body_hash stringlengths 64 64 | body stringlengths 23 109k | docstring stringlengths 1 57k | path stringlengths 4 198 | name stringlengths 1 115 | repository_name stringlengths 7 111 | repository_stars float64 0 191k | lang stringclasses 1
value | body_without_docstring stringlengths 14 108k | unified stringlengths 45 133k |
|---|---|---|---|---|---|---|---|---|---|
6dad94e54ecdebe942218e0c4c84366feb2e5a6872b714ec1b6a5b78c3330914 | async def retrieve_metadata_document(self, metadata_url):
'\n Retrieve the remote metadata document and make any necessary\n transformations on it.\n\n Parameters\n ----------\n metadata_url : str\n URL of remote metadata document\n identifier : str\n ... | Retrieve the remote metadata document and make any necessary
transformations on it.
Parameters
----------
metadata_url : str
URL of remote metadata document
identifier : str
ID from JSON-LD description
Returns
-------
the ElementTree object corresponding to the XML document | schema_org/schema_org/core.py | retrieve_metadata_document | DataONEorg/d1_ncei_adapter | 1 | python | async def retrieve_metadata_document(self, metadata_url):
'\n Retrieve the remote metadata document and make any necessary\n transformations on it.\n\n Parameters\n ----------\n metadata_url : str\n URL of remote metadata document\n identifier : str\n ... | async def retrieve_metadata_document(self, metadata_url):
'\n Retrieve the remote metadata document and make any necessary\n transformations on it.\n\n Parameters\n ----------\n metadata_url : str\n URL of remote metadata document\n identifier : str\n ... |
c8677e176c121676c34a87cc210a08bb2a6802012d7321a5a880d34fc71d9dcb | async def consume_sitemap(self, idx, sitemap_queue):
'\n In a producer/consumer paradigm, here we are consuming work items\n from the sitemap.\n\n Parameters\n ----------\n idx: int\n The only purpose for this is to identify the consumer in the logs.\n sitemap_q... | In a producer/consumer paradigm, here we are consuming work items
from the sitemap.
Parameters
----------
idx: int
The only purpose for this is to identify the consumer in the logs.
sitemap_queue : asyncio.Queue
Holds jobs associated with the sitemap. Each job includes, among
other things, a URL and a mo... | schema_org/schema_org/core.py | consume_sitemap | DataONEorg/d1_ncei_adapter | 1 | python | async def consume_sitemap(self, idx, sitemap_queue):
'\n In a producer/consumer paradigm, here we are consuming work items\n from the sitemap.\n\n Parameters\n ----------\n idx: int\n The only purpose for this is to identify the consumer in the logs.\n sitemap_q... | async def consume_sitemap(self, idx, sitemap_queue):
'\n In a producer/consumer paradigm, here we are consuming work items\n from the sitemap.\n\n Parameters\n ----------\n idx: int\n The only purpose for this is to identify the consumer in the logs.\n sitemap_q... |
f5381eb49dde041f6595b44a5a9ba192a448615e803c37424ed3154413adc6ec | async def process_job(self, job):
'\n Now that we have the record, validate and harvest it.\n\n Parameters\n ----------\n job : SlenderNodeJob\n Record containing at least the following attributes: landing page\n URL, last document modification time according to the... | Now that we have the record, validate and harvest it.
Parameters
----------
job : SlenderNodeJob
Record containing at least the following attributes: landing page
URL, last document modification time according to the site map. | schema_org/schema_org/core.py | process_job | DataONEorg/d1_ncei_adapter | 1 | python | async def process_job(self, job):
'\n Now that we have the record, validate and harvest it.\n\n Parameters\n ----------\n job : SlenderNodeJob\n Record containing at least the following attributes: landing page\n URL, last document modification time according to the... | async def process_job(self, job):
'\n Now that we have the record, validate and harvest it.\n\n Parameters\n ----------\n job : SlenderNodeJob\n Record containing at least the following attributes: landing page\n URL, last document modification time according to the... |
befa4d3ef1fed6bb11bbfc55e9cd07f757ceaff0db4718e48ee2ebf0b58de4ff | def validate_document(self, doc):
'\n Verify that the format ID we have for the document is correct.\n\n Parameters\n ----------\n doc : bytes\n serialized version of XML metadata document\n '
format_id = self.sys_meta_dict['formatId_custom']
try:
d1_sci... | Verify that the format ID we have for the document is correct.
Parameters
----------
doc : bytes
serialized version of XML metadata document | schema_org/schema_org/core.py | validate_document | DataONEorg/d1_ncei_adapter | 1 | python | def validate_document(self, doc):
'\n Verify that the format ID we have for the document is correct.\n\n Parameters\n ----------\n doc : bytes\n serialized version of XML metadata document\n '
format_id = self.sys_meta_dict['formatId_custom']
try:
d1_sci... | def validate_document(self, doc):
'\n Verify that the format ID we have for the document is correct.\n\n Parameters\n ----------\n doc : bytes\n serialized version of XML metadata document\n '
format_id = self.sys_meta_dict['formatId_custom']
try:
d1_sci... |
ae93fd515b2aa782c6dcd65b7b9729378b03296ced85c1564cecd8cac8497099 | async def retrieve_record(self, document_url):
'\n Parameters\n ----------\n document_url : str\n URL for a remote document, could be a landing page, could be an\n XML document\n\n Returns\n -------\n identifier : str\n Ideally this is a DOI... | Parameters
----------
document_url : str
URL for a remote document, could be a landing page, could be an
XML document
Returns
-------
identifier : str
Ideally this is a DOI, but here it is a UUID.
doc : ElementTree
Metadata document | schema_org/schema_org/core.py | retrieve_record | DataONEorg/d1_ncei_adapter | 1 | python | async def retrieve_record(self, document_url):
'\n Parameters\n ----------\n document_url : str\n URL for a remote document, could be a landing page, could be an\n XML document\n\n Returns\n -------\n identifier : str\n Ideally this is a DOI... | async def retrieve_record(self, document_url):
'\n Parameters\n ----------\n document_url : str\n URL for a remote document, could be a landing page, could be an\n XML document\n\n Returns\n -------\n identifier : str\n Ideally this is a DOI... |
07552ae0cadb67719c38d6eb84e0a967e17c8423b7525752f2ee5b7c81105694 | async def process_sitemap(self, sitemap_url, last_harvest):
'\n Determine if the sitemap (or RSS feed or whatever) is an index file\n or whether it is a single document. If an index file, we need to\n descend recursively into it.\n\n Parameters\n ----------\n sitemap_url :... | Determine if the sitemap (or RSS feed or whatever) is an index file
or whether it is a single document. If an index file, we need to
descend recursively into it.
Parameters
----------
sitemap_url : str
URL for a sitemap or sitemap index file
last_harvest : datetime
According to the MN, this is the last time w... | schema_org/schema_org/core.py | process_sitemap | DataONEorg/d1_ncei_adapter | 1 | python | async def process_sitemap(self, sitemap_url, last_harvest):
'\n Determine if the sitemap (or RSS feed or whatever) is an index file\n or whether it is a single document. If an index file, we need to\n descend recursively into it.\n\n Parameters\n ----------\n sitemap_url :... | async def process_sitemap(self, sitemap_url, last_harvest):
'\n Determine if the sitemap (or RSS feed or whatever) is an index file\n or whether it is a single document. If an index file, we need to\n descend recursively into it.\n\n Parameters\n ----------\n sitemap_url :... |
00e57a199f1b05802821b73bc12f1baa8999752039d9e2cba6bcfb99a7309f42 | async def get_sitemap_document(self, sitemap_url):
'\n Retrieve a remote sitemap document.\n\n Parameters\n ---------\n sitemap_url : str\n URL for a sitemap or sitemap index file.\n '
self.logger.info(f'Requesting sitemap document from {sitemap_url}')
try:
... | Retrieve a remote sitemap document.
Parameters
---------
sitemap_url : str
URL for a sitemap or sitemap index file. | schema_org/schema_org/core.py | get_sitemap_document | DataONEorg/d1_ncei_adapter | 1 | python | async def get_sitemap_document(self, sitemap_url):
'\n Retrieve a remote sitemap document.\n\n Parameters\n ---------\n sitemap_url : str\n URL for a sitemap or sitemap index file.\n '
self.logger.info(f'Requesting sitemap document from {sitemap_url}')
try:
... | async def get_sitemap_document(self, sitemap_url):
'\n Retrieve a remote sitemap document.\n\n Parameters\n ---------\n sitemap_url : str\n URL for a sitemap or sitemap index file.\n '
self.logger.info(f'Requesting sitemap document from {sitemap_url}')
try:
... |
5084072162c1cd8de089f8fa4e284308dbf5c6f7e373114da4fbe7d7261d2b0d | async def process_sitemap_leaf(self, doc, last_harvest):
'\n We are at a sitemap leaf, i.e. the sitemap does not reference other\n sitemaps. This is where we can retrieve landing pages instead of\n other sitemaps.\n\n Parameters\n ----------\n doc : ElementTree object\n ... | We are at a sitemap leaf, i.e. the sitemap does not reference other
sitemaps. This is where we can retrieve landing pages instead of
other sitemaps.
Parameters
----------
doc : ElementTree object
Describes the sitemap leaf.
last_harvest : datetime
According to the MN, this is the last time we, uh, harvested a... | schema_org/schema_org/core.py | process_sitemap_leaf | DataONEorg/d1_ncei_adapter | 1 | python | async def process_sitemap_leaf(self, doc, last_harvest):
'\n We are at a sitemap leaf, i.e. the sitemap does not reference other\n sitemaps. This is where we can retrieve landing pages instead of\n other sitemaps.\n\n Parameters\n ----------\n doc : ElementTree object\n ... | async def process_sitemap_leaf(self, doc, last_harvest):
'\n We are at a sitemap leaf, i.e. the sitemap does not reference other\n sitemaps. This is where we can retrieve landing pages instead of\n other sitemaps.\n\n Parameters\n ----------\n doc : ElementTree object\n ... |
2696cd3adf18d48a0469d65fe8f51e49052d1c77b4f7fbc03022beecee810607 | def get_joke():
'Returns a joke from the WebKnox one liner API.\n\n Returns None if unable to retrieve a joke.\n '
headers = {'Accept': 'application/json'}
page = requests.get('https://icanhazdadjoke.com', headers=headers)
if (page.status_code == 200):
joke = json.loads(page.content.decode... | Returns a joke from the WebKnox one liner API.
Returns None if unable to retrieve a joke. | laughs/services/dadjokes.py | get_joke | seancallaway/laughs | 0 | python | def get_joke():
'Returns a joke from the WebKnox one liner API.\n\n Returns None if unable to retrieve a joke.\n '
headers = {'Accept': 'application/json'}
page = requests.get('https://icanhazdadjoke.com', headers=headers)
if (page.status_code == 200):
joke = json.loads(page.content.decode... | def get_joke():
'Returns a joke from the WebKnox one liner API.\n\n Returns None if unable to retrieve a joke.\n '
headers = {'Accept': 'application/json'}
page = requests.get('https://icanhazdadjoke.com', headers=headers)
if (page.status_code == 200):
joke = json.loads(page.content.decode... |
c77365c637ac1afb1c1d36a0d78a367719ef501ca33b4e95c0607f1a2ad1901a | @property
def cursor(self) -> Position:
'\n The cursor position of the 1st selection.\n '
return self.selection.active | The cursor position of the 1st selection. | vscode/window.py | cursor | TTitcombe/vscode-ext | 140 | python | @property
def cursor(self) -> Position:
'\n \n '
return self.selection.active | @property
def cursor(self) -> Position:
'\n \n '
return self.selection.active<|docstring|>The cursor position of the 1st selection.<|endoftext|> |
31461040ae3a5d0a1f8de8636dcc77bedae46ad8f9b839b004f80c29e657894d | def read_data(fp='../data/pmadata.csv'):
'\n Read clinic data from a csv into a pandas dataframe.\n\n :param str fp: the file path of the csv file\n '
return pd.read_csv(fp) | Read clinic data from a csv into a pandas dataframe.
:param str fp: the file path of the csv file | pmareport/predictors.py | read_data | gautsi/pmareport | 0 | python | def read_data(fp='../data/pmadata.csv'):
'\n Read clinic data from a csv into a pandas dataframe.\n\n :param str fp: the file path of the csv file\n '
return pd.read_csv(fp) | def read_data(fp='../data/pmadata.csv'):
'\n Read clinic data from a csv into a pandas dataframe.\n\n :param str fp: the file path of the csv file\n '
return pd.read_csv(fp)<|docstring|>Read clinic data from a csv into a pandas dataframe.
:param str fp: the file path of the csv file<|endoftext|> |
c97eee076903c4d6163e8e4216bfedf26a7b53a7674efc813df4003d83a135e0 | def percent_within(y_true, y_pred, thresh=5):
'\n Calculate the percentage of predictions are within\n `thresh` of the true value.\n\n :param array-like y_true: the true values\n :param array-like y_pred: the predicted values\n :param float thresh: the threshold for a close prediction\n\n :returns... | Calculate the percentage of predictions are within
`thresh` of the true value.
:param array-like y_true: the true values
:param array-like y_pred: the predicted values
:param float thresh: the threshold for a close prediction
:returns:
the percent of predictions within the treshold from the true value
:rtype: flo... | pmareport/predictors.py | percent_within | gautsi/pmareport | 0 | python | def percent_within(y_true, y_pred, thresh=5):
'\n Calculate the percentage of predictions are within\n `thresh` of the true value.\n\n :param array-like y_true: the true values\n :param array-like y_pred: the predicted values\n :param float thresh: the threshold for a close prediction\n\n :returns... | def percent_within(y_true, y_pred, thresh=5):
'\n Calculate the percentage of predictions are within\n `thresh` of the true value.\n\n :param array-like y_true: the true values\n :param array-like y_pred: the predicted values\n :param float thresh: the threshold for a close prediction\n\n :returns... |
ae6e021b660226d2641167800b542dba7fd2a8603ec434115beb2f6483ae0048 | def make_int(self, col):
'\n Encode categorical variables of type other than int\n as ints for input into the decision tree.\n\n :param str col: the name of the column with categorical values\n '
categories = list(set(self.df[col]))
int_func = (lambda x: categories.index(x))
... | Encode categorical variables of type other than int
as ints for input into the decision tree.
:param str col: the name of the column with categorical values | pmareport/predictors.py | make_int | gautsi/pmareport | 0 | python | def make_int(self, col):
'\n Encode categorical variables of type other than int\n as ints for input into the decision tree.\n\n :param str col: the name of the column with categorical values\n '
categories = list(set(self.df[col]))
int_func = (lambda x: categories.index(x))
... | def make_int(self, col):
'\n Encode categorical variables of type other than int\n as ints for input into the decision tree.\n\n :param str col: the name of the column with categorical values\n '
categories = list(set(self.df[col]))
int_func = (lambda x: categories.index(x))
... |
ce8ce04ef68fb32d601b01790c27f7e156aef21c4d92db45cd259cd57f570dd4 | def train_test(self, test_size=0.1):
'\n Split the data into train and test sets.\n\n :param float test_size: the percentage of rows to leave out as test\n '
(self.train, self.test) = cross_validation.train_test_split(self.df, test_size=test_size)
self.Xtrain = self.train[self.feat_cols... | Split the data into train and test sets.
:param float test_size: the percentage of rows to leave out as test | pmareport/predictors.py | train_test | gautsi/pmareport | 0 | python | def train_test(self, test_size=0.1):
'\n Split the data into train and test sets.\n\n :param float test_size: the percentage of rows to leave out as test\n '
(self.train, self.test) = cross_validation.train_test_split(self.df, test_size=test_size)
self.Xtrain = self.train[self.feat_cols... | def train_test(self, test_size=0.1):
'\n Split the data into train and test sets.\n\n :param float test_size: the percentage of rows to leave out as test\n '
(self.train, self.test) = cross_validation.train_test_split(self.df, test_size=test_size)
self.Xtrain = self.train[self.feat_cols... |
0fbbfd19a8970a98e3fe68cb51d7d1aa9689fe06be8e697be6a1964fc5a3b37b | def make_model(self, max_depth=3):
'\n Make the model, a decision tree with maximum depth `max_depth`.\n\n :param max_depth: the maximum depth of the decision tree\n '
self.model = tree.DecisionTreeRegressor(max_depth=max_depth) | Make the model, a decision tree with maximum depth `max_depth`.
:param max_depth: the maximum depth of the decision tree | pmareport/predictors.py | make_model | gautsi/pmareport | 0 | python | def make_model(self, max_depth=3):
'\n Make the model, a decision tree with maximum depth `max_depth`.\n\n :param max_depth: the maximum depth of the decision tree\n '
self.model = tree.DecisionTreeRegressor(max_depth=max_depth) | def make_model(self, max_depth=3):
'\n Make the model, a decision tree with maximum depth `max_depth`.\n\n :param max_depth: the maximum depth of the decision tree\n '
self.model = tree.DecisionTreeRegressor(max_depth=max_depth)<|docstring|>Make the model, a decision tree with maximum depth... |
66f8e09f51c531f271885d89acb3f1ec1177e4f41f135da80f85027d52cadef6 | def cv_evalution(self, n_folds=10, thresh=5):
'\n Evaluate the model on a cross valdation split\n of the training data with `n_folds` nmber of folds.\n The metric is the percent of predictions within `thresh`\n of the true value.\n\n :param int n_folds: the number of folds for the... | Evaluate the model on a cross valdation split
of the training data with `n_folds` nmber of folds.
The metric is the percent of predictions within `thresh`
of the true value.
:param int n_folds: the number of folds for the cross validation
:param float thresh:
the threshold for considering a prediction close to the... | pmareport/predictors.py | cv_evalution | gautsi/pmareport | 0 | python | def cv_evalution(self, n_folds=10, thresh=5):
'\n Evaluate the model on a cross valdation split\n of the training data with `n_folds` nmber of folds.\n The metric is the percent of predictions within `thresh`\n of the true value.\n\n :param int n_folds: the number of folds for the... | def cv_evalution(self, n_folds=10, thresh=5):
'\n Evaluate the model on a cross valdation split\n of the training data with `n_folds` nmber of folds.\n The metric is the percent of predictions within `thresh`\n of the true value.\n\n :param int n_folds: the number of folds for the... |
5540ebd126194e0bbfb4942a1665eb5f64865cc9889e88ec9c0b25972762f90d | def fit(self, thresh=5):
'\n Fit the model on the training set and evaluate it\n on the test set. The metric is the percent of\n predictions within `thresh` of the true value.\n\n :param float thresh:\n the threshold for considering a prediction close to the true value\n\n ... | Fit the model on the training set and evaluate it
on the test set. The metric is the percent of
predictions within `thresh` of the true value.
:param float thresh:
the threshold for considering a prediction close to the true value
:returns: the score of the model on the test set
:rtype: float | pmareport/predictors.py | fit | gautsi/pmareport | 0 | python | def fit(self, thresh=5):
'\n Fit the model on the training set and evaluate it\n on the test set. The metric is the percent of\n predictions within `thresh` of the true value.\n\n :param float thresh:\n the threshold for considering a prediction close to the true value\n\n ... | def fit(self, thresh=5):
'\n Fit the model on the training set and evaluate it\n on the test set. The metric is the percent of\n predictions within `thresh` of the true value.\n\n :param float thresh:\n the threshold for considering a prediction close to the true value\n\n ... |
74c6162a0aba99ad0b13e6285809f0974a787a60af4ea31c6076cabc91231c6b | def load_collections(fname):
'\n Open a geocodr mapping file and return all geocodr.search.Collection\n subclasses.\n '
collections = []
with open(fname, 'r') as f:
code = compile(f.read(), fname, 'exec')
ns = {}
exec(code, ns)
src_proj = None
for v in ns.values():
... | Open a geocodr mapping file and return all geocodr.search.Collection
subclasses. | api/geocodr/mapping.py | load_collections | axza/geocodr | 3 | python | def load_collections(fname):
'\n Open a geocodr mapping file and return all geocodr.search.Collection\n subclasses.\n '
collections = []
with open(fname, 'r') as f:
code = compile(f.read(), fname, 'exec')
ns = {}
exec(code, ns)
src_proj = None
for v in ns.values():
... | def load_collections(fname):
'\n Open a geocodr mapping file and return all geocodr.search.Collection\n subclasses.\n '
collections = []
with open(fname, 'r') as f:
code = compile(f.read(), fname, 'exec')
ns = {}
exec(code, ns)
src_proj = None
for v in ns.values():
... |
fd8bc83e4dc3507f3117ef33adf48571cedd2bd391348c4209c1070e72ec6cc8 | @classmethod
def from_dict(cls, adict):
'Convert dictionary to Arxiv document object\n\n Args:\n adict (dict): a python dictionary\n\n Returns:\n dict: a filtered list object\n '
invalid_req = req.InvalidRequestObject()
if (('filters' in adict) and (not isinstance(... | Convert dictionary to Arxiv document object
Args:
adict (dict): a python dictionary
Returns:
dict: a filtered list object | webminer/interface_adapters/rest_adapters/request_objects.py | from_dict | liadmagen/Keep-Current-Crawler | 38 | python | @classmethod
def from_dict(cls, adict):
'Convert dictionary to Arxiv document object\n\n Args:\n adict (dict): a python dictionary\n\n Returns:\n dict: a filtered list object\n '
invalid_req = req.InvalidRequestObject()
if (('filters' in adict) and (not isinstance(... | @classmethod
def from_dict(cls, adict):
'Convert dictionary to Arxiv document object\n\n Args:\n adict (dict): a python dictionary\n\n Returns:\n dict: a filtered list object\n '
invalid_req = req.InvalidRequestObject()
if (('filters' in adict) and (not isinstance(... |
c160410c16a50d7a9b086330c9537e4120b8eaa162a7b1509373cd562f39cdc6 | def test_nonSpecialCaseEvents(self):
'Test that the list of events without special cases matches expectations\n\t\t'
self.assertEqual(39, len(nonSpecialCaseEvents)) | Test that the list of events without special cases matches expectations | tests/unit/test_orderedWinEventLimiter.py | test_nonSpecialCaseEvents | lukaszgo1/nvda | 1,592 | python | def test_nonSpecialCaseEvents(self):
'\n\t\t'
self.assertEqual(39, len(nonSpecialCaseEvents)) | def test_nonSpecialCaseEvents(self):
'\n\t\t'
self.assertEqual(39, len(nonSpecialCaseEvents))<|docstring|>Test that the list of events without special cases matches expectations<|endoftext|> |
ac4f2ae1edfb66ed3793d4a57915e9a3449589676dd332bd62a76edb65a74e90 | def test_threadLimit_singleObject(self):
'Test that only the latest events are kept when the thread limit is exceeded\n\t\t'
source = (2, 2, 2)
limiter = OrderedWinEventLimiter(maxFocusItems=4)
for n in range(500):
eventId = nonSpecialCaseEvents[(n % len(nonSpecialCaseEvents))]
limiter.a... | Test that only the latest events are kept when the thread limit is exceeded | tests/unit/test_orderedWinEventLimiter.py | test_threadLimit_singleObject | lukaszgo1/nvda | 1,592 | python | def test_threadLimit_singleObject(self):
'\n\t\t'
source = (2, 2, 2)
limiter = OrderedWinEventLimiter(maxFocusItems=4)
for n in range(500):
eventId = nonSpecialCaseEvents[(n % len(nonSpecialCaseEvents))]
limiter.addEvent(eventId, *source, threadID=0)
events = limiter.flushEvents()
... | def test_threadLimit_singleObject(self):
'\n\t\t'
source = (2, 2, 2)
limiter = OrderedWinEventLimiter(maxFocusItems=4)
for n in range(500):
eventId = nonSpecialCaseEvents[(n % len(nonSpecialCaseEvents))]
limiter.addEvent(eventId, *source, threadID=0)
events = limiter.flushEvents()
... |
94e71ad6762dd7bd5a7bb1b8b6a8a2dd518a5f8141d22cca0decd0ae9a71f2cc | def test_threadLimit_noCanary(self):
'Test that only the latest events are kept when the thread limit is exceeded\n\t\t'
limiter = OrderedWinEventLimiter(maxFocusItems=4)
for n in range(500):
eventId = nonSpecialCaseEvents[(n % len(nonSpecialCaseEvents))]
source = (2, 2, n)
limiter.a... | Test that only the latest events are kept when the thread limit is exceeded | tests/unit/test_orderedWinEventLimiter.py | test_threadLimit_noCanary | lukaszgo1/nvda | 1,592 | python | def test_threadLimit_noCanary(self):
'\n\t\t'
limiter = OrderedWinEventLimiter(maxFocusItems=4)
for n in range(500):
eventId = nonSpecialCaseEvents[(n % len(nonSpecialCaseEvents))]
source = (2, 2, n)
limiter.addEvent(eventId, *source, threadID=0)
events = limiter.flushEvents()
... | def test_threadLimit_noCanary(self):
'\n\t\t'
limiter = OrderedWinEventLimiter(maxFocusItems=4)
for n in range(500):
eventId = nonSpecialCaseEvents[(n % len(nonSpecialCaseEvents))]
source = (2, 2, n)
limiter.addEvent(eventId, *source, threadID=0)
events = limiter.flushEvents()
... |
07d268f361cc6a0778c3c4692d1715b80f33aeb1d646c8b99964221ff4189d0b | def test_threadLimit_withCanaryAtStart(self):
'Test that only the latest events are kept when the thread limit is exceeded\n\t\t'
limiter = OrderedWinEventLimiter(maxFocusItems=4)
canaryObject = (1, 1, 1)
eventStartCanary = (winUser.EVENT_OBJECT_VALUECHANGE, *canaryObject)
limiter.addEvent(*eventSta... | Test that only the latest events are kept when the thread limit is exceeded | tests/unit/test_orderedWinEventLimiter.py | test_threadLimit_withCanaryAtStart | lukaszgo1/nvda | 1,592 | python | def test_threadLimit_withCanaryAtStart(self):
'\n\t\t'
limiter = OrderedWinEventLimiter(maxFocusItems=4)
canaryObject = (1, 1, 1)
eventStartCanary = (winUser.EVENT_OBJECT_VALUECHANGE, *canaryObject)
limiter.addEvent(*eventStartCanary, threadID=0)
for n in range(500):
eventId = nonSpecial... | def test_threadLimit_withCanaryAtStart(self):
'\n\t\t'
limiter = OrderedWinEventLimiter(maxFocusItems=4)
canaryObject = (1, 1, 1)
eventStartCanary = (winUser.EVENT_OBJECT_VALUECHANGE, *canaryObject)
limiter.addEvent(*eventStartCanary, threadID=0)
for n in range(500):
eventId = nonSpecial... |
81da0583d3566d88bf31df756f8a53ae45cab150b0e2367f3458ddee65555696 | def test_threadLimit_canaryStartAndEnd(self):
'Test that only the latest events are kept when the thread limit is exceeded\n\t\t'
limiter = OrderedWinEventLimiter(maxFocusItems=4)
canaryObject = (1, 1, 1)
eventStartCanary = (winUser.EVENT_OBJECT_VALUECHANGE, *canaryObject)
limiter.addEvent(*eventSta... | Test that only the latest events are kept when the thread limit is exceeded | tests/unit/test_orderedWinEventLimiter.py | test_threadLimit_canaryStartAndEnd | lukaszgo1/nvda | 1,592 | python | def test_threadLimit_canaryStartAndEnd(self):
'\n\t\t'
limiter = OrderedWinEventLimiter(maxFocusItems=4)
canaryObject = (1, 1, 1)
eventStartCanary = (winUser.EVENT_OBJECT_VALUECHANGE, *canaryObject)
limiter.addEvent(*eventStartCanary, threadID=0)
for n in range(500):
eventId = nonSpecial... | def test_threadLimit_canaryStartAndEnd(self):
'\n\t\t'
limiter = OrderedWinEventLimiter(maxFocusItems=4)
canaryObject = (1, 1, 1)
eventStartCanary = (winUser.EVENT_OBJECT_VALUECHANGE, *canaryObject)
limiter.addEvent(*eventStartCanary, threadID=0)
for n in range(500):
eventId = nonSpecial... |
be02cd8566e02c71dabc3ad50149ac68be95ba0df63486a55205f583723dade0 | def test_alwaysAllowedObjects(self):
'Matches test_threadLimit_canaryStartAndEnd, but allows events from the first object\n\t\t'
limiter = OrderedWinEventLimiter(maxFocusItems=4)
canaryObject = (1, 1, 1)
eventStartCanary = (winUser.EVENT_OBJECT_VALUECHANGE, *canaryObject)
limiter.addEvent(*eventStar... | Matches test_threadLimit_canaryStartAndEnd, but allows events from the first object | tests/unit/test_orderedWinEventLimiter.py | test_alwaysAllowedObjects | lukaszgo1/nvda | 1,592 | python | def test_alwaysAllowedObjects(self):
'\n\t\t'
limiter = OrderedWinEventLimiter(maxFocusItems=4)
canaryObject = (1, 1, 1)
eventStartCanary = (winUser.EVENT_OBJECT_VALUECHANGE, *canaryObject)
limiter.addEvent(*eventStartCanary, threadID=0)
for n in range(orderedWinEventLimiter.MAX_WINEVENTS_PER_TH... | def test_alwaysAllowedObjects(self):
'\n\t\t'
limiter = OrderedWinEventLimiter(maxFocusItems=4)
canaryObject = (1, 1, 1)
eventStartCanary = (winUser.EVENT_OBJECT_VALUECHANGE, *canaryObject)
limiter.addEvent(*eventStartCanary, threadID=0)
for n in range(orderedWinEventLimiter.MAX_WINEVENTS_PER_TH... |
ed1b8ec65f68ee3eaff51901d79275bd7b04fe38dbb8d3daaf8a67eba9c8703a | @staticmethod
