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-rwxr-xr-xlibcxx/utils/parse-spec-results108
1 files changed, 108 insertions, 0 deletions
diff --git a/libcxx/utils/parse-spec-results b/libcxx/utils/parse-spec-results
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+++ b/libcxx/utils/parse-spec-results
@@ -0,0 +1,108 @@
+#!/usr/bin/env python3
+
+import argparse
+import csv
+import sys
+
+def parse_table(rows, table_title):
+ """
+ Parse a CSV table out of an iterator over rows.
+
+ Return a tuple containing (extracted headers, extracted rows).
+ """
+ in_table = False
+ rows_iter = iter(rows)
+ extracted = []
+ headers = None
+ while True:
+ try:
+ row = next(rows_iter)
+ except StopIteration:
+ break
+
+ if not in_table and row == [table_title]:
+ in_table = True
+ next_row = next(rows_iter)
+ assert next_row == [], f'There should be an empty row after the title of the table, found {next_row}'
+ headers = next(rows_iter) # Extract the headers
+ continue
+
+ elif in_table and row == []: # An empty row marks the end of the table
+ in_table = False
+ break
+
+ elif in_table:
+ extracted.append(row)
+
+ assert len(extracted) != 0, f'Could not extract rows from the table, this is suspicious. Table title was {table_title}'
+ assert headers is not None, f'Could not extract headers from the table, this is suspicious. Table title was {table_title}'
+
+ return (headers, extracted)
+
+def main(argv):
+ parser = argparse.ArgumentParser(
+ prog='parse-spec-results',
+ description='Parse SPEC result files (in CSV format) and extract the selected result table, in the selected format.')
+ parser.add_argument('filename', type=argparse.FileType('r'), nargs='+',
+ help='One of more CSV files to extract the results from. The results parsed from each file are concatenated '
+ 'together.')
+ parser.add_argument('--table', type=str, choices=['full', 'selected'], default='full',
+ help='The name of the table to extract from SPEC results. `full` means extracting the Full Results Table '
+ 'and `selected` means extracting the Selected Results Table. Default is `full`.')
+ parser.add_argument('--output-format', type=str, choices=['csv', 'lnt'], default='csv',
+ help='The desired output format for the data. `csv` is CSV format and `lnt` is a format compatible with '
+ '`lnt importreport` (see https://llvm.org/docs/lnt/importing_data.html#importing-data-in-a-text-file).')
+ parser.add_argument('--extract', type=str,
+ help='A comma-separated list of headers to extract from the table. If provided, only the data associated to '
+ 'those headers will be present in the resulting data. Invalid header names are diagnosed. Please make '
+ 'sure to use appropriate quoting for header names that contain spaces. This option only makes sense '
+ 'when the output format is CSV.')
+ parser.add_argument('--keep-not-run', action='store_true',
+ help='Keep entries whose \'Base Status\' is marked as \'NR\', aka \'Not Run\'. By default, such entries are discarded.')
+ args = parser.parse_args(argv)
+
+ if args.table == 'full':
+ table_title = 'Full Results Table'
+ elif args.table == 'selected':
+ table_title = 'Selected Results Table'
+
+ # Parse the headers and the rows in each file, aggregating all the results
+ headers = None
+ rows = []
+ for file in args.filename:
+ reader = csv.reader(file)
+ (parsed_headers, parsed_rows) = parse_table(reader, table_title)
+ assert headers is None or headers == parsed_headers, f'Found files with different headers: {headers} and {parsed_headers}'
+ headers = parsed_headers
+ rows.extend(parsed_rows)
+
+ # Remove rows that were not run unless we were asked to keep them
+ if not args.keep_not_run:
+ not_run = headers.index('Base Status')
+ rows = [row for row in rows if row[not_run] != 'NR']
+
+ if args.extract is not None:
+ if args.output_format != 'csv':
+ raise RuntimeError('Passing --extract requires the output format to be csv')
+ for h in args.extract.split(','):
+ if h not in headers:
+ raise RuntimeError(f'Header name {h} was not present in the parsed headers {headers}')
+
+ extracted_fields = [headers.index(h) for h in args.extract.split(',')]
+ headers = [headers[i] for i in extracted_fields]
+ rows = [[row[i] for i in extracted_fields] for row in rows]
+
+ # Print the results in the right format
+ if args.output_format == 'csv':
+ writer = csv.writer(sys.stdout)
+ writer.writerow(headers)
+ for row in rows:
+ writer.writerow(row)
+ elif args.output_format == 'lnt':
+ benchmark = headers.index('Benchmark')
+ time = headers.index('Est. Base Run Time')
+ for row in rows:
+ print(f'{row[benchmark].replace(".", "_")}.execution_time {row[time]}')
+
+if __name__ == '__main__':
+ main(sys.argv[1:])