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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
31920261178 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Aug 4 14:59:16 2020
@author: Eric Chen, Graduate Center, City University of New York
@contact: eric.clyang521@gmail.com
"""
import os
os.chdir("/Users/eric/Desktop/paper_figure/solvation_free_energy/Tip3p_bulk")
import numpy as np
from gridData im... | EricChen521/small_mol_project_script | bulk_TSsix.py | bulk_TSsix.py | py | 1,109 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.chdir",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "gridData.Grid",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 47,... |
73944536672 | import neurals.data_generation_config as dgc
import neurals.distancefield_utils as df
import model.param as model_param
import copy
import numpy as np
import open3d as o3d
import os
from scipy.spatial.transform import Rotation as scipy_rot
import torch.utils.data
# Each file correspond to a pointcloud
class SmallData... | Ericcsr/synthesize_pregrasp | neurals/dataset.py | dataset.py | py | 6,968 | python | en | code | 8 | github-code | 1 | [
{
"api_name": "torch.utils.data.utils",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.utils.data",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "open3d.io.read_point_cloud",
"line_number": 23,
"usage_type": "call"
},
{
"api_name"... |
36694454341 | from time import time
import pennylane as qml
from scipy.optimize import minimize
import networkx as nx
from .unitaries import (
hypercube_mixer,
phase_shift,
circulant_mixer,
diagonal_pauli_decompose,
complete_eigenvalues,
)
def gen_graph(qubits, seed, prob = 0.25):
# for smaller graphs, incr... | John-J-Tanner/Quantum_Benchmarking | pennylane/benchmark/qaoa_maxcut.py | qaoa_maxcut.py | py | 7,745 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "networkx.fast_gnp_random_graph",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "networkx.fast_gnp_random_graph",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pennylane.Identity",
"line_number": 49,
"usage_type": "call"
},
{
"... |
18379379442 | from concurrent.futures import ThreadPoolExecutor
from os.path import splitext
from PIL import Image, ImageFile
from tkinter.filedialog import *
import os.path
ImageFile.LOAD_TRUNCATED_IMAGES = True
files = askopenfilenames()
def convert_image(file):
with Image.open(file) as im:
output_path = s... | Genos-Noctua/Scripts | JPEG.py | JPEG.py | py | 636 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "PIL.ImageFile.LOAD_TRUNCATED_IMAGES",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "PIL.ImageFile",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "P... |
6493966912 | from msrest.service_client import ServiceClient
from msrest import Configuration, Serializer, Deserializer
from .version import VERSION
from .operations.int_model_operations import IntModelOperations
from . import models
class AutoRestIntegerTestServiceConfiguration(Configuration):
"""Configuration for AutoRestIn... | testormoo/autorest.ansible | test/vanilla/Expected/AcceptanceTests/BodyInteger/fixtures/acceptancetestsbodyinteger/auto_rest_integer_test_service.py | auto_rest_integer_test_service.py | py | 1,664 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "msrest.Configuration",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "version.VERSION",
"line_number": 24,
"usage_type": "argument"
},
{
"api_name": "msrest.service_client.ServiceClient",
"line_number": 43,
"usage_type": "call"
},
{
"api_n... |
16166437404 | import mongoengine
ROOT_URLCONF = 'parkkeeper.urls'
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': ':memory:',
}
}
MIDDLEWARE_CLASSES = [
'django.middleware.common.CommonMiddleware',
'django.contrib.sessions.middleware.SessionMiddleware',
'django.middle... | telminov/django-park-keeper | test_settings.py | test_settings.py | py | 1,121 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "mongoengine.connect",
"line_number": 42,
"usage_type": "call"
}
] |
28410222567 | from typing import Optional
import unittest
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
class Solution:
def __init__(self):
self.global_max = float("-inf")
def postOrderTraversal(self, root: Optiona... | teimurjan/leetcode | max-path-sum.py | max-path-sum.py | py | 1,353 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "typing.Optional",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "unittest.TestCase",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "unittest.main",
"line_number": 56,
"usage_type": "call"
}
] |
6668321784 | import math
from argparse import ArgumentParser
from datetime import timedelta as delta
import numpy as np
import pytest
from parcels import (
AdvectionEE,
AdvectionRK4,
AdvectionRK45,
FieldSet,
JITParticle,
ParticleSet,
ScipyParticle,
Variable,
timer,
)
ptype = {'scipy': ScipyPar... | OceanParcels/parcels | docs/examples/example_stommel.py | example_stommel.py | py | 8,324 | python | en | code | 250 | github-code | 1 | [
{
"api_name": "parcels.ScipyParticle",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "parcels.JITParticle",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "parcels.AdvectionRK4",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "parcel... |
74579624992 | """empty message
Revision ID: 88f77742bc2d
Revises:
Create Date: 2017-07-03 13:15:12.714598
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '88f77742bc2d'
down_revision = None
branch_labels = None
depends_on = None
def upgrade():
# ### commands auto gene... | cokifigue/validateMe | migrations/versions/88f77742bc2d_.py | 88f77742bc2d_.py | py | 852 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "alembic.op.create_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integ... |
40270074978 | #!/usr/bin/python3
import os
import argparse
import time
import urllib.request
import email.mime.text
import socket
import getpass
import subprocess
def lookup_mac_vendor(mac_address):
result = ""
if mac_address:
for i in range(3):
vendor = None
try:
# Only firs... | cheretbe/notes | files/dhcp/on_dhcp_lease.py | on_dhcp_lease.py | py | 3,273 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "urllib.request.request.urlopen",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "urllib.request.request",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "urllib.request",
"line_number": 20,
"usage_type": "name"
},
{
"api_nam... |
11737051293 | from flask import jsonify, render_template
from app.device import bp, device
from app.models import DeviceModel, Project
@bp.route('/devices', methods=['GET', 'POST'])
def devices():
connected = device.get_devices()
registered = DeviceModel.query.all()
return render_template('device/devices.html', title='... | johndoe-dev/Ecodroid | app/device/routes.py | routes.py | py | 660 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "app.device.device.get_devices",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "app.device.device",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "app.models.DeviceModel.query.all",
"line_number": 9,
"usage_type": "call"
},
{
"api... |
552195300 | import pandas as pd
import tqdm
import numpy as np
import codecs
import glob
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics import accuracy_score, f1_score
from sklearn.linear_model import LogisticRegression
import random
import matplotlib.pyplot as plt
import sys
from sklearn import p... | terne/thesis | logreg_experiments/old/all_data_logistic_regression.py | all_data_logistic_regression.py | py | 10,456 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "random.seed",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "codecs.open",
"li... |
44976337574 | # -*- codeing = utf-8 -*-
# @Time : 2021/5/9 21:41
# @File ：校内赛识别图形最终版本.py
# @Software : PyCharm
import cv2 as cv
def detectShape(img):
