content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
import numpy as np
import pandas as pd
d = {
'A': "foo foo foo bar bar bar".split(),
'B': "one one two two one one".split(),
'C': "x y x y x y".split(),
'D': [1,3,2,5,4,1]
}
df = pd.DataFrame(d)
print(d)
print(df['A'].unique())
print(df['A'].value_counts())
print (df.pivot_table(values='D',
index = ['A','B'],... | [
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6,
33,
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366,
505,
530,
7... | 2.171271 | 181 |
import git # type: ignore
from typing import Callable, Iterator, Tuple, List
def short_sha(rev: git.Commit) -> str:
""" Truncate `rev.hexsha` without ambiguity """
return rev.repo.git.rev_parse(rev.hexsha, short=True)
def visit_ancestors(rev: git.Commit) -> Iterator[Tuple[git.Commit, Callable]]:
r"""
... | [
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... | 2.45283 | 1,219 |
# Copyright 2019 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from dataclasses import dataclass
from pants.build_graph.address import Address
from pants.engine.addressable import BuildFileAddresses
from pants.engine.console import Console
from pants... | [
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3... | 3.488479 | 217 |
# Copyright (c) 2016, Xilinx, Inc.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright notice,
# this list of con... | [
2,
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287,
2723,
290,
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11,
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2,
2... | 2.045418 | 14,972 |
import os
import time
import uuid
import hprof.parser
import hprof.leak_report_writer
import hprof.leak_detector
ROOT_DIR = "/home/shanbay/memory_guard/server"
REPORT_DIR = os.path.join(ROOT_DIR, "report")
if __name__ == '__main__':
pass
| [
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293,
461,
62,
15255,
9250,
198,
198,
13252,
2394,
62,
... | 2.583333 | 96 |
import argparse
import os
import shutil
import tempfile
import yaml
from contest.impls.lib import datasets
if __name__ == '__main__':
main()
| [
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628,
198,
198,
361,
11593,
3672,
834,
6624,
705,
834,
12417,... | 3 | 50 |
import glob
from os import path as osp
if __name__ == '__main__':
root = '/data2/yangxi/datasets/Vimeo90k/vimeo_septuplet'
seq_path_list = sorted(glob.glob(osp.join(root, 'sequences', '*', '*')))
out = [
'{}/{} 7 (256,448,3)\n'.format(seq_path.split('/')[-2], seq_path.split('/')[-1])
for s... | [
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382... | 2.069767 | 215 |
# Generated by Django 3.1.4 on 2021-11-13 10:16
import datetime
from django.db import migrations, models
import django.db.models.deletion
from django.utils.timezone import utc
import django.utils.timezone
import uuid
| [
2,
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# encoding: UTF-8
"""
通过VT_setting.json加载全局配置
"""
print('load vtGlobal.py')
import os
import traceback
import json
from .vtFunction import getJsonPath
globalSetting = {} # 全局配置字典
settingFileName = "VT_setting.json"
settingFilePath = getJsonPath(settingFileName, __file__)
try:
with open(settingFilePath,'r',e... | [
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2220,
410,
83,... | 2.263736 | 182 |
from django.urls import path
from . import views
app_name = 'users'
urlpatterns = [
path('',views.index, name='index'),
]
