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<filename>dao/user/user_status_dao.py # coding=utf-8 from dao.base.base_dao import BaseDao from support.db.mysql_db import doctor_user_conn class UserStatusDao(BaseDao): db_name = "doctor_user" table_name = "user_status" @classmethod def insert(cls, user_id, cuid, longitude, latitude, open_push, ip, ...
StarcoderdataPython
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<gh_stars>1-10 from datetime import datetime from scrapy import signals class MonitorExtension(object): """ 采集并上报监控指标,如scrapy状态或需要的业务指标 """ def __init__(self, stats): self.stats = stats self.spider = None @classmethod def from_crawler(cls, crawler): ext = cls(crawler...
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# Generated by Django 2.2.8 on 2020-01-18 16:22 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('hoodapp', '0007_neighbourhood_image'), ] operations = [ migrations.AddField( model_name='health', name='image', ...
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import sys sys.path.append("../../src") from pulumi_gcp_network.subnets import Subnets # noqa project_id = "demo-project" network_name = "example-vpc" subnets = [ { "subnet_name": "subnet-01", "subnet_ip": "10.10.10.0/24", "subnet_region": "us-west1", }, { "subnet_name": ...
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from .action import Action class EnvInterface: """The interface defines the methods which each environment class needs to implement""" def reset(self) -> object: """Resets the environment Returns state (list[float]): The state of the environment""" pass def step(self...
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"""fobject Retrieve id of tile at given position. Retrieve the internal id of a tile at a certain position. The internal id corresponds to the id you see when hovering over a tile in LDTK. in: - Numeric: id of the layer - Numeric: x position - Numeric: y position out: - Numeric: internal id of the tile """ class ...
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<filename>Questions/Chief in Chains/solution.py<gh_stars>1-10 class Solution(object): def reconstructQueue(self, people): people.sort(key=lambda x: (-x[0], x[1])) output = [] for p in people: output.insert(p[1], p) return output m = int(input()) k = Solution() a...
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<reponame>AndyChiangSH/1102_Web-based-systems<filename>midterm3/s4108056005/restaurant/migrations/0003_auto_20220524_2246.py # Generated by Django 3.1.2 on 2022-05-24 14:46 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('restaurant', '0002_user'), ] op...
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"""Contains common tensor operations.""" from typing import Sequence, Union import torch import numpy as np def collate_tensors( tensors: Sequence[torch.Tensor], pad_value: Union[int, float, bool, str] = 0 ): dtype = tensors[0].dtype device = tensors[0].device batch_size = len(tensors) shape = (b...
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<gh_stars>1-10 load("@bazel_tools//tools/build_defs/repo:utils.bzl", "maybe") load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive") def taskflow_repository(): maybe( http_archive, name = "taskflow", urls = [ "https://github.com/taskflow/taskflow/archive/refs/tags/...
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<gh_stars>0 import turtle as t t.penup() #move pen without writing t.ht() ## Change turtle to a square here. t.shape('square') STAMP_ID = 0 STAMP_IDs = [] def stamp_block(): ''' Places a block in the center of the canvas. ''' ## HINT global STAMP_ID STAMP_ID = t.stamp() def erase_block(): ...
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<gh_stars>0 import tensorflow as tf import numpy as np x_data = np.random.rand(100).astype("float32") y_data = x_data * 0.1 + 0.3 W = tf.Variable(tf.random_uniform([1],-1.0,1.0)) b = tf.Variable(tf.zeros([1])) y = W * x_data + b loss = tf.reduce_mean(tf.square(y-y_data)) optimizer = tf.train.GradientDescentOptimize...
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from __future__ import division import os import numpy as np import pprint import tensorflow as tf import tensorflow.contrib.slim as slim import pickle, csv from utils import * from model import UNet3D, SurvivalVAE flags = tf.app.flags flags.DEFINE_integer("epoch", 4, "Epoch to train [4]") flags.DEFINE_string("train_...
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# Generated by Django 3.1.2 on 2020-10-11 22:02 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('post', '0001_initial'), ] operations = [ migrations.AddField( model_name='post', name='location', field=...
