_id stringlengths 2 7 | title stringlengths 1 88 | partition stringclasses 3
values | text stringlengths 75 19.8k | language stringclasses 1
value | meta_information dict |
|---|---|---|---|---|---|
q224800 | CatGUI.on_click_search_widget | train | def on_click_search_widget(self, event):
""" When the search control is toggled, set visibility and hand down cats"""
self.search.cats = self.cats
self.search.visible = event.new
if self.search.visible:
self.search.watchers.append(
self.select.widget.link(self... | python | {
"resource": ""
} |
q224801 | no_duplicates_constructor | train | def no_duplicates_constructor(loader, node, deep=False):
"""Check for duplicate keys while loading YAML
https://gist.github.com/pypt/94d747fe5180851196eb
"""
mapping = {}
for key_node, value_node in node.value:
key = loader.construct_object(key_node, deep=deep)
value = loader.const... | python | {
"resource": ""
} |
q224802 | classname | train | def classname(ob):
"""Get the object's class's name as package.module.Class"""
import inspect
if inspect.isclass(ob):
return '.'.join([ob.__module__, ob.__name__])
else:
return '.'.join([ob.__class__.__module__, ob.__class__.__name__]) | python | {
"resource": ""
} |
q224803 | pretty_describe | train | def pretty_describe(object, nestedness=0, indent=2):
"""Maintain dict ordering - but make string version prettier"""
if not isinstance(object, dict):
return str(object)
sep = f'\n{" " * nestedness * indent}'
out = sep.join((f'{k}: {pretty_describe(v, nestedness + 1)}' for k, v in object.items())... | python | {
"resource": ""
} |
q224804 | GUI.add | train | def add(self, *args, **kwargs):
"""Add to list of cats"""
return self.cat.select.add(*args, **kwargs) | python | {
"resource": ""
} |
q224805 | coerce_to_list | train | def coerce_to_list(items, preprocess=None):
"""Given an instance or list, coerce to list.
With optional preprocessing.
"""
if not isinstance(items, list):
items = [items]
if preprocess:
items = list(map(preprocess, items))
return items | python | {
"resource": ""
} |
q224806 | Base._repr_mimebundle_ | train | def _repr_mimebundle_(self, *args, **kwargs):
"""Display in a notebook or a server"""
try:
if self.logo:
p = pn.Row(
self.logo_panel,
self.panel,
margin=0)
return p._repr_mimebundle_(*args, **kwargs)
... | python | {
"resource": ""
} |
q224807 | Base.unwatch | train | def unwatch(self):
"""Get rid of any lingering watchers and remove from list"""
if self.watchers is not None:
unwatched = []
for watcher in self.watchers:
watcher.inst.param.unwatch(watcher)
unwatched.append(watcher)
self.watchers = [w ... | python | {
"resource": ""
} |
q224808 | BaseSelector._create_options | train | def _create_options(self, items):
"""Helper method to create options from list, or instance.
Applies preprocess method if available to create a uniform
output
"""
return OrderedDict(map(lambda x: (x.name, x),
coerce_to_list(items, self.preprocess))) | python | {
"resource": ""
} |
q224809 | BaseSelector.options | train | def options(self, new):
"""Set options from list, or instance of named item
Over-writes old options
"""
options = self._create_options(new)
if self.widget.value:
self.widget.set_param(options=options, value=list(options.values())[:1])
else:
self.w... | python | {
"resource": ""
} |
q224810 | BaseSelector.add | train | def add(self, items):
"""Add items to options"""
options = self._create_options(items)
for k, v in options.items():
if k in self.labels and v not in self.items:
options.pop(k)
count = 0
while f'{k}_{count}' in self.labels:
... | python | {
"resource": ""
} |
q224811 | BaseSelector.remove | train | def remove(self, items):
"""Remove items from options"""
items = coerce_to_list(items)
new_options = {k: v for k, v in self.options.items() if v not in items}
self.widget.options = new_options
self.widget.param.trigger('options') | python | {
"resource": ""
} |
q224812 | BaseSelector.selected | train | def selected(self, new):
"""Set selected from list or instance of object or name.
