f | Functional stuff for Python | Functional Programming library

 by   igrishaev Python Version: 0.0.1 License: MIT

kandi X-RAY | f Summary

kandi X-RAY | f Summary

f is a Python library typically used in Programming Style, Functional Programming applications. f has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install f' or download it from GitHub, PyPI.

A bunch of useful functions to work with data structures.
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            kandi-support Support

              f has a low active ecosystem.
              It has 116 star(s) with 11 fork(s). There are 7 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 1 open issues and 0 have been closed. On average issues are closed in 1521 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of f is 0.0.1

            kandi-Quality Quality

              f has 0 bugs and 0 code smells.

            kandi-Security Security

              f has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              f code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              f is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              f releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              f saves you 458 person hours of effort in developing the same functionality from scratch.
              It has 1081 lines of code, 185 functions and 12 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed f and discovered the below as its top functions. This is intended to give you an instant insight into f implemented functionality, and help decide if they suit your requirements.
            • Return a new instance with distinct values
            • Apply a function to each item in the collection
            • Compose a function that takes a list of preds
            • Join the sequence
            • Decorator to apply a function to a function
            • Creates a function that returns a unitary operator
            • Try to coerce a function
            • Return a maybe unit
            • Decorator for pcall methods
            • Wrapper for pcall
            Get all kandi verified functions for this library.

            f Key Features

            No Key Features are available at this moment for f.

            f Examples and Code Snippets

            Decorator to convert f to a function .
            pythondot img1Lines of Code : 52dot img1License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def convert(recursive=False,
                        optional_features=None,
                        user_requested=True,
                        conversion_ctx=ag_ctx.NullCtx()):
              """Decorator that compiles a function to use TensorFlow ops.
            
              The decorator is dynamic - it recompiles  
            Compute the gradient of a function f .
            pythondot img2Lines of Code : 49dot img2License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def compute_gradient(f, x, delta=None):
              """Computes the theoretical and numeric Jacobian of `f`.
            
              With y = f(x), computes the theoretical and numeric Jacobian dy/dx.
            
              Args:
                f: the function.
                x: the arguments for the function as a list or  
            Check if f is a known type .
            pythondot img3Lines of Code : 25dot img3License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def _is_known_loaded_type(f, module_name, entity_name):
              """Tests whether the function or method is an instance of a known type."""
              if (module_name not in sys.modules or
                  not hasattr(sys.modules[module_name], entity_name)):
                return False
               

            Community Discussions

            QUESTION

            Why is `np.sum(range(N))` very slow?
            Asked 2022-Mar-29 at 14:31

            I saw a video about speed of loops in python, where it was explained that doing sum(range(N)) is much faster than manually looping through range and adding the variables together, since the former runs in C due to built-in functions being used, while in the latter the summation is done in (slow) python. I was curious what happens when adding numpy to the mix. As I expected np.sum(np.arange(N)) is the fastest, but sum(np.arange(N)) and np.sum(range(N)) are even slower than doing the naive for loop.

            Why is this?

            Here's the script I used to test, some comments about the supposed cause of slowing done where I know (taken mostly from the video) and the results I got on my machine (python 3.10.0, numpy 1.21.2):

            updated script:

            ...

            ANSWER

            Answered 2021-Oct-16 at 17:42

            From the cpython source code for sum sum initially seems to attempt a fast path that assumes all inputs are the same type. If that fails it will just iterate:

            Source https://stackoverflow.com/questions/69584027

            QUESTION

            Error while downloading the requirements using pip install (setup command: use_2to3 is invalid.)
            Asked 2022-Mar-05 at 07:13

            version pip 21.2.4 python 3.6

            The command:

            ...

            ANSWER

            Answered 2021-Nov-19 at 13:30

            It looks like setuptools>=58 breaks support for use_2to3:

            setuptools changelog for v58

            So you should update setuptools to setuptools<58 or avoid using packages with use_2to3 in the setup parameters.

            I was having the same problem, pip==19.3.1

            Source https://stackoverflow.com/questions/69100275

            QUESTION

            AttributeError: Can't get attribute 'new_block' on
            Asked 2022-Feb-25 at 13:18

            I was using pyspark on AWS EMR (4 r5.xlarge as 4 workers, each has one executor and 4 cores), and I got AttributeError: Can't get attribute 'new_block' on . Below is a snippet of the code that threw this error:

            ...

            ANSWER

            Answered 2021-Aug-26 at 14:53

            I had the same error using pandas 1.3.2 in the server while 1.2 in my client. Downgrading pandas to 1.2 solved the problem.

            Source https://stackoverflow.com/questions/68625748

            QUESTION

            android:exported needs to be explicitly specified for . Apps targeting Android 12 and higher are required to specify
            Asked 2022-Feb-23 at 14:13

            After upgrading to android 12, the application is not compiling. It shows

            "Manifest merger failed with multiple errors, see logs"

            Error showing in Merged manifest:

            Merging Errors: Error: android:exported needs to be explicitly specified for . Apps targeting Android 12 and higher are required to specify an explicit value for android:exported when the corresponding component has an intent filter defined. See https://developer.android.com/guide/topics/manifest/activity-element#exported for details. main manifest (this file)

            I have set all the activity with android:exported="false". But it is still showing this issue.

            My manifest file:

            ...

            ANSWER

            Answered 2021-Aug-04 at 09:18

            I'm not sure what you're using to code, but in order to set it in Android Studio, open the manifest of your project and under the "activity" section, put android:exported="true"(or false if that is what you prefer). I have attached an example.

