repo stringlengths 7 54 | path stringlengths 4 223 | func_name stringlengths 1 134 | original_string stringlengths 75 104k | language stringclasses 1
value | code stringlengths 75 104k | code_tokens listlengths 20 28.4k | docstring stringlengths 1 46.3k | docstring_tokens listlengths 1 1.66k | sha stringlengths 40 40 | url stringlengths 87 315 | partition stringclasses 1
value | summary stringlengths 4 350 | obf_code stringlengths 7.85k 764k |
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audreyr/cookiecutter | cookiecutter/generate.py | render_and_create_dir | def render_and_create_dir(dirname, context, output_dir, environment,
overwrite_if_exists=False):
"""Render name of a directory, create the directory, return its path."""
name_tmpl = environment.from_string(dirname)
rendered_dirname = name_tmpl.render(**context)
dir_to_create =... | python | def render_and_create_dir(dirname, context, output_dir, environment,
overwrite_if_exists=False):
"""Render name of a directory, create the directory, return its path."""
name_tmpl = environment.from_string(dirname)
rendered_dirname = name_tmpl.render(**context)
dir_to_create =... | [
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audreyr/cookiecutter | cookiecutter/generate.py | _run_hook_from_repo_dir | def _run_hook_from_repo_dir(repo_dir, hook_name, project_dir, context,
delete_project_on_failure):
"""Run hook from repo directory, clean project directory if hook fails.
:param repo_dir: Project template input directory.
:param hook_name: The hook to execute.
:param project... | python | def _run_hook_from_repo_dir(repo_dir, hook_name, project_dir, context,
delete_project_on_failure):
"""Run hook from repo directory, clean project directory if hook fails.
:param repo_dir: Project template input directory.
:param hook_name: The hook to execute.
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audreyr/cookiecutter | cookiecutter/generate.py | generate_files | def generate_files(repo_dir, context=None, output_dir='.',
overwrite_if_exists=False):
"""Render the templates and saves them to files.
:param repo_dir: Project template input directory.
:param context: Dict for populating the template's variables.
:param output_dir: Where to output ... | python | def generate_files(repo_dir, context=None, output_dir='.',
overwrite_if_exists=False):
"""Render the templates and saves them to files.
:param repo_dir: Project template input directory.
:param context: Dict for populating the template's variables.
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audreyr/cookiecutter | cookiecutter/config.py | _expand_path | def _expand_path(path):
"""Expand both environment variables and user home in the given path."""
path = os.path.expandvars(path)
path = os.path.expanduser(path)
return path | python | def _expand_path(path):
"""Expand both environment variables and user home in the given path."""
path = os.path.expandvars(path)
path = os.path.expanduser(path)
return path | [
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audreyr/cookiecutter | cookiecutter/config.py | merge_configs | def merge_configs(default, overwrite):
"""Recursively update a dict with the key/value pair of another.
Dict values that are dictionaries themselves will be updated, whilst
preserving existing keys.
"""
new_config = copy.deepcopy(default)
for k, v in overwrite.items():
# Make sure to p... | python | def merge_configs(default, overwrite):
"""Recursively update a dict with the key/value pair of another.
Dict values that are dictionaries themselves will be updated, whilst
preserving existing keys.
"""
new_config = copy.deepcopy(default)
for k, v in overwrite.items():
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audreyr/cookiecutter | cookiecutter/config.py | get_config | def get_config(config_path):
"""Retrieve the config from the specified path, returning a config dict."""
if not os.path.exists(config_path):
raise ConfigDoesNotExistException
logger.debug('config_path is {0}'.format(config_path))
with io.open(config_path, encoding='utf-8') as file_handle:
... | python | def get_config(config_path):
"""Retrieve the config from the specified path, returning a config dict."""
if not os.path.exists(config_path):
raise ConfigDoesNotExistException
logger.debug('config_path is {0}'.format(config_path))
with io.open(config_path, encoding='utf-8') as file_handle:
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audreyr/cookiecutter | cookiecutter/config.py | get_user_config | def get_user_config(config_file=None, default_config=False):
"""Return the user config as a dict.
If ``default_config`` is True, ignore ``config_file`` and return default
values for the config parameters.
If a path to a ``config_file`` is given, that is different from the default
location, load th... | python | def get_user_config(config_file=None, default_config=False):
"""Return the user config as a dict.
If ``default_config`` is True, ignore ``config_file`` and return default
values for the config parameters.
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audreyr/cookiecutter | cookiecutter/utils.py | force_delete | def force_delete(func, path, exc_info):
"""Error handler for `shutil.rmtree()` equivalent to `rm -rf`.
Usage: `shutil.rmtree(path, onerror=force_delete)`
From stackoverflow.com/questions/1889597
"""
os.chmod(path, stat.S_IWRITE)
func(path) | python | def force_delete(func, path, exc_info):
"""Error handler for `shutil.rmtree()` equivalent to `rm -rf`.
Usage: `shutil.rmtree(path, onerror=force_delete)`
From stackoverflow.com/questions/1889597
"""
os.chmod(path, stat.S_IWRITE)
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audreyr/cookiecutter | cookiecutter/utils.py | make_sure_path_exists | def make_sure_path_exists(path):
"""Ensure that a directory exists.
:param path: A directory path.
