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def to_real(x): """ Use to print VHDL variables as float: example print(to_real(x))""" return x
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import os def get_model_path(modelname): """ Config your pretrained model path here! """ # raise NotImplementedError("Please config your pretrained modelpath!") pretrained_dir = '/config/to/your/pretrained/model/dir/if/needed' PTDICT = { 'CvT_w24': 'CvT-w24-384x384-IN-22k.pth', ...
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def normalize_id(entity_type, entity_id): """return node type and node id for a given entity type and id""" if entity_type == 'Chemical': if entity_id == '': return None if entity_id[:5] == 'CHEBI': return 'ChEBI', entity_id[6:] elif entity_id[0] == 'D' or entity_...
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def make_grid(x, y, fill: int = 0): """Make a 2x2 list of lists filled with "fill".""" return [[fill for y in range(y)] for _ in range(x)]
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def notas(*n, sit=False): """ ->Recebe várias notas de alunos, e retorna o número de notas (aceita várias), a maior e menor nota, a média e a situação (opcional) :param n: uma ou mais notas :param sit: (opcional) indica a situação do aluno :return: dicionário com as informações """ ...
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import os def parse_timestamp(filename): """ File name parser when the name without extension is a Unix Epoch """ basename = os.path.basename(filename) strtime = basename[:basename.index('.')] return int(strtime)
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def is_disconnected(ret: int): """ check whether connection is lost by return value of OesApi/MdsApi 106 : ECONNABORTED 107 : ECONNREFUSED 108 : ECONNRESET maybe there is more than there error codes indicating a disconnected state """ return ret == -106 or ret == -107 or ret == -108
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def i8(x): """truncates x to a 8-bit integer""" return x & 0xFF
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def get_las_version(las): """ Get the LAS file format version from an in-memory lasio.LAFile object. There are 3 possible versions (https://www.cwls.org/products/): - LAS 1.2 - LAS 2.0 - LAS 3.0 Args: las (lasio.LASFile): An in-memory lasio.LASFile object Returns:...
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from typing import Any def _remove_dummy_service_message( service_messages: list[list[tuple[str, str, Any]]] ) -> list[list[tuple[str, str, Any]]]: """Remove dummy SM, that hmip server always sends.""" new_service_messages: list[list[tuple[str, str, Any]]] = [] for client_messages in service_messages:...
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import pathlib import os def newpathdir(filename, olddir, newdir, n=1): """Return /a/b/n/d/e.ext for filename=/a/b/c/d/e.ext, olddir=c, newdir=n""" p = pathlib.PurePath(filename) assert sum([d == olddir for d in p.parts]) == n, "Path must have exactly %s directory matches" % n return os.path.join(*[d....
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import os def get_dir_files(dir): """ Get files in directory Args: dir: directory Returns: filenames: files in directory """ filenames = [f for f in os.listdir(dir) if os.path.isfile(os.path.join(dir, f))] return filenames
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from typing import Sequence from typing import Dict from typing import Any def bind_function_args(argument_names: Sequence[str], *args, **kwargs) -> Dict[str, Any]: """Returns a dict with function arguments.""" outputs = {} for k, val in zip(argument_names, args): outputs[k] = val o...
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def DropExpectation(_check, _step_odict): """Using this post-process hook will drop the expectations for this test completely. Usage: yield TEST + api.post_process(DropExpectation) """ return {}
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from datetime import datetime def get_date_string(date: datetime, format_: str = "%Y-%m-%d"): """Generic function to get a string from a datetime object Args: date: The value to be validated. format_: A regex pattern to return the string with Returns: A string formatted Rais...
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import os def split_chunk_filepath(path): """ Split chunk path into (basedir, basename, index, extension) NOTE: extension contains the leading dot """ basedir, name = os.path.split(path) name, ext = os.path.splitext(name) basename, index = name.rsplit('_', 1) index = int(index) return...
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import importlib def load_class(namespace): """ Python package namespace with class, e.g. module.Class :param namespace: :return: """ module_name, class_name = namespace.rsplit(".", 1) module = importlib.import_module(module_name) return getattr(module, class_name)
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from typing import Dict def make_character_dict() -> Dict[str, str]: """Create dict of {character: label, ->} to label smiles characters """ character_dict = {} atoms = ["C", "O", "N", "S", "B", "P", "F", "I", "c", "n", "o", '*', 'Cl', 'Br', 'p', 'b', 'p', 's'] cyclic = list(range(1,1...
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def calculate_fitness_value( fitness, normalize_rawfitness: int, kii: int ) -> float: """ Calculates and returns final fitness values of each individuals""" if normalize_rawfitness != 0: fit = fitness.rawfitness / normalize_rawfitness \ + fitness.total_error * (20 +...
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def list_contains_only_xs(lst): """Check whether the given list contains only x's""" for elem in lst: if elem != "X": return False return True
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import json def decode_json(json_string: str) -> dict: """ Takes a message as a JSON string and unpacks it to get a dictionary. :param str json_string: A message, as a JSON string. :return dict: An unverified dictionary. Do not trust this data. """ return json.JSONDecoder().decode(json_string...
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def set_length_units(client, units, file_=None, convert=None): """Set the current length units for a model. This will search the model's available Unit Systems for the first one which contains the given length unit. Args: client (obj): creopyson Client. units (str): ...
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import torch import math def log_sum_exp(a: torch.Tensor, b: torch.Tensor): """ Logsumexp with safety checks for infs. """ if torch.isinf(a): return b if torch.isinf(b): return a if a > b: return math.log1p(math.exp(b - a)) + a else: return math.log1p(math...
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from typing import List from typing import Any from typing import Union from typing import Tuple def isinstances(__obj: List[Any], __class_or_tuple: Union[Any, Tuple[Any]]) -> bool: """Return whether an every element of the list is an instance of a class or of a subclass thereof. A tuple, as in `isinstance(x,...
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def delta_seconds(delta): """Find the total number of seconds in a timedelta object. Flatten out the days and microseconds to get a simple number of seconds. """ day_seconds = 24 * 3600 * delta.days ms_seconds = delta.microseconds / 1000000.0 total = day_seconds + delta.seconds + ms_seconds ...
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def polynomial_power_combinations(degree): """ Combinations of powers for a 2D polynomial of a given degree. Produces the (i, j) pairs to evaluate the polynomial with ``x**i*y**j``. Parameters ---------- degree : int The degree of the 2D polynomial. Must be >= 1. Returns -----...
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def records_desc(table: bool) -> str: """description records""" return 'Rows' if table else 'Features'
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def from_cpp(str_msg, cls): """Return a ROS message from a serialized string Parameters ---------- - str_msg: str, serialized message - cls: ROS message class, e.g. sensor_msgs.msg.LaserScan. """ msg = cls() result = msg.deserialize(str_msg) return result
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def proj_masking(feat, projector, mask=None): """Universal projector and masking""" proj_feat = projector(feat.view(-1, feat.size(2))) proj_feat = proj_feat.view(feat.size(0), feat.size(1), -1) if mask is not None: return proj_feat * mask.unsqueeze(2).expand_as(proj_feat) else: retur...
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from typing import Optional import os import tempfile import logging def get_cache_dir(cache_dir: Optional[str] = None) -> str: """ Modified from https://github.com/facebookresearch/iopath/blob/main/iopath/common/file_io.py Returns a default directory to cache static files (usually downloaded from Int...
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def team_map(fpl_data): """ team mapping """ return {team["id"]: team["name"] for team in fpl_data["teams"]}
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def failed(response): """DreamHost does not use HTTP status codes to indicate success or failure, relying instead on a 'result' key in the response.""" try: if response['result'] == u'success': return False except: pass return True
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import os import json import six def load_profile(file_path): """ Load a check profile config file. ``file_path`` must be a valid json configuration file, this function include a basic check for correctness (required keys and type). Args: file_path (str): Config file (json) a...
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import torch def layer_regularizer_L2(G, zd, z, y, lay): """L2 regularizer on G activations. Args: G: GAN generator (from pretorched). zd: modified z vector. z: noise vector. y: class vector. lay: GAN layer. """ zd_activations = G.forward(zd, y, embed=True, la...
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def XXX(self, root): """ :type root: TreeNode :rtype: int """ if root: if root.left and root.right: return 1+min(self.XXX(root.left),self.XXX(root.right)) elif root.left: return 1+self.XXX(root.left) elif root.ri...
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import os import logging def exist_file(file_adress: str) -> bool: """ Check if a given file exist at the given adress args: file_adress is the address of the file return: return if the file exists """ if os.path.isfile(file_adress): logging.info(f'found file at {file_adress}') ...
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from typing import Dict from typing import List def response_value() -> Dict[str, List[str]]: """Fixture for response value.""" return {"key": ["value1", "value2"]}
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def ipv4_lstrip_zeros(address): """ The function to strip leading zeros in each octet of an IPv4 address. Args: address: An IPv4 address in string format. Returns: String: The modified IPv4 address string. """ # Split the octets. obj = address.strip().split('.') for ...
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def expand_word_graph(word_graph): """Expands word graph dictionary to include all words as keys.""" expanded_word_graph = word_graph.copy() for word1 in word_graph: for word2 in list(word_graph[word1]): expanded_word_graph[word2] = (expanded_word_graph.get(word2, set()) ...
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def get_available_eval_metrics(): """Output the available eval metrics in the cytominer_eval library""" return [ "replicate_reproducibility", "precision_recall", "grit", "mp_value", "enrichment", "hitk", ]
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import os def top_dir(): """ returns project top most directory :return: (str) Project directory """ return os.sep.join( os.path.dirname( os.path.realpath(__file__)).split( os.sep)[ :-2])
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import re def join_lines(src, before, after, sep=" "): """ Remove the newline and indent between a pair of lines where the first ends with ``before`` and the second starts with ``after``, replacing it by the ``sep``. """ before_re = "][".join(before).join("[]") after_re = "][".join(after)....
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def parse_cell(cell, rules): """ Applies the rules to the bunch of text describing a cell. @param string cell A network / cell from iwlist scan. @param dictionary rules A dictionary of parse rules. @return dictionary parsed networks. """ parsed_cell = {} for key in rule...
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def flatten_stmts(stmts): """Return the full set of unique stms in a pre-assembled stmt graph. The flattened list of of statements returned by this function can be compared to the original set of unique statements to make sure no statements have been lost during the preassembly process. Parameters...
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import numpy def raw(signal): """ compute the raw audio signal with limited range Args: signal: the audio signal from which to compute features. Should be an N*1 array Returns: A numpy array of size (N by 1) containing the raw audio limited to a range between -1 a...
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def value_check(arg_name, pos, allowed_values): """ allows value checking at runtime for args or kwargs """ def decorator(fn): # brevity compromised in favour of readability def logic(*args, **kwargs): arg_count = len(args) if arg_count: if pos <...
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import math def round_sig(number, precision=4): """ Round number with given number of significant numbers - precision Args: number (number): number to round precision (int): number of significant numbers """ if number == 0.0: return number return round(number, precision - ...
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def pairs(k, arr): """Hackerrank Problem: https://www.hackerrank.com/challenges/pairs/problem You will be given an array of integers and a target value. Determine the number of pairs of array elements that have a difference equal to a target value. Args: k (int): The target difference ...
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import numpy as np def quatmul ( a, b ): """Returns quaternion product of two supplied quaternions.""" assert a.size==4, 'Error in a dimension' assert b.size==4, 'Error in b dimension' return np.array ( [ a[0]*b[0] - a[1]*b[1] - a[2]*b[2] - a[3]*b[3], a[1]*b[0] + a[0]*b[1] -...
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import hashlib def hash_apitoken(accessToken, appSecret): # pragma: no cover """ **Deprecated** The issued access token and app secret key are combined and hashed for use in API. :param accessToken: Token Specify the access token issued at the time of authentication. :param appSecret: Specify the...
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import os def create_report_dir(dir_base_name): """ Creates a new directory in current working directory Parameters: dir_base_name (str): name of the directory Returns: str:Full path of the new directory """ current_dir = os.getcwd() report_dir = os.path.join(current_dir,'Reports') if not os.pa...
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def find(sexp, *names): """Return the first node in `sexp` whose name is in `names`""" for child in sexp: if child[0] in names: return child
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import json def get_workflow_metadata(metadata_json): """Load workflow metadata from a JSON file. Args: metadata_json (str): Path to file containing metadata json for the workflow. Returns: metadata (dict): A dict consisting of Cromwell workflow metadata information. """ with ope...
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def find_max_min(list_numbers): """ takes a list_numbers and returns min and max values as list i.e [min, max] """ if not isinstance(list_numbers, list): raise TypeError("expected list_numbers to be a list") list_length = len(list_numbers) # remove duplicates values and sor...
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def print_help_info(): """ Print a list of help related flags :return: 1 for exit code purposes :rtype: int """ print(""" Help Flags: --help-info This printout --help More detailed description of this utility --usage Arguments, parameters, flags, options, etc....
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def create_unbroadcast_axis(shape, broadcast_shape): """Creates the reduction axis for unbroadcasting. Args: shape: A list. The shape after the broadcast operation. broadcast_shape: A list. The original shape the array being unbroadcast had. Returns: A list. The axes along which the array needs...
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def check_zeros(counts): """ helper function to check if vector is all zero :param counts: :return: bool """ if sum(counts) == 0: return True else: return False
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def get_nat_orb_occ(lines): """ Find the natural orbital occupations """ nat_occ = [] start = False for line in lines: if start: if line.strip(): nat_occ.append(abs(float(line.split('=')[-1].strip()))) else: break elif line ...
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def are_words_in_word_list( words, word_list, case_sensitive=False, get_score=False, all_must_match=True ): """Checks if word(s) are contained in another word list. The search can be performed with or without case sensitivity. The check words can contain wildcards, e.g. "abc*" to allow a wider range...
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def percentiles_from_counts(counts_dt, percentiles_range=None): """Returns [(percentile, value)] with nearest rank percentiles. Percentile 0: <min_value>, 100: <max_value>. counts_dt: { <value>: <count> } percentiles_range: iterable for percentiles to calculate; 0 <= ~ <= 100 Source: https://stackov...
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def epsi_vapor_bot(Fr_bot): """ Calculates the vapor content of bubble layer at the bottom of column Parameters ---------- Fr_bot : float The Frudo criterion at the bottom of column, [dimensionless] Returns ------- epsi_vapor_bot : float The vapor content of bubble layer ...
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import subprocess def execute_cmd(full_cmd, cwd=None): """Execute a git command""" process = subprocess.Popen( full_cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, universal_newlines=True, cwd=cwd) (stdoutdata, stderrdata) = process.communicate(None) if 0 != process.wait(): raise ...
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def check_stat_proc(l_df): """ Check nr of processes done/running or not running :param l_df: :return: """ nrunning = l_df['status'][l_df['status'] == 'running'].count() ndone = l_df['status'][l_df['status'] == 'done'].count() nnrunning = l_df['status'][l_df['status'] == 'not running'].c...
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def lscmp(a, b): """ Compares two strings in a cryptographically safe way: Runtime is not affected by length of common prefix, so this is helpful against timing attacks. .. from vital.security import lscmp lscmp("ringo", "starr") # -> False ls...
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def flatten_double_list(double_list): """ flatten a double list into a single list. """ return [obj for single_list in double_list for obj in single_list]
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import sys def get_abbr_impl(): """Return abbreviated implementation name.""" if hasattr(sys, 'pypy_version_info'): pyimpl = 'pp' elif sys.platform.startswith('java'): pyimpl = 'jy' elif sys.platform == 'cli': pyimpl = 'ip' else: pyimpl = 'cp' return pyimpl
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def slice_list_to_chunks(lst, n): """ Slice a list into chunks of size n. Args: list int Returns: [list] """ chunks = [lst[x:x+n] for x in range(0, len(lst), n)] return chunks
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def get_age_bracket(school_type): """Return the age structure for different school types.""" age_brackets = { 'primary':[6, 7, 8, 9], 'primary_dc':[6, 7, 8, 9], 'lower_secondary':[10, 11, 12, 13], 'lower_secondary_dc':[10, 11, 12, 13], 'upper_secondary':[14, 15, 16, 17], 'secondary':[10, 11, 12, 13, 14, 1...
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def seq_to_arch(seq, num_nodes): """ Translates given sequential representation of an architecture sampled by the controller to an architecture Arguments: seq: sequential representation of architecture num_nodes: number of nodes in cell including the two input nodes Returns: ...
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def http_client_error(exc, request): """ specific json renderer for HTTPClientError """ request.response.status_int = 400 return {'title': exc.title, 'explanation': exc.explanation, 'detail': exc.detail}
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def get_project_files_results(resp): """ get the project files API results """ files_found = {} for obj in resp.data['files']: if obj['type'] == 'server_js': ext = 'js' elif obj['type'] == 'html': ext = 'html' else: continue key = '...
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def force_tuple(x): """Make tuple out of `x` if not already a tuple or `x` is None""" if x is not None and not isinstance(x, tuple): return (x,) else: return x
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from typing import List from typing import Dict def _build_record_dict(record_strings: List[str]) -> Dict: """ Parse the pbn line by line. When a block section like "Auction" or "Play" is encountered, collect all the content of the block into a single entry :param record_strings: List of string lines...
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import resource import platform import math async def get_max_rss_mb(): """Get the max resident set size of this process in megabytes""" max_rss_bytes = resource.getrusage(resource.RUSAGE_SELF).ru_maxrss # rlimit in Linux returns kilobytes; other systems return bytes # mebibytes (as per IEC standard) ...
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def gomc_control_file_written(job, control_filename_str): """General check that the gomc control files are written.""" file_written_bool = False control_file = f"{control_filename_str}.conf" if job.isfile(control_file): with open(f"{control_file}", "r") as fp: out_gomc = fp.readline...
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def or_(source, added): """Combine two queries with 'or'""" if source is None: source = added else: source |= added return source
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import re def escape(text): """Like re.escape(), but does not escape spaces""" return re.escape(text).replace("\\ ", " ")
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def add_plotting_column(df): """ This function will create a new column ("plot_value") in the dataframe and will set either a 0 if BisBis_BisBis % > BosTau_BisBis %, and 1 if BisBis_BisBis % < BosTau_BisBis % Args: df: input file DataFrame Returns: new dataframe with added "plot_value" ...
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def ts_to_vtt(timestamp): """ ts_to_vtt converts timestamp into webvtt times """ hours, seconds = divmod(timestamp, 3600) mins, seconds = divmod(seconds, 60) seconds = round(seconds, 3) return f" {int(hours):02}:{int(mins):02}:{seconds:02}"
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def _node_label(node): """Generate a node label in the format of "support:name" if both exist, or "support" or "name" if either exists. Parameters ---------- skbio.TreeNode node containing support value or name Returns ------- str Generated node label """ lblst ...
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def fetch_tensor(name, ws): """Return the value of a tensor.""" return ws.get_tensor(name).ToNumpy()
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import subprocess def get_user_pool_id(stage): """ Retrieve the ID of this stage's Cognito User Pool. """ return subprocess.run( f"./services/output.sh services/ui-auth UserPoolId {stage}", check=True, capture_output=True, shell=True, ).stdout.strip()
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def is_compatible_dict(base, delta): """ returns False if any key common to base/delta has a different type, except for None values, dicts are evaluated recursively """ common_keys = [k for k in base if k in delta] for k in common_keys: if base[k] is None or delta[k] is None: ...
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def torch2numpy(img): """ Converts a torch image to numpy format """ if img.dim() == 4: img = img.permute(0, 2, 3, 1).contiguous() elif img.dim() == 3: img = img.permute(1, 2, 0).contiguous() return img.cpu().numpy()
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from typing import Dict import re def str_replace(s: str, replacements: Dict[str, str]) -> str: """Replaces keys in replacements dict with their values.""" for word, replacement in replacements.items(): if word in s: s = re.sub(re.escape(word), replacement, s, flags=re.IGNORECASE) retu...
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def get_bits(num, gen): """ Get "num" bits from gen """ out = 0 for i in range(num): out <<= 1 val = gen.next() if val != []: out += val & 0x01 else: return [] return out
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def GetMangledParam(datatype): """Returns a mangled identifier for the datatype.""" if len(datatype) <= 2: return datatype.replace('[', 'A') ret = '' for i in range(1, len(datatype)): c = datatype[i] if c == '[': ret += 'A' elif c.isupper() or datatype[i - 1] in ['/', 'L']: ret += c....
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def _this_group_length(sf, param): """Tells the parser that this parameter contains the length of the current repeating group. The length of some repeating groups are defined by a parameter placed before the repeating group, while others are defined by a parameter in the repeating group itself. ...
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import re def unflatten(json_dict): """ Convert the JSON Flat dictionary into nested one. >>> unflatten({'draw': '3', 'columns[0][data]': '0', 'columns[0][name]': '', 'columns[0][searchable]': 'true', 'columns[0][orderable]': 'false', 'columns[0][search][value]': '', 'columns[0][search][regex]': 'fal...
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def sparse_image(img,cropx,cropy): """ Crop the imge and make it sparse. Parameters ---------- img : numpy array image to make sparse. cropx : int number pixels in the y direction. cropy : int numnber of pixels in the x direction. Returns ------- TYP...
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def get_feature_class(base_name, workspace): """ Creates a valid ESRI reference to a shapefile or geodatabase feature class base_name: the name of the feature class, without any extension workspace: the name of the folder (for shapefiles) or geodatabase (for gdb feature classes) return: a text strin...
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def anchor_to_resource(resource, post_create_func=None, title=None): """ Converts an LXML 'A' element into a resource dict """ href = resource.get('href') resource = { "description": title or resource.text_content().encode('utf8'), "name": href.split('/')[-1], "url": href, "...
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import signal def signal_to_human(value): """signal_to_human() -- provide signal name based on subprocess return code Args: value (int) - Popen.returncode Returns: Signal name if it exists, otherwise the original value provided """ signals = {getattr(signal, name) * -1 : name for...
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def clean_string(string): """Returns a string with all newline and other whitespace garbage removed. Mostly this method is used to print out objectMasks that have a lot of extra whitespace in them because making compact masks in python means they don't look nice in the IDE. :param string: The string t...
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def interpret_bintime(bintime): """If bin time is negative, interpret as power of two. Examples -------- >>> interpret_bintime(2) 2 >>> interpret_bintime(-2) == 0.25 True >>> interpret_bintime(0) Traceback (most recent call last): ... ValueError: Bin time cannot be = 0 ...
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def SPRING_CONTRIBUTION(N_DOFSNODE, SPRINGS, N_DOFSPRINGS): """ This function creates the contribution of the spring elements in the global stiffness matrix. Input: N_DOFSNODE | Number of degress of freedom per node | Integer SPRINGS | Nodal DOF spring properties ...
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import site from distutils.sysconfig import get_python_lib def get_site_packages(): """ Gets all site_packages paths """ try: if hasattr(site, 'getsitepackages'): site_packages = site.getsitepackages() else: site_packages = [get_python_lib()] if hasattr(site, 'g...
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import gc def _get_in_memory_objects(): """Returns all objects in memory.""" gc.collect() return gc.get_objects()
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def get_kernel(x, kernel): """ Calculates the kernel size given the input. Kernel size is changed only if the input dimentions are smaller than kernel Args: x: The input vector. kernel: The height and width of the convolution kernel filter Returns: The height and width of new co...
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def isDead(nova, wolf, window): """Checks if Nova is dead and sets the output message to reflect her death""" global msg if wolf.dist >= nova.dist: msg = "Nova died! The wolves caught her, but she was a tasty snack!" elif nova.health <= 0: msg = "Nova died! She ran out of health!" elif nova.hunger...
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