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def _func_overhead(q, p, n): """ Model function to calculate the overhead. :param q: Actual overhead parameters values :param p: Numbers of cores used on model data :param n: Problems size used on model data :return: calculated overhead value """ return q[0]+(q[1]*p)/pow(q[2], n)
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def _f1(precision: float, recall: float) -> float: """ Compute f1. :param float precision :param float recall :return: f1 :rtype: float """ if precision == recall == 0: return 0 return 2 * precision * recall / (precision + recall)
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def CleanIndent(text, prefix=''): """Remove extra indentation from comments or code. This allows code to be written as triple-quoted strings with natural indentation in the python file, and that indentation will be removed and replaced with the provided prefix. Args: text: Input code prefix: will be...
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def escape(v): """ Escapes values so they can be used as query parameters :param v: The raw value. May be None. :return: The escaped value. """ if v is None: return None elif isinstance(v, bool): return str(v).lower() else: return str(v)
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def _css_select(soup, css_selector): """ Returns the content of the element pointed by the CSS selector, or an empty string if not found """ selection = soup.select(css_selector) if len(selection) > 0: if hasattr(selection[0], 'text'): retour = selection[0].te...
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import re def is_compatible(source_version, compat_versions): """ Compare a source version string to a set of target version string specifications. Supports semantic versioning comparison via setuptools version comparison logic (http://setuptools.readthedocs.io/en/latest/setuptools.html#id7). :param ...
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def edge_color_weight(G,edgelist=None): """Automatically calculate a normalized reasonable color for a weighted graph Parameters: ----------- G: A networkx Graph edgelist: A list Edges to calculate the weights for if None, uses all edges Returns: -------- weight_dict: A dictio...
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import csv def env_reader(infile: str) -> list: """ Read environment list from infile. Parameters ---------- infile : str Name of the file containing the environment list. Returns ------- list Nested (2D) list of the environment. """ with open(infile, 'r') as ...
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def axis_list(n_axes: int, reverse=False) -> str: """Returns a comma-separated list of axis TypeVar short names. Args: n_axes: Maximum number of axes to include in the list. n_axes=1 -> 'A1', n_axes=2 -> 'A1, A2', etc. reverse: If False, the returned list starts from A1 and counts up to An. ...
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def mult_saturate(a, b, upper_bound, lower_bound): """ Returns the saturated result of a multiplication of two values a and b Parameters ---------- a : Integer Multiplier b : Integer Multiplicand upper_bound : Integer Upper bound f...
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def _GetReleaseTracks(release_tracks): """Returns a string representation of release tracks. Args: release_tracks: API versions to generate release tracks for. """ release_tracks_normalized = '[{}]'.format(', '.join( [track.upper() for track in sorted(release_tracks)])) return release_tracks_normal...
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def get_wsgi_header(header): """Returns a WSGI compliant HTTP header. See https://www.python.org/dev/peps/pep-3333/#environ-variables for information from the spec. """ return 'HTTP_{}'.format(header.upper().replace('-', '_'))
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def proportion_of_traffic_from_top_users(tweets, users_with_freq, n): """ Return the percentage of the traffic that comes from the n most active accounts in a list of tweets. :param tweets: the list of tweets, represented as dictionaries. :param users_with_freq: a Counter of usernames with the num...
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def is_valid_lindblad_paramtype(typ): """ Whether `typ` is a recognized Lindblad-gate parameterization type. A *Lindblad type* is comprised of a parameter specification followed optionally by an evolution-type suffix. The parameter spec can be "GLND" (general unconstrained Lindbladian), "CPTP" (cp...
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def make_GeoJson(geoms, attrs): """ Creates GeoJson structure with given geom and attribute lists; throws exception if both lists have different length :param geoms: list of geometries (needs to be encoded as geojson features) :param attrs: list of attributes :return: dict in GeoJson structure "...
