content stringlengths 5 1.05M |
|---|
# coding: utf-8
from io import StringIO
config_spec = StringIO(
f"""
[general]
language = string(default="default")
announce_ui_messages = boolean(default=True)
show_file_name_as_title = boolean(default=False)
open_with_last_position = boolean(default=True)
auto_check_for_updates = boolean(de... |
# encoding=utf-8
import networkx as nx
import matplotlib.pyplot as plt
from networkx.algorithms import approximation as apxa
print nx
G = nx.Graph()
# 建立一个空的无向图
G.add_node(6)
# 添加一个节点1
G.add_edges_from([(1,2),(1,3)])
G.add_edge(2,3)
# 添加一条边2-3（隐含着添加了两个节点2、3）
G.add_weighted_edges_from([(1,6,14.0),(1,3,9.... |
#!/usr/bin/env python
# coding : utf8
import numpy as np
import matplotlib.pyplot as plt
def ff(inp):
return np.log10(inp)
def fb(K, ph):
r = ph / 180.0 * np.pi
gs = K * np.exp(-1.0j * r)
ms = gs / (1 + gs)
z = ff(np.abs(ms))
r = z
if z > 40:
r = 0
a = 180 * np.pi / np.ang... |
'''
Created on Mar 12, 2014
Copyright 2014-2015 Luigi De Russis
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 ... |
from django.shortcuts import render
from rest_framework.generics import (
ListAPIView,
RetrieveAPIView,
)
from rest_framework.views import APIView
from rest_framework.response import Response
from django.core import serializers
from django.http import Http404
from rest_framework.permissions import AllowAny
fro... |
import pygame, pgeng
from pygame.locals import *
pygame.init()
clock = pygame.time.Clock()
screen = pgeng.Screen((320, 240))
display = screen.get_display()
small_font = pgeng.create_font((255, 255, 255))[0]
original_points = [(150, 180), (170, 180), (160, 200)]
original_center = [160, 180]
poly = pgeng... |
import os
import cPickle
import glob
import numpy as np
#np.random.seed(1337)
from keras.models import Sequential, Graph
from keras.layers import Embedding, LSTM, Dense, Merge, MaxPooling1D, TimeDistributed, Flatten, Masking, Input, Dropout, Permute
from keras.regularizers import l2, activity_l2
from code.learning.wo... |
from tkinter import *
import os
import webbrowser
app = Tk()
app.title("MyPhone")
logo=PhotoImage(file='logo.png')
app.iconphoto(False,logo)
app.minsize(1179,773)
app.maxsize(1179,773)
bg = PhotoImage(file = "bg2.png")
canvas1 = Canvas( app, width = 1179,height = 773)
canvas1.pack(fill = 'both', expand = True)
canva... |
from enum import Enum
from typing_extensions import Final
class GCODE(str, Enum):
HOME = "G28.2"
MOVE = "G0"
DWELL = "G4"
CURRENT_POSITION = "M114.2"
LIMIT_SWITCH_STATUS = "M119"
PROBE = "G38.2"
ABSOLUTE_COORDS = "G90"
RELATIVE_COORDS = "G91"
RESET_FROM_ERROR = "M999"
PUSH_SPE... |
position = [0, 0]
position_2 = [0, 0]
waypoint = [10, 1]
facing = 1
directions = ((0, 1), (1, 0), (0, -1), (-1, 0))
moves = {
'N': 0,
'E': 1,
'S': 2,
'W': 3,
}
rotations = {
'R': 1,
'L': -1,
}
waypoint_rotations = [
lambda x: [x[0], x[1]],
lambda x: [x[1], -x[0]],
lambda x: [-x[0]... |
#! /usr/bin/env python
# Copyright 2021 Intel Corporation
#
# 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... |
from discord.ext import commands
import discord
from .helpers import guild
from common import common
def normalize(cog):
return 'cogs.'+cog+'_setup'
class Core(commands.Cog):
def __init__(self, bot):
self.bot = bot
self.masterLogger = common.getMasterLog()
@commands.group(pass_context=T... |
from flask import Blueprint, request, render_template
from app.models import Category, Product
import json
bp_front_end = Blueprint('api_front_end', __name__, url_prefix='/')
@bp_front_end.route('', methods=['GET'])
def home():
return render_template("home.html.jinja")
@bp_front_end.route('category_list', met... |
from re import Scanner
from .lexerconstants import CHAR_MAP, NUM_CONST, NUM_SIGN_CONST
from .debug import Debug as dbg
