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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
44878125364 | import argparse
import dataloader
from model import IEMSAModel
import torch
import torch.nn as nn
import torch.optim as optim
import datetime
from tensorboardX import SummaryWriter
from recorder import Recorder
def epoch(epoch_idx, is_train):
model.train() if is_train else model.eval()
loader = train_loader i... | Lyusungwon/StoryEndGen-pytorch | trainer.py | trainer.py | py | 3,248 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "model.train",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "model.eval",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "recorder.epoch_start",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "recorder.batch_end",
... |
16816349287 | from typing import Optional
import discord
from discord import app_commands
from ns_bot.controllers.base_nationstate_controller import BaseNationstateController
from ns_bot.data.shards import (
SPECIAL_WORLD_ASSEMBLY_SHARDS,
VALID_WORLD_ASSEMBLY_SHARDS,
)
from ns_bot.formatting.world_assembly_info import Form... | fsu-fall2022-capstone/Project-Group-5 | ns_bot/controllers/world_assembly_controller.py | world_assembly_controller.py | py | 1,081 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "ns_bot.controllers.base_nationstate_controller.BaseNationstateController",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "discord.Interaction",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "ns_bot.data.shards.VALID_WORLD_ASSEMBLY_SHARDS"... |
41689558069 | from PIL import Image, ImageDraw
imagen = Image.open('gatito.jpg')
rojos = [0 for _ in range(256)]
verdes = [0 for _ in range(256)]
azules = [0 for _ in range(256)]
for r, g, b in imagen.getdata():
rojos[r] += 1
verdes[g] += 1
azules[b] += 1
def generar_histograma(conteos, nombre_archivo):
lienzo =... | IchiSieben/PythonGroup_10 | clase03/histograma.py | histograma.py | py | 734 | python | es | code | 0 | github-code | 97 | [
{
"api_name": "PIL.Image.open",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "PIL.Image.new",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 1... |
8875229959 | import streamlit as st
from helpers import set_bg_hack_url
def set_background_widget(background_url):
set_bg_hack_url(background_url)
def sidebar_widget():
st.sidebar.title("Options")
input_media = st.sidebar.radio(label="Search with...", options=["text", "image"])
st.sidebar.markdown(
"""T... | m8e/jina-clip-streamlit | frontend/widgets.py | widgets.py | py | 723 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "helpers.set_bg_hack_url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "streamlit.sidebar.title",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "streamlit.sidebar",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "s... |
33552170884 | from flask import Flask, render_template, request
import chatbot as mymodule
app = Flask(__name__)
# app.static_folder='static'
@app.route('/')
def home():
return render_template('index.html')
@app.route('/get')
def get_bot_response():
userAnswer = request.args.get('msg')
chat = mymodule.ChatBot(userA... | adrian97gl/Research1 | chatbot/site_for_chatbot.py | site_for_chatbot.py | py | 431 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "flask.request... |
36455641166 | #!/usr/bin/env python3
import sys
import csv
import json
from termcolor import colored
# First clean csv, we can then re-use the csvToJSON script for all datasets.
source_url = "https://www.oscr.org.uk/about-charities/search-the-register/charity-register-download"
source_date = "2019"
# some of these are aliasses ... | juliuszelf/global-charity-search-engine | scripts/scotland/cleanCSV_parser.py | cleanCSV_parser.py | py | 9,004 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "csv.DictWriter",
"line_number": 245,
"usage_type": "call"
},
{
"api_name": "csv.QUOTE_MINIMAL",
"line_number": 249,
"usage_type": "attribute"
},
{
"api_name": "csv.DictReader",
"line_number": 257,
"usage_type": "call"
},
{
"api_name": "termcolor.col... |
32437305766 | # -*- coding: utf-8 -*-
'''Un 'acortador de URLs pero que permite:
* Editar adonde apunta el atajo más tarde
* Definir tests para saber si el atajo es válido
'''
# Usamos storm para almacenar los datos
from storm.locals import *
# Usamos bottle para hacer el sitio
from bottle import route, run, request, response, ... | ralsina/python-no-muerde | pyurl/pyurl.py | pyurl.py | py | 2,709 | python | es | code | 2 | github-code | 97 | [
{
"api_name": "string.letters",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "string.digits",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "bottle.send_file",
"line_number": 94,
"usage_type": "call"
},
{
"api_name": "bottle.route",
"lin... |
34173724977 | import simplejson as json
from flask import Blueprint, request, jsonify
from sqlalchemy import func
import config
# Import models
from app.models import (
User,
Lot,
Tweet,
db
)
# Define the blueprint: 'users', set its url prefix: app.url/users
user_mod = Blueprint('users', __name__, url_prefix='/use... | maquigu/twitter-filter | app/controllers/user.py | user.py | py | 997 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "flask.Blueprint",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "flask.... |
29367335227 | import bisect
import itertools
import math
from typing import TypeVar
import warnings
import numpy as np
import pandas as pd
from scipy import stats
import plotly.graph_objects as go
from plotly.subplots import make_subplots
import plotly.io as pio
from spinorama import logger
from spinorama.constant_paths import MI... | pierreaubert/spinorama | src/spinorama/plot.py | plot.py | py | 29,646 | python | en | code | 72 | github-code | 97 | [
{
"api_name": "plotly.io.templates",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "plotly.io",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "math.log10",
"line_number": 174,
"usage_type": "call"
},
{
"api_name": "plotly.graph_objects.S... |
21758056877 | from os import F_OK, access
# relax module imports.
import prompt.interpreter
from lib.errors import RelaxError
from lib.io import get_file_path
from status import Status; status = Status()
def script(file=None, dir=None):
"""Function for executing a script file.
@keyword file: The name of the script to ex... | nmr-relax/relax | pipe_control/script.py | script.py | py | 1,463 | python | en | code | 10 | github-code | 97 | [
{
"api_name": "status.Status",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "lib.io.get_file_path",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.access",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.F_OK",
"line_numbe... |
23738889479 | import subprocess
from pymongo import MongoClient
import json
client = MongoClient('mongodb://localhost:27017')
db_blocks = client.test001.blocks
db_txes = client.test001.txes
last_db_height = 0
blockcount = int(subprocess.check_output('/root/bin/monkey-cli_p01.sh getblockcount', shell=True, universal_newlines=True)... | OkiOki-Nunc/MonkBlockchainExplorer | update_database.py | update_database.py | py | 1,717 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "subprocess.check_output",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "subprocess.check_output",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "su... |
7606354268 | from django.contrib.auth import get_user_model
from django.core.validators import MaxValueValidator, MinValueValidator
from django.db import models
from .validators import validate_actual_year
User = get_user_model()
class CategoryGenreBase(models.Model):
"""Абстрактная модель для Category and Genre."""
