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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
39650051725 | from datetime import date
from django.core.validators import MinLengthValidator
from django.db import models
from groups.validators import validate_start_date
from teachers.models import Teacher
class Group(models.Model):
group_name = models.CharField(
max_length=100,
verbose_name='group name',
... | KulykDima/Django_lms_Kulyk | groups/models.py | models.py | py | 1,400 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.db.models.Model",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 11,
"usage_type": "call"
},
{
"api_name"... |
9938966584 | from __future__ import print_function
import os
import sys
import logging
import argparse
from importlib import import_module
from multiprocessing import freeze_support
from rdkit import Chem
from . import Calculator, __version__, descriptors
from ._base import get_descriptors_in_module
from ._util import PathType, ... | mordred-descriptor/mordred | mordred/__main__.py | __main__.py | py | 6,320 | python | en | code | 296 | github-code | 21 | [
{
"api_name": "rdkit.Chem.MolFromSmiles",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "rdkit.Chem",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "logging.warning",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.path.splitext"... |
18728482398 | #!/usr/bin/env python
import os
import sys
from datetime import datetime
import logging
from Github import GithubCommitExtractor
import argparse
import pandas as pd
from sqlalchemy import create_engine
import psycopg2
import psycopg2.extras
import os
from dotenv import load_dotenv
def filter_json_records(json_com... | ganguvamshi/commit_etl | ETL/etl.py | etl.py | py | 3,205 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "psycopg2.connect",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_n... |
73767058291 | import numpy as np
import PIL as pil
from tensorflow import keras
dir = '/kaggle/input/unibuc-brain-ad/data/data/'
np_images = []
images = []
for i in range(1, 22150):
# read the image
image = pil.Image.open(dir + str(i).zfill(6) + '.png').convert('L')
# convert the image to numpy array
np... | maria-ilinca/Artificial-Intelligence | CNN.py | CNN.py | py | 6,113 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "PIL.Image.open",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_num... |
73823319411 | import discord
from discord.ext import commands
from dotenv import load_dotenv
import os
load_dotenv()
TOKEN = os.getenv('TOKEN')
# client = discord.Client()
# @client.event
# async def on_ready():
# print('We have logged in as {0.user}'.format(client))
# @client.event
# async def on_message(message):
# if me... | Bergan404/DiscordBot | bot.py | bot.py | py | 2,868 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands.Bot",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "discord.ext.comma... |
73826571252 | import torch
import torch.nn as nn
def conv3x3(in_channels, out_channels):
return nn.Sequential(
nn.Conv2d(in_channels, out_channels, kernel_size=3, stride=1),
nn.BatchNorm2d(out_channels),
nn.ReLU()
)
class Flatten(nn.Module):
def forward(self, x):
return x.view(x.size(0),... | hnhoangdz/final_project | models/bknet.py | bknet.py | py | 2,455 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.nn.Sequential",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number... |
18719097166 | import pymysql
import copy
from ..items import MatchItem
from ..items import OuOddsItem
from ..items import YaOddsItem
from ..items import DxOddsItem
from ..items import ImmOuOddsItem
from ..items import ImmYaOddsItem
from ..items import ImmDxOddsItem
class DataPipeline(object):
def __init__(self, connect, cursor... | mansoy/MsSpider | MsSpider/data/pipelines.py | pipelines.py | py | 13,211 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "pymysql.connect",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pymysql.cursors",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "items.OuOddsItem",
"line_number": 44,
"usage_type": "argument"
},
{
"api_name": "items.YaOdd... |
22589087009 | from kafka import KafkaProducer, KafkaConsumer
from services.penalty import calc_penalty_score
import json
import os
from tinydb import TinyDB, Query, where
db = TinyDB('db.json')
def consume_messages_from_kafka():
try:
print('Starting consumer', flush=True)
consumer = KafkaConsumer(
'car_states',
... | chrisvel/fms | MSC/services/kafka.py | kafka.py | py | 1,199 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "tinydb.TinyDB",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "kafka.KafkaConsumer",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.environ",
"lin... |
8660866877 | from django.urls import re_path
from .views import *
app_name = 'dkea'
urlpatterns = [
re_path(r'^$', DkeaMain, name='main'),
re_path(r'^list/(?P<list>c\d+)/$', DkeaListView, name='list'),
re_path(r'^detail/(?P<detail>\d+)/$', DkeaDetailView, name='detail')
] | seongwonyang/prj_2st | dkea/urls.py | urls.py | py | 273 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.urls.re_path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.re_path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.re_path",
"line_number": 9,
"usage_type": "call"
}
] |
2920070801 | # # BOT_TOKEN = '5880981869:AAGrRMEyP-Ty_KjwmjFOTh_qw5-VMiYvp2o'
# # Replace these with your own values
# api_id = 1909484
# api_hash = 'cc35d89e519babd93edee46b5292ab10'
# TOKEN = '5880981869:AAGrRMEyP-Ty_KjwmjFOTh_qw5-VMiYvp2o'
# destination_channel_username = 'NETFLY'
import os
import telegram
TOKEN = '588... | menachem16/load | main.py | main.py | py | 2,259 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "telegram.Bot",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "telegram.ext.Updater",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "telegram.ext",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "telegram.ext.Comm... |
42316713193 | """K-Means module, contain K-Means implementation inside KMeans classpfa.particles[0].centroids, pfa.particles[0]._predict(x), x
"""
import math
import numpy
import pandas as pd
from scipy.spatial import distance_matrix
from sklearn import metrics
def intra_cluster_distance(centroids: numpy.ndarray,labels: numpy.nda... | akm7289/PFA-CLUS | kmeans.py | kmeans.py | py | 8,643 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.ndarray",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "numpy.where",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.norm",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"... |
21015208532 | # -*- coding: utf-8 -*-
"""
Created on Fri Jan 5 23:57:52 2018
@author: navya
"""
import itertools;
N=int(input());
s=input().split();
K=int(input());
sum1=0;
l=list(itertools.combinations(s,K));
for i in l:
if ('a' in i):
sum1=sum1+1;
print(sum1/len(l));
| NavyaKola/PythonPractice1 | HackerRank/PyPrac/Itertools/iterablesAndIterators.py | iterablesAndIterators.py | py | 320 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "itertools.combinations",
"line_number": 12,
"usage_type": "call"
}
] |
19857862755 | import pandas as pd
