| import sys,os | |
| import curses | |
| def draw_menu(stdscr): | |
| k = 0 | |
| cursor_x = 0 | |
| cursor_y = 0 | |
| # Clear and refresh the screen for a blank canvas | |
| stdscr.clear() |
| #Uninstall 3D Builder | |
| Get-AppxPackage *3dbuilder* | Remove-AppxPackage | |
| #Uninstall Alarms and Clock | |
| Get-AppxPackage *windowsalarms* | Remove-AppxPackage | |
| #Uninstall Calculator | |
| Get-AppxPackage *windowscalculator* | Remove-AppxPackage | |
| #Uninstall Calendar and Mail: |
| #!/usr/bin/env python3 | |
| import sys | |
| import re | |
| import shutil | |
| import argparse | |
| import binascii | |
| # | |
| # Author: Daxda |
| import collections | |
| def dict_merge(dct, merge_dct): | |
| """ Recursive dict merge. Inspired by :meth:``dict.update()``, instead of | |
| updating only top-level keys, dict_merge recurses down into dicts nested | |
| to an arbitrary depth, updating keys. The ``merge_dct`` is merged into | |
| ``dct``. | |
| :param dct: dict onto which the merge is executed | |
| :param merge_dct: dct merged into dct |
| import matplotlib.pyplot as plt | |
| def draw_neural_net(ax, left, right, bottom, top, layer_sizes): | |
| ''' | |
| Draw a neural network cartoon using matplotilb. | |
| :usage: | |
| >>> fig = plt.figure(figsize=(12, 12)) | |
| >>> draw_neural_net(fig.gca(), .1, .9, .1, .9, [4, 7, 2]) | |
| # The MIT License (MIT) | |
| # Copyright (c) 2016 Vladimir Ignatev | |
| # | |
| # Permission is hereby granted, free of charge, to any person obtaining | |
| # a copy of this software and associated documentation files (the "Software"), | |
| # to deal in the Software without restriction, including without limitation | |
| # the rights to use, copy, modify, merge, publish, distribute, sublicense, | |
| # and/or sell copies of the Software, and to permit persons to whom the Software | |
| # is furnished to do so, subject to the following conditions: | |
| # |
| artifactory_url = 'artifactory.com' # your artifactory instance | |
| artifactory_username = 'username' # your username | |
| artifcatory_password = 'password' # your password | |
| content_type = 'application/java-archive' # your content-type header | |
| filename = 'file' # your file to upload (in current working directory) | |
| url = artifactory_url + '/' + filename # where we want the file stored on artifactory | |
| # checksums are useful for making sure the upload was successful | |
| headers = {'content-type': content_type, |
| あせ (・_・;) 顔文字 | |
| あせ (･∀･；) 顔文字 | |
| あせ (＾ω＾;;) 顔文字 | |
| あせ (ﾟ∀ﾟ ；) 顔文字 | |
| あせ (ﾟ∀ﾟ ；)ﾀﾗｰ 顔文字 | |
| あたふた ヽ(´･ω･｀ヽ) 顔文字 | |
| あつい (｡＞﹏＜) 顔文字 | |
| あつい (｡＞﹏＜)あㄘ”ゅい 顔文字 | |
| あつい (>﹏<｡Ξ｡>﹏<) 顔文字 | |
| あつい ι(´Д｀υ) 顔文字 |
In general, check the crt/host_config.h file to find out which versions are supported.
Sometimes it is possible to hack the requirements there to get some newer versions working, too :)
Thrust version can be found in $CUDA_ROOT/include/thrust/version.h.
Download Archives: https://developer.nvidia.com/cuda-toolkit-archive
Release notes for CUDA Toolkit (CTK):
