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def listUpTo(num): """ Returns a lists of integers from 1 up to num """ return list(range(1, num + 1))
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def mirror(matrix): """Mirror a matrix.""" return [reversed(_row) for _row in matrix]
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def is_category_suspicious(category, reputation_params): """ determine if category is suspicious in reputation_params """ return category and category.lower() in reputation_params['suspicious_categories']
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from typing import Iterable def replace_symbols_with_values(list_of_lists, replacements): """ Take iteratively a list of lists (at any depth level) and replace strings with the corresponding values in the ``replacements`` dictionary, leaving other types of values (floats, ints, ...) untouched. :r...
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def _return_value(resource, key): """ Return the value from the resource """ return resource[key]
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def handled_float(value, default=0): """ Returns ``float(value)`` if value is parseable by ``float()``. Otherwise returns ``default``. """ ret_val = default try: ret_val = float(value) except (TypeError, ValueError): pass return ret_val
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def group_by_company(devices): """Group a list of devices by company.""" grouped = {} for dev in devices: try: grouped[dev['company']['name']].append(dev) except KeyError: grouped[dev['company']['name']] = [dev] return grouped
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def first(items): """ Get the first item from an iterable. Warning: It consumes from a generator. :param items: an iterable :return: the first in the iterable """ for item in items: return item
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from typing import List import itertools def mixup_arguments(*args) -> List: """mixups given arguments [argument_1_1, argument_1_2], [argument_2_1] => [(argument_1_1, argument_2_1), (argument_1_2, argument_2_1)] Returns: List: [(arg1, arg2), ...] """ return list(itertools.product(*arg...
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def cal_words_num(lines): """ Calculate number of words in lines :param lines: lines to be calculate :return: number of words """ return sum(map(len, lines))
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def add_delayed(df): """ Add col Delayed. 0 = punctual, 1 = delayed by more than 10 min """ _df = df.copy() delayed = [] for index, row in _df.iterrows(): if row['Timedelta'] > 10: delayed.append(1) else: delayed.append(0) _df['Delayed'] = delayed ...
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from typing import Collection def key_map(data_: Collection) -> dict: """ Map all keys in a given data collection to their respective values. e.g. For the next data collection: data = [ { 'name': 'foo', 'age': 31, 'country': 'UK' ...
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def _parse_cpmd_atoms_block(lines, line_idx, parsed): """Add to ``parsed`` ``cpmd_atom_to_line_idx``. ``cpmd_atom_to_line_idx`` is a Dict[int, int] that associates a CPMD atom index to the line number where its coordinates are stored. Parameters ---------- lines : List[str] The lines o...
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def mndvi(b2, b4, b8): """ Modified Normalized Difference Vegetation Index \ (Main et al., 2011). .. math:: MNDVI = (b8 - b4) / (b8 + b4 - 2 * b2) :param b2: Blue. :type b2: numpy.ndarray or float :param b4: Red. :type b4: numpy.ndarray or float :param b8: NIR. :type b8: numpy....
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def get_heading_text_lines(heading_regions): """ Given a list of TextRegion objects ``heading_regions`` (of type heading) return all of their text lines as one big list. :param heading_regions: List of TextRegion objects of type heading. :type heading_regions: List[TextRegion] :return: List of a...
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from typing import List from typing import Dict from typing import Any def validate_cell_header( headers: List[str], cell: Dict[str, Any] ) -> List[str]: """Check that header of a cell meets project specifications.""" content = [line.rstrip('\n') for line in cell['source']] curr_header = content[0...
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def zaction(op, inv): """ Return a function f: (G, Z) -> G g, n |-> g op g op ... (n-1 times) ... op g If n is zero, it returns identity element. If n is negative, it returns |n|-1 times op on the inverse of g. """ def f(g, n): result = op(g, inv(g)) # identity ...
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def percentage_to_int(value): """ Scale values from 0-100 to 0-255 """ return round((255.0 / 100.0) * float(value))
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import torch def select_seeds(dist1: torch.Tensor, R1: float, scores1: torch.Tensor, fnn12: torch.Tensor, mnn: torch.Tensor): """ Select seed correspondences among the set of available matches. dist1: Precomputed distance matrix between keypoints in image I_1 R1: Base radius of neighborho...