nam... | Alekcandro/yamdb_final | api_yamdb/reviews/models.py | models.py | py | 4,439 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.db.models.Model",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 10,
"usage_type": "name"
},
{
"ap... |
2028270740 | from authlib.integrations.flask_oauth2 import (
ResourceProtector,
current_token,
)
from origin.db import inject_session
from origin.http import Unauthorized
from .models import User
from .queries import UserQuery
from .token import TokenValidator
require_oauth = ResourceProtector()
require_oauth.register_t... | project-origin/account-service | src/origin/auth/decorators.py | decorators.py | py | 1,265 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "authlib.integrations.flask_oauth2.ResourceProtector",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "token.TokenValidator",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "authlib.integrations.flask_oauth2.current_token",
"line_number": 26,... |
17086409146 | from commonfunctions import *
from pre_processing import *
from connected_componentes import *
from staff import calculate_thickness_spacing, remove_staff_lines, coordinator
from segmenter import Segmenter
from fit import predict
from glob import glob
import cv2
import pickle
from scipy.ndimage import binary_fill_holes... | aashrafh/Mozart | src/main.py | main.py | py | 9,395 | python | en | code | 514 | github-code | 97 | [
{
"api_name": "fit.predict",
"line_number": 120,
"usage_type": "call"
},
{
"api_name": "scipy.ndimage.binary_fill_holes",
"line_number": 151,
"usage_type": "call"
},
{
"api_name": "skimage.morphology.thin",
"line_number": 186,
"usage_type": "call"
},
{
"api_name":... |
22033954072 | import pytest
import reconcile.aws_ami_share as integ
@pytest.fixture
def accounts():
return [
{
"name": "some-account",
"automationToken": {
"path": "path",
},
"resourcesDefaultRegion": "default-region",
"sharing": [
... | app-sre/qontract-reconcile | reconcile/test/test_aws_ami_share.py | test_aws_ami_share.py | py | 1,981 | python | en | code | 25 | github-code | 97 | [
{
"api_name": "pytest.fixture",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "reconcile.aws_ami_share.filter_accounts",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "reconcile.aws_ami_share",
"line_number": 43,
"usage_type": "name"
},
{
... |
1257760589 | import cv2
import numpy as np
# Load two images
PATH_TO_IMAGE1 = '../../resources/opencv_logo.png'
PATH_TO_IMAGE2 = '../../resources/mainlogo.png'
image1 = cv2.imread(PATH_TO_IMAGE1)
image2 = cv2.imread(PATH_TO_IMAGE2)
# I want to put logo on top-left corner, So I create a ROI
rows, cols, channels = image2.shape
roi... | DenisLaptev/opencv_docs | app/src/Ch3_core_operations/lesson6_bitwise_operations.py | lesson6_bitwise_operations.py | py | 940 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "cv2.imread",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_numbe... |
25886547859 | from django.contrib.auth.models import Group
from rest_framework import serializers
from rest_framework_guardian.serializers import ObjectPermissionsAssignmentMixin
from apps.organisations.models import Organisation
from apps.cases.models import Partnership
from apps.categories.serializer import CategorySerializer
c... | joyannayoo/cmcnexus | backend/apps/organisations/serializer.py | serializer.py | py | 1,529 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "apps.cases.models.Partnership",
"line_number": 13,
"usage_type... |
40885664982 | from scipy.special import comb
import pickle
def sqMul(a,b):
temp = []
for i in a:
for j in range(len(b)):
temp.append(b[j] +i)
if len(a) != 0 and len(b) != 0:
return temp
else:
return []
def SrSq(i, W):
sq = []
if len(W) == 1: #end for recursion
j = W[0]
for t in range(i+1):
temp = comb(j-i+... | 5183nischal/Wu-classes-and-Steenrod-Algebra-Computational-Toolkit | wuclass.py | wuclass.py | py | 2,178 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "scipy.special.comb",
"line_number": 21,
"usage_type": "call"
}
] |
14587490692 | # -*- coding: utf-8 -*-
"""
FileName: olyUndae_gypsum_bassanite.py
Author Name: Arun M Saranathan
Description: This code file contains the code to map the subtle differences between gypsum and bassanite
in the CRISM images in olympia undae
Date Created: ... | arunsaranath/crism_openset_mapping | ancilliary_processing/olyUndae_gypsum_bassanite.py | olyUndae_gypsum_bassanite.py | py | 9,905 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "math.degrees",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "math.atan2",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "spectral_utilities.spectral_utilities.spectral_utilities",
"line_number": 30,
"usage_type": "call"
},
{
"... |
28891111077 | import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import pickle
import csv
import torch
import evaluate
from transformers import Trainer, TrainingArguments, EarlyStoppingCallback, AutoTokenizer, AutoModelForSequenceClassification, DataCollatorWithPadding, pipeline
from collections import Counter, d... | SaahilSingh25/NIST_Research | MELD_Scripts/MELD_BERT.py | MELD_BERT.py | py | 6,433 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pandas.read_csv",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.argmax",
... |
16041260842 | # This program is written in Python3
from gpiozero import MCP3008
from time import sleep
# Maximum input voltage = 3.3V
V0 = 3.3
while True:
input0 = MCP3008(channel=0)
input1 = MCP3008(channel=1)
input2 = MCP3008(channel=2)
voltage0 = V0 * input0.value
voltage1 = V0 * input1.value
voltage2 = V0 * input2.valu... | aegis-katoh/IoT | Analog/MMA7361.py | MMA7361.py | py | 406 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "gpiozero.MCP3008",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "gpiozero.MCP3008",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "gpiozero.MCP3008",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"... |
40522243285 | import gspread
from gspread import Spreadsheet
from gspread import utils
from gspread_dataframe import set_with_dataframe
from datetime import datetime as dt
from pandas import DataFrame
sheet_key = '1N-4B26kQSS3eUcwp_Kw3Ues0KUj_tYX4EQahGSdbtCA' # class roster dev sheet
# authorize, and open a google spreadsheet
gc ... | isaac-ptsd/class_roster_collection | main.py | main.py | py | 9,226 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "gspread.oauth",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "gspread.Spreadsheet",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "gspread.Spreadsheet",
"line_number": 71,
"usage_type": "name"
},
{
"api_name": "gspread.utils.r... |
17349690212 | import pandas as pd
import datetime
from scripts.utils.wrappers import TestApp
from scripts.utils.divergence import calc_rsi,check_divergence
if __name__=='__main__':
app = TestApp('d',file='../symbols.txt')
app.connect("127.0.0.1", 7496, clientId=123)
app.run()
df = pd.DataFrame(app.data, c... | sumangit4u/algotrading | scripts/main.py | main.py | py | 902 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "scripts.utils.wrappers.TestApp",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "scr... |
29248646967 | import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
print(tf.__version__)
from tensorflow.examples.tutorials.mnist.input_data import read_data_sets
ds = read_data_sets("MNIST_data")
train = ds.train
xs, ys = train.next_batch(2)
print(ys)
ax1 = plt.subplot(121)
ax1.set_title(f"{ys[0]}")
plt.imsh... | LittleSheepy/MyMLStudy | ml06pyPackeg/pk14Tensorflow/Tensorflow练习/MNIST练习/next_batch.py | next_batch.py | py | 454 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "tensorflow.__version__",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.examples.tutorials.mnist.input_data.read_data_sets",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplot",
"line_number": 12,
"u... |
7802479403 | from flask import Flask, render_template, request
import csv
app = Flask(__name__)
@app.route("/contacts/")
def contacts():
context = {"Имя":[], "Статус":[], "Номер":[]}
with open('main_base.csv', 'r') as csvfile:
text = csv.reader(csvfile, delimiter=';')
for row in text:
context["... | Michail-Luck/Flask_simple | main.py | main.py | py | 1,583 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
... |
13723919952 | import numpy as np
from sklearn.metrics import v_measure_score
import tensorflow as tf
import tensorflow_graphics.geometry.transformation as tfg_transformation
def multibody_sfm(points, K, O, iters=3000, verbose=False, init_p=None):
"""Compute 3D structure over multiple frames
M = number of frames
N = num... | colin-r-schultz/CS231A-Project | continuous_sfm.py | continuous_sfm.py | py | 4,087 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "tensorflow.Variable",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.random.randn",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.f... |
21090969152 | '''
Author: Zhou Hao
Date: 2021-03-11 16:06:26
LastEditors: Zhou Hao
LastEditTime: 2021-03-11 16:14:46
Description: file content
E-mail: 2294776770@qq.com
'''
#
# @lc app=leetcode.cn id=1128 lang=python3
#
# [1128] 等价多米诺骨牌对的数量
#
# @lc code=start
class Solution:
#可以通过翻转得到另一张，就把大的当十位小的当个位，找相同
def numEquivDo... | adsl305480885/leetcode-zhou | 1128.等价多米诺骨牌对的数量.py | 1128.等价多米诺骨牌对的数量.py | py | 824 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "collections.Counter",
"line_number": 26,
"usage_type": "call"
}
] |
25860263835 | # --------------------------------------------------------------------------
