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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
41957950588 | # encoding: UTF-8
"""
包含一些开发中常用的函数
"""
import os
import decimal
import json
from datetime import datetime
import sys
MAX_NUMBER = 10000000000000
MAX_DECIMAL = 4
def getRootPath():
path = ''
for i in range(1,10):
path = os.path.abspath(os.path.dirname('../'*i))
path = path
if os.path.exists(path+'/log/') a... | suixinio/marketMaker | prj/common/vtFunction.py | vtFunction.py | py | 2,048 | python | en | code | 15 | github-code | 21 | [
{
"api_name": "os.path.abspath",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"li... |
46821849964 | # Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://docs.scrapy.org/en/latest/topics/item-pipeline.html
# useful for handling different item types with a single interface
from itemadapter import ItemAdapter
import json
import os
#合约及其地址信息存储位置
ADDRESS_D... | xf97/HuangGai | src/contractSpider/contractCodeGetter/contractCodeGetter/pipelines.py | pipelines.py | py | 1,845 | python | en | code | 32 | github-code | 21 | [
{
"api_name": "json.loads",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 57,
... |
20227643611 | import utils
KEY = b"YELLOW SUBMARINE"
BLOCKSIZE = 16
with open("10.txt", "r") as file:
lines = file.readlines()
cipher = "".join([line[:-1] for line in lines])
plain = utils.AES_CBC_decrypt(KEY, b"\x00"*BLOCKSIZE, utils.b64Decode(cipher))
print(plain) | max644/matasano | 10.py | 10.py | py | 259 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "utils.AES_CBC_decrypt",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "utils.b64Decode",
"line_number": 11,
"usage_type": "call"
}
] |
15955633262 | import warnings
from typing import List, Mapping, Optional
import arrow
from vital.api.api import API
class Sleep(API):
"""Endpoints for getting sleep data."""
def get(
self,
user_id: str,
start_date: str,
end_date: Optional[str] = "",
provider: Optional[str] = "",
... | tryVital/vital-python | vital/api/sleep.py | sleep.py | py | 2,259 | python | en | code | 8 | github-code | 21 | [
{
"api_name": "vital.api.api.API",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "typing.Mapping",
... |
23634291972 | import config
import storage
import logging
import hashlib
from flask import Flask, render_template, request, session
from flask.json import jsonify
from google.cloud.storage import Blob
from search_api import SearchAPI
app = Flask(__name__)
app.config.from_object(config)
# store of recipes
recipes = SearchAPI()
# ... | cleathart/Cloud-project | main.py | main.py | py | 2,965 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "search_api.SearchAPI",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "storage.upload_file",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "flask.render_tem... |
3163604486 | import os
import requests
apiKey = os.getenv('API_KEY')
headers = {
'X-API-Key': apiKey,
'Content-Type': 'application/json',
'Accept': 'application/json',
}
data = '{\n "texts": ["Just try it mate.","What are you waiting for?"],\n "to": ["pt-BR", "de"],\n "from": "en"\n }'
respon... | lecto-ai/docs | examples/python/request.py | request.py | py | 457 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.getenv",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 14,
"usage_type": "call"
}
] |
20693732017 | import cv2
import numpy as np
import HandTrackingModule as htm
import time
import autopy
########################
wScr,hScr = autopy.screen.size()
wCan, hCan = 640,480
frameR = 100
smothening = 3
########################
plocX,plocY = 0,0
clocX,clocy = 0,0
cap = cv2.VideoCapture(0)
cap.set(3,wC... | WellingtonDev25/ShootingGameAI | AIPlayGame.py | AIPlayGame.py | py | 1,460 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "autopy.screen.size",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "autopy.screen",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "HandTrackingModu... |
26560654291 | import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import scipy.stats
PRIOR = 'norm'
# csv save data path. Will NOT overwrite if it already exists!
TRACE_PATH = ('/home/mike/research/ac6_microburst_scale_sizes/models/mcmc_traces'
f'/mcmc_weibull_{PRIOR}_trace.csv')
df = pd.read_csv(TRA... | mshumko/ac6_microburst_scale_sizes | models/plot_weibull_dist.py | plot_weibull_dist.py | py | 1,095 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.random.choice",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "numpy.linspace"... |
73571969012 | import os
from five_paisa import *
import time,json,datetime,sys
import xlwings as xw
import pandas as pd
import copy
import numpy as np
import time
import requests
import dateutil.parser
import threading
from datetime import datetime,timedelta
import pandas_ta as pta
import math
from pandas import DataFrame, Series... | mkbairwa/mkbairwa | strategy/Breakout_for_opt.py | Breakout_for_opt.py | py | 56,769 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.options",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "datetime.timedelta",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pandas.bdate_range",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "pandas.set_... |
72492590773 | #!/bin/python
from bs4 import BeautifulSoup as BS
import re
soup = BS(open('pre.html'))
output = open('to_wz_pre.txt','w')
expression = []
predict = []
terminal = []
nTerminal = []
iid = []
cnt = 0
table = soup.table
ss = ''
for tr in table.find_all('tr'):
expr = re.sub(r'\s+',' ',tr.find('td',class_='expression... | DaytimeAH/My_SNLStudio | studio/MySNL/pg/to_wz.py | to_wz.py | py | 1,992 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "bs4.BeautifulSoup",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 34,
"usage_type": "call"
}
] |
25941916540 | # course: cmps3500
# CLASS Project
# PYTHON IMPLEMENTATION OF A CUSTOM STATISTICS SUMMARY CALCULATOR
# date: 09/10/09
# Student 1: Tawfic Jobah
# Student 2: Edgar Rosales
# Student 3: Dylan Anzaldo
# description: Implementation of a statistics summary Calculator
#sorting algorithm fr... | tawficJobah/programmingLanguages | calculatorProject.py | calculatorProject.py | py | 8,543 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "math.ceil",
"line_number": 102,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 117,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 139,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_num... |
36595508128 | from __future__ import absolute_import, print_function, unicode_literals
import sys
import threading
import halo.cursor as cursor
from halo import Halo
from halo._utils import colored_frame, decode_utf_8_text
class HaloNotebook(Halo):
def __init__(
self,
text="",
color="cyan",
t... | manrajgrover/halo | halo/halo_notebook.py | halo_notebook.py | py | 3,183 | python | en | code | 2,798 | github-code | 21 | [
{
"api_name": "halo.Halo",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "sys.stdout",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "ipywidgets.widgets.Output",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "halo.cursor.hide"... |
39342864311 | import numpy as np
try:
import cupy as cp
except ImportError:
cp = None
from kernel_tuner.observers.observer import BenchmarkObserver
class CupyRuntimeObserver(BenchmarkObserver):
"""Observer that measures time using CUDA events during benchmarking in the CuPy backend"""
def __init__(self, dev):
... | bouweandela/kernel_tuner | kernel_tuner/observers/cupy.py | cupy.py | py | 756 | python | en | code | null | github-code | 21 | [
{
"api_name": "kernel_tuner.observers.observer.BenchmarkObserver",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "cupy.cuda.get_elapsed_time",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "cupy.cuda",
"line_number": 23,
"usage_type": "attribute"
}... |
4540610192 |
import json
import numbers
import requests
class JSONError(Exception):
def __init__(self, msg):
super().__init__(msg)
class JSON(object):
def __init__(self, json_obj):
self.json_obj = json_obj
self.type = None
if type(self.json_obj) == str:
self.type = 'str'
elif type(self.json_obj) ==... | tmathmeyer/chromium-src-tools | lib/libjson.py | libjson.py | py | 1,957 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numbers.Number",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 78,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_nu... |