| [
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96... | 2.723404 | 47 |
# Copyright 2014 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import os
from telemetry.core import util
# TODO(dtu): Move these functions from core.util to here.
GetBaseDir = util.GetBaseDir
GetTelemetryDir = util.Ge... | [
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11748... | 2.970297 | 404 |
# -*- coding: utf-8 -*-
# Define here the models for your scraped items
#
# See documentation in:
# https://docs.scrapy.org/en/latest/topics/items.html
import scrapy
| [
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2... | 2.725806 | 62 |
# stdlib imports
import re
# third-party imports
import structlog
# local imports
from stretch import exceptions
from stretch import logging
from .trigger_types import http
from .trigger_types import mesos
logger = structlog.get_logger()
def get_prefixes_from_labels(labels):
"""Extracts a unique list of trig... | [
2,
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198,
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1... | 2.520179 | 892 |
from loguru import logger
from flexget import plugin
from flexget.event import event
from . import db
logger = logger.bind(name='seen')
class FilterSeen:
"""
Remembers previously downloaded content and rejects them in
subsequent executions. Without this plugin FlexGet would
download all matching co... | [
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13,
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7,
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628,
198... | 1.998731 | 2,364 |
import contextlib
from typing import Any, Dict, Iterable, Optional
import discord
import iso8601
import validators
from redbot.core import commands
from redbot.vendored.discord.ext import menus
| [
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13645,
13,
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198,
6738,
2266,
13645... | 3.648148 | 54 |
import os
from datetime import date
date1 = Date(os.environ["ESPANSO_DATES_DAY1"], os.environ["ESPANSO_DATES_MONTH1"],
os.environ["ESPANSO_DATES_YEAR1"]).date
date2 = Date(os.environ["ESPANSO_DATES_DAY2"], os.environ["ESPANSO_DATES_MONTH2"],
os.environ["ESPANSO_DATES_YEAR2"]).date
datediff ... | [
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16,
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13,
268,
2268,
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1546,
47,
15037,
46,
62,
35,
29462,... | 2.086705 | 173 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
"""
import sys
import tensorflow as tf
# to-do: find a way to limit gpu memory usage during training
######## START GPU SETTINGS ############
# Set MEMORY GROWTH to True
physical_devices = tf.config.list_physical_devices('GPU')
try:
tf.config.experimental.set... | [
2,
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25,
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69,
12,
23,
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9,
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220,
198,
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220,
198,
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220,
198,
11748,
25064,
220,
198,
11748,
11192,
273,
11125,
355,
48700,
198,
198,... | 2.363215 | 647 |
#read and display the contents of Employee.csv in 23-a
import csv
with open('Employee.csv',"r") as fhObj:
eReader = csv.reader(fhObj)
print("File Employee.csv contains :")
for rec in eReader:
print(rec)
| [
2,
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355,
277,
71,
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25,
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220,
220,
220,
304,
33634,
796,
269... | 2.574713 | 87 |
from urllib.request import urlopen
from urllib.parse import urlparse
from bs4 import BeautifulSoup
import re
import datetime
import random
pages = set()
random.seed(datetime.datetime.now())
allExtLinks = set()
allIntLinks = set()
getAllExternalLinks("http://jcrew.com")
| [
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198,
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4738,
198,
198,
31126,
... | 3.123596 | 89 |
"""
.. See the NOTICE file distributed with this work for additional information
regarding copyright ownership.
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.... | [
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3... | 2.449421 | 1,987 |
from onadata.apps.api.tests.models.test_abstract_models import (
TestAbstractModels)
from onadata.apps.api.models import TempToken
from django.db.utils import IntegrityError
| [
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319,
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... | 3.314815 | 54 |
from generator.actions import Actions
import array
import random
import struct
| [
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1330,
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198,
11748,
7177,
198,
11748,
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198
] | 4.9375 | 16 |
import numpy as np
import unittest
import chainer.functions as F
import chainer.testing as testing
import chainer.testing.condition as condition
from mkldnn import switch
testing.run_module(__name__, __file__)
| [
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20... | 3.435484 | 62 |
"""
Binary Tree Level Order Traversal II
Given a binary tree, return the bottom-up level order traversal of its nodes' values. (ie, from left to right, level by level from leaf to root).
