content stringlengths 1 1.05M | input_ids listlengths 1 883k | ratio_char_token float64 1 22.9 | token_count int64 1 883k |
|---|---|---|---|
import time, os
import numpy as np
import json
| [
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import carpeta8
# bloque principal
lista=carpeta8.cargar()
carpeta8.imprimir(lista)
carpeta8.ordenar(lista)
carpeta8.imprimir(lista) | [
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... | 2.028986 | 69 |
import re
from mediaRename.constants import constants as CONST
def cleanReplace(data):
"""
Takes each dict object and clean
:param data: dict object
:return: none
"""
dataIn = data["files"]
# (regX, replaceSTR)
cleanPasses = [(CONST.CLEAN_PASSONE, ""), (CONST.CLEAN_PASSTWO, ""),
... | [
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... | 2.22508 | 311 |
# Copyright (c) 2019 MindAffect B.V.
# Author: Jason Farquhar <jason@mindaffect.nl>
# This file is part of pymindaffectBCI <https://github.com/mindaffect/pymindaffectBCI>.
#
# pymindaffectBCI is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published b... | [
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2,
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2001,
... | 2.13007 | 9,764 |
a = [1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89]
b = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]
c = []
for x in a:
if x in b:
c.append(x)
print(c) | [
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... | 1.631579 | 95 |
from tensorflow import keras
import os
import numpy as np
import sys
import json
sys.path.append("/".join(os.path.abspath(__file__).split("/")[:-2]))
from model.dataset import utils, test_sampler
summary, all_predictions = estimate_model_accuracy(
keras.models.load_model("./RMS_model/model.h5")
)
print(summary)... | [
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... | 2.528302 | 212 |
import torch
import torch.nn as nn
import torch.nn.functional as F
import os
import numpy as np
from Layer import FeedForwardNetwork
from Layer import MultiHeadAttention
__author__ = "Serena Khoo" | [
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3... | 3.389831 | 59 |
import requests
import urllib.request
import os
import pickle
import argparse
# file read folder
path = 'http://db.itkc.or.kr//data/imagedb/BOOK/ITKC_{0}/ITKC_{0}_{1}A/ITKC_{0}_{1}A_{2}{5}_{3}{4}.JPG'
# Manual
label = ['BT', 'MO']
middle = 1400
last = ['A', 'V'] # A ~400 V ~009
num = 10
num1 = 400
fin = ['A', 'B',... | [
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... | 2.298343 | 181 |
"""This module holds the Symbol, ComputationalGraph, and ComputationalGraphNode classes and methods to help construct
a computational graph."""
from typing import Optional
from .operators import Add, Subtract, Multiply, Divide, Grad, Div, Curl, Laplacian
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# Copyright (c) Microsoft. All rights reserved.
