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def getRailCoordinates(message, key): """Return a list of x, y coordinates of the rail in its zig zag order.""" railCoordinates = [] y = 0 direction = 'DOWN' for x in range(len(message)): railCoordinates.append((x, y)) if direction == 'DOWN': y += 1 if y == ke...
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import subprocess def resource_get(name): """used to fetch the resource path of the given name. <name> must match a name of defined resource in metadata.yaml returns either a path or False if resource not available """ if not name: return False cmd = ['resource-get', name] try: ...
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import subprocess def call(*popenargs, **kwargs): """overwrite subprocess.call method to still record outputs (former implementation do not call 'communicate()') """ _p = subprocess.Popen(stdout=subprocess.PIPE, stderr=subprocess.PIPE, *popenargs, **kwargs) # this insure that we record everythhing...
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def simplify_arg_role_name(role_name: str): """Converts the name of the argument role to the simple form (e.g. "Time-Within" to "Time"). """ cols = role_name.split("-") if len(cols) > 1 and cols[0] != "Time": print(cols) return cols[0]
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import textwrap def wrap(to_wrap, width=70): """Preserve new line char in textwrap""" out = [] for line in to_wrap.split('\n'): if not line: out.append('') wrapped = textwrap.wrap(line, width=width) for wrapped_line in wrapped: out.append(wrapped_line) r...
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def get_activity_charts_data(activity_actions, sync_user): """Get data for Translation activity and Review activity charts.""" human_translations = set() machinery_translations = set() new_suggestions = set() peer_approved = set() self_approved = set() rejected = set() for action in act...
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def find_nth_loc(string=None, search_query=None, n=0): """ Searches the string via the search_query and returns the nth index in which the query occurs. If there are less than 'n' the last loc is returned :param string: Input string, to be searched :type string: str :param search_query:...
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from typing import Sequence def count_number_of_depth_increases(depths: Sequence[int], window_size: int = 1) -> int: """Counts the number of times depth increases in a sequence of sonar measurements.""" depth_changes = ( sum(depths[i : i + window_size]) - sum(depths[i - 1 : i - 1 + window_size]) ...
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def main(*, equation: str) -> dict: """ Gets the result of a calculation :param formula: Stuff on which calculation will be carried on Example: 5+7*9 :return: Dictionary """ try: new_equation = equation.replace("^", "**") new_equation = equation.replace("\\", "/") return ...
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import traceback import sys def create_schema(connection, schema_name): """This function add the schemas into databases""" try: old_isolation_level = connection.isolation_level connection.set_isolation_level(0) pg_cursor = connection.cursor() pg_cursor.execute("CREATE SCHEMA %s...
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def get_data_label_id(label_datas): """ 获取数据对应的标签id映射字典 """ label2id = {} data_label_id = {} for line in label_datas: line = line.replace('\n', '') data_id = line.split('\t')[0] label_ids = line.split('\t')[1].split(',') for label_id in label_ids: label2id[la...
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def validate_tag(tag): """ Chceks if tag is valid. Tag should not be empty and should start with '#' character """ tag = tag.strip().lower() return len(tag) > 1 and tag.startswith("#")
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import os def check_database(third_party_info, third_party_evidence): """ Given dictionary of third party SDKs returns type of SDK :param third_party_info: dictionary of SDK Classifications :param third_party_evidence: evidence list of sdks :return third_party_evidence: updated evidence list of S...
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import logging def make_url(url_no_file="https://files.rcsb.org/download/", organism_entry="2ki5"): """ Takes the download URL without the file of the PDB database and the organism entry and converts it in to a download link for the PDB file. Returns the full URL for download. """ logging.inf...
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def make_linear_part(max_score, min_score): """ :param bottom: the proportion of the graph used for the bottom "sigmoid" :param middle: the proportion of the graph used for the middle linear part :param top: the proportion of the graph used for the top "sigmoid" :param max_score: the maximum score s...
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def expose_header(header, response): """ Add a header name to Access-Control-Expose-Headers to allow client code to access that header's value """ exposedHeaders = response.get('Access-Control-Expose-Headers', '') exposedHeaders += f', {header}' if exposedHeaders else header response['Access-Con...
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def unique(lst): """ Returns a copy of 'lst' with only unique entries. The list is stable (the first occurance is kept). """ found = set() lst2 = [] for i in lst: if i not in found: lst2.append(i) found.add(i) return lst2
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import math def pickLabelFormat(increment): """Pick an appropriate label format for the given increment. Examples: >>> print pickLabelFormat(1) %.0f >>> print pickLabelFormat(20) %.0f >>> print pickLabelFormat(.2) %.1f >>> print pickLabelFormat(.01) %.2f """ i_log...
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def func(x, y): """Documentación de la función. Hace x * y - 5""" return x * y - 5
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def ensure_valid_model_type(specified_type, model_type_list): """ Checks to make sure that `specified_type` is in `model_type_list` and raises a helpful error if this is not the case. Parameters ---------- specified_type : str. Denotes the user-specified model type that is to be checked...
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import heapq def top10(m): """Return the top 10 keys from a dict ordered by their values.""" return heapq.nlargest(10, m.keys(), key=m.get)
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from typing import Union def find_error_character(chunk: str) -> Union[str, None]: """Find the first illegal character for a given chunk.""" stack = [] bracket_mapping = {")": "(", "]": "[", "}": "{", ">": "<"} open_brackets = ["(", "[", "{", "<"] for char in chunk: if char in open_br...
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import platform def generate_user_agent(package_name: str, package_version: str) -> str: """Generate a user-agent string in the form <package info> <python info> <os info>. Parameters ---------- package_name : str Name of the package to include in the user-agent string. package_version : ...
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def clean_headers(headers): """Takes headers dict and removes irrelivant headers.""" response = dict() for k, v in headers.items(): if k.upper().startswith('X'): response[k] = v return response
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def summary(txt): """ Returns the first line of a string. """ lines = txt.split('\n') return lines[0]
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def dict_no_none(*args, **kwargs) -> dict: """ Helper to build a dict containing given key-value pairs where the value is not None. """ return { k: v for k, v in dict(*args, **kwargs).items() if v is not None }
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from typing import Any def shortname(obj: Any) -> str: """Get object name (non-qualified).""" if not hasattr(obj, '__name__') and hasattr(obj, '__class__'): obj = obj.__class__ return '.'.join((obj.__module__, obj.__name__))
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import numpy def kurtosisTest(kurt, n): """ @brief Transforms the kurtosis to a normal distribution """ n = float(n) e = 3.*(n-1.)/(n+1.) v = 24.*n*(n-2.)*(n-3.)/(n+1.)**2/(n+3.)/(n+5.) mask = kurt != 0 x = (kurt[mask] - e)/numpy.sqrt(v) b = 6.*(n**2-5.*n+2.)/(n+7.)/(n+9.)*numpy.sq...
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def unique(sequence): """ Returns a unique list preserve the order of original list """ seen = set() return [x for x in sequence if not (x in seen or seen.add(x))]
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def flatten(items): """Removes one level of nesting from items Parameters ---------- items : iterable list of items to flatten one level Returns ------- flattened_items : list list of flattened items, items can be any sequence, but flatten always returns a list. ...
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def get_help_text(instance, field_name): """ Returns help_text for a field. inspired by https://stackoverflow.com/questions/14496978/fields-verbose-name-in-templates call in template like e.g. get_help_text <classname> "<fieldname>" """ try: label = instance._meta.get_field(field_name)....
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def first_column_empty_5(): """First column is empty ... test will demonstrate this edge case can be handled""" return [ [], [ {"id": 5, "name": "Asparagus", "colour": "green", "count": 9, "herb": False}, {"id": 2, "name": "Basil", "colour": "green", "count": 5, "herb": T...
