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def find_session(self, session_name): if not isinstance(session_name, basestring): raise TypeError("session_name can only be an instance of type basestring") sessions = self._call("findSession", in_p=[session_name]) sessions = [IGuestSession(a) for a in ...
Finds guest sessions by their friendly name and returns an interface array with all found guest sessions. in session_name of type str The session's friendly name to find. Wildcards like ? and * are allowed. return sessions of type :class:`IGuestSession` Array with all g...
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def _convert_old_schema(self, parameters): merged = [] for parameter in parameters: segments = parameter.name.split() _merge_associative_list(merged, segments, par...
Convert an ugly old schema, using dotted names, to the hot new schema, using List and Structure. The old schema assumes that every other dot implies an array. So a list of two parameters, [Integer("foo.bar.baz.quux"), Integer("foo.bar.shimmy")] becomes:: [List...
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def canonical_new_peer_list( self, peers_to_add ): new_peers = list(set(self.new_peers + peers_to_add)) random.shuffle( new_peers ) tmp = [] for peer in new_peers: tmp.append( self.canonical_peer(peer) ) new_peers = tmp if...
Make a list of canonical new peers, using the self.new_peers and the given peers to add Return a shuffled list of canonicalized host:port strings.
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def to_unix_ts(start_time): if isinstance(start_time, datetime): if is_timezone_aware(start_time): start_time = start_time.astimezone(pytz.utc) else: log.warning( "Non timezone-aware datetime object passed to IncrementalEndpoint. " "The Ze...
Given a datetime object, returns its value as a unix timestamp
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def get_target(self): with open( % self.path) as f: for line in f.readlines(): matches = re.findall(r, line) if len(matches) == 0: continue return matches[0].replace(, ) return % (config.sdk_version)
Reads the android target based on project.properties file. Returns A string containing the project target (android-23 being the default if none is found)
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def event_later(self, delay, data_tuple): return self._base.event_later(delay, self.make_event_data(*data_tuple))
Schedule an event to be emitted after a delay. :param delay: number of seconds :param data_tuple: a 2-tuple (flavor, data) :return: an event object, useful for cancelling.
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def trash_for(self, user): return self.filter( recipient=user, recipient_deleted_at__isnull=False, ) | self.filter( sender=user, sender_deleted_at__isnull=False, )
Returns all messages that were either received or sent by the given user and are marked as deleted.
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def remove_global_exception_handler(handler): for i, cb in enumerate(state.global_exception_handlers): cb = cb() if cb is not None and cb is handler: state.global_exception_handlers.pop(i) log.info("removing a global exception handler") return True return...
remove a callback from the list of global exception handlers :param handler: the callback, previously added via :func:`global_exception_handler`, to remove :type handler: function :returns: bool, whether the handler was found (and therefore removed)
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def emit(_): if not initialized: raise NotInitialized view = { : __version__, : {}, : {}, : {}, : {}, : {}, } for (ty, module, name), metric in six.iteritems(all_metrics): view[ty][ % (module, name)] = metric.view() marshalled_v...
Serialize metrics to the memory mapped buffer.
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def refresh_save_all_action(self): editorstack = self.get_current_editorstack() if editorstack: state = any(finfo.editor.document().isModified() or finfo.newly_created for finfo in editorstack.data) self.save_all_action.setEnabled(state)
Enable 'Save All' if there are files to be saved
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def codons(self, frame): start = frame while start + 3 <= self.size: yield self.sequence[start : start + 3], start start += 3
A generator that yields DNA in one codon blocks "frame" counts for 0. This function yields a tuple (triplet, index) with index relative to the original DNA sequence
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def get_coord_system_name(header): try: ctype = header[].strip().upper() except KeyError: try: ra = header[] try: equinox = float(header[]) if equinox < 1984.0: radecsys = else: ...
Return an appropriate key code for the axes coordinate system by examining the FITS header.
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def get_path_to_repo(self, repo: str) -> Path: return Path(self.base_dir) / "repos" / self.repo_id(repo)
Returns a :class:`Path <pathlib.Path>` to the location where all the branches from this repo are stored. :param repo: Repo URL :return: Path to where branches from this repository are cloned.
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def _infer_unknown_dims(old_shape, shape_spec): numerator_elements = [x if x else 0 for x in old_shape] denominator = 1 unknowns = 0 normalized_shape_spec = [] for s in shape_spec: (old_shape, shape_spec)) if numerator and unknowns: unknown_elements...
