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from .utils import format_time
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import numpy as np
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def training_progress(iteration, total, loss, elapsed, length=50, fill='=', end='\n'):
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"""
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Creates a custom training progress bar in the console.
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Parameters:
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- iteration (int): current iteration (from 1 to total)
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- total (int): total number of iterations
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- loss (float): batch loss
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- elapsed (float): elapsed time in seconds
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- length (int): character length of the bar
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- fill (str): character to use for the filled part of the bar
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- end (str): character to use after progress bar is done, iteration == total
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"""
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percent = "{0:.1f}%".format(100 * (iteration / float(total)))
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filled_length = int(length * iteration // total)
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bar = fill * filled_length + '-' * (length - filled_length)
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message = f' Batch {iteration :>{len(str(total))}}/{total} [{bar}] {percent:<6} time: {format_time(elapsed)[6:]}' \
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f' Loss: {np.format_float_scientific(loss, unique=False, exp_digits=2, precision=4)}'
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if iteration == 1:
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print(message, end='')
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elif iteration == total:
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print('\b' * len(message), end='')
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print(message, end=end)
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else:
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print('\b' * len(message), end='')
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print(message, end='')
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