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from flask_sqlalchemy import SQLAlchemy from flask_marshmallow import Marshmallow db = SQLAlchemy() ma = Marshmallow() class CarCount(db.Model): id = db.Column(db.Integer, primary_key=True) date_time = db.Column(db.DateTime) number = db.Column(db.Integer) class AirParameters(db.Model): id = db.Col...
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<gh_stars>0 def escriu_capçelera(nom_fitxer): with open(nom_fitxer, mode='w') as imatge: imatge.write('P1\n') imatge.write('3 3\n') if __name__ == '__main__': escriu_capçelera('imatge.pbm')
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<filename>src/data_loaders/data_loader.py import pickle import re import constants class Data(object): def __init__(self, inputs=None, outputs=None): self.inputs = inputs # list of input sequences e.g. chars, words self.outputs = outputs # list of output sequences (label sequences) class Rest...
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<gh_stars>10-100 from kratos import * from lake.attributes.config_reg_attr import ConfigRegAttr class ConfigReg(Generator): def __init__(self, name, data_width, init_val): super().__init__(f"config_reg_{name}_{data_width}") self.add_attribute(Con...
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#!/usr/bin/env python3 import random def main(): """Terminal上でポーカーを再現。ダブルアップはなし。 """ poker = Poker() # test() """ 標準入出力を利用して、ゲームを行う ループで回せばいい 終了の文字も指定する ゲームの流れは、 スタート->dealされた札が5枚表示される->holdする札を選択する-> ->再びdealする->役を判定->ゲームの結果処理->スタートに戻る ユーザーができることは、 holdする札を選ぶ。結果表示後...
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<reponame>cccccccccccccc/Myleetcode<filename>449/serializeanddeserialize BST.py # Definition for a binary tree node. """ timecomplexity = O(n) spacecomplexity = O(n) BST could be constructed by preorder or postorder travesal only. That means that BST structure is already encoded in the preorder or postorder traversal a...
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from setuptools import setup setup( name='pynkpandas', packages=['pynkpandas'], description='pynkpandas is a plugin for pynk. It does support data analysis.', version='0.0.1', url='https://gitlab.esa.int/mustlink-dev/pynkpandas', author='esa/esoc/ops-os', install_requires=["pandas"], py...
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<reponame>KJoke70/deep-visualization-toolbox # basic network configuration base_folder = '%DVT_ROOT%/' caffevis_deploy_prototxt = base_folder + './models/vgg/vgg16.prototxt' caffevis_network_weights = base_folder + './models/vgg/vgg16.caffemodel' caffevis_data_mean = (103.939, 116.779, 123.68) # input images st...
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import random # Duplicando a sequência def duplicacao_sequencia(seq_dna): return 2*seq_dna # Probabilidade de mundança - Randomizado # A função especifica se a cada base nitrogenada muta ou não muta def probabilidade_mutacao(lista_probabilidade,prob): lista_armazenar = [] # Armazenar os valores rando...
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from django.test import TestCase from dojo.tools.blackduck_component_risk.parser import BlackduckHubParser from dojo.models import Test from pathlib import Path class TestBlackduckHubCRParser(TestCase): def test_blackduck_enhanced_zip_upload(self): testfile = Path("dojo/unittests/scans/blackduck_component...
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import sys, os import subprocess from git_tools import git_tools import matplotlib.pylab as pylab current_dir = os.getcwd() authors_data = {} def commit_analysis(commit_hash, initial_date): # print("commit: " + commit_hash) author_name_cmd = "git log -1 --pretty=format:'%an' " + commit_hash author_name_...
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<filename>tests/test_experiment.py import os def test_model_creation(): assert os.path.exists("data/model.pickle") def test_metrics_creation(): assert os.path.exists("data/metrics.json") def test_dataset_availability(): assert os.path.exists("data/creditcard.csv")
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import os import datetime from hashkernel.bakery import ( NotAuthorizedError, CredentialsError, Cake, CakeRack, CakePath, CakeType, CakeRole, PatchAction, Content) from hashkernel import reraise_with_msg, utf8_reader from hashstore.utils import tuple_mapper from hashkernel.file_types import (BINARY, guess_name,...
