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def calc_default_colors(p_index): """List of default colors, lines, and markers to use if user does not specify them in the input yaml file. Parameters ---------- p_index : integer Number of pairs in analysis class Returns ------- list List of dictionaries cont...
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def relationship_types() -> str: """ Returns a statement to get all the relationship types in the database. Returns ------- out: str Neo4j statement """ return 'CALL db.relationshipTypes()'
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def get_tuplets(gn): """Return the (part of) tuplets on top of a general note. The tuplets are expressed as a list of strings "start", "continue" and "stop. Args: gn (GeneralNote): the music21 general note (e.g. note, rest or chord). Returns: list: the list of tuplets. """ tup...
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import math def ToMercDegrees(y, num_tiles): """Calculate latitude of southern border of yth tile in degrees. LOD is log2(num_tiles) Args: y: (float) Position of tile in qt grid moving from south to north. Non-integer values give latitude within tile. num_tiles: (integer) Number of tiles in the ...
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def read_analogies(filename, word2id): """ Reads through the analogy question file. Returns: questions: a [n, 4] numpy array containing the analogy question's word ids. questions_skipped: questions skipped due to unknown words. """ questions = [] questions_skipped = 0 with open(...
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def map_category_id(category_map): """ Assign an ID to each category """ category_id = {} id_category = {} counter = 0 for category in category_map: category_id[category['name']] = counter id_category[counter] = category['name'] counter += 1 return category_id, id_categor...
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def compute_cell_extents_grid(bounding_rect=(0.03, 0.03, 0.97, 0.97), num_rows=2, num_cols=6, axis_pad=0.01): """ Produces array of num_rows*num_cols elements each containing the rectangular extents of the corresponding cell the grid, whose posit...
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def from_json(json_data, key): """ Helper method to extract values from JSON data. Return the value of `key` from `json_data`, or None if `json_data` does not contain `key`. """ if key in json_data: return json_data[key] return None
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def is_msvc(conanfile): """ Validate if current compiler in setttings is 'Visual Studio' or 'msvc' :param conanfile: ConanFile instance :return: True, if the host compiler is related to Visual Studio, otherwise, False. """ settings = conanfile.settings return settings.get_safe("compiler") in ["V...
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def lat(source): """Convert source bytes to a latitude (deg, min) pair. Latitude: 2543.7024 = DDMM.MMMM >>> lat(b'2543.7024') (25, 43.7024) """ if len(source) == 0: return None, None dd= int(source[:2]) mm= float(source[2:]) return int(dd), float(mm)
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def polygon_area(polygon): """Calculates the area of an arbitrary polygon.""" area = 0.0 n = len(polygon) if n > 0: polygon -= polygon[0] for j, p1 in enumerate(polygon): p2 = polygon[(j+1) % n] area += p1[0] * p2[1] - p2[0] * p1[1] return 0.5 * area
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def fmt_cycles(cycles): """ Format cycle information into a string. """ out_data = [] for entry in cycles: datav = entry[0] + '-' + str(entry[1]) out_data.append(datav) return ','.join(out_data)
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def qs_opt_eq(qs, opt, value): """ Returns True if the query string option is equal to value. """ for opt_value in qs.get(opt, []): if opt_value == value: return True
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def dash_to_underscore(keyword): """Change dash '-' to underscore '_' in string param keyword: string where the replacement has to be done return: string. Example one-two changes to one_two """ return keyword.replace('-', '_')
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def kind(event): """ Finds the type of an event :param event: the event :return: the type of the event """ return event.type
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def get_conversion_rate(df, total, conversions): """Return the conversion rate of column. Args: :param df: Pandas DataFrame. :param total: Column containing the total value. :param conversions: Column containing the conversions value. Returns: Conversion rate of conversions...
