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lmc2py

A Python package that runs "Little Minion Computer" .lmc and assembly (.txt/.asm) files. The LMC is a conceptual model of a simple CPU, created by Durham professor Dr. Magnus Bordewich.

Features

  • Interprets LMC assembly and .lmc machine code
  • Test programs against multiple or all inputs (0–999)
  • Batch testing with LMC-style test files
  • Check outputs with custom checker functions
  • Optional graph of inputs vs cycles (requires lmc2py[plot])

Installation

From the project directory:

uv sync
# or: pip install -e .

For graph support (--graph):

uv sync --extra plot
# or: pip install -e ".[plot]"

Usage

CLI

Run LMC programs from the command line:

# After installing, the `lmc` command is available
lmc path/to/file.lmc
lmc path/to/file.lmc -i 997
lmc path/to/file.lmc --all -q -f

Or run as a module:

python -m lmc path/to/file.lmc --options

Import

Use the interpreter from Python:

fromlmcimportLMC, LMCWrapper, get_mailboxes_from_file# Load and run with the wrapper (batch, checker, feedback, etc.)wrapper=LMCWrapper("program.lmc", potential_values=[1, 2, 3], quiet=True)
wrapper.run_batch()
# Or use the core LMC and parser directlymailboxes, _=get_mailboxes_from_file("program.lmc")
vm=LMC([42], mailboxes)
inputs, outputs, cycles=vm.run_cycles()

The default behaviour is to execute the given file once. Assembly (.txt/.asm) is compiled to mailbox code first. The program reports fetch/execute cycles.

Optional flags (short and long form):

  • -h, --help: displays this list of options, instead of doing anything else. A source file is not needed in this case.
  • -a, --all: executes the program once for each value between 0 and 999.
  • -i [VAL], --input [VAL]: executes the program once for each VAL given. Multiple inputs can be given as a list, like -i 840 961 997.
  • -b [FILE], --batch [FILE]: Runs from any test file that is compatible with the original LMC and gives expected outputs based on those specified in this file.
  • -q, --quiet: executes the program without any terminal output, except errors. If you use this flag without any output flags, the program may not return anything.
  • -f [FILE], --feedback [FILE]: save the results of the program to a text file. If no FILE is specified, this will be a file in the source file's directory called feedback_<filename>.
  • -ch CHECKER, --checker CHECKER: run a checker function from a python file with the same inputs as the LMC code, to show the expected output and see if your program's output matches. Some example checker functions are included in checks/.
  • -g, --graph: show a scatter graph relating input to the number of cycles. Helps with visualizing program efficiency.

Something to consider

If your program requires multiple inputs, and it is passed a series of inputs using either --all or --input, it will use the next value from that series each time. If it runs out of inputs and then hits another IN statement, it will prompt you for another in the terminal.

Furthermore, if you attempt to use both the --batch and --checker arguments at the same time, the expected outputs in the batch file will be used and the checker function will be ignored.

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Runs an LMC file in python

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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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lmc2py

A Python package that runs "Little Minion Computer" .lmc and assembly (.txt/.asm) files. The LMC is a conceptual model of a simple CPU, created by Durham professor Dr. Magnus Bordewich.

Features

  • Interprets LMC assembly and .lmc machine code
  • Test programs against multiple or all inputs (0–999)
  • Batch testing with LMC-style test files
  • Check outputs with custom checker functions
  • Optional graph of inputs vs cycles (requires lmc2py[plot])

Installation

From the project directory:

uv sync
# or: pip install -e .

