index int64 0 100k | blob_id stringlengths 40 40 | code stringlengths 7 7.27M | steps listlengths 1 1.25k | error bool 2
classes |
|---|---|---|---|---|
7,600 | 7a6a8b5e344a7b60e369f100885d1e26afa28f46 | from django.apps import AppConfig
class AppValidationsConfig(AppConfig):
name = 'app_validations'
| [
"from django.apps import AppConfig\n\n\nclass AppValidationsConfig(AppConfig):\n name = 'app_validations'\n",
"<import token>\n\n\nclass AppValidationsConfig(AppConfig):\n name = 'app_validations'\n",
"<import token>\n\n\nclass AppValidationsConfig(AppConfig):\n <assignment token>\n",
"<import token>... | false |
7,601 | 3a0bf031b76d2df03cdb5b37861cb8942307709c | import spacy
nlp = spacy.load("en_core_web_lg")
def find_entities(corpus):
doc = nlp(corpus)
entities = {}
for ent in doc.ents:
entity_type = ent.label_
entity_name = ent.text
values = entities.get(entity_type, set())
values.add(entity_name)
entities[entity_type]... | [
"import spacy\n\nnlp = spacy.load(\"en_core_web_lg\")\n\n\ndef find_entities(corpus):\n doc = nlp(corpus)\n entities = {}\n\n for ent in doc.ents:\n entity_type = ent.label_\n entity_name = ent.text\n\n values = entities.get(entity_type, set())\n values.add(entity_name)\n ... | false |
7,602 | 74ffbd55867c4b2c6ccbef7d94e0c65aef139057 | import os
import pathlib
from global_settings import *
def get_bits(x):
return np.where(x < 0, 0, 1)
def check_wrong_bits(bits, bits_estimated):
return len(np.argwhere(bits != bits_estimated))
def mkdir(file_path):
folder = os.path.dirname(file_path)
if not os.path.exists(folder):
os.make... | [
"import os\nimport pathlib\n\nfrom global_settings import *\n\n\ndef get_bits(x):\n return np.where(x < 0, 0, 1)\n\n\ndef check_wrong_bits(bits, bits_estimated):\n return len(np.argwhere(bits != bits_estimated))\n\n\ndef mkdir(file_path):\n folder = os.path.dirname(file_path)\n if not os.path.exists(fol... | false |
7,603 | 1c5884c10ac0b6a3335f8e677007fc52311245e2 | # coding=utf-8
"""Advent of Code 2018, Day 7"""
import networkx
import re
G = networkx.DiGraph()
with open("puzzle_input") as f:
for line in f.read().split("\n"):
match = re.search("Step (?P<pre>[A-Z]).*step (?P<post>[A-Z])", line)
G.add_edge(match.group("pre"), match.group("post"))
def part_one... | [
"# coding=utf-8\n\"\"\"Advent of Code 2018, Day 7\"\"\"\n\nimport networkx\nimport re\n\nG = networkx.DiGraph()\nwith open(\"puzzle_input\") as f:\n for line in f.read().split(\"\\n\"):\n match = re.search(\"Step (?P<pre>[A-Z]).*step (?P<post>[A-Z])\", line)\n G.add_edge(match.group(\"pre\"), match... | false |
7,604 | d4bc6bfe6bef730273db38f3c99352bbc3f48a5f | import os
from celery import Celery
import django
from django.conf import settings
from django.apps import apps
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'nightcrawler.settings')
#celery_app = Celery('nightcrawler.tasks.keep_it', broker=settings.CELERY_BROKER_URL)
celery_app = Celery('nightcrawler', broker=sett... | [
"import os\nfrom celery import Celery\nimport django\nfrom django.conf import settings\nfrom django.apps import apps\n\nos.environ.setdefault('DJANGO_SETTINGS_MODULE', 'nightcrawler.settings')\n\n#celery_app = Celery('nightcrawler.tasks.keep_it', broker=settings.CELERY_BROKER_URL)\ncelery_app = Celery('nightcrawler... | false |
7,605 | e24a62f2a3ff0122922f472a7b37f1773dfe9c11 | import tensorflow as tf
from util.helper import focal_loss
from util.helper import conv_elu_bn
from util.helper import deconv_elu_bn
from util.helper import residual_block_elu
from util.helper import conv_elu
from util.helper import conv
from util.helper import reg_l1_loss
from util.helper import conv_bn
from util.hel... | [
"import tensorflow as tf\n\nfrom util.helper import focal_loss\nfrom util.helper import conv_elu_bn\nfrom util.helper import deconv_elu_bn\nfrom util.helper import residual_block_elu\nfrom util.helper import conv_elu\nfrom util.helper import conv\nfrom util.helper import reg_l1_loss\nfrom util.helper import conv_bn... | false |
7,606 | 75754f4032d6e22e53cdbed0f6c640247473faec | import matplotlib.pyplot as plt
import cartopy.crs as ccrs
from cartopy.feature import ShapelyFeature
from shapely.geometry import shape
def plot(s):
proj = ccrs.PlateCarree()
ax = plt.axes(projection=proj)
ax.set_extent((s.bounds[0], s.bounds[2], s.bounds[1], s.bounds[3]), crs=ccrs.PlateCarree())
sha... | [
"import matplotlib.pyplot as plt\nimport cartopy.crs as ccrs\nfrom cartopy.feature import ShapelyFeature\nfrom shapely.geometry import shape\n\n\ndef plot(s):\n proj = ccrs.PlateCarree()\n ax = plt.axes(projection=proj)\n ax.set_extent((s.bounds[0], s.bounds[2], s.bounds[1], s.bounds[3]), crs=ccrs.PlateCar... | false |
7,607 | cd1987f09ca3e09ac251b1ebdec4168fd5dbdd0e | # 2. Отсортируйте по возрастанию методом слияния одномерный вещественный массив,
# заданный случайными числами на промежутке [0; 50).
# Выведите на экран исходный и отсортированный массивы.
from random import randint
# создаем массив [0, 50) случайных чисел
size = 13
array = [randint(0, 50) for x in range(s... | [
"# 2. Отсортируйте по возрастанию методом слияния одномерный вещественный массив,\r\n# заданный случайными числами на промежутке [0; 50).\r\n# Выведите на экран исходный и отсортированный массивы.\r\n\r\nfrom random import randint\r\n\r\n# создаем массив [0, 50) случайных чисел\r\n\r\nsize = 13\r\narray = [randint(... | false |
7,608 | 517436d61ac9993bee5ecfd932f272dbb8bec60b | class Region:
"""
A region (represented by a list of long/lat coordinates).
"""
def __init__(self, coords, r_votes, d_votes, o_votes):
self.coords = coords
def lats(self):
"Return a list of the latitudes of all the coordinates in the region"
return [y for x,y in self.coords... | [
"class Region:\n \"\"\"\n A region (represented by a list of long/lat coordinates).\n \"\"\"\n\n def __init__(self, coords, r_votes, d_votes, o_votes):\n self.coords = coords\n\n def lats(self):\n \"Return a list of the latitudes of all the coordinates in the region\"\n return [y... | false |
7,609 | b7521a604fb49591df814d469f53d35574126fdb | import pandas
def ludwig_get_model_definition(df: 'Dataframe', target: str, features: list):
input_features, output_features = [], []
for p in features:
if (pandas.api.types.is_numeric_dtype(df[p])):
input_features.append({'name': p, 'type': 'numerical',
'preprocessing'... | [
"import pandas\n\ndef ludwig_get_model_definition(df: 'Dataframe', target: str, features: list):\n input_features, output_features = [], []\n for p in features:\n if (pandas.api.types.is_numeric_dtype(df[p])):\n input_features.append({'name': p, 'type': 'numerical', \n 'pr... | false |
7,610 | d03669924233edf33fcb6645f5ed7ab118f54a95 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Check mean system norm errors in regression tests
This script determines the pass/fail status of a regression test by comparing
the "Mean System Norm" values output at each timestep against "gold values"
from the reference file provided by the user.
Success is deter... | [
"#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n\n\"\"\"\nCheck mean system norm errors in regression tests\n\nThis script determines the pass/fail status of a regression test by comparing\nthe \"Mean System Norm\" values output at each timestep against \"gold values\"\nfrom the reference file provided by the use... | false |
7,611 | 2540e2752edaedbf2a011a25cb90f220ae770757 | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Tue May 19 17:27:57 2020
@author: li
"""
import numpy as np
from opendr.renderer import ColoredRenderer
from opendr.lighting import LambertianPointLight
from opendr.camera import ProjectPoints
import cPickle as pkl
from models.smpl import Smpl, copy_smpl,... | [
"#!/usr/bin/env python2\n# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Tue May 19 17:27:57 2020\n\n@author: li\n\"\"\"\n\nimport numpy as np\nfrom opendr.renderer import ColoredRenderer \nfrom opendr.lighting import LambertianPointLight\nfrom opendr.camera import ProjectPoints\nimport cPickle as pkl\nfrom models.smpl... | false |
7,612 | cb77696a90716acdee83a1cf6162a8f42c524e11 | #!/usr/bin/env python3
import sys
class Parse:
data = []
def __parseLine(line):
"""Parse the given line"""
# extract name
name_len = line.index(" ")
name = line[:name_len]
line = line[name_len + 3:]
# array-ize 'electron' val
elec_pos = line.index("e... | [
"#!/usr/bin/env python3\n\nimport sys\n\n\nclass Parse:\n data = []\n\n def __parseLine(line):\n \"\"\"Parse the given line\"\"\"\n\n # extract name\n name_len = line.index(\" \")\n name = line[:name_len]\n line = line[name_len + 3:]\n\n # array-ize 'electron' val\n ... | false |
7,613 | dd7e8556405f07172ce2b1e9f486c2cd2f4bad58 | # -*- coding: utf-8 -*-
'''
Задание 12.3
Создать функцию print_ip_table, которая отображает таблицу доступных и недоступных IP-адресов.
