video
self.clip.write_videofile... | python | def save(self, path):
''' Save source video to file.
Args:
path (str): Filename to save to.
Notes: Saves entire source video to file, not just currently selected
frames.
'''
# IMPORTANT WARNING: saves entire source video
self.clip.write_videofile... | [
"def",
"save",
"(",
"self",
",",
"path",
")",
":",
"# IMPORTANT WARNING: saves entire source video",
"self",
".",
"clip",
".",
"write_videofile",
"(",
"path",
",",
"audio_fps",
"=",
"self",
".",
"clip",
".",
"audio",
".",
"fps",
")"
] | Save source video to file.
Args:
path (str): Filename to save to.
Notes: Saves entire source video to file, not just currently selected
frames. | [
"Save",
"source",
"video",
"to",
"file",
"."
] | train | https://github.com/tyarkoni/pliers/blob/5b3385960ebd8c6ef1e86dd5e1be0080b2cb7f2b/pliers/stimuli/video.py#L125-L135 |
tyarkoni/pliers | pliers/stimuli/video.py | VideoStim.get_frame | def get_frame(self, index=None, onset=None):
''' Overrides the default behavior by giving access to the onset
argument.
Args:
index (int): Positional index of the desired frame.
onset (float): Onset (in seconds) of the desired frame.
'''
if onset:
... | python | def get_frame(self, index=None, onset=None):
''' Overrides the default behavior by giving access to the onset
argument.
Args:
index (int): Positional index of the desired frame.
onset (float): Onset (in seconds) of the desired frame.
'''
if onset:
... | [
"def",
"get_frame",
"(",
"self",
",",
"index",
"=",
"None",
",",
"onset",
"=",
"None",
")",
":",
"if",
"onset",
":",
"index",
"=",
"int",
"(",
"onset",
"*",
"self",
".",
"fps",
")",
"return",
"super",
"(",
"VideoStim",
",",
"self",
")",
".",
"get... | Overrides the default behavior by giving access to the onset
argument.
Args:
index (int): Positional index of the desired frame.
onset (float): Onset (in seconds) of the desired frame. | [
"Overrides",
"the",
"default",
"behavior",
"by",
"giving",
"access",
"to",
"the",
"onset",
"argument",
"."
] | train | https://github.com/tyarkoni/pliers/blob/5b3385960ebd8c6ef1e86dd5e1be0080b2cb7f2b/pliers/stimuli/video.py#L159-L170 |
tyarkoni/pliers | pliers/utils/updater.py | hash_data | def hash_data(data, blocksize=65536):
"""" Hashes list of data, strings or data """
data = pickle.dumps(data)
hasher = hashlib.sha1()
hasher.update(data)
return hasher.hexdigest() | python | def hash_data(data, blocksize=65536):
"""" Hashes list of data, strings or data """
data = pickle.dumps(data)
hasher = hashlib.sha1()
hasher.update(data)
return hasher.hexdigest() | [
"def",
"hash_data",
"(",
"data",
",",
"blocksize",
"=",
"65536",
")",
":",
"data",
"=",
"pickle",
".",
"dumps",
"(",
"data",
")",
"hasher",
"=",
"hashlib",
".",
"sha1",
"(",
")",
"hasher",
".",
"update",
"(",
"data",
")",
"return",
"hasher",
".",
"... | Hashes list of data, strings or data | [
"Hashes",
"list",
"of",
"data",
"strings",
"or",
"data"
] | train | https://github.com/tyarkoni/pliers/blob/5b3385960ebd8c6ef1e86dd5e1be0080b2cb7f2b/pliers/utils/updater.py#L13-L20 |
tyarkoni/pliers | pliers/utils/updater.py | check_updates | def check_updates(transformers, datastore=None, stimuli=None):
""" Run transformers through a battery of stimuli, and check if output has
changed. Store results in csv file for comparison.
Args:
transformers (list): A list of tuples of transformer names and
dictionary of parameters to i... | python | def check_updates(transformers, datastore=None, stimuli=None):
""" Run transformers through a battery of stimuli, and check if output has
changed. Store results in csv file for comparison.
Args:
transformers (list): A list of tuples of transformer names and
dictionary of parameters to i... | [
"def",
"check_updates",
"(",
"transformers",
",",
"datastore",
"=",
"None",
",",
"stimuli",
"=",
"None",
")",
":",
"# Find datastore file",
"datastore",
"=",
"datastore",
"or",
"expanduser",
"(",
"'~/.pliers_updates'",
")",
"prior_data",
"=",
"pd",
".",
"read_cs... | Run transformers through a battery of stimuli, and check if output has
changed. Store results in csv file for comparison.
Args:
transformers (list): A list of tuples of transformer names and
dictionary of parameters to instantiate with (or empty dict).
datastore (str): Filepath of C... | [
"Run",
"transformers",
"through",
"a",
"battery",
"of",
"stimuli",
"and",
"check",
"if",
"output",
"has",
"changed",
".",
"Store",
"results",
"in",
"csv",
"file",
"for",
"comparison",
"."
] | train | https://github.com/tyarkoni/pliers/blob/5b3385960ebd8c6ef1e86dd5e1be0080b2cb7f2b/pliers/utils/updater.py#L23-L95 |
open-homeautomation/miflora | demo.py | valid_miflora_mac | def valid_miflora_mac(mac, pat=re.compile(r"C4:7C:8D:[0-9A-F]{2}:[0-9A-F]{2}:[0-9A-F]{2}")):
"""Check for valid mac adresses."""
if not pat.match(mac.upper()):
raise argparse.ArgumentTypeError('The MAC address "{}" seems to be in the wrong format'.format(mac))
return mac | python | def valid_miflora_mac(mac, pat=re.compile(r"C4:7C:8D:[0-9A-F]{2}:[0-9A-F]{2}:[0-9A-F]{2}")):
"""Check for valid mac adresses."""
if not pat.match(mac.upper()):
raise argparse.ArgumentTypeError('The MAC address "{}" seems to be in the wrong format'.format(mac))
return mac | [
"def",
"valid_miflora_mac",
"(",
"mac",
",",
"pat",
"=",
"re",
".",
"compile",
"(",
"r\"C4:7C:8D:[0-9A-F]{2}:[0-9A-F]{2}:[0-9A-F]{2}\"",
")",
")",
":",
"if",
"not",
"pat",
".",
"match",
"(",
"mac",
".",
"upper",
"(",
")",
")",
":",
"raise",
"argparse",
"."... | Check for valid mac adresses. | [
"Check",
"for",
"valid",
"mac",
"adresses",
"."
] | train | https://github.com/open-homeautomation/miflora/blob/916606e7edc70bdc017dfbe681bc81771e0df7f3/demo.py#L16-L20 |
open-homeautomation/miflora | demo.py | poll | def poll(args):
"""Poll data from the sensor."""
backend = _get_backend(args)
poller = MiFloraPoller(args.mac, backend)
print("Getting data from Mi Flora")
print("FW: {}".format(poller.firmware_version()))
print("Name: {}".format(poller.name()))
print("Temperature: {}".format(poller.paramete... | python | def poll(args):
"""Poll data from the sensor."""
backend = _get_backend(args)
poller = MiFloraPoller(args.mac, backend)
print("Getting data from Mi Flora")
print("FW: {}".format(poller.firmware_version()))
print("Name: {}".format(poller.name()))
print("Temperature: {}".format(poller.paramete... | [
"def",
"poll",
"(",
"args",
")",
":",
"backend",
"=",
"_get_backend",
"(",
"args",
")",
"poller",
"=",
"MiFloraPoller",
"(",
"args",
".",
"mac",
",",
"backend",
")",
"print",
"(",
"\"Getting data from Mi Flora\"",
")",
"print",
"(",
"\"FW: {}\"",
".",
"for... | Poll data from the sensor. | [
"Poll",
"data",
"from",
"the",
"sensor",
"."
] | train | https://github.com/open-homeautomation/miflora/blob/916606e7edc70bdc017dfbe681bc81771e0df7f3/demo.py#L23-L34 |
open-homeautomation/miflora | demo.py | scan | def scan(args):
"""Scan for sensors."""
backend = _get_backend(args)
print('Scanning for 10 seconds...')
devices = miflora_scanner.scan(backend, 10)
print('Found {} devices:'.format(len(devices)))
for device in devices:
print(' {}'.format(device)) | python | def scan(args):
"""Scan for sensors."""
backend = _get_backend(args)
print('Scanning for 10 seconds...')
devices = miflora_scanner.scan(backend, 10)
print('Found {} devices:'.format(len(devices)))
for device in devices:
print(' {}'.format(device)) | [
"def",
"scan",
"(",
"args",
")",
":",
"backend",
"=",
"_get_backend",
"(",
"args",
")",
"print",
"(",
"'Scanning for 10 seconds...'",
")",
"devices",
"=",
"miflora_scanner",
".",
"scan",
"(",
"backend",
",",
"10",
")",
"print",
"(",
"'Found {} devices:'",
".... | Scan for sensors. | [
"Scan",
"for",
"sensors",
"."