17064171413 | #!/usr/bin/python3
import os
import sys
import csv
import re
import math
from datetime import datetime
# THIS SCRIPT NEEDS AT LEAST PYTHON 3.8.
assert sys.version_info >= (3,8)
# Extracts graphs generated by GaussianCluster.
# The graphs is formatted into two files: nodesFile and edgesFile containing data for nodes ... | AutoPas/AutoPas | examples/md-flexible/scripts/extractClusterGraphSeparate.py | extractClusterGraphSeparate.py | py | 11,079 | python | en | code | 30 | github-code | 21 | [
{
"api_name": "sys.version_info",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number... |
70961871094 | import numpy as np
from pyquest_cffi import quest
import pytest
import mkl
mkl.set_num_threads(1)
env = quest.createQuESTEnv()
nqubits_list = range(4, 26)
def first_rotation(qubits, nqubits):
for k in range(nqubits):
quest.rotateX(qubits, k, np.random.rand())
quest.rotateZ(qubits, k, np.random.r... | qulacs/benchmark-qulacs | benchmark/singlethread/quest/benchmarks.py | benchmarks.py | py | 1,505 | python | en | code | 6 | github-code | 21 | [
{
"api_name": "mkl.set_num_threads",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pyquest_cffi.quest.createQuESTEnv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pyquest_cffi.quest",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": ... |
42684247808 | import os
from abc import ABC
from datetime import datetime, timedelta
from typing import List, Optional, Type
from aiogram import types
from . import states
from .properties import Properties
from bot.utils.ads.generator import get_ad
class Job(ABC):
"""Job with opportunity to change properties and confirm"""... | Drop-Team/InnoPrintBot | Bot/bot/utils/jobs/job.py | job.py | py | 3,935 | python | en | code | 18 | github-code | 21 | [
{
"api_name": "abc.ABC",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.Type",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "datetime.datetime",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "aiogram.types.Message",
"li... |
30649978754 | from pyrogram import Client, filters
from pyrogram.errors import FloodWait
from time import sleep
from defs import ran
from random import randint, choice as ch
app = Client("project")
global reg
reg = []
global sos
sos = 0
#запуск регистрации
@app.on_message(filters.command("lot", prefixes=".") & filters.me)
def lot... | PRO100-IVANOFF/USERBOT-FOR-LOTTERY | project/userbot/user.py | user.py | py | 4,000 | python | ru | code | 1 | github-code | 21 | [
{
"api_name": "pyrogram.Client",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "defs.ran",
"line_number": 32... |
41780582660 | from selenium import webdriver
from time import sleep
from selenium.webdriver.common.by import By
from selenium.webdriver.chrome.options import Options
import json
import pandas as pd
class SacombankCrawler:
def __init__(self) -> None:
self.options = Options()
self.options.headless = False
... | hongtienhaolk2001/Crawler_Tools | crawling_sacombank.py | crawling_sacombank.py | py | 11,476 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "selenium.webdriver.chrome.options.Options",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 27,
"usage_type": "call"
},
{
"ap... |
20727292362 | import io
from operator import mod
import sys
# 再帰用
# sys.setrecursionlimit(10**9)
_INPUT = """\
7 7 6
8 6 8
7 7 6
"""
sys.stdin = io.StringIO(_INPUT)
# ---------------------------------
import itertools
ll = []
for _ in range(3):
ll += map(int, input().split())
cand = [
# 横一列ずつ
(0, 1, 2),
(3, 4, ... | makima333/Atcoder-ganbaru | contest/abc319/C.py | C.py | py | 771 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.stdin",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "io.StringIO",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "itertools.permutations",
"line_number": 48,
"usage_type": "call"
}
] |
16089482195 | import streamlit as st
import numpy as np
import plotly.express as px
import streamlit as st
import altair as alt
import pandas as pd
from add_data import db_execute_fetch
def app():
st.title('APP2')
st.write('Welcome to app2')
def app():
st.title('Languages')
st.write('You can see the languages piec... | heavye/Day5_Challenge_10ac | lang.py | lang.py | py | 1,351 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "streamlit.title",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "streamlit.write",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "streamlit.title",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "streamlit.write",
... |
19073198002 | import os
import re
import tempfile
import shutil
import configparser
from threading import Thread
import pytest
from maninex import maninex
CONF_CONTENT = '''
[directories]
extension_dir = none
json_dir = /usr/share/inox/extensions
[extensions]
cjpalhdlnbpafiamejdnhcphjbkeiagm
pkehgijcmpdhfbdbbnkijodmdjhbjlgp
egnjhc... | InspectorMustache/maninex | tests/test_maninex.py | test_maninex.py | py | 4,126 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "tempfile.mkdtemp",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "tempfile.mkdtemp",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "tempfile.mkstemp",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "configparser.Confi... |
23110094361 | import editdistance
from functools import partial
import matplotlib.pyplot as plt
import numpy as np
import random
import tensorflow as tf
from tqdm import trange
class Vocab(object):
def __init__(self, tokens, bos='__BOS__', eos='__EOS__', sep=''):
""" handles tokenizing and detokenizing """
ass... | markmo/dltemplate | src/rl/rl_for_seq2seq/util.py | util.py | py | 15,483 | python | en | code | 57 | github-code | 21 | [
{
"api_name": "numpy.zeros",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "tensorflow.get_default_session",
"line_number": 94,
"usage_type": "call"
},
{
"api_name": "tensorflow.global_variables",
"line_number": 95,
"usage_type": "call"
},
{
"api_name":... |
13009859994 | import torch
from math import sqrt
import numpy as np
from torch_geometric.data import Data
def KNN_classify(k, X_set, x):
"""
k:number of neighbours
X_set: the datset of x
x: to find the nearest neighbor of data x
"""
distances = [sqrt(np.sum((x_compare-x)**2)) for x_compare in X_set] # cal... | yanshen0210/DGAT-LPS | datasets/Generator.py | Generator.py | py | 1,373 | python | en | code | 23 | github-code | 21 | [
{
"api_name": "math.sqrt",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.argsort",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 29... |
37690725662 | import pandas as pd
import streamlit as st
import numpy as np
st.set_page_config(
page_title="Oh Snap! Card Rules"
)
# CSS to inject contained in a string
hide_table_row_index = """
<style>
thead tr th:first-child {display:none}
tbody th {display:none}
</style>
"""
... | kmm2600/card_rules | streamlit_app.py | streamlit_app.py | py | 1,339 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "streamlit.set_page_config",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "streamlit.markdown",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "streamlit.markdown",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pandas... |
13370825540 | # from replit import db
from discord.ext import commands
import globals as gl
class Requests(commands.Cog):
# commands associated with memes
def __init__(self, bot):
self.bot = bot
self._last_member = None
if 'requests' not in gl.db.keys():
gl.db['requests'] = {}
if ... | clevs1363/MO-Bot | src/Requests.py | Requests.py | py | 5,370 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "globals.db.keys",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "glob... |
73677475574 | # plot the CC
import pygmt
import os
from obspy import read
basedir = 'Sanxia'
# 定义需要绘图的文件
ccfile = basedir+os.sep+'Events'+os.sep+'WaveformCC'+os.sep+'draw.cc3'
