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def bin_to_str(val): """ Converts binary integer to string of 1s and 0s """ return str(bin(val))[2:]
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import signal def register_signal_handler(sig, handler): """Registers a signal handler.""" return signal.signal(sig, handler)
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def AfterTaxIncome(combined, expanded_income, aftertax_income, Business_tax_expinc, corp_taxliab): """ Calculates after-tax expanded income. Parameters ---------- combined: combined tax liability expanded_income: expanded income corp_taxliab: imputed corporate tax liabili...
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def _find_tbl_starts(section_index, lines): """ next three tables are the hill, channel, outlet find the table header lines :param section_index: integer starting index of section e.g. "ANNUAL SUMMARY FOR WATERSHED IN YEAR" :param lines: loss_pw0.txt as a list of strings ...
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def decode_list_index(list_index: bytes) -> int: """Decode an index for lists in a key path from bytes.""" return int.from_bytes(list_index, byteorder='big')
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def mode_decomposition(plant): """Returns a list of single mode transfer functions Parameters ---------- plant : TransferFunction The transfer function with at list one pair of complex poles. Returns ------- wn : array Frequencies (rad/s). q : array Q factors. ...
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def assign_province_road_conditions(x): """Assign road conditions as paved or unpaved to Province roads Parameters x - Pandas DataFrame of values - code - Numeric code for type of asset - level - Numeric code for level of asset Returns String value as paved or unpav...
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import ast def guess_type(string): """ Guess the type of a value given as string and return it accordingly. Parameters ---------- string : str given string containing the value """ string = str(string) try: value = ast.literal_eval(string) except Exception: # Synt...
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from typing import List def split_high_level(s: str, c: str, open_chars: List[str], close_chars: List[str] ) -> List[str]: """Splits input string by delimiter c. Splits input string by delimiter c excluding occurences of ...
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def tonumpy(img): """ Convert torch image map to numpy image map Note the range is not change :param img: tensor, shape (C, H, W), (H, W) :return: numpy, shape (H, W, C), (H, W) """ if len(img.size()) == 2: return img.cpu().detach().numpy() return img.permute(1, 2, 0).c...
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import re def substitute_query_params(query, params): """ Substitutes the placeholders of the format ${n} (where n is a non-negative integer) in the query. Example, ${0}. ${n} is substituted with params[n] to generate the final query. """ placeholders = re.findall("((\${)(\d+)(}))", query) for...
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def group_text(text, n=5): """Groups the given text into n-letter groups separated by spaces.""" return ' '.join(''.join(text[i:i+n]) for i in range(0, len(text), n))
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def p_length_unit(units): """Returns length units string as expected by pagoda weights and measures module.""" # NB: other length units are supported by resqml if units.lower() in ['m', 'metre', 'metres']: return 'metres' if units.lower() in ['ft', 'foot', 'feet', 'ft[us]']: return 'feet' assert(False)
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from typing import Callable def fname(func: Callable) -> str: """Return fully-qualified function name.""" return "{}.{}".format(func.__module__, func.__name__)
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def getNrOfDictElements(thisdict): """ Will get the total number of entries in a given dictionary Argument: the source dictionary Output : an integer """ total = 0 for dicttype in thisdict: for dictval in thisdict[dicttype]: total += 1 return total
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import random def mutate_agent(agent_genome, max_mutations=3): """ Applies 1 - `max_mutations` point mutations to the given road trip. A point mutation swaps the order of two waypoints in the road trip. """ agent_genome = list(agent_genome) num_mutations = random.randint(...
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from typing import Sequence def strictly_increasing(s: Sequence): """Returns true if sequence s is monotonically increasing""" return all(x < y for x, y in zip(s, s[1:]))
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import random def generate_number(digits): """Generate an integer with the given number of digits.""" low = 10**(digits-1) high = 10**digits - 1 return random.randint(low, high)
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def _applescriptify_str(text): """Replace double quotes in text for Applescript string""" text = text.replace('"', '" & quote & "') text = text.replace('\\', '\\\\') return text
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def unpack_spectrum(HDU_list): """ Unpacks and extracts the relevant parts of an SDSS HDU list object. Parameters ---------- HDU_list : astropy HDUlist object Returns ------- wavelengths : ndarray Wavelength array flux : ndarray Flux array z : float Reds...
