mirror of
https://github.com/explosion/spaCy.git
synced 2025-11-04 01:48:04 +03:00
e2b70df012
* Use isort with Black profile * isort all the things * Fix import cycles as a result of import sorting * Add DOCBIN_ALL_ATTRS type definition * Add isort to requirements * Remove isort from build dependencies check * Typo
71 lines
2.3 KiB
Python
71 lines
2.3 KiB
Python
import pytest
|
|
from pydantic import StrictBool
|
|
from thinc.api import ConfigValidationError
|
|
|
|
from spacy.lang.en import English
|
|
from spacy.language import Language
|
|
from spacy.training import Example
|
|
|
|
|
|
def test_initialize_arguments():
|
|
name = "test_initialize_arguments"
|
|
|
|
class CustomTokenizer:
|
|
def __init__(self, tokenizer):
|
|
self.tokenizer = tokenizer
|
|
self.from_initialize = None
|
|
|
|
def __call__(self, text):
|
|
return self.tokenizer(text)
|
|
|
|
def initialize(self, get_examples, nlp, custom: int):
|
|
self.from_initialize = custom
|
|
|
|
class Component:
|
|
def __init__(self):
|
|
self.from_initialize = None
|
|
|
|
def initialize(
|
|
self, get_examples, nlp, custom1: str, custom2: StrictBool = False
|
|
):
|
|
self.from_initialize = (custom1, custom2)
|
|
|
|
Language.factory(name, func=lambda nlp, name: Component())
|
|
|
|
nlp = English()
|
|
nlp.tokenizer = CustomTokenizer(nlp.tokenizer)
|
|
example = Example.from_dict(nlp("x"), {})
|
|
get_examples = lambda: [example]
|
|
nlp.add_pipe(name)
|
|
# The settings here will typically come from the [initialize] block
|
|
init_cfg = {"tokenizer": {"custom": 1}, "components": {name: {}}}
|
|
nlp.config["initialize"].update(init_cfg)
|
|
with pytest.raises(ConfigValidationError) as e:
|
|
# Empty config for component, no required custom1 argument
|
|
nlp.initialize(get_examples)
|
|
errors = e.value.errors
|
|
assert len(errors) == 1
|
|
assert errors[0]["loc"] == ("custom1",)
|
|
assert errors[0]["type"] == "value_error.missing"
|
|
init_cfg = {
|
|
"tokenizer": {"custom": 1},
|
|
"components": {name: {"custom1": "x", "custom2": 1}},
|
|
}
|
|
nlp.config["initialize"].update(init_cfg)
|
|
with pytest.raises(ConfigValidationError) as e:
|
|
# Wrong type of custom 2
|
|
nlp.initialize(get_examples)
|
|
errors = e.value.errors
|
|
assert len(errors) == 1
|
|
assert errors[0]["loc"] == ("custom2",)
|
|
assert errors[0]["type"] == "value_error.strictbool"
|
|
init_cfg = {
|
|
"tokenizer": {"custom": 1},
|
|
"components": {name: {"custom1": "x"}},
|
|
}
|
|
nlp.config["initialize"].update(init_cfg)
|
|
nlp.initialize(get_examples)
|
|
assert nlp.tokenizer.from_initialize == 1
|
|
pipe = nlp.get_pipe(name)
|
|
assert pipe.from_initialize == ("x", False)
|