On iOS, you access the contents of the clipboard via the UIPasteboard API. As of iOS 9, however, calling this API from the background will fail, preventing random apps from snooping on your clipboard from the background. Obviously this was a big problem for Clip, so I had to somewhat think outside the box to come up with a solution.
As with most things Apple, it was hard to guess whether this change was intentional, or was simply a bug introduced simultaneously with the 13.3.1 dynamic frameworks bug. I was cautiously optimistic it was the second, and hoped to see it fixed soon. Regardless, there was little I could do on my end to work around it, so I had to accept this new restriction (even if it ended up being temporary) and adjusted my AltStore and Delta roadmaps to de-prioritize any features relying on app extensions (such as Siri Shortcuts support for AltStore ?).
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The CanvasRenderingContext2D.clip() method of the Canvas 2D API turns the current or given path into the current clipping region. The previous clipping region, if any, is intersected with the current or given path to create the new clipping region.
Note: Be aware that the clipping region is only constructed from shapes added to the path. It doesn't work with shape primitives drawn directly to the canvas, such as fillRect(). Instead, you'd have to use rect() to add a rectangular shape to the path before calling clip().
Note: Clip paths cannot be reverted directly. You must save your canvas state using save() before calling clip(), and restore it once you have finished drawing in the clipped area using restore().
This example saves two rectangles to a Path2D object, which is then made the current clipping region using the clip() method. The "evenodd" rule creates a hole where the clipping rectangles intersect; by default (with the "nonzero" rule), there would be no hole.
This example uses two paths, a rectangle and a square to create a complex clipping region. The clip() method is called twice, first to set the current clipping region to the circle using a Path2D object, then again to intersect the circle clipping region with a square. The final clipping region is a shape representing the intersection of the circle and the square.
\n The\n CanvasRenderingContext2D.clip()\n method of the Canvas 2D API turns the current or given path into the current clipping\n region. The previous clipping region, if any, is intersected with the current or given\n path to create the new clipping region.\n
\n Note: Be aware that the clipping region is only constructed from\n shapes added to the path. It doesn't work with shape primitives drawn directly to the\n canvas, such as fillRect().\n Instead, you'd have to use rect() to\n add a rectangular shape to the path before calling clip().\n
\n This example uses the clip() method to create a clipping region according\n to the shape of a circular arc. Two rectangles are then drawn; only those parts within\n the clipping region are rendered.\n
\n This example saves two rectangles to a Path2D object, which is then made the current\n clipping region using the clip() method. The \"evenodd\" rule\n creates a hole where the clipping rectangles intersect; by default (with the\n \"nonzero\" rule), there would be no hole.\n
\n This example uses two paths, a rectangle and a square to create a complex clipping\n region. The clip() method is called twice, first to set the current\n clipping region to the circle using a Path2D object, then again to\n intersect the circle clipping region with a square. The final clipping region is a shape\n representing the intersection of the circle and the square.\n
You can clip a small portion of a video or live stream and share it with others on social channels or via direct communications, like email or text. Clips are public and can be watched by anyone with access to the clip who can also watch the original video. You can find clips you made and clips made on your videos in the Your Clips library page. Video creators can manage clips made on their videos in YouTube Studio.
You can display top clips of your videos on your channel Home tab. These clips could be made by you or your viewers. Once added to your Home tab, clips are publicly visible and organized by popularity and how recently they were created.
Clips are public and can be watched and shared by anyone with access to the Clip who can also watch the original video. Creators who own the original video have access to all Clips made on that video in their Library page and in YouTube Studio, and can watch and share Clips of that video. Clips can also be seen on select search, discovery, and analytics surfaces available to viewers and creators on YouTube.
Redirects the command output from the command line to the Windows clipboard. You can use this command to copy data directly into any application that can receive text from the Clipboard. You can also paste this text output into other programs.
A transformers.models.clip.modeling_clip.CLIPOutput or a tuple oftorch.FloatTensor (if return_dict=False is passed or when config.return_dict=False) comprising variouselements depending on the configuration () and inputs.
A transformers.modeling_outputs.BaseModelOutputWithPooling or a tuple oftorch.FloatTensor (if return_dict=False is passed or when config.return_dict=False) comprising variouselements depending on the configuration () and inputs.
A transformers.models.clip.modeling_clip.CLIPTextModelOutput or a tuple oftorch.FloatTensor (if return_dict=False is passed or when config.return_dict=False) comprising variouselements depending on the configuration () and inputs.
A transformers.models.clip.modeling_clip.CLIPVisionModelOutput or a tuple oftorch.FloatTensor (if return_dict=False is passed or when config.return_dict=False) comprising variouselements depending on the configuration () and inputs.
A transformers.modeling_outputs.ImageClassifierOutput or a tuple oftorch.FloatTensor (if return_dict=False is passed or when config.return_dict=False) comprising variouselements depending on the configuration (CLIPConfig) and inputs.
A transformers.models.clip.modeling_tf_clip.TFCLIPOutput or a tuple of tf.Tensor (ifreturn_dict=False is passed or when config.return_dict=False) comprising various elements depending on theconfiguration () and inputs.
A transformers.modeling_tf_outputs.TFBaseModelOutputWithPooling or a tuple of tf.Tensor (ifreturn_dict=False is passed or when config.return_dict=False) comprising various elements depending on theconfiguration () and inputs.
If you wish to change the dtype of the model parameters, see to_fp16() andto_bf16(). This model inherits from FlaxPreTrainedModel. Check the superclass documentation for the generic methods thelibrary implements for all its model (such as downloading, saving and converting weights from PyTorch models)
A transformers.models.clip.modeling_flax_clip.FlaxCLIPOutput or a tuple oftorch.FloatTensor (if return_dict=False is passed or when config.return_dict=False) comprising variouselements depending on the configuration () and inputs.
A transformers.modeling_flax_outputs.FlaxBaseModelOutputWithPooling or a tuple oftorch.FloatTensor (if return_dict=False is passed or when config.return_dict=False) comprising variouselements depending on the configuration () and inputs.
A transformers.models.clip.modeling_flax_clip.FlaxCLIPTextModelOutput or a tuple oftorch.FloatTensor (if return_dict=False is passed or when config.return_dict=False) comprising variouselements depending on the configuration () and inputs.
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