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def get_matrix_or_template_parameters(cli_args): """ cifti_conn_matrix and cifti_conn_template both have the same required parameters, with only a few exceptions. This function returns a list of all parameters required by both scripts. :param cli_args: Full argparse namespace containing all CLI args...
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def TR4(rv): """Identify values of special angles. a= 0 pi/6 pi/4 pi/3 pi/2 ---------------------------------------------------- cos(a) 0 1/2 sqrt(2)/2 sqrt(3)/2 1 sin(a) 1 sqrt(3)/2 sqrt(2)/2 1/2 0 tan(a) 0 sqt(3)/3 1 sq...
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import argparse def parse_args(): """Process input arguments""" parser = argparse.ArgumentParser(description=__doc__, formatter_class=argparse.ArgumentDefaultsHelpFormatter) parser.add_argument('vcf', metavar='V', help="VCF file") parser.add_argument('--filter', ...
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import time import logging def get_set_num_ruptures(src): """ Extract the number of ruptures and set it """ if not src.num_ruptures: t0 = time.time() src.num_ruptures = src.count_ruptures() dt = time.time() - t0 clsname = src.__class__.__name__ if dt > 10: ...
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def icalevent2item(event): """icalendarイベントからjson用itemを取得する. Arguments: event {Event} -- icalendarイベント Returns: dict -- json用item """ item = dict() summary = event.decoded('SUMMARY').decode() last_paren = summary.rfind('(') race_name = summary[:last_paren] item['Na...
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from typing import Tuple import subprocess def run_in_shell(cmd: str) -> Tuple[bool, str]: """ Run given command in the shell and return result of the command. Usually a malformed command or error in the executed code will result in the CalledProcessError and then that message is shown. During develo...
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import os def make_path(path: str) -> str: """Make directory. Args: path (str): Path to be made if it doesn't exist. Returns: path (str) """ if not os.path.exists(path): os.makedirs(path) return path
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import sys import argparse def color(value): # type: (str) -> bool """Strict converter for color option.""" if value == 'yes': return True if value == 'no': return False if value == 'auto': return sys.stdout.isatty() raise argparse.ArgumentTypeError(f"invalid choice: '{...
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import os import time import requests def retrieve_order(outdir: str, order_url: str): """ Download the order :param outdir: Full path to the order download folder :param order_url: Order download URL :return: """ order_id = order_url.split("/")[-1] if not os.path.exists(outdir): ...
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def _format_training_params(params): """Convert dict pof parameters to the CLI format {"k": "v"} --> "--k v" Args: params (dict): Parameters Returns: str: Command line params """ outputs = [] for k, v in params.items(): if isinstance(v, bool): if v: ...
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import os def tail(filename, nlines): """ Read the last nlines of a text file """ with open(filename) as qfile: qfile.seek(0, os.SEEK_END) endf = position = qfile.tell() linecnt = 0 while position >= 0: qfile.seek(position) next_char = qfile.read(1) ...
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def valid_parentheses_brackets(input_string: str) -> bool: """ Determine whether the brackets, braces, and parentheses in a string are valid. Works only on strings containing only brackets, braces, and parentheses. Explanation: https://www.educative.io/edpresso/the-valid-parentheses-problem :param...
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import os def clear_directory(path): """ clear the dir of path :param path: :return: """ if not os.path.exists(path): os.mkdir(path) try: cmd = 'rm %s/*' % path print(cmd) os.popen(cmd) except Exception as e: print("error: %s" % e) return...
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def do_chars_exist_in_db(conn, mal_id: int) -> bool: """ Args: conn ([type]): database connection mal_id (int): myanimelist id Returns: bool: returns true if there are character records for anime id """ with conn: with conn.cursor() as cursor: query = """...
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def id_to_ec2_id(instance_id, template='i-%08x'): """Convert an instance ID (int) to an ec2 ID (i-[base 16 number])""" return template % instance_id
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def buildnavcell(prefix, dateString, mouseoverImg, mouseoutImg, name): """Build the HTML for a single navcell. prefix -- the string to tack on to the front of the anchor name dateString -- the date, as a string, to be used in the anchor name mouseoverImg -- name of the image to be displayed on mouseove...
