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import re def get_link_destinations(chunk): """Find any target of a link in HTML code Use regex to find tags with the id or name attribute, which makes them a possible target of a link :param str chunk: text string :return: destinations, destination_tags :rtype: Tuple[list[str], list[str]] ""...
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def getRemainingFiles(movedFileList, allFiles): """ Make a diff between the moved files and all files """ # loop over all entries and remove those that are in the movedFileList for file in movedFileList: for i in range(len(allFiles)): if file == allFiles[i]: del allFiles...
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import os def grab_predict_label3d_file(defaultdir=""): """ Finds the paths to the training experiment yaml files. """ def_ep = os.path.join(".", defaultdir) label3d_files = os.listdir(def_ep) label3d_files = [ os.path.join(def_ep, f) for f in label3d_files if "dannce.mat" in f ] ...
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import csv def get_bc_reg_corps_csv(): """ Check if all the BC Reg corps are in orgbook (with the same corp type) """ bc_reg_corp_types = {} bc_reg_corp_names = {} bc_reg_corp_infos = {} with open('export/bc_reg_corps.csv', mode='r') as corp_file: corp_reader = csv.DictReader(corp_...
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import re def validateBranch(branch): """ Check that branch/label contains only valid characters """ if not re.match(r'\w[\w\._]+$', branch): return False return True
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import re def class_name2module_name(class_name): """ python 的模块名改为类名 DemoPipeline -> demo_pipeline """ pattern = re.compile(r'([A-Z]{1})') return re.sub(pattern, r'_\1', class_name).lower().replace('_', '', 1)
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def estimated_sp(vests): """Convert VESTS to SP units for display.""" return vests * 0.0005034
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def _get_top_values_categorical(series, num_x): """Get the most frequent values in a pandas Series. Will exclude null values. Args: column (pd.Series): data to use find most frequent values num_x (int): the number of top values to retrieve Returns: top_list (list(dict)): a list of ...
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import math def cosine_rule(v_original: float, v_target: float, angle_dif: int) -> float: """Apply the cosign rule to compute the Delta-V needed to transfer from one velocity to another with a difference in angle. Args: v_original: the original velocity. v_target: the target velocity. ...
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def generate_json_tokens(valid_tokens): """ input: list of valid question tokens output: string rep. of the json store """ arr_str = "[" for tok in valid_tokens: arr_str += " \"%s\", " % tok arr_str = arr_str[:-2] arr_str += "]" return arr_str
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import re def as_fuse_id(shader_name,shader_id): """ Derive an identifier from shader_name. Remove whitespace, leading digits, special characters, etc to make something that can be used as an identifier out of `shader_name`. Such an identifier is in particular what's needed as the first parametert to `FuRegi...
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def simple_linear_regression(x, y, return_fitted=False): """Closed form solution for single variable least square regression """ n = len(x) x_mean = x.mean() y_mean = y.mean() a = ((x*y).sum() - n*x_mean*y_mean) / ((x*x).sum() - n*x_mean*x_mean) b = y_mean - a*x_mean if return_fitted: ...
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def next_frame_prediction(generator, input_tensor): """Just one forward pass through the generator""" output_tensor = generator.inference(input_tensor, None, None) return output_tensor
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def testfunctionWithReturn(varA, varB, varC): """ Some basic description :param varA: description :param varB: description :param varC: description :type varA: type description :type varB: type description :type varC: type description :return: return description :rtype: the return type description """ retu...
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def _mark_settled(req, courses): """ Finds and marks all courses in 'courses' that have been settled to this requirement. """ num_marked = 0 for sem in courses: for c in sem: if len(c["reqs_satisfied"]) > 0: # already used in some subreq continue i...
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def convertFloat(s): """Tells if a string can be converted to float and converts it Args: s : str Returns: s : str Standardized token 'FLOAT' if s can be turned to an float, s otherwise""" try: float(s) return "FLOAT" except: return s
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def readInfoFile(info_file): """Transform dax info file to dictionary format""" #ensure appropriate extension ext = info_file.split('.')[-1] if ext=='dax': info_file=info_file.replace('.dax','.inf') lines = [ln for ln in open(info_file,'r')] dic={} for ln in lines: split...