class Tokeniser(object):
def __init__(self, type=None, value=None, debug=False):
self.value = value
self.type = type
self.debug = debug
def __str__(self):
ret... |
import pytest
from django.urls import reverse
@pytest.mark.django_db
def test_slug_redirect(django_app, volunteer, event):
response = django_app.get(
reverse("core:event_detail", kwargs=dict(pk=event.pk, slug="nottheactualslug")),
user=volunteer,
)
assert response.location # is a redirect... |
# Copyright (c) 2019 PaddlePaddle Authors. 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.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... |
import torch
import inspect
from typing import Callable, Union
from pytorch_lightning import Trainer as PLTrainer
from pytorch_lightning import LightningModule
from pytorch_lightning import LightningDataModule
from pytorch_lightning.loggers import TensorBoardLogger
from .metrics import MetricBase
from .tasks import Gen... |
#!/usr/bin/env python
# -*- coding: utf8 -*-
# My imports
from __future__ import division, print_function
import numpy as np
import argparse
def ll_filter(fname, col, limit, sign, element):
data = np.loadtxt(fname, skiprows=1, unpack=True)
if sign and element:
i = (data[col] > limit) | (data[1] == el... |
# -*- coding: utf-8 -*-
# Copyright (c) 2022 Theo Hussey
# License: Apache 2.0
# Project: KiAuto (formerly kicad-automation-scripts)
"""
Tests for 'pcbnew_do export_gencad'
For debug information use:
pytest-3 --log-cli-level debug
"""
import os
import sys
import re
# Look for the 'utils' module from where the script ... |
import torch
def shift_left(matrix, dimension):
"""Shift tensor left by one along specified dimension. This operation performed in-place"""
m_len = matrix.size()[dimension]
matrix.narrow(dim=dimension, start=0, length=m_len - 1) \
.copy_(matrix.narrow(dim=dimension, start=1, length=m_len - 1))
d... |
import os
import cv2
import numpy as np
import pickle
import math
from shutil import copyfile
from tqdm import trange, tqdm
from PIL import Image
import argparse
def obtain_ann_dict(img_root, ann_root):
ann_dict = {}
assert (os.path.isdir(img_root)), 'Path does not exist: {}'.format(img_root)
assert (os.p... |
class Puzzle:
""""
Snapshot of a full-information puzzle, which may be solved, unsolved,
or even unsolvable.
"""
def fail_fast(self):
"""
Return True iff Puzzle self can never be extended to a solution.
Override this in a subclass where you can determine early that
... |
# -*- coding: utf-8 -*-
import torch.nn as nn
import torch.nn.functional as F
import torch
class CPM(nn.Module):
def __init__(self, k):
super().__init__()
self.k = k
""" Todo: Compute all parameters"""
self.pool_center = nn.AvgPool2d(kernel_size=9, stride=8, padding=1)
"""------Stage 1------"""
# Pa... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2019/1/16 9:30 AM
# @Author : Insomnia
# @Desc : 定义一个队列并实现函数max得到队列里的最大值。要求max，pushBack，popFront的时间复杂度都是o(1)。
# @File : MaxNumInQue.py
# @Software: PyCharm
# 思路用单调队列
class MonitonicQue:
def __init__(self):
self.data = []
def push(self,... |
from ast import While
from operator import truediv
import operator
import time
import os
import sys
import subprocess
import math
from turtle import clear
MacOS = "1"
Windows= "2"
Errorbol = False
def clear_console():
if os.name == 'nt':
os.system('cls')
else:
os.system('clear')
clear_console(... |
import torch
import torch.nn as nn
import torch.nn.functional as F
import dgl
import numpy as np
"""
Graph Transformer
"""
from layers.graph_transformer_layer import GraphTransformerLayer
from layers.mlp_readout_layer import MLPReadout
class SAN(nn.Module):
def __init__(self, net_params):
super... |
import dateutil.parser
import pytz
from .trace import (
ArbitrarySerializer,
ArbitraryStartSerializer,
