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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
43395551195 | #ncat listener to open a socket and get the words
from pyspark.sql import SparkSession
from pyspark.sql.functions import expr
if __name__ == "__main__":
spark = SparkSession \
.builder \
.appName("streaming word count") \
.config("spark.streaming.stopGracefullyOnShutdown","true") \
... | pchavan14/spark-structured-streaming | spark_word_count.py | spark_word_count.py | py | 1,411 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pyspark.sql.SparkSession.builder.appName",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.SparkSession",
"line_number": 7,
"usage_type": "... |
71426681000 | # This Python 3 environment comes with many helpful analytics libraries installed
# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python
# For example, here's several helpful packages to load in
import numpy as np # linear algebra
import pandas as pd # data processing, CSV fil... | aorursy/new-nb-3 | fraserew_fork-of-covid-week-3-lstm.py | fraserew_fork-of-covid-week-3-lstm.py | py | 7,858 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.walk",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number"... |
71427314600 | # This Python 3 environment comes with many helpful analytics libraries install
# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python
# For example, here's several helpful packages to load in
import numpy as np # linear algebra
import pandas as pd # data processing, CSV file ... | aorursy/new-nb-3 | ignotus09_house-price-prediction.py | ignotus09_house-price-prediction.py | py | 7,636 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.listdir",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "numpy.int64",
"line_nu... |
30794923903 | import argparse
import socket
def scan_port(host, port):
# Create a socket object
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
sock.settimeout(1)
# Connect to the server
result = sock.connect_ex((host, port))
# Close the socket
sock.close()
return result == 0
# Parse com... | philocypher/Port-Scanner | port_scanner.py | port_scanner.py | py | 933 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "socket.socket",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_STREAM",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "argparse.Argum... |
29136073603 | """empty message
Revision ID: 757b49c77662
Revises: 6af3389a2870
Create Date: 2018-12-03 11:40:36.775188
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '757b49c77662'
down_revision = '6af3389a2870'
branch_labels = None
depends_on = None
def upgrade():
# ... | ochi96/biashara-hub | migrations/versions/757b49c77662_.py | 757b49c77662_.py | py | 678 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "alembic.op.create_index",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "alembic.op.f",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op.drop_index... |
7213853975 | from models.rnn import Zhang
import utils.functions as f
import numpy as np
import cupy as cp
import matplotlib.pyplot as plt
from models.runner import test
from utils.visualize import calc_ratemap, plot_ratemap
dim = 1
B = 100
T = 1000
joystick = False
visualize = True
# env and agent
if dim == 1:
from envs.env... | liuyuezhang/nsi | cann.py | cann.py | py | 2,668 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "envs.env.Env",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "envs.agent.GaussMomentumAgent",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "envs.arena.A... |
8485110388 | """Upload img in Blog
Revision ID: c2c7704dbc13
Revises: d1add5e3e65e
Create Date: 2017-06-27 10:41:26.856029
"""
# revision identifiers, used by Alembic.
revision = 'c2c7704dbc13'
down_revision = 'd1add5e3e65e'
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects.postgresql import JSON
field = ... | Scifabric/pybossa | alembic/versions/c2c7704dbc13_upload_img_in_blog.py | c2c7704dbc13_upload_img_in_blog.py | py | 559 | python | en | code | 730 | github-code | 18 | [
{
"api_name": "alembic.op.add_column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.String"... |
28316312342 | from helpers.http_wrapper import https_get
from helpers.payload import Payload
import json
import time
import logging
URL_TEMPLATE = "https://graph.microsoft.com/v1.0/me/drive/root:{0}:/children"
RETRY_WAIT = 5 #In case of potentially recoverable error the time lapse between tries
## This will list all the files
def... | hugomcruz/onedrive-simple-sdk-python | src/operations/list.py | list.py | py | 4,875 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "logging.debug",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.debug",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "helpers.http_wrapper.https_get",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "logging.de... |
34907915148 | import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--input_pdb', metavar='PATH', default=None,
help='initialize first 2 GNN layers with pretrained weights')
parser.add_argument('--output_pt', metavar='PATH', default=None,
help='evaluate a trained mod... | iobio-zjut/PAthreader | PAthreader_main/Run_file/Read_SS.py | Read_SS.py | py | 1,276 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "numpy.set_printoptions",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.inf",
"line_number": 15,
"usage_type": "attribute"
}
] |
3138154350 | import requests
from flask import Flask, render_template, request
from bs4 import BeautifulSoup
"""
When you try to scrape reddit make sure to send the 'headers' on your request.
Reddit blocks scrappers so we have to include these headers to make reddit think
that we are a normal computer and not a python script.
How ... | RainDrop-100603/JustStudy | study/nomad-coder/python-web_scarpper/challenge/chg11-12/main.py | main.py | py | 2,508 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
... |
15814561386 | from __future__ import annotations
from collections.abc import Callable
from dataclasses import dataclass
import logging
from typing import Final
from homeassistant.components.binary_sensor import (
BinarySensorDeviceClass,
BinarySensorEntity,
BinarySensorEntityDescription,
)
from homeassistant.config_ent... | BHSPitMonkey/homeassistant-garmin-mapshare | custom_components/garmin_mapshare/binary_sensor.py | binary_sensor.py | py | 3,233 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "homeassistant.components.binary_sensor.BinarySensorEntityDescription",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "collections.abc.Callable",
"line_number": 28,
"usa... |
32020302462 | import platform
from configparser import ConfigParser
import os
from os.path import dirname, abspath
# Settings
parser = ConfigParser()
fileConfig = os.path.join(dirname(abspath(__file__)), "settings.ini")
parser.read(fileConfig)
ffmpegConf = parser["GENERAL"]["ffmpeg"]
DemConf = parser["GENERAL"]["DTM_fil... | All4Gis/QGISFMV | code/QgsFmvConstants.py | QgsFmvConstants.py | py | 1,641 | python | en | code | 130 | github-code | 18 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
... |
42571364616 | import tabulator
import json
import re
from pathlib import Path
fp = re.compile('\w+', re.UNICODE)
def fingerprint(x):
return ''.join(fp.findall(x.upper()))
if __name__ == '__main__':
