wrap | wrap : an urban transportation modeling system

 by   spartalab Java Version: Current License: GPL-3.0

kandi X-RAY | wrap Summary

kandi X-RAY | wrap Summary

wrap is a Java library typically used in Travel, Transportation, Logistics applications. wrap has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However wrap build file is not available. You can download it from GitHub.

wrap is an implementation of the Four-Step model of traffic demand prediction written in Java. This project was originally created as an implementation of Dial's static traffic assignment Algorithm B, as part of a course project for the Transportation Network Analysis (CE 392C) course at the University of Texas at Austin. Work has since been underway to expand this package to cover the remaining steps, namely trip generation, distribution, and mode choice. This project continues to be under active development as of 2019-04.
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            kandi-support Support

              wrap has a low active ecosystem.
              It has 6 star(s) with 0 fork(s). There are 6 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              wrap has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of wrap is current.

            kandi-Quality Quality

              wrap has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              wrap is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              wrap releases are not available. You will need to build from source code and install.
              wrap has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed wrap and discovered the below as its top functions. This is intended to give you an instant insight into wrap implemented functionality, and help decide if they suit your requirements.
            • Returns a list with the k shortest paths in the given origin
            • Gets a path between origin and destination
            • Returns true if this path equals another path
            • Remove a link
            • Reads an ONNMatrix from a file
            • Read a fixed size demand map
            • Inserts a float value
            • Reads conic triangles from a graph
            • Puts the demand map into the given matrix
            • Runs the pipeline
            • Writes an ODMatrix to the output directory
            • Run the computation
            • Read a map from a file in a map
            • Balance the resource map
            • Returns the cost value of a traversal cost
            • Runs the ODMatrices
            • Process a given container
            • Balance the resource buckets
            • The main run method
            • Writes a PAM matrix
            • Builds a structure from the given forest
            • Generates a directed graph for the given links
            • Applies the weighted ratio to all zones
            • Creates a new back vector from the given file path
            • Tries to optimize the given stream
            • Optimize the cache
            Get all kandi verified functions for this library.

            wrap Key Features

            No Key Features are available at this moment for wrap.

            wrap Examples and Code Snippets

            Wrap a function into a factory .
            pythondot img1Lines of Code : 107dot img1License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def _wrap_into_factory(nodes, entity_name, inner_factory_name,
                                   outer_factory_name, closure_vars, factory_args,
                                   future_features):
              """Wraps an AST into the body of a factory with consistent lexical contex  
            Decorator to wrap a metric function .
            pythondot img2Lines of Code : 99dot img2License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def result_wrapper(result_fn):
              """Decorator to wrap metric `result()` function in `merge_call()`.
            
              Result computation is an idempotent operation that simply calculates the
              metric value using the state variables.
            
              If metric state variables are  
            Wrap rich text lines .
            pythondot img3Lines of Code : 94dot img3License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def wrap_rich_text_lines(inp, cols):
              """Wrap RichTextLines according to maximum number of columns.
            
              Produces a new RichTextLines object with the text lines, font_attr_segs and
              annotations properly wrapped. This ought to be used sparingly, as in  

            Community Discussions

            QUESTION

            Match ergonomics and & pattern
            Asked 2022-Mar-03 at 21:14

            Consider following code

            ...

            ANSWER

            Answered 2022-Mar-03 at 21:14

            You are correct, this is due to match ergonomics. The first case should hopefully be self explanatory, but the second and third cases can be a bit counter-intuitive.

            In the second case:

            • (x,) is a non-reference pattern (see the second example in the RFC). The t tuple reference is dereferenced, and x is bound as a ref as it also is a non-reference pattern. Note that t.0 was a reference to begin with, thus resulting in x being a double reference.

            • (&y,) is also a non-reference pattern. The t tuple is dereferenced again to a (&i32,). However, &y is a reference pattern being matched to a &i32 reference. Hence y is bound with move mode and is an i32.

            In the third case:

            • Using the same reasoning as the second case, u is dereferenced via Deref coercion to an (i32,), and x, a non-reference pattern, is bound in ref mode. Hence x is an &i32.

            • Again with the same reasoning as the second case, u is dereferenced to an (i32,). The &y reference pattern is then matched to an i32, a non-reference, which causes an error.

            Source https://stackoverflow.com/questions/71343407

            QUESTION

            Switch' is not exported from 'react-router-dom'
            Asked 2022-Mar-01 at 09:07

            In package.json file react-router-dom dependencies added. App component wrapped by BrowswerRouter , but when I wrap route by switch it says the following error Switch' is not exported from 'react-router-dom'. I deleted the package.json.lock ,node modules, installed npm again and npm install @babel/core --save. Still not working. I successfully wasted 6 hour for this. Can you please help me to fix this? why it's not importing?

            Index.js

            ...

            ANSWER

            Answered 2021-Nov-04 at 18:10
            Using Routes instead of Switch in react-router v6

            You are using react-router-dom version 6, which replaced Switch with the Routes component

            Source https://stackoverflow.com/questions/69843615

            QUESTION

            What should `foo.template bar()` do when there's both a template and a non-template overload?
            Asked 2022-Jan-09 at 00:42

            A coworker shared this code with me:

            run on gcc.godbolt.org

            ...

            ANSWER

            Answered 2022-Jan-09 at 00:42

            [temp.names]/5 says that a name prefixed by template must be a template-id, meaning that it must have a template argument list. (Or it can refer to a class/alias template without template argument list, but this is deprecated in the current draft as a result of P1787R6 authored by @DavisHerring.)

            There is even an example almost identical to yours under it, identifying your use of template as ill-formed.

            The requirement and example comes from CWG defect report 96, in which the possible ambiguity without the requirement is considered.

            Open GCC bug report for this is here. I was not able to find a Clang bug report, but searching for it isn't that easy. Its implementation status page for defect reports however does list the defect report as unimplemented.

            Source https://stackoverflow.com/questions/70635683

            QUESTION

            Why does the C++23 ranges adaptor require a callable object to be copy_­constructible?
            Asked 2021-Dec-30 at 09:31

            Some ranges adaptors such as filter_­view, take_­while_­view and transform_view use std::optional's cousin copyable-box to store the callable object:

            ...

            ANSWER

            Answered 2021-Oct-09 at 14:20

            All the algorithms require copy-constructible function objects, and views are basically lazy algorithms.

            Historically, when these adaptors were added, views were required to be copyable, so we required the function objects to be copy_constructible (we couldn't require copyable without ruling out captureful lambdas). The change to make view only require movable came later.

            It is probably possible to relax the restriction, but it will need a paper and isn't really high priority.

            Source https://stackoverflow.com/questions/69507047

            QUESTION

            FFMPEG's xstack command results in out of sync sound, is it possible to mix the audio in a single encoding?
            Asked 2021-Dec-16 at 21:11

            I wrote a python script that generates a xstack complex filter command. The video inputs is a mixture of several formats described here:

            I have 2 commands generated, one for the xstack filter, and one for the audio mixing.

            Here is the stack command: (sorry the text doesn't wrap!)

            ...

            ANSWER

            Answered 2021-Dec-16 at 21:11

            I'm a bit confused as how FFMPEG handles diverse framerates

            It doesn't, which would cause a misalignment in your case. The vast majority of filters (any which deal with multiple sources and make use of frames, essentially), including the Concatenate filter require that be the sources have the same framerate.

            For the concat filter to work, the inputs have to be of the same frame dimensions (e.g., 1920⨉1080 pixels) and should have the same framerate.

            (emphasis added)

            The documentation also adds:

            Therefore, you may at least have to add a ​scale or ​scale2ref filter before concatenating videos. A handful of other attributes have to match as well, like the stream aspect ratio. Refer to the documentation of the filter for more info.

            You should convert your sources to the same framerate first.

            Source https://stackoverflow.com/questions/70020874

            QUESTION

            What is the purpose of shouldForwardProp option in styled()?
            Asked 2021-Oct-26 at 22:11

            I was able to put together that shouldForwardProp specifies which props should be forwarded to the wrapped element passed as an option to styled(), but I am having trouble finding a comprehensible example of its use case.

            Is prop forwarding here akin to passing down props in React?

            Why would one want to prevent certain props from being forwarded to the wrapped element while using styled()?

            Forgive me for my ignorance or if my question lacks clarity - I am still learning MUI and attempting to wrap my head around it.

            ...

            ANSWER

            Answered 2021-Oct-26 at 22:10

            If you're using a built-in components like div or span and you want to allow the user to customize the styles via some props.

            Source https://stackoverflow.com/questions/69730364

            QUESTION

            Why does my Intel Skylake / Kaby Lake CPU incur a mysterious factor 3 slowdown in a simple hash table implementation?
            Asked 2021-Oct-26 at 09:13

            In short:

            I have implemented a simple (multi-key) hash table with buckets (containing several elements) that exactly fit a cacheline. Inserting into a cacheline bucket is very simple, and the critical part of the main loop.

            I have implemented three versions that produce the same outcome and should behave the same.

            The mystery

            However, I'm seeing wild performance differences by a surprisingly large factor 3, despite all versions having the exact same cacheline access pattern and resulting in identical hash table data.

            The best implementation insert_ok suffers around a factor 3 slow down compared to insert_bad & insert_alt on my CPU (i7-7700HQ). One variant insert_bad is a simple modification of insert_ok that adds an extra unnecessary linear search within the cacheline to find the position to write to (which it already knows) and does not suffer this x3 slow down.

            The exact same executable shows insert_ok a factor 1.6 faster compared to insert_bad & insert_alt on other CPUs (AMD 5950X (Zen 3), Intel i7-11800H (Tiger Lake)).

            ...

            ANSWER

            Answered 2021-Oct-25 at 22:53
            Summary

            The TLDR is that loads which miss all levels of the TLB (and so require a page walk) and which are separated by address unknown stores can't execute in parallel, i.e., the loads are serialized and the memory level parallelism (MLP) factor is capped at 1. Effectively, the stores fence the loads, much as lfence would.

            The slow version of your insert function results in this scenario, while the other two don't (the store address is known). For large region sizes the memory access pattern dominates, and the performance is almost directly related to the MLP: the fast versions can overlap load misses and get an MLP of about 3, resulting in a 3x speedup (and the narrower reproduction case we discuss below can show more than a 10x difference on Skylake).

            The underlying reason seems to be that the Skylake processor tries to maintain page-table coherence, which is not required by the specification but can work around bugs in software.

            The Details

            For those who are interested, we'll dig into the details of what's going on.

            I could reproduce the problem immediately on my Skylake i7-6700HQ machine, and by stripping out extraneous parts we can reduce the original hash insert benchmark to this simple loop, which exhibits the same issue:

            Source https://stackoverflow.com/questions/69664733

            QUESTION

            Why does C++23 std::move_only_function not have deduction guides?
            Asked 2021-Oct-21 at 02:18

            C++23 introduced std::function's cousin std::move_only_function, just like its name, it is a move-only wrapper for move-only callable objects (demo):

            ...

            ANSWER

            Answered 2021-Oct-21 at 02:18

            Type-erasing wrappers like move_only_function are designed to be used on API boundaries, where the types are explicit, which makes CTAD for these of dubious usefulness.

            Any CTAD for these callable wrappers would have to be quite limited anyway - it can't handle overloaded functions or function templates, which also means that it can't handle generic lambdas, which is a rather significant limitation on its usefulness. std::function's CTAD also comes with a disclaimer that later standards can change the deduced type (we haven't changed it yet, but we haven't removed the disclaimer either).

            And with move_only_function it's not just the return and argument types that are deduced. const, noexcept, and ref-qualifiers are all in play, and that introduces new design issues. For instance, does deducing from int (*)(int) deduce int(int)? Why not int(int) const - function pointers are const-callable, after all?

            And if CTAD turns out to be needed - and someone come up with a good design for it - it can always be added later.

            I don't know if these points were all raised in the LEWG discussion (the minutes are rather sparse), but I think they are more than enough to justify not supporting CTAD.

            Source https://stackoverflow.com/questions/69509236

            QUESTION

            Is the const overload of begin/end of the range adapters underconstrained?
            Asked 2021-Oct-09 at 03:58

            In C++20, some ranges have both const and non-const begin()/end(), while others only have non-const begin()/end().

            In order to enable the range adapters that wraps the former to be able to use begin()/end() when it is const qualified, some range adapters such as elements_view, reverse_view and common_view all provide constrained const-qualified begin()/end() functions, for example:

            ...

            ANSWER

            Answered 2021-Oct-09 at 03:58

            Recent SG9 discussion on LWG3564 concluded that the intended design is that x and as_const(x) should be required to be substitutable with equal results in equality-preserving expressions for which both are valid. In other words, they should be "equal" in the [concepts.equality] "same platonic value" sense. Thus, for instance, it is not valid for x and as_const(x) to have entirely different elements.

            The exact wording and scope of the rule will have to await a paper, and we'll have to take care to avoid banning reasonable code. But certainly things like "x is a range of pairs but as_const(x) is a range of ints" are not within any reasonable definition of "reasonable".

            Source https://stackoverflow.com/questions/69268516

            QUESTION

            Is Swift array reversed()[n] efficient or not?
            Asked 2021-Jul-14 at 10:31

            When you call reversed() on an array in Swift, you get a ReverseCollection which merely wraps the original array with reversed access. Thus this is extremely efficient:

            ...

            ANSWER

            Answered 2021-Jul-11 at 13:28

            Yes, indexing by Int is causing you to lose your O(1) access into the reversed array. Quite the gotcha!

            As you note, reversed() here is an overloaded method; on Array specifically, you have two definitions to choose from:

            1. BidirectionalCollection.reversed(), which returns a ReversedCollection, and
            2. Sequence.reversed(), which turns any sequence into a reversed [Element]

            The overloading here is most confusing for Array itself, because it's the only Sequence type such that type(of: x) == type(of: x.reversed()).

            The Swift type checker prefers more specific overloads over less-specific ones, so in general, the compiler will use the BidirectionalCollection overload instead of the Sequence one where possible. The rub: BidirectionalCollection has an opaque index type, and cannot be indexed using an Int; when you do index into the collection with an Int, the compiler is instead forced to choose the Sequence overload over the BidirectionalCollection one. This is also why your second code sample fails to compile: Swift code inference does not take into account surrounding context on other lines; on its own, rev is preferred to be a ReversedCollection>, so attempting to index into it with an Int fails.

            You can see this a little more clearly with the following:

            Source https://stackoverflow.com/questions/68332664

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

            Vulnerabilities

            No vulnerabilities reported

            Install wrap

            You can download it from GitHub.
            You can use wrap like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the wrap component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

            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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