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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
38011177201 | import os
import sys
import argparse
from glob import glob
import re
from RL4MT.core.config import *
parser = argparse.ArgumentParser("Batch Validation")
parser.add_argument('-c', '--config')
parser.add_argument('-d', '--device', default='cpu')
parser.add_argument('-m', '--model_dir')
parser.add_argument('-s', '--sou... | joelau94/RL4MT | v170117/RL4MT/experiment/batchvalid.py | batchvalid.py | py | 1,291 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_numb... |
5395976305 | from PySide6.QtWidgets import (QApplication, QMainWindow, QPushButton, QPlainTextEdit,
QVBoxLayout, QWidget, QProgressBar)
from PySide6.QtCore import QProcess
import re
progress_re = re.compile("Total complete: (\d+)%")
def simple_percent_parser(output):
m = progress_re.search(outp... | flyfire/learning-qt | pyside6-tutorial/app9.py | app9.py | py | 2,419 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "re.compile",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "PySide6.QtWidgets.QMainWindow",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "PySide6.QtWidgets.QPushButton",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": ... |
41784380935 | from typing import Optional, Union
import numpy as np
import torch
def onehot2int(array: np.ndarray) -> np.ndarray:
"""Convert (possibly) one-hot encoded labels to integers. If the array
is not one-hot encoded, then the array is returned.
Args:
array (np.ndarray): Array to convert. np.ndarray of... | HLasse/data-centric-synthetic-data | src/data_centric_synth/dataiq/numpy_helpers.py | numpy_helpers.py | py | 2,306 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "numpy.ndarray",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "numpy.argmax",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.ndarray",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "numpy.ndarray",
... |
30637758170 | """
Solution for 140. Word Break II
https://leetcode.com/problems/word-break-ii/
"""
from functools import lru_cache
from typing import List
class Solution:
"""
Runtime: 48 ms, faster than 71.25% of Python3 online submissions for Word Break II.
Memory Usage: 13 MB, less than 100.00% of Python3 online submissions... | KKosukeee/CodingQuestions | LeetCode/140_word_break_II.py | 140_word_break_II.py | py | 2,075 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.List",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 60,
"usage_type": "name"
},
{
"api_name": "functools.lru_cache",
"line_number": 71,
"usage_type": "call"
}
] |
33397138654 | import logging
import os
import os.path
import random
# clique
import clique
import clique.isc
import clique.event
from clique import web
from clique import runtime
from clique.web import endpoint
from clique.util import Timer
# ambiency
import ambiency
from ambiency import actuators
from ambiency import build_actuat... | thenaran/hue | app/main.py | main.py | py | 5,123 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "phue.AllLights",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "clique.web.endpoint",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "clique.web.endpoint",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "clique.web.end... |
604715081 | import os
import sys
import json
import time
NODES = sc._jsc.sc().getExecutorMemoryStatus().size()
print(f"NODES: {NODES}")
w_path = os.path.abspath(__file__)
print(w_path)
sc.setLocalProperty("spark.databricks.devbricks.path", w_path)
sc.setLocalProperty("spark.databricks.devbricks.project_dir", os.path.dirname(w_p... | deka108/user-custom-module | main.py | main.py | py | 2,514 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.abspath",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
46870934394 | from puzzle import PuzzleContext
from collections import OrderedDict
DIRS = OrderedDict(
N=(0, +1),
W=(-1, 0),
S=(0, -1),
E=(+1, 0),
)
def rotate_left(direction, amnt):
if amnt == 0:
return direction
directions = list(DIRS)
i = directions.index(direction)
i = (i + 1) % len(dire... | vstrimaitis/aoc-2020 | 12/sol.py | sol.py | py | 1,822 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.OrderedDict",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "puzzle.PuzzleContext",
"line_number": 51,
"usage_type": "call"
}
] |
41721488826 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Aug 19 20:07:56 2019
@author: leon
"""
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
np.set_printoptions(threshold=np.inf)
# =============================================================================
# The starting sta... | katakoruma/monopoly-probabilities-of-stay | Monopoly.py | Monopoly.py | py | 1,563 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.set_printoptions",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.inf",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pandas.read_excel",... |
73755234293 | import streamlit as st
import pandas as pd
import numpy as np
import design
import database
api_key='AIzaSyAAgRZSfn5osPVOWWpYkFC1Asp_y1-lsco'
channel_name=''
channel_id = ''
global channel_df
st.title('Scrape the YOUTUBE Data')
channel_name = st.text_input('Enter the Youtube channel',placeholder='yout... | Yogeshmoorthy/youtube_harvesting | 🏡Home.py | 🏡Home.py | py | 2,034 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "streamlit.title",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "streamlit.text_input",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "streamlit.session_state",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "str... |
42372363826 | import pwn
elf = pwn.ELF("./bof103")
p = elf.process()
pwn.context.log_level="DEBUG"
pr = pwn.remote("127.0.0.1", 5000)
system_addr = elf.symbols['system']
useme_addr = elf.symbols['useme']
pop_rdi = rop.rdi.address
pop_rsi = rop.rsi.address
print(pop_rdi)
payload = b"a"*24 # 16 bytes of char payloa... | olegunza/SSTF2023 | PWN/BOF103/bof103_solve.py | bof103_solve.py | py | 976 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pwn.ELF",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "pwn.context",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "pwn.remote",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pwn.p64",
"line_number": 17,
... |
10064522412 |
from pyircbot.modulebase import ModuleBase, ModuleHook
import datetime
import time
import math
class Calc(ModuleBase):
def __init__(self, bot, moduleName):
ModuleBase.__init__(self, bot, moduleName)
self.hooks = [ModuleHook("PRIVMSG", self.calc)]
self.timers = {}
self.sqlite = s... | dpedu/pyircbot3 | pyircbot/modules/Calc.py | Calc.py | py | 12,765 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pyircbot.modulebase.ModuleBase",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "pyircbot.modulebase.ModuleBase.__init__",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pyircbot.modulebase.ModuleBase",
"line_number": 10,
"usage_type": "... |
23934692256 | #
# @lc app=leetcode id=1302 lang=python3
#
# [1302] Deepest Leaves Sum
#
# https://leetcode.com/problems/deepest-leaves-sum/description/
#
# algorithms
# Medium (84.10%)
# Likes: 1224
# Dislikes: 56
# Total Accepted: 97.2K
# Total Submissions: 114K
# Testcase Example: '[1,2,3,4,5,null,6,7,null,null,null,null,8]... | ciwyw2/leetcode-20 | python/1302.deepest-leaves-sum.py | 1302.deepest-leaves-sum.py | py | 1,759 | python | en | code | null | github-code | 21 | [
{
"api_name": "collections.deque",
"line_number": 57,
"usage_type": "call"
}
] |
5158112974 | import cv2
import numpy
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
import os
# import gflags
import gflags
import sys
import time
import subprocess
gflags.DEFINE_string("input_dir", ""... | iskwak/DetetctingActionStarts | figures/make_movie.py | make_movie.py | py | 6,422 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "gflags.DEFINE_string",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "gflags.DEFINE_string",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "ma... |
25844355625 | # coding=utf-8
'''服务信息'''
import uuid
from flask import request
from flask.blueprints import Blueprint
from base import ApiHelper
from ext import conf, log
# 蓝图对象
bp = Blueprint('index', __name__)
# 蓝图url前缀
url_prefix = ''
@bp.route("/", methods=["GET"])
@ApiHelper.api_get_args_parser(None)
def api_index():
"... | micelle-bookmark/micelle-server-python | app/views/index.py | index.py | py | 698 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "flask.blueprints.Blueprint",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "ext.conf.config",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "ext.conf",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "ext.conf.con... |
21288835240 | from PIL import Image, ImageDraw, ImageFont
from uuid import uuid4
from random import randint
import os
import textwrap
class MemeEngine:
""" A class that creates a meme using quotes."""