# User configuration settings.
# --------------------------------------------------------------------------
import datetime
# Assign a template-loading callable here to enable the {% include %}
# and {% extends %} tags. The callable should ... | pixelneo/vim-python-docstring | python/ibis/config.py | config.py | py | 868 | python | en | code | 42 | github-code | 97 | [
{
"api_name": "datetime.datetime",
"line_number": 31,
"usage_type": "attribute"
}
] |
44795816746 | #!/usr/bin/python
#coding:utf-8
import urllib2
from __builtin__ import float
from bs4 import BeautifulSoup
import re
import pymysql
import time
import random
import sys
import utilities
hds=[{'User-Agent':'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US; rv:1.9.1.6) Gecko/20091201 Firefox/3.5.6'},\
{'User-Agent':... | hsssgddtc/SHREPA | Old_Python_Code/Lianjia_Collection_2017.py | Lianjia_Collection_2017.py | py | 11,019 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pymysql.connect",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "urllib2.Request",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "urllib2.urlopen",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "urllib2.HTTPError",
... |
39700079801 | from flask import Flask, render_template, redirect, request
from petssqlconnect import connectToMySQL
app = Flask(__name__)
@app.route("/")
def pet_index():
mysql = connectToMySQL('pets')
pets = mysql.query_db('SELECT * from pets;')
print(pets)
return render_template("petsindex.html", all_pets = p... | codingdojotulsajanuary2019/michael_s | python_stack/flask/flask_mysql/pets/server.py | server.py | py | 758 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "petssqlconnect.connectToMySQL",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "petssq... |
14225061609 | #!/usr/bin/env python
import sys
py_v = sys.version_info[:2]
if not (py_v == (2, 7) or py_v >= (3, 3)):
sys.exit('Only Python 2.7 or 3.3 and up are supported. Current version: ' + '.'.join(py_v))
package_name = 'clearup'
from ngs_utils import setup_utils
version = setup_utils.init(package_name, package_name, __... | vladsavelyev/ClearUp | setup.py | setup.py | py | 2,039 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sys.version_info",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "ngs_utils.setup_utils.init",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "ngs_utils.set... |
18556566861 | from appium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from uiautomator import device as d
from time import sleep
import re
class Action():
def __init__(self):
# 初... | mu101mu/HelloWorld | douyinapp/douyintest/douyintest4.py | douyintest4.py | py | 9,947 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "appium.webdriver.Remote",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "appium.webdriver",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.support.ui.WebDriverWait",
"line_number": 28,
"usage_type": "call"
},
{
... |
1534238709 |
# coding: utf-8
# **Chapter 9 – Up and running with TensorFlow**
# _This notebook contains all the sample code and solutions to the exercises in chapter 9._
# # Setup
# First, let's make sure this notebook works well in both python 2 and 3, import a few common modules, ensure MatplotLib plots figures inline and pr... | yangpingyan/ML | handson-ml-master/09_up_and_running_with_tensorflow.py | 09_up_and_running_with_tensorflow.py | py | 42,394 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "numpy.random.seed",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "m... |
23637928436 | import torch
from VQ_DR.deezer.models import YoutubeDNN
from VQ_DR.deezer.models.layers import MLP_Layer
class YoutubeDNN_DNN(YoutubeDNN):
def __init__(self, n_items, item_embedding, user_input_dim, embedding_size, l2_reg, dropout):
super(YoutubeDNN_DNN, self).__init__(n_items, item_embedding, user_input_... | Suikasxt/torch_TDM | YoutubeDNN_DNN.py | YoutubeDNN_DNN.py | py | 1,843 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "VQ_DR.deezer.models.YoutubeDNN",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "VQ_DR.deezer.models.layers.MLP_Layer",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.concat",
"line_number": 19,
"usage_type": "call"
}
] |
11203731587 | import grpc
import service_pb2 as pb2
import service_pb2_grpc as pb2_grpc
import ast
from concurrent.futures import ThreadPoolExecutor # Import ThreadPoolExecutor from concurrent.futures
# Server Implementation
class FunctionServiceServicer(pb2_grpc.FunctionServiceServicer):
def ExecuteFunction(self, request, co... | alejandrotello7/grpc-function-as-a-service | server.py | server.py | py | 1,679 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "service_pb2_grpc.FunctionServiceServicer",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "ast.parse",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "service_pb2.FunctionResponse",
"line_number": 32,
"usage_type": "call"
},
{
... |
15005244998 | from multiprocessing.connection import wait
from emails import emails
from jokes import joke_list
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
import random
import time
#getting random joke
num = random.randint(0,59)
joke = joke_list[num]
... | MellowMouse/popbot | main.py | main.py | py | 1,165 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "random.randint",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "jokes.joke_list",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "random.randint",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "emails.emails",
"li... |
36053835917 | from fpdf import FPDF
from PIL import Image
from random import randint
import numpy, glob, os, requests
URL_initial = 'http://www.printable-sudoku-puzzles.com/samurai/unsolved.php?d='
URL_final = '&w='
def main():
def downloadSudoku(level, index):
sudokuUrl = URL_initial + str(level) + URL_final + str(index)
r =... | goelraaghav/Download-Sudoku | sudoku.py | sudoku.py | py | 1,871 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "fpdf.FPDF",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.remove",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": ... |
29833423460 | import argparse
import os
VALID_RESOURCES = frozenset(
["deployments", "statefulsets", "stacks", "cronjobs", "horizontalpodautoscalers"]
)
def check_include_resources(value):
resources = frozenset(value.split(","))
if not resources <= VALID_RESOURCES:
raise argparse.ArgumentTypeError(
... | hjacobs/kube-downscaler | kube_downscaler/cmd.py | cmd.py | py | 3,522 | python | en | code | 515 | github-code | 97 | [
{
"api_name": "argparse.ArgumentTypeError",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "os.geten... |
19084325945 | from django.test import TestCase
from api.models import Food
from api.models import Meal
from rest_framework.test import APIClient
from rest_framework import status
from django.urls import reverse
from rest_framework.test import APIRequestFactory
from api.views import FoodViews
class MealViewsTest(TestCase):
"""Tes... | lilwillifo/quantified-self-django | api/tests/test_meals.py | test_meals.py | py | 2,479 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "django.test.TestCase",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "rest_framework.test.APIClient",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "api.models.Food.objects.create",
"line_number": 15,
"usage_type": "call"
},
{
"... |
32352382498 | import os
from stat import ST_CTIME, ST_MODE, S_ISREG
import numpy as np
import cv2
from cv_bridge import CvBridge, CvBridgeError
import rospy
import time