Attempts to replace DIM_REST (if present) with a value. Because of `pt.DIM_SAME`, this has more information to compute a shape value than the default reshape's shape function. Args: old_shape: The current shape of the Tensor as a list. shape_spec: A shape spec, see `pt.reshape`. Returns: A list de...
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def syncTree(self, recursive=False, blockSignals=True): tree = self.treeWidget() if not tree: return items = [self] if recursive: items += list(self.children(recursive=True)) if blockSignals and not t...
Syncs the information from this item to the tree.
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def _replace_envvar(s, _): e = s.split(":") if len(e) > 3 or len(e) == 1 or e[0] != "env": raise ValueError() elif len(e) == 2: return os.environ[e[1]] else: return os.environ.get(e[1], e[2])
env:KEY or env:KEY:DEFAULT
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def branches(self): branches = [] if self._taken_branch: branches += [(self._taken_branch, )] if self._not_taken_branch: branches += [(self._not_taken_branch, )] if self._direct_branch: branches += [(self._direct_branch, )] return ...
Get basic block branches.
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def extend_to_data(self, data, **kwargs): kernel = self.build_kernel_to_data(data, **kwargs) if sparse.issparse(kernel): pnm = sparse.hstack( [sparse.csr_matrix(kernel[:, self.clusters == i].sum( axis=1)) for i in np.unique(self.clusters)]) ...
Build transition matrix from new data to the graph Creates a transition matrix such that `Y` can be approximated by a linear combination of landmarks. Any transformation of the landmarks can be trivially applied to `Y` by performing `transform_Y = transitions.dot(transform)` ...
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def wrap_paragraphs(content, hard_breaks=False): paras = filter(None, [para.strip() for para in content.split()]) paras = [build_paragraph(para, hard_breaks) for para in paras] return .join(paras)
Returns *content* with all paragraphs wrapped in `<p>` tags. If *hard_breaks* is set, line breaks are converted to `<br />` tags.
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def compile_dir(dfn, optimize_python=True): if PYTHON is None: return if int(PYTHON_VERSION[0]) >= 3: args = [PYTHON, , , , , dfn] else: args = [PYTHON, , , , dfn] if optimize_python: args.insert(1, ) return_code = subprocess.call(args) if return_...
Compile *.py in directory `dfn` to *.pyo
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def mtf_image_transformer_base_imagenet_mp64(): hparams = mtf_image_transformer_base_imagenet() hparams.mesh_shape = "model:8;batch:4" hparams.layout = "batch:batch;d_ff:model;heads:model" hparams.batch_size = 8 hparams.img_len = 64 hparams.num_decoder_layers = 8 return hparams
Model parallel ImageNet parameters.
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def create_placeholder_access_object(self, instance): related_model = self.related_model def get_related_model_objects(name): return related_model.objects.get( parent_type=ContentType.objects.get_for_model(type(instance)), ...
Created objects with placeholder slots as properties. Each placeholder created for an object will be added to a `PlaceHolderAccess` object as a set property.
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def initialize(config): if in config: client = utils.find_entrypoint(, config[], required=True) else: client = redis.StrictRedis kwargs = {} for cfg_var, type_ in REDIS_CONFIGS.items(): if cfg_var in config: kwa...
Initialize a connection to the Redis database.
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def sheets(self): data = Dict() for src in [src for src in self.zipfile.namelist() if in src]: name = os.path.splitext(os.path.basename(src))[0] xml = self.xml(src) data[name] = xml return data
return the sheets of data.
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def main(args,parser,subparser=None): base = args.base if base is None: base = os.environ.get() if base is None: bot.error("You must set a base of experiments with --base" % base) sys.exit(1) if not os.path.exists(base): bot.error("Base folder %s does no...
this is the main entrypoint for a container based web server, with most of the variables coming from the environment. See the Dockerfile template for how this function is executed.
