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def NPL_indicator (row): """ Determine the indicator of NPL as one of five indicators """ if row < 37: return "Excellent" elif row <= 48: return "Good" elif row < 61: return "Fair" elif row < 93: return "Poor" else: return "Hazard"
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def clamp_value(val, min_val, max_val): """Restrict a value to within the specified range""" return min_val if val < min_val else max_val if val > max_val else val
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import hashlib def truncate_value(value, max_length=63, from_left=True): """ Truncate a value (typically a column name) to a certain number of characters, using a hash to ensure uniqueness. """ hash_length = 8 truncated_length = max_length - hash_length - 1 value = value.encode('unicode-es...
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def _list_str(lst,sep): """ Returns the list as a string with the given separator and no brackets. """ ret = '' for x in lst: ret += str(x)+sep return ret[:-1*len(sep)] # remove extra separator
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def set_out_cell(outSheet, col, row, value): """ Change cell value without changing formatting. """ def _getOutCell(outSheet, colIndex, rowIndex): """ HACK: Extract the internal xlwt cell representation. """ row = outSheet._Worksheet__rows.get(rowIndex) if not row: return None ...
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def unique_doc_id(doc): """ Return a string of format "<GlobalJobId>#<RecordTime>" To uniquely identify documents (not jobs) Note that this uniqueness breaks if the same jobs are submitted with the same RecordTime """ return f"{doc['GlobalJobId']}#{doc['RecordTime']}"
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from typing import IO import hashlib def _hash_fileobj(fileobj: IO[bytes]) -> str: """ Compute sha256 hash of a file. File pointer will be reset to 0 on return. """ fileobj.seek(0) h = hashlib.sha256() for block in iter(lambda: fileobj.read(2 ** 20), b""): h.update(block) fileobj.seek(0) ...
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def _is_file_like(obj): """ Checks if an object is file-like enough to be sent to requests. In particular, file, StringIO and cStringIO objects are file-like. Refs http://stackoverflow.com/questions/3450857/python-determining-if-an-object-is-file-like """ return hasattr(obj, 'read') and hasattr...
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def subtract_leak(cell, baseline_range, test_range, V_channel=1, I_channel=0): """Subtract leak conductance from the I channel of a Cell-like np.ndarray. Calculates leak conductance based on Rm, which is extracted from test pulse. Assumes test pulse is the same in each sweep. Arguments --------- ...
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def check_test(out, my_out): """ Function used to determine if output matches between gcc and basic interpreter :param out: output of executable :param my_out: output of interpreter :return: True if both outputs are the same, False otherwise """ if (out == my_out): return True el...
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def get_null_stats(df): """ Function that will return count (absolute and relative) of null values in each column in `df`. Parameters ---------- df : pandas.DataFrame DataFrame on which this function will operate. Return ------ pandas.DataFrame with `df.columns` as row ...
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def get_nb_new(emails): """Return formatted string with number of new emails""" if emails: return '{}/'.format(len(emails)) return ''
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def target_reachable(env, target, state): """ Return True if target is reachable in network. Target is reachable iff: 1) it's on an exposed subnet 2) it's on a compromised subnet 3) it's on a subnet connected to a compromised subnet """ network = env.network if network.s...
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def read_input(input_file: str) -> str: """ Helper function for reading XML contents from a file. :param input_file: path to XML file containing input :return: `string` representing XML input from given file """ with open(input_file, 'r') as f: xml_input = f.read() return xml_inpu...
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def set_input_container(_container, cfg): """Save the input for the container in the configurations.""" if not _container: return False if _container.exists(): cfg["container"]["input"] = str(_container) return True return False
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def fix_static(lines): """Fix image links to handle new static path.""" def fix_static_line(line): return line.replace('/static/images', '/images') return [fix_static_line(line) for line in lines]
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def sniff_nodata(series): """ Attempt to guess the nodata value associated with a series Parameters ---------- series : pandas series Returns ------- str : the nodata placeholder in a series """ uniques = series.uniques() for nd in ['#N/A', '#N/A N/A', '#NA', '-1.#IND', '-...
