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def test_bitwise_and(a, b): """ >>> test_bitwise_and(0b01, 0b10) 0L >>> test_bitwise_and(0b01, 0b11) 1L >>> test_bitwise_and(0b01, 2.0) Traceback (most recent call last): ... NumbaError: 27:15: Expected an int, or object, or bool >>> test_bitwise_and(2.0, 0b01) Tracebac...
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def offer_in_influencing_offers(offerId, influencing_offers): """ Find if a passed offerId is in the influencing_offers list Parameters ---------- offerId: Offer Id from portfolio dataframe. influencing_offers : List of offers found for a customer Returns ------- 1 if of...
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def compara_dv(cpf, primeiro_dv, segundo_dv): """Valida se dígitos verificadores calculados são iguais aos inseridos.""" return "válido" if primeiro_dv == int(cpf[9]) and segundo_dv == int(cpf[10]) else "inválido"
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def write_file(file_name, data, line_length): """ Writes the results to a text file using a name based on file_name input: string, list returns: int """ pos = file_name.rfind('.') fn_o = file_name[:pos] + '.OUT' + file_name[pos:] f = open(fn_o, "w") for fsn, sequence in data: ...
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def poisson_moment( k, n): """ returns the moment of x**n with expectation value k CURRENTLY A SET OF HARD CODED EXPRESSIONS! VERY FRAGILE! --> would be *much* better if we could do this algorithmically """ if n==0: return 1 elif n==1: return k elif n==2: ret...
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import calendar def generate_days(year): """Generates all tuples (YYYY, MM, DD) of days in a year """ cal = calendar.Calendar() days = [] for m in range(1,13): days.extend(list(cal.itermonthdays3(year, m))) days = [d for d in set(days) if d[0] == year] days.sort() return days
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import asyncio async def start(actual_coroutine): """ Start the testing coroutine and wait 1 second for it to complete. :raises asyncio.CancelledError when the coroutine fails to finish its work in 1 second. :returns: the return value of the actual_coroutine. :rtype: Any """ try: ...
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def generate_input_types(): """ Define the different input types that are used in the factory :return: list of items """ input_types = ["Angle_irons", "Tubes", "Channels", "Mig_wire", "Argon_gas", "Galvanised_sheets", "Budget_locks", "Welding_rods", "Body_filler", "Grinding_discs"...
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import os def get_project_path_info(): """ 获取项目路径 project_path 指整个git项目的目录 poseidon_path 指git项目中名字叫poseidon的目录 """ _poseidon_path = os.path.dirname(os.path.dirname(os.path.dirname(__file__))) _project_path = os.path.dirname(_poseidon_path) return {"project_path": _project_path, ...
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def prepare_data(song: dict) -> dict: """ Prepares song dataa for database insertion to cut down on duplicates :param song: Song data :return: The song data """ song['artist'] = song['artist'].upper().strip() song['title'] = song['title'].upper().strip() return song
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import networkx import torch def generate_erdos_renyi_netx(p, N): """ Generate random Erdos Renyi graph """ g = networkx.erdos_renyi_graph(N, p) W = networkx.adjacency_matrix(g).todense() return g, torch.as_tensor(W, dtype=torch.float)
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from typing import Union from pathlib import Path import yaml def load_cfg(cfg_file: Union[str, Path]) -> dict: """Load the PCC algs config file in YAML format with custom tag !join. Parameters ---------- cfg_file : `Union[str, Path]` The YAML config file. Returns ------- `d...
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def get_model_defaults(cls): """ This function receives a model class and returns the default values for the class in the form of a dict. If the default value is a function, the function will be executed. This is meant for simple functions such as datetime and uuid. Args: cls: (obj) : A Mo...
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def create_property_map(cls, property_map=None): """ Helper function for creating property maps """ _property_map = None if property_map: if callable(property_map): _property_map = property_map(cls) else: _property_map = property_map.copy() else: _propert...
