def _prepare_engine(self, topic, callback):
context = topic[0].to_context()
self.engine = context.modules.engine
self.test_data = topic
trans = Transformer(context)
trans.transform(callback)
def test_can_extract_cover(self):
data = TestData(source_width=800,
source_height=600,
target_width=-800,
target_height=-600,
halign="right",
valign="top",
focal_points=[],
crop_left=None,
crop_top=None,
crop_right=None,
crop_bottom=None)
ctx = data.to_context()
ctx.request.filters = 'cover()'
ctx.request.image = 'some.gif'
ctx.request.extension = 'GIF'
ctx.request.engine.extension = '.gif'
ctx.config.USE_GIFSICLE_ENGINE = True
engine = ctx.modules.engine
trans = Transformer(ctx)
trans.transform(self.handle_extract_cover(engine))
expect(self.has_handled).to_be_true()
def _prepare_engine(self, topic, callback):
context = topic[0].to_context()
self.engine = context.modules.engine
self.test_data = topic
trans = Transformer(context)
trans.transform(callback)
def test_can_fit_in(self):
for item in FIT_IN_CROP_DATA:
context = item[0].to_context()
engine = context.modules.engine
trans = Transformer(context)
trans.transform(self.validate_fit_in(item, context, engine, trans))
def test_can_fit_in(self):
for item in FIT_IN_CROP_DATA:
context = item[0].to_context()
engine = context.modules.engine
trans = Transformer(context)
trans.transform(self.validate_fit_in(item, context, engine, trans))
def topic(self, callback):
self.test_data = TestData(
source_width=800, source_height=600,
target_width=400, target_height=150,
halign="center", valign="middle",
focal_points=[],
crop_left=0, crop_top=75, crop_right=800, crop_bottom=375
)
context = self.test_data.to_context(detectors=[MockErrorSyncDetector], ignore_detector_error=False)
trans = Transformer(context)
trans.transform(callback)
def test_can_resize_images_with_detection_error(self):
test_data = TestData(
source_width=800, source_height=600,
target_width=400, target_height=150,
halign="center", valign="middle",
focal_points=[],
crop_left=0, crop_top=75, crop_right=800, crop_bottom=375
)
context = test_data.to_context(detectors=[MockErrorSyncDetector], ignore_detector_error=True)
trans = Transformer(context)
trans.transform(self.validate_resize(test_data))
def assert_fit_in_resize(data):
data, expectations = data
trans = Transformer(data.to_context())
trans.transform()
assert not data.engine.calls['crop']
assert data.engine.calls['resize']
assert len(data.engine.calls['resize']) == 1
assert data.engine.calls['resize'][0]['width'] == expectations[0]
assert data.engine.calls['resize'][0]['height'] == expectations[1]
def assert_fit_in_resize(data):
data, expectations = data
trans = Transformer(data.to_context())
trans.transform()
assert not data.engine.calls['crop']
assert data.engine.calls['resize']
assert len(data.engine.calls['resize']) == 1
assert data.engine.calls['resize'][0]['width'] == expectations[0]
assert data.engine.calls['resize'][0]['height'] == expectations[1]
def topic(self):
data = TestData(
source_width=800, source_height=600,
target_width=-800, target_height=-600,
halign="right", valign="top",
focal_points=[],
crop_left=None, crop_top=None, crop_right=None, crop_bottom=None
)
ctx = data.to_context()
trans = Transformer(ctx)
trans.transform()
return ctx['engine']
def test_can_resize_images_with_detection_error_not_ignoring_it(self):
test_data = TestData(
source_width=800, source_height=600,
target_width=400, target_height=150,
halign="center", valign="middle",
focal_points=[],
crop_left=0, crop_top=75, crop_right=800, crop_bottom=375
)
context = test_data.to_context(detectors=[MockErrorSyncDetector], ignore_detector_error=False)
trans = Transformer(context)
with expect.error_to_happen(Exception, message='x'):
trans.transform(None)
expect(test_data.engine.calls['resize']).to_length(0)
def topic(self, callback):
data = TestData(
source_width=800, source_height=600,
target_width=-800, target_height=-600,
halign="right", valign="top",
focal_points=[],
crop_left=None, crop_top=None, crop_right=None, crop_bottom=None
)
ctx = data.to_context()
self.engine = ctx.modules.engine
trans = Transformer(ctx)
trans.transform(callback)
def topic(self, callback):
data = TestData(
source_width=800, source_height=600,
target_width=-800, target_height=-600,
halign="right", valign="top",
focal_points=[],
crop_left=None, crop_top=None, crop_right=None, crop_bottom=None
)
ctx = data.to_context()
self.engine = ctx.modules.engine
trans = Transformer(ctx)
trans.transform(callback)
def test_can_resize_images_with_detection_error_not_ignoring_it(self):
test_data = TestData(
source_width=800, source_height=600,
target_width=400, target_height=150,
halign="center", valign="middle",
focal_points=[],
crop_left=0, crop_top=75, crop_right=800, crop_bottom=375
)
context = test_data.to_context(detectors=[MockErrorSyncDetector], ignore_detector_error=False)
trans = Transformer(context)
trans.transform(lambda: None)
expect(test_data.engine.calls['resize']).to_length(0)
def test_invalid_crop(self):
data = TestData(
source_width=800, source_height=600,
target_width=800, target_height=600,
halign="right", valign="top",
focal_points=[],
crop_left=200, crop_top=0, crop_right=100, crop_bottom=100
)
ctx = data.to_context()
engine = ctx.modules.engine
trans = Transformer(ctx)
trans.transform(self.handle_invalid_crop(engine))
expect(self.has_handled).to_be_true()
def test_get_target_dimensions(self):
data = TestData(
source_width=800, source_height=600,
target_width=600, target_height=400,
halign="right", valign="top",
focal_points=[],
crop_left=200, crop_top=0, crop_right=100, crop_bottom=100
)
ctx = data.to_context()
trans = Transformer(ctx)
dimensions = trans.get_target_dimensions()
expect(dimensions).to_equal((600, 400))
trans.transform(lambda: 1)
expect(dimensions).to_equal((600, 400))
def test_can_resize_with_stretch():
data = TestData(
source_width=800, source_height=600,
target_width=800, target_height=200,
halign="right", valign="top",
focal_points=[],
crop_left=None, crop_top=None, crop_right=None, crop_bottom=None,
stretch=True
)
ctx = data.to_context()
engine = ctx.modules.engine
trans = Transformer(ctx)
trans.transform(lambda: None)
expect(engine.calls['resize']).to_equal([{'width': 800, 'height': 200}])
expect(engine.calls['crop']).to_be_empty()
def test_get_target_dimensions(self):
data = TestData(
source_width=800, source_height=600,
target_width=600, target_height=400,
halign="right", valign="top",
focal_points=[],
crop_left=200, crop_top=0, crop_right=100, crop_bottom=100
)
ctx = data.to_context()
trans = Transformer(ctx)
dimensions = trans.get_target_dimensions()
expect(dimensions).to_equal((600, 400))
trans.transform(lambda: 1)
expect(dimensions).to_equal((600, 400))
def test_invalid_crop(self):
data = TestData(
source_width=800, source_height=600,
target_width=800, target_height=600,
halign="right", valign="top",
focal_points=[],
crop_left=200, crop_top=0, crop_right=100, crop_bottom=100
)
ctx = data.to_context()
engine = ctx.modules.engine
trans = Transformer(ctx)
trans.transform(lambda: None)
expect(engine.calls['crop']).to_be_empty()
def test_can_fit_in(self):
for (test_data, (width, height, should_resize)) in FIT_IN_CROP_DATA:
context = test_data.to_context()
engine = context.modules.engine
trans = Transformer(context)
trans.transform(lambda: None)
expect(engine.calls['crop']).to_be_empty()
if should_resize:
expect(engine.calls['resize']).to_length(1)
expect(engine.calls['resize'][0]['width']).to_equal(width)
expect(engine.calls['resize'][0]['height']).to_equal(height)
else:
expect(engine.calls['resize']).to_be_empty()
def test_can_transform_with_flip(self):
data = TestData(
source_width=800, source_height=600,
target_width=-800, target_height=-600,
halign="right", valign="top",
focal_points=[],
crop_left=None, crop_top=None, crop_right=None, crop_bottom=None
)
ctx = data.to_context()
engine = ctx.modules.engine
trans = Transformer(ctx)
trans.transform(lambda: None)
expect(engine.calls['horizontal_flip']).to_equal(1)
expect(engine.calls['vertical_flip']).to_equal(1)
def test_can_fit_in(self):
for (test_data, (width, height, should_resize)) in FIT_IN_CROP_DATA:
context = test_data.to_context()
engine = context.modules.engine
trans = Transformer(context)
trans.transform(lambda: None)
expect(engine.calls['crop']).to_be_empty()
if should_resize:
expect(engine.calls['resize']).to_length(1)
expect(engine.calls['resize'][0]['width']).to_equal(width)
expect(engine.calls['resize'][0]['height']).to_equal(height)
else:
expect(engine.calls['resize']).to_be_empty()
def test_can_transform_meta_with_orientation(self):
data = TestData(
source_width=800, source_height=600,
target_width=100, target_height=100,
halign="right", valign="top",
focal_points=[],
crop_left=None, crop_top=None, crop_right=None, crop_bottom=None,
meta=True
)
ctx = data.to_context()
ctx.config.RESPECT_ORIENTATION = True
engine = ctx.modules.engine
trans = Transformer(ctx)
trans.transform(self.handle_transform_with_meta(engine))
expect(self.has_handled).to_be_true()
def test_can_transform_meta_with_orientation(self):
data = TestData(
source_width=800, source_height=600,
target_width=100, target_height=100,
halign="right", valign="top",
focal_points=[],
crop_left=None, crop_top=None, crop_right=None, crop_bottom=None,
meta=True
)
ctx = data.to_context()
ctx.config.RESPECT_ORIENTATION = True
engine = ctx.modules.engine
trans = Transformer(ctx)
trans.transform(lambda: None)
expect(engine.calls['reorientate']).to_equal(1)
def test_invalid_crop(self):
data = TestData(source_width=800,
source_height=600,
target_width=800,
target_height=600,
halign="right",
valign="top",
focal_points=[],
crop_left=200,
crop_top=0,
crop_right=100,
crop_bottom=100)
ctx = data.to_context()
engine = ctx.modules.engine
trans = Transformer(ctx)
trans.transform(lambda: None)
expect(engine.calls['crop']).to_be_empty()
def topic(self, callback):
data = TestData(
source_width=800, source_height=600,
target_width=-800, target_height=-600,
halign="right", valign="top",
focal_points=[],
crop_left=None, crop_top=None, crop_right=None, crop_bottom=None
)
ctx = data.to_context()
ctx.request.filters = 'cover()'
ctx.request.image = 'some.gif'
ctx.request.extension= 'GIF'
ctx.request.engine.extension = '.gif'
ctx.config.USE_GIFSICLE_ENGINE = True
self.engine = ctx.modules.engine
trans = Transformer(ctx)
trans.transform(callback)
def test_can_transform_with_flip(self):
data = TestData(source_width=800,
source_height=600,
target_width=-800,
target_height=-600,
halign="right",
valign="top",
focal_points=[],
crop_left=None,
crop_top=None,
crop_right=None,
crop_bottom=None)
ctx = data.to_context()
engine = ctx.modules.engine
trans = Transformer(ctx)
trans.transform(lambda: None)
expect(engine.calls['horizontal_flip']).to_equal(1)
expect(engine.calls['vertical_flip']).to_equal(1)
def test_can_extract_cover(self):
data = TestData(
source_width=800, source_height=600,
target_width=-800, target_height=-600,
halign="right", valign="top",
focal_points=[],
crop_left=None, crop_top=None, crop_right=None, crop_bottom=None
)
ctx = data.to_context()
ctx.request.filters = 'cover()'
ctx.request.image = 'some.gif'
ctx.request.extension = 'GIF'
ctx.request.engine.extension = '.gif'
ctx.config.USE_GIFSICLE_ENGINE = True
engine = ctx.modules.engine
trans = Transformer(ctx)
trans.transform(lambda: None)
expect(engine.calls['cover']).to_equal(1)
def test_can_resize_with_stretch():
data = TestData(source_width=800,
source_height=600,
target_width=800,
target_height=200,
halign="right",
valign="top",
focal_points=[],
crop_left=None,
crop_top=None,
crop_right=None,
crop_bottom=None,
stretch=True)
ctx = data.to_context()
engine = ctx.modules.engine
trans = Transformer(ctx)
trans.transform(lambda: None)
expect(engine.calls['resize']).to_equal([{
'width': 800,
'height': 200
}])
expect(engine.calls['crop']).to_be_empty()
def test_can_resize_images(self):
for item in TESTITEMS:
context = item.to_context()
trans = Transformer(context)
trans.transform(self.validate_resize(item))
def should_crop_properly(self, topic):
context = topic.to_context()
trans = Transformer(context)
trans.transform()
expect(topic).to_be_cropped()
def assert_proper_operations(data):
trans = Transformer(data.to_context())
trans.transform()
assert data.has_cropped_properly(), data.crop_error_message
assert data.has_resized_properly(), data.resize_error_message
def test_can_resize_images(self):
for item in TESTITEMS:
context = item.to_context()
trans = Transformer(context)
trans.transform(lambda: None)
self.validate_resize(item)
def assert_proper_operations(data):
trans = Transformer(data.to_context())
trans.transform()
assert data.has_cropped_properly(), data.crop_error_message
assert data.has_resized_properly(), data.resize_error_message
def topic(self, callback, topic):
self.test_data = topic
context = topic.to_context(detectors=[MockSyncDetector])
trans = Transformer(context)
trans.transform(callback)
def _get_engine(self, topic):
context = topic[0].to_context()
trans = Transformer(context)
trans.transform()
return context['engine']
def test_can_resize_images_with_detectors(self):
for item in TESTITEMS:
context = item.to_context(detectors=[MockSyncDetector])
trans = Transformer(context)
trans.transform(lambda: None)
self.validate_resize(item)
def topic(self, callback, topic):
self.test_data = topic
context = topic.to_context()
trans = Transformer(context)
trans.transform(callback)
def topic(self, callback, topic):
self.test_data = topic
context = topic.to_context()
trans = Transformer(context)
trans.transform(callback)
def test_can_resize_images_with_detectors(self):
for item in TESTITEMS:
context = item.to_context(detectors=[MockSyncDetector])
trans = Transformer(context)
trans.transform(self.validate_resize(item))