index int64 0 100k | blob_id stringlengths 40 40 | code stringlengths 7 7.27M | steps listlengths 1 1.25k | error bool 2
classes |
|---|---|---|---|---|
8,500 | e19529dce407da0f1e21f6a3696efcefac9ed040 | import pandas as pd
def load_covid():
covid = pd.read_csv("https://raw.githubusercontent.com/owid/covid-19-data/master/public/data/owid-covid-data.csv")
target = 'new_cases'
date = 'date'
dataset = covid[(covid['location'] == 'World')].copy()[[target, date]]
dataset[date] = pd.to_datetime(datase... | [
"import pandas as pd\n\n\ndef load_covid():\n covid = pd.read_csv(\"https://raw.githubusercontent.com/owid/covid-19-data/master/public/data/owid-covid-data.csv\")\n\n target = 'new_cases'\n date = 'date'\n\n dataset = covid[(covid['location'] == 'World')].copy()[[target, date]]\n dataset[date] = pd.t... | false |
8,501 | d3952306679d5a4dc6765a7afa19ce671ff4c0b4 | """
The :mod:`sklearn.experimental` module provides importable modules that enable
the use of experimental features or estimators.
The features and estimators that are experimental aren't subject to
deprecation cycles. Use them at your own risks!
"""
| [
"\"\"\"\nThe :mod:`sklearn.experimental` module provides importable modules that enable\nthe use of experimental features or estimators.\n\nThe features and estimators that are experimental aren't subject to\ndeprecation cycles. Use them at your own risks!\n\"\"\"\n",
"<docstring token>\n"
] | false |
8,502 | bf45349a9fdfcef7392c477e089c5e3916cb4c8e | #!/usr/bin/python
# -*- coding: utf-8 -*-
import base64
import json
import os
import re
import subprocess
import time
import traceback
import zipfile
from datetime import datetime
import requests
from flask import request, current_app
from library.oss import oss_upload_monkey_package_picture
from public_config import... | [
"#!/usr/bin/python\n# -*- coding: utf-8 -*-\nimport base64\nimport json\nimport os\nimport re\nimport subprocess\nimport time\nimport traceback\nimport zipfile\nfrom datetime import datetime\n\nimport requests\nfrom flask import request, current_app\n\nfrom library.oss import oss_upload_monkey_package_picture\nfrom... | false |
8,503 | 84d9400dc4ee0bebce3f5f7da0bd77a280bb54a9 | # Generated by Django 3.1.3 on 2020-11-27 02:17
from django.conf import settings
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('foodBookApp', '0027_remove_post_total_comments'),
]
... | [
"# Generated by Django 3.1.3 on 2020-11-27 02:17\n\nfrom django.conf import settings\nfrom django.db import migrations, models\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n migrations.swappable_dependency(settings.AUTH_USER_MODEL),\n ('foodBookApp', '0027_remove_post_total_comm... | false |
8,504 | b5c68211cfa255e47ee316dc5b0627719eacae78 | # -*- coding: utf-8 -*-
from rest_framework import serializers
from django.contrib.auth.models import User
from core.models import Detalhe, Viagem, Hospital, Equipamento, Caixa
class UserSerializer(serializers.HyperlinkedModelSerializer):
class Meta:
model = User
fields = '__all__'
class CaixaSeri... | [
"# -*- coding: utf-8 -*-\nfrom rest_framework import serializers\nfrom django.contrib.auth.models import User\nfrom core.models import Detalhe, Viagem, Hospital, Equipamento, Caixa\n\nclass UserSerializer(serializers.HyperlinkedModelSerializer):\n class Meta:\n model = User\n fields = '__all__'\n\n... | false |
8,505 | 1eb5df463bbd39002c5dbc3f88459e2f26d4b465 | # -*- coding: utf-8 -*-
# Generated by Django 1.11.20 on 2019-04-11 03:58
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('produksi', '0055_auto_20190409_1316'),
]
operations = [
migrations.R... | [
"# -*- coding: utf-8 -*-\r\n# Generated by Django 1.11.20 on 2019-04-11 03:58\r\nfrom __future__ import unicode_literals\r\n\r\nfrom django.db import migrations\r\n\r\n\r\nclass Migration(migrations.Migration):\r\n\r\n dependencies = [\r\n ('produksi', '0055_auto_20190409_1316'),\r\n ]\r\n\r\n opera... | false |
8,506 | 89078ddd7dad3a2727b66566457b9ac173abe607 | from django.conf.urls import url, include
from . import views
explore_patterns = [
url(r'^$', views.explore),
url(r'^(?P<model_type>\w+)/$', views.get_by_model_type),
url(r'^(?P<model_type>\w+)/(?P<id>\w+)/$', views.get_by_model_id),
url(r'^(?P<model_type>\w+)/(?P<id>\w+)/download$', views.download_me... | [
"from django.conf.urls import url, include\n\nfrom . import views\n\nexplore_patterns = [\n url(r'^$', views.explore),\n url(r'^(?P<model_type>\\w+)/$', views.get_by_model_type),\n url(r'^(?P<model_type>\\w+)/(?P<id>\\w+)/$', views.get_by_model_id),\n url(r'^(?P<model_type>\\w+)/(?P<id>\\w+)/download$',... | false |
8,507 | dc41c64d09e5fdd0e234f516eeec0cbd2433876c | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Apr 2 13:34:19 2020
@author: ShihaoYang
"""
from pyltp import SentenceSplitter
from pyltp import Segmentor
from pyltp import Postagger
from pyltp import Parser
from pyltp import NamedEntityRecognizer
import os
import jieba
import re
os.getcwd()
os.ch... | [
"#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Thu Apr 2 13:34:19 2020\n\n@author: ShihaoYang\n\"\"\"\n\nfrom pyltp import SentenceSplitter\nfrom pyltp import Segmentor\nfrom pyltp import Postagger\nfrom pyltp import Parser\nfrom pyltp import NamedEntityRecognizer\nimport os\nimport jieba\ni... | false |
8,508 | e103e7a215614e1a7923838b775f49bba2792036 | # -*- coding: utf-8 -*-
# Copyright 2014 Foxdog Studios
#
# 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 l... | [
"# -*- coding: utf-8 -*-\n\n# Copyright 2014 Foxdog Studios\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless require... | false |
8,509 | 0b141ecca501c21df50e76d0841dd5651274f0da | from django import forms
from myapp.models import Student
from myapp.models import Employee
class EmpForm(forms.ModelForm):
class Meta:
model = Student
fields = "__all__"
class StudentForm(forms.Form):
firstname = forms.CharField(label="Enter first name:", max_length=50)
lastname = forms... | [
"from django import forms\nfrom myapp.models import Student\nfrom myapp.models import Employee\n\n\nclass EmpForm(forms.ModelForm):\n class Meta:\n model = Student\n fields = \"__all__\"\n\n\nclass StudentForm(forms.Form):\n firstname = forms.CharField(label=\"Enter first name:\", max_length=50)... | false |
8,510 | 534aaf8371707089522af014a93f3ff6c4f913ff | from django.contrib import admin
from pages.blog.models import Blog
admin.site.register(Blog)
| [
"from django.contrib import admin\nfrom pages.blog.models import Blog\n\nadmin.site.register(Blog)\n",
"from django.contrib import admin\nfrom pages.blog.models import Blog\nadmin.site.register(Blog)\n",
"<import token>\nadmin.site.register(Blog)\n",
"<import token>\n<code token>\n"
] | false |
8,511 | 21cfe1ca606d18763fbfb8ff6862c382b3321adc | # Copyright 2015 Cisco Systems, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing... | [
"# Copyright 2015 Cisco Systems, Inc.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed... | false |
8,512 | 69d3a39dc024929eaf6fb77e38a7a818d2886cf7 | '''
selection review
very similar to quicksort in terms of set up.
