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def get_vf_res_scale_down(width: int, height: int, res_limit='FHD', vf: str = '') -> str: """generate 'scale=<w>:<h>' value for ffmpeg `vf` option, to scale down the given resolution return empty str if the given resolution is enough low thus scaling is not needed""" d = {'FHD': (1920, 1080), 'HD': (1280, 7...
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def get_line_nr(view, point): """Return 1-based line number for `point`. """ return view.rowcol(point)[0] + 1
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def prepare_csv(element, delimiter=';'): """ Receives a tuple ('CE',2015,11, 0.4, 21.0) Return a limited string "CE;2015;11;0.4;21.0" """ return f"{delimiter}".join(element)
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def checksave(save_all, pix_list, save_ratio, save_count_annotated, save_count_blank): """ Checks whether or not an image chip should be saved :param save_all: (bool) saves all chips if true :param pix_list: list of pixel values in image mask :param save_ratio: ratio of annotated chips to unannotate...
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import pytz def build_tzinfo(tzname, tzsign='+', tzhour=0, tzmin=0): """ create a tzinfo instance according to given parameters. tzname: 'Z' ... return pytz.UTC '' | None ... return None other ... return pytz.FixedOffset """ if tzname is None or tzname == '': r...
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def modinv(a, b): """Returns the modular inverse of a mod b. Pre: a < b and gcd(a, b) = 1 Adapted from https://en.wikibooks.org/wiki/Algorithm_Implementation/ Mathematics/Extended_Euclidean_algorithm#Python """ saved = b x, y, u, v = 0, 1, 1, 0 while a: q, r = b // a, b % a ...
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import pickle def unpickle_data(filename): """ load the metrics from a file """ with open(filename, 'rb') as handle: obj = pickle.load(handle) return obj
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def _get_bin(value, bins): """Returns the smallest index i of bins so that bin[i][0] <= value < bin[i][1], where bins is a list of tuples, like [(0,20), (20, 40), (40, 60)] """ for i in range(0, len(bins)): if bins[i][0] <= value < bins[i][1]: return i return -1
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def compute_multipliers(tokens): """ Determine the multiplier based on the tokens at the end of a number (e.g. million from "one thousand five hundred million") """ total = 1 for token in tokens: value, label = token total *= value return total
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def format_interconnector_loss_coefficients(INTERCONNECTORCONSTRAINT): """Re-formats the AEMO MSS table INTERCONNECTORCONSTRAINT to be compatible with the Spot market class. Examples -------- >>> INTERCONNECTORCONSTRAINT = pd.DataFrame({ ... 'INTERCONNECTORID': ['X', 'Y', 'Z'], ... 'LOSSCONSTA...
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from urllib.parse import urljoin def safe_join(base, *paths): """ A version of django.utils._os.safe_join for S3 paths. Joins one or more path components to the base path component intelligently. Returns a normalized version of the final path. The final path must be located inside of the base pa...
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def get_multiplexer(num): """ Get max decimal multiplexer. """ m = 1 while num % 10 == 0: num = num / 10 m *= 10 return m
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def max_acc(zmax,T,f0): """ To obtain the maximum acceleration 'detectable' by PRESTO. zmax - (expected) maximum number of Fourier bins that the pulsar frequency f0 drifts T - observation duration (s) f0 - pulsar's frequency (Hz) """ c = 299792458 #speed of light in m/s return zmax...
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def calculate_precision_recall(tp_totals, fp_totals, fn_totals): """ Calculate list of precision and recall values from lists of true pos., false pos., false neg. values. """ precision = [tp / (tp+fp) if (tp+fp)>0 else 0 for (tp, fp) in zip(tp_totals, fp_totals)] recall = [tp / (tp+fn) if (tp+f...
