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def _prepare_gdal_options(options: dict, split_by_option_type: bool = False) -> dict: """ Prepares the options so they are ready to pass on to gdal. - Uppercase the option key - Check if the option types are on of the supported ones: - LAYER_CREATION: layer creation option (lco) ...
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import random import string def gen_random_str(min_length, max_length, prefix=None, suffix=None, has_letter=True, has_digit=False, has_punctuation=False): """ 指定一个前后缀、字符串长度以及字符串包含字符类型,返回随机生成带有前后缀及指定长度的字符串 :param: * min_length: (int) 字符串最小长度 * max_length: (int) 字符串最小长度 ...
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def getURL(key): """Takes in Spreadsheet key and appends url attributes. key -- Google Spreadsheet Key """ return "https://spreadsheets.google.com/feeds/list/"+str(key)+"/od6/public/basic?alt=json"
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import configparser def get_default_choice_index_from_config(config, section, option, choice_list, fallback=1): """Get index + 1 of the current choice value from cong, replacing with fallback if not found""" try: config_val = config.get(section, option) return [i for i, x in enumerate(choice_l...
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import math def coords_to_kavrayskiy(coords): """Convert geographical coordinates to Kavrayskiy VII coordinates. A Kavrayskiy VII map is defined with the following dimensions: - Height: pi units - Width: sqrt(3) * pi units """ # convert degrees to radians lat, lng = map(lambda deg: deg * ...
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def denormalize(data, mean, std): """ Invert `normalize` :param data: :param mean: :param std: :return: denormalized data """ return (data * std) + mean
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def get_point(pi, points): """Get a point from a numpy array. If the numpy array has 3 dimensions, will return all three (x,y,z) Arguments: pi {int} -- Point index in numpy array points {ndarray} -- Numpy array of points Returns: [list] -- List of poins [x,y,(z)] """ ...
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def create_new_calculator(operations=None): """ Creates a configuration dict for a new calculator. Optionally pre loads an initial set of operations. By default a calculator with no operations is created. :param operations: Dict with initial operations. ie: {'sum': sum_functi...
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def _login(item): """Handle login entries Returns: title, username, password, url, notes (include any extra URLs) """ title = item['name'] notes = item.get('notes', '') or '' url = None if len(item['login'].get('uris', [])) > 0: urls = [i['uri'] or '' for i in item['login']['u...
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def parse_values(values): """Create a new dictionary version from the sheet values passed in. Arguments: values -- (list) a 2d list of values from the google sheet Returns: new_sheet -- (dictionary) a dictionary representation of 'values' """ new_sheet = {} header = values[0] ...
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def _get_s_exon_paths(s_exon, path_list, s_exon2path): """ Return the set of path with a given s_exon. It uses s_exon2path to memoize the result. """ if s_exon not in s_exon2path: s_exon2path[s_exon] = set( filter(lambda x: '/' + s_exon + '/' in x, path_list)) return s_exon...
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import re def parse_imports(filename): """ Reads the file, and scans for imports. Returns all the assumed filename of all the imported modules (ie, module name appended with ".by") Args: filename (str): Path to file Returns: list of str: All imported modules, suffixed with '....
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def getconfirmation_input(action): """ Method collects user confirmation to proceed with action INPUTS: action as str, description of the action OUTPUT: Returns boolean, True to proceed, False to not proceed. """ loop = True while loop: user_input = input(f"Confirm to...
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def filter_songplays(df): """ Returns songplay rows """ return df.loc[df['page'] == "NextSong"]
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from typing import List def get_pairs_of_int_two_from_text(text: str, space: str) -> List[List[int]]: """Creates pairs of two from the given text :param text: Text we want to create pairs from :type text: str :param space: Target space :type space: str :return: Pairs of two in list form ...
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def ordinal_form(n): """Convert number to ordinal form in English. Parameters ---------- n : :class:`~python:int` Returns ------- :class:`~python:str` Examples -------- >>> from pprint import pprint >>> from sknano.core import ordinal_form >>> pprint([ordinal_form(i) f...
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def format_image_size(size): """Formats the given image size to a two-element tuple. A valid image size can be an integer, indicating both the height and the width, OR can be a two-element list or tuple. Both height and width are assumed to be positive integer. Args: size: The input size t...
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def next_player(table, from_seat, step=1, hascards=False): """ Attempts to find the index of the next valid player from the from_seat. If step is -1 it will search backwards on the table. Step can only be 1 or -1. We can also specify to search for the next player with cards by setting hascar...
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def strip_namespace(obj): """ Returns the given object name after striping the namespace :param obj: str, object to strip namespace from :return: str """ return obj.split(':')[-1]
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def convert_mothur_bool(item): """Converts python bool into a format that is compatible with mothur.""" if item is True: return 'T' elif item is False: return 'F' else: return item
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def case_normalizer(word, dictionary): """In case the word is not available in the vocabulary, we can try multiple case normalizing procedures. We consider the best substitute to be the one with the lowest index, which is equivalent to the most frequent alternative. Obtained from https://n...
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def get_bbox(x_start, y_start, x_end, y_end): """ This method returns the bounding box of a face. Parameters: ------------- x_start: the x value of top-left corner of bounding box y_start: the y value of top-left corner of bounding box width : the x value of bottom-right corner ...
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def avoids(word, forbidden): """Returns True if word does not contain any letter in forbidden string >>> avoids('yummy', 'abcdefg') True >>> avoids('dictionary', 'abcdefg') False >>> avoids('crypt', 'aeiou') True >>> avoids('tangible', 'aeiou') False """ for letter in word: ...
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def unlock_time(web3): """UNIX timestamp to unlock tokens 180 days in the future.""" return web3.eth.getBlock('pending').timestamp + 180 * 24 * 60 * 60
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def define_result(result: str, index: int) -> str: """ Rather than having the Team decode this, what if we just told it whether it had a win, loss, or draw? Then it wouldn't matter how we came to know this, we would just have to inform the team. The less that the Team knows about how we determine th...
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def IsValueValid(value): """Validate the value. An invalid value is either an empty string or a string of multiple '+'. Args: value: string. The value in raw result. Returns: A boolean indicates if the value is valid or not. """ if value == '' or '+' in value: return False return True
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def is_predicate(logic, start, end): """Returns T/F depending on if logic string is predicate and index of predicate operator (<=)""" equals_ind = logic.index("=") if equals_ind>end or equals_ind<start: return True, equals_ind return False, -1
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import re def trim_stopwords(s, stop_words): """Case-insensitive removal of stop phrases/words from a string >>> trim_stopwords('Depártment de Testing Test royale', ['depártment de', 'royale']) 'Testing Test' """ for stop in stop_words: if ' ' in stop: # phrase s = re.sub(stop...
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import requests def fetch_file_content(resource_url): """ Fetch the XML content of a resource via its URL :param resource_url :return: the text content of the file, None if the status code was not 200 """ response = requests.get(resource_url, headers={'accept': 'application/xml'}) if respo...
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def value_to_string(value, fmt): """ Convert numerical value to string with a specific format """ return "{value:>{fmt}}".format(value=value, fmt=fmt).strip()
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def str_rgb(rgb): """ Returns the string representation of an RGB object without alpha Parameter rgb: the color object to display Precondition: rgb is an RGB object """ return '('+str(rgb.red)+', '+str(rgb.green)+', '+str(rgb.blue)+')'
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from typing import Optional from pathlib import Path def get_home_path() -> Optional[str]: """get home directory path, return None if failed""" try: return str(Path.home()) except RuntimeError: return None
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from typing import Dict def unparse_connection(dsn: Dict[str, str]) -> str: """Return connection string for pretty printing or copying when starting psql.""" values = dict(dsn) for key in ("user", "port"): if key not in values: values[key] = "<default>" return "host={host} port={po...
