mirror of
https://github.com/k2-fsa/icefall.git
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75 lines
1.9 KiB
Python
Executable File
75 lines
1.9 KiB
Python
Executable File
#!/usr/bin/env python3
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# Copyright 2022 Xiaomi Corp. (authors: Fangjun Kuang)
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#
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# See ../LICENSE for clarification regarding multiple authors
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import graphviz
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from icefall import is_module_available
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if not is_module_available("kaldifst"):
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raise ValueError("Please 'pip install kaldifst' first.")
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import kaldifst
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from icefall import NgramLm, NgramLmStateCost
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def generate_fst(filename: str):
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s = """
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3 5 1 1 3.00464
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3 0 3 0 5.75646
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0 1 1 1 12.0533
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0 2 2 2 7.95954
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0 9.97787
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1 4 2 2 3.35436
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1 0 3 0 7.59853
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2 0 3 0
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4 2 3 0 7.43735
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4 0.551239
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5 4 2 2 0.804938
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5 1 3 0 9.67086
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"""
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fst = kaldifst.compile(s=s, acceptor=False)
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fst.write(filename)
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fst_dot = kaldifst.draw(fst, acceptor=False, portrait=True)
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source = graphviz.Source(fst_dot)
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source.render(outfile=f"{filename}.svg")
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def main():
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filename = "test.fst"
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generate_fst(filename)
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ngram_lm = NgramLm(filename, backoff_id=3, is_binary=True)
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for label in [1, 2, 3, 4, 5]:
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print("---label---", label)
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p = ngram_lm.get_next_state_and_cost(state=5, label=label)
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print(p)
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print("---")
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state_cost = NgramLmStateCost(ngram_lm)
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s0 = state_cost.forward_one_step(1)
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print(s0.state_cost)
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s1 = s0.forward_one_step(2)
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print(s1.state_cost)
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s2 = s1.forward_one_step(2)
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print(s2.state_cost)
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if __name__ == "__main__":
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main()
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