] | train | https://github.com/open-homeautomation/miflora/blob/916606e7edc70bdc017dfbe681bc81771e0df7f3/demo.py#L37-L44 |
open-homeautomation/miflora | demo.py | _get_backend | def _get_backend(args):
"""Extract the backend class from the command line arguments."""
if args.backend == 'gatttool':
backend = GatttoolBackend
elif args.backend == 'bluepy':
backend = BluepyBackend
elif args.backend == 'pygatt':
backend = PygattBackend
else:
raise ... | python | def _get_backend(args):
"""Extract the backend class from the command line arguments."""
if args.backend == 'gatttool':
backend = GatttoolBackend
elif args.backend == 'bluepy':
backend = BluepyBackend
elif args.backend == 'pygatt':
backend = PygattBackend
else:
raise ... | [
"def",
"_get_backend",
"(",
"args",
")",
":",
"if",
"args",
".",
"backend",
"==",
"'gatttool'",
":",
"backend",
"=",
"GatttoolBackend",
"elif",
"args",
".",
"backend",
"==",
"'bluepy'",
":",
"backend",
"=",
"BluepyBackend",
"elif",
"args",
".",
"backend",
... | Extract the backend class from the command line arguments. | [
"Extract",
"the",
"backend",
"class",
"from",
"the",
"command",
"line",
"arguments",
"."
] | train | https://github.com/open-homeautomation/miflora/blob/916606e7edc70bdc017dfbe681bc81771e0df7f3/demo.py#L47-L57 |
open-homeautomation/miflora | demo.py | list_backends | def list_backends(_):
"""List all available backends."""
backends = [b.__name__ for b in available_backends()]
print('\n'.join(backends)) | python | def list_backends(_):
"""List all available backends."""
backends = [b.__name__ for b in available_backends()]
print('\n'.join(backends)) | [
"def",
"list_backends",
"(",
"_",
")",
":",
"backends",
"=",
"[",
"b",
".",
"__name__",
"for",
"b",
"in",
"available_backends",
"(",
")",
"]",
"print",
"(",
"'\\n'",
".",
"join",
"(",
"backends",
")",
")"
] | List all available backends. | [
"List",
"all",
"available",
"backends",
"."
] | train | https://github.com/open-homeautomation/miflora/blob/916606e7edc70bdc017dfbe681bc81771e0df7f3/demo.py#L60-L63 |
open-homeautomation/miflora | demo.py | main | def main():
"""Main function.
Mostly parsing the command line arguments.
"""
parser = argparse.ArgumentParser()
parser.add_argument('--backend', choices=['gatttool', 'bluepy', 'pygatt'], default='gatttool')
parser.add_argument('-v', '--verbose', action='store_const', const=True)
subparsers ... | python | def main():
"""Main function.
Mostly parsing the command line arguments.
"""
parser = argparse.ArgumentParser()
parser.add_argument('--backend', choices=['gatttool', 'bluepy', 'pygatt'], default='gatttool')
parser.add_argument('-v', '--verbose', action='store_const', const=True)
subparsers ... | [
"def",
"main",
"(",
")",
":",
"parser",
"=",
"argparse",
".",
"ArgumentParser",
"(",
")",
"parser",
".",
"add_argument",
"(",
"'--backend'",
",",
"choices",
"=",
"[",
"'gatttool'",
",",
"'bluepy'",
",",
"'pygatt'",
"]",
",",
"default",
"=",
"'gatttool'",
... | Main function.
Mostly parsing the command line arguments. | [
"Main",
"function",
"."
] | train | https://github.com/open-homeautomation/miflora/blob/916606e7edc70bdc017dfbe681bc81771e0df7f3/demo.py#L66-L95 |
open-homeautomation/miflora | miflora/miflora_scanner.py | scan | def scan(backend, timeout=10):
"""Scan for miflora devices.
Note: this must be run as root!
"""
result = []
for (mac, name) in backend.scan_for_devices(timeout):
if (name is not None and name.lower() in VALID_DEVICE_NAMES) or \
mac is not None and mac.upper().startswith(DEVI... | python | def scan(backend, timeout=10):
"""Scan for miflora devices.
Note: this must be run as root!
"""
result = []
for (mac, name) in backend.scan_for_devices(timeout):
if (name is not None and name.lower() in VALID_DEVICE_NAMES) or \
mac is not None and mac.upper().startswith(DEVI... | [
"def",
"scan",
"(",
"backend",
",",
"timeout",
"=",
"10",
")",
":",
"result",
"=",
"[",
"]",
"for",
"(",
"mac",
",",
"name",
")",
"in",
"backend",
".",
"scan_for_devices",
"(",
"timeout",
")",
":",
"if",
"(",
"name",
"is",
"not",
"None",
"and",
"... | Scan for miflora devices.
Note: this must be run as root! | [
"Scan",
"for",
"miflora",
"devices",
"."
] | train | https://github.com/open-homeautomation/miflora/blob/916606e7edc70bdc017dfbe681bc81771e0df7f3/miflora/miflora_scanner.py#L10-L20 |
open-homeautomation/miflora | miflora/miflora_poller.py | MiFloraPoller.fill_cache | def fill_cache(self):
"""Fill the cache with new data from the sensor."""
_LOGGER.debug('Filling cache with new sensor data.')
try:
firmware_version = self.firmware_version()
except BluetoothBackendException:
# If a sensor doesn't work, wait 5 minutes before retry... | python | def fill_cache(self):
"""Fill the cache with new data from the sensor."""
_LOGGER.debug('Filling cache with new sensor data.')
try:
firmware_version = self.firmware_version()
except BluetoothBackendException:
# If a sensor doesn't work, wait 5 minutes before retry... | [
"def",
"fill_cache",
"(",
"self",
")",
":",
"_LOGGER",
".",
"debug",
"(",
"'Filling cache with new sensor data.'",
")",
"try",
":",
"firmware_version",
"=",
"self",
".",
"firmware_version",
"(",
")",
"except",
"BluetoothBackendException",
":",
"# If a sensor doesn't w... | Fill the cache with new data from the sensor. | [
"Fill",
"the",
"cache",
"with",
"new",
"data",
"from",
"the",
"sensor",
"."
] | train | https://github.com/open-homeautomation/miflora/blob/916606e7edc70bdc017dfbe681bc81771e0df7f3/miflora/miflora_poller.py#L57-L87 |
open-homeautomation/miflora | miflora/miflora_poller.py | MiFloraPoller.firmware_version | def firmware_version(self):
"""Return the firmware version."""
if (self._firmware_version is None) or \
(datetime.now() - timedelta(hours=24) > self._fw_last_read):
self._fw_last_read = datetime.now()
with self._bt_interface.connect(self._mac) as connection:
... | python | def firmware_version(self):
"""Return the firmware version."""
if (self._firmware_version is None) or \
(datetime.now() - timedelta(hours=24) > self._fw_last_read):
self._fw_last_read = datetime.now()
with self._bt_interface.connect(self._mac) as connection:
... | [
"def",
"firmware_version",
"(",
"self",
")",
":",
"if",
"(",
"self",
".",
"_firmware_version",
"is",
"None",
")",
"or",
"(",
"datetime",
".",
"now",
"(",
")",
"-",
"timedelta",
"(",
"hours",
"=",
"24",
")",
">",
"self",
".",
"_fw_last_read",
")",
":"... | Return the firmware version. | [
"Return",
"the",
"firmware",
"version",
"."
] | train | https://github.com/open-homeautomation/miflora/blob/916606e7edc70bdc017dfbe681bc81771e0df7f3/miflora/miflora_poller.py#L98-L113 |
open-homeautomation/miflora | miflora/miflora_poller.py | MiFloraPoller.parameter_value | def parameter_value(self, parameter, read_cached=True):
"""Return a value of one of the monitored paramaters.
This method will try to retrieve the data from cache and only
request it by bluetooth if no cached value is stored or the cache is
expired.
This behaviour can be overwri... | python | def parameter_value(self, parameter, read_cached=True):
"""Return a value of one of the monitored paramaters.
This method will try to retrieve the data from cache and only
request it by bluetooth if no cached value is stored or the cache is
expired.
This behaviour can be overwri... | [
"def",
"parameter_value",
"(",
"self",
",",
"parameter",
",",
"read_cached",
"=",
"True",
")",
":",
"# Special handling for battery attribute",
"if",
"parameter",
"==",
"MI_BATTERY",
":",
"return",
"self",
".",
"battery_level",
"(",
")",
"# Use the lock to make sure t... | Return a value of one of the monitored paramaters.
This method will try to retrieve the data from cache and only
request it by bluetooth if no cached value is stored or the cache is
expired.
This behaviour can be overwritten by the "read_cached" parameter. | [
"Return",
"a",
"value",
"of",
"one",
"of",
"the",
"monitored",
"paramaters",
"."
] | train | https://github.com/open-homeautomation/miflora/blob/916606e7edc70bdc017dfbe681bc81771e0df7f3/miflora/miflora_poller.py#L115-L141 |
open-homeautomation/miflora | miflora/miflora_poller.py | MiFloraPoller._check_data | def _check_data(self):
"""Ensure that the data in the cache is valid.
If it's invalid, the cache is wiped.
