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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
14952780826 | from temporalio.client import Client
from temporalio.worker import Worker
from temporal_test.activity import say_hello_activity
from temporal_test.config import Config
from temporal_test.workflows import TestWorkflow
import asyncio
import os
async def main():
temporal_host = os.getenv("TEMPORAL_ADDRESS", "127.0.0... | qadiludmer/temporal-test | temporal_test/worker.py | worker.py | py | 824 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.getenv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "temporalio.client.Client.connect",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "temporalio.client.Client",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "t... |
10230270575 | import numpy as np
from pyparsing import Any
import evals
import evals.elsuite.steganography.steganography as steganography
import evals.metrics
from evals.api import CompletionFn, DummyCompletionFn
from evals.eval import Eval
from evals.record import RecorderBase
class Steganography(Eval):
def __init__(
... | openai/evals | evals/elsuite/steganography/eval.py | eval.py | py | 3,437 | python | en | code | 12,495 | github-code | 6 | [
{
"api_name": "evals.eval.Eval",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "evals.api.CompletionFn",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "evals.api.DummyCompletionFn",
"line_number": 24,
"usage_type": "argument"
},
{
"api_name":... |
1948037648 | from django.contrib import admin
from django.db.models import QuerySet
from django.db.models.expressions import RawSQL
from django.forms import ModelForm
from django.urls import reverse
from django.utils.safestring import mark_safe
from tree.models import Category
from django.utils.html import format_html
from django ... | Vulwsztyn/django_treebeard_admin | tree/admin.py | admin.py | py | 1,783 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "django.db.models.QuerySet",
"line_number": 17,
"usage_type": "name"
},
{
... |
15855579751 | from appium import webdriver
from appium.webdriver.common.mobileby import MobileBy
from selenium.webdriver.common.by import By
class TestWeworkTest:
def setup(self):
desired_cap = {}
desired_cap["platformName"] = "Android"
# desired_cap["platformVersion"] = "6.0"
desired_cap["devic... | sunmings1310/HogwartsHomework | hogwarts-homework/AppWeworkHomework/test_clokc_in.py | test_clokc_in.py | py | 3,015 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "appium.webdriver.Remote",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "appium.webdriver",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "appium.webdriver.common.mobileby.MobileBy.XPATH",
"line_number": 47,
"usage_type": "attribute"
... |
28985765692 | import community as community_louvain
import networkx as nx
#read file
graph_file = 'abide_au_2_4132_sparse.txt'
#label_file='4132_regions.txt'
with open(graph_file) as f:
graph = f.readlines()
graph = [x.strip() for x in graph]
G = nx.parse_edgelist(graph, delimiter="\t", nodetype=int)
partition = community_lo... | chandrashekar-cds/Graph-Coarsening | louvain_subgraphs_label.py | louvain_subgraphs_label.py | py | 2,184 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "networkx.parse_edgelist",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "community.best_partition",
"line_number": 13,
"usage_type": "call"
}
] |
10640003312 |
import requests
import json
import urllib2
BASE_URL = "https://api.github.com"
def confirm_github():
"""Confirm Github is up and running"""
url = BASE_URL
r = requests.get(url)
if r.status_code == 200:
# print "status code:", r.status_code, "(github is working)"
return True
else:
# print "github is down"... | smithers1221/replicatedcc_python | githubapi.py | githubapi.py | py | 1,833 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "urllib2.Request",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "urllib2.urlopen",
"line... |
43574733165 | import os
import unittest
import re
from unittest import mock
import tempfile
with mock.patch('cffi.FFI.dlopen', return_value=mock.MagicMock()):
from geopmdpy.system_files import ActiveSessions, AccessLists, WriteLock
# Patch dlopen to allow the tests to run when there is no build
with mock.patch('cffi.FFI.dlopen'... | geopm/geopm | service/geopmdpy_test/TestPlatformService.py | TestPlatformService.py | py | 21,394 | python | en | code | 79 | github-code | 6 | [
{
"api_name": "unittest.mock.patch",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "unittest.mock",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "unittest.mock.MagicMock",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "unittest.mock.... |
26038294916 | import inspect
import json
import sys
from pathlib import Path
import pytest
from _pytest import fixtures
from _pytest.compat import get_real_func
def get_func_path(func):
real_func = get_real_func(func)
return inspect.getfile(real_func)
def get_fixturedef(fixture_request, name):
fixturedef = fixture_r... | pantsbuild/pants | pants-plugins/internal_plugins/test_lockfile_fixtures/collect_fixtures.py | collect_fixtures.py | py | 2,655 | python | en | code | 2,896 | github-code | 6 | [
{
"api_name": "_pytest.compat.get_real_func",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "inspect.getfile",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "_pytest.fixtures.FixtureLookupError",
"line_number": 22,
"usage_type": "attribute"
},
{
... |
6323414106 | from contextlib import suppress
import random
import asyncio
from typing import *
import traceback
import hikari
from hikari import Embed
import lightbulb
from lightbulb import events, errors
from lightbulb.context import Context
from core import Inu
from utils.language import Human
from .help import OutsideHelp
fro... | zp33dy/inu | inu/ext/commands/errors.py | errors.py | py | 10,996 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "core.getLogger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "lightbulb.Plugin",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "core.Inu",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "hikari.ExceptionEvent",
... |
40315905815 | ##############################################
# Q1 --- find sum of all inputs
##############################################
# Read input - (f.read() for char-by-char read) & (loop file object for LINE-by-LINE reading)
with open('./1201.in', 'r') as f:
freqList = [line.strip() for line in f]
# Compute sum
from ... | hdd2k/adventOfCode | 2018/01/1201.py | 1201.py | py | 924 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "functools.reduce",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "itertools.cycle",
"line_number": 23,
"usage_type": "call"
}
] |
8413409544 | import numpy as np
from itertools import product
from vgc_project.maze import Maze
def test_basic_maze_properties():
pw=.94
ps=.6
m = Maze(
tile_array=(
".j.",
"x#3"
),
absorbing_features=("j",),
wall_features=("#","3"),
default_features=("."... | markkho/value-guided-construal | vgc_project/vgc_project/tests/test_maze.py | test_maze.py | py | 2,403 | python | en | code | 20 | github-code | 6 | [
{
"api_name": "vgc_project.maze.Maze",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "itertools.product",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "numpy.isclose",
... |
43272673113 | import os
import cv2
import numpy as np
import torch
from PIL import Image
import torchvision
class SegDataset(object):
def __init__(self, root, transforms):
self.root = root
self.transforms = transforms
# load all image files, sorting them to
# ensure that they are aligned
... | v7labs/deeplabv3-edges | dataset.py | dataset.py | py | 2,535 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.listdir",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": ... |
38777260786 | import pandas as pd
import os
import numpy as np
from math import floor
from sqlalchemy import create_engine, MetaData, Table