For example:
Given binary tree [3,9,20,null,null,15,7],
3
/ \
9 20
/ \
15 7
return its bottom-up level order ... | [
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11,
422,
1364,
284,
826,
11,
1241,
416,
... | 2.509804 | 255 |
from src.PhaseIdentification.voltageBasedPhaseIdentification import *
"""
##################################################
Fluvinus experiment can be done using "truncated"
# CASE A: Rural area
# feeder ID = 86315_785383
# number of devices = 22
# CASE B: Urban area
# number of de... | [
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42... | 2.755647 | 487 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import numpy as np
from scipy.integrate import solve_ivp
import matplotlib.pyplot as plt
np.set_printoptions(threshold=np.nan)
np.set_printoptions(precision=5)
#<startTeX>
sol = solve_ivp(lambda t,rf: [(1-0.02*rf[1])*rf[0], (-1+0.03*rf[0])*rf[1]],[0,20],[20,20],method='... | [
2,
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69,
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9,
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79,
198,
11748... | 2.050542 | 277 |
# -*- coding: utf-8 -*-
# ----------------------------------------------------------------------------
# Created By : Francisco Miras García <francisco.mirasg@gmail.com>
# version ='1.0'
# ---------------------------------------------------------------------------
"""
# Codigo para el ejercicio Color
1.- Construye un ... | [
2,
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292,
70,
31,
14816,
13,
785,
29,
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2,
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796,
... | 2.834802 | 1,362 |
from __future__ import print_function
from builtins import object
from lib.common import helpers
| [
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1330,
2134,
198,
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9195,
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1330,
49385,
628
] | 4.454545 | 22 |
from poker.deck import * | [
6738,
27101,
13,
35875,
1330,
1635
] | 4 | 6 |
import dns.resolver
# resolveList.append(rData)
# ++y
# return resolveList
domainName = "www.yahoo.com"
queryResult = resolve(domainName);
for result in queryResult:
print(queryResult[0]) | [
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88,
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220,
220,
220,
220,
220,
220,
220,
198,
2,
197,
7783,
10568,
8053,
198,
198,
27830,
5376,
796,
366,... | 2.589744 | 78 |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import os
import random
import sys
import torch
import torch.nn.functional as F
from io import StringIO
from fairseq import o... | [
2,
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8,
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262,
6808,
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286,
428,
2723,
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198,
... | 3.266376 | 229 |
import heapq
n = int(input())
h = []
for _ in range(n):
q = input().split()
if len(q) == 1:
print(h[0])
else:
v = int(q[1])
if q[0] == "1":
heapq.heappush(h, v)
else:
if h[0] == v:
heapq.heappop(h)
elif h[-1] == v:
... | [
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7,
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8,
6624,
352... | 1.43454 | 359 |
T = int(input())
myTree = Solution()
root = None
for i in range(T):
data = int(input())
root = myTree.insert(root, data)
myTree.levelOrder(root)
| [
198,
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7,
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6808,
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... | 2.566667 | 60 |
from django.conf.urls import url
from .views import (
PaymentListAPIView,
BookingListAPIView,
RoomBookingListAPIView,
CreateAPIView,
UpdateAPIView,
CheckOutAPIView
)
urlpatterns... | [
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220,
220,
220,
220,
28784,
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2969,
3824,
769,
11,
... | 1.849722 | 539 |
import tempfile
from django.core.urlresolvers import reverse
from hs_file_types.tests.utils import CompositeResourceTestMixin
from hs_core.models import ResourceFile
from hs_core.tests.api.rest.base import HSRESTTestCase
from hs_file_types.models import FileSetLogicalFile
| [
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198,
6738,
289,
82,
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... | 3.285714 | 84 |
import pytest
from flatsplode import (explode, flatsplode, flatten)
@pytest.mark.parametrize(('item', 'exp'), [
(
{
'a': 'b',
'jar': ['bar', 'car'],
'fizz': ['buzz', 'jazz', 'fuzz'],
'foo': 'bar',
},
[
{'a': 'b', 'jar': 'bar', 'f... | [
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2736,
7,
10786,
9186,
3256,
705,
11201,
33809,
685,
198,
... | 1.352902 | 4,548 |
from django.test import TestCase
from django.test import Client
from django.urls import reverse
from mock import patch
| [
6738,
42625,
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13,
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82,
1330,
9575,
198,
6738,
15290,
1330,
8529,
628
] | 3.870968 | 31 |
"""
# Definition for a Node.
class Node:
def __init__(self, val: int = 0, left: 'Node' = None, right: 'Node' = None, next: 'Node' = None):
self.val = val
self.left = left
self.right = right
self.next = next
"""
"""
Second Solution : Using previously established... | [
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11,... | 3.081731 | 208 |
# -*- coding: utf-8 -*-
"""miniuser's app specific exceptions"""
class MiniUserException(Exception):
"""Base class for all app specific exceptions"""
pass
class MiniUserConfigurationException(MiniUserException):
"""Raised, if there is a mismatch/inconsistency in the app specific settings."""
