def _test_english_rules(verbose=False):
"""A suite of tests for each morphology rule.
"""
print
print "Testing rules:"
if _POSITIVE_CASES.keys() != _NEGATIVE_CASES.keys():
sys.exit("ERROR english_rules.py: either missing positive or negative cases example to test")
positive_morpho_input = _test_generate_morpho_input(_POSITIVE_CASES)
negative_morpho_input = _test_generate_morpho_input(_NEGATIVE_CASES)
morphopro_input = "\n".join(positive_morpho_input + [""] + negative_morpho_input)
morphopro_output = morpho_pro.process(morphopro_input, base_filename="english_rules_text", overwrite=True)
if len(morphopro_output) != len(_POSITIVE_CASES.keys() + _NEGATIVE_CASES.keys()):
sys.exit("ERROR _test_english_rules(): morphopro output did not processing input correctly")
if verbose:
print "\tPOSITIVE: "
pos_cases = len(_POSITIVE_CASES.keys())
positive_test_results = _test_cases(_POSITIVE_CASES, morphopro_output[0:pos_cases], verbose=verbose)
if verbose:
print "\tNEGATIVE: ",
negative_test_results = _test_cases(_NEGATIVE_CASES, morphopro_output[pos_cases:], verbose=verbose)
# summarize and output. indicate if everything passed!
print
print "SUMMARY: "
did_not_match = [rule for rule in positive_test_results if positive_test_results[rule] is False]
did_match = [rule for rule in negative_test_results if negative_test_results[rule] is True]
print "\tPOSITIVE: Passed {}/ Total {}".format(len(positive_test_results) - len(did_not_match), len(positive_test_results))
if len(did_not_match):
for no_match in did_not_match:
print "\t\tPOSITIVE TEST FAILED: ({})".format(no_match)
print "\tNEGATIVE: Passed {}/ Total {}".format(len(negative_test_results) - len(did_match), len(negative_test_results))
if len(did_match):
for match in did_match:
print "\t\tNEGATIVE TEST FAILED: ({})".format(match)
def _test_english_rules(verbose=False):
"""A suite of tests for each morphology rule.
"""
print
print "Testing rules:"
if _POSITIVE_CASES.keys() != _NEGATIVE_CASES.keys():
sys.exit("ERROR english_rules.py: either missing positive or negative cases example to test")
positive_morpho_input = _test_generate_morpho_input(_POSITIVE_CASES)
negative_morpho_input = _test_generate_morpho_input(_NEGATIVE_CASES)
morphopro_input = "\n".join(positive_morpho_input + [""] + negative_morpho_input)
morphopro_output = morpho_pro.process(morphopro_input, base_filename="english_rules_text", overwrite=True)
if len(morphopro_output) != len(_POSITIVE_CASES.keys() + _NEGATIVE_CASES.keys()):
sys.exit("ERROR _test_english_rules(): morphopro output did not processing input correctly")
if verbose:
print "\tPOSITIVE: "
pos_cases = len(_POSITIVE_CASES.keys())
positive_test_results = _test_cases(_POSITIVE_CASES, morphopro_output[0:pos_cases], verbose=verbose)
if verbose:
print "\tNEGATIVE: ",
negative_test_results = _test_cases(_NEGATIVE_CASES, morphopro_output[pos_cases:], verbose=verbose)
# summarize and output. indicate if everything passed!
print
print "SUMMARY: "
did_not_match = [rule for rule in positive_test_results if positive_test_results[rule] is False]
did_match = [rule for rule in negative_test_results if negative_test_results[rule] is True]
print "\tPOSITIVE: Passed {}/ Total {}".format(len(positive_test_results) - len(did_not_match), len(positive_test_results))
if len(did_not_match):
for no_match in did_not_match:
print "\t\tPOSITIVE TEST FAILED: ({})".format(no_match)
print "\tNEGATIVE: Passed {}/ Total {}".format(len(negative_test_results) - len(did_match), len(negative_test_results))
if len(did_match):
for match in did_match:
print "\t\tNEGATIVE TEST FAILED: ({})".format(match)
from code.learning import english_rules
from code.notes.utilities.pre_processing import morpho_pro
print morpho_pro.process("he\nhad\nsaid")
# print english_rules._tests_active_voice()
# print english_rules._tests_passive_voice()
#print english_rules._tests_auxiliar()
# print english_rules._do_did()
# print english_rules._infinitive()
# english_rules._single_word_VP_test()
# english_rules._two_piece_VP()
# english_rules._prepart()
# english_rules._adjectives()
# english_rules._test_english_rules(verbose=True)
#from code.notes.utilities.pre_processing import morpho_pro
#corpus = "\n".join(["he","is","teaching"])
#print corpus
