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def two_sum(arr, target): """Function takes in two args, the input array and the target. T: O(n) - We loop through the array once S: O(n) - We use an extra data structure to store the target-curr :param arr: Input array :param target: Target :return: list of two numbers, else empty a...
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from typing import Type from typing import Any from typing import Hashable def kwargify(item: Type[Any], args: tuple[Any]) -> dict[Hashable, Any]: """Converts args to kwargs. Args: args (tuple): arguments without keywords passed to 'item'. item (Type): the item with annotations used to co...
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import argparse def get_parser(): """ Setup parser for command line arguments """ main_parser = argparse.ArgumentParser() main_parser.add_argument('--data_path', type=str, default=None, help='Path to database with filtered, generated molecules ' ...
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import torch def MRR(logits, target): """ Compute mean reciprocal rank. :param logits: 2d tensor [batch_size x rel_docs_per_query] :param target: 2d tensor [batch_size x rel_docs_per_query] :return: mean reciprocal rank [a float value] """ assert logits.size() == target.size() sorted,...
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def sort_diffs(diff): """ Sort diffs so we delete first and create later """ if diff['action'] == 'delete': return 1 else: return 2
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def update_query_object(query, data, exceptions=[]): """Iterates over given data object. Set attributes to SQLAlchemy query. Args: query (obj): SQLAlchemy query object data (obj): Given request's arguments from JSON exceptions (list): Keys for which iteration ...
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def build_counts_dict_from_list(count_list): """ Add dictionary counts together """ if len(count_list) == 1: return count_list[0] new_count_dict = {} for countdict in count_list: for x in countdict: new_count_dict[x] = countdict[x]+new_count_dict.get(x, 0) retu...
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def pv_f(fv, r, n): """Objective: estimate present value fv : = future value r : = rate of discount n : = num of iterations (usually num of years, num of months etc) fv formula : pv = -------- (1 + r) ^ n """ pv = 0 iCount = 0 for cash in fv: ...
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def _deep_get(instance, path): """ Descend path to return a deep element in the JSON object instance. """ for key in path: instance = instance[key] return instance
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import torch def rgb_transpose(img): """ from [..., y, x, rgb] to [..., y, x, rgb] """ _ = {img.shape[-1], img.shape[-3]} assert 3 in _ and len(_) == 2, img.shape if img.shape[-3] == 3: return torch.einsum('...cyx->...yxc', img) else: return torch.einsum('...yxc->...cyx', i...
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def _is_db_connection_error(args): """Return True if error in connecting to db.""" # NOTE(adam_g): This is currently MySQL specific and needs to be extended # to support Postgres and others. conn_err_codes = ('2002', '2003', '2006') for err_code in conn_err_codes: if args.find(...
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def linear_full_overlap(dep_t, dep_h): """Checks whether both the head and dependent of the triplets match.""" return (dep_h[0] in dep_t[0]) and (dep_h[2] in dep_t[2])
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import numpy def IM_mscore(params): """ ms core command for IM. """ s,nu1,nu2,T,m12,m21 = params alpha1 = numpy.log(nu1/s)/T alpha2 = numpy.log(nu2/(1-s))/T command = "-n 1 %(nu1)f -n 2 %(nu2)f "\ "-eg 0 1 %(alpha1)f -eg 0 2 %(alpha2)f "\ "-ma x %(m12)f %(m21)f x "...
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def points_2_xywh(box): """ Converts [xmin, ymin, xmax, ymax] to [xmin, ymin, width, height]. """ box = [box[0], box[1], box[2] - box[0], box[3] - box[1]] box = [int(round(x)) for x in box] return box
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import random def talk_time(msg): """Formulae for calculating how long to type for.""" return len(msg.content) * 0.01 + (random.random() * 2 + 1)
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def _find_appliance(oneandone_conn, appliance): """ Validates the appliance exists by ID or name. Return the appliance ID. """ for _appliance in oneandone_conn.list_appliances(q='IMAGE'): if appliance in (_appliance['id'], _appliance['name']): return _appliance['id']
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def reference_sort(dataframe): """Function to sort mechanistic drug targets based on number of references.""" if not dataframe.empty: dataframe["rank"] = dataframe["ref_map"].str.count(",") dataframe = dataframe.sort_values(by=["rank"], ascending=False).drop(columns=["rank"]) return datafram...
