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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
10298086633 | # Pollover is a Discord bot that allows users to create polls in discord servers, as well as fetch random trivia questions from an API for users to answer
import discord
import os
import sqlite3
import requests
import random
import html
from discord import option
from http_server import start_server
# Instantiating a... | MohameddMostafaa/Pollover-Discord-Bot | main.py | main.py | py | 10,319 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "discord.Bot",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "sqlite3.connect",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "discord.SelectOption",
... |
74245127038 | import json
from pprint import pprint
with open('swjson.json') as data_file:
data = json.load(data_file)
listapelis=[]
for pelicula in data ["results"]:
for titulo in pelicula["films"]:
if titulo["id"] not in listapelis:
listapelis.append(titulo["id"])
for nave in data["results"]:
contador=0
for pe... | Alexlp1092/LM1718 | P3JSON/SW/sw2.py | sw2.py | py | 472 | python | pt | code | 0 | github-code | 97 | [
{
"api_name": "json.load",
"line_number": 4,
"usage_type": "call"
}
] |
18838032322 | import sys
from termcolor import colored
if len(sys.argv) < 2:
print("Usage: gooz <path>")
sys.exit(0)
boilerplate = """
from functions import *
from keys import *
<code>
"""
try:
with open(sys.argv[1], 'r') as f:
code = f.read()
except FileNotFoundError:
print(colored("File not found:", "red... | Advik-B/Goose-Script | src/main.py | main.py | py | 1,045 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "sys.argv",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "termcolor.colored",
"line_numb... |
12985590307 | import logging
import re
import yaml
LOG = logging.getLogger(__name__)
def error_override_vars(override_vars, spec_filepath):
"""
Warn user if any given variable name isn't found in the original spec file.
"""
if override_vars is None:
return
original_text = open(spec_filepath, "r").rea... | koning/merlin | merlin/spec/override.py | override.py | py | 1,704 | python | en | code | null | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "yaml.dump",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 48,... |
74986915837 | from django.shortcuts import render
from django.db import connection
from collections import namedtuple
from django.http import HttpResponseRedirect
from django.urls import reverse
from .forms import createForm
def rud_kategori_apparel(request):
cursor = connection.cursor()
try:
cursor.execute("SET SEA... | kartikadipra/c03-basdat | kategori_apparel/views.py | views.py | py | 1,986 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.db.connection.cursor",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.db.connection",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.render",
"line_number": 19,
"usage_type": "call"
},
{
"api_name":... |
4993428115 |
"""""""""""
NumPy Coding
"""""""""""
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
NumP_Array = np.array([[1, 2, 3], [4, 6, 7]])
NP1 = np.array([[1, 3], [4, 5]])
NP2 = np.array([[3, 4], [5, 7]])
MNP = NP1@NP2
MNP3 = np.dot(NP1, NP2)
MNP2 = NP1*NP2
MNP4 = np.multiply(NP1, NP2)
Sum1 = NP1+NP2
... | aminzayer/ML-Coding-Practice-Example | NumPy-Pandas-Matplotlib-Coding.py | NumPy-Pandas-Matplotlib-Coding.py | py | 5,027 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "numpy.array",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.dot",
"line_number": 14... |
2646257857 | # -*- coding: utf-8; -*-
#
# (c) 2011-2015 Thomas Bellembois thomas.bellembois@ens-lyon.fr
#
# This file is part of Chimithèque.
#
# Chimithèque is free software; you can redistribute it and/or modify
# it under the terms of the Cecill as published by the CEA, CNRS and INRIA
# either version 2 of the License, or (at yo... | tbellembois/chimitheque | modules/chimitheque_logger.py | chimitheque_logger.py | py | 4,360 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "logging.NOTSET",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "logging.DEBUG",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "logging.INFO",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "logging.WARN... |
8673054937 | from django.shortcuts import render, redirect, get_object_or_404
from .models import Photo
from .forms import PhotoForm
from django.views.generic import ListView
from django.db.models import Q
# Create your views here.
def all_gallery_view(request, *args, **kwargs):
queryset = Photo.gallery.all()
context = {
... | benayu/organisation_tool | DjangoApp/gallery/views.py | views.py | py | 1,821 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "models.Photo.gallery.all",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "models.Photo.gallery",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "models.Photo",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "djang... |
71622306239 | import numpy as np
import h5py
from matplotlib import pyplot as plt
from scipy.stats import mstats
DATA_DIR = "/qscratch/ashriva/Experiments/Data/final_dataset/"
arr_dir = "../../results/"
def errbar_cal(err):
ymin = np.min(err)
ymax = np.max(err)
ymean = np.mean(err)
ystd = np.std(err)
# yerror ... | saakethdesai/dimensionality-reduction | analysis/figure4/plot_mse.py | plot_mse.py | py | 12,527 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.min",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.max",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.std",
"line_number": 14,
... |
27988443839 | from tkinter import *
from tkinter import messagebox
import tkinter.filedialog
import os
import shutil
import customtkinter as CTk
import json
import subprocess
downloads_path = ''
def set_path():
global downloads_path
downloads_path = tkinter.filedialog.askdirectory()
def README_function():
message = ... | ziadh/Desky | src/DO/DO.pyw | DO.pyw | pyw | 4,922 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "tkinter.filedialog.askdirectory",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "tkinter.filedialog",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "tkinter.messagebox.showinfo",
"line_number": 19,
"usage_type": "call"
},
{
... |
73110641599 | #####################################################################################################
#
# Will list all of the incomplete run id's that need to finish running, per diagnotic/selection treatment
# Script will go through each replicate for a specific selection/diagnostic treatment
#
# Command Line Inputs:... | jgh9094/ECJ-2023-Suite-Of-Diagnostic-Metrics-For-Characterizing-Selection-Schemes | DataTools/Checker/sweep-run.py | sweep-run.py | py | 4,509 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "sys.path.insert",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pandas.errors",
"li... |
15619116416 | import pandas
import json
from apyori import apriori
# 数据导入和处理
with open('spider/data/user_following_topics.txt', 'r') as f:
data = f.readlines()
array = []
for user in data:
info = json.loads(user)
if info['type'] == 'people':
array.append({
'id': ... | koala0qoo/Zhihu_topic_association_rule | topic_association_rule.py | topic_association_rule.py | py | 1,272 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "json.loads",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "apyori.apriori",
"line_number": 27,
"usage_type": "call"
}
] |
73436104318 | import os, sys, itertools, pandas
import numpy as np
from physion.analysis import read_NWB, process_NWB
def Normalize(x):
if np.std(x)>0:
return (x-np.mean(x))/np.std(x)
else:
return np.zeros(len(x))
def NWB_to_dataframe(nwbfile,
visual_stim_label='per-protocol',
... | yzerlaut/physion | src/physion/analysis/dataframe.py | dataframe.py | py | 15,887 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "numpy.std",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.std",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 10,
... |
72493917759 | from datetime import datetime, date
# get days between two specified_dates
def days_between(d1, d2):
d1 = datetime.strptime(d1, '%Y-%m-%d')
d2 = datetime.strptime(d2, '%Y-%m-%d')
return abs((d2 - d1).days)
if __name__ == '__main__':
# get date_1 and date_2
date_1 = date(year=2022, month=6, day... | amit-curiosity/python-basics | days-between-dates/days_between_dates.py | days_between_dates.py | py | 581 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "... |
30735337420 | # coding: utf-8
import numpy as np
import pickle
from PIL import Image
import chainer
from chainer import cuda
from chainer import optimizers
from chainer.optimizer import WeightDecay
from chainer import serializers
import net
def main():
# Parameters
epoch_max = 200
minibatch_max = 64
lambda_em = 1... | taichi-iki/ddgm | train.py | train.py | py | 3,215 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "pickle.Unpickler",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "net.DDGMNet",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "chainer.optimizers.Adam",
... |
38128312802 | #!/usr/bin/env python
# coding: utf-8
# In[2]:
import requests
from ftplib import FTP
from datetime import datetime
from datetime import timedelta
import zipfile
import os
# In[3]:
#a python class to scape data from the texas rrc file transfer protocol
class grabtxrrcdata():
def __init__(self, localPat... | fahimnis/grabRigData | grabRigData.py | grabRigData.py | py | 2,020 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "datetime.datetime",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "ftplib.FTP",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_... |
74745837760 | import os
from torch.utils.data import Dataset
import random
from PIL import Image
'''
Data storage format: class mixed
../data/train/xxx.jpg
../data/test/xxx.jpg
'''
class DogCat(data.Dataset):
def __init__(self,root,transform=None,train=True,val=False,test=False):
self.test=test
self.train=train
self.va... | dezhili/PyTorch_Format1 | dataset/Custom_Dataset.py | Custom_Dataset.py | py | 1,158 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.path.join",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "random.shuffle",
"line_numbe... |
31805131504 | import numpy as np
from bidict import bidict
from loguru import logger
from lxml import etree
from quantized_mesh_encoder import encode
from plateaukit.constants import nsmap
from plateaukit.utils import parse_posList
class VerticesMap:
counter: int
index_by_vertex: bidict
def __init__(self):
se... | ozekik/plateaukit | plateaukit/generators/quantized_mesh.py | quantized_mesh.py | py | 2,016 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "bidict.bidict",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "bidict.bidict",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "lxml.etree.parse",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line_n... |
41486379719 | import collections
from typing import List
import base.solution
from lib.ds_collections.treenode import TreeNode
class Solution(base.solution.Solution):
def all_nodes_distance_k_in_binary_tree(self, root: List[List[int]], target: int, K: int) -> List[int]:
root = TreeNode.deserialize(root)
if no... | pondycrane/algorithms | python/graph/bfs/all_nodes_distance_k_in_binary_tree.py | all_nodes_distance_k_in_binary_tree.py | py | 1,996 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "base.solution.solution",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "base.solution",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "lib.ds_collections... |
41616336309 | import json
import struct
import tensorflow as tf
import cv2
import numpy as np
import os
imageSize = 337
width = imageSize
height = imageSize
mobileNetArchitectures = [
['conv2d', 2],
['separableConv', 1],
['separableConv', 2],
['separableConv', 1],
['separableConv', 2],
['separableConv', 1],... | daxiangpanda/RTStylize | converter/tfjs2python.py | tfjs2python.py | py | 5,294 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "json.load",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "struct.calcsize",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "struct.unpack",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "tensorflow.cast",
"line_n... |
23361417923 | import django
from django.conf import settings
from django.contrib import admin
from django.contrib.staticfiles.urls import staticfiles_urlpatterns
from django.urls import path, include
urlpatterns = [
path('admin/', admin.site.urls),
path('', include('blog.urls')),
]
# Images & debug configuration
if setting... | benjanem/jeu-videos | mysite/urls.py | urls.py | py | 752 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "dja... |
5276359661 | from flask import Blueprint, render_template, abort
from sqlalchemy import func, distinct
from skylines.database import db
from skylines.lib.dbutil import get_requested_record
from skylines.model import User, Club, Flight, Airport
statistics_blueprint = Blueprint('statistics', 'skylines')
@statistics_blueprint.rout... | pmnyc/Data_Engineering_Collections | django_flask_samples/skylines-master/skylines/frontend/views/statistics.py | statistics.py | py | 3,077 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "flask.Blueprint",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "skylines.database.db.session.query",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "skylines.database.db.session",
"line_number": 18,
"usage_type": "attribute"
},
{
... |
22100545022 | from typing import Any, Tuple, List
import sys
matx = sys.modules['matx']
from .. import ASYNC, PadWithBorderOp
from ._base import BaseInterfaceClass, BatchBaseClass
from ._common import _torch_padding_mode, _assert
class Pad(BaseInterfaceClass):
def __init__(self,
padding: List[int],
... | bytedance/matxscript | python/matx/vision/tv_transforms/pad.py | pad.py | py | 2,733 | python | en | code | 363 | github-code | 97 | [
{
"api_name": "sys.modules",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "_base.BaseInterfaceClass",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.List",
... |
14946191390 | # -*- coding: utf-8 -*-
import json
from flask import url_for
import pytest
from project.models import Translation
import base
LENGTH_ERROR = base.length_error(2, 100)
@pytest.mark.usefixtures('client_class')
class TestTranslations:
def jwt_header(self, username='test'):
jwt = base.valid_jwt_token(clien... | adyouri/lafza | tests/test_translations.py | test_translations.py | py | 8,600 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "base.length_error",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "base.valid_jwt_token",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.url_for",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "json.dumps",
... |
15557106530 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Oct 3 09:32:22 2021
@author: phoudayer
"""
import types
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import scipy.stats as st
from scipy.optimize import minimize, curve_fit
from scipy.linalg import block_diag
#============... | pierrehoudayer/IMAS-8 | script.py | script.py | py | 14,423 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "matplotlib.rc",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "matplotlib.rc",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "matplotlib.rc",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line... |
37886124072 | from anytree import Node, RenderTree
from pickpack import pickpack
title = 'Please choose your favorite fruit: '
options = [
{ 'name': 'Apples', 'grow_on': 'trees' },
{ 'name': 'Oranges', 'grow_on': 'trees' },
{ 'name': 'Strawberries', 'grow_on': 'vines' },
{ 'name': 'Grapes', 'grow_on': 'vines' },
]
... | anafvana/pickpack | example/options_map_func.py | options_map_func.py | py | 616 | python | en | code | 11 | github-code | 97 | [
{
"api_name": "anytree.Node",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pickpack.pickpack",
"line_number": 18,
"usage_type": "call"
}
] |
74983546238 | import tensorflow as tf
from tensorflow.keras import layers
from tensorflow.keras import models
from tensorflow.keras import backend as K
import horovod.tensorflow.keras as hvd
#import horovod.tensorflow as hvd_tf
import numpy as np
import argparse
import math
import time
from cifar import load_cifar
import custom_ca... | jorditorresBCN/SA-MIRI-2019 | tf_keras_horovod_cifar.py | tf_keras_horovod_cifar.py | py | 2,236 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "horovod.tensorflow.keras.init",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "horovod.tensorflow.keras",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 19,
"usage_type": "call"
},
{
"ap... |
22111175814 | """
the key is full binary tree
it must be 2^n - 1
1 cannot (1 can)
2 cannot
4 cannot
divided into 3 parts
1 root
left 2^i - 1
right 2^j - 1
ah no..
