def test_export_spelling(export_test_dir, unspecified_test_corpus):
d = generate_discourse(unspecified_test_corpus)
export_path = os.path.join(export_test_dir, 'test_export_spelling.txt')
export_discourse_spelling(d, export_path, single_line = False)
d2 = load_discourse_spelling('test', export_path)
for k in unspecified_test_corpus.keys():
assert(d2.lexicon[k].spelling == unspecified_test_corpus[k].spelling)
assert(d2.lexicon[k].frequency == unspecified_test_corpus[k].frequency)
def test_export_spelling(export_test_dir, unspecified_test_corpus):
d = generate_discourse(unspecified_test_corpus)
export_path = os.path.join(export_test_dir, 'test_export_spelling.txt')
export_discourse_spelling(d, export_path, single_line=False)
d2 = load_discourse_spelling('test', export_path)
for k in unspecified_test_corpus.keys():
assert (d2.lexicon[k].spelling == unspecified_test_corpus[k].spelling)
assert (
d2.lexicon[k].frequency == unspecified_test_corpus[k].frequency)
def test_export_transcription(export_test_dir, unspecified_test_corpus):
d = generate_discourse(unspecified_test_corpus)
export_path = os.path.join(export_test_dir, 'test_export_transcription.txt')
export_discourse_transcription(d, export_path, single_line = False)
d2 = load_discourse_transcription('test', export_path)
words = sorted([x for x in unspecified_test_corpus], key = lambda x: x.transcription)
words2 = sorted([x for x in d2.lexicon], key = lambda x: x.transcription)
for i,w in enumerate(words):
w2 = words2[i]
assert(w.transcription == w2.transcription)
assert(w.frequency == w2.frequency)
def test_export_ilg(export_test_dir, unspecified_test_corpus):
d = generate_discourse(unspecified_test_corpus)
export_path = os.path.join(export_test_dir, 'test_export_ilg.txt')
export_discourse_ilg(d, export_path)
d2 = load_discourse_ilg('test', export_path)
for k in unspecified_test_corpus.keys():
assert(d2.lexicon[k].spelling == unspecified_test_corpus[k].spelling)
assert(d2.lexicon[k].transcription == unspecified_test_corpus[k].transcription)
assert(d2.lexicon[k].frequency == unspecified_test_corpus[k].frequency)
assert(d2.lexicon == unspecified_test_corpus)
def test_export_ilg(export_test_dir, unspecified_test_corpus):
d = generate_discourse(unspecified_test_corpus)
export_path = os.path.join(export_test_dir, 'test_export_ilg.txt')
export_discourse_ilg(d, export_path)
d2 = load_discourse_ilg('test', export_path)
for k in unspecified_test_corpus.keys():
assert (d2.lexicon[k].spelling == unspecified_test_corpus[k].spelling)
assert (d2.lexicon[k].transcription ==
unspecified_test_corpus[k].transcription)
assert (
d2.lexicon[k].frequency == unspecified_test_corpus[k].frequency)
assert (d2.lexicon == unspecified_test_corpus)
def test_export_transcription(export_test_dir, unspecified_test_corpus):
d = generate_discourse(unspecified_test_corpus)
export_path = os.path.join(export_test_dir,
'test_export_transcription.txt')
export_discourse_transcription(d, export_path, single_line=False)
d2 = load_discourse_transcription('test', export_path)
words = sorted([x for x in unspecified_test_corpus],
key=lambda x: x.transcription)
words2 = sorted([x for x in d2.lexicon], key=lambda x: x.transcription)
for i, w in enumerate(words):
w2 = words2[i]
assert (w.transcription == w2.transcription)
assert (w.frequency == w2.frequency)
def test_discourse_generate(unspecified_test_corpus):
d = generate_discourse(unspecified_test_corpus)
assert(isinstance(d, Discourse))
def specified_discourse_corpus():
fm = spe_specifier()
c = unspecified_test_corpus()
d = generate_discourse(c)
d.lexicon.set_feature_matrix(fm)
return d
def unspecified_discourse_corpus():
c = unspecified_test_corpus()
d = generate_discourse(c)
return d
def specified_discourse_corpus():
fm = spe_specifier()
c = unspecified_test_corpus()
d = generate_discourse(c)
d.lexicon.set_feature_matrix(fm)
return d
def unspecified_discourse_corpus():
c = unspecified_test_corpus()
d = generate_discourse(c)
return d
def test_discourse_generate(unspecified_test_corpus):
d = generate_discourse(unspecified_test_corpus)
assert (isinstance(d, Discourse))
