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value | url stringlengths 87 315 | code_tokens listlengths 19 28.4k | sha stringlengths 40 40 |
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train | apply_overwrites_to_context | Modify the given context in place based on the overwrite_context. | cookiecutter/generate.py | def apply_overwrites_to_context(context, overwrite_context):
"""Modify the given context in place based on the overwrite_context."""
for variable, overwrite in overwrite_context.items():
if variable not in context:
# Do not include variables which are not used in the template
con... | def apply_overwrites_to_context(context, overwrite_context):
"""Modify the given context in place based on the overwrite_context."""
for variable, overwrite in overwrite_context.items():
if variable not in context:
# Do not include variables which are not used in the template
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train | generate_context | Generate the context for a Cookiecutter project template.
Loads the JSON file as a Python object, with key being the JSON filename.
:param context_file: JSON file containing key/value pairs for populating
the cookiecutter's variables.
:param default_context: Dictionary containing config to take in... | cookiecutter/generate.py | def generate_context(context_file='cookiecutter.json', default_context=None,
extra_context=None):
"""Generate the context for a Cookiecutter project template.
Loads the JSON file as a Python object, with key being the JSON filename.
:param context_file: JSON file containing key/value ... | def generate_context(context_file='cookiecutter.json', default_context=None,
extra_context=None):
"""Generate the context for a Cookiecutter project template.
Loads the JSON file as a Python object, with key being the JSON filename.
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train | generate_file | Render filename of infile as name of outfile, handle infile correctly.
Dealing with infile appropriately:
a. If infile is a binary file, copy it over without rendering.
b. If infile is a text file, render its contents and write the
rendered infile to outfile.
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... | cookiecutter/generate.py | def generate_file(project_dir, infile, context, env):
"""Render filename of infile as name of outfile, handle infile correctly.
Dealing with infile appropriately:
a. If infile is a binary file, copy it over without rendering.
b. If infile is a text file, render its contents and write the
... | def generate_file(project_dir, infile, context, env):
"""Render filename of infile as name of outfile, handle infile correctly.
Dealing with infile appropriately:
a. If infile is a binary file, copy it over without rendering.
b. If infile is a text file, render its contents and write the
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train | render_and_create_dir | Render name of a directory, create the directory, return its path. | cookiecutter/generate.py | 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 =... | 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)
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train | _run_hook_from_repo_dir | 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_dir: The directory to execute the script from.
:param context: Cookiecutter project context.
:param delete_project_on_failure... | cookiecutter/generate.py | 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... | def _run_hook_from_repo_dir(repo_dir, hook_name, project_dir, context,
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"""Run hook from repo directory, clean project directory if hook fails.
:param repo_dir: Project template input directory.
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train | generate_files | 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 the generated project dir into.
:param overwrite_if_exists: Overwrite the contents of the output directory
... | cookiecutter/generate.py | 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 ... | 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.
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train | _expand_path | Expand both environment variables and user home in the given path. | cookiecutter/config.py | 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 | 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)
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train | merge_configs | Recursively update a dict with the key/value pair of another.
Dict values that are dictionaries themselves will be updated, whilst
preserving existing keys. | cookiecutter/config.py | 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... | 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
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"""
new_config = copy.deepcopy(default)
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train | get_config | Retrieve the config from the specified path, returning a config dict. | cookiecutter/config.py | 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:
... | 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))
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train | get_user_config | 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 the user config from that.
Otherwise look up the config file path... | cookiecutter/config.py | 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... | 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
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train | force_delete | Error handler for `shutil.rmtree()` equivalent to `rm -rf`.
Usage: `shutil.rmtree(path, onerror=force_delete)`
From stackoverflow.com/questions/1889597 | cookiecutter/utils.py | 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) | 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
"""
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train | make_sure_path_exists | Ensure that a directory exists.
:param path: A directory path. | cookiecutter/utils.py | 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... | 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))
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train | work_in | Context manager version of os.chdir.