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import cmath def explt(l, t): # pragma: no cover """Complex exponenital as used in solution to schrodinger equation. """ return cmath.exp((-1.0j * t) * l)
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import math def liters_to_bars(liters, bottle_size, round=False): """returns the bars corresponding to a given volume in a given bottle_size in liters""" if round: return math.ceil(liters / bottle_size) else: return liters / bottle_size
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def contains(a1,a2,b1,b2): """ Check whether one range contains another """ return ((a1 >= b1) & (a2 <= b2))
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def index(lst, trunc): """ Converts an n-ary index to a 1-dimensional index. """ return sum([lst[i] * trunc**(len(lst)-i-1) for i in range(len(lst))])
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def _get_column_index(i, inputs): """ Taken from https://github.com/onnx/sklearn-onnx/blob/9939c089a467676f4ffe9f3cb91098c4841f89d8/skl2onnx/common/utils.py#L50. Returns a tuples (variable index, column index in that variable). The function has two different behaviours, one when *i* (column index) i...
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import collections def from_cards(cards, sideboard=()): """ Create a deck from an iterable of cards with an optional sideboard. * cards : an iterable of cards * sideboard : an optional iterable of cards for the deck's sideboard """ return { u"cards" : collections.Counter(card.name f...
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def getSessionTypes(assoc_type): """Return the allowed session types for a given association type""" assoc_to_session = { 'HMAC-SHA1': ['DH-SHA1', 'no-encryption'], 'HMAC-SHA256': ['DH-SHA256', 'no-encryption'], } return assoc_to_session.get(assoc_type, [])
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from typing import Dict from typing import Any from pathlib import Path import json def read_json_data_from_file(data_path: str, encoding: str = 'utf-8'): """Reads the contents of a json file into a dict object. Args: data_path (str): Path to the file. encoding (str): Inspected encoding of th...
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def _read_name_charge(data): """ Build the species dictionary relating ChemKin name to charge. If the charge is missing for a given species, the dictionary element will be set to zero, assuming a neutral species. :param data: information from input species.csv file :type data: panda...
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import torch def normalize_embeddings(embeddings: torch.Tensor, epsilon: float = 1e-6) -> torch.Tensor: """ Normalize N D-dimensional embedding vectors arranged in a tensor [N, D] Args: embeddings (tensor [N, D]): N D-dimensional embedding vectors epsilon (float): minimum value for a vect...
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def get_attrib_url(attrib): """ Create a string suitable for a URL from the dict attrib """ tag_string = '='.join([attrib['name'], attrib['value']]) return tag_string
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def vLength(v): """ Return Vector length """ return (v[0]*v[0] + v[1]*v[1] + v[2]*v[2]) ** 0.5
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def populate_metadata(case, config): """ Provide some top level information for the summary """ return {"Type": "Summary", "Title": "Performance", "Headers": ["Proc. Counts", "Mean Time Diff (% of benchmark)"]}
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def merge_endpoints(defaults, additions): """ Given an existing set of endpoint data, this will deep-update it with any similarly structured data in the additions. :param defaults: The existing endpoints data :type defaults: dict :param defaults: The additional endpoints data :type default...
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def get_sep_type(input_lines): """ Return the Content-Type of the input. "text/plain" is the default. Return ``None`` if the input is not a SEP. """ sep_type = None for line in input_lines: line = line.rstrip().lower() if not line: # End of the RFC 2822 header (first...
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def bow(lst_mots): """ Transforme une liste de mots en dictionnaire bag of words qui associe chaque mot à son nombre d'occurence dans le texte. Entrée : une liste de mots (et de liens) Sortie : le dictionnaire bag of words """ d = { s : lst_mots.count(s) for s in set(lst_mots) } return d
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def scrub(content): """Replaces triple back ticks with triple grave accents.""" return content.replace( "\N{GRAVE ACCENT}" * 3, "\N{MODIFIER LETTER GRAVE ACCENT}" * 3 )
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from typing import OrderedDict def dict_isect(*args): """ Dictionary set extension for :func:`set.intersection` Constructs a dictionary that contains keys common between all inputs. The returned values will only belong to the first dictionary. Args: *args (List[Dict[KT, VT] | Iterable[KT...