For graph support (--graph):

uv sync --extra plot
# or: pip install -e ".[plot]"

Usage

CLI

Run LMC programs from the command line:

# After installing, the `lmc` command is available
lmc path/to/file.lmc
lmc path/to/file.lmc -i 997
lmc path/to/file.lmc --all -q -f

Or run as a module:

python -m lmc path/to/file.lmc --options

Import

Use the interpreter from Python:

fromlmcimportLMC, LMCWrapper, get_mailboxes_from_file# Load and run with the wrapper (batch, checker, feedback, etc.)wrapper=LMCWrapper("program.lmc", potential_values=[1, 2, 3], quiet=True)
wrapper.run_batch()
# Or use the core LMC and parser directlymailboxes, _=get_mailboxes_from_file("program.lmc")
vm=LMC([42], mailboxes)
inputs, outputs, cycles=vm.run_cycles()

The default behaviour is to execute the given file once. Assembly (.txt/.asm) is compiled to mailbox code first. The program reports fetch/execute cycles.

Optional flags (short and long form):

  • -h, --help: displays this list of options, instead of doing anything else. A source file is not needed in this case.
  • -a, --all: executes the program once for each value between 0 and 999.
  • -i [VAL], --input [VAL]: executes the program once for each VAL given. Multiple inputs can be given as a list, like -i 840 961 997.
  • -b [FILE], --batch [FILE]: Runs from any test file that is compatible with the original LMC and gives expected outputs based on those specified in this file.
  • -q, --quiet: executes the program without any terminal output, except errors. If you use this flag without any output flags, the program may not return anything.
  • -f [FILE], --feedback [FILE]: save the results of the program to a text file. If no FILE is specified, this will be a file in the source file's directory called feedback_<filename>.
  • -ch CHECKER, --checker CHECKER: run a checker function from a python file with the same inputs as the LMC code, to show the expected output and see if your program's output matches. Some example checker functions are included in checks/.
  • -g, --graph: show a scatter graph relating input to the number of cycles. Helps with visualizing program efficiency.

Something to consider

If your program requires multiple inputs, and it is passed a series of inputs using either --all or --input, it will use the next value from that series each time. If it runs out of inputs and then hits another IN statement, it will prompt you for another in the terminal.

Furthermore, if you attempt to use both the --batch and --checker arguments at the same time, the expected outputs in the batch file will be used and the checker function will be ignored.

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Runs an LMC file in python

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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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lmc2py

A Python package that runs "Little Minion Computer" .lmc and assembly (.txt/.asm) files. The LMC is a conceptual model of a simple CPU, created by Durham professor Dr. Magnus Bordewich.

Features

  • Interprets LMC assembly and .lmc machine code
  • Test programs against multiple or all inputs (0–999)
  • Batch testing with LMC-style test files
  • Check outputs with custom checker functions
  • Optional graph of inputs vs cycles (requires lmc2py[plot])

Installation

From the project directory:

uv sync
# or: pip install -e .

For graph support (--graph):

uv sync --extra plot
# or: pip install -e ".[plot]"

Usage

CLI

Run LMC programs from the command line:

# After installing, the `lmc` command is available
lmc path/to/file.lmc
lmc path/to/file.lmc -i 997
lmc path/to/file.lmc --all -q -f

Or run as a module:

python -m lmc path/to/file.lmc --options

Import

Use the interpreter from Python:

fromlmcimportLMC, LMCWrapper, get_mailboxes_from_file# Load and run with the wrapper (batch, checker, feedback, etc.)wrapper=LMCWrapper("program.lmc", potential_values=[1, 2, 3], quiet=True)
wrapper.run_batch()
# Or use the core LMC and parser directlymailboxes, _=get_mailboxes_from_file("program.lmc")
vm=LMC([42], mailboxes)
inputs, outputs, cycles=vm.run_cycles()

The default behaviour is to execute the given file once. Assembly (.txt/.asm) is compiled to mailbox code first. The program reports fetch/execute cycles.

Optional flags (short and long form):

  • -h, --help: displays this list of options, instead of doing anything else. A source file is not needed in this case.
  • -a, --all: executes the program once for each value between 0 and 999.
  • -i [VAL], --input [VAL]: executes the program once for each VAL given. Multiple inputs can be given as a list, like -i 840 961 997.
  • -b [FILE], --batch [FILE]: Runs from any test file that is compatible with the original LMC and gives expected outputs based on those specified in this file.
  • -q, --quiet: executes the program without any terminal output, except errors. If you use this flag without any output flags, the program may not return anything.
  • -f [FILE], --feedback [FILE]: save the results of the program to a text file. If no FILE is specified, this will be a file in the source file's directory called feedback_<filename>.
  • -ch CHECKER, --checker CHECKER: run a checker function from a python file with the same inputs as the LMC code, to show the expected output and see if your program's output matches. Some example checker functions are included in checks/.
  • -g, --graph: show a scatter graph relating input to the number of cycles. Helps with visualizing program efficiency.

Something to consider

If your program requires multiple inputs, and it is passed a series of inputs using either --all or --input, it will use the next value from that series each time. If it runs out of inputs and then hits another IN statement, it will prompt you for another in the terminal.

Furthermore, if you attempt to use both the --batch and --checker arguments at the same time, the expected outputs in the batch file will be used and the checker function will be ignored.

About

Runs an LMC file in python

Resources

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0 stars

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Languages

, '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('^' + ".*" + '
Skip to content

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lmc2py

A Python package that runs "Little Minion Computer" .lmc and assembly (.txt/.asm) files. The LMC is a conceptual model of a simple CPU, created by Durham professor Dr. Magnus Bordewich.

Features

  • Interprets LMC assembly and .lmc machine code
  • Test programs against multiple or all inputs (0–999)
  • Batch testing with LMC-style test files
  • Check outputs with custom checker functions
  • Optional graph of inputs vs cycles (requires lmc2py[plot])

Installation

From the project directory:

uv sync
# or: pip install -e .

For graph support (--graph):

uv sync --extra plot
# or: pip install -e ".[plot]"

Usage

CLI

Run LMC programs from the command line:

# After installing, the `lmc` command is available
lmc path/to/file.lmc
lmc path/to/file.lmc -i 997
lmc path/to/file.lmc --all -q -f

Or run as a module:

python -m lmc path/to/file.lmc --options

Import

Use the interpreter from Python:

fromlmcimportLMC, LMCWrapper, get_mailboxes_from_file# Load and run with the wrapper (batch, checker, feedback, etc.)wrapper=LMCWrapper("program.lmc", potential_values=[1, 2, 3], quiet=True)
wrapper.run_batch()
# Or use the core LMC and parser directlymailboxes, _=get_mailboxes_from_file("program.lmc")
vm=LMC([42], mailboxes)
inputs, outputs, cycles=vm.run_cycles()

The default behaviour is to execute the given file once. Assembly (.txt/.asm) is compiled to mailbox code first. The program reports fetch/execute cycles.

Optional flags (short and long form):

  • -h, --help: displays this list of options, instead of doing anything else. A source file is not needed in this case.
  • -a, --all: executes the program once for each value between 0 and 999.
  • -i [VAL], --input [VAL]: executes the program once for each VAL given. Multiple inputs can be given as a list, like -i 840 961 997.
  • -b [FILE], --batch [FILE]: Runs from any test file that is compatible with the original LMC and gives expected outputs based on those specified in this file.
  • -q, --quiet: executes the program without any terminal output, except errors. If you use this flag without any output flags, the program may not return anything.
  • -f [FILE], --feedback [FILE]: save the results of the program to a text file. If no FILE is specified, this will be a file in the source file's directory called feedback_<filename>.
  • -ch CHECKER, --checker CHECKER: run a checker function from a python file with the same inputs as the LMC code, to show the expected output and see if your program's output matches. Some example checker functions are included in checks/.
  • -g, --graph: show a scatter graph relating input to the number of cycles. Helps with visualizing program efficiency.

Something to consider

If your program requires multiple inputs, and it is passed a series of inputs using either --all or --input, it will use the next value from that series each time. If it runs out of inputs and then hits another IN statement, it will prompt you for another in the terminal.

Furthermore, if you attempt to use both the --batch and --checker arguments at the same time, the expected outputs in the batch file will be used and the checker function will be ignored.

About

Runs an LMC file in python

Resources

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0 stars

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Packages

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Languages

, '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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lmc2py

A Python package that runs "Little Minion Computer" .lmc and assembly (.txt/.asm) files. The LMC is a conceptual model of a simple CPU, created by Durham professor Dr. Magnus Bordewich.

Features

  • Interprets LMC assembly and .lmc machine code
  • Test programs against multiple or all inputs (0–999)
  • Batch testing with LMC-style test files
  • Check outputs with custom checker functions
  • Optional graph of inputs vs cycles (requires lmc2py[plot])

Installation

From the project directory:

uv sync
# or: pip install -e .

For graph support (--graph):

uv sync --extra plot
# or: pip install -e ".[plot]"

Usage

CLI

Run LMC programs from the command line:

# After installing, the `lmc` command is available
lmc path/to/file.lmc
lmc path/to/file.lmc -i 997
lmc path/to/file.lmc --all -q -f

Or run as a module:

python -m lmc path/to/file.lmc --options

Import

Use the interpreter from Python:

fromlmcimportLMC, LMCWrapper, get_mailboxes_from_file# Load and run with the wrapper (batch, checker, feedback, etc.)wrapper=LMCWrapper("program.lmc", potential_values=[1, 2, 3], quiet=True)
wrapper.run_batch()
# Or use the core LMC and parser directlymailboxes, _=get_mailboxes_from_file("program.lmc")
vm=LMC([42], mailboxes)
inputs, outputs, cycles=vm.run_cycles()

The default behaviour is to execute the given file once. Assembly (.txt/.asm) is compiled to mailbox code first. The program reports fetch/execute cycles.

Optional flags (short and long form):

  • -h, --help: displays this list of options, instead of doing anything else. A source file is not needed in this case.
  • -a, --all: executes the program once for each value between 0 and 999.
  • -i [VAL], --input [VAL]: executes the program once for each VAL given. Multiple inputs can be given as a list, like -i 840 961 997.
  • -b [FILE], --batch [FILE]: Runs from any test file that is compatible with the original LMC and gives expected outputs based on those specified in this file.
  • -q, --quiet: executes the program without any terminal output, except errors. If you use this flag without any output flags, the program may not return anything.
  • -f [FILE], --feedback [FILE]: save the results of the program to a text file. If no FILE is specified, this will be a file in the source file's directory called feedback_<filename>.
  • -ch CHECKER, --checker CHECKER: run a checker function from a python file with the same inputs as the LMC code, to show the expected output and see if your program's output matches. Some example checker functions are included in checks/.
  • -g, --graph: show a scatter graph relating input to the number of cycles. Helps with visualizing program efficiency.

Something to consider

If your program requires multiple inputs, and it is passed a series of inputs using either --all or --input, it will use the next value from that series each time. If it runs out of inputs and then hits another IN statement, it will prompt you for another in the terminal.

Furthermore, if you attempt to use both the --batch and --checker arguments at the same time, the expected outputs in the batch file will be used and the checker function will be ignored.

About

Runs an LMC file in python

Resources

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0 stars

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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('^' + ".*" + '
Skip to content

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lmc2py

A Python package that runs "Little Minion Computer" .lmc and assembly (.txt/.asm) files. The LMC is a conceptual model of a simple CPU, created by Durham professor Dr. Magnus Bordewich.

Features

  • Interprets LMC assembly and .lmc machine code
  • Test programs against multiple or all inputs (0–999)
  • Batch testing with LMC-style test files
  • Check outputs with custom checker functions
  • Optional graph of inputs vs cycles (requires lmc2py[plot])

Installation

From the project directory:

uv sync
# or: pip install -e .

For graph support (--graph):

uv sync --extra plot
# or: pip install -e ".[plot]"

Usage

CLI

Run LMC programs from the command line:

# After installing, the `lmc` command is available
lmc path/to/file.lmc
lmc path/to/file.lmc -i 997
lmc path/to/file.lmc --all -q -f

Or run as a module:

python -m lmc path/to/file.lmc --options

Import

Use the interpreter from Python:

fromlmcimportLMC, LMCWrapper, get_mailboxes_from_file# Load and run with the wrapper (batch, checker, feedback, etc.)wrapper=LMCWrapper("program.lmc", potential_values=[1, 2, 3], quiet=True)
wrapper.run_batch()
# Or use the core LMC and parser directlymailboxes, _=get_mailboxes_from_file("program.lmc")
vm=LMC([42], mailboxes)
inputs, outputs, cycles=vm.run_cycles()

The default behaviour is to execute the given file once. Assembly (.txt/.asm) is compiled to mailbox code first. The program reports fetch/execute cycles.

Optional flags (short and long form):

  • -h, --help: displays this list of options, instead of doing anything else. A source file is not needed in this case.
  • -a, --all: executes the program once for each value between 0 and 999.
  • -i [VAL], --input [VAL]: executes the program once for each VAL given. Multiple inputs can be given as a list, like -i 840 961 997.
  • -b [FILE], --batch [FILE]: Runs from any test file that is compatible with the original LMC and gives expected outputs based on those specified in this file.
  • -q, --quiet: executes the program without any terminal output, except errors. If you use this flag without any output flags, the program may not return anything.
  • -f [FILE], --feedback [FILE]: save the results of the program to a text file. If no FILE is specified, this will be a file in the source file's directory called feedback_<filename>.
  • -ch CHECKER, --checker CHECKER: run a checker function from a python file with the same inputs as the LMC code, to show the expected output and see if your program's output matches. Some example checker functions are included in checks/.
  • -g, --graph: show a scatter graph relating input to the number of cycles. Helps with visualizing program efficiency.

Something to consider

If your program requires multiple inputs, and it is passed a series of inputs using either --all or --input, it will use the next value from that series each time. If it runs out of inputs and then hits another IN statement, it will prompt you for another in the terminal.

Furthermore, if you attempt to use both the --batch and --checker arguments at the same time, the expected outputs in the batch file will be used and the checker function will be ignored.

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Runs an LMC file in python

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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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lmc2py

A Python package that runs "Little Minion Computer" .lmc and assembly (.txt/.asm) files. The LMC is a conceptual model of a simple CPU, created by Durham professor Dr. Magnus Bordewich.

Features

  • Interprets LMC assembly and .lmc machine code
  • Test programs against multiple or all inputs (0–999)
  • Batch testing with LMC-style test files
  • Check outputs with custom checker functions
  • Optional graph of inputs vs cycles (requires lmc2py[plot])

Installation

From the project directory:

uv sync
# or: pip install -e .

For graph support (--graph):

uv sync --extra plot
# or: pip install -e ".[plot]"

Usage

CLI

Run LMC programs from the command line:

# After installing, the `lmc` command is available
lmc path/to/file.lmc
lmc path/to/file.lmc -i 997
lmc path/to/file.lmc --all -q -f

Or run as a module:

python -m lmc path/to/file.lmc --options

Import

Use the interpreter from Python:

fromlmcimportLMC, LMCWrapper, get_mailboxes_from_file# Load and run with the wrapper (batch, checker, feedback, etc.)wrapper=LMCWrapper("program.lmc", potential_values=[1, 2, 3], quiet=True)
wrapper.run_batch()
# Or use the core LMC and parser directlymailboxes, _=get_mailboxes_from_file("program.lmc")
vm=LMC([42], mailboxes)
inputs, outputs, cycles=vm.run_cycles()

The default behaviour is to execute the given file once. Assembly (.txt/.asm) is compiled to mailbox code first. The program reports fetch/execute cycles.

Optional flags (short and long form):

  • -h, --help: displays this list of options, instead of doing anything else. A source file is not needed in this case.
  • -a, --all: executes the program once for each value between 0 and 999.
  • -i [VAL], --input [VAL]: executes the program once for each VAL given. Multiple inputs can be given as a list, like -i 840 961 997.
  • -b [FILE], --batch [FILE]: Runs from any test file that is compatible with the original LMC and gives expected outputs based on those specified in this file.
  • -q, --quiet: executes the program without any terminal output, except errors. If you use this flag without any output flags, the program may not return anything.
  • -f [FILE], --feedback [FILE]: save the results of the program to a text file. If no FILE is specified, this will be a file in the source file's directory called feedback_<filename>.
  • -ch CHECKER, --checker CHECKER: run a checker function from a python file with the same inputs as the LMC code, to show the expected output and see if your program's output matches. Some example checker functions are included in checks/.
  • -g, --graph: show a scatter graph relating input to the number of cycles. Helps with visualizing program efficiency.

Something to consider

If your program requires multiple inputs, and it is passed a series of inputs using either --all or --input, it will use the next value from that series each time. If it runs out of inputs and then hits another IN statement, it will prompt you for another in the terminal.

Furthermore, if you attempt to use both the --batch and --checker arguments at the same time, the expected outputs in the batch file will be used and the checker function will be ignored.

About

Runs an LMC file in python

Resources

Stars

0 stars

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0 watching

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Packages

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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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lmc2py

A Python package that runs "Little Minion Computer" .lmc and assembly (.txt/.asm) files. The LMC is a conceptual model of a simple CPU, created by Durham professor Dr. Magnus Bordewich.

Features

  • Interprets LMC assembly and .lmc machine code
  • Test programs against multiple or all inputs (0–999)
  • Batch testing with LMC-style test files
  • Check outputs with custom checker functions
  • Optional graph of inputs vs cycles (requires lmc2py[plot])

Installation

From the project directory:

uv sync
# or: pip install -e .

For graph support (--graph):

uv sync --extra plot
# or: pip install -e ".[plot]"

Usage

CLI

Run LMC programs from the command line:

# After installing, the `lmc` command is available
lmc path/to/file.lmc
lmc path/to/file.lmc -i 997
lmc path/to/file.lmc --all -q -f

Or run as a module:

python -m lmc path/to/file.lmc --options

Import

Use the interpreter from Python:

fromlmcimportLMC, LMCWrapper, get_mailboxes_from_file# Load and run with the wrapper (batch, checker, feedback, etc.)wrapper=LMCWrapper("program.lmc", potential_values=[1, 2, 3], quiet=True)
wrapper.run_batch()
# Or use the core LMC and parser directlymailboxes, _=get_mailboxes_from_file("program.lmc")
vm=LMC([42], mailboxes)
inputs, outputs, cycles=vm.run_cycles()

The default behaviour is to execute the given file once. Assembly (.txt/.asm) is compiled to mailbox code first. The program reports fetch/execute cycles.

Optional flags (short and long form):

  • -h, --help: displays this list of options, instead of doing anything else. A source file is not needed in this case.
  • -a, --all: executes the program once for each value between 0 and 999.
  • -i [VAL], --input [VAL]: executes the program once for each VAL given. Multiple inputs can be given as a list, like -i 840 961 997.
  • -b [FILE], --batch [FILE]: Runs from any test file that is compatible with the original LMC and gives expected outputs based on those specified in this file.
  • -q, --quiet: executes the program without any terminal output, except errors. If you use this flag without any output flags, the program may not return anything.
  • -f [FILE], --feedback [FILE]: save the results of the program to a text file. If no FILE is specified, this will be a file in the source file's directory called feedback_<filename>.
  • -ch CHECKER, --checker CHECKER: run a checker function from a python file with the same inputs as the LMC code, to show the expected output and see if your program's output matches. Some example checker functions are included in checks/.
  • -g, --graph: show a scatter graph relating input to the number of cycles. Helps with visualizing program efficiency.

Something to consider

If your program requires multiple inputs, and it is passed a series of inputs using either --all or --input, it will use the next value from that series each time. If it runs out of inputs and then hits another IN statement, it will prompt you for another in the terminal.

Furthermore, if you attempt to use both the --batch and --checker arguments at the same time, the expected outputs in the batch file will be used and the checker function will be ignored.

About

Runs an LMC file in python

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages