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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2819034093 | # py -m pip install pygame
# py -m pip install pywin32
import pygame, sys, random
import win32api
import win32con
import win32gui
def hide_console():
window = win32gui.GetForegroundWindow()
win32gui.ShowWindow(window, win32con.SW_HIDE)
if __name__ == "__main__":
hide_console()
pygame.init()
c... | SicerBrito/Scripts | Etica/bb/ssss.py | ssss.py | py | 1,028 | python | es | code | 13 | github-code | 1 | [
{
"api_name": "win32gui.GetForegroundWindow",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "win32gui.ShowWindow",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "win32con.SW_HIDE",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name":... |
35947567604 | # -*- coding: utf-8 -*-
import os
import csv
import matplotlib.pyplot as plt
"""
This script is for plotting each data (force/RMSE & TC(300K) diff from 112.1)
with classified color by normalized distance
"""
if __name__ == '__main__':
root=os.getcwd()
tdata=["40"]
node=["50","100","200","300","500"]
... | s-okugawa/HDNNP-tools | tools/Lmps-MD/plotRMSETCdata-d20L.py | plotRMSETCdata-d20L.py | py | 2,726 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.getcwd",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
... |
165943487 | # Read the introduction about garden path sentences and study a few of the examples on Wikipedia.
# Create a new Python file called garden.py.
# Find at least 2 garden path sentences from the web or create them.
# Store the sentences you have identified or created in a list called gardenpathSentences
# Add the followin... | marianklo/natural_language_processing | garden.py | garden.py | py | 2,916 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "spacy.load",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "spacy.explain",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "spacy.explain",
"line_number": 55,
"usage_type": "call"
}
] |
29695897405 | import scrapy
from imdbtutorial.items import MovieItem, CastItem
class ImdbSpider(scrapy.Spider):
name = "imdb"
allowed_domains = ["imdb.com"]
base_url = "https://imdb.com"
start_urls = ['https://www.imdb.com/chart/top' ,]
def parse(self, response):
# table coloums of all the movies
... | SIDDHANT9281/ImdbsCraper | imdbtutorial/imdbtutorial/spiders/imdb_spider.py | imdb_spider.py | py | 2,013 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "scrapy.Spider",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "scrapy.Request",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "imdbtutorial.items.MovieItem",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "imdbtut... |
71187679394 | from functools import lru_cache
from typing import List, Dict
import csv
@lru_cache
def read(path: str) -> List[Dict]:
try:
with open(path, encoding="utf-8") as file:
fields, *jobs = csv.reader(file, delimiter=",", quotechar='"')
list_jobs = [dict(zip(fields, job)) for job in jobs]... | FP-Coding/project-job-insights | src/insights/jobs.py | jobs.py | py | 749 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "csv.reader",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "functools.lru_cache",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_numb... |
74390609314 | import numpy as np
import torch
from torch import nn
from torch.utils import data
# 生成数据集
def synthetic_data(w, b, num_examples):
"""生成 y = Xw + b + 噪声。"""
X = torch.normal(0, 1, (num_examples, len(w)))
y = torch.matmul(X, w) + b
y += torch.normal(0, 0.01, y.shape)
return X, y.reshape((-1, 1))
i... | hello2mao/Learn-MachineLearning | DeepLearning/DiveIntoDeepLearning/3.LinearNetwork/3.3.LinearRegressionConcise.py | 3.3.LinearRegressionConcise.py | py | 1,623 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "torch.normal",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.matmul",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.normal",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.tensor",
"line_numbe... |
21382837069 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
Created on: 2021/06/28 17:51
@Author: Merc2
'''
import numpy as np
from pathlib import Path
import openml
import torch
from torch.utils.data import Dataset
class OPML(Dataset):
def __init__(self, task=None, cv=0, train=True):# volkert
# _, self.CV_NUM, _ ... | mhh0318/KDRVFL | data/opml.py | opml.py | py | 1,110 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "torch.tensor",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.isnan",
"line_number": 21,
"usage_type": "call"
}
] |
71747047394 | import urllib.request
from django.http import response
from django.http.response import HttpResponse
from django.shortcuts import render
from accounts.models import Order, Customer
from humanitary_gift_shop.utils import checkout_session, random_string_generator, cookieCart
from django.views.decorators.csrf import csrf_... | Code-Institute-Submissions/humanitary | checkout/views.py | views.py | py | 2,101 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.environ.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "stripe.api_key",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "accounts.models.Or... |
12984950288 | #!/usr/bin/env python
import logging
from urllib.parse import urljoin
from atomic_utils import (
PYCON_TW_ROOT_URL,
query_text,
parse_out_href_gen,
is_relative_href,
is_visited_or_mark,
)
# https://docs.python.org/3.6/library/logging.html#logrecord-attributes
logging.basicConfig(
format=(
... | moskytw/elegant-concurrency-lab | channel_operators.py | channel_operators.py | py | 2,366 | python | en | code | 43 | github-code | 1 | [
{
"api_name": "logging.basicConfig",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "atomic_utils... |
38256631414 | import cv2
import face_recognition
from django.conf import settings
from .faceRecognition import findEncodings
import os, numpy as np
from .attendance import mark_attendance, get_Remarks
from .models import Schedule
import time
class VideoCamera(object):
t = Schedule.objects.get(is_active=True)
def __init__(se... | coder-val/AMSFR | amsfr/employees/camera.py | camera.py | py | 3,616 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "models.Schedule.objects.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "models.Schedule.objects",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "models.Schedule",
"line_number": 11,
"usage_type": "name"
},
{
"api_name... |
29389482192 | from flask import Flask
from flask import render_template, request, make_response, redirect, url_for
import requests
import random
import json
app = Flask(__name__)
@app.route("/")
def hello_world():
#retun 'hello' + home
return "<p>Hello, App!</p>"
@app.route('/home', methods=['GET'])
def getTicTacToe():
... | nkitanand/tictactoe_FrontEnd | app.py | app.py | py | 4,499 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.make_response",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "json.dumps",
... |
13330534487 | from collections import deque
class Solution:
def minJumps(self, arr: List[int]) -> int:
N = len(arr)
common_vals = defaultdict(list)
for idx, val in enumerate(arr):
common_vals[val].append(idx)