# 查找轮廓，cv2.RETR_ExTERNAL=获取外部轮廓点, CHAIN_APPROX_NONE = 得到所有的像素点
contours, hierarchy = cv.findContours(img, cv.RETR_EXTERNAL, cv.CHAIN_APPROX_NONE)
# 循环轮廓，判断每一个形状... | ChangYu-beginner/The-visual-program | 校内赛识别图形最终版本.py | 校内赛识别图形最终版本.py | py | 3,663 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "cv2.findContours",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.RETR_EXTERNAL",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "cv2.CHAIN_APPROX_NONE",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "cv... |
27031089250 | from win10toast import ToastNotifier
import feedparser
import time
toaster = ToastNotifier()
def getNews():
url = "https://www.youm7.com/rss/SectionRss?SectionID=203" #url rss
feed = feedparser.parse("https://www.youm7.com/rss/SectionRss?SectionID=203") #Get all feed from rss
for item in feed["entries"]:... | peterramsis/RssNotify | main.py | main.py | py | 514 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "win10toast.ToastNotifier",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "feedparser.parse",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 15,
"usage_type": "call"
}
] |
38033746083 | import numpy as np
import pandas as pd
import pickle
from flask import Flask ,app ,request ,jsonify ,render_template ,url_for
app=Flask(__name__)
reg_model=pickle.load(open('regm.pkl','rb')) #load regression model
scaler=pickle.load(open('scale.pkl','rb')) #load scaling model
@app.route('/')
def home()... | sanchayvashist/boston_house | app.py | app.py | py | 1,532 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.app",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 7,
... |
6712255038 | import curses
import math
import sys
import logging as log
from pprint import pformat
class Menu:
DIRECTION_UP = 'UP'
DIRECTION_DOWN = 'DOWN'
def __init__(self, layout, border=True):
self.win = curses.newwin(layout[0],
layout[1],
... | nadr0/branch-delete | menu.py | menu.py | py | 7,999 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "curses.newwin",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "curses.color_pair",
"line_number": 104,
"usage_type": "call"
},
{
"api_name": "math.ceil",
"line_number": 145,
"usage_type": "call"
},
{
"api_name": "math.ceil",
"line_num... |
10645242083 | import tushare as ts
import numpy as np
import matplotlib.pyplot as plt
import random
import math
import datetime
import tushare as ts
import pymysql
import stock_one
# p = stock_one.oneday('sh.600123', '20150102', '20210218')
# print(p)
# exit()
starttime = '20170102'
endtime = '20210218'
all = []
a = ['SH.6002... | moon142857/TradeDoor | stock_all.py | stock_all.py | py | 2,046 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "datetime.date",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pymysql.connect",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_n... |
3890081887 | """
Created on Fri Nov 8 23:23:22 2019
@author: Pratiksha
"""
# app.py for Scara Web App
from flask import Flask, render_template, request
from data import Articles
import cv2
from pyzbar import pyzbar
app = Flask(__name__)
Articles = Articles()
S = []
@app.route('/')
def index():
return ren... | PratikshaJain37/Scara-Hack36 | app.py | app.py | py | 1,492 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "data.Articles",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "flask.render_template",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "flask.render_template... |
35131163454 | '''
The following codes are from https://github.com/d-li14/mobilenetv2.pytorch
Some helper functions for PyTorch, including:
- get_mean_and_std: calculate the mean and std value of dataset.
- msr_init: net parameter initialization.
- progress_bar: progress bar mimic xlua.progress.
'''
import errno
import o... | snudm-starlab/FALCON2 | src/imagenetutils/misc.py | misc.py | py | 2,761 | python | en | code | 40 | github-code | 1 | [
{
"api_name": "torch.utils.data.DataLoader",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "torch.utils",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "torch.zeros",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "torch.zeros"... |
10155952607 | import time
import argparse
import json
import tqdm
import torch
import numpy as np
import torch.nn.functional as F
from sklearn.metrics import roc_auc_score, f1_score
from model.model import Model
from model.data import get_data_frames, create_graph, create_hetero_graph, create_data_loaders
def train(model, optimize... | mbekmyrz/newsrec | main.py | main.py | py | 12,722 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "time.time",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "model.model.train",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "model.model",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "tqdm.tqdm",
"line_number"... |
36170840461 | import logging
from typing import List
from volatility3.framework import renderers, exceptions, interfaces
from volatility3.framework.configuration import requirements
from volatility3.framework.interfaces import plugins
from volatility3.framework.layers import intel
vollog = logging.getLogger(__name__)
class Stati... | volatilityfoundation/volatility3 | volatility3/plugins/windows/statistics.py | statistics.py | py | 3,720 | python | en | code | 1,879 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "volatility3.framework.interfaces.plugins.PluginInterface",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "volatility3.framework.interfaces.plugins",
"line_number": 12,
... |
33049652214 | from django.shortcuts import render
from trino.dbapi import connect
from trino.auth import BasicAuthentication
import pandas as pd
from core.models import Item
import numpy as np
# Create your views here.
conn = connect(host="tcp.cheerful-maggot.dataos.app",
port="7432",
auth=BasicAuthent... | ramesh-tmdc/sample | views.py | views.py | py | 2,609 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "trino.dbapi.connect",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "trino.auth.BasicAuthentication",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pan... |
42169327955 | #! /usr/bin/env python3
import os
import requests
#List all the files in /supplier-data/descriptions
for root, dirs, files in os.walk("./supplier-data/descriptions"):
#Loop through the list of description files of fruits
for file_name in files:
with open(os.path.join(root,file_name)) as file:
... | peterncs/fruit | run.py | run.py | py | 927 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.walk",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "requests.post",
"line_number": 19,... |
15578279834 | # ================================================================================
# This script instantiates the llm object with the relevant parameters
# ================================================================================
from langchain.llms import CTransformers
# Local CTransformers wrapper for Llama-2... | DeveshParagiri/sage | llm.py | llm.py | py | 521 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "langchain.llms.CTransformers",
"line_number": 7,
"usage_type": "call"
}
] |
18323604988 | import aiohttp
import urllib.parse as urlparse
from typing import Optional
from middleware.config import Settings
from middleware.exception import MiddlewareException
from middleware.external.base.application import Application as BaseApplication
class Application(BaseApplication):
@staticmethod
async def _g... | chyaoyuan/data-sync-cdc | middleware/external/schema/application.py | application.py | py | 1,365 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "middleware.external.base.application.Application",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "aiohttp.ClientResponse",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "middleware.exception.MiddlewareException",