5 can, so not 2^n - 1
2*n - 1???
"""
# Definition for a binary tree node.
from typing import List, Optional
class TreeNode:
def __init__(self, val=0, left=Non... | kangxie-colorado/leetcode-and-notes | mock.fullBinaryTree.py | mock.fullBinaryTree.py | py | 1,048 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "typing.List",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 32,
"usage_type": "name"
}
] |
35887147325 | # -*- coding: utf-8 -*-
"""
Created on Tue Mar 1 18:51:22 2022
@author: suraj
"""
import streamlit as st
from streamlit_cropper import st_cropper
import numpy as np
import cv2
from PIL import Image, ImageEnhance
from urllib.request import urlopen
import os
import base64
import io
from io import Bytes... | ssgzth/SnapEdit | main.py | main.py | py | 6,638 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "urllib.request.urlopen",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "cv2.imdecode",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "cv2.IMREAD_COLOR",
... |
30371797287 | from __init__ import *
from discord.ext import commands
import discord
from numpy import nan
import datetime as dt
import plotly.graph_objects as go
import tweepy
from wol_bot_static import token, teams, ha, pred_cols, twitter_apikey, twitter_secret_apikey, \
twitter_access_token, twitter_secret_access_token, poll... | jacobhesster/wolves-pred-bot | wolves_bot.py | wolves_bot.py | py | 38,321 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "discord.Intents.default",
"line_number": 196,
"usage_type": "call"
},
{
"api_name": "discord.Intents",
"line_number": 196,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands.Bot",
"line_number": 198,
"usage_type": "call"
},
{
"api_name... |
9421598465 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import os
import sys
import re
import pandas as pd
import numpy as np
from torch.utils.data import Dataset, DataLoader
import torch
codepath = os.path.abspath(sys.path[0])
sys.path.append(codepath+'/../lib')
sys.path.append(os.getcwd())
class MovementHybridDataset(Dataset... | LonxunQuantum/PWMLFF | src/pre_data/data_loader_2type_nn_hybrid.py | data_loader_2type_nn_hybrid.py | py | 9,371 | python | en | code | 12 | github-code | 97 | [
{
"api_name": "os.path.abspath",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "sys.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"lin... |
42322159989 | # importing the modules that will be needed in the project
import pygame
import random
# initialising the pygame modules
pygame.init()
# creating and setting the size of the screen that is going to be used
screen_width = 1040
screen_height = 680
screen = pygame.display.set_mode((screen_width, screen_height))
# Creat... | JoshieKing/capstoneRepository | my_game.py | my_game.py | py | 6,611 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pygame.init",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.l... |
10767903160 | import itertools
from collections import UserDict
from operator import itemgetter
from typing import Dict, Iterator, List, Set, Tuple, TypeVar, Union, cast
from pyproj import Proj, Transformer
from shapely.geometry import MultiLineString, MultiPolygon, Polygon
from shapely.geometry.base import BaseGeometry
from shapel... | xoolive/cartes | cartes/osm/overpass/relations/boundary.py | boundary.py | py | 5,186 | python | en | code | 38 | github-code | 97 | [
{
"api_name": "collections.UserDict",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "shapely.geometry.base.BaseGeometry",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "shapely.geometry.MultiLineString",
"line_number": 24,
"usage_type": "argument"
... |
74993256957 | import logging
import re
import requests
from .base import ParserBase
bot = logging.getLogger("rse.main.parsers.zenodo")
class ZenodoParser(ParserBase):
name = "zenodo"
matchstring = "^10[.][0-9]{4}/zenodo[.][0-9]{7}$"
def _set_uid(self, uid):
"""Given some kind of Zenodo uri, parse it"""
... | rseng/rse | rse/main/parsers/zenodo.py | zenodo.py | py | 3,858 | python | en | code | 13 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "base.ParserBase",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "re.search",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "rse.utils.urls.repository_... |
10196036061 | from sklearn.metrics import mean_squared_error,accuracy_score,auc,f1_score
import torch
import numpy as np
def rmse(y_true,y_pred):
if isinstance(y_true,torch.Tensor):
return ((y_pred-ytrue)**2).mean().pow(0.5).item()
elif isinstance(y_true,np.ndarray):
return mean_squared_error(y_true,y_pred,s... | rishubhkhurana/EVA | S12/metrics.py | metrics.py | py | 1,767 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "torch.Tensor",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "numpy.ndarray",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "sklearn.metrics.mean_squared_error",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "... |
22836655413 | import csv
import requests
import random
import json
import pymysql
import time
from lxml import etree
allResult = []
# 从json文件当中获取当前的数据条数以及总数据
# with open('小说.json','r',encoding='utf-8') as file:
# with open('小说test.json','r',encoding='utf-8') as file:
# # jsonDic = json.load(file)
# count = jsonDic['count']
#... | huojinhui/PycharmProjects | 初级python/移动端/小说.py | 小说.py | py | 3,636 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pymysql.connect",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "csv.DictWriter",
"line_num... |
31873871767 | import itertools
list = ['0001','0011','0101','1011','1101','0111']
new_list = [int(binary , 2) for binary in list]
new_list.sort()
print(new_list)
sum= sum(new_list)
print(sum)
combination = itertools.combinations(new_list,2)
last = None
for combo in combination:
last = combo
print... | Pulkit-g03/Synapse_task | Task1.-2.py | Task1.-2.py | py | 549 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "itertools.combinations",
"line_number": 15,
"usage_type": "call"
}
] |
1525205735 | #!/usr/bin/env python3
# script fetches FMI Open data and imports it to DB
from tendo import singleton
me = singleton.SingleInstance() # will sys.exit(-1) if other instance is running
from db_setup import *
from cleaner import *
import configparser
from configurator import *
import os.path
tiff_dir_base = config.get... | savelov/radar-wms | get_single.py | get_single.py | py | 5,612 | python | en | code | 9 | github-code | 97 | [
{
"api_name": "tendo.singleton.SingleInstance",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "tendo.singleton",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "os.path.exists",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "os.path",... |
37944246863 | # -*- coding:utf8 -*-
from __future__ import print_function
import os
import numpy as np
import pandas as pd
import codecs
from keras.datasets import imdb
from config import Config
class Data_Loader(object):
def __init__(self):
print('Loading data...')
