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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
22184040393 | import numpy as np
import pandas as pd
import seaborn as sns
from matplotlib import pyplot as plt
import scipy.cluster.hierarchy as sch
from scipy.cluster.hierarchy import linkage
from sklearn.cluster import KMeans
from sklearn.preprocessing import StandardScaler
from sklearn import preprocessing
from skl... | hdcoder/ExcelR-Assignments | Principal Component Analysis/Q1.py | Q1.py | py | 3,261 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.StandardScaler",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "sklearn.decomposition.PCA",
"line_number": 36,
"usage_type": "name"
},
{
"ap... |
5733329085 | '''
## Program: sbrowser.py
## Authors: Arnav Sharma
##
## Date: 19-01-2019
'''
import time
import shlex
import subprocess
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.ui import Select
from selenium.common.exceptions import WebDriverException
from selen... | arnav-dev/sanity-tool | sbrowser.py | sbrowser.py | py | 9,535 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "selenium.webdriver.Ie",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 50,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.support.ui.Select",
"line_number": 98,
"usage_type": "call"
},
{
"api... |
70075346922 | import base64
import tkinter as tk
def on_button_click():
# Get the hex string from the text entry
hex_string = entry.get()
# Decode the hex string to a bytes object
bytes_obj = bytes.fromhex(hex_string)
# Encode the bytes object to a base64 string
base64_string = base64.b64encode(bytes_obj).... | ciwen3/Public | Python/ChatGPT/CryptoPals/Set1/Challenge1.py | Challenge1.py | py | 940 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "base64.b64encode",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tkinter.Tk",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "tkinter.Label",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "tkinter.Entry",
"line_n... |
72646926120 | #!/usr/bin/python3 -u
# -*- coding: utf-8 -*-
__author__ = "Blurgy";
import data
import nn_utils as nn
import os
import sys
import numpy as np
import click
@click.command()
@click.argument("model-dump-file")
@click.option("--batch-size", type = int, default = 32,
help = "Specifies batch size, 32... | blurgyy/kaggle | mnist/nn/conv/validate.py | validate.py | py | 1,123 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "data.load_model",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "data.preprocess_testing_set",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.exist... |
28534624499 | import copy
import glob
import json
import os
import seaborn as sns
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
import matplotlib.patches as mp
from lazygrid.datasets import load_openml_dataset
from matplotlib.colors import ListedColormap
from sklearn.cluster import KMeans, DBSCAN, Agglomerat... | glubbdubdrib/predictable-feature-elimination | make_figs_clustering.py | make_figs_clustering.py | py | 5,789 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "glob.glob",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "lazygrid.datasets.load_openml_dataset",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "numpy... |
35554085349 | #Importing required modules
import pandas as pd
import pandas_profiling as pp
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn import preprocessing
from sklearn.linear_model import LinearRegression
#reading the train data and test data
train = pd.read_csv(r"heart_rate_prediction_train.csv")
test = pd... | satyaki2001/Heart-Rate-analysis-and-stress-level-prediction | model.py | model.py | py | 2,125 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.LinearRegression",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": ... |
27859501755 | """Various filters for Jinja."""
from datetime import datetime as _datetime
from calendar import month_name as _month_name
__all__ = [
"rating",
"article_date",
"breaking_spaces",
"datetime",
"month_name",
"suffix",
"tagsort_count",
"tagsort_name",
"custom_strftime",
"archive_d... | dflock/duncanlock.net | plugins/jinja_filters/jinja_filters.py | jinja_filters.py | py | 5,249 | python | en | code | 23 | github-code | 18 | [
{
"api_name": "calendar.month_name",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "typogrify.filters.amp",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 161,
"usage_type": "call"
},
{
"api_name": "datetime... |
19657600461 | from .Source import Source
from .EmotivPacket import EmotivPacket
from subprocess import check_output
from Crypto.Cipher import AES
from Crypto import Random
import threading
import select
import os
import code
class Emotiv(Source):
def __init__(self, headsetId=0, research_headset=True):
self.battery = 0
... | uj-robotics/jasugun | model/Emotiv.py | Emotiv.py | py | 5,971 | python | en | code | null | github-code | 18 | [
{
"api_name": "Source.Source",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "Crypto.Random.new",
"line_number": 92,
"usage_type": "call"
},
{
"api_name": "Crypto.Random",
"line_number": 92,
"usage_type": "name"
},
{
"api_name": "Crypto.Cipher.AES.block... |
25436107656 | # -*- coding: utf-8 -*-
import logging
from logging import handlers
import os
from pythonjsonlogger import jsonlogger
class Log:
__log_level_map = {
'debug' : logging.DEBUG,
'info' : logging.INFO,
'warn' : logging.WARN,
'error' : logging.ERROR,
'critical' : logging.CRITICA... | dodotdo-fms/hims-guest-server | hims_guest/hims_logger.py | hims_logger.py | py | 1,757 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.DEBUG",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "logging.INFO",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "logging.WARN",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "logging.ERROR"... |
21251734722 | import tensorflow.compat.v1 as tf
import os
import re
import time
import argparse
import datetime
import random
from socket import gethostname
from collections import deque, OrderedDict, namedtuple
from contextlib import ExitStack
from functools import partial
import numpy as np
import sys
import importlib
import valid... | alex-titterton/examples | applications/tensorflow/cnns/training/train.py | train.py | py | 38,187 | python | en | code | null | github-code | 18 | [
{
"api_name": "Datasets.data.DATASET_CONSTANTS",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "Datasets.data",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "collections.namedtuple",
"line_number": 32,
"usage_type": "call"
},
{
"api_nam... |
39899610955 | import cv2
import numpy as np
import matplotlib.pyplot as plt
img = cv2.imread('ratio.png', 0)
headlines = img[295:323, 285:345]
cv2.imshow('car', headlines)
cv2.imwrite('headlines.jpg', headlines)
# grey = cv2.cvtColor(car, cv2.COLOR_BGR2GRAY)
w, h = headlines.shape[::-1]
res = cv2.matchTemplate(img, headlines, cv2.T... | namdang-exe/Computer_Vision_project | CropImage.py | CropImage.py | py | 648 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cv2.imread",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.imwrite",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.matchTemplate",
"line_number":... |
22261194800 | from flask import Flask, render_template, url_for, flash, redirect, session, request
from util import json_response, hash_password
import queries as queries
import os
from datetime import timedelta
