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from typing import List def check_group_match(group: str, group_list: List[str]) -> bool: """ Check if a group is contained in the group list. If the group list is a single element, "_all", then it matches. """ if group_list[0] == "_all": return True if group in group_list: re...
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import torch def unif(n): """return a uniform histogram of length n (simplex) Parameters ---------- n : int number of bins in the histogram Returns ------- h : torch.Tensor (n,) histogram of length n such that h_i=1/n for all i """ return torch.ones(n)/n
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def is_not_fields_include(data, fields): """ Function for checking including list of fields in data dictionary. :param data: Dict Dictionary for checking. :param fields: list List of fields for checking. :return: boolean True if exist field in fields which is not present i...
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def find_starts(DNA: str, pat: str) -> list: """Find all start indexes of a substring :param DNA: the longer string to search in :type DNA: str :param pattern: the substring to search for :type pattern: str :returns: all indexes where pattern starts in DNA :rtype: list """ if n...
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def listRange(start, stop, adder): """Create a linear range from start up to (including) stop in adder steps.""" res = list() while start <= stop: res.append(start) start = start + adder return res
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def get_all_cfn_resources_by_type(resource_array: list, resource_type: str) -> list: """ Given a list of cloudformation stack resources, filters the resources by the specified type Parameters: resource_array (list): an Array of Cloudformation Stack Resources resource_type (string): the Name...
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def add_default_field(pv_name, default_field): """ Add a default field to a pv name if pv_name does not already have a field and the default field makes sense. This is useful for example to add a VAL field to pvs for the archive Args: pv_name: the pv name default_field: default field ...
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def compare(a, b): """ Compare items in 2 arrays. Returns sum(abs(a(i)-b(i))) """ s=0 for i in range(len(a)): s=s+abs(a[i]-b[i]) return s
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def _nis (atleast=False, atmost=False, exactly=False): """ Returns a `callable` which returns `True` if ``n`` is ``>=`` `atleast`, ``<=`` `atmost`, or ``==`` `exactly`. See :func:`_nargs`, :func:`_nkw`, etc., for example use. The signature of the returned `callable` is: .. function:: fn (n:num...
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import re def find_all_occurrences(source, target, boundary=True): """ Find all occurrences of `target` in `source` :param source: the source string to search within. :type source: :class:`str` :param target: the target string to search for. :type target: :class:`str`: :return: list of p...
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def missingassignments(rawData): """Return a list of students and their missing assignments.""" l = [] for i in range(len(rawData['name'])): for j in rawData.columns: if rawData.iloc[i][j] == '-': l.append([rawData.iloc[i]['name'],j]) return l
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def combine_files(*args): """ Combines file dictionaries as returned by the methods of Dataset. :param args: file dictionaries :return: combined file dictionaries """ if len(args) < 1: raise ValueError('Pass at least one argument!') # make sure all elements contain the same numb...
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def contains_lua_calls(item): """Check if a node contains any Lua API calls""" if 'lua_' in item['tokens']: return True if 'luaL_' in item['tokens']: return True if 'LuaSkin' in item['tokens']: return True return False
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from datetime import datetime import hmac import codecs import hashlib def create_preauth(byval, key, by='name', expires=0, timestamp=None): """ Generates a zimbra preauth value :param byval: The value of the targeted user (according to the by-parameter). For example: The account name, if "by" is "nam...
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def check_permutation(string1, string2): """ Algorithm to determine if two strings are permutations of the other :param string1: String :param string2: String :return: Boolean """ def make_dictionary(string): """ Helper function to make a dictionary mapping characters to obs...
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import json def get_profile(name, file): """ :param name: profile name :param file: file name e.g. profiles.json :return: dict. profile with :param name at :param file """ profile = {} with open(file) as f: data = json.load(f) for prof in data: if prof['name'] =...
