seq_id string | text string | repo_name string | sub_path string | file_name string | file_ext string | file_size_in_byte int64 | program_lang string | lang string | doc_type string | stars int64 | dataset string | pt string | api list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
74074471080 | import sys
import numpy as np
import scipy.linalg as la
import scipy.sparse.linalg as las
if len(sys.argv)!=6:
print("Use: cg.py <herm pos def matrix> <target> <x0> <#iterations> <tolerance>\n",file=sys.stderr)
sys.exit(1)
A=np.array(sys.argv[1].split(',')).astype(int)
m=np.sqrt(A.shape[0]).astype(int)
A=A.... | ericjvandervelden/machine_learning | cg2.py | cg2.py | py | 1,309 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.argv",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": ... |
36149035419 | import webapp2
import os
import jinja2
import json
import datetime
from math import sin, cos, sqrt, atan2, radians
from stop_models import Stop
from notification_models import Notification
#from seed_stops_db import seed_data
from twilio.rest import Client
from google.appengine.ext import ndb
import logging
my_file = ... | HaykTheKhulyan/StopGo | main.py | main.py | py | 4,770 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "json.loads",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "jinja2.Environment",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "jinja2.FileSystemLoader",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path.dirname... |
25873095542 | import youtube_dl
import os
ydl_opts = {
'format': 'bestaudio/best',
'postprocessors': [{
'key': 'FFmpegExtractAudio',
'preferredcodec': 'mp3',
'preferredquality': '192',
}],
'outtmpl': 'music/%(title)s.mp3',
'quiet': False
}
def dl_file(url):
with yo... | Schmidt23/Portfolio | Bots/HObot/music.py | music.py | py | 511 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "youtube_dl.YoutubeDL",
"line_number": 18,
"usage_type": "call"
}
] |
13239814510 | from datasets import kitti, mpo
def define_dataset(cfg, phase: str = "train", modality=["depth"]):
if cfg.name == "kitti_odometry":
dataset = kitti.KITTIOdometry(
root=cfg.root,
split=phase,
shape=cfg.shape,
min_depth=cfg.min_depth,
max_depth=cfg... | Abdurrasith/dusty-gan | datasets/__init__.py | __init__.py | py | 754 | python | en | code | null | github-code | 18 | [
{
"api_name": "datasets.kitti.KITTIOdometry",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datasets.kitti",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "datasets.mpo.MPOSparse",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "data... |
25216853902 | # https://leetcode.com/problems/house-robber/
# tags: #array, #blind_75_must_do, #dp, #top_interview_questions
from typing import List
class Solution:
def rob(self, nums: List[int]) -> int:
n = len(nums)
max_amount = [0] * n
max_amount[0] = nums[0]
for i in range(1, n):
... | ronelzb/leetcode | dynamic_programming/0198_house_robber.py | 0198_house_robber.py | py | 554 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 7,
"usage_type": "name"
}
] |
39173795083 | from django.core.management.base import BaseCommand, CommandError
from tooskie.populate import populate_db, populate_db_one_recipe
class Command(BaseCommand):
help = 'Populate database from scrapped data'
def add_arguments(self, parser):
parser.add_argument(
'--recipe',
dest='r... | anth2o/tooskie | tooskie/recipe/management/commands/populate.py | populate.py | py | 621 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "tooskie.populate.populate_db_one_recipe",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "tooskie.populate.populate_db",
"line_number": 18,
"usage_t... |
36463265001 | from django.shortcuts import redirect, render
from . models import JobModel
from django.core.paginator import Paginator
from . forms import ApplyForm, JobModelForm
from django.contrib.auth.decorators import login_required
from . filters import jobFilter
# Create your views here.
def home(request):
context= {
... | Abderahim-Bh/JobBoardRepo | job/views.py | views.py | py | 1,860 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "models.JobModel.objects.all",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "models.JobModel.objects",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "models.JobModel",
"line_number": 13,
"usage_type": "name"
},
{
"api_name... |
17885872139 | # -*- coding:utf-8 -*-
import random
import time
from utils.config import config
from utils.es_client import ElasticsearchClient
from utils.mq_client import RocketProducer, RocketPushConsumer
rocket_producer = RocketProducer({"host": "172.31.236.21", "port": 9876})
rocket_producer.start()
for i in range(10):
data... | nightfall-w/hydrogen | utils/testmq.py | testmq.py | py | 1,548 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "utils.mq_client.RocketProducer",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "random.ra... |
14041972602 | import scrapy
from pbl.items import PblSpider
from pbl.items import ShopCard
import json
class SpiderasortiSpider(scrapy.Spider):
name = 'spiderAsorti'
allowed_domains = ['www.assorti.lt']
start_urls = ['https://www.assorti.lt/katalogas/maistas/']
item = []
list = [{
'sid': 1,
'name... | mrghosti3/cheaper-marketplace | src/crawler/pbl/spiders/spiderAsorti.py | spiderAsorti.py | py | 2,261 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "scrapy.Spider",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "scrapy.Request",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "scrapy.Request",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "pbl.items.ShopCard",
... |
23719581068 | import falcon
from resources import athlete
from resources import plan
from resources import exercise
from services import database_service
from middlewares import (
ContentEncodingMiddleware,
)
conn = database_service.connect()
api = falcon.API(middleware=[
ContentEncodingMiddleware(),
])
# api = falcon.AP... | mertingen/python-falcon-framework-api | app/app.py | app.py | py | 755 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "services.database_service.connect",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "services.database_service",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "falcon.API",
"line_number": 13,
"usage_type": "call"
},
{
"api_name":... |
10884964296 | import binascii
from PIL import Image
new = Image.open('cat_with_secrets.png').load()
old = Image.open('cat_with_secrets_original.jpg').load()
width = 512
in_hex = ''
for y in range(3):
for x in range(width):
if (y, x) <= (2, 125) and new[x, y] != old[x, y]:
in_hex += '%x' % (x % 16)
print(... | PequalsNP-team/pequalsnp-team.github.io | assets/pixel_extraction.py | pixel_extraction.py | py | 347 | python | en | code | 16 | github-code | 18 | [
{
"api_name": "PIL.Image.open",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 5... |
10759128884 | from __future__ import annotations
from typing import List
MAX_COPY = 0x7
MAX_SINGLE = 0x7
class RleNibbleCompressor:
def __init__(self, uncompressed_data: bytes):
if not isinstance(uncompressed_data, memoryview):
uncompressed_data = memoryview(uncompressed_data)
self.uncompressed_da... | SkyTemple/skytemple-files | skytemple_files/compression/rle_nibble/compressor.py | compressor.py | py | 2,093 | python | en | code | 16 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 18,
"usage_type": "name"
}
] |
3272829291 | from bench.common import (
SampleConfig,
register_sample,
SampleSource,
SampleTag,
)
import numpy as np
def get_sample_config():
return SampleConfig(
args_cases=[(12, 12, 12), (16, 16, 16), (32, 32, 32)],
requires_grad=[False] * 3,
backward=[False] * 2,
performance_... | DeepLink-org/DLOP-Bench | bench/samples/long_tail/greedy_decoder/__init__.py | __init__.py | py | 977 | python | en | code | 38 | github-code | 18 | [
{
"api_name": "bench.common.SampleConfig",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "bench.common.SampleSource.ASSEMBLYAI",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "bench.common.SampleSource",
"line_number": 17,
"usage_type": "name"
... |
18703702083 | from sys import stdin
from fractions import Fraction
input = lambda: stdin.readline().strip()
MOD = 1000000007
class Sphere:
__slots__ = ['x', 'r']
def __init__(self, x=0, r=0):
self.x = x
self.r = r
def __lt__(self, other) -> bool:
if self.x + self.r != other.x + other.r:
... | thecasterian/Sandbox | 17378.py | 17378.py | py | 2,793 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.stdin.readline",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "fractions.Fraction",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "fractions.Fraction",
... |
24653645908 | import json
import os
import argparse
def main(output_folder: str, source: str, output_file: str):
"""
Retrieve missing twitter handles.
