Files
kubernetes/third_party/PyYAML/tests/lib3/test_tokens.py
Zach Loafman 43b1668dae Initial commit of third_party/PyYAML:
Both @jlowdermilk and I have tried to use this for initial
configuration work. It's cheaper just to import it for now:

Name: PyYAML
Version: 3.11
Summary: YAML parser and emitter for Python
Home-page: http://pyyaml.org/wiki/PyYAML
Author: Kirill Simonov
Author-email: xi@resolvent.net
License: MIT
Download-URL: http://pyyaml.org/download/pyyaml/PyYAML-3.11.tar.gz
Description: YAML is a data serialization format designed for human readability
        and interaction with scripting languages.  PyYAML is a YAML parser
        and emitter for Python.

        PyYAML features a complete YAML 1.1 parser, Unicode support, pickle
        support, capable extension API, and sensible error messages.  PyYAML
        supports standard YAML tags and provides Python-specific tags that
        allow to represent an arbitrary Python object.

        PyYAML is applicable for a broad range of tasks from complex
        configuration files to object serialization and persistance.
2015-03-10 13:08:54 -07:00

78 lines
2.2 KiB
Python

import yaml
import pprint
# Tokens mnemonic:
# directive: %
# document_start: ---
# document_end: ...
# alias: *
# anchor: &
# tag: !
# scalar _
# block_sequence_start: [[
# block_mapping_start: {{
# block_end: ]}
# flow_sequence_start: [
# flow_sequence_end: ]
# flow_mapping_start: {
# flow_mapping_end: }
# entry: ,
# key: ?
# value: :
_replaces = {
yaml.DirectiveToken: '%',
yaml.DocumentStartToken: '---',
yaml.DocumentEndToken: '...',
yaml.AliasToken: '*',
yaml.AnchorToken: '&',
yaml.TagToken: '!',
yaml.ScalarToken: '_',
yaml.BlockSequenceStartToken: '[[',
yaml.BlockMappingStartToken: '{{',
yaml.BlockEndToken: ']}',
yaml.FlowSequenceStartToken: '[',
yaml.FlowSequenceEndToken: ']',
yaml.FlowMappingStartToken: '{',
yaml.FlowMappingEndToken: '}',
yaml.BlockEntryToken: ',',
yaml.FlowEntryToken: ',',
yaml.KeyToken: '?',
yaml.ValueToken: ':',
}
def test_tokens(data_filename, tokens_filename, verbose=False):
tokens1 = []
tokens2 = open(tokens_filename, 'r').read().split()
try:
for token in yaml.scan(open(data_filename, 'rb')):
if not isinstance(token, (yaml.StreamStartToken, yaml.StreamEndToken)):
tokens1.append(_replaces[token.__class__])
finally:
if verbose:
print("TOKENS1:", ' '.join(tokens1))
print("TOKENS2:", ' '.join(tokens2))
assert len(tokens1) == len(tokens2), (tokens1, tokens2)
for token1, token2 in zip(tokens1, tokens2):
assert token1 == token2, (token1, token2)
test_tokens.unittest = ['.data', '.tokens']
def test_scanner(data_filename, canonical_filename, verbose=False):
for filename in [data_filename, canonical_filename]:
tokens = []
try:
for token in yaml.scan(open(filename, 'rb')):
tokens.append(token.__class__.__name__)
finally:
if verbose:
pprint.pprint(tokens)
test_scanner.unittest = ['.data', '.canonical']
if __name__ == '__main__':
import test_appliance
test_appliance.run(globals())