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def get_cropped_array(png_array): """Crop the array neatly to the center 100x100 points Notes: - this has only been tested on 1000x1000 size lattice images """ xlen, ylen, _ = png_array.shape cropped_png_array = png_array[0.4165*xlen:0.5143*xlen, 0.4627*ylen:0.5623*ylen, :] return croppe...
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def move_to_ctx(arr, ctx): """Move a nested structure of array to the given context Parameters ---------- arr The input array ctx The MXNet context Returns ------- new_arr The array that has been moved to context """ if isinstance(arr, tuple): re...
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import hashlib def calc_package_index_hash(deb_names): """ Calculates a hash of all the given deb file names. This is deterministic so we can use it for short-circuiting. """ md5 = hashlib.md5() md5.update("\n".join(sorted(deb_names)).encode('utf-8')) return md5.hexdigest()
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def _is_via_hub(node): """Check if a node is a Via Labs hub. The topology of this device is a 4-port hub, with another 4-port hub connected on port 4. """ if '2109:2812' not in node.desc and '2109:0812' not in node.desc: return False if not node.HasPort(4): return False return ('2109:2812' in node...
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def CheckAttr(f): """Automatically set mock_attr based on class default. This function decorator automatically sets the mock_attr keyword argument based on the class default. The mock_attr specifies which mocked attribute a given function is referring to. Raises an AssertionError if mock_attr is left unspec...
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import math def lsf_format_bytes_ceil(n, lsf_units="mb"): """ Format bytes as text Convert bytes to megabytes which LSF requires. Parameters ---------- n: int Bytes lsf_units: str Units for the memory in 2 character shorthand, kb through eb Examples -------- >>> ...
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def rmin(a, b): """ Min function for real numbers Parameters ---------- a: scalar b: scalar Returns ------- scalar """ # seems to be much faster than the built-in return a if a < b else b
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def get_user_printable_name(user, errstring="???"): """ Gets name of user in printable form. :param user: user object :param errstring: string to return if name could not be resolved :return: user.nick if exists, user.name otherwise (if exists), errstring if nick and name are missing """ i...
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def define_interval(weight, eps, method): """ :param weight: element weight :param eps: measurement error :param method: method for interval construction (0 - error is absolute, 1 - error is relative) :return: interval value """ if method == 0: return weight - eps, weight + eps e...
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def _infer_n_folds(cv_results): """ Gets the number of CV folds from a cv_results object Parameters ---------- cv_results: dict The cv results. Output ------ cv: int The number of cv folds """ split_keys = [k for k in cv_results.keys() if k.spl...
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import random import hashlib def md5(*args): """Generates MD5 based on the provided string or a random int""" value = "" if len(args) > 0: value = args[0] if value == "": value = str(random.getrandbits(128)) return hashlib.md5(value.encode('utf-8')).hexdigest()
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def cigarops2string(cigarOps): """ Takes in a list of cigar tuples (c.op in the set MID, c.size is an int) and returns a cigar string (all concatenated together) """ # common case if len(cigarOps)== 1: return str(cigarOps[0].size) + cigarOps[0].op # general return "".join( [str(c.size) + c.op for c ...
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def checkFilter(filters, record): """Check record against filters.""" for i in filters: if i.http: if not record.http: return False value = record.http else: value = record.header string = value.get(i.k, None) if not string or ...
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def contains_3_consecutive(list_of_nums): """Return True if the list contains 3 consecutive numbers each increasing by 1.""" for i in range(len(list_of_nums) - 2): if (list_of_nums[i+1] == list_of_nums[i] + 1 and list_of_nums[i+2] == list_of_nums[i] + 2): return True return ...
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def i_to_the_power(k): """ Return the sign (-1 or 1) and minimal integer power (0 or 1) of i to an integer power. """ sign = {0: 1, 1: 1, 2: -1, 3: -1}[k % 4] imaginary = k % 2 return sign, imaginary
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from typing import List from bs4 import BeautifulSoup def extract_flags(ci_attrs: str) -> List[str]: """ Get the course flags from the ci_attrs field. Parameters ---------- ci_attrs: the field from the Yale API response. Returns ------- flag_texts: Flags (keywords) fo...