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def rescale(f,a=0,b=1): """ Rescale linearly the dynamic of a vector to fit within a range [a,b] """ v = f.max() - f.min() g = (f - f.min()).copy() if v > 0: g = g / v return a + g*(b-a)
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def keep_numeric(s: str) -> str: """ Keeps only numeric characters in a string ------ PARAMS ------ 1. 's' -> input string """ return "".join(c for c in list(s) if c.isnumeric())
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def _safe_divide(numerator: int, denominator: int) -> float: """Normal division except anything/0 becomes 0.0.""" return numerator / denominator if denominator else 0.0
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def divide(a, b): """ Divide two numbers Parameters: a (float): counter b (float): denominator Returns: float: division of a and b """ if b == 0: raise ValueError("Cannot divide by zero!") return a / b
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def equal_or_slightly_less(a, b, threshold=5): """ Return boolean depending on whether `a` is equal to or slightly less than `b` (based on threshold of allowed deviation). Args: a (number): first number b (number): second number threshold (int, optional): Threshold. Defaults to...
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from operator import contains def finds(item, mod): """ Returns tuple of coordinates of item in mod, if found. Otherwise, it returns None """ coords = [key for key, val in mod.items() if contains(item, val)] # If coords!=[], it'll be for eg. [(0,0,0)]. Extract the tuple, return return coords[0] if...
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def interleave_channels(*channels): """Returns a sequence comprising of interleaved channels""" return tuple([i for sublist in zip(*channels) for i in sublist])
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from re import match as re_match def event_nonum_arg_count(e): """ Given an EventAnnotation, returns a dictionary containing for each of its argument without trailing numbers (e.g. "Theme1" -> "Theme") the number of times the argument appears. """ nnc = {} for arg, aid in e.args: ...
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def get_choice_label(label, data_dictionary, language=None): """ Return the label matching selected language or simply just the label. """ if isinstance(label, dict): languages = [i for i in label.keys()] _language = language if language in languages else \ data_dictionary.ge...
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def __to_sentence(sentence): """ Convert a sentence annotation to a gloss. """ ret = "" for tok in sentence['tokens']: ret += tok['originalText'] + tok['after'] return ret
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def uniq(input): """Remove duplicates from a list while preserving the list order""" output = [] for item in input: if item not in output: output.append(item) return output
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def f1_score(precision: float, recall: float) -> float: """ Calculates F1 score according to: .. math:: 2 (P*R)/(P+R) Parameters ---------- precision Precision recall Recall Returns ------- F1 score """ try: return (precision * recall) / ((prec...
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from typing import Union from typing import List from datetime import datetime def days_to_datetimes(days: Union[int, List[int]], offset: int = 2100) -> Union[datetime, List[datetime]]: """ Converts Julian days to datetimes given an offset """ days = [days] if isinstance(days, int) else days return [...
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def analyze(file_path, pattern_reg_exp): """ Return the set of passing and failing methods and a map from failing methods to the reason they failed. """ # # We pass in the pattern regular expression so we will not have # compile it repeatedly. For reference, here is its definition: # ...
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def linear_variogram_model(m, d): """Linear model, m is [slope, nugget]""" slope = float(m[0]) nugget = float(m[1]) return slope * d + nugget
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def diff_state(initial, new, my_id=None): """ Return a list of widget model_ids that have changed based on two widget states """ diff = [] for (init_id, init_state), (new_id, new_state) in zip( initial.items(), new.items() ): assert init_id == new_id if init_state != ...