Over-writes existing selection
"""
def preprocess(item):
if isinstance(item, str):
return self.options[item]
return item
items = coerce_to_list(new, preproce... | python | {
"resource": ""
} |
q224813 | BaseView.source | train | def source(self, source):
"""When the source gets updated, update the select widget"""
if isinstance(source, list):
# if source is a list, get first item or None
source = source[0] if len(source) > 0 else None
self._source = source | python | {
"resource": ""
} |
q224814 | SourceGUI.callback | train | def callback(self, sources):
"""When a source is selected, enable widgets that depend on that condition
and do done_callback"""
enable = bool(sources)
if not enable:
self.plot_widget.value = False
enable_widget(self.plot_widget, enable)
if self.done_callback:... | python | {
"resource": ""
} |
q224815 | SourceGUI.on_click_plot_widget | train | def on_click_plot_widget(self, event):
""" When the plot control is toggled, set visibility and hand down source"""
self.plot.source = self.sources
self.plot.visible = event.new
if self.plot.visible:
self.plot.watchers.append(
self.select.widget.link(self.plot... | python | {
"resource": ""
} |
q224816 | sanitize_path | train | def sanitize_path(path):
"""Utility for cleaning up paths."""
storage_option = infer_storage_options(path)
protocol = storage_option['protocol']
if protocol in ('http', 'https'):
# Most FSs remove the protocol but not HTTPFS. We need to strip
# it to match properly.
path = os.p... | python | {
"resource": ""
} |
q224817 | _download | train | def _download(file_in, file_out, blocksize, output=False):
"""Read from input and write to output file in blocks"""
with warnings.catch_warnings():
warnings.filterwarnings('ignore')
if output:
try:
from tqdm.autonotebook import tqdm
except ImportError:
... | python | {
"resource": ""
} |
q224818 | make_caches | train | def make_caches(driver, specs, catdir=None, cache_dir=None, storage_options={}):
"""
Creates Cache objects from the cache_specs provided in the catalog yaml file
Parameters
----------
driver: str
Name of the plugin that can load catalog entry
specs: list
Specification for cachi... | python | {
"resource": ""
} |
q224819 | BaseCache.load | train | def load(self, urlpath, output=None, **kwargs):
"""
Downloads data from a given url, generates a hashed filename,
logs metadata, and caches it locally.
Parameters
----------
urlpath: str, location of data
May be a local path, or remote path if including a pr... | python | {
"resource": ""
} |
q224820 | BaseCache._load | train | def _load(self, files_in, files_out, urlpath, meta=True):
"""Download a set of files"""
import dask
out = []
outnames = []
for file_in, file_out in zip(files_in, files_out):
cache_path = file_out.path
outnames.append(cache_path)
# If `_munge_p... | python | {
"resource": ""
} |
q224821 | BaseCache.clear_cache | train | def clear_cache(self, urlpath):
"""
Clears cache and metadata for a given urlpath.
Parameters
----------
urlpath: str, location of data
May be a local path, or remote path if including a protocol specifier
such as ``'s3://'``. May include glob wildcards.... | python | {
"resource": ""
} |
q224822 | BaseCache.clear_all | train | def clear_all(self):
"""
Clears all cache and metadata.
"""
for urlpath in self._metadata.keys():
self.clear_cache(urlpath)