@CachedMethods.register
def query_oxo(uid):
'\n This takes a curie id and send that id to EMBL-EBI OXO to convert to cui\n '
url_str = ('https://www.ebi.ac.uk/spot/oxo/api/mappings?fromId=' + str(uid))
requests = CacheControlHelper()
try:
res = requests.get(url_str, h... | This takes a curie id and send that id to EMBL-EBI OXO to convert to cui | code/reasoningtool/kg-construction/NormGoogleDistance.py | query_oxo | rtx-travis-tester/RTX | 31 | python | @staticmethod
@CachedMethods.register
def query_oxo(uid):
'\n \n '
url_str = ('https://www.ebi.ac.uk/spot/oxo/api/mappings?fromId=' + str(uid))
requests = CacheControlHelper()
try:
res = requests.get(url_str, headers={'accept': 'application/json'}, timeout=120)
except requests.... | @staticmethod
@CachedMethods.register
def query_oxo(uid):
'\n \n '
url_str = ('https://www.ebi.ac.uk/spot/oxo/api/mappings?fromId=' + str(uid))
requests = CacheControlHelper()
try:
res = requests.get(url_str, headers={'accept': 'application/json'}, timeout=120)
except requests.... |
ee239bfd5168ffe7f80bf17e7beae6c6c63c301dd0cfba2b78930ab93ae2403f | @staticmethod
@CachedMethods.register
def get_mesh_term_for_all(curie_id, description):
'\n Takes a curie ID, detects the ontology from the curie id, and then finds the mesh term\n Params:\n curie_id - A string containing the curie id of the node. Formatted <source abbreviation>:<number> e.... | Takes a curie ID, detects the ontology from the curie id, and then finds the mesh term
Params:
curie_id - A string containing the curie id of the node. Formatted <source abbreviation>:<number> e.g. DOID:8398
description - A string containing the English name for the node
current functionality (+ means has it, -... | code/reasoningtool/kg-construction/NormGoogleDistance.py | get_mesh_term_for_all | rtx-travis-tester/RTX | 31 | python | @staticmethod
@CachedMethods.register
def get_mesh_term_for_all(curie_id, description):
'\n Takes a curie ID, detects the ontology from the curie id, and then finds the mesh term\n Params:\n curie_id - A string containing the curie id of the node. Formatted <source abbreviation>:<number> e.... | @staticmethod
@CachedMethods.register
def get_mesh_term_for_all(curie_id, description):
'\n Takes a curie ID, detects the ontology from the curie id, and then finds the mesh term\n Params:\n curie_id - A string containing the curie id of the node. Formatted <source abbreviation>:<number> e.... |
f2fee9fefa93787b84d525ce03335d195d612552bbaac29783ddcf1445262ff0 | @staticmethod
def get_ngd_for_all(curie_id_list, description_list):
'\n Takes a list of currie ids and descriptions then calculates the normalized google distance for the set of nodes.\n Params:\n curie_id_list - a list of strings containing the curie ids of the nodes. Formatted <source abb... | Takes a list of currie ids and descriptions then calculates the normalized google distance for the set of nodes.
Params:
curie_id_list - a list of strings containing the curie ids of the nodes. Formatted <source abbreviation>:<number> e.g. DOID:8398
description_list - a list of strings containing the English na... | code/reasoningtool/kg-construction/NormGoogleDistance.py | get_ngd_for_all | rtx-travis-tester/RTX | 31 | python | @staticmethod
def get_ngd_for_all(curie_id_list, description_list):
'\n Takes a list of currie ids and descriptions then calculates the normalized google distance for the set of nodes.\n Params:\n curie_id_list - a list of strings containing the curie ids of the nodes. Formatted <source abb... | @staticmethod
def get_ngd_for_all(curie_id_list, description_list):
'\n Takes a list of currie ids and descriptions then calculates the normalized google distance for the set of nodes.\n Params:\n curie_id_list - a list of strings containing the curie ids of the nodes. Formatted <source abb... |
eb60ae9f703b06a21c82bc2bccf3b299e2921a31deb092e39e36fb136697dd4c | @staticmethod
def get_pmids_for_all(curie_id_list, description_list):
'\n Takes a list of currie ids and descriptions then calculates the normalized google distance for the set of nodes.\n Params:\n curie_id_list - a list of strings containing the curie ids of the nodes. Formatted <source a... | Takes a list of currie ids and descriptions then calculates the normalized google distance for the set of nodes.
Params:
curie_id_list - a list of strings containing the curie ids of the nodes. Formatted <source abbreviation>:<number> e.g. DOID:8398
description_list - a list of strings containing the English na... | code/reasoningtool/kg-construction/NormGoogleDistance.py | get_pmids_for_all | rtx-travis-tester/RTX | 31 | python | @staticmethod
def get_pmids_for_all(curie_id_list, description_list):
'\n Takes a list of currie ids and descriptions then calculates the normalized google distance for the set of nodes.\n Params:\n curie_id_list - a list of strings containing the curie ids of the nodes. Formatted <source a... | @staticmethod
def get_pmids_for_all(curie_id_list, description_list):
'\n Takes a list of currie ids and descriptions then calculates the normalized google distance for the set of nodes.\n Params:\n curie_id_list - a list of strings containing the curie ids of the nodes. Formatted <source a... |
593e8dfba974a9490a9e2a43a8a28fd271b135f1676af31aecc6e4c9ed4f7acf | @property
def AuxiliaryId(self):
'\n Returns\n -------\n - number: This describes the identifier for auxiliary connections.\n '
return self._get_attribute(self._SDM_ATT_MAP['AuxiliaryId']) | Returns
-------
- number: This describes the identifier for auxiliary connections. | ixnetwork_restpy/testplatform/sessions/ixnetwork/vport/protocols/controllerauxiliaryconnectionlearnedinfo_1c2f8f11bff25ef8bd7fd65ee1072e9b.py | AuxiliaryId | slieberth/ixnetwork_restpy | 0 | python | @property
def AuxiliaryId(self):
'\n Returns\n -------\n - number: This describes the identifier for auxiliary connections.\n '
return self._get_attribute(self._SDM_ATT_MAP['AuxiliaryId']) | @property
def AuxiliaryId(self):
'\n Returns\n -------\n - number: This describes the identifier for auxiliary connections.\n '
return self._get_attribute(self._SDM_ATT_MAP['AuxiliaryId'])<|docstring|>Returns
-------
- number: This describes the identifier for auxiliary connections.<... |
653b6ca5d0bbbe4b36891dcba1b9d3e856d17fa4a65338dc3b37be29b6ea3914 | @property
def ConnectionType(self):
'\n Returns\n -------\n - str(tcp | tls | udp): Specifies how this controllerPort is connected to another controller (internal/external) or host or there is no connection (noConnection)\n '
return self._get_attribute(self._SDM_ATT_MAP['ConnectionTy... | Returns
-------
- str(tcp | tls | udp): Specifies how this controllerPort is connected to another controller (internal/external) or host or there is no connection (noConnection) | ixnetwork_restpy/testplatform/sessions/ixnetwork/vport/protocols/controllerauxiliaryconnectionlearnedinfo_1c2f8f11bff25ef8bd7fd65ee1072e9b.py | ConnectionType | slieberth/ixnetwork_restpy | 0 | python | @property
def ConnectionType(self):
'\n Returns\n -------\n - str(tcp | tls | udp): Specifies how this controllerPort is connected to another controller (internal/external) or host or there is no connection (noConnection)\n '
return self._get_attribute(self._SDM_ATT_MAP['ConnectionTy... | @property
def ConnectionType(self):
'\n Returns\n -------\n - str(tcp | tls | udp): Specifies how this controllerPort is connected to another controller (internal/external) or host or there is no connection (noConnection)\n '
return self._get_attribute(self._SDM_ATT_MAP['ConnectionTy... |
a0bb7f85516cc1a8c943c8f999a16397dbb9a9a907b3b37d0e0b0e4a70fd9e1b | @property
def DataPathId(self):
'\n Returns\n -------\n - str: Indicates the datapath ID of the OpenFlow controller.\n '
return self._get_attribute(self._SDM_ATT_MAP['DataPathId']) | Returns
-------
- str: Indicates the datapath ID of the OpenFlow controller. | ixnetwork_restpy/testplatform/sessions/ixnetwork/vport/protocols/controllerauxiliaryconnectionlearnedinfo_1c2f8f11bff25ef8bd7fd65ee1072e9b.py | DataPathId | slieberth/ixnetwork_restpy | 0 | python | @property
def DataPathId(self):
'\n Returns\n -------\n - str: Indicates the datapath ID of the OpenFlow controller.\n '
return self._get_attribute(self._SDM_ATT_MAP['DataPathId']) | @property
def DataPathId(self):
'\n Returns\n -------\n - str: Indicates the datapath ID of the OpenFlow controller.\n '
return self._get_attribute(self._SDM_ATT_MAP['DataPathId'])<|docstring|>Returns
-------
- str: Indicates the datapath ID of the OpenFlow controller.<|endoftext|> |
4ca878a78ece21e2219ac3fd7d69c4ab0289f2f42ec6242cc02463290c9f6309 | @property
def DataPathIdAsHex(self):
'\n Returns\n -------\n - str: Indicates the datapath ID of the OpenFlow controller in hexadecimal format.\n '
return self._get_attribute(self._SDM_ATT_MAP['DataPathIdAsHex']) | Returns
-------
- str: Indicates the datapath ID of the OpenFlow controller in hexadecimal format. | ixnetwork_restpy/testplatform/sessions/ixnetwork/vport/protocols/controllerauxiliaryconnectionlearnedinfo_1c2f8f11bff25ef8bd7fd65ee1072e9b.py | DataPathIdAsHex | slieberth/ixnetwork_restpy | 0 | python | @property
def DataPathIdAsHex(self):
'\n Returns\n -------\n - str: Indicates the datapath ID of the OpenFlow controller in hexadecimal format.\n '
return self._get_attribute(self._SDM_ATT_MAP['DataPathIdAsHex']) | @property
def DataPathIdAsHex(self):
'\n Returns\n -------\n - str: Indicates the datapath ID of the OpenFlow controller in hexadecimal format.\n '
return self._get_attribute(self._SDM_ATT_MAP['DataPathIdAsHex'])<|docstring|>Returns
-------
- str: Indicates the datapath ID of the Ope... |
6cd11f9ee88bf47aa238f548b5c3cd3812495976af486ee07b85d4232bfea4c0 | @property
def LocalIp(self):
'\n Returns\n -------\n - str: Signifies the local IP address of the selected interface.\n '
return self._get_attribute(self._SDM_ATT_MAP['LocalIp']) | Returns
-------
- str: Signifies the local IP address of the selected interface. | ixnetwork_restpy/testplatform/sessions/ixnetwork/vport/protocols/controllerauxiliaryconnectionlearnedinfo_1c2f8f11bff25ef8bd7fd65ee1072e9b.py | LocalIp | slieberth/ixnetwork_restpy | 0 | python | @property
def LocalIp(self):
'\n Returns\n -------\n - str: Signifies the local IP address of the selected interface.\n '
return self._get_attribute(self._SDM_ATT_MAP['LocalIp']) | @property
def LocalIp(self):
'\n Returns\n -------\n - str: Signifies the local IP address of the selected interface.\n '
return self._get_attribute(self._SDM_ATT_MAP['LocalIp'])<|docstring|>Returns
-------
- str: Signifies the local IP address of the selected interface.<|endoftext|> |
bff02b0d687b0cde35e787c71c2a352e1f18d2012dbd83864ea1150355fe321e | @property
def LocalPort(self):
'\n Returns\n -------\n - number: This describes the local port number identifier.\n '
return self._get_attribute(self._SDM_ATT_MAP['LocalPort']) | Returns
-------
- number: This describes the local port number identifier. | ixnetwork_restpy/testplatform/sessions/ixnetwork/vport/protocols/controllerauxiliaryconnectionlearnedinfo_1c2f8f11bff25ef8bd7fd65ee1072e9b.py | LocalPort | slieberth/ixnetwork_restpy | 0 | python | @property
def LocalPort(self):
'\n Returns\n -------\n - number: This describes the local port number identifier.\n '
return self._get_attribute(self._SDM_ATT_MAP['LocalPort']) | @property
def LocalPort(self):
'\n Returns\n -------\n - number: This describes the local port number identifier.\n '
return self._get_attribute(self._SDM_ATT_MAP['LocalPort'])<|docstring|>Returns
-------
- number: This describes the local port number identifier.<|endoftext|> |
8c9637b33d205fb380d1c0a7d2725b2cc05b209d5eebce9efaccaa51cd39e8f2 | @property
def RemoteIp(self):
'\n Returns\n -------\n - str: This describes the IP address of the remote end of the OF Channel.\n '
return self._get_attribute(self._SDM_ATT_MAP['RemoteIp']) | Returns
-------
- str: This describes the IP address of the remote end of the OF Channel. | ixnetwork_restpy/testplatform/sessions/ixnetwork/vport/protocols/controllerauxiliaryconnectionlearnedinfo_1c2f8f11bff25ef8bd7fd65ee1072e9b.py | RemoteIp | slieberth/ixnetwork_restpy | 0 | python | @property
def RemoteIp(self):
'\n Returns\n -------\n - str: This describes the IP address of the remote end of the OF Channel.\n '
return self._get_attribute(self._SDM_ATT_MAP['RemoteIp']) | @property
def RemoteIp(self):
'\n Returns\n -------\n - str: This describes the IP address of the remote end of the OF Channel.\n '
return self._get_attribute(self._SDM_ATT_MAP['RemoteIp'])<|docstring|>Returns
-------
- str: This describes the IP address of the remote end of the OF C... |
3b769b54811d4822ecff3c5baec745fb2935e36aff46e15a010b28f549622b33 | @property
def RemotePort(self):
'\n Returns\n -------\n - number: This describes the remote port number identifier.\n '
return self._get_attribute(self._SDM_ATT_MAP['RemotePort']) | Returns
-------
- number: This describes the remote port number identifier. | ixnetwork_restpy/testplatform/sessions/ixnetwork/vport/protocols/controllerauxiliaryconnectionlearnedinfo_1c2f8f11bff25ef8bd7fd65ee1072e9b.py | RemotePort | slieberth/ixnetwork_restpy | 0 | python | @property
def RemotePort(self):
'\n Returns\n -------\n - number: This describes the remote port number identifier.\n '
return self._get_attribute(self._SDM_ATT_MAP['RemotePort']) | @property
def RemotePort(self):
'\n Returns\n -------\n - number: This describes the remote port number identifier.\n '
return self._get_attribute(self._SDM_ATT_MAP['RemotePort'])<|docstring|>Returns
-------
- number: This describes the remote port number identifier.<|endoftext|> |
1ca37cf7f36582ea26ace7be7f19abd80ef8d290cda849e91f9bee601b1be5e9 | def find(self, AuxiliaryId=None, ConnectionType=None, DataPathId=None, DataPathIdAsHex=None, LocalIp=None, LocalPort=None, RemoteIp=None, RemotePort=None):
'Finds and retrieves controllerAuxiliaryConnectionLearnedInfo resources from the server.\n\n All named parameters are evaluated on the server using regex... | Finds and retrieves controllerAuxiliaryConnectionLearnedInfo resources from the server.
