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import json def get_top_python_packages(top_n=100): """ Generate list of most downloaded python packages Args: top_n: the number of most downloaded packages to return Returns: (list) Names of most downloaded packages """ # JSON file containing top 4000 packages # found he...
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import argparse def parse_args(): """Parses arguments.""" parser = argparse.ArgumentParser(description='Conduct Sefa.') parser.add_argument('--config', type=str, help='Path to the Sefa configuration.') return parser.parse_args()
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def get_arrhythmia_type(fields): """Returns type of arrhythmia based on fields of the sample Arguments --------- fields: fields of sample read from wfdb.rdsamp Returns ------- Type of arrhythmia 'a': asystole 'b': bradycardia 't': tachycardia 'f': ventricula...
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def chain_3(d3f_dg3, dg_dx, d2f_dg2, d2g_dx2, df_dg, d3g_dx3): """ Generic chaining function for third derivative .. math:: \\frac{d^{3}(f . g)}{dx^{3}} = \\frac{d^{3}f}{dg^{3}}(\\frac{dg}{dx})^{3} + 3\\frac{d^{2}f}{dg^{2}}\\frac{dg}{dx}\\frac{d^{2}g}{dx^{2}} + \\frac{df}{dg}\\frac{d^{3}g}{dx^{3}} ...
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def calc_qty_from_value(row): """ Estimates product quantity based on product value and food group Args: row (): see extrapolate_qty_from_productvalue() function Returns: qty (float): Product quantity estimation (g) """ value = abs(row.CP_MontantTotal) food_group = row.P_food...
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def nextIteration(pagerankvector: list, outlinkvector: list, adjMatrix: list, dampingfactor: float) -> list: """Takes the page rank vector and adjacency matrix of network of pages and returns the page rank performing one iteration of the page rank algorithm.""" nodeCount = len(adjMatrix) newpageRankVect...
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import warnings def ditto(request): """ Deprecated. """ warnings.warn("The ditto context_processor is no longer used.", DeprecationWarning) return {}
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import subprocess def getsnapshots(): """Reads all current local snapshots returns: List of snapshots """ cmd = subprocess.Popen(['tmutil', 'listlocalsnapshotdates'], stdout=subprocess.PIPE, stderr=subprocess.STDOUT) snapshots, _ = cmd.communicate() snapsho...
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def createProperMovieDictionary(raw_dict): """ Takes the dictionary provided by the request (full of strings) and formats it where some variables need to have other types (e.g int, float) also escapes all the single quotes characters in strings :param raw_dict: the raw dictionary with the movie inf...
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import argparse def _parse_arguments(): """Parse commandline arguments. :returns: argparse.Namespace with arguments. """ parser = argparse.ArgumentParser(description="Generate allure report.") parser.add_argument( "--data-location", dest="data_location", default="data", help="Loca...
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def get_phred_query(sample_id, gt_ll, genotype, prefix=" and ", invert=False): """Default is to test < where a low value phred-scale is high confidence for that genotype >>> get_phred_query(2, 22, "het") ' and gt_phred_ll_het[1] < 22' >>> get_phred_query(2, 22, "het", prefix="") 'gt_phred_ll_he...
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def yfun(p,B,pv0,f): """ Steady state solution for y without CRISPR """ return (B*p-p/pv0-f*(B*p-p/pv0+1))/(p*(B*p-p/pv0+1))
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def _command_to_string(cmd): """Convert a list with command raw bytes to string.""" return ' '.join(cmd)
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def get_racecar_camera_topics(racecar_name): """ The camera topics where the racecar publishes the frames Arguments: racecar_name (str): The name of the racecar """ return [ "/{}/main_camera/zed/rgb/image_rect_color".format(racecar_name), "/sub_camera/zed/rgb/image_rect_color" ...