# Safely clean up anything else.
if not os.path.isdir(self._cache_dir):
return
for subdir in os.listdir(self._cache... | python | {
"resource": ""
} |
q224823 | write_json | train | def write_json(dictionary, filename):
"""Write dictionary to JSON"""
with open(filename, 'w') as data_file:
json.dump(dictionary, data_file, indent=4, sort_keys=True)
print('--> Wrote ' + os.path.basename(filename)) | python | {
"resource": ""
} |
q224824 | compare | train | def compare(dicts):
"""Compare by iteration"""
common_members = {}
common_keys = reduce(lambda x, y: x & y, map(dict.keys, dicts))
for k in common_keys:
common_members[k] = list(
reduce(lambda x, y: x & y, [set(d[k]) for d in dicts]))
return common_members | python | {
"resource": ""
} |
q224825 | sort_common_members | train | def sort_common_members():
"""Sorts the keys and members"""
filename = PREFIX + '/common_members.json'
sorted_json_data = {}
json_data = read_json(filename)
all_keys = []
for key, value in json_data.items():
all_keys.append(key)
sorted_keys = sorted(all_keys)
for key in sorted... | python | {
"resource": ""
} |
q224826 | generate_common_members | train | def generate_common_members():
"""Generate JSON with commonly shared members"""
pyside = read_json(PREFIX + '/PySide.json')
pyside2 = read_json(PREFIX + '/PySide2.json')
pyqt4 = read_json(PREFIX + '/PyQt4.json')
pyqt5 = read_json(PREFIX + '/PyQt5.json')
dicts = [pyside, pyside2, pyqt4, pyqt5]
... | python | {
"resource": ""
} |
q224827 | parse | train | def parse(fname):
"""Return blocks of code as list of dicts
Arguments:
fname (str): Relative name of caveats file
"""
blocks = list()
with io.open(fname, "r", encoding="utf-8") as f:
in_block = False
current_block = None
current_header = ""
for line in f:
... | python | {
"resource": ""
} |
q224828 | _qInstallMessageHandler | train | def _qInstallMessageHandler(handler):
"""Install a message handler that works in all bindings
Args:
handler: A function that takes 3 arguments, or None
"""
def messageOutputHandler(*args):
# In Qt4 bindings, message handlers are passed 2 arguments
# In Qt5 bindings, message hand... | python | {
"resource": ""
} |
q224829 | _import_sub_module | train | def _import_sub_module(module, name):
"""import_sub_module will mimic the function of importlib.import_module"""
module = __import__(module.__name__ + "." + name)
for level in name.split("."):
module = getattr(module, level)
return module | python | {
"resource": ""
} |
q224830 | _setup | train | def _setup(module, extras):
"""Install common submodules"""
Qt.__binding__ = module.__name__
for name in list(_common_members) + extras:
try:
submodule = _import_sub_module(
module, name)
except ImportError:
try:
# For extra modules l... | python | {
"resource": ""
} |
q224831 | _build_compatibility_members | train | def _build_compatibility_members(binding, decorators=None):
"""Apply `binding` to QtCompat
Arguments:
binding (str): Top level binding in _compatibility_members.
decorators (dict, optional): Provides the ability to decorate the
original Qt methods when needed by a binding. This can ... | python | {
"resource": ""
} |
q224832 | _convert | train | def _convert(lines):
"""Convert compiled .ui file from PySide2 to Qt.py
Arguments:
lines (list): Each line of of .ui file
Usage:
>> with open("myui.py") as f:
.. lines = _convert(f.readlines())
"""
def parse(line):
line = line.replace("from PySide2 import", "fro... | python | {
"resource": ""
} |
q224833 | update_compatibility_decorators | train | def update_compatibility_decorators(binding, decorators):
""" This optional function is called by Qt.py to modify the decorators
applied to QtCompat namespace objects.
Arguments:
binding (str): The Qt binding being wrapped by Qt.py
decorators (dict): Maps specific decorator functions to
... | python | {
"resource": ""
} |
q224834 | load_ui_type | train | def load_ui_type(uifile):
"""Pyside equivalent for the loadUiType function in PyQt.
From the PyQt4 documentation:
Load a Qt Designer .ui file and return a tuple of the generated form
class and the Qt base class. These can then be used to create any
number of instances of the user interf... | python | {
"resource": ""
} |
q224835 | pyside_load_ui | train | def pyside_load_ui(uifile, base_instance=None):
"""Provide PyQt4.uic.loadUi functionality to PySide
Args:
uifile (str): Absolute path to .ui file
base_instance (QWidget): The widget into which UI widgets are loaded
Note:
pysideuic is required for this to work with PySide.
... | python | {
"resource": ""
} |
q224836 | ExplicitlyExcludeFromIndex | train | def ExplicitlyExcludeFromIndex(client, database_id):
""" The default index policy on a DocumentContainer will AUTOMATICALLY index ALL documents added.