import tushare as ts
from utils import get_all_tdx_symbols
import click
import struct
"""
读取通达信数据
"""
class TdxFileNotFoundException(Exception):
pass
class TdxReader:
def __init__... | maxwell-lv/MyQuant | tdxreader.py | tdxreader.py | py | 5,452 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 2... |
38358981811 | import logging
from enum import Enum
import openai
from fastapi import Query
from openai.error import AuthenticationError, InvalidRequestError, RateLimitError
from tenacity import (
retry,
stop_after_attempt,
wait_random_exponential,
retry_if_exception_type,
) # for exponential backoff
from app.confi... | jybaek/Hello-ChatGPT | app/services/openai_completions.py | openai_completions.py | py | 2,522 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "enum.Enum",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "openai.Completion.acreate",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "openai.Completion",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "tenacity.r... |
10865691548 | from django.contrib import admin
from django.db import models
from django.db.models import Q
from django.utils.translation import gettext_lazy as _
from ...settings import ADMIN_MEDIA_JS
from .actions import save_all_theses_to_xls
from .models import Thesis
# Copied from https://gist.github.com/rafen/eff7adae38903ee... | tlrh314/UvA_API_Alumni | apiweb/apps/research/admin.py | admin.py | py | 8,102 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "django.contrib.admin.ACTION_CHECKBOX_NAME",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.ACTION_CHECKBOX_NAME",
"line_number": 24,
"usage... |
34849239284 | import sqlite3
def execute_with_output(conn, query_txt, fetch_quant="one"):
"""
Takes the connection file variable and executes the query text within that connection
:param fetch_quant:
:param conn:
:param query_txt:
:return:
"""
try:
c = conn.cursor()
c.execute(query_t... | James-Rocker/data_engineering_portfolio | working_with_sqllite/query/__init__.py | __init__.py | py | 705 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sqlite3.Error",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "sqlite3.Error",
"line_number": 32,
"usage_type": "attribute"
}
] |
40275219447 | # %%
import pandas as pd
import plotly.io as pio
import plotly.express as px
import plotly
# %%
adani_df = pd.read_csv('Data\Scatterplot\ADANIENT_day_data_processed.csv', parse_dates=['date'], index_col=['date'])
appolo_df = pd.read_csv('Data\Scatterplot\APOLLOHOSP_day_data_processed.csv', parse_dates=['date'], index_... | mathewjames/covid-impact-on-indian-stock-market | scatterplot.py | scatterplot.py | py | 7,537 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"... |
70722602427 | import requests
from bs4 import BeautifulSoup
from .componentParser import ComponentParser
from .utils import isRelativePostDate, getRelativePostDate
class BlogPost:
errorCount = 0
def __init__(self, url, isDevMode=False):
# 개발 편의
self.isDevMode = isDevMode
# init
self.url = url
self.postInframeUrl = ''
... | Jeongseup/naver-blog-backer | src/naverblogbacker/post.py | post.py | py | 4,676 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"... |
29013781998 | import sys,usb,struct
USB_TIMEOUT_DEFAULT = 1000
SMS_EP_IN = 0x81
SMS_EP_OUT = 0x02
HIF_TASK = 11
class SMS1180USB:
def __init__(self, dev, timeout=USB_TIMEOUT_DEFAULT):
self.dev = dev
self.timeout = timeout
def usb_read(self):
try:
return bytes(self.dev.read(SMS_... | fxsheep/helloworld-anyware | src/siano/sms1180/sms1180usb.py | sms1180usb.py | py | 1,474 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "usb.core",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "usb.core",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "struct.pack",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "struct.unpack",
"line_num... |
31819134582 | """
The field should look like this:
col0 col1 col2 col3 col4 col5 col6 col7 col8
||======|======|======||======|======|======||======|======|======||
|| A | A | A || B | B | B || C | C | C ||
row0||cell0 |cell1 |cell2 ||cell3 |cell4 |cell5 ||cell6 |cell7 |ce... | stanislavstarkov/sudoku | sudoku.py | sudoku.py | py | 6,469 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "openpyxl.load_workbook",
"line_number": 105,
"usage_type": "call"
}
] |
72453543549 | #!/usr/bin/python3
from tkinter import Image
import rospy
import sys
import cv2
from cv_bridge import CvBridge, CvBridgeError
class viewer:
def __init__(self):
self.bridge = CvBridge()
#
self.image_rgb_sub = rospy.Subscriber("/camera/color/image_raw",Image,self.callback)
self.image... | Yandong-Luo/hybrid | src/Vision/detect_ball/nodes/image_pub.py | image_pub.py | py | 997 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "cv_bridge.CvBridge",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "rospy.Subscriber",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tkinter.Image",
"line_number": 12,
"usage_type": "argument"
},
{
"api_name": "rospy.Subscribe... |
31564356652 | import svgwrite.extensions
import faiss
import numpy as np
import matplotlib.pyplot as plt
import svgwrite
import networkx as nx
import src.particle_utils as particle_utils
if __name__ == "__main__":
page_size = (11 * 96, 17 * 96)
max_iterations = 1000
max_particles = 1000
index_training_node_count =... | neoques/dla-python | src/virnolli.py | virnolli.py | py | 3,998 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.random.seed",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "numpy.sqrt",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "faiss.IndexFlatL2",
... |
12657059462 | # level: medium
# 思路：dfs 将节点设为子树和，统计出现最多的字数和
# Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
from collections import defaultdict
class Solution(object):
nodes = defaultdict(int)
def findF... | PouringRain/leetcode | 508.py | 508.py | py | 1,214 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "collections.defaultdict",
"line_number": 13,
"usage_type": "call"
}
] |
18528705421 | # Section12-1
# 파이썬 데이터베이스 연동(SQLite)
# 테이블 생성 및 삽입
import datetime
import sqlite3
# 삽입 날짜 생성
now = datetime.datetime.now()
print('now', now)
nowDatetime = now.strftime('%Y-%m-%d %H:%M:%S')
print('now Datetime', nowDatetime)
# sqlite3 버전
print('sqlite3.version : ', sqlite3.version)
print('sqlite3.sqlite_version', s... | dailyco/python-study | src/section12_1.py | section12_1.py | py | 2,122 | python | ko | code | 2 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "sqlite3.version",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "sqlit... |
9135098878 | # -*- coding: utf-8 -*-
import lzma
import os
import shutil
from datetime import datetime
from datetime import timedelta
import hglib
from bugbug import bugzilla
from bugbug import labels
from bugbug import repository
from bugbug_data.secrets import secrets
from cli_common.log import get_logger
from cli_common.taskc... | chutten/release-services | src/bugbug/data/bugbug_data/retriever.py | retriever.py | py | 3,307 | python | en | code | null | github-code | 6 | [
{
"api_name": "cli_common.log.get_logger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
... |
33340636168 | from wsgiref.simple_server import make_server
from pyramid.view import view_config
from pyramid.config import Configurator
@view_config(route_name='theroute', renderer='json',request_method='POST')
def myview(request):
import pdb; pdb.set_trace()
return {'POST':''}
if __name__ == '__main__':
config = Conf... | Yatish04/MicrosoftBackend | testscripts/pyramidserver.py | pyramidserver.py | py | 524 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pdb.set_trace",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pyramid.view.view_config",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pyramid.config.Configurator",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "wsgi... |
19981883727 | import time
import requests
from bs4 import BeautifulSoup
from fake_useragent import UserAgent
