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def paths_same_disk(photos_path:str, export_path:str)->bool: """ Checks if the provided input path and the export path are "located" on the same disk. :param photos_path: path to photos :type photos_path: str :param export_path: path to the directory where the photo folder structure will be created...
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def check_bibtex_entry(entry, fix = False): """ Check whether an entry is suitable for the database. Returns None if all is ok, else returns a user-readable string describing the error. If fix is set to true then will 'fix' any problems by replacing errors with dummy values. This is only useful during testing and...
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def get_handcrafted_feature_names(platform): """ Returns a set of feature names to be calculated. Output: - names: A set of strings, corresponding to the features to be calculated. """ names = set() ###############################################################################################...
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import torch def torch_get_device_according_to_device_type(device_str): """ :param device_str: e.g.: 'cpu', 'gpu', 'cuda:1' :return: """ # enabling GPU vs CPU: if device_str == 'cpu': device = torch.device('cpu') # default CPU. cpu:0 ? elif device_str == 'cuda:1': device =...
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def get_batch(batch): """Get the batch into training format. Arg: batch: The iterator of the dataset Returns: batch_data: The origin processed data (i.e batch_size * (triples, summary)) batch_idx_data: The indexing-processed data (e.g bat...
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import inspect import os def get_caller_dir(): """ """ # get the caller's stack frame and extract its file path frame_info = inspect.stack()[3] filepath = frame_info.filename del frame_info # drop the reference to the stack frame to avoid reference cycles # make the path absolute (optional) ...
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def get_key_name_as_convention(desired_name: str): """ :param desired_name: The name you would like to convert :return: The key name as a personal convention I'm using for brightness.ini """ return desired_name.lower().replace(" ", "").replace(":", "")
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def firstn_A(n): """List generation method""" num, nums = 0, [] while num < n: nums.append(num) num += 1 return nums
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from pathlib import Path def make_path_like(path_like): """Attempts to convert a string to a Path instance.""" if isinstance(path_like, Path): return path_like try: return Path(path_like) except TypeError: raise TypeError(f'could not convert to Path: {path_like}')
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import tempfile import json def write_json_temp_file(data): """Writes the provided data to a json file and return the filename""" with tempfile.NamedTemporaryFile(delete=False, mode='wb') as temp_file: temp_file.write(json.dumps(data).encode('utf-8')) return temp_file.name
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import argparse def get_args(): """Get arguments from command line.""" parser = argparse.ArgumentParser( description='Get a list of rhyming words.', formatter_class=argparse.ArgumentDefaultsHelpFormatter) parser.add_argument('word', help='Word to be rhymed') return parser.parse_args()
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def read_input(path: str) -> list: """ Read game board file from path. Return list of str. >>> read_input("check.txt") ['***21**', '412453*', '423145*', '*543215', '*35214*', '*41532*', '*2*1***'] """ with open(path, 'r') as lines: state = [] for line in lines: s...
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def pairs(clustergenerator, labels): """Create an iterable of (N, {label1, label2 ...}) for each cluster in a ClusterGenerator, where N is "1", "2", "3", etc. Useful to pass to e.g. vambtools.writer_clusters. Inputs: clustergenerator: A ClusterGenerator object labels: List or array of c...
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def lstsq(X,Y): """ 最小二乘法线性回归 """ n = len(X) sumX,sumY,sumXY,sumXX =0,0,0,0 for i in range(0,n): sumX += X[i] sumY += Y[i] sumXX += X[i]*X[i] sumXY += X[i]*Y[i] a = (n*sumXY -sumX*sumY)/(n*sumXX -sumX*sumX) b = (sumXX*sumY - sumX*sumXY)/(n*sumXX-sumX*sum...
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def message_is_nonzero(incoming_message): """ returns True if all slots and subslots are nonzero False otherwise Note: tested only with geometry messages Twist() """ slots_objects = incoming_message.__reduce__()[2] for slot_object in slots_objects: value_list = slot_object.__reduce_...