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import inspect import os def rel_path(relative_filename): """Returns the full path of the file relative to the caller module. :param relative_filename: target filename relative to the caller's containing folder. :return: the full path of the target relative file. """ # Extract the filename...
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def _format_collider_string(colliders): """ Write the string for the bath gas collider and their efficiencies for the Lindemann and Troe functional expressions: :param colliders: the {collider: efficiency} dct :type colliders: dct {str: float} :return: collider_str: Chemkin string w...
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def get_bbox_limits(bbox): """ This module gets a bbox and transform it in this format [x_start, y_start, width, height] and transform it into this format [x_start, y_start, x_end, y_end] """ bbox[:,2] += bbox[:,0] bbox[:,3] += bbox[:,1] return bbox
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import time import logging def l__(msg, out=True): """ ... starting logging msg giving a time stamp ... """ logging.info(' ' + msg + ' -->') if out: return time.time()
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def is_users_personal_account(context, account): """ Return `true` if the current path is for the user's personal account. Used to determine which items to show in the settings submenu. """ request = context["request"] return account.is_personal and ( request.path.startswith("/me/") ...
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from pathlib import Path import toml def set_fields_from_pyproject( fields: dict, pyproject_path: Path = Path(__file__).parents[2].joinpath("pyproject.toml"), name: str = "inboard", version: str = "0.1.0", ) -> dict: """Create a dictionary of keys and values corresponding to pydantic model fields....
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def split_data(data): """ :param data: 36 * H * W :return: """ x1, y1 = data[0:32 + 1:4], data[1:32 + 2:4] x2, y2 = data[2:32 + 3:4], data[3:32 + 4:4] return x1, y1, x2, y2
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import random import string def _rand_id(ncar: int = 8) -> str: """Random hash""" return ''.join([random.choice( string.ascii_letters + string.digits) for n in range(ncar)])
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def byte_unit(file_size): """ バイトの単位を変換 Parameters ---------- file_size : int ファイルのバイト数 Returns ---------- (return) : str 適切な単位に変換後の文字列 """ if file_size < 1024: return str(file_size) + ' B' elif file_size < 1024**2: return str(round(file_size...
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def kl_div(mean, log_var): """Kl divergence Args: mean: mean vector log_var: log variance vector Returns: kl divergence """ loss = 0.5 * (mean.pow(2) + log_var.exp() - log_var - 1).mean(dim=0) return loss.sum()
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def layer_size(X, Y): """ Get number of input and output size, and set hidden layer size :param X: input dataset's shape(m, 784) :param Y: input labels's shape(m,1) :return: n_x -- the size of the input layer n_h -- the size of the hidden layer n_y -- the size of the output layer """...
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from typing import Set def done(job: str, completed: Set[str]) -> str: """Convert set membership into `Yes` for `No`. :param job: The job to check if it was acted on :param completed: The jobs acted on, :returns: Yes or No """ return 'Yes' if job in completed else 'No'
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from typing import get_origin from typing import get_args def has_origin(typ, origin, num_args=None): """ Determines if a concrete class (a generic class with arguments) matches an origin and has a specified number of arguments. This does a direct match rather than a subclass check. The typing c...
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def sol(request): """Establish a small range of sols over which to test.""" return request.param
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def extend(cls, static=False): """Extends the cls class. Parameters ---------- cls : class Class to extend. static : boolean, default = False Wheter extend as a static method. Returns ------- decorator Decorator for extending classes. """ if static: ...
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def create_collector(collector_class, result_dir, test_name): """Return a new Collector of the given class :param collector_class: The collector class to be used. :param result_dir: Directory with test results :param test_name: Test to be run :return: A new CollectorController. """ return c...
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def class_values(names_file): """Get integer value of classes from .names file Args: names_file (type): File containing a list of classes. Each line of the file should contain a separate class name Returns: class_dict (dict): Dict that ...
