partition stringclasses 3
values | func_name stringlengths 1 134 | docstring stringlengths 1 46.9k | path stringlengths 4 223 | original_string stringlengths 75 104k | code stringlengths 75 104k | docstring_tokens listlengths 1 1.97k | repo stringlengths 7 55 | language stringclasses 1
value | url stringlengths 87 315 | code_tokens listlengths 19 28.4k | sha stringlengths 40 40 |
|---|---|---|---|---|---|---|---|---|---|---|---|
test | Sections.get_sections_with_students_in_course | Return list of sections including students for the passed course ID. | uw_canvas/sections.py | def get_sections_with_students_in_course(self, course_id, params={}):
"""
Return list of sections including students for the passed course ID.
"""
include = params.get("include", [])
if "students" not in include:
include.append("students")
params["include"] = ... | def get_sections_with_students_in_course(self, course_id, params={}):
"""
Return list of sections including students for the passed course ID.
"""
include = params.get("include", [])
if "students" not in include:
include.append("students")
params["include"] = ... | [
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"course",
"ID",
"."
] | uw-it-aca/uw-restclients-canvas | python | https://github.com/uw-it-aca/uw-restclients-canvas/blob/9845faf33d49a8f06908efc22640c001116d6ea2/uw_canvas/sections.py#L46-L55 | [
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"include"... | 9845faf33d49a8f06908efc22640c001116d6ea2 |
test | Sections.get_sections_with_students_in_course_by_sis_id | Return list of sections including students for the passed sis ID. | uw_canvas/sections.py | def get_sections_with_students_in_course_by_sis_id(self, sis_course_id,
params={}):
"""
Return list of sections including students for the passed sis ID.
"""
return self.get_sections_with_students_in_course(
self._sis_id(... | def get_sections_with_students_in_course_by_sis_id(self, sis_course_id,
params={}):
"""
Return list of sections including students for the passed sis ID.
"""
return self.get_sections_with_students_in_course(
self._sis_id(... | [
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] | uw-it-aca/uw-restclients-canvas | python | https://github.com/uw-it-aca/uw-restclients-canvas/blob/9845faf33d49a8f06908efc22640c001116d6ea2/uw_canvas/sections.py#L57-L63 | [
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"=... | 9845faf33d49a8f06908efc22640c001116d6ea2 |
test | Sections.create_section | Create a canvas section in the given course id.
https://canvas.instructure.com/doc/api/sections.html#method.sections.create | uw_canvas/sections.py | def create_section(self, course_id, name, sis_section_id):
"""
Create a canvas section in the given course id.
https://canvas.instructure.com/doc/api/sections.html#method.sections.create
"""
url = COURSES_API.format(course_id) + "/sections"
body = {"course_section": {"na... | def create_section(self, course_id, name, sis_section_id):
"""
Create a canvas section in the given course id.
https://canvas.instructure.com/doc/api/sections.html#method.sections.create
"""
url = COURSES_API.format(course_id) + "/sections"
body = {"course_section": {"na... | [
"Create",
"a",
"canvas",
"section",
"in",
"the",
"given",
"course",
"id",
"."
] | uw-it-aca/uw-restclients-canvas | python | https://github.com/uw-it-aca/uw-restclients-canvas/blob/9845faf33d49a8f06908efc22640c001116d6ea2/uw_canvas/sections.py#L65-L75 | [
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... | 9845faf33d49a8f06908efc22640c001116d6ea2 |
test | Sections.update_section | Update a canvas section with the given section id.
https://canvas.instructure.com/doc/api/sections.html#method.sections.update | uw_canvas/sections.py | def update_section(self, section_id, name, sis_section_id):
"""
Update a canvas section with the given section id.
https://canvas.instructure.com/doc/api/sections.html#method.sections.update
"""
url = SECTIONS_API.format(section_id)
body = {"course_section": {}}
... | def update_section(self, section_id, name, sis_section_id):
"""
Update a canvas section with the given section id.
https://canvas.instructure.com/doc/api/sections.html#method.sections.update
"""
url = SECTIONS_API.format(section_id)
body = {"course_section": {}}
... | [
"Update",
"a",
"canvas",
"section",
"with",
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"given",
"section",
"id",
"."
] | uw-it-aca/uw-restclients-canvas | python | https://github.com/uw-it-aca/uw-restclients-canvas/blob/9845faf33d49a8f06908efc22640c001116d6ea2/uw_canvas/sections.py#L77-L92 | [
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"body... | 9845faf33d49a8f06908efc22640c001116d6ea2 |
test | Quizzes.get_quizzes | List quizzes for a given course
https://canvas.instructure.com/doc/api/quizzes.html#method.quizzes_api.index | uw_canvas/quizzes.py | def get_quizzes(self, course_id):
"""
List quizzes for a given course
https://canvas.instructure.com/doc/api/quizzes.html#method.quizzes_api.index
"""
url = QUIZZES_API.format(course_id)
data = self._get_resource(url)
quizzes = []
for datum in data:
... | def get_quizzes(self, course_id):
"""
List quizzes for a given course
https://canvas.instructure.com/doc/api/quizzes.html#method.quizzes_api.index
"""
url = QUIZZES_API.format(course_id)
data = self._get_resource(url)
quizzes = []
for datum in data:
... | [
"List",
"quizzes",
"for",
"a",
"given",
"course"
] | uw-it-aca/uw-restclients-canvas | python | https://github.com/uw-it-aca/uw-restclients-canvas/blob/9845faf33d49a8f06908efc22640c001116d6ea2/uw_canvas/quizzes.py#L17-L28 | [
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"... | 9845faf33d49a8f06908efc22640c001116d6ea2 |
test | Accounts.get_account | Return account resource for given canvas account id.
https://canvas.instructure.com/doc/api/accounts.html#method.accounts.show | uw_canvas/accounts.py | def get_account(self, account_id):
"""
Return account resource for given canvas account id.
https://canvas.instructure.com/doc/api/accounts.html#method.accounts.show
"""
url = ACCOUNTS_API.format(account_id)
return CanvasAccount(data=self._get_resource(url)) | def get_account(self, account_id):
"""
Return account resource for given canvas account id.
https://canvas.instructure.com/doc/api/accounts.html#method.accounts.show
"""
url = ACCOUNTS_API.format(account_id)
return CanvasAccount(data=self._get_resource(url)) | [
"Return",
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"account",
"id",
"."
] | uw-it-aca/uw-restclients-canvas | python | https://github.com/uw-it-aca/uw-restclients-canvas/blob/9845faf33d49a8f06908efc22640c001116d6ea2/uw_canvas/accounts.py#L8-L15 | [
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] | 9845faf33d49a8f06908efc22640c001116d6ea2 |
test | Accounts.get_sub_accounts | Return list of subaccounts within the account with the passed
canvas id.
https://canvas.instructure.com/doc/api/accounts.html#method.accounts.sub_accounts | uw_canvas/accounts.py | def get_sub_accounts(self, account_id, params={}):
"""
Return list of subaccounts within the account with the passed
canvas id.
https://canvas.instructure.com/doc/api/accounts.html#method.accounts.sub_accounts
"""
url = ACCOUNTS_API.format(account_id) + "/sub_accounts"
... | def get_sub_accounts(self, account_id, params={}):
"""
Return list of subaccounts within the account with the passed
canvas id.
https://canvas.instructure.com/doc/api/accounts.html#method.accounts.sub_accounts
"""
url = ACCOUNTS_API.format(account_id) + "/sub_accounts"
... | [
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"within",
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"with",
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"passed",
"canvas",
"id",
"."
] | uw-it-aca/uw-restclients-canvas | python | https://github.com/uw-it-aca/uw-restclients-canvas/blob/9845faf33d49a8f06908efc22640c001116d6ea2/uw_canvas/accounts.py#L23-L36 | [
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... | 9845faf33d49a8f06908efc22640c001116d6ea2 |
test | Accounts.update_account | Update the passed account. Returns the updated account.
https://canvas.instructure.com/doc/api/accounts.html#method.accounts.update | uw_canvas/accounts.py | def update_account(self, account):
"""
Update the passed account. Returns the updated account.
https://canvas.instructure.com/doc/api/accounts.html#method.accounts.update
"""
url = ACCOUNTS_API.format(account.account_id)
body = {"account": {"name": account.name}}
... | def update_account(self, account):
"""
Update the passed account. Returns the updated account.
https://canvas.instructure.com/doc/api/accounts.html#method.accounts.update
"""
url = ACCOUNTS_API.format(account.account_id)
body = {"account": {"name": account.name}}
... | [
"Update",
"the",
"passed",
"account",
".",
"Returns",
"the",
"updated",
"account",
"."
] | uw-it-aca/uw-restclients-canvas | python | https://github.com/uw-it-aca/uw-restclients-canvas/blob/9845faf33d49a8f06908efc22640c001116d6ea2/uw_canvas/accounts.py#L60-L69 | [
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"... | 9845faf33d49a8f06908efc22640c001116d6ea2 |
test | Accounts.update_sis_id | Updates the SIS ID for the account identified by the passed account ID.
https://canvas.instructure.com/doc/api/accounts.html#method.accounts.update | uw_canvas/accounts.py | def update_sis_id(self, account_id, sis_account_id):
"""
Updates the SIS ID for the account identified by the passed account ID.
https://canvas.instructure.com/doc/api/accounts.html#method.accounts.update
"""
if account_id == self._canvas_account_id:
raise Exception(... | def update_sis_id(self, account_id, sis_account_id):
"""
Updates the SIS ID for the account identified by the passed account ID.
https://canvas.instructure.com/doc/api/accounts.html#method.accounts.update
"""
if account_id == self._canvas_account_id:
raise Exception(... | [
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] | uw-it-aca/uw-restclients-canvas | python | https://github.com/uw-it-aca/uw-restclients-canvas/blob/9845faf33d49a8f06908efc22640c001116d6ea2/uw_canvas/accounts.py#L71-L83 | [
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")",
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... | 9845faf33d49a8f06908efc22640c001116d6ea2 |
test | Accounts.get_auth_settings | Return the authentication settings for the passed account_id.
https://canvas.instructure.com/doc/api/authentication_providers.html#method.account_authorization_configs.show_sso_settings | uw_canvas/accounts.py | def get_auth_settings(self, account_id):
"""
Return the authentication settings for the passed account_id.
https://canvas.instructure.com/doc/api/authentication_providers.html#method.account_authorization_configs.show_sso_settings
"""
url = ACCOUNTS_API.format(account_id) + "/ss... | def get_auth_settings(self, account_id):
"""
Return the authentication settings for the passed account_id.
https://canvas.instructure.com/doc/api/authentication_providers.html#method.account_authorization_configs.show_sso_settings
"""
url = ACCOUNTS_API.format(account_id) + "/ss... | [
"Return",
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"authentication",
"settings",
"for",
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"passed",
"account_id",
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] | uw-it-aca/uw-restclients-canvas | python | https://github.com/uw-it-aca/uw-restclients-canvas/blob/9845faf33d49a8f06908efc22640c001116d6ea2/uw_canvas/accounts.py#L85-L92 | [
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test | Accounts.update_auth_settings | Update the authentication settings for the passed account_id.
https://canvas.instructure.com/doc/api/authentication_providers.html#method.account_authorization_configs.update_sso_settings | uw_canvas/accounts.py | def update_auth_settings(self, account_id, auth_settings):
"""
Update the authentication settings for the passed account_id.
https://canvas.instructure.com/doc/api/authentication_providers.html#method.account_authorization_configs.update_sso_settings
"""
url = ACCOUNTS_API.forma... | def update_auth_settings(self, account_id, auth_settings):
"""
Update the authentication settings for the passed account_id.
https://canvas.instructure.com/doc/api/authentication_providers.html#method.account_authorization_configs.update_sso_settings
"""
url = ACCOUNTS_API.forma... | [
"Update",
"the",
"authentication",
"settings",
"for",
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"passed",
"account_id",
"."
] | uw-it-aca/uw-restclients-canvas | python | https://github.com/uw-it-aca/uw-restclients-canvas/blob/9845faf33d49a8f06908efc22640c001116d6ea2/uw_canvas/accounts.py#L94-L102 | [
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"auth_settin... | 9845faf33d49a8f06908efc22640c001116d6ea2 |
test | settlement_schmertmann | Calculates the settlement of a shallow foundation (Schmertmann, 19XX).
:param sp: Soil Profile object
:param fd: Foundation object
:param load:
:param youngs_modulus_soil: The Young's modulus of the soil.
:param kwargs:
:return: float, the settlement. | geofound/settlement.py | def settlement_schmertmann(sp, fd, load, youngs_modulus_soil, **kwargs):
"""
Calculates the settlement of a shallow foundation (Schmertmann, 19XX).