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import cProfile def profile_me(func): # pragma: no cover """ Profiling decorator, produce a report <func-name>.profile to be open as `python -m snakeviz <func-name>.profile` Parameters ---------- func : func, function to profile """ def profiled_func(*args, **kwargs): filename =...
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def cubec_to_cubei(cubec): """Cube centimetre to cube inch""" return cubec * 0.061
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def create_plain(): """Create string of plain characters alphabetized.""" return "abcdefghijklmnopqrstuvwxyz"
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import math def determine_padding(filter_shape, output_shape="same"): """Method which calculates the padding based on the specified output shape and the shape of the filters.""" if output_shape == "valid": return (0, 0), (0, 0) elif output_shape == "same": filter_height, filter_widt...
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def no_conditions(node_conditions): """ :param node_conditions: :return: """ for node in node_conditions: if bool(node): return False return True
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from typing import Sequence from typing import Optional from typing import Callable def make_add_field_names_preprocessor( field_names: Sequence[str], field_indices: Optional[Sequence[int]] = None, ) -> Callable: """Make a preprocessor to add field names to a dataset. Create a preprocessor that converts ...
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def strip_parentheses(string): """ Remove parentheses from a string, leaving parentheses between <tags> in place Args: string: the string to remove parentheses from Returns: the processed string after removal of parentheses """ nested_parentheses = nesting_level = 0 res...
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def parse_multplt(path): """ Parses multplt.def file and returns list of lists like: [station, channel type (e.g. SH), channel (E, N or Z)]. """ data = [] with open(path, "r") as f: lines = f.readlines() tag = "DEFAULT CHANNEL" for line in lines: if line[:len(tag...
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import time def calculate_time(func): """ this higher-order function calculates and print out the execution time of the arg function """ def inner(*args, **kwargs): # storing time before function execution begin = time.time() result = func(*args, **kwargs) # storing...
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def count_neighbors(grid2count, posInRow, posInCol): """returns number of ALIVE neighbors from a given position on a given grid using try except approach""" count = 0 for x in range(-1, 2): for y in range(-1, 2): try: if grid2count[posInRow + x][posInCol + y] == 1: ...
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def run_query(client, query): """ Runs BigQuery queryjob :param client: BigQuery client object :param query: Query to run as a string :return: QueryJob object """ return client.query(query)
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import os def _path(*args): """Join args as path.""" return os.path.join(*args)
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def isRoot(obj, scene=None): """Returns whether or not the object passed to obj is a Phobos model root. Args: obj(bpy.types.Object): The object for which model root status is tested. scene: (Default value = None) Returns: """ rootdefinition = obj is not None and obj.phobostype in ['li...
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def add_scalebar(image_obj, scalebar_px): """ Adds a scalebar to the input image and returns a new edited image """ ## set the indentation to be ~2.5% inset from the bottom left corner of the image indent_px = int(image_obj.height * 0.025) ## set the stroke to be ~0.5% image size stroke = int(im...
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def sentence_case(sentence, exciting=False): """Capitalise the first letter of the sentence and add a full stop.""" sentence = sentence[0].upper() + sentence[1:] if sentence[-1] in {'.', '!', '?'}: return sentence elif exciting: return sentence + "!" else: return sentence + "."
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import time def get_cpu_time_unit(): """ a unit of time independent on cpu run this code for simulating time """ started_at = time.time() for i in range(1, 10000): if i % 2 == 0: temp = i / 2 else: temp = 2 * i ended_at = time.time() return ended_a...
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def lerp(a, b, x): """Linear interpolation between a and b using weight x.""" return a + x * (b - a)
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def grid_search_params(params): """ Given a dict of parameters, return a list of dicts """ params_list = [] for ip, (param, options) in enumerate(params.items()): if ip == 0: params_list += [{param: v} for v in options] continue _params_list = [dict(_) f...