q = deque([N - 1])
min_jumps = {N - 1: 0}
... | edorado93/leetadaykeepsrustaway | January-Challenge-2022/[Day-15] Jump Game IV/bfs_dp_solution.py | bfs_dp_solution.py | py | 1,123 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "collections.deque",
"line_number": 11,
"usage_type": "call"
}
] |
39840653963 | import argparse
import sys
from constants import (
IMPL_DEP_FILE_STR,
OUTPUT_FILE_STR,
)
from parser import Parser
def main():
arg_parser = argparse.ArgumentParser(
description="Control module for tracking implicit dependencies"
)
arg_parser.add_argument(
"-f", "--file", default=IM... | illumos/illumos-gate | usr/src/tools/smatch/src/smatch_scripts/implicit_dependencies/main.py | main.py | py | 1,051 | python | en | code | 1,466 | github-code | 1 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "constants.IMPL_DEP_FILE_STR",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "constants.OUTPUT_FILE_STR",
"line_number": 19,
"usage_type": "name"
},
{
"api... |
15959651810 | from flask_app.config.mysqlconnection import connectToMySQL
from flask_app import app
from flask_app.models.user import User
from flask import flash, session
DB = "coding_dojo_wall"
class Post:
def __init__( self , data ):
self.id = data['id']
self.user_id = data['user_id']
self.content = da... | tndodge/Python | coding_dojo_wall/flask_app/models/post.py | post.py | py | 3,205 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask_app.config.mysqlconnection.connectToMySQL",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "flask_app.config.mysqlconnection.connectToMySQL",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "flask_app.models.user.User",
"line_number": 4... |
279625670 | from PIL import Image, ImageDraw
from .hilbert import HilbertContext, hilbert_sequence
COLOR_WHITE = (255, 255, 255)
COLOR_BLACK = (0, 0, 0)
COLOR_RED = (255, 0, 0)
COLOR_GREEN = (0, 255, 0)
COLOR_BLUE = (0, 0, 255)
def draw_grid(image_draw, grid_size, square_size):
for x in range(0, grid_size, square_size):
... | jtremesay/hilbert | hilbert/drawing.py | drawing.py | py | 1,497 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "PIL.Image.new",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "hilbert.HilbertContext",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "PIL.ImageDraw.Draw",
... |
19546605494 | import json
import requests
from loguru import logger
from wb.services.tools import get_date
class JWTApiClient:
"""Get Marketplace Statistics."""
def __init__(self, new_api_key: str):
self.token = new_api_key
self.base = "https://suppliers-api.wildberries.ru/public/api/"
def build_hea... | prog1ckg/wildberries-rest-api | wb/services/rest_client/jwt_client.py | jwt_client.py | py | 3,451 | python | en | code | null | github-code | 1 | [
{
"api_name": "requests.post",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "loguru.logger.info",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "loguru.logger",
"line... |
21646634617 |
import numpy as np
import joblib
from nltk.tokenize import RegexpTokenizer
import tldextract
import pandas as pd
from urllib.parse import urlparse
from typing import *
# predict
def predict(url):
def parse_url(url: str) -> Optional[Dict[str, str]]:
try:
no_scheme = not u... | skiraz/cloud_project | predictor.py | predictor.py | py | 2,848 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "urllib.parse.urlparse",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "urllib.parse.urlparse",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "tldextra... |
74917146594 | __author__ = "Domen Gorjup"
import os
import glob
import cv2
import time
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from tqdm import tqdm, tqdm_notebook
import tools
# IZBIRA SLIK IN NAČINA REKONSTRUKCIJE ###############################################################
p... | domengorjup/pySfM | SfM_test_run.py | SfM_test_run.py | py | 4,597 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.path.dirname",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_n... |
10712107494 | import numpy as np
import matplotlib.pyplot as plt
#extract values
Jacobi1_10n,Jacobi2_10n,Jacobi3_10n,analytic1_10n,analytic2_10n,analytic3_10n = np.loadtxt("solution_10n.txt", usecols=(0,1,2,3,4,5), unpack=True)
Jacobi1_100n,Jacobi2_100n,Jacobi3_100n,analytic1_100n,analytic2_100n,analytic3_100n = np.loadtxt("so... | raggsokker/fys3150 | project2/solution.py | solution.py | py | 2,800 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.loadtxt",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.concatenate",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.concatenate",
"l... |
4516356754 | import PIL.ImageDraw as ImageDraw
import PIL.Image as Image
import numpy as np
import random
WIDTH = 800
HEIGHT = int(3 * WIDTH / 4)
image = Image.new("RGB", (WIDTH, HEIGHT))
draw = ImageDraw.Draw(image)
# Attempt to use 2nd image to draw just the boundary by following orbit of boundary point
image_2 =... | stschaef/LoG_M | Cones.py | Cones.py | py | 4,617 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "PIL.Image.new",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "PIL.ImageDraw.Draw",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "PIL.ImageDraw",
"line_... |
73263358115 | import firebase_admin
from firebase_admin import credentials
from firebase_admin import db
cred = credentials.Certificate("serviceAccountKey.json")
firebase_admin.initialize_app(cred,{
"databaseURL" :"https://face-recognition-attenda-5a0b4-default-rtdb.firebaseio.com/"
}
)
ref = db.r... | pingDiablo/attendance-system | AddDataToDataBase.py | AddDataToDataBase.py | py | 2,139 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "firebase_admin.credentials.Certificate",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "firebase_admin.credentials",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "firebase_admin.initialize_app",
"line_number": 5,
"usage_type": "call"
... |
8428176367 | """
This script uses the classes implemented in make_tables.py to create the tables
used in PISAM simulations. The data loaded to make the tables are in the form
of fit parameters or data points for reactions rates and cross sections. The data is
stored in the directory "Collision data for tables". I you add a reaction... | kristofferkvist/PISAM-HESEL | PISAM/make_tables_main.py | make_tables_main.py | py | 7,111 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.path.exists",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_nu... |
21334524678 | import tweepy
from tweepy import OAuthHandler
from tweepy import Stream
import sys
consumer_key= 'hi' # Don't have these in the final
consumer_secret= 'hi'# Don't have these in the final
access_token= 'hi'# Don't have these in the final
access_token_secret= 'hi'
authorization = tweepy.OAuthHandler(consumer_key, consu... | amcurley/ContentGen-heroku | gpt/src/cursor.py | cursor.py | py | 837 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "tweepy.OAuthHandler",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tweepy.API",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "tweepy.Cursor",
"line_number": 18,
"usage_type": "call"
}
] |
72430038754 | """Index view."""