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# Generated by Django 2.1.2 on 2019-01-30 12:17 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('mrp_system', '0066_auto_20190130_1148'), ] operations = [ migrations.AddField( model_name='vendor', name='address', ...
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import argparse import os import pdb import shutil from timeit import default_timer as timer import numpy as np import pandas as pd from tqdm import tqdm from evaluation import write_submission def iters_ensemble(args): ''' Ensemble on different iterations and generate ensembled files in fusioned folder ...
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<reponame>benjolitz/instruct import pytest from enum import Enum from instruct.typedef import ( parse_typedef, make_custom_typecheck, has_collect_class, find_class_in_definition, ) from instruct import Base, Atomic from typing import List, Union, AnyStr, Any, Optional, Generic, TypeVar, Tuple, FrozenSet...
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from enum import Enum class LogType(Enum): Info = 0 Success = 1 Fail = 2 Error = 3 Subtle = 4 Process = 5
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<filename>041.py #!/usr/bin/env python # -*- coding: utf-8 -*- """ 41. 係り受け解析結果の読み込み(文節・係り受け) 文節を表すクラスChunkを実装せよ.このクラスは形態素(Morphオブジェクト)の リスト(morphs),係り先文節インデックス番号(dst), 係り元文節インデックス番号のリスト(srcs)をメンバ変数に持つこととする. さらに,入力テキストのCaboChaの解析結果を読み込み,1文を Chunkオブジェクトのリストとして表現し,8文目の文節の文字列と係り先を 表示せよ. """ import sys from itertools im...
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<filename>src/scs_core/gas/pid/pid_calib.py """ Created on 24 Sep 2016 @author: <NAME> (<EMAIL>) """ from collections import OrderedDict from scs_core.data.datum import Datum from scs_core.gas.sensor_calib import SensorCalib # ----------------------------------------------------------------------------------------...
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<reponame>khunfloat/Pointlib __version__ = '4.62.2'
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# Finds recursively files with given extension in the given directory # IMPORTS from os import listdir from os.path import join, isdir # FUNCTIONS def find(parent_dir, extension): for file in listdir(parent_dir): child = join(parent_dir, file) if isdir(child): find(child, extension) ...
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import fastai from fastai.vision import * from fastai.callbacks import * class KnowledgeDistillation(LearnerCallback): def __init__(self, learn:Learner, teacher:Learner, T:float=20., α:float=0.7): super().__init__(learn) self.teacher = teacher self.T, self.α = T, α def on_backward...
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<gh_stars>0 import unittest from app.models import Case, Client, Comment class TestCase(unittest.TestCase): def setUp(self): self.client_Stephen = Client(full_name = "<NAME>", username = "remmi_m", password = "<PASSWORD>", ...
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import tensorflow as tf from easy_rec.python.core.metrics import metric_learning_average_precision_at_k from easy_rec.python.core.metrics import metric_learning_recall_at_k from easy_rec.python.layers import dnn from easy_rec.python.layers.common_layers import gelu from easy_rec.python.layers.common_layers import high...
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import torch.nn as nn import torch # pytorch 0.4.0! fft import numpy as np import cv2 def complex_mul(x, z): out_real = x[..., 0] * z[..., 0] - x[..., 1] * z[..., 1] out_imag = x[..., 0] * z[..., 1] + x[..., 1] * z[..., 0] return torch.stack((out_real, out_imag), -1) def complex_mulconj(x, z): out_...
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""" .. module:: COptimizerPGDExp :synopsis: Optimizer using Projected Gradient Descent with Exponential Line Search. .. moduleauthor:: <NAME> <<EMAIL>> """ import numpy as np from secml.array import CArray from secml.optim.optimizers import COptimizerPGDLS from secml.optim.optimizers.line_search import CLineSearc...
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<gh_stars>1-10 # Copyright 2015 - Mirantis, Inc. # # 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.org/licenses/LICENSE-2.0 # # Unless required by applicable ...
