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import torch

# Create a tensor with values between 0 and 1
tensor = torch.rand(3, 3)

# Set a threshold value
threshold = 0.5

# Use torch.where to threshold the tensor
binary_tensor = torch.where(tensor > threshold, torch.tensor(1), torch.tensor(0))

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import torch
from torch.utils.data import DataLoader, TensorDataset

# Define the dataset
X = torch.Tensor([[1, 2], [3, 4], [5, 6], [7, 8]])
y = torch.Tensor([0, 1, 0, 1])
dataset = TensorDataset(X, y)

# Create the dataloader
dataloader = DataLoader(dataset, batch_size=2, shuffle=True)

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coverage:  ## Run tests with coverage
	coverage erase
	coverage run --include=podsearch/* -m pytest -ra
	coverage report -m

deps:  ## Install dependencies
	pip install black coverage flake8 mypy pylint pytest tox

lint:  ## Lint and static-check
	flake8 podsearch

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## Check space on specfic directory
du -h --max-depth=0 /u/iali
du -h --max-depth=1 /u/iali

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tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname

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# Create translation table.
trans = str.maketrans("abcdefghijklmnopqrstuvwxyz",
    "nopqrstuvwxyzabcdefghijklm")

# Apply rot13 translation.
print("gandalf".translate(trans))
print("gandalf".translate(trans).translate(trans))

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py.test test_sample.py --collect-only  # collects information test suite

py.test test_sample.py -v  # outputs verbose messages

py.test -q test_sample.py  # omit filename output

python -m pytest -q test_sample.py  # calling pytest through python

py.test --markers  # show available markers

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# copy from local machine to remote machine
scp localfile user@host:/path/to/whereyouwant/thefile


# copy from remote machine to local machine
scp user@host:/path/to/remotefile localfile

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# Encode: unicode code point to bytes

>>> s = u'Café'
>>> type(s.encode('utf-8'))
<class 'bytes'>
Decode: bytes to unicode code point
>>> s = bytes('Café', encoding='utf-8')
>>> s.decode('utf-8')
'Café'
Get unicode code point

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# -*- coding: utf-8 -*-

import json
from codecs import open

o = { 'text': 'پنجاب' }

with open('foo.json', 'w', encoding= 'utf-8') as fp:
    json.dump(o, fp, ensure_ascii= False)