no need to sort to find kth element in a list
but instead can be done in o(n)
quick sort can be o(nlogn) if we choose median
instead of pivot
tips:
raise value error for bad index not in between 0 <= k < n
basecase of n <=1 --> return arr[0]
use L, E, ... | [
"'''\nselection review\nvery similar to quicksort in terms of set up.\nno need to sort to find kth element in a list\nbut instead can be done in o(n)\nquick sort can be o(nlogn) if we choose median\ninstead of pivot\n\ntips:\nraise value error for bad index not in between 0 <= k < n\nbasecase of n <=1 --> return ar... | false |
8,513 | 57de9a46dfbf33b117c2dfbb534a5020e019d520 | # -*- coding: utf-8 -*-
"""
@Author: xiezizhe
@Date: 5/7/2020 下午8:52
"""
from typing import List
class KMP:
def partial(self, pattern):
""" Calculate partial match table: String -> [Int]"""
ret = [0]
for i in range(1, len(pattern)):
j = ret[i - 1]
while j > 0 and... | [
"# -*- coding: utf-8 -*-\n\n\"\"\"\n@Author: xiezizhe\n@Date: 5/7/2020 下午8:52\n\"\"\"\n\nfrom typing import List\n\n\nclass KMP:\n def partial(self, pattern):\n \"\"\" Calculate partial match table: String -> [Int]\"\"\"\n ret = [0]\n\n for i in range(1, len(pattern)):\n j = ret[i... | false |
8,514 | 62fc71e26ba3788513e5e52efc5f20453080837d | class Solution:
def projectionArea(self, grid):
"""
:type grid: List[List[int]]
:rtype: int
"""
res=0
for i in grid:
res+=max(i)
for j in i:
if j:
res+=1
for k in zip(*grid):
res+=max(k)
... | [
"class Solution:\n def projectionArea(self, grid):\n \"\"\"\n :type grid: List[List[int]]\n :rtype: int\n \"\"\"\n res=0\n for i in grid:\n res+=max(i)\n for j in i:\n if j:\n res+=1\n for k in zip(*grid):\n ... | false |
8,515 | 324030a976af29dc93fdb637583bfaab93671cc2 | # Python 2.7 Doritobot Vision System
# EECS 498 Purple Team, 2014
# Written by Cody Hyman (hymanc@umich.edu)
# Written against OpenCV 3.0.0-alpha
import sys
import os
import cv2
import numpy as np
from uvcinterface import UVCInterface as uvc
from visionUtil import VisionUtil as vu
from collections import deque
from ... | [
"# Python 2.7 Doritobot Vision System\n# EECS 498 Purple Team, 2014\n# Written by Cody Hyman (hymanc@umich.edu)\n# Written against OpenCV 3.0.0-alpha\n\nimport sys\nimport os\n\nimport cv2\nimport numpy as np\n\nfrom uvcinterface import UVCInterface as uvc\nfrom visionUtil import VisionUtil as vu\nfrom collections ... | true |
8,516 | 472cdca501890d1d07c7363a48532ed3a184727c | """This is a collection of utilities for httpy and httpy applications.
"""
import cgi
import linecache
import mimetypes
import os
import stat
import sys
from Cookie import SimpleCookie
from StringIO import StringIO
from urllib import unquote
from httpy.Response import Response
def uri_to_fs(config, resource_uri_pat... | [
"\"\"\"This is a collection of utilities for httpy and httpy applications.\n\"\"\"\n\nimport cgi\nimport linecache\nimport mimetypes\nimport os\nimport stat\nimport sys\nfrom Cookie import SimpleCookie\nfrom StringIO import StringIO\nfrom urllib import unquote\n\nfrom httpy.Response import Response\n\n\ndef uri_to_... | true |
8,517 | 05d6f15102be41937febeb63ed66a77d3b0a678e | import time
import itertools
import re
from pyspark import SparkContext, SparkConf
from pyspark.rdd import portable_hash
from datetime import datetime
APP_NAME = 'in-shuffle-secondary-sort-compute'
INPUT_FILE = '/data/Taxi_Trips.csv.xsmall'
OUTPUT_DIR = '/data/output-in-shuffle-sort-compute-{timestamp}.txt'
COMMA_DE... | [
"import time\nimport itertools\nimport re\n\nfrom pyspark import SparkContext, SparkConf\nfrom pyspark.rdd import portable_hash\nfrom datetime import datetime\n\nAPP_NAME = 'in-shuffle-secondary-sort-compute'\nINPUT_FILE = '/data/Taxi_Trips.csv.xsmall'\nOUTPUT_DIR = '/data/output-in-shuffle-sort-compute-{timestamp}... | false |
8,518 | e00b81f73f4f639e008fde1a6b2d4f7937df4207 | #!/usr/bin/env python
host, port = "localhost", 9999
import os
import sys
import signal
import socket
import time
import select
from SocketServer import TCPServer
from SocketServer import StreamRequestHandler
class TimeoutException(Exception):
pass
def read_command(rfile,wfile,prompt):
def timeout_handler(signum... | [
"#!/usr/bin/env python\n\nhost, port = \"localhost\", 9999\n\nimport os\nimport sys\nimport signal\nimport socket\nimport time\nimport select\n\nfrom SocketServer import TCPServer\nfrom SocketServer import StreamRequestHandler\n\nclass TimeoutException(Exception):\n\tpass\n\ndef read_command(rfile,wfile,prompt):\n\... | false |
8,519 | 8921c0a17e90f7113d1e0be630a15fc9d74d1780 | from web3.auto.infura import w3
import json
import os
with open("contract_abi.json") as f:
info_json = json.load(f)
abi = info_json
mycontract = w3.eth.contract(address='0x091FDeb7990D3E00d13c31b81841d56b33164AD7', abi=abi)
myfilter = mycontract.events.currentResponderState.createFilter(fromBlock=16147303)
#myfilt... | [
"from web3.auto.infura import w3\nimport json\nimport os\n\nwith open(\"contract_abi.json\") as f:\n info_json = json.load(f)\nabi = info_json\nmycontract = w3.eth.contract(address='0x091FDeb7990D3E00d13c31b81841d56b33164AD7', abi=abi)\nmyfilter = mycontract.events.currentResponderState.createFilter(fromBlock=16... | false |
8,520 | db33f7386d1eacbfbfd29aa367df310c557ae864 | km=float(input())
cg=float(input())
print(round(km/cg,3),"km/l") | [
"km=float(input())\ncg=float(input())\nprint(round(km/cg,3),\"km/l\")",
"km = float(input())\ncg = float(input())\nprint(round(km / cg, 3), 'km/l')\n",
"<assignment token>\nprint(round(km / cg, 3), 'km/l')\n",
"<assignment token>\n<code token>\n"
] | false |
8,521 | 329451a3d3fa95f5572dc1701d1adbf4aaa72628 | import argparse
from ags_save_parser import saved_game
def report_mismatch(compare_result_list):
report = []
for i in range(len(compare_result_list)):
value = compare_result_list[i]
if value != '_':
report.append((i, value))
return report
def report_mismatch_for_module(
... | [
"import argparse\n\nfrom ags_save_parser import saved_game\n\ndef report_mismatch(compare_result_list):\n report = []\n for i in range(len(compare_result_list)):\n value = compare_result_list[i]\n if value != '_':\n report.append((i, value))\n return report\n\ndef report_mismatch_f... | false |
8,522 | 89ffb2da456d2edf15fde8adc01615a277c6caa1 | import numpy as np
import matplotlib.pyplot as plt
##########################################
# line plot
#########################################
# x축 생략시 x축은 0, 1, 2, 3이 됨
"""
plt.plot([1, 4, 9, 16])
plt.show()
"""
# x축과 y축 지정
"""
plt.plot([10, 20, 30, 40], [1, 4, 9, 16])
plt.show()
"""
# 스타일지정
# 색깔, 마커, 선 순서로 ... | [
"import numpy as np\nimport matplotlib.pyplot as plt\n\n##########################################\n# line plot\n#########################################\n\n# x축 생략시 x축은 0, 1, 2, 3이 됨\n\"\"\"\nplt.plot([1, 4, 9, 16])\nplt.show()\n\"\"\"\n\n\n# x축과 y축 지정\n\"\"\"\nplt.plot([10, 20, 30, 40], [1, 4, 9, 16])\nplt.show(... | false |
8,523 | 947055d1d6acc50e1722d79ea30e327414cd9c41 | N, D = map(int, input().split())
ans = 0
D2 = D*D
for i in range(N):
x, y = map(int, input().split())
if (x*x+y*y) <= D2:
ans += 1
print(ans)
| [
"N, D = map(int, input().split())\nans = 0\nD2 = D*D\nfor i in range(N):\n x, y = map(int, input().split())\n if (x*x+y*y) <= D2:\n ans += 1\n\nprint(ans)\n",
"N, D = map(int, input().split())\nans = 0\nD2 = D * D\nfor i in range(N):\n x, y = map(int, input().split())\n if x * x + y * y <= D2:\... | false |
8,524 | 719a993e1f5c5d1e803b04a5561373f2b9a5a5c2 | def get_perms(string):
toRtn = []
freq_table = count_letters(string)
get_perms_helper(freq_table, "", len(string), toRtn)
return toRtn
def count_letters(string):
freq = {}
for letter in string:
if letter not in freq:
freq[letter] = 0
freq[letter] += 1
return freq... | [
"def get_perms(string):\n toRtn = []\n freq_table = count_letters(string)\n get_perms_helper(freq_table, \"\", len(string), toRtn)\n return toRtn\n\ndef count_letters(string):\n freq = {}\n for letter in string:\n if letter not in freq:\n freq[letter] = 0\n freq[letter] +=... | true |
8,525 | 2a9426653146603d9aa79a59ce181d97aa3c551c | import sys
input = sys.stdin.readline
N = int(input())
A, B, C, D = [], [], [], []
for i in range(N):
a, b, c, d = map(int, input().split())
A.append(a)
B.append(b)
C.append(c)
D.append(d)
AB = []
CD = []
for i in range(N):
for j in range(N):
AB.append(A[i] + B[j])
CD.append(C[... | [
"import sys\ninput = sys.stdin.readline\n\nN = int(input())\nA, B, C, D = [], [], [], []\nfor i in range(N):\n a, b, c, d = map(int, input().split())\n A.append(a)\n B.append(b)\n C.append(c)\n D.append(d)\n\nAB = []\nCD = []\nfor i in range(N):\n for j in range(N):\n AB.append(A[i] + B[j])... | false |
8,526 | 324081eb4e133f6d16e716f3119e4cbc5e045ede | import pytorch_lightning as pl
from matplotlib import pyplot as plt
class Model(pl.LightningModule):
def __init__(self, net):
super(Model, self).__init__()
self.net = net
self.save_hyperparameters()
self.criterion = None
self.optimizer = None
self.batch_loss_colle... | [
