content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
import csv
import codecs
if __name__ == '__main__':
main()
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# -*- Python -*-
# This file is licensed under a pytorch-style license
# See frontends/pytorch/LICENSE for license information.
import torch
import npcomp.frontends.pytorch as torch_mlir
import npcomp.frontends.pytorch.test as test
# RUN: %PYTHON %s | FileCheck %s
model = torch.nn.LogSoftmax(dim=1)
tensor = torch.ra... | [
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#!/usr/bin/env python3
import pathlib
import sys
import subprocess
pattern = sys.argv[1]
for log in pathlib.Path(".").glob(pattern):
print(log)
basename = log.stem
plot_name = "{}.pdf".format(basename)
log_plot_name = "{}-log.pdf".format(basename)
if not pathlib.Path(plot_name).exists():
su... | [
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from cache_utility import cacheUtility
from nltk import ngrams
from nltk.tokenize import word_tokenize
from nltk.corpus import stopwords
import string
import os
from tika import parser
#Support for podcast, machine learning, dialogue
#Function to return the text from all of the true transcripts
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#!/usr/bin/env python
# coding: utf-8
import matplotlib
# matplotlib.use('Agg')
import sys
import numpy as np
import glob
import pypianoroll as ppr
import time
import music21
import os
import argparse
import torch
import torch.utils.data
from torch import nn, optim
from torch.nn import functional as F
from utils.utils... | [
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import sys, traceback
# reload(sys)
# sys.setdefaultencoding('utf-8')
from PyQt5 import QtCore, QtGui, QtWidgets
import datetime
import pyqtgraph as pg
import tushare as ts
import numpy as np
df = ts.get_hist_data('sh',start='2019-01-01',end='2027-12-01').sort_index()
data = df.close.tolist()
# 主窗口类
# 运行函数
if __nam... | [
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# Callan M Keller
# Fall 2019
#
# Computer Organization
# Experimenting with Wav
import numpy as np
import wave
import file_io_wav as wavRW
import matplotlib.pyplot as plt
## NOTE: to visualize wav data: plt.plot(data)
#read .wav file as numpy array
# Reduce amplitude of sound in file by half
#... | [
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
__author__ = 'ipetrash'
if __name__ == '__main__':
JSON_FORM_DATA = {
"add": [
{
"source_name": "WEB сайт",
"source_uid": "a1fee7c0fc436088e64ba2e8822ba2b3",
"created_at": "1529007000",
... | [
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... | 1.254678 | 1,924 |
'''
Author: Karan Sharma
Probleum:
Page 28 at [link]
'''
import hashlib as hasher
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from threading import Thread, Event
from datetime import datetime, timedelta
from mininet.log import lg
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"""
Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
SPDX-License-Identifier: MIT-0
"""
from cfnlint.rules import CloudFormationLintRule
from cfnlint.rules import RuleMatch
import cfnlint.helpers
from cfnlint.data import AdditionalSpecs
class UpdateReplacePolicyDeletionPolicyOnStatefulResourceTypes(... | [
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... | 2.699387 | 815 |
from enum import Enum
from .english import english_words
from .french import french_words
from .spanish import spanish_words
dictionaries = {
Languages.ENGLISH.value: english_words,
Languages.FRENCH.value: french_words,
# 92 words contain 5 characters and end with '-'. I don't know what this is.
Lan... | [
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220,... | 3.125984 | 127 |
from django.utils import timezone
| [
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] | 3.6 | 10 |
import numpy as np
from typing import NamedTuple
import sys
sys.path.append("..")
from bearx.tensor import Tensor
Batch = NamedTuple("Batch", [("inputs", Tensor), ("targets", Tensor)])
| [
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'''
@Author: fxm
@Date: Dec 27, 2020.
@Title: Nnet class.