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import re def human_sort(s): """Sort list the way humans do """ pattern = r"([0-9]+)" return [int(c) if c.isdigit() else c.lower() for c in re.split(pattern, s)]
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def get_outer_window(bands_node, silent=False): """ Get the ``outer_window`` parameter as a tuple (min, max), if it was given. Check if bands_node * is a child of a calculation and * that calculation has a parameter data input node with linkname parameters and * that node has the keys 'dis_win...
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def Le(tC,hC,rho,DAB): """ Lewis number: thermal conductivity/(heat capacity)/(humid vapor density)/(DAB) Paramters: tC, thermal conductivity in W/m/K hC, heat capacity in J/mol/K rho, molar density of humid vapor in mol/m^3 DAB, diffusion of component A in B in...
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def sort_separation(separation): """Sort a separation. :param separation: Initial separation. :return: Sorted list of separation. """ if len(separation[0]) > len(separation[2]): return [sorted(separation[2]), sorted(separation[1]), sorted(separation[0])] return [sorted(separation[0]), s...
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def floatify(scalar): """ Useful to make float from strings compatible from fortran Args: scalar (str, float): When string representing a float that might be given in fortran notation, otherwise it might be a floating point Returns: float. The value associated to scalar as a floa...
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from typing import Counter import math def conditional_entropy(x_symbols, y_symbols): """ Computes the entropy of `x` given `y`. :param list x_symbols: A list of all observed `x` symbols. :param list y_symbols: A list of all observed `y` symbols. :return float entropy: The conditional entropy of...
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def create_table_string(content, row_labels, col_labels, format, caption): """ Create a table following a specific formatting based on provided rows, columns and table entries. Args: content: Numpy `ndarray` of shape `(rows, columns)` containing the contents of the table. ro...
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def display_properties(props): """Display supported properties for a block.""" prop_string = "Available properties:\n" for prop in props: prop_string += f" - <block>.{prop[0]:<14}units={prop[2]:<6}{prop[1]}\n" return prop_string
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def relu_der(x, alpha=0): """ Rectified Linear Unit Derivative. If alpha is between 0 and 1, the function performs leaky relu. alpha values are commonly between 0.1 and 0.3 for leaky relu. Note: relu derivative is technically undefined at x=0, but tensorflow.nn.relu uses 0 for this spe...
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def format_list(extracted_list): """Format a list of traceback entry tuples for printing. Given a list of tuples as returned by extract_tb() or extract_stack(), return a list of strings ready for printing. Each string in the resulting list corresponds to the item with the same index in the argument...
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def concat(str1, str2): """Concat two string.""" return str1 + str2
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def even(value): """ Rounds a number to an even number less than or equal to original Arguments --------- value: number to be rounded """ return 2*int(value//2)
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import itertools def sorted_groupby(iterable, key, value=lambda x: x): """ just like regular pythons regular group by except it sorts for you :param iterable: the thing to iterate through :param key: the key to both sort and group by :param value: a function to apply to the group before returning ...
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def set_show_viewport_size_on_resize(show: bool) -> dict: """Paints viewport size upon main frame resize. Parameters ---------- show: bool Whether to paint size or not. """ return {"method": "Overlay.setShowViewportSizeOnResize", "params": {"show": show}}
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def convert_range_to_number_list(range_list): """ Returns list of numbers from descriptive range input list E.g. ['12-14', '^13', '17'] is converted to [12, 14, 17] Returns string with error message if unable to parse input """ # borrowed from jpalanis@redhat.com num_list = [] exclude_nu...
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def _backward_diff(j, yj, hj, lam): """ Computes through the backward differentiation formula different order derivatives of y for a given extrapolation step (for every T{1,j}). In other words, it calculates VI.5.43 ref II (step 1) for all kappa for a fixed j (for a fixed extrapolation step). U...
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def find_abs_min(arr): """ Finds minimum value of the array where each element is absoluted :param arr: the input array :return: minimum value and its first index """ min_val, min_index = (abs(arr[0]), 0) for i in range(len(arr)): if min_val > abs(arr[i]): min_val, min_in...
