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def reverse_str(s): """Reverses the words in a sting and returns the new string to the caller. A word in this context is defined as any space seperated sequence of non-whitespace characters. """ s_list = s.strip().split(' ') s_list.reverse() rs = '' for word in s_list: rs = rs + ...
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import random def get_random_hashtags(input, number): """Gets a user-specified number of random hashtags from input Parameters: input (list): list of hashtags e.g. from fileIO.get_hashtags() number (int): number of random hashtags the we wanna get out Returns: Array of random hashtags """...
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def bbox_size(bbox): """Calcs bounding box width and height. :type bbox: list :param bbox: bounding box :rtype: tuple :return: width and height """ x0, y0, x1, y1 = bbox return abs(x1 - x0), abs(y1 - y0)
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def find_init(cls): """Find proper init function for the given class.""" cls_attrs = dir(cls) if "from_json" in cls_attrs: return getattr(cls, "from_json") return cls
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import time def pretty_time(input_time): """Convert unix epoch time to human readable format""" return time.strftime('%Y-%m-%d %H:%M:%S', time.gmtime(input_time))
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def classify_helmet_belt_worn(x): """ This function returns a strinig representation of the int value of the field which specifies whether the person was wearing a setabelt or a helmet. This specification is from the Road Crash Statistics Victoria , 2013 Edition document. :param x: int value represe...
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def tags(*tags): """ Given a list of tags as positional arguments TAGS, return a list of dictionaries in the format that the CKAN API wants! """ return [{'name': t.replace("'", "") } for t in tags]
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def array_current_index(array): """ Return the current index (elementIndex()) of a MArrayDataHandle, or -1 if the current index isn't valid, probably because the array is empty. """ try: return array.elementIndex() except RuntimeError as e: # If the array is empty, elementIndex r...
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def _GenerateAlignedHtml(hyp, ref, err_type): """Generate a html element to highlight the difference between hyp and ref. Args: hyp: Hypothesis string. ref: Reference string. err_type: one of 'none', 'sub', 'del', 'ins'. Returns: a html string with - error of hyp shown in "(hyp)" - e...
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def time_to_galex(atime): """ Given an astropy time object return the associated GALEX time (float) "GALEX Time" = "UNIX Time" - 315964800 """ return atime.unix - 315964800
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def gcd_step(a, b): """ Performs a single step of the gcd algorithm. Example: gcd_step(1071, 462) == (2, 147) because 1071 == 2 * 462 + 147. """ if a < b: return (0, b) res = 0 while a >= b: a -= b res += 1 return (res, a)
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import typing def empty(x: typing.Any) -> bool: """Returns true if x is None, or if x doesn't have a length, or if x's length is 0 """ if x is None: return True # noinspection PyBroadException try: return len(x) == 0 except: # noinspection PyBroadException return False
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def calculate_deg_fold_change(data1_df, data2_df, fc_cutoff=1, alternative='two-sided'): """ This function calculates differentially expressed genes (DEGs) between two DataFrames or Series based on fold-change. Parameters ---------- data1_df : DataFrame or Series gene ex...
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import uuid def my_random_string(string_length=10): """Returns a random string of length string_length.""" random = str(uuid.uuid4()) # Convert UUID format to a Python string. random = random.upper() # Make all characters uppercase. random = random.replace("-", "") # Remove the UUID '-'. return...
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import itertools def _chunk(iterable, size): """Split an iterable into chunks of a fixed size.""" # We're going to use some star magic to chunk the iterable. We create a # copy of the iterator size times, then pull a value from each to form a # chunk. The last chunk may have some trailing Nones if the...
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def valiant_app_title() -> str: """The expected app title.""" return "Valiant"
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def _find_user(oneandone_conn, user): """ Validates that the user exists by ID or a name. Returns the user if one was found. """ for _user in oneandone_conn.list_users(per_page=1000): if user in (_user['id'], _user['name']): return _user
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def _complex_matrix_multiplication(x, y, mult_func): """ Perform a matrix multiplication, helper function for complex_bmm and complex_mm. Parameters ---------- x : torch.Tensor y : torch.Tensor mult_func : Callable Multiplication function e.g. torch.bmm or torch.mm Returns ...