from django.conf import settings
from django.contrib.auth.decorators import login_required
from django.core.paginator import Paginator
from django.shortcuts import redirect, render
from later42.models.article import Article
from later42.models.urls import URL
def get(request):
"""Index view."""... | dntsk/later42 | later42/views/index.py | index.py | py | 1,503 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "later42.models.urls.URL.objects.filter",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "later42.models.urls.URL.objects",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "later42.models.urls.URL",
"line_number": 15,
"usage_type": "n... |
11807230528 | import threading
import time
from functools import partial
from queue import Empty
import msgpack
import zmq
import infupy.backends.fresenius as fresenius
zmqhost = '127.0.0.1'
zmqport = 4201
freseniusport = 'COM6'
def stateWorker(stopevent):
context = zmq.Context()
zmqsocket = context.socket(zmq.PUB)
z... | jaj42/phystream | python/FresStream.py | FresStream.py | py | 2,719 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "zmq.Context",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "zmq.PUB",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "infupy.backends.fresenius.FreseniusComm",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "infu... |
42370577435 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Nov 8 00:38:09 2023
@author: guangdafei
"""
import tushare as ts
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif'] = ['SimHei']
token = "13bb0841c8a377221b39d9142f42bae2e2e9a897b9f692c75dd90d65"
... | akaGD-13/trove_bt2 | main.py | main.py | py | 1,493 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "tushare.set_token",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "t... |
1541036519 | # -*- coding: utf-8 -*-
"""
Grabs 5 second chunks of voltage data being sampled at
100 Hz
"""
import serial
import time
import matplotlib.pyplot as plt
import numpy as np
from datetime import datetime
import os
from scipy import fftpack
from scipy import signal
ser = serial.Serial('COM3', 9600)
time.s... | MCKersting12/EEG_DIY | python/grab_voltage_chunk.py | grab_voltage_chunk.py | py | 1,842 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "serial.Serial",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplot",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot"... |
13741501932 | import cv2
import os
import os
import sys
import time
import pickle
import random
import numpy as np
os.environ["CUDA_VISIBLE_DEVICES"] = "0"
# 读取数据集 总共8类 32, 64, 128 , 256尺寸
# os opencv 训练数据集
image_size = 32
def readImage(dir):
totalImage = []
totalFlag = []
totalImageTemp = []
totalFlagTemp = []
... | tchennech/graduateDesign | preperData.py | preperData.py | py | 3,197 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.environ",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "random.shuffle",
"line_numb... |
40363479768 | __author__ = 'M_Nour'
import numpy as np
from scipy import stats
from sklearn.semi_supervised import label_propagation
from sklearn.metrics import classification_report, confusion_matrix,accuracy_score, f1_score, recall_score
from collections import Counter
# import marjan_dataset
import dataset
from imblearn... | marjan-nourollahi/PALS | My_Active_Learning.py | My_Active_Learning.py | py | 10,383 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "dataset.load_data",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.random.RandomState",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.... |
42830860654 | import speech_recognition as sr
import pyttsx3
def recognize_speech_from_mic(recognizer, microphone):
if not isinstance(recognizer, sr.Recognizer):
raise TypeError("`recognizer` must be `Recognizer` instance")
if not isinstance(microphone, sr.Microphone):
raise TypeError("`microphone` must be... | Elysian01/AI-Chatbot | aichatbot/speech2text.py | speech2text.py | py | 1,373 | python | en | code | 7 | github-code | 1 | [
{
"api_name": "speech_recognition.Recognizer",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "speech_recognition.Microphone",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "speech_recognition.RequestError",
"line_number": 22,
"usage_type": "a... |
2628218849 | import os
import json
import csv
import datetime
import requests
from util import download_file
def main():
#愛媛県のopendata
url="https://www.pref.ehime.jp/opendata-catalog/dataset/2174/resource/7072/380008_ehime_covid19_patients.csv"
file_name=download_file(url)
#日付とその日の陽性者数をセットしていく
d... | tamitami5c/corona-ehime-data | main.py | main.py | py | 1,909 | python | ja | code | 0 | github-code | 1 | [
{
"api_name": "util.download_file",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.date.fromisoformat",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "datetime.da... |
36909495555 | from django.shortcuts import render
from django.http import HttpResponse, JsonResponse
from django.template import loader
from appprueba.forms import ContactoForm
from datetime import datetime
from django.contrib import messages
from django.core.mail import send_mail
from django.conf import settings
# Create your ... | nicofe88/DjangoB | appprueba/views.py | views.py | py | 6,053 | python | es | code | 1 | github-code | 1 | [
{
"api_name": "appprueba.forms.ContactoForm",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.contrib.messages.success",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.contrib.messages",
"line_number": 19,
"usage_type": "name"
},
{
... |
7084636942 | import pygame
import socket
from effects import *
import json
from random import randint
import sys
pygame.init()
s = socket.socket()
port = 5555
s.bind(('',port))
s.listen(5)
def main():
number_client = ""
while type(number_client) != int:
try:
number_client = int(input("Combien de joueur... | Alexander7474/Sky_Shooter_Online | server.py | server.py | py | 3,349 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "pygame.init",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "socket.socket",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 52,
... |
27394954701 | # Create your views here.