All named parameters are evaluated on the server using regex. The named parameters can be used to selectively retrieve controllerAuxiliaryConnectionLearnedInfo resources from the server.
To retrieve an exact match ensure the parame... | ixnetwork_restpy/testplatform/sessions/ixnetwork/vport/protocols/controllerauxiliaryconnectionlearnedinfo_1c2f8f11bff25ef8bd7fd65ee1072e9b.py | find | slieberth/ixnetwork_restpy | 0 | python | def find(self, AuxiliaryId=None, ConnectionType=None, DataPathId=None, DataPathIdAsHex=None, LocalIp=None, LocalPort=None, RemoteIp=None, RemotePort=None):
'Finds and retrieves controllerAuxiliaryConnectionLearnedInfo resources from the server.\n\n All named parameters are evaluated on the server using regex... | def find(self, AuxiliaryId=None, ConnectionType=None, DataPathId=None, DataPathIdAsHex=None, LocalIp=None, LocalPort=None, RemoteIp=None, RemotePort=None):
'Finds and retrieves controllerAuxiliaryConnectionLearnedInfo resources from the server.\n\n All named parameters are evaluated on the server using regex... |
e819d9cbbc624f4ec8438a71cc9c0866c97e72e2e82990e0bd0e5418132a39b4 | def read(self, href):
'Retrieves a single instance of controllerAuxiliaryConnectionLearnedInfo data from the server.\n\n Args\n ----\n - href (str): An href to the instance to be retrieved\n\n Returns\n -------\n - self: This instance with the controllerAuxiliaryConnectionL... | Retrieves a single instance of controllerAuxiliaryConnectionLearnedInfo data from the server.
Args
----
- href (str): An href to the instance to be retrieved
Returns
-------
- self: This instance with the controllerAuxiliaryConnectionLearnedInfo resources from the server available through an iterator or index
Raises... | ixnetwork_restpy/testplatform/sessions/ixnetwork/vport/protocols/controllerauxiliaryconnectionlearnedinfo_1c2f8f11bff25ef8bd7fd65ee1072e9b.py | read | slieberth/ixnetwork_restpy | 0 | python | def read(self, href):
'Retrieves a single instance of controllerAuxiliaryConnectionLearnedInfo data from the server.\n\n Args\n ----\n - href (str): An href to the instance to be retrieved\n\n Returns\n -------\n - self: This instance with the controllerAuxiliaryConnectionL... | def read(self, href):
'Retrieves a single instance of controllerAuxiliaryConnectionLearnedInfo data from the server.\n\n Args\n ----\n - href (str): An href to the instance to be retrieved\n\n Returns\n -------\n - self: This instance with the controllerAuxiliaryConnectionL... |
a81b413ddd41cec247151aefceaaef37ef175c23bb2ada961d531974330ed91f | def to_string(self):
' Return object as string '
url = self.scheme
if self.user:
if self.password:
url += ('://%s@%s' % (self.user, self.password))
else:
url += '://'
url += self.netloc
if self.port:
url += (':%d' % self.port)
else:
url += ':80'
... | Return object as string | apps/orgapp/app/models.py | to_string | dorneanu/crudappify | 1 | python | def to_string(self):
' '
url = self.scheme
if self.user:
if self.password:
url += ('://%s@%s' % (self.user, self.password))
else:
url += '://'
url += self.netloc
if self.port:
url += (':%d' % self.port)
else:
url += ':80'
url += ('%s' % self.p... | def to_string(self):
' '
url = self.scheme
if self.user:
if self.password:
url += ('://%s@%s' % (self.user, self.password))
else:
url += '://'
url += self.netloc
if self.port:
url += (':%d' % self.port)
else:
url += ':80'
url += ('%s' % self.p... |
e00feb417a93d5f095f02d25e9aeecaed93ecebdf6314abbba89dfb04e451806 | def load_data(database_filepath):
"\n Load data from the specified database\n\n Args:\n database_filepath: string. A relative path to the database file\n\n Returns:\n X: Array of features data which is data in the 'message' column\n y: Array of labels data which is the 36 categories in the dataset... | Load data from the specified database
Args:
database_filepath: string. A relative path to the database file
Returns:
X: Array of features data which is data in the 'message' column
y: Array of labels data which is the 36 categories in the dataset
category_names: List of category names corresponding to columns of y | models/train_classifier.py | load_data | nongnoochr/diaster-response-app | 0 | python | def load_data(database_filepath):
"\n Load data from the specified database\n\n Args:\n database_filepath: string. A relative path to the database file\n\n Returns:\n X: Array of features data which is data in the 'message' column\n y: Array of labels data which is the 36 categories in the dataset... | def load_data(database_filepath):
"\n Load data from the specified database\n\n Args:\n database_filepath: string. A relative path to the database file\n\n Returns:\n X: Array of features data which is data in the 'message' column\n y: Array of labels data which is the 36 categories in the dataset... |
e65cf0669b7cf9111387975ed8163250ee8bd49dc217fa9286aba57046477890 | def get_wordnet_pos(tag):
' \n Get a TreeBank tag from the specified WordNet part of speech name\n\n Args:\n tag: string. WordNet part of speech name.\n\n Returns:\n A corresponding TreeBank tag\n '
treebank_tag = ''
if tag.startswith('J'):
treebank_tag = wordnet.ADJ
elif tag.s... | Get a TreeBank tag from the specified WordNet part of speech name
Args:
tag: string. WordNet part of speech name.
Returns:
A corresponding TreeBank tag | models/train_classifier.py | get_wordnet_pos | nongnoochr/diaster-response-app | 0 | python | def get_wordnet_pos(tag):
' \n Get a TreeBank tag from the specified WordNet part of speech name\n\n Args:\n tag: string. WordNet part of speech name.\n\n Returns:\n A corresponding TreeBank tag\n '
treebank_tag =
if tag.startswith('J'):
treebank_tag = wordnet.ADJ
elif tag.sta... | def get_wordnet_pos(tag):
' \n Get a TreeBank tag from the specified WordNet part of speech name\n\n Args:\n tag: string. WordNet part of speech name.\n\n Returns:\n A corresponding TreeBank tag\n '
treebank_tag =
if tag.startswith('J'):
treebank_tag = wordnet.ADJ
elif tag.sta... |
ec66bcc257954739476efb560111d068b628ca001aff95556c4f8f8e328a4c36 | def tokenize(text):
'\n Perform a tokenization process on the input text\n\n Args:\n text: string. A message to be tokenized\n\n Returns:\n clean_tokens\n '
text = text.lower()
text = re.sub('[^a-zA-Z0-9]', ' ', text)
words = word_tokenize(text)
words = [w for w in words if (w not ... | Perform a tokenization process on the input text
Args:
text: string. A message to be tokenized
Returns:
clean_tokens | models/train_classifier.py | tokenize | nongnoochr/diaster-response-app | 0 | python | def tokenize(text):
'\n Perform a tokenization process on the input text\n\n Args:\n text: string. A message to be tokenized\n\n Returns:\n clean_tokens\n '
text = text.lower()
text = re.sub('[^a-zA-Z0-9]', ' ', text)
words = word_tokenize(text)
words = [w for w in words if (w not ... | def tokenize(text):
'\n Perform a tokenization process on the input text\n\n Args:\n text: string. A message to be tokenized\n\n Returns:\n clean_tokens\n '
text = text.lower()
text = re.sub('[^a-zA-Z0-9]', ' ', text)
words = word_tokenize(text)
words = [w for w in words if (w not ... |
d9bb12308b321eb0c8cab317ec110ecc12b80045d779047f5a14d11dd98eeb28 | def build_model():
'\n Create a GridsearchCV object of a pipeline where the MultiOutputClassifier \n is used along with the RandomForestClassifier as an estimator\n\n Returns:\n model: GridsearchCV object.\n '
pipeline = Pipeline([('vect', CountVectorizer(tokenizer=tokenize)), ('tfidf', TfidfTran... | Create a GridsearchCV object of a pipeline where the MultiOutputClassifier
is used along with the RandomForestClassifier as an estimator
Returns:
model: GridsearchCV object. | models/train_classifier.py | build_model | nongnoochr/diaster-response-app | 0 | python | def build_model():
'\n Create a GridsearchCV object of a pipeline where the MultiOutputClassifier \n is used along with the RandomForestClassifier as an estimator\n\n Returns:\n model: GridsearchCV object.\n '
pipeline = Pipeline([('vect', CountVectorizer(tokenizer=tokenize)), ('tfidf', TfidfTran... | def build_model():
'\n Create a GridsearchCV object of a pipeline where the MultiOutputClassifier \n is used along with the RandomForestClassifier as an estimator\n\n Returns:\n model: GridsearchCV object.\n '
pipeline = Pipeline([('vect', CountVectorizer(tokenizer=tokenize)), ('tfidf', TfidfTran... |
05fde6d985ed9c85dad3277805aa4d25260bf7132654c40dad0aaf6bcdbbf653 | def evaluate_model(model, X_test, Y_test, category_names):
"\n Run the predict method of the specified model with a given input data and\n print out the best parameter found by the model (GridSearchCV object) and also\n report the f1 score, precision and recall for each output category of the dataset\n\n ... | Run the predict method of the specified model with a given input data and
print out the best parameter found by the model (GridSearchCV object) and also
report the f1 score, precision and recall for each output category of the dataset
Args:
model: A trained GridSearchCV object
X_Test: Array of feature's test data
Y_Te... | models/train_classifier.py | evaluate_model | nongnoochr/diaster-response-app | 0 | python | def evaluate_model(model, X_test, Y_test, category_names):
"\n Run the predict method of the specified model with a given input data and\n print out the best parameter found by the model (GridSearchCV object) and also\n report the f1 score, precision and recall for each output category of the dataset\n\n ... | def evaluate_model(model, X_test, Y_test, category_names):
"\n Run the predict method of the specified model with a given input data and\n print out the best parameter found by the model (GridSearchCV object) and also\n report the f1 score, precision and recall for each output category of the dataset\n\n ... |
44145b7d17f229bcbcf966e1175040bafade619ecdd4d3d03ddeb8d20c79074b | def save_model(model, model_filepath):
'\n Save a model to a pickle file at the speicified file path\n\n Args:\n model: A model object\n model_filepath: A relative path of the output file path\n '
with open(model_filepath, 'wb') as file:
pickle.dump(model, file) | Save a model to a pickle file at the speicified file path
Args:
model: A model object
model_filepath: A relative path of the output file path | models/train_classifier.py | save_model | nongnoochr/diaster-response-app | 0 | python | def save_model(model, model_filepath):
'\n Save a model to a pickle file at the speicified file path\n\n Args:\n model: A model object\n model_filepath: A relative path of the output file path\n '
with open(model_filepath, 'wb') as file:
pickle.dump(model, file) | def save_model(model, model_filepath):
'\n Save a model to a pickle file at the speicified file path\n\n Args:\n model: A model object\n model_filepath: A relative path of the output file path\n '
with open(model_filepath, 'wb') as file:
pickle.dump(model, file)<|docstring|>Save a model t... |
701edf4c27ca473c3dbe243ce87bb069255462a81a9f6238e78d5b00b5e59b85 | def run_update(ydl):
'\n Update the program file with the latest version from the repository\n Returns whether the program should terminate\n '
JSON_URL = 'https://api.github.com/repos/yt-dlp/yt-dlp/releases/latest'
def report_error(msg, expected=False):
ydl.report_error(msg, tb=('' if exp... | Update the program file with the latest version from the repository
Returns whether the program should terminate | yt_dlp/update.py | run_update | wlritchi/yt-dlp | 64 | python | def run_update(ydl):
'\n Update the program file with the latest version from the repository\n Returns whether the program should terminate\n '
JSON_URL = 'https://api.github.com/repos/yt-dlp/yt-dlp/releases/latest'
def report_error(msg, expected=False):
ydl.report_error(msg, tb=( if expec... | def run_update(ydl):
'\n Update the program file with the latest version from the repository\n Returns whether the program should terminate\n '
JSON_URL = 'https://api.github.com/repos/yt-dlp/yt-dlp/releases/latest'
def report_error(msg, expected=False):
ydl.report_error(msg, tb=( if expec... |
c846159964fca60e8619abcad7e150d6ffa91e4e6c86eb1b89290165c28ae2e3 | def escape_tags(value, valid_tags):
'\n Strips text from the given html string, leaving only tags.\n This functionality requires BeautifulSoup, nothing will be\n done otherwise.\n\n This isn\'t perfect. Someone could put javascript in here:\n <a onClick="alert(\'hi\');">test</a>\n\n So if ... | Strips text from the given html string, leaving only tags.