Функция ожидает как аргументы два списка:
* список доступных IP-адресов
* список недоступных IP-адресов
Результат работы функции - вывод на стандартный поток вывода таблицы вида:
... | [
"# -*- coding: utf-8 -*-\n'''\nЗадание 12.3\n\n\nСоздать функцию print_ip_table, которая отображает таблицу доступных и недоступных IP-адресов.\n\nФункция ожидает как аргументы два списка:\n* список доступных IP-адресов\n* список недоступных IP-адресов\n\nРезультат работы функции - вывод на стандартный поток вывода... | false |
7,614 | 77d545d1a4fc5f96ae19f654a32ab75707434d46 | # encoding=utf-8
from lib.calculate_time import tic,toc
import scipy as sp
import numpy as np
from lib.make_A import make_A
from lib.make_distance import make_distance
from lib.lambda_sum_smallest import lambda_sum_smallest
from lib.fiedler import fiedler
from lib.make_al import make_al
import math
from lib.newmatrix i... | [
"# encoding=utf-8\nfrom lib.calculate_time import tic,toc\nimport scipy as sp\nimport numpy as np\nfrom lib.make_A import make_A\nfrom lib.make_distance import make_distance\nfrom lib.lambda_sum_smallest import lambda_sum_smallest\nfrom lib.fiedler import fiedler\nfrom lib.make_al import make_al\nimport math\nfrom ... | true |
7,615 | 6261d06ac7bdcb3ae25cd06338c4c41c3c5f5023 | # import time module, Observer, FileSystemEventHandler
import os
import time
from watchdog.observers import Observer
from watchdog.events import FileSystemEventHandler
import pyAesCrypt
import logging
logging.basicConfig(filename="Decryptor.log",
level=logging.INFO, format="%(asctime)s:%(filename)s:... | [
"# import time module, Observer, FileSystemEventHandler\nimport os\nimport time\nfrom watchdog.observers import Observer\nfrom watchdog.events import FileSystemEventHandler\nimport pyAesCrypt\nimport logging\nlogging.basicConfig(filename=\"Decryptor.log\",\n level=logging.INFO, format=\"%(asctime... | false |
7,616 | b57b6df1b7e551f64033a0c47e5a22eab9fd5fd4 | import sys
sys.path.append('.')
import torch
from torch.nn import functional as F
import os
import yaml
from src.new_grad_cam import gc
def test(conf):
device = conf['device']
dataset = conf['test_dataset']
classes = conf['data']['classes']
weights_path = conf['weights_path']
results_dir = conf['r... | [
"import sys\nsys.path.append('.')\nimport torch\nfrom torch.nn import functional as F\nimport os\nimport yaml\nfrom src.new_grad_cam import gc\n\n\ndef test(conf):\n device = conf['device']\n dataset = conf['test_dataset']\n classes = conf['data']['classes']\n weights_path = conf['weights_path']\n re... | false |
7,617 | 9da995184641525cd763ecdb0bca4f28159ae740 | import datetime
import os
import uuid
from abc import ABC, abstractmethod
from django.conf import settings
from django.core.exceptions import ObjectDoesNotExist
from django.contrib.contenttypes.fields import (GenericForeignKey,
GenericRelation)
from django.contrib.conten... | [
"import datetime\nimport os\nimport uuid\nfrom abc import ABC, abstractmethod\n\nfrom django.conf import settings\nfrom django.core.exceptions import ObjectDoesNotExist\nfrom django.contrib.contenttypes.fields import (GenericForeignKey,\n GenericRelation)\nfrom django.... | false |
7,618 | e79505e802a06f091bbb12708c45e04c4e80da60 | import FWCore.ParameterSet.Config as cms
from RecoTracker.MeasurementDet.UpdaterService_cfi import *
from RecoTracker.MeasurementDet.MeasurementTrackerESProducer_cfi import *
| [
"import FWCore.ParameterSet.Config as cms\n\nfrom RecoTracker.MeasurementDet.UpdaterService_cfi import *\nfrom RecoTracker.MeasurementDet.MeasurementTrackerESProducer_cfi import *\n\n",
"import FWCore.ParameterSet.Config as cms\nfrom RecoTracker.MeasurementDet.UpdaterService_cfi import *\nfrom RecoTracker.Measure... | false |
7,619 | b5f88a6d119f2c3ce8fb77cf8c45b6c9252f5128 | from pymongo import MongoClient
class MongoDB():
def __init__(self, host, port, db, table):
self.host = host
self.port = port
self.client = MongoClient(host=self.host, port=self.port)
self.db = self.client[db]
self.table = self.db[table]
# 获取一条数据
def get_one(self, q... | [
"from pymongo import MongoClient\n\nclass MongoDB():\n def __init__(self, host, port, db, table):\n self.host = host\n self.port = port\n self.client = MongoClient(host=self.host, port=self.port)\n self.db = self.client[db]\n self.table = self.db[table]\n\n # 获取一条数据\n def... | false |
7,620 | 9289eb32db145187c5b4140e32acff520be8366e | from models import Ban
from django.shortcuts import render_to_response
class IPBanMiddleware(object):
"""
Simple middleware for taking care of bans from specific IP's
Redirects the banned user to a ban-page with an explanation
"""
def process_request(self, request):
ip = request.META['REMOTE_ADDR'] # use... | [
"from models import Ban\nfrom django.shortcuts import render_to_response\n\nclass IPBanMiddleware(object):\n \"\"\"\n Simple middleware for taking care of bans from specific IP's\n Redirects the banned user to a ban-page with an explanation\n \"\"\"\n def process_request(self, request):\n ip = request.META[... | false |
7,621 | 70964ac617847dd4bf4a60a142afc94d0f284a24 | #!/usr/bin/env python
# coding: utf-8
# # Lesson 2 Demo 3: Creating Fact and Dimension Tables with Star Schema
#
# <img src="images/postgresSQLlogo.png" width="250" height="250">
# ### Walk through the basics of modeling data using Fact and Dimension tables. In this demo, we will:<br>
# <ol><li>Create both Fact and... | [
"#!/usr/bin/env python\n# coding: utf-8\n\n# # Lesson 2 Demo 3: Creating Fact and Dimension Tables with Star Schema\n# \n# <img src=\"images/postgresSQLlogo.png\" width=\"250\" height=\"250\">\n\n# ### Walk through the basics of modeling data using Fact and Dimension tables. In this demo, we will:<br>\n# <ol><li>C... | false |
7,622 | 4cefaa964251e77a05066af1f61f9fd2a4350d38 | #!/usr/bin/env python
import sys,re
print('\n'.join(re.findall(r'http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*\(\),]|(?:%[0-9a-fA-F][0-9a-fA-F]))+',sys.stdin.read())))
| [
"#!/usr/bin/env python\nimport sys,re\nprint('\\n'.join(re.findall(r'http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*\\(\\),]|(?:%[0-9a-fA-F][0-9a-fA-F]))+',sys.stdin.read())))\n",
"import sys, re\nprint('\\n'.join(re.findall(\n 'http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*\\\\(\\\\),]|(?:%[0-9a-fA-F][0-9a-fA-F]))+'\n... | false |
7,623 | fa566eb77b17830acad8c7bfc2b958760d982925 | from django.db import models
# from rest_framework import permissions
from drawAppBackend import settings
# from django.contrib.auth.models import AbstractUser
# Create your models here.
class DrawApp(models.Model):
title = models.CharField(max_length=120)
description = models.TextField()
completed = mo... | [
"from django.db import models\n# from rest_framework import permissions\nfrom drawAppBackend import settings\n\n# from django.contrib.auth.models import AbstractUser\n\n# Create your models here.\n\n\nclass DrawApp(models.Model):\n title = models.CharField(max_length=120)\n description = models.TextField()\n ... | false |
7,624 | f0e4cd13571728d61566c4093586c91323629e0b | # coding: utf-8
import numpy as np
def sparse(n, k):
u"""
return k sparse vector,
the value of non-zero entries are
normal distributed N(0,1).
