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<reponame>Melimet/DAP2020 #!/usr/bin/python3 import unittest from tmc import points from tmc.utils import load, get_out coefficient_of_determination = load('src.coefficient_of_determination', 'coefficient_of_determination') class CoefficientOfDetermination(unittest.TestCase): @points('p05-12.1') def test...
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<reponame>ASMlover/study #!/usr/bin/env python # -*- coding: UTF-8 -*- # # Copyright (c) 2020 ASMlover. All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions # are met: # # * Redistributions of source code must r...
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from sports.nba.nba_team import NBA_Team class PhoenixSuns(NBA_Team): """ NBA Golden State Warriors Static Information """ full_name = "<NAME>" name = "Suns" team_id = 1610612756 def __init__(self): """ """ super().__init__()
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class OperatorUtils(): @classmethod def apply_assignment_op(cls, left, op, right): if op == "=": return right elif op == "*=": return left * right elif op == "/=": return left / right elif op == "%=": return left % right eli...
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"""Rational quadratic kernel.""" from typing import Optional import numpy as np import probnum.utils as _utils from probnum.typing import IntArgType, ScalarArgType from ._kernel import IsotropicMixin, Kernel class RatQuad(Kernel, IsotropicMixin): r"""Rational quadratic kernel. Covariance function defined...
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<filename>conekt/flask_blast/__init__.py from .blast import BlastThread
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# Generated by Django 3.0.4 on 2021-03-07 01:30 from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('api', '0013_auto_20210307_0125'), ] operations = [ migrations.AddField( ...
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<filename>src/python_module_setup.py from distutils.core import setup, Extension import os #os.environ['USE_CUDA'] = '1' #os.environ['USE_BLAS'] = '1' #os.environ['USE_OPENMP'] = '1' cuda_obj = [] cuda_extra = [] cuda_include = [] cuda_macro = [(None, None)] blas_obj = [] blas_extra = [] blas_include = [] blas_macr...
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#!/usr/bin/env python # -*- coding: utf-8 -*- """ 将Omicron中与性能相关比较密切的函数抽取到这个模块。以便将来进行加速。 TODO: 部分函数之前已使用numba加速,但因numba与OS的兼容性问题取消。需要随时保持跟踪。 """ import logging import numpy as np from deprecated import deprecated logger = logging.getLogger(__name__) @deprecated(version="1.1") def index(arr, item): # pragma: no co...
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<gh_stars>10-100 """Algorithms for STRIPS learning that start from the most general operators, then specialize them based on the data.""" import itertools from typing import Dict, List, Set from predicators.src import utils from predicators.src.nsrt_learning.strips_learning import BaseSTRIPSLearner from predicators.s...
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from PIL import Image from PIL import ImageFilter import utils.logger as logger #from utils.rotate import rotate from config import * from typing import Tuple, List import sys i = 0 def crop_image(image, area:Tuple) -> object: ''' Uses PIL to crop an image, given its area. Input: image - PIL opened image Area - C...
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#Exercício Python 012: Faça um algoritmo que leia o preço de um produto e mostre seu novo preço, com 5% de desconto. price = float(input('Enter product price: ')) discount = price * 0.05 new_price = price - discount print('New product price is: %.2f' %new_price)
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<filename>src/fnc/sequences.py<gh_stars>100-1000 """ Functions that operate on sequences. Most of these functions return generators so that they will be more efficient at processing large datasets. All generator functions will have a ``Yields`` section in their docstring to easily identify them as generators. Otherwis...
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from ttracker.model.items.match import MatchResult class Player: def __init__(self, content): self.user_id = content['userId'] self.player_name = content['playerName'] self.system_seat_id = content['systemSeatId'] self.team_id = content['teamId'] def __repr__(self): r...
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from tracker.app import app as application
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<gh_stars>0 import vk_api import datetime import colorama from colorama import Fore colorama.init() editnumber = [('0', '0⃣'), ('1', '1⃣'), ('2', '2⃣'), ('3', '3⃣'), ('4', '4⃣'), ('5', '5⃣'), ('6', '6⃣'), ('7', '7⃣'), ('8', '8⃣'), ('9', '9⃣')] ballnumber = [('0', ''), ('1', '❶'), ('2', '❷'), ('3', '❸'), ('4', '❹'), ('...