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def read_k_bytes(sock, remaining=0): """ Read exactly `remaining` bytes from the socket. Blocks until the required bytes are available and return the data read as raw bytes. Call to this function blocks until required bytes are available in the socket. Arguments --------- sock : So...
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def total_minutes(data): """ Calcula a quantidade total de minutos com base nas palestras submetidas. """ soma = 0 for item in data.keys(): soma += (item*len(data[item])) return soma
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def rowcount_fetcher(cursor): """ Return the rowcount returned by the cursor. """ return cursor.rowcount
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def xsthrow_format(formula): """formats the string to follow the xstool_throw convention for toy vars """ return (formula. replace('accum_level[0]', 'accum_level[xstool_throw]'). replace('selmu_mom[0]', 'selmu_mom[xstool_throw]'). replace('selmu_theta[0]', 'selmu_thet...
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def getParInfo(sourceOp, pattern='*', names=None, includeCustom=True, includeNonCustom=True): """ Returns parInfo dict for sourceOp. Filtered in the following order: pattern is a pattern match string names can be a list of names to include, default None includes all includeCustom to include custom parame...
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def _landstat(landscape, updated_model, in_coords): """ Compute the statistic for transforming coordinates onto an existing "landscape" of "mountains" representing source positions. Since the landscape is an array and therefore pixellated, the precision is limited. Parameters ---------- lan...
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def presence(label): """Higher-order function to test presence of a given label """ return lambda x, y: 1.0 * ((label in x) == (label in y))
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def select(population, to_retain): """Go through all of the warroirs and check which ones are best fit to breed and move on.""" #This starts off by sorting the population then gets all of the population dived by 2 using floor divison I think #that just makes sure it doesn't output as a pesky decimal. Then i...
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def remove_duplicates(l): """ Remove any duplicates from the original list. Return a list without duplicates. """ new_l = l[:] tmp_l = new_l[:] for e in l: tmp_l.remove(e) if e in tmp_l: new_l.remove(e) return new_l
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import re def ResolveWikiLinks(html): """Given an html file, convert [[WikiLinks]] into links to the personal wiki: <a href="https://z3.ca/WikiLinks">WikiLinks</a>""" wikilink = re.compile(r'\[\[(?:[^|\]]*\|)?([^\]]+)\]\]') def linkify(match): wiki_root = 'https://z3.ca' wiki_name = match.group(1).rep...
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import sys def getArg(flag): """ Devolve o argumento de uma dada flag """ try: a = sys.argv[sys.argv.index(flag) + 1] except: return "" else: return a
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def get_band_params(meta, fmt='presto'): """ Returns (fmin, fmax, nchans) given a metadata dictionary loaded from a specific file format. """ if fmt == 'presto': fbot = meta['fbot'] nchans = meta['nchan'] ftop = fbot + nchans * meta['cbw'] fmin = min(fbot, ftop) ...
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import functools def logging(f): """Decorate a function to log its calls.""" @functools.wraps(f) def decorated(*args, **kwargs): sargs = map(str, args) skwargs = (f'{key}={value}' for key, value in kwargs.items()) print(f'{f.__name__}({", ".join([*sargs, *skwargs])})...') ...
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import math def calculate_distance(p1, p2): """ Calculate distance between two points param p1: tuple (x,y) point1 param p2: tuple (x,y) point2 return: distance between two points """ x1, y1 = p1 x2, y2 = p2 d = math.sqrt(pow(x2 - x1, 2) + pow(y2 - y1, 2)) return d
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from textwrap import dedent def package_load_instructions(inst_distributions): """Load instructions, displayed in the package notes""" per_package_inst = '' for dist in inst_distributions: if dist.type == 'zip': per_package_inst += dedent( """ # Loadi...
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def deindented_source(src): """De-indent source if all lines indented. This is necessary before parsing with ast.parse to avoid "unexpected indent" syntax errors if the function is not module-scope in its original implementation (e.g., staticmethods encapsulated in classes). Parameters -------...
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from pathlib import Path def maybe_start_with_home_prefix(p: Path) -> Path: """ If the input path starts with the home directory path string, then return a path that starts with the home directory and points to the same location. Otherwise, return the path unchanged. """ try: return Pa...
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import requests from datetime import datetime def get_time_string(place: str = "Europe/Moscow"): """ Get time data from worldtimeapi.org and return simple string Parameters ---------- place : str Location, i.e. 'Europe/Moscow'. Returns ------- string Time in format '%...
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def add_suffix(input_dict, suffix): """Add suffix to dict keys.""" return dict((k + suffix, v) for k,v in input_dict.items())
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import json from typing import OrderedDict def build_list_of_dicts(val): """ Converts a value that can be presented as a list of dict. In case top level item is not a list, it is wrapped with a list Valid values examples: - Valid dict: {"k": "v", "k2","v2"} - List of dict: [{"k": "v"...
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def arg(prevs, newarg): """ Joins arguments to list """ retval = prevs if not isinstance(retval, list): retval = [retval] return retval + [newarg]
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def hasTable(cur, table): """checks to make sure this sql database has a specific table""" cur.execute("SELECT name FROM sqlite_master WHERE type='table' AND name='table_name'") rows = cur.fetchall() if table in rows: return True else: return False
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import socket def getipbyhost(hostname): """ return the IP address for a hostname """ return socket.gethostbyname(hostname)
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import sys def reset_syspath(): """ Return a function to remove given path from sys.path. This is to use at the end (after all assertions) of test which use ``setup_project.setup_project`` to add base directory to sys.path and avoid clash with next tests doing the same. """ def reset_fun...
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import sys def valid_capture_area(top_left, bottom_right): """Check the capture area extents for sanity. """ tl_x = top_left['x'] tl_y = top_left['y'] br_x = bottom_right['x'] br_y = bottom_right['y'] if (br_x <= tl_x) or (br_y <= tl_y): print('The capture area ({},{}) ({},{}) ' ...
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def IsMultiPanel(hcuts, vcuts) -> bool: """ Check if the image is multi-panel or not. Could have more logic. """ return bool(hcuts or vcuts)
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def collapse_umi(cells): """ Input set of genotypes for each read Return list with one entry for each UMI, per cell barcode """ collapsed_data = {} for cell_barcode, umi_set in cells.items(): for _, genotypes in umi_set.items(): if len(set(genotypes)) > 1: pas...
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def is_vertex_cover(G, vertex_cover): """Determines whether the given set of vertices is a vertex cover of graph G. A vertex cover is a set of vertices such that each edge of the graph is incident with at least one vertex in the set. Parameters ---------- G : NetworkX graph The graph on...
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import os def __get_out_file(in_file, out_dir): """ Get the path of the output file. Parameters ---------- in_file: str Path to input file. out_dir: str Path to output directory. Returns ------- file_no_ext: str The file name without extension. out_di...
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def get_embedding_tids(tids, mapping): """Obtain token IDs based on our own tokenization, through the mapping to BERT tokens.""" mapped = [] for t in tids: mapped += mapping[t] return mapped
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import requests def extract_stream_url(ashx_url): """ Extract real stream url from tunein stream url """ r = requests.get(ashx_url) for l in r.text.splitlines(): if len(l) != 0: return l
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def none_to_null(value): """ Returns None if the specified value is null, else returns the value """ return "null" if value == None else value
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def get_dsd_url(): """Returns the remote URL to the global SDMX DSD for the SDGs.""" return 'https://registry.sdmx.org/ws/public/sdmxapi/rest/datastructure/IAEG-SDGs/SDG/latest/?format=sdmx-2.1&detail=full&references=children'
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def cal_pivot(n_losses,network_block_num): """ Calculate the inserted layer for additional loss """ num_segments = n_losses + 1 num_block_per_segment = (network_block_num // num_segments) + 1 pivot_set = [] for i in range(num_segments - 1): pivot_set.append(min(num_block_per_se...
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import numpy as np def uniquePandasIndexMapping(inputColumn): """quickly mapps the unique name entries back to input entries Keyword arguments: inputDataToAssess -- a SINGLE column from a pandas dataframe, presumably with duplications. Will create a frequency table and a mapping back to the sou...