app = Flask(__name__)
app.secret_key = os.environ.get('SECRET_KEY', 'dev')
app.permanent_session_lifetime = timedelta(da... | Kakulive/ProMan | main.py | main.py | py | 4,498 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "datetime.timedelta",
"lin... |
73467790440 | ####import packages
import pandas as pd
import SD_Project as SD
import numpy as np
import gsw
import seawater as sw
import xarray as xr
import datetime
import matplotlib.pyplot as plt
from pandas.plotting import register_matplotlib_converters
register_matplotlib_converters()
print('loaded packages')
#data cleaning
#... | HSR-36/Rosenthal_et_al2023 | .ipynb_checkpoints/processing_SD_data-checkpoint.py | processing_SD_data-checkpoint.py | py | 6,172 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.plotting.register_matplotlib_converters",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "xarray.open_dataset",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "xarray.open_dataset",
"line_number": 28,
"usage_type": "call"
},
{... |
41159779045 | # -*- coding: utf-8 -*-
import cv2
import numpy as np
import os.path
import copy
from tqdm import tqdm
# 椒盐噪声
def SaltAndPepper(src, percetage):
SP_NoiseImg = src.copy()
SP_NoiseNum = int(percetage * src.shape[0] * src.shape[1])
for i in range(SP_NoiseNum):
randR = np.random.randint(0, src.shape[... | 4three2one/vit-plant-disease | robust/data_augmentation.py | data_augmentation.py | py | 8,521 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.random.randint",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.randint",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.ran... |
29962715912 | #!/usr/bin/python
# -*- coding: UTF-8 -*-
import time
from datetime import datetime
from uuid import uuid4
import bcrypt
from Crypto.PublicKey import RSA
from Crypto.Cipher import PKCS1_v1_5 as Cipher_pkcs1_v1_5
import base64
import allure
from data_etl import etl_process
from data_etl.etl_ccl_tag import get_random_... | srui1028/rpa_platform_auto_test-master | test_case/test_requirements_line_for_eight_roles.py | test_requirements_line_for_eight_roles.py | py | 23,877 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "project_path.TEST_DATA_PATH",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "utils.common_tools.CommonTool",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "utils.common_tools.CommonTool",
"line_number": 39,
"usage_type": "call"
},
... |
35151370830 | import os
path_run = '/home/phg17/Documents/Entrainment Experiment/Data Analysis'
os.chdir(path_run)
import phythm.io as io
from phythm.viz import scabox, plot_significance
from phythm.stats import stat_effect
import numpy as np
import matplotlib.pyplot as plt
from os.path import join
from sklearn.preprocessing impor... | phg17/ATacSy | behaviour_figure_help.py | behaviour_figure_help.py | py | 2,718 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.chdir",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "phythm.io.compute_data",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "phythm.io",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "numpy.arange",
"line_num... |
71426880360 | # General imports
import numpy as np
import pandas as pd
import os, warnings, datetime, math
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.preprocessing import LabelEncoder
warnings.filterwarnings('ignore')
########################### Helpers
#############################################... | aorursy/new-nb-3 | govind555_ieee-eda-lgbm.py | govind555_ieee-eda-lgbm.py | py | 19,421 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.iinfo",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "numpy.int8",
"line_number": 49,
"usage_type": "attribute"
},
{
"api_name": "numpy.int8",
... |
29766101293 | from typing import List
'''
给你一个整型数组 nums ，在数组中找出由三个数组成的最大乘积，并输出这个乘积。
示例 1：
输入：nums = [1,2,3]
输出：6
示例 2：
输入：nums = [1,2,3,4]
输出：24
示例 3：
输入：nums = [-1,-2,-3]
输出：-6
来源：力扣（LeetCode）
链接：https://leetcode-cn.com/problems/maximum-product-of-three-numbers
著作权归领扣网络所有。商业转载请联系官方授权，非商业转载请注明出处。
'''
class Solution:
def m... | tyutltf/Leecode | 601-700/628-三个数的最大乘积.py | 628-三个数的最大乘积.py | py | 864 | python | zh | code | 1 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 25,
"usage_type": "name"
}
] |
34583530662 | from collections import defaultdict
paths = []
with open("spaths.txt") as f:
pathss = f.readlines()
for path in pathss:
paths.append(path.strip().split("->"))
def get_path(src, dst):
for path in paths:
if src == path[0] and dst == path[-1]:
return path
def common_sw(path1, pa... | Peterzara/ACN2021 | lab3/scripts/get_num_shared_switches.py | get_num_shared_switches.py | py | 1,474 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.defaultdict",
"line_number": 23,
"usage_type": "call"
}
] |
21250981522 | import time
import os
import sys
import math
import ctypes
import random
import datetime
from functools import reduce
from collections import deque
from collections import defaultdict
from itertools import chain
import logging
import socket
import popart
import numpy as np
from torch.utils.tensorboard import SummaryWr... | alex-titterton/examples | applications/popart/bert/bert.py | bert.py | py | 46,602 | python | en | code | null | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"li... |
72969400360 | """
Definition of Column:
class Column:
def __init__(self, key, value):
self.key = key
self.value = value
"""
from collections import OrderedDict
class MiniCassandra:
def __init__(self):
self.hash = {}
"""
@param: raw_key: a string
@param: column_key: An integer
@p... | adityabohra007/Coding | LintCode 502. Mini Cassandra.py | LintCode 502. Mini Cassandra.py | py | 1,115 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "collections.OrderedDict",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 37,
"usage_type": "call"
}
] |
33643257471 | import time
from appium import webdriver
from appium.webdriver.extensions.android.gsm import GsmCallActions
class Test_Demo:
def setup(self):
desired_caps = {}
desired_caps['platformName'] = 'Android'
desired_caps['platformVersion'] = '10'
desired_caps['deviceName'] = '84681e49'
... | chenlei-123/appiumProject | mobile_api/test_mobile_api.py | test_mobile_api.py | py | 1,556 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "appium.webdriver.Remote",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "appium.webdriver",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "appium.webdriver.extensions.android.gsm.GsmCallActions.CALL",
"line_number": 31,
"usage_type": "... |
44501283668 | # %%%%%%%%%%%%% Machine Learning I %%%%%%%%%%%%%%%%%%
# %%%%%%%%%%%%% Authors %%%%%%%%%%%%%%%%%%%%%%%%%%%%
# Talal Alzahrani, MD, MPH ------>Email: tsa@gwu.edu
# %%%%%%%%%%%%% Date %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
# Final version August - 01 - 2018
# %%%%%%%%%%%%% Exploratory Data Analysis %%%%%%%%%%
# Importing the ... | tsa2018/ML1 | Final Project_SVM.py | Final Project_SVM.py | py | 2,909 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.set_option",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "warnings.filterwarnings",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "pandas.read_... |
41567752684 | from drf_extra_fields.fields import Base64ImageField
from recipes.models import Ingredient, Recipe, RecipeIngredient, Tag
from rest_framework import serializers
from .users import UserSerializer
class TagSerializer(serializers.ModelSerializer):
"""Тэги."""
