Vehicle Researcher 8eb8330d95 openpilot v0.9.9 release
date: 2025-03-08T09:09:29
master commit: ce355250be726f9bc8f0ac165a6cde41586a983d
2025-03-08 09:09:31 +00:00

142 lines
5.1 KiB
Python

import unittest, tarfile, io, os, pathlib, tempfile
import numpy as np
from tinygrad import Tensor
from tinygrad.nn.state import tar_extract
class TestTarExtractFile(unittest.TestCase):
def setUp(self):
self.test_dir = tempfile.mkdtemp()
self.test_files = {
'file1.txt': b'Hello, World!',
'file2.bin': b'\x00\x01\x02\x03\x04',
'empty_file.txt': b''
}
self.tar_path = os.path.join(self.test_dir, 'test.tar')
with tarfile.open(self.tar_path, 'w') as tar:
for filename, content in self.test_files.items():
file_path = os.path.join(self.test_dir, filename)
with open(file_path, 'wb') as f:
f.write(content)
tar.add(file_path, arcname=filename)
# Create invalid tar file
self.invalid_tar_path = os.path.join(self.test_dir, 'invalid.tar')
with open(self.invalid_tar_path, 'wb') as f:
f.write(b'This is not a valid tar file')
def tearDown(self):
for filename in self.test_files:
os.remove(os.path.join(self.test_dir, filename))
os.remove(self.tar_path)
os.remove(self.invalid_tar_path)
os.rmdir(self.test_dir)
def test_tar_extract_returns_dict(self):
result = tar_extract(self.tar_path)
self.assertIsInstance(result, dict)
def test_tar_extract_correct_keys(self):
result = tar_extract(self.tar_path)
self.assertEqual(set(result.keys()), set(self.test_files.keys()))
def test_tar_extract_content_size(self):
result = tar_extract(self.tar_path)
for filename, content in self.test_files.items():
self.assertEqual(len(result[filename]), len(content))
def test_tar_extract_content_values(self):
result = tar_extract(self.tar_path)
for filename, content in self.test_files.items():
np.testing.assert_array_equal(result[filename].numpy(), np.frombuffer(content, dtype=np.uint8))
def test_tar_extract_empty_file(self):
result = tar_extract(self.tar_path)
self.assertEqual(len(result['empty_file.txt']), 0)
def test_tar_extract_non_existent_file(self):
with self.assertRaises(FileNotFoundError):
tar_extract('non_existent_file.tar')
def test_tar_extract_invalid_file(self):
with self.assertRaises(tarfile.ReadError):
tar_extract(self.invalid_tar_path)
class TestTarExtractPAX(unittest.TestCase):
tar_format = tarfile.PAX_FORMAT
max_link_len = 1000_000
test_files = {
'a/file1.txt': b'Hello, World!',
'a/b/file2.bin': b'\x00\x01\x02\x03\x04',
'empty_file.txt': b'',
'512file': b'a' * 512,
'long_file': b'some data' * 100,
'very' * 15 + '/' + 'very' * 15 + '_long_filename.txt': b'Hello, World!!',
'very' * 200 + '_long_filename.txt': b'Hello, World!!!',
}
def create_tar_tensor(self):
fobj = io.BytesIO()
test_dirs = set(os.path.dirname(k) for k in self.test_files.keys()).difference({ '' })
with tarfile.open(fileobj=fobj, mode='w', format=self.tar_format) as tar:
for dirname in test_dirs:
dir_info = tarfile.TarInfo(name=dirname)
dir_info.type = tarfile.DIRTYPE
tar.addfile(dir_info)
for filename, content in self.test_files.items():
file_info = tarfile.TarInfo(name=filename)
file_info.size = len(content)
tar.addfile(file_info, io.BytesIO(content))
if len(filename) < self.max_link_len:
link_info = tarfile.TarInfo(name=filename + '.lnk')
link_info.type = tarfile.SYMTYPE
link_info.linkname = filename
tar.addfile(link_info)
return Tensor(fobj.getvalue())
def test_tar_extract_returns_dict(self):
result = tar_extract(self.create_tar_tensor())
self.assertIsInstance(result, dict)
def test_tar_extract_correct_keys(self):
result = tar_extract(self.create_tar_tensor())
self.assertEqual(set(result.keys()), set(self.test_files.keys()))
def test_tar_extract_content_size(self):
result = tar_extract(self.create_tar_tensor())
for filename, content in self.test_files.items():
self.assertEqual(len(result[filename]), len(content))
def test_tar_extract_content_values(self):
result = tar_extract(self.create_tar_tensor())
for filename, content in self.test_files.items():
np.testing.assert_array_equal(result[filename].numpy(), np.frombuffer(content, dtype=np.uint8))
def test_tar_extract_empty_file(self):
result = tar_extract(self.create_tar_tensor())
self.assertEqual(len(result['empty_file.txt']), 0)
def test_tar_extract_non_existent_file(self):
with self.assertRaises(FileNotFoundError):
tar_extract(Tensor(pathlib.Path('non_existent_file.tar')))
def test_tar_extract_invalid_file(self):
with self.assertRaises(tarfile.ReadError):
tar_extract(Tensor(b'This is not a valid tar file'))
def test_tar_extract_invalid_file_long(self):
with self.assertRaises(tarfile.ReadError):
tar_extract(Tensor(b'This is not a valid tar file'*100))
class TestTarExtractUSTAR(TestTarExtractPAX):
tar_format = tarfile.USTAR_FORMAT
max_link_len = 100
test_files = {k: v for k, v in TestTarExtractPAX.test_files.items() if len(k) < 256}
class TestTarExtractGNU(TestTarExtractPAX):
tar_format = tarfile.GNU_FORMAT
if __name__ == '__main__':
unittest.main()