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<filename>LiveFeedback/CentralLinePhantom1.py import os import keras import sys import time import numpy as np from keras.models import Sequential from keras.layers import Activation, GlobalAveragePooling2D from keras.layers.core import Dense, Dropout, Flatten from keras.optimizers import Adam, SGD from keras.metrics ...
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<reponame>shiburizu/concerto-direct #core from winpty import PtyProcess #pywinpty import os, sys, time, re, threading, logging from functools import partial from datetime import datetime logging.basicConfig(filename='concerto.log', encoding='utf-8', level=logging.DEBUG) # Pyinstaller path helper def resource_pat...
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import datetime import typing from typing_extensions import TypeGuard from .. import spec from .. import exceptions from . import timelength_units def detect_timelength_representation( timelength: spec.Timelength, ) -> spec.TimelengthRepresentation: """return str name of Timelength representation""" if ...
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<filename>openprescribing/pipeline/management/commands/org_codes.py from io import BytesIO import requests from zipfile import ZipFile import datetime import os from django.conf import settings from django.core.management import BaseCommand """Practice and CCG metadata, keyed by code. Similar data, pertaining to spe...
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<reponame>tonnkie/USC-Second-hand-Group # coding:utf-8 import re def emoji_print(rawstring): flag = True while flag: start = rawstring.find('<span') end = rawstring.find('></span>') if start < 0 or end < 0: flag = False break emojistr = rawstring[start :...
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<filename>run.py import itertools import json import random import sys import time import networkx as nx import eon if hasattr(time, 'process_time_ns'): process_time = time.process_time_ns else: process_time = time.process_time def run(algorithm, seed, weight='distance', log=1): if algorithm == 'filtere...
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#!/usr/bin/python # -*- coding: utf-8 -*- # This example demonstrates the use of Convolution1D for text classification. # 利用1D-CNN模型对IMDB影评倾向分类 # Output after 5 epochs on CPU(i5-7500)/GPU(1050Ti): ~0.8773 from keras.preprocessing import sequence from keras.models import Sequential from keras.layers import Dense, Drop...
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from sko.GA import GA def demo_func(x): x1, x2, x3 = x return x1 ** 2 + (x2 - 0.05) ** 2 + x3 ** 2 ga = GA(func=demo_func, lb=[-1, -10, -5], ub=[2, 10, 2], max_iter=500) best_x, best_y = ga.fit()
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from datetime import time import time as t from heatmiserV3.devices import Master, Device from heatmiserV3.config import Config import logging import logging.config from heatmiserV3.protocol_manager import ProtocolManager def main(): log_config = Config.LOG_CONFIG logging.config.dictConfig(log_...
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<reponame>cyphermaster/beholder #!/usr/bin/python2.7 # -*- coding: utf8 -*- """ Copyright [2014,2015] [beholder developers] Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.or...
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<gh_stars>0 a,b = map(int, input().split()) if (b % a == 0) or (a % b == 0): print("Sao Multiplos") else: print("Nao sao Multiplos")
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<reponame>Elec5616/prophessor<filename>phabricator/api.py import subprocess import json from local_settings import PHAB_API_ADDRESS, PHAB_API_TOKEN phab_api_templates = { "remove_user_from_project": { "method": "project.edit", "data": "api.token=" + PHAB_API_TOKEN + "&transactions[0][type]=members....
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<filename>tests/conftest.py from asyncio import get_event_loop import pytest @pytest.fixture def event_loop(): return get_event_loop()
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<reponame>agaldemas/ngsi-timeseries-api """ Data structures and operations to manage work queues. Notice these data structures and operations abstract away the underlying RQ implementation so clients don't have to depend on the RQ API. """ from enum import Enum from typing import Callable, Iterable, List, Optional fro...
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#!/usr/bin/env python3 import os import pathlib import re import subprocess import sys from typing import List def main(): os.chdir(str(get_toplevel_dir())) check_unstaged_changes() files = get_tracked_files() check_go_source(files) make('build') make('test') make('test-large') def che...
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<filename>dynn/activations.py #!/usr/bin/env python3 """ Activation functions ==================== Common activation functions for neural networks. Most of those are wrappers around standard dynet operations (eg. ``rectify`` -> ``relu``) """ import dynet as dy def identity(x): """The identity function :ma...