'''
import os
import time
import argparse
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import numpy as np
from torchvision import datasets, transforms
from torch.autograd import Variable
from tqdm im... | [
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# coding: utf-8
__author__ = 'Sandro Vega Pons : https://www.kaggle.com/svpons'
import numpy as np
import pandas as pd
from sklearn.preprocessing import LabelEncoder
from sklearn.linear_model import SGDClassifier
from sklearn.ensemble import RandomForestClassifier
from sklearn.neighbors import KNeighborsClassifier
fro... | [
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import rospy
import subprocess
from os import path
from visualization_msgs.msg import Marker
from visualization_msgs.msg import MarkerArray
from numpy import inf
import numpy as np
import random
import math
from gazebo_msgs.msg import ModelState
from squaternion import Quaternion
from geometry_msgs.msg import Twist
fro... | [
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... | 3.473088 | 353 |
from beet import Context, Function, sandbox
from beet.contrib.render import render
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"""
Time In Profile Pic.....
Command: `.bloom`
Hmmmm U need to config DOWNLOAD_PFP_URL_CLOCK var in Heroku with any telegraph image link
⚠️DISCLAIMER⚠️
USING THIS PLUGIN CAN RESULT IN ACCOUNT BAN. WE DONT CARE ABOUT BAN, SO WE ARR USING THIS.
"""
import asyncio
import os
import random
import shutil
from datetime impor... | [
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#!/usr/bin/env python
from gimpfu import *
from miasmata_gimp import *
font = Font('Georgia', 84.0, False)
max_font_size = 84.0
max_width = 350
# Alternate close match:
# font = Font('Century Schoolbook L Bold', 73.0, True)
# status_size = 84.0
# notes_size = 78.0
# lab_size = 61.0
register(
"miasmata_journal_t... | [
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9806... | 2.55132 | 341 |
import json
from os.path import join, dirname
from watson_developer_cloud import VisualRecognitionV1Beta as VisualRecognition
visual_recognition = VisualRecognition(username='YOUR SERVICE USERNAME',
password='YOUR SERVICE PASSWORD')
print(json.dumps(visual_recognition.labels(),... | [
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1... | 2.610577 | 208 |
# store_data_file.py - Process JSON files from AWS S3 to PostgreSQL Database
# forked from Joinville Smart Mobility Project and Louisville WazeCCPProcessor
# modified by Bryan.Blackford@lacity.org for City of Los Angeles CCP
# Database Config - fill in the details for your database here:
DATABASE = {
'drivername': "po... | [
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1... | 2.561488 | 1,667 |
from django import template
register = template.Library()
@register.filter
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# ------------------------
# Tom Aarsen - s1027401
# Bart Janssen - s4630270
# ------------------------
CLIENT_IP = 'localhost'
CLIENT_PORT = 20000
SERVER_IP = 'localhost'
SERVER_PORT = 30000
HEADER_SIZE = 10
PAYLOAD_SIZE = 1008
SEGMENT_SIZE = HEADER_SIZE + PAYLOAD_SIZE | [
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# -*- coding: utf-8 -*-
#
# Copyright (C) 2006-2020 Edgewall Software
# All rights reserved.
#
# This software is licensed as described in the file COPYING, which
# you should have received as part of this distribution. The terms
# are also available at https://trac.edgewall.org/wiki/TracLicense.
#
# This soft... | [
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from .app import Application
from .app_set import ApplicationSet
from .policy import PolicyContext
from .policy_rule import PolicyRule
from .zone import Zone
from .shared_ab import SharedAddrBook
from .zone_ab import ZoneAddrBook
from .ab_finder import AddrBookFinder
| [
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6... | 3.774648 | 71 |
import chainer
from chainer import functions as F
import chainer.links as L
import sys
import os
from chainer_chemistry.models import GGNN
from chainer_chemistry.models import NFP
from chainer_chemistry.models import SchNet
from chainer_chemistry.models import WeaveNet
sys.path.append(os.path.dirname(__file__))
from ... | [
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... | 2.646489 | 413 |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
from... | [
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"""
Game of trying to mimic logic gates.
"""
import numpy as np
from spikey.module import Key
from spikey.games.template import RL
# Top level for pickle friendliness
class Logic(RL):
"""
Game of trying to mimic logic gates.
