text string | size int64 | token_count int64 |
|---|---|---|
# -*- coding: utf-8 -*-
"""
Created on Mon Feb 17 01:08:13 2020
@author: OAdeoye
"""
class Dog:
def __init__(self, name):
self.name = name
def respond_to_command(self, command):
if (command == self.name):
print(self.name + " is Barking!!!")
bingo = Dog("Bingo")
bingo.respond_to_c... | 391 | 158 |
#!/usr/bin/python
# -*- coding: utf-8 -*-
import unittest
from datetime import datetime, timedelta
from analytics_query import analytics_query as aq
START_DATE = (datetime.now() - timedelta(7)).strftime('%Y-%m-%d')
END_DATE = (datetime.now() - timedelta(1)).strftime('%Y-%m-%d')
start_date = '2015-03-03'
end_date = '... | 704 | 276 |
from WordList import WordList, WordCard
import pygame
class GameManager:
def __init__(self):
self.wordList = WordList()
self.cards = []
self.badCards = (None, None)
self.goodCards = (None, None)
self.timer = 0
def startGame(self, pairCount):
self.cards = self.w... | 2,864 | 850 |
from plot import *
from experiments import *
import warnings
warnings.filterwarnings("ignore") #Ignore warnings for now
import sys
import os
import argparse
def main():
parser = argparse.ArgumentParser(description='Analysis of Go Games')
parser.add_argument('dir',nargs='*')
parser.add_argument('--conn',... | 1,687 | 505 |
# -*- coding: utf-8 -*-
# this made for python3
from os import environ
def expand_env(params, verbose=False):
""" dotenv like function, but not dotenv """
for key, val in params.items():
_print('try %s, %s'%(key, val), verbose)
if isinstance(val, dict):
_print('ORDEREDDICT', verbos... | 1,358 | 414 |
"""
A file for setup.
"""
# Metadata
__author__ = "cpuabuse.com"
__copyright__ = "cpuabuse.com 2019"
__license__ = "ISC"
__version__ = "0.0.1"
__email__ = "cpuabuse@gmail.com"
__status__ = "Development"
# Minimum python version is 3.6 | 236 | 103 |
from admin.upload import FileUploadField, ImageUploadField
from flask_babelex import Babel
from flask_admin._compat import urljoin
from flask import redirect
from flask_admin._compat import quote
from flask_admin.contrib.fileadmin import FileAdmin
from flask_admin import Admin, BaseView, expose
from flask_admin.... | 6,392 | 1,905 |
import json
from airflow.contrib.operators.kubernetes_pod_operator import KubernetesPodOperator
def _split_list(seq, num):
k, m = divmod(len(seq), num)
return list(
(seq[i * k + min(i, m):(i + 1) * k + min(i + 1, m)] for i in range(num))
)
_IS_SPLIT_KEY = 'is_split'
class PrepareInputOperator... | 4,137 | 1,274 |
import inspect
from . import actionscenes
from . import dd_combatmission
from . import dd_customobjectives
from . import dd_distanttown
from . import dd_homebase
from . import dd_intro
from . import dd_lancedev
from . import dd_main
from . import dd_roadedge
from . import dd_roadedge_propp
from . import dd_roadstops
f... | 1,440 | 512 |
# -*- coding: utf-8 -*-
"""
Base class to handle collection of profiles and means across multiple .h5 files
"""
import logging
import numpy as np
import os
import sys
import psutil
import pandas as pd
import time
import shutil
from warnings import warn
from reV.handlers.outputs import Outputs
from reV.utilities.except... | 27,696 | 7,930 |
from core.errors import LEO_ERRORS
from django import template
register = template.Library()
from utility.currency import to_price as to_price_origin
from utility.num import to_horuf as to_horuf_num,to_tartib as to_tartib_
@register.filter
def to_price(value):
return to_price_origin(value=value)
@register.filter... | 964 | 331 |
# Time: O(m*n)
# Space: O(n)
# 85
# Given a 2D binary matrix filled with 0's and 1's,
# find the largest rectangle containing all ones and return its area.
# Ascending stack solution.
class Solution(object):
def maximalRectangle(self, matrix): # USE THIS
"""
:type matrix: List[List[str]]
... | 3,119 | 1,110 |
n=int(input())
a = [int(s) for s in input().split(' ')]
increment=1
max_increment=1
for i in range(1,n):
if a[i]>a[i-1]:
increment=increment+1
else:
max_increment=max(max_increment,increment)
increment=1
max_increment=max(max_increment,increment)
print(max_increment) | 299 | 108 |
#!/usr/bin/python
from SocketServer import TCPServer, StreamRequestHandler
import socket
from subprocess import call
import datetime
import json
import re
import sys
import os
CONF = {}
RRDTOOL = '/usr/bin/rrdtool'
PERIODS = []
CHART_BACKGROUNDCOLOR = '#000000'
CHART_CANVASCOLOR = '#000000'
CHART_DIRECTORY = '/tmp/'... | 8,869 | 3,006 |
# цветная спираль из имени пользователя
import turtle
t = turtle.Pen()
turtle.bgcolor("black")
colors = ["red", "yellow", "blue", "green"]
# gui text input
name = turtle.textinput("Введи своё имя", "Как тебя зовут?")
for x in range(100):
t.pencolor(colors[x%4])
t.penup()
t.forward(x*4)
... | 410 | 186 |
# coding:utf-8
# @Time : 2019/5/15
# @Author : xuyouze
# @File Name : base_config.py
import importlib
import os
import sys
import torch
import logging
from .dataset_config import build_dataset_config
from .logger_config import config
__all__ = ["BaseConfig"]
class BaseConfig(object):
def __init... | 1,537 | 598 |
from fact.io import read_data
def test_sumupCountsOfRun():
from ratescan.utils import sumupCountsOfRun
df = read_data("test/test.hdf5", key="ratescan")
df_summed = sumupCountsOfRun(df)
assert df_summed.run_id.unique() == 182
assert len(df_summed.ratescan_trigger_thresholds) == 1000
... | 814 | 317 |
'''
@copyright: 2022 - Symas Corporation
'''
import sys
import pickle
import argparse
from rbac.util import global_ids
from rbac.model import Perm, User
from rbac import access
from rbac.util import RbacError
from ..cli.utils import print_user, print_entity
from rbac.cli.utils import (
load_entity, add_args, ADD,... | 4,080 | 1,261 |
from httprider.core.generators import utility_func_map
class UtilityFunctionsPresenter:
def __init__(self, view, parent):
self.view = view
self.parent = parent
# update list of functions
for f in utility_func_map.keys():
self.view.function_selector.addItem(f)
... | 1,678 | 488 |
import argparse
import numpy as np
import os
from numpy.linalg import inv
import torch
import torch.nn as nn
from torch.utils.data import TensorDataset
import torch.optim as optim
from torch.distributions.multivariate_normal import MultivariateNormal
from torch.distributions.uniform import Uniform
from torch.distribut... | 12,745 | 4,622 |
#!/usr/bin/env python
import os
import requests
import json
import time
import sys
import subprocess
import csv
import json
import numpy as np
def main():
start_time = time.time()
post_url = "http://0.0.0.0:8000/cpu"
mean_cpu = 0
counter = 0
s = 0.75
container_name = subprocess.check_output(["d... | 1,764 | 584 |
import os
import pandas as pd
import numpy as np
from pandas.testing import assert_series_equal
from madic import io
class TestChromatogramExpansion(object):
def setup_method(self):
# two rows of comma separated intensity chromatograms
self.df = pd.DataFrame([['1,2,3,4,5,6,5,4,3,2,1'],
... | 5,264 | 1,677 |
import matplotlib.pyplot as plt
x = []
y = []
with open('points') as f:
for point in map(lambda x: x.split(), f.readlines()):
x.append(int(point[0]))
y.append(int(point[1]))
plt.scatter(x, y)
plt.show()
| 226 | 90 |
# Copyright 2015-2018,2020 Ivan Yelizariev
# License MIT (https://opensource.org/licenses/MIT).
{
"name": "POS debranding",
"version": "13.0.1.0.0",
"author": "IT-Projects LLC, Ivan Yelizariev",
"license": "Other OSI approved licence", # MIT
"category": "Debranding",
"support": "help@itpp.dev",... | 509 | 204 |
import tensorflow as tf
# We will train all layers except hidden[12]. Therefore, Layers 1 and 2 are frozen
train_vars = tf.get_collection(tf.GraphKeys.TRAINABLE_VARIABLES, scope="hidden[34]|outputs")
loss = None # Your loss is here
train_op = tf.train.GradientDescentOptimizer(learning_rate=0.01).minimize(loss, var_l... | 335 | 120 |
# from Calculator.Addition import addition
from Calculator.Division import division
def populationmean(num):
try:
num_values = len(num)
total = sum(num)
return division(total, num_values)
except ZeroDivisionError:
print("Error: Enter values greater than 0")
except ValueErro... | 371 | 99 |
# -*- coding: utf-8 -*-
import os
class Configuration:
def __init__(self):
self.DOTA_BUFF_BASE_URL = 'https://pt.dotabuff.com'
self.HEROES = f'{self.DOTA_BUFF_BASE_URL}/heroes'
self.HERO_COUNTERS = '/counters'
self.HERO_COUNTERS_FULL = f'{self.DOTA_BUFF_BASE_URL}/hero-name/{self.H... | 585 | 254 |
"""
The Python implementation of the GRPC image client.
Modified from grpc/examples/python/helloworld/greeting_client.py.
"""
from __future__ import print_function
import logging
from io import BytesIO
from PIL import Image
import grpc
import image_pb2
import image_pb2_grpc
def run():
# NOTE(gRPC Python Team)... | 908 | 293 |
import numpy as np
from sklearn.neural_network import MLPRegressor
from sklearn.exceptions import NotFittedError
from inter.interfaces import QLearning
from utility import set_all_args
class NFQ(QLearning):
gamma = 0.9
beta = 0.8
def __init__(self, **kwargs):
self.mlp = MLPRegressor(
... | 1,842 | 633 |
import datetime
from database.chemprop.endpoints import Endpoints
from database.chemprop.parameters import Parameters
from database.database_schemas import Schemas
from sqlalchemy import Column, Integer, String, DateTime, ForeignKey
from sqlalchemy.orm import relationship
from database.base import Base
class Endpoi... | 1,062 | 299 |
label_name_mapping = {
0: "unlabeled",
1: "outlier",
10: "car",
11: "bicycle",
13: "bus",
15: "motorcycle",
16: "on-rails",
18: "truck",
20: "other-vehicle",
30: "person",
31: "bicyclist",
32: "motorcyclist",
40: "road",
44: "parking",
48: "sidewalk",
49: ... | 2,009 | 1,170 |
#!/usr/bin/env python
from __future__ import absolute_import
def main():
import src.barrier
if __name__ == '__main__':
main() | 137 | 48 |
from state import TurtleState
# TODO : improve... but with useful things for illustrating the point...
def test_move(distance):
s = TurtleState()
s.move(distance)
def test_turn(angle):
s = TurtleState()
s.turn(angle)
def test_random_path():
s = TurtleState
# TODO
| 295 | 102 |
"""
The transitionFinder module is used to calculate finite temperature
cosmological phase transitions: it contains functions to find the phase
structure as a function of temperature, and functions to find the transition
(bubble nucleation) temperature for each phase.
In contrast, :mod:`.pathDefomration` is useful for ... | 66,843 | 21,311 |
import sys
import random
import networkx as nx
from write_nx_graph import write_graph
uncommons = set() # Everything except the 3300 common words in SGB
f = open ('data/words.txt','r')
words = []
for line in f:
if len(line)>0 and line[0] == '*': continue
word = line.strip()[:5]
words.append(wo... | 3,720 | 1,241 |
#!/usr/bin/env python2
#
# Strelka - Small Variant Caller
# Copyright (c) 2009-2018 Illumina, Inc.
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# at your... | 7,490 | 2,150 |
# This code is part of Qiskit.
#
# (C) Copyright IBM 2022.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or derivative wo... | 2,750 | 707 |
import re
from enum import Enum
from typing import List
import libkol
from .request import Request
class Furniture(Enum):
Nail = (1, 0)
GirlsCalendar = (1, 1)
BoyCalendar = (1, 2)
Painting = (1, 3)
MeatOrchid = (1, 4)
Bookshelf = (2, 0)
ArcaneTomes = (2, 1)
SportsMemorabilia = (2, 2)... | 1,381 | 565 |
# -*- coding: utf-8 -*-
# __author__:Song Zhenqi
# 2021-01-20
import os
import sys
import yaml
import logging
import functools
logger_initialized = set()
def get_img_list(img_file):
img_lists = []
if img_file is None or not os.path.exists(img_file):
raise FileNotFoundError("file path: {} is not exis... | 2,155 | 811 |
from monitoring.uss_qualifier.test_data import test_report
from monitoring.uss_qualifier.utils import USSQualifierTestConfiguration
from monitoring.uss_qualifier.main import uss_test_executor
from monitoring.uss_qualifier.rid.simulator import flight_state_from_kml
from monitoring.uss_qualifier.rid.utils import FullFlig... | 2,130 | 700 |
"""
BasketManagementRelated modules
"""
# import basket models
from basket.models import Basket
from basket.models import BasketProductLine
# import configuration models
from grenades_services.all_configuration_data import get_currency_instance
from grenades_services.all_configuration_data import get_customer_instance... | 11,853 | 3,242 |
import numpy as np
import matplotlib.pyplot as plt
acc = np.array([7.95549917, 7.46641684, 8.16141701, 8.80025005, 7.29208231,
7.73391724, 8.16333294, 9.02033329, 7.60566664, 7.88175011,
7.77574968, 8.79116631, 8.24524975, 8.98549938, 7.3717494 ,
7.32324982, 8.14583302, 8.53608322, 9.301250... | 2,935 | 2,574 |
"""
BPF-related stuff.
"""
| 27 | 13 |
import os
import json
import geojson
import mappyfile_geojson
import mappyfile
import pytest
def get_geojson(fn):
tests = os.path.dirname(os.path.realpath(__file__))
fn = os.path.join(tests, fn)
with open(fn) as f:
gj = geojson.load(f)
return gj
def test_point():
gj ... | 4,485 | 1,957 |
'''
@Author: Hata
@Date: 2020-05-24 15:30:19
@LastEditors: Hata
@LastEditTime: 2020-05-24 15:32:04
@FilePath: \LeetCode\230.py
@Description: https://leetcode-cn.com/problems/kth-smallest-element-in-a-bst/
'''
class Solution:
def kthSmallest(self, root, k):
def gen(r):
if r is not None:
... | 517 | 207 |
# ----------------------------------------------------------------------
# |
# | PythonUnittestTestParser.py
# |
# | David Brownell <db@DavidBrownell.com>
# | 2018-05-22 07:59:46
# |
# ----------------------------------------------------------------------
# |
# | Copyright David Brownell 2018-22.
# | ... | 3,430 | 936 |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
from typing import Any, Dict
from fairseq import checkpoint_utils
from fairseq.data.legacy.masked_lm_dictionary import MaskedLMDict... | 7,116 | 2,154 |
#!/usr/bin/python
# Classification (U)
"""Program: process_request.py
Description: Unit testing of process_request in mysql_db_admin.py.
Usage:
test/unit/mysql_db_admin/process_request.py
Arguments:
"""
# Libraries and Global Variables
# Standard
import sys
import os
if sys.version_info < ... | 7,249 | 2,402 |
#!/usr/bin/env python3
# -*- coding: UTF-8 -*-
"""
FST test -- test your Foma finite-state transducers!
