BetterProgramming

import pygame
pygame.init()
window = pygame.display.set_mode((1200, 400))
track = pygame.image.load("track6.png")
car = pygame.image.load("tesla.png")
car = pygame.transform.scale(car, (30, 60))
car_x = 150
car_y = 300
cam_x_offset = 0
cam_y_offset = 0

boocs

VSCode/UE Intellisense Fixes Extension

Table of Contents

• Unreal Engine
  • Compatible
  • Incompatible
• General
• Features
  • Logs
• Requirements

p2or

# ##### BEGIN GPL LICENSE BLOCK #####
#
#  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 2
#  of the License, or (at your option) any later version.
#
#  This program is distributed in the hope that it will be useful,
#  but WITHOUT ANY WARRANTY; without even the implied warranty of
#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the

tin2tin

#import the bpy module to access blender API
import bpy

#WARNING: this is written and tested for blender 2.79
#blender 2.8 and newer will likely have a different python API

#create a property group, this is REALLY needed so that operators
#AND the UI can access, display and expose it to the user to change
#in here we will have all properties(variables) that is neccessary
class CustomPropertyGroup(bpy.types.PropertyGroup):

acbetter

#!/usr/bin/python3
# -*- coding: utf-8 -*-

from PyQt5.QtCore import Qt
from PyQt5.QtGui import QImage, QPixmap, QPalette, QPainter
from PyQt5.QtPrintSupport import QPrintDialog, QPrinter
from PyQt5.QtWidgets import QLabel, QSizePolicy, QScrollArea, QMessageBox, QMainWindow, QMenu, QAction, \
    qApp, QFileDialog

p2or

# ##### BEGIN GPL LICENSE BLOCK #####
#
#  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 2
#  of the License, or (at your option) any later version.
#
#  This program is distributed in the hope that it will be useful,
#  but WITHOUT ANY WARRANTY; without even the implied warranty of
#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the

jirihnidek

import bpy
import bmesh
import mathutils


def main():
    """
    Example of bmesh and shape keys
    """
    # Add basis shape

kastnerkyle

# variation to https://github.com/ryankiros/skip-thoughts/blob/master/decoding/search.py

def keras_rnn_predict(samples, empty=empty, rnn_model=model, maxlen=maxlen):
    """for every sample, calculate probability for every possible label
    you need to supply your RNN model and maxlen - the length of sequences it can handle
    """
    data = sequence.pad_sequences(samples, maxlen=maxlen, value=empty)
    return rnn_model.predict(data, verbose=0)

def beamsearch(predict=keras_rnn_predict,

nikitakit

"""
Beam decoder for tensorflow

Sample usage:

```
from tf_beam_decoder import  beam_decoder

decoded_sparse, decoded_logprobs = beam_decoder(
    cell=cell,

SourKream

class multiAttentionRNN(Recurrent):
    '''
    Word by Word attention model 
    # Arguments
        output_dim: output_dimensions
        init: weight initialization function.
            Can be the name of an existing function (str),
            or a Theano function (see: [initializations](../initializations.md)).
        inner_init: initialization function of the inner cells.