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import time def get_datetime_string(format_string='%m:%d:%Y:%X'): """ Returns a string representation of current (local) time :kw format_string: Format string to pass to strftime (optional) """ return time.strftime(format_string, time.localtime())
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from functools import reduce def sanitize_for_latex(text): """ Sanitzes text for use within LaTeX. Escapes LaTeX special characters in order to prevent errors. """ escape = '%_&~' replacers = (lambda s: s.replace(e, r'\{}'.format(e)) for e in escape) return reduce(lambda s, f: f(s), replacers,...
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def mayanToNumber(mayanSymbols, mayan): """Find a mayan numeral in a list of mayan numerals.""" for val, nb in mayanSymbols.iteritems(): if ''.join(nb) == ''.join(mayan): return val
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def make_free_energy_lines(condition_lambda0, condition_lambda1, alchemical_molecule, lambda_step, starting_lambda=0, couple_intramol='no', sc_alpha=0.5, ...
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def get_gdrive_id(url): """ Returns the gdrive ID by splitting with the delimiter "/" and getting the element on index 5 which is usually the gdrive ID for a file or folder Requires one argument to be defined: - The gdrive link (string) """ url = url.split("/")[5] if "?" in url: url = url.s...
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from typing import List import re def split_quoted_string(string_to_split: str, character_to_split_at: str = ",", strip: bool = False) -> List[str]: """ Split a string but obey quoted parts. from: "first, string", second string to: ['first, string', 'second string'] Parameters ---------- ...
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def postprocess(path,line1,line2): """return data as an array... turn data that looks like this: 100 0.98299944 200 1.00444448 300 0.95629907 into something that looks like this: [[100, 0.98299944], [200, 1.00444448], [300, 0.95629907], ... ]""" y = [] d...
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import re def ValidateKeyId(key_id): """Ensures a key id is well structured.""" # Keys are hexadecimal return re.match(r'[a-z0-9]+', key_id)
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def find_invalid_venues(all_items): """Find venues assigned slots that aren't on the allowed list of blocks.""" venues = {} for item in all_items: valid = False item_blocks = list(item.venue.blocks.all()) for slot in item.slots.all(): for block in item_blocks: ...
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import re def timespec_to_seconds(ts): """ turn either hh:mm:ss or %dw%dd%dh%dm%ds into seconds. for the latter, things like "1w" or "1w1s" are ok, but "1s1w" (out-of-order) is not. :param ts: string timespec :return: integer seconds """ c = {'w': 0, 'd': 0, 'h': 0, 'm': 0, 's': 0} ...
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def _get_color_definitions(data): """Returns the list of custom color definitions for the TikZ file. """ definitions = [] fmt = "\\definecolor{{{}}}{{rgb}}{{" + ",".join(3 * [data["float format"]]) + "}}" for name, rgb in data["custom colors"].items(): definitions.append(fmt.format(name, rgb...
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import os def get_abs_path(relative_path: str) -> str: """Attempts to return the absolute path of a relative path by joining the relative path with the project root Args: relative_path (str): the relative path Returns: str: the absolute path """ project_root = os.path.dirname(o...
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import re def mobile(mobile_str): """ 检验手机号格式 :param mobile_str: 被检验字符串 :return: mobile_str """ if re.match(r'^1[3-9]\d{9}$', mobile_str): return mobile_str else: raise ValueError('{} is not a valid mobile'.format(mobile_str))
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def create_multiset_format(n, rs, pfs): """ Function that converts the given n, rs and pfs into a multiset format. Arguments ========= n: Total length of the permutations rs: How many of each non-X elements should be present within each permutation pfs: The value of each non-X prime factor ...
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def absoluteBCPOut(anchor, BCPOut): """convert relative outgoing bcp value to an absolute value""" return (BCPOut[0] + anchor[0], BCPOut[1] + anchor[1])
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import os def fixPaths(details, spaceDirectory, subDirectory=None, fileName=None): """ :param details: :param spaceDirectory: :param subDirectory: :param fileName: :return: """ if subDirectory: if not os.path.isabs(subDirectory): finalPath = os.path.join(spaceDirec...
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import logging def is_db_user_superuser(conn): """Function to test whether the current DB user is a PostgreSQL superuser.""" logger = logging.getLogger('dirbs.db') with conn.cursor() as cur: cur.execute("""SELECT rolsuper FROM pg_roles WHERE rolname...
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def intersect(a1, b1, a2, b2): """ Détection d'intersection entre deux intervalles : renvoie `false` si l'intersection de [a1;a2] et [b1;b2] est vide. Arguments: a1 et b1 (float): bornes du premier intervalle a2 et b2 (float): bornes du second intervalle """ return b1 > a2 and b2 > ...
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from typing import Sequence from typing import Tuple def my_quat_conjugate(q: Sequence[float]) -> Tuple[float,float,float,float]: """ "invert" or "reverse" or "conjugate" a quaternion by negating the x/y/z components. :param q: 4x float, W X Y Z quaternion :return: 4x float, W X Y Z quaternion """ return q[0]...
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def topic_to_message_handler(topic, register_list): """Register handler to topic.""" def register(func): register_list["send.{}".format(topic)] = func return func return register
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def generate_ac_data(csv_writer,ballots,round,ac_cnt): """ generate output for accumulation chart """ # Cand is who is getting eliminated # Round is who is getting eliminated # Segment is when accumulated # csv_writer.writerow(['Ballot','Round','Segment','Number','Ranks']) d = dict() fo...
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def S_adjust_phase_data(_data_list, _transform): """ Returns data samples where the phase is moved by transform amount. """ a_data = [] ds = len(_data_list) for i in range(ds): a_data.append((_data_list[i][0]+_transform, _data_list[i][1])) return a_data
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def GetTopicName(args): """Get the topic name based on project and topic_project flags.""" if args.add_topic: topic_ref = args.CONCEPTS.add_topic.Parse() elif args.remove_topic: topic_ref = args.CONCEPTS.remove_topic.Parse() else: topic_ref = args.CONCEPTS.update_topic.Parse() return topic_ref.Re...
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def example_4_10_4(v): """ Lemma 4.10.3: For any C-vector a over F, the function f: FC −→ F defined by f(x) = a·x is a linear function. Bilinearity of dot-product Lemma 4.10.3 states that, for any vector w, the function x → w · x is a linear function of x. Thus the dot-product function f(x, y) = x · y ...
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from typing import Iterable from typing import Sequence def arg_str_seq_none(inputs, name): """Simple input handler. Parameters ---------- inputs : None, string, or iterable of strings Input value(s) provided by caller name : string Name of input, used for producing a meaningful er...
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from typing import MutableMapping from typing import Any def flatten( dictionary: MutableMapping[Any, Any], separator: str = ".", parent_key=False ): """ Turn a nested dictionary into a flattened dictionary Parameters: dictionary: dictionary The dictionary to flatten paren...
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def ramp(x): """smooth ramp function from curl noise paper""" if x > 1.0: return 1.0 elif x < -1.0: return -1.0 else: return 15.0 / 8.0 * x - 10.0 / 8.0 * x * x * x + 3.0 / 8.0 * x * x * x * x * x
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import statistics def score(text, *score_functions): """Score ``text`` using ``score_functions``. Examples: >>> score("abc", function_a) >>> score("abc", function_a, function_b) Args: text (str): The text to score *score_functions (variable length argument list): function...
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import pandas def normalize_features(features): """ Normalize the features of MAC addresses. Parameters ---------- features : list A list of tuples, where each tuple contains the features of a MAC address. Returns ------- numpy array A numpy array with the normalized features of MAC...
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import numpy def norm(vector): """just a Frobenius norm for now >>> norm([1,1,1,1]) 2.0 """ return numpy.linalg.norm(vector)
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import random def random_ind(N, begVal = 0,endVal = 64): """ Summary : Parameters ---------- N : TYPE, DESCRIPTION begVal : TYPE, DESCRIPTION endVal : TYPE, DESCRIPTION Returns ------- rndInts : TYPE, DESCRIPTION """ rndInts = [] ...
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def line_lister(line): """ Returns a a list of stripped line split on ','. """ return [li.strip() for li in line.split(',')]
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def ip_key(key): """Function to make a 'canonical' IP string for sorting. The given IP has each subfield expanded to 3 numeric digits, eg: given '1.255.24.6' return '001.255.014.006' """ ip = key[0] fields = ip.split('.') result = [] for f in fields: result.append('%03d' % ...
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def to_camel_case(snake_case): """ convert a snake_case string to camelCase """ components = snake_case.split('_') return components[0] + "".join(x.title() for x in components[1:])
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def dispatch_dict(operator, _x, _y): """Use dictionary to dispatch operator.""" return { 'add': lambda: _x + _y, 'sub': lambda: _x - _y, 'mul': lambda: _x * _y, 'div': lambda: _x / _y, }.get(operator, lambda: None)()
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import os import yaml def load_topo_file(topo_name): """Load topo definition yaml file.""" topo_file = "vars/topo_%s.yml" % topo_name if not os.path.exists(topo_file): raise ValueError("Topo file %s not exists" % topo_file) with open(topo_file) as fd: return yaml.safe_load(fd)
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import re def RemoveLocations(test_output): """Removes all file location info from a Google Test program's output. Args: test_output: the output of a Google Test program. Returns: output with all file location info (in the form of 'DIRECTORY/FILE_NAME:LINE_NUMBER: 'or 'DIRECTORY\\...
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def editar_contato(lista, x, st): """ A função edita e informa se uma informação foi editada ou se ela já estava na lista; list, int, str - > bool """ if x<0 or x>3: return False if x != 1: return True if int(lista[1][0]) == int(st) or int(lista[1][1]) == int(st): return Fals...
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def _ValidateReplicationFlags(flag_dict): """Verifies correct usage of the bigtable replication flags.""" return (not flag_dict['bigtable_replication_cluster'] or flag_dict['bigtable_replication_cluster_zone'])
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def text_to_word_sequence(text, filters='!"#$%&()*+,-./:;<=>?@[\\]^_`{|}~\t\n', lower=True, split=" "): """Converts a text to a sequence of words (or tokens). # Arguments text: Input text (string). filters: Sequence of characters to filter out....
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def get_grants(df): """Get list of grant numbers from dataframe. Assumptions: Dataframe has column called 'grantNumber' Returns: set: valid grant numbers, e.g. non-empty strings """ print(f"Querying for grant numbers...", end="") grants = set(df.grantNumber.dropna()) print...
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import math def round_to_order(value, order, round_op=None, as_int=False): """ :param value: :param order: :param round_op: :param as_int: :return: """ if round_op is None: round_op = round if order == 0: value = round(float(value)) return int(value) if a...
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def getNumCustomMapOptionValues(argsList): """ Number of different choices for a particular setting argsList[0] is Option ID (int) Return an integer """ return 0
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from typing import Optional from pathlib import Path def join_paths(path1: Optional[str] = "", path2: Optional[str] = "") -> str: """ Joins path1 and path2, returning a valid object storage path string. Example: "/p1/p2" + "p3" -> "p1/p2/p3" """ path1 = path1 or "" path2 = path2 or "" # co...
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def stock_price_summary(price_changes): """ (list of number) -> (number, number) tuple price_changes contains a list of stock price changes. Return a 2-item tuple where the first item is the sum of the gains in price_changes and the second is the sum of the losses in price_changes. >>> stock_price...
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import os def run_phenotools(start, end, term, hpo): """ Run phenotools for a single category :param categ: :return: """ mycommand = "../phenotools hpo --hp %s --date %s --enddate %s --term %s --out tmp.txt" % (hpo, start, end, term) print(mycommand) os.system(mycommand) subontolog...
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from typing import List def longest_increasing_sub(numbers: List[int]) -> int: """ Dynamic Programming. Time Complexity: O(n*n) Space Complexity: O(n) """ length = len(numbers) res = [1] * length for i in range(1, length): for j in range(0, i): if numbers[j] < numb...
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import struct def seq_to_bytes(s): """Convert a sequence of integers to a *bytes* instance. Good for plastering over Python 2 / Python 3 cracks. """ fmt = "{0}B".format(len(s)) return struct.pack(fmt, *s)
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def add(numbers): """Sums all the numbers in the specified iterable""" the_sum = 0 for number in numbers: the_sum += int(number) return the_sum
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def parse_int_ge0(value): """Returns value converted to an int. Raises a ValueError if value cannot be converted to an int that is greater than or equal to zero. """ value = int(value) if value < 0: msg = ('Invalid value [{0}]: require a whole number greater than or ' 'equal t...
