flat_map | A compact map stored as a vector of key , value pairs | Map library

 by   toffaletti Rust Version: Current License: Apache-2.0

kandi X-RAY | flat_map Summary

kandi X-RAY | flat_map Summary

flat_map is a Rust library typically used in Geo, Map applications. flat_map has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

A compact map stored as a vector of key, value pairs.
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            kandi-support Support

              flat_map has a low active ecosystem.
              It has 10 star(s) with 7 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 2 have been closed. On average issues are closed in 1 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of flat_map is current.

            kandi-Quality Quality

              flat_map has no bugs reported.

            kandi-Security Security

              flat_map has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              flat_map is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              flat_map releases are not available. You will need to build from source code and install.

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            flat_map Key Features

            No Key Features are available at this moment for flat_map.

            flat_map Examples and Code Snippets

            No Code Snippets are available at this moment for flat_map.

            Community Discussions

            QUESTION

            Resource-efficient finding ONE possible combinations of numbers to reach a given sum
            Asked 2021-Jun-10 at 02:06

            I am using these algorithms in Ruby:

            ...

            ANSWER

            Answered 2021-Jun-01 at 02:43
            def find_one_subset_sum(inp, sum)
              candidates = inp.filter { |i| i < sum } # don't do this optimize if inp contain negative numbers
              sum_combi_hash = Hash.new do |hash, key|
                if key > 0
                  hash[key] = {candidates[key] => [candidates[key]]}
                  if hash[key - 1][sum].nil?
                    hash[key - 1].each do |s, c|
                      hash[key][s] = c
                      new_s = s + candidates[key]
                      next unless hash[key][new_s].nil?
                      hash[key][new_s] = c + [candidates[key]]
                      break if new_s == sum
                    end
                  else
                    hash[key][sum] = hash[key - 1][sum]
                  end
                  hash[key]
                else
                  hash[key] = {candidates.first => [candidates.first]}
                end
              end
              sum_combi_hash[candidates.size - 1][sum]
            end
            

            Source https://stackoverflow.com/questions/67775484

            QUESTION

            Install Cmake 3.19.2 with Homebrew
            Asked 2021-Jun-07 at 01:27

            I'm trying to install an older version of CMake to compile a software that requires it (https://github.com/horosproject/horos)

            If you use brew install cmake it will install 3.20 versions, but I need to install 3.19.2 to get the compilation to work.

            You would think this would be easy but I have been struggling. Here are some things I have tried:

            ...

            ANSWER

            Answered 2021-Jun-07 at 01:27

            brew install ./cmake.rb will try to install a bottle, which obviously doesn't exist anymore. Try installing from source with brew install -s ./cmake.rb.

            Source https://stackoverflow.com/questions/67781625

            QUESTION

            How to stop an infinite iterator on the first None value?
            Asked 2021-May-25 at 15:27

            I don't know why in the below code the iteration is not stopped in the first encountered None (after reaching the empty range 0..0)

            ...

            ANSWER

            Answered 2021-May-25 at 15:27

            flat_map() is the wrong tool for this task. It is designed to flatten an iterator of iterators, i.e. whenever it encounters None on an inner iterator, its job is to switch to the next iterator. If you keep feeding it empty iterators, it will keep looping until it finds a non-empty one to deliver values from. flat_map() will only terminate iteration when the outer iterator does, which in your case never happens.

            What you need is two things: first, mark the end of iteration in some way other than an empty iterator - e.g. by using an Option where Some means "here is another iterator for you" and None means "I'm no longer interested in iteration, you can terminate". Second, you need to terminate the iteration before the flattening step, using an adapter with the capacity to do so, such as take_while() or scan().

            Here is a modification of your code that terminates after i reaches 10:

            Source https://stackoverflow.com/questions/67686711

            QUESTION

            Generalizing iteraton method in Rust
            Asked 2021-May-11 at 14:58

            Suppose I have some custom collection of Foos:

            ...

            ANSWER

            Answered 2021-May-11 at 14:58

            Unfortunately, what you are trying to do is not really possible in Rust right now. Not by design, but simply because some relevant type level features are not implemented or stabilized yet.

            Unless you have spare time, an interest in type level stuff and are willing to use nightly: just use boxed iterators. They are simple, they just work, and in most cases it will likely not even hurt performance in a meaningful way.


            You're still reading? Ok let's talk about it.

            As you intuitively tried, impl Trait in return type position would be the obvious solution here. But as you noticed, it doesn't work: error[E0562]: `impl Trait` not allowed outside of function and inherent method return types. Why is that? RFC 1522 says:

            Initial limitations:

            impl Trait may only be written within the return type of a freestanding or inherent-impl function, not in trait definitions [...] Eventually, we will want to allow the feature to be used within traits [...]

            These initial limitations were put in place because the type level machinery to make this work was/is not in place yet:

            One important usecase of abstract return types is to use them in trait methods.

            However, there is an issue with this, namely that in combinations with generic trait methods, they are effectively equivalent to higher kinded types. Which is an issue because Rust's HKT story is not yet figured out, so any "accidental implementation" might cause unintended fallout.

            The following explanation in the RFC is also worth reading.

            That said, some uses of impl Trait in traits can be achieved already today: with associated types! Consider this:

            Source https://stackoverflow.com/questions/67461105

            QUESTION

            Is tensorflow dataset 'prefetch' method add a dimension for my data? why?
            Asked 2021-Apr-05 at 14:28

            Here is an example, this func is used to cut time sequence into windows:

            ...