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def version_number_str(major, minor=0, patch=0, prerelease=None, build=None): """ Takes the parts of a semantic version number, and returns a nicely formatted string. """ version = str(major) + "." + str(minor) + "." + str(patch) if prerelease: if prerelease.startswith("-"): ...
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def health() -> bool: """Shows that the worker is still receiving messages. """ return True
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from typing import List import functools import operator def flatten(lst: list) -> List: """flatten the list of lists. :param lst: list of lists :return: flattened list """ return functools.reduce(operator.iconcat, lst, [])
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def surrounding_tiles(tile_x, tile_y, remove_outside_tiles=False): """Return the 8 tiles surrounding the given tile. Parameters: tile_x: X coord of tile tile_y: Y coord of tile Returns: List of two tuples (x, y) of surrounding tiles. The list will exclude the given tile it...
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def add_xml_data(**property_paths_types): """Add properties to a class that access data using :meth:`get_data`. This provides an alternative usage to directly calling :meth:`ActivityElement._add_data_properties` below a class definition. Args: **property_paths_types: kwargs mapping property_name : tuple(...
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from pathlib import Path from warnings import warn def git_rev(repo): """ Get the git revision for the repo in the path *repo*. Returns the commit id of the current head. Note: this function parses the files in the git repository directory without using the git application. It may break if the ...
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def selection_sort(arrayParam): """ Sort a list using selection sort algorithm. Run time: O(n**2) """ position = 0 array = arrayParam[:] for k in array: smallest = None subPosition = position smallestIndex = None # Getting smallest value and index for i in...
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import re def parse_range_header(range): """ Parse a range header as used by the dojo Json Rest store. :param str range: The content of the range header to be parsed. eg. `items=0-9` :returns: A dict with keys start, finish and number or `False` if the range is invalid. """ m...
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def has_children(element): """ Find out whether a xml element contains any children. The lxml native approach with len is a bit confusing literaly. Args: element: lxml.etree.Element Returns: boolean """ return bool(len(element))
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def sir_dydt(t, y, beta, gamma, N): """ Defines the differential equations for the SIR model system. Arguments: t : time y : vector of state variables: y = [S, I, R] beta, gamma, N : model parameters """ S, I, R = y # Output array of form f = (S',...
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def find_by_attribute(element, name, value): """Find children of 'element' where attribute 'name' is equal to 'value'. """ return [child for child in element if child.get(name) == value]
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def domains(client): """ Get list of domains owned by current reseller. """ return client.domain.all()
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import math def percentile(arr, P, is_sorted=False): """ NOTE: Returns the first element that is GREATER than the percentile Inputs: ------- arr: Array to be sorted P: Percentile desired [0,1] Options: ------- is_sorted: [False] Whether or not the list is already sorte...
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def cpu_name(proc): """Return CPU name""" items_count = len(proc) if items_count == 1: return proc[0] if items_count >= 3: return proc[2] return "Unknown"
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from datetime import datetime import pytz def get_local_time_from_utc(user_datetime: datetime, user_tz='UTC'): """ Converts a datetime from UTC into the user's timezone :param user_datetime: the datetime in the user's TZ :type user_datetime: datetime :param user_tz: the user's Timezone :type u...
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def generate_absolute_path(home_directory: str, bucket_name: str) -> str: """ Generate absolute S3 path in the format that SFTP Transfer accepts. :param bucket_name: bucket; :param home_directory: directory in the bucket. :return: path. """ return f'/{bucket_name}/{home_directory}'
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def check_options(cart_option, baseprice_option): """ Checks if the options of a product in the cart matches with the options of the given product in the base-price file. :param cart_option: The dict containing options provided with the product in the cart :type cart_option: dict :param basepric...
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def create_scheduler_resources(scheduler, base, goal): """Return a dictionary with scheduler resources. This function will take a dictionary 'base', which contains scheduler resource settings that can be set for the 'resources' key in the 'options' input of a CalcJob, and update it with target scheduler re...
