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def pollutants_from_summary(summary): """ Get the list of unique pollutants from the summary. :param list[dict] summary: The E1a summary. :return dict: The available pollutants, with name ("pl") as key and pollutant number ("shortpl") as value. """ return {d["pl"]: d["shortpl"] for d i...
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def _dest_path(path): """Returns the path, stripped of parent directories of .dSYM.""" components = path.split("/") res_components = [] found = False for c in components: # Find .dSYM directory and make it be at the root path if c.endswith(".dSYM"): found = True i...
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def get_max(num_list): """Recursively returns the largest number from the list""" if len(num_list) == 1: return num_list[0] else: return max(num_list[0], get_max(num_list[1:]))
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import json def get_device(token): """ Read the device configuration from device.json file. :return: dict - the device configuration """ try: with open("/tmp/{}/device.json".format(token), "r") as f: return json.load(f) except: pass
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def unique(valuelist): """Return all values found from a list, but each once only and sorted.""" return sorted(list(set(valuelist)))
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from typing import List from typing import Any def get_list_elements_containing(l_elements: List[Any], s_search_string: str) -> List[str]: """get list elements of type str which contain the searchstring >>> get_list_elements_containing([], 'bc') [] >>> get_list_elements_containing(['abcd', 'def', 1, ...
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def floatformatter(*args, sig: int=6, **kwargs) -> str: """ Returns a formatter, which essantially a string temapate ready to be formatted. Parameters ---------- sig : int, Optional Number of significant digits. Default is 6. Returns ------- string The s...
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def comp_active_surface(self): """Compute the active surface of the conductor Parameters ---------- self : CondType11 A CondType11 object Returns ------- Sact: float Surface without insulation [m**2] """ Sact = self.Hwire * self.Wwire * self.Nwppc_tan * self.Nwppc...
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import hashlib def get_checksum(address_bytes: bytes) -> bytes: """ Calculate double sha256 of address and gets first 4 bytes :param address_bytes: address before checksum :param address_bytes: bytes :return: checksum of the address :rtype: bytes """ return hashlib.sha256...
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def isHeteroplasmy(variant, depth_min = 40, depth_strand = 0, depth_ratio_min = 0.0, freq_min = 0.01): """ determine whether a variant is a heteroplasmy according to the filers specified Attributes ---------- variant: MTVariant depth_min: the minimum depth depth_strand: the minimum depth on either the forward...
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import hashlib def hash_ecfp(ecfp, size): """ Returns an int < size representing given ECFP fragment. Input must be a string. This utility function is used for various ECFP based fingerprints. Parameters ---------- ecfp: str String to hash. Usually an ECFP fragment. size: int, optional (default ...
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def dict_union(a, b): """ Return the union of two dictionaries without editing either. If a key exists in both dictionaries, the second value is used. """ if not a: return b if b else {} if not b: return a ret = a.copy() ret.update(b) return ret
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def gef_pybytes(x: str) -> bytes: """Returns an immutable bytes list from the string given as input.""" return bytes(str(x), encoding="utf-8")
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def parse_STATS_header(header): """ Extract the header from a binary STATS data file. This extracts the STATS binary file header information into variables with meaningful names. It also converts year and day_of_year to seconds at midnight since the epoch used by UNIX systems. @param header : string of...
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import decimal def recall(qtd_true_positives, list_of_true_positive_documents, ref=0): """ TP / (TP + FN) TP - True Positive FN - False Negative - a document is positive but was classified as negative """ fn = 0 for d in list_of_true_positive_documents: if d.predicted_polarity < ref: fn = fn + 1 qtd_tru...
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from datetime import datetime def fromisoformat(isoformat): """ Return a datetime from a string in ISO 8601 date time format >>> fromisoformat("2019-12-31 23:59:59") datetime.datetime(2019, 12, 31, 23, 59, 59) """ try: return datetime.fromisoformat(isoformat) # Python >= 3.7 exc...
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def _generator_to_list(subnets_generator): """Returns list of string representations of each yielded item from the generator. """ subnets = [] for subnet in subnets_generator: subnets.append(str(subnet)) return subnets
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def is_selected_branch(branch: str) -> bool: """Determine whether a branch is the current branch.""" return branch.startswith("* ")
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def getFile(file): """ Read out a file and return a list of string representing each line """ with open (file, "r") as out: return out.readlines()
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def format_chores(chores): """ Formats the chores to properly utilize the Oxford comma :param list chores: list of chores """ if len(chores) == 1: return f'{chores[0]}' elif len(chores) == 2: return f'{chores[0]} and {chores[1]}' else: chores[-1] = 'and ' + chores[-1...
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import math def get_line_size(l): """ Return the size of the given line """ return math.sqrt( math.pow(l[0] - l[2], 2) + math.pow(l[1] - l[3], 2))
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def centercrop(pic, size): """ Center-crops a picture in a square shape of given size. """ x = pic.shape[1]/2 - size/2 y = pic.shape[0]/2 - size/2 return pic[int(y):int(y+size), int(x):int(x+size)]
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def early_stopping(val_bleus, patience=3): """Check if the validation Bleu-4 scores no longer improve for 3 (or a specified number of) consecutive epochs.""" # The number of epochs should be at least patience before checking # for convergence if patience > len(val_bleus): return False l...
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def indent_code(input_string): """ Split code by newline character, and prepend 4 spaces to each line. """ lines = input_string.strip().split("\n") output_string = "" for line in lines: output_string += " {}\n".format(line) ## one last newline for luck output_string += "\n" ...
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import torch def set_devices(model, loss, evaluator, device): """ :param: model, loss, evaluation_loss : torch.nn.Module objects :param: device: torch.device,compatible string, or tuple/list of devices. If tuple, wrap the model using torch.nn.DataParallel and use the first specified device...
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def btod(binary): """ Converts a binary string to a decimal integer. """ return int(binary, 2)
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def set_progress_percentage(iteration, total): """ Counts the progress percentage. :param iteration: Order number of browser or version :param total: Total number of browsers or versions :return: Percentage number """ return float((iteration + 1) / total * 100)
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def has_loop(page_list): """ Check if a list of page hits contains an adjacent page loop (A >> A >> B) == True. :param page_list: list of page hits derived from BQ user journey :return: True if there is a loop """ return any(i == j for i, j in zip(page_list, page_list[1:]))
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def linear(a, b, x, min_x, max_x): """ b ___________ /| / | a _______/ | | | min_x max_x """ return a + min(max((x - min_x) / (max_x - min_x), 0), 1) * (b - a)
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def form_message(sublines, message_divider): """Form the message portion of speech bubble. Param: sublines(list): a list of the chars to go on each line in message Return: bubble(str): formaatted to fit inside of a bubble """ bubble = "" bubble += message_divider bubble += "".join(subl...
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from typing import BinaryIO from typing import Optional from io import StringIO def decode_object( handle: BinaryIO, num_lines: Optional[float] = None, ) -> StringIO: """ Converts a binary file-like object into a String one. Files transferred over http arrive as binary objects. If I want to check...
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import torch def get_grad_norm_from_optimizer(optimizer, norm_type=2): """ Get the gradient norm for some parameters contained in an optimizer. Arguments: optimizer (torch.optim.Optimizer) norm_type (int): Type of norm. Default value is 2. Returns: norm (float) """ tota...
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def count_days_between(dt1, dt2): """Function will return an integer of day numbers between two dates.""" dt1 = dt1.replace(hour=0, minute=0, second=0, microsecond=0) dt2 = dt2.replace(hour=0, minute=0, second=0, microsecond=0) return (dt2 - dt1).days
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import string import random def generate_random_alphanumeric_string(str_length=12): """ Generates a random string of length: str_length :param str_length: Character count of the output string :return: Randomly generated string :rtype: str """ letters_and_digits = string.ascii_letters + str...
