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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
25949217249 | # -*- coding: utf-8 -*-
"""
Created on Wed Sep 21 10:10:57 2016
@author: Rexxar
"""
import pycuda.driver as cuda
import pycuda.autoinit , time
from pycuda.compiler import SourceModule
import numpy
import sys
def insert(word):
letters = 'abcdefghijklmnopqrstuvwxyz'
word_char_arry = (pow(len(word)+1,2) * len... | kaushik0911/pycuda-spell-checker | final/insert.py | insert.py | py | 2,195 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "numpy.char.array",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.char",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "numpy.char.array",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.char",
"l... |
14392837281 | import json
import logging
import os
import sys
from flask import Flask, request
from flask_restplus import Api, Resource
from rmshelper import rmshelper
app = Flask(__name__)
api = Api(app)
STAGE = os.environ.get("STAGE")
logging.debug(f"Stage: {STAGE}")
# Get RMS Secret
region_name = os.environ.... | kallangerard/rmshelper | app.py | app.py | py | 1,878 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask_restplus.Api",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_... |
36195540231 | from setuptools import setup
import os
long_description = ''
try:
from pypandoc import convert
if os.path.exists('README.md'):
long_description = convert('README.md', 'rst')
except ImportError:
print("warning: pypandoc module not found, could not convert README.md to RST")
setup(
name="pySecu... | zephod-exodius/pysecuritycenterdevelop | setup.py | setup.py | py | 1,185 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.exists",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pypandoc.convert",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"lin... |
40954004801 | import glob
from sklearn.feature_extraction.text import CountVectorizer
import numpy as np
from collections import OrderedDict
def get_features(file1,file2):
# combining the files in first repo
output_file1 = open("java-output-1.0.0.txt","w")
for file in glob.glob(file1):
f = open(file,"r"... | alishibli97/NLP-Text-Processing | test_frequency.py | test_frequency.py | py | 6,951 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "glob.glob",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sklearn.feature_extraction.text.CountVectorizer",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "nu... |
6186846944 | import streamlit as st
from PIL import Image
import pandas as pd
import time
import os
import urllib.request
from datetime import datetime as dt
from TFOD_process import TFOD_image
from TFOD_process import TFOD_video
from file_downloader import image_downloader, video_downloader
from file_uploader import image_uploade... | jkong72/Streamlit_TFOD | app.py | app.py | py | 6,507 | python | ko | code | 1 | github-code | 18 | [
{
"api_name": "streamlit.sidebar.selectbox",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "streamlit.sidebar",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "streamlit.sidebar.selectbox",
"line_number": 34,
"usage_type": "call"
},
{
"ap... |
27252600264 | # -*- coding: utf-8 -*-
# quickstarted Options:
#
# sqlalchemy: True
# auth: sqlalchemy
# mako: True
#
#
# install it by: pip install --process-dependency-links --trusted-host guthub.com --trusted-host dobisel.com -e .
#This is just a work-around for a Python2.7 issue causing
#interpreter crash at exit wh... | eteamin/bazar | setup.py | setup.py | py | 2,251 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.version_info",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "ez_setup.use_setuptools",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "setupt... |
11201582599 | """
Package containing all the screens used in the application
"""
from abc import ABCMeta
from configparser import ConfigParser, Error
from functools import partial
import os
from kivy import Logger
from kivy.lang import Builder
from kivy.uix.screenmanager import ScreenManager, Screen
from phagocyte_frontend.networ... | BenjaminSchubert/HEIG_2016_GEN_project | frontend/phagocyte_frontend/views/screens/__init__.py | __init__.py | py | 2,576 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "kivy.uix.screenmanager.Screen",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "abc.ABCMeta",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "kivy.lang.Builder.load_file",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": ... |
23952188055 | from django.db import models
from django.utils.translation import ugettext_lazy as _
from django.contrib.auth.models import User
from django.core.exceptions import ValidationError
from django.core.cache import cache
from followship.signals import follower_created, follower_removed, \
followee_created, followee_rem... | danielliude/reismann_pub | followship/models.py | models.py | py | 3,923 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.core.cache.cache.delete_many",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "django.core.cache.cache",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "django.db.models.Manager",
"line_number": 33,
"usage_type": "attribute"
},
... |
14331548318 | from fastapi import FastAPI
import pandas as pd
from sklearn.metrics.pairwise import linear_kernel,cosine_similarity
from sklearn.feature_extraction.text import CountVectorizer
df=pd.read_csv(r"movie_credits.csv")
app=FastAPI()
@app.get("/")
@app.get('/peliculas_idioma/{idioma}')
def peliculas_idioma(idioma):
li... | 38215290/Proyecto_Peliculas | main.py | main.py | py | 4,522 | python | es | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "fastapi.FastAPI",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sklearn.feature_extraction.text.CountVectorizer",
"line_number": 111,
"usage_type": "call"
},
{
"ap... |
28963098631 | import glob
import json
import os
import shutil
import tempfile
import warnings
from collections import UserDict
from functools import cached_property
from os import PathLike
from pathlib import Path
from typing import Iterator, Union
from weakref import WeakKeyDictionary
import gdown
import numpy as np
import psutil
... | VIDA-NYU/tile2net | src/tile2net/raster/project.py | project.py | py | 17,269 | python | en | code | 108 | github-code | 18 | [
{
"api_name": "weakref.WeakKeyDictionary",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "weakref.WeakKeyDictionary",
"line_number": 49,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 63,
"usage_type": "name"
},
{
"api_name": "path... |
6785745848 | import os, sys
import time
import argparse
import numpy as np
import tensorflow as tf
from sklearn.metrics import roc_auc_score
import keras.backend.tensorflow_backend as KTF
from utils import get_feature, get_seq, get_logo, relu6, ABS, get_pos, hard_swish
def get_motifs(model, data_x, data_y, protein_name)... | hehew321/iDeepC | test.py | test.py | py | 4,000 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "utils.get_pos",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "utils.get_feature",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_nu... |
16465961190 | import re
import time
import jieba
import jieba.posseg as pseg
import numpy as np
import sklearn.feature_extraction.text
from scipy import sparse, io
from sklearn import preprocessing
from sklearn.decomposition import PCA
from sklearn.model_selection import train_test_split
from src import MLPTrainer
from src import S... | jmty0083/Triton | menelaus/src/main.py | main.py | py | 3,212 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.zeros",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "sklea... |
71337196519 | # merge with FP_mirror
import numpy as np
import matplotlib.pyplot as plt
import tkinter as Tk
import gui_stuff as gui
import strat_stuff as strat
gui.set_rcParams()
title = "Reflection and Transmission at a Stack"
root = Tk.Tk()
root.title(title)
def mTE(kfz,z):
return np.array([[np.cos(kfz*2*np.pi*z),np.sin(kf... | sskupin/theo_opt | stack.py | stack.py | py | 11,203 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "gui_stuff.set_rcParams",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "tkinter.Tk",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.cos",
"line_nu... |
10797232637 | import argparse
import json
import os
def read_json (filename):
with open (os.path.join (dirname, filename), 'r') as f:
return json.loads (f.read ().replace ('\'', '\"'))
