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Disabled rules:
* E203 Whitespace before ':' - disabled because we often use 'C' Style where values are aligned
* E211 Whitespace before '(' (E211) - disabled because we often use 'C' Style where values are aligned
* E221 Multiple spaces before operator - disabled because we often use 'C' Style where values are aligned
* E225 Missing whitespace around operator - disabled because it's broken so often it seems like a standard
* E231 Missing whitespace after ',', ';', or ':' - disabled because we often use 'C' Style where values are aligned
* E241 Multiple spaces after ',' - disabled because we often use 'C' Style where values are aligned
* E251 Unexpected spaces around keyword / parameter equals - disabled because it's broken so often it seems like a standard
* E261 At least two spaces before inline comment - disabled because it's broken so often it seems like a standard
* E266 Too many leading '#' for block comment - sometimes used as "section" separator
* E501 Line too long - disabled because it's broken so often it seems like a standard
* E701 Multiple statements on one line (colon) - broken only in convert.py when defining abstract methods (we can use# noqa instead)
* E704 Multiple statements on one line - broken only in convert.py when defining abstract methods (we can use# noqa instead)
93 lines
2.7 KiB
Python
93 lines
2.7 KiB
Python
# tests with SPM tokenizer
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import argparse
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from sentencepiece import SentencePieceProcessor
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parser = argparse.ArgumentParser()
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parser.add_argument("dir_tokenizer", help="directory containing 'tokenizer.model' file")
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parser.add_argument("--fname-tok", help="path to a text file to tokenize")
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args = parser.parse_args()
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dir_tokenizer = args.dir_tokenizer
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tokenizer = SentencePieceProcessor(dir_tokenizer + '/tokenizer.model')
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tests = [
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"",
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" ",
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" ",
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" ",
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"\t",
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"\n",
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"\t\n",
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"Hello world",
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" Hello world",
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"Hello World",
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" Hello World",
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" Hello World!",
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"Hello, world!",
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" Hello, world!",
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" this is 🦙.cpp",
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"w048 7tuijk dsdfhu",
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"нещо на Български",
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"កាន់តែពិសេសអាចខលចេញ",
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"🚀 (normal) 😶🌫️ (multiple emojis concatenated) ✅ (only emoji that has its own token)",
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"Hello",
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" Hello",
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" Hello",
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" Hello",
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" Hello",
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" Hello\n Hello",
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]
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for text in tests:
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print('text: ', text)
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print('\nwith bos:')
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print(tokenizer.encode(text, add_bos=True))
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print(tokenizer.decode(tokenizer.encode(text, add_bos=True)))
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print('\nwithout bos:')
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print(tokenizer.encode(text, add_bos=False))
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print(tokenizer.decode(tokenizer.encode(text, add_bos=False)))
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print("'" + tokenizer.id_to_piece(15043) + "'") # '_Hello'
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print("'" + tokenizer.id_to_piece(29871) + "'") # '_'
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print("'" + tokenizer.decode([15043]) + "'") # 'Hello'
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print("'" + tokenizer.decode([15043, 15043]) + "'") # 'Hello Hello'
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print("'" + tokenizer.decode([29871, 15043]) + "'") # ' Hello'
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print("'" + tokenizer.decode([29871, 15043, 29871, 15043]) + "'") # ' Hello Hello'
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print("\n\ntests for C++:\n")
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for text in tests:
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res = tokenizer.encode(text, add_bos=False)
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k = text.replace('\n', '\\n')
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k = k.replace('\t', '\\t')
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k = '"' + k + '"'
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print("{ %-24s, { " % k, end='')
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for x in res:
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print("%7d," % x, end='')
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print(" }, },")
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print(tokenizer.encode('hello'))
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print(tokenizer.encode('world'))
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print(tokenizer.encode(' world'))
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print(tokenizer.encode('hello world'))
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fname_tok = args.fname_tok
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if fname_tok:
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print('tokenizing file: ', fname_tok)
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fname_out = fname_tok + '.tok'
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with open(fname_tok, 'r', encoding='utf-8') as f:
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lines = f.readlines()
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s = ''.join(lines)
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res = tokenizer.encode(s, add_bos=True)
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# write to file
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with open(fname_out, 'w', encoding='utf-8') as f:
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for x in res:
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f.write(str(x) + ' \'' + tokenizer.decode(x) + '\'\n')
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print('len(res): ', len(res))
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print('len(lines): ', len(lines))
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print('results written to: ', fname_out)
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