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def get_all(self, sort_order=None, sort_target=): return self.get( key=_encode(b), metadata=True, sort_order=sort_order, sort_target=sort_target, range_end=_encode(b), )
Get all keys currently stored in etcd. :returns: sequence of (value, metadata) tuples
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def PartialDynamicSystem(self, ieq, variable): if ieq == 0: if variable == self.physical_nodes[0].variable: return [WeightedSum([self.physical_nodes[1].variable, self.voltage_signal], variable, [1, -1])] elif variabl...
returns dynamical system blocks associated to output variable
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def get_path_for_termid(self,termid): terminal_id = self.terminal_for_term.get(termid) paths = self.paths_for_terminal[terminal_id] labels = [self.label_for_nonter[nonter] for nonter in paths[0]] return labels
This function returns the path (in terms of phrase types) from one term the root @type termid: string @param termid: one term id @rtype: list @return: the path, list of phrase types
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def find_path(network, pore_pairs, weights=None): r Ps = sp.array(pore_pairs, ndmin=2) if weights is None: weights = sp.ones_like(network.Ts) graph = network.create_adjacency_matrix(weights=weights, fmt=, drop_zeros=False) paths = csgraph.dijkstra(...
r""" Find the shortest path between pairs of pores. Parameters ---------- network : OpenPNM Network Object The Network object on which the search should be performed pore_pairs : array_like An N x 2 array containing N pairs of pores for which the shortest path is sought. ...
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def blob_services(self): api_version = self._get_api_version() if api_version == : from .v2018_07_01.operations import BlobServicesOperations as OperationClass else: raise NotImplementedError("APIVersion {} is not available".format(api_version)) return Op...
Instance depends on the API version: * 2018-07-01: :class:`BlobServicesOperations<azure.mgmt.storage.v2018_07_01.operations.BlobServicesOperations>`
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def configure_interface(self, name, commands): commands = make_iterable(commands) commands.insert(0, % name) return self.configure(commands)
Configures the specified interface with the commands Args: name (str): The interface name to configure commands: The commands to configure in the interface Returns: True if the commands completed successfully
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def _init_sbc_config(self, config): if (config.channel_mode == SBCChannelMode.CHANNEL_MODE_MONO): self.config.mode = self.codec.SBC_MODE_MONO elif (config.channel_mode == SBCChannelMode.CHANNEL_MODE_STEREO): self.config.mode = self.codec.SBC_MODE_STEREO elif (con...
Translator from namedtuple config representation to the sbc_t type. :param namedtuple config: See :py:class:`.SBCCodecConfig` :returns:
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def last_or_default(self, default, predicate=None): if self.closed(): raise ValueError("Attempt to call last_or_default() on a " "closed Queryable.") return self._last_or_default(default) if predicate is None else self._last_or_default_predicate(default...
The last element (optionally satisfying a predicate) or a default. If the predicate is omitted or is None this query returns the last element in the sequence; otherwise, it returns the last element in the sequence for which the predicate evaluates to True. If there is no such element th...
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def lein(word, max_length=4, zero_pad=True): return Lein().encode(word, max_length, zero_pad)
Return the Lein code for a word. This is a wrapper for :py:meth:`Lein.encode`. Parameters ---------- word : str The word to transform max_length : int The length of the code returned (defaults to 4) zero_pad : bool Pad the end of the return value with 0s to achieve a ma...
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def image_alias_delete(image, alias, remote_addr=None, cert=None, key=None, verify_cert=True): * image = _verify_image(image, remote_addr, cert, key, verify_cert) try: image.delete_ali...
Delete an alias (this is currently not restricted to the image) image : An image alias, a fingerprint or a image object alias : The alias to delete remote_addr : An URL to a remote Server, you also have to give cert and key if you provide remote...
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def move_entry(self, entry = None, group = None): if entry is None or group is None or type(entry) is not v1Entry or \ type(group) is not v1Group: raise KPError("Need an entry and a group.") elif entry not in self.entries: raise KPError("No entry found.") ...
Move an entry to another group. A v1Group group and a v1Entry entry are needed.
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def style_node(self, additional_style_attrib=None): style_attrib = {"style:name": self.name, "style:family": self.FAMILY} if additional_style_attrib: style_attrib.update(additional_style_attrib) if self.PARENT_STYLE_DICT: style_attrib.update(self.PARENT_STYLE_DIC...
generate a style node (for automatic-styles) could specify additional attributes such as 'style:parent-style-name' or 'style:list-style-name'
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def TryLink( self, text, extension ): return self.TryBuild(self.env.Program, text, extension )
Compiles the program given in text to an executable env.Program, using extension as file extension (e.g. '.c'). Returns 1, if compilation was successful, 0 otherwise. The target is saved in self.lastTarget (for further processing).
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def simplified(self): if self._simplified is None: self._simplified = SimplifiedChainTransform(self) return self._simplified
A simplified representation of the same transformation.