# How to get places.csv from a nominatim server?
# # kubectl exec -it nominatim-5d6889fd59-lxps7 -- su nominatim -c "psql... | hasadna/avid-covider | tools/process_places.py | process_places.py | py | 2,483 | python | en | code | 23 | github-code | 18 | [
{
"api_name": "re.compile",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "re.UNICODE",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "tabulator.Stream",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "tabulator.Stream",
"lin... |
20805711199 | import sys
import paho.mqtt.client as mqtt
import time
import threading
from Crypto.Cipher import AES
import base64
# https://www.itread01.com/content/1547711886.html
class prpcrypt():
def __init__(self, key):
self.key = key
self.mode = AES.MODE_CBC
def encrypt(self,... | Yukinarii/Wireless-Sensor-Network | Lab6/downlink/publish.py | publish.py | py | 1,702 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "Crypto.Cipher.AES.MODE_CBC",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "Crypto.Cipher.AES",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "Crypto.Cipher.AES.new",
"line_number": 20,
"usage_type": "call"
},
{
"api_name"... |
41944524670 | import warnings
import numpy
from ..utilities.extractParams import *
from datetime import datetime
def getSampleMetadataFromWatersRawFiles(rawDataPath):
"""
Get acquisition metadata from Waters RAW files and returns them as a dataframe
:param str rawDataPath: Path to folder of raw data
"""
# Get the paramters a... | vallywu/Study3 | nPYc-Toolbox-master_small molecules/nPYc/utilities/_getMetadataFromWatersRaw.py | _getMetadataFromWatersRaw.py | py | 1,560 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.nan",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "warnings.... |
28418744849 | from django.db import models
from django.utils.translation import gettext_lazy as _
from django.contrib.auth.models import AbstractUser
# custom user model
class User(AbstractUser):
first_name = models.CharField(
_("first name"),
max_length=30,
)
last_name = models.CharField(
_("... | paulgirmes/P13 | frontpage/models.py | models.py | py | 2,506 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.contrib.auth.models.AbstractUser",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.db.models",
"line_number": 10,
"usage_type": "name"
},
{
... |
26652628039 | import numpy as np
import tensorflow as tf
import random
import time
from sklearn.metrics import confusion_matrix
from models.CNNModels import Net
from utils import log, extract_minibatch
from config.config import DEFAULT_LOG_ENV, NB_OF_EPOCHS_FOR_BAYESIAN
def train_model(X, Y, valX, valY,
net: Net,
... | echo5india/DeepLearningAllocationCNN | models/training.py | training.py | py | 8,756 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "models.CNNModels.Net",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.dot",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "tensorflow.reset_default_g... |
25101302259 | #!/usr/bin/python3
import glob, hashlib, json, yaml
bishop_working_dict = {"all": []}
wordlist_working_dict = {"all": []}
files = glob.glob("./sources/**/*.yml", recursive=True)
def bishop_append(title, entry, source_class):
global bishop_working_dict
# allow for unvalidate-able sources to be added to word... | tweedge/websights | compile.py | compile.py | py | 2,551 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "glob.glob",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "hashlib.md5",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "yaml.safe_load",
"line_number": 6... |
22098815815 | import json
from typing import Sequence
from telegram import Update, InlineKeyboardButton, InlineKeyboardMarkup, ReplyKeyboardRemove, ReplyKeyboardMarkup
from telegram.ext import ContextTypes, CallbackContext, ConversationHandler, CommandHandler, CallbackQueryHandler, MessageHandler, filters
from Constants.NumericCon... | leonardof02/guagua-uci-pr | Controllers/ReservationController/ReservationController.py | ReservationController.py | py | 6,959 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "telegram.Update",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "telegram.ext.ContextTypes.DEFAULT_TYPE",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "telegram.ext.ContextTypes",
"line_number": 20,
"usage_type": "name"
},
{
... |
40254881873 | # vizualizace vzorkovaci frekvence
import numpy as np
import matplotlib.pyplot as plt
# vytvoreni datovych vektoru
x = np.linspace(0, 10 * np.pi, 1000)
y = np.sin(x)
# pole nasobku pi pro upraveni f_vz
consts = [2.1, 1, 0.2]
# smycka pro vypocet a vykresleni 3 datovych rad
for i in range(3):
f_x = []
f_y = [... | pavelkulich/vut_python | 200401_microgeometry/aliasing.py | aliasing.py | py | 946 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.linspace",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "numpy.sin",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.max",
"line_number": 20... |
24469816616 | from flask import Flask,redirect,url_for,render_template,request
import numpy as np
import pickle
import sklearn
import os
file_path = 'amit.pkl'
if os.path.isfile(file_path):
print("File exists")
else:
print("File does not exist")
model = pickle.load(open('amit.pkl', 'rb'))
app = Flask(__name__)
@app.... | yuvraj-solanki-2406/cure-for-sure | ml-devprohets/app.py | app.py | py | 936 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.isfile",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pickle.load",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number"... |
39121165405 | try:
import os
import json
import glob
import argparse
import random
import numpy as np
from scipy import signal as sg
from scipy.ndimage.filters import maximum_filter
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import scipy.misc
from PI... | channamakover/Mobileye-Project | part_2.py | part_2.py | py | 3,624 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "random.sample",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": ... |
23087560183 | import sys
import numpy as np
import matplotlib.pyplot as matplot
def main():
user_input = sys.stdin.read()
global MEM
global PC
global EE
global RF
global x_list
global y_list
global cycle
x_list = []
y_list = []
cycle=0
# Memory contains (code + variables)
... | prakhar20394/Assembler_Simulator | SimpleSimulator/main.py | main.py | py | 16,490 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.stdin.read",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.scatter",
