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def despecced(text): """ Args: text (str): Text of form <name>==<version>, or just <name> Returns: (str, str | None): Name and version """ version = None if text and "==" in text: text = text.strip() i = text.index("==") version = text[i + 2:].strip() or ...
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def read_file(filename: str, mode: str = "r") -> str: """Read content from a file.""" with open(filename, mode) as file: file_content = file.read() return file_content
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def map_keys(func, dictionary: dict) -> dict: """ Map the keys of a dict """ return { func(key):value for key, value in dictionary.items()}
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import pkg_resources def get_nmdc_schema_package_version() -> str: """ Returns the version of the nmdc_schema package. Returns ------- str The version of the nmdc_schema package. """ return pkg_resources.get_distribution("nmdc_schema").version
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def find_all(tofind, string): """Returns number of times a certain substring is found""" found = [i for i in range(len(string)) if string.startswith(tofind, i)] num_found = len(found) return num_found
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def standardize_water(mol_traj): """Ensure that a water molecule has the correct MDTraj Topology. The PDB format doesn't require CONECT records for a water molecule, but MDTraj correctly recognize water molecules bonds only if they adopt specific residue and atom names. This function standardize th...
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def episode_stats(env, policy): """ Gather Episode Statistics - Just for Taxi Environment Args: env: ai gym environment policy: policy object with sample() method """ obs = env.reset() observes, actions, rewards = [], [], [] done = False illegal_action_count = 0 success_...
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def tri_reflect_x(a, b, c): """Reflects the given triangle through the y-axis and returns the co-ordinates of the new triangle""" return (c, b, a)
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def combine_to_id64(system, body): """ Combines a system ID64 and body ID to create an ID64 representing that body Args: system: An ID64 representing a system body: A zero-indexed body ID Returns: A combined ID64 representing the specified body within the specified system """ return (system & (...
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def _sorted_list(iterable, reverse=False): """ Transform an iterable to a sorted list. """ a = list(iterable) a.sort() if reverse: a.reverse() return a
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def count_file_lines(filename): # Might be a bit faster with a call to "wc -l" """ Count the number of lines in a given file """ i = 0 with open(filename) as f: for i, _ in enumerate(f, 1): pass return i
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def session_id_header(request): """Returns the HTTP_MU_SESSION_ID header from the given request""" return request.headers.get('MU_SESSION_ID')
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def to_bool(value: str) -> bool: """ Converts a string argument to the bool representation (or throws a ValueError if the value is not one of '[Tt]rue' or '[Ff]alse'. """ if value in ["True", "true", True]: return True if value in ["False", "false", False]: return False raise...
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def mask(n: int) -> int: """ Return a bitmask of length n. >>> bin(mask(5)) '0b11111' """ return (2 << (n - 1)) - 1 if n >= 0 else 0
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import torch def pairwise_squared_distance_matrix(x): """Pairwise squared distance among a matrix's rows. This saves a bit of computation vs. using cross_squared_distance_matrix(x,x) Args: x: `[n, d]` float `Tensor` Returns: squared_dists: `[n, n]` float `Tensor`, where squa...
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def get_dashboard_choices(api_response): """ Given a response from the Grafana API, find a list of dashboard name choices :param api_response: response data from the Grafana API :return: list of dashboard URIs and names """ return [(dash['uri'], dash['title']) for dash in api_response]
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def turn(facing, direction): """Returns the new facing given a cardinal facing and a left/right direction""" clockwise = "NESW" if direction == "L": facing = clockwise[(clockwise.index(facing) - 1) % 4] if direction == "R": facing = clockwise[(clockwise.index(facing) + 1) % 4] return...