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def printBond(bond, shift, molecule, alchemicalTransformation): """Generate bond line Parameters ---------- bond : Bond Object Bond Object shift : int Shift produced by structural dummy atoms molecule : molecule object Molecule object alchemicalTransformation : bool ...
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def row_to_dict(row): """ Translate sql alchemy row to dict Args: row: SQL alchemy class Returns: data_dict(dict): data as dictionary """ if not row: return {} if hasattr(row, "__table__"): return dict((col, getattr(row, col)) for col in row.__...
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def score_stash_counts(table, per=1): """ Deduct points for cards in the stash. """ return -per * sum(len(stash.cards) for stash in table.stashes if stash.cards)
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def pad_blocksize(value, block=64): """Pads value to blocksize Args: value (bytes): Value to pad block (int): Block size (Default: 64) """ if len(value) % block != 0: value += b"\x00" * (block - (len(value) % block)) return value
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def in_title(substr): """Make sure the substring is in the title""" return lambda d: substr in d.title.lower()
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def pdfembed_html(pdfembed_specs): """ Build the iframe code for the pdf file, """ html_base_code = """ <iframe id="ID" style="border:1px solid #666CCC" title="PDF" ...
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def maybe_first(a, b): """Returns first argument 'a' if it is not None else 'b' """ return b if a is None else a
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def buildCDF(values): """ Given an array, accumulate it and normalize to the interval U[0,1] """ return (values.cumsum()-values.cumsum()[0])/values.cumsum()[-1]
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def check_perm(user, permission, website): """ Determine if the user has a global or website-specific permission Args: user (users.models.User): The user to check permission (str): The permission to check website (Website): The website to check """ return user.has_perm(perm...
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def validate_extension(extension): """ Checks that the API extension starts and does not end with a '/'. An error is raised, at which point the application exits, if the extension does not meet these validation rules. :param extension: The extension for the API """ extension = extension.str...
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import re def is_itiming_hosted(race_info): """ :param race_info: the race metadata to be inspected (RaceInfo) :return: if the given race is hosted on itiming.com """ it_re = re.compile(".*itiming\.com.*") match = it_re.search(race_info.url) return match is not None
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def mils(value): """Returns number in millions of dollars""" try: value = float(value) / 1000000 except (ValueError, TypeError, UnicodeEncodeError): return '' return '${0:,}M'.format(value)
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import re def extract_digits_from_text(text): """ This function extracts any digits in a text :param text: :return: """ return list(map(int, re.findall(r'\d+', text))) if text else []
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def get_domain_id(ks_client, domain_name): """Return domain ID. :param ks_client: Authenticated keystoneclient :type ks_client: keystoneclient.v3.Client object :param domain_name: Name of the domain :type domain_name: string :returns: Domain ID :rtype: string or None """ all_domains...
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import base64 def b64(content, encode=True): """Encode/Decode string to/from base64 Checks if content is base64 or not. Then converts it to or from base64. Args: content: Content to encode or decode encode: Encode or decode content. Default True (encode string to base64) Returns...
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async def present( hub, ctx, name, address_prefix, next_hop_type, route_table, resource_group, next_hop_ip_address=None, connection_auth=None, **kwargs, ): """ .. versionadded:: 1.0.0 Ensure a route exists within a route table. :param name: Name of the r...
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def pos_obs_from_sig(read_sig): """ Returns a list of position, observation pairs described in the read signature string. """ def pos_obs(var): """ Splits var into a int position and a string base. """ pos, obs = var.split(':') return int(pos), obs return [pos_obs(var) fo...
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def generate_color_series(color, variation, diff=10, reverse=False): """Generate light and dark color series. Args: color (tuple) : Color [0,255] variation (int) : How many colors to create. diff (int) : How much to change reverse (bool) : If ``True``, sort in descending...
