Ox | MongoDB Database Migration Version Tool | Database library

by fernandonogueira Java Version: 1.1.4 License: MIT

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | Ox Summary

Ox is a Java library typically used in Database, Nodejs, MongoDB applications. Ox has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Ox - MongoDB Database Versioning and Migration Tool.

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Support

Ox has a low active ecosystem.

It has 14 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 12 months.

There are 3 open issues and 0 have been closed. On average issues are closed in 891 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Ox is 1.1.4

Quality

Ox has 0 bugs and 0 code smells.

Security

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

Ox code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Ox is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

Ox releases are available to install and integrate.

Build file is available. You can 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 Ox and discovered the below as its top functions. This is intended to give you an instant insight into Ox implemented functionality, and help decide if they suit your requirements.

Scan for classes in the given location
Get the names of the resources within the classpath
Creates the appropriate location location scanner for the given URL
Determines the physical location URLs for the given location on the classpath
Removes an index
Verifies if an existing index already exists
Identify index attributes and ordering
Checks if two maps are equal
Run create index action
Drops named index
Generate options for create index options
Parse the attributes to a DBObject
Find the resource names for a resource
Retrieves the JAR file represented by this URL
Finds all resource names within this directory
Loads the contents of this resource as a string
Copy the contents of the given Reader into a String
Scans the classpath for files in the given location URL
Returns a list of resource names contained within this file system
Scan for resources
Loads the contents of a resource into a string
Compares this location with the specified object
Gets the location of the resource
Loads the resource as a byte array
Compares this resource with another

Get all kandi verified functions for this library.

Ox Key Features

No Key Features are available at this moment for Ox.

Ox Examples and Code Snippets

No Code Snippets are available at this moment for Ox.

Community Discussions

Trending Discussions on Ox

Unable to install pickle5

Cannot install pyhash -- syntax error in fnv.h

Does CRAN (or any of its relatives) have an API?

Convolution Function Latency Bottleneck

Is this gcc and clang optimizer bug with minmax and structured binding?

Why can't I return pointer to a node of my BST tree structure? C++

Splitting the color legend in a repeat spec in vega

How to map a list of Numpy matrices to a vector of Eigen matrices in Cython

Optimizing a regex in R for substring extraction

Extremely long response time with graph_from_place OSMNX

QUESTION

Unable to install pickle5

Asked 2022-Apr-12 at 10:39

PS C:\Users\Lenovo> pip install pickle5
Collecting pickle5
  Using cached pickle5-0.0.11.tar.gz (132 kB)
  Preparing metadata (setup.py) ... done
Using legacy 'setup.py install' for pickle5, since package 'wheel' is not installed.
Installing collected packages: pickle5
  Running setup.py install for pickle5 ... error
  error: subprocess-exited-with-error

