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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
12413589703 | # -*- coding: utf-8 -*-
"""
@author: Gallien FRESNAIS
"""
import pygame
from pygame.locals import *
# - Local - #
from App.src.pygame_test.app_settings import *
# pygame.mixer.init()
"""
Handles the events from the main pygame program
"""
def event_handler():
for event in pygame.event.get():
# if the... | gfresnais/Lucky_Number_AI | App/src/pygame_test/app_functions.py | app_functions.py | py | 3,020 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "pygame.event.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pygame.event",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "pygame.QUIT",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "pygame.KEYUP",
... |
28672032992 | import math
import gym
from gym import spaces, logger
from random import seed
from random import randint
from PIL import Image
from gym.utils import seeding
import numpy as np
from numpy import asarray
import cv2
def init_map(size, num_obs, border_size):
# Drawing a empty map
global_map = np.one... | MetalEinstein/Projects | Map_Builder/custom_map_env.py | custom_map_env.py | py | 8,308 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.ones",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "cv2.rectangle",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_... |
75127646504 | import sys
from cravat import BaseAnnotator
from cravat import InvalidData
import sqlite3
import os
from functools import reduce
class CravatAnnotator(BaseAnnotator):
"""
CravatAnnotator for the Denovo module.
Querying attributes (input_data):
chrom, pos, ref_base, alt_base
Return attributes ... | KarchinLab/open-cravat-modules-karchinlab | annotators/denovo/denovo.py | denovo.py | py | 2,269 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "cravat.BaseAnnotator",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "functools.reduce",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 79,
"usage_type": "attribute"
}
] |
24528496813 | import torch
import random
import numpy as np
from collections import deque
from game import SnakeAI,NSWE
from model import LinearQNet,QTrainer
import matplotlib.pyplot as plt
from IPython import display
Block=20
MAX_MEM=100_000
Batch_Size=1000
Learning_Rate=0.001
class Agent:
def __init__(self):
self.n... | MakisEu/SnakeAI | agent.py | agent.py | py | 5,158 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "collections.deque",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "model.LinearQNet",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "model.QTrainer",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "game.body",
"li... |
34358988987 | import SECRETS
import os
import openai
openai.organization = "org-0iQE6DR7AuGXyEw1kD4poyIg"
# openai.api_key = os.getenv(SECRETS.open_ai_api_key)
openai.api_key = SECRETS.open_ai_api_key
# print(openai.Model.list())
print("starting test")
def get_roast_str_from_username(username):
completion = openai.Completio... | Brandon-Valley/tik_live_host | src/open_ai_api_test.py | open_ai_api_test.py | py | 1,931 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "openai.organization",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "openai.api_key",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "SECRETS.open_ai_api_key",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name":... |
30181316679 | """
This code allows to compute and evaluate optimal policies for the grid environments. These optimal values are used to normalize the rewards per task.
"""
import envs, gym, argparse
from envs.water.water_world import Ball, BallAgent
if __name__ == '__main__':
# Examples
# >>> python3 test_optimal_policies.py --e... | RodrigoToroIcarte/reward_machines | reward_machines/test_optimal_policies.py | test_optimal_policies.py | py | 932 | python | en | code | 49 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "gym.make",
"line_number": 19,
"usage_type": "call"
}
] |
72609543784 | import requests
from bs4 import BeautifulSoup
import mysql.connector
from mysql.connector import Error
class ScraperBol():
lijstMetCategorien = ["video games", "nature", "photo", "sports", "tech", "beauty"]
def __init__(self):
self.connection = mysql.connector.connect(host='ID362561_suggesto.db.webhost... | ThiboVanderkam/Suggesto | v1/assets/python/scraperClass.py | scraperClass.py | py | 5,843 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "mysql.connector.connector.connect",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "mysql.connector.connector",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "mysql.connector",
"line_number": 9,
"usage_type": "name"
},
{
"api... |
38650181804 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from math import pi, sin, cos, atan, degrees
from sympy import *
from matplotlib.ticker import MultipleLocator, AutoMinorLocator
DF = True
IS_SCATTER = False
df = pd.read_csv('/Users/shetshield/Desktop/workspace/python_ws/sim_lin_bend/sim_res_1c... | shetshield/src | srm/kinematic_model.py | kinematic_model.py | py | 8,580 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "math.atan",
"line_number": 212,
"usage_type": "call"
},
{
"api_name": "math.atan",
"line_number": 217,
"usage_type": "call"
},
{
"api_name": "math.sin",
"line_number": 2... |
22784884700 | from .common import *
import numpy
import scipy
import scipy.special
import scipy.sparse
import scipy.sparse.linalg
# Datatypes
bool = bool
float16 = numpy.float16
float32 = numpy.float32
float64 = numpy.float64
uint8 = numpy.uint8
int16 = numpy.int16
int32 = numpy.int32
int64 = numpy.int64
float_fmts.update({
'... | Microno95/desolver | desolver/backend/numpy_backend.py | numpy_backend.py | py | 5,706 | python | en | code | 17 | github-code | 36 | [
{
"api_name": "numpy.float16",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "numpy.float32",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "numpy.float64",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "numpy.uint8"... |
71017122023 | from multiprocessing import Lock
import dquality.common.constants as const
from multiprocessing import Process
import importlib
from os import path
import sys
import dquality.realtime.pv_feedback_driver as drv
if sys.version[0] == '2':
import thread as thread
else:
import _thread as thread
class Result:
"... | bfrosik/data-quality | dquality/common/containers.py | containers.py | py | 10,484 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "sys.version",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "dquality.common.constants.DATA_STATUS_DATA",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "dquality.common.constants",
"line_number": 45,
"usage_type": "name"
},
... |
25628607275 | import numpy as np
import matplotlib.pyplot as plt
def plot(data, part):
x = range(1, data[:, 0].size + 1)
x2 = np.array(range(1, data[:, 0].size + 1))
mask = (data[:, 0] < 0.9196246) & (data[:, 1] > 0.919663)
y_min = np.maximum(data[:, 1], 0.9196246)
y_max = np.minimum(data[:, 0], 0.919663)
i... | tronyaginaa/math_statistics | lab3/interval.py | interval.py | py | 939 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.array",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.maximum",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.minimum",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.any",
"line_number": 1... |
28440101289 | from tensorboardX import SummaryWriter
from multiprocessing import current_process
from .abstract_writer import AbstractWriter
from .helpers import add_value_wrapper
from ..helpers import concurrent
class TensorboardWriter(AbstractWriter):
def __init__(self, use_hdf_hook=True, **kwargs):
AbstractWriter._... | martius-lab/cee-us | mbrl/allogger/writers/tensorboardwriter.py | tensorboardwriter.py | py | 2,331 | python | en | code | 11 | github-code | 36 | [
{
"api_name": "abstract_writer.AbstractWriter",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "abstract_writer.AbstractWriter.__init__",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "abstract_writer.AbstractWriter",
"line_number": 11,
"usage_type": "... |
74207610663 | from turtle import title
from flask import Blueprint, render_template, request, session, redirect, flash
import mysql.connector
from webappfiles import dbconnect
from datetime import datetime
import os
views = Blueprint('views', __name__)
cur, con = dbconnect.get_connection()
#referring to the default page via the ... | yelenaM4/Mohandyman | webappfiles/views.py | views.py | py | 7,945 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Blueprint",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "webappfiles.dbconnect.get_connection",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "webappfiles.dbconnect",
