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def quote(s, always=False): """Adds double-quotes to string if it contains spaces. :Parameters: s : str or unicode String to add double-quotes to. always : bool If True, adds quotes even if the input string contains no spaces. :return: If the given string contains spaces or <al...
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def within(v1, v2, eps): """ Return True if v1 is with eps of v2. All params are numbers """ return abs(v1 - v2) < eps
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import pathlib def is_local_path(location: str) -> bool: """ Check if the given location is a local path :param location: holds the location of the schema definition :return: True if the schema is a local path """ try: return pathlib.Path(location).exists() except OSError: # w...
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def get_all_occ(iterable, value): """ Returns a all index occurences of `value` in the `iterable` """ return [ i for i, k in enumerate(iterable) if k == value ]
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def remove_draw_parameter_from_composite_strategy(node): """Given that the FunctionDef is decorated with @st.composite, remove the first argument (`draw`) - it's always supplied by Hypothesis so we don't need to emit the no-value-for-parameter lint. """ del node.args.args[0] del node.args.annota...
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def _powerlaw(x0, y0, slope, x): """ From point (x0, y0) and parameter slope, returns y = f(x) such that: > f(x) = a * (x ** slope) > f(x0) = y0 Parameters ---------- x0, y0, slope, x : float Returns ------- y = f(x) : float """ return y0 * ((x/x0) ** slope)
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def unquote_shell_arg(arg): #=============================================================================== """ Return an argument with quotes removed if present. """ sarg = str(arg) if len(sarg) == 0: return sarg quote_char = sarg[-1] if quote_char not in ('"', "'"): return...
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def get_keyframe_range(obj): """ Returns minimal and maximal frame number of the animation associated with the object. """ anim = obj.animation_data if not anim or not anim.action: return [0, 0] res = None for fcu in anim.action.fcurves: for keyframe in fcu.keyframe_point...
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def gt(x, y): """Implement `gt`.""" return x > y
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def calc_mid_bar(value1, value2, *args): """Calculate percentage of value out of the maximum of several values, for making a bar chart. Return the midpoint between the height of the first and second parameter.""" top = max(args + (value1, value2)) percent = (value1 + value2) / 2 / top * 100 ...
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import calendar def to_seconds(timestamp): """Convert timestamp into integers since epoch.""" try: return calendar.timegm(timestamp.utctimetuple()) except Exception: return None
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import collections def _select_targets(y, min_threshold=10, max_threshold=None): """_select_targets. Return the set of targets that are occurring a number of times bounded by min_threshold and max_threshold. """ c = collections.Counter(y) y_sel = [] for y_id in c: if c[y_id] > min...
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import pickle def inverse_scale(dir, set, data): """ Transform the stellar properties back to the original data range. Parameters ---------- dir : string Directory where the data scaler is saved. set : string The dataset to transform, either train, validation,...
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from typing import Dict from typing import Any def subdict(cols: Dict[str, Any], subkeys: list) -> Dict[str, Any]: """Take a dictionary and subset it based on a list of keys. Args: full_dict (Dict[str, Any]): The full dictionary to be subsetted subkeys (list): list of keys to be contained in ...
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def get_num_groups(filters): """ Helper to select number of groups for GroupNorm. Select 16 by default (as in paper) Otherwise takes filters//4 so we at least have 4 groups """ return min(filters // 4, 16)
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def find_childless_node(digraph): """Finds and returns a childless node in the digraph, or returns None if there are none. """ for node in digraph.nodes(): if node.num_children() == 0: return node return None
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def genes_to_rwr_tsv(genes): """convert a list of genes to a tsv string for use with RWR tools""" return "".join([f"report\t{gene}\n" for gene in genes])
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def buscar_palabra(texto, palabra, numero): """ Cuenta la cantidad de veces que aparece una palabra en un texto. Esta función también documenta el tipo de las variables (str, int, float). Es opcional hacerlo. Args: texto (str): String en donde hay que buscar la palabra. palabra (st...