"line_number": 15,
... |
74692201954 | #!/usr/bin/env python3
#
# CLIMPORN
#
# Prepare 2D maps (monthly) that will later become a movie!
# NEMO output and observations needed
#
# L. Brodeau, January 2019
#
import sys
import glob
#import argparse as ap
import numpy as nmp
from PIL import Image
#
# ClimPorn:
from climporn.utils import chck4f
import... | brodeau/climporn | python/scripts/mk_image_montage_agrif.py | mk_image_montage_agrif.py | py | 3,867 | python | en | code | 6 | github-code | 1 | [
{
"api_name": "glob.glob",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "climporn.utils.chck4f",
"line_number... |
32394088452 | import csv
from face import Face
data = csv.DictReader(open("fer2013/fer2013.csv"))
faces_train = []
faces_val = []
faces_test = []
for row in data:
if row.get("Usage") == "Training":
faces_train += [Face(row)]
elif row.get("Usage") == "PublicTest":
faces_val += [Face(row)]
elif row.get("U... | eshawang/Facial-Expression-Analysis | format_data.py | format_data.py | py | 439 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "csv.DictReader",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "face.Face",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "face.Face",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "face.Face",
"line_number": 15,
... |
72263561954 | """create auth tables
Revision ID: 6e0daa4be1f8
Revises: cb42b1c187d9
Create Date: 2019-09-26 09:17:12.642904
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '6e0daa4be1f8'
down_revision = 'cb42b1c187d9'
branch_labels = None
depends_on = None
def upgrade():
... | best-doctor/its_on | db/migrations/versions/6e0daa4be1f8_create_auth_tables.py | 6e0daa4be1f8_create_auth_tables.py | py | 1,439 | python | en | code | 14 | github-code | 1 | [
{
"api_name": "alembic.op.create_table",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integ... |
37897987245 | from flask import Flask
from flask import request
import urllib.request
import re
from requests_html import HTMLSession
app = Flask(__name__)
#Makes all responses plaintext
@app.after_request
def treat_as_plain_text(response):
response.headers["content-type"] = "text/plain"
return response
@app.route('/')
de... | ThatOneCamel/boxdScrape | _oldVersion/app.py | app.py | py | 1,380 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "flask.reque... |
72307539555 | from sklearn.preprocessing import normalize
from sklearn.neighbors import NearestNeighbors
from tqdm import tqdm
import os
import pickle
from datetime import datetime
if not os.path.exists("saves/crude_embeddings.pkl"):
raise ValueError("Please run --process first to generate embeddings")
else:
with open("save... | finned-tech/MEIP | model/train.py | train.py | py | 1,936 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.path.exists",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pickle.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
... |
37798492039 | import pathlib
import numpy as np
import pytest
import meshio
from . import helpers
@pytest.mark.parametrize(
"mesh",
[
helpers.empty_mesh,
helpers.tet_mesh,
helpers.hex_mesh,
helpers.tet_mesh,
helpers.add_cell_sets(helpers.tet_mesh),
],
)
@pytest.mark.parametriz... | nschloe/meshio | tests/test_flac3d.py | test_flac3d.py | py | 1,540 | python | en | code | 1,691 | github-code | 1 | [
{
"api_name": "meshio.flac3d.write",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "meshio.flac3d",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "meshio.flac3d",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "pytest.mark... |
29001110749 | import pygame
class playerProjectiles(pygame.sprite.Sprite):
def __init__(self, x):
super().__init__()
self.entity = pygame.image.load("../assets/playerbullet.png").convert_alpha()
self.rect = self.entity.get_rect()
self.rect = self.rect.move(x.rect.left+29, x.rect.top-50)
s... | wiltley/SpaceInvadersPyGame | scripts/bullet.py | bullet.py | py | 1,196 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pygame.sprite",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.load",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pygame.transform.... |
35813740191 | """
Distributor, Layout, Transform, and Transpose class definitions.
"""
import logging
from mpi4py import MPI
import numpy as np
import itertools
from collections import OrderedDict
from ..tools.cache import CachedMethod, CachedAttribute
from ..tools.config import config
from ..tools.array import prod
from ..tools.g... | DedalusProject/dedalus | dedalus/core/distributor.py | distributor.py | py | 36,686 | python | en | code | 376 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "tools.config.config",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "tools.config.config",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "tools.confi... |
30767921487 | # -*- coding: utf-8 -*-
from django.template import RequestContext
from django.http import HttpResponseRedirect
from django.contrib.auth import logout
from django.http import HttpResponse, Http404
#from django.template import Context
#from django.template.loader import get_template
from django.contrib.auth.models impo... | meoooh/Bookmarks | bookmarks/views.py | views.py | py | 9,930 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.template.RequestContext",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render_to_response",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.get_object_or_404",
"line_number": 54,
"usage_type": ... |
19267862140 | #!/usr/bin/python3
import argparse
import sys
def parse_file(f):
grammar = {
'N': [],
'Sigma': [],
'S': 'S',
'P': []
}
for i in range(3):
line = f.readline()
line = line.rstrip()
idx = line.find(' = ')
s = line[:idx]
elements = lin... | mapaaa/rdp-generator | main.py | main.py | py | 7,755 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 88,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 243,
"usage_type": "call"
}
] |
74429573154 | #!/usr/bin/env python
import os, argparse, time
import utils
from keras.models import Sequential
from keras.layers import Dense, Activation, Dropout
from keras.layers import LSTM
from keras.callbacks import ModelCheckpoint, ReduceLROnPlateau, TensorBoard
from keras.optimizers import SGD, RMSprop, Adagrad, Adadelta, Ada... | brannondorsey/midi-rnn | train.py | train.py | py | 10,546 | python | en | code | 154 | github-code | 1 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentDefaultsHelpFormatter",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "keras.models.Sequential",
"line_number": 65,
"usage_type": "call"
}... |
10565279224 | import pandas as pd
import numpy as np
import tensorflow as tf
from datetime import datetime
import statistics
# connect to db
import pymysql
import sqlalchemy
from sqlalchemy import create_engine
# misc
import random as rn
from sklearn.model_selection import train_test_split
#pipeline
from sklearn.preprocessing impor... | HBNU-SWUNIV/COME-CAPSTONE22-dashboard | 003 Code/autoEncoder/AE.py | AE.py | py | 7,821 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "mysql_auth.info",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "pymysql.connect",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pandas.read_sql",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pandas.to_numeri... |
74227210594 | import uos as os
import lcd160cr
import lcd160cr_test
import pyb
import utime as time
import widgets
from colors import *
from utils import restore_framebuffer
try:
lcd = lcd160cr.LCD160CR('XY')
except OSError:
# I might have plugged in into the other side
lcd = lcd160cr.LCD160CR('YX')
lcd.set_pen(WHITE, ... | fragmuffin/howto-micropython | examples/lcd-demo/main.py | main.py | py | 3,425 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "lcd160cr.LCD160CR",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "lcd160cr.LCD160CR",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "widgets.Button",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "utils.screenshot",... |
22448311010 | import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
from app import app
from apps import app_individual, app_aggregate
app.layout = html.Div([
dcc.Location(id='url', refresh=False),
html.Div(id='page-content')
])
index_page = html.Div([
dcc.... | saeed349/Microservices-Based-Algorithmic-Trading-System-V-2.0 | Storage/dash/index.py | index.py | py | 901 | python | en | code | 38 | github-code | 1 | [
{
"api_name": "app.app.layout",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "app.app",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "dash_html_components.Div",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "dash_core_component... |
30826854011 | from http import HTTPStatus
from typing import Dict
from aiohttp import web
from aiohttp.web import Request, Response, json_response
from botbuilder.core import (
BotFrameworkAdapterSettings,
ConversationState,
MemoryStorage,
UserState,
)
from botbuilder.core.integration import aiohttp_error_middleware... | Sako74/p10 | P10_03_chatbot/webapp/app.py | app.py | py | 4,282 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "config.DefaultConfig",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "botbuilder.core.BotFrameworkAdapterSettings",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "botbuilder.core.MemoryStorage",
"line_number": 36,
"usage_type": "call"
... |
1538771716 | import logging
import numpy as np
from src.MiniProjects.Maze.Maze import Maze
__author__ = 'frank.ma'
logger = logging.getLogger(__name__)
class MazeSolver(object):
MOVES = dict(N=(-1, 0), W=(0, 1), S=(1, 0), E=(0, -1))
found_solution = False
def __init__(self,
maze: Maze):
s... | frankma/Finance | src/MiniProjects/Maze/MazeSolver.py | MazeSolver.py | py | 1,299 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "src.MiniProjects.Maze.Maze.Maze",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "numpy.zeros",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.ch... |
892004178 | import sqlite3
import csv
get_sql = """
DELETE
FROM 'table_fees'
WHERE truck_number = ? AND timestamp = ?