class Meta:
model = Tag
fields = ('i... | promodern4/foodgram-project-react | backend/api/serializers/recipes.py | recipes.py | py | 4,949 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "recipes.models.Tag",
"line_number": 11,
"usage_type": "name"
}... |
73253653800 | import argparse
import datetime
import json
import os
import pathlib
import platform
import shlex
import shutil
import subprocess
import sys
import textwrap
import requests
from urllib.parse import urlparse
def parse_arguments():
"""
Arguments to be passed into the script
"""
parser = argparse.Argumen... | arn4v/auto-app-builder | build.py | build.py | py | 15,426 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 73,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_... |
25463860385 | import json
from mailru_im_async_bot.event import EventType
import state as State
async def command(bot, event):
await bot.send_text(chat_id=event.message_author['user_id'], text=f"command {event.text}")
async def run(bot, event):
await bot.send_text(chat_id=event.message_author['user_id'], text=f"run")
async d... | ICQ-BOTS/tests_bot | event_handlers.py | event_handlers.py | py | 2,179 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "json.dumps",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "state.start_session",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "mailru_im_async_bot.event.EventType.CALLBACK_QUERY",
"line_number": 59,
"usage_type": "attribute"
},
{... |
25120118804 | import pytest
@pytest.mark.django_db()
class TestSignupPage:
def test_log_out(self, client, saved_supplier0):
client.force_login(user=saved_supplier0.supplier_account)
response = client.get('/logout')
assert response.status_code == 302
assert response['Location'] == '/'
ass... | redhat-beyond/BuyTogether | buy_together_app/tests/test_logout.py | test_logout.py | py | 377 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pytest.mark.django_db",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 4,
"usage_type": "attribute"
}
] |
35286758606 | from django.shortcuts import render, get_object_or_404
from django.http import HttpResponse, HttpResponseRedirect
# Create your views here.
from .models import Question # also need to import Choice
from .models import Weather
# we will need a reverse URL lookup
from django.urls import reverse
# it's a good idea to pas... | onionmccabbage/djangoTraining | mysite/polls/views_old.py | views_old.py | py | 3,517 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "models.Question.objects.order_by",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "models.Question.objects",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "models.Question",
"line_number": 12,
"usage_type": "name"
},
{
"api... |
19257960445 | import pytest
import pathlib
from click.testing import CliRunner
from flexmock import flexmock
from ibata.CategoriesSummary import CategoriesSummary
from ibata.Category import Category
from ibata.Transaction import Transaction
@pytest.fixture
def runner():
return CliRunner()
@pytest.fixture
def config_dir():
... | stepa0648/ibata | tests/conftest.py | conftest.py | py | 2,487 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "click.testing.CliRunner",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pytest.fixtu... |
16794668262 | import streamlit as st
import yfinance as yf
import pandas as pd
import cufflinks as cf
import datetime
from fbprophet import Prophet
from fbprophet.plot import plot_plotly
from plotly import graph_objs as go
hide_streamlit_style = """
<style>
#MainMenu {visibility: hidden;}
.main... | rathaman1711/StockPredictionApp | Stock_Predict.py | Stock_Predict.py | py | 3,422 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "streamlit.markdown",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "streamlit.markdown",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "streamlit.sidebar.subheader",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "str... |
5064285804 | #!/usr/bin/env python3
import os
import glob
import base64
import pynvim
class GossipComment:
def __init__(self, path):
self.path = path
with open(path) as f:
self.text = f.read()
filename = os.path.basename(path)
b64ref, _ = filename.split('.gossip.md',maxsplit=1)
... | dixler/nvim-setup | rplugin/python3/github.py | github.py | py | 8,755 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.basename",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "base64.b64decode",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
... |
30618715454 | import functools
import inspect
import logging
import os
import torch
import torch.nn as nn
from torch.nn import init
from .helpers import build_model_with_cfg
from .registry import register_model
__all__ = ['UnetGenerator']
def _cfg(url='', **kwargs):
return {
'url': url,
# 'interpolation': 't... | RimeT/ptimz | ptimz/model_zoo/cyclegan2d.py | cyclegan2d.py | py | 16,947 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.join",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 61,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 62,
"usage_type": "attribute"
},
{
"api_name": "torch.load",
"line_number... |
3575785071 | import pandas as pd
import tensorflow as tf
from sklearn.model_selection import train_test_split
tf.logging.set_verbosity(tf.logging.ERROR)
def create_csv():
file = open('offline-train.txt','r')
with open('data.csv','w') as fcsv:
fcsv.write("Metric,Timestamp,Label,SR,Rate,GR,Load\n")
for f in file:
... | yatharth2209/Fault-Diagnostic-Model | dnn.py | dnn.py | py | 2,709 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "tensorflow.logging.set_verbosity",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "tensorflow.logging",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number": 38,
"usage_type": "call"
},
{
"api_name":... |
39435018363 | import json
import subprocess
import sys
from dataclasses import dataclass
from functools import cached_property
# Gufo Thor modules
from .log import logger
@dataclass
class DockerConfig(object):
"""
Docker daemon configuration.
Attributes:
logging_driver: Current logging driver.
server_... | gufolabs/gufo_thor | src/gufo/thor/docker.py | docker.py | py | 3,457 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "dataclasses.dataclass",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "sys.modules",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "functools.cached_property",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "log.... |
31983479048 | import sys
import os
import socket
import logging
from typing import Union, Any
from pathlib import Path
from ast import literal_eval
from configparser import ConfigParser, NoSectionError
from node import __version__
log = logging.getLogger()
class NodeConfig(ConfigParser):
_instances = {}
def __init__(sel... | OLED1/chia-manager-client | node/NodeConfig.py | NodeConfig.py | py | 4,116 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "configparser.ConfigParser",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path.real... |
13744157229 | import time
from pathlib import Path
import sys
import os
from src.aligners.barcode_aligner import BarcodeAligner
from src.aligners.library_matcher import OligoMatcher
# from src.analyzers.deletion_analyzer import DeletionAnalyzer
from src.analyzers.deletion_position_per_base_analyzer import DeletionPositionPerBaseAna... | rodanguy1/DNA-storage-web | eitans_files/Library-Analyzer-master/main.py | main.py | py | 8,315 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "seaborn.set",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "seaborn.set_palette",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.rc",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplo... |