  × Running setup.py install for pickle5 did not run successfully.
  │ exit code: 1
  ╰─> [36 lines of output]
      running install
      running build
      running build_py
      creating build
      creating build\lib.win-amd64-3.10
      creating build\lib.win-amd64-3.10\pickle5
      copying pickle5\pickle.py -> build\lib.win-amd64-3.10\pickle5
      copying pickle5\pickletools.py -> build\lib.win-amd64-3.10\pickle5
      copying pickle5\__init__.py -> build\lib.win-amd64-3.10\pickle5
      creating build\lib.win-amd64-3.10\pickle5\test
      copying pickle5\test\pickletester.py -> build\lib.win-amd64-3.10\pickle5\test
      copying pickle5\test\test_pickle.py -> build\lib.win-amd64-3.10\pickle5\test
      copying pickle5\test\test_picklebuffer.py -> build\lib.win-amd64-3.10\pickle5\test
      copying pickle5\test\__init__.py -> build\lib.win-amd64-3.10\pickle5\test
      running build_ext
      building 'pickle5._pickle' extension
      creating build\temp.win-amd64-3.10
      creating build\temp.win-amd64-3.10\Release
      creating build\temp.win-amd64-3.10\Release\pickle5
      C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.29.30133\bin\HostX86\x64\cl.exe /c /nologo /Ox /W3 /GL /DNDEBUG /MD -IC:\Users\Lenonvo\AppData\Local\Programs\Python\Python310\include -IC:\Users\Lenonvo\AppData\Local\Programs\Python\Python310\Include -IC:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.29.30133\include -IC:\Program Files (x86)\Windows Kits\10\include\10.0.22000.0\ucrt -IC:\Program Files (x86)\Windows Kits\10\include\10.0.22000.0\shared -IC:\Program Files (x86)\Windows Kits\10\include\10.0.22000.0\um -IC:\Program Files (x86)\Windows Kits\10\include\10.0.22000.0\winrt -IC:\Program Files (x86)\Windows Kits\10\include\10.0.22000.0\cppwinrt /Tcpickle5/_pickle.c /Fobuild\temp.win-amd64-3.10\Release\pickle5/_pickle.obj
      _pickle.c
      C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.29.30133\bin\HostX86\x64\cl.exe /c /nologo /Ox /W3 /GL /DNDEBUG /MD -IC:\Users\Lenonvo\AppData\Local\Programs\Python\Python310\include -IC:\Users\Lenonvo\AppData\Local\Programs\Python\Python310\Include -IC:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.29.30133\include -IC:\Program Files (x86)\Windows Kits\10\include\10.0.22000.0\ucrt -IC:\Program Files (x86)\Windows Kits\10\include\10.0.22000.0\shared -IC:\Program Files (x86)\Windows Kits\10\include\10.0.22000.0\um -IC:\Program Files (x86)\Windows Kits\10\include\10.0.22000.0\winrt -IC:\Program Files (x86)\Windows Kits\10\include\10.0.22000.0\cppwinrt /Tcpickle5/picklebufobject.c /Fobuild\temp.win-amd64-3.10\Release\pickle5/picklebufobject.obj
      picklebufobject.c
      pickle5/picklebufobject.c(20): warning C4273: 'PyPickleBuffer_FromObject': inconsistent dll linkage
      C:\Users\Lenonvo\AppData\Local\Programs\Python\Python310\include\cpython/picklebufobject.h(18): note: see previous definition of 'PyPickleBuffer_FromObject'
      pickle5/picklebufobject.c(39): warning C4273: 'PyPickleBuffer_GetBuffer': inconsistent dll linkage
      C:\Users\Lenonvo\AppData\Local\Programs\Python\Python310\include\cpython/picklebufobject.h(22): note: see previous definition of 'PyPickleBuffer_GetBuffer'
      pickle5/picklebufobject.c(58): warning C4273: 'PyPickleBuffer_Release': inconsistent dll linkage
      C:\Users\Lenonvo\AppData\Local\Programs\Python\Python310\include\cpython/picklebufobject.h(24): note: see previous definition of 'PyPickleBuffer_Release'
      pickle5/picklebufobject.c(208): warning C4273: 'PyPickleBuffer_Type': inconsistent dll linkage
      C:\Users\Lenonvo\AppData\Local\Programs\Python\Python310\include\cpython/picklebufobject.h(13): note: see previous definition of 'PyPickleBuffer_Type'
      C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.29.30133\bin\HostX86\x64\link.exe /nologo /INCREMENTAL:NO /LTCG /DLL /MANIFEST:EMBED,ID=2 /MANIFESTUAC:NO /LIBPATH:C:\Users\Lenonvo\AppData\Local\Programs\Python\Python310\libs /LIBPATH:C:\Users\Lenonvo\AppData\Local\Programs\Python\Python310\PCbuild\amd64 /LIBPATH:C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.29.30133\lib\x64 /LIBPATH:C:\Program Files (x86)\Windows Kits\10\lib\10.0.22000.0\ucrt\x64 /LIBPATH:C:\Program Files (x86)\Windows Kits\10\lib\10.0.22000.0\um\x64 /EXPORT:PyInit__pickle build\temp.win-amd64-3.10\Release\pickle5/_pickle.obj build\temp.win-amd64-3.10\Release\pickle5/picklebufobject.obj /OUT:build\lib.win-amd64-3.10\pickle5\_pickle.cp310-win_amd64.pyd /IMPLIB:build\temp.win-amd64-3.10\Release\pickle5\_pickle.cp310-win_amd64.lib
      python310.lib(python310.dll) : error LNK2005: PyPickleBuffer_GetBuffer already defined in picklebufobject.obj
         Creating library build\temp.win-amd64-3.10\Release\pickle5\_pickle.cp310-win_amd64.lib and object build\temp.win-amd64-3.10\Release\pickle5\_pickle.cp310-win_amd64.exp
      build\lib.win-amd64-3.10\pickle5\_pickle.cp310-win_amd64.pyd : fatal error LNK1169: one or more multiply defined symbols found
      error: command 'C:\\Program Files (x86)\\Microsoft Visual Studio\\2019\\BuildTools\\VC\\Tools\\MSVC\\14.29.30133\\bin\\HostX86\\x64\\link.exe' failed with exit code 1169
      [end of output]

