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""" | |
Created on Sep 24, 2013 | |
@author: RandomHardcoreJerks | |
Requires pywin32 | |
original: http://code.activestate.com/recipes/474121/ | |
# HtmlClipboard |
If a project has to have multiple git repos (e.g. Bitbucket and Github) then it's better that they remain in sync.
Usually this would involve pushing each branch to each repo in turn, but actually Git allows pushing to multiple repos in one go.
If in doubt about what git is doing when you run these commands, just
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{0: 'tench, Tinca tinca', | |
1: 'goldfish, Carassius auratus', | |
2: 'great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias', | |
3: 'tiger shark, Galeocerdo cuvieri', | |
4: 'hammerhead, hammerhead shark', | |
5: 'electric ray, crampfish, numbfish, torpedo', | |
6: 'stingray', | |
7: 'cock', | |
8: 'hen', | |
9: 'ostrich, Struthio camelus', |
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/** | |
* Copyright (c) 2016, Tiernan Cridland | |
* | |
* Permission to use, copy, modify, and/or distribute this software for any purpose with or without fee is hereby | |
* granted, provided that the above copyright notice and this permission notice appear in all copies. | |
* | |
* THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS SOFTWARE INCLUDING ALL | |
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, | |
* INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER | |
* IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR |
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import asyncio | |
import random | |
class Hub(): | |
def __init__(self): | |
self.subscriptions = set() | |
def publish(self, message): |
I updated my package autolike today using the following steps:
- Changed the version number in
setup.py
and modify package as necessary.
Assuming you’re in the root of your project directory, then run:
pip install -e .
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import torch | |
from torchvision import datasets | |
class ImageFolderWithPaths(datasets.ImageFolder): | |
"""Custom dataset that includes image file paths. Extends | |
torchvision.datasets.ImageFolder | |
""" | |
# override the __getitem__ method. this is the method that dataloader calls | |
def __getitem__(self, index): |
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def get_jacobian(net, x, noutputs): | |
x = x.squeeze() | |
n = x.size()[0] | |
x = x.repeat(noutputs, 1) | |
x.requires_grad_(True) | |
y = net(x) | |
y.backward(torch.eye(noutputs)) | |
return x.grad.data |
I suggest that you create one or more Api.fs
files to expose F# code in a C# friendly way.
In this file:
- Define functions with
PascalCase
names. They will appear to C# as static methods. - Functions should use tuple-style declarations (like C#) rather than F#-style params with spaces.
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