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def listify(x): """If x is already a list, do nothing. Otherwise, wrap x in a list.""" if isinstance(x, list): return x else: return [x]
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def remove_empty_values(metric_epoch, num_tasks, num_epochs): """ Remove empty values from 'metric_epoch', where there are zeros at some epochs (because of early stopping). :param metric_epoch: array of size (num_runs, num_tasks * num_epochs) with 0 values where early stopping occured :param num_tasks:...
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def em_complete(job): """Verify that energy minimization has completed""" return job.isfile('em.gro')
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import os import glob import re import torch def load_saved_model(saved_path, model): """ Load saved model if exiseted :param saved_path: model saved path, str :param model: model object :return: """ if not os.path.exists(saved_path): raise ValueError('{} not found'.format(saved_...
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def world_to_index(x, y, origin, resolution, width): """ Convert World coordinates to index """ x = (x - origin[0]) / resolution y = (y - origin[1]) / resolution return y * width + x
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def size_in_stock(item,size_str): """ Example: has_size(item, '32x36') """ for unit in item['units']: if unit['size'] == size_str and unit['stock'] > 0: return True return False
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def wait_for_button_press(button): """ Wait for a button to be pressed and released. Parameter: - `button` (Button): an instance of the EV3 Button() class return the Button name that was pressed. """ pressed = None while True: allpressed = button.buttons_pressed if bool(a...
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def determine_inception(model_type): """ Determines if the model type is Inception v3. :param model_type: Model type. :return: A boolean indicating if the model is Inception v3. """ return True if model_type == 'inception_v3' else False
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def Transform(obj, x=0., y=0., z=0.): """ Transformation between raster and model space using a model transformation matrix applied to raster coordinates plus altitude. ```python >>> mps = ifd.GeoKeyModel["ModelPixelScaleTag"] >>> mtt = ifd.GeoKeyModel["ModelTiepointTag"] >>> Sx, Sy, Sz = m...
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import re def compile_flags(): """(?F): Activate compile flags. F in 'aiLmsux'.""" # Flags # a --> re.A, re.ASCII: matches ASCII only # i --> re.I, re.IGNORECASE: ignore character case # L --> re.L, re.LOCALE: locale dependent # m --> re.M, re.MULTILINE: multi-line matching # s --> re.S, ...
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def _write_logic(tx, operation, networks, edges): """ Accesses database to return edge list of intersection of networks. :param tx: Neo4j transaction :param operation: Type of logic operation :param networks: List of network names :param edges: List of edges returned by logic operation :retu...
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def is_valid_field_content(s: str) -> bool: """ Returns True if string s can be stored in a SubStation field. Fields are written in CSV-like manner, thus commas and/or newlines are not acceptable in the string. """ return "\n" not in s and "," not in s
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def patchData(data1, data2, xmin=55, xmax=74, ymin=53, ymax=72): """ Copies data from data2 to data1 within the defined patch region (often used for processing DIV files) **Inputs** data1 (sans2d): measurement to be patched data2 (sans2d): measurement to get the patch from xmin (int): le...
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from typing import Counter def aggregate_event_cat(event_list): """ Return a dictionary-like list of eventCategory frequency counts. :param event_list: list of event tuples (eventCategory,eventAction) :return: dict-like list of frequencies [(eventCat1, freq_1),(eventCat2, freq_2),...] """ retu...
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def reclassify_experience(experience, get_block, num_blocks): """ Classify experience into state-action blocks. :param experience: List of experienced transitions. :param get_block: Get state-action block function. :param num_blocks: Number of state-action blocks. :return: ""...
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import builtins def is_a_builtin(word) -> bool: """ Returns True if a word is a builtin python object Args: word: word to check Returns: True if word is builtin python object """ return str(word) in dir(builtins)
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def build_loss_function_from_dict(loss_function_ref): """ Builds loss function """ # Getting the details of the loss_function using get_loss_function method loss_function_details = loss_function_ref.get_loss_function() # Storing the loss_function details loss_function_func = loss_functi...
