PEPS | Innovative Open source Email File | Runtime Evironment library
kandi X-RAY | PEPS Summary
kandi X-RAY | PEPS Summary
PEPS was an innovative open source email and collaboration server. Main Features | ------------- | Clean UX/UI | Messages | File sharing | Newsfeed | Client-side encryption | New internal message protocol | Extensible | RESTful APIs | Powered by Node.js | Data in MongoDB | Open Source |. This open source portal enables you to download and install PEPS on your own server.
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Top functions reviewed by kandi - BETA
- Upload a box to API
- Decode raw data
- Execute a function and return the result
- Upload files to API
- Runs the given function with the given arguments
- Get the value of a variable configuration
- Login to IMAP server
- Tries to upload a given mail box
- Creates a new message
- Lists all users
- Gets the message history for this user
- Returns a list of all users of the authenticated user
- Retrieve team s history
- Gets the user s history
- Delete a file
- Move file
- Copy a file
- Update a tag
- Send a draft message
- Creates a new Tag
- Update a folder
- Modify a user
- Get the metadata for a file
PEPS Key Features
PEPS Examples and Code Snippets
Lines of Code : 225License : Non-SPDX (Apache License 2.0)
Copydef matmul(a,
b,
transpose_a=False,
transpose_b=False,
adjoint_a=False,
adjoint_b=False,
a_is_sparse=False,
b_is_sparse=False,
output_type=None,
name=N def _normalize_docstring(docstring):
"""Normalizes the docstring.
Replaces tabs with spaces, removes leading and trailing blanks lines, and
removes any indentation.
Copied from PEP-257:
https://www.python.org/dev/peps/pep-0257/#handling-d Community Discussions
Trending Discussions on PEPS
QUESTION
I recently became the maintainter of PyPDF2 - a library which is pretty old and still has some code that deals with Python versions before 2.4. While I want to drop support for 3.5 and older soon, I see some parts where I'm uncertain why they were written as they are.
One example is this:
What is in the code:
...ANSWER
Answered 2022-Apr-17 at 22:00The first version is just the pre-2.4 way to use staticmethod. The two versions aren't quite equivalent, but the difference is so tiny it almost never matters.
Specifically, on Python versions that support decorator syntax, the one difference is that the second version passes the original function directly to staticmethod, while the first version stores the original function to a and then looks up the a variable to find the argument to pass to staticmethod. This can technically matter in very weird use cases, particularly with metaclasses, but it'd be highly unlikely. Python 2 doesn't even support the relevant metaclass feature (__prepare__).
QUESTION
Coming from C/C++ background, I am aware of coding standards that apply for Safety Critical applications (like the classic trio Medical-Automotive-Aerospace) in the context of embedded systems , such as MISRA, SEI CERT, Barr etc.
Skipping the question if it should or if it is applicable as a language, I want to create Python applications for embedded systems that -even vaguely- follow some safety standard, but couldn't find any by searching, except from generic Python coding standards (like PEP8)
Is there a Python coding guideline that specificallly apply to safety-critical systems ?
...ANSWER
Answered 2022-Feb-02 at 08:46Top layer safety standards for "functional safety" like IEC 61508 (industrial), ISO 26262 (automotive) or DO-178 (aerospace) etc come with a software part (for example IEC 61508-3), where they list a number of suitable programming languages. These are exclusively old languages proven in use for a long time, where all flaws and poorly-defined behavior is regarded as well-known and execution can be regarded as predictable.
In practice, for the highest safety levels it means that you are pretty much restricted to C with safe subset (MISRA C) or Ada with safe subset (SPARK). A bunch of other old languages like Modula-2, Pascal and Fortran are also mentioned, but the tool support for these in the context of modern safety MCUs is non-existent. As is support for Python for such MCUs.
Languages like Python and C++ are not even mentioned for the lowest safety levels, so between the lines they are dismissed as entirely unsuitable. Even less so than pure assembler, which is actually mentioned as something that may used for the lower safety levels.
QUESTION
In Python, we all know Type hints, which became available from 2015:
...ANSWER
Answered 2022-Mar-14 at 15:01Since an annotation can be any expression (as far as the Python interpreter is concerned), you can technically do something like using a tuple as your annotation:
QUESTION
I am trying to get timestamps that are accurate down to the microsecond on Windows OS and macOS in Python 3.10+.
On Windows OS, I have noticed Python's built-in time.time() (paired with datetime.fromtimestamp()) and datetime.datetime.now() seem to have a slower clock. They don't have enough resolution to differentiate microsecond-level events. The good news is time functions like time.perf_counter() and time.time_ns() do seem to use a clock that is fast enough to measure microsecond-level events.