Args:
output_folder (str): Path to folder with files named after the retrieved users.
source (str): Path to file containing list of users to be retrieve... | sachalevy/tweepipe | scripts/get_remaining.py | get_remaining.py | py | 1,772 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.listdir",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_nu... |
21959973979 | import numpy as np
import matplotlib.pyplot as plt
import scipy.linalg as sci
ti=0
tf=10.
x,h=np.linspace(0,1,100,retstep=True)
dt=0.000052
t=ti
i=0
us= np.where(x<0.5,x,1-x)
m=(dt/h**2)
line,=plt.plot(x,us)
A = np.array(np.zeros((98,98), dtype = np.float))
B = np.array(np.zeros((98,98), dtype = np.flo... | AmitPratap175/3rd-year | ODE_Euler Algorithm_Heat equation/q3_cranknickolson.py | q3_cranknickolson.py | py | 879 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.linspace",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
... |
15654966544 | from django.urls import path
from . import views
urlpatterns=[
path('',views.home,name="home"),
path(r'transfer/(?P<value>\d+)/$',views.modelview,name='modelview'),
path('download/',views.download,name='download'),
path('home/',views.returnhome,name='returnhome'),
path('about/',views.about,name='abo... | swahan1230/sample | transfer/urls.py | urls.py | py | 430 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
34467486756 | import logging
import netCDF4 as nc
import numpy as np
import pandas as pd
import pygrib
import xarray as xr
from abc import ABC, abstractmethod
from datetime import datetime, timedelta
from os import rename
from pathlib import Path
from typing import Optional, Union
from urllib.error import URLError
from globsim.dow... | geocryology/globsim | globsim/download/JRA3Qdownload.py | JRA3Qdownload.py | py | 19,850 | python | en | code | 18 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "globsim.download.GenericDownload.GenericDownload",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "globsim.download.JRAdownload.getPressureLevels",
"line_number": 39,
"u... |
70879321961 | """MNet V6"""
from collections import OrderedDict
import tensorflow as tf
import tensorflow.contrib.layers as tfc_layers
from tensorflow.contrib.framework import arg_scope
from tensorflow.contrib.framework import nest
import numpy as np
from timitate.utils.utils import CoorSys
import tpolicies.ops as tp_ops
import tp... | tencent-ailab/TPolicies | tpolicies/net_zoo/mnet_v6/mnet_v6d6.py | mnet_v6d6.py | py | 37,036 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "tpolicies.net_zoo.mnet_v6.data.MNetV6Config",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "tpolicies.net_zoo.mnet_v6.utils._make_inputs_palceholders",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "tpolicies.net_zoo.mnet_v6.data.MNetV6Inputs... |
14489833295 | # textarea.py
#
# Class to show, save, submit text entries
#
# W.Burnside <wburnsid@u.washington.edu>
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, ... | UWOneLaptop/Classroom-Presenter | ClassroomPresenter.activity/textarea.py | textarea.py | py | 2,743 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "gtk.HBox",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "gtk.HBox.__init__",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "gtk.HBox",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
... |
9707295671 | # Converts my Resume from YAML to TeX.
# Just don't forget to drop pdflatex on the output :)
# ------------------------------------------------------------------------------
# @contributor Aleksandr Mattal <https://github.com/qutebits>
# inspired by work of Brandon Amos <https://github.com/bamos/cv>
import re
import y... | QuteBits/resume_42 | resume_tex.py | resume_tex.py | py | 1,465 | python | en | code | 33 | github-code | 18 | [
{
"api_name": "yaml.safe_load",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "jinja2.Environment",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "jinja2.FileSystemLoader",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.da... |
74312915239 | import torch
from tokenizer import Tokenizer
class TrieNode:
def __init__(self):
self.children = {}
self.end_point = 0
self.word_num = 0
class White_list:
def __init__(self, poi_list, tokenizer: Tokenizer, vocab_size=32000, suffix_constrain=False):
# poi_list = [(poi_id, cat... | liujiaozhiren/lit_llama | pill_each/white_list.py | white_list.py | py | 2,714 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "tokenizer.Tokenizer",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "tokenizer.encode",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "torch.zeros",
"line_number": 49,
"usage_type": "call"
}
] |
15634665109 | import cv2
import numpy as np
import surround_view.param_settings_2 as param
camera_name = "resize_moil_front"
img = cv2.imread("images/"+ camera_name +".png")
matrix = "yaml/"+ camera_name +".yaml"
