id int32 0 252k | repo stringlengths 7 55 | path stringlengths 4 127 | func_name stringlengths 1 88 | original_string stringlengths 75 19.8k | language stringclasses 1
value | code stringlengths 75 19.8k | code_tokens list | docstring stringlengths 3 17.3k | docstring_tokens list | sha stringlengths 40 40 | url stringlengths 87 242 |
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220,200 | influxdata/influxdb-python | influxdb/client.py | InfluxDBClient.delete_series | def delete_series(self, database=None, measurement=None, tags=None):
"""Delete series from a database.
Series must be filtered by either measurement and tags.
This method cannot be used to delete all series, use
`drop_database` instead.
:param database: the database from which ... | python | def delete_series(self, database=None, measurement=None, tags=None):
"""Delete series from a database.
Series must be filtered by either measurement and tags.
This method cannot be used to delete all series, use
`drop_database` instead.
:param database: the database from which ... | [
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Series must be filtered by either measurement and tags.
This method cannot be used to delete all series, use
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:param database: the database from which the series should be
deleted, defaults to client's current database
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220,201 | influxdata/influxdb-python | influxdb/client.py | InfluxDBClient.get_list_privileges | def get_list_privileges(self, username):
"""Get the list of all privileges granted to given user.
:param username: the username to get privileges of
:type username: str
:returns: all privileges granted to given user
:rtype: list of dictionaries
:Example:
::
... | python | def get_list_privileges(self, username):
"""Get the list of all privileges granted to given user.
:param username: the username to get privileges of
:type username: str
:returns: all privileges granted to given user
:rtype: list of dictionaries
:Example:
::
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:param username: the username to get privileges of
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:Example:
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>> privileges = client.get_list_privilege... | [
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220,202 | influxdata/influxdb-python | influxdb/client.py | InfluxDBClient.get_list_continuous_queries | def get_list_continuous_queries(self):
"""Get the list of continuous queries in InfluxDB.
:return: all CQs in InfluxDB
:rtype: list of dictionaries
:Example:
::
>> cqs = client.get_list_cqs()
>> cqs
[
{
u... | python | def get_list_continuous_queries(self):
"""Get the list of continuous queries in InfluxDB.
:return: all CQs in InfluxDB
:rtype: list of dictionaries
:Example:
::
>> cqs = client.get_list_cqs()
>> cqs
[
{
u... | [
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:return: all CQs in InfluxDB
:rtype: list of dictionaries
:Example:
::
>> cqs = client.get_list_cqs()
>> cqs
[
{
u'db1': []
},
{
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220,203 | influxdata/influxdb-python | influxdb/client.py | InfluxDBClient.create_continuous_query | def create_continuous_query(self, name, select, database=None,
resample_opts=None):
r"""Create a continuous query for a database.
:param name: the name of continuous query to create
:type name: str
:param select: select statement for the continuous query
... | python | def create_continuous_query(self, name, select, database=None,
resample_opts=None):
r"""Create a continuous query for a database.
:param name: the name of continuous query to create
:type name: str
:param select: select statement for the continuous query
... | [
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:param name: the name of continuous query to create
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:param database: the database for which the continuous query is
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220,204 | influxdata/influxdb-python | influxdb/client.py | InfluxDBClient.drop_continuous_query | def drop_continuous_query(self, name, database=None):
"""Drop an existing continuous query for a database.
:param name: the name of continuous query to drop
:type name: str
:param database: the database for which the continuous query is
dropped. Defaults to current client's ... | python | def drop_continuous_query(self, name, database=None):
"""Drop an existing continuous query for a database.
:param name: the name of continuous query to drop
:type name: str
:param database: the database for which the continuous query is
dropped. Defaults to current client's ... | [
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:param name: the name of continuous query to drop
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:param database: the database for which the continuous query is
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:type database: str | [
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220,205 | influxdata/influxdb-python | influxdb/client.py | InfluxDBClient.send_packet | def send_packet(self, packet, protocol='json', time_precision=None):
"""Send an UDP packet.
:param packet: the packet to be sent
:type packet: (if protocol is 'json') dict
(if protocol is 'line') list of line protocol strings
:param protocol: protocol of input data... | python | def send_packet(self, packet, protocol='json', time_precision=None):
"""Send an UDP packet.
:param packet: the packet to be sent
:type packet: (if protocol is 'json') dict
(if protocol is 'line') list of line protocol strings
:param protocol: protocol of input data... | [
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:param packet: the packet to be sent
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:param protocol: protocol of input data, either 'json' or 'line'
:type protocol: str
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220,206 | influxdata/influxdb-python | influxdb/client.py | InfluxDBClient.close | def close(self):
"""Close http session."""
if isinstance(self._session, requests.Session):
self._session.close() | python | def close(self):
"""Close http session."""
if isinstance(self._session, requests.Session):
self._session.close() | [
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220,207 | influxdata/influxdb-python | influxdb/chunked_json.py | loads | def loads(s):
"""Generate a sequence of JSON values from a string."""
_decoder = json.JSONDecoder()
while s:
s = s.strip()
obj, pos = _decoder.raw_decode(s)
if not pos:
raise ValueError('no JSON object found at %i' % pos)
yield obj
s = s[pos:] | python | def loads(s):
"""Generate a sequence of JSON values from a string."""
_decoder = json.JSONDecoder()
while s:
s = s.strip()
obj, pos = _decoder.raw_decode(s)
if not pos:
raise ValueError('no JSON object found at %i' % pos)
yield obj
s = s[pos:] | [
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220,208 | influxdata/influxdb-python | influxdb/influxdb08/helper.py | SeriesHelper.commit | def commit(cls, client=None):
"""Commit everything from datapoints via the client.
:param client: InfluxDBClient instance for writing points to InfluxDB.
:attention: any provided client will supersede the class client.
:return: result of client.write_points.
"""
if not c... | python | def commit(cls, client=None):
"""Commit everything from datapoints via the client.
:param client: InfluxDBClient instance for writing points to InfluxDB.
:attention: any provided client will supersede the class client.
:return: result of client.write_points.
"""
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220,209 | influxdata/influxdb-python | influxdb/influxdb08/helper.py | SeriesHelper._json_body_ | def _json_body_(cls):
"""Return JSON body of the datapoints.
:return: JSON body of the datapoints.
"""
json = []
for series_name, data in six.iteritems(cls._datapoints):
json.append({'name': series_name,
'columns': cls._fields,
... | python | def _json_body_(cls):
"""Return JSON body of the datapoints.
:return: JSON body of the datapoints.
"""
json = []
for series_name, data in six.iteritems(cls._datapoints):
json.append({'name': series_name,
'columns': cls._fields,
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220,210 | influxdata/influxdb-python | influxdb/_dataframe_client.py | DataFrameClient.query | def query(self,
query,
params=None,
bind_params=None,
epoch=None,
expected_response_code=200,
database=None,
raise_errors=True,
chunked=False,
chunk_size=0,
method="GET",
... | python | def query(self,
query,
params=None,
bind_params=None,
epoch=None,
expected_response_code=200,
database=None,
raise_errors=True,
chunked=False,
chunk_size=0,
method="GET",
... | [
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.. danger::
In order to avoid injection vulnerabilities (similar to `SQL
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220,211 | influxdata/influxdb-python | examples/tutorial.py | main | def main(host='localhost', port=8086):
"""Instantiate a connection to the InfluxDB."""
user = 'root'
password = 'root'
dbname = 'example'
dbuser = 'smly'
dbuser_password = 'my_secret_password'
query = 'select Float_value from cpu_load_short;'
query_where = 'select Int_value from cpu_load... | python | def main(host='localhost', port=8086):
"""Instantiate a connection to the InfluxDB."""
user = 'root'
password = 'root'
dbname = 'example'
dbuser = 'smly'
dbuser_password = 'my_secret_password'
query = 'select Float_value from cpu_load_short;'
query_where = 'select Int_value from cpu_load... | [
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220,212 | influxdata/influxdb-python | examples/tutorial_udp.py | main | def main(uport):
"""Instantiate connection to the InfluxDB."""