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def wnfild(small, window): assert isinstance(window, stypes.SpiceCell) assert window.dtype == 1 small = ctypes.c_double(small) libspice.wnfild_c(small, ctypes.byref(window)) return window
Fill small gaps between adjacent intervals of a double precision window. http://naif.jpl.nasa.gov/pub/naif/toolkit_docs/C/cspice/wnfild_c.html :param small: Limiting measure of small gaps. :type small: float :param window: Window to be filled :type window: spiceypy.utils.support_types.SpiceCell ...
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def pad_light(self, values): while len(values) < 4: values.append(0.) return list(map(float, values))
Accept an array of up to 4 values, and return an array of 4 values. If the input array is less than length 4, pad it with zeroes until it is length 4. Also ensure each value is a float
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def vq_loss(x, targets, codebook_size, beta=0.25, decay=0.999, epsilon=1e-5, soft_em=False, num_samples=10, temperature=None, do_update=True): x_shape = common_layers.shape_list(x) target_shape = common_la...
Compute the loss of large vocab tensors using a VQAE codebook. Args: x: Tensor of inputs to be quantized to nearest code targets: Tensor of target indices to target codes codebook_size: Size of quantization codebook beta: scalar float for moving averages decay: scalar float for moving averages ...
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def get_form(self, request, obj=None, **kwargs): parent_id = request.REQUEST.get(, None) if parent_id: return FolderForm else: folder_form = super(FolderAdmin, self).get_form( request, obj=None, **kwargs) def folder_form_clean(form_ob...
Returns a Form class for use in the admin add view. This is used by add_view and change_view.
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def _parse_snapshot_share(response, name): snapshot = response.headers.get() return _parse_share(response, name, snapshot)
Extracts snapshot return header.
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def pprint(sequence_file, annotation=None, annotation_file=None, block_length=10, blocks_per_line=6): annotations = [] if annotation: annotations.append([(first - 1, last) for first, last in annotation]) try: line = next(sequence_file) if line.startswith():...
Pretty-print sequence(s) from a file.
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def detect_language(index_page): dom = dhtmlparser.parseString(index_page) clean_content = dhtmlparser.removeTags(dom) lang = None try: lang = langdetect.detect(clean_content) except UnicodeDecodeError: lang = langdetect.detect(clean_content.decode("utf-8")) return Source...
Detect `languages` using `langdetect` library. Args: index_page (str): HTML content of the page you wish to analyze. Returns: obj: One :class:`.SourceString` object.
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def copy(self, key=None): other = self.__class__( redis=self.redis, key=key, writeback=self.writeback ) other.extend(self) return other
Return a new collection with the same items as this one. If *key* is specified, create the new collection with the given Redis key.
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def list_space_systems(self, page_size=None): params = {} if page_size is not None: params[] = page_size return pagination.Iterator( client=self._client, path=.format(self._instance), params=params, response_class=mdb_pb2.Lis...
Lists the space systems visible to this client. Space systems are returned in lexicographical order. :rtype: :class:`.SpaceSystem` iterator
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def mutate(self, node, index): assert index < len(OFFSETS), assert isinstance(node, parso.python.tree.Number) val = eval(node.value) + OFFSETS[index] return parso.python.tree.Number( + str(val), node.start_pos)
Modify the numeric value on `node`.
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def create_or_update_issue_remote_links(self, issue_key, link_url, title, global_id=None, relationship=None): url = .format(issue_key=issue_key) data = {: {: link_url, : title}} if global_id: data[] = global_id if relationship: data[] = relationship ...
Add Remote Link to Issue, update url if global_id is passed :param issue_key: str :param link_url: str :param title: str :param global_id: str, OPTIONAL: :param relationship: str, OPTIONAL: Default by built-in method: 'Web Link'
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def make_secure_stub(credentials, user_agent, stub_class, host, extra_options=()): channel = make_secure_channel( credentials, user_agent, host, extra_options=extra_options ) return stub_class(channel)
Makes a secure stub for an RPC service. Uses / depends on gRPC. :type credentials: :class:`google.auth.credentials.Credentials` :param credentials: The OAuth2 Credentials to use for creating access tokens. :type user_agent: str :param user_agent: The user agent to be used ...
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def get_shell_history(): if in globals(): a = list(get_ipython().history_manager.input_hist_raw) a.reverse() return a elif in _os.environ: try: p = _os.path.join(_settings.path_user, ".spyder2", "history.py") a = read_lines(p) a.re...
This only works with some shells.