"""
if not self.cache_available():
return
if self._cache[7] > 100: # moisture over 100 procent
self.clear_cache()
return
if sel... | python | def _check_data(self):
"""Ensure that the data in the cache is valid.
If it's invalid, the cache is wiped.
"""
if not self.cache_available():
return
if self._cache[7] > 100: # moisture over 100 procent
self.clear_cache()
return
if sel... | [
"def",
"_check_data",
"(",
"self",
")",
":",
"if",
"not",
"self",
".",
"cache_available",
"(",
")",
":",
"return",
"if",
"self",
".",
"_cache",
"[",
"7",
"]",
">",
"100",
":",
"# moisture over 100 procent",
"self",
".",
"clear_cache",
"(",
")",
"return",... | Ensure that the data in the cache is valid.
If it's invalid, the cache is wiped. | [
"Ensure",
"that",
"the",
"data",
"in",
"the",
"cache",
"is",
"valid",
"."
] | train | https://github.com/open-homeautomation/miflora/blob/916606e7edc70bdc017dfbe681bc81771e0df7f3/miflora/miflora_poller.py#L143-L159 |
open-homeautomation/miflora | miflora/miflora_poller.py | MiFloraPoller._parse_data | def _parse_data(self):
"""Parses the byte array returned by the sensor.
The sensor returns 16 bytes in total. It's unclear what the meaning of these bytes
is beyond what is decoded in this method.
semantics of the data (in little endian encoding):
bytes 0-1: temperature in 0.... | python | def _parse_data(self):
"""Parses the byte array returned by the sensor.
The sensor returns 16 bytes in total. It's unclear what the meaning of these bytes
is beyond what is decoded in this method.
semantics of the data (in little endian encoding):
bytes 0-1: temperature in 0.... | [
"def",
"_parse_data",
"(",
"self",
")",
":",
"data",
"=",
"self",
".",
"_cache",
"res",
"=",
"dict",
"(",
")",
"temp",
",",
"res",
"[",
"MI_LIGHT",
"]",
",",
"res",
"[",
"MI_MOISTURE",
"]",
",",
"res",
"[",
"MI_CONDUCTIVITY",
"]",
"=",
"unpack",
"(... | Parses the byte array returned by the sensor.
The sensor returns 16 bytes in total. It's unclear what the meaning of these bytes
is beyond what is decoded in this method.
semantics of the data (in little endian encoding):
bytes 0-1: temperature in 0.1 °C
byte 2: unknown
... | [
"Parses",
"the",
"byte",
"array",
"returned",
"by",
"the",
"sensor",
"."
] | train | https://github.com/open-homeautomation/miflora/blob/916606e7edc70bdc017dfbe681bc81771e0df7f3/miflora/miflora_poller.py#L170-L189 |
halcy/Mastodon.py | mastodon/Mastodon.py | parse_version_string | def parse_version_string(version_string):
"""Parses a semver version string, stripping off "rc" stuff if present."""
string_parts = version_string.split(".")
version_parts = [
int(re.match("([0-9]*)", string_parts[0]).group(0)),
int(re.match("([0-9]*)", string_parts[1]).group(0)),
i... | python | def parse_version_string(version_string):
"""Parses a semver version string, stripping off "rc" stuff if present."""
string_parts = version_string.split(".")
version_parts = [
int(re.match("([0-9]*)", string_parts[0]).group(0)),
int(re.match("([0-9]*)", string_parts[1]).group(0)),
i... | [
"def",
"parse_version_string",
"(",
"version_string",
")",
":",
"string_parts",
"=",
"version_string",
".",
"split",
"(",
"\".\"",
")",
"version_parts",
"=",
"[",
"int",
"(",
"re",
".",
"match",
"(",
"\"([0-9]*)\"",
",",
"string_parts",
"[",
"0",
"]",
")",
... | Parses a semver version string, stripping off "rc" stuff if present. | [
"Parses",
"a",
"semver",
"version",
"string",
"stripping",
"off",
"rc",
"stuff",
"if",
"present",
"."
] | train | https://github.com/halcy/Mastodon.py/blob/35c43562dd3d34d6ebf7a0f757c09e8fcccc957c/mastodon/Mastodon.py#L42-L50 |
halcy/Mastodon.py | mastodon/Mastodon.py | bigger_version | def bigger_version(version_string_a, version_string_b):
"""Returns the bigger version of two version strings."""
major_a, minor_a, patch_a = parse_version_string(version_string_a)
major_b, minor_b, patch_b = parse_version_string(version_string_b)
if major_a > major_b:
return version_string_a
... | python | def bigger_version(version_string_a, version_string_b):
"""Returns the bigger version of two version strings."""
major_a, minor_a, patch_a = parse_version_string(version_string_a)
major_b, minor_b, patch_b = parse_version_string(version_string_b)
if major_a > major_b:
return version_string_a
... | [
"def",
"bigger_version",
"(",
"version_string_a",
",",
"version_string_b",
")",
":",
"major_a",
",",
"minor_a",
",",
"patch_a",
"=",
"parse_version_string",
"(",
"version_string_a",
")",
"major_b",
",",
"minor_b",
",",
"patch_b",
"=",
"parse_version_string",
"(",
... | Returns the bigger version of two version strings. | [
"Returns",
"the",
"bigger",
"version",
"of",
"two",
"version",
"strings",
"."
] | train | https://github.com/halcy/Mastodon.py/blob/35c43562dd3d34d6ebf7a0f757c09e8fcccc957c/mastodon/Mastodon.py#L52-L63 |
halcy/Mastodon.py | mastodon/Mastodon.py | api_version | def api_version(created_ver, last_changed_ver, return_value_ver):
"""Version check decorator. Currently only checks Bigger Than."""
def api_min_version_decorator(function):
def wrapper(function, self, *args, **kwargs):
if not self.version_check_mode == "none":
if self.v... | python | def api_version(created_ver, last_changed_ver, return_value_ver):
"""Version check decorator. Currently only checks Bigger Than."""
def api_min_version_decorator(function):
def wrapper(function, self, *args, **kwargs):
if not self.version_check_mode == "none":
if self.v... | [
"def",
"api_version",
"(",
"created_ver",
",",
"last_changed_ver",
",",
"return_value_ver",
")",
":",
"def",
"api_min_version_decorator",
"(",
"function",
")",
":",
"def",
"wrapper",
"(",
"function",
",",
"self",
",",
"*",
"args",
",",
"*",
"*",
"kwargs",
")... | Version check decorator. Currently only checks Bigger Than. | [
"Version",
"check",
"decorator",
".",
"Currently",
"only",
"checks",
"Bigger",
"Than",
"."
] | train | https://github.com/halcy/Mastodon.py/blob/35c43562dd3d34d6ebf7a0f757c09e8fcccc957c/mastodon/Mastodon.py#L65-L85 |
halcy/Mastodon.py | mastodon/Mastodon.py | Mastodon.create_app | def create_app(client_name, scopes=__DEFAULT_SCOPES, redirect_uris=None, website=None, to_file=None,
api_base_url=__DEFAULT_BASE_URL, request_timeout=__DEFAULT_TIMEOUT, session=None):
"""
Create a new app with given `client_name` and `scopes` (The basic scropse are "read", "write", "f... | python | def create_app(client_name, scopes=__DEFAULT_SCOPES, redirect_uris=None, website=None, to_file=None,
api_base_url=__DEFAULT_BASE_URL, request_timeout=__DEFAULT_TIMEOUT, session=None):
"""
Create a new app with given `client_name` and `scopes` (The basic scropse are "read", "write", "f... | [
"def",
"create_app",
"(",
"client_name",
",",
"scopes",
"=",
"__DEFAULT_SCOPES",
",",
"redirect_uris",
"=",
"None",
",",
"website",
"=",
"None",
",",
"to_file",
"=",
"None",
",",
"api_base_url",
"=",
"__DEFAULT_BASE_URL",
",",
"request_timeout",
"=",
"__DEFAULT_... | Create a new app with given `client_name` and `scopes` (The basic scropse are "read", "write", "follow" and "push"
- more granular scopes are available, please refere to Mastodon documentation for which).
Specify `redirect_uris` if you want users to be redirected to a certain page after authenticating... | [
"Create",
"a",
"new",
"app",
"with",
"given",
"client_name",
"and",
"scopes",
"(",
"The",
"basic",
"scropse",
"are",
"read",
"write",
"follow",
"and",
"push",
"-",
"more",
"granular",
"scopes",
"are",
"available",
"please",
"refere",
"to",
"Mastodon",
"docum... | train | https://github.com/halcy/Mastodon.py/blob/35c43562dd3d34d6ebf7a0f757c09e8fcccc957c/mastodon/Mastodon.py#L190-L242 |
halcy/Mastodon.py | mastodon/Mastodon.py | Mastodon.retrieve_mastodon_version | def retrieve_mastodon_version(self):
"""
Determine installed mastodon version and set major, minor and patch (not including RC info) accordingly.
Returns the version string, possibly including rc info.
"""
try:
version_str = self.__instance()["version"]
... | python | def retrieve_mastodon_version(self):
"""
Determine installed mastodon version and set major, minor and patch (not including RC info) accordingly.
Returns the version string, possibly including rc info.