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def pretty_eta(seconds_left): """Print the number of seconds in human readable format. Cited from baselines (OpenAI) Examples: 2 days 2 hours and 37 minutes less than a minute Paramters --------- seconds_left: int Number of seconds to be converted to the ETA Returns ...
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import os def xisfile(somefile): """tests the given file is available for reading.""" if (somefile is None): return False if os.path.isabs(somefile) and os.path.isfile(somefile): return os.access(somefile, os.F_OK ^ os.R_OK) return os.path.isfile(os.path.abspath(somefile))
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import copy def update_categories(desired_name2id: dict, coco_dict: dict) -> dict: """ Rearranges category mapping of given COCO dictionary based on given category_mapping. Can also be used to filter some of the categories. Arguments: --------- desired_name2id : dict {"big_veh...
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def term_frequency(term, tokenized_document): """Tokenized document is the list of tokens(words in a document)""" return tokenized_document.count(term)
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def _EdgeStyle(data): """Helper callback to set default edge styles.""" flow = data.get("flow") if flow in {"backward_control", "backward_data", "backward_call"}: return "dashed" else: return "solid"
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import math def _flat_hex_coords(centre, size, i): """ Return the point coordinate of a flat-topped regular hexagon. points are returned in counter-clockwise order as i increases the first coordinate (i=0) will be: centre.x + size, centre.y """ angle_deg = 60 * i angle_rad = math.pi / 180...
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import requests def make_get_request(uri: str, payload): """ Function to make a GET request to API Endpoint :param uri: :param payload: :return: """ response = requests.get(uri, payload) if response.status_code != 200: return None else: return response.json()
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def matrix_have_value(matrix, value): """ 判断递增矩阵中是否有某个值 :param matrix: :param value: :return: """ if not matrix: return False m = len(matrix) n = len(matrix[0]) point = (0, n - 1) while True: if point[0] >= m or point[1] < 0: break if mat...
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def has_two_adjacent(password): """Check if the password contains a pair of adjacent digits""" last_char = None num_adjacent = 0 for char in password: if char == last_char: num_adjacent += 1 else: if num_adjacent == 1: return True las...
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def assemble_flag_arguments(args): """Assemble dict of flag arguments into string.""" return ' '.join([name for name, use in args.items() if use])
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import torch def dot(A, B, dim=-1): """ Computes the dot product of the input tensors along the specified dimension Parameters ---------- A : Tensor first input tensor B : Tensor second input tensor dim : int (optional) dimension along the dot product is computed (...
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def PGetTableList (inUV): """ Return the member tableList returns tableList inUV = Python UV object """ ################################################################ if ('myClass' in inUV.__dict__) and (inUV.myClass=='AIPSUVData'): raise TypeError("Function unavailable for "+inUV.m...
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from typing import Union def check_prefix(prefix: Union[str, tuple, list], content: str): """Determines whether or not the prefix matches the content. Parameters ---------- prefix : Union[str, tuple, list] The affix that appears at the beginning of a sentence. content : str The s...
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def check(msg): """Check if a letter is entered. If it is tell the user that doesn't work then prompt them again.""" while True: try: msg = (int(input())) except ValueError: print("You Have to enter numbers and only numbers.") continue return msg
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def _account_data(cloud): """Generate the auth data JSON response.""" claims = cloud.claims return { 'email': claims['email'], 'sub_exp': claims['custom:sub-exp'], 'cloud': cloud.iot.state, }
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import os def authentication_headers(): """Get authentication headers.""" headers = { 'Content-Type': 'application/json', 'Renku-User-Id': 'b4b4de0eda0f471ab82702bd5c367fa7', 'Renku-User-FullName': 'Just Sam', 'Renku-User-Email': 'contact@justsam.io', 'Authorization': '...