import gensim
from gensim.utils import simple_preprocess
from gensim.parsing.preprocessing import STOPWORDS
from nltk.stem import WordNetLemmatizer, SnowballStemmer
from nltk.stem.porter import *
import numpy as np
import nltk
import pymongo
from gensim.models.coherencemodel import CoherenceModel
f... | mandoiwanaga/dreamjobber | dreamjobber_web/recommend.py | recommend.py | py | 2,978 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 59,
"usage_type": "call"
}
] |
72717801974 | import requests as requests_original
from .proxy import ProxyObject
from typing import List, Tuple
class defaults:
@staticmethod
def proxy_is_working(proxy: ProxyObject, timeout: int = 5) -> bool:
try:
res = requests_original.get("http://icanhazip.com/", proxies=proxy.to_dict(), timeout=ti... | Tortuginator/pyproxyroulette | pyproxyroulette/defaults.py | defaults.py | py | 1,746 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "proxy.ProxyObject",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "proxy.to_dict",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "proxy.response_time",
... |
27692700354 | import numpy as np
import torch as T
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import os
import gym
from gym import wrappers
from utils import *
from main_classes import *
import matplotlib.pyplot as plt
import numpy as np
from collections import deque
from garage.envs.wr... | mariagraziaberni/Reinforcement_Learning | Pixel_Observation/main.py | main.py | py | 3,264 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "gym.make",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "garage.envs.wrappers.PixelObservationWrapper",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "garage.envs.wrappers.Grayscale",
"line_number": 30,
"usage_type": "call"
},
{
... |
19921091213 | import io
import os
from typing import Tuple
from avro.io import BinaryEncoder, DatumWriter
from avro.schema import parse
from confluent_kafka import Producer, schema_registry # type: ignore
from dotenv import load_dotenv
from etl_black_friday.constants import (AVRO_SCHEMA_SUBJECT_NAME,
... | rodrigofmcarvalho/black-friday-pipeline | collector/src/helpers/validator.py | validator.py | py | 1,640 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "avro.io.DatumWriter",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "io.BytesIO",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "avro.io.BinaryEncod... |
19666178820 | from flask import Flask, jsonify
import datetime
app = Flask(__name__)
@app.route('/')
def get_time():
now = datetime.datetime.now()
time_str = now.strftime('%Y-%m-%d %H:%M:%S')
return jsonify({'time': time_str})
if __name__ == '__main__':
app.run(host='0.0.0.0', port=8000)
| cosir888/api | python_time_api.py | python_time_api.py | py | 294 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "flask.jsonify",... |
17621143986 | from collections import deque
from math import prod
with open("day11.in") as f:
data = f.read().strip()
'''
Iterate each monke
Iterate each item
1. Execute operation on item's worry
2. Item's worry // 3
3. Test & throw to respective monke
'''
class Monke:
def __init__(self, s):
... | seetohjinwei/adventofcode | year2022/day11.py | day11.py | py | 1,774 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "collections.deque",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "math.prod",
"line_number": 34,
"usage_type": "call"
}
] |
18603814351 | #!/usr/bin/env python2
import os
import errno
import sys
import subprocess
import shutil
sys.path.append(os.path.join(os.path.dirname(__file__), '..', '..', '..', '..', 'xar'))
import xar
import xml.etree.ElementTree as ET
# Check that the post installation action is not set for the package during the build process... | packagesdev/packages_tests | distribution/packages/settings/test_distribution_packages_settings_post-installation-behavior_do-nothing/test.py | test.py | py | 1,441 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "sys.path.append",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
30857453076 | #! /usr/bin/env python3
from itertools import product, starmap, islice
with open('./day11in') as f:
data = [list(map(int, list(x))) for x in f.read().splitlines()]
class Oct():
def __init__(self, energy):
self.energy = energy
self.charged = False
self.has_flashed = False
def __r... | michael1241/adventofcode21 | day11.py | day11.py | py | 2,269 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "itertools.islice",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "itertools.starmap",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "itertools.product",
"line_number": 21,
"usage_type": "call"
}
] |
23144612442 | import os
from PIL import Image
import numpy as np
from keras.utils import np_utils
from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Activation, Flatten
from keras.optimizers import SGD
from keras.layers import Conv2D, MaxPooling2D # 卷积层 池化层
"""
cattrain就是为了训练训练集，生成权重文件.h5
"""
#---... | lesenelir/Django-Cats-Classifier | cat/cattrain.py | cattrain.py | py | 4,167 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "os.listdir",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": ... |
18569904296 | import os
import tensorflow as tf
import tensorflow_hub as hub
import numpy as np
from matplotlib import pyplot as plt
from PIL import Image
def stylize_images(input_dir, output_dir):
if not os.path.exists(output_dir):
os.mkdir(output_dir)
# Load pre-trained model
hub_module = hub.load('https://tf... | MurikiGY/Art-Distortion-Detection | artGen.py | artGen.py | py | 1,731 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.exists",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "tensorflow_hub.load",
"line_nu... |
70945936052 | import logging
from qtpy.QtCore import QRect
from hyperctui.parent import Parent
from hyperctui.initialization.gui_initialization import GuiInitialization
from hyperctui.setup_ob.get import Get as Step1Get
from hyperctui.session.new_session import NewSession
from hyperctui.session import SessionKeys
from hyperctui.set... | ornlneutronimaging/HyperCTui | src/hyperctui/event_handler.py | event_handler.py | py | 8,318 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "hyperctui.parent.Parent",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "hyperctui.session.new_session.NewSession",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "hyperctui.initialization.gui_initialization.GuiInitialization",
"line_number... |
13944180292 | import requests
hostname = "http://35.158.219.60:5000"
def create_job():
payload = {
"from": {
"address": "5 rue joseph riviere courbevoie",
"zip_code": "92400"
},
"to": {
"address": "5 rue joseph riviere courbevoie",
"zip_code": "92400"
... | jeremymaignan/WeLeave | api/tests.py | tests.py | py | 1,791 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.post",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_num... |
9018437819 | from rest_framework.permissions import IsAuthenticatedOrReadOnly
SAFE_METHODS = ('GET', 'HEAD', 'OPTIONS')
class IsAuthenticatedAdmin(IsAuthenticatedOrReadOnly):
def has_permission(self, request, view):
"""
Method to check Admin permission.