:param sp: Soil Profile object
:param fd: Foundation object
:param load:
:param youngs_modulus_soil: The Young's modulus of the soil.
:param kw... | def settlement_schmertmann(sp, fd, load, youngs_modulus_soil, **kwargs):
"""
Calculates the settlement of a shallow foundation (Schmertmann, 19XX).
:param sp: Soil Profile object
:param fd: Foundation object
:param load:
:param youngs_modulus_soil: The Young's modulus of the soil.
:param kw... | [
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] | eng-tools/geofound | python | https://github.com/eng-tools/geofound/blob/6b1b097d5db998907bdcb5b4798fb4629674c770/geofound/settlement.py#L6-L74 | [
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... | 6b1b097d5db998907bdcb5b4798fb4629674c770 |
test | Terms.get_all_terms | Return all of the terms in the account.
https://canvas.instructure.com/doc/api/enrollment_terms.html#method.terms_api.index | uw_canvas/terms.py | def get_all_terms(self):
"""
Return all of the terms in the account.
https://canvas.instructure.com/doc/api/enrollment_terms.html#method.terms_api.index
"""
if not self._canvas_account_id:
raise MissingAccountID()
params = {"workflow_state": 'all', 'per_page'... | def get_all_terms(self):
"""
Return all of the terms in the account.
https://canvas.instructure.com/doc/api/enrollment_terms.html#method.terms_api.index
"""
if not self._canvas_account_id:
raise MissingAccountID()
params = {"workflow_state": 'all', 'per_page'... | [
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"ACCOUNTS_API",... | 9845faf33d49a8f06908efc22640c001116d6ea2 |
test | Terms.get_term_by_sis_id | Return a term resource for the passed SIS ID. | uw_canvas/terms.py | def get_term_by_sis_id(self, sis_term_id):
"""
Return a term resource for the passed SIS ID.
"""
for term in self.get_all_terms():
if term.sis_term_id == sis_term_id:
return term | def get_term_by_sis_id(self, sis_term_id):
"""
Return a term resource for the passed SIS ID.
"""
for term in self.get_all_terms():
if term.sis_term_id == sis_term_id:
return term | [
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] | uw-it-aca/uw-restclients-canvas | python | https://github.com/uw-it-aca/uw-restclients-canvas/blob/9845faf33d49a8f06908efc22640c001116d6ea2/uw_canvas/terms.py#L25-L31 | [
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] | 9845faf33d49a8f06908efc22640c001116d6ea2 |
test | Terms.update_term_overrides | Update an existing enrollment term for the passed SIS ID.
https://canvas.instructure.com/doc/api/enrollment_terms.html#method.terms.update | uw_canvas/terms.py | def update_term_overrides(self, sis_term_id, overrides={}):
"""
Update an existing enrollment term for the passed SIS ID.
https://canvas.instructure.com/doc/api/enrollment_terms.html#method.terms.update
"""
if not self._canvas_account_id:
raise MissingAccountID()
... | def update_term_overrides(self, sis_term_id, overrides={}):
"""
Update an existing enrollment term for the passed SIS ID.
https://canvas.instructure.com/doc/api/enrollment_terms.html#method.terms.update
"""
if not self._canvas_account_id:
raise MissingAccountID()
... | [
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... | 9845faf33d49a8f06908efc22640c001116d6ea2 |
test | log | Produces console output.
:param out_str: Output string
:param o2: Additional output string
:param o3: Additional output string
:param o4: Additional output string
:return: None | geofound/output.py | def log(out_str, o2="", o3="", o4=""):
"""
Produces console output.
:param out_str: Output string
:param o2: Additional output string
:param o3: Additional output string
:param o4: Additional output string
:return: None
"""
print(out_str, o2, o3, o4) | def log(out_str, o2="", o3="", o4=""):
"""
Produces console output.
:param out_str: Output string
:param o2: Additional output string
:param o3: Additional output string
:param o4: Additional output string
:return: None
"""
print(out_str, o2, o3, o4) | [
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] | 6b1b097d5db998907bdcb5b4798fb4629674c770 |
test | SISImport.import_str | Imports a CSV string.
https://canvas.instructure.com/doc/api/sis_imports.html#method.sis_imports_api.create | uw_canvas/sis_import.py | def import_str(self, csv, params={}):
"""
Imports a CSV string.
https://canvas.instructure.com/doc/api/sis_imports.html#method.sis_imports_api.create
"""
if not self._canvas_account_id:
raise MissingAccountID()
params["import_type"] = SISImportModel.CSV_IMPO... | def import_str(self, csv, params={}):
"""
Imports a CSV string.
https://canvas.instructure.com/doc/api/sis_imports.html#method.sis_imports_api.create
"""
if not self._canvas_account_id:
raise MissingAccountID()
params["import_type"] = SISImportModel.CSV_IMPO... | [
"Imports",
"a",
"CSV",
"string",
"."
] | uw-it-aca/uw-restclients-canvas | python | https://github.com/uw-it-aca/uw-restclients-canvas/blob/9845faf33d49a8f06908efc22640c001116d6ea2/uw_canvas/sis_import.py#L18-L32 | [
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"CSV_IMPORT... | 9845faf33d49a8f06908efc22640c001116d6ea2 |
test | SISImport.import_dir | Imports a directory of CSV files.
https://canvas.instructure.com/doc/api/sis_imports.html#method.sis_imports_api.create | uw_canvas/sis_import.py | def import_dir(self, dir_path, params={}):
"""
Imports a directory of CSV files.
https://canvas.instructure.com/doc/api/sis_imports.html#method.sis_imports_api.create
"""
if not self._canvas_account_id:
raise MissingAccountID()
body = self._build_archive(dir... | def import_dir(self, dir_path, params={}):
"""
Imports a directory of CSV files.
https://canvas.instructure.com/doc/api/sis_imports.html#method.sis_imports_api.create
"""
if not self._canvas_account_id:
raise MissingAccountID()
body = self._build_archive(dir... | [
"Imports",
"a",
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"CSV",
"files",
"."
] | uw-it-aca/uw-restclients-canvas | python | https://github.com/uw-it-aca/uw-restclients-canvas/blob/9845faf33d49a8f06908efc22640c001116d6ea2/uw_canvas/sis_import.py#L34-L49 | [
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test | SISImport.get_import_status | Get the status of an already created SIS import.
https://canvas.instructure.com/doc/api/sis_imports.html#method.sis_imports_api.show | uw_canvas/sis_import.py | def get_import_status(self, sis_import):
"""
Get the status of an already created SIS import.
https://canvas.instructure.com/doc/api/sis_imports.html#method.sis_imports_api.show
"""
if not self._canvas_account_id:
raise MissingAccountID()
url = SIS_IMPORTS_A... | def get_import_status(self, sis_import):
"""
Get the status of an already created SIS import.
https://canvas.instructure.com/doc/api/sis_imports.html#method.sis_imports_api.show
"""
if not self._canvas_account_id:
raise MissingAccountID()
url = SIS_IMPORTS_A... | [
"Get",
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"of",
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"already",
"created",
"SIS",
"import",
"."
] | uw-it-aca/uw-restclients-canvas | python | https://github.com/uw-it-aca/uw-restclients-canvas/blob/9845faf33d49a8f06908efc22640c001116d6ea2/uw_canvas/sis_import.py#L51-L63 | [
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... | 9845faf33d49a8f06908efc22640c001116d6ea2 |
test | SISImport._build_archive | Creates a zip archive from files in path. | uw_canvas/sis_import.py | def _build_archive(self, dir_path):
"""
Creates a zip archive from files in path.
"""
zip_path = os.path.join(dir_path, "import.zip")
archive = zipfile.ZipFile(zip_path, "w")
for filename in CSV_FILES:
filepath = os.path.join(dir_path, filename)
... | def _build_archive(self, dir_path):
"""
Creates a zip archive from files in path.
"""
zip_path = os.path.join(dir_path, "import.zip")
archive = zipfile.ZipFile(zip_path, "w")
for filename in CSV_FILES:
filepath = os.path.join(dir_path, filename)
... | [
"Creates",
"a",
"zip",
"archive",
"from",
"files",
"in",
"path",
"."
] | uw-it-aca/uw-restclients-canvas | python | https://github.com/uw-it-aca/uw-restclients-canvas/blob/9845faf33d49a8f06908efc22640c001116d6ea2/uw_canvas/sis_import.py#L75-L93 | [
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"filename... | 9845faf33d49a8f06908efc22640c001116d6ea2 |
test | Assignments.get_assignments | List assignments for a given course
https://canvas.instructure.com/doc/api/assignments.html#method.assignments_api.index | uw_canvas/assignments.py | def get_assignments(self, course_id):
"""
List assignments for a given course
https://canvas.instructure.com/doc/api/assignments.html#method.assignments_api.index
"""
url = ASSIGNMENTS_API.format(course_id)
data = self._get_resource(url)
assignments = []
... | def get_assignments(self, course_id):
"""
List assignments for a given course
https://canvas.instructure.com/doc/api/assignments.html#method.assignments_api.index
"""
url = ASSIGNMENTS_API.format(course_id)
data = self._get_resource(url)
assignments = []
... | [
"List",
"assignments",
"for",
"a",
"given",
"course"
] | uw-it-aca/uw-restclients-canvas | python | https://github.com/uw-it-aca/uw-restclients-canvas/blob/9845faf33d49a8f06908efc22640c001116d6ea2/uw_canvas/assignments.py#L9-L20 | [
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"data"... | 9845faf33d49a8f06908efc22640c001116d6ea2 |
test | Assignments.update_assignment | Modify an existing assignment.
https://canvas.instructure.com/doc/api/assignments.html#method.assignments_api.update | uw_canvas/assignments.py | def update_assignment(self, assignment):
"""
Modify an existing assignment.
https://canvas.instructure.com/doc/api/assignments.html#method.assignments_api.update
"""
url = ASSIGNMENTS_API.format(assignment.course_id) + "/{}".format(
assignment.assignment_id)
... | def update_assignment(self, assignment):
"""
Modify an existing assignment.
https://canvas.instructure.com/doc/api/assignments.html#method.assignments_api.update
"""
url = ASSIGNMENTS_API.format(assignment.course_id) + "/{}".format(
assignment.assignment_id)
... | [
"Modify",
"an",
"existing",
"assignment",
"."
] | uw-it-aca/uw-restclients-canvas | python | https://github.com/uw-it-aca/uw-restclients-canvas/blob/9845faf33d49a8f06908efc22640c001116d6ea2/uw_canvas/assignments.py#L30-L40 | [
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... | 9845faf33d49a8f06908efc22640c001116d6ea2 |
test | Reports.get_available_reports | Returns the list of reports for the canvas account id.
https://canvas.instructure.com/doc/api/account_reports.html#method.account_reports.available_reports | uw_canvas/reports.py | def get_available_reports(self, account_id):
"""
Returns the list of reports for the canvas account id.
https://canvas.instructure.com/doc/api/account_reports.html#method.account_reports.available_reports
"""
url = ACCOUNTS_API.format(account_id) + "/reports"
report_typ... | def get_available_reports(self, account_id):
"""
Returns the list of reports for the canvas account id.
https://canvas.instructure.com/doc/api/account_reports.html#method.account_reports.available_reports
"""
url = ACCOUNTS_API.format(account_id) + "/reports"
report_typ... | [
"Returns",
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"list",
"of",
"reports",
"for",
"the",
"canvas",
"account",
"id",
"."
] | uw-it-aca/uw-restclients-canvas | python | https://github.com/uw-it-aca/uw-restclients-canvas/blob/9845faf33d49a8f06908efc22640c001116d6ea2/uw_canvas/reports.py#L23-L34 | [
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... | 9845faf33d49a8f06908efc22640c001116d6ea2 |
test | Reports.get_reports_by_type | Shows all reports of the passed report_type that have been run
for the canvas account id.
https://canvas.instructure.com/doc/api/account_reports.html#method.account_reports.index | uw_canvas/reports.py | def get_reports_by_type(self, account_id, report_type):
"""
Shows all reports of the passed report_type that have been run
for the canvas account id.
https://canvas.instructure.com/doc/api/account_reports.html#method.account_reports.index
"""
url = ACCOUNTS_API.format(ac... | def get_reports_by_type(self, account_id, report_type):
"""
Shows all reports of the passed report_type that have been run
for the canvas account id.
https://canvas.instructure.com/doc/api/account_reports.html#method.account_reports.index
"""
url = ACCOUNTS_API.format(ac... | [
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] | uw-it-aca/uw-restclients-canvas | python | https://github.com/uw-it-aca/uw-restclients-canvas/blob/9845faf33d49a8f06908efc22640c001116d6ea2/uw_canvas/reports.py#L36-L51 | [
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test | Reports.create_report | Generates a report instance for the canvas account id.
https://canvas.instructure.com/doc/api/account_reports.html#method.account_reports.create | uw_canvas/reports.py | def create_report(self, report_type, account_id, term_id=None, params={}):
"""
Generates a report instance for the canvas account id.
https://canvas.instructure.com/doc/api/account_reports.html#method.account_reports.create
"""
if term_id is not None:
params["enrollm... | def create_report(self, report_type, account_id, term_id=None, params={}):
"""
Generates a report instance for the canvas account id.
https://canvas.instructure.com/doc/api/account_reports.html#method.account_reports.create
"""
if term_id is not None:
params["enrollm... | [
"Generates",
"a",
"report",
"instance",
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"canvas",
"account",
"id",
"."
