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def get_position_by_substring(tofind, list): """ Get index where `tofind` is a substring of the entry of `list` :param tofind: string to find in each element of `list` :param list: list to search through :return: index in `list` where `tofind` is found as a substring """ for i, e in enumera...
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def add_sections(base_dict, new_tools): """ Take a base_dict (reference) containing a (reference) set of tools, and a set of new_tools. Add the missing section labels in the tools from the new_tools that are already in the base(reference) Also change the section_labels when the one in new_tools is n...
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def _get_creator(hardict): """ Get creator of HAR file. """ creator = hardict["log"]["creator"] return "%s %s%s" % (creator["name"], creator["version"], " (Comment: %s)" % creator["comment"] if creator.get("comment") else "")
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def classesMatch(annotation1, annotation2, equivalentClasses): """Checks if the classes match, considering 'equivalentClasses' and returns a boolean.""" if equivalentClasses == False: return True if equivalentClasses == None: if annotation1.annotationClass == annotation2.annotationClass: ...
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from datetime import datetime def to_iso(time_millis): """Converts the given time since epoch in millis to an ISO 8601 string""" return datetime.utcfromtimestamp(time_millis / 1000).isoformat()
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def Find_the_bbox(annotations): """ input: annotations -> the coco format annotations output: bbox -> a list of bbox cordinates , i.e:[0,155,23,56] """ bbox_0 = 1000 bbox_1 = 1000 bbox_2 = 0 bbox_3 = 0 for annotation in annotations: bbox_0 = int( min(...
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def _format_range(start, end): """ Build string for format specification. used by many commands, like delete, load, etc... :param start: :param end: :return: the string to be used for range in the command """ if start is None: return '' if end is None: return str(star...
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def prefix_to_items(items, prefix): """Add a prefix to the elements of a listing. For example, add "Base" to each item in the list. """ return ['{}{}'.format(prefix, x) for x in items]
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def employeeStatistic(employees, dayNum): """暴力破解""" if len(employees) == 1: return [0] ret = [] for i, n in enumerate(employees): tmpRes = 0 for j in range(i + 1, len(employees)): if employees[j] > n: tmpRes = j - i break ret...
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def mismatch_training(names, train_df): """Check if file name is different than the target label""" count = 0 candidate_name = train_df.label for i in range(len(names)): c = candidate_name[i].lower().strip() #print(names[i], c) if(names[i][0] == 'O'): names[i][0] = names[i][0...
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import numpy def frametoimage(imgframe,imgmeta): """ To convert stuctured image frame to nd image array. Parameters ---------- imgframe : Stuctured image data. imgmeta : Metadata of the image. Needed for get image width, height and band information. Returns ------- rs...
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def dedupe_in_order(in_list, dont_add=set()): """ Deduplicate the in_list, maintaining order :param dont_add: an additional stoplist """ dedupe = set() | dont_add ordered_deduped = [] for l in in_list: if l not in dedupe: ordered_deduped.append(l) dedupe.add(l) return ordered_deduped
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def is_page_editor(user, page): """ This predicate checks whether the given user is one of the editors of the given page. :param user: The user who's permission should be checked :type user: ~django.contrib.auth.models.User :param page: The requested page :type page: ~integreat_cms.cms.models....
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def optimize_model(m): """ Optimization routine we use to optimize a (Bayesian-)GPLVM. We first fix the variances to low values to force the latent mapping function `f` (`Y = f(X)`) learn the structure in the beginning and not allow the model to explain the data by pure noise. Usage exampl...
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def line_number_match(array1, array2): """ Function that compares two lists of line numbers and determines which line numbers are missing from either array. :param array1: A list to be compared :param array2: A list to be compared :return: Where in the program there is a parenthesis missing as an in...
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def _is_supported(arg, supported: set): """ Check that aggregations in `arg` are a subset of `supported` """ if isinstance(arg, (list, dict)): if isinstance(arg, dict): _global_set = set() for col in arg: if isinstance(arg[col], list): _glo...
