Connect and share knowledge within a single location that is structured and easy to search. I'd like to download a folder of pickle files from Jupyterlab running on a google cloud instance and I'm unable to find a way to do so. Apparently, downloading individual files is permitted but I have about individuals pickle files in my folder to download and so would take while to do that manually. As you can see in the menu below when right click on the folder I want to download I manage to install a "download folder as archive" extension but for some reasons the resulting zip format is unreadable locally.
I'm sure there must be a way of downloading folder easily from Jupyterlab and any help would be highly appreciated. Thank you.
It might be necessary to move the archive into your virtual home folder in order to see it in the file browser on the left side though. Stack Overflow for Teams — Collaborate and share knowledge with a private group.
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Please try enabling it if you encounter problems. Search PyPI Search. Latest version Released: Nov 20, Navigation Project description Release history Download files. Project links Homepage. Optionally, an iterator and not a sequence yielding successive items. These items will be appended to the object either using obj. This is primarily used for list subclasses, but may be used by other classes as long as they have append and extend methods with the appropriate signature.
Whether append or extend is used depends on which pickle protocol version is used as well as the number of items to append, so both must be supported. Optionally, an iterator not a sequence yielding successive key-value pairs. Optionally, a callable with a obj, state signature. New in version 3. The only difference is this method should take a single integer argument, the protocol version. The main use for this method is to provide backwards-compatible reduce values for older Python releases.
For the benefit of object persistence, the pickle module supports the notion of a reference to an object outside the pickled data stream. Such objects are referenced by a persistent ID, which should be either a string of alphanumeric characters for protocol 0 5 or just an arbitrary object for any newer protocol. When None is returned, the pickler simply pickles the object as normal. When a persistent ID string is returned, the pickler will pickle that object, along with a marker so that the unpickler will recognize it as a persistent ID.
Here is a comprehensive example presenting how persistent ID can be used to pickle external objects by reference. If one wants to customize pickling of some classes without disturbing any other code which depends on pickling, then one can create a pickler with a private dispatch table. The global dispatch table managed by the copyreg module is available as copyreg. Therefore, one may choose to use a modified copy of copyreg.
Pickler with a private dispatch table which handles the SomeClass class specially. Alternatively, the code. The equivalent code using the copyreg module is. The TextReader class opens a text file, and returns the line number and line contents each time its readline method is called. If a TextReader instance is pickled, all attributes except the file object member are saved. When the instance is unpickled, the file is reopened, and reading resumes from the last location.
It can alternatively return NotImplemented to fallback to the traditional behavior. In some contexts, the pickle module is used to transfer massive amounts of data. Therefore, it can be important to minimize the number of memory copies, to preserve performance and resource consumption.
However, normal operation of the pickle module, as it transforms a graph-like structure of objects into a sequential stream of bytes, intrinsically involves copying data to and from the pickle stream. This constraint can be eschewed if both the provider the implementation of the object types to be transferred and the consumer the implementation of the communications system support the out-of-band transfer facilities provided by pickle protocol 5 and higher.
A PickleBuffer object signals that the underlying buffer is eligible for out-of-band data transfer. Those objects remain compatible with normal usage of the pickle module. However, consumers can also opt-in to tell pickle that they will handle those buffers by themselves. A communications system can enable custom handling of the PickleBuffer objects generated when serializing an object graph.
Those buffers will provide the data expected by the reconstructors of the objects whose pickling produced the original PickleBuffer objects. Between the sending side and the receiving side, the communications system is free to implement its own transfer mechanism for out-of-band buffers. Potential optimizations include the use of shared memory or datatype-dependent compression. Here is a trivial example where we implement a bytearray subclass able to participate in out-of-band buffer pickling:.
This is an easy way to simulate zero-copy behaviour on this toy example. On the consumer side, we can pickle those objects the usual way, which when unserialized will give us a copy of the original object:.
However, third-party datatypes such as NumPy arrays do not have this limitation, and allow use of zero-copy pickling or making as few copies as possible when transferring between distinct processes or systems. PEP — Pickle protocol 5 with out-of-band data. By default, unpickling will import any class or function that it finds in the pickle data. For many applications, this behaviour is unacceptable as it permits the unpickler to import and invoke arbitrary code. Just consider what this hand-crafted pickle data stream does when loaded:.
In this example, the unpickler imports the os. Although this example is inoffensive, it is not difficult to imagine one that could damage your system. For this reason, you may want to control what gets unpickled by customizing Unpickler. Unlike its name suggests, Unpickler.
Thus it is possible to either completely forbid globals or restrict them to a safe subset. Here is an example of an unpickler allowing only few safe classes from the builtins module to be loaded:. As our examples shows, you have to be careful with what you allow to be unpickled. Therefore if security is a concern, you may want to consider alternatives such as the marshalling API in xmlrpc. Recent versions of the pickle protocol from protocol 2 and upwards feature efficient binary encodings for several common features and built-in types.
Also, the pickle module has a transparent optimizer written in C. For the simplest code, use the dump and load functions. Indexed databases of objects; uses pickle. The exception raised will likely be an ImportError or an AttributeError but it could be something else.
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