def load_from_file(self, config, mode='train')... | FrankBlood/TextClassification | imdb/data_loader.py | data_loader.py | py | 2,929 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "config.train_path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "config.test_path",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.listdir",
... |
15551955186 | #import PIL.Image
import dlib
import numpy as np
import cv2
from .faceID_models import faceID_models
import itertools
import sys
import os
import re
import multiprocessing
import shutil
face_detector = dlib.get_frontal_face_detector()
predictor_68_point_model = faceID_models.pose_predictor_model_location()
pose_pred... | guantinglin/faceID_lib | faceID_lib/api.py | api.py | py | 13,014 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "dlib.get_frontal_face_detector",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "faceID_models.faceID_models.pose_predictor_model_location",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "faceID_models.faceID_models",
"line_number": 15,
... |
3165487068 | import glob
import re
import jieba
from collections import defaultdict
jieba.enable_paddle()
jieba.initialize()
def convert_to_halfwidth(line):
line = line.translate(str.maketrans("".join([chr(i) for i in range(ord('！'), ord('～') + 1)]), "".join([chr(i) for i in range(ord('!'), ord('~') + 1)]))).strip()
line ... | sikfeng/language-modelling-for-code-switching | data_generation/scripts/extract_man_ch_news_txt.py | extract_man_ch_news_txt.py | py | 5,025 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "jieba.enable_paddle",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "jieba.initialize",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_nu... |
1254911841 | from typing import Union, List
from simpleperf_utils import AdbHelper
def get_logcat_for_aut(aut: str, adb: AdbHelper) -> Union[str, None]:
status, pid = adb.run_and_return_output(['shell', 'pidof', aut])
if not status:
print("failed to get pid")
return None
print(pid)
status, logcat_... | eblokland/TestOrchestrator | adb_helpers/logcat_utils.py | logcat_utils.py | py | 1,129 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "simpleperf_utils.AdbHelper",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "typing.Union",
... |
34146593638 | import tkinter as tk
import tkinter.font as tkFont
from time import strftime
import datetime as dd
class App:
def __init__(self, root):
#setting title
root.title("clock")
#setting window size
width=1000
height=580
screenwidth = root.winfo_screenwidth()
screen... | sanjayengineer121/clock-of-office | clock.py | clock.py | py | 4,664 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "time.strftime",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "tkinter.La... |
73680746238 | #Coded by Sumanjay on 29th Feb 2020
from flask import Flask, request, jsonify
from inshorts import getNews
from flask_cors import CORS
app = Flask(__name__)
app.secret_key = "i_am_not_feeling_sleepy_so_i_am_coding_this"
CORS(app)
@app.route('/')
def home():
return 'News API is UP!<br><br>A part of <a href="https:... | cyberboysumanjay/Inshorts-News-API | app.py | app.py | py | 758 | python | en | code | 185 | github-code | 97 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
... |
10068481596 | #!/usr/bin/env python
#-*- coding: utf-8 -*-
#pylint: disable=C0301,C0103,R0914,R0903
"""
WMArchive command line tool
"""
from __future__ import print_function
__author__ = "Valentin Kuznetsov"
# system modules
import os
import sys
import pwd
if sys.version_info < (2, 6):
raise Exception("WMArchive requires pyth... | dmwm/WMArchive | src/python/WMArchive/Tools/wma_client.py | wma_client.py | py | 6,915 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "sys.version_info",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "sys.version_info",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "urllib2.HTTPSHandler",
"line_number": 48,
"usage_type": "attribute"
},
{
"api_name": ... |
23674049756 | from setuptools import setup, find_packages
import os
# import pkg_resources
# installed_pkg = {pkg.key for pkg in pkg_resources.working_set}
# # Determine version on branch name
# active_branch = os.environ.get('CI_COMMIT_REF_NAME')
# if active_branch is None:
# if 'git' in installed_pkg:
# impor... | alphabayes/databayes | setup.py | setup.py | py | 2,498 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "setuptools.setup",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 48,
"usage_type": "call"
}
] |
42473281454 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from PyQt5.QtCore import Qt
from PyQt5.QtWidgets import QGraphicsDropShadowEffect, QWidget
class EffectTool:
@staticmethod
def setBlur(widget: QWidget, shadowRadius: int = 12, shadowColor: int = Qt.gray):
# 去除默认边框
widget.setWindowFlags(Qt.Frameless... | NWYLZW/right-click-helper | src/rightClickHelper/tool/effectTool.py | effectTool.py | py | 891 | python | en | code | 23 | github-code | 97 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.Qt.gray",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtCore.Qt",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "PyQt5.... |
32187845923 | import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from matplotlib.patches import Rectangle
'''
0 -- up
1 -- right
2 -- down
3 -- left
'''
def get_motion_direction(x, epsilon):
if np.random.uniform(0,1) > epsilon:
return x
return np.random.randint(0, 4)
def is_wall(x, y):
if x == 0 or x == ... | ankit-1517/GridWorld-using-MDP-and-Q-Learning | ql.py | ql.py | py | 5,381 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "numpy.random.uniform",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.randint",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.ran... |
71700654400 |
# Author: Steven C. Dang
# Main script for importing provided D3M dataset schemas for operation on datasets
import logging
import os.path as path
import os
import csv
# Workflow component specific imports
from ls_utilities.ls_logging import setup_logging
from ls_utilities.cmd_parser import get_default_arg_parser
fr... | stevencdang/AutoML-DS-Components | datasetimporter/src/main.py | main.py | py | 2,483 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "ls_utilities.cmd_parser.get_default_arg_parser",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "l... |
2191583326 | import argparse
import numpy as np
from maml import MAML
from Dynamics import Dynamics
import gym
from cost_functions import cheetah_cost_fn, ant_cost_fn
from my_envs.mujoco import *
import tensorflow as tf
import utils
from loginfo import log
import time
from controllers import MPCcontroller
from utils import confi... | Jerryxiaoyu/local_mpc | MPC_main.py | MPC_main.py | py | 7,900 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "cost_functions.cheetah_cost_fn",
"line_number": 68,
"usage_type": "name"
},
{
"api_name": "time.time",
"line_number": 87,
"usage_type": "call"
},
{
"api_name": "nump... |
29274893341 | """added decision_by_id fields to works
Revision ID: 622cb040a90e
Revises: 2b164207f899
Create Date: 2023-02-02 11:38:06.597732
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '622cb040a90e'
down_revision = '2b164207f899'
branch_labels = None
depends_on = None
... | bcgov/EPIC.track | epictrack-api/migrations/versions/622cb040a90e_added_decision_by_id_fields_to_works.py | 622cb040a90e_added_decision_by_id_fields_to_works.py | py | 1,639 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "alembic.op.execute",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "alembic.op.add_column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "alembic.op",
... |
27672051498 | import json
import boto3
import os
import logging
def lambda_handler(event, context):
connection_id = event["requestContext"]["connectionId"]
dynamodb = boto3.resource('dynamodb')
table = dynamodb.Table('Connection')
###### $connect
if event["requestContext"]["eventType"] == "CONNECT":
... | passingbreeze-bonfire/send-realtime-location-info-service | lambda-Websocket/handler.py | handler.py | py | 1,000 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "boto3.resource",
"line_number": 8,
"usage_type": "call"
}
] |
2082444568 | import requests
import json
