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About penter

Many years ago, we were working on a file system filter driver that would absolutely destroy the performance of a system under certain workloads. Operations that previously only took a few minutes would turn into hours. We were also pretty convinced that there were some workloads that would now literally take "forever", though we never had the patience to actually wait that long.

The project was incredibly complex and we were having difficulty narrowing down the exact reason for the degradation. CPU utilization was low. Disk utilization was low. We even started removing locks to see if being wrong could make us faster (it didn't).

After scratching our heads for a bit, we decided that it might be useful to see the aggregate elapsed times of all the functions in our filter suite. Given that we had such a disparity in elapsed time when our filter was involved, we assumed that we should be able to get better insight into what was going on if we could find "fat" functions.

Thus, the penter tracing library was born. If you compile your code using the VisualC compiler's /Gh and /GH switches, calls to the _penter and _pexit functions will be embedded at the start and end of each function in your module. By writing our own _penter and _pexit hooks, we kept track of the amount of time spent in each function of the driver. We then created a WinDbg debugger extension to extract the data into a CSV format that we could easily import into Excel.

We didn't build it to be pretty. We didn't build it to be fast. BUT, it did absolutely help us narrow down what the problems were (they were flushes!). We also had quite a difficult time getting the penter hooks to work on x64. So, we thought we'd share the code in case it's useful for someone else (either to track down a problem or as an example of a penter hook on x64).

Building penter Library and Debugger Extension

The provided solution builds the penterlib static library containing the _penter and _pexit hooks. The code supports Debug and Release builds on both the x86 and x64.

It also builds the penterkd.dll WinDbg debugger extension. This extension will be used to collect the trace data from the target system.

Adding penter Tracing to a Project

If you want to add penter support to a driver project add the /Gh and /GH compiler options. Once you do so you will receive errors about _penter and _pexit not being defined for your module. Adding the penterlib.lib file as a library dependency will then resolve the compilation errors.

The repo also provides a penter.props file that you can include in your vcxproj to automatically set the appropriate compile and link flags.

Extracting Trace Information

Once your driver is compiled with the necessary hooks, load the penterkd Debugger Extension on your host machine:

0: kd> !load E:\repos\Developer\SNoone\penter\x64\Debug\penterkd.dll

Now you can dump out the trace data to collect statistics on the module:

0: kd> !modulestats scanner
Function,CallCount,CallTicks,TicksPerCall
scanner!DriverEntry,1,4715,4715
scanner!ExInitializeDriverRuntime,1,37,37
scanner!ScannerInitializeScannedExtensions,1,333,333
scanner!KeGetCurrentIrql,4298,621,0
scanner!ScannerAllocateUnicodeString,6,113,18
scanner!ScannerInstanceSetup,9,173,19
scanner!ScannerPreCleanup,3389,2843,0
scanner!ScannerPreCreate,4281,98602,23
scanner!ScannerPostCreate,4281,4189123,978
scanner!ScannerPreFileSystemControl,969,1318,1
scanner!ScannerpCheckExtension,3422,6356,1
scanner!ScannerPreWrite,186,143,0
scanner!ScannerpScanFileInUserMode,203,3485008,17167
scanner!ScannerPortConnect,1,22,22

The data can now be easily imported into Excel. Generally the column of most interest is TicksPerCall, which is the total number of ticks used by the function divided by the number of calls to the function. The bigger the number the more time you're spending in that function.

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 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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About penter

Many years ago, we were working on a file system filter driver that would absolutely destroy the performance of a system under certain workloads. Operations that previously only took a few minutes would turn into hours. We were also pretty convinced that there were some workloads that would now literally take "forever", though we never had the patience to actually wait that long.

The project was incredibly complex and we were having difficulty narrowing down the exact reason for the degradation. CPU utilization was low. Disk utilization was low. We even started removing locks to see if being wrong could make us faster (it didn't).

