content stringlengths 1 1.05M | input_ids listlengths 1 883k | ratio_char_token float64 1 22.9 | token_count int64 1 883k |
|---|---|---|---|
'''
File: lotka-volterra.py
Authors:
- Sjoerd Wenker, 10617558
- Tristan van Vaalen, 10551832
Contains a Lotka-Volterra Model which is simulated using the RK4 method.
'''
from integration import RungeKutta4
import matplotlib.pyplot as plt
from matplotlib.widgets import Slider
'''
Method that simulates a Lotka-Volte... | [
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#!/usr/bin/env python3
# Common Imports
import io
import rospy
import sys
import unittest
# Specific Imports
import time
import wave
from harmoni_common_lib.action_client import HarmoniActionClient
from harmoni_common_lib.constants import ActionType, DetectorNameSpace, SensorNameSpace, State
from audio_common_msgs.m... | [
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... | 2.896947 | 262 |
# coding: utf-8
from __future__ import absolute_import, unicode_literals
from optparse import make_option
import time
from django import VERSION
from django.core.management.base import NoArgsCommand
from smoked import default_registry
from smoked.runner import run_tests
stats_msg = """
Results
=======
Total: {total}... | [
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2849,
198,... | 3.258333 | 120 |
'''
Testing your data with asserts
Here, you'll practice writing assert statements using the Ebola dataset from previous chapters to programmatically check for missing values and to confirm that all values are positive. The dataset has been pre-loaded into a DataFrame called ebola.
In the video, you saw Dan use the .... | [
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COLLIDER_SUITE_OFFSHOOT_RANGE = (0, 100)
COLLIDER_SUITE_SPLIT_ABS_RANGE = (0, 10)
COLLIDER_SUITE_SPLIT_REL_RANGE = (-1, 1, 2)
COLLIDER_SUITE_ASSIMILATE_SIZE_RANGE = (0, 10)
TAPE_FRAME_SEARCH_LIMIT_RANGE = (1, 100000)
TAPE_PIXEL_SEARCH_LIMIT_RANGE = (1, 1000000)
DEFAULT_CALIBRATION_ENCLOSURE_SIZE_RANGE = (0, 1000)
COLL... | [
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... | 1.854167 | 336 |
from ._http import (HTTPClient,
get_id,
Route,
GET,
PUT,
DELETE,
)
import asyncio
| [
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220,
220,
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220,
220,
220,
220,
220,
220,
220,
22... | 1.355705 | 149 |
import json
| [
11748,
33918,
628,
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] | 3.75 | 4 |
# Copyright 2019 Spotify AB
#
# 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, s... | [
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733... | 3.84472 | 161 |
# Generated by Django 2.2.4 on 2019-08-10 14:04
from django.db import migrations, models
| [
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#!/usr/bin/env python3
import tkinter as tk
from tkinter import filedialog
from tkinter import messagebox
from tkinter import ttk
import os
import sys
print_n = sys.stdout.write
STAT_TXT = ("ST", "MA", "VI", "AG")
# Characters
CHAR_OFFSET = "0x24"
CHAR_ID = ("0x75", 2)
CHAR_LVL = ("0x79", 1)
CHAR_EXP = ("0x7C", 2)
... | [
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... | 2.003318 | 14,767 |
import json
import matplotlib.animation as animation
import matplotlib.pyplot as plt
import numpy as np
import scipy.signal as signal
import yaml
from mpl_toolkits.mplot3d.axes3d import Axes3D
from scipy.interpolate import interp1d
from tf_pwa.config_loader import ConfigLoader
from tf_pwa.experimental.extra_amp impor... | [
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... | 1.786699 | 2,466 |
'''
A script for accessing visualization data (saving images at validation steps during training) and saving them to a local directory.
'''
import pymongo as pm
import pickle
import os
import gridfs
import cPickle
import numpy as np
from PIL import Image
dbname = 'future_pred_test'
collname = 'asymmetric'
port = 27017... | [
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... | 2.475751 | 1,299 |
"""
BASICS
Creates the necessary tables and users.
