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def _subsample( X, ind): """ like X[ind,:] but works in case X has size (n,) """ if X.ndim == 1: y = X[ind] elif X.ndim == 2: y = X[ind,:] else: raise ValueError("Expected 1D or 2D array") return y
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def _make_task_name(cls, addons=None): """Makes a pretty name for a task class.""" base_name = ".".join([cls.__module__, cls.__name__]) extra = '' if addons: extra = ';%s' % (", ".join([str(a) for a in addons])) return base_name + extra
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def _test2(num1, num2): """Sample function for TestCase. Returns the supplied values. Args: num1: number 1 num2: number 2 Returns: float: sum of number 1 and 2 """ return float(num1) + float(num2)
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import six def collect_namespaces(root_spec): """Constructs a set of namespaces in a given ElementSpec. Args: root_spec: An `ElementSpec` for the root element in the schema. Returns: A set of strings specifying the names of all the namespaces that are present in the spec. """ findable_namespac...
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def school2nation(id_num): """ Takes school id, returns nation id of the school. """ if id_num < 97100000: return id_num // 100000 * 10000 if id_num < 97200000: return 7240000 if id_num < 97400000: return 8400000 return 320100
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def pybb_posted_by(post, user): """ Check if the post is writed by the user. """ return post.user == user
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import torch def shearx_grid(output_size, ulim=(-1, 1), vlim=(-5, 5), out=None, device=None): """Horizontal shear coordinate system. Args: output_size: (int, int), number of sampled values for the v-coordinate and u-coordinate respectively ulim: (float, float), Cartesian y-coordinate limi...
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import pickle def get_ibc_data(use_neutral=False, use_subsampling=False, return_subsampling_depths=False, labels=(0, 1, 2)): """ Samples the annotated IBC data. This dataset can be described more here. http://www.cs.umd.edu/~miyyer/ibc/. This dataset...
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def tokens2options(tokens): """Split the list of tokens into the options it specifies, even if there is a single option. Arguments: `tokens` -- the list of tokens to split, as provided by the tokenizer. Returns: A list of options, suitable for parsing. """ options = [] option = [] ...
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def threshold_RMSE(upper_bound, lower_bound, q=3): """Compute threshold for RMSE metric. Args: upper_bound (int): Upper bound of regression outputs lower_bound (int): lower bound of regression outputs q (int): Quantification parameter Returns: threshold (float): The minimal...
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def capitalize_correct(phrase): """ Capitalizes words in a string, avoiding possessives being capitalized """ phrase = phrase.strip() return " ".join(w.capitalize() for w in phrase.split())
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def parseSecondsIntoReadableTime(seconds): """Generate a string based on seconds having the format "m:s:cs".""" minutes = seconds / 60 absoluteMinutes = int(minutes) seconds = (minutes - absoluteMinutes) * 60 absoluteSeconds = int(seconds) m = str(absoluteMinutes) if absoluteMinutes <= 9: ...
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from typing import Dict from typing import Any from warnings import warn def has_license_and_update(data: Dict[str, Any]) -> bool: """Check if license header exists anywhere in notebook and format. Args: data: object representing a parsed JSON notebook. Returns: Boolean: True if notebook contains the ...
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from pkg_resources import get_distribution, DistributionNotFound def distribution_version(name): """try to get the version of the named distribution, returs None on failure""" try: dist = get_distribution(name) except DistributionNotFound: pass else: return dist.version
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def to_css_length(x): """ Return the standard length string of css. It's compatible with number values in old versions. :param x: :return: """ if isinstance(x, (int, float)): return '{}px'.format(x) else: return x
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def nD0_active(N, vzero, dr, L): """ Returns product of particle density n = N/L^2 and active diffusion constant D_0 = vzero^2/2*dr. Parameters ---------- N : int or float Number of particles. vzero : float Self-propelling velocity. dr : float Rotation diffusion ...
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def _val_to_bool(val): """Convert a text representation to a bool.""" if val == 'true': return True else: return False
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import torch def getTheLargestComponent(affinity_mat: torch.Tensor, seg_index: int, device: torch.device): """ Find the largest affinity_mat connected components for each given node. This is for checking whether the affinity_mat is fully connected. Args: affinity_mat: (torch.tensor) ...
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def rgb_from_int(val): """Return an RGB tuple converted from an int in the range [0, 0xffffff].""" return tuple([ ((val >> 16) & 0xff) / 0xff, ((val >> 8) & 0xff) / 0xff, (val & 0xff) / 0xff])
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import requests def exchange_token(refresh_token, token_endpoint, client_id): """Exchange token for access token.""" response = requests.post( token_endpoint, data={ 'grant_type': 'refresh_token', 'client_id': client_id, 'refresh_token': refresh_token, ...
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from bs4 import BeautifulSoup import requests def get_soup(url: str) -> BeautifulSoup: """ Generic BeautifulSoup page scraping starter code :param url: String, the url of the page to scrape :return: BeautifulSoup object """ try: page: requests.Response = requests.get(url) soup:...
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import re def detect_file_content(content: str, f: str="/etc/passwd") -> bool: """ Detect specific file content in content :param str content: file content that should be analyzed :param str f: file that the content should be compared with :return bool: True if the content was recognized, False other...
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def should_be_zipped(input_file, input_files): """ Determine whether a given input file should be included in the zip. Compiler includes and target files should only be included if there is no compiler info file present. """ return (input_file in ['metadata.json', 'compiler_info.json'] ...
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def get_idx_via_binary_search(nums: list[int], target: int) -> int: """Returns the index of target if it exists, otherwise -1 Complexity: n = len(nums) Time: O(logn) Space: O(1) Args: nums: array of integers sorted in ascending order target: element for which to sea...
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import torch def gaussian_sample(mu, sigma): """ Sample a gaussian variable using the reparametrization trick. Arguments: mu (torch.Tensor): Mean. sigma (torch.Tensor): Standard deviation. Same size as mu. Returns: z (torch.Tensor): Samples. Same size as mean. """ ...
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def compare_digest(a, b): """ ** From Django source ** Run a constant time comparison against two strings Returns true if a and b are equal. a and b must both be the same length, or False is returned immediately """ if len(a) != len(b): return False result = 0 for ch_a, ...
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from typing import Dict import time import requests def stock_js_weibo_nlp_time() -> Dict: """ https://datacenter.jin10.com/market :return: 特定时间表示的字典 :rtype: dict """ url = "https://datacenter-api.jin10.com/weibo/config" payload = {"_": int(time.time() * 1000)} headers = { "aut...
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def square_this(x): """Return the square of a number.""" return x**2
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async def assert_reply_matches(self, contents: str, regex): """ Send a message and wait for a response. If the response does not match a regex, fail the test. Requires a properly formatted Python regex ready to be used in the ``re`` functions. :param str contents: The content of the trigger message. (A co...
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def list_apim_api(client, resource_group_name, service_name): """List all APIs of an API Management instance. """ return client.api.list_by_service(resource_group_name, service_name)
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def remote_bazel_options(crosstool_top): """Returns bazel options for the "remote" execution strategy.""" k8 = [ "--cpu=k8", "--host_cpu=k8", "--crosstool_top=" + crosstool_top, "--define=EXECUTOR=remote", ] return k8 + [ "--spawn_strategy=remote", "--genrule_strategy=remote"...
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def get_mode_H_array(mode_H, mode_MR, mode_OR): """暖房の運転モードを取得する Args: mode_H(str): 暖房方式 mode_MR(str): 主たる居室の運転方法 (連続運転|間歇運転) mode_OR(str): その他の居室の運転方法 (連続運転|間歇運転) Returns: tuple: 暖房の運転モード """ # 運転モード(暖房) if mode_H == '住戸全体を連続的に暖房する方式': # 全館連続 return tu...
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def is_short_info(obj): """Return whether the object is a short representation of a dataset""" fields = ['bodySize', 'bodyRows', 'bodyFormat', 'numErrors', 'metaTitle', 'commitTime'] return bool(set(obj) & set(fields))
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def compute_average_bits(encodings, frequency): """ Compute the average storage bits of the current layer after Huffman Coding. :param 'encodings': Encoding map mapping each weight parameter to its Huffman coding. :param 'frequency': Frequency map mapping each weight parameter to the total number of its...
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def split_list(ls, sep): """ Split list similarly to split string, according to some separator """ ret = [] cur = [] for x in ls: if (x != sep): cur.append(x) elif cur: ret.append(cur) cur = [] if cur: ret.append(cur) return ret
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def get_function_indent(line: str) -> int: """ Get function indents from begging of the file. """ first_function_entrance = line.index('def') indents = line[:first_function_entrance] indents_space_count = len(indents) return indents_space_count
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def subject_member_update(client, memb_id, values): """Update an SubjectMember object""" return client.subject_member_update(memb_id=memb_id, values=values)
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from pathlib import Path def existing_git_submodule(path: Path) -> bool: """Check if a git submodule exists :param Path path: Submodule path :return: True, if .git file exists inside path """ return Path(path / '.git').is_file()
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def round_odd(x): """Round X to nearest odd integer.""" return int(x + 1 - x % 2)
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def consensus_decision(consensus): """ Given a consensus dict, return list of candidates to delete/archive. """ delete = [] archive = [] for k, v in consensus.items(): tags = v['tags'] if 'delete' in tags or 'rfi' in tags: delete.append(k) elif 'archive' in tags ...
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def _input_wrap(prompt, default=None): """ Run input() with formatted prompt, and return The while loop can be used to ensure correct output """ understood = False while not understood: result = input(prompt.format(default=default)).lower().strip() if result in {"y", "yes"}: ...
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import hashlib def hash_file(file_path): """ Return the hash of a file. """ md5 = hashlib.md5() with open(file_path, 'rb') as file: md5.update(file.read()) return md5.hexdigest()
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def getmAxId(root): """Returns the highest id number from the xml """ a=0 for face in root.iter('Face'): id = int(face.attrib.get('id')) if(id>a): a=id return(a)
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def cer(e): """ Canonicalize the representation of an undirected edge. Works by returning a sorted tuple. """ return tuple(sorted(e))
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def delete_migration(connection, basename): """ Delete a migration in `migrations_applied` table """ # Prepare query sql = "DELETE FROM migrations_applied WHERE name = %s" # Run with connection.cursor() as cursor: cursor.execute(sql, (basename,)) connection.commit() ...
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def build_slack_message(integration, title, title_link, fallback_text, fields, pre_text, body, color, thumb_url, image_url): """Build message using Slack webhook format. This will build the payload data for HTTP requests to services such as Slack, Mattermost and Discord. Args: ...
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def iface_definition(iface, ssid, psk): """Returns the corresponding iface definition as a string, formatted for inclusion in /etc/network/interfaces.d/""" return \ """iface {} inet dhcp wpa-ssid "{}" wpa-psk {} """.format(iface, ssid, psk)
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def get_walk_data(walk, data): """Retrieve data specific to a given walk. Args: walk (str): walk identifier. data (dict): holds all data matrices/lists, including unique walk identifiers in 'subject_walk_IDs'. Returns: walk_data (dict): all data matrices/lists for a sin...
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def degrees(graph): """Returns a list of node degrees in a ProgramGraph. Args: graph: A ProgramGraph. Returns: An (unsorted) list of node degrees (in-degree plus out-degree). """ return [len(graph.neighbors(node)) for node in graph.all_nodes()]
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import math def haversine(origin, destination): """ Returns the distance between two points using the haversine formula http://www.platoscave.net/blog/2009/oct/5/calculate-distance-latitude-longitude-python/ >>> int(haversine((-1.31017, 51.7459), (-1.199226, 51.749327))) 7647 """ ...
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import requests import time def request_url_json(url: str) -> dict: """Get JSON object version of reponse to GET request to given URL. Args: url: URL to make the GET request. Returns: JSON decoded response from the GET call. Empty dict is returned in case the call fails. """ print(url) try...
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def kmer_count(k, rc=False): """ Counts the number of possible k-mers Args: k (int): kmer size rc (bool): Use canonical k-mers Returns: int: number of possible kmers """ if not rc: return 4**k n_palindromes = 0 if k % 2 == 0: n_palindromes = 4**(...
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def long_repeat(line): """ length the longest substring that consists of the same char """ line_length = len(line) if line_length <= 1: return line_length count_list = [0] current_count = 1 current_ch = '' for i in range(0,line_length): ch = line[i] if ch...
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def get_initial_cholcovs_index_tuples(n_mixtures, factors): """Index tuples for initial_cov. Args: n_mixtures (int): Number of elements in the mixture distribution of the factors. factors (list): The latent factors of the model Returns: ind_tups (list) """ ind_tups = [] ...
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def parametrizeTimeoutMixin(protocol, reactor): """ Parametrizes the L{TimeoutMixin} so that it works with whatever reactor is being used by the test. @param protocol: A L{_GenericHTTPChannel} or something implementing a similar interface. @type protocol: L{_GenericHTTPChannel} @param ...
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import hashlib def checksum_file(path): """Compute the sha256 checksum of a path""" hasher = hashlib.sha256() with open(path, "rb") as f: for chunk in iter(lambda: f.read(4096), b""): hasher.update(chunk) return hasher.hexdigest()
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from typing import Optional import torch import itertools def unit_box(n: int, scale: Optional[torch.Tensor] = None) -> torch.Tensor: """ Create a (scaled) version of a unit box Args: n: number of dimensions scale: scaling of each dimension Returns: torch.Tensor: scaled unit ...
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def get_p2p_ssqr_diff_over_var(model): """ Get sum of squared differences of consecutive values as a fraction of the variance of the data. """ return model['ssqr_diff_over_var']
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def SetPageSize(unused_ref, args, request): """Set page size to request.pageSize. Args: unused_ref: unused. args: The argparse namespace. request: The request to modify. Returns: The updated request. """ if hasattr(args, 'page-size') and args.IsSpecified('page_size'): request.pageSize = ...
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def reverse_y_mapper(height, mapper): """ Returns a coordinate mapper function for grids with reversed Y coordinates. :param height: width of strip :param mapper: grid mapper to wrap :return: mapper(x, y) """ max_y = height - 1 def y_mapper(x, y): return mapper(x, max_y - y) ...
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def ip_version(vnum): """String version of ip version""" return 'ipv4' if vnum == 4 else 'ipv6'
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def create_padding_mask(seq): """ Mask all the pad tokens in the batch of sequence. It ensures that the model does not treat padding as the input. The mask indicates where pad value 0 is present: it outputs a 1 at those locations, and a 0 otherwise. The input shape is [batch, seq_len], the output sh...
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def ns_between(l, r, ns): """Checks if all ns are between l and r (inclusive).""" return all(l <= n <= r for n in ns)
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def dom2dict(element): """Converts DOM elements to dictionaries of attributes.""" keys = list(element.attributes.keys()) values = [val.value for val in list(element.attributes.values())] return dict(list(zip(keys, values)))
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def split(text): """ Convenience function to parse a string into a list using two or more spaces as the delimiter. Parameters ---------- text : string Contains text to be parsed Returns ------- textout : list list of strings containing the parsed input text """ ...
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def format_time(t, format_spec='dhms'): """ Return a formatted time string describing the duration of the input in seconds in terms of days,hours,minutes and seconds. """ if format_spec == '': sb, mb, hb, db = True, True, True, True else: sb = 's' in format_spec mb = 'm' in format_spec hb = 'h' in format...
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def scale_for_curses(rgb_value: int) -> int: """Scale a single RGB value for curses. :param rgb_value: One RGB value :returns: The value scaled for curses """ curses_ceiling = 1000 rgb_ceiling = 255 return int(rgb_value * curses_ceiling / rgb_ceiling)
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import requests def minify(file_content:str) -> str: """Access Toptal's CSS Minifier API. Parameters ---------- file_content : str CSS file content in str format. Returns ------- str Minifier CSS in str format. """ payload = {'input': file_content} url =...
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def simple_wsgi(_, start_response): """A simple wsgi app that always returns an empty response.""" start_response("200 OK", [("Content-Type", "text/html")]) return [b""]
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def count_consecutives(tosses): """ Counts the number of consecutive heads or tails. """ consecutive_tosses = 1 max_consecutive_tosses = 1 for i in range(0, len(tosses) - 1): if tosses[i] == tosses[i + 1]: consecutive_tosses += 1 max_consecutive_tosses = max(max_c...
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def get_target_for_label(label): """Convert a label to `0` or `1`. Args: label(string) - Either "POSITIVE" or "NEGATIVE". Returns: `0` or `1`. """ if(label == 'POSITIVE'): return 1 else: return 0
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def custom_format(template, **kwargs): """ Custom format of strings for only those that we provide :param template: str - string to format :param kwargs: dict - dictionary of strings to replace :return: str - formatted string """ for k, v in kwargs.items(): template = template.replac...
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def invert(dct): """ Transposes the keys and values in a dictionary :param dct: dictionary to transpose :tupe dct: dict :rtype: dict """ return {val: key for key, val in dct.items()}
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def comp_stacked_rating_hist_allbrands(review_item): """ Compute rating distributions for all brands :param review_item: a merged data frame containing item and review info :return: brands: an ascending list containing names of all brands scores: an ascending list containing all possible ra...
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def is_number(term): """check if term is a number. Returns bool""" if isinstance(term, int) or term.isdigit(): return True
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def compact(inDict, keep_if=lambda k, v: v is not None): """ Takes a dictionary and returns a copy with elements matching a given lambda removed. The default behavior will remove any values that are `None`. Args: inDict (dict): The dictionary to operate on. keep_if (lambda(k,v), option...
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def simple_filter(**kwargs): """Return a simple filter that requires all keyword arguments to be equal to their specified value.""" criteria = [] for key, value in kwargs.items(): criteria.append({'type': 'SIMPLE', 'propertyName': key, 'operator': 'Equals', 'operand': va...
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def fixture_repo_id() -> int: """Return a repository ID.""" return 102909380
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import inspect def disable_for_loaddata(signal_handler): """The signals to update denormalized data should not be called during loaddata management command (can raise an IntegrityError)""" def wrapper(*args, **kwargs): for fr in inspect.stack(): if inspect.getmodulename(fr[1]) == 'load...
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def remove_short_segments( lbl_tb, segment_inds_list, timebin_dur, min_segment_dur, unlabeled_label=0 ): """remove segments from vector of labeled timebins that are shorter than specified duration Parameters ---------- lbl_tb : numpy.ndarray vector of labeled spectrogram time bins, i.e....
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def simple_decorator(pattern=None): """Build a simple decorator function from the given pattern. The decorator will prefix each line with the given pattern. If the given pattern contains a '{}' placeholder, it will be used as a separator between the prefix and suffix. In other words, this: simpl...
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def parse_tf_ids(target_tfs_filename): """ If user has provided a file with Ensembl transcript ids, parse these to a list. """ with open(target_tfs_filename, 'r') as target_tfs_file: target_tfs_list = target_tfs_file.read().splitlines() target_tfs_list = [x.upper() for x in target_tfs_l...
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def strfdelta(tdelta, fmt): """Utility function. Formats a `timedelta` into human readable string.""" d = {"days": tdelta.days} d["hours"], rem = divmod(tdelta.seconds, 3600) d["minutes"], d["seconds"] = divmod(rem, 60) return fmt.format(**d)
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from typing import Any import functools import inspect def is_coroutine_function(obj: Any) -> bool: """ Correctly determines if an object is a coroutine function, including those wrapped in functools.partial objects. """ while isinstance(obj, functools.partial): obj = obj.func return i...
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def is_kernel_module_loaded(module_name): """ Checks whether the kernel module with the specified name is loaded. Args: module_name (str) : Name of the module to check. Returns: True, if the module is loaded; otherwise False. """ with open("/proc/modules") as file: lin...
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def GenerateAnnulusRZPhiToNode(nRCoords, nZCoords, phiPoints): """ Generate the map from r, z phi IDs to node IDs for a structured 3D linear tet annulus mesh """ rzphiToNode = [] index = 0 for i in range(nRCoords): rzphiToNode.append([]) for j in range(nZCoords): rzphiToNode[i].append([]...
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def clip_command(command): """Is this a clip command? :param command: string """ # It is possible to have `\clip` or `SELECT * FROM \clip`. So we check # for both conditions. return command.strip().endswith('\\clip') or command.strip().startswith('\\clip')
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def sum_digits(n): """Calculate the sum of digits. Parameters: n (int): Number. Returns: int: Sum of digitis of n. Examples: >>> sum_digits(42) 6 """ s = 0 while n: s += n % 10 n //= 10 return s
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def Pad(ids, pad_id, length): """Pad or trim list to len length. Args: ids: list of ints to pad pad_id: what to pad with length: length to pad or trim to Returns: ids trimmed or padded with pad_id """ assert pad_id is not None assert length is not None if len(ids) < length: a = [pad...
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import csv def read_symbols(symbol_file='symbols.csv'): """ Read symbols. Parameters ---------- symbol_file : str Path to a CSV (with ',' as delimiter) which contains one symbol label in the second colum Returns ------- list Of symbol labels """ with o...
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def extract_inventions_dreamcoder(dc_json): """ extract the learned inventions from a dreamcoder json file and sort by length """ return sorted([prod["expression"] for prod in dc_json["DSL"]["productions"] if prod["expression"].startswith("#")], key=len)
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def load_cluster_labels(clusterpath, one_indexed=True): """ one_indexed: if true, assume cluster index starts at 1 (e.g. as in 2018_scMCA data) """ cluster_labels = {} if one_indexed: dec = 1 else: dec = 0 # expected format of csv file is "cluster number, name" with open(...
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from typing import List from typing import Dict from typing import Any def exact_str_match_fn(targets: List[str], responses: List[str]) -> Dict[str, Any]: """Exact match between targets and responses.""" # aitor: might want to use these metrics after removing irrelevant words. # they do something like thi...
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def parse_coverage_list(coverage_list): """ Given a coverage_list (structured as a list of coverage statements (which are strings) that define the poset, parses them into a dictionary. Parameters ---------- coverage_list : `list` list of coverage statements defining a poset, e.g.: ...
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def author_name(author): """ Rewrite author name in a specific form: Take the last word that is present in 'author'. Set that as last name. If a different word is present, take the first letter. If not, set a default of X. e.g. the name 'Albert de Vries' gets turned into 'A. Vries'; ...
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def update_pos(pos1,pos2): """ Get the coordinate of the bounding box containing two parts :param pos1: Coordinate of the first part. :param pos2: Coordinate of the second part. :return: Coordinate of the bounding box containing the two parts """ x1 = min(pos1[0],pos2[0]) y1 = min(pos1[1...
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def FOG(conf, value): """Get FOG Color code from config""" if value == 1: return conf.get_color("colors", "color_fog1") else: return conf.get_color("colors", "color_fog2")
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def is_id(argument: str) -> bool: """ Determines whether the given argument is a valid id (i.e. an integer). :param argument: the string argument to evaluate :return: true if the argument can be evaluated as an interger, false otherwise """ try: int(argument) except ValueError: ...
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def author_clean(author): """ Clean an author and return the formatted string """ replace = [".", ";", " ", ",", "_", "-"] author_split = author.strip().split(",") clean_author = "" if len(author_split) >= 2: last_name = author_split[0] first_name = author_split[1] for rep in...
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def fill_array(x,x_val): """ fill_array(x,x_val) If x_val[i] != None then x[i] == x_val[i]. """ constraints = [] for i in range(len(x)): if x_val[i] != None: constraints += [x[i] == x_val[i]] return constraints
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