When exited, returns to the working directory prior to entering. | cookiecutter/utils.py | 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) | 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)
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finally:
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train | make_executable | Make `script_path` executable.
:param script_path: The file to change | cookiecutter/utils.py | 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) | 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) | [
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train | prompt_and_delete | 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.
:param no_input: Suppress prompt to delete repo and jus... | cookiecutter/utils.py | 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.
... | 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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train | unzip | 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 a URL or a file?
:param clone_to_dir: The cookiecutter repository directory
... | cookiecutter/zipfile.py | 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... | 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.
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train | cookiecutter | Run Cookiecutter just as if using it from the command line.
:param template: A directory containing a project template directory,
or a URL to a git repository.
:param checkout: The branch, tag or commit ID to checkout after clone.
:param no_input: Prompt the user at command line for manual configur... | cookiecutter/main.py | 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... | 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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train | read_user_yes_no | 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 input happens | cookiecutter/prompt.py | 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... | 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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train | read_user_choice | 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
:return: Exactly one item of ``options`` that... | cookiecutter/prompt.py | 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
... | def read_user_choice(var_name, options):
"""Prompt the user to choose from several options for the given variable.
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: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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train | read_user_dict | 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. | cookiecutter/prompt.py | 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... | 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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train | render_variable | 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(" ", "_") }}`.
This is then presented to the user as the default.
... | cookiecutter/prompt.py | 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(" ", "_") }}`.
... | 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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train | prompt_choice_for_config | Prompt the user which option to choose from the given. Each of the
possible choices is rendered beforehand. | cookiecutter/prompt.py | 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... | 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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train | prompt_for_config | 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/prompt.py | 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... | 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?
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cookiecutter_dict = OrderedDict([])
env = StrictEnvironme... | [
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train | ExtensionLoaderMixin._read_extensions | 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. | cookiecutter/environment.py | 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.
"""
try:
extensions = context['cookiecutter']['_extensions']
except KeyErr... | 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.
"""
try:
extensions = context['cookiecutter']['_extensions']
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train | configure_logger | 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. | cookiecutter/log.py | 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... | 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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train | identify_repo | 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. | cookiecutter/vcs.py | 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 ... | 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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train | clone | 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.
Defaults to the current directory.
:param no_input: Suppress all user prompts... | cookiecutter/vcs.py | 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.
Defa... | 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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train | valid_hook | 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 | cookiecutter/hooks.py | 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... | 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]
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train | find_hook | Return a dict of all hook scripts provided.
Must be called with the project template as the current working directory.
Dict's key will be the hook/script's name, without extension, while values
will be the absolute path to the script. Missing scripts will not be
included in the returned dict.
:par... | cookiecutter/hooks.py | 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.
Dict's key will be the hook/script's name, without extension, while values
will be the absolute path to the script. Missing scripts will... | def find_hook(hook_name, hooks_dir='hooks'):
"""Return a dict of all hook scripts provided.
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train | run_script | 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. | cookiecutter/hooks.py | 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... | 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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train | run_script_with_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.
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:param context: Cookiecutter project template context.
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train | run_hook | 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. | cookiecutter/hooks.py | 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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train | version_msg | Return the Cookiecutter version, location and Python powering it. | cookiecutter/cli.py | 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) | 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 {})'
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train | validate_extra_context | Validate extra context. | cookiecutter/cli.py | def validate_extra_context(ctx, param, value):
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train | main | Create a project from a Cookiecutter project template (TEMPLATE).
Cookiecutter is free and open source software, developed and managed by
volunteers. If you would like to help out or fund the project, please get
in touch at https://github.com/audreyr/cookiecutter. | cookiecutter/cli.py | 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).
