code stringlengths 13 1.2M | order_type stringclasses 1
value | original_example dict | step_ids listlengths 1 5 |
|---|---|---|---|
# Generated by Django 2.1.5 on 2019-08-03 23:15
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('crm', '0003_auto_20190802_2211'),
]
operations = [
migrations.AlterModelOptions(
name='customerinfo',
options={'verbose_name... | normal | {
"blob_id": "b90fb1e657d4c7e186a7b889eee586527bec4413",
"index": 2040,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Migration(migrations.Migration):\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Migration(migrations.Migration):\n dependencies = [('crm', '0003... | [
0,
1,
2,
3,
4
] |
from chalicelib.utilities import *
def Error(app):
@app.route('/errors', cors=True, methods=['POST'])
@printError
def errors():
request = app.current_request
data = request.json_body
print(data)
return data
| normal | {
"blob_id": "f100757fcb1bef334f9f8eacae83af551d2bac5b",
"index": 3239,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef Error(app):\n\n @app.route('/errors', cors=True, methods=['POST'])\n @printError\n def errors():\n request = app.current_request\n data = request.json_body\... | [
0,
1,
2
] |
# coding: utf-8
# In[1]:
import matplotlib.pyplot as plt
import matplotlib
import pandas as pd
import numpy as np
from pandas import DataFrame, Series
import os, re
# In[2]:
OUTPUT_EXCEL = '월별원내약품사용현황.xlsx'
# In[3]:
# 데이타셋 준비
data_source_dir = '사용량월별통계/원내'
dfs = []
for fname in os.listdir(data_source_dir):
... | normal | {
"blob_id": "16b425d7b8cde1aabe038ccae6922091afb84415",
"index": 411,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef get_last(s):\n try:\n return max(s)\n except:\n return s\n\n\n<mask token>\n",
"step-3": "<mask token>\nOUTPUT_EXCEL = '월별원내약품사용현황.xlsx'\ndata_source_dir = '사... | [
0,
1,
3,
4,
5
] |
from typing import *
class Solution:
def uniquePaths(self, m: int, n: int) -> int:
map_: List[List[int]] = [[0 if (i > 0 and j > 0) else 1 for j in range(m)] for i in range(n)]
for row in range(1, n):
for col in range(1, m):
map_[row][col] = map_[row][col - 1] + map_[ro... | normal | {
"blob_id": "e2a38d38d2ab750cf775ed0fbdb56bc6fc7300c4",
"index": 8934,
"step-1": "<mask token>\n\n\nclass Solution:\n <mask token>\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass Solution:\n\n def uniquePaths(self, m: int, n: int) ->int:\n map_: List[List[int]] = [[(0 if i > 0 and j > 0 e... | [
1,
2,
3,
4,
5
] |
from nonebot_plugin_datastore import get_plugin_data
from sqlalchemy import UniqueConstraint
from sqlalchemy.orm import Mapped, MappedAsDataclass, mapped_column
Model = get_plugin_data().Model
class MorningGreeting(MappedAsDataclass, Model):
__table_args__ = (
UniqueConstraint(
"platform",
... | normal | {
"blob_id": "28e5667db4a620ec627cd94154a024b4c8dbc5f7",
"index": 6171,
"step-1": "<mask token>\n\n\nclass MorningGreeting(MappedAsDataclass, Model):\n <mask token>\n id: Mapped[int] = mapped_column(init=False, primary_key=True)\n platform: Mapped[str]\n bot_id: Mapped[str]\n group_id: Mapped[str] ... | [
1,
2,
3,
4,
5
] |
import os
from pathlib import Path
import Algorithmia
API_KEY = os.environ.get('ALGO_API_KEY')
DATA_DIR_BASE = os.environ.get('DATA_DIR')
ORIGINAL_DATA_DIR = DATA_DIR_BASE + 'original/'
TRANSFERD_DATA_DIR = DATA_DIR_BASE + 'transferd/'
def upload(client, fnames):
for im in fnames:
im = Path(im)
... | normal | {
"blob_id": "2536b22c2d154e87bdecb72cc967d8c56ddb73fb",
"index": 609,
"step-1": "<mask token>\n\n\ndef upload(client, fnames):\n for im in fnames:\n im = Path(im)\n client.file(ORIGINAL_DATA_DIR + str(im.name)).put(im.read_bytes())\n\n\n<mask token>\n\n\ndef style_transfer(fnames, out_folder, fi... | [
2,
3,
4,
5,
6
] |
#!/usr/bin/env python
import re
pdfs_file = './pdf_names_2017.txt'
sessions_file = './session_names_2017.txt'
with open(pdfs_file) as f:
pdf_names = f.read().splitlines()
with open(sessions_file) as f:
session_names = f.read().splitlines()
#for i in xrange(0,len(pdf_names)):
# print str(i+1).zfill(3) +... | normal | {
"blob_id": "e686d8617360c5a3ce35bd4d2bdeb2376b33f53a",
"index": 9726,
"step-1": "#!/usr/bin/env python\n\nimport re\n\n\npdfs_file = './pdf_names_2017.txt'\nsessions_file = './session_names_2017.txt'\n\nwith open(pdfs_file) as f:\n pdf_names = f.read().splitlines()\n\nwith open(sessions_file) as f:\n sess... | [
0
] |
from time import sleep
import pytest
import allure
from app.debug_api import DebugAPI
from app.check_api import HandlersAPI
from locators.movies_details_locators import MoviesDetailsPageLocators
from locators.movies_locators import MoviesPageLocators
from locators.shedule_locators import ShedulePageLocators
from screen... | normal | {
"blob_id": "c7c412fe4e2d53af1b4f2a55bd3453496767890d",
"index": 975,
"step-1": "<mask token>\n\n\n@pytest.mark.usefixtures('driver')\nclass Test_001_ShedulePage:\n <mask token>\n <mask token>\n\n def test_001_elements_exists(self, driver):\n \"\"\"тапнуть на фичерс,\n тапнуть на смотреть ... | [
4,
5,
6,
7
] |
import logging
formatter = logging.Formatter("%(asctime)s [%(levelname)s] : %(message)s")
log = logging.getLogger("othello")
log.setLevel(logging.DEBUG)
stream_hander = logging.StreamHandler()
stream_hander.setFormatter(formatter)
log.addHandler(stream_hander)
| normal | {
"blob_id": "675fbdfd519d00ab10bf613e8abb7338e484fe65",
"index": 57,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nlog.setLevel(logging.DEBUG)\n<mask token>\nstream_hander.setFormatter(formatter)\nlog.addHandler(stream_hander)\n",
"step-3": "<mask token>\nformatter = logging.Formatter('%(asctime)s [%... | [
0,
1,
2,
3,
4
] |
import logging
from unittest.mock import patch, Mock
from intake.tests.base_testcases import ExternalNotificationsPatchTestCase
from intake.tests import mock, factories
from intake.tests.mock_org_answers import get_answers_for_orgs
from intake.management.commands import send_followups
from user_accounts.models import O... | normal | {
"blob_id": "5cb67e5fcedafca4ce124e4094cbd8e1e9d95bb4",
"index": 3740,
"step-1": "<mask token>\n\n\nclass TestCommand(ExternalNotificationsPatchTestCase):\n <mask token>\n\n @patch('intake.management.commands.send_followups.is_the_weekend')\n @patch('intake.management.commands.send_followups.FollowupsSe... | [
2,
3,
4,
5,
6
] |
import csv
import sqlite3
import time
from datetime import datetime, timedelta
import pandas as pd
import pytz
import json
import urllib
import numpy as np
DATABASE = '/var/www/html/citibikeapp/citibikeapp/citibike_change.db'
def execute_query(cur,query, args=()):
cur = cur.execute(query, args)
rows = cur.fet... | normal | {
"blob_id": "9b8b196e1ad845ab745dabe5abe3be7bea0d5695",
"index": 4835,
"step-1": "<mask token>\n\n\ndef convertTime(et):\n \"\"\"'2017-06-01 11:41:53 AM' to '2017-06-01 11:41:53' \"\"\"\n hour = int(et[11:13])\n if et.find('PM') != -1 and hour != 12:\n dateString = et[:10]\n hour = hour + ... | [
4,
7,
10,
12,
13
] |
from flask import Flask
from flask_sqlalchemy import SQLAlchemy
from config import config
import os
db = SQLAlchemy()
static_file_dir = os.path.join(os.path.dirname(os.path.realpath(__file__)),
'static')
def create_app(config_name):
app = Flask(__name__, static_folder=static_file_dir)
app.config.from_obje... | normal | {
"blob_id": "bee6ba1db608c1d9c8114f89d4b3abab795a6b86",
"index": 3843,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef create_app(config_name):\n app = Flask(__name__, static_folder=static_file_dir)\n app.config.from_object(config[config_name])\n config[config_name].init_app(app)\n fro... | [
0,
1,
2,
3
] |
# Generated by Django 3.1.7 on 2021-03-24 14:51
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Products_Table',
fields=[
('product_id', mo... | normal | {
"blob_id": "90b9dcd2dfc28446d1979d58ed49a12a85ce5b98",
"index": 7429,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Migration(migrations.Migration):\n <mask token>\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Migration(migrations.Migration):\n initial = T... | [
0,
1,
2,
3,
4
] |
# -*- coding: utf-8 -*-
"""
Created on Tue Jul 18 13:39:05 2017
@author: jaredhaeme15
"""
import cv2
import numpy as np
from collections import deque
import imutils
import misc_image_tools
frameFileName = r"H:\Summer Research 2017\Whirligig Beetle pictures and videos\large1.mp4"
cap = cv2.VideoCapture(r"H:\Summer ... | normal | {
"blob_id": "5ccfad17ede9f685ea9ef9c514c0108a61c2dfd6",
"index": 8699,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile 1:\n successFlag, frame = cap.read()\n if not successFlag:\n cv2.waitKey(0)\n break\n lower_hsv_thresholdcr = np.array([0, 250, 250])\n upper_hsv_threshold... | [
0,
1,
2,
3,
4
] |
# put your python code here
a = int(input())
