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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
4381184566 | #Licensed under AGPL-3.0-only
import requests,getpass,time
import payload,login,retrieve,download
def main():
subjects=sorted(payload.subject)
session=requests.Session()
while True:
for i in range(len(subjects)):
print("{:2d}.{}".format(i+1,subjects[i]))
try:
choice=input("\nYour choice: ")
subject=subj... | hzlmy2002/Edexcel_pastpaper_downloader | main.py | main.py | py | 2,652 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "payload.subject",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "requests.Session",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "getpass.getpass",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "login.Login",
... |
7440666737 | import numpy as np
import matplotlib.pyplot as plt
from matplotlib.colors import ListedColormap
def plot_decision_boundary(model, X, y):
X = X.T
y = y.T
# Set min and max values and give it some padding
x_min, x_max = X[0, :].min() - 1, X[0, :].max() + 1
y_min, y_max = X[1, :].min() - 1, X[1, :].... | DiploDatos/IntroduccionAprendizajeAutomatico | archive/2019/utils.py | utils.py | py | 955 | python | en | code | 26 | github-code | 21 | [
{
"api_name": "numpy.meshgrid",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.c_",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.contourf"... |
14113378604 | """
APIs for Chat
"""
import json
from django.core.paginator import Paginator, EmptyPage
from django.db.models import Q, Count, F
# from django.shortcuts import render
from rest_framework import generics, mixins, status
from rest_framework.decorators import api_view, permission_classes
from rest_framework.permissions ... | metalgear-dev/gui-engine | chat/views.py | views.py | py | 28,258 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "models.Notice.objects.filter",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "models.Notice.objects",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "models.Notice",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": ... |
41803880750 | import sys
import Deepak
from Deepak import BOTLOG_CHATID, PM_LOGGER_GROUP_ID
from .Config import Config
from .core.logger import logging
from .core.session import legend
from .start import killer
from .utils import (
add_bot_to_logger_group,
hekp,
install_extrarepo,
load_plugins,
setup_bot,
s... | OFFICIALHACKERERA/PLUGINSS | Deepak/__main__.py | __main__.py | py | 1,815 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "core.logger.logging.getLogger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "core.logger.logging",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "Deepak.__copyright__",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_n... |
3932896063 | import keras_vggface
import tensorflow as tf
import numpy as np
import config_file as conf
import math
import cv2
import model_v2_build
import keras
from sklearn.svm import SVC
def initial_model_v2():
base_model = model_v2_build.Vggface2_ResNet50(mode='train')
base_model.load_weights('./weights.h5')
model... | GaryUSTC/FeatureTransform | evaluation.py | evaluation.py | py | 7,115 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "model_v2_build.Vggface2_ResNet50",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "keras.Model",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "keras_vggface.VGGFace",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "te... |
9891808360 |
# Test to use argparse lib
#
import argparse
parser = argparse.ArgumentParser(prog = 'top',
description = 'Show top lines from the file')
parser.add_argument('-l', '--lines', type=int, default=10)
args = parser.parse_args()
# Usage python test-argparse-lib.py --lines=5 data/lotto/source/otos.csv
| ZoliQua/python-home-kezdo | test-argparse-lib.py | test-argparse-lib.py | py | 312 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 7,
"usage_type": "call"
}
] |
33634999213 | import logging
import os
import time
from datetime import datetime
from dateutil.relativedelta import relativedelta
import pytz
import MetaTrader5 as mt5
import numpy as np
import pandas as pd
from MT5Monitor_EMACross_DBv1.mt5monitor_dbv1.configuration.app_config import config, \
get_round_decimal
from MT5Monitor_E... | nerusm/MT5Monitor_EMACross_DBv1 | mt5monitor_dbv1/mt5_api/ema_cross_s1/ema_cross.py | ema_cross.py | py | 14,198 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "MT5Monitor_EMACross_DBv1.mt5monitor_dbv1.configuration.app_config.get_round_decimal",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "logging.debug",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "MT5Monitor_EMACross_DBv1.mt5monitor_dbv1.utilit... |
5628072113 | """
기상 데이터를 관리합니다.
serviceKey 인증키
numOfRows 한 페이지 결과 수
pageNo 페이지 번호
dataType 응답자료형식
base_date 발표일자
base_time 발표시각
nx 예보지점 X 좌표
ny 예보지점 Y 좌표
맑음 0 ~ 5
구름많음 6 ~ 8
흐림 9 ~ 10
"""
import requests
from xml.etree import ElementTree
import time
import re
# base url
url = 'http://apis.data.go.kr/1360000/Vilage... | dbckd999/My_OOTD | my_ootd/app/weather.py | weather.py | py | 4,421 | python | ko | code | 0 | github-code | 21 | [
{
"api_name": "time.strftime",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree.fromstring",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "xml.etree... |
72267186293 | from django.conf.urls.defaults import patterns, include, url
from exemple1.views import current_datetime
from exemple1.books.views import search, contact, add_publisher, add_publisher_thanks, contact_thanks
# Uncomment the next two lines to enable the admin:
from django.contrib import admin
admin.autodiscover()
urlp... | alvarporcar/exemples_django | exemple1/urls.py | urls.py | py | 686 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.contrib.admin.autodiscover",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.conf.urls.defaults.patterns",
"line_number": 10,
"usage_type": "call"
},
... |
2055539770 | from setuptools import setup, find_packages
import sys, os
version = '0.0'
setup(name='mtj.evedb',
version=version,
description="EVE DB access helper",
long_description=open("README.rst").read() + "\n" +
open(os.path.join("mtj", "evedb", "README.rst")).read() + "\n" +
... | metatoaster/mtj.evedb | setup.py | setup.py | py | 998 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "setuptools.setup",
"line_number": 6,
"usage_type": "call"
},
{
"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.join",
"line_nu... |
33631077017 | from playsound import playsound
from pydub import AudioSegment
import random
import os
import os.path
import time
from datetime import datetime
import numpy as np
import csv
from pathlib import Path
# This is to easily run the script from the command line
# [] = optional
# Usage: python Music.py -name fil... | Achtuur/BCIBAP | Authentication/Code/Data/Experiments/Music/Music.py | Music.py | py | 3,613 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "random.randint",
... |
28476364522 | import cv2
import pytesseract
from utils import resize_image
pytesseract.pytesseract.tesseract_cmd = 'C:\\Program Files\\Tesseract-OCR\\tesseract.exe'
"""
Page segmentation modes:
