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def classifer_metrics(label, pred): """ computes f1, precision and recall on the entity class """ prediction = np.argmax(pred, axis=1) label = label.astype(int) pred_is_entity = prediction != not_entity_index label_is_entity = label != not_entity_index corr_pred = (prediction == label)...
computes f1, precision and recall on the entity class
def GetParentFileEntry(self): """Retrieves the parent file entry. Returns: CPIOFileEntry: parent file entry or None if not available. """ location = getattr(self.path_spec, 'location', None) if location is None: return None parent_location = self._file_system.DirnamePath(location) ...
Retrieves the parent file entry. Returns: CPIOFileEntry: parent file entry or None if not available.
def _make_serverproxy_handler(name, command, environment, timeout, absolute_url, port): """ Create a SuperviseAndProxyHandler subclass with given parameters """ # FIXME: Set 'name' properly class _Proxy(SuperviseAndProxyHandler): def __init__(self, *args, **kwargs): super().__ini...
Create a SuperviseAndProxyHandler subclass with given parameters
def add_arguments(cls, parser): """Add arguments to the parser for collection in app.args. Args: parser: `argparse.ArgumentParser`. Parser. Arguments added here are server on self.args. """ parser.add_argument( '-c...
Add arguments to the parser for collection in app.args. Args: parser: `argparse.ArgumentParser`. Parser. Arguments added here are server on self.args.
def findFilesWithPattern( self, fileName, searchPattern, fillFindData, dokanFileInfo ): """Find files in a certain path that match the search pattern. :param fileName: path to search :type fileName: ctypes.c_wchar_p :param searchPattern: pattern to search for :type s...
Find files in a certain path that match the search pattern. :param fileName: path to search :type fileName: ctypes.c_wchar_p :param searchPattern: pattern to search for :type searchPattern: ctypes.c_wchar_p :param fillFindData: function pointer for populating search results ...
def load(filename, format=None, **kwargs): ''' load(filename) yields the data contained in the file referenced by the given filename in a neuropythy or neuropythy-friendly format. load(filename, format) specifies that the given format should be used; this should be the name of the importer (thou...
load(filename) yields the data contained in the file referenced by the given filename in a neuropythy or neuropythy-friendly format. load(filename, format) specifies that the given format should be used; this should be the name of the importer (though a file extension that is recognized also will work)....
def unsubscribe_from_trades(self, pair, **kwargs): """Unsubscribe to the passed pair's trades channel. :param pair: str, Symbol pair to request data for :param kwargs: :return: """ identifier = ('trades', pair) self._unsubscribe('trades', identifier, symbol=pair,...
Unsubscribe to the passed pair's trades channel. :param pair: str, Symbol pair to request data for :param kwargs: :return:
def main(gamepad=None): """Vibrate the gamepad.""" if not gamepad: gamepad = inputs.devices.gamepads[0] # Vibrate left gamepad.set_vibration(1, 0, 1000) time.sleep(2) # Vibrate right gamepad.set_vibration(0, 1, 1000) time.sleep(2) # Vibrate Both gamepad.set_vibration(...
Vibrate the gamepad.
def _get_resources_to_iterate(self, sam_template, macro_resolver): """ Returns a list of resources to iterate, order them based on the following order: 1. AWS::Serverless::Function - because API Events need to modify the corresponding Serverless::Api resource. 2. AWS::Serverless...
Returns a list of resources to iterate, order them based on the following order: 1. AWS::Serverless::Function - because API Events need to modify the corresponding Serverless::Api resource. 2. AWS::Serverless::Api 3. Anything else This is necessary because a Function resour...
def find_stoichiometrically_balanced_cycles(model): u""" Find metabolic reactions in stoichiometrically balanced cycles (SBCs). Identify forward and reverse cycles by closing all exchanges and using FVA. Parameters ---------- model : cobra.Model The metabolic model under investigation....
u""" Find metabolic reactions in stoichiometrically balanced cycles (SBCs). Identify forward and reverse cycles by closing all exchanges and using FVA. Parameters ---------- model : cobra.Model The metabolic model under investigation. Notes ----- "SBCs are artifacts of metabol...
def coerce(value1, value2, default=None): """Exclude NoSet objec .. code-block:: >>> coerce(NoSet, 'value') 'value' """ if value1 is not NoSet: return value1 elif value2 is not NoSet: return value2 else: return default
Exclude NoSet objec .. code-block:: >>> coerce(NoSet, 'value') 'value'
def minimize_algorithm_1dim_golden(function, a, b, c, tolerance=DOUBLE_TOL): ''' Given a function f, and given a bracketing triplet of abscissas ax, bx, cx (such that bx is between ax and cx, and f(bx) is less than both f(ax) and f(cx)), this routine performs a golden section search for the minimum, iso...
