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def pow__mod_c(a, k, c): """computes a^k (mod c), we assume a,k>=1, c > 1 integers""" if (k == 0): return 1 elif (k & 1): return ((a * pow__mod_c(a, k//2, c)**2) % c) else: return ((pow__mod_c(a, k//2, c)**2) % c)
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import math def _log2(n): """Returns the log base 2 of an integer.""" return math.log(n)/math.log(2)
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def mask(seq, keep_start, keep_end): """Mask the sequence leaving only [keep_start, keep_end) unmasked""" return 'N' * keep_start + seq[keep_start:keep_end] + 'N' * (len(seq) - keep_end)
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def player_turn_to_board_location(move): """Convert the players move to a board location.""" move -= 1 row, column = divmod(move, 3) return row, column
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def left(n): """Is node n a left descendant of the root in a zero-indexed boolean tree?""" while n > 2: n = (n-1)//2 return n == 1
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import yaml def parse_feature_extraction_config(file_path): """ Parse feature extraction configuration dictionary from yaml file. Args: file_path (str): path to yaml file. Returns: (dict): dictionary in specified form specifying which features to extract as well as ad...
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def lsn_to_hex(num: int) -> str: """ Convert lsn from int to standard hex notation. """ return "{:X}/{:X}".format(num >> 32, num & 0xffffffff)
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import warnings def _filter_dict(d, keys): """Filter a dictionary to contain only the specified keys. If keys is None, it returns the dictionary verbatim. If a key in keys is not present in the dictionary, it gives a warning, but does not fail. :param d: (dict) :param keys: (iterable) the desire...
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def get_esc_str(lvl=0, quote="\""): """ Returns the escape string based on the level and quote character. """ lvl = (2 ** lvl) - 1 # compute escape level using 2^n - 1 return ("\\" * lvl) + quote
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def dominated(monom, monom_set): """ Returns true iff the monom is coordinate-wise <= than one of the monoms in the set """ for m in monom_set: if all([monom[i] <= m[i] for i in range(len(m))]): return True return False
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from pathlib import Path def get_pdf_files(directory: Path) -> list: """Return list of all 'VypListek*.pdf' files in entered directory.""" files = [] directory = Path(directory) for item in directory.iterdir(): if not item.is_file(): continue if 'VypListek' in item.name an...
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def group_features_group_filter(groups, person, feature): """This returns a list of groups filtered such that the given person has a role listed in the given feature for each group.""" feature_groups = set([]) for g in groups: for r in person.role_set.filter(group=g): if r.name.slug ...
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def course_key(course): """Returns the course key. Args: course: The course object. Returns: A key that may be used to sort course objects. """ return (course.campus, course.department, course.code)
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def join_root(root, path): """Prepends `root` to the absolute path `path`. """ p_root, p_loc = path.split_root() assert p_root == b'/' return root / p_loc
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from datetime import datetime import pytz def utc_from_timestamp(timestamp: float) -> datetime: """Return a UTC time from a timestamp.""" return pytz.utc.localize(datetime.utcfromtimestamp(timestamp))
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from typing import Dict from typing import Any from typing import Tuple from typing import Optional def calculate_input_shapes( settings: Dict[str, Any] ) -> Tuple[Tuple[Optional[int], ...], Tuple[Optional[int], ...]]: """ Calculate shapes of inputs based on settings of experiment. :param setting...
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def _Call(func, name): """Call a pkg_resources function. Args: func: A function from pkg_resources that takes the arguments (package_or_requirement, resource_name); for more info, see http://peak.telecommunity.com/DevCenter/PkgResources name: A name of the form 'module.name:path/to/reso...
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def system_module(mod): """A simple way to determine if a module is a system module""" try: return "lib/python" in mod.__file__ except AttributeError: return True except TypeError: return False
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def _text(x: float, y: float, text: str, fontsize: int = 14): """Draw SVG <text> text.""" return f'<text x="{x}" y="{y}" dominant-baseline="middle" ' \ f'text-anchor="middle" font-size="{fontsize}px">{text}</text>'
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def parse_sections(lines): """Parse the input document into sections, separated by blank lines. A list of lists is returned. Each item is the list of lines for a section. """ secid = 0 section = [] for line in lines: if not line.strip(): secid += 1 continue ...
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def intersection(x1, x2): """Histogram Intersection Parameters ---------- x1: numpy.ndarray Vector one x2: numpy.ndarray Vector two Returns ------- distance: float Histogram intersection between `x1` and `x2` """ assert(len(x1) == len(x2)) minsum = 0...