"""
return bool(
request.meth... | kumarkiran12378/riktam | chatapp/user/permission.py | permission.py | py | 460 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "rest_framework.permissions.IsAuthenticatedOrReadOnly",
"line_number": 5,
"usage_type": "name"
}
] |
38006604292 | import setuptools
# read the contents of the README.md file to get a long_description
from os import path
this_directory = path.abspath(path.dirname(__file__))
with open(path.join(this_directory, 'README.md'), encoding='utf-8') as f:
readme = f.read()
long_description = readme[:readme.find('## Contents')].str... | flordan/europar23 | tests/gridsearch/application/dislib_nested/setup.py | setup.py | py | 1,553 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "os.path.abspath",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "os.path.dirname",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number"... |
12569926543 | import numpy as np
import matplotlib.pyplot as plt
from matplotlib.backends.backend_pdf import PdfPages
from scipy.io import wavfile
pdf = []
pdfDoc = PdfPages('p06.pdf')
sample_rate, signal = wavfile.read("p05.wav")
# Ia pas de 1%
step = int(len(signal) * 0.01)
total_len = step * 100 - (step if step * 100 != len(si... | fredtux/PrelucrareaSemnalelor_Teme | Lab04/p06.py | p06.py | py | 1,107 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "matplotlib.backends.backend_pdf.PdfPages",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "scipy.io.wavfile.read",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "scipy.io.wavfile",
"line_number": 9,
"usage_type": "name"
},
{
"api_... |
70899196853 | from datetime import datetime
from re import compile, match
from string import Template
from uuid import uuid4
from flask import *
from src.database import commit_db
def add_incident_route(error=None):
"""
Adds incident to system; return template
:param error - message ot pass to user if any specified
... | hessmjr/resource-management-system | src/routes/add_incident.py | add_incident.py | py | 3,171 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "uuid.uuid4",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 76,
... |
11773199742 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
# Author: Donny You(youansheng@gmail.com)
# Loss function for Semantic Segmentation.
import torch
import torch.nn as nn
import torch.nn.functional as F
class CELoss(nn.Module):
def __init__(self, configer=None):
super(CELoss, self).__init__()
self.con... | donnyyou/torchcv | model/det/loss/ce_loss.py | ce_loss.py | py | 1,066 | python | en | code | 2,235 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "torch.FloatTensor",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.nn.functional.c... |
71850831733 | import cv2
import os
# Defina o diretório de destino para salvar as imagens capturadas
diretorio_destino = "imagens/"
# Crie o diretório, se ele ainda não existir
if not os.path.exists(diretorio_destino):
os.makedirs(diretorio_destino)
# Inicie a captura de vídeo a partir da webcam
cap = cv2.VideoCapture(0)
# D... | TonyRio/2023-Facial_Rec_drones | master/CapTela.py | CapTela.py | py | 1,011 | python | pt | code | 0 | github-code | 21 | [
{
"api_name": "os.path.exists",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_num... |
14474643001 | """
This code can be modified to visualize predicts of any model.
"""
from __future__ import division
import os
from tqdm import tqdm
import pandas as pd
import extra_functions
import tensorflow.keras
from tensorflow.keras.layers import Input, concatenate, Conv2D, MaxPooling2D, UpSampling2D, Cropping2D, BatchNormaliz... | nrharbeck/U-Net-Satellite-Image-Segmentation | Code/modeling-visualization/make_prediction_cropped_buildings_structures.py | make_prediction_cropped_buildings_structures.py | py | 9,043 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "os.getcwd",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.layers.Input",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.layers.Conv2D",
"line_number": 32,
"usage_type": "call"
},
{
"api_name":... |
22950787181 | import json
import os
import subprocess
import string
import random
from pathlib import Path
from shutil import copy, rmtree
from time import sleep
from typing import List
from brownie import project, network, accounts
from pytest import fixture
from src.contracts.secret.secret_contract import change_admin
from src.l... | levackt/EthereumBridge | tests/integration/swap_token/conftest.py | conftest.py | py | 6,150 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "string.ascii_letters",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "string.digits",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "random.choice",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "src.util.c... |
40986987013 | import argparse
def load_parser():
parser = argparse.ArgumentParser()
logging = parser.add_argument_group("logging settings")
logging.add_argument('-ld', '--log-dir', type=str, default=None)
logging.add_argument('-ckpt', '--checkpoint', type=str, default=None)
logging.add_argument('-v', '--verbosity', typ... | wcarvalho/ViralityPredictionModel | 3_train_model/src/config.py | config.py | py | 4,361 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 5,
"usage_type": "call"
}
] |
86617206234 | #First step is to import the libraries
import os
import random
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.autograd import Variable
#Here Neural Network Class will be created.
class Neural_Network(nn.Module): #This class will inherit all the metho... | sukhbir77/Self-Driving-Car-Using-AI | AI.py | AI.py | py | 7,059 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_nu... |
41752192486 | import numpy as np
import torch
import torch.nn as nn
import torch.functional as F
from sklearn.metrics import accuracy_score
class DMILoss:
def __call__(self, *args, **kwargs):
return self.forward(*args, **kwargs)
def forward(self, output, target):
outputs = torch.softmax(output, dim=-1)
... | gohsyi/PeerLoss | models/nn.py | nn.py | py | 12,922 | python | en | code | 36 | github-code | 21 | [
{
"api_name": "torch.softmax",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.int64",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "torch.zeros",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.det",
"line_numb... |
12607091502 | from __future__ import annotations
from datetime import datetime, date
from typing import Union, List
import firefly as ff
import firefly_integration.domain as domain
import pandas as pd
import numpy as np
class SanitizeInputData(ff.DomainService):
def __call__(self, data: Union[List[dict], dict, pd.DataFrame]... | firefly-framework/firefly-integration | src/firefly_integration/domain/service/sanitize_input_data.py | sanitize_input_data.py | py | 2,423 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "firefly.DomainService",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "typing.Union",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "pandas.DataFrame"... |
29667972734 | #coding=utf-8
#Version 1.0
#update 2015-11-25
import os
import re
import unittest
import time
from appium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
from appium.webdriver.common.touch_action import TouchAction
from appium.webdriver.common.multi_action import MultiAction
from selenium.web... | lwcn01/appScript | Script/video.py | video.py | py | 17,995 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "unittest.TestCase",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "appium.webdriver.Remote",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "appium.webdriver",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "time.... |
18404590349 | import itertools; import math; import operator; import random; import re; from bisect import *; from collections import deque, defaultdict, Counter, OrderedDict; from heapq import *; import unittest; from typing import List;
def get_sol(): return Solution()
class Solution:
# see the solution below for better unders... | afzalsiddique/problem-solving | Problem_Solving_Python/leetcode/lc1726.py | lc1726.py | py | 1,653 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "collections.Counter",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "collections.Counter",
"... |
43818255057 | import sys
import argparse
from os import listdir
import string
import pandas as pd
sys.path.append("../")
import evaluator
from itertools import chain
import nltk
from sklearn.metrics import classification_report, confusion_matrix
from sklearn.preprocessing import LabelBinarizer
import sklearn
import... | Evm7/AHLT | Session02/Learner.py | Learner.py | py | 13,356 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sys.path.append",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "sklearn.preproces... |