Parameters
----------
preset: str=PRESETS.keys(), default="OR"
... | [
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# -*- coding: utf-8 -*-
# Copyright Noronha Development Team
#
# 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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198,
198,
2,
15069,
5414,
261,
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198,
2,
198,
2,
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739,
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24843,
13789,
11,
10628,
362,
13,
15,
357,
1169,
366,
34156,
15341,
198,
2,
345,
743,
40... | 3.52349 | 298 |
import tensorflow as tf
from model.layers.coordconv import CoordConv2D
class PredictionHead(tf.keras.layers.Layer):
"""
Prediction head for SOLO network
"""
def __init__(self, num_class, grid_sizes, image_size, head_depth=8, num_channel=256, head_style='vanilla', **kwargs):
"""Prediction head ... | [
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1... | 1.973985 | 1,922 |
FLAG = 'flag{xxxxxxxxxxxxxxxxxxxxxx}' | [
38948,
796,
705,
32109,
90,
24223,
24223,
12343,
5324,
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6
] | 3.363636 | 11 |
import torch
import torch.nn as nn
import torch.nn.functional as F
| [
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] | 3.4 | 20 |
# Copyright © 2019 National Institute of Advanced Industrial Science and Technology （AIST）. All rights reserved.
from datetime import datetime, timedelta, timezone
from requests import post, get
from pathlib import Path
import json
from injector import singleton
import os
import shutil
from distutils.dir_util import re... | [
2,
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1... | 3.586563 | 387 |
"""setup tools for GDX Analytics microservices
"""
from setuptools import setup, find_packages
setup(name='microservices', version='1.0', packages=find_packages())
| [
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16,
13,
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28,
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62,... | 3.75 | 44 |
import numpy as np
import torch
from torch.autograd import Variable
from helpers.utils import progress_bar
# Train function
# train function in a teacher-student fashion
# Test function
| [
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... | 3.86 | 50 |
#!/usr/bin/python
"""
(c) 2018-2021, NetApp, Inc
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
"""
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': '1.1',
'status': ['pre... | [
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... | 2.317571 | 1,861 |
"""
[STEPIK]
Python: основы и применение https://stepik.org/512
01_06_01 Наследование классов
"""
"""
Вам дано описание наследования классов в следующем формате.
<имя класса 1> : <имя класса 2> <имя класса 3> ... <имя класса k>
Это означает, что класс 1 отнаследован от класса 2, класса 3, и т. д.
Или эквивалентно зап... | [
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6... | 1.127029 | 1,787 |
#!/usr/bin/env python3
#
# Zadanie Q1
# Kamil Cieślik
# 20.04.2018 11:15 TP
#
import os
import sys
if sys.argv.__len__() != 3:
print("Skrypt należy uruchomić z dwoma parametremi (ścieżka do katalogu, lista plików).")
sys.exit(1)
dir_path = sys.argv[1]
if not os.path.isdir(dir_path):
print("Katalog o ście... | [
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1367,
25,
1314,
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198,
2,
198,
198,
11748,
28686,
... | 1.903353 | 1,014 |
from manpy.simulation.imports import (
Machine,
Source,
Exit,
Part,
Frame,
Assembly,
Failure,
)
from manpy.simulation.Globals import runSimulation
# define the objects of the model
Frame.capacity = 4
Sp = Source(
"SP", "Parts", interArrivalTime={"Fixed": {"mean": 0.5}}, entity="manpy.Pa... | [
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11,
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220,
220,
220,
2142,
11,
198,
220,
220,
220,
25184,
11,
198,
220,
220,
... | 2.564246 | 358 |
"""
Django settings for config project.
Generated by 'django-admin startproject' using Django 2.0.6.
For more information on this file, see
https://docs.djangoproject.com/en/2.0/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.0/ref/settings/
"""