"line_number": 667,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyp... |
8254410704 | import pandas
import matplotlib.pyplot as plt
import numpy as np
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
import time
# 1 Загрузите набор данных ex1data1.txt из текстового файла.
dataFrame = pandas.read_csv("ex1data1.txt", header=None, names=["population", "incomes"])
print(dataFram... | zhyshkevich/ml | zhyshkevich_858341_ml_labs/lab1/lab1.py | lab1.py | py | 11,430 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.show",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "numpy.array"... |
18463342509 | import matplotlib.pyplot as plt
import numpy as np
def check(B, y, x):
#если мы в пределах картинки и в соседе объект, то возвращаем True
if not 0 <= x < B.shape[1]:
return False
if not 0 <= y < B.shape[0]:
return False
if B[y, x] != 0:
return True
return False
def neighbo... | L140-beep/two_pass | in.py | in.py | py | 4,298 | python | ru | code | 0 | github-code | 18 | [
{
"api_name": "numpy.zeros",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "numpy.zeros_like",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_numb... |
22746704832 | import numpy as np
import matplotlib.pyplot as plt
import matplotlib
LW = 3
MS = 8
FS = 22
lightGray = "#D0D0D0"
lightOrange = '#FFC29B'
matplotlib.rcParams['axes.linewidth'] = 3.5 #set the value globally
targ_dir = ['211123_lstm_tskone_direct_0_05hu_lr2.00e-2','211123_lstm_tskone_context_0_05hu_lr9.00e-4']
ccs = []
... | liukts/tskone-eeg | plot_data.py | plot_data.py | py | 504 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.rcParams",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "numpy.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "matplotlib... |
10160703320 | import numpy as np
import pyaudio
# Set up the audio stream
p = pyaudio.PyAudio()
stream = p.open(format=pyaudio.paFloat32,
channels=1,
rate=44100,
output=True)
# Define the pentatonic scale frequencies
pentatonic_scale = [261.63, 293.66, 329.63, 392.00, 440.00, 523.25]... | adamstirtan/pypentatonic | pentatonic.py | pentatonic.py | py | 691 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pyaudio.PyAudio",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pyaudio.paFloat32",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "numpy.linspace",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"... |
27249022564 | import os
import shutil
import unittest
from http.server import HTTPServer
from threading import Thread
from tests.sandbox_server import RequestHandler
from sitemap_generator.crawler import SitemapGenerator
from tests.variables import host, port, expected_sitemap
class TestCase(unittest.TestCase):
def setUp(se... | eteamin/sitemap-generator | tests/test_crawler.py | test_crawler.py | py | 1,221 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "unittest.TestCase",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "threading.Thread",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "tests.variables.host",
"line_number": 18,
"usage_type": "argument"
},
{
"api_name": "test... |
33269538294 | import os
import cv2
import math
import operator
import numpy as np
import pandas as pd
from matplotlib import image
from numpy.random import randint
# GLCM libs
from skimage.feature import greycoprops
from skimage.feature import greycomatrix
from sklearn.model_selection import StratifiedShuffleSplit
from sklearn.sv... | marcin-jasinski/uczenie_maszyn | um_svm.py | um_svm.py | py | 6,274 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sklearn.metrics.f1_score",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "imblearn.metrics.geometric_mean_score",
"line_number": 30,
"usage_type": "call"
},
{
"ap... |
34544915714 | import argparse
import cv2
from matplotlib import pyplot as plt
ap = argparse.ArgumentParser()
ap.add_argument("-i", "--image", required=True,
help="input image's path")
args = vars(ap.parse_args())
# load the image
image = cv2.imread(args["image"])
# convert to grayscale
gray = cv2.cvtColor(image,... | appknox/imager | imager.py | imager.py | py | 1,512 | python | en | code | 8 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
... |
37619020889 | from flask import Flask, render_template,request
import socket
app = Flask(__name__)
@app.route('/')
def mainfunc():
hostName = socket.gethostname()
return render_template('response.html', hostname=hostName, content_type='application/json')
if __name__ == '__main__':
app.run(host='0.0.0.0', debug=... | saadnaeem-dev/Haproxy-Docker-Flask-Application | flaskApp.py | flaskApp.py | py | 325 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "socket.gethostname",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 13,
"usage_type": "call"
}
] |
18825309080 | import json
# define the username of the user whose visits we want to increment
def update_user_in_file(username):
# read the data from the file
with open('./data/users.json', 'r') as f:
users = json.load(f)
# find the user in the list
for user in users:
if user["username"] == userna... | Daniel-Modilevsky/devops_practice_ex | utils/utils.py | utils.py | py | 638 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "json.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 20,
"usage_type": "call"
}
] |
19640537622 | from typing import Dict, Optional, Tuple
import torch
from transformers import TransfoXLLMHeadModel
from archai.nlp.models.hf_transfo_xl.config_hf_transfo_xl import HfTransfoXLConfig
from archai.nlp.models.model_base import ArchaiModel
class HfTransfoXL(ArchaiModel):
"""Huggingface's Transformer-XL standard arc... | Dhruvi-Lodhavia/ECE226-Project | archai/nlp/models/hf_transfo_xl/model_hf_transfo_xl.py | model_hf_transfo_xl.py | py | 2,740 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "archai.nlp.models.model_base.ArchaiModel",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "archai.nlp.models.hf_transfo_xl.config_hf_transfo_xl.HfTransfoXLConfig",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "transformers.TransfoXLLMHeadModel... |
13915077233 | import requests
import json
def scrape_func(term,offset,limit):
api_url = f"https://api.yelp.com/v3/businesses/search?term={term}&location=manhattan&limit={limit}&offset={offset}"
payload={}
headers = {
'Authorization': '<api-key>'
}
response = requests.request("GET", api_url, headers=headers... | ramanarayanan-98/cloud-aws-assignment1 | other_utilities/scrape-yelp-restaurants.py | scrape-yelp-restaurants.py | py | 1,263 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.request",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": ... |
24206011004 | import logging
__author__ = "Miguel Angel Muñoz González (magonzalez at fortinet.com)"
__copyright__ = "Copyright 2018, Fortinet, Inc."
__credits__ = "Miguel Angel Muñoz"
__license__ = "Apache 2.0"
__version__ = "0.6"
__maintainer__ = "Miguel Ángel Muñoz"
__email__ = "magonzalez at fortinet.com"
__status__ = "Developm... | fortinet-solutions-cse/netconf-rest | yang2rest/yang2restconverter.py | yang2restconverter.py | py | 4,992 | python | en | code | 6 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
}
] |
24703287094 | ############################################
#author : Debajyoti0-0
#version: 1.0.0
#Github : https://github.com/Debajyoti0-0/
############################################
import nmap
import requests
import os
import socket
import subprocess
from urllib.pars... | Debajyoti0-0/Brahmastra | Brahmastra.py | Brahmastra.py | py | 24,262 | python | en | code | 6 | github-code | 18 | [
{
"api_name": "os.system",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "banner.banner",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "colorizor.COLOR.YELLOW",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "colorizor.COLOR",... |
10434755233 | import pdb
import shutil
import argparse
from glob import glob
from tqdm import tqdm
from typing import Tuple
from copy import deepcopy
from collections import OrderedDict
from multiprocessing.pool import Pool
import numpy as np
import nibabel as nib
import SimpleITK as sitk
import scipy.stats as ss
from skimage impor... | Tabrisrei/ISLES22_SEALS | recover_softmax.py | recover_softmax.py | py | 5,622 | python | en | code | 6 | github-code | 18 | [
{
"api_name": "glob.glob",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "SimpleITK.sitkLinear",
"line_number... |
12177783769 | # https://leetcode.com/problems/majority-element/submissions/
from collections import defaultdict
class Solution:
def majorityElement(self, nums: List[int]) -> int:
cache = defaultdict(lambda: 0)
for x in nums:
cache[x] += 1
if cache[x] > len(nums) / 2:
retu... | mathurk29/leetcode | array/majority-element.py | majority-element.py | py | 485 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.defaultdict",
"line_number": 7,
"usage_type": "call"
}
] |
10321726720 | """Handles communication on the backend side between frontend and backend
Please keep this file Python 2.7 compatible.
