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def _clean_boto3_metadata(boto3_metadata: dict) -> dict: """Remove unwanted keys from boto3 metadata dictionaries. Arguments: boto3_metadata (dict): The raw dictionary of metadata typically found in resource.meta.data """ boto3_metadata = boto3_metadata or {} unwanted_keys = ["ResponseMetad...
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import re import pickle def predict(text): """This function predicts if a sentence is sarcastic or not.""" data = text data = re.sub('[^a-zA-Z]', ' ', data) s = [] s.append(data) with open('tfidf.pkl', 'rb') as f: vectorizer = pickle.load(f) with open('model.pkl', 'rb') as f:...
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import os import subprocess def command_available(command, print_error=True): """ See if a command exists by trying to call it with --help. """ exists = False with open(os.devnull, 'w') as devnull: try: subprocess.call([command, '--help'], stdout=devnull, stderr=devnull) ...
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def format_serial(serial_int): """Format the volume serial number as a string. Args: serial_int (long|int): The integer representing the volume serial number Returns: (str): The string representation xxxx-xxxx """ serial_str = None if serial_int == 0: return serial_str ...
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def log(message: str, to_console: bool = True, newline: bool = True, to_server: bool = True) -> None: """log(message: str, to_console: bool = True, newline: bool = True, to_server: bool = True) -> None Category: General Utility Functions Log a message. This goes to the defaul...
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def _mapProperties(reqPropDefs, properties, cwr): """ Converts the given properties. """ mappedProperties = list() if not properties is None: for propId, value in properties.iteritems(): if propId in reqPropDefs: propDef = reqPropDefs[propId] prop = c...
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def parse_quarantines(_code, details_div): """ 检验检疫类别 """ quarantines_txts = details_div[4].table.tbody.find_all('td', class_='td-label') quarantines = [] for quarantine in quarantines_txts: txt = quarantine.text if txt not in ('无', ''): quarantines.append(txt) ...
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import sys import select def poll(): """ return whether there is data in the pipe """ return sys.stdin.buffer in select.select([sys.stdin.buffer], [], [], 0)[0]
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def create_model_data(data): """ data: pandas DataFrame This function drops unnecessary columns and reverses the order of DataFrame based on decending dates. Return: pandas DataFrame """ data = data[['Open','High','Low','Close','Volume','Trades','Change','CloseOffHigh','Volatility']] print(d...
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def getMid(p1, p2): """ 接受两个点作为输入,并返回它们的中点 :param p1:第一个点 :param p2:第二个点 :return:两个点的中点 """ return ((p1[0]+p2[0]) /2, (p1[1] + p2[1]) / 2)
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def fatorial(num=0,show=False): """ -> Calcula o fatorial de um numero :num: fatorial a ser calculado :show: se False, nao imprime calculo, se True, imprime calculo :return: retorna o fatorial calculado """ fat = 1 for i in range(num,0,-1): if show: print(i,end='') ...
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def epi_params(echo_spacing, acc_factor, enc_dir, enc_dir_alt, epi_factor): """ This function is to create a dict based on the input for epi parameters for both phase encoding directions :param echo_spacing: :param acc_factor: :param enc_dir: :param enc_dir_alt: :param epi_factor: :retur...
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def parseDict(AST): """ parse AST to dict obj. """ return {'symbol': AST.symbol, 'child': [parseDict(node) for node in AST.child if AST.child]}
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def _audiocomp(P:dict) -> list: """select audio codec""" return ['-c:a','aac','-b:a','160k','-ar','44100' ]
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def json_export_occurences(self, request): """ Returns the occurrences as JSON. This is used for the senantis.dir.eventsportlet. """ @request.after def cors(response): response.headers.add('Access-Control-Allow-Origin', '*') query = self.for_filter( tags=request.params.getall...
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def GetOriginFromDataUnit(data_unit): """ Return a shortened origin string from the data unit E.g. 'fb' for Facebook, 'tw' for Twitter Returns: shortened origin (string) """ origin = data_unit.get('origin', '').lower() if origin == 'facebook': origin = 'fb' elif origin == 'twitter...