# NOTE: structure of the UDP packet is different than that of information
# sent via HTTP
json_body = {
"tags": {
"host": "server01",
"region": "us-west"
},
"time": "2009-11-10T23:00:00Z"... | python | def main(uport):
"""Instantiate connection to the InfluxDB."""
# NOTE: structure of the UDP packet is different than that of information
# sent via HTTP
json_body = {
"tags": {
"host": "server01",
"region": "us-west"
},
"time": "2009-11-10T23:00:00Z"... | [
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220,213 | influxdata/influxdb-python | influxdb/helper.py | SeriesHelper._json_body_ | def _json_body_(cls):
"""Return the JSON body of given datapoints.
:return: JSON body of these datapoints.
"""
json = []
for series_name, data in six.iteritems(cls._datapoints):
for point in data:
json_point = {
"measurement": seri... | python | def _json_body_(cls):
"""Return the JSON body of given datapoints.
:return: JSON body of these datapoints.
"""
json = []
for series_name, data in six.iteritems(cls._datapoints):
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220,214 | influxdata/influxdb-python | examples/tutorial_server_data.py | main | def main(host='localhost', port=8086, nb_day=15):
"""Instantiate a connection to the backend."""
nb_day = 15 # number of day to generate time series
timeinterval_min = 5 # create an event every x minutes
total_minutes = 1440 * nb_day
total_records = int(total_minutes / timeinterval_min)
now = ... | python | def main(host='localhost', port=8086, nb_day=15):
"""Instantiate a connection to the backend."""
nb_day = 15 # number of day to generate time series
timeinterval_min = 5 # create an event every x minutes
total_minutes = 1440 * nb_day
total_records = int(total_minutes / timeinterval_min)
now = ... | [
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220,215 | influxdata/influxdb-python | examples/tutorial_sine_wave.py | main | def main(host='localhost', port=8086):
"""Define function to generate the sin wave."""
now = datetime.datetime.today()
points = []
for angle in range(0, 360):
y = 10 + math.sin(math.radians(angle)) * 10
point = {
"measurement": 'foobar',
"time": int(now.strftime... | python | def main(host='localhost', port=8086):
"""Define function to generate the sin wave."""
now = datetime.datetime.today()
points = []
for angle in range(0, 360):
y = 10 + math.sin(math.radians(angle)) * 10
point = {
"measurement": 'foobar',
"time": int(now.strftime... | [
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220,216 | influxdata/influxdb-python | influxdb/resultset.py | ResultSet.get_points | def get_points(self, measurement=None, tags=None):
"""Return a generator for all the points that match the given filters.
:param measurement: The measurement name
:type measurement: str
:param tags: Tags to look for
:type tags: dict
:return: Points generator
""... | python | def get_points(self, measurement=None, tags=None):
"""Return a generator for all the points that match the given filters.
:param measurement: The measurement name
:type measurement: str
:param tags: Tags to look for
:type tags: dict
:return: Points generator
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220,217 | influxdata/influxdb-python | influxdb/resultset.py | ResultSet.keys | def keys(self):
"""Return the list of keys in the ResultSet.
:return: List of keys. Keys are tuples (series_name, tags)
"""
keys = []
for series in self._get_series():
keys.append(
(series.get('measurement',
series.get('nam... | python | def keys(self):
"""Return the list of keys in the ResultSet.
:return: List of keys. Keys are tuples (series_name, tags)
"""
keys = []
for series in self._get_series():
keys.append(
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220,218 | influxdata/influxdb-python | influxdb/resultset.py | ResultSet.items | def items(self):
"""Return the set of items from the ResultSet.
:return: List of tuples, (key, generator)
"""
items = []
for series in self._get_series():
series_key = (series.get('measurement',
series.get('name', 'results')),
... | python | def items(self):
"""Return the set of items from the ResultSet.
:return: List of tuples, (key, generator)
"""
items = []
for series in self._get_series():
series_key = (series.get('measurement',
series.get('name', 'results')),
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220,219 | influxdata/influxdb-python | influxdb/resultset.py | ResultSet._get_points_for_series | def _get_points_for_series(self, series):
"""Return generator of dict from columns and values of a series.
:param series: One series
:return: Generator of dicts
"""
for point in series.get('values', []):
yield self.point_from_cols_vals(
series['column... | python | def _get_points_for_series(self, series):
"""Return generator of dict from columns and values of a series.
:param series: One series
:return: Generator of dicts
"""
for point in series.get('values', []):
yield self.point_from_cols_vals(
series['column... | [
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220,220 | influxdata/influxdb-python | influxdb/resultset.py | ResultSet.point_from_cols_vals | def point_from_cols_vals(cols, vals):
"""Create a dict from columns and values lists.
:param cols: List of columns
:param vals: List of values
:return: Dict where keys are columns.
"""
point = {}
for col_index, col_name in enumerate(cols):
point[col_n... | python | def point_from_cols_vals(cols, vals):
"""Create a dict from columns and values lists.
:param cols: List of columns
:param vals: List of values
:return: Dict where keys are columns.
"""
point = {}
for col_index, col_name in enumerate(cols):
point[col_n... | [
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220,221 | influxdata/influxdb-python | influxdb/influxdb08/client.py | InfluxDBClient.from_dsn | def from_dsn(dsn, **kwargs):
r"""Return an instaance of InfluxDBClient from given data source name.
Returns an instance of InfluxDBClient from the provided data source
name. Supported schemes are "influxdb", "https+influxdb",
"udp+influxdb". Parameters for the InfluxDBClient constructor... | python | def from_dsn(dsn, **kwargs):
r"""Return an instaance of InfluxDBClient from given data source name.
Returns an instance of InfluxDBClient from the provided data source
name. Supported schemes are "influxdb", "https+influxdb",
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220,222 | influxdata/influxdb-python | influxdb/influxdb08/client.py | InfluxDBClient.request | def request(self, url, method='GET', params=None, data=None,
expected_response_code=200):
"""Make a http request to API."""
url = "{0}/{1}".format(self._baseurl, url)
if params is None:
params = {}
auth = {
'u': self._username,
'p': s... | python | def request(self, url, method='GET', params=None, data=None,
expected_response_code=200):
"""Make a http request to API."""
url = "{0}/{1}".format(self._baseurl, url)
if params is None:
params = {}
auth = {
'u': self._username,
'p': s... | [
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220,223 | influxdata/influxdb-python | influxdb/influxdb08/client.py | InfluxDBClient.write | def write(self, data):
"""Provide as convenience for influxdb v0.9.0, this may change."""
self.request(
url="write",
method='POST',
params=None,
data=data,
expected_response_code=200
)
return True | python | def write(self, data):
"""Provide as convenience for influxdb v0.9.0, this may change."""
self.request(
url="write",
method='POST',
params=None,
data=data,
expected_response_code=200
)
return True | [
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220,224 | influxdata/influxdb-python | influxdb/influxdb08/client.py | InfluxDBClient.delete_points | def delete_points(self, name):
"""Delete an entire series."""
url = "db/{0}/series/{1}".format(self._database, name)
self.request(
url=url,
method='DELETE',
expected_response_code=204
)
return True | python | def delete_points(self, name):
"""Delete an entire series."""
url = "db/{0}/series/{1}".format(self._database, name)
self.request(
url=url,
method='DELETE',
expected_response_code=204
)
return True | [
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220,225 | influxdata/influxdb-python | influxdb/influxdb08/client.py | InfluxDBClient.query | def query(self, query, time_precision='s', chunked=False):
"""Query data from the influxdb v0.8 database.