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def invalidate_cols(platemap, cols, valid=False): """Returns updated plate map with specified columns invalidated. :param platemap: Plate map to use :type platemap: pandas dataframe :param wells: Columns to invalidate, e.g. [1, 2, 3] :type wells: int or list of ints :param valid: Sets the s...
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import getpass def get_current_user() -> str: """Return the name of the current user""" return getpass.getuser()
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import copy def substitute_variable_name(v_dict, old_name, new_name): """Exchanges values in a dictionary. Parameters ---------- v_dict : Dictionary old_name : string, Value to change new_name : string, new value Returns ------- v_dict : Dictionary with changed names """ ...
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def concat_lyrics(lyrics, threshold): """ # Accepts two arguments, a list of lists of strings # and an integer. Joins the lists if the word count would # remain below the given threshold and returns the joined # lists. >>> print(concat_lyrics([["We’re", "so", "young,", "boy"],\ ["We", "ain’...
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import re def filterSection(section, filter): """filters section according to regexp terms in filter and outputs a list of all matched entries """ ret = [] for sec in section: secret = [] for line in sec: line = line.lstrip() if re.match(filter, line, re.I): ...
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def increase_threshold(thresh, thresh_inc): """ Increase the threshold based on a string Inputs: - thresh Initial threshold - thresh_inc How the threshold should be increased. "xN": multiply by N "+N": increase by N ...
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import pandas def read_in_data(address_path): """ Reads in the address data, separates the address information from the patient data, and uniquifies the addresses while creating a column of list of original indexes that will later be used to map address data and patient data. :param address_path:...
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import math def hd(inc, sd): """ Calculate horizontal distance. :param inc: (float) inclination angle in degrees :param sd: (float) slope distance in any units """ return sd * math.cos(math.radians(inc))
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def get_symbol_name(*args): """Return fully-qualified symbol name given path args. Example usage: >>> get_symbol_name('ZenPacks.example.Name') 'ZenPacks.example.Name' >>> get_symbol_name('ZenPacks.example.Name', 'schema') 'ZenPacks.example.Name.schema' >>> get_symbol_...
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import random def getId() -> str: """ Generate an 8 base29-encoded character string 11 base58 characters are enough for youtube so 8 base29 characters should be good enough for me I landed on 29 characters that are difficult to build words out of as a natural filter (hopefully) against inapp...
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from typing import Set import re def solidity_unresolved_symbols(hex_code: str) -> Set[str]: """ Return the unresolved symbols contained in the `hex_code`. Note: The binary representation should not be provided since this function relies on the fact that the '_' is invalid in hex encoding. ...
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def socket_get_status(): """ Alias of stream_get_meta_data""" return NotImplementedError()
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def get_ssh_command(public_ip, user=None, proxyjump=None, flag=None): """ Return SSH command """ command = ['ssh'] if proxyjump: command.extend(['-J %s' % (proxyjump.strip())]) if flag: command.extend([flag.strip()]) if user: command.extend(['%s@%s' % (user, public_ip)])...
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import numpy as np def sigmoid(z): """used to compute the sigmoid function""" s = 1/(1+np.exp(-z)) ### END CODE HERE ### return s
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def remove_comment(content): """Remove comment from the content.""" lines = content.split('\n') return '\n'.join([line for line in lines if not line.startswith('#')]).strip()
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def person(request): """ A dummy fixture, parametrized so that it has two instances """ if request.param == 0: return "world" elif request.param == 1: return "self"
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import sys import argparse def parse_args(args=sys.argv[1:]): """Parse arguments.""" parser = argparse.ArgumentParser( description="Monitor the uptime of the Internet connection and record any downtime", prog='python -m monitor_internet_connection') parser.add_argument("-n", "--no-logfil...