0 Orientation and script detection (OSD) only.
1 Automatic page segmentation with OSD.
2 Automatic page segmentation, but ... | petargyurov/receipt-scanner | main.py | main.py | py | 2,587 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pytesseract.pytesseract",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "cv2.imread",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "utils.resize_image",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pytesseract... |
70462540212 | import sqlite3 as lite
import urllib2
from bs4 import BeautifulSoup
page = urllib2.urlopen("https://www.studentbeans.com/student-discount/uk/cats/all?page=100#page_100").read()
soup = BeautifulSoup(page,"html.parser")
soup.prettify()
divs = smydivs = soup.findAll("div", { "class" : "offer-info__header-info" })
h4 = []... | IMFIL/FreeScholars | env/app/DataBaseUKfiller.py | DataBaseUKfiller.py | py | 1,472 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "urllib2.urlopen",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 62,
"usage_type": "call"
}
] |
10487592254 | from tqdm import tqdm #progress bar
import numpy as np
import pandas as pd
import nengo
import pytry
import gymnasium as gym
import learnrules as rules
import representations as rp
import minigrid_wrap
from actor_critic import ActorCritic, ActorCriticLDN
##Softmax Function used for selecting next action
def softmax(x... | maddybartlett/Bio_Plausible_Memory_Continuous_Time_RL | network/ac_learn.py | ac_learn.py | py | 7,832 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "numpy.exp",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.max",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pytry.Trial",
"line_number": 18,
... |
18690219841 | from typing import Tuple, Dict
from yacs.config import CfgNode
import torch
from torch.utils.data import DataLoader
from torch.optim.lr_scheduler import OneCycleLR
from torchmetrics.functional import accuracy, precision, recall, auroc
import pytorch_lightning as pl
from models.scheduler import CosineAnnealingWarmupRe... | youyoungjang/tab-transformer | tab_transformer/core/bank_learner.py | bank_learner.py | py | 3,451 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "pytorch_lightning.LightningModule",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "yacs.config.CfgNode",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 15,
"usage_type": "name"
},
{
"api_name"... |
2967040803 | import torch.nn as nn
import torch.nn.functional as F
import torch
from torch.autograd import Variable
import numpy as np
class AdaptiveInstanceNorm2d(nn.Module):
"""Reference: https://github.com/NVlabs/MUNIT/blob/master/networks.py"""
def __init__(self, num_features, eps=1e-5, momentum=0.1):
super(A... | vanduong0504/GAN_CPS | models/norm.py | norm.py | py | 2,191 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "torch.zeros",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.ones",
"line_number... |
4672952813 | # Author: Vincent Dubourg <vincent.dubourg@gmail.com>
# Jake Vanderplas <vanderplas@astro.washington.edu>
# Jan Hendrik Metzen <jhm@informatik.uni-bremen.de>s
# License: BSD 3 clause
import numpy as np
from matplotlib import pyplot as plt
from sklearn.gaussian_process import GaussianProcessRegressor
f... | StoCon/pycon2016 | scikit_test.py | scikit_test.py | py | 2,248 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "utils.daily",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "utils.yearly",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "matplotli... |
39731378405 | from flask import Blueprint, request, jsonify, make_response, current_app
import json
from src import db
subletters = Blueprint('subletters', __name__)
# Add a sublettor profile to the database
@subletters.route('/subletters', methods=['POST'])
def create_subletter_profile():
# Access json data from request obj... | MiaHuebscher/project_flask | flask-app/src/subletters/subletters.py | subletters.py | py | 6,819 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Blueprint",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.current_app.logger.info",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.current_app.logger",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_na... |
74530825332 | import tweepy
from twill_util import Util
class Twill():
def __init__(self,
consumer_key=None,
consumer_secret=None,
access_token=None,
access_token_secret=None):
'''Initialize the tweepy api'''
self.util = Util()
if not consumer_key:
... | hasahmed/Twill | twill.py | twill.py | py | 906 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "twill_util.Util",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tweepy.OAuthHandler",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "tweepy.API",
"line_number": 24,
"usage_type": "call"
}
] |
16486421286 | """
Author Nicolas Peschke
Date 29.07.2019
"""
import redpitaya_scpi as scpi
import time
import argparse
import numpy as np
import matplotlib.pyplot as plt
def eval_scpi_slow_out_trigger_speed(rp_ip: str):
# Establish connection
rp_s = scpi.scpi(rp_ip)
# Reset acquisition
rp_s.tx_txt(f"... | npeschke/redpitaya-testing | eval_scpi_trigger_speed.py | eval_scpi_trigger_speed.py | py | 3,221 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "redpitaya_scpi.scpi",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots"... |
30688429611 | #https://adventofcode.com/2022/day/3
#from __future__ import annotations
from typing import Iterator
import itertools_recipes as ir
#import functools
import string
priority = " " + string.ascii_letters
test_input="""
vJrwpWtwJgWrhcsFMMfFFhFp
jqHRNqRjqzjGDLGLrsFMfFZSrLrFZsSL
PmmdzqPrVvPwwTWBwg
wMqvLMZHh... | copperfield42/Advent-of-Code-2022 | day03/day03.py | day03.py | py | 1,216 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "string.ascii_letters",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "itertools_recipes.interesting_lines",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "typing.Iterator",
"line_number": 23,
"usage_type": "name"
},
{
"api_... |
22167566784 | import numpy as np
import re
import glob
import ntpath
import os
from matplotlib import pyplot as plt
import sys
from scipy import stats
from kernelphysiology.utils import path_utils
from kernelphysiology.utils.controls import natural_keys
layer_type = 'relu'
csf_dir = "/home/arash/Desktop/projects/csf/"
activations_... | ArashAkbarinia/kernelphysiology | python/src/kernelphysiology/analysis/reports/csf_activations.py | csf_activations.py | py | 11,409 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "numpy.pi",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "numpy.exp",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 3... |
73595914294 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Aug 24 11:06:43 2017
@author: Deermini
"""
from numpy import *
import numpy as np
from sklearn.ensemble import GradientBoostingClassifier
import matplotlib.pyplot as plt
import xgboost as xgb
from GCForest import *