Given a function f, and given a bracketing triplet of abscissas ax, bx, cx (such that bx is between ax and cx, and f(bx) is less than both f(ax) and f(cx)), this routine performs a golden section search for the minimum, isolating it to a fractional precision of about tol. The abscissa of the minimum is retu...
def create_cluster( self, parent, cluster_id, cluster, retry=google.api_core.gapic_v1.method.DEFAULT, timeout=google.api_core.gapic_v1.method.DEFAULT, metadata=None, ): """ Creates a cluster within an instance. Example: >>>...
Creates a cluster within an instance. Example: >>> from google.cloud import bigtable_admin_v2 >>> >>> client = bigtable_admin_v2.BigtableInstanceAdminClient() >>> >>> parent = client.instance_path('[PROJECT]', '[INSTANCE]') >>> ...
def repr(self, changed_widgets=None): """Represents the widget as HTML format, packs all the attributes, children and so on. Args: client (App): Client instance. changed_widgets (dict): A dictionary containing a collection of widgets that have to be updated. The ...
Represents the widget as HTML format, packs all the attributes, children and so on. Args: client (App): Client instance. changed_widgets (dict): A dictionary containing a collection of widgets that have to be updated. The Widget that have to be updated is the key, and th...
def _pypsa_load_timeseries(network, timesteps, mode=None): """ Time series in PyPSA compatible format for load instances Parameters ---------- network : Network The eDisGo grid topology model overall container timesteps : array_like Timesteps is an array-like object with entries...
Time series in PyPSA compatible format for load instances Parameters ---------- network : Network The eDisGo grid topology model overall container timesteps : array_like Timesteps is an array-like object with entries of type :pandas:`pandas.Timestamp<timestamp>` specifying which...
def _as_document(self, dataset): """ Converts dataset to document indexed by to FTS index. Args: dataset (orm.Dataset): dataset to convert. Returns: dict with structure matches to BaseDatasetIndex._schema. """ assert isinstance(dataset, Dataset) ...
Converts dataset to document indexed by to FTS index. Args: dataset (orm.Dataset): dataset to convert. Returns: dict with structure matches to BaseDatasetIndex._schema.
def _JMS_to_Bern_I(C, qq): """From JMS to BernI basis (= traditional SUSY basis in this case) for $\Delta F=2$ operators. `qq` should be 'sb', 'db', 'ds' or 'cu'""" if qq in ['sb', 'db', 'ds']: dd = 'dd' ij = tuple(dflav[q] for q in qq) elif qq == 'cu': dd = 'uu' ij =...
From JMS to BernI basis (= traditional SUSY basis in this case) for $\Delta F=2$ operators. `qq` should be 'sb', 'db', 'ds' or 'cu
def import_item(name): """Import and return bar given the string foo.bar.""" package = '.'.join(name.split('.')[0:-1]) obj = name.split('.')[-1] # Note: the original code for this was the following. We've left it # visible for now in case the new implementation shows any problems down # th...
Import and return bar given the string foo.bar.
def _create_vm(self, vm_config): """ Attempt to create or update VM instance based on vm_parameters config. """ try: vm_setup = self.compute.virtual_machines.create_or_update( self.running_instance_id, self.running_instance_id, vm_config ...
Attempt to create or update VM instance based on vm_parameters config.
def get_savepath(self, url, savepath=None): """ Evaluates the savepath with the help of the given url. :param str url: url to evaluate the savepath with :return str: the evaluated savepath for the given url """ timestamp = int(time.time()) if not savepath: ...
Evaluates the savepath with the help of the given url. :param str url: url to evaluate the savepath with :return str: the evaluated savepath for the given url
def p_preprocessor_line_line_file(p): """ preproc_line : _LINE INTEGER STRING """ p.lexer.lineno = int(p[2]) + p.lexer.lineno - p.lineno(3) - 1 gl.FILENAME = p[3]
preproc_line : _LINE INTEGER STRING
def build(self, tag, add_latest_tag=False, add_tags=None, raise_on_error=True, **kwargs): """ Overrides the superclass `build()` and filters the output. Messages are deferred to `push_log`, whereas the final message is checked for a success message. If the latter is found, only the new image id ...
Overrides the superclass `build()` and filters the output. Messages are deferred to `push_log`, whereas the final message is checked for a success message. If the latter is found, only the new image id is returned. :param tag: Tag of the new image to be built. Unlike in the superclass, this is obligato...
def bs(s: int) -> str: """Converts an int to its bits representation as a string of 0's and 1's. """ return str(s) if s <= 1 else bs(s >> 1) + str(s & 1)
Converts an int to its bits representation as a string of 0's and 1's.
def _add_consequences(self, variant_obj): """Add the consequences found in all transcripts Args: variant_obj (puzzle.models.Variant) """ consequences = set() for transcript in variant_obj.transcripts: for consequence in transcript.consequence.split('&'):...