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from typing import Dict def multimodel_num_layers() -> Dict[str, int]: """Number of layers in each of sub-models in `multimodel` fixture.""" return { 'encoder': 2, 'forecaster': 6, 'combined': 10, }
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def sublist(list1: list, list2: list) -> bool: """ Check if all the element of list1 are inside list2, preserving the order and subsequence of the elements :param list1: list1 of element to find :param list2: list2 target list :return: a boolean which represent True if the statement is respe...
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def getstring(data): """convert data from file into a text string """ result = '' for bytechar in data: if bytechar == b'\x00': continue result += str(bytechar) return result
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def read_answers(filename, sep): """ Read word-sense-annotated file and create data structure that translates each word sense to an id """ with open(filename, 'r') as f: words = [] senses = [] senses_id = {} sense_count = 0 for line in f.readlines(): ...
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from typing import Dict from typing import List def get_available_languages(localisation: Dict) -> List[str]: """Get list of languages that are available for outputting human readable procedure descriptions. Args: Dict: Localisation collection, e.g. ``PlatformClass().localisation`` Returns: ...
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def sql_number_list(target): """ Returns a list of numbers suitable for placement after the SQL IN operator in a query statement, as in "(1, 2, 3)". """ if not target: raise ValueError elif not isinstance(target, list): target = [target] return "(%s)" % (", ".join(["%d" % (i...
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import torch def fold(input: torch.Tensor, window_size: int, height: int, width: int) -> torch.Tensor: """ Fold a tensor of windows again to a 4D feature map :param input: (torch.Tensor) Input tensor of windows [batch size * windows, channels, window size, window size] :para...
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from typing import Optional from pathlib import Path def to_uri( path: str, local_basedir: Optional[Path] = None, relative_prefix: str = "" ) -> str: """ Given a path or URI, normalize it to an absolute path. If the path is relative and without protocol, it is prefixed with `relative_prefix` befo...
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from docutils.core import publish_string def html(text, **kwargs): """Returns the text as html.""" # assuming run from the correct directory return publish_string(source=text, writer_name='html', **kwargs)
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def need_depend(glyph): """ Finds RGlyph object that needs depend attribute. """ return not glyph.name.endswith('V') and glyph.hasOverlap()
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def unscale_bb(bounding_box, shape): """ compute absolute bounding box :param bounding_box: [x, y, w, h] relative bounding box :param shape: shape of [x, y, w, h] :return: """ abs_x = bounding_box[:, 0] * shape[:, 0] abs_y = bounding_box[:, 1] * shape[:, 1] abs_width = bounding_box[:, 2] * shape[:, 0] abs_hei...
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import argparse def parse_args(): """Generate args.""" parser = argparse.ArgumentParser() parser.add_argument( "--in_file", type=str, required=True, help="File to extract mentions from" ) parser.add_argument( "--out_file", type=str, required=True, help="File...
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import ast def safe_determine_type(string): """ Determine the python type of the given literal, for use in docstrings Args: string (str): The string to evaluate Returns: ``str``: The type, or "TYPE" if the type could not be determined """ try: return ast.literal_eval(...
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def greatest_common_divisor(a, b): """Retorna o maior divisor comum (MDC) entre a e b. Args: a (int): primeiro valor. b (int): segundo valor. Returns: int: Maior divisor comum (MDC) entre a e b. """ if 0 in (a, b): return 1 if a < b: return greatest_comm...
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def polyester_gl_input(): """Table C3.8.1 - generica material data""" return { "name": "polyester", "density": 1200, "modulus_x": 3000000, "modulus_xy": 1140000, "poisson": 0.316, }
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from numpy import right_shift,bitwise_and,empty,uint8,uint16 def mono12p_to_image_ver2(rawdata,row,col): """Converts FLIR Mono12p flat data format (uint8) to 16 bit image (uint16).""" arr = rawdata.reshape(-1,3) N = 2*len(arr) b0 = empty(N,uint8) b1 = empty(N,uint8) b0[0::2] = arr[:,0] b0[...