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def combine_bytes(reorder): """Combine list of bytes into one binary sequence""" o = b'' for r in reorder: o += r return o
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def adjust_error_on_warning_flag(flag, step, language): """ Adjust a given compiler flag according to whether this is for configure or make. """ assert language in ('c', 'c++') assert step in ('configure', 'make') if language == 'c' and flag in ('-Wreorder', '-Wnon-virtual-dtor'): # Skip...
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def x_to_ab(x, p, q): """ Given some integer x mod pq, returns the CRT representation (x mod p, x mod q) (CRT -> Chinese Remainder Theorem). """ return x % p, x % q
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def is_number(num): """Checks if num is a number""" try: float(num) except ValueError: return False return True
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def ok_for_raw_triple_quoted_string(s, quote): """ Is this string representable inside a raw triple-quoted string? Due to the fact that backslashes are always treated literally, some strings are not representable. >>> ok_for_raw_triple_quoted_string("blah", quote="'") True >>> ok_for_raw_tr...
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import json def read_fps(json_file_path): """ Open json file, read the fps the data was recorded at. input: json file path output: int (fps) """ with open(json_file_path) as f: data = json.load(f) fps = data['fps'][0] return fps
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def separate_artists_list_by_comparing_with_another( another_artists_list, compared_artist_list ): """ Input: Two list of artists_id Return two lists containing: - Every artist in compared_artist_list that are in another_artists_list - Every artist in compared_artist_list that are not in anothe...
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def _is_items(lst): """Is ``lst`` an items list? """ try: return [(a, b) for a, b in lst] except ValueError: return False
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from typing import List def get_drop_columns_binary(categoricals: List[str], columns: List[str]) -> List[str]: """ Selects the columns which can be dropped for one-hot-encoded dfs without drop_first. Is mainly needed to transform into drop_first encoding Parameters ---------- categoricals: n...
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def process_predictions(lengths, target, raw_predicted): """ Removes padded positions from the predicted/observed values and calls inverse_transform if available. Args: lengths: Lengths of the entries in the dataset. target: Target feature instance. raw_predicted: Raw predicted/...
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def get_start_end_from_string(start_end): """ 111.222 => 111, 222 """ start, end = start_end.split(".") start = int(start) end = int(end) return(start, end)
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def get_weighted_mean(distribution: list, weights: list) -> float: """ :param distribution: list of int or float to calculate the weighted mean :param weights: weights list :return: the weighted mean of distribution list """ numerator = sum([distribution[i] * weights[i] for i in range(len(distri...
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from typing import List def cross_over(input_data: List, value: int): """return true if input_data crossed over value otherwise false""" return input_data[-1] > value > input_data[-2]
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def prod_nadate_process(prod_df, prod_col_dict, pnadrop=False): """ Processes rows of production data frame for missing time-stamp info (NAN). Parameters ---------- prod_df: DataFrame A data frame corresponding to production data. prod_df_col_dict: dict of {str : str} A d...
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def wrap_seq_string(seq_string, n=60): """Wrap nucleotide string (seq_string) so that each line of fasta has length n characters (default n=60) Args: seq_string (str): String of DNA/protein sequence n (int): Maximum number of characters to display per line Returns: (str): String o...
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def jib(foot, height): """ jib(foot,height) -> area of given jib sail. >>> jib(12,40) 240.0 """ return (foot*height)/2
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def _mac_to_oid(mac): """Converts a six-byte hex form MAC address to six-byte decimal form. For example: 00:1A:2B:3C:4D:5E converts to 0.26.43.60.77.94 Returns: str, six-byte decimal form used in SNMP OIDs. """ fields = mac.split(':') oid_fields = [str(int(v, 16)) for v in fiel...
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def get_amr_line(input_f): """ Read the file containing AMRs. AMRs are separated by a blank line. Each call of get_amr_line() returns the next available AMR (in one-line form). Note: this function does not verify if the AMR is valid """ cur_amr = [] has_content = False for line in input...
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def read_obs(obs_file): """ Function to read in observation data from text file each line should be formatted as "T ill V J" """ f = open(obs_file, 'r' ) f.readline() # there's a header with column labels obs_T, obs_ill, obs_V, obs_J = [], [], [], [] for line in f: l=line.s...