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import re def is_stable_version(version): """ Return true if version is stable, i.e. with letters in the final component. Stable version examples: ``1.2``, ``1.3.4``, ``1.0.5``. Non-stable version examples: ``1.3.4beta``, ``0.1.0rc1``, ``3.0.0dev0``. """ if not isinstance(version, tuple): ...
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def read_symfile(path='baserom.sym'): """ Return a list of dicts of label data from an rgbds .sym file. """ symbols = [] for line in open(path): line = line.strip().split(';')[0] if line: bank_address, label = line.split(' ')[:2] bank, address = bank_address.split(':') symbols += [{ 'label': label...
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def cert_bytes(cert_file_name): """ Parses a pem certificate file into raw bytes and appends null character. """ with open(cert_file_name, "rb") as pem: chars = [] for c in pem.read(): if c: chars.append(c) else: break # nul...
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def cupy_cuda_MemoryPointer(cp_arr): """Return cupy.cuda.MemoryPointer view of cupy.ndarray. """ return cp_arr.data
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def extend(*dicts): """Create a new dictionary from multiple existing dictionaries without overwriting.""" new_dict = {} for each in dicts: new_dict.update(each) return new_dict
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def mult (x, y): """ multiply : 2 values """ return x * y
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def combine_on_sep(items, separator): """ Combine each item with each other item on a `separator`. Args: items (list): A list or iterable that remembers order. separator (str): The SEPARATOR the items will be combined on. Returns: list: A list with all the combined item...
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def swapPos(list:list, pos1:int, pos2:int): """ Swap two elements in list. Return modified list """ list[pos1], list[pos2] = list[pos2], list[pos1] return list
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import csv def team2machine(cur_round): """Compute the map from teams to machines.""" # Get the config with the teamname-source mappings. config_name = f"configs/config_round_{cur_round}.csv" team_machine = {} with open(config_name, 'r') as infile: reader = csv.reader(infile) for r...
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import torch def systematic_sampling(weights: torch.Tensor) -> torch.Tensor: """Sample ancestral index using systematic resampling. Get from https://docs.pyro.ai/en/stable/_modules/pyro/infer/smcfilter.html#SMCFilter Args: log_weight: log of unnormalized weights, tensor [batch_shape, ...
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def get_column_as_list(matrix, column_no): """ Retrieves a column from a matrix as a list """ column = [] num_rows = len(matrix) for row in range(num_rows): column.append(matrix[row][column_no]) return column
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def _GetDefault(t): """Returns a string containing the default value of the given type.""" if t.element_type or t.nullable: return None # Arrays and optional<T> are default-initialized type_map = { 'boolean': 'false', 'double': '0', 'DOMString': None, # std::string are default-initialized....
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import configparser def get_downstream_distgit_branch(dlrn_projects_ini): """Get downstream distgit branch info from DLRN projects.ini""" config = configparser.ConfigParser() config.read(dlrn_projects_ini) return config.get('downstream_driver', 'downstream_distro_branch')
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def get_defined_enums(conn, schema): """ Return a dict mapping PostgreSQL enumeration types to the set of their defined values. :param conn: SQLAlchemy connection instance. :param str schema: Schema name (e.g. "public"). :returns dict: { "my_enum": frozense...
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def find_valid_edges(components, valid_edges): """Find all edges between two components in a complete undirected graph. Args: components: A [V]-shaped array of boolean component ids. This assumes there are exactly two nonemtpy components. valid_edges: An uninitialized array where ou...