from sklearn.metrics import roc_curve... | Deermini/flavor-tagging | main.py | main.py | py | 9,326 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "collections.Counter",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "collectio... |
8597027797 | import uuid
from hamcrest import assert_that, equal_to, has_items, has_properties
from wazo_call_logd.database.models import Tenant
from .helpers.base import DBIntegrationTest
class TestTenant(DBIntegrationTest):
def test_create_all_empty(self):
before_create = self.session.query(Tenant).all()
... | wazo-platform/wazo-call-logd | integration_tests/suite/test_db_tenant.py | test_db_tenant.py | py | 1,860 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "helpers.base.DBIntegrationTest",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "wazo_call_logd.database.models.Tenant",
"line_number": 12,
"usage_type": "argument"
},
{
"api_name": "wazo_call_logd.database.models.Tenant",
"line_number": 17,
"usag... |
72748340214 | from os import path
from tornado import options
from tornado.httpserver import HTTPServer
from tornado.ioloop import IOLoop
from tornado.web import Application, RequestHandler
DIR_NAME = path.dirname(__file__)
class IndexHandler(RequestHandler):
def get(self, directory):
try:
self.render(path.join(direc... | jvandew/www | server.py | server.py | py | 1,287 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.dirname",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "tornado.web.RequestHandler",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"... |
152141413 | from .models import User
from .serializer import ComplaintsSerializer
from django.http import JsonResponse
from rest_framework.decorators import api_view
from rest_framework.response import Response
from rest_framework import status
from .models import Complaints
@api_view(['GET','POST'])
def complain(request, format=... | Marushka0308/DormCareBackend | DormCare/complain_views.py | complain_views.py | py | 2,366 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "models.Complaints.objects.all",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "models.Complaints.objects",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "models.Complaints",
"line_number": 12,
"usage_type": "name"
},
{
"ap... |
20136603245 | from selenium import webdriver
from time import sleep
# 导入动作链对应的类
from selenium.webdriver import ActionChains
driver = webdriver.Chrome()
driver.get('https://www.runoob.com/try/try.php?filename=jqueryui-api-droppable')
# 如果定位的标签是存在与iframe标签之中的，则必须通过如下操作再进行标签定位
driver.switch_to.frame('iframeResult') # 切换浏览器标签定位的作用域
d... | 2765776613/Spider | com/sl/第七章 动态加载数据处理/03动作链和iframe的处理.py | 03动作链和iframe的处理.py | py | 754 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.ActionChains",
"line_number": 14,
"usage_type": "call"
},
{
"api_na... |
71972861492 | #!/usr/bin/env python
# from node import Node
import colorsys
import copy
import math
from typing import List, NoReturn, Tuple
from PIL import Image
class Node:
def __init__(self, x, y, h=0.0, g=0.0, f=0.0, prev=None):
self.x = x
self.y = y
self.prev = prev
# f(n) = h(n) + g(n... | AstRonin/findpath | index.py | index.py | py | 9,194 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "math.sqrt",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 48,
"usage_type": "name"
},
{
"api_name": "typing.NoReturn",
"line_number"... |
42919407606 | from django.contrib.auth import get_user_model
from django.shortcuts import redirect
from django.contrib.auth.views import redirect_to_login
from PizzaProject.order.models import OrderItem
class ProductFormValidationMixin:
product = None
product_available_sizes = None
def get_context_data(self, **kwargs... | kristiyanradoslavov/PizzaOrderWebsite | PizzaProject/products/mixins.py | mixins.py | py | 3,707 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "PizzaProject.order.models.OrderItem.objects.filter",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "PizzaProject.order.models.OrderItem.objects",
"line_number": 74,
"usage_type": "attribute"
},
{
"api_name": "PizzaProject.order.models.OrderItem",
"li... |
29536138520 | import json
from metrics import (
prom_ignored_repos,
prom_sync_error_cnt,
prom_synced_repos,
)
from rich.console import Console
from rich.table import Table
class Statistics:
POS_SYNCED = 0
POS_IGNORED = 1
POS_ERRORS = 2
def __init__(self):
self._repos = {}
self.total =... | soerenschneider/git-repo-backup | git_repo_backup/stats.py | stats.py | py | 2,385 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "metrics.prom_ignored_repos.labels",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "metrics.prom_ignored_repos",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "metrics.prom_synced_repos.labels",
"line_number": 41,
"usage_type": "call"
... |
3938292122 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
sns.set()
df = pd.read_csv('desafio001\president_heights.csv')
print(df.head())
height = np.array(df['height(cm)'])
print(height)
print('media das alturas =:',round(height.mean(),2))
print("Altura minima: ",heig... | Henrique11154/AnaliseDeDados1 | texte.py | texte.py | py | 446 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "seaborn.set",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.hist",
"li... |
10796861463 | import json
data = {
"1": {
"name": "Flavio",
"age": 25,
"job": "random"
},
"2": {
"name": "Gabriel",
"age": 44,
"job": "random"
},
"3": {
"name": "Paulo",
"age": 19,
"job": "random"
}
}
def handler(event, context):
print(event)
if not event["pathParameters"] or not event["pathParameters"][... | alsmd/Chat | test/ServerlessProject/lambdas/endpoints/getUser.py | getUser.py | py | 802 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "json.dumps",
"line_number": 40,
"usage_type": "call"
}
] |
38165575225 | import time
import numpy as np
import cv2
import helpers
class QueryState(object):
def __init__(self, scan_interval = 100, handTracker=None, bodyTracker=None, emDetection=None):
self.handTracker = handTracker
self.bodyTracker = bodyTracker
self.emDetection = emDetection
self.sca... | Maddi97/cognitive_interaction_w_robots | control_unit/query_state.py | query_state.py | py | 2,432 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "cv2.destroyAllWindows",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "cv2.waitKey",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "helpers.mean_array... |
16256184276 | import pandas as pd
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.decomposition import TruncatedSVD
from nltk.tokenize import sent_tokenize, word_tokenize
from nltk.corpus import stopwords
from sklearn.decomposition import TruncatedSVD
import sys
# import nltk
# nltk.download('punkt')
# ... | abinashp437/OCR-summariser | text_summarisation.py | text_summarisation.py | py | 1,461 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "nltk.tokenize.sent_tokenize",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 19,
"usage_type": "call"
},
{
"api_name... |
4964260811 | """
SOFT VOTING
- Scikit-learn's implementation allows for soft voting as well.
- The only requirement is that the base learners implement the predict_proba function.
