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README.md

Protocol Buffers - Google's data interchange format

Build statusBuild statusBuild statusBuild statusBuild statusCompat check PyPI

Copyright 2008 Google Inc.

This directory contains the Python Protocol Buffers runtime library.

Normally, this directory comes as part of the protobuf package, available from:

https://developers.google.com/protocol-buffers/

The complete package includes the C++ source code, which includes the Protocol Compiler (protoc). If you downloaded this package from PyPI or some other Python-specific source, you may have received only the Python part of the code. In this case, you will need to obtain the Protocol Compiler from some other source before you can use this package.

Development Warning

The pure python performance is slow. For better performance please use python c++ implementation.

Installation

  1. Make sure you have Python 2.7 or newer. If in doubt, run:

    $ python -V

  2. If you do not have setuptools installed, note that it will be downloaded and installed automatically as soon as you run setup.py. If you would rather install it manually, you may do so by following the instructions on this page.

  3. Build the C++ code, or install a binary distribution of protoc. If you install a binary distribution, make sure that it is the same version as this package. If in doubt, run:

    $ protoc --version

  4. Build and run the tests:

    $ python setup.py build
$ python setup.py test

    To build, test, and use the C++ implementation, you must first compile libprotobuf.so:

    $ (cd .. && make)

    On OS X:

    If you are running a Homebrew-provided Python, you must make sure another version of protobuf is not already installed, as Homebrew's Python will search /usr/local/lib for libprotobuf.so before it searches ../src/.libs.

    You can either unlink Homebrew's protobuf or install the libprotobuf you built earlier:

    $ brew unlink protobuf

    or

    $ (cd .. && make install)

    On other *nix:

    You must make libprotobuf.so dynamically available. You can either install libprotobuf you built earlier, or set LD_LIBRARY_PATH:

    $ export LD_LIBRARY_PATH=../src/.libs

    or

    $ (cd .. && make install)

    To build the C++ implementation run:

    $ python setup.py build --cpp_implementation

    Then run the tests like so:

    $ python setup.py test --cpp_implementation

    If some tests fail, this library may not work correctly on your system. Continue at your own risk.

    Please note that there is a known problem with some versions of Python on Cygwin which causes the tests to fail after printing the error: sem_init: Resource temporarily unavailable. This appears to be a bug either in Cygwin or in Python.

    We do not know if or when it might be fixed. We also do not know how likely it is that this bug will affect users in practice.

  5. Install:

    $ python setup.py install

    or:

    $ (cd .. && make install)
$ python setup.py install --cpp_implementation

    This step may require superuser privileges. NOTE: To use C++ implementation, you need to export an environment variable before running your program. See the "C++ Implementation" section below for more details.

Usage

The complete documentation for Protocol Buffers is available via the web at:

https://developers.google.com/protocol-buffers/

C++ Implementation

The C++ implementation for Python messages is built as a Python extension to improve the overall protobuf Python performance.

To use the C++ implementation, you need to install the C++ protobuf runtime library, please see instructions in the parent directory.

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all \u003cpre\u003e\u003ccode\u003e blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks"); } } catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); } })(); (function(){ try { var __m = "github.com"; var __re = new RegExp('^' + "github\\.com" + '
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README.md

Protocol Buffers - Google's data interchange format

Build statusBuild statusBuild statusBuild statusBuild statusCompat check PyPI

Copyright 2008 Google Inc.

This directory contains the Python Protocol Buffers runtime library.

Normally, this directory comes as part of the protobuf package, available from:

https://developers.google.com/protocol-buffers/

The complete package includes the C++ source code, which includes the Protocol Compiler (protoc). If you downloaded this package from PyPI or some other Python-specific source, you may have received only the Python part of the code. In this case, you will need to obtain the Protocol Compiler from some other source before you can use this package.

Development Warning

The pure python performance is slow. For better performance please use python c++ implementation.

Installation

  1. Make sure you have Python 2.7 or newer. If in doubt, run:

    $ python -V

  2. If you do not have setuptools installed, note that it will be downloaded and installed automatically as soon as you run setup.py. If you would rather install it manually, you may do so by following the instructions on this page.