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def normalize(data): """ Normalize data into interval <0, 1> """ total = sum(data) normalized = [] for item in data: normalized.append(item/total) return normalized
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def _jupyter_nbextension_paths(): # pragma: no cover """Allows commands like jupyter nbextension install --py jupytext jupyter nbextension enable --py jupytext jupyter labextension install jupyterlab-jupytext""" return [ dict( section="notebook", # the path is relati...
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import torch import math def sym_diag(mat): """Diagonal of a symmetric matrix Parameters ---------- mat : (..., M * (M+1) // 2) tensor A symmetric matrix that is stored in a sparse way. Its elements along the last (flat) dimension are the diagonal elements followed by the flat...
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def borrow(sharedvar, boro=True): """ Gets the numpy ndarray underlying a sharedVariable """ return sharedvar.get_value(borrow=boro)
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def intersect(seq1, seq2): """Returns a list of elements in both seq1 and seq2.""" ret = [] for elem in seq1: if elem in seq2: ret.append(elem) return ret
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def code(value: int) -> str: """Constructs an ANSI code with the provided `value`.""" return f'\033[{value}m'
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import difflib def GetBestStringMatchValue(string1, string2): """ Return the value of the highest matching substrings between two strings. Parameters ---------- string1 : string First string. string2 : string Second string. Returns ---------- int Integer value representing...
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def unwrap_filter(response, category): """ Strips one layer of aggregations (named by <category>) from a ElasticSearch query response, leaving it still in proper ES response format. :param response: An Elasticsearch aggregation response dictionary. :param category: Name of the topmost aggregati...
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def get_longest_consecutive_chars(string): """ Given a string, return the longest consecutive character sequence. """ longest_consecutive_chars = '' current_consecutive_chars = '' for char in string: if char not in current_consecutive_chars: current_consecutive_chars += char...
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import math def root_mean_squared_error(LeadDay,df,model,observed): """ Args: LeadDay: specifically applies to forecast models with lead times if no lead day is available input None LeadDay is desired Lead day (int) df: data frame where Observed and Model data is found ...
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def remap_constraint_indices(tokenized_sequence, detokenized_sequence, constraint_indices): """ Map the constraint indices of a tokenized sequence to the indices of a detokenized sequence Any time there was '@@ ' in the tokenized sequence, we removed it - the detokenized sequence has fewer spaces tha...
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def pad_with_zeros(hist_list): """ For each year which doesn't exist here, put 0 """ last_year = hist_list[0][0] - 1 # initialize to be less than the first year i = 0 while i < len(hist_list): year_item = hist_list[i] if year_item[0] - last_year > 1: # fill the gap ...
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from typing import Tuple def find_prefix(root, prefix: str) -> Tuple[bool, int]: """ Check and return if prefix exists and how many """ node = root if not root.children: return False, 0 for char in prefix: char_not_found = True # search all children in present node ...
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def find_phone(p_id, phone_data): """ Finds the phone corresponding to the given user id """ if p_id in phone_data['ids']: position = phone_data['ids'].index(p_id) return phone_data['names'][position] return "-"
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def get_ext_domain_inurl_scheme_prefix(ext_domain, force_https=None): """旧版本遗留函数, 已经不再需要, 永远返回空字符串""" return ''
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import re def convert_to_python_var_name(name): """converts a imc server variable to python recommended format Args: name (str): string to be converted to python recommended format """ pattern = re.compile(r"(?<!^)(?=[A-Z])") python_var = re.sub(pattern, '_', name).lower() if python_...
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import os def _local_filename(filename): """Get an absolute path to filename in the same directory as this module.""" return os.path.join(os.path.dirname(os.path.abspath(__file__)), filename)
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import os import pickle def read_results_and_agent_types(folder_path): """ Plots the pickled results in a folder from old runs """ results = dict() for fname in os.listdir(folder_path): if fname.endswith(".pkl"): agent_name = fname.replace("-results_dict.pkl", "") r...