- In our example, Perceptron does not implment the function at all, while SCV only produces probabilitie when
it is passeed the probabil... | Akshaykumarcp/ML-ensemble-learning | 0.1_non_generative_ensemble_methods/0.1.1_voting_method/0.1.1.2_soft_voting.py | 0.1.1.2_soft_voting.py | py | 3,455 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sklearn.datasets.load_breast_cancer",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "sklearn.neighbors.KNeighborsClassifier",
"line_number": 34,
"usage_type": "call"
}... |
75197546613 | from collections import deque
dx = [1, -1, 0, 0]
dy = [0, 0, 1, -1]
def bfs(x, y):
q = deque()
q.append((x, y, 0))
while q:
x, y, sword = q.popleft()
for d in range(4):
nx = x + dx[d]
ny = y + dy[d]
if 0 <= nx < n and 0 <= ny < m and visited[nx][ny] >= ... | keeeeeey/baekjoon_algorithm | 00.SSAFY_ALGORITHM/수업시간 문제풀이/공주님을 구해라!.py | 공주님을 구해라!.py | py | 1,215 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.deque",
"line_number": 7,
"usage_type": "call"
}
] |
29722781400 | import os, sys, binascii, webbrowser
user = os.getlogin()
home = os.path.expanduser("~")
token_file = os.path.join(home, '.dbtoken/dropbox_shorturl')
token_pathdir = os.path.dirname(token_file)
access_token = ''
if os.path.isfile(token_file):
try:
with open(token_file, 'rb') as tkf:
tk = tkf.read()
access_to... | benbenbang/dropbox | authentication.py | authentication.py | py | 2,430 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.getlogin",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path.expanduser",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_num... |
3087690081 | import asyncio
import os
import random
import big_model.xunfei.base as xunfei
import persistent.base as persistent
from context.main import context, Profile
from core.comment.comments import *
from core.video import get_all_videos
# from persistent import delegate
from persistent.simple import SIMPLE_MARKED_FILENAME
... | Blushyes/BChat | plugins/reply_myself/reply_myself.py | reply_myself.py | py | 3,234 | python | en | code | 6 | github-code | 21 | [
{
"api_name": "asyncio.run",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "core.video.get_all_videos",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "persistent.simpl... |
23543555671 | # %%
import numpy as np
import matplotlib.pyplot as plt
import scipy.optimize
from utils.utils import p2Z
import utils.set_matplotlib_default
from numpy.random import choice
# Hyperparameters for this run
seed=1
n_trials = 100
n_trials_sig = 100
save_directory = "gf_test/"
test_stat="MLSnormal_positiv"
fff = "4_param... | IvanOleksiyuk/jet_cluster_scanning | dijet_full_fit.py | dijet_full_fit.py | py | 7,831 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.linspace",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "utils.test_statist... |
72110516854 | """djangoProject URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class... | WangTingYu2/chokonu-anti-smurf | anti-smurf/djangoProject/urls.py | urls.py | py | 1,808 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.urls.path",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "... |
12364068825 | from time import sleep
import cv2
import numpy as np
import pyautogui
import pyocr
import pyocr.builders
from PIL import Image, ImageGrab
TRIM_POS = (1474, 369, 2434, 1809)
def trim_img(file_name):
img = Image.open(file_name)
img_trim = img.crop(TRIM_POS)
img_trim.save('trim.png')
return img_trim
... | y-tsutsu/auto-ztype | auto_ztype.py | auto_ztype.py | py | 1,513 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "PIL.Image.open",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "PIL.ImageGrab.grab",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "PIL.ImageGrab",
"line... |
25981607498 | import xml.etree.cElementTree as et
import os
import re
root = '/media/kai/DATA/dataset/VOC/VOCdevkit/VOC2012'
xml_root = os.path.join(root,"Annotations")
original_image_root = os.path.join(root,"JPEGImages")
xml_files = os.listdir(xml_root)
inputfile = open('/home/kai/person_jpgs.txt','w')
is_person = 0
for file in x... | maxnchloebff/Object-classification-and-grasp-based-on-vision | something_else/classification_voc/try_reading_xml.py | try_reading_xml.py | py | 1,157 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "os.path.join",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
... |
70382503094 | """ Setuptools script """
from setuptools import setup, find_packages
kwargs = dict(
name="blackboardpoll2canvas",
description=(
'Import poll reports from BlackBoard Collaborate '
'Ultra into Canvas gradebook format'),
author='Giovanni Luca Ciampaglia',
author_email='glc3@mail.usf.edu'... | glciampaglia/blackboardpoll2canvas | setup.py | setup.py | py | 694 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "setuptools.find_packages",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_number": 27,
"usage_type": "call"
}
] |
21404838720 | from flask import Flask, render_template, url_for
app = Flask(__name__)
@app.route('/<title>')
@app.route('/index/<title>')
def index(title):
return render_template('base.html', title=title)
@app.route('/training/<prof>')
def training(prof):
if 'инженер' in prof.lower() or 'строитель' in prof.lower():
... | dariapotapova/html | 1.py | 1.py | py | 2,137 | python | ru | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.url_for",... |
18006470347 | import os
import pytest
from selenium import webdriver
import config
# helper method - enables us to specify a custom runtime flag and set a sensible default
# value gets passed through request variable
def pytest_addoption(parser):
parser.addoption("--baseurl",
action="store",
... | ibnez32/python-selenium | python-selenium/tests/conftest.py | conftest.py | py | 1,847 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "config.baseurl",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "config.browser",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path",
"l... |
1787537760 | """
.. module:: get_data_states
:synopsis: Returns STATES spectral data as a JSON string.
.. moduleauthor:: Scott W. Fleming <fleming@stsci.edu>
"""
import collections
import numpy
from data_series import DataSeries
from parse_obsid_states import parse_obsid_states
#--------------------
def get_data_states(obsid... | spacetelescope/MASTDataDelivery | get_data_states.py | get_data_states.py | py | 2,834 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "collections.namedtuple",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "parse_obsid_states.parse_obsid_states",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "numpy.genfromtxt",
"line_number": 53,
"usage_type": "call"
},
{
"api... |
6014921184 | from flask import Flask,render_template,request,url_for,make_response,abort,redirect
from werkzeug.routing import BaseConverter
from werkzeug.utils import secure_filename
from flask_script import Manager
from os import path
class RegexConverter(BaseConverter):
def __init__(self,url_map,*items):
super(Reg... | TomasWang28/flask_second_project | discards/unit1/app_old.py | app_old.py | py | 1,752 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "werkzeug.routing.BaseConverter",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "flask.Flask",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask_script.Manager",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "flask.... |
30638037930 | """
Solution for 340. Longest Substring with At Most K Distinct Characters
https://leetcode.com/problems/longest-substring-with-at-most-k-distinct-characters/
"""
from collections import defaultdict
from collections import OrderedDict
class Solution:
"""
Runtime: 72 ms, faster than 86.01% of Python3 online submiss... | KKosukeee/CodingQuestions | LeetCode/340_longest_substring_with_at_most_k_distinct_characters.py | 340_longest_substring_with_at_most_k_distinct_characters.py | py | 2,783 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.defaultdict",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 101,
"usage_type": "call"
}
] |
27723818188 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Aug 23 14:36:28 2018
@author: william
"""
import getpass
import csv
from datetime import datetime
import math
compname = getpass.getuser()
#datapath = "/home/"+ compname +"/full_tests/full_test_v3_6/"
datapath = ""
def generate_robot_gt_file... | tsangkai/multirobot_localization_utias | src/tools/read_csv.py | read_csv.py | py | 3,255 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "getpass.getuser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "datetime.dateti... |
73834920693 | from collections import deque
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
class Solution:
def minDepth(self, root: TreeNode) -> int:
if root:
return self.bfs(root)
return 0
def isL... | kalmad99/CompetitiveProgramming | Week 7/minimumDepthofBinaryTree.py | minimumDepthofBinaryTree.py | py | 874 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.deque",
"line_number": 19,
"usage_type": "call"
}
] |
16420943996 | import torch
import torch.nn as nn
from torchvision.datasets import CIFAR10
from torchvision import transforms
from torch.utils.data import DataLoader
from torch.utils.tensorboard import SummaryWriter
CIFAR10Dataset = CIFAR10(
root=r'cifar',
train=False,
transform=transforms.ToTensor(),
download=True,
... | fl0w2Bloom/note | torch/ConvTest.py | ConvTest.py | py | 1,694 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torchvision.datasets.CIFAR10",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms.ToTensor",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 11,
"usage_type": "name"
},
{
... |
30126198091 | # Creates a manifest of all files in a directory. The output is a CSV file that contains the path
# to each file and the SHA1 hash. A hash file of the manifist and a README are also created.
#
# Usage:
# python create_manifest.py <directory> <manifest>
import datetime
import os
import sys
import hashlib
import manifes... | tjdistler/dev | file_utils/diff/create_manifest.py | create_manifest.py | py | 2,716 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.datetime.now",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",... |
74391014453 | #-*-coding =utf-8 -*-
#@time :2021/12/6 11:16
#@Author: Anthony
import os
import re
import numpy as np
from torch.utils.data import Dataset
from PIL import Image
class catdog(Dataset):
def __init__(self,root, transform):
self.images = os.listdir(root)
# print(self.images)
self.images.sort(k... | anthonyluosen/pytorch | project/Efficientnet_practice/dataset.py | dataset.py | py | 1,037 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "os.listdir",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"lin... |
40697088315 | from flask import render_template, g, request, jsonify, current_app, session, redirect, abort
from info import db, constants
from info.models import Category, News, User
from info.modules.profile import profile_blu
from info.utils.common import user_login_data
from info.utils.image_storage import storage
from info.uti... | 18882028307/flask_newworld | info/modules/profile/views.py | views.py | py | 12,761 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.g.user",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "flask.g",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "flask.redirect",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
... |
24291585496 | import os
import discord
import pickle
from functions import *
import gem
import build
dir = r'C:\Path\to\Gemtree'
os.chdir(dir)
token_file = open('token.txt', 'r')
for token in token_file:
TOKEN = token
client = discord.Client()
# a gem is represented as RPN, where a 1 is a basic gem and a ... | MasN2/Gemtree | main.py | main.py | py | 4,436 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.chdir",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "discord.Client",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "gem.BasicGem",
"line_number":... |
36294117842 | from pathlib import Path
import pandas as pd
from prefect import flow, task
from prefect_gcp.cloud_storage import GcsBucket
from prefect_gcp import GcpCredentials
@task(retries=3)
def extract_from_gcs(color: str, year: int, month: int) -> Path:
"""Download trip data from GCS"""
gcs_path = f"data/{color}/{colo... | daurensd/zoomcamp | week_2_workflow_orchestration/2.3_etl_gcs_to_bq.py | 2.3_etl_gcs_to_bq.py | py | 1,575 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "prefect_gcp.cloud_storage.GcsBucket.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "prefect_gcp.cloud_storage.GcsBucket",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 14,
"usage_type": "call"
},
... |
20785668052 | import os,sys,glob
from skimage.io import imread
sys.path.append(os.path.join(os.getcwd(), "../util"))
import numpy as np
import pickle
import matplotlib.pyplot as plt
# allow GPU growth
def to_gray(x_in):
[rows,cols] = np.shape(x_in)[0:2]
x = np.zeros((rows, cols))
for i in range(rows):
for j in range(cols... | dyang37/Deep-Proximal-Map | python-plugandplay/cnn/raw_data_gen.py | raw_data_gen.py | py | 985 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "sys.path.append",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
465986403 | import os
import json
import pickle
import torch
import gym
from models.gail import GAIL
from stable_baselines3 import SAC
def main(env_name):
ckpt_path = "ckpts"
if not os.path.isdir(ckpt_path):
os.mkdir(ckpt_path)
expert_ckpt_path = "experts"
expert_ckpt_path = os.path.join(expert_ckpt_p... | cJamesSmith/drive | IL/GAIL/train.py | train.py | py | 1,492 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.isdir",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number":... |
19676443955 | #! python2
# -*- coding: utf-8 -*-
import pprint
import pymongo
import datetime
from pymongo import MongoClient
import os
import re
from nltk import word_tokenize, pos_tag
from nltk.tokenize import RegexpTokenizer
from nltk.stem.porter import PorterStemmer
import progressbar
import spacy
nlp = spacy.load('en_cor... | Palastore/FinalProject | code_for_project/preprocess.py | preprocess.py | py | 4,681 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "spacy.load",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pprint.PrettyPrinter",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "pprint.PrettyPrinter.format",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "ppri... |
30210093726 | #!/usr/bin/python
# -*- coding: UTF-8 -*-
"""
Config for app
Author: lujianyu
Email: iam@jianyujianyu.com
"""
from config import LANGUAGE
if LANGUAGE == 'ch':
text_images_directory = '原图目录'
text_label = '标签'
text_label_name = '名称:'
text_add_label = '创建'
text_delete_label = '删除'
text_... | aimreant/rcnn-labeler | lang.py | lang.py | py | 4,704 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "config.LANGUAGE",
"line_number": 12,
"usage_type": "name"
}
] |
15643057862 | import numpy as np
import itertools
import math
import os
def deg2num(lat_deg, lon_deg, zoom):
lat_rad = math.radians(lat_deg)
n = 2.0 ** zoom
xtile = int((lon_deg + 180.0) / 360.0 * n)
ytile = int((1.0 - math.asinh(math.tan(lat_rad)) / math.pi) / 2.0 * n)
return (xtile, ytile)
d... | abugnard/HGDR | basemap.py | basemap.py | py | 6,260 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "math.radians",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "math.asinh",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "math.tan",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "math.pi",
"line_number": 12,
... |
41194084733 | from django.urls import path
from .views import *
urlpatterns = [
path('login/', loginPage, name='login'),
path('logout/', logoutPage, name='logout'),
path('register/', registerPage, name='register'),
path('', HomeListView.as_view(), name='home'),
path('profile/<str:pk>/', ProfileDetailView.as_vi... | wenerikk5/dev_rooms | base/urls.py | urls.py | py | 736 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
17057763833 | import ctypes
import logging
from . import sss_api as apis
from .keystore import KeyStore
from .keyobject import KeyObject
log = logging.getLogger(__name__)
class PCR: # pylint: disable=too-few-public-methods
"""
PCR Operation
"""
def __init__(self, session_obj):
"""
Constructor
... | autopi-io/autopi-core | src/salt/base/state/secure_element/se05x_sss/sss/pcr.py | pcr.py | py | 2,565 | python | en | code | 142 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "keystore.KeyStore",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "keyobject.KeyObject",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "ctypes.c_uint8... |
6661559436 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import sys
sys.path.append("..")
from modules.sequential import Sequential
from modules.linear import Linear
from modules.softmax import Softmax
from modules.relu import Relu
from modules.tanh import Tanh
from ... | VigneshSrinivasan10/interprettensor | interprettensor/examples/mnist_convolutional.py | mnist_convolutional.py | py | 6,958 | python | en | code | 99 | github-code | 21 | [
{
"api_name": "sys.path.append",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.flags",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.logging"... |
13075135535 | import requests
middlewareURL = 'http://localhost:5000'
mgs = [{
'name': 'random',
'port': '24000'
}, {
'name': 'oneblock',
'port': '24004'
},
{
'name': 'target',
'port': '24002'
}, {
'name': 'fish',
'port': '24003'
}, ]
from connection import Connection
connection = Connection(d... | illinois/cs340-sp22-infinite-maze-shared | local-reset-mgs.py | local-reset-mgs.py | py | 758 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "connection.Connection",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "connection.db.servers.delete_many",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "connection.db",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_na... |
29853760360 | import argparse
import glob
import hashlib
import json
import os
IRMAS_INDEX_PATH = '../mirdata/indexes/irmas_index.json'
def md5(file_path):
"""Get md5 hash of a file.
Parameters
----------
file_path: str
File path.
Returns
-------
md5_hash: str
md5 hash of data in file_... | sebastianrosenzweig/mirdata | scripts/legacy/make_irmas_index.py | make_irmas_index.py | py | 6,590 | python | en | code | null | github-code | 21 | [
{
"api_name": "hashlib.md5",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "os.walk",
"line_number": 36... |
13198001199 | import logging
from qkan.database.dbfunc import DBConnection
VERSION = "3.0.8"
logger = logging.getLogger("QKan.database.migrations")
def run(dbcon: DBConnection) -> bool:
sqllis = [
"SELECT DiscardGeometryColumn('flaechen_he8', 'geom')",
"DROP TABLE flaechen_he8;",
"""
CREATE T... | hoettges/QKan | qkan/database/migrations/0016_recreate_flaechen_he8.py | 0016_recreate_flaechen_he8.py | py | 1,354 | python | de | code | 9 | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "qkan.database.dbfunc.DBConnection",
"line_number": 10,
"usage_type": "name"
}
] |
40352693177 | # -*- coding: utf-8 -*-
"""
Created on Mon Mar 2 11:43:45 2020
@author: gerha
"""
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import itertools
import click
import seaborn as sns
from tqdm import tqdm
from sklearn.model_selection import train_test_split
from sklearn.linear_model import Lin... | GerhardHarmsen/Physics-Machine-Learning-project | Shrinkage_methods.py | Shrinkage_methods.py | py | 13,638 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "ma... |
35441942154 | # -*- coding: utf-8 -*-
"""
Created on Wed Apr 4 12:29:08 2018
@author: Ouch
"""
import cv2
path = 'C:/Users/chich/Desktop/learningImage/'
pic = 'lena.png'
#灰階開圖
image = cv2.imread(pic, cv2.IMREAD_GRAYSCALE)
#視窗呈現圖
cv2.imshow('my image', image)
cv2.waitKey()
cv2.destroyAllWindows()
'''
用nump... | KikiHungNTU/LearningImageProcess | imageProcess.py | imageProcess.py | py | 1,005 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cv2.imread",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cv2.IMREAD_GRAYSCALE",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "cv2.imshow",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cv2.waitKey",
"li... |
23622493638 | import os
from fastapi import APIRouter, HTTPException, status, Depends, Path
from fastapi.responses import FileResponse
from backend.crud.crud_file import FileCruds
from backend.core.config import settings
from backend.db.db import get_db
from sqlalchemy.orm import Session
import uuid as uuid_pkg
from backend.helpers.... | Semolik/music | backend/api/api_v1/endpoints/files.py | files.py | py | 1,962 | python | ru | code | 3 | github-code | 21 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "backend.core.config.settings.UPLOADS_ROUTE",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "backend.core.config.settings",
"line_number": 10,
"usage_type": "name"
... |
73033198773 | import numpy as np
import matplotlib.pyplot as plt
xs = [ 0.00, 1.00, 2.00, 3.00, 4.00, 5.00, 6.00, 7.00] # Features
ys = [-0.82, -0.94, -0.12, 0.26, 0.39, 0.64, 1.02, 1.00] # Labels
m = 0.297022 # Slope
b = -0.860827 # Intercept
x_line = np.arange(np.min(xs)-0.5, np.max(xs)+0.5, 0.001)
y_line = m*x_line+b
fig = ... | LiuFang816/SALSTM_py_data | python/jostmey_NakedTensor/NakedTensor-master/line_of_best_fit.py | line_of_best_fit.py | py | 596 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "numpy.arange",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.min",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.max",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line... |
35364080105 | import arcade
from game import constants
class GameOverView(arcade.View):
def __init__(self, score):
super().__init__()
self.score = score
def on_show(self):
arcade.set_background_color(arcade.color.BLACK)
def on_draw(self):
WIDTH = constants.SCREEN_WIDTH
HEIGHT = ... | gublerj/gublerj-cse210-project | game/game_over.py | game_over.py | py | 1,132 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "arcade.View",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "arcade.set_background_color",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "arcade.color",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "game.cons... |
3408262761 | from mechanism import *
import numpy as np
from matplotlib import pyplot as plt
O2, A, B, C, D, E = get_joints('O2 A B C D E')
# C.follow = True
a = Vector((O2, A), r=2)
b = Vector((B, A), r=10)
c = Vector((O2, B), theta=0, style='ground')
d = Vector((A, C), r=4)
e = Vector((O2, E), theta=np.pi/2, style='ground')
f = ... | gabemorris12/mechanism | examples/crankslider.py | crankslider.py | py | 1,337 | python | en | code | 19 | github-code | 21 | [
{
"api_name": "numpy.pi",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.concatenate",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.deg2rad",
"line... |
38873682757 | # coding=utf-8
import time
from selenium import webdriver
from PIL import Image,ImageEnhance
import pytesseract
def get_auth_code(driver, code_element):
# driver = webdriver.Chrome()
driver.save_screenshot('../data/img/login.png')
imgSize = code_element.size
imgLocation = code_element.location
ran... | yuyong1992/auto_duty | Duty/test_case/case_login.py | case_login.py | py | 2,171 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "PIL.Image.open",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number"... |
13415546965 | """Menu item that is used to change the current setting for an enum value."""
import subprocess
from bullet import Bullet, colors, Input, Numbers, SlidePrompt
from getch import pause
from vigorish.cli.components import print_message, yes_no_cancel_prompt, yes_no_prompt
from vigorish.cli.menu_item import MenuItem
from... | a-luna/vigorish | src/vigorish/cli/menu_items/change_config_setting.py | change_config_setting.py | py | 7,641 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "vigorish.cli.menu_item.MenuItem",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "vigorish.constants.EMOJIS.get",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "vigorish.constants.EMOJIS",
"line_number": 25,
"usage_type": "name"
},
... |
12355961344 | #!/usr/bin/python
import re
import sqlite3 as lite
# https://days.pravoslavie.ru/Bible/Index.htm#V
# https://pomog.org/bible_en/34_daniel.htm
chapter = 14
with open("./dan_14en.txt", 'r') as content_file, lite.connect("./dan_en.sqlite") as con:
content = content_file.read()
content = ' '.join(content.split()... | alexeyismirnov/prayerbook_ios | scripts/daniel.py | daniel.py | py | 580 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "sqlite3.connect",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 18,
"usage_type": "call"
}
] |
42407422598 | import numpy as np
from batchgenerators.transforms.color_transforms import GammaTransform, ContrastAugmentationTransform
from batchgenerators.transforms.spatial_transforms import SpatialTransform, MirrorTransform
from batchgenerators.transforms.noise_transforms import GaussianBlurTransform, GaussianNoiseTransform
from ... | zhangliyuan97/MedIArtifacts | cls_task/training/dataloading/augmentations.py | augmentations.py | py | 2,164 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "batchgenerators.transforms.color_transforms.GammaTransform",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "batchgenerators.transforms.color_transforms.ContrastAugmentationTransform",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "batchgenerat... |
10439825754 | from pathlib import Path
from .files import CorpusFile, Formatter, IO, QueryFile
from .invertedfile import InvertedFile
from .lexer import Lexer, LexerStatistics
from .packer import Packer
from .retriever import Retriever
from .types import counter, generator
class InformationRetrieval:
def __init__(self, filena... | ribbas/grad_courses | 744_information_retrieval/assn/03/ir/__init__.py | __init__.py | py | 4,643 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pathlib.Path",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "files.CorpusFile",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "invertedfile.InvertedFile",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "retriever.Ret... |
38800167569 | from celery import shared_task
from django.conf import settings
from django.core.mail import EmailMessage
# @shared_task
def send_email_message(message: str, subject: str):
"""
Метод для отправки сообщения менеджеру на email
с контактными данными клиента.
:param message:
:param subject:
:retur... | Senyaiforex/mercedes_project | shope/coreapp/tasks.py | tasks.py | py | 721 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.core.mail.EmailMessage",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.conf.settings.EMAIL_MANAGER",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 16,
"usage_type": "name"
},... |
41621485384 | from flask import Flask, request, jsonify, render_template
import cv2
import cvlib as cv
from cvlib.object_detection import draw_bbox
import numpy as np
app = Flask(__name__)
@app.route('/', methods=['GET', 'POST'])
def index():
if request.method == 'POST':
image_file = request.files['... | agrharsh2000/object_detection | app.py | app.py | py | 1,049 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "flask.request.file... |
9160921823 | import win32com.client
import dss_function
import numpy as np
import networkx as nx
import pandas as pd
import matplotlib.pyplot as plt
import re
dss = win32com.client.Dispatch('OpenDSSEngine.DSS')
dssText = dss.Text
dssCircuit = dss.ActiveCircuit
dssSolution = dssCircuit.Solution
dss_data_dir = "..\\123Bus_Simple\\... | Abhijeet1990/GA-DistNWSegmentation | interact_dss_com.py | interact_dss_com.py | py | 4,210 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "win32com.client.client.Dispatch",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "win32com.client.client",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "win32com.client",
"line_number": 9,
"usage_type": "name"
},
{
"api_name... |
41770051484 |
import csv
import glob
import numpy as np
import os
from PIL import Image, ImageEnhance
import random
import scipy.signal
import soundfile as sf
import torch
import torchvision.transforms as transforms
class MusicImgAudPairDataset(object):
def __init__(self, args, pr, list_sample, split='train'):
self.p... | hxixixh/mix-and-localize | data/music_img_aud_pair.py | music_img_aud_pair.py | py | 7,728 | python | en | code | 15 | github-code | 21 | [
{
"api_name": "torchvision.transforms.Resize",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.ToTensor",
"line_number": 31,
"usage_type": "call"
},
{
... |
28179609102 | from bs4 import BeautifulSoup
import requests
response = requests.get("https://web.archive.org/web/20200518073855/https://www.empireonline.com/movies/features/best-movies-2/")
soup = BeautifulSoup(response.text, "html.parser")
art_tag = soup.find_all(name='h3', class_='title')
data = [item.getText() for item in art_... | JasonW25/Classes | 100daypython/movie-scraper/main.py | main.py | py | 603 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 6,
"usage_type": "call"
}
] |
12898897315 | import ply.lex as lex
reversed = {'if': 'IF', 'int': 'INT', 'while': 'WHILE'}
tokens = [
'SEMICOLON', 'LB_BR', 'RB_BR','LL_BR', 'RL_BR', 'EQUAL',
'LT','GT', 'MINUS', 'PLUS', 'LSHIFT', 'RSHIFT',
'ID','INT', 'STRING',
'WHILE','IF'
]
t_LL_BR = r'\('
t_RL_BR = r'\)'
t_EQUAL = r'='
t_LT = r'<'
t_GT=r'>'
t_... | CColike/Soochow-University-CS | Compilation principle practice/test2/demo.py | demo.py | py | 1,065 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "ply.lex.lex",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "ply.lex",
"line_number": 49,
"usage_type": "name"
}
] |
42187456001 | import sys, codecs
def load_kg(path):
kg = {}
reverse_kg = {}
kg_file_facts = 0
kg_file = codecs.open(path, 'r', encoding='utf-8', errors='ignore')
line = kg_file.readline()
while line:
kg_file_facts += 1
tokens1 = line.split('\t')
tokens2 = line.split()
tokens =... | fgullo/kger | src/load.py | load.py | py | 6,365 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "codecs.open",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "codecs.open",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "codecs.open",
"line_number": 78,
"usage_type": "call"
},
{
"api_name": "codecs.open",
"line_number": 9... |
8755474261 | import requests
import csv
import flask
from flask import *
from bs4 import BeautifulSoup
def Vultr():
arr2=[]
arr3=["STORAGE","CPU","MEMORY","BANDWIDTH","PRICE /mo"]
result1=requests.get("https://www.vultr.com/products/cloud-compute/#pricing")
soup1=BeautifulSoup(result1.content,"html.parser")
rows... | NachivelKishoreKumar/Data-Scrapping | Final.py | Final.py | py | 8,188 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_num... |
70884851893 | import datasets
from transformers import AutoTokenizer, AutoModelForSequenceClassification, \
AutoModelForQuestionAnswering, Trainer, TrainingArguments, HfArgumentParser
from helpers import prepare_dataset_nli, prepare_train_dataset_qa, \
prepare_validation_dataset_qa, QuestionAnsweringTrainer, compute_accuracy... | gregdurrett/fp-dataset-artifacts | run.py | run.py | py | 11,180 | python | en | code | 10 | github-code | 21 | [
{
"api_name": "transformers.HfArgumentParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "transformers.TrainingArguments",
"line_number": 13,
"usage_type": "argument"
},
{
"api_name": "datasets.load_dataset",
"line_number": 60,
"usage_type": "call"
},
{... |
6878163703 | import numpy as np
import sys
import os
from scipy.io.wavfile import read,write
import matplotlib.pyplot as plt
def get_framevalue(sr, frame1, frame2):
delta=np.finfo(float).eps
fourier1 = np.log(np.abs(np.fft.rfft(frame1)) + delta)
fourier2 = np.log(np.abs(np.fft.rfft(frame2)) + delta)
nu... | CaptainSame/Speech-Segregation-with-Machine-Learning | Handcrafted features/sflux.py | sflux.py | py | 2,587 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "numpy.finfo",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.log",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.abs",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.fft.rfft",
"line_number": 10... |
28504098500 | from django.contrib.auth.models import User
from django.contrib.auth import authenticate,login,logout
from django.http import HttpResponse
from django.shortcuts import render,redirect
from django.views.decorators.cache import never_cache
from django.contrib import messages
#import modules
import favicon
import requests... | Sharisali241/swa | SEOAnalyzer/views.py | views.py | py | 144,499 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.Session",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 256,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number"... |
19012277480 | import json
import argparse
import camdkit.red.reader
def main():
parser = argparse.ArgumentParser(description="Conver RED camera metadata to JSON according to the OSVP Camera Metadata Model.")