def __init__(self, outputDir):
"""
Initialization of parameters.
:param outputDir: Output location.
:return: None
"... | nesspll/memegenerator | MemeEngine/MemeEngine.py | MemeEngine.py | py | 1,342 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "PIL.Image.open",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "random.randint",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "PIL.Image.NEAREST",
"line... |
9073609715 | import os
import itertools
import logging
import matplotlib.pyplot as plt
plt.style.use(os.path.join(os.path.dirname(__file__), 'mpl_style')) # noqa
from matplotlib.pyplot import setp
import numpy as np
"""
Mostly taken from https://bitbucket.org/aadfreiburg/plotting_scripts
"""
def plot_scatter_plot(x_data, y_da... | timothyyu/ml_monorepo | CAVE/cave/plot/scatter.py | scatter.py | py | 12,634 | python | en | code | 59 | github-code | 21 | [
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 6,
"usage_type": "name"
},
{
"api_name"... |
22276651750 | import torch
from sklearn import linear_model, model_selection
import numpy as np
from .base import BaseEvaluator
import os
import torch.nn as nn
import torch.nn.functional as F
from tqdm import tqdm, trange
from torch.utils.data import Subset, DataLoader
from torchvision.models import resnet18
from .base import BaseEv... | NNHieu/unlearning-eval | unlearn_eval/evaluators/attack_based.py | attack_based.py | py | 10,228 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.array",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.all",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 4... |
36522555502 | from pyvi import ViTokenizer
import pandas as pd
from keras.preprocessing.sequence import pad_sequences
import numpy as np
import pickle
import matplotlib.pyplot as plt
def save_vocabulary(path, vocabulary, word_to_num, num_to_word):
data = {'vocabulary': vocabulary,
'word_to_num': word_to_num,
... | nducthang/Question-Similarity-in-Medical | src/CNN/utils.py | utils.py | py | 2,450 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "pickle.dump",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pickle.HIGHEST_PROTOCOL",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "pickle.load",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pyvi.ViTokenizer... |
8064867877 | import PySimpleGUI as sg
import os
from os.path import exists
import cv2
import base64
import numpy as np
import csv
import pandas as pd
CSV_NAME = "Labels.csv"
def already_labeled(filename):
if exists("./" + CSV_NAME):
df = pd.read_csv(CSV_NAME, sep=",")
return filename in df.iloc[:, 0].val... | hajo1038/KI_Projekt | Labeling_App/main.py | main.py | py | 6,186 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.exists",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_numb... |
20599893881 | #!/usr/bin/env python3
# Author: Jeffrey Grover
# Purpose: Clean garbage from bed files in the chromosome ID fields
# Created: 09/2018
from argparse import ArgumentParser
def clean_bed(input_file, cleaner_sep):
with open(input_file, 'r') as input_handle:
for line in input_handle:
entry = line... | groverj3/genomics_tools | bed_clean_chromosomes.py | bed_clean_chromosomes.py | py | 912 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 20,
"usage_type": "call"
}
] |
31251253026 | # from .functional.conv import fd_convolve
import typing as tp
import equinox as eqx
import finitediffx as fdx
from jaxtyping import Array
from jaxsw._src.fields.base import Field
class Difference(eqx.Module):
axis: int = eqx.static_field()
accuracy: int = eqx.static_field()
derivative: int = eqx.static_... | jejjohnson/jaxsw | jaxsw/_src/operators/fd.py | fd.py | py | 5,049 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "equinox.Module",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "equinox.static_field",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "equinox.static_field",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "equinox... |
2250779801 | from __future__ import annotations
import os.path
from pathlib import Path
from config import settings
def validate(path: Path):
if not os.path.exists(path) and settings.debug:
raise FileNotFoundError(path)
elif os.path.exists(path):
return path
else:
raise Exception("ValidationE... | OmmarShaikh01/EthChange | tool/__init__.py | __init__.py | py | 881 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pathlib.Path",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "os.path.path.exists",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line... |
21471227918 | from tkinter import *
from tkinter import ttk
from tkinter import filedialog, simpledialog
from lcopt.utils import DEFAULT_DB_NAME, FORWAST_DB_NAME
from lcopt import LcoptModel
from brightway2 import *
import os
from pathlib import Path
def check_databases():
return DEFAULT_DB_NAME in projects, FORWAST_DB_NAME i... | pjamesjoyce/rmflow | rmflow/bin/lcopt_launcher.py | lcopt_launcher.py | py | 3,618 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "lcopt.utils.DEFAULT_DB_NAME",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "lcopt.utils.FORWAST_DB_NAME",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "tkinter.simpledialog.askstring",
"line_number": 23,
"usage_type": "call"
},
{... |
24160959091 | from django.urls import path
from librarian import views
urlpatterns = [
path('', views.home, name='librarian_home'),
path('login/', views.login, name='librarian_login'),
path('trackbook/',views.trackbook,name='librarian_trackbook'),
path('trackstudent/',views.trackstudent,name='librarian_trackstudent')... | connectheshelf/connectheshelf | librarian/urls.py | urls.py | py | 621 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.urls.path",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "librarian.views.home",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "librarian.views",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "django.urls.p... |
8050371384 | # importing sql
import sqlite3
# select function to show full contents of a table
# primary key = Username
def Select (cursor, query, args=()):
cursor.execute(query, args)
records = cursor.fetchall()
print("Total rows are: ", len(records))
if len(records) > 0:
for row in records:
print(row)
try:
... | hannaleung8/Culminating-2022-2023 | database_table.py | database_table.py | py | 2,429 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sqlite3.connect",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "sqlite3.Error",
"line_number": 57,
"usage_type": "attribute"
},
{
"api_name": "sqlite3.connect",
"line_number": 66,
"usage_type": "call"
}
] |
70349563894 | import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
##first task
def csv_to_df(df='HAZI\HAZI04\StudentsPerformance.csv'):
df_data= pd.read_csv(df, sep=',')
return df_data
##second task
def capitalize_columns(df: pd.DataFrame) -> pd.DataFrame:
df_data_capitalized = df.copy()
df_data... | makosteszta007/BEVADAT2022232 | HAZI/HAZI04/HAZI04.py | HAZI04.py | py | 3,039 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pandas.DataFrame",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "pandas.Data... |
35746245542 | # app.py
from flask import Flask, jsonify, request, render_template
from random import randint
app = Flask(__name__)
@app.route('/hello', methods=['GET', 'POST'])
def hello():
# POST request
if request.method == 'POST':
print('Incoming..')