dirf = basedir+os.sep+'Events'+os.sep+'IdDirFiles'+os.sep+'iddir.dat'
pygmt.config(FONT='7p,black',FONT_ANNOT='7p,black',FONT_LABEL='7p,black')
with open(ccf... | Luojiahong/PyBCSEIS | plotbcseis.py | plotbcseis.py | py | 3,823 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "os.sep",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.sep",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pygmt.config",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.sep",
"line_number": 25,
... |
32642424095 | from nltk import *
from nltk.corpus import stopwords
import docx
import string
def input_doxc():
data_docx = docx.Document('input.docx')
data = []
for paragraph in data_docx.paragraphs:
data.append(paragraph.text)
data = ' '.join(data)
return data
def graphematic_analiz(data):
l... | SeemerGG/computational_linguistics | Lab_1/Lab_1/Lab_1.py | Lab_1.py | py | 1,351 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "docx.Document",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "string.punctuation",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "nltk... |
18172437968 | import numpy as np
from copy import copy, deepcopy
from scipy.stats import norm
from spikesorting_fullpursuit import neuron_separability
from spikesorting_fullpursuit.consolidate import SegSummary
from spikesorting_fullpursuit.preprocessing import calculate_robust_template
from spikesorting_fullpursuit.parallel.segment... | njh27/spikesorting_fullpursuit | spikesorting_fullpursuit/full_binary_pursuit.py | full_binary_pursuit.py | py | 24,675 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "numpy.arange",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.int64",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "numpy.arange",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.int64",
"line_nu... |
73988109813 | """Number of variant per sample in vcf file
Author: Shujia Huang
Date: 2021-04-19 15:08:42
"""
import argparse
import gzip
import sys
import re
from datetime import datetime
if __name__ == "__main__":
START_TIME = datetime.now()
cmdparser = argparse.ArgumentParser(description="Number of variant per sample i... | ShujiaHuang/genotools | genotools/vcf_hethom.py | vcf_hethom.py | py | 2,837 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "datetime.datetime.now",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "gzip.... |
74243097972 | from typing import TYPE_CHECKING
import numpy as np
from pyuff_ustb.objects.scans.scan import Scan
from pyuff_ustb.objects.uff import compulsory_property, dependent_property
from pyuff_ustb.readers import LazyArray
if TYPE_CHECKING:
# Make sure properties are treated as properties when type checking
compulso... | magnusdk/pyuff_ustb | pyuff_ustb/objects/scans/linear_scan.py | linear_scan.py | py | 2,997 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "pyuff_ustb.objects.uff.compulsory_property",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pyuff_ustb.objects.uff.dependent_property",
"line_number": 13,
"usage_type... |
8943408420 | from django.shortcuts import render, redirect
from django.http import HttpResponse, JsonResponse
from rest_framework.serializers import Serializer
from inicio.models import Producto, Categoria, Valorizacion
from inicio.forms import ProductoForm
from .forms import ValorizacionForm
from . import forms
from django.http im... | puduckey/python_page_crud_mysql | inicio/views.py | views.py | py | 6,795 | python | es | code | 0 | github-code | 21 | [
{
"api_name": "inicio.models.Producto.objects.all",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "inicio.models.Producto.objects",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "inicio.models.Producto",
"line_number": 20,
"usage_type": "name"
... |
17466256562 | """This is a prototype that displays different attributes of the feature vectors that have been obtained from the riot api. These features are
displayed as a distribution.
"""
import pymongo
from tensorflow import keras
from tensorflow.keras import layers
import numpy as np
from sklearn.model_selection import train_tes... | sudarshanvankudre/league-match-prediction | prototype.py | prototype.py | py | 2,489 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.t... |
36099867555 | import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--label_path', '--path', default=None,type=str, help="labeln_dir")
parser.add_argument('--out_path', '--output', default=None,type=str, help="labeln_dir")
args = parser.parse_args()
with open(args.label_path) as f:
lines=f.readlines()
li... | chiahuilin0531/yolov4-tflite | data/dataset/sort.py | sort.py | py | 418 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 3,
"usage_type": "call"
}
] |
5181440652 | import argparse
from datetime import datetime, timedelta
import json
import sys
import urllib.parse
import urllib.request
def fetch(url):
headers = {
'Authorization': 'Bearer {}'.format(args.apikey)
}
url = urllib.parse.urljoin('https://api.aleth.io/', url)
print('.', end='', flush=True, file=... | meronym/eth-counterparties | scan.py | scan.py | py | 2,755 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "urllib.parse.parse.urljoin",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "urllib.parse.parse",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "urllib.parse",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "sys.s... |
73034960693 | # Authors : Alexandre Gramfort, alexandre.gramfort@telecom-paristech.fr (2011)
# Denis A. Engemann <denis.engemann@gmail.com>
# License : BSD 3-clause
import numpy as np
from ..parallel import parallel_func
from ..io.pick import _pick_data_channels
from ..utils import logger, verbose, _time_mask
from ..fixe... | LiuFang816/SALSTM_py_data | python/mne-tools_mne-python/mne-python-master/mne/time_frequency/psd.py | psd.py | py | 11,027 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "epochs.BaseEpochs",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "io.base.BaseRaw",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "evoked.Evoked",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "utils._time_mask",
... |
38594229236 | import util
import matplotlib.pyplot as plt
import matplotlib
def dirname(param, a, b, prec):
return "inverse_power" + param + "_a" + a + "_b" + b \
+ "_EMh_qf_prec" + str(prec)
param = ["0.5", "1", "2"]
log2a = [-1, -10]
a = [str(2**e) for e in log2a]
b = "1"
prec = [248, 184]
ymin = [1e-50, 1e-30]... | ymkoyama/fcmf | fig5.py | fig5.py | py | 1,909 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "util.print_sys_version",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "util.read_float",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "util.read_float2",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "util.read_flo... |
24161206573 | from matplotlib.lines import Line2D
import datetime
# Set the marker fill style
# fillstyle: ['full' | 'left' | 'right' | 'bottom' | 'top' | 'none']
# drawstyle: [ 'default' | 'steps' | 'steps-pre' | 'steps-mid' | 'steps-post' ]
# linestyle: [ '-' | '--' | '-.' | ':' | 'None' | ' ' | '' ]
_SUPPORTED_ARGS = dict(draws... | gavriva/pyview | sview/line.py | line.py | py | 2,422 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "matplotlib.lines.Line2D",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 75,
"usage_type": "attribute"
}
] |
32684651716 | ########################################################################
# File name: listen_pep.py
# This file is part of: aioxmpp
#
# LICENSE
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as
# published by the Free Software Found... | horazont/aioxmpp | examples/listen_pep.py | listen_pep.py | py | 2,545 | python | en | code | 215 | github-code | 21 | [
{
"api_name": "framework.Example",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "io.BytesIO",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "aioxmpp.disco.xml.write_single_xso",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "aioxm... |