from edgecar_msgs.msg import WheelsCmdStamped
from std_msgs.msg import Bool
from sensor_msgs.msg import CompressedImage
from scanner import Scanner
import config ... | PXLDigital/rttf-cv-dev | rttfnode.py | rttfnode.py | py | 4,021 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "rospy.get_param",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "rospy.Subscriber",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "std_msgs.msg.Bool",
"line_number": 25,
"usage_type": "argument"
},
{
"api_name": "rospy.Publishe... |
27632099616 | import csv
import os
from datetime import datetime
from collections import Counter
import itertools
import matplotlib.pyplot as plt
files = os.listdir('csv_commits')
cumulative = Counter()
for file in files:
timeseries = []
with open('csv_commits/' + file, 'r') as fd:
reader = csv.reader(fd)
... | tomaszjonak/econometry-class | commits/cumulate_timeseries.py | cumulate_timeseries.py | py | 933 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.listdir",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime"... |
7228551836 | from flask import Flask
import requests
import mongo_prod
app = Flask(__name__)
def ga_maker():
res = requests.request(method='GET', url='http://0.0.0.0:9020/ga_maker_value?delt_name=bbt2_kr_s1_ios_tz_a00&size=1000')
print(res.text)
def get_url():
out = mongo_prod.test_ga_maker()
lst = list()
f... | Sandbar/GA | Update_GA/GA3_value_update/main_request.py | main_request.py | py | 430 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "requests.request",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "mongo_prod.test_ga_maker",
"line_number": 14,
"usage_type": "call"
}
] |
40958526396 | # !/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright(c) 2019 Nippon Telegraph and Telephone Corporation
# Filename: EmRecoverUtilClusterLink.py
'''
Utility for restoration(Inter-cluster link creation)
'''
import json
import EmRecoverUtilBase
from EmCommonLog import decorater_log
class EmRecoverUti... | multi-service-fabric/element-manager | lib/SeparateDriver/RecoverUtility/EmRecoverUtilClusterLink.py | EmRecoverUtilClusterLink.py | py | 8,885 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "EmRecoverUtilBase.EmRecoverUtilBase",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "EmCommonLog.decorater_log",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "json.dumps",
"line_number": 75,
"usage_type": "call"
},
{
"api... |
11134251527 | from pandas.core.frame import DataFrame
from sklearn.neural_network import MLPRegressor
from typing import List
def train(data: DataFrame, response_vars: List[str]) -> MLPRegressor:
# split response and predictor vars
y = data[response_vars]
predictor_vars = data.columns.difference(response_vars)
X = ... | ratinac-nikola/ecs-ml-training-service | server/services/training.py | training.py | py | 449 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pandas.core.frame.DataFrame",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "sklearn.neural_network.MLPRegressor",
"line_number": 12,
"usage_type": "call"
},
{
"api_nam... |
17985157060 | import os
import sys
from io import StringIO
import discord
def main():
client = discord.Client()
@client.event
async def on_ready():
print("C++ bot is alive")
@client.event
async def on_message(message):
if message.author == client.user:
return
if message.content.startswith("!h... | standard-librarian/cpp-discord-bot | mian.py | mian.py | py | 1,392 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "discord.Client",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "io.StringIO",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_numb... |
72621675200 | import argparse
import logging
import multiprocessing
import signal
import sys
from gsuite_grant_analyzer.bigquery_helpers import (bq_create_client,
bq_create_dataset,
bq_create_table,
... | GoogleCloudPlatform/professional-services | tools/gsuite-grant-analyzer/gsuite_grant_analyzer/analyze.py | analyze.py | py | 7,833 | python | en | code | 2,602 | github-code | 97 | [
{
"api_name": "logging.basicConfig",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "multiprocess... |
12512933020 | import math
import time
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.ui import WebDriverWait
def calc(x):
return str( math.log (abs ( 12 * math.sin( x ) ) ) )
opt = webdriver.ChromeOptio... | Roman-Hnatenko/coutse_selenium | module_2_4_step_7.py | module_2_4_step_7.py | py | 945 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "math.log",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "math.sin",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver... |
39992574265 | import cv2
camera=cv2.VideoCapture(0)
width=int(camera.get(cv2.CAP_PROP_FRAME_WIDTH))#bu satırda kameramızın çerçevesinin genişliğini int biçimde aldık
height=int(camera.get(cv2.CAP_PROP_FRAME_HEIGHT))#bu satırda kameramın çerçevesinin yüksekliğini int biçimde aldık
print(width,height)
fourcc=cv2.VideoWriter_fourc... | Sametcelikk/OpenCV-Python | 24-)Python ile Görüntü İşleme- UYGULAMA - Kameradan Alınan Görüntünün Kayıt Edilmesi/27-)Kamera kayıt.py | 27-)Kamera kayıt.py | py | 1,662 | python | tr | code | 1 | github-code | 97 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.CAP_PROP_FRAME_WIDTH",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "cv2.CAP_PROP_FRAME_HEIGHT",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_na... |
40328498728 | from pathlib import Path
from torch.utils.data import Dataset
import pickle
import numpy as np
import pandas as pd
class Cholec80Helper(Dataset):
def __init__(self, hparams, data_p, dataset_split=None):
assert dataset_split != None
self.data_p = data_p
assert hparams.data_root != ""
... | tobiascz/TeCNO | datasets/cholec80.py | cholec80.py | py | 3,819 | python | en | code | 42 | github-code | 97 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.read_pickle",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.asarray... |
19436156471 | from functools import lru_cache
from typing import Dict, Union
from django.conf import settings
from django.dispatch import receiver
from django.test.signals import setting_changed
DEFAULT_CONFIG = {
"DYNAMODB_TABLENAME": "sessions",
"PARTITION_KEY_NAME": "PK",
"SORT_KEY_NAME": "SK",
"TTL_ATTRIBUTE_NA... | MissterHao/django-dysession | dysession/settings.py | settings.py | py | 1,227 | python | en | code | 7 | github-code | 97 | [
{
"api_name": "django.conf.settings",
"line_number": 40,
"usage_type": "argument"
},
{
"api_name": "functools.lru_cache",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "typing.Union... |
21073236676 | from plone.server import app_settings
from plone.server import logger
from plone.server.commands import Command
from plone.server.testing import PloneRequester
from plone.server.testing import TESTING_SETTINGS
from pprint import pformat
import asyncio
import logging
import threading
import time
def format_headers(he... | stupiddint/quiz-app | env/lib/python3.9/site-packages/plone/server/commands/cli.py | cli.py | py | 2,320 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "plone.server.commands.Command",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "plone.server.app_settings",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "plone.server.testing.TESTING_SETTINGS",
"line_number": 33,
"usage_type": "name"
... |
27489612925 | import ROOT
import uproot
import numpy as np
from array import array
fileptr = uproot.open("TT_Dilept_13.root")
outputfile = ROOT.TFile("NewRoot.root", 'recreate')
tree = ROOT.TTree("CutTree", "CutTree")
#Electron arrays
elec_pt_arr = array('f', [0.])