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def utterance_to_capsules(utterance): """ Transform an Utterance into a list of capsules :param utterance: :return: """ capsules = [] for triple in utterance.triples: capsule = {"chat": utterance.chat.id, "turn": utterance.turn, "author": uttera...
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def CheckTreeIsOpen(input_api, output_api, source_file_filter=None): """Make sure the tree is 'open'. If not, don't submit.""" return input_api.canned_checks.CheckTreeIsOpen( input_api, output_api, json_url='http://chromiumos-status.appspot.com/current?format=json')
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def _get_size(height): """ Determines the size of the grid for the given height map. """ Lx = 0 Ly = 0 for (x,y) in height: Lx = max(x+1,Lx) Ly = max(y+1,Ly) return Lx,Ly
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from typing import OrderedDict def times(*combined): """Generate a product of N sets of combinations. times(combine(a=[1,2]), combine(b=[3,4])) == combine(a=[1,2], b=[3,4]) Args: *combined: N lists of dictionaries that specify combinations. Returns: a list of dictionaries for each combination. R...
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from typing import List def split_string(input_string: str) -> List[str]: """ Takes a string, splits between commas and returns a list with split components as list elements :param input_string: input """ return input_string.split(",")
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def could_overlap(xy_i, swarm, d): """Return a list of all swarm points that could overlap with one point.""" _, y_i = xy_i neighbors = [] for xy_j in swarm: _, y_j = xy_j if (y_i - y_j) < d: neighbors.append(xy_j) return neighbors
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def check_nuvs_file_type(file_name: str) -> str: """ Get the NuVs analysis file type based on the extension of given `file_name` :param file_name: NuVs analysis file name :return: file type """ if file_name.endswith(".tsv"): return "tsv" if file_name.endswith(".fa"): retur...
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def get_category_id(youtube_, category): """ Returns the ID of a given category. Args: youtube_: YouTube API client instance category (str): category to get the ID for. Returns: str """ categories = youtube_.videoCategories().list(part="snippet", regionCode="US").execu...
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def chunks(iterable: list, amount: int): """ Split a list into x chunks :param iterable: List of stuff to chunk :param amount: How many chunks? :return: List of lists """ avg = len(iterable) / float(amount) out = [] last = 0.0 while last < len(iterable): out.append(itera...
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def get_keystone_token(conf, client): """Gets Keystone Auth token.""" body = { 'auth': { 'passwordCredentials': { 'username': conf.auth.username, 'password': conf.auth.password }, }, } header = {"Content-Type": "application/json", ...
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def iterate(dataset, dims): """Iterate over all xarray dimensions except specified ones. Parameters ---------- dataset : xarray Dataset Input dataset dims : sequence of strings Dimension to exclude from iteration Returns ------- names : sequence of strings Names...
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def decode_entity(x, mask): """Decode sequences of entities from weight matrix Args: x (torch.Tensor): output with shape (B, T, num_entities) mask (torch.BoolTensor): (B, T) Returns: (list[list[int]]): best sequences of entities of this batch, representing in indexes (B, *) """...
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def calc_asue_el_th_ratio(th_power): """ Estimate Stromkennzahl according to ASUE 2015 data sets Parameters ---------- th_power : float Thermal power in Watt Returns ------- el_th_ratio : float Current el. to th. power ratio (Stromkennzahl) """ el_th_ratio = 0....
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import re def _detect_non_english(text): """Function that detects if there's non-english characters in text Args: text (string): text of a news article Returns: boolean: True if there's non-english characters exist """ # korean if re.search("[\uac00-\ud7a3]", text): r...
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import collections def extract_duplicates(lst): """ Return all items of a list that occur more than once. Parameters ---------- lst: List[Any] Returns ------- lst: List[Any] """ return [item for item, count in collections.Counter(lst).items() if count > 1]
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def get_lvl(ob): """ Returns the number of parents of a given object, or, in other words, it's level of deepness in the scene tree. Parameters ---------- ob : bpy.types.object Blender object Returns ------- lvl : int The number of parents of the object. For 'None' -...