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def string_preset(preset): """ Print preset """ string = '{\n' for attr in list(preset.keys()): string = "{0} {1}: {2},\n".format(string, attr, preset[attr]) string += '}\n' return string
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import numpy def _parse_UB_matrix(header_line): """Parse G3 header line and return UB matrix :param str header_line: G3 header line :return: UB matrix """ return numpy.array(list(map(float, header_line.split()))).reshape((1, 3, 3))
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def links_as_text(code): """ ersetzt alle Vorkommen von '<a href="xxxxxxxx" ... >yyyy</a>' durch '(xxxxxxxx : yyyy)' """ def link_as_text(code): ret = code i = code.rfind('<a href="') if i>-1: j = code.find('"', i+9) k = code.find('>', j) l = code.find('<', k) ret = code[:i] + '...
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def test_class_objects(): """类对象。 类对象支持两种操作: - 属性引用 - 实例化 """ # 属性引用使用Python中用于所有属性引用的标准语法: obj.name. # 有效的属性名是创建类对象时类的命名空间中的所有名称。 # 对于MyCounter类,以下引用是有效的属性引用: class ComplexNumber: """复数类的例子""" real = 0 imaginary = 0 def get_real(self): ...
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from pathlib import Path def find_modules(x): """Get all python files given a path Args: x (string): file path Returns: (list): recursive list of python files including sub-directories """ return Path(x).rglob('*.py')
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def medium_file(file_path): """Open a medium file (headerless tsv, 2 columns (str, float)) Return a generator of (str, float) tuples This function is used by argparse for type validation.""" def row_generator(file_path): with open(file_path, "r") as fh: for line in fh: ...
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import subprocess def run_command (cmd): """ Run command from command line """ #p = subprocess.call(cmd, shell=True) p = subprocess.Popen(cmd, shell=True).communicate() return p
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def score(board): """ This function takes a nested list of numbers representing a Reversi board and returns the score of player 1 and 2 out of that board. :param board: nested list of integers that represent a Reversi board :returns: a tuple (s1, s2) representing the points of player 1 ...
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from typing import Any import hashlib def hashname_from_data(data: Any) -> str: """ Donne le haché des données en string python. Mauvais pour une utilisation classique du haché, mais utile pour des noms de fichier. Args: data: Données à hacher Returns: Une chaine de caractères. ...
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def rules_cidrs_and_security_groups(rules): """ Return a dict with keys "cidrs" and "sgids" from a list of security group rules. :param rules: list of security group rules :type rules: list :return: Dict with keys "cidrs" and "sgids" :rtype: dict """ cidrs = set( ip_range["...
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def get_WFC_G800L_WCS(): """ Defines parameters for the ACS/WFC/G800L slitless mode @return: slitless mode parameters @rtype: dictionary """ wcs_keys = {} #grism image "j8qq12kgq": #/ World Coordinate System and Related Parameters wcs_keys['grism'] = [ ['WCSAXES ',2,'number ...
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def dimer_true(dataframe, col_num, dimer_list): """ Boolean masks to let us know which primers from original df form dimers. If so they are dropped. Args: dataframe (pd.DataFrame): the primer dataframe col_num (int): the column number to check for primer match dimer_list (list): ...
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def child_dir_name(parent, child): """return the child directory name truncated under the parent""" if parent == '' or child == '': return child plen = len(parent) clen = len(child) if child[0:plen] != parent: return child # not a proper child # return everything after separator if clen < ple...
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def seq_from_truth_table(table, order): """ Computes the binary sequence string from a given truth table. Currently, this function assumes that the truth table describes a de Bruijn sequence. Parameters ---------- table : dict A mapping from binary strings of length `n` to 0 or 1. ...
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from typing import Dict from typing import Any from typing import Union def get_cluster_mode( cycle_config: Dict[str, Any], ) -> Union[None, str]: """ Decode the cluster mode from the cycle configuration. Currently only a `slurm`, `local`, or None mode are available. Parameters ----------...
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def nmove(m: int, n: int) -> float: """minimum number of moves :param m: number of disks :param n: number of rods :return: minimum number of moves """ n = min(m + 1, n) if n == 2: return 1 if m == 1 else float("inf") elif n == 3: return 2 ** m - 1 elif n == m + 1: ...
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def _select_last_iteration_only(jobs): """ Looks through a list of jobs and removes duplicates (only keeps last iteration of a particular job) """ jobs_by_name = {} for job in jobs: if job.name in jobs_by_name: jobs_by_name[job.name].append(job) else: jobs...