import os
# ... | [
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13,
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198,
1890,
517,
1321,
319,
428,
2393,
11,
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198,
5450,
1378... | 2.026731 | 2,469 |
# Given a binary tree, flatten it to a linked list in-place.
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
# 代码更加简洁
| [
2,
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257,
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340,
284,
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2,
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25,
198,
2,
220,
220,
220,
220,
825,
11593,
15003,
834,
7,... | 2.070796 | 113 |
from django.contrib import admin
from recipes.models import Recipe
admin.site.register(Recipe)
| [
6738,
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198,
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13,
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7,
37523,
8,
198
] | 3.592593 | 27 |
import sys
from switch_nexa import NexaSwitcher
if __name__ == '__main__':
if len(sys.argv) != 4:
sys.exit('Usage: %s on|off data_pin_number transmitter_code' % sys.argv[0])
switcher = NexaSwitcher(data_pin=int(sys.argv[2]), transmitter_code=int(sys.argv[3]))
if sys.argv[1] == "on":
switc... | [
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220,
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7,
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13,
853,
85,
8,
14512,
604,
25,
198,
220... | 2.236686 | 169 |
# AC 約数列挙しその約数をもつ最も多い数を出力
import collections
N = int(input())
A = list(map(int, input().split()))
B = [divisor(a) for a in A]
C = [i for i in sum(B, []) if i != 1]
D = collections.Counter(C)
print(D.most_common()[0][0])
# 公式解説 max1000と少ないから全列挙
N = int(input())
A = list(map(int, input().split()))
ans = -1
mx = 0
... | [
2,
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198,
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17... | 1.751037 | 241 |
from django.urls import path
from .views import add_to_cart, cart_detail, remove_item_cart, remove_one_cart
app_name = "cart"
urlpatterns = [
path("detail/", cart_detail, name="cart_detail"),
path("add/<int:item_id>", add_to_cart, name="add_to_cart"),
path("add-size/<int:item_id>/<str:size>", add_to_cart... | [
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62,
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62,
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198,
198,
1324,
62,
3672,
796,
366,
26674,
... | 2.34632 | 231 |
import streamlit as st
import joblib
import pandas as pd
from train import svc, rf, KNN, adaboost, gboost, extra_tree
from PIL import Image
if __name__ == '__main__':
# st.image(Image.open('diabetes_image.webp'),use_column_width=True)
st.title('Predict early stage diabetes-mellitus.')
st.sidebar.markdown... | [
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11,
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11,
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62,
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198,
6738,
350,
414... | 2.534296 | 277 |
import geopandas as gp
import pytest
from geofeather import to_geofeather, from_geofeather
@pytest.mark.benchmark(group="read-points")
def test_points_read_benchmark(tmpdir, points_wgs84, benchmark):
"""Test performance of reading feather files"""
filename = tmpdir / "points_wgs84.feather"
to_geofeather... | [
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31,
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13,
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4102,
7,
8094,
... | 2.753823 | 1,308 |
# Copyright (c) 2018 PaddlePaddle 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 app... | [
2,
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357,
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13,
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2,
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13,
15,
357,
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366,
34156,
15341,
198,
2,
345,
743,
407,
779,
428,
... | 3.002315 | 432 |
"""
Illustration of the heat equation
Solve the heat equation using finite differences and Forward Euler.
Based on: https://commons.wikimedia.org/wiki/File:Heat_eqn.gif
@author: Nicolás Guarín-Zapata
"""
import numpy as np
from scipy.ndimage import gaussian_filter
from mayavi import mlab
def step_function(N, scale... | [
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684,
13,
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20626,
13,
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14,
15466,
14,
8979,
25... | 1.94329 | 1,781 |
__all__ = [
"abs",
"sin",
"cos",
"log",
"exp",
"sqrt",
"pow",
"floor",
"ceil",
"round",
"as_int",
"as_float",
"as_str",
"as_factor",
"fct_reorder",
"fillna",
"qnorm",
"pnorm",
"dnorm",
"pareto_min",
]
from grama import make_symbolic
from ... | [
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220,
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1600,
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220,
220,
220,
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1600,
198,
220,
220,
220... | 2.390189 | 2,222 |
# -*- coding: utf-8
'''
Import books metadata which ID extracted from XLSX.