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def _buffer_list_equal(a, b): """Compare two lists of buffers for equality. Used to decide whether two sequences of buffers (memoryviews, bytearrays, or python 3 bytes) differ, such that a sync is needed. Returns True if equal, False if unequal """ if len(a) != len(b): return False ...
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def delete_line_breaks(text, joiner): """ Deletes line breaks and joins split strings in one line :param text: string :param joiner: string used to join items [" " for abs or "" for title] :return: joined text """ text = text.split('\n') text = joiner.join(text) return text
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def get_adm_fields(adm_level, field_name="name"): """Get list of adm-fields from `adm_level` up to the adm1 level""" return [f"adm{i}_" + field_name for i in range(1, adm_level + 1)]
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def prepare_actions(actions, enabled_analyzers): """ Set the analyzer type for each buildaction. Multiple actions if multiple source analyzers are set. """ res = [] for ea in enabled_analyzers: for action in actions: res.append(action.with_attr('analyzer_type', ea)) retu...
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import click def style_bold(txt, fg): """Style text with a bold color.""" return click.style(txt, fg=fg, bold=True)
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from typing import Optional from typing import Tuple import re def find_github_owner_repo(url: Optional[str]) -> Tuple[Optional[str], Optional[str]]: """Find the owner's name and repository name from the URL representing the GitHub repository. Parameters ---------- url : Optional[str] Any...
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from typing import Union def celsius_to_kelvin(temperature_in_celsius: Union[int, float]) -> float: """ >>> celsius_to_kelvin(0) 273.15 >>> celsius_to_kelvin(1) 274.15 >>> celsius_to_kelvin(-1) 272.15 >>> celsius_to_kelvin(-273.15) 0.0 >>> celsius_to_kelvin(-274.15) Tra...
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def union(x, y=None): """ Return the union of x and y, as a list. The resulting list need not be sorted and can change from call to call. INPUT: - ``x`` - iterable - ``y`` - iterable (may optionally omitted) OUTPUT: list EXAMPLES:: sage: answer = union([1,2,3,4], [5,6])...
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from typing import List def define_frontal_base_direction(robot: str) -> List: """Define the robot-specific frontal base direction in the base frame.""" if robot != "iCubV2_5": raise Exception("Frontal base direction only defined for iCubV2_5.") # For iCubV2_5, the reversed x axis of the base fr...
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from typing import List from typing import Dict from pathlib import Path def collect_file_pathes_by_ext( target_dir: str, ext_list: List[str] ) -> Dict[str, List[Path]]: """Return the list of Path objects of the files in the target_dir that have the specified extensions. Args: target_dir (str): D...
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def node_is_empty(node): """Handle different ways the regulation represents no content""" return node.text.strip() == ''
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def find_dict_in_list_from_key_val(dicts, key, value): """ lookup within a list of dicts. Look for the dict within the list which has the correct key, value pair Parameters ---------- dicts: (list) list of dictionnaries key: (str) specific key to look for in each dict value: value to match ...
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from typing import List from typing import Any def get_combinations(*args: List[Any]) -> List[List]: """Takes K lists as arguments and returns Cartesian product of them. Cartesian product means all possible lists of K items where the first element is from the first list, the second is from the second and...
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def unique_from_list_field(records, list_field=None): """ Return a list of unique values contained within a list of dicts containing a list. """ values = [] for record in records: if record.get(list_field): values = values + record[list_field] return list(set(values))
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def human_size(qbytes, qunit=2, units=None): """ Returns a human readable string reprentation of bytes""" if units is None: units = [' bytes', 'KB', 'MB', 'GB', 'TB', 'PB', 'EB'][qunit:] return str(qbytes) + units[0] if qbytes < 1024 else human_size(qbytes >> 10, 1, units[1:])
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def flesch(df): """ Calculates the Flesch formula for each text. The formula and its interpretation is given in this wiki page: https://en.wikipedia.org/wiki/Flesch%E2%80%93Kincaid_readability_tests Needed features: Avg_words_per_sentence Avg_syllables_per_word Adds column: Fle...
