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def lineincustcols (inlist, colsizes): """ Returns a string composed of elements in inlist, with each element right-aligned in a column of width specified by a sequence colsizes. The length of colsizes must be greater than or equal to the number of columns in inlist. Usage: lineincustcols (inlist,colsizes) Retu...
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import logging def calc_lcoe_capex(capex, fcf, cf=1, basis="perkw"): """ Calculate capex component of lcoe :param capex: Capex in the form of CURR/MW :param cf: capacity factor, default is 1 :param fcf: Plant life cost inflation corrector :param basis: Default is per MW, it is there to be open...
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def u_global(name, prefix='u_', suffix=''): """Returns the uncertainty corresponding to a column. For example, the column ('roi_atoms', 'Fz', '', '') has uncertainties in the column ('roi_atoms', 'u_Fz', '', '') """ if type(name) == tuple: i = len(name)-1 while not name[i]: ...
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import inspect def get_from_classes(clazz, class_var): """ Get a list of class variables with the given name in clazz and all its superclasses. The values are returned in mro order. :param clazz: the class which is being queried :param class_var: class variable name :return: ...
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def name_is_all(name: str) -> bool: """ Return True if deck name is all, else False. Used to re-prompt user in check_deck_name. """ if name == "all": return True return False
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def _get_meas_sds(params, info): """Create the array of standard deviations of the measurement errors.""" return params[info["meas_sds"]]
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from pathlib import Path from typing import Dict from typing import Any import jinja2 def get_final_script(script_path: Path, variables: Dict[str, Any]) -> str: """Return the script with replaced placeholders. Args: script_path: Path to the script. variables: Placeholders to be replaced. ...
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def get_concat_input_op_slices(concat_ops, op_reg_manager): """Returns OpSlice for concat input ops to concatenate. For concat, all input OpSlice should be stacked to align with the concat OpSlice. Also, the last input is the axis which should be omitted. Args: concat_ops: List of tf.Operation which prov...
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def GetAllAcceptSequences(root): """Return all the byte sequences that are accepted by a trie. Args: root: the root of the trie to generate accepting sequences for. Returns: sequences: a list of tuples containing information about accepts. Each tuple is a pair of AcceptInfo and a list of the bytes th...
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import re import warnings def string_to_dms(coord): """Converts well formed coordinate string to its components. Example: 41°24'12.2" -> (41, 24, 12.2) :param str coord: coordinate string formatted as <DD°MM'SS.S[E|N]> :rtype: (int, int, float) """ match = re.match(r"^\d{1,2}°\d{1,2}\'\d{1,2}...
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import warnings def deprecated(func): """A simple decorator to mark functions and methods as deprecated.""" def wrapper(*fargs, **kw): warnings.warn("%s is deprecated." % func.__name__, category=DeprecationWarning, stacklevel=2) return func(*fargs, **kw) wrapper.__nam...
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from typing import Union def enumerate_oxford(x: Union[list, str]) -> Union[None, str]: """ Return as string with Oxford comma. Args: x (Union[list, str]): List or string to be formated. Returns: Union[None, str]: Formated string. None if x is None. """ if isinstance(x, str):...
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def countNotes(root): """ Classic use case: divide & conquer Count how many nodes are in binary tree. Use divide & conquer. """ def helper(node): if node is None: return 0 return 1 + helper(node.left) + helper(node.right) return helper(root)
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def select_one(possibilities, description): """ Asks the user to select one of the possibilities after displaying description as prompt """ print(description) # Display all possibilities for i in range(len(possibilities)): (object_description, _) = possibilities[i] print(f"{i}: {...
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def sort(ref, *args): """Returns sorted arrays based on a reference array. Args: ref (list or array): 1D array. *args: array to sort. Returns: sorted arrays.""" s = [] for x in args: s.append( [x1 for (y,x1) in sorted(zip(ref,x), key=lambda pair: pair[0])]) retu...