[args]
n: size of vector
k: number of nonzero entries
[return]
k-sparse vector
"""
z = np.zeros(n)
for i in np.r... | [
"# coding: utf-8\nimport numpy as np\n\n\n\ndef sparse(n, k):\n u\"\"\"\n return k sparse vector, \n the value of non-zero entries are \n normal distributed N(0,1).\n [args]\n n: size of vector\n k: number of nonzero entries\n [return]\n k-sparse vector\n \"\"\"\n z = np... | true |
7,625 | 7d873ed216355d1688ec79ff337304d8ebfd2754 | class Solution:
def subsets(self, nums: List[int]) -> List[List[int]]:
'''
ans = set()
n = len(nums)
for x, val in enumerate(nums):
for y in range(x + 1, n + 1):
ans.add(frozenset(nums[x:y]))
for u in range(0, x + 1):
fo... | [
"class Solution:\n def subsets(self, nums: List[int]) -> List[List[int]]:\n '''\n ans = set()\n n = len(nums)\n for x, val in enumerate(nums):\n for y in range(x + 1, n + 1):\n ans.add(frozenset(nums[x:y]))\n for u in range(0, x + 1):\n ... | false |
7,626 | 9c60d82d42716abb036dc7297a2dca66f0508984 | import os
import numpy as np
import torch
from torch import nn
from torch.nn import functional as F
import torch.utils.data as td
import torchvision as tv
import pandas as pd
from PIL import Image
from matplotlib import pyplot as plt
from utils import imshow, NNRegressor
class DnCNN(NNRegressor):
def __init__(se... | [
"import os\nimport numpy as np\nimport torch\nfrom torch import nn\nfrom torch.nn import functional as F\nimport torch.utils.data as td\nimport torchvision as tv\nimport pandas as pd\nfrom PIL import Image\nfrom matplotlib import pyplot as plt\nfrom utils import imshow, NNRegressor\n\n\nclass DnCNN(NNRegressor):\n\... | false |
7,627 | 991b124d365443744c946b258504c97e9076dcea | from django.urls import path, include
from django.conf.urls import url, re_path
#from rest_framework.urlpatterns import format_suffix_patterns
from .views import (HomePageView,
WordViewSet, WordNormalViewSet,
TextViewSet, TextNormalViewSet, TextTagViewSet,
TagSetViewSet, TagViewSet... | [
"from django.urls import path, include\nfrom django.conf.urls import url, re_path\n#from rest_framework.urlpatterns import format_suffix_patterns\nfrom .views import (HomePageView, \n WordViewSet, WordNormalViewSet,\n TextViewSet, TextNormalViewSet, TextTagViewSet, \n TagSetViewSet,... | false |
7,628 | 98a1fab8cee91f37ceee2cfd868d3a5756a055b0 | import numpy as np
from sklearn.naive_bayes import BernoulliNB
X = np.array([[1, 2, 3, 3], [1, 3, 4, 4], [2, 4, 5, 5]])
y = np.array([1, 2, 3])
"""
alpha: 平滑系数
binarize: 将特征二值化的阈值
fit_prior： 使用数据拟合先验概率
"""
clf = BernoulliNB(alpha=2.0, binarize=3.0, fit_prior=True)
clf.fit(X, y)
print("class_prior:", clf.class_prior)
... | [
"import numpy as np\n\nfrom sklearn.naive_bayes import BernoulliNB\n\nX = np.array([[1, 2, 3, 3], [1, 3, 4, 4], [2, 4, 5, 5]])\ny = np.array([1, 2, 3])\n\"\"\"\nalpha: 平滑系数\nbinarize: 将特征二值化的阈值\nfit_prior： 使用数据拟合先验概率\n\"\"\"\nclf = BernoulliNB(alpha=2.0, binarize=3.0, fit_prior=True)\nclf.fit(X, y)\nprint(\"class_p... | false |
7,629 | fd4d785d933c3a200f4aba094ecfe1e1c76737a5 | from django.apps import AppConfig
class Sharem8Config(AppConfig):
name = 'ShareM8'
| [
"from django.apps import AppConfig\n\n\nclass Sharem8Config(AppConfig):\n name = 'ShareM8'\n",
"<import token>\n\n\nclass Sharem8Config(AppConfig):\n name = 'ShareM8'\n",
"<import token>\n\n\nclass Sharem8Config(AppConfig):\n <assignment token>\n",
"<import token>\n<class token>\n"
] | false |
7,630 | 235623c3f557dbc28fbff855a618e4d26932ca65 | from . import cli
cli.run()
| [
"from . import cli\n\ncli.run()\n",
"from . import cli\ncli.run()\n",
"<import token>\ncli.run()\n",
"<import token>\n<code token>\n"
] | false |
7,631 | 06627821c09d02543974a3c90664e84e11c980ed | """PriceTrail URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.11/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Class... | [
"\"\"\"PriceTrail URL Configuration\n\nThe `urlpatterns` list routes URLs to views. For more information please see:\n https://docs.djangoproject.com/en/1.11/topics/http/urls/\nExamples:\nFunction views\n 1. Add an import: from my_app import views\n 2. Add a URL to urlpatterns: url(r'^$', views.home, nam... | false |
7,632 | f1d813ccaf49c8941bf594e22d8683c0ab422a22 | from flask import Flask
from flask_bcrypt import Bcrypt
from flask_jwt_extended import JWTManager
from flask_migrate import Migrate
from flask_restful import Api
from flask_apispec.extension import FlaskApiSpec
from server.admin import add_admin
from server.config import Config
from server.db import db
from server.cli... | [
"from flask import Flask\nfrom flask_bcrypt import Bcrypt\nfrom flask_jwt_extended import JWTManager\nfrom flask_migrate import Migrate\nfrom flask_restful import Api\nfrom flask_apispec.extension import FlaskApiSpec\n\nfrom server.admin import add_admin\nfrom server.config import Config\nfrom server.db import db\n... | false |
7,633 | 0677e12bc9733c76bff7ed3fe83e3800e64e9a10 | import re
import requests
import numpy as np
import json
import os
from collections import OrderedDict
import pandas as pd
import json
import datetime
import time
#将数组写入json文件方便pandas的读取
def write_list_to_json(list, json_file_name, json_file_save_path):
os.chdir(json_file_save_path)
with open(json_file_name, 'w... | [
"import re\nimport requests\nimport numpy as np\nimport json\nimport os\nfrom collections import OrderedDict\nimport pandas as pd\nimport json\nimport datetime\nimport time\n#将数组写入json文件方便pandas的读取\ndef write_list_to_json(list, json_file_name, json_file_save_path):\n os.chdir(json_file_save_path)\n with open(... | false |
7,634 | 5807d1c2318ffa19d237d77fbe3f4c1d51da8601 | import numpy as np
import matplotlib.pyplot as plt
from sklearn import mixture, metrics
import utils
import spsa_clustering
N = 5000
mix_prob = np.array([0.4, 0.4, 0.2])
clust_means = np.array([[0, 0], [2, 2], [-3, 6]])
clust_gammas = np.array([[[1, -0.7], [-0.7, 1]], np.eye(2), [[1, 0.8], [0.8, 1]]])
data_set = []
t... | [
"import numpy as np\nimport matplotlib.pyplot as plt\nfrom sklearn import mixture, metrics\nimport utils\nimport spsa_clustering\n\n\nN = 5000\nmix_prob = np.array([0.4, 0.4, 0.2])\nclust_means = np.array([[0, 0], [2, 2], [-3, 6]])\nclust_gammas = np.array([[[1, -0.7], [-0.7, 1]], np.eye(2), [[1, 0.8], [0.8, 1]]])\... | false |
7,635 | 2f7be68f08716d5d04d064d81eecb53eb9b80174 | # -*- coding: utf-8 -*-
# Generated by Django 1.10.6 on 2017-04-03 14:45
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('productores', '0002_auto_20170327_0841'),
]
operations = [
migrations.AddFi... | [
"# -*- coding: utf-8 -*-\n# Generated by Django 1.10.6 on 2017-04-03 14:45\nfrom __future__ import unicode_literals\n\nfrom django.db import migrations, models\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('productores', '0002_auto_20170327_0841'),\n ]\n\n operations = [\n ... | false |
7,636 | 44d1412d48886eb9126a895d61004e6ccbd4850b | #!/usr/bin/env python
import sys
import random
def apply(mine, target, diff):
if mine == [1, 1, 1, 1] or target == [1, 1, 1, 1]:
return -1
if diff < 0:
for i in range(0, 4):
if i - diff < 4:
mine[i] = mine[i - diff]
else:
mine[i] = 0
elif diff > 0:
for i in range(3, -1, -1):
if i - diff > -1... | [
"#!/usr/bin/env python\nimport sys\nimport random\n\ndef apply(mine, target, diff):\n\tif mine == [1, 1, 1, 1] or target == [1, 1, 1, 1]:\n\t\treturn -1\n\n\tif diff < 0:\n\t\tfor i in range(0, 4):\n\t\t\tif i - diff < 4:\n\t\t\t\tmine[i] = mine[i - diff]\n\t\t\telse:\n\t\t\t\tmine[i] = 0\n\telif diff > 0:\n\t\tfor... | true |
7,637 | 069d85370d8358aa884b5195a1b52c0014efd161 | from collections import Counter
class Solution:
def minDominoRotations(self, A: List[int], B: List[int]) -> int:
if not A or not B:
return 0
if len(A) != len(B):
return -1
cnt_a, cnt_b = Counter(A), Counter(B)
check_list = []
for num, freq in cnt_a.ite... | [
"from collections import Counter\nclass Solution:\n def minDominoRotations(self, A: List[int], B: List[int]) -> int:\n if not A or not B:\n return 0\n if len(A) != len(B):\n return -1\n cnt_a, cnt_b = Counter(A), Counter(B)\n check_list = []\n for num, fre... | false |