"""
import os
import psycopg2
con = psycopg2.connect (host = os.environ["POSTGRES_URL"], database = os.environ["POSTGRES_DB"], user = os.environ["POSTGRES_USER"], password = os.environ["POSTGRES_PASSWORD"])
cur = con.cursor()
# Creates main user table
cur.execut... | [
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... | 2.692845 | 573 |
from collections import defaultdict
computing_graph = defaultdict(list)#defaultdict(list),valuelist
"""
for (key, value) in data:
result[key].append(value)
print(result)#defaultdict(<class 'list'>, {'p': [1, 2, 3], 'h': [1, 2, 3]})
"""
n = 'p'
m = [1,2,23]
computing_graph[n].append(m)
print(computing_gr... | [
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... | 2.362319 | 138 |
#!/usr/bin/env python3
from botlib.curl import Curl
from botlib.html2list import HTML2List, MatchGroup
URL = 'https://www.vice.com/en/topic/motherboard'
SOURCE = Curl.get(URL, cache_only=True)
SELECT = '.vice-card__content'
match = MatchGroup({
'url': r'<a href="([^"]*)"',
'title': r'<h3[^>]*><a [^>]*>([\s\S]... | [
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from collections import OrderedDict
import itertools
import sys
from tensorflow.keras.layers import Input
from tensorflow.keras.models import Model
from tensorflow.keras.optimizers import Adam
from flowket.callbacks import TensorBoard
from flowket.callbacks.exact import default_wave_function_callbacks_factory, ExactO... | [
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... | 2.52194 | 1,299 |
#!/usr/bin/python
# Copyright (c) 2014 The Native Client Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""A archive_info is a json file describing a single package archive."""
import collections
import hashlib
import json
import os
... | [
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... | 3.166667 | 282 |
"""Ad hoc tests of the LsstLatexDoc class. Other test modules rigorously verify
LsstLatexDoc against sample documents.
"""
from pybtex.database import BibliographyData
import pytest
from lsstprojectmeta.tex.lsstdoc import LsstLatexDoc
def test_no_short_title():
"""title without a short title."""
sample = r"... | [
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13... | 2.448812 | 1,094 |
frase = str(input('Digite o seu nome completo para a anlise ser feita:')).strip()
print('-' * 50)
print('Analisando nome...')
print('O seu nome em maisculas {}.'.format(frase.upper()))
print('O seu nome em minsculas {}.'.format(frase.lower()))
print('O seu nome tem ao todo {} letras.'.format(len(frase) - frase.count(... | [
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19355,
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8,
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2025,
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25440... | 2.58046 | 174 |
from functools import partial
import logging
import msgpack
import msgpack_numpy as mpn
from confluent_kafka.cimpl import KafkaException
import numpy as np
import pickle
import pytest
from bluesky_kafka import Publisher, BlueskyConsumer
from bluesky_kafka.tests.conftest import get_all_documents_from_queue
from blues... | [
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1174... | 3.084507 | 213 |
import time
import heapq
pq = PriorityQueue()
pq.add(f2, priority=1)
pq.add(f1, priority=0)
pq.pop()()
pq.pop()()
| [
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... | 2.109091 | 55 |
import requests
import sys
from lxml import html
#csv_file_name = sys.argv[1] # output file
csv_file_name = "../webshot_data/popular-web-sites.csv"
csv_file = open(csv_file_name, "w")
categories = ["Arts", "Business", "Computers", "Games", "Health", "Home", "Kids_and_Teens", "News", "Recreation", "Reference", "Regio... | [
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"""
Common solar physics coordinate systems.
This submodule implements various solar physics coordinate frames for use with
the `astropy.coordinates` module.