b = int(input())
# and
i = 1
if a == b:
print(a)
else:
while True:
if i // a > 0 and i % a == 0 and i // b > 0 and i % b == 0:
print(i)
break
else:
i += 1
| normal | {
"blob_id": "af5ebdcd818fdf9c607240733b7b5dbb793cf55e",
"index": 7328,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif a == b:\n print(a)\nelse:\n while True:\n if i // a > 0 and i % a == 0 and i // b > 0 and i % b == 0:\n print(i)\n break\n else:\n ... | [
0,
1,
2,
3
] |
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'KEY.ui'
#
# Created by: PyQt5 UI code generator 5.11.3
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_KEY(object):
def setupUi(self, KEY):
KEY.setObjectName("KEY")
... | normal | {
"blob_id": "1dab0084666588f61d0f9f95f88f06ed9d884e5b",
"index": 3892,
"step-1": "<mask token>\n\n\nclass Ui_KEY(object):\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass Ui_KEY(object):\n\n def setupUi(self, KEY):\n KEY.setObjectName('KEY')\n KEY.resize(419, 106)\n ... | [
1,
2,
3,
4,
5
] |
import time as t
class Record:
def __init__(self, value=10, name='name'):
self.id = name
self.value = value
def __get__(self, instance, owner):
with open('record.txt', 'a') as f:
msg = '读取变量%s ' % self.id
tmp = t.localtime()[:6]
form = ['年', '月', ... | normal | {
"blob_id": "3e1540a06c478d471f6e6a190cadc44d5c4c2467",
"index": 665,
"step-1": "<mask token>\n\n\nclass Record:\n\n def __init__(self, value=10, name='name'):\n self.id = name\n self.value = value\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass Record:\n\n def __... | [
2,
3,
4,
5
] |
#!/usr/bin/python
#encoding=utf-8
import os, sys
rules = {
'E': ['A'],
'A': ['A+M', 'M'],
'M': ['M*P', 'P'],
'P': ['(E)', 'N'],
'N': [str(i) for i in range(10)],
}
#st为要扫描的字符串
#target为终止状态，即最后的可接受状态
def back(st, target):
reduced_sets = set()
#cur为当前规约后的字符串，hist为记录的规约规则
def _back(cur, ... | normal | {
"blob_id": "93953f025fed2bcabf29433591689c0a7adf9569",
"index": 8757,
"step-1": "#!/usr/bin/python\n#encoding=utf-8\n\nimport os, sys\n\nrules = {\n 'E': ['A'],\n 'A': ['A+M', 'M'],\n 'M': ['M*P', 'P'],\n 'P': ['(E)', 'N'],\n 'N': [str(i) for i in range(10)],\n}\n\n#st为要扫描的字符串\n#target为终止状态，即最后的可... | [
0
] |
from selenium import webdriver
driver = webdriver.Chrome()
driver.get("http://192.168.1.248:9079/#/")
lanuage = driver.find_element_by_class_name("el-dropdown-trigger-text")
print(type(lanuage))
print(lanuage.text)
try:
driver.find_element_by_class_name("el-dropdown-trigger-text").text =="中文"
print("符合要求")
... | normal | {
"blob_id": "6a1f58af26bbc4d584ffd699c512ef433ffb80d8",
"index": 7206,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ndriver.get('http://192.168.1.248:9079/#/')\n<mask token>\nprint(type(lanuage))\nprint(lanuage.text)\ntry:\n driver.find_element_by_class_name('el-dropdown-trigger-text').text == '中文'\n... | [
0,
1,
2,
3,
4
] |
#
# @lc app=leetcode id=267 lang=python3
#
# [267] Palindrome Permutation II
#
# https://leetcode.com/problems/palindrome-permutation-ii/description/
#
# algorithms
# Medium (33.28%)
# Total Accepted: 24.8K
# Total Submissions: 74.4K
# Testcase Example: '"aabb"'
#
# Given a string s, return all the palindromic perm... | normal | {
"blob_id": "4e538251dedfe0b9ffb68de2de7dc50681320f1f",
"index": 8619,
"step-1": "#\n# @lc app=leetcode id=267 lang=python3\n#\n# [267] Palindrome Permutation II\n#\n# https://leetcode.com/problems/palindrome-permutation-ii/description/\n#\n# algorithms\n# Medium (33.28%)\n# Total Accepted: 24.8K\n# Total Sub... | [
0
] |
# Generated by Django 3.2.6 on 2021-10-10 17:17
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import uuid
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
... | normal | {
"blob_id": "8cec6778f530cb06e4f6cb2e6e9b6cb192d20f97",
"index": 3280,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Migration(migrations.Migration):\n <mask token>\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Migration(migrations.Migration):\n initial = T... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/python
"""
demo_mininet_topo.py
Sample topology class with Mininet.
G = {V, E}
V = {h1, h2, h3, h4, h51, h52, s0, s1, s4, s5}
# of hosts = 6
# of switches = 4
E = {
(h1, s1), (h2, s1), (h3, s1),
(h4, s4),
(h51, s5), (h52, s5),
(s0, s1), (s0, s4), (s5, s4)
}
"""
from mininet.topo import Top... | normal | {
"blob_id": "8c69813bc576a56c25c828fe24e2707e65ac0d0d",
"index": 5628,
"step-1": "<mask token>\n\n\nclass DemoTopology(Topo):\n <mask token>\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass DemoTopology(Topo):\n\n def __init__(self):\n Topo.__init__(self)\n h1 = self.h1 = self.addHo... | [
1,
2,
3,
4,
5
] |
from __future__ import print_function
from __future__ import absolute_import
from builtins import str
from builtins import range
from builtins import object
import hashlib
from xml.sax.saxutils import escape
from struct import unpack, pack
import textwrap
import json
from .anconf import warning, error, CONF, enable_c... | normal | {
"blob_id": "2e6f04c3ff3e47a2c3e9f6a7d93e7ce2955a2756",
"index": 8354,
"step-1": "<mask token>\n\n\nclass SVs(object):\n\n def __init__(self, size, ntuple, buff):\n self.__size = size\n self.__value = ntuple._make(unpack(self.__size, buff))\n\n def _get(self):\n l = []\n for i i... | [
35,
62,
63,
65,
71
] |
# Named Entity Recognition on Medical Data (BIO Tagging)
# Bio-Word2Vec Embeddings Source and Reference: https://github.com/ncbi-nlp/BioWordVec
import os
import re
import torch
import pickle
from torch import nn
from torch import optim
import torch.nn.functional as F
import numpy as np
import random
from DNC.dnc imp... | normal | {
"blob_id": "eb99def75404bc3b674bcb633714009149f2d50d",
"index": 5097,
"step-1": "<mask token>\n\n\nclass task_NER:\n\n def __init__(self):\n self.name = 'NER_task_bio'\n self.controller_size = 128\n self.controller_layers = 1\n self.num_read_heads = 1\n self.num_write_heads... | [
12,
20,
26,
27,
29
] |
from PIL import Image
from src import urbandictionary_api
from src.card.cardDrawer import CardDrawer
from src.card.cardModel import CardModel
from src.repository import Repository
from src.urbandictionary_api import get_random_word
def save_card(word, image_path, filepath='data/cards/', filename=None):
'''Функци... | normal | {
"blob_id": "6bf1d410a33e3b2535e39e4f8c5c7f8278b3de67",
"index": 330,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef save_card(word, image_path, filepath='data/cards/', filename=None):\n \"\"\"Функция для генерации и сохранения изображения\n Возвращает filepath+filename\n \n Параметры... | [
0,
1,
2,
3,
4
] |
import simple_draw as sd
import random
# sd.resolution = (1400, 900)
# Prepare data for the sun function
def sun_prepare(xpoint, ypoint, radius, color, angle):
delta_list = []
radius_list = []
for delta in range(0, 360, angle):
delta_list.append(delta)
radius_list.append(random.randint(ra... | normal | {
"blob_id": "46babde9c26a944c9d29121b6bbf89a32f242a81",
"index": 251,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef sun_prepare(xpoint, ypoint, radius, color, angle):\n delta_list = []\n radius_list = []\n for delta in range(0, 360, angle):\n delta_list.append(delta)\n rad... | [
0,
1,
2,
3,
4
] |
from pathlib import Path
from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker, Session
# SQLALCHEMY_DATABASE_URL = "postgresql://user:password@postgresserver/db"
SQLALCHEMY_DATABASE_URL = f"sqlite:///{Path(__name__).parent.absolute()}/sql_... | normal | {
"blob_id": "0656c3e1d8f84cfb33c4531e41efb4a349d08aac",
"index": 6747,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nBase.metadata.create_all(bind=engine)\n",
"step-3": "<mask token>\nSQLALCHEMY_DATABASE_URL = (\n f'sqlite:///{Path(__name__).parent.absolute()}/sql_app.db')\nengine = create_engine(S... | [
0,
1,
2,
3,
4
] |
class Node:
def __init__(self, value, next=None):
self.value = value
self.next = next
def __str__(self):
values = []
iter = self
while iter != None:
values.append(iter.value)
iter = iter.next
return ' -> '.join(values)
@staticmethod
... | normal | {
"blob_id": "599310cfd05be28445535bc72251128ed72a9069",
"index": 4372,
"step-1": "class Node:\n\n def __init__(self, value, next=None):\n self.value = value\n self.next = next\n <mask token>\n\n @staticmethod\n def makelist(values):\n node = None\n for i in range(len(value... | [
3,
4,
6,
7
] |
r, n = map(int, input().split())
if r == n:
print("too late")
else:
l = list(range(1, r+1))
for _ in range(n):
l.remove(int(input()))
print(l[0])
| normal | {
"blob_id": "381d3f0890a2916d2e0a21a6a47a5f87afde622d",
"index": 9241,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif r == n:\n print('too late')\nelse:\n l = list(range(1, r + 1))\n for _ in range(n):\n l.remove(int(input()))\n print(l[0])\n",
