sentence1 stringlengths 52 3.87M | sentence2 stringlengths 1 47.2k | label stringclasses 1
value |
|---|---|---|
def get(self,
variable_path: str,
default: t.Optional[t.Any] = None,
coerce_type: t.Optional[t.Type] = None,
coercer: t.Optional[t.Callable] = None,
**kwargs):
"""
Reads a value of ``variable_path`` from consul kv storage.
:param varia... | Reads a value of ``variable_path`` from consul kv storage.
:param variable_path: a delimiter-separated path to a nested value
:param default: default value if there's no object by specified path
:param coerce_type: cast a type of a value to a specified one
:param coercer: perform a type... | entailment |
def add_format(mimetype, format, requires_context=False):
""" Registers a new format to be used in a graph's serialize call
If you've installed an rdflib serializer plugin, use this
to add it to the content negotiation system
Set requires_context=True if this format requires a context-aware graph
"""
... | Registers a new format to be used in a graph's serialize call
If you've installed an rdflib serializer plugin, use this
to add it to the content negotiation system
Set requires_context=True if this format requires a context-aware graph | entailment |
def add_format(self, mimetype, format, requires_context=False):
""" Registers a new format to be used in a graph's serialize call
If you've installed an rdflib serializer plugin, use this
to add it to the content negotiation system
Set requires_context=True if this format requires a context-aware gr... | Registers a new format to be used in a graph's serialize call
If you've installed an rdflib serializer plugin, use this
to add it to the content negotiation system
Set requires_context=True if this format requires a context-aware graph | entailment |
def get_default_mimetype(self):
""" Returns the default mimetype """
mimetype = self.default_mimetype
if mimetype is None: # class inherits from module default
mimetype = DEFAULT_MIMETYPE
if mimetype is None: # module is set to None?
mimetype = 'application/rdf+xml'
return mimetype | Returns the default mimetype | entailment |
def get_wildcard_mimetype(self):
""" Returns the mimetype if the client sends */* """
mimetype = self.wildcard_mimetype
if mimetype is None: # class inherits from module default
mimetype = WILDCARD_MIMETYPE
if mimetype is None: # module is set to None?
mimetype = 'application/rdf+xml'
return mimetype | Returns the mimetype if the client sends */* | entailment |
def decide_mimetype(self, accepts, context_aware = False):
""" Returns what mimetype the client wants to receive
Parses the given Accept header and returns the best one that
we know how to output
An empty Accept will default to application/rdf+xml
An Accept with */* use rdf+xml unless a better... | Returns what mimetype the client wants to receive
Parses the given Accept header and returns the best one that
we know how to output
An empty Accept will default to application/rdf+xml
An Accept with */* use rdf+xml unless a better match is found
An Accept that doesn't match anything will ... | entailment |
def get_serialize_format(self, mimetype):
""" Get the serialization format for the given mimetype """
format = self.formats.get(mimetype, None)
if format is None:
format = formats.get(mimetype, None)
return format | Get the serialization format for the given mimetype | entailment |
def decide(self, accepts, context_aware=False):
""" Returns what (mimetype,format) the client wants to receive
Parses the given Accept header and picks the best one that
we know how to output
Returns (mimetype, format)
An empty Accept will default to rdf+xml
An Accept with */* use rdf+xm... | Returns what (mimetype,format) the client wants to receive
Parses the given Accept header and picks the best one that
we know how to output
Returns (mimetype, format)
An empty Accept will default to rdf+xml
An Accept with */* use rdf+xml unless a better match is found
An Accept that ... | entailment |
def wants_rdf(self, accepts):
""" Returns whether this client's Accept header indicates
that the client wants to receive RDF
"""
mimetype = mimeparse.best_match(all_mimetypes + self.all_mimetypes + [WILDCARD], accepts)
return mimetype and mimetype != WILDCARD | Returns whether this client's Accept header indicates
that the client wants to receive RDF | entailment |
async def send_http(session, method, url, *,
retries=1,
interval=1,
backoff=2,
http_status_codes_to_retry=HTTP_STATUS_CODES_TO_RETRY,
fn=lambda x:x,
**kwargs):
"""
Sends a HTTP request and imp... | Sends a HTTP request and implements a retry logic.
Arguments:
session (obj): A client aiohttp session object
method (str): Method to use
url (str): URL for the request
retries (int): Number of times to retry in case of failure
interval (float): Time to wait before retries
... | entailment |
def generate_output(self, writer):
"""
Generates the sitemap file and the stylesheet file and puts them into the content dir.
:param writer: the writer instance
:type writer: pelican.writers.Writer
"""
# write xml stylesheet
with codecs_open(os.path.join(os.path.d... | Generates the sitemap file and the stylesheet file and puts them into the content dir.
:param writer: the writer instance
:type writer: pelican.writers.Writer | entailment |
def __get_direct_template_url(self, name):
"""
Returns the URL for the given DIRECT_TEMPLATE name.
Favors ${DIRECT_TEMPLATE}_SAVE_AS over the default path.
:param name: name of the direct template
:return: str
"""
url = self.pelican_settings.get('{}_SAVE_AS'.forma... | Returns the URL for the given DIRECT_TEMPLATE name.