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def fake_answer_questionnaire(input_str, answer_options, multiple_choice_questions): """Imitates the ability of a self-aware model to answer questions about itself, as in answer_questionnaire subtask Args: input_str: String. The model's input, containing a question about the model answer_option...
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import math def make_jc_matrix(t, a=1.): """ Returns Juke Cantor transition matrix t -- time span a -- mutation rate (sub/site/time) """ eat = math.exp(-4*a/3.*t) r = .25 * (1 + 3*eat) s = .25 * (1 - eat) return [[r, s, s, s], [s, r, s, s], [s, s, r, s],...
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def parse_ipmi_sdr(output): """Parse the output of the sdr info retrieved with ipmitool""" hrdw = [] for line in output: items = line.split("|") if len(items) < 3: continue if "Not Readable" in line: hrdw.append(('ipmi', items[0].strip(), 'value', 'Not Reada...
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from pathlib import Path def repository(tmp_path: Path) -> Path: """Fixture for a repository.""" path = tmp_path / "repository" path.mkdir() (path / "marker").write_text("Lorem") return path
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def latest_actions_only(items): """Keep only the most recent occurrence of each action, while preserving the order""" used = set() res = [] for item in reversed(items): if item not in used: res.append(item) used.add(item) return reversed(res)
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def planet(armageddon): """Return a default planet (exponential atmosphere)""" return armageddon.Planet()
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def mult_with_submatrix(A, columns, x): """Computes :math:`b = A[:, I] x` """ A = A[:, columns] return A @ x
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def set_cover(X, subsets): """ This algorithm finds an approximate solution to finding a minimum collection of subsets that cover the set X. It is shown in lecture that this is a (1 + log(n))-approximation algorithm. """ cover = set() subsets_copy = list(subsets) while True: S = max(subsets_co...
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def _validate_float(value): """ Convert an arbitrary Python object to a float, or raise TypeError. """ if type(value) is float: # fast path for common case return value try: nb_float = type(value).__float__ except AttributeError: raise TypeError( "Object of type ...
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def lr_lin_reduction(learning_rate_start = 1e-3, learning_rate_stop = 1e-5, epo = 10000, epomin= 1000): """ Make learning rate schedule function for linear reduction. Args: learning_rate_start (float, optional): Learning rate to start with. The default is 1e-3. learning_rate_stop (float, op...
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def split_conn_port(connection): """Return port number of a string such as 'port0' as an integer, or raise ValueError if format is invalid""" try: return int(connection.split('port', 1)[1]) except (ValueError, IndexError): msg = "port string %s does not match format 'port<N>' for integer...
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def tail(list, n): """ Return the last n elements of a list """ return list[:n]
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import torch def categorical_focal_loss(y_true, y_pred): """ Reference: https://github.com/umbertogriffo/focal-loss-keras Softmax version of focal loss. m FL = SUM -alpha * (1 - p_o,c)^gamma * y_o,c * log(p_o,c) c=1 where m = number of classes, c = class and o = observa...
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def compute_loss(logits, target, criterion): """ logits shape: [seq-len, batch-size, output_dim] target shape: [batch-size, seq-len] """ loss = criterion(logits, target) return loss
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def _add(a: int, b: int) -> int: """Add two numbers together. Args: a (int): First number. b (int): Second number. Returns: int: A sum of two numbers. """ return a + b
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def _parse_list_file(path): """ Parses files with lists of items into a list of strings. Files should contain one item per line. """ with open(path, 'r') as f: items = [i for i in f.read().split('\n') if i != ''] return items
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def first_elem(s): """ Extracts first element of pandas Series s, or returns s if not a series. """ try: return s.iloc[0] except AttributeError: return s
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import glob def get_images(path): """ Checks the folder for images :param path: The folder in which we will check for images :return: An array of all images found """ path = path images = glob.glob(path + "**/**/**/*.jpg", recursive=True) images.extend((glob.glob(path + "**/**/**/*.png...