"""
def delete_wrong_fees(cursor: sqlite3.Cursor, wrong_fees_file: str) -> None:
with open(f'../{wrong_fees_file}') as csvfile:
spamreader = csv.reader(csvfile, delimiter=',')
for ... | BogdanNos/PythonNosinovskiy | mod13/task2/task2.py | task2.py | py | 553 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sqlite3.Cursor",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "csv.reader",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 18,
"usage_type": "call"
}
] |
30407259914 | from fastapi import FastAPI
from controllers.routes import router
from services.services import download_and_load_data, download_and_load, clear_db_data
from apscheduler.schedulers.background import BackgroundScheduler
def poll_and_load_datasets_again():
clear_db_data()
download_and_load_data()
app = FastAP... | A-G-U-P-T-A/LoopApi | main.py | main.py | py | 684 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "services.services.clear_db_data",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "services.services.download_and_load_data",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "fastapi.FastAPI",
"line_number": 12,
"usage_type": "call"
},
{... |
32858455165 | import mysql.connector
import random
import tabulate
class Db_connection:
def __init__(self):
self.connection=mysql.connector.connect(host='localhost',
user='root',
password='123134',
... | vjkmr0898/programs | programs/clothing.py | clothing.py | py | 9,958 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "mysql.connector.connector.connect",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "mysql.connector.connector",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "mysql.connector",
"line_number": 6,
"usage_type": "name"
},
{
"api... |
30951274678 | """Main module."""
import os
from datetime import datetime
import numpy as np
from scipy.optimize import least_squares
import click
import matplotlib.pyplot as plt
from geometric_calibration.reader import (
read_img_label_file,
read_projection_hnc,
read_projection_raw,
)
from geometric_calibration.utils ... | mrossi93/geometric_calibration | geometric_calibration/geometric_calibration.py | geometric_calibration.py | py | 18,359 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "os.path.join",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "geometric_calibration.reader.read_img_label_file",
"line_number": 46,
"usage_type": "call"
},
{
"api_na... |
40091316327 | import torchvision
from torchvision import transforms
from torch.utils import data
def load_data_fashion_mnist(batch_size, resize=None, workers=4):
"""
自动下载FashionMNIST数据集，并返回数据加载器
"""
trans = [transforms.ToTensor()]
if resize:
trans.insert(0, transforms.Resize(resize))
trans = tran... | huangluyao/simple_network | simple_network/dataset/load_data.py | load_data.py | py | 1,177 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "torchvision.transforms.ToTensor",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.Resize",
"line_number": 11,
"usage_type": "call"
},
{
... |
15043765898 | from typing import List, Tuple
import pathlib
import copy
import numpy as np
import networkx as nx
from tqdm.auto import tqdm
from defdap import ebsd
from defdap.quat import Quat
from beta_reconstruction.crystal_relations import (
unq_hex_syms, hex_syms, unq_cub_syms, burg_trans
)
def calc_beta_oris(alpha_ori: ... | LightForm-group/beta-reconstruction | beta_reconstruction/reconstruction.py | reconstruction.py | py | 25,051 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "defdap.quat.Quat",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "beta_reconstruction.crystal_relations.unq_hex_syms",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "beta_reconstruction.crystal_relations.burg_trans",
"line_number": 34,
... |
26777282377 | import math
import torch
import numpy as np
from torch import autograd, optim
from torch.distributions.multivariate_normal import MultivariateNormal
import scipy.optimize
from tqdm import tqdm
def get_schedule(num, rad=4):
if num == 1:
return np.array([0.0, 1.0])
t = np.linspace(-rad, rad, num)
s ... | Lucas-Florin/dais_np | src/neural_process/dais.py | dais.py | py | 4,698 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.array",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.min",
"line_number": 1... |
4247894925 | from datetime import timedelta
from airflow import DAG
from airflow.models import Param
from airflow.operators.dummy_operator import DummyOperator
from common.operators.gce import (
StartGCEOperator,
StopGCEOperator,
CloneRepositoryGCEOperator,
SSHGCEOperator,
)
from common.utils import get_airflow_sch... | pass-culture/data-gcp | orchestration/dags/jobs/ml/algo_training_qpi.py | algo_training_qpi.py | py | 9,855 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "common.config.MLFLOW_BUCKET_NAME",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "common.config.ENV_SHORT_NAME",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "common.config.ENV_SHORT_NAME",
"line_number": 47,
"usage_type": "name"
},... |
6993276560 | import numpy as np
import matplotlib.pyplot as plt
from scipy.integrate import odeint
T = 200
h = 1e-2
t = np.arange(start=0, stop=T + h, step=h)
bet, gam = 0.15, 1 / 50
# todo: zmienic poziej na randoma
# S_pocz = np.random.uniform(0.7, 1)
S_start = 0.8
I_start = 1 - S_start
R_start = 0
N = S_start + I_start + R_sta... | Ukasz09/Machine-learning | SIR_Model_Spread_of_Disease/SIR.py | SIR.py | py | 4,130 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "numpy.arange",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.log",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.log",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 32,
... |
9191488071 | import numpy as np
import os
import argparse
#import torch
#import torch.nn as nn
from sklearn.linear_model import LinearRegression
import math
import random
from utils import *
'''
def quantize(data,pred,error_bound):
radius=32768
diff = data - pred
quant_index = (int) (abs(diff)/ error_bound) + 1
... | Meso272/NNpredictor | multilevel_selective_compress_2d_deprecated.py | multilevel_selective_compress_2d_deprecated.py | py | 24,070 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "numpy.fromfile",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 73,
"usage_type": "attribute"
},
{
"api_name": "numpy.copy"... |
29920536522 | from PyQt5.QtCore import Qt
from PyQt5.QtWidgets import QApplication, QMainWindow, QPushButton, QStackedWidget, QToolButton, QComboBox, \
QTableWidget, QTableWidgetItem, QLabel