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def parse_row(row): """ Take in a tr tag and get the data out of it in the form of a list of strings. """ return [str(x.string) for x in row.find_all('td')]
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def eco_fen(board): """ Takes a board position and returns a FEN string formatted for matching with eco.json """ board_fen = board.board_fen() castling_fen = board.castling_xfen() to_move = 'w' if board.turn else 'b' return "{} {} {}".format(board_fen, to_move, castling_fen)
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def _arbitrary_ds_da_func(ds_da, *args, **kwargs): """Function for testing if checking the first item in arg list is ds/da.""" return ds_da, args, kwargs
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def minus(a:int,b:int)->int: """ minus operation :param a: first number :param b: second number :return: a-b """ return a-b
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def bit_set(data, bit): """ Note: This is NOT in place. """ mask = (data << (bit - 1)) return mask | data
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import requests import json def get(api_path): """Request the api path and return the response.""" response = requests.get(api_path) if response.ok: try: # return the json from the API endpoint return json.loads(response.text) except ValueError: # handl...
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def create_wiki_url(page: str) -> str: """Creates canonical URL to `page` on wiki Args: page (str): subject page Returns: str: canonical URL """ return f"https://genshin-impact.fandom.com{page}"
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import itertools def get_flattened_subclasses(cls): """ Returns all the given subclasses and their subclasses recursively for the given class :param cls: Class to check :type cls: Type :return: Flattened list of subclasses and their subclasses """ classes = cls.__subclasses__() return ...
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def accuracy(labels, scores, threshold=0.5): """ Computes accuracy from scores and labels. Assumes binary classification. """ return ((scores >= threshold) == labels).mean()
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def deal_hands(deck, start): """ Deal hands from the deck starting at index i """ return ( [deck[start], deck[start + 2]], [deck[start + 1], deck[start + 3]], )
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import sys def get_from_sys_modules(cls_name): """Gets the class from a dot notation name Args: cls_name: dot notation enum name Returns: module: enum class """ # Split on dot notation split_string = cls_name.split(".") module = None for idx, val in enumerate(split_s...
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def in_sh(argv, allstderr=True): """ Provides better error messages in case of file not found or permission denied. Note that this has nothing at all to do with shell=True, since quoting prevents the shell from interpreting any arguments -- they are passed straight on to shell exec. """ # NB...
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def banner(text: str) -> str: """Generate a banner of 3 lines""" FILLER = "#" text = text.strip() middle_line = FILLER + text.center(int(len(text) / 0.618)) + FILLER top_line = bottom_line = FILLER * len(middle_line) return "\n".join([top_line, middle_line, bottom_line])
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def feature_basic_statistics(df, feature, artist_filter=None): """returns min, max & avg of given feature for specified artist""" if artist_filter: mask = df["name_artist"] == artist_filter else: mask = [True] * df.shape[0] min = df.loc[mask, feature].min() max = df.loc[mask, featur...
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def set_training_mode_for_dropout(net, training=True): """Set Dropout mode to train or eval.""" for m in net.modules(): # print(m.__class__.__name__) if m.__class__.__name__.startswith('Dropout'): if training==True: m.train() else: m.eval()...
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from typing import Union from typing import Set def split_once(text: str, separates: Union[str, Set[str]]): # 相当于另类的pop, 不会改变本来的字符串 """单次分隔字符串""" out_text = "" quotation = "" is_split = True separates = separates if isinstance(separates, set) else {separates} for char in text: if char...
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def elbow_point(points): """Return the index in ``points`` for maximal curvature. Parameters ---------- points : list of int Returns ------- int """ second_derivative_list = [points[x+1] + points[x-1] - 2 * points[x] for x in range(1, len(points) - 1)]...