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import glob def _glob(filenames): """Expand a filename or sequence of filenames with possible shell metacharacters to a list of valid filenames. Ex: _glob(('*.py*',)) == ['able.py','baker.py','charlie.py'] """ if type(filenames) is str: return glob.glob(filenames) flist = [] for f...
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import re def safe_filename(s: str, max_length: int = 255) -> str: """Sanitize a string making it safe to use as a filename. This function was based off the limitations outlined here: https://en.wikipedia.org/wiki/Filename. :param str s: A string to make safe for use as a file name. :param...
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def add_currency_filter_to_query(query, currency): """ Adds the currency filter to the query :param query: the query dictionary :type query: dict :param currency: currency type :type currency: str :return: the query dictionary :rtype: dict """ if "filters" not in query["query"]:...
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from typing import Iterable from typing import Tuple def compute_iterable_delta(old: Iterable, new: Iterable) -> Tuple[set, set, set]: """Given two iterables, return the entries that's (added, removed, updated). Usage: >>> old = {"a", "b"} >>> new = {"a", "d"} >>> compute_iterable_del...
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def average_word_length(tweet): """ Return the average length of the tweet :param tweet: raw text tweet :return: the float number of character count divided by the word count """ character_count = 0 word_count = 0 for c in tweet: character_count += 1 word_count = len(twee...
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def split_columns(line, separator='\t'): """ Split a line with a "separator" """ return line.split(separator)
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def connection_requires_http_tunnel( proxy_url=None, proxy_config=None, destination_scheme=None ): """ Returns True if the connection requires an HTTP CONNECT through the proxy. :param URL proxy_url: URL of the proxy. :param ProxyConfig proxy_config: Proxy configuration from poolman...
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def is_schema_field(field): """ Returns whether or not we should expect a schema to be found for the given field. Currently this only applies to validation_errors and aggregated_items. :param field: field name to check :return: False if this field doesn't a schema, True otherwise """ # XXX:...
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import json def load_json_file(json_path, logger=None, encoding=None): """Load a JSON file, possibly logging errors. Parameters ---------- json_path : path_like Relative path to the JSON file. logger : logging.Logger (optional, default None) Logger to use. ...
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def end_of_day(dt): """Take datetime and move forward to last microsecond of date""" return dt.replace(hour=23, minute=59, second=59, microsecond=999999)
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from datetime import datetime import shutil def fix_md5_file(filename, append_path, savebu=False): """ Fixes the md5 file so that it will check the zip at the correct path If you run md5sum in a different directory, then the md5 file needs to specify the directory or it will be unable to find it. Thi...
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def read_pid_stat(pid="self"): """ Returns system process stat information. :param pid: The process ID. :returns: The system stat information. :rtype: dict """ with open("/proc/%s/stat" % (pid,), "rb") as f: stat = f.readline().split() return { "utime": int(stat[13]), ...
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import string def remove_punctuation(myString): """Remove punction from input string Arguments - myString: a string of text Returns: - newString: a string of text without punctuation """ translator = str.maketrans('', '', string.punctuation) newString = myString.tra...
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import statistics def get_window_size(windows): """ Returns median window size calculated from difference in neighboring window positions """ diffs = [abs(e-s) for s, e in zip(windows[0:], windows[1:])] median_window = statistics.median(diffs) return median_window
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def create_key_pair(client, name): """ Create a new key pair and return the private key """ response = client.create_key_pair(KeyName=name) return response['KeyMaterial']
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def page_list(pages, publish_filter=None, limit=None, meta_sort='', reverse=False): """Basic sorting and limiting for flatpage objects""" if publish_filter is True: # Only published pages = [p for p in pages if p.meta['published']] elif publish_filter is False: # Only unpublished ...