Favors ${DIRECT_TEMPLATE}_SAVE_AS over the default path.
:param name: name of the direct template
:return: str | entailment |
def __process_url_wrapper_elements(self, elements):
"""
Creates the url nodes for pelican.urlwrappers.Category and pelican.urlwrappers.Tag.
:param elements: list of wrapper elements
:type elements: list
:return: the processes urls as HTML
:rtype: str
"""
u... | Creates the url nodes for pelican.urlwrappers.Category and pelican.urlwrappers.Tag.
:param elements: list of wrapper elements
:type elements: list
:return: the processes urls as HTML
:rtype: str | entailment |
def __create_url_node_for_content(self, content, content_type, url=None, modification_time=None):
"""
Creates the required <url> node for the sitemap xml.
:param content: the content class to handle
:type content: pelican.contents.Content | None
:param content_type: the type of t... | Creates the required <url> node for the sitemap xml.
:param content: the content class to handle
:type content: pelican.contents.Content | None
:param content_type: the type of the given content to match settings.EXTENDED_SITEMAP_PLUGIN
:type content_type; str
:param url; if give... | entailment |
def get_missing_commands(_platform):
"""Check I can identify the necessary commands for managing users."""
missing = list()
if _platform in ('Linux', 'OpenBSD'):
if not LINUX_CMD_USERADD:
missing.append('useradd')
if not LINUX_CMD_USERMOD:
missing.append('usermod')
... | Check I can identify the necessary commands for managing users. | entailment |
def execute_command(command=None):
"""Execute a command and return the stdout and stderr."""
process = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout, stdin = process.communicate()
process.wait()
return (stdout, stdin), process.returncode | Execute a command and return the stdout and stderr. | entailment |
def base64encode(_input=None):
"""Return base64 encoded representation of a string."""
if PY2: # pragma: no cover
return base64.b64encode(_input)
elif PY3: # pragma: no cover
if isinstance(_input, bytes):
return base64.b64encode(_input).decode('UTF-8')
elif isinstance(_... | Return base64 encoded representation of a string. | entailment |
def base64decode(_input=None):
"""Take a base64 encoded string and return the decoded string."""
missing_padding = 4 - len(_input) % 4
if missing_padding:
_input += '=' * missing_padding
if PY2: # pragma: no cover
return base64.decodestring(_input)
elif PY3: # pragma: no cover
... | Take a base64 encoded string and return the decoded string. | entailment |
def read_sudoers():
""" Read the sudoers entry for the specified user.
args:
username (str): username.
returns:`r
str: sudoers entry for the specified user.
"""
sudoers_path = '/etc/sudoers'
rnd_chars = random_string(length=RANDOM_FILE_EXT_LENGTH)
tmp_sudoers_path = '/tmp/s... | Read the sudoers entry for the specified user.
args:
username (str): username.
returns:`r
str: sudoers entry for the specified user. | entailment |
def write_sudoers_entry(username=None, sudoers_entry=None):
"""Write sudoers entry.
args:
user (User): Instance of User containing sudoers entry.
returns:
str: sudoers entry for the specified user.
"""
sudoers_path = '/etc/sudoers'
rnd_chars = random_string(length=RANDOM_FILE_... | Write sudoers entry.
args:
user (User): Instance of User containing sudoers entry.
returns:
str: sudoers entry for the specified user. | entailment |
def get_sudoers_entry(username=None, sudoers_entries=None):
""" Find the sudoers entry in the sudoers file for the specified user.
args:
username (str): username.
sudoers_entries (list): list of lines from the sudoers file.
returns:`r
str: sudoers entry for the specified user.
... | Find the sudoers entry in the sudoers file for the specified user.
args:
username (str): username.
sudoers_entries (list): list of lines from the sudoers file.
returns:`r
str: sudoers entry for the specified user. | entailment |
def docstring(documentation, prepend=False, join=""):
r"""Prepend or append a string to the current documentation of the function.
This decorator should be robust even if ``func.__doc__`` is None
(for example, if -OO was passed to the interpreter).
Usage::
@docstring('Appended this line')
... | r"""Prepend or append a string to the current documentation of the function.
This decorator should be robust even if ``func.__doc__`` is None
(for example, if -OO was passed to the interpreter).
Usage::
@docstring('Appended this line')
def func():
"This docstring will have a l... | entailment |
def create_admin(user_config_path: str = 'CONFIG.superuser') -> bool:
"""
Creates a superuser from a specified dict/object bundle located at ``user_config_path``.
Skips if the specified object contains no email or no username.
If a user with the specified username already exists and has no usable passwo... | Creates a superuser from a specified dict/object bundle located at ``user_config_path``.
Skips if the specified object contains no email or no username.
If a user with the specified username already exists and has no usable password it updates user's password with
a specified one.
``user_config_path`` ... | entailment |
def run_gunicorn(application: WSGIHandler, gunicorn_module_name: str = 'gunicorn_prod'):
"""
Runs gunicorn with a specified config.
:param application: Django uwsgi application
:param gunicorn_module_name: gunicorn settings module name
:return: ``Application().run()``
"""
from gunicorn.app.... | Runs gunicorn with a specified config.