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def tag_secondary_structure(self, force=False): for polymer in self._molecules: if polymer.molecule_type == : polymer.tag_secondary_structure(force=force) return
Tags each `Monomer` in the `Assembly` with it's secondary structure. Notes ----- DSSP must be available to call. Check by running `isambard.external_programs.dssp.test_dssp`. If DSSP is not available, please follow instruction here to add it: https://github.com/woolfson-...
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def update_config(configclass: type(Config)): config = configclass() def print_list(ctx, param, value): configclass.__config_path__, config_path = , configclass.__config_path__
Command line function to update and the a config.
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def list_all(dev: Device): for name, service in dev.services.items(): click.echo(click.style("\nService %s" % name, bold=True)) for method in service.methods: click.echo(" %s" % method.name)
List all available API calls.
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def generate_labels_from_classifications(classifications, timestamps): window_length = timestamps[1] - timestamps[0] combo_list = [(classifications[k], timestamps[k]) for k in range(0, len(classifications))] labels = [] for k, g in itertools.groupby(combo_list, lambda x: x[0]): ...
This is to generate continuous segments out of classified small windows :param classifications: :param timestamps: :return:
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def get_client(self, initial_timeout=0.1, next_timeout=30): try: return self._test_client(self._q.get(True, initial_timeout)) except Empty: try: self._lock.acquire() if self._clients_in_use >= self._max_clients: raise _...
Wait until a client instance is available :param float initial_timeout: how long to wait initially for an existing client to complete :param float next_timeout: if the pool could not obtain a client during the initial timeout, and we have allocated the maximum available num...
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def one_way(data, n): term = data.astype() no_term = n - term t_exp = np.mean(term, 0) t_exp = np.array([t_exp, ] * data.shape[0]) nt_exp = n - t_exp t_mss = (term - t_exp) ** 2 / t_exp nt_mss = (no_term - nt_exp) ** 2 / nt_exp chi2 = t_mss + nt_mss return special.chdtrc(1, chi2...
One-way chi-square test of independence. Takes a 1D array as input and compares activation at each voxel to proportion expected under a uniform distribution throughout the array. Note that if you're testing activation with this, make sure that only valid voxels (e.g., in-mask gray matter voxels) are inc...
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def _visit_for(self, cls, node, parent): newnode = cls(node.lineno, node.col_offset, parent) type_annotation = self.check_type_comment(node) newnode.postinit( target=self.visit(node.target, newnode), iter=self.visit(node.iter, newnode), body=[self.vis...
visit a For node by returning a fresh instance of it
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def multi_constructor_pkl(loader, tag_suffix, node): mapping = loader.construct_yaml_str(node) if tag_suffix != "" and tag_suffix != u"": raise AssertionError(+tag_suffix+) rval = ObjectProxy(None, {}, yaml.serialize(node)) rval.instance = serial.load(mapping) return rval
Constructor function passed to PyYAML telling it how to load objects from paths to .pkl files. See PyYAML documentation for details on the call signature.
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def run_inference(examples, serving_bundle): batch_size = 64 if serving_bundle.estimator and serving_bundle.feature_spec: preds = serving_bundle.estimator.predict( lambda: tf.data.Dataset.from_tensor_slices( tf.parse_example([ex.SerializeToString() for ex in examples], serving_bund...
Run inference on examples given model information Args: examples: A list of examples that matches the model spec. serving_bundle: A `ServingBundle` object that contains the information to make the inference request. Returns: A ClassificationResponse or RegressionResponse proto.
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def K_separator_demister_York(P, horizontal=False): r P = P/psi if P < 15: if P < 1: P = 1 K = 0.1821 + 0.0029*P + 0.0460*log(P) elif P < 40: K = 0.35 else: if P > 5500: P = 5500 K = 0.430 - 0....
r'''Calculates the Sounders Brown `K` factor as used in determining maximum permissible gas velocity in a two-phase separator in either a horizontal or vertical orientation, *with a demister*. This function is a curve fit to [1]_ published in [2]_ and is widely used. For 1 < P < 15 psia: ...
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def decree(cls, path, concrete_start=, **kwargs): try: return cls(_make_decree(path, concrete_start), **kwargs) except KeyError: raise Exception(f)
Constructor for Decree binary analysis. :param str path: Path to binary to analyze :param str concrete_start: Concrete stdin to use before symbolic input :param kwargs: Forwarded to the Manticore constructor :return: Manticore instance, initialized with a Decree State :rtype: Ma...