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def getarg(args, index): """ Helper to retrieve value from command line args """ return args[index] if index < len(args) else None
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def resize_to(img_obj, new_height, new_width): """ Resize an image to the specified dimensions """ assert isinstance(new_height, int) assert isinstance(new_width, int) assert new_height > 0 assert new_width > 0 return img_obj.resize((new_width, new_height))
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def label(dt): """ Setting the label for the integration timestep """ return 'dt = {} s'.format(dt)
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def try_to_convert(value): """Tries to convert [value] to an int, returns the original string on fail""" try: return int(value) except: return value
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def sf_mag(a: tuple) -> int: """ Calculates the magnitude of a snailfish number :param a: a snailfish number :return: the magnitude as int >>> sf_mag((9, 1)) 29 >>> sf_mag((1, 9)) 21 >>> sf_mag(((9, 1),(1, 9))) 129 >>> sf_mag(((1,2),((3,4),5))) 143 >>> sf_mag((((...
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import time def create_datasplit(train_set, validation_set, test_set, name=None): """Create a datasplit dict from user-defined data sets Args: train_set (set): set of audio file paths valid_set (set): set of audio file paths test_set (set): set of audio file paths name (str): ...
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def ndmi(b8, b11): """ Normalized Difference Moisture Index \ (Gerard et al., 2003). .. math:: NDMI = (b8 - b11) / (b8 + b11) :param b8: NIR. :type b8: numpy.ndarray or float :param b11: SWIR 1. :type b11: numpy.ndarray or float :returns NDMI: Index value .. Tip:: Ge...
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def chunker(df, size): """ Split dataframe *df* into chunks of size *size* """ return [df[pos:pos + size] for pos in range(0, len(df), size)]
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def clean_advance_reservation(text): """ The advance reservation field identifies whether or not advance reservations are required to use these facilities (day use areas). If there is not recorded answer (blank) we default to 'no reservation required'. Returns 'True' if reservation required, False other...
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def _get_question_features(conv_id, QUESTIONS): """ Given conversation id and a dictionary QUESTIONS Returns an one-hot vector of length 8, the Xth entry being 1 iff the conversation contains question type X. """ ret = {} for ind in range(8): ret['question_type%d'%(ind)] = 0 if c...
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def validate_csv(row0, required_fields): """ :param row0: :param required_fields: :return: a tuple, True if all requirements are met and a dictionary with the index for all the fields """ for field in required_fields: if field not in row0: return False, {} field_pos = {} ...
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from typing import Sequence from typing import Callable from typing import Any def batch_by_property( items: Sequence, property_func: Callable ) -> list[tuple[list, Any]]: """Takes in a Sequence, and returns a list of tuples, (batch, prop) such that all items in a batch have the same output when put i...
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def transpose_func(classes, table): """ Transpose table. :param classes: confusion matrix classes :type classes: list :param table: input confusion matrix :type table: dict :return: transposed table as dict """ transposed_table = {k: table[k].copy() for k in classes} for i, item...
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from functools import reduce def traverse_dict_children(data, *keys, fallback=None): """attempts to retrieve the config value under the given nested keys""" value = reduce(lambda d, l: d.get(l, None) or {}, keys, data) return value or fallback
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def get_idxs_in_correct_order(idx1, idx2): """First idx must be smaller than second when using upper-triangular arrays (matches, keypoints)""" if idx1 < idx2: return idx1, idx2 else: return idx2, idx1
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from typing import Dict from typing import Any def source_startswith(cell: Dict[str, Any], key: str) -> bool: """Return True if cell source start with the key.""" source = cell.get("source", []) return len(source) > 0 and source[0].startswith(key)
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def _sabr_implied_vol_hagan_A4( underlying, strike, maturity, alpha, beta, rho, nu): """_sabr_implied_vol_hagan_A4 One of factor in hagan formua. See :py:func:`sabr_implied_vol_hagan`. A_{4}(K, S; T) & := & 1 + \left( \\frac{(1 - \\bet...
