content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
#!/usr/bin/env python
from splparser.parsetree import *
from splparser.exceptions import SPLSyntaxError
from splparser.rules.common.evalfnexprrules import *
from splparser.rules.common.simplefieldrules import *
from splparser.lexers.evallexer import precedence, tokens
start = 'cmdexpr'
def p_cmdexpr_eval(p):
"... | [
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113... | 2.595855 | 193 |
from django.conf.urls import url
from .views import FAQListView
urlpatterns = [
url(r'^', FAQListView.as_view(), name='faq'),
]
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from pygame import *
from trainerbinding import *
TestTrainer()
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] | 3.35 | 20 |
# -*- coding: UTF-8 -*-
#!/usr/bin/python3
from pymycobot.mycobot import MyCobot
# Variables needed to initialize MyCobotPi
from pymycobot import PI_PORT, PI_BAUD
# Initialize MyCobotPi
mc = MyCobot(PI_PORT, PI_BAUD)
# Check if the controller is connected
if mc.is_controller_connected() != 1:
print("... | [
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#!/usr/bin/env python3
import sys
import os
import tarfile
import xml.etree.ElementTree as ET
from random import random
from contextlib import closing
from logging import warning
# Passage types to exclude from output. These are chosen to
# exclude material that could break the flow of text.
EXCLUDED_PASSAGE_TYPE ... | [
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#!/usr/bin/env python3
# Copyright 2016 The Emscripten Authors. All rights reserved.
# Emscripten is available under two separate licenses, the MIT license and the
# University of Illinois/NCSA Open Source License. Both these licenses can be
# found in the LICENSE file.
import sys
import os
from tools import buildin... | [
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... | 3.717391 | 138 |
import boto3
import os
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# -*- coding:utf-8 -*-
# coding=<utf8>
from django.db import models
STATUSES = ((0, 'OK'),
(1, 'INFO'),
(2, 'WARNING'),
(3, 'ERROR'))
# Модели для хранения статуса и сообщения к нему
#
# class Message(models.Model):
# for_status = models.ForeignKey(Status,
# ... | [
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import diskord, datetime
client = diskord.Client()
@client.event
@client.event
client.run("TOKEN")
| [
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# Generated by Django 3.2.4 on 2021-07-08 09:39
from django.db import migrations, models
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# -*- coding: UTF-8 -*-
import select
import socket
import TimeLapse
import Movie
timelapse = None
movie = None
timeLapseState = False
# @param port Port de connexion
# @param listen Nombre de connexion en attente max
# @param socket Socket sur lequelle il faut recuperer les données
# @return Donné... | [
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Aug 8 14:08:44 2018
@author: dawnstear
"""
import numpy as np
import os
from inspect import signature
import datetime
import subprocess # replaces os.system()
import pandas as pd
import tensorflow as tf
def next_batch(datamatrix,batch_size=0,buffer_s... | [
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import pygame
import numpy
import random
import copy
import sys
# Boid system from https://www.red3d.com/cwr/boids/ and http://www.kfish.org/boids/pseudocode.html
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
""" setup.py
Packaging for dax
"""
from glob import glob
import os
from setuptools import setup, find_packages
import subprocess
description = 'Distributed Automation for XNAT'
# Note: this long_description is actually a copy/paste from the top-level
# README.txt,... | [
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... | 2.623664 | 1,310 |
import nltk
import numpy as np
import six
import pdb
# the zinc grammar
gram = """smiles -> chain
atom -> bracket_atom
atom -> aliphatic_organic
atom -> aromatic_organic
aliphatic_organic -> 'B'
aliphatic_organic -> 'C'
aliphatic_organic -> 'N'
aliphatic_organic -> 'O'
aliphatic_organic -> 'S'
aliphatic_organic -> 'P'... | [
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from app import db
from app.base_model import Base
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import os
import numpy as np
import pandas as pd
import cv2
import matplotlib.pyplot as plt
%matplotlib inline
import warnings
warnings.filterwarnings('ignore')
from sklearn.model_selection import train_test_split
import itertools
