r5 | power Conveyal 's web-based interface | Web Services library

 by   conveyal Java Version: 4.8.1 License: MIT

kandi X-RAY | r5 Summary

kandi X-RAY | r5 Summary

r5 is a Java library typically used in Web Services applications. r5 has build file available, it has a Permissive License and it has low support. However r5 has 116 bugs and it has 2 vulnerabilities. You can download it from GitHub, Maven.

Developed to power a web-based interface for scenario planning and land-use/transport accessibility analysis, R5 is Conveyal's routing engine for multimodal (transit/bike/walk/car) networks with a particular focus on public transit

            kandi-support Support

              r5 has a low active ecosystem.
              It has 217 star(s) with 61 fork(s). There are 16 watchers for this library.
              It had no major release in the last 12 months.
              There are 195 open issues and 357 have been closed. On average issues are closed in 792 days. There are 23 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of r5 is 4.8.1

            kandi-Quality Quality

              r5 has 116 bugs (24 blocker, 5 critical, 49 major, 38 minor) and 3464 code smells.

            kandi-Security Security

              r5 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              r5 code analysis shows 2 unresolved vulnerabilities (2 blocker, 0 critical, 0 major, 0 minor).
              There are 35 security hotspots that need review.

            kandi-License License

              r5 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

              r5 releases are available to install and integrate.
              Deployable package is available in Maven.
              Build file is available. You can build the component from source.
              r5 saves you 42768 person hours of effort in developing the same functionality from scratch.
              It has 50583 lines of code, 3688 functions and 563 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed r5 and discovered the below as its top functions. This is intended to give you an instant insight into r5 implemented functionality, and help decide if they suit your requirements.
            • Calculates the fare bounds for the given state
            • Initialize the fare overrides for a given route
            • Initialise the fare overrides for the traffic of the traffic layer
            • Initialize the fare overrides for the traffic in the vehicle
            • Create a Bundle of GTF handles
            • Returns the work product type for the given model
            • Writes the given bundle config to disk
            • Creates a ProgressInputStream for an uploaded file item
            • Creates an opportunity dataset
            • Adjusts the trip pattern if any
            • Calculates the fare based on the current state
            • Combine the results of multiple street searches using the given parameters
            • Computes the accessTimes and the accessTimes from the route request
            • Finds the polygon feature from the network
            • Configure the spark service
            • Rewrite a trip schedule
            • Processes a pattern and returns a copy of the traffic pattern
            • Writes this node to the specified sink
            • Associates PointSet with a list of Point vertices
            • This is the main entry point for reading from the input file
            • Handles a single - point request
            • Main entry point
            • Calculates the fare based on the incoming state
            • Creates a new regional analysis object
            • Extract the median of a region
            • Get the plan for a profile
            Get all kandi verified functions for this library.

            r5 Key Features

            No Key Features are available at this moment for r5.

            r5 Examples and Code Snippets

            No Code Snippets are available at this moment for r5.

            Community Discussions


            Why does gcc -march=znver1 restrict uint64_t vectorization?
            Asked 2022-Apr-10 at 02:47

            I'm trying to make sure gcc vectorizes my loops. It turns out, that by using -march=znver1 (or -march=native) gcc skips some loops even though they can be vectorized. Why does this happen?

            In this code, the second loop, which multiplies each element by a scalar is not vectorised:



            Answered 2022-Apr-10 at 02:47

            The default -mtune=generic has -mprefer-vector-width=256, and -mavx2 doesn't change that.

            znver1 implies -mprefer-vector-width=128, because that's all the native width of the HW. An instruction using 32-byte YMM vectors decodes to at least 2 uops, more if it's a lane-crossing shuffle. For simple vertical SIMD like this, 32-byte vectors would be ok; the pipeline handles 2-uop instructions efficiently. (And I think is 6 uops wide but only 5 instructions wide, so max front-end throughput isn't available using only 1-uop instructions). But when vectorization would require shuffling, e.g. with arrays of different element widths, GCC code-gen can get messier with 256-bit or wider.

            And vmovdqa ymm0, ymm1 mov-elimination only works on the low 128-bit half on Zen1. Also, normally using 256-bit vectors would imply one should use vzeroupper afterwards, to avoid performance problems on other CPUs (but not Zen1).

            I don't know how Zen1 handles misaligned 32-byte loads/stores where each 16-byte half is aligned but in separate cache lines. If that performs well, GCC might want to consider increasing the znver1 -mprefer-vector-width to 256. But wider vectors means more cleanup code if the size isn't known to be a multiple of the vector width.

            Ideally GCC would be able to detect easy cases like this and use 256-bit vectors there. (Pure vertical, no mixing of element widths, constant size that's am multiple of 32 bytes.) At least on CPUs where that's fine: znver1, but not bdver2 for example where 256-bit stores are always slow due to a CPU design bug.

            You can see the result of this choice in the way it vectorizes your first loop, the memset-like loop, with a vmovdqu [rdx], xmm0. https://godbolt.org/z/E5Tq7Gfzc

            So given that GCC has decided to only use 128-bit vectors, which can only hold two uint64_t elements, it (rightly or wrongly) decides it wouldn't be worth using vpsllq / vpaddd to implement qword *5 as (v<<2) + v, vs. doing it with integer in one LEA instruction.

            Almost certainly wrongly in this case, since it still requires a separate load and store for every element or pair of elements. (And loop overhead since GCC's default is not to unroll except with PGO, -fprofile-use. SIMD is like loop unrolling, especially on a CPU that handles 256-bit vectors as 2 separate uops.)

            I'm not sure exactly what GCC means by "not vectorized: unsupported data-type". x86 doesn't have a SIMD uint64_t multiply instruction until AVX-512, so perhaps GCC assigns it a cost based on the general case of having to emulate it with multiple 32x32 => 64-bit pmuludq instructions and a bunch of shuffles. And it's only after it gets over that hump that it realizes that it's actually quite cheap for a constant like 5 with only 2 set bits?

            That would explain GCC's decision-making process here, but I'm not sure it's exactly the right explanation. Still, these kinds of factors are what happen in a complex piece of machinery like a compiler. A skilled human can easily make smarter choices, but compilers just do sequences of optimization passes that don't always consider the big picture and all the details at the same time.

            -mprefer-vector-width=256 doesn't help: Not vectorizing uint64_t *= 5 seems to be a GCC9 regression

            (The benchmarks in the question confirm that an actual Zen1 CPU gets a nearly 2x speedup, as expected from doing 2x uint64 in 6 uops vs. 1x in 5 uops with scalar. Or 4x uint64_t in 10 uops with 256-bit vectors, including two 128-bit stores which will be the throughput bottleneck along with the front-end.)

            Even with -march=znver1 -O3 -mprefer-vector-width=256, we don't get the *= 5 loop vectorized with GCC9, 10, or 11, or current trunk. As you say, we do with -march=znver2. https://godbolt.org/z/dMTh7Wxcq

            We do get vectorization with those options for uint32_t (even leaving the vector width at 128-bit). Scalar would cost 4 operations per vector uop (not instruction), regardless of 128 or 256-bit vectorization on Zen1, so this doesn't tell us whether *= is what makes the cost-model decide not to vectorize, or just the 2 vs. 4 elements per 128-bit internal uop.

            With uint64_t, changing to arr[i] += arr[i]<<2; still doesn't vectorize, but arr[i] <<= 1; does. (https://godbolt.org/z/6PMn93Y5G). Even arr[i] <<= 2; and arr[i] += 123 in the same loop vectorize, to the same instructions that GCC thinks aren't worth it for vectorizing *= 5, just different operands, constant instead of the original vector again. (Scalar could still use one LEA). So clearly the cost-model isn't looking as far as final x86 asm machine instructions, but I don't know why arr[i] += arr[i] would be considered more expensive than arr[i] <<= 1; which is exactly the same thing.

            GCC8 does vectorize your loop, even with 128-bit vector width: https://godbolt.org/z/5o6qjc7f6

            Source https://stackoverflow.com/questions/71811588


            unexpected behaviour when using Javascript to hide elements of an HTML table
            Asked 2022-Mar-18 at 10:24

            I am observing strange behaviour when using Javascript to hide portions of an HTML table, and it varies depending on which browser I use. I have made the HTML accessible on this site


            and also include it below, but I thought the website was handy for seeing the behaviour for yourself very quickly.

            As you can see, the page shows a degree structure. If I select the "Certificate" toggle in Firefox, I get the expected behaviour - Semester Two disappears, and so does the middle module of Semester One (and the choice for the bottom row of Semester One extends).

            Again in Firefox, if I then select the "MSc" toggle, I get the expected reverse behaviour - the hidden table elements reappear.

            However, if I select the "Diploma" toggle, the text in the unapplicable table elements disappears (good), but their background colour doesn't (bad).

            Now here's the super-weird bit - if I then swap browser tabs and back again (or switch apps and back again), the background colour gets fixed i.e. it goes away!

            In fact, I don't even need to leave the window. If I open the Web Developer console, I only have take my mouse pointer outside of the display portion of the window (even just to hover over a scroll bar) and the background colour disappears.

            So I guess there is some event occuring when I do this which prompts Firefox to have some kind of mini-refresh.

            With that in mind, I tried adding



            Answered 2022-Mar-18 at 10:24

            This is really funky behavior.

            I believe this is related to the fact, that in the javascript you are setting table row visibility and table cell visibility so that there are mismatches. The previous state of the row and cell seem to affect how css classes are rendered.

            I created a simple example below, where this is demonstrated. The randomize button will set row and cell visibilities to visible or collapse 50% of the time. At least with Chrome (99.0.4844.74) after few clicks you get cells that have no content but background color visible and also some cells with content visible but no background color.

            I could not find any solid logic what is determining the cell's behavior.

            Source https://stackoverflow.com/questions/71516904


            What to do with many almost-same if-statements?
            Asked 2022-Mar-11 at 05:29

            I need help. Im new on coding, so I've developed a game with pygame. It's a game where you fight as a robot against a zombie. If a fireball collides with the zombie, the heart picture will be updated from filled to half and so on.

            The Tech-Lead said that this code is not efficient because of the many if statements in the def hearts() method in the Enemy class.

            Could you please help me to shorten it? I have absolutely 0 idea what I could do. Thinking about loops, but dont know how to do it. Please help me

            Here is my code:



            Answered 2022-Mar-11 at 00:50

            The tech-lead is wrong: your code is perfectly efficient the way it is written. Making the code shorter does not make it faster or more "elegant".

            However, shorter code can be easier to maintain and change. Your code is fine as long as the number of heart containers is always exactly 12. But if you want to change that (to increase/decrease the difficultly of the game, or let the player get new heart containers) then this code won't work. It is hard-coded to work with exactly 12 heart containers only.

            To change this, put this repetitive code in a loop. You'll need to look at the pattern of how the numbers change and create a small math formula for it. I've come up with the following. (I've also added constants instead of the integer literals, so that the code is easier to read and change.)

            Source https://stackoverflow.com/questions/71432303


            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:



            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


            GNU ARM assembler giving a seemingly irrelevant register in error message
            Asked 2022-Feb-15 at 11:20

            I'm building a mutex primitive using gcc inline assembly for a CortexM7 target using the LDREX and STREX instructions, following the Barrier Litmus Tests and Cookbook document from ARM.

            Code ...


            Answered 2022-Feb-15 at 11:20

            Per @jester's help, I realized I had the wrong constraint on the GCC-inline variable alias for the lock. It should have been "+m", specifying a memory address instead of a register.

            I was also de-referencing the address of the lock when I should have been leaving it as a pointer.

            I changed [lock] "+l"(*lock) to [lock] "+m"(lock) and it now builds.

            Source https://stackoverflow.com/questions/71065708


            Terraform: How can I pass variables to user_data init script
            Asked 2021-Dec-07 at 13:47

            I have been hanging around with this problem for some time now and I can't solve it.

            I'm launching an EC2 instance that runs a bash script and installs a few things. At the same time, I am also launching an RDS instance, but I need to be able to pass the value from the RDS endpoint to the EC2 instance to configure the connection.

            I'm trying to do this using templatefile, like this



            Answered 2021-Dec-07 at 13:47

            The variable is not a shell variable but a templated variable — so terraform will parse the file, regardless of its type and replace terraform variables in the said file.

            Knowing this, $rds is not a terraform variable interpolation, while ${rds} is.

            So, your bash script should rather be:

            Source https://stackoverflow.com/questions/70261087


            Can't install bash in multiarch build on Alpine
            Asked 2021-Nov-16 at 11:01

            I am trying to build image for linux/arm64/v8 on linux/amd64 Gitlab runner. I run it with this command:



            Answered 2021-Nov-16 at 11:01

            There were three problems with my approach:

            1. I needed to install buildx extension

            Source https://stackoverflow.com/questions/69851400


            Use Paketo.io / CloudNativeBuildpacks (CNB) in GitLab CI with Kubernetes executor & unprivileged Runners (without pack CLI & docker)
            Asked 2021-Nov-15 at 14:04

            We want to use Paketo.io / CloudNativeBuildpacks (CNB) GitLab CI in the most simple way. Our GitLab setup uses an AWS EKS cluster with unprivileged GitLab CI Runners leveraging the Kubernetes executor. We also don't want to introduce security risks by using Docker in our builds. So we don't have our host’s /var/run/docker.sock exposed nor want to use docker:dind.

            We found some guides on how to use Paketo with GitLab CI like this https://tanzu.vmware.com/developer/guides/gitlab-ci-cd-cnb/ . But as described beneath the headline Use Cloud Native Buildpacks with GitLab in GitLab Build Job WITHOUT Using the GitLab Build Template, the approach relies on Docker and pack CLI. We tried to resemble this in our .gitlab-ci.yml which looks like this:



            Answered 2021-Nov-15 at 14:04

            Use the Buildpack's lifecycle directly inside your .gitlab-ci.yml here's a fully working example):

            Source https://stackoverflow.com/questions/69569784


            Extract column names for each value in column in matrix in R
            Asked 2021-Nov-07 at 19:30

            I have following matrix:



            Answered 2021-Nov-07 at 19:29

            We may use paste in a vectorized way by replicating the column names with col index and then get the unique after pasteing with the values of the n.mat (it is a data.frame after as.data.frame - so we used unlist)

            Source https://stackoverflow.com/questions/69875793


            Address Sanitizier invokes OOM-killer
            Asked 2021-Oct-14 at 09:45

            I am trying to use Address Sanitizer, but the kernel keeps killing my process due to excessive memory usage. Without Address Sanitizer the process runs just fine.

            The program is compiled for arm-v7a using gcc-8.2.1 with



            Answered 2021-Oct-14 at 09:45

            You could reduce some Asan features (or enable them one by one in separate runs):

            Source https://stackoverflow.com/questions/69566515

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


            No vulnerabilities reported

            Install r5

            You can download it from GitHub, Maven.
            You can use r5 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 r5 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 .


            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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