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def mirror_path(fn): """Simply replicate the source path in the build directory""" return fn
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def argset(name, *args, **kwargs): """ Decorator to add sets of required mutually exclusive args to subcommands. """ def _arg(f): if not hasattr(f, '_subcommand_argsets'): f._subcommand_argsets = {} f._subcommand_argsets.setdefault(name, []).append((args, kwargs)) ret...
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import numpy as np def deplete_profile(A, B, C, r): """ Profile to dilute the number of pixels in rings. """ dilute = 1 - A*np.exp(-B*np.exp(-C*r)) return dilute
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def census_count( df, group2=None, weight="person_weight", normalize=False, total=None, drop=True ): """ Counts the total number of the given data in each PUMA / Calculates percentage of the given data in each PUMA Parameters ---------- df : DataFrame/GeoDataFrame ...
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def yolo_detection(cv2_img, tfnet): """yolo""" max_area = None max_tlxy = None max_brxy = None cropped_img = None results = tfnet.return_predict(cv2_img) print('origin', cv2_img.shape) for result in results: tl = [result['topleft']['x'] * 0.75, result['topleft']['y'] * 0.75] ...
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def clip_overflow(textblock, width, side='right'): """Clips overflowing text of TextBlock2D with respect to width. Parameters ---------- textblock : TextBlock2D The textblock object whose text needs to be clipped. width : int Required width of the clipped text. side : str, optio...
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def perc_bounds(percent_filter): """ Convert +/- percentage to decimals to be used to determine bounds. Parameters ---------- percent_filter : float or tuple, default None Percentage or tuple of percentages used to filter around reporting irradiance in the irr_rc_balanced function. ...
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def isSpecialTrueType( glyph ): """ Fontforge treats three control characters as the special TrueType characters recommended by that standard """ e = glyph.encoding return e == 0 or e == 1 or e == 0xD
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def repair_too_short_phoneme(label, threshold=5) -> None: """ LABファイルの中の発声時刻が短すぎる音素(5ms未満の時とか)を修正する。 直前の音素の長さを削る。 一番最初の音素が短い場合のみ修正できない。 """ threshold_100ns = threshold * 10000 # 短い音素が一つもない場合はスルー if all(phoneme.duration >= threshold_100ns for phoneme in label): return None # 短...
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def linear(x0: float, x1: float, p: float): """ Interplates linearly between two values suchh that when p=0 the interpolated value is x0 and at p=1 it's x1 """ return (1 - p) * x0 + p * x1
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def extract_array_column(a, col): """Extracts a column from a tabular structure @type a: list/tuple @param a: an array of equal-sized arrays, representing a table as a list of rows. @type col: usually int or str @param col: the column key of the column to extract @rtype: list...
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import re def texifyterm(strterm): """Replace a term string with TeX notation equivalent.""" strtermtex = '' passed_term_Lchar = False for termpiece in re.split('([_A-Za-z])', strterm): if re.match('[0-9]', termpiece) is not None and not passed_term_Lchar: # 2S + 1 number ...
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import re def preProcessDocs(docList): """ Remove stop words and phrases Parameters ---------- dict : List DESCRIPTION. list of document contents Parameters ---------- docList : TYPE DESCRIPTION. Returns ------- newDocList : TYPE DESCRIPTION. ...
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import math def schaffer_function(transposed_decimal_pop_input): """Schaffer Test Function""" y = [] for individual in transposed_decimal_pop_input: shaffer = 0 parentheses = 0 for xi in individual: parentheses = parentheses + xi**2 term_1 = parentheses**0.25...
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def expand_aabb(left, right, top, bottom, delta_pixel): """ Increases size of axis aligned bounding box (aabb). """ left = left - delta_pixel right = right + delta_pixel top = top - delta_pixel bottom = bottom + delta_pixel return left, right, top, bottom
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def check_small_primes(n): """ Returns True if n is divisible by a number in SMALL_PRIMES. Based on the MPL licensed https://github.com/letsencrypt/boulder/blob/58e27c0964a62772e7864e8a12e565ef8a975035/core/good_key.go """ small_primes = [ 2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41, ...