Add the consequences found in all transcripts Args: variant_obj (puzzle.models.Variant)
def write_slide_list(self, logname, slides): """ Write list of slides to logfile """ # Write slides.txt with list of slides with open('%s/%s' % (self.cache, logname), 'w') as logfile: for slide in slides: heading = slide['heading']['text'] filename = s...
Write list of slides to logfile
def prop_to_size(vals, mi=0.0, ma=5.0, power=0.5, log=False): """ Converts an array of property values (e.g. a metric or score) to values that are more useful for marker sizes, line widths, or other visual sizes. The new sizes are computed as: y = mi + (ma -mi)(\frac{x_i - min(x){max(x) - min(x...
Converts an array of property values (e.g. a metric or score) to values that are more useful for marker sizes, line widths, or other visual sizes. The new sizes are computed as: y = mi + (ma -mi)(\frac{x_i - min(x){max(x) - min(x)})^{power} If ``log=True``, the natural logarithm of the property va...
def disassociate_environment_option_pool(self, environment_option_id): """Remove a relationship of optionpool with Environment. :param id_option_pool: Identifier of the Option Pool. Integer value and greater than zero. :param id_environment: Identifier of the Environment Pool. Integer value and...
Remove a relationship of optionpool with Environment. :param id_option_pool: Identifier of the Option Pool. Integer value and greater than zero. :param id_environment: Identifier of the Environment Pool. Integer value and greater than zero. :return: { 'id': < environment_option_id> } ...
def total_stored(self, wanted, slots=None): """ Calculates the total number of items of that type in the current window or given slot range. Args: wanted: function(Slot) or Slot or itemID or (itemID, metadata) """ if slots is None: slots = self.wi...
Calculates the total number of items of that type in the current window or given slot range. Args: wanted: function(Slot) or Slot or itemID or (itemID, metadata)
def draw_box(self, box): """Draw a white box on the image. Parameters ---------- :obj:`autolab_core.Box` A 2D box to draw in the image. Returns ------- :obj:`ColorImage` A new image that is the same as the current one, but with ...
Draw a white box on the image. Parameters ---------- :obj:`autolab_core.Box` A 2D box to draw in the image. Returns ------- :obj:`ColorImage` A new image that is the same as the current one, but with the white box drawn in.
def kip_cont(self, ifig=110, modstart=0, modstop=-1,t0_model=0, outfile='out.png', xlims=None, ylims=None, xres=1000, yres=1000, ixaxis='model_number', mix_zones=20, burn_zones=20, plot_radius=False, engenPlus=True, engenMinus=False, l...
This function creates a Kippenhahn plot with energy flux using contours. This plot uses mixing_regions and burning_regions written to your history.data or star.log. Set both variables in the log_columns.list file to 20 as a start. The output log file should then contain columns...
def reply_audio( self, audio: str, quote: bool = None, caption: str = "", parse_mode: str = "", duration: int = 0, performer: str = None, title: str = None, thumb: str = None, disable_notification: bool = None, reply_to_message_id: ...
Bound method *reply_audio* of :obj:`Message <pyrogram.Message>`. Use as a shortcut for: .. code-block:: python client.send_audio( chat_id=message.chat.id, audio=audio ) Example: .. code-block:: python messag...
def fetch_sel(self, ipmicmd, clear=False): """Fetch SEL entries Return an iterable of SEL entries. If clearing is requested, the fetch and clear will be done as an atomic operation, assuring no entries are dropped. :param ipmicmd: The Command object to use to interrogate :param clear:...
Fetch SEL entries Return an iterable of SEL entries. If clearing is requested, the fetch and clear will be done as an atomic operation, assuring no entries are dropped. :param ipmicmd: The Command object to use to interrogate :param clear: Whether to clear the entries upon retrieval.
def watchlist_movies(self, **kwargs): """ Get the list of movies on an account watchlist. Args: page: (optional) Minimum 1, maximum 1000. sort_by: (optional) 'created_at.asc' | 'created_at.desc' language: (optional) ISO 639-1 code. Returns: ...
Get the list of movies on an account watchlist. Args: page: (optional) Minimum 1, maximum 1000. sort_by: (optional) 'created_at.asc' | 'created_at.desc' language: (optional) ISO 639-1 code. Returns: A dict respresentation of the JSON returned from the AP...
def _fix_set_options(cls, options): """Alter the set options from None/strings to sets in place.""" optional_set_options = ('ignore', 'select') mandatory_set_options = ('add_ignore', 'add_select') def _get_set(value_str): """Split `value_str` by the delimiter `,` and return ...
Alter the set options from None/strings to sets in place.
def _get_api_sig(args): """Flickr API need a hash string which made using post arguments :param args: Arguments of the flickr request :type args: list of sets :return: api_sig, ex: ('api_sig', 'abcdefg') :rtype: tuple """ tmp_sig = api_secret for i in args: tmp_sig = tmp_sig + i...