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def find_column_by_utype(table, utype): """ Given an astropy table derived from a VOTABLE, this function returns the first Column object that has the given utype. The name field of the returned value contains the column name and can be used for accessing the values in the column. Parameters ...
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def calc_node_attr(node, edge): """ Returns a tuple of (cltv_delta, min_htlc, fee_proportional) values of the node in the channel. """ policy = None if node == edge['node1_pub']: policy = edge['node1_policy'] elif node == edge['node2_pub']: policy = edge['node2_policy'] else:...
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def format_mac(mac: str) -> str: """ Format the mac address string. Helper function from homeassistant.helpers.device_registry.py """ to_test = mac if len(to_test) == 17 and to_test.count("-") == 5: return to_test.lower() if len(to_test) == 17 and to_test.count(":") == 5: t...
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def present(element, act): """Return True if act[element] is valid and not None""" if not act: return False elif element not in act: return False return act[element]
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def format_output(tosave, formatter): """ Applies the formatting function, formatter, on tosave. If the resulting string does not have a newline adds it. Otherwise returns the formatted string :param tosave: The item to be string serialized :param formatter: The formatter function applied to ite...
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def _update_query(table: str, field: str, is_jsonb: bool, from_string: str, to_string: str) -> str: """Generates a single query to update a field in a PostgresSQL table. Args: table (str): The table to update. field (str): The field to update. is_jsonb (bool): Whether ...
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def generateFilenameFromUrl(url): """ Transforms a card URL into a local filename in the format imageCache/setname_cardnumber.jpg. """ return 'imageCache/' + '_'.join(url.split('/')[1:])
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import shutil def move(src_path, dest_path, raise_error=False): """ Moves a file or folder from ``src_path`` to ``dest_path``. If either the source or the destination path no longer exist, this function does nothing. Any other exceptions are either raised or returned if ``raise_error`` is False. "...
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def unblock_list(blocked_ips_list, to_block_list): """ This function creates list of IPs that are present in the firewall block list, but not in the list of new blockings which will be sent to the firewall. :param blocked_ips_list: List of blocked IPs. :param to_block_list: List of new blockings. ...
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import csv import re def get_keys_from_file(file): """ Reads a file and creates a list of dictionaries. :param file: Filename relative to project root. :return: lkeys - a list of dictionaries [{ Key: '00484545-2000-4111-9000-611111111111', Region: 'us-east-1' },...
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def file_list(redis, task_id): """Returns the list of files attached to a task""" keyf = "files:" + task_id return redis.hkeys(keyf)
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def _parse_quad_str(s): """Parse a string of the form xxx.x.xx.xxx to a 4-element tuple of integers""" return tuple(int(q) for q in s.split('.'))
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def flatten_dict(dct, separator='-->', allowed_types=[int, float, bool]): """Returns a list of string identifiers for each element in dct. Recursively scans through dct and finds every element whose type is in allowed_types and adds a string indentifier for it. eg: dct = { 'a': 'a stri...
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def _parse_tersoff_line(line): """ Internal Function. Parses the tag, parameter and final value of a function parameter from an atomicrex output line looking like: tersoff[Tersoff].lambda1[SiSiSi]: 2.4799 [0:] Returns: [(str, str, float): tag, param, value """ line = line.s...
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def find_IPG_hits(group, hit_dict): """Finds all hits to query sequences in an identical protein group. Args: group (list): Entry namedtuples from an IPG from parse_IP_groups(). hit_dict (dict): All Hit objects found during cblaster search. Returns: List of all Hit objects correspon...
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def get_mc_filepath(asm_path): """ Get the filepath for the machine code. This is the assembly filepath with .asm replaced with .mc Args: asm_path (str): Path to the assembly file. Returns: str: Path to the machine code file. """ return "{basepath}.mc".format(basepath=asm_...
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import re def encode(name, system='NTFS'): """ Encode the name for a suitable name in the given filesystem >>> encode('Test :1') 'Test _1' """ assert system == 'NTFS', 'unsupported filesystem' special_characters = r'<>:"/\|?*' + ''.join(map(chr, range(32))) pattern = '|'.join(map(re.es...
