def test_write_scope_nested():
target_path = "./tests/fixtures/write_scope4.txt"
if os.path.exists(target_path):
os.remove(target_path)
with io_scope("./tests"):
with io_scope("fixtures"):
write("test", "write_scope4.txt", mode="w")
assert os.path.isfile(target_path)
def test_batch_load():
image_names = [os.path.basename(image) for image in test_images]
with io_scope('./tests/fixtures'):
images = load(image_names)
assert len(images) == len(test_images)
for i in range(len(test_images)):
assert np.allclose(load(test_images[i]), images[i])
def test_write_scope_compatibility():
path = "./tests/fixtures/write_scope_compatibility.txt"
_remove(path)
with io_scope("./tests/fixtures"):
save("test", "write_scope_compatibility.txt")
assert os.path.isfile(path)
def test_write_scope_compatibility():
path = "./tests/fixtures/generated_outputs/write_scope_compatibility.txt"
_remove(path)
with io_scope("./tests/fixtures/generated_outputs"):
save("test content", 'write_scope_compatibility.txt')
assert os.path.isfile(path)
def test_capturing_saves():
path = "./tests/fixtures/generated_outputs/test_capturing_saves.txt"
_remove(path)
context = CaptureSaveContext()
with context, io_scope("./tests/fixtures/generated_outputs"):
save("test", "test_capturing_saves.txt")
captured = context.captured_saves
assert len(captured) == 1
assert "type" in captured[0]
assert captured[0]["type"] == "txt"
def test_batch_saves():
save_ops = [(str(i), f"write_batch_{i}.txt") for i in range(5)]
[
_remove(f"./tests/fixtures/generated_outputs/write_batch_{i}.txt")
for i in range(5)
]
context = CaptureSaveContext()
with context, io_scope("./tests/fixtures/generated_outputs"):
results = batch_save(save_ops)
assert len(results) == 5
assert len(context.captured_saves) == 5
assert context.captured_saves[0]['type'] == 'txt'
print(context.captured_saves)
assert 'write_batch_' in context.captured_saves[0]['url']
assert all([
os.path.isfile(
f"./tests/fixtures/generated_outputs/write_batch_{i}.txt")
for i in range(5)
])
def _return_io_scope(io_scope_path):
with io_scope(io_scope_path):
time.sleep(np.random.uniform(0.05, 0.1))
return current_io_scopes()[-1]