import datetime
import csv
import json
def get_data():
current_time = datetime.datetime.now().strftime('%m-%d-%Y')
with open(f'data/{current_time}_labirint.csv', 'w', newline='', encoding='utf-8-sig') as file:
... | Baradys/scrappers | scrappers/labirint/labirint.py | labirint.py | py | 4,771 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "csv.writer",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "fake_useragen... |
24458342362 | from sklearn.feature_selection import SelectKBest
from sklearn.feature_selection import chi2
X = rs_train[['price_per_ticket', 'seat_row', 'paid_full_price', 'paid_online',
'Regular_Ticket', 'age', 'est_income', 'Male', 'married', 'fam_w_kids',
'kids_in_house', 'from_Boston', 'from_MA','game_hour',
... | befitz/ISOM837_RS | feature_selection.py | feature_selection.py | py | 996 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sklearn.feature_selection.SelectKBest",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sklearn.feature_selection.chi2",
"line_number": 16,
"usage_type": "name"
}
] |
75187431228 | from django.conf import settings
import jwt
from rest_framework import authentication, exceptions
from django.contrib.auth.models import User
class JWTAuthentication(authentication.BasicAuthentication):
def authenticate(self, request):
auth_data = authentication.get_authorization_header(request)
... | Limookiplimo/Contacts-API | authentication/backends.py | backends.py | py | 835 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "rest_framework.authentication.BasicAuthentication",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.authentication",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "rest_framework.authentication.get_authorization_header",
"... |
30433642050 | import requests
from jSona import jSona
import pprint
pp = pprint.pprint
class proImagery :
def __init__(self, CONF_PATH) :
self.jso = jSona()
self.headers = {'json':{'Content-Type':'application/json; charset=utf-8'}}
self.config = self.jso.loadJson(CONF_PATH)['IMAGERY']
self.lower... | oimq/proCleaner | proCleaner/proImagery.py | proImagery.py | py | 2,349 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pprint.pprint",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "jSona.jSona",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 14,
"usage_type": "call"
}
] |
26201696351 | from dolfin import *
import math
import numpy as np
import logging
import matplotlib.pyplot as plt
from unconstrainedMinimization import InexactNewtonCG
logging.getLogger('FFC').setLevel(logging.WARNING)
logging.getLogger('UFL').setLevel(logging.WARNING)
set_log_active(False)
# Set the level of noise:
noise_std_dev ... | uvilla/inverse17 | Assignment3/tntv.py | tntv.py | py | 1,395 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.WARNING",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.WARNING... |
20070392797 | import importlib
import sys
from unittest import mock
class MockConfig:
def __init__(self):
self.bot = mock.MagicMock()
self.state = mock.Mock()
def set_up_class(cls, *module_names):
mock_config = MockConfig()
sys.modules['config'] = mock_config
try:
for module_name in module_names:
module = importlib.im... | raylu/sbot | tests/mock_config.py | mock_config.py | py | 491 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "unittest.mock.MagicMock",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "unittest.mock",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "unittest.mock.Mock",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "unittest.mock",... |
35743712704 | import sys
import read_write as rw
import numpy as np
import scipy.sparse
from MatrixFactorization import MatrixFactorization
if (__name__ == '__main__'):
finput_dataset = sys.argv[1]
finput_K = (int)(sys.argv[2])
iu_matrix_train_path = "../../Data/" + finput_dataset + "/iu_sparse_matrix_train.npz... | clamli/Dissertation | Baselines/Content-based Active Learning/content_based_active_learning.py | content_based_active_learning.py | py | 2,632 | python | en | code | 28 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "scipy.sparse.sparse.load_npz",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "scipy.sparse.s... |
2535030622 |
from pathlib import Path
from shutil import move
from threading import Thread
import logging
folders = []
extensions = []
def grabs_folder(path: Path):
for el in path.iterdir():
if el.is_dir():
folders.append(el)
grabs_folder(el)
def sort_file(path: Path):
... | PetroChulkov/web_homework3 | file_sorter.py | file_sorter.py | py | 1,354 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "shutil.move",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "logging.error",
"line_numbe... |
39964228620 | import pymysql
from tkinter import *
from tkinter import messagebox
import sys
import datetime
u=sys.argv[1]
p=sys.argv[2]
class dropdown:
def __init__(self,appen,lis):
self.m = StringVar()
self.m.set("choose")
self.opt=OptionMenu(appen,self.m,*lis)
self.opt.grid(row=len(lis),colum... | 2HgO/CLASS-SCHEDULER | Scheduler.py | Scheduler.py | py | 13,116 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pymysql.connect",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"li... |
41711840918 | import numpy as np
from sklearn.model_selection import KFold, TimeSeriesSplit
from helpers.settings import *
from model.preprocessing_helper import *
from model.config import HISTORY_SIZE
from datetime import datetime
LSTM_STEP = 1
LSTM_FUTURE_TARGET = 1
LSTM_HISTORY = HISTORY_SIZE
TRAIN_DATASET_FRAC = 0.8
def gene... | burnpiro/wod-usage-predictor | model/data_preprocessor.py | data_preprocessor.py | py | 5,157 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "model.config.HISTORY_SIZE",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "numpy.zeros",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.fromtimestamp",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": ... |
15332380058 | """
Handle photobooth configuration.
"""
import os
import sys
import logging
import yaml
class Configuration:
"""
Create configuration object.
"""
def __init__(self, file):
self.logger = logging.getLogger(__name__)
self.file = file
self._get_config()
def _get_config(self... | diablo02000/pyphotobooth | pyphotobooth/libs/configuration.py | configuration.py | py | 1,363 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "yaml.load",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path.expanduser",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_nu... |
42647237351 | from django.contrib.auth import get_user_model
from django.forms import widgets
from root import forms_override as forms
from root.models import UserGroup, EmailTemplate, EmailGroup, Experiment
INITIAL_EMAIL_TEMPLATE = """<html>
<body>
<h1>{{content}}</h1>
</body>
</html>
"""
class RegistrationForm(for... | ograycode/engage | root/forms.py | forms.py | py | 4,691 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "root.forms_override.Form",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "root.forms_override",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "root.forms_override.CharField",
"line_number": 13,
"usage_type": "call"
},
{
"a... |
73268144828 | import tweepy
import tweeting
import argparse
from time import sleep
parser = argparse.ArgumentParser(description="Tweet news stories periodically according to global priorities.")
parser.add_argument('-dbg_mode', default=False, type=bool, nargs=1, help="Run in debug mode (default = False)")
parser.add_argument('-tw_c... | jaryaman/propNews | main.py | main.py | py | 3,030 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "tweepy.OAuthHandler",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "tweepy.API",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "tweeting.tweet_... |
20538778289 | # https://leetcode.com/problems/word-search-ii/
"""
Time complexity:- O(N * M * W), where N and M are the dimensions of the board and W is the total number of characters in the words.
Space Complexity:- O(W)
"""
"""
Intuition:
The findWords method uses a Trie data structure to efficiently search for words on the boar... | Amit258012/100daysofcode | Day96/word_search_2.py | word_search_2.py | py | 2,234 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "collections.defaultdict",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "functools.reduce",
"line_number": 29,
"usage_type": "call"
}
] |
72355994109 | #!/usr/bin/python3
"""Module that lists all State objects from the database hbtn_0e_6_usa"""
from sys import argv
from model_state import Base, State
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
if __name__ == '__main__':
engine = create_engine('mysql+mysqldb://{}:{}@localhost:330... | MrZooM001/alx-higher_level_programming | 0x0F-python-object_relational_mapping/10-model_state_my_get.py | 10-model_state_my_get.py | py | 672 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "model_state.Base.metadata.create_all",
"line_number": 14,
"usage_type": "call"
},
{
"api_name":... |
70129578749 | #-----------------------------------------------------------------------------------------#
import torch
import matplotlib.pyplot as plt
import deepwave
from deepwave import scalar
import numpy as np
import warnings
#-----------------------------------------------------------------------------------------#
warnings.fil... | PongthepGeo/geophysics_23 | codes/seismic/keep/test_forward.py | test_forward.py | py | 2,872 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.device",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.cud... |
74977703867 | import re
import logging
import sys
import os
import yaml
from rdflib import ConjunctiveGraph, Literal, URIRef, BNode, Namespace
from dipper.graph.Graph import Graph as DipperGraph
from dipper.utils.CurieUtil import CurieUtil
from dipper import curie_map as curie_map_class
from dipper.models.BiolinkVocabulary import ... | monarch-initiative/dipper | dipper/graph/RDFGraph.py | RDFGraph.py | py | 7,720 | python | en | code | 53 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "dipper.graph.Graph.Graph",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "rdflib.ConjunctiveGraph",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "di... |
9854004184 | from __future__ import (absolute_import, division, print_function,
unicode_literals)
import math
import datetime # For datetime objects
import os.path # To manage paths
import sys # To find out the script name (in argv[0])
# Import the backtrader platform
import backtrader as bt
import back... | alfredopzr/backtesting-python | backtrader/strategies/GoldenCross.py | GoldenCross.py | py | 3,173 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "backtrader.Strategy",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "backtrader.indicators.SMA",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "backtrader.indicators",
"line_number": 20,
"usage_type": "attribute"
},
{
"api... |
40542696905 | from flask import Flask, request, jsonify
from flask_mail import Mail, Message
import json
import sqlalchemy
from sqlalchemy import or_,desc
from tables import db,GDPs, Impact, ImpactPredicted
app = Flask(__name__)
app.config['MAIL_SERVER'] = 'smtp.googlemail.com'
app.config['MAIL_PORT'] = 587
app.config['MAIL_USE_TL... | aftex261/DigitalOcean | B Sudharsan - CovInsights App/Backend Files/app.py | app.py | py | 3,625 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask_mail.Mail",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "tables.db.init_app",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "tables.db",
"line_n... |
30578248385 | import cv2
from picamera import PiCamera
from picamera.array import PiRGBArray
import time, socket, logging, configparser, argparse, sys
from utils import Utils
parser = argparse.ArgumentParser()
parser.add_argument('--d', nargs=1, default=None)
args = parser.parse_args()
APP_DIR = args.d[0] if args.d != None else ".... | petkanov/drone-raspberry-py-app | video_streamer.py | video_streamer.py | py | 2,824 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "logging... |
5707632801 | '''
Posts routes
/posts (args: position, amount)
/post (args: id)
'''
from flask_api import status
from flask import request
from flask import Blueprint
from service.upload_image import UploadImage
from databases.models.post import Post, PostStatus
from databases.models.photo import Photo
from deco... | Dolzhenkov-Andrii/api | routes/posts.py | posts.py | py | 3,478 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Blueprint",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "flask.... |
31477418429 | #!/usr/bin/env python
import argparse
import re
import json
from os.path import isfile
def a(lines):
return len(lines)
def t(requests):
stats = {}
for dict_ in requests:
method = dict_['method']
if method not in stats.keys():
stats[method] = 0
stats[method] += 1
... | gatart/2021-1-MAILRU-SDET-Python-G-Talamanov | Homework_5/analyze.py | analyze.py | py | 4,579 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "re.split",
"line_number": 118,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 135,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 143,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"... |
1439842893 | import numpy as np
import numpy.random
import matplotlib.pyplot as plt
import scipy.optimize
def jj_cpr_ballistic(gamma, tau):
return np.sin(gamma) / np.sqrt(1 - tau * np.sin(gamma/2)**2)
def jj_free_energy_ballistic(gamma, tau):
return 4 / tau * (1 - np.sqrt(1 - tau * np.sin(gamma/2)**2))
# d/dγ I(γ)
def jj... | amba/JJA-solver | JJAsolver/network.py | network.py | py | 9,572 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.sin",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 10,
... |
31357541271 | import argparse, sys
import tornado.ioloop
import tornado.gen
import time
from nats.io.client import Client as NATS
def show_usage():
print("nats-sub SUBJECT [-s SERVER] [-q QUEUE]")
def show_usage_and_die():
show_usage()
sys.exit(1)
@tornado.gen.coroutine
def main():
# Parse the command line arg... | nats-io/nats.py2 | examples/nats-sub/__main__.py | __main__.py | py | 1,186 | python | en | code | 62 | github-code | 6 | [
{
"api_name": "sys.exit",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "nats.io.client.Client",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "tornado.ioloop... |
71360101948 | #!/usr/bin/python3
import os
import sys
import time
import jsonpickle
class TODODescription(object):
def __init__(self, todoName, startTime = -1) -> None:
self.todoName = todoName
self.startTime = startTime
self.stopTime = -1
def display(self, id=''):
print('%s %s' % (str(id),... | Dechode/TODO-App | app.py | app.py | py | 5,984 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "jsonpickle.encode",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 90,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 90,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_numb... |
27603501009 |
import io
from pdfminer.pdfinterp import PDFResourceManager, PDFPageInterpreter
from pdfminer.pdfpage import PDFPage
from pdfminer.converter import TextConverter
from pdfminer.layout import LAParams
from langdetect import detect
def pdf2string(path):
"""
From a given pdf path, it creates a string of the pdf... | n1ur0/Document_Clustering | pdfparser.py | pdfparser.py | py | 1,484 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "io.StringIO",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pdfminer.pdfinterp.PDFResourceManager",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pdfminer.converter.TextConverter",
"line_number": 22,
"usage_type": "call"
},
{
... |
34047796819 | import argparse
from resnet import resnet
import os
import sys
from test import test
import tensorflow as tf
from read_data import fasionAI_data
def parse_args():
parser=argparse.ArgumentParser(description="test resnet for FasionAI")
parser.add_argument("--image_data",dest="image_data",\
... | hx121071/FashionAI_resnet | base/test_net.py | test_net.py | py | 1,380 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"l... |
8217311297 | import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import numpy as np
import sys
import math
plt.style.use("acaps")
"""
Compare households owning agricultural land in 2018 and 2019 in the host community.
"""
# Read in the data
df_2018 = pd.read_csv("../../data/processed/MSNA_Host_2018.csv")
df_2... | zackarno/coxs_msna_sector_analysis | host_community/analysis/housing_barplots/agri_land.py | agri_land.py | py | 1,732 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 7,
"usage_type": "name"
},
{
"api_name"... |
36386456035 | import altair as alt
from vega_datasets import data
source = data.cars()
chart = alt.Chart(source).mark_circle(size=60, clip=False).transform_calculate(
x = alt.datum.Horsepower-100,
y = alt.datum.Miles_per_Gallon - 25
).encode(
x=alt.X('x:Q', axis=alt.Axis(offset=-150)),
y=alt.Y('y:Q', axis=alt.Axis(... | noahzhy/charts_synthetic_data | test.py | test.py | py | 464 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "vega_datasets.data.cars",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "vega_datasets.data",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "altair.Chart",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "altair.datum",
... |
36884065642 | #!/usr/bin/python3
"""
Module for Base class
"""
import json
class Base:
""" Base class """
__nb_objects = 0
def __init__(self, id=None):
""" ctor for Base Class """
self.id = id
if id is None:
Base.__nb_objects += 1
self.id = Base.__nb_objects
@static... | Samigirum/alx-higher_level_programming | 0x0C-python-almost_a_circle/models/base.py | base.py | py | 3,403 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.dumps",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "models.rectangle.Rectangle",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "models.square.Square... |
10094748311 | # coding=utf-8
import MeCab
import sys
if len(sys.argv) == 1:
print("mkdir.py <file> [univ]\n")
sys.exit(1)
if len(sys.argv) == 3 and sys.argv[2] == 'univ':
dictype = '固有名詞'
nauntype = '組織'
else:
dictype = '名詞'
nauntype = '一般'
tagger = MeCab.Tagger('-Oyomi')
out = sys.argv[1].replace(".txt", ".... | l-plantarum/chiebukuro | mkdic.py | mkdic.py | py | 716 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "MeCab.Tagger",
"line_number": 1... |
4376865590 |
import sys
import signal
import argparse
from dictmaster.util import load_plugin
last_broadcast_msg = " "
def broadcast(msg, overwrite=False):
global last_broadcast_msg
if overwrite:
sys.stdout.write("\r{}".format(" "*len(last_broadcast_msg.strip())))
msg = "\r"+msg
else:
if last_... | tuxor1337/dictmaster | dictmaster/cli/main.py | main.py | py | 2,301 | python | en | code | 32 | github-code | 6 | [
{
"api_name": "sys.stdout.write",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "sys.stdout.write",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"l... |
40071000142 | import collections
class Solution(object):
def canConstruct(self, ransomNote, magazine):
"""
:type ransomNote: str
:type magazine: str
:rtype: bool
"""
res = collections.Counter(ransomNote) - collections.Counter(magazine)
return not res #(res == collections.C... | lucy9215/leetcode-python | 383_ransomNote.py | 383_ransomNote.py | py | 554 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.Counter",
"line_number": 10,
"usage_type": "call"
}
] |
8173760199 | # Get Networks in Org
# Meraki API Reference:
# https://developer.cisco.com/meraki/api-latest/#!list-the-networks-that-the-user-has-privileges-on-in-an-organization
import tokens
import requests
import json
base_url = "https://api.meraki.com/api/v1"
resource_path = f"/organizations/{tokens.ORG_ID}/networks"
url = bas... | jtsu/meraki_python | merakiScripts/2_getNetworks.py | 2_getNetworks.py | py | 633 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "tokens.ORG_ID",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "tokens.API_KEY",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "requests.request",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "json.dumps",
... |
36797461084 | """Utility for ROC-AUC Visualization"""
import matplotlib.pyplot as plt
from src.utils import infoutils
def plot_signle_roc_auc(cfg, auc, fpr, tpr):
"""
Plots signel ROC Curve
Args:
cfg (cfgNode): Model configurations
auc (float): Area under the ROC curve
fpr (list): False positiv... | KhaledElTahan/Real-World-Anomaly-Detection | src/visualization/roc_auc.py | roc_auc.py | py | 1,016 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "mat... |
73363651708 | #только приватный доступ
import requests
import munch
#получить список доменов
#i.ivanov
headers = { 'PddToken': 'F4KTVIPLCFULRWCDFGJIKNGUPEWQUEMSKDG7DDFJZDPILB3JXLOQ'}
#x@yandex
headers = { 'PddToken': 'E7UIU2AHR33EOXDJ5W6R2Q2WRNW4TGCI5MZ2U6DOX5YKBEJW334A' }
url = 'https://pddimp.yandex.ru/api2/admin/domain/domains?'... | expo-lux/scripts | python/x_createuser.py | x_createuser.py | py | 1,573 | python | ru | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "munch.munchify",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_n... |
72169387389 | """
One table verb initializations
"""
import itertools
from .operators import DataOperator
from .expressions import Expression
__all__ = ['define', 'create', 'sample_n', 'sample_frac', 'select',
'rename', 'distinct', 'unique', 'arrange', 'group_by',
'ungroup', 'group_indices', 'summarize',
... | has2k1/plydata | plydata/one_table_verbs.py | one_table_verbs.py | py | 34,171 | python | en | code | 271 | github-code | 6 | [
{
"api_name": "operators.DataOperator",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "itertools.chain",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "itertools.chain",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "expressions.Ex... |
17625793432 | from __future__ import print_function, division
import os
from keras.layers import Input, Dense, Reshape, Flatten, Dropout, Activation
from keras.layers import BatchNormalization
from keras.layers.advanced_activations import LeakyReLU, ReLU
from keras.models import Sequential, Model
from keras.optimizers import Adam
... | royalsalute/fraud-creditcard-detection | alphagan.py | alphagan.py | py | 12,147 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.path.exists",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "keras.losses.BinaryCrossentro... |
70107497149 | from bs4 import BeautifulSoup
import requests
from pprint import pprint
def main():
url = 'https://remote.co'
remote_co_html = requests.get(url)
soup = BeautifulSoup(remote_co_html.content,"html.parser")
#the_main_class = soup.find("body",class_="home blog remote-co").main.find("div",class_="contai... | cthacker-udel/Python-WebScraper | remoteCoScraper.py | remoteCoScraper.py | py | 1,208 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pprint.pprint",
"line_number": 24,
"usage_type": "call"
}
] |
13209639303 | import PIL
import pyautogui
def popper():
while True:
try:
box = pyautogui.locateOnScreen("C:/Users/Bryan/Documents/GitHub/Cuhacking/decline.png", confidence = 0.55)
loc = pyautogui.center(box)
print(loc)
pyautogui.click(loc.x, loc.y)
break
... | RogerLamTd/Cuhacking | AutomatedQueuePopper/League.py | League.py | py | 374 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pyautogui.locateOnScreen",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pyautogui.center",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pyautogui.click",
"line_number": 11,
"usage_type": "call"
}
] |
8034052289 | #Prototype 4
# importing the necessary libraries
import cv2
import numpy as np
import numpy as np
import os
import cv2
# defining the crack detector function
# here weak_th and strong_th are thresholds for
# double thresholding step
def PCD(img, weak_th = None, strong_th = None):
# c... | thanhtung48c/AUV-Crack-Detection-Model | script.py | script.py | py | 5,431 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.cvtColor",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "cv2.GaussianBlur",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "cv2.Sobel",