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def full_method(apple, pear, banana=9, *args, **kwargs): """ methody docstring """ return (apple, pear, banana, args, kwargs)
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def change_series(data): """ Filter a pandas series to only the times when there is change. """ data = data.diff() data = data[data!=0] return data.iloc[1:]
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def week(): """ Week number for API calls """ return 5
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import os import re def listdirs(directory = '.', dirname_regex = '.+'): """A utility function to list directories in a directory.""" dirnames = [] rawnames = os.listdir(directory) for rawname in rawnames: matchobj = re.search(dirname_regex, rawname) if matchobj is None: continue fullpath = os.path.join(...
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def module_file(module): """Return the correct original file name of a module.""" name = module.__file__ return name[:-1] if name.endswith('.pyc') else name
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def clamp(value, smallest, largest): """Return `value` if in bounds else returns the exceeded bound""" return max(smallest, min(value, largest))
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import os def get_xlsx_files(path): """ Gets all XLSX files in a given directory """ list_of_files = {} for (dirpath, dirnames, filenames) in os.walk(path): for filename in filenames: if '$' in filename: continue if filename.endswith('.xlsx'): list_of_files[filename] = os.sep.join([dirpath, f...
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def extra_whitespaces(): """Specially useful to remove extra whitespaces from text. Just replace by an empty str. """ return r'(?<=[ ]{1})[ ]{1,}'
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def convert_to_reverse_ip(ip): """A dummy function that takes some time.""" reverse_ip = ip.split('.') reverse_ip.reverse() reverse_ip = '.'.join(reverse_ip) return reverse_ip
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def oid_outside_tree(oid1, oid2): """ Return True if oid2 outside of oid1 tree Used by SNMPSession.walk """ try: if oid2.startswith(oid1): return False return True except: return True
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def calculate_iou(bb1, bb2): """ Calculates the Intersection Over Union (IOU) score of the two bounding-boxes (the overlap between two bounding boxes). each bounding-box coordinates are in the form of: (x_min, y_min, x_max, y_max). """ bb1_x_min, bb1_y_min, bb1_x_max, bb1_y_max = bb1 bb2_x_m...
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def fastDot(A, B, C): """ [Added 23/9/2018] [Updated 1/10/2018 Error in calculating which is faster] Computes a fast matrix multiplication of 3 matrices. Either performs (A @ B) @ C or A @ (B @ C) depending which is more efficient. """ size = A.shape n = size[0] p = size[1] if len(size) > 1 else 1 size = B...
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import os def get_full_path(filepath): """ Returns absolute path of file regardless of if user YAML input contains absolute or relative path. Will fail if path does not exist. Args: filepath: string path to desired file """ cwd = os.getcwd() cwdpath = os.path.join(cwd, filep...
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def _IOC(typ, nr, size, direction): """ generic IOCTL structure """ # 32bit: 2 bit direction, 14 bit size, 8bit type 8 bit nr, # r = ((size | (direction << 14)) << 16) | cmd r = direction << 30 | size << 16 | typ << 8 | nr return r
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def string_to_seq(seq_str): """Return a codepoint sequence (tuple) given its string representation.""" return tuple([int(s, 16) for s in seq_str.split("_")])
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import torch def create_pytorch_model( number_of_features, number_of_categories_by_label, label_to_test, **kwargs ): """ Create a toy PyTorch model that has the right shape for inputs and outputs """ class TorchToy(torch.nn.modules.module.Module): def __init__(self, number_of_features, nu...
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from typing import Counter import collections def numericalize_tok(tokens, max_vocab=50000, min_freq=0, unk_tok="_unk_", pad_tok="_pad_", bos_tok="_bos_", eos_tok="_eos_"): """Takes in text tokens and returns int2tok and tok2int converters Arguments: tokens(list): List of tokens. Can be a list of...
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