There may be scenarios where you want to exclude a specific doc from the index even though all other
documents are being indexed automatically.
... | python | {
"resource": ""
} |
q224837 | ExcludePathsFromIndex | train | def ExcludePathsFromIndex(client, database_id):
"""The default behavior is for Cosmos to index every attribute in every document automatically.
There are times when a document contains large amounts of information, in deeply nested structures
that you know you will never search on. In extreme cases li... | python | {
"resource": ""
} |
q224838 | UseRangeIndexesOnStrings | train | def UseRangeIndexesOnStrings(client, database_id):
"""Showing how range queries can be performed even on strings.
"""
try:
DeleteContainerIfExists(client, database_id, COLLECTION_ID)
database_link = GetDatabaseLink(database_id)
# collections = Query_Entities(client, 'collection', pa... | python | {
"resource": ""
} |
q224839 | RangePartitionResolver.ResolveForCreate | train | def ResolveForCreate(self, document):
"""Resolves the collection for creating the document based on the partition key.
:param dict document:
The document to be created.
:return:
Collection Self link or Name based link which should handle the Create operation.
:r... | python | {
"resource": ""
} |
q224840 | RangePartitionResolver._GetContainingRange | train | def _GetContainingRange(self, partition_key):
"""Gets the containing range based on the partition key.
"""
for keyrange in self.partition_map.keys():
if keyrange.Contains(partition_key):
return keyrange
return None | python | {
"resource": ""
} |
q224841 | RangePartitionResolver._GetIntersectingRanges | train | def _GetIntersectingRanges(self, partition_key):
"""Gets the intersecting ranges based on the partition key.
"""
partitionkey_ranges = set()
intersecting_ranges = set()
if partition_key is None:
return list(self.partition_map.keys())
if isinstance(partition_... | python | {
"resource": ""
} |
q224842 | QueryIterable._create_execution_context | train | def _create_execution_context(self):
"""instantiates the internal query execution context based.
"""
if hasattr(self, '_database_link'):
# client side partitioning query
return base_execution_context._MultiCollectionQueryExecutionContext(self._client, self._options, self.... | python | {
"resource": ""
} |
q224843 | _Execute | train | def _Execute(client, global_endpoint_manager, function, *args, **kwargs):
"""Exectutes the function with passed parameters applying all retry policies
:param object client:
Document client instance
:param object global_endpoint_manager:
Instance of _GlobalEndpointManager class
:param fu... | python | {
"resource": ""
} |
q224844 | _GlobalEndpointManager._GetDatabaseAccount | train | def _GetDatabaseAccount(self):
"""Gets the database account first by using the default endpoint, and if that doesn't returns
use the endpoints for the preferred locations in the order they are specified to get
the database account.
"""
try:
database_account = s... | python | {
"resource": ""
} |
q224845 | _Partition.CompareTo | train | def CompareTo(self, other_hash_value):
"""Compares the passed hash value with the hash value of this object
"""
if len(self.hash_value) != len(other_hash_value):
raise ValueError("Length of hashes doesn't match.")
# The hash byte array that is returned from ComputeHash metho... | python | {
"resource": ""
} |
q224846 | _MurmurHash.ComputeHash | train | def ComputeHash(self, key):
"""
Computes the hash of the value passed using MurmurHash3 algorithm.
:param bytearray key:
Byte array representing the key to be hashed.
:return:
32 bit hash value.
:rtype: int
"""
if key is None:
... | python | {
"resource": ""
} |
q224847 | _MurmurHash._ComputeHash | train | def _ComputeHash( key, seed = 0x0 ):
"""Computes the hash of the value passed using MurmurHash3 algorithm with the seed value.