pass
| [
2,
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329,
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2176,
1... | 3.419355 | 93 |
num = int(input('Digite o valor a ser convertido: '))
base = int(input("""Qual será a base de conversão? sendo:
\033[34m1\033[m = binário
\033[34m2\033[m = Octal
\033[34m3\033[m = Hexadecimal
Digite: """))
bin = bin(num)
oct = oct(num)
hex = hex(num)
if base == 1:
print('O Resultado é: {}'.format(bin))
elif base =... | [
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30,
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78,
25,
220,
198,
59,
44427,
... | 2.333333 | 183 |
# usage: pypy scriptname inputfile outputfile
import sys
outcontents = []
infile = open(sys.argv[1], "rb").read()
for i in infile:
#print(ord(i))
outcontents.append(bandlimit(ord(i)))
outfile = open(sys.argv[2], "wb")
outfile.write(bytearray(outcontents))
outfile.close() | [
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85,
58,
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366,
26145,
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3419,
... | 2.477876 | 113 |
#!/usr/bin/env python
class Slide(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually."""
def __init__(self):
"""
Attributes:
swaggerTypes (dict): The key is attribute name and the value is attribute type.
... | [
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2438,
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13,
198,
220,
220,
220,
2141,
407,
4370,
... | 2.445378 | 714 |
import random
from PyQt5.QtWidgets import QGraphicsView, QGraphicsRectItem, QGraphicsScene
from random_matrix_generator.block import Block
| [
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62,
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8609,
62,
8612,
1352,
13,
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1330,
9726,
198
] | 3.333333 | 42 |
import json
import unittest
from addict import Dict
TEST_VAL = [1, 2, 3]
TEST_DICT = {'a': {'b': {'c': TEST_VAL}}}
TEST_DICT_STR = str(TEST_DICT)
"""
Allow for these test cases to be run from the command line
via `python test_addict.py`
"""
if __name__ == '__main__':
all_tests = unittest.TestLoader().loadTests... | [
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6,
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1391,
6,
65,
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1391,
6,
66... | 2.522293 | 157 |
import os
import pathlib
def parse_yaml(file_name):
'''
Parse file_name and return dictionary.
If file does not exist, return empty dictionary.
'''
import yaml
import sys
if file_name.is_file():
with file_name.open() as f:
try:
config = yaml.load(f, yaml... | [
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62,
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290,
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13,
198,
220,
220,
220,
1002,
2393,... | 2.538557 | 804 |
import donna25519, base64
def generateEDKeyPairs():
"""A function which generates ED25519 key pairs"""
privateKey = donna25519.PrivateKey()
pvKey = privateKey.private
pbKey = privateKey.get_public().public
return (base64.b64encode(pvKey).decode(),base64.b64encode(pbKey).decode()) | [
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... | 2.781818 | 110 |
import pandas as pd
import numpy as np
import argparse
from imblearn.over_sampling import RandomOverSampler
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras.layers.experimental import preprocessing
import kerastuner as kt
"""Use Keras Tuner Hyberband, which trains multiple models on the trai... | [
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6... | 2.714801 | 1,939 |
# Copyright 2015 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 required by applicable law or a... | [
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743,
407,
779,
428,
2393,
2845,
287,
11846,
351,
262,
13789,
... | 3.467128 | 289 |
t = int(input())
while t > 0:
t= t-1
n,m = input().split()
n = int(n)
m = int(m)
lst = []
c = 0
for i in range(n+1,n+1000):
s=findgcd(n,i)
if s == 2:
c = c+1
lst.append(i)
if c == 3:
break
for i in lst:
print(i,end=" ")... | [
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7,
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8,
198,
220... | 1.525114 | 219 |
import numpy as np
| [
11748,
299,
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355,
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198
] | 3.166667 | 6 |
#!/usr/bin/python
# -*- coding: utf-8 -*-
'''
The MIT License:
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 us... | [
2,
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220,
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286,
... | 3.435135 | 370 |
from __future__ import absolute_import, division, print_function, unicode_literals
import os
import sys
from os.path import join
import re
import subprocess
import time
from pgrunner import ROOT
DEVNULL = open(os.devnull, 'wb')
# Default database (in the future we will put clones in the ROOT too)
DEFAULT = join(RO... | [
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1... | 2.429892 | 1,947 |
import abc
from pyspark.ml.base import Estimator
from pyspark.ml.base import Transformer
from parallelm.common.mlcomp_exception import MLCompException
from parallelm.components.spark_session_component import SparkSessionComponent
| [
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6738,
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76,
13,
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13,
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5589,
62,
1069,
4516,
13... | 3.530303 | 66 |
# from OneTicketLogging import elasticsearch_logger
# _logger = elasticsearch_logger(__name__)
| [
2,
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62,
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1362,
7,
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3672,
834,
8,
628,
628,
628,
628
] | 3.029412 | 34 |
"""
Contributors can be viewed at:
http://svn.secondlife.com/svn/linden/projects/2008/pyogp/lib/base/trunk/CONTRIBUTORS.txt
$LicenseInfo:firstyear=2008&license=apachev2$
Copyright 2009, Linden Research, Inc.