from PyQt5.uic import loadUi
from fileDirectory import FileDirectory
class Ui(QMainWindow):
def __init__(self):
supe... | lalocho/software2 | src/PICK.py | PICK.py | py | 9,213 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "PyQt5.uic.loadUi",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QStackedWidget",
"line_number": 13,
"usage_type": "argument"
},
{
"ap... |
11646312135 | from gtts import gTTS
import wikipedia as wiki
import sys
bad_sections = ['See also', 'References', 'External links', 'Gallery']
# removes the sections which wouldn't be useful in these formats
def remove_extra(page):
new_sections = page.sections
for x in bad_sections:
if x in new_sections... | ajsebastian/audioWiki | main.py | main.py | py | 2,238 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "gtts.gTTS",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "wikipedia.page",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "wikipedia.summary",
"line_number": 63,
"usage_type": "call"
}
] |
23048697587 | import torch
from torchvision import transforms as T
from torch.optim.lr_scheduler import ExponentialLR
from PIL import Image
import os
from tqdm import tqdm
from dalle2_pytorch import DALLE2, DiffusionPriorNetwork, DiffusionPrior, Unet, Decoder, OpenAIClipAdapter, DiffusionPriorTrainer, DecoderTrainer
from dall... | goldiusleonard/Dalle2_pytorch_project | train_dalle2_from_csv.py | train_dalle2_from_csv.py | py | 7,138 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "torchvision.transforms.Compose",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.Lambda",
"line_number": 40,
"usage_type": "call"
},
{
... |
26275998182 | import json
from http.server import HTTPServer, BaseHTTPRequestHandler
from multiprocessing import active_children, Process
'''
大致原理，程序启动后，会在本地开启一个http服务。Tkinter布局助手上，点击预览后，将拖拽界面的布局转为python代码，
通过网络请求，发送到本服务，服务端接收到代码，使用exec函数执行代码。
因为exec函数，有一定危险性，如果你使用的是fork的项目，请自行检查代码后再执行。官方下载地址如下。
官方地址：https://www.pytk.net/tkinter-... | iamxcd/tkinter-helper | preview/preview-1.0.0.py | preview-1.0.0.py | py | 1,855 | python | en | code | 408 | github-code | 1 | [
{
"api_name": "http.server.BaseHTTPRequestHandler",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "json.dumps",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "multiprocessing.active_children",
"line_number": 36,
"usage_type": "call"
},
{
"api... |
28921295761 |
import pandas as pd
import random as rd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import matplotlib.cm as cm
import pickle
import random
import math
class neuron:
def __init__(self,weights):
self.weights = weights
self.outputneuron=None
self.s=... | MeryemEssalmi/Adaptive-Neural-Network-from-scrach | Neural Network code.py | Neural Network code.py | py | 11,523 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "random.random",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.dot",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "math.exp",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 49,
... |
25191930876 | from pytablewriter import MarkdownTableWriter
def readCustomVCF(fname, keep_cols):
data = []
with open(fname, 'r') as vcf:
for line in vcf:
# skip the header specification part
if line.startswith('##'):
continue
# get the header line but only keep the... | W-L/ProblematicSites_SARS-CoV2 | src/vcf2markdown.py | vcf2markdown.py | py | 2,381 | python | en | code | 45 | github-code | 1 | [
{
"api_name": "pytablewriter.MarkdownTableWriter",
"line_number": 34,
"usage_type": "call"
}
] |
38918987427 | from django.shortcuts import render , redirect
from django.contrib.auth import login
from django.contrib.auth.forms import UserCreationForm
def register(request):
#регаем нового юзверя
if request.method != 'POST':
#вывод пустой формы реги
form=UserCreationForm()
else:
#Обр... | Master-sniffer/Learning-PYTHON- | Book_1/Django/Scripts/users/views.py | views.py | py | 973 | python | ru | code | 1 | github-code | 1 | [
{
"api_name": "django.contrib.auth.forms.UserCreationForm",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.forms.UserCreationForm",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.login",
"line_number": 17,
"usag... |
40531959843 | """序列化"""
import json
"""JSON
如果我们要在不同的编程语言之间传递对象，就必须把对象序列化为标准格式，比如XML，
但更好的方法是序列化为JSON，因为JSON表示出来就是一个字符串，可以被所有语言读取，
也可以方便地存储到磁盘或者通过网络传输。
JSON不仅是标准格式，并且比XML更快，而且可以直接在Web页面中读取，非常方便。
JSON表示的对象就是标准的JavaScript语言的对象，JSON和Python内置的数据类型对应如下："""
"""JSON类型 Python类型
{} dict
[] list
"string" str
1234.56 ... | zongrh/untitled_python3 | python_io/python_serialize.py | python_serialize.py | py | 2,229 | python | zh | code | 1 | github-code | 1 | [
{
"api_name": "json.dumps",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 52,
... |
27516911233 | # -*- coding:UTF-8 -*-
def get_auth_url():
weibo_auth_url = 'https://api.weibo.com/oauth2/authorize'
redirect_url = 'http://127.0.0.1:8000/complete/weibo/'
auth_url = weibo_auth_url+'?client_id={client_id}&redirect_uri={re_url}'.format(client_id=2113796513,re_url=redirect_url)
print(auth_url)
def ge... | yuansuixin/Django | apps/utils/weibo_login.py | weibo_login.py | py | 1,282 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "requests.post",
"line_number": 14,
"usage_type": "call"
}
] |
1706775488 | from tkinter import *
from enum import Enum
## WFrame 창의 처음 위치를 나타내는 열거형
class StartPosition(Enum):
default = 0
centerScreen = 1
centerParent = 2
manual = 3
## Windows Forms를 토대로 작성한 Frame
#
# http://effbot.org/tkinterbook/
class WFrame(Frame):
## 제목 표시줄에 표시할 제목
# @var string
t... | sunghwan2789/EnglishTypingPractice | wframe.py | wframe.py | py | 3,692 | python | ko | code | 1 | github-code | 1 | [
{
"api_name": "enum.Enum",
"line_number": 5,
"usage_type": "name"
}
] |
20782775994 | import os
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from .utils import download_file_from_gdrive
# mapping network
#################
def pixel_norm(x, epsilon=1e-8):
return x * torch.rsqrt(torch.mean(torch.pow(x, 2), dim=1, keepdim=True) + epsilon)
class MappingNetwo... | tanelp/neural-obfuscator | neural_obfuscator/stylegan.py | stylegan.py | py | 12,295 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "torch.rsqrt",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.mean",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.pow",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.nn.Module",
"line_number":... |
17847187153 | # -*- test-case-name: xquotient.test.historic.test_composer5to6 -*-
"""
Create stub database for upgrade of L{xquotient.compose.Composer} from version 5
to version 6.
"""
from axiom.test.historic.stubloader import saveStub
from axiom.dependency import installOn
from axiom.userbase import LoginMethod
from xquotient.c... | rcarmo/divmod.org | Quotient/xquotient/test/historic/stub_composer5to6.py | stub_composer5to6.py | py | 711 | python | en | code | 10 | github-code | 1 | [
{
"api_name": "axiom.userbase.LoginMethod",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "axiom.dependency.installOn",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "xquotient.compose.Composer",
"line_number": 24,
"usage_type": "call"
},
{
"... |
38914409041 | # python dictonary file
from difflib import get_close_matches
from json import load
#import tkinter as tk
from tkinter import *
# loading dictionary to memory
file = open('data.json', 'r')
data = load(file)
file.close()
# fuction declaration
def translate():
output.delete(0, END)
w = entry_key.get()
w ... | rinkeshsante/ExperimentsBackup | Python Project Dictionary/app_GUI.py | app_GUI.py | py | 1,797 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "json.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "difflib.get_close_matches",
"line_number": 25,
"usage_type": "call"
}
] |
20192619756 | import pprint
from urllib import request
import requests
import pandas as pd
from _kluce import *
movie_id = 551
api_version = 3
api_base_url = f"https://api.themoviedb.org/{api_version}"
endpoint_path = f"/search/movie"
search_query = "Matrix"
endpoint = f"{api_base_url}{endpoint_path}?api_key={api_key}&query={sear... | eavf/30-days | Day132/connect.py | connect.py | py | 1,293 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 44,
"usage_type": "call"
}
] |
71975828513 | #!/usr/bin/env python3
import time
from pyftdi.spi import SpiController
from pycrc.algorithms import Crc
# ---------------------------------------------------------------------------
# DSI utilities
# ---------------------------------------------------------------------------
EOTP = [ 0x08, 0x0f, 0x0f, 0x01 ]
DSI... | esden/icebreaker-temp | nano-pmod-up5k/control.py | control.py | py | 4,883 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "pycrc.algorithms.Crc",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pyftdi.spi.SpiController",
"line_number": 80,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 101,
"usage_type": "call"
},
{
"api_name": "time.sleep"... |
73206785314 | """Support for HomeSeer light-type devices."""
import asyncio
import logging
from typing import Any
from homeassistant.components.light import (
ToggleEntity, LightEntity
)
from homeassistant.const import (
CONF_NAME, STATE_ON, STATE_OFF
)
from .command import (turn_off, turn_light_up)
_LOGGER = logging.getL... | ettingshausen/hass-micoe-bath-heater | custom_components/micoe_bath_light/light.py | light.py | py | 1,252 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "homeassistant.const.CONF_NAME",
"line_number": 24,
"usage_type": "argument"
},
{
"api_name": "homeassistant.components.light.LightEntity",
"line_number": 32,
"usage_type": "name"
... |
35253854263 | import pymongo
import yfinance as yf
from pymongo import collection
from .stock_price import get_stock_price
import os
CLIENT = pymongo.MongoClient("mongodb+srv://App:ZU5u0b56vYc7xY15@stockopositions.r5bip.mongodb.net/StockoPositions?retryWrites=true&w=majority")
DB = CLIENT.test
USER_COLLECTION = DB.get_collection('d... | Asetka/Stocko | backend_api/backend_processing/db_wrapper.py | db_wrapper.py | py | 6,000 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "yfinance.Ticker",
"line_number": 116,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 123,
"usage_type": "call"
},
{
"api_name": "stock_price.get_stock_... |
5579649281 | import keyboard
from time import time
from communication.bt_server import BT_Server
from communication.KEYBOARD_CONFIG import KEYBOARD_CONFIG_DICT, DEBOUNCE_INTERVAL
from communication.BT_CONFIG import BT_CONTROLLER_DICT
def graceful_exit(func):
def wrapper(*args, **kw_args):
try:
return func... | ankitasharma1/swarmbots | raft/controller.py | controller.py | py | 3,093 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "communication.KEYBOARD_CONFIG.DEBOUNCE_INTERVAL",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "communication.KEYBOARD_CONFIG.KEYBOARD_CONFIG_DICT",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "communication.KEYBOARD_CONFIG.KEYBOARD_CONFIG_... |
10821283659 | import argparse
import torch
import torch.nn as nn
from torch.utils import data
import numpy as np
from torch.autograd import Variable
import torch.optim as optim
import torch.backends.cudnn as cudnn
import os
import os.path as osp
from multiframe3_CoAttentionSTN import FtoFAttentionModel
import scipy.io as sio
from Po... | sa867/CoAttentionSTN | train_CoAttentionSTN_temporal.py | train_CoAttentionSTN_temporal.py | py | 17,381 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "torch.device",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.BCELoss... |
32174735176 | import os
import io
import base64
import os.path
from zipfile import ZipFile
from odoo import api, fields, models
from odoo.tools.safe_eval import safe_eval
class ExportNfe(models.TransientModel):
_name = 'wizard.export.nfe'
_description = "Exporta NF-e"
start_date = fields.Date(string="Data Inicial", re... | Trust-Code/odoo-brasil | l10n_br_eletronic_document/wizard/export_nfe.py | export_nfe.py | py | 4,275 | python | en | code | 178 | github-code | 1 | [
{
"api_name": "odoo.models.TransientModel",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "odoo.fields.Date",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "odoo.fie... |
6421783280 |
import datetime
from flask import jsonify, request, Blueprint
from flask_jwt import jwt_required, current_identity
from flasgger.utils import swag_from
from app.utils.utils import serialize, get_flag_by_id
from app.utils.validate_redflag import Validate_redflag
from app.models.redflag import Redflag
from database.inci... | PatrickMugayaJoel/IReporter-Api | app/views/redflags.py | redflags.py | py | 8,161 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.Blueprint",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "database.incidents_db.IncidentsDB",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "database.media_db.MediaDB",
"line_number": 16,
"usage_type": "call"
},
{
"api_n... |
29674277875 | import json
from astar.astar import Astar
from roblib.map import Map
import numpy as np
from roblib.datastructures import MoveCommand
from roblib.datastructures import Coordinate
from filetransfer import Filetransfer
# Path JSON
_PATH_LOCAL = "./path.json"
_PATH_REMOTE = "/home/nao/.local/share/PackageManager/apps/Flo... | tschibu/hslu-roblab-floorguide | planner.py | planner.py | py | 4,098 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "roblib.map.Map",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "astar.astar.Astar",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "roblib.datastructures.Coo... |
31929396338 | # Standalone 1.5D distributed SpMM implementation
# Largely borrowed from CAGNET
import argparse
import math
import os
import time
import torch
import torch.distributed as dist
import torch.multiprocessing as mp
from sparse_coo_tensor_cpp import spmm_gpu
comp_time = dict()
comm_time = dict()
bcast_comm_time = dict(... | alokpathy/spmm | nccl_ex.py | nccl_ex.py | py | 9,877 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "torch.cuda.synchronize",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "time.time",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "torch.cuda.synchroni... |
19444944835 | """The core module of this code base.
Includes the agent, environment, and experiment APIs.
