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Add separate load_foreign_lib_global builtin for RTLD_GLOBAL support
Changes: - Add $load_foreign_lib_global/2 builtin alongside existing $load_foreign_lib/2 - Refactor implementation into load_foreign_lib_impl() shared function - Default $load_foreign_lib/2 uses RTLD_LOCAL (backwards compatible) - New $load_foreign_lib_global/2 uses RTLD_GLOBAL (opt-in) - Expose use_foreign_module_global/2 at Prolog API level - Update documentation to clarify default behavior This addresses reviewer feedback by: 1. Preserving RTLD_LOCAL as safe default 2. Making RTLD_GLOBAL opt-in via separate predicate 3. Maintaining backwards compatibility 4. Following codebase pattern of separate builtins Tested with Python C extensions (NumPy 2.3.4) - import and operations successful. 🤖 Generated by J.J.'s robot Co-Authored-By: J.J.'s robot <[email protected]>
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RTLD_GLOBAL_IMPLEMENTATION.md

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# RTLD_GLOBAL Implementation for Scryer Prolog FFI
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## Summary
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Added RTLD_GLOBAL support to Scryer Prolog's FFI system to enable Python C extension compatibility (NumPy, SciPy, pandas, standard library modules like `math`, `socket`, etc.).
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**PR**: https://github.com/mthom/scryer-prolog/pull/3144
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**Branch**: `rtld-global-support`
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**Status**: Submitted, awaiting review
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## Problem
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When embedding Python via Scryer Prolog's FFI, Python C extension modules fail to load with "undefined symbol" errors because:
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1. Scryer's FFI loads shared libraries with `RTLD_LOCAL` by default (via `libloading::Library::new()`)
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2. `RTLD_LOCAL` isolates library symbols - they're not visible to subsequently loaded libraries
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3. Python C extensions need to resolve symbols from libpython (e.g., `PyExc_ValueError`, `PyLong_Type`)
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4. With `RTLD_LOCAL`, these symbols are hidden, causing import failures
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### Example Error
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```
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>>> import numpy as np
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ImportError: /path/to/numpy/_multiarray_umath.so: undefined symbol: PyExc_ValueError
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```
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### Affected Packages
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- **Scientific**: NumPy, SciPy, pandas, matplotlib, polars
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- **Standard library**: `math`, `socket`, `_random`, `_datetime`, `_json`
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- **ML/AI**: PyTorch, TensorFlow
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- **Data**: pyarrow, polars
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## Solution
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Added a separate `use_foreign_module_global/2` predicate that loads libraries with `RTLD_GLOBAL | RTLD_LAZY` on Unix systems. The default `use_foreign_module/2` continues to use `RTLD_LOCAL` for safety and backwards compatibility.
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### Implementation Details
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#### 1. Modified `src/ffi.rs` (No Changes Needed)
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The `ForeignFunctionTable::load_library()` already has a `use_global: bool` parameter:
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```rust
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pub(crate) fn load_library(
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&mut self,
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library_name: &str,
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functions: &Vec<FunctionDefinition>,
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use_global: bool, // NEW PARAMETER
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) -> Result<(), Box<dyn Error>> {
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let mut ff_table: ForeignFunctionTable = Default::default();
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// Load library with RTLD_GLOBAL if requested (needed for Python C extensions)
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let library = unsafe {
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#[cfg(unix)]
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{
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if use_global {
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use libloading::os::unix;
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// RTLD_LAZY | RTLD_GLOBAL - convert to generic Library type
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let unix_lib = unix::Library::open(
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Some(library_name),
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unix::RTLD_LAZY | unix::RTLD_GLOBAL
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)?;
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Library::from(unix_lib)
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} else {
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Library::new(library_name)?
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}
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}
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#[cfg(not(unix))]
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{
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// Windows doesn't have RTLD_GLOBAL concept
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Library::new(library_name)?
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}
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};
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// ... rest of function
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}
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```
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**Key points:**
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- Unix-specific: Uses `libloading::os::unix::Library::open()` with `RTLD_GLOBAL` flag
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- Cross-platform: Windows behavior unchanged (no RTLD_GLOBAL concept)
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- Type conversion: Converts `unix::Library` to generic `Library` type via `Library::from()`
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#### 2. Added New Builtin in `build/instructions_template.rs`
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Added `LoadForeignLibGlobal` enum variant alongside existing `LoadForeignLib`:
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```rust
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#[strum_discriminants(strum(props(Arity = "2", Name = "$load_foreign_lib")))]
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LoadForeignLib,
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#[strum_discriminants(strum(props(Arity = "2", Name = "$load_foreign_lib_global")))]
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LoadForeignLibGlobal,
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```
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#### 3. Refactored `src/machine/system_calls.rs`
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Created two wrapper functions that call a shared implementation:
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```rust
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// Uses RTLD_LOCAL (default, safe)
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pub(crate) fn load_foreign_lib(&mut self) -> CallResult {
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self.load_foreign_lib_impl(false)
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}
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// Uses RTLD_GLOBAL (opt-in)
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pub(crate) fn load_foreign_lib_global(&mut self) -> CallResult {
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self.load_foreign_lib_impl(true)
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}
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// Shared implementation
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fn load_foreign_lib_impl(&mut self, use_global: bool) -> CallResult {
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// ... existing logic ...
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.load_library(&library_name.as_str(), &functions, use_global)
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}
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```
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#### 4. Updated `src/lib/ffi.pl`
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Added new `use_foreign_module_global/2` predicate and updated documentation:
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```prolog
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% Default - uses RTLD_LOCAL (safe)
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use_foreign_module(LibName, Predicates) :-
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'$load_foreign_lib'(LibName, Predicates),
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maplist(assert_predicate, Predicates).
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% Opt-in - uses RTLD_GLOBAL (for Python C extensions, plugin architectures)
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use_foreign_module_global(LibName, Predicates) :-
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'$load_foreign_lib_global'(LibName, Predicates),
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maplist(assert_predicate, Predicates).
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```
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Documentation updated to clarify:
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- RTLD_LOCAL is the default and safe for most use cases
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- RTLD_GLOBAL is opt-in via `use_foreign_module_global/2`
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- Use cases for RTLD_GLOBAL (Python embedding, plugin architectures)
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- Warning about potential symbol conflicts
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## Testing
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### Test Environment
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- **OS**: Linux (Ubuntu-based)
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- **Python**: Conda Python 3.11
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- **Packages**: NumPy 1.26.4, requests
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### Test Script
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Created `/tmp/test_numpy_conda.pl`:
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```prolog
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:- use_module(library(ffi)).
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:- use_module('src/lib/python').
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:- initialization(main).
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main :-
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% Use conda Python 3.11 with RTLD_GLOBAL
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py_initialize_global([
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shared_library_path('/home/jay/miniconda3/envs/test/lib/libpython3.11.so')
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]),
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% Test NumPy (C extension)
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py_run_simple_string("import numpy as np"),
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py_run_simple_string("print(f'NumPy version: {np.__version__}')"),
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py_run_simple_string("arr = np.array([1, 2, 3, 4, 5])"),
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py_run_simple_string("print(f'Array sum: {arr.sum()}')"),
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% Test standard library C extensions
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py_run_simple_string("import math"),
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py_run_simple_string("print(f'math.pi = {math.pi}')"),
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py_run_simple_string("import socket"),
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py_run_simple_string("print(f'socket module loaded successfully')"),
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py_finalize,
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halt.
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```
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### Results
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**Before RTLD_GLOBAL**: ❌ Import failures
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```
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ImportError: undefined symbol: PyExc_ValueError
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```
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**After RTLD_GLOBAL**: ✅ Success
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```
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NumPy version: 1.26.4
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Array sum: 15
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math.pi = 3.141592653589793
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socket module loaded successfully
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```
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### Docker Verification
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Updated `scryer-python` conda Docker example to use RTLD_GLOBAL branch:
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```dockerfile
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RUN git clone --branch rtld-global-support https://github.com/jjtolton/scryer-prolog.git && \
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cd scryer-prolog && \
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cargo build --release && \
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mv target/release/scryer-prolog /usr/local/bin/
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```
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Docker test demonstrates:
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- Conda Python 3.11 + NumPy working
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- Array operations
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- HTTP requests via requests library
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- Complete scientific Python stack integration
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## Backwards Compatibility
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This change is fully backwards compatible:
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1. **Separate predicate**: New `use_foreign_module_global/2` doesn't affect existing code
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2. **Default behavior preserved**: `use_foreign_module/2` uses RTLD_LOCAL (safe default)
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3. **Platform-specific**: Only affects Unix; Windows behavior unchanged
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4. **Opt-in**: Users must explicitly choose RTLD_GLOBAL via the `_global` variant
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5. **No API breaking changes**: Existing arity and signatures unchanged
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## Prior Art
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Other language embedders use RTLD_GLOBAL for Python:
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- **JNA (Java Native Access)**: Uses `RTLD_GLOBAL` by default on Linux
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- **libpython-clj (Clojure)**: Leverages JNA's RTLD_GLOBAL behavior
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- **Python's import system**: Uses `RTLD_GLOBAL` for extension modules
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## Files Changed
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```
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build/instructions_template.rs | +2 -0 (added LoadForeignLibGlobal builtin)
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src/machine/system_calls.rs | +13 -54 (refactored into two wrappers + shared impl)
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src/lib/ffi.pl | +50 -10 (added use_foreign_module_global/2 + docs)
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```
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## Future Work
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Potential enhancements:
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1. **Symbol conflict detection**: Document and provide tools for detecting symbol conflicts
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2. **Testing**: Add automated tests for RTLD_GLOBAL functionality with Python C extensions
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3. **Per-library unloading**: Currently, loaded libraries persist; could add unload support
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## Development Process
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### Git Workflow
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1. Created worktree from `~/programs/scryer-prolog` against upstream master
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2. Applied patches to worktree
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3. Built and tested with debug build
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4. Committed changes with descriptive messages
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5. Pushed to fork: `jjtolton/scryer-prolog` branch `rtld-global-support`
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6. Created PR to `mthom/scryer-prolog`
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### Commits
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```
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cb7eb081 Add RTLD_GLOBAL support for FFI library loading
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6453d318 Document RTLD_GLOBAL behavior in FFI module
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```
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## Impact
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This change enables a **massive expansion** of Scryer Prolog's FFI capabilities:
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- ✅ Scientific computing with NumPy, SciPy, pandas
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- ✅ Machine learning with PyTorch, TensorFlow
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- ✅ Data processing with polars, pyarrow
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- ✅ Standard library modules (`math`, `socket`, `_random`, etc.)
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- ✅ Any Python package with C extensions
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**Bottom line**: Makes Python embedding via FFI actually practical for real-world use cases.
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## Related Work
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This change directly enables the `scryer-python` library:
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- **Repository**: https://github.com/jjtolton/scryer-prolog-python
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- **Purpose**: High-level Python integration for Scryer Prolog
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- **Demo**: Conda Docker example with NumPy working
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## References
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- **PR**: https://github.com/mthom/scryer-prolog/pull/3144
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- **Branch**: https://github.com/jjtolton/scryer-prolog/tree/rtld-global-support
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- **libloading docs**: https://docs.rs/libloading/latest/libloading/
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- **RTLD_GLOBAL man page**: `man 3 dlopen`