7,638 | 45658cdfcd1529bbf803294cd7cec32d6d2c2198 | import pygame
class DrawingBrush():
def __init__(self, size, color, radius):
self.drawSurface = pygame.Surface(size, pygame.SRCALPHA, 32).convert_alpha()
self.drawColor = color
self.size = radius
self.winSize = size
self.winSurface = pygame.display.get_surface()
def Dra... | [
"import pygame\n\nclass DrawingBrush():\n def __init__(self, size, color, radius):\n self.drawSurface = pygame.Surface(size, pygame.SRCALPHA, 32).convert_alpha()\n self.drawColor = color\n self.size = radius\n self.winSize = size\n self.winSurface = pygame.display.get_surface()... | false |
7,639 | bf160bd2fc924a11d340bd466b4a879d1cdcd86e | # Generated by Django 3.1.7 on 2021-03-20 14:31
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('restapp', '0021_auto_20210320_1421'),
]
operations = [
migrations.AddField(
model_name='order',
name='phone',
... | [
"# Generated by Django 3.1.7 on 2021-03-20 14:31\n\nfrom django.db import migrations, models\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('restapp', '0021_auto_20210320_1421'),\n ]\n\n operations = [\n migrations.AddField(\n model_name='order',\n n... | false |
7,640 | 5f022b7f20b8aef1e3538a6b1e69dc302752cdc7 | from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
import re
import sys
import time
import os
# directory 현재 경로에 download폴더 생성
dirPath = "download"
try:
if not (os.path.isdi... | [
"from selenium import webdriver\nfrom selenium.webdriver.common.by import By\nfrom selenium.webdriver.support.ui import WebDriverWait\nfrom selenium.webdriver.support import expected_conditions as EC\nimport re\nimport sys\nimport time\nimport os\n\n# directory 현재 경로에 download폴더 생성\ndirPath = \"download\"\ntry:\n\t... | false |
7,641 | c12d45644098aef5c042a62095eeae5829d70f45 | #! /usr/bin/python
# encode:utf-8
import subprocess
import sys
import pdb
argvs = sys.argv
if len(argvs) != 2:
print "Please input 1 argument"
quit()
searchWord = argvs[1]
cmd1 = "ls -a /etc/"
p1 = subprocess.Popen(cmd1.strip().split(" "), stdout=subprocess.PIPE)
stdout_data, stderr_data = p1.communicate()
p1.st... | [
"#! /usr/bin/python\n# encode:utf-8\nimport subprocess\nimport sys\nimport pdb\n\nargvs = sys.argv\nif len(argvs) != 2:\n print \"Please input 1 argument\"\n quit()\n\nsearchWord = argvs[1]\n\ncmd1 = \"ls -a /etc/\"\np1 = subprocess.Popen(cmd1.strip().split(\" \"), stdout=subprocess.PIPE)\nstdout_data, stderr_dat... | true |
7,642 | ce9e1ac0f1596ba4db904289f91f5ab95c2de4b8 | from django.shortcuts import render,redirect
from django.http import HttpResponseRedirect
from . import forms,models
from django.contrib.auth.models import Group
from django.contrib import auth
from django.contrib.auth.decorators import login_required,user_passes_test
from datetime import datetime,timedelta,date
from d... | [
"from django.shortcuts import render,redirect\nfrom django.http import HttpResponseRedirect\nfrom . import forms,models\nfrom django.contrib.auth.models import Group\nfrom django.contrib import auth\nfrom django.contrib.auth.decorators import login_required,user_passes_test\nfrom datetime import datetime,timedelta,... | false |
7,643 | c6d9b971ab6919846807b740313d450d086ecc23 | import VL53L1X
from sensor_msgs.msg import Range
class _VL53L1():
def __init__(self, address=0x29):
address = int(address, 16)
print("initialising sensor with address: {}".format(hex(address)))
try:
self.tof = VL53L1X.VL53L1X(i2c_bus=1, i2c_address=address)
... | [
"import VL53L1X\n\nfrom sensor_msgs.msg import Range\n\nclass _VL53L1():\n\n def __init__(self, address=0x29):\n address = int(address, 16)\n print(\"initialising sensor with address: {}\".format(hex(address)))\n \n try:\n self.tof = VL53L1X.VL53L1X(i2c_bus=1, i2c_address=a... | false |
7,644 | 6aa762165dba891a3638d13862019dd342a7e05a | # Generated by Django 3.0.1 on 2020-01-11 19:59
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('users', '0004_auto_20191230_2037'),
]
operations = [
migrations.AddField(
model_name='user',
name='cir... | [
"# Generated by Django 3.0.1 on 2020-01-11 19:59\r\n\r\nfrom django.db import migrations, models\r\n\r\n\r\nclass Migration(migrations.Migration):\r\n\r\n dependencies = [\r\n ('users', '0004_auto_20191230_2037'),\r\n ]\r\n\r\n operations = [\r\n migrations.AddField(\r\n model_name... | false |
7,645 | c22651437094723b711a959e031f1c7f928f735a | data = [
"........#.............#........",
"...#....#...#....#.............",
".#..#...#............#.....#..#",
"..#......#..##............###..",
"..........#......#..#..#.......",
".#..#.......#.........#.#......",
".........#..#....##..#.##....#.",
"..#....##...#..................",... | [
"data = [\n \"........#.............#........\",\n \"...#....#...#....#.............\",\n \".#..#...#............#.....#..#\",\n \"..#......#..##............###..\",\n \"..........#......#..#..#.......\",\n \".#..#.......#.........#.#......\",\n \".........#..#....##..#.##....#.\",\n \"..#..... | false |
7,646 | 94a0b341aac3683712578b31e98a0a5a6a643b57 | # Pass Function
def hello_func():
pass
hello_func()
print(hello_func())
def hello_func():
hello_func()
print(hello_func)
# Function allows to reuse ,without repeat
def hello_func():
print('hello function!')
hello_func()
| [
"# Pass Function\n\ndef hello_func():\n pass\n\n\nhello_func()\nprint(hello_func())\n\n\ndef hello_func():\n hello_func()\n\n\nprint(hello_func)\n\n# Function allows to reuse ,without repeat\n\n\ndef hello_func():\n print('hello function!')\n hello_func()\n",
"def hello_func():\n pass\n\n\nhello_fu... | false |
7,647 | 9a02e09cbfe2c9b6ebb9d20ba6cea639871f0838 | import datetime
import discord
def getTeams(reign, uprising, hunters, fuel, mayhem, gladiators, charge, outlaws, spark,
spitfire, excelsior, eternal, fusion, dynasty, shock, dragons, defiant, valiant, titans,
justice) :
teamList = discord.Embed(
title="Overwatch League Teams",
description="2021 Sea... | [
"import datetime\nimport discord\n\ndef getTeams(reign, uprising, hunters, fuel, mayhem, gladiators, charge, outlaws, spark,\nspitfire, excelsior, eternal, fusion, dynasty, shock, dragons, defiant, valiant, titans,\njustice) :\n teamList = discord.Embed(\n title=\"Overwatch League Teams\",\n descri... | false |
7,648 | 547935a67fb079e551534126534234ceb96ed0dd | # Generated by Django 2.0.13 on 2019-05-23 14:12
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('projects', '0001_initial'),
('users', '0003_user_projects'),
]
operations = [
migrations.RemoveField(
model_name='user'... | [
"# Generated by Django 2.0.13 on 2019-05-23 14:12\n\nfrom django.db import migrations, models\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('projects', '0001_initial'),\n ('users', '0003_user_projects'),\n ]\n\n operations = [\n migrations.RemoveField(\n ... | false |
7,649 | dbd04f7b88fa43ae920a6744e3979dbf917d3fc6 | import requests
import toml
from pathlib import Path
imgs:list
config:dict
def parseTex(lines:list):
new_lines = []
for i, line in enumerate(lines):
if line == "\n":
continue
inline = False
if (line[0] == "$" and line[1] != "$"):
inline = True
line = li... | [
"import requests\nimport toml\nfrom pathlib import Path\n\nimgs:list\nconfig:dict\n\ndef parseTex(lines:list):\n new_lines = []\n for i, line in enumerate(lines):\n if line == \"\\n\":\n continue\n\n inline = False\n if (line[0] == \"$\" and line[1] != \"$\"):\n inli... | false |
7,650 | a1ea0f269a20ff608d10ee01804eeee7e7232b1d | # -*- coding: utf-8 -*-
## https://atcoder.jp/contests/abs/tasks/abc083_b
import sys
def gets(input):
return input.readline().strip()
def run(input):
n, a, b = gets(input).split()
N, A, B = int(n), int(a), int(b)
#
total = 0
for i in range(1, N+1):
x = sum( int(ch) for ch in str(i) )... | [
"# -*- coding: utf-8 -*-\n\n## https://atcoder.jp/contests/abs/tasks/abc083_b\n\nimport sys\n\ndef gets(input):\n return input.readline().strip()\n\ndef run(input):\n n, a, b = gets(input).split()\n N, A, B = int(n), int(a), int(b)\n #\n total = 0\n for i in range(1, N+1):\n x = sum( int(ch... | false |
