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import string def range_converter(xl_col_length=3): """ Construct conversions between Excel array ranges and Pythonic indices (up to column ZZ in Excel) :param xl_col_length: Length of the longest desired Excel column (e.g., 2 for "A" to "ZZ", 3 for "A" to "ZZZ") """ alpha_initial = string...
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def parse_filename(fname, return_ext=True, verbose=False): """ Parses `fname` (in BIDS-inspired format) and returns dictionary Parameters ---------- fname : str os os.PathLike Filename to parse return_ext : bool, optional Whether to return extension of `fname` in addition to key...
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from datetime import datetime def fromisoformat(isoformat): """ Return a datetime from a string in ISO 8601 date time format >>> fromisoformat("2019-12-31 23:59:59") datetime.datetime(2019, 12, 31, 23, 59, 59) """ try: return datetime.fromisoformat(isoformat) # Python >= 3.7 exc...
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import re def is_indvar(expr): """ An individual variable must be a single lowercase character other than 'e', 't', 'n', 's', followed by zero or more digits. @param expr: C{str} @return: C{boolean} True if expr is of the correct form """ assert isinstance(expr, str), "%s is not a st...
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def add_decorators(p): """Adds ping and normalize decorators to pool.""" @p.ping def ping(con): return True @p.normalize_connection def normalize(con): pass
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def readtxt(ifile): """ Simple function to read text file and remove clean ends of spaces and \n""" with open(ifile, 'r') as f: content = f.readlines() # remove whitespace characters like `\n` at the end of each line content = [x.strip() for x in content] return content
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def get_default_values(json_data): """ Method to make default values dict for properties in json schema. Set default value as None if property havent 'default' key in schema :param json_data: json schema with properties as dict with 'default' keys or without it :return: dict wit...
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import torch def compute_rank(predictions, targets): """Compute the rank (between 1 and n) of of the true target in ordered predictions Example: >>> import torch >>> compute_rank(torch.tensor([[.1, .7, 0., 0., .2, 0., 0.], ... [.1, .7, 0., 0., .2, 0., 0.], ...
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import torch def euclidean_dist(x, y): """ Distance calculation between two sets of vectors x (n x d) and y (m x d) """ n = x.size(0) m = y.size(0) d = x.size(1) assert d == y.size(1) x = x.unsqueeze(1).expand(n, m, d) y = y.unsqueeze(0).expand(n, m, d) return torch.pow(x...
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def merge(a, b): """ merge two already sorted lists """ s = [] index_a = 0; index_b = 0; while index_a < len(a) and index_b < len(b): if a[index_a] < b[index_b]: s.append(a[index_a]) index_a += 1 else: s.append(b[index_b]) index_b += 1...
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from typing import Iterable def unique_list_conserving_order(iterable: Iterable) -> list: """List of unique elements in the original order >>> unique_list_conserving_order([3, 2, 3, 5, 1, 2, 6, 3, 5]) [3, 2, 5, 1, 6] """ seen = set() return [x for x in iterable if len(seen) < len(seen.add(x) o...
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def deepmap(func, seq): """ Apply function inside nested lists >>> inc = lambda x: x + 1 >>> deepmap(inc, [[1, 2], [3, 4]]) [[2, 3], [4, 5]] """ if isinstance(seq, list): return [deepmap(func, item) for item in seq] else: return func(seq)
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def two_gaussian_potential_bc(vnew, f2, coords): """ Apply Boundary Condition to the potential, force, and coordinates. Parameters: ----------- vnew : float (or array of floats) Potential Energy f2 : float (or array of floats) Force coords ...
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def escape(string): """Escape strings to be SQL safe""" if '"' in string: raise Exception("Can't escape identifier {} because it contains a backtick" .format(string)) return '"{}"'.format(string)
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def is_valid_channel_name(name): """ Return True if the given name is a valid channel name. """ # Check channel name length if len(name) == 0 or len(name) > 50: return False # Check if channel name is valid valid = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789`~!@#...