from keras.preprocessing import image
from keras.preprocessing.image import ImageDataG... | [
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1... | 2.292156 | 2,129 |
import glob
import imageio
import cv2
import numpy as np
import sys
import os
n_clusters = 8
n_rodadas = 1
image = cv2.imread(sys.argv[1], cv2.IMREAD_COLOR)
rows, cols = image.shape[:2]
z = np.float32(image.reshape((-1, 3)))
criteria = (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_MAX_ITER, 10000, 1e-4)
flags = cv2.... | [
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... | 2.304348 | 345 |
import os
import re
import shutil
import time
from datetime import datetime, timedelta
import argparse
import functools
import numpy as np
import torch
from torch.nn import DataParallel
from torch.optim.lr_scheduler import StepLR
from torch.utils.data import DataLoader
from torchsummary import summary
from utils.reade... | [
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# Carlos Pedro Gonçalves (2015), Game Theory with Python
# Game Theory and Applied A.I. Classes
# Instituto Superior de Ciências Sociais e Políticas (ISCSP)
# University of Lisbon
# cgoncalves@iscsp.ulisboa.pt
#
# New Entrant vs Market Leader (payoffs correspond to strategic value)
#
# For more details see the user man... | [
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... | 3.383948 | 461 |
import json
from extractor import Node, Aggregator
import bz2
from dill import dumps, HIGHEST_PROTOCOL
| [
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] | 3.176471 | 34 |
import mobula as M
import mobula.layers as L
import numpy as np
| [
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] | 3.047619 | 21 |
import torch
import torch.nn as nn
from torch.optim.optimizer import Optimizer
from torchwisdom.core.callback import *
from torchwisdom.core.utils.data import DatasetCollector
from torchwisdom.vision.predictor import ConvClassifierPredictor
from torchwisdom.core.trainer import ClassifierTrainer
__all__ = ['ConvTraine... | [
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# -*- coding: utf-8 -*-
import numpy as np
#end def scale
#end rotate180
#end myconv2 | [
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"""
Given an array of unsorted numbers, find all unique triplets in it that add up to zero.
Example 1:
Input: [-3, 0, 1, 2, -1, 1, -2]
Output: [-3, 1, 2], [-2, 0, 2], [-2, 1, 1], [-1, 0, 1]
Explanation: There are four unique triplets whose sum is equal to zero.
Example 2:
Input: [-5, 2, -1, -2, 3]
Output: [[-5, 2, 3... | [
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from ..db import *
from ..lib import logging, error
from . import HostObject
from .element import HostElement
HostConnection.register_delete_rule(HostElement, "connection", NULLIFY) | [
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"""Lists the available voices."""
from google.cloud import texttospeech
from google.cloud.texttospeech import enums
client = texttospeech.TextToSpeechClient()
# Performs the list voices request
voices = client.list_voices()
for voice in voices.voices:
# Display the voice's name. Example: tpc-vocoded
print('N... | [
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... | 2.975945 | 291 |
# DDP LAB-3
# SOAL 1 - Gunting-Batu-Kertas
# Tuliskan program untuk Soal 1 di bawah ini
#program mencetak pesan ke layar
print("SOAL 1 - Permainan Gunting-Batu-Kertas")
#program mencetak pesan ke layar
print("------------------------------------------")
print("Ketentuan Permainan : ")
print("Player hanya dapat memas... | [
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import pylab as pl
import pandas as pd
from pathlib import Path
import numpy as np
root_path = Path("/Users/arminbahl/Desktop/mutant_behavior_data/dot_motion_coherence/chrna2a")
df_extracted_features = pd.read_hdf(root_path / "all_data.h5", key="extracted_features")
df_extracted_binned_features = pd.read_hdf(root_pat... | [
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# Plot the csphoneix continuum
# 30/07/2018 by Zhisong Qu
#
# Usage:
# python plot_csp.py csp_file omega_min omega_max gamma_min gamma_max
# Inputs:
# csp_file : the csp spectrum file name
# omega_min : the min omega to plot (default=-2.0)
# omega_max : max (default= 2.0)
# gamma_min :... | [
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3... | 2.096629 | 1,335 |
"""
Defines all types in the variable-free language for the WikiTablesQuestions dataset defined in the
following paper by Liang et al. (2018)
Memory Augmented Policy Optimization for Program Synthesis with Generalization.