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def i2u(x): """Converts an integer array to a unicode string.""" return bytearray(x).decode('utf-8')
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def classify(s, data_set, suffixes=None): """ Return True or some classification string value that evaluates to True if the data in string s is not junk. Return False if the data in string s is classified as 'junk' or uninteresting. """ if not s: return False s = s.lower().strip('/')...
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def convert_angle(start, end): """開始角startと終了角endを適正に変換する start -60, end 60をstart 300, end 420とする Args: start (int): ポリゴンの開始角 end (int): ポリゴンの終了角 Returns: int, int: start, endを0以上の数値に変換した値 """ if start < 0: start = 360 + start if start > end: end = e...
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def version_to_float(version): """ Convert version string to float. """ if version.endswith('b'): return float(version[:-1]) return float(version)
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import math def bl_area(sides: list) -> float: """ This function calculate area of triangle. :param sides: List of 3 sides of triangle :return: Area of triangle """ half_perimeter = (1 / 2) * (sides[0] + sides[1] + sides[2]) return math.sqrt( half_perimeter * (half_perimeter - side...
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def regex_remove_df_columns(df, search_string_list): """ Remove columns in a dataframe based on a list of search strings :param df: Pandas dataframe :param search_string_list: A list of regex strings to search for. Columns matching these will be removed """ for search_string in search_string...
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import io def get_df_as_file(df, float_format='%.f'): """ Returns a string buffer of the dataframe """ string_buffer = io.StringIO() df.to_csv( string_buffer, sep='\t', na_rep='Unknown', index=False, header=False, float_format=float_format ) string_...
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import math def kernel(x, f, *args): """ The kernel function :param x: float. Gaussian deviate :param f: function to integrate :param args: list. Additional arguments for function f :return: float """ return 1.0 / ((2.0 * math.pi) ** 0.5) * f(x, *args) * math.exp(-0.5 * x ** 2)
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import requests def _request(url: str, token: str, params: dict) -> requests.Response: """ Creates a request for the Species+/CITES checklist API and handles HTTP exceptions. Parameters ---------- url Species+/CITES checklist API endpoint. token Species+/CITES checklist AP...
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def flatten_image_arrays(imarrays): """Given a 3d array of images (array of 2-dim arrays), flatten it to a 2d array (array of 1-dim arrays)""" return imarrays.reshape(imarrays.shape[0], -1)
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import re def _vtx_enabled(g): """Detect if system supports VTx using /proc/cpuinfo.""" regex = re.compile("svm|vtx") with open("/proc/cpuinfo") as f: for line in f: if regex.search(line) is not None: return True return False
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import glob def get_video_sequence(path): """ Returns a list of the pahts of all frames in the video. Input: path - String defining the path to the sequence of frames Return: video_sequence - List containing the paths of all frames in the sequence as String """ return [frame_...
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import time def repeat_execution(fct, every_second=1, stop_after_second=5, verbose=0, fLOG=None, exc=True): """ Runs a function on a regular basis. The function is not multithreaded, it returns when all execution are done. @param fct function to run @...
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def print_chunks(client, num=-1): """ Prints a list of the [num] most recently learned chunks (or all if num=-1)""" chunks = client.execute_command("pc").split("\n") if num > 0: chunks = chunks[0:num] return "\n".join(reversed(chunks))
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def split_metrics_by_namespace_and_name(metrics, namespace, name): """Splits metrics list namespace and name. Args: metrics: list of metrics from pipeline result namespace(str): filter metrics by namespace name(str): filter metrics by name Returns: two lists - one of metrics which are matching f...
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import itertools def common_age(a, b): """ Calculates the number of ages in common between two lists of ages. Allows for ages to be one year apart. Parameters ---------- a: list list of age strings to be compared to b b: list list of age strings to be compared to a Ra...
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def split_dict(dic, *keys): """Return two copies of the dict. The first will contain only the specified items. The second will contain all the *other* items from the original dict. Example:: >>> split_dict({"From": "F", "To": "T", "Received", R"}, "To", "From") ({"From": "F", "To": ...
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import math def distance_bw_points(alpha, beta): """Takes two points, alpha and beta, and returns a float according to their Euclidean distance. alpha, beta: Point objects """ x1, y1 = alpha.x, alpha.y x2, y2 = beta.x, beta.y distance = math.sqrt((x2-x1) ** 2 + (y2-y1)**2) return dist...
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from functools import reduce def attrgetter(item, default=''): """operator.attrgetter with a default value.""" reducer = lambda obj, name: getattr(obj, name, default) return lambda obj: reduce(reducer, item.split('.'), obj)
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def zero_size_pairs(width, height): """Creates a generator which yields pairs of sizes. For each pair of sizes at least one of the sizes will have a 0 in it. """ sizes = ((width, height), (width, 0), (0, height), (0, 0)) return ((a, b) for a in sizes for b in sizes if 0 in a or 0 in b)
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def createBoundaries4Colorbar(df, step): """ Create list of boundaries for colorbar. :param pandas.DataFrame df: Data frame with 4 columns (sizes, labels, ranks, colors). Created by orsum_readResultFile() function. :param int step: Difference between each number in the sequence. :returs: **boundariesCB** (*list*...
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def diff(old, new): """Returns the set of differences between two C{dict}s. @return: A 3-tuple of dicts with the changes that would need to be made to convert C{old} into C{new}: C{(creates, updates, deletes)} """ new_keys = set(new.iterkeys()) old_keys = set(old.iterkeys()) creates = ...
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import base64 def decode_base64(data): """Decodes a base64 string to binary.""" data = data.replace("\n", "") data = data.replace(" ", "") data = base64.b64decode(data) return data
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def log_on_response_code(response, log, msg, code): """ Log `msg` if response.code is same as code """ if response.code == code: log.msg(msg) return response
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def _mangle_attr(name): """ Mangle attributes. The resulting name does not startswith an underscore '_'. """ return 'm_' + name
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def pad(text, min_width, tabwidth=4): """ Fill the text with tabs at the end until the minimal width is reached. """ tab_count = ((min_width / tabwidth) - (len(text) / tabwidth)) + 1 return text + ('\t' * int(tab_count))
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def cat_replace(m, cats): """Replaces categories with regular expressions that will match them. Args: m: The match object. It should have two groups, the first one a (possibly zero-length) string of digits (the number for a numbered category), and the second a string of word cha...
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def coerce(P, x): """ Coerce ``x`` to type ``P`` if possible. EXAMPLES:: sage: type(5) <type 'sage.rings.integer.Integer'> sage: type(coerce(QQ,5)) <type 'sage.rings.rational.Rational'> """ try: return P._coerce_(x) except AttributeError: return ...
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def uppercase(string: str): """Safely recast a string to uppercase""" try: return string.upper() except AttributeError: return string
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import re def get_subject_line(message): """Separate commit subject from the commit type""" if message: subject = re.split(': |] ',message)[1] return subject
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def package_url(package_name): """Return PyPi package URL for given package name.""" return 'https://pypi.python.org/pypi/%s/' % package_name
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def is_model_on_gpu(model): """ Function to check whether given model is created on GPU or CPU Assumption : model is on single device :return: True if the model is on GPU, False if on CPU """ return next(model.parameters()).is_cuda
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def add_price(price: float, man_value: float, reduce_value: float): """ Use full discount coupons to calculate the hand price. :param price: goods price :param man_value: minimum limit price :param reduce_value: discount price :return: real price """ num = 1 if price <= 0: re...
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def envi_hdr_info(filename): """Returns a dict of envi header info. All values are strings.""" with open(filename,'r') as fid: x = [line.split("=") for line in fid] envi_info = {a[0].strip(): a[1].strip() for a in x if len(a) ==2} return envi_info
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def truncate(s, length): """Truncate a string to a specific length The result string is never longer than ``length``. Appends '..' if truncation occurred. """ return (s[:length - 2] + '..') if len(s) > length else s
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def source_information_from_method(source_method): """Obtain source information from a method of a source object. :param source_method: Source method that is used :type source_method: method :returns: string with source information identifying the object that the method belongs to :rtype: str ...
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def get_event_description(e): """Return the description field for the event.""" return e.get('description')
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def get_references(name, references): """Generate section with references for given operator or module""" name = name[12:] # remove nvidia.dali prefix result = "" if name in references: result += ".. seealso::\n" for desc, url in references[name]: result += f" * `{desc} <....
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def make_options_bank_drop(values): """ Helper function to generate the data format the dropdown dash component wants """ ret = [] for value in values: ret.append({"label": value, "value": value}) return ret
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from typing import Iterable def round_values(data, places=3): """ Round values in nested structures Args: data: Value / structure with values places (int): Decimal places Returns: Rounded value / Structure with rounded values """ if isinstance(data, dict): ret...
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from typing import Iterable from typing import List def sort_unique_lex(iterable: Iterable) -> List: """Return list in lexically ascending order and without duplicate entries.""" unique = set(iterable) return sorted(unique)
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def sequential_weighted_avg(x, weights): """Return a sequence by weighted averaging of x (a sequence of vectors). Args: x: batch * len2 * hdim weights: batch * len1 * len2, sum(dim = 2) = 1 Output: x_avg: batch * len1 * hdim """ return weights.bmm(x)
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import math def hosts_from_prefixlength(prefixlength): """Calculate the number of hosts supported ia given prefix length. Args: prefixlength (int): CIDR mask to find the number of supported hosts. Returns: hosts (int): The number of hosts in a subnet the size of a given prefix length (m...
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def find_height_profile_dimension(dat_file): """Find the dimension of the provided height profile .dat file. 1D files have 2 columns, 2D - 8 columns. Args: dat_file (str): full path to height profile .dat file. Returns: dimension (int): found dimension. """ with open(dat_file, ...
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def _get_last_doc_ref(path, doc): """Mutate a document top-down using a path. :param pathlib.Path path: The path. :param dict doc: The document. :rtype: dict """ for part in path.parts: if part not in doc: doc[part] = {} doc = doc[part] return doc
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def set_var_conditional(context, condition=None, condition_var=None, compare=None, else_value=None, **kwds): """ Sets the given variables to provided values. Kind of like the 'with' block, only it isn't a block tag :param context: template context (automatically provided by django) :param kwds: named p...
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import re def gruppercase(value): """Correctly uppercases all Gr characters in a string""" grletters = [u'α', u'β', u'γ', u'δ', u'ε', u'ζ', u'η', u'θ', u'ι', u'κ', u'λ', u'μ', u'ν', u'ξ', u'ο', u'π', u'ρ', u'σ', u'τ', u'υ', u'φ', u'χ', u'ψ', u'ω'] grletters_accent = [u'ά', u'έ', u'ή', u'ί', u'ό', u'ύ', u...
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def make_unique_node(graph, name): """ Add as much postfix-'_' to `name` as necessary to make unique name for new node in `graph`. Parameters ---------- graph : nx.Graph graph, for which the node is created. name : str name of new node. Returns ------- Resulting name. C...
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def get_crate_from_line(line): """Get crate name from use statements""" if not line.startswith("use "): return None if line.startswith("use crate"): # will handle this better later return None return line[4:-1]
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def scale_edge_weights(edge_weights, w): """ Scales all the edge-weights described by a dictionary. """ edge_weights2 = {} for (n1, n2) in edge_weights.keys(): edge_weights2[(n1, n2)] = w * edge_weights[(n1, n2)] return edge_weights2
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from typing import Any from typing import Dict import yaml def load_yaml(yaml_filepath: str, safe_load: bool = True, **kwargs: Any) -> Dict: """ Load a YAML file. Parameters ---------- yaml_filepath : str safe_load : bool, optional (default: True) This triggers the usage of yaml.safe_...
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def remove_port_parameter(sw, port, col, keys): """Removes 'keys' in 'col' section from 'port' on 'sw'.""" cmd = "remove port %s %s %s" % (port, col, ' '.join(map(str, keys))) return sw(cmd, shell='vsctl')
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def rectSet(rectList): """Returns a list of rect without doublons""" toReturn = [] for rect in rectList: if rect not in toReturn: toReturn.append(rect) return toReturn
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import re def remove_block(text, block_tag): """Remove the specified block from the template text. A block is marked by [[block_name]]block contents[[/block_name]]. Parameters ---------- text : str The template text to remove the block from. block_tag : str The name of th...
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def get_line_data(line): """get the data from a line""" if line.old_lineno == -1: status = "i" elif line.new_lineno == -1: status = "d" else: status = None return {"status": status, "content": line.content}
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from typing import Sequence from typing import List from typing import Tuple from typing import Dict import copy import random def configuration_model( *, degrees: Sequence[int], max_trials: int = 10, max_fails: int = 1000 ) -> List[Tuple[int, int]]: """Configuration model from degree list. Generates und...
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from typing import List from pathlib import Path def get_filepaths(tutor_data_path: str) -> List[Path]: """ Get the paths of the .npy data files in the directory, with recursive effect. Parameters ---------- tutor_data_path : str String representing the directory path. Returns ...
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def subreadNamesToZmwCoverage(qnames): """From list of PacBio subread names, report number of ZMWs represented QNAME of a PacBio subread has the following convention: {movieName}/{holeNumber}/{qStart}_{qEnd} We want to count the number of holes (ZMWs), because a given hole may result in multiple s...
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def prevent_sentence_boundary_detection(doc): """ Disable the sentence splitting done by Spacy More info: https://github.com/explosion/spaCy/issues/1032 :param doc: a Spacy doc :return: a disable sentence splitting Spacy doc """ for token in doc: # This will entirely disable spaCy's ...
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def _classdir(klass): """Return a set of the accessible attributes of class/type klass. This includes all attributes of klass and all of the base classes recursively. """ names = set() ns = getattr(klass, '__dict__', None) if ns is not None: names.update(ns) bases = getattr(klas...
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import uuid def _get_random_string() -> str: """Create random string to be used.""" return uuid.uuid4().hex
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def align_corpora(old_corpus, new_corpus, remove_empty=True): """Takes two Corpus objects `old_corpus` and `new_corpus` and returns a copy of `new_corpus` with the following modifications: (1) the word to integer mapping agrees with that of `old_corpus` and (2) words in `new_corpus` which do not appear ...
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import re def get_metrics_lines(lines): """ Return subset of lines corresponding to relevant metrics data. """ metrics_start = [idx for idx, l in enumerate(lines) if re.search('^## METRICS CLASS', l)][0] metrics_end = metrics_start + 3 return lines[metrics_start:metrics_en...
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def simple_validator_cmds(*args, **kwargs): """Used with SetSawtoothHome in integrationtools, to have more control at the test file level over how the validator is started. Returns: str : The validator startup command. """ return ['sawtooth-validator -v']
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import itertools def next_data(it): """ Advances an iterator until new data is found. :param it: Character iterator. :returns: Data found. """ quotation_mark = lambda c: c != '"' data_begin = itertools.dropwhile(quotation_mark, it) next(data_begin) data = itertools.takewhile(qu...
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def treatment_link(flora_id, taxon_id): """Build a link to the treatment page.""" return ('http://www.efloras.org/florataxon.aspx?' rf'flora_id={flora_id}&taxon_id={taxon_id}')
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def dims_to_targetshape(data_dims, batch_size=None, placeholder=False): """Prepends either batch size/None (for placeholders) to a data shape tensor. Args: data_dims: list, indicates shape of the data, ignoring the batch size. For an RGB image this could be [224, 224, 3] for example. batch_size: scal...
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def format_number(number): """ Formats a number to a more readable format; 10000 -> 10,000 """ if isinstance(number, int): return '{:,d}'.format(number) if number is None: return 'Unknown' return '{:3.2f}'.format(number)
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import json def derive_mapping_dict(obj): """Fetch the mapping dict from an object :param obj: The mapping object :type obj: :return: Mappings dict :rtype: `dict` """ if obj: pdict = dict(obj.__dict__) pdict.pop("_sa_instance_state", None) # If output is present, j...
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from pathlib import Path def filesize(fname): """ Simply returns the size of the file fname in bytes """ return (Path(fname).stat().st_size)
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def sort_proxy_stats_rows(proxy_stats, column): """ Sorts proxy statistics by specified column. Args: proxy_stats: A list of proxy statistics. column: An int representing a column number the list should be sorted by. Returns: A list sorted by specified column. """ return sorted(proxy_stats, ke...
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def __getpixel(image, x, y): """ Get pixel from image at given (x, y) coordinate. If given coordinate is out of range, returns a non-stroke pixel. Arguments: image -- The PIL image object. x -- X coordinate of the pixel. y -- Y coordinate of the pixel. """ if x >= 0 and x < imag...
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def word_to_bag(word): """ Convert word to bag-of-chars. """ return ''.join(sorted(set(word)))
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def load_rfam_urs_accessions_from_file(urs_acc_list): """ Loads all existing Rfam URS accessions in a python dictionary urs_acc_list: A .txt file with all URS accession already in Rfam return: A python dictionary with all URS accessions as keys. """ rfam_urs_accs = {} fp = op...
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import math def degrees(rad_angle) : """Converts and angle in radians to degrees, mapped to the range [-180,180]""" angle = rad_angle * 180 / math.pi #Note this assume the radians angle is positive as that's what MMTK does while angle > 180 : angle = angle - 360 return angle
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def audit(log): """ Single method to ensure that the log object is an audit log (by binding the audit log param) :param log: a bound log object :returns: a bound log object with keyword that specifies it as an audit log already bound """ return log.bind(audit_log=True)
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def conditions(ctx): """ Tests for stack to verify that our glitch worked ie. a fault occured during the AES computation """ buff = bytes(ctx['stack'][192:208]) if buff.hex() == "3ad77bb40d7a3660a89ecaf32466ef97": return False else: return True
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from pydantic import BaseModel # noqa: E0611 def get_model_defaults(model_class: BaseModel): """Return the default values for fields in a Pydantic BaseModel. If a field doesn't have a default then return None. Default values may also be None. Returns ------- dict """ return {x: y.ge...
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def create_locations(client, create_smb=False, create_s3=False): """ Convenience function for creating locations. Locations must exist before tasks can be created. """ smb_arn = None s3_arn = None if create_smb: response = client.create_location_smb( ServerHostname="host...
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