:param time_precision: [Optional, default 's'] Either 's', 'm', 'ms'
or 'u'.
:param chunked: [Optional, default=False] True if the data shall be
retrieved in chunks,... | python | def query(self, query, time_precision='s', chunked=False):
"""Query data from the influxdb v0.8 database.
:param time_precision: [Optional, default 's'] Either 's', 'm', 'ms'
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:param chunked: [Optional, default=False] True if the data shall be
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220,226 | influxdata/influxdb-python | influxdb/influxdb08/client.py | InfluxDBClient.create_database | def create_database(self, database):
"""Create a database on the InfluxDB server.
:param database: the name of the database to create
:type database: string
:rtype: boolean
"""
url = "db"
data = {'name': database}
self.request(
url=url,
... | python | def create_database(self, database):
"""Create a database on the InfluxDB server.
:param database: the name of the database to create
:type database: string
:rtype: boolean
"""
url = "db"
data = {'name': database}
self.request(
url=url,
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220,227 | influxdata/influxdb-python | influxdb/influxdb08/client.py | InfluxDBClient.delete_database | def delete_database(self, database):
"""Drop a database on the InfluxDB server.
:param database: the name of the database to delete
:type database: string
:rtype: boolean
"""
url = "db/{0}".format(database)
self.request(
url=url,
method='... | python | def delete_database(self, database):
"""Drop a database on the InfluxDB server.
:param database: the name of the database to delete
:type database: string
:rtype: boolean
"""
url = "db/{0}".format(database)
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220,228 | influxdata/influxdb-python | influxdb/influxdb08/client.py | InfluxDBClient.get_list_database | def get_list_database(self):
"""Get the list of databases."""
url = "db"
response = self.request(
url=url,
method='GET',
expected_response_code=200
)
return response.json() | python | def get_list_database(self):
"""Get the list of databases."""
url = "db"
response = self.request(
url=url,
method='GET',
expected_response_code=200
)
return response.json() | [
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220,229 | influxdata/influxdb-python | influxdb/influxdb08/client.py | InfluxDBClient.delete_series | def delete_series(self, series):
"""Drop a series on the InfluxDB server.
:param series: the name of the series to delete
:type series: string
:rtype: boolean
"""
url = "db/{0}/series/{1}".format(
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series
)
self.req... | python | def delete_series(self, series):
"""Drop a series on the InfluxDB server.
:param series: the name of the series to delete
:type series: string
:rtype: boolean
"""
url = "db/{0}/series/{1}".format(
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220,230 | influxdata/influxdb-python | influxdb/influxdb08/client.py | InfluxDBClient.get_list_cluster_admins | def get_list_cluster_admins(self):
"""Get list of cluster admins."""
response = self.request(
url="cluster_admins",
method='GET',
expected_response_code=200
)
return response.json() | python | def get_list_cluster_admins(self):
"""Get list of cluster admins."""
response = self.request(
url="cluster_admins",
method='GET',
expected_response_code=200
)
return response.json() | [
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] | d5d12499f3755199d5eedd8b363450f1cf4073bd | https://github.com/influxdata/influxdb-python/blob/d5d12499f3755199d5eedd8b363450f1cf4073bd/influxdb/influxdb08/client.py#L597-L605 |
220,231 | influxdata/influxdb-python | influxdb/influxdb08/client.py | InfluxDBClient.add_cluster_admin | def add_cluster_admin(self, new_username, new_password):
"""Add cluster admin."""
data = {
'name': new_username,
'password': new_password
}
self.request(
url="cluster_admins",
method='POST',
data=data,
expected_resp... | python | def add_cluster_admin(self, new_username, new_password):
"""Add cluster admin."""
data = {
'name': new_username,
'password': new_password
}
self.request(
url="cluster_admins",
method='POST',
data=data,
expected_resp... | [
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220,232 | influxdata/influxdb-python | influxdb/influxdb08/client.py | InfluxDBClient.update_cluster_admin_password | def update_cluster_admin_password(self, username, new_password):
"""Update cluster admin password."""
url = "cluster_admins/{0}".format(username)
data = {
'password': new_password
}
self.request(
url=url,
method='POST',
data=data,... | python | def update_cluster_admin_password(self, username, new_password):
"""Update cluster admin password."""
url = "cluster_admins/{0}".format(username)
data = {
'password': new_password
}
self.request(
url=url,
method='POST',
data=data,... | [
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220,233 | influxdata/influxdb-python | influxdb/influxdb08/client.py | InfluxDBClient.delete_cluster_admin | def delete_cluster_admin(self, username):
"""Delete cluster admin."""
url = "cluster_admins/{0}".format(username)
self.request(
url=url,
method='DELETE',
expected_response_code=200
)
return True | python | def delete_cluster_admin(self, username):
"""Delete cluster admin."""
url = "cluster_admins/{0}".format(username)
self.request(
url=url,
method='DELETE',
expected_response_code=200
)
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220,234 | influxdata/influxdb-python | influxdb/influxdb08/client.py | InfluxDBClient.alter_database_admin | def alter_database_admin(self, username, is_admin):
"""Alter the database admin."""
url = "db/{0}/users/{1}".format(self._database, username)
data = {'admin': is_admin}
self.request(
url=url,
method='POST',
data=data,
expected_response_co... | python | def alter_database_admin(self, username, is_admin):
"""Alter the database admin."""
url = "db/{0}/users/{1}".format(self._database, username)
data = {'admin': is_admin}
self.request(
url=url,
method='POST',
data=data,
expected_response_co... | [
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220,235 | influxdata/influxdb-python | influxdb/influxdb08/client.py | InfluxDBClient.get_database_users | def get_database_users(self):
"""Get list of database users."""
url = "db/{0}/users".format(self._database)
response = self.request(
url=url,
method='GET',
expected_response_code=200
)
return response.json() | python | def get_database_users(self):
"""Get list of database users."""
url = "db/{0}/users".format(self._database)
response = self.request(
url=url,
method='GET',
expected_response_code=200
)
return response.json() | [
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220,236 | influxdata/influxdb-python | influxdb/influxdb08/client.py | InfluxDBClient.add_database_user | def add_database_user(self, new_username, new_password, permissions=None):
"""Add database user.
:param permissions: A ``(readFrom, writeTo)`` tuple
"""
url = "db/{0}/users".format(self._database)
data = {
'name': new_username,
'password': new_password
... | python | def add_database_user(self, new_username, new_password, permissions=None):
"""Add database user.