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import collections def nested_ddict(): """ Defaultdict with arbitrary number of levels. """ return collections.defaultdict(nested_ddict)
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import os def _rel_abs_path(current_path, base_path): """ Return the value of the current path, relative to the base path, but resolving paths absolutely first. This helps when walking a nested directory structure and want to get the subtree relative to the original path """ tmp_path = os....
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from datetime import datetime def path_replace_ymd(path, ymd): """ path:替换路径中的日期 ,path中%YYYY%MM%DD%JJJ 等关键字会被ymd日期实例 ymd: yyyymmdd (20180101) """ # 转成datetime类型 ymd = datetime.strptime(ymd, '%Y%m%d') yy = ymd.strftime('%Y') mm = ymd.strftime('%m') dd = ymd.strftime('%d') jj = ...
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def applescript_escape(string): """Escape backlsahes and double quotes for applescript""" return string.replace('\\', '\\\\').replace('"', '\\"')
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import operator def _mkl(dictionary: dict, keys: tuple) -> tuple: # type: ignore[type-arg] """multi-key lookup.""" return operator.itemgetter(*keys)(dictionary)
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def _to_list(obj): """Put obj in list if it is not a list.""" if not isinstance(obj, list): return [obj] else: return obj
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import json def read_gallery_config(gallery_path): """ Read the gallery config from the gallery.json file :param gallery_path: path to the JSON file :return: dict containing the gallery config """ try: with open(gallery_path, "r") as gallery_in: return json.load(gallery_in)...
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import numpy def create_3D_tank(x1, y1, z1, x2, y2, z2, dx): """ Generate an open rectangular tank. Parameters: ----------- x1,y1,x2,y2,x3,y3 : Coordinates defining the rectangle in 2D dx : The spacing to use """ points = [] # create the base X-Y plane x, y = numpy.mgrid[x1:x2...
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def find_disks(disk_type, nodes, partition_name): """ return a list of disk that are not used by storage pool or has a different type as the one required for this cluster """ available_disks = {} def check_partition(disk): for partition in disk.partitions: for filesystem in ...
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import re def _parse_parameters(parameters): """ Parses parameters string and returns a dict of overrides. This function assumes that parameters string is in the form of '"key1="value1" key2="value2"'. Use of single quotes is optional but is helpful for strings that contain spaces. Args: par...
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def __get_owning_account_from_arn(arn): """ Get the owning aws account id part of the arn """ if arn is not None: return arn.split(':')[4] return None
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def patch_chunkparser_extract_phrase(mocker): """Patch both the ChunkParser class, and its extract_phrase method, but only return the latter.""" patch_chunkparser = mocker.patch("src.make_feedback_tool_data.make_data_for_feedback_tool.ChunkParser") return patch_chunkparser.return_value.extract_phrase
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import re def extract_values_with_regex(filepath, regex, names): """ Parameters ---------- filepath: str regex: str names: list[str] Returns ------- dict[str, list[str]] """ re_comp = re.compile(regex, re.I) values = {name: [] for name in names} for line in open(fi...
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def execute_cypher_query(driver, query, params=None): """ Given `neo4j.Driver` instance and `query` str, execute `query` via the `driver` in a session, returning the `neo4j.BoltStatementResult` object that results. Args: driver (neo4j.Driver): instance of database driver query (str): Cy...
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def classify_whitespaces(string, tabwidth): """ calculate the whitespaces raw and effective length """ raw = effective = 0 for ch in string: if ch == " ": raw = raw + 1 effective = effective + 1 elif ch == "\t": raw = raw + 1 effective = (effec...
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import re def exclude_filter(excl_filter, paths): """ Matches a set of paths against an exclude filter, removing those that don't match param: excl_filter: The filter to match. param: paths: The set of paths to match against the filter. returns: A set of paths which do not match the filter. "...