Flickr API need a hash string which made using post arguments :param args: Arguments of the flickr request :type args: list of sets :return: api_sig, ex: ('api_sig', 'abcdefg') :rtype: tuple
def render_particles(self): """ Render visible particles at each strip position, by modifying the strip's color list. """ for strip_pos in range(self._start, self._end + 1): blended = COLORS.black # Render visible emitters if self.has_e_color...
Render visible particles at each strip position, by modifying the strip's color list.
def populate_with_defaults(): '''Create user admin and grant him all permission If the admin user already exists the function will simply return ''' logging.getLogger(__name__).debug("Populating with default users") if not User.select().where(User.name == 'admin').exists(): admin = User.cre...
Create user admin and grant him all permission If the admin user already exists the function will simply return
async def _base_request(self, url, content_type, response_type, data): """Send a generic authenticated POST request. Args: url (str): URL of request. content_type (str): Request content type. response_type (str): The desired response format. Valid options ...
Send a generic authenticated POST request. Args: url (str): URL of request. content_type (str): Request content type. response_type (str): The desired response format. Valid options are: 'json' (JSON), 'protojson' (pblite), and 'proto' (binary ...
def _set_igmpPIM(self, v, load=False): """ Setter method for igmpPIM, mapped from YANG variable /interface_vlan/vlan/ip/igmpPIM (container) If this variable is read-only (config: false) in the source YANG file, then _set_igmpPIM is considered as a private method. Backends looking to populate this va...
Setter method for igmpPIM, mapped from YANG variable /interface_vlan/vlan/ip/igmpPIM (container) If this variable is read-only (config: false) in the source YANG file, then _set_igmpPIM is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_ig...
def from_csv(cls, path, header=0, sep=',', index_col=0, parse_dates=True, encoding=None, tupleize_cols=None, infer_datetime_format=False): """ Read CSV file. .. deprecated:: 0.21.0 Use :func:`read_csv` instead. It is preferable to use the m...
Read CSV file. .. deprecated:: 0.21.0 Use :func:`read_csv` instead. It is preferable to use the more powerful :func:`read_csv` for most general purposes, but ``from_csv`` makes for an easy roundtrip to and from a file (the exact counterpart of ``to_csv``), especiall...
def format_cli(self, value): """ Build a single parameter argument. :return: list of CLI strings -- not escaped. If the parameter should not be expressed, returns None. :rtype: list[str]|None """ if value is None or (self.type == 'flag' and not value): return...
Build a single parameter argument. :return: list of CLI strings -- not escaped. If the parameter should not be expressed, returns None. :rtype: list[str]|None
def import_staging(self, source, staging_start=None, as_qual=False, test_filename=None, test_rater=None): """Action: import an external sleep staging file. Parameters ---------- source : str Name of program where staging was exported. One of 'alice', ...
Action: import an external sleep staging file. Parameters ---------- source : str Name of program where staging was exported. One of 'alice', 'compumedics', 'domino', 'remlogic', 'sandman'. staging_start : datetime, optional Absolute time when staging...
def monitor(options={}): """Starts syncing with W&B if you're in Jupyter. Displays your W&B charts live in a Jupyter notebook. It's currently a context manager for legacy reasons. """ try: from IPython.display import display except ImportError: def display(stuff): return None c...
Starts syncing with W&B if you're in Jupyter. Displays your W&B charts live in a Jupyter notebook. It's currently a context manager for legacy reasons.
def check_stripe_api_version(app_configs=None, **kwargs): """Check the user has configured API version correctly.""" from . import settings as djstripe_settings messages = [] default_version = djstripe_settings.DEFAULT_STRIPE_API_VERSION version = djstripe_settings.get_stripe_api_version() if not validate_strip...
Check the user has configured API version correctly.
def started(self, component): """Sets up the application after startup.""" self.log("Running.") self.log("Started event origin: ", component, lvl=verbose) populate_user_events() from hfos.events.system import AuthorizedEvents self.log(len(AuthorizedEvents), "authorized ...
Sets up the application after startup.
def evict(self): """Evict all caches related to these operations.""" logging.debug('Evicting cache for %r', self.cache_key) _clear_version_cache(self.cache_key) # Cause the cache key to be refreshed next time any operation is # run to make sure we don't act on old cached data. ...
Evict all caches related to these operations.
def _get_encoder_method(stream_type): """A function to get the python type to device cloud type converter function. :param stream_type: The streams data type :return: A function that when called with the python object will return the serializable type for sending to the cloud. If there is no function f...
A function to get the python type to device cloud type converter function. :param stream_type: The streams data type :return: A function that when called with the python object will return the serializable type for sending to the cloud. If there is no function for the given type, or the `stream_type` i...
def switch(self, gen_mode:bool=None): "Put the model in generator mode if `gen_mode`, in critic mode otherwise." self.gen_mode = (not self.gen_mode) if gen_mode is None else gen_mode
Put the model in generator mode if `gen_mode`, in critic mode otherwise.
def run_agent(device_type): """Run a simple GPG-agent server.""" p = argparse.ArgumentParser() p.add_argument('--homedir', default=os.environ.get('GNUPGHOME')) p.add_argument('-v', '--verbose', default=0, action='count') p.add_argument('--server', default=False, action='store_true', ...