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<gh_stars>0 # Promote all symbols from submodules to the top-level package (TODO is this bad practice?) from .api import * from .core import * from .kubernetes import * from .settings import * from .slo import *
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# -*- coding: utf-8 -*- from scipy import sparse as spspa from scipy.sparse import linalg as spspalinalg from time import time from root.config.main import cOmm, rAnk, mAster_rank from tools.linear_algebra.data_structures.global_matrix.main import LocallyFullVector def ___scipy_sparse_linalg_v0___(A, b, COD=None): ...
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# Generated with Iteration # from enum import Enum from enum import auto class Iteration(Enum): """""" COLUMN = auto() GRID = auto() def label(self): if self == Iteration.COLUMN: return "Column" if self == Iteration.GRID: return "Grid"
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from rdflib import XSD, Literal class TestTokenDatatype: def test1(self): lit2 = Literal("\two\nw", datatype=XSD.normalizedString) lit = Literal("\two\nw", datatype=XSD.string) assert str(lit) != str(lit2) def test2(self): lit = Literal("\tBeing a Doctor Is\n\ta Full-Time J...
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# coding: utf-8 __author__ = 'cleardusk' import sys sys.path.append('..') import cv2 import numpy as np import os.path as osp from Sim3DR import rasterize, rasterize_adv from _3DDFA_V2.utils.functions import plot_image from _3DDFA_V2.utils.io import _load, _dump from _3DDFA_V2.utils.tddfa_util import _to_ctype ma...
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# This algorithm search the way to move disk from one tower to another with just one rule. # You can't put a big disk over a small one. # # Input: height, initTower, middleTower, finalTower # Output: initTower, middleTower, finalTower # we put this to prove we sent from the initTower to the finalTower every disk def...
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<filename>src/local_run.py __author__ = 'david' from davesite.app.factory import create_app app = create_app() app.run("", 8080)
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<reponame>kingformatty/E2E-NLG-Project import os import logging import numpy as np import torch import torch.nn as nn from components.utils.visualize import plot_train_progress, plot_lcurve from components.data.common import cuda_if_gpu from torch.autograd import Variable from components.trainer import BaseTrainer lo...
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<gh_stars>0 from urllib import request class Request: def __init__(self, url): self.url = url class Client: def __init__(self, req): self.req = req def get(self): source = request.urlopen(self.req.url) data = source.read() return data
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<gh_stars>0 import os from setuptools import setup import crudbuilder # Allow setup.py to be run from any path os.chdir(os.path.normpath(os.path.join(os.path.abspath(__file__), os.pardir))) def read(fname): return open(os.path.join(os.path.dirname(__file__), fname)).read() setup( name='django-crudbuilder',...
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import sys, configparser from math import floor from fractions import Fraction from .matrixOp import frange from collections import OrderedDict # NOTE File path starts where main.py executes config = configparser.ConfigParser() filePath = 'config.ini' # Reads config file and returns variables # TODO enforce input ty...
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import numpy as np import matplotlib.pyplot as plt import pandas as pd from context import bbfsa #read csv file spectra = pd.read_csv('./tests/workflow/input/700cow.csv', delimiter=',', names= ['wn', 'ab']) # cristallinity index s = bbfsa.slice(spectra,700,400) #slice for baseline b = bbfsa.baseline(s) #baseline ...
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from machine import Pin import utime button = Pin(16, Pin.IN, Pin.PULL_UP) while True: b1 = button.value() if not b1: print('Button pressed!') utime.sleep(0.5)
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<gh_stars>0 from __future__ import absolute_import import six from sentry.utils.safe import get_path, trim from sentry.utils.strings import truncatechars from .base import BaseEvent def get_crash_location(exception, platform=None): default = None for frame in reversed(get_path(exception, 'stacktrace', 'fra...
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<reponame>cgarciae/tf-interface #!/usr/bin/env python # -*- coding: utf-8 -*- # __coconut_hash__ = 0xaa0f5a8b # Compiled with Coconut version 1.2.3-post_dev1 [Colonel] # Coconut Header: -------------------------------------------------------- from __future__ import print_function, absolute_import, unicode_literals, ...