"""
from allennlp.semparse.type_declarations.type_declaration import (NamedBasicType, Com... | [
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3303,
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262,
13078,
51,
2977,
35741,
27039,
5447,
287,
262,
201,
198,
27780,
278,
3348,
416,
43322,
2123,
435,
13,
357,
7908,
8,
201,
198,
30871,
2447,
12061,
7820,
... | 2.22623 | 4,575 |
#!/usr/bin/env python
try:
from setuptools import setup, find_packages
except ImportError:
from distutils.core import setup
setup(name="chirun",
description="Produce flexible and accessible course notes, in a variety of formats, using LaTeX or Markdown source",
version="0.7.0",
author="E-Lear... | [
2,
48443,
14629,
14,
8800,
14,
24330,
21015,
198,
28311,
25,
198,
220,
220,
220,
422,
900,
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11,
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62,
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12331,
25,
198,
220,
220,
220,
422,
1233,
26791,
13,
7295,
1330,
9058,
198,
... | 1.747126 | 870 |
# https://www.geeksforgeeks.org/how-to-sort-an-array-in-a-single-loop/
if __name__ == "__main__":
# Declaring an integer array of size 11.
arr = [1, 2, 99, 9, 8,
7, 6, 0, 5, 4, 3]
# Printing the original Array.
print("Original array: ", arr)
# Sorting the array using a single ... | [
198,
2,
3740,
1378,
2503,
13,
469,
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30293,
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13,
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12,
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12,
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12,
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12,
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12,
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12,
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12,
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14,
628,
628,
198,
361,
11593,
3672,
834,
6624,
366,
834,
12417,
834,
1298,
... | 2.353933 | 178 |
'''
Author : Bhishm Daslaniya [17CE023]
"Make it work, make it right, make it fast."
– Kent Beck
'''
import requests
from bs4 import BeautifulSoup
#open the web site Vanity fair
url = 'http://www.vanityfair.com/society/2014/06/monica-lewinsky-humiliation-cult... | [
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6,
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220,
220,
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11,
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340,
826,
11,
787,
340,
3049,
526,
220,
198,
220,
220,
220,
220,
... | 2.216981 | 212 |
import torch
import torchvision
import torchvision.transforms as transforms
from torch.utils.data import DataLoader
from .pose_config import config as pose_config
from .pose_resnet import get_pose_net
import os
import cv2
import math
import numpy as np
def get_max_preds(batch_heatmaps):
'''
get predictions ... | [
11748,
28034,
198,
11748,
28034,
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198,
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28034,
10178,
13,
7645,
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28034,
13,
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13,
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6738,
764,
3455,
62,
11250,
1330,
4566,
355,
12705,
62,
11250,
198,
6738,
... | 2.290158 | 4,115 |
import functools
try:
import simplejson as json
except ImportError:
import json
import logging
import string
from jsonschema import RefResolver
from jsonschema.validators import Draft4Validator
from pkg_resources import resource_filename
from six import iteritems
from swagger_spec_validator import ref_validat... | [
11748,
1257,
310,
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25,
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220,
220,
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12331,
25,
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18931,
198,
11748,
4731,
198,
198,
6738,
44804,
684,
2395,
2611,
1330... | 2.628611 | 3,635 |
"""Unit tests for special orthogonal group SO(3)."""
import warnings
import tests.helper as helper
import geomstats.backend as gs
import geomstats.tests
from geomstats import algebra_utils
from geomstats.geometry.special_orthogonal import SpecialOrthogonal
EPSILON = 1e-5
ATOL = 1e-5
| [
37811,
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5254,
329,
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7,
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4903,
296,
34242,
13,
1891,
437,
355,
308,
82,
198,
11748,
... | 3.052632 | 95 |
#!/usr/bin/env python3
# Write a program that compares two files of names to find:
# Names unique to file 1
# Names unique to file 2
# Names shared in both files
"""
python3 checklist.py --file1 --file2
"""
| [
2,
48443,
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14,
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352,
198,
2,
197,
36690,
3748,
284,
2393,
362,
198,
2,
197,
3669... | 3.166667 | 66 |