  3. Build the C++ code, or install a binary distribution of protoc. If you install a binary distribution, make sure that it is the same version as this package. If in doubt, run:

    $ protoc --version

  4. Build and run the tests:

    $ python setup.py build
$ python setup.py test

    To build, test, and use the C++ implementation, you must first compile libprotobuf.so:

    $ (cd .. && make)

    On OS X:

    If you are running a Homebrew-provided Python, you must make sure another version of protobuf is not already installed, as Homebrew's Python will search /usr/local/lib for libprotobuf.so before it searches ../src/.libs.

    You can either unlink Homebrew's protobuf or install the libprotobuf you built earlier:

    $ brew unlink protobuf

    or

    $ (cd .. && make install)

    On other *nix:

    You must make libprotobuf.so dynamically available. You can either install libprotobuf you built earlier, or set LD_LIBRARY_PATH:

    $ export LD_LIBRARY_PATH=../src/.libs

    or

    $ (cd .. && make install)

    To build the C++ implementation run:

    $ python setup.py build --cpp_implementation

    Then run the tests like so:

    $ python setup.py test --cpp_implementation

    If some tests fail, this library may not work correctly on your system. Continue at your own risk.

    Please note that there is a known problem with some versions of Python on Cygwin which causes the tests to fail after printing the error: sem_init: Resource temporarily unavailable. This appears to be a bug either in Cygwin or in Python.

    We do not know if or when it might be fixed. We also do not know how likely it is that this bug will affect users in practice.

  5. Install:

    $ python setup.py install

    or:

    $ (cd .. && make install)
$ python setup.py install --cpp_implementation

    This step may require superuser privileges. NOTE: To use C++ implementation, you need to export an environment variable before running your program. See the "C++ Implementation" section below for more details.

Usage

The complete documentation for Protocol Buffers is available via the web at:

https://developers.google.com/protocol-buffers/

C++ Implementation

The C++ implementation for Python messages is built as a Python extension to improve the overall protobuf Python performance.

To use the C++ implementation, you need to install the C++ protobuf runtime library, please see instructions in the parent directory.

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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README.md

Protocol Buffers - Google's data interchange format

Build statusBuild statusBuild statusBuild statusBuild statusCompat check PyPI

Copyright 2008 Google Inc.

This directory contains the Python Protocol Buffers runtime library.

Normally, this directory comes as part of the protobuf package, available from:

https://developers.google.com/protocol-buffers/

The complete package includes the C++ source code, which includes the Protocol Compiler (protoc). If you downloaded this package from PyPI or some other Python-specific source, you may have received only the Python part of the code. In this case, you will need to obtain the Protocol Compiler from some other source before you can use this package.

Development Warning

The pure python performance is slow. For better performance please use python c++ implementation.

Installation

  1. Make sure you have Python 2.7 or newer. If in doubt, run:

    $ python -V

  2. If you do not have setuptools installed, note that it will be downloaded and installed automatically as soon as you run setup.py. If you would rather install it manually, you may do so by following the instructions on this page.

  3. Build the C++ code, or install a binary distribution of protoc. If you install a binary distribution, make sure that it is the same version as this package. If in doubt, run:

    $ protoc --version

  4. Build and run the tests:

    $ python setup.py build
$ python setup.py test

    To build, test, and use the C++ implementation, you must first compile libprotobuf.so:

    $ (cd .. && make)

    On OS X:

    If you are running a Homebrew-provided Python, you must make sure another version of protobuf is not already installed, as Homebrew's Python will search /usr/local/lib for libprotobuf.so before it searches ../src/.libs.

    You can either unlink Homebrew's protobuf or install the libprotobuf you built earlier:

    $ brew unlink protobuf

    or

    $ (cd .. && make install)

    On other *nix:

    You must make libprotobuf.so dynamically available. You can either install libprotobuf you built earlier, or set LD_LIBRARY_PATH:

    $ export LD_LIBRARY_PATH=../src/.libs

    or

    $ (cd .. && make install)

    To build the C++ implementation run:

    $ python setup.py build --cpp_implementation

    Then run the tests like so:

    $ python setup.py test --cpp_implementation

    If some tests fail, this library may not work correctly on your system. Continue at your own risk.

