import json import numpy as np import torch def get_hparams_from_file(config_path): with open(config_path, "r", encoding="utf-8") as f: data = f.read() config = json.loads(data) hparams = HParams(**config) return hparams class HParams: def __init__(self, **kwargs): for k, v in kwargs.items(): if type(v) == dict: v = HParams(**v) self[k] = v def keys(self): return self.__dict__.keys() def items(self): return self.__dict__.items() def values(self): return self.__dict__.values() def __len__(self): return len(self.__dict__) def __getitem__(self, key): return getattr(self, key) def __setitem__(self, key, value): return setattr(self, key, value) def __contains__(self, key): return key in self.__dict__ def __repr__(self): return self.__dict__.__repr__() def string_to_bits(string, pad_len=8): # Convert each character to its ASCII value ascii_values = [ord(char) for char in string] # Convert ASCII values to binary representation binary_values = [bin(value)[2:].zfill(8) for value in ascii_values] # Convert binary strings to integer arrays bit_arrays = [[int(bit) for bit in binary] for binary in binary_values] # Convert list of arrays to NumPy array numpy_array = np.array(bit_arrays) numpy_array_full = np.zeros((pad_len, 8), dtype=numpy_array.dtype) numpy_array_full[:, 2] = 1 max_len = min(pad_len, len(numpy_array)) numpy_array_full[:max_len] = numpy_array[:max_len] return numpy_array_full def bits_to_string(bits_array): # Convert each row of the array to a binary string binary_values = [''.join(str(bit) for bit in row) for row in bits_array] # Convert binary strings to ASCII values ascii_values = [int(binary, 2) for binary in binary_values] # Convert ASCII values to characters output_string = ''.join(chr(value) for value in ascii_values) return output_string