<human>:  Give me a Python function to normalize histogram logs.
<bot>: Here is a Python function to normalize histogram logs

import numpy as np

def normalize_histogram_log(histogram):
  """Normalize histogram by dividing each bin by the total number of entries."""
  total = sum(histogram.values())
  return {k: v / total for k, v in list(histogram.items())}

# Enter the histogram
histogram = {"a": 10, "b": 20, "c": 30}

# Calling the function
normalized_histogram = normalize_histogram_log(histogram)

print(normalized_histogram)

#Example Output
# {'a': 0.16666666666666666, 'b': 0.3333333333333333, 'c': 0.5}

#Remember to inspect code for bugs.