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spaCy
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naming

This commit is contained in:
svlandeg 2020-10-13 18:52:37 +02:00
parent 6ccacff54e
commit ff83bfae3f
1 changed files with 8 additions and 8 deletions
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16
spacy/tests/pipeline/test_models.py
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@ -39,7 +39,7 @@ def get_docs():
def test_components_batching_list(name):
nlp = English()
proc = nlp.create_pipe(name)
util_batch_unbatch_List(proc.model, get_docs(), list_floats)
util_batch_unbatch_docs_list(proc.model, get_docs(), list_floats)
# Test components with a model of type Model[List[Doc], Floats2d]
@ -48,7 +48,7 @@ def test_components_batching_array(name):
nlp = English()
in_data = [nlp(text) for text in texts]
proc = nlp.create_pipe(name)
util_batch_unbatch_Array(proc.model, get_docs(), array)
util_batch_unbatch_docs_array(proc.model, get_docs(), array)
LAYERS = [
@ -63,19 +63,19 @@ def test_layers_batching_all(model, in_data, out_data):
# In = List[Doc]
if isinstance(in_data, list) and isinstance(in_data[0], Doc):
if isinstance(out_data, OPS.xp.ndarray) and out_data.ndim == 2:
util_batch_unbatch_Array(model, in_data, out_data)
util_batch_unbatch_docs_array(model, in_data, out_data)
elif (
isinstance(out_data, list)
and isinstance(out_data[0], OPS.xp.ndarray)
and out_data[0].ndim == 2
):
util_batch_unbatch_List(model, in_data, out_data)
util_batch_unbatch_docs_list(model, in_data, out_data)
elif isinstance(out_data, Ragged):
util_batch_unbatch_Ragged(model, in_data, out_data)
util_batch_unbatch_docs_ragged(model, in_data, out_data)
def util_batch_unbatch_List(
def util_batch_unbatch_docs_list(
model: Model[List[Doc], List[Array2d]], in_data: List[Doc], out_data: List[Array2d]
):
with data_validation(True):
@ -86,7 +86,7 @@ def util_batch_unbatch_List(
assert_almost_equal(Y_batched[i], Y_not_batched[i], decimal=4)
def util_batch_unbatch_Array(
def util_batch_unbatch_docs_array(
model: Model[List[Doc], Array2d], in_data: List[Doc], out_data: Array2d
):
with data_validation(True):
@ -96,7 +96,7 @@ def util_batch_unbatch_Array(
assert_almost_equal(Y_batched, Y_not_batched, decimal=4)
def util_batch_unbatch_Ragged(
def util_batch_unbatch_docs_ragged(
model: Model[List[Doc], Ragged], in_data: List[Doc], out_data: Ragged
):
with data_validation(True):