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import glob def get_sorted_files(files): """Given a Unix-style pathname pattern, returns a sorted list of files matching that pattern""" files = glob.glob(files) files.sort() return files
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from typing import Dict from typing import Any def modify_namelist_template( namelist_template: str, placeholder_dict: Dict[str, Any] ): """ Placeholders in the form of %PLACEHOLDER_NAME% are replaced within the given namelist template. Parameters ---------- namelist_template ...
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import pickle def load_results(path, filename): """ load result from pickle files. args: path: path to directory in which file is located filename: name of the file (without pickle extention) """ with open(path+filename+'.pickle', 'rb') as handle: return pickle.load(han...
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from pathlib import Path def create_target_absolute_file_path(file_path, source_absolute_root, target_path_root, target_suffix): """ Create an absolute path to a file. Create an absolute path to a file replacing the source_absolute_root part of the path with the target_path_root path if file_path is ...
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def query_prefix_transform(query_term): """str -> (str, bool) return (query-term, is-prefix) tuple """ is_prefix = query_term.endswith('*') query_term = query_term[:-1] if is_prefix else query_term return (query_term, is_prefix)
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def consolidate_conversion(x): """ Collapses the conversion status to Yes or No. """ xl = x.str.lower() if any(xl.str.startswith('purchase')) or any(xl.str.startswith('converted')) or \ any(xl.str.startswith('y')) or any(xl.str.startswith('processed')) or \ any(xl.str.startsw...
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def fix_msg(msg, name): """Return msg with name inserted in square brackets""" b1 = msg.index('[')+1 b2 = msg.index(']') return msg[:b1] + name + msg[b2:]
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def reshape_as_vectors(tensor): """Reshape from (b, c, h, w) to (b, h*w, c).""" b, c = tensor.shape[:2] return tensor.reshape(b, c, -1).permute(0, 2, 1)
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def get_common_items(list1, list2): """ Compares two lists and returns the common items in a new list. Used internally. Example ------- >>> list1 = [1, 2, 3, 4] >>> list2 = [2, 3, 4, 5] >>> common = get_common_items(list1, list2) list1: list list2: list returns: list """ ...
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def Powerlaw(x, amp, index, xp): """ Differential spectrum of simple Powerlaw normlized at xp :param x: Energies where to calculate differential spectrum :param amp: Amplitude of pl :param index: Index of pl :param xp: Normalization energy :return: differential spectrum of a Powerlaw at ener...
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def get_by_tag_name(element, tag): """ Get elements by tag name. :param element: element :param tag: tag string :return: list of elements that matches tag """ results = [] for child in element.findall('.//'): if tag in child.tag: results.append(child) return resul...
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def clamp(value, min=0, max=255): """ Clamps a value to be within the specified range Since led shop uses bytes for most data, the defaults are 0-255 """ if value > max: return max elif value < min: return min else: return value
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def clamp_value(value, minimum, maximum): """Clamp a value to fit within a range. * If `value` is less than `minimum`, return `minimum`. * If `value` is greater than `maximum`, return `maximum` * Otherwise, return `value` Args: value (number or Unit): The value to clamp minimum (nu...
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def make_signatures_with_minhash(family, seqs): """Construct a signature using MinHash for each sequence. Args: family: lsh.MinHashFamily object seqs: dict mapping sequence header to sequences Returns: dict mapping sequence header to signature """ # Construct a single hash ...
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import socket def resolve_fqdn_ip(fqdn): """Attempt to retrieve the IPv4 or IPv6 address to a given hostname.""" try: return socket.inet_ntop(socket.AF_INET, socket.inet_pton(socket.AF_INET, socket.gethostbyname(fqdn))) except Exception: # Probably using ipv6 pass try: ...