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def nbsp(value): """ Avoid text wrapping in the middle of a phrase by adding non-breaking spaces where there previously were normal spaces. """ return value.replace(" ", "\xa0")
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def _get_topic_base(device_id, module_id): """ return the string that is at the beginning of all topics for this device/module """ if module_id: return "devices/" + device_id + "/modules/" + module_id else: return "devices/" + device_id
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def raycast(obj_bvhtree, ray_from_objspc, ray_to_objspc): """Casts a ray to an object. Args: obj_bvhtree (mathutils.bvhtree.BVHTree): Constructed BVH tree of the object. ray_from_objspc (mathutils.Vector): Ray origin, in object's local coordinates. ray_to_objspc ...
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def format_comma(d): """ Format a comma separated number. """ return '{:,d}'.format(int(d))
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def link(url, linkText='{url}'): """Returns a link HTML string. The string is an &lt;a&gt; tag that links to the given url. If linkText is not provided, the link text will be the url. """ template = '<a href={url}>' + linkText + '</a>' return template.format(url=url)
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import copy def observed_graph(g): """ Constructs a subgraph containing only observed edges :param g: Input graph :return: Subgraph containing only observed edges """ g_obs = copy.deepcopy(g) unobs_edges = g_obs.es.select(description="U") g_obs.delete_edges(unobs_edges) return g_ob...
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def get_is_running(db_cur, schedule_id): """Get is_running status""" sqlquery = f""" SELECT is_running FROM schedules WHERE schedule_id = '{str(schedule_id)}'""" db_cur.execute(sqlquery) row = db_cur.fetchone() is_running = row[0] return is_running
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def rename_columns(df, rename_dict): """Renames columns based on `rename_dict` Args: df (`pandas.DataFrame`): The dataframe to rename columns in rename_dict (:type:`dict`): A dict in the format `{'old_name': 'new_name'}` to use to rename the columns Returns: `pandas.Dat...
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def no_exception(function): """ A decorator that wraps a function and ignores all exceptions """ def wrapper(*args, **kwargs): try: # print(args) return function(*args, **kwargs) except Exception as e: # do nothing print(str(e)) return wrapper
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def evaluate_knn(knn, x_train, y_train, x_test, y_test): """ Given a trained classifier, its training data, and test data, calculate the accuracy on the training and test sets. Input: knn - A trained k-nn classifier x/y_train - Training data x/y_test - Test data ...
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def unlinearize_term(index, n_orbitals): """Function to return integer index of term indices. Args: index(int): The index of the term. n_orbitals(int): The number of orbitals in the simulation. Returns: term(tuple): The term indices of a one- or two-body FermionOperator. """ ...
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def fixup_cell_names(design): """ Scans Yosys' JSON data structure and replaces cell instance names that contains dots in names with other character. """ # Process modules modules = design["modules"] for mod_name, mod_data in modules.items(): print(mod_name) # Process cells...
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from typing import Any def is_real_float(candidate: Any) -> bool: """ Checks if the given candidate is a real float. An integer will return False. Examples: >>> is_real_float(1.1) True >>> is_real_float(1.0) False >>> is_real_float(object()) False >...
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def format_desktop_command( command, filename): """ Formats a command template from the "Exec=" line of a .desktop file to a string that can be invoked in a shell. Handled format strings: %U, %u, %F, %f and a fallback that appends the filename as first parameter of the command. See http://stan...
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def subset_wqt_by_gain(avg_wq_site_df, gain_field_name, gain_setting): """ Subsets daily water quality by specified gain setting :param avg_wq_site_df: average vertical profiles by site for specific date :param gain_field_name: field name that stores the gain settings :param gain_setting: gain setting (gn0, gn1, g...
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import math def dist(a, b, x, y): """Return distance between 2 points""" d = math.hypot(a-x, b-y) return d
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def to_img(x): """Convert vector scaled between -1 & 1, with mean 0 to scaled between 0 & 1, with mean 0.5, followed by putting in size 28x28""" x = 0.5 * (x + 1) # mean and scaling done x = x.view(x.size(0), 28, 28) # could have used reshape(but may or may n...