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def get_the_attr_from_objList(obj_list, attr_by, attr_by_value, target_attr, attr_exclude=None, attr_exclude_value=None): """ 从对象列表中根据对象中某属性匹配指定对象,返回该对象中目标属性, 指定排除属性和值 :param obj_list:对象列表,数据结构如[{}, {}, {}] :param attr_by:用于匹配对象的属性名 :param attr_by_value:用于匹配对象属性名的值 :param target_attr:目标属性名 :...
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def extract_hashtags(hashtags_string): """ Split the string of hashtags into a list of hashtags :param hashtags_string: hashtags as a single string :return: list of hashtags """ hashtags = hashtags_string.split() return hashtags
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def sampleFunction2(x2: int, y2: float) -> float: """ Multiply int and float sample. :param x2: x value :type x2: int :param y2: y value :type y2: float :return: result :return type: float """ return x2 * y2
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def midi2freq(midi_number): """ Given a MIDI pitch number, returns its frequency in Hz. Source from lazy_midi. """ midi_a4 = 69 # MIDI Pitch number freq_a4 = 440. # Hz return freq_a4 * 2 ** ((midi_number - midi_a4) * (1. / 12.))
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def data(package): """ Return the PackageData for the given package.""" return package.__rdata__
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import json def format_str(str_value, is_json): """ Returns a formatted string with break lines; if is_json True, pretty format the output :param str_value: plain text or json value :param is_json: Boolean :return: str """ str_value = json.dumps(str_value, indent=4, sort_keys=True) if is_j...
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def conv_unit(x, unit1, unit2): """Utility function for pressure unit conversion""" units = {"atm": 1, "kPa": 101.3, "in Hg": 29.92, "mm Hg": 760, "torr": 760, "psi": 14.69, "Pa": 1.013e5 } if unit1 not in units: ...
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def default_empty(default): """Check an input against its falsy value or return a default.""" def get_value(test_value): if test_value: return test_value else: return default return get_value
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def _find_error_code(e): """Gets the approriate error code for an exception e, see http://tldp.org/LDP/abs/html/exitcodes.html for exit codes. """ if isinstance(e, PermissionError): code = 126 elif isinstance(e, FileNotFoundError): code = 127 else: code = 1 return cod...
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def take_guess(force_upper: bool = True) -> str: """Take input from user and handle mistakes.""" guess = input() # Check for incorrect length while len(guess) != 5: print("Your guess is the incorrect length. It must be 5 characters. " "Try again:") guess = input() # K...
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def hgcSiSensorCCE(sensor,version): """ this method returns different parameterizations of the charge collection efficiency (CCE) for different sensor types (sensor) and measurement versions (version) sensor = 120,200,300 version = TDR_{600V,800V} - TDR based measurements at different voltages ...
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def make_behaving(ary, dtype=None): """ Make sure that `ary` is a "behaving" bohrium array of type `dtype`. Requirements for a behaving array: * Is a bohrium array * Points to the first element in the underlying base array (no offset) * Has the same total length as its base Parameters -...
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from pathlib import Path def file_exists(filename): """ Returns true if file exists :param filename: The file name to check :type filename: str :returns: True if file exists :rtype: bool """ file_handle = Path(filename) if file_handle.is_file(): return True else: r...
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import os import errno def is_running_posix(pid): """Return True if process of pid is running. Args: pid(int): pid of process which this function checks whether it is running or not. Returns: bool: True if process of pid is running. Raises: OSError if something happens in os.kill(...
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def trim_streams(streams, start = None, end = None): """ Trims streams to the same overall time span. :return: list of trimmed streams """ max_start_time = start min_end_time = end for stream in streams: current_start = min([x.stats.starttime for x in stream]) current_end =...
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def center_y(display_height: int) -> int: """ Find the vertical center position of given screen/space/display Parameters: display_width (int) : The character height of the screen/space/display Returns: (int): Vertical character number """ return display_height // 2
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def parse_syntax(line): """ >>> parse_syntax('syntax: glob') 'glob' >>> parse_syntax('syntax: regexp') 'regexp' >>> parse_syntax('syntax: none') Traceback (most recent call last): ... Exception: Unknown syntax "none" """ line = line.replace(':', ' ') _, syntax = line.spli...
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def get_hosts_content(): """ gets content of hosts file """ with open ("/etc/hosts","r") as myfile: hosts_text = myfile.readlines() return hosts_text
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def boundCreator(mus, sigmas, c=3): """ Creates interval around the mean Parameters ---------- mus : array of shape [Num flights, time-steps, num of features] the mean temporal values to be used. sigmas : array of shape [Num flights, time-steps, num of features] the temporal sta...
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def coerce_to_bool(x: str) -> bool: """Convert string to bool value.""" if x.lower() in ('true', 'yes', 'on', '1', 'false', 'no', 'off', '0'): return x.lower() in ('true', 'yes', 'on', '1') raise ValueError()
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from typing import Any from typing import Optional from typing import List import os def _add_config_from_env(app: Any, config_key: str, env_variable: str, missing_list: Optional[List[str]] = None, default_value: Any = None)-> bool: """ Function for adding con...
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def mock_health_response(status) -> dict: """ Mocks the cluster health response :return: """ response = { "cluster_name": "elasticsearch", "status": status, "timed_out": False, "number_of_nodes": 1, "number_of_data_nodes": 1, "active_primary_shards": 9...
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import sys import subprocess def subprocess_check_output(cmd, *args, **kwargs): """ Wrapper around subprocess.check_output which is not available under Python 2.6. """ if sys.version_info < (2, 7, 0): output = subprocess.Popen( cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT,...
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import numpy def get_negatives_positives(score_lines): """Take the output of load_score and return negatives and positives. This function aims to replace split_four_column and split_five_column but takes a different input. It's up to you to use which one. """ pos_mask = score_lines["claimed_id"]...
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def get_ua_platform(user_agent): """Get platform (mobile, tablet, pc).""" if user_agent.is_mobile: return "mobile" elif user_agent.is_tablet: return "tablet" elif user_agent.is_pc: return "pc" else: return "unknown"
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import numpy def psfSharpness(psf): """ Calculates how 'sharp' the PSF is as defined here by how large the mean frequency component is. The idea is that a better average PSF will be less blurred out, so it will have more power in the larger frequencies. """ psd = numpy.abs(numpy.fft.fftn(...
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def average(a, b): """ Decorator ensures that this function can be used in a Tangled graph """ return (a + b) / 2
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import socket def dns_exchange(dnsIp, dnsQuery, dnsAnswer): """ Exchange DNS query and wait answer """ result = None sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) try: sock.settimeout(1) query = dnsQuery.serialize() sock.sendto(query, (dnsIp, 53)) answer = sock.recv(1024) try: dnsAnswer.uns...
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def format_field(val: int, show: bool) -> str: """ Format a field """ return f'{val:>8}' if show else ""
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def create_deterministic_delayer(delay): """ Create a deterministic delayer that always returns the same delay value Args: delay (float): Delay value to return Returns: function: delayer """ assert delay >= 0, "Inputted delay must be non-negative!" return lambda: delay
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def num_of_words_in_string(strng): """ :param strng: The string of which the words should be counted. :returns: The number of words in the string. :type strng: str :rtype: int """ return len(strng.split(' '))
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def check_bounds(position, size): """ Checks whether a coordinate is within the indices of a grid. Parameters ---------- position: list the coordinate to check for within the grid size: int the size of the grid to compare the coordinate values to Return --------...
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def field_validator(value, validators: set) -> bool: """ Execute a set of validator functions (the _is_x) against a value. Return True if any of the validators are True. """ return any([True for validator in validators if validator(value)])
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import re def get_sort_version(config, version): """ Returns a form of the version obtained from the execution of get_migration_filename_info() call that can be properly sorted. """ noAlpha = re.compile('[^0-9.]+') return tuple(int(x) for x in noAlpha.sub('', version).split('.'))
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from typing import Union import sys from pathlib import Path import yaml def parse_and_validate_conda(conda: Union[str, dict]) -> Union[str, dict]: """Parses and validates a user-provided 'conda' option. Conda can be one of three cases: 1) A dictionary describing the env. This is passed through direc...
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def get_fieldnames(content): """ Return the longest Dict Item for csv header writing """ item_length = 0 csv_header = [] for item in content: if len(item) >= item_length: longest_item = item item_length = len(item) for key in longest_item.keys(): ...
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def line_filter(regexp, lines): """ Filter each line of input by a regular expression. If the regular expression is not matched, then the line is not output. """ output = [] for line in lines: match = regexp.match(line) if match: output.append(line) return outpu...
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def to_native(s): """转成 str :type s: Union[str, bytes] :rtype str """ if isinstance(s, bytes): return s.decode('utf-8') return s
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def get_nonblocking(queue): """ Get without blocking from multiprocessing queue""" try: resp = queue.get(block=False) except Exception as e: resp = None return resp
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def move(password, position_x, position_y): """Move letter from position_x to position_y. Letter should be removed from password and inserted at position_y. """ to_move = password.pop(position_x) password.insert(position_y, to_move) return password
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def splinter_driver_kwargs(): """Webdriver kwargs.""" return {}
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def predict_raw(model, periods): """Returns the raw output of a Prophet model. Paramaters ---------- model : dict A trained Prophet model created with init_fit. periods : int The number of periods to forecast. cap : float An upper limit for the case of logistic growt...
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def compss_wait_on(obj): """ Dummy compss_wait_on :param obj: The object to wait on. :return: The same object defined as parameter """ return obj
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from typing import List def count_trees(tree_map: List[str], dx: int, dy: int) -> int: """Count trees (`#`) in the tree map. Args: tree_map (List[str]): a list of `.` and `#` (trees) Returns: int: number of trees """ count = 0 for i, row in enumerate(tree_map[::dy]): ...
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def get_dict_dot(d: dict, key: str, default=None): """ Gets an entry from a dictionary using dot notation key, eg: this.that.something """ try: if isinstance(d, dict) and key: split = key.split(".") value = d.get(split[0], None) if value is not None: i...
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import pandas def signals_to_positions(signals, init_pos=0, mask=('Buy', 'Sell', 'Short', 'Cover')): """ Translate signal dataframe into positions series (trade prices aren't specified. WARNING: In production, override default zero value in init_pos wi...
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def get_list_components(namefile): """ Get list of components in medoc list : COMPO.txt""" list_comp =[] with open(namefile, 'r') as f: for line in f: new_line = line.replace('\n', '') new_line = new_line.split(' ') compo = new_line[2] if not compo in ...
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def edge_list_get_tail_index(edge_list, tail_index): """ Takes a list of edges and returns an edge if the tail_index matches the given index, or None otherwise. """ for edge in edge_list : if edge.tail_index == tail_index : return edge return None
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import math def _fraction2str(num, decimals=2): """ Helper method to pretty print percentages. Args: num: A number in the range [0,1]. """ if isinstance(num, str): return num mult = math.pow(10, decimals) if num < 0.5/mult: return "0" ret = str(int(num*mult+.5)/...
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def all_lines_at_idx(mm, idx_list): """ return a list of lines given a list of memory locations follow up on all_lines_with_tag e.g. all_lines_at_idx(mm, all_lines_with_tag(mm, 'Atom') ) reads ''' Atom 0 0 0 0 Atom 1 1 1 1 Atom 2 2 2 2 ''' Args: mm (mmap.mmap): memory map to file idx_list (li...
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def get_github_stars(github_page_data): """Retrieve number of github stars from github data""" num_stars = "No github found" if github_page_data["github_page"]: # If data on github comes form github API, parse json if github_page_data["github_data_source"] == "API": num_stars =...
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def _get_attrs_items(obj): """Returns a list of (name, value) pairs from an attrs instance. The list will be sorted by name. Args: obj: an object. Returns: A list of (attr_name, attr_value) pairs. """ return [(attr.name, getattr(obj, attr.name)) for attr in obj.__class__.__attrs_attrs__...
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def analyze(data_frame, col): """ 按照指定列分组统计 :param data_frame: DataFrame :param col: 列名 :return: DataFrame """ df = data_frame.groupby([col])[col].count() \ .reset_index(name='num').sort_values(by='num', ascending=False) total = df['num'].sum() df['percent'] = round(df['num']...
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def addElementInTuple(arr, elt): """ :param list arr: The list to manipulate arr format -> [(x,x,{}), (x,x,{}), (x,x,{})] :param dict elt: The element to insert """ arrs = [] for tpl in arr: tpl[2].update(elt) arrs.append(tpl) return arrs
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def safe_col_name(args_pair): """Ensure that the column name is safe for SQL (unique value, no spaces, no trailing punctuation). Typically called with `df.columns = [*map(safe_col_name, enumerate(df.columns.to_list()))]` Args: args_pair: tuple of arguments from map function in `(idx, col)` Re...
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def get_input_method(): """Collects the input method the user desires. This function prompts the user as to whether they want to use a GUI or the CLI. The function will loop until valid input is achieved. It uses the 'loop and a half' method to allow users to correct invalid input. """ types = ...
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import json import hashlib def hash(block) -> str: """ Hashes a block :param block: <dict> block (see example-block.py) :return: <bytes> hash of block - Returns block hash as bytes """ block_encoded = bytes(json.dumps(block, sort_keys=True).encode()) # Sorted to ensure consistent hash...
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def get_datas_from_line(line): """Doc to do.""" line = line.split(',') values = [float(v)*100 for v in line[1:]] # values = ["%.2f" % round(v, 2) for v in values] return values
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def format_sec_fixed(sec): """Format seconds in a fixed format.""" return '%d:%02d:%02d' % (int(sec / 3600), int(sec % 3600 / 60), int(round(sec % 60)))
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def temp_column_name(*dataframes): """Gets a temp column name that isn't included in columns of any dataframes Parameters ---------- dataframes : list of Pandas.DataFrame The DataFrames to create a temporary column name for Returns ------- str String column name that looks ...
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def get_func_and_script_url_from_initiator(initiator): """Remove line number and column number from the initiator.""" if initiator: return initiator.rsplit(":", 2)[0].split(" line")[0] else: return ""
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def format_array(arr, precision=4): """ Create a string representation of a numpy array with less precision than the default. Parameters ---------- arr : array Array to be converted to a string precision : int Number of significant digit to display each value. Returns ...
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def get_default_args(): """return a dictionary with key as argument name and value as additional arguments""" return { # GPT_ARGS "--num-layers": "2", "--hidden-size": "128", "--num-attention-heads": "4", "--seq-length": "256", "--max-position-embeddings": "256", ...
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def add_args(parser): """ parser : argparse.ArgumentParser return a parser added with args required by fit """ parser.add_argument('--dataset', type=str, default='lending_club_loan', metavar='N', help='dataset used for training') parser.add_argument('--client_number', ty...
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def _create_merged_rule(rule_1, rule_2): """ Finds a rule which is the least general rule that is more general than both argument rules. """ neurons = set((l, n) for (l, n, t, b) in rule_1).intersection((l, n) for (l, n, t, b) in rule_1) new_rule = [] for (l_i, n_i) in neurons: bigger_t_1 = [t for (l, n, t, b) ...
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def in1d_sorted(ar1, ar2): """ Does the same than np.in1d but uses the fact that ar1 and ar2 are sorted. Is therefore much faster. """ if ar1.shape[0] == 0 or ar2.shape[0] == 0: # check for empty arrays to avoid crash return [] inds = ar2.searchsorted(ar1) inds[inds == len(ar2)] = 0 ...
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def black_percentage(rgb): """ rgb: rgb tuple of a pixel returns: pixel percentage of black """ if isinstance(rgb, int): return 100 - rgb return 100 - (int((((rgb[0] + rgb[1] + rgb[2])/3)*100)/255))
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def _align(value, alignment): """Find the smallest multiple of `alignment` that is at least as large as `value`.""" return ((value - 1) // alignment + 1) * alignment
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import csv def csv_sniff(data, enc): """Given a list, sniff the dialect of the data and return it. Args: data - list like ["col1,col2,col3"] enc - python encoding value ('utf_8','latin-1','cp870', etc) Returns: csv.dialect.delimiter """ data = data.decode(enc) dialect...
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