6924216296 | import cv2
from matplotlib import pyplot as plt
#khandane aks
img = cv2.imread("images/IMG_2933_resize.jpg",0)
#emale filtere gaussian baraye kaheshe noise
gaussian = cv2.GaussianBlur(img, (3,3), 0)
#emale filtere laplacian bar rooye tasvir hamvar sazi shode
LoG = cv2.Laplacian(gaussian, cv2.CV_8UC1, ksize=3)
#nama... | ZahraEk/Tahlil_SarSilandr | SarSilandr_EdgeDetection.py | SarSilandr_EdgeDetection.py | py | 629 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cv2.imread",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.GaussianBlur",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.Laplacian",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.CV_8UC1",
"line_numbe... |
10849943282 |
from fractions import Fraction
x = Fraction(2, 7) * Fraction(5, 6) * Fraction(1, 5)
y = Fraction(5, 7) * Fraction(2, 6) * Fraction(1, 5)
z = Fraction(5, 7) * Fraction(4, 6) * Fraction(2, 5)
p = x + y + z
print("show probability: ", p)
print(" ------------------------------------ ")
| garyhsieh15/testdir | python_math/draw_lots.py | draw_lots.py | py | 287 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "fractions.Fraction",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "fractions.Fraction",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "fractions.Fraction",
"line_number": 6,
"usage_type": "call"
}
] |
6836920411 | #!/usr/bin/env python3
'''
Created on 20190209
Update on 20190209
@author: Eduardo Pagotto
'''
#pylint: disable=C0301
#pylint: disable=C0103
#pylint: disable=W0703
#pylint: disable=R0913
import logging
import subprocess
def execute_conversao(comando):
separado = comando.split(' ')
proc = subprocess.Popen(sep... | DeveloperBlumenauTeam/csapp | utils/executor.py | executor.py | py | 1,248 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "subprocess.Popen",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "subprocess.STDOUT",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "logging.... |
18233272359 | import torch
import torch.nn as nn
import torch.nn as nn
class Focal2DLoss(nn.Module):
def __init__(self, alpha=0.9, gamma=2):
super(Focal2DLoss, self).__init__()
self.base_criterion = nn.MSELoss()
self.alpha = alpha
self.gamma = gamma
def forward(self, logit, label):
... | czifan/pytorch-ChetPose | chetpose/models/losses.py | losses.py | py | 5,737 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "torch.nn.MSELoss",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numb... |
22140158418 | #coding:utf-8
import numpy as np
import os,pathlib
import torch
root = pathlib.Path(os.path.abspath(__file__)).parent.parent.parent
class TextcnnConfig(object):
def __init__(self):
self.corpus_path = os.path.join(root,"data","dataset","origin","qa_corpus.xlsx")
self.answer_map_path = os.path.join... | DengYangyong/retrieval_chatbot | nlu/textcnn/textcnn_config.py | textcnn_config.py | py | 1,488 | python | en | code | 10 | github-code | 18 | [
{
"api_name": "pathlib.Path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_numbe... |
29895092173 | import cv2
from os import listdir
import numpy as np
from datetime import datetime
path = 'C:\\Users\\ravel\\Google Drive\\M2\\Projet\\amicorpus\\IS1000a\\video\\IS1000a.C.avi'
array = [] #On sauvegarde le nombre de visages detecté
def difference(oldFrame,newFrame):
print("Difference : ")
diff... | masterdcups/team-PAM | opencv2.py | opencv2.py | py | 2,916 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cv2.absdiff",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "cv2.CascadeClassifier",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "cv2.CascadeClassifier",
... |
71535360039 | from django.urls import path
from . import views
from .views import DeletePostView, AddDislikes,AddLikes, AddCommentDislikes, AddCommentLikes, CommentReplyView, PostDetailView, EditPostView, ProfileView,ProfileEditView,PostNotificationView
urlpatterns = [
path("", views.starting_page_view, name="home-page"),
p... | dashney22/Logistics-Conversation | my_site/blog/urls.py | urls.py | py | 2,292 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "views.starting_page_view",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "views.cr... |
27336434021 | # Authors: Eric Larson <larson.eric.d@gmail.com>
# Sheraz Khan <sheraz@khansheraz.com>
# Denis Engemann <denis.engemann@gmail.com>
#
# License: BSD (3-clause)
import numpy as np
from ..filter import next_fast_len
from ..source_estimate import _BaseSourceEstimate
from ..utils import verbose, _check_c... | soheilbr82/BluegrassWorkingMemory | Python_Engine/Lib/site-packages/mne/connectivity/envelope.py | envelope.py | py | 5,495 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "utils._check_option",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "utils._check_combine",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 72,
"usage_type": "attribute"
},
{
"api_name": "source_esti... |
11139946804 | import discord
import os
import gdb
import botio
from dconsts import DefaultConstants as const, DefaultRegexes as regex
from p_action import PlayerAction
from keep_alive import keep_alive
# editar: TALVEZ transformar usar a propria PlayerAction ao inves de uma instancia da classe
bot = discord.Client()
cmd = botio.Com... | ngsylar/legendary_discord | src/main.py | main.py | py | 3,423 | python | pt | code | 0 | github-code | 18 | [
{
"api_name": "discord.Client",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "botio.CommandAnalyzer",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "botio.AutoResponder",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "gdb.GuildMem... |
74599364521 | "Functions for cross validation."
import os
from copy import deepcopy
from itertools import combinations
from collections import defaultdict
import json
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
from tabulate import tabulate
from radial.batchflow import Dataset, File... | analysiscenter/radial | research/research_utils.py | research_utils.py | py | 16,647 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "radial.batchflow.FilesIndex",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "radial.batchflow.Dataset",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "numpy.array_split",
"line_number": 52,
"usage_type": "call"
},
{
"api_name":... |
29979323968 | from looker_sdk import models, error
from lmanage.configurator.user_group_configuration.create_role_base import CreateRoleBase
from lmanage.utils.errorhandling import return_error_message
from tqdm import tqdm
from tenacity import retry, wait_random, wait_fixed, stop_after_attempt
class CreateInstanceRoles(CreateRole... | looker-open-source/lmanage | lmanage/configurator/user_group_configuration/create_instance_roles.py | create_instance_roles.py | py | 4,913 | python | en | code | 10 | github-code | 18 | [
{
"api_name": "lmanage.configurator.user_group_configuration.create_role_base.CreateRoleBase",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "looker_sdk.models.WriteRole",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "looker_sdk.models",
"line_numbe... |
28729555432 | #!/usr/bin/python
# Support for python2
from __future__ import print_function
#Modify system path
import sys
sys.path.append('../pycThermopack/')