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def put_stream(self, rel_path, metadata=None, cb=None): import Queue import time import threading md5 = metadata.get(, None) if metadata else None acl = ( if metadata.get(, False) else metadata.get(, ...
Return a Flo object that can be written to to send data to S3. This will result in a multi-part upload, possibly with each part being sent in its own thread
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def get_next(self): while self.stack: if self.stack[-1].wkids: node = self.stack[-1].wkids.pop(0) if not self.stack[-1].wkids: self.stack[-1].wkids = None if node in self.history: self.cycle_func(node, ...
Return the next node for this walk of the tree. This function is intentionally iterative, not recursive, to sidestep any issues of stack size limitations.
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def get_matrix_index(graph: BELGraph) -> Set[str]: return { node.name for node in graph if isinstance(node, CentralDogma) and node.namespace.upper() == }
Return set of HGNC names from Proteins/Rnas/Genes/miRNA, nodes that can be used by SPIA.
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def update_commands(self, commands_str): commands = dict(parse_qsl(commands_str, keep_blank_values=True)) _if = commands.get("if", self._if) if _if: self._if = Condition(_if) self._set_int(commands, "max_length") self._set_int(commands, "min_length") ...
update with commands from the block
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def check_trytes_codec(encoding): if encoding == AsciiTrytesCodec.name: return AsciiTrytesCodec.get_codec_info() elif encoding == AsciiTrytesCodec.compat_name: warn( .format( new_codec=AsciiTrytesCodec.name, old_codec=AsciiTrytesCode...
Determines which codec to use for the specified encoding. References: - https://docs.python.org/3/library/codecs.html#codecs.register
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def merge_intervals(intervals): if intervals is None: return None intervals.sort(key=lambda i: i[0]) out = [intervals.pop(0)] for i in intervals: if out[-1][-1] >= i[0]: out[-1][-1] = max(out[-1][-1], i[-1]) else: out.append(i) return out
Merge intervals in the form of a list.
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def serialize_to_xml_str(obj_pyxb, pretty=True, strip_prolog=False, xslt_url=None): return serialize_gen(obj_pyxb, None, pretty, strip_prolog, xslt_url)
Serialize PyXB object to pretty printed XML ``str`` for display. Args: obj_pyxb: PyXB object PyXB object to serialize. pretty: bool False: Disable pretty print formatting. XML will not have line breaks. strip_prolog: True: remove any XML prolog (e.g., ``<?xml version="1....
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def get_optimized_molecule(self): opt_coor = self.get_optimization_coordinates() if len(opt_coor) == 0: return None else: return Molecule( self.molecule.numbers, opt_coor[-1], )
Return a molecule object of the optimal geometry
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def sample_from_distribution(self, distribution, k, proportions=False): dist = self._get_column(distribution) total = sum(dist) assert total > 0 and np.all(dist >= 0), dist = dist/sum(dist) sample = np.random.multinomial(k, dist) if proportions: samp...
Return a new table with the same number of rows and a new column. The values in the distribution column are define a multinomial. They are replaced by sample counts/proportions in the output. >>> sizes = Table(['size', 'count']).with_rows([ ... ['small', 50], ... ['mediu...
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def _drop_duplicate_ij(self): self.network[] = list(map(lambda x: tuple(sorted(x)), list( zip(*[self.network[].values, self.network[].values])))) self.network.drop_duplicates([, ], inplace=True) self.network.reset_index(inplace=True, drop=True) self.network.drop(, in...
Drops duplicate entries from the network dataframe.
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def create_many(self, statements): create_statements = [] for statement in statements: statement_data = statement.serialize() tag_data = list(set(statement_data.pop(, []))) statement_data[] = tag_data if not statement.search_text: ...
Creates multiple statement entries.
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async def execute(self, query: str, *args, timeout: float=None) -> str: async with self.acquire() as con: return await con.execute(query, *args, timeout=timeout)
Execute an SQL command (or commands). Pool performs this operation using one of its connections. Other than that, it behaves identically to :meth:`Connection.execute() <connection.Connection.execute>`. .. versionadded:: 0.10.0
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def setBaudrate(self, baudrate): from . import mavutil if self.baudrate == baudrate: return self.baudrate = baudrate self.mav.mav.serial_control_send(self.port, mavut...
set baudrate
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def PopEvent(self): try: macb_group_identifier, content_identifier, event = heapq.heappop( self._heap) if macb_group_identifier == : macb_group_identifier = None return macb_group_identifier, content_identifier, event except IndexError: return None
Pops an event from the heap. Returns: tuple: containing: str: identifier of the event MACB group or None if the event cannot be grouped. str: identifier of the event content. EventObject: event.