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def q6(vector, n): """ Revertse the input vector in chunks of size n Args: vector (1xd): The array to be reversed n (int): chunk size Returns: Array: reversed array """ new_vector = [] while len(vector): new_vector+= vector[-n:] vector = vector[...
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def _is_empty(text: str) -> bool: """ Determine if a cell is empty. Keyword arguments: text -- the text to check Returns: True if the cell is empty, False otherwise """ return text == ""
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def kl_div(P, Q): """ returns actual KL divergence. torch.nn.functional.kl_div returns different values :param P: discrete distribution :param Q: discrete distribution :return: """ kl = (P * (P / Q).log()).sum(1) return kl
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import argparse def read_arguments(): """Parses the arguments from the stdin and returns an object.""" parser = argparse.ArgumentParser() parser.add_argument('--f1', type=str, help='Path the first file to read') parser.add_argument('--f2', type=str, help...
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import re def remove_trailing_slashes(filepath: str) -> str: """ Removes trailing slashes from a directory path or full filepath Examples: remove_trailing_slashes("/my/path/") == "my/path" remove_trailing_slashes("my/path/") == "my/path" remove_trailing_slashes("/path/to/myfile.pd...
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def snake_to_camel(name): """Returns the camel case of the given snake cased input""" parts = name.split('_') return parts[0] + "".join(x.title() for x in parts[1:])
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def det_dist(coord, coord_2): """ Determine the euclidean distance between two points. """ d_x = coord_2[0] - coord[0] d_y = coord_2[1] - coord[1] return (d_x**2 + d_y**2)**(0.5)
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def predictions_from_model(model, preprocessor, new_data_raw): """ """ try: y_predict = model.predict(preprocessor.transform(new_data_raw)) except Exception as err: print('error computing model predictions using model', model) raise err return y_predict
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def izipcols(df, cols, index=False): """Return an iterator to go through rows of Pandas.DataFrame (Much faster than DataFrame.rows() which involves instantiation of Series objects) Args: df: DataFrame cols: list of column names index: if True, includue index at the beginning (defaul...
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def rm_brs(line): """Replace all whitespace (line breaks, etc) with spaces.""" # noqa: DAR101,DAR201 return ' '.join(line.split())
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def convert_lineage_to_ranks(df): """ Given a lineage summary dataframe, extract the taxID at different taxonomic ranks and store them in separate columns. Check if all organisms appearing in the dataframe have their species-level taxID. """ def ext_rank(lineage_dict, rank): for i in range(l...
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def multi_prot_grounds_fix(match): """ Checks whether all protected grounds are listed together (when judge quotes law), and removes any returned protected grounds if all protected grounds are part of the judge quoting the law used in protected grounds in order to improve accuracy """ prohibited...
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def scale_unit_interval(mat, eps=1e-8): """Scales all values in `mat` to be between 0 and 1.""" mat = mat.copy() mat -= mat.min() mat *= 1.0 / (mat.max() + eps) return mat
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def calc_hilo(min_val, max_val, df, cols_to_test): """ Return lowest and highest values from min_val and max_val if present, or calculate from df. """ # Calculate (or blindly accept) the range of the y-axis, which must be the same for all four axes. if (max_val is None) and (len(df.index) > 0): hig...
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def captured_article_ok(save_option, saved, post_option, posted): """ Given four boolean variables, return whether or not the article should be considered captured or not. save_option: Was the code required to save the article? saved: Did the code save the article? post_option: Was t...
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import typing def split_name(value: str) -> typing.Tuple[typing.Optional[str], str]: """Take a postgres ident and return the proper namespace & tag value""" parts = value.partition('.') if (parts[1], parts[2]) == ('', ''): return None, value return parts[0], parts[2]
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def check_completer(completer_obj): """Helper function to run completer and parse the results as set of strings""" completer = completer_obj def _factory( line: str, prefix: "None|str" = "", send_original=False, complete_fn=None ): """ Parameters ---------- line...