Sadly, I can't figure out how to get them into datetime objects. How can I get the output of time.perf_counter() or PEP 564's nanosecond resolution time functions into a datetime object?
Note: I don't need nanosecond-level stuff, so it's okay to throw away out precision below 1-μs).
Current Solution
This is my current (hacky) solution, which actually works fine, but I am wondering if there's a cleaner way:
...ANSWER
Answered 2022-Feb-26 at 12:56That's almost as good as it gets, since the C module, if available, overrides all classes defined in the pure Python implementation of the datetime module with the fast C implementation, and there are no hooks.
Reference: python/cpython@cf86e36
Note that:
- There's an intrinsic sub-microsecond error in the accuracy equal to the time it takes between obtaining the system time in
datetime.now()and obtaining the performance counter time. - There's a sub-microsecond performance cost to add a
datetimeand atimedelta.
Depending on your specific use case if calling multiple times, that may or may not matter.
A slight improvement would be:
QUESTION
I know that in general python only makes new scopes for classes, functions etc., but I'm confused by the as statement in a try/except block or context manager. Variables assigned inside the block are accessible outside it, which makes sense, but the variable bound with as itself is not.
So this fails:
...ANSWER
Answered 2022-Feb-24 at 20:58This is a documented exception to the normal rules that *specifically applies to try-except statements, from the language reference:
When an exception has been assigned using as target, it is cleared at the end of the except clause. This is as if:
QUESTION
PEP 647 introduced type guards to perform complex type narrowing operations using functions. If I have a class where properties can have various types, is there a way that I can perform a similar type narrowing operation on the property of an object given as the function argument?
...ANSWER
Answered 2022-Feb-24 at 12:42TypeGuard annotations can be used to annotate subclasses of a class. If parameter types are specified for those classes, then MyPy will recognise the type narrowing operation successfully.
QUESTION
We have a number of dataclasses representing various results with common ancestor Result. Each result then provides its data using its own subclass of ResultData. But we have trouble to annotate the case properly.
We came up with following solution:
...ANSWER
Answered 2022-Jan-31 at 15:10As hinted in the comments, the _data_cls attribute could be removed, assuming that it's being used for type hinting purposes. The correct way to annotate a Generic class defined like class MyClass[Generic[T]) is to use MyClass[MyType] in the type annotations.
For example, hopefully the below works in mypy. I only tested in Pycharm and it seems to infer the type well enough at least.
QUESTION
Instance attributes are typically annotated on the class:
...ANSWER
Answered 2022-Feb-03 at 17:05This is currently broken in mypy as it assumes you are creating a method, here is the relevant issue https://github.com/python/mypy/issues/708.
Typing the function in the init works fine as it won't think it's a method on the class, the following code passes type checking properly and func's type is inferred from the parameter. The attribute assignment can also be typed directly if the parameter is not viable.
QUESTION
I am trying to create a Python extension module with multi-phase initialization, following the advice I got from a previous question. PEP 489 suggests that it is preferable for the Py_mod_create function to return a module subclass, which presumably means a subclass of PyModule, but I cannot figure out how to do this. In all my attempts, the module segfaults when it is imported. It works fine if Py_mod_create returns some other object, (one which is not a subclass of PyModule), but I am not sure if this will cause problems in future, since isinstance(mymodule, types.ModuleType) returns false in this case.
Following the docs on subclassing built-in types, I set tp_base to PyModule_Type, and my tp_init function calls PyModule_Type.tp_init. The docs also suggest that my structure should contain the superclass structure at the beginning, which in this case is PyModuleObject. This structure is not in the public Python header files, (it is defined in moduleobject.c in the Python sources), so for now I copied and paste the definitions of the PyModuleObject fields at the start of my structure. The complete code looks like this:
ANSWER
Answered 2022-Jan-06 at 17:50After some tests I could build a custom module type by copying parts of code from moduleobject.c
Your problem is that your code does create an instance of a subclass of module, but never initializes it and gets random values in key members. Additionaly, modules are expected to be gc collectables, so you have to create your custom module with PyObject_GC_New.
The following code replaces your initial testmod_create function with a full initialization of the module:
QUESTION
Say I have two types (one of them generic) like this
...ANSWER
Answered 2022-Jan-05 at 05:31Rereading the mypy documentation I believe I have found my answer:
Type aliases can be generic. In this case they can be used in two ways: Subscripted aliases are equivalent to original types with substituted type variables, so the number of type arguments must match the number of free type variables in the generic type alias. Unsubscripted aliases are treated as original types with free variables replaced with Any
So, to answer my question:
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