:param application: Django uwsgi application
:param gunicorn_module_name: gunicorn settings module name
:return: ``Application().run()`` | entailment |
def set_color(
fg=Color.normal,
bg=Color.normal,
fg_dark=False,
bg_dark=False,
underlined=False,
):
"""Set the console color.
>>> set_color(Color.red, Color.blue)
>>> set_color('red', 'blue')
>>> set_color() # returns back to normal
"""
_set_color(fg, bg, fg_dar... | Set the console color.
>>> set_color(Color.red, Color.blue)
>>> set_color('red', 'blue')
>>> set_color() # returns back to normal | entailment |
def cprint(
text,
fg=Color.normal,
bg=Color.normal,
fg_dark=False,
bg_dark=False,
underlined=False,
parse=False,
):
"""Print string in to stdout using colored font.
See L{set_color} for more details about colors.
Args:
text (str): Text that needs to be pri... | Print string in to stdout using colored font.
See L{set_color} for more details about colors.
Args:
text (str): Text that needs to be printed. | entailment |
def colorize_output(output, colors, indent=0):
r"""Print output to console using provided color mappings.
Color mapping is dict with regular expressions as key and tuple of two as
values. Key is used to match if line should be colorized and tuple contains
color to be used and boolean value that in... | r"""Print output to console using provided color mappings.
Color mapping is dict with regular expressions as key and tuple of two as
values. Key is used to match if line should be colorized and tuple contains
color to be used and boolean value that indicates if dark foreground
is used.
For ex... | entailment |
def _colorize_single_line(line, regexp, color_def):
"""Print single line to console with ability to colorize parts of it."""
match = regexp.match(line)
groupdict = match.groupdict()
groups = match.groups()
if not groupdict:
# no named groups, just colorize whole line
color = c... | Print single line to console with ability to colorize parts of it. | entailment |
def height(self):
"""Terminal height.
"""
if self.interactive:
if self._height is None:
self._height = self.term.height
return self._height | Terminal height. | entailment |
def clear_last_lines(self, n):
"""Clear last N lines of terminal output.
"""
self.term.stream.write(
self.term.move_up * n + self.term.clear_eos)
self.term.stream.flush() | Clear last N lines of terminal output. | entailment |
def overwrite_line(self, n, text):
"""Move back N lines and overwrite line with `text`.
"""
with self._moveback(n):
self.term.stream.write(text) | Move back N lines and overwrite line with `text`. | entailment |
def move_to(self, n):
"""Move back N lines in terminal.
"""
self.term.stream.write(self.term.move_up * n) | Move back N lines in terminal. | entailment |
def get(self,
variable_path: str,
default: t.Optional[t.Any] = None,
coerce_type: t.Optional[t.Type] = None,
coercer: t.Optional[t.Callable] = None,
required: bool = False,
**kwargs):
"""
Tries to read a ``variable_path`` from each ... | Tries to read a ``variable_path`` from each of the passed parsers.
It stops if read was successful and returns a retrieved value.
If none of the parsers contain a value for the specified path it returns ``default``.
:param variable_path: a path to variable in config
:param default: a de... | entailment |
def import_parsers(parser_modules: t.Iterable[str]) -> t.Generator[t.Type[BaseParser], None, None]:
"""
Resolves and imports all modules specified in ``parser_modules``. Short names from the local scope
are supported (the scope is ``django_docker_helpers.config.backends``).
:param parse... | Resolves and imports all modules specified in ``parser_modules``. Short names from the local scope
are supported (the scope is ``django_docker_helpers.config.backends``).
:param parser_modules: a list of dot-separated module paths
:return: a generator of [probably] :class:`~django_docker_helper... | entailment |
def load_parser_options_from_env(
parser_class: t.Type[BaseParser],
env: t.Optional[t.Dict[str, str]] = None) -> t.Dict[str, t.Any]:
"""
Extracts arguments from ``parser_class.__init__`` and populates them from environment variables.
Uses ``__init__`` argument type annot... | Extracts arguments from ``parser_class.__init__`` and populates them from environment variables.
Uses ``__init__`` argument type annotations for correct type casting.
.. note::
Environment variables should be prefixed with ``<UPPERCASEPARSERCLASSNAME>__``.
:param parser_class: a ... | entailment |
def from_env(parser_modules: t.Optional[t.Union[t.List[str], t.Tuple[str]]] = DEFAULT_PARSER_MODULES,
env: t.Optional[t.Dict[str, str]] = None,
silent: bool = False,
suppress_logs: bool = False,
extra: t.Optional[dict] = None) -> 'ConfigLoader':
... | Creates an instance of :class:`~django_docker_helpers.config.ConfigLoader`
with parsers initialized from environment variables.
By default it tries to initialize all bundled parsers.
Parsers may be customized with ``parser_modules`` argument or ``CONFIG__PARSERS`` environment variable.
... | entailment |
def print_config_read_queue(
self,
use_color: bool = False,
max_col_width: int = 50):
"""
Prints all read (in call order) options.
:param max_col_width: limit column width, ``50`` by default
:param use_color: use terminal colors
:return: nothi... | Prints all read (in call order) options.
:param max_col_width: limit column width, ``50`` by default
:param use_color: use terminal colors
:return: nothing | entailment |
def format_config_read_queue(self,
use_color: bool = False,
max_col_width: int = 50) -> str:
"""
Prepares a string with pretty printed config read queue.
:param use_color: use terminal colors
:param max_col_width: limit c... | Prepares a string with pretty printed config read queue.
:param use_color: use terminal colors
:param max_col_width: limit column width, ``50`` by default
:return: | entailment |
def get_graph(cls, response):
""" Given a Flask response, find the rdflib Graph """
if cls.is_graph(response): # single graph object
return response
if hasattr(response, '__getitem__'): # indexable tuple
if len(response) > 0 and \
cls.is_graph(response[0]): # graph object
return response[0] | Given a Flask response, find the rdflib Graph | entailment |
def replace_graph(cls, response, serialized):
""" Replace the rdflib Graph in a Flask response """
if cls.is_graph(response): # single graph object
return serialized
if hasattr(response, '__getitem__'): # indexable tuple
if len(response) > 0 and \
cls.is_graph(response[0]): # graph object
return ... | Replace the rdflib Graph in a Flask response | entailment |
def _from_hex_digest(digest):
"""Convert hex digest to sequence of bytes."""
return "".join(
[chr(int(digest[x : x + 2], 16)) for x in range(0, len(digest), 2)]
) | Convert hex digest to sequence of bytes. | entailment |
def encrypt(data, digest=True):
"""Perform encryption of provided data."""
alg = get_best_algorithm()
enc = implementations["encryption"][alg](
data, implementations["get_key"]()
)
return "%s$%s" % (alg, (_to_hex_digest(enc) if digest else enc)) | Perform encryption of provided data. | entailment |
def decrypt(data, digest=True):
"""Decrypt provided data."""
alg, _, data = data.rpartition("$")
if not alg:
return data
data = _from_hex_digest(data) if digest else data
try:
return implementations["decryption"][alg](
data, implementations["get_key"]()
)
exce... | Decrypt provided data. | entailment |
def one_greedy(self,dp,namax=None,nimax=None,nomax=None):
"""Reconstructs a directed acyclic graph according to prior information of edge significance.
This function first ranks all edges and introduce the most significant one by one, avoiding
those that would create a loop. Optional constraints on the maximum total... | Reconstructs a directed acyclic graph according to prior information of edge significance.
This function first ranks all edges and introduce the most significant one by one, avoiding
those that would create a loop. Optional constraints on the maximum total number of edges,
the number of incoming or outgoing edges fo... | entailment |
def gen_vocab(cli, args):
''' Generate vocabulary list from a tokenized file '''
if args.topk and args.topk <= 0:
topk = None
cli.logger.warning("Invalid k will be ignored (k should be greater than or equal to 1)")
else:
topk = args.topk
if args.stopwords:
with open(args.... | Generate vocabulary list from a tokenized file | entailment |
def main():
''' ChirpText Tools main function '''
app = CLIApp(desc='ChirpText Tools', logger=__name__, show_version=show_version)
# add tasks
vocab_task = app.add_task('vocab', func=gen_vocab)
vocab_task.add_argument('input', help='Input file')
vocab_task.add_argument('--output', help='Output f... | ChirpText Tools main function | entailment |
def add_attachment(message, attachment, rfc2231=True):
'''Attach an attachment to a message as a side effect.
Arguments:
message: MIMEMultipart instance.
attachment: Attachment instance.
'''
data = attachment.read()
part = MIMEBase('application', 'octet-stream')
part.set_payloa... | Attach an attachment to a message as a side effect.
Arguments:
message: MIMEMultipart instance.
attachment: Attachment instance. | entailment |
def _login(self):
'''Login to the SMTP server specified at instantiation
Returns an authenticated SMTP instance.
'''
server, port, mode, debug = self.connection_details
if mode == 'SSL':
smtp_class = smtplib.SMTP_SSL
else:
smtp_class = smtplib.SM... | Login to the SMTP server specified at instantiation
Returns an authenticated SMTP instance. | entailment |
def send(self, email, attachments=()):
'''Send an email. Connect/Disconnect if not already connected
Arguments:
email: Email instance to send.
attachments: iterable containing Attachment instances
'''
msg = email.as_mime(attachments)
if 'From' not in ms... | Send an email. Connect/Disconnect if not already connected
Arguments:
email: Email instance to send.
attachments: iterable containing Attachment instances | entailment |
def column_types(self):
"""Return a dict mapping column name to type for all columns in table
"""
column_types = {}
for c in self.sqla_columns:
column_types[c.name] = c.type
return column_types | Return a dict mapping column name to type for all columns in table | entailment |
def _valid_table_name(self, table_name):
"""Check if the table name is obviously invalid.
"""
if table_name is None or not len(table_name.strip()):
raise ValueError("Invalid table name: %r" % table_name)
return table_name.strip() | Check if the table name is obviously invalid. | entailment |
def add_primary_key(self, column="id"):
"""Add primary key constraint to specified column
"""
if not self.primary_key:
sql = """ALTER TABLE {s}.{t}
ADD PRIMARY KEY ({c})
""".format(
s=self.schema, t=self.name, c=column
... | Add primary key constraint to specified column | entailment |
def drop(self):
"""Drop the table from the database
"""
if self._is_dropped is False:
self.table.drop(self.engine)
self._is_dropped = True | Drop the table from the database | entailment |
def create_column(self, name, type):
"""
Explicitely create a new column ``name`` of a specified type.