:param permissions: A ``(readFrom, writeTo)`` tuple
"""
url = "db/{0}/users".format(self._database)
data = {
'name': new_username,
'password': new_password
... | [
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220,237 | influxdata/influxdb-python | influxdb/influxdb08/client.py | InfluxDBClient.delete_database_user | def delete_database_user(self, username):
"""Delete database user."""
url = "db/{0}/users/{1}".format(self._database, username)
self.request(
url=url,
method='DELETE',
expected_response_code=200
)
return True | python | def delete_database_user(self, username):
"""Delete database user."""
url = "db/{0}/users/{1}".format(self._database, username)
self.request(
url=url,
method='DELETE',
expected_response_code=200
)
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220,238 | influxdata/influxdb-python | influxdb/influxdb08/client.py | InfluxDBClient.send_packet | def send_packet(self, packet):
"""Send a UDP packet along the wire."""
data = json.dumps(packet)
byte = data.encode('utf-8')
self.udp_socket.sendto(byte, (self._host, self._udp_port)) | python | def send_packet(self, packet):
"""Send a UDP packet along the wire."""
data = json.dumps(packet)
byte = data.encode('utf-8')
self.udp_socket.sendto(byte, (self._host, self._udp_port)) | [
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220,239 | influxdata/influxdb-python | influxdb/influxdb08/dataframe_client.py | DataFrameClient.query | def query(self, query, time_precision='s', chunked=False):
"""Query data into DataFrames.
Returns a DataFrame for a single time series and a map for multiple
time series with the time series as value and its name as key.
:param time_precision: [Optional, default 's'] Either 's', 'm', '... | python | def query(self, query, time_precision='s', chunked=False):
"""Query data into DataFrames.
Returns a DataFrame for a single time series and a map for multiple
time series with the time series as value and its name as key.
:param time_precision: [Optional, default 's'] Either 's', 'm', '... | [
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220,240 | groveco/django-sql-explorer | explorer/forms.py | SqlField.validate | def validate(self, value):
"""
Ensure that the SQL passes the blacklist.
:param value: The SQL for this Query model.
"""
query = Query(sql=value)
passes_blacklist, failing_words = query.passes_blacklist()
error = MSG_FAILED_BLACKLIST % ', '.join(failing_words)... | python | def validate(self, value):
"""
Ensure that the SQL passes the blacklist.
:param value: The SQL for this Query model.
"""
query = Query(sql=value)
passes_blacklist, failing_words = query.passes_blacklist()
error = MSG_FAILED_BLACKLIST % ', '.join(failing_words)... | [
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220,241 | groveco/django-sql-explorer | explorer/schema.py | build_schema_info | def build_schema_info(connection_alias):
"""
Construct schema information via engine-specific queries of the tables in the DB.
:return: Schema information of the following form, sorted by db_table_name.
[
("db_table_name",
[
("... | python | def build_schema_info(connection_alias):
"""
Construct schema information via engine-specific queries of the tables in the DB.
:return: Schema information of the following form, sorted by db_table_name.
[
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[
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220,242 | CodeReclaimers/neat-python | neat/graphs.py | creates_cycle | def creates_cycle(connections, test):
"""
Returns true if the addition of the 'test' connection would create a cycle,
assuming that no cycle already exists in the graph represented by 'connections'.
"""
i, o = test
if i == o:
return True
visited = {o}
while True:
num_add... | python | def creates_cycle(connections, test):
"""
Returns true if the addition of the 'test' connection would create a cycle,
assuming that no cycle already exists in the graph represented by 'connections'.
"""
i, o = test
if i == o:
return True
visited = {o}
while True:
num_add... | [
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220,243 | CodeReclaimers/neat-python | examples/xor/evolve-feedforward-threaded.py | run | def run(config_file):
"""load the config, create a population, evolve and show the result"""
# Load configuration.
config = neat.Config(neat.DefaultGenome, neat.DefaultReproduction,
neat.DefaultSpeciesSet, neat.DefaultStagnation,
config_file)
# Create the population, which is the top-level object for... | python | def run(config_file):
"""load the config, create a population, evolve and show the result"""
# Load configuration.
config = neat.Config(neat.DefaultGenome, neat.DefaultReproduction,
neat.DefaultSpeciesSet, neat.DefaultStagnation,
config_file)
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220,244 | CodeReclaimers/neat-python | examples/memory-variable/visualize.py | plot_stats | def plot_stats(statistics, ylog=False, view=False, filename='avg_fitness.svg'):
""" Plots the population's average and best fitness. """
if plt is None:
warnings.warn("This display is not available due to a missing optional dependency (matplotlib)")
return
generation = range(len(statistics.... | python | def plot_stats(statistics, ylog=False, view=False, filename='avg_fitness.svg'):
""" Plots the population's average and best fitness. """
if plt is None:
warnings.warn("This display is not available due to a missing optional dependency (matplotlib)")
return
generation = range(len(statistics.... | [
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220,245 | CodeReclaimers/neat-python | examples/memory-variable/visualize.py | plot_species | def plot_species(statistics, view=False, filename='speciation.svg'):
""" Visualizes speciation throughout evolution. """
if plt is None:
warnings.warn("This display is not available due to a missing optional dependency (matplotlib)")
return
species_sizes = statistics.get_species_sizes()
... | python | def plot_species(statistics, view=False, filename='speciation.svg'):
""" Visualizes speciation throughout evolution. """
if plt is None:
warnings.warn("This display is not available due to a missing optional dependency (matplotlib)")
return
species_sizes = statistics.get_species_sizes()
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220,246 | CodeReclaimers/neat-python | neat/checkpoint.py | Checkpointer.save_checkpoint | def save_checkpoint(self, config, population, species_set, generation):
""" Save the current simulation state. """
filename = '{0}{1}'.format(self.filename_prefix, generation)
print("Saving checkpoint to {0}".format(filename))
with gzip.open(filename, 'w', compresslevel=5) as f:
... | python | def save_checkpoint(self, config, population, species_set, generation):
""" Save the current simulation state. """
filename = '{0}{1}'.format(self.filename_prefix, generation)
print("Saving checkpoint to {0}".format(filename))
with gzip.open(filename, 'w', compresslevel=5) as f:
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220,247 | CodeReclaimers/neat-python | neat/checkpoint.py | Checkpointer.restore_checkpoint | def restore_checkpoint(filename):
"""Resumes the simulation from a previous saved point."""
with gzip.open(filename) as f:
generation, config, population, species_set, rndstate = pickle.load(f)
random.setstate(rndstate)
return Population(config, (population, species_s... | python | def restore_checkpoint(filename):
"""Resumes the simulation from a previous saved point."""
with gzip.open(filename) as f:
generation, config, population, species_set, rndstate = pickle.load(f)
random.setstate(rndstate)
return Population(config, (population, species_s... | [
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220,248 | CodeReclaimers/neat-python | neat/distributed.py | host_is_local | def host_is_local(hostname, port=22): # no port specified, just use the ssh port
"""
Returns True if the hostname points to the localhost, otherwise False.
"""
hostname = socket.getfqdn(hostname)
if hostname in ("localhost", "0.0.0.0", "127.0.0.1", "1.0.0.127.in-addr.arpa",
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"""
Returns True if the hostname points to the localhost, otherwise False.
"""
hostname = socket.getfqdn(hostname)
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220,249 | CodeReclaimers/neat-python | neat/distributed.py | _determine_mode | def _determine_mode(addr, mode):
"""
Returns the mode which should be used.
If mode is MODE_AUTO, this is determined by checking if 'addr' points to the
local host. If it does, return MODE_PRIMARY, else return MODE_SECONDARY.
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return the 'mode' ar... | python | def _determine_mode(addr, mode):
"""
Returns the mode which should be used.
If mode is MODE_AUTO, this is determined by checking if 'addr' points to the
local host. If it does, return MODE_PRIMARY, else return MODE_SECONDARY.
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220,250 | CodeReclaimers/neat-python | neat/distributed.py | chunked | def chunked(data, chunksize):
"""
Returns a list of chunks containing at most ``chunksize`` elements of data.