'''
import os
import pathlib
from openpyxl import load_workbook
from torcms.model.category_model import MCategory
from torcms.model.post2catalog_model import MPost2Catalog
from torcms.model.post_model import MPost
def update_category(uid,... | [
2,
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9,
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198,
198,
11748,
3108,
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198,
6738,
1280,
9078,
87,
75,
... | 2.220245 | 899 |
import math
if __name__ == '__main__':
import sys
sys.path.insert(0, 'C:\\Users\\James Jiang\\Documents\\Project Euler')
from progress import Progress
answers_list = ['dummy']
with open('C:\\Users\\James Jiang\\Documents\\Project Euler\\answers.txt') as answers:
for line in answers:
answers_list.a... | [
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7,
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11,
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34,
25,
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6852,
14731,
32294,
6852,
38354,
... | 2.760204 | 196 |
# -*- coding: utf-8 -*-
"""
Created on Thu Jun 7 11:41:44 2018
@author: MichaelEK
"""
import os
import argparse
import types
import pandas as pd
import numpy as np
from pdsql import mssql
from datetime import datetime
import yaml
import itertools
import lowflows as lf
import util
pd.options.display.max_columns = 10
... | [
2,
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9,
12,
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25,
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9,
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25,
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25,
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36,
42,
198,
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198,
11748,
28686,
198,
11748,
1822,
2... | 2.48094 | 21,406 |
"""
BitBake 'Fetch' implementation for bzr.
"""
# Copyright (C) 2007 Ross Burton
# Copyright (C) 2007 Richard Purdie
#
# Classes for obtaining upstream sources for the
# BitBake build tools.
# Copyright (C) 2003, 2004 Chris Larson
#
# This program is free software; you can redistribute it and/or modify
# it un... | [
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8,
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2,
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34,
8,
4343,
6219,
350,
2799,
494,
198,
2,
198,
2,
220,
220,
388... | 3.553691 | 298 |
from .invite_user import InviteUserView
from .invite_user import InviteUserDoneView
from .email import EmailUserView
from .email import EmailUserDoneView
from .password_change import PasswordChangeView
__all__ = [
'InviteUserView',
'InviteUserDoneView',
'PasswordChangeView',
'EmailUserView',
'Emai... | [
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198,
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764,
12888,
1330,
9570,
12982,
45677,
... | 3.072727 | 110 |
# Lint as: python2, python3
# Copyright 2017 Google 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
#
# Unless req... | [
2,
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355,
25,
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17,
11,
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18,
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2,
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13,
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13,
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2,
198,
2,
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739,
262,
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11,
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362,
13,
15,
357,
1169,
366,
34156,
15341,
198,
2,
345,
743,
4... | 2.797239 | 9,706 |
from itertools import chain
import pymysql
from faker import Faker
import random
import datetime
from dim_ova_veteran import search_people
fake = Faker('zh_CN')
# 连接MySQL数据库
mysql_conn = pymysql.connect(host="192.168.101.105", user="root", password="123456", db="dim", port=3306,
charset='... | [
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198... | 2.312821 | 195 |
import requests
import base64
import json
from os import environ as env
from urlparse import urljoin
EXTERNAL_SCHEME = env['EXTERNAL_SCHEME']
BASE_URL = '%s://%s:%s' % (EXTERNAL_SCHEME, env['EXTERNAL_SY_ROUTER_HOST'], env['EXTERNAL_SY_ROUTER_PORT']) if 'EXTERNAL_SY_ROUTER_PORT' in env else '%s://%s' % (EXTERNAL_SCHEME... | [
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6369,
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1847,... | 2.070064 | 471 |
#!/usr/bin/env python
# encoding: utf-8
"""
Code for managing la-grange.net.
Created by Karl Dubost on 2011-12-03.
Copyright (c) 2011 Grange. All rights reserved.