from django.contrib import messages
from django.contrib.auth import authenticate
from django.contrib.auth.decorators import login_required, permission_required
from django.contrib.auth import login as auth_login
from django.http import HttpResponseRedirect, HttpResponseForbidden
from django.sh... | AliVillegas/Wisapp | Wisapp/app/views.py | views.py | py | 23,656 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.contrib.auth.authenticate",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.login",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.redirect",
"line_number": 33,
"usage_type": "call"
},
{
... |
10277790770 | import csv_reader
from datetime import datetime, timedelta
import time
class Bus:
def __init__(self, route_id, direction, trip_id):
bus_id = f"bus-{route_id}-{direction}-{trip_id}"
self.bus_id = bus_id
self.route_id = route_id
self.direction = direction
self.trip_id = trip_i... | jovanovicm/genetic-bus-charging-network | Testing/bus_integration_v1.py | bus_integration_v1.py | py | 3,987 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "csv_reader.routes.items",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "... |
38126545610 | import mediapipe as mp
import numpy as np
import cv2
from draw_landmarks import draw_landmarks_on_image
model_path = 'pose_landmarker_full.task'
BaseOptions = mp.tasks.BaseOptions
PoseLandmarker = mp.tasks.vision.PoseLandmarker
PoseLandmarkerOptions = mp.tasks.vision.PoseLandmarkerOptions
PoseLandmarkerResult = mp.ta... | napongps/Muay-Thai-pose-similarity | Detector_video.py | Detector_video.py | py | 2,023 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "mediapipe.tasks",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "mediapipe.tasks",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "mediapipe.tasks",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "mediapip... |
21973052666 | import collections
def TransformToArray(data, reverse):
keys = list(data.keys())
for key in keys:
data[key] = collections.OrderedDict(sorted(data[key].items(),reverse=reverse))
auxData = list(data.values())
data = []
for index in range(len(auxData)):
data.append({'na... | augusto-roct/ExportModel | src/app/utils/documentToArray.py | documentToArray.py | py | 683 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "collections.OrderedDict",
"line_number": 7,
"usage_type": "call"
}
] |
71793787233 | import re
from lib.core.settings import WAF_ATTACK_VECTORS
__product__ = "KONA Security Solutions (Akamai Technologies)"
def detect(get_page):
retval = False
for vector in WAF_ATTACK_VECTORS:
page, headers, code = get_page(get=vector)
retval = code == 501 and re.search(r"Reference #[0-9A-Fa-... | pwnieexpress/raspberry_pwn | src/pentest/sqlmap/waf/kona.py | kona.py | py | 407 | python | en | code | 1,000 | github-code | 1 | [
{
"api_name": "lib.core.settings.WAF_ATTACK_VECTORS",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "re.search",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "re.I",
"line_number": 12,
"usage_type": "attribute"
}
] |
74692226594 | import os
import django
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'calendar_base.settings')
django.setup()
import unittest
from calendarapp import models
from calendarapp.models import Year, Month, Day
class CalendarTest(unittest.TestCase):
def year_tester(self, year_object, year, start_day, start_day_str, d... | broden-wanner/colmanegancalendar | calendar_validation_tests.py | calendar_validation_tests.py | py | 5,515 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.environ.setdefault",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "django.setup",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
... |
18152152452 | import torch.nn as nn
class YOLO_V1_Model(nn.Module):
def __init__(self,params):
self.dropout_prob= params["dropout"]
self.num_classes= params["num_class"]
super(YOLO_V1_Model,self).__init__()
# LAYER 1
self.layer1 = nn.Sequential(
nn.Conv2d(3, 64, kernel_size=... | Alibhji/python_training | 4_YOLO_1/YOLO_V1_A/package_1/YOLO_V1_Model.py | YOLO_V1_Model.py | py | 9,382 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "torch.nn.Module",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_... |
27723210016 | from django.shortcuts import render, redirect
from .models import *
from .forms import UsuarioForm, PescadoForm, PescariaForm, CriarUsuarioForm
from .filters import OrderFilter, UsuarioFilter, PescariaFilter
from django.contrib.auth.forms import UserCreationForm
from django.contrib import messages
from django.contrib.a... | sergioroberto15/Pescaria_Django | accounts/views.py | views.py | py | 7,022 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.shortcuts.redirect",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "forms.CriarUsuarioForm",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "forms.CriarUsuarioForm",
"line_number": 21,
"usage_type": "call"
},
{
"api_name"... |
6561066196 | from django.http import HttpResponse
from django.shortcuts import render
import datetime
def hello(request):
try:
ua = request.META['REMOTE_ADDR']
except KeyError:
ua = 'unknown'
return HttpResponse("Hello world, you are visiting %s, %s" % (request.path, ua ))
def meta_data(request):
... | RobertFloor/mysite | mysite/views.py | views.py | py | 860 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.http.HttpResponse",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponse",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 26,
"usage_type": "call"
},
{
"api_name"... |
10124597966 | import json
import requests
if __name__ == '__main__':
url='https://oapi.dingtalk.com/robot/send?access_token=e88a5dfb80118f073ddae0534d9daa4ea0d5049917d7768b12753e2e9ef649c3'
headers = {'Content-Type': 'application/json;charset=utf-8'}
# data={
# "msgtype": "text",
# "text": {
# ... | WilliamFWG/Warehouse | python/PycharmProjects/py03/day01/dingtalk.py | dingtalk.py | py | 2,054 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "requests.post",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 46,
"usage_type": "call"
}
] |
34504054424 | from unittest import mock
from fastapi.responses import Response
from fastapi.testclient import TestClient
from apps.main import app
client = TestClient(app)
def test_read_main_success():
response = client.get("/")
assert response.status_code == 200
def test_read_main_template_not_found():
with mock.... | Alexvjunior/challenge | tests/test_translator_view.py | test_translator_view.py | py | 2,950 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "fastapi.testclient.TestClient",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "apps.main.app",
"line_number": 8,
"usage_type": "argument"
},
{
"api_name": "unittest.mock.patch",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "uni... |
12380996944 | import pandas as pd
data = pd.read_csv('C:/Users/Rakesh/Desktop/DataScience/Lohith code/Naive Bayes/spam.csv', encoding='latin-1')
data.head()
# Drop column and name change
data = data.drop(["V3", "Unnamed: 3", "Unnamed: 4"], axis=1)
#data2 = data.drop([3,4],axis=0)
#print(data2)
data = data.rename(columns={"v1": "l... | gswathinair/SwathiWS | Naive Bayes/naive_bayes_spam_or_not.py | naive_bayes_spam_or_not.py | py | 2,342 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pandas.read_csv",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sklearn.feature_extraction.text.CountVectorizer",
"line_number": 26,
"usage_type"... |
26481879926 | from osgeo import ogr
import warnings
from typing import Union
from gdalhelpers.checks import layer_checks, values_checks
from gdalhelpers.classes.DEM import DEM
import losanalyst.functions.los_field_names as field_names
from losanalyst.functions import helpers
def check_los_layer(layer: ogr.Layer) -> None:
"""
... | JanCaha/los_analyst | losanalyst/functions/checks.py | checks.py | py | 7,122 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "osgeo.ogr.Layer",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "osgeo.ogr",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "osgeo.ogr.Layer",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "osgeo.ogr",
"... |
33854572922 | """
Taken from pyro tutorial
"""
import argparse
from os.path import exists
import numpy as np
import torch
import torch.nn as nn
import pyro
import pyro.distributions as dist
import pyro.poutine as poutine
from pyro.distributions import TransformedDistribution
from pyro.distributions.transforms import affine_autore... | CJHJ/convolutional-neural-markov-model | models/convdmm.py | convdmm.py | py | 25,613 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "torch.nn.Module",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_nu... |
15848455280 | import pyautogui, time
amount = input("How many comments to do you want to make?")
amount = int(amount)
comment = input("What do you want to comment?")
print("The program is starting in 5 seconds.")