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train | MountedType.mounted | Mount the UnmountedType instance | graphene/types/mountedtype.py | 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... | def mounted(cls, unmounted): # noqa: N802
"""
Mount the UnmountedType instance
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assert isinstance(unmounted, UnmountedType), ("{} can't mount {}").format(
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return cls(
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train | Parameter.replace | Creates a customized copy of the Parameter. | graphene/pyutils/signature.py | def replace(
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kind=_void,
annotation=_void,
default=_void,
_partial_kwarg=_void,
):
"""Creates a customized copy of the Parameter."""
if name is _void:
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kind = self._... | [
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train | Signature.from_function | Constructs Signature for the given python function | graphene/pyutils/signature.py | 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... | 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... | [
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train | Signature.replace | Creates a customized copy of the Signature.
Pass 'parameters' and/or 'return_annotation' arguments
to override them in the new copy. | graphene/pyutils/signature.py | def replace(self, parameters=_void, return_annotation=_void):
"""Creates a customized copy of the Signature.
Pass 'parameters' and/or 'return_annotation' arguments
to override them in the new copy.
"""
if parameters is _void:
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... | def replace(self, parameters=_void, return_annotation=_void):
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train | Signature._bind | Private method. Don't use directly. | graphene/pyutils/signature.py | def _bind(self, args, kwargs, partial=False):
"""Private method. Don't use directly."""
arguments = OrderedDict()
parameters = iter(self.parameters.values())
parameters_ex = ()
arg_vals = iter(args)
if partial:
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train | Signature.bind_partial | Get a BoundArguments object, that partially maps the
passed `args` and `kwargs` to the function's signature.
Raises `TypeError` if the passed arguments can not be bound. | graphene/pyutils/signature.py | 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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train | is_node | Check if the given objecttype has Node as an interface | graphene/relay/node.py | def is_node(objecttype):
"""
Check if the given objecttype has Node as an interface
"""
if not isclass(objecttype):
return False
if not issubclass(objecttype, ObjectType):
return False
for i in objecttype._meta.interfaces:
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Check if the given objecttype has Node as an interface
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train | get_complete_version | Returns a tuple of the graphene version. If version argument is non-empty,
then checks for correctness of the tuple provided. | graphene/pyutils/version.py | 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:
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assert versi... | def get_complete_version(version=None):
"""Returns a tuple of the graphene version. If version argument is non-empty,
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if version is None:
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train | maybe_thenable | Execute a on_resolve function once the thenable is resolved,
returning the same type of object inputed.
If the object is not thenable, it should return on_resolve(obj) | graphene/utils/thenables.py | def maybe_thenable(obj, on_resolve):
"""
Execute a on_resolve function once the thenable is resolved,
returning the same type of object inputed.
If the object is not thenable, it should return on_resolve(obj)
"""
if isawaitable(obj) and not isinstance(obj, Promise):
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Execute a on_resolve function once the thenable is resolved,
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Get type mounted
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if isinstance(value, MountedType):
return value
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if _as is None:
return value
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Get type mounted
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Automatically construct the suggestion input and weight by taking all
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Get all the fields defined for our class, if we have an Index, try
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train | UpdateByQuery._clone | Return a clone of the current search request. Performs a shallow copy
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"""
Return a clone of the current search request. Performs a shallow copy
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train | UpdateByQuery.response_class | Override the default wrapper used for the response. | elasticsearch_dsl/update_by_query.py | def response_class(self, cls):
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Override the default wrapper used for the response.
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train | UpdateByQuery.update_from_dict | Apply options from a serialized body to the current instance. Modifies
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"""
Apply options from a serialized body to the current instance. Modifies
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"""
d = d.copy()
if 'query' in d:
self.query._proxied = Q(d.pop('query'))
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... | elasticsearch_dsl/update_by_query.py | def script(self, **kwargs):
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train | UpdateByQuery.execute | Execute the search and return an instance of ``Response`` wrapping all
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"""
Execute the search and return an instance of ``Response`` wrapping all
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"""
es = connections.get_connection(self._using)
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train | Properties._collect_fields | Iterate over all Field objects within, including multi fields. | elasticsearch_dsl/mapping.py | def _collect_fields(self):
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for f in itervalues(self.properties.to_dict()):
yield f
# multi fields
if hasattr(f, 'fields'):
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i.settings(number_of_shards=1)
i.create()
i2 = i.clone('other-index')
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"""
Create a copy of the instance with another name or connection alias.