Run a simple GPG-agent server.
def dot1x_enable(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") dot1x = ET.SubElement(config, "dot1x", xmlns="urn:brocade.com:mgmt:brocade-dot1x") enable = ET.SubElement(dot1x, "enable") callback = kwargs.pop('callback', self._callback) ...
Auto Generated Code
def site_pages(self, site_id, brozzled=None): ''' Args: site_id (str or int): brozzled (bool): if true, results include only pages that have been brozzled at least once; if false, only pages that have not been brozzled; and if None (the default), a...
Args: site_id (str or int): brozzled (bool): if true, results include only pages that have been brozzled at least once; if false, only pages that have not been brozzled; and if None (the default), all pages Returns: iterator of brozzler.Page
def get_c_extension(support_legacy=False, system_zstd=False, name='zstd', warnings_as_errors=False, root=None): """Obtain a distutils.extension.Extension for the C extension. ``support_legacy`` controls whether to compile in legacy zstd format support. ``system_zstd`` controls whether ...
Obtain a distutils.extension.Extension for the C extension. ``support_legacy`` controls whether to compile in legacy zstd format support. ``system_zstd`` controls whether to compile against the system zstd library. For this to work, the system zstd library and headers must match what python-zstandard ...
def from_like_context(ctx, param, value): """Return the value for an option from the context if the option or `--all` is given, else return None.""" if ctx.obj and ctx.obj.get("like") and (value == "like" or ctx.obj.get("all_like")): return ctx.obj["like"][param.name] else: return None
Return the value for an option from the context if the option or `--all` is given, else return None.
def open(self, path: str, mode: str='r') -> IO: """Open an IO-like object for `path`. .. note:: Mode *must* be either 'r' or 'w', as the underlying objects do not understand the full range of modes. :param path: The path to open. :param mode: The mode of the fi...
Open an IO-like object for `path`. .. note:: Mode *must* be either 'r' or 'w', as the underlying objects do not understand the full range of modes. :param path: The path to open. :param mode: The mode of the file being opened, either 'r' or 'w'.
def find(pattern, path='.', exclude=None, recursive=True): """Find files that match *pattern* in *path*""" import fnmatch import os if recursive: for root, dirnames, filenames in os.walk(path): for pat in _to_list(pattern): for filename in fnmatch.filter(filenames, p...
Find files that match *pattern* in *path*
def solidity_resolve_address(hex_code, library_symbol, library_address): """ Change the bytecode to use the given library address. Args: hex_code (bin): The bytecode encoded in hexadecimal. library_name (str): The library that will be resolved. library_address (str): The address of the ...
Change the bytecode to use the given library address. Args: hex_code (bin): The bytecode encoded in hexadecimal. library_name (str): The library that will be resolved. library_address (str): The address of the library. Returns: bin: The bytecode encoded in hexadecimal with the ...
def _prm_extract_missing_flags(data_dict, flags_dict): """Extracts storage flags for data in `data_dict` if they were not specified in `flags_dict`. See :const:`~pypet.storageservice.HDF5StorageService.TYPE_FLAG_MAPPING` for how to store different types of data per default. """...
Extracts storage flags for data in `data_dict` if they were not specified in `flags_dict`. See :const:`~pypet.storageservice.HDF5StorageService.TYPE_FLAG_MAPPING` for how to store different types of data per default.
def new(self, verbose=False): """ Destroys the current session and creates a new, empty one. :param wid: Window ID :param verbose: print more """ response=api(url=self.__url+"/new", verbose=verbose) return response
Destroys the current session and creates a new, empty one. :param wid: Window ID :param verbose: print more
def auth_data(self): ''' Gather and create the authorization data sets We're looking at several constructs here. Standard eauth: allow jsmith to auth via pam, and execute any command on server web1 external_auth: pam: jsmith: - web1: ...
Gather and create the authorization data sets We're looking at several constructs here. Standard eauth: allow jsmith to auth via pam, and execute any command on server web1 external_auth: pam: jsmith: - web1: - .* Django eaut...
def init_widget(self): """ Initialize the underlying widget. """ super(AndroidTimePicker, self).init_widget() d = self.declaration w = self.widget self.set_hour(d.hour) self.set_minute(d.minute) self.set_hour_mode(d.hour_mode) w.setOnTimeChangedL...
Initialize the underlying widget.
def tx(self): """ Return a ``<c:tx>`` oxml element for this series, containing the series name. """ xml = self._tx_tmpl.format(**{ 'wksht_ref': self._series.name_ref, 'series_name': self.name, 'nsdecls': ' %s' % nsdecls('c'), }) ...