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def getLSBParity(list): """given a list as input, return the parity of the LSBs in said list""" parity = 0 for item in list: parity = parity ^ (item % 2) return parity
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def uncompleted_task_on(line: str) -> bool: """Return whether there's an uncompleted task on the line.""" return bool(line.strip() and not line.startswith("x "))
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def calculate_costs(billing_info): """ Function to calculate various monthly and yearly costs of the cluster and container registry required to run a BinderHub. A contingency value is parsed from the command line in order to account for autoscaling. :param billing_info: a dict object containing the billing inf...
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import os def get_filename(path): """Returns the filename for a given path""" try: return os.path.split(path)[1] except IndexError: return path
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def retry(times, func, *args, **kwargs): """Try to execute multiple times function mitigating exceptions. :param times: Amount of attempts to execute function :param func: Function that should be executed :param args: *args that are passed to func :param kwargs: **kwargs that are passed to func ...
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from typing import List def clean_subpath_id_wp(db_name: str, subpath_id: str, pathway_list: List) -> str: """ Clean subpathway ids for WikiPathway pathways :param db_name: :param subpath_id: :param pathway_list: :return: """ if '{}:'.format(db_name) in subpath_id: return subpa...
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def process_problems(problems): """Inject styles, update image pathing into raw_content, produce final_content""" for pnum, contents in problems.items(): raw_content = contents['content_raw'] problem_description = raw_content.find('h2') problem_description['style'] = 'color: #6b4e3d;' ...
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def stateless_switch(switch_factory): """ Fixture that represents a simple on/off switch as a "state machine" with no initial state. """ return switch_factory()
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import hashlib def create(username, password): """ Create a hashed string of a password with username as the salt """ return hashlib.sha512(username + password).hexdigest()
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def left_semi_join(df_1, df_2, left_on, right_on): """ Pefrorm left semi join b/w tables """ left_merge = lambda df_1, df_2: df_1.merge( df_2, left_on=left_on, right_on=right_on, how="leftsemi" ) ## asserting that number of partitions of the right frame is always 1 assert df_2.n...
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import os def isroot(): """Checks if the script is executed as root returns: true if root, else false """ return os.geteuid() == 0
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def get_enum_name_from_repr_str(s): """ when read from config, enums are converted to repr(Enum) :param s: :return: """ ename = s.split('.')[-1].split(':')[0] if ename == 'None': ename = None return ename
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import torch import random def time_mask(align, replace_value=0.0, num_mask=2, T=20, max_ratio=0.2): """Time masking :param torch.Tensor align: input tensor with shape (B, T, D) :param int replace_value: the value to be replaced with :param int T: maximum width of each mask :param int num_mask: n...
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def sort_tuple_list(tuple_list:list): """sort_tuple Sort a list of tuple Sort tuple. Ref: https://www.geeksforgeeks.org/python-program-to-sort-a-\ list-of-tuples-by-second-item/ Args: tuple_list (list): a list of tuple """ tuple_list.sort(key = lambda x: x[0]) return tuple_list
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def get_per_difference(list1, list2): """list1 : quocient (base value)""" my_size = len(list1) my_range = list(range(0, my_size)) diff = [] if len(list2) != my_size: print('Error! lists have different sizes') exit() else: for i in my_range: diff.append([]) ...
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def is_palindrome_without_typecast(number): # This condition is defined by the problem statement """ # When num < 0, num is not a palindrome # Also if last digit is zero and number is not zero, it's not - since num can only be zero """ if number < 0 or (number % 10 == 0 and number != 0): ...
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import re def get_cluster_pool(project_id, region, client, selected_filters=None): """Gets the clusters for a project, region, and filters Args: project_id (str): The project id to use region (str): The region to use client (dataproc_v1beta2.ClusterControllerClient): The client that p...
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def indent(text: str, amount: int) -> str: """indent according to amount, but skip first line""" return "\n".join( [ amount * " " + line if id > 0 else line for id, line in enumerate(text.split("\n")) ] )
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def _set_default_if_empty_str(tst_str, default=None): """ Return None if str is an empty string or return str. Used to test for general options that reset with value of "" and reset to either None or the default value. Parameters: tst_str (:term:1string): the string to test for value ...