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def sign_in_handler(sender, message, bot_id, app_id): """Return attendance google form""" if '!attendance' in message: return "https://docs.google.com/forms/u/0/d/e/1FAIpQLScYQDbMuOAH4EVpUlCAPxRhmPMJGXoYnR0Loo3fIrDzp6ZgTg/formResponse" return None
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def calc_diff(frame0, frame1): """ Calculates the difference image between two frames. """ im = frame1 - frame0 im = im/2./255. # Scaling im += 0.5 # Shift the no change to gray value. return im
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import re def load_config(file): """ Load a config file of the format key=value. """ config = {} f = open(file, 'r') for line in f.readlines(): if re.match("\s*$", line) or re.match("\s*\#", line): continue m = re.match("\s*(\S+)\s*=\s*(.+)$", line) if m: ...
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import json def load_hyp(filepath): """ Load hyper-parameters from filepath Args: filepath: filepath of .json file loaded into dict. Returns: dict: hyper-parameters """ with open(filepath, 'r') as f: return json.load(f)
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def _squeeze_output(out): """ Remove single-dimensional entries from array and convert to scalar, if necessary. """ out = out.squeeze() if out.ndim == 0: out = out[()] return out
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from typing import Dict from typing import List def _compare_dict(old: Dict, new: Dict, keys: List[str]) -> bool: """Function for comparing a flat dictionary across specified keys :param Dict old: baseline dict :param Dict new: comparative dict :param List[str] keys: The keys to compare :return:...
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def normalized_error(value_1,value_2,uncertainty,expansion_factor=1): """normalized error returns the scalar normalized error (delta value/ (expansion_factor*uncertainty))""" return (value_2-value_1)/(uncertainty*expansion_factor)
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import base64 def b64encode(s: str): """ Encode a string *s* to base64 """ return base64.b64encode(s.encode("ascii")).decode("ascii")
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def mat_splice(matrix, r, c): """ Function which returns a matrix with the first r rows and first c columns of the original matrix """ result = list() for i in range(r): row = matrix[i] result.append(row[:c]) return result
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def set_entry_attribute(entry, attribute, value, overwrite=False): """Set an entry attribute.""" if value and (not getattr(entry, attribute) or overwrite): entry = entry._replace(**{attribute: value}) return entry
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from typing import Counter def removeSingles(data, hosts, labels, target_class): """ Remove entries from the dataset where the tactic/technique only occurs once. GIVEN: data (list) list of events hosts (list) one of ["Attacker", "Victim"] labels (dict) human-a...
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def overlapping_in_bed( fname, r_chr, r_start, r_stop ): """ Get from a bed all intervals that overlap the region defined by r_chr, r_start, r_stop. """ rval = [] for line in open( fname ): if line.startswith( "#" ) or line.startswith( "track" ): continue fields = lin...
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def activation_channels_apoz(activation): """Calculate the APoZ of each of an activation's channels. APoZ is the Average Percentage of Zeros (or simply: average sparsity) and is defined in: "Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures". The activation u...
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import json def better_object(parser: dict): """Converts the json object to a more readable object. Parameters ---------- parser : dict Returns ------- str deserialized json as string """ return json.dumps(parser, sort_keys=True, indent=4, ensure_ascii=False)
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def create_tables(name,string_columns): """Returns string used to produce CREATE statement. Parameters ---------- name : string indicates the name of the table to create. string_columns : string list of columns to create. Returns ------- query : string """ c...
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import json def parse_user_seq(line): """Parses a sequence of ids from a line of the ml_user_sequences dataset.""" sequence_string = line.strip('()').split(',', 1)[1] return json.loads(sequence_string)
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import inspect import functools def wrap_decorator(fn, index=None): """ Returns a version of the function wrapped in such a way as to allow both decorator and non-decorator syntax. If the first argument of the wrapped function is a callable, the wrapped function is called as-is. Otherwise, returns a...
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import json def _my_service_function(meth, param1, param2): """This is an example function. :param param1: Input Genome :type param1: kbtypes.Genome :ui_name param1: Genome ID (what the user sees) :param param2: Some text :type param2: kbtypes.Unicode :ui_name param2: Text :return: Wo...