] | uw-it-aca/uw-restclients-canvas | python | https://github.com/uw-it-aca/uw-restclients-canvas/blob/9845faf33d49a8f06908efc22640c001116d6ea2/uw_canvas/reports.py#L53-L68 | [
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"url... | 9845faf33d49a8f06908efc22640c001116d6ea2 |
test | Reports.create_course_provisioning_report | Convenience method for create_report, for creating a course
provisioning report. | uw_canvas/reports.py | def create_course_provisioning_report(self, account_id, term_id=None,
params={}):
"""
Convenience method for create_report, for creating a course
provisioning report.
"""
params["courses"] = True
return self.create_report(ReportTy... | def create_course_provisioning_report(self, account_id, term_id=None,
params={}):
"""
Convenience method for create_report, for creating a course
provisioning report.
"""
params["courses"] = True
return self.create_report(ReportTy... | [
"Convenience",
"method",
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"for",
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"a",
"course",
"provisioning",
"report",
"."
] | uw-it-aca/uw-restclients-canvas | python | https://github.com/uw-it-aca/uw-restclients-canvas/blob/9845faf33d49a8f06908efc22640c001116d6ea2/uw_canvas/reports.py#L70-L78 | [
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... | 9845faf33d49a8f06908efc22640c001116d6ea2 |
test | Reports.create_course_sis_export_report | Convenience method for create_report, for creating a course sis export
report. | uw_canvas/reports.py | def create_course_sis_export_report(self, account_id, term_id=None,
params={}):
"""
Convenience method for create_report, for creating a course sis export
report.
"""
params["courses"] = True
return self.create_report(ReportType.SIS... | def create_course_sis_export_report(self, account_id, term_id=None,
params={}):
"""
Convenience method for create_report, for creating a course sis export
report.
"""
params["courses"] = True
return self.create_report(ReportType.SIS... | [
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] | uw-it-aca/uw-restclients-canvas | python | https://github.com/uw-it-aca/uw-restclients-canvas/blob/9845faf33d49a8f06908efc22640c001116d6ea2/uw_canvas/reports.py#L110-L118 | [
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"... | 9845faf33d49a8f06908efc22640c001116d6ea2 |
test | Reports.create_unused_courses_report | Convenience method for create_report, for creating an unused courses
report. | uw_canvas/reports.py | def create_unused_courses_report(self, account_id, term_id=None):
"""
Convenience method for create_report, for creating an unused courses
report.
"""
return self.create_report(ReportType.UNUSED_COURSES, account_id,
term_id) | def create_unused_courses_report(self, account_id, term_id=None):
"""
Convenience method for create_report, for creating an unused courses
report.
"""
return self.create_report(ReportType.UNUSED_COURSES, account_id,
term_id) | [
"Convenience",
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"for",
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"an",
"unused",
"courses",
"report",
"."
] | uw-it-aca/uw-restclients-canvas | python | https://github.com/uw-it-aca/uw-restclients-canvas/blob/9845faf33d49a8f06908efc22640c001116d6ea2/uw_canvas/reports.py#L120-L126 | [
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"UNUSED_COURSES",
",",
"account_id",
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"term_id",
")"
] | 9845faf33d49a8f06908efc22640c001116d6ea2 |
test | Reports.get_report_data | Returns a completed report as a list of csv strings. | uw_canvas/reports.py | def get_report_data(self, report):
"""
Returns a completed report as a list of csv strings.
"""
if report.report_id is None or report.status is None:
raise ReportFailureException(report)
interval = getattr(settings, 'CANVAS_REPORT_POLLING_INTERVAL', 5)
while ... | def get_report_data(self, report):
"""
Returns a completed report as a list of csv strings.
"""
if report.report_id is None or report.status is None:
raise ReportFailureException(report)
interval = getattr(settings, 'CANVAS_REPORT_POLLING_INTERVAL', 5)
while ... | [
"Returns",
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"completed",
"report",
"as",
"a",
"list",
"of",
"csv",
"strings",
"."
] | uw-it-aca/uw-restclients-canvas | python | https://github.com/uw-it-aca/uw-restclients-canvas/blob/9845faf33d49a8f06908efc22640c001116d6ea2/uw_canvas/reports.py#L128-L147 | [
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"setti... | 9845faf33d49a8f06908efc22640c001116d6ea2 |
test | Reports.get_report_status | Returns the status of a report.
https://canvas.instructure.com/doc/api/account_reports.html#method.account_reports.show | uw_canvas/reports.py | def get_report_status(self, report):
"""
Returns the status of a report.
https://canvas.instructure.com/doc/api/account_reports.html#method.account_reports.show
"""
if (report.account_id is None or report.type is None or
report.report_id is None):
rai... | def get_report_status(self, report):
"""
Returns the status of a report.
https://canvas.instructure.com/doc/api/account_reports.html#method.account_reports.show
"""
if (report.account_id is None or report.type is None or
report.report_id is None):
rai... | [
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] | uw-it-aca/uw-restclients-canvas | python | https://github.com/uw-it-aca/uw-restclients-canvas/blob/9845faf33d49a8f06908efc22640c001116d6ea2/uw_canvas/reports.py#L149-L164 | [
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... | 9845faf33d49a8f06908efc22640c001116d6ea2 |
test | Reports.delete_report | Deletes a generated report instance.
https://canvas.instructure.com/doc/api/account_reports.html#method.account_reports.destroy | uw_canvas/reports.py | def delete_report(self, report):
"""
Deletes a generated report instance.
https://canvas.instructure.com/doc/api/account_reports.html#method.account_reports.destroy
"""
url = ACCOUNTS_API.format(report.account_id) + "/reports/{}/{}".format(
report.type, report.report... | def delete_report(self, report):
"""
Deletes a generated report instance.
https://canvas.instructure.com/doc/api/account_reports.html#method.account_reports.destroy
"""
url = ACCOUNTS_API.format(report.account_id) + "/reports/{}/{}".format(
report.type, report.report... | [
"Deletes",
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"instance",
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] | uw-it-aca/uw-restclients-canvas | python | https://github.com/uw-it-aca/uw-restclients-canvas/blob/9845faf33d49a8f06908efc22640c001116d6ea2/uw_canvas/reports.py#L166-L176 | [
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"r... | 9845faf33d49a8f06908efc22640c001116d6ea2 |
test | crop_image | Crop an image given the top left corner.
:param img: The image
:param start_y: The top left corner y coord
:param start_x: The top left corner x coord
:param h: The result height
:param w: The result width
:return: The cropped image. | opendatalake/detection/utils.py | def crop_image(img, start_y, start_x, h, w):
"""
Crop an image given the top left corner.
:param img: The image
:param start_y: The top left corner y coord
:param start_x: The top left corner x coord
:param h: The result height
:param w: The result width
:return: The cropped image.
"... | def crop_image(img, start_y, start_x, h, w):
"""
Crop an image given the top left corner.
:param img: The image
:param start_y: The top left corner y coord
:param start_x: The top left corner x coord
:param h: The result height
:param w: The result width
:return: The cropped image.
"... | [
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"... | penguinmenac3/opendatalake | python | https://github.com/penguinmenac3/opendatalake/blob/77c888377095e1812a16982c8efbd2f6b1697a33/opendatalake/detection/utils.py#L758-L768 | [
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] | 77c888377095e1812a16982c8efbd2f6b1697a33 |
test | move_detections | Move detections in direction dx, dy.
:param label: The label dict containing all detection lists.
:param dy: The delta in y direction as a number.
:param dx: The delta in x direction as a number.
:return: | opendatalake/detection/utils.py | def move_detections(label, dy, dx):
"""
Move detections in direction dx, dy.
:param label: The label dict containing all detection lists.
:param dy: The delta in y direction as a number.
:param dx: The delta in x direction as a number.
:return:
"""
for k in label.keys():
if k.st... | def move_detections(label, dy, dx):
"""
Move detections in direction dx, dy.
:param label: The label dict containing all detection lists.
:param dy: The delta in y direction as a number.
:param dx: The delta in x direction as a number.
:return:
"""
for k in label.keys():
if k.st... | [
"Move",
"detections",
"in",
"direction",
"dx",
"dy",
"."
] | penguinmenac3/opendatalake | python | https://github.com/penguinmenac3/opendatalake/blob/77c888377095e1812a16982c8efbd2f6b1697a33/opendatalake/detection/utils.py#L771-L784 | [
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test | hflip_detections | Horizontally flip detections according to an image flip.
:param label: The label dict containing all detection lists.
:param w: The width of the image as a number.
:return: | opendatalake/detection/utils.py | def hflip_detections(label, w):
"""
Horizontally flip detections according to an image flip.
:param label: The label dict containing all detection lists.
:param w: The width of the image as a number.
:return:
"""
for k in label.keys():
if k.startswith("detection"):
detec... | def hflip_detections(label, w):
"""
Horizontally flip detections according to an image flip.
:param label: The label dict containing all detection lists.
:param w: The width of the image as a number.
:return:
"""
for k in label.keys():
if k.startswith("detection"):
detec... | [
"Horizontally",
"flip",
"detections",
"according",
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"image",
"flip",
"."
] | penguinmenac3/opendatalake | python | https://github.com/penguinmenac3/opendatalake/blob/77c888377095e1812a16982c8efbd2f6b1697a33/opendatalake/detection/utils.py#L787-L801 | [
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"... | 77c888377095e1812a16982c8efbd2f6b1697a33 |
test | augment_detections | Augment the detection dataset.
In your hyper_parameters.problem.augmentation add configurations to enable features.
Supports "enable_horizontal_flip", "enable_micro_translation", "random_crop" : {"shape": { "width", "height" }}
and "enable_texture_augmentation". Make sure to also set the "steps" otherwise ... | opendatalake/detection/utils.py | def augment_detections(hyper_params, feature, label):
"""
Augment the detection dataset.
In your hyper_parameters.problem.augmentation add configurations to enable features.
Supports "enable_horizontal_flip", "enable_micro_translation", "random_crop" : {"shape": { "width", "height" }}
and "enable_t... | def augment_detections(hyper_params, feature, label):
"""
Augment the detection dataset.
In your hyper_parameters.problem.augmentation add configurations to enable features.
Supports "enable_horizontal_flip", "enable_micro_translation", "random_crop" : {"shape": { "width", "height" }}
and "enable_t... | [
"Augment",
"the",
"detection",
"dataset",
"."
] | penguinmenac3/opendatalake | python | https://github.com/penguinmenac3/opendatalake/blob/77c888377095e1812a16982c8efbd2f6b1697a33/opendatalake/detection/utils.py#L804-L926 | [
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"# Do not augment these ways:",
"# 1) Rotation is not possible",
"# 3) Scaling is not possible, because it ruins depth perception",
"# However, random crops can improve performance. (Training speed an... | 77c888377095e1812a16982c8efbd2f6b1697a33 |
test | get_dict_from_obj | Edit to get the dict even when the object is a GenericRelatedObjectManager.
Added the try except. | inplaceeditform/commons.py | def get_dict_from_obj(obj):
'''
Edit to get the dict even when the object is a GenericRelatedObjectManager.
Added the try except.
'''
obj_dict = obj.__dict__
obj_dict_result = obj_dict.copy()
for key, value in obj_dict.items():
if key.endswith('_id'):
key2 = key.replace('... | def get_dict_from_obj(obj):
'''
Edit to get the dict even when the object is a GenericRelatedObjectManager.
Added the try except.
'''
obj_dict = obj.__dict__
obj_dict_result = obj_dict.copy()
for key, value in obj_dict.items():
if key.endswith('_id'):
key2 = key.replace('... | [
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"Added",
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] | django-inplaceedit/django-inplaceedit | python | https://github.com/django-inplaceedit/django-inplaceedit/blob/7ba18e7906f56c56395ca07e2486755062efce00/inplaceeditform/commons.py#L35-L57 | [
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"endswith... | 7ba18e7906f56c56395ca07e2486755062efce00 |
test | BaseAdaptorField.get_config | Get the arguments given to the template tag element and complete these
with the ones from the settings.py if necessary. | inplaceeditform/fields.py | def get_config(self, request, **kwargs):
"""
Get the arguments given to the template tag element and complete these
with the ones from the settings.py if necessary.