# print(img.shape)
#
# src = [[231, 264], [537., 231],
# [54., 387.], [862., 326.]]
#
# dst = [[420, 300], [700, ... | aji-ptn/Bird_view | perspective.py | perspective.py | py | 1,669 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cv2.imread",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "surround_view.param_settings_2.project_shapes",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "surround_view.param_settings_2",
"line_number": 17,
"usage_type": "name"
}... |
14097889629 | import aiohttp_cors
from aiohttp import web
from database import Database
routes = web.RouteTableDef()
@routes.post('/add_user')
async def add_user(request):
request_data = await request.json()
user_code = str(request_data["user_code"])
client_type = request_data["client_type"]
user_id = await dat... | stounfo/vegetables | main.py | main.py | py | 7,071 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "aiohttp.web.RouteTableDef",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "aiohttp.web",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "database.user_exists",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "aiohttp.web.... |
45508653694 | # -*- coding: utf-8 -*-
"""
Created on Mon Jun 19 11:58:49 2017
@author: daniel
"""
import psycopg2
import math
import utm
from collections import Counter
import numpy as np
import gdal
import pandas as pd
import os
#import sys
#sys.path.append(r'g:\Water_Nexus\_A3\_scripts_py3')
#import DTBSE_sed_... | dzamrsky/SLR_gw_impacts | _fc_scripts/ws_datatools_py3.py | ws_datatools_py3.py | py | 14,040 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 140,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 141,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_num... |
41147488605 | import torch as t
class Debug_Dataset(t.utils.data.Dataset):
def __init__(self, opt, wrapped_dataset):
self.batch_size = opt.batch_size
self.img_size = opt.img_size
self.dataset = wrapped_dataset
self.classes = wrapped_dataset.classes
self.calls = 0
self.ids... | chrishenn/find_strings | datasets/debug_dataset.py | debug_dataset.py | py | 574 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.utils",
"line_number": 5,
"usage_type": "attribute"
}
] |
28798831000 | from django.shortcuts import render, HttpResponse, redirect
from models import *
from django.contrib import messages
from django.db.models import Count
def index(request):
# Giving value to session
try:
request.session['userid']
except KeyError:
request.session['userid'] = ""
if reque... | inyhsu/Book | apps/belt_review/views.py | views.py | py | 4,191 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.shortcuts.redirect",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.contrib.messages.warning",
"line_number": 24,
"usage_type": "call"
},
{
... |
33552467184 | import rospy
from cv_bridge import CvBridge
from sensor_msgs.msg import Image
import cv2
from kinect import imgMsg2cv2
import numpy as np
def imgMsg2cv2(msg):
if msg.encoding == 'bgra8':
image = np.frombuffer(msg.data, dtype=np.uint8)
image = image.reshape([msg.height, msg.width, 4])
image ... | zhouxian/franka | camera/record_video.py | record_video.py | py | 1,982 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "numpy.frombuffer",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "numpy.frombuffer",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
... |
39719717134 | import gym
from gym import spaces
from gym.utils import seeding
class RouletteEnv(gym.Env):
"""Simple roulette environment
The roulette wheel has 37 spots. If the bet is 0 and a 0 comes up,
you win a reward of 35. If the parity of your bet matches the parity
of the spin, you win 1. Otherwise you rece... | AI4Finance-Foundation/FinRL-Tutorials | DQN-DDPG_Stock_Trading/gym/envs/toy_text/roulette.py | roulette.py | py | 1,392 | python | en | code | 599 | github-code | 18 | [
{
"api_name": "gym.Env",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "gym.spaces.Discrete",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "gym.spaces",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "gym.spaces.Discrete",
... |
38977981914 | import sqlite3
from DESCipher import DESCipher
from collections import namedtuple
import os
def gen_doc(db_name='exam_somarx.db', password=None):
if not os.path.exists('output'):
os.mkdir('output')
cipher = DESCipher(password) if password else None
db = sqlite3.connect(db_name)
courses = ['mzd... | netcan/MyCrawler | HFUT_Exam_Crawler_Py/gen_doc.py | gen_doc.py | py | 1,927 | python | en | code | 55 | github-code | 18 | [
{
"api_name": "os.path.exists",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "DESCipher.DESCipher",
"line_num... |
32148841424 | # 假如A被感染，前3天为潜伏期，不发作也不会传染人，
# 第4天开始发作，从发作到治愈需要7天时间，期间每天传染3个人
# 探究一下传播曲线
import matplotlib.pyplot as plt
import matplotlib.animation as ani
from matplotlib.font_manager import FontProperties
def covid(n):
days = incubation + cure_period
# 列表：潜伏期, 发病期, 发病, 治愈, 现存， 累计
temp = [0 for _ in range(days + 4)]
... | hongm32/2020design | 其他教学参考/公开课/【公开课《周而复始的循环》(陶)】/新冠疫情传播.py | 新冠疫情传播.py | py | 2,683 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "matplotlib.font_manager.FontProperties",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 60,
"usage_type": "name"
},
{
... |
13707909406 | # src/tests/conftest.py
import pytest
from app import main
# see: http://flask.pocoo.org/docs/1.0/testing/
@pytest.fixture
def client():
main.app.config['TESTING'] = True
client = main.app.test_client()
yield client
# http://flask.pocoo.org/docs/1.0/testing/#testing-json-apis
def test_hello_greets_greete... | keblato/RecommendationMicroservice | src/tests/conftest.py | conftest.py | py | 912 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "app.main.app",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "app.main",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "app.main.app.test_client",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "app.main.app",
... |
21805863883 | import zhipuai
import requests
import json
import base64
import wave
import pydub
from io import BytesIO
from aip import AipSpeech
baidu_keys = {}
def set_bd_keys(keys):
global baidu_keys
baidu_keys = keys
BOTS = {}
class Bot:
def __init__(self):
with open("background.txt", "r", encoding="utf-8") ... | LeChocolatChaud/ElderlyAssistant | server/utils.py | utils.py | py | 1,957 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "zhipuai.model_api.sse_invoke",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "zhipuai.model_api",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "aip.AipSpeech",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "zhi... |
14769278571 | from django.contrib.auth import login, authenticate, logout
from django.contrib.auth.decorators import login_required
from django.contrib.auth.models import User
from django.shortcuts import render, redirect
# Create your views here.
from users.forms.login_form import LoginForm
from users.forms.register_form import Re... | Tatyana-Petkova/MeasureHashimoto | users/views.py | views.py | py | 3,595 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "users.forms.register_form.RegisterForm",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "users.forms.register_form.RegisterForm",
"line_number": 20,
"usage_type": ... |
4003156124 | import collections
import functools
import itertools
import threading
import warnings
import numpy as np
from tensorflow.python.autograph.core import ag_ctx
from tensorflow.python.autograph.impl import api as autograph
from tensorflow.python.distribute import distribute_lib
from tensorflow.python.eager import context... | tensorflow/tensorflow | tensorflow/python/keras/engine/base_layer_v1.py | base_layer_v1.py | py | 97,169 | python | en | code | 178,918 | github-code | 18 | [
{
"api_name": "tensorflow.python.keras.engine.base_layer.Layer",
"line_number": 54,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.python.keras.engine.base_layer",
"line_number": 54,
"usage_type": "name"
},
{
"api_name": "itertools.chain",
"line_number": 124,
"usa... |
75036065321 | from langchain.document_loaders import YoutubeLoader
from langchain.tools import Tool
from langchain.agents import initialize_agent
from langchain.agents import AgentType
from langchain import PromptTemplate
from langchain.chains import LLMChain
from main import llm
from langchain.embeddings.openai import OpenAIEmbeddi... | DebparnoB/Youtube-Video-Summarizer | youtube_summarizer.py | youtube_summarizer.py | py | 2,764 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "langchain.embeddings.openai.OpenAIEmbeddings",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "langchain.PromptTemplate",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "langchain.chains.LLMChain",
"line_number": 37,
"usage_type": "call"... |
28108759840 | #!/usr/bin/env python3
import pwn
host = "dctf1-chall-hotel-rop.westeurope.azurecontainer.io"
port = 7480
target = "hotel_rop"
def exploit(remote):
if remote:
pr = pwn.connect(host, port)
else:
pr = pwn.process(target)
try:
elf = pwn.ELF(target)
rop = pwn.ROP(elf)
... | onealmond/hacking-lab | dctf-2021/hotel-rop/exploit.py | exploit.py | py | 1,684 | python | en | code | 72 | github-code | 18 | [
{
"api_name": "pwn.connect",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pwn.process",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pwn.ELF",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pwn.ROP",
"line_number": 17,
... |
74782725161 | import re
import networkx as nx
from functools import cache
INPUT_FILE = "2022/inputs/day16.txt"
@cache