# Licensed under the MIT license. See LICENSE file in the project root for
# full license information.
import datetime
import threading
import contextlib
| [
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... | 4.14 | 50 |
import tkinter as tk
from tkinter import messagebox
import json
# Constants
FONT_NAME = "Open Sans"
BG_COLOR = "#f9f7f7"
FONT_COLOR = "#112d4e"
ACCENT = "#dbe2ef"
root = tk.Tk()
root.title("Money Tracker")
root.config(bg=BG_COLOR)
root.resizable(0, 0)
root.iconbitmap("C:\\Users\\ASUA\\Desktop\\Tests\\MoneyTransactio... | [
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... | 2.494913 | 3,637 |
import requests
| [
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] | 5.333333 | 3 |
import json
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import os
import time
if __name__ == "__main__":
for directory in os.listdir('./datasets'):
if "example" not in directory:
save_figs(directory)
print("creating statistics done")
| [
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from __future__ import unicode_literals
import frappe | [
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed u... | [
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1378... | 3.75 | 180 |
from PIL import Image
import numpy as np
# Works when launched from terminal
# noinspection PyUnresolvedReferences
from k_means import k_means
input_image_file = 'lena.jpg'
output_image_prefix = 'out_lena'
n_clusters = [2, 3, 5]
max_iterations = 100
launch_count = 3
main()
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1... | 2.818182 | 99 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import tensorflow as tf
import yaml
from model.dcrnn_supervisor import DCRNNSupervisor
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('--confi... | [
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43695,... | 2.811843 | 1,047 |
import torch.optim as optim
from torch import nn
from data.match_dataset import MatchDataset
from torch.utils.data import DataLoader
from models.lol_result_model import LOLResultModel
import torch
if __name__ == '__main__':
EPOCH = 50
BATCH_SIZE = 32
loader = DataLoader(MatchDataset('dataset/train_data.... | [
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... | 2.373853 | 436 |
#!/usr/bin/env python
import libtripled, logging, sys, os
# CONSTANTS
log = logging.getLogger('tripled.cpfromddd')
if __name__ == '__main__':
logging.basicConfig(level=logging.DEBUG)
if len(sys.argv) < 4:
print '%s <master> <tripled src> <local dst>' % (sys.argv[0])
exit(-1)
tripled = l... | [
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... | 2.103053 | 262 |
#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
from enum import Enum
from typing import cast, Dict, List, Optional, Tuple, Union
impor... | [
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76... | 3.059406 | 404 |
from .plugin_loader import manifest
from .plugin_manager import PluginManager
| [
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from opytimizer.optimizers.science import HGSO
# One should declare a hyperparameters object based
# on the desired algorithm that will be used
params = {
'n_clusters': 2,
'l1': 0.0005,
'l2': 100,
'l3': 0.001,
'alpha': 1.0,
'beta': 1.0,
'K': 1.0
}
# Creates an HGSO optimizer
o = HGSO(param... | [
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... | 2.291667 | 144 |
"""Image generating architectures.
Kyle Roth. 2019-07-10.
"""
| [
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from django.conf.urls import url
from .views import (EmergencyContactCreateView, EmergencyContactUpdateView, EmergencyContactDeleteView,
EmergencyContactDetailView, EmergencyContactListView, AdverseEventTypeUpdateView,
AdverseEventTypeCreateView, AdverseEventTypeDeleteView, Adve... | [
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... | 2.526515 | 1,056 |
#!/usr/bin/python3
'''Handles all database interactions for qbootstrapper
'''
from flask import g
from qbflask import app
import sqlite3
def connect_db():
'''Connects to the database and returns the connection
'''
conn = sqlite3.connect(app.config['DATABASE'])
conn.row_factory = sqlite3.Row
retur... | [
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65,
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198,
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578,... | 2.635739 | 291 |
"""Interprets each AST node"""
import ast
import textwrap
from typing import Any, Dict, List
def extract_fields(code: str) -> Dict[str, Any]:
"""Extracts data from code block searching for variables
Args:
code: the code block to parse
"""
# Parsing expects that the code have no indentation
... | [
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... | 1.99216 | 1,403 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from runner.koan import *
| [
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] | 2.3125 | 32 |
params = [int(x) for x in input().split()]
point = params[-1]
card_numbers = sorted([int(i) for i in input().split()])
max_sum = 0
for i in range(len(card_numbers)):
for j in range(i+1, len(card_numbers)):
for k in range(j+1, len(card_numbers)):
if card_numbers[i] + card_numbers[j] + card_numbe... | [
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600,
7,
72,
8,
329,
1312,
287,
5128,
22446,
35312,
3419,
12962,
198,... | 2.058824 | 306 |
import os
import re
# from .m.red import readInput
data = open("2\\input.txt").read().split('\n')
parsedData = []
for x in data:
parsedData.append(list(filter(None, re.split("[- :]", x))))
parsedData.pop()
count = 0
for x in parsedData:
print(x)
if(x[3][int(x[0])-1] != x[3][int(x[1])-1]
and (... | [
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17... | 2.013333 | 225 |
#!/usr/bin/env python2.4
"""
"""
obj = MyClass(6, 7)
| [
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] | 2 | 28 |
from django.shortcuts import render
from django.http import JsonResponse
from django.db import connections
from django.db.models import Count
from django.contrib import admin
from visitor.models import Apache
import json
admin.site.register(Apache)