"line_number": 12,
"usage_type": "name"
},
{
"api_na... |
11844140747 | import configparser
import csv
import os
# Params: abs file path, file section and its key
def get_config_value(conf_file, section, key):
config = configparser.ConfigParser()
config.read(conf_file)
return config[section][key]
def get_tickers(table, fn):
dirname = os.path.dirname(__file__)
path ... | xka155/PFF | core/utils/config.py | config.py | py | 563 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "csv.reader",
... |
75263417065 | from dataminer.file import File
from dataminer.processor import PROCESSORS, Processor
from dataminer.extractor import EXTRACTORS
from pathlib import Path
from fnmatch import fnmatchcase
import os
import yaml
import time
CONFIG = {}
def load_config(path: Path):
global CONFIG
with open(path, "rb") as fd:
... | ReplayCoding/tf2-dataminer | dataminer/build.py | build.py | py | 2,671 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pathlib.Path",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "yaml.safe_load",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "fnmatch.fnmatchcase",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"l... |
8635247821 | from django.urls import path
from . import apis
urlpatterns_api_tables = [
path('table-list/', apis.TableListAPI.as_view()),
path('monthly-tables/', apis.MonthlyTableListAPI.as_view()),
path('main-page/', apis.MainPageAPI.as_view()),
path('make-log/', apis.MakeTableLogAPI.as_view()),
path('search/'... | hanoul1124/healthcare2 | app/tables/urls.py | urls.py | py | 357 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
22766444587 | from flask import Blueprint, render_template, url_for, request, redirect, flash, make_response
from flask_login import login_required, current_user
from models import * # import database details
from sqlalchemy import or_
import matplotlib.pyplot as plt
import io
import base64
import sqlite3
# creating bluep... | Satyajay2020/College_Project | analytics.py | analytics.py | py | 1,109 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Blueprint",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyp... |
28833400649 | import time
from machine import Pin
from discharge_stats import DischargeStats
import logging
log = logging.getLogger(__name__)
log.setLevel(logging.DEBUG)
AUTO_DISCHARGE = False
class Channel:
def __init__(
self,
channel,
discharge_pin,
leds_object=None,
temperature_sens... | koalacreations/kCharge-firmware | kCharge-firmware/channel.py | channel.py | py | 5,242 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "machine.Pin",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "machine.Pin.OUT",
... |
74647178343 | import logging
import os
from wafl.connectors.bridges.llm_task_extractor_bridge import LLMTaskExtractorBridge
from wafl.extractors.dataclasses import Answer
_path = os.path.dirname(__file__)
_logger = logging.getLogger(__file__)
class TaskExtractor:
def __init__(self, config, interface, logger=None):
se... | fractalego/wafl | wafl/extractors/task_extractor.py | task_extractor.py | py | 1,268 | python | en | code | 6 | github-code | 36 | [
{
"api_name": "os.path.dirname",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "wafl.connectors.bridges.l... |
485015950 | from PIL import Image
import time
from libsvm.svmutil import svm_predict, svm_train
import numpy as np
import sys
import pandas as pd
from libsvm.svm import *
from libsvm.svmutil import *
train_file = '/Users/aparahuja/Desktop/IITD/ML/Assignment 2/Q2/mnist/train.csv'
test_file = '/Users/aparahuja/Desktop/IITD/ML/Assig... | AparAhuja/Machine_Learning | Naive Bayes and SVM/Q2/multi_c.py | multi_c.py | py | 4,313 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.argv",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_num... |
74839486503 | from lxml import etree
import pandas
def getdata(name , indx):
allarr = []
f = open(name, encoding="utf-8")
# 输出读取到的数据
text = f.read()
f.close()
htmll = etree.HTML(text)
arr = []
arr.append(indx)
name = htmll.xpath('//div[@class="Blockreact__Block-sc-1xf18x6-0 Flexreact__Flex-sc-1... | chenqiuying1023/opensea-supergucci | handletocsv.py | handletocsv.py | py | 2,353 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "lxml.etree.HTML",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pandas.DataFrame",
"line_number": 54,
"usage_type": "call"
}
] |
33596607925 | import sys
import numpy as np
import pandas as pd
#from agents.policy_search import PolicySearch_Agent
from agents.agent import DDPG
from task import Task
num_episodes = 1000
target_pos = np.array([0., 0., 100.])
task = Task(target_pos=target_pos)
agent = DDPG(task)
for i_episode in range(1, num_episodes+1):
sta... | AndyClouder/ML | RL-Quadcopter-2/project.py | project.py | py | 817 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "numpy.array",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "task.Task",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "agents.agent.DDPG",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "task.step",
"line_number":... |
29613368843 | import os,random,warnings,time,math
import torch
import torch.nn as nn
from dataloader.data_loader import prepare_dataset, _collate_fn
from base_builder.model_builder import build_model
from dataloader.vocabulary import KsponSpeechVocabulary
from omegaconf import OmegaConf
from tensorboardX import SummaryWriter
... | jungwook518/WOOK_Challenge | test.py | test.py | py | 2,663 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.environ",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "torch.device",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
... |
11747758050 | import streamlit as st
import numpy as np
import pandas as pd
st.title('Steamlit 基礎')
st.write('Hello World!')
st.write('I love World')
df = pd.DataFrame({
'1列目': [1,2,3,4],
'2列目': [10,20,30,40]
})
st.dataframe(df.style.highlight_between(axis=1), width=300,height=150)
df_1 = pd.DataFrame(
np.random.rand(10... | tetsukira/iris_streamlit | main.py | main.py | py | 1,489 | python | ja | code | 0 | github-code | 36 | [
{
"api_name": "streamlit.title",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "streamlit.write",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "streamlit.write",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"... |
7810152186 | import sys
import argparse
import random
import time
import numpy as np
import server.common.compute.diffexp_generic as diffexp_generic
from server.common.config.app_config import AppConfig
from server.data_common.matrix_loader import MatrixDataLoader
def main():
parser = argparse.ArgumentParser("A command to t... | chanzuckerberg/cellxgene | test/performance/run_diffexp.py | run_diffexp.py | py | 3,548 | python | en | code | 528 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "server.common.config.app_config.AppConfig",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "server.data_common.matrix_loader.MatrixDataLoader",
"line_number": 35,
... |
14257608746 | import csv, os, glob, google_trans_new
from tqdm import tqdm # sweet progress bar
#==============================================================================
def get_lang():
"""
Purpose:
gets language to translate to from user
Dependencies:
google_trans_new
Argument:
None
... | mcheffer/xml_translator | xml_translator.py | xml_translator.py | py | 4,817 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "google_trans_new.LANGUAGES",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "glob.glob",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "os.remove",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "os.remove",
"... |
20160442598 | from superlink import security
import mysql.connector as sqltor
from tabulate import tabulate
security.security_init() #Starts monitoring people by asking username/password
secure = security.isSecured() #Boolean
#_main_
if secure==True:
conn = sqltor.connect(host="localhost", user="root", passwd="root"... | Project-CS-2022/ProjCS-2022-02-08-Final | CS Proj/Project/collaborators.py | collaborators.py | py | 1,556 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "superlink.security.security_init",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "superlink.security",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "superlink.security.isSecured",
"line_number": 6,
"usage_type": "call"
},
{
"api... |
18291729121 | from PIL import Image
import numpy as np
def calculate_apl(filename):
"""Calculate the average picture level (APL) from an image.