"import pytorch_lightning as pl\nfrom matplotlib import pyplot as plt\n\n\nclass Model(pl.LightningModule):\n def __init__(self, net):\n super(Model, self).__init__()\n self.net = net\n self.save_hyperparameters()\n\n self.criterion = None\n self.optimizer = None\n\n sel... | false |
8,527 | 7beb9d9e24f4c9a4e1a486048371da79c35d0927 | """
exercise 9-7-9-2
"""
fname = raw_input("Enter file name: ")
filehandle = open(fname)
d = dict()
for line in filehandle:
newline = line.split()
if newline != [] and newline[0] == 'From':
day = newline[2]
if day not in d:
d[day] = 1
else:
d[day] += 1
print d
| [
"\"\"\"\r\nexercise 9-7-9-2\r\n\r\n\"\"\"\r\n\r\nfname = raw_input(\"Enter file name: \")\r\nfilehandle = open(fname)\r\nd = dict()\r\nfor line in filehandle:\r\n newline = line.split()\r\n if newline != [] and newline[0] == 'From':\r\n day = newline[2]\r\n if day not in d:\r\n d[day] = 1\r\n else:\r\n d[day... | true |
8,528 | e83a9a4675e5beed938860037658d33c4d347b29 | class TestContext:
def test_should_get_variable_from_env(self, monkeypatch, fake_context):
expected = "test"
monkeypatch.setenv("SOURCE_PATH", expected)
actual = fake_context.get("SOURCE_PATH")
assert actual == expected
def test_should_get_variable_from_local_state(self, fake_co... | [
"class TestContext:\n def test_should_get_variable_from_env(self, monkeypatch, fake_context):\n expected = \"test\"\n monkeypatch.setenv(\"SOURCE_PATH\", expected)\n actual = fake_context.get(\"SOURCE_PATH\")\n assert actual == expected\n\n def test_should_get_variable_from_local_s... | false |
8,529 | fd0db093b72dad4657d71788405fcca4ba55daff | __doc__ = """
Dataset Module Utilities - mostly for handling files and datasets
"""
import glob
import os
import random
from meshparty import mesh_io
# Datasets -----------------------
SVEN_BASE = "seungmount/research/svenmd"
NICK_BASE = "seungmount/research/Nick/"
BOTH_BASE = "seungmount/research/nick_and_sven"
DAT... | [
"__doc__ = \"\"\"\nDataset Module Utilities - mostly for handling files and datasets\n\"\"\"\nimport glob\nimport os\nimport random\n\nfrom meshparty import mesh_io\n\n\n# Datasets -----------------------\nSVEN_BASE = \"seungmount/research/svenmd\"\nNICK_BASE = \"seungmount/research/Nick/\"\nBOTH_BASE = \"seungmoun... | false |
8,530 | 47b40e4311f76cd620b7c6ed6b39216d866fa857 | import requests
import json
import hashlib
import os
def pull_from_solr(output_directory):
solr_url = 'http://54.191.81.42:8888/solr/collection1/select?q=*%3A*&wt=json&indent=true'
# TODO: ask about auth for this
req = requests.get(solr_url)
if req.status_code != 200:
raise
new_data = r... | [
"import requests\nimport json\nimport hashlib\nimport os\n\n\ndef pull_from_solr(output_directory):\n solr_url = 'http://54.191.81.42:8888/solr/collection1/select?q=*%3A*&wt=json&indent=true'\n\n # TODO: ask about auth for this\n req = requests.get(solr_url)\n\n if req.status_code != 200:\n raise... | false |
8,531 | 1da93e9113089f1a2881d4094180ba524d0d4a86 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
Frame filtering
'''
import numpy as np
import cv2
def filter_frames(frames, method=cv2.HISTCMP_CORREL, target_size=(64, 64), threshold=0.65):
"""Filter noisy frames out
Args:
frames (list<numpy.ndarray[H, W, 3]>): video frames
method (int, o... | [
"#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n\n'''\nFrame filtering\n'''\n\nimport numpy as np\nimport cv2\n\n\ndef filter_frames(frames, method=cv2.HISTCMP_CORREL, target_size=(64, 64), threshold=0.65):\n \"\"\"Filter noisy frames out\n\n Args:\n frames (list<numpy.ndarray[H, W, 3]>): video frames... | false |
8,532 | 5c12ff4f88af991fa275cd08adf3678ee4a678f3 | #!/usr/bin/python
#===============================================================================
#
# Board Data File Analyzer
#
# Copyright (c) 2017 by QUALCOMM Atheros, Incorporated.
# All Rights Reserved
# QUALCOMM Atheros Confidential and Proprietary
#
# Notifications and licenses are retained for attribution purp... | [
"#!/usr/bin/python\n#===============================================================================\n#\n# Board Data File Analyzer\n#\n# Copyright (c) 2017 by QUALCOMM Atheros, Incorporated.\n# All Rights Reserved\n# QUALCOMM Atheros Confidential and Proprietary\n#\n# Notifications and licenses are retained for at... | true |
8,533 | 315fe68f4adf39ded46fa9ad059fd2e962e46437 | import matplotlib.pyplot as plt
import numpy as np
from sklearn.utils import shuffle
import math
import vis_utils
class FLAGS(object):
image_height = 100
image_width = 100
image_channel = 1
CORRECT_ORIENTATION = True
class PrepareData():
def __init__(self):
... | [
"import matplotlib.pyplot as plt\nimport numpy as np\nfrom sklearn.utils import shuffle\nimport math\nimport vis_utils\n\n\nclass FLAGS(object):\n image_height = 100\n image_width = 100\n image_channel = 1\n \n CORRECT_ORIENTATION = True\n \n \n \nclass PrepareData():\n def __init__(s... | false |
8,534 | c931d1ac5c2d003a8eaac3c6d777ce408df57117 | '''
Autor: Jazielinho
'''
import keyboard
from PIL import ImageGrab
import os
import tqdm
import random
from training import config_tr
class DataSet(object):
''' clase que crea dataset de entrenamiento '''
saltar = 'saltar'
nada = 'nada'
reglas = [saltar, nada]
formato = 'PNG'
train = 'trai... | [
"'''\nAutor: Jazielinho\n'''\n\nimport keyboard\nfrom PIL import ImageGrab\nimport os\nimport tqdm\nimport random\n\nfrom training import config_tr\n\n\nclass DataSet(object):\n ''' clase que crea dataset de entrenamiento '''\n\n saltar = 'saltar'\n nada = 'nada'\n reglas = [saltar, nada]\n formato =... | false |
8,535 | 0b2bc19aea9393562f79df026bc17513e25c6604 | __author__ = 'Chitrang'
from google.appengine.api import memcache
from google.appengine.ext import db
import logging
import os
import jinja2
class User(db.Model):
id = db.StringProperty(required=True)
created = db.DateTimeProperty(auto_now_add=True)
updated = db.DateTimeProperty(auto_now=True)
name =... | [
"__author__ = 'Chitrang'\n\nfrom google.appengine.api import memcache\nfrom google.appengine.ext import db\nimport logging\nimport os\nimport jinja2\n\nclass User(db.Model):\n\n id = db.StringProperty(required=True)\n created = db.DateTimeProperty(auto_now_add=True)\n updated = db.DateTimeProperty(auto_now... | false |
8,536 | 89499ea8dd02d5e1b2ff635ab5203a65ceee4276 | import os
import codecs
import json
#~ from lxml import etree
import lxml.html
target = "test/index.html"
url = "http://de.wikipedia.org/wiki/Liste_von_Bergen_in_der_Schweiz"
command = "wget %s -O %s" % (url, target)
#~ os.popen(command)
f = open(target)
html = lxml.html.fromstring(f.read())
f.close()
tables = html.... | [
"import os\nimport codecs\nimport json\n#~ from lxml import etree\nimport lxml.html\n\ntarget = \"test/index.html\"\nurl = \"http://de.wikipedia.org/wiki/Liste_von_Bergen_in_der_Schweiz\"\ncommand = \"wget %s -O %s\" % (url, target)\n#~ os.popen(command)\n\nf = open(target)\nhtml = lxml.html.fromstring(f.read())\nf... | true |
8,537 | 99048ddb3f42382c8b8b435d832a45011a031cf1 | from .score_funcs import *
from cryptonita.fuzzy_set import FuzzySet
from cryptonita.helpers import are_bytes_or_fail
def scoring(msg, space, score_func, min_score=0.5, **score_func_params):
''' Run the score function over the given message and over a parametric
value x. Return all the values x as a Fuzz... | [
"from .score_funcs import *\n\nfrom cryptonita.fuzzy_set import FuzzySet\nfrom cryptonita.helpers import are_bytes_or_fail\n\n\ndef scoring(msg, space, score_func, min_score=0.5, **score_func_params):\n ''' Run the score function over the given message and over a parametric\n value x. Return all the value... | false |
8,538 | 503726cd2d70286189f4b8e02acaa3d5f6e29e12 | from django import forms
from django.contrib.auth.forms import UserCreationForm
from django.contrib.auth.models import User
from . import models
class RegisterForm(UserCreationForm):
email = forms.EmailField(required=True)
class Meta:
model = User
fields = ("username", "email", "password1", "... | [
"from django import forms\nfrom django.contrib.auth.forms import UserCreationForm\nfrom django.contrib.auth.models import User\nfrom . import models\n\n\nclass RegisterForm(UserCreationForm):\n email = forms.EmailField(required=True)\n\n class Meta:\n model = User\n fields = (\"username\", \"ema... | false |
8,539 | 773c217f7f76bd82ed3dabf7ae1aba1871f0932f | import requests
import unittest
import time
from common import HTMLTestReport
class Get(unittest.TestCase):
TMPTOKEN = ''
TOKEN = ''
def setUp(self):
pass
# 获取临时token，opterTmpToken
def test_gettmptoken(self):
url = 'https://jdapi.jd100.com/uc/core/v1/sys/opterTmpToken'
par... | [
"import requests\nimport unittest\nimport time\nfrom common import HTMLTestReport\n\n\nclass Get(unittest.TestCase):\n TMPTOKEN = ''\n TOKEN = ''\n def setUp(self):\n pass\n\n # 获取临时token，opterTmpToken\n def test_gettmptoken(self):\n url = 'https://jdapi.jd100.com/uc/core/v1/sys/opterTm... | false |
8,540 | e26f673dfae38148a56927ce82d5ea7ea2545e12 | x = 'From marquard@uct.ac.za'
print(x[8])
x = 'From marquard@uct.ac.za'
print(x[14:17])
greet = 'Hello Bob'
xa = "aaa"
print(greet.upper())
print(len('banana')*7)
data = 'From stephen.marquard@uct.ac.za Sat Jan 5 09:14:16 2008'
pos = data.find('.')