# Importing pyThermopack
from pyctp import quantum_cubic
# Importing Numpy (math, arrays, etc...)
import numpy as np
# Importing Matplotlib (plotting)
import matplotlib.pyplo... | SINTEF/thermopack | addon/pyExamples/quantum_cubic.py | quantum_cubic.py | py | 841 | python | en | code | 40 | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pyctp.quantum_cubic.qcubic",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pyctp.quantum_... |
11480532911 | # -*- coding: utf-8 -*-
"""
Created on Tue Mar 15 23:18:35 2022
@author: lamya
"""
from flask import Flask, render_template, request
import pickle
import re
#from farasa.segmenter import FarasaSegmenter
from arabert.preprocess import ArabertPreprocessor
from pyarabic.araby import strip_tashkeel,strip_tatweel
from n... | Lamyaa-Zayed/ArabicDialectsClassification | App.py | App.py | py | 4,675 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "arabert.preprocess.ArabertPreprocessor",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "nltk.tokenize.TweetTokenizer",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 24,
"usage_type": "call"
},
{
"api_na... |
40743361829 | # mFLIM dataset synthetic generator
import logging as log
import numpy as np
import scipy.io
from scipy import linalg
def update_args(kwargs: dict) -> dict:
args_given = list(kwargs.keys())
default_args = {'n_order': 2, 'n_samples': 60, 'ts': 0.25e-9, 'snr': 0, 'psnr': 0}
for arg in args_given:
... | NoriakiMawatari/EBEAE_Algorithm | mFLIMsynth.py | mFLIMsynth.py | py | 9,089 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.info",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "logging.error",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "numpy.meshgrid",
"line_nu... |
21585028504 | from bs4 import BeautifulSoup
import requests
import re
from selenium import webdriver
def importUBetNBAPage():
#Opens the page and returns the html inside
browser = webdriver.Chrome()
url = "https://ubet.com/sports/basketball/nba/nba-matches"
browser.get(url)
# innerHTML = browser.execute_script(... | cheelees/bettingScraper | ubet.py | ubet.py | py | 2,239 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 28,
"usage_type": "call"
}
] |
16687089952 | #!python
__author__ = "DMcG"
__date__ = "$Jun 23, 2015 10:27:29 AM$"
import socket
import time
from io import BytesIO
from opendis.DataOutputStream import DataOutputStream
from opendis.dis7 import EntityStatePdu
from opendis.RangeCoordinates import *
UDP_PORT = 3001
DESTINATION_ADDRESS = "127.0.0.1"
udpSocket = s... | open-dis/open-dis-python | examples/dis_sender.py | dis_sender.py | py | 1,832 | python | en | code | 42 | github-code | 18 | [
{
"api_name": "socket.socket",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_DGRAM",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "socket.SOL_S... |
14391045663 | import numpy as np
import matplotlib.pyplot as plt
import h5py
def cargar_dataset():
train_dataset = h5py.File('datos/train_gato_vs_otros.h5', "r")
# características del conjunto de entrenamiento
train_set_x_orig = np.array(train_dataset["train_set_x"][:])
# etiquetas del conjunto de entrenamiento
... | fisico-alienado/TFM | Archivo_4/funciones_redes_neuronales.py | funciones_redes_neuronales.py | py | 20,255 | python | es | code | 0 | github-code | 18 | [
{
"api_name": "h5py.File",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "h5py.File",
"line_number": 13,
... |
31342586552 | import os
import numpy as np
from tqdm import tqdm
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
from data_source import DataSource
from settings import videos_folder
from util import parseTimestampToDate
class DataPlot:
""" This class creates the video with plotted data. """
... | jefmenegazzo/MPU-9250-Data-Plot-Video-Creator | src/data_plot.py | data_plot.py | py | 9,301 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "data_source.DataSource",
"line_number": 102,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 104,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 194,
"usage_type": "call"
},
{
"api_name": "matpl... |
40846824614 | import os
import torch
import torch.nn as nn
import torch.optim as optim
import torchvision
import torchvision.models as models
import torchvision.transforms as transforms
import argparse
import importlib
from PIL import ImageFile
ImageFile.LOAD_TRUNCATED_IMAGES = True
def test(model, test_loader, criterion, device,... | acareyup/Image-Classification-using-AWS-SageMaker | train_model.py | train_model.py | py | 6,302 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "PIL.ImageFile.LOAD_TRUNCATED_IMAGES",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "PIL.ImageFile",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "importlib.import_module",
"line_number": 16,
"usage_type": "call"
},
{
"ap... |
27538283549 | import numpy as np
import pandas as pd
from os.path import exists, join
from sklearn.metrics import mean_squared_error as mse
from datasets.dataloading import get_all_datasets
from experiments import results_path
def scale_loss(L, L_min, L_max):
return (L - L_min) / (L_max - L_min)
def main():
data = get_a... | g9a78ga0s8f6b/tsms | code/run_evaluation.py | run_evaluation.py | py | 2,213 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "datasets.dataloading.get_all_datasets",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.... |
20559584363 | import requests
from datetime import datetime
from bs4 import BeautifulSoup
def show_definitions(soup):
senseList = []
senses = soup.find_all('li', class_='sense')
for s in senses:
definition = s.find('span', class_='def').text
print(definition)
word_to_search = 'warp'
scrape_u... | 77neo/my-repo-zero | python/eve/meaning.py | meaning.py | py | 749 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 19,
"usage_type": "call"
}
] |
11460371440 | import pandas as pd
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from webdriver_manager.chrome import ChromeDriverManager
from selenium.common.exceptions import NoSuchElementException
from selenium.common.exceptions import StaleElementReferenceException
from selenium.webdriver.... | LuisOlCo/Web-Crawling | depression_users_v2/User.py | User.py | py | 10,495 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "selenium.common.exceptions.NoSuchElementException",
"line_number": 86,
"usage_type": "name"
},
{
"api_name": "selenium.common.exceptions.StaleElementReferenceException",
"line_number": 86,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.support.ui.WebDriv... |
28082271483 | import tempfile
import unittest
import yaml
import config_helper
import print_config
class PrintConfigTest(unittest.TestCase):
def test_load_yaml_file(self):
schema = config_helper.Schema.load_yaml(
"""
properties:
propertyInt:
type: int
propertyString:
... | cliveseldon/marketplace-k8s-app-tools | marketplace/deployer_util/print_config_test.py | print_config_test.py | py | 2,861 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "unittest.TestCase",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "config_helper.Schema.load_yaml",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "config_helper.Schema",
"line_number": 12,
"usage_type": "attribute"
},
{
"a... |
21736252235 | import argparse
import sys
from sudoku import Sudoku
from ac3 import AC3
from backtrack import recursive_backtrack_algorithm
from utils import fetch_sudokus, print_grid
"""
default sudokus' grid
"""
sudokus = dict(
easy = "000079065000003002005060093340050106000000000608020059950010600700600000820390000",
medi... | stressGC/Python-AC3-Backtracking-CSP-Sudoku-Solver | solver.py | solver.py | py | 3,328 | python | en | code | 10 | github-code | 18 | [
{
"api_name": "utils.print_grid",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sudoku.Sudoku",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "ac3.AC3",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "sudoku.isFinished",
"line_... |
27243489059 | from cProfile import label
import sys,os
sys.path.append(os.path.join(os.getcwd(), '.'))