# we assume that the node name starts with a letter, followed by numbers.
# emulated nodes map port 4444 to host port 8000+x.
# physical nodes... | stevenzhang124/Edge-TB | controller/dml_tool/gl_structure_conf.py | gl_structure_conf.py | py | 2,600 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.join",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 6... |
31241472043 | # 把旧的mysq数据迁移到MongoDB里面
# 这个不能提交到github上面
# python -m pwiz -e mysql -u dlrl -H localhost --password dlrl2 > testModel.py
import pymongo
from private.testModel import EmployeeResumemodel, EmployerRecruitmentmodel
job_list = EmployerRecruitmentmodel.select() # 读取旧数据
myclient = pymongo.MongoClient("mongodb://localhost... | wengshirui/pds | tools/migrateOldData.py | migrateOldData.py | py | 1,525 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "private.testModel.EmployerRecruitmentmodel.select",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "private.testModel.EmployerRecruitmentmodel",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 10,
"usag... |
28189242023 |
from selenium import webdriver
# from selenium.webdriver.chrome import service
import pyautogui as auto
import pandas as pd
import time
# from browserautomation import OpenBrowser
from selenium import webdriver
auto.FAILSAFE = False
screenWidth ,screenHeight = auto.size()
class OpenBrowser():
def start(self):
... | KUNAL932/login-automation | automation/browserautomation.py | browserautomation.py | py | 1,670 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pyautogui.FAILSAFE",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pyautogui.size",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Remote",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sele... |
965105023 | from django import forms
from django.contrib.auth.forms import UserCreationForm
from doghelp.models import Case, Video
from django.core.exceptions import ValidationError
class LoginForm(forms.Form):
username = forms.CharField(label="Username")
password = forms.CharField(label="Password", widget=forms.Password... | Krzysiekjk00/DogHelper | doghelper/doghelp/forms.py | forms.py | py | 1,877 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.forms.Form",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.forms.CharField",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.forms"... |
33795261128 | import ROOT
from math import pi, sqrt, pow, exp
import scipy.integrate
import numpy
from array import array
alpha = 7.2973e-3
m_e = 0.51099892
Z_Xe = 54
Q = 2.4578
def F(Z, KE):
E = KE + m_e
W = E/m_e
Z0 = Z + 2
if W <= 1:
W = 1 + 1e-4
if W > 2.2:
a = -8.46e-2 + 2.48e-2*Z0 + 2.... | steveherrin/PhDThesis | Thesis/scripts/make_bb_spectrum_plot.py | make_bb_spectrum_plot.py | py | 5,583 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "math.sqrt",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "math.exp",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 47,
"... |
36477971306 | # 프로그래머스_레벨 2_순위 검색
# 220811
from collections import defaultdict
from bisect import bisect_left
def similar(key1, key2):
while key1:
temp1, temp2 = key1 % 10, key2 % 10
if temp1 != temp2 and temp2 != 9: return False
else: key1 //= 10; key2 //= 10
return True
... | jeneve11/Algorithm_Study | 프로그래머스/레벨 2_순위 검색.py | 레벨 2_순위 검색.py | py | 1,558 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.defaultdict",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "bisect.bisect_left",
"line_number": 50,
"usage_type": "call"
}
] |
44958842004 | #-*- coding:utf-8 -*-
from sklearn.model_selection import train_test_split
from sklearn.naive_bayes import GaussianNB
import jpype
import os
import re
# (2017)浙0411刑初299号在哪里
class Naive_Bayes:
"""
casePerson
0: 没有出现
1: 出现case
2: 出现Person
... | ThAmeMatrix/Criminal-QA-System | text_classifier/modelProcess.py | modelProcess.py | py | 12,266 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.listdir",
"line_number": 87,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 94,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 94,
"usage_type": "attribute"
},
{
"api_name": "re.search",
"line_number": 1... |
1982333907 | try:
import PySimpleGUI as sg
except:
print('Пожалуйста установите модуль PySimpleGUI')
import images
def author_layout():
author_layout = [[sg.T('Ученик 10»А» Класса МОУ СШ №40\n Пашин Егор Романович\n Руководитель:Учитель информатики,\n Глазунова Марина Николаевна')]]
# ,[sg.Button(image_data=images.m... | McOgurcik/calc | layouts.py | layouts.py | py | 21,779 | python | ru | code | 1 | github-code | 18 | [
{
"api_name": "PySimpleGUI.T",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "PySimpleGUI.Button",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "PySimpleGUI.Button",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "PySimpleGUI.Text",... |
1482478176 | import pytest
from selenium import webdriver
from selenium.webdriver.chrome.options import Options as chrome_options
@pytest.fixture
def get_chrome_options():
options = chrome_options()
#options.add_argument('--headless') #Use --headless if you don't need browser UI
options.add_argument('--window-size=108... | spasmx/aqa_hillel_tests | selenium_tests_demoqa/conftest.py | conftest.py | py | 837 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "selenium.webdriver.chrome.options.Options",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 17,
"usage_type": "call"
},
{
... |
12041330658 | from PyQt5 import QtWidgets
from PyQt5.QtCore import Qt
from PyQt5.QtWidgets import *
import sys
from connection.connector import Connector
from qtpy import QtGui
from movement_service import MovementService
from widgets.console import Console
from widgets.render import Renderer
from widgets.stats import StatsWidget
... | baldhat/arachne | widgets/MainWindow.py | MainWindow.py | py | 2,262 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "sys.argv",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "connec... |
3414866575 | import os
import subprocess
import json
from tkinter import *
from tkinter import filedialog, messagebox
from tkinter.scrolledtext import ScrolledText
import threading
class VideoOptimizer:
def __init__(self, root):
self.root = root
self.root.title("Facebook Video Optimizer")
... | AtelierMizumi/facebook-video-upload-optimizer | script.py | script.py | py | 5,285 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.dirname",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number"... |
2222669335 | import requests
import json
def merge_response(url):
# Call the target api endpoint and receive it's content in json format
r = requests.get(url)
if r.status_code != 200:
return False
res = json.loads(r.text)
# Construct a new dict where key: priority value / value: dict with values
... | sokol7/tuneIN_homework | tunein_homework.py | tunein_homework.py | py | 793 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 10,
"usage_type": "call"
}
] |
3103079365 | import pandas as pd
import numpy as np
import datetime
from models.classification import (Perceptron, AdalineGD, AdalineSGD,
LogisticRegressionGD, KNearestNeighbors)
from models.tree import DecisionTree, RandomForest
from models.regression import LinearRegressionGD, RANSACRegressor
d... | MisterFab/BasicNumpyML | example_machine_learning.py | example_machine_learning.py | py | 3,098 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.random.permutation",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "date... |
23134648639 | from statistics import mean, stdev
from datetime import datetime
class Empenho:
nrEmpenho = 0
listDtPagamentos = []
listValoresPagamentos = []
datasPagamentosDateTime = []
scoreRegularidade = 1000
cpf = ""
cnpj = ""
nmFornecedor = ""
vlEmpenho = 0
descricao = ""
vlMes1 = 0
... | yvesemmanuel/data-mining-app | static/scripts/Empenho.py | Empenho.py | py | 5,228 | python | pt | code | 0 | github-code | 18 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "statistics.stdev",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "statist... |
69824003879 | from typing import Dict
import numpy as np
import torch
from scipy.ndimage import gaussian_filter1d
from scipy.signal.windows import triang
from scipy.stats import pearsonr, spearmanr, gmean
def get_text_field_mask(text_field_tensors: Dict[str, torch.Tensor]) -> torch.LongTensor:
"""
Takes the dictionary of ... | YyzHarry/imbalanced-regression | sts-b-dir/util.py | util.py | py | 7,606 | python | en | code | 713 | github-code | 18 | [
{
"api_name": "typing.Dict",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "torch.Tensor",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.LongTensor",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.Storage",
... |
16618225859 | from django import forms
from django.contrib.auth.forms import UserCreationForm, UserChangeForm
from .models import User, Project
from django.forms.widgets import TextInput, Textarea, ChoiceWidget
from django.utils import timezone
from task_tracker.models import Status, Task
class CustomUserCreationForm(UserCreationFo... | PyAndrey/mysite | task_tracker/forms.py | forms.py | py | 1,535 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.contrib.auth.forms.UserCreationForm",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.forms.UserCreationForm",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "models.User",
"line_number": 11,
"usage_type": "name... |
24131839711 | from datetime import datetime
from cmk.base.plugins.agent_based.agent_based_api.v1 import Metric, Result, Service, State
from cmk.base.plugins.agent_based.robotmk_suite import (
_check_suite_execution_report,
check,
CheckParameters,
discover,
)
from cmk.plugins.lib.robotmk_parse_xml import Generator, ... | bbayersva/checkmk | tests/unit/cmk/base/plugins/agent_based/test_robotmk_suite.py | test_robotmk_suite.py | py | 9,166 | python | en | code | null | github-code | 18 | [
{
"api_name": "cmk.plugins.lib.robotmk_suite_execution_report.ExecutionReport",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "cmk.plugins.lib.robotmk_suite_execution_report.AttemptsOutcome",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "cmk.plugins.lib.rob... |
33244238839 | # -*- coding: utf-8 -*-
# It's work!
import requests
from bs4 import BeautifulSoup as BS
import codecs
import time
stop_list = ['Senior', 'Sr.']
template = '<!doctype html><html lang="en"><head><meta charset="utf-8"></head><body>'
end = '</body></html>'
session = requests.Session()
headers = {'User-Agent': 'Mozilla/5... | olegJF/parser | src/djinni_requests.py | djinni_requests.py | py | 2,383 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.Session",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "codecs.open",
"line... |
4871770670 | import requests
import datetime
from config import open_weather_token
def get_weather(city, open_weather_token):
code_to_smile = {
"Clear":"Ясно ☀",
"Clouds": "Облачно ⛅",
"Rain": "Дождь 🌨",
"Drizzle": "Дождь \U00002614",
"Thunderstorm": "Гроза \U000026A1",
"Snow"... | MuhammadyorGames/telegrambotinpython | weather.py | weather.py | py | 2,135 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "config.open_weather_token",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.fromtimestamp",
"line_number": 37,
"usage_type": "call"
},
{
"api_name":... |
71426312040 | import time
from selenium import webdriver
from selenium.webdriver.common.by import By
from webdriver_manager.chrome import ChromeDriverManager
def is_element_present(how, what):
if len(driver.find_elements(by=how, value=what)) == 0:
return False
else:
return True
driver = webdriver.Chrome(... | annezdz/Python-Masterclass---Udemy | selenium_examples/HandlingCheckBoxes.py | HandlingCheckBoxes.py | py | 1,349 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "webdriver_manager.chrome.ChromeDriverManager",
"line_number": 15,
"usage_type": "call"
},
... |
71700360360 | from binary_tree import *
import argparse
import csv
import sys
parser = argparse.ArgumentParser(description='annotate with genome loci')
parser.add_argument('input_csv', type=argparse.FileType('r'), help='final checked csv')
parser.add_argument('loci_list_csv', help='csv list of locus,start,end')
parser.add_argument(... | molmicdx/mtb-pipeline | bin/annotate.py | annotate.py | py | 1,268 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "argparse.FileType",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "argparse.FileType",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "csv.DictRead... |
7186908317 | from flask import Flask, render_template, redirect
import pymongo
import scrape_mars
client = pymongo.MongoClient('mongodb://localhost:27017')
db = client.mars_db
collection = db.mars
app = Flask(__name__)
@app.route("/")
def index():
mars = collection.find_one()
return render_template("index.html", mars ... | mkbader/web_scraping_challenge | app.py | app.py | py | 598 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "scrape_mars.scra... |
70180949480 | import math
from typing import Tuple
import noise
ZONES = {
"S": (0.0, 0.3), # Snow
"F": (0.3, 0.4), # Forest
"P": (0.4, 0.7), # Forest
"D": (0.7, 1.0) # Desert
}
def get_for_noise(noise_val):
noise_val += 1.0
noise_val /= 2.0
noise_val = max(0.00, noise_val)
noise_val = min(0.99... | aramperes/code-jam-3 | services/socket-host/game/world/terrain.py | terrain.py | py | 3,635 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.Tuple",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "noise.snoise3",
