Addressing CR comments
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@ -2,15 +2,17 @@
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# This script takes a list of dictionary files and a plain text file and converts this text input file to CNTK text format.
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#
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# The input text file can contain N streams per line (N TAB-separated "columns") and should be accompanied by N dictionary files.
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# The input text file should be in the following form:
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# The input text file must contain N streams per line (N TAB-separated "columns") and should be accompanied by N dictionary files.
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# The input text file must be in the following form:
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# text1 TAB text2 TAB ... TAB textN
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# .....
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# where each line represents one sequence across all N input streams.
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# Each text consists of one or more space-separated word tokens (samples).
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#
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# Dictionary files are text files that are specified for all streams, so the #dictionaries = #columns in the input file.
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# A dictionary contains a single token per line. The zero-based line number becomes the numeric index of the token in the output CNTK text format file.
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# Dictionary files are text files that are required to be specified for all streams,
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# so the #dictionaries = #columns in the input file.
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# A dictionary contains a single token per line. The zero-based line number becomes the numeric index
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# of the token in the output CNTK text format file.
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# Example usage (i.e. for PennTreebank files):
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# sed -e 's/^<\/s> //' -e 's/ <\/s>$//' < en.txt > en.txt1
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@ -32,7 +34,8 @@ def convert(dictionaryStreams, inputs, output, annotated):
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line = line.rstrip('\r\n')
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columns = line.split("\t")
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if len(columns) != len(dictionaries):
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raise Exception("Number of dictionaries {0} does not correspond to the number of streams in line {1}:'{2}'".format(len(dictionaries), index, line))
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raise Exception("Number of dictionaries {0} does not correspond to the number of streams in line {1}:'{2}'"
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.format(len(dictionaries), index, line))
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_convertSequence(dictionaries, columns, sequenceId, output, annotated)
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sequenceId += 1
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@ -48,6 +51,8 @@ def _convertSequence(dictionaries, streams, sequenceId, output, annotated):
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output.write("\t")
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continue
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token = tokensPerStream[streamIndex][sampleIndex]
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if token not in dictionaries[streamIndex]:
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raise Exception("Token '{0}' cannot be found in the dictionary for stream {1}".format(token, streamIndex))
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value = dictionaries[streamIndex][token]
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output.write("\t|S" + str(streamIndex) + " "+ str(value) + ":1")
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if annotated:
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@ -56,8 +61,10 @@ def _convertSequence(dictionaries, streams, sequenceId, output, annotated):
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description="Transforms text file given dictionaries into CNTK text format.")
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parser.add_argument('--map', help='List of dictionaries, given in the same order as streams in the input files', nargs="+", required=True)
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parser.add_argument('--annotated', help='Whether to annotate indices with tokens. Default is false', choices=["True", "False"], default="False", required=False)
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parser.add_argument('--map', help='List of dictionaries, given in the same order as streams in the input files',
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nargs="+", required=True)
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parser.add_argument('--annotated', help='Whether to annotate indices with tokens. Default is false',
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choices=["True", "False"], default="False", required=False)
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parser.add_argument('--output', help='Name of the output file, stdout if not given', default="", required=False)
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parser.add_argument('--input', help='Name of the inputs files, stdin if not given', default="", nargs="*", required=False)
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args = parser.parse_args()
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@ -80,6 +87,7 @@ if __name__ == "__main__":
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#####################################################################################################
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import StringIO
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import pytest
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def test_simpleSanityCheck():
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dictionary1 = StringIO.StringIO("hello\nmy\nworld\nof\nnothing\n")
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@ -97,3 +105,12 @@ def test_simpleSanityCheck():
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expectedOutput.write("1\t\t|S1 3:1\n")
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assert expectedOutput.getvalue() == output.getvalue()
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def test_nonExistingWord():
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dictionary1 = StringIO.StringIO("hello\nmy\nworld\nof\nnothing\n")
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input = StringIO.StringIO("hello my\nworld of nonexistent\n")
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output = StringIO.StringIO()
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with pytest.raises(Exception) as info:
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convert([dictionary1], [input], output, False)
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assert info.value.message == "Token 'nonexistent' cannot be found in the dictionary for stream 0"
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