14019562169 | from django.http import HttpResponse
from datetime import date, datetime
from poll.models import *
from django.shortcuts import render
from django.contrib.auth.models import User
from django.contrib.auth import login, authenticate
from django.contrib.auth.forms import UserCreationForm
from django.shortcuts import ren... | DanPetrovich/WebSite_SHP_Project-15.02.21 | project_for_github/simple-votings-_-develop/poll/views.py | views.py | py | 19,701 | python | ru | code | 0 | github-code | 21 | [
{
"api_name": "django.http.HttpResponse",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 53,
"usage_type": "call"
},
{
"api_name... |
30486082 | from flask import Flask, render_template, request, redirect, url_for, session
app = Flask(__name__)
app.secret_key = 'your_secret_key'
# Simulated user data
"""
- These are some dummy usernames
- For example, while logging in, use 'user1' as username
- It will store the session of Alice and show their email ID
"""
u... | soubarno77/flask_projects | Flask_Assignment5/app.py | app.py | py | 1,114 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "flask.session",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "flask.session",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "flask.render_template",
"l... |
70299152053 | import json
import os
import requests
from tabulate import tabulate
from dotenv import load_dotenv
import matplotlib.pyplot as plt
class Service:
def __init__(self) -> None:
load_dotenv()
self.URL_GET = os.getenv('URL_GET')
self.URL_CREATE = os.getenv('URL_CREATE')
def _get_data_fro... | Maksim-Burtsev/costs_bot | services.py | services.py | py | 4,068 | python | ru | code | 0 | github-code | 21 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_numbe... |
10300957193 | import json
from gischain import base
g_tools_mapping = {
# "buffer": {"func":buffer,
# "desc":“{
# name:buffer,
# description:得到缓冲区,
# inputs:{
# datafile:要求缓冲区的数据文件
# rad... | pampa0629/gischain | tools/define.py | define.py | py | 3,101 | python | zh | code | 4 | github-code | 21 | [
{
"api_name": "gischain.base.update_kv_dict",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "gischain.base",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "multiprocessing.current_process",
"line_number": 41,
"usage_type": "call"
}
] |
28593266541 | """Define package constants."""
import logging
from typing import Final
from ecowitt2mqtt.helpers.typing import UnitSystemType
__version__ = "2022.08.4"
LOGGER = logging.getLogger(__package__)
# Configuration keys:
CONF_BATTERY_OVERRIDES: Final = "battery_override"
CONF_CONFIG: Final = "config"
CONF_DEFAULT_BATTER... | ryanm101/ecowitt2mqtt | ecowitt2mqtt/const.py | const.py | py | 8,098 | python | en | code | null | github-code | 21 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "typing.Final",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.Final",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.Final",
"line_... |
12900188515 | #encoding=utf-8
import os
import jieba
import math
from collections import defaultdict #dic['saasd']不会报错
def jud(a,b,c):
print(a,b,c)
if a>b and a>c:
print(1)
if b>a and b>c:
print(2)
if c>a and c>b:
print(3)
def GetStopWords(name):
Stop=[]
with open("data\\"+name+"... | CColike/Soochow-University-CS | Information retrieval/实验/实验3(2)/柯骅2027405033SourceCode.py | 柯骅2027405033SourceCode.py | py | 3,934 | python | en | code | 3 | github-code | 21 | [
{
"api_name": "jieba.lcut",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "jieba.cut",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "math.log",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "math.log",
"line_number": 94,
"... |
10235848600 | import re
from datetime import datetime
from django.conf import settings
from django.template import Context
from django.template.loader import get_template
from django.contrib.contenttypes.models import ContentType
from tendenci.apps.invoices.models import Invoice
from tendenci.apps.site_settings.utils import get_sett... | musasesay/membershiptemplet | tendenci/apps/forms_builder/forms/utils.py | utils.py | py | 4,963 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "django.template.Context",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "tendenci.apps.site_settings.utils.get_setting",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.template.loader.get_template",
"line_number": 16,
"usage_typ... |
42152184723 | import numpy as np
import sys
import logging
def levenshtein(needle, haystack, case_sensitive = True, substring_match = "full"):
# substring_match
# full
# substring
# beginning
# end
assert substring_match in ["full", "substring", "beginning", "end"]
size_x = len(needle) + 1
size_y =... | kocmitom/document_reconstruction | reconstruct.py | reconstruct.py | py | 7,210 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numpy.zeros",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 54,
"usage_type": "attribute"
},
{
"api_name": "logging.error",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number":... |
42706784713 | from django.db import models
from django.db.models.deletion import CASCADE
from django.contrib.postgres.fields import ArrayField
import uuid
# Create your models here.
def create_directory(instance, filename):
dirname = instance.id
return "templates/{}/{}".format(dirname, filename)
def create_imgs_directory(i... | VinhTruong2001/smart-points-back-end | template/models.py | models.py | py | 2,624 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.db.models.Model",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 16,
"usage_type": "call"
},
{
"api_name"... |
40176301718 | from . import views
from django.conf.urls import url
app_name = 'myapp' \
''
urlpatterns = [
url(r'^$', views.index, name='index'),
url(r'^student/$', views.studentlogin, name='student'),
url(r'^teacher/$', views.teacherlogin, name='teacher'),
url(r'^zhuanjia/$', views.zhuanjialogin, name='z... | qq1014584725/web | project/myapp/urls.py | urls.py | py | 1,865 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.co... |
13560570067 | from flask import Flask, jsonify, request
from flask_sqlalchemy import SQLAlchemy
from flask_cors import CORS
from flask_marshmallow import Marshmallow
from sqlalchemy.sql.expression import Tuple
from models import *
from sqlalchemy.orm import load_only
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = 'my... | spiderdj/undefined-visaHack2019 | backend/API/Controller.py | Controller.py | py | 11,965 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask_marshmal... |
28502347231 | # 416. Partition Equal Subset Sum
# Given a non-empty array containing only positive integers, find if the
# array can be partitioned into two subsets such that the sum of
# elements in both subsets is equal.
# Note:
# Each of the array element will not exceed 100.
# The array size will not exceed 200.
# Example 1:
... | DmitryVlaznev/leetcode | 416-partition-equal-subset-sum.py | 416-partition-equal-subset-sum.py | py | 1,491 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "typing.List",
"line_number": 26,
"usage_type": "name"
}
] |
28967284140 | """
Distributed batch training of ATLAS RPV CNN Classifier
"""
# System
import socket
import argparse
# Externals
import horovod.keras as hvd
# Locals
from rpv import load_dataset, build_model, train_model
# Argument parsing
parser = argparse.ArgumentParser()
parser.add_argument('--input-dir', default='/global/cscr... | sparticlesteve/cori-intml-examples | train_rpv.py | train_rpv.py | py | 3,032 | python | en | code | 11 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "horovod.keras.init",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "horovod.keras",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "horovod.kera... |
24400180617 | from __future__ import print_function
import json
from flask import jsonify, request, Response
from flask_mail import Message
from app import mail
from app import app
from app.lsa import LSA
from app.models import Recipe, Ricin, Ingredient
from app.schema import RecipeSchema, IngredientSchema, FullIngredientSchema, Tit... | GiuseppeNappo/MagicPotBackend | app/routes.py | routes.py | py | 3,297 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "app.schema.RecipeSchema",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "app.schema.IngredientSchema",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "app.schema.FullIngredientSchema",
"line_number": 14,
"usage_type": "call"
},
{
... |
39066959162 | import logging
import json
import datetime
import requests
import pyodbc
import azure.functions as func
from .connection_config import syn_sql_pool_conn_string, container_weather_dir_raw_data
def main(req: func.HttpRequest) -> func.HttpResponse:
logging.info("Python HTTP trigger function processed a request.")