def dummy_flow_optimizer(
graph: nx.Graph, # graph with flow attribute set on the nodes
position: str, # current positions
total: int, # current total
steps_left: int,
):
"""
Dummy recur... | danieltsoukup/adventofcode | 2022/code/archive/day16_part1.py | day16_part1.py | py | 5,423 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "networkx.Graph",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "functools.cache",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "networkx.DiGraph",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "networkx.DiG... |
34935049275 | import pygame
from pygame.math import Vector2
from Player import *
from math import sin
from math import cos
from random import randint
class CirclePattern():
"""Lasers Fire inwards in a circular pattern"""
def __init__(this, screen, laser, size, speed, radius, center, timeToLive = 1800):
### Universal... | taliyos/Retalion | Patterns.py | Patterns.py | py | 6,912 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "math.cos",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "math.sin",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "pygame.math.Vector2",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "math.cos",
"line_number": 9... |
74760308521 | import numpy as np
import torch
from kuka import KukaCamEnv1, KukaCamEnv2, KukaCamEnv3
from agent import WBAgent, base1, base2, base3, ReplayBufferFast
import csv
import pickle
import argparse
from rich.progress import Progress, BarColumn, TimeElapsedColumn, TimeRemainingColumn
def collect_demo(env, log_dir... | IRMVLab/BCLearning | learn.py | learn.py | py | 7,534 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "agent.base1",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "agent.base2",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "agent.base3",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "agent.ReplayBufferFast",
"lin... |
28914890968 | #! /usr/bin/env python3
# coding: utf-8
from __future__ import annotations
from unittest.mock import patch
from flask import testing
import pendulum
from psycopg2.extensions import connection
from gargbot_3000.health import queries
from gargbot_3000.health.polar import PolarService, PolarUser
from tests import conft... | eirki/gargbot_3000 | tests/health/test_polar.py | test_polar.py | py | 8,885 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "psycopg2.extensions.connection",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "gargbot_3000.health.polar.PolarService.persist_token",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "gargbot_3000.health.polar.PolarService",
"line_number": 2... |
36228288123 | from __future__ import print_function
from googleapiclient.discovery import build
from google.oauth2 import service_account
from dotenv import load_dotenv
import robin_stocks.robinhood as rs
import time
import os
load_dotenv()
SCOPES = ['https://www.googleapis.com/auth/spreadsheets']
SERVICE_ACCOUNT_FILE =... | leonidascaldwell/RobinhoodApp | CopyPositionsToGSheet.py | CopyPositionsToGSheet.py | py | 3,114 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "google.oauth2.service_account.Credentials.from_service_account_file",
"line_number": 15,
"usage_type": ... |
7722385195 | from __future__ import annotations
from typing import Final, Iterable
import math
import random
from itertools import islice
from pathlib import Path
from traceback import format_exc
# == PROBLEM ==
# Given a list of sequence statements, generate those sequences
# ======== SETTINGS ======== #
# Length of the seque... | Kodipher/utility-scripts | scripts/sequence_generator.py | sequence_generator.py | py | 5,456 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "typing.Final",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "typing.Final",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "typing.Final",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "typing.Final",
"line_numbe... |
38029894270 | import matplotlib.pyplot as plt;
import pandas as pd
import numpy as np
from sklearn import preprocessing
from sklearn.cluster import KMeans
from kneed import DataGenerator, KneeLocator
from sklearn.neighbors import KNeighborsRegressor
from sklearn.metrics import accuracy_score
from sklearn import metrics
from sklearn.... | AhmedSayedMansour/Machine-Learning-papers | NSL-KDD dataset/Dataset1-V2.py | Dataset1-V2.py | py | 22,429 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.normalize",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "sklea... |
21281276297 | # -*- coding: utf-8 -*-
"""
Spyder Editor
Este é um arquivo de script temporário.
"""
'''
Uma bola é lançada ao ar. Suponha que sua altura h(t), em metros, t segundos após o lançamento, seja:
h(t)=−t2+4t
a) Faça o gráfico da altura em função do tempo. Não se esqueça de indicar o significado de cada eix... | barbara-barbosa/Bases-computacionais | tarefa5barbara.py | tarefa5barbara.py | py | 834 | python | pt | code | 0 | github-code | 18 | [
{
"api_name": "numpy.arange",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "matplotlib.py... |
33959017648 | import json
dict_data={"name":"zhangsan","age":18}
str_data="this is a str"
# 序列化为json串
print(json.dumps(dict_data))
print(json.dumps(str_data))
# json串反序列化
loads = json.loads(json.dumps(dict_data))
print(loads)
def student2dict(std):
return {
'name': std.name,
'age': std.age,
}
class Stu(... | you071012/python | machinelearn/learn/base/json_demo.py | json_demo.py | py | 632 | python | zh | code | 0 | github-code | 18 | [
{
"api_name": "json.dumps",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 11,
... |
6215522416 | '''
Author: Nolan McCarthy
Contact: nolanrmccarthy@gmail.com
Version: 200312
This is a class definition and function definition file for parsing AE signals
as developed by the Daly Lab
'''
from scipy import signal
import numpy as np
import matplotlib.pyplot as plt
import pandas
from scipy.stats import linregress
na... | nolanlad/SAX | ae_measure2.py | ae_measure2.py | py | 5,789 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.isnan",
"line_numbe... |
5903719230 | #!/usr/bin/env python
# coding: utf-8
import sqlite3
import datetime
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
DB_NAME = "/home/pi/DB/sense_hat_weather.db"
#DB_NAME = "/home/nobuo/Workspese/raspi_sensor/sense_hat_weather.db"
TABLE_NAME = "temperature"
def get_db_data(start, end):
""" 指定した... | NobuoTsukamoto/raspi_sensor | amedas.py | amedas.py | py | 5,261 | python | ja | code | 0 | github-code | 18 | [
{
"api_name": "sqlite3.connect",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "matplotlib.dates.AutoDateLocator",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "matplotlib.dates",
"line_number": 62,
"usage_type": "name"
},
{
"api_name": "mat... |
17551642406 | from detect import load_img, convert_gray_img, nomalize_img, draw_rectangle, save_img
from typing import List
import numpy as np
import pytesseract
pytesseract.pytesseract.tesseract_cmd = r"/usr/bin/tesseract"
class Receipt():
def __init__(self):
print('OcrReceipt is generated')
sel... | MyRefrigerator/server | backup/ocr_backup.py | ocr_backup.py | py | 3,637 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pytesseract.pytesseract",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pytesseract.image_to_data",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "pytesseract.Output",
"line_number": 62,
"usage_type": "attribute"
},
{
"api... |
23736885759 | import pygame
from PyEvolv.assets.font import FONT
from PyEvolv.assets.icons import LOGO_PATH
import numpy as np
class StartingScreen:
def __init__(self, height, width, bg_color, primary_color, secondary_color):
self.height = height
self.width = width
self.bg_color = bg_color
self.... | peer-rh/PyEvolv | PyEvolv/screens/start_screen.py | start_screen.py | py | 3,659 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "PyEvolv.assets.font.FONT",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "pygame.Surface",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "pygame.MOUSEBUTTONDOWN",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name... |
8607198731 | #call this file to run the game
from board import Board
from utils import other_color
import argparse
#bots
from bots.randombot.randombot import *
from bots.bot_fouad import fouad_bot
from simpbot import simpbot
from bots.date_bot.date_bot import date_bot
from bots.odd_bot.odd_bot import odd_bot
from bots.forward_bot... | alrijleh/chess | game.py | game.py | py | 2,782 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "simpbot.simpbot",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "bots.bot_fouad.fouad_bot",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "bots.date_bot.date_bot.date_bot",
"line_number": 19,
"usage_type": "name"
},
{
"api_name... |
15703214215 | #!/usr/bin/env python3
import warnings
import tensorflow as tf
import matplotlib.pyplot as plt
from topo_defect_net import load_data
import os
import json
from topo_defect_net import interp_predict
import argparse
import matplotlib.style as style
style.use("fivethirtyeight")
os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3"
t... | brianfakhoury/Experimental-Defect-LSTM-With-Signal-Processing | analyze_model.py | analyze_model.py | py | 5,361 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "matplotlib.style.use",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.style",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "os.environ",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.comp... |
32499924079 | """transformer (attention).