            ANSWER

            Answered 2021-Apr-05 at 14:28

            prefetch allows later elements to be prepared while the current element is being processed. This often improves latency and throughput at the cost of using additional memory to store prefetched elements.

            Where as batch is combines consecutive elements of dataset into batches based on batch_size.

            It has no concept of examples vs. batches. examples.prefetch(2) will prefetch two elements (2 examples), while examples.batch(20).prefetch(2) will prefetch 2 elements (2 batches, of 20 examples each).

            For more details you can refer methods of tf.data.Dataset.

            Source https://stackoverflow.com/questions/66796379

            QUESTION

            How do you merge two arrays of u8 and u16 elements into an array of u8 elements?
            Asked 2021-Apr-01 at 21:18

            So I have an array I've just created of u8 (a) and a slice of u16 (b). How can I get an array that is the result of concatenating the elements of a with the elements of b after turning these into u8?

            I've tried a lot of modifications of the following code, but there is always some error.

            ...

            ANSWER

            Answered 2021-Apr-01 at 21:13

            QUESTION

            How to reshape data in Tensorflow dataset?
            Asked 2021-Mar-30 at 02:54

            I am writing a data pipeline to feed batches of time-series sequences and corresponding labels into an LSTM model which requires a 3D input shape. I currently have the following:

            ...

            ANSWER

            Answered 2021-Mar-30 at 02:54

            That's easy. Do this in your split function

            Source https://stackoverflow.com/questions/66862298

            QUESTION

            is there any way to adopt a memory resource for a vector?
            Asked 2021-Mar-24 at 23:58

            I have started using pmr::allocators in my project, and I have seen a lot of performance boost and advantage from using them. I use allocator very similar to what I show int the simple example below:

            ...

            ANSWER

            Answered 2021-Mar-24 at 23:58

            What you want is not to adopt the memory resource - because you can and do - but to also store the vector itself there.

            You can, e.g. using a helper to create unique_ptr's with custom deleters:

            Source https://stackoverflow.com/questions/66789902

            QUESTION

            My test fails at "attempt to subtract with overflow"
            Asked 2021-Mar-23 at 00:19
            use itertools::Itertools;
            
            #[derive(Copy, Clone, PartialEq, Eq, PartialOrd, Ord)]
            struct Runner {
                sec: u16,
            }
            
            impl Runner {
                fn from(v: (u8, u8, u8)) -> Runner {
                    Runner {
                        sec: v.0 as u16 * 3600 + v.1 as u16 * 60 + v.2 as u16
                    }
                }
            }
            
            
            fn parse_runner(strg: &str) -> Vec {
                strg.split(", ")
                    .flat_map(|personal_result| personal_result.split('|'))
                    .map(|x| x.parse::().unwrap())
                    .tuples::<(_, _, _)>()
                    .map(|x| Runner::from(x))
                    .sorted()
                    .collect::>()
            }
            
            fn parse_to_format(x: u16) -> String {
                let h = x / 3600;
                let m = (x - 3600)/60;
                let s = x % 60;
            
                format!("{:02}|{:02}|{:02}", h, m, s)
            }
            
            fn return_stats(runners: &[Runner]) -> String {
                let range: u16 = runners.last().unwrap().sec - runners.first().unwrap().sec;
                let average: u16 = runners.iter().map(|&r| r.sec).sum::()/(runners.len() as u16);
                let median: u16 = if runners.len()%2 != 0 {
                    runners.get(runners.len()/2).unwrap().sec
                } else {
                    runners.get(runners.len()/2).unwrap().sec/2 + runners.get((runners.len()/2) + 1).unwrap().sec/2
                };
                format!("Range: {} Average: {} Median: {}", parse_to_format(range), parse_to_format(average), parse_to_format(median))
            
            }
            
            fn stati(strg: &str) -> String {
                let run_vec = parse_runner(strg);
                return_stats(&run_vec)
            }
            
            ...

            ANSWER

            Answered 2021-Mar-22 at 23:37
            let m = (x - 3600) / 60;
            

            Source https://stackoverflow.com/questions/66754977

            QUESTION

            Troubles implementing a recursive iterator using functional style (flat_map, etc) which handles errors and produces items of type Result<...>
            Asked 2021-Feb-21 at 14:51

            As a learning exercise, I'm trying to write a function that implements an iterator over a file tree, using functional style (compose other iterators and stuff using functions like flat_map) which yields items of type Result<...>, and uses that to signal errors (instead of panicking). This is something that's easy in other languages like Python and Kotlin, but I've heard it's harder in Rust and I wanted to find out how much harder is it. I've got a simplified variant working (which panics on errors), but I can't figure out the way to write the same function with correct handling of errors. In the code below, in the branches of match where I should produce errors, I've tried everything imaginable (for me) and I always get compile time errors about incompatible types in match arms. What do I miss here?

            ...

            ANSWER

            Answered 2021-Feb-21 at 14:50

            In your outer match, the compiler can infer that both branches should be coerced to Box because of the return type. But that inference doesn't bubble up into the nested match since flat_map is generic over the inner iterator type.

            To fix that, you can either annotate the first branch of the match, or create a temporary variable with the expected type:

            Source https://stackoverflow.com/questions/66297608

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

            Vulnerabilities

            No vulnerabilities reported

            Install flat_map

            You can download it from GitHub.
            Rust is installed and managed by the rustup tool. Rust has a 6-week rapid release process and supports a great number of platforms, so there are many builds of Rust available at any time. Please refer rust-lang.org for more information.

            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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            https://github.com/toffaletti/flat_map.git

          • CLI

            gh repo clone toffaletti/flat_map

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            git@github.com:toffaletti/flat_map.git

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