            Source https://stackoverflow.com/questions/68554294

            QUESTION

            pip-compile raising AssertionError on its logging handler
            Asked 2022-Feb-13 at 12:37

            I have a dockerfile that currently only installs pip-tools

            ...

            ANSWER

            Answered 2022-Feb-05 at 16:30

            It is a bug, you can downgrade using:

            pip install "pip<22"

            https://github.com/jazzband/pip-tools/issues/1558

            Source https://stackoverflow.com/questions/70946286

            QUESTION

            Why do I get an ambiguity error in this code?
            Asked 2022-Jan-29 at 12:43

            Let's say we have these 3 classes:

            ...

            ANSWER

            Answered 2022-Jan-13 at 21:04

            It is ambiguous because of two reasons:

            • both overloads are applicable, and;
            • neither overload is more specific than the other

            Notice that both the f(int, A) overload and the f(float, B) overload can be called with the parameters (i, b), since there is an implicit conversion from int to float, and an implicit conversion from B to A.

            What happens when there are more than one applicable method? Java is supposed to choose the most specific method. This is described in §15.12.2.5 of the language spec. It turns out that it is not the case that one of these overloads are more specific than the other.

            One applicable method m1 is more specific than another applicable method m2, for an invocation with argument expressions e1, ..., ek, if any of the following are true:

            • m2 is generic [...]

            • m2 is not generic, and m1 and m2 are applicable by strict or loose invocation, and where m1 has formal parameter types S1, ..., Sn and m2 has formal parameter types T1, ..., Tn, the type Si is more specific than Ti for argument ei for all i (1 ≤ i ≤ n, n = k).

            • m2 is not generic, and m1 and m2 are applicable by variable arity invocation [...]

            Only the second point applies to the two overloads of f. For one of the overloads to be more specific than the other, every parameter type of one overload has to be more specific than the corresponding parameter type in the other overload.

            A type S is more specific than a type T for any expression if S <: T (§4.10).

            Note that"<:" is the subtyping relationship. B is clearly a subtype of A. float is actually a supertype (not subtype!) of int. This can be derived from the direct subtyping relations listed in §4.10.1. Therefore, neither of the overloads is more specific than the other.

            The language spec goes on to talk about maximally specific methods, which doesn't really apply to f here. Finally, it says:

            Otherwise, the method invocation is ambiguous, and a compile-time error occurs.

            More Examples

            Source https://stackoverflow.com/questions/70702544

            QUESTION

            Why doesn't GHC recognize the function as linear?
            Asked 2022-Jan-29 at 01:41

            I have a very simple snippet:

            ...

            ANSWER

            Answered 2022-Jan-28 at 18:58

            Use pure from Control.Functor.Linear instead, as well as the IO from System.IO.Linear, because contents of Prelude are simply not declared as linear.

            Note that this even simpler example does not compile too:

            Source https://stackoverflow.com/questions/70892911

            QUESTION

            ellipsis ... as function in substitute?
            Asked 2022-Jan-13 at 06:04

            I'm having trouble understanding how/why parentheses work where they otherwise should not work®.

            ...

            ANSWER

            Answered 2022-Jan-09 at 16:14

            Note: When referring to documentation and source code, I provide links to an unofficial GitHub mirror of R's official Subversion repository. The links are bound to commit 97b6424 in the GitHub repo, which maps to revision 81461 in the Subversion repo (the latest at the time of this edit).

            substitute is a "special" whose arguments are not evaluated (doc).

            Source https://stackoverflow.com/questions/70602963

            QUESTION

            Can one delete a function returning an incomplete type in C++?
            Asked 2021-Dec-19 at 10:56

            In the following example function f() returning incomplete type A is marked as deleted:

            ...

            ANSWER

            Answered 2021-Dec-19 at 10:26

            Clang is wrong.

            [dcl.fct.def.general]

            2 The type of a parameter or the return type for a function definition shall not be a (possibly cv-qualified) class type that is incomplete or abstract within the function body unless the function is deleted ([dcl.fct.def.delete]).

            That's pretty clear I think. A deleted definition allows for an incomplete class type. It's not like the function can actually be called in a well-formed program, or the body is actually using the incomplete type in some way. The function is a placeholder to signify an invalid result to overload resolution.

            Granted, the parameter types are more interesting in the case of actual overload resolution (and the return type can be anything), but there is no reason to restrict the return type into being complete here either.

            Source https://stackoverflow.com/questions/70410542

            QUESTION

            xcrun: error: SDK "iphoneos" cannot be located
            Asked 2021-Dec-15 at 20:35

            I'm not experienced so I can't really pinpoint what is the problem. Thanks for the help.

            I cloned this repo: https://github.com/flatlogic/react-native-starter.git

            And was trying to follow the steps below:

            Clone the repo

            git clone https://github.com/flatlogic/react-native-starter.git

            Navigate to clonned folder and Install dependencies

            cd react-native-starter && yarn install

            Install Pods

            cd ios && pod install

            When I got to the pod install I'm getting that error.

            ...

            ANSWER

            Answered 2021-Jul-28 at 18:31

            I think your pod install working fine and has done its job. You need to set up iPhone SDK on your mac then try to run cd ../ && react-native run-ios.

            Follow this guide : React Native Environment set up on Mac OS with Xcode and Android Studio

            Source https://stackoverflow.com/questions/68565356

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install f

            You can install using 'pip install f' or download it from GitHub, PyPI.
            You can use f like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            Install
          • PyPI

            pip install f

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            https://github.com/igrishaev/f.git

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            gh repo clone igrishaev/f

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            git@github.com:igrishaev/f.git

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