# Parallel simulation environment interfaces
import gym
import multiprocessing as mp
try:
import cv2
except:
pass
import numpy as np
| [
2,
42945,
18640,
2858,
20314,
198,
198,
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11550,
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198,
198,
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25,
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220,
220,
220,
1330,
269,
85,
17,
198,
16341,
25,
198,
220,
220,
220,
1208,
198,
11748,
299,
32152,
355,
4... | 3.222222 | 45 |
# The MIT License (MIT)
#
# Copyright (c) 2016 Petr Fejfar
#
# 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 rights
# to use, copy, modif... | [
2,
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2,
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2,
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66,
8,
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5452,
73,
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198,
2,
198,
2,
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318,
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7520,
11,
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286,
3877,
11,
284,
597,
1048,
16727,
257,
4866,
198,
2,
286,
428,
378... | 3.810631 | 301 |
import numpy as np
import scipy.io
from glob import glob
import pandas
import os
if "b_rt" not in glob("*") or "n_rt" not in glob("*"):
exit("Error, please download the data from "
"https://shadlenlab.columbia.edu/resources/RoitmanDataCode.html "
"and copy this script into the extracted zip file ... | [
11748,
299,
32152,
355,
45941,
198,
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629,
541,
88,
13,
952,
198,
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1330,
15095,
198,
11748,
19798,
292,
198,
11748,
28686,
198,
198,
361,
366,
65,
62,
17034,
1,
407,
287,
15095,
7203,
9,
4943,
393,
366,
77,
62,
1703... | 2.638095 | 735 |
"""
过滤器本质是函数
自定义过滤器步骤
1.自定义一个python函数去实现业务逻辑
2.通过app对象将函数添加到系统过滤器中
3.使用自定义过滤器
"""
# 1.自定义一个python函数去实现业务逻辑
from flask import session,current_app,jsonify,g
from info.response_code import RET
import functools
"""
需求:查询当前登陆用户对象的代码在多个视图函数都需要使用,我们可以用装饰器将其封装起来
view_func ,被装饰的函数名称
问题:装饰器会改变被装饰的视图函数的名称
方案:functools_wrap... | [
37811,
198,
32573,
229,
162,
119,
97,
161,
247,
101,
17312,
105,
164,
112,
101,
42468,
49035,
121,
46763,
108,
198,
164,
229,
103,
22522,
248,
20046,
231,
32573,
229,
162,
119,
97,
161,
247,
101,
29826,
98,
165,
103,
97,
198,
16,
... | 0.846348 | 397 |
loss = dict(
type='IntraWeightedBCEWithLogits',
loss_weight=1.0,
)
| [
22462,
796,
8633,
7,
198,
220,
220,
220,
2099,
11639,
5317,
430,
25844,
276,
2749,
36,
3152,
11187,
896,
3256,
198,
220,
220,
220,
2994,
62,
6551,
28,
16,
13,
15,
11,
198,
8,
198
] | 2.142857 | 35 |
from typing import Dict, Any
from unittest import TestCase
from server import app
from flask.testing import FlaskClient
from werkzeug.test import TestResponse
from tests.test_firebaser import get_id_token
| [
6738,
19720,
1330,
360,
713,
11,
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198,
6738,
555,
715,
395,
1330,
6208,
20448,
198,
6738,
4382,
1330,
598,
198,
6738,
42903,
13,
33407,
1330,
46947,
11792,
198,
6738,
266,
9587,
2736,
1018,
13,
9288,
1330,
6208,
31077,
198,
6738,
... | 3.745455 | 55 |
import time
import hmac
import hashlib
import base64
from typing import Dict
| [
11748,
640,
198,
11748,
289,
20285,
198,
11748,
12234,
8019,
198,
11748,
2779,
2414,
198,
6738,
19720,
1330,
360,
713,
628
] | 3.714286 | 21 |
import math
import cv2
import numpy as np
| [
11748,
10688,
198,
11748,
269,
85,
17,
198,
11748,
299,
32152,
355,
45941,
628,
628,
628
] | 2.9375 | 16 |
# Copyright 2021 Huawei Technologies Co., Ltd
#
# 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... | [
2,
15069,
33448,
43208,
21852,
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198,
2,
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2,
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262,
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11,
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362,
13,
15,
357,
1169,
366,
34156,
15341,
198,
2,
345,
743,
407,
779,
428,
2393,
2845,
287,
11846,
351,
262,
13789,
13,
198... | 4.093137 | 204 |
# -*- coding: utf-8 -*-
#
'''
Allows using DOLFIN's indented block messages with 'with', i.e.,
with Message('hello world'):
# do something
'''
from dolfin import begin, end
| [
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
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2,
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6,
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338,
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351,
705,
4480,
3256,
1312,
13,
68,
1539,
628,
220,
220,
220,
351,
16000,
10786,
31373... | 2.597222 | 72 |
# -*- coding: utf-8 -*-
import logging
from django import template
register = template.Library()
logger = logging.getLogger(__name__)
try:
from django.template.defaultfilters import truncatechars
except ImportError: # We're on Django < 1.4, fake a simple one ...