``type`` must be a `SQLAlchemy column type <http://docs.sqlalchemy.org/en/rel_0_8/core/types.html>`_.
::
table.create_column('created_at', sqlalchemy.DateTime)
"""
... | Explicitely create a new column ``name`` of a specified type.
``type`` must be a `SQLAlchemy column type <http://docs.sqlalchemy.org/en/rel_0_8/core/types.html>`_.
::
table.create_column('created_at', sqlalchemy.DateTime) | entailment |
def drop_column(self, name):
"""
Drop the column ``name``
::
table.drop_column('created_at')
"""
self._check_dropped()
if name in list(self.table.columns.keys()):
self.op.drop_column(self.table.name, name, schema=self.schema)
self.tabl... | Drop the column ``name``
::
table.drop_column('created_at') | entailment |
def create_index(self, columns, name=None, index_type="btree"):
"""
Create an index to speed up queries on a table.
If no ``name`` is given a random name is created.
::
table.create_index(['name', 'country'])
"""
self._check_dropped()
if not name:
... | Create an index to speed up queries on a table.
If no ``name`` is given a random name is created.
::
table.create_index(['name', 'country']) | entailment |
def distinct(self, *columns, **_filter):
"""
Returns all rows of a table, but removes rows in with duplicate values in ``columns``.
Interally this creates a `DISTINCT statement <http://www.w3schools.com/sql/sql_distinct.asp>`_.
::
# returns only one row per year, ignoring th... | Returns all rows of a table, but removes rows in with duplicate values in ``columns``.
Interally this creates a `DISTINCT statement <http://www.w3schools.com/sql/sql_distinct.asp>`_.
::
# returns only one row per year, ignoring the rest
table.distinct('year')
# works... | entailment |
def insert(self, row):
"""
Add a row (type: dict) by inserting it into the table.
Columns must exist.
::
data = dict(title='I am a banana!')
table.insert(data)
Returns the inserted row's primary key.
"""
self._check_dropped()
res = ... | Add a row (type: dict) by inserting it into the table.
Columns must exist.
::
data = dict(title='I am a banana!')
table.insert(data)
Returns the inserted row's primary key. | entailment |
def insert_many(self, rows, chunk_size=1000):
"""
Add many rows at a time, which is significantly faster than adding
them one by one. Per default the rows are processed in chunks of
1000 per commit, unless you specify a different ``chunk_size``.
See :py:meth:`insert() <dataset.Ta... | Add many rows at a time, which is significantly faster than adding
them one by one. Per default the rows are processed in chunks of
1000 per commit, unless you specify a different ``chunk_size``.
See :py:meth:`insert() <dataset.Table.insert>` for details on
the other parameters.
... | entailment |
def rename(self, name):
"""Rename the table
"""
sql = """ALTER TABLE {s}.{t} RENAME TO {name}
""".format(
s=self.schema, t=self.name, name=name
)
self.engine.execute(sql)
self.table = SQLATable(name, self.metadata, schema=self.schema, autoload=Tr... | Rename the table | entailment |
def find_one(self, **kwargs):
"""
Works just like :py:meth:`find() <dataset.Table.find>` but returns one result, or None.
::
row = table.find_one(country='United States')
"""
kwargs["_limit"] = 1
iterator = self.find(**kwargs)
try:
return n... | Works just like :py:meth:`find() <dataset.Table.find>` but returns one result, or None.
::
row = table.find_one(country='United States') | entailment |
def find(
self,
_limit=None,
_offset=0,
_step=5000,
order_by="id",
return_count=False,
**_filter
):
"""
Performs a simple search on the table. Simply pass keyword arguments as ``filter``.
::
results = table.find(country='Fra... | Performs a simple search on the table. Simply pass keyword arguments as ``filter``.
::
results = table.find(country='France')
results = table.find(country='France', year=1980)
Using ``_limit``::
# just return the first 10 rows
results = table.find(country=... | entailment |
def connect(url=None, schema=None, sql_path=None, multiprocessing=False):
"""Open a new connection to postgres via psycopg2/sqlalchemy
"""
if url is None:
url = os.environ.get("DATABASE_URL")
return Database(url, schema, sql_path=sql_path, multiprocessing=multiprocessing) | Open a new connection to postgres via psycopg2/sqlalchemy | entailment |
def create_db(url=None):
"""Create a new database
"""
if url is None:
url = os.environ.get("DATABASE_URL")
parsed_url = urlparse(url)
db_name = parsed_url.path
db_name = db_name.strip("/")
db = connect("postgresql://" + parsed_url.netloc)
# check that db does not exist
q = ""... | Create a new database | entailment |
def drop_db(url):
"""Drop specified database
"""
parsed_url = urlparse(url)
db_name = parsed_url.path
db_name = db_name.strip("/")
db = connect("postgresql://" + parsed_url.netloc)
# check that db exists
q = """SELECT 1 as exists
FROM pg_database
WHERE datname = '{d... | Drop specified database | entailment |
def shred(key_name: str,
value: t.Any,
field_names: t.Iterable[str] = SHRED_DATA_FIELD_NAMES) -> t.Union[t.Any, str]:
"""
Replaces sensitive data in ``value`` with ``*`` if ``key_name`` contains something that looks like a secret.
