scirs2_ndimage/
python_interop.rs

1//! Python Interoperability Support
2//!
3//! This module provides the foundation for Python bindings, including data exchange,
4//! error conversion, and API compatibility layers that would be used with PyO3.
5//!
6//! Note: This module provides the foundation but requires PyO3 dependency to create
7//! actual Python bindings. See the documentation for setup instructions.
8
9use scirs2_core::ndarray::Dimension;
10use std::collections::HashMap;
11
12use crate::error::NdimageError;
13
14/// Python-compatible array metadata
15#[derive(Debug, Clone)]
16pub struct PyArrayInfo {
17    /// Array shape
18    pub shape: Vec<usize>,
19    /// Data type name (f32, f64, i32, etc.)
20    pub dtype: String,
21    /// Stride information for memory layout
22    pub strides: Vec<isize>,
23    /// Whether the array is contiguous in memory
24    pub contiguous: bool,
25}
26
27/// Python-compatible error information
28#[derive(Debug, Clone)]
29pub struct PyError {
30    /// Error type (ValueError, RuntimeError, etc.)
31    pub error_type: String,
32    /// Error message
33    pub message: String,
34    /// Optional error context
35    pub context: Option<HashMap<String, String>>,
36}
37
38impl From<NdimageError> for PyError {
39    fn from(error: NdimageError) -> Self {
40        match error {
41            NdimageError::InvalidInput(msg) => PyError {
42                error_type: "ValueError".to_string(),
43                message: msg,
44                context: None,
45            },
46            NdimageError::DimensionError(msg) => PyError {
47                error_type: "ValueError".to_string(),
48                message: format!("Dimension , error: {}", msg),
49                context: None,
50            },
51            NdimageError::ComputationError(msg) => PyError {
52                error_type: "RuntimeError".to_string(),
53                message: msg,
54                context: None,
55            },
56            NdimageError::MemoryError(msg) => PyError {
57                error_type: "MemoryError".to_string(),
58                message: msg,
59                context: None,
60            },
61            // Catch-all for remaining error types
62            _ => PyError {
63                error_type: "RuntimeError".to_string(),
64                message: format!("{}", error),
65                context: None,
66            },
67        }
68    }
69}
70
71/// Python-compatible function parameter specification
72#[derive(Debug, Clone)]
73pub struct PyParameter {
74    /// Parameter name
75    pub name: String,
76    /// Parameter type
77    pub param_type: String,
78    /// Default value (if any)
79    pub default: Option<String>,
80    /// Parameter description
81    pub description: String,
82    /// Whether the parameter is required
83    pub required: bool,
84}
85
86/// Python-compatible function specification
87#[derive(Debug, Clone)]
88pub struct PyFunction {
89    /// Function name
90    pub name: String,
91    /// Function description/docstring
92    pub description: String,
93    /// Input parameters
94    pub parameters: Vec<PyParameter>,
95    /// Return type description
96    pub return_type: String,
97    /// Usage examples
98    pub examples: Vec<String>,
99}
100
101/// Array conversion utilities for Python interop
102pub mod array_conversion {
103    use super::*;
104
105    /// Convert array metadata to Python-compatible format
106    pub fn array_to_py_info<T, D>(
107        array: &scirs2_core::ndarray::ArrayBase<scirs2_core::ndarray::OwnedRepr<T>, D>,
108    ) -> PyArrayInfo
109    where
110        T: 'static,
111        D: Dimension,
112    {
113        let shape = array.shape().to_vec();
114        let strides = array.strides().iter().map(|&s| s as isize).collect();
115
116        let dtype = if std::any::TypeId::of::<T>() == std::any::TypeId::of::<f32>() {
117            "float32".to_string()
118        } else if std::any::TypeId::of::<T>() == std::any::TypeId::of::<f64>() {
119            "float64".to_string()
120        } else if std::any::TypeId::of::<T>() == std::any::TypeId::of::<i32>() {
121            "int32".to_string()
122        } else if std::any::TypeId::of::<T>() == std::any::TypeId::of::<i64>() {
123            "int64".to_string()
124        } else {
125            "unknown".to_string()
126        };
127
128        PyArrayInfo {
129            shape,
130            dtype,
131            strides,
132            contiguous: array.is_standard_layout(),
133        }
134    }
135
136    /// Validate array compatibility for Python interop
137    pub fn validate_array_compatibility<T>(info: &PyArrayInfo) -> Result<(), PyError>
138    where
139        T: 'static,
140    {
141        // Check if the dtype matches the expected type