"""
from .__version__ import VERSION as __version__
from ._fst import FST
from ._results import FailedTestResult, PassedTestResult, TestResults
from ._run import execute_test_case, run_tests
from ._test_case import... | 594 | 201 |
import copy
import numpy as np
import torch
from scipy import optimize
import logging
def sharpness(model, criterion_fn, A, epsilon=1e-3, p=0, bounds=None):
"""Computes sharpness metric according to https://arxiv.org/abs/1609.04836.
Args:
model: Model on which to compute sharpness
criterion_... | 3,674 | 1,112 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Standalone benchmark runner
"""
import cProfile
import pstats
import profile
import numpy as np
print("Running Rust + Cython benchmarks")
# calibrate
pr = profile.Profile()
calibration = np.mean([pr.calibrate(100000) for x in xrange(5)])
# add the bias
profile.Profil... | 1,164 | 438 |
import time
from random import randint
def random_int(x):
value = []
for i in range(x):
value.append(randint(0, x))
return value
def Quick_sort(list1):
N = len(list1)
if N <=1:
return list1
pivot = list1.pop()
# mid = len(list1)//2
Left_H = []
Right_H = []
for i... | 850 | 372 |
#REST
from rest_framework import viewsets,mixins
from rest_framework.permissions import IsAuthenticated
#Filters
from rest_framework.filters import SearchFilter,OrderingFilter
from django_filters.rest_framework import DjangoFilterBackend
#Models, serializers
from cride.circles.models import Circle,Membership
from cri... | 1,929 | 543 |
from adminweb.services import cep_service
from adminweb.models import Profissional
from rest_framework import serializers
import json
def listar_profissionais_cidade(cep):
codigo_ibge = buscar_cidade_cep(cep)['ibge']
try:
profissionais = Profissional.objects.filter(codigo_ibge=codigo_ibge).order_by('i... | 780 | 248 |
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.ui import WebDriverWait
import shutil
import os
class GoogleKeywordScreenshooter:
def __init__(... | 6,680 | 1,985 |
"""Extension function related to numpy
"""
from __future__ import annotations
from typing import List, Tuple
import numpy as np
import pandas
from numpy.typing import ArrayLike
def dict_to_numpy_array(d: dict, dtype: List[Tuple]) -> np.array:
"""convert dictionary to numpy array
Examples:
>>> d = {"aa... | 9,414 | 3,903 |
from datetime import date
from typing import List
from attr import attrs, attrib
@attrs()
class ProjectListProjection:
name: str = attrib()
total_downloads: int = attrib()
@attrs()
class DownloadProjection:
date: date = attrib()
downloads: int = attrib()
@attrs()
class ProjectProjection:
name... | 838 | 266 |
"""
This script computes word masks based on sentiment lexicons
"""
import os
import torch
import argparse
from tqdm import tqdm
from transformers import AutoTokenizer
from transformers import GlueDataTrainingArguments as DataTrainingArguments
from transformers import GlueDataset as Dataset
parser = argparse.Argumen... | 3,039 | 989 |
class Solution:
def compress(self, chars: List[str]) -> int:
l = 0
while l < len(chars):
r = l + 1
while r < len(chars) and chars[l] == chars[r]: r += 1
num = r - l
for k in range(r - l, 1, -1): chars.pop(l)
if num > 1:
for ... | 456 | 157 |
from logger import Logger
from numpy import average
log = Logger(None)
def show_queue_length_average(number_of_packets):
timestamps = []
vals = []
if len(number_of_packets) == 0:
log.info(f"Average number of packets: NO DATA")
return 0
for k, v in number_of_packets.items():
... | 3,524 | 1,358 |
import repo
import export.csv as csv
# CONSTANTS
milk_q = "SELECT * FROM \"%s\" WHERE price != 0 AND discount = false AND (name ILIKE '%%1l%%' OR name ILIKE '%%1 l%%') AND (name ILIKE '%%piim %%' OR name ILIKE '%%piim,%%') AND name NOT ILIKE '%%juust%%' AND name NOT ILIKE '%%kohupiim%%' AND name NOT ILIKE '%%laktoos%%... | 5,946 | 2,206 |
# EX1
# if x < y:
# y = 0
# x = x + 1
# else:
# x = y
def max(a, b, c):
if a > b and a > c:
print(a,' is maximum among all')
elif b > a and b > c:
print(b, ' is maximum among all')
else:
print(c, ' is maximum among all')
max(30, 28, 18)
# def triangleType(a, b, c):
# ... | 1,755 | 781 |
import random
import time
while (1):
def clear(): ##Placeholder code
time.sleep(1)
clearConsole = lambda: print('\n' * 150) ##
clearConsole()
wmsg = "Good morning!"