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from itertools import chain, repeat from typing import Iterable from typing import Iterator def ncycles(it: Iterable, n: int) -> Iterator: """ Returns the sequence elements n times >>> [*ncycles(range(3), 3)] [0, 1, 2, 0, 1, 2, 0, 1, 2] """ return chain.from_iterable(repeat(it, n))
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import re def get_audio_paths(dataset_root_path, lst_name): """Extract audio paths.""" audio_paths = [] with open(dataset_root_path / "scoring" / lst_name) as f: for line in f: audio_path, lang = tuple(line.strip().split()) if lang != "nnenglish": continue ...
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def foreground_color(bg_color): """ Return the ideal foreground color (black or white) for a given background color in hexadecimal RGB format. """ bg_color = bg_color.strip('#') r, g, b = [int(bg_color[c:c + 2], 16) for c in (0, 2, 4)] if r * 0.299 + g * 0.587 + b * 0.114 > 186: return '...
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def count_trajectories(n: int) -> int: """ The Grasshopper is in position 1. The Grasshopper may jump to +1, +2 or +3. How many possible trajectories does the grasshopper have to get to position n? If n<=1, consider that the Grasshopper has 0 possible trajectory. >>> count_trajectories(0) 0...
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import requests def get_request(url, max_tries=10): """ Get JSON data from BiGG RESTful API. Args: url (str): url request max_tries (int): maximum number of communication attempts (default: 10) Returns: dict: json data """ resp, data = None, None for i in range(max_...
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def ubfx(value, lsb, width): """Unsigned Bitfield Extract""" return (value >> lsb) & ((1 << width) - 1)
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def interleaved2complex(data): """ Make a complex array from interleaved data. """ return data[..., ::2] + 1j * data[..., 1::2]
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import inspect import gc def gc_objects_by_type(tipe): """ Return a list of objects from the garbage collector by type. """ if isinstance(tipe, str): return [o for o in gc.get_objects() if type(o).__name__ == tipe] elif inspect.isclass(tipe): return [o for o in gc.get_objects() if ...
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from typing import Optional from typing import List def _nt_quote_args(args: Optional[List[str]]) -> List[str]: """Quote command-line arguments for DOS/Windows conventions. Just wraps every argument which contains blanks in double quotes, and returns a new argument list. """ # Cover None-type ...
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def sign_extend(value: int, orig_size: int, dest_size: int) -> int: """ Calculates the sign extension for a provided value and a specified destination size. :param value: value to be sign extended :param orig_size: byte width of value :param dest_size: byte width of value to extend to. :return:...
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def identity(*args): """ Return whatever is passed in Examples -------- >>> x = 1 >>> y = 2 >>> identity(x) 1 >>> identity(x, y) (1, 2) >>> identity(*(x, y)) (1, 2) """ return args if len(args) > 1 else args[0]
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def _convert_to_index_name(s): """Converts a string to an Elasticsearch index name.""" # For Elasticsearch index name restrictions, see # https://github.com/DataBiosphere/data-explorer-indexers/issues/5#issue-308168951 # Elasticsearch allows single quote in index names. However, they cause other # p...
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import re def coerceColType(colType): """ Given a colType, coerce to closest native SQLite type and return that, otherwise raise a ValueError. Parameters: colType (str): column type from DBML specification. Returns: str: valid SQLite column type. """ colType = colType.upper() n...
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from typing import Any import importlib import ast def load_cli(import_str: str) -> Any: """Load the cli object from a import name. Adapted from gunicorn. Examples: flask.cli:cli pipx.cli:create_parser() """ import_name, _, obj = import_str.partition(":") if not (import_name and ...
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def parse_regex_string(string): """ Parse header string according to wappalizer DB format strings follow the below format: <string>[\\;version:\\\d][\\;confidence:\d] "string" is a mandatory regex string followed by 0 or more parameters (key:value), can be empty parameters are divided by a \\;...