"""
logger.debug('Making sure path exists: {}'.format(path))
try:
os.makedirs(path)
logger.debug('Created directory at: {}'.format(path))
except OSError as exception:
if ex... | python | def make_sure_path_exists(path):
"""Ensure that a directory exists.
:param path: A directory path.
"""
logger.debug('Making sure path exists: {}'.format(path))
try:
os.makedirs(path)
logger.debug('Created directory at: {}'.format(path))
except OSError as exception:
if ex... | [
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audreyr/cookiecutter | cookiecutter/utils.py | work_in | def work_in(dirname=None):
"""Context manager version of os.chdir.
When exited, returns to the working directory prior to entering.
"""
curdir = os.getcwd()
try:
if dirname is not None:
os.chdir(dirname)
yield
finally:
os.chdir(curdir) | python | def work_in(dirname=None):
"""Context manager version of os.chdir.
When exited, returns to the working directory prior to entering.
"""
curdir = os.getcwd()
try:
if dirname is not None:
os.chdir(dirname)
yield
finally:
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audreyr/cookiecutter | cookiecutter/utils.py | make_executable | def make_executable(script_path):
"""Make `script_path` executable.
:param script_path: The file to change
"""
status = os.stat(script_path)
os.chmod(script_path, status.st_mode | stat.S_IEXEC) | python | def make_executable(script_path):
"""Make `script_path` executable.
:param script_path: The file to change
"""
status = os.stat(script_path)
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audreyr/cookiecutter | cookiecutter/utils.py | prompt_and_delete | def prompt_and_delete(path, no_input=False):
"""
Ask user if it's okay to delete the previously-downloaded file/directory.
If yes, delete it. If no, checks to see if the old version should be
reused. If yes, it's reused; otherwise, Cookiecutter exits.
:param path: Previously downloaded zipfile.
... | python | def prompt_and_delete(path, no_input=False):
"""
Ask user if it's okay to delete the previously-downloaded file/directory.
If yes, delete it. If no, checks to see if the old version should be
reused. If yes, it's reused; otherwise, Cookiecutter exits.
:param path: Previously downloaded zipfile.
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audreyr/cookiecutter | cookiecutter/zipfile.py | unzip | def unzip(zip_uri, is_url, clone_to_dir='.', no_input=False, password=None):
"""Download and unpack a zipfile at a given URI.
This will download the zipfile to the cookiecutter repository,
and unpack into a temporary directory.
:param zip_uri: The URI for the zipfile.
:param is_url: Is the zip URI... | python | def unzip(zip_uri, is_url, clone_to_dir='.', no_input=False, password=None):
"""Download and unpack a zipfile at a given URI.
This will download the zipfile to the cookiecutter repository,
and unpack into a temporary directory.
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audreyr/cookiecutter | cookiecutter/main.py | cookiecutter | def cookiecutter(
template, checkout=None, no_input=False, extra_context=None,
replay=False, overwrite_if_exists=False, output_dir='.',
config_file=None, default_config=False, password=None):
"""
Run Cookiecutter just as if using it from the command line.
:param template: A director... | python | def cookiecutter(
template, checkout=None, no_input=False, extra_context=None,
replay=False, overwrite_if_exists=False, output_dir='.',
config_file=None, default_config=False, password=None):
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audreyr/cookiecutter | cookiecutter/prompt.py | read_user_yes_no | def read_user_yes_no(question, default_value):
"""Prompt the user to reply with 'yes' or 'no' (or equivalent values).
Note:
Possible choices are 'true', '1', 'yes', 'y' or 'false', '0', 'no', 'n'
:param str question: Question to the user
:param default_value: Value that will be returned if no in... | python | def read_user_yes_no(question, default_value):
"""Prompt the user to reply with 'yes' or 'no' (or equivalent values).
Note:
Possible choices are 'true', '1', 'yes', 'y' or 'false', '0', 'no', 'n'
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audreyr/cookiecutter | cookiecutter/prompt.py | read_user_choice | def read_user_choice(var_name, options):
"""Prompt the user to choose from several options for the given variable.
The first item will be returned if no input happens.
:param str var_name: Variable as specified in the context
:param list options: Sequence of options that are available to select from
... | python | def read_user_choice(var_name, options):
"""Prompt the user to choose from several options for the given variable.
The first item will be returned if no input happens.
:param str var_name: Variable as specified in the context
:param list options: Sequence of options that are available to select from
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audreyr/cookiecutter | cookiecutter/prompt.py | read_user_dict | def read_user_dict(var_name, default_value):
"""Prompt the user to provide a dictionary of data.
:param str var_name: Variable as specified in the context
:param default_value: Value that will be returned if no input is provided
:return: A Python dictionary to use in the context.
"""
# Please s... | python | def read_user_dict(var_name, default_value):
"""Prompt the user to provide a dictionary of data.
:param str var_name: Variable as specified in the context
:param default_value: Value that will be returned if no input is provided
:return: A Python dictionary to use in the context.
"""
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audreyr/cookiecutter | cookiecutter/prompt.py | render_variable | def render_variable(env, raw, cookiecutter_dict):
"""Inside the prompting taken from the cookiecutter.json file, this renders
the next variable. For example, if a project_name is "Peanut Butter
Cookie", the repo_name could be be rendered with:
`{{ cookiecutter.project_name.replace(" ", "_") }}`.
... | python | def render_variable(env, raw, cookiecutter_dict):
"""Inside the prompting taken from the cookiecutter.json file, this renders
the next variable. For example, if a project_name is "Peanut Butter
Cookie", the repo_name could be be rendered with:
`{{ cookiecutter.project_name.replace(" ", "_") }}`.