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# Licensed Materials - Property of IBM # Copyright IBM Corp. 2017 import unittest import sys import itertools import time import os from streamsx.topology.topology import * from streamsx.topology.tester import Tester from streamsx.topology import schema import streamsx.topology.context import streamsx.spl.op as op c...
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<filename>server/athenian/api/models/web/pull_request_event.py from athenian.api.models.web.base_model_ import Enum, Model class PullRequestEvent(Model, metaclass=Enum): """PR's modelled lifecycle events.""" CREATED = "created" COMMITTED = "committed" REVIEW_REQUESTED = "review_requested" REVIEWE...
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<reponame>tao-shen/FedGraph import torch.nn as nn from dgl.nn.pytorch import GraphConv import torch.nn.functional as F import dgl.function as f class MLP(nn.Module): def __init__(self, in_feats, n_hidden, num_classes, n_layers, dropout): super(MLP, self).__init__() self.activation = F.relu ...
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<reponame>fengjixuchui/androguard import hashlib import os import sys import collections from androguard.core.analysis.analysis import Analysis from androguard.core.bytecodes.dvm import DalvikVMFormat, DalvikOdexVMFormat from androguard.core.bytecodes.apk import APK from androguard.decompiler.decompiler import Decompil...
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<gh_stars>100-1000 from __future__ import absolute_import import logging import numpy as np from .import utils from .import sampling from sklearn.preprocessing import MultiLabelBinarizer, LabelBinarizer from sklearn.model_selection import StratifiedShuffleSplit logger = logging.getLogger(__name__) class Dataset(...
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# -*- coding: utf-8 -*- from six import text_type from typing import Union from zerver.lib.test_classes import WebhookTestCase class BitbucketHookTests(WebhookTestCase): STREAM_NAME = 'bitbucket' URL_TEMPLATE = "/api/v1/external/bitbucket?payload={payload}&stream={stream}" FIXTURE_DIR_NAME = 'bitbucket' ...
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<gh_stars>1-10 import logging logging.basicConfig(filename='test_deleteme.log', filemode='w', level=logging.DEBUG) """ Acquire data for training a Machine-Learning algorithm """ import pandas as pd from .ArXivTrainingData import ArXivTrainingData from .CrossRefTrainingData import CrossRefTrainingData from ....
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# Generated by Django 3.2.4 on 2021-08-12 23:50 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('museum_site', '0066_rename_patron_level_profile_patronage'), ] operations = [ migrations.AlterField( model_name='profile', ...
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# Generated by Django 3.1.2 on 2020-11-04 08:54 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('bills', '0007_auto_20201104_0251'), ] operations = [ migrations.AddField( model_name='storeunion', name='is_credit_u...
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<filename>src/sage/rings/padics/padic_extension_leaves.py """ p-Adic Extension Leaves The final classes for extensions of Zp and Qp (ie classes that are not just designed to be inherited from). AUTHORS: - <NAME> """ #***************************************************************************** # Copyright (C)...
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<filename>test/integration/ggrc/converters/test_import_assessment_templates.py # Copyright (C) 2019 Google Inc. # Licensed under http://www.apache.org/licenses/LICENSE-2.0 <see LICENSE file> # pylint: disable=maybe-no-member """Test Assessment Template import.""" from collections import OrderedDict from ggrc import ...
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<reponame>Minkov/python-oop-2021-02<filename>interators_generators/iterators.py ll = [1, 2, 3, 4, 5] for x in ll: print(x) print([[x + 1] for x in ll]) ll_iter_1 = iter(ll) ll_iter_2 = iter(ll) print(ll_iter_1) # print(f'Iter1: {next(ll_iter_1)}') # print(f'Iter1: {next(ll_iter_1)}') # print(f'Iter1:...
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<reponame>SilvaneiMartins/api_user_python_flask from flask.json import JSONEncoder class USERS(object): new_id = 1 def __init__(self, name, email, password): self.name = name self.email = email self.password = password self.id = USERS.new_id USERS.new_id += 1 class U...
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#!/usr/bin/env python3 import argparse as arp import os import sys ##### PARSING COMMAND LINE ARGUMENTS ##### prs = arp.ArgumentParser() prs.add_argument('sp_data_path', type = str, help = 'path of spatial data') prs.add_argument('cuda_device', type = str, help = "index of cuda device ID or cpu") prs.add_argument('...