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import json def load_json(config_path): """Load json file content Args: config_path (str): Path to json file. Returns: dict: config dictionary. """ with open(config_path, "r") as fhandle: default_config = json.load(fhandle) return default_config
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import typing import ast def genConstructAstObj(varName: str, className: str) -> typing.Tuple[ast.Name, ast.Name, ast.Assign]: """ Returns a tuple of 3 elements first is `className` AST node second is `varName` AST node third is `varName = className()`""" clsNameAST = ast.Name(id=className, ctx=ast.Load()) ret...
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import re def sub_args(args, args_regex, sub): """Substitute all instances of args_regex in args. Works if args is a str, list, tuple, or dict. All values replaced with re.sub. If args is dict, only the values, not the keys, are replaced. :args: str, list, tuple, or dict :args_regex: r'' e...
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def create_instance_template(properties, name_prefix): """ Creates an instance template resource. """ name = name_prefix + '-it' instance_template = { 'type': 'instance_template.py', 'name': name, 'properties': properties } self_link = '$(ref.{}.selfLink)'.format(name) ...
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def get_members(connection, id, include_access=False, offset=0, limit=-1, error_msg=None): """Get member information for a specific user group. Args: connection: MicroStrategy REST API connection object id (string): ID of user group containing your required privileges include_access (bo...
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def accuracy(list1, list2): """ Computes the element-wise similarity between lists list1 and list2. INPUTS: - list1 [list]: list of arbitrary values - list2 [list]: list of arbitrary values RETURNS: - n_correct [int]: total num. of elementwise matches - n_total [int]: total num. elemen...
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def bundle_tweets(tweets): """ Bundles all the text in the tweets into a single string """ result = '' for tweet in tweets: result += tweet['text'] return result
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def extract_hashtags(text, tags_to_append=[]): """Extracts distinct sorted hashtag collection from a string, complemented with tags_to_append items.""" return sorted(set([item.strip("#.,-\"\'&*^!") for item in text.split() if (item.startswith("#") and len(item) < 256)] + tags_to_append))
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def score_programs(adata_here,program_name='bulk.guide.program', pref=None,copy=False): """Get program score for each cell, by averaging program genes """ if copy: adata_here = adata_here.copy() if pref is None: pref=program_name programs=list(set(adata_here.var...
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def get_anntypes(batch): """Get anntypes from annotation """ return [ann["anntype"] for ann in batch.annotation]
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def filter_subjects_by_coverage(args): """Check whether the subject passes the coverage filter.""" subject, cov, SD_MEAN_CUTOFF, STRIM_5, STRIM_3 = args # Trim the ends if cov.shape[0] >= STRIM_5 + STRIM_3 + 10: cov = cov[STRIM_5: -STRIM_3] passes_filter = cov.mean() > 0 and cov.std() / c...
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def definite_crop(img, bbox): """crop an image. Args: img: `ndarray`, input image bbox: list, with crop co-ordinates and width and height e.g.: [x, y, width, height] Returns: returns cropped image """ img = img[:, bbox[0]:bbox[2], bbox[1]:bbox[3]] return img
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def classify_by_composition(structures): """ Classify the different IStructures by composition. :param structures: List of structures :return: Dictionary of composition strings with a List of the corresponding IStructures. """ comp_dic = {} for structure in structures: if comp_di...
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def get_median(numbers: list) -> int: """ Get the median from a list of numbers. :param numbers: The list containing the numbers. :return: The median. """ numbers.sort() return numbers[len(numbers) // 2]
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def _add_thumb(s): """ Modifies a string (filename, URL) containing an image filename, to insert '.thumb.jpg' at the end. """ return s + ".thumb.jpg"
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import cmath # Can return complex numbers from square roots def quad_roots(a=1.0, b=2.0, c=0.0): """Returns the roots of a quadratic equation: ax^2 + bx + c = 0. INPUTS ======= a: float, optional, default value is 1 Coefficient of quadratic term b: float, optional, default value is 2 ...