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import os import json import pprint def read_filter_params(file_path:str,file_name:str="filter.json",filter_str=None,metadata=False,verbose=False): """ reads filter parameter file from json will read only the first filter entry of the first category if filter_str is None otherwise it will look ei...
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def calc_prob_sr(pt, sl, freq, tgt_sr, rf=0.): """Calculate required probability wrt target SR Paramters --------- pt: float Profit Take sl: float Stop Loss freq: float Frequency of trading tgt_sr: float Target Sharpe Ratio rf: float, (default 0) ...
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import sqlite3 def get_brand_stats(db_file_name, table_name): """Calculate brand stats of collection""" conn = sqlite3.connect(db_file_name) c = conn.cursor() c.execute('''SELECT brand, count(brand) FROM {} GROUP BY brand'''.format(table_name)) brand_dict = {} results = c.fetchall() for ...
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def encode(integer: int) -> bytes: """Encodes an integer as an uvarint. :param integer: the integer to encode :return: bytes containing the integer encoded as an uvarint """ def to_byte(integer: int) -> int: return integer & 0b1111_1111 buffer: bytearray = bytearray() while intege...
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import requests def request_html(url, method='GET', headers=None, proxies=None): """ send request :param url: :param method: :param headers: :param proxies: :return: """ resp = None try: r = requests.request(method, url, headers=headers, proxies=proxies) if r.st...
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from typing import Dict from typing import Any import json import base64 def extract_pubsub_payload(event: dict) -> Dict[str, Any]: """Extracts payload from the PubSub event body. Args: event: PubSub event body, e.g. { "message": { "data": <base64 encod...
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def sort_ortholog_information(faa_defs, faa_seqs): """Group contig name with start and stop""" first_species_defs = [] second_species_defs = [] first_species_seqs = [] second_species_seqs = [] for x, i in enumerate(faa_defs): if x%2==0: first_species_defs.append(i) ...
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def extract_column_names(file_lines): """ Return a list of tuples containing column names and its respective index. Mutates the file lines list by extracting first element (first row of data file) """ column_names = file_lines.pop(0) column_names = column_names.rstrip().split("\t") column_names = list(enumerate(col...
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import io def parse_aliases_file(file_path): """ Parses an emoji aliases text file. Returns a list of tuples in the form ('src_name', 'dst_name'). """ with io.open(file_path, encoding='utf-8') as fp: lines = fp.read().splitlines() aliases_list = [] for line in lines: line ...
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def make_goal(func): """Decorator that turns a function of the form f(Substitution, ...) into a goal-creating function. For example: @make_goal def same(s, u, v): ... is equivalent to def same(u, v): def goal(s): ... return go...
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def _bb_has_tight_loop(f, bb): """ parse tight loops, true if last instruction in basic block branches to bb start """ return bb.offset in f.blockrefs[bb.offset] if bb.offset in f.blockrefs else False
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from platform import python_compiler def python_version(name): """ Get compiler version used in Python. Parameters ---------- name : str Compiler name. Returns ------- float: version """ version_str = python_compiler() if name not in version_str.lower(): ...
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def get_table_rows(soup): """ Get all table rows from the first tbody element found in soup parameter """ tbody = soup.find('tbody') return [tr.find_all('td') for tr in tbody.find_all('tr')]
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import re def slug_to_name(slug): """simple function that transforms a slug to a name args: string name -- the name to be converted """ return re.sub('-', ' ', slug)
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def topleft2corner(topleft): """ convert (x, y, w, h) to (x1, y1, x2, y2) Args: center: np.array (4 * N) Return: np.array (4 * N) """ x, y, w, h = topleft[0], topleft[1], topleft[2], topleft[3] x1 = x y1 = y x2 = x + w y2 = y + h return x1, y1, x2, y2
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def crop(im, slices=(slice(100, -100), slice(250, -300))): """Crop an image to contain only plate interior. Parameters ---------- im : array The image to be cropped. slices : tuple of slice objects, optional The slices defining the crop. The default values are for stitched i...
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import importlib def internal_load_class(data: dict): """ For internal use only. """ if not isinstance(data, dict): raise ValueError("Given parameter not a dict object.") if "type" in data: try: klass = None if data["type"].endswith("Token"): ...
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def _get_groupings(input_df): """Return groupings of table data based on filled/empty columns.""" input_cols = list(input_df.columns) # change any NAs to blank strings (this might cause TypeErrors !) input_df = input_df.fillna("") # Create a DF with True if a col value is blank blank_cols = inpu...