# Create your views here.
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# ---
# jupyter:
# jupytext:
# formats: ipynb,py:percent
# text_representation:
# extension: .py
# format_name: percent
# format_version: '1.3'
# jupytext_version: 1.13.7
# kernelspec:
# display_name: Python 2
# language: python
# name: python2
# ---
# %%
import pandas a... | [
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import pytest
import pyhomogenize as pyh
from . import has_dask, requires_dask
from . import has_xarray, requires_xarray
from . import has_numpy, requires_numpy
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from behave import *
from hamcrest import assert_that, equal_to
from vec3 import Vec3, vec3
from vec4 import Vec4, point, vector
from base import equal, normalize, transform, ray, lighting
import numpy as np
from shape import material, sphere, test_shape, normal_at, set_transform, intersect, glass_sphere, point_light
f... | [
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#!/usr/bin/env python
# 'wordfrequencies.py'.
# Chris Shiels.
import re
import sys
if __name__ == "__main__":
sys.exit(main(sys.stdin, sys.stdout, sys.stderr, sys.argv[1:]))
| [
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import threading
import time
import numpy as np
from collections import deque
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from django.apps import AppConfig
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"""
fetch historical stocks prices
"""
from tqdm import tqdm
import pandas as pd
import pandas_datareader as pdr
from .base import DataFetcher
def get_stock_price(symbol, start, end):
"""get stock price of a company over a time range
Args:
symbol (str): ticker symbol of a stock
start (datetime... | [
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from .instruccionAbstracta import InstruccionAbstracta
| [
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# Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License").
# You may not use this file except in compliance with the License.
# A copy of the License is located at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# or in the "license... | [
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# uncompyle6 version 3.7.4
# Python bytecode 3.7 (3394)
# Decompiled from: Python 3.7.9 (tags/v3.7.9:13c94747c7, Aug 17 2020, 18:58:18) [MSC v.1900 64 bit (AMD64)]
# Embedded file name: T:\InGame\Gameplay\Scripts\Server\postures\posture_tunables.py
# Compiled at: 2016-02-19 01:17:07
# Size of source mod 2**32: 2003 byt... | [
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from . import Log, Move | [
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] | 3.833333 | 6 |
from Musician import Musician
| [
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import unittest
import numpy as np
import fastpli.objects
import fastpli.tools
if __name__ == '__main__':
unittest.main()
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... | 2.653061 | 49 |
import tensorflow as tf
from kerascv.layers.iou_similarity import IOUSimilarity
iou_layer = IOUSimilarity()
| [
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import socket
import struct
IP_BACKUP = '127.0.0.1'
PORTA_BACKUP = 5000
ARQUIVO_BACKUP = "/home/aluno-uffs/Documentos/Trab_Final/Atv1-Distribuida/cliente_BACKUP.c"
#Recebe o arquivo.