7,651 | e4a05cbfd0959402eacf21959c68e449d15b1e74 | #!/usr/bin/env python3
#
# Exploit for "assignment" of GoogleCTF 2017
#
# CTF-quality exploit...
#
# Slightly simplified and shortened explanation:
#
# The bug is a UAF of one or both values during add_assign() if a GC is
# triggered during allocate_value(). The exploit first abuses this to leak a
# pointer into the he... | [
"#!/usr/bin/env python3\n#\n# Exploit for \"assignment\" of GoogleCTF 2017\n#\n# CTF-quality exploit...\n#\n# Slightly simplified and shortened explanation:\n#\n# The bug is a UAF of one or both values during add_assign() if a GC is\n# triggered during allocate_value(). The exploit first abuses this to leak a\n# po... | false |
7,652 | a6f242a0443ffbad835f86098b70ede41c03515b | import aiohttp
import asyncio
import base64
import discord
import json
from discord.ext import commands
class BasicMC(commands.Cog):
def __init__(self, bot):
self.bot = bot
self.session = aiohttp.ClientSession()
@commands.command(name="stealskin", aliases=["skinsteal", "skin"])
@command... | [
"import aiohttp\nimport asyncio\nimport base64\nimport discord\nimport json\nfrom discord.ext import commands\n\n\nclass BasicMC(commands.Cog):\n\n def __init__(self, bot):\n self.bot = bot\n\n self.session = aiohttp.ClientSession()\n\n @commands.command(name=\"stealskin\", aliases=[\"skinsteal\... | false |
7,653 | 825c9510b055c0fa570f577b1c9616e8bde9c98b | from django.test import TestCase
from .models import Post, Category, Tag
# Create your tests here.
class TestPost(TestCase):
def test_str(self):
my_title = Post(title='This is a basic title for a basic test case')
self.assertEquals(str(my_title), 'This is a basic title for a basic test case')
c... | [
"from django.test import TestCase\n\nfrom .models import Post, Category, Tag\n\n# Create your tests here.\n\nclass TestPost(TestCase):\n\n def test_str(self):\n my_title = Post(title='This is a basic title for a basic test case')\n self.assertEquals(str(my_title), 'This is a basic title for a basic... | false |
7,654 | 37c42a5e52832c81660e88f45d93e6a9f0300de0 | class Node:
def __init__(self, char = None):
self.char = char
self.children = []
self.end = False
root = Node('*')
curr = root
# recursive insert into the trie
def insert(s, curr):
if curr.children and curr.children[0].char == s[0]:
curr = curr.children[0]
elif len(curr.chi... | [
"class Node:\n def __init__(self, char = None):\n self.char = char\n self.children = []\n self.end = False\n\nroot = Node('*')\ncurr = root\n\n# recursive insert into the trie\ndef insert(s, curr):\n if curr.children and curr.children[0].char == s[0]:\n curr = curr.children[0]\n ... | false |
7,655 | c8975306473dda49be6c5f19f6663214ec7e7105 | import numpy as np
import cPickle as pkl
data_l = []
data_path = "/home/marc/data/"
with open(data_path+'covtype.data') as fp:
for line in fp:
tmp_l = [ int(elem) for elem in line.split(',') ]
data_l.append(tmp_l)
data = np.array(data_l)
np.random.shuffle(data)
quintil = data.shape[0]/5
train_x = data[:qu... | [
"import numpy as np\nimport cPickle as pkl\n\n\n\ndata_l = []\ndata_path = \"/home/marc/data/\"\nwith open(data_path+'covtype.data') as fp:\n for line in fp:\n\t\ttmp_l = [ int(elem) for elem in line.split(',') ]\n\t\tdata_l.append(tmp_l)\n\n\ndata = np.array(data_l)\nnp.random.shuffle(data)\n\nquintil = data.sh... | true |
7,656 | c6ce6ffe46be993bfe74ccb240e1ebf586c9f556 | import numpy as np
from math import sqrt
import warnings
from collections import Counter
import pandas as pd
import random
def k_NN(data, predict, k=3):
if len(data) >= k:
warnings.warn("K is set to a value less than total voting groups !")
distances = []
[[ distances.append([np.linalg.norm(np.array(features) - ... | [
"import numpy as np\nfrom math import sqrt\nimport warnings\nfrom collections import Counter\nimport pandas as pd\nimport random\n\ndef k_NN(data, predict, k=3):\n\tif len(data) >= k:\n\t\twarnings.warn(\"K is set to a value less than total voting groups !\")\n\n\tdistances = []\n\t[[ distances.append([np.linalg.no... | false |
7,657 | d287a5128ca9352b2edc459c9e42a57ef800ec9c | #!/usr/bin/python
import sys
def get_params(fname):
d = dict()
with open(fname) as f:
for line in f:
l = line.strip()
if (line[0] == '#'):
continue
param = line.split('=')
v = ' '.join(param[1:])
d[param[0]] = v.strip('\n')
return d
usage_text = "Compares boot configs of two kernels\n" \
"U... | [
"#!/usr/bin/python\n\nimport sys\n\ndef get_params(fname):\n\td = dict()\n\twith open(fname) as f:\n\t\tfor line in f:\n\t\t\tl = line.strip()\n\t\t\tif (line[0] == '#'):\n\t\t\t\tcontinue\n\t\t\tparam = line.split('=')\n\t\t\tv = ' '.join(param[1:])\n\t\t\td[param[0]] = v.strip('\\n') \n\treturn d\n\nusage_text = ... | true |
7,658 | 2b3a7d0c28d1bf7d4400b0e5558b0527a96af781 | import sys
import math
from random import randrange
from utilities import *
from EffectiveThueLemma import *
def getZ(value):
s = str(value)
p10 = 1
if s[0] != '0':
p10 = 10
for i in range(1, len(s)):
if s[i] == '.':
break
p10 *= 10
z = []
first = int(s[0] == '0')
for i in range(first, len(s)):
if s... | [
"import sys\nimport math\nfrom random import randrange\nfrom utilities import *\nfrom EffectiveThueLemma import *\n\n\ndef getZ(value):\n\ts = str(value)\n\tp10 = 1\n\tif s[0] != '0':\n\t\tp10 = 10\n\tfor i in range(1, len(s)):\n\t\tif s[i] == '.':\n\t\t\tbreak\n\t\tp10 *= 10\n\tz = []\n\tfirst = int(s[0] == '0')\n... | false |
7,659 | 1cf4fc37e030a895cb36f537ce9e92df34acfb8b | """
Counted List
Create a class for an list like object based on UserList wrapper
https://docs.python.org/3/library/collections.html#collections.UserList
That object should have a method to return a Counter
https://docs.python.org/3/library/collections.html#collections.Counter
for all objects in the list
Counter should... | [
"\"\"\"\nCounted List\nCreate a class for an list like object based on UserList wrapper\nhttps://docs.python.org/3/library/collections.html#collections.UserList\nThat object should have a method to return a Counter\nhttps://docs.python.org/3/library/collections.html#collections.Counter\nfor all objects in the list\... | false |
7,660 | 62bad8eeb3b51a5012dad761a60639d36429d8e8 | import pymysql
from app_module.models import User, Vehicle, Address, Customer, Location, Coupon, VehicleClass, Corporation, Corporate
from datetime import datetime
HOSTNAME = 'localhost'
USERNAME = 'root'
PASSWORD = '123456'
DATABASE = 'proj_p2'
def get_connection():
my_sql_connection = pymysql.connect(host=HOST... | [
"import pymysql\nfrom app_module.models import User, Vehicle, Address, Customer, Location, Coupon, VehicleClass, Corporation, Corporate\nfrom datetime import datetime\n\nHOSTNAME = 'localhost'\nUSERNAME = 'root'\nPASSWORD = '123456'\nDATABASE = 'proj_p2'\n\n\ndef get_connection():\n my_sql_connection = pymysql.c... | false |
7,661 | 1803f634c8e833f4a92ae35bcfafb04dfd1d2305 | #!/usr/bin/env python
import sys
def solve(n, k):
wrap = 2 ** n
snaps_that_matter = k % wrap
return snaps_that_matter == wrap - 1
def main():
lines = sys.stdin.readlines()
T = int(lines[0])
for i, line in enumerate(lines[1:]):
N, K = line.split(' ')
on = solve(int(N), int... | [
"#!/usr/bin/env python\n\nimport sys\n\ndef solve(n, k):\n wrap = 2 ** n\n snaps_that_matter = k % wrap\n return snaps_that_matter == wrap - 1\n\ndef main():\n lines = sys.stdin.readlines()\n T = int(lines[0])\n \n for i, line in enumerate(lines[1:]):\n N, K = line.split(' ')\n on... | true |
7,662 | 299b437c007d78c3d9a53205de96f04d2c6118e0 | # -*- coding: utf-8 -*-
"""
Created on Mon Sep 11 07:41:34 2017
@author: Gabriel
"""
months = 12
balance = 4773
annualInterestRate = 0.2
monthlyPaymentRate = 434.9
monthlyInterestRate = annualInterestRate / 12
while months > 0:
minimumMonPayment = monthlyPaymentRate * balance
monthlyUnpaidBa... | [
"# -*- coding: utf-8 -*-\r\n\"\"\"\r\nCreated on Mon Sep 11 07:41:34 2017\r\n\r\n@author: Gabriel\r\n\"\"\"\r\n\r\nmonths = 12\r\nbalance = 4773\r\nannualInterestRate = 0.2\r\nmonthlyPaymentRate = 434.9\r\nmonthlyInterestRate = annualInterestRate / 12\r\n\r\nwhile months > 0:\r\n minimumMonPayment = monthlyPay... | false |
7,663 | 632c690261b31c7ac0e1d90c814e3b9a7a0dcb29 | #
# @lc app=leetcode.cn id=784 lang=python3
#
# [784] 字母大小写全排列
#
# @lc code=start
# 回溯法 --> 通过 64 ms 13.5 MB
class Solution:
def __init__(self):
self.result = []
def letterCasePermutation(self, S: str) -> List[str]:
arr = list(S)
self.backtracing(arr, 0)
return self.result
... | [
"#\n# @lc app=leetcode.cn id=784 lang=python3\n#\n# [784] 字母大小写全排列\n#\n\n# @lc code=start\n# 回溯法 --> 通过 64 ms 13.5 MB\nclass Solution:\n def __init__(self):\n self.result = []\n\n def letterCasePermutation(self, S: str) -> List[str]:\n arr = list(S)\n self.backtracing(arr, 0)\n ret... | false |
7,664 | 214585956e44ce006db0702fd23692b11459f9e1 | from five import grok
from zope.formlib import form
from zope import schema
from zope.interface import implements
from zope.component import getMultiAdapter
from plone.app.portlets.portlets import base
from plone.memoize.instance import memoize
from plone.portlets.interfaces import IPortletDataProvider
from Products.Fi... | [
"from five import grok\nfrom zope.formlib import form\nfrom zope import schema\nfrom zope.interface import implements\nfrom zope.component import getMultiAdapter\nfrom plone.app.portlets.portlets import base\nfrom plone.memoize.instance import memoize\nfrom plone.portlets.interfaces import IPortletDataProvider\nfro... | false |
7,665 | bd726c86bdecd0b63eb48d056932706d3ecf147d | import os,sys
import logging
from flask import Flask
from flask_bootstrap import Bootstrap
from flask_sqlalchemy import SQLAlchemy
def create_app():
app = Flask(__name__)
Bootstrap(app)
return app
logging.basicConfig(level=logging.DEBUG)
app = create_app()
app.config['WTF_CSRF_ENABLED'] = True
app.config[... | [
"import os,sys\nimport logging\nfrom flask import Flask\nfrom flask_bootstrap import Bootstrap\nfrom flask_sqlalchemy import SQLAlchemy\n\ndef create_app():\n app = Flask(__name__)\n Bootstrap(app)\n return app\n\nlogging.basicConfig(level=logging.DEBUG)\napp = create_app()\napp.config['WTF_CSRF_ENABLED'] ... | false |
7,666 | a1141e6aae6992a5037d53093378f0d346f2ca29 | #!/usr/bin/env python
from pathlib import Path
import os
from setuptools import setup, find_packages
install_requires = [
"numpy",
"tensorflow-hub==0.4.0",
"bert-tensorflow==1.0.1",
"click"
]
# Hacky check for whether CUDA is installed
has_cuda = any("CUDA" in name.split("_") for name in os.environ.... | [
"#!/usr/bin/env python\nfrom pathlib import Path\nimport os\n\nfrom setuptools import setup, find_packages\n\n\ninstall_requires = [\n \"numpy\",\n \"tensorflow-hub==0.4.0\",\n \"bert-tensorflow==1.0.1\",\n \"click\"\n]\n\n# Hacky check for whether CUDA is installed\nhas_cuda = any(\"CUDA\" in name.spli... | false |
7,667 | 87f672919f6019e549508b239c798301d5f549bd | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright 2015-2016 Applatix, Inc. All rights reserved.
#
'''
cAdvisor CLI. Used by axstats temporarily before moving to Heapster
'''
import requests
import logging
import time
logger = logging.getLogger(__name__)
CHECK_LIVELINESS_INTERVAL = 5
CONNECTION_TIMEOUT = 5
... | [
"#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n#\n# Copyright 2015-2016 Applatix, Inc. All rights reserved.\n#\n\n'''\ncAdvisor CLI. Used by axstats temporarily before moving to Heapster\n'''\n\nimport requests\nimport logging\nimport time\n\nlogger = logging.getLogger(__name__)\nCHECK_LIVELINESS_INTERVAL = 5\nCO... | false |
7,668 | 68e1e39f193537367d899c5fd01c1361ed93ef29 | n, k = raw_input().split()
n = int(n)
k = int(k)
div = 0
for i in range(n):
new = int(raw_input())
if (new % k) == 0:
div += 1
print div | [
"n, k = raw_input().split()\nn = int(n)\nk = int(k)\n\ndiv = 0\n\nfor i in range(n):\n new = int(raw_input())\n if (new % k) == 0:\n div += 1\n\nprint div"
] | true |
7,669 | 7ee3301b55d323d156bd394f8525e37502d19430 | number = int(input())
bonus = 0
if number <= 100:
bonus = 5
total_point = number + bonus
elif number > 1000:
bonus = 0.1 * number
total_point = number + bonus
else:
bonus = 0.2 * number
total_point = number + bonus
if number % 2 == 0:
bonus = bonus + 1
total_point = number +... | [
"number = int(input())\r\nbonus = 0\r\nif number <= 100:\r\n bonus = 5\r\n total_point = number + bonus\r\nelif number > 1000:\r\n bonus = 0.1 * number\r\n total_point = number + bonus\r\nelse:\r\n bonus = 0.2 * number\r\n total_point = number + bonus\r\nif number % 2 == 0:\r\n bonus = bonus + ... | false |
7,670 | c6fa8c33630fc2f7ffb08aace1a260e6805ddfa2 | """Main application for FastAPI"""
from typing import Dict
from fastapi import FastAPI
from fastapi.openapi.utils import get_openapi
from cool_seq_tool.routers import default, mane, mappings, SERVICE_NAME
from cool_seq_tool.version import __version__
app = FastAPI(
docs_url=f"/{SERVICE_NAME}",
openapi_url=... | [
"\"\"\"Main application for FastAPI\"\"\"\nfrom typing import Dict\n\nfrom fastapi import FastAPI\nfrom fastapi.openapi.utils import get_openapi\n\n\nfrom cool_seq_tool.routers import default, mane, mappings, SERVICE_NAME\nfrom cool_seq_tool.version import __version__\n\n\napp = FastAPI(\n docs_url=f\"/{SERVICE_... | false |
7,671 | 66f6639ae62fe8c0b42171cf3e3fb450d8eee2b2 | from pypc.a_primitives.nand import nand
# nand gates used: 5
def half_adder(a: bool, b: bool) -> (bool, bool):
"""Returns a + b in the form of a tuple of two bools representing the two
bits."""
nand_a_b = nand(a, b)
nand_c = nand(nand_a_b, a)
nand_d = nand(nand_a_b, b)
high = nand(na... | [
"from pypc.a_primitives.nand import nand\r\n\r\n\r\n# nand gates used: 5\r\ndef half_adder(a: bool, b: bool) -> (bool, bool):\r\n \"\"\"Returns a + b in the form of a tuple of two bools representing the two\r\n bits.\"\"\"\r\n nand_a_b = nand(a, b)\r\n nand_c = nand(nand_a_b, a)\r\n nand_d = nand(nan... | false |
7,672 | 90c9456bf22745d99fa76dbc752beae1a3835682 | from field import print_field
from math_utilite import sign, col
def start_parameter_2(par):
global cell_king, castling_control, trans, take_on_aisle
cell_king = par[0]
castling_control = par[1]
trans = par[2]
take_on_aisle = par[3]
def det_cell_king(field):
global cell_king
cell_king... | [
"from field import print_field\nfrom math_utilite import sign, col\n\n\ndef start_parameter_2(par):\n global cell_king, castling_control, trans, take_on_aisle\n cell_king = par[0]\n castling_control = par[1]\n trans = par[2]\n take_on_aisle = par[3]\n \ndef det_cell_king(field):\n global cell_k... | false |
7,673 | 52872804a069cd954bea247b64041eceafd8d139 | __author__ = 'Administrator'
#coding:utf-8
def calculate_score(calculation_params):
"""
计算选手在一跳中的得分，共7名裁判，去掉两个最高分和两个最低分，余下3名裁判员的分数之和乘以运动员所跳动作的难度系数，便得出该动作的实得分
传入参数为字典
calculation_params["score_list"] = []
calculation_params["difficulty"] = float
"""
score_list = calculation_params["score_list... | [
"__author__ = 'Administrator'\n#coding:utf-8\ndef calculate_score(calculation_params):\n \"\"\"\n 计算选手在一跳中的得分，共7名裁判，去掉两个最高分和两个最低分，余下3名裁判员的分数之和乘以运动员所跳动作的难度系数，便得出该动作的实得分\n 传入参数为字典\n calculation_params[\"score_list\"] = []\n calculation_params[\"difficulty\"] = float\n \"\"\"\n score_list = calcul... | true |
7,674 | 4958d6d88b762e6fbe860123b7274c16b6452605 | import sqlalchemy
from .base import Base
from sqlalchemy import Column, Integer, String, ForeignKey
from sqlalchemy.dialects.postgresql import UUID
from sqlalchemy.orm import relationship
class ModelSpellVariantPair(Base):
__tablename__ = "spell_variant_pair"
uuid = Column(
UUID(as_uuid=True),
... | [
"import sqlalchemy\nfrom .base import Base\nfrom sqlalchemy import Column, Integer, String, ForeignKey\nfrom sqlalchemy.dialects.postgresql import UUID\nfrom sqlalchemy.orm import relationship\n\n\nclass ModelSpellVariantPair(Base):\n __tablename__ = \"spell_variant_pair\"\n\n uuid = Column(\n UUID(as_... | false |
7,675 | af1eab58fd641b14ac054fa26e28d52c9741fb16 | import copy
import os
from datetime import datetime
import numpy as np
from sklearn.neighbors import NearestNeighbors
from sklearn.preprocessing import normalize
ROOT_DIR = os.path.join(os.path.dirname(os.path.abspath(__file__)), '../')
DATA_FILE = os.path.join(ROOT_DIR, 'data/data_train.csv')
TRAINING_FILE_NAME = os.... | [
"import copy\nimport os\nfrom datetime import datetime\nimport numpy as np\nfrom sklearn.neighbors import NearestNeighbors\nfrom sklearn.preprocessing import normalize\n\nROOT_DIR = os.path.join(os.path.dirname(os.path.abspath(__file__)), '../')\nDATA_FILE = os.path.join(ROOT_DIR, 'data/data_train.csv')\nTRAINING_F... | false |
7,676 | 87562ce2a957de3fa2eb84cbb0de18c6ce264c6b | # -*- coding: utf-8 -*-
"""
This file is part of pyCMBS.
(c) 2012- Alexander Loew
For COPYING and LICENSE details, please refer to the LICENSE file
"""
import unittest
from pycmbs import data4D
class TestPycmbsData4D(unittest.TestCase):
def setUp(self):
pass
def test_DummyTest(self):
pass
i... | [
"# -*- coding: utf-8 -*-\n\"\"\"\nThis file is part of pyCMBS.\n(c) 2012- Alexander Loew\nFor COPYING and LICENSE details, please refer to the LICENSE file\n\"\"\"\n\nimport unittest\nfrom pycmbs import data4D\n\nclass TestPycmbsData4D(unittest.TestCase):\n\n def setUp(self):\n pass\n\n def test_DummyT... | false |
7,677 | 3e19ede2112a109a776b607e927e2f0a095ba5cc | from .__init__ import *
def surfaceAreaCone(maxRadius=20, maxHeight=50, unit='m'):
a = random.randint(1, maxHeight)
b = random.randint(1, maxRadius)
slopingHeight = math.sqrt(a**2 + b**2)
problem = f"Surface area of cone with height = {a}{unit} and radius = {b}{unit} is"
ans = int(math.pi * b * s... | [
"from .__init__ import *\n\n\ndef surfaceAreaCone(maxRadius=20, maxHeight=50, unit='m'):\n a = random.randint(1, maxHeight)\n b = random.randint(1, maxRadius)\n\n slopingHeight = math.sqrt(a**2 + b**2)\n problem = f\"Surface area of cone with height = {a}{unit} and radius = {b}{unit} is\"\n ans = int... | false |
7,678 | d27a7ca04e12d50aca5a9f9db199102dbeb4e9f1 | from django.http import JsonResponse
from django.shortcuts import render
from phone_number_parser.forms import TextForm
import re
def parse_text(request):
###########################################################################
#
# Parse Text is the lone view for this project. A GET request renders a
... | [
"from django.http import JsonResponse\nfrom django.shortcuts import render\nfrom phone_number_parser.forms import TextForm\nimport re\n\n\ndef parse_text(request):\n ###########################################################################\n #\n # Parse Text is the lone view for this project. A GET reque... | false |
7,679 | 9f6cfeff9e00079715827a2887263c14a1bb51ff | import os, tempfile, shutil
from flask import Flask, flash, request, redirect, url_for, send_from_directory, send_file
from werkzeug.utils import secure_filename
from contextlib import contextmanager
"""
Flask stores uploaded FileStorage objects in memory if they are small. Otherwise, it internally uses tempfile.gett... | [
"import os, tempfile, shutil\nfrom flask import Flask, flash, request, redirect, url_for, send_from_directory, send_file\nfrom werkzeug.utils import secure_filename\nfrom contextlib import contextmanager\n\n\n\"\"\"\nFlask stores uploaded FileStorage objects in memory if they are small. Otherwise, it internally use... | false |
7,680 | 26a6fe0b2a98aa77b63a336cd6c2afcfe81d9058 | #!/usr/bin/env python3
import os
import subprocess
import emailgen
#
# Header information
#
recipient = input("recipient: ")
sender = input("sender: ")
password = input("sender password: ")
subject = "hdd temp alert"
#
# Get hdd temp, format for email
#
output = subprocess.check_output('sudo hddtemp /dev/sda /dev/sd... | [
"#!/usr/bin/env python3\nimport os\nimport subprocess\nimport emailgen\n\n\n#\n# Header information\n#\nrecipient = input(\"recipient: \")\nsender = input(\"sender: \")\npassword = input(\"sender password: \")\nsubject = \"hdd temp alert\"\n\n#\n# Get hdd temp, format for email\n#\noutput = subprocess.check_output(... | false |
7,681 | cc23eeed44ff66d68c700163cca8b9f4986d497d | # Copyright (C) 2019 Catalyst Cloud Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable la... | [
"# Copyright (C) 2019 Catalyst Cloud Ltd\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\"); you may\n# not use this file except in compliance with the License. You may obtain\n# a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required b... | false |
7,682 | 6ef78e4308f6e693f50df714a5d7af1785e49d7a |
from utils import *
import copy
import torch.nn as nn
CUDA = torch.cuda.is_available()
def train_one_epoch(data_loader, net, loss_fn, optimizer):
net.train()
tl = Averager()
pred_train = []
act_train = []
for i, (x_batch, y_batch) in enumerate(data_loader):
if CUDA:
... | [
"\r\nfrom utils import *\r\nimport copy\r\nimport torch.nn as nn\r\n\r\nCUDA = torch.cuda.is_available()\r\n\r\n\r\ndef train_one_epoch(data_loader, net, loss_fn, optimizer):\r\n net.train()\r\n tl = Averager()\r\n pred_train = []\r\n act_train = []\r\n for i, (x_batch, y_batch) in enumerate(data_loa... | false |
7,683 | 14d31a4b7491a7f7a64cd151e79c23546e4a3cd2 | #ABC114 A - クイズ
print("ABC" if input()=="1" else "chokudai")
| [
"#ABC114 A - クイズ\nprint(\"ABC\" if input()==\"1\" else \"chokudai\")\n",
"print('ABC' if input() == '1' else 'chokudai')\n",
"<code token>\n"
] | false |
7,684 | aaa9665ac6d639e681fddd032058f490ce36d12a | from django.shortcuts import render
from django.views.generic import DetailView
from .models import Course
# Create your views here.
def courses_list_view(request):
products = Course.objects.all()
title = "دوره ها"
context = {
"object_list": products,
"title": title,
}
return re... | [
"from django.shortcuts import render\nfrom django.views.generic import DetailView\nfrom .models import Course\n\n\n# Create your views here.\n\ndef courses_list_view(request):\n products = Course.objects.all()\n title = \"دوره ها\"\n context = {\n \"object_list\": products,\n \"title\": title... | false |
7,685 | ba26aa2f33983019b515c5ea287bd5d5d190eeac | N,M=map(int,input().split())
if N>=M//2:
print(M//2)
else:
answer=N
M-=2*N
N=0
print(answer+M//4) | [
"N,M=map(int,input().split())\n\nif N>=M//2:\n print(M//2)\nelse:\n answer=N\n M-=2*N\n N=0\n print(answer+M//4)",
"N, M = map(int, input().split())\nif N >= M // 2:\n print(M // 2)\nelse:\n answer = N\n M -= 2 * N\n N = 0\n print(answer + M // 4)\n",
"<assignment token>\nif N >= M // 2:\n ... | false |
7,686 | ca6a9656efe439c9e90f2724e38e652a09e46dae | """
Test 1, problem 1.
Authors: David Mutchler, Dave Fisher, Valerie Galluzzi, Amanda Stouder,
their colleagues and Nathan Gupta. March 2016.