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def black_invariant(text, chars=None): """Remove characters that may be changed when reformatting the text with black""" if chars is None: chars = [' ', '\t', '\n', ',', "'", '"', '(', ')', '\\'] for char in chars: text = text.replace(char, '') return text
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def check_min_guide_pairs(df, min_pairs): """Check that each guide is paired with a minimum number of guides Parameters ---------- df: DataFrame Anchor df with column anchor_guide min_pairs: int minimum number of guides to be paired with Returns ------- List gui...
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def checksum(number, bits=4): """ Calculate the checksum of a number. The checksum of length N is formed by splitting the number into bitstrings of N bits and performing a bitwise exclusive or on them. :param number: Number to generate the check :type number: int :return: Checksum of the ...
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def value_to_string(val, precision=3): """ Convert a number to a human readable string. """ if (not isinstance(val, float)) or (val == 0): text = str(val) elif (abs(val) >= 10.0**(precision+1)) or \ (abs(val) <= 10.0**(-precision-1)): text = "{val:.{prec}e}".format(val=val, ...
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def diagpq(p, q=0): """ Returns string equivalent metric tensor for signature (p, q). """ n = p + q D = [] for i in range(p): D.append((i*'0 ' +'1 '+ (n-i-1)*'0 ')[:-1]) for i in range(p,n): D.append((i*'0 ' +'-1 '+ (n-i-1)*'0 ')[:-1]) return ','.join(D)
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import torch def get_device(device_num: int = 0): """Get a device (GPU or CPU) for the torch model """ # If there's a GPU available... if torch.cuda.is_available(): # Tell PyTorch to use the GPU. device = torch.device(f"cuda:{device_num}") print("There are %d GPU(s) available."...
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def _unique_item_counts(iterable): """ Build a dictionary giving the count of each unique item in a sequence. :param iterable: sequence to obtain counts for :type iterable: iterable object :rtype: dict[obj: int] """ items = tuple(iterable) return {item: items.count(item) for i...
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from typing import Tuple from typing import List def read_dataset(path: str) -> Tuple[List[List[str]], List[List[str]]]: """ Reads a dataset from a given path. Args: path: Path of the file stored in tsv format. Returns: A 2D list of tokens and another of associated labels. """ ...
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import torch def swish_func(x, beta=1.0, inplace=False): """ "Swish: a Self-Gated Activation Function" Searching for Activation Functions (https://arxiv.org/abs/1710.05941) If beta=1 applies the Sigmoid Linear Unit (SiLU) function element-wise If beta=0, Swish becomes the scaled linear function (...
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def K(u, kap, eps): """Compute diffusion function .. math:: K(u) = \kappa \, (1 + \varepsilon u)^3 + 1 Parameters ---------- u : array_like Temperature variable. kap : float Diffusion parameter. eps : float Inverse of activation energy. Returns ---...
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def get_control_count(cmd): """ Return the number of control qubits of the command object cmd """ return len(cmd.control_qubits)
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def dual_neighbours(p, displace=1): """All the dual neighbours of primal vertex p in the RHG lattice. A helper function for RHG_graph. Given a primal vertex p, returns the coordinates of all the dual neighbours. Assumes each neighbour is 1 unit away by default. Args: p (tuple): the coordin...
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def _IncludedPaintEvents(events): """Get all events that are counted in the calculation of the speed index. There's one category of paint event that's filtered out: paint events that occur before the first 'ResourceReceiveResponse' and 'Layout' events. Previously in the WPT speed index, paint events that cont...
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def load_trec_labels_dict(in_name): """ input: trec format qrel :param in_name: qrel :return: h_qrel = {qid:{doc:score} } """ h_qrel = {} l_lines = open(in_name).read().splitlines() for line in l_lines: cols = line.split() qid = cols[0].strip() docno = cols[2].st...
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def is_templated(module): """Returns an indication where a particular module is templated """ if "attr" not in module: return False elif module["attr"] in ["templated"]: return True else: return False
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def powerlaw(wave, tau_v=1, alpha=1.0, **kwargs): """Simple power-law attenuation, normalized to 5500\AA. :param wave: The wavelengths at which optical depth estimates are desired. :param tau_v: (default: 1) The optical depth at 5500\AA, used to normalize the attenuation curve. ...