"""
if chunksize < 1:
raise ValueError("Chunksize must be at least 1!")
if int(chunksize) != chunksize:
raise ValueError("Chunksize needs to be an integer")
res = []
... | python | def chunked(data, chunksize):
"""
Returns a list of chunks containing at most ``chunksize`` elements of data.
"""
if chunksize < 1:
raise ValueError("Chunksize must be at least 1!")
if int(chunksize) != chunksize:
raise ValueError("Chunksize needs to be an integer")
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220,251 | CodeReclaimers/neat-python | neat/distributed.py | _ExtendedManager.start | def start(self):
"""Starts or connects to the manager."""
if self.mode == MODE_PRIMARY:
i = self._start()
else:
i = self._connect()
self.manager = i | python | def start(self):
"""Starts or connects to the manager."""
if self.mode == MODE_PRIMARY:
i = self._start()
else:
i = self._connect()
self.manager = i | [
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220,252 | CodeReclaimers/neat-python | neat/distributed.py | _ExtendedManager.set_secondary_state | def set_secondary_state(self, value):
"""Sets the value for 'secondary_state'."""
if value not in (_STATE_RUNNING, _STATE_SHUTDOWN, _STATE_FORCED_SHUTDOWN):
raise ValueError(
"State {!r} is invalid - needs to be one of _STATE_RUNNING, _STATE_SHUTDOWN, or _STATE_FORCED_SHUTDOW... | python | def set_secondary_state(self, value):
"""Sets the value for 'secondary_state'."""
if value not in (_STATE_RUNNING, _STATE_SHUTDOWN, _STATE_FORCED_SHUTDOWN):
raise ValueError(
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220,253 | CodeReclaimers/neat-python | neat/distributed.py | _ExtendedManager._get_manager_class | def _get_manager_class(self, register_callables=False):
"""
Returns a new 'Manager' subclass with registered methods.
If 'register_callable' is True, defines the 'callable' arguments.
"""
class _EvaluatorSyncManager(managers.BaseManager):
"""
A custom Bas... | python | def _get_manager_class(self, register_callables=False):
"""
Returns a new 'Manager' subclass with registered methods.
If 'register_callable' is True, defines the 'callable' arguments.
"""
class _EvaluatorSyncManager(managers.BaseManager):
"""
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220,254 | CodeReclaimers/neat-python | neat/distributed.py | _ExtendedManager._connect | def _connect(self):
"""Connects to the manager."""
cls = self._get_manager_class(register_callables=False)
ins = cls(address=self.addr, authkey=self.authkey)
ins.connect()
return ins | python | def _connect(self):
"""Connects to the manager."""
cls = self._get_manager_class(register_callables=False)
ins = cls(address=self.addr, authkey=self.authkey)
ins.connect()
return ins | [
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220,255 | CodeReclaimers/neat-python | neat/distributed.py | _ExtendedManager._start | def _start(self):
"""Starts the manager."""
cls = self._get_manager_class(register_callables=True)
ins = cls(address=self.addr, authkey=self.authkey)
ins.start()
return ins | python | def _start(self):
"""Starts the manager."""
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ins.start()
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220,256 | CodeReclaimers/neat-python | neat/distributed.py | DistributedEvaluator._start_primary | def _start_primary(self):
"""Start as the primary"""
self.em.start()
self.em.set_secondary_state(_STATE_RUNNING)
self._set_shared_instances() | python | def _start_primary(self):
"""Start as the primary"""
self.em.start()
self.em.set_secondary_state(_STATE_RUNNING)
self._set_shared_instances() | [
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220,257 | CodeReclaimers/neat-python | neat/distributed.py | DistributedEvaluator._set_shared_instances | def _set_shared_instances(self):
"""Sets attributes from the shared instances."""
self.inqueue = self.em.get_inqueue()
self.outqueue = self.em.get_outqueue()
self.namespace = self.em.get_namespace() | python | def _set_shared_instances(self):
"""Sets attributes from the shared instances."""
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self.outqueue = self.em.get_outqueue()
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220,258 | CodeReclaimers/neat-python | neat/distributed.py | DistributedEvaluator._reset_em | def _reset_em(self):
"""Resets self.em and the shared instances."""
self.em = _ExtendedManager(self.addr, self.authkey, mode=self.mode, start=False)
self.em.start()
self._set_shared_instances() | python | def _reset_em(self):
"""Resets self.em and the shared instances."""
self.em = _ExtendedManager(self.addr, self.authkey, mode=self.mode, start=False)
self.em.start()
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220,259 | CodeReclaimers/neat-python | neat/distributed.py | DistributedEvaluator._secondary_loop | def _secondary_loop(self, reconnect=False):
"""The worker loop for the secondary nodes."""
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else:
pool = None
should_reconnect = True
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i = 0
... | python | def _secondary_loop(self, reconnect=False):
"""The worker loop for the secondary nodes."""
if self.num_workers > 1:
pool = multiprocessing.Pool(self.num_workers)
else:
pool = None
should_reconnect = True
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i = 0
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220,260 | CodeReclaimers/neat-python | neat/distributed.py | DistributedEvaluator.evaluate | def evaluate(self, genomes, config):
"""
Evaluates the genomes.
This method raises a ModeError if the
DistributedEvaluator is not in primary mode.
"""
if self.mode != MODE_PRIMARY:
raise ModeError("Not in primary mode!")
tasks = [(genome_id, genome, co... | python | def evaluate(self, genomes, config):
"""
Evaluates the genomes.
This method raises a ModeError if the
DistributedEvaluator is not in primary mode.
"""
if self.mode != MODE_PRIMARY:
raise ModeError("Not in primary mode!")
tasks = [(genome_id, genome, co... | [
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220,261 | CodeReclaimers/neat-python | neat/reproduction.py | DefaultReproduction.reproduce | def reproduce(self, config, species, pop_size, generation):
"""
Handles creation of genomes, either from scratch or by sexual or
asexual reproduction from parents.
"""
# TODO: I don't like this modification of the species and stagnation objects,
# because it requires inte... | python | def reproduce(self, config, species, pop_size, generation):
"""
Handles creation of genomes, either from scratch or by sexual or
asexual reproduction from parents.
"""
# TODO: I don't like this modification of the species and stagnation objects,
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220,262 | CodeReclaimers/neat-python | neat/population.py | Population.run | def run(self, fitness_function, n=None):
"""
Runs NEAT's genetic algorithm for at most n generations. If n
is None, run until solution is found or extinction occurs.
The user-provided fitness_function must take only two arguments:
1. The population as a list of (genome id, ... | python | def run(self, fitness_function, n=None):
"""
Runs NEAT's genetic algorithm for at most n generations. If n
is None, run until solution is found or extinction occurs.
The user-provided fitness_function must take only two arguments:
1. The population as a list of (genome id, ... | [
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220,263 | CodeReclaimers/neat-python | neat/genes.py | BaseGene.crossover | def crossover(self, gene2):
""" Creates a new gene randomly inheriting attributes from its parents."""
assert self.key == gene2.key
# Note: we use "a if random() > 0.5 else b" instead of choice((a, b))
# here because `choice` is substantially slower.
new_gene = self.__class__(se... | python | def crossover(self, gene2):
""" Creates a new gene randomly inheriting attributes from its parents."""
assert self.key == gene2.key
# Note: we use "a if random() > 0.5 else b" instead of choice((a, b))
# here because `choice` is substantially slower.
new_gene = self.__class__(se... | [
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220,264 | CodeReclaimers/neat-python | examples/circuits/evolve.py | CircuitGenome.distance | def distance(self, other, config):
"""
Returns the genetic distance between this genome and the other. This distance value
is used to compute genome compatibility for speciation.