... | rafalnac/weather-air-quality-poland | az-functions/http-trigger-get-gios-measurment-data/__init__.py | __init__.py | py | 2,488 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "azure.functions.HttpRequest",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "azure.functions",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "logging.info",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pyodbc.... |
39432898609 | import json
import pandas as pd
from pathlib import Path
DATA_PATH = Path("/data/wr153")
txt_list = []
for f in DATA_PATH.joinpath("text").iterdir():
if f.suffix == ".json":
with open(f, "rb") as fp:
d = json.load(fp)
ch_title = d.pop(sorted(d, key=int)[0])
# remove ou... | lavaman131/graphic_memoir_analysis | generate_fine_tuning_data.py | generate_fine_tuning_data.py | py | 905 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pathlib.Path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 24,
"usage_type": "call"
}
] |
1738442401 | # -*- coding: utf-8 -*-
import re
from scrapy import Spider
from dateutil import parser
from artbot_scraper.items import EventItem
from pytz import timezone
class NationalArtSchoolSpider(Spider):
name = 'National Art School'
allowed_domains = ['nas.edu.au']... | coreymcdermott/artbot | artbot_scraper/spiders/nas_spider.py | nas_spider.py | py | 1,330 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "scrapy.Spider",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "artbot_scraper.items.EventItem",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pytz.timezone",... |
27911179467 |
from flask import request
from . import user_app
from apps.models.organizations import Organization
from pkg.response.response import Response
from exts import db
@user_app.route("/organization/add", methods=['POST'])
def organization_add():
"""
机构的新增
:return:
"""
title = request.fo... | Gscsd8527/FlaskProject | FlaskAdmin/apps/users/organization.py | organization.py | py | 1,659 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.request.form.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.request.form",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "flask.re... |
73350416372 | import os
from random import randrange
from tqdm import tqdm
PATH = "/home/heinecantor/Scaricati/HANDS_yolo"
os.makedirs(PATH + "/train/images", exist_ok=True)
os.makedirs(PATH + "/train/labels", exist_ok=True)
os.makedirs(PATH + "/valid/images", exist_ok=True)
os.makedirs(PATH + "/valid/labels", exist_ok=True)
os.... | HeineCantor/Handy | training/preprocessing/train_valid_test_splitter.py | train_valid_test_splitter.py | py | 1,283 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "os.makedirs",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.makedirs",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.makedirs",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.makedirs",
"line_number": 11... |
70310219574 | from django.test import TestCase
from . import xmlrpc
from .constants import AmcrConstants as constants
from . import helper
from django.conf import settings
from webamcr import helper_general
from .models import Dokument
#import html5lib
import json
import time
import threading
from shapely import wkb
... | ARUP-CAS/aiscr-amcr-pas-3d | webamcr/documents/tests.py | tests.py | py | 17,166 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "django.test.TestCase",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "django.conf.settings.AMCR_BACKEND_MOCK",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 21,
"usage_type": "name"
},
{
... |
12338777449 | # from PySide6.QtWidgets import QApplication, QWidget, QVBoxLayout, QTreeWidget, QTreeWidgetItem
# class Example(QWidget):
# def __init__(self):
# super().__init__()
# self.initUI()
# def initUI(self):
# vbox = QVBoxLayout()
# tree = QTreeWidget()
# tree.setColumnCount... | leateng/cutter | examples/tree.py | tree.py | py | 3,800 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "PySide6.QtWidgets.QWidget",
"line_number": 52,
"usage_type": "name"
},
{
"api_name": "PySide6.QtWidgets.QVBoxLayout",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "PySide6.QtWidgets.QTreeWidget",
"line_number": 60,
"usage_type": "call"
},
{
... |
37389714667 | import pandas as pd
import numpy as np
import xgboost as xgb
from xgboost.sklearn import XGBRegressor
from sklearn import cross_validation, metrics
from sklearn.grid_search import GridSearchCV
from sklearn import preprocessing
import matplotlib.pylab as plt
from matplotlib.pylab import rcParams
rcParams['figure.figsi... | thousandface/jdd_c | model2.py | model2.py | py | 2,708 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "matplotlib.pylab.rcParams",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "xgboost.skl... |
40149737882 | import click
import pluggy
from tree import leaf
from tree import twig
from tree.trunk import hooks
def print_banner():
print("""
_-_
/~~ ~~\\
/~~ ~~\\
{ }
\ _- -_ /
~ \\\\ // ~
_- - | | _- _
_ - | | -_
// \\
""")
@click.group()
def cli() ->... | dmaljovec/tree-trunk | tree/trunk/main.py | main.py | py | 797 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "click.group",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "click.command",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pluggy.PluginManager",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "tree.trunk.hooks",
... |
45677981085 | import os
import sys
from argparse import ArgumentParser, ArgumentDefaultsHelpFormatter
from typing import Dict, Optional, NamedTuple, List
import numpy as np
from common.constants import NAME, PATH, EXT, START_TIME
from common.constants import STATS, MODELS, PARAMS, LOGS, CHECKPOINTS
from data.data_io impor... | MattMcPartlon/AttnPacker | protein_learning/networks/config/global_config.py | global_config.py | py | 48,675 | python | en | code | 50 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentDefaultsHelpFormatter",
"line_number": 64,
"usage_type": "name"
},
{
"api_name": "scoring.loss.coord_loss.COORD_LOSS_TY_DESCS",
"line_number": 197,
"usage_t... |
42815280396 |
import configparser
from lib import emr_cluster
if __name__ == "__main__":
# Read in configurations parameters
config_filepath = 'config.cfg'
config = configparser.ConfigParser()
config.read_file(open(config_filepath))
# Instantiate a EMRLoader cluster class
emrCluster = emr_clust... | Antozamm/1week4 | Udacity-DEND-capstone/home/.ipynb_checkpoints/emr_cluster_spark_submit-checkpoint.py | emr_cluster_spark_submit-checkpoint.py | py | 1,730 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "lib.emr_cluster.EMRLoader",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "lib.emr_cluster",
"line_number": 15,
"usage_type": "name"
}
] |
34233392229 | from django.db import models
from django.contrib.auth.models import User
TYPE =(
('Positive','Positive'),
('Negative', 'Negative')
)