ArbitraryEndSerializer,
)
from eemeter.structures import (
EnergyTrace,
ModelingPeriod,
ModelingPeriodSet
)
def deserialize_meter_input(meter_input):
# verify type
type_ = meter_inp... |
import asyncio
import contextlib
import logging
from contextlib import asynccontextmanager, suppress
from enum import Enum
from typing import Any, AsyncIterator, Awaitable, Dict, Optional, cast
import distributed
from dask_task_models_library.container_tasks.events import (
BaseTaskEvent,
TaskCancelEvent,
... |
# -*- coding: utf-8 -*-
from PyQt5 import QtCore, QtWidgets
from PyQt5.QtWidgets import QApplication, QMessageBox, QListWidget
import Utility
import search_API
import project_init
class Ui_Form(object):
dictionary = {}
doc_lens = {}
bm25_dictionary = {}
def __init__(self):
self.dictionary, ... |
from .process import archive
|
# Copyright 2018 The Cirq Developers
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in ... |
def linear_search(arr, n, x):
for i in range(0, n):
if (arr[i] == x):
return i
return -1
## Testing
arr = [2, 4, 6, 8, 3, 6, 9]
result = linear_search(arr, len(arr), 3)
if(result == -1):
print("Element is not present in array")
else:
print(f"Element is present at index: {result}")
|
import os
# Public ip and default port
c.NotebookApp.ip = '0.0.0.0'
c.NotebookApp.port = 8888
# Allow to be run as root in docker
c.NotebookApp.allow_root = True
c.NotebookApp.open_browser = False
#c.NotebookApp.notebook_dir = os.getenv("NOTEBOOK_DIR","")
c.NotebookApp.notebook_dir = "/home/work/project"
# No pass... |
class Type:
def __init__(self):
self.error_msg = "is not valid"
def __comply__(self, value, arg_name):
raise NotImplementedError("This function must be implemented in children class")
def __check__(self, value, arg_name):
if not self.__comply__(value, arg_name):
raise V... |
import codecs
from codecs_to_hex import to_hex
BOM_TYPES = [
'BOM', 'BOM_BE', 'BOM_LE',
'BOM_UTF8',
'BOM_UTF16', 'BOM_UTF16_BE', 'BOM_UTF16_LE',
'BOM_UTF32', 'BOM_UTF32_BE', 'BOM_UTF32_LE',
]
for name in BOM_TYPES:
print('{:12} : {}'.format(
name, to_hex(getattr(codecs, name), 2)))
|
from CTFd.plugins import register_plugin_assets_directory
from CTFd.plugins.flags import get_flag_class
from CTFd.models import db, Solves, Fails, Flags, Challenges, ChallengeFiles, Tags, Hints
from CTFd.utils.user import get_ip
from CTFd.utils.uploads import delete_file
from flask import Blueprint
class BaseChalleng... |
import discord
from discord.ext import commands
from core.bot import is_owner
from core.logger import logger
from data.colors import colors
class FullAccess(commands.Cog):
"""Выдать полный доступ"""
def __init__(self, bot):
self.bot = bot
@commands.command(aliases = [
... |
#%%
import os
import sys
try:
os.chdir('/Volumes/GoogleDrive/My Drive/python_code/connectome_tools/')
sys.path.append('/Volumes/GoogleDrive/My Drive/python_code/maggot_models/')
sys.path.append('/Volumes/GoogleDrive/My Drive/python_code/connectome_tools/')
except:
pass
from pymaid_creds import url, nam... |
import csv, re, spacy, textacy
from spacy.symbols import *
nlp = spacy.load('en_core_web_sm')
# trim unneccessary leading phrases
def trim_leading(text):
return re.sub('^(Group )?portrait(,| of) ', '', text, flags=re.I)
# trim unneccessary trailing phrases
def trim_trailing(text):
return re.sub(', another (v... |
import json
import xbmc
import xbmcvfs
from . import utils as utils
from xml.dom import minidom
from xml.parsers.expat import ExpatError
class GuiSettingsManager:
doc = None
def __init__(self):
# first make a copy of the file
xbmcvfs.copy(xbmc.translatePath('special://home/userdata/guisetting... |
# Copyright 2016 Open Source Robotics Foundation, Inc.
#
# 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... |
"""
Thread to play audio.