"""
from __future__ import absolute_import, division
import numpy as np
from astropy import units as u
from astropy.coordinates.representation import (Cartesia... | [
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1... | 2.569476 | 439 |
import pytest
import os
import sys
import numpy as np
import ray
from ray import serve
from ray.serve.api import _get_deployments_from_node
from ray.serve.handle import PipelineHandle
from ray.serve.pipeline.pipeline_input_node import PipelineInputNode
def test_single_node_deploy_success(serve_instance):
m1... | [
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62,
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... | 2.47772 | 965 |
#helpers
| [
198,
198,
2,
16794,
364,
198
] | 1.833333 | 6 |
from kafka import KafkaProducer
from kafka.errors import KafkaError
import json
# produce json messages
producer = KafkaProducer(bootstrap_servers='kafka:9092', security_protocol='PLAINTEXT',
value_serializer=lambda m: json.dumps(m).encode('ascii'))
result = producer.send('ktig', {'measure_i... | [
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11... | 2.076389 | 288 |
try:
import uasyncio.core as asyncio
except:
import asyncio
loop = asyncio.get_event_loop()
loop.call_soon(cb, "test", "test2")
loop.run_forever()
print("OK")
| [
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"""
Provides a mock for the plx_gpib_ethernet package used in the
Ando devices.
"""
from unittest.mock import Mock
# The commands that are used in the methods of the
# ANDO devices and typical responses.
QUERY_COMMANDS = {
# Spectrum Analyzer commands
"*IDN?": "ANDO dummy\r\n",
"SWEEP?": "0\r\... | [
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326,... | 1.894366 | 284 |
import sys
from inspect import getmembers, isclass
from typing import Union
from hearthstone.simulator.core.cards import MonsterCard
from hearthstone.simulator.core.events import CardEvent, EVENTS, BuyPhaseContext, CombatPhaseContext
from hearthstone.simulator.core.monster_types import MONSTER_TYPES
REMOVED_CARD... | [
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13,
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13,
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12635,
16962,
198,
6738,
3285,
400,
6440,
13,
14323,
8927,
13,
... | 2.183673 | 294 |
# -*- coding: utf-8 -*-
"""Scan views."""
from flask import Blueprint, render_template, flash, redirect, url_for, session
from flask_login import current_user
from .forms import ScanForm
from .service import ScanService
from cookiecutter_mbam.utils import flash_errors
blueprint = Blueprint('scan', __name__, url_prefix... | [
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1330... | 3.473214 | 112 |
import pytest
import dbstore
inMemFile = ":memory:"
measurementTable = "measurements"
alertTable = "alerts"
timestampTestData = "2021-04-29T23:25:44Z"
| [
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... | 2.375 | 72 |
import importlib
_NOTIFICATION_BACKENDS = None
| [
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] | 3.0625 | 16 |
import numpy as np
import cv2
labels = ['dog', 'cat', 'panda']
np.random.seed(1)
# Simulate model already trained
W = np.random.randn(3, 3072)
b = np.random.randn(3)
orig = cv2.imread('beagle.png')
image = cv2.resize(orig, (32, 32)).flatten()
scores = W.dot(image) + b
for (label, score) in zip(labels, scores):
... | [
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8,
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2,
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8776... | 1.929712 | 313 |
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from .signal_processing import (
resample_data,
normalize_signal,
calculate_magnitude,
calculate_offset_in_seconds_using_cross_correlation,
calculate_sampling_frequency_from_timestamps,
)
def get_synchronization_offset(
vi... | [
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1... | 2.350085 | 1,174 |
s = 'vpoboooboboobooboboo'
y = 0
counter = 0
times_run = 0
start = 0
end = 3
for letter in s:
sc = s[start:end]
start += 1
end += 1
if sc == str('bob'):
counter += 1
print('Number of times bob occurs is: ', counter)
| [
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... | 2.178571 | 112 |
#! /usr/bin/env python2
# -*- coding: utf-8 -*-
import random
import unittest
import sfml as sf
if __name__ == '__main__':
unittest.main()
| [
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1... | 2.268657 | 67 |
# -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description: Word level augmentations including Replace words with uniform
random words or TF-IDF based word replacement.