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def env_wise_score(estimator, X, y, scorer, env, env_column): """ Filter data to evaluate only a specific environment using a certain scorer. """ env_mask = X[env_column] == env evaluation = scorer(estimator, X[env_mask], y[env_mask]) return evaluation
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def execute(conn, query, *args): """Execute query in connection""" cursor = conn.cursor() cursor.execute(query, *args) return cursor.fetchall()
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def infinity_norm(x): """ Compute infinity norm of x. :param x: rare matrix represented as dictionary of dictionaries of non zero values :return max_value: maximum value of x """ max_value = None for line in x.keys(): for column in x[line].keys(): if not max_value or max_...
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def error_format(search): """ :param search: inputted word :return: bool. Checking every element in the inputted word is in alphabet. """ for letter in search: if letter.isalpha() is False: return True
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def double_char(s): """Return word with double characters.""" word = '' for i in s: word += i * 2 return word
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from typing import OrderedDict def group_unique_values(items): """group items (pairs) into dict of lists. Values in each group stay in the original order and must be unique Args: items: iterable of key-value pairs Returns: dict of key -> lists (of unique values) Raises: ...
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def wordCounter(word:str)->int: """ 글자수 세는 프로그램 input: str type의 word output: int type의 글자 수 """ cnt = 0 a = word.split() cnt = len(a) return cnt
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def grad(u, *args): """ Compute gradient for the cost function f(u) = ||u-B^-1Av||_B as del(f(u)) = Bu - Av """ A,B,v = args gradient = B@u - A@v return gradient
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def getKeyIdx(key, key2Idx): """Returns from the word2Idx table the word index for a given token""" if key in key2Idx: return key2Idx[key] return key2Idx["UNKNOWN_TOKEN"]
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import glob def get_file_list(search_string): """ Generates a list of files matching the given glob string Parameters: search_string: string glob-formatted search pattern Returns: file_list: list list of files matching pattern Outputs: nothing """ fi...
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def clean_bibitem_string(string): """Removes surrounding whitespace, surrounding \\emph brackets etc.""" out = string out = out.strip() if out[:6] == "\\emph{" and out[-1] == "}": out = out[6:-1] if out[:8] == "\\textsc{" and out[-1] == "}": out = out[8:-1] return out
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def get_status_embeded_detail(status_embedded): """ Retrieve details of status related fields. :param status_embedded: status details from response :return: status detail :rtype: dict """ return { 'State': status_embedded.get('state', ''), 'StateName': status_embedded.get('s...
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def _get_skip_class_names(skip_class_map): """Returns list of class names to skip Returned list only contains names of classes where all methods are skipped. If skip_class_map is None, returns None :param skip_class_map: Result of passing parsed arg for --skip command line argument to parse_te...
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import logging def _test_usability(imported_module, entity_type, entity_ids_arr): """ This returns None if a module of a script is usable, otherwise an error message which explains why this script cannot be used in this context: Wrong platform, unavailable resources etc... """ # PROBLEM: When an ...
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def pitch_to_midi_pitch(step, alter, octave): """Convert MusicXML pitch representation to MIDI pitch number.""" pitch_class = 0 if step == 'C': pitch_class = 0 elif step == 'D': pitch_class = 2 elif step == 'E': pitch_class = 4 elif step == 'F': pitch_class = 5 elif step == 'G': pitch_...
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def get_density(tensor): """ Return density of the tensor """ shape = tensor.shape dense_vals = 1.0 for i in shape: dense_vals *= i return dense_vals/tensor.nnz
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def lint(ctx): """Run the linter.""" return ctx.run('flake8 calleee tests', pty=True).return_code
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import re def _match_label(pattern, issue): """ :param pattern: :param issue: :return: [True] if issue contains the pattern >>> _match_label('aaa', {'labels': [{'name': 'aaa'}]}) True >>> _match_label('aaa', {'labels': [{'name': 'bbb'}]}) False """ ...