"step-3": "r, n = map(int, input().s... | [
0,
1,
2,
3
] |
# Given two binary strings, return their sum (also a binary string).
#
# For example,
# a = "11"
# b = "1"
# Return "100".
#
# Show Company Tags
# Show Tags
# Show Similar Problems
class Solution(object):
def addBinary(self, a, b):
"""
:type a: str
:type b: str
:rtype: str
... | normal | {
"blob_id": "9655cba5b459ae8b6812bcebc31cc46e19e52386",
"index": 2741,
"step-1": "<mask token>\n",
"step-2": "class Solution(object):\n <mask token>\n",
"step-3": "class Solution(object):\n\n def addBinary(self, a, b):\n \"\"\"\n :type a: str\n :type b: str\n :rtype: str\n ... | [
0,
1,
2,
3
] |
import math
import operator as op
Symbol = str
Number = (int, float)
Atom = (Symbol, Number)
List = list
Exp = (Atom, List)
Env = dict
def standard_env() -> Env:
"An environment with some scheme standard procedures"
env = Env()
env.update(vars(math)) # sin, cos, sqrt, pi ...
env.update({
... | normal | {
"blob_id": "88862d6bee5d83dd5f1c656a06a9dc46a5254b10",
"index": 3608,
"step-1": "<mask token>\n\n\ndef standard_env() ->Env:\n \"\"\"An environment with some scheme standard procedures\"\"\"\n env = Env()\n env.update(vars(math))\n env.update({'+': op.add, '-': op.sub, '*': op.mul, '/': op.truediv, ... | [
5,
7,
8,
9,
10
] |
# coding: utf-8
"""
__author__: onur koc
"""
import numpy as np
import matplotlib.pyplot as plt
from mpldatacursor import datacursor
#optional to annotate any clicked point
# ------------
# Input values
# ------------
gamma = 23
# Specific weight of the rock mass [kN/m³]
H = 270
# Overburden [m]
nu ... | normal | {
"blob_id": "f9cc9348d36c131aa3d34e4f78f67b008a1b565a",
"index": 7121,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(len(p_i)):\n if p_i[i] > p_cr:\n x.append(u_ie[i])\n else:\n x.append(u_ip[i])\n<mask token>\nfor i in range(len(x_)):\n if x_[i] < 0:\n x__.a... | [
0,
1,
2,
3,
4
] |
import cv2 as cv
import numpy as np
import pytesseract as tes
text = get_text_from_image("resizedReceipt.jpg")
print(text)
def get_text_from_image(imageName):
img = preprocess(imageName)
result = tes.image_to_string(img)
return result
def preprocess(image_name):
image = cv.imread(image_name)
g... | normal | {
"blob_id": "e480136aca96e45cc8a7ca34c1a9d09b96a5a4da",
"index": 4152,
"step-1": "<mask token>\n\n\ndef get_text_from_image(imageName):\n img = preprocess(imageName)\n result = tes.image_to_string(img)\n return result\n\n\n<mask token>\n\n\ndef find_receipt_box(image):\n \"\"\"\n Finds a contour a... | [
5,
7,
8,
9,
10
] |
from tkinter import *
import psycopg2
import sys
import pprint
import Base_de_datos
import MergeSort
class Cliente:
def __init__(self,id=None,nombre=None):
self.id=id
self.nombre=nombre
def ingresar(self):
self.ventanaIngresar= Toplevel()
self.ventanaIngresa... | normal | {
"blob_id": "63d9aa55463123f32fd608ada83e555be4b5fe2c",
"index": 6946,
"step-1": "<mask token>\n\n\nclass Cliente:\n <mask token>\n <mask token>\n\n def BD(self):\n conectar = Base_de_datos.BaseDeDatos()\n comando = (\"INSERT INTO public.cliente(id, nombre) VALUES('\" + self\n .... | [
2,
5,
6,
7,
8
] |
from ctypes import CDLL
svg2pdf = CDLL("./libsvg2pdf.so")
svg2pdf.svg2pdf("report.svg", "teste2.pdf")
svg2pdf.svg2pdf2("report.svg", "teste3.pdf")
| normal | {
"blob_id": "9c85252b4048b5412978b3ac05cd6dde4479e3bf",
"index": 3333,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsvg2pdf.svg2pdf('report.svg', 'teste2.pdf')\nsvg2pdf.svg2pdf2('report.svg', 'teste3.pdf')\n",
"step-3": "<mask token>\nsvg2pdf = CDLL('./libsvg2pdf.so')\nsvg2pdf.svg2pdf('report.svg', '... | [
0,
1,
2,
3,
4
] |
def del_ops3(str1, str2):
# find all common letters in both strings
common1 = [x for x in str1 if x in str2]
common2 = [x for x in str2 if x in str1]
if len(common2) < len(common1):
common1, common2 = common2, common1
# find total of strings with 0, 1, or 2 characters, (2 chars - only if c... | normal | {
"blob_id": "f9d1013fa278b9078e603b012abbdde0be2e0962",
"index": 7926,
"step-1": "<mask token>\n",
"step-2": "def del_ops3(str1, str2):\n common1 = [x for x in str1 if x in str2]\n common2 = [x for x in str2 if x in str1]\n if len(common2) < len(common1):\n common1, common2 = common2, common1\n... | [
0,
1,
2
] |
marks = {
"S":"subject",
"O":"object",
"A":"attribute",
"C":"clause",
}
marks_reverse = {
"subject":"S",
"object":"O",
"attribute":"A",
"clause":"C",
}
| normal | {
"blob_id": "c66b07c45f4a675a6c7fcec82048a3197910d0d8",
"index": 3435,
"step-1": "<mask token>\n",
"step-2": "marks = {'S': 'subject', 'O': 'object', 'A': 'attribute', 'C': 'clause'}\nmarks_reverse = {'subject': 'S', 'object': 'O', 'attribute': 'A', 'clause': 'C'\n }\n",
"step-3": "marks = {\n \"S\":\"... | [
0,
1,
2
] |
# -*- coding: utf-8 -*-
"""
Created on Tue Apr 24 18:50:16 2018
@author: User
"""
# -*- coding: utf-8 -*-
"""
Created on Mon Apr 23 19:05:42 2018
@author: User
"""
from bs4 import BeautifulSoup
import pandas as pd
import numpy as np
import lxml
import html5lib
import csv
path = 'E:/Data Scienc... | normal | {
"blob_id": "c7768e44464703552f579a1ec68b58fd9746a381",
"index": 8743,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nlen(dfhtml)\ndfhtml\ntype(dfhtml)\n<mask token>\nprint(txtnew)\n<mask token>\nf.writelines(str(txtnew))\nf.close()\n<mask token>\n",
"step-3": "<mask token>\npath = (\n 'E:/Data Scie... | [
0,
1,
2,
3,
4
] |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from hilma import Mesh, loadPly, savePly
mesh = Mesh()
loadPly("head.ply", mesh)
verts = []
faces = []
edges = []
uvs = ... | normal | {
"blob_id": "c02af2ecd980da4ceff133c13072ad7c6b724041",
"index": 5329,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nloadPly('head.ply', mesh)\n<mask token>\nfor v in mesh.getVertices():\n verts.append((v.x, v.y, v.z))\nfor t in mesh.getTrianglesIndices():\n faces.append((t.x, t.y, t.z))\nfor e in... | [
0,
1,
2,
3,
4
] |
with expression [as var]
#...BODY...