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from math import pi as π, radians def theoretical_peak_angle_velocity(stride_freq_Hz: float = 3., total_angle_deg: float = 180., disp: bool = True): """Cheetah leg moves from 0⁰ -> 90⁰ -> 0⁰ in about 1/3 of a second. Ie, follows the shape: ...
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def Courant(alpha, h, c): """ Computes the courant condition. Parameters ---------- alpha: Scaling parameter (generally 0.4) h: array of h's c: array of speeds of sound Returns ------- float: min. time step according to courant condition...
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def cal_iou(box1, box2): """ computing IoU :param box1: (y0, x0, y1, x1), which reflects (top, left, bottom, right) :param box2: (y0, x0, y1, x1) :return: scala value of IoU """ cx1, cy1, cx2, cy2 = box1 gx1, gy1, gx2, gy2 = box2 # 计算每个矩形的面积 S_rec1 = (cx2 - cx1) * (cy...
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import textwrap def _get_embl_wrapper(embl_key, indent=5, subsequent_indent=None, width=80): """Returns a textwrap.TextWrapper for embl records (eg, write <key> <string> by providing embl key and a string. Wrap text to 80 column""" # define the string to prepen (eg "OC ") prepend = '{key:<{in...
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def find_worst(list_of_values, quantity): """ auxiliary function to changeworst, finds the indexes of the worst performing members :param list_of_values: list of values relative to the members of the candidate used to determine which is the worst performing ones :param quantity: the quantity...
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def get_resource_file(entity, resource_info, base_url): """ Create a file object from which resource data can be read. resource_info is a value returned by `find_fixed_resource` or `find_entity_resource` base_url is a base URL that may be used to resolving relative references in the ...
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def field_eq(p, e): """ Checks the field values of a parsed message for equality against some ground truth value. Parameters ---------- p : object with dict-like attributed access Parsed field contents. e : object with dict-like attributed access Expected field contents. Returns ---------- ...
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def _format_list(elems): """Formats the given list to use as a BUILD rule attribute.""" elems = ["\"{}\"".format(elem) for elem in elems] if not elems: return "[]" if len(elems) == 1: return "[{}]".format(elems[0]) return "[\n {},\n ]".format(",\n ".join(elems))
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def footer() -> str: """ Return the footer of the LaTeX document. :return: LaTeX document footer. """ return "\\end{tikzcd}\n\\end{document}"
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def ReformatForLog( data ): """ Change all non printable characters into something human readable. Arguments: data -- The raw data that may contain unprintable characters Example: 0x0D will show up as <D> """ output = '' for char in data: o = ord( char ) if( o < 32 ): # Unprintable control character...
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def read_text_file(filename): """ Read .txt file Args: :param: filename(str): the name of .txt file Returns: :param: text(str): text in .txt file """ with open(filename, "r", encoding="utf-16") as file: text = file.readlines() return str(text)
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def _filterobsoleterevs(repo, revs): """returns a set of the obsolete revisions in revs""" return {r for r in revs if repo[r].obsolete()}
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def parse_mode(new_mode): """Function to parse a mode give in input to chmod function. Parameters ---------- new_mode --> str, the new resource permissions, in the form of [0-7][0-7][0-7] Returns ------- (own,grp,others) --> tuple(int,int,int), the permissions parsed """ #t...
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def iseven(n): """ Return True if n is an even number and False otherwise. """ return (n % 2 == 0)
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import inspect def get_object_classes(classes_or_instances, expected_base_class=None): """Given a list of instances or class objects, return the list of their classes. :param classes_or_instances: mixed list to parse :type classes_or_instances: list[type or object] :param expected_base_class: if give...
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def d(b, a, bnds): """ Calculate difference between two images Parameters: b (ee.Image): 'before' image a (ee.Image): 'after' image bnds (ee.List<str>): band names included in calculation Returns: ee.Image: difference image with original bands """ ...
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def find_nth_natural_number(i, limit): """Returns the ith natural number and the number containing it""" assert i >= 1 number_map = {} nums = [] prev_len = 0 for num in range(1, limit + 1): nums.append(num) new_len = len(str(num)) + prev_len number_map.update({j: (prev_le...