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import os import csv def validate_types_and_id(meta_dictionary, logger, filename): """Validate a genetic_alteration_type, datatype (and stable_id in some cases) against the predefined allowed combinations found in ./allowed_data_types.txt """ result = True # this validation only applies to items t...
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import torch def mean_frobenious_distance(generated_cbt, test_data): """ Calculate the mean Frobenious distance between the CBT and test subjects (all views) Args: generated_cbt: trained DGN model test_data: list of data objects """ frobenius_all = [] for data i...
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def manipulate(root, strblock): """ Maliciously manipulates the structure to create a crafted FIT file """ # locate /images/kernel-1 (frankly, it just expects it to be the first one) kernel_node = root[0][0] # clone it to save time filling all the properties fake_kernel = kernel_node.clone()...
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import pickle def load_object(filename): """ Load python object ------------------------------------------- Inputs: filename: name of pickle file I want to load. Example: 'dump_file.pkl' ------------------------------------------- Output: loaded object """ with open(filename, "...
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import numpy def B_Mat(uv0, uv1, p00, p10, p01, p11, nPixels): """ Create a cooefficent B matrix. """ c1 = (uv1.u - uv0.u) * uv0.v + uv0.u * (uv1.v - uv0.v) c2 = uv1.u - uv0.u c3 = uv1.v - uv0.v coeffs = numpy.zeros((1, nPixels)) coeffs[0, p00] = c1 - c2 - c3 coeffs[0, p10] = -c1 + c2 ...
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def mean_dim(tensor, dim=None, keepdims=False): """Take the mean along multiple dimensions. Args: tensor (torch.Tensor): Tensor of values to average. dim (list): List of dimensions along which to take the mean. keepdims (bool): Keep dimensions rather than squeezing. Returns: ...
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import os def createDaemon(UMASK=0, MAXFD=1024): """ this function is based on this receipe: http://code.activestate.com/recipes/278731-creating-a-daemon-the-python-way/ """ # first fork pid = os.fork() if (pid == 0): # first child. os.setsid() pid = os.fork() # second chil...
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def levenshtein(s1, s2, weights=(1, 1, 1)): """ python implementation of a generic Levenshtein distance this is much less error prone, than the bitparallel C implementations and is therefor used to test the C implementation However this makes this very slow even for testing purposes """ row...
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def humanize_time(secs): """ Takes *secs* and returns a nicely formatted string """ mins, secs = divmod(secs, 60) hours, mins = divmod(mins, 60) return "%02d:%02d:%02d" % (hours, mins, secs)
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def drop_unlinked_cfs(data): """Drop CFs which don't have ``input`` attribute""" for method in data: method[u'exchanges'] = [cf for cf in method['exchanges'] if cf.get('input') is not None] return data
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def get_first_and_last_names(user): """ Returns a the most reliable values we have for a user's first and last name based on what they have entered for their legal address and profile. Args: user (django.contrib.auth.models.User): Returns: (str or None, str or None): A tuple contai...
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import os def ExeName(env, exePath): """Figure out the real name of an executable. Given the Linux-style path, this works out what an executable is actually called, so that we can run on cygwin. """ pre = env.subst('$PROGPREFIX') suf = env.subst('$PROGSUFFIX') dirpath = os.path.dirname(ex...
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def _reorder(xs, indexes): """Reorder list xs by indexes""" if not len(indexes) == len(xs): raise ValueError("xs and indexes must be the same size") ys = [None] * len(xs) for i, j in enumerate(indexes): ys[j] = xs[i] return ys
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def error_applookuprecord_unknown(value:str) -> str: """ Return an error message for a unknown record identifier. Used when setting the field of an applookup control to a record identifier that can't be found in the target app. """ return f"Record with id {value!r} unknown."
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def digest_repr(obj): """ Return a short digest of a possibly deeply nested (JSON) object. """ if isinstance(obj, (tuple, list, set, dict)): def nesting(collection): "Helper" if isinstance(collection, dict): collection = collection.values() if isin...