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def get_rules(rest_client): """ api call to get all rules for the resilient organization :param rest_client: :return: json formatted rule list """ url = "/actions" return rest_client.get(url)
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def extract_data(env): """Extracts the data from the envment of a POST request.""" try: length = int(env.get('CONTENT_LENGTH', '0')) except ValueError: length = 0 if length != 0: return env['wsgi.input'].read(length) return ""
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import re def parse_show_ip_bgp(raw_result): """ Parse the 'show ip bgp' command raw output. :param str raw_result: vtysh raw result string. :rtype: dict :return: The parsed result of the show ip bgp command in a \ list of dictionaries of the form: :: [ { ...
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def engine_version(connection): """ Return string representation of oVirt engine version. """ engine_api = connection.system_service().get() engine_version = engine_api.product_info.version return '%s.%s' % (engine_version.major, engine_version.minor)
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def list_get(list_obj, index, default=None): """Like ``.get`` for list object. Args: list_obj (list): list to look up an index in index (int): index position to look up default (Optional[object]): default return value. Defaults to None. Returns: object: any object found at ...
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def moving_averages(df, start_step, window_size=None): """Compute averages of every feature over moving time windows. Args: df (Dataframe): Input features as a dataframe start_step (Integer): Starting time step of rolling mean window_size (Integer): Windows size of rolling mean Ret...
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def _plot_overlay_pointcloud(fig, pointcloud, name: str, marker_color: str, **kwargs): """Overlay the plot with another pointcloud. Args: fig (plotly.graph_objects.Figure): The original plot. pointcloud (PointCloud): The PointCloud to overlay. name (str): Name of the pointcloud to overl...
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def __check_md(res, cond, msg): """ Helper function used to validate metadata. If cond is false, return False, and display message """ if not cond: print("Metadata validation failed: '{}'".format(msg)) return False return res
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def need_blank(opt, lines): """Helper function to get blank line flag. Returns True if: * ``opt`` is ``True`` * ``opt`` is ``None`` and ``lines`` has more than one line. Args: opt: Option. lines: Block lines. Returns: Boolean value. """ return opt is True or (...
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import typing import re def dedupilicate(value: str, existing_values: typing.Iterable[str]): """ If <value> is present in <existing_value>, returns '<value>(1)'. If '<value>(1)' is present in <existing_values>, returns '<value>(2)' and so on. A typical use would run <value> through this function and then ...
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def secure_compare(actual, expected): """ Returns True if the two strings are equal, False otherwise The time taken is dependent on the number of characters provided instead of the number of characters that match. When we upgrade to Python 2.7.7 or newer, we should use hmac.compare_digest instea...
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import base64 def b_to_b64s(b: bytes) -> str: """convert bytes to base 64 string :param b: input bytes :type b: bytes :return: output base 64 string :rtype: str """ b64s = base64.b64encode(b).decode('utf8') return b64s
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def generate_one_or_none(generator, enforce=True): """ Return first item from a generator. Optionally check that nothing else was generated. Return None if nothing was generated. """ result = None for item in generator: result = item break if enforce: for item i...
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def pytest_funcarg__confoverrides(request): """ Confoverrides for the current test as dict, extracted from the keyword arguments to the ``confoverrides`` marker. """ confoverrides_marker = request.keywords.get('confoverrides') if confoverrides_marker: return confoverrides_marker.kwargs ...
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def predicateFormat(predType, *values): """ .. versionadded:: 0.3.0 Converts inputs into predicates, creating examples and facts in predicate- logic format. :param predType: The action which relates one or more values. :type predType: str. :param \*values: Values which are related to one a...
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def readFile(fullPathToFile): """A generic function to read the content of a file. Args: fullPathToFile: The full filename for the file Return: The content """ fileHandler = open(fullPathToFile, "r") content = fileHandler.read() fileHandler.close() return content
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import hashlib from pathlib import Path def get_md5(path: Path): """ Get the MD5 value of a path. """ with path.open("rb") as fin: data = fin.read() return hashlib.md5(data).hexdigest()
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def convert2MSAcenter(xin, yin, xtin, ytin, arcsec): """ This function is a python translation of Tonys IDL equivalent function. It converts the measured coordinates of each star into the frame relative to the center of the MSA. Args: xin: numpy array of the measured V2s yin: numpy array...