... |
7606759311 | import datetime
import time
from .. import emails
from ..database import get_sql_connection
from ..models import Account, Session as SqlSession
__description__ = 'Send out summary emails.'
def send_out_emails():
session = SqlSession()
today = datetime.date.today()
accounts = session.query(Account) \
... | thomasleese/gantt-charts | ganttcharts/cli/send_summary_emails.py | send_summary_emails.py | py | 1,214 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "models.Session",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.date.today",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "models.Account"... |
75241216826 | from typing import Any, Type
from aiohttp import BasicAuth
from ..internal.gateway import Gateway
from ..internal.http import HTTPClient
from .cache import CacheStore, Store
_BASE_MODELS: dict[Any, Any] = {}
class State:
"""The central bot cache."""
def __init__(
self,
token: str,
... | VincentRPS/pycv3 | pycord/state/core.py | core.py | py | 1,011 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.Any",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "aiohttp.BasicAuth",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "typing.Type",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "cache.Store",
"line_numbe... |
2966396264 | '''
@File : ImageReward.py
@Time : 2023/02/28 19:53:00
@Auther : Jiazheng Xu
@Contact : xjz22@mails.tsinghua.edu.cn
@Description: ImageReward Reward model for reward model.
'''
import os
import torch
import torch.nn as nn
import torch.nn.functional as F
from PIL import Image
from config.op... | THUDM/ImageReward | train/src/ImageReward.py | ImageReward.py | py | 8,579 | python | en | code | 761 | github-code | 6 | [
{
"api_name": "torchvision.transforms.InterpolationMode.BICUBIC",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "torchvision.transforms.InterpolationMode",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "PIL.Image.BICUBIC",
"line_number": 23,
"us... |
14959398109 | from mock import Mock
from yoti_python_sandbox.doc_scan.check import SandboxZoomLivenessCheckBuilder
from yoti_python_sandbox.doc_scan.check.report.breakdown import SandboxBreakdown
from yoti_python_sandbox.doc_scan.check.report.recommendation import (
SandboxRecommendation,
)
def test_zoom_liveness_check_should... | getyoti/yoti-python-sdk-sandbox | yoti_python_sandbox/tests/doc_scan/check/test_sandbox_liveness_check.py | test_sandbox_liveness_check.py | py | 1,243 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "mock.Mock",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "yoti_python_sandbox.doc_scan.check.report.recommendation.SandboxRecommendation",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "mock.Mock",
"line_number": 12,
"usage_type": "ca... |
21884345926 | import cv2
def distance(p1, p2):
# D8 distance
return max(abs(p1[0] - p2[0]), abs(p1[1] - p2[1]))
def gamma(img):
totalpixels = img.shape[0] * img.shape[1]
color_dict = {}
for i in range(len(img)):
for j in range(len(img[i])):
tc = tuple(img[i][j])
if (tc in color_dict):
color_dict[tc].append((i, j))... | NitigyaPant/MCA_assignment | test.py | test.py | py | 1,025 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.imread",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 37,
"usage_type": "call"
}
] |
74083767549 | from django.core import checks
from django.core.checks import Warning
from django.test import SimpleTestCase, override_settings
class SystemChecksTestCase(SimpleTestCase):
def test_checks(self):
errors = checks.run_checks()
assert errors == []
with override_settings(
INSTALLED... | boxine/django-huey-monitor | huey_monitor_project/tests/test_checks.py | test_checks.py | py | 790 | python | en | code | 69 | github-code | 6 | [
{
"api_name": "django.test.SimpleTestCase",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.core.checks.run_checks",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.core.checks",
"line_number": 8,
"usage_type": "name"
},
{
"api_name... |
27812632483 | import sys
from osgeo import ogr
fn=r'D:\BackUp\projectsBackup\Qgis\pygis\res\ne_50m_populated_places.shp'
ds=ogr.Open(fn,0)
if ds is None:
sys.exit('could not open {0}.'.format(fn))
lyr=ds.GetLayer(0)
#此图层要素总量
num_features=lyr.GetFeatureCount()
print(num_features)
#根据要素编号Fid获取对应图层
third_feature=lyr.GetFeature(nu... | xuewenqian/pythonGis | ogr/获取特定的要素.py | 获取特定的要素.py | py | 406 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "osgeo.ogr.Open",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "osgeo.ogr",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "sys.exit",
"line_number": 7,
"usage_type": "call"
}
] |
6123307630 | import os
import sys
import shutil
import logging
import argparse
import warnings
import re
from pathlib import Path
from ..backend_funcs.convert import parse_validator
import subprocess as sub
import pandas as pd
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger('fw-heudiconv-validator')
def escape... | PennLINC/fw-heudiconv | fw_heudiconv/cli/validate.py | validate.py | py | 4,603 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "re.compile",
... |
4971500738 | import socket
import threading
import datetime
def acao_cliente(client_socket, client_address):
current_time = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
print(f"Conexão recebida de {client_address[0]}:{client_address[1]} em {current_time}")
with open("honeypot_log.txt", "a") as log_f... | T0tsuK4/honeypot | honeypot.py | honeypot.py | py | 1,673 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "socket.socket",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "socket.AF_IN... |
30575033790 | from DataEngine.DataAdapters.MongoAdapter.MongoAdapter import MongoAdapter
from Domain.EquityCorporateData import EquityCorporateData
from Domain.BuildEnumMethods import BuildEnumMethods
from datetime import date
ma : MongoAdapter = MongoAdapter()
testEquity = EquityCorporateData().build(
method = BuildEnumM... | jminahan/backtest_framework | DataEngine/Tests/DataAdapters/MongoAdapter/MongoAdapterTest.py | MongoAdapterTest.py | py | 1,494 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "DataEngine.DataAdapters.MongoAdapter.MongoAdapter.MongoAdapter",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "Domain.EquityCorporateData.EquityCorporateData",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "Domain.BuildEnumMethods.BuildEnumMeth... |
19700703411 | import discord
from discord.ext import commands
import urllib.parse, urllib.request
import requests
import googlesearch
import re
import json
bot = commands.Bot(description = "Im just a Kid", command_prefix ="@")
@bot.event
async def on_ready():
print("IM READYYY")
@bot.command(pass_context=True)
async def searc... | TestingYG/ProjectDumButt | DumButtv2.py | DumButtv2.py | py | 7,169 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "discord.ext.commands.Bot",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "json.dumps",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "requests.Sessi... |
22850158142 | #!/usr/bin/env python
# coding: utf-8
from bs4 import BeautifulSoup as bs
import pandas as pd
from splinter import Browser
import requests
from selenium import webdriver
from webdriver_manager.chrome import ChromeDriverManager
executable_path = {'executable_path': ChromeDriverManager().install()}
browser = Browser(... | iegatlanta/web-scraping-challenge | Mission_to_Mars/scrape_mars.py | scrape_mars.py | py | 2,817 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "webdriver_manager.chrome.ChromeDriverManager",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "splinter.Browser",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 26,
"usage_type": "call"
},
{
"a... |
16046421800 | from tkinter import *
from tkinter.messagebox import*
import sqlite3
root4=Tk()
h,w=root4.winfo_screenheight(),root4.winfo_screenwidth()
root4.geometry('%dx%d+0+0'%(w,h))
bus4=PhotoImage(file='.\\Bus_for_project.png')
Label(root4,image=bus4).grid(row=0,column=0,columnspan=12,padx=w/2.5)
Label(root4,text='... | akarshi19/Online-Bus-Booking-System | bus_route.py | bus_route.py | py | 2,568 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sqlite3.Connection",
"line_number": 20,
"usage_type": "call"
}
] |
38088951612 | # -*- coding: utf-8 -*-
"""
Production Mapper
Michael Troyer
michael.troyer@usda.gov
"""
import datetime
import os
import traceback
from collections import defaultdict
import arcpy
arcpy.env.addOutputsToMap = False
arcpy.env.overwriteOutput = True
##---Functions-----------------------------------------------... | MichaelTroyer/ArcGIS_NRCS_Production_Mapper | Production_Mapper.pyt | Production_Mapper.pyt | pyt | 8,168 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "arcpy.env",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "arcpy.env",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "arcpy.AddFieldDelimiters",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "arcpy.Describe... |
32279135386 | #!/usr/bin/env python
"""Simple script to fetch data from the bslparlour home stream"""
import datetime
import os
import subprocess as sp
import yaml
import tweepy
import myconf
def dictify(results):
return_dict = dict()
for result in results:
return_dict[result.id] = result
return return_dict
... | natfarleydev/mr-retweet | get_tweet_data.py | get_tweet_data.py | py | 1,627 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.listdir",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "yaml.load",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 24,
... |
8770897157 | import asyncio
import logging
import sys
import time
import pyautogui
import pydirectinput
import qasync
from PySide6 import QtWidgets, QtCore
from front import Ui_MainWindow
def use_quick_access_inventory():
print("Use quick access of inventory")
pydirectinput.keyDown('1')
time.sleep(0.1)
pydirectin... | arekszatan/botClicker | InsomniaBot.py | InsomniaBot.py | py | 6,684 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pydirectinput.keyDown",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pydirectinput.keyUp",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pydirectinput.ke... |
46051636676 | # -*- coding: utf-8 -*-
from django.shortcuts import render, redirect, get_object_or_404
from django.urls import reverse
from django.contrib import messages
from django.utils.translation import gettext as _
from djconfig import config
from spirit.core.utils.views import is_post, post_data
from spirit.core.utils.pagi... | nitely/Spirit | spirit/comment/flag/admin/views.py | views.py | py | 1,916 | python | en | code | 1,153 | github-code | 6 | [
{
"api_name": "django.shortcuts.get_object_or_404",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "models.CommentFlag",
"line_number": 19,
"usage_type": "argument"
},
{
"api_name": "forms.CommentFlagForm",
"line_number": 20,
"usage_type": "call"
},
{
"a... |
2768444611 | import pandas as pd
import math
from sklearn import linear_model
import numpy as np
def predict_using_sklearn():
test_scores = pd.read_csv(r'C:\Users\Polina\Desktop\Python\Pandas\test_scores.csv')
reg = linear_model.LinearRegression()
reg.fit(test_scores[['math']], test_scores.cs)
return reg.c... | CarlBrendt/Data-Analysis | Gradient_descent_with_no_train_test.py | Gradient_descent_with_no_train_test.py | py | 1,356 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.LinearRegression",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model",
"line_number": 8,
"usage_type": "name"
},
{
"api_name"... |
72757346749 | from syscore.objects import arg_not_supplied
from syscore.genutils import flatten_list
from dataclasses import dataclass
import pandas as pd
EMPTY_INSTRUMENT = ""
class futuresInstrument(object):
def __init__(self, instrument_code: str):
self._instrument_code = instrument_code
@property
def inst... | ahalsall/pysystrade | sysobjects/instruments.py | instruments.py | py | 9,474 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "dataclasses.dataclass",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 65,
"usage_type": "name"
},
{
"api_name": "syscore.genutils.flatten_list",
"line_number": 113,
"usage_type": "call"
},
{
"api_na... |
26038332576 | from __future__ import annotations
import pytest
@pytest.mark.parametrize(
"variables, expected_data",
[
(
{"name": r"pants_explorer\."},
{
"rules": [
{"name": "pants_explorer.server.graphql.rules.get_graphql_uvicorn_setup"},
... | pantsbuild/pants | pants-plugins/pants_explorer/server/graphql/query/rules_test.py | rules_test.py | py | 1,078 | python | en | code | 2,896 | github-code | 6 | [
{
"api_name": "pytest.mark.parametrize",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 6,
"usage_type": "attribute"
}
] |
39254517776 | from django.db import models
from django.db.models import Case, Count, IntegerField, When
class CountryManager(models.Manager):
def aggregate_integration_statuses(self):
from proco.connection_statistics.models import CountryWeeklyStatus
return self.get_queryset().aggregate(
countries_j... | unicef/Project-Connect-BE | proco/locations/managers.py | managers.py | py | 1,353 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "django.db.models.Manager",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.db.models.Count",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "dj... |
3580079410 | import json
from statistics import mean
import numpy as np
import os
from bokeh.plotting import output_file, figure, save
from bokeh.layouts import gridplot
from src.utils.tools import listdir, hash_append
def combined(ids, name, legend=None, y_range=(0, 900)):
summaries = {}
episodes = []
for key_ in set... | MatthijsBiondina/WorldModels | planet/plots.py | plots.py | py | 4,228 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "src.utils.tools.hash_append",
... |
41475591670 | import httpx
import asyncio
import logging
import discord
from discord.ext import tasks
from redbot.core import Config, commands
IDENTIFIER = 4175987634255572345 # Random to this cog
ishtakar_world_id = "3f1cd819f97e"
default_server = "Ishtakar"
realm_data_url = "https://nwdb.info/server-status/data.json"
default... | psykzz/cogs | nw_server_status/server_status.py | server_status.py | py | 8,630 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "redbot.core.commands.Cog",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "re... |
15366112732 | import numpy as np
import os
try:
import welib.fastlib.fastlib as fastlib
except:
import fastlib
def CPLambdaExample():
""" Example to determine the CP-CT Lambda Pitch matrices of a turbine.