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import re def form_date_parameter(date: str, name: str) -> str: """Form the date parameter for the API query after checking whether given date is valid. Args: date (str): date in format YYYY-MM-DD name (str): either 'startDate' or 'endDate', used to differentiate API query parameters Rai...
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import torch def matvec(mat, vec, out=None): """Matrix-vector product (supports broadcasting) Parameters ---------- mat : (..., M, N) tensor Input matrix. vec : (..., N) tensor Input vector. out : (..., M) tensor, optional Placeholder for the output tensor. Return...
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def acquire_title(soup): """ Take a BeautifulSoup content of a book page. Return the title of the book. """ title = soup.h1.string return title
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def find_samples(data): """ Parse a list of raw packages into a list of raw samples :param data: List of raw packages (int) :return: samples, fail_count. samples: List of raw samples fail_count: number of samples that could not be decoded """ sample = None looking_...
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def load_room_descrips(data, room_names): """ Loading each rooms respective main description. Parameters: data(dict): Nested dictionaries containing all information of the game. room_names(list): List containg room names. Returns: room_descrips(list): Returns list o...
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def lines2paragraphs(lines): """ Return a list of paragraphs from a list of lines (normally holding the lines in a file). """ p = [] # list of paragraphs to be returned firstline = 0 # first line in a paragraph currentline = 0 # current line in the file lines.insert(l...
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def bytes_as_char_array(b): # type: (bytes) -> str """ Given a sequence of bytes, format as a char array """ return '{ ' + ', '.join('0x%02x' % x for x in b) + ' }'
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def get_cpubind(cpu_binding): """Convert aprun-style CPU binding to PALS-style""" # First check for keywords if not cpu_binding or cpu_binding == "cpu": return "thread" if cpu_binding == "depth": return "depth" if cpu_binding == "numa_node": return "numa" if cpu_binding =...
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def info_to_name(display): """extract root value from display name e.g. function(my_function) => my_function """ try: return display.split("(")[1].rstrip(")") except IndexError: return ""
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def get_x_minmax(start_times, end_times): """Determine the horizontal (x) min and max values. This function adds 1% to either side for padding. Args: start_times (np.array): First packet unix timestamps of all pcaps. end_times (np.array): Last packet unix timestamps of all pcaps. Retur...
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def get_busco_score(short_summary): """get busco Complete score from short_summary.txt""" with open(short_summary) as f: for line in f: line = line.strip() if line.startswith(("#", "*")) or line == "": continue elif line.startswith("C:"): ...
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def rgb_to_hex(rgb): """ Covert RGB tuple to Hex code """ return f'0x{rgb[0]:02X}{rgb[1]:02X}{rgb[2]:02X}'
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def is_managed_by_cloudformation(physical_resource_id: str, resource_array: list) -> bool: """ Given a physical resource id and array of rources - returns if the resource is managed by cloudformation Parameters: physical_resource_id (string): The identifier of the resource - eg igw-09a7b4932e331edb...
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def combine_QUBO_storage(QUBO_storage, solved_QUBOs, column_solutions): """ Merges previous QUBO storage with new solutions. Parameters ---------- QUBO_storage : list Input QUBO storage list. solved_QUBOs : dict The QUBOs that were solved in this latest iteration. column_sol...
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from datetime import datetime def get_week_format_from_timestamp(timestamp_millis: int) -> str: """Get week format from timestamp in milliseconds. The week number returned will follow ISO-8601 standard :param timestamp_millis: Timestamp in milliseconds. :type timestamp_millis: int :return: Return...
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def counting_sort(array, maxval): """ Sorts the list 'array' using counting sort >>> from pydsa import counting_sort >>> a = [5, 6, 1, 9, 3] >>> counting_sort(a, 9) [1, 3, 5, 6, 9] """ count = [0] * (maxval + 1) for a in array: count[a] += 1 i = 0 for a in range(max...
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