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audreyr/cookiecutter | cookiecutter/prompt.py | prompt_choice_for_config | def prompt_choice_for_config(cookiecutter_dict, env, key, options, no_input):
"""Prompt the user which option to choose from the given. Each of the
possible choices is rendered beforehand.
"""
rendered_options = [
render_variable(env, raw, cookiecutter_dict) for raw in options
]
if no_i... | python | def prompt_choice_for_config(cookiecutter_dict, env, key, options, no_input):
"""Prompt the user which option to choose from the given. Each of the
possible choices is rendered beforehand.
"""
rendered_options = [
render_variable(env, raw, cookiecutter_dict) for raw in options
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audreyr/cookiecutter | cookiecutter/prompt.py | prompt_for_config | def prompt_for_config(context, no_input=False):
"""
Prompts the user to enter new config, using context as a source for the
field names and sample values.
:param no_input: Prompt the user at command line for manual configuration?
"""
cookiecutter_dict = OrderedDict([])
env = StrictEnvironme... | python | def prompt_for_config(context, no_input=False):
"""
Prompts the user to enter new config, using context as a source for the
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:param no_input: Prompt the user at command line for manual configuration?
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cookiecutter_dict = OrderedDict([])
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audreyr/cookiecutter | cookiecutter/environment.py | ExtensionLoaderMixin._read_extensions | def _read_extensions(self, context):
"""Return list of extensions as str to be passed on to the Jinja2 env.
If context does not contain the relevant info, return an empty
list instead.
"""
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extensions = context['cookiecutter']['_extensions']
except KeyErr... | python | def _read_extensions(self, context):
"""Return list of extensions as str to be passed on to the Jinja2 env.
If context does not contain the relevant info, return an empty
list instead.
"""
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audreyr/cookiecutter | cookiecutter/log.py | configure_logger | def configure_logger(stream_level='DEBUG', debug_file=None):
"""Configure logging for cookiecutter.
Set up logging to stdout with given level. If ``debug_file`` is given set
up logging to file with DEBUG level.
"""
# Set up 'cookiecutter' logger
logger = logging.getLogger('cookiecutter')
lo... | python | def configure_logger(stream_level='DEBUG', debug_file=None):
"""Configure logging for cookiecutter.
Set up logging to stdout with given level. If ``debug_file`` is given set
up logging to file with DEBUG level.
"""
# Set up 'cookiecutter' logger
logger = logging.getLogger('cookiecutter')
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audreyr/cookiecutter | cookiecutter/vcs.py | identify_repo | def identify_repo(repo_url):
"""Determine if `repo_url` should be treated as a URL to a git or hg repo.
Repos can be identified by prepending "hg+" or "git+" to the repo URL.
:param repo_url: Repo URL of unknown type.
:returns: ('git', repo_url), ('hg', repo_url), or None.
"""
repo_url_values ... | python | def identify_repo(repo_url):
"""Determine if `repo_url` should be treated as a URL to a git or hg repo.
Repos can be identified by prepending "hg+" or "git+" to the repo URL.
:param repo_url: Repo URL of unknown type.
:returns: ('git', repo_url), ('hg', repo_url), or None.
"""
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audreyr/cookiecutter | cookiecutter/vcs.py | clone | def clone(repo_url, checkout=None, clone_to_dir='.', no_input=False):
"""Clone a repo to the current directory.
:param repo_url: Repo URL of unknown type.
:param checkout: The branch, tag or commit ID to checkout after clone.
:param clone_to_dir: The directory to clone to.
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audreyr/cookiecutter | cookiecutter/hooks.py | valid_hook | def valid_hook(hook_file, hook_name):
"""Determine if a hook file is valid.
:param hook_file: The hook file to consider for validity
:param hook_name: The hook to find
:return: The hook file validity
"""
filename = os.path.basename(hook_file)
basename = os.path.splitext(filename)[0]
ma... | python | def valid_hook(hook_file, hook_name):
"""Determine if a hook file is valid.
:param hook_file: The hook file to consider for validity
:param hook_name: The hook to find
:return: The hook file validity
"""
filename = os.path.basename(hook_file)
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audreyr/cookiecutter | cookiecutter/hooks.py | find_hook | def find_hook(hook_name, hooks_dir='hooks'):
"""Return a dict of all hook scripts provided.
Must be called with the project template as the current working directory.
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audreyr/cookiecutter | cookiecutter/hooks.py | run_script | def run_script(script_path, cwd='.'):
"""Execute a script from a working directory.
:param script_path: Absolute path to the script to run.
:param cwd: The directory to run the script from.
"""
run_thru_shell = sys.platform.startswith('win')
if script_path.endswith('.py'):
script_comman... | python | def run_script(script_path, cwd='.'):
"""Execute a script from a working directory.
:param script_path: Absolute path to the script to run.
:param cwd: The directory to run the script from.
"""
run_thru_shell = sys.platform.startswith('win')
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audreyr/cookiecutter | cookiecutter/hooks.py | run_script_with_context | def run_script_with_context(script_path, cwd, context):
"""Execute a script after rendering it with Jinja.
:param script_path: Absolute path to the script to run.
:param cwd: The directory to run the script from.
:param context: Cookiecutter project template context.