see LICENSE.TXT
"""
import argparse
import configparser
from dataclasses import dataclass
import datetime
from io import StringIO
import logging
import os
... | [
2,
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1... | 2.334592 | 3,972 |
import random
import math
import config
import wavelink
import re
import time
import asyncio
from youtube_title_parse import get_artist_title
from modules import format_time, database
from .spotify_link import SpotifyLink
db = database.Connection()
| [
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5794,... | 3.876923 | 65 |
from typing import Any, Dict, List
import pandas as pd
def transform_categorical_feature(df: pd.DataFrame, column_name: str, column_prefix: str = "") -> pd.DataFrame:
"""
creates columns of binary values from categorical textual information
"""
df1 = pd.get_dummies(df[column_name].astype(str))
... | [
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... | 2.688679 | 212 |
# Copyright 2014: Mirantis 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
#
# Unless required b... | [
2,
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... | 3.109215 | 293 |
import tensorflow as tf
from tensorflow.keras.layers import Conv2D, Dense, BatchNormalization, Flatten
# defines a resnet model
# resnet20: num_block=[3,3,3]
# resnet32: num_block=[5,5,5]
# resnet44: num_block=[7,7,7]
# resnet56: num_block=[9,9,9]
# resnet110: num_block=[18,18,18]
# resnet12... | [
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... | 2.210191 | 157 |
#!/usr/bin/env python
"""
This script is used to setup individual test cases. Available test cases
can be see using the list_testcases.py script.
Specifically, this script parses XML files that define cases (steps in test
cases) and driver scripts, and generates directories and scripts to run each
step in the process ... | [
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62,
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11,
... | 2.143685 | 7,245 |
from app import app
from flask import render_template, request
from flask_restful import Resource, Api
from app.database import Database
api = Api(app)
@app.route("/")
@app.route("/about")
api.add_resource(TodoSimple, "/client/")
| [
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7,
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31,
... | 3.090909 | 77 |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.4.2
# kernelspec:
# display_name: Python [conda env:PROJ_IrOx_Active_Learning_OER]
# language: python
# name: conda-env-PROJ_IrOx_Active_Lea... | [
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... | 2.101727 | 521 |
try:
from hashlib import md5
except:
from md5 import new as md5
import autocomplete_light
from django import forms
from django.db.models.fields import BLANK_CHOICE_DASH
from django.core.urlresolvers import reverse_lazy
from django.forms import models
from django.forms.formsets import BaseFormSet
from django... | [
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... | 2.968709 | 767 |
# Copyright 2017 The KaiJIN 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 applicable ... | [
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... | 3.552239 | 402 |
# print('CREATING CODE')
# print()
# # This code counts to 100 (chr 'd') in the DATA section
# # code2 = bytearray(b'\x01\x01\x00\n\x02\x01\x00\x04\x02\x01\x00\x04\x02\x01\x00\x04\x02\x01\x00\x01\x01\x00\n\x02\x01\x00\x04\x02\x01\x00\x04\x02\x01\x00\x04\x18\x01\x00\n\x02\x01\x00\x04\x02\x01\x00\x04\x02\x01\x00\x04\x02\... | [
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796,
416,
83,
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7,
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6,
59,
87,
48... | 1.561367 | 11,529 |
print("Hello World")
Last login: Mon Jan 10 14:42:15 on ttys000
(base) leila_fifelina@Leilas-MBP ~ % jupyter -V
usage: jupyter [-h] [--version] [--config-dir] [--data-dir] [--runtime-dir]
[--paths] [--json] [--debug]
[subcommand]
Jupyter: Interactive Computing
positional arguments:
sub... | [
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31,
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346,
292,
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47,
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474,
929,
88... | 2.656172 | 2,414 |
# Copyright (c) 2018 PaddlePaddle 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 app... | [
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1169,
366,
34156,
15341,
198,
2,
345,
743,
407,
779,
428,
... | 3.442359 | 373 |
import logging
_BLACK, _RED, _GREEN, _YELLOW, _BLUE, _MAGENTA, _CYAN, _WHITE = range(8)
RESET_SEQ = "\033[0m"
COLOR_SEQ = "\033[1;%dm"
BOLD_SEQ = "\033[1m"
COLORS = {
'WARNING': _YELLOW,
'INFO': _WHITE,
'DEBUG': _BLUE,
'CRITICAL': _YELLOW,
'ERROR': _RED
}
LOG_LEVEL = logging.INFO
| [
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2837,
7,
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8,
198,
19535,
... | 1.949686 | 159 |
import helium
import unittest
import os
if __name__ == '__main__':
unittest.main()
| [
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220,
220,
220,
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198
] | 2.647059 | 34 |
"""