events = {
1 : "calm",
2 : "calm",
3... | 1,193 | 386 |
import numpy as np
import OpenEXR as exr
import cv2
import Imath
import matplotlib.pyplot as plt
def readEXR(filename):
exrfile = exr.InputFile(filename)
header = exrfile.header()
dw = header['dataWindow']
isize = (dw.max.y - dw.min.y + 1, dw.max.x - dw.min.x + 1)
channelData = dict()
# conver... | 774 | 287 |
from yggdrasil.serialize.SerializeBase import SerializeBase
class FunctionalSerialize(SerializeBase):
r"""Class for serializing/deserializing a Python object into/from a bytes
message using defined functions.
Args:
encoded_datatype (schema, optional): JSON schema describing the type
t... | 2,972 | 773 |
'''
This file is the glue between the Discord bot and the game logic.
'''
from wordle_logic import evaluate_guess, generate_new_word
from wordy_types import ActiveGame, EndResult, LetterState
def begin_game() -> ActiveGame:
"""
Begin a game for a user.
"""
# Select a word
answer = ge... | 2,046 | 784 |
import numpy as np
def readNNet(nnetFile, withNorm=False):
'''
Read a .nnet file and return list of weight matrices and bias vectors
Inputs:
nnetFile: (string) .nnet file to read
withNorm: (bool) If true, return normalization parameters
Returns:
weights: List of ... | 2,422 | 789 |
from typing import Dict
import neptune.new as neptune
import numpy as np
import pytorch_lightning as pl
import torch
import torch.nn as nn
from config import NEPTUNE_API_TOKEN, NEPTUNE_PROJECT_NAME
from sklearn.metrics import classification_report, f1_score
from utils.summary_loss import SummaryLoss
from math import c... | 13,668 | 3,743 |
from functools import lru_cache
from collections import defaultdict
import pandas as pd
import numpy as np
with open('input.txt') as fh:
depthmap = pd.DataFrame([{
'row': row,
'col': col,
'height': int(d)
}
for row, line in enumerate(fh)
for col, d in enumerate(line.str... | 2,305 | 835 |
# Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
import re
import subprocess
import sys
from pathlib import Path
# -- Path setup ------... | 3,467 | 1,050 |
from .token_types import TT
from .token_types import BadTT
from .position import Position
from .keywords import is_keyword
from .keywords import keyword_declared_type
from ..lexer import errors
class Token:
def __init__(self, token_type, value = None, position = None):
self.type = token_type
self.v... | 1,345 | 398 |
#!/usr/bin/env python3
"""Squares and Cubes for a range of numbers.
Given a start and end, calucate the Square x**2 and
the Cube x**3 for all numbers.
Example of generator and functools.partial.
"""
from functools import partial
def power(base, exponent):
"""Raise a base to the exponent."""
return base *... | 689 | 240 |
#program to find the index of an item in a specified list.