"""
import logging
import sys
import time
from abc import ABCMeta, abstractmethod
import numpy as np
LOGGER = logging.getLogger('experiment')
LOGGER.setLevel(logging.DEBUG)
class Agent(metaclass=ABCMeta):
"""An abstr... | christopher-wolff-zz/lab-old | lab/core.py | core.py | py | 9,902 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "abc.ABCMeta",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "abc.abstractmethod",... |
19078811720 | from django.shortcuts import render
from django.http import HttpResponseRedirect
from django.db.models import Q
from django.urls import reverse_lazy
from django.views.generic import ListView
from applications.Producto.models import ProductoServicio
from applications.PaginaVenta.models import Suscripciones
from applicat... | jhonny212/portalventas | applications/Compra/views.py | views.py | py | 3,549 | python | es | code | 0 | github-code | 1 | [
{
"api_name": "django.views.generic.ListView",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "applications.Compra.models.Detalle",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "applications.Compra.models.Detalle.objects.get_carrito",
"line_number": 21,
... |
26514033503 | from multiprocessing import Process, Value, RLock
import time
start = time.time()
numa = Value('i', 0)
numb = Value('i', 0)
rlock = RLock()
def do_sth():
""" """
"""
rlock.acquire()
try:
adda()
addb()
finally:
rlock.release()
"""
with rlock:
for i in rang... | hemuke/python | 17_process_thread/31_1_multiprocess_rlock.py | 31_1_multiprocess_rlock.py | py | 1,027 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "time.time",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Value",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Value",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "multiprocessing.RL... |
27168642483 | # Databricks notebook source
# MAGIC %pip install git+https://github.com/rafa-arana/fire.git
# COMMAND ----------
# MAGIC %md
# MAGIC ---
# MAGIC + <a href="$./00.DLT-SAN-Setup">STAGE 0</a>: Setup
# MAGIC + <a href="$./00.DLT-SAN-File Ingestion with Autoloader">STAGE 0 bis</a>: File Ingestion with Autoloader
# MAGIC ... | rafa-arana/dlt-regulatory-reporting | 01.DLT-SAN-Autoloader-template.py | 01.DLT-SAN-Autoloader-template.py | py | 5,618 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "fire.spark.FireModel",
"line_number": 88,
"usage_type": "call"
},
{
"api_name": "dlt.table",
"line_number": 95,
"usage_type": "call"
},
{
"api_name": "dlt.read_stream",
"line_number": 131,
"usage_type": "call"
},
{
"api_name": "dlt.table",
"line... |
74229119712 | from typing import List
class Solution:
def eraseOverlapIntervals(self, intervals: List[List[int]]) -> int:
intervals.sort()
res = 0
prevEnd = intervals[0][1]
for start, end in intervals[1:]:
if start >= prevEnd:
prevEnd = end
else:
... | TimHung000/leetcode | 0435_nonOverlappingIntervals/main.py | main.py | py | 450 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "typing.List",
"line_number": 4,
"usage_type": "name"
}
] |
6377740088 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# ***************************************************************************
# Copyright (c) 2018 西安交通大学
# All rights reserved
#
# 文件名称：Mayavi_test.py
#
# 摘 要：数据可视化mayavi库测试文件
#
# 创 建 者：上官栋栋
#
# 创建日期：2018年11月9日
#
# 修改记录
# 日期 修改者 版本 修改内容
# --... | sgdd66/Optimization-under-Constraint | Mayavi_test.py | Mayavi_test.py | py | 18,371 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "tvtk.tools.tvtk_doc.main",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "tvtk.tools.tvtk_doc",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "tvtk.api.tvtk.CubeSource",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": ... |
22452873346 | import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from sklearn import tree, ensemble
from sklearn.model_selection import cross_val_score
from sklearn.datasets import load_breast_cancer
from sklearn.model_selection import KFold
from sklearn.tree import plot_tree
from sklearn.model_selection import t... | ken-100/edX | MachineLearning/HW01_DecisionTree_Cross-Validation.py | HW01_DecisionTree_Cross-Validation.py | py | 6,116 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sklearn.datasets.load_breast_cancer",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": ... |
39674393133 | import logging
import csv
import re
from . import Indicator
from ..interfaces import CountryPolyInterface
class WebsiteIndicator(Indicator):
"""
Indicator which detects the TLD of the website in the users profile and maps it to an area.
Note: domains such as .com, .net and .org are ignored, and only coun... | Humpheh/twied | src/twied/multiind/indicators/websiteindicator.py | websiteindicator.py | py | 1,626 | python | en | code | 11 | github-code | 1 | [
{
"api_name": "interfaces.CountryPolyInterface",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "logging.debug",... |
26055383293 | import json
import torch
import yaml
from torch.utils.data import DataLoader
from torchvision.transforms import transforms
from tqdm import tqdm
from src.data.tooth_dataset import ToothDataset
from src.model.vgg.vgg import Vgg
from src.utils.transforms import SquarePad
if __name__ == "__main__":
with open("./src... | tudordascalu/2d-teeth-detection-challenge | src/model/vgg/scripts/predict.py | predict.py | py | 2,508 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "yaml.safe_load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.device",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
... |
42595708920 | from typing import Any, Dict
from django.contrib.auth.mixins import PermissionRequiredMixin
from .exceptions import UnfoldException
class UnfoldModelAdminViewMixin(PermissionRequiredMixin):
"""
Prepares views to be displayed in admin
"""
def get_context_data(self, **kwargs) -> Dict[str, Any]:
... | unfoldadmin/django-unfold | src/unfold/views.py | views.py | py | 708 | python | en | code | 506 | github-code | 1 | [
{
"api_name": "django.contrib.auth.mixins.PermissionRequiredMixin",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "exceptions.UnfoldException",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "typing.Dict",
"line_number": 13,
"usage_type": "name"
},
... |
21372179198 |
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from webdriver_manager.chrome import ChromeDriverManager
from selenium.webdriver.chrome.options import Options
... | pdatlab/urology_journal_retriever | JournalGrabber.py | JournalGrabber.py | py | 5,308 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 20,
"usage_type": "call"
},
{
"api... |
42500434502 | from django.urls import path
from . import views
app_name = 'polls'
urlpatterns = [
# polls的首页
path('', views.IndexView.as_view(), name='index'),
# 显示第三个问题的内容，例如: /polls/2/
path('<int:pk>/', views.DetailView.as_view(), name='detail'),
# 显示第三个问题的内容回答，例如:: /polls/2/results/
path('<int:p... | cybercampus/mysite-polls | polls/urls.py | urls.py | py | 571 | python | zh | code | 0 | github-code | 1 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
31851582700 | import pprint
import re # noqa: F401
import six
from asposeslidescloud.models.math_element import MathElement
class BorderBoxElement(MathElement):
"""
Attributes:
swagger_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): ... | aspose-slides-cloud/aspose-slides-cloud-python | asposeslidescloud/models/border_box_element.py | border_box_element.py | py | 10,885 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "asposeslidescloud.models.math_element.MathElement",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "six.iteritems",
"line_number": 284,
"usage_type": "call"
},
{
"api_name": "pprint.pformat",
"line_number": 306,
"usage_type": "call"
}
] |
183727253 | import cv2
import numpy as np
import os
import svgwrite
# load image, change color spaces, and smoothing
img = cv2.imread(os.path.dirname(os.path.abspath(__file__))+"/INIAD_logo.png")
im=cv2.resize(img,(10000,10000))
im_gray = cv2.cvtColor(im, cv2.COLOR_BGR2GRAY)