    Please note that there is a known problem with some versions of Python on Cygwin which causes the tests to fail after printing the error: sem_init: Resource temporarily unavailable. This appears to be a bug either in Cygwin or in Python.

    We do not know if or when it might be fixed. We also do not know how likely it is that this bug will affect users in practice.

  5. Install:

    $ python setup.py install

    or:

    $ (cd .. && make install)
$ python setup.py install --cpp_implementation

    This step may require superuser privileges. NOTE: To use C++ implementation, you need to export an environment variable before running your program. See the "C++ Implementation" section below for more details.

Usage

The complete documentation for Protocol Buffers is available via the web at:

https://developers.google.com/protocol-buffers/

C++ Implementation

The C++ implementation for Python messages is built as a Python extension to improve the overall protobuf Python performance.

To use the C++ implementation, you need to install the C++ protobuf runtime library, please see instructions in the parent directory.

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length \u003e 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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README.md

Protocol Buffers - Google's data interchange format

Build statusBuild statusBuild statusBuild statusBuild statusCompat check PyPI

Copyright 2008 Google Inc.

This directory contains the Python Protocol Buffers runtime library.

Normally, this directory comes as part of the protobuf package, available from:

https://developers.google.com/protocol-buffers/

The complete package includes the C++ source code, which includes the Protocol Compiler (protoc). If you downloaded this package from PyPI or some other Python-specific source, you may have received only the Python part of the code. In this case, you will need to obtain the Protocol Compiler from some other source before you can use this package.

Development Warning

The pure python performance is slow. For better performance please use python c++ implementation.

Installation

  1. Make sure you have Python 2.7 or newer. If in doubt, run:

    $ python -V

  2. If you do not have setuptools installed, note that it will be downloaded and installed automatically as soon as you run setup.py. If you would rather install it manually, you may do so by following the instructions on this page.

  3. Build the C++ code, or install a binary distribution of protoc. If you install a binary distribution, make sure that it is the same version as this package. If in doubt, run:

    $ protoc --version

  4. Build and run the tests:

    $ python setup.py build
$ python setup.py test

    To build, test, and use the C++ implementation, you must first compile libprotobuf.so:

    $ (cd .. && make)

    On OS X:

    If you are running a Homebrew-provided Python, you must make sure another version of protobuf is not already installed, as Homebrew's Python will search /usr/local/lib for libprotobuf.so before it searches ../src/.libs.

    You can either unlink Homebrew's protobuf or install the libprotobuf you built earlier:

    $ brew unlink protobuf

    or

    $ (cd .. && make install)

    On other *nix:

    You must make libprotobuf.so dynamically available. You can either install libprotobuf you built earlier, or set LD_LIBRARY_PATH:

    $ export LD_LIBRARY_PATH=../src/.libs

    or

    $ (cd .. && make install)

    To build the C++ implementation run:

    $ python setup.py build --cpp_implementation

    Then run the tests like so:

    $ python setup.py test --cpp_implementation

    If some tests fail, this library may not work correctly on your system. Continue at your own risk.

    Please note that there is a known problem with some versions of Python on Cygwin which causes the tests to fail after printing the error: sem_init: Resource temporarily unavailable. This appears to be a bug either in Cygwin or in Python.

    We do not know if or when it might be fixed. We also do not know how likely it is that this bug will affect users in practice.

  5. Install:

    $ python setup.py install

    or:

    $ (cd .. && make install)
$ python setup.py install --cpp_implementation

    This step may require superuser privileges. NOTE: To use C++ implementation, you need to export an environment variable before running your program. See the "C++ Implementation" section below for more details.

Usage

The complete documentation for Protocol Buffers is available via the web at:

https://developers.google.com/protocol-buffers/

C++ Implementation

The C++ implementation for Python messages is built as a Python extension to improve the overall protobuf Python performance.