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def redirect(path): """ Redirect requests. :param str path: Rejection status code :return dict: Redirection response """ return dict(statusCode=301, headers={'Location': path})
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def countRectsInGrid(gridWidth, gridHeight, abortLimit=None): """Count how many rectangles fit in a grid with given dimensions. 'abortLimit' is an optional argument to avoid counting beyond a certain limit.""" return gridWidth * (gridWidth + 1) * gridHeight * (gridHeight + 1) // 4
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def count_amino_acids(protein: str) -> dict: """ Given: protein: a string of protein sequence Return: A dictionary contains: {amino acid: number of occurrence in protein} (If some amino acids do not appear in protein, the output does not need to include it.) """ count = {} ...
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def mapper_16QAM(QAM16, data): """Uses the input data to index the array with the 16QAM amplitudes and phases. Parameters ---------- QAM16 : 1D array of floats Array that will be indexed. data : 1D array of ints Data that will index the QAM16 array. Returns ----...
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def split_format(fmtstring, s): """decode a bytestring and split and convert it by a given format code s: string, i: int, f: float, x: none Args: fmtstring: specifies the format of the string, eg 's4,i4,f14,f14' s: string to decode Returns: list: with results """ decode...
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def replaceAll(s, subs, rep): """ Replaces all substrings in a string with another string """ count = 0 for i in s: if i == subs: count += 1 return s.replace(subs, rep, count)
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import copy def _safe_log(log_func, msg, msg_data): """Sanitizes the msg_data field before logging.""" SANITIZE = { 'set_admin_password': ('new_pass',), 'run_instance': ('admin_password',), } method = msg_data['method'] if method in SANITIZE: msg_...
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import binascii def b2lx(b): """Convert bytes to a little-endian hex string Lets you show uint256's and uint160's the way the Satoshi codebase shows them. """ return binascii.hexlify(b[::-1]).decode('utf8')
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def break_chains(df): """Break a non-linear alignment in linear parts""" dataframes = [] last_direction = df["is_reverse"].iloc[0] initial_index = 0 for index, direction in enumerate(df["is_reverse"]): if direction != last_direction: dataframes.append(df.iloc[initial_index:index]...
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def proportional(raw_value, factor, unit=None): """Applies a proportional factor.""" return (float(raw_value) * factor, unit)
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def get_lsb(value): """ Get least significant bit. :param value: value to obtain lsb from :return: least significant bit """ return value & 0x1
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def is_usb_serial(device, args): """Checks device to see if its a USB Serial device. The caller already filters on the subsystem being "tty". If serial_num or vendor is provided, then it will further check to see if the serial number and vendor of the device also matches. """ if "ID_VENDOR" ...
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def get_selection(action, suboptions): """ param: action (string) - the action that the user would like to perform; printed as part of the function prompt param: suboptions (dictionary) - contains suboptions that are listed underneath the function prompt. The ...
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import struct def read_openssh_string(bin_fp): """ Read a length-prefixed ("OpenSSH-style Pascal") string from a file. This format is described in https://tools.ietf.org/html/rfc4251 (look for "Arbitrary length binary string"). :param bin_fp: Binary file-like object :return: bytes """ ...
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import pytz from datetime import datetime def edt_to_utc(date, mask='%m/%d/%Y %I:%M%p'): """ Convert EDT (Eastern Daylight Time) to UTC :param date: EDT date string e.g. '5/26/2014 4:00pm' :param mask: format of input date e.g '%m/%d/%Y %I:%M%' :return: UTC date string e.g '2014-03-05 12:23:00 UT...
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def map_transaction(txn): """ Maps a single transaction row to a dictionary. Parameters ---------- txn : pd.DataFrame A single transaction object to convert to a dictionary. Returns ------- dict Mapped transaction. """ # sid can either be just a single value or ...
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def is_iterable(iterable): """ Determine if the provided object is an iterable type. :param iterable: Object to test :return: True if the object is an instance of an iterable data type """ try: iter(iterable) return True except TypeError: return False
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from typing import List def remove_nested_packages(packages: List[str]) -> List[str]: """Remove nested packages from a list of packages. >>> remove_nested_packages(["a", "a.b1", "a.b2", "a.b1.c1"]) ['a'] >>> remove_nested_packages(["a", "b", "c.d", "c.d.e.f", "g.h", "a.a1"]) ['a', 'b', 'c.d', 'g....