elec_eta_arr = array('f', [0.])
elec_phi_arr = arr... | bingledink/for-PHYS-324-for-group-B | superlongproccess.py | superlongproccess.py | py | 3,390 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "uproot.open",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "ROOT.TFile",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "ROOT.TTree",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "array.array",
"line_number": 12,
... |
17838291133 | from app.utils import catch_exceptions,download_from_s3
import os
import re
import nltk
nltk.download('wordnet')
nltk.download('stopwords')
from nltk.stem import WordNetLemmatizer
from constants import STOP_WORDS,punctuations
import json
import logging
logger = logging.getLogger(name=__name__)
class Extrac... | siva3io/Eunimart_ai_ner_predictor | app/services/ner/extract_attributes.py | extract_attributes.py | py | 5,333 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "nltk.download",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "nltk.download",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "nltk.stem.WordNetLemmatiz... |
1663183903 | # import requests
# import random
# MY_USER_AGENT = [
# "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; AcooBrowser; .NET CLR 1.1.4322; .NET CLR 2.0.50727)",
# "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.0; Acoo Browser; SLCC1; .NET CLR 2.0.50727; Media Center PC 5.0; .NET CLR 3.0.04506)",
# "... | yuanhai11/spider | Other/spider_all/政府/a.py | a.py | py | 10,848 | python | en | code | 4 | github-code | 97 | [
{
"api_name": "hashlib.sha256",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "hashlib.sha1",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "hashlib.md5",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_numb... |
40915397592 | """Storage application views."""
import json
import logging
import re
import tempfile
from datetime import datetime
from distutils.util import strtobool
from functools import lru_cache
from pathlib import Path
from typing import Dict, List, Tuple, Union
from urllib.parse import urlencode, urlparse
import pytz
from bs4... | gregorjerse/resolwe | resolwe/storage/views.py | views.py | py | 12,481 | python | en | code | null | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "rest_framework.viewsets.ViewSet",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "resolwe.storage.connectors.connectors.for_storage",
"line_number": 54,
"usage_type": "c... |
26361574879 | import logging
from odoo import fields, models
_logger = logging.getLogger(__name__)
class FamilyContactInformationUpdate(models.TransientModel):
_description = 'Family Contact Information Update'
_name = 'clv.family.contact_information_updt'
def _default_family_ids(self):
return self._context.... | CLVsol/clvsol_odoo_addons | clv_family/wizard/family_contact_information_updt.py | family_contact_information_updt.py | py | 2,276 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "odoo.models.TransientModel",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "odoo.field... |
70802247039 | import numpy as np
import heapq
import scipy.io as scio
#neighbours
num=6
def sumlist(ls):
total = 0
for ele in range(0, len(ls)):
total = total + ls[ele]
return total
def get_neibor_index(m):
max_number = heapq.nlargest(num, m)
max_index = []
for t in max_number:
index = m.i... | RingBDStack/HAWK | get_new_emb/get_newapp_embedding.py | get_newapp_embedding.py | py | 2,287 | python | en | code | 11 | github-code | 97 | [
{
"api_name": "heapq.nlargest",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number"... |
37546207515 | from __future__ import division
import logging
import pkg_resources as pkr
from voluptuous import Schema, Required, Optional, MultipleInvalid
from .plugin import AssertPlugin
from .filter import FilterPlugin
from .datasource import DataSource
class SysAssert(object):
schema = Schema({
str: {
O... | nlm/sysassert | sysassert/engine.py | engine.py | py | 7,489 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "voluptuous.Schema",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "voluptuous.Optional",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "voluptuous.Required",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.get... |
36317889036 | # -*- coding: utf-8 -*-
from aocd.models import Puzzle
import utils
def compare(first, second, debug=False):
if debug:
print(first, "vs", second)
if isinstance(second, int) and isinstance(first, int):
if first == second:
return None
return first < second
if isinstance(... | Nicolaus93/aoc22 | src/day13/part1.py | part1.py | py | 1,563 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "aocd.models.Puzzle",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "utils.timeit",
"line_number": 32,
"usage_type": "attribute"
}
] |
42473200754 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from PyQt5.QtCore import Qt
from PyQt5.QtWidgets import QDialog
from src.rightClickHelper.component.elePyWidget import ElePyWidget, watchProperty
from src.rightClickHelper.tool.effectTool import EffectTool
from src.rightClickHelper.tool.widgetTool import WidgetTool
class... | NWYLZW/right-click-helper | src/rightClickHelper/component/elePyDialog.py | elePyDialog.py | py | 978 | python | en | code | 23 | github-code | 97 | [
{
"api_name": "PyQt5.QtWidgets.QDialog",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "src.rightClickHelper.component.elePyWidget.ElePyWidget",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.Qt.gray",
"line_number": 17,
"usage_type": "a... |
2656743427 | import logging
import multiprocessing
import time
logging.basicConfig(level=logging.DEBUG, format='%(threadName)s: %(message)s')
def f(conn):
# parent_conn から child_conn に送信する
conn.send(['test'])
time.sleep(5)
# 処理の終了で close させている
conn.close()
if __name__ == '__main__':
parent_conn, child_con... | menyuu/python_lesson | lesson2/section15/section15-11.py | section15-11.py | py | 572 | python | ja | code | 0 | github-code | 97 | [
{
"api_name": "logging.basicConfig",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "time.sleep",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Pipe"... |
14667335272 | from kivy.app import App
from kivy.uix.label import Label
from kivy.clock import Clock
def read_text_and_display(filename, widget):
with open(filename, "r") as f:
text = f.read()
widget.text = text
def update_widget(dt):
with open(filename, "r") as f:
new_text = f.read... | kls028/skanerfinal | txt_read.py | txt_read.py | py | 592 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "kivy.clock.Clock.schedule_interval",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "kivy.clock.Clock",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "kivy.app.App",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "kivy... |
15231514348 | # ncat localhost 2843
import socket