print(request.get_json()) # parse as J... | kalh47/news-stance-detector | My Chrome Extension/testrandom.py | testrandom.py | py | 668 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "flask.request.get_... |
10501276191 | from flask import Flask,render_template,request
from selenium import webdriver
from urllib.request import urlopen,Request,urlretrieve
from time import sleep
import os
import json
from PIL import Image
app = Flask(__name__)
options = webdriver.ChromeOptions()
options.add_experimental_option('excludeSwitc... | programmingninjas/profile-picture-downloader | app.py | app.py | py | 2,911 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "os.get... |
72546301814 | import os
import glob
from pathlib import Path
import utilities
from read_config import read_config
from parse_vcf import parse_vcf
class alignment(object):
# Reference file as to be reference.fasta or reference.fa
# Sequence files must be sequences (paired end) files (PATH_TO_SEQUNCES)/*P.fq.gz (coming f... | baribefe/pySNPCallingPipeline | pysnpcall/alignment.py | alignment.py | py | 8,745 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "read_config.read_config",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_num... |
11161875726 | from django.urls import path
from reports import views
urlpatterns = [
path("", views.reports_landing_page, name="Reports_Page"),
path("taskTimers/", views.task_timer_reports, name='Task_Timer_Reports'),
path("admin/", views.admin_reports_page, name='Admin_Reports'),
path("admin/taskTimes", views.full... | timotiousPrime/MacTrack | reports/urls.py | urls.py | py | 456 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "reports.views.reports_landing_page",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "reports.views",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "d... |
29620545347 | from uuid import uuid4
import aiofiles
from fastapi import UploadFile, HTTPException
async def save_photo(
title: str,
file: UploadFile,
):
file_name = f'../media/poster_book/{uuid4()}.jpg'
if file.content_type.split('/')[0] == 'image':
await write_image(file_name, file)
else:
... | kindevelopment/FastApi_blog_book | src/blog/service.py | service.py | py | 583 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "fastapi.UploadFile",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "uuid.uuid4",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "fastapi.HTTPException",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "aiofiles.open",
... |
14842398190 | import sqlite3
DB_FILE = "harvest.db"
def init():
with sqlite3.connect(DB_FILE) as con:
con.cursor().execute("create table if not exists users(id, name)")
con.cursor().execute("create table if not exists souls(soulid, userid)")
con.commit()
def register(id, name):
with sqlite3.conne... | sslees/ld52 | data.py | data.py | py | 2,858 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sqlite3.connect",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
... |
12915279504 | import requests
import os
import os.path
from os import path
from bs4 import BeautifulSoup
from urllib.request import urlretrieve
from download import *
from save_pic_as_txt import *
from check_db import *
def collect_pics(website_url, web_prefix):
URL = website_url
pic_location = web_prefix
page = request... | golopogus/mtg_spoiler | collect_pics.py | collect_pics.py | py | 1,900 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numbe... |
23154350240 | import subprocess
import json
import dkim
from celery import Celery
from celery.utils.log import get_task_logger
#from redis import Redis
#from redis import ConnectionPool
from kombu import Queue, Connection
from pymongo import MongoClient
from sslyze.synchronous_scanner import SynchronousScanner
from sslyze.server_con... | naeemhaq/tracker | scanner/data/scheduling/tasks.py | tasks.py | py | 6,602 | python | en | code | null | github-code | 21 | [
{
"api_name": "celery.Celery",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "kombu.Queue",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "kombu.Queue",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "kombu.Queue",
"line_number"... |
27944699640 | #!/usr/bin/env python
import sys
from collections import deque
def read_lines(path):
with open(path) as fh:
return [line.rstrip() for line in fh.readlines()]
class RecursiveCombat:
def __init__(self, p1, p2, count=1):
self.p1 = p1
self.p2 = p2
self.seen = set()
self.... | janosgyerik/advent-of-code | 2020/day22/part2.py | part2.py | py | 2,489 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.deque",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 88,
"usage_type": "attribute"
}
] |
14425324370 | import sys
import os
import pathlib
from inspect import currentframe, getframeinfo
def is_installed():
return 'lib64' in Path(__file__).parts or 'lib' in Path(__file__).parts
def maindir():
dir=pathlib.Path(os.path.realpath(__file__)).parent
return str(dir.resolve())
configdir = None
setup_done = False
w... | deeptho/neumodvb | gui/neumodvb/util.py | util.py | py | 5,568 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "pathlib.Path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.realpath",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_n... |
41642174264 | import argparse
from pyannote.database.util import load_rttm
import numpy as np
import tqdm
def segment_load(seg_path):
segment = np.load(seg_path, allow_pickle=True).item()
return segment
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="convert segment file to rttm file")
par... | Rexiome/wav2VAD | egs/voxsrc21/v1/local/seg2rttm.py | seg2rttm.py | py | 931 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 19,
"usage_type": "call"
}
] |
43894231331 | import logging
from wazo_auth.database.helpers import commit_or_rollback
logger = logging.getLogger(__name__)
class DefaultPolicyService:
def __init__(self, dao, default_policies):
self._dao = dao
self._default_policies = default_policies
def update_policies(self):
top_tenant_uuid =... | wazo-platform/wazo-auth | wazo_auth/services/default_policy.py | default_policy.py | py | 2,357 | python | en | code | 7 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "wazo_auth.database.helpers.commit_or_rollback",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "wazo_auth.database.helpers.commit_or_rollback",
"line_number": 35,
"usage_... |
13653735705 | import functools
from flask_restful import Resource, Api
from flask import (
Blueprint, flash, g, redirect, render_template, request, session, url_for
)
from werkzeug.security import check_password_hash, generate_password_hash
import app.models.orm as orm
bp = Blueprint('auth', __name__, url_prefix='/')
@bp.rou... | amommendes/flask_mergulhando | app/auth.py | auth.py | py | 1,088 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "flask.Blueprint",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "flask.ses... |
13465946627 | import json
import re
from send_core.models import Status, Function, Invite, Invited_user, Task, Log
from django.http import HttpResponse
from django.utils.timezone import now
from django.contrib.auth.decorators import login_required
from django.views.decorators.csrf import ensure_csrf_cookie
from django.contrib.auth i... | lc4t/sender_API | send_core/views.py | views.py | py | 17,664 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "django.http.HttpResponse",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "send_core.models.Status.objects.filter",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "send_core.models.Status.objects",
"line_number": 25,
"usage_type": "attri... |
35461872273 | #!/usr/bin/env python
# coding: utf-8
import pandas as pd
import altair as alt
import streamlit as st
import time
df = pd.read_csv('../sources/tourist_arrivals.csv')
df['date'] = pd.to_datetime(df['date'])
# Build an empty graph
lines = alt.Chart(df).mark_line().encode(
x=alt.X('1:T',axis=alt.Axis(title='date')),
... | alod83/data-science | DataVisualization/Altair/AltairAnimation.py | AltairAnimation.py | py | 1,211 | python | en | code | 140 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "altair.Chart",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "altair.X",
"line_n... |
16341581015 | import cv2
import numpy as np
class FrameAnalyzer:
def __init__(self,frame_buffer,matches,candidate_frames):
self.buffer_size = frame_buffer-1 #Last index of buffer
self.matches = matches
self.timeFrames = np.zeros(shape=(1,frame_buffer))
self.angleFrames = np.zeros(shape=(matches,f... | HDavidSolano/small-cv-projects | CraftedCVCodes/FrameAnalyzer.py | FrameAnalyzer.py | py | 9,368 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.zeros",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 11... |
15828917953 | from django.test import TestCase
from home.models import Event
class CompanyTestCase(TestCase):
def test_str(self):
"""Test for string representation."""