Return a ``<c:tx>`` oxml element for this series, containing the series name.
def plot_carpet(img, atlaslabels, detrend=True, nskip=0, size=(950, 800), subplot=None, title=None, output_file=None, legend=False, lut=None, tr=None): """ Plot an image representation of voxel intensities across time also know as the "carpet plot" or "Power plot". See Jonath...
Plot an image representation of voxel intensities across time also know as the "carpet plot" or "Power plot". See Jonathan Power Neuroimage 2017 Jul 1; 154:150-158. Parameters ---------- img : Niimg-like object See http://nilearn.github.io/manipulating_images/input_output.html ...
def enable_servicegroup_host_checks(self, servicegroup): """Enable host checks for a servicegroup Format of the line that triggers function call:: ENABLE_SERVICEGROUP_HOST_CHECKS;<servicegroup_name> :param servicegroup: servicegroup to enable :type servicegroup: alignak.objects...
Enable host checks for a servicegroup Format of the line that triggers function call:: ENABLE_SERVICEGROUP_HOST_CHECKS;<servicegroup_name> :param servicegroup: servicegroup to enable :type servicegroup: alignak.objects.servicegroup.Servicegroup :return: None
def send_command(self, *args, **kwargs): """ If the ASA is in multi-context mode, then the base_prompt needs to be updated after each context change. """ if len(args) >= 1: command_string = args[0] else: command_string = kwargs["command_string"] ...
If the ASA is in multi-context mode, then the base_prompt needs to be updated after each context change.
def block_layer(inputs, filters, block_fn, blocks, strides, is_training, name, data_format="channels_first", use_td=False, targeting_rate=None, keep_prob=None):...
Creates one layer of blocks for the ResNet model. Args: inputs: `Tensor` of size `[batch, channels, height, width]`. filters: `int` number of filters for the first convolution of the layer. block_fn: `function` for the block to use within the model blocks: `int` number of blocks contained in the laye...
def merge_images(images, axis='t'): """ Concatenate `images` in the direction determined in `axis`. Parameters ---------- images: list of str or img-like object. See NeuroImage constructor docstring. axis: str 't' : concatenate images in time 'x' : concatenate images in the x d...
Concatenate `images` in the direction determined in `axis`. Parameters ---------- images: list of str or img-like object. See NeuroImage constructor docstring. axis: str 't' : concatenate images in time 'x' : concatenate images in the x direction 'y' : concatenate images in t...
def intervals_union(S): """Union of intervals :param S: list of pairs (low, high) defining intervals [low, high) :returns: ordered list of disjoint intervals with the same union as S :complexity: O(n log n) """ E = [(low, -1) for (low, high) in S] E += [(high, +1) for (low, high) in S] ...
Union of intervals :param S: list of pairs (low, high) defining intervals [low, high) :returns: ordered list of disjoint intervals with the same union as S :complexity: O(n log n)
def _entropy(labels): """Calculates the entropy for a labeling. Parameters ---------- labels : list-like List of labels. Returns ------- entropy : float Entropy of the labeling. .. note:: Based on sklearn.metrics.cluster.entropy """ if len(labels) == 0: ...
Calculates the entropy for a labeling. Parameters ---------- labels : list-like List of labels. Returns ------- entropy : float Entropy of the labeling. .. note:: Based on sklearn.metrics.cluster.entropy
def build_query(self): ''' Using the three graphs derived from self._diff_graph(), build a sparql update query in the format: PREFIX foo: <http://foo.com> PREFIX bar: <http://bar.com> DELETE {...} INSERT {...} WHERE {...} Args: None: uses variables from self Returns: (str) sparql update que...
Using the three graphs derived from self._diff_graph(), build a sparql update query in the format: PREFIX foo: <http://foo.com> PREFIX bar: <http://bar.com> DELETE {...} INSERT {...} WHERE {...} Args: None: uses variables from self Returns: (str) sparql update query as string
def stamp_allowing_unusual_version_table( config: Config, revision: str, sql: bool = False, tag: str = None, version_table: str = DEFAULT_ALEMBIC_VERSION_TABLE) -> None: """ Stamps the Alembic version table with the given revision; don't run any migrations. This ...
Stamps the Alembic version table with the given revision; don't run any migrations. This function is a clone of ``alembic.command.stamp()``, but allowing ``version_table`` to change. See http://alembic.zzzcomputing.com/en/latest/api/commands.html#alembic.command.stamp
def show_raslog_output_show_all_raslog_raslog_entries_message(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") show_raslog = ET.Element("show_raslog") config = show_raslog output = ET.SubElement(show_raslog, "output") show_all_raslog = ET....