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from pathlib import Path def field_name_from_path(path): """Extract field name from file path.""" parts = Path(path).stem.split('.') field_name = parts[-1] if len(parts) > 1: if parts[-1] in ('bam', 'sam', 'cram'): field_name = parts[-2] return field_name
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def binaryStringDigitDiff(binstr1, binstr2): """ Count the number of digits that differ between two same-length binary strings Parameters ---------- binstr1 : string A binary (base-2) numeric string. binstr2 : string A binary (base-2) numeric string. Returns -------...
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from datetime import datetime def timestamp_to_datetime(timestamp): """Generate datetime string formatted for the ontology timeseries Args: timestamp (float, timemstamp): Timestamp value as float Returns: str: Returns the timestamp with the format necessary to insert in the Ontology ...
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def setdiag(G, val): """ Sets the diagonal elements of a matrix to a specified value. Parameters ---------- G: A 2D matrix or array. The matrix to modify. val: Int or float The value to which the diagonal of 'G' will be set. """ n = G.shape[0] for i in range(0,n): ...
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def get_operation_full_job_id(op): """Returns the job-id or job-id.task-id for the operation.""" job_id = op.get_field('job-id') task_id = op.get_field('task-id') if task_id: return '%s.%s' % (job_id, task_id) else: return job_id
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def get_conditions(worksheet): """ Get the conditions displayed on a worksheet. args: worksheet (seeq.spy.workbooks._worksheet.AnalysisWorksheet): Worksheet returns: conditions (pandas.DataFrame): Displayed Conditions """ display_items = worksheet.display_items if len(display_items) == 0: raise ValueErr...
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def TailFile(fname, lines=20): """Return the last lines from a file. @note: this function will only read and parse the last 4KB of the file; if the lines are very long, it could be that less than the requested number of lines are returned @param fname: the file name @type lines: int @param lines...
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def get_df_subset(df, column_one, value_one, column_two, value_two): """ Takes a dataframe and filters it based on two columns and their matching values """ return df.loc[(df[column_one] == value_one) & (df[column_two] == value_two), :]
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def zoom_to_roi(zoom, resolution): """Gets region of interest coordinates from x,y,w,h zoom parameters""" x1 = int(zoom[0] * resolution[0]) x2 = int((zoom[0]+zoom[2]) * resolution[0]) y1 = int(zoom[1] * resolution[1]) y2 = int((zoom[1]+zoom[3]) * resolution[1]) return ((x1,y1),(x2,y2))
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def get_ext(path): """Get file extension. Finds a file's extension and returns it. Parameters ---------- path : str The path to a file. Returns ------- str The file extension including leading "." """ return path[path.rfind(".") :]
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def _engprop(l): # {{{1 """Print the engineering properties as a HTML table.""" lines = [ "</tbody>", "<tbody>", '<tr><td colspan="6" align="center"><strong>Engineering properties</strong></td></tr>', '<tr><td colspan="3" align="center"><strong>In-plane</strong></td>', '...
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import typing import hashlib def create_sf_instance(entity_name: str, property_label: str) -> typing.Tuple[str, str]: """Creates a slot filling instance by combining a name and a relation. Arguments: entity_name: ``str`` The name of the AmbER set to fill into the template. property_label: ``s...
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def ensure_keys(dict_obj, *keys): """ Ensure ``dict_obj`` has the hierarchy ``{keys[0]: {keys[1]: {...}}}`` The innermost key will have ``{}`` has value if didn't exist already. """ if len(keys) == 0: return dict_obj else: first, rest = keys[0], keys[1:] if first not in ...
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import re def middle_coord(text): """Get the middle coordinate from a coordinate range. The input is in the form <start> to <end> with both extents being in degrees and minutes as N/S/W/E. S and W thus need to be negated as we only care about N/E. """ def numbers_from_string(s): """F...
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def convert_webaccess_datestamp(entry): """Set date and time attributes based on an iso date stamp""" attrlist = entry['date_stamp'].split('/') timelist = attrlist[-1].split(':') entry['year'] = timelist[0] months = {'Jan': '01', 'Feb': '02', 'Mar': '03', 'Apr': '04', 'May': '05', 'Jun':...
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def multipart_content_type(boundary, subtype='mixed'): """Creates a MIME multipart header with the given configuration. Returns a dict containing a MIME multipart header with the given boundary. .. code-block:: python >>> multipart_content_type('8K5rNKlLQVyreRNncxOTeg') {'Content-Type...
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import re def pattern_count(pattern, text): """Counts apperances of a Regex pattern in a string.""" return len(re.findall(pattern, text))
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from typing import List from typing import Any from typing import Dict from typing import Counter def get_common_items(list_to_count: List[Any], top_n: int) -> Dict[Any, int]: """Get the n most common items in descending order in a list of items. Args: text (List[Any]): List of items to be counted. ...
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def trycast(value): """ Try to cast a string attribute from an XML tag to an integer, then to a float. If both fails, return the original string. """ for cast in (int, float): try: return cast(value) except ValueError: continue return value
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def _fix_bed_coltype(bed): """Fix bed chrom and name columns to be string This is necessary since the chromosome numbers are often interpreted as int """ bed["chrom"] = bed["chrom"].astype(str) bed["name"] = bed["name"].astype(str) return bed
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def get_time_slot(hour, minute): """ Computes time_slot id for given hour and minute. Time slot is corresponding to 15 minutes time slots in reservation table on Sutka pool web page (https://www.sutka.eu/en/obsazenost-bazenu). time_slot = 0 is time from 6:00 to 6:15, time_slot = 59 is time from 20:45 to 21:00. :pa...
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from datetime import datetime def int_to_date_str(i_time): """unix epoc time in seconds to YYYY-MM-DD hh:mm:ss""" return str(datetime.fromtimestamp(i_time))
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def get_waist_to_height_ratio(df): """Waist-to-height ratio A measure of the distribution of body fat. WHR= waist/height Ref.: https://en.wikipedia.org/wiki/Waist-to-height_ratio """ df["WHR"] = df["ac"] / df["height"] return df
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def evaluate_acc(predictions, outputs): """Compute accuracy score by comparing two lists of same length element-wise Arguments: predictions {series} -- first list to be compared with the second one outputs {series} -- same length as predictions """ assert len(predictions) == len(out...
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def has_tool_tag(invocation): """ Checks if invocation has a tool_tag in workspace info Args: invocation (Invocation) Returns: True if tool_tag exists else false """ if (hasattr(invocation, 'workspace_info') and hasattr(invocation.workspace_info, 'tool_tag') ...
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from typing import List def get_param_with_name(parameters: List[dict], name: str) -> dict: """Get the parameter that has the given name.""" matched_params = (p for p in parameters if p["name"] == name) return next(matched_params)
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def extract_layout_switch(dic, default=None, do_pop=True): """ Extract the layout and/or view_id value from the given dict; if both are present but different, a ValueError is raised. Futhermore, the "layout" might be got (.getLayout) or set (.selectViewTemplate); thus, a 3-tuple ('layout_id...
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from bs4 import BeautifulSoup def get_targets(html): """ Return bolded targeting parameters """ if html: doc = BeautifulSoup(html, "html.parser") return " ".join([b.get_text(" ") for b in doc.find_all("b")]) return ""
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def diff_possible(numbers, k): """ Given a list of sorted integers and a non negative integer k, find if there exists 2 indicies i and j such that A[i] - A[j] = k, i != j """ if k < 0: raise ValueError('k can not be non negative') # Find k since as long as i is not larger than k ...
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import tarfile def smart_is_tarfile(filepath): """ :func:`tarfile.is_tarfile` plus error handling. :param filepath: Filename. :type filepath: str """ try: istar = tarfile.is_tarfile(filepath) except (OSError, IOError): return False else: return istar
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def to_cmd_string(unquoted_str: str) -> str: """ Add quotes around the string in order to make the command understand it's a string (useful with tricky symbols like & or white spaces): .. code-block:: python >>> # This str wont work in the terminal without quotes (because of the &) >>>...
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from typing import Optional from typing import Dict from typing import Any def define_by_run_func(trial) -> Optional[Dict[str, Any]]: """Define-by-run function to create the search space. Ensure no actual computation takes place here. That should go into the trainable passed to ``tune.run`` (in this exam...