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def gen_title_rst(txt): """ Generate rst title from a cmake comment. """ # Just add a few useful directives txt = ".. highlight:: cmake\n\n" + txt return txt
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def repo_visibility(repo): """Convert repo to its visibility attribute as string :param repo: Repository to show its visibility as string :type repo: ``repocribro.models.Repository`` :return: Text representation of repo visibility :rtype: str """ if repo.is_public: return 'Public' ...
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def reverse_lookup(D, val): """ Find all keys in a dictionary D with the specified value. """ if type(D) != dict: raise TypeError("First argument must be a dictionary") return [key for key in D.keys() if D[key] == val]
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def axis_slice(a, start=None, stop=None, step=None, axis=-1): """Take a slice along axis 'axis' from 'a'. Parameters ---------- a : numpy.ndarray The array to be sliced. start, stop, step : int or None The slice parameters. axis : int The axis of `a` to be sliced. E...
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def _render_text_module_mapping(mapping): """Renders the text format proto for a module mapping. Args: mapping: A single module mapping `struct`. Returns: A string containing the module mapping for the target in protobuf text format. """ module_name = mapping.module_name prot...
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import shlex def ResolveRspLinks(inputs): """Return a list of files contained in a response file. Args: inputs: A command containing rsp files. Returns: A set containing the rsp file content.""" rspfiles = [a[1:] for a in inputs if a.startswith('@')] resolved = set() for rspfile in rspfiles: ...
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import torch def gaussian_loss(z, mu, sigma): """ Calculate the negative log-likelihood of a given sample Y for a Gaussian with parameters mu and sigma. Note that this equation is specific for a single one-dimensional Gaussian mixture component. :param z: Target sample :param mu: Mean of the Gauss...
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def validate_eye_color(passport: dict) -> bool: """ Return True if value of eyecolor is equal to amb blu brn gry grn hzl oth DOCTEST >>> validate_eye_color(passport={"ecl": "brn", "byr": "1937"}) True >>> validate_eye_color(passport={"ecl": "wat", "byr": "1937"}) False """ eye_col...
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def fitness_metric(agent, environment, raw_fitness, path): """ Returns the raw fitness of an agent evaluation. """ return raw_fitness
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def wrap_qmes(qmes): """Converts qmes into a dict of {q:{m:e}}""" d = {} for q, m, e in qmes: if q not in d: d[q] = {} d[q][m] = e return d
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def get_name(index): """ 排序用的辅助函数 :param index: :return: index对象的name属性值 """ return index.name
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def secs_to_text(secs): """ Convert number of seconds to human string - *d*h*m*s """ secs = int(secs) min_time = 60 hour_time = 3600 day_time = 3600*24 days = 0 hours = 0 mins = 0 if secs >= day_time: days = int(secs / day_time) secs = secs % day_time if secs ...
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def get_unnamed_cols(df): """ Get a list of all unnamed columns, used to drop them. :param df: :return: """ return [col for col in df.columns if "Unnamed" in col]
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def running(demo_mode, step, max_step): """ Returns whether the demo should continue to run or not. If demo_mode is set to true, the demo should run indefinitely, so the function returns true. Otherwise, the function returns true only if step <= max_step :param demo_mode: true if running in demo mod...
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def sign(x): """ Objective: take the sign of x e.g., >>>sign(-1.2) -1 >>>sign(5) 1 """ if x>0: return 1 elif x<0: return -1 else: return 0
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def freq(series, value): """ Takes a pandas series and a value and returns the fraction of the series that presents a certain value. """ Ntotal = len(series) Nsel = float(len(series.loc[series==value])) return Nsel/Ntotal
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import unicodedata def run_strip_accents(text): """ 统一字符串中的字母表示方法,并去除无法处理的特殊字符 :param text: str :return: str """ text = unicodedata.normalize("NFD", text) # 文本标准化,统一相同字符的不同表示 output = [] for char in text: cate = unicodedata.category(char) # Mark, Nonspacing if cate =...