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import re def abbreviate(words): """ Return the acronym of a string """ words = filter(lambda x: x != '', re.split("[^a-zA-Z0-9']", words)) return "".join([word[0].upper() for word in words])
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def decimal_to_dot(x_dec): """Test if `Decimal` value has enough precision that it is defined to dot, i.e., its eps is <= 1. Parameters ---------- x_dec : Decimal Input value in decimal. Returns ------- y : bool True if `x_dec` defined to dot. Examples --------...
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def invert_dict(d): """Returns a new dict with keys as values and values as keys. Parameters ---------- d : dict Input dictionary. If one value of the dictionary is a list or a tuple, each element of the sequence will be considered separately. Returns ------- dict T...
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import json def get_inputs_from_file(filename=""): """ Get the specified JSON input file's contents as a dict :param filename: name of the JSON input file :return: json/python dictionary :rtype: dict """ with open(filename) as input_text: json_obj = json.load(input_text) ...
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def get_batch_ids(stensor): """Get batch ids of sparse tensor""" return stensor.indices[:, 0].unique()
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import pickle def from_pickle(fname): """ deserializes an object from a pickle file """ with open(fname, "rb") as inf: return pickle.load(inf)
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def _FormatFloat(number): """Formats float with two decimal points.""" if number: return '%.2f' % number else: return '0.00'
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def myfunction(arg1, arg2, kwarg='whatever.'): """ Does nothing more than demonstrate syntax. This is an example of how a Pythonic human-readable docstring can get parsed by doxypypy and marked up with Doxygen commands as a regular input filter to Doxygen. Args: arg1: A positional ar...
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def get_chapter(exercise: str) -> str: """Extract chapter name from exercise name. :param exercise: exercise name (e.g. "1.3.1"). :return: chapter name (e.g. "1.3"). """ return exercise[:-2]
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def hhmmss_to_seconds_since_midnight(time_int): """ Convert HH:MM:SS into seconds since midnight. For example "01:02:03" returns 3723. The leading zero of the hours may be omitted. HH may be more than 23 if the time is on the following day. :param time_int: HH:MM:SS string. HH may b...
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def format_elapsed_time(elapsed: float, precision: int = 2) -> str: """ Format the elapsed time in seconds to a human readable string. Parameters ---------- elapsed : `float` The elapsed time in seconds. precision : `int` The number of decimal places to use, defaults to 2. ...
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import math def mag(v): """ Returns the magnitude of v. """ x, y, z = v return math.sqrt(x*x + y*y + z*z)
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def read_bool(data): """Reads a string and outputs a boolean. Takes a string of the form 'true' or 'false', and returns the appropriate boolean. Args: data: The string to be read in. Raises: ValueError: Raised if the string is not 'true' or 'false'. Returns: A boolean. """ ...
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def normalized_length_tolerance() -> float: """ tolerance to be used when comparing normalized vectors """ return 1e-4
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def gchp_metname(prior_to_13): """ Deterimines the correct collection name for GCHP StateMet data. """ if prior_to_13: return "StateMet_avg" return "StateMet"
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def post_process_states(input_t_str, states, pos_tag_sentence): """ Post-processes the states (either lstm cell states or probabilities of a byte belonging to a POS tag) of input_t_str. If a unicode char of input_t_str has more than one byte in utf-8, take the state associated with the last byte. ...
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def _alternating_signs(n): """ Return 1 if n is zero Returns -1 if n is odd Returns 1 if n is even """ if (n < 0.0): raise ValueError("Argument has to be zero or a positive integer") return (-1.0)**n
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import json def get_performance(pos: str, wordform: str, source: str): """ Given a `pos` and `wordform`, return the list of modules that support the corresponding conversion, also return a dictionary mapping wordforms to a list of accuracies. Each accuracy score corresponds to a module in the list of ...