import subprocess
import os
import uuid
import urllib.request
import json
import platform
class Info:
def __init__(self):
pass
def internalIP(self):
internal_ip = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
internal_ip.connect(('google.com', 0... | Kahzerx/TCP-Reverse-Shell | Reverse Shell.py | Reverse Shell.py | py | 7,007 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "socket.socket",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_DGRAM",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "urllib.reque... |
31789518826 | import json
import string
import os
law_suffix = "law"
courses_json = "./courses.json"
grade_urls = [
"/courses/grade-1/", "/courses/grade-2/",
"/courses/grade-3/", "/courses/grade-4/"
]
# grade_urls = [
# "/courses_maphd/1/"
# ]
grade_dirs = ["." + x for x in grade_urls]
def int_2_hashstring(param1):
... | NKUCS-ICU/NKUCS.ICU | init_courses.py | init_courses.py | py | 2,917 | python | en | code | 79 | github-code | 97 | [
{
"api_name": "string.ascii_letters",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "string.digits",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "os.path.join",... |
35607642923 | from .utils import UNDEFINED, is_undefined
from .cvs import vocabs
from .rules import rules
import re
import numpy as np
def _get_bounds_var_ids(dct):
return [var_id for var_id in dct["variables"] if (
var_id.startswith("bounds_") or var_id.startswith("bnds_") or
var_id.endswith("_bounds")... | cedadev/checksit | checksit/generic.py | generic.py | py | 11,082 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "utils.is_undefined",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "utils.is_undefined",
"line_number": 84,
"usage_type": "call"
},
{
"api_name": "utils.is_undefined",
"line_number": 93,
"usage_type": "call"
},
{
"api_name": "cvs.vocabs.c... |
2187322331 | import random
from datetime import datetime, timedelta
from lotteries.models import Event, Ballot
def chooseWinner(event_id):
ballots = Ballot.objects.get(id=event_id)
# choosing a random ballot
winner_ballot = random.choice(ballots)
return winner_ballot.numbers
def renewEvent():
# Get yesterday... | mertkarabuluttt/lottery-system | backend/lotteries/cron.py | cron.py | py | 962 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "lotteries.models.Ballot.objects.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "lotteries.models.Ballot.objects",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "lotteries.models.Ballot",
"line_number": 7,
"usage_type": "name"
... |
32870772321 | import asyncio
from pyrogram import Client, filters
from pyrogram.types import Message
import re
# noinspection PyUnresolvedReferences
from utils.misc import modules_help, prefix
from utils.scripts import import_library, format_exc
from subprocess import STDOUT, check_call, CalledProcessError
import os
_spotdl = im... | lrdcxdes/modules | dragon/spotidl.py | spotidl.py | py | 2,897 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "utils.scripts.import_library",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "subprocess.check_call",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.devnull",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "su... |
17524795804 | import unittest
import time
import pytest
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
class TestBasic(unittest.TestCase):
expected = 'Congratulation... | renny0gi/selenium-course | week3/lesson14_step12.py | lesson14_step12.py | py | 1,723 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "unittest.TestCase",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "s... |
4280260644 | import logging
import torch as t
from .resnet import *
import quan
def create_model(args):
logger = logging.getLogger()
model = None
if args.dataloader.dataset == 'imagenet':
if args.arch == 'resnet18':
model = resnet18(pretrained=args.pre_trained)
elif args.arch == 'resnet3... | DLwbm123/lsq-net | model/model.py | model.py | py | 1,441 | python | en | code | null | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "quan.find_modules_to_quantize",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "quan.replace_module_by_names",
"line_number": 36,
"usage_type": "call"
},
{
"api_... |
20982828461 | from PIL import Image
images =[ Image.open("mangas/omniscient-reader-s-viewpoint/capitulo-04/01.jpg"), Image.open("mangas/omniscient-reader-s-viewpoint/capitulo-04/02.jpg"), Image.open("mangas/omniscient-reader-s-viewpoint/capitulo-04/03.jpg"), Image.open("mangas/omniscient-reader-s-viewpoint/capitulo-04/04.jpg")]
x= ... | BenitoMarculanoRibeiro/webscraping_mangas | save copy.py | save copy.py | py | 983 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "PIL.Image.open",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 2,
"usage_type": "name"
},
{
"api_name": "PIL.Image.new",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 1... |
12563104287 | from flask import Flask, request, render_template
from youtube import search
from description_search import create_whoosh_index, query_on_whoosh
import json
import os
print("The variable __name__: ")
print(__name__)
# __name__ is a special variable in python
# it can either be "__main__" or the name of the script
ap... | cmclane99/youtube-description-search-Chris | flaskr/app.py | app.py | py | 2,663 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.Flask",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "flask.reques... |
32135358596 | from rest_framework.routers import DefaultRouter
from polls.views import RegUsersVS, CreateQuotes, CreateUserReaction
router = DefaultRouter()
router.register("register-users", RegUsersVS)
router.register("quotes", CreateQuotes)
router.register("reaction", CreateUserReaction)
urlpatterns = [
]
urlpatterns.extend(... | OlzhasKALIEV/django_store | polls/urls.py | urls.py | py | 334 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "polls.views.RegUsersVS",
"line_number": 7,
"usage_type": "argument"
},
{
"api_name": "polls.views.CreateQuotes",
"line_number": 8,
"usage_type": "argument"
},
... |
1749126746 | import os
os.environ["WANDB_MODE"] = "offline"
# os.environ["WANDB_DISABLED"] = "true"
import json
import math
import random
import shutil
import sys
import threading
import time
import traceback
from datetime import datetime
from pathlib import Path
import gradio as gr
import torch
import transformers
from datasets... | oobabooga/text-generation-webui | modules/training.py | training.py | py | 39,013 | python | en | code | 27,409 | github-code | 97 | [
{
"api_name": "os.environ",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "transformers.models.auto.modeling_auto.MODEL_FOR_CAUSAL_LM_MAPPING_NAMES.items",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "transformers.models.auto.modeling_auto.MODEL_FOR_CA... |
31582582428 | """Insteon base entity."""