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def is_wgs_accession_format(contig_accession): """ Check if a Genbank contig is part of WGS (Whole Genome Shotgun) sequence :param contig_accession: Genbank contig accession (ex: CM003032.1) :return: True if the provided contig is in the WGS format """ wgs_prefix = contig_accession[:4] wgs...
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import sys def sanity_check_manifest(manifest): """ Nurse maid the users. """ manifest_keys = ['ldflags', 'static_args', 'name', 'native_libs', 'binary', 'modules'] old_manifest_keys = ['modules', 'libs', 'search', 'shared'] new_manifest_keys = ['main', 'binary', 'dynamic_args', 'lib_spec', 'mai...
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def build_empty_response(search_path, operation_name, service_model): """ Creates an appropriate empty response for the type that is expected, based on the service model's shape type. For example, a value that is normally a list would then return an empty list. A structure would return an empty dict...
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from hashlib import sha224 def create_path_for_genes_db(tissues): """Create almost-certainly unique path for a database which will contain information about genes having variant-egene pairs in given tissues.""" tissues_serialized = ','.join(tissues).encode('utf-8') tissues_hash_code = sha224(tissues...
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def merge_config(config, *argv): """ merge multiple configs """ cf = {} cf.update(config) for d in argv: cf.update(d) return cf
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def typed(expected_type, cls=None): """Base Type checker decorator. Args: expected_type: A Type (str, dict, list, etc) cls: A python class, subclassed from DescriptorBase Returns: cls: returns class """ if cls is None: return lambda cls: typed(expected_type, cls) ...
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import six def _to_text(obj, encoding): """ In Python3: Decode the bytes type object to str type with specific encoding In Python2: Decode the str type object to unicode type with specific encoding, or we just return the unicode string of object Args: obj(unicode|str|...
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def make_wide(df, cols): """ Pivot an ACS table. This function takes rows and pivots them to be columns. df: str cols: list. One or more values from the new_var column may be given as a list. This function takes those values (rows), reshapes, and returns them as columns in...
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def create_literal(val, datatype=None, lang=None): """ Put the value in unicode escaping new special characters to keep canonical form From NT specification at 'https://www.w3.org/TR/n-triples/#canonical-ntriples': "Within STRING_LITERAL_QUOTE, only the characters U+0022, U+005C, U+000A, U+000D are ...
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import threading def simple_thread(func): """ function with this decorator will be run in a new thread A thread pool should be used if run in large scale """ def simple_thread_wrapper(*args, **kwargs): t = threading.Thread(target=func, args=args, kwargs=kwargs) t.start() retu...
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import os def is_newer(path1, path2): """Check if `path1` is newer than `path2` (using mtime) Compare modification time of files at path1 and path2. Non-existing files are considered oldest: Return False if path1 does not exist and True if path2 does not exist. Return None for equal modificatio...
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def get_file_size(file_path): """ Get the size of a file in bytes. """ input_file = open(file_path, "rb") input_file.seek(0, 2) file_size = input_file.tell() input_file.close() return file_size
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def sentences(s): """Split the string s into a list of sentences. """ assert isinstance(s, str) pos = 0 sentence_list = [] l = len(s) while pos < l: try: p = s.index('.', pos) except: p = l + 1 try: q = s.index('?', pos) exc...
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from typing import List from typing import DefaultDict import random def predict_next_word(chain: List[str], transitions: DefaultDict[str, str], smpl_size: int) -> str: """"Поиск нового токена путем поиска по последнему токену в матрице возможных переходов""" last_state = "".join(chain[-(smpl_size - 1):]) ...
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def moeda(v=0, moeda='R$'): """ -> Função que formata os preços no formato moeda :param v: recebe preço a ser formatado :param moeda: recebe o tipo de moeda (padrão real) :return: retorna a o preço formatado """ return f'{moeda}{v:.2f}'.replace('.', ',')
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def solution(A, summed_value): # O(N^2) """ Write a function that will return the numbers used to add up to a certain value. >>> solution([-2, 0, 1, 3], 2) [(-2, 1, 3)] >>> solution([5, 1, 3, 4, 7], 12) [(1, 4, 7), (3, 4, 5)] >>> solution([1, 2], 3) ...