"""
# Compute node gene distance component.
node_distance = 0.0
if self.nodes or oth... | python | def distance(self, other, config):
"""
Returns the genetic distance between this genome and the other. This distance value
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"""
# Compute node gene distance component.
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220,265 | CodeReclaimers/neat-python | neat/ctrnn/__init__.py | CTRNN.advance | def advance(self, inputs, advance_time, time_step=None):
"""
Advance the simulation by the given amount of time, assuming that inputs are
constant at the given values during the simulated time.
"""
final_time_seconds = self.time_seconds + advance_time
# Use half of the m... | python | def advance(self, inputs, advance_time, time_step=None):
"""
Advance the simulation by the given amount of time, assuming that inputs are
constant at the given values during the simulated time.
"""
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220,266 | CodeReclaimers/neat-python | neat/stagnation.py | DefaultStagnation.update | def update(self, species_set, generation):
"""
Required interface method. Updates species fitness history information,
checking for ones that have not improved in max_stagnation generations,
and - unless it would result in the number of species dropping below the configured
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"""
Required interface method. Updates species fitness history information,
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220,267 | CodeReclaimers/neat-python | neat/threaded.py | ThreadedEvaluator.start | def start(self):
"""Starts the worker threads"""
if self.working:
return
self.working = True
for i in range(self.num_workers):
w = threading.Thread(
name="Worker Thread #{i}".format(i=i),
target=self._worker,
)
... | python | def start(self):
"""Starts the worker threads"""
if self.working:
return
self.working = True
for i in range(self.num_workers):
w = threading.Thread(
name="Worker Thread #{i}".format(i=i),
target=self._worker,
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220,268 | CodeReclaimers/neat-python | neat/threaded.py | ThreadedEvaluator.stop | def stop(self):
"""Stops the worker threads and waits for them to finish"""
self.working = False
for w in self.workers:
w.join()
self.workers = [] | python | def stop(self):
"""Stops the worker threads and waits for them to finish"""
self.working = False
for w in self.workers:
w.join()
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220,269 | CodeReclaimers/neat-python | neat/threaded.py | ThreadedEvaluator._worker | def _worker(self):
"""The worker function"""
while self.working:
try:
genome_id, genome, config = self.inqueue.get(
block=True,
timeout=0.2,
)
except queue.Empty:
continue
f = ... | python | def _worker(self):
"""The worker function"""
while self.working:
try:
genome_id, genome, config = self.inqueue.get(
block=True,
timeout=0.2,
)
except queue.Empty:
continue
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220,270 | CodeReclaimers/neat-python | neat/threaded.py | ThreadedEvaluator.evaluate | def evaluate(self, genomes, config):
"""Evaluate the genomes"""
if not self.working:
self.start()
p = 0
for genome_id, genome in genomes:
p += 1
self.inqueue.put((genome_id, genome, config))
# assign the fitness back to each genome
whi... | python | def evaluate(self, genomes, config):
"""Evaluate the genomes"""
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p = 0
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p += 1
self.inqueue.put((genome_id, genome, config))
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220,271 | CodeReclaimers/neat-python | neat/iznn/__init__.py | IZNeuron.advance | def advance(self, dt_msec):
"""
Advances simulation time by the given time step in milliseconds.
v' = 0.04 * v^2 + 5v + 140 - u + I
u' = a * (b * v - u)
if v >= 30 then
v <- c, u <- u + d
"""
# TODO: Make the time step adjustable, and choose an appro... | python | def advance(self, dt_msec):
"""
Advances simulation time by the given time step in milliseconds.
v' = 0.04 * v^2 + 5v + 140 - u + I
u' = a * (b * v - u)
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220,272 | CodeReclaimers/neat-python | neat/iznn/__init__.py | IZNeuron.reset | def reset(self):
"""Resets all state variables."""
self.v = self.c
self.u = self.b * self.v
self.fired = 0.0
self.current = self.bias | python | def reset(self):
"""Resets all state variables."""
self.v = self.c
self.u = self.b * self.v
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self.current = self.bias | [
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220,273 | CodeReclaimers/neat-python | neat/iznn/__init__.py | IZNN.set_inputs | def set_inputs(self, inputs):
"""Assign input voltages."""
if len(inputs) != len(self.inputs):
raise RuntimeError(
"Number of inputs {0:d} does not match number of input nodes {1:d}".format(
len(inputs), len(self.inputs)))
for i, v in zip(self.inpu... | python | def set_inputs(self, inputs):
"""Assign input voltages."""
if len(inputs) != len(self.inputs):
raise RuntimeError(
"Number of inputs {0:d} does not match number of input nodes {1:d}".format(
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220,274 | CodeReclaimers/neat-python | examples/xor/evolve-spiking.py | compute_output | def compute_output(t0, t1):
'''Compute the network's output based on the "time to first spike" of the two output neurons.'''
if t0 is None or t1 is None:
# If neither of the output neurons fired within the allotted time,
# give a response which produces a large error.
return -1.0
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'''Compute the network's output based on the "time to first spike" of the two output neurons.'''
if t0 is None or t1 is None:
# If neither of the output neurons fired within the allotted time,
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220,275 | CodeReclaimers/neat-python | neat/species.py | DefaultSpeciesSet.speciate | def speciate(self, config, population, generation):
"""
Place genomes into species by genetic similarity.
Note that this method assumes the current representatives of the species are from the old
generation, and that after speciation has been performed, the old representatives should be... | python | def speciate(self, config, population, generation):
"""
Place genomes into species by genetic similarity.
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220,276 | CodeReclaimers/neat-python | neat/statistics.py | StatisticsReporter.get_average_cross_validation_fitness | def get_average_cross_validation_fitness(self): # pragma: no cover
"""Get the per-generation average cross_validation fitness."""
avg_cross_validation_fitness = []
for stats in self.generation_cross_validation_statistics:
scores = []
for fitness in stats.values():
... | python | def get_average_cross_validation_fitness(self): # pragma: no cover
"""Get the per-generation average cross_validation fitness."""
avg_cross_validation_fitness = []
for stats in self.generation_cross_validation_statistics:
scores = []
for fitness in stats.values():
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220,277 | CodeReclaimers/neat-python | neat/statistics.py | StatisticsReporter.best_unique_genomes | def best_unique_genomes(self, n):
"""Returns the most n fit genomes, with no duplication."""
best_unique = {}
for g in self.most_fit_genomes:
best_unique[g.key] = g
best_unique_list = list(best_unique.values())
def key(genome):
return genome.fitness
... | python | def best_unique_genomes(self, n):
"""Returns the most n fit genomes, with no duplication."""
best_unique = {}
for g in self.most_fit_genomes:
best_unique[g.key] = g
best_unique_list = list(best_unique.values())
def key(genome):
return genome.fitness
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220,278 | CodeReclaimers/neat-python | neat/statistics.py | StatisticsReporter.best_genomes | def best_genomes(self, n):
"""Returns the n most fit genomes ever seen."""
def key(g):
return g.fitness
return sorted(self.most_fit_genomes, key=key, reverse=True)[:n] | python | def best_genomes(self, n):
"""Returns the n most fit genomes ever seen."""