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def op( name, labels, predictions, num_thresholds=None, weights=None, display_name=None, description=None, collections=None): import tensorflow.compat.v1 as tf if num_thresholds is None: num_thresholds = _DEFAULT_NUM_THRESHOLDS if weights is None: weights = 1.0 d...
Create a PR curve summary op for a single binary classifier. Computes true/false positive/negative values for the given `predictions` against the ground truth `labels`, against a list of evenly distributed threshold values in `[0, 1]` of length `num_thresholds`. Each number in `predictions`, a float in `[0, 1...
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def add_template(self, tpl): objcls = self.inner_class.my_type name = getattr(tpl, , ) sdesc = getattr(tpl, , ) hname = getattr(tpl, , ) logger.debug("Adding a %s template: host_name: %s, name: %s, service_description: %s", objcls, hname, name, sdesc...
Adds and index a template into the `templates` container. This implementation takes into account that a service has two naming attribute: `host_name` and `service_description`. :param tpl: The template to add :type tpl: :return: None
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def _send(self, data): try: self._sock.sendto(data.encode(), self._addr) except (socket.error, RuntimeError): pass
Send data to statsd.
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def display_name(self): for k in self._NAME_KEYS: if self._raw.get(k): return self._raw[k] if "profile" in self._raw and self._raw["profile"].get(k): return self._raw["profile"][k] return self._raw["name"]
Find the most appropriate display name for a user: look for a "display_name", then a "real_name", and finally fall back to the always-present "name".
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def hash(self): hashed = super(Compare, self).hash() return khash(hashed, self._comp_value, self._comp_type)
:rtype: int :return: hash of the condition
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def _get_bq_service(credentials=None, service_url=None): assert credentials, http = credentials.authorize(Http()) service = build( , , http=http, discoveryServiceUrl=service_url, cache_discovery=False ) return service
Construct an authorized BigQuery service object.
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def list_(): * ret = [] states_path = _states_path() if not os.path.isdir(states_path): return ret for state in os.listdir(states_path): if state.endswith((, )): ret.append(state[:-9]) return sorted(set(ret))
Return the list of frozen states. CLI Example: .. code-block:: bash salt '*' freezer.list
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def numberOfXTilesAtZoom(self, zoom): "Returns the number of tiles over x at a given zoom level" [minRow, minCol, maxRow, maxCol] = self.getExtentAddress(zoom) return maxCol - minCol + 1
Returns the number of tiles over x at a given zoom level
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def get_last_weeks(number_of_weeks): time_now = datetime.now() year = time_now.isocalendar()[0] week = time_now.isocalendar()[1] weeks = [] for i in range(0, number_of_weeks): start = get_week_dates(year, week - i, as_timestamp=True)[0] n_year, n_week = get_year_week(start) ...
Get the last weeks.
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def from_pubkey(cls, pubkey, compressed=True, version=56, prefix=None): pubkey = PublicKey(pubkey, prefix=prefix or Prefix.prefix) if compressed: pubkey_plain = pubkey.compressed() else: pubkey_plain = pubkey.uncompressed() addressbin = ripemd16...
Derive address using ``RIPEMD160(SHA512(x))``
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def save_model(model, output_file=None, output_dir=None, output_prefix=): if output_file: mzn_file = output_file output_file = open(output_file, , buffering=1) else: output_prefix += output_file = NamedTemporaryFile( dir=output_dir, prefix=output_prefix, suffix=...
Save a model to file. Parameters ---------- model : str The minizinc model (i.e. the content of a ``.mzn`` file). output_file : str The path to the output file. If this parameter is ``None`` (default), a temporary file is created with the given model in the specified output ...
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def get_point(self, *position): array = _ffi.new(self._arrayType, position) if self._useOctaves: return (self._noiseFunc(self._noise, array, self._octaves) + 1) * 0.5 return (self._noiseFunc(self._noise, array) + 1) * 0.5
Return the noise value of a specific position. Example usage: value = noise.getPoint(x, y, z) Args: position (Tuple[float, ...]): The point to sample at. Returns: float: The noise value at position. This will be a floating point in the 0.0-1.0 range.