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def find_intersection(x1, y1, x2, y2, x3, y3, x4, y4): """ find_intersection will find the intersection point of two line segments when four coordinates are given for both line segments. It will return the intersection point as a tuple. :param x1: x-coordinate of vertex 1 in line 1 :param y1: y-coo...
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def _get_assignmentgroup_name(assigmentgroup): """ Returns a string containing the group members of the assignmentgroup separated by '-'. """ cands = assigmentgroup.get_candidates() cands = cands.replace(", ", "-") return cands
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def download_blob(client, bucket_name, source_blob_name): """Downloads a blob from the bucket.""" bucket = client.get_bucket(bucket_name) blob = bucket.blob(source_blob_name) b64_img = blob.download_as_string() return b64_img
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import numpy def quatArrayTDist(q,qarray): """computes the natural distance (Haar measure) for quaternions, q is a 4-element array, qarray is Nx4""" return numpy.arccos(numpy.minimum(1.0,numpy.abs(numpy.dot(qarray,q))))
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def mipmap_levels(base_width, base_height): """Return max number of mipmap for the size Args: base_width (int): Width source base_height (int): Height source Returns: int: Number of mipmap levels """ width = base_width height = base_height levels = 1 while widt...
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import subprocess def get_daemon_cids(): """return list of CIDs with pin types""" output = subprocess.check_output( ['docker-compose', 'exec', '-T', 'daemon', 'ipfs', 'pin', 'ls']) return [ '-'.join(l.split()[0:2]) for l in output.decode('utf-8').splitlines() ]
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def _format_2(raw): """ Format data with protocol 2. :param raw: returned by _load_raw :return: formatted data """ return raw[1:], raw[0]
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def _get_span_name(span): """Get span name by using instrumentation and kind while backing off to span.name """ instrumentation_name = ( span.instrumentation_info.name if span.instrumentation_info else None ) span_kind_name = span.kind.name if span.kind else None name = ( "{}...
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from typing import Sequence def _group_dimensions(expr: str) -> Sequence[str]: """Splits an expression into its separate grouped dimensions. An unqualified dimension index is a group by itself. Parentheses are interpreted as demarcating a sequence of dimension indices to be grouped into a single dimension. ...
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def add_form_default_values(): """ Change default form rendering on page load. Add default form values i.e. {'<variable name>': {'value': 10}} Ignore some of the input fields i.e. {'<variable name>': {'action': 'ignore'}} """ return {'ambient_temp_deg_c': {'action': 'update', 'value': 20}}
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def save_working_answers(assignment_id, data, r): """ save answered responses to redis data: string """ answers = list() for d in data: if d['type'] == 'final_answer': answers.append(d['value']) working_answers = ','.join(answers) key = assignment_id + '-working_ans...
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def transform0(self, f): """ pyspark does not have a transform before version 3... we need to add one to DataFrame. This is based on https://mungingdata.com/pyspark/chaining-dataframe-transformations/ """ return f(self)
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def _is_generic(cls) -> bool: """Return True if cls is a generic type. For example, List or List[int].""" if cls.__module__ != "typing": if not any(c.__module__ == "typing" for c in cls.mro()): return False params = getattr(cls, "__parameters__", ()) if params: return True ...
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from numpy import delete def monotonic_indices(T, MinTimeStep=1.0e-3): """Given an array of times, return the indices that make the array strictly monotonic.""" Ind = range(len(T)) Size = len(Ind) i = 1 while i < Size: if T[Ind[i]] <= T[Ind[i - 1]] + MinTimeStep: j = 0 ...
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def is_empty(xs): """Returns true if the given value is its type's empty value; false otherwise""" try: return len(xs) == 0 except TypeError: return False
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import copy def removeBuff(state, remBuff) : """Remove a buff to the state """ newState = copy.deepcopy(state) # Removes the buff from the list of buffs newState['player']['buff'] = [ b for b in newState['player']['buff'] if b[0]['name'] not in remBuff ] # Removes the potential remaining actio...