This scrip uses the function CPCT_LambdaPitch which basically does the same as ParametricExample
above.
... | rhaghi/welib | welib/fastlib/_examples/Example_CPLambdaPitch.py | Example_CPLambdaPitch.py | py | 1,520 | python | en | code | null | github-code | 6 | [
{
"api_name": "numpy.linspace",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "fastlib.CPCT_LambdaPitch",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyp... |
72531866429 | from typing import Final
import sqlalchemy as sa
from sqlalchemy.dialects.postgresql import JSONB
from ._common import column_created_datetime, column_modified_datetime
from .base import metadata
# Intentionally includes the term "SECRET" to avoid leaking this value on a public domain
VENDOR_SECRET_PREFIX: Final[str... | ITISFoundation/osparc-simcore | packages/postgres-database/src/simcore_postgres_database/models/services_environments.py | services_environments.py | py | 2,469 | python | en | code | 35 | github-code | 6 | [
{
"api_name": "typing.Final",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Table",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "base.metadata",
"line_number": 22,
"usage_type": "argument"
},
{
"api_name": "sqlalchemy.Column",
... |
1921452426 | import pyomo.environ as pe
from lci import LifeCycleInventory
from superstructure import Superstructure
from utils.properties import molar_weight
from utils.utils import sum_rule
from utils.save_results import ResultManager
from utils.solve_model import Solver
import time as time
import pickle
def range_len(start, st... | jkleinekorte/millgas2what | src/repeated_solving_el_impact.py | repeated_solving_el_impact.py | py | 15,332 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "lci.LifeCycleInventory",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "lci.model",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "pyomo.environ.ConcreteModel",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pyo... |
70106082748 | '''
1. import opencv
2. load image
3. load model
4. adjuct image gray
5. Check and mark face
3. create window
4. show image
5. pause window
6. close window
'''
import numpy as np
import cv2
# print(cv2.__version__)
# Load image
img = cv2.imread("./images/ufc.jpeg")
# Load model
face_cascade = cv2.C... | benjaminhuanghuang/opencv-study | cv-find-face.py | cv-find-face.py | py | 900 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.imread",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cv2.CascadeClassifier",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
... |
36849582573 | import os
os.chdir("/home/ghiggi/Projects/deepsphere-weather")
import sys
sys.path.append("../")
import shutil
import argparse
import dask
import glob
import time
import torch
import zarr
import numpy as np
import xarray as xr
## DeepSphere-Weather
from modules.utils_config import read_config_file
from modules.utils... | deepsphere/deepsphere-weather | dev/w_debug_predictions.py | w_debug_predictions.py | py | 15,927 | python | en | code | 56 | github-code | 6 | [
{
"api_name": "os.chdir",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number":... |
2727040132 | import pathlib
data_folder = pathlib.Path('data')
# print(data_folder.exists(), data_folder.is_dir())
def make_text(i):
text = ""
text += str(i) + "\n"
text += str(i * 24) + "\n"
text += (i * 12) * "#"
return text
for i in range(20):
label = str(i).zfill(4) + "." + ("ihatezoom" * i)
f = ... | elliewix/IS305-2022-Fall | week 5/monday.py | monday.py | py | 399 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 16,
"usage_type": "call"
}
] |
7265936310 | import pandas as pd
import numpy as np
from matplotlib import pyplot as plt
from pylab import *
mpl.rcParams['font.sans-serif'] = ['SimHei']
res = {}
for i in range(1, 16): # 统计15天的新增人数
fileNameStr = './202012' + str(i).zfill(2) + '.csv' # 产生文件名进行读取
df = pd.read_csv(fileNameStr, encoding='utf-8')
df['in... | Seizzzz/DailyCodes | Course 202009/Python/final/c.py | c.py | py | 1,009 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.int",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.title",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyp... |
73944785148 | import pathlib
import numpy as np
import h5py
import cv2
import argparse
def load_episodes(directory, capacity=None):
# The returned directory from filenames to episodes is guaranteed to be in
# temporally sorted order.
filenames = sorted(directory.glob('*.npz'))
if capacity:
num_steps = 0
... | conglu1997/v-d4rl | conversion_scripts/npz_to_hdf5.py | npz_to_hdf5.py | py | 2,833 | python | en | code | 64 | github-code | 6 | [
{
"api_name": "numpy.load",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"lin... |
17371120296 | import json
from django.urls import reverse
from rest_framework import status
from rest_framework.test import APITestCase, APIClient
from django.contrib.auth import get_user_model
from rest_framework_simplejwt.tokens import RefreshToken
User = get_user_model()
AUTHOR = 'author'
EXECUTOR = 'executor'
AUTHOR_EMAIL = '... | vavsar/freelance_t | tests/users/test_views.py | test_views.py | py | 4,583 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.reverse",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "rest_framework.test.APITestCase",
"line_number": 25,
"usage_type": "name"
},
{
... |
42510539573 | import os
from cffi import FFI
from OpenSSL.SSL import Context as SSLContext, _ffi, _lib as lib
from utils import OutputGrabber
ffi = FFI()
NULL = ffi.NULL
ffi.cdef(
"int SSL_CTX_set_client_cert_engine(void *ctx, void *e);"
"int ENGINE_set_default(void *e, unsigned int flags);"
)
libcrypto = ffi.dlopen("libcr... | jose-pr/openssl-engines | src/openssl_engines.py | openssl_engines.py | py | 4,561 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cffi.FFI",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cffi.FFI.CData",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "cffi.FFI",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "OpenSSL.SSL._lib.ENGINE_init",
... |
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