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def genotype_likelihood_index(allele_indices): """Returns the genotype likelihood index for the given allele indices. Args: allele_indices: list(int). The list of allele indices for a given genotype. E.g. diploid homozygous reference is represented as [0, 0]. Returns: The index into the associated...
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def wrap_neg_index(index, dim, neg_step: bool = False): """Converts a negative index into a positive index. Args: index: The index to convert. Can be None. dim: The length of the dimension being indexed. """ if index is not None and index < 0 and \ not (neg_step and index == -1):...
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import re def text_area_extractor(text): """ Textbox extractor function to preprocess and extract text Args: text: Raw Extracted Text from the News Article Returns: text: Preprocessed and clean text ready for analysis """ text = text.lower() text = re.sub(r'[^a-zA-Z0-9\s]',...
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def to_str_raw(data) -> str: """Quick and very dirty -- use str() with replacements.""" s = str(data) s_ = s.replace('\'', '"') return s_
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import calendar import time def time_string_to_unix(time_string, time_format): """Converts time from string to Unix format. Unix format = seconds since 0000 UTC 1 Jan 1970. :param time_string: Time string. :param time_format: Format of time string (example: "%Y%m%d" or "%Y-%m-%d-%H%M%S"). ...
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def alpha_to_leet(character): """ Uses some mapping from http://www.robertecker.com/hp/research/leet-converter.php to switch an alphabetical character to a numeric character. Utilizes some "standards" as well (like "3" for "E") :param string character: :return string: """ swaps = { ...
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import csv def export_to_csv(dict_data,e): """Fonction export au format tsv""" # Export au format TSV csv_columns = ["mnemonique","adresse","variable","remarque"] try: with open(e.path, "w") as csvfile: writer = csv.DictWriter(csvfile, fieldnames=csv_columns, delimiter="\t") ...
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import click def read_user_variable(var_name, default_value): """Prompt the user for the given variable and return the entered value or the given default. :param str var_name: Variable of the context to query the user :param default_value: Value that will be returned if no input happens """ #...
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def cut_part_img(img, cut_percent): """ # 从宽度和高度两个方向,裁剪身份证边缘 :param img: 身份证区域 :param cut_percent: 裁剪的比例 :return: 裁剪后的身份证区域 """ height, width, _ = img.shape height_num = int(height * cut_percent) # 需要裁剪的高度值 h_start = 0 + height_num // 2 # 左右等比例切分 h_end = height - h...
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import argparse def _parse_args(argv): """Parses command-line arguments.""" parser = argparse.ArgumentParser() parser.add_argument( "--datasets", help="""Datasets to use for training and out of study-testing. """, required=True, nargs="+", ) parser.ad...
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def no_error_func(num: int, name: str, outcome: bool) -> None: """No error function >>> all_args(1, "a", True) None """ return None
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def change_korean_aux(corpus): """Changes instances of the "aux" relation towards the UD annotations scheme. Only apply this method to: "GSD", "PUD"! For each instance of "flat": Let its dependent be the auxiliary. Let its head be the main verb. If the UPOS tags for both auxiliary and main verb are "VE...
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def _finalize_memory(jvm_opts): """GRIDSS does not recommend setting memory between 32 and 48Gb. https://github.com/PapenfussLab/gridss#memory-usage """ avoid_min = 32 avoid_max = 48 out_opts = [] for opt in jvm_opts: if opt.startswith("-Xmx"): spec = opt[4:] ...
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import re def translate_mute(program): """ Replaces 'explain' magic comments in the given program for a rule version of those magic comments. @param str program: @return: """ for hit in re.findall( "(%!mute ((\-)?([_a-z][_a-zA-Z0-9]*(?:\((?:[\-a-zA-Z0-9 \(\)\,\_])+\))?)(?:[ ]*:[ ]*(.*)...
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def read_ds9(pfile): """ Read ds9 region file, just grab the RA/DEC circle(12:00:5.173,-29:58:50.149,10") ellipse(12:00:00.554,-29:59:46.400,9.600",8.800",359.99987) """ fp = open(pfile) lines = fp.readlines() fp.close() # out = [] for line in lines: w = line.split('(') ...