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def _read_quoted_string(s, start): """ start: offset to the first quote of the string to be read A sort of loose super-set of the various quoted string specifications. RFC6265 disallows backslashes or double quotes within quoted strings. Prior RFCs use backslashes to escape. This l...
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import argparse def parse_args(args): """CLI options takes sys.argv[1:].""" parser = argparse.ArgumentParser( description="Un-Archive a directory prepped by archivetar", epilog="Brock Palen brockp@umich.edu", ) parser.add_argument( "--dryrun", help="Print what would do but don...
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def power(x, y): """ Question 5.7: Given a double x and an integer y, return x ^ y """ result = 1.0 # handling negative case if y < 0: x = 1.0 / x y = -y while y: if y & 1: result *= x x *= x y >>= 1 return result
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def evaluate_difference(lst_a, lst_b): """ Determines how much overlap there is between the two input lists. Essentially a value function to maximize. """ assert isinstance(lst_a, list) assert isinstance(lst_b, list) lst_a_len = lst_a.__len__() if lst_a_len > lst_b.__len__(): r...
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import string def remove_punct(value): """Converts string by removing punctuation characters.""" value = value.strip() value = value.translate(str.maketrans('', '', string.punctuation)) return value
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def correct_name_servers(logger, result, zone): """ This is to deal with issues in the whois library where the response is a string instead of an array. Known variants include: - "Hostname: dns-1.example.org\nHostname: dns-2.example.org\nHostname..." - "No nameserver" - "dns...
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def rearrange(arr: list) -> list: """Copy, Sort and fill Time Complexity: O(n*log(n)) Space Complexity: O(n) """ temp: list = sorted(arr) l: int = len(arr) even: int = int(l / 2) odd: int = even + 1 j: int = odd - 1 for k in range(0, l, 2): # odd positions arr[k] = temp...
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import csv import json def hmtvar_annotations(insilicos_path: str): """Extract HmtVar in silico predictions for tRNA variants, retrieved via API using get_hmtvar.py. :param insilicos_path: path to the insilicos directory with required file :return: matches_hmtvar dictionary with HmtVar prediction for eve...
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import os import tarfile def extract_tarfile(tarfile_name, output_path, target_file_name='target'): """ 解压tar或tar.gz文件. @params: tarfile_name - tar或tar.gz文件. output_path - 输出路径. target_file_name - 输出模板文件名称. @return: On success - 解压信息. O...
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def zero_finder(bin_system): """ Walking through a cubic bin-system containing zeros and ones, searching for a zero. Parameters: ----------- bin_system: array (x, y, z, 1) cubic system containing zeros and ones Returns: -------- array (3, ), the position of the first zero-b...
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import os def load_settings(path): """ Take given file path and return dictionary of any key=value pairs found. """ if os.path.exists(path): comments = lambda s: s and not s.startswith("#") settings = filter(comments, open(path, 'r')) return dict((k.strip(), v.strip()) for k, _...
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import pickle def default_model_read(modelfile): """Default function to read model files, simply used pickle.load""" return pickle.load(open(modelfile, 'rb'))
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import warnings def combine_cols(df, combos): """Combine columns within a single data frame with the aggregation function specified in each combination. Args: df: Pandas data frame. combos: Tuple of combination column name and a nested tuple of the columns to combine as ...
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def _variant_genotypes(variants, missing_genotypes_default=(-1, -1)): """Returns the genotypes of variants as a list of tuples. Args: variants: iterable[nucleus.protos.Variant]. The variants whose genotypes we want to get. missing_genotypes_default: tuple. If a variant in variants doesn't have ...
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import struct def byte(number): """ Converts a number between 0 and 255 (both inclusive) to a base-256 (byte) representation. Use it as a replacement for ``chr`` where you are expecting a byte because this will work on all versions of Python. Raises :class:``struct.error`` on overflow. :param number:...