Keyword arguments:
filename -- path of image
"""
# load the image
image = Image.open(filename)
# convert image to numpy array
data = np.asarray(image)
... | jdbremer/scripts | APL.py | APL.py | py | 698 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "PIL.Image.open",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "numpy.asarray",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.average",
"line_numb... |
1817846315 | #! /bin/python
# gsheet flask entry handler
#
# @file: gsheet
# @time: 2022/01/26
# @author: Mori
#
import flask
from service.gsheet import (
init_credentials,
compelete_worksheet,
reading_worksheet,
read_wks_from_google_sheet,
)
SHEET_ID = "1vXqHdA6RTD9cMMv8CvRQMW-jM9GSajAZOVcdJMwEFDM"
WKS_TITLE = "... | moriW/auto_firebase | backend/web/gsheet.py | gsheet.py | py | 1,147 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "service.gsheet.init_credentials",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "service.gsheet.read_wks_from_google_sheet",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "service.gsheet.compelete_worksheet",
"line_number": 28,
"usage_... |
20450214874 | import singleRepoStats
import datetime
import pandas as pd
import featureMakers
def getPredictionsTrace(repoString, tend = datetime.date.today()):
weeklyData = singleRepoStats.getRepoWeeklyData(repoString)
weeklyTotal = weeklyData.pivot(index='week_start', columns='author_login', values='commits_num').sum(axis=1)... | gauthamnair/repopulse | predictionsVisualizer.py | predictionsVisualizer.py | py | 1,069 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "datetime.date.today",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "singleRepoStats.getRepoWeeklyData",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": ... |
1607792294 | from pdfminer.converter import PDFPageAggregator
from pdfminer.layout import LAParams
from pdfminer.pdfparser import PDFParser, PDFDocument
from pdfminer.pdfinterp import PDFResourceManager, PDFPageInterpreter
# from pdfminer.pdfdevice import PDFDevice
# 获取需要读取的PDF文档对象
pdfFile = open("一种折叠屏上使用的付款码使用方式.pdf", "rb... | BianDongLei/study_demo | Python/PythonDemo/PythonTest/pdfreader.py | pdfreader.py | py | 1,196 | python | zh | code | 0 | github-code | 36 | [
{
"api_name": "pdfminer.pdfparser.PDFParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pdfminer.pdfparser.PDFDocument",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pdfminer.pdfinterp.PDFResourceManager",
"line_number": 19,
"usage_type": "cal... |
2556587569 | from bs4 import BeautifulSoup
import requests
from time import sleep
import re
from collections import OrderedDict
from utils import save_csv , URL_RESOURCES
# Separar chamadas de cada página usando asyncio
def get_parsed_content(url):
content = requests.get(url).content
parsed_content = BeautifulSoup(co... | Marlysson/craw | core/resources/crawlers/countries_infos.py | countries_infos.py | py | 1,950 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"... |
34879164954 | import pyvisa as visa
import time
from datetime import datetime
import numpy as np
import pandas as pd
import matplotlib
matplotlib.use("TkAgg")
import matplotlib.pyplot as plt
plt.rcParams['animation.html'] = 'jshtml'
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
from matplotlib.figure impo... | DbIXAHUEOKEAHA/LPI_RAS | GPIB_window.py | GPIB_window.py | py | 7,233 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.use",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "serial.... |
15685242927 | import pygame
import glob
class Player(pygame.sprite.Sprite):
def __init__(self):
super().__init__()
self.player_walk_right = []
self.player_walk_left = []
self.player_walk = self.player_walk_left
for player_frame in glob.glob('Static/Character/walk_right/*.png'):
... | SlimeyTurtles/GameJam1 | player.py | player.py | py | 1,900 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pygame.sprite",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "glob.glob",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pygame.image.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"lin... |
19088343099 | from django.shortcuts import render_to_response
from django.http import HttpResponseRedirect
from django.core.urlresolvers import reverse
from django.views.generic.simple import direct_to_template
from django.template import RequestContext
from images.models import Image
from images.forms import ImageForm
def images_a... | queensjournal/queensjournal.ca | apps/images/views.py | views.py | py | 2,225 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "django.http.HttpResponseRedirect",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "images.forms.ImageForm",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "images.models.Image",
"line_number": 17,
"usage_type": "call"
},
{
"api_n... |
18924484365 | import pytest
from base.webdriverfactory import WebDriverFactory
from pages.home.login_page import LoginPage
@pytest.yield_fixture()
def setUp():
print("Running method level setUp")
yield
print("Running method level tearDown")
@pytest.yield_fixture(scope="class")
def oneTimeSetUp(request, browser):
p... | PacktPublishing/-Selenium-WebDriver-With-Python-3.x---Novice-To-Ninja-v- | CODES/S31 - Automation Framework -_ Practice Exercise/1_conftest.py | 1_conftest.py | py | 976 | python | en | code | 11 | github-code | 36 | [
{
"api_name": "pytest.yield_fixture",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "base.webdriverfactory.WebDriverFactory",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pages.home.login_page.LoginPage",
"line_number": 17,
"usage_type": "call"
},... |
17453339669 | import torch.nn as nn
import torch.nn.functional as F
import torch
import numpy as np
def get_fpn_sf_global(num_classes, mode):
return FPN_SF(num_classes, expansion=4, mode=mode)
def get_fpn_sf_local(num_classes, mode):
return FPN_SF(num_classes, expansion=1, mode=mode)
class FPN_SF(nn.Module):
def _... | yida2311/OSCC_SF | models/fpn_semantci_flow.py | fpn_semantci_flow.py | py | 8,230 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_nu... |
2945906050 | import streamlit as st
import math
st.title("Caesar Cipher")
message = st.text_input("Enter the plaintext: ")
key = math.floor(st.number_input("Enter the secret key: "))
def CaesarCipher(message: str, key: int) -> str:
if not message:
return "Please enter a message."