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def build_speech_response(title, ssml_output, plain_output): """Build a speech JSON representation of the title, output text, and end of session.""" # In this app, the session always ends after a single response. return { 'outputSpeech': { 'type': 'SSML', 'ssml': ssml_output...
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def bin2hex(s): """ bin2hex 二进制 to 十六进制: hex(int(str,2)) :param s: :return: """ padding_length = (8 - len(s) % 8) % 8 # 从前往后解码,不足8个的,在后面补0 encode_str = '%s%s' % (s, '0' * padding_length) # 解码后是 0xab1234,需要去掉前面的 0x return hex(int(encode_str, 2))[2:].rstrip('L')
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def check_input(fit_function): # pylint: disable=no-self-argument """Check fit input args.""" def wrapper(obj, pk, k=None): pk = obj.check_pk(pk) k = obj.check_k(k) return fit_function(obj, pk, k=k) return wrapper
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import copy def nondimensionalise_parameters(params): """ Nondimensionalise parameters. Arguments --------- rc : float Characteristic radius (length) qc : float Characteristic flow Ru : float Upstream radius Rd : float Downstream radius L : float ...
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def qtr_offset(qtr_string, delta=-1): """ Takes in quarter string (2005Q1) and outputs quarter string offset by ``delta`` quarters. """ old_y, old_q = map(int, qtr_string.split('Q')) old_q -= 1 new_q = (old_q + delta) % 4 + 1 if new_q == 0: new_q = 4 new_y = old_y + (old_q + ...
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from zlib import decompress from base64 import b64decode def decompress_string(string: str) -> str: """ Decompress a UTF-8 string compressed by compress_string :param string: base64-encoded string to be decompressed :return: original string """ # b64 string -> b64 byte array -> compressed by...
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def create_dense_state_space_columns(optim_paras): """Create internal column names for the dense state space.""" columns = list(optim_paras["observables"]) if optim_paras["n_types"] >= 2: columns += ["type"] return columns
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def calculate_overall_score( google_gaps_percentage: float, transcript_gaps_percentage: float, google_confidence: float, alignment_score: float, weight_google_gaps: float, weight_transcript_gaps: float, weight_google_confidence: float, weight_alignment_score: float ) -> float: ""...
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def toIndex(coord, size): """ Coordinate to index """ return coord[0] * size * size + coord[1] * size + coord[2]
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def scal(u, v): """Retourne le produit scalaire u.v """ return sum([u[i]*v[i] for i in range(len(u))])
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def recursive_thue_morse(n): """The recursive definition of the Thue-Morse sequence. The first few terms of the Thue-Morse sequence are: 0 1 1 0 1 0 0 1 1 0 0 1 0 1 1 0 . . .""" if n == 0: return 0 if n % 2 == 0: return recursive_thue_morse(n / 2) if n % 2 == 1: return 1 - r...
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from typing import Dict def add_information(statistic_dict: Dict, statistic_information: Dict): """ Add information to existing dict. Arguments: statistic_dict {Dict} -- Existing dict. statistic_information {Dict} -- Data to add. """ statistic_dict["dates"].append(statistic_inform...
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def flip_edges(adj, edges): """ Flip the edges in the graph (A_ij=1 becomes A_ij=0, and A_ij=0 becomes A_ij=1). Parameters ---------- adj : sp.spmatrix, shape [n, n] Sparse adjacency matrix. edges : np.ndarray, shape [?, 2] Edges to flip. Returns ------- adj_flipped ...
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import socket def _check_ip_and_port(ip_address, port, timeout): """Helper function to check if a port is open. Args: ip_address(str): The IP address to be checked. port(int): The port to be checked. timeout(float): The timeout to use. Returns: bool: True if a connection ...
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def pretty_eqdmr(eqdmr): """Returns an executable QDMR program in a compositional manner Parameters ---------- eqdmr : str string representation of the executable QDMR Returns ------- bool return True """ tab_count = 0 pretty_represenation = '' for i in range(len(eqdmr)): if e...