"""
try:
version_str = self.__instance()["version"]
... | [
"def",
"retrieve_mastodon_version",
"(",
"self",
")",
":",
"try",
":",
"version_str",
"=",
"self",
".",
"__instance",
"(",
")",
"[",
"\"version\"",
"]",
"except",
":",
"# instance() was added in 1.1.0, so our best guess is 1.0.0.",
"version_str",
"=",
"\"1.0.0\"",
"se... | Determine installed mastodon version and set major, minor and patch (not including RC info) accordingly.
Returns the version string, possibly including rc info. | [
"Determine",
"installed",
"mastodon",
"version",
"and",
"set",
"major",
"minor",
"and",
"patch",
"(",
"not",
"including",
"RC",
"info",
")",
"accordingly",
".",
"Returns",
"the",
"version",
"string",
"possibly",
"including",
"rc",
"info",
"."
] | train | https://github.com/halcy/Mastodon.py/blob/35c43562dd3d34d6ebf7a0f757c09e8fcccc957c/mastodon/Mastodon.py#L344-L357 |
halcy/Mastodon.py | mastodon/Mastodon.py | Mastodon.verify_minimum_version | def verify_minimum_version(self, version_str):
"""
Update version info from server and verify that at least the specified version is present.
Returns True if version requirement is satisfied, False if not.
"""
self.retrieve_mastodon_version()
major, minor, patch ... | python | def verify_minimum_version(self, version_str):
"""
Update version info from server and verify that at least the specified version is present.
Returns True if version requirement is satisfied, False if not.
"""
self.retrieve_mastodon_version()
major, minor, patch ... | [
"def",
"verify_minimum_version",
"(",
"self",
",",
"version_str",
")",
":",
"self",
".",
"retrieve_mastodon_version",
"(",
")",
"major",
",",
"minor",
",",
"patch",
"=",
"parse_version_string",
"(",
"version_str",
")",
"if",
"major",
">",
"self",
".",
"mastodo... | Update version info from server and verify that at least the specified version is present.
Returns True if version requirement is satisfied, False if not. | [
"Update",
"version",
"info",
"from",
"server",
"and",
"verify",
"that",
"at",
"least",
"the",
"specified",
"version",
"is",
"present",
".",
"Returns",
"True",
"if",
"version",
"requirement",
"is",
"satisfied",
"False",
"if",
"not",
"."
] | train | https://github.com/halcy/Mastodon.py/blob/35c43562dd3d34d6ebf7a0f757c09e8fcccc957c/mastodon/Mastodon.py#L359-L373 |
halcy/Mastodon.py | mastodon/Mastodon.py | Mastodon.auth_request_url | def auth_request_url(self, client_id=None, redirect_uris="urn:ietf:wg:oauth:2.0:oob",
scopes=__DEFAULT_SCOPES, force_login=False):
"""
Returns the url that a client needs to request an oauth grant from the server.
To log in with oauth, send your user to this URL... | python | def auth_request_url(self, client_id=None, redirect_uris="urn:ietf:wg:oauth:2.0:oob",
scopes=__DEFAULT_SCOPES, force_login=False):
"""
Returns the url that a client needs to request an oauth grant from the server.
To log in with oauth, send your user to this URL... | [
"def",
"auth_request_url",
"(",
"self",
",",
"client_id",
"=",
"None",
",",
"redirect_uris",
"=",
"\"urn:ietf:wg:oauth:2.0:oob\"",
",",
"scopes",
"=",
"__DEFAULT_SCOPES",
",",
"force_login",
"=",
"False",
")",
":",
"if",
"client_id",
"is",
"None",
":",
"client_i... | Returns the url that a client needs to request an oauth grant from the server.
To log in with oauth, send your user to this URL. The user will then log in and
get a code which you can pass to log_in.
scopes are as in `log_in()`_, redirect_uris is where the user should be redire... | [
"Returns",
"the",
"url",
"that",
"a",
"client",
"needs",
"to",
"request",
"an",
"oauth",
"grant",
"from",
"the",
"server",
".",
"To",
"log",
"in",
"with",
"oauth",
"send",
"your",
"user",
"to",
"this",
"URL",
".",
"The",
"user",
"will",
"then",
"log",
... | train | https://github.com/halcy/Mastodon.py/blob/35c43562dd3d34d6ebf7a0f757c09e8fcccc957c/mastodon/Mastodon.py#L382-L412 |
halcy/Mastodon.py | mastodon/Mastodon.py | Mastodon.log_in | def log_in(self, username=None, password=None,
code=None, redirect_uri="urn:ietf:wg:oauth:2.0:oob", refresh_token=None,
scopes=__DEFAULT_SCOPES, to_file=None):
"""
Get the access token for a user.
The username is the e-mail used to log in into mastodon.
... | python | def log_in(self, username=None, password=None,
code=None, redirect_uri="urn:ietf:wg:oauth:2.0:oob", refresh_token=None,
scopes=__DEFAULT_SCOPES, to_file=None):
"""
Get the access token for a user.
The username is the e-mail used to log in into mastodon.
... | [
"def",
"log_in",
"(",
"self",
",",
"username",
"=",
"None",
",",
"password",
"=",
"None",
",",
"code",
"=",
"None",
",",
"redirect_uri",
"=",
"\"urn:ietf:wg:oauth:2.0:oob\"",
",",
"refresh_token",
"=",
"None",
",",
"scopes",
"=",
"__DEFAULT_SCOPES",
",",
"to... | Get the access token for a user.
The username is the e-mail used to log in into mastodon.
Can persist access token to file `to_file`, to be used in the constructor.
Handles password and OAuth-based authorization.
Will throw a `MastodonIllegalArgumentError` if the OAut... | [
"Get",
"the",
"access",
"token",
"for",
"a",
"user",
".",
"The",
"username",
"is",
"the",
"e",
"-",
"mail",
"used",
"to",
"log",
"in",
"into",
"mastodon",
"."
] | train | https://github.com/halcy/Mastodon.py/blob/35c43562dd3d34d6ebf7a0f757c09e8fcccc957c/mastodon/Mastodon.py#L414-L481 |
halcy/Mastodon.py | mastodon/Mastodon.py | Mastodon.create_account | def create_account(self, username, password, email, agreement=False, locale="en", scopes=__DEFAULT_SCOPES, to_file=None):
"""
Creates a new user account with the given username, password and email. "agreement"
must be set to true (after showing the user the instances user agreement and having
... | python | def create_account(self, username, password, email, agreement=False, locale="en", scopes=__DEFAULT_SCOPES, to_file=None):
"""
Creates a new user account with the given username, password and email. "agreement"
must be set to true (after showing the user the instances user agreement and having
... | [
"def",
"create_account",
"(",
"self",
",",
"username",
",",
"password",
",",
"email",
",",
"agreement",
"=",
"False",
",",
"locale",
"=",
"\"en\"",
",",
"scopes",
"=",
"__DEFAULT_SCOPES",
",",
"to_file",
"=",
"None",
")",
":",
"params",
"=",
"self",
".",... | Creates a new user account with the given username, password and email. "agreement"
must be set to true (after showing the user the instances user agreement and having
them agree to it), "locale" specifies the language for the confirmation e-mail as an
ISO 639-1 (two-letter) language code.
... | [
"Creates",
"a",
"new",
"user",
"account",
"with",
"the",
"given",
"username",
"password",
"and",
"email",
".",
"agreement",
"must",
"be",
"set",
"to",
"true",
"(",
"after",
"showing",
"the",
"user",
"the",
"instances",
"user",
"agreement",
"and",
"having",
... | train | https://github.com/halcy/Mastodon.py/blob/35c43562dd3d34d6ebf7a0f757c09e8fcccc957c/mastodon/Mastodon.py#L484-L545 |
halcy/Mastodon.py | mastodon/Mastodon.py | Mastodon.timeline | def timeline(self, timeline="home", max_id=None, min_id=None, since_id=None, limit=None):
"""
Fetch statuses, most recent ones first. `timeline` can be 'home', 'local', 'public',
'tag/hashtag' or 'list/id'. See the following functions documentation for what those do.
Local hashtag timeli... | python | def timeline(self, timeline="home", max_id=None, min_id=None, since_id=None, limit=None):
"""
Fetch statuses, most recent ones first. `timeline` can be 'home', 'local', 'public',
'tag/hashtag' or 'list/id'. See the following functions documentation for what those do.
Local hashtag timeli... | [
"def",
"timeline",
"(",
"self",
",",
"timeline",
"=",
"\"home\"",
",",
"max_id",
"=",
"None",
",",
"min_id",
"=",
"None",
",",
"since_id",
"=",
"None",
",",
"limit",
"=",
"None",
")",
":",
"if",
"max_id",
"!=",
"None",
":",
"max_id",
"=",
"self",
"... | Fetch statuses, most recent ones first. `timeline` can be 'home', 'local', 'public',
'tag/hashtag' or 'list/id'. See the following functions documentation for what those do.
Local hashtag timelines are supported via the `timeline_hashtag()`_ function.