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def state_size_dataset(sz): """Get dataset key part for state size. Parameters ---------- sz : `int` State size. Returns ------- `str` Dataset key part. """ return '_ss%d' % sz
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def trunc(number, n_digits=None, *, is_round=False): """ Function to truncate float numbers >>> from snakypy import helpers >>> helpers.calcs.trunc(1.9989, 2) 1.99 >>> helpers.calcs.trunc(1.9989, 2, is_round=True) 2.0 Args: number (float): Must receive a...
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import re def comment_modules(modules, content): """ Disable modules in file content by commenting them. """ for module in modules: content = re.sub( r'^([ \t]*[^#\s]+.*{0}\.so.*)$'.format(module), r'#\1', content, flags=re.MULTILINE ) ...
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import logging def get_logger(logger_name): """ Get the dev or prod logger (avoids having to import 'logging' in calling code). Parameters: logger_name - 'dev' or 'prod' Returns: Logger to use for logging statements. """ valid_logger_names = ['dev','prod']...
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def get_out_path(config): """ Returns path where summary output is copied after d-blink finishes running :param config: ConfigTree :return: path if it exists, otherwise None """ steps = config.get_list('dblink.steps') copy_steps = [a for a in steps if a.get_string('name') == 'copy-files'] #...
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def _clean(item): """Return a stripped, uppercase string.""" return str(item).upper().strip()
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def validation_email_context(notification): """Email context to verify a user email.""" return { 'protocol': 'https', 'token': notification.user.generate_validation_token(), 'site': notification.site, }
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def parse_path(path): """Parse a path of /hash/action/my/path returning a tuple of ('hash', 'action', '/my/path') or None values if a shorter path is given. :param path: :py:class:`string`: the path :rtype: :py:func:`tuple` """ if path == '/': return None, None, None paths =...
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import six def _contains(values, splitter): """Check presence of marker in values. Parameters ---------- values: str, iterable Either a single value or a list of values. splitter: str The target to be searched for. Return ------ boolean """ if isinstance(val...
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def get_top_namespace(node): """Return the top namespace of the given node If the node has not namespace (only root), ":" is returned. Else the top namespace (after root) is returned :param node: the node to query :type node: str :returns: The top level namespace. :rtype: str :raises: ...
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def football_points(win: int, draw: int, loss:int): """Calculate the number of points for a football team.""" return (win * 3 + draw)
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def perc_diff(bigger, smaller): """ Calculates the percentual difference between two int or float numbers :param bigger: greater value :param smaller: smaller value :return: dif_perc """ dif_perc = round(((bigger - smaller) / smaller * 100), 2) return dif_perc
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def uploads_to_list(environment, uploads_list): """ return list of upload url """ return [upload.get("url") for upload in uploads_list]
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def _element_fill_join(elements, width): """Create a multiline string with a maximum width from a list of strings, without breaking lines within the elements""" s = '' if(elements): L = 0 for i in range(len(elements) - 1): s += str(elements[i]) + ', ' L += len(el...
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def hmsToHour(s, h, m, sec): """Convert signed RA/HA hours, minutes, seconds to floating point hours.""" return s * (h + m/60.0 + sec/3600.0)
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def convert_to_indices(vert_list): """ Convert given flattened components list to vertices index list :param vert_list: list<str>, list of flattened vertices to convert # NOTE: Vertices list must follow Maya vertices list convention: ['{object_name}.v[0]', '{object_name}.v[1]' ...] :return: list<str...
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def guess_feature_group(feature): """Given a feature name, returns a best-guess group name.""" prefix_list = ( ('Sha', 'Shadow'), ('miRNA', 'miRNA'), ('chr', 'mRNA'), ('Fir', 'Firmicutes'), ('Act', 'Actinobacteria'), ('Bac', 'Bacterodetes'), ('Pro', 'Prote...
