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from bs4 import BeautifulSoup import requests def get_soup(url: str) -> BeautifulSoup: """Get an instance of BeautifulSoup for a specific url""" response = requests.get(url) if response.status_code != requests.codes.ok: print(f"url request error: response.status_code is {response.status_code}") ...
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def quaternion_upper_hemispher(q): """ The quaternion q and −q represent the same rotation be- cause a rotation of θ in the direction v is equivalent to a rotation of 2π − θ in the direction −v. One way to force uniqueness of rotations is to require staying in the “upper half” of S 3 . For examp...
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def get_leaf_artists(root_artist, matchfunc): """Return all the leaf artists. which Args: root_artist: Artist. matchfunc: callable: artist -> bool. Return: All the decendant Artists matched with `matchfunc`. Note ---- As you might notice, this class is similar to `...
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def intersect(hrect, r2, centroid): """ checks if the hyperrectangle hrect intersects with the hypersphere defined by centroid and r2 """ maxval = hrect[1, :] minval = hrect[0, :] p = centroid.copy() idx = p < minval p[idx] = minval[idx] idx = p > maxval p[idx] = maxval[idx] ...
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import re def remove_trailing_commas(json_like): """ Removes trailing commas from `json_like` and returns the result. Examples -------- >>> remove_trailing_commas('{"foo":"bar","baz":["blah",],}') '{"foo":"bar","baz":["blah"]}' """ trailing_object_commas_re = re.compile( r'(,...
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def is_method_of(method, obj): """Return True if *method* is a method of *obj*. *method* should be a method on a class instance; *obj* should be an instance of a class. """ # Check for both 'im_self' (Python < 3.0) and '__self__' (Python >= 3.0). cls = obj.__class__ mainObj = getattr(method...
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import os def make_fig_save_dirs(save_dir_root, pdf=False): """Create directories for saving figures in svg and png formats Args: save_dir_root (string): root directory for saving figures Returns: dir_svg (string): valid directory dir_png (string): valid directory ...
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import os def get_workflow_config_path(repo): """Returns the full path for the git workflow config file.""" return os.path.join(repo.git_dir, 'config_workflow')
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def callback(func): """ A decorator to add a keyword arg 'callback' to execute a method on the return value of a function Used to add callbacks to the API calls :param func: The function to decorate :return: The wrapped function """ def wrap(*args, **kwargs): callback_ = kwargs.po...
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def remove_dups_stringlist(str): """Remove duplicates from list as string""" arr = str.split(',') arr = list(dict.fromkeys(arr)) return ','.join(arr)
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import torch def dice_loss_norm(input, target): """ input is a torch variable of size BatchxnclassesxHxW representing log probabilities for each class target is a 1-hot representation of the groundtruth, should have same size as the input """ assert input.size() == target.size(), "Input sizes must...
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import os def files_in_current_dir(dir_name): """list all files in a dir. Args: dir_name (str): path to a dir Returns: list: files in a dir. """ return [os.path.abspath(os.path.join(dir_name, x)) for x in os.listdir(dir_name) if os.path.isfile(os.path.absp...
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def make_usage(template, command_map, alias_map): """Generate the usage doc based on configured commands and aliases""" def format_command_info(command_name): func = command_map[command_name] # Some commands (but not all) have aliases aliases = [k for k in alias_map.keys() if alias_map...
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import threading def setInterval(interval): """ Decorator generator. Calls the decorated methods every `interval` seconds. Args: interval (int): Period Returns: (function) Decorated Function. """ def decorator(function): """ Helper method. """ ...
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def save_group(batch_dir, group): """ make group directory and save group info. """ group_name = group["group_name"] group_dir = batch_dir / group_name group_dir.mkdir() # save group information info_file = group_dir / "group_info.txt" with open(info_file, "w") as info_f: in...
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def log2(instructions): """Integer only algorithm to calculate the number of bits needed to store a number""" bits = 1 power = 2 while power < instructions: bits += 1 power *= 2 return bits
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def codepipeline_approval(message): """Uses Slack's Block Kit.""" console_link = message['consoleLink'] approval = message['approval'] pipeline_name = approval['pipelineName'] action_name = approval['actionName'] approval_review_link = approval['approvalReviewLink'] expires = approval['expir...