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def getYear(orig_date_arr): """ return an integer specifying the previous Year """ if orig_date_arr[1] == orig_date_arr[2] == 1: return orig_date_arr[0] - 1 else: return orig_date_arr[0]
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import random def generate_events(grid_size, event_type, probability, event_max): """ Generate up to 'number' of events at random times throughout the night. Return events as a list of lists containing the event type and time grid index at which the event occurs. Example ------- >>> events = ...
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import os def nr_cores_available(): """ Determine the number of cores available: If set, the environment variable `PYABC_NUM_PROCS` is used, otherwise `os.cpu_count()` is used. Returns ------- nr_cores: int The number of cores available. """ try: return int(os.environ[...
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def calc_pos_protected_percents(predicted, sensitive, unprotected_vals, positive_pred): """ Returns P(C=YES|sensitive=privileged) and P(C=YES|sensitive=not privileged) in that order where C is the predicited classification and where all not privileged values are considered equivalent. Assumes that pred...
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def getMedian(alist): """get median of list""" tmp = list(alist) tmp.sort() alen = len(tmp) if (alen % 2) == 1: return tmp[alen // 2] else: return (tmp[alen // 2] + tmp[(alen // 2) - 1]) / 2
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def last(inlist): """ Return the last element from a list or tuple, otherwise return untouched. Examples -------- >>> last([1, 0]) 0 >>> last("/path/somewhere") '/path/somewhere' """ if isinstance(inlist, (list, tuple)): return inlist[-1] return inlist
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import argparse def parse(arguments): """ Parse cmdline's args into a struct. Arguments: - arguments: A string list of cmdline's args. """ parser = argparse.ArgumentParser() parser.add_argument( "-d", "--database", default=":memory:", help=''' You ...
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from typing import Any import pickle def get_papers_pickle(filename: str) -> dict[str, Any]: """retrive papers (dict format) from file in folder data/papers""" with open(f"data/papers/{filename}", 'rb') as papers_file: return pickle.load(papers_file)
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import string def count_words(filename): """ builds and return the dictionary for the given filename Parameters: filename (file) Returns: words_dict (dictionary) with all the words in the file and the amount of times each appears """ words_dict = {} # initializes the dictionary with o...
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import math def pressure_dict(calib, f, t): """SBE/STS(?) equation for converting pressure frequency to temperature. Inputs: calib is a dictionary of coefficients T1: coefficient T2: coefficient T3: coefficient T4: coefficient T5: not used C1: coefficient C2: coefficient C...
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def pandas_mpc_session_number(filenames): """Return the session number given a Series of file names (this is probably the fastest way to do it) """ return filenames.str.split(".").str[1].astype(int)
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def read_freq(filename): """Read the occurrences of each quality value of wine; Return a list of outliers""" n = 0 # Total number of data entries data = {} # Dictionary to hold occurrences of each quality outliers = [] # Any ratings that are outliers with open(filename, 'r') as f: next(f)...
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import requests from bs4 import BeautifulSoup def get_article(url): """ Gets article content from URL Input : URL of article Output : Content in BeautifulSoup format """ r = requests.get(url) html_soup = BeautifulSoup(r.content, 'lxml') return html_soup
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import numpy def partition_int(n, q): """ :param int n: int to be partionned :param int q: number of partions :return int-array p: such that: - sum(p) == n - len(p) == q - for all i, j: |p[i] - p[j]| <= 1 """ return n // q + (numpy.arange(q) < n % q)
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def translate_file_diff(data): """ Translates data where data["Type"]=="Diff" """ diff = '\\FloatBarrier \section{Configuration}' sections = data.get('Data') for title, config in sections.items(): title = title.replace('_', '\_') diff += ' \n \\subsection{$NAME}'.replace('$NAME', title) ...
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def dedupe_by_keys(data, dedupe_by): """Helper function for deduplicating a list of dicts by a set of keys. """ output = {} for d in data: output["".join([str(v) for k, v in d.items() if k in dedupe_by])] = d return list(output.values())
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import pandas def read_csv_from_excel(filename, sep="\t", encoding="iso-8859-1"): """ Read a file stored in CSV format from Excel. @param filename filename @param sep column separator @param encoding default encoding @return DataFra...
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def _convert_from_european_format(string): """ Conver the string given in the European format (commas as decimal points, full stops as the equivalent of commas), e.g. 1,200.5 would be written as 1.200,5 in the European format. :param str string: A representation of the value as a string :return...
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