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def str_to_dict(s, join_symbol="\n", split_symbol=":"): """ 把参数字符串转换为一个字典 例如: a=b&c=d join_symbol是&, split_symbol是= :param s: 原字符串 :param join_symbol: 连接符 :param split_symbol: 分隔符 :return: 字典 """ # 通过join_symbol把字符串分为一个列表 s_list = s.split(join_symbol) # 定义一个新的字典 data =...
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def dist(source, target): """trying to match word source to target word""" dp = [[0 for i in range(len(source)+1)] for i in range(2)] for i in range(len(source)+1): dp[0][i] = i for i in range(len(target)+1): for j in range(len(source)+1): if j==0: dp[i%2][j] = i elif s...
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def compare_motif_nterm(peptide, motif): """N-term position specific motif match.""" for i in range(len(motif)): if peptide[i]!=motif[i] and motif[i]!='x': return 0 return 1
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from typing import Any def monkeypatch(obj: Any, attr: str, new: Any) -> Any: """Temporarily replace a method with a new funtion The previously set method is passed as the first argument to the new function """ def patched(*args: Any, **kwargs: Any) -> Any: return new(old, *args, **kwargs) ...
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def gen_full_movement_rewards(full_states, movement_rewards_partial, n): """Expands to all states""" movement_rewards_full={} for state in full_states: partial_state=state[:n]+state[-n-n:-n] movement_rewards_full[state]=movement_rewards_partial[partial_state] return movement_rewards_full
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def stringToBool(s): """ Convert a string (True/true/1) to bool s -- string/int value return -- True/False """ return (s == "True" or s== "true" or s == "1" or s == 1)
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def layer(lines, num_overlaps, comb=' '): """ make front-padded overlapping sentences """ if num_overlaps < 1: raise Exception('num_overlaps must be >= 1') out = ['PAD', ] * min(num_overlaps - 1, len(lines)) for ii in range(len(lines) - num_overlaps + 1): out.append(comb.join(lin...
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import subprocess def _diff_files(file1, file2): """diff two files using linux `diff`""" try: return subprocess.check_output(["diff", file1, file2]).decode("utf8") except subprocess.CalledProcessError as err: return err.output.decode("utf8")
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import math def calculate_y_matrix(rs, xs, bc, tau, shift): """ Compute the y matrix from various branch properties Parameters ---------- rs : float Branch resistance xs : float Branch reactance bc : float Branch charging susceptance tau : float Branch ...
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import random def make_random_ints_no_dups(num, lower_bound, upper_bound): """ Generate a list containing num random ints between lower_bound and upper_bound. upper_bound is an open bound. The result list cannot contain duplicates. """ result = [] rng = random.Random() for i in range(num...
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def taxon_file(taxon_id, page_no=1): """Build the taxon file name.""" file_name = f'taxon_id_{taxon_id}.html' if page_no > 1: file_name = f'taxon_id_{taxon_id}_{page_no}.html' return file_name
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def max_length(down: list, right: list) -> int: """Finds the maximum length of a R/D path given edge weights :param down: a matrix of down-path weights :type down: list (of lists (of ints)) :param right: a matrix of right-path weights :type right: list (of lists (of ints)) :returns: the maximal...
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def delete_profile(db, user_id, profile_id): """Deletes a profile for the given user. Args: db (object): The db object user_id (int): The id of the user. profile_id (int): The id of the profile to delete. Returns: True if the record was deleted, False otherwise """ ...
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import copy def generate_keyed_value_combinations(args): """ From this: args = {"attr1": ["a", "b", "c"], "attr2": ["1", "2"], "attr3": ["A"]} To this: [ {u'attr1': u'a', u'attr2': u'1', u'attr3': u'A'}, {u'attr1': u'b', u'attr2': u'1', u'attr3': u'A'}, {u'attr1': u'c', u'attr2': u'1', u'attr3': u'...