Auto Generated Code
def get_query_builder(self, *args, **kwargs): """ Return the query builder class instance that should be used to build the query which is passed to the search engine backend. """ query_builder = self.get_query_builder_class() return query_builder(*args, **kwargs)
Return the query builder class instance that should be used to build the query which is passed to the search engine backend.
def eplotter(task, data): # CRYSTAL, VASP, EXCITING ''' eplotter is like bdplotter but less complicated ''' results, color, fdata = [], None, [] if task == 'optstory': color = '#CC0000' clickable = True for n, i in enumerate(data): fdata.append([n, i[4]]) ...
eplotter is like bdplotter but less complicated
def create_dataset_synchronous(self, file_url, dataset_type='image', token=None, url=API_CREATE_DATASET): """ Creates a dataset so you can train models from it :param file_url: string, url to an accessible zip file containing the necessary image files and folder structure indicating the ...
Creates a dataset so you can train models from it :param file_url: string, url to an accessible zip file containing the necessary image files and folder structure indicating the labels to train. See docs online. :param dataset_type: string, one of the dataset types, available options...
def run(self): """Use directly check() api from pydocstyle.""" if self.exclude_from_doctest: for pattern in self.exclude_from_doctest: if fnmatch.fnmatch(self.filename, pattern): return checked_codes = pep257.conventions.pep257 | {'D998', 'D999'} for error in self._check_source(...
Use directly check() api from pydocstyle.
def plot_cand(candsfile, candloc=[], candnum=-1, threshold=0, savefile=True, returndata=False, outname='', newplot=True, returnstate=False, **kwargs): """ Reproduce detection of a single candidate for plotting or inspection. candsfile can be merge or single-scan cands pkl file. Difference defined by presence o...
Reproduce detection of a single candidate for plotting or inspection. candsfile can be merge or single-scan cands pkl file. Difference defined by presence of scan in d['featureind']. candloc reproduces candidate at given location (scan, segment, integration, dmind, dtind, beamnum). candnum selects one to r...
def lookup(self, token): """ Return key version if found, None otherwise Lookup should look like this: pattern: <key>,<env>/<service> example: ami-id,staging/core """ # get search key and env/service from token try: key, envservice = token.split(",") except Valu...
Return key version if found, None otherwise Lookup should look like this: pattern: <key>,<env>/<service> example: ami-id,staging/core
def xml_to_bytes(element, pretty_print=False): """Wrapper for etree.tostring, that takes care of unsupported pretty_print option and prepends an encoding header.""" if use_lxml: xml = etree.tostring( element, encoding="UTF-8", xml_declaration=True, pretty_print=pretty_print ) ...
Wrapper for etree.tostring, that takes care of unsupported pretty_print option and prepends an encoding header.
def recatalog_analyses_due_date(portal): """Recatalog the index and metadata field 'getDueDate' """ logger.info("Updating Analyses getDueDate") # No need to update those analyses that are verified or published. Only # those that are under work catalog = api.get_tool(CATALOG_ANALYSIS_LISTING) ...
Recatalog the index and metadata field 'getDueDate'
def _fetch_system_by_machine_id(self): ''' Get a system by machine ID Returns dict system exists in inventory False system does not exist in inventory None error connection or parsing response ''' machine_id = generate_machine_id() ...
Get a system by machine ID Returns dict system exists in inventory False system does not exist in inventory None error connection or parsing response
def set_etag(self, etag, weak=False): """Set the etag, and override the old one if there was one.""" self.headers["ETag"] = quote_etag(etag, weak)
Set the etag, and override the old one if there was one.
def write(self, font, feaFile, compiler=None): """Write features and class definitions for this font to a feaLib FeatureFile object. Returns True if feature file was modified, False if no new features were generated. """ self.setContext(font, feaFile, compiler=compiler) ...
Write features and class definitions for this font to a feaLib FeatureFile object. Returns True if feature file was modified, False if no new features were generated.
def html(self, text=TEXT): """ Generate an HTML file from the report data. """ self.logger.debug("Generating the HTML report{}..." .format(["", " (text only)"][text])) html = [] for piece in self._pieces: if isinstance(piece, string_types): ...
Generate an HTML file from the report data.
def remove_all(self, other): """Remove all of the elems from other. Raises a ValueError if the multiplicity of any elem in other is greater than in self. """ if not self.is_superset(other): raise ValueError('Passed collection is not a subset of this bag') self.discard_all(other)
Remove all of the elems from other. Raises a ValueError if the multiplicity of any elem in other is greater than in self.
def install(name=None, refresh=False, pkgs=None, version=None, test=False, **kwargs): ''' Install the named package using the IPS pkg command. Accepts full or partial FMRI. Returns a dict containing the new package names and versions:: {'<package>': {'old': '<old-version>', ...