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def calc_transpose(func, in_data, **kwargs): """[Transpose](https://docs.chainer.org/en/v4.3.0/reference/generated/chainer.functions.transpose.html) Transpose operation is just copying memory with no FLOPs. | Item | Value | |:-------|:------| | FLOPs | $$ 0 $$ | | mread | $$ \| x \| $$ | ...
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def set_up_iter(it): """ defined the time step for the first iteration and sets total simulation time at start to 0 s Arguments --------------- it number of iterations Results --------------- dt0 first time step t_passed initialize time control ...
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def gpio_pin(port, pin): """ GPIO pin definition. """ return ("pin", (port, pin))
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from typing import Optional def ema(x: float, mu: Optional[float] = None, alpha: float = 0.3) -> float: # taken from https://github.com/timwedde/rich-utils/blob/master/rich_utils/progress.py """ Exponential moving average: smoothing to give progressively lower weights to older values. Parameters ...
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def exec(container, command, out=True): """ Run one or more commands inside a docker container. Paremters --------- container : docker container command : str or list of commands. Multiple commands are joined with ' && ' out : print the output from running the commands """ # convert...
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def processWpaReturn(output): """ Extract AP info from wpa_supplicant output Args: output, string by bytes Returns: A list of dictionary with 3 fields: "ssid", "quality" and "signal" """ lines = output.split('\n') length = len(lines) AP_info = [] if length > 1: ...
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from bs4 import BeautifulSoup def parse_body(message): """Parses text body from email message object with BeautifulSoup. Parameters: message (email.Message object): Loaded email with Python standard library email module. Returns: body (str): Email text body. """ body = '' i...
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def _is_mxp_header(line): """Returns whether a line is a valid MXP header.""" line = line.strip() return (len(line) > 2 and line.startswith('*') and line.endswith('*') and line[1:-1].strip().lower().startswith('exported from'))
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def expand_corepath(pathname, session=None, node=None): """ Expand a file path given session information. :param str pathname: file path to expand :param core.emulator.session.Session session: core session object to expand path with :param core.nodes.base.CoreNode node: node to expand path with ...
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from typing import Dict import yaml def load_config(path: str) -> Dict: """Loads YAML file Args: path (str): path to yml file Returns: Dict: yaml config """ print(f"Loading parameters from {path}.") with open(path, "r") as stream: try: config = yaml.safe_l...
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def humanize_seconds(seconds: int): """Convert seconds to readable format.""" seconds = int(seconds) days = seconds // 86400 hours = (seconds - days * 86400) // 3600 minutes = (seconds - days * 86400 - hours * 3600) // 60 seconds = seconds - days * 86400 - hours * 3600 - minutes * 60 result ...
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def modules_tmpdir(tmpdir, monkeypatch): """Add a temporary directory for modules to sys.path.""" tmp = tmpdir.mkdir('tmp_modules') monkeypatch.syspath_prepend(str(tmp)) return tmp
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def _get_ordering(actual, desired): """Find an ordering of indices so that desired[i] == actual[ordering[i]]. Parameters ---------- actual, desired : string, same length Two strings differring only in the permutation of their characters. Returns ------- ordering : list of int ...
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def get_queue_for_pilot(resources): """ Determine which queue this pilot resource belongs in. Args: resources (dict): resources dict Returns: str: queue name """ if resources['gpu']: return 'gpu' elif resources['memory'] >= 8: return 'memory' else: ...
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def get_AllAlternativeImages(self, page=True, region=True, line=True, word=True, glyph=True): """ Get all the ``pc:AlternativeImage`` in a document Arguments: page (boolean): Get images on ``pc:Page`` level region (boolean): Get images on ``pc:*Region`` level line (boolean): Get ima...
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def gen_program_id(program_obj): """ Generates the Elasticsearch document id for a Program Args: program_obj (Program): The Program object Returns: str: The Elasticsearch document id for this object """ return "program_{}".format(program_obj.id)
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def find_thumbnail(filename): """Return a string containing regexp for thumbnail file. Regexp consists of filename without file extension and trailing underscore. Assume: secure_filename by Werkzeug rename uploads so that file extension is always present. """ return '.'.join(filename.spli...