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def set_mail_from(message): """ Returns a string to be used to fill the 'from' field of and email If no from address is provided in the html form, return 'from_default' """ # If a from address is included in html form, return it if 'mail_from' in message and message['mail_from']: return ...
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def _get_name(type_, value): """Return the name for the given value of the given type_. The value `None` returns empty string. """ return type_._VALUES_TO_NAMES[value] if value is not None else "None"
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def calc_euclidean_gcd(left: int, right: int) -> int: """Find greatest common divisor using Euclidean Algorithm.""" if right == 0: return left return calc_euclidean_gcd(left=right, right=left % right)
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import torch def batch_square_vector(vector, M): """ Compute x^T M x """ vector = vector.unsqueeze(2) return torch.bmm(torch.bmm(vector.transpose(2, 1), M), vector).squeeze(2)
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def to_camel_case(snake_case): """ Convert snake_case string to camelCase :param snake_case: snake_case string to convert :type snake_case: str :return: camelCase string :rtype: str """ words = snake_case.split('_') return words[0] + ''.join(x.capitalize() for x in words[1:])
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def is_han(c): """Return true if the input is a han character, false otherwise""" return 0x4E00 <= ord(c) <= 0x9FFF
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def Unzip(iterable): """Unzips specified iterable of pairs to pair of two iterables. This function is an inversion of the standard `zip` function and the following hold: * ∀ l, r. l, r == unzip(zip(l, r)) * ∀ p. p == zip(unzip(p)) Examples: >>> Unzip([("foo", 1), ("bar", 2), ("baz", 3)]) (["f...
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def dot(origin, p1_end, p2_end): """Return dot product of (origin, p1_end) and (origin, p2_end).""" ux, uy = (p1_end[0] - origin[0], p1_end[1] - origin[1]) vx, vy = (p2_end[0] - origin[0], p2_end[1] - origin[1]) return ux * vx + uy * vy
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def tfidf2freqdoc(words_tfidf, doc_length=1000): """ 語のtfidfに応じて頻度が大きくなるような文書を返す.文書は,日本語の語をスペース区切りにしたもの. Args: words_tfidf (dict):key:語, value:語のtfidf となる辞書 {word(str):tfidf(float)} doc_length (int, optional): 文書の長さ. Defaults to 1000. """ # tfidfの和が1になるように正規化し,語数に換算する. tfidf_sum...
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def fill_with_label(sessions, label, start=None, stop=None, min_gap=.1): """fill gaps with a certain label, e.g., absence. Args: sessions: list of tuples label: label str to be added in the gaps start: starting time stop: stopping time min_gap: minimum gap length that ha...
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def multiple_letter_count(phrase): """Return dict of {ltr: frequency} from phrase. >>> multiple_letter_count('yay') {'y': 2, 'a': 1} >>> multiple_letter_count('Yay') {'Y': 1, 'a': 1, 'y': 1} """ return_dict = {} for letter in phrase: if return_dict.get(letter): ...
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import json def render_json(tree, indent): """Converts the tree into a flat json representation. The json repr will be a list of hashes, each hash having 2 fields: - package - dependencies: list of dependencies :param dict tree: dependency tree :param int indent: no. of spaces to indent ...
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def PickHistoryName(args): """Returns the results history name to use to look up a history ID. The history ID corresponds to a history name. If the user provides their own history name, we use that to look up the history ID; If not, but the user provides an app-package name, we use the app-package name with ' ...
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def escape_html(str): """Return an HTML-escaped version of STR.""" return str.replace('&', '&amp;').replace('<', '&lt;').replace('>', '&gt;')
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def _create_rects(rect_list): """ Create a vertex buffer for a set of rectangles. """ v2f = [] for shape in rect_list: v2f.extend([-shape.width / 2, -shape.height / 2, shape.width / 2, -shape.height / 2, shape.width / 2, shape.height / 2, ...
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def _get_subclasses(classname): """Recursively obtains all subclasses of the given class.""" subclasses = [] for p in classname.__subclasses__(): subclasses.append(p) subclasses.extend(_get_subclasses(p)) return subclasses
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import yaml def generate_item_with_upstream_options(yaml_manifest, options) -> dict: """ Generate a VS/VSR item with an upstream option. Update all the upstreams in VS/VSR :param yaml_manifest: an absolute path to a file :param options: dict :return: dict """ with open(yaml_manifest) ...