def key(g):
return g.fitness
return sorted(self.most_fit_genomes, key=key, reverse=True)[:n] | [
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220,279 | CodeReclaimers/neat-python | neat/statistics.py | StatisticsReporter.save_genome_fitness | def save_genome_fitness(self,
delimiter=' ',
filename='fitness_history.csv',
with_cross_validation=False):
""" Saves the population's best and average fitness. """
with open(filename, 'w') as f:
w = csv.write... | python | def save_genome_fitness(self,
delimiter=' ',
filename='fitness_history.csv',
with_cross_validation=False):
""" Saves the population's best and average fitness. """
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220,280 | CodeReclaimers/neat-python | neat/statistics.py | StatisticsReporter.save_species_count | def save_species_count(self, delimiter=' ', filename='speciation.csv'):
""" Log speciation throughout evolution. """
with open(filename, 'w') as f:
w = csv.writer(f, delimiter=delimiter)
for s in self.get_species_sizes():
w.writerow(s) | python | def save_species_count(self, delimiter=' ', filename='speciation.csv'):
""" Log speciation throughout evolution. """
with open(filename, 'w') as f:
w = csv.writer(f, delimiter=delimiter)
for s in self.get_species_sizes():
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220,281 | CodeReclaimers/neat-python | neat/statistics.py | StatisticsReporter.save_species_fitness | def save_species_fitness(self, delimiter=' ', null_value='NA', filename='species_fitness.csv'):
""" Log species' average fitness throughout evolution. """
with open(filename, 'w') as f:
w = csv.writer(f, delimiter=delimiter)
for s in self.get_species_fitness(null_value):
... | python | def save_species_fitness(self, delimiter=' ', null_value='NA', filename='species_fitness.csv'):
""" Log species' average fitness throughout evolution. """
with open(filename, 'w') as f:
w = csv.writer(f, delimiter=delimiter)
for s in self.get_species_fitness(null_value):
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220,282 | CodeReclaimers/neat-python | neat/genome.py | DefaultGenome.configure_new | def configure_new(self, config):
"""Configure a new genome based on the given configuration."""
# Create node genes for the output pins.
for node_key in config.output_keys:
self.nodes[node_key] = self.create_node(config, node_key)
# Add hidden nodes if requested.
if... | python | def configure_new(self, config):
"""Configure a new genome based on the given configuration."""
# Create node genes for the output pins.
for node_key in config.output_keys:
self.nodes[node_key] = self.create_node(config, node_key)
# Add hidden nodes if requested.
if... | [
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220,283 | CodeReclaimers/neat-python | neat/genome.py | DefaultGenome.configure_crossover | def configure_crossover(self, genome1, genome2, config):
""" Configure a new genome by crossover from two parent genomes. """
assert isinstance(genome1.fitness, (int, float))
assert isinstance(genome2.fitness, (int, float))
if genome1.fitness > genome2.fitness:
parent1, paren... | python | def configure_crossover(self, genome1, genome2, config):
""" Configure a new genome by crossover from two parent genomes. """
assert isinstance(genome1.fitness, (int, float))
assert isinstance(genome2.fitness, (int, float))
if genome1.fitness > genome2.fitness:
parent1, paren... | [
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220,284 | CodeReclaimers/neat-python | neat/genome.py | DefaultGenome.connect_full_direct | def connect_full_direct(self, config):
""" Create a fully-connected genome, including direct input-output connections. """
for input_id, output_id in self.compute_full_connections(config, True):
connection = self.create_connection(config, input_id, output_id)
self.connections[con... | python | def connect_full_direct(self, config):
""" Create a fully-connected genome, including direct input-output connections. """
for input_id, output_id in self.compute_full_connections(config, True):
connection = self.create_connection(config, input_id, output_id)
self.connections[con... | [
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220,285 | CodeReclaimers/neat-python | neat/config.py | ConfigParameter.interpret | def interpret(self, config_dict):
"""
Converts the config_parser output into the proper type,
supplies defaults if available and needed, and checks for some errors.
"""
value = config_dict.get(self.name)
if value is None:
if self.default is None:
... | python | def interpret(self, config_dict):
"""
Converts the config_parser output into the proper type,
supplies defaults if available and needed, and checks for some errors.
"""
value = config_dict.get(self.name)
if value is None:
if self.default is None:
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220,286 | CodeReclaimers/neat-python | examples/xor/visualize.py | plot_spikes | def plot_spikes(spikes, view=False, filename=None, title=None):
""" Plots the trains for a single spiking neuron. """
t_values = [t for t, I, v, u, f in spikes]
v_values = [v for t, I, v, u, f in spikes]
u_values = [u for t, I, v, u, f in spikes]
I_values = [I for t, I, v, u, f in spikes]
f_valu... | python | def plot_spikes(spikes, view=False, filename=None, title=None):
""" Plots the trains for a single spiking neuron. """
t_values = [t for t, I, v, u, f in spikes]
v_values = [v for t, I, v, u, f in spikes]
u_values = [u for t, I, v, u, f in spikes]
I_values = [I for t, I, v, u, f in spikes]
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220,287 | carpedm20/fbchat | fbchat/_client.py | Client.isLoggedIn | def isLoggedIn(self):
"""
Sends a request to Facebook to check the login status
:return: True if the client is still logged in
:rtype: bool
"""
# Send a request to the login url, to see if we're directed to the home page
r = self._cleanGet(self.req_url.LOGIN, all... | python | def isLoggedIn(self):
"""
Sends a request to Facebook to check the login status
:return: True if the client is still logged in
:rtype: bool
"""
# Send a request to the login url, to see if we're directed to the home page
r = self._cleanGet(self.req_url.LOGIN, all... | [
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220,288 | carpedm20/fbchat | fbchat/_client.py | Client.setSession | def setSession(self, session_cookies):
"""Loads session cookies
:param session_cookies: A dictionay containing session cookies
:type session_cookies: dict
:return: False if `session_cookies` does not contain proper cookies
:rtype: bool
"""
# Quick check to see if... | python | def setSession(self, session_cookies):
"""Loads session cookies
:param session_cookies: A dictionay containing session cookies
:type session_cookies: dict
:return: False if `session_cookies` does not contain proper cookies
:rtype: bool
"""
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:return: False if `session_cookies` does not contain proper cookies
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220,289 | carpedm20/fbchat | fbchat/_client.py | Client.logout | def logout(self):
"""
Safely logs out the client
:param timeout: See `requests timeout <http://docs.python-requests.org/en/master/user/advanced/#timeouts>`_
:return: True if the action was successful
:rtype: bool
"""
if not hasattr(self, "_fb_h"):
h_r... | python | def logout(self):
"""
Safely logs out the client
:param timeout: See `requests timeout <http://docs.python-requests.org/en/master/user/advanced/#timeouts>`_
:return: True if the action was successful
:rtype: bool
"""
if not hasattr(self, "_fb_h"):
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220,290 | carpedm20/fbchat | fbchat/_client.py | Client._getThread | def _getThread(self, given_thread_id=None, given_thread_type=None):
"""
Checks if thread ID is given, checks if default is set and returns correct values
:raises ValueError: If thread ID is not given and there is no default
:return: Thread ID and thread type
:rtype: tuple
... | python | def _getThread(self, given_thread_id=None, given_thread_type=None):
"""
Checks if thread ID is given, checks if default is set and returns correct values
:raises ValueError: If thread ID is not given and there is no default
:return: Thread ID and thread type
:rtype: tuple
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220,291 | carpedm20/fbchat | fbchat/_client.py | Client.setDefaultThread | def setDefaultThread(self, thread_id, thread_type):
"""
Sets default thread to send messages to
:param thread_id: User/Group ID to default to. See :ref:`intro_threads`
:param thread_type: See :ref:`intro_threads`
:type thread_type: models.ThreadType
"""
self._def... | python | def setDefaultThread(self, thread_id, thread_type):
"""
Sets default thread to send messages to
:param thread_id: User/Group ID to default to. See :ref:`intro_threads`
:param thread_type: See :ref:`intro_threads`
:type thread_type: models.ThreadType
"""
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220,292 | carpedm20/fbchat | fbchat/_client.py | Client.fetchThreads | def fetchThreads(self, thread_location, before=None, after=None, limit=None):
"""
Get all threads in thread_location.