key %= 26
val =... | GowthamNats/CaesarCipher | CaesarCipher.py | CaesarCipher.py | py | 954 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "streamlit.title",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "streamlit.text_input",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "math.floor",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "streamlit.number_input",... |
4084437791 | """
Start with
streamlit run ./src/streamlit_app.py
"""
import datetime
import logging
import streamlit as st
import numpy as np
from models import train_model as tm
import visualization.visualize as vis
from preprocessing.pipeline import get_preprocessing_pipeline
from filehandler.load_input import l... | BerndSaurugger/SaveBread | src/streamlit_app.py | streamlit_app.py | py | 6,014 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "streamlit.set_page_config",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "filehandler.load_input.load_file",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "filehandler.load_input.load_file",
"line_number": 27,
"usage_type": "call"
}... |
74267287785 | # -*- coding: utf-8 -*-
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,... | line/line-bot-sdk-python | examples/fastapi-echo/main.py | main.py | py | 2,424 | python | en | code | 1,739 | github-code | 36 | [
{
"api_name": "os.getenv",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 45,
"u... |
14980635082 | import cv2
import os
import Predict as p
subjects = ["", "Ranbir", "Elvis Presley","Change it with your name"]
#load test images
test_img1 = cv2.imread("test-data/1.1.jfif")
test_img2 = cv2.imread("test-data/1.2.jfif")
test_img3 = cv2.imread("test-data/1.3.jpg")
#perform a prediction
predicted_img1 =... | ankitvarma604/Face-Detection | face_detection.py | face_detection.py | py | 693 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "cv2.imread",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "Predict.predict",
"line_number": ... |
3195540576 | import requests
import re
#Obtendo html
nothing = 44827
divide = False
while nothing:
print(f'----------------------------------------\ncurrent nothing is: {nothing}')
url = f"http://www.pythonchallenge.com/pc/def/linkedlist.php?nothing={nothing}"
html = requests.get(url).text
print(html)
numbers =... | TassioS/Python-Challenge | 4.py | 4.py | py | 560 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 12,
"usage_type": "call"
}
] |
13899195903 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from math import e
import seaborn as sn
from sklearn.metrics import confusion_matrix
from pretty_confusion_matrix import pp_matrix_from_data
# Ryan Filgas
# Machine learning
def get_distance(a,b,c,d):
return pd.DataFrame((a-b)**2 + (c-d)**2)... | rfilgas/ML-AI-CV | ML-K-Means-Classification-Gaussian/kmeans.py | kmeans.py | py | 3,690 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "pandas.DataFrame",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_... |
139802964 | import os
import sys
import logging
from datetime import datetime
from mongoengine.errors import ValidationError
sys.path.insert(1, os.path.join(os.getcwd(), '../', 'src'))
from flaskapp.model import User
logger = logging.getLogger()
def create_user():
new_user = User(lastAccess=datetime.utcnow(), documents=[]... | bangjh0730/asdf | src/flaskapp/user.py | user.py | py | 2,029 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.path.insert",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
33512502317 | from math import sqrt, fabs
import numpy as np
import pandas as pd
from sklearn.preprocessing import StandardScaler
import matplotlib.pyplot as plt
from numpy import genfromtxt
# Grid configurations
plt.grid(True, linewidth=0.2, c='k')
def get_near_psd(A_matrix):
A_sym = (A_matrix + A_matrix.T) / 2
eigval, ... | optimization-for-data-driven-science/RIFLE | RIFLE_via_ADMM/ADMM_Synthetic.py | ADMM_Synthetic.py | py | 17,963 | python | en | code | 8 | github-code | 36 | [
{
"api_name": "matplotlib.pyplot.grid",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "numpy.linalg.eigh",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.lina... |
23115996703 | import torch
from NAQS import NAQS, intial_state
from lnZ_2d import TensorSampling, HonNN
import numpy as np
from scipy.linalg import sqrtm
from scipy import sparse
import csv
import time
def learning(model, model0, optimizer, loss_func, epoch_start, epoch_end, batch_size, my_device, beta=1.0, memo='init', save... | Sixuan00/Free-Energy-NN | 2D/New Method/main.py | main.py | py | 15,844 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "time.time",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.no_grad",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "torch.no_grad",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": ... |
36505762158 | import numpy as np
import matplotlib.pyplot as plt
print('Enter n')
n = int(input())
print('Enter 0 if Left Riemann Sum')
print('Enter 1 if Midpoint Riemann Sum')
print('Enter 2 if Right Riemann Sum')
i = int(input())
f = lambda x: x ** 2
a, b = 1, 2
dx = 1 / n
x_left = np.linspace(a, b - dx, n)
x_midpoint = np.linspa... | alekseevavlada/Laba_Math | main.py | main.py | py | 1,871 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.linspace",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_nu... |
25364145372 | import cv2 as cv
import numpy as np
'''
Tranformação geometrica:
Rotação:
>getRotationMatrix2D(center, angle, scale) -> Obtem uma matriz de rotação.
==>center -> Indica o centro da imagem (X, Y)
==>angle -> Define o ângulo desejado para rotacionar [0, 360]
==>scale -> Escala para imagem
>warpAffine(src, matriz, dsize)... | abelsco/PyExerciciosOpencv | transformacaoGeo.py | transformacaoGeo.py | py | 1,210 | python | pt | code | 0 | github-code | 36 | [
{
"api_name": "cv2.imread",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cv2.getRotationMatrix2D",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "cv2.warpAffine",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"l... |
12233028834 | from keras.models import Sequential
from keras.layers import Dense, LSTM, Dropout
import os
import tensorflow as tf
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import time
from datetime import date
from pandas_datareader import data as pdr
import yfinance as yf
yf.pdr_override()
i... | markb2575/AI-Stock-Predicter | predict-weekly/weekly.py | weekly.py | py | 4,674 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "yfinance.pdr_override",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "datetime.date.today... |
21150674567 | from django.shortcuts import render, get_object_or_404, get_list_or_404
from django.http import HttpResponseRedirect, Http404
from django.urls import reverse
from django.contrib import messages
# import model from another module
# import Users model from authentication module
from authentication.models import Users, ... | Optisoftdev/S5 | administrator/views.py | views.py | py | 2,765 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.shortcuts.get_object_or_404",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "models.Schools",
"line_number": 18,
"usage_type": "argument"
},
{
"api_name": "django.shortcuts.render",
"line_number": 21,
"usage_type": "call"
},
{
"api... |
19036931812 | import logging
import zmq
from cifsdk.actor.manager import Manager as _Manager
from cifsdk.actor import Actor as Enricher
from .constants import TRACE, ENRICHER_ADDR, ENRICHER_SINK_ADDR, \
LOGLEVEL
logger = logging.getLogger(__name__)
logger.setLevel(LOGLEVEL)
if TRACE:
logger.setLevel(logging.DEBUG)
clas... | csirtgadgets/cif-v5 | cif/enricher/manager.py | manager.py | py | 765 | python | en | code | 61 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "constants.LOGLEVEL",
"line_number": 11,
"usage_type": "argument"
},
{
"api_name": "constants.TRACE",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "logging.DEBU... |
33628626994 | from django.http.response import HttpResponse
from django.shortcuts import redirect, render
from django.contrib import messages
from .models import *
# Create your views here.
def index(request):
#put in something to see if the user is already logged in
if "user" in request.session:
context ={
... | chatbot6000/Troop44 | forumapp/views.py | views.py | py | 5,835 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.shortcuts.render",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 23,
"usage_type": "call"
},
{
"api_name"... |
36652176172 |
"""
This is meant to be executed using mpirun. It is called as a subprocess
to run an MPI test.
