# tests with BPE tokenizer import argparse from transformers import AutoTokenizer parser = argparse.ArgumentParser() parser.add_argument("dir_tokenizer", help="directory containing 'tokenizer.model' file") parser.add_argument("--fname-tok", help="path to a text file to tokenize") args = parser.parse_args() dir_tokenizer = args.dir_tokenizer tokenizer = AutoTokenizer.from_pretrained(dir_tokenizer) tests = [ "", " ", " ", " ", "\t", "\n", "\t\n", "Hello world", " Hello world", "Hello World", " Hello World", " Hello World!", "Hello, world!", " Hello, world!", " this is πŸ¦™.cpp", "w048 7tuijk dsdfhu", "Π½Π΅Ρ‰ΠΎ Π½Π° Π‘ΡŠΠ»Π³Π°Ρ€ΡΠΊΠΈ", "αž€αžΆαž“αŸ‹αžαŸ‚αž–αž·αžŸαŸαžŸαž’αžΆαž…αžαž›αž…αŸαž‰", "πŸš€ (normal) πŸ˜Άβ€πŸŒ«οΈ (multiple emojis concatenated) βœ… (only emoji that has its own token)", "Hello", " Hello", " Hello", " Hello", " Hello", " Hello\n Hello", "\n =", "' era", ] for text in tests: print('text: ', text) print(tokenizer.encode(text)) print(tokenizer.decode(tokenizer.encode(text))) print("\n\ntests for C++:\n") for text in tests: res = tokenizer.encode(text) k = text.replace('\n', '\\n') k = k.replace('\t', '\\t') k = '"' + k + '"' print("{ %-24s, { " % k, end='') for x in res: print("%7d," % x, end='') print(" }, },") print(tokenizer.encode('hello')) print(tokenizer.encode('world')) print(tokenizer.encode(' world')) print(tokenizer.encode('hello world')) fname_tok = args.fname_tok if fname_tok: print('tokenizing file: ', fname_tok) fname_out = fname_tok + '.tok' with open(fname_tok, 'r', encoding='utf-8') as f: lines = f.readlines() s = ''.join(lines) res = tokenizer.encode(s) # write to file with open(fname_out, 'w', encoding='utf-8') as f: for x in res: f.write(str(x) + ' \'' + tokenizer.decode(x) + '\'\n') print('len(res): ', len(res)) print('len(lines): ', len(lines)) print('results written to: ', fname_out)