if __name__ == '__main__':
url = 'http://www.kfc.com.cn/kfccda/ashx/GetStoreList.ashx?op=keyword'
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/104.0.0.0 Safari/537.36'
}
place = input('enter a plac... | xishandong/crawlProject | 基础篇/request/05-肯德基餐厅位置查询.py | 05-肯德基餐厅位置查询.py | py | 1,184 | python | en | code | 305 | github-code | 97 | [
{
"api_name": "requests.post",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 24,
"usage_type": "call"
}
] |
10164315621 | from django.shortcuts import render, redirect
from django.views.generic.edit import CreateView, UpdateView, DeleteView
from django.views.generic import ListView, DetailView
from django.contrib.auth import login
from django.contrib.auth.forms import UserCreationForm
from django.contrib.auth.decorators import login_requi... | raihanmorshed/dovecollector | dovecollector/main_app/views.py | views.py | py | 3,813 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.contrib.auth.forms.UserCreationForm",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.login",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.redirect",
"line_number": 24,
"usage_type": "call"
... |
5341965986 | import re
import json
import string
from bs4 import BeautifulSoup
from selenium import webdriver
import csv
def get_soup(url):
driver = webdriver.Chrome(executable_path=r'C:\Users\Ashish Mishra\Desktop\chromedriver.exe')
driver.get(url)
html = driver.page_source
soup = BeautifulSoup(html... | MindaugasVaitkus2/selenium-webriver-python | indeed jobdescription scrapping.py | indeed jobdescription scrapping.py | py | 4,552 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "string... |
2239451800 | #!/usr/bin/env python3
import cheminfo
import sys
import numpy as np
import qml
import scipy
from qml.kernels import (get_atomic_local_gradient_kernel,
get_atomic_local_kernel)
from qml.math import svd_solve
from qml.representations import generate_fchl_acsf
import rmsd
from train_test impo... | andersx/qml-ase | train_csv.py | train_csv.py | py | 2,428 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "numpy.random.seed",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "train_test.csvdir_to_reps",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.r... |
42476057579 | import requests
from bs4 import BeautifulSoup
import pandas as pd
def gameFinder(gameName):
gameName = gameName.replace(' ', '_')
page = requests.get(f"https://en.wikipedia.org/wiki/{gameName}")
soup = BeautifulSoup(page.content, 'html.parser')
main = soup.find(id='bodyContent')
infos = ... | Hama101/DiscordBot | GameFinder.py | GameFinder.py | py | 784 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "requests.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 9,
"usage_type": "call"
}
] |
22540287304 | import numpy as np
import matplotlib.pyplot as plt
from scipy.optimize import curve_fit
from get_KONICA_data import get_KONICA_data
import json
import os
# Sigmoid函数
def sigmoid(x, k, x0):
return 1 / (1 + np.exp(-k * (x - x0)))
# root_path = r'B:\Datasets\Temporal_Flicker_Meter_log\deltaL_L_2s\2023-12-17-05-06-02'... | caiyancheng/VRR_Real | dL_L/fit_dl_L_curve_flicker_meter_sigmoid.py | fit_dl_L_curve_flicker_meter_sigmoid.py | py | 2,772 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "numpy.exp",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 15... |
30804491856 | # exercise 1.1
# use function 'bisect' to realize
# looking for the root of equation by bisect
from math import log2, log, e
from math import ceil, floor
from math import cos, sin
import matplotlib.pyplot as plt
import numpy as np
def bisect(f, a, b, tol):
'''
calculate the approximate solution of f(x)=0
... | RonaldLeoLu/NumericalAnalysis | C11_bisect.py | C11_bisect.py | py | 4,547 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "math.ceil",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "math.log2",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 84,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplot",
"l... |
43740360270 | import cv2
import os
from flask import Flask,request, render_template
from datetime import date
from pyattendance import attendance, face_detection
#### Defining Flask App
app = Flask(__name__)
today = date.today().strftime("%d-%B-%Y")
atd = attendance()
face_detector = face_detection()
################## ROUTING... | yash9904/Attendance-System | app.py | app.py | py | 5,435 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.date.today",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "pyattendance.attendance... |
16515671928 | from flask import Flask, render_template,request, redirect,json;
import snscrape.modules.twitter as sntwitter
import pandas as pd
import snscrape.modules.twitter as sntwitter
import pandas as pd
from textblob import TextBlob
import re
import string
import sqlite3
import os
from os import path
import pickle
model = pic... | Fardeen8032/ReviewAnalysis | app.py | app.py | py | 5,566 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pickle.load",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_numbe... |
35996477044 | from torch import nn
from collections import Counter
from random import random
from nltk import word_tokenize
from torch.autograd import Variable
import pandas as pd
import re
import numpy as np
import torch
import torch.nn.functional as F
import os
from sklearn.utils import shuffle
import json
import random
import ar... | Wendy-Xiao/Extsumm_local_global_context | test.py | test.py | py | 6,383 | python | en | code | 67 | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 67,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
... |
35670053571 | # Author: Santosh Kumar
# Created On: 11-Apr-2019
# Description: This is sample code to create REST api using Flask in python
from flask import Flask, jsonify, request
app = Flask('friends_network')
friends = [
{
'name': 'John Warner',
'friendlist': [
{
'name': 'David Karter',
'sex': ... | hifisantosh/python_rest_api | python_flask_rest_api.py | python_flask_rest_api.py | py | 2,157 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.request.get_json",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "flask.request",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "flask.jsonify",
"... |
39063098598 | import requests
import json
def cal(a):
v2=a[0]
v4=a[1]-1
while True:
v3=v2
v6=0
v7=10
while True:
v5=v3%10
if v5==0:
return v2
v3=v3//10
v6=max(v5,v6)
v7=min(v5,v7)
if v3<=0:
... | duowen1/geektree | 5.100w/solve5.py | solve5.py | py | 682 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "requests.get",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 34,
"usage_type": "call"
}
] |
5920208470 | #!/usr/bin/env python2
from PIL import Image, ImageDraw, ImageFont
WIDTH = 7200 #1080P
CONSTANT = 16
def main():
height = CONSTANT
words = open("eat_shit.txt")
for line in words:
height += CONSTANT
image = Image.new('RGB', (WIDTH, height), (255,255,255))
draw = ImageDraw.Draw(image)
... | infoforcefeed/Clear-Waste-of-Time | convert.py | convert.py | py | 663 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "PIL.Image.new",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "PIL.ImageDraw.Draw",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "PIL.ImageDraw",
"line_... |
13947622994 | from django.shortcuts import render
from dj_rest_auth.views import LoginView
from .models import CustomUser
from django.shortcuts import get_object_or_404
from random import randint
from django.core.mail import send_mail
from rest_framework.response import Response
from .serializers import TwoFASerializer
from rest_fra... | JQeybulla/DRF-two-factor-authentication | users/views.py | views.py | py | 2,962 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "dj_rest_auth.views.LoginView",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.get_object_or_404",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "models.CustomUser",
"line_number": 26,
"usage_type": "argument"
},
{
... |
13288099561 | #!/usr/bin/env python
# (c) Stefan Countryman, 2017
DESC = """Find all frame files of a given frame type in a given time range on
a remote LIGO server and download them to the specified output directory,
skipping any files that have already been downloaded."""