28421553079 | import adsk.core, adsk.fusion, adsk.cam, traceback
from datetime import datetime
from pathlib import Path
from typing import NamedTuple, List, Set
import re
import hashlib
import os
handlers = []
class Ctx(NamedTuple):
''' Context manager. Passed between functions to provide paramaters
'''
folder: str
... | MOAMIndustries/F360_Stl_Exporter | Body exporter.py | Body exporter.py | py | 8,475 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.NamedTuple",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "adsk.core.core",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "adsk.core",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "adsk.core.fusion.Desi... |
21574940958 |
from zone import Zone, MainZone, Cell, Cartesian
from conversion import RadixBase, ndigit_for_radix, NumberView
import copy
import json
import sys
from typing import List, Optional, Union, Any, Tuple, Dict
class MetaZone(MainZone):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
... | GGTT2/DISHAS | web/pythonScript/metazone.py | metazone.py | py | 14,783 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "zone.MainZone",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_num... |
1780799313 | import datetime
from django import http
from django.core.urlresolvers import reverse
from django.http import HttpResponse, HttpResponseRedirect
from django.shortcuts import render_to_response
from django.template.context import RequestContext
from django.core.cache import cache
"""
Aimed at extracting information abou... | pathakamit88/memcacheinfo | views.py | views.py | py | 5,874 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "django.http.Http404",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "django.http",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "django.core.cache.cache.clear",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "dj... |
16120933670 | import functools
from os import path
import time
from absl import app
import flax
from flax.metrics import tensorboard
from flax.training import checkpoints
from internal import configs, datasets, math, models, utils, vis # pylint: disable=g-multiple-import
import jax
from jax import random
import numpy as np
from sk... | leejaeyong7/regnerf | write.py | write.py | py | 4,681 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "internal.configs.define_common_flags",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "internal.configs",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "jax.config.parse_flags_with_absl",
"line_number": 22,
"usage_type": "call"
},
{... |
39096530423 | from django.shortcuts import render, redirect
from .models import Maincategory, Subcategory, Products,Post_advertise,Blog
from .form import MaincategoryForm, SubcategoryForm,ProductsForm,AddsproductForm,AddBlogForm
from django.http import HttpResponse
from profiles.models import User
from django.contrib.auth.decor... | gajanan0707/PythonDjangoFarming | admin_owner/views.py | views.py | py | 7,692 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "models.Blog.objects.all",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "models.Blog.objects",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "models.Blog",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "django.s... |
14902312653 | #!/usr/bin/python
#
# A simple recursive file revision control system.
# Simple: it's a tiny subset of other revision control systems.
# Recursive: operates on the current working directory and subdirectories.
#
# Usage:
#
# Archive.py init
#
# Create a repository in the current working directory.
# The repository... | DoctorLoki/tools | Archive.py | Archive.py | py | 15,140 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.sep",
"line_number": 113,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 143,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"line_number": 158,
"usage_type": "call"
},
{
"api_name": "sys.stdout.write",
"line_nu... |
73894079733 | # -*- coding: utf8 -*-
# @Time : 2020/5/9 20:46
# @Author : Wu Tianyu
# 图片
import numpy as np
from matplotlib import pyplot as plt
import cv2
def cv_test01():
img = cv2.imdecode(np.fromfile("F:\\腾讯\\图\\80780817_p0.png", dtype='uint8'), -1)
if img is None:
print("图片路径错误")
cv2.namedWindow("image... | CynicalHeart/PyLearn | CV_Learn/GUI_Learn01.py | GUI_Learn01.py | py | 841 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cv2.imdecode",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.fromfile",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.namedWindow",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cv2.WINDOW_AUTOSIZE",
... |
74871147571 | from flask import Flask
from flask_sqlalchemy import SQLAlchemy
from flask_login import LoginManager
from werkzeug.utils import secure_filename
import os
# init SQLAlchemy to use it later
db = SQLAlchemy()
# create media route to store files
UPLOAD_FOLDER = ""
if os.name == "posix":
# media root in linux
UPL... | alex-chinche/file_manager | project/__init__.py | __init__.py | py | 1,313 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.name",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.name",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
... |
16089385355 | from datetime import delta, timedelta
import airflow
from airflow import DAG
from airflow.operators.bash_operator import BashOperator
default_args = {
'owner' : 'airflow',
'start_date' : airflow.utils.dates.days_ago(2),
# 'end_date' : datetime(2020, 12, 30),
'depends_on_past' : False,
'email' : ['a... | heavye/Data-warehouse-tech-stack-with-MySQL-DBT-Airflow-and-Spark | dag.py | dag.py | py | 1,460 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "airflow.utils.dates.days_ago",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "airflow.utils",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "datetime.timedelta",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "airf... |
23697996640 | import matplotlib.pyplot as plt
import numpy as np
from sklearn import datasets
dataset = datasets.load_digits()
x_data = dataset.data
y_data = dataset.target
K = 11
fig, axes = plt.subplots(3, 3, figsize=(10, 10))
for ax_idx, ax in enumerate(axes.flatten()):
ax.imshow(x_data[ax_idx].reshape(8, 8),
... | yeongun130/Python | py_sklearn.py | py_sklearn.py | py | 1,076 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sklearn.datasets.load_digits",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 10,
"usage_type": "call"
},
{
"api_name":... |
31301994494 | import argparse
import random
import numpy as np
import torch
from trainer import (
CBHGTrainer,
Seq2SeqTrainer,
)
SEED = 1234
random.seed(SEED)
np.random.seed(SEED)
torch.manual_seed(SEED)
torch.cuda.manual_seed(SEED)
torch.backends.cudnn.deterministic = True
torch.backends.cudnn.benchmark = False
def tra... | almodhfer/Arabic_Diacritization | train.py | train.py | py | 1,152 | python | en | code | 29 | github-code | 21 | [
{
"api_name": "random.seed",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "torch.manual_seed",
... |
29054343386 | from django.contrib import admin
from main.models import (
Cabinet, Position, Employee, Schedule, PosHeld, Floor, Degree
)
from django.contrib.staticfiles.templatetags.staticfiles import static
from django.utils.safestring import mark_safe
from django.template.loader import get_template
from main.forms impor... | Smet1/bmstuback | bmstumap_admin/main/admin.py | admin.py | py | 1,919 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.register",
"line_number": 11,
"usage_type": "call"
},
... |
3358790802 | from django.contrib.auth.mixins import LoginRequiredMixin
from django.http import JsonResponse
from django.views.generic import View
from YtManagerApp.management.jobs.synchronize import SynchronizeJob