# Create your models here.
class Profile(models.Model):
user = models.ForeignKey(User,on_delete=models.CASCADE)
income = models.FloatField()
expenses = models.Fl... | Rahul27032000/DjangoExpenseApp | home/models.py | models.py | py | 1,044 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.db.models.Model",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.db.models.ForeignKey",
"line_number": 11,
"usage_type": "call"
},
{
"api_name... |
13076176479 | #construct NN Data Web Scrapping from google.com
#save parameters so we can use many times for each obj
#convert images to h5 dataset
#scraping images data from web and save it
#reshaping images (64,64,3) or other uniform shape and save it
#web packs
import requests #lib to perform HTTP request from any si... | roshdii/WNN | Web_scraping.py | Web_scraping.py | py | 5,697 | python | en | code | 0 | github-code | 21 | [
{
"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",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_... |
74328301494 | import os
import argparse
import tensorflow as tf
import yaml
import json
"""
HOW TO USE:
1) Create Python 3.8 venv:
/usr/bin/python3.8 -m venv ~/py38_venv
2) Activate and install Tensorflow 2.7:
cd py38_venv/
source bin/activate
pip3 install tensorflow
3) ssh to hosts in ../distribute.yaml, note the index number t... | christian-westbrook/covid-19-and-weather-patterns | src/start_worker.py | start_worker.py | py | 1,661 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "yaml.safe_load",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 48,
"usage_type": "attribute"
},
{
"api_name": "json.dumps",
... |
10294797175 | import re
import pandas as pd
import numpy as np
import sys
import os
import networkx as nx
from datetime import datetime
from collections import defaultdict
import random
import time
import uuid
def makehash(w=dict):
"""autovivification like hash in perl
http://stackoverflow.com/questions/651794/whats-the-be... | anfoss/PCprophet | PCprophet/io_.py | io_.py | py | 12,652 | python | en | code | 11 | github-code | 21 | [
{
"api_name": "collections.defaultdict",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 47,
"usage_type": "call"
},
{
"api_name"... |
27812962095 | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
from layers import *
import torchvision.transforms as transforms
import torchvision.models as models
import torch.backends.cudnn as cudnn
import torch.nn.init as init
import os
class L2Norm(nn.Module):
'''L2Norm ... | LeileiCao/SFD_Pytorch | models/SFD_net.py | SFD_net.py | py | 7,716 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "torch.nn.Module",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "torch.nn.Parameter",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line... |
5108877987 | # Pontificia Universidad Javeriana. Departamento de Electrónica
# Authors: Juan Henao, Marian Fuentes; Estudiantes de Ing. Electrónica.
# Procesamiento de Imagenes y video
# 25/10/2020
# Import Librarys
import numpy as np
import cv2
import glob
import os
import json
# Control the number of vertices findCh... | marianfuentes/calibration-and-3D-projection-camera-calibration | camera_calibration.py | camera_calibration.py | py | 5,484 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "cv2.TERM_CRITERIA_EPS",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "cv2.TERM_CRITERIA_MAX_ITER",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_number": 21,
"usage_type": "call"
},
{
"api_name":... |
73892331573 | import zmq
import json
import copy
class Matrix:
"Leds matrix"
def __init__(self):
"Establish connection to matrix"
self.width = 12
self.height = 10
self.__mat__ = [None]*10
for x in range(10):
self.__mat__[x] = [None]*12
for y in range(12):
... | Cynerd/turris-tetris | turtetris_master/led_output.py | led_output.py | py | 2,219 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "zmq.Context",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "zmq.PUB",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "json.dumps",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number"... |
15750308160 | import logging
import os
from spinn_utilities.socket_address import SocketAddress
from spinnman.messages.eieio import EIEIOType
from spinn_front_end_common.abstract_models import (
AbstractSendMeMulticastCommandsVertex)
from spinn_front_end_common.utility_models import LivePacketGather
from spinn_front_end_common.u... | apdavison/sPyNNaker8 | spynnaker8/external_devices/__init__.py | __init__.py | py | 10,899 | python | en | code | null | github-code | 21 | [
{
"api_name": "spynnaker.pyNN.spynnaker_external_device_plugin_manager.SpynnakerExternalDevicePluginManager.add_database_socket_address",
"line_number": 48,
"usage_type": "attribute"
},
{
"api_name": "spynnaker.pyNN.spynnaker_external_device_plugin_manager.SpynnakerExternalDevicePluginManager",
... |
31923287564 | import os
import sys
import stat
import argparse
import calc
from calc.interpreter import Interpreter, ParserError
def interpret(text):
"""Pass input ``text`` to a new ``Interpreter``.
Args:
text (str): The text to be interpreted.