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def sizeof_fmt(num, suffix='B'): """Returns human-readable file size Supports: * all currently known binary prefixes * negative and positive numbers * numbers larger than 1000 Yobibytes * arbitrary units (maybe you like to count in Gibibits!) Example: -------- >>> sizeof_fmt(16...
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def min_value(uncert_val): """Minimum confidence interval for a ufloat quantity.""" return uncert_val.nominal_value - uncert_val.std_dev
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def is_valid_port(port): """Checks if a given value might be an existing port. Must be between 1 and 65535, both included. :param port: Port candidate :type port: int, str :returns: True if is valid, False if not :rtype: bool """ try: int_port = int(port) except ...
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def squash_spaces(inp): """ Convert multiple ' ' chars to a single space. :param inp: (str) :return: same string with only one space where multiple spaces were. """ return ' '.join(inp.split())
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def __carta(soup): """ Gets the most read news from the Carta Capital page :param soup: the BeautifulSoup object :return: a list with the most read news from the Carta Capital Page """ news = [] container = soup.find('dd', id='fieldset-maisacessadas-semana') most_read = container.find_a...
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import json def get_raw_metrics_from_file(filename): """ Parse the given file as JSON and return a dictionary of the given metric names to their values. :param filename: JSON file name. :return: Dictionary of {beanName.metricName->Value}. """ values = {} with open(filename) as mf: ...
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def replace_negative(l, default_value=0): """ Replaces all negative values with default_value :param l: Original list :param default_value: The value to replace negatives values with. Default is 0. :return: Number of values replaced """ n_replaced = 0 for i in range(len(l)): if l[i] < 0: l[i...
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from typing import List import json def load_train_data(train_data_files: str) -> List: """Load jsonl train data as a list, ready to be ingested by spacy model. Args: train_data_local_path (str): Path of files to load. Returns: List: Tuple of texts and dict of entities to be used for tra...
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def get_note_ancestor(e): """ Return the first ancestor of `e` with tag "note", or None if there is no such ancestor. """ for a in e.iterancestors(): if a.tag == 'note': return a return None
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from pathlib import Path def read_final(path: Path) -> str: """ Repeatedly read the file until it is non-empty. Some notebook editors empty the source file before updating it. """ contents = '' while len(contents) == 0: with path.open() as file: contents = file.read() ...
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import ast import uuid def get_imports(path: str) -> dict: """ This function parse the module at specified path to look for import statements and return a dictionary representing the import statement. :param path: path to the Python module :return: information related to the import statements ...
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def bfint(self, fname1="", ext1="", fname2="", ext2="", kpos="", clab="", kshs="", tolout="", tolhgt="", **kwargs): """Activates the body force interpolation operation. APDL Command: BFINT Parameters ---------- fname1 File name and directory path (248 characters maximum, ...
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import math def effective_priority(value, levels): """ Method to determine effective priority given a distinct number of levels supported. Returns the lowest priority value that is of equivalent priority to the value passed in. """ if value <= 5-math.ceil(levels/2.0): return 0 if value >= ...
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def extend_diff_outliers(diff_indices): """ Extend difference-based outlier indices `diff_indices` by pairing Parameters ---------- diff_indices : array Array of indices of differences that have been detected as outliers. A difference index of ``i`` refers to the difference between vol...
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def _build_utilization_context(last_week, last_month, this_fy): """Build shared context components of utilization reports""" return { 'last_week_start_date': last_week['start_date'], 'last_week_end_date': last_week['end_date'], 'last_week_totals': last_week['totals'], ...
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import math def get_exp_between_levels(level1: int, level2: int): """ Gets the amoount of exp between two levels :param level1: The low level :param level2: The high level """ exp1 = 0 exp2 = 0 for i in range(1, level2): if i < level1: exp1 += math.floor(i + 300 ...
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def get_rst_bullet_list_item(text, level=1): """ Return a list item in the RST format """ item = '* ' + str(text) + '\n' return item
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def talos_colour(role): """Check if a role is a Talos Colour""" return role.name.startswith("<TALOS COLOR>")
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def norm_package_version(version): """Normalize a version by removing extra spaces and parentheses.""" if version: version = ','.join(v.strip() for v in version.split(',')).strip() if version.startswith('(') and version.endswith(')'): version = version[1:-1] version = ''.jo...
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def filter_api_changed(record): """Filter out LogRecords for requests that poll for changes.""" return not record.msg.endswith('api/changed/ HTTP/1.1" 200 -')
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def reverseString(string: str): """Reverses a string.""" return string[::-1]
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def extract_mac_address(scanlist): """ Extracts MAC address from the scan output. """ if "Address:" in "".join(scanlist): mac_address_index = scanlist.index("Address:") + 1 mac_address = scanlist[mac_address_index] return mac_address.strip() else: return "Unknown"
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import string import random def get_random_str(size=10, chars=string.ascii_lowercase + string.ascii_uppercase + string.digits): """ return a random string size: size of an output string chars: characters to use """ return ''.join(random.choice(chars) for x in range(size))
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def calculate_bearing_difference(bearing1, bearing2): """ Calculate smallest difference from bearing 1 -> bearing2. :param bearing1: start bearing in degrees (0-360) :param bearing2: end bearing in degrees (0-360) :return: angle between -180 and +180 degrees. """ # always return difference b...
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def strip_space(string): """Remove spaces from string :argument string: target string :type string: str :returns str """ return string.replace(' ', '')
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def size(tensors, axis=0): """Measures the size of tensors along an axis. Args: tensors: Iterator of tensors. axis: Optional, axis along which to measure (default 0). Returns: Size of tensors along `axis`. Raises: ValueError: If shape of tensors do not match along `axi...
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from typing import List def get_episode_indices(episodes_string: str) -> List[int]: """ Parse a string such as '2' or '1-5' into a list of integers such as [2] or [1, 2, 3, 4, 5]. """ episode_indices = [] if episodes_string is not None and episodes_string is not '': ll = [int(item) for it...
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def insertion_sort(array): """Insertion sort.""" length = len(array) for i in range(1, length): val = array[i] while i > 0 and array[i - 1] > val: array[i] = array[i - 1] i -= 1 array[i] = val return array
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import re def find_identity_in_list(elements, identities): """Matches a list of identities to a list of elements. Args: elements: iterable of strings, arbitrary strings to match on. identities: iterable of (string, string), with first string being a regular expression, the second string b...
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def getel(s): """Returns the unique element in a singleton set (or list).""" assert len(s) == 1 return list(s)[0]
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import json def load_file_to_json(filename): """ Loads a file into a JSON object. Apart from loading the file into JSON, this function also removes any comments (denoted with #) and imports any other JSON objects (denoted with __LOAD__filename). :param filename: the filename of the file to be loaded. :returns:...
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def construct_supervisor_command_line(supervisor_ip, cols, rows, area_size, traffic, road_cells, nodes, apn): """Creates the command to start up the supervisor. :type supervisor_ip: str :param supervisor_ip: the private IP address of supervisor :type cols: int :param cols: city cols :type rows:...
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def get_geom(es_place): """Return the correct geometry from the elastic response A correct geometry means both lat and lon coordinates are required >>> get_geom({}) is None True >>> get_geom({'coord':{"lon": None, "lat": 48.858260156496016}}) is None True >>> get_geom({'coord':{"lon": 2....
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def generate_projwfc_node(generate_calc_job_node, fixture_localhost, tmpdir): """Fixture to constructure a ``projwfc.x`` calcjob node for a specified test.""" def _generate_projwfc_node(test_name): """Generate a mock ``ProjwfcCalculation`` node for testing the parsing. :param test_name: The na...
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def Cintegrate(phi, HC, dt): """ Explicit Euler integration to simulate a classical random walker. Parameters: phi (array): prob. distr. at current time HC (sparse matrix): classical Hamiltonian dt (float): time step Returns: sparse matrix: prob....
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def drop_labels(events, min_pct=.05): """ Snippet 3.8 page 54 This function recursively eliminates rare observations. :param events: (data frame) events :param min_pct: (float) a fraction used to decide if the observation occurs less than that fraction :return: (data frame) of events "...
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def stop_word_removal(text_all, cached_stop_words): """ Returns text with removed stop words Keyword arguments: text_all -- list of all texts (list of str) cached_stop_words -- list of all stopwords (list of str) """ new_text_all = [] for text in text_all: text1 = ' '.join([word ...
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import math def rms_error(seq1, seq2): """Returns the RMS error between two lists of values""" assert len(seq1) == len(seq2) return math.sqrt(sum((x - y) ** 2 for x, y in zip(seq1, seq2)) / len(seq1))
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def format_data(tax_order, relAbs): """ Formats data for plotting Arguments: tax_order (list) -- names of tax groups in order of decreasing median median relative abundance relAbs (dict) -- maps tax group index (determined by which column it is in the csv file) to list of the group name...
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import uuid def uuid_is_valid(test_uuid): """ Determine if a UUID is valid """ try: uuid_object = uuid.UUID(test_uuid) except ValueError: return False return True
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def _properties(source, size, require_staging, remote): """Args: source (str): source of the data size (int): number of rows of the dataset require_staging (bool): whether the file requires staging remote (str): remote path Returns: dict: set of importer properties...
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def utc_to_utcf(utc): """ Converts a UTC datetime into UTC string format %Y-%m-%dT%H:%M:%SZ. :param utc: python UTC datetime :return: a string in UTC string format %Y-%m-%dT%H:%M:%SZ """ return "%04d-%02d-%02dT%02d:%02d:%02dZ" % (utc.year, utc.month, utc.day, utc.hour, utc.minute, utc.second)
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def constant(value: float = 0): """ A constant float. Parameters ---------- value : float The float value. """ return value
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import string import random def generate_key(length=50): """ Generate a random string Args: length: Number of characters in returned string (default = 50) Returns: Randomized secret key string """ options = string.digits + string.ascii_letters + string.punctuation key = ''.j...
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def f(n): """ f(0) = 0 f(1) = 1 f(2) = 1 f(3) = 2 f(4) = 3 f(5) = 5 f(n) = f(n-1) + f(n-2) """ if n < 2: return n prev_number = 1 current_number = 1 # f(2) result = 1 for idx in range(3, n+1): result = current_number + prev_number pre...
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def blocks(text): """Split the text into blocks deliminated by a blank line.""" return text.split("\n\n")
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def bisect(list_, x, begin=0, end=None): """ Return the insertion point for x to maintain sorted order, in logarithmic time. list_ -- the sorted list of items; we assume ascending order by default x -- the item we search for begin -- the first index of the range we want to search in en...
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def get_file_contents(file_path, method="r"): """ Get file contents. Arguments: file_path : str method : str Returns: str """ with open(file_path, method) as f: contents = f.read() f.close() return contents
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def convert_to_list(argument): """Convert a comma separated list into a list of python values""" if argument is None: return [] else: return [i.strip() for i in argument.split(",")]
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def get_endpoint(name, array): """Return Endpoint or None""" try: return array.get_volume(name, pending=True, protocol_endpoint=True) except Exception: return None
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import hashlib def isrightpwd(pwd, encrypted_pwd): """ Make Sure The Password(pwd) Is The Right One. Judge By The SHA512 Encrypted Password(encrypted_pwd). """ if hashlib.sha512(pwd.encode('utf-8')).hexdigest() == encrypted_pwd: return True else: return False
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def get_pokemon_type(pokemon_types): """Asks the user for a type of pokemon and displays the names of all pokemon with that type. Implicitly converts the type entered by the user to lower case. If the user enters an invalid type, warns the user and repeats until they enter a valid one. Args: ...