sockReceber = socket.socket(socket.AF_INET, socket.SOCK_DGRAM, socket.IPPROTO_UDP)
sockReceber.setsockopt(socket.SOL_SOCKET, socket.SO_... | [
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369... | 2.061303 | 261 |
import numpy as np
from matplotlib import pyplot as plt
from localpoly.base import LocalPolynomialRegression
# simulate data
np.random.seed(1)
X = np.linspace(-np.pi, np.pi, num=150)
y_real = np.sin(X)
y = np.random.normal(0, 0.3, len(X)) + y_real
# local polynomial regression
model = LocalPolynomialRegression(X=X, ... | [
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## Activation functions
from .module import Module
from ..utils import functional as F | [
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from . import spec
from typing import ( # noqa: F401
Any,
Callable,
List,
NewType,
Tuple,
)
from .spec import (
BeaconState,
BeaconBlock,
)
| [
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"""
Copyright 2010 Jason Chu, Dusty Phillips, and Phil Schalm
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agre... | [
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2... | 3.911243 | 169 |
import os
import sys
import boto3
from github import Github
SSM_CLIENT = boto3.client("ssm")
GITHUB_REPO_NAME = os.environ.get("GITHUB_REPO_NAME", "")
PR_NUMBER = os.environ.get("PR_NUMBER", "")
FAILED = bool(int(sys.argv[2]))
GITHUB_TOKEN = os.environ.get("GITHUB_TOKEN", "")
if __name__ == "__main__":
repo =... | [
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from __future__ import annotations
from typing import TYPE_CHECKING, Dict, List, Optional, Union
from Acquire.Client import Wallet
if TYPE_CHECKING:
from openghg.dataobjects import SearchResults
__all__ = ["Search"]
| [
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# -*- coding: utf-8 -*-
"""
Copyright 2019 CS Systmes d'Information
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law ... | [
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198... | 3.627027 | 185 |
import numpy as np
from scipy.stats import bernoulli
import heapq
| [
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from driver_53x5 import main
main(0x5395)
| [
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# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: v2ray.com/core/proxy/vmess/inbound/config.proto
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf i... | [
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13,
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14,
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14,
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408,
14,
259,
... | 2.400811 | 2,959 |
import logging
import csv
import time
from bs4 import BeautifulSoup
import requests
logging.basicConfig(
format='%(asctime)s %(levelname)s:%(message)s',
level=logging.INFO)
if __name__ == '__main__':
print('start up')
main()
print('all done')
| [
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... | 2.504587 | 109 |
from asteroid.interp import interp
from asteroid.version import VERSION
from asteroid.state import state
from asteroid.globals import ExpectationError
from asteroid.walk import function_return_value
from asteroid.support import term2string
from sys import stdin
import readline
| [
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6... | 4.242424 | 66 |
"""API for eeadm file state."""
from http import HTTPStatus
from flask import request
from flask_restx import Namespace, Resource, fields
from core.eeadm.file_state import EEADM_File_State
from ltfsee_globus.auth import token_required
api = Namespace(
"file_state", description="Get state of a file in archive eea... | [
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1... | 2.756667 | 300 |
from numpy import sort
from src.helpers.dataframe_helper import df_get, write_to_csv
def __copy_random_record_of_class(from_df, from_file_path, to_df, to_file_path, classes=None):
"""
TODO if we want to be more precise, we have to move the row, not just copy it
"""
if classes is None or len(classes)... | [
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67... | 2.344203 | 276 |
'''
BOAT_RACE_DB2
140_mkcsv_t_info_d.py
HTMLt_info_dCSV
macOS 11.1/Raspbian OS 10.4/python 3.9.1/sqlite3 3.32.3
2021.02.01 ver 1.00
'''
import os
import datetime
from bs4 import BeautifulSoup
#
BASE_DIR = '/home/pi/BOAT_RACE_DB'
'''
mkcsv_t_info_d
HTMLt_info_dCSV
'''
#
mkcsv_t_info_d() #t_info_dCSV
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8... | 1.876543 | 162 |
#!/usr/bin/env python3
import numpy as np
B = np.reshape(np.genfromtxt("data/b_nmc.txt"), (40, 40))
import matplotlib.pyplot as plt
plt.contourf(B)
plt.colorbar()
plt.show()
| [
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#!/usr/bin/env python3
import os, json
print("Content-type:text/html\r\n\r\n")
print
print("<title>Test CGI</title>")
print("<p>Hello World!</>")
# #Q1
# print(os.environ)
# json_object = json.dumps(dict(os.environ), indent=4)
# #print(json_object)
#Q2
# for param in os.environ.keys():
# if (param=="QUERY_STRING"... | [
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#!/usr/local/bin/python3
from subprocess import Popen, PIPE
from urllib.parse import quote
import sqlite3, datetime, sys, re
# Global Variables
removeCheckedItems = True # Set to false if you want to keep "completed" to-do items when this is run
bearDbFile = str(sys.argv[3])
oneTabID = str(sys.argv[4])
# Methods
de... | [
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1330,
8099,
268,
11,
350,
4061,
36,
198,
6738,
2956,
297,
571,
13,
29572,
1330,
9577,
198,
11748,
44161,
578,
18,
11,
4818,
8079,
11,
25064,
11,
... | 2.786932 | 352 |
import sys
from time import perf_counter
from command import CommandList
from errors import DppArgparseError, DppDockerError, DppError
from message import message
if __name__ == "__main__":
from multiprocessing import freeze_support
freeze_support()
main()
| [
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24588,
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628,
... | 3.407407 | 81 |
# -*- coding: utf-8 -*-
"""
ui/choice_grid.py
Last updated: 2021-05-04
Manage the grid for the puil-subject-choice-editor.