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<reponame>JaDogg/sbx """ Core Study Box classes .. include:: ../../docs/EXAMPLES.md .. include:: ../../docs/FILE_FORMAT.md """
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# Start of memory.py. import ctypes as ct def addressOffset(x, offset, bt): return ct.cast(ct.addressof(x.contents)+int(offset), ct.POINTER(bt)) def allocateMem(size): return ct.cast((ct.c_byte * max(0,size))(), ct.POINTER(ct.c_byte)) # Copy an array if its is not-None. This is important for treating # Numpy a...
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<reponame>samkaufman/morello import contextvars import dataclasses import functools import sys from collections.abc import Iterable, Sequence from typing import Any, Callable, Optional import morello.impl.actions import morello.impl.base from .. import cost, pruning, specs, system_config prune_column_major: contextv...
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<reponame>effrenus/connect-reports-core # Copyright © 2021 CloudBlue. All rights reserved.
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<reponame>uc-cdis/cwl '''update postgres metrics''' import postgres.mixins import postgres.utils class GenomelIndividualMetrics(postgres.mixins.IndMetricsTypeMixin, postgres.utils.Base): __tablename__ = 'genomel_individual_workflow_metrics' def add_metrics(engine, table, data): """ add provided metrics to da...
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<reponame>akubera/stumpy # # stumpy/utils.py # """ Utility methods """ from enum import Enum class ROOT_TO_NUMPY_DTYPE(Enum): C = 'i1' S = 'i2' I = 'i4' F = 'f4' D = 'f8' def iter_tobject(tobj, pattern=None): from ROOT import TDirectory, TCollection from fnmatch import fnmatch impo...
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""" Update timestamps of eLife annotations imported from Disqus. The annotations were initially created with the `POST /api/annotations` endpoint, which does not allow the `created` and `updated` timestamps to be specified. This migration restores the original timestamps from the corresponding Disqus comments. Revis...
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#!/usr/bin/python3 """ Assembler produces A64 ELF executables """ import argparse import os import stat import sys from typing import Dict, Any from CpuA64 import assembler as asm def lint(input): src = sys.stdin if input == "-" else open(input) print("UNIT", asm.UnitParse(src, False)) def assemble_common...
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<gh_stars>1-10 #!/usr/bin/env python # coding: utf-8 # Dataset: # O conjunto de dados para este projeto é originário do Repositório de A prendizado de Máquina da UCI # (https://archive.ics.uci.edu/ml/datasets/Adult) # Importando os módulos from sklearn.preprocessing import LabelEncoder from sklearn.model_selection i...
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NEW_FEATURES = [3, 5, 6, 7] FEATURES = [ 1, # L 2, # S 4, # B 8, # A 3, # LS 5, # LB 6, # SB 9, # LA 9, # LA 9, # LA 9, # LA 9, # LA 10, # SA 10, # SA 10, # SA 10, # SA 10, # SA 12, # BA 12, # BA 12, # BA 12, # BA ...
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<filename>src/sendkeyboardinput/sk.py<gh_stars>1-10 # we would need to scope it to a certain window # could we eliminate the keystroke so it is silent # run in a background import pyautogui import time pyautogui.FAILSAFE = True time.sleep(5) f = open("/usr/share/wordlists/rockyou.txt", 'r') for word in f: pyautogu...
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__all__ = ('test_validator', 'test_models')
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# Copyright 2016 The TensorFlow Authors. All Rights Reserved. # # 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.org/licenses/LICENSE-2.0 # # Unless required by applica...
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""" Contains TaskState class """ from tasksupervisor.endpoint.fiware_orion.entities.entity import FiwareEntity from tasksupervisor.endpoint.fiware_orion.entities.task import Task class TaskState(FiwareEntity): """ Represents the current state of the Task """ def __init__(self, _task): if not isinstanc...
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<gh_stars>10-100 """Module contains objects used for factor rotation Currently contains these rotations: - Varimax (numpy backend) - Quartimax (numpy backend) - Pseudo-Varimax (using Tensorflow backend, in rotation_tf module) - Pseudo-Quartimax (using Tensorflow backend, in rotation_tf module) The reason that some ar...