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import requests def grid(url, resource='/grid'): """Return grid definitions. Args: url (str): protocol://host:port/path resource (str): /the/grid/resource (default: /grid) Returns: dict Example: >>> chipmunk.grid(url='http://host:port/path) [{"name":"tile"...
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def lulc_area_sql(grid_name, lulc_name): """ Returns a sql statement that intersects a grid with the LULC table and sums the areas Args: grid_name (string): the PostGIS table name for the grid lulc_name (string): the PostGIS table name for the LULC table Returns: sql (strin...
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def build_lm_labels(sequence, pad_token_id): """ Padding token are replaced by the value -1 so they are not taken into account in the loss computation. """ padded = sequence.clone() padded[padded == pad_token_id] = -1 return padded
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def create_upstream_index( df, downstream_col="downstream", upstream_col="upstream", exclude=None ): """Create an index of downstream ids to all their respective upstream ids. This is so that network traversal can start from a downstream-most segment, and then traverse upward for all segments that have ...
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def make_ngrams(tokens, N): """ Returns a list of N-long ngrams from a list of tokens """ ngrams = [] for i in range(len(tokens)-N+1): ngrams.append(tokens[i:i+N]) return ngrams
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def query_string(query_dict): """Convert a dictionary into a query string URI. Args: query_dict (dict): Dictionary of query keys and values. Returns: str: Query string, i.e. ?query1=value&query2=value. """ queries = [ '{0}={1}'.format(key, query_dict[key]) for key in query_...
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import torch def huber_loss(x): """The classical robust Huber loss, with first and second derivatives.""" mask = x <= 1 sx = torch.sqrt(x) isx = torch.max(sx.new_tensor(torch.finfo(torch.float).eps), 1/sx) loss = torch.where(mask, x, 2*sx-1) loss_d1 = torch.where(mask, torch.ones_like(x), isx)...
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import importlib def get_attribute(module_name: str, attribute_name: str): """ Get the specified module attribute. It most cases, it will be a class or function. :param module_name: module name :param attribute_name: attribute name :return: module attribute """ assert isinstance(module_na...
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def get_conflicting_domains( desired_domains, hmc_access_mode, adapter, partition, all_crypto_config, all_partitions): """ Internal function that determines those domains from the desired domains on a particular adapter that cannot be attached to a particular partition in the desired mod...
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def fizzbuzz(a, b, n): """Takes integers a, b, and n. Returns a string respective to the fizzbuzz specification listed in the header. """ if n % (a*b) == 0: return 'FB' elif n%a == 0: return 'F' elif n%b == 0: return 'B' else: return str(n)
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def week_delta(start, stop): """ Takes two datetime objects and returns number of weeks between them :param datetime.datetime start: :param datetime.datetime stop: :return int: """ delta = (stop - start) / 7 return delta.days
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def new_overlay_size(overlay, ratio): """ Determines an appropriate size for the `overlay`, given the image in `start`. Currently the overlay will be 1/5 of the width, or 1/25 of the total size. Returns a tuple containing the new dimensions. """ overlay_new_width = int(overlay.size[0] * ratio) ...
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import torch def rollout(tensor): """ tensor: B x C x .... -> B * C x ... """ shape = tensor.shape new_shape = [shape[0] * shape[1]] if len(shape) > 2: new_shape += shape[2:] return torch.reshape(tensor, new_shape)
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import requests import gzip from bs4 import BeautifulSoup def href_in_gz(link): """ Returns all application hyperlinks in the xml.gz link - link: the xml.gz link to get all application hyperlinks >>> link = 'https://apkpure.com/sitemaps/art_and_design-2.xml.gz' >>> xml_hrefs = href_in_gz(link) ...