The default timeline is the "home" ... | [
"Fetch",
"statuses",
"most",
"recent",
"ones",
"first",
".",
"timeline",
"can",
"be",
"home",
"local",
"public",
"tag",
"/",
"hashtag",
"or",
"list",
"/",
"id",
".",
"See",
"the",
"following",
"functions",
"documentation",
"for",
"what",
"those",
"do",
"."... | train | https://github.com/halcy/Mastodon.py/blob/35c43562dd3d34d6ebf7a0f757c09e8fcccc957c/mastodon/Mastodon.py#L593-L622 |
halcy/Mastodon.py | mastodon/Mastodon.py | Mastodon.timeline_home | def timeline_home(self, max_id=None, min_id=None, since_id=None, limit=None):
"""
Fetch the logged-in users home timeline (i.e. followed users and self).
Returns a list of `toot dicts`_.
"""
return self.timeline('home', max_id=max_id, min_id=min_id,
... | python | def timeline_home(self, max_id=None, min_id=None, since_id=None, limit=None):
"""
Fetch the logged-in users home timeline (i.e. followed users and self).
Returns a list of `toot dicts`_.
"""
return self.timeline('home', max_id=max_id, min_id=min_id,
... | [
"def",
"timeline_home",
"(",
"self",
",",
"max_id",
"=",
"None",
",",
"min_id",
"=",
"None",
",",
"since_id",
"=",
"None",
",",
"limit",
"=",
"None",
")",
":",
"return",
"self",
".",
"timeline",
"(",
"'home'",
",",
"max_id",
"=",
"max_id",
",",
"min_... | Fetch the logged-in users home timeline (i.e. followed users and self).
Returns a list of `toot dicts`_. | [
"Fetch",
"the",
"logged",
"-",
"in",
"users",
"home",
"timeline",
"(",
"i",
".",
"e",
".",
"followed",
"users",
"and",
"self",
")",
"."
] | train | https://github.com/halcy/Mastodon.py/blob/35c43562dd3d34d6ebf7a0f757c09e8fcccc957c/mastodon/Mastodon.py#L625-L632 |
halcy/Mastodon.py | mastodon/Mastodon.py | Mastodon.timeline_local | def timeline_local(self, max_id=None, min_id=None, since_id=None, limit=None):
"""
Fetches the local / instance-wide timeline, not including replies.
Returns a list of `toot dicts`_.
"""
return self.timeline('local', max_id=max_id, min_id=min_id,
sin... | python | def timeline_local(self, max_id=None, min_id=None, since_id=None, limit=None):
"""
Fetches the local / instance-wide timeline, not including replies.
Returns a list of `toot dicts`_.
"""
return self.timeline('local', max_id=max_id, min_id=min_id,
sin... | [
"def",
"timeline_local",
"(",
"self",
",",
"max_id",
"=",
"None",
",",
"min_id",
"=",
"None",
",",
"since_id",
"=",
"None",
",",
"limit",
"=",
"None",
")",
":",
"return",
"self",
".",
"timeline",
"(",
"'local'",
",",
"max_id",
"=",
"max_id",
",",
"mi... | Fetches the local / instance-wide timeline, not including replies.
Returns a list of `toot dicts`_. | [
"Fetches",
"the",
"local",
"/",
"instance",
"-",
"wide",
"timeline",
"not",
"including",
"replies",
"."
] | train | https://github.com/halcy/Mastodon.py/blob/35c43562dd3d34d6ebf7a0f757c09e8fcccc957c/mastodon/Mastodon.py#L635-L642 |
halcy/Mastodon.py | mastodon/Mastodon.py | Mastodon.timeline_public | def timeline_public(self, max_id=None, min_id=None, since_id=None, limit=None, only_media=False):
"""
Fetches the public / visible-network timeline, not including replies.
Set `only_media` to True to retrieve only statuses with media attachments.
Returns a list of `toot dicts`_.
... | python | def timeline_public(self, max_id=None, min_id=None, since_id=None, limit=None, only_media=False):
"""
Fetches the public / visible-network timeline, not including replies.
Set `only_media` to True to retrieve only statuses with media attachments.
Returns a list of `toot dicts`_.
... | [
"def",
"timeline_public",
"(",
"self",
",",
"max_id",
"=",
"None",
",",
"min_id",
"=",
"None",
",",
"since_id",
"=",
"None",
",",
"limit",
"=",
"None",
",",
"only_media",
"=",
"False",
")",
":",
"if",
"max_id",
"!=",
"None",
":",
"max_id",
"=",
"self... | Fetches the public / visible-network timeline, not including replies.
Set `only_media` to True to retrieve only statuses with media attachments.
Returns a list of `toot dicts`_. | [
"Fetches",
"the",
"public",
"/",
"visible",
"-",
"network",
"timeline",
"not",
"including",
"replies",
"."
] | train | https://github.com/halcy/Mastodon.py/blob/35c43562dd3d34d6ebf7a0f757c09e8fcccc957c/mastodon/Mastodon.py#L645-L670 |
halcy/Mastodon.py | mastodon/Mastodon.py | Mastodon.timeline_hashtag | def timeline_hashtag(self, hashtag, local=False, max_id=None, min_id=None, since_id=None, limit=None, only_media=False):
"""
Fetch a timeline of toots with a given hashtag. The hashtag parameter
should not contain the leading #.
Set `local` to True to retrieve only instance-local tagged... | python | def timeline_hashtag(self, hashtag, local=False, max_id=None, min_id=None, since_id=None, limit=None, only_media=False):
"""
Fetch a timeline of toots with a given hashtag. The hashtag parameter
should not contain the leading #.
Set `local` to True to retrieve only instance-local tagged... | [
"def",
"timeline_hashtag",
"(",
"self",
",",
"hashtag",
",",
"local",
"=",
"False",
",",
"max_id",
"=",
"None",
",",
"min_id",
"=",
"None",
",",
"since_id",
"=",
"None",
",",
"limit",
"=",
"None",
",",
"only_media",
"=",
"False",
")",
":",
"if",
"has... | Fetch a timeline of toots with a given hashtag. The hashtag parameter
should not contain the leading #.
Set `local` to True to retrieve only instance-local tagged posts.
Set `only_media` to True to retrieve only statuses with media attachments.
Returns a list of `toot dicts`_. | [
"Fetch",
"a",
"timeline",
"of",
"toots",
"with",
"a",
"given",
"hashtag",
".",
"The",
"hashtag",
"parameter",
"should",
"not",
"contain",
"the",
"leading",
"#",
"."
] | train | https://github.com/halcy/Mastodon.py/blob/35c43562dd3d34d6ebf7a0f757c09e8fcccc957c/mastodon/Mastodon.py#L673-L706 |
halcy/Mastodon.py | mastodon/Mastodon.py | Mastodon.timeline_list | def timeline_list(self, id, max_id=None, min_id=None, since_id=None, limit=None):
"""
Fetches a timeline containing all the toots by users in a given list.
Returns a list of `toot dicts`_.
"""
id = self.__unpack_id(id)
return self.timeline('list/{0}'.format(id), max_id=m... | python | def timeline_list(self, id, max_id=None, min_id=None, since_id=None, limit=None):
"""
Fetches a timeline containing all the toots by users in a given list.
Returns a list of `toot dicts`_.
"""
id = self.__unpack_id(id)
return self.timeline('list/{0}'.format(id), max_id=m... | [
"def",
"timeline_list",
"(",
"self",
",",
"id",
",",
"max_id",
"=",
"None",
",",
"min_id",
"=",
"None",
",",
"since_id",
"=",
"None",
",",
"limit",
"=",
"None",
")",
":",
"id",
"=",
"self",
".",
"__unpack_id",
"(",
"id",
")",
"return",
"self",
".",... | Fetches a timeline containing all the toots by users in a given list.
Returns a list of `toot dicts`_. | [
"Fetches",
"a",
"timeline",
"containing",
"all",
"the",
"toots",
"by",
"users",
"in",
"a",
"given",
"list",
"."
] | train | https://github.com/halcy/Mastodon.py/blob/35c43562dd3d34d6ebf7a0f757c09e8fcccc957c/mastodon/Mastodon.py#L709-L717 |
halcy/Mastodon.py | mastodon/Mastodon.py | Mastodon.conversations | def conversations(self, max_id=None, min_id=None, since_id=None, limit=None):
"""
Fetches a users conversations.
Returns a list of `conversation dicts`_.
"""
if max_id != None:
max_id = self.__unpack_id(max_id)
if min_id != None:
... | python | def conversations(self, max_id=None, min_id=None, since_id=None, limit=None):
"""
Fetches a users conversations.
Returns a list of `conversation dicts`_.
"""
if max_id != None:
max_id = self.__unpack_id(max_id)
if min_id != None:
... | [
"def",
"conversations",
"(",
"self",
",",
"max_id",
"=",
"None",
",",
"min_id",
"=",
"None",
",",
"since_id",
"=",
"None",
",",
"limit",
"=",
"None",
")",
":",
"if",
"max_id",
"!=",
"None",
":",
"max_id",
"=",
"self",
".",
"__unpack_id",
"(",
"max_id... | Fetches a users conversations.
Returns a list of `conversation dicts`_. | [
"Fetches",
"a",
"users",
"conversations",
".",
"Returns",
"a",
"list",
"of",
"conversation",
"dicts",
"_",
"."