=+LICENCE=============================
Copyright 2021 Michael Towers
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with ... | [
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... | 2.964509 | 479 |
import math
result=(math.pow(3,2)+1)*(math.fmod(16,7))/7
print(result) | [
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# -*- coding: utf-8 -*-
"""
Created on Tue Feb 5 16:25:45 2019
@author: polsterc16
==============================================================================
LICENCE INFORMATION
==============================================================================
This Software uses Code (spg4) provided by "Brandon Rho... | [
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1... | 3.129371 | 286 |
from autostat.run_settings import RunSettings, Backend
from autostat.kernel_search import kernel_search, get_best_kernel_info
from autostat.dataset_adapters import Dataset
from autostat.utils.test_data_loader import load_test_dataset
from html_reports import Report
from markdown import markdown
import matplotlib.py... | [
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... | 2.305069 | 1,085 |
# -*- coding: utf-8 -*-
"""
@Remark:
"""
from django.urls import path, re_path
from rest_framework import routers
from apps.lyusers.views import UserManageViewSet
system_url = routers.SimpleRouter()
system_url.register(r'users', UserManageViewSet)
urlpatterns = [
re_path('users/disableuser/(?P<pk>.*?)/',Use... | [
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# -*- coding: utf-8 -*-
'''
Texas A&M University Sounding Rocketry Team
SRT-6 | 2018-2019
SRT-9 | 2021-2022
%-------------------------------------------------------------%
TAMU SRT
_____ __ _____ __ __
/ ___/______ __ _____ ___/ / / ___... | [
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24,
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... | 2.310189 | 1,109 |
#/usr/bin/env python
import sys
from setuptools import setup
from cricket import VERSION
try:
readme = open('README.rst')
long_description = str(readme.read())
finally:
readme.close()
required_pkgs = [
'tkreadonly',
]
if sys.version_info < (2, 7):
required_pkgs.extend(['argparse', 'unittest2', 'p... | [
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... | 2.375874 | 572 |
import requests;
import json;
from collections import Counter # Counts and orders the list of violations
import sys;
from urllib.parse import quote_plus # Make sysarg url-safe
# List of Apache Commons libraries which I know can be analyzed (without crashing/failing their tests)
commonsList = ["bcel",
"beanutils",
... | [
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1303,
6889,
25064,
853,
19016,
... | 2.448878 | 401 |
n = int(input('Qual tabuada deseja ver: '))
c=1
print(11*'=')
while c <= 10:
print('{} x {:2} = {}'.format(n,c,c*n))
c += 1
print(11*'=')
| [
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46110... | 1.921053 | 76 |
import argparse
import json
import os
import matplotlib.pyplot as plt
import numpy as np
import tensorflow as tf
import tqdm
from config import Config
from dataset import LJSpeech
from model import DiffWave
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('--config', default... | [
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... | 2.386747 | 830 |
# boudoir - chuchotement pantophobique
# https://www.youtube.com/watch?v=KL2zW6Q5hWs
# https://gist.github.com/jf-parent/c8ea7e54e30593af01512f4e21b54670
Scale.default = Scale.major
Root.default = 0
Clock.bpm = 120
b1.reset() >> glass(
[0],
dur = 16,
).after(16, 'stop')
Clock.set_time(0)
Clock.future(0, pla... | [
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... | 2.232804 | 189 |
import random
import urllib.parse
import sqlite3
import asyncio
import aiohttp
import discord
from discord.ext import commands
import loadconfig
| [
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117... | 3.326087 | 46 |
# !/usr/bin/env python
# -*- coding: utf-8 -*-
import base64
import json
import copy
import socket
import subprocess
import six
| [