Threads will be sorted from newest to oldest.
:param thread_location: models.ThreadLocation: INBOX, PENDING, ARCHIVED or OTHER
:param before: Fetch only thread b... | python | def fetchThreads(self, thread_location, before=None, after=None, limit=None):
"""
Get all threads in thread_location.
Threads will be sorted from newest to oldest.
:param thread_location: models.ThreadLocation: INBOX, PENDING, ARCHIVED or OTHER
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220,293 | carpedm20/fbchat | fbchat/_client.py | Client.fetchAllUsersFromThreads | def fetchAllUsersFromThreads(self, threads):
"""
Get all users involved in threads.
:param threads: models.Thread: List of threads to check for users
:return: :class:`models.User` objects
:rtype: list
:raises: FBchatException if request failed
"""
users =... | python | def fetchAllUsersFromThreads(self, threads):
"""
Get all users involved in threads.
:param threads: models.Thread: List of threads to check for users
:return: :class:`models.User` objects
:rtype: list
:raises: FBchatException if request failed
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... | Get all users involved in threads.
:param threads: models.Thread: List of threads to check for users
:return: :class:`models.User` objects
:rtype: list
:raises: FBchatException if request failed | [
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] | f480d68b5773473e6daba7f66075ee30e8d737a8 | https://github.com/carpedm20/fbchat/blob/f480d68b5773473e6daba7f66075ee30e8d737a8/fbchat/_client.py#L630-L654 |
220,294 | carpedm20/fbchat | fbchat/_client.py | Client.fetchAllUsers | def fetchAllUsers(self):
"""
Gets all users the client is currently chatting with
:return: :class:`models.User` objects
:rtype: list
:raises: FBchatException if request failed
"""
data = {"viewer": self._uid}
j = self._post(
self.req_url.ALL_U... | python | def fetchAllUsers(self):
"""
Gets all users the client is currently chatting with
:return: :class:`models.User` objects
:rtype: list
:raises: FBchatException if request failed
"""
data = {"viewer": self._uid}
j = self._post(
self.req_url.ALL_U... | [
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:raises: FBchatException if request failed | [
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220,295 | carpedm20/fbchat | fbchat/_client.py | Client.searchForPages | def searchForPages(self, name, limit=10):
"""
Find and get page by its name
:param name: Name of the page
:return: :class:`models.Page` objects, ordered by relevance
:rtype: list
:raises: FBchatException if request failed
"""
params = {"search": name, "li... | python | def searchForPages(self, name, limit=10):
"""
Find and get page by its name
:param name: Name of the page
:return: :class:`models.Page` objects, ordered by relevance
:rtype: list
:raises: FBchatException if request failed
"""
params = {"search": name, "li... | [
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:param name: Name of the page
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:rtype: list
:raises: FBchatException if request failed | [
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220,296 | carpedm20/fbchat | fbchat/_client.py | Client.searchForGroups | def searchForGroups(self, name, limit=10):
"""
Find and get group thread by its name
:param name: Name of the group thread
:param limit: The max. amount of groups to fetch
:return: :class:`models.Group` objects, ordered by relevance
:rtype: list
:raises: FBchatEx... | python | def searchForGroups(self, name, limit=10):
"""
Find and get group thread by its name
:param name: Name of the group thread
:param limit: The max. amount of groups to fetch
:return: :class:`models.Group` objects, ordered by relevance
:rtype: list
:raises: FBchatEx... | [
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:param name: Name of the group thread
:param limit: The max. amount of groups to fetch
:return: :class:`models.Group` objects, ordered by relevance
:rtype: list
:raises: FBchatException if request failed | [
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] | f480d68b5773473e6daba7f66075ee30e8d737a8 | https://github.com/carpedm20/fbchat/blob/f480d68b5773473e6daba7f66075ee30e8d737a8/fbchat/_client.py#L709-L722 |
220,297 | carpedm20/fbchat | fbchat/_client.py | Client.searchForThreads | def searchForThreads(self, name, limit=10):
"""
Find and get a thread by its name
:param name: Name of the thread
:param limit: The max. amount of groups to fetch
:return: :class:`models.User`, :class:`models.Group` and :class:`models.Page` objects, ordered by relevance
... | python | def searchForThreads(self, name, limit=10):
"""
Find and get a thread by its name
:param name: Name of the thread
:param limit: The max. amount of groups to fetch
:return: :class:`models.User`, :class:`models.Group` and :class:`models.Page` objects, ordered by relevance
... | [
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:param name: Name of the thread
:param limit: The max. amount of groups to fetch
:return: :class:`models.User`, :class:`models.Group` and :class:`models.Page` objects, ordered by relevance
:rtype: list
:raises: FBchatException if request failed | [
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] | f480d68b5773473e6daba7f66075ee30e8d737a8 | https://github.com/carpedm20/fbchat/blob/f480d68b5773473e6daba7f66075ee30e8d737a8/fbchat/_client.py#L724-L754 |
220,298 | carpedm20/fbchat | fbchat/_client.py | Client.searchForMessageIDs | def searchForMessageIDs(self, query, offset=0, limit=5, thread_id=None):
"""
Find and get message IDs by query
:param query: Text to search for
:param offset: Number of messages to skip
:param limit: Max. number of messages to retrieve
:param thread_id: User/Group ID to ... | python | def searchForMessageIDs(self, query, offset=0, limit=5, thread_id=None):
"""
Find and get message IDs by query
:param query: Text to search for
:param offset: Number of messages to skip
:param limit: Max. number of messages to retrieve
:param thread_id: User/Group ID to ... | [
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:param query: Text to search for
:param offset: Number of messages to skip
:param limit: Max. number of messages to retrieve
:param thread_id: User/Group ID to search in. See :ref:`intro_threads`
:type offset: int
:type limit: int
... | [
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] | f480d68b5773473e6daba7f66075ee30e8d737a8 | https://github.com/carpedm20/fbchat/blob/f480d68b5773473e6daba7f66075ee30e8d737a8/fbchat/_client.py#L756-L786 |
220,299 | carpedm20/fbchat | fbchat/_client.py | Client.search | def search(self, query, fetch_messages=False, thread_limit=5, message_limit=5):
"""
Searches for messages in all threads
:param query: Text to search for
:param fetch_messages: Whether to fetch :class:`models.Message` objects or IDs only
:param thread_limit: Max. number of threa... | python | def search(self, query, fetch_messages=False, thread_limit=5, message_limit=5):
"""
Searches for messages in all threads
:param query: Text to search for
:param fetch_messages: Whether to fetch :class:`models.Message` objects or IDs only
:param thread_limit: Max. number of threa... | [
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:param query: Text to search for
:param fetch_messages: Whether to fetch :class:`models.Message` objects or IDs only
:param thread_limit: Max. number of threads to retrieve
:param message_limit: Max. number of messages to retrieve
:type threa... | [
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] | f480d68b5773473e6daba7f66075ee30e8d737a8 | https://github.com/carpedm20/fbchat/blob/f480d68b5773473e6daba7f66075ee30e8d737a8/fbchat/_client.py#L811-L839 |
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