encoder: [Self-Attention, Feed-forward] x n
decoder: [Self-Attention, Source-Target-Attention, Feed-forward] x n
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import copy
# Dependency imports
from six.moves import xrange ... | renqianluo/dense_t2t | transformer_dense_new.py | transformer_dense_new.py | py | 12,202 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tensor2tensor.utils.t2t_model.T2TModel",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "tensor2tensor.utils.t2t_model",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "copy.copy",
"line_number": 36,
"usage_type": "call"
},
{
... |
6208560695 |
import asyncio
from store import RedisStore
async def go():
store = RedisStore()
value = await store.get('x')
print(value)
await store.set('s', 123)
value = await store.get('s')
print(value)
def main():
"The main entrance"
loop = asyncio.get_event_loop()
try:
loop.run... | lcgong/alchemy | busiserv/cache/main.py | main.py | py | 564 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "store.RedisStore",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "store.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "store.set",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "store.get",
"line_number": 13,... |
25785226609 | from os import getenv
import spacy
import tweepy
from src.models import DB, User, Tweet
TWITTER_CONSUMER_KEY = getenv('TWITTER_CONSUMER_KEY')
TWITTER_CONSUMER_SECRET = getenv('TWITTER_CONSUMER_SECRET')
TWITTER_ACCESS_TOKEN = getenv('TWITTER_ACCESS_TOKEN')
TWITTER_ACCESS_TOKEN_SECRET = getenv('TWITTER_ACCES... | alex000kim/twitoff-app | src/twitter.py | twitter.py | py | 2,062 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.getenv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 11,
"u... |
13340678846 | from distutils import dist
from turtle import color
import numpy as np
import matplotlib.pyplot as plt
path1 = "/home/adi99/Documents/DRDO-project/milestone-2/Data/Overtake/data/overtake-10-obstacle-default.txt"
path2 = "/home/adi99/Documents/DRDO-project/milestone-2/Data/Overtake/data/overtake-10-obstacle-default.txt... | ADI201998/MPC_Acado | plot_obs.py | plot_obs.py | py | 1,507 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.loadtxt",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.vstack",
"line_nu... |
71470917481 | import io
import os
# Imports the Google Cloud client library
from google.cloud import vision
# Instantiates a client
client = vision.ImageAnnotatorClient()
# The name of the image file to annotate
file_name = os.path.abspath('wakeupcat.jpg')
# Loads the image into memory
with io.open(file_name, 'rb') as image_file... | dkick/imgscan | py/django/imgscan/tests/imgscan.py | imgscan.py | py | 807 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "google.cloud.vision.ImageAnnotatorClient",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "google.cloud.vision",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "os.path.abspath",
"line_number": 11,
"usage_type": "call"
},
{
"api_na... |
36449053732 | """
words = ["wrt","wrf","er","ett","rftt"]
w =>r =>t
w =>r =>f
e =>r
e =>t =>t
r =>f =>t =>t
w e r
r r t f
t f ... | ajinkyaaa/Leetcode_DSA | Tests/alienDic.py | alienDic.py | py | 2,167 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.defaultdict",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 61,
"usage_type": "call"
}
] |
39728742249 | import json
import pygal
from country_code import get_country_code
from pygal.style import CleanStyle as RBS
# Список заполяется данными
filename = '.\\data\\gdp_json.json'
with open(filename) as f:
gdp_data = json.load(f)
# Построение словаря с данными численности населения
cc_gdps = {}
for gdp_dict in gdp_data... | nag78/Python_learn | python_work/world_gdp.py | world_gdp.py | py | 746 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "json.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "country_code.get_country_code",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pygal.style.CleanStyle",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pygal.... |
25332532062 | # code loaned from https://scikit-learn.org/stable/auto_examples/model_selection/plot_roc_crossval.html
from scipy import interp
from sklearn.metrics import roc_curve, auc
from sklearn.model_selection import StratifiedKFold
from tqdm import tqdm_notebook as tqdm
import numpy as np
from matplotlib import pyplot as plt
... | novinsh/signaling_heroes | utils/roc_auc.py | roc_auc.py | py | 1,868 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "sklearn.model_selection.StratifiedKFold",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm_notebook",
"line_number": 18,
"usage_type": "call"
},
{
"api_nam... |
73519594601 | from bs4 import BeautifulSoup
def get_text_of_html(doc):
"""
This function is for extracting text content from an HTML string.
Input: HTML style string.
Output: Extracted text content string.