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import unittest def run_student_tests(print_feedback=True, show_traces=True, success_required=True): """Run a suite of student submitted tests. Tests must be located in /autograder/source/student_tests/ Args: print_feedback (bool): Print success or failure message s...
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def ask_confirmation(message, yes = 'y', no = 'n', default = False): """ Ask user to confirm something. Ask again if answer other than expected. Arguments: - message (string): message to print (e.g. "Are you sure?") - yes (string): expected value if user confirms - no (s...
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from datetime import datetime def line_to_time(line): """ Extract timestamp from a line, created by log. """ time = line.split(' ')[0].split(',')[0] time = datetime.strptime(time, '%Y-%m-%d %H:%M:%S') return time
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def get_common_start_stop_times(neo_objects): """ Extracts the `t_start`and the `t_stop` from the input neo objects. If a single neo object is given, its `t_start` and `t_stop` is returned. Otherwise, the aligned times are returned: the maximal `t_start` and minimal `t_stop` across `neo_objects`. ...
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def cast_position_and_time(cast): """Retrieve ONC cast average longitude, latitude and minimum time. :arg cast: the ONC cast :type cast: a single group of pandas grouby object :returns: lat, lon, date """ lon = cast['Longitude Corrected (deg)'].mean() lat = cast['Latitude Corrected (deg)'...
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import math def poisson(k, lamb): """ Calculate the Poisson distribution given (k, lambda). """ return math.exp(-lamb) * math.pow(lamb, k) / math.factorial(k)
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def _detect_adfs_authority(authority_url, tenant): """Prepare authority and tenant for Azure Identity with ADFS support. If `authority_url` ends with '/adfs', `tenant` will be set to 'adfs'. For example: 'https://adfs.redmond.azurestack.corp.microsoft.com/adfs' -> ('https://adfs.redmond.azuresta...
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def make_unique(items): """Remove duplicate items from a list, while preserving list order.""" seen = set() def first_occurrence(i): if i not in seen: seen.add(i) return True return False return [i for i in items if first_occurrence(i)]
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import six def _get_selections_from_property_and_vertex_fields(property_fields_map, vertex_fields): """Combine property fields and vertex fields into a list of selections. Args: property_fields_map: OrderedDict[str, Field], mapping name of field to their representation. I...
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def get_string_before_delimiter(string, delimiter): """ Returns contents of a string before a given delimiter Example: get_string_before_delimiter("banana-kiwi", "-") returns "banana" """ if delimiter in string: return (string[:string.index(delimiter)]).strip() else: retu...
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def quote(word_list): """ Quote a list or tuple of strings for Unix Shell as words, using the byte-literal single quote. The resulting string is safe for use with ``shell=True`` in ``subprocess``, and in ``os.system``. ``assert shlex.split(ShellQuote(wordList)) == wordList``. See POSIX.1:2013 ...
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def flatten_nested(nested_dicts): """ Flattens dicts and sequences into one dict with tuples of keys representing the nested keys. Example >>> dd = { \ 'dict1': {'name': 'Jon', 'id': 42}, \ 'dict2': {'name': 'Sam', 'id': 41}, \ 'seq1': [{'one': 1, 'two': 2}] \ } >>>...
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def remove_templates(text): """Remove all text contained between matched pairs of '{{' and '}}'. Args: text (str): Full text of a Wikipedia article as a single string. Returns: str: A copy of the full text with all templates removed. """ good_char_list = [] prev_char = None ...
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import secrets def nonce(length=20): """ Generate a nonce string. This is just a random string that uniquely identifies something. It needn't be globally unique, just unique enough for a period of time (e.g. to identify a specific call in a rolling log file). """ return secrets.token_urlsa...