""" # DONE: 1. PUT YOUR NAME IN THE ABOVE LINE.
def main():
""" Calls the TEST functions in this module. """
test_problem1a()
test_problem1b()
t... | [
"\"\"\"\nTest 1, problem 1.\n\nAuthors: David Mutchler, Dave Fisher, Valerie Galluzzi, Amanda Stouder,\n their colleagues and Nathan Gupta. March 2016.\n\"\"\" # DONE: 1. PUT YOUR NAME IN THE ABOVE LINE.\n\n\ndef main():\n \"\"\" Calls the TEST functions in this module. \"\"\"\n test_problem1a()... | false |
7,687 | 5c80561a3344c0240e59500e5dadc1f1ef7f380e | str="mama"
stringlength=len(str)
slicedString=str[stringlength::-1]
print (slicedString) | [
"str=\"mama\"\r\nstringlength=len(str)\r\nslicedString=str[stringlength::-1]\r\nprint (slicedString)",
"str = 'mama'\nstringlength = len(str)\nslicedString = str[stringlength::-1]\nprint(slicedString)\n",
"<assignment token>\nprint(slicedString)\n",
"<assignment token>\n<code token>\n"
] | false |
7,688 | 7633944366c6655306bc41087b19a474e9c414b5 | from django.contrib import admin
from .models import Spot
from leaflet.admin import LeafletGeoAdmin
class SpotAdmin(LeafletGeoAdmin):
pass
admin.site.register(Spot, SpotAdmin)
| [
"from django.contrib import admin\nfrom .models import Spot\nfrom leaflet.admin import LeafletGeoAdmin\n\n\nclass SpotAdmin(LeafletGeoAdmin):\n pass\n\nadmin.site.register(Spot, SpotAdmin)\n",
"from django.contrib import admin\nfrom .models import Spot\nfrom leaflet.admin import LeafletGeoAdmin\n\n\nclass Spot... | false |
7,689 | ea045d04b40341f34c780dceab1f21df93b7207a | # A class is like a blueprint for creating objects. An object has properties and methods(functions) associated with it. Almost everything in Python is an object
# import connect
# from connect import connect
#create class
import pymysql
# import MySQLdb
conn = pymysql.connect(host='127.0.0.1',user='root',password='',... | [
"# A class is like a blueprint for creating objects. An object has properties and methods(functions) associated with it. Almost everything in Python is an object\n# import connect \n# from connect import connect\n#create class\n\nimport pymysql\n# import MySQLdb\nconn = pymysql.connect(host='127.0.0.1',user='root',... | false |
7,690 | 39643454cbef9e6fa7979d0f660f54e07d155bc7 | #!/usr/bin/env python3
'''Testing File'''
import tensorflow.keras as K
def test_model(
network, data, labels, verbose=True
):
'''A Function that tests
a neural network'''
return network.evaluate(
x=data,
y=labels,
verbose=verbose
)
| [
"#!/usr/bin/env python3\n'''Testing File'''\nimport tensorflow.keras as K\n\n\ndef test_model(\n network, data, labels, verbose=True\n):\n '''A Function that tests\n a neural network'''\n return network.evaluate(\n x=data,\n y=labels,\n verbose=verbose\n )\n",
"<docstring token... | false |
7,691 | 8766003a85b1ed83927988df147b0b3004cb91f9 | def solution(name):
Len = len(name)
nameList = [name[i] for i in range(Len)]
nameField = ['A' for i in range(Len)]
answer = 0
# 정방향
for i in range(Len):
a = ord(nameField[i])
b = ord(nameList[i])
if b-a <= 13 : # 절반 이하면 그냥 더하고
answer += b-a
... | [
"def solution(name):\n Len = len(name)\n nameList = [name[i] for i in range(Len)]\n nameField = ['A' for i in range(Len)]\n answer = 0\n \n # 정방향\n for i in range(Len):\n a = ord(nameField[i])\n b = ord(nameList[i])\n if b-a <= 13 : # 절반 이하면 그냥 더하고\n a... | false |
7,692 | ea876d903263c907f63b2f37a81f2576345dae62 | botnet = open("bots.txt","r")
bots = botnet.read()
print(bots.split('\n'))
botnet.close() | [
"botnet = open(\"bots.txt\",\"r\")\nbots = botnet.read()\nprint(bots.split('\\n'))\nbotnet.close()",
"botnet = open('bots.txt', 'r')\nbots = botnet.read()\nprint(bots.split('\\n'))\nbotnet.close()\n",
"<assignment token>\nprint(bots.split('\\n'))\nbotnet.close()\n",
"<assignment token>\n<code token>\n"
] | false |
7,693 | d3b00a8d410248aedb1c43354e89ccc298b56a3c | # -*- coding: utf-8 -*-
# @Time : 2020/3/4 10:34
# @Author : YYLin
# @Email : 854280599@qq.com
# @File : Skip_GAN.py
from Dataload import load_anime_old, save_images, load_CelebA
from Srresnet_Model import Generator_srresnet, Discriminator_srresnet
import tensorflow as tf
import numpy as np
import sys... | [
"# -*- coding: utf-8 -*-\r\n# @Time : 2020/3/4 10:34\r\n# @Author : YYLin\r\n# @Email : 854280599@qq.com\r\n# @File : Skip_GAN.py\r\nfrom Dataload import load_anime_old, save_images, load_CelebA\r\nfrom Srresnet_Model import Generator_srresnet, Discriminator_srresnet\r\nimport tensorflow as tf\r\nimport nu... | false |
7,694 | 211ef4c64e42c54423ac8dab2128952874a2cf5a | # Generated by Django 2.2.10 on 2020-03-13 14:02
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('system', '0005_location'),
]
operations = [
migrations.AddField(
model_name='setting',
name='runned_locations_initi... | [
"# Generated by Django 2.2.10 on 2020-03-13 14:02\n\nfrom django.db import migrations, models\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('system', '0005_location'),\n ]\n\n operations = [\n migrations.AddField(\n model_name='setting',\n name='run... | false |
7,695 | bce16762c0739087a8309872da4ac04298c50893 | """Step (with Warm up) learning rate scheduler module."""
from typing import Union
import torch
from torch.optim.lr_scheduler import _LRScheduler
from typeguard import check_argument_types
from espnet2.schedulers.abs_scheduler import AbsBatchStepScheduler
class WarmupStepLR(_LRScheduler, AbsBatchStepScheduler):
... | [
"\"\"\"Step (with Warm up) learning rate scheduler module.\"\"\"\nfrom typing import Union\n\nimport torch\nfrom torch.optim.lr_scheduler import _LRScheduler\nfrom typeguard import check_argument_types\n\nfrom espnet2.schedulers.abs_scheduler import AbsBatchStepScheduler\n\n\nclass WarmupStepLR(_LRScheduler, AbsBat... | false |
7,696 | 83fe635e35711c2c41d043a59d00a50cc87e69fa | "Base document saver context classes."
import copy
import os.path
import sys
import flask
from . import constants
from . import utils
class BaseSaver:
"Base document saver context."
DOCTYPE = None
EXCLUDE_PATHS = [["_id"], ["_rev"], ["doctype"], ["modified"]]
HIDDEN_VALUE_PATHS = []
def __ini... | [
"\"Base document saver context classes.\"\n\nimport copy\nimport os.path\nimport sys\n\nimport flask\n\nfrom . import constants\nfrom . import utils\n\n\nclass BaseSaver:\n \"Base document saver context.\"\n\n DOCTYPE = None\n EXCLUDE_PATHS = [[\"_id\"], [\"_rev\"], [\"doctype\"], [\"modified\"]]\n HIDD... | false |
7,697 | f4dd9500835cb22a859da8bd57487052522bb593 |
alien_0 = {} # 声明一个空字典
alien_0['color'] = 'green' # 向空字典中添加值
alien_0['points'] = 5
print(alien_0)
x = alien_0['color']
print(f"\nThe alien is {alien_0['color']}") # 引号的用法
alien_0['color'] = 'yellow' # 对字典中的元素重新赋值
print(f"The alien is now {alien_0['color']}")
| [
"\nalien_0 = {} # 声明一个空字典\n\nalien_0['color'] = 'green' # 向空字典中添加值\nalien_0['points'] = 5\n\nprint(alien_0)\n\nx = alien_0['color']\n\nprint(f\"\\nThe alien is {alien_0['color']}\") # 引号的用法\n\nalien_0['color'] = 'yellow' # 对字典中的元素重新赋值\n\nprint(f\"The alien is now {alien_0['color']}\")\n\n",
"alien_0 = {}\nalien_... | false |
7,698 | 64c4b64b6fb0cfa25c17f66243c60a5dc0166017 | #!/usr/bin/python
#Autor: Jesus Fabian Cubas <jfabian@computer.org>
#if
sesion = 2
if sesion == 1 :
print 'estamos en la sesion 01'
elif sesion == 2 :
print 'estamos en la sesion 02'
else :
print 'no estamos en la sesion 01'
#while
edad = 0
while edad < 18 :
edad = edad + 1
print edad
#for
lista = ["a", "b", "c"... | [
"#!/usr/bin/python\n#Autor: Jesus Fabian Cubas <jfabian@computer.org>\n\n#if\nsesion = 2\nif sesion == 1 :\n\tprint 'estamos en la sesion 01'\nelif sesion == 2 :\n\tprint 'estamos en la sesion 02'\nelse :\n\tprint 'no estamos en la sesion 01'\n\n#while\nedad = 0\nwhile edad < 18 :\n\tedad = edad + 1\nprint edad\n\n... | true |
7,699 | 2b7bb02a25504e7481d3bc637ea09bcf9addb990 | import os
from xml.dom import minidom
import numpy as np
def get_branches_dir(root_dir):
branches_dir = []
folds = os.listdir(root_dir)
while folds:
branch_dir = root_dir + '/' + folds.pop()
branches_dir.append(branch_dir)
return branches_dir
def tolist(xml, detname):
try:
... | [
"import os\nfrom xml.dom import minidom\nimport numpy as np\n\n\ndef get_branches_dir(root_dir):\n branches_dir = []\n folds = os.listdir(root_dir)\n while folds:\n branch_dir = root_dir + '/' + folds.pop()\n branches_dir.append(branch_dir)\n return branches_dir\n\n\ndef tolist(xml, detnam... | false |
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