"""
soup = BeautifulSoup(doc, features='lxml')
for script in soup(['script', 'style']):
... | coooola-lzh/similarity-search | original_data_doc2vec/get_text_of_html.py | get_text_of_html.py | py | 528 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "bs4.BeautifulSoup",
"line_number": 10,
"usage_type": "call"
}
] |
33506086303 | # -*- coding: utf-8 -*-
"""
Created on Wed Aug 16 12:54:18 2023
@author: 91913
"""
from pytube import YouTube
url = "https://youtu.be/FQTQD3WHlCk?t=1"
sample_video = YouTube(url)
print("Video title:", sample_video.title)
print("Thumbnail URL:", sample_video.thumbnail_url)
video_stream = sample_video.streams.get_hi... | Pki03/youtube_video_downloader | prjt2_ytube_downlaoader.py | prjt2_ytube_downlaoader.py | py | 522 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pytube.YouTube",
"line_number": 11,
"usage_type": "call"
}
] |
19727855023 | #Instructions below
import psycopg2
from psycopg2 import OperationalError
from psycopg2.errorcodes import UNIQUE_VIOLATION
from psycopg2 import errors
from dotenv import dotenv_values
#load env vars (like db name, user etc.. for program)
def get_env_db_info_dict():
config = dotenv_values(".env")
return confi... | Evyatar-Kraus/DI_Bootcamp | week_6/day_5/ex_py.py | ex_py.py | py | 5,899 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "dotenv.dotenv_values",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "psycopg2.connect",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "psycopg2.OperationalError",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "psyco... |
74658862121 | from rest_framework import viewsets
from rest_framework.views import APIView
from rest_framework.response import Response
from backend.recordmanagement import models, serializers
from backend.static import error_codes
from backend.api.errors import CustomError
class RecordDocumentTagViewSet(viewsets.ModelViewSet):
... | jehob/rlc_app | backend/recordmanagement/views/record_document_tag.py | record_document_tag.py | py | 1,653 | python | en | code | 7 | github-code | 18 | [
{
"api_name": "rest_framework.viewsets.ModelViewSet",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.viewsets",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "backend.recordmanagement.models.RecordDocumentTag.objects.all",
"line_numbe... |
23872806084 | from flask import current_app
from travelbudget.database import db_session
from travelbudget.models import Account, Expense, MoneyExchange, Trip
from travelbudget.utilities import summary
import flask
import datetime
DAILY_CURRENCY_ID = 1
CASH_ACCOUNT_ID = 1
CASH_CATEGORY_ID = 4
USER_ID = 1
exchanges_bp = flask.Bluepr... | nateoaks/travelbudget | src/travelbudget/exchanges.py | exchanges.py | py | 3,422 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Blueprint",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "travelbudget.models.MoneyExchange.query.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "travelbudget.models.MoneyExchange.query",
"line_number": 18,
"usage_type": "a... |
22248180583 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Feb 5 14:18:24 2018
@author: ninabg
"""
import numpy as np
import sympy as sy
import time
import pickle
import matplotlib.pyplot as plt
from vitber1_analytiskF import analytical_solution
from vitber1_funksjoner import chebyshev,Lagrange,rho,K,Newton_... | Camilbk/Blomsterbarna | vitber1_oppg5.py | vitber1_oppg5.py | py | 1,963 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.pi",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "numpy.arange",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.polynomial.legendre.leggauss",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.p... |
13669033691 | from telebot.types import InlineKeyboardMarkup, InlineKeyboardButton
from flows.callbacks import Callbacks
from flows.main_menu import main_menu
from models.User import User
from planfix.planfix import create_payment_media_task
user_dict = {}
bot_dict = {}
first_message = "Готовы ли оплатить правовую консультацию? (о... | AntonyHatchet/tg-bot | flows/other/other_media.py | other_media.py | py | 3,220 | python | ru | code | 0 | github-code | 18 | [
{
"api_name": "telebot.types.InlineKeyboardMarkup",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "telebot.types.InlineKeyboardButton",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "flows.callbacks.Callbacks.other_media_yes",
"line_number": 21,
"usa... |
9170608389 | from datetime import datetime
from flask import Flask, jsonify
from flask_cors import CORS
app = Flask(__name__)
CORS(app)
@app.route('/msg', methods=['GET'])
def message():
response = jsonify({
'message': 'hello',
'time': datetime.now().strftime('%Y/%m/%d %H:%M:%S')
})
return response
if... | wararaki718/scrapbox | sample_js/sample_react_axios/sample_server/sample.py | sample.py | py | 367 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"... |
13037819642 | import os
import pickle
import sys
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
sys.path.append(BASE_DIR)
import numpy as np
import pandas as pd
from scipy import stats
from sklearn.cluster import KMeans as _KMeans
from sklearn.preprocessing import StandardScaler, MinMaxScaler
from Abstract... | yizhaocs/python-jupyter-notebook | auto-turning-clustering/GMeans.py | GMeans.py | py | 6,625 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.dirname",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line... |
5144638889 | from django import forms
from core.models import STANDARD_CHAR_SIZE, ToDo, CHOICES
class ToDoForm(forms.ModelForm):
title = forms.CharField(
max_length=STANDARD_CHAR_SIZE,
required=False,
widget=forms.TextInput(attrs={
'class': 'form-control', 'name': 'title',
'pla... | gauravdaunde/whattodo | core/forms.py | forms.py | py | 741 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.forms.CharField",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.f... |
22324662734 | import sys
import os
sys.path.append(os.getcwd())
import threading
import time
import glob
import numpy as np
from utils.file_io import *
from argparse import ArgumentParser
import speechmetrics as sm
MAX_THREAD = 3
root = os.getcwd()
MUSDB_TEST = "data/musdb18hq/test"
def sdr(references, estimates):
# compute S... | haoheliu/2021-ISMIR-MSS-Challenge-CWS-PResUNet | evaluator/eval.py | eval.py | py | 5,653 | python | en | code | 110 | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 1... |
35837380013 | #coding=utf-8
import configparser
def write_ini(path='config.ini', node='proxy', child='proxy', content=None):
"""写入ini文件"""
config=configparser.ConfigParser()
config.read(path, encoding='utf-8')
try:
# config.add_section("session") #增加节点
config.set(node, child, content)
except con... | mjwlyzq/search_train | read_write_ini.py | read_write_ini.py | py | 893 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "configparser.DuplicateSectionError",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "configparser.ConfigParser",
"line_number": 20,
"usage_type": "call"
},... |
41363780745 | # coding:utf-8
# 第38课 数据库 日志系统
import peewee
from peewee import *
db = SqliteDatabase("test.db")
class Price(peewee.Model):
timestamp = peewee.DateTimeField(primary_key = True)
BTCUSD = peewee.FloatField()
class Meta:
database = db
def test_peewee():
Price.create_table()
price = Price(timestamp = "... | zwdnet/PythonPractice | Investment/database.py | database.py | py | 441 | python | en | code | 439 | github-code | 18 | [
{
"api_name": "peewee.Model",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "peewee.DateTimeField",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "peewee.FloatField",
"line_number": 14,
"usage_type": "call"
}
] |
70805881639 | import streamlit as st
from apps import home,employee, equipment, payroll, projects, expanceReport, consumable, projectviewer, search, rtc
from streamlit_option_menu import option_menu
import otsDBConnector as otdb
menu=["Home","Project Dashboard","Project Management","Employee database","Equipment database","Con... | deepayannandy/OTProject | mainApp.py | mainApp.py | py | 1,887 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "streamlit.sidebar",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "streamlit_option_menu.option_menu",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "streamlit.markdown",