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def rotate(l, n): """Shift list elements to the left Args: l (list): list to rotate n (int): number to shift list to the left Returns (list): list shifted """ return l[n:] + l[:n]
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def equate_prefix(name1, name2): """ Evaluates whether names match, or one name prefixes another """ if len(name1) == 0 or len(name2) == 0: return False return name1.startswith(name2) or name2.startswith(name1)
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from pathlib import Path def find_config_file(src: Path) -> Path: """Look for sniptly.toml config file Args: src (Path): File or folder where to look for sniptly snippets. Raises: FileNotFoundError Returns: Path: Path to tohe config file. """ parents = src.resolve()....
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from torch import optim from typing import Dict from typing import Any import torch def get_torch_optimizer( name: str, hparams: Dict[str, Any], parameters ) -> torch.optim.Optimizer: """Construct a PyTorch optimizer specified by :obj:`name` and :obj:`hparams`.""" if name == "Adadelta": optimizer...
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def calc_flesch_reading_easy( n_syllables: int, n_words: int, n_sents: int, a: float = 1.3, b: float = 60.1, c: float = 206.835, ) -> float: """ Вычисление индекса удобочитаемости Флеша Описание: Чем выше показатель, тем легче текст для чтения Значения индекса лежат ...
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def FindMicrocode(microcodes, model): """Find all the microcode chunks which match the given model. This model is something like 306a9 (the value returned in eax from cpuid(1) when running on Intel CPUs). But we allow a partial match, omitting the last 1 or two characters to allow many families to have...
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def genSchedulerTrigger(trigger_name, repo, refs, path_regexps, builds): """Generate the luci scheduler job for a given build config. Args: trigger_name: Name of the trigger as a string. repo: Gitiles URL git git repository. refs: Iterable of git refs to check. May use regular expressions. path_reg...
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def DwordToBits(srcDword): """ Converts a dword into an array of 32 bits """ bit_array = [] h_str = "%08x" % srcDword h_size = len(h_str) * 4 bits = (bin(int(h_str,16))[2:]).zfill(h_size)[::-1] for bit in bits: bit_array.append(int(bit)) return bit_array
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import random def _random_string(num: int): """Generate random string of a given length. """ return ''.join(random.choices('abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ', k=num))
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def extract_relation(res,resource_type): """ this function takes a unique resource and create the entries for relation.csv Logic: Profile: Bound (Req) = element.binding[strength = required].valueset Bound (Ext) = element.binding[strength = extensible].valueset Bound (Pref) = elem...
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def check_access(cursor, worker_id, task_namespace, experiment_id): """Check if there already exists a row for this worker and experiment combination""" cursor.execute( "SELECT count(*) FROM workers WHERE worker_id = ? AND task_namespace = ? AND experiment_id = ?", (worker_id, task_namespace, ex...
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def bdev_virtio_detach_controller(client, name): """Remove a Virtio device This will delete all bdevs exposed by this device. Args: name: virtio device name """ params = {'name': name} return client.call('bdev_virtio_detach_controller', params)
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def build_genotype(gt_call): """Build a genotype call Args: gt_call(dict) Returns: gt_obj(dict) gt_call = dict( sample_id = str, display_name = str, genotype_call = str, allele_depths = list, # int read_depth = int, genotype_quality = in...
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import math def mask_invalid_number(num): """Mask invalid number to 0.""" if math.isnan(num) or math.isinf(num): return type(num)(0) return num
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def tpc_h17(con, BRAND="Brand#23", CONTAINER="MED BOX"): """Small-Quantity-Order Revenue Query (Q17) This query determines how much average yearly revenue would be lost if orders were no longer filled for small quantities of certain parts. This may reduce overhead expenses by concentrating sales on larg...