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def is_text_serializer(serializer): """Checks whether a serializer generates text or binary.""" return isinstance(serializer.dumps({}), str)
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def Transition_rep(source_State_name, target_State_name): """Representation of a transition :param source_State_name: The sequence of "name" values of State objects referred to by attribute "source" in this Transition :type source_State_name: Array :param target_State_name: The sequence of "name" value...
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import glob import os import ast def list_class_names(dir_path): """ Return the mapping of class names in all files in dir_path to their file path. Args: dir_path (str): absolute path of the folder. Returns: dict: mapping from the class names in all python files in the fo...
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def chunks(l, k): """ Take a list, l, and create k sublists. """ n = len(l) return [l[i * (n // k) + min(i, n % k):(i+1) * (n // k) + min(i+1, n % k)] for i in range(k)]
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import math def floor(base): """Get the floor of a number""" return math.floor(float(base))
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import random def random_binary(): """ 测试 cached 缓存视图的装饰器 设置 key :return: """ return [random.randrange(0, 2) for i in range(500)]
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def remove_from_end(string, text_to_remove): """ Remove a String from the end of a string if it exists Args: string (str): string to edit text_to_remove (str): the text to remove Returns: the string with the text removed """ if string is not None and string.endswith(text_to_rem...
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def _variable_map_by_name(variables): """ Returns Dict,representing referenced variable fields mapped by name. Keyword Parameters: variables -- list of 'variable_python_type' Warehouse support DTOs >>> from pprint import pprint >>> var1 = { 'column':'frob_hz', 'title':'Frobniz Resonance (Hz)'...
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def ObjectNotFoundError(NDARError): """S3 object not found""" def __init__(self, object): self.object = object return def __str__(self): return 'Object not found: %s' % self.object
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def read_length(file_obj): # pragma: no cover """ Numpy trick to get a 32-bit length from four bytes Equivalent to struct.unpack('<i'), but suitable for numba-jit """ sub = file_obj.read(4) return sub[0] + sub[1]*256 + sub[2]*256*256 + sub[3]*256*256*256
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from typing import List def readOneLineFileWithCommas(filepath: str) -> List[str]: """ Reads a file that is one line long, separated by commas """ try: with open(filepath) as fp: s: str = fp.readline() return s.split(",") except: raise Exception(f"Failed to open {filepath}...
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def check_canopy_height(region_info, regional_lookup): """ Check the regional canopy height. """ mean_canopy_height = region_info['mean_canopy_height'] if mean_canopy_height == 'no data': mean_canopy_height = 0 return mean_canopy_height
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def build_dict_conforming_to_schema(schema, **kwargs): """ Given a schema object (for example, TIMESTAMP_SCHEMA from this module) and a set of keyword arguments, create a dictionary that conforms to the given schema, using the keyword arguments to define the elements of the new dict. Checks the result to mak...
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def make_09f9(): """倉庫インベントリーフッタ""" return ""
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def empty_call_false(*args, **kwargs) -> bool: """ Do nothing and return False """ return False
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def cookie_is_encoded(data): """ Tests whether or not a cookie is encoded / HMAC signed -> #bool True if encoded .. from vital.security import cookie_is_encoded cookie_is_encoded( "!YuOoKwDp8GhrwwojdjTxSCj1c2Z+7yz7r6cC7E3hBWo=?IkhlbGxvLCB3b3JsZC4i") ...
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def _id_to_box(id_, dim): """Convert id to box ID""" row = id_ // (dim ** 3) col = (id_ % (dim ** 2)) // dim return row * dim + col
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import os def create_readme(top_dir,package_name,description="",docs=False): """ README requires the name of the package and the directory in which to write the file in. Optionally, give a description and whether or not to create a 'docs' directory. """ readme_str=""" # {package} ## Descript...
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def estimate_responsivity(mis_MU, norm_MU): """from the estimated base intensities, we return onlu users which have zero base intensity for misinformation and greater than zero base intensity for normal content. """ no_bad_intentions_ids = [] for id in range(len(mis_MU)): if mis_MU[id] == 0 and...