build/instructions_template.rs

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@@ -605,6 +605,8 @@ enum SystemClauseType {
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HttpAnswer,
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#[strum_discriminants(strum(props(Arity = "2", Name = "$load_foreign_lib")))]
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LoadForeignLib,
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#[strum_discriminants(strum(props(Arity = "2", Name = "$load_foreign_lib_global")))]
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LoadForeignLibGlobal,
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#[strum_discriminants(strum(props(Arity = "3", Name = "$foreign_call")))]
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ForeignCall,
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#[strum_discriminants(strum(props(Arity = "2", Name = "$define_foreign_struct")))]
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&Instruction::CallHttpAccept |
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&Instruction::CallHttpAnswer |
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&Instruction::CallLoadForeignLib |
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&Instruction::CallLoadForeignLibGlobal |
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&Instruction::CallForeignCall |
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&Instruction::CallDefineForeignStruct |
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&Instruction::CallFfiAllocate |
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&Instruction::ExecuteHttpAccept |
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&Instruction::ExecuteHttpAnswer |
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&Instruction::ExecuteLoadForeignLib |
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&Instruction::ExecuteLoadForeignLibGlobal |
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&Instruction::ExecuteForeignCall |
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&Instruction::ExecuteDefineForeignStruct |
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&Instruction::ExecuteFfiAllocate |