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import random def get_epsilon_greedy_action(epsilon, Q_actions): """Choose an action using the epsilon-greedy strategy. :param epsilon: :param Q_actions: :return: """ if random.random() > epsilon: max_actions = [] max_v = float("-inf") for action in Q_actions: ...
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import torch def get_padded_tensor(tensor, n_padding, padding_index, special_embedding, front =True): """ Args: tensor (torch.Tensor): tensor to be padded n_padding (int): padding nums padding_index (int): which chars to use: (0-SOS 1-NULL 2-UNK 3-EOS) special_embedding (torch...
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def perform_substitution(match, substitution_map): """Substitutes C++ identifiers with C# identifiers. We want to perform subsitutions on function names, but not accidentally hit anything else in the string. For example, if the line looks like this: /// Returns true if `firebase::crash::Initialize()` has been...
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from typing import List def parse_timeseries( timeseries_str, time_input_unit="minute", time_output_unit="second" ) -> List[List[float]]: """Create a list of 2-list [timestep (seconds), value (mm/hour)].""" if not timeseries_str: return [[]] output = [] for line in timeseries_str.split(): ...
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def get_user_pw(request): """ Obtains user's credentials from request object. @return (username, password) if credentials are available and (None, None) otherwise """ if 'Authorization' not in request.headers: return (None, None) auth = request.authorization return (auth.username...
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import json def load_vocab(f): """Load the vocab from a file. """ json_dict = json.loads(f.read()) vocab = {int(k): v for k, v in json_dict.items()} vocab.update({v: k for k, v in vocab.items()}) return vocab
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def get_headers(oauth_token: str) -> dict: """Common headers for all requests""" return { 'Authorization': f'OAuth {oauth_token}' }
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def generate_description(slug: str) -> str: """ Fungsi yang menerima input berupa string dengan kebab-case dan mengubahnya menjadi string UPPERCASE. Fungsi ini juga akan mengakronim input yang terlalu panjang (lebih dari 30 karakter). Contoh: >>> generate_description("home") 'HOME' ...
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import torch def kl_term(mean, scale): """KL divergence between N(mean, scale) and N(0, 1)""" return .5 * (1 - 2 * torch.log(scale) + (mean * mean + scale * scale))
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def roll(arr, step): """ Roll array, by "step". """ return arr[step:] + arr[:step]
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def sigfig(number, places): """ Round `number` to `places` significant digits. Parameters: number (int or float): A number to round. places (int): The number of places to round to. Returns: A number """ # Passing a negative int to round() gives us a sigfig determinatio...
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import re def is_literature(paragraph: str) -> bool: """ Check if a paragraph is a literature entry. Parameters ---------- paragraph : str Returns ------- is_literature : bool """ doi_regex = re.compile(r"""(10[.][0-9]{4,}(?:[.][0-9]+)*/(?:(?!["&\'<>])\S)+)""") issn_regex...
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import math def atan(x): """Get the arc tangent of x, an angle in radians. The range of result values is [-π / 2, π / 2]. """ return math.atan(x)
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from struct import pack, unpack def zfp_accuracy_opts(accuracy): """Create compression options for ZFP in fixed-accuracy mode The float accuracy parameter is the absolute error tolarance (e.g. 0.001). """ zfp_mode_accuracy = 3 accuracy = pack('<d', accuracy) # Pack as IEEE 754 double high = ...
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def adjust_fit(dst_w, dst_h, img_w, img_h): """ given a x and y of dest, determine the ratio and return an (x,y,w,h) for a fitted image (note x or y could be neg). >>> adjust_fit(4,3,5,5) (0.5, 0, 3.0, 3.0) >>> adjust_fit(8,6,5,5) (1.0, 0, 6.0, 6.0) >>> adjust_fit(4,3,5,2) (0, 0.6999...
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