time.sleep(5)
pyautogui.scroll(100)
pyautogui.scroll(-7)
time.sleep(2)
for i in range(amount):
pyautogui.moveTo... | IAMACAR10/yt-spam | yt-spam.py | yt-spam.py | py | 455 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "time.sleep",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pyautogui.scroll",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pyautogui.scroll",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_nu... |
43788559826 | import colour
from IPython.display import Video
from datetime import datetime
class ishow_config():
def __init__(self,
# file_writer_config
write_to_movie=True,
break_into_partial_movies=False,
save_last_frame=False,
save_pngs=Fa... | Kexin-Zhang-UCAS/imanim | imanim/__init__.py | __init__.py | py | 4,527 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "colour.Color",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 100,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 100,
"usage_type": "name"
},
{
"api_name": "IPython.displa... |
2909345465 | import cv2
import requests
import sys
import os
from PIL import Image
import json
import numpy as np
from . import error_score
from . import face_pp
URL = 'https://api-us.faceplusplus.com/facepp/v1/face/thousandlandmark'
API_KEY = ['-D9lXEJg0Z0MMuSHKtmKxetMLqYkZp2c', 'eORdjUCXMFgW-RahCeWAzZM-huNDakIi', '5Ak... | cubalys/tmp | faceshape_carrick/shape.py | shape.py | py | 9,358 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "cv2.imread",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cv2.imencode",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": ... |
2852118483 | from django.urls import path
from django.contrib.auth import views as auth_views
from . import views
urlpatterns = [
path('', views.index, name='index'),
# path('login/', auth_views.LoginView.as_view(template_name='pybo/login.html'), name='login'),
path('logout/', auth_views.LogoutView.as_view(), name='log... | ischar/pillMe2 | pybo/urls.py | urls.py | py | 782 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.views.LogoutView.as_view",
"line_number": 8,
"usage_type": "call"
},
{
"api_n... |
31532664375 | from flask import Flask, request
from flask.templating import render_template
from model import summariser
app = Flask(__name__)
@app.route('/')
def index():
return render_template('index.html')
@app.route('/results', methods=["POST"])
def summary():
if request.method == "POST":
data = request.form.t... | UnpredictablePrashant/MachineLearninginFlask | summariserAI/app.py | app.py | py | 574 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.templating.render_template",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "... |
71483143075 | from django.utils.translation import gettext_lazy
try:
from pretix.base.plugins import PluginConfig
except ImportError:
raise RuntimeError("Please use pretix 2.7 or above to run this plugin!")
__version__ = "1.0.1"
class PluginApp(PluginConfig):
name = "pretix_batch_emailer"
verbose_name = "Batch Em... | bockstaller/pretix-batch-emailer | pretix_batch_emailer/__init__.py | __init__.py | py | 789 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pretix.base.plugins.PluginConfig",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "django.utils.translation.gettext_lazy",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django.utils.translation.gettext_lazy",
"line_number": 18,
"usage_... |
70735149474 | import os
import warnings
from setuptools import setup, find_packages
def read(fname):
with open(os.path.join(os.path.dirname(__file__), fname), "rb") as f:
reqs = f.read().decode("utf-8")
return reqs
from pkg_resources import require, DistributionNotFound, parse_version
def check_provided(distributi... | bouralab/Prop3D | setup.py | setup.py | py | 3,734 | python | en | code | 16 | github-code | 1 | [
{
"api_name": "os.path.join",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pkg_resources.parse_version",
... |
4149696396 | import cv2
import numpy as np
import matplotlib.pyplot as plt
def conv2d(ori,kernal):
dimension = ori.shape
# ori = np.pad(ori,1,'constant',constant_values = 0)
result = np.zeros((dimension[0],dimension[1]))
for i in range(0,dimension[0]-2):
for j in range(0,dimension[1]-2):
ori_1 =... | ch3coch3/opencv_dl_hw | P3/P3.py | P3.py | py | 2,279 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.zeros",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.abs",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.mgrid",
"line_number": 20,
... |
38701721413 | '''
A simple python calculation question generator
usg: python calculator.py -d "+,-" -c 3 -l 200 -t 30
usg: python calculator.py --op_type="+,-" --op_count=3 --limit=20 --total=30
'''
import sys, getopt, random, json
def auto_cal_generator(limit=100, op_count=1, op_type=["+"], total=100):
res = {}
if limit>99... | jessychen1984/MiniProj | src/api/miniproj/calculator.py | calculator.py | py | 1,634 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "json.dumps",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_n... |
25258282499 | from __future__ import absolute_import, division, unicode_literals
import logging
import uuid
from flask_restful.reqparse import RequestParser
from sqlalchemy.orm import subqueryload_all
from changes.utils.diff_parser import DiffParser
from werkzeug.datastructures import FileStorage
from changes.api.base import APIV... | harrisonfeng/changes | changes/api/phabricator_notify_diff.py | phabricator_notify_diff.py | py | 6,390 | python | en | code | null | github-code | 1 | [
{
"api_name": "changes.config.db.session.query",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "changes.config.db.session",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "changes.config.db",
"line_number": 30,
"usage_type": "name"
},
{
"... |
12934808687 | from typing import Callable, Tuple, Union
from scipy.integrate import quad # type: ignore
from .context import Context
from .tree import BaseValue, Resolveable
from .utils import aslist
quad: Callable[..., Tuple[float, float]]
class Integral(Resolveable):
def __init__(
self,
integrand: Callabl... | Telofy/SquigglyPy | squigglypy/resolvers.py | resolvers.py | py | 986 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "scipy.integrate.quad",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "typing.Callable",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "tree.Resolveable",
... |
28276419372 | import os
import re
import ast
import pandas as pd
import numpy as np
import datetime
from typing import List, Union, Any, Tuple
import httplib2
import apiclient.discovery
from oauth2client.service_account import ServiceAccountCredentials
CREDENTIALS_FILE = os.getenv("CREDENTIALS_FILE")
gsheetId = os.getenv("gsheetId"... | pchlq/plaid_to_gsheets | df_to_sheet.py | df_to_sheet.py | py | 9,717 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.getenv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 15,
... |
71492290593 | import os
import requests
import csv
import tqdm
def download_img(url, name):
if not os.path.exists("./images/"):
os.mkdir("./images/")
name = name.replace("/", "_").replace('"', '“')
if os.path.exists("./images/" + name + '.jpg'):
return
req = requests.get(url=url)
try:
wi... | xucong053/arsenal_spider | img_download.py | img_download.py | py | 747 | python | en | code | 0 | github-code | 1 | [
{
"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": "os.path.exists",
"line_number":... |
72373797155 | # -*- coding: utf-8 -*-
import tensorflow as tf
import numpy as np
import torch
import torchvision as tv
from torchvision import transforms, datasets
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import matplotlib.pyplot as plt
print(tf.__version__)
# 3 models to implement various... | hruday48/CPSC-8430 | 1a.py | 1a.py | py | 8,092 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "tensorflow.__version__",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Module",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "torch.nn.Li... |
22725518291 | from scipy.ndimage import label as bwlabel
from computeNsSystem import computeNsSystem
from computeLinesDC import computeLinesDC, compute_lines_data_cost
from computeLinesLabelCost import computeLineLabelCost
import numpy as np
from LineExtraction_GC_MRFminimization import LineExtraction_GC_MRFminimization, line_extrac... | mishanius/handwriten-multi-skew-line-extraction | PostProcessByMRF.py | PostProcessByMRF.py | py | 2,758 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "computeNsSystem.computeNsSystem",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "scipy.ndimage.label",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "comput... |