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def twice(z): """ task 0.5.27 implement one line procedures def twice(z): return 2*z """ return 2*z
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def remove_des(name): """ remove 'Class A Common Stock' and 'Common Stock' from listing names """ if name.endswith("Class A Common Stock"): name = name[:-21] if name.endswith("Common Stock"): name = name[:-13] return name
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def _is_displayed(row, current_quarter, current_offset): """ Return true if message is for current quarter and current date falls within the display range for a given message. Message will display for 7 days. """ display_quarter = row[2] display_offset = int(row[3]) return current_quart...
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def snakemake_job_script(tmp_path_factory, tumor_normal_config): """ Creates a dummy snakemake jobscript """ script_dir = tmp_path_factory.mktemp("snakemake_script") snakemake_script_file = script_dir / "example_script.sh" snakemake_script = """#!/bin/sh # properties = {"type": "single", "rule"...
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from pathlib import Path def getProcFNFromOrigFN(fp): """Returns the processed filename (as Path object, which can be treated as string) from origina filename (as string or Path object)""" return Path(Path(fp).stem + '_processed.h5')
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def fmtcdb(key, val): """Formats a key and value into cdb format.""" key = str(key) val = str(val) s = '+%d,%d:%s->%s' % (len(key), len(val), key, val) return s
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import pathlib import io def read_file(path: pathlib.Path) -> bytes: """ Function to read in an image file and return the bytes :param path: File path """ with io.open(path, "rb") as file: content = file.read() return content
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def remove_protected_attrs(item: dict) -> dict: """ Remove protected (AWS-only) attributes from a DynamoDB item. """ attrs = [attr for attr in item.keys() if attr.startswith('aws:')] for attr in attrs: del item[attr] return item
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def _get_bib_element(bibitem, element): """Return element from bibitem or None.""" lst = [i.strip() for i in bibitem.split("\n")] for i in lst: if i.startswith(element): value = i.split("=", 1)[-1] value = value.strip() while value.endswith(','): v...
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import zipfile def unzip_with_python(zip_file, output): """Unzips an archive using 'zipfile' python module. Works everywhere where python works (Windows and Posix). Args: zip_file: absolute path to an archive to unzip. output: existing directory to unzip to. Returns: Exit code (0 on success). ...
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def find_containers(bag, bag_rules): """Find the bags that can contain a specified bag.""" allowed = [] for n, item in bag_rules.items(): if bag in item.keys(): allowed.append(n) return allowed
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def popravi_st_glasov(seznam_slovarjev): """ Popravi vnos ST_GLASOV, da vrne število brez decimalne vejice. """ for pivo in seznam_slovarjev: glasovi = pivo['ST_GLASOV'] glasovi = int(glasovi.replace(',', '')) pivo['ST_GLASOV'] = glasovi return seznam_slovarjev
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def value_to_float(x: str): """ Converts strings with abbreviated numbers to floats >>> value_to_float('1.2k') 1200.0 """ if type(x) == float or type(x) == int: return x x = x.upper() x = x.replace(',', '') if 'K' in x: if len(x) > 1: return float(x.repla...
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def decorate_c_array_data (hexdata: str, var_name: str, var_type: str, newline_value: str): """ Place @hexdata into a valid C array named @var_name of C type @var_type. """ ret = var_type + " " + var_name + "[] = {" + newli...
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from typing import Callable from typing import List def get_shingles( doc: str, normalization_func: Callable, split_method: str, ngram_size: int, ngram_stride: int, ) -> List[str]: """Extracts the shingles from a document. Args: doc (str): The document to extract the s...
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from typing import List def max_array_sum(arr: List[int]) -> int: """ Return the maximum sum of an array subset of non-adjacent items. :time: O(n) :space: O(n) """ max_sum = [0] * (len(arr) + 2) for i, num in enumerate(arr, start=2): max_sum[i] = max(max_sum[i - 2] + num, max_sum[...