Licensed under the Apache License, Version 2.0.
You may obtain a copy of the License at:
http://www.apa... | [
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14,
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14,
10943,
... | 2.60804 | 199 |
from diffhod.mock_observables import *
| [
6738,
814,
2065,
13,
76,
735,
62,
672,
3168,
2977,
1330,
1635,
198
] | 3 | 13 |
from typing import Dict, Optional, Tuple, Union
import torch
import torch.nn as nn
from roca.modeling.depth_head.depth_modules import (
DepthFeatures,
DepthOutput,
Sobel,
)
from roca.modeling.logging_metrics import depth_metrics
from roca.modeling.loss_functions import (
cosine_distance,
inverse_h... | [
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... | 2.70229 | 131 |
#!/usr/bin/python
#
# SPDX-License-Identifier: Apache-2.0
#
from __future__ import absolute_import, division, print_function
__metaclass__ = type
from ansible.module_utils._text import to_native
from ..module_utils.dict_utils import copy_dict, equal_dicts, merge_dicts
from ..module_utils.module import BlockchainMod... | [
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83... | 1.995446 | 9,442 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
tkRAD - tkinter Rapid Application Development library
(c) 2013+ Raphaël SEBAN <motus@laposte.net>
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 S... | [
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532,
256,
74,
3849,
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5888,
628,
220,
220,
... | 2.023145 | 9,635 |
import os
import shutil
import random
from tqdm import tqdm
import torch
from torch import nn
from torch.backends import cudnn
from torch.utils.data import DataLoader
from torchvision import transforms
from tensorboardX import SummaryWriter
from graph.model.horizon_base import HorizonBase, Corner
from graph.loss.hor... | [
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#!/usr/bin/env python
"""Upserts Organization records with data from Salesforce Accounts.
"""
import logging
import os
from django.core.management.base import BaseCommand
import iss.models
import iss.membersuite
import iss.utils
logger = logging.getLogger(os.path.basename(__file__))
def upsert_memberships_recent... | [
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8... | 3.120401 | 299 |
import os
import torch
from torch.distributed import get_world_size
from transformers import BertConfig, BertTokenizer
from zero.common.utils import CONFIG, ModelFromHF, get_model_size
from bert.colossalai_utils.model_zoo.colo_tp1dcol_bert import ColoBertMaskedLMLoss, ColoBertForMaskedLM, create_colo_bert_pipe... | [
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# Generated by Django 2.0.10 on 2019-02-05 06:24
from django.conf import settings
from django.db import migrations, models
| [
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#-*- coding:utf-8 -*-
import wx
from wx.lib import buttons
# def MakeBitmap(self, color):
# bmp = wx.EmptyBitmap(16, 15)
# dc = wx.MemoryDC(bmp)
# dc.SetBackground(wx.Brush(color))
# dc.Clear()
# dc.SelectObject(wx.NullBitmap)
# return bmp
if __name__ == '__main_... | [
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import sys
from time import sleep
from mplayerutil import *
if __name__ == '__main__':
main()
| [
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from Bio.PDB import *
import os
class PDBFilter:
"""
Class used to provide a filter for reading pdb files
Attributes
----------
parser : None
A variable to store an instance of the PDBParser Object
struct : Structure
A variable used to store the structure object of the prote... | [
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#!/usr/bin/python
# -*- coding:utf-8 -*-
# ---------------------------
# Author: deangao
# Copyright: 2016 deangao
# Version: v1.0.0
# Created: 2016/2/24
# ---------------------------
__author__ = 'deangao'
'''
Python和C在变量的操作上有些不同,即在内存管理上的差别:
http://www.cnblogs.com/CBDoctor/p/3781078.html
http://www.cnblogs.com/vam... | [
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... | 1.252033 | 1,230 |
from api import db
from datetime import datetime
| [
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from pygame.constants import MOUSEBUTTONDOWN, MOUSEBUTTONUP
from segment import Segment
import pygame as pg
pg.init()
pg.display.set_caption('Inverse kinematics')
CLOCK = pg.time.Clock()
BLACK = (0, 0, 0)
RED = (255, 0, 0)
SCREEN_SIZE = (640, 640)
PIXEL_SIZE = 8
SCREEN = pg.display.set_mode(SCREEN_SIZE)
... | [
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import numpy as np
from astropy.io import fits
from scipy.optimize import curve_fit
from LDC_version.DensityClust.make_plot import make_plot
from LDC_version.DensityClust.get_xx import get_xyz
# from sklearn.linear_model import RANSACRegressor
def gauss_3d_rotate(x,A,x0,s1,y0,s2,theta,v0,s3):
"""
三维... | [
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29... | 1.653025 | 1,124 |
from enum import IntEnum
class States(IntEnum):
"""Map states for tasks to an int."""
unsched = -1
pending = 0
runnable = 1
running = 2
done = 3
failed = 4
dep_fail = 5
retry = 6
if __name__ == "__main__":
print(States.pending)
print(States.done)
print(3 == States.don... | [
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1331... | 2.34058 | 138 |
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from geomulator.surface import Surface
def calc_surface(u, v):
"""Calculate surface according to your definition."""
# # Wavy surface
# surface = np.array([
# u,
# v,
# np.exp(- (u**2 + v**... | [
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# Copyright (C) 2022 Aaron Gibson (eulersidcrisis@yahoo.com)
#
# 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 appl... | [
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779... | 2.774834 | 906 |
import json
# Handles serial transmission of data
# Calculate gradient of a line found
# Constrain value within given range | [
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__version__ = """1.29.0""" | [
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# -*- coding: utf-8 -*-
"""The repository of all the binary classifiers implemented with the package.
This module exposes a series of `online machine learning`_ models that can
be used for binary classification. The models learn by taking one data point
at a time and can achieve very good accuracy results.
One... | [
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# http://ipset.netfilter.org/iptables-extensions.man.html#lbAE | [
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# Copyright (C) 2018 by eHealth Africa : http://www.eHealthAfrica.org
#
# See the NOTICE file distributed with this work for additional information
# regarding copyright ownership.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with
# the License. Y... | [
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import warnings
warnings.filterwarnings('ignore')
from env.environment import PortfolioEnv
import plot
from plot import add_curve, save_plot
import os
import pandas as pd
from pyfolio import timeseries
from pypfopt import EfficientFrontier, risk_models, expected_returns
plot.initialize()
file = open(f'env/data... | [
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# Copyright 2018 dhtech
#
# Use of this source code is governed by a BSD-style
# license that can be found in the LICENSE file
import lib
def decode_ports(ports, filter_proto):
"""Given a string like '901-902/tcp,30/udp', return a list of ports."""
if not ports:
return []
results = []
for pro... | [
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"""
Python sensitivity analysis - run models with varying inputs to produce
visualizations including gradient DataFrames and hex-bin plots
"""
from sensitivity.main import SensitivityAnalyzer
| [
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import random
import requests
from django.core.cache import cache
from swiper import config
from common import keys
from swiper.settings import DEBUG
from worker import celery_app
@celery_app.task
| [
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'''
Speech to text transcription, from your mike, in real-time, using IBM Watson.
'''
import argparse
import time
import fluteline
import watson_streaming
import watson_streaming.utilities
if __name__ == '__main__':
main()
| [
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... | 3 | 78 |
#!/usr/bin/env python
import sys
print("error text",file=sys.stderr)
print("the command line arguments")
for x in sys.argv:
print(x)
print("the input")
text = sys.stdin.read()
print(text)
exit(2) | [
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... | 2.597403 | 77 |
#!/usr/bin/env python
import argparse, sys, math
# covalent radius to decide a bond. bond length: r1+r2
radius = {" H": 0.25,
" N": 0.65,
" C": 0.70,
" O": 0.60,
" P": 1.00,
" S": 1.00,
"NA": 1.80,
"CL": 1.00
}
elebd_radius = {" N": 1.5,... | [
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... | 1.988439 | 865 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
混合方式:
get_arguments(...)/get_argument(...)
访问地址:
http://localhost:8000/?user=123&user=223
"""
from tornado.web import Application, RequestHandler
from tornado.ioloop import IOLoop
if __name__ == '__main__':
app = Application([(r'/', IndexHandler)])
app.list... | [
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product = str(input())
if product == 'apple' or product == 'cherry' or \
product == 'kiwi' or \
product == 'lemon' or \
product == 'grapes' or \
product == 'banana':
print('fruit')
elif product == 'cucumber' or prod... | [
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... | 1.791367 | 278 |
# Generated by Django 3.1.7 on 2021-09-16 10:12
from django.db import migrations, models
import django.db.models.deletion
| [
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... | 2.818182 | 44 |
from os.path import dirname, abspath, join
from setuptools import setup
NAME: str = "twitivity"
AUTHOR: str = "Saadman Rafat"
DESCRIPTION: str = "Twitter Accounts Activity API Client Library for Python"
URL: str = "https://github.com/saadmanrafat/twitivity"
REQUIRES_PYTHON: str = ">=3.6.0"
VERSION = "0.1.0"
REQUIRED =... | [
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... | 2.555336 | 506 |
# -*- coding: utf-8 -*-
from pyndf.gui.items.abstract import AbstractItem
from pyndf.constants import CONST
class PdfItem(AbstractItem):
"""Class for storing data for analyse."""
type = CONST.TYPE.PDF
headers = ["matricule", "filename", "name", "nbr_missions", "nbr_indemnites", "status", "time", "retry... | [
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from itertools import permutations
S, k = input().split()
for x in list(permutations(sorted(S), int(k))):
print(''.join(x))
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# Given an m x n board and a word, find if the word exists in the grid.
# The word can be constructed from letters of sequentially adjacent cells, where "adjacent" cells are horizontally or vertically neighboring. The same letter cell may not be used more than once.
# Example 1:
# Input: board = [["A","B","C","E"],["... | [
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"""Make a file on disk appear more noaaport-ish."""
import sys
from pyiem.util import noaaport_text
def main(argv):
"""Do Main Things"""
fn = argv[1]
data = noaaport_text(open(fn, "rb").read().decode("ascii"))
with open(fn, "w") as fh:
fh.write(data)
if __name__ == "__main__":
main(sys.... | [
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat May 2 23:09:00 2020
@author: albert
"""
import glob
path = "data/train/box/box00001/"
files = glob.glob(path + "*.txt")
dryRun = False
baddies = 0
for f in files:
print(str(f))
if not dryRun:
lineFix = []
# Read con... | [
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... | 1.76565 | 1,246 |
import unittest
import vimdoc
from vimdoc.block import Block
from vimdoc import error
from vimdoc import module
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from .cutlet import *
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from django.conf import settings
from django.http import HttpResponse
from twilio.rest import Client
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from config import CarRobot
from bot import bot_init
import os
if __name__ == '__main__':
main()
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# coding=utf-8
# Copyright (c) 2020, NVIDIA CORPORATION. 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 re... | [
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# Definition for singly-linked list.
# class ListNode(object):
# def __init__(self, x):
# self.val = x
# self.next = None
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