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def update_weights(inputs, weights, category_num, learn_rate): """ This function returns a new weight matrix which has learned the input for the category and whether or not it was changed :param inputs: A vector which has the length of the number of features in the network. It contains the signal input ...
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def get_common_form(placeholders): """ Extracts the common target form from a list of scalars while making sure that the given targets are equivalent. Args: placeholders: Placeholders with possibly differing target forms. Return: str: Common target form. """ target_form = N...
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import time def gmtime_for_str(str_date): """ Pass in a datetime string, and get back time.gmtime """ return time.gmtime(time.mktime(time.strptime(str_date, "%a, %d-%b-%Y %H:%M:%S GMT"))) if str_date is not None else None
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def is_wh(tok): """ Is this a wh pronoun. """ return tok.tag_.startswith('W')
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def union_values(dictionary): """Given a dictionary with values that are Collections, return their union. Arguments: dictionary (dict): dictionary whose values are all collections. Return: (set): the union of all collections in the dictionary's values. """ sets = [set(p) for p in d...
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def get_upload_urn(envelope_js): """Get the upload urn from the submission envelope. Args: envelope_js (dict): the submission envelope contents Returns: String giving the upload urn in the format s3://<bucket>/<uuid>, or None if the envelope doesn't contain a urn """ detail...
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import six def listify(value): """ Convert value to list Parameters ---------- value: object The value to convert Returns ------- listified: list If string, return [string] If tuple or other iterable, convert to lsit If not iterable, return [value] ...
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def clever_split(line: str) -> list: """Get separated (tabs or whitespaces) elements from line. Parameters ---------- line : str Returns ------- elems : list of str Separated elements. """ # split elements by tabs cols = line.split('\t') # if no tabs, split by whit...
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def callsign_decode(rawcall): """ Decodes the AX25 encoded callsign """ s = '' for i in range(0, 6): ch = chr(ord(rawcall[i]) >> 1) if ch == ' ': break s += ch ssid = (ord(rawcall[6]) >> 1) &...
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def direction(which): """ Return a string (e.g. 'north') from a direction number (e.g. 1) """ return ['', 'north', 'east', 'south', 'west'][which]
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from pathlib import Path def home_cwd(tmpdir): """ create two temporary directories simulated cwd and home. Return dict with contents. """ cwd = Path(tmpdir) home = cwd / "home" home.mkdir() return dict(secondary_path=home, primary_path=cwd)
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from pathlib import Path from typing import Optional import json def save_json(data: dict, source: Path, overwrite: Optional[bool]=False) -> bool: """ Save a dictionary as a json file. Return `False` if file `source` already exists and not `overwrite`. Parameters ---------- data: dict ...
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def normalize_map(x): """ Normalize map input :param x: map input (H, W, ch) :return np.ndarray: normalized map (H, W, ch) """ # rescale to [0, 2], later zero padding will produce equivalent obstacle return x * (2.0/255.0)
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def CreateLogResourceName(project, log_id): """Creates the full log resource name. Args: project: The project id, e.g. my-project. log_id: The log id, e.g. my-log. Returns: Log resource, e.g. projects/my-project/logs/my-log. """ # Also handle the case where we already have the correct format. ...
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def parse_coco_categories(categories): """Parses the COCO categories list. The returned ``classes`` contains all class IDs from ``[0, max_id]``, inclusive. Args: categories: a dict of the form:: [ ... { "id": 2, ...
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def predict_y(x0, m, c): """ Predict the value yhat for a regression line with the given parameters. Parameters ---------- > `x0`: the value of predictor > `m`: slope of the regression line > `c`: y-intercept of the regression line Returns ------- The predicted value of y for the above given parameters. ""...
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def get_embed_method_and_name(fname): """ Returns the name of the file and the method by splitting on the word '_cleaned_' """ t = fname.split('_cleaned_') return t[0].split()[-1], t[-1]
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def most_recent_unbanned(booru_results): """ Get the first booru post from an artist that isn't banned. That's because posts from banned artists don't have the id field. :param booru_results: List<dict>: A list of booru results. :return: dict: The first booru result that is not banned. """ f...