logger.info("truncatechars template filter not ... | [
2,
532,
9,
12,
19617,
25,
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69,
12,
23,
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9,
12,
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198,
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1330,
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198,
30238,
796,
11055,
13,
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3419,
198,
198,
6404,
1362,
796,
18931,
13,
1136,
11187,
1362,
7,
834,
3672,
834,
... | 2.976331 | 169 |
import sys
import pygame
from pygame.locals import *
from gfx import *
from character import *
## Main Loop
## Event Handler
## Key Up Event
## Key Up Event
## Key Press Event
## Mouse Move Event
if __name__ == '__main__':
pygame.init()
Game(60)
pygame.quit()
sys.exit()
| [
11748,
25064,
201,
198,
11748,
12972,
6057,
201,
198,
6738,
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13,
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874,
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201,
198,
6738,
308,
21373,
1330,
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201,
198,
6738,
2095,
1330,
1635,
201,
198,
201,
198,
201,
198,
197,
2235,
8774,
26304,
201,
... | 2.365672 | 134 |
# Importing essential libraries
from flask import Flask, render_template, request
import numpy as np
import joblib
# Load the Random Forest CLassifier model
filename = 'heart_attack_prediction_rfc_model.pkl'
scaler_name = 'scaler.pkl'
classifier = joblib.load(filename)
scaler = joblib.load(scaler_name)
app... | [
2,
17267,
278,
6393,
12782,
201,
198,
6738,
42903,
1330,
46947,
11,
8543,
62,
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11,
2581,
201,
198,
11748,
299,
32152,
355,
45941,
201,
198,
11748,
1693,
8019,
201,
198,
201,
198,
2,
8778,
262,
14534,
9115,
7852,
562,
7483,
2746,... | 2.574297 | 249 |
"""
# @Author: chang_an
# @Date: 2019-12-21 09:25:37
# @LastEditors: chang_an
# @LastEditTime: 2019-12-21 09:28:55
# @FilePath: \calculator2.1.0\calculation\packages\calculator_standard_science.py
"""
import math
def standard_science_calc(event, text):
"""[标准型和科学型计算过程的实现]
Arguments:
event ... | [
198,
37811,
198,
1303,
2488,
13838,
25,
1488,
62,
272,
198,
1303,
2488,
10430,
25,
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12,
1065,
12,
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25,
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62,
272,
198,
1303,
2488,
5956,
18378,
7575,
25,
13... | 1.703623 | 1,380 |
#
# @lc app=leetcode id=930 lang=python3
#
# [930] Binary Subarrays With Sum
#
# @lc code=start
# @lc code=end
| [
2,
198,
2,
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44601,
598,
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316,
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2,
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60,
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2080,
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2,
198,
198,
2,
2488,
44601,
2438,
28,
9688,
198,
2,
2488,
44601,
2... | 2.354167 | 48 |
import json
from sure import expect
from tests.integration import VCRIntegrationTest, vcr
| [
11748,
33918,
198,
198,
6738,
1654,
1330,
1607,
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13,
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1358,
1330,
569,
9419,
34500,
1358,
14402,
11,
410,
6098,
628
] | 3.72 | 25 |
# -*- coding: utf-8 -*-
"""
Created on Mon Sep 10 10:41:40 2018
@author: robot
"""
import readCfg.read_cfg as rd
import numpy as np
if __name__ == '__main__':
print('wtf')
resPlan = ResucePlan(cfgFileName = './/data//1_8_8_3_Cfg.dat')
| [
2,
532,
9,
12,
19617,
25,
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69,
12,
23,
532,
9,
12,
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198,
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319,
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838,
838,
25,
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25,
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25,
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198,
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628,
198,
11748,
1100,
34,
40616,
13,
961,
62,
37581,... | 1.903226 | 155 |
# -*- coding:utf-8 -*-
from rest_framework import serializers
from uploaddemo.models import Airticle
| [
2,
532,
9,
12,
19617,
25,
40477,
12,
23,
532,
9,
12,
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1334,
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198,
6738,
9516,
9536,
78,
13,
27530,
1330,
317,
2265,
1548,
628
] | 3.1875 | 32 |
# flake8: noqa
from .transmitter import *
| [
2,
781,
539,
23,
25,
645,
20402,
198,
6738,
764,
7645,
37974,
1330,
1635,
198
] | 2.8 | 15 |
import pandas as pd
import itertools
def summarize(results):
""" Concatenate results and summarize """
results = pd.DataFrame(results)
asex = pd.concat(
[results['asex_stages'].explode(), results['asex_images'].explode()],
axis=1).reset_index(drop=True).dropna()
asex.sort_values('asex_... | [
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19798,
292,
355,
279,
67,
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11748,
340,
861,
10141,
628,
198,
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7,
43420,
2599,
198,
220,
220,
220,
37227,
1482,
9246,
268,
378,
2482,
290,
35743,
37227,
198,
220,
220,
220,
2482,
796,
279,
67,
13,
6601,
19778,
... | 2.169118 | 408 |
import argparse
def get_input_args():