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def compute_embeddings(image): """A mock function for a call to a deep learning model or a web service.""" del image # this is just a mock and doesn't do anything with the input return 42
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def text_to_string(filename): """Read a text file and return a string.""" with open(filename) as infile: return infile.read()
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def lgsvlToScenicElevation(pos): """Convert LGSVL positions to Scenic elevations.""" return pos.y
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def false_discovery(alpha,beta,rho): """The false discovery rate. The false discovery rate is the probability that an observed edge is incorrectly identified, namely that is doesn't exist in the 'true' network. This is one measure of how reliable the results are. Parameters ---------- ...
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import re def eval_formula(formula, assignment): """ Evaluates a formula represented as a string. **Attention**: Be extremely careful about what to pass to this function. All parameters are plugged into the formula and evaluated using `eval()` which executes arbitrary python code. Parameters ...
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import json def case_structure_generator(path): """Create test cases from reference data files.""" with open(str(path), 'r') as in_f: case_data = json.load(in_f) system_dict = case_data['namelists']['SYSTEM'] ibrav = system_dict['ibrav'] ins = {'ibrav': ibrav, 'cell': case_data['cell']} ...
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import psutil def available_memory(): """ Returns total system wide available memory in bytes """ return psutil.virtual_memory().available
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import math def ceil(base): """Get the ceil of a number""" return math.ceil(float(base))
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def get_attr_counts(datas, attr): """ 不同属性值的数量. :param datas: :type datas: list[BaseDataSample] :param attr: :type attr: str :return: """ results = {} for data in datas: value = data.get_value(attr) if isinstance(value, list): for v in value: ...
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def split(string: str, separator: str = " ") -> list: """ Will split the string up into all the values separated by the separator (defaults to spaces) >>> split("apple#banana#cherry#orange",separator='#') ['apple', 'banana', 'cherry', 'orange'] >>> split("Hello there") ['Hello', 'there...
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import torch def _find_quantized_op_num(model, white_list, op_count=0): """This is a helper function for `_fallback_quantizable_ops_recursively` Args: model (object): input model white_list (list): list of quantizable op types in pytorch op_count (int, optional): count the quantizable...
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def list_to_string(the_list): """Converts list into one string.""" strings_of_list_items = [str(i) + ", " for i in the_list] the_string = "".join(strings_of_list_items) return the_string
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def _split_header_params(s): """Split header parameters.""" result = [] while s[:1] == b';': s = s[1:] end = s.find(b';') while end > 0 and s.count(b'"', 0, end) % 2: end = s.find(b';', end + 1) if end < 0: end = len(s) f = s[:end] resu...
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def countDigits(string): """return number of digits in a string (Helper for countHaveTenDigits)""" count = 0 for char in string: if char == '0' or char == '1' or char == '2' or char == '3' or char == '4' or \ char == '5' or char == '6' or char == '7' or char == '8' or char == '9': ...
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def jsonDateTimeHandler(obj): """Takes an object and tries to serialize it in JSON by using strftime or isoformat.""" if hasattr(obj, "strftime"): # To avoid problems with the js date-time format return obj.strftime("%a %b %d, %Y %I:%M %p") elif hasattr(obj, 'isoformat'): return ...
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def name(ndims=2, ndepth=2): """ encrypt n and version into a standardized string """ # Model name, depth and version value = 'care_denoise_%dDdepth%d' % (ndims, ndepth) return value
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import re def run_job(answer: str, job: dict, grade: float, feedback: str): """ Match answer to regex inside job dictionary. Add weight to grade if successful, else add comment to feedback. :param answer: Answer. :param job: Dictionary with regex, weight, and comment. :param grade: Current gr...