"""
import collections
import copy
import math
import numpy as np
from textgen.utils.log import logger
min_token_num = 3
def g... | [
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... | 2.211538 | 520 |
from . import three_D_resnet
from .kernel import get_kernel_to_name
def build_three_d_resnet(input_shape, output_shape, repetitions, output_activation, regularizer=None,
squeeze_and_excitation=False, use_bottleneck=False, kernel_size=3, kernel_name='3D'):
"""Return a full customizable res... | [
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... | 2.529594 | 2,585 |
from matplotlib import use
use('WXAgg')
import pylab as plt
import numpy as np
plt.figure(figsize=(8,5))
ax = plt.subplot(111)
fil = './spectrum_GOME.out'
data = np.loadtxt(fil)
y = data[:,1]
x = data[:,0]
pl_list = []
pl, = ax.plot(x,y,'r')
pl_list.append(pl)
y = 10*data[:,3]
pl, = ax.plot(x,y,'... | [
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# -*- coding: utf-8 -*-
# Generated by Django 1.11.5 on 2017-10-30 23:53
from __future__ import unicode_literals
from django.db import migrations
from tasks.models import BeneficiariesMatching
| [
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... | 2.925373 | 67 |
"""
An AWS Python3+Flask web app.
"""
from flask import Flask, redirect, url_for, request, session, flash, get_flashed_messages, render_template, escape
from flask_oauthlib.client import OAuth
import boto3,botocore
import jinja2
from boto3.dynamodb.conditions import Key, Attr
import urllib.request
import json
import c... | [
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62,... | 3.316652 | 1,099 |
import json
from newsapi import covid_news | [
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62,
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220
] | 3.583333 | 12 |
#!/usr/bin/env python3
# imports go here
import atexit
#
# Free Coding session for 2015-02-10
# Written by Matt Warren
#
if __name__ == '__main__':
atexit.register(clean_up)
try:
import time
while True:
time.sleep(1)
except KeyboardInterrupt:
pass
| [
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... | 2.290076 | 131 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
""" apscheduler. """
import subprocess
from apscheduler.scheduler import Scheduler
from apscheduler.jobstores.shelve_store import ShelveJobStore
from datetime import date, datetime, timedelta
import os
import shelve
import zmq
from core.config.settings import logger
... | [
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... | 3.008333 | 120 |
import warnings
from .base import TorchFramework
from .dqn import DQN
from .dqn_per import DQNPer
from .rainbow import RAINBOW
from .ddpg import DDPG
from .hddpg import HDDPG
from .td3 import TD3
from .ddpg_per import DDPGPer
from .a2c import A2C
from .a3c import A3C
from .ppo import PPO
from .sac import SAC
from .... | [
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1... | 2.125592 | 422 |
# Generated by Django 3.2.7 on 2021-09-24 02:31
from django.db import migrations, models
import django.db.models.deletion
| [
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... | 2.818182 | 44 |
# -*- coding: utf-8 -*-
"""The hashers CLI arguments helper."""
from plaso.cli import tools
from plaso.cli.helpers import interface
from plaso.cli.helpers import manager
from plaso.lib import errors
manager.ArgumentHelperManager.RegisterHelper(HashersArgumentsHelper)
| [
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7... | 3.162791 | 86 |
# Generated by Django 3.1.5 on 2021-01-11 08:07
from django.db import migrations, models
import django.db.models.deletion
import django_mysql.models
import utils.models
| [
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... | 2.898305 | 59 |
#!/usr/bin/env python
"""
Convert the output of Noise Cancelling Repeat Finder to bed format.
"""
from sys import argv,stdin,stdout,stderr,exit
from os import path as os_path
from ncrf_parse import alignments,parse_noise_rate
if __name__ == "__main__": main()
| [
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# Copyright (c) 2018-present, Royal Bank of Canada.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import warnings
import numpy as np
import torch
import torchvision.transforms.functional as F
from advertorch.utils im... | [
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... | 3.366667 | 210 |
from __future__ import division
import itertools
import matplotlib.pyplot as plt
from matplotlib.pyplot import savefig
import random
from random import shuffle
from collections import Counter
def term_frequency(somelist):
"""Returns the term frequency of each unique token in the term list"""
somelist =... | [
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36... | 2.534328 | 670 |
from PyQt5.QtCore import pyqtSlot
from channels.channel import Channel
from operators.base import OutputOperator
import numpy as np
| [
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299,
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628
] | 3.694444 | 36 |
if "__main__" == __name__:
solution = Solution()
n = 1025
res = solution.isPowerOfTwo(n)
print(res) | [
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299,
796,
838,
1495,
198,
220,
220,
220,
581,
796,
4610,
13,
... | 2.152542 | 59 |
from celery.task import task
from django.conf import settings
from social_core.backends.utils import get_backend
| [
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] | 3.677419 | 31 |
#pathList = [
#"/global/project/projectdirs/als/spade/warehouse/als/bl832/phosemann/20160512_092220_tensile7_T700_240mic/raw/20160512_092220_tensile7_T700_240mic.h5",
#"/global/project/projectdirs/als/spade/warehouse/als/bl832/phosemann/20160512_085327_tensile7_T700_200mic/raw/20160512_085327_tensile7_T700_200mic.h... | [
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577,
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14,
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1899,
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1238,... | 1.855673 | 4,178 |
import asyncio
import json
import discord
from discord.ext import commands, tasks
from discal.bot import Bot
from datetime import datetime, timedelta
from discal.logger import get_module_logger
logger = get_module_logger(__name__)
| [
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13... | 3.455882 | 68 |
#!/usr/bin/env python2
# -*- coding: utf-8 -*-
# Copyright (c) 2015 David I. Urbina, david.urbina@utdallas.edu
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including... | [
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67,
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... | 3.488665 | 397 |
n = int(input())
words = [''] * n
for i in range(n):
words[i] = input()
# merge_sort(words)
insertion_sort(words, n)
for w in words:
print(w)
| [
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7,
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8,... | 2.211268 | 71 |
from django.db import models
| [
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42625,
14208,
13,
9945,
1330,
4981,
628
] | 3.75 | 8 |
# -*- coding: utf-8 -*-
# URI Judge - Problema 1017
tempo = int(input())
velocidade = int(input())
litros = (velocidade / 12.0) * tempo
print("%.3f" % litros)
| [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
2,
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8974,
532,
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22,
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7,
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626,
420,
312,
671,
796,
493,
7,
15414,
28955,
198,
198,
18250,
... | 2.25 | 72 |
'''
Date: 2021-08-10 17:17:35
LastEditors: Liuliang
LastEditTime: 2021-08-10 18:27:56
Description:
'''
import random
import sys
sys.path.append("..")
from bacic_module.random_int_list import random_int_list
c = random_int_list(0,10,10)
print(c)
p = qks(c,0,len(c)-1)
print(c)
| [
7061,
6,
198,
10430,
25,
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12,
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12,
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1596,
25,
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25,
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669,
25,
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15483,
198,
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12,
2919,
12,
940,
1248,
25,
1983,
25,
3980,
198,
11828,
25,
220,
198,
70... | 2.217054 | 129 |
import os
import json
create_json_CYC_envs("/home/geoff/Dropbox")
| [
11748,
28686,
201,
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11748,
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201,
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201,
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14,
11195,
14,
469,
2364,
14,
26932,
3524,
4943,
201,
198
] | 2.142857 | 35 |
import unittest
import drawzero
################################################################################
if __name__ == "__main__":
unittest.main()
| [
11748,
555,
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395,
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11748,
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1298,
198,
220,
220,
220,
555,
715,
395,
13,
12417,
3419,
198
] | 4.432432 | 37 |
import numpy as np
from fedot.api.api_utils.api_data import ApiDataProcessor
from fedot.api.api_utils.api_data_analyser import DataAnalyser
from fedot.api.main import Fedot
from fedot.core.data.data import InputData
from fedot.core.repository.dataset_types import DataTypesEnum
from fedot.core.repository.tasks import T... | [
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299,
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355,
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13,
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15042,
13,
15042,
62,
26791,
13,
15042,
62,
7890,
62,
272,
... | 2.52468 | 1,641 |
from multiprocessing import cpu_count, Manager, Process
from time import sleep
| [
6738,
18540,
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919,
278,
1330,