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def parse_bitcoin_conf(fd): """Returns dict from bitcoin.conf-like configuration file from open fd""" conf = {} for line in fd: line = line.strip() if not line.startswith('#') and '=' in line: key, value = line.split('=', 1) conf[key] = value return conf
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def extract_ids(objects_or_ids): """Return a list of ids given either objects with ids or a list of ids.""" try: ids = [obj.id for obj in objects_or_ids] except: ids = objects_or_ids return ids
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def is_set(cards): """ Return True if all cards all unique, False otherwise. """ return len(set(cards)) == len(cards)
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def forecast_error(y, y_predicted): """Calculate the forecast error in a regression model. Parameters ---------- y : array-like of shape = number_of_outputs Represent the target values. y_predicted : array-like of shape = number_of_outputs Target values predicted by the model. ...
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import time def retry(func, exc=Exception, tries=3, delay=1): """ Call ``func()`` up to ``tries`` times, exiting only if the function returns without an exception. If the function raises an exception on the final try that exception is raised. If given, ``exc`` can be either an `Exception` or a t...
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from typing import Dict from typing import Any def source_startswith(cell: Dict[str, Any], key: str) -> bool: """Return True if cell source start with the key.""" source = cell.get("source", []) return len(source) > 0 and source[0].startswith(key)
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import ast from typing import List from typing import Tuple def get_scr119(node: ast.ClassDef) -> List[Tuple[int, int, str]]: """ Get a list of all classes that should be dataclasses" ClassDef( name='Person', bases=[], keywords=[], body=[ ...
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import hashlib def md5(string): """Computes and returns an md5 digest of the supplied string Args: string: string to digest Returns: digest value """ return hashlib.md5(string.encode('UTF-8')).hexdigest()
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def shuffle_data(data_df): """ Performs data shuffling. """ return data_df.sample(frac=1).reset_index(drop=True)
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def remove_newlines(text): # type: (str) -> str """ Remove newlines. The `name` field serves as a displayable title. We remove newlines and leading and trailing whitespace. We also collapse consecutive spaces to single spaces. :param text: Text for newline removal :return: Single line of t...
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def merge_list_dictionaries(*dictionaries): """Merges dictionary list values from given dictionaries""" for addendum in dictionaries[1:]: for key in addendum: if key in dictionaries[0]: dictionaries[0][key] += addendum[key] else: dictionaries[0][ke...
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import torch def rankdata_pt(b, tie_method='ordinal', dim=0): """ pytorch equivalent of scipy.stats.rankdata, GPU compatible. :param b: torch.Tensor The 1-D or 2-D tensor of values to be ranked. The tensor is first flattened if tie_method is not 'ordinal'. :param tie_method: s...
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import hashlib def calculate_hashes_from_pre_hashes(prehash_string_list, hashalg="sha256"): """Hash all strings in the list with the given algorithm. Returned in the appropriate NI format. """ hashValueList = [] for pre_hash_string in prehash_string_list: if hashalg == 'sha256': ha...
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def truncate(source, max_len: int, el: str = "...", align: str = "<") -> str: """Return a truncated string. :param source: The string to truncate. :param max_len: The total length of the string to be returned. :param el: The ellipsis characters to append to the end of the string if it exceeds max_len. ...
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def translate_tokens(tokens, d): """ Produce set of translated tokens, returns number of tokens that were translated. All possible translations of a token are added. """ n_translated = 0 translated = set() for w in tokens: if w not in d: continue translated.update(d[w]) ...
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from math import fabs from datetime import datetime def pretty_date(d): """ Format the time delta between d and now human-friendly. E.g. 'in 2 hours', '20 seconds ago' :param d: :return: """ now = datetime.now() diff = now - d total_seconds = diff.seconds + diff.days * 24 * 60 * 60 ...
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def friends(graph, user): """Returns a set of the friends of the given user, in the given graph""" return set(graph.neighbors(user))
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import hashlib def get_hash(data): """ Get a checksum for the input data """ md5 = hashlib.md5() md5.update(data) return md5.hexdigest()
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from typing import List def accuracy_score(y_true: List, y_pred: List) -> float: """ Compute accuracy score Parameters ---------- y_true : list True labels y_pred : list Predicted labels Returns ------- float Accuracy score Examples -------- >...