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from itertools import tee def pairs(iterable): """ Return a new iterable over sequential pairs in the given iterable. i.e. (0,1), (1,2), ..., (n-2,n-1) Args: iterable: the iterable to iterate over the pairs of Returns: a new iterator over the pairs of the given iterator """ # lazil...
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import re def convert_spaces_and_special_characters_to_underscore(name): """ Converts spaces and special characters to underscore so 'Thi$ i# jun&' becomes 'thi__i__jun_' :param name: A string :return: An altered string Example use case: - A string might have special characters at the end when t...
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def uid_already_processed(db, notification_uid): """Check if the notification UID has already been processed.""" uid = db.document(notification_uid).get() if uid.exists: return True else: return False
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def count_matched_numbers(a:list, b:list): """ Write a function that takes two lists as parameters and returns a list containing the number of elements that occur in the same index in both lists. If there is not common elements in the same indices in both lists, return False Example: >>> count_matched_numbers([1,...
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import binascii def from_bytes(bytes): """Reverse of to_bytes().""" # binascii works on all versions of Python, the hex encoding does not return int(binascii.hexlify(bytes), 16)
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def runningMean(oldMean, newValue, numValues): # type: (float, float, int) -> float """ A running mean Parameters ---------- oldMean : float The old running average mean newValue : float The new value to be added to the mean numValues : int The number of values i...
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from typing import Tuple from typing import Optional def validate_parse_directions(verb: str, direction: str) -> Tuple[Optional[str], Optional[str]]: """Parse north, south, east, west to n, s, e, w and if the user types trash insult them and return a tuple like, (None, some validation message)""" if len(d...
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def read_file_lines(filename): """Reads the lines of a file as a list""" with open(filename, mode="r") as f_in: return f_in.readlines()
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def get_list_hashes(lst): """ For LZ to be more effective, than worst case 'fresh' raw dump, you need to lz encode minimum 4 bytes length. Break into 4 bytes chunks and hash Parameters ---------- lst : list Input list to form hashes from (lz haystack). Returns ------- enume...
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def remove_ext(filename: str, ext: str) -> str: """ Remove a file extension. No effect if provided extension is missing. """ if not ext.startswith('.'): ext = f'.{ext}' parts = filename.rsplit(ext, 1) if len(parts) == 2 and parts[1] == '': return parts[0] else: return...
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def parse_to_dicts(lines, containers): """ Parses a list of lines into tuples places in the given containers. The lists of lines has the following format token1: tval1 key1: val11 key2: val12 token1: tval2 key1: val21 key2: val22 :param lines: :param containers: a dictio...
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def is_number(s): """ Test if a string is an int or float. :param s: input string (word) :type s: str :return: bool """ try: float(s) if "." in s else int(s) return True except ValueError: return False
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def get_locale_identifier(tup, sep='_'): """The reverse of :func:`parse_locale`. It creates a locale identifier out of a ``(language, territory, script, variant)`` tuple. Items can be set to ``None`` and trailing ``None``\s can also be left out of the tuple. >>> get_locale_identifier(('de', 'DE', Non...
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def to_channel_last(tensor): """Move channel axis in last position.""" return tensor.permute(1, 2, 0)
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def _is_file_a_directory(f): """Returns True is the given file is a directory.""" # Starting Bazel 3.3.0, the File type as a is_directory attribute. if getattr(f, "is_directory", None): return f.is_directory # If is_directory is not in the File type, fall back to the old method: # As of Oct....
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def correct_bounding_box(x1, y1, x2, y2): """ Corrects the bounding box, so that the coordinates are small to big """ xmin = 0 ymin = 0 xmax = 0 ymax = 0 if x1 < x2: xmin = x1 xmax = x2 else: xmin = x2 xmax = x1 if y1 < y2: ymin = y1 ymax ...