"""
def fmix( h ):
h ^= h >> 16
h = ( h * 0x85ebca6b ) & 0xFFFFFFFF
h ^= h >> 13
h = ( h * 0xc2b2ae35 ) & 0xFFFFFFFF
... | python | {
"resource": ""
} |
q224848 | VectorSessionToken.create | train | def create(cls, session_token):
""" Parses session token and creates the vector session token
:param str session_token:
:return:
A Vector session Token
:rtype: VectorSessionToken
"""
version = None
global_lsn = None
local_lsn_by_region = {}... | python | {
"resource": ""
} |
q224849 | _ConsistentHashRing._ConstructPartitions | train | def _ConstructPartitions(self, collection_links, partitions_per_node):
"""Constructs the partitions in the consistent ring by assigning them to collection nodes
using the hashing algorithm and then finally sorting the partitions based on the hash value.
"""
collections_node_count = len(c... | python | {
"resource": ""
} |
q224850 | _ConsistentHashRing._FindPartition | train | def _FindPartition(self, key):
"""Finds the partition from the byte array representation of the partition key.
"""
hash_value = self.hash_generator.ComputeHash(key)
return self._LowerBoundSearch(self.partitions, hash_value) | python | {
"resource": ""
} |
q224851 | _ConsistentHashRing._GetSerializedPartitionList | train | def _GetSerializedPartitionList(self):
"""Gets the serialized version of the ConsistentRing.
Added this helper for the test code.
"""
partition_list = list()
for part in self.partitions:
partition_list.append((part.node, unpack("<L", part.hash_value)[0]))
... | python | {
"resource": ""
} |
q224852 | _ConsistentHashRing._GetBytes | train | def _GetBytes(partition_key):
"""Gets the bytes representing the value of the partition key.
"""
if isinstance(partition_key, six.string_types):
return bytearray(partition_key, encoding='utf-8')
else:
raise ValueError("Unsupported " + str(type(partition_key)) + " ... | python | {
"resource": ""
} |
q224853 | _ConsistentHashRing._LowerBoundSearch | train | def _LowerBoundSearch(partitions, hash_value):
"""Searches the partition in the partition array using hashValue.
"""
for i in xrange(0, len(partitions) - 1):
if partitions[i].CompareTo(hash_value) <= 0 and partitions[i+1].CompareTo(hash_value) > 0:
return i
r... | python | {
"resource": ""
} |
q224854 | _QueryExecutionContextBase._fetch_items_helper_no_retries | train | def _fetch_items_helper_no_retries(self, fetch_function):
"""Fetches more items and doesn't retry on failure
:return:
List of fetched items.
:rtype: list
"""
fetched_items = []
# Continues pages till finds a non empty page or all results are exhausted
... | python | {
"resource": ""
} |
q224855 | _MultiCollectionQueryExecutionContext._fetch_next_block | train | def _fetch_next_block(self):
"""Fetches the next block of query results.
This iterates fetches the next block of results from the current collection link.
Once the current collection results were exhausted. It moves to the next collection link.
:return:
List of ... | python | {
"resource": ""
} |
q224856 | Range.Contains | train | def Contains(self, other):
"""Checks if the passed parameter is in the range of this object.
"""
if other is None:
raise ValueError("other is None.")
if isinstance(other, Range):
if other.low >= self.low and other.high <= self.high:
return True
... | python | {
"resource": ""
} |
q224857 | Range.Intersect | train | def Intersect(self, other):
"""Checks if the passed parameter intersects the range of this object.
"""
if isinstance(other, Range):
max_low = self.low if (self.low >= other.low) else other.low
min_high = self.high if (self.high <= other.high) else other.high
... | python | {
"resource": ""
} |
q224858 | CosmosClient.RegisterPartitionResolver | train | def RegisterPartitionResolver(self, database_link, partition_resolver):
"""Registers the partition resolver associated with the database link
:param str database_link:
Database Self Link or ID based link.
:param object partition_resolver:
An instance of PartitionResolver... | python | {
"resource": ""
} |
q224859 | CosmosClient.GetPartitionResolver | train | def GetPartitionResolver(self, database_link):
"""Gets the partition resolver associated with the database link
:param str database_link:
Database self link or ID based link.
:return:
An instance of PartitionResolver.
:rtype: object
"""
if not d... | python | {
"resource": ""
} |
q224860 | CosmosClient.CreateDatabase | train | def CreateDatabase(self, database, options=None):
"""Creates a database.