event = Event.objects.first
event_name = str(event.customer) + str(event.evt_time)
print (event_name)
self.a... | reach1dev/react-django-docker-boilerplate | django/src/home/tests/test_models.py | test_models.py | py | 354 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "django.test.TestCase",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "home.models.Event.objects",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "home.models.Event",
"line_number": 9,
"usage_type": "name"
}
] |
18381725261 | import os
from sys import platform
import pytest
from wazuh_testing import global_parameters, LOG_FILE_PATH
from wazuh_testing.modules.fim import (registry_parser, KEY_WOW64_64KEY, REG_SZ, KEY_ALL_ACCESS, RegOpenKeyEx,
RegCloseKey, WINDOWS_HKEY_LOCAL_MACHINE, MONITORED_KEY)
from ... | wazuh/wazuh-qa | tests/integration/test_fim/test_registry/test_registry_limit/test_registry_limit_capacity_alerts.py | test_registry_limit_capacity_alerts.py | py | 7,519 | python | en | code | 29 | github-code | 21 | [
{
"api_name": "sys.platform",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "wazuh_testing.modules.WINDOWS",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "wazuh_testing.modules.TIER1",
"line_number": 23,
"usage_type": "name"
},
{
"api_name":... |
73888309492 | from typing import List
class Solution:
# TLE 34/38 passed
# Time: O(n * k)
def rotate(self, nums: List[int], k: int) -> None:
"""
Do not return anything, modify nums in-place instead.
"""
n = len(nums)
if k > n:
k = k % n
for i in range(k):
... | xiaofanc/leetcode | 0189-rotate-array.py | 0189-rotate-array.py | py | 2,306 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 57,
"usage_type": "name"
}
] |
29967816361 | from abc import ABC, abstractmethod
import os
from datasets import DatasetDict, load_from_disk
from transformers import TrainingArguments
from lme import DATASET_CACHE_DIR
from lme.data_processors.utils import dataset_summary
class AbstractDataProcessor(ABC):
def __call__(self, training_arguments: TrainingArg... | sebastian-nehrdich/language-models-bair | lme/data_processors/abstract.py | abstract.py | py | 1,241 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "abc.ABC",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "transformers.TrainingArguments",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "os.path.exists",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"... |
5932319262 | # import sys
# sys.stdin = open('04.txt', 'r')
from collections import deque
def bfs(s, d):
queue = deque()
visited = [0] * (V + 1)
visited[s] = 1
queue.append(s)
step = 0
while queue:
step += 1
for _ in range(len(queue)):
node = queue.popleft()
if G[nod... | GH-Lim/AlgorithmHomeworkshop | homework/2기서울2반8월29일임건혁/서울2반8월29일임건혁_04.py | 서울2반8월29일임건혁_04.py | py | 847 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.deque",
"line_number": 7,
"usage_type": "call"
}
] |
21925499069 | import re
import parametertypes
from collections import defaultdict, OrderedDict
def catches(function, exceptionType = Exception):
'''
Returns whether or not calling the provided function yields an exception of type exceptionType, or a descendant
of it.
'''
try:
function()
return False
except exceptionType... | ptitSeb/zandronum | protocolspec/generator/spec.py | spec.py | py | 11,859 | python | en | code | 7 | github-code | 21 | [
{
"api_name": "re.search",
"line_number": 87,
"usage_type": "call"
},
{
"api_name": "re.IGNORECASE",
"line_number": 87,
"usage_type": "attribute"
},
{
"api_name": "collections.OrderedDict",
"line_number": 92,
"usage_type": "call"
},
{
"api_name": "re.search",
... |
19066072109 | import ctypes
import json
from virus_total_apis import PublicApi as VirusTotalPublicApi
from ctypes.wintypes import DWORD, HANDLE, LPWSTR
API_KEY = ''
k_handle = ctypes.WinDLL("Kernel32.dll")
d_handle = ctypes.WinDLL("DNSAPI.dll")
def integer(obj):
rv = {}
for k, v in obj.items():
if isinstance(v, b... | littl3field/PyWindows_API_Research | DNScacheVTLookup.py | DNScacheVTLookup.py | py | 1,631 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "ctypes.WinDLL",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "ctypes.WinDLL",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "ctypes.Structure",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "ctypes.wintypes.HAND... |
15341882861 | from pathlib import Path
import random
import sys
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from clovars.main import main as clovars_main
sns.set()
RANDOMNESS_SEED = 42
def main():
"""Main function of this script."""
random.seed(RANDOMNESS_SEED)
np.ran... | jfaccioni/clovars | scripts/Figures and Videos/Figure 2D/produce_fig_2D.py | produce_fig_2D.py | py | 1,752 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "seaborn.set",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "random.seed",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_nu... |
70842830452 | from pyramid.config import Configurator
def main(global_config, **settings):
""" This function returns a Pyramid WSGI application.