142        let expected_dtype = if std::any::TypeId::of::<T>() == std::any::TypeId::of::<f32>() {
143            "float32"
144        } else if std::any::TypeId::of::<T>() == std::any::TypeId::of::<f64>() {
145            "float64"
146        } else if std::any::TypeId::of::<T>() == std::any::TypeId::of::<i32>() {
147            "int32"
148        } else if std::any::TypeId::of::<T>() == std::any::TypeId::of::<i64>() {
149            "int64"
150        } else {
151            return Err(PyError {
152                error_type: "TypeError".to_string(),
153                message: "Unsupported array data type".to_string(),
154                context: None,
155            });
156        };
157
158        if info.dtype != expected_dtype {
159            return Err(PyError {
160                error_type: "TypeError".to_string(),
161                message: format!("Expected dtype '{}', got '{}'", expected_dtype, info.dtype),
162                context: None,
163            });
164        }
165
166        // Check for reasonable array sizes
167        let total_elements: usize = info.shape.iter().product();
168        if total_elements > 1_000_000_000 {
169            return Err(PyError {
170                error_type: "MemoryError".to_string(),
171                message: "Array too large for processing".to_string(),
172                context: None,
173            });
174        }
175
176        Ok(())
177    }
178}
179
180/// Python API specification generation
181pub mod api_spec {
182    use super::*;
183
184    /// Generate Python API specifications for ndimage functions
185    pub fn generate_filter_api_specs() -> Vec<PyFunction> {
186        vec![
187            PyFunction {
188                name: "gaussian_filter".to_string(),
189                description: "Apply Gaussian filter to n-dimensional array.".to_string(),
190                parameters: vec![
191                    PyParameter {
192                        name: "input".to_string(),
193                        param_type: "array_like".to_string(),
194                        default: None,
195                        description: "Input array to filter".to_string(),
196                        required: true,
197                    },
198                    PyParameter {
199                        name: "sigma".to_string(),
200                        param_type: "float or sequence of floats".to_string(),
201                        default: None,
202                        description: "Standard deviation for Gaussian kernel".to_string(),
203                        required: true,
204                    },
205                    PyParameter {
206                        name: "mode".to_string(),
207                        param_type: "str".to_string(),
208                        default: Some("'reflect'".to_string()),
209                        description:
210                            "Boundary mode ('reflect', 'constant', 'nearest', 'mirror', 'wrap')"
211                                .to_string(),
212                        required: false,
213                    },
214                ],
215                return_type: "ndarray".to_string(),
216                examples: vec![
217                    ">>> import scirs2_ndimage as ndi".to_string(),
218                    ">>> result = ndi.gaussian_filter(image, sigma=1.0)".to_string(),
219                ],
220            },
221            PyFunction {
222                name: "median_filter".to_string(),
223                description: "Apply median filter to n-dimensional array.".to_string(),
224                parameters: vec![
225                    PyParameter {
226                        name: "input".to_string(),
227                        param_type: "array_like".to_string(),
228                        default: None,
229                        description: "Input array to filter".to_string(),
230                        required: true,
231                    },
232                    PyParameter {
233                        name: "size".to_string(),
234                        param_type: "int or sequence of ints".to_string(),
235                        default: None,
236                        description: "Size of the median filter window".to_string(),
237                        required: true,
238                    },
239                ],
240                return_type: "ndarray".to_string(),
241                examples: vec![">>> result = ndi.median_filter(image, size=3)".to_string()],
242            },
243        ]
244    }
245
246    /// Generate Python API specifications for morphology functions
247    pub fn generate_morphology_api_specs() -> Vec<PyFunction> {
248        vec![PyFunction {
249            name: "binary_erosion".to_string(),
250            description: "Multidimensional binary erosion with given structuring element."