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import yaml def load_yaml(filepath): """Load the content of a YAML file to a dictionary.""" with open(filepath, "r") as m_file: content = yaml.safe_load(m_file) return content
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def construct_res_tuple(res): """ Build the BigDFT fragment tuple given the residue of the structure Args: res(Residue): A residue Class on the Biopython package Returns: tuple: the (chain,fragname,fragno) tuple """ chain = res.full_id[2] if len(chain.lstrip(' ')) == 0: ...
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def get_id_from_name(name): """ Takes the lowercase name of a component and removes '-' and redundant spaces by splitting and then rejoining on spaces. Spaces and underscores are finally replaced with '-'. """ return ' '.join(name.lower().replace('-', '').split()).replace(' ', '-').replace('_', '-')
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def get_prop_t(pid, i): """ Gets a value of 'P585' (point in time) from a Wikidata property """ return pid[i]["qualifiers"]["P585"][0]["datavalue"]["value"]["time"]
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def is_valid(n: str) -> bool: """Tests if n is float or int""" try: float(n) or int(n) return True except ValueError: return False
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def check_if_vertically_overlapped(box_a, box_b): """ Return if box_b is intersected vertically with coord_a boxes. :param box_a: :param box_b: :return: true if intersected, false instead """ return \ box_a['y_min'] < box_b['y_min'] < box_a['y_max'] or \ box_a['y_min'] < box_...
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def ms2smp(ms, fs): """ Parameters ---------- ms: float Time in milliseconds fs: float Sampling rate in Hz. """ # return corresponding length in samples return int(float(fs) * float(ms) / 1000.0)
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import collections def DictFilter(alist, bits): """Translates bits from EDID into a list of strings. Args: alist: A list of tuples, with the first being a number and second a string. bits: The bits from EDID that indicate whether each string is supported by this EDID or not. Returns: A dic...
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import re def is_html(first_bytes): """ Detect whether a file contains HTML by examining its first bytes. """ BOMS = [ (b'\xef\xbb\xbf', 'utf-8'), (b'\x00\x00\xfe\xff', 'utf-32-be'), (b'\xff\xfe\x00\x00', 'utf-32-le'), (b'\xff\xfe', 'utf-16-le'), (b'\xfe\xff', 'utf-16-...
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import sqlite3 def get_setting(path, name): """Gets a setting value from the settings database.""" db = sqlite3.connect(path) r = db.execute("SELECT value FROM setting WHERE key = ?", (name,)).fetchone() return r[0] if r else None
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def build_data_dict(stats_arr, prefix): """ Build a data dictionary with columns named according to (k,z) bins, a threshold value, and some prefix. Assumes that stats_arr has shape: (N_samp, N_thres, N_z, N_kbins) """ # Get no. of points in each dimension. N_sam, N_thres, N_z, N_kbins = sta...
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def text_align(keyword): """``text-align`` property validation.""" return keyword in ('left', 'right', 'center', 'justify')
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def is_nested(ctx, rp1_uuid, rp2_uuid): """Returns True if the two resource providers are related with a :CONTAINS relationship. The direction of the relationship doesn't matter. """ query = """ MATCH p=(rp1 {uuid: '%s'})-[:CONTAINS*]-(rp2 {uuid: '%s'}) RETURN p """ % (rp1_uu...
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import random def ChooseFrom(choice_list): """Return a random choice from given list. Args: choice_list: list of possible choices. Returns: One random element from choice_list """ return random.choice(choice_list)
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def validate_rule_group_type(rule_group_type): """ Validate Type for RuleGroup Property: RuleGroup.Type """ VALID_RULE_GROUP_TYPES = ("STATEFUL", "STATELESS") if rule_group_type not in VALID_RULE_GROUP_TYPES: raise ValueError( "RuleGroup Type must be one of %s" % ", ".join(V...
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import torch def get_semantic_segmentation(sem): """ Post-processing for semantic segmentation branch. Arguments: sem: A Tensor of shape [N, C, H, W], where N is the batch size, for consistent, we only support N=1. Returns: A Tensor of shape [1, H, W] (to be gathered by dis...