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def db_list_sensors(c): """ Get list of temperature and humidity sensors from database """ sql = "SELECT DISTINCT name FROM sensors" c.execute(sql) sensor_list = c.fetchall() return sensor_list
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import torch def reserve_nn_scores(similarities, nn_num): """Reserver top-k nearest neighbors' similarity scores Args: similarities (Matrix): test_num * train_num Returns: nn_scores (Matrix): only keep the scores of the top-k nearest neighbors """ scores = torch.FloatTens...
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import math def degrees_to_radians(deg): """Converts degrees to radians. Args: deg: degrees Returns: radians """ return deg * math.pi / 180
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from typing import Counter def count_oov(tokens, vocab): """ 计算oov的单词 :param tokens: 所有token单词 :param vocab: 生成的单词表中的单词 :return: int, int, 返回所有单词数和所有不在vocab中的单词数 """ c = Counter(t for t in tokens) total = sum(c.values()) matched = sum(c[t] for t in vocab) return total, total-m...
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from pathlib import Path import re def nearest_img_files(files, fmt='png'): """Get a list of file paths to closest images (type as specified) in dataset """ def file_png2svg(x): p = Path(x) n = p.name n = re.sub(r"\.png", ".svg", n) p = p.parent.parent p = p / 'transfor...
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import pprint def phone_partial_clean(phones = {}): """ Takes dictionary of phone numbers to be fixed (as key). Removes parenthesis and inserts hyphen (-) in place of blanks saving partially cleaned number as value. Function is used prior to cleaning and reduces the number of manual corrections ...
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def find_cluster(stats, m1, m2): """Checks if m1 and m2 are in true or predited cluster.""" in_true_cluster = False in_pred_cluster = False for cluster in stats['true_clusters'].values(): if m1 in cluster and m2 in cluster: in_true_cluster = True break for cluster in stats['pred_clusters'].val...
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def calcMetrics(tp, n_std, n_test): """Calculate precision, recall and f1""" # default precision and recall are set to 1 # because technically an empty test corresponding to an empty standard # should be the correct answer precision = (tp / float(n_test)) if n_test > 0 else 1 recall = (tp / flo...
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import re def remove_junos_group(src): """ Remove XML attribute junos:group from the given string. :param str src: Source string :returns: String with junos:group occurrences removed. """ return re.sub(r' junos:group="[^"]+"', '', src)
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def get_arrival(event, pickid): """Find the arrival object in a Catalog Event corresponding to input pick id. Args: event (Event): Obspy Catalog Event object. pickid (str): Pick ID string. Returns: Arrival: Obspy Catalog arrival object. """ for origin in event.origins: ...
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def assign_reference_name(config): """ Assigns bucket name to reference name if reference name doesn't exist. Args: config(dict) Returns: dict: formatted config """ for bucket in config["buckets"]: if bucket.get("referenceName") is None: ...
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def is_type_subclass(type_: type) -> bool: """Check if the given type field is subclass of ``type``.""" return issubclass(type(type_), type(type))
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def getClientIP(request): """ Pull the requested client IP address from the X-Forwarded-For request header. If there is more than one IP address in the value, it will return the first one. For more info, see: 'def access_route' in https://github.com/mitsuhiko/werkzeug/blob/master/werkzeug/wrapp...
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def running_mean_estimate(estimate, batch_estimate, num_samples, batch_size): """Update a running mean estimate with a mini-batch estimate.""" tot_num_samples = float(num_samples + batch_size) estimate_fraction = float(num_samples) / to...
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import math def cart2pol(x, y): """ Transform a point from cartesian coordinates to polar coordinates. :param x: x coordinate value of the point :param y: y coordinate value of the point :return: rho (distance from the pole (origin) to the point), theta (the angle between the polar-axis a...