:param field_names: a list of key names that can possibl... | Replaces sensitive data in ``value`` with ``*`` if ``key_name`` contains something that looks like a secret.
:param field_names: a list of key names that can possibly contain sensitive data
:param key_name: a key name to check
:param value: a value to mask
:return: an unchanged value if nothing to hide... | entailment |
def dot_path(obj: t.Union[t.Dict, object],
path: str,
default: t.Any = None,
separator: str = '.'):
"""
Provides an access to elements of a mixed dict/object type by a delimiter-separated path.
::
class O1:
my_dict = {'a': {'b': 1}}
class ... | Provides an access to elements of a mixed dict/object type by a delimiter-separated path.
::
class O1:
my_dict = {'a': {'b': 1}}
class O2:
def __init__(self):
self.nested = O1()
class O3:
final = O2()
o = O3()
assert uti... | entailment |
def dotkey(obj: dict, path: str, default=None, separator='.'):
"""
Provides an interface to traverse nested dict values by dot-separated paths. Wrapper for ``dpath.util.get``.
:param obj: dict like ``{'some': {'value': 3}}``
:param path: ``'some.value'``
:param separator: ``'.'`` or ``'/'`` or what... | Provides an interface to traverse nested dict values by dot-separated paths. Wrapper for ``dpath.util.get``.
:param obj: dict like ``{'some': {'value': 3}}``
:param path: ``'some.value'``
:param separator: ``'.'`` or ``'/'`` or whatever
:param default: default for KeyError
:return: dict value or de... | entailment |
def _materialize_dict(bundle: dict, separator: str = '.') -> t.Generator[t.Tuple[str, t.Any], None, None]:
"""
Traverses and transforms a given dict ``bundle`` into tuples of ``(key_path, value)``.
:param bundle: a dict to traverse
:param separator: build paths with a given separator
:return: a gen... | Traverses and transforms a given dict ``bundle`` into tuples of ``(key_path, value)``.
:param bundle: a dict to traverse
:param separator: build paths with a given separator
:return: a generator of tuples ``(materialized_path, value)``
Example:
>>> list(_materialize_dict({'test': {'path': 1}, 'key... | entailment |
def materialize_dict(bundle: dict, separator: str = '.') -> t.List[t.Tuple[str, t.Any]]:
"""
Transforms a given ``bundle`` into a *sorted* list of tuples with materialized value paths and values:
``('path.to.value', <value>)``. Output is ordered by depth: the deepest element first.
:param bundle: a dic... | Transforms a given ``bundle`` into a *sorted* list of tuples with materialized value paths and values:
``('path.to.value', <value>)``. Output is ordered by depth: the deepest element first.
:param bundle: a dict to materialize
:param separator: build paths with a given separator
:return: a depth descen... | entailment |
def mp_serialize_dict(
bundle: dict,
separator: str = '.',
serialize: t.Optional[t.Callable] = dump_yaml,
value_prefix: str = '::YAML::\n') -> t.List[t.Tuple[str, bytes]]:
"""
Transforms a given ``bundle`` into a *sorted* list of tuples with materialized value paths and values:
... | Transforms a given ``bundle`` into a *sorted* list of tuples with materialized value paths and values:
``('path.to.value', b'<some>')``. If the ``<some>`` value is not an instance of a basic type, it's serialized
with ``serialize`` callback. If this value is an empty string, it's serialized anyway to enforce co... | entailment |
def wf(raw_str: str,
flush: bool = True,
prevent_completion_polluting: bool = True,
stream: t.TextIO = sys.stdout):
"""
Writes a given ``raw_str`` into a ``stream``. Ignores output if ``prevent_completion_polluting`` is set and there's
no extra ``sys.argv`` arguments present (a bash com... | Writes a given ``raw_str`` into a ``stream``. Ignores output if ``prevent_completion_polluting`` is set and there's
no extra ``sys.argv`` arguments present (a bash completion issue).
:param raw_str: a raw string to print
:param flush: execute ``flush()``
:param prevent_completion_polluting: don't write... | entailment |
def coerce_str_to_bool(val: t.Union[str, int, bool, None], strict: bool = False) -> bool:
"""
Converts a given string ``val`` into a boolean.
:param val: any string representation of boolean
:param strict: raise ``ValueError`` if ``val`` does not look like a boolean-like object
:return: ``True`` if... | Converts a given string ``val`` into a boolean.
:param val: any string representation of boolean
:param strict: raise ``ValueError`` if ``val`` does not look like a boolean-like object
:return: ``True`` if ``val`` is thruthy, ``False`` otherwise.
:raises ValueError: if ``strict`` specified and ``val``... | entailment |
def env_bool_flag(flag_name: str, strict: bool = False, env: t.Optional[t.Dict[str, str]] = None) -> bool:
"""
Converts an environment variable into a boolean. Empty string (presence in env) is treated as ``True``.
:param flag_name: an environment variable name
:param strict: raise ``ValueError`` if a ... | Converts an environment variable into a boolean. Empty string (presence in env) is treated as ``True``.