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def maprange( range_from, range_to, value):# {{{ """Map value from range_from -> range_to range_from and range_to are tuples """ (f1, f2) = range_from (t1, t2) = range_to new_value = t1 + ((value - f1) * (t2 - t1) / (f2 - f1)) return new_value
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def summary(file): """ Summarize the General Ledger by transaction type. """ return ( file.groupby("Transaction Type")["Debit", "Credit", "Net"].sum().round(1).abs() )
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def squeeze(obj): """ Return the item of an array of length 1, otherwise return original object. """ try: return obj.item() except (ValueError, AttributeError): return obj
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from pathlib import Path from typing import Tuple from typing import List def get_file_paths( root_dir: Path, ) -> Tuple[List[str], List[str]]: """Load the list of training and ground truth image paths. Args: root_dir: Path to the directory where the CIL data is extracted Returns: Li...
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def get_next_available_key(iterable, key, midfix="", suffix="", is_underscore=True, start_from_null=False): """Get the next available key that does not collide with the keys in the dictionary.""" if start_from_null and key + suffix not in iterable: return key + suffix else: i = 0 und...
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def transposta_matriz(M): """Calcula a transposta de uma matriz.""" lin = len(M[0]) col = len(M) MT = [] for l in range(lin): linha = [] for c in range(col): linha.append(M[c][l]) MT.append(linha) return MT
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def clamp(value, min_value, max_value): """ Returns *value* clamped to the range *min_value* to *max_value* inclusive. """ return min(max_value, max(min_value, value))
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def format_property(obj, name): """ Format an object property's dotted name. :param obj: The object that owns the property. :param name: The name of the property (a string). :returns: The dotted path (a string). """ return "%s.%s" % (obj.__class__.__name__, name)
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def strip_id_from_matrix(mat): """ Remove the ID (1st row element) form a matrix :param mat: a 2D list :rtype: a 2D list with the 1st row elelemnt (ID) removed """ new_mat = [] for i in range(0, len(mat)): new_mat.append(mat[i][1:]) return new_mat
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def get_next_epoch(savedmodel_path): """ Read the path to the saved model and returns the next eopch to train on. Input: string specifying path Returns: int specifying the next epoch """ if savedmodel_path == "": next_epoch = 1 else: next_epoch = int(savedmodel_path[savedmode...
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def parse_grouping(p): """Parse primary and secondary digit grouping >>> parse_grouping('##') (1000, 1000) >>> parse_grouping('#,###') (3, 3) >>> parse_grouping('#,####,###') (3, 4) """ width = len(p) g1 = p.rfind(',') if g1 == -1: return 1000, 1000 g1 = width - g...
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def id_in_database_check(p_my_cursor, p_id_number_to_remove): """Called to check if id number is present in the database. Returns True if ID found, returns false if ID not found.""" sql = f"SELECT * FROM contacts.contact WHERE id={p_id_number_to_remove}" p_my_cursor.execute(sql) data_rows = p_my_cursor...
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import torch def outer_pairwise_distance(A, B=None): """ Compute pairwise_distance of Tensors A (size(A) = n x d, where n - rows count, d - vector size) and B (size(A) = m x d, where m - rows count, d - vector size) return matrix C (size n x m), such as C_ij = distance(i-th...
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import string def sanitize(s: str) -> str: """ Return sanitized string for printing to cli. """ s = s.replace("\n", "\\n") s = s.replace("\r", "\\r") s = s.replace("\t", "\\t") s = s.replace("\\\\", "\\") # print single backslashes s = "".join(c for c in s if c in string.printable) ...
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import random import string def rand_ascii_str(length=10): """ Generates a random string of ascii characters of length 'length' """ return ''.join(random.choice(string.ascii_letters) for x in range(length))
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def median_solution_2(a, b, c): """ compute the median of three values using built-in min and max functions and a little bit of arithmetic. Notes ----- The median of three values is the sum of the values minus the smallest minus the largest Parameters ---------- a : f...