"""
interpreter = Interpreter(text)
try:
result =... | reillysiemens/calc | calc/__main__.py | __main__.py | py | 1,172 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "calc.interpreter.Interpreter",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "calc.interpreter.ParserError",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 25,
"usage_type": "call"
},
{
... |
38057388802 | import time
import pandas
import pygame
grid_user = [[0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0... | SRingshandl/SudokuSolver | SudokuSolverVisual.py | SudokuSolverVisual.py | py | 7,120 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pandas.DataFrame",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pygame.Rect",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "pygame.draw.rect",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "pygame.draw",
"line... |
71894642294 | from EntityModel.CompositeTask import CompositeTask
from EntityModel.SimpleTask import SimpleTask
from EntityModel.Deliverable import Deliverable
from flask import Flask, jsonify, request
import main_func
import json
import os.path
import sys
def createProject(name, date):
#name = json_request['pname']
#date = jso... | yogeshdixit41/PyFlaskWebApp | Controller/ProjectController.py | ProjectController.py | py | 2,222 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "EntityModel.CompositeTask.CompositeTask",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "main_func.getId",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "main_func.project_objects",
"line_number": 17,
"usage_type": "attribute"
},
{... |
12265698391 | import numpy as np
import tensorflow as tf
import cv2
import sys
import utils
import vgg19
import matplotlib.pyplot as plt
import skimage.io
vgg_height=224
vgg_width=224
class CNNfeature:
def __init__(self):
self.vgg = vgg19.Vgg19()
self.sess = tf.Session()
self.vgg_placeh... | plutojia/tracker-byVGG19Feature-python | CNNfeature.py | CNNfeature.py | py | 2,478 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "vgg19.Vgg19",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "tensorflow.Session",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "tensorflow.placeholder",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
... |
12900008464 | import pygame, sys, objects
from pygame.locals import *
pygame.init()
pygame.font.init()
pygame.key.set_repeat(100, 50)
screen = pygame.display.set_mode((640, 480))
pygame.display.set_caption('Asteroids')
screenx = screen.get_width()
screeny = screen.get_height()
background = pygame.Surface((screen.get_size()))
back... | Peter-Lande/asteroids | main.py | main.py | py | 1,593 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "pygame.init",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pygame.font.init",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "pygame.key.set_repeat",
... |
4088924048 | import logging
def get_logger(logger_name= __name__, log_base_level=logging.DEBUG, fh_name='Logging/logs/sys.log', fh_log_level=logging.DEBUG):
logger = logging.getLogger(logger_name)
print('F1, logger_name', logger_name, logger.handlers)
logger.setLevel(log_base_level)
formatter = logging.Formatter... | OlegBunseki/Python-Tutorials | Logging/utils_logger.py | utils_logger.py | py | 637 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "logging.DEBUG",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "logging.Formatter",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.FileHand... |
69900042292 | import os
import base64
import hashlib
import hmac
import json
from flask import Flask, request, jsonify, make_response
app = Flask(__name__)
API_KEY = os.environ['API_KEY']
API_SECRET = os.environ['API_SECRET']
@app.route('/')
def top():
return 'hello'
@app.route('/webhook', methods=['GET'], strict_slashes=F... | kairi003/twitter-aaapi-test | main.py | main.py | py | 796 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "flask.request.args.get",
... |
25465557813 | # -*- coding: utf-8 -*-
import re
from flask import abort, render_template, redirect, request, url_for, flash
from flask_login import login_user, logout_user, login_required, current_user
from flask_babel import gettext
from config import (
IsDebug, IsDeepDebug, IsTrace, IsPrintExceptions, errorlog, print_to, p... | ichar/tvmlivehealth.telegram | app/scenario/views.py | views.py | py | 1,419 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask_babel.gettext",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "flask_babel.gettext",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 56,
"usage_type": "call"
}
] |
26556934021 | import IRBEM
import numpy as np
import matplotlib.pylab as plt
import spacepy.datamodel
import dateutil.parser
import copy
from mpl_toolkits.mplot3d import Axes3D
X = {}
X['x1'] = 651
X['x2'] = 63
X['x3'] = 15.9
X['dateTime'] = '2015-02-02T06:12:43'
X2 = copy.deepcopy(X)
# Get TS04 field inputs
omniLoc = '/home/mike... | mshumko/bouncing_microburst | event0/show_bounce_field.py | show_bounce_field.py | py | 2,821 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "copy.deepcopy",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "spacepy.datamodel.datamodel.fromHDF5",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "spacepy.datamodel.datamodel",
"line_number": 19,
"usage_type": "attribute"
},
{
... |
12714853077 | import numpy as np
import torch
class gcn_layer(torch.nn.Module):
"""
layer http://tkipf.github.io/graph-convolutional-networks/
"""
def __init__(self, indim, outdim):
super(gcn_layer, self).__init__()
self.indim = indim
self.outdim = outdim
self.weight = to... | ishanrai05/gnn | demo/gcn/layers.py | layers.py | py | 1,074 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "torch.nn",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Parameter",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.FloatTensor",
... |
31247481641 | import os
import subprocess
import math
import configparser
from PIL import Image
import requests
import images
if os.name == "nt" and not os.path.exists("ffmpeg.exe"):
print("Downloading 7zr...")
a = requests.get("https://www.7-zip.org/a/7zr.exe")
open("7zr.exe", "wb").write(a.content)
print("D... | stonedDiscord/ao-nds | converter/AO NDS converter.py | AO NDS converter.py | py | 17,857 | python | en | code | null | github-code | 21 | [
{
"api_name": "os.name",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_num... |
39687221971 | from django.shortcuts import render, redirect
from .models import Post, Author, Comment
from django.views import generic
from .forms import CommentForm, SearchForm
from django.contrib.auth.decorators import login_required
from django.shortcuts import get_object_or_404
from django.contrib import messages
from django.vie... | deelaym/blog | blog/views.py | views.py | py | 4,503 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "models.Post.objects.all",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "models.Post.objects",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "models.Post",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "models.A... |
10805802942 | from __future__ import print_function, division
import os
import numpy as np
from openmdao.api import Group, Problem, Group, IndepVarComp, Component
from pointer.components import Trajectory, RHS, EOMComp, CollocationPhase
from scipy import interpolate
class TerrainElevationComp(EOMComp):
'''
The terrain co... | jcchin/MagnePlane | src/hyperloop/Python/mission/terrain.py | terrain.py | py | 3,101 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "pointer.components.EOMComp",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "os.path.dirname",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "os.path.realp... |
315462077 | """Main class to handle Database connection."""
import logging
import bleach
import psycopg2
import psycopg2.extensions
from conf import settings
psycopg2.extensions.register_type(psycopg2.extensions.UNICODE)
psycopg2.extensions.register_type(psycopg2.extensions.UNICODEARRAY)
log = logging.getLogger()
log.setLevel(... | gogasca/news_ml | api/version1_0/database/Db.py | Db.py | py | 7,045 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "psycopg2.extensions.register_type",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "psycopg2.extensions",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "psycopg2.extensions.register_type",
"line_number": 11,
"usage_type": "call"
... |
43435061778 | #!/usr/bin/env python3
"""
Tool for creating a dictionary for a lecture.