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def add_lane_lines(img, lane_line_img): """ Colors lane lines in an image """ ret_img = img.copy() ret_img[(lane_line_img[:, :, 0] > 0)] = (255, 0, 0) ret_img[(lane_line_img[:, :, 2] > 0)] = (0, 0, 255) return ret_img
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import re def parse(instruction): """ Take an instruction as a string and return a tuple (output wire, input specification). Example input specifications: * ("ID", "6") for constant input * ("ID", "a") for direct wire input "a" * ("NOT", "ab") for negated wire "ab" * ("AND", "76", "xy") for bitwise-AND...
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import math def _ms_to_us(time_ms, interval_us=1e3, nearest_up=True): """Convert [ms] into the (not smaller/greater) nearest [us] Translate a time expressed in [ms] to the nearest time in [us] which is a integer multiple of the specified interval_us and it is not smaller than the original time_s. ...
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def generate_dmenu_options(optlist: list) -> str: """ Generates a string from list seperated by newlines. """ return "\n".join(optlist)
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import time def _is_active(log_stream: dict, cut_off: int) -> bool: """ Determine if the given stream is still active and worth tailing. :param log_stream: A dictionary returned by `describe_log_streams` describing the log_stream under consideration. :param cut_off: The number...
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import re def mountpoint_dataset(mountpoint: str): """ Check if dataset is a 'zfs' mount. return dataset, or None if not found """ target = re.compile(r'^.*\s+' + mountpoint + r'\s+zfs\b') with open("/proc/mounts") as f: mount = next((ds for ds in f.read().splitlines() if target.sear...
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def _add_necessary_columns(args, custom_columns): """ Convenience function to tack on columns that are necessary for the functionality of the tool but yet have not been specifically requested by the user. """ # we need to add the variant's chrom, start and gene if # not already there. i...
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def get_part_of_speech(s): """ Detect part-of-speech encoding from an entity string, if present. :param s: Entity string :return: part-of-speech encoding """ tokens = s.split("/") if len(tokens) <= 4: return "" pos_enc = tokens[4] if pos_enc == "n" or pos_enc == "a" or pos_e...
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def get_pam_and_tool_from_filename(score_filename): """Extracts pam/tool info from a score filename Args: score_filename: specific score file name (including .txt) Returns: list of pam, pam_tool Example: Example score file: 'aggt_Chimera.txt' output: ['aggt', 'Chimera'] ...
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from typing import Dict from typing import Union def parse_websocket_action(data: Dict[str, str]) -> Union[str, None]: """ Returns the websocket action from a given decoded websocket message or None if the action doesn't exist or isn't a valid string. """ if isinstance(data, Dict): websoc...
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def get_object(conn, key, error='object not found', version_id=None): """ Gets an object from s3 """ def helper(): try: if version_id is None: return conn['client'].get_object(Bucket=conn['bucket'], Key=key) else: return conn['client'].get_object(Bucket=conn['bucket'], Key=key, ...
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import fnmatch def filter_repos(config, repo_dir=None, vcs_url=None, name=None): """Return a :py:obj:`list` list of repos from (expanded) config file. repo_dir, vcs_url and name all support fnmatch. Parameters ---------- config : dist the expanded repo config in :py:class:`dict` format. ...
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def extend_smallest_list(a, b, extension_val=None): """Extend the smallest list to match the length of the longest list. If extension_val is None, the extension is done by repeating the last element of the list. Otherwise, use extension_val. Arg(s): a - A list. b - A list. exte...
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def to_celsius(temp): """Convert temperature measured on the Fahrenheit scale to Celsius. Parameters: temp (int): temperature value to convert Returns float: temperature value converted to Celsius """ return round((int(temp) - 32) * .5556, 3)
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def readable_bool(b): """Takes a boolean variable and returns "yes" for true and "no" for false as a string object. :param b: boolean variable to use """ if b: return "yes" else: return "no"
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import re def is_url(_str): """return true if the str input is a URL.""" ur = re.findall('http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*\(\), ]|(?:%[0-9a-fA-F][0-9a-fA-F]))+', _str) return len(ur) > 0
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from typing import Union from typing import List def common_missing_fills(variable_type: str) -> Union[List[int], List[str]]: """Return a list of common missing stand-ins. Returns ------- List[int] Parameters ---------- variable_type : str What type of variable to return the miss...
