f | Functional stuff for Python | Functional Programming library
kandi X-RAY | f Summary
kandi X-RAY | f Summary
A bunch of useful functions to work with data structures.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- 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
f Key Features
f Examples and Code Snippets
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
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
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
Trending Discussions on f
QUESTION
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 17:42From 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:
QUESTION
version pip 21.2.4 python 3.6
The command:
...ANSWER
Answered 2021-Nov-19 at 13:30It looks like setuptools>=58
breaks support for use_2to3
:
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
QUESTION
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 14:53I 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.
QUESTION
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 09:18I'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.
QUESTION
I have a dockerfile that currently only installs pip-tools
...ANSWER
Answered 2022-Feb-05 at 16:30It is a bug, you can downgrade using:
pip install "pip<22"
QUESTION
Let's say we have these 3 classes:
...ANSWER
Answered 2022-Jan-13 at 21:04It 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:
More ExamplesOtherwise, the method invocation is ambiguous, and a compile-time error occurs.
QUESTION
I have a very simple snippet:
...ANSWER
Answered 2022-Jan-28 at 18:58Use 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:
QUESTION
I'm having trouble understanding how/why parentheses work where they otherwise should not work®.
...ANSWER
Answered 2022-Jan-09 at 16:14Note: 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).
QUESTION
In the following example function f()
returning incomplete type A
is marked as deleted:
ANSWER
Answered 2021-Dec-19 at 10:26Clang 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.
QUESTION
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 repogit clone https://github.com/flatlogic/react-native-starter.git
Navigate to clonned folder and Install dependenciescd react-native-starter && yarn install
Install Podscd ios && pod install
When I got to the pod install I'm getting that error.
...ANSWER
Answered 2021-Jul-28 at 18:31I 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
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install f
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
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page