Constantly plays silence when not in use to maintain stim calibration
"""
from pyaudio import PyAudio, paContinue
from time import sleep
import numpy as np
class AudioThread:
def __init__(self):
self.bitrate = 48000
self.audiobuf = b""
self.p = PyAudio()
... |
"""
util.py
Utilities and helper functions that don't require mido
"""
import sys
import itertools
import collections
import collections.abc
# SysEx Manufacturer ID
YAMAHA = 0x43
# Formatting
onehex = "{:1X}".format
twohex = "{:02X}".format
def hexspace(seq):
"""
Returns a string representation as two dig... |
# Desenvolva uma lógica que leia o peso e a altura de uma pessoa, calcule seu Índice de Massa Corporal (IMC) e mostre seu status, de acordo com a tabela abaixo: – IMC abaixo de 18,5: Abaixo do Peso – Entre 18,5 e 25: Peso Ideal – 25 até 30: Sobrepeso – 30 até 40: Obesidade – Acima de 40: Obesidade Mórbida
print(f'='*... |
# -*- coding: utf-8 -*-
"""
Created on Tue Nov 17 11:17:06 2020
@author: Mahamed
"""
'''
Support vector machine with classification
parameter set by cross validation
'''
from sklearn.model_selection import GridSearchCV
from sklearn.svm import SVC
tuned_params = [
{'kernel':['rbf'], 'gamma':[1e-1... |
# Generated by Django 2.2.7 on 2020-01-31 08:50
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('user', '0002_auto_20200128_1742'),
]
operations = [
migrations.RemoveField(
model_name='profile',
name='avatar',
),
... |
"""
Tests for scraping and processing
"""
import pytest
import recipe_recommender as rr
@pytest.fixture()
def testing_data():
data = rr.scraping_and_processing.bodybuilding.scrape_db(test=True)
return data
def test_bodybuilding_scrape(testing_data):
"""
Test that pulling single recipe from bodybuildi... |
import os
import shlex
import sys
import pytest
from sanic_envconfig import EnvConfig
@pytest.fixture()
def config(request):
class C(EnvConfig):
ATTRIBUTE_STR: str = 'default_str'
ATTRIBUTE_INT: int = 1
ATTRIBUTE_FLOAT: float = 1.5
ATTRIBUTE_BOOL: bool = True
return C
@pyt... |
from .gener_log import *
from .gener_powerlaw_fits import *
from .gener_pdf_for_data_run import *
|
import unittest
from porthole.app import default_session
from porthole.models import AutomatedReport, AutomatedReportContact, AutomatedReportRecipient
from porthole.models import ReportLog, ReportLogDetail
class TestReportModels(unittest.TestCase):
def test_create_report_and_recipients(self):
report = Aut... |
#!/bin/env python
# Home to work
# https://maps.googleapis.com/maps/api/directions/json?origin=901+Clearview+Dr+Bedford+Tx&destination=111+Customer+Way+Irving+Tx&avoid=tolls&key=AIzaSyDg5cmsPRKv2BqH889-y1AS8Y2r-de9McU
# Home to parents
# https://maps.googleapis.com/maps/api/directions/json?origin=901+Clearview+Dr+Bed... |
"""
Copyright 2015 Austin Ankney, Ming Fang, Wenjun Wang and Yao Zhou
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 o... |
"""
**MeanFunction Module**
The MeanFunction module contains classes used for constructing mean functions for GP emulators.