"""
config = kwargs
config_from_settings = deepcopy(inplace_settings.DEFAULT_INPLACE_EDIT_OPTIONS)
... | def get_config(self, request, **kwargs):
"""
Get the arguments given to the template tag element and complete these
with the ones from the settings.py if necessary.
"""
config = kwargs
config_from_settings = deepcopy(inplace_settings.DEFAULT_INPLACE_EDIT_OPTIONS)
... | [
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"py",
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"."
] | django-inplaceedit/django-inplaceedit | python | https://github.com/django-inplaceedit/django-inplaceedit/blob/7ba18e7906f56c56395ca07e2486755062efce00/inplaceeditform/fields.py#L92-L109 | [
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"=",
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... | 7ba18e7906f56c56395ca07e2486755062efce00 |
test | BaseAdaptorField.empty_value | Get the text to display when the field is empty. | inplaceeditform/fields.py | def empty_value(self):
'''
Get the text to display when the field is empty.
'''
edit_empty_value = self.config.get('edit_empty_value', False)
if edit_empty_value:
return edit_empty_value
else:
return unicode(inplace_settings.INPLACEEDIT_EDIT_EMPTY_... | def empty_value(self):
'''
Get the text to display when the field is empty.
'''
edit_empty_value = self.config.get('edit_empty_value', False)
if edit_empty_value:
return edit_empty_value
else:
return unicode(inplace_settings.INPLACEEDIT_EDIT_EMPTY_... | [
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"to",
"display",
"when",
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"is",
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"."
] | django-inplaceedit/django-inplaceedit | python | https://github.com/django-inplaceedit/django-inplaceedit/blob/7ba18e7906f56c56395ca07e2486755062efce00/inplaceeditform/fields.py#L143-L151 | [
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"inplace_... | 7ba18e7906f56c56395ca07e2486755062efce00 |
test | do_eval | Usage: {% eval %}1 + 1{% endeval %} | inplaceeditform/templatetags/inplace_edit.py | def do_eval(parser, token):
"Usage: {% eval %}1 + 1{% endeval %}"
nodelist = parser.parse(('endeval',))
class EvalNode(template.Node):
def render(self, context):
return template.Template(nodelist.render(context)).render(template.Context(context))
parser.delete_first_token()
ret... | def do_eval(parser, token):
"Usage: {% eval %}1 + 1{% endeval %}"
nodelist = parser.parse(('endeval',))
class EvalNode(template.Node):
def render(self, context):
return template.Template(nodelist.render(context)).render(template.Context(context))
parser.delete_first_token()
ret... | [
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] | django-inplaceedit/django-inplaceedit | python | https://github.com/django-inplaceedit/django-inplaceedit/blob/7ba18e7906f56c56395ca07e2486755062efce00/inplaceeditform/templatetags/inplace_edit.py#L123-L132 | [
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... | 7ba18e7906f56c56395ca07e2486755062efce00 |
test | parse_args_kwargs | Parse uniformly args and kwargs from a templatetag
Usage::
For parsing a template like this:
{% footag my_contents,height=10,zoom=20 as myvar %}
You simply do this:
@register.tag
def footag(parser, token):
args, kwargs = parse_args_kwargs(parser, token) | inplaceeditform/tag_utils.py | def parse_args_kwargs(parser, token):
"""
Parse uniformly args and kwargs from a templatetag
Usage::
For parsing a template like this:
{% footag my_contents,height=10,zoom=20 as myvar %}
You simply do this:
@register.tag
def footag(parser, token):
args, kwargs = ... | def parse_args_kwargs(parser, token):
"""
Parse uniformly args and kwargs from a templatetag
Usage::
For parsing a template like this:
{% footag my_contents,height=10,zoom=20 as myvar %}
You simply do this:
@register.tag
def footag(parser, token):
args, kwargs = ... | [
"Parse",
"uniformly",
"args",
"and",
"kwargs",
"from",
"a",
"templatetag"
] | django-inplaceedit/django-inplaceedit | python | https://github.com/django-inplaceedit/django-inplaceedit/blob/7ba18e7906f56c56395ca07e2486755062efce00/inplaceeditform/tag_utils.py#L22-L63 | [
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"\"'%s' takes at... | 7ba18e7906f56c56395ca07e2486755062efce00 |
test | PrometheusExporterScript.create_metrics | Create and register metrics from a list of MetricConfigs. | prometheus_aioexporter/script.py | def create_metrics(
self, metric_configs: Iterable[MetricConfig]) -> Dict[str, Metric]:
"""Create and register metrics from a list of MetricConfigs."""
return self.registry.create_metrics(metric_configs) | def create_metrics(
self, metric_configs: Iterable[MetricConfig]) -> Dict[str, Metric]:
"""Create and register metrics from a list of MetricConfigs."""
return self.registry.create_metrics(metric_configs) | [
"Create",
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"metrics",
"from",
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"list",
"of",
"MetricConfigs",
"."
] | albertodonato/prometheus-aioexporter | python | https://github.com/albertodonato/prometheus-aioexporter/blob/e1b85544ce72bfaae9182597709a2ecede8c8242/prometheus_aioexporter/script.py#L93-L96 | [
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"metric_configs",
")"
] | e1b85544ce72bfaae9182597709a2ecede8c8242 |
test | PrometheusExporterScript._setup_logging | Setup logging for the application and aiohttp. | prometheus_aioexporter/script.py | def _setup_logging(self, log_level: str):
"""Setup logging for the application and aiohttp."""
level = getattr(logging, log_level)
names = (
'aiohttp.access', 'aiohttp.internal', 'aiohttp.server',
'aiohttp.web', self.name)
for name in names:
setup_logg... | def _setup_logging(self, log_level: str):
"""Setup logging for the application and aiohttp."""
level = getattr(logging, log_level)
names = (
'aiohttp.access', 'aiohttp.internal', 'aiohttp.server',
'aiohttp.web', self.name)
for name in names:
setup_logg... | [
"Setup",
"logging",
"for",
"the",
"application",
"and",
"aiohttp",
"."
] | albertodonato/prometheus-aioexporter | python | https://github.com/albertodonato/prometheus-aioexporter/blob/e1b85544ce72bfaae9182597709a2ecede8c8242/prometheus_aioexporter/script.py#L130-L137 | [
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... | e1b85544ce72bfaae9182597709a2ecede8c8242 |
test | PrometheusExporterScript._configure_registry | Configure the MetricRegistry. | prometheus_aioexporter/script.py | def _configure_registry(self, include_process_stats: bool = False):
"""Configure the MetricRegistry."""
if include_process_stats:
self.registry.register_additional_collector(
ProcessCollector(registry=None)) | def _configure_registry(self, include_process_stats: bool = False):
"""Configure the MetricRegistry."""
if include_process_stats:
self.registry.register_additional_collector(
ProcessCollector(registry=None)) | [
"Configure",
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"MetricRegistry",
"."
] | albertodonato/prometheus-aioexporter | python | https://github.com/albertodonato/prometheus-aioexporter/blob/e1b85544ce72bfaae9182597709a2ecede8c8242/prometheus_aioexporter/script.py#L139-L143 | [
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"None",
... | e1b85544ce72bfaae9182597709a2ecede8c8242 |
test | PrometheusExporterScript._get_exporter | Return a :class:`PrometheusExporter` configured with args. | prometheus_aioexporter/script.py | def _get_exporter(self, args: argparse.Namespace) -> PrometheusExporter:
"""Return a :class:`PrometheusExporter` configured with args."""
exporter = PrometheusExporter(
self.name, self.description, args.host, args.port, self.registry)
exporter.app.on_startup.append(self.on_applicatio... | def _get_exporter(self, args: argparse.Namespace) -> PrometheusExporter:
"""Return a :class:`PrometheusExporter` configured with args."""
exporter = PrometheusExporter(
self.name, self.description, args.host, args.port, self.registry)
exporter.app.on_startup.append(self.on_applicatio... | [
"Return",
"a",
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"class",
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"PrometheusExporter",
"configured",
"with",
"args",
"."
] | albertodonato/prometheus-aioexporter | python | https://github.com/albertodonato/prometheus-aioexporter/blob/e1b85544ce72bfaae9182597709a2ecede8c8242/prometheus_aioexporter/script.py#L145-L151 | [
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"host",
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"arg... | e1b85544ce72bfaae9182597709a2ecede8c8242 |
test | MetricsRegistry.create_metrics | Create Prometheus metrics from a list of MetricConfigs. | prometheus_aioexporter/metric.py | def create_metrics(self,
configs: Iterable[MetricConfig]) -> Dict[str, Metric]:
"""Create Prometheus metrics from a list of MetricConfigs."""
metrics: Dict[str, Metric] = {
config.name: self._register_metric(config)
for config in configs
}
s... | def create_metrics(self,
configs: Iterable[MetricConfig]) -> Dict[str, Metric]:
"""Create Prometheus metrics from a list of MetricConfigs."""
metrics: Dict[str, Metric] = {
config.name: self._register_metric(config)
for config in configs
}
s... | [
"Create",
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"a",
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"of",
"MetricConfigs",
"."
] | albertodonato/prometheus-aioexporter | python | https://github.com/albertodonato/prometheus-aioexporter/blob/e1b85544ce72bfaae9182597709a2ecede8c8242/prometheus_aioexporter/metric.py#L80-L88 | [
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"... | e1b85544ce72bfaae9182597709a2ecede8c8242 |
test | MetricsRegistry.get_metric | Return a metric, optionally configured with labels. | prometheus_aioexporter/metric.py | def get_metric(
self, name: str,
labels: Union[Dict[str, str], None] = None) -> Metric:
"""Return a metric, optionally configured with labels."""
metric = self._metrics[name]
if labels:
return metric.labels(**labels)
return metric | def get_metric(
self, name: str,
labels: Union[Dict[str, str], None] = None) -> Metric:
"""Return a metric, optionally configured with labels."""
metric = self._metrics[name]
if labels:
return metric.labels(**labels)
return metric | [
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"optionally",
"configured",
"with",
"labels",
"."
] | albertodonato/prometheus-aioexporter | python | https://github.com/albertodonato/prometheus-aioexporter/blob/e1b85544ce72bfaae9182597709a2ecede8c8242/prometheus_aioexporter/metric.py#L90-L98 | [
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... | e1b85544ce72bfaae9182597709a2ecede8c8242 |
test | PrometheusExporter.run | Run the :class:`aiohttp.web.Application` for the exporter. | prometheus_aioexporter/web.py | def run(self):
"""Run the :class:`aiohttp.web.Application` for the exporter."""
run_app(
self.app,
host=self.host,
port=self.port,
print=lambda *args, **kargs: None,
access_log_format='%a "%r" %s %b "%{Referrer}i" "%{User-Agent}i"') | def run(self):
"""Run the :class:`aiohttp.web.Application` for the exporter."""
run_app(
self.app,
host=self.host,
port=self.port,
print=lambda *args, **kargs: None,
access_log_format='%a "%r" %s %b "%{Referrer}i" "%{User-Agent}i"') | [
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".",
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"for",
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"exporter",
"."
] | albertodonato/prometheus-aioexporter | python | https://github.com/albertodonato/prometheus-aioexporter/blob/e1b85544ce72bfaae9182597709a2ecede8c8242/prometheus_aioexporter/web.py#L62-L69 | [
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"kargs",
":",
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"access_l... | e1b85544ce72bfaae9182597709a2ecede8c8242 |
test | PrometheusExporter._make_application | Setup an :class:`aiohttp.web.Application`. | prometheus_aioexporter/web.py | def _make_application(self) -> Application:
"""Setup an :class:`aiohttp.web.Application`."""
app = Application()
app['exporter'] = self
app.router.add_get('/', self._handle_home)
app.router.add_get('/metrics', self._handle_metrics)
app.on_startup.append(self._log_startup_... | def _make_application(self) -> Application:
"""Setup an :class:`aiohttp.web.Application`."""
app = Application()
app['exporter'] = self
app.router.add_get('/', self._handle_home)
app.router.add_get('/metrics', self._handle_metrics)
app.on_startup.append(self._log_startup_... | [
"Setup",
"an",
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"class",
":",
"aiohttp",
".",
"web",
".",
"Application",
"."
] | albertodonato/prometheus-aioexporter | python | https://github.com/albertodonato/prometheus-aioexporter/blob/e1b85544ce72bfaae9182597709a2ecede8c8242/prometheus_aioexporter/web.py#L71-L78 | [
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"."... | e1b85544ce72bfaae9182597709a2ecede8c8242 |
test | PrometheusExporter._handle_home | Home page request handler. | prometheus_aioexporter/web.py | async def _handle_home(self, request: Request) -> Response:
"""Home page request handler."""
if self.description:
title = f'{self.name} - {self.description}'
else:
title = self.name
text = dedent(
f'''<!DOCTYPE html>
<html>
<... | async def _handle_home(self, request: Request) -> Response:
"""Home page request handler."""
if self.description:
title = f'{self.name} - {self.description}'
else:
title = self.name
text = dedent(
f'''<!DOCTYPE html>
<html>
<... | [
"Home",
"page",
"request",
"handler",
"."
] | albertodonato/prometheus-aioexporter | python | https://github.com/albertodonato/prometheus-aioexporter/blob/e1b85544ce72bfaae9182597709a2ecede8c8242/prometheus_aioexporter/web.py#L84-L106 | [
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".",
"name",
"text",
"=",
... | e1b85544ce72bfaae9182597709a2ecede8c8242 |
test | PrometheusExporter._handle_metrics | Handler for metrics. | prometheus_aioexporter/web.py | async def _handle_metrics(self, request: Request) -> Response:
"""Handler for metrics."""
if self._update_handler:
await self._update_handler(self.registry.get_metrics())
response = Response(body=self.registry.generate_metrics())
response.content_type = CONTENT_TYPE_LATEST
... | async def _handle_metrics(self, request: Request) -> Response:
"""Handler for metrics."""
if self._update_handler:
await self._update_handler(self.registry.get_metrics())
response = Response(body=self.registry.generate_metrics())
response.content_type = CONTENT_TYPE_LATEST
... | [
"Handler",
"for",
"metrics",
"."
] | albertodonato/prometheus-aioexporter | python | https://github.com/albertodonato/prometheus-aioexporter/blob/e1b85544ce72bfaae9182597709a2ecede8c8242/prometheus_aioexporter/web.py#L108-L114 | [
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"registry",
".",
"get_metrics",
"(",
")",
")",... | e1b85544ce72bfaae9182597709a2ecede8c8242 |
test | wa | A free-text query resolver by Wolfram|Alpha. Returns the first
result, if available. | wolframalpha/pmxbot.py | def wa(client, event, channel, nick, rest):
"""
A free-text query resolver by Wolfram|Alpha. Returns the first
result, if available.
"""
client = wolframalpha.Client(pmxbot.config['Wolfram|Alpha API key'])
res = client.query(rest)
return next(res.results).text | def wa(client, event, channel, nick, rest):
"""
A free-text query resolver by Wolfram|Alpha. Returns the first
result, if available.
"""
client = wolframalpha.Client(pmxbot.config['Wolfram|Alpha API key'])
res = client.query(rest)
return next(res.results).text | [
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"by",
"Wolfram|Alpha",
".",
"Returns",
"the",
"first",
"result",
"if",
"available",
"."
] | jaraco/wolframalpha | python | https://github.com/jaraco/wolframalpha/blob/50bf2e047b698e308a9a88770a23e7e210aa5bcb/wolframalpha/pmxbot.py#L11-L18 | [
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"query",
"(",... | 50bf2e047b698e308a9a88770a23e7e210aa5bcb |
test | fix_HTTPMessage | Python 2 uses a deprecated method signature and doesn't provide the
forward compatibility.
Add it. | wolframalpha/compat.py | def fix_HTTPMessage():
"""
Python 2 uses a deprecated method signature and doesn't provide the
forward compatibility.
Add it.
"""
if six.PY3:
return
http_client.HTTPMessage.get_content_type = http_client.HTTPMessage.gettype
http_client.HTTPMessage.get_param = http_client.HTTPMessage.getparam | def fix_HTTPMessage():
"""
Python 2 uses a deprecated method signature and doesn't provide the
forward compatibility.
Add it.
"""
if six.PY3:
return
http_client.HTTPMessage.get_content_type = http_client.HTTPMessage.gettype
http_client.HTTPMessage.get_param = http_client.HTTPMessage.getparam | [
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"compatibility",
".",
"Add",
"it",
"."
] | jaraco/wolframalpha | python | https://github.com/jaraco/wolframalpha/blob/50bf2e047b698e308a9a88770a23e7e210aa5bcb/wolframalpha/compat.py#L5-L15 | [
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".",
"HTTPMessage",
".",
"get_param",
"=",
"http... | 50bf2e047b698e308a9a88770a23e7e210aa5bcb |
test | Client.query | Query Wolfram|Alpha using the v2.0 API
Allows for arbitrary parameters to be passed in
the query. For example, to pass assumptions:
client.query(input='pi', assumption='*C.pi-_*NamedConstant-')
To pass multiple assumptions, pass multiple items
as params:
param... | wolframalpha/__init__.py | def query(self, input, params=(), **kwargs):
"""
Query Wolfram|Alpha using the v2.0 API
Allows for arbitrary parameters to be passed in
the query. For example, to pass assumptions:
client.query(input='pi', assumption='*C.pi-_*NamedConstant-')
To pass multiple assum... | def query(self, input, params=(), **kwargs):
"""
Query Wolfram|Alpha using the v2.0 API
Allows for arbitrary parameters to be passed in
the query. For example, to pass assumptions:
client.query(input='pi', assumption='*C.pi-_*NamedConstant-')
To pass multiple assum... | [
"Query",
"Wolfram|Alpha",
"using",
"the",
"v2",
".",
"0",
"API"
] | jaraco/wolframalpha | python | https://github.com/jaraco/wolframalpha/blob/50bf2e047b698e308a9a88770a23e7e210aa5bcb/wolframalpha/__init__.py#L24-L56 | [
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"itertools",
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"cha... | 50bf2e047b698e308a9a88770a23e7e210aa5bcb |
test | Result.info | The pods, assumptions, and warnings of this result. | wolframalpha/__init__.py | def info(self):
"""
The pods, assumptions, and warnings of this result.
"""
return itertools.chain(self.pods, self.assumptions, self.warnings) | def info(self):
"""
The pods, assumptions, and warnings of this result.
"""
return itertools.chain(self.pods, self.assumptions, self.warnings) | [
"The",
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"assumptions",
"and",
"warnings",
"of",
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"."
] | jaraco/wolframalpha | python | https://github.com/jaraco/wolframalpha/blob/50bf2e047b698e308a9a88770a23e7e210aa5bcb/wolframalpha/__init__.py#L181-L185 | [
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",",
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".",
"warnings",
")"
] | 50bf2e047b698e308a9a88770a23e7e210aa5bcb |
test | Result.results | The pods that hold the response to a simple, discrete query. | wolframalpha/__init__.py | def results(self):
"""
The pods that hold the response to a simple, discrete query.
"""
return (
pod
for pod in self.pods
if pod.primary
or pod.title == 'Result'
) | def results(self):
"""
The pods that hold the response to a simple, discrete query.
"""
return (
pod
for pod in self.pods
if pod.primary
or pod.title == 'Result'
) | [
"The",
"pods",
"that",
"hold",
"the",
"response",
"to",
"a",
"simple",
"discrete",
"query",
"."
] | jaraco/wolframalpha | python | https://github.com/jaraco/wolframalpha/blob/50bf2e047b698e308a9a88770a23e7e210aa5bcb/wolframalpha/__init__.py#L206-L215 | [
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"title",
"==",
"'Result'",
")"
] | 50bf2e047b698e308a9a88770a23e7e210aa5bcb |
test | ApiClient.encode | Add request content data to request body, set Content-type header.
Should be overridden by subclasses if not using JSON encoding.
Args:
request (HTTPRequest): The request object.
data (dict, None): Data to be encoded.
Returns:
HTTPRequest: The request objec... | nerd/client.py | def encode(request, data):
""" Add request content data to request body, set Content-type header.
Should be overridden by subclasses if not using JSON encoding.
Args:
request (HTTPRequest): The request object.
data (dict, None): Data to be encoded.
Returns:
... | def encode(request, data):
""" Add request content data to request body, set Content-type header.
Should be overridden by subclasses if not using JSON encoding.
Args:
request (HTTPRequest): The request object.
data (dict, None): Data to be encoded.
Returns:
... | [
"Add",
"request",
"content",
"data",
"to",
"request",
"body",
"set",
"Content",
"-",
"type",
"header",
"."
] | hirmeos/entity-fishing-client-python | python | https://github.com/hirmeos/entity-fishing-client-python/blob/cd5c6e10c6c4e653669e11d735d5773766986bda/nerd/client.py#L45-L63 | [
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"=",
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"(",
"da... | cd5c6e10c6c4e653669e11d735d5773766986bda |
test | ApiClient.call_api | Call API.
This returns object containing data, with error details if applicable.
Args:
method (str): The HTTP method to use.
url (str): Resource location relative to the base URL.
headers (dict or None): Extra request headers to set.
params (dict or None... | nerd/client.py | def call_api(
self,
method,
url,
headers=None,
params=None,
data=None,
files=None,
timeout=None,
):
""" Call API.
This returns object containing data, with error details if applicable.
Args:
... | def call_api(
self,
method,
url,
headers=None,
params=None,
data=None,
files=None,
timeout=None,
):
""" Call API.
This returns object containing data, with error details if applicable.
Args:
... | [
"Call",
"API",
"."
] | hirmeos/entity-fishing-client-python | python | https://github.com/hirmeos/entity-fishing-client-python/blob/cd5c6e10c6c4e653669e11d735d5773766986bda/nerd/client.py#L93-L141 | [
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"method",
".",
"up... | cd5c6e10c6c4e653669e11d735d5773766986bda |
test | ApiClient.get | Call the API with a GET request.
Args:
url (str): Resource location relative to the base URL.
params (dict or None): Query-string parameters.
Returns:
ResultParser or ErrorParser. | nerd/client.py | def get(self, url, params=None, **kwargs):
""" Call the API with a GET request.
Args:
url (str): Resource location relative to the base URL.
params (dict or None): Query-string parameters.
Returns:
ResultParser or ErrorParser.
"""
return self... | def get(self, url, params=None, **kwargs):
""" Call the API with a GET request.
Args:
url (str): Resource location relative to the base URL.
params (dict or None): Query-string parameters.
Returns:
ResultParser or ErrorParser.
"""
return self... | [
"Call",
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"with",
"a",
"GET",
"request",
"."
] | hirmeos/entity-fishing-client-python | python | https://github.com/hirmeos/entity-fishing-client-python/blob/cd5c6e10c6c4e653669e11d735d5773766986bda/nerd/client.py#L143-L158 | [
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")"
] | cd5c6e10c6c4e653669e11d735d5773766986bda |
test | ApiClient.delete | Call the API with a DELETE request.
Args:
url (str): Resource location relative to the base URL.
params (dict or None): Query-string parameters.
Returns:
ResultParser or ErrorParser. | nerd/client.py | def delete(self, url, params=None, **kwargs):
""" Call the API with a DELETE request.
Args:
url (str): Resource location relative to the base URL.
params (dict or None): Query-string parameters.
Returns:
ResultParser or ErrorParser.
"""
retur... | def delete(self, url, params=None, **kwargs):
""" Call the API with a DELETE request.
Args:
url (str): Resource location relative to the base URL.
params (dict or None): Query-string parameters.
Returns:
ResultParser or ErrorParser.
"""
retur... | [
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] | hirmeos/entity-fishing-client-python | python | https://github.com/hirmeos/entity-fishing-client-python/blob/cd5c6e10c6c4e653669e11d735d5773766986bda/nerd/client.py#L160-L175 | [
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] | cd5c6e10c6c4e653669e11d735d5773766986bda |
test | ApiClient.put | Call the API with a PUT request.
Args:
url (str): Resource location relative to the base URL.
params (dict or None): Query-string parameters.
data (dict or None): Request body contents.
files (dict or None: Files to be passed to the request.
Returns:
... | nerd/client.py | def put(self, url, params=None, data=None, files=None, **kwargs):
""" Call the API with a PUT request.
Args:
url (str): Resource location relative to the base URL.
params (dict or None): Query-string parameters.
data (dict or None): Request body contents.
... | def put(self, url, params=None, data=None, files=None, **kwargs):
""" Call the API with a PUT request.
Args:
url (str): Resource location relative to the base URL.
params (dict or None): Query-string parameters.
data (dict or None): Request body contents.
... | [
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] | hirmeos/entity-fishing-client-python | python | https://github.com/hirmeos/entity-fishing-client-python/blob/cd5c6e10c6c4e653669e11d735d5773766986bda/nerd/client.py#L177-L196 | [
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test | ApiClient.post | Call the API with a POST request.
Args:
url (str): Resource location relative to the base URL.
params (dict or None): Query-string parameters.
data (dict or None): Request body contents.
files (dict or None: Files to be passed to the request.
Returns:
... | nerd/client.py | def post(self, url, params=None, data=None, files=None, **kwargs):
""" Call the API with a POST request.
Args:
url (str): Resource location relative to the base URL.
params (dict or None): Query-string parameters.
data (dict or None): Request body contents.
... | def post(self, url, params=None, data=None, files=None, **kwargs):
""" Call the API with a POST request.
Args:
url (str): Resource location relative to the base URL.
params (dict or None): Query-string parameters.
data (dict or None): Request body contents.
... | [
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] | hirmeos/entity-fishing-client-python | python | https://github.com/hirmeos/entity-fishing-client-python/blob/cd5c6e10c6c4e653669e11d735d5773766986bda/nerd/client.py#L198-L217 | [
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test | NerdClient._process_query | Process query recursively, if the text is too long,
it is split and processed bit a bit.
Args:
query (sdict): Text to be processed.
prepared (bool): True when the query is ready to be submitted via
POST request.
Returns:
str: Body ready to be subm... | nerd/nerd_client.py | def _process_query(self, query, prepared=False):
""" Process query recursively, if the text is too long,
it is split and processed bit a bit.
Args:
query (sdict): Text to be processed.
prepared (bool): True when the query is ready to be submitted via
POST req... | def _process_query(self, query, prepared=False):
""" Process query recursively, if the text is too long,
it is split and processed bit a bit.
Args:
query (sdict): Text to be processed.
prepared (bool): True when the query is ready to be submitted via
POST req... | [
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] | hirmeos/entity-fishing-client-python | python | https://github.com/hirmeos/entity-fishing-client-python/blob/cd5c6e10c6c4e653669e11d735d5773766986bda/nerd/nerd_client.py#L39-L133 | [
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test | NerdClient._group_sentences | Split sentences in groups, given a specific group length.
Args:
total_nb_sentences (int): Total available sentences.
group_length (int): Limit of length for each group.
Returns:
list: Contains groups (lists) of sentences. | nerd/nerd_client.py | def _group_sentences(total_nb_sentences, group_length):
""" Split sentences in groups, given a specific group length.
Args:
total_nb_sentences (int): Total available sentences.
group_length (int): Limit of length for each group.
Returns:
list: Contains group... | def _group_sentences(total_nb_sentences, group_length):
""" Split sentences in groups, given a specific group length.
Args:
total_nb_sentences (int): Total available sentences.
group_length (int): Limit of length for each group.
Returns:
list: Contains group... | [
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] | hirmeos/entity-fishing-client-python | python | https://github.com/hirmeos/entity-fishing-client-python/blob/cd5c6e10c6c4e653669e11d735d5773766986bda/nerd/nerd_client.py#L136-L160 | [
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test | NerdClient.disambiguate_pdf | Call the disambiguation service in order to process a pdf file .
Args:
pdf (file): PDF file to be disambiguated.
language (str): language of text (if known)
Returns:
dict, int: API response and API status. | nerd/nerd_client.py | def disambiguate_pdf(self, file, language=None, entities=None):
""" Call the disambiguation service in order to process a pdf file .
Args:
pdf (file): PDF file to be disambiguated.
language (str): language of text (if known)
Returns:
dict, int: API response ... | def disambiguate_pdf(self, file, language=None, entities=None):
""" Call the disambiguation service in order to process a pdf file .
Args:
pdf (file): PDF file to be disambiguated.
language (str): language of text (if known)
Returns:
dict, int: API response ... | [
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] | hirmeos/entity-fishing-client-python | python | https://github.com/hirmeos/entity-fishing-client-python/blob/cd5c6e10c6c4e653669e11d735d5773766986bda/nerd/nerd_client.py#L162-L202 | [
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"}",
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":",
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"'language'",
"]",
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... | cd5c6e10c6c4e653669e11d735d5773766986bda |
test | NerdClient.disambiguate_terms | Call the disambiguation service in order to get meanings.
Args:
terms (obj): list of objects of term, weight
language (str): language of text, english if not specified
entities (list): list of entities or mentions to be supplied by
the use... | nerd/nerd_client.py | def disambiguate_terms(self, terms, language="en", entities=None):
""" Call the disambiguation service in order to get meanings.
Args:
terms (obj): list of objects of term, weight
language (str): language of text, english if not specified
entities (li... | def disambiguate_terms(self, terms, language="en", entities=None):
""" Call the disambiguation service in order to get meanings.
Args:
terms (obj): list of objects of term, weight
language (str): language of text, english if not specified
entities (li... | [
"Call",
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"disambiguation",
"service",
"in",
"order",
"to",
"get",
"meanings",
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] | hirmeos/entity-fishing-client-python | python | https://github.com/hirmeos/entity-fishing-client-python/blob/cd5c6e10c6c4e653669e11d735d5773766986bda/nerd/nerd_client.py#L204-L243 | [
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",... | cd5c6e10c6c4e653669e11d735d5773766986bda |
test | NerdClient.disambiguate_text | Call the disambiguation service in order to get meanings.
Args:
text (str): Text to be disambiguated.
language (str): language of text (if known)
entities (list): list of entities or mentions to be supplied by
the user.
Returns:
dict, int... | nerd/nerd_client.py | def disambiguate_text(self, text, language=None, entities=None):
""" Call the disambiguation service in order to get meanings.
Args:
text (str): Text to be disambiguated.
language (str): language of text (if known)
entities (list): list of entities or mentions to be ... | def disambiguate_text(self, text, language=None, entities=None):
""" Call the disambiguation service in order to get meanings.
Args:
text (str): Text to be disambiguated.
language (str): language of text (if known)
entities (list): list of entities or mentions to be ... | [
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"service",
"in",
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"get",
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"."
] | hirmeos/entity-fishing-client-python | python | https://github.com/hirmeos/entity-fishing-client-python/blob/cd5c6e10c6c4e653669e11d735d5773766986bda/nerd/nerd_client.py#L245-L276 | [
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":",
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"\"cus... | cd5c6e10c6c4e653669e11d735d5773766986bda |
test | NerdClient.disambiguate_query | Call the disambiguation service in order to disambiguate a search query.
Args:
text (str): Query to be disambiguated.
language (str): language of text (if known)
entities (list): list of entities or mentions to be supplied by
the user.
Returns:
... | nerd/nerd_client.py | def disambiguate_query(self, query, language=None, entities=None):
""" Call the disambiguation service in order to disambiguate a search query.
Args:
text (str): Query to be disambiguated.
language (str): language of text (if known)
entities (list): list of entities ... | def disambiguate_query(self, query, language=None, entities=None):
""" Call the disambiguation service in order to disambiguate a search query.
Args:
text (str): Query to be disambiguated.
language (str): language of text (if known)
entities (list): list of entities ... | [
"Call",
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"service",
"in",
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"to",
"disambiguate",
"a",
"search",
"query",
"."
] | hirmeos/entity-fishing-client-python | python | https://github.com/hirmeos/entity-fishing-client-python/blob/cd5c6e10c6c4e653669e11d735d5773766986bda/nerd/nerd_client.py#L278-L318 | [
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... | cd5c6e10c6c4e653669e11d735d5773766986bda |
test | NerdClient.segment | Call the segmenter in order to split text in sentences.
Args:
text (str): Text to be segmented.
Returns:
dict, int: A dict containing a list of dicts with the offsets of
each sentence; an integer representing the response code. | nerd/nerd_client.py | def segment(self, text):
""" Call the segmenter in order to split text in sentences.
Args:
text (str): Text to be segmented.
Returns:
dict, int: A dict containing a list of dicts with the offsets of
each sentence; an integer representing the response cod... | def segment(self, text):
""" Call the segmenter in order to split text in sentences.
Args:
text (str): Text to be segmented.
Returns:
dict, int: A dict containing a list of dicts with the offsets of
each sentence; an integer representing the response cod... | [
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] | hirmeos/entity-fishing-client-python | python | https://github.com/hirmeos/entity-fishing-client-python/blob/cd5c6e10c6c4e653669e11d735d5773766986bda/nerd/nerd_client.py#L320-L337 | [
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test | NerdClient.get_language | Recognise the language of the text in input
Args:
id (str): The text whose the language needs to be recognised
Returns:
dict, int: A dict containing the recognised language and the
confidence score. | nerd/nerd_client.py | def get_language(self, text):
""" Recognise the language of the text in input
Args:
id (str): The text whose the language needs to be recognised
Returns:
dict, int: A dict containing the recognised language and the
confidence score.
"""
... | def get_language(self, text):
""" Recognise the language of the text in input
Args:
id (str): The text whose the language needs to be recognised
Returns:
dict, int: A dict containing the recognised language and the
confidence score.
"""
... | [
"Recognise",
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"language",
"of",
"the",
"text",
"in",
"input"
] | hirmeos/entity-fishing-client-python | python | https://github.com/hirmeos/entity-fishing-client-python/blob/cd5c6e10c6c4e653669e11d735d5773766986bda/nerd/nerd_client.py#L339-L355 | [
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test | NerdClient.get_concept | Fetch the concept from the Knowledge base
Args:
id (str): The concept id to be fetched, it can be Wikipedia
page id or Wikiedata id.
Returns:
dict, int: A dict containing the concept information; an integer
representing the response code. | nerd/nerd_client.py | def get_concept(self, conceptId, lang='en'):
""" Fetch the concept from the Knowledge base
Args:
id (str): The concept id to be fetched, it can be Wikipedia
page id or Wikiedata id.
Returns:
dict, int: A dict containing the concept information; an inte... | def get_concept(self, conceptId, lang='en'):
""" Fetch the concept from the Knowledge base
Args:
id (str): The concept id to be fetched, it can be Wikipedia
page id or Wikiedata id.
Returns:
dict, int: A dict containing the concept information; an inte... | [
"Fetch",
"the",
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"from",
"the",
"Knowledge",
"base"
] | hirmeos/entity-fishing-client-python | python | https://github.com/hirmeos/entity-fishing-client-python/blob/cd5c6e10c6c4e653669e11d735d5773766986bda/nerd/nerd_client.py#L357-L375 | [
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test | MDREnsemble.fit | Constructs the MDR ensemble from the provided training data
Parameters
----------
features: array-like {n_samples, n_features}
Feature matrix
classes: array-like {n_samples}
List of class labels for prediction
Returns
-------
None | mdr/mdr_ensemble.py | def fit(self, features, classes):
"""Constructs the MDR ensemble from the provided training data
Parameters
----------
features: array-like {n_samples, n_features}
Feature matrix
classes: array-like {n_samples}
List of class labels for prediction
... | def fit(self, features, classes):
"""Constructs the MDR ensemble from the provided training data
Parameters
----------
features: array-like {n_samples, n_features}
Feature matrix
classes: array-like {n_samples}
List of class labels for prediction
... | [
"Constructs",
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"ensemble",
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"provided",
"training",
"data"
] | EpistasisLab/scikit-mdr | python | https://github.com/EpistasisLab/scikit-mdr/blob/768565deb10467d04a960d27e000ab38b7aa8a62/mdr/mdr_ensemble.py#L71-L91 | [
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test | MDREnsemble.score | Estimates the accuracy of the predictions from the MDR ensemble
Parameters
----------
features: array-like {n_samples, n_features}
Feature matrix to predict from
classes: array-like {n_samples}
List of true class labels
Returns
-------
ac... | mdr/mdr_ensemble.py | def score(self, features, classes, scoring_function=None, **scoring_function_kwargs):
"""Estimates the accuracy of the predictions from the MDR ensemble
Parameters
----------
features: array-like {n_samples, n_features}
Feature matrix to predict from
classes: array-l... | def score(self, features, classes, scoring_function=None, **scoring_function_kwargs):
"""Estimates the accuracy of the predictions from the MDR ensemble
Parameters
----------
features: array-like {n_samples, n_features}
Feature matrix to predict from
classes: array-l... | [
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test | MDRBase.fit | Constructs the MDR feature map from the provided training data.
Parameters
----------
features: array-like {n_samples, n_features}
Feature matrix
class_labels: array-like {n_samples}
List of true class labels
Returns
-------
self: A copy ... | mdr/mdr.py | def fit(self, features, class_labels):
"""Constructs the MDR feature map from the provided training data.
Parameters
----------
features: array-like {n_samples, n_features}
Feature matrix
class_labels: array-like {n_samples}
List of true class labels
... | def fit(self, features, class_labels):
"""Constructs the MDR feature map from the provided training data.
Parameters
----------
features: array-like {n_samples, n_features}
Feature matrix
class_labels: array-like {n_samples}
List of true class labels
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test | MDR.fit_transform | Convenience function that fits the provided data then constructs a new feature from the provided features.
Parameters
----------
features: array-like {n_samples, n_features}
Feature matrix
class_labels: array-like {n_samples}
List of true class labels
Re... | mdr/mdr.py | def fit_transform(self, features, class_labels):
"""Convenience function that fits the provided data then constructs a new feature from the provided features.
Parameters
----------
features: array-like {n_samples, n_features}
Feature matrix
class_labels: array-like {... | def fit_transform(self, features, class_labels):
"""Convenience function that fits the provided data then constructs a new feature from the provided features.