"""
Uses argparse lib to parse command line arguments from user. Returns parse_args() object
"""
parser = argparse.ArgumentParser()
parser.add_argument('data_directory',
help = 'absolute path of to-be-trained folder')
pa... | [
11748,
1822,
29572,
198,
198,
4299,
651,
62,
15414,
62,
22046,
33529,
198,
220,
220,
220,
37227,
198,
220,
220,
220,
220,
220,
220,
220,
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1822,
29572,
9195,
284,
21136,
3141,
1627,
7159,
422,
2836,
13,
16409,
21136,
62,
22046,
3... | 2.323569 | 751 |
# Imports: standard library
import os
import copy
import math
import logging
import warnings
import itertools
# Imports: third party
import numpy as np
import matplotlib as mpl
from scipy import stats, linalg
from matplotlib import pyplot as plt
from scipy.spatial import distance
from tqdm.notebook import tqdm as log_... | [
2,
1846,
3742,
25,
3210,
5888,
198,
11748,
28686,
198,
11748,
4866,
198,
11748,
10688,
198,
11748,
18931,
198,
11748,
14601,
198,
11748,
340,
861,
10141,
198,
198,
2,
1846,
3742,
25,
2368,
2151,
198,
11748,
299,
32152,
355,
45941,
198,
... | 3.064516 | 248 |
from logging_utils import info, debug, ONLY_MESSAGE_FORMAT
import logging
import threading
import requests
from random import randint
from concurrent.futures import Future
logging.basicConfig(level=logging.DEBUG, format=ONLY_MESSAGE_FORMAT)
if __name__ == "__main__":
future = generate_request(f"https://pokeapi.co... | [
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198,
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4738,
1330,
43720,
600,
198,
6738,
24580,
13,
69,
315,
942,
13... | 2.740196 | 204 |
import torch
| [
11748,
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628
] | 4.666667 | 3 |
# coding=utf-8
from setuptools import setup, find_packages
setup(
name='cbake',
version='0.1.0',
py_modules=['cbake'],
packages=find_packages(),
include_package_data=True,
install_requires=[
'Click',
'pychalk',
'pyyaml'
],
package_data={'': ['*.txt'... | [
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28,
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220,
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15,
13,
1... | 1.987654 | 243 |
from pecan import expose, request
from pecan.rest import RestController
from smiley.presentation import syntax
from smiley.web import nav
from smiley.web.controllers import run_context
| [
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... | 3.895833 | 48 |
# vFabric Administration Server API
# Copyright (c) 2012 VMware, Inc. 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
... | [
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2,
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... | 1.929167 | 1,920 |
# Copyright 2020 Google LLC
#
# 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, ... | [
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351,
262,
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13,
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2,
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743,
733... | 2.977077 | 698 |
import os.path as op
from nose.tools import assert_true
from numpy.testing import assert_array_almost_equal
from .. import Raw, pick_types, pick_channels
fif_fname = op.join(op.dirname(__file__), 'data', 'test_raw.fif')
ctf_fname = op.join(op.dirname(__file__), 'data', 'test_ctf_raw.fif')
def test_io_raw():
""... | [
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6738,
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1330,
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11,
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62,
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11,
2298... | 1.976451 | 1,189 |
from rest_framework.pagination import LimitOffsetPagination
| [
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] | 3.368421 | 19 |
#!/usr/bin/python
# Wflow is Free software, see below:
#
# Copyright (c) J. Schellekens/Deltares 2005-2011
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or... | [
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2,
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2,
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1... | 3.052444 | 1,125 |
# app/movies/urls.py
from django.urls import path
from .views import MovieDetail, MovieList
urlpatterns = [
path("api/movies/", MovieList.as_view()),
path("api/movies/<int:pk>/", MovieDetail.as_view()),
]
| [
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220,
220,
220,
... | 2.4 | 90 |
import sys
import pyparsing as pp
pp.ParserElement.setDefaultWhitespaceChars(" \t")
SOL = pp.Suppress(pp.LineStart()).setName("START_OF_LINE")
EOL = pp.Suppress(pp.LineEnd()).setName("END_OF_LINE")
EMPTY_LINES = pp.Suppress(pp.OneOrMore(pp.LineEnd())).setName("EMPTY_LINES")
REAL = pp.Combine(
pp.Optional(pp.o... | [
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7,
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1... | 2.18145 | 1,973 |
#set laser power
#take pd reading
#repeat, end up with function mapping laser power to pd reading
#set laser power to max
#set AOM amplitude
#take PD reading
#repeat, end up with function mapping aom amplitude to pd reading
#combine functions, get function mapping aom amplitude to laser power
import sys
sys.path.a... | [
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20657... | 2.306138 | 1,336 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Sep 30 17:05:23 2018
@author: user
"""
| [
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3781... | 2.326087 | 46 |
# Time: set: O(1)
# get: O(logn)
# Space: O(n)
# 981
# Create a timebased key-value store class TimeMap, that supports two operations.
#
# 1. set(string key, string value, int timestamp)
# Stores the key and value, along with the given timestamp.
# 2. get(string key, int timestamp)
# Returns a value such that... | [
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3... | 3.018868 | 318 |
from setuptools import setup, find_packages
with open("README.md", "r") as f:
long_description = f.read()
setup(
name='specqp',
version='1.1.5',
description='Quick plotting, correcting and fitting of spectroscopic data',
long_description=long_description,
long_description_content_typ... | [
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7,
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... | 2.312883 | 489 |
#!/usr/bin/python
#
# funclat Display a cummulative histogram of functions' latencies.
#
# USAGE: funclat [-v] [-p PID [PID ...]] [-m THRESHOLD] [-u]
# [-i INTERVAL] PATH_TO_LIBRARY FUNC1,FUNC2,...
#
# Written as a basic example of getting cummulative latency of functions in a program
from bcc im... | [
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6,
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13,
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2,
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2,
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11879,
25,
1257,
565,
265,
2... | 2.635264 | 1,157 |
# Title: data_view.py
# Project: Chalokwa Battery Analysis
# Author: Lane D. Smith
# Date Last Edited: December 14, 2020
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import rc
from matplotlib.dates import DateFormatter
import matplotlib.dates as mdates
import pandas as pd
from pandas.plotting imp... | [
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... | 2.45102 | 2,940 |
import spatial
import general
import geometry
import filters
import servicedef
import find
__version__ = "2.0.120" | [
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17,
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1
] | 3.677419 | 31 |
n = int(input())
a, b = input().split()
for i in range(n):
print(a[i], end='')
print(b[i], end='')
print()
| [
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28,
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7,
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58... | 2.052632 | 57 |
import matplotlib.pyplot as plt
import matplotlib.patches as patches
import skimage.io
import numpy as np
def boxes(script, img_anno, figsize=(15,15), fontsize=15, label_offset=(0,15)):
'''Draw bboxes on into an matplotlib figures
Args:
script (lost.pyapi.script.Script): The script object that uses t... | [
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1... | 1.991257 | 2,402 |
from keras.layers.core import Layer
import tensorflow as tf
class SpatialTransformLayer(Layer):
"""Spatial Transformer Layer
Implements a spatial transformer layer as described in [1]_.
Borrowed from [2]_:
downsample_fator : float
A value of 1 will keep the orignal size of the image.
Va... | [
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220,
220,
37227,
4561,
34961,
3602,
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198,
220,
220,
220,... | 2.633721 | 344 |
#! /usr/bin/env python
import matplotlib.colors as mc
import numpy as np
import re
| [
2,
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628
] | 2.833333 | 30 |
from nider.core import Font
from nider.core import Outline
from nider.models import Content
from nider.models import Header
from nider.models import Image
# TODO: change this fontpath to the fontpath on your machine
roboto_font_folder = '/home/ovd/.local/share/fonts/Roboto/'
text_outline = Outline(1, '#efefef')
he... | [
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62... | 2.391076 | 381 |
#!/usr/bin/env python
import os
import sys
if 'Hello' != sys.argv[1]:
print "messages doesnt match! |%s|" % (sys.argv[1])
sys.exit(1)
sys.exit(0)
| [
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... | 2.166667 | 72 |
# -*- coding: utf-8 -*-
'''
This module implements :class:`BaseSignal`, an array of signals.
This is a parent class from which all signal objects inherit:
:class:`AnalogSignal` and :class:`IrregularlySampledSignal`
:class:`BaseSignal` inherits from :class:`quantities.Quantity`, which
inherits from :class:`numpy.ar... | [
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1... | 2.388618 | 4,516 |
import xml.etree.ElementTree as ET
import glob, os, sys, shutil
from datetime import datetime, timedelta
import urllib, urllib2
import urlparse
import platform, subprocess, re
import imp
import sharppy.io.decoder as decoder
import utils.frozenutils as frozenutils
HOME_DIR = os.path.join(os.path.expanduser("~"), ".sh... | [
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198,
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11,
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297,
571,
17,
198,... | 2.58457 | 337 |
import asyncio
import re
import aiohttp
import discord
import orjson
import uvloop
from discord.ext import commands
from jamdict import Jamdict
jam = Jamdict()
| [
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168... | 2.633803 | 71 |
import random
n1 = input('Nome do 1°aluno: ')
n2 = input('Nome do 2°aluno: ')
n3 = input('Nome do 3°aluno: ')
n4 = input('Nome do 4°aluno: ')
nomes = [n1, n2, n3, n4,]
random.shuffle(nomes)
print('-----ORDEM DO SORTEIO-----')
print('O sorteio chegou ao fim!')
print('A ordem para apresentar o trabalho é:')
print(nomes)... | [
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7200,... | 2.175325 | 154 |
from abc import ABC, abstractmethod
from mcdc.point import Point
# =============================================================================
# Particle
# =============================================================================
# ======================================================================... | [
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25... | 8.019231 | 52 |
#!/usr/bin/env python3
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
import pyfiglet
import logging
import datetime
import base64
if __name__ == "__main__":
main() | [
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"""The unittest module for the admin blueprint.
"""
import unittest
from urllib.parse import urlparse
from flask_login import current_user
from app import create_app, db
from app.models.administrator import Administrator
from app.models.review_status import ReviewStatus
class AdminBlueprintTestCase(unittest.TestCas... | [
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198,
6738,
42903,
62,
38235,
1330,
1459,
62,
7220,
198,
198,
6738,
598,... | 2.180297 | 1,076 |
import sqlite3
with sqlite3.connect("sample.db") as connection:
c = connection.cursor()
c.execute("DROP TABLE posts")
c.execute("CREATE TABLE posts(title TEXT, description TEXT)")
c.execute('INSERT INTO posts VALUES("GOOD", "I\'m good.")')
c.execute('INSERT INTO posts VALUES("Well", "T\'m well.")') | [
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... | 2.878505 | 107 |
A, B = map(int, input().split())
print("error" if A+B >= 10 else A+B)
| [
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] | 2.413793 | 29 |
from repair.repair_classes.if_apc import IF_APC_Repair
from repair.repair_classes.sq_rmo import SQ_RMO_Repair
from repair.repair_classes.sq_rfo import SQ_RFO_Repair
from repair.repair_classes.if_rmv import IF_RMV_Repair
from repair.repair_classes.if_cc import IF_CC_Repair
from repair.repair_classes.if_apc import IF_APC... | [
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4993... | 2.786517 | 178 |
from .main_cls import RomanNumeralConverter
print("Roman Numeral Converter imported.") | [
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] | 3.73913 | 23 |
# -*- coding: utf-8 -*-
'''
Copyright (C) 2014 walker li <walker8088@gmail.com>
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later versio... | [
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46... | 3.340067 | 297 |
################################################################
#
# TWEEZO - A set of utility scripts for scraping tweets,
# processing them and performing analysis
#
# Developed to support a series of labs and assignments for
# the CEU Digital Tools course for BA students in the
# 2021-21 academic year.
#
#... | [
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... | 2.883333 | 5,160 |
# -*- coding: utf-8 -*-
# @Author: 何睿
# @Create Date: 2019-09-02 07:41:16
# @Last Modified by: 何睿
# @Last Modified time: 2019-09-02 07:55:03
| [
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... | 1.771739 | 92 |
# -*- coding: UTF-8 -*-
"""
Author:wistn
since:2020-09-11 18:44:30
LastEditors:Do not edit
LastEditTime:2021-04-13
Description:
"""
import asyncio
import re
import traceback
from .android_util_Log import Log
from .org_noear_sited_Util import Util
from .org_noear_sited_SdAttributeList import SdAttributeList
from .mytool... | [
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from PIL import Image
im = Image.open("naruto_first.png").convert("RGB")
im.save("naruto.jpg", "jpeg")
| [
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] | 2.6 | 40 |