To use the C++ implementation, you need to install the C++ protobuf runtime library, please see instructions in the parent directory.

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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README.md

Protocol Buffers - Google's data interchange format

Build statusBuild statusBuild statusBuild statusBuild statusCompat check PyPI

Copyright 2008 Google Inc.

This directory contains the Python Protocol Buffers runtime library.

Normally, this directory comes as part of the protobuf package, available from:

https://developers.google.com/protocol-buffers/

The complete package includes the C++ source code, which includes the Protocol Compiler (protoc). If you downloaded this package from PyPI or some other Python-specific source, you may have received only the Python part of the code. In this case, you will need to obtain the Protocol Compiler from some other source before you can use this package.

Development Warning

The pure python performance is slow. For better performance please use python c++ implementation.

Installation

  1. Make sure you have Python 2.7 or newer. If in doubt, run:

    $ python -V

  2. If you do not have setuptools installed, note that it will be downloaded and installed automatically as soon as you run setup.py. If you would rather install it manually, you may do so by following the instructions on this page.

  3. Build the C++ code, or install a binary distribution of protoc. If you install a binary distribution, make sure that it is the same version as this package. If in doubt, run:

    $ protoc --version

  4. Build and run the tests:

    $ python setup.py build
$ python setup.py test

    To build, test, and use the C++ implementation, you must first compile libprotobuf.so:

    $ (cd .. && make)

    On OS X:

    If you are running a Homebrew-provided Python, you must make sure another version of protobuf is not already installed, as Homebrew's Python will search /usr/local/lib for libprotobuf.so before it searches ../src/.libs.

    You can either unlink Homebrew's protobuf or install the libprotobuf you built earlier:

    $ brew unlink protobuf

    or

    $ (cd .. && make install)

    On other *nix:

    You must make libprotobuf.so dynamically available. You can either install libprotobuf you built earlier, or set LD_LIBRARY_PATH:

    $ export LD_LIBRARY_PATH=../src/.libs

    or

    $ (cd .. && make install)

    To build the C++ implementation run:

    $ python setup.py build --cpp_implementation

    Then run the tests like so:

    $ python setup.py test --cpp_implementation

    If some tests fail, this library may not work correctly on your system. Continue at your own risk.

    Please note that there is a known problem with some versions of Python on Cygwin which causes the tests to fail after printing the error: sem_init: Resource temporarily unavailable. This appears to be a bug either in Cygwin or in Python.

    We do not know if or when it might be fixed. We also do not know how likely it is that this bug will affect users in practice.

  5. Install:

    $ python setup.py install

    or:

    $ (cd .. && make install)
$ python setup.py install --cpp_implementation

    This step may require superuser privileges. NOTE: To use C++ implementation, you need to export an environment variable before running your program. See the "C++ Implementation" section below for more details.

Usage

The complete documentation for Protocol Buffers is available via the web at:

https://developers.google.com/protocol-buffers/

C++ Implementation

The C++ implementation for Python messages is built as a Python extension to improve the overall protobuf Python performance.

To use the C++ implementation, you need to install the C++ protobuf runtime library, please see instructions in the parent directory.

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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README.md

Protocol Buffers - Google's data interchange format

Build statusBuild statusBuild statusBuild statusBuild statusCompat check PyPI

Copyright 2008 Google Inc.

This directory contains the Python Protocol Buffers runtime library.

Normally, this directory comes as part of the protobuf package, available from:

https://developers.google.com/protocol-buffers/

The complete package includes the C++ source code, which includes the Protocol Compiler (protoc). If you downloaded this package from PyPI or some other Python-specific source, you may have received only the Python part of the code. In this case, you will need to obtain the Protocol Compiler from some other source before you can use this package.

Development Warning

The pure python performance is slow. For better performance please use python c++ implementation.

Installation

  1. Make sure you have Python 2.7 or newer. If in doubt, run:

    $ python -V

  2. If you do not have setuptools installed, note that it will be downloaded and installed automatically as soon as you run setup.py. If you would rather install it manually, you may do so by following the instructions on this page.