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62,
9127,
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640,
1330,
3993,
628
] | 4.210526 | 19 |
#
# SFA XML-RPC and SOAP interfaces
#
import sys
import os
import traceback
import string
import xmlrpclib
import sfa.util.xmlrpcprotocol as xmlrpcprotocol
from sfa.util.sfalogging import logger
from sfa.trust.auth import Auth
from sfa.util.config import *
from sfa.util.faults import *
from sfa.util.cache import Cache... | [
2,
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2,
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... | 2.459 | 1,000 |
__author__ = 'rknight'
import os
import csv
import logging
import datetime
from requests_futures.sessions import FuturesSession
def dlrequest(reports, dlkeys):
'''
Primary function to get data for a range of dates
Returns a dict. Structure should be:
{'outname': {'data': [all the da... | [
834,
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834,
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81,
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6,
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13,
82,
6202,
1330,
24002,
942,
36044,
628,
628,
198,
4299,
288,
75,... | 2.212609 | 1,491 |
# coding: utf-8
from __future__ import absolute_import
from datetime import date, datetime # noqa: F401
from typing import List, Dict # noqa: F401
from anchore_engine.services.policy_engine.api.models.base_model_ import Model
from anchore_engine.services.policy_engine.api import util
| [
2,
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198,
198,
6738,
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11,
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713,
220... | 3.233333 | 90 |
"""Module for machine learning models."""
from dataclasses import dataclass
from typing import Any, Optional, Union
import numpy as np
import pandas as pd
from bayes_opt import BayesianOptimization
from catboost import CatBoostClassifier
from sklearn.discriminant_analysis import (
LinearDiscriminantAnalysis,
... | [
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198,
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19798,
292,
355,
279,
67,... | 2.672498 | 1,029 |
#!/usr/bin/env python3
# The MIT License (MIT)
#
# Copyright (c) 2015 Lucas Koegel
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rig... | [
2,
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2,
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3411,
318,
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286,
3877,
... | 2.302939 | 3,301 |
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.patches import Ellipse
NUM = 250
ells = [Ellipse(xy=np.random.rand(2) * 10,
width=np.random.rand(), height=np.random.rand(),
angle=np.random.rand() * 360)
for i in range(NUM)]
fig, ax = plt.subplots(subplot_kw={'aspect': 'equal'})
for e in ells:
... | [
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198,
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685,
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541,
325,
7... | 2.211982 | 217 |
from enum import Enum
| [
6738,
33829,
1330,
2039,
388,
628
] | 3.833333 | 6 |
#import OpenStack connection class from the SDK
from openstack import connection
# Create a connection object by calling the constructor and pass the security information
conn = connection.Connection(auth_url="http://192.168.0.106/identity",
project_name="demo",
username="admin",
password="manoj",
user_domain_id="defa... | [
2,
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2,
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257,
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1321,
198,
37043,
796,
4637,
13,
32048,
7,
18439,
62,
6371,
2625... | 3.732673 | 101 |
from sympy import *
import pandas as pd
print(bisection(10, 50, 0.01, '3*x**2 - 120*x + 100')) | [
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6,
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] | 2.317073 | 41 |
"""Main module for operating on crypted/encoded strings in Geometry Dash"""
from gd.utils.crypto.coders import Coder
from gd.utils.crypto.xor_cipher import XORCipher as xor
| [
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67,
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327,
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201,
198,
6738,
308,
67,
13,
26791,
13,
29609,... | 2.983051 | 59 |
from pid import PID
import pdb
#for anonymous objects
Object = lambda **kwargs: type("Object", (), kwargs)
| [
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86,
22046,
8,
198,
220,
220,
220,
220,
220,
220,
220,
220,
198,
220... | 2.288136 | 59 |
import tkinter as tk
from tkinter import filedialog
from tkinter import messagebox
from tkinter import scrolledtext
from tkinter import ttk
import tkcalendar as tkc
from shiftscheduler.data_types import data_types
from shiftscheduler.excel import output as excel_output
from shiftscheduler.gui import constants
from ... | [
198,
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... | 3.043716 | 183 |
# Generated by Django 2.1.5 on 2019-01-26 19:42
import datetime
from django.db import migrations, models
| [
2,
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1330,
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602,
11,
4981,
628
] | 2.972222 | 36 |
from setuptools import setup, find_packages
setup(
name='selfstoredict',
version='0.6',
packages=find_packages(),
url='https://github.com/markus61/selfstoredict',
license='MIT',
author='markus',
author_email='ms@dom.de',
description='a python class delivering a dict that stores itself in... | [
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11639,
15,
13,
21,
3256,
198,
220,
220,
220,
10392,
28,
19796,
62,
43789,... | 2.846774 | 124 |
sum = add(2,5,6,5)
print(sum)
calculate(add=3, mul=5)
my_car = Car(make="Nissan")
print(my_car.model) | [
201,
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28,
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8,
201,
198,
201,
198,
1820,
62,
7718,
796,
1879,
... | 1.793651 | 63 |
# -*- coding: utf-8 -*-
import os
import sys
import logging
import json
from urllib import urlencode
import urlparse
#for CSRF state tokens
import time
import base64
# Get available json parser
try:
# should be the fastest on App Engine py27.
import json
except ImportError:
try:
import simplejson as json
... | [
2,
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571,
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8189,
198,
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19016,
29572,
198,
198,
2,
1640... | 2.815126 | 357 |
#!/usr/bin/env python3
from __future__ import print_function
import os
import pythondata_cpu_ibex
print("Found ibex @ version", pythondata_cpu_ibex.version_str, "(with data", pythondata_cpu_ibex.data_version_str, ")")
print()
print("Data is in", pythondata_cpu_ibex.data_location)
assert os.path.exists(pythondata_cp... | [
2,
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14,
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18,
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62,
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62,
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24283,
106... | 2.43949 | 314 |
"""LAPKT-BFWS
https://github.com/nirlipo/BFWS-public
"""
import re
import os
import sys
import subprocess
import tempfile
from pddlgym_planners.pddl_planner import PDDLPlanner
from pddlgym_planners.planner import PlanningFailure
import numpy as np
from utils import FilesInCommonTempDirectory
DOCKER_IMAGE = 'khodeir/b... | [
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541,
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14,
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850,
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198,
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... | 2.837607 | 117 |
import csv
import re
import sys
import requests
import json
import Data # data container, replace with your own
orgName = Data.orgName # replace with your own
apiKey = Data.apiKey # provide your own API token
api_token = "SSWS " + apiKey
headers = {'Accept': 'application/json',
'Content-Type': 'application... | [
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534,
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2398,
5376,
796,
6060,
13,
2398,
5376,
1303,
6330,
351,
534,
898,
... | 2.895833 | 144 |
import random
import PySimpleGUI as sg
simulador = SimuladorDeDado()
simulador.Iniciar()
| [
11748,
4738,
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35,
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198,
14323,
377,
7079,
13,
818,
291,
12571,
3419,
198
] | 2.757576 | 33 |
import math
from typing import List, Iterable, Union
Numeric = Union[int, float]
def vdot(p: List[Numeric], q: List[Numeric]) -> float:
"""Vector dot product."""