12111496524 | #!/usr/bin/env python 3.8
# -*- coding: UTF-8 -*-
# @date: 2022.01.14 下午 11:46
# @name: demo2
# @author：Ads-Ryen
# @webside：www.prlrr.com
# @software: PyCharm
import requests
import re
url_1 = "https://www.demo.net/XiuRen/485_4.html"
response = requests.get(url=url_1)
try:
htmls = response.text.encode('ISO-8859-1... | Adsryen/ImageCrawlingManage | python/main/demo2.py | demo2.py | py | 1,797 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "requests.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "requests.utils.get_encodings_from_content",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "requests.utils",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_na... |
8997009046 | from flask import request, Flask, jsonify
from search.Searchengine import Searchengine
from flask_cors import *
app = Flask(__name__)
CORS(app, supports_credentials=True)
searchengine = Searchengine()
@app.route("/")
def main():
return "hello world"
@app.route("/search", methods=["GET","POST"])
def search():... | wp931120/Seach_engine | web/app.py | app.py | py | 595 | python | en | code | 6 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "search.Searchengine.Searchengine",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.request.form.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "fla... |
10722851178 | import sys
from flask import Flask, render_template, request, flash, url_for, redirect
from config import SQLITE_DATABASE_NAME
from model import db, db_init, Post
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///' + SQLITE_DATABASE_NAME
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] ... | Tozarin/Personal-site | main.py | main.py | py | 1,878 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "config.SQLITE_DATABASE_NAME",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "model.db.app",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "model.db",
... |
2554886757 |
from flask import Flask
app = Flask(__name__)
@app.route("/")
def home():
name = 'Lisa'
city_names = ['Paris', 'London', 'Rome', 'Tahiti']
city = ""
for i in city_names:
city += f'<li>{i}</li>'
return f'''
<html>
<body>
<h1>Welcome {name}!</h... | AroraPranav/Hw3_flask | home.py | home.py | py | 526 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
}
] |
31223384313 | '''Crie um pg que leia a idade de 7 pessoas. no final mostre quantas pessoas são maiores de idade e quantas são menores.'''
from datetime import date
maior = 0
menor = 0
ano = date.today().year
for lista in range(1,8):
nasc = int(input('Digite seu ano de nascimento da {}ª pessoa: '.format(lista)))
if ano - nasc... | FrancisPaull/CursoemvideoPython | exercicios/ex054 repetição for grupo da maioridade.py | ex054 repetição for grupo da maioridade.py | py | 459 | python | pt | code | 0 | github-code | 1 | [
{
"api_name": "datetime.date.today",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 5,
"usage_type": "name"
}
] |
11296103632 | from rest_framework import generics, status
from rest_framework.response import Response
from rest_framework.permissions import IsAuthenticated
from API.serializers import (
ContainerSerializer,
ContainerCreateOnlySerializer
)
from API.models import Container, Device
from django.db.models import Q
class Conta... | AmbientELab-Group/Medbox-server | app/API/views/container.py | container.py | py | 6,622 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "rest_framework.generics.ListCreateAPIView",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.generics",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "API.serializers.ContainerCreateOnlySerializer",
"line_number": 16,
... |
12297714547 | import json
import csv
import os
import boto3
import gspread
from oauth2client.service_account import ServiceAccountCredentials
def create_keyfile_dict():
variables_keys = {
"type": os.environ.get("TYPE"),
"project_id": os.environ.get("PROJECT_ID"),
"private_key_id": os.environ.get("PRIVATE_KEY_ID")... | tbarringer/Google-Sheets-to-Redshift | GoogleSheets-to-S3_Lambda/lambda_function.py | lambda_function.py | py | 1,566 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "os.environ.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_... |
70556971235 | from glob import glob
from itertools import repeat
from matplotlib import gridspec as gs
from matplotlib import pyplot as plt
from matplotlib.patches import Rectangle
from matplotlib.ticker import MultipleLocator
import json
import numpy as np
import seaborn as sns
from copy import copy
from os import path
from six imp... | BrainsOnBoard/procedural_paper | scripts/plot_multi_area.py | plot_multi_area.py | py | 10,715 | python | en | code | 22 | github-code | 1 | [
{
"api_name": "numpy.empty",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "seaborn.despine",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number... |
25562295539 | import csv
import random
from os import path
from zipfile import ZipFile
from lxml import etree
ZIPS_DIR = path.join(path.realpath('.'), 'race-zips')
zips_num = 50
xmls_per_zip = 100
def test_csv1():
total_ids_expected = zips_num * xmls_per_zip
csv1_realpath = path.join(ZIPS_DIR, 'csv1.csv')
ids = set()... | jackalissimo/multicore | race_csv/tests/test_race_csv.py | test_race_csv.py | py | 1,893 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.path.join",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "os.path.realpath",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": ... |
16708399772 | from django.contrib import admin
from django.urls import path
from . import views
urlpatterns = [
path('' , views.register),
path('show', views.show),
path('send', views.send),
path('delete', views.delete),
path('edit', views.edit),
path('RecordEdited', views.RecordEdited)
] | priyanka51195/student-management | management/urls.py | urls.py | py | 300 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
43708317307 | from hello_world import app as hello_world_app
import hello_world
import pytest
@pytest.fixture
def client():
with hello_world_app.test_client() as client:
yield client
def test_service_reply_to_root_path(client):
response = client.get("/")
assert 'world' in response.data.decode(response.charset... | JustM57/MADE_python_hw | test_flask.py | test_flask.py | py | 2,146 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "hello_world.app.test_client",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "hello_world.app",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "pytest.fixture",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "hello_wo... |
15219280424 | import webbrowser
import re
import requests
from bs4 import BeautifulSoup
from urllib import request
def list_url(sorted_url):
urls = []
for a in sorted_url:
if a.has_attr('href'):
urls.append(a['href'])
return urls
def main():
plugin = input("Podaj nazwę wtyczki: ")
headers ... | JobbyJabber/WordPress-scraper | wp_scraper_v0.2.py | wp_scraper_v0.2.py | py | 1,337 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "urllib.request.urlopen",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "urllib.request",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "re.compile",
... |
2144088888 | import numpy as np
import matplotlib.pyplot as plt
from helpers import *
def svm_train_brute(training_data):
# convert data to np array just in case
training_data = np.asarray(training_data)
positive = training_data[training_data[:, 2] == 1]
negative = training_data[training_data[:, 2] == -... | quanghuy2002/huyyeutrang | svm2.py | svm2.py | py | 6,074 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "numpy.asarray",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": ... |
9213758492 | import numpy as np
import pandas as pd
from imblearn.base import SamplerMixin
from imblearn.pipeline import make_pipeline
import collections
import copy
import random
# parent submodules
import os, sys
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from preprocessors import IndicatorTr... | mazmazz/SkepticSystem | python/skepticsys/preprocessors/multi_sampler.py | multi_sampler.py | py | 7,860 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "sys.path.insert",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_num... |
18475202709 | from flask import Blueprint, render_template, request, session, redirect, Response, make_response
from twilio.twiml.voice_response import Dial, VoiceResponse, Say
from twilio_client import sid, auth