#object is the result of the expression and must have __enter__ and __exit__ methods
#result of the expression must be context manager - implements context management protocol
#https://www.python.org/dev/peps/pep-0343/
# This PEP adds a new statement "with" to the Python language... | normal | {
"blob_id": "e1787fd4be66d19ab83ece44eacfd96cb488b504",
"index": 722,
"step-1": "with expression [as var]\n\t#...BODY...\n\n#object is the result of the expression and must have __enter__ and __exit__ methods\n#result of the expression must be context manager - implements context management protocol\n\n#https://... | [
0
] |
"""
The Snail v 2
"Buy the dips! ... then wait"
STRATEGY
1. Selects coins that are X% (percent_below) below their X day (LIMIT) maximum
2. ** NEW ** Finds movement (MOVEMENT) range over X Days
- if MOVEMENT* > TAKE_PROFIT coins pass to 3
3. Check coins are not already owned
4. Uses MACD to check if coins are current... | normal | {
"blob_id": "77f94ecd205ae9f240f25d959a6d5cd9cf844d86",
"index": 844,
"step-1": "<mask token>\n\n\nclass TextColors:\n BUY = '\\x1b[92m'\n WARNING = '\\x1b[93m'\n SELL_LOSS = '\\x1b[91m'\n SELL_PROFIT = '\\x1b[32m'\n DIM = '\\x1b[2m\\x1b[35m'\n DEFAULT = '\\x1b[39m'\n YELLOW = '\\x1b[33m'\n ... | [
5,
7,
8,
9,
10
] |
import torch
import torch.nn as nn
from tqdm import tqdm
import torch.nn.functional as F
import torch.multiprocessing as mp
from policy_network import Policy_Network
from util import safe_log
from util import index2word, rearrange_vector_list, get_num_gpus, set_seed
class TestWorker(mp.Process):
def __init__(self,... | normal | {
"blob_id": "c7333d838b87d4c275d9dbb6d7e3047c313b4bc0",
"index": 9212,
"step-1": "<mask token>\n\n\nclass TestWorker(mp.Process):\n <mask token>\n <mask token>\n\n def rollout(self):\n batch_question, batch_question_len, batch_head, batch_answers = (self\n .env.return_batch_data())\n ... | [
6,
9,
10,
12,
14
] |
def html_print(text, title=''):
from IPython.core.display import display, HTML
# create title for the content
display(HTML("<h4>" + str(title) + "</h4>"))
# create content
html = display(HTML("<font size=2 face=Verdana>" + text + "</font>"))
return html
| normal | {
"blob_id": "84a63f60a45f1f8fc1efec8f30345a43c3c30c63",
"index": 7332,
"step-1": "<mask token>\n",
"step-2": "def html_print(text, title=''):\n from IPython.core.display import display, HTML\n display(HTML('<h4>' + str(title) + '</h4>'))\n html = display(HTML('<font size=2 face=Verdana>' + text + '</f... | [
0,
1,
2
] |
import numpy as np
import torch
import torch.nn as nn
from utils import *
from collections import OrderedDict
from torchsummary import summary
class Model(nn.Module):
"""Example usage:
model = Model()
outputs = model(pov_tensor, feat_tensor)
"""
def __init__(self):
super(Model, self).__in... | normal | {
"blob_id": "981cfecdb50b5f3ae326bf3103163f6e814ccc95",
"index": 6857,
"step-1": "<mask token>\n\n\nclass Model(nn.Module):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass Model(nn.Module):\n <mask token>\n <mask token>\n <mask token>\n\n ... | [
1,
2,
4,
5,
6
] |
from django.db.models import Count
from django.utils.text import slugify
from rest_framework.serializers import ModelSerializer, SerializerMethodField, Serializer
from rest_framework import serializers
from category.models import Category
from product.models import Product, GalleryProduct, Stone, Color, Size
... | normal | {
"blob_id": "8be6031caad26ec6b6b99b8d8b8f80d16ad243d4",
"index": 7706,
"step-1": "<mask token>\n\n\nclass ProductsOrderCartSerializer(ModelSerializer):\n\n\n class Meta:\n model = Product\n fields = ['id', 'title', 'slug', 'image']\n\n\nclass ProductDetailSerializer(TaggitSerializer, ModelSerial... | [
9,
15,
16,
17,
21
] |
import os
if __name__ == "__main__":
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "day66.settings")
import django
django.setup()
from applistions.models import MyClass,Student,Teacher,Employee
from django.db.models import Avg, Sum, Max, Min, Count
# 1.求所有人里面工资最高的
ret = Employee.object... | normal | {
"blob_id": "ee72262fb29b46784fb357269dd5160192968c1b",
"index": 1713,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'day66.settings')\n import django\n django.setup()\n from applistions.models import MyClass, Stude... | [
0,
1,
2,
3
] |
#!/usr/bin/env python
from django.http import HttpResponse
try:
import simplejson as json
except ImportError:
import json
from api import *
def index(request):
data = parse_signed_request(request)
if not data.has_key('user_id'):
request_url = oauth_request_url()
... | normal | {
"blob_id": "17f76c2b53b36c81cea7f7616859f5257790cd73",
"index": 9298,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef index(request):\n data = parse_signed_request(request)\n if not data.has_key('user_id'):\n request_url = oauth_request_url()\n return HttpResponse(\"<script>to... | [
0,
1,
2,
3,
4
] |
import numpy as np
import matplotlib.pyplot as plt
x_list = []
y_list = []
file1 = open("pos_data_x.txt", "r")
for line in file1:
#x_list.append(float(file1.readline(line)))
x_list.append(float(line))
file2 = open("pos_data_y.txt", "r")
for line in file2:
#y_list.append(float(file1.readline(line)))
y_list.ap... | normal | {
"blob_id": "d869aa32cb9793ce11a5b6a782cc66c2dd0be309",
"index": 6176,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor line in file1:\n x_list.append(float(line))\n<mask token>\nfor line in file2:\n y_list.append(float(line))\nfile2.close\nfile1.close\n<mask token>\nplt.plot(x_list, y_list, labe... | [
0,
1,
2,
3,
4
] |
from django_evolution.mutations import ChangeField
MUTATIONS = [
ChangeField('ReviewRequest', 'depends_on', initial=None, null=False),
ChangeField('ReviewRequestDraft', 'depends_on', initial=None, null=False),
]
| normal | {
"blob_id": "286953e381d03c0817d57f9ee4e15f2a0ce808a9",
"index": 9776,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nMUTATIONS = [ChangeField('ReviewRequest', 'depends_on', initial=None, null=\n False), ChangeField('ReviewRequestDraft', 'depends_on', initial=None,\n null=False)]\n",
"step-3": "f... | [
0,
1,
2,
3
] |
from functools import reduce
from collections import defaultdict
def memory(count: int, start_numbers: list):
numbers = defaultdict(lambda: tuple(2 * [None]), { el: (idx,None ) for idx,el in enumerate(start_numbers) })
last = start_numbers[-1]
for idx in range(len(numbers), count):
last = 0 if None... | normal | {
"blob_id": "0f0adde7241898d2efe7e2b5cc218e42ed7b73d8",
"index": 5475,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef memory(count: int, start_numbers: list):\n numbers = defaultdict(lambda : tuple(2 * [None]), {el: (idx, None) for \n idx, el in enumerate(start_numbers)})\n last = st... | [
0,
1,
2,
3,
4
] |
# -*- coding: utf-8 -*-
# 导入包
import matplotlib.pyplot as plt
import numpy as np
# 显示中文和显示负号
plt.rcParams['font.sans-serif'] = ['SimHei']
plt.rcParams['axes.unicode_minus'] = False
# X轴和Y轴数据,票房单位亿
a = ["战狼2","速度与激情8","功夫瑜伽","西游伏妖篇","变形金刚5：最后的骑士","摔跤吧！爸爸","加勒比海盗5：死无对证","金刚：骷髅岛","极限特工：终极回归","生化危机6：终章","乘风破浪","神偷奶爸3","... | normal | {
"blob_id": "16d86c48c45ab0441046e968ea364d27f6dcfd12",
"index": 3066,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nplt.figure(figsize=(20, 8), dpi=128)\nplt.barh(a, b, height=0.5, color='red')\nplt.title('2018年电影票房纪录', fontsize=24)\nplt.xlabel('票房(亿元)', fontsize=14)\n<mask token>\nplt.xticks(my_x_tick... | [
0,
1,
2,
3,
4
] |
# 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... | normal | {
"blob_id": "1c5884c10ac0b6a3335f8e677007fc52311245e2",
"index": 7603,
"step-1": "<mask token>\n\n\ndef part_one():\n \"\"\"Solution to Part 1\"\"\"\n return ''.join(networkx.lexicographical_topological_sort(G))\n\n\ndef part_two():\n \"\"\"Solution to Part 2\"\"\"\n tasks = {}\n current_time = 0\... | [
2,
3,
4,
5,
6
] |
'''
Created on 5 Mar 2010
@author: oppianmatt
'''
# hook to find setup tools if not installed
try:
from ez_setup import use_setuptools
use_setuptools()
except ImportError:
pass
from setuptools import setup, find_packages
setup(
name = "django-defaultsite",
version = "1.1",
packages = find_pac... | normal | {
"blob_id": "5580e5942370c925b759b09675306cdfbc7dd4f1",
"index": 3633,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ntry:\n from ez_setup import use_setuptools\n use_setuptools()\nexcept ImportError:\n pass\n<mask token>\nsetup(name='django-defaultsite', version='1.1', packages=find_packages(\n... | [
0,
1,
2,
3
] |
#!/usr/bin/env python
"""
Load API client for a Tool Registry Service (TRS) endpoint based
either on the GA4GH specification or an existing client library.