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def to_list(*args: dict) -> dict: """Convert a list of dicts to a dict of lists.""" if len(args) == 0: raise ValueError("Input can't be empty.") keys = [set(d.keys()) for d in args] ref = keys[0] for test in keys[1:]: if ref != test: raise ValueError("All input dictionari...
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import re def _createNameReplacement(search, replace): """ Return a tuple containing a regex and replacement string. Regexes replace prefixes, suffixes, or middles, as long as the search is separated with '_' from adjacent characters. """ regex = re.compile('(?<![^_]){0}(?=(_|$))'.format(searc...
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def message_warning(msg, *a, **kwargs): """Ignore everything except the message.""" return str(msg) + '\n'
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def enl_seq(seq_of_seq, otherentries): """ Returns a sequence of sequences, with each element consisting of an element from otherentries appended to a sequence from seq_of_seq. Note: this is used for building chords. """ ret = []; for i in seq_of_seq: for j in otherentries: ...
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def _get_statusline(params): """Generate a mock statusline like py.test would output.""" info_elements = [] if 'failed' in params: info_elements.append('{failed} failed') if 'passed' in params: info_elements.append('{passed} passed') if 'error' in params: info_elements.append...
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def cshock_dissipation_time(shock_vel,initial_dens): """A simple function used to calculate the dissipation time of a C-type shock. Use to obtain a useful timescale for your C-shock model runs. Velocity of ions and neutrals equalizes at dissipation time and full cooling takes a few dissipation times. A...
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def convert_to_aws_ecr_compatible_format(string): """Make string compatible with AWS ECR repository naming Arguments: string {string} -- Desired ECR repository name Returns: string -- Valid ECR repository name """ return string.replace(" ", "-").lower()
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def rotate_left(a): """ Returns the result of rotating the matrix a 90 degrees left. """ return list(zip(*[reversed(r) for r in a]))
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def cols_change_list() -> list: """ Returns the list of columns that need to be processed.""" cols_s1_change = ['12th_grade', '11th_grade', '10th_grade', 'Indicador de Sucesso', 'pct_stud_in_need_12th_grade', 'pct_profs_on_the_board', 'average_moms', 'average_dads', '...
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def _IsSpecified(args, name): """Returns true if an arg is defined and specified, false otherwise.""" return hasattr(args, name) and args.IsSpecified(name)
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import re def format_imports(text): """ Takes a string of text and formats it based on rule 3 (see docs). """ # rule to find consective imports regex4 = r"^import[\s\w]+?(?=from|^\s*$)" # this subsitution will happen with a function def subst4(match_obj): pattern = r"import (\w+)"...
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from typing import List def double(items: List[str]) -> List[str]: """ Returns a new list that is the input list, repeated twice. """ return items + items
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def cov(df, groupby_columns:list, value_column:str): """ Calculates the coefficient of variation for data grouped by specific columns Args: df: pandas dataframe groupby_columns: list of column names to group the data by value_column: string name of column containing the values for wh...
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import mimetypes def is_pdf(file_path): """ Checks whether the file is a pdf. """ type = mimetypes.guess_type(file_path)[0] return type and type == 'application/pdf'
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def _organize_parameter(parameter): """ Convert operation parameter message to its dict format. Args: parameter (OperationParameter): Operation parameter message. Returns: dict, operation parameter. """ parameter_result = dict() parameter_keys = [ 'mapStr', ...
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def parse_config_option(line, is_global, dt_keys, global_key_types): """Parses a single line from the configuration file. Args: line: String containing the key=value line from the file. is_global: Boolean indicating if we should parse global or DT entry specific option. dt_k...