"""
_, extension = os.path.... | python | def run_script_with_context(script_path, cwd, context):
"""Execute a script after rendering it with Jinja.
:param script_path: Absolute path to the script to run.
:param cwd: The directory to run the script from.
:param context: Cookiecutter project template context.
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audreyr/cookiecutter | cookiecutter/hooks.py | run_hook | def run_hook(hook_name, project_dir, context):
"""
Try to find and execute a hook from the specified project directory.
:param hook_name: The hook to execute.
:param project_dir: The directory to execute the script from.
:param context: Cookiecutter project context.
"""
script = find_hook(h... | python | def run_hook(hook_name, project_dir, context):
"""
Try to find and execute a hook from the specified project directory.
:param hook_name: The hook to execute.
:param project_dir: The directory to execute the script from.
:param context: Cookiecutter project context.
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audreyr/cookiecutter | cookiecutter/cli.py | version_msg | def version_msg():
"""Return the Cookiecutter version, location and Python powering it."""
python_version = sys.version[:3]
location = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
message = u'Cookiecutter %(version)s from {} (Python {})'
return message.format(location, python_version) | python | def version_msg():
"""Return the Cookiecutter version, location and Python powering it."""
python_version = sys.version[:3]
location = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
message = u'Cookiecutter %(version)s from {} (Python {})'
return message.format(location, python_version) | [
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audreyr/cookiecutter | cookiecutter/cli.py | validate_extra_context | def validate_extra_context(ctx, param, value):
"""Validate extra context."""
for s in value:
if '=' not in s:
raise click.BadParameter(
'EXTRA_CONTEXT should contain items of the form key=value; '
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)
# C... | python | def validate_extra_context(ctx, param, value):
"""Validate extra context."""
for s in value:
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audreyr/cookiecutter | cookiecutter/cli.py | main | def main(
template, extra_context, no_input, checkout, verbose,
replay, overwrite_if_exists, output_dir, config_file,
default_config, debug_file):
"""Create a project from a Cookiecutter project template (TEMPLATE).
Cookiecutter is free and open source software, developed and managed by... | python | def main(
template, extra_context, no_input, checkout, verbose,
replay, overwrite_if_exists, output_dir, config_file,
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graphql-python/graphene | graphene/types/mountedtype.py | MountedType.mounted | def mounted(cls, unmounted): # noqa: N802
"""
Mount the UnmountedType instance
"""
assert isinstance(unmounted, UnmountedType), ("{} can't mount {}").format(
cls.__name__, repr(unmounted)
)
return cls(
unmounted.get_type(),
*unmounted... | python | def mounted(cls, unmounted): # noqa: N802
"""
Mount the UnmountedType instance
"""
assert isinstance(unmounted, UnmountedType), ("{} can't mount {}").format(
cls.__name__, repr(unmounted)
)
return cls(
unmounted.get_type(),
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graphql-python/graphene | graphene/pyutils/signature.py | Parameter.replace | def replace(
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default=_void,
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if name is _void:
name = self._name
if kind is _void:
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default=_void,
_partial_kwarg=_void,
):
"""Creates a customized copy of the Parameter."""
if name is _void:
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if kind is _void:
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graphql-python/graphene | graphene/pyutils/signature.py | Signature.from_function | def from_function(cls, func):
"""Constructs Signature for the given python function"""
if not isinstance(func, types.FunctionType):
raise TypeError("{!r} is not a Python function".format(func))
Parameter = cls._parameter_cls
# Parameter information.
func_code = fun... | python | def from_function(cls, func):
"""Constructs Signature for the given python function"""
if not isinstance(func, types.FunctionType):
raise TypeError("{!r} is not a Python function".format(func))
Parameter = cls._parameter_cls
# Parameter information.
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graphql-python/graphene | graphene/pyutils/signature.py | Signature.replace | def replace(self, parameters=_void, return_annotation=_void):
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graphql-python/graphene | graphene/pyutils/signature.py | Signature._bind | def _bind(self, args, kwargs, partial=False):
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graphql-python/graphene | graphene/pyutils/signature.py | Signature.bind_partial | def bind_partial(self, *args, **kwargs):
"""Get a BoundArguments object, that partially maps the
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Raises `TypeError` if the passed arguments can not be bound.
"""
return self._bind(args, kwargs, partial=True) | python | def bind_partial(self, *args, **kwargs):
"""Get a BoundArguments object, that partially maps the
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Raises `TypeError` if the passed arguments can not be bound.
"""
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graphql-python/graphene | graphene/relay/node.py | is_node | def is_node(objecttype):
"""
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"""
if not isclass(objecttype):
return False
if not issubclass(objecttype, ObjectType):
return False
for i in objecttype._meta.interfaces:
if issubclass(i, Node):
return True... | python | def is_node(objecttype):
"""
Check if the given objecttype has Node as an interface
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graphql-python/graphene | graphene/pyutils/version.py | get_complete_version | def get_complete_version(version=None):
"""Returns a tuple of the graphene version. If version argument is non-empty,
then checks for correctness of the tuple provided.
"""
if version is None:
from graphene import VERSION as version
else:
assert len(version) == 5
assert versi... | python | def get_complete_version(version=None):
"""Returns a tuple of the graphene version. If version argument is non-empty,
then checks for correctness of the tuple provided.
"""
if version is None:
from graphene import VERSION as version
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graphql-python/graphene | graphene/utils/thenables.py | maybe_thenable | def maybe_thenable(obj, on_resolve):
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Execute a on_resolve function once the thenable is resolved,
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Execute a on_resolve function once the thenable is resolved,
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graphql-python/graphene | graphene/types/utils.py | get_field_as | def get_field_as(value, _as=None):
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Get type mounted
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if isinstance(value, MountedType):
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Get type mounted
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graphql-python/graphene | graphene/types/utils.py | yank_fields_from_attrs | def yank_fields_from_attrs(attrs, _as=None, sort=True):
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fields_with_names = []
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Import a dotted module path and return the attribute/class designated by the
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elastic/elasticsearch-dsl-py | examples/composite_agg.py | scan_aggs | def scan_aggs(search, source_aggs, inner_aggs={}, size=10):
"""
Helper function used to iterate over all possible bucket combinations of
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"""
def run_search(**kwargs):... | python | def scan_aggs(search, source_aggs, inner_aggs={}, size=10):
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elastic/elasticsearch-dsl-py | examples/completion.py | Person.clean | def clean(self):
"""
Automatically construct the suggestion input and weight by taking all
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"""
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'input': [' '.join(p) for p in permutations(self.name.... | python | def clean(self):
"""
Automatically construct the suggestion input and weight by taking all
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/utils.py | ObjectBase.__list_fields | def __list_fields(cls):
"""
Get all the fields defined for our class, if we have an Index, try
looking at the index mappings as well, mark the fields from Index as
optional.
"""
for name in cls._doc_type.mapping:
field = cls._doc_type.mapping[name]
... | python | def __list_fields(cls):
"""
Get all the fields defined for our class, if we have an Index, try
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optional.
"""
for name in cls._doc_type.mapping:
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/update_by_query.py | UpdateByQuery._clone | def _clone(self):
"""
Return a clone of the current search request. Performs a shallow copy
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APIs.
"""
ubq = super(UpdateByQuery, self)._clone()
ubq._response_class = self._response_class
... | python | def _clone(self):
"""
Return a clone of the current search request. Performs a shallow copy
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"""
ubq = super(UpdateByQuery, self)._clone()
ubq._response_class = self._response_class
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/update_by_query.py | UpdateByQuery.response_class | def response_class(self, cls):
"""
Override the default wrapper used for the response.
"""
ubq = self._clone()
ubq._response_class = cls
return ubq | python | def response_class(self, cls):
"""
Override the default wrapper used for the response.
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ubq = self._clone()
ubq._response_class = cls
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/update_by_query.py | UpdateByQuery.update_from_dict | def update_from_dict(self, d):
"""
Apply options from a serialized body to the current instance. Modifies
the object in-place. Used mostly by ``from_dict``.
"""
d = d.copy()
if 'query' in d:
self.query._proxied = Q(d.pop('query'))
if 'script' in d:
... | python | def update_from_dict(self, d):
"""
Apply options from a serialized body to the current instance. Modifies
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/update_by_query.py | UpdateByQuery.script | def script(self, **kwargs):
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https://www.elastic.co/guide/en/elasticsearch/reference/current/modules-scripting-using.html
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... | python | def script(self, **kwargs):
"""
Define update action to take:
https://www.elastic.co/guide/en/elasticsearch/reference/current/modules-scripting-using.html
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/mapping.py | Properties._collect_fields | def _collect_fields(self):
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# multi fields
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/index.py | Index.clone | def clone(self, name=None, using=None):
"""
Create a copy of the instance with another name or connection alias.
Useful for creating multiple indices with shared configuration::
i = Index('base-index')
i.settings(number_of_shards=1)
i.create()
i2... | python | def clone(self, name=None, using=None):
"""
Create a copy of the instance with another name or connection alias.
Useful for creating multiple indices with shared configuration::
i = Index('base-index')
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Associate a :class:`~elasticsearch_dsl.Document` subclass with an index.
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/index.py | Index.analyzer | def analyzer(self, *args, **kwargs):
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Explicitly add an analyzer to an index. Note that all custom analyzers
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from elasticsearch_dsl import analyzer, tokenizer
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/index.py | Index.search | def search(self, using=None):
"""
Return a :class:`~elasticsearch_dsl.Search` object searching over the
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return Search(
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"""
Return a :class:`~elasticsearch_dsl.Search` object searching over the
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/index.py | Index.updateByQuery | def updateByQuery(self, using=None):
"""
Return a :class:`~elasticsearch_dsl.UpdateByQuery` object searching over the index
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For more information, see here:
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"""
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/index.py | Index.create | def create(self, using=None, **kwargs):
"""
Creates the index in elasticsearch.
Any additional keyword arguments will be passed to
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"""
self._get_connection(using).indices.create(index=self._name, body=self.to_dict(), **kwargs) | python | def create(self, using=None, **kwargs):
"""
Creates the index in elasticsearch.
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/index.py | Index.save | def save(self, using=None):
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Sync the index definition with elasticsearch, creating the index if it
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"""
Sync the index definition with elasticsearch, creating the index if it
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/index.py | Index.analyze | def analyze(self, using=None, **kwargs):
"""
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return self._get_connection(using)... | python | def analyze(self, using=None, **kwargs):
"""
Perform the analysis process on a text and return the tokens breakdown
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/index.py | Index.refresh | def refresh(self, using=None, **kwargs):
"""
Preforms a refresh operation on the index.
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"""
return self._get_connection(using).indices.refresh(index=self._name, **kwargs) | python | def refresh(self, using=None, **kwargs):
"""
Preforms a refresh operation on the index.
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"""
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/index.py | Index.flush | def flush(self, using=None, **kwargs):
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Preforms a flush operation on the index.
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"""
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"""
Preforms a flush operation on the index.
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"""
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/index.py | Index.get | def get(self, using=None, **kwargs):
"""
The get index API allows to retrieve information about the index.
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"""
return self._get_connection(using).indices.get(index=self._name, **k... | python | def get(self, using=None, **kwargs):
"""
The get index API allows to retrieve information about the index.
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"""
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/index.py | Index.open | def open(self, using=None, **kwargs):
"""
Opens the index in elasticsearch.
Any additional keyword arguments will be passed to
``Elasticsearch.indices.open`` unchanged.
"""
return self._get_connection(using).indices.open(index=self._name, **kwargs) | python | def open(self, using=None, **kwargs):
"""
Opens the index in elasticsearch.
Any additional keyword arguments will be passed to
``Elasticsearch.indices.open`` unchanged.
"""
return self._get_connection(using).indices.open(index=self._name, **kwargs) | [
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/index.py | Index.close | def close(self, using=None, **kwargs):
"""
Closes the index in elasticsearch.
Any additional keyword arguments will be passed to
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"""
return self._get_connection(using).indices.close(index=self._name, **kwargs) | python | def close(self, using=None, **kwargs):
"""
Closes the index in elasticsearch.
Any additional keyword arguments will be passed to
``Elasticsearch.indices.close`` unchanged.
"""
return self._get_connection(using).indices.close(index=self._name, **kwargs) | [
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/index.py | Index.delete | def delete(self, using=None, **kwargs):
"""
Deletes the index in elasticsearch.
Any additional keyword arguments will be passed to
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"""
return self._get_connection(using).indices.delete(index=self._name, **kwargs) | python | def delete(self, using=None, **kwargs):
"""
Deletes the index in elasticsearch.
Any additional keyword arguments will be passed to
``Elasticsearch.indices.delete`` unchanged.
"""
return self._get_connection(using).indices.delete(index=self._name, **kwargs) | [
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/index.py | Index.exists | def exists(self, using=None, **kwargs):
"""
Returns ``True`` if the index already exists in elasticsearch.
Any additional keyword arguments will be passed to
``Elasticsearch.indices.exists`` unchanged.
"""
return self._get_connection(using).indices.exists(index=self._nam... | python | def exists(self, using=None, **kwargs):
"""
Returns ``True`` if the index already exists in elasticsearch.
Any additional keyword arguments will be passed to
``Elasticsearch.indices.exists`` unchanged.
"""
return self._get_connection(using).indices.exists(index=self._nam... | [
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/index.py | Index.exists_type | def exists_type(self, using=None, **kwargs):
"""
Check if a type/types exists in the index.
Any additional keyword arguments will be passed to
``Elasticsearch.indices.exists_type`` unchanged.
"""
return self._get_connection(using).indices.exists_type(index=self._name, **... | python | def exists_type(self, using=None, **kwargs):
"""
Check if a type/types exists in the index.
Any additional keyword arguments will be passed to
``Elasticsearch.indices.exists_type`` unchanged.
"""
return self._get_connection(using).indices.exists_type(index=self._name, **... | [
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/index.py | Index.put_mapping | def put_mapping(self, using=None, **kwargs):
"""
Register specific mapping definition for a specific type.
Any additional keyword arguments will be passed to
``Elasticsearch.indices.put_mapping`` unchanged.
"""
return self._get_connection(using).indices.put_mapping(index... | python | def put_mapping(self, using=None, **kwargs):
"""
Register specific mapping definition for a specific type.
Any additional keyword arguments will be passed to
``Elasticsearch.indices.put_mapping`` unchanged.
"""
return self._get_connection(using).indices.put_mapping(index... | [
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/index.py | Index.get_mapping | def get_mapping(self, using=None, **kwargs):
"""
Retrieve specific mapping definition for a specific type.
Any additional keyword arguments will be passed to
``Elasticsearch.indices.get_mapping`` unchanged.
"""
return self._get_connection(using).indices.get_mapping(index... | python | def get_mapping(self, using=None, **kwargs):
"""
Retrieve specific mapping definition for a specific type.
Any additional keyword arguments will be passed to
``Elasticsearch.indices.get_mapping`` unchanged.
"""
return self._get_connection(using).indices.get_mapping(index... | [
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/index.py | Index.get_field_mapping | def get_field_mapping(self, using=None, **kwargs):
"""
Retrieve mapping definition of a specific field.
Any additional keyword arguments will be passed to
``Elasticsearch.indices.get_field_mapping`` unchanged.
"""
return self._get_connection(using).indices.get_field_mapp... | python | def get_field_mapping(self, using=None, **kwargs):
"""
Retrieve mapping definition of a specific field.
Any additional keyword arguments will be passed to
``Elasticsearch.indices.get_field_mapping`` unchanged.
"""
return self._get_connection(using).indices.get_field_mapp... | [
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/index.py | Index.put_alias | def put_alias(self, using=None, **kwargs):
"""
Create an alias for the index.
Any additional keyword arguments will be passed to
``Elasticsearch.indices.put_alias`` unchanged.
"""
return self._get_connection(using).indices.put_alias(index=self._name, **kwargs) | python | def put_alias(self, using=None, **kwargs):
"""
Create an alias for the index.
Any additional keyword arguments will be passed to
``Elasticsearch.indices.put_alias`` unchanged.
"""
return self._get_connection(using).indices.put_alias(index=self._name, **kwargs) | [
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/index.py | Index.exists_alias | def exists_alias(self, using=None, **kwargs):
"""
Return a boolean indicating whether given alias exists for this index.
Any additional keyword arguments will be passed to
``Elasticsearch.indices.exists_alias`` unchanged.
"""
return self._get_connection(using).indices.ex... | python | def exists_alias(self, using=None, **kwargs):
"""
Return a boolean indicating whether given alias exists for this index.
Any additional keyword arguments will be passed to
``Elasticsearch.indices.exists_alias`` unchanged.
"""
return self._get_connection(using).indices.ex... | [
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/index.py | Index.get_alias | def get_alias(self, using=None, **kwargs):
"""
Retrieve a specified alias.
Any additional keyword arguments will be passed to
``Elasticsearch.indices.get_alias`` unchanged.
"""
return self._get_connection(using).indices.get_alias(index=self._name, **kwargs) | python | def get_alias(self, using=None, **kwargs):
"""
Retrieve a specified alias.
Any additional keyword arguments will be passed to
``Elasticsearch.indices.get_alias`` unchanged.
"""
return self._get_connection(using).indices.get_alias(index=self._name, **kwargs) | [
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/index.py | Index.delete_alias | def delete_alias(self, using=None, **kwargs):
"""
Delete specific alias.
Any additional keyword arguments will be passed to
``Elasticsearch.indices.delete_alias`` unchanged.
"""
return self._get_connection(using).indices.delete_alias(index=self._name, **kwargs) | python | def delete_alias(self, using=None, **kwargs):
"""
Delete specific alias.
Any additional keyword arguments will be passed to
``Elasticsearch.indices.delete_alias`` unchanged.
"""
return self._get_connection(using).indices.delete_alias(index=self._name, **kwargs) | [
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/index.py | Index.get_settings | def get_settings(self, using=None, **kwargs):
"""
Retrieve settings for the index.
Any additional keyword arguments will be passed to
``Elasticsearch.indices.get_settings`` unchanged.
"""
return self._get_connection(using).indices.get_settings(index=self._name, **kwargs) | python | def get_settings(self, using=None, **kwargs):
"""
Retrieve settings for the index.
Any additional keyword arguments will be passed to
``Elasticsearch.indices.get_settings`` unchanged.
"""
return self._get_connection(using).indices.get_settings(index=self._name, **kwargs) | [
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/index.py | Index.put_settings | def put_settings(self, using=None, **kwargs):
"""
Change specific index level settings in real time.
Any additional keyword arguments will be passed to
``Elasticsearch.indices.put_settings`` unchanged.
"""
return self._get_connection(using).indices.put_settings(index=sel... | python | def put_settings(self, using=None, **kwargs):
"""
Change specific index level settings in real time.
Any additional keyword arguments will be passed to
``Elasticsearch.indices.put_settings`` unchanged.
"""
return self._get_connection(using).indices.put_settings(index=sel... | [
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/index.py | Index.stats | def stats(self, using=None, **kwargs):
"""
Retrieve statistics on different operations happening on the index.
Any additional keyword arguments will be passed to
``Elasticsearch.indices.stats`` unchanged.
"""
return self._get_connection(using).indices.stats(index=self._n... | python | def stats(self, using=None, **kwargs):
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/index.py | Index.segments | def segments(self, using=None, **kwargs):
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Provide low level segments information that a Lucene index (shard
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return self._get_connection(... | python | def segments(self, using=None, **kwargs):
"""
Provide low level segments information that a Lucene index (shard
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/index.py | Index.validate_query | def validate_query(self, using=None, **kwargs):
"""
Validate a potentially expensive query without executing it.
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"""
return self._get_connection(using).indices.validate... | python | def validate_query(self, using=None, **kwargs):
"""
Validate a potentially expensive query without executing it.
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/index.py | Index.clear_cache | def clear_cache(self, using=None, **kwargs):
"""
Clear all caches or specific cached associated with the index.
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"""
return self._get_connection(using).indices.clear_cache(... | python | def clear_cache(self, using=None, **kwargs):
"""
Clear all caches or specific cached associated with the index.
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"""
return self._get_connection(using).indices.clear_cache(... | [
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/index.py | Index.recovery | def recovery(self, using=None, **kwargs):
"""
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"""
return self._get_connection(... | python | def recovery(self, using=None, **kwargs):
"""
The indices recovery API provides insight into on-going shard
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/index.py | Index.upgrade | def upgrade(self, using=None, **kwargs):
"""
Upgrade the index to the latest format.
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"""
return self._get_connection(using).indices.upgrade(index=self._name, **kwargs) | python | def upgrade(self, using=None, **kwargs):
"""
Upgrade the index to the latest format.
Any additional keyword arguments will be passed to
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"""
return self._get_connection(using).indices.upgrade(index=self._name, **kwargs) | [
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/index.py | Index.get_upgrade | def get_upgrade(self, using=None, **kwargs):
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Monitor how much of the index is upgraded.
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return self._get_connection(using).indices.get_upgrade(index=self._name, **... | python | def get_upgrade(self, using=None, **kwargs):
"""
Monitor how much of the index is upgraded.
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/index.py | Index.flush_synced | def flush_synced(self, using=None, **kwargs):
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Perform a normal flush, then add a generated unique marker (sync_id) to
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Perform a normal flush, then add a generated unique marker (sync_id) to
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/index.py | Index.shard_stores | def shard_stores(self, using=None, **kwargs):
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Provides store information for shard copies of the index. Store
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/index.py | Index.shrink | def shrink(self, using=None, **kwargs):
"""
The shrink index API allows you to shrink an existing index into a new
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"""
The shrink index API allows you to shrink an existing index into a new
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/connections.py | Connections.configure | def configure(self, **kwargs):
"""
Configure multiple connections at once, useful for passing in config
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configuration management tool.
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connections.configure(
default={'ho... | python | def configure(self, **kwargs):
"""
Configure multiple connections at once, useful for passing in config
dictionaries obtained from other sources, like Django's settings or a
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/connections.py | Connections.remove_connection | def remove_connection(self, alias):
"""
Remove connection from the registry. Raises ``KeyError`` if connection
wasn't found.
"""
errors = 0
for d in (self._conns, self._kwargs):
try:
del d[alias]
except KeyError:
err... | python | def remove_connection(self, alias):
"""
Remove connection from the registry. Raises ``KeyError`` if connection
wasn't found.
"""
errors = 0
for d in (self._conns, self._kwargs):
try:
del d[alias]
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/connections.py | Connections.create_connection | def create_connection(self, alias='default', **kwargs):
"""
Construct an instance of ``elasticsearch.Elasticsearch`` and register
it under given alias.
"""
kwargs.setdefault('serializer', serializer)
conn = self._conns[alias] = Elasticsearch(**kwargs)
return conn | python | def create_connection(self, alias='default', **kwargs):
"""
Construct an instance of ``elasticsearch.Elasticsearch`` and register
it under given alias.
"""
kwargs.setdefault('serializer', serializer)
conn = self._conns[alias] = Elasticsearch(**kwargs)
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/connections.py | Connections.get_connection | def get_connection(self, alias='default'):
"""
Retrieve a connection, construct it if necessary (only configuration
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elastic/elasticsearch-dsl-py | examples/alias_migration.py | setup | def setup():
"""
Create the index template in elasticsearch specifying the mappings and any
settings to be used. This can be run at any time, ideally at every new code
deploy.
"""
# create an index template
index_template = BlogPost._index.as_template(ALIAS, PATTERN)
# upload the templat... | python | def setup():
"""
Create the index template in elasticsearch specifying the mappings and any
settings to be used. This can be run at any time, ideally at every new code
deploy.
"""
# create an index template
index_template = BlogPost._index.as_template(ALIAS, PATTERN)
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elastic/elasticsearch-dsl-py | examples/alias_migration.py | migrate | def migrate(move_data=True, update_alias=True):
"""
Upgrade function that creates a new index for the data. Optionally it also can
(and by default will) reindex previous copy of the data into the new index
(specify ``move_data=False`` to skip this step) and update the alias to
point to the latest in... | python | def migrate(move_data=True, update_alias=True):
"""
Upgrade function that creates a new index for the data. Optionally it also can
(and by default will) reindex previous copy of the data into the new index
(specify ``move_data=False`` to skip this step) and update the alias to
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/analysis.py | CustomAnalyzer.simulate | def simulate(self, text, using='default', explain=False, attributes=None):
"""
Use the Analyze API of elasticsearch to test the outcome of this analyzer.
:arg text: Text to be analyzed
:arg using: connection alias to use, defaults to ``'default'``
:arg explain: will output all t... | python | def simulate(self, text, using='default', explain=False, attributes=None):
"""
Use the Analyze API of elasticsearch to test the outcome of this analyzer.
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elastic/elasticsearch-dsl-py | examples/parent_child.py | Question.get_answers | def get_answers(self):
"""
Get answers either from inner_hits already present or by searching
elasticsearch.
"""
if 'inner_hits' in self.meta and 'answer' in self.meta.inner_hits:
return self.meta.inner_hits.answer.hits
return list(self.search_answers()) | python | def get_answers(self):
"""
Get answers either from inner_hits already present or by searching
elasticsearch.
"""
if 'inner_hits' in self.meta and 'answer' in self.meta.inner_hits:
return self.meta.inner_hits.answer.hits
return list(self.search_answers()) | [
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/faceted_search.py | Facet.get_aggregation | def get_aggregation(self):
"""
Return the aggregation object.
"""
agg = A(self.agg_type, **self._params)
if self._metric:
agg.metric('metric', self._metric)
return agg | python | def get_aggregation(self):
"""
Return the aggregation object.
"""
agg = A(self.agg_type, **self._params)
if self._metric:
agg.metric('metric', self._metric)
return agg | [
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elastic/elasticsearch-dsl-py | elasticsearch_dsl/faceted_search.py | Facet.add_filter | def add_filter(self, filter_values):
"""
Construct a filter.
"""
if not filter_values:
return
f = self.get_value_filter(filter_values[0])
for v in filter_values[1:]:
f |= self.get_value_filter(v)
return f | python | def add_filter(self, filter_values):
"""
Construct a filter.
"""
if not filter_values:
return
f = self.get_value_filter(filter_values[0])
for v in filter_values[1:]:
f |= self.get_value_filter(v)
return f | [
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