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def group(iterable, n): """Splits an iterable set into groups of size n and a group of the remaining elements if needed. Args: iterable (list): The list whose elements are to be split into groups of size n. n (int): The number of elements per group. ...
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def question_1(): """Return the correct answer for the following question. What's the correct data type of the following values: True, False a) Integer b) Boolean c) String d) Collection """ return 'Boolean'
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def read(strg): """Read string generated by the generate() function, or any other number in 10-digit string format.""" l = int(strg[:2]) h = int(strg[2:4]) c = int(strg[4]) unique_identifier = int(strg[5:]) return (l,h,c, unique_identifier)
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import sys def mayaStartupHasRun(): """ Returns True if maya.app.startup has already finished, False otherwise. """ return 'maya.app.startup.gui' in sys.modules or 'maya.app.startup.batch' in sys.modules
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def collection_attribs(col): """Returns a list of the unique non-subscripted attributes of items in `col`.""" attribs = (attrib for item in col for attrib in item.__dict__ if attrib[0] != '_') return list(set(attribs))
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def f_to_c(f): """ Convert fahrenheit to celcius """ return (f - 32.0) / 1.8
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import os import glob def def_file_names(mode, ref_dir, test_dir, img_name, olist, verbose=True): """Generate image file names.""" test_fname = os.path.realpath(os.path.join(test_dir, img_name)) if mode == "ref": ref_fname = os.path.realpath(os.path.join(ref_dir, img_name)) else: # Sup...
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import math def e_dist(p1,p2): """ Takes two points and returns the euclidian distance """ x1,y1=p1 x2,y2=p2 distance = math.sqrt((x1-x2)**2+(y1-y2)**2) return int(distance)
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import json def serialize(d): """ Serialize a dict as a json string. To be used in client requests """ return json.dumps(d)
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def power(n): """Return 2 to the n'th power""" return 2 ** n
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def check_winner(board): """ Returns player that wins -1 if draws 0 if game has not ended """ # Check rows for winner for row in range(6): for col in range(4): if (board[row][col] == board[row][col + 1] == board[row][col + 2] ==\ board[row][col + 3]) and (...
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def flipBit(int_type, offset): """Flips the bit at position offset in the integer int_type.""" mask = 1 << offset return(int_type ^ mask)
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def flattenSpiderConfig(run_spider_config) : """creates a flat dict from nested spider_config dict""" spider_config_flat = {} for conf_class, conf_set in run_spider_config.iteritems() : if conf_class != "_id" : for conf_field, conf_data in conf_set.iteritems() : spider_config_flat[conf_field] = conf_da...
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def readLocationChange(sheet, row=19, colStart=1, nphases=10): """ Read locations of peak angle and obtain change in location """ distances = sheet.rows[row-1][colStart:colStart+nphases] distances = [obj.value for obj in distances] locationchange = max(distances) - min(distances) return loc...
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def expand_pv(pv): """ Returns the LCS Process Variable in full syntax AADDDNNNCMM as a string where AA is two character area, DD is device type, NNN is device number, C is channel type, MM is channel number Returns partial PVs when input string is incomplete. ...
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import random def generate_equations(allowed_operators, dataset_size, min_value, max_value): """Generates pairs of equations and solutions to them. Each equation has a form of two integers with an operator in between. Each solution is an integer with the result of the operaion. allowed_ope...
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import torch def grid_8_neighbor_graph(N): """ Build discrete grid graph, each node has 8 neighbors :param n: sqrt of the number of nodes :return: A, the adjacency matrix """ N = int(N) n = int(N ** 2) dx = [-1, 0, 1, -1, 1, -1, 0, 1] dy = [-1, -1, -1, 0, 0, 1, 1, 1] A = torc...
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def parsedFile(file): """Take a parsed file and return the list Of Chords and Interval Vectors. The file was already parsed possibly from corpus. Then with chordify and PC-Set we compute a list of PC-chords and Interval Vectors. """ mChords = file.chordify() chordList = [] chordVectors = []...