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from auto_yolo import envs readme = "Testing air variational autoencoder with math." distributions = None durations = dict() n_digits = 2 largest_digit = n_digits * 9 n_classes = largest_digit + 1 config = dict( n_train=16000, min_digits=n_digits, max_digits=n_digits, max_time_steps=n_digits, run_all_time_...
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"""Handles for Broden-like datasets. The original Broad and Densely Labeled Dataset (Broden_) was introduced in [Bau2017]_ as a combination of several existing semantic segmentation and classification datasets on overlapping image sets. For more details on Broden and its encoding see :py:class:`BrodenHandle`. .. note:...
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<reponame>ceshine/pytorch-helper-bot """ Finetuning BERT using DeepSpeed's ZeRO-Offload """ import json import dataclasses from pathlib import Path from functools import partial import nlp import torch import typer import deepspeed import numpy as np from transformers import BertTokenizerFast from transformers import ...
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#!/usr/bin/env python # Author: <NAME> # License: Open Source based, so open source distribution. import sys import pdfkit from barcode import Code128 from barcode.writer import ImageWriter BARCODE_OPTIONS = { 'font_size': 12, 'text_distance': 2.0 } PDF_OPTIONS = { 'page-size': 'A4', 'margin-top': '0....
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<reponame>mindsolve/pySymProxy import logging import logging.config import logging.handlers import json import os def findConfigFile(candidates): for location in candidates: if os.path.isfile(location): return location return candidates[-1] def findConfigValue(rootDict, name, required = Fa...
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from django.contrib import admin from django.urls import path, include urlpatterns = [ path('', include('frontend.urls')), # home page react path('', include('leads.urls')), # leads page api path('', include('accounts.urls')), # accounts page api ]
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import os import nbformat from textwrap import dedent from .preprocessor import Preprocessor from ..utils import ( is_grade, is_solution, is_description, get_task_info, get_valid_name, get_points) class AddTaskHeader(Preprocessor): def get_header(self, idx, points): header = nbformat.v4.new_ma...
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<gh_stars>0 from numba.core import dispatcher, compiler from numba.core.registry import cpu_target, dispatcher_registry import numba_dppy.config as dppy_config class DpplOffloadDispatcher(dispatcher.Dispatcher): targetdescr = cpu_target def __init__(self, py_func, locals={}, targetoptions={}, impl_kind='dire...
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<reponame>jerinka/Redis_OpenCV import redis import cv2 import numpy as np import time import io import uuid r = redis.StrictRedis.from_url('redis://') img_path ="redis.png" uid = str(uuid.uuid1()) img1 = cv2.imread(img_path, 1) retval, buffer = cv2.imencode('.png', img1,[cv2.IMWRITE_PNG_COMPRESSION, 0]) img1_bytes =...
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<gh_stars>1-10 import os import numpy as np from taskinit import tb def cpxx2yy(tb_in=[]): if not tb_in: print('tb_in not provided. Abort...') if type(tb_in) is str: tb_in = [tb_in] tb.open(tb_in[0] + '/SPECTRAL_WINDOW', nomodify=False) nspw = tb.nrows() tb.close() for ctb in tb...
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<reponame>mrTavas/owasp-fstm-auto import sys import logging import os import json import binascii from pwn import * import random # Unicorn imports # require unicorn moudle from unicorn import * from unicorn.arm_const import * from unicorn.arm64_const import * from unicorn.x86_const import * from unicorn.mips_const...
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from django import forms class PlaceholderForm(forms.Form): """ A base form for automatically adding placeholder text. Forms that extend this form will by default have all text, password, and date input widgets display placeholder text equal to their label. This can be overridden per form field b...
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## bisenetv2 cfg = dict( model_type='bisenetv2', num_aux_heads=4, lr_start = 5e-2, weight_decay=5e-4, warmup_iters = 1000, max_iter = 150000, im_root='./datasets/coco', train_im_anns='./datasets/coco/train.txt', val_im_anns='./datasets/coco/val.txt', scales=[0.5, 1.5], crops...