num =[10, 30, 4, -6]
print(num.index(30))
| 101 | 43 |
from django.test import TestCase
from django.core.exceptions import ValidationError
from mozdns.txt.models import TXT
from mozdns.domain.models import Domain
class TXTTests(TestCase):
def setUp(self):
self.o = Domain(name="org")
self.o.save()
self.o_e = Domain(name="oregonstate.org")
... | 1,748 | 614 |
#!/usr/bin/env python
# Copyright (c) 2019 Orange and others.
#
# All rights reserved. This program and the accompanying materials
# are made available under the terms of the Apache License, Version 2.0
# which accompanies this distribution, and is available at
# http://www.apache.org/licenses/LICENSE-2.0
"""Define t... | 6,698 | 2,199 |
# coding=utf-8
from fabric.api import env, run
COMMAND_COLLECTSTATIC = 'collectstatic'
COMMAND_SYNCDB = 'syncdb'
COMMAND_MIGRATE = 'migrate'
_default_command = '{python} {manage} {command}'
_commands_list = {
COMMAND_COLLECTSTATIC: 'yes yes | {python} {manage} {command}',
COMMAND_MIGRATE: '{python} {manage} ... | 963 | 338 |
from django.http import HttpResponseRedirect
from django.core.urlresolvers import reverse
from django.conf import settings
from django.core.exceptions import ValidationError
from datetime import datetime, timedelta
from commercialoperator.components.main.models import Park
from commercialoperator.components.proposals.... | 8,820 | 2,826 |
"""
models.py
App Engine datastore models
Documentation: https://developers.google.com/appengine/docs/python/ndb/entities
"""
from google.appengine.ext import ndb
from google.appengine.ext import blobstore
from google.appengine.api import users
import functools
import flask
from flaskext import login
from flaskex... | 3,552 | 1,203 |
import pygame
import math
import path_planning as pp
class Driver():
def __init__(self, vehicle, path, settings):
""" Driver """
#_______main objects references_______
#reference to driver vehicle object:
self.vehicle = vehicle
#creating a plan object:
self.plan = p... | 2,488 | 683 |
#coding:utf-8
'''
Demo for calling API of deepnlp.org web service
Anonymous user of this package have limited access on the number of API calling 100/day
Please Register and Login Your Account to deepnlp.org to get unlimited access to fully support
api_service API module, now supports both windows and linux platforms.
... | 2,752 | 976 |
# -*- coding: utf-8 -*-
"""
The built-in Round-Robin algorithm.
"""
# standard library
from typing import Union
# scip plugin
from spring_cloud.commons.client.service_instance import ServiceInstance
from spring_cloud.utils.atomic import AtomicInteger
from .loadbalancer import LoadBalancer
from .supplier import Servi... | 1,195 | 356 |
import os
import sys
import numpy as np
import torch
from torchvision import datasets, transforms
ROOT_DIR = os.path.dirname(os.getcwd())
if ROOT_DIR not in sys.path: sys.path.append(ROOT_DIR)
import DeepSparseCoding.utils.data_processing as dp
import DeepSparseCoding.datasets.synthetic as synthetic
class CustomTe... | 4,245 | 1,354 |
#!/usr/bin/env python3
from ctypes import *
import m2m2_core
class M2M2_LED_COMMAND_ENUM_t(c_uint8):
M2M2_LED_COMMAND_GET = 0x0
M2M2_LED_COMMAND_SET = 0x1
class M2M2_LED_PATTERN_ENUM_t(c_uint8):
M2M2_LED_PATTERN_OFF = 0x0
M2M2_LED_PATTERN_SLOW_BLINK_DC_12 = 0x1
M2M2_LED_PATTERN_SLOW_BLINK_DC_12_... | 1,051 | 585 |
import networkx as nx
import numpy as np
import argparse
if __name__ == '__main__':
np.random.seed(555)
NUM = 10000
parser = argparse.ArgumentParser()
parser.add_argument('-d', type=str, default='music')
args = parser.parse_args()
DATASET = args.d
kg_np = np.load('../data/' + DATASET + '... | 2,327 | 830 |
import pygame
from pygame.locals import*
from pygame import mixer
pygame.init()
# loading in background image
backgroundClassic_image=pygame.image.load('image/WallPaper.png')
backgroundAncient_image=pygame.image.load('image/WallPaper2.png')
# loading in player image
player_imageClassic=pygame.image.... | 6,317 | 4,278 |
import filters as f
from filters.test import BaseFilterTestCase
# noinspection PyProtectedMember
from iso3166 import Country, countries_by_alpha3
from language_tags import tags
from language_tags.Tag import Tag
from moneyed import Currency, get_currency
class CountryTestCase(BaseFilterTestCase):
filter_type = f.e... | 8,170 | 2,426 |
'''
Equivalence of AR(1) and MA(infinity)
To better understand the relationship between MA models and AR models, you will demonstrate that an AR(1) model is equivalent to an MA(∞
∞
) model with the appropriate parameters.