from YtManagerApp.models import Video, Subscription
class SyncNowView(LoginRequiredMixin, View):
def post(self, ... | chibicitiberiu/ytsm | app/YtManagerApp/views/actions.py | actions.py | py | 1,581 | python | en | code | 308 | github-code | 21 | [
{
"api_name": "django.contrib.auth.mixins.LoginRequiredMixin",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.views.generic.View",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "YtManagerApp.management.jobs.synchronize.SynchronizeJob.schedule_now_for_su... |
14405141299 | import torch.nn as nn
import torch
class AutoEncoder(nn.Module):
def __init__(self):
super(AutoEncoder, self).__init__()
in_channels = 64 * 64 * 64
out_channels = 128 #256 #1024 #64
#Encoder
self.flat = nn.Flatten()
self.en1 = nn.Linear(in_channels, out_channels)
... | MASILab/DeepN4 | src/scratch/model_AE.py | model_AE.py | py | 983 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "torch.nn.Flatten",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_num... |
6206153191 | from collections import namedtuple
def compare_text_files(edw_file, skills_file):
""" reads text files and converts each to a set and then checks for differences """
with open(edw_file, 'r') as f:
edw_data = f.readlines()
edw_uids = {row for row in edw_data}
with open(skills_file, 'r') as ... | rlee21/snippets | python/namedtupled.py | namedtupled.py | py | 773 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.namedtuple",
"line_number": 15,
"usage_type": "call"
}
] |
38456345301 | from selenium import webdriver
from selenium.webdriver.firefox.options import Options
import pandas as pd
import time, re, json, sys, datetime, os
from configparser import ConfigParser
###### SIDE COURSE #######
def progress(current, end):
tot_len = 30
percentage = current / float(end)
filled_len = int(r... | lukefreeman42/ChaturBot | chaturbot.py | chaturbot.py | py | 7,669 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.stdout.write",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "sys.stdout.flush",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"l... |
73026995893 | from __future__ import print_function
"""
Distribution definition for Cartopy.
"""
import setuptools
from setuptools import setup, Extension
from setuptools import Command
from setuptools import convert_path
from distutils.spawn import find_executable
from distutils.sysconfig import get_config_var
import fnmatch
imp... | LiuFang816/SALSTM_py_data | python/SciTools_cartopy/cartopy-master/setup.py | setup.py | py | 14,877 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "setuptools.dist.Distribution",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "setuptools.dist",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "sys.version_info",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name"... |
23540311362 | from sklearn.neighbors import NearestNeighbors
from scipy.spatial import distance
import numpy as np
import os
from copy import deepcopy
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import matplotlib.collections as mc
from scipy.io import savemat
from sklearn.metrics.pairwise import pairwise... | nrkarthikeyan/topology-decision-boundaries | src/TopologicalData.py | TopologicalData.py | py | 31,872 | python | en | code | 26 | github-code | 21 | [
{
"api_name": "matplotlib.use",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "common_utils.create_dir_if_not_exist",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "common_utils.create_dir_if_not_exist",
"line_number": 52,
"usage_type": "call"
},
... |
22813707567 | """
bilibili_api.login_func
登录功能相关
"""
import enum
import json
import uuid
import threading
from typing import Tuple, Union
import requests
from . import login
from .utils.utils import get_api
from .exceptions import LoginError
from .utils.picture import Picture
from .utils.credential import Crede... | Nemo2011/bilibili-api | bilibili_api/login_func.py | login_func.py | py | 5,362 | python | zh | code | 1,410 | github-code | 21 | [
{
"api_name": "utils.utils.get_api",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "enum.Enum",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "utils.picture.Picture.from_file",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "ut... |
71534333814 | import wandb
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import accuracy_score
from sklearn.metrics import f1_score
import pandas as pd
def run():
df_train = pd.read_csv('../data/s_train.csv')
df_valid = pd.read_csv('../data/s_valid.csv')
# df_test = pd.read_csv('../data/s_val... | berkegocmen/wesad | src/stepwise_lr.py | stepwise_lr.py | py | 1,705 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "wandb.init",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "wandb.run",
"line_numbe... |
36474600701 | import numpy as np
import tensorflow.keras.callbacks
from matplotlib import pyplot as plt
def plot_history(history: tensorflow.keras.callbacks.History) -> None:
"""
Method to plot the training and validation accuracy over the different epochs.
Args:
history: history returned by training the model
... | nadbot/Exploring-Convolutional-Neural-Networks-for-Voice-Activity-Detection | train.py | train.py | py | 1,248 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "tensorflow.keras.callbacks.keras",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras.callbacks",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 12,
"usage_type": "call"
},
{
... |
18776622637 | ''' this script works with CPU or single GPU
'''
from __future__ import print_function
import time
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
import random
import numpy as np
import scipy.io
import argparse
import os
import gflags
import sys
# Matplotlib
import ... | qidigit/Physics-Informed-Data-Driven-Algorithm-for-Ensemble-Forecast | pred_dyad_condGau.py | pred_dyad_condGau.py | py | 13,063 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "matplotlib.rcParams",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.rc",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "matplotl... |
13859891750 | import asyncio
import json
import time
import logging
import contextlib
log = logging.getLogger(__name__) # Log under current position in hierarchy
class SocketReader:
def __init__(self, settings, loop=None,):
self.ip = settings['ip']
self.port = settings['port']
self.command = settings.get... | jmosbacher/direxino_monitor | readers.py | readers.py | py | 2,756 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "asyncio.get_event_loop",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "asyncio.open_connection",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "json.... |
24069671250 | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="restutil-tjdaley", # Replace with your own username
version="0.0.3",
author="Thomas J. Daley",
author_email="tdaley@daleyfound.org",
description="API for accessing my restutil service",
... | tjdaley/restutil_api | setup.py | setup.py | py | 786 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "setuptools.setup",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 15,
"usage_type": "call"
}
] |
38135371817 | from flask import Flask, request, jsonify
from prj125 import getPrediction
app = Flask(__name__)
@app.route("/preditic-alpha", methods = ["POST"])
def predictData():
image = request.files.get("alpha")
prediction = getPrediction(image)
return jsonify({
"Prediction": prediction
... | AmoghMerudi/Project125 | app.py | app.py | py | 385 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask.request.files.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.request.files",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "flask.reque... |
8490665201 | from __future__ import unicode_literals
from django.conf import settings
from django.contrib.contenttypes.fields import GenericForeignKey, GenericRelation