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def physOrgNewsFilter(href): """Determine if PhysOrg article or other link instead """ return(href.startswith('http://phys.org/news/'))
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def hex_fig(n, uppercase=True): """ Return the hexadecimal figure of `n`. :param n: 0 <= int < 16 :param uppercase: bool :return: str (one character from 0123456789ABCDEF or 0123456789abcdef) """ assert isinstance(n, int), type(n) assert 0 <= n < 16 assert isinstance(uppercase, boo...
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def break_down_filename(image): """ filename: g04i2c08.png || |||| test feature (in this case gamma) ------+| |||| parameter of test (here gamma-value) ----+ |||| interlaced or non-interlaced --------------+||| color-type ...
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def convert_to_html(txt, num=-1): """ Convert a line of a csv file to a line of an html table :param txt: a String containing a line from a csv file :param num: an integer identifying which line this is (starting at 0) :return this_line: A line of an html table equivalent to txt """ this_lin...
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def in_purchases_auth(user, recipe): """Check if a recipe is in purchases.""" return recipe.purchases.filter(user=user).exists()
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import re def title_to_slug(book_title: str) -> str: """Converts a book title to an alphanumeric slug.""" book_slug: str = book_title.lower() book_slug = book_slug.replace(" ", "qqq") book_slug = re.sub(r'\W+', '', book_slug) book_slug = book_slug.replace('qqq', '_') return book_slug
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def drange(min_, max_): """Generate list of float values in a specified range. Parameters ---------- min_ : float Min value max_ : float Max value Returns ------- range_ : list list of float values in the min_ max_ range """ step = float(max_ - mi...
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def nice64(src): """ Returns src base64-encoded and formatted nicely for our XML. """ return src.encode('base64').replace('\n', '')
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def get_robot_speeds(wl, wr, r, d): """Computes robot linear and angular speeds""" u = r/2.0 * (wr + wl) w = r/d * (wr - wl) return u, w
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from datetime import datetime def naive(dt: datetime) -> datetime: """Remove the timezone from a datetime instance.""" return datetime(dt.year, dt.month, dt.day, dt.hour, dt.minute, dt.second, dt.microsecond)
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def get_motioneye_entity_unique_id( config_entry_id: str, camera_id: int, entity_type: str ) -> str: """Get the unique_id for a motionEye entity.""" return f"{config_entry_id}_{camera_id}_{entity_type}"
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def get_segment_coordinates(center, segment_length, sequence_length): """Return max(0, c - s/2) - min(L, c + L/2). Where c=center, s=segment_length, L=sequence_length. """ half = int(segment_length / 2) start = max(0, min(center - half, sequence_length - segment_length)) end = start + segment_...
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def defvalkey(js, key, default=None, take_none=True): """ Returns js[key] if set, otherwise default. Note js[key] can be None. :param js: :param key: :param default: :param take_none: :return: """ if js is None: return default if key not in js: return default ...
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def insert_cpf(a): """ Cast a string of digits to the formatted 000.000.000-00 CPF standard. """ cpf = a[:3]+'.'+a[3:6]+'.'+a[6:9]+'-'+a[9:] return cpf
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def extract_date_from_config_string(configString): """Takes a string of a date as written in a Cisco configuration file and extracts the usable parts of it""" splitString = configString.split(' at ')[1].split(' by ')[0] dateEnd = ' '.join(splitString.split(' ')[2:]) dateStart = ''.join(splitString.split...