import aditofpython.aditofpython as tof
import numpy as np
import cv2 as cv
from enum import Enum
import matplotlib.pyplot as plt
import time
from time import perf_counter
from scipy.interpolate import make_inte... | jhndan/Acuesta-Bautista_Internship_2022 | tof/fps_times_sample.py | fps_times_sample.py | py | 9,360 | python | en | code | 0 | github-code | 18 | [
{
"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": ... |
3953286214 | from collections.abc import Iterator
import contextlib
import os
import random
import re
import numpy as np
from tensorflow.core.framework import types_pb2
from tensorflow.core.protobuf import config_pb2
from tensorflow.core.protobuf import rewriter_config_pb2
from tensorflow.python.client import session
from tensorf... | tensorflow/tensorflow | tensorflow/compiler/tests/xla_test.py | xla_test.py | py | 12,820 | python | en | code | 178,918 | github-code | 18 | [
{
"api_name": "tensorflow.python.platform.flags.FLAGS",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.python.platform.flags",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "tensorflow.python.platform.flags.DEFINE_string",
"line_number": ... |
16623813081 | # coding: utf-8
# Standard Python libraries
import io
from typing import Optional, Tuple, Union
# https://github.com/usnistgov/DataModelDict
from DataModelDict import DataModelDict as DM
# https://github.com/usnistgov/yabadaba
from yabadaba.record import Record
class Link(Record):
"""
Class for describing we... | usnistgov/potentials | potentials/record/Link.py | Link.py | py | 5,405 | python | en | code | 9 | github-code | 18 | [
{
"api_name": "yabadaba.record.Record",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "io.IOBase",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "DataModelDict.Data... |
32070621599 | from __future__ import annotations
__all__ = [
"check_jax",
"check_numpy",
"check_pandas",
"check_polars",
"check_torch",
"check_xarray",
"is_jax_available",
"is_numpy_available",
"is_pandas_available",
"is_polars_available",
"is_torch_available",
"is_xarray_available",
... | durandtibo/coola | src/coola/utils/imports.py | imports.py | py | 4,320 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "importlib.util.find_spec",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "importlib.util.find_spec",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "importlib.util.find_spec",
"line_number": 78,
"usage_type": "call"
},
{
"api_na... |
14623814221 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed... | vigossjjj/python-client | test/functional/android/appium_tests.py | appium_tests.py | py | 5,393 | python | en | code | null | github-code | 18 | [
{
"api_name": "unittest.TestCase",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "desired_capabilities.get_desired_capabilities",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "appium.webdriver.Remote",
"line_number": 30,
"usage_type": "call"
... |
31127585439 | # The goal of this script is to get all the stats from the sensors to:
# - print to the epaper screen
# - print to plant_stats.csv - you can then use a spreadsheet of choice and draw cool graphs from it.
# - Drive the different microcontrolers to control inside climate: turn on/off fans, heat mat (not done), and water ... | user0610/bluebucketpi | print_status_epaper.py | print_status_epaper.py | py | 3,431 | python | en | code | 8 | github-code | 18 | [
{
"api_name": "datetime.datetime.now",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "water.get_status",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "water.g... |
40203874089 | import sys
import argparse
from taggers import stub
from taggers import corenlp
from taggers import nltkchunker
from taggers import spacy
# Download from https://nlp.stanford.edu/software/CRF-NER.html#Download
CORENLP_DIR = '../../stanford-ner-2018-02-27'
def make_tagger(name):
if name == 'stub':
return ... | gasani/undergraduate-practice | ner/main.py | main.py | py | 1,074 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "taggers.stub.StubNer",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "taggers.stub",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "taggers.corenlp.StanfordNer",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "taggers... |
12667950195 | from urllib.parse import parse_qs
from html import escape
import db
import http_wsgi as hw
import os
from string import Template
from hashlib import md5
TEMPLATE_DIR = os.path.join(os.path.dirname(__file__), 'templates')
def render(template_name):
template_path = os.path.join(TEMPLATE_DIR, template_name)
mas... | PashaLisovchenko/wsgi-url-shorted | mywsgi.py | mywsgi.py | py | 2,192 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_numbe... |
15208993959 | from args import parse_config
from utils import *
from sklearn.model_selection import train_test_split
import pandas as pd
import numpy as np
import torch
from VAE_trainer import VAE_trainer
from AE_trainer import AE_trainer
from BFM_trainer import BFM_trainer
from RBSVD_trainer import RBSVD_trainer
from Iter... | xiyichen/collaborative-filtering | main.py | main.py | py | 2,547 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "args.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "AE_trainer.AE_trainer",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "VAE_trainer.VAE_trainer",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "BFM_trainer.BF... |
34617373550 | # -*- coding: utf-8 -*-
from requests_oauthlib import OAuth1Session
import json
import datetime, time, sys, calendar
import os
import codecs
import csv
import urllib.parse
import pandas as pd
from abc import ABCMeta, abstractmethod
from sub.concat_csv import CSV_CONCAT
from sub.shaping_for_fasttext import SHAPING_FOR_F... | iwatashuho/twitter_categorized | learn_fasttext/get_tweet.py | get_tweet.py | py | 13,676 | python | ja | code | 0 | github-code | 18 | [
{
"api_name": "os.path.dirname",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.normpath",
"... |
71322718441 | import numpy as np, pandas as pd, seaborn as sns, dataframe.datagrid as dg
import os
from sklearn.cluster import KMeans
import scipy.cluster.hierarchy as sch
from scipy.spatial.distance import squareform
from sklearn.utils.testing import all_estimators
from sklearn.preprocessing import LabelBinarizer, StandardScaler, M... | clintg105/Catfish-Ultrasound-Classification | DimensionReduction/Python/feature_selection/feature_explore.py | feature_explore.py | py | 10,650 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "pandas.DataFrame",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "seaborn.heatmap",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.show",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "matplotl... |
71891864680 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Sep 13 08:59:42 2019
@author: Rajiv Sambasivan
"""
from math import ceil
import numpy as np
import pandas as pd
import torch
from sklearn.preprocessing import StandardScaler
from torch.utils import data
class CH_Dataset(data.Dataset):
"Characteri... | arangoml/arangopipe | arangopipe/tests/pytorch/ch_data_loader.py | ch_data_loader.py | py | 2,083 | python | en | code | 121 | github-code | 18 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "torch.utils.data",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.... |
15404619000 | import pygame
from sys import exit
pygame.init()
screen = pygame.display.set_mode((800, 400))
pygame.display.set_caption("Platformer Game")
clock = pygame.time.Clock()
bg = pygame.Surface((800, 400))
ground = pygame.Surface((800, 200))
font = pygame.font.Font('font/nova.ttf', 30)
enemy = pygame.Surface((50, 50))
playe... | X0AM/platformer-game | main.py | main.py | py | 1,225 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pygame.init",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.s... |
34755843993 | from collections import deque
nums = list(map(int, input().split(",")))
nums_list = list(enumerate(nums))
# 队列的使用
queue = deque()
for num in nums_list:
queue.append((num[0], num[1]))
ans, count = list(), 0
while True:
if len(queue) <= 1:
break
task = queue.popleft()
cur_max = max(queue, key=l... | haunglai/odpython | 11/Python 实现【打印任务排序】/Python 实现【打印任务排序】.py | Python 实现【打印任务排序】.py | py | 576 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.deque",
"line_number": 7,
"usage_type": "call"
}
] |
5254969239 | import numpy as np
import os
import sys
import re
import json
from scipy.spatial.transform import Rotation as R
import shutil
import struct
#################################
# General Helper Functions #
#################################
def rotate_positions_around_z(positions):
"""
Given a list of coor... | kmshin1397/ETSimulations | src/processors/artiatomi_processor.py | artiatomi_processor.py | py | 35,469 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "scipy.spatial.transform.Rotation.from_euler",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "scipy.spatial.transform.Rotation",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "numpy.dot",
"line_number": 30,
"usage_type": "call"
},
{... |
12532129308 | import click
import os
import torch
import torch.cuda
from torch.nn import functional as F
from torch.optim import Adam
from torch.utils.data import DataLoader
from util.dataset import DADataset, load_source_target_datasets
from util.io import get_config, save_model
from util.net import LenetClassifier, weights_init
f... | naoto0804/pytorch-domain-adaptation | train_classifier.py | train_classifier.py | py | 2,893 | python | en | code | 24 | github-code | 18 | [
{
"api_name": "torch.backends",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "util.io.get_config",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.makedirs",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "torch.device",