:param dict database:
The Azure Cosmos database to create.
:param dict options:
The request options for the request.
:return:
The Database that was created.
:rtype: dict... | python | {
"resource": ""
} |
q224861 | CosmosClient.ReadDatabase | train | def ReadDatabase(self, database_link, options=None):
"""Reads a database.
:param str database_link:
The link to the database.
:param dict options:
The request options for the request.
:return:
The Database that was read.
:rtype: dict
... | python | {
"resource": ""
} |
q224862 | CosmosClient.QueryDatabases | train | def QueryDatabases(self, query, options=None):
"""Queries databases.
:param (str or dict) query:
:param dict options:
The request options for the request.
:return: Query Iterable of Databases.
:rtype:
query_iterable.QueryIterable
"""
if ... | python | {
"resource": ""
} |
q224863 | CosmosClient.ReadContainers | train | def ReadContainers(self, database_link, options=None):
"""Reads all collections in a database.
:param str database_link:
The link to the database.
:param dict options:
The request options for the request.
:return: Query Iterable of Collections.
... | python | {
"resource": ""
} |
q224864 | CosmosClient.CreateContainer | train | def CreateContainer(self, database_link, collection, options=None):
"""Creates a collection in a database.
:param str database_link:
The link to the database.
:param dict collection:
The Azure Cosmos collection to create.
:param dict options:
The requ... | python | {
"resource": ""
} |
q224865 | CosmosClient.ReplaceContainer | train | def ReplaceContainer(self, collection_link, collection, options=None):
"""Replaces a collection and return it.
:param str collection_link:
The link to the collection entity.
:param dict collection:
The collection to be used.
:param dict options:
The ... | python | {
"resource": ""
} |
q224866 | CosmosClient.ReadContainer | train | def ReadContainer(self, collection_link, options=None):
"""Reads a collection.
:param str collection_link:
The link to the document collection.
:param dict options:
The request options for the request.
:return:
The read Collection.
:rtype:
... | python | {
"resource": ""
} |
q224867 | CosmosClient.UpsertUser | train | def UpsertUser(self, database_link, user, options=None):
"""Upserts a user.
:param str database_link:
The link to the database.
:param dict user:
The Azure Cosmos user to upsert.
:param dict options:
The request options for the request.
:retu... | python | {
"resource": ""
} |
q224868 | CosmosClient.ReadUser | train | def ReadUser(self, user_link, options=None):
"""Reads a user.
:param str user_link:
The link to the user entity.
:param dict options:
The request options for the request.
:return:
The read User.
:rtype:
dict
"""
i... | python | {
"resource": ""
} |
q224869 | CosmosClient.ReadUsers | train | def ReadUsers(self, database_link, options=None):
"""Reads all users in a database.
:params str database_link:
The link to the database.
:params dict options:
The request options for the request.
:return:
Query iterable of Users.
:rtype:
... | python | {
"resource": ""
} |
q224870 | CosmosClient.QueryUsers | train | def QueryUsers(self, database_link, query, options=None):
"""Queries users in a database.
:param str database_link:
The link to the database.
:param (str or dict) query:
:param dict options:
The request options for the request.
:return:
Query... | python | {
"resource": ""
} |
q224871 | CosmosClient.DeleteDatabase | train | def DeleteDatabase(self, database_link, options=None):
"""Deletes a database.
:param str database_link:
The link to the database.
:param dict options:
The request options for the request.
:return:
The deleted Database.
:rtype:
dic... | python | {
"resource": ""
} |
q224872 | CosmosClient.CreatePermission | train | def CreatePermission(self, user_link, permission, options=None):
"""Creates a permission for a user.
:param str user_link:
The link to the user entity.
:param dict permission:
The Azure Cosmos user permission to create.
:param dict options:
The reques... | python | {
"resource": ""
} |
q224873 | CosmosClient.UpsertPermission | train | def UpsertPermission(self, user_link, permission, options=None):
"""Upserts a permission for a user.
:param str user_link:
The link to the user entity.
:param dict permission:
The Azure Cosmos user permission to upsert.
