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#!/usr/bin/env python
from __future__ import print_function
desc = """Generate the difference of two YAML files into a new YAML file (works on
pair of directories too). A new attribute 'Added' is set to True or False
depending whether the entry is added or removed from the first input to the
next.
The tools requires PyYAML."""
import yaml
# Try to use the C parser.
try:
from yaml import CLoader as Loader
except ImportError:
from yaml import Loader
import optrecord
import argparse
from collections import defaultdict
if __name__ == "__main__":
parser = argparse.ArgumentParser(description=desc)
parser.add_argument(
"yaml_dir_or_file_1",
help="An optimization record file or a directory searched for optimization "
"record files that are used as the old version for the comparison",
)
parser.add_argument(
"yaml_dir_or_file_2",
help="An optimization record file or a directory searched for optimization "
"record files that are used as the new version for the comparison",
)
parser.add_argument(
"--jobs",
"-j",
default=None,
type=int,
help="Max job count (defaults to %(default)s, the current CPU count)",
)
parser.add_argument(
"--max-size",
"-m",
default=100000,
type=int,
help="Maximum number of remarks stored in an output file",
)
parser.add_argument(
"--no-progress-indicator",
"-n",
action="store_true",
default=False,
help="Do not display any indicator of how many YAML files were read.",
)
parser.add_argument("--output", "-o", default="diff{}.opt.yaml")
args = parser.parse_args()
files1 = optrecord.find_opt_files(args.yaml_dir_or_file_1)
files2 = optrecord.find_opt_files(args.yaml_dir_or_file_2)
print_progress = not args.no_progress_indicator
all_remarks1, _, _ = optrecord.gather_results(files1, args.jobs, print_progress)
all_remarks2, _, _ = optrecord.gather_results(files2, args.jobs, print_progress)
added = set(all_remarks2.values()) - set(all_remarks1.values())
removed = set(all_remarks1.values()) - set(all_remarks2.values())
for r in added:
r.Added = True
for r in removed:
r.Added = False
result = list(added | removed)
for r in result:
r.recover_yaml_structure()
for i in range(0, len(result), args.max_size):
with open(args.output.format(i / args.max_size), "w") as stream:
yaml.dump_all(result[i : i + args.max_size], stream)
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