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import os def is_geckodriver() -> bool: """ Checks if geckodriver executable is in the $PATH. @rtype: bool """ paths = [path + "/geckodriver" for path in os.environ["PATH"].split(":")] return any([os.path.isfile(file) for file in paths])
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import os def get_pathext(default_pathext=None): """ Returns the path extensions from environment or a default """ if default_pathext is None: default_pathext = os.pathsep.join(['.COM', '.EXE', '.BAT', '.CMD']) return os.environ.get('PATHEXT', default_pathext)
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def validate_mask(mask): """Check if the netmask is valid return mask as string in the range [0, 32] or False if not valid """ if not mask: return False mask = mask.strip() if mask.isdigit() and int(mask) >= 0 and int(mask) <= 32: return mask return False
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import typing import os def read_path(path: typing.Optional[str]) -> typing.Optional[str]: """Expand ~'s in a non-None path.""" if path is None: return None return os.path.expanduser(path)
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def parse_request(event): """ Parses the input api gateway event and returns the product id Expects the input event to contain the pathPatameters dict with the user id and school id key/value pair :param event: api gateway event :return: a dict containing the user id and org id """ query...
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def b_task(request): """Using a list of ids.""" return request.param
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import re def strip_trailing_whitespace(content): """ Seems to be some inconsistencies re. trailing whitespace with different versions of the json lib. """ return re.sub(' +\n', '\n', content)
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import asyncio def async_testable(foo): """Quick and dirty function to allow for tesing of async functions. :param coro foo: The async function to test. """ def test_inner(*args, **kwargs): loop = asyncio.get_event_loop() return loop.run_until_complete(foo(*args, **kwargs)) test...
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def tally_by_taxon(nexus_obj): """ Counts the number of states per site that each taxon has (i.e. taxon 1 has three sites coded as "A" and 1 coded as "G") Returns a dictionary of the cognate sets by members in the nexus :param nexus_obj: A `NexusReader` instance :type nexus_obj: NexusReader ...
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def compute_parent_nodes(root_node, stage, n_nodes): """ Computes the the parents nodes of the specified stage """ root_nodes = [root_node] for _ in range(1, stage): children = [] for r in root_nodes: for n in range(1, n_nodes + 1): child = '{}.{}'.format(r, n) ...
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def _translate_message(message): """Translate the Message model to a dict.""" return { 'id': message['id'], 'project_id': message['project_id'], 'request_id': message['request_id'], 'resource_type': message['resource_type'], 'resource_uuid': message.get('resource_uuid'), ...
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from typing import List import os import glob import time def sort_files_by_date( dir_name: str, reverse: bool = False, recursive: bool = False, verbose: bool = False, ) -> List[str]: """List files in a folder, based on date last modified :param dir_name: Directory to search for files :pa...
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import requests def get_suning_html(url): """ 获取网页源代码 :param url: 获取源代码目标url :return: 网页源代码 """ # headers = { # 'Accept: */*', # 'Accept-Encoding: gzip, deflate, br', # 'Accept-Language: zh-CN,zh;q=0.9', # 'Connection: keep-alive', # 'Host: ds.suning.com...
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def clean_error(err): """ Take stderr bytes returned from MicroPython and attempt to create a non-verbose error message. """ if err: decoded = err.decode("utf-8") try: return decoded.split("\r\n")[-2] except Exception: return decoded return "There ...
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def deep_index(lst, w): """helper function for user_attack to find the corresponding item in weapon_dict""" return [i for (i, sub) in enumerate(lst) if w in sub][0]
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def hello_world(): """Original""" return "Hello"
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def set_state(S, action, P_no): """ set_state(S, action, P_no) [Inputs] S is numpy array. [Returns] Sa is S with new action. """ # assert S[action] == 0, 'position should be empty to put a new stone' Sa = S.copy() Sa[action] = P_no # User numpy to insert action in the speci...