See https://tox.readthedocs.io/en/rewrite/development.html#code-style-guide
"""
from __future__ import print_function
import importlib
import json
import os
import sys
import traceback
class Missin... | tox-dev/pyproject-api | src/pyproject_api/_backend.py | _backend.py | py | 4,666 | python | en | code | 19 | github-code | 18 | [
{
"api_name": "importlib.import_module",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sys.stderr.flush",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"line_number": 55,
"usage_type": "attribute"
},
{
"api_name": "sys.stdout.f... |
34541039420 | from tkinter import *
from selenium import *
from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.chrome.webdriver import WebDriver
from selenium.webdriver.common.keys import Keys
import time
from plyer import notification
root = Tk()
root.title("Ani... | pxlymxrph/Animedoro | animedoro.py | animedoro.py | py | 2,052 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "time.time",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "plyer.notifica... |
18697875712 | import collections
class Solution:
def maxSlidingWindow(self, nums: List[int], k: int) -> List[int]:
if not nums or k == 0:
return []
deque = collections.deque()
# 形成窗口前（无需删除左端元素）
for i in range(k):
# 维护单调队列的递减性
while deque and deque[-1] < nums[i]... | HiHarryOvO/leetCode | Offer 59 - I. 滑动窗口的最大值.py | Offer 59 - I. 滑动窗口的最大值.py | py | 875 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.deque",
"line_number": 7,
"usage_type": "call"
}
] |
35982556790 | import numpy as np
import matplotlib.pyplot as plt
N=100
dt=0.1
##stanje [q,p]
def kin(stanje,koef):
return np.array([stanje[0]+stanje[1]*dt*koef,stanje[1]])
def pot(stanje,koef):
return np.array([stanje[0],stanje[1]-stanje[0]*dt*koef])
def s2(stanje):
a1=0.5
stanje = kin(stanje,a1)
# stanje=... | rahneklemen/vrm | 02/1del/01.py | 01.py | py | 1,210 | python | sh | code | 1 | github-code | 18 | [
{
"api_name": "numpy.array",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": ... |
26988073560 | import sys, os
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))+"/src")
import networkx as nx
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
import pandas as pd
from sklearn.linear_model import LogisticRegression
import scipy.sparse as sp
from models import Snore
f... | smeznar/ontology-completion-with-graph-learners | examples/global_explanation.py | global_explanation.py | py | 2,292 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
24230430825 | import subprocess
import sys
import json
from tqdm import tqdm
from multiprocessing import Pool
# print("Installing necessary libs..")
# # Install nltk
# subprocess.check_call([sys.executable, "-m", "pip", "install", "nltk"])
# # Install pymystem3
# subprocess.check_call([sys.executable, "-m", "pip", "install", "pymys... | Baltsat/users-rosatom | processing.py | processing.py | py | 3,365 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "pymystem3.Mystem",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "re.UNICODE",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "nltk.corpus.stopwords.wor... |
8394877124 | # -*- coding: utf-8 -*-
"""
Created on Wed Aug 5 16:29:29 2020
@author: kylab
"""
import pandas as pd
import numpy as np
from datetime import datetime
class SA_report():
def __init__(self):
self.Total_Record_time=0
self.Record_start=''
self.Record_end=''
self.baseline=0
... | wenhaohsu/undergrade | py_osa_screening-master/SA_estimate.py | SA_estimate.py | py | 7,341 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.ExcelFile",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 65,
"usage_type": "name"
},
{
"api_name": "pandas.... |
74604336681 | from selenium import webdriver
from urllib.request import urlretrieve
import requests
from lxml import etree
from time import sleep
import random
import string
options = webdriver.ChromeOptions()
options.add_argument('headless')
driver = webdriver.Chrome(chrome_options=options)
driver.implicitly_wait(10)
headers =... | xietalent/work_code | test/15xigua.py | 15xigua.py | py | 1,506 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 12,
"usage_type": "call"
},
{
"api_n... |
43987719631 | # -*- coding: utf-8 -*-
from player.parser import *
from player.player import *
from base.configuration_parser import *
from r2a.ir2a import IR2A
import timeit
import http.client
class R2ASara(IR2A):
def __init__(self, id):
IR2A.__init__(self, id)
self.parsed_mpd : mpd_node = ''
... | maldisco/ABR_Sara | r2asara.py | r2asara.py | py | 6,523 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "r2a.ir2a.IR2A",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "r2a.ir2a.IR2A.__init__",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "r2a.ir2a.IR2A",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "http.client.client.... |
6691275744 | import socket
import struct
from collections import defaultdict
from conf.const import MAX_TCP_CONNS, UDP_BROADCAST_ADDR
def ip2int(addr):
return struct.unpack("!I", socket.inet_aton(addr))[0]
def int2ip(addr):
return socket.inet_ntoa(struct.pack("!I", addr))
def id2str(conn_id):
#return int2ip(conn_id ... | NetSys/scl | lib/socket_utils.py | socket_utils.py | py | 9,476 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "struct.unpack",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "socket.inet_aton",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "socket.inet_ntoa",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "struct.pack",
"line... |
5866476013 | from tensorflow.keras.preprocessing.image import ImageDataGenerator
import numpy as np
import pandas as pd
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Conv2D, Flatten
from tensorflow.keras.callbacks import EarlyStopping
from sklearn.metrics import accuracy_score
from tensor... | mkim9002/AIA | keras/keras58_9_dog_breed1_flow_save_npy.py | keras58_9_dog_breed1_flow_save_npy.py | py | 2,250 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "tensorflow.keras.preprocessing.image.ImageDataGenerator",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.preprocessing.image.ImageDataGenerator",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_tes... |
71926640041 | import pymysql
import time
def ConnectToDB():
return pymysql.connect(
host='127.0.0.1',
user='root',
password='passwd17',
port=3306,
db='NFL',
local_infile=1
)
def getTable(fname):
temp = fname.split('/')
temp1 = temp[-1]
temp = temp1.split('.')
... | Ivan-Nieto/CS482Project | DatabaseMethods.py | DatabaseMethods.py | py | 6,816 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pymysql.connect",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 56,... |
20958852993 | #!/usr/bin/env python
"""
celcombiller AGI:
* Consult the user balance and authorize a call
* Save the call CDRs
* Update the user balance
"""
# pylint: disable=C0103
from datetime import datetime
import asterisk.agi
from asterisk.agi import AGIAppError
from models import session, User, CDR
agi = asterisk.... | pedosb/celcombiller | celcombiller.py | celcombiller.py | py | 1,059 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "asterisk.agi.agi.AGI",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "asterisk.agi.agi",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "asterisk.agi",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "models.sessio... |
33078828054 | from __future__ import absolute_import
from rest_framework.response import Response
from sentry import integrations
from sentry.api.bases.organization import OrganizationEndpoint
from sentry.api.serializers import serialize, IntegrationProviderSerializer
from sentry import features
from django.conf import settings
... | fictional-tribble-2/getsentry--sentry | src/sentry/api/endpoints/organization_config_integrations.py | organization_config_integrations.py | py | 1,924 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "sentry.api.bases.organization.OrganizationEndpoint",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "sentry.features.has",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sentry.features",
"line_number": 15,
"usage_type": "name"
},
{... |
24880039092 | from thop import profile
from thop import clever_format
from torch import nn
import torch
import torch.nn.functional as F
class VIT(nn.Module):
""" the full GPT language models, with a context size of block_size """
def __init__(self, d_model, h=8, block_exp=4,
n_layer=8, vert_an... | diadestiny/DGT-Faster-RCNN | derain/utils/cal_net_param_flops.py | cal_net_param_flops.py | py | 6,904 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "torch.nn.Parameter",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
43331789949 | from django.urls import path
from .views import sudoku_list_view, sudoku_detail_view, home_view, about_view
app_name = 'posts'
urlpatterns = [
path('home/', home_view, name='home'),
path('listall/', sudoku_list_view, name='list'),
path('detail/<uuid:pk>/', sudoku_detail_view, name='detail'),
path('ab... | mayavy/sudoku | posts/urls.py | urls.py | py | 355 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "views.home_view",
"line_number": 8,
"usage_type": "argument"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "views.sudoku_list_... |
74608241640 | from django.shortcuts import render, get_object_or_404
# Logic operation OR in queries
from django.db.models import Q
# Paginator Functionality
from django.core.paginator import EmptyPage, PageNotAnInteger, Paginator
# Local Models
from .models import Product
# External Models
from applications.category.models import C... | kgarmtz/Django-Ecommerce | applications/store/views.py | views.py | py | 3,783 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.shortcuts.get_object_or_404",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "applications.category.models.Category",
"line_number": 23,
"usage_type": "argument"
},
{
"api_name": "models.Product.objects.filter",
"line_number": 25,
"usage_ty... |
70645606761 | # coding: utf-8
import numpy as np
import cv2
import os
import random
def motion_blur(image, degree=20, angle=45):
image = np.array(image)
# 这里生成任意角度的运动模糊kernel的矩阵， degree越大，模糊程度越高
M = cv2.getRotationMatrix2D((degree / 2, degree / 2), angle, 1)
motion_blur_kernel = np.diag(np.ones(degree))
... | huangxiao1234/Cascade-Att-DetNet | add_movingNoise.py | add_movingNoise.py | py | 1,155 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.array",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.getRotationMatrix2D",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.diag",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_... |
33237559744 | import re
import os
import sqlite3
import pyttsx3
import subprocess
import speech_recognition as sr
from scrapy.crawler import CrawlerProcess
from required_data.corona_cases.corona.corona.spiders.corona_crawler import CoronaCases
def text_to_speech(text):
engine = pyttsx3.init()
engine.say(text)
... | RaswanthUtham/COVID-19-APP | app/main.py | main.py | py | 5,447 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pyttsx3.init",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "speech_recognition.Recognizer",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "speech_recognition.Microphone",
"line_number": 19,
"usage_type": "call"
},
{
"api_name... |
11033844965 | #!/Users/fynn/.pyenv/eth/bin/python
import sys
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
def get_moves_per_partition(latencies_path):
moves_per_partition = {'1': {}}
with open(latencies_path, 'r') as f:
for line in f:
line = line.split()
if line[1] ==... | enriquefynn/move-protocol | burrow-client/logs-processing/plot_tp_synth.py | plot_tp_synth.py | py | 7,007 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 73,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.ylim",
"line_number": 87,
"usage_type": "call"
},
{
"api_name": "m... |
14101386459 | import datetime
# 获取今天日期
n_days = datetime.datetime.now()
print(n_days)
while True:
# 从今天起往前减一天循环
n_days -= datetime.timedelta(days=1)
# 获得格式化的时间
str_time = n_days.strftime('%Y%m%d')
# 判断数字是否有重复
if len(set(str_time)) == 8:
print(str_time)
break
| Florapie/green-hand | ex_specialBirthday.py | ex_specialBirthday.py | py | 353 | python | zh | code | 0 | github-code | 18 | [
{
"api_name": "datetime.datetime.now",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "datetime.timedelta",
"line_number": 7,
"usage_type": "call"
}
] |
14381044238 | #!/usr/bin/env python
"""
setup.py file for SWIG
"""
from setuptools import setup
from setuptools.command.build_ext import build_ext
from distutils.core import setup, Extension
class BuildExt(build_ext):
def build_extensions(self):
super(BuildExt, self).build_extensions()
test_module = Extensi... | kkhuang81/NIGCN | src/swig_setup.py | swig_setup.py | py | 900 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "setuptools.command.build_ext.build_ext",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "distutils.core.Extension",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "distutils.core.setup",
"line_number": 19,
"usage_type": "call"
}
] |
70406850601 | from django.urls import path, re_path
from django.contrib.auth.decorators import login_required # 用于判断用户是否登录的方法
from apps.user.views import RegisterView, ActivateView, LoginView, UserInfoView, UserOrderView, AddressView, LogoutView
urlpatterns = [
path('register', RegisterView.as_view(), name="register"), # 注册... | RyanLin1995/python | django/dailyfresh/apps/user/urls.py | urls.py | py | 1,734 | python | zh | code | 0 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "apps.user.views.RegisterView.as_view",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "apps.user.views.RegisterView",
"line_number": 8,
"usage_type": "name"
},
{
"a... |
14170016505 | from collections import namedtuple
import csv
from parsers import * #importa todas las bibliotecas de parsers
contenido = namedtuple("contenido","type,title,director,country,co_production,date_added,release_year,duration,description")
#type;title;director;country;co_production;date_added;release_year;duration;descript... | tomcrufer/proyecto-de-lectura-del-csv | src/plataforma.py | plataforma.py | py | 1,089 | python | es | code | 0 | github-code | 18 | [
{
"api_name": "collections.namedtuple",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 10,
"usage_type": "call"
}
] |
13423538745 | """This programe checks whether the input function is continuous at a given point."""
from sympy import Symbol, Limit, sympify, S
from sympy.core.sympify import SympifyError
def is_continuous(f, var, value):
"""Checks whether a function is continuous at a point."""
var = Symbol(var)
right_limit = Limit(f, var, va... | JullyH0506/Little_programs | Continuous_function.py | Continuous_function.py | py | 1,091 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sympy.Symbol",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sympy.Limit",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sympy.Limit",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sympy.S.Infinity",
"line_numb... |
17551811876 | from django.views.decorators.csrf import csrf_exempt
from django.utils.decorators import method_decorator
# Layers
from ..base_controller import BaseController
from src.routes.alarm.alarm_service import AlarmService
# Modules
from src.modules.factory.dto_factory import DtoFactory
# Middleware
from src.common.middlew... | MyRefrigerator/server | src/routes/alarm/expired_ingredient_alarm_controller.py | expired_ingredient_alarm_controller.py | py | 1,322 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "base_controller.BaseController",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "src.modules.factory.dto_factory.DtoFactory",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "src.routes.alarm.alarm_service.AlarmService",
"line_number": 21,
... |
15952787110 | import pathlib
class Orbit:
def __init__(self, name, count, parent):
self.name = name
self.count = count
self.parent = parent
self.orbiters = []
self.visited = False
self.dist = 0
print('Orbit', name)
def add_orbiter(self, orbit):
print('add_or... | brothhaar/advent-of-code | 2019/aoc2019/day06/part1.py | part1.py | py | 2,109 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pathlib.Path",
"line_number": 65,
"usage_type": "call"
}
] |
74678341158 | from bs4 import BeautifulSoup
from prettytable import PrettyTable
import re
import locale
import sys
def execute(path):
locale.setlocale( locale.LC_ALL, 'en_US.UTF-8' )
team_id = path.split("/")[1] #assumes the caller of this is in cfb_parsers
soup = BeautifulSoup(open(path))
tbl = soup.find("table", {"class": ... | alexolsen03/CFB_Analyzer | python/cfb_parsers/parse_index.py | parse_index.py | py | 1,522 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "locale.setlocale",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "locale.LC_ALL",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "locale.atoi",
... |
72298285481 | import pygame
from Config import ANIMATIONSPEED, TRAPSPIKES, TRAPTEST
from colors import GREEN
from spriteSheet import loadSprites
class Platform (pygame.sprite.Sprite):
"""
Represents a platform in the game.
Args:
groups (list of pygame.sprite.Group): The groups to add the platform to.
... | MateoBarbato/Lab2Entrega | src/models/Platform.py | Platform.py | py | 3,492 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pygame.sprite",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pygame.Surface",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "pygame.SRCALPHA",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "pygame.time.get... |
13669455926 | #!/usr/bin/env python3
# _*_ coding: utf-8 _*_
import os
import numpy as np
from time import gmtime
from time import strftime
from scipy.io import wavfile
from python_speech_features import mfcc
# make a directory under dir_ if no directory exists for device_id_
# The created directory is dir_/device_i... | aimldl/python | code_samples-ML/ec2-oregon-lid_make_tfrecord/utils.py | utils.py | py | 2,099 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "time.strftime",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "time.gmtime",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 2... |
74873849000 | # imports
from os.path import join
from datetime import date, datetime
from argparse import ArgumentParser
# third party imports
import numpy as np
import torch
# project imports
from src import losses, models, datasets
from src.utils.io import DebugWriter, ResultsWriter, create_results_dir, ExperimentWriter, worker_... | acasamitjana/SynthByReg | scripts/Registration/Allen_labels/train.py | train.py | py | 4,622 | python | en | code | 7 | github-code | 18 | [
{
"api_name": "src.utils.io.DebugWriter",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "datetime.date.today",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "datetime.d... |
852961687 | import argparse
import os
from tlv.lexer import LEXERS
from tlv.tokens import TOKENS
RUNARGS = None
def ArgParser():
parser = argparse.ArgumentParser(
prog="tlv", description='Find code duplications across various languages')
parser.add_argument("--minlines", type=int, default=5,
... | priv-kweihmann/tlv | tlv/arg_parser.py | arg_parser.py | py | 2,136 | python | en | code | 9 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tlv.lexer.LEXERS",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "tlv.tokens.TOKENS",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "os.path.ab... |
73396060839 | from django.shortcuts import render
from overwatch import models
from django.shortcuts import render
from django.core.urlresolvers import reverse
from util import bbc_strip
from django.http import HttpResponse, HttpResponseBadRequest
import json
def label(request):
id, factbook, tags, embassies = _get_region()
nex... | chheisler/Northeastern-Classwork | cs5100/project/defender/overwatch/views.py | views.py | py | 1,581 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "django.core.urlresolvers.reverse",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponseBadRequest",
"line_number": 32,
"usage_type": "call"
}... |
13140768711 | import argparse
import concurrent.futures
import csv
import json
import logging
import sys
import time
from concurrent.futures import ALL_COMPLETED
from datetime import datetime
import lusid as lu
import pytz as pytz
from lusid.utilities import ApiClientFactory
def setup_logging():
root_logger = logging.getLogge... | rizwansaeed/lusid-parallel | main_thread.py | main_thread.py | py | 5,470 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "logging.StreamHandler",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sys.stdout"... |
31192129474 | """
Test for UserProfile model
"""
import random
import statistics
import pytz
from model_mommy import mommy
from rest_framework.authtoken.models import Token
from kaznet.apps.main.tests.base import MainTestBase
from kaznet.apps.users.models import UserProfile
from kaznet.apps.main.models import Submission
from kazne... | onaio/kaznet-web | kaznet/apps/users/tests/test_models.py | test_models.py | py | 10,059 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "kaznet.apps.main.tests.base.MainTestBase",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "model_mommy.mommy.make",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "model_mommy.mommy",
"line_number": 29,
"usage_type": "name"
},
{
... |
5441595967 | # -*- coding: utf-8 -*-
# @Time : 18-9-25 下午5:54
# @Author : Gold_py
# @Site :
# @File : AuthViews.py
# @Software: PyCharm
from django.http import HttpResponse
from django.shortcuts import render
from django.core.urlresolvers import reverse
from django.contrib.auth.models import User, Permission, Group
from ... | GITliyanfeng/phone-shop-django | myadmin/views/AuthViews.py | AuthViews.py | py | 5,943 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.shortcuts.render",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.authenticate",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.login",
"line_number": 28,
"usage_type": "call"
},
{
... |
39469100664 | import numpy as np
import zarr
import h5py
import voi
import rand
import iou
import sys
import glob
import os
from skimage import io, morphology, measure
import glob
import csv
#from matplotlib import pyplot as plt
from datetime import datetime
def evaluate(pred_folder, data_folder, dataset, output_folder, small_obje... | maisli/neurolight_experiments | flylight/04_evaluate/evaluate.py | evaluate.py | py | 4,244 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "h5py.File",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "glob.glob",
"line_number": 24... |
24626369235 | import json
filename="text_files/favorite_number.json"
try:
number=int(input("Write your favorite number: "))
except:
print("That's not a number!")
else:
with open(filename, 'w') as f:
json.dump(number, f) | Guillermo-Ramirez-Jimenez/Python-exercises | Chapter 10/favorite_number.py | favorite_number.py | py | 223 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "json.dump",
"line_number": 11,
"usage_type": "call"
}
] |
36658828080 | #! /usr/bin/env python3
# -*- coding: utf-8 -*-
""" Find publication title, DOI or PMID based on either the DOI or the PMID as the query term by using the Europe PMC API (http://europepmc.org/RestfulWebService#!/Europe32PMC32Articles32RESTful32API/search). """
__author__ = "Ray Stefancsik"
__version__ = "0.01"
####... | rays22/curation-tools | doi2pmid_interactive_EuropePMC.py | doi2pmid_interactive_EuropePMC.py | py | 3,073 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "argparse.RawTextHelpFormatter",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 50,
"usage_type": "call"
},
{
"api_name"... |
37424079275 | import hashlib
import cloudinary
import cloudinary.uploader
import cloudinary.api
from src.conf.config import settings
class CloudPicture:
cloudinary.config(
cloud_name=settings.cloudinary_name,
api_key=settings.cloudinary_api_key,
api_secret=settings.cloudinary_api_secret,
secur... | AleksandrRevuka/photoapp | src/services/cloud_picture.py | cloud_picture.py | py | 2,266 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cloudinary.config",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "src.conf.config.settings.cloudinary_name",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "src.conf.config.settings",
"line_number": 12,
"usage_type": "name"
},
... |
15380599990 | import os
from time import sleep
import discord
import random
TOKEN = os.environ['TOKEN']
PREFIX = ";"
client = discord.Client()
rare_crate_items = ["octane", "fennec", "takumi", "masamune", "jäger 619"]
paints = ["Titanium white ", "Burnt sienna ", "Crimson ", "Cobalt ", "Purple ", "Forest green ", "Pink ", "Grey ", "... | X0AM/RLDrop | old.py | old.py | py | 1,179 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.environ",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "discord.Client",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_num... |
37689743774 | import logging
from copr.v3 import Client as CoprClient
from packit_service.constants import (
COPR_API_FAIL_STATE,
COPR_API_SUCC_STATE,
COPR_SUCC_STATE,
)
from packit_service.models import CoprBuildModel
from packit_service.service.events import AbstractCoprBuildEvent, EventData, FedmsgTopic
from packit_... | RaiLokesh/packit-service | packit_service/worker/build/babysit.py | babysit.py | py | 2,707 | python | en | code | null | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "packit_service.models.CoprBuildModel.get_all_by_build_id",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "packit_service.models.CoprBuildModel",
"line_number": 28,
"usa... |
9054658706 | from os import PathLike
import random
from typing import Optional, List
import pytorch_lightning as pl
import torch
import torchmetrics
from clip.simple_tokenizer import SimpleTokenizer
from torch.nn.functional import cross_entropy
from pgn.lr_schedulers.cosine_with_warmup import CosineWithWarmup
from pgn.pgn_models.i... | jochemloedeman/PGN | pgn/lightning/pgn_dino.py | pgn_dino.py | py | 6,851 | python | en | code | 38 | github-code | 18 | [
{
"api_name": "pytorch_lightning.LightningModule",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "clip.simple_tokenizer.SimpleTokenizer",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "typing.Optional",
"line_number": 26,
"usage_type": "name"
... |
14370690506 | import pygame
import random
import animation
class Monster(animation.AnimateSprite):
def __init__(self, game, name, size, offset=0):
super().__init__(name, size)
self.game = game
self.velocity = 4
self.health = 78
self.max_health = 100
self.attack = 0.1
self.... | 0BAB1/training-pygame | monster.py | monster.py | py | 2,059 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "animation.AnimateSprite",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "rando... |
5746838337 | import pytest
from click.testing import CliRunner
import brain.server.__main__
import brain.server.mq_agent.rabbitmq_agent
import brain.server.parsers_agent
import brain.server.server
from brain.server.__main__ import cli
from brain.server.client_agent import load_client_agent
from brain.server.server import construct... | ntalmon/brain | tests/test_server.py | test_server.py | py | 2,364 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "data_generators.gen_snapshot_for_server",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "brain.server.__main__.server",
"line_number": 33,
"usage_type": "attribute"
... |
74098137641 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat May 12 18:17:24 2018
@author: vivekkalyanarangan
"""
# For Genrating test images
#from PIL import Image
#from keras.datasets import mnist
#import numpy as np
#
#(X_train, y_train), (X_test, y_test) = mnist.load_data()
#for i in np.random.randint(0, 100... | dazhigulov/Histopathological_classification_of_cancer_via_Deep_Learning | Web-app/img-reco-test.py | img-reco-test.py | py | 3,992 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tensorflow.ConfigProto",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "tensorflow.Session",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.backend.set_session",
"line_number": 44,
"usage_type": "call"
},
{
"ap... |
4339040385 | import sys
from cv2 import threshold
sys.path.append('core')
import argparse
import os
import cv2
import glob
import numpy as np
import torch
from PIL import Image
import matplotlib.pyplot as plt
from raft import RAFT
from utils import flow_viz
from utils.utils import InputPadder
DEVICE = 'cuda'
def load_image(i... | frankye1000/CV_Final_Project | RAFT/demo.py | demo.py | py | 3,564 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_nu... |
32273132869 | import tensorflow as tf
import numpy as np
from tensorflow.keras import layers
from tensorflow.keras import Model
from tensorflow.keras.preprocessing.image import ImageDataGenerator
from tensorflow.keras.optimizers import RMSprop
from tensorflow.keras.applications.inception_v3 import InceptionV3
import matplotlib.pyplo... | toushi100/Tensorfow-in-Practice | CNN coursera week3.py | CNN coursera week3.py | py | 3,525 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tensorflow.keras.applications.inception_v3.InceptionV3",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.layers.Flatten",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.layers",
"line_number": 25,
"usag... |
648731510 | from tensorflow.keras.preprocessing.image import ImageDataGenerator
from tensorflow.keras.layers import Conv2D, MaxPooling2D, Flatten, Dense, Dropout
from tensorflow.keras.models import Sequential
from tensorflow.keras.callbacks import EarlyStopping, ModelCheckpoint
import matplotlib.pyplot as plt
imgWidth = 256
imgHe... | reylio06/Weather_Project | CNN_Model.py | CNN_Model.py | py | 3,344 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tensorflow.keras.preprocessing.image.ImageDataGenerator",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.preprocessing.image.ImageDataGenerator",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.callbacks.EarlyS... |
17733849553 | #!/usr/bin/env python3
from http.server import BaseHTTPRequestHandler,HTTPServer
import argparse, os, random, sys, requests
from socketserver import ThreadingMixIn
import threading
hostname = 'en.wikipedia.org'
def merge_two_dicts(x, y):
return x | y
def set_header():
headers = {
'Host': hostname
... | MollardMichael/python-reverse-proxy | proxy.py | proxy.py | py | 3,720 | python | en | code | 74 | github-code | 18 | [
{
"api_name": "http.server.BaseHTTPRequestHandler",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "sys.arg... |
3602636645 | import sys,pygame
from collections import deque #Queues
__author__ = 'Kodex'
pygame.init()
size = width, height = 1280,840
speed = [2, 2]
black = 0, 0, 0
screen = pygame.display.set_mode(size)
# STARTGAME--------------------------
screen.fill(black)
textLine1 = "Welcome to the survival games."
te... | rytai/ReStart | Backup/01 tiles moveing and messagelog.py | 01 tiles moveing and messagelog.py | py | 4,321 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pygame.init",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pygame.font.ge... |
71426828840 | import sys
sys.path.append('./fastai/')
from Fastai.structured import *
from Fastai.column_data import *
np.set_printoptions(threshold=50, edgeitems=20)
import warnings
warnings.filterwarnings("ignore", category=sklearn.exceptions.UndefinedMetricWarning)
from sklearn.model_selection import train_test_split, StratifiedK... | aorursy/new-nb-3 | gilesstrong_dnn-ensemble-cat-embeddings-pretrain-class-bal.py | gilesstrong_dnn-ensemble-cat-embeddings-pretrain-class-bal.py | py | 13,878 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "warnings.filterwarnings",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sklearn.model_sele... |
70463274921 | import os
import yaml
from common.request_util import RequestHandler
from common.yaml_util import read_yaml_key, get_object_data_path
# 拼接url
def get_url(path):
"""
:param path: 请求接口路径
:return: 返回完整的接口Url
"""
url = read_yaml_key('config/config.yaml', 'baseURL') + path
return url
# 获取header
d... | zyl140640/qdmh-requests | common/public_function.py | public_function.py | py | 3,771 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "common.yaml_util.read_yaml_key",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "common.request_util.RequestHandler",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "common.yaml_util.read_yaml_key",
"line_number": 24,
"usage_type": "call... |
36900790816 | # For reading and writing csv files
import csv
import sklearn.linear_model as sklin
import sklearn.metrics as skmet
import sklearn.cross_validation as skcv
import numpy as np
MAX_TRAIN_SAMPLES = None # 10427
def get_features(row):
return np.array([row]).astype(np.float)
def read_data(inpath, get_features_fun):... | TobiasNorlund/LIS-Classification | classification_base.py | classification_base.py | py | 2,181 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.array",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.float",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "csv.reader",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.empty",
"line_numbe... |
35864019155 | import matplotlib.pyplot as plt
def SEIRS_Plot(results: dict, save_location: str, show: bool = False) -> None:
"""
Produces plot from results of SEIRS Model and saves the plot as a png
in the save_location
Args:
results: results from SEIRS Model
save_location: location to save plo... | FAIRDataPipeline/pySimpleModel | simpleModel/common/SEIRS_Plot.py | SEIRS_Plot.py | py | 1,114 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "matpl... |
23098979233 | import numpy as np
import pandas as pd
from keras.models import Sequential
from keras.layers import Dense
from keras.wrappers.scikit_learn import KerasRegressor
from sklearn.model_selection import cross_val_score
from sklearn.model_selection import KFold
from sklearn.preprocessing import StandardScaler
from sklearn.pip... | olcole/GunViolencePrediction_ML | regressionKERAS.py | regressionKERAS.py | py | 2,100 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "keras.models.Sequential",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "keras.layers.Dense",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "keras.laye... |
8880952051 | import os
import json
from pathlib import Path
from google.cloud import bigquery
from tabulate import tabulate
# CONFIG FILES
base_path = Path(__file__).resolve().parent.parent
gcp_json = os.path.join(base_path, 'config/gcp_pro.json')
gcp_file = json.load(open(gcp_json))
# GCP CLIENT
BQ_client = bigquery.Client.from_... | rrpizzano/business_intelligence | general_code/dataframes/remove_line_break.py | remove_line_break.py | py | 831 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "pathlib.Path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 10... |
37603149891 | import json
from bot_config import KEYS_FILE
import time
from datetime import datetime
import jwt
from utils.bot_logger import logger
from requests import post
from utils.meta_singleton import MetaSingleton
class IAMToken(metaclass=MetaSingleton):
encoded_jwt_token = None
iam_token_value = None
def __ini... | kpkovale/transcription_bot | utils/token_generator.py | token_generator.py | py | 3,090 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "utils.meta_singleton.MetaSingleton",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "utils.bot_logger.logger.info",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "utils.bot_logger.logger",
"line_number": 19,
"usage_type": "name"
},
... |
13565936586 | from django.shortcuts import (
render,
redirect,
)
from django.db import transaction
from django.contrib import messages
from django.http import JsonResponse
from django.conf import settings
from django.template.loader import get_template
from django.core.mail import EmailMultiAlternatives
from Modelos.models... | HenryGP14/EmprendeMacara | Cliente/views.py | views.py | py | 10,357 | python | es | code | 0 | github-code | 18 | [
{
"api_name": "Cliente.carrito.Carrito",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.redirect",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.redirect",
"line_number": 36,
"usage_type": "call"
},
{
"api_n... |
12645593505 | """
Just a set of helper functions that I use often
VERY miscellaneous!
"""
from __future__ import print_function, absolute_import
import os
import logging
from astropy import units as u, constants
from astropy import convolution
from scipy.optimize import bisect
from scipy.stats import scoreatpercentile
from... | kgullikson88/gullikson-scripts | kglib/utils/HelperFunctions.py | HelperFunctions.py | py | 47,749 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "os.path.dirname",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 47,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numbe... |
6201093355 | from itertools import permutations
'''
# 에라토스테네스의 체
n = 9999999
numbers = [False, False] + [True] * (n-1)
primes = []
for i in range(2, n+1):
if numbers[i] == True:
primes.append(i)
for j in range(2 * i, n+1, i):
numbers[j] = False
# primes에 소수 집합 저장..
'''
def is_prime(num):
if nu... | chris9390/Algorithm | programmers/brute_force_search/bf_2.py | bf_2.py | py | 1,171 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "itertools.permutations",
"line_number": 37,
"usage_type": "call"
}
] |
41304791560 | print('Hello World!')
lis = [2, 5, 7, 8, 12]
for i in lis:
if i % 2 == 0:
print('the number is even')
else:
print('the number is odd')
def say_hello():
print('hello!')
set1 = {7, 8, 9}
set2 = {5, 6, 7, 8, 9, 10}
set2.issuperset(set1)
set1.issuperset(set2)
set1 = {1, 3, 5}
set2 = {1, 2, ... | mustafagermec/miuul | 01_week/bioinformatic.py | bioinformatic.py | py | 7,342 | python | tr | code | 0 | github-code | 18 | [
{
"api_name": "seaborn.load_dataset",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pandas.set_option",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "pandas.set_option",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "seaborn.load... |
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