print(data[pos:pos+3])
stuff = dict()
print(stuff.get('candy',-1... | [
"x = 'From marquard@uct.ac.za'\nprint(x[8])\n\nx = 'From marquard@uct.ac.za'\nprint(x[14:17])\n\ngreet = 'Hello Bob'\nxa = \"aaa\"\nprint(greet.upper())\n\n\nprint(len('banana')*7)\n\ndata = 'From stephen.marquard@uct.ac.za Sat Jan 5 09:14:16 2008'\npos = data.find('.')\nprint(data[pos:pos+3])\n\nstuff = dict()\np... | false |
8,541 | f32b9dc36b2452fea8c8f284fbf800f22608c3ae | import csv
import io
import pickle
import os
import pip
from googleapiclient.discovery import build
from google_auth_oauthlib.flow import InstalledAppFlow
from google.auth.transport.requests import Request
from googleapiclient.http import MediaIoBaseDownload
import cv2
import numpy as np
SCOPES = ['https:/... | [
"import csv\r\nimport io\r\nimport pickle\r\nimport os\r\nimport pip\r\nfrom googleapiclient.discovery import build\r\nfrom google_auth_oauthlib.flow import InstalledAppFlow\r\nfrom google.auth.transport.requests import Request\r\nfrom googleapiclient.http import MediaIoBaseDownload\r\nimport cv2\r\nimport numpy as... | false |
8,542 | 0ca751e050244fd85c8110d02d5e7a79eb449ada | print('Hi, I am Nag')
| [
"print('Hi, I am Nag')\n",
"<code token>\n"
] | false |
8,543 | 274af2a0b758472ca4116f1dfa47069647babf57 | import seaborn as sns
tips = sns.load_dataset('iris')
sns.violinplot(x='species', y='sepal_length', data=tips, palette='rainbow')
| [
"import seaborn as sns\n\ntips = sns.load_dataset('iris')\nsns.violinplot(x='species', y='sepal_length', data=tips, palette='rainbow')\n",
"import seaborn as sns\ntips = sns.load_dataset('iris')\nsns.violinplot(x='species', y='sepal_length', data=tips, palette='rainbow')\n",
"<import token>\ntips = sns.load_dat... | false |
8,544 | 7f21ab8d332d169226ef17276abbdd373e3a62c2 | import http.cookies
import json
import os
import itertools
import types
from framework import helpers
from framework import security
class Model:
"""Manages the information received by the client"""
def __init__(self):
"""Puth the os.environ dict into the namespace"""
self.__dict__.update(
... | [
"import http.cookies\nimport json\nimport os\nimport itertools\nimport types\n\nfrom framework import helpers\nfrom framework import security\n\n\nclass Model:\n \"\"\"Manages the information received by the client\"\"\"\n\n def __init__(self):\n \"\"\"Puth the os.environ dict into the namespace\"\"\"\... | false |
8,545 | 961bda96e433bb66d592ad1e99c92db0a9ab9fe9 | import os
import pandas as pd
import time
import sys
from tqdm import tqdm
sys.path.append(os.path.join(os.environ['HOME'],'Working/interaction/'))
from src.make import exec_gjf
from src.vdw import vdw_R, get_c_vec_vdw
from src.utils import get_E
import argparse
import numpy as np
from scipy import signal
i... | [
"import os\r\nimport pandas as pd\r\nimport time\r\nimport sys\r\nfrom tqdm import tqdm\r\nsys.path.append(os.path.join(os.environ['HOME'],'Working/interaction/'))\r\nfrom src.make import exec_gjf\r\nfrom src.vdw import vdw_R, get_c_vec_vdw\r\nfrom src.utils import get_E\r\nimport argparse\r\nimport numpy as np\r\n... | false |
8,546 | 11320922d24b27c5cfa714f88eb0a757deef987f | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT License
from .attack_models import (DriftAttack, AdditiveGaussian, RandomGaussian,
BitFlipAttack, RandomSignFlipAttack)
from typing import Dict
def get_attack(attack_config: Dict):
if attack_config["attack_model"] == 'drif... | [
"# Copyright (c) Microsoft Corporation.\n# Licensed under the MIT License\nfrom .attack_models import (DriftAttack, AdditiveGaussian, RandomGaussian,\n BitFlipAttack, RandomSignFlipAttack)\nfrom typing import Dict\n\n\ndef get_attack(attack_config: Dict):\n if attack_config[\"attack_mo... | false |
8,547 | d08e4c85890dab7cb421fa994ef1947d8919d58f | # -*- coding: utf-8 -*-
# Item pipelines
import logging
import hashlib
from wsgiref.handlers import format_date_time
import time
import itertools
import psycopg2
from psycopg2.extensions import AsIs
from psycopg2.extras import Json
import requests
from scrapy import signals
from scrapy.pipelines.files import FilesPip... | [
"# -*- coding: utf-8 -*-\n\n# Item pipelines\nimport logging\nimport hashlib\nfrom wsgiref.handlers import format_date_time\nimport time\nimport itertools\n\nimport psycopg2\nfrom psycopg2.extensions import AsIs\nfrom psycopg2.extras import Json\nimport requests\nfrom scrapy import signals\nfrom scrapy.pipelines.fi... | false |
8,548 | 3caaa455cda0567b79ae063c777846157839d64f | from django.shortcuts import redirect, render
from users.models import CustomUser
from .models import Profile
def profile_page_view(request, username):
current_user = request.user
user = CustomUser.objects.get(username=username)
profile = Profile.objects.get(user=user)
if current_user in profile.follow... | [
"from django.shortcuts import redirect, render\nfrom users.models import CustomUser\nfrom .models import Profile\n\ndef profile_page_view(request, username):\n current_user = request.user\n user = CustomUser.objects.get(username=username)\n profile = Profile.objects.get(user=user)\n if current_user in p... | false |
8,549 | 71ca67948100fb7ad388934740cead1ebe4a2b52 | ANCHO = 600
ALTO = 800
| [
"ANCHO = 600\nALTO = 800\n",
"<assignment token>\n"
] | false |
8,550 | 6065fae2a11f6b525ef10346e297505ec9d4e9d5 | import unittest
import numpy
import set_solver
class TestSets(unittest.TestCase):
def test_is_set(self):
"""Test set validator (Exercise 3a)."""
cards = numpy.array([[1,1,1,2,0],
[0,1,2,2,2],
[0,1,2,2,2],
[0,1,2... | [
"import unittest\nimport numpy\nimport set_solver\n\nclass TestSets(unittest.TestCase):\n\n def test_is_set(self):\n \"\"\"Test set validator (Exercise 3a).\"\"\"\n cards = numpy.array([[1,1,1,2,0],\n [0,1,2,2,2],\n [0,1,2,2,2],\n ... | false |
8,551 | 39ffb85fb10882041c2c9a81d796e7ff9df7d930 | # SPDX-FileCopyrightText: 2013 The glucometerutils Authors
#
# SPDX-License-Identifier: Unlicense
| [
"# SPDX-FileCopyrightText: 2013 The glucometerutils Authors\n#\n# SPDX-License-Identifier: Unlicense\n",
""
] | false |
8,552 | 77b9b111cfb4d0b54e14b2aab81b7b05fd6bbccd | s = 'ejp mysljylc kd kxveddknmc re jsicpdrysirbcpc ypc rtcsra dkh wyfrepkym veddknkmkrkcdde kr kd eoya kw aej tysr re ujdr lkgc jv'
sa = 'our language is impossible to understandthere are twenty six factorial possibilitiesso it is okay if you want to just give up'
ans = {}
for i in range(len(s)):
ans[s[i]] = sa[i];
... | [
"s = 'ejp mysljylc kd kxveddknmc re jsicpdrysirbcpc ypc rtcsra dkh wyfrepkym veddknkmkrkcdde kr kd eoya kw aej tysr re ujdr lkgc jv'\nsa = 'our language is impossible to understandthere are twenty six factorial possibilitiesso it is okay if you want to just give up'\n\nans = {}\nfor i in range(len(s)):\n ans[s[i]]... | false |
8,553 | b4b2307897f64bb30cad2fbaaa1b320ae2aa7456 | # Generated by Django 2.1.5 on 2019-03-12 18:07
from django.db import migrations
def associate_experiments_to_organisms(apps, schema_editor):
"""Creates missing associations between experiments and organisms.
Based off of:
https://simpleisbetterthancomplex.com/tutorial/2017/09/26/how-to-create-django-da... | [
"# Generated by Django 2.1.5 on 2019-03-12 18:07\n\nfrom django.db import migrations\n\n\ndef associate_experiments_to_organisms(apps, schema_editor):\n \"\"\"Creates missing associations between experiments and organisms.\n\n Based off of:\n https://simpleisbetterthancomplex.com/tutorial/2017/09/26/how-to... | false |
8,554 | 9fa3a7c57b311a47e67de73bf6083f1f151d73f4 | from flask import Flask, render_template, request
import random, requests
app = Flask(__name__)
@app.route('/')
def hello():
# return 'Hello World'
return render_template('index.html')
# root 디렉토리에 있는 templates라는 폴더를 탐색하여 파일을 찾음
@app.route('/ace')
def ace():
return '불기둥!'
@app.route('/html')
def html... | [
"from flask import Flask, render_template, request\nimport random, requests\napp = Flask(__name__)\n\n@app.route('/')\ndef hello():\n # return 'Hello World'\n return render_template('index.html')\n # root 디렉토리에 있는 templates라는 폴더를 탐색하여 파일을 찾음\n\n@app.route('/ace')\ndef ace():\n return '불기둥!'\n\n@app.rout... | false |
8,555 | f11ede752df7d9aff672eee4e230b109fcbf987b | # coding: gb18030
from setuptools import setup
setup(
name="qlquery",
version="1.0",
license="MIT",
packages=['qlquery'],
install_requires=[
'my-fake-useragent',
'requests',
'beautifulsoup4'
],
zip_safe=False
) | [
"# coding: gb18030\n\nfrom setuptools import setup\n\nsetup(\n name=\"qlquery\",\n version=\"1.0\",\n license=\"MIT\",\n packages=['qlquery'],\n install_requires=[\n 'my-fake-useragent',\n 'requests',\n 'beautifulsoup4'\n ],\n zip_safe=False\n)",
"from setuptools import s... | false |
8,556 | 5cf73e003b744b438c0db67ab39fb10a3f879f2f | import numpy as np
import math
class KMeans(object):
def __init__(self, data, option):
self.data = data
self.membership = None
self.centroids = None
self.option = option
self.temp_data = None
def fit(self, K):
data = np.asmatrix(self.data[0])
if self.o... | [
"import numpy as np\nimport math\n\n\nclass KMeans(object):\n\n def __init__(self, data, option):\n self.data = data\n self.membership = None\n self.centroids = None\n self.option = option\n self.temp_data = None\n\n def fit(self, K):\n data = np.asmatrix(self.data[0]... | false |
8,557 | c9df53ac06b8bb106d73825d60fa885c06385e95 | import contextlib
import logging
import os
import pwd
import sys
from typing import Iterable
from sqlalchemy import Table, exists, null, select
from sqlalchemy.engine import Engine
from sqlalchemy.exc import DBAPIError
from sqlalchemy.pool import NullPool
from hades import constants
from hades.common import db
from h... | [
"import contextlib\nimport logging\nimport os\nimport pwd\nimport sys\nfrom typing import Iterable\n\nfrom sqlalchemy import Table, exists, null, select\nfrom sqlalchemy.engine import Engine\nfrom sqlalchemy.exc import DBAPIError\nfrom sqlalchemy.pool import NullPool\n\nfrom hades import constants\nfrom hades.commo... | false |
8,558 | 0a5ea7ad0ee34c8a3f0299908c61fa0a09139d2f | #Diagonal Traverse
#Given a matrix of M x N elements (M rows, N columns), return all elements of the matrix in diagonal
order as shown in the below image.
#Example:
#Input:
#[
# [ 1, 2, 3 ],
# [ 4, 5, 6 ],
# [ 7, 8, 9 ]
#]
#Output: [1,2,4,7,5,3,6,8,9]
#Explanation:
#Note:
# The total number of elements of the given... | [
"#Diagonal Traverse\n#Given a matrix of M x N elements (M rows, N columns), return all elements of the matrix in diagonal\norder as shown in the below image.\n#Example:\n#Input:\n#[\n# [ 1, 2, 3 ],\n# [ 4, 5, 6 ],\n# [ 7, 8, 9 ]\n#]\n#Output: [1,2,4,7,5,3,6,8,9]\n#Explanation:\n#Note:\n# The total number of ele... | true |
8,559 | addab37cb23abead2d9f77a65336cd6026c52c68 | #coding=utf-8
'''
find words and count
By @liuxingpuu
'''
import re
fin= open("example","r")
fout = open("reuslt.txt","w")
str=fin.read()
reObj = re.compile("\b?([a-zA-Z]+)\b?")
words = reObj.findall(str)
word_dict={}
for word in words:
if(word_dict.has_key(word)):
word_dict[word.lower()]=max(word_dict[wor... | [
"#coding=utf-8\n'''\nfind words and count\nBy @liuxingpuu\n'''\nimport re\n\nfin= open(\"example\",\"r\")\nfout = open(\"reuslt.txt\",\"w\")\nstr=fin.read()\nreObj = re.compile(\"\\b?([a-zA-Z]+)\\b?\")\nwords = reObj.findall(str)\nword_dict={}\nfor word in words:\n if(word_dict.has_key(word)):\n word_dict... | false |
8,560 | 93418e554893db4eb888396e8d6f60a8364d9ee3 | #coding: utf-8
from django.conf.urls import patterns, url
import views
urlpatterns = patterns('',
url(r'^douban/books$', views.BookList.as_view()),
)
| [
"#coding: utf-8\n\nfrom django.conf.urls import patterns, url\n\nimport views\n\nurlpatterns = patterns('',\n url(r'^douban/books$', views.BookList.as_view()),\n)\n\n",
"from django.conf.urls import patterns, url\nimport views\nurlpatterns = patterns('', url('^douban/books$', views.BookList.as_view()))\n",
"... | false |
8,561 | 4c4275b96d3eceb5ff89a746c68d7f8736a1c2a5 | staff = ['инженер-конструктор Игорь', 'главный бухгалтер МАРИНА', 'токарь высшего разряда нИКОЛАй', 'директор аэлита']
def employee_name(name):
getting_a_name = name.split()
name_staff = getting_a_name[-1]
name_staff = name_staff.capitalize()
return name_staff
i = 0
while i < len(staff):
nam... | [
"staff = ['инженер-конструктор Игорь', 'главный бухгалтер МАРИНА', 'токарь высшего разряда нИКОЛАй', 'директор аэлита']\r\ndef employee_name(name):\r\n getting_a_name = name.split()\r\n name_staff = getting_a_name[-1]\r\n name_staff = name_staff.capitalize()\r\n return name_staff\r\ni = 0\r\nwhile i < l... | false |
8,562 | 631904ae96584bd19756f9335175a419397ac252 | from os import environ
import boto3
from flask import Flask, redirect
from flask_sqlalchemy import SQLAlchemy
from json import load
from pathlib import Path
path = Path(__file__).parent
db = SQLAlchemy()
with open(path / "../schemas.json", "r") as fp:
schemas = load(fp)
with open(path / "../config.json", "r"... | [
"from os import environ\n\nimport boto3\nfrom flask import Flask, redirect\nfrom flask_sqlalchemy import SQLAlchemy\nfrom json import load\nfrom pathlib import Path\n\n\npath = Path(__file__).parent\n\n\ndb = SQLAlchemy()\n\nwith open(path / \"../schemas.json\", \"r\") as fp:\n schemas = load(fp)\n\nwith open(pa... | false |
8,563 | e41b5ee0dff30cca51593e737420889bce8f419f | """
Simple python script to help learn basic socket API
"""
import sys, socket
HOSTNAME = sys.argv[-2]
PORT = sys.argv[-1]
options = ( HOSTNAME, int(PORT) )
print options
print 'creating socket...'
sock = socket.socket()
print 'socket created'
print 'connecting...'
sock.connect(options)
print 'connected'
print 's... | [
"\"\"\"\nSimple python script to help learn basic socket API\n\"\"\"\n\nimport sys, socket\n\nHOSTNAME = sys.argv[-2]\nPORT = sys.argv[-1]\n\noptions = ( HOSTNAME, int(PORT) )\nprint options\n\nprint 'creating socket...'\nsock = socket.socket()\nprint 'socket created'\n\nprint 'connecting...'\nsock.connect(options)... | true |
8,564 | bf764457e6af25d2d9406b18af51f63b36ab823a | import cv2 as cv
import numpy as np
import sys
from meio_tom_lib import *
imgname = sys.argv[1]
imgpath = "img/" + imgname
try:
img = cv.imread(imgpath)
newimg1 = jarvis_judice_ninke_1(img)*255
newimg2 = jarvis_judice_ninke_2(img)*255
cv.imshow("Imagem original",img)
cv.imshow("Jarvis, Judice e... | [
"import cv2 as cv\nimport numpy as np\nimport sys\nfrom meio_tom_lib import *\n\nimgname = sys.argv[1]\nimgpath = \"img/\" + imgname\n\n\ntry:\n img = cv.imread(imgpath)\n\n newimg1 = jarvis_judice_ninke_1(img)*255\n newimg2 = jarvis_judice_ninke_2(img)*255\n\n cv.imshow(\"Imagem original\",img)\n cv... | false |
8,565 | db31a69c57f773a79e5eaa8b3443b0366fd74861 | import random
from typing import List
from faker import Faker
from call_center.src.actors.agent import InsuranceAgent
from call_center.src.actors.consumer import Consumer
from call_center.src.common.person import (
AGE,
AVAILABLE,
INSURANCE_OPERATION,
PHONE_NUMBER,
INCOME,
CARS_COUNT,
KID... | [
"import random\n\nfrom typing import List\n\nfrom faker import Faker\n\nfrom call_center.src.actors.agent import InsuranceAgent\nfrom call_center.src.actors.consumer import Consumer\nfrom call_center.src.common.person import (\n AGE,\n AVAILABLE,\n INSURANCE_OPERATION,\n PHONE_NUMBER,\n INCOME,\n ... | false |
8,566 | 2332783c96b24caa383bf47d82384e1c40a48e94 | # 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 copy
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _ut... | [
"# coding=utf-8\n# *** WARNING: this file was generated by the Pulumi SDK Generator. ***\n# *** Do not edit by hand unless you're certain you know what you are doing! ***\n\nimport copy\nimport warnings\nimport pulumi\nimport pulumi.runtime\nfrom typing import Any, Mapping, Optional, Sequence, Union, overload\nfrom... | false |
8,567 | 2b3f8b1ac4735785683c00f6e6ced85d201de53f | from app01 import models
from rest_framework.views import APIView
# from api.utils.response import BaseResponse
from rest_framework.response import Response
from rest_framework.pagination import PageNumberPagination
from api.serializers.course import DegreeCourseSerializer
# 查询所有学位课程
class DegreeCourseView(APIView):... | [
"from app01 import models\nfrom rest_framework.views import APIView\n# from api.utils.response import BaseResponse\nfrom rest_framework.response import Response\nfrom rest_framework.pagination import PageNumberPagination\nfrom api.serializers.course import DegreeCourseSerializer\n\n\n# 查询所有学位课程\n\nclass DegreeCours... | false |
8,568 | 065354d2a8fd8a75e16bf85f624b12641377029a | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Author : 河北雪域网络科技有限公司 A.Star
# @contact: astar@snowland.ltd
# @site:
# @file: img_to_sketch.py
# @time: 2018/8/6 1:15
# @Software: PyCharm
from skimage.color import rgb2grey
import numpy as np
def sketch(img, threshold=15):
"""
素描画生成
param img: Image实例
... | [
"#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n# @Author : 河北雪域网络科技有限公司 A.Star\n# @contact: astar@snowland.ltd\n# @site: \n# @file: img_to_sketch.py\n# @time: 2018/8/6 1:15\n# @Software: PyCharm\n\nfrom skimage.color import rgb2grey\nimport numpy as np\n\n\ndef sketch(img, threshold=15):\n \"\"\"\n 素描画生成\n... | false |
8,569 | ce8879dae6c7585a727e35f588722bc28045256a | # Ex 1
numbers = [10,20,30, 9,-12]
print("The sum of 'numbers' is:",sum(numbers))
# Ex 2
print("The largest of 'numbers' is:",max(numbers))
# Ex 3
print("The smallest of 'numbers' is:",min(numbers))
# Ex 4
for i in numbers:
if (i % 2 == 0):
print(i,"is even.")
# Ex 5
for i in numbers:
if (i > 0):
... | [
"# Ex 1\nnumbers = [10,20,30, 9,-12]\nprint(\"The sum of 'numbers' is:\",sum(numbers))\n\n# Ex 2\nprint(\"The largest of 'numbers' is:\",max(numbers))\n# Ex 3\nprint(\"The smallest of 'numbers' is:\",min(numbers))\n# Ex 4\nfor i in numbers:\n if (i % 2 == 0):\n print(i,\"is even.\")\n# Ex 5\nfor i in numb... | false |
8,570 | 797e7c1b3e8b41a167bfbedfb6a9449e6426ba22 | # -*- coding: utf-8 -*-
{
'name': 'EDC Analytic Entry',
'depends': [
'stock_account',
'purchase_stock',
'account_accountant',
],
"description": """
""",
'author': "Ejaftech",
'data': [
'views/account_move_view.xml',
],
}
| [
"# -*- coding: utf-8 -*-\n{\n 'name': 'EDC Analytic Entry',\n 'depends': [\n 'stock_account',\n 'purchase_stock',\n 'account_accountant',\n\n ],\n \"description\": \"\"\"\n \"\"\",\n 'author': \"Ejaftech\",\n\n 'data': [\n 'views/account_move_view.xml',\n ],\n}\n",... | false |
8,571 | a52edeec62a6849bda7e5a5481fb6e3d7d9a4c6a | """Utilties to access a column and one field of a column if the column is composite."""
from typing import TYPE_CHECKING, Optional
from greenplumpython.db import Database
from greenplumpython.expr import Expr
from greenplumpython.type import DataType
if TYPE_CHECKING:
from greenplumpython.dataframe import DataFra... | [
"\"\"\"Utilties to access a column and one field of a column if the column is composite.\"\"\"\nfrom typing import TYPE_CHECKING, Optional\n\nfrom greenplumpython.db import Database\nfrom greenplumpython.expr import Expr\nfrom greenplumpython.type import DataType\n\nif TYPE_CHECKING:\n from greenplumpython.dataf... | false |
8,572 | 51a8b963047215bf864eb4a3e62beb5741dfbafe | class Graph():
def __init__(self, nvertices):
self.N = nvertices
self.graph = [[0 for column in range(nvertices)]
for row in range(nvertices)]
self.V = ['0' for column in range(nvertices)]
def nameVertex(self):
for i in range(self.N):
pr... | [
"class Graph(): \n \n def __init__(self, nvertices): \n self.N = nvertices \n self.graph = [[0 for column in range(nvertices)] \n for row in range(nvertices)] \n self.V = ['0' for column in range(nvertices)]\n\n def nameVertex(self):\n for i in range(self.N):\... | false |
8,573 | db46fbfb1acd855eebb5c9f557d70038b84e812d | import surname_common as sc
from sklearn.utils import shuffle
import glob
import os
import re
import pprint
import pandas as pd
import unicodedata
import string
def unicode_to_ascii(s):
return ''.join(
c for c in unicodedata.normalize('NFD', s)
if unicodedata.category(c) != 'Mn' and c in sc.ALL_LE... | [
"import surname_common as sc\nfrom sklearn.utils import shuffle\nimport glob\nimport os\nimport re\nimport pprint\nimport pandas as pd\nimport unicodedata\nimport string\n\n\ndef unicode_to_ascii(s):\n return ''.join(\n c for c in unicodedata.normalize('NFD', s)\n if unicodedata.category(c) != 'Mn'... | false |
8,574 | c20a414f7f96a96f6e458fc27e5d2c7ac7ab05cf | def ispalindrome(s):
if len(s) <= 1:
return True
elif s[0] != s[-1]:
return False
else:
return ispalindrome(s[1:-1]) | [
"def ispalindrome(s):\n if len(s) <= 1:\n return True\n elif s[0] != s[-1]:\n return False\n else:\n return ispalindrome(s[1:-1])",
"def ispalindrome(s):\n if len(s) <= 1:\n return True\n elif s[0] != s[-1]:\n return False\n else:\n return ispalindrome(s... | false |
8,575 | 866ff68744a16158b7917ca6defc35440208ae71 | from django.shortcuts import render
from rest_framework import status
from rest_framework.views import APIView
from rest_framework.response import Response
from polls.models import Poll
from .serializers import PollSerializer