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""" Author: <NAME> Organization: terrestris GmbH & Co. KG Contact: <EMAIL> Created on: 10.11.20 """ def runs_as_async_task() -> bool: """Check if a method is currently running in a worker. This method can be called in any method to check if this method was called from an async celery worker. Code ta...
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import logging from db_access import db_ops from db_access import db_troop_class from db_access import db_skin from db_access import db_troop_modifier from db_access import db_loadout from db_access import db_modifier from misc import timing from model import troop troop_cache = {} @timing.timing def get_by_id(tro...
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import matplotlib from matplotlib import pyplot as plt import tensorflow as tf # tf.enable_eager_execution() import tensorflow_probability as tfp import numpy as np def session_options(enable_gpu_ram_resizing=True): """Convenience function which sets common `tf.Session` options.""" config = tf.ConfigProto() ...
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<reponame>kiancross/pixys<gh_stars>1-10 # # Copyright (c) 2020 <NAME> # from pixy.escape_sequence import EscapeSequence reset = EscapeSequence(0) def pring(text: str, style: EscapeSequence = EscapeSequence()) -> str: if not isinstance(text, str): raise ValueError("text must be of type str") if no...
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<filename>main.py<gh_stars>0 print('Welcome to the MineCraft CommandConsole, Press /help for a list of commands.') while True: x = input('/') if x=='lol': print('lol') else: print('Unknown Command ' + x)
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<reponame>Kev-in123/ICS2O7<gh_stars>1-10 vowels = "aeiouAEIOU" word = input("Enter a word: ") for i in range(len(word)): if vowels.find(word[i]) != -1: for j in range(len(vowels)): if vowels[j] == word[i]: if j + 1 < 5 or j + 1 > 5 and j + 1 <= 9: pri...
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# import libraries import numpy as np from flask import Flask, request, render_template import pickle import os import pandas as pd from collections import OrderedDict # app name app = Flask(__name__) # load the saved model def load_model(): return pickle.load(open('models\\loan_xgc_model.pkl','rb')) # home page...
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<gh_stars>0 from __future__ import with_statement import sys from setuptools import setup, find_packages from cc_plugin_eustace import __version__ def readme(): with open('README.md') as f: return f.read() reqs = [line.strip() for line in open('requirements.txt')] setup(name = "cc-plugi...
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from rest_framework.views import APIView from rest_framework.response import Response from rest_framework import viewsets from rest_framework import status from rest_framework.authentication import TokenAuthentication from rest_framework import filters from rest_framework.authtoken.views import ObtainAuthToken from res...
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import pymongo class MongoConfig(): def __init__(self, database_name, collection_name, use_localhost=False): self.host = '172.16.31.10' self.port_1 = 37017 self.port_2 = 47017 self.port_3 = 57017 self.database_name = database_name self.collection_name = collection_na...
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from pynput.keyboard import Listener, Controller, Key import time import threading class ComboListener: def __init__(self): self.cur_keys = [] self.keymap = { 'aaa': 'aster', 'bbb': 'good boy' } self._run() def _on_press(self, key): try: ...
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<gh_stars>0 import random import unittest import copy from norm_behaviour_old import * from aamas_experiments import sum_entry,average_entries from priorityqueue import PriorityQueue from norm_identification2 import * from __builtin__ import str class TestNormBehaviour(unittest.TestCase): def setUp(self): ...
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<filename>EdApi/bot.py<gh_stars>1-10 import json from requests import request as r from EdApi.common.exceptions import LoginException class EdBot: """ A bot to connect to the EcoleDirecte Api with requests """ def __init__(self, username, password, proxy_address=None, proxy_port=None): ...
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<reponame>Deepanjalli/job_portal6<gh_stars>0 # Generated by Django 2.1.2 on 2019-01-05 13:26 from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Photo', fields...
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#!/usr/bin/python # Not really an issue. It works as it is supposed to, I'd like to know if there's any possibility to add a ks_option to allow such # output # Github issue: #267 # Author: krystalgamer from keystone import * import regress class TestX86(regress.RegressTest): def runTest(self): # Initia...