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def serialize_nested(session): """Serialize data using the nested mapper defined on this field. :param session: Kim pipeline session instance """ if session.data is None: session.data = session.field.opts.null_default return session.data # Grab the Mapper defined for the nested fi...
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import re def validate_user_data(user): """ this funtion validates the user data """ user['username'] = user['username'].lower() if user['username'] == '': return {'warning': 'username is a required field'}, 400 # Check for empty email elif user['email'] == '': return {'warning'...
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def gvariant(lst): """Turn list of strings to gvariant list.""" assert isinstance(lst, list), "{} is not a list".format(lst) content = ", ".join( "'{}'".format(l) for l in lst ) return '[{}]'.format(content)
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import requests def req_post(url, dat): """ :param url: :param dat: :return: """ try: return requests.post(url, json=dat, timeout=10) except (requests.ConnectionError, requests.Timeout) as exception: print("[x] No internet connection.") return None
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def aggregate(df, xvar: str): """Compute mean of xval column.""" groupedDf = df.select_dtypes('float64').groupby([xvar]) meanDf = groupedDf.mean() cnt = groupedDf.size() errDf = groupedDf.std().transform( lambda x: x / cnt.astype('float64') ) errNames = {x: x+'_err' for x in errDf.co...
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def compss_open(file_name, mode='r'): # type: (str, str) -> object """ Dummy compss_open. Open the given file with the defined mode (see builtin open). :param file_name: The file name to open. :param mode: Open mode. Options = [w, r+ or a , r or empty]. Default=r. :return: An object of 'file' ...
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import json import requests import random def mapquest_single_location(location, key): """ find the MapQuest location json for a single location Input: location Twitter location, check that it's not null before calling key MapQuest developer key Output: json ret...
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def url_for(server, *args): """ Generate versions REST url """ return "{}/v0/{}".format(server, "/".join(args))
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def intersection(surface, rect): """ Remove zone of out of bound from ROI Params: surface: image bounds is rect representation (top left coordinates and width and height) rect: region of interest is also has rect representation Return: Modified ROI with correct bounds """ l_x = max(sur...
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def _build_headers(range_): """ :type range_: list every split's range_ :rtype: dict """ headers = {"accept-encoding": '*', "User-Agent": "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.3; WOW64; Trident/7.0; \ .NET4.0E; .NET4.0C; .NET CLR 3.5.3...
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import math def _ceil(number): """Ceils the number in graph mode.""" return math.ceil(number)
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def can_view_cohorts(user): """To access Cohort views user need to be authenticated and either be an admin, or in a group that has the 'view cohorts' permission.""" return user.is_authenticated and user.has_perm('release.view_releasecohort')
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from typing import Counter import math def conditional_entropy(x, y): """ Calculates the conditional entropy of x given y: S(x|y) Wikipedia: https://en.wikipedia.org/wiki/Conditional_entropy :param x: list / NumPy ndarray / Pandas Series A sequence of measurements :param y: list / NumPy ...
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import os import stat def get_secret_token(token_environvar, token_file, logger): """ This loads the specified token file from the environment or the token_file. """ if token_environvar in os.environ: secret = os.environ[token_environvar] if...
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def iss(): """ ``iss`` field for tokens """ return "localhost"
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def parse_object(response, infotype): """ Parse the results of an OBJECT command """ if infotype in ('idletime', 'refcount'): return int(response) return response
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def evaluate_error(model, test_gen, no_test_sam): """ DESCRIPTION: Evaluate the network performance INPUT: The trained model, the test set generator, number of testing images OUTPUT: List of statistics about the performance of the model """ stats = model.evaluate_generator(test_gen, no_test_...
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import re def format_weibo(weibo): # , after_segment=False): """ 对于话题进行格式化,统一成一样含义的话题 :param weibo: # :param after_segment: 是否分词之后的微博 :return: """ # 微博话题还原 # if after_segment: # pattern = re.compile('#[^#]+#') # new_weibo = re.sub(pattern, lambda x: x.group(0).replace(...