voice = Blueprint("voice", __name__, template_folder="templates", static_folder="static")
@voice.route("/voice/", metho... | R-Ligier/AiHackathon | voice.py | voice.py | py | 517 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.Blueprint",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "flask.req... |
4620091398 | from flask import Blueprint, render_template, session, redirect, request
from app.db import mysql
from app.Main import allevent_len
import requests
from serpapi import GoogleSearch
user = Blueprint("User", __name__, url_prefix="/user",
template_folder="templates")
@user.route('/')
def home():
if... | Rbcoder1/EMS_WEB | app/User/views.py | views.py | py | 3,436 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "flask.Blueprint",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.session",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "flask.session",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "app.db.mysql.connection.cu... |
70711738913 | import base64
import json
import pickle
from django_redis import get_redis_connection
from utils.cookiesecret import CookieSecret
# def merge_cart_cookie_to_redis(request, user, response):
# """
# 登录后合并cookie购物车数据到Redis
# :param request: 本次请求对象，获取cookie中的数据
# :param response: 本次响应对象，清除cookie中的数据
# ... | libin-c/Meiduo | meiduo/apps/carts/utils.py | utils.py | py | 2,909 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "utils.cookiesecret.CookieSecret.loads",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "utils.cookiesecret.CookieSecret",
"line_number": 70,
"usage_type": "name"
},
{
"api_name": "django_redis.get_redis_connection",
"line_number": 73,
"usage_type"... |
10546935939 | from PyQt5.QtWidgets import QWidget, QApplication
from PyQt5.QtCore import Qt, QPoint, QRect, pyqtSignal
from PyQt5.QtGui import QMouseEvent, QPixmap, QPainter, QBrush, QColor
class RectangleSelectionBackground(QWidget):
left_clicked = pyqtSignal()
right_clicked = pyqtSignal(QMouseEvent)
rectangle_select ... | Snaiel/dbx-interface | package/ui/widgets/explorers/base/selection_background.py | selection_background.py | py | 2,055 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.pyqtSignal",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtCore.pyqtSignal",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "... |
71968485153 | #!/usr/bin/env python3
""" Li battery discharge rate logger
--------------------------------
This project discharges a Li battery through a resistive load and logs the
voltage and current at a set interval to a CSV file. You can set the battery
voltage which the test ends at. Start with the battery full... | Footleg/power-monitoring | li-cell_logger.py | li-cell_logger.py | py | 4,339 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.basicConfig",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 69,
"usage_type": "attribute"
},
{
"api_name": "gpiozero.LED",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "gpiozero.LED",
... |
4892480619 |
import numpy as np
from scipy.io.wavfile import write
import matplotlib.pyplot as plt
# Set the parameters for the sine wave
frequency = 440 # Hz
duration = 2.0 # seconds
amplitude = 0.5 # amplitude of the sine wave
# Generate the time points for the sine wave
t = np.linspace(0, duration, int(duration * 44100))... | axeldav/synth | sine.py | sine.py | py | 635 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.linspace",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.subplots",
... |
3408655101 | import requests
from datetime import datetime
import smtplib
import time
MY_EMAIL = "XXXXXXXXXXX@gmail.com"
MY_PASSWORD = "XXXXXXXXXXXXX"
MY_LAT = 38.548330
MY_LONG = -90.326280
def is_iss_overhead():
response = requests.get(url="http://api.open-notify.org/iss-now.json")
response.raise_for_status()
data = respons... | christinichka/iss_overhead | main.py | main.py | py | 1,805 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "requests.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
... |
72930184995 | import numpy as np
import torch
import random
from typing import Optional, Tuple
def fourier_shift(u: torch.Tensor, eps: float=0., dim: int=-1, order: int=0) -> torch.Tensor:
"""
Shift in Fourier space.
Args:
u (torch.Tensor): input tensor, usually of shape [batch, t, x]
eps (float): shift... | brandstetter-johannes/LPSDA | common/augmentation.py | augmentation.py | py | 11,079 | python | en | code | 35 | github-code | 1 | [
{
"api_name": "torch.Tensor",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.fft.rfft",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.fft",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "torch.arange",
"li... |
41283693798 | from typing import Iterable
import pytest
from zepben.evolve import assign_equipment_to_feeders, Equipment, TestNetworkBuilder, Feeder, BaseVoltage
def validate_equipment(equipment: Iterable[Equipment], *expected_mrids: str):
equip_mrids = [e.mrid for e in equipment]
for mrid in expected_mrids:
asser... | zepben/evolve-sdk-python | test/services/network/tracing/test_assign_to_feeders.py | test_assign_to_feeders.py | py | 3,820 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "typing.Iterable",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "zepben.evolve.Equipment",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "zepben.evolve.assign_equipment_to_feeders",
"line_number": 19,
"usage_type": "call"
},
{
"a... |
23737668358 | import dask.dataframe as dd
from lightgbm import LGBMClassifier
import joblib
import json
import pandas as pd
from sklearn.metrics import accuracy_score
def lightgbm_model(X_train_file, y_train_file, X_validation_file, y_validation_file, params_file, col_names, model_output_file):
# Read from parquet file
X_tr... | Asad1287/AutoML-for-Predictive-Maintenance | src/Data_Modeling/model_creation_lightgbm.py | model_creation_lightgbm.py | py | 1,823 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "dask.dataframe.read_parquet",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "dask.dataframe",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "dask.dataframe.read_parquet",
"line_number": 11,
"usage_type": "call"
},
{
"api_name":... |
21196188643 | from flask import Flask,redirect,render_template,url_for,request
app = Flask(__name__)
@app.route('/')
def Home():
return render_template('index.html')
@app.route('/report/<float:marks>')
def report(marks):
if marks >= 35 :
return render_template('pass.html',result = marks)
else:
... | BHARATH970438/RasultChecker_API | Result_API/main.py | main.py | py | 904 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.render_te... |
35298556855 | from fastapi import FastAPI, Request, Response, BackgroundTasks
from fastapi.responses import JSONResponse, StreamingResponse, RedirectResponse
from fastapi.staticfiles import StaticFiles
from fastapi.templating import Jinja2Templates
from pathlib import Path
import os
import cv2
import time
import subprocess
app = Fa... | prabal01pathak/directory_video_player | app.py | app.py | py | 2,900 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "fastapi.staticfiles.StaticFiles",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "fastapi.... |
44385920232 | import logging
import re
from JsonReplace import JsonReplace
def Position_strController(json_data):
list_length = len(json_data)
count = 0
for i in range(0, list_length):
if re.search(JsonReplace().init_date, str(json_data[i].get('position_str'))):
count = count + 1
if count == 0:... | SmallSky7/JsonReplace | Function/Position_strController.py | Position_strController.py | py | 1,018 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "re.search",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "JsonReplace.JsonReplace",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.debug",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "re.search",
"line... |
2325252310 | import os
import shutil
from flask import request, jsonify
from flask_restful import Resource
from flask_uploads import UploadNotAllowed
from db import db
from libs import image_helper
from models.category import CategoryModel
from models.subcategory import SubCategoryModel, SubCategoryImageModel
from schemas.catego... | Emir99/city-service | resources/subcategory.py | subcategory.py | py | 7,847 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "schemas.category_subcategory.SubCategorySchema",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "schemas.category_subcategory.SubCategorySchema",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "schemas.category_subcategory.CategoryImageSchema",