Parameters
----------
features: array-like {n_samples, n_features}
Feature matrix
class_labels: array-like {... | [
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test | MDRClassifier.fit_predict | Convenience function that fits the provided data then constructs predictions from the provided features.
Parameters
----------
features: array-like {n_samples, n_features}
Feature matrix
class_labels: array-like {n_samples}
List of true class labels
Retu... | mdr/mdr.py | def fit_predict(self, features, class_labels):
"""Convenience function that fits the provided data then constructs predictions from the provided features.
Parameters
----------
features: array-like {n_samples, n_features}
Feature matrix
class_labels: array-like {n_sa... | def fit_predict(self, features, class_labels):
"""Convenience function that fits the provided data then constructs predictions from the provided features.
Parameters
----------
features: array-like {n_samples, n_features}
Feature matrix
class_labels: array-like {n_sa... | [
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test | MDRClassifier.score | Estimates the accuracy of the predictions from the constructed feature.
Parameters
----------
features: array-like {n_samples, n_features}
Feature matrix to predict from
class_labels: array-like {n_samples}
List of true class labels
Returns
-----... | mdr/mdr.py | def score(self, features, class_labels, scoring_function=None, **scoring_function_kwargs):
"""Estimates the accuracy of the predictions from the constructed feature.
Parameters
----------
features: array-like {n_samples, n_features}
Feature matrix to predict from
cla... | def score(self, features, class_labels, scoring_function=None, **scoring_function_kwargs):
"""Estimates the accuracy of the predictions from the constructed feature.
Parameters
----------
features: array-like {n_samples, n_features}
Feature matrix to predict from
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test | ContinuousMDR.fit | Constructs the Continuous MDR feature map from the provided training data.
Parameters
----------
features: array-like {n_samples, n_features}
Feature matrix
targets: array-like {n_samples}
List of target values for prediction
Returns
-------
... | mdr/continuous_mdr.py | def fit(self, features, targets):
"""Constructs the Continuous MDR feature map from the provided training data.
Parameters
----------
features: array-like {n_samples, n_features}
Feature matrix
targets: array-like {n_samples}
List of target values for pre... | def fit(self, features, targets):
"""Constructs the Continuous MDR feature map from the provided training data.
Parameters
----------
features: array-like {n_samples, n_features}
Feature matrix
targets: array-like {n_samples}
List of target values for pre... | [
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test | ContinuousMDR.transform | Uses the Continuous MDR feature map to construct a new feature from the provided features.
Parameters
----------
features: array-like {n_samples, n_features}
Feature matrix to transform
Returns
----------
array-like: {n_samples}
Constructed featu... | mdr/continuous_mdr.py | def transform(self, features):
"""Uses the Continuous MDR feature map to construct a new feature from the provided features.
Parameters
----------
features: array-like {n_samples, n_features}
Feature matrix to transform
Returns
----------
array-like:... | def transform(self, features):
"""Uses the Continuous MDR feature map to construct a new feature from the provided features.
Parameters
----------
features: array-like {n_samples, n_features}
Feature matrix to transform
Returns
----------
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test | ContinuousMDR.fit_transform | Convenience function that fits the provided data then constructs a new feature from the provided features.
Parameters
----------
features: array-like {n_samples, n_features}
Feature matrix
targets: array-like {n_samples}
List of true target values
Return... | mdr/continuous_mdr.py | def fit_transform(self, features, targets):
"""Convenience function that fits the provided data then constructs a new feature from the provided features.
Parameters
----------
features: array-like {n_samples, n_features}
Feature matrix
targets: array-like {n_samples}... | def fit_transform(self, features, targets):
"""Convenience function that fits the provided data then constructs a new feature from the provided features.
Parameters
----------
features: array-like {n_samples, n_features}
Feature matrix
targets: array-like {n_samples}... | [
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test | ContinuousMDR.score | Estimates the quality of the ContinuousMDR model using a t-statistic.
Parameters
----------
features: array-like {n_samples, n_features}
Feature matrix to predict from
targets: array-like {n_samples}
List of true target values
Returns
-------
... | mdr/continuous_mdr.py | def score(self, features, targets):
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Parameters
----------
features: array-like {n_samples, n_features}
Feature matrix to predict from
targets: array-like {n_samples}
List of true tar... | def score(self, features, targets):
"""Estimates the quality of the ContinuousMDR model using a t-statistic.
Parameters
----------
features: array-like {n_samples, n_features}
Feature matrix to predict from
targets: array-like {n_samples}
List of true tar... | [
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test | entropy | Calculates the entropy, H(X), in the given base
Parameters
----------
X: array-like (# samples)
An array of values for which to compute the entropy
base: integer (default: 2)
The base in which to calculate entropy
Returns
----------
entropy: float
The entropy calcul... | mdr/utils/utils.py | def entropy(X, base=2):
"""Calculates the entropy, H(X), in the given base
Parameters
----------
X: array-like (# samples)
An array of values for which to compute the entropy
base: integer (default: 2)
The base in which to calculate entropy
Returns
----------
entropy: f... | def entropy(X, base=2):
"""Calculates the entropy, H(X), in the given base
Parameters
----------
X: array-like (# samples)
An array of values for which to compute the entropy
base: integer (default: 2)
The base in which to calculate entropy
Returns
----------
entropy: f... | [
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test | joint_entropy | Calculates the joint entropy, H(X,Y), in the given base
Parameters
----------
X: array-like (# samples)
An array of values for which to compute the joint entropy
Y: array-like (# samples)
An array of values for which to compute the joint entropy
base: integer (default: 2)
Th... | mdr/utils/utils.py | def joint_entropy(X, Y, base=2):
"""Calculates the joint entropy, H(X,Y), in the given base
Parameters
----------
X: array-like (# samples)
An array of values for which to compute the joint entropy
Y: array-like (# samples)
An array of values for which to compute the joint entropy
... | def joint_entropy(X, Y, base=2):
"""Calculates the joint entropy, H(X,Y), in the given base
Parameters
----------
X: array-like (# samples)
An array of values for which to compute the joint entropy
Y: array-like (# samples)
An array of values for which to compute the joint entropy
... | [
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] | EpistasisLab/scikit-mdr | python | https://github.com/EpistasisLab/scikit-mdr/blob/768565deb10467d04a960d27e000ab38b7aa8a62/mdr/utils/utils.py#L47-L66 | [
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test | conditional_entropy | Calculates the conditional entropy, H(X|Y), in the given base
Parameters
----------
X: array-like (# samples)
An array of values for which to compute the conditional entropy
Y: array-like (# samples)
An array of values for which to compute the conditional entropy
base: integer (defa... | mdr/utils/utils.py | def conditional_entropy(X, Y, base=2):
"""Calculates the conditional entropy, H(X|Y), in the given base
Parameters
----------
X: array-like (# samples)
An array of values for which to compute the conditional entropy
Y: array-like (# samples)
An array of values for which to compute t... | def conditional_entropy(X, Y, base=2):
"""Calculates the conditional entropy, H(X|Y), in the given base
Parameters
----------
X: array-like (# samples)
An array of values for which to compute the conditional entropy
Y: array-like (# samples)
An array of values for which to compute t... | [
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test | mutual_information | Calculates the mutual information between two variables, I(X;Y), in the given base
Parameters
----------
X: array-like (# samples)
An array of values for which to compute the mutual information
Y: array-like (# samples)
An array of values for which to compute the mutual information
... | mdr/utils/utils.py | def mutual_information(X, Y, base=2):
"""Calculates the mutual information between two variables, I(X;Y), in the given base
Parameters
----------
X: array-like (# samples)
An array of values for which to compute the mutual information
Y: array-like (# samples)
An array of values for... | def mutual_information(X, Y, base=2):
"""Calculates the mutual information between two variables, I(X;Y), in the given base
Parameters
----------
X: array-like (# samples)
An array of values for which to compute the mutual information
Y: array-like (# samples)
An array of values for... | [
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] | EpistasisLab/scikit-mdr | python | https://github.com/EpistasisLab/scikit-mdr/blob/768565deb10467d04a960d27e000ab38b7aa8a62/mdr/utils/utils.py#L88-L106 | [
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test | two_way_information_gain | Calculates the two-way information gain between three variables, I(X;Y;Z), in the given base
IG(X;Y;Z) indicates the information gained about variable Z by the joint variable X_Y, after removing
the information that X and Y have about Z individually. Thus, two-way information gain measures the
synergistic ... | mdr/utils/utils.py | def two_way_information_gain(X, Y, Z, base=2):
"""Calculates the two-way information gain between three variables, I(X;Y;Z), in the given base
IG(X;Y;Z) indicates the information gained about variable Z by the joint variable X_Y, after removing
the information that X and Y have about Z individually. Thus, ... | def two_way_information_gain(X, Y, Z, base=2):
"""Calculates the two-way information gain between three variables, I(X;Y;Z), in the given base
IG(X;Y;Z) indicates the information gained about variable Z by the joint variable X_Y, after removing
the information that X and Y have about Z individually. Thus, ... | [
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test | three_way_information_gain | Calculates the three-way information gain between three variables, I(W;X;Y;Z), in the given base
IG(W;X;Y;Z) indicates the information gained about variable Z by the joint variable W_X_Y, after removing
the information that W, X, and Y have about Z individually and jointly in pairs. Thus, 3-way information gai... | mdr/utils/utils.py | def three_way_information_gain(W, X, Y, Z, base=2):
"""Calculates the three-way information gain between three variables, I(W;X;Y;Z), in the given base
IG(W;X;Y;Z) indicates the information gained about variable Z by the joint variable W_X_Y, after removing
the information that W, X, and Y have about Z ind... | def three_way_information_gain(W, X, Y, Z, base=2):
"""Calculates the three-way information gain between three variables, I(W;X;Y;Z), in the given base
IG(W;X;Y;Z) indicates the information gained about variable Z by the joint variable W_X_Y, after removing
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test | _mdr_predict | Fits a MDR model to variables X and Y with the given labels, then returns the resulting predictions
This is a convenience method that should only be used internally.
Parameters
----------
X: array-like (# samples)
An array of values corresponding to one feature in the MDR model
Y: array-li... | mdr/utils/utils.py | def _mdr_predict(X, Y, labels):
"""Fits a MDR model to variables X and Y with the given labels, then returns the resulting predictions
This is a convenience method that should only be used internally.
Parameters
----------
X: array-like (# samples)
An array of values corresponding to one f... | def _mdr_predict(X, Y, labels):
"""Fits a MDR model to variables X and Y with the given labels, then returns the resulting predictions
This is a convenience method that should only be used internally.
Parameters
----------
X: array-like (# samples)
An array of values corresponding to one f... | [
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",",
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")",
")",
",",
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")"
] | 768565deb10467d04a960d27e000ab38b7aa8a62 |
test | mdr_entropy | Calculates the MDR entropy, H(XY), in the given base
MDR entropy is calculated by combining variables X and Y into a single MDR model then calculating
the entropy of the resulting model's predictions.
Parameters
----------
X: array-like (# samples)
An array of values corresponding to one f... | mdr/utils/utils.py | def mdr_entropy(X, Y, labels, base=2):
"""Calculates the MDR entropy, H(XY), in the given base
MDR entropy is calculated by combining variables X and Y into a single MDR model then calculating
the entropy of the resulting model's predictions.
Parameters
----------
X: array-like (# samples)
... | def mdr_entropy(X, Y, labels, base=2):
"""Calculates the MDR entropy, H(XY), in the given base
MDR entropy is calculated by combining variables X and Y into a single MDR model then calculating
the entropy of the resulting model's predictions.
Parameters
----------
X: array-like (# samples)
... | [
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] | EpistasisLab/scikit-mdr | python | https://github.com/EpistasisLab/scikit-mdr/blob/768565deb10467d04a960d27e000ab38b7aa8a62/mdr/utils/utils.py#L195-L218 | [
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] | 768565deb10467d04a960d27e000ab38b7aa8a62 |
test | mdr_conditional_entropy | Calculates the MDR conditional entropy, H(XY|labels), in the given base
MDR conditional entropy is calculated by combining variables X and Y into a single MDR model then calculating
the entropy of the resulting model's predictions conditional on the provided labels.
Parameters
----------
X: array-... | mdr/utils/utils.py | def mdr_conditional_entropy(X, Y, labels, base=2):
"""Calculates the MDR conditional entropy, H(XY|labels), in the given base
MDR conditional entropy is calculated by combining variables X and Y into a single MDR model then calculating
the entropy of the resulting model's predictions conditional on the pro... | def mdr_conditional_entropy(X, Y, labels, base=2):
"""Calculates the MDR conditional entropy, H(XY|labels), in the given base
MDR conditional entropy is calculated by combining variables X and Y into a single MDR model then calculating
the entropy of the resulting model's predictions conditional on the pro... | [
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"MDR",
"conditional",
"entropy",
"H",
"(",
"XY|labels",
")",
"in",
"the",
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] | EpistasisLab/scikit-mdr | python | https://github.com/EpistasisLab/scikit-mdr/blob/768565deb10467d04a960d27e000ab38b7aa8a62/mdr/utils/utils.py#L220-L243 | [
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",",
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")"
] | 768565deb10467d04a960d27e000ab38b7aa8a62 |
test | mdr_mutual_information | Calculates the MDR mutual information, I(XY;labels), in the given base
MDR mutual information is calculated by combining variables X and Y into a single MDR model then calculating
the mutual information between the resulting model's predictions and the labels.
Parameters
----------
X: array-like (... | mdr/utils/utils.py | def mdr_mutual_information(X, Y, labels, base=2):
"""Calculates the MDR mutual information, I(XY;labels), in the given base
MDR mutual information is calculated by combining variables X and Y into a single MDR model then calculating
the mutual information between the resulting model's predictions and the l... | def mdr_mutual_information(X, Y, labels, base=2):
"""Calculates the MDR mutual information, I(XY;labels), in the given base
MDR mutual information is calculated by combining variables X and Y into a single MDR model then calculating
the mutual information between the resulting model's predictions and the l... | [
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"the",
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"mutual",
"information",
"I",
"(",
"XY",
";",
"labels",
")",
"in",
"the",
"given",
"base"
] | EpistasisLab/scikit-mdr | python | https://github.com/EpistasisLab/scikit-mdr/blob/768565deb10467d04a960d27e000ab38b7aa8a62/mdr/utils/utils.py#L245-L268 | [
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",",
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")"
] | 768565deb10467d04a960d27e000ab38b7aa8a62 |
test | n_way_models | Fits a MDR model to all n-way combinations of the features in X.
Note that this function performs an exhaustive search through all feature combinations and can be computationally expensive.
Parameters
----------
mdr_instance: object
An instance of the MDR type to use.
X: array-like (# rows... | mdr/utils/utils.py | def n_way_models(mdr_instance, X, y, n=[2], feature_names=None):
"""Fits a MDR model to all n-way combinations of the features in X.
Note that this function performs an exhaustive search through all feature combinations and can be computationally expensive.
Parameters
----------
mdr_instance: obje... | def n_way_models(mdr_instance, X, y, n=[2], feature_names=None):
"""Fits a MDR model to all n-way combinations of the features in X.
Note that this function performs an exhaustive search through all feature combinations and can be computationally expensive.
Parameters
----------
mdr_instance: obje... | [
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"-",
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"combinations",
"of",
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"X",
"."
] | EpistasisLab/scikit-mdr | python | https://github.com/EpistasisLab/scikit-mdr/blob/768565deb10467d04a960d27e000ab38b7aa8a62/mdr/utils/utils.py#L270-L307 | [
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"shape",
... | 768565deb10467d04a960d27e000ab38b7aa8a62 |
test | plot_mdr_grid | Visualizes the MDR grid of a given fitted MDR instance. Only works for 2-way MDR models.
This function is currently incomplete.
Parameters
----------
mdr_instance: object
A fitted instance of the MDR type to visualize.
Returns
----------
fig: matplotlib.figure
Figure o... | mdr/utils/utils.py | def plot_mdr_grid(mdr_instance):
"""Visualizes the MDR grid of a given fitted MDR instance. Only works for 2-way MDR models.
This function is currently incomplete.
Parameters
----------
mdr_instance: object
A fitted instance of the MDR type to visualize.
Returns
----------
... | def plot_mdr_grid(mdr_instance):
"""Visualizes the MDR grid of a given fitted MDR instance. Only works for 2-way MDR models.
This function is currently incomplete.
Parameters
----------
mdr_instance: object
A fitted instance of the MDR type to visualize.
Returns
----------
... | [
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"MDR",
"models",
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] | EpistasisLab/scikit-mdr | python | https://github.com/EpistasisLab/scikit-mdr/blob/768565deb10467d04a960d27e000ab38b7aa8a62/mdr/utils/utils.py#L309-L363 | [
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"(",... | 768565deb10467d04a960d27e000ab38b7aa8a62 |
test | makemigrations | 等价于 django makemigrations 操作 | fantasy/cli.py | def makemigrations(migrations_root):
"""等价于 django makemigrations 操作"""
from flask_migrate import (Migrate, init as migrate_init,
migrate as migrate_exec)
migrations_root = migrations_root or os.path.join(
os.environ.get('FANTASY_MIGRATION_PATH',
... | def makemigrations(migrations_root):
"""等价于 django makemigrations 操作"""
from flask_migrate import (Migrate, init as migrate_init,
migrate as migrate_exec)
migrations_root = migrations_root or os.path.join(
os.environ.get('FANTASY_MIGRATION_PATH',
... | [
"等价于",
"django",
"makemigrations",
"操作"
] | wangwenpei/fantasy | python | https://github.com/wangwenpei/fantasy/blob/0fe92059bd868f14da84235beb05b217b1d46e4a/fantasy/cli.py#L29-L77 | [
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... | 0fe92059bd868f14da84235beb05b217b1d46e4a |
test | migrate | 等价于 django migrate 操作 | fantasy/cli.py | def migrate(migrations_root):
"""等价于 django migrate 操作"""
from flask_migrate import Migrate, upgrade as migrate_upgrade
from flask_sqlalchemy import SQLAlchemy
from sqlalchemy.engine.url import make_url
from sqlalchemy_utils import database_exists, create_database
db = SQLAlchemy()
dsn = ma... | def migrate(migrations_root):
"""等价于 django migrate 操作"""
from flask_migrate import Migrate, upgrade as migrate_upgrade
from flask_sqlalchemy import SQLAlchemy
from sqlalchemy.engine.url import make_url
from sqlalchemy_utils import database_exists, create_database
db = SQLAlchemy()
dsn = ma... | [
"等价于",
"django",
"migrate",
"操作"
] | wangwenpei/fantasy | python | https://github.com/wangwenpei/fantasy/blob/0fe92059bd868f14da84235beb05b217b1d46e4a/fantasy/cli.py#L83-L110 | [
"def",
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"make_url",
"f... | 0fe92059bd868f14da84235beb05b217b1d46e4a |
test | requirements | 编译全新依赖文件 | fantasy/cli.py | def requirements(work_dir, hive_root, with_requirements,
with_dockerfile, active_module, active_module_file):
"""编译全新依赖文件"""
import sys
sys.path.insert(0, hive_root)
hive_root = os.path.abspath(os.path.expanduser(hive_root))
work_dir = work_dir or os.path.join(
os.environ.... | def requirements(work_dir, hive_root, with_requirements,
with_dockerfile, active_module, active_module_file):
"""编译全新依赖文件"""
import sys
sys.path.insert(0, hive_root)
hive_root = os.path.abspath(os.path.expanduser(hive_root))
work_dir = work_dir or os.path.join(
os.environ.... | [
"编译全新依赖文件"
] | wangwenpei/fantasy | python | https://github.com/wangwenpei/fantasy/blob/0fe92059bd868f14da84235beb05b217b1d46e4a/fantasy/cli.py#L124-L314 | [
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"hive_ro... | 0fe92059bd868f14da84235beb05b217b1d46e4a |
test | queue | 启动队列服务[开发中] | fantasy/cli.py | def queue(celery_arguments):
"""启动队列服务[开发中]"""
if not app.celery:
return click.echo(
click.style('No celery config found，skip start...', fg='yellow'))
celery = app.celery
celery.autodiscover_tasks()
argv = celery_arguments.split()
argv.insert(0, 'worker')
argv.insert(0... | def queue(celery_arguments):
"""启动队列服务[开发中]"""
if not app.celery:
return click.echo(
click.style('No celery config found，skip start...', fg='yellow'))
celery = app.celery
celery.autodiscover_tasks()
argv = celery_arguments.split()
argv.insert(0, 'worker')
argv.insert(0... | [
"启动队列服务",
"[",
"开发中",
"]"
] | wangwenpei/fantasy | python | https://github.com/wangwenpei/fantasy/blob/0fe92059bd868f14da84235beb05b217b1d46e4a/fantasy/cli.py#L321-L335 | [
"def",
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"",
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"app"... | 0fe92059bd868f14da84235beb05b217b1d46e4a |
test | smart_database | 尝试对数据库做初始化操作 | fantasy/__init__.py | def smart_database(app):
"""尝试对数据库做初始化操作"""
from sqlalchemy.engine.url import make_url
from sqlalchemy_utils import database_exists, create_database
# 如果数据库不存在，则尝试创建数据
dsn = make_url(app.config['SQLALCHEMY_DATABASE_URI'])
if not database_exists(dsn):
create_database(dsn)
pass
... | def smart_database(app):
"""尝试对数据库做初始化操作"""
from sqlalchemy.engine.url import make_url
from sqlalchemy_utils import database_exists, create_database
# 如果数据库不存在，则尝试创建数据
dsn = make_url(app.config['SQLALCHEMY_DATABASE_URI'])
if not database_exists(dsn):
create_database(dsn)
pass
... | [
"尝试对数据库做初始化操作"
] | wangwenpei/fantasy | python | https://github.com/wangwenpei/fantasy/blob/0fe92059bd868f14da84235beb05b217b1d46e4a/fantasy/__init__.py#L50-L61 | [
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"dsn",
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... | 0fe92059bd868f14da84235beb05b217b1d46e4a |
test | smart_migrate | 如果存在migration且指定为primary_node则执行migrate操作 | fantasy/__init__.py | def smart_migrate(app, migrations_root):
"""如果存在migration且指定为primary_node则执行migrate操作"""
db = app.db
if os.path.exists(migrations_root) and \
os.environ['FANTASY_PRIMARY_NODE'] != 'no':
from flask_migrate import (Migrate,
upgrade as migrate_upgrade)
... | def smart_migrate(app, migrations_root):
"""如果存在migration且指定为primary_node则执行migrate操作"""
db = app.db
if os.path.exists(migrations_root) and \
os.environ['FANTASY_PRIMARY_NODE'] != 'no':
from flask_migrate import (Migrate,
upgrade as migrate_upgrade)
... | [
"如果存在migration且指定为primary_node则执行migrate操作"
] | wangwenpei/fantasy | python | https://github.com/wangwenpei/fantasy/blob/0fe92059bd868f14da84235beb05b217b1d46e4a/fantasy/__init__.py#L64-L77 | [
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"smart_migrate",
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... | 0fe92059bd868f14da84235beb05b217b1d46e4a |
test | smart_account | 尝试使用内置方式构建账户 | fantasy/__init__.py | def smart_account(app):
"""尝试使用内置方式构建账户"""
if os.environ['FANTASY_ACTIVE_ACCOUNT'] == 'no':
return
from flask_security import SQLAlchemyUserDatastore, Security
account_module_name, account_class_name = os.environ[
'FANTASY_ACCOUNT_MODEL'].rsplit('.', 1)
account_module = importlib.... | def smart_account(app):
"""尝试使用内置方式构建账户"""
if os.environ['FANTASY_ACTIVE_ACCOUNT'] == 'no':
return
from flask_security import SQLAlchemyUserDatastore, Security
account_module_name, account_class_name = os.environ[
'FANTASY_ACCOUNT_MODEL'].rsplit('.', 1)
account_module = importlib.... | [
"尝试使用内置方式构建账户"
] | wangwenpei/fantasy | python | https://github.com/wangwenpei/fantasy/blob/0fe92059bd868f14da84235beb05b217b1d46e4a/fantasy/__init__.py#L80-L105 | [
"def",
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",",
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"account_module_name",
",",
"account_class_na... | 0fe92059bd868f14da84235beb05b217b1d46e4a |
test | load_tasks | 装载任务，解决celery无法自动装载的问题 | fantasy/__init__.py | def load_tasks(app, entry_file=None):
"""装载任务，解决celery无法自动装载的问题"""
from celery import Task
tasks_txt = os.path.join(os.path.dirname(entry_file), 'migrations',
'tasks.txt')
if not os.path.exists(tasks_txt):
import sys
print('Tasks file not found:%s' % tasks_t... | def load_tasks(app, entry_file=None):
"""装载任务，解决celery无法自动装载的问题"""
from celery import Task
tasks_txt = os.path.join(os.path.dirname(entry_file), 'migrations',
'tasks.txt')
if not os.path.exists(tasks_txt):
import sys
print('Tasks file not found:%s' % tasks_t... | [
"装载任务，解决celery无法自动装载的问题"
] | wangwenpei/fantasy | python | https://github.com/wangwenpei/fantasy/blob/0fe92059bd868f14da84235beb05b217b1d46e4a/fantasy/__init__.py#L141-L171 | [
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... | 0fe92059bd868f14da84235beb05b217b1d46e4a |
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