"line_number": 61,
"usage_type": "attribute"
},
{
"api_name": "math.sqrt",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "noise.snoise3",
"line_n... |
43330722024 | #!/usr/bin/env python3
# vim: set fileencoding=utf-8 :
from argparse import ArgumentParser
from calendar import timegm
from pathlib import Path
from time import sleep, strptime, time
from urllib.parse import quote
import db
import json
import os
import requests
import shelve
import sys
argparser = ArgumentParser(des... | rgrig/twitstat | fetch_tweets.py | fetch_tweets.py | py | 7,072 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "sys.stderr.write",
... |
6405331606 | import math
from argparse import ArgumentParser
from logging import warning
import pathlib
import os
import re
import shutil
import json
from pathlib import Path
def process_script(ds_name, package, file_name, id_, type_, name, known_results, path_to_results):
from evaluate_ctrl import main
key = f"{id_}_{typ... | nvanva/filimdb_evaluation | score_submissions.py | score_submissions.py | py | 3,356 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "evaluate_ctrl.main",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "logging.warning",
"line_nu... |
71969748519 | # coding: utf-8
from unipath import Path
PROJECT_DIR = Path(__file__).ancestor(3)
DEBUG = True
TEMPLATE_DEBUG = DEBUG
ADMINS = (
('Felipe Coelho', 'fcoelho.9@gmail.com'),
('Guilherme Gibertoni', 'kuramayoko10@gmail.com'),
('Cesar Milano', 'cesar.milano@gmail.com')
)
MANAGERS = ADMINS
TIME_ZONE = 'America/Sao_P... | fcoelho/wict | wict/settings/base.py | base.py | py | 2,407 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "unipath.Path",
"line_number": 5,
"usage_type": "call"
}
] |
36457379284 | from .common import *
# Heroku
import dj_database_url
# ############## DATABASES
# Heroku settings
DATABASES = {
'default': dj_database_url.config(),
}
# # ########################## AWS S3 Private Media Upload
if USE_S3:
# # ########################## AWS S3 - Settings Variable
AWS_STORAGE_BUCKET_NAME... | alclopes/ocps3task | ocp/settings/production.py | production.py | py | 1,349 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "dj_database_url.config",
"line_number": 9,
"usage_type": "call"
}
] |
39719881224 | import numpy as np
from gym.spaces import Box
from gym import ObservationWrapper
class ResizeObservation(ObservationWrapper):
r"""Downsample the image observation to a square image. """
def __init__(self, env, shape):
super(ResizeObservation, self).__init__(env)
if isinstance(shape, int):
... | AI4Finance-Foundation/FinRL-Tutorials | DQN-DDPG_Stock_Trading/gym/wrappers/resize_observation.py | resize_observation.py | py | 861 | python | en | code | 599 | github-code | 18 | [
{
"api_name": "gym.ObservationWrapper",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "gym.spaces.Box",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "cv2.resize",
... |
24242110972 | from django.shortcuts import render, redirect, get_object_or_404
from django.urls import reverse
from django.views.generic import ListView, DetailView
from .models import Item, OrderItem, Order
from django.contrib import messages
from django.utils import timezone
from django.views import View
class HomeView(View):
... | Beloved10/swiftbuy | catalog/views.py | views.py | py | 5,085 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.views.View",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "models.Item.objects.all",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "models.Item.objects",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "mo... |
40914604448 | from datetime import datetime
from typing import List
import logging
import requests
from requests.exceptions import RequestException
from bs4 import BeautifulSoup
import discord
from discord import app_commands
from discord.ext import commands
from uqcsbot.bot import UQCSBot
from uqcsbot.yelling import yelling_exemp... | UQComputingSociety/uqcsbot-discord | uqcsbot/dominos_coupons.py | dominos_coupons.py | py | 5,547 | python | en | code | 19 | github-code | 18 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "uqcsbot.bot.UQCSBot",
"line_number": 31,
"usage_type": "name"
},
{
"api_name":... |
28219173578 | from PyQt5.QtWidgets import (QWidget, QLCDNumber, QSlider, QMainWindow,
QGridLayout, QApplication, QPushButton, QLabel, QLineEdit)
from PyQt5.QtGui import *
from PyQt5.QtCore import *
from PyQt5.QtWidgets import *
import sys
from PyQt5.QtCore import Qt
# from predictsingle import predict
f... | refusereba4/GraduationProject | GUI.py | GUI.py | py | 3,369 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QGridLayout",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QLabel",
"line_number": 20,
"usage_type": "call"
},
{
"api_na... |
5703217392 | import pygame
from pygame.locals import *
from utils import my_quit
class KeyboardEvent:
def __init__(self):
self.x = 0
self.y = 0
self.game_speed = 0.5
self.disco = 0
def key_callback(self):
for event in pygame.event.get():
if event.type ... | pchartie/pyOpenGL | sources/my_class/KeyboardEvent.py | KeyboardEvent.py | py | 1,454 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pygame.event.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pygame.event",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "pygame.QUIT",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "utils.my_quit",
... |
5527259017 | import scrapy
import os
### THIS FILE IS COMPLETE
counter = 0
class imdbSpider(scrapy.Spider):
def stringGen():
toReturn = []
minUserrtg = 1.0
maxUserrtg = 1.0
BASE_STRING = 'https://www.imdb.com/search/title?title_type=feature&user_rating='
REST_OF_STRING = '... | Skumar30/MovieRating | MovieRater/Scrapers/imdb.py | imdb.py | py | 2,091 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "scrapy.Spider",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "scrapy.Request",
"line_number": 56,
"usage_type": "call"
}
] |
18887490955 | from gpiozero import LED, Button
import time
from random import uniform
from os import _exit
leftName = input("Left player, Type Name: ")
rightName = input("Right player, Type Name: ")
led = LED(4)
rightBTN = Button(15)
leftBTN = Button(14)
led.on()
time.sleep(uniform(5,10))
led.off()
def pressed(button):
if but... | JustisGuin/RaspberryPi-AboutMe | workingCode/reactionGame.py | reactionGame.py | py | 517 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "gpiozero.LED",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "gpiozero.Button",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "gpiozero.Button",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_num... |