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def process_coordinates(df): """Takes a dataframe and make a column for `latitude` and another one for `longitude` with data from `coordinates` column. The new columns will be float dtype. Parameters ---------- df : The dataframe to search. Returns ------- The datafr...
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from bs4 import BeautifulSoup import re def parse_saldo(page_source): """Parses saldo. :param page_source: HTML page source :return: Saldo or None :rtype: str or None """ soup = BeautifulSoup(page_source, 'lxml') lines = soup.find_all('div', class_='kontozeile_center') if lines: ...
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def car(pair): """Return the first element of a pair created with `cons` param pair: A pair that was created with `cons` returns: The first element of the pair """ def fst(x, _): return x return pair(fst)
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def toint2(i): """ Convert a number to a binary string of length 8 """ return f'{i:08b}'
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def inline_code(text: str) -> str: """Formats text for discord message as inline code""" return f"`{text}`"
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def srf_dxy(srf): """ Retrieve SRF dx and dy. Assumes all planes have same dx, dy. srf: SRF file path to read from """ with open(srf, "r") as sf: # version sf.readline() # planes definition sf.readline() # first plane elon, elat, nstk, ndip, length...
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import difflib def diff(old, new): """ Helper function. Returns a string containing the unified diff of two multiline strings. """ old=old.splitlines(1) new=new.splitlines(1) diff=difflib.unified_diff(old, new) return ''.join(diff)
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def trimandshift(t, p): """ Takes the vectors given by the above function, and chops out a day and samples at half hourly intervals. """ t3, p3 = [], [] t2 = t[132+4*144:276+4*144] p2 = p[132+4*144:276+4*144] for i in range(len(t2)): if (i%3) == 0: t3.append(t2[i]) p3.append(p2[i]) return t3, p3
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def highzvpickup(I, RL, Rct, CTR=1, threephase=False, Ks=1.5, Vstd=400, Kd=0.5): """ High Impedance Pickup Setting Function. Evaluates the voltage pickup setting for a high impedance bus protection system. Parameters ---------- I: float Fault curre...
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def identity_step(iterator): """A pipeline-step which does nothing.""" return iterator
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def _substr(s, n, split_string): """ Recursively get string between n-th and (n+1)-th occurence. Useful for getting band information (bandinf) such as polarisation VV, VH, ... """ if n == 0: return s[:s.find(split_string)] else: return _substr(s[s.find(split_string)+1:], n-1, spl...
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def single_point_truncation(f, x_0, x_1, eps=0, eta=0, max_steps=20, verbose=False): """单点弦截法 Args: f: function, 迭代函数 x_0, x_1: float, 初值 eps: float, 根的容许误差, default 0. eta: float, abs(f(x)) 的容许误差, default 0. max_steps: int, 最大迭代次数, default 20. verbose: bool, 打...
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def f(L1, L2): """L1, L2 lists of same length of numbers returns the sum of raising each element in L1 to the power of the element in the same index in L2 For example, f([1,2], [2,3]) returns 9""" return sum(n for n in map(lambda x, y: x ** y, L1, L2))
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def update_light(command, light): """Compute new light value. Args: command (str): 'toggle', 'turn on' or 'turn off' light (int): Light status before command execution Returns: int: New light status """ logic = { "toggle": light + 2, "turn on": light + 1, ...
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def getOverviewName(viewName): """ Return Overview sheet name formatted with given view. """ return 'Overview ({})'.format(viewName)
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def split_at(string, sep, pos): """ Return string splitted at the desired separator. Args: string (str): The supplied string that will be splitted. sep (str): The desired separator to use for the split. pos (int): The desired occurence of the defined separator within the...