68. How to get the n’th largest value of a column when grouped by another column?
"""
"""
Difficulty Level: L2
"""
"""
In df, find the second largest value of 'taste' for 'banana'
"""
"""
Input
"""
"""
df = pd.DataFrame({'fruit': ['apple', 'banana', 'orange'] * 3,
'rating': np.random.rand(9),
... | [
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1... | 2.226519 | 181 |
__author__ = 'alandinneen'
| [
834,
9800,
834,
796,
705,
282,
392,
259,
710,
268,
6,
198
] | 2.25 | 12 |
import logging
import os
import shutil
import subprocess
from mecoshark.processor.baseprocessor import BaseProcessor
from mecoshark.resultparser.sourcemeterparser import SourcemeterParser
logger = logging.getLogger("processor")
class CProcessor(BaseProcessor):
"""
Implements :class:`~mecoshark.processor.base... | [
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13,... | 2.413687 | 1,622 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# GAMLite
#
# Copyright 2020, 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/LIC... | [
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2,
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2,
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2,
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12131,
11,
1439,
6923,
33876,
13,
198,
2,
198,
2,
49962,
73... | 2.451656 | 4,499 |
from unittest.mock import call, patch
import pytest
from pytest import raises
from vang.bitbucket.get_repos import get_all_repos
from vang.bitbucket.get_repos import get_repos
from vang.bitbucket.get_repos import main
from vang.bitbucket.get_repos import parse_args
@pytest.fixture
@pytest.mark.parametrize("only_... | [
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715,
395,
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316,
13,
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62,
260,
1930,
1330,
651,
62,
439,
62,
260,
1930,
... | 2.005208 | 768 |
from pydantic import BaseModel, EmailStr
from datetime import datetime
from typing import List
| [
6738,
279,
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5109,
1330,
7308,
17633,
11,
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4818,
8079,
198,
6738,
19720,
1330,
7343,
628,
628,
628,
198
] | 3.884615 | 26 |
from itembase.core.tests import *
| [
6738,
2378,
8692,
13,
7295,
13,
41989,
1330,
1635,
198
] | 3.4 | 10 |
#!/usr/bin/env python
"""Thunder Chen<nkchenz@gmail.com> 2007.9.1"""
from __future__ import with_statement
import re
try:
import xml.etree.ElementTree as ET
except: # pragma: no cover
# For Python 2.4
import cElementTree as ET
from object_dict import object_dict
class Dict2XML(object):
"""Turn a... | [
2,
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14629,
14,
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834,
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62,
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302,
198,
... | 2.466667 | 375 |
from pytest import approx, raises
import numpy as np
import netket as nk
import netket.variational as vmc
from io import StringIO
from contextlib import redirect_stderr
import tempfile
import re
SEED = 214748364
nk.utils.seed(SEED)
| [
6738,
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198,
198,
6738,
33245,
1330,
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9399,
198,
6738,
4732,... | 3.064103 | 78 |
"""edits to embedding-related tables
Revision ID: bedce04cf1d3
Revises: 93ae3f97278a
Create Date: 2021-01-13 19:42:31.658244
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = "bedce04cf1d3"
down_revision = "93ae3f97278a"
branch_labels = None
depends_on = None
| [
37811,
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12,
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12,
1485,
678... | 2.572581 | 124 |
import os
import sys
import copy
import pygame
from code.extensions.common import UITemplateLoaderExt
from code.render.glfunctions import *
from code.controllers.intervalcontroller import IntervalController
from code.controllers.menucontroller import MenuController
from code.controllers.timercontroller import Time... | [
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198,
198,
6738,
2438,
13,
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13,
70,
1652,
46797,
1330,... | 3.485315 | 715 |
from typing import List
# Approach 1 -> Single Iteration
# Approach 2 -> Single Iteration, Memory optimization
# Approach 3 -> Inbuilt functions -> Less Efficient
print(isNonDecreasing(inputList=[10, 20, 30]))
print(isNonDecreasing(inputList=[10, 20, 20, 30]))
print(isNonDecreasing(inputList=[10, 20, 11, 30]))... | [
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628,
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479... | 2.744505 | 364 |
from Service.clientcardService import ClientCardService
from Service.movieService import MovieService
from Service.randommovie import unique_strings, inProgram, unique_number
from Service.reservationService import ReservationService
from Service.undoredoservice import Undoredoservice
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4... | 4.415385 | 65 |
#!/usr/bin/env python
import http.client
import pprint
con = http.client.HTTPSConnection("api.fda.gov")
con.request('GET', '/drug/label.json?limit=10')
res = con.getresponse()
print("Status: {}".format(res.status))
headers_list = res.getheaders()
print("Headers: {}".format(headers_list))
con.close() | [
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"""Common code."""