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def getList(x): """ Convert any input object to list. """ if isinstance(x, list): return x elif isinstance(x, str): return [x] try: return list(x) except TypeError: return [x]
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def read_blast_file(location): """ :param location: String containing the exact relative filepath to the BLAST file to be read. :return blast_result: A 2D-list; contains lists with a variety of Int, float and string elements detailing all results of a single BLAST result record. ...
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def is_dynamic_buffer_enabled(config_db): """Return whether the current system supports dynamic buffer calculation""" device_metadata = config_db.get_entry('DEVICE_METADATA', 'localhost') return 'dynamic' == device_metadata.get('buffer_model')
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import struct def decode_timestamp(ts_bytes): """ Decode timestamp tuple from values saved in FITS file The timestamp is originally encoded to bytes as a series of 32bit (4 bytes) unsigned integers in little endian byte format. Added to this is a pair of chars (1 byte) for the number of satellit...
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def strip_leading_numbers(s): """ Return a string removing leading words made only of numbers. """ s = s.split() while s and s[0].isdigit(): s = s[1:] return u' '.join(s)
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def split(text): """Split a text, taking escape characters into account.""" # See https://stackoverflow.com/a/21882672 escape = '\\' ret = [] current = [] itr = iter(text) for ch in itr: if ch == escape: try: # skip the next character; it has been escaped!...
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def _whichever(x, y): """Returns whichever of `x` and `y` is not `None`. If both `x` and `y` are not `None`, returns `x`. If both `x` and `y` are `None`, returns `None`. """ return y if x is None else x
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def rescale(x, new_min, new_max, old_min, old_max): """ Rescales a value from an old range [A,B] to a new range [C,D] using the equation: x' = C(1 - (x-A)/(B-A)) + D((x-A)/(B-A)) :param x: value to be scaled :param new_min: new range minimum (C) :param new_max: new range maximum (D) :param...
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def select_pivot_column(z): """ Pick one variable that increases the objective """ for i, zi in enumerate(z): if zi > 0: return i + 1 else: return None
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def n_missing(s): """Get the number of missing feature subsets. Parameters ---------- s : pandas.Series Records of feature subsets. Returns ------- int See also -------- subrela.records.iterate_missing : Iterate missing feature subsets. Examples -------- >...
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def td2days(td): """Convert datetime.timedelta to days""" sec = td.total_seconds() # float days = sec / 3600 / 24 return days
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import re def cpg_map(seq): """ Return tuple of C/G/N. >>> cpg_map('CGCGTAGCCG') 'CGCGNNNNCG' """ starts = (x.start() for x in re.finditer('CG', ''.join(['N', seq, 'N']))) cpgs = ['N'] * (len(seq) + 2) for start in starts: cpgs[start] = 'C' cpgs[start+1] = 'G' return '...
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import logging def GetLogFromViewUrl(base_log, http_client): """Gets a log from it's view url. Args: base_log(str): View url in the format like https://{host}/logs/{project}/{path} http_client (FinditHttpClient): http_client to make the request. Returns: log (str or None): Requested log. "...
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def percent2decimal(percent): """Take a percentage, such as 3.5, and convert it to a decimal, such as 0.035""" return percent / 100
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def find_two_sum(numbers, target_sum): """ :param numbers: (list of ints) The list of numbers. :param target_sum: (int) The required target sum. :returns: (a tuple of 2 ints) The indices of the two elements whose sum is equal to target_sum """ taken = {} for i, num in enumerate(numbers): ...
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import json def normalize_single_model_value(model): """Standardize a single plane model string. Args: model (str) - a plane model name Returns: normalized_model_value (str) - a standardized model name """ # json file storing plane model strings as key and standardized model ...
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def fmt_float_list(ctx, num=1): """ Return a comma separated list of float formatters to the required number of decimal places. For instance: fmt_float_list(ctx.decimals=4, num=3) == "%.4f, %.4f, %.4f" """ return ', '.join(["%%.%df" % ctx.decimals] * num)
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def A000326(n: int) -> int: """Pentagonal numbers: a(n) = n*(3*n-1)/2.""" return n * (3 * n - 1) // 2
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from typing import Any import torch def tensor_in_device(data: Any, device: str = "cpu", **kwargs) -> torch.Tensor: """Create tensor in device. Args: data (Any): data on the tensor. device (str, optional): string of the device to be created in. Defaults to "cpu". Returns: ...
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def _face_landmarks_to_list(face_landmarks): """Takes a dict of the face landmarks and turns it into a single list of tuples.""" res = [] for area in ['chin', 'left_eyebrow', 'right_eyebrow', 'nose_bridge', 'nose_tip', 'left_eye', 'right_eye', 'top_lip', 'bottom_lip']: for lm in...
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import torch import itertools def tensors_to_tensor(tensors, shapes): """ Restore N-tensors into one args: tensors: tensors [nb, ch, row, col] shapes: [nb_rows, nb_cols] of original position return img """ nb, ch, row, col = tensors.shape assert nb == (shape...
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def tags2dict(tags): """Convert a tag list to a dictionary. Example: >>> t2d([{'Key': 'Name', 'Value': 'foobar'}]) {'Name': 'foobar'} """ if tags is None: return {} return dict((el['Key'], el['Value']) for el in tags)
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def get_tables(c, verbose=False): """Get all table names in the database.""" c.execute("SELECT name FROM sqlite_master WHERE type='table';") tabs = c.fetchall() if verbose: print(tabs) return tabs
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import hashlib import json def job_id(conf): """Create a unique id for a schedule item in config.""" return hashlib.sha1(json.dumps(conf, sort_keys=True).encode('utf-8')).hexdigest()
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def _get_mime_type(content_type): """Parse mime type. Args: content_type: content-type of response. Returns: returns string parsed to a media type. If content_type is None, returns none value. """ if content_type is None: return None if ";" in content_type: i = content_type.inde...
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def sum_of_squares(*nums: int) -> int: """Sum of the squares of `nums`.""" return sum(n * n for n in nums)
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def convert_to_list_of_words(lyrics): """Returns a list of words Parameters: lyrics (string) Returns: list: a list of words """ return lyrics.replace(',','').lower().strip().split()
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def clear(favourites_list): """Remove everything from the favourites_list. """ favourites_list.clear() return (True, None)
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def diffun(ctx, f, n=1, **options): """ Given a function f, returns a function g(x) that evaluates the nth derivative f^(n)(x):: >>> from mpmath import * >>> mp.dps = 15; mp.pretty = True >>> cos2 = diffun(sin) >>> sin2 = diffun(sin, 4) >>> cos(1.3), cos2(1.3) ...
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import pyarrow def get_hdfs_connector(host: str, port: int, user: str): """ Initialise a connector to HDFS Parameters ---------- host: str IP address for the host machine port: int Port to access HDFS data. user: str Username on Hadoop. Returns ---------- ...
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def getNumber(card): """ Get the value of a card. Parameters ---------- card : str The card we are looking at Returns ------- val : int The value of the card """ num = card[:-1] if num == 'A': return 11 elif num == 'J' or num == 'Q...
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import csv def get_analytics_account_properties_dict_from_csv(csv_file_path: str) -> dict: """ We use this dict to gather the properties by accounts. :param csv_file_path: path to the CSV file where Google Analytics Properties have previously been dumped. :return: a dict representation of the Ana...
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from typing import Counter def count_vector(text): """Creates a vector of unique words and how many times they appear.""" count_dict = Counter(text) return count_dict
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def select_trajectories(trajectories, trajectories_cost, trajectories_nb): """ Return the trajectories associated with the smallest costs. Inputs: - trajectories: list of pd.DataFrame Each element of the list is a trajectory - trajectories_cost: ndarray Array contain...
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import random import string def rand_name(len_ = 4): """generates a random string for naming recording sessions""" return ''.join(random.SystemRandom().choice(string.ascii_letters + string.digits) for _ in range(len_))
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def get_repository_and_tag_from_image_uri(image_uri): """ Return the name of the repository holding the image :param image_uri: URI of the image :return: <str> repository name """ repository_uri, tag = image_uri.split(":") _, repository_name = repository_uri.split("/") return repository...
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import glob def list_simulations(pathname): """ pathname = /mypath/element_name example: pathname = './tail_*' to list all the elements starting for "tail_" """ simlist = glob.glob(pathname) return simlist
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from typing import Sequence from typing import List def shell_sort_iter(seq: Sequence) -> List: """ Sort a sequence with the Shell sort algorithm. Parameters ---------- seq : Sequence Returns ------- List """ seq = list(seq) # copy -> purity sake size = len(seq) gap...
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import re def camelToTitle(text): """Convert camelCase `text` to Title Case Example: >>> camelToTitle("mixedCase") "Mixed Case" >>> camelToTitle("myName") "My Name" >>> camelToTitle("you") "You" >>> camelToTitle("You") "You" >>> camelToT...
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def GetDistToWrappedLimits(value, start_limit, end_limit, wrap_left, wrap_right): """Returns value for min distance from value to limits on wrapped scale. Arguments: value: Value to be evaluated. Can be list-like or single value. Values must be between wrap_left and wrap_right....
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def get_asset_dict( source_location, source_name, target_location="", target_name=None, copy_method="copy", ): """Helper function to generate asset for a particular file Args: source_location (str): path to directory containing source file source_name (str): filename of sour...
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def user_client(client, user): """Version of the client that is authenticated with the user""" client.force_login(user) return client
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def esc_regex(string: str) -> str: """Escape non-literal regex characters in a string. :param string: the string to escape characters from :return: the string with escaped characters """ return ( string.replace("[", "\\[") .replace("]", "\\]") .replace("\\", "\\\\") ...
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def create_fileters(*exts): """ Create filters for file dialog Parameters ---------- exts : list of list The list of file extension. The extension must be not included '.' [(description, extension),...] Returns ------- list of str The filters for file dialog "...
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import random def sample(value, n: int = 1): """Sample elements from array""" return random.sample(value, k=n)
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import csv def get_detected_amplicons(file): """ Parse the negative control report and obtain a list of detected amplicons. """ amplicons = set() with open(file, 'r') as ifh: reader = csv.DictReader(ifh, delimiter='\t') for record in reader: if len(record['amplicons_det...
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import csv def write_csv(file_path, data, delimiter=","): """Writes a nested list to a csv file Args: file_path (string): Absolute path of the file. Example:"C:/Users/Noctsol/Documents/somefile.csv" data (<list<list>>): Nested list of data. Example: [["header1", "header2"], ["val1", "val2"]] ...
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def swift_escape_string(s): """ Escape backslashes and double quotes in string, so it can be embedded in a literal swift string when generatig swift source code. """ s = s.replace("\\", "\\\\") s = s.replace("\"", "\\\"") return s
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def status_put_response_ok(devid, status): """Return status change response json.""" return '{"id": "' + devid + '", "status": "' + str(status) + '"}'
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def trapped_rain_water(arr): """ For an array of positive numeric values, each element of the array represents the height of terrain capable of blocking water. :param arr: an array describing terrain height :return: the volume of water trapped within the terrain described by arr """ larr = l...
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def title_invalidates_entry(title): """ Determines if the title contains phrases that indicate that the book is invalid >>> from gender_novels.corpus_gen import title_invalidates_entry >>> title_invalidates_entry("Index of the Project Gutenberg Works of Michael Cuthbert") True >>> title_invalid...
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from typing import Union from pathlib import Path def basename_sh_util(path: Union[Path, str]) -> str: """ clone of unix's "basename" grab a complete path and return only the name of the file (last / forward) """ path_string: str = str(path) # turn possible Path type into str type # if no /,...
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