32860803556 | from django.shortcuts import render
from realtys.models import Realty, RealtyType, Bill, RealtyManager, Usd
from django.db.models import Q
from django import template
# Create your views here.
def index(request):
title = 'Агенство недвижимости'
managers = RealtyManager.objects.all()[:3]
realtys = Realt... | Di4145/django_realty | realtys/views.py | views.py | py | 2,441 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "realtys.models.RealtyManager.objects.all",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "realtys.models.RealtyManager.objects",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "realtys.models.RealtyManager",
"line_number": 13,
"usa... |
6283832275 | import requests
import data.get_Spotify_token as get_Spotify_token
# Get top 10 most listened songs on Spotify
access_token = get_Spotify_token.get_token()
base_url = 'https://api.spotify.com/v1/'
headers = {
'Authorization': 'Bearer {}'.format(access_token)
}
featured_playlists_endpoint = \
'p... | thuvu17/slackify | data/get_most_popular_songs.py | get_most_popular_songs.py | py | 619 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "data.get_Spotify_token.get_token",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "data.get_Spotify_token",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 19,
"usage_type": "call"
}
] |
29874045612 | from collections import defaultdict
def change(s):
# '{'와 '}'를 제거한 뒤 ','단위로 잘라 리스트 반환
s = s.lstrip('{')
s = s.rstrip('}')
return s.split(',')
def solution(s):
answer = []
# 중복 방지를 위한 used dict
used = defaultdict(lambda: 0)
# s를 '},'단위로 잘라 리스트로 변환 후 각 항목 마다 change 실행
ns = list(map... | essk13/Algorithm | 01_problem/python/2022/Programmers/Programmers_64065/64065_Programmers.py | 64065_Programmers.py | py | 818 | python | ko | code | 0 | github-code | 18 | [
{
"api_name": "collections.defaultdict",
"line_number": 14,
"usage_type": "call"
}
] |
44339194948 | import random
import numpy as np
import os
from dotenv import load_dotenv
load_dotenv()
L = int(os.getenv("L"))
# Space between next car
S0 = int(os.getenv("S0"))
# Reaction time
T = int(os.getenv("T"))
# Max speed between V_MAX1 et V_MAX2 (m/s)
V_MAX1, V_MAX2 = float(os.getenv("V_MAX1")), float(os.getenv("V_MAX2"))... | meduard11/HighwayTrafficSimulator | vehicle.py | vehicle.py | py | 3,589 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 1... |
34022837818 | import logging
from typing import Dict, List, Optional, Any
from langchain.callbacks.manager import (
AsyncCallbackManagerForChainRun,
CallbackManagerForChainRun,
)
from ix.chains.callbacks import IxHandler
from langchain.chains.base import Chain
from pydantic import BaseModel
from ix.chat.models import Chat... | kreneskyp/ix | ix/chains/moderator.py | moderator.py | py | 7,877 | python | en | code | 809 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pydantic.BaseModel",
"line_number": 54,
"usage_type": "name"
},
{
"api_name": "langchain.chains.base.Chain",
"line_number": 112,
"usage_type": "name"
},
{
"api_name": "lan... |
17284673286 | import urllib.request
import json
import pprint
# write a program that:
# 1. Prompts the user for a search term
# 2. Queries Twitter for status updates based on the search term
# 3. Iterates through the resulting data dictionary and
# 4. Prints the text of the status with the most retweets,
# along with the number... | eecs110/winter2019 | course-files/lectures/lecture_11/06_twitter_data.py | 06_twitter_data.py | py | 786 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "urllib.request.request.urlopen",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "urllib.request.request",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "urllib.request",
"line_number": 15,
"usage_type": "name"
},
{
"api_nam... |
31153928690 |
from django.shortcuts import render,redirect
import app25
from .models import Product,LoginDetails
from django.contrib import messages
def showIndex(request):
qs = Product.objects.all()
return render(request,"index.html",{"data":qs,"c_len":len(request.COOKIES)})
def storeInCokkie(request):
pid = reques... | Niharika3128/Django5-6 | Project25/app25/views.py | views.py | py | 1,355 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "models.Product.objects.all",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "models.Product.objects",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "models.Product",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "dj... |
19840176047 | ###### Voice Comparison Engine ######
# imports
from sklearn.manifold import TSNE, MDS
from keras.models import load_model
from IPython.display import SVG, Audio, display
from keras.utils.vis_utils import model_to_dot
import numpy as np
import matplotlib.pyplot as plt
from keras.models import Model
from keras.layers ... | anantyash9/voice | siamese_comparator.py | siamese_comparator.py | py | 2,888 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tensorflow.ConfigProto",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "tensorflow.Session",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "keras.backend.tensorflow_backend.set_session",
"line_number": 25,
"usage_type": "call"
},
{... |
17467098322 | from store_api import app, db
from flask import jsonify
from store_api.models import Order, PostStatus, Product
@app.route("/api/admin/update_post_status_order/<order_uuid>/<int:post_status_id>")
def update_post_status_order(order_uuid, post_status_id):
order = Order.query.filter_by(order_uuid=order_uuid).first(... | grzeslaws/appStoreBackend | store_api/routes/admin/order_routes.py | order_routes.py | py | 1,103 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "store_api.models.Order.query.filter_by",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "store_api.models.Order.query",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "store_api.models.Order",
"line_number": 9,
"usage_type": "name"
... |
2827973236 | # Create a deg degree polynomial and add the bias column
def make_poly(X, deg):
n = len(X)
data = [np.ones(n)]
for d in range(deg):
data.append(X**(d+1))
return np.vstack(data).T
# Find the vector of weights
def fit(X,Y):
return np.linalg.solve(X.T.dot(X), X.T.dot(Y))
def fit_and_display(X... | IvanRado/AI | LinearRegression/overfittingex.py | overfittingex.py | py | 2,189 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.linspace",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 82,
"usage_type": "attribute"
},
{
"api_name": "numpy.sin",
"line_number": 83,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"... |
74650934438 | import os
import sys
import argparse
import numpy as np
import time
# Still TODO: optimize, write outputfile function, account for unknown words
def init_training(training_list):
'''Given a list of training files, parse through each file to create a list
of lists, where each list is a sentence. Eac... | alyssawing/HMM-PartOfSpeech-Tagging-CSC384 | tagger.py | tagger.py | py | 17,095 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "numpy.array",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "numpy.count_nonzero",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_num... |
35459284368 | import pytest
from Funciones import add_digits, fill_word
def test_sum_digits():
assert add_digits(123)==6
@pytest.mark.parametrize(
"input_number, expected",
[
(458, 17),
(920, 11),
(add_digits(5261), 5),
(8375, 23),
(add_digits(62934), ... | Nachogomez30/Programacion1 | Test_Funciones.py | Test_Funciones.py | py | 913 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "Funciones.add_digits",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "Funciones.add_digits",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pytes... |
69823998119 | from typing import Dict, Union
import pdb
import logging
from overrides import overrides
import numpy
import torch
from torch.autograd import Variable
from allennlp.data.fields.field import Field
from allennlp.data.vocabulary import Vocabulary
from allennlp.common.checks import ConfigurationError
logger = logging.ge... | YyzHarry/imbalanced-regression | sts-b-dir/allennlp_mods/numeric_field.py | numeric_field.py | py | 3,578 | python | en | code | 713 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "allennlp.data.fields.field.Field",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "numpy.ndarray",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": ... |
3959287605 | from django.conf import settings
from django.conf.urls import include, url
from django.contrib import admin
from django.contrib.auth.decorators import login_required
from website.views import (index_page, robots_txt, error_403,
error_404, error_500, favicon_ico)
from accounts.views import l... | 5w0rdf15h/asterisk-call-viewer | website/urls.py | urls.py | py | 3,138 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "django.contrib.admin.autodiscover",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "django.conf.urls.url",
"line_number": 21,
"usage_type": "call"
},
{
"api_n... |
70029223079 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
from django.conf import settings
import datetime
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('varer', '0017_salgsvare_k... | cybernetisk/internsystem | varer/migrations/0018_auto_20160128_2303.py | 0018_auto_20160128_2303.py | py | 1,341 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.swappable_dependency",