from django.contrib.contenttypes.models import ContentType
from django.db import models
# Create your models here.
from rest_framework import permissions
from cor... | gafusss/technotrack_web_sem2 | src/m_like/models.py | models.py | py | 3,050 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "core.models.DeletableMixin",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "m_event.models.CreateEventOnCreateMixin",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "rest_framework.permissions.SAFE_METHODS",
"line_number": 25,
"usage_ty... |
18293493432 | import torch
import torch.nn as nn
from torch.nn import init
from torch.nn import functional as F
import functools
from torch.optim import lr_scheduler
import torchvision.models as models
###############################################################################
# Helper Functions
################################... | ms903-github/ACAL-pytorch | libs/models.py | models.py | py | 25,408 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "functools.partial",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.nn.BatchNorm2d",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "functools.partia... |
71279083894 | from web3 import Web3, HTTPProvider
from crypto_commando.daemon.service import get_contract, cvxCRV_rewardsconvex
from crypto_commando.config import NETWORKS
ETH_MAINNET = NETWORKS[0]
# HTTPProvider:
w3 = Web3(HTTPProvider(ETH_MAINNET.get("https_url")))
def test_contract():
weth = Web3.toChecksumAddress("0xC02a... | citadelgrad/crypto-commando | tests/daemon/test_service.py | test_service.py | py | 539 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "crypto_commando.config.NETWORKS",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "web3.Web3",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "web3.HTTPProvider",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "web3.Web3.to... |
14968303555 | import os, sys, random, os.path
import re, textwrap
from optparse import OptionParser
from io import open
Z = os.path.basename(sys.argv[0])
__version__ = '1.0.2'
__doc__ = """
%s [options] input-file
%s is a python script to generate type-safe getopt_long() option parsing
routines.
Version: %s
Author: Sudhi Herle <... | opencoff/portable-lib | tools/mkgetopt.py | mkgetopt.py | py | 44,096 | python | en | code | 36 | github-code | 21 | [
{
"api_name": "os.path.basename",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr.write",
"line... |
14405184512 | import time
from .const import DOMAIN, LOGGER
from .helpers import format_mqtt_message, get_val_from_str
from homeassistant.core import HomeAssistant, Context, callback
from homeassistant.helpers.script import Script
from homeassistant.helpers.condition import async_template as template_condition
from homeassistant.hel... | Sian-Lee-SA/Home-Assistant-Switch-Manager | custom_components/switch_manager/models.py | models.py | py | 15,945 | python | en | code | 140 | github-code | 21 | [
{
"api_name": "homeassistant.core.HomeAssistant",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "homeassistant.helpers.template.Template",
"line_number": 17,
"usage_type": "argument"
},
{
"api_name": "homeassistant.helpers.condition.async_template",
"line_number": ... |
15527519594 | import requests
import json
import sys
import lxml.html as lh
import datetime as dt
import base64
import random
import time
#constants
urlBase = "https://webapp.library.uvic.ca/studyrooms/"
header={'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:60.0) Gecko/20100101 Firefox/60.0'}
groupNames = ['Literature ... | RcrossF/BookingBot | book.py | book.py | py | 9,298 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "random.randrange",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 3... |
4123124707 | import asyncio
import types
import pytest
from ipc import rpc, utils
from ipc.rpc.client_commands import ClientCommands
@pytest.fixture
def client() -> rpc.Client:
return rpc.Client('', 0)
@pytest.mark.asyncio
async def test_rpc_client_invoke(
client: rpc.Client, event_loop: asyncio.AbstractEventLoop
) ->... | tinoy1336/py-ipc | tests/test_rpc_client.py | test_rpc_client.py | py | 1,466 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "ipc.rpc.Client",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "ipc.rpc",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "pytest.fixture",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "ipc.rpc.Client",
"line... |
2216560488 | import pandas as pd
import numpy as np
from tqdm import tqdm
from scipy.spatial.distance import pdist
from scipy.optimize import minimize_scalar
from sklearn.metrics import silhouette_score
from sklearn.cluster import KMeans
from .metrics import mean_absolute_error
class MemoryCollaborativeFilter:
def __init__(... | Csuarezgurruchaga/TESIS-HYBRID-RECOMMENDER-SYSTEM | source/utils/collaborative_filtering.py | collaborative_filtering.py | py | 29,048 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "scipy.spatial.distance.pdist",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 65,
"usage_type": "attribute"
},
{
"api_name": "pandas.pivot_table",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": ... |
14404159624 | """ Parts of the U-Net model """
import torch
import torch.nn as nn
import torch.nn.functional as F
from typing import Type, Any, Callable, Union, List, Optional
class Unet_backbone(nn.Module):
"""(convolution => [BN] => ReLU)"""
def __init__(self, in_channels, out_channels):
super().__init__()
... | ilcessadecalcular/attention_seg | model_1/raw/unet_parts.py | unet_parts.py | py | 6,829 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numb... |
43062733672 | '''
RWExtractSCC - Extract information from SSC and populate Elastic tables - pull new information if either scandate changed or counts changed
'''
'''
Initialization and setup/configuration - includes establishing authorization
'''
from RWSSC_Utils import sscUtils
from RWSSCESutil import SSCESUtils
from RW... | gatsalt/FDRewrite | RWExtractSSC.py | RWExtractSSC.py | py | 8,789 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "json.load",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "configLogging.configLogging",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "RWSSC_Utils.sscUti... |
663878943 | import requests
import re
proxies={"http":"http://127.0.0.1:8888"}
sessions=requests.session()
response1=sessions.get('http://47.107.178.45/phpwind/',proxies=proxies)
body=response1.content.decode('utf-8')
value=re.findall('csrf_token" value="(.+?)"/><',body)[0]
print(value)
headinfos={'Accept':'application/json, te... | Mmeiapple/Request | 20200603_work/phpwind_login.py | phpwind_login.py | py | 969 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.session",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 8,
"usage_type": "call"
}
] |
43048882687 | import logging.config
import os
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
LOGGER = {
'version': 1,
'disable_existing_loggers': False,
'formatters': {
'verbose': {
'format': ("[%(asctime)s] %(levelname)s "
"[%(name)s:%(lineno)s] %(message)s"),
'datefmt': "%d/%b/%Y %H:... | pratikgajjar/mysql-data-stream-kafka | logger_config.py | logger_config.py | py | 1,206 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "os.path.dirname",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "logging.config.DEBUG",
... |
41692945232 | import argparse
import os
import numpy as np
import tensorflow as tf
import gpflow as gpf
import tensorflow_probability as tfp
from gpflow.utilities import to_default_float
from models.outcome.piecewise_se.model_shared_marked import TRSharedMarked
from models.outcome.piecewise_se.model_shared_marked_hierarchical impo... | caglar-hizli/dynamic-causal-mediation | utils/om_utils.py | om_utils.py | py | 9,972 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.float64",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "numpy.hstack",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.float64",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "numpy.float64",
... |
71099285172 | """eeg refund rate added
Revision ID: b3ad8ac91dd4
Revises: e67d6747e9cb
Create Date: 2020-08-24 09:21:33.148677
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'b3ad8ac91dd4'
down_revision = 'e67d6747e9cb'
branch_labels = None
depends_on = None
def upgrade()... | vrcompugo/EV-Manager-Data-API | migrations/versions/b3ad8ac91dd4_eeg_refund_rate_added.py | b3ad8ac91dd4_eeg_refund_rate_added.py | py | 992 | python | en | code | 0 | github-code | 21 | [
{
"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... |
31251922836 | import re
from typing import List
from utils.game import Board
from utils.player import Player
""" This code will control the input from the command line
asking first for a number of player between 0 and 9 and
then the name of each player which should be and single
word creating a list of player.
T... | jejobueno/Card_Game_OOP | main.py | main.py | py | 1,376 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "re.search",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "utils.player.Player",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "re.search",
"line_numbe... |
11786566177 | import torch
import re
import json
from quant.quant_linear import QuantLinear # from GPTQ FOR LLAMA
import types
class CustomLoraLayerMerged(torch.nn.Module):
def __init__(self, scaling, lora_A_q, lora_B_q, lora_A_v, lora_B_v):
super().__init__()
self.lora_A_q = lora_A_q
s... | johnsmith0031/alpaca_lora_4bit | src/alpaca_lora_4bit/monkeypatch/gptq_for_llala_lora_monkey_patch.py | gptq_for_llala_lora_monkey_patch.py | py | 4,127 | python | en | code | 496 | github-code | 21 | [
{
"api_name": "torch.nn",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.float16",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "torch.load",
"line_numb... |
18389741547 | import pygame as pg
from settings import *
from tilemap import collide_hit_rect
# from tilemap import reconstruct_path # a_star_search, dijkstra_search,
# from random import uniform, choice
import pytweening as tween
# import pathfinding
# import AI
vec = pg.math.Vector2
class BaseGameEntity():
_nextID = 0
... | robinstauntoncollins/TopDownZombieShooter | dayzrpg/sprites.py | sprites.py | py | 3,543 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pygame.math",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pygame.sprite.spritecollide",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "tilemap.collide_hit_rect",
"line_number": 31,
"usage_type": "argument"
},
{
"api_name... |
34216929513 | import pandas as pd
import matplotlib.pyplot as plt
odf = pd.read_csv('outs.tsv', delimiter='\t')
# print(len(odf))
# print(odf.columns)
plt.figure(figsize=(16, 9), dpi=100)
plt.grid(True)
plt.hist(odf['ROUGE-L Score'], bins=100)
plt.title('Histogram of similarity scores', \
fontdict={'fontname': 'DejaVu Sans',... | EshwarSR/AutomaticEvaluationMetrics | 4_ROUGE/don_make_plots.py | don_make_plots.py | py | 1,510 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "matplotlib.py... |
25902806547 | import json
import os
import swgoh
def save_game_data():
"""
Save the game data returned by swgoh.help in game_data.json, for use by the
game_data() fixture.
"""
data = {
'ability_data_list': swgoh.api.get_ability_list(),
'skill_data_list': swgoh.api.get_skill_list(),
'uni... | abey79/sqds | sqds/tests/datafiles.py | datafiles.py | py | 1,876 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "swgoh.api.get_ability_list",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "swgoh.api",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "swgoh.api.get_skill_list",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sw... |
72781009974 | from typing import List
from random import randint
from board import Stone, BoardConfig
from tei_bot_v2 import TeiBot_v2
from tei_bot import TeiBot
from alex_bot import AlexBot
from strategic_bot import StrategicBot
class Bot:
def __init__(self, board_config: BoardConfig):
self.config = board_config
... | allmeat/connect6 | playground/bot.py | bot.py | py | 1,922 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "board.BoardConfig",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "tei_bot.TeiBot",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "tei_bot_v2.TeiBot_v2",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "alex_bot.AlexBo... |
10757208086 | """empty message
Revision ID: d1f7b4d649db
Revises:
Create Date: 2017-08-21 13:55:21.313000
"""
