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How to use get_entries method in autotest

Best Python code snippet using autotest_python

dot_matmul.py

Source:dot_matmul.py

...21                C_1, C_2, C_3, C_422        ).arrange_in_grid(buff=1.5)23        self.add(g2.to_edge(RIGHT))24        calculate = [25            [A_1.get_rows()[0], B_1.get_columns()[0], C_1.get_entries()[0]],26            [A_1.get_rows()[0], B_1.get_columns()[1], C_1.get_entries()[1]],27            [A_1.get_rows()[0], B_2.get_columns()[0], C_1.get_entries()[2]],28            [A_1.get_rows()[0], B_2.get_columns()[1], C_1.get_entries()[3]],29            [A_1.get_rows()[1], B_1.get_columns()[0], C_2.get_entries()[0]],30            [A_1.get_rows()[1], B_1.get_columns()[1], C_2.get_entries()[1]],31            [A_1.get_rows()[1], B_2.get_columns()[0], C_2.get_entries()[2]],32            [A_1.get_rows()[1], B_2.get_columns()[1], C_2.get_entries()[3]],33            [A_2.get_rows()[0], B_1.get_columns()[0], C_3.get_entries()[0]], 34            [A_2.get_rows()[0], B_1.get_columns()[1], C_3.get_entries()[1]],35            [A_2.get_rows()[0], B_2.get_columns()[0], C_3.get_entries()[2]],36            [A_2.get_rows()[0], B_2.get_columns()[1], C_3.get_entries()[3]],37            [A_2.get_rows()[1], B_1.get_columns()[0], C_4.get_entries()[0]],38            [A_2.get_rows()[1], B_1.get_columns()[1], C_4.get_entries()[1]],39            [A_2.get_rows()[1], B_2.get_columns()[0], C_4.get_entries()[2]],40            [A_2.get_rows()[1], B_2.get_columns()[1], C_4.get_entries()[3]]41        ]42        for a, b, c in calculate:43            rect1 = SurroundingRectangle(a)44            rect2 = SurroundingRectangle(b)45            rect3 = SurroundingRectangle(c)46            self.play(rect1.animate())47            self.play(rect2.animate())48            self.play(rect3.animate())49            self.wait(0.5)50            self.remove(rect1)51            self.remove(rect2)52            self.remove(rect3)53class MatrixMatmul(Scene):54    def construct(self):55        np.random.seed(42)56        A = np.random.randint(0,10,size=(2,2,2))57        A_1 = Matrix(A[0],v_buff=0.5, h_buff=0.5)58        A_2 = Matrix(A[1],v_buff=0.5, h_buff=0.5)59        B = np.random.randint(0,10,size=(2,2,2))60        B_1 = Matrix(B[0],v_buff=0.5, h_buff=0.5)61        B_2 = Matrix(B[1],v_buff=0.5, h_buff=0.5)62        C = np.matmul(A,B)63        C_1 = Matrix(C[0])64        C_2 = Matrix(C[1])65        g1 = Group(66                A_1, B_1, A_2, B_267        ).arrange_in_grid(buff=1)68        self.add(g1.to_edge(LEFT))69        g2 = Group(70            C_1, C_271        ).arrange_in_grid(buff=1)72        self.add(g2.to_edge(RIGHT))73        74        for i in range(A.shape[2]):75            rect1 = SurroundingRectangle(A_1.get_rows()[i],color=RED)76            rect2 = SurroundingRectangle(A_2.get_rows()[i])77            for j in range(B.shape[1]):78                rect3 = SurroundingRectangle(B_1.get_columns()[j],color=RED)79                rect4 = SurroundingRectangle(B_2.get_columns()[j])80                rect5 = SurroundingRectangle(C_1.get_entries()[j+(i*B.shape[1])],color=RED)81                rect6 = SurroundingRectangle(C_2.get_entries()[j+(i*B.shape[1])])82                self.play(rect1.animate())83                self.play(rect2.animate())84                self.play(rect3.animate())85                self.play(rect4.animate())86                self.play(rect5.animate())87                self.play(rect6.animate())88                self.wait(0.5)89                90                self.remove(rect3)91                self.remove(rect4)92                self.remove(rect5)93                self.remove(rect6)94            self.remove(rect1)95            self.remove(rect2)...