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def degree(node, row, col): """return the degree of the given node""" neighbors = col[row == node] return len(neighbors)
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def a(a1, a2): """ Return the sum of a1 and a2. """ return a1 + a2
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def disabled(cls): """ Testcase decorator that marks the test as being disabled. These tests are not automatically added to the "standard" group or their module's group. """ cls._disabled = True return cls
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def semPad(ver: list[str], length: int) -> list[str]: """Pad a semver list to the required size. e.g. ["1", "0"] to ["1", "0", "0"]. Args: ver (list[str]): the semver representation length (int): the new length Returns: list[str]: the new semver """ char = "0" if ver[-1] == "*": char = "*" return ver +...
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import re def is_valid_doi(doi: str) -> bool: """Validate a DOI via regular expressions. Parameters ---------- doi : string A single DOI to be validated. Returns ------- bool True, if DOI is valid, False if not. """ patterns = [ r"^10.\d{4,9}/[-._;()/:A-Z...
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from typing import List def _get_shared_columns(source_columns: List[str], destination_columns: List[str]) -> List[str]: """ Return the list of columns contained in both lists. """ shared_columns = [c for c in destination_columns if c in source_columns] if not shared_columns: raise RuntimeError("...
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def get_format_vertical_parity_sign(format): """ Get the vertical data layout associated with an image format, expressed as a coordinate system parity sign. Parameters ---------- format : :class:`str` The format name; one of ``SUPPORTED_FORMATS`` Returns ------- Either +1 o...
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def countBits(value): """ Count number of bits needed to store a (positive) integer number. >>> countBits(0) 1 >>> countBits(1000) 10 >>> countBits(44100) 16 >>> countBits(18446744073709551615) 64 """ assert 0 <= value count = 1 bits = 1 while (1 << bits) <= ...
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def string_to_bool(s): """ Helper function to convert any strings of those to be true We have different way to say yes!" :param s: input :type s: str :return: True or False :rtype: bool """ if s.lower() in ["true", "t", "yes", "yeah", "yup", "y", "certainly", ...
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import csv def load_pose(filename): """ Loads initial and goal state information for a robot from a text file :param filename: path and name to the file with robot state information :return: dictionaries for the initial state and goal state """ with open(filename, 'r', encoding='utf8') as fin...
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def stimulus(t): """ External Current | :param t: time | :return: step up to 10 uA/cm^2 at t>100 | step down to 0 uA/cm^2 at t>200 | step up to 35 uA/cm^2 at t>300 | step down to 0 uA/cm^2 at t>400 """ return 10 * (t > 100) - 10 * (t > 200) + 35 * (t ...
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def _flip(arr, axes=None): """ Reverse array over many axes. Generalization of arr[::-1] for many dimensions. If `axes` is `None`, flip along all axes. """ if axes is None: reverse = [slice(None, None, -1)] * arr.ndim else: reverse = [slice(None, None, None)] * arr.ndim for axis ...
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import torch def set_device(cuda: bool) -> torch.device: """Set the device for computation. Args: cuda (bool): Determine whether to use GPU or not (if available). Returns: Device that will be use for compute. """ device = torch.device("cuda" if (torch.cuda.is_available() and cuda...
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def is_valid_index(idx, in_list, start_idx=0): """ param: idx (str) - a string that is expected to contain an integer index to validate param: in_list - a list that the idx indexes param: start_idx (int) - an expected starting value for idx (default is 0); gets subtra...
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def handleNameConstant(node, line): """ Converts the NameConstant node to represent the type of the value (True, False, None). """ return str(node.value)
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def get_formatted_wwn(wwn_str): """Utility API that formats WWN to insert ':'. """ if (len(wwn_str) != 16): return wwn_str else: return ':'.join( [wwn_str[i:i + 2] for i in range(0, len(wwn_str), 2)])
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import mimetypes import io import re def template_strings(self): """Check for template placeholders. The ``nf-core create`` pipeline template uses `Jinja <https://jinja.palletsprojects.com/en/2.11.x/>`_ behind the scenes. This lint test fails if any Jinja template variables such as ``{{ pipeline...
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