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def beta_exp(a, b): """ Expected value of beta distro https://en.wikipedia.org/wiki/Beta_distribution """ return a / (a + b)
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def truncate(text="", max_len=50): """ Ensure a string complies to the maximum length specified. :param text: Text to be checked for length and truncated if necessary :type text: str :param max_len: Max length of the returned string :type max_len: int, optional :return: Text in :param text:...
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def StringifyBuildEntry(entry): """Pretty print a build entry. Args: entry: a build entry from MakeBuildEntry. Returns: A printable string. """ return '%s %s %d: %s' % (entry['build_id'], entry['builder_name'], entry['build_number'], ' '.join(ent...
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def _make_square(x, y, w, h): """Force the x, y slices into a square by expanding the smaller dimension. If the smaller dimension can't be expanded enough and still fit in the maximum allowed size, the larger dimension is contracted as needed. Args: x, y: slice objects w, h: the (width...
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from typing import SupportsFloat def is_num(obj: SupportsFloat) -> bool: """Return True if `obj` can be casted to float.""" try: float(obj) except ValueError: return False return True
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def option_menu() -> int: """ Ask user to choose option. :precondition: input must be a number that corresponds with an option :postcondition: will return the user's choice as an int :return: input as an int """ while True: print("Please select an option from the following menu.") ...
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def _parse_line(line): """ Parses a line into key, value tuple :return key, value tuple """ if line: tokens = line.split('=', 2) if len(tokens) == 2: return tokens[0].strip(), tokens[1].strip() return None, None
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from typing import Union from pathlib import Path from typing import Optional from typing import Dict from typing import List def get_csv_counts( file: Union[str, Path], separator: Optional[str] = None ) -> Dict[int, List[str]]: """ Get groups of semantically consistsent csv lines. i.e. same number of...
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def resize_string(in_str, target_size, filler_char='a'): """ Resizes a string to its new size. """ new_string = in_str[:target_size] new_string += filler_char * (target_size - len(new_string)) return new_string
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def gamma_encode(x): """Converts RGB data to `viewable values <https://en.wikipedia.org/wiki/Gamma_correction>`_.""" return x**(1/2.2)
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from typing import Any import requests def get_url(url: str, params: Any = None, proxies: Any = None) -> str: """ Request for given url and return text :param url: url :param params: parameter series :param proxies: use proxies or not, default None :return: text of content in the given url ...
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from pathlib import Path from typing import Dict from typing import Any from typing import IO import json from typing import OrderedDict def read_json(fname: Path) -> Dict[str, Any]: """ Reads JSON file. Parameters ---------- fname : pathlib.Path File path to the JSON file in question. ...
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def validate_ascii_domain(domain_str): """ Validates ASCII domain str is compliant :param domain_str: :return: True for Compliant, False for non-compliant. """ domain_chars = set('abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789-_.') return set(domain_str).issubset(domain_char...
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def process_primary_inputs(dict_): """ This functions processes the parameters specified by the user in the initialization dictionary. Parameters ---------- dict_: dict Estimation dictionary. Returned by grmpy.read(init_file). Returns ------- bins: int Number of his...
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import yaml def transformation_results_yaml(topology,ignore=('addressing','defaults','nodes_map','includes')): """ Return the results of topology transformation YAML format * Remove elements that are not relevant for comparison * Create YAML text out of the remaining dictionary """ for k in ignore: t...
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def getImName(image_path,folder_path): """ get image name by clean up image path Parameters: -image_path: path of image in the folder -folder_path: path of folder that contain images Returns: -name: name of the image """ name = image_path.replace(folder_path.replace("/*.j...
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def average_heart_rate(heart_rates): """Calculate the average of a list of heart rates Args: heart_rates (list): a list of heart rates Returns: float: the average heart rate """ # Compute sum and length of the input list hr_sum = sum(heart_rates) hr_length = len(heart_rate...
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def difference(li1, li2): """Difference of two lists.""" return list(list(set(li1)-set(li2)) + list(set(li2)-set(li1)))
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def unescape(inp, char_pairs): """Unescape reserved characters specified in the list of tuples `char_pairs` Parameters ---------- inp : str Input string Returns ------- str Unescaped output See also -------- escape_GFF3 """ for rep...