... |
39434606704 | from django.shortcuts import render, get_object_or_404
from .models import Download, Item
# Create your views here.
def list_page(request):
queryset = Download.objects.all()
context = {
'object_list': queryset
}
return render(request, 'downloads/list.html', context)
def detail_page(request, ... | pramod0021a/proutj | src/downloads/views.py | views.py | py | 483 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "models.Download.objects.all",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "models.Download.objects",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "models.Download",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": ... |
36360318683 | """
Unit tests for optimization routines from minpack.py.
"""
from numpy.testing import *
import numpy as np
from numpy import array, float64
from scipy import optimize
from scipy.optimize.minpack import fsolve, leastsq, curve_fit
class TestFSolve(TestCase):
def pressure_network(self, flow_rates, Qtot, k):
... | decarlin/stuartlab-scripts | python/scipy-0.8.0/scipy/optimize/tests/test_minpack.py | test_minpack.py | py | 5,138 | python | en | code | 6 | github-code | 1 | [
{
"api_name": "numpy.hstack",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.diag",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "numpy.empty",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 6... |
44494706441 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
# @Time : 2018/5/23 14:15
# @Author : zhouyuyao
# @File : demon1.py
import multiprocessing
import os
import time
from datetime import datetime
def subprocess(number):
# 子进程
print('这是第{0}个子进程'.format(number))
pid = os.getpid() # 得到当前进程号
pr... | zyyxydwl/Python-Learning | LIVE_PYTHON/2018-05-22/demon1.py | demon1.py | py | 1,049 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.getpid",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"l... |
4444628072 | from rasa.core.policies import KerasPolicy, MemoizationPolicy, FallbackPolicy, FormPolicy, MappingPolicy
from rasa.core.agent import Agent
import asyncio
async def main():
# there is a threshold for the NLU predictions as well as the action predictions
agent = Agent('domain.yml', policies=[KerasPolicy(epochs=... | jupiterbak/RASA | DialogEngineService/train_core.py | train_core.py | py | 1,017 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "rasa.core.agent.Agent",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "rasa.core.policies.KerasPolicy",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "rasa.core.policies.FallbackPolicy",
"line_number": 9,
"usage_type": "call"
},
{
... |
31097782837 | """
Hold the functionality of Image Recognition and Verification
"""
import face_recognition
import numpy as np
from PIL import Image, ImageDraw
class Image_recog:
""" Holds the functionality of testing similarity between two images """
def __init__(self, im1, im_smiling, im_not_smiling):
self.im_kn... | yohanguez/Hackathon_2018 | image_recognition/image_recog.py | image_recog.py | py | 8,201 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "face_recognition.load_image_file",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "face_recognition.load_image_file",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "face_recognition.face_encodings",
"line_number": 28,
"usage_type": "cal... |
11367251439 | # Menu drive banking app
# PAN number is considered as Primary key for all banking operations
# Customer Name,Account Number,Balance, Date of Birth, Phone Number, Address are stored as customer details
import datetime
import os,sys
import re
import random
import csv
import pandas as pd
def create_acc():
... | aravind51097/Menu_Driven_Bank_management_system | BankingApp.py | BankingApp.py | py | 6,395 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "re.match",... |
12092507814 | # 导入若干工具包
import torch
import torch.nn as nn
import torch.nn.functional as F
# 定义一个简单的网络类
class Net(nn.Module):
def __init__(self):
super(Net, self).__init__()
# 定义第一层卷积神经网络, 输入通道维度=1, 输出通道维度=6, 卷积核大小3*3
self.conv1 = nn.Conv2d(1, 6, 3)
# 定义第二层卷积神经网络, 输入通道维度=6, 输出通道维度=16, 卷积核大小3*3
... | Eye-Wuppertal/NLP_Learning | test/t_01pytorch_base/torchnn.py | torchnn.py | py | 1,761 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "torch.nn.Module",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numb... |
33594433609 | #This file is designed to have all the functions for preprocess data in both the product df and the review data frames
#It will act as the library to import from functions needed in the preprocess_data.py
import pandas as pd
import numpy as np
from collections import Counter
##########################################... | stuartong/amazon-product-prediction | preprocess_data_module.py | preprocess_data_module.py | py | 11,042 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "yaml.safe_load",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "nltk.c... |
41303685951 | from pickle import GET
from flask import Flask, render_template, request, redirect, url_for, session
import requests
from bs4 import BeautifulSoup
import datetime
app = Flask(__name__)
@app.route('/' , methods=['GET', 'POST'])
def index():
return render_template('index.html')
# Create route that displays t... | davidbardales17/music_traveler | music_traveler/webapp.py | webapp.py | py | 1,478 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "flask.req... |
34763790059 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('algo', '0002_auto_20170629_1511'),
]
operations = [
migrations.AddField(
model_name='results',
name=... | HSISeg/HSISeg | algo/migrations/0003_results_status_text.py | 0003_results_status_text.py | py | 426 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AddField",
"line_number": 14,
"usage_type": "call"
},
{
... |
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