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def fetch_intron(start, cigar): """ To retrieve the 'N' cigar :param start: :param cigar: :return: """ intronbound = [] for c, l in cigar: if c == 3: intronbound.append((start + 1, start + l)) start += l elif c == 1: continue ...
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def _formatted_hour_min(seconds): """Turns |seconds| seconds into %H:%m format. We don't use to_datetime() or to_timedelta(), because we want to show hours larger than 23, e.g.: 24h:00m. """ time_string = '' hours = int(seconds / 60 / 60) minutes = int(seconds / 60) % 60 if hours: ...
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from typing import Counter def number_of_pairs(gloves): """ Given an array describing the color of each glove, return the number of pairs you can constitute, assuming that only gloves of the same color can form pairs. Examples: input = ["red", "green", "red", "blue", "blue"] result = 2 (1 ...
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def Rmax_Q11(Vmax): """ Estimation of the radius of maximum wind according to the formula proposed by Quiring et al. (2011); Vmax and Rmax are in nautical miles. Expression herein converted in km""" Vm= Vmax * 0.5399568 Rmax = ((49.67 - 0.24 * Vm)) * 1.852 return Rmax
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def get_option_value(elem): """ Get the value attribute, or if it doesn't exist the text content. <option value="foo">bar</option> => "foo" <option>bar</option> => "bar" :param elem: a soup element """ value = elem.get("value") if value is None: value = elem.text....
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def scatter_scale(target, max_size=50.0): """Return a scaled list of sizes.""" result = target.apply(lambda x:max_size*(1-x)) return result
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def clearDiskCache(): """ clearDiskCache() -> None Clear the disk cache of all files. """ return None
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def EI(sections, normal=None): # {{{ """Calculate the bending stiffnes of a cross-section. The cross-section is composed out of rectangular nonoverlapping sections that can have different Young's moduli. Each section is represented by a 4-tuple (width, height, offset, E). The offset is the distan...
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def filter_labels_by_class(obj_labels, classes): """Filters object labels by classes. Args: obj_labels: List of object labels classes: List of classes to keep, e.g. ['Car', 'Pedestrian', 'Cyclist'] Returns: obj_labels: List of filtered labels class_mask: Mask of labels to k...
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def _update_entries(data_arr, first_one, second_one): """ Replaces 2 entries in the array, and returns the modified array. This only operates on arrays returned by the likes of _augment_array(). """ temp1 = data_arr[first_one] temp2 = data_arr[second_one] intended_index = temp2[0] - 1 ...
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def probably_reconstruction(file) -> bool: """Decide if a path may be a reconstruction file.""" return file.endswith("json") and "reconstruction" in file
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import re def error_086_ext_link_two_brackets(text): """Fix some cases and return (new_text, replacements_count) tuple.""" # case: [[http://youtube.com/|YouTube]] def _process_link(match_obj): """Deals with founded wiki-link.""" link = match_obj.group(1) name = match_obj.group(2) ...
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import re def get_ip(ip_str): """ input format: SH-IDC1-10-5-30-[137,152] or SH-IDC1-10-5-30-[137-142,152] or SH-IDC1-10-5-30-[152, 137-142] output format 10.5.30.137 """ # return ".".join(ip_str.replace("[", "").split(',')[0].split("-")[2:]) return ".".join(re.findall(r'\d+', ip_str)[1:5])
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from typing import Counter def check_author_count(counter: Counter) -> bool: """ Takes a set of documents and counts the number of authors. If less than 2, returns False otherwise True. :param counter: a Counter object for author counts. :return: a boolean indicating whether or not the document se...
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def default_destinations(iata_code_original_destination): """Get three default destinations different from original destination of query.""" # Paris, London, Rome, New York defaults = ['CDG', 'LHR', 'FCO', 'JFK'] if iata_code_original_destination in defaults: defaults.remove(iata_code_original_...