"line_number": 35,
"usage_type": "call"
},
{
"api_n... |
17941487895 | import os
# import bot.database as database
from datetime import datetime
from dotenv import load_dotenv
from discord.utils import find
from discord.ext import commands
from bot.cogs.quotes import Quote
from discord.ext.commands.errors import CommandNotFound, MissingRequiredArgument
load_dotenv()
TIME_NOW = datetime... | JoaoMWatson/pensa-bot | bot/PensaBot.py | PensaBot.py | py | 2,280 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "os.getenv"... |
75107784360 | import time
import datetime
import math
from django.core.management import BaseCommand
from django.db import transaction
from django.db.models import Q
from chemical.models import *
from decodify.helpers import remaining_time
class Command(BaseCommand):
help = "Add chemical category - files natural.txt, popular... | EugeneBilenko/partial | chemical/management/commands/MassAssignCategory.py | MassAssignCategory.py | py | 1,402 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.core.management.BaseCommand",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "django.db.transaction.atomic",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "django.db.transaction",
"line_number": 29,
"usage_type": "name"
},
{
... |
73881734120 | import json, re
from django.views.decorators.debug import sensitive_post_parameters
from django.utils.decorators import method_decorator
from django.db import transaction
from django.db import models
from django.conf import settings
from django.http import HttpResponse, JsonResponse
from django.contrib.auth import get_... | AlimardanAhmadov/agatos | employee/views.py | views.py | py | 14,001 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.utils.decorators.method_decorator",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "django.views.decorators.debug.sensitive_post_parameters",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.get_user_model",
"line_n... |
43187918070 | import json
from flask import make_response, request
from flask_restx import Namespace, Resource
from cnaas_nms.api.generic import empty_result
from cnaas_nms.app_settings import api_settings
from cnaas_nms.db.device import Device, DeviceType
from cnaas_nms.db.helper import json_dumper
from cnaas_nms.db.session impor... | SUNET/cnaas-nms | src/cnaas_nms/api/settings.py | settings.py | py | 3,212 | python | en | code | 66 | github-code | 18 | [
{
"api_name": "cnaas_nms.db.settings.get_settings_root",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "flask_restx.Namespace",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "cnaas_nms.version.__api_version__",
"line_number": 19,
"usage_type": "argum... |
6412901088 | from os import get_inheritable
from django.shortcuts import render
from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework import status
import requests
import json
# Create your views here.
class All_Issues(APIView):
def get(self,request,repo, repo_name):
... | mabhutidlodlo/Bitcast | github_issues/views.py | views.py | py | 1,388 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "rest_framework.views.APIView",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "rest_framework.r... |
9981288385 | # -*- coding: utf-8 -*-
from collections import OrderedDict
class LRU_Cache(object):
def __init__(self, capacity):
# Initialize class variables
self.capacity = capacity
self.cache = OrderedDict()
assert capacity > 0, 'Size should be greater than 0'
def get(s... | akarr24/Udacity-Data-Strucutres-and-Algorithms- | Project 2/problem_1.py | problem_1.py | py | 2,241 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.OrderedDict",
"line_number": 8,
"usage_type": "call"
}
] |
41910614700 | import logging
from django.core.management.base import BaseCommand
from public_data.models import CouvertureSol, UsageSol
logging.basicConfig(level=logging.INFO)
class Command(BaseCommand):
help = "This will reevaluate parent fields of all instances of Couverture and Usage"
def handle(self, *args, **optio... | MTES-MCT/sparte | public_data/management/commands/set_parent.py | set_parent.py | py | 625 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "logging.basicConfig",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 10,
"usage_type": "name"
},
{
"api_n... |
24305355472 | from controllers.create_app_route import app_route
from flask import request, jsonify
from flask_jwt_extended import jwt_required, get_jwt_identity
from helper import current_user
from models import Department, Employee
from models.database import db
import flask
import sqlalchemy.exc
@app_route.route('/emp... | ska034/first_api_project | controllers/employee/delete_employee.py | delete_employee.py | py | 1,343 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask_jwt_extended.get_jwt_identity",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.request.get_json",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.request",
"line_number": 15,
"usage_type": "name"
},
{
"api_name... |
3317940427 | # -*- coding: utf-8 -*-
"""
Created on Tue Mar 27 18:22:43 2018
@author: PavitrakumarPC
"""
import keras
import numpy as np
import cv2
import os
import pandas as pd
import matplotlib.pyplot as plt
from keras.layers import Conv2D, Dense, Input, Dropout, Flatten, Activation, MaxPooling2D, AveragePooling2D,... | pavitrakumar78/Street-View-House-Numbers-SVHN-Detection-and-Classification-using-CNN | train_digit_classification.py | train_digit_classification.py | py | 9,055 | python | en | code | 59 | github-code | 18 | [
{
"api_name": "keras.backend.set_image_dim_ordering",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "keras.backend",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "numpy.array_split",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "... |
39024524465 | import torch
from torch import nn
import numpy as np
import torchvision
class ResNetEmo(nn.Module):
def __init__(self, num_classes=8, version=18):
super().__init__()
if version == 18:
resnet = torchvision.models.resnet18(pretrained=True)
modules = list(resnet.children())[:... | HKUST-NISL/ABAW5 | models/res.py | res.py | py | 924 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torchvision.models.resnet18",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torchvision.m... |
17460276486 | from aiogram import F, types, Bot
from aiogram.dispatcher.fsm.context import FSMContext
from aiogram.types import Message
from config import CONFIG
from crud import CRUDUsers, CRUDBots, CRUDChats
from keyboards.inline.users.formMain import MyCallback
from loader import dp
from states.users.mainState import UserStates
... | Vladvlad9/FeedbackBot | handlers/users/FormMain.py | FormMain.py | py | 10,389 | python | ru | code | 0 | github-code | 18 | [
{
"api_name": "aiogram.types.CallbackQuery",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "aiogram.types",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "keyboards.inline.users.formMain.MyCallback",
"line_number": 13,
"usage_type": "name"
},
... |
6218922577 | import io
import json
import xlrd
from common.exceptions import ValidationError
from common.log import logger
from conf import dataapi_settings
from django.utils.translation import ugettext as _
from django.utils.translation import ugettext_noop
from openpyxl import load_workbook
from ...collectors.utils.language imp... | Tencent/bk-base | src/api/datahub/access/collectors/file_collector/access.py | access.py | py | 7,460 | python | en | code | 85 | github-code | 18 | [
{
"api_name": "base_collector.BaseAccess",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "serializers.FileResourceSerializer",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "base_collector.BaseAccessTask.create",
"line_number": 39,
"usage_type": "cal... |
73920646759 | from django.http import Http404
from django.utils.translation import gettext_lazy as _
from django.views.generic import DetailView, ListView
from videos.models import Playlist, Video
class BaseDetailView(DetailView):
model = Video
queryset = Video.objects.all()
context_object_name = 'video'