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i.settings(number_of_shards=1)
i.create()
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train | Index.document | Associate a :class:`~elasticsearch_dsl.Document` subclass with an index.
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Associate a :class:`~elasticsearch_dsl.Document` subclass with an index.
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Associate a :class:`~elasticsearch_dsl.Document` subclass with an index.
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train | Index.updateByQuery | Return a :class:`~elasticsearch_dsl.UpdateByQuery` object searching over the index
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train | Index.create | Creates the index in elasticsearch.
Any additional keyword arguments will be passed to
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"""
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) | def create(self, using=None, **kwargs):
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train | Index.save | Sync the index definition with elasticsearch, creating the index if it
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train | Index.analyze | Perform the analysis process on a text and return the tokens breakdown
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Perform the analysis process on a text and return the tokens breakdown
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train | Index.refresh | Preforms a refresh operation on the index.
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"""
Preforms a refresh operation on the index.
Any additional keyword arguments will be passed to
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"""
return self._get_connection(using).indices.refresh(index=self._name, **kwargs) | def refresh(self, using=None, **kwargs):
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Preforms a refresh operation on the index.
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train | Index.flush | Preforms a flush operation on the index.
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"""
Preforms a flush operation on the index.
Any additional keyword arguments will be passed to
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"""
return self._get_connection(using).indices.flush(index=self._name, **kwargs) | def flush(self, using=None, **kwargs):
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Preforms a flush operation on the index.
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train | Index.get | The get index API allows to retrieve information about the index.
Any additional keyword arguments will be passed to
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"""
The get index API allows to retrieve information about the index.
Any additional keyword arguments will be passed to
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"""
return self._get_connection(using).indices.get(index=self._name, **k... | def get(self, using=None, **kwargs):
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train | Index.open | Opens the index in elasticsearch.
Any additional keyword arguments will be passed to
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"""
Opens the index in elasticsearch.
Any additional keyword arguments will be passed to
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"""
return self._get_connection(using).indices.open(index=self._name, **kwargs) | def open(self, using=None, **kwargs):
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Opens the index in elasticsearch.
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"""
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train | Index.close | Closes the index in elasticsearch.
Any additional keyword arguments will be passed to
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"""
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) | 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) | [
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train | Index.delete | Deletes the index in elasticsearch.
Any additional keyword arguments will be passed to
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"""
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) | 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) | [
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train | Index.exists | Returns ``True`` if the index already exists in elasticsearch.
Any additional keyword arguments will be passed to
``Elasticsearch.indices.exists`` unchanged. | elasticsearch_dsl/index.py | def exists(self, using=None, **kwargs):
"""
Returns ``True`` if the index already exists in elasticsearch.
Any additional keyword arguments will be passed to
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"""
return self._get_connection(using).indices.exists(index=self._nam... | def exists(self, using=None, **kwargs):
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train | Index.exists_type | Check if a type/types exists in the index.
Any additional keyword arguments will be passed to
``Elasticsearch.indices.exists_type`` unchanged. | elasticsearch_dsl/index.py | def exists_type(self, using=None, **kwargs):
"""
Check if a type/types exists in the index.
Any additional keyword arguments will be passed to
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"""
return self._get_connection(using).indices.exists_type(index=self._name, **... | def exists_type(self, using=None, **kwargs):
"""
Check if a type/types exists in the index.
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train | Index.put_mapping | Register specific mapping definition for a specific type.
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train | Index.get_mapping | Retrieve specific mapping definition for a specific type.
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train | Index.get_field_mapping | Retrieve mapping definition of a specific field.
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train | Index.put_alias | Create an alias for the index.
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Create an alias for the index.