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def _ToCamelCase(name): """Converts hyphen-case name to CamelCase.""" parts = name.split('-') return ''.join(x.title() for x in parts)
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def tree_intersection(tree_one,tree_two): """[given two binarytrees as parameters returns the itersection of the trees values] Args: tree_one ([binarytree]): [description] tree_two ([binarytree]): [description] Returns: [list]: [intersection of trees] """ intersection = [] ...
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def name_records_summary(self): """ Count records for every name record. Args: mod_name (str): Return: None """ counts = {} for mod, records in self.records.items(): for rec in records: if rec['id'] not in counts: counts[rec['id']] = {...
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import hashlib def same_files(fname, fname2): """ Two files are the same if they have the same hash. :param fname String: The first filename. :param fname2 String: The second filename. """ try: hash1 = hashlib.sha512() with open(fname, 'rb') as fin: hash1.update(fi...
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import os import glob import itertools import re def get_machine_id_list_for_test(target_dir, dir_name="test", ext="wav"): """ target_dir : str base directory path of "dev_data" or "eval_data" test_dir_name : str (default="test") ...
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def line_animation(line, idx, limit=10, step=1): """ Animate long string """ line = line+' | ' line_start = 0 line_end = len(line) short_line_start = line_start+idx short_line_end = limit+idx short_line = line[short_line_start:short_line_end] add_line_end = abs(len(short_line)-limit) ...
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def format_date(value): """Return value as string.""" return_value = None if value: return_value = str(value) return return_value
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def bbox2points(bbox): """ From bounding box yolo format to corner points cv2 rectangle """ x, y, w, h = bbox xmin = int(round(x - (w / 2))) xmax = int(round(x + (w / 2))) ymin = int(round(y - (h / 2))) ymax = int(round(y + (h / 2))) return xmin, ymin, xmax, ymax
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def level_to_rgb(level, background): """ Converts internal consept of level to a gray color for text in RGB :param level: range from 1 to 15 :return: tuple referring to (R, G, B) """ #Level goes from 1 to 15, starting from level1:(30,30,30), and getting darker with 1 point if level not in ra...
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import os def extension(path: str) -> str: """ finds extension """ base_name = os.path.basename(path) name = os.path.splitext(base_name) extension = name[1] return extension
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def get_message_relay(celery_app): """ Function that return a celery task list. """ return celery_app.tasks['eduid_msg.tasks.send_message']
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import json def get_boxnote_text(filepath): """Convert a boxnote to plain text. Parameters: filepath (str): the path to the boxfile Returns: the text of the boxfile as a string """ f = open(filepath, encoding="utf8") text = json.loads(f.read())["atext"]["text"] f.close() return ...
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def func_args_realizer(args): """ Using an ast.FunctionDef node, create a items list node that will give us the passed in args by name. def whee(bob, frank=1): pass whee(1, 3) => [('bob', 1), ('frank', 3)] whee(1) => [('bob', 1), ('frank', 1)] """ items = map("('{0}', {0})".for...
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def categorical_log_prob(self, logits): """ torch RelaxedOneHotCategorical log_prob is weird (uses that of TransformedDistribution) need to use log_prob from base_dist instead """ return self.base_dist.log_prob(logits)
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from typing import Dict def filter_val_not_none(d: Dict) -> Dict: """ Return a new dictionary composed of all key-value pairs (k, v) in d where v is not None. :param d: original dictionary :return: d, without key-value pairs where value is None >>> filter_val_not_none({"a": 5, "b": 10, "c": None}...
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def get_card_ids(db) -> list: """ Gets a list of all card IDs in the datase. :return: List of card IDs. """ return db['cards'].distinct('_id')
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import time def datetime_to_integer(datetime): """Convert datetime object to integer value. 'datetime' is the datetime object""" return time.mktime(datetime.timetuple())
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import operator def sort_load_list_by_time(load_list): """Given the standard load list return a list orderd by time The list contains a tuple of the load_id and the actual load_set """ return sorted(load_list, key=operator.itemgetter(1))
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def crop_to_ratio(im, desired_ratio=4 / 3): """ Crop (either) the rows or columns of an image to match (as best as possible) the desired ratio. Arguments: im (np.array): Image to be processed. desired_ratio (float): The desired ratio of the output image expressed as width/...