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import torch def laplace_cdf(s, beta, noise_std = 0): """CDF of the Laplace distribution with zero mean and beta scale.""" beta_recip = 1. / beta x = s * beta_recip if noise_std: x = x + noise_std * torch.randn(x.shape, dtype=x.dtype, device=x.device) return torch.sigmoid(x)
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def stackhunter(cookie = 0x7afceb58): """Args: [cookie = 0x7afceb58] Returns an an egghunter, which searches from esp and upwards for a cookie. However to save bytes, it only looks at a single 4-byte alignment. Use the function stackhunter_helper to generate a suitable cookie prefix for you. Th...
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def get_bucket_and_object(resource_name): """Given an audit log resourceName, parse out the bucket name and object path within the bucket. Returns: (str, str) -- ([bucket name], [object name]) """ pathparts = resource_name.split("buckets/", 1)[1].split("/", 1) bucket_name = pathparts[0] ...
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from typing import List def group_anagrams(strs: List[str]) -> List[List[str]]: """ LeetCode 49: Group Anagrams Given an array of strings, group anagrams together. """ str_map = {} res = [] for s in strs: temp = ''.join(sorted(s)) if temp not in str_map: str_map...
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def img_src_finder(pipeline_index, soup, finder_image_urls=[], *args, **kwargs): """ Find image URL in <img>'s src attribute """ now_finder_image_urls = [] for img in soup.find_all('img'): src = img.get('src', None) if src: ...
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import random def create_random_list(list): """ Create a random list of up to 20 integers between 1 and 20. """ for i in range(0, random.randint(1, 20)): n = random.randint(1, 21) list.append(n) return list
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from typing import MutableMapping def flatten(d, parent_key="", sep="_"): """ Flatten dictionary by compressing keys. See: https://stackoverflow.com/questions/6027558/ flatten-nested-python-dictionaries-compressing-keys d : dictionary sep : separator for flattening keys Returns ...
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def signum(number): """Self-explanatory.""" if(number < 0): return -1 elif(number > 0): return 1 else: return 0
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def istr(value): """ Utility for returning a str representation of the given value. Return '-' if value is None @parem value : the given value that need to be converted to string """ if value is None: return "-" return str(value)
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def insitu_xtl(Cl, D, F, f, fa): """ insitu_xtl calculates the concentration of the remaining melt as described in Langmuir (1989) and Rollinson 1993 Eq. 4.21 whereby crystallization predominantly takes place at the sidewalls of a magma reservoir. Rather than crystals being extracted from the liqu...
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def verify_social_media_platform(platform_name: str) -> bool: """ A helper function to make verifying social media platform strings easier Parameters ---------- platform_name: str The name of the social media platform to be verified. Valid inputs are: 'f', 't', 'i', 'a' Returns...
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def _get_class_type(cls): """ type(cls) has an inconsistent behavior between 3.6 and 3.7 because of changes in the typing module. We therefore rely on __origin__, present only in classes from typing to extract the origin of the class for comparison, otherwise default to the type sent directly :p...
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import re def clean_line(description): """Formats catapult-server custom tags into readable strings. Args: description (str): Line to format. Returns: str: Formatted line. """ description = re.sub(r'\\c ([a-zA-Z_]*)', r'<code class="docutils literal"><span class="pre">\1</span></...
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def translate(value, from_min, from_max, to_min, to_max): """ Translates the value passed as a parameter into a corresponding value in the right range. """ # Figure out how 'wide' each range is left_span = from_max - from_min right_span = to_max - to_min # Convert the left range into a ...
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def get_scilife_to_customer_name(project_name, p_con, s_con, get_barcode_seq=False): """Get scilife to customer name mapping optionally with barcodes, represented as a dictionary. :param project_name: project name :param p_con: object of type <ProjectSummaryConnection> :param s_con: object of type ...
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import hashlib def create_hash_id(input): """ Creates hash identifier. Parameters ========== input : str Input to be hashed to form an identifier. Returns ======= hash_id : str Identifier formed by hashing the inputs. """ input_bytes = bytes(input, encoding="u...
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from functools import reduce import operator def product_sequence(series, f): """Calculates the product sequence of a `series` of numbers aka "Capital-pi notation" Π(f(n)) = f(k0) * f(k1) * f(k2) * ... * f(kn) https://en.wikipedia.org/wiki/Arithmetic_function#Notation """ values = (f(value)...
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import binascii def string_to_hex(val: str, min_length: int = 0) -> str: """ Create a hex representation of val. The end of the result will be padded with "0" until min_length is reached. Args: val: The string to convert. min_length: The minimum length of result. "0" will be used as ...
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def manhattan(pos1, pos2): """ Función para calcular la distancia manhattan entre dos coordenas de una matriz :param pos1: primera coordenada :type pos1: Tuple[int, int] :param pos2: segunda coordenada :type pos2: Tuple[int, int] :rtype: int :return: distance """ di...
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import re def _regex_or(options): """Create a regex pattern matching any of the provided strings.""" # An or joining non capturing groups of escaped strings clause = "|".join(f"(?:{re.escape(part)})" for part in options) if len(options) > 1: # Wrap the whole thing in another non-capturing gr...
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def get_beta_parameters(confusion): """ Extract the beta parameters from a confusion matrix. Parameters ---------- confusion : array, shape = [n_classes, n_classes] Where entry c_{ij} is the number of observations in class i but are classified as class j. Re...
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def sets_to_mapping(s): """ Input: {cluster_name: set([cluster_items])} dictionary Output: {cluster_item: cluster_name} dictionary """ return {m: k for k, ms in s.items() for m in ms}
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import keyword def safe_names(names): """ Receive a list of names and return a map from names to the corresponding safe name to use as a Python variable. """ safe_names = {} for name in names: safe_names[name] = name + "_" if keyword.iskeyword(name) else name if len(safe_names) != ...
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import pickle def load_tfidf(vectorizer_path: str, wm_path: str): """Loads the stored TF-IDF objects Args: vectorizer_path (str): Path to the vectorizer .pickle file wm_path (str): Path to the word model .pickle file Returns: tuple: A tuple of the tfidfvectorizer and tfidf_wm obj...
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def count_lines(filename): """Counts and returns how many non empty lines in a file there are.""" with open(filename, 'r') as f: lines = [x for x in list(f) if x.strip()] return len(lines)
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import hashlib def get_s3_folder_prefix(iiLocalName, igLocalName): """ gives the s3 prefix (~folder) in which the volume will be present. inpire from https://github.com/buda-base/buda-iiif-presentation/blob/master/src/main/java/ io/bdrc/iiif/presentation/ImageInfoListService.java#L73 Example: ...
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def get_face_ids(oEditor, body_name): """ Get the face id list of a given body name. Parameters ---------- oEditor : pywin32 COMObject The HFSS editor in which the operation will be performed. body_name : str Name of the body whose face id list will be returned ...
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def mock_any(cls): """Returns Any class to use in mock.""" class Any(cls): """Any class used for mocks.""" def __eq__(self, other): return True return Any()
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def attrsetter(attr_name): """ attrsetter(attr) --> attrsetter object Return a callable object that sets the given attribute(s) on its first operand as the second operand After f = attrsetter('name'), the call f(o, val) executes: o.name = val """ def _attrsetter(obj, val): setattr(o...
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def reverse_string(s): """Returns the reversal of the given string.""" result = "" for char in s: result = char + result return result
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def apply_all_funcs (value_tuple, funclist): """Returns True is any one of the functions in funclist returns True when applies to x and y """ x = value_tuple[0][-1][-1] y = value_tuple[1] for f in funclist: if f(x,y): return True return False
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async def show(*args, **kwargs): """Dummy show function that always cancels (returns None)""" return None
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import pathlib def get_domain(prog, fpath): """Return the domain from the input path. Will extract a domain from the full path input (of a X.509 cert file) as the Let's Encrypt directory the certificate is in, rather than, say, the domain(s) defined in the certificate itself. Anything other than a ...
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