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import logging from Pyro5.compatibility import Pyro4 try: import queue except ImportError: import Queue as queue import sys import threading import time import uuid import zmq #from ..pyro4_server import config #from ..util import PausableThread, iterative_run from ..threading_util import PausableThread from ...
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<gh_stars>10-100 import boto3 import cloudpickle import io import logging import os import pandas as pd from botocore.client import ClientError from flask import Flask from flask import jsonify from flask import request from marshmallow import fields, Schema app = Flask(__name__) logger = logging.getLogger() logging...
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from petaldata.datasets.stripe.reports.customer_lists.abstract_mom_diff import AbstractMoMDiff from petaldata.datasets.stripe.reports.customer_lists.new import New from petaldata.datasets.stripe.reports.customer_lists.expansion_contraction import ExpansionContraction from petaldata.datasets.stripe.reports.customer_lis...
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<reponame>taqtiqa-mark/pymarket import networkx as nx import pandas as pd import matplotlib.pyplot as plt def plot_trades_as_graph( bids: pd.DataFrame, transactions: pd.DataFrame, ax=None): """Plots all the bids as a bipartit graph with buyers and trades and an edge between each pa...
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import argparse import gym import gym_module_select from stable_baselines.common.vec_env import DummyVecEnv def init_parse_argument(): parser = argparse.ArgumentParser() parser.add_argument('-e', '--num-exp', help='num experiment episode', type=int, default=10) args = parser.parse_args() return args ...
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<gh_stars>100-1000 import cffi import faulthandler import os import sys from cffi_util import read_stripped_header SELF_DIR = os.path.dirname(os.path.abspath(__file__)) TOPLEVEL = os.path.abspath(SELF_DIR + "/../") + "/" # The reference implementation is at the top level. sys.path.append(TOPLEVEL) HEADERS = [ "...
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from pybindgen import Module, FileCodeSink, param, retval, cppclass, typehandlers import pybindgen.settings import warnings class ErrorHandler(pybindgen.settings.ErrorHandler): def handle_error(self, wrapper, exception, traceback_): warnings.warn("exception %r in wrapper %s" % (exception, wrapper)) ...
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#coding: utf-8 """ Tests for Oracle Api. """ import unittest
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<reponame>bkushigian/PokerNowPy ''' game.py Created by <NAME> on 5/27/20. Adapted to Python by <NAME> on 8/7/2021 Copyright © 2020 Say Goodnight Software. All rights reserved. ''' from typing import List, Optional, Dict from util import nil_guard, first, last, hash_str_as_id from datetime import datetime, timezone f...
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# Copyright European Organization for Nuclear Research (CERN) # # 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.org/licenses/LICENSE-2.0 # # Authors: # - <NAME>, <<EMAIL>>, 20...
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<gh_stars>1-10 from django.contrib import admin # Register your models here. from django.contrib.auth.admin import UserAdmin # Register your models here. from api.models import CustomUser,Company class UserModel(UserAdmin): pass admin.site.register(CustomUser,UserModel) admin.site.register(Company)
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# You are to write scripts as requested below using the for loops: # ask the user to enter 5 numbers and print the total at the end. total = 0 for count in range(5): num = input('Enter a number: ') total += int(num) print('Total is', total) # print out the the shape below # * # ** # *** # **** # ***** # **...
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from .base_testcase import BaseTestCase import json import os import tempfile import subprocess from .test_office_hours_queue import enableQueue class TestAccessibility(BaseTestCase): """ Test cases revolving around the logging in functionality of the site """ def __init__(self, testname): s...
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<filename>playfair.py #!/usr/bin/env python """ Caesar Cipher Brute force Decryption Author: <NAME>-<NAME> E-Mail: <EMAIL> Created: 2017-03-17 Python: 2.7 License: MIT """ import sys def usage(): print "Usage: playfair < e | d > <KEY> <PLAINTEXT>" def prepare_matrix(key): return def...