This functionality requires BeautifulSoup, nothing will be
done otherwise.
This isn't perfect. Someone could put javascript in here:
<a onClick="alert('hi');">test</a>
So if you use valid_tags, you still need to trust your data entry.
Or we could ... | djangoseo/utils.py | escape_tags | adilshehzad786/django-seo2 | 66 | python | def escape_tags(value, valid_tags):
'\n Strips text from the given html string, leaving only tags.\n This functionality requires BeautifulSoup, nothing will be\n done otherwise.\n\n This isn\'t perfect. Someone could put javascript in here:\n <a onClick="alert(\'hi\');">test</a>\n\n So if ... | def escape_tags(value, valid_tags):
'\n Strips text from the given html string, leaving only tags.\n This functionality requires BeautifulSoup, nothing will be\n done otherwise.\n\n This isn\'t perfect. Someone could put javascript in here:\n <a onClick="alert(\'hi\');">test</a>\n\n So if ... |
7fc5ede4b1a5d1260f251f9c98bb114fe0de04ce620481ded00334fc7c9f4e3b | def _get_seo_content_types(seo_models):
'Returns a list of content types from the models defined in settings.'
try:
return [ContentType.objects.get_for_model(m).id for m in seo_models]
except Exception:
return [] | Returns a list of content types from the models defined in settings. | djangoseo/utils.py | _get_seo_content_types | adilshehzad786/django-seo2 | 66 | python | def _get_seo_content_types(seo_models):
try:
return [ContentType.objects.get_for_model(m).id for m in seo_models]
except Exception:
return [] | def _get_seo_content_types(seo_models):
try:
return [ContentType.objects.get_for_model(m).id for m in seo_models]
except Exception:
return []<|docstring|>Returns a list of content types from the models defined in settings.<|endoftext|> |
dad0551a029b244d0d5ae3f898c0dcdf06aaeb679b96dbf761a4d01fcd0f5272 | def __init__(self, Lower=(- 10.0), Upper=10.0):
'Initialize of Quintic benchmark.\n\n Args:\n Lower (Optional[float]): Lower bound of problem.\n Upper (Optional[float]): Upper bound of problem.\n\n See Also:\n :func:`NiaPy.benchmarks.Benchmark.__init__`\n '
... | Initialize of Quintic benchmark.
Args:
Lower (Optional[float]): Lower bound of problem.
Upper (Optional[float]): Upper bound of problem.
See Also:
:func:`NiaPy.benchmarks.Benchmark.__init__` | NiaPy/benchmarks/quintic.py | __init__ | lucijabrezocnik/NiaPy | 0 | python | def __init__(self, Lower=(- 10.0), Upper=10.0):
'Initialize of Quintic benchmark.\n\n Args:\n Lower (Optional[float]): Lower bound of problem.\n Upper (Optional[float]): Upper bound of problem.\n\n See Also:\n :func:`NiaPy.benchmarks.Benchmark.__init__`\n '
... | def __init__(self, Lower=(- 10.0), Upper=10.0):
'Initialize of Quintic benchmark.\n\n Args:\n Lower (Optional[float]): Lower bound of problem.\n Upper (Optional[float]): Upper bound of problem.\n\n See Also:\n :func:`NiaPy.benchmarks.Benchmark.__init__`\n '
... |
7c125cdd7e7a9d612f575ba81ebb9e273042e1c9ac72b9717ce7dd148c02bf1c | @staticmethod
def latex_code():
'Return the latex code of the problem.\n\n Returns:\n str: Latex code\n '
return '$f(\\mathbf{x}) = \\sum_{i=1}^D \\left| x_i^5 - 3x_i^4 +\n 4x_i^3 + 2x_i^2 - 10x_i - 4\\right|$' | Return the latex code of the problem.
Returns:
str: Latex code | NiaPy/benchmarks/quintic.py | latex_code | lucijabrezocnik/NiaPy | 0 | python | @staticmethod
def latex_code():
'Return the latex code of the problem.\n\n Returns:\n str: Latex code\n '
return '$f(\\mathbf{x}) = \\sum_{i=1}^D \\left| x_i^5 - 3x_i^4 +\n 4x_i^3 + 2x_i^2 - 10x_i - 4\\right|$' | @staticmethod
def latex_code():
'Return the latex code of the problem.\n\n Returns:\n str: Latex code\n '
return '$f(\\mathbf{x}) = \\sum_{i=1}^D \\left| x_i^5 - 3x_i^4 +\n 4x_i^3 + 2x_i^2 - 10x_i - 4\\right|$'<|docstring|>Return the latex code of the problem.
Returns:
... |
396e8e5145b1a11c22095d219a15dc0ed9d00098b17739d493fcb801fa96602c | def function(self):
'Return benchmark evaluation function.\n\n Returns:\n Callable[[int, Union[int, float, List[int, float], numpy.ndarray]], float]: Fitness function\n '
def evaluate(D, sol):
'Fitness function.\n\n Args:\n D (int): Dimensionality of t... | Return benchmark evaluation function.
Returns:
Callable[[int, Union[int, float, List[int, float], numpy.ndarray]], float]: Fitness function | NiaPy/benchmarks/quintic.py | function | lucijabrezocnik/NiaPy | 0 | python | def function(self):
'Return benchmark evaluation function.\n\n Returns:\n Callable[[int, Union[int, float, List[int, float], numpy.ndarray]], float]: Fitness function\n '
def evaluate(D, sol):
'Fitness function.\n\n Args:\n D (int): Dimensionality of t... | def function(self):
'Return benchmark evaluation function.\n\n Returns:\n Callable[[int, Union[int, float, List[int, float], numpy.ndarray]], float]: Fitness function\n '
def evaluate(D, sol):
'Fitness function.\n\n Args:\n D (int): Dimensionality of t... |
4fa9f34f37ba61fb5f19b88f45cd5e3693dc2c3ba4441bb72ed36f7a7174a804 | def evaluate(D, sol):
'Fitness function.\n\n Args:\n D (int): Dimensionality of the problem\n sol (Union[int, float, List[int, float], numpy.ndarray]): Solution to check.\n\n Returns:\n float: Fitness value for the solution.\n '
val =... | Fitness function.
Args:
D (int): Dimensionality of the problem
sol (Union[int, float, List[int, float], numpy.ndarray]): Solution to check.
Returns:
float: Fitness value for the solution. | NiaPy/benchmarks/quintic.py | evaluate | lucijabrezocnik/NiaPy | 0 | python | def evaluate(D, sol):
'Fitness function.\n\n Args:\n D (int): Dimensionality of the problem\n sol (Union[int, float, List[int, float], numpy.ndarray]): Solution to check.\n\n Returns:\n float: Fitness value for the solution.\n '
val =... | def evaluate(D, sol):
'Fitness function.\n\n Args:\n D (int): Dimensionality of the problem\n sol (Union[int, float, List[int, float], numpy.ndarray]): Solution to check.\n\n Returns:\n float: Fitness value for the solution.\n '
val =... |
c9332bd7166bc5a8b2a3e636499e6cbc8e9084177b3b0df8fa6e2c6eb64fe2af | def freeParameters(self):
'\n Roadrunner models do not have a concept of "free" or "fixed"\n parameters (maybe it should?). Either way, we add a cheeky method\n to the tellurium interface to roadrunner to return the names\n of the parameters we want to fit\n '
return ['k1', 'k2', 'k3'] | Roadrunner models do not have a concept of "free" or "fixed"
parameters (maybe it should?). Either way, we add a cheeky method
to the tellurium interface to roadrunner to return the names
of the parameters we want to fit | sresFromMoonfit/test/RoadrunnerProblemWithRL.py | freeParameters | CiaranWelsh/SRES | 1 | python | def freeParameters(self):
'\n Roadrunner models do not have a concept of "free" or "fixed"\n parameters (maybe it should?). Either way, we add a cheeky method\n to the tellurium interface to roadrunner to return the names\n of the parameters we want to fit\n '
return ['k1', 'k2', 'k3'] | def freeParameters(self):
'\n Roadrunner models do not have a concept of "free" or "fixed"\n parameters (maybe it should?). Either way, we add a cheeky method\n to the tellurium interface to roadrunner to return the names\n of the parameters we want to fit\n '
return ['k1', 'k2', 'k3']<|docstring... |
51c6a0667dd4eaa1878d61acd1f5affd589bdd1f8ba90740669cfc01da4cec69 | @SRES.COST_FUNCTION_CALLBACK
def cost_fun(parameters, fitness, constraints):
"\n Brief\n -----\n Compute difference between experimental dataset and model simulation with candidate parameters.\n This cost function is user defined and used as input to the main SRES algorithm. The input\n to this funct... | Brief
-----
Compute difference between experimental dataset and model simulation with candidate parameters.
This cost function is user defined and used as input to the main SRES algorithm. The input
to this function is always [parameters, fitness and constraints]. You do not need to worry
about generating candidate par... | sresFromMoonfit/test/RoadrunnerProblemWithRL.py | cost_fun | CiaranWelsh/SRES | 1 | python | @SRES.COST_FUNCTION_CALLBACK
def cost_fun(parameters, fitness, constraints):
"\n Brief\n -----\n Compute difference between experimental dataset and model simulation with candidate parameters.\n This cost function is user defined and used as input to the main SRES algorithm. The input\n to this funct... | @SRES.COST_FUNCTION_CALLBACK
def cost_fun(parameters, fitness, constraints):
"\n Brief\n -----\n Compute difference between experimental dataset and model simulation with candidate parameters.\n This cost function is user defined and used as input to the main SRES algorithm. The input\n to this funct... |
b7c3225891a10d859420a5e44a5cd9500d838e0d06ef9c8aed7e46ceb4d02e6d | def step(self, action: dict):
"Run one timestep of the environment's dynamics. When end of\n episode is reached, you are responsible for calling `reset()`\n to reset this environment's state.\n\n Accepts an action and returns a tuple (observation, reward, done, info).\n\n Args:\n ... | Run one timestep of the environment's dynamics. When end of
episode is reached, you are responsible for calling `reset()`
to reset this environment's state.
Accepts an action and returns a tuple (observation, reward, done, info).
Args:
action (object): an action provided by the agent
Returns:
observation (ob... | sresFromMoonfit/test/RoadrunnerProblemWithRL.py | step | CiaranWelsh/SRES | 1 | python | def step(self, action: dict):
"Run one timestep of the environment's dynamics. When end of\n episode is reached, you are responsible for calling `reset()`\n to reset this environment's state.\n\n Accepts an action and returns a tuple (observation, reward, done, info).\n\n Args:\n ... | def step(self, action: dict):
"Run one timestep of the environment's dynamics. When end of\n episode is reached, you are responsible for calling `reset()`\n to reset this environment's state.\n\n Accepts an action and returns a tuple (observation, reward, done, info).\n\n Args:\n ... |
82d9b483e59ace549efd5cf7d17bcee277fc0ee33d47f105b79ece3d38bb0ab9 | def reset(self):
"Resets the environment to an initial state and returns an initial\n observation.\n\n Note that this function should not reset the environment's random\n number generator(s); random variables in the environment's state should\n be sampled independently between multiple c... | Resets the environment to an initial state and returns an initial
observation.