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def train_test_split_features(data_train, data_test, zone, features): """Returns a pd.DataFrame with the explanatory variables and a pd.Series with the target variable, for both train and test data. Args: data_train (pd.DataFrame): Train data set. data_tes (pd.DataFrame): Test data set. z...
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import torch def create_random_binary_mask(features): """ Creates a random binary mask of a given dimension with half of its entries randomly set to 1s. :param features: Dimension of mask. :return: Binary mask with half of its entries set to 1s, of type torch.Tensor. """ mask = torch.zeros...
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def pbar(val, maxval, empty='-', full='#', size=50): """ return a string that represents a nice progress bar Parameters ---------- val : float The fill value of the progress bar maxval : float The value at which the progress bar is full empty : str The character us...
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def hasShapeType(items, sort): """ Detect whether the list has any items of type sort. Returns :attr:`True` or :attr:`False`. :param shape: :class:`list` :param sort: type of shape """ return any([getattr(item, sort) for item in items])
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def reestructure_areas(config_dict): """Ensure that all [Area_0, Area_1, ...] are consecutive""" area_names = [x for x in config_dict.keys() if x.startswith("Area_")] area_names.sort() for index, area_name in enumerate(area_names): if f"Area_{index}" != area_name: config_dict[f"Area_...
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def get_section_markups(document, sectionLabel): """ Given a ConTextDocument and sectionLabel, return an ordered list of the ConTextmarkup objects in that section""" tmp = [(e[1],e[2]['sentenceNumber']) for e in document.getDocument().out_edges(sectionLabel, data=True) if e[2].get('category') == 'mar...
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def absolute_min(array): """ Returns absolute min value of a array. :param array: the array. :return: absolute min value >>> absolute_min([1, -2, 5, -8, 7]) 1 >>> absolute_min([1, -2, 3, -4, 5]) 1 """ return min(array, key=abs)
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def serialize_drive(drive) -> str: """ Serialize the drive residues and calibration state to xml. """ drivexml = drive.state_to_xml() return drivexml
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def return_list_smart(func): """ Decorator. If a function is trying to return a list of length 1 it returns the list element instead """ def inner(*args, **kwargs): out = func(*args, **kwargs) if not out: return None if len(out) == 1: return...
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def vec_bin(v, nbins, f, init=0): """ Accumulate elements of a vector into bins Parameters ---------- v: list[] A vector of scalar values nbins: int The number of bins (accumulators) that will be returned as a list. f: callable A function f(v)->[bo,...,bn] that maps ...
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import requests from bs4 import BeautifulSoup def get_soup(url): """ input url, output a soup object of that url """ page=requests.get(url) soup = BeautifulSoup(page.text.encode("utf-8"), 'html.parser') return soup
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import functools def if_inactive(f): """decorator for callback methods so that they are only called when inactive""" @functools.wraps(f) def inner(self, loop, *args, **kwargs): if not self.active: return f(self, loop, *args, **kwargs) return inner
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import asyncio import functools def async_test(loop=None): """Wrap an async test in a run_until_complete for the event loop.""" loop = loop or asyncio.get_event_loop() def _outer_async_wrapper(func): """Closure for capturing the configurable loop.""" @functools.wraps(func) def _in...
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def get_strains(output_file): """ Returns a dictionary that maps cell id to strain. Takes Biocellion output as the input file. """ strain_map = {} with open(output_file, 'r') as f: for line in f: if line.startswith("Cell:"): tokens = line.split(',') cell = int(tokens[0].split('...
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def is_iterable(x): """Returns True for all iterables except str, bytes, bytearray, else False.""" return hasattr(x, "__iter__") and not isinstance(x, (str, bytes, bytearray))
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def bprop_scalar_log(x, out, dout): """Backpropagator for primitive `scalar_log`.""" return (dout / x,)
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def _get_drive_distance(maps_response): """ from the gmaps response object, extract the driving distance """ try: return maps_response[0].get('legs')[0].get('distance').get('text') except Exception as e: print(e) return 'unknown distance'
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def calc_tcp(gamma, td_tcd, eud): """Tumor Control Probability / Normal Tissue Complication Probability 1.0 / (1.0 + (``td_tcd`` / ``eud``) ^ (4.0 * ``gamma``)) Parameters ---------- gamma : float Gamma_50 td_tcd : float Either TD_50 or TCD_50 eud : float equivalen...