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from django.conf.urls import url from project import views urlpatterns = [ url(r'^urlinfo/', views.urlinfo), url(r'^urlinfoselect/', views.urlinfoselect), url(r'^baseinfo/', views.baseinfo), url(r'^getproname/', views.getproname), url(r'^getmodelname/', views.getmodelname), ]
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import argparse import asyncio import logging from pathlib import Path from dvdp.ha_433 import HA433Light from dvdp.recorder_433 import RECORDINGS_DIR, get_recordings from dvdp.ha_mqtt.client import MQTTClient def main(): logging.basicConfig( format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',...
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<filename>deprecated/db_functions.py # This script stores common database operations import sys import MySQLdb global DEBUG DEBUG = 1 global c, conn conn = MySQLdb.connect(host="localhost", \ user="root", \ passwd="<PASSWORD>", \ db='twins') # use c...
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import gym import tensorflow as tf from rl.agent import util class A3CModel(tf.keras.Model): def __init__(self, env): super().__init__() self.action_is_continuous, self.action_size, self.action_low, self.action_high = util.parse_env( env ) # Policy (actor) layer ...
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<filename>src/umassstembot/coronavirus.py from bs4 import BeautifulSoup import overlay as over import dateutil.parser import dateutil.utils import discord import requests import os import tempfile FINNHUB_CORONA_TOKEN = os.environ.get('FINNHUB_API_TOKEN_5') us_areas = {'AL': ['Alabama', '4903185'], 'AK': ...
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<reponame>bogdanvuk/pygears from pygears import alternative, TypeMatchError, gear from pygears.typing import Union from pygears.lib import fmap as common_fmap from pygears.lib.mux import mux from pygears.lib.demux import demux_ctrl from pygears.lib.ccat import ccat from pygears.lib.shred import shred def unionmap_che...
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# from django.db.models.signals import post_save # from django.dispatch import receiver # from onadata.apps.logger.models import XForm # # from onadata.apps.fsforms.models import FieldSightXF # # # @receiver(post_save, sender=XForm) # def save_to_fieldsight_form(sender, instance, **kwargs): # FieldSightXF.objects.c...
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from django.conf.urls.defaults import * urlpatterns = patterns('', url(r'^(?P<year>\d{4})/(?P<month>[a-z]{3})/(?P<day>\w{1,2})/(?P<object_id>\d+)/$', view = 'basic.bookmarks.views.bookmark_detail', name = 'bookmark_detail', ), url(r'^(?P<year>\d{4})/(?P<month>[a-z]{3})/(?P<day>\w{1,2})/$', vie...
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<reponame>ufkapano/planegeometry #!/usr/bin/python import unittest from fractions import Fraction from planegeometry.structures.points import Point from planegeometry.structures.segments import Segment from planegeometry.algorithms.bentleyottmann2 import BentleyOttmann class TestBentleyOttmann(unittest.TestCase): ...
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import os from contextlib import contextmanager @contextmanager def cwd(path): old_path = os.getcwd() os.chdir(path() if callable(path) else path) try: yield finally: os.chdir(old_path) def in_dir(path): def decorator(fn): def wrapper(*args, **kwargs): with cw...
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import random # because we'll need this ha, ha, ha # the vocabulary could just be a single list but I've organized more-or-less # in case I want to try a few grammaticaly rules later: people = [ '<NAME>', '<NAME>', '<NAME>', '<NAME>', '<NAME>', '<NAME>', '<NAME>', 'Jaybez', '...
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<gh_stars>0 import numpy.testing as npt from numpy import (absolute, all, arange, array, cos, linspace, log, sin) from ..nearshockapproximator import (NearShockApproximator, NearShockFifthOrderApproximator) class TestNearShockApproximator: def test__two_points_away_from_shoc...
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# This file is Copyright 2009, 2010 <NAME>. # # This file is part of the Python-on-a-Chip program. # Python-on-a-Chip is free software: you can redistribute it and/or modify # it under the terms of the GNU LESSER GENERAL PUBLIC LICENSE Version 2.1. # # Python-on-a-Chip is distributed in the hope that it will be useful...