con_analysis_MvsW.py

Source:con_analysis_MvsW.py

...46    cc_shfl = np.zeros(N)47    for i in range(N):48        W_shfl = FG.shuffle_matrix(W)49        WTW_shfl = LA.sqrtm(W_shfl.T @ W_shfl)50        W_entr_shfl = FG.get_entries(WTW_shfl, diag=diag)51        cc_shfl[i] = np.corrcoef(W_entr_shfl, M_entries)[0, 1]52    return cc_shfl53def signif_sqrtWTW_M_LR(WL, WR, M_entries, N, diag):54    cc_shfl = np.zeros(N)55    for i in range(N):56        WL_shfl = FG.shuffle_matrix(WL)57        WR_shfl = FG.shuffle_matrix(WR)58        WTW_L_shfl = LA.sqrtm(WL_shfl.T @ WL_shfl)59        WTW_R_shfl = LA.sqrtm(WR_shfl.T @ WR_shfl)60        W_entr_shfl = np.concatenate([FG.get_entries(WTW_L_shfl, diag=diag),61                                      FG.get_entries(WTW_R_shfl, diag=diag)])62        cc_shfl[i] = np.corrcoef(W_entr_shfl, M_entries)[0, 1]63    return cc_shfl64def signif_sqrtWTW_M_LRbis(WL, WR, M_entries, N, diag):65    cc_shfl = np.zeros(N)66    for i in range(N):67        WL_shfl = FG.shuffle_matrix(WL)68        WR_shfl = FG.shuffle_matrix(WR)69        WTW_L_shfl = LA.sqrtm(WL_shfl.T @ WL_shfl)70        WTW_R_shfl = LA.sqrtm(WR_shfl.T @ WR_shfl)71        W_entr_shfl = np.concatenate([FG.get_entries(WTW_L_shfl, diag=diag),72                                      FG.get_entries(WTW_R_shfl, diag=diag)])73        cc_shfl[i] = np.corrcoef(W_entr_shfl,74                                 np.random.permutation(M_entries))[0, 1]75    return cc_shfl76# %%77# relationship between sqrt(WtW) and M (as theory, excluding the diagonal78# to which we have no access)79N = 1000080diag = False81# there is a unique symmetic square root82W_entries = np.concatenate([FG.get_entries(LA.sqrtm(WTW_L), diag=diag),83                            FG.get_entries(LA.sqrtm(WTW_R), diag=diag)])84M_entries = np.concatenate([FG.get_entries(M_L, diag=diag),85                            FG.get_entries(M_R, diag=diag)])86plt.figure()87plt.scatter(M_entries, W_entries)88plt.title('WTW vs M, L&R')89plt.show()90cc_real = np.corrcoef(W_entries, M_entries)[0, 1]91cc_shfl = signif_sqrtWTW_M_LR(W_f_L.values, W_f_R.values,92                              M_entries, N, diag)93pval = np.mean(cc_shfl > cc_real)94print('sqrt(WTW) vs M, on LR, cc', cc_real, 'pval', pval)95cc_shfl = signif_sqrtWTW_M_LRbis(W_f_L.values, W_f_R.values,96                              M_entries, N, diag)97pval = np.mean(cc_shfl > cc_real)98print('sqrt(WTW) vs M, on LR, shuffling M as well, cc', cc_real, 'pval', pval)99W_entries = FG.get_entries(LA.sqrtm(WTW_L), diag=diag)100M_entries = FG.get_entries(M_L, diag=diag)101plt.figure()102plt.scatter(M_entries, W_entries)103plt.title('sqrt(WTW) vs M, L')104plt.show()105cc_real = np.corrcoef(W_entries, M_entries)[0, 1]106cc_shfl = signif_sqrtWTW_M(W_f_L.values, M_entries, N, diag)107pval = np.mean(cc_shfl > cc_real)108print('sqrt(WTW) vs M, on L, cc', cc_real, 'pval', pval)109W_entries = FG.get_entries(LA.sqrtm(WTW_R), diag=diag)110M_entries = FG.get_entries(M_R, diag=diag)111plt.figure()112plt.scatter(M_entries, W_entries)113plt.title('sqrt(WTW) vs M, R')114plt.show()115cc_real = np.corrcoef(W_entries, M_entries)[0, 1]116cc_shfl = signif_sqrtWTW_M(W_f_R.values, M_entries, N, diag)117pval = np.mean(cc_shfl > cc_real)...

test_marker.py

Source:test_marker.py

1def test_marker__measure_no_start_or_end(marker):2    marker.start("foobar")3    marker.end("foobar")4    marker.measure("foobar")5    assert len(marker.timeline.get_entries()) == 36    assert any([e.name == "measure:foobar" for e in marker.timeline.get_entries()])7def test_marker__measure_start_only(marker):8    marker.start("foobar")9    marker.end("foobar")10    marker.end("barbaz")11    marker.measure("barbaz", "foobar")12    assert len(marker.timeline.get_entries()) == 413    assert any([e.name == "measure:barbaz" for e in marker.timeline.get_entries()])14def test_marker__measure_different_start_and_end(marker):15    marker.start("foobar")16    marker.end("barbaz")17    marker.measure("barbaz", "foobar", "barbaz")18    assert len(marker.timeline.get_entries()) == 319    assert any([e.name == "measure:barbaz" for e in marker.timeline.get_entries()])20def test_marker__measure_no_marks(marker):21    marker.measure("foobar")22    assert len(marker.timeline.get_entries()) == 123    assert any([e.name == "measure:foobar" for e in marker.timeline.get_entries()])24def test_marker__context_manager(marker):25    with marker("foobar"):26        pass27    assert len(marker.timeline.get_entries()) == 228def test_marker__nested_context_manager(marker):29    with marker("foobar") as nested_marker:30        with nested_marker("barbaz"):31            pass32    assert len(marker.timeline.get_entries()) == 433def test_marker__decorator(marker):34    @marker.decorator("foobar")35    def mock_func():36        pass37    mock_func()...

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