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def _add_thumb(s): """ Modifies a string (filename, URL) containing an image filename, to insert '.thumb' """ parts = s.split(".") parts.insert(-1, "thumb") if parts[-1].lower() not in ['jpeg', 'jpg']: parts[-1] = 'jpg' return ".".join(parts)
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from typing import Any import asyncio import inspect def is_coroutine(obj: Any) -> bool: """Check to see if an object is really an asyncio coroutine. :param Any obj: any object. :return: `True` or `False`. """ return asyncio.iscoroutinefunction(obj) or inspect.isgeneratorfunction(obj)
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import csv def recuperer_donnee_csv(fichier, separateur=','): """ cree une liste de liste contenant les donnees de fichier Parameters ---------- fichier : string chemin du fichier csv a lire ce fichier ne doit contenir que des float. separateur : string, optional strin...
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import os def get_connection_file(): """ --------------------------------------------------------------------------- Gets (and creates, if necessary) the auto-connection file. If the environment variable 'VERTICAPY_CONNECTIONS' is set, it is assumed to be the full path to the auto-connection file. Otherwise, we ...
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import torch def compute_hessian(f, params): """Compute hessian matrix of given function.""" h = [] for i in params: h_i = [] for j in params: grad = torch.autograd.grad(f, j, create_graph=True) h_ij = torch.autograd.grad(grad, ...
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import os def makedoedict(str1): """makedoedict""" blocklist = str1.split('..') blocklist = blocklist[:-1]#remove empty item after last '..' blockdict = {} belongsdict = {} for num in range(0, len(blocklist)): blocklist[num] = blocklist[num].strip() linelist = blocklist[num].sp...
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import re def format_docstring(docstring): """Formats a docstring. Any leading # will be converted to #### for formatting consistency. # args - docstring -str: the dosctring to be formatted. """ if isinstance(docstring, str): result = re.sub(r'^#+ ?', '#### ', docstring, flags=re.MULT...
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def get_id_name(module, id_to_check): """Return the ID name if defined, otherwise return the numbered ID.""" for name in module.symbol_name_to_id: if module.symbol_name_to_id[name] == id_to_check: return name return str(id_to_check)
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def rect_radius(ellipsoid): """ Computes the Rectifying Radius of an Ellipsoid with specified Inverse Flattening (See Ref 2 Equation 3) :param ellipsoid: Ellipsoid Object :return: Ellipsoid Rectifying Radius """ nval = (1 / float(ellipsoid.inversef)) / (2 - (1 / float(ellipsoid.inversef))) ...
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import os def normalizePath(path): """Normalize the path given. All slashes will be made the same (and doubles removed) The real case as stored on the file system is recovered. Returns None on error. """ # normalize path = os.path.abspath(path) # make sure it is defined from the drive up...
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def endgame_score_connectfour_faster(board, is_current_player_maximizer) : """Given an endgame board, returns an endgame score with abs(score) >= 1000, returning larger absolute scores for winning sooner.""" chains_1 = board.get_all_chains(current_player=is_current_player_maximizer) chains_2 = board.get...
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def ip_as_int(ip_address): """convert dot notation to int. """ parts = [int(x) for x in ip_address.split(".")] return (parts[0] << 24) + (parts[1] << 16) + (parts[2] << 8) + parts[3]
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import types def dump_packages(): """ Function that will return a list of packages that have been loaded and their version numbers. This function will ignore system packages: sys, __builtins__, types, os as well as modules with no version. This is not wo...
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def padding_size(length: int, block_size: int, ceil: bool = True) -> int: """Return minimum the multiple which is large or equal than the `length` Args: block_size (int): the length of bytes, no the length of bit """ remainder = length % block_size if ceil: return (block_size - rem...
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from typing import Any def _is_simplekv_key_value_store(obj: Any) -> bool: """ Check whether ``obj`` is the ``simplekv.KeyValueStore``-like class. simplekv uses duck-typing, e.g. for decorators. Therefore, avoid `isinstance(store, KeyValueStore)`, as it would be unreliable. Instead, only roughly ...
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import typing def list_difference(list_a, list_b) -> typing.List: """ Function that returns difference between given two lists. """ # Returning. return [element for element in list_a if element not in list_b]
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def check_ranges(cpe_item, version): """ According to the specification, CPE uses also ranges with the keywords 'version[Start|End][Including|Excluding]'. This way it specifies ranges of versions which are affected by the CVE, for example versions from 4.0.0 to 4.5.0. :param cpe_item: cpe data ...