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import torch def getKneighborsConnections(affinity_mat: torch.Tensor, p_value: int): """ Binarize top-p values for each row from the given affinity matrix. """ binarized_affinity_mat = torch.zeros_like(affinity_mat).int() for i in range(affinity_mat.shape[0]): line = affinity_mat[i, :] ...
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def crop_center(img, size): """ Crops out the center of `img` according to the given `size` tuple. """ return img[(Ellipsis,) + tuple(slice((x - s) // 2, (x + s) // 2) if s < x else slice(None) for x, s in zip(img.shape[-len(size):], ...
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import json def GetDownloadSerializationData(src_obj_metadata, progress=0): """Returns download serialization data. There are four entries: auto_transfer: JSON-specific field, always False. progress: How much of the download has already been completed. total_size: Total object size. url: Implemen...
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def create_crumb(title, url=None, active=False): """ Helper function that creates breadcrumb. """ active_str = "" if active: active_str = ' class="active"' inner_str = "%s" % title if url: inner_str = '<a href="%s">%s</a>' % (url, title) crumb = "<li%s>%s</li>" % (activ...
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import pickle def is_picklable(obj: object) -> bool: """Tests if an object can be pickled""" try: pickle.dumps(obj) return True except (pickle.PickleError, AttributeError): return False
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import json def toJson(val): """Return JSON string Supported datatypes: <class 'sqlalchemy.engine.result.RowProxy'> <type 'dict'> Args: val: datatype that gets converted to JSON string """ if str(type(val)) == "<class 'sqlalchemy.engine.result.RowProxy'>": return json.dumps(dict(val.items())) return j...
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import requests def _is_ssl_issue(jwks_url: str) -> bool: """Helper method to verify if auth failed because of an ssl issue looking up the jwks Args: jwks_url: url to the jwks endpoint Returns: true if it is an ssl error, false if anything else happens (success or any other failure) ...
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from typing import OrderedDict def cols2dict(headers,iterable): """creates an ordered dictionary from sequences of keys and values headers - a sequence of hashable items iterable - a sequence of items (checked to be the same length as headers) """ if len(headers) != len(iterable): raise Value...
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def list_difference(l1,l2): """ return the difference between 2 lists :param l1: :param l2: :return: list l1 - list l2 """ return list(set(l1) - set(l2))
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def _parse_grid_origin(grid_origin, radars): """ Parse the grid origin parameter, finding origin if not given. """ if grid_origin is None: lat = float(radars[0].latitude['data']) lon = float(radars[0].longitude['data']) grid_origin = (lat, lon) return grid_origin
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import itertools import random def reservoir(iterator, k): """ Performs reservoir sampling of k items in iterator. Make sure that the iterator is a once-only iterator (ie. not created using the "range" function). :param iterator: set of items to sample from :param k: sample k items :return: list ...
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def calculate_kinetic_energy(mass, velocity): """Returns kinetic energy of mass [kg] with velocity [ms].""" return 0.5 * mass * velocity ** 2 def test_calculate_kinetic_energy(): mass = 10 # [kg] velocity = 4 # [m/s] assert calculate_kinetic_energy(mass, velocity) == 80
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import shutil def dependency_check(dependency): """ Uses shutil to check if a dependency is installed (won't check version of anything - just presence) :param dependency: The dependency as it would be called on the command line (i.e. for blastn, would be blastn) :return: True if dependency is present,...
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def cleanup_user(user): """Given a dictionary of a user, return a new dictionary for output as JSON.""" return {"id" : str(user["_id"])}
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def _content(obj): """Return content of obj as bytes""" if type(obj) is bytes: return obj if not isinstance(obj, memoryview): obj = memoryview(obj) return obj.tobytes()
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import torch def divide_sequence( x: torch.Tensor, seq_len: int, pad: bool) -> torch.Tensor: """ Break full_len -> n_samples * seq_len Args: x: tensor: (full_len, ...) seq_len: Divided sequence length, the second dimension of the output ten...