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def get_enrollment(classroom, enrolled_only=False): """Gets the list of students that have enrolled. Args: classroom: The classroom whose enrollment to get. enrolled_only: If True, only return the set that are enrolled. Default is False. Returns: Set of Enrollment entries for the classroom. ...
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def get_price_for_market_state_crypto(result): """Returns the price for the current state of the market for Cryptocurrency symbols""" ## Crypto always on REGULAR market state, as it never sleeps ZZzzZZzzz... return { "current": result['regularMarketPrice']['fmt'], "previous": result['regular...
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from datetime import datetime def get_latest_archive_url(data: dict) -> str: """ Use the given metadata to find the archive URL of the latest image. """ metadata = data[-1] img = metadata["image"] date = datetime.strptime(metadata["date"], "%Y-%m-%d %H:%M:%S") archive_path = f"{date.year:0...
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import shlex def generate_input_download_command(url, path): """Outputs command to download 'url' to 'path'""" return f"python /home/ft/cloud-transfer.py -v -d {shlex.quote(url)} {shlex.quote(path)}"
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def _calculate_shrinking_factor(initial_shrinking_factor: float, step_number: int, n_dim: int) -> float: """The length of each in interval bounding the parameter space needs to be multiplied by this number. Args: initial_shrinking_factor: in each step the total volume is shrunk by this amount s...
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def calc_grv(thickness, height, area, top='slab', g=False): """Calculate GRV for given prospect Args: thickness [float]: average thickness of reservoir height [float]: height of hydrocarbon column area [float]: area of hydrocarbon prospect top: structure shape, one of `{'slab', '...
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import struct def decode_override_information(data_set): """decode result from override info :param tuple result_set: bytes returned by the system parameter query command R_RI for override info :returns: dictionary with override info values :rtype: dict """ overri...
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def is_link_displayed(link: str, source: str): """Check if the link is explicitly displayed in the source. Args: link: a string containing the link to find in the webpage source code. source: the source code of the webpage. Returns: True is the link is visible in the webpage, False...
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import codecs def decode_utf_8_text(text): """Decode the text from utf-8 format Parameters ---------- text : str String to be decoded Returns ------- str Decoded string """ try: return codecs.decode(text, 'utf-8') except: return text
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def create_user2(django_user_model): """ create another user """ user = django_user_model.objects.create_user( username='user_2', email='another@gmail.com', password='pass123' ) return user
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from datetime import datetime def _time_stamp_filename(fname, fmt='%Y-%m-%d_{fname}'): """ Utility function to add a timestamp to names of uploaded files. Arguments: fname (str) fmt (str) Returns: str """ return datetime.now().strftime(fmt).format(fname=fname)
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def _format_size(x: int, sig_figs: int = 3, hide_zero: bool = False) -> str: """ Formats an integer for printing in a table or model representation. Expresses the number in terms of 'kilo', 'mega', etc., using 'K', 'M', etc. as a suffix. Args: x (int) : The integer to format. sig_fi...
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def normalize(df, col_name, replace=True): """Normalize number column in DataFrame The normalization is done with max-min equation: z = (x - min(x)) / (max(x) - min(x)) replace -- set to False if it's desired to return new DataFrame instead of editing it. """ col = df[col_name] ...
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import torch def csv_collator(samples): """Merge a list of samples to form a batch. The batch is a 2-element tuple, being the first element the BxHxW tensor and the second element a list of dictionaries. :param samples: List of samples returned by CSVDataset as (img, dict) tuples. """ imgs ...
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