parser.add_argument(
'meta_3_file_path',
type=str,
help="Path to CSV file generated using REDline (`REDline -... | SMPTE/ris-osvp-metadata-camdkit | src/main/python/camdkit/red/cli.py | cli.py | py | 877 | python | en | code | 22 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "camdkit.red.reader.red.reader.to_clip",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "camdkit.red.reader.red",
"line_number": 22,
"usage_type": "attribute"
},
... |
33132324205 | from __future__ import annotations
from fastapi import FastAPI
from fastapi.requests import Request
from fastapi.responses import JSONResponse
from starlette.exceptions import HTTPException as StarletteHTTPException
from logger import logger
def setup_starlette_http_exception_handler(app: FastAPI) -> None:
@app... | kbondar17/fast-api-eshop-template | app/core/exceptions/starlette_http_exception.py | starlette_http_exception.py | py | 934 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "fastapi.requests.Request",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "starlette.exceptions.HTTPException",
"line_number": 14,
"usage_type": "name"
},
{
"api_n... |
33486172187 | import matplotlib.pyplot as plt
import datetime as dt
import pandas as pd
import numpy as np
def format_time_stamp(time_string: str) -> dt.datetime:
return dt.datetime.strptime(time_string[:-3], "%Y-%m-%d %H:%M:%S")
def get_time_stamps(time_strings: pd.DataFrame, format_str) -> np.array:
time_stamps = []
... | roshan2M/edX--harvard--using-python-for-research | Week 4/Case Study 5 - Bird Migration/MigrationTimeStamp.py | MigrationTimeStamp.py | py | 2,005 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": ... |
24138107372 | import requests
from bs4 import BeautifulSoup
import re
from datetime import datetime
import os
# listurl = 'https://www.youtube.com/playlist?list=PLiQ-AHFkVMznxM-NPbvtkVCQTR-8xXXI0'
print("请输入播放列表链接(+至少一个空格)：")
listurl = input()[:-1:]
filename = str(datetime.now().date()).replace("-","")[2::]+".txt"
f = open(filena... | SyouTono242/YoutubeScraper | Youtube.py | Youtube.py | py | 1,773 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "datetime.datetime.now",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "os.path.exists",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
17877969135 | #!/usr/bin/python3.4
## Pieterjan Montens 2016
## https://github.com/PieterjanMontens
import optparse
import json, yaml
import sys,os, os.path, importlib
#from grimp_importer import Importer
from solr_importer import SolrImporter
import logging, logging.config, logging.handlers
import pysolr
abspath = os.path.abspath(... | PieterjanMontens/grimp | src/grimp.py | grimp.py | py | 2,869 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.abspath",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.chdir",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_num... |
21199519172 | #!/usr/bin/env python3
# pylint: disable=C0209
"""
Exaplanation: emoji_process. Process the downloaded emoji file into appropriate format
Usage:
$ python emoji_process [ options ]
Style:
Google Python Style Guide:
http://google.github.io/styleguide/pyguide.html
@name emoji_process
@ver... | wayne-kirk-schmidt/emoji-tools | bin/emoji_process.py | emoji_process.py | py | 3,282 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.basename",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "urllib.parse.parse.urlsplit",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "urllib.pars... |
12256778351 | from collections import defaultdict
class Solution:
def intersect(self, nums1: List[int], nums2: List[int]) -> List[int]:
if not nums1 or not nums2:
return []
dct1 = defaultdict(int)
dct2 = defaultdict(int)
for i in nums1:
dct1[i] += 1
for i in nums2... | PlutoaCharon/CodeExercise_Python | LeetCode/每日一题/0805-350. 两个数组的交集 II.py | 0805-350. 两个数组的交集 II.py | py | 487 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "collections.defaultdict",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 9,
"usage_type": "call"
}
] |
7233805744 | """
Turn data.json into a vectorized array of words, also known as a Bag of Words
Cord Meados 2019
"""
import pandas as pd
from sklearn.feature_extraction.text import CountVectorizer
# Load the data to a pandas dataframe object
df = pd.read_json('data.json', orient='values')
# Get some basic info, like an example r... | CS467-Lich/tweetanalyzer | how-to/getTweets/jsonToBagOfWords.py | jsonToBagOfWords.py | py | 1,438 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.read_json",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sklearn.feature_extraction.text.CountVectorizer",
"line_number": 27,
"usage_type": "call"
}
] |
31267086274 | from tkinter import *
import tkinter.ttk as ttk
import tkinter.messagebox as mb
import tkcalendar as cal
root=Tk()
root.geometry('1000x1000+100+100')
photo1=PhotoImage(file='pictures/7.png')
back=Label(root,image=photo1)
back.pack(fill='both',expand='yes')
import pymysql
pymysql.install_as_MySQLdb()
import... | Shubham2299/Job-Portal | project/workshop_info.py | workshop_info.py | py | 4,893 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pymysql.install_as_MySQLdb",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "MySQLdb.connect",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "tkinter.messagebox.showinfo",
"line_number": 39,
"usage_type": "call"
},
{
"api_name":... |
72406332534 | import requests
import wget
import sys
from bs4 import BeautifulSoup
def main():
base_url = 'http://www.cs.unm.edu/~saia/classes/527-s18/'
fname_downloaded_list = '.downloaded.txt'
r = requests.get(base_url)
# print(r.status_code)
if r.status_code != 200:
print("Could not retrieve webpage:... | arjkb/lecture-sync-cs527 | sync.py | sync.py | py | 1,433 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "wget.download",
"line_numb... |
38782295292 | import arff
from bsddb import db
def five_way(pearson):
if pearson > .3: # high correlation
return "STRONG_POS"
elif pearson > .1 and pearson < .3: # mild correlation
return "MILD_POS"
elif pearson < -.3: # high negative correlation
return "STRONG_NEG"
elif pearson < -.1 and pea... | waltaskew/Honors-Thesis | get_features.py | get_features.py | py | 4,776 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "bsddb.db.DB",
"line_number": 80,
"usage_type": "call"
},
{
"api_name": "bsddb.db",
"line_number": 80,
"usage_type": "name"
},
{
"api_name": "bsddb.db.DB_HASH",
"line_number": 81,
"usage_type": "attribute"
},
{
"api_name": "bsddb.db",
"line_numbe... |
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