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... | 2.931818 | 44 |
"""Build beta detail models for the API"""
import enum
from typing import Dict, Optional
import deserialize
from asconnect.models.common import BaseAttributes, Links, Relationship, Resource
| [
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7308,
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11,
2169... | 4.170213 | 47 |
import math
from plotter import Plotter
from plots import LinePlot
import board
import digitalio
import busio
import adafruit_sdcard
import storage
from adafruit_bitmapsaver import save_pixels
plot()
#save()
print('done')
#import jax.numpy as np
#
#def periodic_spikes(firing_periods, duration: in... | [
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201,
... | 2.491429 | 175 |
from os import listdir
import subprocess
for f in listdir("tests/vulkan"):
if f.endswith(".spv"):
continue
print(f"-- compiling test {f}")
p = subprocess.run(["glslangValidator", f"tests/vulkan/{f}", "-H", "-o", f"tests/vulkan/{f}.spv"], shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)... | [
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7,
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198,
220,
220,
220,
... | 2.278107 | 169 |
# Taken straight from Patter https://github.com/ryanleary/patter
# TODO: review, and copyright and fix/add comments
import torch
from torch.utils.data import Dataset
from .manifest import Manifest
def audio_seq_collate_fn(batch):
"""
collate a batch (iterable of (sample tensor, label tensor) tuples) into
... | [
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13,
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13,
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1330,
... | 2.650198 | 506 |
"""
~~~ IMPORT EXPERIMENTAL DATA, PROCESS, AND NONDIMENSIONALIZE ~~~
This code reads in the rescaled Snodgrass data and compares parameters
to known parameters found in the Henderson and Segur paper.
1. Get distances
2. Read in the gauge data for each event (get frequencies and Fourier magnitudes)
3. Adjust the y ax... | [
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1212,
2438,
9743,
287,
262,
6811,
3021,
5489,
375,
29815,
1366... | 1.923219 | 2,709 |
from .rip import *
| [
6738,
764,
5528,
1330,
1635,
198
] | 3.166667 | 6 |
# -*- coding: utf-8 -*-
# Time : 2022/1/17 15:20
# Author : QIN2DIM
# Github : https://github.com/QIN2DIM
# Description:
import os.path
import time
from hashlib import sha256
from typing import List, Optional, Union, Dict
import cloudscraper
import yaml
from lxml import etree # skipcq: BAN-B410 - Ignore... | [
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2,
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220,
220,
220,
220,
1058,
1195,
1268,
17,
35,
3955,
198,
2,
389... | 3.34507 | 284 |
import torch
import torch.nn as nn
from torch.nn import functional as F
| [
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201,
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201,
198,
201,
198,
201,
198,
201,
198,
201,
198,
201,
198
] | 2.333333 | 39 |
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | [
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2845,
287,
11846,
351,
262,
13789,
13,
198,
2,
921,
743,
733... | 3.711628 | 215 |
from enum import Enum
from typing import (
Any,
Dict,
)
from galaxy import (
exceptions,
model,
)
from galaxy.managers import hdas
from galaxy.managers.context import ProvidesUserContext
from galaxy.managers.jobs import (
JobManager,
JobSearch,
view_show_job,
)
from galaxy.schema.fields imp... | [
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220,
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198,
220,
220,
220,
13269,
11,
198,
220,
220,
220,
2746,
11,
198,... | 3.014925 | 134 |
import pytest
import numpy as np
from deephub.models.registry.toy import DebugToyModel
from deephub.models.feeders import MemorySamplesFeeder
from deephub.trainer import Trainer
| [
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13,
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364,
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14059,