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def grompp_npt(job): """Run GROMACS grompp for the npt step.""" npt_mdp_path = "npt.mdp" msg = f"gmx grompp -f {npt_mdp_path} -o npt.tpr -c em.gro -p init.top --maxwarn 1" return msg
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def uri_leaf(uri): """ Get the "leaf" - fragment id or last segment - of a URI. Useful e.g. for getting a term from a "namespace like" URI. >>> uri_leaf("http://purl.org/dc/terms/title") == 'title' True >>> uri_leaf("http://www.w3.org/2004/02/skos/core#Concept") == 'Concept' True >>> ur...
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import yaml def load_yaml_config(filename): """Load a YAML configuration file.""" with open(filename, "rt", encoding='utf-8') as file: config_dict = yaml.safe_load(file) return config_dict
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import uuid def build_request_body(method, params): """Build a JSON-RPC request body based on the parameters given.""" data = { "jsonrpc": "2.0", "method": method, "params": params, "id": str(uuid.uuid4()) } return data
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def part1(input_data): """ >>> part1(["939","7,13,x,x,59,x,31,19"]) 295 """ timestamp = int(input_data[0]) bus_ids = input_data[1].split(',') # Ignore bus_ids with 'x' bus_ids = map(int, filter(lambda bus_id: bus_id != 'x', bus_ids)) # (id, time_to_wait) # last_busstop = timestam...
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import uuid def read_bootid(): """ Mocks read_bootid as this is a Linux-specific operation. """ return uuid.uuid4().hex
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def list_group(flatten_list, offset_list): """list_flatten的逆操作""" pos_lists = [] for offset in offset_list: pos_lists.append(flatten_list[offset[0] : offset[1]]) return pos_lists
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import numpy def normalized(vector): """ Get unit vector for a given one. :param vector: Numpy vector as coordinates in Cartesian space, or an array of such. :returns: Numpy array of the same shape and structure where all vectors are normalized. That is, each coordinate compon...
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def sample_conditional_random(generator, m, n, **kwargs): """ Sample `m * n` points from condition space completely randomly. """ return generator.condition_distribution.sample(m * n).eval()
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import torch def fetch_optimizer(lr, wdecay, epsilon, num_steps, params): """ Create the optimizer and learning rate scheduler """ optimizer = torch.optim.AdamW(params, lr=lr, weight_decay=wdecay, eps=epsilon) scheduler = torch.optim.lr_scheduler.OneCycleLR(optimizer, lr, num_steps+100, pct_start...
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def load_bmrbm(table_fname, resname_col, atom_col, shift_col): """Load a BMRBM table and return a dictionary.""" bmrb_dic = {} with open(table_fname, "r") as bmrb_file: for line in bmrb_file.readlines(): # Split so that the whitespaces don't matter c_shift = line.split() ...
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def yp_raw_competitors(data_path): """ The file contains the list of business objects. File Type: JSON """ return f'{data_path}/yp_competitors.json'
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import re def to_num(string): """Convert string to number (or None) if possible""" if type(string) != str: return string if string == "None": return None if re.match("\d+\.\d*$", string): return float(string) elif re.match("\d+$", string): return int(string) ...
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def button_action (date, action, value) : """ Create a button for time-tracking actions """ ''"approve", ''"deny", ''"edit again" if not date : return '' return \ '''<input type="button" value="%s" onClick=" if(submit_once()) { document.forms.edit_...
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def get_tidy_invocation(f, clang_tidy_binary, checks, build_path, quiet, config): """Gets a command line for clang-tidy.""" start = [clang_tidy_binary] # Show warnings in all in-project headers by default. start.append('-header-filter=src/') if checks: start.append('-...
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def get_control_colors(): """ Returns control colors available in DCC :return: list(tuple(float, float, float)) """ return list()
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import torch def _pre_conv(input, weight, bias=None, stride=1, padding=0, dilation=1, groups=1): """ This is a block of local computation done at the beginning of the convolution. It basically does the matrix unrolling to be able to do the convolution as a simple matrix multiplication. Because al...