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def CStringIo_to_String(string_io_object): """Converts a StringIO.StringIO object to a string. Inverse of String_to_CStringIo""" return string_io_object.getvalue()
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def is_valid_response(resp): """ Validates a Discovery response Fail if a failure response was received """ return resp.get("result") != "failure"
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import struct def _pack(pv, chksum, box_data, party_data): """Pack Pokémon data into a PKM file. Keyword arguments: pv (int) -- the Pokémon's personality value chksum (int) -- the data's checksum data (string) -- the Pokémon data """ chunks = [ struct.pack('<L', pv), '\x0...
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def is_valid_provider(user_input: str, static_provider: str) -> bool: """ Validate a user's provider input irrespectve of case """ try: return user_input.lower() == static_provider.lower() except AttributeError: return False
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def print_diff(a1,a2): """ Print not similar elements """ diff = [] for i in a1: if a2.count(i) == 0: diff.append(i) for i in a2: if a1.count(i) == 0: if diff.count(i) == 0: diff.append(i) return diff
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import sys import inspect def fident(f): """ Get an identifier for a function or method """ joinchar = "." if hasattr(f, "im_class"): fparent = f.im_class.__name__ else: joinchar = ":" fparent = f.__module__.split(".")[-1] # sometimes inspect.getsourcelines() segfa...
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import ntpath import os def split_path(filepath): """Splits a file path into folder path, file name and extension""" head, tail = ntpath.split(filepath) filename, extension = os.path.splitext(tail) return head, filename, extension
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def rateTSCan(params: dict, states: dict) -> float: """ Temperature Sum [oC d] TSCan is set from negative in the vegetative phase and to 0oC d at the start of the generative phase (i.e. the first fruit set). When TSCan exceeds 0 oC d, the carbohydrate distribution to the fruits increases li...
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import requests def get_from_api(url, *, verbose=False): """ Performs GET request to URL with the ProPublica API Key header """ vprint = lambda *a, **kwa: print(*a, **kwa) if verbose else None with open("APIKey.txt", "r") as keyFile: apiKey=keyFile.readline() if apiKey[-1] == '\n': ...
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import json def json_querystring(query_string, sort=None): """Generate the JSON data for a query_string query.""" query_dict = {'query': {'query_string': query_string}} if sort: query_dict['sort'] = sort return json.dumps(query_dict)
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def get_total_timings(results, env, overhead_time): """ Sum all timings and put their totals in the env """ total_framework_time = 0 total_strategy_time = 0 total_compile_time = 0 total_verification_time = 0 total_kernel_time = 0 if results: for result in results: if 'fra...
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import re def _get_vfab_pprofile_index(vfab_id, pprofile, mac_address, running_config): """Gets the index for vfab pprofile.""" index = None match = re.search( r"^vfab\s+{vfab_id}\s+pprofile\s+(\d+)\s+" r"vsiid\s+mac\s+{mac}\s+{pid}\b".format( vfab_id=vfab_id, mac=mac_address,...
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import re def check_no_splcharacter(test): """Check the string ``test`` have no special character listed below. :param test: :return: """ # noinspection RegExpRedundantEscape string_check = re.compile('[@!#$%^&*()<>?/\|}{~:]') if string_check.search(test) is None: return True ...
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def _get_nc_attr(var, attr, default=""): """ _get_nc_attr This function, looks inside a netCDF 4 Dataset object for the attributes of a variable within the object. If the attribute specified for the variable exists then the attribute is returned. If the attribute is not associated with the variabl...
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def shift_origin_dict(dictionary1, origin_list): """ New version of "new_origin" used for dictionaries. Shifts all coordinates of the elements in the model by the number given in origin_list. Returns the model with all items shifted according to new origin. """ new_dict = {} for (x_co, y_co,...
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def trivial(array: list, lenght: int) -> int: """Get the maximum minimum using a trivial solution""" maximum = min(array[:lenght]) for i in range(len(array) - lenght + 1): minimum = min(array[i : lenght + i]) maximum = max(maximum, minimum) return maximum
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import argparse def parseargs(): """"parse the arguments""" parser = argparse.ArgumentParser(description='Decodes the content of a pcap file', epilog="Usually used to extract the file data from the a network trace (pcap) file. Remember last option wins.") parser.add_argument('-i', '--in', dest='input_file', requir...