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def list_of_dicts_to_dict(l, major_key, other_keys): """ Args: l (list) - list of dictionaries major_key (tuple, str, float, int) - key to orient output dictionary on other_keys (list) - list of keys (tuple, str, float, int) to include in output dictionary Returns: dicti...
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import itertools def aggregate_frame_ranges(frame_ids): """ Compresses a list of frames to ranges :param frame_ids: assumes either a list of frame_ids or a list of lists [frame_id, duration] :return: list of frame ranges """ frame_ids_updated = [] if isinstance(frame_ids[0], list) or isin...
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import re def clean_tag(tag, allow_none=False, mytype='string', default=None, max_len=254): """ Clean the given `tag` instance depending of its `mytype`.""" if default is None and allow_none is False: if mytype == 'string': default = 'unknown' elif mytype == 'integer': ...
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import mpmath def mpmath_normal_cdf2(x, y, r): """ This function produces correct results for inputs currently present in /test/Tests/Data/SpecialFunctionsValues. Other inputs may fall into areas where currently present algorithms produce incorrect results and may require modifying this function. """ ...
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def calculate_square(num): """ Returns the square of a given number """ return num * num
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def fmt_color(text: str, color: str) -> str: """Format a string in a certain color (`<span>`). Args: text: The text to format. color: Any valid CSS color. Returns: A `<span>` that contains the colored text. """ return u'<span style="color:{color}">{text}</span>'.format( ...
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def RIGHT(text, n): """Slices string(s) a specified number of characters from right. Parameters ---------- text : list or string string(s) to be sliced from right. n : integer number of characters to slice from right. Must be greater than zero. Returns ------- list or s...
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def UMinus(a): """ Create an SMT unary negation. Deprecated. Kept for compatiblity with Z3. See "Neg". See also the __neg__ overload (unary - operator) for arithmetic SMT expressions. >>> x = Int('x') >>> UMinus(x) -x """ return -a
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import os def _path(unix_path): """Convert a unix-path into a platform-dependent path.""" return unix_path.replace("/", os.path.sep)
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def alembic_config(): """Override this fixture to configure the exact alembic context setup required.""" return {}
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def e_pest(model, n): """ It's a monkey patch Without this simply expression there is a error in solver.solve ValueError: Unsupported expression type (<class 'pyomo.core.expr.numeric_expr.LinearExpression'>) in _print_nonlinear_terms_NL Parameters ---------- ...
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def _stringify_int(integer): """Convert an integer into a string formatted with thousand separators. Parameters ---------- integer : int The integer. Returns ------- str The integer turned into a string. """ return "{:,}".format(integer)
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import json def get_stored_username(): """Get stored username if available.""" filename = 'username.json' try: with open(filename) as f_obj: username = json.load(f_obj) except FileNotFoundError: return None else: return username
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def resolve_from_parameter(node): """ Resolve 'from_parameter' dependencies. Converts e.g. {'from_parameter': 'data'} to {'data': 'dc_0'} """ in_nodes = {} # Resolve 'from_parameter' if field exists in node arguments for argument in node.arguments: # Check if current argument is iter...
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import codecs import logging import re def ReadUnknownEncodedFile(file_path, logging_text=None): """Read a file of unknown encoding (UTF-8 or latin) by trying in sequence. Args: file_path: what to read. logging_text: what to display for logging depending on file read. Returns: File content, possib...
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def calc_percent(per, cent): """Takes the parameters "per" and "cent" and returns the calculated percent.""" return (per / cent) * 100
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def plus5(num): """assumes num is a numeric returns a numeric, num + 5""" return num + 5
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import collections def empty_defaultdict(): """Returns a defaultdict with an empty defaultdict as default value.""" return collections.defaultdict(empty_defaultdict)
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import posix def OsType(): # type: () -> str """ Compute $OSTYPE variable """ return posix.uname()[0].lower()
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from typing import Union from typing import List from typing import Tuple def edge_has_empty_node( edge: Union[List[str], Tuple[str, str]], node_ids_with_labels ) -> bool: """Check if edge contains an empty node.""" return not str(node_ids_with_labels[edge[0]]) or not str( node_ids_with_labels[edg...