"""
config = Configurator(settings=settings)
config.include('pyramid_mako')
config.add_static_view('static', 'static', cache_max_age=3600)
config.add_route('proje... | yentsun/hydra | hydra/__init__.py | __init__.py | py | 495 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pyramid.config.Configurator",
"line_number": 8,
"usage_type": "call"
}
] |
73565261813 | import re
from itertools import product
from core.variable_template_regex import VariableTemplateRegex
import networkx as nx
from gfx.arrow import Arrow
from gfx.object import Object
from gfx.text import Text
from bidict import bidict
import time
def regex_node_match(data1, data2):
"""
data1 corresponds to G1... | enjoysmath/abstract-spacecraft | core/networkx_tools.py | networkx_tools.py | py | 3,979 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "itertools.product",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "networkx.MultiDiGraph",
"line_number": 57,
"usage_type": "attribute"
},
{
"api_name": "bidict.bidict",
"line_number": 57,
"usage_type": "name"
},
{
"api_name": "bidict.bid... |
27404345804 | import requests
import sys
import _json
if len(sys.argv)!=2:
sys.exit()
response=requests.get("https://api.coindesk.com/v1/bpi/currentprice.json",+ sys.argv[1])
f=response.json()
for time in f["time"]:
print(time["rate"])
print(_json.dumps(f))
while True:
a=input("enter how munch bitcion you want to... | MrTalha100/CS50 | problem set 4/problem 6-bitcoin price index.py | problem 6-bitcoin price index.py | py | 339 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.argv",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 6,
... |
42136956721 | from __future__ import division
from matplotlib import pyplot as plt
from fe_utils import ReferenceTriangle
import numpy as np
from animation_tools import Animation, Scene, CellScene, Title
class BuildTriangle(CellScene):
def __call__(self, i):
if i == 0:
nodes = []
nodes.append(se... | finite-element/finite-element-course | doc/source/_scripts/animate_reference_element.py | animate_reference_element.py | py | 4,060 | python | en | code | 74 | github-code | 21 | [
{
"api_name": "animation_tools.CellScene",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "ani... |
32739285610 | # -*- coding: utf8 -*-
import keras
from keras.models import Model
from keras.layers import Input, Lambda, Conv2D, MaxPooling2D, Flatten, Dense, Reshape
from keras.losses import binary_crossentropy
from keras.datasets import mnist, fashion_mnist
import keras.backend as K
from scipy.stats import norm
import numpy as np
... | lyang028/loss_bp | loss_bp_test.py | loss_bp_test.py | py | 4,759 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "keras.datasets.fashion_mnist.load_data",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "keras.datasets.fashion_mnist",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "keras.backend.random_normal",
"line_number": 28,
"usage_type": "call"... |
4604979207 | import shutil
import requests
from pathlib import Path
from settings import ROOT_DIR, IMG_CACHE_FOLDER_RELATIVE
from common.misc import add_schema
from syncronous.utils import get_unique_file_name
from common.models import ImageModel, ConnectedToModel
# def get_name_from_img_url(img_url):
# name = None
# for i i... | Aspect13/market-scrapper | syncronous/ImageClass.py | ImageClass.py | py | 2,423 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "common.models.ConnectedToModel",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "settings.ROOT_DIR",
"line_number": 26,
"usage_type": "argument"
},
{
"api_name": "set... |
3707721541 | from typing import List
# Definition for singly-linked list.
class ListNode:
def __init__(self, val=0, next=None):
self.val = val
self.next = next
# Definition for a binary tree node.
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left =... | dmp2016/LeetCode | Convert Sorted List to Binary Search Tree.py | Convert Sorted List to Binary Search Tree.py | py | 1,130 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "typing.List",
"line_number": 42,
"usage_type": "name"
}
] |
13878140883 | from distutils.core import setup, Extension
from Cython.Build import cythonize
with open("gui-cpp-files.txt", "r") as f:
sources = f.read().strip().split(" ")
setup(name="cython_checkers",
ext_modules=cythonize(Extension(
"checkers_game.pyx", # our Cython source
sources... | williamh890/checkers-ai | checkers-ai/setup.py | setup.py | py | 438 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "distutils.core.setup",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "Cython.Build.cythonize",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "distutils.core.Extension",
"line_number": 8,
"usage_type": "call"
}
] |
26062638282 | from django.http import HttpResponse
from monitor import driver
from core.models import *
import json
import os
import time
def Observer(request):
if not os.path.exists('/tmp/observer_last_run'):
return HttpResponse(json.dumps({"health": ":-X", "time": time.time(), "comp": 0}))
t = time.time()
sta... | wathsalav/xos | xos/core/views/observer.py | observer.py | py | 617 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.exists",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.http.HttpResponse",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"... |
74063012213 | import PyPDF2
import os.path
def PDFmerge(pdfs, output):
# creating pdf file merger object
pdfMerger = PyPDF2.PdfFileMerger()
# appending pdfs one by one
for pdf in pdfs:
with open(pdf, 'rb') as f:
temp = pdfMerger.id_count
# pdfMerger.addBookmark("Holly",... | mmcclain117/School-Code | Go Through/Eclipse Python/PDF Merger/NeedToGoThrough/Merging.py | Merging.py | py | 906 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "PyPDF2.PdfFileMerger",
"line_number": 7,
"usage_type": "call"
}
] |
27434113432 | # File: Logger.py
# Author: Nawaf Abdullah
# Creation Date: 15/April/2018
# Description: Logs all the outputs given by PhysTerm
from datetime import datetime
def logger(output):
log = open("log.txt", "a")
output = str(output)
log_str = "[" + str(datetime.now()) + "] > " + output + "\n"
log.wri... | scriptpapi/PhysTerm | Utilities/Logger.py | Logger.py | py | 334 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.datetime.now",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 11,
"usage_type": "name"
}
] |
12335944878 | from django import forms
from .models import nudge_model
class nudge_form(forms.ModelForm):
class Meta:
model = nudge_model
fields = ['name', 'image', 'tagline', 'schedule', 'description', 'moderator', 'category', 'sub_category', 'rigor_rank']
widgets = {
'image': forms.... | muhammederamala/nudge_api | nudge_creation_api/nudges/forms.py | forms.py | py | 409 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "models.nudge_model",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.forms... |
903466572 | import argparse
from torch import nn as nn
import torch
import torch.nn.functional as F
from torch.optim.lr_scheduler import MultiStepLR
from torchvision import datasets, transforms
import numpy.random as npr
import numpy as np
import sys
from itertools import chain
import copy
import math
from torch.utils.... | Gusicun/SICS | SICS_mnist/net.py | net.py | py | 1,383 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.device",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.nn.Module",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"lin... |
72638727093 | # -*- coding: utf-8 -*-
# 该脚本的作用是为了备份金融端口数据库每天的binlog
import datetime
from pathlib import Path
from mtk.alert import sender
from mtk.utils.cmd import exec_cmd
from mtk.mysql.backup import financial_ports
from mtk.mysql.runtime import get_mysql_running_ports, get_mysql_runtime_instances
instances = get_mysql_runtime_in... | together-wang/python3 | backup_binlog.py | backup_binlog.py | py | 4,868 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "mtk.mysql.runtime.get_mysql_runtime_instances",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.date.today",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 11,
"usage_type": "attribute"
},
{
... |
14249148285 | import json
from time import sleep
from tinder import TinderClient
tc = TinderClient("501d1515-b84d-0c35-ef33-345901de5bf5")
sugar = None
c=0
n=0
checked_list = []
with open("ckd.json","r") as f:
checked_list = json.loads(f.read())
while True:
users = tc.get_recommendations()["results"]
c+=1
n+=len(... | 0z4ck/pytinpy | examples/search.py | search.py | py | 1,139 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "tinder.TinderClient",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_numbe... |
20599947681 | #!/usr/bin/env python3
# Author: Jeffrey Grover
# Purpose: Append a string to all chromosome IDs
# Created: 2019-03-14
from argparse import ArgumentParser
def append_chromosome(input_file, chrom_string):
with open(input_file, 'r') as input_handle:
for line in input_handle:
entry = line.strip(... | groverj3/genomics_tools | gtf_append_chr_ids.py | gtf_append_chr_ids.py | py | 937 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 20,
"usage_type": "call"
}
] |
27275169228 | import numpy as np
import pandas as pd
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.naive_bayes import MultinomialNB
from sklearn.pipeline import make_pipeline
from sklearn.model_selection import train_test_split
df = pd.read_csv('dataset.csv')
#convert review text to unicode
rev... | jonathanplacatka/steam-sentiment-analysis | naive_bayes.py | naive_bayes.py | py | 1,352 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sklearn.pipeline.make_pipeline",
"line_number": 17,
"usage_type": "call"
},
{... |
23737544939 | # -*- coding: utf-8 -*-
"""
test_celllab_cts.py: Unit-test function for CellLabCTS.
Created on Thu Jul 9 08:20:06 2015
@author: gtucker
"""
from nose.tools import assert_equal
from numpy.testing import assert_array_equal
from landlab import RasterModelGrid, HexModelGrid
from landlab.ca.celllab_cts import Transition... | David-Loibl/landlab | landlab/ca/tests/test_celllab_cts.py | test_celllab_cts.py | py | 6,374 | python | en | code | null | github-code | 21 | [
{
"api_name": "landlab.ca.celllab_cts.Transition",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "nose.tools.assert_equal",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "nose.tools.assert_equal",
"line_number": 43,
"usage_type": "call"
},
{
... |
32681827217 | import random
import func_timeout
from Games.Brisca.BriscaForwardModel import BriscaForwardModel
from Games.Brisca.BriscaGame import BriscaGame
from Games.Brisca.BriscaGameState import BriscaGameState
from Games.Brisca.BriscaHeuristic import BriscaHeuristic
from Games.TicTacToe.TicTacToeGame import TicTacToeGame
from G... | montoliu/grupoiauji | main_functions.py | main_functions.py | py | 4,130 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "Games.TicTacToe.TicTacToeGame.TicTacToeGame",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "Games.TicTacToe.TicTacToeGameState.TicTacToeGameState",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "Games.TicTacToe.TicTacToeForwardModel.TicTacToe... |
13442455031 | #!/usr/bin/env python2
from functools import wraps
def varargs(option, opt_str, value, parser):
"""Recipe for variable arguments
Because we can't use argparse in python 2.6"""
assert value is None
value = []
def floatable(str):
try:
float(str)
return True
... | ptrnb/ldif_parser | ldif_parser/utils.py | utils.py | py | 1,036 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "functools.wraps",
"line_number": 34,
"usage_type": "call"
}
] |
22444647636 | # Team 1
# Training loop to segment GM & WM structures from MRI images
import numpy as np
import torch as th
import torch.optim as optim
import nibabel as nib
# import matplotlib.pyplot as plt
import json
import random
import torchvision
import time
import copy
from Unet import ResNetUNet
from collections import defau... | madincode/MIAL | structureTrain.py | structureTrain.py | py | 11,926 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.set_printoptions",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "datetime.date.today",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "copy.de... |
28238985551 | #!/usr/bin/env python
# coding: utf-8
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
# read in all the data
df = pd.read_csv(r"D:\FEB_2023\ML\Assignment\wine-quality-white-and-red.csv")
df['quality'].unique()
df.describe()
print(df['quality'].mode())
df.info()
df.shap... | davidgonghs/ML-assignment | ml_ass.py | ml_ass.py | py | 14,043 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.fi... |
15942801876 | #!/usr/bin/env python
# coding: utf-8
# <span style='font-family:serif'>
#
# # <center>$Machine Learning From Scratch$</center>
# # <center><span style='background:yellow'> PCA (Análise de Componentes Principais)</span></center>
# <center>$Rafael Pavan$</center>
#
#
# <span style='font-family:serif'>
# ... | rafaelpavan95/MSc_MachineLearning_DataMining | PCA_FROM_SCRATCH.py | PCA_FROM_SCRATCH.py | py | 9,471 | python | pt | code | 0 | github-code | 21 | [
{
"api_name": "matplotlib.rcParams",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "matplotl... |
37800151996 | from functools import partial
from inspect import ismethod, isfunction, getmodule, isbuiltin, getmro
def get_class_that_defined_method(meth):
if isinstance(meth, partial):
return get_class_that_defined_method(meth.func)
if ismethod(meth) or (
isbuiltin(meth)
and getattr(meth, '... | SanctusAnimus/space-traders-python-cli | helpers.py | helpers.py | py | 917 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "functools.partial",
"line_number": 6,
"usage_type": "argument"
},
{
"api_name": "inspect.ismethod",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "inspect.isbuiltin",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "inspect.getmro"... |
37864868101 | """
для запуска build переходим в cmd в папку с setup.py и запускаем 'python setup.py build'
"""
from cx_Freeze import setup, Executable
import os
executables = [Executable('main2.py', #главный файл программы
targetName='VHO_v1.exe', base = 'Win32GUI'),] #задаем имя файла
excludes = ['concurrent','ct... | pashaapsky/PyQt5-Matplotlib-docx-numpy-CX_freeze | setup.py | setup.py | py | 1,544 | python | ru | code | 0 | github-code | 21 | [
{
"api_name": "cx_Freeze.Executable",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cx_Freeze.setup",
"line_number": 41,
"usage_type": "call"
}
] |
17117672916 | import cv2
camera_index = 0
video = cv2.VideoCapture(camera_index)
detector = cv2.CascadeClassifier("/home/vargha/Desktop/haarcascade_frontalface_default.xml")
while video.isOpened():
ret, frame = video.read()
if not ret:
print("null")
break
boxes = detector.detectMultiScale(frame)
for... | Vargha-Kh/Deep-Learning-Practices | Face Detection/Haarcascade Detection/face_detection_camera.py | face_detection_camera.py | py | 598 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.CascadeClassifier",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.rectangle",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"... |
44016481158 | import asyncio
import mtrpacket
async def trace():
async with mtrpacket.MtrPacket() as mtr:
for ttl in range(1, 256):
result = await mtr.probe('localhost', ttl=ttl)
print(result)
if result.success:
break
asyncio.get_event_loop().run_until_complete(trace(... | mcbuck54/RaspberryPi | Network/checknetwork.py | checknetwork.py | py | 323 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "mtrpacket.MtrPacket",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "asyncio.get_event_loop",
"line_number": 12,
"usage_type": "call"
}
] |
25876813082 | import torch
import argparse
import os
import random
import numpy as np
from itertools import islice
from torch import Tensor, FloatTensor, LongTensor
from pl import PL
from utils import one_hot, generate_nothing
from models.preact_resnet import PreActResNet18
from models.easy_net import ConvNet
from dataset import D... | ermongroup/neuralsort | pytorch/run_baseline.py | run_baseline.py | py | 3,700 | python | en | code | 124 | github-code | 21 | [
{
"api_name": "torch.manual_seed",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.cuda.manual_seed",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "numpy.random... |
17997227424 | # 创建者：wzz
# 开发时间：2022/4/23 20:17
import numpy as np
import xarray as xr
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
from cartopy.mpl.ticker import LongitudeFormatter, LatitudeFormatter
# ------------------第一问------------------- #
data = xr.open_dataset('sst.mnmean.nc') # 读数据
print(data)
... | wzzcharles/python-learning | test9.py | test9.py | py | 2,150 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "xarray.open_dataset",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.datetime64",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplot... |
20752462607 | import pygame
import random
pygame.init()
BLACK = ( 0, 0, 0)
WHITE = ( 255, 255, 255)
GREEN = ( 0, 255, 0)
ORANGE = (244, 118, 65)
BLUE = ( 0, 0, 255)
PURPLE = ( 255, 0, 255)
SCREEN_WIDTH = 1280
SCREEN_HEIGHT = 720
size = (SCREEN_WIDTH, SCREEN_HEIGHT)
class Ball:
def __init__... | flyyee/cep-twink | 1.0/ball.py | ball.py | py | 2,702 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pygame.init",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "pygame.Surface",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pygame.draw.circle",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "pygame.draw",
"line_... |
34975399223 | import os
import torch.onnx
import torch.nn as nn
# -*- coding: utf-8 -*-
import torch
from transformers import AutoTokenizer
from torch.utils.data import DataLoader, RandomSampler
import functools
from dataloader.multitargetdataloader import MultiTargetProcessor
from util.systems_settings import get_device, seed_ev... | suongnhoang/SRUTransformers | convertonnx.py | convertonnx.py | py | 4,998 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "util.systems_settings.seed_everything",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "util.systems_settings.get_device",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "transformers.AutoTokenizer.from_pretrained",
"line_number": 40,
"u... |
37574025392 | # Using mouse clicks create a line connecting current and last point
import cv2
import numpy as np
prevCoordinate=None
# event=[i for i in dir(cv2) if 'EVENT' in i]
# for i in event:
# print(i)
def clickEvent(event,x,y,flags,param):
global prevCoordinate
if event==cv2.EVENT_LBUTTONDOWN:
cv2.circ... | rahulgolani/Python-For-Vision-and-Detection---OpenCV | 7-More On Mouse Event/main.py | main.py | py | 667 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cv2.EVENT_LBUTTONDOWN",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "cv2.circle",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cv2.line",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line... |
28999144587 | """empty message
Revision ID: e15942edf967
Revises: 30db2293ca83
Create Date: 2018-12-16 23:46:48.586950
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'e15942edf967'
down_revision = '30db2293ca83'
branch_labels = None
depends_on = None
def upgrade():
# ... | gamesover/cs50w-project1 | migrations/versions/e15942edf967_.py | e15942edf967_.py | py | 695 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "alembic.op.add_column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.DateTim... |
42022642483 | from typing import Optional
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val=val
self.left=left
self.right=right
class Solution:
def sumNumbers(self, root: Optional[TreeNode]) -> int:
if root is None:
return 0
res = 0
queu... | nikasakandelidze/algorithms | sumRootToLeafNumbers/sumRootToLeafNumbers.py | sumRootToLeafNumbers.py | py | 936 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "typing.Optional",
"line_number": 12,
"usage_type": "name"
}
] |
23109976001 | from argparse import ArgumentParser
from common.util import load_hyperparams, merge_dict
import os
from rl.bernoulli_bandits.model_setup import BernoulliBandit
from rl.bernoulli_bandits.model_setup import EpsilonGreedyAgent, ThompsonSamplingAgent, UCBAgent
from rl.bernoulli_bandits.util import get_regret, plot_regret
... | markmo/dltemplate | src/rl/bernoulli_bandits/__init__.py | __init__.py | py | 1,137 | python | en | code | 57 | github-code | 21 | [
{
"api_name": "os.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "common.util.merge_dict",
... |
7749185530 | import numpy as np
import pickle
import os
from PIL import Image
from config import imshape, n_classes, labels, model_name
import imgaug as ia
from imgaug import augmenters as iaa
import cv2
import json
import tensorflow as tf
ia.seed(1)
seq = iaa.Sequential([
iaa.Fliplr(0.5),
iaa.Multiply((1.2, 1.5)),
i... | Tim-R413/Cover-Crop-Image-Segmentation | FCN segmentation/IMAGE_SEGMENTATION_PROJECT/data_generator.py | data_generator.py | py | 6,492 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "imgaug.seed",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "imgaug.augmenters.Sequential",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "imgaug.augmenters",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "imgaug.aug... |
71027346932 | #!/usr/bin/python3
"""
This script uses Basic Authentication with a access token to access github
"""
import requests
import sys
if __name__ == "__main__":
if len(sys.argv) != 3:
print("Usage: ./10-my_github.py <username> <token>")
sys.exit(1)
username = sys.argv[1]
token = sys.argv[2]... | billwk254/alx-higher_level_programming | 0x11-python-network_1/10-my_github.py | 10-my_github.py | py | 533 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.argv",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 18... |
11442345712 | import logging
from utils import singleton
@singleton.Singleton
class Logger():
def __init__(self):
self.logger = logging.getLogger('app')
self.logger.setLevel(logging.DEBUG)
self.fh = logging.FileHandler('log/app.log')
self.fh.setLevel(logging.DEBUG)
# self.logger.addHandl... | carmodysan/cpxng | utils/log.py | log.py | py | 652 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "logging.FileHandler",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG"... |
19548867920 | import os
import pickle
import numpy as np