A base ``MeanBase`` class is provided, which implements basic operations to combine fixed
functions and fitting parameters. The basic operations ``f1 + f2``, ``f1*f2``, ``f1**f2``
and ``f1(f2)`` ... |
from pdfmix.core import create_mixture_pdf_files_from_cif_directory
import math
create_mixture_pdf_files_from_cif_directory(
"../notebooks/data",
"../notebooks/cifs",
output_pattern="{:08d}.nc",
fracs=[
[0.0, 1.0],
[1.0, 0.0],
[0.05, 0.95],
[0.95, 0.05],
[0.2, 0... |
import os
from flask import Flask
from flask import Response
from flask import request
from flask import render_template
from twilio import twiml
from twilio.rest import TwilioRestClient
from twilio.util import TwilioCapability
from twilio.access_token import AccessToken
# Required to connect to Twilio
TWILIO_ACCOUNT... |
from django.http import HttpResponse, JsonResponse
from rest_framework.renderers import JSONRenderer
from rest_framework.parsers import JSONParser
from rest.maingame.models import Hotspot, Player, Group
from rest_framework.views import APIView
from rest_framework.response import Response
import uuid
from rest.alias imp... |
import pandas as pd
import numpy as np
import requests
def _set_reference_time(time0, time1):
return time0 + '/' + time1
class FrostDataRetriever:
def __init__(self, longitude=10, latitude=59, initial_time_stamp='2020-07-20T00:00:00',
final_time_stamp='2020-07-31T23:59:59'):
self.c... |
# 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, ... |
import sys
from pyblake2 import blake2b
def contract_hash(
from_addr_base16: str,
nonce: int,
function_counter: int) -> bytes:
"""
Should match what the EE does:
blake2b256( [0;32] ++ [0;8] ++ [0;4] )
pk ++ nonce ++ function_counter
"""
def hash(data: bytes) -> bytes:
... |
from mpi4py import MPI
comm = MPI.COMM_WORLD
size = comm.Get_size()
rank = comm.Get_rank()
if rank == 0:
data = [(x+1)**x for x in range(size)]
print 'we will be scattering:',data
else:
data = None
data = comm.scatter(data, root=0)
data += 1
print 'rank',rank,'has data:',data
newData = comm.gather(data,... |
# ---Stdlib---
from os import listdir
from os.path import join
# ---Dependencies---
import torch
import torch.nn.functional as F
import numpy as np
from sklearn.decomposition import PCA
def get_device(device=None):
if isinstance(device, torch.device):
return device
return torch.device(device) if dev... |
#! /usr/bin/env python3
import argparse
import os
import re
from sys import modules
# TODO: wrap the "name","after","counter" into a class
class PerfMMU(object):
def __init__(self, name, counters, func):
self.name = name
self.counter = counters
self.func = func
ptw_counter = dict()
filter... |
import turtle
wn = turtle.Screen()
jhonny = turtle.Turtle()
jhonny.speed(2)
jhonny.penup()
jhonny.setposition(-250,75)
jhonny.pendown()
jhonny.pensize(10)
jhonny.forward(80)
jhonny.backward(40)
jhonny.right(90)
jhonny.forward(120)
jhonny.penup()
jhonny.setposition(-130, 75)
jhonny.pendown()
jhonny.left(23.5)
jhonn... |
"""
Start with a tree file, use ete3 to create a pairwise distance for all nodes. Basically this is the
distance matrix but as tuples.
if we have a tree like
----A
_____________|y
| |
| ----B
________|z
| ... |
#!/usr/bin/env python
# coding=utf-8
from setuptools import setup
setup(
name = 'pogopowerupcost',
packages = ['pogopowerupcost'],
version = '1.0.2',
download_url = 'https://github.com/mathiasbynens/pogopowerupcost/tarball/v1.0.2',
description = 'Easily calculate how much stardust and candy it takes to power-up ... |
import quandl
csv_name = input('What should the csv be called? ')
data = quandl.get("LBMA/GOLD", authtoken="Pa5fcY5AMKGfoipiGqjs", start_date="2017-02-25")
data = data.iloc[::-1]
data.to_csv('quandl_gold_data_{}.csv'.format(csv_name), mode = 'w+')
#End
|
import secrets
from datetime import datetime
for i in range(61):
timestamp = str(datetime.timestamp(datetime.now()))
key_id = secrets.token_urlsafe(16)
randbytes = secrets.token_bytes(128)
with open("key-{0}".format(key_id), "wb") as data:
data.write(timestamp.encode() + b"\n")
data.wr... |
from bs4 import BeautifulSoup
import requests
import pandas as pd
import os
# Setting up session
s = requests.session()
# List contaiting all the films for which data has to be scraped from IMDB
films = []
# Lists contaiting web scraped data
names = []
ratings = []
genres = []
# Define path where your films are p... |
# -*- coding: utf-8 -*-
from sanic.response import HTTPResponse
from rafter.app import Rafter
from rafter.http import Response
from rafter.filters import filter_transform_response
def fake_request():
app = Rafter()
request = app.request_class(b'/', {}, '1.1', 'GET', None)
request.app = app
request.b... |
import os
import sys
import pathlib
from scipy import ndimage, misc
from torch._C import ErrorReport
dir_path = os.path.dirname(pathlib.Path(__file__).resolve().parent)
# dir_path = os.path.dirname(os.path.realpath(__file__).parent)
sys.path.insert(1, dir_path)
import matplotlib.pyplot as plt
from torch.utils.data ... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Feb 3 21:43:46 2022
@author: stephane
"""
import numpy as np
import pandas as pd
hbar = 6.625E-34/(2*np.pi)
m0 = 9.109E-31
eps0 = 8.85E-14
q = 1.602E-19
# define layer stack class
class stack:
# The init method
def __init__(self, wl):
... |
"""A build-system abstraction for CMake.