251                .to_string(),
252            parameters: vec![
253                PyParameter {
254                    name: "input".to_string(),
255                    param_type: "array_like".to_string(),
256                    default: None,
257                    description: "Binary array to be eroded".to_string(),
258                    required: true,
259                },
260                PyParameter {
261                    name: "structure".to_string(),
262                    param_type: "array_like, optional".to_string(),
263                    default: Some("None".to_string()),
264                    description: "Structuring element for erosion".to_string(),
265                    required: false,
266                },
267            ],
268            return_type: "ndarray".to_string(),
269            examples: vec![">>> result = ndi.binary_erosion(binary_image)".to_string()],
270        }]
271    }
272
273    /// Generate comprehensive API documentation
274    pub fn generate_python_docs() -> String {
275        let mut docs = String::new();
276
277        docs.push_str("# SciRS2 NDImage Python API\n\n");
278        docs.push_str("## Filters\n\n");
279
280        for func in generate_filter_api_specs() {
281            docs.push_str(&format!("### {}\n\n", func.name));
282            docs.push_str(&format!("{}\n\n", func.description));
283            docs.push_str("**Parameters:**\n\n");
284
285            for param in &func.parameters {
286                let req_str = if param.required {
287                    " (required)"
288                } else {
289                    " (optional)"
290                };
291                let default_str = param
292                    .default
293                    .as_ref()
294                    .map(|d| format!(", default: {}", d))
295                    .unwrap_or_default();
296
297                docs.push_str(&format!(
298                    "- `{}` (*{}*{}{}) - {}\n",
299                    param.name, param.param_type, req_str, default_str, param.description
300                ));
301            }
302
303            docs.push_str(&format!("\n**Returns:** {}\n\n", func.return_type));
304
305            if !func.examples.is_empty() {
306                docs.push_str("**Examples:**\n\n```python\n");
307                for example in &func.examples {
308                    docs.push_str(&format!("{}\n", example));
309                }
310                docs.push_str("```\n\n");
311            }
312        }
313
314        docs.push_str("## Morphology\n\n");
315
316        for func in generate_morphology_api_specs() {
317            docs.push_str(&format!("### {}\n\n", func.name));
318            docs.push_str(&format!("{}\n\n", func.description));
319            // ... similar formatting as above
320        }
321
322        docs
323    }
324}
325
326/// Example Python binding signatures (would be used with PyO3)
327pub mod binding_examples {
328
329    /// Example binding signature for Gaussian filter
330    /// This shows what the actual PyO3 binding would look like
331    pub fn example_gaussian_filter_binding() -> String {
332        r#"
333#[pyfunction]
334#[pyo3(signature = (input, sigma, mode="reflect"))]
335#[allow(dead_code)]
336fn gaussian_filter(
337    py: Python,
338    input: &PyArray<f64, Ix2>,
339    sigma: f64,
340    mode: Option<&str>,
341) -> PyResult<Py<PyArray<f64, Ix2>>> {
342    let input_array = input.readonly();
343    let input_view = input_array.as_array();
344    
345    let boundary_mode = match mode.unwrap_or("reflect") {
346        "reflect" => BoundaryMode::Reflect,
347        "constant" => BoundaryMode::Constant(0.0),
348        "nearest" => BoundaryMode::Nearest,
349        "mirror" => BoundaryMode::Mirror,
350        "wrap" => BoundaryMode::Wrap_ => return Err(PyValueError::new_err("Invalid boundary mode")),
351    };
352    
353    let result = crate::filters::gaussian_filter(&input_view, sigma, Some(boundary_mode))
354        .map_err(|e| PyRuntimeError::new_err(e.to_string()))?;
355    
356    Ok(result.to_pyarray(py).to_owned())
357}
358"#
359        .to_string()
360    }
361
362    /// Example binding signature for median filter
363    pub fn example_median_filter_binding() -> String {
364        r#"
365#[pyfunction]
366#[allow(dead_code)]
367fn median_filter(
368    py: Python,
369    input: &PyArray<f64, Ix2>,
370    size: usize,
371) -> PyResult<Py<PyArray<f64, Ix2>>> {
372    let input_array = input.readonly();
373    let input_view = input_array.as_array();
374    
375    let result = crate::filters::median_filter(&input_view, size)
376        .map_err(|e| PyRuntimeError::new_err(e.to_string()))?;
377    
378    Ok(result.to_pyarray(py).to_owned())
379}
380"#
381        .to_string()
382    }
383
384    /// Generate module definition for PyO3
385    pub fn generate_module_definition() -> String {
386        r#"
387#[pymodule]
388#[allow(dead_code)]
389fn scirs2_ndimage(py: Python, m: &PyModule) -> PyResult<()> {
390    // Filters submodule
391    let filters_module = PyModule::new(py, "filters")?;
392    filters_module.add_function(wrap_pyfunction!(gaussian_filter, filters_module)?)?;
393    filters_module.add_function(wrap_pyfunction!(median_filter, filters_module)?)?;
394    m.add_submodule(filters_module)?;
395    
396    // Morphology submodule
397    let morphology_module = PyModule::new(py, "morphology")?;
398    morphology_module.add_function(wrap_pyfunction!(binary_erosion, morphology_module)?)?;
399    morphology_module.add_function(wrap_pyfunction!(binary_dilation, morphology_module)?)?;
400    m.add_submodule(morphology_module)?;
401    
402    // Measurements submodule
403    let measurements_module = PyModule::new(py, "measurements")?;
404    measurements_module.add_function(wrap_pyfunction!(label, measurements_module)?)?;
405    measurements_module.add_function(wrap_pyfunction!(center_of_mass, measurements_module)?)?;
406    m.add_submodule(measurements_module)?;
407    
408    Ok(())
409}
410"#
411        .to_string()
412    }
413}
414
415/// Setup and installation utilities
416pub mod setup {
417
418    /// Generate setup.py content for Python package
419    pub fn generate_setup_py() -> String {
420        r#"
421from setuptools import setup
422from pyo3_setuptools_rust import Pyo3RustExtension, build_rust
423
424setup(
425    name="scirs2-ndimage",
426    version="0.1.0",
427    author="SciRS2 Team",
428    author_email="contact@scirs2.org",
429    description="High-performance N-dimensional image processing library",
430    long_description=open("README.md").read(),
431    long_description_content_type="text/markdown",
432    url="https://github.com/cool-japan/scirs",
433    rust_extensions=[
434        Pyo3RustExtension(
435            "scirs2_ndimage._rust",
436            binding="pyo3",
437            debug=False,
438        )
439    ],
440    packages=["scirs2_ndimage"],
441    zip_safe=False,
442    python_requires=">=3.7",
443    install_requires=[
444        "numpy>=1.19.0",
445    ],
446    classifiers=[
447        "Development Status :: 5 - Production/Stable",
448        "Intended Audience :: Science/Research",
449        "License :: OSI Approved :: Apache Software License",
450        "Programming Language :: Python :: 3",
451        "Programming Language :: Python :: 3.7",
452        "Programming Language :: Python :: 3.8",
453        "Programming Language :: Python :: 3.9",
454        "Programming Language :: Python :: 3.10",
455        "Programming Language :: Python :: 3.11",
456        "Programming Language :: Rust",
457        "Topic :: Scientific/Engineering",
458        "Topic :: Scientific/Engineering :: Image Processing",
459    ],
460    cmdclass={"build_rust": build_rust},
461)
462"#
463        .to_string()
464    }
465
466    /// Generate _init__.py for Python package
467    pub fn generate_init_py() -> String {
468        r#"
469'"'
470SciRS2 NDImage - High-performance N-dimensional image processing
471==============================================================
472
473A comprehensive library for n-dimensional image processing with SciPy-compatible APIs
474and Rust performance.
475
476Submodules
477----------
478filters : Filtering operations (Gaussian, median, etc.)
479morphology : Morphological operations (erosion, dilation, etc.)
480measurements : Measurements and analysis functions
481interpolation : Interpolation and geometric transformations
482segmentation : Image segmentation algorithms
483features : Feature detection algorithms
484
485Examples
486--------
487>>> import scirs2_ndimage as ndi
488>>> import numpy as np
489>>> image = np.random.random((100, 100))
490>>> filtered = ndi.gaussian_filter(image, sigma=1.0)
491>>> binary = image > 0.5
492>>> eroded = ndi.binary_erosion(binary)
493'"'
494
495from ._rust import *
496from . import filters, morphology, measurements, interpolation, segmentation, features
497
498__version__ = "0.1.0"
499__author__ = "SciRS2 Team"
500
501# Expose commonly used functions at the top level
502from .filters import gaussian_filter, median_filter, uniform_filter
503from .morphology import binary_erosion, binary_dilation, binary_opening, binary_closing
504from .measurements import label, center_of_mass, find_objects
505from .features import canny, sobel_edges
506
507__all__ = [
508    "gaussian_filter",
509    "median_filter", 
510    "uniform_filter",
511    "binary_erosion",
512    "binary_dilation",
513    "binary_opening", 
514    "binary_closing",
515    "label",
516    "center_of_mass",
517    "find_objects",
518    "canny",
519    "sobel_edges",
520]
521"#
522        .to_string()
523    }
524
525    /// Generate installation instructions
526    pub fn generate_install_instructions() -> String {
527        r#"
528# SciRS2 NDImage Python Installation Guide
529
530## Prerequisites
531
5321. **Rust**: Install Rust from https://rustup.rs/
5332. **Python**: Python 3.7 or later
5343. **Dependencies**: 
535   ```bash
536   pip install setuptools-rust pyo3-setuptools-rust numpy
537   ```
538
539## Building from Source
540
5411. Clone the repository:
542   ```bash
543   git clone https://github.com/cool-japan/scirs.git
544   cd scirs/scirs2-ndimage
545   ```
546
5472. Build and install:
548   ```bash
549   pip install .
550   ```
551
5523. For development installation:
553   ```bash
554   pip install -e .
555   ```
556
557## Usage
558
559```python
560import scirs2_ndimage as ndi
561import numpy as np
562
563# Create sample data
564image = np.random.random((100, 100))
565
566# Apply Gaussian filter
567filtered = ndi.gaussian_filter(image, sigma=1.0)
568
569# Binary morphology
570binary = image > 0.5
571eroded = ndi.binary_erosion(binary)
572
573# Feature detection
574edges = ndi.canny(image, sigma=1.0, low_threshold=0.1, high_threshold=0.2)
575```
576
577## Performance Notes
578
579- SciRS2 NDImage leverages Rust's performance for computational kernels
580- SIMD optimizations are automatically enabled when available
581- Parallel processing is used for large arrays
582- Memory usage is optimized through zero-copy operations where possible
583
584## Compatibility
585
586This package provides a SciPy-compatible API, making it a drop-in replacement
587for many `scipy.ndimage` functions with improved performance.
588"#
589        .to_string()
590    }
591}
592
593#[cfg(test)]
594mod tests {
595    use super::*;
596    use scirs2_core::ndarray::array;
597
598    #[test]
599    fn test_array_to_py_info() {
600        let arr = array![[1.0f64, 2.0], [3.0, 4.0]];
601        let info = array_conversion::array_to_py_info(&arr);
602
603        assert_eq!(info.shape, vec![2, 2]);
604        assert_eq!(info.dtype, "float64");
605        assert!(info.contiguous);
606    }
607
608    #[test]
609    fn test_validate_array_compatibility() {
610        let info = PyArrayInfo {
611            shape: vec![10, 10],
612            dtype: "float64".to_string(),
613            strides: vec![8, 80],
614            contiguous: true,
615        };
616
617        let result = array_conversion::validate_array_compatibility::<f64>(&info);
618        assert!(result.is_ok());
619    }
620
621    #[test]
622    fn test_invalid_dtype_compatibility() {
623        let info = PyArrayInfo {
624            shape: vec![10, 10],
625            dtype: "float32".to_string(),
626            strides: vec![4, 40],
627            contiguous: true,
628        };
629
630        let result = array_conversion::validate_array_compatibility::<f64>(&info);
631        assert!(result.is_err());
632    }
633
634    #[test]
635    fn test_error_conversion() {
636        let ndimage_error = NdimageError::InvalidInput("Test error".to_string());
637        let py_error: PyError = ndimage_error.into();
638
639        assert_eq!(py_error.error_type, "ValueError");
640        assert_eq!(py_error.message, "Test error");
641    }
642
643    #[test]
644    fn test_api_spec_generation() {
645        let specs = api_spec::generate_filter_api_specs();
646        assert!(!specs.is_empty());
647
648        let gaussian_spec = specs.iter().find(|s| s.name == "gaussian_filter");
649        assert!(gaussian_spec.is_some());
650
651        let spec = gaussian_spec.expect("Operation failed");
652        assert!(!spec.parameters.is_empty());
653        assert!(spec.parameters.iter().any(|p| p.name == "input"));
654        assert!(spec.parameters.iter().any(|p| p.name == "sigma"));
655    }
656
657    #[test]
658    fn test_python_docs_generation() {
659        let docs = api_spec::generate_python_docs();
660        assert!(docs.contains("# SciRS2 NDImage Python API"));
661        assert!(docs.contains("gaussian_filter"));
662        assert!(docs.contains("Parameters:"));
663    }
664}
scirs2_ndimage/python_interop.rs

scirs2_ndimage/
python_interop.rs