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import mysql
# revision identifiers, used by Alembic.
revision = 'd1f7b4d649db'
down_revision = None
branch_labels = None
depends_on = None
def up... | boreone/apppy | migrations/versions/d1f7b4d649db_.py | d1f7b4d649db_.py | py | 1,548 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "alembic.op.drop_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "alembic.op.drop_table",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "alembic.op",
... |
21449517105 | # history:
# 2018/09/01 v1.0 initial
import os
import sys
import datetime
import re
VERSION = '1.0'
LOG_DIR = r'e:\temp'
def ERR(abbrv):
return '[Error] ' + {
'no_file': 'no such file',
'split_err': 'cannot split log by day',
'level_err': 'cannot extract valid level... | socrates77-sh/toolkit | check_dump.py | check_dump.py | py | 3,628 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.datetime.now",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
9119484975 | import numpy as np
import torch
from vel.api.base import Schedule
from vel.api.metrics import AveragingNamedMetric
from vel.rl.api import Rollout, Transitions
from vel.rl.api.base import ReplayEnvRollerBase, EnvRollerFactory
from vel.rl.buffers.prioritized_backend import PrioritizedReplayBackend
class PrioritizedRep... | timothyyu/ml_monorepo | vel/vel/rl/env_roller/single/prioritized_replay_roller_epsgreedy.py | prioritized_replay_roller_epsgreedy.py | py | 7,702 | python | en | code | 59 | github-code | 21 | [
{
"api_name": "vel.rl.api.base.ReplayEnvRollerBase",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "vel.api.base.Schedule",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "vel.api.base.Schedule",
"line_number": 22,
"usage_type": "name"
},
{
"a... |
13857255553 | import tensorflow as tf
import numpy as np
import argparse
import loaddata
parser = argparse.ArgumentParser()
parser.add_argument('--batch_size', default=100, type=int, help='batch size')
parser.add_argument('--train_steps', default=1000, type=int,
help='number of training steps')
def my_model(f... | ngovietanh/python | TensorFlow/Iris/main.py | main.py | py | 2,776 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "tensorflow.feature_column.input_layer",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tensorflow.feature_column",
"line_number": 12,
"usage_type": "attribute"
}... |
17222736070 |
import os
import glob
import codecs
from django.http import HttpResponse
def index(request, param):
if len(param) < 5 or param[0:2] != '!!':
return HttpResponse('<html><body>No such phone.</body></html>')
search = param[2:].lower()
fh = codecs.open('./ws_django/spc/phones/phones.dat', 'r', 'utf8')... | modu/website_grokit_ca | ws_root/ws_django/spc/phones/views.py | views.py | py | 561 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "django.http.HttpResponse",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "codecs.open",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponse",
"line_number": 27,
"usage_type": "call"
}
] |
72152369333 | from cmath import e
import csv
from tkinter import E
from attr import validate
import os
import requests
#data from https://etherscan.io/exportData?type=tokenholders&contract=0x960b236A07cf122663c4303350609A66A7B288C0&decimal=18
totalAddess=0
approved=0
depost=0
valid=0
def check(url) :
try :
#print('url =... | cqq/otherside-kyc-report | landreport.py | landreport.py | py | 1,770 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cmath.e",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "cmath.e",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "csv.DictReader",
"line_number": 31,
... |
16250376564 | from django.contrib.auth.decorators import login_required
from django.shortcuts import get_object_or_404, render, redirect
from django.urls import reverse_lazy
from django.utils.decorators import method_decorator
from django.views.generic import ListView, View, TemplateView
from pinax.messages.models import Message, Th... | jerryshikanga/therapy | session/views.py | views.py | py | 3,768 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.views.generic.ListView",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "profiles.models.Therapist",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "profiles.models.Therapist.objects.all",
"line_number": 14,
"usage_type": "call"
... |
74427810291 | import datetime
import os
import time
from pathlib import Path
from selenium import webdriver
def scrollToComments(curDriver):
last_height = curDriver.execute_script("return document.body.scrollHeight")
pagesAmount = 0
while True and pagesAmount <= 2:
pagesAmount += 1
# Scroll down to bot... | CoderPants/MasterDegree | yandex_dzen/yandex_extract_data.py | yandex_extract_data.py | py | 6,156 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "time.sleep",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 75... |
26746581711 | import numpy as np
import torch as th
from torch.nn import functional as F
from stable_baselines3.td3.td3 import TD3
from stable_baselines3.common.preprocessing import preprocess_obs as pobs
from typing import Any, Dict, List, Optional, Type, Union
import gym
import torch as th
from torch import nn
from stable_baseli... | HACMan-2023/HACMan | hacman/algos/hacman_td3.py | hacman_td3.py | py | 3,878 | python | en | code | 28 | github-code | 21 | [
{
"api_name": "stable_baselines3.td3.td3.TD3",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "stable_baselines3.common.preprocessing.preprocess_obs",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "torch.cat",
"line_number": 46,
"usage_type": "call"
... |
41248621796 | from __future__ import annotations
import csv
import datetime
import pathlib
import sys
from pathlib import Path
from typing import ClassVar, NamedTuple
from aind_data_transfer.jobs.s3_upload_job import GenericS3UploadJobList
from aind_data_schema.data_description import ExperimentType
from aind_data_transfer.config_... | AllenInstitute/np_codeocean | src/np_codeocean/upload_one.py | upload_one.py | py | 7,185 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "np_logging.get_logger",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "np_config.fetch",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "aind_data_transfer.jobs.basic_job.BasicUploadJobConfigs",
"line_number": 27,
"usage_type": "name"
... |
4082734364 | import re
import datetime
def get_date(index, res):
date = re.findall(r"^.*\d\d:.*$", res, re.MULTILINE)[index].strip()[4:-5]
date = datetime.datetime(int(date[12:16]), int(date[9:11]), int(date[6:8]))
return date
def test_search_with_start_date(client, auth):
auth.login()
res = client.get('/szu... | konrad43/Health-Centre | tests/test_search_data.py | test_search_data.py | py | 1,986 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "re.findall",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "re.MULTILINE",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"... |
27507569260 | from aloe import *
from aloe import tools
import requests
import json
from .. import config, logger
from ..cities import call
@before.each_feature
def delete_all_rows(_):
call.deleteInBulk()
# ..... 1 Scenario ....#
@step('Adding cities with data')
def add_cities(self):
results = list()
for row in tools.... | khoshsoroor/test_city | features/cities/__init__.py | __init__.py | py | 4,206 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cities.call.deleteInBulk",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cities.call",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "aloe.tools.guess_types",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "aloe.tool... |
7070595366 | import datetime
from django.core.exceptions import ValidationError
from django.forms import ModelForm, DateTimeInput
from database_view.models.supply_model import SupplyModel
class SupplyForm(ModelForm):
class Meta:
model = SupplyModel
fields = ('product_id', 'provider_id', 'count', 'supply_date'... | boyboyjoy/Shop | database_view/forms/supply_form.py | supply_form.py | py | 1,154 | python | ru | code | 0 | github-code | 21 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "database_view.models.supply_model.SupplyModel",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.forms.DateTimeInput",
"line_number": 15,
"usage_type": "call"
... |
39121983113 | #########################################################################
#$Id: bld.py 28 2021-01-21 15:10:31Z whuang $
#$Revision: 28 $
#$HeadURL: file:///Users/whuang/.wei_svn_repository/trunk/jedi-build-tools/bld.py $
#$Date: 2021-01-21 08:10:31 -0700 (Thu, 21 Jan 2021) $
#$Author: whuang $
#########################... | weihuang-jedi/jedi-tools | perfplot/plotomp2.py | plotomp2.py | py | 12,311 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.exit",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 65,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.subplots",
... |
25157929587 | #! /usr/bin/python3
import os
import argparse
import base64
from time import sleep
from scapy.sendrecv import sr1
from scapy.layers.inet import IP, ICMP
def main():
parser = argparse.ArgumentParser()
parser.add_argument("-dst", required=True,
help="Destination IP address")
... | meewash-p/icmp-file-transfer | icmp-send.py | icmp-send.py | py | 1,021 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "base64.b64encode",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "scapy.layers.inet.IP",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "scapy.l... |
21436521535 | #!/root/vMU/vEnv/bin/python3
import subprocess, os, yaml, psutil
def main():
subprocess.run(command_Continuous, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
pass
# Service Directory
myDir = os.getcwd()
workDir = os.path.dirname(os.path.abspath(__file__))
os.chdir(workDir)
C_buildPath... | Alailton-jr/Virtual-PAC | vMU/forTests.py | forTests.py | py | 1,712 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "subprocess.run",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"li... |
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