  note: This error originates from a subprocess, and is likely not a problem with pip.
error: legacy-install-failure

× Encountered error while trying to install package.
╰─> pickle5

note: This is an issue with the package mentioned above, not pip.
hint: See above for output from the failure.

...

ANSWER

Answered 2022-Apr-11 at 12:19

You only need pickle5, a module backporting Pickle protocol 5 features to older Pythons when running on Python versions older than 3.8.

As evident from Python310 and -3.10 in the output, you're on Python 3.10. You don't need pickle5.

Thus, the answer to "what should you do", without us not knowing more details about your situation, is "not try to install pickle5".

Source https://stackoverflow.com/questions/71827522

QUESTION

Cannot install pyhash -- syntax error in fnv.h

Asked 2022-Mar-31 at 00:40

I am trying to install pyhash with pip. On Ubuntu 20.04.3 with Python 3.8 I was able to install after changing setuptools to 57.5.0 (python -m pip install 'setuptools~=57.5.0')

But on Windows 10 and Python 3.10 I get a compilation error. There are multiple questions here on SO about installing pyhash; based on this answer I made the following changes:

python -m pip install 'setuptools~=57.5.0'
$env:PYTHON_HOME='C:\Users\I063510\AppData\Local\Programs\Python\Python310'
pip install wheel
From Microsoft Build Tools install "Desktop development with C++"

Now I get warning and errors as follows (complete output at the bottom):

C:\Users\USERID\AppData\Local\Programs\Python\Python310\lib\site-packages\setuptools\lib2to3_ex.py:36: SetuptoolsDeprecationWarning: 2to3 support is deprecated. If the project still requires Python 2 support, please migrate to a single-codebase solution or employ an independent conversion process.

I don't care about Python 2 so this in not an issue, but I don't know how to disable it.

This error aborts the installation:

...

ANSWER

Answered 2022-Mar-31 at 00:40

Try installing it from the Git repository. There are some fixes there that are not released on PyPI yet.

Source https://stackoverflow.com/questions/71653973

QUESTION

Does CRAN (or any of its relatives) have an API?

Asked 2022-Mar-22 at 16:11

I am interested in retieving machine readable meta information about R packages.

For example, when I go to CRAN I can see a short description about the package, before I download it: https://cran.r-project.org/web/packages/MASS/

I could not find any way to retrieve a different output from the CRAN server than HTML. I would like to avoid parsing HTML and instead somehow retrieve meta information about packages in a more convenient format (e.g., JSON).

I saw that each R package (at least to my knowledge) has a yaml-like (?) description text inside its source code package (the file is called DESCRIPTION). However, so far I could only find this kind of description inside tar archives, which means that I would have to download the package before I can access its description.