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def get_multi_values(columns_to_insert,insert_values_dict_lst): """ returns the values for the placeholders in query. :param columns_to_insert: :param insert_values_dict_lst: :return: """ values = [] for value_dict in insert_values_dict_lst: for col in columns_to_insert: ...
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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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def compute_MIF(ic): """ Args: ic (IC): indepentent component. Returns: float: Myogenic identification feature. """ freqs, psd = ic.psd(verbose=False) mean_psd = psd.mean(axis=0) return mean_psd[freqs > 20].sum() / mean_psd.sum()
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def preformatted(text: str) -> str: """Make text to pre-formatted text.""" return f'```{text}```'
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def interest1(b, p, n): """ INTEREST1(b, p, n) computes the new balance after n years for an initial balance b and an annual interest rate p in per cent """ return b*(1 + p/100)**n
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import functools def chain(func): """ Decorator function that allows class methods to be chained by implicitly returning the object. Any method decorated with this function returns its object. :param func: :return: """ @functools.wraps(func) def wrap(self, *args, **kwargs): f...
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def find_factors(b): """Find factors of a number.""" res = [] for i in range(1, b + 1): if b % i == 0: print(i) res.append(i) return res
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def rename_dict_keys(input_dict, key_sets): """Renames the keys in a dictionary Parameters ---------- input_dict : dict Dictionary for which to change the keys key_sets : list list of tuples of the format `(old_key, new_key)` Returns ------- dict Copy of `input_...
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def get_img(item): """ Get img data from item. :param item: :return: """ return item
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def build_caching_info_message( job_spec, job_id, workflow_workspace, workflow_json, result_path ): """Build the caching info message with correct formatting.""" caching_info_message = { "job_spec": job_spec, "job_id": job_id, "workflow_workspace": workflow_workspace, "workfl...
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def import_object(name): """ Import an object from a module, by name. :param name: The object name, in the ``package.module:name`` format. :return: The imported object """ if name.count(':') != 1: raise ValueError("Invalid object name: {0!r}. " "Expected format...
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def buildEdgeDict(faces): """ Arguments: faces ([[vIdx, ...], ...]): A face representation Returns: {vIdx: [vIdx, ...]}: A dictionary keyed from a vert index whose values are adjacent edges """ edgeDict = {} for face in faces: for f in range(len(face)): ff = edgeDict.setdefault(face[f-1], set()) f...
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import inspect import weakref import functools def weakref_cache(func): """ (This cache is designed for the functions in the ``introspection.typing.introspection`` module.) Caches a function's return values based on the first argument. The cached input values are weakly referenced. Examp...
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from typing import Any def get_from_dict(dct: dict, key: tuple[str, ...]) -> Any: """Get value from dict using a multi-part key""" data: Any = dct for part in key: assert isinstance(data, dict) data = data[part] return data
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def digit(n, k, base): """ >>> digit(1234, 0, 10) 4 >>> digit(1234, 1, 10) 3 >>> digit(1234, 2, 10) 2 >>> digit(1234, 3, 10) 1 """ return n // base**k % base
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def majority(samples, ignore_none=True): """ Find the most frequent element in a list. Arguments: samples (list): Input list. Its elements must be hashable. ignore_none (bool): If None is a valid value. Returns: object: The most frequent element in samples. Returns none if the ...
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import requests from datetime import datetime def commit_in_last_year(commits_url: str, headers: dict) -> str: """ 11. Has there been a commit in the last year? """ r = requests.get(commits_url, headers=headers).json() last_commit_date = r.get("commit").get("author").get("date") last_commit_da...
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from typing import Callable from typing import Any import inspect def ignore_input(inner: Callable[[], Any]) -> Callable: """Returns `inner` function ignoring the provided inputs. >>> ignore_input(lambda: 0)(1) 0 """ def ignore_and_run(*args, **kwargs): return inner() async def igno...