Note that this function should not reset the environment's random
number generator(s); random variables in the environment's state should
be sampled independently between multiple calls to `reset()`. In other
words, each call of `reset()` s... | sresFromMoonfit/test/RoadrunnerProblemWithRL.py | reset | CiaranWelsh/SRES | 1 | python | def reset(self):
"Resets the environment to an initial state and returns an initial\n observation.\n\n Note that this function should not reset the environment's random\n number generator(s); random variables in the environment's state should\n be sampled independently between multiple c... | def reset(self):
"Resets the environment to an initial state and returns an initial\n observation.\n\n Note that this function should not reset the environment's random\n number generator(s); random variables in the environment's state should\n be sampled independently between multiple c... |
e70a2f98e8f7f555b7433ed1ffc9d2d472b2dcfd284e3b21df63429d0885b182 | def _query_scihub(opener, query):
'\n Get the data from the scihub catalogue\n and write it to a GeoPandas GeoDataFrame\n '
columns = ['identifier', 'polarisationmode', 'orbitdirection', 'acquisitiondate', 'relativeorbitnumber', 'orbitnumber', 'producttype', 'slicenumber', 'size', 'beginposition', 'end... | Get the data from the scihub catalogue
and write it to a GeoPandas GeoDataFrame | ost/s1/search.py | _query_scihub | d-chambers/OpenSarToolkit | 131 | python | def _query_scihub(opener, query):
'\n Get the data from the scihub catalogue\n and write it to a GeoPandas GeoDataFrame\n '
columns = ['identifier', 'polarisationmode', 'orbitdirection', 'acquisitiondate', 'relativeorbitnumber', 'orbitnumber', 'producttype', 'slicenumber', 'size', 'beginposition', 'end... | def _query_scihub(opener, query):
'\n Get the data from the scihub catalogue\n and write it to a GeoPandas GeoDataFrame\n '
columns = ['identifier', 'polarisationmode', 'orbitdirection', 'acquisitiondate', 'relativeorbitnumber', 'orbitnumber', 'producttype', 'slicenumber', 'size', 'beginposition', 'end... |
05076f54d2b9c0e34e2119b37eca3d025a6cda4a05fa1c945047bedb99850889 | def check_availability(inventory_gdf, download_dir, data_mount):
'This function checks if the data is already downloaded or\n available through a mount point on DIAS cloud\n\n :param inventory_gdf:\n :param download_dir:\n :param data_mount:\n :return:\n '
from ost import Sentinel1Scene
... | This function checks if the data is already downloaded or
available through a mount point on DIAS cloud
:param inventory_gdf:
:param download_dir:
:param data_mount:
:return: | ost/s1/search.py | check_availability | d-chambers/OpenSarToolkit | 131 | python | def check_availability(inventory_gdf, download_dir, data_mount):
'This function checks if the data is already downloaded or\n available through a mount point on DIAS cloud\n\n :param inventory_gdf:\n :param download_dir:\n :param data_mount:\n :return:\n '
from ost import Sentinel1Scene
... | def check_availability(inventory_gdf, download_dir, data_mount):
'This function checks if the data is already downloaded or\n available through a mount point on DIAS cloud\n\n :param inventory_gdf:\n :param download_dir:\n :param data_mount:\n :return:\n '
from ost import Sentinel1Scene
... |
35cfd1c6b70df3752d3aefd7e6a66c2710d42010bddf66a5d4ff49dfdcc62236 | def scihub_catalogue(query_string, output, append=False, uname=None, pword=None, base_url='https://apihub.copernicus.eu/apihub'):
'This is the main search function on scihub\n\n :param query_string:\n :param output:\n :param append:\n :param uname:\n :param pword:\n :return:\n '
output = st... | This is the main search function on scihub
:param query_string:
:param output:
:param append:
:param uname:
:param pword:
:return: | ost/s1/search.py | scihub_catalogue | d-chambers/OpenSarToolkit | 131 | python | def scihub_catalogue(query_string, output, append=False, uname=None, pword=None, base_url='https://apihub.copernicus.eu/apihub'):
'This is the main search function on scihub\n\n :param query_string:\n :param output:\n :param append:\n :param uname:\n :param pword:\n :return:\n '
output = st... | def scihub_catalogue(query_string, output, append=False, uname=None, pword=None, base_url='https://apihub.copernicus.eu/apihub'):
'This is the main search function on scihub\n\n :param query_string:\n :param output:\n :param append:\n :param uname:\n :param pword:\n :return:\n '
output = st... |
938497d7fe580abe80493a41f86db303f965e2f7856cbcf9aa1f49f5202c3e0c | def __get_acceptable(self):
'A list of symbols that the configuration would accept in its current state.'
return self.configuration.acceptableSymbols() | A list of symbols that the configuration would accept in its current state. | pyxb/utils/fac.py | __get_acceptable | maciekwawro/pyxb | 123 | python | def __get_acceptable(self):
return self.configuration.acceptableSymbols() | def __get_acceptable(self):
return self.configuration.acceptableSymbols()<|docstring|>A list of symbols that the configuration would accept in its current state.<|endoftext|> |
c09a4cd6e05eafaaec184ccce93dbdd93f66870143caa53749371583d5406554 | def __init__(self, symbol, is_initial, final_update=None, is_unordered_catenation=False):
'Create a FAC state.\n\n @param symbol: The symbol associated with the state.\n Normally initialized from the L{Symbol.metadata} value. The\n state may be entered if, among other conditions, the L{match}\... | Create a FAC state.
@param symbol: The symbol associated with the state.
Normally initialized from the L{Symbol.metadata} value. The
state may be entered if, among other conditions, the L{match}
routine accepts the proposed input as being consistent with
this value.
@param is_initial: C{True} iff this state may serv... | pyxb/utils/fac.py | __init__ | maciekwawro/pyxb | 123 | python | def __init__(self, symbol, is_initial, final_update=None, is_unordered_catenation=False):
'Create a FAC state.\n\n @param symbol: The symbol associated with the state.\n Normally initialized from the L{Symbol.metadata} value. The\n state may be entered if, among other conditions, the L{match}\... | def __init__(self, symbol, is_initial, final_update=None, is_unordered_catenation=False):
'Create a FAC state.\n\n @param symbol: The symbol associated with the state.\n Normally initialized from the L{Symbol.metadata} value. The\n state may be entered if, among other conditions, the L{match}\... |
2b16cbe72363e624c097738680fa0b8a5adb6289dac56f2da630cf6aae50faa3 | def __get_automaton(self):
'Link to the L{Automaton} to which the state belongs.'
return self.__automaton | Link to the L{Automaton} to which the state belongs. | pyxb/utils/fac.py | __get_automaton | maciekwawro/pyxb | 123 | python | def __get_automaton(self):
return self.__automaton | def __get_automaton(self):
return self.__automaton<|docstring|>Link to the L{Automaton} to which the state belongs.<|endoftext|> |
37662e4fa8dbeebd992a198650733dcf4ddbaa42aaff3ae1026de2d074e73868 | def _set_automaton(self, automaton):
'Method invoked during automaton construction to set state owner.'
assert (self.__automaton is None)
self.__automaton = automaton
return self | Method invoked during automaton construction to set state owner. | pyxb/utils/fac.py | _set_automaton | maciekwawro/pyxb | 123 | python | def _set_automaton(self, automaton):
assert (self.__automaton is None)
self.__automaton = automaton
return self | def _set_automaton(self, automaton):
assert (self.__automaton is None)
self.__automaton = automaton
return self<|docstring|>Method invoked during automaton construction to set state owner.<|endoftext|> |
fa309d42871994a6bdd612d59c196522b16e90389b77f3d9ea17a57c522047a3 | def __get_symbol(self):
'Application-specific metadata identifying the symbol.\n\n See also L{match}.'
return self.__symbol | Application-specific metadata identifying the symbol.
See also L{match}. | pyxb/utils/fac.py | __get_symbol | maciekwawro/pyxb | 123 | python | def __get_symbol(self):
'Application-specific metadata identifying the symbol.\n\n See also L{match}.'
return self.__symbol | def __get_symbol(self):
'Application-specific metadata identifying the symbol.\n\n See also L{match}.'
return self.__symbol<|docstring|>Application-specific metadata identifying the symbol.
See also L{match}.<|endoftext|> |
d02b5e75dee64ac894d3971c03bc4d70f837c44ab27b2650792be81187f558a8 | def __get_isUnorderedCatenation(self):
'Indicate whether the state has subautomata for unordered\n catenation.\n\n To reduce state explosion due to non-determinism, such a state\n executes internal transitions in subautomata until all terms\n have matched or a failure is discovered.'
... | Indicate whether the state has subautomata for unordered
catenation.
To reduce state explosion due to non-determinism, such a state
executes internal transitions in subautomata until all terms
have matched or a failure is discovered. | pyxb/utils/fac.py | __get_isUnorderedCatenation | maciekwawro/pyxb | 123 | python | def __get_isUnorderedCatenation(self):
'Indicate whether the state has subautomata for unordered\n catenation.\n\n To reduce state explosion due to non-determinism, such a state\n executes internal transitions in subautomata until all terms\n have matched or a failure is discovered.'
... | def __get_isUnorderedCatenation(self):
'Indicate whether the state has subautomata for unordered\n catenation.\n\n To reduce state explosion due to non-determinism, such a state\n executes internal transitions in subautomata until all terms\n have matched or a failure is discovered.'
... |
e76b5190169a256051a961683b72231ace6fda558dacb13a0632ce551cae1183 | def __get_subAutomata(self):
'A sequence of sub-automata supporting internal state transitions.\n\n This will return C{None} unless L{isUnorderedCatenation} is C{True}.'
return self.__subAutomata | A sequence of sub-automata supporting internal state transitions.
This will return C{None} unless L{isUnorderedCatenation} is C{True}. | pyxb/utils/fac.py | __get_subAutomata | maciekwawro/pyxb | 123 | python | def __get_subAutomata(self):
'A sequence of sub-automata supporting internal state transitions.\n\n This will return C{None} unless L{isUnorderedCatenation} is C{True}.'
return self.__subAutomata | def __get_subAutomata(self):
'A sequence of sub-automata supporting internal state transitions.\n\n This will return C{None} unless L{isUnorderedCatenation} is C{True}.'
return self.__subAutomata<|docstring|>A sequence of sub-automata supporting internal state transitions.
This will return C{None} unles... |
99c052bd935b4f8cf212477da4633da288b574a0bb39c6e38b1897c988e4b44a | def __get_isInitial(self):
'C{True} iff this state may be the first state the automaton enters.'
return self.__isInitial | C{True} iff this state may be the first state the automaton enters. | pyxb/utils/fac.py | __get_isInitial | maciekwawro/pyxb | 123 | python | def __get_isInitial(self):
return self.__isInitial | def __get_isInitial(self):
return self.__isInitial<|docstring|>C{True} iff this state may be the first state the automaton enters.<|endoftext|> |
24b2a6100dc2713d34a637ff4339d8b2a79596baa223ca829282ba5132c9f3ff | def __get_automatonEntryTransitions(self):
'Return the set of initial transitions allowing entry to the automata through this state.\n\n These are structurally-permitted transitions only, and must be\n filtered based on the symbol that might trigger the\n transition. The results are not filter... | Return the set of initial transitions allowing entry to the automata through this state.
These are structurally-permitted transitions only, and must be
filtered based on the symbol that might trigger the
transition. The results are not filtered based on counter
value, since this value is used to determine how the
con... | pyxb/utils/fac.py | __get_automatonEntryTransitions | maciekwawro/pyxb | 123 | python | def __get_automatonEntryTransitions(self):
'Return the set of initial transitions allowing entry to the automata through this state.\n\n These are structurally-permitted transitions only, and must be\n filtered based on the symbol that might trigger the\n transition. The results are not filter... | def __get_automatonEntryTransitions(self):
'Return the set of initial transitions allowing entry to the automata through this state.\n\n These are structurally-permitted transitions only, and must be\n filtered based on the symbol that might trigger the\n transition. The results are not filter... |
42e28a5355768fce8a342df453258586ac68d0fc330a0728a4b9035a9ae7df33 | def __get_finalUpdate(self):
'Return the update instructions that must be satisfied for this to be a final state.'
return self.__finalUpdate | Return the update instructions that must be satisfied for this to be a final state. | pyxb/utils/fac.py | __get_finalUpdate | maciekwawro/pyxb | 123 | python | def __get_finalUpdate(self):
return self.__finalUpdate | def __get_finalUpdate(self):
return self.__finalUpdate<|docstring|>Return the update instructions that must be satisfied for this to be a final state.<|endoftext|> |
155c5a656446b9b51c19666b941d47bbc1ce485a310e4ddf60a0e304891c4f08 | def subAutomataInitialTransitions(self, sub_automata=None):
'Return the set of candidate transitions to enter a sub-automaton of this state.\n\n @param sub_automata: A subset of the sub-automata of this\n state which should contribute to the result. If C{None}, all\n sub-automata are used.\n\n... | Return the set of candidate transitions to enter a sub-automaton of this state.
@param sub_automata: A subset of the sub-automata of this
state which should contribute to the result. If C{None}, all
sub-automata are used.
@return: A pair C{(nullable, transitions)} where C{nullable}
is C{True} iff there is at least o... | pyxb/utils/fac.py | subAutomataInitialTransitions | maciekwawro/pyxb | 123 | python | def subAutomataInitialTransitions(self, sub_automata=None):
'Return the set of candidate transitions to enter a sub-automaton of this state.\n\n @param sub_automata: A subset of the sub-automata of this\n state which should contribute to the result. If C{None}, all\n sub-automata are used.\n\n... | def subAutomataInitialTransitions(self, sub_automata=None):
'Return the set of candidate transitions to enter a sub-automaton of this state.\n\n @param sub_automata: A subset of the sub-automata of this\n state which should contribute to the result. If C{None}, all\n sub-automata are used.\n\n... |
f1828f55a517ecd95e52cd8ee0661b976f361e1fc2d3dea3392fd8f502405e7a | def isAccepting(self, counter_values):
'C{True} iff this state is an accepting state for the automaton.\n\n @param counter_values: Counter values that further validate\n whether the requirements of the automaton have been met.\n\n @return: C{True} if this is an accepting state and the\n ... | C{True} iff this state is an accepting state for the automaton.
@param counter_values: Counter values that further validate
whether the requirements of the automaton have been met.