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def reverse_dict(d): """ Flip keys and values """ r_d = {} for k, v in d.items(): if v not in r_d: r_d[v] = [k] else: r_d[v].append(k) return r_d
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import collections def removeDuplicatedLetters(s): """ To remove consecutive same letters Arguments: s : original string Returns: newStr : a string that does not contains consecutive same letters """ conseq_dupls = collections.Counter() newStr = "" ...
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import os def get_img_path_type(parent_folder): """ Args: Parent_folder: Root path Returns: Two lists with paths and correspond types """ list_paths = [] list_types = [] for root, dirs, files in os.walk(parent_folder): for each_file in files: if '.jpg' in each_file: ...
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import random def genEtu(n): """ """ res = [] c = list(range(0, 9)) for i in range(n): res.append(random.sample(c, 9)) res[i].insert(0, i) return res
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import argparse def parse_args(): """ Parse input arguments """ parser = argparse.ArgumentParser(description='Feature extraction for RCC algorithm') parser.add_argument('--dataset', default=None, type=str, help='The entered dataset file must be in the Data folder') parser.add_...
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import os def get_gdf_header(gdf_file, gdf2a_bin=os.path.expandvars('$GDF2A_BIN')): """Reads the header (column names) of gdf_file and returns them""" assert os.path.exists(gdf2a_bin), f'The gdf2a binary "{gdf2a_bin}" does not exist.' assert os.path.exists(gdf_file), f'The gdf file "{gdf_file}" does not...
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import torch def mpjpe_by_action_p1(predicted, target, action, action_error_sum): """ Mean per-joint position error (i.e. mean Euclidean distance), often referred to as "Protocol #1" in many papers. """ assert predicted.shape == target.shape num = predicted.size(0) dist = torch.mean(torch....
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def time_analyze(time): """ Time documentation 7:00 - 7:05 = 0 7:05 - 7:10 = 1 7:10 - 7:15 = 2 7:15 - 7:20 = 3 7:20 - 7:25 = 4 . . . 23:55 - 00:00 = 203 """ if time == "00:00": return 204 hour = int(time[0:2]) hour = (hour - 7) * 12 minutes = int(time[-2:]) // 5 return hour + minutes
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import os def get_env(key: str) -> str: """Get the environment value for a given key Args: key (str): The name of the environment variable Returns: str: Its value """ return os.environ[key]
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def get_image_type(fileName): """ Get image type. :param fileName: :return: """ if fileName.endswith(".jpg"): return "image/jpeg" elif fileName.endswith(".png"): return "image/png"
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def cli(ctx, state="", history_id="", invocation_id="", tool_id="", workflow_id="", user_id="", date_range_min="", date_range_max="", limit=500, offset=0, user_details=False): """Get all jobs, or select a subset by specifying optional arguments for filtering (e.g. a state). Output: Summary information for eac...
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def build_table(x, perceiver, cache, cache_emb, topk, return_images=False, index_dir=None): """ Maps each image to a linearized row in a table. Each entry in a row is delimited by "|". Each entry comes from the t...
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def Check_NOT(promotor, Output_P, Gates): """Check the whole list and returns the delay of the gate matching with inputs""" for i in Gates: if i[0] == promotor and i[1] == Output_P: return i[2] return 0
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from pathlib import Path import os def cachedir() -> Path: """Return the path of the cache directory.""" if os.environ.get("TEST_TMPDIR"): return Path(os.environ["TEST_TMPDIR"]) else: return Path("~/.cache/programl").expanduser()
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def get_or_create_vcf_output_dir(alignment_group): """Ensures root directory for vcf files exists and returns the full path. Root directory looks like: /projects/<project_uid>/alignment_groups/vcf/ And per-tool vcf files will go in directory: /projects/<project_uid>/alignment_groups/vcf/<v...
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def commonName(names): """return common name from list of names""" name = names[0] for n in names[1:]: while not name in n: name = name[:-1] # strip common endings for s in [' ','(','.','/','\\','_']: name = name.strip(s) return name
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def match_pattern(resource: bytes, pattern: bytes, mask: bytes, ignored: bytes): """ Implementation of algorithm in:x https://mimesniff.spec.whatwg.org/#matching-a-mime-type-pattern True if pattern matches the resource. False otherwise. """ resource = bytearray(resource) pattern = bytearray(...
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import random def randomSnack(rows,item): """ create random snack cubes: we must be sure we dont put a snack on top of the snake """ #global rows positions = item.body while True: x = random.randrange(rows) y = random.randrange(rows) #we get a list of filtered list and check if and of the positions #a...
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import torch def mse(target, predicted): """Mean Squared Error""" return torch.mean((target - predicted)**2)
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def min_scalar_type(a): """ min_scalar_type(a) For scalar ``a``, returns the data type with the smallest size and smallest scalar kind which can hold its value. For non-scalar array ``a``, returns the vector's dtype unmodified. Floating point values are not demoted to integers, and comple...
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from typing import Any def force_list(value: Any) -> list: """ Convert `value` to list or return `value` if it is already a list. :param value: Value to convert to list. """ return list(value) if isinstance(value, (list, tuple)) else [value]
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def override_key(key) -> str: """Handles the fn key for macs""" if str(key) == "<179>" or str(key) == "<63>": return "Key.fn" if str(key) == "'\\\\'": return "'\\'" return str(key)
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def readCoNLL(inputPath, cols, commentSymbol=None): """ Reads in a CoNLL file and returns a list with sentences (each sentence is a list of tokens) """ sentences = [] sentenceTemplate = {name: [] for name in cols.values()} sentence = {name: [] for name in sentenceTemplate.keys()} ...
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def get_frameshift_lengths(num_bins): """Simple function that returns the lengths for each frameshift category if `num_bins` number of frameshift categories are requested. """ fs_len = [] i = 1 tmp_bins = 0 while(tmp_bins<num_bins): if i%3: fs_len.append(i) tm...
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def set_appliance_discovery_emails( self, email_list: list[str], ) -> bool: """Update email addresses configured to be notified for discovery of new appliances. .. warning:: Replaces the current configured list with the new list. To add an email, first retrieve the current emails an...
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def _check_not_none(value, name): """Checks that value is not None.""" if value is None: raise ValueError(f"`{name}` must be specified.") return value
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def check_drange(drange, pdate1, pdate2): """ drange : list of two datetimes pdate1 : datetime pdate2 : datetime Returns savedata : boolean returns True if drange is between pdate1 and pdate2 """ savedata = True testf = True # if pdate1 is within drange then save the data....
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import heapq import functools import itertools def nlargest_heapreplace2(n, iterable): """Return the n largest items in the given iterable.""" # Uses the heapq.heapify structure for the list of largest numbers, to # replace the search for the minimal number at every turn. The search is # replaced by m...
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def fill_point(x, y, z, _): """ Returns a string defining a set of minecraft fill coordinates relative to the actor. In minecraft, the y axis denotes the vertical (non-intuitively). """ return f'~{int(x)} ~{int(z)} ~{int(y)}'
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import os def is_exe(fpath): """Returns true if fpath is an executable.""" return os.path.isfile(fpath) and os.access(fpath, os.X_OK)
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import operator def advance_permutation(a, increasing=True, forward=True): """ Advance a list of unique, ordered elements in-place, lexicographically increasing or backward, by rightmost or leftmost digit. Returns False if the permutation wrapped around - i.e. went from lexicographically greatest...
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def clearzero(df): """Remove STN rows which have 0% robustness across all runs.""" unique_stns = df.drop_duplicates(subset="stn_path") to_remove = [] for _, row in unique_stns.iterrows(): stn_path = row["stn_path"] runs = df.loc[df["stn_path"] == stn_path] all_zero = True ...
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def locate_block_by_hash(chain, prev_hash): """ 在区块链中定位区块 :param chain: 区块链 :param prev_hash: 前一区块的哈希 :return: 区块的高度 """ for height, block in enumerate(chain): if block.hash == prev_hash: return height + 1 return -1
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def wait4localstack_object(): """Wait4Localstack object.""" return {}
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def _empty_network(create_using, default): """Return an empty network. See Also -------- empty_hypergraph empty_simplicial_complex """ if create_using is None: H = default() elif hasattr(create_using, "_node"): # create_using is a Hypergraph object create_using....
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def prompt(msg): """Prompt the user for input.""" value = "" while not value: value = input(msg+" ").strip() return value
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import math def p_sequence(expected_value, days_a_week, upper_bound, step): """Calcualtes the capacity values to test.""" lower_p = math.ceil(days_a_week*expected_value/0.99) # PSEQ per week, pseq per day PSEQ = sorted(list(set([int(lower_p + step*i) for i in range(upper_bound)]))) pseq = [round(i...
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import torch def jitter(X, ox, oy): """ Helper function to randomly jitter an image. Inputs - X: PyTorch Tensor of shape (N, C, H, W) - ox, oy: Integers giving number of pixels to jitter along W and H axes Returns: A new PyTorch Tensor of shape (N, C, H, W) """ if ox != 0: left = X[:, :, :, ...
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import sys def make_input_pipeline_from_def(def_dict, mode, **kwargs): """Creates an InputPipeline object from a dictionary definition. Args: def_dict: A dictionary defining the input pipeline. It must have "class" and "params" that correspond to the class name and constructor parameters of an In...
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import time def add_timer(func_name): """Decorator to add timing to run commands """ def decorator(func): def wrapper(*args, **kwargs): start = time.time() func(*args, **kwargs) end = time.time() line_len = 88 print("") print...
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def recall_at_n(asins: list, predicted_asins: list) -> float: """ Args: asins ([list]): predicted_asins ([list]): """ # number of relevant items set_actual = set(asins) set_preds = set(predicted_asins) num_relevant = len(set_actual.intersection(set_preds)) # calculating...
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def volmesh_halfface_pinch(volmesh, hfkey, xyz): """ """ x, y, z = xyz w = volmesh.add_vertex(x=x, y=y, z=z) hf_vkeys = volmesh.halfface_vertices(hfkey) cell_halffaces = [hf_vkeys[::-1]] halfedges = volmesh.halfface_halfedges(hfkey) for u, v in halfedges: cell_halffaces.append(...
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from numpy import array, arctan2, sqrt, shape def vec_to_angles(vec): """ converts vector (x,y,z) to (magnitude, theta, phi) """ magnitude, theta, phi = [], [], [] if len(vec)==3 and len(shape(vec))<2: vec = array([vec]) multiple_entries = False else: multiple_entries =...
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import re def to_slug(value): """ Convert a string to a URL slug. """ value = value.lower() # Space to dashes value = re.sub(r'[\s_]+', '-', value) # Special characters value = re.sub(r'[^a-z0-9\-]+', '', value, flags=re.I) # Extra dashes value = re.sub(r'\-{2,}', '-', value) va...
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def get_digits_by_length(patterns, length): """Find all digits of a given length.""" return [pattern for pattern in patterns if len(pattern) == length]
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def calculate_fantasy_points(player) -> float: """ Calculate the fantasy points this player earned from the formula Kill = 0.3 Death = -0.3 Assist = 0.15 Last Hit = 0.003 Gold per minute = 0.002 EXP per minute = 0.002 Seconds of enemy stuns = 0.07 Every 1000 allied healing done ...
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