expose.py | Photojournalism static site generator | Static Site Generator library

 by   mplewis Python Version: Current License: No License

kandi X-RAY | expose.py Summary

kandi X-RAY | expose.py Summary

expose.py is a Python library typically used in Web Site, Static Site Generator applications. expose.py has no bugs, it has no vulnerabilities and it has low support. However expose.py build file is not available. You can download it from GitHub.

A static site generator for photo diaries, inspired by Expose.
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            kandi-support Support

              expose.py has a low active ecosystem.
              It has 16 star(s) with 2 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 0 have been closed. On average issues are closed in 1781 days. There are 4 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of expose.py is current.

            kandi-Quality Quality

              expose.py has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              expose.py does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              expose.py releases are not available. You will need to build from source code and install.
              expose.py has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions, examples and code snippets are available.
              expose.py saves you 200 person hours of effort in developing the same functionality from scratch.
              It has 491 lines of code, 41 functions and 4 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed expose.py and discovered the below as its top functions. This is intended to give you an instant insight into expose.py implemented functionality, and help decide if they suit your requirements.
            • Return a list of vid_targets
            • Return the width and height of a file
            • Return True if src is the same
            • Generate a list of target files
            • Copy metadata
            • Dump an OrderedDict into a YAML stream
            • Generate metadata template
            • Create metadata template
            • Wrapper for convert_video
            • Make directories for dst
            • Write src to dst
            • Convert a video
            • Convert an image into a queue
            • Convert image to hash
            • Run Venue Jobs
            • Run a list of jobs
            • Run multiple images
            • Return a list of file_targets
            • Copy all static static static files for a given theme
            • Render HTML from a list of media items
            • Gather web media from rendered output
            Get all kandi verified functions for this library.

            expose.py Key Features

            No Key Features are available at this moment for expose.py.

            expose.py Examples and Code Snippets

            No Code Snippets are available at this moment for expose.py.

            Community Discussions

            Trending Discussions on expose.py

            QUESTION

            Optimize a nested for loop in Python
            Asked 2020-Feb-20 at 11:53

            I have data stored as key value pairs in a leveldb database. The values are the laser vector embedding of sentences and keys are intents of those sentences. When a new sentence is inputted, I compare the vector embedding of that sentence against the values in the leveldb database in order to identify the intent. Here, I have used a nested for loop and this takes more than 5 seconds to execute. Can someone suggest a way to optimize this loop/ code segment?

            expose.py

            ...

            ANSWER

            Answered 2020-Feb-20 at 11:53

            The only thing I can think of is using numpy for distance calculation (as you already import numpy anyway); I am not sure if this will give you much speedup though.

            Source https://stackoverflow.com/questions/60316406

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

            Vulnerabilities

            No vulnerabilities reported

            Install expose.py

            This script requires Python 3 and the following dependencies:.
            pyprind
            docopt
            jinja2
            symlink expose.py somewhere into your $PATH, or
            create an alias pointing to expose.py in your .bashrc/.zsrhc

            Support

            If you built a theme for expose.py, share it with me and I'll add it to this repository!. Bug reports, fixes, or features? Feel free to open an issue or pull request any time. You can also email me at matt@mplewis.com.
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            CLONE
          • HTTPS

            https://github.com/mplewis/expose.py.git

          • CLI

            gh repo clone mplewis/expose.py

          • sshUrl

            git@github.com:mplewis/expose.py.git

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