... |
30139053482 | from django.shortcuts import render, redirect
import asyncio
import telethon
# from telethon import TelegramClient, events, sync
from telethon.tl.functions.channels import JoinChannelRequest
# from telegram.client import Telegram
import socks
# Create your views here.
api_id = 111111
api_hash = 'apifromtelegram'
# l... | Begzi/Telegram | connection/views.py | views.py | py | 9,422 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "asyncio.new_event_loop",
"line_number": 154,
"usage_type": "call"
},
{
"api_name": "asyncio.set_event_loop",
"line_number": 155,
"usage_type": "call"
},
{
"api_name": "telethon.TelegramClient",
"line_number": 156,
"usage_type": "call"
},
{
"api_name... |
14317549481 | #!/usr/bin/env python
import sys
from os import remove, path
import shutil
from setuptools import setup
from distutils.command.clean import clean
from distutils.extension import Extension
# if cythonize is not used - need to use Cython's build_ext
# so it autogenerates the C++ code before compiling
# look into cython... | sandhujasmine/CythonExample | setup.py | setup.py | py | 3,086 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "os.path.dirname",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,... |
33596569829 | from django.db import models
from django.utils.translation import ugettext_lazy as _
from django.template.loader import render_to_string
from django.core.exceptions import ValidationError
from django.conf import settings
from cms.models import CMSPlugin
from geopy.geocoders import Here
def get_geolocation(street: s... | creimers/cmsplugin_multipinmap | cmsplugin_multipinmap/models.py | models.py | py | 4,855 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "geopy.geocoders.Here",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.conf.settings.HERE_APP_ID",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 13,
"usage_type": "name"
},
{
"a... |
1084793879 | import pandas as pd
from matplotlib import pyplot
from statsmodels.tsa.arima.model import ARIMA
from sklearn.metrics import mean_squared_error
import warnings
warnings.simplefilter('ignore', category=UserWarning)
dataset = "Paleo"
series = pd.read_csv(f'{dataset}.csv', header=0, index_col=0, parse_dates=Tr... | hej6853/Nutrition-Project | ARIMA_WIP (1).py | ARIMA_WIP (1).py | py | 945 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "warnings.simplefilter",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "statsmodels.tsa.arima.model.ARIMA",
"line_number": 15,
"usage_type": "call"
},
{
"api_name":... |
31191822814 | """
KaznetContentType Serializer
"""
from django.contrib.contenttypes.models import ContentType
from rest_framework import serializers
class KaznetContentTypeSerializer(serializers.ModelSerializer):
"""
Class for KaznetContentTypeSerializer
"""
# pylint: disable=too-few-public-methods
class Meta... | onaio/kaznet-web | kaznet/apps/main/serializers/contenttype.py | contenttype.py | py | 520 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.contrib.contenttypes.models.ContentType",
"line_number": 19,
... |
12262020951 | import requests
from bs4 import BeautifulSoup
import re
url = "https://butterfly-conservation.org/uk-butterflies/a-to-z"
r = requests.get("https://butterfly-conservation.org/uk-butterflies/a-to-z", verify=False)
soup = BeautifulSoup(r.text, features="html.parser")
links = soup.find_all("a")
# for link in links:
... | jho97/data_analyst_week_5 | june_13/personal_work/lab.py | lab.py | py | 1,467 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"li... |
74220366440 | # -*- coding: utf-8 -*-
__author__ = 'alan'
__date__ = '18-3-25 上午10:11'
from . import home
from flask import render_template, url_for, redirect, flash, request, session
from app.home.forms import RegisterForm, LoginForm, UserForm, PwdForm, CommentForm
from app.models import User, UserLog, Comment, Movie, Preview, Tag,... | getting/flask_online_video | app/home/views.py | views.py | py | 11,438 | python | en | code | 16 | github-code | 18 | [
{
"api_name": "os.path.dirname",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetime.datetime"... |
75253802920 | #!/usr/bin/env python3
import random
import cv2
import model
import numpy as np
import warnings
import os
import glob
warnings.filterwarnings("ignore")
# Disable futile warnings
os.environ.setdefault('TF_CPP_MIN_LOG_LEVEL', '2')
BASE_PATH = '/content/gdrive/My Drive/Colab Notebooks/cars_detector/'
WEIGHT_PATH = BASE_... | joaovperin/Feevale | Topicos_Avancados_Computacao-IA/cars_detector_yololo/workspace/run.py | run.py | py | 7,940 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.environ.setdefault",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.path.... |
29770120058 | # -*- coding: utf-8 -*-
"""
Created on Fri Oct 22 09:55:12 2021
@author: Stefan Salbrechter
"""
import os
import pandas as pd
import regex as re
import numpy as np
import multiprocessing
import argparse
from datetime import datetime
from pathlib import Path
from gensim.models import Phrases
from gensi... | StefanX007X/Paper-III-GUIDED-TOPIC-CLUSTERING | Textual_Factors/preprocess_data.py | preprocess_data.py | py | 13,250 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pathlib.Path",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"l... |
25580288959 | # https://onlinejudge.u-aizu.ac.jp/courses/lesson/1/ALDS1/12/ALDS1_12_C
# これに関してもAtCoderではすでにある実装が使える https://note.nkmk.me/python-scipy-shortest-path/
# じゅっぴーさんの記事 https://juppy.hatenablog.com/entry/2019/06/04/scipy%E3%81%AEFloyd-Warshall%E3%81%A8Dijkstra%E3%81%AE%E3%81%99%E3%81%99%E3%82%81_Python_%E7%AB%B6%E6%8A%80%E3... | masakiaota/kyoupuro | practice/algorithm_datastructure_for_programming_contest/309_ALDS1_12_C_AtCoder.py | 309_ALDS1_12_C_AtCoder.py | py | 1,402 | python | ja | code | 1 | github-code | 18 | [
{
"api_name": "scipy.sparse.lil_matrix",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "scipy.sparse.csgraph.dijkstra",
"line_number": 28,
"usage_type": "call"
}
] |
106812273 | ### Python script to use SNAP as InSAR processor compatible with StaMPS PSI processing
# Author Jose Manuel Delgado Blasco
# Date: 21/06/2018
# Updated: 01/06/2023
# Version: 2.0
# Step 0 : preparing secondary images in folder structure
# Step 1 : Master TOPSAR Splitting (Assembling) and Apply Orbit
# Step 2 : TOPSAR ... | mdelgadoblasco/snap2stamps | bin/topsar_step_2_splitting_secondaries.py | topsar_step_2_splitting_secondaries.py | py | 9,004 | python | en | code | 91 | github-code | 18 | [
{
"api_name": "sys.stdout.flush",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "warnings.filterwarning... |
73652448680 | from django.conf.urls import url
from .views import (AdicionarReservaView,
ListarReservasViews,
ReservasFullcalendario,
EditarReservaView,
EliminarReservasView)
urlpatterns = [
url(r'^adicionar/reserva/(?P<pk>\d+)/$', AdicionarReser... | fdzr/modulo-sala-reuniones | sala_reuniones/urls.py | urls.py | py | 756 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.conf.urls.url",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "views.AdicionarReservaView.as_view",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "views.AdicionarReservaView",
"line_number": 12,
"usage_type": "name"
},
{
... |
22987473362 | import os
from pathlib import Path
from dotenv import load_dotenv
load_dotenv(dotenv_path=Path(os.path.dirname(__file__)) / "../test-variables.env")
def _get_env_or_throw(env_name: str) -> str:
env = os.getenv(key=env_name)
if env is None:
raise ValueError(
f"{env_name} environmental var... | software-mansion/starknet.py | starknet_py/tests/e2e/fixtures/constants.py | constants.py | py | 2,299 | python | en | code | 231 | github-code | 18 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numb... |
12654024062 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import argparse
import glob
import csv
import datetime
# IN_CAMERAPOSE_FILENAME = "*_cameraPose.csv"
OUT_CAMERAPOSE_FILENAME = "pose.txt"
# IN_WIFI_FILENAME = "*_wifi.csv"
OUT_WIFI_FILENAME = "wifi.txt"
OUT_WIFI_CSV_FILENAME = "wifi_processed.csv"
if __name__ ... | iidango/tangologger | misc/convertFormat.py | convertFormat.py | py | 4,584 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_nu... |
33578530597 | from __future__ import print_function
import sys
from flask import Flask, request, Response
from py2neo import Graph
sys.path.append("..")