:param dict options:
The reques... | python | {
"resource": ""
} |
q224874 | CosmosClient.ReadPermission | train | def ReadPermission(self, permission_link, options=None):
"""Reads a permission.
:param str permission_link:
The link to the permission.
:param dict options:
The request options for the request.
:return:
The read permission.
:rtype:
... | python | {
"resource": ""
} |
q224875 | CosmosClient.ReadPermissions | train | def ReadPermissions(self, user_link, options=None):
"""Reads all permissions for a user.
:param str user_link:
The link to the user entity.
:param dict options:
The request options for the request.
:return:
Query Iterable of Permissions.
:rty... | python | {
"resource": ""
} |
q224876 | CosmosClient.QueryPermissions | train | def QueryPermissions(self, user_link, query, options=None):
"""Queries permissions for a user.
:param str user_link:
The link to the user entity.
:param (str or dict) query:
:param dict options:
The request options for the request.
:return:
Q... | python | {
"resource": ""
} |
q224877 | CosmosClient.ReplaceUser | train | def ReplaceUser(self, user_link, user, options=None):
"""Replaces a user and return it.
:param str user_link:
The link to the user entity.
:param dict user:
:param dict options:
The request options for the request.
:return:
The new User.
... | python | {
"resource": ""
} |
q224878 | CosmosClient.DeleteUser | train | def DeleteUser(self, user_link, options=None):
"""Deletes a user.
:param str user_link:
The link to the user entity.
:param dict options:
The request options for the request.
:return:
The deleted user.
:rtype:
dict
"""
... | python | {
"resource": ""
} |
q224879 | CosmosClient.ReplacePermission | train | def ReplacePermission(self, permission_link, permission, options=None):
"""Replaces a permission and return it.
:param str permission_link:
The link to the permission.
:param dict permission:
:param dict options:
The request options for the request.
:ret... | python | {
"resource": ""
} |
q224880 | CosmosClient.DeletePermission | train | def DeletePermission(self, permission_link, options=None):
"""Deletes a permission.
:param str permission_link:
The link to the permission.
:param dict options:
The request options for the request.
:return:
The deleted Permission.
:rtype:
... | python | {
"resource": ""
} |
q224881 | CosmosClient.ReadItems | train | def ReadItems(self, collection_link, feed_options=None):
"""Reads all documents in a collection.
:param str collection_link:
The link to the document collection.
:param dict feed_options:
:return:
Query Iterable of Documents.
:rtype:
query_it... | python | {
"resource": ""
} |
q224882 | CosmosClient.QueryItems | train | def QueryItems(self, database_or_Container_link, query, options=None, partition_key=None):
"""Queries documents in a collection.
:param str database_or_Container_link:
The link to the database when using partitioning, otherwise link to the document collection.
:param (str or dict) q... | python | {
"resource": ""
} |
q224883 | CosmosClient.QueryItemsChangeFeed | train | def QueryItemsChangeFeed(self, collection_link, options=None):
"""Queries documents change feed in a collection.
:param str collection_link:
The link to the document collection.
:param dict options:
The request options for the request.
options may also specif... | python | {
"resource": ""
} |
q224884 | CosmosClient._QueryChangeFeed | train | def _QueryChangeFeed(self, collection_link, resource_type, options=None, partition_key_range_id=None):
"""Queries change feed of a resource in a collection.
:param str collection_link:
The link to the document collection.
:param str resource_type:
The type of the resourc... | python | {
"resource": ""
} |
q224885 | CosmosClient._ReadPartitionKeyRanges | train | def _ReadPartitionKeyRanges(self, collection_link, feed_options=None):
"""Reads Partition Key Ranges.
:param str collection_link:
The link to the document collection.
:param dict feed_options:
:return:
Query Iterable of PartitionKeyRanges.
:rtype:
... | python | {
"resource": ""
} |
q224886 | CosmosClient.CreateItem | train | def CreateItem(self, database_or_Container_link, document, options=None):
"""Creates a document in a collection.
:param str database_or_Container_link:
The link to the database when using partitioning, otherwise link to the document collection.