"""
import os
import lmh_harvest as harvest
import import_graph as graph
from make_dictionary import *
import argparse
parser = argparse.ArgumentParser(description="Script for generating a dictionary for a lecture")
parser.add_argument("IN... | slatex/lmhtools | lecture_dictionary.py | lecture_dictionary.py | py | 3,303 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "lmh_harvest.get_mathhub_dir",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "lmh_harvest.split_path_repo_doc",
"line_number": 19,
"usage_type": "call"
},
{
... |
13534054824 | import os
import torch
import torch.nn as nn
from matplotlib import pyplot as plt
from torch import optim
from tqdm import tqdm
import logging
from torch.utils.tensorboard import SummaryWriter
logging.basicConfig(format="%(asctime)s - %(levelname)s: %(message)s", level=logging.INFO, datefmt="%I:%M:%S")
class Diffusio... | abuzar08/ML | PyTorch/Diffusion/ddpm.py | ddpm.py | py | 3,088 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "logging.basicConfig",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.cumprod",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "torch.linspace",
... |
73412273973 | import re
import scrapy
from etherscan.items import EtherscanItem
class EscanSpider(scrapy.Spider):
name = 'escan'
allowed_domains = ['cn.etherscan.com']
start_urls = ['https://cn.etherscan.com/token/0xf4cB3db185D11e1cD3eEFDe5FFA5dDF4976c3B2e']
token = '0xf4cB3db185D11e1cD3eEFDe5FFA5dDF4976c3B2e'
... | Alexshaneeee/Etherscan_data_crawler | spiders/escan.py | escan.py | py | 2,233 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "scrapy.Spider",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "scrapy.Request",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_numb... |
38793846242 | from django.urls import path
from . import views
from django.conf.urls import url
urlpatterns = [
path('post_list/', views.post_list, name='post_list'),
path('post/<int:id>/', views.post_detail, name='post_detail'),
path('post/new', views.post_new, name='post_new'),
path('post/<int:id>/edit/', views.po... | jjisol/prerana | community/urls.py | urls.py | py | 517 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
27776569175 | import requests
from flask import Flask, request, jsonify
from flask_restful import Resource, Api
from flask_cors import CORS
import json
class ThingsToDo(Resource):
def get(self):
args = request.args
url = request.url
with open("thingstodo.json") as thingstodo:
data ... | memetron/PackathonAPI | main.py | main.py | py | 3,147 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "flask_restful.Resource",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "flask.request.args",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "flask.reque... |
74363470772 | import requests
def get_form(params: dict[str, str]):
resp = requests.post("http://localhost:10000/api/v1/get_form", params=params)
return resp.json()["result"]
params_list = [
{
"contact_number": "+7 999 999 99 99",
"order_date": "1990-02-11"
},
{
"contact_number": "+7 ... | user0101010101/test_task | script_for_testing.py | script_for_testing.py | py | 746 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "requests.post",
"line_number": 5,
"usage_type": "call"
}
] |
7637340881 | import csv
from config import config
from telethon import TelegramClient
from telethon.tl.functions.contacts import ResolveUsernameRequest
from telethon.tl.functions.channels import GetParticipantsRequest
from telethon.tl.types import ChannelParticipantsSearch
from telethon.tl.types import InputChannel
def get_tel... | kleros/kleros-airdrop | tools/telegram.py | telegram.py | py | 2,133 | python | en | code | 4 | github-code | 21 | [
{
"api_name": "config.config",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "config.config",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "config.config",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "telethon.TelegramClient",
... |
23971268273 | #!/usr/bin/env python3
from person import Person
from numba import njit
from time import perf_counter as pf
import matplotlib
import matplotlib.pyplot as pp
def fib_python(n):
if n <= 1:
return n
else:
return(fib_python(n-1) + fib_python(n-2))
@njit
def fib_python_numba(n):
if n <= 1:
return n
else:
retu... | olofjardfelt/prog2 | MA4/MA4_Files/MA4_2.py | MA4_2.py | py | 3,008 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "numba.njit",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "person.Person",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "person.Person",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "time.perf_counter",
"line_... |
29747715186 | #!/usr/bin/env python
# -*- coding: cp1252 -*-
# ============================================================================
# Project Name : iTrade
# Module Name : itrade_import_yahoo_japan.py
#
# Description: Import quotes from http://quote.yahoo.co.jp/
#
# The Original Code is iTrade code (http://itrade.so... | eternallyBaffled/itrade | ext/itrade_import_yahoo_japan.py | itrade_import_yahoo_japan.py | py | 11,502 | python | en | code | 5 | github-code | 21 | [
{
"api_name": "itrade_logging.debug",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "itrade_connection.ITradeConnection",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "itrade_config.proxyHostname",
"line_number": 66,
"usage_type": "attribute"
},
... |
70373125174 | import requests
import time
import json
from datetime import datetime
import colorama
from colorama import Fore
colorama.init()
def fetch_comments(article_id: int, user_id: int):
url = 'https://sspai.com/api/v1/comment/user/article/hot/page/get'
params = {'limit': 10, 'offset': 0, 'article_id': article_id, 'u... | chengluyu/crawlers | sspai/sspai.py | sspai.py | py | 2,041 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "colorama.init",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number"... |
6613889864 | import librosa
import os
import _pickle as pickle
import imageio
imageio.plugins.ffmpeg.download()
import moviepy.editor as MovieEditor
import opinion.database.db as db
from bson.binary import Binary
from pathlib import Path
from pydub import AudioSegment
video_directory = '../data/videos/'
mp4_extension = '.mp4'
mp3... | diegosst/opinion-mining | src/extraction/audio.py | audio.py | py | 4,418 | python | en | code | 2 | github-code | 21 | [
{
"api_name": "imageio.plugins.ffmpeg.download",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "imageio.plugins",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pathlib.... |
9204679966 | from sklearn.ensemble import RandomForestClassifier
from sklearn.calibration import CalibratedClassifierCV
def get_model(params, name, calibration=None, X=None, y=None):
base_model = RandomForestClassifier(**params)
if not calibration:
model = base_model
else:
model = CalibratedClassifierCV... | Villux/world_cup | models/one_vs_all_model.py | one_vs_all_model.py | py | 1,859 | python | en | code | 0 | github-code | 21 | [
{
"api_name": "sklearn.ensemble.RandomForestClassifier",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sklearn.calibration.CalibratedClassifierCV",
"line_number": 9,
"usage_type": "call"
}
] |
73030670133 | """Implements the xonsh executer"""
import re
import os
import types
import inspect
import builtins
from collections import Iterable, Sequence, Mapping
from xonsh import ast
from xonsh.parser import Parser
from xonsh.tools import subproc_toks
from xonsh.built_ins import load_builtins, unload_builtins
class Execer(ob... | LiuFang816/SALSTM_py_data | python/donnemartin_gitsome/gitsome-master/xonsh/execer.py | execer.py | py | 8,496 | python | en | code | 9 | github-code | 21 | [
{
"api_name": "xonsh.parser.Parser",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "xonsh.ast.CtxAwareTransformer",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "xonsh.ast",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "xonsh.bui... |
70346454454 | #!/usr/bin/env python
"""The setup script."""
from setuptools import setup, find_packages
with open('README.md') as readme_file:
readme = readme_file.read()
requirements = [ ]
test_requirements = [ ]
setup(
author="Themi Megas",
author_email='tcm4760@gmail.com',
python_requires='>=3.8',
classi... | Themis3000/lazy_db | setup.py | setup.py | py | 1,206 | python | en | code | 1 | github-code | 21 | [
{
"api_name": "setuptools.setup",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 36,
"usage_type": "call"
}
] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.