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def chr_or_input(m): """Return ascii character for the ordinal or the original string.""" i = int(m.groups()[0]) if i > 31 and i < 128: return chr(i) else: return "__%d__" % i
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import requests import json def yelp_search(api_key, params): """ Makes an authenticated request to the Yelp API api_key: read text file containing API key parameters: term: keywords to search (tacos, etc.) location: location keywords (Seattle, etc.) Returns JSON """ search...
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def get_valid_image_ranges(experiments): """Extract valid image ranges from experiments, returning None if no scan""" valid_images_ranges = [] for exp in experiments: if exp.scan: valid_images_ranges.append(exp.scan.get_valid_image_ranges(exp.identifier)) else: valid_...
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def isc_250m_to_1km ( i_sc_250m ) : """ return the 1km grid index cross track of a 250m pixel """ return i_sc_250m / 4.
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import re def extract_fasta_id(seqIdString): """ Extract the id in the fasta description string, taking only the characters till the '|'. """ seqId = None regex1 = re.compile(r'^\s*?([^|]+?)(\s|\||$)') seqIdSearch = re.search(regex1, seqIdString) if seqIdSearch: seqId = seqIdSearch...
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def compile_vprint_function(verbose): """Compile a verbose print function Args: verbose (bool): is verbose or not Returns: [msg, *args]->None: a vprint function """ if verbose: return lambda msg, *args: print(msg.format(*args)) return lambda *_: None
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from typing import Callable def custom_splitter(separator: str) -> Callable: """Custom splitter for :py:meth:`flatten_dict.flatten_dict.unflatten()` accepting a separator.""" def _inner_custom_splitter(flat_key) -> tuple[str, ...]: keys = tuple(flat_key.split(separator)) return keys retu...
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import pathlib def explore_directories(path_dict: dict): """ Recursively explores any path binded to a key in `path_dict` eg: | root |deadbeef |file1.txt |colosseum | battle.rst |face |file2.jpg >...
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def get_required_capacity_types_from_database(conn, scenario_id): """ Get the required type modules based on the database inputs for the specified scenario_id. Required modules are the unique set of generator capacity types in the scenario's portfolio. :param conn: database connection :param sc...
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def radius_sonic_point(planet_mass, sound_speed_0): """ Radius of the sonic point, i.e., where the wind speed matches the speed of sound. Parameters ---------- planet_mass (``float``): Planetary mass in unit of Jupiter mass. sound_speed (``float``): Constant speed of sound ...
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def sampling_points_matsubara(b, whichl): """Computes "optimal" sampling points in Matsubara domain for given basis""" return b.sampling_points_matsubara(whichl)
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def _process_type(type_): """Process the SQLAlchemy Column Type ``type_``. Calls :meth:`sqlalchemy.sql.type_api.TypeEngine.compile` on ``type_`` to produce a string-compiled form of it. "string-compiled" meaning as it would be used for a SQL clause. """ return type_.compile()
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import pathlib import typing def _get_file_format_id(path: pathlib.Path, file_format: typing.Optional[str]) -> str: """Determine the file format for writing based on the arguments.""" formats = { "yaml": path.name.endswith((".yml", ".yaml")), "toml": path.name.endswith(".toml"), "json"...
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from typing import Union from pathlib import Path def find_path_of_common_folder(files) -> Union[None, Path]: """finds a common path in a list of files""" fparts = [Path(f).resolve().parts for f in files] maxlen = len(max(fparts, key=lambda x: len(x))) minlen = len(min(fparts, key=lambda x: len(x)))...
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def async_partial(coro, *added_args, **added_kwargs): """ Like functools.partial(), but for coroutines. """ async def wrapped(*args, **kwargs): return await coro(*added_args, *args, **added_kwargs, **kwargs) return wrapped
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def read_paralogs_log(paralog_log_file): """Get list of paralogous gene-chains.""" f = open(paralog_log_file) gene_chains = [x for x in f.read().split("\n") if x != ""] f.close() return set(gene_chains)
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def remove_common_elements(package_list, remove_set): """ Remove the common elements between package_list and remove_set. Note that this is *not* an XOR operation: packages that do not exist in remove_set (but exists in remove_set) are not included. Parameters ---------- package_list : lis...
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