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def move_effective(board): """Returns the list of the move that would have an effect on the game""" list = [] for i in range(board.height): for j in range(board.width): if board.read_tile(i,j) == None: list.append(3*i+j) return list
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def _determine_start(lines): """ Determines where the section listing all SMART attributes begins. :param lines: the input split into lines. :type lines: list[str] :return: the index of the first attribute. :rtype: int """ cnt = 0 for idx, val in enumerate(lines): if lines[...
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def preprocess_nonunique(df_psms): """ Return unique dataframe. Parameters ---------- df1 : TYPE DESCRIPTION. Returns ------- df2 : TYPE DESCRIPTION. """ # columsn to create unique id # grp_cols = ["PepSeq1", "PepSeq2", "exp charge", "LinkPos1", "LinkPos2"]...
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import torch def featuremap_to_greymap(feature_map): """ feature_map: (C, sizey, sizex) grey_map: (sizey, sizex) """ if len(feature_map.shape) == 3: feature_map = feature_map.unsqueeze(dim=0) # (b, c, sizey, sizex) elif len(feature_map.shape) == 4: pass else: raise ...
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def globals(): """Return the dictionary containing the current scope's global variables. :rtype: dict[string, unknown] """ return {}
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def specificrulevalue(ruleset, summary, default=None): """ Determine the most specific policy for a system with the given multiattractor summary. The ruleset is a dict of rules, where each key is an aspect of varying specificity: - 2-tuples are the most specific and match systems with that summary. ...
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def join_speech(utt1, utt2): """ Joins two conversations using a '\n' Join texts and doesn't care about segments Assumption: utt1 is the one being popped off from the stack and the utt2 is the one trying to be added. This is so that I check for 'ctr' field only in one of ...
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def rotate90_point(x, y, rotate90origin=()): """Rotates a point 90 degrees CCW in the x-y plane. Args: x, y (float): Coordinates. rotate90origin (tuple): x, y origin for 90 degree CCW rotation in x-y plane. Returns: xrot, yrot (float): Rotated coordinates. """ # Translate ...
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def is_dict(value): """Checks if value is a dict""" return isinstance(value, dict)
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import argparse def parse_args(argv=None) -> argparse.Namespace: """ Parses module-specific arguments. Solves argument dependencies and returns cleaned up arguments. :returns: arguments object """ parser = argparse.ArgumentParser() parser.add_argument( '-a', '--architecture', typ...
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def get_ordinal_suffix(number): """Receives a number int and returns it appended with its ordinal suffix, so 1 -> 1st, 2 -> 2nd, 4 -> 4th, 11 -> 11th, etc. Rules: https://en.wikipedia.org/wiki/Ordinal_indicator#English - st is used with numbers ending in 1 (e.g. 1st, pronounced first) ...
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from typing import Any def _getattr(obj: object, name: str) -> Any: """Convenience wrapper to work around custom __getattribute__.""" return object.__getattribute__(obj, name)
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import time def get_time(): """Returns the current minutes past the hour.""" return int(time.strftime("%M"))
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def noamwd_decay(step, warmup_steps, model_size, rate, decay_steps, start_step=0): """Learning rate schedule optimized for huge batches""" return (model_size ** (-0.5) * min(step ** (-0.5), step * warmup_steps**(-1.5)) * rate ** (max(step - start_step + decay_steps, 0) // decay_steps))
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import hashlib def unique_hash(input_str: str) -> str: """Uses MD5 to return a unique key, assuming the input string is unique""" # assuming default UTF-8 return hashlib.md5(input_str.encode()).hexdigest()
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def converter_parameter_to_int(value): """ Converts the given value to string. Parameters ---------- value : `str` The value to convert to string. Returns ------- value : `None` or `int` Returns `None` if conversion failed. """ try: value = int(v...
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def open_door(open_door_media, open_door_permission): """ This fixture returns a tuple containing the Media and Permission objects corresponding to the open door test data """ return (open_door_media, open_door_permission)
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def show_price(price: float) -> str: """ >>> show_price(1000) '$ 1,000.00' >>> show_price(1_250.75) '$ 1,250.75' """ return "$ {0:,.2f}".format(price)
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def Kargs2Attr( ): """ This Decorator Will: Read **kwargs key and add it to current Object-class ClassTinyDecl under current name readed from **kwargs key name. """ def decorator( func ): def inner( **kwargs ): for ItemName in kwargs.keys(): set...
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def binary(): """Binary representation.""" return "{:b}".format(2**8-1)
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import os def exists(path): """Returns True if a file/dir exists at the given path.""" return os.path.isfile(path) or os.path.isdir(path)
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def format_title(title, first_title): """ Generates the string for a title of the example page, formatted for a 'sphinx-gallery' example script. Parameters ---------- title : string The title string. first_title : boolean Indicates whether the title is the first title of the ...
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import torch def get_saliency(interpreter, inputs, target): """ Perform integrated gradient for saliency. """ # define saliency interpreter # interpreter = captum.attr.Saliency(net) attribution = interpreter.attribute(inputs, target) attribution = torch.squeeze(attribution) return torch.su...
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import re def _get_story(story_all): """ Function to extract story text without date and source line. Parameters ---------- story_all: String. Content of a news story as pulled from the web scraping database. Returns ------- story: String. ...
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import collections def parse_gtid_range_string(input_range): """Converts a string like "uuid1:id1-id2:id3:id4-id5, uuid2:id6" into a dict like {"uuid1": [[id1, id2], [id3, id3], [id4, id5]], "uuid2": [[id6, id6]]}. ID ranges are sorted from lowest to highest""" # This might be called again for a value...
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import argparse def get_args(): """This function manages the arguments in this main function""" # Define aguments parser = argparse.ArgumentParser() parser.add_argument('num', type=int, default=10**2) args = parser.parse_args() return args
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def base36_to_int(s): """ Convertd a base 36 string to an integer """ return int(s, 36)
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import string def _clean_string(s): """Clean up a string. Specifically, cleaning up a string entails 1. making it lowercase, 2. replacing spaces with underscores, and 3. removing any characters that are not lowercase letters, numbers, or underscores. Parameters ---------- s: s...
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def invert_grayscale(mnist_digits): """ Makes black white, and white black """ return 1 - mnist_digits
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import csv def setup_time_delta(time_delta_begin, time_delta_end, time_delta_step, time_delta_config_file): """Returns a timedelta specification""" time_delta_config = dict() time_delta_config['default', 'default'] = ( min(time_delta_begin, -time_delta_begin), time_delta_end, time_delta_step) ...
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import uuid def get_everything_to_post_except_timeseries(source_name, path, obj_uuid, timezone = "US/Pacific", units="kW", additional_metadata={}): """ This function deals with handling all the metadata. i.e. everything that isn't a (timestamp, value) pair. Since one of the fields is actually cal...
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import random def random_chance(players): """ creates random chances of the players players: dict(name -> [beed,number]) returns: """ random_players = list(players.keys()).copy() random.shuffle(random_players) return random_players
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import os def get_project_sequence(path): """ Returns project sequence for a given path Args: path (str): full project file path Returns: ([str]): list of project parts """ root, file = os.path.split(path) file = file.split(".")[0] file_parts = file.split("_") re...
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def frontiers_from_time_to_bar(seq, bars): """ Convert the frontiers in time to a bar index. The selected bar is the one which end is the closest from the frontier. Parameters ---------- seq : list of float The list of frontiers, in time. bars : list of tuple of floats The b...
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def frange(start, stop, step): """frange(start, stop, step) -> list of floats""" l = [] if start <= stop and step > 0: x = start while x <= stop: l.append(x) x += step return l elif start >= stop and step < 0: x = start while x >= stop: ...
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def format_aws_tags(resource_id, tags): """ Refine the format of tags under AWS tag syntax :type resource_id: string :param resource_id: AWS Resource Id :type tags: list :param tags: a list of tags to refine """ api_tags = [] for key, value in tags.iteritems(): new_tag = {}...
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def start_build(cloudbuild, build_body): """Start a build.""" build_info = cloudbuild.projects().builds().create( projectId='google.com:clusterfuzz', body=build_body).execute() return build_info['metadata']['build']['id']
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def split_int(i, p): """ Split i into p buckets, such that the bucket size is as equal as possible Args: i: integer to be split p: number of buckets Returns: list of length p, such that sum(list) = i, and the list entries differ by at most 1 """ split = [] n = i / p # min ...
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def create_dialog_from_url(ctx,dlg_url): """Create dialog from URL.""" dp = ctx.getServiceManager().createInstanceWithContext( 'com.sun.star.awt.DialogProvider', ctx) return dp.createDialog(dlg_url)
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def get_instance_info(instance): """Get some information about an instance. Returns a tuple: (name, flavour, key, security, image, userdata) """ data = instance.describe_attribute(Attribute='instanceType') name = data['InstanceId'] flavour = data['InstanceType']['Value'] data = i...
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def getClientId(): """Returns a hex-string that represents a number unique to the running client's session. You are guaranteed that this number is unique between all running clients. Returns: str: A special code representing the client's session in a unique way. """ ret...
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def findNthFibonnachiNumberIterative(n: int) -> int: """Find the nth fibonacchi number Returns: int: the number output """ if n <= 2: return 1 first, second = 0, 1 while n-1: third = first + second first = second second = third n -= 1 return...
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def eval_string(input_string, locals): """Dynamically evaluates the input_string expression. This provides dynamic python eval of an input expression. The return is whatever the result of the expression is. Use with caution: since input_string executes any arbitrary code object, the potential for ...
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def get_provenance_record(attributes, tags, **kwargs): """Get provenance record. Parameters ---------- attributes : dict Plot attributes. All provenance keys need to start with ``'provenance_'``. tags : list of str Tags used to retrieve data from the ``attributes`` :obj:`dic...
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def load_factor(ts, resolution=None, norm=None): """ Calculate the ratio of input vs. norm over a given interval. Parameters ---------- ts : pandas.Series timeseries resolution : str, optional interval over which to calculate the ratio default: resolution of the input ti...
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def construct_iscsi_bdev(client, name, url, initiator_iqn): """Construct a iSCSI block device. Args: name: name of block device url: iSCSI URL initiator_iqn: IQN name to be used by initiator Returns: Name of created block device. """ params = { 'name': name,...
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import numpy def points_in_triangle(tri, points, tol=1e-8): """ Test if the points are inside the triangle. Input: tri - the triangle as a matrix where the rows are the xy points. points - the points as a matrix where the rows are the xy points. Returns a vector of boolean values. ...
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def min_interp(interp_object): """ Find the global minimum of a function represented as an interpolation object. """ try: return interp_object.x[interp_object(interp_object.x).argmin()] except Exception as e: s = "Cannot find minimum of tthe interpolation object" + str(interp_object....
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def enforce_list_inds(inds,list_ofs): """Return itenms in a list from a list of their indices. Mostly used when taking indices from unq2List(rxn_list) and applying them in K,GStr, F lists.""" out=list() # Empty list to hold things for output. # Loop over all items turn into arrays so we...
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def filter_science_message(message): """Strips the vehicle science message. vehicle_scalar_science_queue (SDQ 4) SentryScalarScience.msg float32 oxygen_concentration float32 obs_raw float32 orp_raw float32 ctd_temperature float32 ctd_salinity float32 p...
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def hasSchema(sUrl): """ Checks if the URL has a schema (e.g. http://) or is file/server relative. Returns True if schema is present, False if not. """ iColon = sUrl.find(':'); if iColon > 0: sSchema = sUrl[0:iColon]; if len(sSchema) >= 2 and len(sSchema) < 16 and sSchema.islower...
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