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def read_transformation_txt_file(transformation_file): """ Extracts transformation parameters from the transformation file and packs them into an returns them as a dictionary. :param transformation_string: the contents of the transformation file. :type: transformation_string: string :return: A...
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from typing import OrderedDict def network_to_phenotype(net): """Converts a network instance to a phenotype representation, i.e. a structure dictionary. Arguments ---------- net: EvoNet instance The network to convert. Returns ---------- An ordered dictionary. Phenot...
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def list_valid_tags(): """ List of tags permitted in book content. Reference: https://kdp.amazon.com/en_US/help/topic/G200673180 """ return ['a', 'b', 'big', 'blockquote', 'body', 'br', 'center', 'cite', 'dd', 'del', 'dfn', 'div', 'em', 'font', 'head', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'hr', 'html...
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def join_neighs_OR_notrelpos(idxs0_ki, idxs1_ki): """Join neighs with OR. Parameters ---------- idxs0_ki: list or np.ndarray the indices of the neighs of neighbourhood0 idxs1_ki: list or np.ndarray the indices of the neighs of neighbourhood1 Returns ------- neighs: list...
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def power_digit_sum(base, power): """Return the sum of the digtis in base**power""" return sum([int(x) for x in list(str(base**power))])
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def upsert(manager, defaults=None, updates=None, **kwargs): """ Performs an update on an object or an insert if the object does not exist. :type defaults: dict :param defaults: These values are set when the object is inserted, but are irrelevant when the object already exists. This field sh...
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def eval_callbacks(callbacks, record, logbook, estimator): """Evaluate list of callbacks on result. Parameters ---------- callbacks : list of callables Callbacks to evaluate. record : logbook record logbook: Current stream logbook with the stats required estimator: :class...
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def sizeStr(size): """Returns formatted string of a byte size Args: size (int): size in bytes Returns: string: Size with appropriate byte suffix """ prefixes = ["B", "KB", "MB", "GB", "TB"] exponent = 0 while size > 1024: size /= 1024 exponent += 1 pr...
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import re def separate_words(txt: str) -> dict[str, int]: """ splits words by white space and count repetition """ # replace anything except words with whitespace: txt = re.sub(r'[^\w]', ' ', txt) words_repetition = dict[str, int]() for word in txt.split(): if not words_repetition.get(wo...
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def ctz_naive(x, w=16): """ counting zeros starting at the LSB until a 1-bit is encountered """ if x == 0: return w t = 1 r = 0 while x & t == 0: t <<= 1 r += 1 return r
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import torch def create_positive_map(tokenized, tokens_positive): """construct a map such that positive_map[i,j] = True iff box i is associated to token j""" positive_map = torch.zeros((len(tokens_positive), 256), dtype=torch.float) for j, tok_list in enumerate(tokens_positive): for (beg, end) in...
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import re def get_grammatical_function(attributes): """ Compute the grammatical function of a mention in its sentence. Args: attributes (dict(str, object)): Attributes of the mention, must contain a value for "parse_tree". Returns: str: The grammatical function of the mention...
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def goodMatchGeneralized(matchlist,thresh=10): """This function looks through all the edit distances presented in the list 'matchlist', and returns the smallest one, or -1 if they are all -1 or all above thresh""" bestmatch = -1 minimatch = thresh+10 for match_index in range(len(matchlist)): ...
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def cap_sentence(s): """ * Remove extra space * Lower all letters if word.isupper() and len(word) > 3 * Capitalize the first letter of each word """ sentence = " ".join( [c.lower() if c.isupper() and len(c) > 3 else c for c in s.split()] ) return "".join( c.upper() if i =...
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def pca_test(new_data, mean_vecs, eig_vecs): """ 输入:新样本new_data、均值向量mean_vec、和投影向量eig_vec 输出:投影后的数据 """ # 数据中心化 centralized_data = new_data - mean_vecs # 降维 return centralized_data.dot(eig_vecs)
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def blanks(i): """ Return i number of blank spaces Used in places where reading number of blanks is tough """ return ''.join(' ' * i)
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def simplify_replacements(replacements): """ Simplify a list of replacement patterns to make sure there are no needless ones. For instance in the sequence "Bert->BertNew, BertConfig->BertNewConfig, bert->bert_new", the replacement "BertConfig->BertNewConfig" is implied by "Bert->BertNew" so not needed....
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def huffman_code_tree(node, left=True, binary_value=''): """This function takes in a list of titles and the final list that contains the final truth table. Depending on which integer was entered. Args: node = nodes in the tree left = left direction boolean binary_value = binary plac...
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from typing import Dict def generate_disjoint_sets(categories: list, freq_table: Dict[str, Dict[str, int]]): """ Given a list of categories. The frequency table is a dictionary where the keys are categories, and the values are the frequency tables (key: word, value: frequency). The function removes words ...
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import os def detect_symlinks(dir_path, link_name=None, symlink_as_file=True): """ Recursively walk the given directory looking for symlinks. Return a list of tuples containing the symlinks and the link targets (e.g., (('/mnt/galaxyTools/tools/pass/default', '/mnt/galaxyTools/tools/pass/2.0'))). I...
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import re def _transform_file_name_to_migration_name(name): """extracts from filename migration name :param name: filename :type name: string :returns: Transformed filename :rtype: string """ return re.sub(r'\.(up|down)\.sql$', '', name)
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def fluxv(self, **kwargs): """Calculates the flux passing through a closed contour. APDL Command: FLUXV Notes ----- FLUXV invokes an ANSYS macro which calculates the flux passing through a closed contour (path) predefined by PATH. The calculated flux is stored in the parameter FLUX. In a...
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import glob import os def list_files(directory): """Returns files in a given directory Default only splits annotated images, if no annotations are found then all images are split. """ files = glob.glob(os.path.join(directory, '*.json')) if len(files) == 0: files = glob.glob(os.path.join(di...
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import requests def call_api(url): """Calls API and returns info from that""" req = requests.get(url) return req
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import uuid import random def make_ds_id() -> str: """Generate a dataset ID like DataLad would. This is intended for lightweight tests that don't create full-fledged datasets. """ return str(uuid.UUID(int=random.getrandbits(128)))
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import torch def combine_initial_dims_to_1d_or_2d(tensor: torch.Tensor) -> torch.Tensor: """Given a (possibly higher order) tensor of ids with shape (d1, ..., dn, sequence_length) Args: tensor: torch.Tensor: Returns: If original tensor is 1-d or 2-d, return it as is. """ if ten...
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def is_object_translated(verbose, object_id, strings_by_object): """ Checks if there are any translations for the given file id """ if object_id in strings_by_object: return True if verbose: print(f"No translations for {object_id} in dump file -- skipping") return False
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def median_val(vals): """ :param vals: an iterable such as list :return: the median of the values from the iterable """ n = len(vals) sorted_vals = sorted(vals) if n % 2 == 0: return (sorted_vals[n // 2] + sorted_vals[n // 2 - 1]) / 2 else: return sorted_vals[n // 2]
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def extension(path_): """Returns extension from given path. Skips end slash if any.""" if path_.endswith('/'): path_ = path_[:-1] filename = path_.split('/')[-1] if not '.' in filename: return None return '.'+filename.split('.')[1]
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def column_dict_to_str(columns, add_select=True): """ Convert the dictionary of columns into a SQL search SQL. """ col_str = ', '.join(["{0} AS {1}".format(v, k) for k, v in columns.items()]) if add_select: return 'SELECT ' + col_str return col_str
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def has_workflow_stage(artifact, workflow_step_name): """ Checks that the artifact's sample's root artifact has been through the given workflow. :return True if it has False otherwise """ for w, status, name in artifact.samples[0].artifact.workflow_stages_and_statuses: if name == workflow_st...
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def check_all_edges_marked( graph: dict[int, list[int]], marked_edges: dict[int, list[int]], ) -> bool: """ >>> check_all_edges_marked( ... {0:[1], 1:[0]}, ... {1:[0], 0:[1]} ... ) True """ for vertex, neighbours in graph.items(): for neighbour in neig...
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import collections def build_vocab(data): """Build vocabulary. Given the context in list format. Return the vocabulary, which is a dictionary for word to id. e.g. {'campbell': 2587, 'atlantic': 2247, 'aoun': 6746 .... } Parameters ---------- data : a list of string the context in ...
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def instrumented_stage(args, stage): """ Returns true if we are using PGO and on stage 2 :param args: The args variable generated by parse_parameters :param stage: What stage we are at :return: True if using PGO and on stage 2, false if not """ return args.pgo and stage == 2
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def simple_1arg_default(hello: str = "default"): """This will print hello. Args: hello: Your name. """ return f"Hello {hello}"
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def get_data_science_bookmarks(bookmarks): """Function to select the top level data science folder of bookmarks. Returns the first element of bookmarks where 'Data Science' is one of the keys. """ for item in bookmarks: if type(item) is dict: if 'Data Science' in item.keys():...
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from pathlib import Path def project_path() -> Path: """Find project directory.""" current_dir = Path.cwd() if (current_dir / 'pyproject.toml').exists(): return current_dir raise ValueError('This is not a project dir!')
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def _violate_descending(values, descending): """ Check if values violate descending restrictions. """ for i in descending: if values[i - 1] < values[i]: return True return False
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def multivariate_regression_predict(X, w_opt): """Predict with multivariate regression. Arguments: X {DataFrame} -- Independent variables. w_opt {ndarray} -- Parameter values. Returns: ndarray -- Predicted values. """ X = X.values y_pred = X.dot(w_opt) return y_pre...
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def _str_to_float(string, exception=None): """Convert string to float. Return `exception_value` if failed. Args: string (str): Input string. exception (): Exceptional value returned if failed. Returns: int: """ try: return float(string) except: return ex...
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import zlib import pickle def zdumps(obj): """ Pickle and compress :param obj: a python object :return: compressed string """ return zlib.compress(pickle.dumps(obj, pickle.HIGHEST_PROTOCOL), 9)
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import os def get_example_config( data_dir ): """ Patameters ---------- data_dir: path path to input raster layers Returns ------- dict example configs """ files = [ os.path.join(data_dir, f) for f in os.listdir( data_dir )] config_ex = { 'Target_r...
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import tempfile, os, shutil def createSampleAssembly(workdir, template_dir, sa_xml): """Create a sampleassembly folder in the workdir using files in template directory and the given sampleassembly.xml file return the path to the new directory """ d = tempfile.mkdtemp(dir=workdir) for fn in os....
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from typing import Tuple from typing import Optional def _parse_url(url : str) -> Tuple[str,int,Optional[str]]: """ Parses the url in the following format if authentication enabled: tcp://<hostname/url>:<port>?token=<token> If authentication is not enabled, the url is expected to be in the format: ...
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def plur_simple(cardinality: int, word: str, suffix="s"): """Pluralises words that just have a suffix if pluralised.""" if cardinality - 1: word += suffix return f"{cardinality} {word}"
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from typing import List def get_model_names() -> List[str]: """ :return: """ model_names = ['baseline', 'no_label_smoothing', 'dry_run', 'slice_dev', 'slice_dev+optimize', 'domain_robustness'] noise_probabilities = "0.001 0.005 0.01 0.05 0.075 0.1 0.25 0.5".split(" ") for noise_probability ...
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import requests def get_data(url: str): """Get the data from the url. :param url: The link used to get the data. :return: The raw response from requests. """ response = requests.get(url, stream=True) return response.raw
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def escape_mongokey(key): """Escape keys when serializing database entries.""" return key.replace('$', u'\uff04').replace('.', u'\uff0e').replace(' ', '_')
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import math def calculate_revised_bitrate (video_bitrate, video_target_size, video_actual_size): """This calculates a revised video bitrate given the video_bitrate used, the actual size that resulted, and the video_target_size. This can be used if you want to compress the video all over again in an at...
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def get_links(soup): """Gets the story links from the given hacker soup.""" links = soup.select(".storylink") return links
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def get_tg_formatted_text(text: str) -> str: """ Форматированный текст в телеграмме (html) """ return f"<pre>{text}</pre>"
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def print_tag_info(tag): """Print the information currently stored in the Tag object.""" info = "" attributes = ['id', 'time', 'ant'] for a in attributes: if hasattr(tag, a): info += "%s=%s, " %(a,str(getattr(tag, a))) info = '<RFID Tag: '+info[:-2]+'>' return info ...
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def immutable_dict_2_dict(imm_dict): """ Function to convert an Immutable Dictionary to a Mutable one Convert multi valued and keys ending with [] to lists """ m_dict = {} for key, val in imm_dict.to_dict(flat=False).items(): if len(val) > 1 or key.endswith('[]'): m_dict[key.str...
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def mock(df, config, dataframes): """ Creates a column with only one value. "mock": { "mocked_column": True } """ for column, value in config.mock.items(): df[column] = value return df
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def fontInfoStyleMapStyleNameValidator(value): """ Version 2+. """ options = ["regular", "italic", "bold", "bold italic"] return value in options
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def _cache(f): """Decorator to cache return value of a function.""" cached = {} def cached_function(): """Cache return value in closure before calling function.""" if 'value' not in cached: cached['value'] = f() return cached['value'] return cached_function
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def make_list(var): """ Convert a variable to a list with one item (the original variable) if it isn't a list already. :param var: the variable to check. if it's already a list, do nothing. else, put it in a list. :return: the variable in a one-item list if it wasnt already a list. """ if...
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import json def get_info(): """ 获取所有图片组的信息 """ res = [] with open('data/info.txt', 'r') as f: for line in f: data = json.loads(line) res.extend(data['data']['list']) return res
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def _all_slice(obj): """ Returns True if all the elements in the object are slices else return False """ result = False if not isinstance(obj, (tuple, list)): return result result |= all(isinstance(o, slice) for o in obj) return result
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import argparse from pathlib import Path def create_arg_parser(): """" Creates and returns the ArgumentParser object. """ parser = argparse.ArgumentParser(description='Calculates image brightness on scale of 1 to 10.') parser.add_argument("--input_path", type=Path, help="Input image path") ret...
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def win_safe_name(trackname): """Edit the track name so as the resulting file name would be allowed in Windows. """ # In order: strip the whitespace at both ends, replace a trailing # full stop by an underscore. Replace any forbidden characters by # underscores. trackname = trackname.strip(...
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import re def clean_path(dirty): """Convert a string of python subscript notation or mongo dot-notation to a list of strings. """ # handle python dictionary subscription style, e.g. `"['key1']['key2']"`: if re.match(r'^\[', dirty): return re.split(r'\'\]\[\'', re.sub(r'^\[\'|\'\]$'...
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def is_primitive(pyobj): """Determine if pyobj is one of (what other languages would deem) a primitive""" if type(pyobj) in (int, float, bool, str, bytes): return True else: return False
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def _next_significant(tokens): """Return the next significant (neither whitespace or comment) token. :type tokens: :term:`iterator` :param tokens: An iterator yielding :term:`component values`. :returns: A :term:`component value`, or :obj:`None`. """ for token in tokens: if token.type ...
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import os def printable_path(dirpath): """Replace $HOME with ~.""" return dirpath.replace(os.getenv('HOME'), '~')
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def state2feature(key): """ @return: the feature string from the given key @rtype: str """ index = key.find("'") if index < 0: return key else: return key[index+3:]
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import itertools def compact_batches(batches): """Pack down batches to lists of continuous batches.""" return [ [x[1] for x in g] for k, g in itertools.groupby(enumerate(batches), lambda i_x: i_x[0] - i_x[1]) ]
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from typing import Sequence from typing import Tuple from typing import Optional def _shift_to_tensor_domain( axis: int, key: Sequence[slice], tensor_domain: Sequence[slice], ) -> Tuple[slice, ...]: """Shift the slice to the tensor domain. Args: axis: The chunked axis. key: The sl...
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def validate_yes_no(value): """Validate yes-no question""" if isinstance(value, bool): return value if value is None or value == "<ask>": return value check_value = value.strip().lower() if check_value in ("", "y", "yes", "t", "true", "1"): return True if check_value in (...
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def korean_year(cycle, year): """Return equivalent Korean year to Chinese cycle, cycle, and year, year.""" return (60 * cycle) + year - 364
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def fmt_bytes(bytes: int) -> str: """ Prints out a human readable bytes amount for a given number of bytes """ if bytes > 1000000000: return '{:.2f} GB'.format(bytes / 1000000000) if bytes > 1000000: return '{:.2f} MB'.format(bytes / 1000000) if bytes > 1000: return '{:.2...
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def juris_dependency_dictionary(): """Certain fields in jurisdiction files refer to other jurisdiction files. E.g., ElectionDistricts are ReportingUnits""" d = {'ElectionDistrict':'ReportingUnit','Office':'Office','PrimaryParty':'Party','Party':'Party', 'Election':'Election'} return d
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def __k_chk(k): """ Ensures a kelvin value is not below absolute zero. If it is not, we raise a ValueError instead. If it is valid, we return it. """ if k < 0: if k % 1 == 0: k = int(k) raise ValueError(f'{k}K is below absolute zero, and is invalid.') return k
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def rounded(n, base): """Round a number to the nearest number designated by base parameter.""" return int(round(n/base) * base)
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import os import json def _CreateSourcesJsonFile(source_dirs, input_path, sources_json_file, src_root): """Adds all normalized source directories and input path to |sources_json_file|. Args: source_dirs: List of source directories. input_path: The input path to non-instrument...
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def to_decimal(num, base, alphabet='0123456789abcdefghijklmnopqrstuvwxyz'): """Converts a number from some base to decimal. alphabet: 'digits' that the base system uses""" using = str(num)[::-1] res = 0 for i in range(len(using)): res += alphabet.find(using[i])*base**i return res
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import math def coding_problem_40(numbers): """ Given an array of integers where every integer occurs three times except for one integer, which only occurs once, find and return the non-duplicated integer. Do this in O(N) time and O(1) space. Examples: >>> coding_problem_40([6, 1, 3, 3, 3, 6, 6])...
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def bits_to_array(num, output_size): """ Converts a number from an integer to an array of bits """ ##list(map(int,bin(mushroom)[2:].zfill(output_size))) bit_array = [] for i in range(output_size - 1, -1, -1): bit_array.append((num & (1 << i)) >> i) return bit_array
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def get_vis_node_info(node, options): """calculate the dict that will represent a node.""" node_label = next(iter(node.labels()), "") prop_key = options.get(node_label) vis_label = node.get(prop_key, "") return {"id": id(node), "label": vis_label, "group": node_label, "title": repr(node)}
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def _swap_curly(string): """Swap single and double curly brackets""" return (string .replace('{{ ', '{{') .replace('{{', '\x00') .replace('{', '{{') .replace('\x00', '{') .replace(' }}', '}}') .replace('}}', '\x00') .replace('}'...
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import re def fix_format(to_process): """ Fixes weird formatting in the NIOSHTIC output. @param to_process: string representing the file being cleaned @return more consistently formatted string """ DIVIDER = "++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++" cleaned_stri...
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import copy def build_common_config(config, model_config): """ Build a common run configuration for each model :param config: A Plot Generation Config :return: A common run config """ model_name, run_num, agent_ens, adversary_ens, voted = model_config config_base = copy.deepcopy(config) ...
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import pickle def read_chains(in_dir): """Read chains file.""" pickle_in = open(in_dir, 'rb') chains = pickle.load(pickle_in) pickle_in.close() return chains
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import numpy as np def dfa(X): """ Use: Fn, N = dfa(X) This function calculates the rescaled range R(n)/S(n) of X by detrended fluctuation analysis. Method found at https://en.wikipedia.org/wiki/Detrended_fluctuation_analysis Input: X: Time series .....................................
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def _convert_pandas_csv_options(pandas_options, columns): """ Translate `pd.read_csv()` options into `pd.DataFrame()` especially for header. Args: pandas_options (dict): pandas options like {'header': None}. columns (list): list of column name. """ _columns = pa...
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def ask_player_for_location(player): """Ask the player where they would like to use their turn""" move = None while not move: try: move = int(input(f"{player} where would you like to go? ")) if move not in range(1, 10): move = None raise ValueE...
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import itertools def add4bitSbox(sbox, variables): """ Adds the constraints for the S-box and the weight for the differential transition. sbox is a list representing the S-box. variables should be a list containing the input and output variables of the S-box and the weight variables. S(...
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def get_data(base_url): """ This just inserts a hardcoded introspection string for the baseurl. """ return [ { "api_version": "v1", "available_api_versions": { "v1": base_url+"v1/", }, "formats": [ "json", ], "entry_types_by_format": { "js...
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from numpy import random def getsky(data): """ Determine the sky parameters for a FITS data extension. data -- array holding the image data """ # maximum number of interations for mean,std loop maxiter = 30 # maximum number of data points to sample maxsample = 10000 # size of the array ny,nx =...
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def get_subsql(colname, fullwidth, param): """Generate fancy sql subquery with some optimizations""" if len(param) == fullwidth: return " %s = %%s" % (colname,) return " strpos(%s, %%s) > 0 " % (colname,)
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def get(db, provider): """ get the existing document :param db: :param provider: :return: """ collection = list() for row in db.posts.find({'provider': provider}): collection.append(row) return collection
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def age_restricted(content_limit, age_limit): """ Returns True iff the content should be blocked """ if age_limit is None: # No limit set return False if content_limit is None: return False # Content available for everyone return age_limit < content_limit
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import torch def sparse_bmm(sparse_matrix, dense_matrix_batch): """ Perform torch.bmm on an unbatched sparse matrix and a batched dense matrix. Args: sparse_matrix (torch.sparse.FloatTensor): Shape = (m, n) dense_matrix_batch (torch.FloatTensor): Shape = (b, n, p) Returns: (t...
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def T(parameters, theta_v, pi, r_v=None): """ Returns an expression for temperature T in K. :arg parameters: a CompressibleParameters object. :arg theta_v: the virtual potential temperature in K. :arg pi: the Exner pressure. :arg r_v: the mixing ratio of water vapour. """ R_d = paramet...
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def rshift(x, n): """For an integer x, calculate x >> n with the fastest (floor) rounding. Unlike the plain Python expression (x >> n), n is allowed to be negative, in which case a left shift is performed.""" if n >= 0: return x >> n else: return x << (-n)
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def phrase2seq(phrase, word2idx, vocab): """ This function turns a sequence of words into a sequence of indexed tokens according to a vocabulary and its word2idx mapping dictionary. :param phrase: List of strings :param word2idx: Dictionary :param vocab: Set or list containing entire v...
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def is_json_validation_enabled(schema_keyword, configuration=None): """Returns true if JSON schema validation is enabled for the specified validation keyword. This can be used to skip JSON schema structural validation as requested in the configuration. Args: schema_keyword (string): the name of...
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import os def load_clustered_images(images_dir): """ :param images_dir: images dir which is organized as below ├── Ariel_Sharon │ ├── Ariel_Sharon_0006.png │ ├── Ariel_Sharon_0007.png │ ├── Ariel_Sharon_0008.png ...
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def combine_runs(runsets): """ Combine the output results of many runs into a single dictionary. Parameters ---------- runsets : list Outputs of multiple calls to 'chnbase.MOSOSolver.solve' Returns ------- rundatdict : dict """ rundatdict = dict() for i, st in enume...
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import socket def get_host_finger(protocol, ip, port, timeout=5): """ 获取远程主机特定端口下服务的指纹 :param protocol: 协议,tcp / udp :params ip: ip :params port: 端口 :return: 服务器指纹 """ client = None msg = b"Hello, Server\r\n" if protocol == 'tcp': # tcp 协议 client = socket.socket...
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