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def get_video_type(link): """ Takes a url and decides if it's Vimeo or YouTube. Returns None for unkown types. """ if 'vimeo.com/' in link: return 'vimeo' elif 'youtube.com/' in link or 'youtu.be' in link: return 'youtube' return None
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import os import re def batch_rename(movies_path): """ 在之前爬取及合并ts文件时,为防止重名,对文件名添加了随机数后缀,该函数用于批量重命名,删除该随机数后缀。 注意:mp4文件似乎大小写不敏感,大小写不一样的字符串也会视为重名。 :param movies_path: :return: """ if os.path.exists(movies_path): os.chdir(movies_path) files = set(os.listdir()) success, ...
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def velocities(snapshot): """ """ if snapshot._velocities is None: snapshot.load_details() return snapshot.velocity_direction * snapshot._velocities
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def set_recursive(config, recursive): """ set global recursive setting in config """ config['recursive'] = recursive return True
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import os import fnmatch def DepotToolsPylint(input_api, output_api): """Gather all the pylint logic into one place to make it self-contained.""" files_to_check = [ r'^[^/]*\.py$', r'^testing_support/[^/]*\.py$', r'^tests/[^/]*\.py$', r'^recipe_modules/.*\.py$', # Allow recursive search in recipe...
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def calc_average_precision(precisions, recalls): """Calculate average precision defined in VOC contest.""" total_precision = 0. for i in range(11): index = next(conf[0] for conf in enumerate(recalls) if conf[1] >= i/10) total_precision += max(precisions[index:]) return total_precision / ...
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import re def count_vowels(string): """Count the number of vowels in the given string. Keyword arguments: string -- The string to count the vowels Returns: A dictionary where the keys are the vowel """ # Create a dictionary with the vowels as keys vowels_dict = {'a': 0, 'e': ...
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import argparse def parse_args(): """ Parse the command line arguments. :return: An args dictionary with command line arguments. """ parser = argparse.ArgumentParser() parser.add_argument( "-f", "--filename", help="path to file with records to delete" ) parser.add_argument( ...
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def filter_duplicates(l): """ >>> filter_duplicates([{'a': 1}, {'b': 1}, {'a': 1}]) [{'a': 1}, {'b': 1}] """ def make_hashable(o): try: hash(o) return o except TypeError: return helper[type(o)](o) helper = { set: lambda o: tuple([make_...
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import os def set_config(): """ Return the name of the configuration file from the Enviromental variable or default name :return: Name of config file (String) """ if "LABELORD_CONFIG" in os.environ: return os.environ['LABELORD_CONFIG'] else: return 'config.cfg'
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import math def generate_sine(offset: float = 0, sine_range: float = 1, second: int = 0, second_range: int = 60): """Return the point along an optionally-transformed sine wave for a given second""" return sine_range * math.sin((second / second_range) * 2 *...
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def crible_eratosthene(n: int) -> list[int]: """ Renvoie tous les nombres premiers inférieurs à n en utilisant le crible d'Erastothène """ if n <= 1: return [] tableau = [(False if k % 2 == 0 else True) for k in range(n + 1)] tableau[1] = False tableau[2] = True for i...
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import numpy def calc_powder_iint_1d_ordered(f_nucl, f_m_perp, flag_f_nucl: bool = False, flag_f_m_perp: bool = False): """Calculated powderly averaged integrated intensity for ordered sublattice in equatorial plane (alpha=90 deg.) For details see documentation "Integrated intensity from powder diffra...
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import subprocess def get_commit_id() -> str: """Get current git commit hash. Returns: str: git commit hash. """ cmd = "git rev-parse --short HEAD" commid_id = subprocess.check_output(cmd.split()).strip().decode("utf-8") return commid_id
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import inspect import importlib def list_class_names(clz, package): """ Find sub-classes in a specific module and return their names Args: clz: the target superclass package: the module Returns: list of potential classes """ def isclz(obj): if inspect.isclass(obj): ...
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def despine_ax(ax=None): """ Remove spines and ticks from a matplotlib axis Parameters ---------- ax : matplotlib.axes.Axes object axes from which to remote spines and ticks. if None, do nothing Returns ------- ax : matplotlib.axes.Axes object despined ax object """...
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