PROG_BAR_WIDTH = 40
VERBOSE = True # default to verbose f... | stefco/geco_data | geco_fetch_frame_files.py | geco_fetch_frame_files.py | py | 32,096 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 57,
"usage_type": "attribute"
},
{
"api_name": "subprocess.PIPE",
"line_number": 169,
"usage_type": "name"
},
{
"api_name": "subprocess.PIP... |
39628606538 | # BUCKS STATS
from nba_api.stats.static import teams
from nba_api.stats.endpoints import leaguegamefinder
import pandas as pd
import time
# Get the team ID for the Milwaukee Bucks
bucks_id = teams.find_teams_by_full_name('Milwaukee Bucks')[0]['id']
# Define the seasons you want to get data for
seasons = ['2018-19', ... | ektoravlonitis/Deep-Learning-for-Milwaukee-Bucks | data_collection.py | data_collection.py | py | 6,033 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "nba_api.stats.static.teams.find_teams_by_full_name",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "nba_api.stats.static.teams",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "nba_api.stats.endpoints.leaguegamefinder.LeagueGameFinder",
"line... |
23253185807 | #!/usr/bin/env python
# coding: utf-8
# # KDD FINAL PROJECT
#
# CHRAN SURESH - 10450732 SHREYA VHADADI - 10453495 PRITIHIV DEV - 10453922
# ## Online Shopper's Intention
# The main idea is to find the customers intention of whether he/she would buy the particular product given the features.
# In[59]:
i... | ShreyaVhadadi/Online-Shoppers-Intention | KDD_PROJECT.py | KDD_PROJECT.py | py | 7,389 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.pie",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "matplot... |
30412007456 | # -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html
import sqlalchemy
from sqlalchemy.orm import sessionmaker
from restaurant.models import TripAdvisor
class RestaurantPipelin... | LinYuMingBejing/TripAdvisorCrawl | restaurant/pipelines.py | pipelines.py | py | 1,766 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.orm.sessionmaker",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "restaurant.models.TripAdvisor",
"line_number": 37,
"usage_type": "argument"
},
{... |
71866031039 | from dataclasses import dataclass
from datetime import datetime
from typing import Optional, List
from opentelemetry.proto.common.v1 import common_pb2
from opentelemetry.proto.logs.v1 import logs_pb2
from opentelemetry.proto.trace.v1 import trace_pb2
@dataclass
class LogRecord:
span_id: str
trace_id: str
... | D-Korobkov/AnaLogs | opentelemetry/model.py | model.py | py | 2,980 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "datetime.datetime.fromtimestamp",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "opentelemetry.proto.logs.v1.logs_pb2.LogRecord",
"line_number": 30,
"usage_type": "attr... |
2246053104 | import os
from pathlib import Path
from datetime import datetime
from flask import Flask, render_template
import requests
import markdown
import sqlite3
db_connection = sqlite3.connect("./database.db")
db_cursor = db_connection.cursor()
db_cursor.execute(
"""
CREATE TABLE IF NOT EXISTS food (
name TEXT,
... | HackFrostNL/example-simple-portfolio | app.py | app.py | py | 2,520 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sqlite3.connect",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.scandir",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
... |
74155278717 |
from django import forms
from .models import Review
# class ReviewForm(forms.Form): # creat from from djanjo form
# user_name = forms.CharField(label="your name", max_length=100, error_messages={
# "required":"Your name must not be empty",
# "max_length":"please enter a shorter name"
# })
# ... | heshamzm/Feedback_django | reviews/forms.py | forms.py | py | 1,287 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "models.Review",
"line_number": 16,
"usage_type": "name"
}
] |
31495711567 | # -*- coding: utf-8 -*-
"""
Created on Sun Sep 30 09:47:02 2018
@author: I340968
"""
from PIL import Image
im=Image.open('test.jpg')
rgb_im=im.convert('RGB')
r,g,b=rgb_im.getpixel((1,1))
print(r,g,b)
| janakiraam/Python_Basic_Advance | set2/Area_image_to_rgb.py | Area_image_to_rgb.py | py | 214 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "PIL.Image.open",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 9,
"usage_type": "name"
}
] |
74108958397 | """Notifier that sends a message to the specified chat through Telegram"""
import logging
from notifiers.base_notifier import Notifier
import telegram
from telegram.error import TelegramError
_logger = logging.getLogger(__name__)
class TelegramNotifier(Notifier):
"""Notifier class for Telegram"""
def __ini... | MA3STR0/kimsufi-crawler | notifiers/telegram_notifier.py | telegram_notifier.py | py | 1,101 | python | en | code | 193 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "notifiers.base_notifier.Notifier",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "telegram.Bot",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "telegr... |
43320230692 | from setuptools import setup, find_packages
# setup metainfo
libinfo_content = open('__init__.py', 'r').readlines()
version_line = [l.strip() for l in libinfo_content if l.startswith('__version__')][0]
exec(version_line) # produce __version__
setup(
name='zerotasq',
version=__version__,
description='Stre... | chschock/zerotasq | setup.py | setup.py | py | 1,005 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "setuptools.setup",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 18,
"usage_type": "call"
}
] |
30381274236 | # Calls to attach and detach buffers
# from mpi4py import MPI
# try:
# from numpy import empty
# except ImportError:
# from array import array
# def empty(size, dtype):
# return array(dtype, [0]*size)
# BUFSISE = 10000 + MPI.BSEND_OVERHEAD
# buff = empty(BUFSISE, dtype='b')
# MPI.Attach_buffer(... | zuoshifan/python-parallel | mpi4py点到点通信之缓冲阻塞通信模式/attach_detach.py | attach_detach.py | py | 1,994 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "mpi4py.MPI.COMM_WORLD",
"line_number": 62,
"usage_type": "attribute"
},
{
"api_name": "mpi4py.MPI",
"line_number": 62,
"usage_type": "name"
},
{
"api_name": "numpy.empty",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "numpy.float64",
... |
73429176638 | import itertools
import sys
import math
from sweeppy import Sweep
class LIDAR():
MAX_SAFE_DISTANCE = 300.0
QUADRANT_SIZE = 45.0
def __init__(self):