:param dict document:
The ... | python | {
"resource": ""
} |
q224887 | CosmosClient.UpsertItem | train | def UpsertItem(self, database_or_Container_link, document, options=None):
"""Upserts a document in a collection.
:param str database_or_Container_link:
The link to the database when using partitioning, otherwise link to the document collection.
:param dict document:
The ... | python | {
"resource": ""
} |
q224888 | CosmosClient.ReadItem | train | def ReadItem(self, document_link, options=None):
"""Reads a document.
:param str document_link:
The link to the document.
:param dict options:
The request options for the request.
:return:
The read Document.
:rtype:
dict
... | python | {
"resource": ""
} |
q224889 | CosmosClient.ReadTriggers | train | def ReadTriggers(self, collection_link, options=None):
"""Reads all triggers in a collection.
:param str collection_link:
The link to the document collection.
:param dict options:
The request options for the request.
:return:
Query Iterable of Trigge... | python | {
"resource": ""
} |
q224890 | CosmosClient.CreateTrigger | train | def CreateTrigger(self, collection_link, trigger, options=None):
"""Creates a trigger in a collection.
:param str collection_link:
The link to the document collection.
:param dict trigger:
:param dict options:
The request options for the request.
:return... | python | {
"resource": ""
} |
q224891 | CosmosClient.UpsertTrigger | train | def UpsertTrigger(self, collection_link, trigger, options=None):
"""Upserts a trigger in a collection.
:param str collection_link:
The link to the document collection.
:param dict trigger:
:param dict options:
The request options for the request.
:return... | python | {
"resource": ""
} |
q224892 | CosmosClient.ReadTrigger | train | def ReadTrigger(self, trigger_link, options=None):
"""Reads a trigger.
:param str trigger_link:
The link to the trigger.
:param dict options:
The request options for the request.
:return:
The read Trigger.
:rtype:
dict
""... | python | {
"resource": ""
} |
q224893 | CosmosClient.ReadUserDefinedFunctions | train | def ReadUserDefinedFunctions(self, collection_link, options=None):
"""Reads all user defined functions in a collection.
:param str collection_link:
The link to the document collection.
:param dict options:
The request options for the request.
:return:
... | python | {
"resource": ""
} |
q224894 | CosmosClient.QueryUserDefinedFunctions | train | def QueryUserDefinedFunctions(self, collection_link, query, options=None):
"""Queries user defined functions in a collection.
:param str collection_link:
The link to the collection.
:param (str or dict) query:
:param dict options:
The request options for the requ... | python | {
"resource": ""
} |
q224895 | CosmosClient.CreateUserDefinedFunction | train | def CreateUserDefinedFunction(self, collection_link, udf, options=None):
"""Creates a user defined function in a collection.
:param str collection_link:
The link to the collection.
:param str udf:
:param dict options:
The request options for the request.
... | python | {
"resource": ""
} |
q224896 | CosmosClient.UpsertUserDefinedFunction | train | def UpsertUserDefinedFunction(self, collection_link, udf, options=None):
"""Upserts a user defined function in a collection.
:param str collection_link:
The link to the collection.
:param str udf:
:param dict options:
The request options for the request.
... | python | {
"resource": ""
} |
q224897 | CosmosClient.ReadUserDefinedFunction | train | def ReadUserDefinedFunction(self, udf_link, options=None):
"""Reads a user defined function.
:param str udf_link:
The link to the user defined function.
:param dict options:
The request options for the request.
:return:
The read UDF.
:rtype:
... | python | {
"resource": ""
} |
q224898 | CosmosClient.ReadStoredProcedures | train | def ReadStoredProcedures(self, collection_link, options=None):
"""Reads all store procedures in a collection.
:param str collection_link:
The link to the document collection.
:param dict options:
The request options for the request.
:return:
Query It... | python | {
"resource": ""
} |
q224899 | CosmosClient.CreateStoredProcedure | train | def CreateStoredProcedure(self, collection_link, sproc, options=None):
"""Creates a stored procedure in a collection.
:param str collection_link:
The link to the document collection.
:param str sproc:
:param dict options:
The request options for the request.
... | python | {
"resource": ""
} |
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