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def time2str(t): """Takes a value of time as a number of seconds and returns it in the form "hh:mm:ss". Parameters ---------- t : int Time in seconds. Returns ------- s : str Time in the form "hh:mm:ss". Hours omitted if there are none. """ hours = t //...
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def _eos(veos): """ EOS = DOY for end of seasonn """ return veos.time.dt.dayofyear
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import string def expand_vars(template, **variables): """ Expands a configuration template which uses $-style substitutions. """ template = string.Template(template) return template.safe_substitute(**variables)
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def get_resource_and_action(action, pluralized=None): """Extract resource and action (write, read) from api operation.""" data = action.split(':', 1)[0].split('_', 1) resource = pluralized or ("%ss" % data[-1]) return (resource, data[0] != 'get')
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def get_p7_seq(x): """ Return the sequence of P7: TruSeq, Nextera, smallRNA """ p7 = { 'truseq': ['AGATCGGAAGAGCACACGTCTGAACTCCAGTCAC', 6, 'ATCTCGTATGCCGTCTTCTGCTTG'], 'nextera': ['CTGTCTCTTATACACATCTCCGAGCCCACGAGAC', 8, 'ATCTCGTATGCCGTCTTCTGCTTG'], 'smallrna': [], } retu...
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import logging def reconstruct_position(pos, deleted_pos): """Computes the prior position of one column in an MSA. pos: index of current position in an MSA deleted_positions: list with column indexes that were removed It returns the position of a column in an MSA that has undergone deletion of se...
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def _get_output_file_idx(build_args): """ Get the index of output file from build args :param build_args: arguments of gcc :return: index in the build args where output file is. """ i = 0 while i < len(build_args): if build_args[i] == "-o": return i + 1 i += 1...
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def frequencies(colorings): """ Procedure for computing the frequency of each colour in a given coloring. :param colorings: The given coloring. :return: An array of colour frequencies. """ maxvalue = -1 frequency = [0] * (len(colorings)) for i in colorings: maxvalue = max(maxvalu...
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def get_duration(s): """ Calculate trip duration """ pickup = s['tpep_pickup_datetime'] dropoff = s['tpep_dropoff_datetime'] if not all((pickup, dropoff)): return None duration_seconds = (dropoff - pickup).seconds return duration_seconds
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def getVarTimeRange(dataArray, rangeMin, rangeMax, timeStrt, timeEnd): """ This function extracts the radar variable for a desired range and time interval. Arguments --------- dataArray : xarray DataArray of the variable rangeMin : minimum range in m ...
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import configparser def get_aws_config(path="~/.aws/credentials"): """Get the AWS configuration""" config = configparser.ConfigParser() config.read(path) return config
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import torch def build_mse_loss(loss_coef, correspondence_keys=None): """ Build the mean squared error loss function. Args: loss_coef (dict): dictionary containing the weight coefficients for each property being predicted. Example: `loss_coef = {'energy': rho, 'force': 1}`...
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def number_to_string(n, alphabet): """ Given an non-negative integer ``n``, convert it to a string composed of the given ``alphabet`` mapping, where the position of each element in ``alphabet`` is its radix value. Examples:: >>> number_to_string(12345678, '01') '1011110001100001010...
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import math def solar_declination(doy): """ Calculate the solar declination for a given day of the year (Allen et al. 1998). Parameters ---------- doy : int Julian day of the year (-). Returns ------- float Solar declination (rad). """ return 0.409 * math...
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def GetGTestOutput(args): """Extracts gtest_output from the args. Returns none if not present.""" for arg in args: if '--gtest_output=' in arg: return arg.split('=')[1] return None
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def get_table_number_of_rows(cursor, table_name): """ Return the number of rows of a table """ sql_command = f"SELECT COUNT(*) FROM '{table_name}';" v = cursor.execute(sql_command).fetchall() assert len(v) == 1 assert len(v[0]) == 1 return v[0][0]
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def to_numpy(var): """Tensor --> numpy Parameters: var (tensor): tensor Returns: var (ndarray): ndarray """ return var.data.numpy()
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def area_triangle(b, h): """ Returns the area of a triangle given its base and its height """ area = b * h / 2 return area
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def int_bytes_to_programmatic_units(byte_value): """Convert a byte count into OVF-style bytes + multiplier. Inverse operation of :func:`programmatic_bytes_to_int` Args: byte_value (int): Number of bytes Returns: tuple: ``(base_value, programmatic_units)`` Examples: :: ...