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Create an alias for the index.
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train | Index.exists_alias | Return a boolean indicating whether given alias exists for this index.
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"""
Return a boolean indicating whether given alias exists for this index.
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Return a boolean indicating whether given alias exists for this index.
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train | Index.get_alias | Retrieve a specified alias.
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"""
Retrieve a specified alias.
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return self._get_connection(using).indices.get_alias(index=self._name, **kwargs) | def get_alias(self, using=None, **kwargs):
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Retrieve a specified alias.
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train | Index.delete_alias | Delete specific alias.
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"""
Delete specific alias.
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"""
return self._get_connection(using).indices.delete_alias(index=self._name, **kwargs) | def delete_alias(self, using=None, **kwargs):
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Delete specific alias.
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train | Index.get_settings | Retrieve settings for the index.
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Retrieve settings for the index.
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return self._get_connection(using).indices.get_settings(index=self._name, **kwargs) | def get_settings(self, using=None, **kwargs):
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Retrieve settings for the index.
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train | Index.put_settings | Change specific index level settings in real time.
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Change specific index level settings in real time.
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train | Index.stats | Retrieve statistics on different operations happening on the index.
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"""
Retrieve statistics on different operations happening on the index.
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"""
return self._get_connection(using).indices.stats(index=self._n... | def stats(self, using=None, **kwargs):
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Retrieve statistics on different operations happening on the index.
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train | Index.segments | Provide low level segments information that a Lucene index (shard
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"""
Provide low level segments information that a Lucene index (shard
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train | Index.validate_query | Validate a potentially expensive query without executing it.
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"""
Validate a potentially expensive query without executing it.
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"""
return self._get_connection(using).indices.validate... | def validate_query(self, using=None, **kwargs):
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Validate a potentially expensive query without executing it.
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train | Index.clear_cache | Clear all caches or specific cached associated with the index.
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"""
Clear all caches or specific cached associated with the index.
Any additional keyword arguments will be passed to
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"""
return self._get_connection(using).indices.clear_cache(... | def clear_cache(self, using=None, **kwargs):
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Clear all caches or specific cached associated with the index.
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train | Index.recovery | The indices recovery API provides insight into on-going shard
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"""
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train | Index.upgrade | Upgrade the index to the latest format.
Any additional keyword arguments will be passed to
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"""
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) | def upgrade(self, using=None, **kwargs):
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Upgrade the index to the latest format.
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train | Index.get_upgrade | Monitor how much of the index is upgraded.
Any additional keyword arguments will be passed to
``Elasticsearch.indices.get_upgrade`` unchanged. | elasticsearch_dsl/index.py | def get_upgrade(self, using=None, **kwargs):
"""
Monitor how much of the index is upgraded.
Any additional keyword arguments will be passed to
``Elasticsearch.indices.get_upgrade`` unchanged.
"""
return self._get_connection(using).indices.get_upgrade(index=self._name, **... | def get_upgrade(self, using=None, **kwargs):
"""
Monitor how much of the index is upgraded.
Any additional keyword arguments will be passed to
``Elasticsearch.indices.get_upgrade`` unchanged.
"""
return self._get_connection(using).indices.get_upgrade(index=self._name, **... | [
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train | Index.flush_synced | Perform a normal flush, then add a generated unique marker (sync_id) to
all shards.
Any additional keyword arguments will be passed to
``Elasticsearch.indices.flush_synced`` unchanged. | elasticsearch_dsl/index.py | def flush_synced(self, using=None, **kwargs):
"""
Perform a normal flush, then add a generated unique marker (sync_id) to
all shards.
Any additional keyword arguments will be passed to
``Elasticsearch.indices.flush_synced`` unchanged.
"""
return self._get_connect... | def flush_synced(self, using=None, **kwargs):
"""
Perform a normal flush, then add a generated unique marker (sync_id) to
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Any additional keyword arguments will be passed to
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train | Index.shard_stores | Provides store information for shard copies of the index. Store
information reports on which nodes shard copies exist, the shard copy
version, indicating how recent they are, and any exceptions encountered
while opening the shard index or from earlier engine failure.