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def set_boolean(self, option, value): if not isinstance(value, bool): raise TypeError("%s must be a boolean" % option) self.options[option] = str(value).lower()
Set a boolean option. Args: option (str): name of option. value (bool): value of the option. Raises: TypeError: Value must be a boolean.
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def plot(self, format=, bits=None, **kwargs): if format == : return super(StateVector, self).plot(**kwargs) if format == : from ..plot import Plot kwargs.setdefault(, ) return Plot(*self.to_dqflags(bits=bits).values(), proj...
Plot the data for this `StateVector` Parameters ---------- format : `str`, optional, default: ``'segments'`` The type of plot to make, either 'segments' to plot the SegmentList for each bit, or 'timeseries' to plot the raw data for this `StateVector` ...
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def idxmax(self, axis=0, skipna=True, *args, **kwargs): skipna = nv.validate_argmax_with_skipna(skipna, args, kwargs) i = nanops.nanargmax(com.values_from_object(self), skipna=skipna) if i == -1: return np.nan return self.index[i]
Return the row label of the maximum value. If multiple values equal the maximum, the first row label with that value is returned. Parameters ---------- skipna : bool, default True Exclude NA/null values. If the entire Series is NA, the result will be NA....
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def from_df(cls, df, **kwargs): tree = cls(**kwargs) for (n,b), g in df.groupby([,]): sources = [Source(**s[[,,,,]]) for _,s in g.iterrows()] obs = Observation(n, b, g.resolution.mean(), sources=sources,...
DataFrame must have the right columns. these are: name, band, resolution, mag, e_mag, separation, pa
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def to_json(self): json_dict = self.to_json_basic() json_dict[] = self.channel json_dict[] = self.disable_inhibit_forced json_dict[] = self.status json_dict[] = self.led_status json_dict[] = self.delay_time return json.dumps(json_dict)
:return: str
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def _doBottomUpCompute(self, rfInput, resetSignal): self._conditionalBreak() self._spatialPoolerInput = rfInput.reshape(-1) assert(rfInput.shape[0] == 1) inputVector = numpy.array(rfInput[0]).astype() outputVector = numpy.zeros(self._sfdr.getNumColumns()).astype() ...
Do one iteration of inference and/or learning and return the result Parameters: -------------------------------------------- rfInput: Input vector. Shape is: (1, inputVectorLen). resetSignal: True if reset is asserted
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def get_value_from_handle(self, handle, key, handlerecord_json=None): LOGGER.debug() handlerecord_json = self.__get_handle_record_if_necessary(handle, handlerecord_json) if handlerecord_json is None: raise HandleNotFoundException(handle=handle) list_of_entries = han...
Retrieve a single value from a single Handle. If several entries with this key exist, the methods returns the first one. If the handle does not exist, the method will raise a HandleNotFoundException. :param handle: The handle to take the value from. :param key: The key. :return:...
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def assign_valence(mol): for u, v, bond in mol.bonds_iter(): if bond.order == 2: mol.atom(u).pi = 1 mol.atom(v).pi = 1 if mol.atom(u).symbol == "O" and not mol.atom(u).charge: mol.atom(v).carbonyl_C = 1 if mol.atom(v).symbol == "O" and not...
Assign pi electron and hydrogens
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def get_curline(): if Frame: frame = Frame.get_selected_python_frame() if frame: line = f = frame.get_pyop() if f and not f.is_optimized_out(): cwd = os.path.join(os.getcwd(), ) fname = f.filename() if cwd in f...
Return the current python source line.
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def setUp(self, mfd_conf): TypeFirstSecondThirdModel_WeightMFD_spacingMinimum_Magnitudeb_valueMaximum_MagnitudeMaximum_Magnitude_Uncertainty self.mfd_type = mfd_conf[] self.mfd_model = + self.mfd_type self.mfd_weight = mfd_conf[] self.bin_width = mfd_conf[] self.mmin = m...
Input core configuration parameters as specified in the configuration file :param dict mfd_conf: Configuration file containing the following attributes: * 'Type' - Choose between the 1st, 2nd or 3rd type of recurrence model {'First' | 'Second' | 'Third'} ...
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def deploy(stage, lambda_package, no_lambda, rebuild_deps, config_file): config = _load_config(config_file) if stage is None: stage = config[] s3 = boto3.client() cfn = boto3.client() region = _get_aws_region() previous_deployment = None try: previous_deployment =...
Deploy the project to the development stage.