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def grab_job_links(soup): """ Grab all non-sponsored job posting links from a Indeed search result page using the given soup object Parameters: soup: the soup object corresponding to a search result page e.g. https://ca.indeed.com/jobs?q=data+scientist&l=Toronto&start=20 ...
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def gene2bin(parameters, gene, geneType): """ geneBin = gene2bin(parameters, gene, geneType) Turns genes into the binary-string form gene: integer geneType: string geneBin: string, of all ones and zeros >>> geneType = 'repn' >>> parameters = {'genetics': {geneT...
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def unique_items(seq): """A function that returns all unique items of a list in an order-preserving way""" id_fn = lambda x: x seen_items = {} result = [] for item in seq: marker = id_fn(item) if marker in seen_items: continue seen_items[marker] = 1 result.append(item...
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def checkComp(parts, ind, wmap): """ Finds longest compound terms from list of tokens starting at an index. :param parts: List of tokens :param ind: Index of the current token :param wmap: Dictionary mapping token to lemma :returns: Longest compound term, index after the longest compound ter...
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def rgb_to_hex(rgb): """Returns the hex color code for the rgb tuple.""" hexcodes = ("%02x" % int(v * 255) for v in rgb) return "#%s" % "".join(hexcodes)
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import numpy def fit(model, packed, *args, **kwargs): """Fit model to packed data. packed[0] is x, packed[1:] is sx. args and kwargs are forwarded to the model.fit(...). """ data = packed.reshape(-1, packed.shape[-1]) labels = numpy.zeros(data.shape[0], bool) return model.fit(data, label...
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def ner(nlp_obj, corpus): """NER for a single sentence.""" doc = nlp_obj(corpus) return [(ent.text, ent.label_, ent.start_char, ent.end_char) for ent in doc.ents]
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def _num_frame_valid(nsp_src, nsp_win, len_hop): """Computes the number of frames with 'valid' setting""" return (nsp_src - (nsp_win - len_hop)) // len_hop
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import os def extract_name(path_file): """ Extract graph name from path """ path_splitted = os.path.split(path_file) filename_splitted = path_splitted[1].split('.') return filename_splitted[0]
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import os import yaml def check_file_existence(output_file: str) -> bool: """This functions checks if the file already exists on filesystem Args: output_file (str): File location Returns: bool. The return code:: False -- If the file not exists or is blank True -- I...
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def maeConfig(argument_parser): """ Set CLI arguments :param argument_parser: argument parser :type argument_parser: ```ArgumentParser``` :returns: argument_parser :rtype: ```ArgumentParser``` """ argument_parser.description = """Computes the mean absolute error between labels and pred...
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import os def get_latest_mod(src_file): """ Gets the last modification date of the specified file. """ # Get date of latest modification stats = os.stat(src_file) latest_mod = stats[8] return latest_mod
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def valid_symbol(symbol): """Returns whether the given symbol is valid according to our rules.""" if not symbol: return 0 for s in symbol: if not s.isalnum() and s != '_': return 0 return 1
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def slice(ds, idx_start, idx_stop): """Retrieve a slice of the dataset.""" if type(ds) != tuple: raise TypeError("'ds' isn't a tuple") if len(ds) != 2: raise ValueError("'ds' isn't a 2-element tuple") if idx_stop < idx_start: raise RuntimeError("'idx_start' value of the range has a greater value then 'i...