"line_number": 12,
"usage_type": "call... |
37777397331 | import sqlite3
import telegram
from telegram.ext import Updater, CommandHandler, MessageHandler, Filters
# Replace with your own token
bot = telegram.Bot(token='6280857926:AAF9I7zUDbaEE-gv0PuuT31JrALqffQ0MqE')
# Connect to the database
conn = sqlite3.connect('items.db')
c = conn.cursor()
# Create the items table if ... | thoumust/kachee | kachee.py | kachee.py | py | 3,151 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "telegram.Bot",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "telegram.ext.Updater",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "telegram.ext.CommandH... |
43395118008 | import time
from box import Box
def init_timings():
return Box({
'current_time': time.time(),
'last_time_idle': time.time(),
'last_time_swapped': time.time(),
})
def time_to_swap_games(timings):
been_8_hours_since_change = timings.current_time - timings.last_time_swapped > 60 * 6... | Benhgift/windows_gaming_kiosk | lib/timing.py | timing.py | py | 556 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "box.Box",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 9,
"usage... |
29096837188 | import json
import os
import shlex
import sys
import textwrap
import urllib.request
# External modules
import paramiko
# Flintrock modules
from .core import FlintrockCluster
from .ssh import ssh_check_output
FROZEN = getattr(sys, 'frozen', False)
if FROZEN:
THIS_DIR = sys._MEIPASS
else:
THIS_DIR = os.path.d... | mgouy-euclidanalytics/flintrock | flintrock/services.py | services.py | py | 13,544 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys._MEIPASS",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
... |
12915712549 | from client.models.game_objects.first_player import FirstPlayer
from client.models.game_objects.gorilla import Gorilla
from client.models.game_objects.ladder import Ladder
from client.models.game_objects.platform import Platform
from client.models.game_objects.princess import Princess
from client.models.game_objects.se... | dvsku/donkey-kong-drs-projekat | client/models/helper/grid_painter.py | grid_painter.py | py | 3,467 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "common.constants.SCENE_HEIGHT",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "common.constants.SCENE_GRID_BLOCK_HEIGHT",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "common.constants.SCENE_WIDTH",
"line_number": 18,
"usage_type": "n... |
12421745162 | import logging
from aiogram import Router
from aiogram.filters import Command
from aiogram.types import Message
from src.application.postman.dto import DispatchMessage
from src.application.postman.service import PostmanService
from src.application.subscribers.dto import Subscriber
from src.application.subscribers.int... | mrmamongo/botpostman | src/presentation/aiogram/router.py | router.py | py | 1,210 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "aiogram.Router",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "aiogram.types.Message",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "src.applicatio... |
16027908140 | from OANDA_Historical import *
import statsmodels.formula.api as smf
#print(api.get_instruments())
SPX = OANDA_Base(symbol='SPX500_USD', start= monthsAgo(120), end= lastDay(), granularity='D', price='M', amount=10000, ftc=0.000, ptc=0.0008, verbos=True)
DAX = OANDA_Base(symbol='DE30_EUR', start= monthsAgo(120), end= l... | JanowskiAdam/Trading_Strategies_OANDA | Correlation.py | Correlation.py | py | 977 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "statsmodels.formula.api.ols",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "statsmodels.formula.api",
"line_number": 18,
"usage_type": "name"
}
] |
16833148881 |
import json
import datetime
import time
import os
import dateutil.parser
import logging
import re
from app import get_data
import boto3
#pointing chatbot database now
logger = logging.getLogger()
logger.setLevel(logging.DEBUG)
def clean_phone_no(a):
a = re.sub('[-()!@+#$]', '', a)
a = a.replace(' ', '')
... | bryceroche/pylam | send.py | send.py | py | 2,453 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "re.sub",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_... |
1614516749 | import torch
import torch.nn as nn
import torch.nn.functional as F
from torchcrf import CRF
from w2v import load_word2vec
class BiLSTM_CRF(nn.Module):
def __init__(self,
word2seq,
char2seq,
tag2seq,
config,
num_heads=8):
... | Wang-chengfei/BiLSTM-CRF | model.py | model.py | py | 3,493 | python | en | code | 0 | github-code | 18 | [
{
"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.Embedding",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
8105083248 | from collections import defaultdict
def solution(fees, records):
answer = []
dic = defaultdict(list)
fee = [0] * 9999
for record in records:
time, num, status = record.split()
if status == "IN":
dic[num].append(time)
else:
xh, xm = dic[num][-1].split(... | jisuncho/Programmers-code | 92341.py | 92341.py | py | 1,279 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.defaultdict",
"line_number": 4,
"usage_type": "call"
}
] |
36103122588 | # -*- coding: utf-8 -*-
"""
Created on Fri Dec 30 15:59:31 2016
@author: luzhangqin
"""
import matplotlib.pylab as plt
from matplotlib.font_manager import FontProperties
from sklearn.linear_model import LinearRegression
#显示中文
font = FontProperties(fname = r'/usr/share/fonts/truetype/arphic/ukai.ttc', size = 10)
de... | TonyLDS/sklearn | 2-4.py | 2-4.py | py | 1,057 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.font_manager.FontProperties",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib.pylab.figure",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "matplotlib.pylab",
"line_number": 18,
"usage_type": "name"
},
{
"a... |
8782828829 | import messagebird
import sqlite3
import os
def fetch_contacts(conn):
cursor = conn.cursor()
cursor.execute(
"SELECT c.phone FROM contacts as c WHERE c.phone LIKE '57%' AND c.city LIKE 'Bogota' AND c.sent IS FALSE LIMIT 10")
# results = [phone.split('57')[-1] for (phone,) in cursor.fetchall()]
... | mrkaspa/msgs | msgs/sms_sender.py | sms_sender.py | py | 1,170 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.getenv",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "messagebird.client",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "sqlite3.connect",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"li... |
23506013822 | import os
from .file import *
from .transform import one_hot_encode_data, merge_splits, split_data, scale_data
from .uci import download_UCI
from .torch import get_torchvision_data
def load_data(source="local", split_vars = None, merge_before_split=False, one_hot_encode=True, **kwargs):
dataloader = select_dataloade... | siciliano-diag/data_utils | data_utils/data.py | data.py | py | 1,944 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "transform.merge_splits",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "transform.split_data",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "transform.scale_data",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "tran... |
19993393165 | """Advent of Code 2019, day 21: https://adventofcode.com/2019/day/21"""
import logging
from advent_of_code.aoc2019.intcode import IntcodeMachine
from advent_of_code.base import Solution
log = logging.getLogger("aoc")
class AocSolution(Solution[int, int]):
def __init__(self, **kwargs):
super().__init__(2... | brad-eisenhauer/advent-of-code | src/advent_of_code/aoc2019/aoc21.py | aoc21.py | py | 1,672 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "advent_of_code.base.Solution",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "advent_of_code.aoc2019.intcode.IntcodeMachine.read_buffer",
"line_number": 16,
"usage_type"... |
8979338711 | from flask_restful import Resource, abort
from app.db import db, Contract, Proposal, Challenge
from app.comm.decorators import with_poll_contract
from app.util.reqargs import with_args, Argument
from app.util.types import address
from app.util.abi_data import create_params_data
from app.util.eth_call import (
get_... | prin-r/tcrapi | app/api/voting/voting_power.py | voting_power.py | py | 2,393 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask_restful.Resource",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "app.db.db.session.query",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "app.db.Contract",
"line_number": 26,
"usage_type": "argument"
},
{
"api_name": "ap... |
13584618805 | from scrapy.dupefilters import BaseDupeFilter, referer_str
import logging
import hashlib
from scrapy.utils.python import to_bytes
class MyRFPDupeFilter(BaseDupeFilter):
"""My Request Fingerprint duplicates filter"""
def __init__(self, debug=False):
self.fingerprints = set()
self.logdupes = Tr... | guopeiming/toy-crawling | ScrapyBased/scrapyDemo/dupefilters.py | dupefilters.py | py | 1,686 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "scrapy.dupefilters.BaseDupeFilter",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "hashlib.md5",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "scrapy... |
7754232007 | import multiprocessing
import time
def depositMoney(money,lock):
for i in range(50):
lock.acquire()
money.value+=1
lock.release()
print("Deposit!")