"""
import logging
from bravado.requests_client import RequestsClient
from ga4ghtest.core.config import trs_config
from .client import TRSClient
logger = logging... | normal | {
"blob_id": "d122267e1da2d9cf68d245148bb496dfba3e7d19",
"index": 4467,
"step-1": "<mask token>\n\n\nclass TRSInterface:\n\n def toolsGet(self):\n raise NotImplementedError\n\n def metadataGet(self):\n raise NotImplementedError\n <mask token>\n <mask token>\n <mask token>\n <mask t... | [
18,
21,
24,
27,
30
] |
from setuptools import setup, find_packages
setup(
name='spt_compute',
version='2.0.1',
description='Computational framework for the Streamflow Prediciton Tool',
long_description='Computational framework to ingest ECMWF ensemble runoff forcasts '
' or otherLand Surface Model foreca... | normal | {
"blob_id": "53b6d30bf52c43daaebe8158002db1072e34f127",
"index": 7956,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nsetup(name='spt_compute', version='2.0.1', description=\n 'Computational framework for the Streamflow Prediciton Tool',\n long_description=\n \"Computational framework to ingest ... | [
0,
1,
2,
3
] |
import sys
from elftools.elf.elffile import ELFFile
from capstone import *
def process_file(filename):
with open(filename, 'rb') as f:
elffile = ELFFile(f)
code = elffile.get_section_by_name('.text')
rodata = elffile.get_section_by_name('.rodata')
plt = elffile.get_section_by_name('... | normal | {
"blob_id": "5bfaadcd54aaf239d0d89158bfb723c0174c56b1",
"index": 9176,
"step-1": "import sys\nfrom elftools.elf.elffile import ELFFile\nfrom capstone import *\n\ndef process_file(filename):\n with open(filename, 'rb') as f:\n elffile = ELFFile(f)\n code = elffile.get_section_by_name('.text')\n ... | [
0
] |
# Procedures for automatic COBD calculation.
# The useful ones are:
# - get_heuristic4_OBD() as a heuristic one [the only heuristic one here that does not miss-out solutions]
# - getOBD2plus4() as the fastest exhaustive one [uses two filtering techniques for early detection of graphs without an OBD]
import itertool... | normal | {
"blob_id": "51711c9293f8b5d9dc4d299569da04e2d1bc0064",
"index": 1982,
"step-1": "\n\n# Procedures for automatic COBD calculation.\n# The useful ones are:\n# - get_heuristic4_OBD() as a heuristic one [the only heuristic one here that does not miss-out solutions]\n# - getOBD2plus4() as the fastest exhaustive one... | [
0
] |
# -*- coding:utf-8 -*-
# author:Kyseng
# file: cRandomString.py
# time: 2018/11/8 11:41 PM
# functhion:
import random
import sys
reload(sys)
sys.setdefaultencoding('utf-8')
class cRandomString():
@staticmethod
def RandomTitle(name):
# name = name.decode('utf8')
# print name
platform =... | normal | {
"blob_id": "ed02cbf3ebef307d6209004e1e388312bfda0b50",
"index": 2027,
"step-1": "<mask token>\n\n\nclass cRandomString:\n\n @staticmethod\n def RandomTitle(name):\n platform = ['PS4', 'XBOX', 'PC', 'NS', 'IOS']\n random.shuffle(platform)\n platform = '/'.join(platform)\n firstW... | [
3,
4,
5,
6,
7
] |
import unittest
from common.ReqLogin import req
import os
import yaml
from common import util
from TestCase.runnerBase import TestInterfaceCase
import paramunittest
PATH = lambda p: os.path.abspath(
os.path.join(os.path.dirname(__file__), p)
)
def getYam(homeyaml):
try:
with open(homeyaml, encoding='ut... | normal | {
"blob_id": "aea196566bbbe9d37bf03b9b17a4062659a27bb6",
"index": 1446,
"step-1": "<mask token>\n\n\nclass UserinfoTest(TestInterfaceCase):\n\n def setUp(self):\n login = req.reqData(req)\n self.infoma = {}\n self.response = ''\n self.infoma['id'] = x['testinfo'][0]['id']\n s... | [
10,
11,
13,
15,
17
] |
import matplotlib.pyplot as plt
import matplotlib
import numpy as np
from PIL import Image
from scipy.misc import imsave, imread
def plots(epochs, train_acc, test_acc, train_loss, test_loss, train_error, test_error,filename):
plt.style.use('bmh')
fig=plt.figure(figsize=(8,6))
plt.plot(epochs,train_acc, ... | normal | {
"blob_id": "93150eb1c6746e2b1967eb5305fa526ae36968fd",
"index": 2003,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef write_csv(filename, train_acc, test_acc, train_loss, test_loss,\n train_error, test_error, epoch):\n if epoch == 0:\n with open(filename, 'w') as f:\n f.wr... | [
0,
1,
2,
3,
4
] |
import random
def less(i1, i2):
return i1[0] * i2[1] < i2[0] * i1[1]
def equal(i1, i2):
return i1[0] * i2[1] == i2[0] * i1[1]
def more(i1, i2):
return i1[0] * i2[1] > i2[0] * i1[1]
def partition(x, l, r, pivot):
il = l
ir = l
for i in range(l, r):
if x[i] < pivot and ir < r:
... | normal | {
"blob_id": "a5e693a79211570f2d27575657496992f8fee164",
"index": 9075,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef less(i1, i2):\n return i1[0] * i2[1] < i2[0] * i1[1]\n\n\ndef equal(i1, i2):\n return i1[0] * i2[1] == i2[0] * i1[1]\n\n\ndef more(i1, i2):\n return i1[0] * i2[1] > i2[0]... | [
0,
5,
7,
8,
9
] |
import tkinter as tk
import random
import numpy as np
import copy
import time
#################################################################################
#
# Données de partie
NbSimulation = 20000
Data = [ [1,1,1,1,1,1,1,1,1,1,1,1,1],
[1,0,0,0,0,0,0,0,0,0,0,0,1],
[1,0,0,0,0,0,0,0,0,0,0... | normal | {
"blob_id": "86177dfa9b8bed5916703edcc16ea4d01cbabf84",
"index": 3278,
"step-1": "<mask token>\n\n\nclass Game:\n\n def __init__(self, Grille, PlayerX, PlayerY, Score=0):\n self.PlayerX = PlayerX\n self.PlayerY = PlayerY\n self.Score = Score\n self.Grille = Grille\n\n def copy(s... | [
8,
11,
14,
15,
17
] |
import hashlib
import sys
def getHashcode(string):
for i in range(10000000000):
hash_md5 = hashlib.md5(str(i).encode('utf-8'))
res = hash_md5.hexdigest()
if res[0:len(string)] == string:
print(i)
exit()
if __name__ == '__main__':
getHashcode(sys.argv[1])
| normal | {
"blob_id": "4c8e3c21dd478606cf09f2e97dc9deed6597dae5",
"index": 4375,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef getHashcode(string):\n for i in range(10000000000):\n hash_md5 = hashlib.md5(str(i).encode('utf-8'))\n res = hash_md5.hexdigest()\n if res[0:len(string)] =... | [
0,
1,
2,
3
] |
l = int(input("Enter lower range: "))
u = int(input("Enter upper range: "))
if(l<=0):
print "invalid"
if (u<=0):
print "invalid"
for num in range(l,u+1):
n = len(str(num))
sum = 0
temp = num
while temp > 0:
digit = temp % 10
sum += digit ** n
... | normal | {
"blob_id": "42fa0aa98e2d3336bdb56cba97596d8532d46cb4",
"index": 2896,
"step-1": "l = int(input(\"Enter lower range: \"))\nu = int(input(\"Enter upper range: \"))\nif(l<=0):\n print \"invalid\"\nif (u<=0):\n print \"invalid\"\n for num in range(l,u+1):\n n = len(str(num))\n sum = 0\n ... | [
0
] |
#!/usr/local/bin/python
''' side_on.py
Open a 3d trajectory file (x y z) and produce a side-on plot of the
y-z plane, with straight line between start and end and a virtual
wall superimposed at 10 yards.