:param flag_name: an environment variable name
:param strict: raise ``ValueError`` if a ``flag_name`` value connot be coerced into a boolean in obvious way
:param env: a dict with environment variables, ... | entailment |
def run_env_once(f: t.Callable) -> t.Callable:
"""
A decorator to prevent ``manage.py`` from running code twice for everything.
(https://stackoverflow.com/questions/16546652/why-does-django-run-everything-twice)
:param f: function or method to decorate
:return: callable
"""
@wraps(f)
d... | A decorator to prevent ``manage.py`` from running code twice for everything.
(https://stackoverflow.com/questions/16546652/why-does-django-run-everything-twice)
:param f: function or method to decorate
:return: callable | entailment |
def is_dockerized(flag_name: str = 'DOCKERIZED', strict: bool = False):
"""
Reads env ``DOCKERIZED`` variable as a boolean.
:param flag_name: environment variable name
:param strict: raise a ``ValueError`` if variable does not look like a normal boolean
:return: ``True`` if has truthy ``DOCKERIZED`... | Reads env ``DOCKERIZED`` variable as a boolean.
:param flag_name: environment variable name
:param strict: raise a ``ValueError`` if variable does not look like a normal boolean
:return: ``True`` if has truthy ``DOCKERIZED`` env, ``False`` otherwise | entailment |
def is_production(flag_name: str = 'PRODUCTION', strict: bool = False):
"""
Reads env ``PRODUCTION`` variable as a boolean.
:param flag_name: environment variable name
:param strict: raise a ``ValueError`` if variable does not look like a normal boolean
:return: ``True`` if has truthy ``PRODUCTION`... | Reads env ``PRODUCTION`` variable as a boolean.
:param flag_name: environment variable name
:param strict: raise a ``ValueError`` if variable does not look like a normal boolean
:return: ``True`` if has truthy ``PRODUCTION`` env, ``False`` otherwise | entailment |
def load_geuvadis_data():
"""This function loads downsampled data files from the Geuvadis study (Lappalainen, T. et al. Transcriptome and genome sequencing uncovers functional variation in humans. Nature 501, 506-511 (2013)), including expression levels of 10 miRNAs and 3000 genes for 360 European individuals. Among t... | This function loads downsampled data files from the Geuvadis study (Lappalainen, T. et al. Transcriptome and genome sequencing uncovers functional variation in humans. Nature 501, 506-511 (2013)), including expression levels of 10 miRNAs and 3000 genes for 360 European individuals. Among them, all miRNAs and 1000 genes... | entailment |
def runcode(code):
"""Run the given code line by line with printing, as list of lines, and return variable 'ans'."""
for line in code:
print('# '+line)
exec(line,globals())
print('# return ans')
return ans | Run the given code line by line with printing, as list of lines, and return variable 'ans'. | entailment |
def signal(*args, **kwargs):
from .core import Signal
"""A signal decorator designed to work both in the simpler way, like:
.. code:: python
@signal
def validation_function(arg1, ...):
'''Some doc'''
and also as a double-called decorator, like
.. code:: python
@signa... | A signal decorator designed to work both in the simpler way, like:
.. code:: python
@signal
def validation_function(arg1, ...):
'''Some doc'''
and also as a double-called decorator, like
.. code:: python
@signal(SignalOptions.EXEC_CONCURRENT)
def validation_function(ar... | entailment |
def exec_all_endpoints(self, *args, **kwargs):
"""Execute each passed endpoint and collect the results. If a result
is anoter `MultipleResults` it will extend the results with those
contained therein. If the result is `NoResult`, skip the addition."""
results = []
for handler in ... | Execute each passed endpoint and collect the results. If a result
is anoter `MultipleResults` it will extend the results with those
contained therein. If the result is `NoResult`, skip the addition. | entailment |
def run(self, *args, **kwargs):
"""Call all the registered handlers with the arguments passed.
If this signal is a class member, call also the handlers registered
at class-definition time. If an external publish function is
supplied, call it with the provided arguments.
:returns... | Call all the registered handlers with the arguments passed.
If this signal is a class member, call also the handlers registered
at class-definition time. If an external publish function is
supplied, call it with the provided arguments.
:returns: an instance of `~.utils.MultipleResults` | entailment |
def login_defs():
"""Discover the minimum and maximum UID number."""
uid_min = None
uid_max = None
login_defs_path = '/etc/login.defs'
if os.path.exists(login_defs_path):
with io.open(text_type(login_defs_path), encoding=text_type('utf-8')) as log_defs_file:
login_data = log_defs... | Discover the minimum and maximum UID number. | entailment |
def collect_static() -> bool:
"""
Runs Django ``collectstatic`` command in silent mode.
:return: always ``True``
"""
from django.core.management import execute_from_command_line
# from django.conf import settings
# if not os.listdir(settings.STATIC_ROOT):
wf('Collecting static files... ... | Runs Django ``collectstatic`` command in silent mode.
:return: always ``True`` | entailment |
def inner_parser(self) -> BaseParser:
"""
Prepares inner config parser for config stored at ``endpoint``.
:return: an instance of :class:`~django_docker_helpers.config.backends.base.BaseParser`
:raises config.exceptions.KVStorageValueIsEmpty: if specified ``endpoint`` does not contain ... | Prepares inner config parser for config stored at ``endpoint``.
:return: an instance of :class:`~django_docker_helpers.config.backends.base.BaseParser`
:raises config.exceptions.KVStorageValueIsEmpty: if specified ``endpoint`` does not contain a config | entailment |
def generate_add_user_command(proposed_user=None, manage_home=None):
"""Generate command to add a user.
args:
proposed_user (User): User
manage_home: bool
returns:
list: The command string split into shell-like syntax
"""
command = None
if get_platform() in ('Linux', 'O... | Generate command to add a user.
args:
proposed_user (User): User
manage_home: bool
returns:
list: The command string split into shell-like syntax | entailment |
def generate_modify_user_command(task=None, manage_home=None):
"""Generate command to modify existing user to become the proposed user.
args:
task (dict): A proposed user and the differences between it and the existing user
returns:
list: The command string split into shell-like syntax
... | Generate command to modify existing user to become the proposed user.
args:
task (dict): A proposed user and the differences between it and the existing user
returns:
list: The command string split into shell-like syntax | entailment |
def generate_delete_user_command(username=None, manage_home=None):
"""Generate command to delete a user.
args:
username (str): user name
manage_home (bool): manage home directory
returns:
list: The user delete command string split into shell-like syntax
"""
command = None
... | Generate command to delete a user.
args:
username (str): user name
manage_home (bool): manage home directory
returns:
list: The user delete command string split into shell-like syntax | entailment |
def compare_user(passed_user=None, user_list=None):
"""Check if supplied User instance exists in supplied Users list and, if so, return the differences.
args:
passed_user (User): the user instance to check for differences
user_list (Users): the Users instance containing a list of Users instance... | Check if supplied User instance exists in supplied Users list and, if so, return the differences.
args:
passed_user (User): the user instance to check for differences
user_list (Users): the Users instance containing a list of Users instances
returns:
dict: Details of the matching user ... | entailment |
def gecos(self):
"""Force double quoted gecos.
returns:
str: The double quoted gecos.
"""
if not self._gecos:
return None
if self._gecos.startswith(text_type('\'')) and self._gecos.endswith(text_type('\'')):
self._gecos = '\"{0}\"'.format(self... | Force double quoted gecos.
returns:
str: The double quoted gecos. | entailment |
def to_dict(self):
""" Return the user as a dict. """
public_keys = [public_key.b64encoded for public_key in self.public_keys]
return dict(name=self.name, passwd=self.passwd, uid=self.uid, gid=self.gid, gecos=self.gecos,
home_dir=self.home_dir, shell=self.shell, public_keys=p... | Return the user as a dict. | entailment |
def insert(self, index, value):
"""Insert an instance of User into the collection."""
self.check(value)
self._user_list.insert(index, value) | Insert an instance of User into the collection. | entailment |
def remove(self, username=None):
"""Remove User instance based on supplied user name."""
self._user_list = [user for user in self._user_list if user.name != username] | Remove User instance based on supplied user name. | entailment |
def describe_users(self, users_filter=None):
"""Return a list of users matching a filter (if provided)."""
user_list = Users(oktypes=User)
for user in self._user_list:
if users_filter and (users_filter.get('name') == user.name or users_filter.get('uid') == user.uid):
... | Return a list of users matching a filter (if provided). | entailment |
def from_yaml(cls, file_path=None):
"""Create collection from a YAML file."""
try:
import yaml
except ImportError: # pragma: no cover
yaml = None
if not yaml:
import sys
sys.exit('PyYAML is not installed, but is required in order to parse ... | Create collection from a YAML file. | entailment |
def from_json(cls, file_path=None):
"""Create collection from a JSON file."""
with io.open(file_path, encoding=text_type('utf-8')) as stream:
try:
users_json = json.load(stream)
except ValueError:
raise ValueError('No JSON object could be decoded')... | Create collection from a JSON file. | entailment |
def from_passwd(uid_min=None, uid_max=None):
"""Create collection from locally discovered data, e.g. /etc/passwd."""
import pwd
users = Users(oktypes=User)
passwd_list = pwd.getpwall()
if not uid_min:
uid_min = UID_MIN
if not uid_max:
uid_max = UID... | Create collection from locally discovered data, e.g. /etc/passwd. | entailment |
def construct_user_list(raw_users=None):
"""Construct a list of User objects from a list of dicts."""
users = Users(oktypes=User)
for user_dict in raw_users:
public_keys = None
if user_dict.get('public_keys'):
public_keys = [PublicKey(b64encoded=x, raw=Non... | Construct a list of User objects from a list of dicts. | entailment |
def to_dict(self):
""" Return a dict of the users. """
users = dict(users=list())
for user in self:
users['users'].append(user.to_dict())
return users | Return a dict of the users. | entailment |
def export(self, file_path=None, export_format=None):
""" Write the users to a file. """
with io.open(file_path, mode='w', encoding="utf-8") as export_file:
if export_format == 'yaml':
import yaml
yaml.safe_dump(self.to_dict(), export_file, default_flow_style=... | Write the users to a file. | entailment |
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