Install the named package using the IPS pkg command. Accepts full or partial FMRI. Returns a dict containing the new package names and versions:: {'<package>': {'old': '<old-version>', 'new': '<new-version>'}} Multiple Package Installation Options: pkgs A list...
def update_with_slice(self,flag): ''' update object with a given time slice flag :parameter (boolean array) flag: a flag for indexing data along the ''time'' dimension ''' N=flag.sum() #Get object attributes to update varSize ...
update object with a given time slice flag :parameter (boolean array) flag: a flag for indexing data along the ''time'' dimension
def load_ipython_extension(ip): """Load the extension in IPython.""" global _loaded if not _loaded: plugin = StoreMagic(shell=ip, config=ip.config) ip.plugin_manager.register_plugin('storemagic', plugin) _loaded = True
Load the extension in IPython.
def create(cls, name, value): """ Create a new ssh key.""" sshkey_params = { 'name': name, 'value': value, } result = cls.call('hosting.ssh.create', sshkey_params) return result
Create a new ssh key.
def validate_proof(self, proof, target_hash, merkle_root): """ Takes a proof array, a target hash value, and a merkle root Checks the validity of the proof and return true or false :param proof: :param target_hash: :param merkle_root: :return: """ ...
Takes a proof array, a target hash value, and a merkle root Checks the validity of the proof and return true or false :param proof: :param target_hash: :param merkle_root: :return:
def post_fork(self, payload_handler, io_loop): ''' After forking we need to create all of the local sockets to listen to the router payload_handler: function to call with your payloads ''' self.payload_handler = payload_handler self.io_loop = io_loop self...
After forking we need to create all of the local sockets to listen to the router payload_handler: function to call with your payloads
def filter_vectors(self, input_list): """ Returns subset of specified input list. """ unique_dict = {} for v in input_list: unique_dict[v[1]] = v return list(unique_dict.values())
Returns subset of specified input list.
def delete(self, table, where=None): """Delete existing rows from a table.""" if where: where_key, where_val = where query = "DELETE FROM {0} WHERE {1}='{2}'".format(wrap(table), where_key, where_val) else: query = 'DELETE FROM {0}'.format(wrap(table)) ...
Delete existing rows from a table.
def create_namespaced_daemon_set(self, namespace, body, **kwargs): """ create a DaemonSet This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_namespaced_daemon_set(namespace, body, async...
create a DaemonSet This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_namespaced_daemon_set(namespace, body, async_req=True) >>> result = thread.get() :param async_req bool :pa...
def write(self, pin, value): """ Set the pin state. Make sure you put the pin in output mode first. :param pin: The label for the pin to write to. (Ex. A0) :param value: Boolean representing the new state """ port, pin = self.pin_to_port(pin) portname = 'A' ...
Set the pin state. Make sure you put the pin in output mode first. :param pin: The label for the pin to write to. (Ex. A0) :param value: Boolean representing the new state
def namespace_present(name, **kwargs): ''' Ensures that the named namespace is present. name The name of the namespace. ''' ret = {'name': name, 'changes': {}, 'result': False, 'comment': ''} namespace = __salt__['kubernetes.show_namespace'](name, **kw...
Ensures that the named namespace is present. name The name of the namespace.
def WaitUntilComplete(self,poll_freq=2,timeout=None): """Poll until all request objects have completed. If status is 'notStarted' or 'executing' continue polling. If status is 'succeeded' then success Else log as error poll_freq option is in seconds Returns an Int the number of unsuccessful requests. Th...
Poll until all request objects have completed. If status is 'notStarted' or 'executing' continue polling. If status is 'succeeded' then success Else log as error poll_freq option is in seconds Returns an Int the number of unsuccessful requests. This behavior is subject to change. >>> clc.v2.Server(alia...
def _value_format(self, value, serie): """ Format value for dual value display. """ if self.box_mode == "extremes": return ( 'Min: %s\nQ1 : %s\nQ2 : %s\nQ3 : %s\nMax: %s' % tuple(map(self._y_format, serie.points[1:6])) ) eli...
Format value for dual value display.
def find_helping_materials(project_id, **kwargs): """Return a list of matched helping materials for a given project ID. :param project_id: PYBOSSA Project ID :type project_id: integer :param kwargs: PYBOSSA HelpingMaterial members :type info: dict :rtype: list :returns: A list of helping ma...
Return a list of matched helping materials for a given project ID. :param project_id: PYBOSSA Project ID :type project_id: integer :param kwargs: PYBOSSA HelpingMaterial members :type info: dict :rtype: list :returns: A list of helping materials that match the kwargs
def build_job_configs(self, args): """Hook to build job configurations """ job_configs = {} components = Component.build_from_yamlfile(args['comp']) datafile = args['data'] if datafile is None or datafile == 'None': return job_configs NAME_FACTORY.upd...
Hook to build job configurations
def detect(byte_string): """ Detect if a byte string seems to contain a PEM-encoded block :param byte_string: A byte string to look through :return: A boolean, indicating if a PEM-encoded block is contained in the byte string """ if not isinstance(byte_string, byte_cls...
Detect if a byte string seems to contain a PEM-encoded block :param byte_string: A byte string to look through :return: A boolean, indicating if a PEM-encoded block is contained in the byte string