  3. Build the C++ code, or install a binary distribution of protoc. If you install a binary distribution, make sure that it is the same version as this package. If in doubt, run:

    $ protoc --version

  4. Build and run the tests:

    $ python setup.py build
$ python setup.py test

    To build, test, and use the C++ implementation, you must first compile libprotobuf.so:

    $ (cd .. && make)

    On OS X:

    If you are running a Homebrew-provided Python, you must make sure another version of protobuf is not already installed, as Homebrew's Python will search /usr/local/lib for libprotobuf.so before it searches ../src/.libs.

    You can either unlink Homebrew's protobuf or install the libprotobuf you built earlier:

    $ brew unlink protobuf

    or

    $ (cd .. && make install)

    On other *nix:

    You must make libprotobuf.so dynamically available. You can either install libprotobuf you built earlier, or set LD_LIBRARY_PATH:

    $ export LD_LIBRARY_PATH=../src/.libs

    or

    $ (cd .. && make install)

    To build the C++ implementation run:

    $ python setup.py build --cpp_implementation

    Then run the tests like so:

    $ python setup.py test --cpp_implementation

    If some tests fail, this library may not work correctly on your system. Continue at your own risk.

    Please note that there is a known problem with some versions of Python on Cygwin which causes the tests to fail after printing the error: sem_init: Resource temporarily unavailable. This appears to be a bug either in Cygwin or in Python.

    We do not know if or when it might be fixed. We also do not know how likely it is that this bug will affect users in practice.

  5. Install:

    $ python setup.py install

    or:

    $ (cd .. && make install)
$ python setup.py install --cpp_implementation

    This step may require superuser privileges. NOTE: To use C++ implementation, you need to export an environment variable before running your program. See the "C++ Implementation" section below for more details.

Usage

The complete documentation for Protocol Buffers is available via the web at:

https://developers.google.com/protocol-buffers/

C++ Implementation

The C++ implementation for Python messages is built as a Python extension to improve the overall protobuf Python performance.

To use the C++ implementation, you need to install the C++ protobuf runtime library, please see instructions in the parent directory.

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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README.md

Protocol Buffers - Google's data interchange format

Build statusBuild statusBuild statusBuild statusBuild statusCompat check PyPI

Copyright 2008 Google Inc.

This directory contains the Python Protocol Buffers runtime library.

Normally, this directory comes as part of the protobuf package, available from:

https://developers.google.com/protocol-buffers/

The complete package includes the C++ source code, which includes the Protocol Compiler (protoc). If you downloaded this package from PyPI or some other Python-specific source, you may have received only the Python part of the code. In this case, you will need to obtain the Protocol Compiler from some other source before you can use this package.

Development Warning

The pure python performance is slow. For better performance please use python c++ implementation.

Installation

  1. Make sure you have Python 2.7 or newer. If in doubt, run:

    $ python -V

  2. If you do not have setuptools installed, note that it will be downloaded and installed automatically as soon as you run setup.py. If you would rather install it manually, you may do so by following the instructions on this page.

  3. Build the C++ code, or install a binary distribution of protoc. If you install a binary distribution, make sure that it is the same version as this package. If in doubt, run:

    $ protoc --version

  4. Build and run the tests:

    $ python setup.py build
$ python setup.py test

    To build, test, and use the C++ implementation, you must first compile libprotobuf.so:

    $ (cd .. && make)

    On OS X:

    If you are running a Homebrew-provided Python, you must make sure another version of protobuf is not already installed, as Homebrew's Python will search /usr/local/lib for libprotobuf.so before it searches ../src/.libs.

    You can either unlink Homebrew's protobuf or install the libprotobuf you built earlier:

    $ brew unlink protobuf

    or

    $ (cd .. && make install)

    On other *nix:

    You must make libprotobuf.so dynamically available. You can either install libprotobuf you built earlier, or set LD_LIBRARY_PATH:

    $ export LD_LIBRARY_PATH=../src/.libs

    or

    $ (cd .. && make install)

    To build the C++ implementation run:

    $ python setup.py build --cpp_implementation

    Then run the tests like so:

    $ python setup.py test --cpp_implementation

    If some tests fail, this library may not work correctly on your system. Continue at your own risk.