import logging
# import string
from homeassistant.components.binary_sensor import BinarySensorEntity
from homeassistant.const import CONF_VERIFY_SSL
# from homeassistant.helpers import device_registry as dr
from homeassistant.helpers.typing import HomeAssistantType
from homeassistant.helpe... | h4de5/home-assistant-vimar | custom_components/vimar/vimar_entity.py | vimar_entity.py | py | 13,393 | python | en | code | 39 | github-code | 97 | [
{
"api_name": "homeassistant.helpers.update_coordinator.CoordinatorEntity",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "const._LOGGER",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "vimarlink.vimarlink.VimarLink",
"line_number": 25,
"usage_type":... |
73576620158 | # -*- coding: utf-8 -*-
import numpy as np
import tensorflow as tf
from tensorflow.python.ops import array_ops
from tensorflow.contrib.rnn.python.ops import core_rnn_cell
from tensorflow.python.util import nest
from tensorflow.python.ops import variable_scope as vs
from sklearn.base import BaseEstimator, Class... | jzbjyb/DSSA | dssa.py | dssa.py | py | 29,032 | python | en | code | 17 | github-code | 97 | [
{
"api_name": "tensorflow.shape",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "tensorflow.equal",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "tensorflow.range",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "tensorflow.expand_... |
9906968703 | #from __future__ import print_function
from pycocoevalcap.bleu.bleu import Bleu
from pycocoevalcap.rouge.rouge import Rouge
from pycocoevalcap.cider.cider import Cider
from pycocoevalcap.meteor.meteor import Meteor
from pycocoevalcap.spice.spice import Spice
import sys
import pickle
def score_func(ref, hypo, idx=None... | JunjieHu/ReCo-RL | src/scorer.py | scorer.py | py | 1,601 | python | en | code | 25 | github-code | 97 | [
{
"api_name": "pycocoevalcap.spice.spice.Spice",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pycocoevalcap.bleu.bleu.Bleu",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pycocoevalcap.rouge.rouge.Rouge",
"line_number": 20,
"usage_type": "call"
... |
7373459450 | from lib.components.abstract.container import Container
from lib.components.datastructs.dataset import Dataset
from lib.components.datastructs.trackout import Trackout
from lib.components.datastructs.loopkit import Loopkit
from lib.components.datastructs.loop import Track
import numpy as np
import logging
logger = logg... | daveinartehvrsh/EUTERPE | lib/components/datastructs/mixer.py | mixer.py | py | 1,537 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "lib.components.abstract.container.Container",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "lib.components.datastructs.trackout.Trackout",
"line_number": 17,
"usage_typ... |
8865637341 | # -*- coding: utf-8 -*-
import os, sys
from importlib import import_module
from django.conf import settings
from django.contrib import messages
from django.utils import timezone
from django.utils.translation import gettext, gettext_lazy as _
def ac_expand_component_layout(modeladmin, request, queryset):
"""
... | mcgaqu/dj-blog | mod_auth/layouts/actions/biz_actions.py | biz_actions.py | py | 1,498 | python | es | code | 0 | github-code | 97 | [
{
"api_name": "django.contrib.messages.SUCCESS",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.messages",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "django.utils.translation.gettext_lazy",
"line_number": 23,
"usage_type": "ca... |
13330464411 | import random
import collections
import termcolor
import pyfiglet
length = 4
random_string = [random.choice("ABCDEF") for rand_str in range(length)]
# print(*random_string)
count = collections.Counter(random_string)
def rule():
print(termcolor.colored(pyfiglet.figlet_format("MASTERMIND"), color="red"))... | MohammadAlattar/mastermind-game | MasterMind_bc.py | MasterMind_bc.py | py | 1,519 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "random.choice",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "termcolor.colored",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pyfiglet.figlet_for... |
11300625341 | """ Utility functions related to mesh processing """
import numpy as np
import vsi.utils.io_utils as io_utils
import vtk
import glob
import os.path
def write_grid_vtk(image_stack_glob, output_filename, origin=(0,0,0), vox_len=1.0):
""" write out an image stack to a VTK "Structured Points" format """
image_fnames ... | clucock1/vsi_common | python/vsi/utils/mesh_utils.py | mesh_utils.py | py | 3,589 | python | en | code | null | github-code | 97 | [
{
"api_name": "glob.glob",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "vsi.utils.io_utils.imread",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "vsi.utils.io_utils",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "vsi.utils.io_u... |
57501385 | # encoding:utf-8
import socket
import json
from utils.convert import *
def udp_receive_message(ip_addr,port):
"""使用udp连接方式循环接收数据，输入IP地址(字符串类型)和端口（数值类型）"""
ip_addr_str = str(ip_addr) # 转换成字符串类型
# 1.创建套接字
udp_socket = socket.socket(socket.AF_INET,socket.SOCK_DGRAM)
# 2.绑定本地信息
addr = (ip_addr_str,... | baozounan/Flight_visualization | flight_attitude/receive_attitude_data.py | receive_attitude_data.py | py | 1,567 | python | zh | code | 0 | github-code | 97 | [
{
"api_name": "socket.socket",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_DGRAM",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
... |
19501006950 | import requests
from bs4 import BeautifulSoup
import json
def fetch(url, params):
headers = params['headers']
body = params['body']
if params['method'] == 'GET':
return requests.get(url, headers=headers)
if params['method'] == 'POST':
return requests.post(url, headers=headers, data=body... | Gontarenok/test_task | task_2/parser.py | parser.py | py | 740 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 11,
"usage_type": "call"
}
] |
30005249818 | import urllib.request
import os
import zipfile
def download(data_path):
url = "https://bai-scieval.duiopen.com/bai-scieval.zip"
save_path = data_path + "/bai-scieval.zip"
unzip_path = data_path
if not os.path.isdir(unzip_path):
os.mkdir(unzip_path)
try:
urllib.request.urlretri... | lwk41/SCIEval-tools | pre/downloads.py | downloads.py | py | 753 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "os.path.isdir",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "urllib.request.request.urlretriev... |
34388497265 | # -*- coding: utf-8 -*-
import os
import tempfile
import resources
import relativism
from qgis.gui import *
from qgis.core import *
from PyQt4.QtGui import *
from PyQt4.QtCore import *
try:
import mapnik2 as mapnik
except ImportError:
import mapnik
# repair compatibility with mapnik2 development series
if ha... | springmeyer/quantumnik | quantumnik.py | quantumnik.py | py | 27,676 | python | en | code | 35 | github-code | 97 | [
{
"api_name": "mapnik.Envelope",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "mapnik.Box2d",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "mapnik.mapnik_version",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "imageexp... |
606355570 | import geopandas as gpd
import shapely
from cartagen4py.utils.geometry.line import extend_line_with_point
from cartagen4py.utils.network import *
def collapse_roundabouts(roads, roundabouts, crossroads=None, maximum_diameter=None):
"""
Collapse detected roundabouts below the provided diameter to a point and r... | LostInZoom/cartagen4py | cartagen4py/algorithms/network/roundabouts.py | roundabouts.py | py | 5,423 | python | en | code | 7 | github-code | 97 | [
{
"api_name": "shapely.STRtree",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "shapely.distance",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "shapely.ops.unary_union",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "shapely.ops"... |
72896892798 | import operator
import spacy
from flask import Flask
from flask import request, jsonify
app = Flask(__name__)
class TextClassificationModel(object):
def __init__(self, path_to_model):
# Load the best trained Text Classification model
self.nlp_model = spacy.load(path_to_model)
def predict(se... | TheEdoardo93/SentimentAnalysis-Rottoen-Tomatoes | scripts/use_model.py | use_model.py | py | 1,036 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "spacy.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
... |
6412553788 | from typing import List
from random import randint
import pygame
from map.map import Map
from main_object import Object
from main_object.object import TYPE_BLOCK
from tank.tank import TankBuilder
from .controller import Controller, TYPE_BOT
from tank import Tank
from blocks import WATER_BLOCK
class TankBot(Controller... | HERE-TEMPEST/MicroWorldOfTanks | controller/bot.py | bot.py | py | 2,813 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "controller.Controller",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "controller.TYPE_BOT",
"line_number": 17,
"usage_type": "argument"
},
{
"api_name": "random.randint",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "typing.L... |
16870862187 | from __future__ import annotations
from asyncio import Task, ensure_future, sleep # pylint: disable=unused-import; typing
import json
from collections import defaultdict
from datetime import datetime, timedelta
from logging import getLogger
import typing
from typing import Callable, DefaultDict, Dict, Iterator, List, ... | noyainrain/micro | micro/analytics.py | analytics.py | py | 7,184 | python | en | code | 3 | github-code | 97 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "typing.Callable",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "datetime.datetime",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "typing.Ma... |
16528390168 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
@author: Susanne Reinhardt & Rafal Kowalewski
Calculates nearest neighbor distances within datasets and between both
imaging rounds. Results are saved as csv in a subfolder called called
'AdditionalOutputs'.
