lambda | lambda calculus interpreter | Function As A Service library
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lambda calculus interpreter
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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
I'm trying to initiate a Springboot project using Open Jdk 15, Springboot 2.6.0, Springfox 3. We are working on a project that replaced Netty as the webserver and used Jetty instead because we do not need a non-blocking environment.
In the code we depend primarily on Reactor API (Flux, Mono), so we can not remove org.springframework.boot:spring-boot-starter-webflux dependencies.
I replicated the problem that we have in a new project.: https://github.com/jvacaq/spring-fox.
I figured out that these lines in our build.gradle file are the origin of the problem.
...ANSWER
Answered 2022-Feb-08 at 12:36This problem's caused by a bug in Springfox. It's making an assumption about how Spring MVC is set up that doesn't always hold true. Specifically, it's assuming that MVC's path matching will use the Ant-based path matcher and not the PathPattern-based matcher. PathPattern-based matching has been an option for some time now and is the default as of Spring Boot 2.6.
As described in Spring Boot 2.6's release notes, you can restore the configuration that Springfox assumes will be used by setting spring.mvc.pathmatch.matching-strategy to ant-path-matcher in your application.properties file. Note that this will only work if you are not using Spring Boot's Actuator. The Actuator always uses PathPattern-based parsing, irrespective of the configured matching-strategy. A change to Springfox will be required if you want to use it with the Actuator in Spring Boot 2.6 and later.
QUESTION
I'd like to provide a view for a customer data structure, with it's own iterator. I wrote a small program to test it out, shown below. It I uncomment begin(), then it works. But if I use DummyIter, then I get a compile error.
In my full program, I've implemented a full iterator but for simplicity, I narrowed it down to the necessary functions here.
...ANSWER
Answered 2022-Mar-18 at 11:01This can't work since return types of your begin and end do not match.
So basically those iterators can't be compared to each other.
Prove:
- here is your code with extra static assert
- here is dummy fix which compiles since now same return type is used for
beginandend
Minimum requirement is that result of begin() and end() are comparable. Different types for begin() and end() are useful when size of range is not known. Here is nice explanation of sentinel (mentioned in comment).
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
Springfox 3.0.0 is not working with Spring Boot 2.6.0, after upgrading I am getting the following error
...ANSWER
Answered 2021-Dec-01 at 02:17I know this does not solve your problem directly, but consider moving to springdoc which most recent release supports Spring Boot 2.6.0. Springfox is so buggy at this point that is a pain to use. I've moved to springdoc 2 years ago because of its Spring WebFlux support and I am very happy about it. Additionally, it also supports Kotlin Coroutines, which I am not sure Springfox does.
If you decide to migrate, springdoc even has a migration guide.
QUESTION
I found out that in C++ we can use + in lambda function +[]{}
Example from the article:
ANSWER
Answered 2021-Dec-28 at 10:21It's not a feature of lambda and more is a feature of implicit type conversion.
What happens there is stemming from the fact that a captureless lambda can be implicitly converted to a pointer to function with same signature as lambda's operator(). +[]{} is an expression where unary + is a no-op , so the only legal result of expression is a pointer to function.
In result auto funcPtr would be a pointer to a function, not an instance of an object with anonymous type returned by lambda expression. Not much of advantage in provided code, but it can be important in type-agnostic code, e.g. where some kind of decltype expression is used. E.g.
QUESTION
I need help to make the snippet below. I need to merge two files and performs computation on matched lines
I have oldFile.txt which contains old data and newFile.txt with an updated sets of data.
I need to to update the oldFile.txt based on the data in the newFile.txt and compute the changes in percentage. Any idea will be very helpful. Thanks in advance
...ANSWER
Answered 2021-Dec-10 at 13:31Here is a sample code to output what you need.
I use the formula below to calculate pct change.
percentage_change = 100*(new-old)/old
If old is 0 it is changed to 1 to avoid division by zero error.
QUESTION
#include
int main()
{
auto f1 = [](auto&) mutable {};
static_assert(std::is_invocable_v); // ok
auto const f2 = [](auto&) {};
static_assert(std::is_invocable_v); // ok
auto const f3 = [](auto&) mutable {};
static_assert(std::is_invocable_v); // failed
}
ANSWER
Answered 2021-Dec-10 at 19:09You get an error for this for the very same reason:
QUESTION
For a given list of tuples, if multiple tuples in the list have the first element of tuple the same - among them select only the tuple with the maximum last element.
For example:
...ANSWER
Answered 2021-Sep-02 at 06:45QUESTION
I was checking the code of the toolz library's groupby function in Python and I found this:
ANSWER
Answered 2021-Sep-22 at 13:05This is a somewhat confusing trick to save a small amount of time:
We are creating a defaultdict with a factory function that returns a bound append method of a new list instance with [].append. Then we can just do d[key(item)](item) instead of d[key(item)].append(item) like we would have if we create a defaultdict that contains lists. If we don't lookup append everytime, we gain a small amount of time.
But now the dict contains bound methods instead of the lists, so we have to get the original list instance back via __self__.
__self__ is an attribute described for instance methods that returns the original instance. You can verify that with this for example:
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