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from random import choice class RandomForest: FORESTS = [] def __init__(self): if self.FORESTS: return with open("forests") as f: self.FORESTS = f.read().splitlines() def get(self): return choice(self.FORESTS)
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<reponame>rudyn2/tsad import argparse import numpy as np import torch import wandb from gym_carla.envs.carla_pid_env import CarlaPidEnv from torch.utils.data import DataLoader from train_bc import BCTrainer from models.carlaAffordancesDataset import AffordancesDataset, HLCAffordanceDataset from agent import BCStocha...
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import heapq class Solution: def tilingRectangle(self, n: int, m: int) -> int: total_area = n * m dp = [0] * (total_area + 1) for i in range(1, total_area): dp[i] = 1 + min(dp[i - k * k] for k in range(1, int(i ** 0.5) + 1)) height = [0] * m pq = [] for i...
StarcoderdataPython
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<gh_stars>0 # -*- coding: utf-8 -*- import pywinauto def search_child_byclassname_1(class_name, uiaElementInfo, target_all = False): target = [] # 全ての子要素検索 for childElement in uiaElementInfo.children(): #一覧確認-------------------------------------- #print(childElement) #p...
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<reponame>hocineabdellatif/genetic-py from typing import List, Union, Dict, Tuple, Set, Any, Literal from functools import reduce from json import dumps from random import randint from math import floor, sqrt def to_terminal( line_type: Union[Literal['warning', 'error', 'info', ''], None], msg_type: U...
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""" Plotting Tools for persistence diagrams and cocycles """ import numpy as np import matplotlib.pyplot as plt from matplotlib.patches import Polygon def plotDGM(dgm, color = 'b', sz = 20, label = 'dgm', axcolor = np.array([0.0, 0.0, 0.0]), marker = None): if dgm.size == 0: return # Create Lists #...
StarcoderdataPython
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<filename>python/src/pdef/version.py<gh_stars>1-10 # encoding: utf-8 '''Pdef version in a separate module to simplify setup.py.''' __version__ = '1.2.0'
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import os import numpy as np import random import numbers import skimage from skimage import io, color import torch # read uint8 image from path def imread_uint8(imgpath, mode='RGB'): ''' mode: 'RGB', 'gray', 'Y', 'L'. 'Y' and 'L' mean the Y channel of YCbCr. ''' if mode == 'RGB': img = io....
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# Copyright 2015 Cloudera Inc. # # 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.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, so...
StarcoderdataPython
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<gh_stars>0 from madlib import print_intro def test_index_one(): expected = "**************************************" "** Welcome to Madlibs! **" "**************************************" "** You will be prompted for a list **" "** of words to substitute **" "** for b...
StarcoderdataPython
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<gh_stars>0 ''' .. versionadded:: 2.30 ''' from collections import OrderedDict import functools as ft import logging from asyncio_helpers import sync from markdown2pango import markdown2pango from pygtkhelpers.forms import FormView from pygtkhelpers.gthreads import gtk_threadsafe from pygtkhelpers.schema import (get_f...
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# Copyright 2014 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. from telemetry import test from measurements import chrome_proxy import page_sets class ChromeProxyLatency(test.Test): tag = 'latency' test = chrome_p...
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<reponame>alexgolec/interview-problems # Level 4: A linear-time, constant space solution based on dynamic programming. from neighbors import neighbors def count_sequences(start_position, num_hops): prior_case = [1] * 10 current_case = [0] * 10 current_num_hops = 1 while current_num_hops <= num_hops: ...
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"""Semantic Role Labeling related modeling class""" from copy import deepcopy from typing import List, Optional from pororo.tasks.utils.base import PororoFactoryBase, PororoSimpleBase class PororoSrlFactory(PororoFactoryBase): """ Conduct semantic role labeling Korean (`charbert.base.ko.srl`) ...
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<reponame>Ozanaydinn/Ozanaydinn.github.io from flask import Flask, jsonify from flask_restful import Api from flask_sqlalchemy import SQLAlchemy from flask_jwt_extended import JWTManager from flask_cors import CORS import os from datetime import timedelta import controllers.AuthController as AuthController import cont...
StarcoderdataPython