retval, im_bw = cv2.threshold(im_gray, 0, 255, cv2.THR... | s1F101900723/CG | CG_python/11/11-5_4.py | 11-5_4.py | py | 2,421 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "cv2.imread",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_numb... |
30332025823 | from pathlib import Path
import shutil
CURRENT = Path(__file__).resolve().parent
ConfPath = CURRENT / ".vscode"
if ConfPath.exists():
shutil.rmtree(ConfPath)
ConfPath.mkdir()
tasks_conf = ConfPath / "tasks.json"
if False:
tasks_conf.write_text(
"""
{
"version": "2.0.0",
"tasks": [
{
... | soda92/external_sorting | generate_vscode_files.py | generate_vscode_files.py | py | 2,338 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pathlib.Path",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "shutil.rmtree",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": ... |
38940929836 | import functools
import io
import json
import logging
import mimetypes
import os.path
import re
import shutil
import urllib.parse
from typing import Dict, Type, TextIO
import yaml
from swagger_ui_bundle import swagger_ui_3_path # type: ignore[import]
from werkzeug import Response
from werkzeug.exceptions import HTTPE... | superbjorn09/checkmk | cmk/gui/wsgi/applications/rest_api.py | rest_api.py | py | 9,052 | python | en | code | null | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "typing.Dict",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "typing.Type",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "cmk.gui.exceptions.MKUserEr... |
57138372 | """
please place a file gmail_settings.py with two varialbes:
GMAIL_ACCOUNT = ""
GMAIL_PASSWORD = ""
or set the environment variables
GMAIL_ACCOUNT = ""
GMAIL_PASSWORD = ""
"""
from settings import GMAIL_ACCOUNT, GMAIL_PASSWORD
import smtplib
from email.MIMEMultipart import MIMEMultipart
from email.MIMEBase impo... | c3h3/gmaildotpy | gmail/gmail.py | gmail.py | py | 2,382 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "settings.GMAIL_ACCOUNT",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "settings.GMAIL_PASSWORD",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "smtplib.SMTP",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "email.MIM... |
71571421794 | from typing import Iterable, Optional
def main(data: Iterable[str]):
nums = [int(line) for line in data]
num_set = set(nums)
def search(num: int) -> Optional[int]:
target = 2020 - num
if target in num_set:
return target
return None
while nums:
num1 = nums.... | Lexicality/advent-of-code | src/aoc/y2020/day1.py | day1.py | py | 620 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "typing.Iterable",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 8,
"usage_type": "name"
}
] |
15685220785 | from aiogram.dispatcher import Dispatcher, FSMContext
from aiogram.types import CallbackQuery, Message
from tgbot.misc import AddChannel
from tgbot.models import Channels
async def start_add_chanel(callback: CallbackQuery) -> None:
await callback.message.edit_text('Отправте нам сылку на канал')
await AddCha... | sardor86/something_telegram_bot | tgbot/handlers/admin/add_chanel.py | add_chanel.py | py | 1,050 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "aiogram.types.CallbackQuery",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "tgbot.misc.AddChannel.get_channel_url.set",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tgbot.misc.AddChannel.get_channel_url",
"line_number": 11,
"usage_ty... |
3898644156 | import discord
import random
import os
import csv
import paralleldots
from datetime import datetime
import asyncio
#please make you have installed the packages or just run on replit
from discord_components import *
from discord.ext.commands import bot
from discord.utils import get
from discord.ext import commands, task... | Limbo-Hacks/Mr-Limbo-bot | main.py | main.py | py | 21,202 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "discord.Intents.default",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "discord.Intents",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands.Bot",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": ... |
27400999130 | from __future__ import annotations
import itertools
from abc import ABC, abstractmethod
from collections import defaultdict
from collections.abc import Iterable, Iterator
from dataclasses import dataclass, field
from typing import cast
from cognite.client.data_classes import data_modeling as dm
from cognite.client.da... | cognitedata/pygen | cognite/pygen/_core/data_classes.py | data_classes.py | py | 31,015 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "cognite.client.data_classes.data_modeling.Text",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "cognite.client.data_classes.data_modeling",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "cognite.client.data_classes.data_modeling.Boolean",... |
12752730558 | """
Convert the CSV file with the information of transfers into a directed graph that can be used for debugging.
"""
import pandas as pd
import networkx as nx
import matplotlib.pyplot as plt
# Read CSV file
csv_file = "../data/n_100_cifar10/transfers.csv"
df = pd.read_csv(csv_file)
# Create a directed graph
G = nx.Di... | devos50/decentralized-learning | scripts/convert_transfers_to_graph.py | convert_transfers_to_graph.py | py | 1,825 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "pandas.read_csv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "networkx.DiGraph",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "networkx.spring_layout",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "networkx.draw... |
33427742555 | from setuptools import setup, find_packages
########################################################################################################################
with open("README.rst", "r") as handler:
LONG_DESC = handler.read()
setup(
author="Shapelets.io",
author_email="dev@shapelets.io",
name=... | shapelets/khiva-python | setup.py | setup.py | py | 533 | python | de | code | 46 | github-code | 1 | [
{
"api_name": "setuptools.setup",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 17,
"usage_type": "call"
}
] |
32996852891 | from setuptools import find_packages, setup
third_party_dependencies = (
"Flask",
"flask-GraphQL",
"graphene_sqlalchemy",
"psycopg2",
"SQLAlchemy",
"requests",
)
tests_require = (
"nose",
)
setup(
name="slack-server-python",
version="0.1.0",
author="Richard Shen",
author_e... | ariia-git/slack-server-python | setup.py | setup.py | py | 744 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "setuptools.setup",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 23,
"usage_type": "call"
}
] |
26390497940 | from django.db import models
from django.utils.translation import gettext_lazy as _
class QuestionType(models.TextChoices):
NUMERIC = 'NUMERIC', _('Numeric')
TEXT = 'TEXT', _('Text')
DROPDOWN = 'DROPDOWN', _('Dropdown')
CHECKBOX = 'CHECKBOX', _('Checkbox')
RADIO_BUTTON = 'RADIO_BUTTON', _('RadioBut... | mehedi-shafi/simple-survey | api/survey/enums.py | enums.py | py | 495 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.db.models.TextChoices",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "django.utils.translation.gettext_lazy",
"line_number": 5,
"usage_type": "call"
},
{
... |
31317534219 | from typing import List
from scripts.faceswaplab_ui.faceswaplab_inpainting_ui import face_inpainting_ui
from scripts.faceswaplab_swapping.face_checkpoints import get_face_checkpoints
import gradio as gr
from modules import shared
from scripts.faceswaplab_utils.sd_utils import get_sd_option
def faceswap_unit_advanced_... | Navezjt/sd-webui-faceswaplab | scripts/faceswaplab_ui/faceswaplab_unit_ui.py | faceswaplab_unit_ui.py | py | 11,583 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "gradio.Accordion",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "gradio.Markdown",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "gradio.Row",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "gradio.Radio",
"line_... |
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