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def dataset_pre_0_3(client): """Return paths of dataset metadata for pre 0.3.4.""" project_is_pre_0_3 = int(client.project.version) < 2 if project_is_pre_0_3: return (client.path / 'data').rglob(client.METADATA) return []
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import copy def sanitize_slicing(slice_across, slice_relative_position): """ Return standardized format for `slice_across` and `slice_relative_position`: - either `slice_across` and `slice_relative_position` are both `None` (no slicing) - or `slice_across` and `slice_relative_position` are both lists,...
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def is_dependency_valid(dep: dict, dep_dict: dict) -> bool: """ :param dep: a dependency that may or may not be valid or up-to-date :param dep_dict: a dictionary mapping dependency identifiers to their up-to-date dependency counterparts :return: a boolean indicating whether the dependency is out-of-date...
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def equations(abs1, abs2, abs3, solvent): """Contains absorption constans (coef) and formulas.""" separator = "___________________________________________" coef = [[10.05, 0.97, 16.36, 2.43, 7.62, 15.39, 1.43, 35.87, 205], [9.93, 0.75, 16.23, 2.42, 7.51,15.48, 1.3, 33.12, 213], ...
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def get_traitset_map(pop): """ Utility method which returns a map of culture ID's (hashes) and the trait set corresponding to a random individual of that culture (actually, the first one we encounter). """ traitsets = {} graph = pop.agentgraph for nodename in graph.nodes(): tra...
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def prefix(txt, pref): """ Place a prefix in front of the text. """ return str(pref) + str(txt)
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def _fix_basebox_url(url): """ Kinda fix a basebox URL """ if not url.startswith('http'): url = 'http://%s' % url if not url.endswith('/meta'): url += '/meta' return url
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def isinstance_all(iterable, class_or_tuple): """ Check if all items of an iterable are instance of a class ou tuple of classes >>> isinstance_all(['Hello', 'World'], str) True >>> isinstance_all([1, 'Hello'], (str, int)) True >>> isinstance_all([True, 'Hello', 5], int) False ""...
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import os def root_dir(): """ find the root directory for web static files Returns: root path for static files """ return os.path.join( os.path.join( os.path.dirname(os.path.dirname(__file__)), "web" ), "static" )
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import imp import sys def main_is_frozen(): """Return ``True`` if we're running from a frozen program.""" return ( # new py2exe hasattr(sys, "frozen") or # tools/freeze imp.is_frozen("__main__"))
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import sys def create_nonce(context, ag): """ Creates a nonce to this actor for passing to the second actor; the second actor will use the nonce to message back to the first actor. :param context: :return: """ try: rsp = ag.actors.addNone() except Exception as e: print(...
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import random def make_data(n,m): """make_data: prepare matrix of m times n random processing times""" p = {} for i in range(1,m+1): for j in range(1,n+1): p[i,j] = random.randint(1,10) return p
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def to_gigabytes(number): """Convert a number from KiB to GiB This is used mainly for the gauge, everything else uses the dynamic `unit` function. """ return number / 1024 ** 2
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import torch def differential(f, A, E): """ Computes the differential of f at A when acting on E: (df)_A(E) """ n = A.size(0) M = torch.zeros(2*n, 2*n, dtype=A.dtype, device=A.device, requires_grad=False) M[:n, :n] = A M[n:, n:] = A M[:n, n:] = E return f(M)[:n, n:]
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def get_distance(vectors): """[Calculate the euclidian distance between two vectors, represented as columns in a DataFrame.] Args: vectors ([DataFrame]): [DataFrame containing the two columns representing the vectors.] Returns: [Float]: [Euclidian distance of the vectors.] ...
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import tarfile import pathlib def _strip_paths(tarinfo: tarfile.TarInfo) -> tarfile.TarInfo: """Ensure source filesystem absolute paths are not reflected in tar file.""" original_path = pathlib.Path(tarinfo.name) tarinfo.name = f"{original_path.name}" return tarinfo
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def sequentially_executed(nb): """Return True if notebook appears freshly executed from top-to-bottom.""" exec_counts = [ cell["execution_count"] for cell in nb.get("cells", []) if ( cell["source"] and cell.get("execution_count", None) is not None ) ] ...