Any additional keyw... | elasticsearch_dsl/index.py | def shard_stores(self, using=None, **kwargs):
"""
Provides store information for shard copies of the index. Store
information reports on which nodes shard copies exist, the shard copy
version, indicating how recent they are, and any exceptions encountered
while opening the shard ... | def shard_stores(self, using=None, **kwargs):
"""
Provides store information for shard copies of the index. Store
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train | Index.forcemerge | The force merge API allows to force merging of the index through an
API. The merge relates to the number of segments a Lucene index holds
within each shard. The force merge operation allows to reduce the
number of segments by merging them.
This call will block until the merge is complet... | elasticsearch_dsl/index.py | def forcemerge(self, using=None, **kwargs):
"""
The force merge API allows to force merging of the index through an
API. The merge relates to the number of segments a Lucene index holds
within each shard. The force merge operation allows to reduce the
number of segments by mergin... | def forcemerge(self, using=None, **kwargs):
"""
The force merge API allows to force merging of the index through an
API. The merge relates to the number of segments a Lucene index holds
within each shard. The force merge operation allows to reduce the
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train | Index.shrink | The shrink index API allows you to shrink an existing index into a new
index with fewer primary shards. The number of primary shards in the
target index must be a factor of the shards in the source index. For
example an index with 8 primary shards can be shrunk into 4, 2 or 1
primary sha... | elasticsearch_dsl/index.py | def shrink(self, using=None, **kwargs):
"""
The shrink index API allows you to shrink an existing index into a new
index with fewer primary shards. The number of primary shards in the
target index must be a factor of the shards in the source index. For
example an index with 8 pri... | def shrink(self, using=None, **kwargs):
"""
The shrink index API allows you to shrink an existing index into a new
index with fewer primary shards. The number of primary shards in the
target index must be a factor of the shards in the source index. For
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train | Connections.configure | Configure multiple connections at once, useful for passing in config
dictionaries obtained from other sources, like Django's settings or a
configuration management tool.
Example::
connections.configure(
default={'hosts': 'localhost'},
dev={'hosts': [... | elasticsearch_dsl/connections.py | 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
configuration management tool.
Example::
connections.configure(
default={'ho... | 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
configuration management tool.
Example::
connections.configure(
default={'ho... | [
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train | Connections.remove_connection | Remove connection from the registry. Raises ``KeyError`` if connection
wasn't found. | elasticsearch_dsl/connections.py | 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... | 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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train | Connections.create_connection | Construct an instance of ``elasticsearch.Elasticsearch`` and register
it under given alias. | elasticsearch_dsl/connections.py | 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 | 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 | [
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train | Connections.get_connection | Retrieve a connection, construct it if necessary (only configuration
was passed to us). If a non-string alias has been passed through we
assume it's already a client instance and will just return it as-is.
Raises ``KeyError`` if no client (or its definition) is registered
under the alia... | elasticsearch_dsl/connections.py | def get_connection(self, alias='default'):
"""
Retrieve a connection, construct it if necessary (only configuration
was passed to us). If a non-string alias has been passed through we
assume it's already a client instance and will just return it as-is.
Raises ``KeyError`` if no ... | def get_connection(self, alias='default'):
"""
Retrieve a connection, construct it if necessary (only configuration
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assume it's already a client instance and will just return it as-is.
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train | 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. | examples/alias_migration.py | 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... | 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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train | migrate | 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 index (set ``update_alias=False`` to skip).
Note that whi... | examples/alias_migration.py | 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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"""
Upgrade function that creates a new index for the data. Optionally it also can
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train | CustomAnalyzer.simulate | 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 token attributes for each token. You can
filter token attributes you want to output ... | elasticsearch_dsl/analysis.py | 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... | 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'``
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