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import inspect def function_has_return(func): """Caution: this will return True if the function contains the word 'return'""" lines, _ = inspect.getsourcelines(func) return any("return" in line for line in lines)
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def set_to_list(setstring, delimiter="|", affix="|"): """Turn a set string into a list.""" if setstring == affix: return [] setstring = setstring.strip(affix) return setstring.split(delimiter)
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def binary_search(lo, hi, p, e): """Bisection search for x in [lo, hi] such that condition 'e' holds. p determines when to go left.""" x = (lo + hi) / 2 if p(lo, hi): return x elif e(x): return binary_search(lo, x, p, e) else: return binary_search(x, hi, p, e)
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from typing import List from typing import Tuple def get_msa_lengths(list_msa: List[List[Tuple[str, str]]], nseq: int) -> List[int]: """Get length of an MSA list All MSA must have at least nseq in msa Args: list_msa (List[List[Tuple[str,str]]]): list of MSA. MSA is a list of tuple nseq ...
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import os import re def get_cmor_output_files(input_path, start_year, end_year): """ Return a list of CMORize output files from start_year to end_year Parameters: input_path (str): the directory to look in start_year (int): the first year of climos to add to the list end_year (int)...
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def inSameFamily(desc1, status_entry1, desc2, status_entry2): """Takes list of descriptors and two node fingerprints, checks if nodes list each other as in the same family.""" fprint1 = status_entry1.fingerprint fprint2 = status_entry2.fingerprint family1 = set([i.strip(u'$') for i in desc1.family])...
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from pathlib import Path def check_arg_output_dir(output_dir: str) -> bool: """Return True of the output_dir can exist. If the parent directory of the output dir does not exist, it has to either be created or fail the check. :param output_dir: the output directory :param create_parent_dir: create th...
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def kWh2therms(x): """kWh -> therms""" return x/29.3
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import functools def required_ploidy(n, return_val): """ Decorator for methods on GenotypeArrays that returns a given value if the ploidy is not n """ def decorator(func): @functools.wraps(func) def wrapper(*args, **kwargs): self = args[0] if self.variant.ploi...
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def _short_mac(mac: str) -> str: """Get the short mac address from the full mac.""" return mac.replace(":", "").upper()[-6:]
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def bin_evals (opts, evals): """Take eigenvalues and bins them, and return [energy, N], where N is the number of eigenvalues in the energy bin centered around energy""" ## they should be sorted but let's make sure evals_sort = sorted(evals) emin = evals_sort[0] emax = evals_sort[-1] d...
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import os def print_directory_contents(sPath): """ This function takes the name of a directory and prints out the paths files within that directory as well as any files contained in contained directories. This function is similar to os.walk. Please don't use os.walk in your answer. We...
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def requirements(): """Load requirements file.""" with open('requirements.txt') as f: return f.read()
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import os def get_file_size(file): """ get file size :param file: :return: """ file_stat = os.stat(file) size = file_stat.st_size kb = 1024 mb = kb * 1024 gb = mb * 1024 if size >= gb: return "{:.2f} GB".format(size / gb) elif size >= mb: return "{:.2f}...
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def size_of_shape(x): """ # This function returns one dimension size of shpae Parameters: x (np.array): Grid to get size from Returns: int: One dimension size of grid passed in """ return x.shape[0]
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def split_wins_and_losses(df, separator): """ splits a column by given separator and creates new columns args: df: a data frame separator: separator to split by returns: new df wit split columns """ for col in df: lst_entry = df[col].str.split(separator)[0] len_lst_e...
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from pathlib import Path def get_datasets_in_path(path: Path): """ Gets all the dataset with stored information in a specific path. This is used to check which datasets has features extracted. """ return set(file.name[:-5] for file in path.glob('*.json'))
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def replace_characters(main_string, chars, new_string): """ Parameters: main_string (str): The string for which you want to make the replacement chars (str): The character that you want to replace new_string (str): The new string that will replace the previous string (chars) Return: The...
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def get_index_action(index_name, document_type, document): """Generate index action for a given document. :param index_name: Elasticsearch index to use :type index_name: str :param document_type: Elasticsearch document type to use :type index_name: str :param document: Document to be indexed ...
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def get_api_url(repo_url): """Return the GitHub API URL for the respository.""" api_url = None # If the remote url is set for SSH keys if repo_url[:3] == "git": api_url = ("https://api.github.com/repos/" + repo_url[repo_url.index(":") + 1: -3]) # If the remote url is set f...
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