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from mldp.steps.transformers.base_transformer import BaseTransformer from mldp.utils.helpers.validation import validate_field_names from mldp.utils.helpers.nlp.sequences import compute_windows from mldp.steps.transformers.nlp.helpers import create_new_field_name from mlutils.helpers.general import listify import numpy ...
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# -*- coding: utf-8 -*- """ Created on Thu Mar 31 12:44:45 2022 @author: Danie DEPRICATED FILE DO NOT USE Old biolerplate work for when stage 3 classification was just going to be selecting a set of representative points create by ModelsA B and C. Has terrible accuracy and should absolutley not be used. """ import...
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<gh_stars>1-10 from . import node import json import copy class Edge : """ Edge ====== A simple edge, embedding a `id_a`, a `id_b` and a `modality`. """ def __init__(self, id_edge: str, a: node.Node, b: node.Node, modality: str = "1", directed: bool = False): """ Nodes are given instead of just t...
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<reponame>objectnf/training-code<filename>Lead-to-New-Language/Python/tool - pyinstaller/basic - syntaxSugar01.py a = 10; b = 5 # 单行定义多个变量 c = [a, b][a < b] # 将a、b中的小值赋值给c # 若 a < b 为 True, 取 [a, b][1]; 若 a < b 为 False, 取 [a, b][0] print("c = " + str(c)) # 也可以写成如下形式: c = a if a < b else b del c # 清除变量 s...
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from basetestcase import FormTestCase from _test_app.forms import MyForm, MyBaseFormSet, MyFormSet from _test_app.models import MyModel class FormTestCaseTest(FormTestCase): def form(self, *args, **kwargs): form = MyForm(*args, **kwargs) return form def test_field_rendered(self...
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<filename>run.py<gh_stars>1-10 from kernel_matrix_benchmarks.main import main from multiprocessing import freeze_support if __name__ == "__main__": # Freeze_support is a Windows-only function that ensures compatibility # with a ".py -> .exe" packaging method. On Linux, this has zero consequences. freeze_su...
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<reponame>etianen/py.sh<gh_stars>1-10 class StyleMapping: def __init__(self, opts): self._opts = opts def __getitem__(self, key): return getattr(self._opts, "style_{}".format(key), "").encode().decode("unicode_escape") def apply_styles(opts, command): return command.format_map(StyleMappi...
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<reponame>archerckk/PyTest<gh_stars>0 ''' 1.能使用随机数 2.用户猜对了提示信息 3.用户猜错能显示用户猜大了还是猜小了 4.机会一共只有3次 5.用户用完三次机会或者猜对了游戏结束 ''' import random target=random.randint(1,10) times=3 while times!=0: tmp=input('请输入你要猜的数字:') while not tmp.isdigit(): tmp=input('你的输入有误,请重新输入:') guess=int(tmp) times-=1 if targ...
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#!/usr/bin/env python # -*- coding:utf-8 -*- from queue import Queue def coroutine(func): def start(*args, **kwargs): rc = func(*args, **kwargs) rc.next() return rc return start @coroutine def threaded(target): messages = Queue() # message queue def run_target(): w...
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<filename>flask_cognito.py from collections import OrderedDict from functools import wraps from flask import _request_ctx_stack, current_app, jsonify, request from werkzeug.local import LocalProxy from cognitojwt import CognitoJWTException, decode as cognito_jwt_decode from jose.exceptions import JWTError import loggin...
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from __future__ import print_function from __future__ import division from future import standard_library standard_library.install_aliases() #from builtins import str from builtins import range from quantities.quantity import Quantity from quantities import mV, nA import sciunit from sciunit import Test,Score try: ...
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<filename>tests/multi_process/zeromq_queue.py #!/usr/bin/env python3 # -*- coding: utf-8 -*- """Tests for the the zeromq queue.""" import unittest from plaso.lib import errors from plaso.multi_process import zeromq_queue from tests import test_lib as shared_test_lib class ZeroMQPullBindQueue(zeromq_queue.ZeroMQPul...
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<reponame>bencarlisle15/AlexaControlledSamsungTV<filename>tvconfig.py<gh_stars>1-10 device_name = "Pi" #What shows up under devices in alexasmarttv.tk. not that important unless you have multiple devices (not tvs) on your account volume_step_size = 5 #how much your tv volume should go up by when you say 'Alexa, turn u...
StarcoderdataPython