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def my_func_3(x, y): """ Возвращает возведение числа x в степень y. Именованные параметры: x -- число y -- степень (number, number) -> number >>> my_func_3(2, 2) 4 """ if y < 0: r = 1.0 for _ in range(abs(y)): r *= x r = 1 / r return...
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def flavors_ram(nova): """Get a dict of flavor IDs to the RAM limits. :param nova: A Nova client. :return: A dict of flavor IDs to the RAM limits. """ return dict((str(fl.id), fl.ram) for fl in nova.flavors.list())
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import re def re_cap(*regexes): """ Capture first of the supplied regex :param regexes: list or regex strings :return: captured string | None """ def go(string): for reg in regexes: matches = re.search(reg, string) if matches: return matches.grou...
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def score2act(score): """ Convert the Z-score predicted by PADDLE to a fold-activation value. Only useful as a rough reference for activation in S. cerevisiae, as the fold-activation will vary between different experimental conditions. """ return 1.5031611623938073**score
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import os import shutil def make_saliency_dir(date_time: str) -> str: """Make directories for saving saliency map result.""" save_dir = f"./data/saliency_map/{date_time}" if os.path.exists(save_dir): shutil.rmtree(save_dir) os.makedirs(save_dir) os.makedirs(f"./data/saliency_map/{date_time...
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import os import time def intro(): """intro screen, self explanatory""" os.system('clear') print("\n\n Welcome to the grand game of 'Mushroom Picking'!\n\n") time.sleep(1) print("""'Tales border on the thin line between reality and myth' - Mc' Dingus\n\n You wake up in your wooden shed, t...
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def make_grpc_unary_method(channel, service_name, method_descriptor, symbol_database_instance): # type (Channel, str, MethodDescriptor, Any) -> Callable """Make grp callable on the channel. Args: channel: grpc channel service_name: name of service method_descriptor: method descripto...
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def set_crs(gdf, crs): """ Set CRS in GeoDataFrame when current projection is not defined. Parameters ---------- gdf : geopandas.GeoDataFrame the geodataframe to set the projection Returns ------- gdf : geopandas.GeoDataFrame the ge...
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def dataset_type(dataset): """ Parameters ---------- dataset : dataset script object Returns ------- str : The type of dataset. Example ------- >>> for dataset in reload_scripts(): ... if dataset.name=='aquatic-animal-excretion': ... print(dataset_type(datas...
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def GetDistinguishableNames(keys, delimiter, prefixes_to_remove): """Reduce keys to a concise and distinguishable form. Example: GetDistinguishableNames(['Day.NewYork.BigApple', 'Night.NewYork.BigMelon'], '.', ['Big']) results in {'Day.NewYork.BigApple': 'Day.Apple', ...
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import binascii import re def humanhexlify(data, n=-1): """Hexlify given data with 1 space char btw hex values for easier reading for humans :param data: binary data to hexlify :param n: If n is a positive integer then shorten the output of this function to n hexlified bytes. Input like 'ab\x...
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import re def yes_workload_no_snippet_target_line(patterns, painted_lines, split_text): """Find line to use for scan process in yes workload, no code snippet use case""" faultable_line_list = [] faultable_line_number_list = [] for line_number in painted_lines: detected_parts_list_line = split...
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def make_arc_consistent(Xj, Xk, csp): """Make arc between parent (Xj) and child (Xk) consistent under the csp's constraints, by removing the possible values of Xj that cause inconsistencies.""" # csp.curr_domains[Xj] = [] for val1 in csp.domains[Xj]: keep = False # Keep or remove val1 f...
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import sys def task_batch_local(): """Run batch mode locally""" return { 'basename': 'batchLocal', 'actions': ["%s -m surround_tensorboard_example --mode batch" % sys.executable] }
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import os def make_bin_path(base_path, middle=None): """Creates a path to the data binaries.""" if base_path[-1] == "/": base_path = base_path[:-1] if middle is None: base_path = os.path.join(f'{base_path}-bin') else: base_path = os.path.join(f'{base_path}-bin', middle) ret...
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