# class PollView(APIView):
#
# def get(self, request):
# serializer = PollSeri... | [
"from django.shortcuts import render\n\nfrom rest_framework import status\nfrom rest_framework.views import APIView\nfrom rest_framework.response import Response\n\nfrom polls.models import Poll\nfrom .serializers import PollSerializer\n\n\n# class PollView(APIView):\n#\n# def get(self, request):\n# ser... | false |
8,576 | bdda42665acfefccad45a2b49f5436a186140579 | class people:
def __init__(self, name):
self.name = name
self.purchase_descrip = []
self.purchase_price_descrip = []
self.purchases = []
self.total_spent = 0
self.debt = 0
self.debt_temp = 0
self.pay = []
self.pay_out = []
self.pay_who... | [
"class people:\n\n def __init__(self, name):\n self.name = name\n self.purchase_descrip = []\n self.purchase_price_descrip = []\n self.purchases = []\n self.total_spent = 0\n self.debt = 0\n self.debt_temp = 0\n self.pay = []\n self.pay_out = []\n ... | false |
8,577 | 1f86fe72c90c8457715a2f400dae8d355a9a97cf | from HiddenLayer import HiddenLayer
from Vector import Vector
import IO
import Loss
import Utils
import Activation
import Backpropagation
import Rate
# As a test, let's simulate the OR-gate with a single perceptron
""" training = []
training.append(Vector(2, arr=[1, 1]))
training.append(Vector(2, arr=[1, 0]))
trainin... | [
"from HiddenLayer import HiddenLayer\nfrom Vector import Vector\nimport IO\nimport Loss\nimport Utils\nimport Activation\nimport Backpropagation\nimport Rate\n\n\n# As a test, let's simulate the OR-gate with a single perceptron\n\"\"\" training = []\ntraining.append(Vector(2, arr=[1, 1]))\ntraining.append(Vector(2,... | false |
8,578 | 18789b5106d4be8a02197b165e16a74c08a58c66 | import math
def sexpr_key(s_expr):
return s_expr.strip('(').split(' ')[0]
def expr_key(expr):
return expr.split(' ')[0]
def expr_data(expr):
return expr.split(' ')[1:]
def list_key(_list):
if type(_list) is type(list()):
return _list[0]
else:
return expr_key(_list)
def ... | [
"import math\n\ndef sexpr_key(s_expr):\n return s_expr.strip('(').split(' ')[0]\n\ndef expr_key(expr):\n return expr.split(' ')[0]\n\ndef expr_data(expr):\n return expr.split(' ')[1:]\n\ndef list_key(_list):\n if type(_list) is type(list()):\n return _list[0]\n else:\n return expr_key(_... | false |
8,579 | fc20a2bf09d510892a4d144fbbd2cb2012c3ad98 | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'FormHello.ui'
#
# Created by: PyQt5 UI code generator 5.15.4
#
# WARNING: Any manual changes made to this file will be lost when pyuic5 is
# run again. Do not edit this file unless you know what you are doing.
from PyQt5 import QtCore, Qt... | [
"# -*- coding: utf-8 -*-\n\n# Form implementation generated from reading ui file 'FormHello.ui'\n#\n# Created by: PyQt5 UI code generator 5.15.4\n#\n# WARNING: Any manual changes made to this file will be lost when pyuic5 is\n# run again. Do not edit this file unless you know what you are doing.\n\n\nfrom PyQt5 im... | false |
8,580 | 4282303e3e6ee122f1379bea73c619870f983f61 | age=int(input('请输入您的年龄：'))
subject=input('请输入您的专业：')
college=input('请输入您是否毕业于重点大学：(是/不是)')
if (subject=='电子信息工程' and age>25) or (subject=='电子信息工程' and college=='是') or (age<28 and subject=='计算机'):
print('恭喜您被录取！')
else:
print('抱歉，您未达到面试要求')
| [
"age=int(input('请输入您的年龄：'))\nsubject=input('请输入您的专业：')\ncollege=input('请输入您是否毕业于重点大学：(是/不是)')\nif (subject=='电子信息工程' and age>25) or (subject=='电子信息工程' and college=='是') or (age<28 and subject=='计算机'):\n print('恭喜您被录取！')\nelse:\n print('抱歉，您未达到面试要求')\n",
"age = int(input('请输入您的年龄：'))\nsubject = input('请输入您的专... | false |
8,581 | 47259844f76f12060f0cf52f1086c05b9f300175 | def firstDuplicate(array):
"""
Time O(n) | Space O(n)
"""
dic = {}
for num in array:
if num in dic:
return num
else:
dic[num] = True
return -1
print(firstDuplicate([2,1,3,5,3])) | [
"def firstDuplicate(array):\n \"\"\"\n Time O(n) | Space O(n)\n \"\"\"\n dic = {}\n for num in array:\n if num in dic:\n return num\n else:\n dic[num] = True\n return -1\nprint(firstDuplicate([2,1,3,5,3]))",
"def firstDuplicate(array):\n \"\"\"\n Time O(... | false |
8,582 | f9ea29f882c6491a2ac0007e4d9435c732d0967a | import math
import numpy
import theano
from theano import tensor as T
from utils import shared_dataset
from layer import HiddenLayer, LogisticRegressionLayer
import pickle as pkl
from mlp import MLP, Costs, NeuralActivations
DEBUGGING = False
class PostMLP(MLP):
"""Post training:- Second phase MLP.
A mul... | [
"import math\n\nimport numpy\nimport theano\n\nfrom theano import tensor as T\n\nfrom utils import shared_dataset\n\nfrom layer import HiddenLayer, LogisticRegressionLayer\nimport pickle as pkl\n\nfrom mlp import MLP, Costs, NeuralActivations\n\nDEBUGGING = False\n\nclass PostMLP(MLP):\n \"\"\"Post training:- Se... | true |
8,583 | 03a1f9f533f7550db32fa25578ef2f7f4c741510 | # !/usr/bin/env python
# -*- coding:utf-8 -*-
# Author: sx
import string
def reverse(text):
"""将字符串翻转"""
return text[::-1]
def is_palindrome(text):
print(e for e in text if e.isalnum())
# 去掉标点空格
m = ''.join(e for e in text if e.isalnum())
print(m)
"""是否是回文数"""
return m == revers... | [
"# !/usr/bin/env python\n# -*- coding:utf-8 -*- \n# Author: sx\nimport string\n\n\ndef reverse(text):\n \"\"\"将字符串翻转\"\"\"\n return text[::-1]\n\n\ndef is_palindrome(text):\n \n print(e for e in text if e.isalnum())\n # 去掉标点空格\n m = ''.join(e for e in text if e.isalnum())\n print(m)\n \"\"\"是... | false |
8,584 | cc19ff829cc4a11c3dc873353fa2194ec9a87718 | import os
from PIL import Image
import cv2
import shutil
root = './train'
save_path = './thumbnail'
for r, d, files in os.walk(root):
if files != []:
for i in files:
fp = os.path.join(r, i)
label = i.split('_')[0]
dst = os.path.join(save_path, label)
if not o... | [
"import os\nfrom PIL import Image\nimport cv2\nimport shutil\n\nroot = './train'\nsave_path = './thumbnail'\nfor r, d, files in os.walk(root):\n if files != []:\n for i in files:\n fp = os.path.join(r, i)\n label = i.split('_')[0]\n dst = os.path.join(save_path, label)\n ... | false |
8,585 | 707e3e60d6d9a3db5b9bc733e912b34e2cec5974 | from .models import RecommendedArtifact
from .serializers import RecommendedArtifactSerialize
from rest_framework.decorators import api_view
from rest_framework.response import Response
from datetime import datetime
import requests, bs4
# constant value
service_key = "{jo's museum key}"
@api_view(['GET'])
def artifa... | [
"from .models import RecommendedArtifact\nfrom .serializers import RecommendedArtifactSerialize\nfrom rest_framework.decorators import api_view \nfrom rest_framework.response import Response\nfrom datetime import datetime\nimport requests, bs4\n\n# constant value\nservice_key = \"{jo's museum key}\"\n\n@api_view(['... | false |
8,586 | 5a4a014d07cf312f148e089ea43484f663ce32bc | import requests
from bs4 import BeautifulSoup
import re
# if no using some headers, wikiloc answers HTML error 503, probably they protect their servers against scrapping
headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:81.0) Gecko/20100101 Firefox/81.0',}
def main():
print("################... | [
"import requests\nfrom bs4 import BeautifulSoup\nimport re\n\n# if no using some headers, wikiloc answers HTML error 503, probably they protect their servers against scrapping\nheaders = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:81.0) Gecko/20100101 Firefox/81.0',}\n\n\ndef main():\n print(\"#... | false |
8,587 | e3a59a1ae65dd86ff2f5dcc15d4df9e8dc451990 | def is_prime(x):
divisor = 2
while divisor <= x**(1/2.0):
if x % divisor == 0:
return False
divisor += 1
return True
for j in range(int(raw_input())):
a, b = map(int, raw_input().split())
count = 0
if a == 2:
a += 1
count += 1
elif... | [
"def is_prime(x):\r\n divisor = 2\r\n while divisor <= x**(1/2.0):\r\n if x % divisor == 0:\r\n return False\r\n divisor += 1\r\n return True\r\n\r\nfor j in range(int(raw_input())):\r\n a, b = map(int, raw_input().split())\r\n count = 0\r\n\r\n if a == 2:\r\n a += ... | true |