] | train | https://github.com/halcy/Mastodon.py/blob/35c43562dd3d34d6ebf7a0f757c09e8fcccc957c/mastodon/Mastodon.py#L720-L736 |
halcy/Mastodon.py | mastodon/Mastodon.py | Mastodon.status | def status(self, id):
"""
Fetch information about a single toot.
Does not require authentication for publicly visible statuses.
Returns a `toot dict`_.
"""
id = self.__unpack_id(id)
url = '/api/v1/statuses/{0}'.format(str(id))
return self.__api_request('... | python | def status(self, id):
"""
Fetch information about a single toot.
Does not require authentication for publicly visible statuses.
Returns a `toot dict`_.
"""
id = self.__unpack_id(id)
url = '/api/v1/statuses/{0}'.format(str(id))
return self.__api_request('... | [
"def",
"status",
"(",
"self",
",",
"id",
")",
":",
"id",
"=",
"self",
".",
"__unpack_id",
"(",
"id",
")",
"url",
"=",
"'/api/v1/statuses/{0}'",
".",
"format",
"(",
"str",
"(",
"id",
")",
")",
"return",
"self",
".",
"__api_request",
"(",
"'GET'",
",",... | Fetch information about a single toot.
Does not require authentication for publicly visible statuses.
Returns a `toot dict`_. | [
"Fetch",
"information",
"about",
"a",
"single",
"toot",
"."
] | train | https://github.com/halcy/Mastodon.py/blob/35c43562dd3d34d6ebf7a0f757c09e8fcccc957c/mastodon/Mastodon.py#L742-L752 |
halcy/Mastodon.py | mastodon/Mastodon.py | Mastodon.status_card | def status_card(self, id):
"""
Fetch a card associated with a status. A card describes an object (such as an
external video or link) embedded into a status.
Does not require authentication for publicly visible statuses.
Returns a `card dict`_.
"""
id = self.__un... | python | def status_card(self, id):
"""
Fetch a card associated with a status. A card describes an object (such as an
external video or link) embedded into a status.
Does not require authentication for publicly visible statuses.
Returns a `card dict`_.
"""
id = self.__un... | [
"def",
"status_card",
"(",
"self",
",",
"id",
")",
":",
"id",
"=",
"self",
".",
"__unpack_id",
"(",
"id",
")",
"url",
"=",
"'/api/v1/statuses/{0}/card'",
".",
"format",
"(",
"str",
"(",
"id",
")",
")",
"return",
"self",
".",
"__api_request",
"(",
"'GET... | Fetch a card associated with a status. A card describes an object (such as an
external video or link) embedded into a status.
Does not require authentication for publicly visible statuses.
Returns a `card dict`_. | [
"Fetch",
"a",
"card",
"associated",
"with",
"a",
"status",
".",
"A",
"card",
"describes",
"an",
"object",
"(",
"such",
"as",
"an",
"external",
"video",
"or",
"link",
")",
"embedded",
"into",
"a",
"status",
"."
] | train | https://github.com/halcy/Mastodon.py/blob/35c43562dd3d34d6ebf7a0f757c09e8fcccc957c/mastodon/Mastodon.py#L755-L766 |
halcy/Mastodon.py | mastodon/Mastodon.py | Mastodon.status_context | def status_context(self, id):
"""
Fetch information about ancestors and descendants of a toot.
Does not require authentication for publicly visible statuses.
Returns a `context dict`_.
"""
id = self.__unpack_id(id)
url = '/api/v1/statuses/{0}/context'.format(str... | python | def status_context(self, id):
"""
Fetch information about ancestors and descendants of a toot.
Does not require authentication for publicly visible statuses.
Returns a `context dict`_.
"""
id = self.__unpack_id(id)
url = '/api/v1/statuses/{0}/context'.format(str... | [
"def",
"status_context",
"(",
"self",
",",
"id",
")",
":",
"id",
"=",
"self",
".",
"__unpack_id",
"(",
"id",
")",
"url",
"=",
"'/api/v1/statuses/{0}/context'",
".",
"format",
"(",
"str",
"(",
"id",
")",
")",
"return",
"self",
".",
"__api_request",
"(",
... | Fetch information about ancestors and descendants of a toot.
Does not require authentication for publicly visible statuses.
Returns a `context dict`_. | [
"Fetch",
"information",
"about",
"ancestors",
"and",
"descendants",
"of",
"a",
"toot",
"."
] | train | https://github.com/halcy/Mastodon.py/blob/35c43562dd3d34d6ebf7a0f757c09e8fcccc957c/mastodon/Mastodon.py#L769-L779 |
halcy/Mastodon.py | mastodon/Mastodon.py | Mastodon.status_reblogged_by | def status_reblogged_by(self, id):
"""
Fetch a list of users that have reblogged a status.
Does not require authentication for publicly visible statuses.
Returns a list of `user dicts`_.
"""
id = self.__unpack_id(id)
url = '/api/v1/statuses/{0}/reblogged_by'.for... | python | def status_reblogged_by(self, id):
"""
Fetch a list of users that have reblogged a status.
Does not require authentication for publicly visible statuses.
Returns a list of `user dicts`_.
"""
id = self.__unpack_id(id)
url = '/api/v1/statuses/{0}/reblogged_by'.for... | [
"def",
"status_reblogged_by",
"(",
"self",
",",
"id",
")",
":",
"id",
"=",
"self",
".",
"__unpack_id",
"(",
"id",
")",
"url",
"=",
"'/api/v1/statuses/{0}/reblogged_by'",
".",
"format",
"(",
"str",
"(",
"id",
")",
")",
"return",
"self",
".",
"__api_request"... | Fetch a list of users that have reblogged a status.
Does not require authentication for publicly visible statuses.
Returns a list of `user dicts`_. | [
"Fetch",
"a",
"list",
"of",
"users",
"that",
"have",
"reblogged",
"a",
"status",
"."
] | train | https://github.com/halcy/Mastodon.py/blob/35c43562dd3d34d6ebf7a0f757c09e8fcccc957c/mastodon/Mastodon.py#L782-L792 |
halcy/Mastodon.py | mastodon/Mastodon.py | Mastodon.status_favourited_by | def status_favourited_by(self, id):
"""
Fetch a list of users that have favourited a status.
Does not require authentication for publicly visible statuses.
Returns a list of `user dicts`_.
"""
id = self.__unpack_id(id)
url = '/api/v1/statuses/{0}/favourited_by'.... | python | def status_favourited_by(self, id):
"""
Fetch a list of users that have favourited a status.
Does not require authentication for publicly visible statuses.
Returns a list of `user dicts`_.
"""
id = self.__unpack_id(id)
url = '/api/v1/statuses/{0}/favourited_by'.... | [
"def",
"status_favourited_by",
"(",
"self",
",",
"id",
")",
":",
"id",
"=",
"self",
".",
"__unpack_id",
"(",
"id",
")",
"url",
"=",
"'/api/v1/statuses/{0}/favourited_by'",
".",
"format",
"(",
"str",
"(",
"id",
")",
")",
"return",
"self",
".",
"__api_reques... | Fetch a list of users that have favourited a status.
Does not require authentication for publicly visible statuses.
Returns a list of `user dicts`_. | [
"Fetch",
"a",
"list",
"of",
"users",
"that",
"have",
"favourited",
"a",
"status",
"."
] | train | https://github.com/halcy/Mastodon.py/blob/35c43562dd3d34d6ebf7a0f757c09e8fcccc957c/mastodon/Mastodon.py#L795-L805 |
halcy/Mastodon.py | mastodon/Mastodon.py | Mastodon.scheduled_status | def scheduled_status(self, id):
"""
Fetch information about the scheduled status with the given id.
Returns a `scheduled toot dict`_.
"""
id = self.__unpack_id(id)
url = '/api/v1/scheduled_statuses/{0}'.format(str(id))
return self.__api_request('GET', url) | python | def scheduled_status(self, id):
"""
Fetch information about the scheduled status with the given id.
Returns a `scheduled toot dict`_.
"""
id = self.__unpack_id(id)
url = '/api/v1/scheduled_statuses/{0}'.format(str(id))
return self.__api_request('GET', url) | [
"def",
"scheduled_status",
"(",
"self",
",",
"id",
")",
":",
"id",
"=",
"self",
".",
"__unpack_id",
"(",
"id",
")",
"url",
"=",
"'/api/v1/scheduled_statuses/{0}'",
".",
"format",
"(",
"str",
"(",
"id",
")",
")",
"return",
"self",
".",
"__api_request",
"(... | Fetch information about the scheduled status with the given id.
Returns a `scheduled toot dict`_. | [
"Fetch",
"information",
"about",
"the",
"scheduled",
"status",
"with",
"the",
"given",
"id",
"."
] | train | https://github.com/halcy/Mastodon.py/blob/35c43562dd3d34d6ebf7a0f757c09e8fcccc957c/mastodon/Mastodon.py#L820-L828 |
halcy/Mastodon.py | mastodon/Mastodon.py | Mastodon.poll | def poll(self, id):
"""
Fetch information about the poll with the given id
Returns a `poll dict`_.
"""
id = self.__unpack_id(id)
url = '/api/v1/polls/{0}'.format(str(id))
return self.__api_request('GET', url) | python | def poll(self, id):
"""
Fetch information about the poll with the given id
Returns a `poll dict`_.
"""
id = self.__unpack_id(id)
url = '/api/v1/polls/{0}'.format(str(id))
return self.__api_request('GET', url) | [
"def",
"poll",
"(",
"self",
",",
"id",
")",
":",
"id",
"=",
"self",
".",
"__unpack_id",
"(",
"id",
")",
"url",
"=",
"'/api/v1/polls/{0}'",
".",
"format",
"(",
"str",
"(",
"id",
")",
")",
"return",
"self",
".",
"__api_request",
"(",
"'GET'",
",",
"u... | Fetch information about the poll with the given id
Returns a `poll dict`_. | [
"Fetch",
"information",
"about",
"the",
"poll",
"with",
"the",
"given",
"id"
] | train | https://github.com/halcy/Mastodon.py/blob/35c43562dd3d34d6ebf7a0f757c09e8fcccc957c/mastodon/Mastodon.py#L834-L842 |
halcy/Mastodon.py | mastodon/Mastodon.py | Mastodon.account | def account(self, id):
"""
Fetch account information by user `id`.
Does not require authentication.
Returns a `user dict`_.
"""
id = self.__unpack_id(id)
url = '/api/v1/accounts/{0}'.format(str(id))
return self.__api_request('GET', url) | python | def account(self, id):
"""
Fetch account information by user `id`.
Does not require authentication.
Returns a `user dict`_.
"""
id = self.__unpack_id(id)
url = '/api/v1/accounts/{0}'.format(str(id))
return self.__api_request('GET', url) | [
"def",
"account",
"(",
"self",
",",
"id",
")",
":",
"id",
"=",
"self",
".",
"__unpack_id",
"(",
"id",
")",
"url",
"=",
"'/api/v1/accounts/{0}'",
".",
"format",
"(",
"str",
"(",
"id",
")",
")",
"return",
"self",
".",
"__api_request",
"(",
"'GET'",
","... | Fetch account information by user `id`.
Does not require authentication.
Returns a `user dict`_. | [
"Fetch",
"account",
"information",
"by",
"user",
"id",
".",
"Does",
"not",
"require",
"authentication",
".",
"Returns",
"a",
"user",
"dict",
"_",
"."
] | train | https://github.com/halcy/Mastodon.py/blob/35c43562dd3d34d6ebf7a0f757c09e8fcccc957c/mastodon/Mastodon.py#L878-L888 |
halcy/Mastodon.py | mastodon/Mastodon.py | Mastodon.account_statuses | def account_statuses(self, id, only_media=False, pinned=False, exclude_replies=False, max_id=None, min_id=None, since_id=None, limit=None):
"""
Fetch statuses by user `id`. Same options as `timeline()`_ are permitted.
Returned toots are from the perspective of the logged-in user, i.e.
al... | python | def account_statuses(self, id, only_media=False, pinned=False, exclude_replies=False, max_id=None, min_id=None, since_id=None, limit=None):
"""
Fetch statuses by user `id`. Same options as `timeline()`_ are permitted.
Returned toots are from the perspective of the logged-in user, i.e.
al... | [
"def",
"account_statuses",
"(",
"self",
",",
"id",
",",
"only_media",
"=",
"False",
",",
"pinned",
"=",
"False",
",",
"exclude_replies",
"=",
"False",
",",
"max_id",
"=",
"None",
",",
"min_id",
"=",
"None",
",",
"since_id",
"=",
"None",
",",
"limit",
"... | Fetch statuses by user `id`. Same options as `timeline()`_ are permitted.
Returned toots are from the perspective of the logged-in user, i.e.
all statuses visible to the logged-in user (including DMs) are
included.
If `only_media` is set, return only statuses with media attachments.
... | [
"Fetch",
"statuses",
"by",
"user",
"id",
".",
"Same",
"options",
"as",
"timeline",
"()",
"_",
"are",
"permitted",
".",
"Returned",
"toots",
"are",
"from",
"the",
"perspective",
"of",
"the",
"logged",
"-",
"in",
"user",
"i",
".",
"e",
".",
"all",
"statu... | train | https://github.com/halcy/Mastodon.py/blob/35c43562dd3d34d6ebf7a0f757c09e8fcccc957c/mastodon/Mastodon.py#L900-L935 |
halcy/Mastodon.py | mastodon/Mastodon.py | Mastodon.account_following | def account_following(self, id, max_id=None, min_id=None, since_id=None, limit=None):
"""
Fetch users the given user is following.
Returns a list of `user dicts`_.
"""
id = self.__unpack_id(id)
if max_id != None:
max_id = self.__unpack_id(max_id)
... | python | def account_following(self, id, max_id=None, min_id=None, since_id=None, limit=None):
"""
Fetch users the given user is following.
Returns a list of `user dicts`_.
"""
id = self.__unpack_id(id)
if max_id != None:
max_id = self.__unpack_id(max_id)
... | [
"def",
"account_following",
"(",
"self",
",",
"id",
",",
"max_id",
"=",
"None",
",",
"min_id",
"=",
"None",
",",
"since_id",
"=",
"None",
",",
"limit",
"=",
"None",
")",
":",
"id",
"=",
"self",
".",
"__unpack_id",
"(",
"id",
")",
"if",
"max_id",
"!... | Fetch users the given user is following.
Returns a list of `user dicts`_. | [
"Fetch",
"users",
"the",
"given",
"user",
"is",
"following",
"."
] | train | https://github.com/halcy/Mastodon.py/blob/35c43562dd3d34d6ebf7a0f757c09e8fcccc957c/mastodon/Mastodon.py#L938-L956 |
halcy/Mastodon.py | mastodon/Mastodon.py | Mastodon.account_relationships | def account_relationships(self, id):
"""
Fetch relationship (following, followed_by, blocking, follow requested) of
the logged in user to a given account. `id` can be a list.
Returns a list of `relationship dicts`_.
"""
id = self.__unpack_id(id)
params = self.__... | python | def account_relationships(self, id):
"""
Fetch relationship (following, followed_by, blocking, follow requested) of
the logged in user to a given account. `id` can be a list.
Returns a list of `relationship dicts`_.
"""
id = self.__unpack_id(id)
params = self.__... | [
"def",
"account_relationships",
"(",
"self",
",",
"id",
")",
":",
"id",
"=",
"self",
".",
"__unpack_id",
"(",
"id",
")",
"params",
"=",
"self",
".",
"__generate_params",
"(",
"locals",
"(",
")",
")",
"return",
"self",
".",
"__api_request",
"(",
"'GET'",
... | Fetch relationship (following, followed_by, blocking, follow requested) of
the logged in user to a given account. `id` can be a list.
Returns a list of `relationship dicts`_. | [
"Fetch",
"relationship",
"(",
"following",
"followed_by",
"blocking",
"follow",
"requested",
")",
"of",
"the",
"logged",
"in",
"user",
"to",
"a",
"given",
"account",
".",
"id",
"can",
"be",
"a",
"list",
"."
] | train | https://github.com/halcy/Mastodon.py/blob/35c43562dd3d34d6ebf7a0f757c09e8fcccc957c/mastodon/Mastodon.py#L980-L990 |
halcy/Mastodon.py | mastodon/Mastodon.py | Mastodon.account_search | def account_search(self, q, limit=None, following=False):
"""
Fetch matching accounts. Will lookup an account remotely if the search term is
in the username@domain format and not yet in the database. Set `following` to
True to limit the search to users the logged-in user follows.
... | python | def account_search(self, q, limit=None, following=False):
"""
Fetch matching accounts. Will lookup an account remotely if the search term is
in the username@domain format and not yet in the database. Set `following` to
True to limit the search to users the logged-in user follows.
... | [
"def",
"account_search",
"(",
"self",
",",
"q",
",",
"limit",
"=",
"None",
",",
"following",
"=",
"False",
")",
":",
"params",
"=",
"self",
".",
"__generate_params",
"(",
"locals",
"(",
")",
")",
"if",
"params",
"[",
"\"following\"",
"]",
"==",
"False"... | Fetch matching accounts. Will lookup an account remotely if the search term is
in the username@domain format and not yet in the database. Set `following` to
True to limit the search to users the logged-in user follows.
Returns a list of `user dicts`_. | [
"Fetch",
"matching",
"accounts",
".",
"Will",
"lookup",
"an",
"account",
"remotely",
"if",
"the",
"search",
"term",
"is",
"in",
"the",
"username@domain",
"format",
"and",
"not",
"yet",
"in",
"the",
"database",
".",
"Set",
"following",
"to",
"True",
"to",
"... | train | https://github.com/halcy/Mastodon.py/blob/35c43562dd3d34d6ebf7a0f757c09e8fcccc957c/mastodon/Mastodon.py#L993-L1006 |
halcy/Mastodon.py | mastodon/Mastodon.py | Mastodon.account_lists | def account_lists(self, id):
"""
Get all of the logged-in users lists which the specified user is
a member of.
Returns a list of `list dicts`_.
"""
id = self.__unpack_id(id)
params = self.__generate_params(locals(), ['id'])
url = '/api/v1/accounts... | python | def account_lists(self, id):
"""
Get all of the logged-in users lists which the specified user is
a member of.
Returns a list of `list dicts`_.
"""
id = self.__unpack_id(id)
params = self.__generate_params(locals(), ['id'])
url = '/api/v1/accounts... | [
"def",
"account_lists",
"(",
"self",
",",
"id",
")",
":",
"id",
"=",
"self",
".",
"__unpack_id",
"(",
"id",
")",
"params",
"=",
"self",
".",
"__generate_params",
"(",
"locals",
"(",
")",
",",
"[",
"'id'",
"]",
")",
"url",
"=",
"'/api/v1/accounts/{0}/li... | Get all of the logged-in users lists which the specified user is
a member of.
Returns a list of `list dicts`_. | [
"Get",
"all",
"of",
"the",
"logged",
"-",
"in",
"users",
"lists",
"which",
"the",
"specified",
"user",
"is",
"a",
"member",
"of",
".",
"Returns",
"a",
"list",
"of",
"list",
"dicts",
"_",
"."
] | train | https://github.com/halcy/Mastodon.py/blob/35c43562dd3d34d6ebf7a0f757c09e8fcccc957c/mastodon/Mastodon.py#L1009-L1019 |
halcy/Mastodon.py | mastodon/Mastodon.py | Mastodon.filter | def filter(self, id):
"""
Fetches information about the filter with the specified `id`.
Returns a `filter dict`_.
"""
id = self.__unpack_id(id)
url = '/api/v1/filters/{0}'.format(str(id))
return self.__api_request('GET', url) | python | def filter(self, id):
"""
Fetches information about the filter with the specified `id`.
Returns a `filter dict`_.
"""
id = self.__unpack_id(id)
url = '/api/v1/filters/{0}'.format(str(id))
return self.__api_request('GET', url) | [
"def",
"filter",
"(",
"self",
",",
"id",
")",
":",
"id",
"=",
"self",
".",
"__unpack_id",
"(",
"id",
")",
"url",
"=",
"'/api/v1/filters/{0}'",
".",
"format",
"(",
"str",
"(",
"id",
")",
")",
"return",
"self",
".",
"__api_request",
"(",
"'GET'",
",",
... | Fetches information about the filter with the specified `id`.
Returns a `filter dict`_. | [
"Fetches",
"information",
"about",
"the",
"filter",
"with",
"the",
"specified",
"id",
".",
"Returns",
"a",
"filter",
"dict",
"_",
"."
] | train | https://github.com/halcy/Mastodon.py/blob/35c43562dd3d34d6ebf7a0f757c09e8fcccc957c/mastodon/Mastodon.py#L1034-L1042 |
halcy/Mastodon.py | mastodon/Mastodon.py | Mastodon.filters_apply | def filters_apply(self, objects, filters, context):
"""
Helper function: Applies a list of filters to a list of either statuses
or notifications and returns only those matched by none. This function will
apply all filters that match the context provided in `context`, i.e.
if you... | python | def filters_apply(self, objects, filters, context):
"""
Helper function: Applies a list of filters to a list of either statuses
or notifications and returns only those matched by none. This function will
apply all filters that match the context provided in `context`, i.e.
if you... | [
"def",
"filters_apply",
"(",
"self",
",",
"objects",
",",
"filters",
",",
"context",
")",
":",
"# Build filter regex",
"filter_strings",
"=",
"[",
"]",
"for",
"keyword_filter",
"in",
"filters",
":",
"if",
"not",
"context",
"in",
"keyword_filter",
"[",
"\"conte... | Helper function: Applies a list of filters to a list of either statuses
or notifications and returns only those matched by none. This function will
apply all filters that match the context provided in `context`, i.e.
if you want to apply only notification-relevant filters, specify
'noti... | [
"Helper",
"function",
":",
"Applies",
"a",
"list",
"of",
"filters",
"to",
"a",
"list",
"of",
"either",
"statuses",
"or",
"notifications",
"and",
"returns",
"only",
"those",
"matched",
"by",
"none",
".",
"This",
"function",
"will",
"apply",
"all",
"filters",
... | train | https://github.com/halcy/Mastodon.py/blob/35c43562dd3d34d6ebf7a0f757c09e8fcccc957c/mastodon/Mastodon.py#L1045-L1077 |
halcy/Mastodon.py | mastodon/Mastodon.py | Mastodon.search | def search(self, q, resolve=True, result_type=None, account_id=None, offset=None, min_id=None, max_id=None):
"""
Fetch matching hashtags, accounts and statuses. Will perform webfinger
lookups if resolve is True. Full-text search is only enabled if
the instance supports it, and is restric... | python | def search(self, q, resolve=True, result_type=None, account_id=None, offset=None, min_id=None, max_id=None):
"""
Fetch matching hashtags, accounts and statuses. Will perform webfinger
lookups if resolve is True. Full-text search is only enabled if
the instance supports it, and is restric... | [
"def",
"search",
"(",
"self",
",",
"q",
",",
"resolve",
"=",
"True",
",",
"result_type",
"=",
"None",
",",
"account_id",
"=",
"None",
",",
"offset",
"=",
"None",
",",
"min_id",
"=",
"None",
",",
"max_id",
"=",
"None",
")",
":",
"return",
"self",
".... | Fetch matching hashtags, accounts and statuses. Will perform webfinger
lookups if resolve is True. Full-text search is only enabled if
the instance supports it, and is restricted to statuses the logged-in
user wrote or was mentioned in.
`result_type` can be one of "accounts", "h... | [
"Fetch",
"matching",
"hashtags",
"accounts",
"and",
"statuses",
".",
"Will",
"perform",
"webfinger",
"lookups",
"if",
"resolve",
"is",
"True",
".",
"Full",
"-",
"text",
"search",
"is",
"only",
"enabled",
"if",
"the",
"instance",
"supports",
"it",
"and",
"is"... | train | https://github.com/halcy/Mastodon.py/blob/35c43562dd3d34d6ebf7a0f757c09e8fcccc957c/mastodon/Mastodon.py#L1110-L1127 |
halcy/Mastodon.py | mastodon/Mastodon.py | Mastodon.search_v1 | def search_v1(self, q, resolve=False):
"""
Identical to `search_v2()`, except in that it does not return
tags as `hashtag dicts`_.
Returns a `search result dict`_.
"""
params = self.__generate_params(locals())
if resolve == False:
del params['resolve'... | python | def search_v1(self, q, resolve=False):
"""
Identical to `search_v2()`, except in that it does not return
tags as `hashtag dicts`_.
Returns a `search result dict`_.
"""
params = self.__generate_params(locals())
if resolve == False:
del params['resolve'... | [
"def",
"search_v1",
"(",
"self",
",",
"q",
",",
"resolve",
"=",
"False",
")",
":",
"params",
"=",
"self",
".",
"__generate_params",
"(",
"locals",
"(",
")",
")",
"if",
"resolve",
"==",
"False",
":",
"del",
"params",
"[",
"'resolve'",
"]",
"return",
"... | Identical to `search_v2()`, except in that it does not return
tags as `hashtag dicts`_.
Returns a `search result dict`_. | [
"Identical",
"to",
"search_v2",
"()",
"except",
"in",
"that",
"it",
"does",
"not",
"return",
"tags",
"as",
"hashtag",
"dicts",
"_",
"."
] | train | https://github.com/halcy/Mastodon.py/blob/35c43562dd3d34d6ebf7a0f757c09e8fcccc957c/mastodon/Mastodon.py#L1130-L1140 |
halcy/Mastodon.py | mastodon/Mastodon.py | Mastodon.search_v2 | def search_v2(self, q, resolve=True, result_type=None, account_id=None, offset=None, min_id=None, max_id=None):
"""
Identical to `search_v1()`, except in that it returns tags as
`hashtag dicts`_, has more parameters, and resolves by default.
Returns a `search result dict`_.
"""
... | python | def search_v2(self, q, resolve=True, result_type=None, account_id=None, offset=None, min_id=None, max_id=None):
"""
Identical to `search_v1()`, except in that it returns tags as
`hashtag dicts`_, has more parameters, and resolves by default.
Returns a `search result dict`_.
"""
... | [
"def",
"search_v2",
"(",
"self",
",",
"q",
",",
"resolve",
"=",
"True",
",",
"result_type",
"=",
"None",
",",
"account_id",
"=",
"None",
",",
"offset",
"=",
"None",
",",
"min_id",
"=",
"None",
",",
"max_id",
"=",
"None",
")",
":",
"params",
"=",
"s... | Identical to `search_v1()`, except in that it returns tags as
`hashtag dicts`_, has more parameters, and resolves by default.
Returns a `search result dict`_. | [
"Identical",
"to",
"search_v1",
"()",
"except",
"in",
"that",
"it",
"returns",
"tags",
"as",
"hashtag",
"dicts",
"_",
"has",
"more",
"parameters",
"and",
"resolves",
"by",
"default",
"."
] | train | https://github.com/halcy/Mastodon.py/blob/35c43562dd3d34d6ebf7a0f757c09e8fcccc957c/mastodon/Mastodon.py#L1143-L1159 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.