@return: C{True} if this is an accepting state and the
counter values relevant at it are satisfied. | pyxb/utils/fac.py | isAccepting | maciekwawro/pyxb | 123 | python | def isAccepting(self, counter_values):
'C{True} iff this state is an accepting state for the automaton.\n\n @param counter_values: Counter values that further validate\n whether the requirements of the automaton have been met.\n\n @return: C{True} if this is an accepting state and the\n ... | def isAccepting(self, counter_values):
'C{True} iff this state is an accepting state for the automaton.\n\n @param counter_values: Counter values that further validate\n whether the requirements of the automaton have been met.\n\n @return: C{True} if this is an accepting state and the\n ... |
4cd4cb51ed7a04d068beae4bd1e4b46c5e346b8eff2b3148e32d9476d9685f8c | def __get_transitionSet(self):
'Definitions of viable transitions from this state.\n\n The transition set of a state is a set of L{Transition} nodes\n identifying a state reachable in a single step from this\n state, and a set of counter updates that must apply if the\n transition is tak... | Definitions of viable transitions from this state.
The transition set of a state is a set of L{Transition} nodes
identifying a state reachable in a single step from this
state, and a set of counter updates that must apply if the
transition is taken.
These transitions may not in themselves consume a symbol. For
examp... | pyxb/utils/fac.py | __get_transitionSet | maciekwawro/pyxb | 123 | python | def __get_transitionSet(self):
'Definitions of viable transitions from this state.\n\n The transition set of a state is a set of L{Transition} nodes\n identifying a state reachable in a single step from this\n state, and a set of counter updates that must apply if the\n transition is tak... | def __get_transitionSet(self):
'Definitions of viable transitions from this state.\n\n The transition set of a state is a set of L{Transition} nodes\n identifying a state reachable in a single step from this\n state, and a set of counter updates that must apply if the\n transition is tak... |
c93d0036efa66ece1cbb633273760cfd9996dd9e00192fd4b9fdf8ee18d4153e | def _set_transitionSet(self, transition_set):
'Method invoked during automaton construction to set the\n legal transitions from the state.\n\n The set of transitions cannot be defined until all states that\n appear in it are available, so the creation of the automaton\n requires that the... | Method invoked during automaton construction to set the
legal transitions from the state.
The set of transitions cannot be defined until all states that
appear in it are available, so the creation of the automaton
requires that the association of the transition set be
delayed. (Though described as a set, the transiti... | pyxb/utils/fac.py | _set_transitionSet | maciekwawro/pyxb | 123 | python | def _set_transitionSet(self, transition_set):
'Method invoked during automaton construction to set the\n legal transitions from the state.\n\n The set of transitions cannot be defined until all states that\n appear in it are available, so the creation of the automaton\n requires that the... | def _set_transitionSet(self, transition_set):
'Method invoked during automaton construction to set the\n legal transitions from the state.\n\n The set of transitions cannot be defined until all states that\n appear in it are available, so the creation of the automaton\n requires that the... |
b1be5774f35e5cf718ec504714c4f6144cd2fe545651aad79f9adee7f54d1e90 | def match(self, symbol):
'Return C{True} iff the symbol matches for this state.\n\n This may be overridden by subclasses when matching by\n equivalence does not work. Alternatively, if the symbol\n stored in this node is a subclass of L{SymbolMatch_mixin}, then\n its match method will b... | Return C{True} iff the symbol matches for this state.
This may be overridden by subclasses when matching by
equivalence does not work. Alternatively, if the symbol
stored in this node is a subclass of L{SymbolMatch_mixin}, then
its match method will be used. Otherwise C{symbol} matches
only if it is equal to the L{s... | pyxb/utils/fac.py | match | maciekwawro/pyxb | 123 | python | def match(self, symbol):
'Return C{True} iff the symbol matches for this state.\n\n This may be overridden by subclasses when matching by\n equivalence does not work. Alternatively, if the symbol\n stored in this node is a subclass of L{SymbolMatch_mixin}, then\n its match method will b... | def match(self, symbol):
'Return C{True} iff the symbol matches for this state.\n\n This may be overridden by subclasses when matching by\n equivalence does not work. Alternatively, if the symbol\n stored in this node is a subclass of L{SymbolMatch_mixin}, then\n its match method will b... |
678cbf810b869b86bcc279470d1224ae7c130953c6b1448efd74cbee3809639d | def __get_min(self):
'The minimum legal value for the counter.\n\n This is a non-negative integer.'
return self.__min | The minimum legal value for the counter.
This is a non-negative integer. | pyxb/utils/fac.py | __get_min | maciekwawro/pyxb | 123 | python | def __get_min(self):
'The minimum legal value for the counter.\n\n This is a non-negative integer.'
return self.__min | def __get_min(self):
'The minimum legal value for the counter.\n\n This is a non-negative integer.'
return self.__min<|docstring|>The minimum legal value for the counter.
This is a non-negative integer.<|endoftext|> |
5722ad9ddaac8898a6576c607f8276ce697cc0323b32cc4710e70af81dd83a69 | def __get_max(self):
'The maximum legal value for the counter.\n\n This is a positive integer, or C{None} to indicate that the\n counter is unbounded.'
return self.__max | The maximum legal value for the counter.
This is a positive integer, or C{None} to indicate that the
counter is unbounded. | pyxb/utils/fac.py | __get_max | maciekwawro/pyxb | 123 | python | def __get_max(self):
'The maximum legal value for the counter.\n\n This is a positive integer, or C{None} to indicate that the\n counter is unbounded.'
return self.__max | def __get_max(self):
'The maximum legal value for the counter.\n\n This is a positive integer, or C{None} to indicate that the\n counter is unbounded.'
return self.__max<|docstring|>The maximum legal value for the counter.
This is a positive integer, or C{None} to indicate that the
counter is unb... |
42db0a57764598881bf96b6ac1042504c0e009a045e89f82f40c81d46d2583fc | def __get_metadata(self):
'A pointer to application metadata provided when the condition was created.'
return self.__metadata | A pointer to application metadata provided when the condition was created. | pyxb/utils/fac.py | __get_metadata | maciekwawro/pyxb | 123 | python | def __get_metadata(self):
return self.__metadata | def __get_metadata(self):
return self.__metadata<|docstring|>A pointer to application metadata provided when the condition was created.<|endoftext|> |
073c53aa7789c2f3224340df7b5572112728849b348404319aa037e31894aa3f | def __init__(self, min, max, metadata=None):
'Create a counter condition.\n\n @param min: The value for L{min}\n @param max: The value for L{max}\n @param metadata: The value for L{metadata}\n '
self.__min = min
self.__max = max
self.__metadata = metadata | Create a counter condition.
@param min: The value for L{min}
@param max: The value for L{max}
@param metadata: The value for L{metadata} | pyxb/utils/fac.py | __init__ | maciekwawro/pyxb | 123 | python | def __init__(self, min, max, metadata=None):
'Create a counter condition.\n\n @param min: The value for L{min}\n @param max: The value for L{max}\n @param metadata: The value for L{metadata}\n '
self.__min = min
self.__max = max
self.__metadata = metadata | def __init__(self, min, max, metadata=None):
'Create a counter condition.\n\n @param min: The value for L{min}\n @param max: The value for L{max}\n @param metadata: The value for L{metadata}\n '
self.__min = min
self.__max = max
self.__metadata = metadata<|docstring|>Create a... |
b60947aa9029a3d761275db6a4eb2e849b901ed1333d946edbd8b685171f265d | def __get_counterCondition(self):
'A reference to the L{CounterCondition} identifying the\n counter to be updated.\n\n The counter condition instance is used as a key to the\n dictionary maintaining current counter values.'
return self.__counterCondition | A reference to the L{CounterCondition} identifying the
counter to be updated.
The counter condition instance is used as a key to the
dictionary maintaining current counter values. | pyxb/utils/fac.py | __get_counterCondition | maciekwawro/pyxb | 123 | python | def __get_counterCondition(self):
'A reference to the L{CounterCondition} identifying the\n counter to be updated.\n\n The counter condition instance is used as a key to the\n dictionary maintaining current counter values.'
return self.__counterCondition | def __get_counterCondition(self):
'A reference to the L{CounterCondition} identifying the\n counter to be updated.\n\n The counter condition instance is used as a key to the\n dictionary maintaining current counter values.'
return self.__counterCondition<|docstring|>A reference to the L{Cou... |
906c331571439917d1924bb98fa139edb7239ee82e69074c246e83bf129078f2 | def __get_doIncrement(self):
'C{True} if the counter is to be incremented; C{False} if it is to be reset.'
return self.__doIncrement | C{True} if the counter is to be incremented; C{False} if it is to be reset. | pyxb/utils/fac.py | __get_doIncrement | maciekwawro/pyxb | 123 | python | def __get_doIncrement(self):
return self.__doIncrement | def __get_doIncrement(self):
return self.__doIncrement<|docstring|>C{True} if the counter is to be incremented; C{False} if it is to be reset.<|endoftext|> |
7b48f68ff00b29b45d75e1e6aa7d86cad24b4fe95ca3b049bd0841eabe208740 | def __init__(self, counter_condition, do_increment):
'Create an update instruction.\n\n @param counter_condition: A L{CounterCondition} identifying a\n minimum and maximum value for a counter, and serving as a map\n key for the value of the corresponding counter.\n\n @param do_increment:... | Create an update instruction.
@param counter_condition: A L{CounterCondition} identifying a
minimum and maximum value for a counter, and serving as a map
key for the value of the corresponding counter.
@param do_increment: C{True} if the update is to increment
the value of the counter; C{False} if the update is to re... | pyxb/utils/fac.py | __init__ | maciekwawro/pyxb | 123 | python | def __init__(self, counter_condition, do_increment):
'Create an update instruction.\n\n @param counter_condition: A L{CounterCondition} identifying a\n minimum and maximum value for a counter, and serving as a map\n key for the value of the corresponding counter.\n\n @param do_increment:... | def __init__(self, counter_condition, do_increment):
'Create an update instruction.\n\n @param counter_condition: A L{CounterCondition} identifying a\n minimum and maximum value for a counter, and serving as a map\n key for the value of the corresponding counter.\n\n @param do_increment:... |
2c2cfa3c8086b06ebe5347b86a43c9e0dbac98f530dc233e37ad483b473b45ed | def satisfiedBy(self, counter_values):
'Implement a component of definition 5 from B{HOV09}.\n\n The update instruction is satisfied by the counter values if\n its action may be legitimately applied to the value of its\n associated counter.\n\n @param counter_values: A map from L{Counte... | Implement a component of definition 5 from B{HOV09}.
The update instruction is satisfied by the counter values if
its action may be legitimately applied to the value of its
associated counter.
@param counter_values: A map from L{CounterCondition}s to
non-negative integers
@return: C{True} or C{False} | pyxb/utils/fac.py | satisfiedBy | maciekwawro/pyxb | 123 | python | def satisfiedBy(self, counter_values):
'Implement a component of definition 5 from B{HOV09}.\n\n The update instruction is satisfied by the counter values if\n its action may be legitimately applied to the value of its\n associated counter.\n\n @param counter_values: A map from L{Counte... | def satisfiedBy(self, counter_values):
'Implement a component of definition 5 from B{HOV09}.\n\n The update instruction is satisfied by the counter values if\n its action may be legitimately applied to the value of its\n associated counter.\n\n @param counter_values: A map from L{Counte... |
b53954c0ca54a255c3cb5cb1d6db01af81adfce5593073e09cd899668e7e603a | @classmethod
def Satisfies(cls, counter_values, update_instructions):
'Return C{True} iff the counter values satisfy the update\n instructions.\n\n @param counter_values: A map from L{CounterCondition} to\n integer counter values\n\n @param update_instructions: A set of L{UpdateInstructi... | Return C{True} iff the counter values satisfy the update
instructions.
@param counter_values: A map from L{CounterCondition} to
integer counter values
@param update_instructions: A set of L{UpdateInstruction}
instances
@return: C{True} iff all instructions are satisfied by the
values and limits. | pyxb/utils/fac.py | Satisfies | maciekwawro/pyxb | 123 | python | @classmethod
def Satisfies(cls, counter_values, update_instructions):
'Return C{True} iff the counter values satisfy the update\n instructions.\n\n @param counter_values: A map from L{CounterCondition} to\n integer counter values\n\n @param update_instructions: A set of L{UpdateInstructi... | @classmethod
def Satisfies(cls, counter_values, update_instructions):
'Return C{True} iff the counter values satisfy the update\n instructions.\n\n @param counter_values: A map from L{CounterCondition} to\n integer counter values\n\n @param update_instructions: A set of L{UpdateInstructi... |
84a3ba255bed317474ebcca2b55ae6f6467f2ed50d2baf41edc08687834dec7c | def apply(self, counter_values):
'Apply the update instruction to the provided counter values.\n\n @param counter_values: A map from L{CounterCondition} to\n integer counter values. This map is updated in-place.'
if (not self.satisfiedBy(counter_values)):
raise UpdateApplicationError(self... | Apply the update instruction to the provided counter values.
@param counter_values: A map from L{CounterCondition} to
integer counter values. This map is updated in-place. | pyxb/utils/fac.py | apply | maciekwawro/pyxb | 123 | python | def apply(self, counter_values):
'Apply the update instruction to the provided counter values.\n\n @param counter_values: A map from L{CounterCondition} to\n integer counter values. This map is updated in-place.'
if (not self.satisfiedBy(counter_values)):
raise UpdateApplicationError(self... | def apply(self, counter_values):
'Apply the update instruction to the provided counter values.\n\n @param counter_values: A map from L{CounterCondition} to\n integer counter values. This map is updated in-place.'
if (not self.satisfiedBy(counter_values)):
raise UpdateApplicationError(self... |
771f09018cc23ca61c527bba4abb2196e64382ed9be6160ab9ba583870488a4a | @classmethod
def Apply(cls, update_instructions, counter_values):
'Apply the update instructions to the counter values.\n\n @param update_instructions: A set of L{UpdateInstruction}\n instances.\n\n @param counter_values: A map from L{CounterCondition}\n instances to non-negative integer... | Apply the update instructions to the counter values.
@param update_instructions: A set of L{UpdateInstruction}
instances.