8,588 | 45d5c75a993ff50e1a88510bdb16e963403c5356 | # Tip Calculator
# Dan Soloha
# 9/12/2019
total = int(input("What was the total your bill came to? "))
print(f"With a total of {total}, you should tip ${int(total + (total * 0.15))}. If the waiter did a really good job, you should tip ${int(total + (total * 0.20))}. ") # Multiplying by 1.x was returning the numb... | [
"# Tip Calculator\r\n# Dan Soloha\r\n# 9/12/2019\r\n\r\ntotal = int(input(\"What was the total your bill came to? \"))\r\nprint(f\"With a total of {total}, you should tip ${int(total + (total * 0.15))}. If the waiter did a really good job, you should tip ${int(total + (total * 0.20))}. \") # Multiplying by 1.x was... | false |
8,589 | 2ec5e43860a1d248a2f5cd1abc26676342275425 | from django.shortcuts import render, redirect
from django.utils.crypto import get_random_string
def index(request):
if not "word" in request.session:
request.session["word"] = 'Empty'
if not "count" in request.session:
request.session["count"] = 0
if request.method == "GET":
return... | [
"from django.shortcuts import render, redirect\nfrom django.utils.crypto import get_random_string\n\n\ndef index(request):\n if not \"word\" in request.session:\n request.session[\"word\"] = 'Empty'\n if not \"count\" in request.session:\n request.session[\"count\"] = 0\n if request.method ==... | false |
8,590 | 80531ac3cc247d48ee36bff581925b8f29f9e235 | import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.nn.init as init
import numpy as np
import time
import os
import csv
import matplotlib.pyplot as plt
from GELu import GELu
from My_Dataset import MyDataset
from pytorchtools import EarlyStopping
from LSTM import LSTM
'''
Wr... | [
"import torch\r\nimport torch.nn as nn\r\nimport torch.nn.functional as F\r\nimport torch.nn.init as init\r\nimport numpy as np\r\nimport time\r\nimport os\r\nimport csv\r\nimport matplotlib.pyplot as plt\r\n\r\nfrom GELu import GELu\r\nfrom My_Dataset import MyDataset\r\nfrom pytorchtools import EarlyStopping\r\nf... | false |
8,591 | dffcaf47ec8e0daa940e7047f11681ef3eabc772 | import sys, os
class Extractor:
def __init__(self, prefix=''):
self.variables = {}
self.prefix = os.path.basename(prefix)
'''
Returns the variable name if a variable with
the value <value> is found.
'''
def find_variable_name(self, value):
for var, val in self.v... | [
"import sys, os\n\nclass Extractor:\n def __init__(self, prefix=''):\n self.variables = {}\n self.prefix = os.path.basename(prefix)\n \n '''\n Returns the variable name if a variable with\n the value <value> is found.\n '''\n def find_variable_name(self, value):\n for v... | false |
8,592 | b3f4815495c781fe6cc15f77b4ee601680117419 | from ctypes import *
class GF_IPMPX_Data(Structure):
_fields_=[
("tag", c_char),
("Version", c_char),
("dataID", c_char)
] | [
"from ctypes import *\n\n\nclass GF_IPMPX_Data(Structure):\n _fields_=[\n (\"tag\", c_char),\n (\"Version\", c_char),\n (\"dataID\", c_char)\n ]",
"from ctypes import *\n\n\nclass GF_IPMPX_Data(Structure):\n _fields_ = [('tag', c_char), ('Version', c_char), ('dataID', c_char)]\n",
... | false |
8,593 | 8787126e654808a5fec52283780d9b4f668fa50f | import Numberjack as Nj
class Teachers(object):
"""Will be expanded to allow constraints for individual teachers"""
def __init__(self):
self.store = list()
def add(self, teachers):
if isinstance(teachers, (list, tuple)):
self.store.extend(teachers)
elif isinstance(teac... | [
"import Numberjack as Nj\n\n\nclass Teachers(object):\n \"\"\"Will be expanded to allow constraints for individual teachers\"\"\"\n def __init__(self):\n self.store = list()\n\n def add(self, teachers):\n if isinstance(teachers, (list, tuple)):\n self.store.extend(teachers)\n ... | false |
8,594 | 2317a2fff493588ad6cc3a4ac2b600fbf1c5583c | import numpy as np
import dl_style_transfer.workspace.data_helpers
import os
here = os.path.dirname(os.path.abspath(__file__))
sents = list(open(os.path.join(here, 'yelp_sentences.txt'))) + list(open(os.path.join(here, 'shake_sentences.txt')))
thresh = 5
col = dict()
word_to_ind = dict()
ind_to_word = dict()
def... | [
"import numpy as np\nimport dl_style_transfer.workspace.data_helpers\nimport os\n\n\nhere = os.path.dirname(os.path.abspath(__file__))\n\nsents = list(open(os.path.join(here, 'yelp_sentences.txt'))) + list(open(os.path.join(here, 'shake_sentences.txt')))\n\nthresh = 5\n\ncol = dict()\nword_to_ind = dict()\nind_to_w... | false |
8,595 | 5f471fb75b1c4f6fc7aa4cb4f99f9c1a1a9f0ea1 | import pytest
from chess.board import Board, ImpossibleMove
from chess.pieces import King, Rook, Pawn, Knight
def test_board_has_32_pieces():
board = Board()
assert board.pieces_quantity() == 32
def test_board_can_be_instatiated_with_any_set_of_pieces():
board = Board(initial_pieces={'a2': Pawn('white'... | [
"import pytest\n\nfrom chess.board import Board, ImpossibleMove\nfrom chess.pieces import King, Rook, Pawn, Knight\n\n\ndef test_board_has_32_pieces():\n board = Board()\n assert board.pieces_quantity() == 32\n\n\ndef test_board_can_be_instatiated_with_any_set_of_pieces():\n board = Board(initial_pieces={'... | false |
8,596 | 7c65d0bdd4fd808b3d87706357a651601368e43b | import os
from unittest import TestCase
from pyfibre.gui.file_display_pane import FileDisplayPane
from pyfibre.tests.fixtures import (
directory,
test_image_path)
from pyfibre.tests.probe_classes.parsers import ProbeParser
from pyfibre.tests.probe_classes.readers import ProbeMultiImageReader
source_dir = os.p... | [
"import os\nfrom unittest import TestCase\n\nfrom pyfibre.gui.file_display_pane import FileDisplayPane\nfrom pyfibre.tests.fixtures import (\n directory,\n test_image_path)\nfrom pyfibre.tests.probe_classes.parsers import ProbeParser\nfrom pyfibre.tests.probe_classes.readers import ProbeMultiImageReader\n\nso... | false |
8,597 | 88a379747f955b0410ab2bb33c1165034c701673 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
__author__ = 'wenchao.hao'
"""
data.guid package.
"""
from .guid import Guid
| [
"#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n__author__ = 'wenchao.hao'\n\n\"\"\"\ndata.guid package.\n\"\"\"\n\nfrom .guid import Guid\n",
"__author__ = 'wenchao.hao'\n<docstring token>\nfrom .guid import Guid\n",
"__author__ = 'wenchao.hao'\n<docstring token>\n<import token>\n",
"<assignment token>\n<do... | false |
8,598 | 360881cecbad88ea5d150548fba6a39d8dc30681 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
db = {
'host': "localhost",
'user': "root",
'passwd': "m74e71",
'database': "dw_toner"
}
data_inicial = '1990-01-01'
ano_final = 2018
feriados = "feriados.csv"
meses_de_ferias = (1, 2, 7, 12) #Janeiro, Fevereiro, Julho, Dezembro
dias_final_semana = (1, ... | [
"#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\ndb = {\n 'host': \"localhost\",\n 'user': \"root\",\n 'passwd': \"m74e71\",\n 'database': \"dw_toner\"\n}\n\ndata_inicial = '1990-01-01'\nano_final = 2018\n\nferiados = \"feriados.csv\"\n\nmeses_de_ferias = (1, 2, 7, 12) #Janeiro, Fevereiro, Julho, Dezem... | false |
8,599 | 9e21a39358d97633b49ad83805990c29c19a80ed | import argparse
import glob
import importlib
import inspect
import math
import os
import re
import subprocess
import sys
import moviepy.audio.fx.all as afx
import moviepy.video.fx.all as vfx
import numpy as np
from _appmanager import get_executable
from _shutil import format_time, get_time_str, getch, print2
from movi... | [
"import argparse\nimport glob\nimport importlib\nimport inspect\nimport math\nimport os\nimport re\nimport subprocess\nimport sys\n\nimport moviepy.audio.fx.all as afx\nimport moviepy.video.fx.all as vfx\nimport numpy as np\nfrom _appmanager import get_executable\nfrom _shutil import format_time, get_time_str, getc... | false |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.