if len(p) == 0:
raise ValueError("p must not be None or empty")
if len(q) == 0:
raise ValueError("q must not be No... | [
11748,
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198,
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11,
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540,
11,
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201,
198,
201,
198,
45,
39223,
796,
4479,
58,
600,
11,
12178,
60,
201,
198,
201,
198,
201,
198,
201,
198,
4299,
410,
26518,
7,
79,
25,
7343,
58,
45,
39223,... | 2.249564 | 573 |
# Written 9/10/14 by dh4gan
# Code reads in output eigenvalue file from tache
# Computes statistics
import numpy as np
import matplotlib.pyplot as plt
import io_tache as io
# Read in inputs from command line
filename = ff.find_local_input_files('eigenvalues*')
threshold = input("What is the threshold for classificat... | [
2,
22503,
860,
14,
940,
14,
1415,
416,
34590,
19,
1030,
198,
2,
6127,
9743,
287,
5072,
304,
9324,
8367,
2393,
422,
256,
4891,
198,
2,
3082,
1769,
7869,
198,
198,
11748,
299,
32152,
355,
45941,
198,
11748,
2603,
29487,
8019,
13,
9078... | 2.591579 | 475 |
from django.views.generic.edit import CreateView, FormMixin
from django.views.generic.list import ListView
from django.views.generic.detail import DetailView
from django import forms
from django.urls import reverse
from reportlab.pdfgen import canvas
from django.http import HttpResponse
from forwarder.models import A... | [
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13,
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1330,
13610,
7680,
11,
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259,
198,
6738,
42625,
14208,
13,
33571,
13,
41357,
13,
4868,
1330,
7343,
7680,
198,
6738,
42625,
14208,
13,
33571,
13,
41357,
13,
49170,
1330,
425... | 3.062385 | 545 |
import h5py
# torch imports
import torch
from torch.utils.data import Dataset
# generic imports
import os
import sys
import numpy as np
import random
import pandas as pd
import cv2
from decord import VideoReader
from decord import cpu, gpu
from matplotlib import pyplot as plt
import gc
# create data loader
| [
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2,
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198,
11748,
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198,
11748,
299,
32152,
355,
45941,
198,
... | 3.294737 | 95 |
"""
@file: sklearn_method.py
@time: 2020-12-09 17:38:38
"""
import pandas as pd
import seaborn as sns
from tqdm import tqdm
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.linear_model import LogisticRegression
from sklearn.ensemble import RandomForestClassifier
from sklearn.naive_bayes import... | [
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... | 2.584288 | 611 |
import tempfile
from django.conf import settings
from django.contrib.auth.models import User
from django.core.files.uploadedfile import SimpleUploadedFile
from django.test import TestCase
from filer.models import Image
from handypackages.tag.models import Tag
from .models import Gallery
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import os
import typing
import jk_typing
from .ProcessFilter import ProcessFilter
#
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/home/runner/.cache/pip/pool/ab/0b/2c/7ae80e56fd2208fbee5ef317ac009972f468b5601f62f8f799f9d9279a | [
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"""
Loader and Parser for the xml format.
Version: 0.01-alpha
"""
from xml.dom import minidom
from konbata.Data.Data import DataNode, DataTree
from konbata.Formats.Format import Format
def xml_toTree(file, delimiter, options=None):
"""
Function transforms a xml file into a DataTree.
Parameters
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#!/usr/env python
import pandas as pd
import os
import sys
import numpy as np
if len(sys.argv) != 3:
sys.exit('[usage] python %s <repeat_index table> <indel cutoff>')
ref_table = sys.argv[1]
indel_cut_off = int(sys.argv[2])
for gdf in pd.read_csv(ref_table, sep='\t', chunksize = 10000):
for contig, contig... | [
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# -*- coding: utf-8 -*-
"""
.. Authors:
Novimir Pablant <npablant@pppl.gov>
Define the :class:`InteractNone` class.
"""
import numpy as np
from copy import deepcopy
from xicsrt.tools.xicsrt_doc import dochelper
from xicsrt.optics._InteractObject import InteractObject | [
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print('='*30)
nome = str(input('Nome do Jogador: '))
gols = str(input('Nmero de Gols: '))
ficha(nome, gols)
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#!/usr/bin/env python
"""
ZMQ Subscriber for 1602 display
Queue: INF and CMD
"""
import wiringpi2 as wiringpi
import datetime
import time
import json
import Adafruit_DHT
import traceback
import zmq
import sys
import pprint
infoSocket = "tcp://localhost:5550"
cmdSocket = "tcp://localhost:5560"
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from typing import List, Dict
from fastapi import APIRouter, UploadFile, File, Depends, HTTPException
from pydantic import create_model
from starlette.responses import StreamingResponse
from app.business_layers.domain import Work
from app.business_layers.repository import WorkRepository
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1... | 3.152 | 250 |
from essentials_kit_management.interactors.storages.storage_interface \
import StorageInterface
from essentials_kit_management.interactors.presenters.presenter_interface \
import PresenterInterface
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