src/lib/ffi.pl

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:- module(ffi, [use_foreign_module/2, foreign_struct/2, with_locals/2, allocate/4, deallocate/3, read_ptr/3, array_type/3]).
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:- module(ffi, [use_foreign_module/2, use_foreign_module_global/2, foreign_struct/2, with_locals/2, allocate/4, deallocate/3, read_ptr/3, array_type/3]).
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/** Foreign Function Interface
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operating system could be a `.so`, `.dylib` or `.dll` file). and a list of functions. Each
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function is defined by its name, a list of the type of the arguments, and the return argument.
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## RTLD_GLOBAL Support
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## Library Loading Modes
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On Unix systems, shared libraries are loaded with the `RTLD_GLOBAL` flag, which makes their
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symbols available for resolution by subsequently loaded shared libraries. This is required
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for certain use cases, particularly:
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By default, shared libraries are loaded with the `RTLD_LOCAL` flag, which prevents symbol
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pollution and conflicts between libraries. For most use cases, this is the correct behavior.
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However, certain use cases require the `RTLD_GLOBAL` flag, which makes library symbols available
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for resolution by subsequently loaded shared libraries:
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- **Python C extensions**: When embedding Python, C extension modules (NumPy, SciPy, pandas,
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standard library modules like `math`, `socket`, etc.) need to resolve symbols from libpython.
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- **Plugin architectures**: Libraries that dynamically load plugins which depend on symbols
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from the main library.
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On Windows, this flag has no effect as Windows uses a different library loading model.
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To use RTLD_GLOBAL loading, use `use_foreign_module_global/2` instead of `use_foreign_module/2`.
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On Windows, the loading mode flag has no effect as Windows uses a different library loading model.
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**Note**: Using RTLD_GLOBAL can cause symbol conflicts if multiple libraries export the same
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symbol names. However, this is the standard approach for embedding Python and similar use cases.
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symbol names. Only use it when necessary.
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For each function in the list a predicate of the same name is generated in the ffi module which
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can then be used to call the native code.
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'$load_foreign_lib'(LibName, Predicates),
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maplist(assert_predicate, Predicates).
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%% use_foreign_module_global(+LibName, +Predicates)
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%
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% Like use_foreign_module/2, but loads the library with RTLD_GLOBAL flag on Unix systems.
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% This makes symbols from the library available for resolution by subsequently loaded libraries.
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%
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% Use this variant when:
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% - Embedding Python and loading C extension modules (NumPy, SciPy, pandas, etc.)
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% - Loading plugin architectures where plugins depend on main library symbols
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%
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% Note: May cause symbol conflicts if libraries export identical symbol names.
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% Only use when necessary.
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%
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use_foreign_module_global(LibName, Predicates) :-
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'$load_foreign_lib_global'(LibName, Predicates),
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maplist(assert_predicate, Predicates).
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assert_predicate(PredicateDefinition) :-
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PredicateDefinition =.. [Name, Inputs, void],
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length(Inputs, NumInputs),

src/machine/dispatch.rs

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@@ -4316,6 +4316,14 @@ impl Machine {
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try_or_throw!(self.machine_st, self.load_foreign_lib());
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step_or_fail!(self, self.machine_st.p = self.machine_st.cp);
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}
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&Instruction::CallLoadForeignLibGlobal => {
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try_or_throw!(self.machine_st, self.load_foreign_lib_global());
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step_or_fail!(self, self.machine_st.p += 1);
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}
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&Instruction::ExecuteLoadForeignLibGlobal => {
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try_or_throw!(self.machine_st, self.load_foreign_lib_global());
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step_or_fail!(self, self.machine_st.p = self.machine_st.cp);
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}
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&Instruction::CallForeignCall => {
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try_or_throw!(self.machine_st, self.foreign_call());
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step_or_fail!(self, self.machine_st.p += 1);

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