arg1 = infile
arg2 = optional outfile
'''
import sys
import matplotlib.pyplot as plt
infile... | normal | {
"blob_id": "146aca6c7da17ddccb815638292cbcdda66f28e6",
"index": 7035,
"step-1": "#!/usr/local/bin/python\n\n''' side_on.py\n\n Open a 3d trajectory file (x y z) and produce a side-on plot of the\n y-z plane, with straight line between start and end and a virtual\n wall superimposed at 10 yards.\n\n ... | [
0
] |
import time
import ephem
import serial
import nmea
import orientation
import sys
import threading
from geomag import geomag
#Constants
initial_az = 180
initial_alt = 90
min_elevation = 10.0
sleep_time = 1.0
unwind_threshold = 180
sleep_on_unwind = 45.0
last_lon = '-88.787'
last_lat = '41.355'
last_heading = 0.0
moun... | normal | {
"blob_id": "468b5bd8d7b045ca8dd46c76a1829fc499e16950",
"index": 5756,
"step-1": "<mask token>\n\n\nclass SerialTester:\n\n def write(self, line):\n print(line)\n\n def read(self, num):\n return\n\n\nclass Antenna:\n azimuth = initial_az\n altitude = initial_alt\n parked = True\n\n ... | [
15,
18,
21,
25,
26
] |
import numpy as np
import matplotlib.pyplot as plt
import sympy as sp
import matplotlib.pyplot as plt
from sympy import sympify, Symbol
curr_pos = 0
import numpy as np
def bisection(st,maxnum,maxer,xlf,xuf):
file2 = open("test.txt","w")
file2.write("Hello World")
file2.close()
fi = open("test.txt", "w")
x... | normal | {
"blob_id": "a1c1f18e7b95f36a214a1a16f2434be2825829c3",
"index": 3110,
"step-1": "<mask token>\n\n\ndef bisection(st, maxnum, maxer, xlf, xuf):\n file2 = open('test.txt', 'w')\n file2.write('Hello World')\n file2.close()\n fi = open('test.txt', 'w')\n x = sp.Symbol('x')\n y = sp.Symbol('y')\n ... | [
1,
2,
3,
4,
5
] |
# Set up path references and dependencies.
import os, sys, inspect
currentdir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))
parentdir = os.path.dirname(currentdir)
sys.path.insert(0, parentdir)
sys.path.append(os.path.join(parentdir, "utils"))
# Import important helper libraries.
from fla... | normal | {
"blob_id": "7d099012584b84e9767bf0ce9d9df1596ca3bbab",
"index": 542,
"step-1": "<mask token>\n\n\n@app.route('/')\ndef index():\n result_plot = compute_model_output()\n return render_template('index.html', graphJSON=result_plot)\n\n\ndef compute_model_output():\n num_steps = 500\n init_inf = 5\n ... | [
2,
3,
4,
5,
6
] |
# Generated by Django 2.2.2 on 2019-07-09 20:04
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('blog', '0015_auto_20190709_1543'),
]
operations = [
migrations.CreateModel(
name='ExampleModel',
fields=[
... | normal | {
"blob_id": "d6e06a78c9a5d8184e5adf9b99cc6030c3434558",
"index": 8464,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Migration(migrations.Migration):\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Migration(migrations.Migration):\n dependencies = [('blog', '001... | [
0,
1,
2,
3,
4
] |
from emulator import Emulator
from device import Device
from devices.compactflash import CompactFlash
from devices.mc68681 import MC68681
from musashi import m68k
def add_arguments(parser):
parser.add_argument('--rom',
type=str,
help='ROM image')
parser.add_argu... | normal | {
"blob_id": "9eef202a42bfc10b2f52d1b9153d664c5046c13f",
"index": 1965,
"step-1": "<mask token>\n\n\nclass CB030Ticker(Device):\n\n def __init__(self, args, **options):\n super().__init__(args=args, name='CB030Ticker', required_options=[\n 'address'], **options)\n self.size = 4096\n ... | [
7,
11,
13,
14,
15
] |
from robot.libraries.BuiltIn import BuiltIn
from RoboGalaxyLibrary.utilitylib import logging as logger
import re
def block_no_keyword_warn():
pass
class Compare_hpMCTP(object):
def __init__(self):
self.fusionlib = BuiltIn().get_library_instance('FusionLibrary')
def do(self, expect, actual, ver... | normal | {
"blob_id": "17ba6aaa9009c258136b184ca6a8660cec1cfe40",
"index": 3752,
"step-1": "<mask token>\n\n\nclass Compare_hpMCTP(object):\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass Compare_hpMCTP(object):\n <mask token>\n\n def do(self, expect, actual, verbose=False):\n\n d... | [
1,
2,
4,
5,
6
] |
import json
import time
from typing import Dict
import threading
"""
Note: każdy request uruchamia osobny wątek.
Przegląd: `top -H -p <process_id>`
"""
from flask import Flask, jsonify, request
app = Flask(__name__)
# https://www.tutorialspoint.com/flask/flask_http_methods.htm
# ładowanie konfiguracji aplika... | normal | {
"blob_id": "8fcc2a13fd5a803e2d755a567c78c8274bd88aad",
"index": 7283,
"step-1": "<mask token>\n\n\nclass Auth:\n <mask token>\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\n@app.route('/welcome/<username>/suffix/<message>')\ndef welcome(username, message):\n return jsonify({'comment': f'Hello {usern... | [
1,
3,
6,
9,
10
] |
import cv2 as cv
'''色彩空间介绍'''
'''
RGB:对于RGB的色彩空间是立方体的色彩空间 三通道 红 黄 蓝 每个灰度级为255
HSV:对于HSV的色彩空间是255度的圆柱体 三通道 高度 圆心角 半径分别是255
HIS
YCrCb
YUV
'''
'''常用的色彩空间转换函数***cvtColor'''
def colorSpaceConvert(image):
'''转换到灰度空间'''
res = cv.cvtColor(image, cv.COLOR_BGR2GRAY)
cv.imshow("gray", res)
'''转换到HSV色彩空间'''
r... | normal | {
"blob_id": "6d359d987c50fd0d5e963d467a379eb245e3eb40",
"index": 3756,
"step-1": "<mask token>\n\n\ndef colorSpaceConvert(image):\n \"\"\"转换到灰度空间\"\"\"\n res = cv.cvtColor(image, cv.COLOR_BGR2GRAY)\n cv.imshow('gray', res)\n \"\"\"转换到HSV色彩空间\"\"\"\n res = cv.cvtColor(image, cv.COLOR_BGR2HSV)\n ... | [
1,
2,
3,
4,
5
] |
import re
import numpy as np
# only read pgm file
def readfile(filename:str)->tuple:
'''read given pgm file'''
col = 0
row = 0
lst = list()
with open(filename, 'rb') as file:
header = list()
ls = list()
# remove first line
header.append((file.readline()).decode("utf-... | normal | {
"blob_id": "63be96c0d1231f836bbec9ce93f06bda32775511",
"index": 2259,
"step-1": "<mask token>\n\n\ndef convert(lst: list) ->list():\n \"\"\"String Unicode to int\"\"\"\n l = list()\n for item in lst:\n l.append(ord(item))\n return l\n\n\n<mask token>\n\n\ndef write(filename: str, data: list, ... | [
2,
3,
4,
5,
6
] |
# python examples/mnist_rnn.py --bsz 128 --bsz-eval 256
import sys
from argparse import ArgumentParser
import pytorch_lightning as pl
import torch.nn as nn
import torch.optim as optim
from loguru import logger
from slp.config.config_parser import make_cli_parser, parse_config
from slp.data.collators import SequenceCl... | normal | {
"blob_id": "d8a09f9952856da69120fae6221636dd5bd8c93e",
"index": 3567,
"step-1": "<mask token>\n\n\nclass Net(nn.Module):\n\n def __init__(self, input_size, hidden_size=40, num_classes=10,\n bidirectional=False):\n super().__init__()\n self.encoder = RNN(input_size, hidden_size, bidirecti... | [
4,
5,
6,
7,
9
] |
from django.urls import path
from .views import PollsList, SinglePollsView, PollsCreate, PollsAnswer
app_name = "authors"