One instance is one build configuration, known at construction.
I've never had a use case where I was interested in building multiple
configurations simultaneously.
Either I'm testing or debugging or I'm benchmarking or publishing.
Using this lowest common denominator lets us s... |
from pytest_mypy_plugins.collect import File
from pytest_mypy_plugins.item import YamlTestItem
def django_plugin_hook(test_item: YamlTestItem) -> None:
custom_settings = test_item.parsed_test_data.get('custom_settings', '')
installed_apps = test_item.parsed_test_data.get('installed_apps', None)
if instal... |
import sys
import os
import re
import numpy as np
from galry import log_info, log_debug
import re
"""Font atlas tools for loading files generated by AngelCode Bitmap Font
Generator 1.13.
The link is: http://www.angelcode.com/products/bmfont/
"""
__all__ = ["load_png", "load_fnt", "get_text_map", "load_font"]
def ... |
"""
Test cases for stix2patterns/helpers.py.
"""
from stix2patterns.helpers import leading_characters
def test_leading_characters():
assert leading_characters('[file:size = 1280]', 2) == '[f'
assert leading_characters(' [file:size = 1280]', 2) == '[f'
assert leading_characters('( [file:size = 1280])', 2... |
"""Dataset Tests (core methods)"""
import copy
import json
import re
import tempfile
from os import remove
from os.path import join
import pytest
from hdx.utilities.dictandlist import merge_two_dictionaries
from hdx.utilities.loader import load_yaml
from hdx.api import __version__
from hdx.api.configuration import Co... |
class SkillArmor:
def __init__(self, dbRow):
self.id = dbRow[0]
self.skillMaxLevel = dbRow[1]
self.armorID = dbRow[2]
self.armorName = dbRow[3]
self.armorRarity = dbRow[4]
self.armorType = dbRow[5]
self.skillLevel = dbRow[6]
def __repr__(self):
return f"{self.__dict__!r}" |
#!/usr/bin/env python3
# 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.
from parlai.core.worlds import World
from parlai.chat_service.services.messenger.worlds import OnboardWorld
# --------... |
#!/usr/bin/env python
from sseclient import SSEClient
from Queue import Queue
import requests
import json
import threading
import socket
import sys
import time
from text import Text
from pprint import pprint
from led.eyes import EyeChanger
BASE_DB = 'https://robotman.firebaseIO.com/'
DB = BASE_DB + 'control/'
URL = D... |
import sys
import json
import time
import uuid
import redis
def AD():
ret = {}
ret['adId'] = 0
ret['campaignId'] = 0
ret['keyWords'] = []
ret['relevanceScore'] = 0
ret['pClick'] = 0
ret['bidPrice'] = 0
ret['rankScore'] = 0
ret['qualityScore'] = 0
ret['costPerClick'] = 0
ret... |
# this cmd print itself,
# but this trick read file,it's not a QUINE
print open(__file__).read()
|
import time
import numpy as np
default_header = {
'User-Agent': 'SOME_UA_STRING',
}
asian_proxies = {
'http': 'SOME_PROXY',
'https': 'SOME_PROXY'
}
global_proxies = {
'http': 'SOME_PROXY',
'https': 'SOME_PROXY'
}
def random_delay(min=15, max=17):
delay = np.random.rand() * (max-min) + min
... |
from broker.broker import Broker
__all__ = ["Broker"]
|
import itertools
with open("day_25/input.txt") as file:
board = [list(line.strip()) for line in file.readlines()]
SIZE_X = len(board[0])
SIZE_Y = len(board)
STEP_COUNTER = itertools.count(1)
has_changed = True
while has_changed:
has_changed = False
step = next(STEP_COUNTER)
for direction, size in z... |
# Created by Giuseppe Paolo
# Date: 27/08/2020
from gym.envs.registration import register
register(
id='CollectBall-v0',
entry_point='gym_collectball.envs:CollectBall'
) |
import tensorflow as tf
import hyperchamber as hc
def repeating_block(component, net, depth, filter=3):
ops = component.ops
config = component.config
layer_regularizer = config.layer_regularizer
filter_size_w = filter
filter_size_h = filter
filter = [1,filter_size_w,filter_size_h,1]
stride ... |
#By Ashok Kumar Chaudhary
""" This Code loads data and extract features from them
and label them."""
import myfeat
import pandas as pd
import numpy as np
from numpy import matrix
import xlwt
from scipy.stats import kurtosis, skew
import matplotlib.pyplot as plt
book = xlwt.Workbook(encoding="utf-8")
sheet1 = book... |
from qfunction.base.base import *
from numpy import sin, cos
import numpy as np
from math import atan
def q_sin(u,q,cpx=False,israd=True):
u = radian(u) if( not israd) else u
b = 1j
u=u*1j
if cpx:
return ((q_exp(u,q)-q_exp(-u,q)))/(2*b)
else:
return (((q_exp(u,q)-q_exp(-u,q)))/(2*b)... |
# Sayangku Virtual Asisstant Projects
import speech_recognition as sr
import pyttsx3
import wikipedia
import os
import datetime
import sys
import brainlypy
from translate import Translator
recognizer = sr.Recognizer()
engine = pyttsx3.init()
voices = engine.getProperty('voices')
engine.setProperty('voice', voices[1... |
import json
import logging
from typing import Tuple
import joblib
import numpy as np
import pandas as pd
import typer
from scipy.stats import randint
from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import RandomizedSearchCV, train_test_split
cli = typer.Typer()
def optimized_train(X... |
from __future__ import absolute_import
import logging
from django.conf import settings
from novaclient import client as nova_client
from horizon.utils import functions as utils
from horizon.utils.memoized import memoized # noqa
from horizon.utils.memoized import memoized_with_request # noqa
from openstack_dashbo... |
from __future__ import absolute_import, print_function
import torch
import torch.nn as nn
import torch.nn.functional as F
from code.models.backbone.ResNet_Dilated import _ConvBnReLU
class _ImagePool(nn.Module):
def __init__(self, in_ch, out_ch):
super().__init__()
self.pool = nn.AdaptiveAvgPool2d(... |
"""
An Armstrong number is an n-digit number that is equal to the sum of the n'th
powers of its digits. Determine if the input numbers are Armstrong numbers.
INPUT SAMPLE:
Your program should accept as its first argument a path to a filename. Each
line in this file has a positive integer. E.g.
6
153
351
OUTPUT SAMP... |
# Generated by Django 2.2.5 on 2019-09-20 21:46
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('mesfactory', '0007_auto_20190917_2236'),
]
operations = [
migrations.AlterModelOptions(
name='f... |
from django import forms
from announcement.models import Announcement
class AnnouncementForm(forms.ModelForm):
class Meta():
model = Announcement
fields = ('author', 'title', 'text', 'picture') |
# A Naive recursive Python program to fin minimum number
# operations to convert str1 to str2
def edit_distance(str1,str2, m, n):
# If the first string is empty. the only option
# is to insert all characters of second string
# into the first
if m == 0:
return n
# Similarly, it goes the op... |
import os
from math import factorial
from itertools import permutations
def borrarPantalla(): #Definimos la función estableciendo el nombre que queramos
if os.name == "posix":
os.system ("clear")
elif os.name == "ce" or os.name == "nt" or os.name == "dos":
os.system ("cls")
def getFileName()... |
from networkx import DiGraph
from .cvrp_solver import CVRPSolver, Truck, CVRPDefinition
from .util import closest_neighbor
class GreedyCVRPSolver(CVRPSolver):
def get_info(self) -> str:
return 'Greedy'
def solve_cvrp(self, problem: CVRPDefinition) -> DiGraph:
depot = 'Depot'
solution = DiGraph()
solution... |
"""
Defaults module for AWS cleanup
"""
AWS_REGION = 'us-east-2'
CLUSTER_PREFIXES_TO_EXCLUDE_FROM_DELETION = {'jnk': '36'}
MINIMUM_CLUSTER_RUNNING_TIME_FOR_DELETION = 10
AWS_CLOUDFORMATION_TAG = 'aws:cloudformation:stack-id'
CONFIRMATION_ANSWER = 'yes-i-am-sure-i-want-to-proceed'
|
from django.core.urlresolvers import reverse
from django.db import models
from django.contrib.auth.models import User
class Staff(models.Model):
user = models.OneToOneField(User)
about = models.TextField(max_length=1024)
def __str__(self):
return self.user.get_full_name()
def get_url(self):
... |
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