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def polyfill_integers(generator, low, high=None, size=None, dtype="int32", endpoint=False): """Sample integers from a generator in different numpy versions. Parameters ---------- generator : numpy.random.Generator or numpy.random.RandomState The generator to sample from. I...
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def get_appropriated_part_size(file_size): """ Gets the appropriated part size when uploading or downloading files, given an initial file size. """ if file_size <= 104857600: # 100MB return 128 if file_size <= 786432000: # 750MB return 256 if file_size <= 2097152000: # 200...
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import click def success_style(success_string: str) -> str: """ Styling function to emphasise bullet names. :param success_string: The string to style :type success_string: str :return: Styled success string :rtype: str """ return click.style(success_string, fg="green")
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from typing import Union from typing import List from typing import Tuple import torch def get_qubit_indices( index: Union[int, List[int], Tuple[int, ...], torch.Tensor], state_tensor: torch.Tensor, num_qubits: int ): """Convert qubit indices 0, ..., n-1 to correct PyTorch tensor indices. ...
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import six def pad(data, bs=16): """PKCS#7 Padding. Takes a bytestring data and an optional blocksize 'bs'""" length = bs - (len(data) % bs) data += six.int2byte(length) * length return data
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from typing import Optional def validate_discharge_efficiency(discharge_efficiency: Optional[float]) -> Optional[float]: """ Validates the discharge efficiency of an object. Discharge efficiency is always optional. :param discharge_efficiency: The discharge efficiency of the object. :return: The ...
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def read_network_from_file(file_name, delimeter=','): """ Read from a file and build a network file_name: file to read from delimeter: delimeter that separates fields """ cities = list() distances = dict() f = open(file_name, 'r') lines = f.readlines() for line in lines: fie...
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from pathlib import Path def get_last_file(base_dir, pattern): """Return the last file in a folder that match the given pattern. Parameters ---------- base_dir: str or Path Base directory to search for a matching file. pattern: str Pattern used in glob to find files. Returns ...
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from typing import Callable def runge_kutta_method_o4(f: Callable[[float, float], float], y0: float, x: list[float], h: float, precission: int = 5) -> float: """Finds the value of y(x) for some ODE using Runge Kutta method (order 4). Params ------ f: Callable[[float, float], float] function r...
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def get_file_names_on_anaconda_channel(username, anaconda_cli, channel='main'): """Get the names of **all** the files on anaconda.org/username Parameters ---------- username : str anaconda_cli : return value from binstar_client.utils.get_binstar() channel ...
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def index_of(array, value, from_index=0): """Gets the index at which the first occurrence of value is found. Args: array (list): List to search. value (mixed): Value to search for. from_index (int, optional): Index to search from. Returns: int: Index of found item or ``-1``...
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def knot_insertion_alpha(u, knotvector, span, idx, leg): """ Computes :math:`\\alpha` coefficient for knot insertion algorithm. :param u: knot :type u: float :param knotvector: knot vector :type knotvector: tuple :param span: knot span :type span: int :param idx: index value (degree-dep...
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def get_forecast_metadata_variables(ds): """ Returns a list of variables that represent forecast reference time metadata. :param netCDF4.Dataset ds: An open netCDF4 Dataset. :rtype: list """ forecast_metadata_standard_names = { "forecast_period", "forecast_reference_time", ...
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def max_factor(num): """Find the maximum prime factor.""" factor = 2 while factor * factor <= num: while num % factor == 0: num /= factor factor += 1 if (num > 1): return num return factor
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