For the crossNND distance between imaging rounds, the coord... | jungmannlab/resi | Origami_pipeline/PythonScripts/Functions/NND_f.py | NND_f.py | py | 6,844 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "numpy.stack",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "numpy.stack",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "numpy.stack",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "numpy.stack",
"line_number": ... |
23560372964 | from pyspark.sql import SparkSession
from pyspark import SparkContext
from pyspark.sql import SQLContext
from pyspark.sql.types import BooleanType, StructField,StructType, IntegerType, DateType, LongType, DoubleType, StringType
spark = SparkSession.builder.appName("Query1_DFAPI").getOrCreate()
fileSchema = spa... | mikegeo98/Queries | tmpqueries/query17.py | query17.py | py | 1,658 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pyspark.sql.SparkSession.builder.appName",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.SparkSession",
"line_number": 6,
"usage_type": "... |
21781720807 | import requests
from telebot import *
from telebot.types import ReplyKeyboardMarkup, KeyboardButton
import webbrowser
import json
import random
TOKEN= '6165585308:AAFqLhFGa10yIc-4S0ktm_E3_oxqO8lBtto'
bot = TeleBot(TOKEN)
keyboard = ReplyKeyboardMarkup(resize_keyboard=True)
keyboard.add(KeyboardButton('👍Годные тай... | Nmxxx/uchik | projectdoma.py | projectdoma.py | py | 1,957 | python | ru | code | 0 | github-code | 97 | [
{
"api_name": "telebot.types.ReplyKeyboardMarkup",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "telebot.types.KeyboardButton",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "telebot.types.KeyboardButton",
"line_number": 16,
"usage_type": "call"
}... |
32719322670 | import streamlit as st
import time,datetime,pytz,os,json
import pandas as pd
import altair as alt
from PIL import Image
from timeplus import *
st.set_page_config(layout="wide")
col_img, col_txt, col_link = st.columns([1,8,5])
with col_img:
image = Image.open("detailed-analysis@2x.png")
st.image(image, width=1... | timeplus-io/streamlit_apps | pages/203_💻_github_dashboard.py | 203_💻_github_dashboard.py | py | 5,966 | python | en | code | 2 | github-code | 97 | [
{
"api_name": "streamlit.set_page_config",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "streamlit.columns",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "PIL.Image",... |
38339854403 | #!/usr/bin/env python3
from typing import Iterable, List
from flask import Flask, jsonify, request, Response
from janome.analyzer import Analyzer
from janome.tokenizer import Token, Tokenizer
from janomeutils import ChunkFilter, token_to_morae
app = Flask(__name__)
tokenizer = Tokenizer(mmap=True)
analyzer = Analyzer... | szkiatsi/speechrate | webapp.py | webapp.py | py | 919 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "janome.tokenizer.Tokenizer",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "janome.analyzer.Analyzer",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "janome... |
71263657279 | import pandas as pd
import time
def smoothing_3(df):
df_copy = df.copy()
max_index = df.shape[0] - 1
for i in range(max_index-1):
mean = df.iloc[i:i+3]["quantity"].mean()
df_copy["quantity"].iloc[i+1] = mean
df_copy["quantity"].iloc[0] = df.iloc[0:2]["quantity"].mean()
df_copy["qua... | anandaman43/time_series | code/smoothing.py | smoothing.py | py | 2,524 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "time.time",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"line_nu... |
651507223 | import pandas as pd
import json
input_excel_file = "G:\Django\input_excel_file.xlsx"
df = pd.read_excel(input_excel_file)
df = df.fillna("NULL")
grouped_data = df.groupby(['Customer ID', 'age'])
output_data = []
for (customer_id, age), group in grouped_data:
customer_entry = {
"Customer ID": str(custom... | Ambarish8969/Django-Projects | Others/final_code.py | final_code.py | py | 1,475 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "pandas.read_excel",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 47,
"usage_type": "call"
}
] |
40112828020 | # -*- coding: utf-8 -*-
"""
Thanks to the author Ruhan Sa, who is the TA of IR project 3 in Fall 2015
"""
print("In Python")
import json
import sys
import urllib.request
from collections import defaultdict
count = 1
langs = {'text_de','text_ru','text_en'}
core = sys.argv[2]
model = {'DFR', 'TFIDF', 'BM25'}
countRows =... | bajoriasaurabh/CSE-535-Information-Retrieval- | Evaluation of Ir Models/json_to_trec.py | json_to_trec.py | py | 2,172 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "sys.argv",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "collections.defaultdict",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "urllib.request.pa... |
33064019226 | import os
import unittest
from decimal import Decimal
from datetime import datetime as dt
from datetime import timedelta
from functools import reduce
from singer import metadata
import tap_tester.connections as connections
import tap_tester.menagerie as menagerie
import tap_tester.runner as runner
from base im... | singer-io/tap-adroll | tests/test_adroll_reports_field_selection.py | test_adroll_reports_field_selection.py | py | 16,647 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "base.TestAdrollBase",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "test_client.TestClient",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "decimal.Decimal",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "tap_tester... |
21129842299 | from typing import Collection
from opentelemetry.instrumentation.aiopg import wrappers
from opentelemetry.instrumentation.aiopg.package import _instruments
from opentelemetry.instrumentation.aiopg.version import __version__
from opentelemetry.instrumentation.instrumentor import BaseInstrumentor
class AiopgInstrument... | open-telemetry/opentelemetry-python-contrib | instrumentation/opentelemetry-instrumentation-aiopg/src/opentelemetry/instrumentation/aiopg/__init__.py | __init__.py | py | 2,478 | python | en | code | 527 | github-code | 97 | [
{
"api_name": "opentelemetry.instrumentation.instrumentor.BaseInstrumentor",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "opentelemetry.instrumentation.aiopg.package._instruments",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "typing.Collection",
"line... |
3655978942 | from django import forms
from blogapp.models import ContactModel
from django.core.mail import send_mail
class ContactForm(forms.ModelForm):
class Meta:
model = ContactModel
fields = ('full_name','email', 'message')
def send_email(self, message):
send_mail(
subject='İletişim... | yunusemrex/Django-Blog | blogapp/forms/contact.py | contact.py | py | 510 | python | en | code | 1 | github-code | 97 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "blogapp.models.ContactModel",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "dja... |
16500680557 |
import click
import matplotlib.pyplot as plt
from matplotlib import rc
import numpy as np
import pandas as pd
rc('font',**{'family':'sans-serif','sans-serif':['Helvetica']})
# rc('text', usetex=True)
fsl = fs = 9
@click.command()
@click.argument('csv-path', type=click.File())
@click.option('--outputpath', '-o', ty... | paulboone/csmof-dac-screen | data-plots/diff-selectivities.py | diff-selectivities.py | py | 4,384 | python | en | code | 0 | github-code | 97 | [
{
"api_name": "matplotlib.rc",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "pandas.read_c... |
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