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def obtain_ECG(tensec_data): """ obtain ECG values of ten second data :param tensec_data: 10 seconds worth of heart rate data points :return ECGData: ECG unmultiplexed data """ ECGData = tensec_data[1::2] return ECGData
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import ast def str2dict(d_s): """Convert string to dictionary :d_s: Dictionary string :returns: Evaluated dictionary """ return ast.literal_eval(d_s)
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def project_08_largest_product(count): """ Problem 8: Find the largest product of n numbers in a hardcoded series.. Args: count (int): The number of adjacent numbers to determine product for. """ def product(sequence): if 0 in sequence: return 0 else: pro...
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def load_input_segs(cand_segs, ref_segs, src_segs=None): """ Load input files specified in the CL arguments into memory. Returns a list of 5-tuples: (segment_id, origin, src_segment, candidate_segment, reference_segment) "origin" is always None (present for compatibilit...
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from typing import Union def fibonacci_k_n_term(n: int, k: int) -> Union[int, NotImplementedError]: """ Returns the nth fibonacci_k number. Where F_{k,n+1} = k*F_{k,n} + F_{k,n−1} for n ≥ 1 """ if n < 0: return NotImplementedError('negative n is not implemented') if n in [0, 1]: ...
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from typing import Sequence def chg_modelqa(models: Sequence, ordinal: int, **kwargs) -> int: """ Information on the quality of the curve fit the intercept the ordinal date. Args: models: sorted sequence of CCDC namedtuples that represent the pixel history ordinal: standard python ordinal...
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import yaml def yaml_read(path): """ Reads yaml from disk """ with open(path, "r") as fp: return yaml.load(fp, Loader=yaml.FullLoader)
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def chunks(obj, size, start=0): """Convert `obj` container to list of chunks of `size`.""" return [obj[i : i + size] for i in range(start, len(obj), size)]
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def http_verb(dirty: str) -> str: """ Given a 'dirty' HTTP verb (uppercased, with trailing whitespaces), strips it and returns it lowercased. """ return dirty.strip().lower()
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import copy def trim_audio(A, start, stop): """Trim copy of MultiSignal audio to start and stop in seconds.""" B = copy.deepcopy(A) assert start < len(B) / B.fs, 'Trim start exceeds signal.' for c in range(B.channel_count): B.channel[c].signal = B.channel[c].signal[ int(start * B.f...
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def all_values_unique(d): """Return whether no value appears more than once across all value sets of multi-valued mapping `d`.""" seen = set() for multivalue in d.values(): if any(v in seen for v in multivalue): return False seen.update(multivalue) return True
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def calculate_future_value(present_value, interest_rate, compounding_periods, years): """ Calculates the future value of money given the present_value, interest rate, compounding period, and number of years. Args: present_value (float): The present value interest_rate (float): The interest ...
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def align(value, m): """ Increase value to a multiple of m """ while ((value % m) != 0): value = value + 1 return value
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def get_ip(request): """ Attempts to extract the IP number from the HTTP request headers. """ key = "REMOTE_ADDR" meta = request.META # Lowercase keys simple_meta = {k.lower(): v for k, v in request.META.items()} ip = meta.get(key, simple_meta.get(key, "0.0.0.0")) return ip
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import re def sanitize_title(title): """Generate a usable anchor from a title string""" return re.sub("[\W+]","-",title.lower())
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def IsGoodTag(prefixes, tag): """Decide if a string is a tag @param prefixes: set of prefixes that would indicate the tag being suitable @param tag: the tag in question """ for prefix in prefixes: if tag.startswith(prefix): return True return False
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