After scratching our heads for a bit, we decided that it might be useful to see the aggregate elapsed times of all the functions in our filter suite. Given that we had such a disparity in elapsed time when our filter was involved, we assumed that we should be able to get better insight into what was going on if we could find "fat" functions.

Thus, the penter tracing library was born. If you compile your code using the VisualC compiler's /Gh and /GH switches, calls to the _penter and _pexit functions will be embedded at the start and end of each function in your module. By writing our own _penter and _pexit hooks, we kept track of the amount of time spent in each function of the driver. We then created a WinDbg debugger extension to extract the data into a CSV format that we could easily import into Excel.

We didn't build it to be pretty. We didn't build it to be fast. BUT, it did absolutely help us narrow down what the problems were (they were flushes!). We also had quite a difficult time getting the penter hooks to work on x64. So, we thought we'd share the code in case it's useful for someone else (either to track down a problem or as an example of a penter hook on x64).

Building penter Library and Debugger Extension

The provided solution builds the penterlib static library containing the _penter and _pexit hooks. The code supports Debug and Release builds on both the x86 and x64.

It also builds the penterkd.dll WinDbg debugger extension. This extension will be used to collect the trace data from the target system.

Adding penter Tracing to a Project

If you want to add penter support to a driver project add the /Gh and /GH compiler options. Once you do so you will receive errors about _penter and _pexit not being defined for your module. Adding the penterlib.lib file as a library dependency will then resolve the compilation errors.

The repo also provides a penter.props file that you can include in your vcxproj to automatically set the appropriate compile and link flags.

Extracting Trace Information

Once your driver is compiled with the necessary hooks, load the penterkd Debugger Extension on your host machine:

0: kd> !load E:\repos\Developer\SNoone\penter\x64\Debug\penterkd.dll

Now you can dump out the trace data to collect statistics on the module:

0: kd> !modulestats scanner
Function,CallCount,CallTicks,TicksPerCall
scanner!DriverEntry,1,4715,4715
scanner!ExInitializeDriverRuntime,1,37,37
scanner!ScannerInitializeScannedExtensions,1,333,333
scanner!KeGetCurrentIrql,4298,621,0
scanner!ScannerAllocateUnicodeString,6,113,18
scanner!ScannerInstanceSetup,9,173,19
scanner!ScannerPreCleanup,3389,2843,0
scanner!ScannerPreCreate,4281,98602,23
scanner!ScannerPostCreate,4281,4189123,978
scanner!ScannerPreFileSystemControl,969,1318,1
scanner!ScannerpCheckExtension,3422,6356,1
scanner!ScannerPreWrite,186,143,0
scanner!ScannerpScanFileInUserMode,203,3485008,17167
scanner!ScannerPortConnect,1,22,22

The data can now be easily imported into Excel. Generally the column of most interest is TicksPerCall, which is the total number of ticks used by the function divided by the number of calls to the function. The bigger the number the more time you're spending in that function.

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, '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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About penter

Many years ago, we were working on a file system filter driver that would absolutely destroy the performance of a system under certain workloads. Operations that previously only took a few minutes would turn into hours. We were also pretty convinced that there were some workloads that would now literally take "forever", though we never had the patience to actually wait that long.

The project was incredibly complex and we were having difficulty narrowing down the exact reason for the degradation. CPU utilization was low. Disk utilization was low. We even started removing locks to see if being wrong could make us faster (it didn't).

After scratching our heads for a bit, we decided that it might be useful to see the aggregate elapsed times of all the functions in our filter suite. Given that we had such a disparity in elapsed time when our filter was involved, we assumed that we should be able to get better insight into what was going on if we could find "fat" functions.

Thus, the penter tracing library was born. If you compile your code using the VisualC compiler's /Gh and /GH switches, calls to the _penter and _pexit functions will be embedded at the start and end of each function in your module. By writing our own _penter and _pexit hooks, we kept track of the amount of time spent in each function of the driver. We then created a WinDbg debugger extension to extract the data into a CSV format that we could easily import into Excel.