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def rectangle_to_square(rectangle, width, height): """ Converts a rectangle in the image, to a valid square. Keeps the original rectangle centered whenever possible, but when that requires going outside the original picture, it moves the square so it stays inside. Assumes the square is able to fit ...
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def check_treedepth(samples, max_treedepth=10, quiet=False, return_diagnostics=False): """Check transitions that ended prematurely due to maximum tree depth limit. Parameters ---------- samples : ArviZ InferenceData instance Contains samples to be checked. Must contain both `posterior` ...
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def inchesToMeters(inches): """Convert inches to meters.""" return inches * 0.0254
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import bs4 def get_navigable_string_type(obj): """Get navigable string type.""" return bs4.NavigableString
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def convert_parentheses_back(text: str): """Replaces ( and ) tokens with -LRB- and -RRB-""" return text.replace("(", "-LRB-").replace(")", "-RRB-")
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def is_asc_sorted(lst: list) -> bool: """ Utility that tells whether a given list is already ascendentally sorted with every item in the list greater than the previous. :param lst: list to check :return: true if and only if the given list is ascendentally sorted """ return all(lst[i+1] > lst...
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def identifyFileType(suffix): """Identify the file type and return correct syntax. :suffix: file suffix :returns: [inline comment syntax, multiple line comment syntax] """ if suffix == "py": return "#", "\"\"\"", "\"\"\"" elif suffix == "c" or suffix == "h" or suffix == "cpp" or suffix...
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def parse_walltime(wt_arg): """ Converts walltimes to format dd:hh:mm:ss. """ # Clean the wt parts = wt_arg.split(":") wt_clean = ["{0:02d}".format(int(value)) for value in parts] # Pad with 00 wt_clean = ["00"] * (4 - len(wt_clean)) + wt_clean # Join and return return ":".join(wt_cl...
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def read_list(fn): """Reads a list from a file without using readline. Uses standard line endings ("\n") to delimit list items. """ f = open(fn, "r") s = f.read() # If the last character in the file is a newline, delete it if s[-1] == "\n": s = s[:-1] l = s.split("\n") return...
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def difference(f1_d, f2_d, out_f1_head, out_f2_head): """ Figures out the difference between two dictionaries and reports the difference Parameters ---------- f1_d : dict Dictionary for first fasta, chromosome names as values f2_d : dict Dictionary for second fasta, chromosom...
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def add_error_total_and_proportion_cols( total_errs, total_rows, date, errs_by_table, total_by_table, aggregate_df_total, aggregate_df_error, aggregate_df_proportion): """ Function adds a new column to the growing dataframes. This column contains information depending on the ...
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import yaml def parse_str(source: str, model_content: str) -> dict[str, dict]: """Parse a string containing one or more yaml model definitions. Args: source: The file the content came from (to help with better logging) model_content: The yaml to parse Returns: A dictionary of t...
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def int_scale(val, val_range, out_range): """ Scale val in the range [0, val_range-1] to an integer in the range [0, out_range-1]. This implementation uses the "round-half-up" rounding method. >>> "%x" % int_scale(0x7, 0x10, 0x10000) '7777' >>> "%x" % int_scale(0x5f, 0x100, 0x10) '6'...
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def dict_search(data: dict, key: str, depth: int = 3): """Search a key value in a dict, return None if not found. Warn: This method can be slow due to the amount of depth """ data_keys = data.keys() for keys in data_keys: if keys == key: return data[key] if depth > 0: ...
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import importlib def load_plugin(plugin): """Get the plugin module """ return importlib.import_module(plugin)
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def bisection_search2(L, e): """ Implementation 2 for the divide-and-conquer algorithm Complexity: O(log n) :param L: List-object :param e: Element to look for :return: Boolean value if element has been found """ def helper(L, e, low, high): if high == low: ...
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from importlib import import_module def try_import_for_setup(module_name): """ Returns the imported module named :samp:`{module_name}`. Attempts to import the module named :samp:`{module_name}` and translates any raised :obj:`ImportError` into a :obj:`NotImplementedError`. This is useful in benchm...
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