From 47f474438121c7b41fd3f1ff2f2bff9bc2850287 Mon Sep 17 00:00:00 2001
From: Tomáš Jusko
Date: Mon, 18 Dec 2023 19:46:51 +0100
Subject: Moved to test_stacked_combine

---
 test/sca/test_stacked_correlate.py | 64 --------------------------------------
 1 file changed, 64 deletions(-)
 delete mode 100644 test/sca/test_stacked_correlate.py

(limited to 'test')

diff --git a/test/sca/test_stacked_correlate.py b/test/sca/test_stacked_correlate.py
deleted file mode 100644
index 954494f..0000000
--- a/test/sca/test_stacked_correlate.py
+++ /dev/null
@@ -1,64 +0,0 @@
-import pytest
-from numba import cuda
-import numpy as np
-from pyecsca.sca import (
-    StackedTraces,
-    GPUTraceManager,
-    CombinedTrace
-)
-from pyecsca.sca.stacked_traces.correlate import gpu_pearson_corr
-
-TPB = 128
-TRACE_COUNT = 2 ** 10
-TRACE_LEN = 2 ** 15
-RTOL = 1e-5
-ATOL = 1e-5
-
-
-@pytest.fixture()
-def samples():
-    np.random.seed(0x1234)
-    return np.random.rand(TRACE_COUNT, TRACE_LEN).astype(np.float32, order="F")
-
-
-@pytest.fixture()
-def gpu_manager(samples):
-    if not cuda.is_available():
-        pytest.skip("CUDA not available")
-    return GPUTraceManager(StackedTraces(samples), TPB)
-
-
-@pytest.fixture()
-def intermediate_values():
-    np.random.seed(0x1234)
-    return np.random.rand(TRACE_COUNT)
-
-
-def pearson_corr(samples, intermediate_values):
-    return np.corrcoef(samples, intermediate_values, rowvar=False)[-1, :-1]
-
-
-def test_pearson_coef_no_chunking(samples, gpu_manager, intermediate_values):
-    corr_gpu = gpu_pearson_corr(intermediate_values,
-                                trace_manager=gpu_manager)
-    corr_cmp = pearson_corr(samples, intermediate_values)
-
-    assert isinstance(corr_gpu, CombinedTrace)
-    assert corr_gpu.samples.shape == \
-        corr_cmp.shape
-
-    assert all(np.isclose(corr_gpu.samples, corr_cmp, rtol=RTOL, atol=ATOL))
-
-
-def test_pearson_coef_chunking(samples, gpu_manager, intermediate_values):
-    corr_gpu = gpu_pearson_corr(intermediate_values,
-                                trace_manager=gpu_manager,
-                                chunk_size=2 ** 5,
-                                stream_count=4)
-    corr_cmp = pearson_corr(samples, intermediate_values)
-
-    assert isinstance(corr_gpu, CombinedTrace)
-    assert corr_gpu.samples.shape == \
-        corr_cmp.shape
-
-    assert all(np.isclose(corr_gpu.samples, corr_cmp, rtol=RTOL, atol=ATOL))
-- 
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