lmfdb | L-Functions and Modular Forms Database | Serverless library

 by   LMFDB Python Version: Current License: Non-SPDX

kandi X-RAY | lmfdb Summary

kandi X-RAY | lmfdb Summary

lmfdb is a Python library typically used in Serverless applications. lmfdb has no bugs, it has no vulnerabilities, it has build file available and it has low support. However lmfdb has a Non-SPDX License. You can download it from GitHub.

L-Functions and Modular Forms Database
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              lmfdb has a low active ecosystem.
              It has 216 star(s) with 187 fork(s). There are 31 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 241 open issues and 1405 have been closed. On average issues are closed in 65 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of lmfdb is current.

            kandi-Quality Quality

              lmfdb has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              lmfdb has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              lmfdb releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed lmfdb and discovered the below as its top functions. This is intended to give you an instant insight into lmfdb implemented functionality, and help decide if they suit your requirements.
            • Creates an ECNF instance for a field .
            • Creates the object for the given curve .
            • Render a web number field .
            • Make the curve .
            • Creates a new table .
            • Create a LFunction instance from a dictionary .
            • Perform a search .
            • Import data from a file .
            • Find HMF curves .
            • create lcalc file for lcalc
            Get all kandi verified functions for this library.

            lmfdb Key Features

            No Key Features are available at this moment for lmfdb.

            lmfdb Examples and Code Snippets

            No Code Snippets are available at this moment for lmfdb.

            Community Discussions

            QUESTION

            Integral basis nf.zk versus nfbasis in Pari GP
            Asked 2022-Mar-06 at 23:12

            I have been using the database of lmfdb.org to know the integral basis of a number field. Now, I want to utilize Pari GP in multiplying algebraic integers. However, I have encountered a problem. Pari GP uses the integral basis "nf.zk" in its computations, which apparently is not always the same as the "nfbasis(f)", which is the integral basis that lmfdb.org provides.

            For example, we have the following code from Pari GP.

            ...

            ANSWER

            Answered 2022-Mar-06 at 23:12
            1. When we take the trouble to initialize an nf structure with nfinit, we perform precomputations to speed up later work. Here, nfinit first computes the integer basis by calling nfbasis, which returns the (canonical) HNF basis, then LLL-reduces it with respect to the T2 norm. The LLL-reduced basis is usually different from the HNF one, but it usually have smaller elements.

            2. This LLL reduction can be expensive (in particular when the degree is large) but it ensures that time complexities are bounded in terms of the field discriminant instead of the size of the input polynomial. I believe all polynomials defining number fields in the lmfdb were run through polredabs which ensures their coefficients are small (in terms of the field discriminant), but the HNF integer basis may still be much larger than the LLL one. Additionally, if an algebraic integer has small T2 norm, its expression in terms of the LLL-reduced basis is guaranteed to have small coefficients, whereas it can have much larger coefficients on the HNF basis.

            3. In pari-2.14 (which is not released yet but available via git or through nightly snapshots on the PARI/GP website), you can use nfinit(, 4), which removes the LLL reduction step. This speeds up the initialization, but usually slows down every operation involving the resulting nf.

            Source https://stackoverflow.com/questions/71152907

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

            Vulnerabilities

            No vulnerabilities reported

            Install lmfdb

            You can download it from GitHub.
            You can use lmfdb like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            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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            CLONE
          • HTTPS

            https://github.com/LMFDB/lmfdb.git

          • CLI

            gh repo clone LMFDB/lmfdb

          • sshUrl

            git@github.com:LMFDB/lmfdb.git

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