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import re def format_float(value): """Modified form of the 'g' format specifier.""" string = "{:g}".format(value).replace("e+", "e") string = re.sub("e(-?)0*(\\d+)", r"e\1\2", string) return string
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def wc_diff(row): """字符串长度差""" return abs(len(row["s1"]) - len(row["s2"]))
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def unlisted(fun): """decorator for methods that shouldn't be listed with list""" fun.unlisted = True return fun
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import hashlib def keyhash(string): """Hash the string using sha-1 and output a hex digest. Helpful for anonymizing known_mods.""" return hashlib.sha1(string.encode('utf-8')).hexdigest()
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def remove_query_string(url): """ Removes query string from a url :param url: string with a url :return: clean base url """ if not isinstance(url, str): raise TypeError('Argument must be a string') return url.split('?')[0]
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def file_mode_converter(num: int): """ 十进制mode 转 user:group:other mode 0444 <--> 292 444 --> 100 100 100(2) --> 292(10) :param num: 十进制数字 :return: ser:group:other mode 格式:0ugo """ # 数字转二进制字符串 user = (num & 0b111000000) >> 6 group = (num & 0b111000) >> 3 other = n...
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def listify(i): """ Iterable to list. """ return list(i)
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def get_sound_effect_for_answer(answer_was_right): """get the appropriate sound effect""" print("=====get_sound_effect_for_answer fired...") print("=====answer_was_right: " + str(answer_was_right)) if answer_was_right is None: return "" if answer_was_right: return "<audio src=\"http...
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def aztec_xihuitl_date(month, day): """Return an Aztec xihuitl date data structure.""" return [month, day]
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def intersect_bounds( bbox0: tuple[float, float, float, float], bbox1: tuple[float, float, float, float] ) -> tuple[float, float, float, float]: """Get the intersection in w s e n Parameters: bbox0: bounding coordinates bbox1: bounding coordinates Returns: intersection coor...
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def bar(self, *args, **kwargs): """ Make a bar plot Wraps matplotlib bar() See plot documentation in matplotlib for accepted keyword arguments. """ if len(self.dims) > 1: raise NotImplementedError("plot can only be called up to one-dimensional array.") return self._plot1D('bar',*args, *...
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def auth_path(index, height): """Return the authentication path for a leaf at the given index. Keyword arguments: index -- the leaf's index, in range [0, 2^height - 1] height -- the height of the binary hash tree Returns: The authentication path of the leaf at the given index as a list of nod...
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def scene_to_dict(scene, use_base64=False): """ Export a Scene object as a dict. Parameters ------------- scene : trimesh.Scene Scene object to be exported Returns ------------- as_dict : dict Scene as a dict """ # save some basic data about the scene export = ...
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def get_environment(hostname): """Get whether dev or qa environment from Keeper server hostname hostname(str): The hostname component of the Keeper server URL Returns one of 'DEV', 'QA', or None """ environment = None if hostname: if hostname.startswith('dev.'): environment ...
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def _import_string(names): """return a list of (name, asname) formatted as a string""" _names = [] for name, asname in names: if asname is not None: _names.append(f"{name} as {asname}") else: _names.append(name) return ", ".join(_names)
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def _is_leap(year): """year -> 1 if leap year, else 0.""" return year % 4 == 0 and (year % 100 != 0 or year % 400 == 0)
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def clean_place_string(place_string): """ takes e.g. 'St. Lorenzen (St. Michaelsburg)' and returns the tuple ('St. Lorenzen', 'St Michaelsburg') """ first_place = place_string.split("(")[0] lg = " ".join(place_string.split("(")[1:]) lg = lg.replace(')', '') return(first_place, lg)
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def IsDict(inst): """Returns whether or not the specified instance is a dict.""" return hasattr(inst, 'iteritems')
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from typing import List def get_migration_table_name(allowed_packages: List, current_package_name) -> str: """Convert Python package name to migration table name.""" package_name = allowed_packages[0] if package_name == "all": package_name = current_package_name table = package_name.replace(...
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import os def config_from_env(prefix): """ Configure from the environment based on expected prefix of environment variables. Returned dictionary has the prefix + '_' stripped off and the second part of variable name turned to lower case (for consistency with INI parsing). E.g. LDAP_SEARCH_BASE is ...
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