@param counter_values: A map from L{CounterCondition}
instances to non-negative integers. This map is updated
in-place by applying each instruction in
C{update_instructions}. | pyxb/utils/fac.py | Apply | maciekwawro/pyxb | 123 | python | @classmethod
def Apply(cls, update_instructions, counter_values):
'Apply the update instructions to the counter values.\n\n @param update_instructions: A set of L{UpdateInstruction}\n instances.\n\n @param counter_values: A map from L{CounterCondition}\n instances to non-negative integer... | @classmethod
def Apply(cls, update_instructions, counter_values):
'Apply the update instructions to the counter values.\n\n @param update_instructions: A set of L{UpdateInstruction}\n instances.\n\n @param counter_values: A map from L{CounterCondition}\n instances to non-negative integer... |
5cd41080797adcbb3a3b99b3dea2ea97ff261949455c810a88e45bc7f8b1438b | def __get_destination(self):
'The transition destination state.'
return self.__destination | The transition destination state. | pyxb/utils/fac.py | __get_destination | maciekwawro/pyxb | 123 | python | def __get_destination(self):
return self.__destination | def __get_destination(self):
return self.__destination<|docstring|>The transition destination state.<|endoftext|> |
0af89c42ad447b5391b121c8029b37040d6e713203e2e0e4b68278a4c36d1955 | def __get_updateInstructions(self):
'The set of counter updates that are applied when the transition is taken.'
return self.__updateInstructions | The set of counter updates that are applied when the transition is taken. | pyxb/utils/fac.py | __get_updateInstructions | maciekwawro/pyxb | 123 | python | def __get_updateInstructions(self):
return self.__updateInstructions | def __get_updateInstructions(self):
return self.__updateInstructions<|docstring|>The set of counter updates that are applied when the transition is taken.<|endoftext|> |
49110cefcf48cca8c6944a08217dfaaf8b16ce7a1a38fee934bc0fa01e706c1a | def __get_nextTransition(self):
'The next transition to apply in this chain.\n\n C{None} if this is the last transition in the chain.'
return self.__nextTransition | The next transition to apply in this chain.
C{None} if this is the last transition in the chain. | pyxb/utils/fac.py | __get_nextTransition | maciekwawro/pyxb | 123 | python | def __get_nextTransition(self):
'The next transition to apply in this chain.\n\n C{None} if this is the last transition in the chain.'
return self.__nextTransition | def __get_nextTransition(self):
'The next transition to apply in this chain.\n\n C{None} if this is the last transition in the chain.'
return self.__nextTransition<|docstring|>The next transition to apply in this chain.
C{None} if this is the last transition in the chain.<|endoftext|> |
92b597d5c493066c1f562222e50c629cca475a486c379346de3d47d0931bd4a7 | def __get_layerLink(self):
'A directive relating to changing automaton layer on transition.\n\n C{None} indicates this transition is from one state to another\n within a single automaton.\n\n An instance of L{Configuration} is a transition on completion\n of a subautomaton back to the co... | A directive relating to changing automaton layer on transition.
C{None} indicates this transition is from one state to another
within a single automaton.
An instance of L{Configuration} is a transition on completion
of a subautomaton back to the configuration in the parent
automaton. The L{destination} is the state ... | pyxb/utils/fac.py | __get_layerLink | maciekwawro/pyxb | 123 | python | def __get_layerLink(self):
'A directive relating to changing automaton layer on transition.\n\n C{None} indicates this transition is from one state to another\n within a single automaton.\n\n An instance of L{Configuration} is a transition on completion\n of a subautomaton back to the co... | def __get_layerLink(self):
'A directive relating to changing automaton layer on transition.\n\n C{None} indicates this transition is from one state to another\n within a single automaton.\n\n An instance of L{Configuration} is a transition on completion\n of a subautomaton back to the co... |
3f812b0b40599f56b386563b6ae87d84f6598cb47a49dba20b6c27a444d8843c | def __init__(self, destination, update_instructions, layer_link=None):
'Create a transition to a state.\n\n @param destination: the state into which the transition is\n made\n\n @param update_instructions: A iterable of L{UpdateInstruction}s\n denoting the changes that must be made to co... | Create a transition to a state.
@param destination: the state into which the transition is
made
@param update_instructions: A iterable of L{UpdateInstruction}s
denoting the changes that must be made to counters as a
consequence of taking the transition.
@keyword layer_link: The value for L{layerLink}. | pyxb/utils/fac.py | __init__ | maciekwawro/pyxb | 123 | python | def __init__(self, destination, update_instructions, layer_link=None):
'Create a transition to a state.\n\n @param destination: the state into which the transition is\n made\n\n @param update_instructions: A iterable of L{UpdateInstruction}s\n denoting the changes that must be made to co... | def __init__(self, destination, update_instructions, layer_link=None):
'Create a transition to a state.\n\n @param destination: the state into which the transition is\n made\n\n @param update_instructions: A iterable of L{UpdateInstruction}s\n denoting the changes that must be made to co... |
781f07226e6d18d177e5f49e23e882a2f490c513050407cd420186d1947751d0 | def consumingState(self):
'Return the state in this transition chain that must match a symbol.'
if (self.__destination.subAutomata is not None):
if (not self.__nextTransition):
return None
return self.__nextTransition.consumingState()
assert (self.__nextTransition is None)
re... | Return the state in this transition chain that must match a symbol. | pyxb/utils/fac.py | consumingState | maciekwawro/pyxb | 123 | python | def consumingState(self):
if (self.__destination.subAutomata is not None):
if (not self.__nextTransition):
return None
return self.__nextTransition.consumingState()
assert (self.__nextTransition is None)
return self.__destination | def consumingState(self):
if (self.__destination.subAutomata is not None):
if (not self.__nextTransition):
return None
return self.__nextTransition.consumingState()
assert (self.__nextTransition is None)
return self.__destination<|docstring|>Return the state in this transiti... |
0945b3fb5749bb218f3ddc9e1259bfbebd7e6b0c1afe954023b064185b567bb4 | def consumedSymbol(self):
'Return the L{symbol<State.symbol>} of the L{consumingState}.'
return self.consumingState().symbol | Return the L{symbol<State.symbol>} of the L{consumingState}. | pyxb/utils/fac.py | consumedSymbol | maciekwawro/pyxb | 123 | python | def consumedSymbol(self):
return self.consumingState().symbol | def consumedSymbol(self):
return self.consumingState().symbol<|docstring|>Return the L{symbol<State.symbol>} of the L{consumingState}.<|endoftext|> |
7a325a859ac885b2747ddb977384ada4b59008f232dc412c461ca24d74a2ab37 | def satisfiedBy(self, configuration):
'Check the transition update instructions against\n configuration counter values.\n\n This implementation follows layer changes, updating the\n configuration used as counter value source as necessary.\n\n @param configuration: A L{Configuration} inst... | Check the transition update instructions against
configuration counter values.
This implementation follows layer changes, updating the
configuration used as counter value source as necessary.
@param configuration: A L{Configuration} instance containing
counter data against which update instruction satisfaction is
che... | pyxb/utils/fac.py | satisfiedBy | maciekwawro/pyxb | 123 | python | def satisfiedBy(self, configuration):
'Check the transition update instructions against\n configuration counter values.\n\n This implementation follows layer changes, updating the\n configuration used as counter value source as necessary.\n\n @param configuration: A L{Configuration} inst... | def satisfiedBy(self, configuration):
'Check the transition update instructions against\n configuration counter values.\n\n This implementation follows layer changes, updating the\n configuration used as counter value source as necessary.\n\n @param configuration: A L{Configuration} inst... |
45c2cd231d04cbf9896f9fd86fd55094092eec55945a0a6c5e28388a0a41115d | def apply(self, configuration, clone_map=None):
'Apply the transitition to a configuration.\n\n This updates the configuration counter values based on the\n update instructions, and sets the new configuration state.\n\n @note: If the transition involves leaving a sub-automaton or\n creat... | Apply the transitition to a configuration.
This updates the configuration counter values based on the
update instructions, and sets the new configuration state.
@note: If the transition involves leaving a sub-automaton or
creating a new sub-automaton, the returned configuration
structure will be different from the on... | pyxb/utils/fac.py | apply | maciekwawro/pyxb | 123 | python | def apply(self, configuration, clone_map=None):
'Apply the transitition to a configuration.\n\n This updates the configuration counter values based on the\n update instructions, and sets the new configuration state.\n\n @note: If the transition involves leaving a sub-automaton or\n creat... | def apply(self, configuration, clone_map=None):
'Apply the transitition to a configuration.\n\n This updates the configuration counter values based on the\n update instructions, and sets the new configuration state.\n\n @note: If the transition involves leaving a sub-automaton or\n creat... |
588848a31c52d339fed10c76395885524875c9964db6f27b73da8bf3412623ee | def chainTo(self, next_transition):
'Duplicate the state and chain the duplicate to a successor\n transition.\n\n This returns a new transition which applies the operation for\n this transition, then proceeds to apply the next transition in\n the chain.\n\n @note: The node that is... | Duplicate the state and chain the duplicate to a successor
transition.
This returns a new transition which applies the operation for
this transition, then proceeds to apply the next transition in
the chain.
@note: The node that is invoking this must not have successor
transitions.
@param next_transition: A L{Transit... | pyxb/utils/fac.py | chainTo | maciekwawro/pyxb | 123 | python | def chainTo(self, next_transition):
'Duplicate the state and chain the duplicate to a successor\n transition.\n\n This returns a new transition which applies the operation for\n this transition, then proceeds to apply the next transition in\n the chain.\n\n @note: The node that is... | def chainTo(self, next_transition):
'Duplicate the state and chain the duplicate to a successor\n transition.\n\n This returns a new transition which applies the operation for\n this transition, then proceeds to apply the next transition in\n the chain.\n\n @note: The node that is... |
41f0992b50b9299a7ded6989a2a840f959906509c4b40f0562f30ec8011d0d17 | def makeEnterAutomatonTransition(self):
'Replicate the transition as a layer link into its automaton.\n\n This is used on initial transitions into sub-automata where a\n sub-configuration must be created and recorded.'
assert (self.__layerLink is None)
assert (self.__nextTransition is None)
... | Replicate the transition as a layer link into its automaton.
This is used on initial transitions into sub-automata where a
sub-configuration must be created and recorded. | pyxb/utils/fac.py | makeEnterAutomatonTransition | maciekwawro/pyxb | 123 | python | def makeEnterAutomatonTransition(self):
'Replicate the transition as a layer link into its automaton.\n\n This is used on initial transitions into sub-automata where a\n sub-configuration must be created and recorded.'
assert (self.__layerLink is None)
assert (self.__nextTransition is None)
... | def makeEnterAutomatonTransition(self):
'Replicate the transition as a layer link into its automaton.\n\n This is used on initial transitions into sub-automata where a\n sub-configuration must be created and recorded.'
assert (self.__layerLink is None)
assert (self.__nextTransition is None)
... |
1df0714402dca463279e0b0370295278128cb382758eb0a7dc9b496f6449f984 | def acceptableSymbols(self):
'Return the acceptable L{Symbol}s given the current\n configuration.\n\n This method extracts the symbol from all candidate transitions\n that are permitted based on the current counter values.\n Because transitions are presented in a preferred order, the\n ... | Return the acceptable L{Symbol}s given the current
configuration.
This method extracts the symbol from all candidate transitions
that are permitted based on the current counter values.
Because transitions are presented in a preferred order, the
symbols are as well. | pyxb/utils/fac.py | acceptableSymbols | maciekwawro/pyxb | 123 | python | def acceptableSymbols(self):
'Return the acceptable L{Symbol}s given the current\n configuration.\n\n This method extracts the symbol from all candidate transitions\n that are permitted based on the current counter values.\n Because transitions are presented in a preferred order, the\n ... | def acceptableSymbols(self):
'Return the acceptable L{Symbol}s given the current\n configuration.\n\n This method extracts the symbol from all candidate transitions\n that are permitted based on the current counter values.\n Because transitions are presented in a preferred order, the\n ... |
17a03268c5198a4f9e008c0d34af4029044e8079db12ade2bdc5d36456050a81 | def step(self, symbol):
"Execute an automaton transition using the given symbol.\n\n @param symbol: A symbol from the alphabet of the automaton's\n language. This is a Python value that should be accepted by\n the L{SymbolMatch_mixin.match} method of a L{State.symbol}.\n It is not a L{S... | Execute an automaton transition using the given symbol.
@param symbol: A symbol from the alphabet of the automaton's
language. This is a Python value that should be accepted by
the L{SymbolMatch_mixin.match} method of a L{State.symbol}.
It is not a L{Symbol} instance.
@return: The new configuration resulting from th... | pyxb/utils/fac.py | step | maciekwawro/pyxb | 123 | python | def step(self, symbol):
"Execute an automaton transition using the given symbol.\n\n @param symbol: A symbol from the alphabet of the automaton's\n language. This is a Python value that should be accepted by\n the L{SymbolMatch_mixin.match} method of a L{State.symbol}.\n It is not a L{S... | def step(self, symbol):
"Execute an automaton transition using the given symbol.\n\n @param symbol: A symbol from the alphabet of the automaton's\n language. This is a Python value that should be accepted by\n the L{SymbolMatch_mixin.match} method of a L{State.symbol}.\n It is not a L{S... |
e2a649ec4d8015e2614a2ca3a85cdc4174b2fa1dddf4afca1d1fb7bdf24a7896 | def __get_state(self):
"The state of the configuration.\n\n This is C{None} to indicate an initial state, or one of the underlying automaton's states."
return self.__state | The state of the configuration.
This is C{None} to indicate an initial state, or one of the underlying automaton's states. | pyxb/utils/fac.py | __get_state | maciekwawro/pyxb | 123 | python | def __get_state(self):
"The state of the configuration.\n\n This is C{None} to indicate an initial state, or one of the underlying automaton's states."
return self.__state | def __get_state(self):
"The state of the configuration.\n\n This is C{None} to indicate an initial state, or one of the underlying automaton's states."
return self.__state<|docstring|>The state of the configuration.
This is C{None} to indicate an initial state, or one of the underlying automaton's state... |
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