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def after_request(response): """Grafana makes POST requests for queries, which aren't on the same domain/port from which you're serving the Grafana instance. Therefore we must add the headers so the browser will approve the cross domain request. Flask automatically deals with OPTIONS requests, which use...
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def make_split(df, t): """ Splits a dataframe on attribute. Parameter: df -- the dataframe to split t -- target attribute to split upon Return: new_df -- split dataframe """ new_df = {} for df_key in df.groupby(t).groups.keys(): new_df[df_key] = df.groupby(t).get_group(df_key) return new_df
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def filter_reviews_rating(df, threshold): """ Filters reviews with rating below a threshold (normalized) :param df: dataframe of reviews :param threshold: float from 0 to 1 :return: filtered reviews dataframe """ df = df.copy() return df[df['cleaned_ratings'] <= threshold]
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def quantize_float(f, q): """Converts a float to closest non-zero int divisible by q.""" return int(round(f / q) * q)
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import socket def open_port() -> int: """Find an open port.""" with socket.socket() as s: s.bind(("", 0)) port = s.getsockname()[1] return port
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def centerOfMass(positions, weights): """ Calculate the center of mass of a set of weighted positions. Args: positions: A list of (x,y,z) position tuples weights: A list of position weights Return: A tuple of floats representing the coordinates of the center of mass. """ tot_weight = sum(weigh...
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def formatBuckets(buckets): """ Formats buckets into a list of strings :param buckets: buckets to be formatted """ timeList = [] for i, bucket in enumerate(buckets): formatStr = '{0:4,.3g}' if i < len(buckets) -1 else '>>{0:4,.3g}' timeList.append(formatStr.format(bucket)) return timeList
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def pk_equals(first, second): """ Helper function to check if the ``pk`` attributes of two models are equal. """ return first.pk == second.pk
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def _max_thread_width(thread): """compute the widest breadth of the thread, that is the max number of replies a comment in the thread has received""" if not thread['children']: return 0 return max( max([_max_thread_width(reply) for reply in thread['children']]), len(thread['child...
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from datetime import datetime def mdtm_to_string(mtime: int) -> str: """Convert the last modification date of a file as an iso string""" return datetime.utcfromtimestamp(mtime).isoformat() + "Z"
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def pairs_from_array(a): """ Given an array of strings, create a list of pairs of elements from the array Creates all possible combinations without symmetry (given pair [a,b], it does not create [b,a]) nor repetition (e.g. [a,a]) :param a: Array of strings :return: list of pairs of strings """ pairs = l...
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def delete_index(es, index): """ Delete Elasticsearch index. """ return es.indices.delete(index)
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def buckle_thickness(D_o, P_p, sig_y): """Return the nominal buckle thickness [t] based on the propagation pressure. Considers the worst case maximum external pressure and ignores internal pressure - PD8010-2 Equation (G.21). :param float D_o: Outside Diameter [m] :param float P_p: Propagation pres...
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def get_image_name(name: str, tag: str, image_prefix: str = "") -> str: """Get a valid versioned image name. Args: name (str): Name of the docker image. tag (str): Version to use for the tag. image_prefix (str, optional): The prefix added to the name to indicate an organization on Docke...
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def get_name_from_link(link): """ returns name from link. """ name = link.split("/")[-1] return name
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def partial_weight(problem, partial_tour): """Return weight of partial tour, excluding the edge from last to first city.""" weight = 0 for i in range(1, len(partial_tour)): weight += problem.get_weight(partial_tour[i], partial_tour[i - 1]) return weight
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import torch def _reduce_list(val_list, red_func=torch.cat): """ Applies reduction function to given list. If each element in the list is a Tensor, applies reduction function to all elements of the list, and returns the output Tensor / value. If each element is a tuple, applies reduction function ...
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def format_url(category: str, year: int, month: str, day: str) -> str: """ It returns a URL from The Guardian website with links for the articles of the given date and category :param category: A String representing the category :param year: An integer representing the year :param month: A Str...
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