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Modify param names and some comments.
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@@ -5,12 +5,12 @@ from PIL import Image
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@contextmanager
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@contextmanager
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def open_django_file(fieldfile):
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def open_django_file(field_file):
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fieldfile.open()
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field_file.open()
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try:
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try:
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yield fieldfile
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yield field_file
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finally:
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finally:
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fieldfile.close()
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field_file.close()
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def scale_and_crop_iter(image, options):
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def scale_and_crop_iter(image, options):
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@@ -19,9 +19,9 @@ def scale_and_crop_iter(image, options):
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Resize, crop and/or change quality of image.
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Resize, crop and/or change quality of image.
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:param image: Source image file
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:param image: Source image file
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:param type: :class:`django.core.files.images.ImageFile
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:type image : :class:`django.core.files.images.ImageFile
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:param`options: List of option dictionaries, See scale_and_crop_single
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:param options: List of option dictionaries, See scale_and_crop_single
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argument names for available keys.
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argument names for available keys.
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:type options: list of dict
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:type options: list of dict
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"""
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"""
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@@ -39,7 +39,7 @@ def scale_and_crop_single(image, size, crop=False, upscale=False, quality=None):
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Resize, crop and/or change quality of an image.
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Resize, crop and/or change quality of an image.
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:param image: Source image file
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:param image: Source image file
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:param type: :class:`PIL.Image`
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:type image: :class:`PIL.Image`
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:param size: Size as width & height, zero as either means unrestricted
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:param size: Size as width & height, zero as either means unrestricted
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:type size: tuple of two int
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:type size: tuple of two int
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@@ -84,10 +84,10 @@ def scale_and_crop_single(image, size, crop=False, upscale=False, quality=None):
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diff_y = int(source_y - min(source_y, target_y))
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diff_y = int(source_y - min(source_y, target_y))
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if diff_x or diff_y:
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if diff_x or diff_y:
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# Center cropping (default).
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# Center cropping (default).
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halfdiff_x, halfdiff_y = diff_x // 2, diff_y // 2
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half_diff_x, half_diff_y = diff_x // 2, diff_y // 2
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box = [halfdiff_x, halfdiff_y,
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box = [half_diff_x, half_diff_y,
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min(source_x, int(target_x) + halfdiff_x),
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min(source_x, int(target_x) + half_diff_x),
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min(source_y, int(target_y) + halfdiff_y)]
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min(source_y, int(target_y) + half_diff_y)]
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# Finally, crop the image!
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# Finally, crop the image!
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im = im.crop(box)
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im = im.crop(box)
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