from store import Store
from graphnodes import GraphNode
from query import ClientQuery
import cmainit
from AssimCtypes import QUERYINSTALL_DIR
# These next two imports are actuall... | assimilation/assimilation-official | cma/flask/hello.py | hello.py | py | 3,412 | python | en | code | 49 | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "flask.Flask",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"lin... |
4451439169 | import urllib
import urllib2
import uuid
import logging
logger = logging.getLogger(__name__)
# returns something like '[{"call_id_guid": "41e9ebe2-b289-449d-b24b-86a1d14c7ba9", "status": "Pending", "api_key": "<your api key>", "valid":"true"}]'
def send_key_api_client(api_key, api_secret, phone_0, phone_1, phone_2 , ... | auth2/auth2_python_django | demo2fa/auth2api_r1.py | auth2api_r1.py | py | 2,050 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "uuid.UUID",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "uuid.UUID",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "urllib2.Request",
"line_numb... |
22575435296 | # -*- coding: utf-8 -*-
import scrapy
from ..items import ChoutiproItem
class ChoutiSpider(scrapy.Spider):
name = 'chouti'
# allowed_domains = ['www.xx.com']
start_urls = ['https://dig.chouti.com/']
def parse(self, response):
div_list=response.xpath('/html/body/main/div/div/div[1]/div/div[2]/d... | ym7/Somecodes | 爬虫/choutipro/choutipro/spiders/chouti.py | chouti.py | py | 696 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "scrapy.Spider",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "items.ChoutiproItem",
"line_number": 15,
"usage_type": "call"
}
] |
25988450803 | __all__ = ['butter_filter', 'butter_filter_frequency_response', 'apply_butter_filter', 'save_dataset', 'load_dataset',
'dataset_add_chunk_col', 'dataset_add_length_col', 'dataset_add_labels_col', 'dataset_add_mean_col',
'dataset_add_median_col', 'dataset_add_std_col', 'dataset_add_iqr_col', 'datas... | AI4HealthUOL/SSSD | docs/instructions/PTB-XL/clinical_ts/timeseries_utils.py | timeseries_utils.py | py | 37,246 | python | en | code | 183 | github-code | 18 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pathlib.WindowsPath",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "pathlib.PosixPath",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name"... |
28147369489 | import requests
from bs4 import BeautifulSoup
from pymongo import MongoClient
client = MongoClient("localhost", 27017)
db = client.dbsparta
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64)AppleWebKit/537.36 (KHTML, like Gecko) Chrome/73.0.3683.86 Safari/537.36"
}
data = requests.get(
"http... | nin187/sparta | _sandbox/crawling.py | crawling.py | py | 923 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 16,
"usage_type": "call"
}
] |
10420430815 | import os
import shutil
import argparse
def main(src_dir, dest_dir):
for filename in os.listdir(src_dir):
dest_path = os.path.join(dest_dir, filename)
if os.path.exists(dest_path):
continue
src_path = os.path.join(src_dir, filename)
if filename.lower().endswith... | abandonware-magazines/Utilities | OCR/train/copy_rtl_gt.py | copy_rtl_gt.py | py | 934 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.listdir",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number":... |
24092643810 | from flask_restplus import Resource, fields
from flask import request, after_this_request
from flask_jwt_extended import create_access_token
from datetime import timedelta
from ducttapp import models, services, helpers
from . import ns
_login_req = ns.model(
name='login_request',
model={
'username': fi... | anhducc13/flask-app | ducttapp/api/auth/login.py | login.py | py | 2,796 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask_restplus.fields.String",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask_restplus.fields",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "flask_restplus.fields.String",
"line_number": 12,
"usage_type": "call"
},
{
"a... |
38694714322 | import torch
import torch.nn.functional as F
from typing import Optional, List, Dict, Any, Union, Tuple
from rlprompt.models import BaseModel
from rlprompt.modules import BaseModule
from rlprompt.rewards import BaseReward
from rlprompt.utils import utils
device = torch.device("cuda" if torch.cuda.is_available() else ... | Shentao-YANG/Preference_Grounded_Guidance | prompt_task/rlprompt/modules/pg_reinforce_module.py | pg_reinforce_module.py | py | 5,702 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "torch.device",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.tensor",
... |
43220128054 | from flask import Flask
from backend.data import alchemy, migrate
from backend.controller import main
def create_app():
app = Flask(__name__)
app.config.from_object("config")
# Extensions
alchemy.configure(app)
migrate.configure(app)
# Blueprints
main.configure(app)
return app
| andradenatalie/CelticRegister | backend/__init__.py | __init__.py | py | 315 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "backend.data.alchemy.configure",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "backend.data.alchemy",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "backen... |
16204065315 | from fastapi import Request, Body
from tortoise import Tortoise
from app.hooks.error_hook import register_exception_handler
from app.hooks.request_hook import register_request_hook
from app.hooks.app_hook import register_app_hook
from app.system.forms.job import GetJobForm
from app.baseView import FastAPI
from app.sys... | zhongyehai/test-platform-fastapi-api | job.py | job.py | py | 2,040 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "app.baseView.FastAPI",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "app.hooks.app_hook.register_app_hook",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "app.hooks.request_hook.register_request_hook",
"line_number": 24,
"usage_type":... |
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