self.lidar_sensor = "/dev/serial/by-id/usb-FTDI_FT230X_Basic_UART_DO00867Q-if00-port0"
self.sweep = None
self.speed = 0
self.rate = 0
def connec... | MissouriMRR/DroneKit | Flight/Scanse.py | Scanse.py | py | 1,359 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "itertools.islice",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "math.radians",
"line_number": 37,
"usage_type": "call"
}
] |
1663108583 | import math
import requests,json,re,time
from lxml import etree
headers = {
'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.198 Safari/537.36',
'cookie':'what ever'
}
proxys = []
def dl():
'''
正在测试：是否可以用代理IP进行请求
想达到稳定的目的。
:return... | yuanhai11/spider | Other/spider_all/企查查/spider_qcc.py | spider_qcc.py | py | 2,260 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "requests.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "requests.request",
"line_number": ... |
29491446372 | #!/usr/bin/env python3
import argparse
import json
import sys
def dump_json(obj, out, pretty):
if pretty:
json.dump(obj, out, indent=2, sort_keys=True)
else:
json.dump(obj, out, separators=(",", ":"), sort_keys=True)
return
def main():
parser = argparse.ArgumentParser(description="App... | Cocos-BCX/cocos-mainnet | programs/genesis_util/apply_patch.py | apply_patch.py | py | 1,854 | python | en | code | 1,304 | github-code | 97 | [
{
"api_name": "json.dump",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_numb... |
39432935854 | from typing import Union, Any, TypeVar, List
from enum import Enum
from api_krita import Krita
from api_krita.enums import Tool, BlendingMode, TransformMode
T = TypeVar('T', bound=Enum)
class Config(Enum):
"""
Configuration fields available in the plugin.
Each field remembers its default value:
- `... | V-YOP/yuuki-krita-config | pykrita/yuuki_helper/composer_utils/config.py | config.py | py | 5,364 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "typing.TypeVar",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "enum.Enum",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 72... |
22984191110 |
import os
import time
import paho.mqtt.client as mqtt
import cv2
import pytesseract
import re
import ffmpeg
rtsp_url = "rtsp://arkpi.local:8554/unicast"
tmp_img_file = './currentimg.jpg'
broker_ip = 'arkpi.local'
topic = 'ocrrequest'
publish_topic = 'plantdetect'
mqtt_port = 1883
is_ocr_enabled = False
def on_conn... | JM2308/CatchPot | tesseract-rtsp/app.py | app.py | py | 3,718 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "time.time",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 56,
... |
38370606520 | from typing import Callable
import tensorflow as tf
import numpy as np
def hard_swish(x: tf.Tensor):
with tf.name_scope('hard_swish'):
return x * tf.nn.relu6(x + np.float32(3)) * np.float32(1. / 6.)
class FuncAsLayer:
"""
This wrapper is a common denominator for function activations and layer activati... | michalfaber/tf_netbuilder | tf_netbuilder/activations.py | activations.py | py | 749 | python | en | code | 9 | github-code | 97 | [
{
"api_name": "tensorflow.Tensor",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.name_scope",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "tensorflow.nn.relu6",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "tensorf... |
27266227340 | from elasticsearch import Elasticsearch, VERSION
body={"doc": {
'title': 'Sabrina',
}}
#Primeiro passo Conectar a Instância do Elastic
elastic_client = Elasticsearch(hosts=['192.168.150.128:9200'])
#Criar o indice filmes
# filmes = elastic_client.indices.create("movies")... | clark94/Elastic | insertUpdateData.py | insertUpdateData.py | py | 980 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "elasticsearch.Elasticsearch",
"line_number": 10,
"usage_type": "call"
}
] |
10422870313 | #
# @lc app=leetcode.cn id=1631 lang=python3
#
# [1631] Path With Minimum Effort
#
# @lc code=start
from typing import List
from heapq import heappush, heappop
class NodeCost:
def __init__(self, node: int, cost: int) -> None:
self.node = node
self.cost = cost
def __lt__(self, other: 'NodeCos... | sugarmouse/leetcode-backup | src/1631.path-with-minimum-effort.py | 1631.path-with-minimum-effort.py | py | 3,989 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "typing.List",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "heapq.heappush",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "heapq.heappop",
"line_numb... |
14183261697 | import cv2
import numpy as np
LOWER_RED = np.array([150,50,50]) # np.array([120,200,0])
UPPER_RED = np.array([180, 255, 255])
LOWER_BLACK = np.array([0, 0, 0])
UPPER_BLACK = np.array([180, 220, 30])
LOWER_WHITE = np.array([0, 0, 200])
UPPER_WHITE = np.array([180, 255, 255])
def nothing():
pass
#cv2.name... | codedump00/vision | helpers/color.py | color.py | py | 3,343 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "numpy.array",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 8,
... |
1856898870 | import openai
openai.api_type = "azure"
openai.api_key = "d79f238475304db4b7247d70f88930df"
openai.api_base = "https://yb-japaneast.openai.azure.com/"
openai.api_version = "2023-05-15"
response = openai.ChatCompletion.create(
engine="gpt-35-turbo-16k",
messages=[
{"role": "system", "content": "나는 관광가이드 처럼... | YabetChoi/openai | 2. aoi_chatgpt.py | 2. aoi_chatgpt.py | py | 850 | python | ko | code | 0 | github-code | 97 | [
{
"api_name": "openai.api_type",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "openai.api_key",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "openai.api_base",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "openai.api... |
70697073279 | import pygame
class Countdown:
def __init__(self,cooldown):
'''
this make a clock to check cooldown of status
parameter cooldown: time to end status
'''
self.__start = pygame.time.get_ticks()
self.__cooldown = cooldown
self.__stop = False
@property
de... | kitoshitachi/Magic-Bullet | code/clock.py | clock.py | py | 883 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "pygame.time.get_ticks",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pygame.time",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pygame.time.get_ticks",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pygame.tim... |
23129381165 | from find_next_node import TreeNode, Solution
from typing import Optional
def to_binary_tree(items: list[int]) -> Optional[TreeNode]:
"""Create binary tree from list of values in bfs order.