We didn't build it to be pretty. We didn't build it to be fast. BUT, it did absolutely help us narrow down what the problems were (they were flushes!). We also had quite a difficult time getting the penter hooks to work on x64. So, we thought we'd share the code in case it's useful for someone else (either to track down a problem or as an example of a penter hook on x64).

Building penter Library and Debugger Extension

The provided solution builds the penterlib static library containing the _penter and _pexit hooks. The code supports Debug and Release builds on both the x86 and x64.

It also builds the penterkd.dll WinDbg debugger extension. This extension will be used to collect the trace data from the target system.

Adding penter Tracing to a Project

If you want to add penter support to a driver project add the /Gh and /GH compiler options. Once you do so you will receive errors about _penter and _pexit not being defined for your module. Adding the penterlib.lib file as a library dependency will then resolve the compilation errors.

The repo also provides a penter.props file that you can include in your vcxproj to automatically set the appropriate compile and link flags.

Extracting Trace Information

Once your driver is compiled with the necessary hooks, load the penterkd Debugger Extension on your host machine:

0: kd> !load E:\repos\Developer\SNoone\penter\x64\Debug\penterkd.dll

Now you can dump out the trace data to collect statistics on the module:

0: kd> !modulestats scanner
Function,CallCount,CallTicks,TicksPerCall
scanner!DriverEntry,1,4715,4715
scanner!ExInitializeDriverRuntime,1,37,37
scanner!ScannerInitializeScannedExtensions,1,333,333
scanner!KeGetCurrentIrql,4298,621,0
scanner!ScannerAllocateUnicodeString,6,113,18
scanner!ScannerInstanceSetup,9,173,19
scanner!ScannerPreCleanup,3389,2843,0
scanner!ScannerPreCreate,4281,98602,23
scanner!ScannerPostCreate,4281,4189123,978
scanner!ScannerPreFileSystemControl,969,1318,1
scanner!ScannerpCheckExtension,3422,6356,1
scanner!ScannerPreWrite,186,143,0
scanner!ScannerpScanFileInUserMode,203,3485008,17167
scanner!ScannerPortConnect,1,22,22

The data can now be easily imported into Excel. Generally the column of most interest is TicksPerCall, which is the total number of ticks used by the function divided by the number of calls to the function. The bigger the number the more time you're spending in that function.

About

penter hook example and driver time recorder

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, '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 > 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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About penter

Many years ago, we were working on a file system filter driver that would absolutely destroy the performance of a system under certain workloads. Operations that previously only took a few minutes would turn into hours. We were also pretty convinced that there were some workloads that would now literally take "forever", though we never had the patience to actually wait that long.

The project was incredibly complex and we were having difficulty narrowing down the exact reason for the degradation. CPU utilization was low. Disk utilization was low. We even started removing locks to see if being wrong could make us faster (it didn't).

After scratching our heads for a bit, we decided that it might be useful to see the aggregate elapsed times of all the functions in our filter suite. Given that we had such a disparity in elapsed time when our filter was involved, we assumed that we should be able to get better insight into what was going on if we could find "fat" functions.

Thus, the penter tracing library was born. If you compile your code using the VisualC compiler's /Gh and /GH switches, calls to the _penter and _pexit functions will be embedded at the start and end of each function in your module. By writing our own _penter and _pexit hooks, we kept track of the amount of time spent in each function of the driver. We then created a WinDbg debugger extension to extract the data into a CSV format that we could easily import into Excel.

We didn't build it to be pretty. We didn't build it to be fast. BUT, it did absolutely help us narrow down what the problems were (they were flushes!). We also had quite a difficult time getting the penter hooks to work on x64. So, we thought we'd share the code in case it's useful for someone else (either to track down a problem or as an example of a penter hook on x64).

Building penter Library and Debugger Extension

The provided solution builds the penterlib static library containing the _penter and _pexit hooks. The code supports Debug and Release builds on both the x86 and x64.

It also builds the penterkd.dll WinDbg debugger extension. This extension will be used to collect the trace data from the target system.

Adding penter Tracing to a Project

If you want to add penter support to a driver project add the /Gh and /GH compiler options. Once you do so you will receive errors about _penter and _pexit not being defined for your module. Adding the penterlib.lib file as a library dependency will then resolve the compilation errors.

The repo also provides a penter.props file that you can include in your vcxproj to automatically set the appropriate compile and link flags.

Extracting Trace Information

Once your driver is compiled with the necessary hooks, load the penterkd Debugger Extension on your host machine:

0: kd> !load E:\repos\Developer\SNoone\penter\x64\Debug\penterkd.dll

Now you can dump out the trace data to collect statistics on the module:

0: kd> !modulestats scanner
Function,CallCount,CallTicks,TicksPerCall
scanner!DriverEntry,1,4715,4715
scanner!ExInitializeDriverRuntime,1,37,37
scanner!ScannerInitializeScannedExtensions,1,333,333
scanner!KeGetCurrentIrql,4298,621,0
scanner!ScannerAllocateUnicodeString,6,113,18
scanner!ScannerInstanceSetup,9,173,19
scanner!ScannerPreCleanup,3389,2843,0
scanner!ScannerPreCreate,4281,98602,23
scanner!ScannerPostCreate,4281,4189123,978
scanner!ScannerPreFileSystemControl,969,1318,1
scanner!ScannerpCheckExtension,3422,6356,1
scanner!ScannerPreWrite,186,143,0
scanner!ScannerpScanFileInUserMode,203,3485008,17167
scanner!ScannerPortConnect,1,22,22

The data can now be easily imported into Excel. Generally the column of most interest is TicksPerCall, which is the total number of ticks used by the function divided by the number of calls to the function. The bigger the number the more time you're spending in that function.

About

penter hook example and driver time recorder

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, '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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About penter

Many years ago, we were working on a file system filter driver that would absolutely destroy the performance of a system under certain workloads. Operations that previously only took a few minutes would turn into hours. We were also pretty convinced that there were some workloads that would now literally take "forever", though we never had the patience to actually wait that long.

The project was incredibly complex and we were having difficulty narrowing down the exact reason for the degradation. CPU utilization was low. Disk utilization was low. We even started removing locks to see if being wrong could make us faster (it didn't).

After scratching our heads for a bit, we decided that it might be useful to see the aggregate elapsed times of all the functions in our filter suite. Given that we had such a disparity in elapsed time when our filter was involved, we assumed that we should be able to get better insight into what was going on if we could find "fat" functions.

Thus, the penter tracing library was born. If you compile your code using the VisualC compiler's /Gh and /GH switches, calls to the _penter and _pexit functions will be embedded at the start and end of each function in your module. By writing our own _penter and _pexit hooks, we kept track of the amount of time spent in each function of the driver. We then created a WinDbg debugger extension to extract the data into a CSV format that we could easily import into Excel.

We didn't build it to be pretty. We didn't build it to be fast. BUT, it did absolutely help us narrow down what the problems were (they were flushes!). We also had quite a difficult time getting the penter hooks to work on x64. So, we thought we'd share the code in case it's useful for someone else (either to track down a problem or as an example of a penter hook on x64).

Building penter Library and Debugger Extension

The provided solution builds the penterlib static library containing the _penter and _pexit hooks. The code supports Debug and Release builds on both the x86 and x64.

It also builds the penterkd.dll WinDbg debugger extension. This extension will be used to collect the trace data from the target system.

Adding penter Tracing to a Project

If you want to add penter support to a driver project add the /Gh and /GH compiler options. Once you do so you will receive errors about _penter and _pexit not being defined for your module. Adding the penterlib.lib file as a library dependency will then resolve the compilation errors.

The repo also provides a penter.props file that you can include in your vcxproj to automatically set the appropriate compile and link flags.

Extracting Trace Information

Once your driver is compiled with the necessary hooks, load the penterkd Debugger Extension on your host machine:

0: kd> !load E:\repos\Developer\SNoone\penter\x64\Debug\penterkd.dll

Now you can dump out the trace data to collect statistics on the module:

0: kd> !modulestats scanner
Function,CallCount,CallTicks,TicksPerCall
scanner!DriverEntry,1,4715,4715
scanner!ExInitializeDriverRuntime,1,37,37
scanner!ScannerInitializeScannedExtensions,1,333,333
scanner!KeGetCurrentIrql,4298,621,0
scanner!ScannerAllocateUnicodeString,6,113,18
scanner!ScannerInstanceSetup,9,173,19
scanner!ScannerPreCleanup,3389,2843,0
scanner!ScannerPreCreate,4281,98602,23
scanner!ScannerPostCreate,4281,4189123,978
scanner!ScannerPreFileSystemControl,969,1318,1
scanner!ScannerpCheckExtension,3422,6356,1
scanner!ScannerPreWrite,186,143,0
scanner!ScannerpScanFileInUserMode,203,3485008,17167
scanner!ScannerPortConnect,1,22,22

The data can now be easily imported into Excel. Generally the column of most interest is TicksPerCall, which is the total number of ticks used by the function divided by the number of calls to the function. The bigger the number the more time you're spending in that function.

About

penter hook example and driver time recorder

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33 stars

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3 watching

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, '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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About penter

Many years ago, we were working on a file system filter driver that would absolutely destroy the performance of a system under certain workloads. Operations that previously only took a few minutes would turn into hours. We were also pretty convinced that there were some workloads that would now literally take "forever", though we never had the patience to actually wait that long.

The project was incredibly complex and we were having difficulty narrowing down the exact reason for the degradation. CPU utilization was low. Disk utilization was low. We even started removing locks to see if being wrong could make us faster (it didn't).

After scratching our heads for a bit, we decided that it might be useful to see the aggregate elapsed times of all the functions in our filter suite. Given that we had such a disparity in elapsed time when our filter was involved, we assumed that we should be able to get better insight into what was going on if we could find "fat" functions.

Thus, the penter tracing library was born. If you compile your code using the VisualC compiler's /Gh and /GH switches, calls to the _penter and _pexit functions will be embedded at the start and end of each function in your module. By writing our own _penter and _pexit hooks, we kept track of the amount of time spent in each function of the driver. We then created a WinDbg debugger extension to extract the data into a CSV format that we could easily import into Excel.

We didn't build it to be pretty. We didn't build it to be fast. BUT, it did absolutely help us narrow down what the problems were (they were flushes!). We also had quite a difficult time getting the penter hooks to work on x64. So, we thought we'd share the code in case it's useful for someone else (either to track down a problem or as an example of a penter hook on x64).

Building penter Library and Debugger Extension

The provided solution builds the penterlib static library containing the _penter and _pexit hooks. The code supports Debug and Release builds on both the x86 and x64.

It also builds the penterkd.dll WinDbg debugger extension. This extension will be used to collect the trace data from the target system.

Adding penter Tracing to a Project

If you want to add penter support to a driver project add the /Gh and /GH compiler options. Once you do so you will receive errors about _penter and _pexit not being defined for your module. Adding the penterlib.lib file as a library dependency will then resolve the compilation errors.

The repo also provides a penter.props file that you can include in your vcxproj to automatically set the appropriate compile and link flags.

Extracting Trace Information

Once your driver is compiled with the necessary hooks, load the penterkd Debugger Extension on your host machine:

0: kd> !load E:\repos\Developer\SNoone\penter\x64\Debug\penterkd.dll

Now you can dump out the trace data to collect statistics on the module:

0: kd> !modulestats scanner
Function,CallCount,CallTicks,TicksPerCall
scanner!DriverEntry,1,4715,4715
scanner!ExInitializeDriverRuntime,1,37,37
scanner!ScannerInitializeScannedExtensions,1,333,333
scanner!KeGetCurrentIrql,4298,621,0
scanner!ScannerAllocateUnicodeString,6,113,18
scanner!ScannerInstanceSetup,9,173,19
scanner!ScannerPreCleanup,3389,2843,0
scanner!ScannerPreCreate,4281,98602,23
scanner!ScannerPostCreate,4281,4189123,978
scanner!ScannerPreFileSystemControl,969,1318,1
scanner!ScannerpCheckExtension,3422,6356,1
scanner!ScannerPreWrite,186,143,0
scanner!ScannerpScanFileInUserMode,203,3485008,17167
scanner!ScannerPortConnect,1,22,22

The data can now be easily imported into Excel. Generally the column of most interest is TicksPerCall, which is the total number of ticks used by the function divided by the number of calls to the function. The bigger the number the more time you're spending in that function.

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, '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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About penter

Many years ago, we were working on a file system filter driver that would absolutely destroy the performance of a system under certain workloads. Operations that previously only took a few minutes would turn into hours. We were also pretty convinced that there were some workloads that would now literally take "forever", though we never had the patience to actually wait that long.

The project was incredibly complex and we were having difficulty narrowing down the exact reason for the degradation. CPU utilization was low. Disk utilization was low. We even started removing locks to see if being wrong could make us faster (it didn't).

After scratching our heads for a bit, we decided that it might be useful to see the aggregate elapsed times of all the functions in our filter suite. Given that we had such a disparity in elapsed time when our filter was involved, we assumed that we should be able to get better insight into what was going on if we could find "fat" functions.

Thus, the penter tracing library was born. If you compile your code using the VisualC compiler's /Gh and /GH switches, calls to the _penter and _pexit functions will be embedded at the start and end of each function in your module. By writing our own _penter and _pexit hooks, we kept track of the amount of time spent in each function of the driver. We then created a WinDbg debugger extension to extract the data into a CSV format that we could easily import into Excel.

We didn't build it to be pretty. We didn't build it to be fast. BUT, it did absolutely help us narrow down what the problems were (they were flushes!). We also had quite a difficult time getting the penter hooks to work on x64. So, we thought we'd share the code in case it's useful for someone else (either to track down a problem or as an example of a penter hook on x64).

Building penter Library and Debugger Extension

The provided solution builds the penterlib static library containing the _penter and _pexit hooks. The code supports Debug and Release builds on both the x86 and x64.

It also builds the penterkd.dll WinDbg debugger extension. This extension will be used to collect the trace data from the target system.

Adding penter Tracing to a Project

If you want to add penter support to a driver project add the /Gh and /GH compiler options. Once you do so you will receive errors about _penter and _pexit not being defined for your module. Adding the penterlib.lib file as a library dependency will then resolve the compilation errors.

The repo also provides a penter.props file that you can include in your vcxproj to automatically set the appropriate compile and link flags.

Extracting Trace Information

Once your driver is compiled with the necessary hooks, load the penterkd Debugger Extension on your host machine:

0: kd> !load E:\repos\Developer\SNoone\penter\x64\Debug\penterkd.dll

Now you can dump out the trace data to collect statistics on the module:

0: kd> !modulestats scanner
Function,CallCount,CallTicks,TicksPerCall
scanner!DriverEntry,1,4715,4715
scanner!ExInitializeDriverRuntime,1,37,37
scanner!ScannerInitializeScannedExtensions,1,333,333
scanner!KeGetCurrentIrql,4298,621,0
scanner!ScannerAllocateUnicodeString,6,113,18
scanner!ScannerInstanceSetup,9,173,19
scanner!ScannerPreCleanup,3389,2843,0
scanner!ScannerPreCreate,4281,98602,23
scanner!ScannerPostCreate,4281,4189123,978
scanner!ScannerPreFileSystemControl,969,1318,1
scanner!ScannerpCheckExtension,3422,6356,1
scanner!ScannerPreWrite,186,143,0
scanner!ScannerpScanFileInUserMode,203,3485008,17167
scanner!ScannerPortConnect,1,22,22

The data can now be easily imported into Excel. Generally the column of most interest is TicksPerCall, which is the total number of ticks used by the function divided by the number of calls to the function. The bigger the number the more time you're spending in that function.

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penter hook example and driver time recorder

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, '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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About penter

Many years ago, we were working on a file system filter driver that would absolutely destroy the performance of a system under certain workloads. Operations that previously only took a few minutes would turn into hours. We were also pretty convinced that there were some workloads that would now literally take "forever", though we never had the patience to actually wait that long.

The project was incredibly complex and we were having difficulty narrowing down the exact reason for the degradation. CPU utilization was low. Disk utilization was low. We even started removing locks to see if being wrong could make us faster (it didn't).

After scratching our heads for a bit, we decided that it might be useful to see the aggregate elapsed times of all the functions in our filter suite. Given that we had such a disparity in elapsed time when our filter was involved, we assumed that we should be able to get better insight into what was going on if we could find "fat" functions.

Thus, the penter tracing library was born. If you compile your code using the VisualC compiler's /Gh and /GH switches, calls to the _penter and _pexit functions will be embedded at the start and end of each function in your module. By writing our own _penter and _pexit hooks, we kept track of the amount of time spent in each function of the driver. We then created a WinDbg debugger extension to extract the data into a CSV format that we could easily import into Excel.

We didn't build it to be pretty. We didn't build it to be fast. BUT, it did absolutely help us narrow down what the problems were (they were flushes!). We also had quite a difficult time getting the penter hooks to work on x64. So, we thought we'd share the code in case it's useful for someone else (either to track down a problem or as an example of a penter hook on x64).

Building penter Library and Debugger Extension

The provided solution builds the penterlib static library containing the _penter and _pexit hooks. The code supports Debug and Release builds on both the x86 and x64.

It also builds the penterkd.dll WinDbg debugger extension. This extension will be used to collect the trace data from the target system.

Adding penter Tracing to a Project

If you want to add penter support to a driver project add the /Gh and /GH compiler options. Once you do so you will receive errors about _penter and _pexit not being defined for your module. Adding the penterlib.lib file as a library dependency will then resolve the compilation errors.

The repo also provides a penter.props file that you can include in your vcxproj to automatically set the appropriate compile and link flags.

Extracting Trace Information

Once your driver is compiled with the necessary hooks, load the penterkd Debugger Extension on your host machine:

0: kd> !load E:\repos\Developer\SNoone\penter\x64\Debug\penterkd.dll

Now you can dump out the trace data to collect statistics on the module:

0: kd> !modulestats scanner
Function,CallCount,CallTicks,TicksPerCall
scanner!DriverEntry,1,4715,4715
scanner!ExInitializeDriverRuntime,1,37,37
scanner!ScannerInitializeScannedExtensions,1,333,333
scanner!KeGetCurrentIrql,4298,621,0
scanner!ScannerAllocateUnicodeString,6,113,18
scanner!ScannerInstanceSetup,9,173,19
scanner!ScannerPreCleanup,3389,2843,0
scanner!ScannerPreCreate,4281,98602,23
scanner!ScannerPostCreate,4281,4189123,978
scanner!ScannerPreFileSystemControl,969,1318,1
scanner!ScannerpCheckExtension,3422,6356,1
scanner!ScannerPreWrite,186,143,0
scanner!ScannerpScanFileInUserMode,203,3485008,17167
scanner!ScannerPortConnect,1,22,22

The data can now be easily imported into Excel. Generally the column of most interest is TicksPerCall, which is the total number of ticks used by the function divided by the number of calls to the function. The bigger the number the more time you're spending in that function.

About

penter hook example and driver time recorder

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33 stars

Watchers

3 watching

Forks

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