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def response_parser(response): """ Parse response from json to dict. If an error in the response data an exception is raised """ try: data = response.json() except ValueError: raise Exception( "'response' is not JSON serializable: '{}'".format(response.text) ...
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def get_inputs( filename ): """ The input file contains the starting decks of each player. This function returns a list of lists of their decks. """ with open( filename, 'r' ) as input_file: raw_data = input_file.read().split('\n\n') decks = [] for num, raw_deck in enumerate(raw_dat...
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def printNamespaces(params: dict = {}) -> str: """Get string of list of namespaces Args: params: dict of params containing the namespaces Returns: str: string of namespaces """ namespaces = params["namespaces"] res: str = "" for uri in namespaces: if uri[-1] != "#"...
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import copy def flip(info): """ Flip horizontally a heatmap info :param info: dict, heatmaps info :return: dict, heatmaps info (copy) """ info = copy.deepcopy(info) for cwh in info['cwh_list']: c_x, c_y = cwh['center'] cwh['center'] = (info['img_width'] - c_x, c_y) r...
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def find_subset_sum(values, target): """ Find a subset of the values that sums to the target number This implements a dynamic programming approach to the subset sum problem Implementation is taken from: https://github.com/saltycrane/subset-sum/blob/master/subsetsum/stackoverflow.py @param values: L...
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from pathlib import Path def _write_source_to_file(path: Path, source: str) -> str: """Write source code to a file, returning a string of its path.""" with open(path, "w", encoding="UTF-8") as file: file.write(source) return str(path)
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def get_price(data, key): """Extracts a price as a float from some data Args: data (dict): the data containing the price key (str): the key of the target price. Returns: float: the price as a float. When the dictionary is missing the requested key, returns :obj:`None` ...
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def get_children(node): """ Retrieve the children (and their dict keys or list/tuple indices) of an ASDF tree node. Parameters ---------- node : object an ASDF tree node Returns ------- list of (object, object) tuples list of (identifier, child node) tuples, or empt...
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def get_parent_path(full_path): """ Return parent path for full_path""" parent_path, node_name = full_path.rstrip('/').rsplit('/',1) # rstrip in case is group (ending with '/') if parent_path == "": parent_path = "/" return parent_path
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def _indent(text, amount, ch=' '): """Return the indent text, where each line is indented by `amount` characters `ch`.""" padding = amount * ch return ''.join(padding + line for line in text.splitlines(True))
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import inspect def call_with_dictionary(fn, kwargs): """ Call a function by passing elements from a dictionary that appear in the function signature """ parameters = inspect.signature(fn).parameters common = set(parameters) & set(kwargs) sub_kwargs = {k: kwargs[k] for k in common} retu...
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from typing import Dict from typing import Union def deserialize_boolean_options(options: Dict) -> Dict[str, Union[str, bool]]: """Converts strings in `options` that are either 'True' or 'False' to their boolean representations. """ for k, v in options.items(): if isinstance(v, str): ...
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from typing import Dict from typing import Any import operator from functools import reduce def from_dot_notation(field: str, obj: Dict[Any, Any]) -> Any: """ Method to retrieve a value from the configuration using dot-notation. Dot-notation means nested fields can be accessed by concatenating all the parents...
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def compute_survival_rate(sMC_particle_ancestries): """ compute the time-series survival rate as a function of resamples Parameters ---------- sMC_particle_ancestries : dict of {_direction : list(np.array(ints))} dict of the particle ancestor indices Returns ------- survival_ra...
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import six def SetBuildArtifacts(images, messages, release_config): """Set build_artifacts field of the release message. Args: images: dict[str,dict], docker image name and tag dictionary. messages: Module containing the Cloud Deploy messages. release_config: apitools.base.protorpclite.messages.Messa...
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import re def filter_values_by_param(vcard, key, param_key, param_value): """ Return a list of values collected for vcard and filtered by parameters. arguments: vcard -- the vcard to read from key -- the attribute key to collect values for param_key -- the name of the paramete...
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