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def timefstring(dtobj, tz_name=True): """Standardize the format used for timestamp string format. Include 3 letter string for timezone if set to True. """ if tz_name: return f'{dtobj.strftime("%Y-%m-%d_%H:%M:%S%Z")}' else: return f'{dtobj.strftime("%Y-%m-%d_%H:%M:%S")}NTZ'
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def supported_coins_balance(balance, tickers): """ Return the balance with non-supported coins removed """ supported_coins_balance = {} for coin in balance.keys(): if coin != "BTC": if f"{coin}/BTC" in tickers: supported_coins_balance[coin] = balance[coin] ...
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def _identity_map(size): """Function returning list of lambdas mapping vector to itself.""" return [lambda x, id: x[id] for _ in range(size)]
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def center_vertices(vertices, faces, flip_y=True): """ Centroid-align vertices. Args: vertices (V x 3): Vertices. faces (F x 3): Faces. flip_y (bool): If True, flips y verts to keep with image coordinates convention. Returns: vertices, faces """ vertices = verti...
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def get_bridge_interfaces(yaml): """Returns a list of all interfaces that are bridgedomain members""" ret = [] if not "bridgedomains" in yaml: return ret for _ifname, iface in yaml["bridgedomains"].items(): if "interfaces" in iface: ret.extend(iface["interfaces"]) retu...
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def _gen_sieve_array(M, factor_base): """Sieve Stage of the Quadratic Sieve. For every prime in the factor_base that doesn't divide the coefficient `a` we add log_p over the sieve_array such that ``-M <= soln1 + i*p <= M`` and ``-M <= soln2 + i*p <= M`` where `i` is an integer. When p = 2 then log_p i...
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def getObjDetRoI(imgSize, imgPatchSize, objx1, objy1, objx2, objy2): """ Get region of interest (ROI) for a given object detection with respect to image and image patch boundaries. :param imgSize: size of the image of interest (e.g., [1920x1080]). :param imgPatchSize: Patch size of the image patch of in...
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def get_solubility(molecular_weight, density): """ Estimate the solubility of each oil pseudo-component Estimate the solubility (mol/L) of each oil pseudo-component using the method from Huibers and Lehr given in the huibers_lehr.py module of py_gnome in the directory gnome/utilities/weathering...
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import torch def cal_head_bbox(kps, image_size): """ Args: kps (torch.Tensor): (N, 19, 2) image_size (int): Returns: bbox (torch.Tensor): (N, 4) """ NECK_IDS = 12 # in cocoplus kps = (kps + 1) / 2.0 necks = kps[:, NECK_IDS, 0] zeros = torch.zeros_like(necks)...
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def _process_input(data, context): """ pre-process request input before it is sent to TensorFlow Serving REST API Args: data (obj): the request data, in format of dict or string context (Context): object containing request and configuration details Returns: (dict): a JSON-ser...
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def remove_duplicates(iterable): """Removes duplicates of an iterable without meddling with the order""" seen = set() seen_add = seen.add # for efficiency, local variable avoids check of binds return [x for x in iterable if not (x in seen or seen_add(x))]
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def _orbit_bbox(partitions): """ Takes a granule's partitions 'partitions' and returns the bounding box containing all of them. Bounding box is ll, ur format [[lon, lat], [lon, lat]]. """ lon_min = partitions[0]['lon_min'] lat_min = partitions[0]['lat_min'] lon_max = partitions[0]['lon_m...
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def db_to_dict(s_str, i = 0, d = {}): """ Converts a dotbracket string to a dictionary of indices and their pairs Args: s_str -- str: secondary_structure in dotbracket notation KWargs: i -- int: start index d -- dict<index1, index2>: the dictionary so far Returns: dictio...
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from typing import Any from typing import List def is_generic_list(annotation: Any): """Checks if ANNOTATION is List[...].""" # python<3.7 reports List in __origin__, while python>=3.7 reports list return getattr(annotation, '__origin__', None) in (List, list)
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from pathlib import Path def create_folder(base_path: Path, directory: str, rtn_path=False): """ Recursive directory creation function. Like mkdir(), but makes all intermediate-level directories needed to contain the leaf directory Parameters ----------- base_path : pathlib.PosixPath Glob...
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