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import math def wind_speed_2m(ws, z): """ Convert wind speed measured at different heights above the soil surface to wind speed at 2 m above the surface, assuming a short grass surface. Based on FAO equation 47 in Allen et al (1998). :param ws: Measured wind speed [m s-1] :param z: Heigh...
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def transform_boolean(value): """Transfroms boolean to `1` or `0`. :param value: Boolean value. :type value: boolean :return: number representation of boolean `1` or `0`. :rtype: str """ if value: return '1' else: return '0'
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import math def sigmoid(x: float) -> float: """ Numerically stable scaled logistic function. Maps all values ``x`` to [0, 1]. Values between -1000 and 1000 are mapped reasonably far from 0 and 1, after which the function converges to bounds. Parameters ---------- x: Input. ...
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import six def get_string_mapping(kvp): """Returns a dictionary mapping strings to strings. This can take either a string of the form "name=value:name2=value2" or a dictionary containing all string keys and values. :param kvp: dictionary or string :returns: dictionary """ if kvp is None...
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from functools import reduce import operator def get_by_path(root: dict, items: list[str | int]) -> dict: """Access a nested object in root by item sequence.""" return reduce(operator.getitem, items, root)
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def is_number(text): """ Checking if the text is a number :param text: text we want to examine :type text: str :return: whether this is a number or not :rtype: bool """ try: float(text.strip()) except ValueError: return False return True
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import torch def _get_device(device_string): """Returns a `torch.device` Args: device_string: 'cpu' or 'cuda' Returns: `torch.device` """ if device_string.lower() == 'cpu': return torch.device('cpu') if device_string.lower() == 'cuda': if torch.cuda.device_count() == ...
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import math def euclidean_distance(a, b=None): """ Euclidean distance between two n-dimensional points. """ if b is None: return euclidean_distance(a, (0,) * len(a)) return math.sqrt(sum((a - b) ** 2 for a, b in zip(a, b))) #np.linalg.norm(a - b) #np.sqrt(np.sum((a-b)**2)))
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import random def random_condition(*conditions) -> str: """ Returns a random condition based on the supplied arguments with equal probability of all conditions. Args: *conditions: A variable number of condition identifiers Returns: str: One of the input arguments, chosen at rando...
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import math def norm(vec): """Return the norm of a 2-dimensional vector.""" return math.sqrt(vec[0] ** 2 + vec[1] ** 2)
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def between(full, start, end): """Returns the substring of the given string that occurs between the start and end strings.""" try: if not start: parse = full else: parse = full.split(start, 1)[1] if end: result = parse.split(end, 1)[0] else...
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def get_mask_paths(metadata): """ localization.txt (for masks) has the structure <path>,<link_to_mask_file>,<link_to_ignore_mask_file> path/to/image1.jpg,path/to/mask1a.png,path/to/ignore1.png path/to/image1.jpg,path/to/mask1b.png, path/to/image2.jpg,path/to/mask2a.png,path/to/ignore2.png p...
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import pkg_resources def get_schema_path(version='1.0.1'): """ Location of CPHD schema file. Returns ------- str The path to the CPHD schema. """ if version == '1.0.1': return pkg_resources.resource_filename('sarpy.io.phase_history.cphd_schema', 'CPHD_schema_V1.0.1_2018_0...
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def _parse_dummy(logfile): """Dummy parser for testing""" return {}
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import torch from typing import List from typing import Dict from typing import Any def add_weight_decay( model: torch.nn.Module, weight_decay: float ) -> List[Dict[str, Any]]: """Add weight decay to only the convolutional kernels. Do not add weight decay to biases and BN. TensorFlow does this automatical...
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def get_offer_photos_links(html_parser): """ This method returns a list of links to photos of the apartment. :param html_parser: a BeautifulSoup object :rtype: list(string) :return: A list of links to photos of the apartment """ gallery = html_parser.findAll(class_="gallery-box-thumb-item")...