You will simulate an MA model with parameters 0.8,0.82,0.83,…
0.8
,
0.8
2
,
0.8
3
,
…
for a lar... | 1,179 | 440 |
import PIL.Image
import random
import numpy as np
import cv2
class RandomHorizontalFlip():
def __init__(self):
return
def __call__(self, inputs):
if bool(random.getrandbits(1)):
outputs=[]
for inp in inputs:
out = np.fliplr(inp).copy()
ou... | 3,752 | 1,356 |
#!/usr/bin/env python3
import os
import subprocess
if __name__ == '__main__':
out_dir = 'out'
if not os.path.exists(out_dir):
os.mkdir(out_dir)
subprocess.run(['cargo', 'build', '--release'])
exe = 'target/release/svg'
subprocess.run([exe, '-i', 'test/simple-text.svg', '-o', 'out/simple-t... | 398 | 150 |
"""
String format type value enumeration.
"""
TRUE = '1'
FALSE = '0'
NONE = ''
| 79 | 31 |
from django.contrib import admin
from .models import Museums
admin.site.register(Museums) | 90 | 26 |
#!/usr/bin/env python
# -*- coding: UTF-8 -*-
"""
setup
~~~~~
Setup Script
Run the build process by running the command 'python setup.py build'
:copyright: (c) 2018 by Oleksii Lytvyn.
:license: MIT, see LICENSE for more details.
"""
import osc.osc as osc
try:
from setuptools import setup... | 1,584 | 500 |
import asyncio
import ssl
import aiohttp
from . import constants as c
def _get_rate_limit_wait(log, resp, opts):
"""
Returns the number of seconds we should wait given a 429 HTTP response and
HTTP options.
"""
max_wait = 3600
wait = opts['wait']
header_name = opts['rate_limit_reset_he... | 2,501 | 691 |
#!/usr/bin/env python3
from kubernetes.shell_utils import simple_run as run
run((
"python3 gcloud_dataproc/v02/run_script.py "
"--cluster create-ht-clinvar "
"download_and_create_reference_datasets/v02/hail_scripts/write_clinvar_ht.py"))
| 252 | 97 |
from discord.ext import commands
from flegelapi.pg import default, server
from distutils.util import strtobool
import discord
member_table= """ member_(
id serial PRIMARY KEY,
server_id interger NOT NULL,
role_ld interger,
channel_id interger,
custom_mes character varying DEFAULT が入出しました。,
on_o... | 4,324 | 1,440 |
import gym
import numpy as np
import sys
import theano
import theano.tensor as T
import layers
from layers import FullyConnectedLayer, SoftmaxLayer
env = gym.make('CartPole-v0')
#Number of actions
action_n = env.action_space.n
#Number of features observed
feature_n = env.observation_space.shape[0]
epochs = 100
min... | 4,388 | 1,587 |
#!/usr/bin/python
'''
Andrei Dorin
06/10/2018
User interface for WISP chat implementation
'''
import argparse
import logging
import signal
import sys
import time
import queue
import select
import getpass
from wisp_client import WispClient
from wisp_common import State, WispRequest, WispResponse, WispMessage, WISP_DEF... | 7,720 | 2,297 |
from newpy.loggers.colored_formatter import ColoredFormatter
| 61 | 18 |
# coding: utf8
"""Sources provide an abstraction between a source of music notes and putao projects."""
from . import mml # noqa
from .reg import formats, loads, register # noqa
| 181 | 53 |
# -*- coding: utf-8 -*-
"""
Created by libsedmlscript v0.0.1
"""
from sed_roadrunner import model, task, plot
from mpmath import csc
#----------------------------------------------
csc(0.5)
| 206 | 79 |