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import string import random def gen_random_str(length=32): """ Generate random string (letters+numbers) Args: length: string length (default: 32) """ symbols = string.ascii_letters + '0123456789' return ''.join(random.choice(symbols) for i in range(length))
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def extract_source_phrase(line): """Extract the source phrase from an extract-file line.""" return line.split(b'|||', 1)[0]
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import re def parse_fasta_header(line): """ Returns gene_name, [(start, end), ..], strand for a given fasta header line. >>> parse_fasta_header(">lcl|NC_000913.2_cdsid_NP_417358.2 [gene=xanQ] [protein=xanthine permease] [protein_id=NP_417358.2] [location=3022373..3023773]") ('xanQ', [(3022373, 302377...
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def mvw_standard(prices, weight_bounds=(0.,1.), rf = 0., options = None): """ Calculates the mean-variance weights given a DataFrame of returns. Wraps mean_var_weights with standard covariance calculation method Args: * prices (DataFrame): Pri...
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def change_user_password( self, username: str, current_password: str, new_password: str, ) -> bool: """Update an existing user's password .. list-table:: :header-rows: 1 * - Swagger Section - Method - Endpoint * - user - POST - /u...
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def get_Di(M, A, Ds, S=None): """ Obtain the IFOV vector in GCI coordinates. Parameters ---------- M : numpy.matrix 3x3 nadir-to-GCI rotation matrix M A : numpy.matrix 3x3 Spacecraft Attitude Matrix Ds : 1-dimensional array of floats 3-element IFOV vector in sensor c...
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def check_troposphere(altitude: float=0.0) -> bool: """ This function checks if the input altitude is in the Troposphere.""" if -610.0 <= altitude <= 11000.0: return True else: return False
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def last_dig(a: int, b: int, c: int) -> bool: """Determine if last digit of c equals last digit of a * b.""" # Make list of list digits of a,b,c. last_digits = [digit % 10 for digit in [a, b, c, ]] # Calculate a*b and find the last digit. ab_last_digit = (last_digits[0] * last_digits[1]) % 10 # ...
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import math def safeArgs(args): """Iterate over valid, finite values in an iterable. Skip any items that are None, NaN, or infinite. """ return (arg for arg in args if arg is not None and not math.isnan(arg) and not math.isinf(arg))
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def grabKmer(seq, starti, k=9): """Grab the kmer from seq starting at position starti with length k Return the gapped and non-gapped kmer If seq[starti] is a gap then the non-gapped kmer is None. If there are not enough non-gap AA to return after starti then it returns None Parameters --------...
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def _resolve_dotted_attribute(obj, attr): """Resolves a dotted attribute name to an object. Raises an AttributeError if any attribute in the chain starts with a '_'. """ for i in attr.split('.'): if i.startswith('_'): raise AttributeError( 'attempt to access private ...
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def repeat_selection(base_algorithm, sampler, min_success, num_tries): """ Repeat a set-returning selection algorithm `num_tries` times, returning all elements that appear at least `min_success` times. """ results = {} for _ in range(num_tries): current = base_algorithm(sampler) ...
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from typing import Callable def compose2(f: Callable, g: Callable) -> Callable: """Compose two functions """ def h(*args, **kwargs): return f(g(*args, **kwargs)) return h
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def _escape_strings(strings): """escape to squarebracket and doublequote. >>> print(_escape_strings("hoge")) hoge >>> print(_escape_strings("[hoge")) \\[hoge >>> print(_escape_strings("hoge]")) hoge\\] >>> print(_escape_strings("[hoge]")) \\[hoge\\] >>> print(_escape_strings('[h...
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def strip_from_end(text, suffix): """ Strip a substring from the end of a string Parameters ---------- text : str The string to be evaluated suffix : str The suffix or substring to remove from the end of the text string Returns ------- str A string with the...
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import struct def _convert_unsigned(data, fmt): """Convert data from signed to unsigned in bulk.""" num = len(data) return struct.unpack( "{}{}".format(num, fmt.upper()).encode("utf-8"), struct.pack("{}{}".format(num, fmt).encode("utf-8"), *data) )
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def remove_object(objs, label, none_val=0): """Remove object specified by id value""" objs[objs==label]=none_val return True
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