# app_name will help us do a reverse look-up latter.
urlpatterns = [
path('polls/', PollsList.as_view()),
path('polls/create', PollsCreate.as_view()),
path('polls/<int:pk>', SinglePollsV... | normal | {
"blob_id": "64ac007faeebe0e71ba0060e74fa07154e6291e2",
"index": 6053,
"step-1": "<mask token>\n",
"step-2": "<mask token>\napp_name = 'authors'\nurlpatterns = [path('polls/', PollsList.as_view()), path('polls/create',\n PollsCreate.as_view()), path('polls/<int:pk>', SinglePollsView.as_view(\n )), path('... | [
0,
1,
2,
3
] |
"""
This example shows how to communicate with a SH05 (shutter) connected to a KSC101 (KCube Solenoid).
"""
# this "if" statement is used so that Sphinx does not execute this script when the docs are being built
if __name__ == '__main__':
import os
import time
from msl.equipment import EquipmentRecord, Co... | normal | {
"blob_id": "04b5df5cfd052390f057c6f13b2e21d27bac6449",
"index": 943,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n import os\n import time\n from msl.equipment import EquipmentRecord, ConnectionRecord, Backend\n from msl.equipment.resources.thorlabs import Motio... | [
0,
1,
2
] |
"""
Copyright (c) 2007 by the Pallets team.
Some rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:
* Redistributions of source code must retain the above copyright notice,
this list of conditions and the f... | normal | {
"blob_id": "53cd9d5a79e97bb1af69446a82c747248c3cc298",
"index": 1367,
"step-1": "<mask token>\n\n\ndef _get_headers(environ):\n \"\"\"\n Returns only proper HTTP headers.\n \"\"\"\n for key, value in iteritems(environ):\n key = str(key)\n if key.startswith('HTTP_') and key not in ('HTT... | [
1,
2,
3,
4,
5
] |
#!/usr/bin/env python
"""
Otsu method for automatic estimation of $T$ threshold value
- assumes two maxima of grayscale histogram & searches for optimal separation
Parameters
Usage
Example
$ python <scriptname>.py --image ../img/<filename>.png
## Explain
"""
import numpy as np
import argparse
import mahota... | normal | {
"blob_id": "0547751af7bbac42351476dde591d13d40fb37eb",
"index": 7811,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main():\n ap = argparse.ArgumentParser()\n ap.add_argument('-i', '--image', required=True, help='Path to the image')\n args = vars(ap.parse_args())\n image = cv2.imrea... | [
0,
1,
2,
3,
4
] |
from abc import abstractmethod
class Environment:
@abstractmethod
def __init__(self, agent):
pass
@abstractmethod
def execute_step(self, n=1):
pass
@abstractmethod
def execute_all(self):
pass
@abstractmethod
def set_delay(self, delay):
pass
| normal | {
"blob_id": "8698aedc5c8671f46c73898a7188440254b79bbf",
"index": 307,
"step-1": "<mask token>\n\n\nclass Environment:\n\n @abstractmethod\n def __init__(self, agent):\n pass\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass Environment:\n\n @abstractme... | [
2,
4,
5,
6
] |
# Generated by Django 2.1.7 on 2020-01-09 08:19
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('goods', '0004_auto_20200109_0713'),
]
operations = [
migrations.AlterField(
model_name='banner',
name='show_type',
... | normal | {
"blob_id": "b7687240413441e1d3ed0085e5953f8089cbf4c9",
"index": 9303,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Migration(migrations.Migration):\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Migration(migrations.Migration):\n dependencies = [('goods', '00... | [
0,
1,
2,
3,
4
] |
from __future__ import print_function
import os
import re
import xml.etree.ElementTree as ET
def read_vivado_report(hls_dir, full_report=False):
if not os.path.exists(hls_dir):
print('Path {} does not exist. Exiting.'.format(hls_dir))
return
prj_dir = None
top_func_name = None
if os.p... | normal | {
"blob_id": "7d173b0571c20dc8fcae884451e8f69ba3a05763",
"index": 8087,
"step-1": "<mask token>\n\n\ndef read_vivado_report(hls_dir, full_report=False):\n if not os.path.exists(hls_dir):\n print('Path {} does not exist. Exiting.'.format(hls_dir))\n return\n prj_dir = None\n top_func_name = ... | [
4,
5,
6,
7,
8
] |
import re
APACHE_ACCESS_LOG_PATTERN = '^(\S+) (\S+) (\S+) \[([\w:/]+\s[+\-]\d{4})\] "(\S+) (\S+)\s*(\S*)" (\d{3}) (\S+)'
pattern = re.compile(APACHE_ACCESS_LOG_PATTERN)
print re.match('ix-sac6-20.ix.netcom.com - - [08/Aug/1995:14:43:39 -0400] "GET / HTTP/1.0 " 200 7131', 0)
| normal | {
"blob_id": "0abba9fdd98d6bb5c706b82a01a267dbcefbba28",
"index": 4562,
"step-1": "import re\nAPACHE_ACCESS_LOG_PATTERN = '^(\\S+) (\\S+) (\\S+) \\[([\\w:/]+\\s[+\\-]\\d{4})\\] \"(\\S+) (\\S+)\\s*(\\S*)\" (\\d{3}) (\\S+)'\npattern = re.compile(APACHE_ACCESS_LOG_PATTERN)\nprint re.match('ix-sac6-20.ix.netcom.com -... | [
0
] |
#!/usr/bin/python3
"""display your id from github.
"""
from sys import argv
import requests
if __name__ == "__main__":
get = requests.get('https://api.github.com/user',
auth=(argv[1], argv[2])).json().get('id')
print(get)
| normal | {
"blob_id": "8280f321b102cace462761f9ece2aebf9e28a432",
"index": 3941,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n get = requests.get('https://api.github.com/user', auth=(argv[1], argv[2])\n ).json().get('id')\n print(get)\n",
"step-3": "<mask token>\nfrom s... | [
0,
1,
2,
3
] |
# -*- coding: utf-8 -*-
"""
@File : densenet_block.py
@Time : 12/11/20 9:59 PM
@Author : Mingqiang Ning
@Email : ningmq_cv@foxmail.com
@Modify Time @Version @Description
------------ -------- -----------
12/11/20 9:59 PM 1.0 None
# @Software: PyCharm
"""
import torch
from torch... | normal | {
"blob_id": "c2ba18062b8555c77b329718ec1f2ae7f326c78e",
"index": 1988,
"step-1": "<mask token>\n\n\nclass DenseBlock(nn.Module):\n <mask token>\n\n def forward(self, x):\n out = self.denseblock(x)\n return out\n",
"step-2": "<mask token>\n\n\nclass BottleNeck(nn.Module):\n <mask token>\n... | [
2,
5,
6,
7,
8
] |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2017--2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not
# use this file except in compliance with the License. A copy of the License
# is located at
#
# http://aws.... | normal | {
"blob_id": "8adcd75e925fe0c5a50b2fc7dc8c472a9610b4f2",
"index": 9575,
"step-1": "<mask token>\n\n\ndef smart_open(file, mode='rt', encoding='utf-8'):\n \"\"\"Convenience function for reading compressed or plain text files.\n :param file: The file to read.\n :param mode: The file mode (read, write).\n ... | [
27,
29,
31,
37,
42
] |
class BinarySearchTreeNode:
def __init__(self, node_data):
self.data = node_data
self.left = None
self.right = None
def bst_contains(root: BinarySearchTreeNode, number):
if root is None:
return 0
if(root.data == number):
return 1
elif(root.data < number):
... | normal | {
"blob_id": "3bdf3a48451b83347a6c9a9851b5b85b608f0b63",
"index": 2826,
"step-1": "<mask token>\n",
"step-2": "class BinarySearchTreeNode:\n <mask token>\n\n\n<mask token>\n",
"step-3": "class BinarySearchTreeNode:\n\n def __init__(self, node_data):\n self.data = node_data\n self.left = No... | [
0,
1,
2,
3,
4
] |
# -*- coding:utf-8 -*-
from odoo import api, models, fields, _
class hrsalaryRule(models.Model):
_inherit = "hr.salary.rule"
is_tax_fdfp = fields.Boolean("Est un impôt FDFP") | normal | {
"blob_id": "097a87f7f1346e5db1599e59680232912348aef7",
"index": 311,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass hrsalaryRule(models.Model):\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass hrsalaryRule(models.Model):\n _inherit = 'hr.salary.rule'\n is_tax_... | [
0,
1,
2,
3,
4
] |
from concurrent import futures
import time
import math
import logging
import grpc