def withdrawMoney(money,lock):
for i in range(50):
lock.acquire()
money.value-=1
lock.rele... | sabhi14/PythonBasicsHandsOn | 31_multiprocess_lock.py | 31_multiprocess_lock.py | py | 799 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "multiprocessing.Value",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Lock",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Process",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "mu... |
19512326842 | import json
import time
import datetime
def timestamp():
current_time = datetime.datetime.now()
formatted_time = current_time.strftime('%Y-%m-%d %H:%M:%S')
return formatted_time
def write_file(pairs):
try:
print(f"{timestamp()} Write pairs to file {len(pairs)} pairs")
filename = f"./pa... | britishd/collect_pairs | write_file.py | write_file.py | py | 508 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "datetime.datetime.now",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "time.time",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "json.dump",
... |
40206012715 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import sys
from tensorflow.examples.tutorials.mnist import input_data
import tensorflow as tf
FLAGS = None
# Weight and bias
def weight_variable(shape):
"""
Initialize weight matri... | knowbodynos/lightmatter | part2/part2.py | part2.py | py | 5,846 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tensorflow.truncated_normal",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "tensorflow.Variable",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "tensorflow.constant",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "t... |
32246109037 | from matplotlib import pyplot
import numpy as np
import os
import shutil
import caffe2.python.predictor.predictor_exporter as pe
from caffe2.python import (
brew,
core,
model_helper,
net_drawer,
optimizer,
visualize,
workspace,
)
# If you would like to see some really detailed initializati... | Lupino/snow-image | caffe2/mnist.py | mnist.py | py | 12,048 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "caffe2.python.core.GlobalInit",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "caffe2.python.core",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "zipfile... |
16067679701 | from functools import lru_cache
from deap import creator, base, tools, algorithms
import random
import numpy as np
import os
import logging
import dask.dataframe as dd
from csci_final_project.dataloader import filehandler
creator.create("FitnessMax", base.Fitness, weights=(1.0,))
creator.create("Individual", list, fit... | tanxiao64/2020fa-csci_final_project-tanxiao64 | csci_final_project/optimizer/ga.py | ga.py | py | 5,439 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "deap.creator.create",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "deap.creator",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "deap.base.Fitness",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "deap.base",
... |
11078450618 | import re
from bs4 import BeautifulSoup
import sys
sys.path.append("..")
from crawler import DBHelper,CrawlerHelper
from crawler.shop import MGStage
#https://www.prestige-av.com/goods/goods_list.php?mode=&mid=&sort=near&word=&count=100&page=135
pcookie={'age_auth':'1'}
def spider_goodlist():
baseurl='https://www.pr... | Cinvin/AVManager | crawler/studio/prestige.py | prestige.py | py | 5,194 | python | en | code | 19 | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "crawler.CrawlerHelper.get_requests",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "crawle... |
10629855457 | from selenium.webdriver.common.by import By
from pages.base_page import BasePage
import allure
class MainPageScooter(BasePage):
def __init__(self, driver):
self.driver = driver
logo_yandex = [By.XPATH, './/img[@alt = "Yandex"]//ancestor::a']
page_yandex = [By.XPATH, './/button[text() ="Найти"]']
... | Mary-cross1296/Sprint_4 | pages/main_page.py | main_page.py | py | 1,028 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pages.base_page.BasePage",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.common.by.By.XPATH",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.common.by.By",
"line_number": 10,
"usage_type": "na... |
71426809320 | # imports
import os, cv2, itertools, re
import keras
from keras.utils.np_utils import to_categorical
from keras.datasets import mnist
from keras.layers import Convolution2D, Dropout
from keras.models import Sequential
from keras import layers
from keras.layers import Input, Add, Dense, Activation, ZeroPadding2D... | aorursy/new-nb-3 | georgeporu_ai-exercise-6.py | georgeporu_ai-exercise-6.py | py | 8,971 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "keras.models.Sequential",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "keras.layers.Convolution2D",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "keras.layers.BatchNormalization",
"line_number": 71,
"usage_type": "call"
},
{
... |
17850447699 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from scipy.optimize import curve_fit
df = pd.read_csv('Regression\china_gdp.csv')
x_data, y_data = (df["Year"].values, df["Value"].values)
xdata = x_data / max(x_data)
ydata = y_data / max(y_data)
'''plt.plot(df[['Year']], df[['Value']], color='blu... | Dhananjayan-PN/Python-Machine-Learning | Regression/NonLinearRegression.py | NonLinearRegression.py | py | 1,051 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "scipy.optimize.curve_fit",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.p... |
32906547001 | import os
import sys
from typing import List
class Crawler:
"""
A Crawler designed to traverse a file tree and print the files contained in it.
"""
def __init__(self, target: str, extension_white_list: List[str] = [], abs_path: bool = False):
"""construct the File Crawler
Arguments:
... | jklypchak13/TrojanHorse | src/trojan/crawler.py | crawler.py | py | 1,967 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "os.path.isdir",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 31... |
11762393874 | from typing import List
class Transaction():
def __init__(self, id: int):
self.id: int = id
self.write_set: List[str] = []
self.read_set: List[str] = []
self.start_timestamp: int = 10e10
self.validation_timestamp: int = 10e10
self.finish_timestamp: int = 10e10
d... | owencwijaya/IF3140-concurrency | src/type/Optimistic/transaction.py | transaction.py | py | 3,764 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 36,
"usage_type": "name"
}
] |
4820655122 | """
2658. Maximum Number of Fish in a Grid
You are given a 0-indexed 2D matrix grid of size m x n, where (r, c) represents:
A land cell if grid[r][c] = 0, or
A water cell containing grid[r][c] fish, if grid[r][c] > 0.