pk_url_kwa... | Zadigo/myyoutube | videos/_views/feed.py | feed.py | py | 2,615 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "django.views.generic.DetailView",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "videos.models.Video",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "videos.models.Video.objects.all",
"line_number": 9,
"usage_type": "call"
},
{
"... |
5881846751 | import requests
def get_weather_desc_and_temp():
api_key = "f37a6547370d6887a661561d1d126c5d"
city = "Orlando"
url = "http://api.openweathermap.org/data/2.5/weather?q="+city+"&appid="+api_key+"&units=imperial"
request = requests.get(url)
json = requests.json()
print(json)
description = j... | jaredg-ai/pratical-python | open_weather.py | open_weather.py | py | 1,133 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "requests.json",
"line_number": 9,
"usage_type": "call"
}
] |
214490186 | import numpy as np
import xarray as xr
import matplotlib.pylab as plt
import yaml
from os.path import join
import os
from glob import glob
import platform
import pandas as pd
def get_config():
with open("config.yml", 'r') as stream:
base_url = yaml.load(stream)
return base_url
def seasonal_ds(fname,... | OSI-SAF-tools/validations_gridded | postprocess/aggregate.py | aggregate.py | py | 2,365 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "yaml.load",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.ExcelWriter",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "pandas.Series",
"li... |
40096744841 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Jun 6 14:54:32 2019
@author: smrak
"""
import satio
import plot1d
import plot2d
import numpy as np
from datetime import datetime
import matplotlib.pyplot as plt
fn = '/home/smrak/Documents/LWS2019/28may17/swarm/SW_EXTD_EFIA_LP_HM_20170528T000000_2017... | aldebaran1/satutils | swarm_cdf.py | swarm_cdf.py | py | 944 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "datetime.datetime",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "satio.readSWARMcdf",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "satio.hpf",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.int64",
"lin... |
15028156099 | from django.shortcuts import render, redirect, get_object_or_404
from bootcamp.feeds.views import feeds
from django.contrib.auth.models import User
from bootcamp.feeds.models import Feed
from bootcamp.feeds.views import FEEDS_NUM_PAGES
from django.core.paginator import Paginator
from django.contrib.auth.decorators impo... | oussa/bootcamp-ihealth | bootcamp/ihealth/views.py | views.py | py | 5,241 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "bootcamp.feeds.views.feeds",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 74,
"usage_type": "call"
},
{
"api_na... |
39492102854 | import urllib, json, pymongo, os
from dateutil.parser import parse
DIVVY_URL = "http://divvybikes.com/stations/json"
def query():
raw_str = urllib.urlopen(DIVVY_URL).read()
data = json.loads(raw_str)
client = pymongo.connection.Connection()
client['divvy']['hits'].save(data)
log_me(parse(data['exe... | gabegaster/divvy_scraper | divvy_scraper.py | divvy_scraper.py | py | 541 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "urllib.urlopen",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pymongo.connection.Connection",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pymongo.connecti... |
38583638743 | import cv2 as cv;
# Resizing function
def rescaleFrame(frame, scale):
#Images, Videos and Live Video
width = int(frame.shape[1] * scale);
height = int(frame.shape[0] * scale);
dimensions = (width, height);
return cv.resize(frame, dimensions, interpolation = cv.INTER_AREA);
def changeRes(width, ... | rajibhasan01/image_processing | rescale.py | rescale.py | py | 989 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "cv2.resize",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.INTER_AREA",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "cv2.imread",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_numb... |
75424638440 | import numpy as np
import cv2
def makecounter(path):
# カーネルを定義
kernel = np.ones((5,5), np.uint8)
kernel[0,0] = kernel[0,4] = kernel[4,0] = kernel[4,4] = 0
# gray = cv2.imread(path, cv2MREAD_GRAYSCALE)
img = cv2.imread(path, cv2.IMREAD_UNCHANGED)
# if img.shape[2] == 4:
# mask = img[:,:,3] == 0
# i... | Tsr-rina/tryon_app_c | src/django_app/senga.py | senga.py | py | 816 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.ones",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "cv2.imread",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.IMREAD_UNCHANGED",
"line... |
14665993424 | from flask import Flask, render_template, request
import csv
app = Flask(__name__)
@app.route('/')
def home_page():
return render_template('index.html')
def write_csv(data):
with open('email-database.csv', mode='a', newline='') as database:
email = data["email"]
csv_writer = csv.writer(data... | gandhirutul/teaser-website | main.py | main.py | py | 660 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "csv.QUOTE_MINIMAL",
"l... |
14098021439 | import sqlite3
import werkzeug
from flask import Flask, request, Response, render_template
from jinja2 import Environment, PackageLoader
from markupsafe import escape
from flask import make_response
from flask import session
from flask import Flask, redirect
# a if condition else b
from models.form import LoginForm... | stoull/Vault | app.py | app.py | py | 14,057 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "jinja2.Environment",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "jinja2.PackageLoader",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "models.authorizat... |
34786666184 | import asyncio
from logging.config import fileConfig
from sqlalchemy import engine_from_config, pool
from sqlalchemy.ext.asyncio import AsyncEngine
from alembic import context
from app import models
from app.settings import settings
def get_database_url() -> str:
return settings.sqlalchemy_database_url
config... | hutanmihai/FMI | Anul II/Semestrul II/MDS/ProiectMDS/calorie-tracker-backend/alembic/env.py | env.py | py | 1,646 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "app.settings.settings.sqlalchemy_database_url",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "app.settings.settings",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "alembic.context.config",
"line_number": 16,
"usage_type": "attri... |
71682617960 | import socket
import requests
import tkinter as tk
from tkinter import ttk
from concurrent.futures import ThreadPoolExecutor
import threading
def check_port(port):
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.settimeout(1)
try:
s.connect(('localhost', port))
s.close()... | TheMime3/Tools-and-Programs | Port Scanner.py | Port Scanner.py | py | 4,402 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "socket.socket",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_STREAM",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "socket.error",... |
988997678 | import pyaudio
import wave
CHUNK = 1024
FORMAT = pyaudio.paInt16
CHANNELS = 1
RATE = 16000
RECORD_SECONDS = 2
WAVE_OUTPUT_FILENAME = "Oldboy.wav"
p = pyaudio.PyAudio()
stream = p.open(format=FORMAT,
channels=CHANNELS,
rate=RATE,
input=True,
... | 116Gegui/Demon | audio.py | audio.py | py | 5,209 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pyaudio.paInt16",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "pyaudio.PyAudio",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "wave.open",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_... |
8379081275 | from django.shortcuts import render, get_object_or_404
from django.contrib import messages
from django.http import HttpResponseRedirect
from django.core.urlresolvers import reverse
from django.core.exceptions import ObjectDoesNotExist
from apps.tracker.forms import TrackerForm, RecordForm
from .models import Tracker
fr... | manerMoniar/EyeTracking_AS | eyetracking/apps/tracker/views.py | views.py | py | 2,476 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.shortcuts.render",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "apps.tracker.forms.TrackerForm",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.contrib.messages.success",
"line_number": 23,
"usage_type": "call"
},
{... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.