50,
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1833... | 3.480769 | 52 |
from typing import TYPE_CHECKING
import pytest
from . import CapturedOutput
from utsc.switchconfig import config
from prompt_toolkit.application import create_app_session
from prompt_toolkit.input import create_pipe_input
if TYPE_CHECKING:
from .. import MockedUtil
from pytest_mock import MockerFixture
... | [
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6738,
6152,
62,
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15813,
13,
31438,
1330,
2251,
6... | 2.64977 | 651 |
# Copyright (c) 2014, HashFast Technologies LLC
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# 1. Redistributions of source code must retain the above copyright
# notice, this list of... | [
2,
15069,
357,
66,
8,
1946,
11,
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11419,
198,
2,
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13,
198,
2,
220,
198,
2,
2297,
396,
3890,
290,
779,
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13934,
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11,
351,
393,
1231,
198,
2,
17613,
11,
389,
10431,
2810,
326,
... | 2.591827 | 2,031 |
from django.db import models
from django.conf import settings
from courses.models import Course
# Create your models here.
| [
6738,
42625,
14208,
13,
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1330,
4981,
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10902,
13,
27530,
1330,
20537,
198,
198,
2,
13610,
534,
4981,
994,
13,
628
] | 3.848485 | 33 |
import argparse
import os
import re
import sys
from operator import itemgetter
from typing import Optional
import sentry_sdk
import youtube_dl
from selenium.common.exceptions import SessionNotCreatedException
from cmd_tool import (
get_execution_path,
exit_enter,
get_input_path_or_exit,
get_chrome_dri... | [
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... | 2.74062 | 613 |
# -*- coding: utf-8 -*-
import os
import io
import urllib2
import string
from BeautifulSoup import BeautifulSoup
import pandas as pd
import sys
city_url = 'http://twblg.dict.edu.tw/holodict_new/index/xiangzhen_level1.jsp?county=1'
if __name__=='__main__':
#
data = extract_items(city_url)
data... | [
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import csv
#global variables for teams:
sharks = []
dragons = []
raptors = []
#read the csv file with the player info and create a player dictionary:
#distribute kids based on experience:
#finalize teams:
#update the player dictionary to include the assigned teams:
#write the league info into the text file:
#gene... | [
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2... | 3.189349 | 169 |
import wpilib
import wpilib.drive
import ctre
import robotmap
from wpilib.interfaces import GenericHID
RIGHT_HAND = GenericHID.Hand.kRight
LEFT_HAND = GenericHID.Hand.kLeft
if __name__ == "__main__":
wpilib.run(Robot,physics_enabled=True) | [
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... | 2.420561 | 107 |
from django.contrib import admin
from django.urls import path
from .views import blog
urlpatterns = [
path('', blog, name='blog'),
]
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1... | 3.021739 | 46 |
#!/usr/bin/env python
from iris_sdk.models.maps.base_map import BaseMap | [
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import re
import traceback
import urllib2
import pandas as pd
import json,random,time,datetime
from bs4 import BeautifulSoup
from pandas.tseries.offsets import YearEnd
from sqlalchemy import text
from webapp import db, app
from webapp.models import FinanceBasic
headers = {'User-Agent':'Mozilla/5.0 (Windows; U; Wind... | [
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... | 2.687075 | 147 |
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets('MNIST_data', one_hot = True)
# Network hyperparameters
learning_rate = 0.0001 # 1.95 for sigmoid activation function
batch_size = 10
update_step = 10
input_nodes = 784 # 28x38 images as input
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