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def unescape_double_quote(content: str) -> str: """ Replace escaped double quote in content by removing the backslash. >>> unescape_double_quote(r'UTF\"-8') 'UTF"-8' >>> unescape_double_quote(r'UTF"-8') 'UTF"-8' """ return content.replace(r"\"", '"')
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def check_url(url): """ Check if exist a well-formed url""" if url[:8] == "https://" or url[:7] == "http://": return True else: return False
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def help(title, url=None) -> str: """Creat help badge Args: title: help text url: url to open in new tab (optional) Returns: HTML formatted help badge """ if url is not None: return f'<a title="{title}" href="{url}" target="_blank"><span class="badge pull-right" sty...
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def average(values): """(list of number) -> number Return the average of the numbers in values. Some items in values are None, and they are not counted toward the average. >>> average([20, 30]) 25.0 >>> average([None, 20, 30]) 25.0 """ count = 0 # The number of values seen so far...
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def get_mask_names_dict(mask_names, tracer_names): """ Return a dictionary with the mask names assotiated to the fields to be correlated Parameters: ----------- mask_names (dict): Dictionary of the masks names assotiated to the fields to be correlated. It has to be given as {1: nam...
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def clean_text(text): """Removing spaces and converting the text into lowercase""" return text.strip().lower()
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def filter_gtf_file(gtf_file, source=None, feature=None, copy=True): """ filter gtf file based on tthe source of the annotations (HAVANA or ENSEMBL), and/or the type of feature (transcript, exon, gene) if source/feature is not None. It returns a new filtered pandas.DataFrame. Parameter...
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def compile_str_from_parsed(parsed): """The (quasi-)inverse of string.Formatter.parse. Args: parsed: iterator of (literal_text, field_name, format_spec, conversion) tuples, as yield by string.Formatter.parse Returns: A format string that would produce such a parsed input. >>> ...
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def getYearsAsList(macroDemand, startYear, endYear): """ Return a sorted list containing only the years (or "time steps"). """ years = macroDemand.keys() years.sort() for i in range(len(years)): years[i] = int(years[i]) startIndex = years.index(startYear) endIndex = years.index(endYear)...
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def open_json(spark, json_path): """Opens a json file as a pandas DataFrame. Parameters ---------- spark Spark session. json_path a HDFS file path and file name ending in .json Returns ------- Pandas DataFrame """ sdf = spark.read.json( json_path, en...
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def roll_uint8(value): """Roll given one-byte value, i.e. increment it such that the range is preserved. >>> roll_uint8(-10) ValueError: Acceptable range: 0 - 255 >>> roll_uint8(-1) ValueError: Acceptable range: 0 - 255 >>> roll_uint8(0) 1 >>> roll_uint8(10) 11 >>> roll_uint8...
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def remove_end_from_pathname(filen, end='.image'): """ Retrieve the file name excluding an ending extension or terminating string. Parameters ---------- filen : str end : str End to file name to remove. If an extension, include the period, e.g. ".image". """ if not filen...
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def filter_pdna(lognorm_df, pdna_cols, z_low=-3, z_high=None): """ Filter the lognorm dataframe based on the z_scored lognorms of pDNA lognorm_df: dataframe | pdna_cols: list | z_low: int or None, lower range of z-scores to filter | z_high: int or None, upper range of z-scores to filter | r...
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def safestr(text): """ Safely convert unicode to a string """ if text is None: return try: return str(text) except UnicodeEncodeError: return str(text.encode('utf-8'))
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def cmdstr(cmd): """Return a string for the |cmd| list w/reasonable quoting.""" quoted = [] for arg in cmd: if ' ' in arg: arg = '"%s"' % (arg,) quoted.append(arg) return ' '.join(quoted)
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def _unified_indent(kwargs): """ Private helper. If kwargs has an `indent` parameter, that is made into the the value of both the `initial_indent` and the `subsequent_indent` parameters in the returned dictionary. """ indent = kwargs.get('indent') if indent is None: return kwargs ...
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def dataframe_has_columns_of_these_types(df, types_list): """Returns true if the dataset has the given types. Args: df: The dataframe to inspect. types_list: list of types to check for. Returns: True if the types are present in the data frame. """ return not df.select_dtype...
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