import torch
from torch.utils import data
from skimage.io import imread
from albumentations import *
import h5py
def get_loss():
return torch.nn.BCELoss(reduction="sum")
def get_optimizer(params, optim_type, LEARNING_RATE):
if optim_type == "adam":
... | SimonHaastrup/Thesis_Public | supervised/utils.py | utils.py | py | 4,360 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.nn.BCELoss",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "torch.optim.Adam",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.optim",
"li... |
18727019129 | import pandas as pd
import copy
import json
from dateutil.parser import parse
from falx.utils import table_utils
def gen_visual_trace_with_mult(_data, _fields):
"""given a dataset and a few fields, returns the projection of the table on the fields
the result is represented as a map that maps each tuple to its mult... | Mestway/falx | falx/utils/vis_utils.py | vis_utils.py | py | 11,175 | python | en | code | 15 | github-code | 21 | [
{
"api_name": "pandas.DataFrame.from_dict",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 49,
"usage_type": "attribute"
},
{
"api_name": "copy.deepcopy",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "copy.d... |
23235028728 | import os
import yaml
CONFIG_DIR = os.path.sep.join([os.getenv('HOME'), '.pyremote'])
CONFIG_FILE = os.path.sep + 'config.yaml'
CONFIG_FULL_PATH = CONFIG_DIR + CONFIG_FILE
def create():
if os.path.exists(CONFIG_DIR + CONFIG_FILE):
return
if not os.path.exists(CONFIG_DIR):
os.makedirs(CONFIG_... | urazoth/pyremote | config.py | config.py | py | 695 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "os.path.sep.join",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "os.getenv",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
... |
7936813200 | import requests
import pandas as pd
date="14 July 2020"
url="https://en.wikipedia.org/wiki/COVID-19_pandemic_in_Tamil_Nadu#covid19-container"
data=requests.get(url)
capturedData=data.text.split("The data below are based on Health and Family Welfare Department of Tamil Nadu daily reports.")[1].split(">By cluster<")[0]
... | DeepakStarkz/PythonDataAnalyticsCorona | WebScrapper/scrapper.py | scrapper.py | py | 1,196 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 23,
"usage_type": "call"
}
] |
9086102077 | from tkinter import *
from tkinter import filedialog
from openpyxl import Workbook, load_workbook
from io import StringIO
import threading
import sys
import time
import os
import numpy as np
import sqlite3
import mne
class NullIO(StringIO):
def write(self, txt):
pass
#Formats the edf for the al... | VivianDLi/AutoScorer | AutoScorer.py | AutoScorer.py | py | 9,244 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "io.StringIO",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "mne.io.read_raw_edf",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "mne.io",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "mne.time_frequency.psd_ar... |
22048251749 | from player import Player
from random import choice
from copy import copy, deepcopy
from blok import Blok
from multiprocessing import Pool
class AI(Player):
def __init__(self, p_id):
self.board = []
super().__init__(p_id)
def decide_action(self, board, depth=0, player=0, playerhands=False):
... | mkr-mac/Blokus-Bot | ai.py | ai.py | py | 5,978 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "player.Player",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "random.choice",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Pool",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "copy.copy",
"line... |
38418674632 | import datetime
from datetime import datetime
import pymongo
import requests
## this script is used to collect the reddit data
# The subreddits are extracted from reddit
#search the for comments from the subreddits pulled and save this data in the database
my_client = pymongo.MongoClient("mongodb://127.0.0.1:27017/... | phani8179/Most_popular_sports | data_collection.py | data_collection.py | py | 2,414 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "requests.auth.HTTPBasicAuth",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "requests.auth",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "re... |
13884868398 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('wagtailimages', '0013_make_rendition_upload_callable'),
]
operations = [
# We create a new attribute to allow the data migra... | Stasonhub/wagtail | wagtail/wagtailimages/migrations/0014_remove_filter_model_1.py | 0014_remove_filter_model_1.py | py | 991 | python | en | code | null | github-code | 21 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AddField",
"line_number": 15,
"usage_type": "call"
},
{
... |
22204489816 | import psycopg2
import random
from datetime import datetime, timedelta
def random_date(start, end):
delta = end - start
int_delta = delta.days
random_days = random.randrange(int_delta)
dt = start + timedelta(days=random_days)
return dt
def db_connect():
conn = psycopg2.connect(
host=... | sebsm/BD2-Project | gen_db.py | gen_db.py | py | 9,642 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "random.randrange",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "psycopg2.connect",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "random.choice",
... |
42116092912 | # -*- coding: utf-8 -*-
"""
Created on Fri Mar 1 14:50:32 2019
@author: lei
"""
import tensorflow as tf
import cv2
import numpy as np
import os
from multiprocessing import Process, Queue
import time
import random
import math
from scipy.io import loadmat
import caffe_classes
max_num = 1000 #max r... | RoyYiLei/Convert-the-ILSVRC2012-images-to-tfrecord | tfrecord_maker.py | tfrecord_maker.py | py | 8,817 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "scipy.io.loadmat",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.squeeze",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.squeeze",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_... |
6069837533 | from aiogram.dispatcher import FSMContext
from aiogram.dispatcher.filters.state import State, StatesGroup
from aiogram import types
from aiogram.types import InlineKeyboardMarkup, InlineKeyboardButton
from aiogram.dispatcher.filters import Text
from DB import sqlite_db
from keyboard import admin_keyboard
u_ID = None
... | Xumpocmb/Pizza-TelegramBot | handlers/admin.py | admin.py | py | 6,015 | python | ru | code | 0 | github-code | 21 | [
{
"api_name": "aiogram.dispatcher.filters.state.StatesGroup",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "aiogram.dispatcher.filters.state.State",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "aiogram.dispatcher.filters.state.State",
"line_number": 1... |
32124483516 | import json
import transformers
from transformers import AutoTokenizer,BertTokenizerFast
prompt_match={'M':'materials type','R':'regulatory factor','P':'product category','F':'faradaic efficiency','CO2':'carbon dioxide','CA':'catalyst','ELE':'electroreduction','RE':'reduction'}
tokenizer=AutoTokenizer.from_pretrained('b... | Xzaohui/chemical_IE | data/ner_data_manage.py | ner_data_manage.py | py | 3,292 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "transformers.AutoTokenizer.from_pretrained",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "transformers.AutoTokenizer",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 10,
"usage_type": "call"
},
{
"ap... |
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