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import torch def get_valid_negative_mask(labels): """ To be a valid negative pair (a,n), - a and n are different embeddings - a and n have the different label """ indices_equal = torch.eye(labels.size(0)).byte() indices_not_equal = ~indices_equal label_not_equal = torch.ne(labels.unsqueeze(1), labels.unsqu...
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def compoundInterestFutureValue(p, r, c, n): """Compound interest future value Returns: future value Input values: p : principal r : interest rate c : number of compounding periods in a year n : (c * t) , total number of compounding periods """ fv = (p * (1 + (r / c))) **...
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import os def gera_chave(): """Gera a chave aes secreta""" AES_tamanho_chave = 32 chave_aes_secreta = os.urandom(AES_tamanho_chave) return chave_aes_secreta
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import importlib def reload_os_and_fitting(): """Some tests patch os and need to reload the modules.""" os = importlib.import_module("os") os = importlib.reload(os) fit = importlib.import_module("..fitting", "freesas.subpkg") fit = importlib.reload(fit) return fit
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def signature(self): """ Returns the signature of the quadratic form, defined as: number of positive eigenvalues - number of negative eigenvalues of the matrix of the quadratic form. INPUT: None OUTPUT: an integer EXAMPLES: sage: Q = DiagonalQuadraticForm(Z...
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def rgb_to_hex(r, g, b): """ Convert RGB color to an Hexadecimal representation """ return "%02x%02x%02x" % (r, g, b)
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def _filter_keys(item, keys): """Filters all model attributes except for keys item is a dict """ return {k: v for k, v in item.iteritems() if k in keys}
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def str_to_bytearray(data): """ @type data: C{str} @rtype: C{bytearray} """ # we could also do: return map(ord, data), but it's slower return bytearray(data)
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def binary_lookup(index, offsets): """ Given a character index, look up the index of it in the offsets. This will be the number at which the next index is greater """ bottom = 0 top = len(offsets) - 1 if index > offsets[top]: return top while top - bottom > 1: mid = ...
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def _make_number(ctx, param, value): """converts a number to float/int""" if value: try: value = int(value) except ValueError: value = float(value) return value
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import unittest def _decorate_skip(method, reason): """unittest provides a built-in skip decorator that can be reused for disabled test cases that do not match the filter criteria. It is a parameterized decorator, so dynamic decoration syntax is convoluted """ return unittest.skip(reason)(...
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def enter_is_terminate(x): """This thing makes enter terminate the input.""" if x == 10: return 7 else: return x
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import os import sys def should_do_replacements(): """ Tell whether it is advisable to do version/author/email replacements. """ setup_dir = os.path.dirname(sys.argv[0]) # Don't do replacements if we're not running setup.py # from the project directory return setup_dir in [".", ""]
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import random def snp(sequence): """ Function takes a sequence string and introduces a single nucleotide polymorphism (SNP) Randomly finds an index in the string and replaces the value at the index with a new letter from the given alphabet. If the value is the same as the previous value, the funct...
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import csv def load_training3(infile): """Load training data with normalized unigram count, hamming distance, and query length. Args: infile: file name to load data from """ X = [] Y = [] with open(infile, 'r') as f: reader = csv.reader(f) for row in reader: if reader.line_num == ...
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def compute_whitespace(d): """Calculates the percentage of empty strings in a two-dimensional list. Parameters ---------- d : list Returns ------- whitespace : float Percentage of empty cells. """ whitespace = 0 r_nempty_cells, c_nempty_cells = [], [] for i in ...
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def clean_whitespace(contents: str) -> str: """ Return the given string with all line breaks and spaces removed. For some reason our mock service returns a SOAP response with lots of whitespace. """ lines = [line.strip(" \r\n") for line in contents.split('\n')] return ''.join(lines)
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import time import torch from typing import OrderedDict def load_model(model, model_file, is_restore=False): """Load model. :param model: created model. :param model_file: pretrained model file. :param is_restore: set true to load from model_file. """ t_start = time.time() if isinstance(m...
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import re def camel_case(words): """Convert a noun phrase to a CamelCase identifier.""" result = '' for word in re.split(r'(?:\W|_)+', words): if word: if word[:1].islower(): word = word.capitalize() result += word return result
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def key(profile): """Get a sorting key based on the lower case last name, then firstname""" components = profile["name"].lower().split(" ") return " ".join([components[-1]] + components[:-1])
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import random def _find_external_v4_ip(config): """ Determines the external IPv4 address. :type config: akanda.router.models.Configuration :param config: :rtype: str """ v4_id = config.external_v4_id if v4_id: return v4_id else: # fallback to random value return ...
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def insertion_sort(A, reverse = False): """Assumes A is a list of integers, by default reverse = False Returns the sorted A in non-decreasing order if reverse = False, and in non-increasing order if reverse = True. **************************************** The complexity of the algorithm...
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def get_first_time(dao, order_field, **kwargs): """ 最近的统计时间 """ row = dao.filter(**kwargs).order_by(order_field).first() if row is None: return None # attr = order_field if attr[:1] in ['+', '-']: attr = attr[1:] return getattr(row, attr)
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import importlib def get_model(model_name): """ Return an instance of the model model_name. Dynamic module discovery. """ module_name = 'strain.models.strain_' + model_name.lower() model_module = importlib.import_module(module_name) obj = getattr(model_module, model_name) return obj
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def impl_key_dict(value, priority=1): """to reduce duplicate code in configs.py and handcar_configs.py""" return { 'syntax': 'STRING', 'displayName': 'Implementation Key', 'description': 'Implementation key used by Runtime for class loading', 'values': [ {'value': val...
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import torch def gap__forward(ctx, self, inputs): """Rewrite `forward` of GlobalAveragePooling for default backend. Replace `view` with `flatten` to export simple onnx graph. Shape->Gather->Unsqueeze->Concat->Reshape become a Flatten. """ if isinstance(inputs, tuple): outs = tuple([self.g...
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import numpy def get_time_mask(data, time_limits=(-numpy.inf, numpy.inf)): """ Get a mask given the time limits. Parameters ---------- data: 1D Numpy array of floats The time values Returns ------- mask: 1D Numpy array of integers The mask """ mask = numpy.whe...
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def min_tss_dist(dist_seq): """ Find the TSS distance in `dist_seq` with minimum absolute value. We prefer negative TSS distances because we prefer upstream SNPs. That is to say, if the minimum absolute value in `dist_seq` is `n`, and both `n` and `-n` are present in `dist_seq`, choose `-n` ...
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import random import json def _retrieve_quote(json_filename): """ Retrieve a random quote entry from json_filename, very quickly, without loading the entire file into memory :param str json_filename: Name of .json file to open :return: Tuple of the form: (str(quote_text), str(quote_author)) ...
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import platform import subprocess def ping(host: str) -> bool: """Return if the host responds to a ping request. :param host: The hostname to ping :returns: True if an ICMP echo is received, False otherwise """ parameters = ['-n', '1'] if platform.system().lower() == 'windows' else ['-c', '1'] ...
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def compute_overdose_deaths(run, start_year, end_year, config, intervention): """Compute number of opioid overdose deaths from start_year to end_year. Parameters ---------- run: whynot.dynamics.Run Run object produced by running simulate for the opioid simulator start_year: int ...
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def _inverse_permutation_worker(permutation: list, items: list) -> int: """ The index of permutation in the Johnson-Trotter list of permutations of elements in items. """ if len(permutation) == 1: return 0 else: n = len(items) index = permutation.index(items[-1]) ...
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from typing import Set def format_entities(entities: Set[str]) -> Set[str]: """ Remove :param entity: :return: """ result = [] for entity in entities: if entity[-1] in [".", ",", "?", "!", ":"]: entity = entity[0:-1] entity = entity.replace("\n", " ") if...
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import os def xdg_config_home(): """Base directory where user specific config files should be stored.""" value = os.getenv('XDG_CONFIG_HOME') or '$HOME/.config/' return os.path.expandvars(value)
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def make_ArrayOfData(param, factory): """Generates ArrayOfData if input is a dictionary for list of dictionaries""" if isinstance(param, dict): return factory.ArrayOfData([{'field': field, 'value': value} for field, value in param.items()]) elif isinstance(param, list): data = [[{'field': fi...
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def sequential_search(target, lyst): """ in() 顺序搜索 Returns the position of the target item if found, or -1 otherwise. :param target: :param lyst: :return: """ position = 0 while position < len(lyst): if target == lyst[position]: return position positio...
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import torch def epipolar_residual_error(pts1, pts2, F): """ Args: pts1, pts2: (B, N, 3) F: (B, 3, 3) """ # # Version 1: # F = F.permute(0, 2, 1) # Move transpose inside # l2 = torch.bmm(pts1, F) # l1 = torch.bmm(pts2, F.permute(0,2,1)) # dd = ((pts2*l2).sum(2)) #...
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def check_obs(idx, obs): """Check every term in every sequence of obs and see if any term is >= idx or < 0. If true, return false. Otherwise return true. """ for o in obs: for term in o: if (term >= idx) or (term < 0): return False return True
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from dateutil.tz import tzlocal, gettz def to_system_time(dt): """ Converts a timezone aware datetime object to an object to be used in the messagebus scheduler :param dt: datetime object to convert :return: timezone aware datetime object that can be scheduled """ tz = tzlocal() if dt.tzi...
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import os import pickle def read_ellipsefit(objid, objdir): """Read the output of write_ellipsefit.""" ellipsefitfile = os.path.join(objdir, '{}-ellipsefit.p'.format(objid)) try: with open(ellipsefitfile, 'rb') as ell: ellipsefit = pickle.load(ell) except: #raise IOError ...
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import torch def to_gpu(x): """Move `x` to cuda device. Args: x (tensor) Returns: torch.Variable """ x = x.contiguous() if torch.cuda.is_available(): x = x.cuda(non_blocking=True) return torch.autograd.Variable(x)
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import os def create_preproc_filenames(subjects_dir, subject_id, in_T1s): """ This function.. :param subjects_dir: :param subject_id: :param in_T1s: :return: """ # Create output filenames inputvols = list() iscaleout = list() ltaout = list() orig_dir = os.path.join(sub...
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def adj(a): """ Calculates the adjugate of A via just swapping the values. The formula is [[a,b],[c,d]] => [[d,-b],[-c,a]] :param a: the matrix A(2x2) :return: """ B=[[0,0],[0,0]] B[0][0]=a[1][1] B[0][1]=-a[0][1] B[1][0]=-a[1][0] B[1][1]=a[0][0] return B
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def invertTreeIterative(self, root): """ :type root: TreeNode :rtype: TreeNode """ node_list = [root] while node_list: node_pop = node_list.pop() if node_pop: temp_node = node_pop.left node_pop.left = node_pop.right node_pop.righ...
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import math def floor_with_place(value, keep_decimal_place): """ 無條件捨去小數點後 N 位 Args: value(float): 數值 keep_decimal_place(2): 要保留到小數點第幾位, e.g 2,表示保留到第二位,後面的位數則無條件捨去 """ scale_value = math.floor(value * pow(10, keep_decimal_place)) result = scale_value / pow(10, keep_decimal_place) return result
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def command_composer(args, options, use_long=True): """Compose arguments and options. Parameters ---------- args : list or tuple Iterable of strings that will be joined on a space. options : list List of 3 element tuples where the elements are the following: * short_opt...
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import copy def merge(s): """ Given a nesting of TOML dictionaries, return a flat list of each scheme in `s`. This applies the inheritance used is configuration files so that each scheme has each attribute fully resolved. """ def settings_and_subschemes(d, defaults): settings, subs = {...
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from pathlib import Path import jinja2 def form_render(path: str, **kwargs) -> str: """ Just jinja2 """ file_text = Path(f"codegen\\templates\\{path}").read_text() template = jinja2.Template(file_text) return template.render(**kwargs)
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def get_config_of(tests, test_name): """ Find generic values of test """ for test in tests: if test.name == test_name: try: return test._test_case._config # pylint: disable=protected-access except AttributeError: return test._config # pyl...
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def ci_equals(left, right): """Check is @left string is case-insensative equal to @right string. :returns: left.lower() == right.lower() if @left and @right is str. Or left == right in other case. """ if isinstance(left, str) and isinstance(right, str): return left.lower() == right.lower() ...
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def get_trig_val(abs_val: int, max_unit: int, abs_limit: int) -> int: """Get the corresponding trigger value to a specific limit. This evenly devides the value so that the more you press the trigger, the higher the output value. abs_val - The current trigger value max_unit - The maximum value to re...
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def transpose(g): """Fonction qui, à l'aide d'une grille sous forme de liste contenant des listes, retourne une nouvelle grille pour laquelle on a inversé les colonnes et les lignes de la grille d'origine. Paramètre(s): - g list: Grille à transposer sous la forme de liste de liste. La liste parente...
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import random def complete(subjects, seed=None): """ Create a randomization list using complete randomization. Complete randomization randomly shuffles a list of group labels. This ensures that the resultant list is retains the exact balance desired. This randomization is done in place. Args: ...
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def error_responses_filter(responses): """ :param responses: :return: """ return [each for each in filter(lambda r: r.status_code >= 400, responses)]
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def ol(n): """olabel""" return n + 1
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import platform def GetOSPlatform(): """Get OS platform.""" try: return platform.system().lower() except IOError: raise AssertionError('Linux OS release not available.')
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from typing import Optional from typing import List import os import random import sys def _get_seeds(n_nightly_runs: int, seed: Optional[int]) -> List[int]: """ Gets a list of seeds based on environment variables and the seed function argument. If it is specified to both run the test multiple times and r...
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def format_time(seconds): """seconds: number returns a human-friendly string describing the amount of time """ minute = 60.00 hour = 60.00 * minute if seconds < 30: return f'{int(seconds * 1000)} ms' if seconds < 90: return f'{round(seconds, 2)} seconds' if seconds < 9...
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import sys def is_in_ipython(): """Funktionen returnerar True om scriptet kors under ipython """ return "IPython" in sys.modules
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def str_to_int(num_str): """ Converts string into number. Parameters: num_str: a string to be converted into number Returns: numeric value of the string representing the number """ if num_str.lower().startswith('0x'): return int(num_str[2:], 16) return int(num_str...
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def D(x, y): """ Converts D/data codes to bytes. Does not result in 8b10b data; requires explicit encoding. See the USB3 / PCIe specifications for more information. """ return (y << 5) | x
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from typing import List def scale_prev_up_to_1(prev_vals: List[float], fraction: float): """ Apply a percentage to the previous value, saturating at one or zero """ val = prev_vals[-1] * fraction if val > 1: return 1 elif val < 0: return 0 else: return val
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def checkIfExist(self, arr): """ :type arr: List[int] :rtype: bool """ A=arr if A.count(0) > 1: return True S = set(A) - {0} for a in A: if 2*a in S: return True return False
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def file_len(filepath): """ Static function to return the number of lines in a given file :return: """ num_lines = 0 with open(filepath, encoding="utf-8") as f: for i in f: num_lines += 1 return num_lines
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def generate_class_label_presence(data, state_variable ="target"): """ generates class label only for presence on a copy of data using only the columns Removes: Pause and merges 'Step' and 'Stand' to same class """ r_data = data.copy() r_data = r_data[ ~r_data['target'].str.contains("Pause") ] ...
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def manhattan_distance(start, end): """Calculate the Manhattan distance from a start point to an end point""" return abs(end.x - start.x) + abs(end.y - start.y)
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def parse_alignment(alignment): """ Parses an alignment string. Alignment strings are composed of space separated graphemes, with optional parentheses for suppressed or non-mandatory material. The material between parentheses is kept. Parameters ---------- alignment : str The a...
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