use scirs2_core::ndarray::{Array1, Array2, Array3, Array4, ArrayView1, Axis};
use scirs2_core::Complex64;
use super::types::{
CompressionConfig, CompressionMethod, ContextEncoding, HyperNetworkArchitecture,
MetaLearningConfig, MetaLearningMethod, QuantizationScheme, QuantumActivation,
QuantumActivationConfig, QuantumINRConfig, QuantumImplicitNeuralRepresentation,
QuantumPositionalEncoder, SignalType,
};
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_quantum_inr_creation() {
let config = QuantumINRConfig::default();
let inr = QuantumImplicitNeuralRepresentation::new(config);
assert!(inr.is_ok());
}
#[test]
fn test_positional_encoding() {
let config = QuantumINRConfig::default();
let encoder = QuantumPositionalEncoder {
encoding_config: config.positional_encoding.clone(),
frequency_parameters: Array2::zeros((2, 10)),
quantum_frequencies: Array2::zeros((2, 10)).mapv(|_: f64| Complex64::new(1.0, 0.0)),
phase_offsets: Array1::zeros(10),
learnable_parameters: Array1::zeros(20),
};
let coordinates =
Array2::from_shape_vec((4, 2), vec![0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8])
.expect("Failed to create coordinates array");
let result = encoder.encode(&coordinates);
assert!(result.is_ok());
let encoded = result.expect("Encoding should succeed");
assert_eq!(encoded.nrows(), 4);
assert_eq!(encoded.ncols(), 40);
}
#[test]
fn test_query_functionality() {
let config = QuantumINRConfig {
coordinate_dim: 2,
output_dim: 3,
..Default::default()
};
let inr = QuantumImplicitNeuralRepresentation::new(config)
.expect("Failed to create QuantumImplicitNeuralRepresentation");
let coordinates = Array2::from_shape_vec(
(5, 2),
vec![0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0],
)
.expect("Failed to create coordinates array");
let result = inr.query(&coordinates);
assert!(result.is_ok());
let output = result.expect("Query should succeed");
assert_eq!(output.values.nrows(), 5);
}
#[test]
fn test_compression_configuration() {
let config = QuantumINRConfig {
compression_config: CompressionConfig {
compression_method: CompressionMethod::QuantumQuantization {
bit_width: 8,
quantization_scheme: QuantizationScheme::QuantumStates,
},
target_compression_ratio: 20.0,
quality_preservation: 0.9,
quantum_compression_enhancement: 0.5,
adaptive_compression: true,
},
..Default::default()
};
let inr = QuantumImplicitNeuralRepresentation::new(config);
assert!(inr.is_ok());
}
#[test]
fn test_meta_learning_configuration() {
let config = QuantumINRConfig {
meta_learning_config: MetaLearningConfig {
meta_learning_method: MetaLearningMethod::QuantumHyperNetwork {
hypernetwork_architecture: HyperNetworkArchitecture {
encoder_layers: vec![64, 128, 64],
decoder_layers: vec![64, 128, 256],
quantum_context_processing: true,
},
context_encoding: ContextEncoding::QuantumEmbedding,
},
adaptation_steps: 10,
meta_learning_rate: 1e-3,
inner_learning_rate: 1e-4,
quantum_meta_enhancement: 0.3,
},
..Default::default()
};
let inr = QuantumImplicitNeuralRepresentation::new(config);
assert!(inr.is_ok());
}
#[test]
fn test_signal_type_configurations() {
let signal_types = vec![
SignalType::Audio {
sample_rate: 44100,
channels: 2,
},
SignalType::Video {
frames: 30,
height: 256,
width: 256,
channels: 3,
},
SignalType::Shape3D {
vertices: 1000,
faces: 2000,
},
SignalType::SignedDistanceField {
bounds: Array2::from_shape_vec((3, 2), vec![-1.0, 1.0, -1.0, 1.0, -1.0, 1.0])
.expect("Failed to create bounds array"),
},
];
for signal_type in signal_types {
let config = QuantumINRConfig {
signal_type,
..Default::default()
};
let inr = QuantumImplicitNeuralRepresentation::new(config);
assert!(inr.is_ok());
}
}
#[test]
fn test_quantum_activation_types() {
let activations = vec![
QuantumActivation::QuantumSiren { omega: 30.0 },
QuantumActivation::QuantumGaussian { sigma: 1.0 },
QuantumActivation::EntanglementActivation {
entanglement_strength: 0.5,
},
QuantumActivation::SuperpositionActivation {
component_activations: vec![
QuantumActivation::QuantumSin {
frequency: 1.0,
phase: 0.0,
},
QuantumActivation::QuantumReLU { threshold: 0.0 },
],
weights: Array1::from_vec(vec![0.5, 0.5]),
},
];
for activation in activations {
let config = QuantumINRConfig {
activation_config: QuantumActivationConfig {
activation_type: activation,
frequency_modulation: true,
phase_modulation: true,
amplitude_control: true,
quantum_nonlinearity_strength: 0.5,
},
..Default::default()
};
let inr = QuantumImplicitNeuralRepresentation::new(config);
assert!(inr.is_ok());
}
}
}