112 lines
4.7 KiB
Python
112 lines
4.7 KiB
Python
"""Lab063: автономные проверки локального сопоставления без SDR."""
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from __future__ import annotations
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import numpy as np
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from experiments import lab063_tx_underrun_localization as lab
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def test_underrun_scale_is_exact():
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result = lab.underrun_scale(16_672)
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assert result["complex_samples"] == 8_336
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assert result["duration_seconds"] == 0.001042
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assert result["symbols"] == 521
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assert np.isclose(result["fraction_of_packet"], 8_336 / 92_256)
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def test_normalized_match_recovers_offset_gain_and_low_residual():
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random_generator = np.random.default_rng(6301)
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transmitted = (random_generator.choice((-1.0, 1.0), 2048)
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* np.exp(1j * np.arange(2048) * 0.01))
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gain = 0.35 - 0.2j
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search = np.concatenate((np.zeros(321, complex), gain * transmitted, np.zeros(400, complex)))
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result = lab.normalized_match(transmitted, search)
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assert result["offset"] == 321
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assert result["normalized_correlation"] > 0.999999
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assert abs(result["gain"] - gain) < 1e-12
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assert result["residual_power"] < 1e-20
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def test_alignment_localizes_inserted_delay_jump():
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random_generator = np.random.default_rng(6302)
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transmitted = random_generator.choice((-1.0, 1.0), 8192).astype(np.complex64)
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split, inserted = 4096, 700
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received = np.concatenate((np.zeros(1000), transmitted[:split], np.zeros(inserted), transmitted[split:], np.zeros(1000)))
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rows = lab.track_alignment(
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lab.ArrayReader(transmitted), lab.ArrayReader(received), 1000,
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frame_samples=8192, window_samples=512, step_samples=256, search_margin=1000,
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reliable_packet_start=0, reliable_packet_end=8192,
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)
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verdict = lab.alignment_verdict(rows, inserted)
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assert verdict["local_delay_discontinuity"]
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assert any(abs(row["delay_change_samples"]) >= inserted - 1 for row in verdict["jump_candidates"])
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def test_alignment_compares_reliable_windows_across_packet_boundary():
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rows = [
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{
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"window_index": 4, "tx_sample": 1000, "rx_sample": 2000,
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"packet_index": 1, "position_inside_packet_samples": 1000,
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"local_delay_samples": 0, "normalized_correlation": 0.9,
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"inside_reliable_region": True, "correlation_above_threshold": True,
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"reliable_for_delay": True,
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},
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{
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"window_index": 9, "tx_sample": 9000, "rx_sample": 10700,
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"packet_index": 2, "position_inside_packet_samples": 800,
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"local_delay_samples": 700, "normalized_correlation": 0.9,
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"inside_reliable_region": True, "correlation_above_threshold": True,
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"reliable_for_delay": True,
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},
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]
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verdict = lab.alignment_verdict(rows, 700)
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assert verdict["local_delay_discontinuity"]
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assert verdict["jump_candidates"][0]["packet_index"] == 2
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def test_alignment_discloses_internal_low_correlation_window():
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rows = [
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{
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"window_index": 0, "tx_sample": 1000, "rx_sample": 2000,
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"packet_index": 1, "position_inside_packet_samples": 1000,
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"local_delay_samples": 0, "normalized_correlation": 0.9,
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"inside_reliable_region": True, "correlation_above_threshold": True,
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"reliable_for_delay": True,
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},
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{
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"window_index": 1, "tx_sample": 1256, "rx_sample": 2956,
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"packet_index": 1, "position_inside_packet_samples": 1256,
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"local_delay_samples": 700, "normalized_correlation": 0.1,
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"inside_reliable_region": True, "correlation_above_threshold": False,
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"reliable_for_delay": False,
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},
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]
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verdict = lab.alignment_verdict(rows, 700)
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assert verdict["internal_low_correlation_windows"]["count"] == 1
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assert "UNDETERMINED_IN_1_INTERNAL_LOW_CORRELATION_WINDOWS" in verdict["local_delay_discontinuity_scope"]
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assert verdict["local_delay_discontinuity"] is False
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def test_classification_marks_global_degradation_without_jump():
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packets = [{
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"packet_index": index,
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"symbol_error_rate": 0.1,
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"symbol_rms_deviation": 1.2,
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"matched_residual_db": -1.0,
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} for index in range(1, 17)]
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result = lab.classify(packets, {"local_delay_discontinuity": False})
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assert result["quality_distribution"] == "GLOBAL"
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assert result["primary_cause_status"] == "PARTIALLY_LOCALIZED"
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def test_classification_marks_mixed_when_jump_and_global_damage_coexist():
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packets = [{
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"packet_index": index,
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"symbol_error_rate": 0.1,
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"symbol_rms_deviation": 1.2,
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"matched_residual_db": -1.0,
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} for index in range(1, 17)]
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result = lab.classify(packets, {"local_delay_discontinuity": True})
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assert result["quality_distribution"] == "MIXED"
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