A fisher can start at any water cell (r, c) and can do the following operations any number of times:
... | tkwang0530/LeetCode | 2658.py | 2658.py | py | 3,622 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 76,
"usage_type": "name"
},
{
"api_name": "unittest.TestCase",
"line_number": 102,
"usage_type": "attribute"
},
{
"api_name": "unittest.main",
"line_number": 115,
"usage_type": "call"
}
] |
46409870944 | import pygame, os, random
# My modules #
import colors, fonts, paths
from ball import PongBall
from paddle import Paddle
from difinfo import DifficultyInfo as difficulties
# The main function where everything runs #
def main():
def resetArena(pointReset):
ball.position.x = screen_Width / 2 - ball.size
... | Leather128/Pygame-Pong | main.py | main.py | py | 9,480 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "ball.position",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "ball.size",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "ball.position",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "ball.velocity",
... |
3408886708 | import pygame
import pygame.gfxdraw
import random
from variables import *
class Plant:
def __init__(self, x, y, energy):
self.x = x
self.y = y
self.energy = energy
def draw(self, screen, PLANT_COLOR, PLANT_COLOR2):
radius = max(2, min(4, int(self.energy / 20)))
pygame.g... | MartinovG/VSE_9klas_ecosystem_simulator | src/Plants.py | Plants.py | py | 1,114 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pygame.gfxdraw.filled_circle",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pygame.gfxdraw",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "pygame.gfxdraw.aacircle",
"line_number": 15,
"usage_type": "call"
},
{
"api_name... |
16458426412 | from enum import Enum
class Type(Enum):
FC = 1
ACTV = 2
POOL = 3
CONV = 4
DEPTH = 5
SEPAR = 6
GEMM = 7
LSTM = 8
class Buf(Enum):
UBUF = 1
WBUF = 2
ACCQ = 3
class Op(Enum):
LOAD_TILE = 1
GEMM_OP = 2
CONV_OP = 3
VECTOR_OP = 4
STORE_TILE = 5
STORE_FAKE... | agongee/prema_sim | layer_compiler/enum_def.py | enum_def.py | py | 488 | python | en | code | 7 | github-code | 18 | [
{
"api_name": "enum.Enum",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number": 27,
"... |
18862638210 | #!/usr/bin/env python3
# f.py is the main of FluidPyPLC project.
# This script will help you analyze your sequence.
# It will create the folders for storing your data files.
# You can copy and paste the created plc.st code into any PLC programming software.
# You can also convert the plc.st code into PLCopenXML outpu... | MrLostInTheInternet/FluidPyPLC | FluidPyPLC/f.py | f.py | py | 3,091 | python | en | code | 7 | github-code | 18 | [
{
"api_name": "pkg_resources.resource_filename",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
40563868890 | # -*- coding: utf-8 -*-
"""
Created on Mon Oct 12 22:49:38 2020
@author: lenovo
"""
#引入unittest
import unittest
#引入报告模板
import HTMLTestRunner
#引入request库
import requests
#引入json管理
import json
#测试类，继承了unittest.TestCase
class TestLHL(unittest.TestCase):
#用于初始化操作可选
def setUp(self):
#地址前缀
self.b... | wangli-wangli/python-test | python/TestLHL.py | TestLHL.py | py | 2,148 | python | zh | code | 0 | github-code | 18 | [
{
"api_name": "unittest.TestCase",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "unittest.makeSuite",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "unittest.TextT... |
35505404501 | # -*- coding: utf-8 -*-
"""
Created on Thu Aug 17 17:16:49 2023
@author: DELL
"""
import pickle
import streamlit as st
from sklearn.feature_extraction.text import TfidfVectorizer
import re
from sklearn.feature_extraction.text import ENGLISH_STOP_WORDS
from streamlit import set_page_config
# Load the saved Random Fores... | DeepeshKumarVerma/P-272_News_Authentication_NLP | P_272_Deployment.py | P_272_Deployment.py | py | 2,326 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pickle.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "sklearn.feature_extraction.text.ENGLIS... |
5718515325 | from __future__ import annotations
import typing
if typing.TYPE_CHECKING:
from collections.abc import Iterator
class BSTNode:
key: int
left: BSTNode | None
right: BSTNode | None
def __init__(
self,
key: int,
left: BSTNode | None = None,
right: BSTNode | None ... | tjf801/CSE2050 | lab9/BSTNode.py | BSTNode.py | py | 3,278 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "collections.abc.Iterator",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "collections.abc.Iterator",
"line_number": 34,
"usage_type": "name"
},
{
"api_na... |
10447449245 | import numpy
import nanopores
import matplotlib.pyplot as plt
from selectivity import selectivity, default
Qs = [-1.,-3.]
label = r"$Q = %.0f$"
default = nanopores.user_params(**default)
def avg(J):
n = len(J)
J0 = list(numpy.array(J)[n*0.2:n*0.5])
return sum(J0)/len(J0)
Javg = []
for Q in Qs:
para... | mitschabaude/nanopores | scripts/howorka/plot_selectivity.py | plot_selectivity.py | py | 1,215 | python | en | code | 7 | github-code | 18 | [
{
"api_name": "selectivity.default",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "nanopores.user_params",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "selectivity.defau... |
34375940844 | import json
from django.test import TestCase
from rest_framework import status
from rest_framework.test import APIRequestFactory, force_authenticate, APIClient, APISimpleTestCase, APITestCase
from mixer.backend.django import mixer
from users.models import Users
from .models import Todo, Projects
from .views import Tod... | rzrka/drf-fisrt-app | todo/tests.py | tests.py | py | 2,432 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.test.TestCase",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "users.models.Users.objects.create_superuser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "users.models.Users.objects",
"line_number": 15,
"usage_type": "attribute... |
7785314954 | from setuptools import setup, find_packages
with open("requirements.txt") as f:
install_requires = f.read().strip().split("\n")
# get version from __version__ variable in bank_connector_erpnext/__init__.py
from bank_connector_erpnext import __version__ as version
setup(
name="bank_connector_erpnext",
version=vers... | aerele/bank_connector_erpnext | setup.py | setup.py | py | 555 | python | en | code | 9 | github-code | 18 | [
{
"api_name": "setuptools.setup",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "bank_connector_erpnext.__version__",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "setuptools.find_packages",
"line_number": 15,
"usage_type": "call"
}
] |
26283670233 | from models.convnext_tf import get_convnext_model
from models.model_configs import get_model_config
from models import convnext
from tensorflow.keras import layers
import tensorflow as tf
import torch
import os
import argparse
import numpy as np
torch.set_grad_enabled(False)
DATASET_TO_CLASSES = {
"imagenet-1k"... | sayakpaul/ConvNeXt-TF | convert.py | convert.py | py | 8,513 | python | en | code | 98 | github-code | 18 | [
{
"api_name": "torch.set_grad_enabled",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "models.convnext.convnext_tiny",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "models.convnext",
"line_number": 20,
"usage_type": "name"
},
{
"api_nam... |
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