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def name_from_scope_name(name): """Returns the name of an op given the name of its scope. Args: name: the name of the scope. Returns: the name of the op (equal to scope name minus any trailing slash). """ return name[:-1] if (name and name[-1] == "/") else name
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def align(text, size, char=" "): """ Format text to fit into a predefined amount of space Positive size aligns text to the left Negative size aligns text to the right """ text = str(text).strip() text_len = len(text) if text_len > abs(size): text = f"{text[:size-3]}..." offset = "".join(char * (abs(size)...
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def generate_manifest_table_name( database_name, base_table_name, import_source, export_source ): """Returns the qualified manifest table name. Arguments: database_name (string): The name of the database base_table_name (string): The base name of the table import_source (string): "s...
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import requests def get_file(url): """ Download file without saving from url and return the bytes """ return requests.get(url)
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def nipsa_filter(userid=None): """Return an Elasticsearch filter for filtering out NIPSA'd annotations. The returned filter is suitable for inserting into an Es query dict. For example: query = { "query": { "filtered": { "filter": nipsa_filter(), ...
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def nestList(f,x,n): """ return [x,f(x),f(f(x)),...,f(f(...f(x)))] [nest(f,x,0) to nest(f,x,n)] """ result = [x] for i in range(n): x = f(x) result.append(x) return result
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def combine_name(name1, name2): """ Function used to combine team and project name """ return f'{name1} ({name2})'
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def swap_upstairs_list(id1, id2, li): """Swap list element id1 with the next until reaches id2 (id1 < id2).""" for i in range(id2 - 1, id1 - 1, -1): li[i], li[i+1] = li[i+1], li[i] return li
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def _traverse(graph, node, visited=[]): """Returns list of all direct/indirect adjacent nodes for a given node""" nodes = [] if node in visited: return nodes visited.append(node) nodes.append(node) for adjacent in graph[node]: nodes.extend(_traverse(graph, adjacent)) return n...
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import requests def query_graph(url: str, query: str) -> dict: """Helper methods for querying graphql api. [Source: https://thegraph.com/en/] Parameters ---------- url: str Endpoint url query: str Graphql query Returns ------- dict: Dictionary with response da...
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def bytes_adapter(obj, request): """Convert bytes objects to strings for json error renderer.""" if isinstance(obj, bytes): return obj.decode('utf8') return obj
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def split_component_view(arg): """ Split the input to data or subset.__getitem__ into its pieces. Parameters ---------- arg The input passed to ``data`` or ``subset.__getitem__``. Assumed to be either a scalar or tuple Returns ------- selection The Component sel...
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def decompressish(s): """ returns tuple (X, S) where X is the size of the decompressed parts, and S is the remaining string to decompress """ count = 0 while s[0] != '(': count += 1 s = s[1:] if len(s) == 0: return (count, "") s = s[1:...
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def merge(L1, L2): """Merge to sorted lists into a sorted list""" i = 0 j = 0 res = [] while i<len(L1) and j<len(L2): if L1[i] < L2[j]: res.append(L1[i]) i += 1 else: res.append(L2[j]) j += 1 if i >= len(L1): res.extend(L2[j...
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def handy_ruler(pkg_name): """Create a handy ruler. Parameters: ---------- pkg_name : {str} Name of program Returns ------- list Returns single element list with 'handy ruler'. """ ruler_intend = len(pkg_name) * ' ' ruler_start = '|-----handy-ruler' # 17 chars ...
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def prettyprinter(d, indent=0): """Makes a string with nice formatting out of a dictionary""" s = '\n' for key, value in d.items(): s+='\t' * indent + str(key) + ':' + '\t' + str(value) + '\n' return s
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def get_diff(instrs): """Returns a list of triplets of the form (ea, orig, new).""" diff = [] for ins in instrs: for i, (orig, new) in enumerate(zip(ins.bytes, ins.cbytes)): if orig != chr(new): diff.append((ins.addr + i, orig, chr(new))) return diff
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import struct def _decode_plen(reader): """ Reads and decodes event's payload length. Parameters ---------- reader : apptrace.Reader Trace reader object. Returns ------- int decoded value. """ plen = 0 b0, = struct.unpack('<B', reader.read(1)) if b0 & ...
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from warnings import warn def reshape_data(data, shape): """ Reshape data or return 1D data after warning. """ try: return data.reshape(shape) except ValueError: warn(str(data.shape) + "cannot be shaped into" + str(shape)) return data
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import torch def rotmat(a,b): """ Adapted from http://www.netlib.org/templates/matlab/rotmat.m Compute the Givens rotation matrix parameters for a and b. """ c = torch.zeros_like(a) s = torch.zeros_like(a) temp = torch.zeros_like(a) mask = (b.abs()>a.abs()) temp[mask] = a[mask] / b[mask] s[mask] = 1.0 / t...
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def calculate_performance(tps, fps, fns, tns): """ Calculate the performance/evaluation metrics given the confusion matrix (TP, FP, FN, TN) The evaluation metrics are: Recall/Sensitivity, Precision, Specificity, F1-score, F0.5-score, F1-recall-specificity, F0.5-recall-specificity. """ recall, pr...
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def neighboursList(data): """ Return the same dataframe containing the list of neighbors for each junction. Parameters: ----------- data: pandas dataframe data must contain at least one column named neighbors. Returns: -------- data: pandas dataframe The input data b...
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import math def exponential_easein(pos): """ Easing function for animations: Exponential Ease In """ if pos == 0: return pos return math.pow(2, 10 * (pos - 1))
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import hashlib def hash_file(fn): """ Compute a SHA-256 hash for the file fn and return a hexdigest of the hash """ sha = hashlib.sha256() with open(fn, "rb") as f: while True: data = f.read(65536) if not data: break sha.update(data) return...
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def get_synopsis_from_soup(soup): """Get the synopsis from a book page. Parameters ---------- soup : BeautifulSoup BeautifulSoup object created from a book page. Returns ------- str Book synopsis. None Synopsis not found. """ try: return soup.fin...
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def trunc(x): """Implementation of `trunc`.""" return x.__trunc__()
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def format_instances(instances, features): """ Convert a list of instances into a header list and datarows list. `header` is just `features` e.g. ['username', 'email'] `datarows` is a list of lists, each sublist representing a row in a table e.g. [['username1', 'email1@email.com'], ['username2'...
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def find_range_ix_in_point_list(start, end, point_list): """Returns the index range all points inside the given range. Parameters --------- start : float The start of the desired range. end : float The end of the desired range. point_list : sortedcontainers.SortedList A ...
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def nice_bytes(number, lang='', speech=True, binary=True, gnu=False): """ turns a number of bytes into a string using appropriate units prefixes - https://en.wikipedia.org/wiki/Binary_prefix spoken binary units - https://en.wikipedia.org/wiki/Kibibyte implementation - http://stackoverflow.com/a/1094...
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def _get_go2nt(goids, go2nt_all): """Get user go2nt using main GO IDs, not alt IDs.""" go_nt_list = [] goids_seen = set() for goid_usr in goids: ntgo = go2nt_all[goid_usr] goid_main = ntgo.id if goid_main not in goids_seen: goids_seen.add(goid_main) go_nt_...
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import csv def read_csv_to_dictionary(csvfile, delimiter=';'): """Reads a csv file and returns a dictionary with the respective keys specified in the first row of the csv file. Parameters ---------- csvfile : str The path to csv file. delimiter : str, optional The character us...
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def hidden_field(key, value): """ Generates a hidden field from the given key and value """ return f'<input type="hidden" name="{key}" value="{value}">'
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def IsValid(G,degree): """ Method checks if a graph is valid, i.e. the real degree of the vertices matches the character in the lgi-string. G -- Graph. degree -- Expected degree Return: True if all degrees match the character in the string. """ for idx in range(G.number_of_n...
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def mm2cin(arg): """ Convert millimeters to 1/100 in. Arguments: arg: Number or sequence of numbers. Returns: Converted number or sequence. """ if not type(arg) in [list, tuple]: return float(arg) * 100.0 / 25.4 return [float(j) * 100.0 / 25.4 for j in arg]
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import logging def time_difference(h1:int, m1:int, s1:int, h2:int, m2:int, s2:int=0) -> int: """ Description: function get difference between 2 times times Arguments: h1 {int} : integer which contains the value of the current hour m1 {int} : integer which contains the value of ...
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def _augment_segmentation_maps(self, segmentation_maps, random_state, parents, hooks): """ Augment multiple segmentation maps. This is the internal variation of `augment_segmentation_maps()`. It is called from `augment_segmentation_maps()` and should usually not be called directly. It has to be...
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from typing import OrderedDict def expand_src_param(values, shp_params): """ Expand hazardlib source attribute (defined through list of values) into dictionary of shapefile parameters. """ if values is None: return dict([(key, None) for key, _ in shp_params]) else: num_values =...
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def _conv_type(s, func): """Generic converter, to change strings to other types. Args: s (str): String that represents another type. func (function): Function to convert s, should take a singe parameter eg: int(), float() Returns: The type of func, otherwise str ""...
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def imageAddReversed(imgs: list): """Make a loop by adding a reverst set of images to the back of the input list.""" temp = imgs.copy() temp.reverse() imgs_reversed = imgs.copy() imgs_reversed.extend(temp) return imgs_reversed
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def handle_discover_response(msg): # pylint: disable=useless-return """Process an internal discover response message.""" msg.gateway.is_sensor(msg.node_id) return None
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import re def middle_name_initials(middle_name): """ Given a middle name value parse it to middle initials Example inputs: S, S., Smith, Smith Doe, Smith-Doe, S-D, S D, SD, S.D., S. D. Example outputs: S, S, S, SD, S-D, S-D, SD, SD, SD, SD """ initials = "" # Keep onl...
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import json import base64 def decode_transaction_base64(value): """Decode a transaction from Base64.""" return json.loads(base64.b64decode(value.encode('utf8')).decode('utf8'))
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import uuid import base64 def decode(slug): """ Returns the uuid.UUID object represented by the given v4 or "nice" slug """ return uuid.UUID(bytes=base64.urlsafe_b64decode(slug + '=='))
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def five(ls): """ returns first five of list """ return ls[:5]
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import torch def radial_gaussian(distances, r0s, alpha=1.): """ Evaluates Gaussians on the radial values of the distances. """ gauss_arg = distances.unsqueeze(-1) - torch.unsqueeze(r0s, dim=-2) basis_fxn = torch.exp(-alpha * gauss_arg**2) return basis_fxn
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import inspect def view_namespace(view, cls_name=None): """ Create the namespace from the view :param view: object (class or instance method) :param cls_name: str - To pass the class name associated to the view in the case of decorators that may not give the real class name :return: st...
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def get_choice_from_cli(options, repeat_until_correct=True, return_key=False, title="Select one option from the list:", prompt="Selection > ", redo_text="Not a valid selection, try again."): """ l...
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import requests def make_request(endpoint, payload=None): """ Make a request to a specific endpoint on the weather API passing headers and optional payload. Parameters: - endpoint: The endpoint of the API you want to make a GET request to. - payload: A diction...
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from typing import OrderedDict import inspect def inspect_fn(fn): """ Inspect arguments of a function Args: fn: a function to inspect Returns: - an ordered dict with arguments and defaulted values """ args = OrderedDict() signature = inspect.signature(fn) for key, val...
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import json def get_run_json(source: str): """Get the json resultant of a run""" with open(source) as fd: # File is a one liner for line in fd: return json.loads(line)
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