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def radio_params(param_name): """ Returns text values for some radio buttons instead of numeric. Parameters: param_name: mane for radio buttons setting Returns: dict with text values if the selected setting has a specific radio\ button name. Returns None if setting not in rad...
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from pathlib import Path def is_stored(title): """ Checks if the file for the page exists, returning a Boolean Args: title: (Str) The title of the current file to check Returns true is the file exists, false if it does not """ return Path(f"link_data/{title}").is_file()
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import shutil def cli_installed(filename:str) -> bool: """Checks to see if a program is available from the command line, testing with a call to ```which```.""" return True if shutil.which(filename) else False
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def GetAllDictPaths(tree_dict): """Obtain list of paths to all leaves in dictionary. The last item in each list entry is the value at the leaf. For items in dictionary that are a list of dictionaries, each list entry is indexed by a string repesenting its position in the list. Implementation inspired by http...
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from typing import List def check_for_phrase(content: str, phraselist: List) -> bool: """ See if a substring from the list is in the content. This allows us to handle somewhat uncommon (but relied-upon) behavior like 'done -- this is an automated action'. """ return any([option in content for...
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def minutes_degrees(coord, kywrd): """ Converts coordinates from decimal minutes to decimal degrees Parameters ------------ coord : str A single coordinate, either longitude or latitude, with a single char at the end indicating the hemisphere kywrd : str Indicates whethe...
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from typing import Optional from typing import List def build_aws_cmd( profile: Optional[str], repo: str, subcommand: str, aws_args: Optional[List[str]] = None ) -> List[str]: """Build up an AWS ECR command from a subcommand and optional parts.""" aws_cmd = ["aws", "ecr"] if profile: aws_cmd.a...
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def _stripItalic(s): """Returns the string s, with italics removed.""" return s.replace('\x1d', '')
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def bbars(taper): """ Function to calculate coefficients of deflection terms for a tapered cantilever beam under tip load. This function is a dependency used only by coefficients_simple above. """ temp = ((taper+1)/(taper-1)) temp = temp*temp*temp b1bar = temp*(taper-1.0)*(tap...
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def isValidCreditCard(cardNum): """Returns True if the credit card number is a valid Luhn (Mod 10) number and False if not. This, of course, does not validate the number, but will catch typos. There is the chance that two typographic errors could return a false positive if they offset one anoth...
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import torch def tensor_is_empty(x: torch.Tensor) -> bool: """Return whether the tensor is empty.""" return 0 in x.shape
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def write_all(filename, text, *, _open=open, ): """Write the given text to the file.""" with _open(filename, 'w') as outfile: return outfile.write(text)
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from datetime import datetime def get_datetime_with_offset(date, offset=300): """ Returns a forward or backward date given a date and an offset time in seconds :param offset: offset interval in seconds (default: 300s). The offset can be positive or negative :param ...
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from datetime import datetime def generate_slurm_jobs_sql(start: str,end: str): """generate_slurm_jobs_sql Generate Slurm Jobs Sql Generate Sql for querying slurm jobs info Args: start (str): start time end (str): end time Returns: string: sql string """ utc_from = d...
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import random def bogo_sort(collection): """Pure implementation of the bogosort algorithm in Python :param collection: some mutable ordered collection with heterogeneous comparable items inside :return: the same collection ordered by ascending Examples: >>> bogo_sort([0, 5, 3, 2, 2]) [0, 2...
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def descendant_pks(category): """ Returns a list of the primary keys of the descendants of the given category, not including the pk of the category itself. :param Category category: category :return [number]: list of the primary keys """ return [str(desc.pk) for desc in category.get_descenda...
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def addNewCards(old_dict, comparison_dict, new_dict): """Compare old_dict and comparison_dict, add only those keys not in old_dict to the new_dict.""" if old_dict: for k, v in comparison_dict.items(): if k not in old_dict: new_dict[k] = comparison_dict[k] retu...
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