Here an example of the DESCRIPTION from the MASS package:

...

ANSWER

Answered 2022-Mar-22 at 14:38

An acceptable solution is the METACRAN API that is available here: https://crandb.r-pkg.org/

Source https://stackoverflow.com/questions/71573982

QUESTION

Convolution Function Latency Bottleneck

Asked 2022-Mar-10 at 13:57

I have implemented a Convolutional Neural Network in C and have been studying what parts of it have the longest latency.

Based on my research, the massive amounts of matricial multiplication required by CNNs makes running them on CPUs and even GPUs very inefficient. However, when I actually profiled my code (on an unoptimized build) I found out that something other than the multiplication itself was the bottleneck of the implementation.

After turning on optimization (-O3 -march=native -ffast-math, gcc cross compiler), the Gprof result was the following:

Clearly, the convolution2D function takes the largest amount of time to run, followed by the batch normalization and depthwise convolution functions.

The convolution function in question looks like this:

...

ANSWER

Answered 2022-Mar-10 at 13:57

Looking at the result of Cachegrind, it doesn't look like the memory is your bottleneck. The NN has to be stored in memory anyway, but if it's too large that your program's having a lot of L1 cache misses, then it's worth thinking to try to minimize L1 misses, but 1.7% of L1 (data) miss rate is not a problem.

So you're trying to make this run fast anyway. Looking at your code, what's happening at the most inner loop is very simple (load-> multiply -> add -> store), and it doesn't have any side effect other than the final store. This kind of code is easily parallelizable, for example, by multithreading or vectorizing. I think you'll know how to make this run in multiple threads seeing that you can write code with some complexity, and you asked in comments how to manually vectorize the code.

I will explain that part, but one thing to bear in mind is that once you choose to manually vectorize the code, it will often be tied to certain CPU architectures. Let's not consider non-AMD64 compatible CPUs like ARM. Still, you have the option of MMX, SSE, AVX, and AVX512 to choose as an extension for vectorized computation, and each extension has multiple versions. If you want maximum portability, SSE2 is a reasonable choice. SSE2 appeared with Pentium 4, and it supports 128-bit vectors. For this post I'll use AVX2, which supports 128-bit and 256-bit vectors. It runs fine on your CPU, and has reasonable portability these days, supported from Haswell (2013) and Excavator (2015).

The pattern you're using in the inner loop is called FMA (fused multiply and add). AVX2 has an instruction for this. Have a look at this function and the compiled output.

Source https://stackoverflow.com/questions/71401876

QUESTION

Is this gcc and clang optimizer bug with minmax and structured binding?

Asked 2022-Mar-05 at 09:20

This program, built with -std=c++20 flag:

...

ANSWER

Answered 2022-Mar-05 at 09:20

The overload of std::minmax taking two arguments returns a pair of references to the arguments. The lifetime of the arguments however end at the end of the full expression since they are temporaries.

Therefore the output line is reading dangling references, causing your program to have undefined behavior.

Instead you can use std::tie to receive by-value:

Source https://stackoverflow.com/questions/71360896

QUESTION

Why can't I return pointer to a node of my BST tree structure? C++

Asked 2021-Dec-23 at 22:00

I was coding a BST Tree, and first i made it with integer key, everything worked fine. Then i copied my code and made some changes, i switched integer key to string key and also added one new pointer (because my goal is to create two trees, one with English words and one with their Polish translation) so i tested it just on single tree with string key first and insert function works fine like in the interger tree, but search function is returning some garbage insted of NULL or pointer to node. I dont really know what is a problem here.

I put the code of Integer tree below:

...

ANSWER

Answered 2021-Dec-23 at 20:17

The recursive function bstSearch is incorrect because it does not return a node in each its path of execution

Source https://stackoverflow.com/questions/70466809

QUESTION

Splitting the color legend in a repeat spec in vega

Asked 2021-Dec-18 at 20:18

I am using a dataset with the following columns: date, counts, country, engine, and type.

