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def parse_generic(data, key): """ Returns a list of (potentially disabled) choices from a dictionary. """ choices = [] for k, v in sorted(data[key].iteritems(), key=lambda item: item[1]): choices.append([v, k]) return choices
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def get_ct_solution_array(mechanism, library): """Obtain a Cantera SolutionArray object representative of an arbitrary library Parameters ---------- mechanism: spitfire.chemistry.mechanism ChemicalMechanismSpec instance the mechanism library: a spitfire.chemistry.library...
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import glob def _aux_fft_m(filename, t_step=None, t_ini=None, t_end=None, subtract_values='first', vertex_indices=None): """ Helper function to compute the Fourier transform of magnetisation data, which is either read from a single .ndt file (for spatially averaged magnetisation) or from a series of ....
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def read_layer(path, layer=0, index=None): """Create a vector layer from the specified path. Will try to read using ogr.OpenShared. Parameters ---------- path_or_str: string path or json string layer: integer The layer number to use. Use ogrinfo to see the available la...
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import copy def abut (source,*args): """ Like the |Stat abut command. It concatenates two lists side-by-side and returns the result. '2D' lists are also accomodated for either argument (source or addon). CAUTION: If one list is shorter, it will be repeated until it is as long as the longest list. If this beh...
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def template(*args, **kwargs): """template function that injects context into each call""" rendered = jinja2_template( *args, **kwargs | dict( queries=appState.queries, errors=appState.errors, path=request.path, logged_in=appState.logged_in...
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def log_format_info(event_str, data = {}): """ log_format_info is a helper function. It will format an info message with support for event data. event_str A string describing the event data A dictionary with info returns string to pass to logger.info() Example: try: ... except Exception as e: log...
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def tag_pos(sentences: list) -> list: """Tag parts of speech of tokens in each sentence. Args: sentences (list): List of word tokenized sentences. Returns: list: List of part-of-speech tagged sentences. """ return [nltk.pos_tag(sentence) for sentence in sentences]
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def count_machines(filter: str = None, configuration: Configuration = None, secrets: Secrets = None) -> int: """ Return count of Azure virtual machine instance(s). Parameters ---------- filter : str Filter the virtual machine instance(s). If omitted a r...
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def attrs_to_dict(attrs): """ Convert a list of tuples of (name, value) attributes to a single dict of attributes [name] -> value :param attrs: List of attribute tuples :return: Dict of attributes """ out = {} for attr in attrs: if out.get(attr[0]) is None: out[attr[0...
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import re def sub(table, field, pattern, repl, count=0, flags=0): """ Convenience function to convert values under the given field using a regular expression substitution. See also :func:`re.sub`. .. versionadded:: 0.5 .. versionchanged:: 0.10 Renamed 'resub' to 'sub'. """...
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import sys def do_add(gc, args): """DEPRECATED! Use image-create instead.""" try: fields = get_image_fields_from_args(args.fields) except RuntimeError as e: print(e) return FAILURE image_meta = { 'is_public': utils.string_to_bool( fields.pop('is_public', 'F...
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import os def _get_horovod_rank_and_size(): """Get rank and size from environment, return (rank, size), if failed, return (``None``, ``None``)""" rank_env = ['HOROVOD_RANK', 'OMPI_COMM_WORLD_RANK', 'PMI_RANK'] size_env = ['HOROVOD_SIZE', 'OMPI_COMM_WORLD_SIZE', 'PMI_SIZE'] for rank_var, size_var in z...
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from typing import Dict from typing import Any from typing import Type from re import T def get_instance(config: Dict[str, Any], target_class: Type[T]) -> T: """Constructs an instance of type target_class from config.yml dict structure. E.g. {class: path.to.module.MyClass, constructor: {arg1: <arg1>}} ...
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def count(i): """List or text. Returns the length as an integer.""" return len(i)
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import yaml def GenerateConfig(context): """Entry function to generate the DM config.""" content = { 'resources': [ _RuntimeConfig(context), _Waiter(context), ], 'outputs': [ { 'name': 'config-url', 'value': _ConfigUrl(context) ...
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def estimate_psd(t, k, n_zero=2_000, db=False): """Estimate the PSD from samples of the kernel. Args: t (vector): Time points of the kernel, which should be a linear space starting from the origin. k (vector): Kernel. n_zero (int, optional): Zero padding. Defaults to `2_000`...
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def approve(owner, spender, tokenId, amount): """ approve amount of the tokenId token to toAcct address, it can overwrite older approved amount :param owner: :param spender: :param tokenId: :param amount: :return: """ res = int(owner) RequireWitness(owner) RequireScriptHash(o...
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def determine_fit_quality_mvm_interface(imglist, filtered_table, catalogs_remaining, ref_catalog_length, align_pars, print_fit_parameters=True, loglevel=logutil.logging.NOTSET): """Simple interface to allow MVM code to use determine_fit_quality(). Parameters --------...
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import sys import locale def set_default_encoding(encoding=None): """set_default_encoding(encoding) - set the default character encoding Set the default character encoding of the run-time. If 'encoding' is not provided, the current locale's character encoding is used by default. If current locale's encoding is...
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from datetime import datetime def started_streaming(before: discord.Member, after: discord.Member): """ Return True if the member just started streaming, and did not do so recently. """ # The member is not streaming at the moment if after.game is None or not after.game.type == 1: return False ...
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import os def load_adni_longitudinal_rs_fmri(dirname='ADNI_longitudinal_rs_fmri', prefix='wr*.nii'): """ Returns paths of ADNI rs-fMRI """ # get file paths and description images, subject_paths, description = _get_subjects_and_description( base_dir=dirname, ...
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def score(hand): """ Compute the maximal score for a Yahtzee hand according to the upper section of the Yahtzee score card. hand: full yahtzee hand Returns an integer score """ possible_scores = [] #Add each possible score to the list of possible scores for num in list(hand): ...
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from functools import reduce def lLog( A ): """Calculate the log of A: log(A)""" if type(A) is list: Ainv = lInvert( A ) Ap = [ lScalMult(Fraction(1, n), reduce( lSum, ( lScalMult( k, lConvolute( A[k], Ainv[n-k] ) ) for k in range(1,n+1) ) ) ) for n in range(1,len(A)) ] return [lLog(A...
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import math def fibonacci_sphere(samples=1): """Implementation from as https://stackoverflow.com/questions/9600801/evenly-distributing-n-points-on-a-sphere""" points = [] phi = math.pi * (3. - math.sqrt(5.)) # golden angle in radians for i in range(samples): y = 1 - (i / float(samples - 1)) ...
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def ml(request): """A pytest fixture to provide access to the underlying coverage object.""" # Check with hasplugin to avoid getplugin exception in older pytest. if request.config.pluginmanager.hasplugin('_test_ml'): plugin = request.config.pluginmanager.getplugin('_test_ml') if plugin.cov_...
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def load_doc_topics(input_file, doc_topic_file, threshold=0.01): """Load topics in each document""" articles = [] with open(doc_topic_file) as tfin: for data in utils.read_json_list(input_file): topic_line = tfin.readline() if not topic_line: break ...
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def subsegment(data, frames, n_segments=4, axis=-1): """Sub-divide a segmentation by feature clustering. Given a set of frame boundaries (``frames``), and a data matrix (``data``), each successive interval defined by ``frames`` is partitioned into ``n_segments`` by constrained agglomerative clustering....
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from typing import Union import pathlib from typing import IO from typing import Any from typing import Dict from typing import Callable from typing import Optional import io def from_yaml( yaml_str: Union[str, pathlib.Path, IO[Any]], routing_strategy: Dict[str, Callable] = routing_strategy_factories, lab...
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def wehrli(smooth=True, unit=u.Unit('W/(m2 um)')): """Wehrli (1985) solar spectrum (at 1 AU). Parameters ---------- smooth : bool, optional Set to `True` to smooth the solar spectrum (see Notes). unit : astropy Unit Return flux in these units (must be spectral flux density). Return...
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def load_frm_bag(filename): """Loads specific topics from rosbag and stores data as np.arrays Parameters ---------- filename : string, required Name of .bag file Outputs ---------- """ bag = rosbag.Bag(filename) outbag = rosbag.Bag(filename+'_new','w') # topic_name =...
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import math def PlateStiffener (b, t, hw, tw, bf, tf, L, fyp, fyw = 0, fyf = 0, E = 210000): """ """ # plate (flange) section _b = b _t = t # web section _hw = hw _tw = tw # flange section _bf = bf _tf = tf # Fy plate _Fyp = fyp # Fy web if fyw == 0: _Fyw = _Fyp...
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def find_body(view): """ Find first package body declaration. """ return view.find(r'(?im)create\s+(or\s+replace\s+)?package\s+body\s+', 0)
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def _get_files_project(sample, upload_config): """Retrieve output files associated with an entire analysis project. """ out = [{"path": sample["provenance"]["programs"]}] if sample["summary"].get("project"): out.append({"path": sample["summary"]["project"]}) for x in sample.get("variants", [...
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from bs4 import BeautifulSoup def add_currency_card(soup: BeautifulSoup, conversion_details: dict) -> BeautifulSoup: """Adds the currency conversion boxes to response of the search query Args: soup: Parsed search result conversion_details: Dictionary of currency ...
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def _should_send_own_updates(self): """Get whether a user wants to receive emails about their activity. This is patched into the user object to make it easier to deal with missing Profile objects. """ try: return self.get_profile().should_send_own_updates except Profile.DoesNotExist: ...
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def get_glibc_version(): # type: () -> Optional[Tuple[int, int]] """Based on PEP 513/600""" import ctypes # pylint: disable=bad-option-value,import-outside-toplevel try: process_namespace = ctypes.CDLL(None) gnu_get_libc_version = process_namespace.gnu_get_libc_version except (Attr...
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def generate_family_filenames(name, styles): """Name is the family name portion of a Noto filename. Styles is the encoding of the styles, see _get_stylenames.""" stylenames = _get_stylenames(styles) return [name + "-" + s + ".ttf" for s in stylenames]
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def type_accept(*type_args, **type_kwargs): """Decorator to check function/method input types. Based on Python Cookbook 3rd ed. #9.7.""" def decorate(func): # Map function argument names to supplied types sig = signature(func) bound_types = sig.bind_partial(*type_args, **type_kwargs).ar...
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def geonet_diffusion(demArray, diffusionMethod, nFilterIterations, edgeThreshold, diffusionTimeIncrement, diffusionSigmaSquared, pixelSize): """ References: Based on diffusion() by Guy Gilboa Code imported from GeoNet2.1 by Harish Sangireddy June 2014 ...
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def make_optimiser(name="adam", learning_rate=0.0001, **kwargs): """ Helper to create an optimiser from the command line. :param name: name of optimisers :param learning_rate: learning rate of optimiser :param kwargs: kwargs that can be passed along to keras optmiser :return: """ if name...
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def hid_logout(): """ Flask controller: kill the user's login session with Humanitarian.ID GET parameters: from - the URL of the page from which we were redirected """ path = flask.request.args.get('from', '/') # original path where user choose to log out flask.session.clear() # clear the logi...
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def grabCut(image, labels, use_tresholds=True, thresholds=(0.2, 0.6, 0.8), iterations=2, clean=False): """Use the predicted mask and OpenCV's GrabCut algorithm to mask an image. Parameters ---------- image : numpy.ndarray input image to mask labels : numpy.ndarray labels for backgro...
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from typing import List def get_resolutions() -> List[str]: """ Get available resolutions for DWD CDC Climate Data. If `resolution_name` is None, all resolutions are returned. :param str resolution_name: A string describing the resolution, either "hourly" or "10_minutes" :returns: A list of res...
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def renormalize(a: tp.MaybeArray[float], from_range: tp.Tuple[float, float], to_range: tp.Tuple[float, float]) -> tp.MaybeArray[float]: """Renormalize `a` from one range to another.""" delta1 = from_range[1] - from_range[0] delta2 = to_range[1] - to_range[0] return (delta2 * (a - from_ra...
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def jdn_to_rjd(jdn: int) -> int: """Return Reduced Julian Day (RJD) number from Julian day number (JDN). Args: jdn: Julian day number (JDN). """ return jdn - 2400000
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import time def bruteforceGeocoding(dict_address: dict, apiKey: str, waitTime: int): """ Geocoder trying the Bing API given the address Args: dict_address (dict): dictionary with the address to locate. apiKey (str): Bing API key. waitTime (int): Time to wait between a call and the...
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import math def roll(entropy, n): """From 0 to n - 1.""" # Minimum bit depth to cover the full range. # Note that more bits would be more fair. bit_depth = math.ceil(math.log2(n)) x = entropy(bit_depth) # Scale from total range to desired range. # Numbers with higher odds will be evenly...
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def get_parsed_trigger_file( trigger_file, s3_key, expected_keys=[], legacy_keys=[] ): """Check that trigger file has the correct keys, add default values, and potentially fall back to a legacy format if the first set of keys are not present""" if all(key in trigger_file for key in expected_keys): ...
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def _wait_for_instance( aws_svc, instance_id, timeout=300, state='running'): """ Wait for up to timeout seconds for an instance to be in the 'running' state. Sleep for 2 seconds between checks. :return: The Instance object, or None if a timeout occurred """ log.debug( 'Waiting ...
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def minibatch_iterator(minibatch_size = 1, epochs = 1, final_treatment = 'stop', single_channel = False): """ :param minibatch_size: :param epochs: :param final_treatment: :param single_channel: :return: A function that, when called with a Data Collection, returns an iterator. """ def i...
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def create_ipv6_network(config_id, pool_cidr, pool_name): """create ipv6 network under configuration""" parent = get_parent(config_id, pool_cidr) parent_id = config_id if parent is not None: parent_id = parent['id'] return g.user.get_api()._api_client.service.addIP6NetworkByPrefix(parent_id,...
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import random def gen_sample_data(n_sample=300): """ Generate sample data """ survey_data = [] for _ in tqdm_notebook(range(n_sample)): district = random.choice(possible_district) age = random.choice(possible_age) sex = random.choice(possible_sex) increase_list = ra...
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def yaml_ssm_constructor(loader, node): """ Implements the yaml tag !SSM The tag takes the same arguments as SSM's GetParameter call: http://boto3.readthedocs.io/en/latest/reference/services/ssm.html#SSM.Client.get_parameter http://docs.aws.amazon.com/systems-manager/latest/APIReference/API_GetParamete...
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def check_pair_numpy_param(inputs_name, inputs, labels_name, labels): """ Dimension-equivalence check for `inputs` and `labels`. Args: inputs_name (str): Name of inputs. inputs (Union[list, tuple, numpy.ndarray]): Inputs. labels_name (str): Name of labels. labels (Union[list...
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import json def page_json(): """Return a Page JSON.""" page_str = json.dumps( { "name": "RVXXX1-AutoForward", "capture_credentials": True, "capture_passwords": False, "redirect_url": "redirect.domain", "html": AUTO_FORWARD, } ) ...
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def index(request): """the homepage for learning log""" return render(request, 'learning_logs/index.html')
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import re def validate_search_service_engine_version(engine_version): """ Validate Engine Version for OpenSearchServiceDomain. The value must be in the format OpenSearch_X.Y or Elasticsearch_X.Y Property: Domain.EngineVersion """ engine_version_check = re.compile(r"^(OpenSearch_|Elasticsearch...
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import subprocess import os def get_peatclsm_data_table(variable, expected_header): """Return a tabulated variable as parameterized in PEATCLSM """ output = subprocess.check_output( ['Rscript', '--vanilla', os.path.join( os.path.dirname(__file__), 'peatclsm_hydr...
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import os def get_mlnet_assemblies(chdir=False): """ Retrieves assemblies. """ if chdir: cur = os.getcwd() os.chdir(dll) res = MamlHelper.GetLoadedAssembliesLocation(True) if chdir: os.chdir(cur) dependencies = [] # addition = ["Core", "Data", "Maml", "Api"] ...
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def find_models(*, extended_filters=(), **kwargs) -> ModelSet: """Fetch Models from AssetCentral with the applied filters, return an ModelSet. This method supports the usual filter criteria, i.e. Any named keyword arguments applied as equality filters, i.e. the name of the Model property is checked aga...
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import random def generateDrops(imagePath, cfg, inputLabel = None): """ This function generate the drop with random position """ maxDrop = cfg["maxDrops"] minDrop = cfg["minDrops"] drop_num = randint(minDrop, maxDrop) maxR = cfg["maxR"] minR = cfg["minR"] ifReturnLabel = cfg["return_label"] edge_ratio = c...
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import torch def make_algebra_matrix(tau, mode): """ Generates the matrix on the Lie algebra of the transformation group for vector tau Input: :Tensor tau: parameter vector :String mode: transformation set Output: :array B: 3x3 matrix on the Lie algebra of mode """ tau.squeeze_()...
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def get_num_objects(tree): """ Get number of objects in an image. Args: tree: Tree element of xml file. Returns: Number of objects. """ num_obj = 0 for e in tree.iter(): if e.tag == 'object': num_obj = num_obj + 1 return num_obj
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import math def generate_gate_piover8_daggered_hamiltonian_vec() -> np.ndarray: """Return the vector representation for the Hamiltonian of a pi/8 daggered (T^dagger) gate with respect to the orthonormal Hermitian matrix basis with the normalized identity matrix as the 0th element. The result is a real vector...
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def defer_to_threadpool(reactor, threadpool, f, *args, **kwargs): """ A wrapper for twisted.internet.threads.deferToThreadpool, which handles logcontexts correctly. Calls the function `f` using a thread from the given threadpool and returns the result as a Deferred. Creates a new logcontext fo...
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def global_admin_css(): """Add /static/css/custom.css to the admin.""" return format_html( '<link rel="stylesheet" href="{}">', static("css/wagtail-overrides.css") )
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def list_service_offering(api_client, **kwargs): """Lists all available service offerings.""" cmd = {} cmd.update(kwargs) # [setattr(cmd, k, v) for k, v in kwargs.items()] if 'account' in kwargs.keys() and 'domainid' in kwargs.keys(): cmd['listall'] = True return Response.list(api_clien...
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def read_fileset_vols(file): """ Read in the fileset volumes from the given file and returns the paths :param file: :return: [list] of paths """ with open(file) as r: filesets = r.readlines() paths = [] for fs in filesets: fs_parts = fs.strip().split(' ') #print...
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def get_scene_nodes(): """ Returns al nodes in current scene as GamEX nodes :return: list<gx.dcc.DCCNode> """ node_list = list() _append_children(MaxPlus.Core.GetRootNode(), node_list) return node_list, len(node_list)
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def parse(r): """ Parse and return a pandas TimeSeries object """ # Create TimeSeries try: d = {} for tup in r.json(): d[dt.datetime.fromtimestamp(tup[0])] = tup[1] except: print("-------> Problem with Flukso data parsing <-------") ...
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def shake_shake_skip_connection(x, output_filters, stride, is_training): """Adds a residual connection to the filter x for the shake-shake model.""" curr_filters = common_layers.shape_list(x)[-1] if curr_filters == output_filters: return x stride_spec = [1, stride, stride, 1] # Skip path 1. path1 = tf.n...
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def rename_genome(genome, assembly_summary): """Rename FASTAs based on info in the assembly summary """ genome_id = parse_genome_id(genome) infraspecific_name = assembly_summary.at[genome_id, "infraspecific_name"] organism_name = assembly_summary.at[genome_id, "organism_name"] if type(infraspeci...
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from typing import Union from typing import List from typing import Optional def op_add_listing_details_at_aoi(id_shape: Union[int, List[int]]) -> Optional[str]: """ Fetch and store into the database LISTING DETAILS for the LISTING_IDs found in the quad-grids intersecting with AOI ID_SHAPEs. This is an i...
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import json def autocomplete_autor(): """ route for retrieving autocomplete entries for field autor :return: list of entries for autocomplete """ return json.dumps(Publication.get_autocomplete_entries("autor", request.args['term']))
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import json def makeData(version: str) -> str: """ writes all important minecraft data to a file and returns the path Note that this wil crash if the version is below 1.14. """ version = version or get_latest_version() # first test if the file already exists directory = getVersionDir(ver...
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def generate_data(): """ """ np.random.seed(2046) d1 = np.random.normal(5, 5, 10) d2 = np.random.normal(5, 5, 10) groups = ["d1"] * 10 + ["d2"] * 10 d = {"A": np.concatenate((d1, d2)), "B": groups} data = pd.DataFrame(d) return data
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def show_about(): """关于本站""" site_desc = SiteDesc.query_by_id(1) return render_template("main/about.html", site_desc=site_desc, channel_id=3)
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import math def correlation(x,y,n): """ computes pearson correlation coefficient """ a=covariance(x,y,n)/math.sqrt(variance(x,n)*variance(y,n)) return a
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def partition(n, g): """ Returns the number of ways to partitions set of n elements with a partition of size g """ if n == 1: return 1 elif n == g: return 1 elif g>n or g<=0: return 0 else: sum = 0 for i in range(g, n-g+1, 1): sum += pa...
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from typing import Union def _get_tol_from_less_precise(check_less_precise: Union[bool, int]) -> float: """ Return the tolerance equivalent to the deprecated `check_less_precise` parameter. Parameters ---------- check_less_precise : bool or int Returns ------- float Toler...
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def benchmark(scale=1): """ Benchmark and return information regarding the relative performance of a protocol which does not use the buffering mixin and a protocol which does. @type scale: C{int} @param scale: A multiplier to the amount of work to perform @return: A Deferred which will fir...
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def answer_card_api(state: State) -> flask.Response: """Verify A User's Answer This route is intended for use by xhr/ajax POST Parameters: a: The answer to test against Returns: JSON with the fields: correct (bool): indicates whether the answer was correct scor...
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import os import sys import time def handle_read(cmd_namespace): """ Authors: xuruiqi """ global SLEEP_DURATION filepath_list = getattr(cmd_namespace, "file") lpms = getattr(cmd_namespace, "lpms") start = getattr(cmd_namespace, "start") end = getattr(cmd_nam...
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def _check_data_params(obj, X, y, conf_score): """Extracted out of BaseHandler for WeightedBag & Costing""" # Reproducibility rns = check_random_state(obj.random_state) for k, v in obj.get_params().items(): if isinstance(v, BaseEstimator) and 'random_state' in v.get_params(): v.set_...
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def plot_photostim_effect(session_key, photostim_key, axs=None, title='', plot=True): """ For all trials in this "session_key", split to 4 groups: + control left-lick + control right-lick + photostim left-lick (specified by "photostim_key") + photostim right-lick (specified by "photostim_key") ...
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def calculate_mean_spectrum(msi): """ reduce this image to only its mean spectrum. If the msi.get_image() is a masked array these values will be ignored when calculating the mean spectrum """ # reshape to collapse all but last dimension (which contains reflectances) collapsedImage = collapse_image(m...
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def P_s_next(A, i, j, C, shape): """ Calculate the next probability at position i,j """ temp = Q_s(A, i, j, 1, C, shape) * A[i, j] return temp / ((temp + (1.0 - A[i, j]) * Q_s(A, i, j, 0, C, shape)) + 0.000000001)
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import dask.dataframe as dd def create_statistical_metrics(df_var, percentiles=None, iqr=True, diffs=True, num_workers=1, verbosity=0): """Calculate statistial metrics from a dataframe with pd.DateTimeIndex and a instance (e.g. pixels) dimension. Parameters ---------- df_var : [type] [de...
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def extract_nodegraph_info(filename): """Open the given nodegraph file and return a tuple of information. Returns: the k-mer size, the table size, the number of tables, the version of the table format, and the type of table flag. Keyword argument: filename -- the name of the nodegraph file to insp...
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def name(): """Return the precise name for the software.""" return 'Python'
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def get_cold_start_rating(user_id, movie_id): """ Given user_id and movie_id, return a predicted rating parameters ---------- user_id, movie_id returns ------- movie rating (float) If current user, current movie = average rating of movie by cluster If current user, NOT ...
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import os import json def full_configuration(): """Get test configuration information. Keys are: host - WebDriver server host. port - WebDriver server port. capabilites - Capabilites passed when creating the WebDriver session webdriver - Dict with keys `binary`: path to webdriver binary, and ...
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def continuous_blocking( radius: float, source: _typing.Sequence[_typing.Sequence[float]] ) -> _typechecking.BlockingFunction[_typechecking.Record]: """Block on continuous variables. Split the real number line into overlapping blocks. A quantity is in exactly two blocks. Two quantities within `radi...
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import numpy def point(pose,px,py,pz): """ Project a 3D point into the camera. Input: pose -- camera pose px,py,pz -- point in global frame Output: u,v -- pixel coordinates """ p = pose.dot(numpy.matrix([[px],[py],[pz],[1]])) X = p[0,0] Y = p[1,0] Z = p[2...
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def install(name, clean=True): """ Install a port from the ports tree. Installs using ``BATCH=yes`` for non-interactive building. To set config options for a given port, use :mod:`ports.config <salt.modules.freebsdports.config>`. clean : True If ``True``, cleans after installation. Equivale...
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from typing import Callable def flip(f: Callable) -> Callable: """ Reverse the order of positional arguments of `f` Example: >>> f = lambda a, b, c: (a, b, c) >>> flip(f)('a', 'b', 'c') ('c', 'b', 'a') Args: f: Function to flip positional arguments of Returns: ...
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def _accumulate(data_list, no_concat=()): """Concatenate a list of dicts `(name, array)`. You can specify some names which arrays should not be concatenated. This is necessary with lists of plots with different sizes. """ acc = Accumulator() for data in data_list: for name, val in data...
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import os def set_wifi(opt): """Enable AP.""" hif, lif, mac, vlan = _get_interface('ap', opt.interface_suffix) if not hif: return False if opt.encryption == 'WEP': raise utils.BinWifiException('WEP not supported') stop_ap_wifi(opt) try: _ensure_initialized('ap') _qcsapi('wifi_create_bs...
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def blck_if(preprocessor: Preprocessor, args: str, contents: str) -> str: """the if block usage: {% if <condition> %} ... [{% elif <condition> %} ...] [{% else %}...] {% endif %} """ value = condition_eval(preprocessor, args) pos_0 = 0 desc = "in if block" while True: else_info = find_e...
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