import contextlib
import difflib
import fcntl
import glob
import os
import pathlib
import shutil
import struct
import sys
import tempfile
import termios
import typing
import warnings
from subprocess import check_output, CalledProcessError
from uuid import UUID
import attr
import icdiff
import toml
f... | [
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... | 2.468435 | 1,093 |
import re
r = int(input())
for i in range(0,r):
s = str( input() )
if True:
try:
reg = re.compile(s)
except re.error:
print(False)
else:
print(True)
| [
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... | 1.75 | 124 |
import sys, re, numpy, random
from collections import Counter
word_pattern = re.compile(r"\w+")
num_dimensions = int(sys.argv[2])
window_size = 5
num_negative_samples = 5
frequency_weight = 0.0001
raw_documents = []
all_words = Counter()
with open(sys.argv[1]) as infile:
for line in infile:
fields = lin... | [
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5... | 2.616172 | 977 |
#!/usr/bin/env python3
""" Run all the stages of the Deep Colony Tracking pipeline
Analyze the example confocal data:
.. code-block:: bash
$ ./deep_track.py --preset confocal ../deep_hipsc_tracking/data/example_confocal/
To try the code out without running anything:
.. code-block:: bash
$ ./deep_track.py... | [
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25,
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220... | 2.858 | 500 |
"""Elementwise sigmoid activation function with HBP functionality."""
from torch.nn import Sigmoid
from .nonlinear import hbp_elementwise_nonlinear
class HBPSigmoid(hbp_elementwise_nonlinear(Sigmoid)):
"""Componentwise sigmoid layer with HBP functionality.
Applies sigma(x) = 1 / (1 + exp(-x)) elementwise.
... | [
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... | 2.556863 | 510 |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
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] | 2.891892 | 37 |
import os.path
import re
import subprocess
import sys
# TODO TODO TODO
# also change around the .env file
if __name__ == '__main__':
main()
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... | 2.862745 | 51 |
import os, glob
pwd = os.path.dirname(os.path.realpath(__file__))
v8_path = os.path.join(pwd, 'v8')
mozilla_path = os.path.join(pwd, 'mozilla')
test262_path = os.path.join(pwd, 'test262')
jsi_path = os.path.join(pwd, 'JSI')
jerryjs_path = os.path.join(pwd, 'JerryJS')
tinyjs_path = os.path.join(pwd, 'TinyJS')
webkitjs... | [
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... | 2.368159 | 603 |
# -*- coding: utf-8 -*-
import re
import graphene
from graphene import Enum as GrapheneEnum
from sqlalchemy import and_
from common.database import db
from common.graphene_utils import ShortString
from common.languages import _local_
from common.log.journal import system_logger
from common.models.auth import User
fr... | [
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198,
198,
6738,
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290,
62,
198,
198,
6738... | 2.378462 | 650 |
import re
from enum import Enum
LOGICAL_OPERATORS = [Token.AND, Token.OR]
CONDITIONAL_OPERATORS = [
Token.EQUAL,
Token.NEQUAL,
Token.SMALL,
Token.SMALLEQ,
Token.LARGE,
Token.LARGEEQ,
Token.IN,
Token.NIN,
]
| [
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220,
220,
220,... | 2.016667 | 120 |
from hamcrest import *
from solr_admin.models.synonym import Synonym
from tests.external.pages.synonyms_list_page import SynonymsListPage
| [
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] | 3.475 | 40 |
# coding=utf8
from __future__ import print_function
from django.core.management.base import BaseCommand
from django.contrib.auth.models import User
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1178... | 3.511628 | 43 |