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# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os
import re
import shutil
import sys
import tempfile
import unittest
import black
git_repo_path = os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, "utils"))
import check_copies # noqa: E402
# This is the reference code that will be used in the tests.
# If DDPMSchedulerOutput is changed in scheduling_ddpm.py, this code needs to be manually updated.
REFERENCE_CODE = """ \"""
Output class for the scheduler's step function output.
Args:
prev_sample (`torch.FloatTensor` of shape `(batch_size, num_channels, height, width)` for images):
Computed sample (x_{t-1}) of previous timestep. `prev_sample` should be used as next model input in the
denoising loop.
pred_original_sample (`torch.FloatTensor` of shape `(batch_size, num_channels, height, width)` for images):
The predicted denoised sample (x_{0}) based on the model output from the current timestep.
`pred_original_sample` can be used to preview progress or for guidance.
\"""
prev_sample: torch.FloatTensor
pred_original_sample: Optional[torch.FloatTensor] = None
"""
class CopyCheckTester(unittest.TestCase):
def setUp(self):
self.diffusers_dir = tempfile.mkdtemp()
os.makedirs(os.path.join(self.diffusers_dir, "schedulers/"))
check_copies.DIFFUSERS_PATH = self.diffusers_dir
shutil.copy(
os.path.join(git_repo_path, "src/diffusers/schedulers/scheduling_ddpm.py"),
os.path.join(self.diffusers_dir, "schedulers/scheduling_ddpm.py"),
)
def tearDown(self):
check_copies.DIFFUSERS_PATH = "src/diffusers"
shutil.rmtree(self.diffusers_dir)
def check_copy_consistency(self, comment, class_name, class_code, overwrite_result=None):
code = comment + f"\nclass {class_name}(nn.Module):\n" + class_code
if overwrite_result is not None:
expected = comment + f"\nclass {class_name}(nn.Module):\n" + overwrite_result
mode = black.Mode(target_versions={black.TargetVersion.PY35}, line_length=119)
code = black.format_str(code, mode=mode)
fname = os.path.join(self.diffusers_dir, "new_code.py")
with open(fname, "w", newline="\n") as f:
f.write(code)
if overwrite_result is None:
self.assertTrue(len(check_copies.is_copy_consistent(fname)) == 0)
else:
check_copies.is_copy_consistent(f.name, overwrite=True)
with open(fname, "r") as f:
self.assertTrue(f.read(), expected)
def test_find_code_in_diffusers(self):
code = check_copies.find_code_in_diffusers("schedulers.scheduling_ddpm.DDPMSchedulerOutput")
self.assertEqual(code, REFERENCE_CODE)
def test_is_copy_consistent(self):
# Base copy consistency
self.check_copy_consistency(
"# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput",
"DDPMSchedulerOutput",
REFERENCE_CODE + "\n",
)
# With no empty line at the end
self.check_copy_consistency(
"# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput",
"DDPMSchedulerOutput",
REFERENCE_CODE,
)
# Copy consistency with rename
self.check_copy_consistency(
"# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput with DDPM->Test",
"TestSchedulerOutput",
re.sub("DDPM", "Test", REFERENCE_CODE),
)
# Copy consistency with a really long name
long_class_name = "TestClassWithAReallyLongNameBecauseSomePeopleLikeThatForSomeReason"
self.check_copy_consistency(
f"# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput with DDPM->{long_class_name}",
f"{long_class_name}SchedulerOutput",
re.sub("Bert", long_class_name, REFERENCE_CODE),
)
# Copy consistency with overwrite
self.check_copy_consistency(
"# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput with DDPM->Test",
"TestSchedulerOutput",
REFERENCE_CODE,
overwrite_result=re.sub("DDPM", "Test", REFERENCE_CODE),
)
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