I have created a view with three charts using the repeat operator. The charts show dates on the X axis, counts on Y, and then the bars are split by either country, engine, or type.

I am happy with how things look but I would like to have three separate color legends, one for each domain (so a legend for countries, a legend for type, and a legend for engine). How do I do that?

Here is the link to the editor.

...

ANSWER

Answered 2021-Dec-18 at 20:18

To have independent color scales & legends, add the following at the top level of the chart specification:

Source https://stackoverflow.com/questions/70396532

QUESTION

How to map a list of Numpy matrices to a vector of Eigen matrices in Cython

Asked 2021-Dec-01 at 18:34

I have a C++ function which I want to run from Python. For this I use Cython. My C++ function relies heavily on Eigen matrices which I map to Python's Numpy matrices using Eigency.

I cannot get this to work for the case where I have a list of Numpy matrices.

What does works (mapping a plain Numpy matrix to an Eigen matrix):

I have a C++ function which in the header (Header.h) looks like:

...

ANSWER

Answered 2021-Dec-01 at 18:34

Thanks to @ead I found a solution.

FlattenedMapWithOrder has implementation so it can be assinged to an Eigen::Matrix. However, std::vector does not have such functionality and since std::vector and std::vector are of a different type, they cannot be assigned to one another. More about this here. The implementation in FlattenedMapWithOrder mentioned above is here.

To solve this, the function in the C++ code called from Cython need to simply have as input argument the matching type: std::vector. To do this, the C++ code needs to know the definition of type FlattenedMapWithOrder.

To do this, you need to #include "eigency_cpp.h". Unfortunately, this header is not self contained. Therefore, (credits to @ead) I added these lines:

Source https://stackoverflow.com/questions/69584633

QUESTION

Optimizing a regex in R for substring extraction

Asked 2021-Nov-17 at 18:57

I have a follow-up question on a previous answer that can be found here: Split uneven string in R - variable substring and delimiters

In summary, I wanted to extract the bolded text in a string that follows this pattern:

...

ANSWER

Answered 2021-Nov-17 at 17:40

This can be solved as follows:

Source https://stackoverflow.com/questions/70008287

QUESTION

Extremely long response time with graph_from_place OSMNX

Asked 2021-Oct-14 at 20:09

I'm trying to download the map of Mexico to avoid querying using save_graphml and avoiding long response times in the graph_from_place, but I've already left this code running for almost six hours and absolutely nothing happens.

...

ANSWER

Answered 2021-Oct-14 at 20:09

I've already left this code running for almost six hours and absolutely nothing happens.

A lot has been happening! Don't believe me? You ran ox.config(log_console=True), so look at your terminal and watch what's happening while it runs. You'll see a line like "2021-10-14 13:05:39 Requesting data within polygon from API in 1827 request(s)"... so you are making 1,827 requests to the Overpass server and the server is asking you to pause for rate limiting between many of those requests.

I know that due to the stipulated area the time is long, but what I wanted to know is if there is an alternative to this procedure or if there is a way to optimize so that the creation of the map is a little faster or if there is another way to load maps to route with osmnx and networkx without using queries to servers

Yes. This answer provides more details. There are tradeoffs between 1) model precision vs 2) area size vs 3) memory/speed. For faster modeling, you can load the network data from a .osm XML file instead of having to make numerous calls to the Overpass API. I'd also recommend using a custom_filter as described in the linked answer. OSMnx by default divides your query area into 50km x 50km pieces, then queries Overpass for each piece one a time to not exceed the server's per-query memory limits. You can configure this max_query_area_size parameter, as well as the server memory allocation, if you prefer to use OSMnx's API querying functions rather than its from-file functionality.

Source https://stackoverflow.com/questions/69571863

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

Vulnerabilities

No vulnerabilities reported

Install Ox

You can download it from GitHub.
You can use Ox 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 Ox 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 .

Find more information at: