本文整理汇总了Python中thumbor.transformer.Transformer.transform方法的典型用法代码示例。如果您正苦于以下问题:Python Transformer.transform方法的具体用法?Python Transformer.transform怎么用?Python Transformer.transform使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类thumbor.transformer.Transformer
的用法示例。
在下文中一共展示了Transformer.transform方法的15个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: _prepare_engine
# 需要导入模块: from thumbor.transformer import Transformer [as 别名]
# 或者: from thumbor.transformer.Transformer import transform [as 别名]
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)
示例2: test_can_fit_in
# 需要导入模块: from thumbor.transformer import Transformer [as 别名]
# 或者: from thumbor.transformer.Transformer import transform [as 别名]
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))
示例3: topic
# 需要导入模块: from thumbor.transformer import Transformer [as 别名]
# 或者: from thumbor.transformer.Transformer import transform [as 别名]
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)
示例4: test_can_resize_images_with_detection_error
# 需要导入模块: from thumbor.transformer import Transformer [as 别名]
# 或者: from thumbor.transformer.Transformer import transform [as 别名]
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))
示例5: assert_fit_in_resize
# 需要导入模块: from thumbor.transformer import Transformer [as 别名]
# 或者: from thumbor.transformer.Transformer import transform [as 别名]
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]
示例6: topic
# 需要导入模块: from thumbor.transformer import Transformer [as 别名]
# 或者: from thumbor.transformer.Transformer import transform [as 别名]
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']
示例7: topic
# 需要导入模块: from thumbor.transformer import Transformer [as 别名]
# 或者: from thumbor.transformer.Transformer import transform [as 别名]
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)
示例8: test_can_resize_images_with_detection_error_not_ignoring_it
# 需要导入模块: from thumbor.transformer import Transformer [as 别名]
# 或者: from thumbor.transformer.Transformer import transform [as 别名]
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)
示例9: test_invalid_crop
# 需要导入模块: from thumbor.transformer import Transformer [as 别名]
# 或者: from thumbor.transformer.Transformer import transform [as 别名]
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()
示例10: test_get_target_dimensions
# 需要导入模块: from thumbor.transformer import Transformer [as 别名]
# 或者: from thumbor.transformer.Transformer import transform [as 别名]
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))
示例11: test_can_resize_with_stretch
# 需要导入模块: from thumbor.transformer import Transformer [as 别名]
# 或者: from thumbor.transformer.Transformer import transform [as 别名]
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()
示例12: test_invalid_crop
# 需要导入模块: from thumbor.transformer import Transformer [as 别名]
# 或者: from thumbor.transformer.Transformer import transform [as 别名]
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()
示例13: test_can_transform_with_flip
# 需要导入模块: from thumbor.transformer import Transformer [as 别名]
# 或者: from thumbor.transformer.Transformer import transform [as 别名]
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)
示例14: test_can_fit_in
# 需要导入模块: from thumbor.transformer import Transformer [as 别名]
# 或者: from thumbor.transformer.Transformer import transform [as 别名]
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()
示例15: test_can_transform_meta_with_orientation
# 需要导入模块: from thumbor.transformer import Transformer [as 别名]
# 或者: from thumbor.transformer.Transformer import transform [as 别名]
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)