import tensorflow as tf
from tensorflow_serving.apis import predict_pb2
from tensorflow_serving.apis import prediction_service_pb2_grpc
import sys
sys.path.append('/home/yitao/Documents/fun-project/tensorflow-related/miniature-winner/')... | normal | {
"blob_id": "0ec5d6ce11851a577046cf73cf98c91b6dfb9f67",
"index": 1550,
"step-1": "<mask token>\n\n\ndef worker():\n display_subtitle = ''\n while True:\n item = q.get()\n image = np.zeros((480, 640))\n if item is not None:\n vertices = item\n show_img = plot_verti... | [
3,
5,
6,
7,
8
] |
import csv as csv
import hashlib
from sets import Set
def func_hash(parameter):
hash_object = hashlib.sha384(parameter)
table_hash = hash_object.hexdigest()
return table_hash
def myFunk():
with open('users.csv', 'w') as fp:
a = csv.writer(fp, delimiter=',')
roles = ['inspector', 'admin']
d... | normal | {
"blob_id": "96d13a883590ca969e997bbb27bcdbee1b24252f",
"index": 2730,
"step-1": "<mask token>\n\n\ndef myFunk():\n with open('users.csv', 'w') as fp:\n a = csv.writer(fp, delimiter=',')\n roles = ['inspector', 'admin']\n data = [['Userneme', 'hash_password', 'role'], ['Olya', func_hash(\... | [
1,
2,
3,
4,
5
] |
import pymongo
import pandas as pd
import re
from pymongo import MongoClient
from nltk.corpus import stopwords
from nltk import word_tokenize
from gensim import corpora
import pickle
client = MongoClient()
db = client.redditCrawler
collection = db.data_test1
def remove_posts(data, index_list):
data = data.drop(i... | normal | {
"blob_id": "341fb4442ba1d1bb13dbbe123e1051e1ceeb91e7",
"index": 4431,
"step-1": "<mask token>\n\n\ndef remove_posts(data, index_list):\n data = data.drop(index_list)\n return data.reset_index(drop=True)\n\n\n<mask token>\n\n\ndef preprocess(text):\n text = text.lower()\n text = text.replace('$', ' '... | [
3,
4,
5,
6,
7
] |
# Comic Downloader
#! python3
import urllib, bs4, requests
url = 'http://explosm.net/comics/39/'
base_url = 'http://explosm.net'
for i in range(1,4000):
req = requests.get(url)
req.raise_for_status()
soup = bs4.BeautifulSoup(req.text, "lxml")
comic = soup.select('#main-comic')
comicUrl = 'http:'... | normal | {
"blob_id": "66e77b8237850a29127402310bfab3061f7ebca4",
"index": 2346,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(1, 4000):\n req = requests.get(url)\n req.raise_for_status()\n soup = bs4.BeautifulSoup(req.text, 'lxml')\n comic = soup.select('#main-comic')\n comicUrl = '... | [
0,
1,
2,
3,
4
] |
"""
@File : jump.py
@copyright : GG
@Coder: Leslie_s
@Date: 2020/1/26
"""
import requests
from lxml import html
import pandas as pd
import time
import pandas as pd
import datetime
import re
import json
headers = {
'accept':'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,appl... | normal | {
"blob_id": "5aecd021297fee4407d6b529c24afb3c6398f7ba",
"index": 7205,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in r:\n print(i.group(1))\n provinceName = i.group(1)\n provinceShortName = i.group(2)\n confirmedCount = i.group(3)\n iter_dict.setdefault(provinceShortName, confirm... | [
0,
1,
2,
3,
4
] |
import re, glob, os
lst = []
def rename(dir, pattern, titlePattern):
for pathAndFilename in glob.iglob(os.path.join(dir, pattern)):
title, ext = os.path.splitext(os.path.basename(pathAndFilename))
#title = title[22:]
#hexa = []
#hexb = []
hexa = title[:2]
hexb = title... | normal | {
"blob_id": "22aa6042b77c3cfd1f102a0ea22a43223e366d2f",
"index": 1476,
"step-1": "<mask token>\n\n\ndef rename(dir, pattern, titlePattern):\n for pathAndFilename in glob.iglob(os.path.join(dir, pattern)):\n title, ext = os.path.splitext(os.path.basename(pathAndFilename))\n hexa = title[:2]\n ... | [
2,
3,
4,
5,
6
] |
#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Wed Mar 11 13:25:03 2020
@author: Dr. Michael Sigmond, Canadian Centre for Climate Modelling and Analysis
"""
import matplotlib.colors as col
import matplotlib.cm as cm
import numpy as np
def register_cccmacms(cmap='all'):
"""create my ... | normal | {
"blob_id": "31a5bf0b275238e651dcb93ce80446a49a4edcf4",
"index": 6561,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef register_cccmacms(cmap='all'):\n \"\"\"create my personal colormaps with discrete colors and register them.\n \n \n default is to register all of them. can also specif... | [
0,
1,
2,
3,
4
] |
import urllib
from django.shortcuts import render, redirect, get_object_or_404
from django.contrib import messages
from django.utils.translation import gettext as _
from .forms import CountryForm
from .models import Countries
from django.utils.timezone import datetime
from django.contrib.auth.decorators import login_re... | normal | {
"blob_id": "8640de519ebf7f95588ac40b55662da85ffc926e",
"index": 5224,
"step-1": "<mask token>\n\n\n@login_required(login_url='user_login')\ndef countries_add(request):\n if request.method == 'POST':\n form = CountryForm(request.POST or None)\n if form.is_valid():\n form.save()\n ... | [
2,
4,
5,
6,
7
] |
import nevergrad as ng
import numpy as np
import torch
from pix2latent.utils.image import binarize
class _BaseNevergradOptimizer():
"""
Base template for NeverGrad optimization. Should be used jointly with
BaseOptimizer.
For full list of available optimizers
> https://github.com... | normal | {
"blob_id": "4a136a6284add3bcbd7f9546e18e79151cea685f",
"index": 623,
"step-1": "<mask token>\n\n\nclass _BaseNevergradOptimizer:\n <mask token>\n\n def __init__(self, method):\n self.method = method\n self.valid_methods = [x[0] for x in ng.optimizers.registry.items()]\n self.sequentia... | [
3,
4,
5,
6,
8
] |
# Patrick Vanegas - Final project
from tkinter import *
import frequency
import turtle
import math
import random
# intitalize a blank window
root = Tk()
# initialize turtle window
window = turtle.Screen()
# Create widgets to be viewed on the Tkinter window
label_1 = Label(root, text = "Enter a number less than 5... | normal | {
"blob_id": "0ac99816248e3306ca6340f7bee8a518877bc3e9",
"index": 1186,
"step-1": "<mask token>\n\n\ndef drawPieChart(central_angles, angle_of_rest, probability_of_rest):\n turtle.reset()\n window.colormode(255)\n turtle.fillcolor('gray')\n turtle.speed(10)\n turtle.begin_fill()\n turtle.circle(... | [
2,
3,
4,
5,
6
] |
import os, glob
import numpy as np
from ..algorithms.utils import get_file_manager
from ..algorithms.clustered_writes import *
from ..exp_utils import create_empty_dir
def test_get_entity_sizes():
# in C order
bytes_per_voxel = 1
R = (10,9,10)
cs = (5,3,2)
partition = (2,3,5)
bs, brs, bss = g... | normal | {
"blob_id": "6dd11f71e514a46462bf0b97ddac9ea474e86ad0",
"index": 366,
"step-1": "<mask token>\n\n\ndef test_get_strategy():\n bytes_per_voxel = 1\n R = 20, 9, 10\n cs = 5, 3, 2\n partition = 4, 3, 5\n bs, brs, bss = get_entity_sizes(cs, bytes_per_voxel, partition)\n test_case = {(5 * 2 * 3): 0,... | [
1,
3,
4,
5,
6
] |
import os
from app_web import sg
from sendgrid.helpers.mail import *
import pdfkit
from models.user import User
from models.expense import Expense
from models.statement import Statement
from models.category import Category
import tempfile
import subprocess
from .aws_uploader import upload_image_to_s3
import datetime
fr... | normal | {
"blob_id": "55df8d13ddf28f7b0477329bee743471a0780f24",
"index": 3253,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef create_statement(month=None):\n\n def _get_pdfkit_config():\n if os.getenv('FLASK_ENV') == 'production':\n WKHTMLTOPDF_CMD = subprocess.Popen(['which', os.env... | [
0,
1,
2,
3
] |
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