:param list[int] items: list of values
:return Optional[TreeNode]: returned binary tree
"""
n = len(items)
... | greatqiaotong/coding-algorithm | 08_next_node_in_binary_tree/tests/test_find_next_node.py | test_find_next_node.py | py | 2,194 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "find_next_node.TreeNode",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "find_next_node.TreeNode",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "find_n... |
32433332666 | from django.urls import re_path, include, path
from driver_app.views import RegistrationAPIView
from driver_app.views import LoginAPIView
from driver_app.views import DriverViewSet
app_name = 'driver_app'
urlpatterns = [
re_path(r'^sign_up/?$', RegistrationAPIView.as_view(), name='driver_sign_up'),
re_path(r... | ekandreeva/bound | driver_app/urls.py | urls.py | py | 1,116 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.urls.re_path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "driver_app.views.RegistrationAPIView.as_view",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "driver_app.views.RegistrationAPIView",
"line_number": 10,
"usage_type": ... |
24805942580 | # 6603 로또
"""
단순 정렬된 조합을 구하는 문제, S의 원소는 원래부터 오름차순으로 주어지므로 따로 정렬할 필요도 없다.
종료조건에 input()[0] == 0으로 비교해야지, 그냥 input() == '0'해도 항상 False가 나오기 때문에 종료안됨.
"""
import sys
from itertools import combinations
input = sys.stdin.readline
while True:
array = list(map(str, input().split()))
if len(array) == 1:
... | jang-namu/pyAlgorithm | solved/7주차-백트래킹/bj6603.py | bj6603.py | py | 578 | python | ko | code | 0 | github-code | 97 | [
{
"api_name": "sys.stdin",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "itertools.combinations",
"line_number": 15,
"usage_type": "call"
}
] |
24066251759 | from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np
from sklearn import linear_model
import psycopg2
from datetime import datetime
import random
sales_ranges=[
{'min': 0, 'max': 499, 'symbol': 'A'},
{'min': 500, 'max': 999, 'symbol': 'B'},
{'min': 1000, 'max': 2499, '... | acuteIQ/missing_data_prediction | regression/company_regression_per_sci_code.py | company_regression_per_sci_code.py | py | 5,681 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "psycopg2.connect",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "random.shuffle",
"line_number": 108,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 110,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.Li... |
1583597598 | import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LinearRegression
# Load the Excel file
excel_file_path = "Data.xlsx"
# Load Yard Locations Data
yard_locations_data = pd.read_excel(excel_file_path, sheet_name="Yard Locations")
# Load Past In and Out ... | JeetSolanki23/BitTech_Phase3_Submission_H23 | main.py | main.py | py | 2,085 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pandas.read_excel",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.read_excel",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.read_excel",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.merge",
... |
5594158953 | # -*- coding: utf-8 -*-
from setuptools import setup, find_packages
with open('README.md') as f:
readme = f.read()
with open('LICENSE') as f:
license = f.read()
setup(
name='ot_service_wrapper',
version='0.1',
description='Biotaphy package for wrapping Open Tree services',
long_description=re... | biotaphy/ot_service_wrapper | setup.py | setup.py | py | 573 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "setuptools.setup",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 19,
"usage_type": "call"
}
] |
72207015358 | from typing import Any, Sequence
import openai
from azure.search.documents import SearchClient
from azure.search.documents.models import QueryType
from approaches.approach import Approach
from text import nonewlines
from core.messagebuilder import MessageBuilder
from core.modelhelper import get_token_limit
class Cha... | Xiang-CH/innochat_template | app/backend/approaches/chatreadretrieveread.py | chatreadretrieveread.py | py | 8,226 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "approaches.approach.Approach",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "azure.search.documents.SearchClient",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "core.modelhelper.get_token_limit",
"line_number": 42,
"usage_type": "cal... |
72558312318 | import re
import nltk
import string
import numpy as np
# 导入数据集预处理、特征工程和模型训练所需的库
from sklearn import model_selection, metrics
import pandas
from keras.preprocessing import text, sequence
from keras import layers, models, optimizers
from keras.utils import to_categorical
np.set_printoptions(threshold=np.inf)
MAX_SEQUEN... | Vance0124/Web-Information-Processing | Lab2/exp2/src/Entity.py | Entity.py | py | 13,987 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "numpy.set_printoptions",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.inf",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "string.punctuation",
"line_number": 47,
"usage_type": "attribute"
},
{
"api_name": "re.find... |
6609531695 | import json
from tqdm import tqdm
import sys
import shutil
import scipy
import pickle
import open3d as o3d
import numpy as np
from multiprocessing import Pool
import cv2 as cv
import imageio
import os
os.environ['OPENBLAS_NUM_THREADS'] = '1'
DEPTH_SCALE_FACTOR = 5000
# Point cloud from depth (by Konstantin)
def po... | MobileRoboticsSkoltech/SmartPortraits-toolkit | convert_to_TUM/utils/convert_to_tum.py | convert_to_tum.py | py | 7,469 | python | en | code | 5 | github-code | 97 | [
{
"api_name": "os.environ",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "cv2.getOptimalNewCameraMatrix",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.inv",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.... |
70094040960 | from pathlib import Path
import sys
path_root = Path(__file__).parents[2]
sys.path.append(str(path_root))
from requirements import *
from Metrics.Regression_metrics import *
class RESET():
def __init__(self):
pass
def test(self, fitted_model, power=3):
model, X, y, y_pred_restricted, featu... | kvbiii/ML_Algorithms_from_scratch | Linear_Regression/Diagnostic_tests/RESET.py | RESET.py | py | 2,697 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "pathlib.Path",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 4,
"usage_type": "attribute"
}
] |
13432291629 | import argparse
from abc import ABC
from pathlib import Path
import numpy as np
import epoch_counter
from main import add_arguments
from qlearning.network import TeacherAgent
from qlearning.teacher import TeacherEnv
from trainer import Trainer
class EpochCounter(epoch_counter.EpochCounter):
infos_name = "infos"... | ethanabrooks/teacher-RL | qlearning_main.py | qlearning_main.py | py | 2,682 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "epoch_counter.EpochCounter",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "trainer.Trainer",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "abc.ABC",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "pathlib.Path"... |
25717540504 | import argparse, sys
import numpy as np
from PIL import Image
from tqdm import tqdm
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
from torch.autograd import Variable
from transform import random_transform_generator
from dataset import SEMDataset
from modules import *
... | bmtuan/Att-Unet | main.py | main.py | py | 6,961 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "transform.random_transform_generator",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "dataset.SEMDataset",
"line_number": 64,
"usage_type": "call"
},
{
"a... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.