    Please note that there is a known problem with some versions of Python on Cygwin which causes the tests to fail after printing the error: sem_init: Resource temporarily unavailable. This appears to be a bug either in Cygwin or in Python.

    We do not know if or when it might be fixed. We also do not know how likely it is that this bug will affect users in practice.

  5. Install:

    $ python setup.py install

    or:

    $ (cd .. && make install)
$ python setup.py install --cpp_implementation

    This step may require superuser privileges. NOTE: To use C++ implementation, you need to export an environment variable before running your program. See the "C++ Implementation" section below for more details.

Usage

The complete documentation for Protocol Buffers is available via the web at:

https://developers.google.com/protocol-buffers/

C++ Implementation

The C++ implementation for Python messages is built as a Python extension to improve the overall protobuf Python performance.

To use the C++ implementation, you need to install the C++ protobuf runtime library, please see instructions in the parent directory.

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
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README.md

Protocol Buffers - Google's data interchange format

Build statusBuild statusBuild statusBuild statusBuild statusCompat check PyPI

Copyright 2008 Google Inc.

This directory contains the Python Protocol Buffers runtime library.

Normally, this directory comes as part of the protobuf package, available from:

https://developers.google.com/protocol-buffers/

The complete package includes the C++ source code, which includes the Protocol Compiler (protoc). If you downloaded this package from PyPI or some other Python-specific source, you may have received only the Python part of the code. In this case, you will need to obtain the Protocol Compiler from some other source before you can use this package.

Development Warning

The pure python performance is slow. For better performance please use python c++ implementation.

Installation

  1. Make sure you have Python 2.7 or newer. If in doubt, run:

    $ python -V

  2. If you do not have setuptools installed, note that it will be downloaded and installed automatically as soon as you run setup.py. If you would rather install it manually, you may do so by following the instructions on this page.

  3. Build the C++ code, or install a binary distribution of protoc. If you install a binary distribution, make sure that it is the same version as this package. If in doubt, run:

    $ protoc --version

  4. Build and run the tests:

    $ python setup.py build
$ python setup.py test

    To build, test, and use the C++ implementation, you must first compile libprotobuf.so:

    $ (cd .. && make)

    On OS X:

    If you are running a Homebrew-provided Python, you must make sure another version of protobuf is not already installed, as Homebrew's Python will search /usr/local/lib for libprotobuf.so before it searches ../src/.libs.

    You can either unlink Homebrew's protobuf or install the libprotobuf you built earlier:

    $ brew unlink protobuf

    or

    $ (cd .. && make install)

    On other *nix:

    You must make libprotobuf.so dynamically available. You can either install libprotobuf you built earlier, or set LD_LIBRARY_PATH:

    $ export LD_LIBRARY_PATH=../src/.libs

    or

    $ (cd .. && make install)

    To build the C++ implementation run:

    $ python setup.py build --cpp_implementation

    Then run the tests like so:

    $ python setup.py test --cpp_implementation

    If some tests fail, this library may not work correctly on your system. Continue at your own risk.

    Please note that there is a known problem with some versions of Python on Cygwin which causes the tests to fail after printing the error: sem_init: Resource temporarily unavailable. This appears to be a bug either in Cygwin or in Python.

    We do not know if or when it might be fixed. We also do not know how likely it is that this bug will affect users in practice.

  5. Install:

    $ python setup.py install

    or:

    $ (cd .. && make install)
$ python setup.py install --cpp_implementation

    This step may require superuser privileges. NOTE: To use C++ implementation, you need to export an environment variable before running your program. See the "C++ Implementation" section below for more details.

Usage

The complete documentation for Protocol Buffers is available via the web at:

https://developers.google.com/protocol-buffers/

C++ Implementation

The C++ implementation for Python messages is built as a Python extension to improve the overall protobuf Python performance.

To use the C++ implementation, you need to install the C++ protobuf runtime library, please see instructions in the parent directory.