"""
if __name__ == '__main__':
import sys
import os
import traceback
from mpi4py import MPI
from testflo.test import Test
from testflo.cover import setup_coverage, save_coverage
from testflo.... | naylor-b/testflo | testflo/mpirun.py | mpirun.py | py | 1,731 | python | en | code | 8 | github-code | 36 | [
{
"api_name": "testflo.qman.get_client_queue",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "testflo.cover.setup_coverage",
"line_number": 25,
"usage_type": "call"
},
{
"api_na... |
4897008783 | from django.contrib.auth.base_user import AbstractBaseUser
from django.contrib.auth.models import Group
from django.contrib.auth.models import PermissionsMixin
from django.core.exceptions import ValidationError
from django.core.validators import FileExtensionValidator
from django.core.validators import RegexValidator
f... | veresen01/django-shop | ___shop___/app_users/models.py | models.py | py | 2,768 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.contrib.auth.base_user.AbstractBaseUser",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.models.PermissionsMixin",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "django.core.validators.FileExtensionValidator",
"l... |
13989507368 | from collections import deque
class Solution:
def averageOfLevels(self, root):
queue = deque([(root, 0)])
prev_lev = -1
sum_lev = 0
cnt_lev = 0
avg_lev = []
while queue:
node, lev = queue.popleft()
if lev != prev_lev:
if cnt_le... | dariomx/topcoder-srm | leetcode/zero-pass/facebook/average-of-levels-in-binary-tree/Solution.py | Solution.py | py | 716 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "collections.deque",
"line_number": 5,
"usage_type": "call"
}
] |
74572677542 | # Implement user-defined window size for the play. For example, an user
# could use a keyboard to input different values of widths and heights.
# Accordingly, the screen will display in different sizes regarding the user's input.
import cv2
print(cv2.__version__)
cam = cv2.VideoCapture(0)
width = int(input('Desired w... | Gabrielmbl/csci380 | lab3/lab3b_gl.py | lab3b_gl.py | py | 623 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "cv2.__version__",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.CAP_PROP_FRAME_WIDTH",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "cv2... |
22530241228 | from itertools import zip_longest
from typing import Optional
import numpy as np
import pytest
import gym
from gym.spaces import Box, Graph, utils
from gym.utils.env_checker import data_equivalence
from tests.spaces.utils import TESTING_SPACES, TESTING_SPACES_IDS
TESTING_SPACES_EXPECTED_FLATDIMS = [
# Discrete
... | openai/gym | tests/spaces/test_utils.py | test_utils.py | py | 3,718 | python | en | code | 33,110 | github-code | 36 | [
{
"api_name": "gym.spaces",
"line_number": 59,
"usage_type": "attribute"
},
{
"api_name": "typing.Optional",
"line_number": 59,
"usage_type": "name"
},
{
"api_name": "gym.spaces.utils.flatdim",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "gym.spaces.u... |
36860255897 | __author__ = 'Jonny'
__date__ = '2018-03-07'
__location__ = '西安'
# -*- coding: utf-8 -*-
import time
import login
import check
import requests
import station
import booking
#---------------------------- 登录账户--------------------------------------------------
def logIn(request):
state = 1
while(state != 0):
... | JonnyLe/Python-12306- | 12306.py | 12306.py | py | 3,866 | python | zh | code | 0 | github-code | 36 | [
{
"api_name": "login.login",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "check.ticket_infor",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "station.sel_station",
"... |
3533175991 | import gym
from random import sample
from keras import optimizers, Sequential
from keras.layers import Dense
from numpy import random, argmax
import numpy as np
from gym.spaces import Box, Discrete
import logging
from keras.utils import to_categorical
import sys
import pickle
import logging
from actor_evaluator impor... | nsragow/RlGym | dqn_frozen_categorical.py | dqn_frozen_categorical.py | py | 6,297 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.random.uniform",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "logging.debug",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "random.sample",
"... |
30467024197 | from collections import deque
class SnakeGame:
def __init__(self, width: int, height: int, food: List[List[int]]):
"""
Initialize your data structure here.
@param width - screen width
@param height - screen height
@param food - A list of food positions
E.g food = [... | dundunmao/LeetCode2019 | 353. Design Snake Game.py | 353. Design Snake Game.py | py | 2,425 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "collections.deque",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 20,
"usage_type": "call"
}
] |
24549535365 | import logging
from pytest import raises, fixture
from kiwi_keg.image_definition import KegImageDefinition
from kiwi_keg.exceptions import KegError
class TestKegImageDefinition:
@fixture(autouse=True)
def inject_fixtures(self, caplog):
self._caplog = caplog
def setup(self):
self.keg_defi... | SUSE-Enceladus/keg | test/unit/image_definition_test.py | image_definition_test.py | py | 3,122 | python | en | code | 8 | github-code | 36 | [
{
"api_name": "pytest.fixture",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "kiwi_keg.image_definition.KegImageDefinition",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pytest.raises",
"line_number": 19,
"usage_type": "call"
},
{
"api_name... |
15204139120 | """import os
os.environ["KERAS_BACKEND"] = "theano"
import keras"""
import keras
print(keras.backend.backend())
from flask import request, render_template, redirect, url_for, Flask
import numpy as np
import time, random
from selenium import webdriver
from tensorflow.keras.models import load_model
from s... | siddhant230/Fun_Projects | activity_recognition/backend.py | backend.py | py | 2,059 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "keras.backend.backend",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "keras.backend",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "sklearn.preprocessing.StandardScaler",
"line_number": 15,
"usage_type": "call"
},
{
"api_n... |
428329513 | from django.shortcuts import render,redirect
# importamos la libreria generic
from django.views import View
from .models import *
from .forms import *
# Create your views here.
class AlumnoView(View):
def get(self,request):
listaAlumnos = TblAlumno.objects.all()
formAlumno = AlumnoForm()
... | Angellvz/DAE-2022-02-LAVENTURA | djangoApp07/django_panel/web/views.py | views.py | py | 689 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.views.View",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.render",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.redirect",
"line_number": 26,
"usage_type": "call"
}
] |
72182864424 | import Utils
from KernelNPRegression import KernelNPRegression
from RobustNPRegression import RobustNPRegression
from matplotlib import pyplot as plt
def draw_scatter(points, color):
plt.scatter([point[0] for point in points],
[point[1] for point in points],
c=color)
def draw_graphic(po... | DimaPhil/ML-Hometasks | HW5/main.py | main.py | py | 1,815 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.pyplot.scatter",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matp... |
8365518894 | from enum import Enum
from typing import Dict, TYPE_CHECKING, List, Union, cast
from ..types import TealType, require_type
from ..errors import TealInputError, verifyTealVersion
from ..ir import TealOp, Op, TealBlock
from .expr import Expr
from .txn import TxnField, TxnExprBuilder, TxnaExprBuilder, TxnObject
from .seq... | gconnect/voting-dapp-pyteal-react | venv/lib/python3.8/site-packages/pyteal/ast/itxn.py | itxn.py | py | 8,116 | python | en | code | 6 | github-code | 36 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "ir.Op.itxn_begin",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "ir.Op",
"lin... |
4022925396 | import requests
from requests.structures import CaseInsensitiveDict
import base64
import json
from django.conf import settings
requests.packages.urllib3.disable_warnings(
requests.packages.urllib3.exceptions.InsecureRequestWarning
)
GITHUB_TOKEN = getattr(settings, "GITHUB_TOKEN", None)
def deploy_done(
git... | kakaocloudschool/Multi_ojigo | api_utils/github_api.py | github_api.py | py | 6,199 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "requests.packages.urllib3.disable_warnings",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "requests.packages",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "requests.packages",
"line_number": 8,
"usage_type": "attribute"
},
{
... |
22226448679 | import numpy as np
import pandas as pd
import argparse
def get_tail(hmm, ncRNA, strict=False):
expression = [int(x) for x in hmm.loc[ncRNA].score.split(',')]
if (np.mean(expression) > 1.5) and (len(expression) > 1000):
trim_length = trim_expression(expression, strict)
return trim_length
els... | bfairkun/ChromatinSplicingQTLs | code/scripts/NonCodingRNA/trim_ncRNAs.py | trim_ncRNAs.py | py | 14,065 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.mean",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 24,... |
70183489063 | from decimal import Decimal, InvalidOperation
from typing import TYPE_CHECKING, Any, List, Optional, TypedDict
from django.db import models, transaction
if TYPE_CHECKING:
from senda.core.models.clients import ClientModel
from senda.core.models.localities import LocalityModel, StateChoices
from senda.core.... | UNPSJB/SendaAlquiler | backend/senda/core/managers.py | managers.py | py | 14,222 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.db.models.Manager",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "ty... |
8380776575 | import pandas as pd
import matplotlib.pyplot as plt
plt.rcParams['figure.figsize'] = (15, 5)
def plot_temperature(m, a, b, min, max):
"""
This function will plot the temperatures for a given month m, within the time range a-b and temperature range min-max.
m: The month the user chooses as a number... | cjiang94/INF3331-Python | assignment6/temperature_CO2_plotter.py | temperature_CO2_plotter.py | py | 2,116 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "matpl... |
29247518148 | # Run 'discoronode.py' program to start processes to execute computations sent
# by this client, along with this program.
# This example is similar to 'discoro_client6.py', except it uses broadcasting
# over Channel to send messages to remote coroutines to process, and uses
# 'deque' module to implement circular buffe... | pgiri/asyncoro | examples/discoro_client6_channel.py | discoro_client6_channel.py | py | 5,369 | python | en | code | 51 | github-code | 36 | [
{
"api_name": "collections.deque",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "asyncoro.disasyncoro.Channel",
"line_number": 83,
"usage_type": "call"
},
{
"api_name": "asyncoro.disasyncoro",
"line_number": 83,
"usage_type": "name"
},
{
"api_name": "a... |
11168278407 | import csv
import json
from collections import defaultdict
import itertools
import os
import sys
import argparse
## NB update relevant config file name here
#from config2019 import *
# Mr Gorbachev, tear down etc etc
# Generate booth data structure (combinations hardcoded):
NPP_FIELDS = ["ID", "Division", "Booth", "L... | alexjago/nPP-Senate | src/SA1s_Multiplier.py | SA1s_Multiplier.py | py | 5,812 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "sys.stderr",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr.isatty",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "itertools.combinations",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "itertools.pe... |
12534507732 | import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import datetime
df = pd.read_csv("D-GROWTH.csv")
df['Date'] = pd.to_datetime(df["Date"])
all_years = df['Date'].dt.year.unique()
temp = {'Date': [], 'Growth': []}
for i in all_years:
for j in range(12, 0, -1):
data = df[(df[... | icyboguyaman/Python-Small-Projects | hw1.py | hw1.py | py | 1,139 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
... |
30537139211 | from tkinter import *
from tkinter import messagebox
from openpyxl import *
import cv2
import pickle
import cvzone
import numpy as np
import os
root = Tk()
root.title("ParkiN")
root.geometry('925x500+300+200')
root.configure(bg='#fff')
root.resizable(False, False)
def book():
vehicleno = user.ge... | FrostPrince003/Book2Park | parkin.py | parkin.py | py | 8,405 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "tkinter.messagebox.showerror",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "tkinter.messagebox",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 105,
"usage_type": "call"
},
{
"api_name": "os.... |
34145540015 | msg = "good"
import traceback
import os
try:
import os
import pickle
import onnxruntime as rt
from time import time
from transformers import RobertaForSequenceClassification, RobertaTokenizer
import numpy as np
import urllib
except Exception as e:
msg = traceback.format_exc()
tmp = "/tmp/"
cold = True... | COS-IN/iluvatar-faas | src/load/functions/python3/gpu-functions/onnx-roberta/main.py | main.py | py | 2,058 | python | en | code | 8 | github-code | 36 | [
{
"api_name": "traceback.format_exc",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "os.path.isfile",
... |
43688718516 | import torch
from torch import nn
from torch.nn import Sequential as Seq, Linear as Lin, Conv2d
##############################
# Basic layers
##############################
def act_layer(act, inplace=False, neg_slope=0.2, n_prelu=1):
"""
helper selecting activation
:param act:
:param inplace:
:... | lightaime/sgas | gcn/gcn_lib/dense/torch_nn.py | torch_nn.py | py | 2,774 | python | en | code | 157 | github-code | 36 | [
{
"api_name": "torch.nn.ReLU",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "torch.nn.LeakyReLU",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number... |
2303254132 | import os
import sys
from os.path import join, dirname
from dotenv import load_dotenv
import datetime
import time
import schedule
import logging
import iso8601
from googleapiclient.discovery import build
import functools
logger = logging.getLogger('autosnap')
logging.basicConfig(stream=sys.stdout, level=logging.INFO... | rehive/autosnap-docker | app.py | app.py | py | 2,996 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "logging.INFO",
... |
20500455998 | import mailbox
from contextlib import contextmanager
import tempfile
from io import BytesIO
import gzip
import logging
import requests
from mlarchive2maildir.message import deobfuscate
class MessageIdMaildir(mailbox.Maildir):
"""
An extension of the mailbox.Maildir class that you can ask
whether a me... | flokli/mlarchive2maildir | mlarchive2maildir/mailbox.py | mailbox.py | py | 3,148 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "mailbox.Maildir",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "io.BytesIO",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "gzip.open",
"line_nu... |
15731209645 | from __future__ import annotations
from typing import Any
from typing import Dict
from typing import Set
from sqlalchemy import CHAR
from sqlalchemy import CheckConstraint
from sqlalchemy import Column
from sqlalchemy import event
from sqlalchemy import ForeignKey
from sqlalchemy import Index
from sqlalchemy import i... | sqlalchemy/alembic | alembic/testing/suite/_autogen_fixtures.py | _autogen_fixtures.py | py | 9,880 | python | en | code | 2,219 | github-code | 36 | [
{
"api_name": "typing.Set",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.event.listens_for",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Table",... |
13895020960 | import matplotlib.pyplot as plt
import numpy as np
x = np.array([[1,0],[0,1],[0,-1],[-1,0],[0,2],[0,-2],[-2,0]])
y = np.array([-1,-1,-1,1,1,1,1])
def z(X):
x1, x2 = X[0], X[1]
t1 = x2**2 - 2*x1 - 2
t2 = x1**2 - 2*x2 - 1
return [t1,t2]
T = np.array([z(i) for i in x])
for i in T:
print(i)
from sklearn import svm... | kevinliu726/MachineLearningTechnique | hw1/1.py | 1.py | py | 1,275 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.array",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sklearn.svm.SVC",
"line_number"... |
205686342 | import tensorflow as tf
import numpy as np
import gym
from gym.wrappers import Monitor
import random
import os
import time
def Policy(action_cnn,state,sess,epsilon, num_actions=4):
preds = sess.run(action_cnn.preds,{action_cnn.input:state[np.newaxis,:]})
p = np.ones(num_actions)*epsilon/num_actions
greedy_action =... | kabirahuja2431/DeepQLearning | dql.py | dql.py | py | 3,990 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "numpy.newaxis",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "numpy.ones",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.argmax",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tensorflow.train.Saver",
... |
33082220746 | import detectron2
from detectron2.utils.logger import setup_logger
import numpy as np
import os, json, cv2, random
from detectron2.data import MetadataCatalog, DatasetCatalog
from detectron2.structures import BoxMode
from detectron2.utils.visualizer import Visualizer
setup_logger()
# if your dataset is in COCO format... | sangminwoo/Temporal-Span-Proposal-Network-VidVRD | detectron/vidor_anno_to_coco_format.py | vidor_anno_to_coco_format.py | py | 4,815 | python | en | code | 14 | github-code | 36 | [
{
"api_name": "detectron2.utils.logger.setup_logger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "os.path",... |
10829381285 | #!/usr/bin/env python
import os, sys
import json
import messytables
import subprocess
from dgitcore.helper import cd
from dgitcore.plugins.instrumentation import InstrumentationBase
from dgitcore.config import get_config
def run(cmd):
output = subprocess.check_output(cmd,
std... | pingali/dgit | dgitcore/contrib/instrumentations/executable.py | executable.py | py | 3,917 | python | en | code | 15 | github-code | 36 | [
{
"api_name": "subprocess.check_output",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "subprocess.STDOUT",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "dgitcore.helper.cd",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.... |
21119796127 | import heapq
from math import inf
from typing import List
class Solution:
def minimumTime(self, grid: List[List[int]]) -> int:
m, n = len(grid), len(grid[0])
if grid[0][1] > 1 and grid[1][0] > 1:
return -1
dis = [[inf] * n for _ in range(m)]
dis[0][0] = 0
h = ... | plattanus/leetcodeDAY | python/2577. 在网格图中访问一个格子的最少时间.py | 2577. 在网格图中访问一个格子的最少时间.py | py | 961 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "typing.List",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "math.inf",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "heapq.heappop",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "heapq.heappush",
"line_number":... |
39853467321 | import cv2 as cv
import numpy as np
im = cv.imread('car.png', 0)
kernel = np.ones((5, 5), np.int16) * 1 / 25
out = cv.filter2D(im, -1, kernel)
print(out)
for i in range(len(out)):
for j in range(len(out[0])):
if out[i][j] < 128:
out[i][j] = 255
else:
out[i][j] = 0
cv.imsh... | RonaldCDO/Python | python_opencv/grayscale_images.py | grayscale_images.py | py | 376 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "cv2.imread",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.int16",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "cv2.filter2D",
"line_number":... |
4941442035 | import requests
import configparser
import json
cfg = configparser.ConfigParser()
cfg.read("config.ini")
_api_url = str(cfg["default"]["api_url"])
def test_post_scm_repo():
response = requests.post(f"{_api_url}/scm-repos", json={"url": "abc"})
assert response.status_code == 201
body = response.json()
... | shmenkins/acceptance-tests | shmenkins/at/api_test.py | api_test.py | py | 378 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 11,
"usage_type": "call"
}
] |
16103131667 | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name='ISY994v5',
version='0.9.7',
description='ISY99 Controller Rest and Websocket client v5 firmware',
author='Michael Cumming',
author_email='mike@4831.com',
long_description=long_descrip... | mjcumming/ISY994v5 | setup.py | setup.py | py | 804 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "setuptools.setup",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 17,
"usage_type": "call"
}
] |
10514105287 | import allure
from selenium.webdriver.common.by import By
from extensions import ui_actions
from utilities.Base import Base
@allure.step("Business Flow: Login")
def login(email, password):
ui_actions.update_text(Base.LOGIN_PAGE.textbox_user_email, email)
ui_actions.update_text(Base.LOGIN_PAGE.textbox_passwor... | liorc955/Python-automation | workflows/web_flows.py | web_flows.py | py | 3,153 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "extensions.ui_actions.update_text",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "extensions.ui_actions",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "utilities.Base.Base.LOGIN_PAGE",
"line_number": 10,
"usage_type": "attribute"
}... |
41917076519 | from flask import jsonify, make_response
import src.flaskr.controllers.turn_logic as turn_logic
from src.flaskr.controllers.uuid_supplier import UuidSupplier
import src.flaskr.controllers.winner_logic as winner_logic
from src.flaskr.models.game_model import Game, GameSchema, MoveSchema
from src.flaskr.persistence.repos... | eriklong95/tiktak | src/flaskr/controllers/games_controller.py | games_controller.py | py | 3,297 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "src.flaskr.models.game_model.GameSchema",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "src.flaskr.models.game_model.MoveSchema",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "src.flaskr.persistence.repositories.game_repository_api.GameReposi... |
70062828584 | from flask import Blueprint, render_template, request, current_app,redirect
from flask import url_for, flash
from jobweb.decorators import admin_required
from jobweb.models import db,User
from jobweb.forms import UserRegisterForm, CompanyRegisterForm,UserEditForm, CompanyEditForm
admin = Blueprint('admin', __name__, u... | LouPlus/jobplus3-9 | jobweb/handlers/admin.py | admin.py | py | 2,498 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Blueprint",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "jobweb.decorators.admin_required",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": ... |
21325799107 | from django_mongoengine.queryset import QuerySet
from .config import (
HARD_DELETE,
DELETED_INVISIBLE,
DELETED_ONLY_VISIBLE,
DELETED_VISIBLE,
DELETED_VISIBLE_BY_FIELD,
)
class SafeDeletionQuerySet(QuerySet):
"""Default queryset for the SafeDeletionQuerySetManager.
Takes care of "lazily e... | ngocngoan/django-safedeletion-mongoengine | safedeletion_mongoengine/queryset.py | queryset.py | py | 4,946 | python | en | code | 14 | github-code | 36 | [
{
"api_name": "django_mongoengine.queryset.QuerySet",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "config.DELETED_INVISIBLE",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "config.HARD_DELETE",
"line_number": 41,
"usage_type": "name"
},
{
"... |
984949848 | """empty message
Revision ID: dde24bfed677
Revises: 0c89b9c0a9cd
Create Date: 2020-04-07 16:50:44.747914
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'dde24bfed677'
down_revision = '0c89b9c0a9cd'
branch_labels = None
depends_on = None
def... | torbjomg/pwa_flask_app | migrations/versions/dde24bfed677_.py | dde24bfed677_.py | py | 1,867 | python | en | code | 0 | github-code | 36 | [
{
"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... |
30337199579 | import Gui
import networkx as nx
import random
def ant(graph:nx.Graph, psize:int, node:tuple, pgraph, pherom, pheromcoef, update):
ants = []
for i in range(psize):
ants.append([set(),0])
findway(graph, pgraph , ants[-1], node, pheromcoef)
update()
s = node
for n in ants[... | rawr-0/ants_algorithm_lab | main.py | main.py | py | 1,524 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "networkx.Graph",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "networkx.Graph",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "random.uniform",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "Gui.Window",
... |
12607805013 | from gevent import monkey
monkey.patch_all()
from bs4 import BeautifulSoup
import requests
from fake_useragent import UserAgent
import gevent
from gevent.queue import Queue
import os
def getPictures():
while not urls.empty():
item = urls.get_nowait()
if not os.path.exists(f'F://meiziba//{item[1]}... | Kenny3Shen/CodeShen | Code/Python/Web Crawler/meiziba.py | meiziba.py | py | 1,509 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "gevent.monkey.patch_all",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "gevent.monkey",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "os.path.exists",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"lin... |
21809713879 | import asyncio
import logging
from bleak import BleakClient, BleakScanner
DEVICE_NAME = "iBobber"
IBOBBER_ADDR = "34:14:B5:4B:B9:15"
ACCEL_SERVICE_UUID = "1791FFA0-3853-11E3-AA6E-0800200C9A66"
CUSTOM_SERVICE_UUID = "1791FF90-3853-11E3-AA6E-0800200C9A66"
BATT_SERVICE_UUID = "0000180F-0000-1000-8000-00805F9B34FB"
DEVIC... | limehouselabs/i.-bobba | ibobber/__main__.py | __main__.py | py | 1,810 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "logging.basicConfig",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "logging.INFO... |
36838033719 | import os
import sys
from typing import List
import yaml
# Permit imports from "buildscripts".
sys.path.append(os.path.normpath(os.path.join(os.path.abspath(__file__), '../../..')))
# pylint: disable=wrong-import-position
from buildscripts.idl import lib
from buildscripts.idl.idl import parser
def gen_all_feature... | mongodb/mongo | buildscripts/idl/gen_all_feature_flag_list.py | gen_all_feature_flag_list.py | py | 1,844 | python | en | code | 24,670 | github-code | 36 | [
{
"api_name": "sys.path.append",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.normpath",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numbe... |
24184494226 | """
H4xton fake typing chat exploit
"""
import requests,os,sys,time,random
class Discord():
def TypeExploit(token,channelid):
url = f"https://canary.discord.com/api/v9/channels/{channelid}/typing"
headers = {
'authority': 'canary.discord.com',
'content-length': '0',
... | lnfernal/Discord-Hearbeat-Exploit | main.py | main.py | py | 1,350 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.request",
"line_number": 31,
"usage_type": "call"
}
] |
26383130759 | import os
os.environ["XLA_FLAGS"] = "--xla_force_host_platform_device_count=4"
import sys
from typing import Literal
import pickle
sys.path.append(snakemake.config['workdir'])
import jax
from jax.config import config
config.update("jax_enable_x64", True)
print(f"Jax device count: {jax.local_device_count()}")
impor... | jarsba/gradu | scripts/create_models_for_linear_regression.py | create_models_for_linear_regression.py | py | 4,405 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.environ",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "jax.config.config.update",... |
476311110 | import json
import clearskies
from clearskies.handlers.exceptions import ClientError, InputError
from clearskies.handlers.base import Base
from .exceptions import ProducerError
class NoInput(clearskies.handlers.SchemaHelper, Base):
_configuration_defaults = {
'base_url': '',
'can_rotate': True,
... | cmancone/clearskies-akeyless-custom-producer | src/clearskies_akeyless_custom_producer/handlers/no_input.py | no_input.py | py | 10,414 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "clearskies.handlers",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "clearskies.handlers.base.Base",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "clearskies.authentication.public",
"line_number": 27,
"usage_type": "call"
},
{
... |
72975128425 | from django import forms
from crispy_forms.layout import Submit
from core.forms.base_crispy_form import BaseCrispyForm
from core.models.round import Round
class WinnerForm(BaseCrispyForm, forms.ModelForm):
SUBMIT_BUTTON_VALUE = "Declare Winner"
SUBMIT_BUTTON_CSS_CLASSES = "btn-no-bg btn-outline-info"
c... | lekjos/dailygroove | src/core/forms/winner_form.py | winner_form.py | py | 1,864 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "core.forms.base_crispy_form.BaseCrispyForm",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.forms.ModelForm",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 9,
"usage_type": "name"
},
{
"... |
6788861571 | import codecs
from django.conf import settings
from django.views.generic.edit import CreateView
from django.contrib.auth.mixins import PermissionRequiredMixin
from django.urls import reverse
from django.http.response import HttpResponseRedirect
from django.contrib import messages
from achievement.models import Achiev... | tomasgarzon/exo-services | service-exo-core/consultant/views/network/bulk.py | bulk.py | py | 3,853 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.contrib.auth.mixins.PermissionRequiredMixin",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "django.views.generic.edit.CreateView",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "django.conf.settings.CONSULTANT_FULL_PERMS_ADD_CONSULTANT... |
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