diff --git a/Übung 3/SLN.py b/Übung 3/SLN.py index 227583e..02f8c4a 100644 --- a/Übung 3/SLN.py +++ b/Übung 3/SLN.py @@ -5,7 +5,7 @@ import matplotlib.pyplot as plt def ErrorRate(Y, T): if Y.ndim == 1 or Y.shape[0] == 1: - errors = Y != T + errors = Y - T return errors.sum() / Y.size else: # für mehrere Ausgaben in one-hot Kodierung: errors = Y.argmax(0) != T.argmax(0) @@ -28,8 +28,8 @@ class SLN: value = 0 for i in range(self.dIn): value += X[i, n] * self._W[i][0] - net[n] += value - return net > self._b[0] + net[n] += value + self._b[0][0] + return net >= 0 def delta_train(self, X, T, eta, maxIter, maxErrorRate): N = X.shape[1] # Anzahl Trainingsdaten @@ -37,23 +37,21 @@ class SLN: for it in range(maxIter): Y = self.neuron(X) # nur ein Aufruf err = ErrorRate(Y, T) - # if (it % 20) == 0: - print('#{} err:{}\n{}\n{}'.format(it, err, self._W, self._b)) - nnwplot.plotTwoFeatures(X, T, self.neuron) - plt.pause(0.05) # warte auf GUI event loop (je nach python Version notwendig oder nicht) + if (it % 20) == 0: + print('#{} err:{}\n{}\n{}'.format(it, err, self._W, self._b)) + nnwplot.plotTwoFeatures(X, T, self.neuron) + plt.pause(0.05) # warte auf GUI event loop (je nach python Version notwendig oder nicht) if err <= maxErrorRate: break # update _W - total_to_learn = 0 for n in range(N): error = T[n] - Y[n] for j in range(self.dIn): - weighted_error = error * X[j, n] + weighted_error = err * X[j, n] to_learn = weighted_error * eta - print("{:.2f} = {} * {} * {}".format(to_learn, error, X[j, n], eta)) - total_to_learn += to_learn - print(total_to_learn) - self._W[j, 0] += total_to_learn + #print("{:.2f} = {} * {} * {}".format(to_learn, err, X[j, n], eta)) + self._W[j, 0] += to_learn + self._b[0][0] -= to_learn # update _b ... print('#{} err:{}\n{}\n{}'.format(it, err, self._W, self._b)) diff --git a/Übung 3/training.ipynb b/Übung 3/training.ipynb index e2013bd..a86f0eb 100644 --- a/Übung 3/training.ipynb +++ b/Übung 3/training.ipynb @@ -3,8 +3,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-10-19T10:02:17.217089339Z", - "start_time": "2026-10-19T10:02:17.163596289Z" + "end_time": "2026-10-19T14:43:41.797215700Z", + "start_time": "2026-10-19T14:43:41.534207800Z" } }, "cell_type": "code", @@ -20,18 +20,14 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-10-19T10:02:17.281932342Z", - "start_time": "2026-10-19T10:02:17.221916014Z" + "end_time": "2026-10-19T14:43:41.883024500Z", + "start_time": "2026-10-19T14:43:41.847237700Z" } }, "cell_type": "code", "source": [ - "flower_data = np.loadtxt('data/iris.csv', delimiter=',')\n", - "inverse = flower_data.T\n", - "X = inverse[:-1]\n", - "T = inverse[-1]\n", - "two_features = X[:2]\n", - "one_input = two_features[:, 0][np.newaxis].T\n" + "X = np.array([[0., 0., 1., 1.], [0., 1., 0., 1.]])\n", + "T = np.array([-2., -1., -1., 0.])\n" ], "id": "d04fd0aaafa7b2e3", "outputs": [], @@ -43,14 +39,14 @@ "metadata": { "collapsed": true, "ExecuteTime": { - "end_time": "2026-10-19T10:02:17.341008859Z", - "start_time": "2026-10-19T10:02:17.287185867Z" + "end_time": "2026-10-19T14:43:41.952005Z", + "start_time": "2026-10-19T14:43:41.887027500Z" } }, "source": [ "sln = SLN(2, 1)\n", - "sln._W = [[-0.3], [1]]\n", - "sln._b = [1.7]" + "sln._W = [[1], [1]]\n", + "sln._b = [[-2]]" ], "outputs": [], "execution_count": 3 @@ -58,18 +54,18 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-10-19T10:02:17.403287025Z", - "start_time": "2026-10-19T10:02:17.343261661Z" + "end_time": "2026-10-19T14:43:42.110323400Z", + "start_time": "2026-10-19T14:43:41.957023600Z" } }, "cell_type": "code", - "source": "sln.neuron(one_input)", + "source": "sln.neuron(X)", "id": "5cb7b328ef2abe20", "outputs": [ { "data": { "text/plain": [ - "array([ True])" + "array([False, False, False, True])" ] }, "execution_count": 4, @@ -82,12 +78,12 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-10-19T10:02:17.696375579Z", - "start_time": "2026-10-19T10:02:17.412685314Z" + "end_time": "2026-10-19T14:43:43.065281500Z", + "start_time": "2026-10-19T14:43:42.178801900Z" } }, "cell_type": "code", - "source": "plotTwoFeatures(one_input, T[0], sln.neuron)", + "source": "plotTwoFeatures(X, T, sln.neuron)", "id": "19d68b97fca5a7e7", "outputs": [ { @@ -95,7 +91,7 @@ "text/plain": [ "
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" 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" }, "metadata": {}, "output_type": "display_data" @@ -106,15 +102,14 @@ { "metadata": { "ExecuteTime": { - "end_time": "2026-10-19T10:02:24.353354723Z", - "start_time": "2026-10-19T10:02:17.697932638Z" + "end_time": "2026-10-19T14:43:47.500782100Z", + "start_time": "2026-10-19T14:43:43.253470200Z" } }, "cell_type": "code", "source": [ "train_sln = SLN(2, 1)\n", - "#np.array([T[0]])\n", - "train_sln.delta_train(two_features, T, 0.1, 100, 0.0001)" + "train_sln.delta_train(X, T, 0.1, 100, 0.1)" ], "id": "e97b83cdad840616", "outputs": [ @@ -122,7 +117,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "#0 err:0.6666666666666666\n", + "#0 err:1.75\n", "[[ 0.28677805]\n", " [-0.07982693]]\n", "[[0.]]\n" @@ -133,7 +128,7 @@ "text/plain": [ "
" ], - "image/png": 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" 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" }, "metadata": {}, "output_type": "display_data" @@ -142,311 +137,10 @@ "name": "stdout", "output_type": "stream", "text": [ - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.29 = -1.0 * 2.9 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.43 = -1.0 * 4.3 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.58 = -1.0 * 5.8 * 0.1\n", - "-0.40 = -1.0 * 4.0 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.41 = -1.0 * 4.1 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.42 = -1.0 * 4.2 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.45 = -1.0 * 4.5 * 0.1\n", - "-0.23 = -1.0 * 2.3 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.53 = -1.0 * 5.3 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 7.0 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.9 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 6.5 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 4.9 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.2 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.0 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.8 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.4 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 3.4 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.1 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.71 = 1.0 * 7.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.76 = 1.0 * 7.6 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.49 = 1.0 * 4.9 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.73 = 1.0 * 7.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.36 = 1.0 * 3.6 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.57 = 1.0 * 5.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.22 = 1.0 * 2.2 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.56 = 1.0 * 5.6 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.74 = 1.0 * 7.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.79 = 1.0 * 7.9 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.59 = 1.0 * 5.9 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "5.689999999999995\n", - "#1 err:0.6666666666666666\n", - "[[0.28677805]\n", - " [5.61017307]]\n", - "[[0.]]\n" + "#20 err:1.25\n", + "[[5.38677805]\n", + " [5.02017307]]\n", + "[[-10.2]]\n" ] }, { @@ -454,7 +148,7 @@ "text/plain": [ "
" ], - "image/png": 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" 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ClJGRcd5yK0asq2FOnDiR58cyMzM9/lzcZwQAAN+9z4hHR0bOlVeIWKzYcBUcFxMiAADAt/FGeQAAwChiBAAAGEWMAAAAo4gRAABgFDECAACMIkYAAIBRxAgAADCKGAEAAEYRIwAAwChiBAAAGEWMAAAAo4gRAABgFDECAACMIkYAAIBRxAgAADCKGAEAAEYRIwAAwChiBAAAGEWMAAAAo4gRAABgFDECAACMIkYAAIBRxAgAADCKGAEAAEYRIwAAwChiBAAAGEWMAAAAo4gRAABgFDECAACMIkYAAIBRxAgAADCKGAEAAEYRIwAAwChiBAAAGEWMAAAAo4gRAABgFDECAACMIkYAAIBRxAgAADCKGAEAAEYRIwAAwChiBAAAGEWMAAAAo4gRAABgFDECAACMIkYAAIBRxAgAADCKGAEAAEYRIwAAwChiBAAAGEWMAAAAo4gRAABgFDECAACMIkYAAIBRxAgAADAq0NMB1157jfr06aPo6Cjt2rVL48Yl6McfD7g1tlmzZhr81JNasWKl3njzrYvZXgAA4M9HRq65pprmJM5WaGhxTZ8+Q1UqV7Gfly9f/oJjIyJK6603X1eVKlVUu07tS9lmAADgrzHy1KBB2rnzew0aNFiJiXP0yKOPKSsrS48/9ugFx77x+uv68KMpStmx41K2FwAA+HOMtGnTWvPmz3c8P3PmjBYuXKTWbVrnO65Pn4cUHh6ukSNHXfyWAgAA/54zUjwkROXKldOBA87zQ6znlaOjXY6re911Gjigvzp17qqcnBy3PldwcLD9yBUWFubuZgIAAF+NkaDf4yAjI8Np+alTpxQU9Ec4nCs0NFRjxo7W888P0f79+93eqAH9+yk+frDb6wMAAD+IkfT0dJ0+fVqlS5d2Wh4REaFjx47lOaZVy5aKjopSjx532w9LnTp1lJ2drWlTP1K//gN15MiR88aNGDlK4xLGOx0ZWb9ujSdfFwAA8LUYOXv2rLZv36569eo6Lbeeb968Oc8xq9esUa/eDzgte/bZZ3Q667RGjhqtEydO5DnOmhRrPQAAgO/zaALrtOkz1KVzF1WtWtV+Xr9+fbVu3VrTZ8xwrHPXXXF6950J9u+PHj2q5OSlTg9r2ZGfj9i/z8zMLOivBwAA+PJNz9577337SMjCBfO0c+dO1agRo/c/mKjZsxMd61xdpYpatGh+ObYVAAD4e4xYcz2se4wMGzZcUVFRSk1N1aFDh5zWmfHxJ/pm2XKXf8arr76m7Gz3rqoBAAC+z+PbwVusK2NcXR2zZ88e++HKli1bL+ZTAgAAH8Ub5QEAAKOIEQAAYBQxAgAAjCJGAACAUcQIAAAwihgBAABGESMAAMAoYgQAABhFjAAAAKOIEQAAYBQxAgAAjCJGAACAUcQIAAAwihgBAABGESMAAMAoYgQAABhFjAAAAKOIEQAAYBQxAgAAjCJGAACAUcQIAAAwihgBAABGESMAAMAoYgQAABhFjAAAAKOIEQAAYBQxAgAAjCJGAACAUcQIAAAwihgBAABGESMAAMAoYgQAABhFjAAAAKOIEQAAYBQxAgAAjCJGAACAUcQIAAAwihgBAABGESMAAMAoYgQAABhFjAAAAKOIEQAAYBQxAgAAjCJGAACAUcQIAAAwihgBAABGESMAAMAoYgQAABhFjAAAAKOIEQAAYBQxAgAAjCJGAACAUcQIAAAwihgBAABGESMAAMCoQE8HhIaGqlvXroqOjtIPu3Zp9uxEnT59Ot8xda+7Ts1bNFdQYKA2bNyo5ctXXMo2AwAAfz0yEhFRWl/OnaPevXupWLFiGjigvz77dKaKh4S4HDNhfIKGDXtNlStHq3yFChqfME5jRo8qiG0HAAD+dmRk4MCBKlK0qLp3j9OpjAyNHjNGyclf64EHemvM2HF5jhkzdqzWrl3neD5jxgwtWrhAU6dN11dffXXpXwEAAPCfIyOdOnZQYuIcO0QsaWm/aMGCherYqaPLMeeGiGXbtu3KzMxUVKXIi91mAADgjzESHBysypUra/eu3U7Ld+/erWuuucbtT2jNNwkKCtLqNWvz/VwlSpRwPMLCwtz+8wEAgI+epilevLj964mTJ5yWnzh+XKG/f+xCqlevrldeGaqE8RO0Y8cOl+sN6N9P8fGD3d00AADgDzHy66+/Kjs7W+ElSzotDy9Vyv7YhVStWlXTpk7RokWL9eKLL+W77oiRozQuYbzjuXVkZP26Ne5uKgAA8MUYsS7fTU3do2uvvdZp+bXXXKMdO3bmO/bqq6/WxzOmacWKFXpy0FPKycnJd/2srCz7AQAAfJ9HE1gTExPVtWsXex6HpUKFCmrX7lZ7ea5WrVpq8FODHM+rVKmiTz6erhUrVmrAwCftoysAAAAXdWnvyFGjdfPNbTUncZZWrFyptm3a6LtNmzRp8oeOdZo2aaKHH+6j1994034+5aMPFR4erkOHDunvf3vWsV7y0qVKTl7qyacHAAD+HiMnTpxQ5y7dFBvbTlFRUfZlvYsXJzkd7bAC49jx447nkyZNVmBg0fP+rMyMzEvddgAA4AMCIitF5z+BoxCwTgulbN+qrFH3SVmnTG8OAABwR3BxBfebrJiatXXy5EmXq/FGeQAAwChiBAAAGEWMAAAAo4gRAABgFDECAACMIkYAAIBRxAgAADCKGAEAAEYRIwAAwChiBAAAGEWMAAAAo4gRAABgFDECAACMIkYAAIBRxAgAADCKGAEAAEYRIwAAwChiBAAAGEWMAAAAo4gRAABgFDECAACMIkYAAIBRxAgAADCKGAEAAEYRIwAAwChiBAAAGEWMAAAAo4gRAABgFDECAACMIkYAAIBRxAgAADCKGAEAAEYRIwAAwChiBAAAGEWMAAAAo4gRAABgFDECAACMIkYAAIBRxAgAADCKGAEAAEYRIwAAwChiBAAAGEWMAAAAo4gRAABgFDECAACMIkYAAIBRxAgAADCKGAEAAEYRIwAAwChiBAAAGEWMAAAAo4gRAABgFDECAACMIkYAAIBRgfIqOaY3AACAK+7HYxE6cLyMShb7VTXKH1BAgG/9JVxUjNSuXUvR0dHa9cMu7fz++8s25s+Cyi7U2WMVlP1rdQ7qAAB83uKUenp1YZyW7KznWFa93I96su1sPdx8gYoUyfG/GAkKCtK4sWPUtFlTbd68Wdc3aKDExDmKf/qZAh3jUsApFS2xSUWCf9KZX24kSAAAPuu9Fbeq7/S+KhKQ7bT8+yMVNeDjR7Xsh1p6t+cInwgSj2LkkYf7qEmTxoqNba8DBw4qJiZGc7+Yo2XLl+uTT2YW2BhX7MNS1iP4JxUN26az6XU8Gg8AgDfYcrCy+s543J6ccDanqNPHcn6f7jllXWs1q5qivi2/lF9NYI2Li9OsWbPtqLCkpKQoKSlJd8XFFegYd6KkSKh1qufsRf8ZAAAUVmOWdlCRACtFXE8OCVCO3v6qi3K8/8CI+0dGihYtqho1quvd995zWr5161bdf/99BTbGEhwcbD9yhYWF/b61JR3L7IMkoaeUc6a8u18CAABeYd4PNyo0zPmIyPmK6HBWpLb/Ul21rtqvQimoeMHGiBUEgYGBOnbsmNPytLQ0hYeHF9gYy4D+/RQfP/j8D3R33tlB7m48AABeZHc/T9Z+VYWd1QMnT5689BjJysqyfy1e3LlyQsPClJmZWWBjLCNGjtK4hPFOX8T6dWvUsFFjpaenu7vJ8BD7+cpgP7OffQnfz+xrd75HDh06lO86bsdIRkaG/YdFRUU5Lbee79mzp8DG5EZMbsicywqR/MoKBYP9fGWwn9nPvoTvZ/a1K+78v+3RBNakpCXq1LGDAn6/20qxYsUUG9tOi5OWONapUaOG2sfGejQGAAD4L49i5PU33lRkZKQmjE9Qz573auLE93X2zBklJCQ41unWtYveeusNj8YAAAD/5VGM7Nu3T7d16KidO3fqxhYttGrlKnXs1EVpab841knZsUPz5s/3aMyFWKdshg9/Pc9TNyg47Ocrg/3MfvYlfD+zrwtCQGSlaB+4QhkAAHgr3rUXAAAYRYwAAACjiBEAAOA9b5R3uVi3frfeTC8sNEzrN2zQ4cOHL8sYf2ddXt2w4fWqUL6Ctqds165duy84plSpUqpfv56ys7O1efMW/fKL+xOP/VmtWrVUtWpV7du7V5s2b3Z7XEhIiNq3j9XPP/+sb75Zdlm30RdER0er7nXX6ejRo1qzdq39ferOv4Prr2+gsmXLav36Dfa+Rv4iIkrrhhtuUFZmllavXq1TGRkX3GWVK1dWTEwNnTl9xv43wH6+sCJFiqjlTTepVOlSmj070a1vy+IhIWratKmCgoO0Zs1ar32NNj6B1XrBnjrlQ3tG9uHDR9SgQX3961//0dRp0wp0jL8rUaKEPpw8UdHRle03K2zc+AZNmjRZQ158yeWYl18eqtvat9eOHSkqVixE111XR8+/MEQffTTlim67t72YvPXmG7r11lu0YcNGO+RWr16jRx97XKdPn77g+GGvvaq77orT2rXrdNdf7r4i2+ytBgzorycHDtDatWtVrVo1HTt+XD169Mz3Pz3rPkgTxo9TYGCQtm3bZr931vDhb+jzWbOu6LZ7k44dO9jf01u2bFHJkuGKiIjQ/b162T+cuPLaq/9V9+53avnyFfYduBs2bKj/vvqqxo+fcEW33Zv06fOQ/S732dk5io6OUpWrq11wTL169TRp4vs6fOSIfk1Pt38IGjhwkNMVrd7CeIx8PGO6HRX33d/L/qnGegO9IS88r5YtW2v/jz8W2Bh/98ILz6ndre3UsVNnHT9+XDfc0Eiff/ap/npfL3311Vd5junV635NnTrNcUm1dZ+Y/77yslq2apPvHXT9Wc97e+j555+zL2e3jjxFVaqkefO/1IgRIzVuXP731unatYv693tCO3d+r6uuuooYyUeDBg0094tE9fzr/VqyZIn90+Gs2Z/bb8JpvRjnJTQ0VEuSFmnFypUaNGiw/dph3YSxebNm+urrry/tL95HlS5dWiuWf6ORI0dp5KjR9rJx48ao+rXVdWu7P25ueS7rp/TPPv1EXbvdbke15cEHemvIkBdU57p6OnHixBX9GrxFr173a9Gixbrpphv1v2GvuRUjXy1ZrG+//U4DBj5pP48f/JQdNc2a3+h1+9nonJHIyIq68cYWmvDOO47Dq1OmTNWpU6fUpWuXAhsDqfudd9pHjqwQsVgvEtZPlHFxd7rcPRMnTnK6t8sXX8y13/iwVs2a7FIXunfvrgULFjpOgVlxPGfOHMV1d72fcw9pW0Hdr/9AZblxBMXfde9+h32EzwoRi3XawDrS17lTZzsw8hIX110VKlTQc88973jtsN4jixBxzTplaO3P997/wLEsIWG8ateupTp1auc5plix395xfe/efY5lqb//8HLuu7Hj/Nfb/fvdf+fd+vXr20f6rL+PXO+8+579PjDt2t3qdbvXaIxYh5Qs27dtdyw7c+aMvv/hB8fHCmKMv7NegK3z4+fuM8vWbdtU24N91qpVS/vX7SkpBb6NvqJW7Vratt15P2/buk0xMTEux1iBN3r0SL351tv2zQHhxn6ulfd+Ll48xD6NmxfrCMi3332njFMZatu2rVq2vMmeC4H89/O+/fud3qB069Ztjo/lJTl5qaZNn6HxCWPto6l9HnpQz/3n3xo69BXmjRSg2r/v/3P/HVjzRQ4ePOjR63phYXQCa3jJcPvXtD9NuElLS1Op8PACG+PvwkuWtH/988Qm6y644W7uM+t0w0svDtGkyZOVmpp6WbbTV/Z1XvvZ+onQOk3w66+/njfmb88+Y0/A/OCDiVdwS72b9Tqwa9cup2VH09LsX129DpQrV1aBRQP15ZdfaN++/SpRIky1a9fW3//xT82c+ekV2W5f+H62voetI0r5vd6uX79eN7Zors6dOtmTsnNycs6LR1yakuEl7Uj881w06//C8FLe93+h0RjJ/P0UgHVY6dwXaesKmZ9++qnAxvi73H0WGhbmtDwsNNR+UXHnyMrUqR/Z5yaticJwzTqtZX0vnis0LPS3v4c89rV1mPWxxx7VCy8M0e3dutnLqlSurLJly9jPl3z1lY4dO8YuP28/Z563n63XBEuGi+9pa3mrVg10Z/e7tHLlSnvZE30f17DXXlNSUpJHb1Hhz9/P1pE869SNq9cO641SXxzygjp37uq4ksw6RfbeuxPUus3N2rt37xXZdn/4uwkJCbGvDrNi79x/B+68rhc2Rk/TpKb+dl49KirKaXlUVCXHOcaCGOPvDhw4YH9zWvvoz5dFpqbmv8/Kly+vGdOnas+evXr4kUfduiLEn+3enZrnfrbOBZ89e/a89bOzz2rOnC/UuHFjdehwm/2wxpcpU8b+vXVpNfLYz6mp570GWFcgWFxNrk7dnWqfJsgNEcucL+bap3ZiYpgHlef3c2qqKla8yr5K7NzvZ3t/utjPzVs01+7du50uaU9MnGMHjHU7BhSM1N2pKlq0qCpFRjqWWc+tye97LvC6XhgZjRHr3KP1It21S2fHMus+GFWqVNGihYuc5ipYV394MgZymlPzdXKy0z6zZslb+9WavX3uhKhbbrnZ8bxcuXJ2iFiHtB/q87BX1vaVtnjxYnvSX+5EPevFoVPHDlp4zn6uVq2q4yjI99//oL5P9HN6LF+xUikpO+zfc9WSi/28KMl+TahYsaJjWbduXe17jeSeVigTEWHv59ygW7Bwof176/s6l3Vpr+VHrsJz8f2cZJ/KbdWqldN+tvaxdU+L3O9xaz9br8G5+9L6D9G6nYBjP1ev7vjBCBcvNradfV8dy6pVq+wrZs69cKPdrbfap4MXJyV53W42ftOz555/QWNGj7J/f+DgQT326CP6/PNZWr1mjWOdZ599Rvv27nNcJubOGDh75ZVXNevzTzVyxNv2fupxzz32Ty9Tpk51rNOzZw/7nZWtF6CgoCBNnzbVnvg6esxYdbjtNsd6GzZuZN6IC2PHjtPtt3fTpEkf2Ec8Ytu1s8Pv7bffdqzTtk0bDR36khLnzMnzaAkubHZion0p5EcfTtakSZNUp04d+/TA3Xf3cKxTvXp1jRkzSh06dta3335rT6yc++WXmjLlQ/vKhRJhYfYpMmseFKcO8mZNqLb21Yi339To0WPteQr9nuirf/7fvxw/nFhHPKz9/PTTz+ijPXs0Y8bH9v0ypk2dYl/BZ51KeLjPQ/pm2TKtWPHHUSk4a9SooSpHV7bvyWKdesn9gSU5OdkxH8qat/flvHna9Nxm+wqyoS+/ouef+49Klihhzx/p1+8JvfPuu27d0LKwMX6fkdy/BOvSU+tc18qVqzR9xgynOyk+88zTOvrzz/ZlS+6Owfmsqwz+2vNela9Q3r6y5oOJk5zm3dzb4x7ViInRkCEv2vdteP314Xnuxo+mTLFf2JE36yfy3r176eqqV2v/vv32fj53PlOb1q3Vo8c9eqJff6dzvbms/2TLlimjN958i12cD+s/wfv+2lP16tez53tY98TZfs4kyWuvvUZPx8frlf++6jjCZJ1usG4qZ11Zc/LkSS1bttx+cUf+7rj9dvtIqjX/LDEx0d5vuayjgNZN0ayoy11uHRWxvsdjatSwT+1u/PZbffLJTOI7Hw/07q1mzZqet/x/w4fbR1BzY8T6YfDjjz9xfNz6e+nUqZOCg4Lsy9RnzZrtld/OhSJGAACA/+KN8gAAgFHECAAAMIoYAQAARhEjAADAKGIEAAAYRYwAAACjiBEAAGAUMQIAAIwiRgAAgFHECAAAMIoYAQAARhEjAABAJv0/orvpcVFBwWAAAAAASUVORK5CYII=" }, "metadata": {}, "output_type": "display_data" @@ -463,311 +157,10 @@ "name": "stdout", "output_type": "stream", "text": [ - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.29 = -1.0 * 2.9 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.43 = -1.0 * 4.3 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.58 = -1.0 * 5.8 * 0.1\n", - "-0.40 = -1.0 * 4.0 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.41 = -1.0 * 4.1 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.42 = -1.0 * 4.2 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.45 = -1.0 * 4.5 * 0.1\n", - "-0.23 = -1.0 * 2.3 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.53 = -1.0 * 5.3 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 7.0 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.9 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 6.5 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 4.9 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.2 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.0 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.8 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.4 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 3.4 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.1 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.71 = 1.0 * 7.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.76 = 1.0 * 7.6 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.49 = 1.0 * 4.9 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.73 = 1.0 * 7.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.36 = 1.0 * 3.6 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.57 = 1.0 * 5.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.22 = 1.0 * 2.2 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.56 = 1.0 * 5.6 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.74 = 1.0 * 7.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.79 = 1.0 * 7.9 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.59 = 1.0 * 5.9 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "5.689999999999995\n", - "#2 err:0.6666666666666666\n", - "[[ 0.28677805]\n", - " [11.30017307]]\n", - "[[0.]]\n" + "#40 err:1.25\n", + "[[10.38677805]\n", + " [10.02017307]]\n", + "[[-20.2]]\n" ] }, { @@ -775,7 +168,7 @@ "text/plain": [ "
" ], - "image/png": 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" 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" }, "metadata": {}, "output_type": "display_data" @@ -784,311 +177,10 @@ "name": "stdout", "output_type": "stream", "text": [ - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.29 = -1.0 * 2.9 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.43 = -1.0 * 4.3 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.58 = -1.0 * 5.8 * 0.1\n", - "-0.40 = -1.0 * 4.0 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.41 = -1.0 * 4.1 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.42 = -1.0 * 4.2 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.45 = -1.0 * 4.5 * 0.1\n", - "-0.23 = -1.0 * 2.3 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.53 = -1.0 * 5.3 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 7.0 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.9 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 6.5 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 4.9 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.2 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.0 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.8 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.4 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 3.4 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.1 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.71 = 1.0 * 7.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.76 = 1.0 * 7.6 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.49 = 1.0 * 4.9 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.73 = 1.0 * 7.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.36 = 1.0 * 3.6 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.57 = 1.0 * 5.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.22 = 1.0 * 2.2 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.56 = 1.0 * 5.6 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.74 = 1.0 * 7.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.79 = 1.0 * 7.9 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.59 = 1.0 * 5.9 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "5.689999999999995\n", - "#3 err:0.6666666666666666\n", - "[[ 0.28677805]\n", - " [16.99017307]]\n", - "[[0.]]\n" + "#60 err:1.25\n", + "[[15.38677805]\n", + " [15.02017307]]\n", + "[[-30.2]]\n" ] }, { @@ -1096,7 +188,7 @@ "text/plain": [ "
" ], - "image/png": 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" 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AgHfjRnkAAMAowggAADCKMAIAAIwijAAAAKMIIwAAwCjCCAAAMIowAgAAjCKMAAAAowgjAADAKMIIAAAwijACAACMIowAAACjCCMAAMAowggAADCKMAIAAIwijAAAAKMIIwAAwCjCCAAAMIowAgAAjCKMAAAAowgjAADAKMIIAAAwijACAACMIowAAACjCCMAAMAowggAADCKMAIAAIwijAAAAKMIIwAAwCjCCAAAMIowAgAAjCKMAAAAowgjAADAKMIIAAAwijACAACMIowAAACjCCMAAMAowggAADCKMAIAAIwijAAAAKMIIwAAwCjCCAAAMIowAgAAjCKMAAAAowgjAADAKMIIAAAwijACAACMIowAAACjCCMAAMAowggAADCKMAIAAIwijAAAAKMIIwAAwCjCCAAAMIowAgAAjArIbYVbb71Fffr0UWRkhPbu3atx4+L088+H3arbpEkTDX7+Oa1evUbvvvd+XtoLAAB8eWTklluqKDFhtoKDi2rmzHhVqljJ3i5TpsxV64aHl9D7772jSpUqqWatmtfSZgAA4Kth5PlBg7Rnz48aNGiwEhIS9eRTTystLU3PPP3UVeu++847mvrpNCXt3n0t7QUAAL4cRlq1aql58+c7ti9duqSFCxepZauWOdbr0+dxhYWFaeTIUXlvKQAA8O01I0WLFFHp0qV1+LDz+hBru2JkpMt6tW+7TQMH9FeHjp2VkZHh1nMFBQXZj0whISHuNhMAAHhrGAn8PRxcuHDBqfz8+fMKDPxvcMgqODhYY8aO1iuvDNGhQ4fcbtSA/v0UGzvY7f0BAIAPhJGzZ8/q4sWLKlGihFN5eHi4Tp48mW2dFs2bKzIiQt27P2g/LLVq1VJ6erpmTP9U/foP1PHjx6+oN2LkKI2LG+80MrJp4/rcvC4AAOBtYeTy5cvatWuX6tSp7VRubW/bti3bOuvWr1ev3o86lb300ou6mHZRI0eN1unTp7OtZy2KtR4AAMD75WoB64yZ8erUsZMqV65sb9etW1ctW7bUzPh4xz4PPBCjiR9OsL8+ceKEli1b7vSwyo7/etz+OjU1Nb9fDwAA8OaLnk2a9JE9ErJwwTzt2bNH1apF6aOPP9Hs2QmOfW6uVEnNmjW9Hm0FAAC+HkastR7WNUaGDRuuiIgIJScn6+jRo077xH/2uVasXOXyZ7z11ttKT3fvrBoAAOD9cn05eIt1Zoyrs2P2799vP1zZvn1HXp4SAAB4KW6UBwAAjCKMAAAAowgjAADAKMIIAAAwijACAACMIowAAACjCCMAAMAowggAADCKMAIAAIwijAAAAKMIIwAAwCjCCAAAMIowAgAAjCKMAAAAowgjAADAKMIIAAAwijACAACMIowAAACjCCMAAMAowggAADCKMAIAAIwijAAAAKMIIwAAwCjCCAAAMIowAgAAjCKMAAAAowgjAADAKMIIAAAwijACAACMIowAAACjCCMAAMAowggAADCKMAIAAIwijAAAAKMIIwAAwCjCCAAAMIowAgAAjCKMAAAAowgjAADAKMIIAAAwijACAACMIowAAACjCCMAAMAowggAADCKMAIAAIwijAAAAKMIIwAAwCjCCAAAMIowAgAAjCKMAAAAowgjAADAKMIIAAAwijACAACMIowAAACjCCMAAMCogNxWCA4OVpfOnRUZGaGf9u7V7NkJunjxYo51at92m5o2a6rAgABt3rJFq1atvpY2AwAAXx0ZCQ8voW/mJqp3714qXLiwBg7or6++/EJFixRxWWfC+DgNG/a2KlaMVJmyZTU+bpzGjB6VH20HAAC+NjIycOBAFfL3V7duMTp/4YJGjxmjZcu+06OP9taYseOyrTNm7Fht2LDRsR0fH69FCxdo+oyZ+vbbb6/9FQAAAN8ZGenQvp0SEhLtIGJJSflNCxYsVPsO7V3WyRpELDt37lJqaqoiKpTPa5sBAIAvhpGgoCBVrFhR+/bucyrft2+fbrnlFref0FpvEhgYqHXrN+T4XKGhoY5HSEiI2z8fAAB46TRN0aJF7X9PnzntVH761CkF//69q6latarefHOo4sZP0O7du13uN6B/P8XGDna3aQAAwBfCyLlz55Senq6wYsWcysOKF7e/dzWVK1fWjOnTtGjRYr322us57jti5CiNixvv2LZGRjZtXO9uUwEAgDeGEev03eTk/br11ludym+95Rbt3r0nx7o333yzPoufodWrV+u5Qc8rIyMjx/3T0tLsBwAA8H65WsCakJCgzp072es4LGXLllWbNvfY5ZlatGiuwc8PcmxXqlRJn382U6tXr9GAgc/ZoysAAAB5OrV35KjRuvvu1kpMmKXVa9aodatW+mHrVk2eMtWxT+NGjfTEE330zrvv2dvTPp2qsLAwHT16VH/+v5cc+y1bvlzLli3PzdMDAABfDyOnT59Wx05dFB3dRhEREfZpvYsXL3Ea7bACxslTpxzbkydPUUCA/xU/K/VC6rW2HQAAeAG/8hUic17AUQBY00JJu3YobdQjUtp5080BAADuCCqqoH5TFFW9ps6cOeNyN26UBwAAjCKMAAAAowgjAADAKMIIAAAwijACAACMIowAAACjCCMAAMAowggAADCKMAIAAIwijAAAAKMIIwAAwCjCCAAAMIowAgAAjCKMAAAAowgjAADAKMIIAAAwijACAACMIowAAACjCCMAAMAowggAADCKMAIAAIwijAAAAKMIIwAAwCjCCAAAMIowAgAAjCKMAAAAowgjAADAKMIIAAAwijACAACMIowAAACjCCMAAMAowggAADCKMAIAAIwijAAAAKMIIwAAwCjCCAAAMIowAgAAjCKMAAAAowgjAADAKMIIAAAwijACAACMIowAAACjCCMAAMAowggAADCKMAIAAIwijAAAAKMIIwAAwCjCCAAAMIowAgAAjCKMAAAAowgjAADAKMIIAAAwijACAACMIowAAACjAuRRMkw3AACAG+7nk+E6fKqkihU+p2plDsvPz7t+CXkKIzVr1lBkZKT2/rRXe3788brV+V+BpRbq8smySj9XlUEdAIDXW5xUR28tjNHSPXUcZVVL/6znWs/WE00XqFChDN8LI4GBgRo3dowaN2msbdu26fZ69ZSQkKjYF17M1zou+Z2Xf+hWFQr6RZd+u5NAAgDwWpNW36O+M/uqkF+6U/mPx8tpwGdPaeVPNTSxxwivCCS5CiNPPtFHjRo1VHR0Wx0+fERRUVGaOydRK1et0ueff5FvdVyxh6WsR9Av8g/Zqctna+WqPgAAnmD7kYrqG/+MvTjhcoa/0/cyfl/uOW1jSzWpnKS+zb+RTy1gjYmJ0axZs+1QYUlKStKSJUv0QExMvtZxJ5QUCramei7n+WcAAFBQjVneToX8rCjienGInzL0wbedlOH5AyPuj4z4+/urWrWqmjhpklP5jh071LPnI/lWxxIUFGQ/MoWEhPze2mKOMnuQJPi8Mi6VcfclAADgEeb9dKeCQ5xHRK5USMfSymvXb1VV46ZDKpACi+ZvGLECQUBAgE6ePOlUnpKSorCwsHyrYxnQv59iYwdf+Y1uzp0d6G7jAQDwIPv65Wbvt1TQWXngzJkz1x5G0tLS7H+LFnVOOcEhIUpNTc23OpYRI0dpXNx4pxexaeN61W/QUGfPnnW3ycgl+vnGoJ/pZ2/C+5m+duc9cvTo0Rz3cTuMXLhwwf5hERERTuXW9v79+/OtTmaIyQwyWVlBJKdkhfxBP98Y9DP97E14P9PXrrjzdztXC1iXLFmqDu3bye/3q60ULlxY0dFttHjJUsc+1apVU9vo6FzVAQAAvitXYeSdd99T+fLlNWF8nHr0eFiffPKRLl+6pLi4OMc+XTp30vvvv5urOgAAwHflKowcPHhQ97Zrrz179ujOZs20ds1ate/QSSkpvzn2Sdq9W/Pmz89VnauxpmyGD38n26kb5B/6+cagn+lnb8L7mb7OD37lK0R6wRnKAADAU3HXXgAAYBRhBAAAGEUYAQAAnnOjvOvFuvS7dTO9kOAQbdq8WceOHbsudXyddXp1/fq3q2yZstqVtEt79+67ap3ixYurbt06Sk9P17Zt2/Xbb+4vPPZlNWrUUOXKlXXwwAFt3bbN7XpFihRR27bR+vXXX7Vixcrr2kZvEBkZqdq33aYTJ05o/YYN9vvUnf8Ht99eT6VKldKmTZvtvkbOwsNL6I477lBaaprWrVun8xcuXLXLKlasqKioarp08ZL9f4B+vrpChQqp+V13qXiJ4po9O8Gtt2XRIkXUuHFjBQYFav36DR57jDa+gNU6YE+fNtVekX3s2HHVq1dXf//7PzV9xox8rePrQkNDNXXKJ4qMrGjfrLBhwzs0efIUDXntdZd13nhjqO5t21a7dyepcOEiuu22Wnrl1SH69NNpN7TtnnYwef+9d3XPPX/Q5s1b7CC3bt16PfX0M7p48eJV6w97+y098ECMNmzYqAf++OANabOnGjCgv54bOEAbNmxQlSpVdPLUKXXv3iPHP3rWdZAmjB+ngIBA7dy507531vDh7+rrWbNuaNs9Sfv27ez39Pbt21WsWJjCw8PVs1cv+8OJK2+/9S9169ZVq1attq/AXb9+ff3rrbc0fvyEG9p2T9Knz+P2Xe7T0zMUGRmhSjdXuWqdOnXqaPInH+nY8eM6d/as/SFo4MBBTme0egrjYeSz+Jl2qHikZy/7U411A70hr76i5s1b6tDPP+dbHV/36qsvq809bdS+Q0edOnVKd9zRQF9/9aX+9Egvffvtt9nW6dWrp6ZPn+E4pdq6Tsy/3nxDzVu0yvEKur6sx8Pd9corL9uns1sjTxEVKmje/G80YsRIjRuX87V1OnfupP79ntWePT/qpptuIozkoF69epo7J0E9/tRTS5cutT8dzpr9tX0TTutgnJ3g4GAtXbJIq9es0aBBg+1jh3URxqZNmujb7767tl+8lypRooRWr1qhkSNHaeSo0XbZuHFjVPXWqrqnzX8vbpmV9Sn9qy8/V+cu99mh2vLYo701ZMirqnVbHZ0+ffqGvgZP0atXTy1atFh33XWn/j3sbbfCyLdLF+v773/QgIHP2duxg5+3Q02Tpnd6XD8bXTNSvnw53XlnM0348EPH8Oq0adN1/vx5dercKd/qQOrWtas9cmQFEYt1kLA+UcbEdHXZPZ98Mtnp2i5z5sy1b3xYo3p1utSFbt26acGChY4pMCscJyYmKqab637OHNK2AnW//gOV5sYIiq/r1u1+e4TPCiIWa9rAGunr2KGjHTCyExPTTWXLltXLL7/iOHZY98giiLhmTRla/Tnpo48dZXFx41WzZg3VqlUz2zqFC//njusHDhx0lCX//uEl693YceXx9tAh9++8W7duXXukz/p9ZPpw4iT7PjBt2tzjcd1rNIxYQ0qWXTt3OcouXbqkH3/6yfG9/Kjj66wDsDU/nrXPLDt27lTNXPRZixbN7X93JSXlexu9RY2aNbRzl3M/79yxU1FRUS7rWAFv9OiReu/9D+yLA8KNfq6RfT8XLVrEnsbNjjUC8v0PP+jC+Qtq3bq1mje/y14LgZz7+eChQ043KN2xY6fje9lZtmy5ZsyM1/i4sfZoap/HH9PL//yHhg59k3Uj+ajm7/2f9f+BtV7kyJEjuTquFxRGF7CGFQuz/035nwU3KSkpKh4Wlm91fF1YsWL2v/+7sMm6Cm6Ym31mTTe8/toQTZ4yRcnJydelnd7S19n1s/WJ0JomOHfu3BV1/u+lF+0FmB9//MkNbKlns44De/fudSo7kZJi/+vqOFC6dCkF+Afom2/m6ODBQwoNDVHNmjX157/8VV988eUNabc3vJ+t97A1opTT8XbTpk26s1lTdezQwV6UnZGRcUV4xLUpFlbMDon/uxbN+lsYVtzz/hYaDSOpv08BWMNKWQ/S1hkyv/zyS77V8XWZfRYcEuJUHhIcbB9U3BlZmT79U3tu0looDNesaS3rvZhVcEjwf34P2fS1Ncz69NNP6dVXh+i+Ll3sskoVK6pUqZL29tJvv9XJkyfp8iv6OfWKfraOCZYLLt7TVnmLFvXUtdsDWrNmjV32bN9nNOztt7VkyZJc3aLCl9/P1kieNXXj6thh3Sj1tSGvqmPHzo4zyawpskkTJ6hlq7t14MCBG9J2X/jdFClSxD47zAp7Wf8fuHNcL2iMTtMkJ/9nXj0iIsKpPCKigmOOMT/q+LrDhw/bb06rj/73tMjk5Jz7rEyZMoqfOV379x/QE08+5dYZIb5s377kbPvZmgu+fPnyFfunp19WYuIcNWzYUO3a3Ws/rPolS5a0v7ZOrUY2/ZycfMUxwDoDweJqcXXyvmR7miAziFgS58y1p3aiolgHle37OTlZ5crdZJ8llvX9bPeni35u2qyp9u3b53RKe0JCoh1grMsxIH8k70uWv7+/KpQv7yiztq3F7/uvclwviIyGEWvu0TpId+7U0VFmXQejUqVKWrRwkdNaBevsj9zUgZzW1Hy3bJlTn1mr5K1+tVZvZ10Q9Yc/3O3YLl26tB1ErCHtx/s84ZFp+0ZbvHixvegvc6GedXDo0L6dFmbp5ypVKjtGQX788Sf1fbaf02PV6jVKStptf81ZSy76edES+5hQrlw5R1mXLp3ta41kTiuUDA+3+zkz0C1YuND+2npfZ7JO7bX8zFl4Lt7PS+yp3BYtWjj1s9XH1jUtMt/jVj9bx+DMvrT+IFqXE3D0c9Wqjg9GyLvo6Db2dXUsa9eutc+YyXriRpt77rGngxcvWeJx3Wz8omcvv/KqxoweZX99+MgRPf3Uk/r661lat369Y5+XXnpRBw8cdJwm5k4dOHvzzbc06+svNXLEB3Y/dX/oIfvTy7Tp0x379OjR3b6zsnUACgwM1MwZ0+2Fr6PHjFW7e+917Ld5yxbWjbgwduw43XdfF02e/LE94hHdpo0d/D744APHPq1btdLQoa8rITEx29ESXN3shAT7VMhPp07R5MmTVatWLXt64MEHuzv2qVq1qsaMGaV27Tvq+++/txdWzv3mG02bNtU+cyE0JMSeIrPWQTF1kD1rQbXVVyM+eE+jR4+11yn0e7av/vq3vzs+nFgjHlY/v/DCi/p0/37Fx39mXy9jxvRp9hl81lTCE30e14qVK7V69X9HpeCsQYP6qhhZ0b4mizX1kvmBZdmyZY71UNa6vW/mzdPWl7fZZ5ANfeNNvfLyP1UsNNReP9Kv37P6cOJEty5oWdAYv85I5i/BOvXUmutas2atZsbHO11J8cUXX9CJX3+1T1tytw6uZJ1l8KceD6tM2TL2mTUffzLZad3Nw90fUrWoKA0Z8pp93YZ33hmebTd+Om2afWBH9qxP5L1799LNlW/WoYOH7H7Oup6pVcuW6t79IT3br7/TXG8m649sqZIl9e5779PFObD+CD7ypx6qU7eOvd7DuibOriyLJG+99Ra9EBurN//1lmOEyZpusC4qZ51Zc+bMGa1cuco+uCNn9993nz2Saq0/S0hIsPstkzUKaF0UzQp1meXWqIj1Ho+qVs2e2t3y/ff6/PMvCN85eLR3bzVp0viK8n8PH26PoGaGEevD4Geffe74vvV76dChg4ICA+3T1GfNmu2Rb+cCEUYAAIDv4kZ5AADAKMIIAAAwijACAACMIowAAACjCCMAAMAowggAADCKMAIAAIwijAAAAKMIIwAAwCjCCAAAMIowAgAAjCKMAAAAmfT/gsPRU2eOKrAAAAAASUVORK5CYII=" }, "metadata": {}, "output_type": "display_data" @@ -1105,311 +197,10 @@ "name": "stdout", "output_type": "stream", "text": [ - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.29 = -1.0 * 2.9 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.43 = -1.0 * 4.3 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.58 = -1.0 * 5.8 * 0.1\n", - "-0.40 = -1.0 * 4.0 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.41 = -1.0 * 4.1 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.42 = -1.0 * 4.2 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.45 = -1.0 * 4.5 * 0.1\n", - "-0.23 = -1.0 * 2.3 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.53 = -1.0 * 5.3 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 7.0 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.9 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 6.5 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 4.9 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.2 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.0 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.8 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.4 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 3.4 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.1 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.71 = 1.0 * 7.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.76 = 1.0 * 7.6 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.49 = 1.0 * 4.9 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.73 = 1.0 * 7.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.36 = 1.0 * 3.6 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.57 = 1.0 * 5.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.22 = 1.0 * 2.2 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.56 = 1.0 * 5.6 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.74 = 1.0 * 7.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.79 = 1.0 * 7.9 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.59 = 1.0 * 5.9 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "5.689999999999995\n", - "#4 err:0.6666666666666666\n", - "[[ 0.28677805]\n", - " [22.68017307]]\n", - "[[0.]]\n" + "#80 err:1.25\n", + "[[20.38677805]\n", + " [20.02017307]]\n", + "[[-40.2]]\n" ] }, { @@ -1417,7 +208,7 @@ "text/plain": [ "
" ], - "image/png": 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HPBTg8+QbOiMkIYS4pEgyIoSq8kXS9UDLJ2F0oNSawfGocZ0WlhBCXCokGREC2Jh0LRsSrwa8icf5/05be/Gffr8NXoBCCNGDSQVWIRqsTb6ZLfGXM7fkNXrXH0TRNaosSaxOuZmi8OxghyeEED2WJCOiS0q25TK99B1CNBslIVl8lnwzmKwdvl+7OZpPMr7W4ftpSayzhDTbCRR0SkJ7S/8ZIQLQdZ2iqlxKa4swKWay4gcSExZ/Udt0uh0cP7Mfu6ueyJBo+iUOxaTKx2VHkntXdCmJtpPcmfsbQnSbb4VLn/oDTKxYysnwobzW56dBja+jJNoLmF/yIn3r9je5PD8sm1Wpd3AqrH+QIhOi6zp6eg+f7n+N4uo832UKCkPTxnPFiDuJDUto1fbcHhcrD73NppzlOD0O3+UR1ihmDryK6f0XoyhG1t6J1pI5I6LLSLDl85WcnzRJRM7Vp/4A9x/9YafH1dGS7bncnftLetcdvOC6DNtR7sj9NZl1h4IQmRBd197Czbyw8Y8UVzftHq+jc7B4O099/nMq688Y3p5Hc/Pi5r+w7thHTRIRgDpnDZ/uf5X39/wXXZdaQx1BkhHRZdyR550g2lwi0nhZoquIMeXLOy2mDqfrXFPwJGbN2WzxNRUdVfdwXeE/UXRPEAIUouuxOet4c8fT6L4p5k1puka9s4Z3dz1veJubclZwrHRfwzabtyV3FUdO725LyCIASUZElxDjLCbMUxuw+JgOzDz9dmeE1Cl61R8i0Vnktwqsik6ku4qBNTs6MTIhuq4d+Wtxa26/YzRd42jpXspqiwNuT9M1NpxYRqAKy6qisuH40taEKgySZER0CZPPfGSoCqoChGm1HR1Op+lbtxePgZehBxN96/Z0QkRCdH1HTu/BaGuGY2f2BxxTWX+GivrSgOM0XePYmf1yqqYDSDIiugSrZg92CEFh1pw0f2LqfDpmzdXR4QjRLbg8TkPjFBTcnsCvG3crXlu6rqHprelnJYyQZER0CXnhQwyN0wGtBz1tK60phhr1KQ1jhRCQGJmKqgR+H9DRSYhIDjguOjQOVTEZ2nd0aBwm1dhYYVzPeVcX3dru+HloKIb6wxhNXLqDAzFT8Rh4E1TQ2RM7sxMiEqLrm5A1x9DRiQhrNAOTRwUcF2oJZ0TG5IAJjoLCxD7zDMcpjJNkRHQZu2NnAf77w+jA++nf6qyQOpzdFMGmhKv8JmE6Cjvi5lJjaV3NBCF6qsy4/mQnj0IJkDxcNvQmw0cxZg+8GlUxobRw2lRRVCJCoiUZ6SCSjIguY2n6/ZyIGAE0TUjO/fnVXj/GZo3p1Lg62rqk69kWdxlAk8msjT/vi5nGytS7ghKbEF2RoijcOuFB+icOA2hyRKMxQVk49BYm9J5jeJsp0ZncM+VHWM0hnDuPqzE5iQqJ4SvTfkpkSHQ73AJxPiUtPbPLTwuOjIzkyOGD/GXPGzgDLOcS3V9W7T4Wn/o3Ma5SFHQ8mDgeOZr3M76BxxQW7PA6TLL9JGMqVpJZfwQFnaLQ/uyMny/VV4Voga7rnDhzgM25qzhdU4CqmBiQNJxJfeeTENG2OVY2Vx0789axu3AjNlcd0aFxjO01gxEZk7F0QkuKnsaqmnlo5E1kDxpCbW3LKyElGRFdk66R4DyFRXNSbYmn3nzxR0NCPHXEOk+jKSbKrWl4VEuz41TdTbzjFCbdTZU1Cbsp8qL3LYQQlyKjyYj0phFdiqJ7GF++jAllS4lxlwHe0zTHI0axIek6CsMHtnqbcY5ipp15l6FVGzHhrWJqUyPYGTePjYlX4TSFA2DR7Ew+8xFjK1YS7qkBvCt3DkZPYn3StZSFZLbPjRRCCNGEJCOiy1B1N1/K/xv9a3c1uVzBWxysX91e3st8gMPREw1vM9WWw20nf4tZc2I6ZwltmFbH5LKPGFiznZf7/gINldtP/o5ke16TpbYqGoOrNzOwZjtLev8fheHZF3szhRBCnEcmsIouY8qZD+hfuxuFC8uAmdBQ0Lim4AmiXGWGtqfqbm7M/xOW8xIR3/V4TwUtKvo384tfuiAROXffZt3FjXl/xqw5LrheCCHExZFkRHQJqu5mfPkyv5VGvEmKzpiKzwxtc1D1ViLdVQH6vmgMqtnK8KovAvaHCdXqGFq10dC+hRBCGCfJiOgS0uuPEe4J3HOm8bSJEdk1W9EMlFpX0Js9cnI+HYVBNVsN7VsIIYRxkoyILiFUqzc8NsRjbGyIx4ZqoJmWjmIgFWk4OmJw30IIIYyTZER0CbXmOEPjdKDWYmxsrSXOUEdcBd3QC0FDpdrgvoUQQhgnyYjoEopD+1BmTTXUFLyxbHwg+2KmGTr94las2JXQgONUNPbFSH8YIYRob5KMiK5BUVifeJ3fGR4aKvWmaPbFTDe0ybzwoRSF9vN7dEQHtsYvZHPilX4TIQ2V0yGZnIgcaWjfQgghjJNkRHQZ+2OnszbpBqBpjxYd0FCwmSJ5rff/+YqUBaQovJn1A8qtab5tNNIatn8gegprk29kQ+I17I6Z1ey+daDSmswbWT9CN9C2XAghROtI0TPRpaxPuo7ciGGMK1/OgNqdmDUnNZZ4dsXNZVfsXGzmqFZtr94cwwv9fsPwqi8YV76CBEcRmqKSHz6Y7fGXcSxyDCjeJOXT9Ps5HDOJcWXL6F1/EFX3UG5NZWf8fPbGzMDZg/viCCFEMEky0pPoOmbdhaaoaErXfWhNmgugxd4wheHZ7Vrp1K2GsCtuHrviArT+VhRORI7iROSodtu3EF2Vpmu4PU4sphAUJfASeCE6Utf9xBKGhblrGFOxkrEVK4lyVwJQGNqfbQkLORg9pUucWjBrTkZWrmF8+XISnKcAKLOmsj1+IbtjZ+FWQ4IcoRCXhpwzB1l/YhkHi7ej6xoWk5WxvWYytd9CkqLSgx2euERJMtLNxTpLuD33N0S6K5tUL02zn+CawqcYXL2F9zIfCOqRkhBPHbeefJRUe26Ty+OdxSwo/h8jKz/ntd4/wW6KCE6AQlwi1h79kKUHlqAqKrruXWnm8jjZevIztuWt4Y6J32NQyujgBikuScH/yizaTNE93HzyD0S4q1DRm6xEaSz2lV2znZmn3wxOgA2uKnyKFHveBT1nGn9PtudxVcGTwQlOiEvEwVPbWXpgCeA9RXMuTdfwaG5e3vI3yutOByM8cYmTZKQbG1C7k3hXid9aGgo648qXY/XYOjGys+IdRQys3RWwP8yAut0kOAo7MTIhLi2fH/0QJUB7BE3X2Jy7spMiEuIsSUa6sWGV631LVP2x6k4G1O7shIguNKxqg6EYNVSGVW3ohIiEuPRU2srIqziKHqCsoK5r7Mhb20lRCXGWJCPdWKCOtI00FMLd1Z0Q0YXCPTXnnUBqnh7EGIXo6eocxl9b9c7ADSuFaG+SjHRj9aZIQ11pVfSgTQ61q+FgqMi7jk0msArRIcIsxl9bIRappyM6nyQj3dihmMmGutK6FTPHosZ0QkQXOhgzyVB/GBMah6IndUJEQlx64sKTSIvOCjhnRFVURmVM7aSohDhLkpFu7HDUBGrMsX7nZGgo7ImZhd0U2YmRnXU6tA95YYP89ofRUCkIy6YkrG8nRibEpUNRFGYMuDLwnBFgct8FnROUEOeQZKQb86gW3sj6EQ419IKExNtTRaEwLJtVqbcHJ8AG72U+QLUlsdmkSUOlypLAu5kPBiEyIS4dozKnMq3f5QAo570WVUVFQeHGMV8nJTozGOGJS5wUPevmTof25j/9HmVS2SeMrFyDVXcCUGVJZFv8InbEzW+x7HpnqbPE8UK/3zChbCljK1YQ7vFOkKs3RbIzbj5bEi4P2pEbIS4ViqKwePjtZCUM5Itjn5Bfccx7OQqDU8cxc8AVZMUPDHKU4lKlpKVnGpldGFSRkZEcOXyQv+x5A6fmDnY4XZZJcxLprkRTTNSY46ALlIE/n6q7iXRVAFBrievSPXSE6MlqHdU43DYirFGEWgx2whailayqmYdG3kT2oCHU1ra8UqtTPglMJlOT33VdR9MCT2oUreNRrVRZk4MdRvM0jYnlnzKh7BMiPVUA1Jli2JqwiM3xV4B6NnHqU7OXOaeXkOTIQ0HHpVg5FD2Jz1JuxW6O9o0L8dQxonIdIys/J8JdhcMUzsHoyeyMm0utJb5Db06Eu5LRFasZWrWBUE8d9eZo9sbMYG/szFZ3FhYiGCJDookMiQ48UIhO0KojI6mpqTz4wLe57LIFxMXFk5OTwzPPPsubb77V4t985zsP8uMf/RC3++wRjerqaoaPMN4ZVY6MdG9mzc5Xj/2QGHc5OmdLwjf+XG2O45kBf8athnJVwZMMq/YWPzt3HHjnl7za+ycURAwhxZbDLXmPEeapg3MqmWioaIrKe5kPcDRqfIfcnr61e/hS/l8x6W6Uhn03ztFxqmG8nvUjisLlcLcQQhg9MtKq4/i33XoLO3ftYtHlVzBs+Aiee+55/vqXPzNnzmy/f7d9xw6yevf1/WtNIiK6v3tO/IJodzlwYW8agCh3Bfee+DkzTr/B8OoNLfawUdG47eSjxNvzufXk7wn11PuSgUYqGibdzXX5/yTVdqLdb0uSPY8b8v+CSXc36QfkjU/Hqtm4Je8PRLvOtPu+hRCip2pVMvLXv/2dN998izNnzmC323n9jTcoLi5mzOjRHRSe6O5SbCdIdBb6rW6gAAnOIiad+cjvwsPGhOSawqcJ0WwtVp/17ktnypkP2hp2iyaVfYSiay3Wd1HRsWgOxpUvb/d9CyFET9WmGY4mk4moqChuveVmYmJiWL58hd/xw4YO5fixoxzYv5dXX3mZYcOGtilY0f3MOt3yKbzzWfAYqCcLKY6TAcvgm9DIrtlGmLvG8P4DsWh2hlZtCljETUVjdMVnoHf5ueFCCNEltHoCa3Z2NitXLMNsNmOz2fnhj37Evv37WxxfUlzCg9/5LqtXryEmJpqHH/4x77z9FnPnLaCwsPkurVarFavV6vs9IkLKhHdX0e6ydt2ekWSlkYpOhLuy3SaURrirMeExNDZUs2HRHbiU0HbZtxBC9GStTkaOHDlCVu++hIeHc/VVV/HXv/yZ+rp6li5b1uz4Ja+/7vu5rq6O73//B2zatIHbbruVP/3pz83+zQPf/hYPPfT91oYmuiCXYg08qJXOnQQbiFsNabf9ulTjt0UH3Epw67sIIUR30eZCFPX19Sx5/XVWrfqM22+/zfDfud1uTpw4Qd8+fVoc8/gTT5I9aIjv35ixHbMqQnS8AzGTDSUOjStSAtHxNt/zV14evGXwyy0pVFqSDGzVmDpTDCUhWQGbE2qonIgYga6Y/I4TQgjhddFVsaxWK5p+9hy6oiioasubtVgsDOg/gOLi4hbHOJ1Oamtrff/q6uouNkwRJFvjLseNyW+ioQNuTJyy9jGUkGxIuCbgvA0Fna0Ji0BpzYmdABSFrQmLAjYnVNHYHr+o/fYrhBA9XKuSkX8//xxTpkwmJiaGlJQUvvH1rzF79iyWLDl7Kub73/su+/ft8f3+/HPPMm3aVGJiYujbtw+P//MfREVF8vIrr7TfrRBdl+qt+QHNH/lovOz9zG/zep8f41RC/I7bHzONLUlXsj7xGr/bPBI1np1x8y8u9mbsjZnBvuipDXVFmo9xS/zlHI+U5etCCGFUq+aMPPX003znOw8ydswYXC4XR44c4c677mHNmjW+MZqm4fGcneT35FNP8b3vfZexY8Zgs9nYuWsXi6+4ihMnctrtRoiu7Wj0BJb0epgrTj1DlLuiSTGzGlMcn6R/lZyokQA8NfDv3JT3Z9Ltx5ucDHErVjYnLGZd8o0ArE2+iQprKlNL3yPeVeIbV2eKZmvCIjYlXIneEeXwFZUPM75BSVgfJpZ9QpS70ndVlSWJjYlXsyt2TvsekRFCiB5OetOITpVky2VA7S4AjkWOpjSsT7PjQt21DK9aR6injpLQ3hyNntD8BnWdVHsOke5K7KYIisL6d1q/G0X3kG47TpinljpzDKdC+3bJfkBCCBEsXao3jeh4ifZ8RleuJtFRiEcxczJ86EX1STFrdmaXvM6gmq1YNAcOUwS7YmezMeFKUNv2tEmvP8LcktdIcBQB0L92N5+l3EpReHaTcRbNzqCaLfSuO4hFsxPlrqDeHENh2MCmRxx0jb51+xhe9QWRrgpspkgOR0/kcPSENickMc4SFhS/RJrtOKruocaSwLqk65tNhnTFROF5sXdXZ05GseXtARQfjUU1afQZU8q4a08QlWBv0/Y8modDxTvYU7SJOkc1kSExjMqYwqDUMajnJWyFlTlsO7mGM7WnsJisDEgewdheM6R5mxCXEDky0s2pupvFRc8xouoLPKiY0Hx9UjTFxNK0L7M3dlartjmkcgNXFz2Fiu5bRtv4f5di4eXeP6M4fIDxDWoat5/8Hb1sh4ALe87khw3ild4/A1WlT+1eri/4B1bNho6Ciu67XbnhQ3mn13dxmCKIcpVxU96fSHbk+67XGsbXmmN5o9cPKAnr26rbvajoeUZXrvb9fu7trjQn8u9+v8dp7lkfkJpH4cM/jmPzG9moJg3NowI6igqKorP4+zuYetuRVm2ztKaIFzb9kYr6UhRFRdcbHxmNhIgU7p78IxIjU3G6Hbyx/SkOFG9DVdRzJsIrWEwWbhz7DYanT2z32yyE6Dwd0ptGdD1XFD3LsKr1AL4VJo19Uky6myuLnmVQ9RbD2+tVd4Brip5EaUgVzu29AmDWXdyV+2sincaLmd2c/0eybIda7DmTZTvMLXl/IL3+GDfl/QmLZvfdhnNvV1b9IW7K+xMh7hpuy/0diY7CJtc3jg93V3Pbyd8R6yzBqNklrzGmIRE5N87G/8e4z3Dfif8zvL3u4uO/jGXzm96mft5EBEBB1xQ0j8pHfxrPtnf7Gd5etb2CZ9f/hiqb9/mhNyQYesNjVFFfynNf/IYaeyWvbfsnB4t3ePetn7s6SsflcfHa1n9y9PQehBA9nyQj3Viy/STDq9a3uNS08Zv9vJJXQPe/FLbRolP/8f1tS9tU8bCw+H+GthftLKVv3d6A4/rU72NeyUso6H76vmhk2o4yr+RV4lynWywJr6Jh0RzGe9NobiaWfeK3mJoCxLrPMLhqg7FtdgMVRRFsXJINur/Jtjqf/mMMbpext4oNx5dS76w9L7k4S9M1ah3VLN3/GodLdvmSlOb2qwOf7H8VXcrqC9HjSTLSjY2u+Cxg8S8FiHGdoXfdgYDbC3dXkeA8ZahIWf/anYZinFvyqqFxAJm2YwF7znhQGVK9iUAl0kxoDK/6AqvHFnC/E8uXYQpYysy7x+ln3g+4ve5i67v9UZRAH/QKtqoQDq7JCLg9j+Zhy8nPfEdDWqKjsadoE4qBe7ykOp/CSll5J0RPJ8lIN5boKAhY/Au81UgTnc33ATpXmu24oUREwfthrxqYv5PgPGVgi8aZ0LDoTkNxmnU30a7Ap5PSbMcNFVtTgCgD2+suSk9Eo/s9KuKlmjVOn4gJOK7eWYPdVW9o3x7N3XDsI7DS2sDPXSFE9ybJSDemKWaDH6I6GoFLk7tb0UdGx1v2PBAjYzqSZqAku2ZwdVDjxOCeQjXrBo6MeJsPm8yBk161g8rfq520VFsIETySjHRjeeFDDH04KkBexOCA4/LDs9F8U1dbpgMONQz8lP1vlBM5wvDRFiOJiweVOlOMobF1pmgqrMkBxx2INtY/B6A4tHUrdLqyvuNOGzoyontU+o47HXBcuDWSxIjUgOMUFMKtkSgGarIoKPSOHxhwnBCie5NkpBvbFTcnYDKioZIXPoiykMyA29NUKyfDhwYcpwC7YmcbinFt0pcCJjjeoywK+2KmBkwyTGhsTlgccG6JhsL2+AWGmtUdjxqLXQ0zdJRpVertBkZ1D6MX52AJ8eBv/o2iaiT3ryRr1JmA21MUhSn9FgYcp6Mzrf/lAeeWKIrKoJQxxIYnBtymEKJ7k2SkG6s3x7Ai9W6g+Y8TDRWXGsLStPsMb/O9zG/jUqwtfjzpQLU5jtXJtxjanqZaWZN8c4sxNl62NukGVqfcRo05zu+k3E0JV7AlYTEHoie1mIhpqJwO7c2WhMWGYgR4P+PbAWM8GD2Z0tDehrfZ1YVGurn+F5sb1jJfeMsVVcNk0bjhkU2Gq9tP6DOXvglDWpycqqAwIGk4MwdcycIhN7e4HVVRCbNEcNXIu4ztWAjRrUky0s3tjJ/PBxnfpNYcC3g/iBs/pIvC+vO/vr+iLCTwSohGdnM0z/T/M5WWZF8zuHP/FYX25+kBf21VFdbNiVexMuUOPA0Ff89tMufBxKqU29iYdC315hj+1/cRciJH+sY0Himxq+GsSrmN1cm3gqLyQca32JRwJa6GeS5aw4JgDZUDMVN4pfdPcamhhmM8ETWaN3s9hFMJvSBGHYUdsfN4v6HhX08y6vKT3PGXdcSmejtjK6rmm0eSll3J1/6zgsxh5Ya3Z1bN3DPlR0zoPdc3h6TxdIxJMTOxz3zumvQDTKqZWdlXc+2o+wi3Rp0zzvvc7ZMwmG/O/DVx4UntdVOFEF2YVGDtIRTdQ7/aPcQ7T6EpJvLCh1AamnVR20yyn2Ri2SeEeeqoNcfxReK11FoT2r5BTWNsxUr61O0DIDdiODvi5jc79yTGeZp+tXuw6A6qLYkcjRyDR71wgq3VU092zXbC3dU4TGEcixpLXUNi1lbZ1VsYWrUBk+6hJLQ3GxKvRmtm3z2JpsHxLamUHItBVXWyRp1pVRLSnHpnDQdP7aDeVUu4NZIhqeMIt0ZeMM6juTlcsovyutOYVDP9k4aTHJV+UfsWQnQN0pvmEqMrJo5HjeE4Y9ptm6Whvfk44xvttj0TbhzmCKoaJpU6TOGYcOPhvA96XSfKVU606wxW3QFAqFZPXTMJgdMUzr7YGe0WI8CR6Ikcib60ypCrKgycXMzAycXtts1waxTjegduRVBR5mHnOpWyehWzouLooxE/XcNs6joHbmsd1Szbv4SiqlwURaFPwmDmD7mRULPxo29CiJZJMiI6xdCqDVx26r+EafV4GpYZm/BwWfH/WJ52D/tjpgGQ4CjguoLHSXIU+MYpaMwpWcKOuHmsSr2j07ryio7l9mg8/+pa8iJeAIsHok2ATkGlm5Wv9OX6Yd9l7LjgT159Y/tT7CpY3+SyoqpcNpxYyqyBV7NwaMtzX4QQxsi7uuhwQ6vWc03hU745GCY8vutCtHquLnwKdJ3C8IHcmfMIIZr9gnGgM65iJWGeWj7I+BaGZ1SKLuupF5dRHPfyOTX4z66u0aLyeCvnYczmPzJyVHxQ4gNYsu0J9hRubPH6z49+gILCZUNv6sSohOh5us5xUNEjmTQnC0+90GLfl8b+OZcVv8Cc4lexavYWl+0q6Ayr3khWfeDS9qJr27unguL4l5t/UgCoHjA5eW+b8XYC7a2ivtRvItLo86Mf4HQ7OyEiIXouSUZEhxpSvZlQrd5vNRQFCNVsZNduD1je3oPK2PKV7Rqj6Hyrtq8HT4ADs6oHe+JGDh+q6pygzvPJvlcMjdPRWX3k3Q6ORoieTZIR0aHS7Cd8cz/80VBb7NZ7LhMaGbZj7RGaCKJyZS+YjK2MO3Ss/SbVtkZRVa7hsTllhzouECEuAZKMiG4ncMF60fX1sMdQ72G3R4hOJsmI6FDFoX1Qm0xEbZ6CZqD/sPc0TVFY/4sPTARVrDYs8GmaBgP7pnRwNM1LjTZepydL+ucIcVEkGREd6mD0ZJxqaMDeNC4llGORow31ptkRt6BdYxSdb+6Y6YFP02gmQsomMnRYbKfEdL7Fw4z2IVKYP/hLHRqLED2dJCOiQ7nVEFak3uVbNXO+xlU2K1PvYHXK7bhUa4sJiYbC4ajx5EYM68CIRWcYPSaBhLIboaWuwZoKmpmrRgWvMWFCZApDUscFHDet3yKsUvxMiIsiyYjocHtjZ/Fx2v24lBB0vP1oPJgajoiE8EnafeyOm0N5SDov9/k5VRZvoSvvONXXb2dvzExvQzupMdIjPHDH1aRV3gmayZt8eMy+UzdKfQpXp/8+6EXPbp/wXYamjm/x+sl9F3DFiDs6MSIheibpTSM6jUWzM7RqA6n2HACKQ/tyIGbqhQ3tdI2+dfvoX7sLi+btTbM3ZjrVVmma1hMVFdpY9vluKuwlmBQLgzOGMG9uH8zmrpN0Vtaf4dP9r1FcnYeiKGTFDWTRsFub7bUjhDhLetN0cVGuMvrU7cOsuaiyJpETMRxdCbwEtkW6Rlb9IRIcRXgUM/kRg6mwpjY7tG/NHoZWb8CkuykMG8D2uMuabVbX3lxqKMWhfX01R4pD+zbfWVdRyYkcSU7kyA6PqadzOVSObkinujSMkAgX2VNPERHnCHZYTaRnhHHvbZMNjd2/r4IDRwvRdI1+mamMG5+Eql6YtNQ6qjl6ejcOt53o0Diyk0dhNlnaHGNseCK3TjDWtbmy/gzHS/fj0lwkRCTTP2k4qnLh68vhtnOkZDd1zmrCLJEMShlFqCX8gnGaBjnbUjhzMgqTRaPf+BLiM+vafFvA28TwSMke7O56okJiyU4ZhcXUs5tBiq5NkpFOFuGuZOGp/zKwZjsqum/ORI05lnVJN7A7bk6rt5ldvZW5Ja8S5zrdpNJpTsRwlqXd60tK+tbs4prCJwnT6gHvfI1h1RuZV/IqGxOvZF1yx5W0zqg/yoLiF0iz5/rmjih4V9ssT72bwvDsDtv3pUjTYN0LQ/n8haHYa6w0zs5RzRpjrjjBlT/cQUhE9znKuGd3Oe9sfxFnwlbvyWUddp+CD14axPw+X2bWrEwA7K56Ptz7IrsLNqDpZ1dxhVkimDXwamYMuAKlg07zVdnKeX/3fzlcsrPhle0VHRrHZUNuYmzWTMDbpXjFwbfYmLMcl+dsYmhRrUzsM5eFQ2/xJU57lmWx9B+jqTwViW+GlaIzcMoprv3pVuLSW5eUOFw2Pt73Mjvy1zW5f0LN4cwYcAWzsq9uNnESoqPJaZpOFO6u4p6cnxPpqrig0mhjErEm+SY2Jl5jeJsjKj/nyqJnmy237kHFqYbxv36/Js5RzE35f4JmxjU+AbbHzWdF2r2tuEXG9Ko7yC15j6HqngsKm2ko6Kgs6f0weRFD233flyJdh/cfncCWtwbQXL11RdVIG1TBV/+9EmtY4GXXwbZrZxlvHHsYzA5vmfhzaQqgMDvqt8yalcwzX/yakpoCdL35heJT+l7GlSPuaveEpNpWwVNrf06towqthX0vHn4HU/st5JUtf+dg8Q6am9KtoNA/aTh3T/4B298dxHu/nQTNvLpVk0ZYtJNvvrzMcELidDt4bv1vKarMRW9hIf24rNlcP/orHZawiUuP0dM0kgJ3orklrxLVTCICZ99qZp9+g3hHkaHthblruLzo3y32fTGhYdVsLCr6N9cWPN5kP83te1zFSmKcpw3t2yhF17i68MlmExGgYWqqxtWFT6G08CYuWufYplS2vDWQlhq/6JrKqcNxrH2h6yd/mqbz9p4nm09EAFQdFJ01ZX9g+f53KaluOREB2JizvEOqpX687yW/iQjAJ/te5otjn3KweDstFX3T0TlWupd1+9bz/qMTGi698HHUPCq2aivv/77lybXnW3fsI4oqc1pMRAC2563h6Ok9hrcpRHuRZKSThLlrGFq1scUmcI00VMZWGOu9MqpyDQqa374vJjT61B8gRLcH7A8DMK/4ZUP7Nqp/7U6i3RV+S72r6ES5KxhQu6Nd932p2rgkG9Xk/3mmayqb3hiI29W13wI2bS7BE3u4+USkkaJDaBVbTq70+0ELoCoqG08sb9cYa+yV7Du11W8iAqAoKuuOfYTi95Xo9cXR5U1O9TRH86gcWZ9OeWFEwO15NDebclYG3KaqqGw4sSzg9oRob137nagHybAdxWSgEqmKRt9aY99MetftN1QaXcd48e0M21GDI43pXXfAUG8aDyZ610k33vZwfEsqmifwS7u+MpTSnOhOiKjt9h8/ZqxSq6biIfDEXE3XOF66rx0iOyu3/LDfozGNdF2jzlkdMCEAqDfnQmh54J3rCjnbkwMOO1NbTJ2zOuA4Tdc4cUZeh6LzSTLSSUy68bkuRseadZeB71jGKYDazqdKOuJ2C/80t/FnhaeLHxnx6G5aOt10cdtsx+111Dw2k9PAIN3QY9iaGM+d2CpEZ+na70Q9SHkLy2zPp6FSFpJhaOyZkHQ8Bh5CBWNv5zpQY4k3tG+jyq1pKAa6ziholFvT2nXfl6qErBrvqYsAVJNGfEbLE8q6gpSYVFBdBkYqBg//KSRGtO/zzOj2VEVFNbh8X/WEo9gTDIxUSOxdE3BUbHiiwVUyCvHhwekFJC5tkox0ktLQLIpC+wWY4eE9TbMzbp6hbe6KndvsZNhz6UC1OQ6NwO/VCrAu6XpD+zZqf8w0NANvwDoq+2Kmt+u+L1WTbjwWcIxq0hg2L5/wWCPfvoNnwdwB4DRQWEzR6B0zysAHrs7kvvPbJbZGGbF9SYnuFXAuiKZrDE+fiBLgbVdVVIbFLkR3BSgxr+jEZ9bQd1zgSefh1kiGp08ylJC09/0jhBGSjHSiNck3Ay0nBRoqBWEDOR452tD2SsL6cihqgt8ERwFWp9zKnthZft8qdaDSnMjR6Al+RrWezRzFpoSr/I7RgU2JV2EzR7Xrvi9VY686QUJmbYuTWBVVQzVrzLm/fedOdITISDND+ar/QbpCcsWtXDX2JhRFbTEpUBWVxMg0RmVOa9cYFUVh0dBb/M4FURSVvglDWDzsdsKtkSgtJAUKKiHmMBZNnsPgGQUoaktfNnTQFRZ9Z5fh7ghzsq/FpJr93j9x4Ym+eihCdCZJRjrRycjhvJf5IG7Fgn7O1NPGUy0F4dm8mfVD9FYUHfow45sciRrfZDvgrd+hobI09V4OxEzj0/Svcihq/AWTWRt/rjYn8O9+v2/7jfNjXdL1bEq4oiGuszE2xrsl/nLWJknX0/YSEuHmvmdXkdjbO2FRaUxKFO+jHxLh5t4nV5M6oCp4QbbCbTeMpV/tt7xN9bRzjrI1TGxNLL+Rb95+Oekxfbhn8o8uaFrX+MGfFJXBV6b+FKs5pN1jHJQympvHfeuCD/vGIxH9EoZw56TvEx0Wx/3Tf0Z0aJw3toaxjf+PCInmK9N+Slx4Arf8YT2DpnmX+Z9NLHUUVUc161z/i00Mn59vOMaU6EzunfIwIQ1VXn37bogxISKV+6f9rNkqsEJ0NCl6FgShnlpGVK5lQM1OLLqDCksqu+Nmkxc+pM1N4NJsxxld8RmJjgI8ipmTEcPYFTuHOktck3EpthPMK36FFMdJFF2jxpLAhsRr2B/b8adI4hzFjKlYSbrtOABFYf3ZFTeP8hCZK9IRNI/CkfVpbP+gH1Ul4YRGORkxP5+Ri04SEt79Xke5ObV8um4rp1370BUPcUo28ydMYdjwps9xh8vGroL17D+1DburntjwBMZlzWJg8sgOry5a56hhe94ajpzeg8vjIDEijQl95tI7PrtJITG35ubAqa3syt9AraOKiJAoRmVMZXj6xCZl63Ud8vcmsPWdAZzOicZs0RgwuZjx1x0nKsHephidbju7Czeyr2gLNmcdMWHxjO01g0GpY6T6qmh3RoueSTLSg0S6yolzlqApJk6HZjXf96U1dI0U+0lCtHrqzDGUWTNaTJaGVK4n03YEhxrBpsTFOE3SQEy0P7urnuLqfHRdIykqnciQmE7bd85hjX276lAVlbGTw0nLurhVPh6PxsZdBzhTXU5cZCzTxw7HZJJkQPQs0ijvEpJiy2FG6VsMqN3lO0DsVELYHTeHL5Kux24KXBSpCV1jfPlyJpZ9Qoy7zHfx6ZBebEi8hoMxU3yXLSx6ntGVa5oUNZta9j7V5gT+2+c32Kyd92Eheq5qewWrDr3NzvwvcGve1TWKojIsbQLzB99AclR6h+1721oXH2z5EHe/9yHU+2Vo/dYQQpbczK2XLyB7ROsSCI9H4/mPXuekZxmYGlYKVcOyfDOZyny+dvXtkpSIS44cGenmetft56a8P6Lq2gXVXTVUKqwpvNTnl8Ynh+oaVxX9i2FV64GmS4I1FFR0Pk+6gQ1J13Fr7m/pXX/wgnHgnYuiofL4gMexWWPbdNuEAG8X3KfX/Yq6Zsqtq4qKWbVy//SfkRHbt933veZTO8urvweWejCd997jMUN9ErcOfowR441/r3v09d9TG7rvwpYzDb+H2gfy0xt+IQmJ6BGkN80lwKLZ+VL+3xr6vlw4615FI85ZwmXF/zW8zVGVnzO8an2ztUkaj37MKn2LqaffaTERabxMRePLOT81vG8hmvPGjqebTUTAu1zWpTl5efNf8WjtW6zL6YDlpx8Ba92FiQh4LwsvZcnmfxne5pJly7yJCFz4wmn43R56lJc+/aBtQQvRTUky0o0Nq9qAVbMF6PuiMbh6K5GuisAb1HUmlH0asBaKB5WpZ7xvloH63UR5KolwGihrLUQziqvzyC075Lfvi65rVNnLOVyys133/dbL5RCb578vjsmNnrmRz5cGLkUPsK/6g8AFf3Q4av/EeKBC9ACSjHRjA2u2oxuoraqg0a92d8Bx0e4ykpyFfpMb8DbfM2OsFL0CTD/zroGRQlzoUPHOFmtynEtVVA4Wt2+jxWNl2wz2xTGxZU/gTsC1dXY0S2XgcsgK6JY6ikokiReXDklGurEQj/+jIo10FKxa4GWAVo/xpYKtWUcQ6qlrxWghznK6HYa63Oq6jtPdtqWuLfGo9YbK6qOruHVbwGGV1XWteuFU1dQbHyxENyfJSDdWZUk01JtGRafaErjPRa0lNuApmkat6QRcEtrb4EghmooOizfUEVdRFGLC2revUognxVtoLeDOPURaEgMOS06MNf6i0SE92UhvGiF6BklGurE9sTMD9qYBsKnhhkrM202RHIscEzDB0VCpMcX5HQNnE5ZN8VcGHCtEc0ZmTDLUXE7TtXYvYz57/LjmJ66eTzdxzdX9Aw6zWkyEOQYamjNicWQREx1mLFAhegBJRrqxkxHDGprv+X8YNyZejUe1+B1z7lgFf/1zFFyqlXcyHwQ/48B7RPpY5GgwGetUKsT5wq1RTO67AH/nNxRFZXDKGFKjs9p131PnWTEdv7JpCfrz6QrhR79M1gBjRxQvH3ZHw9+1tD3v/xYMuN14oEL0AJKMdGeKwptZP6A0JBOgySmWxqMbW+MXsjnB+JGJovCBvJ/5bTRMTZIcvWH7TjWU17Me5lRENh+lftV3XXP9bk5bM3gr64dtuWVC+CwadisjMyYDNJnM2tj9tnfcQG4e960O2fd3b78FpaChsV4zfXHMx67noW8bb6UwfvgAJkTd7/3l/ISk4feRYXcxfdzwNkYsRPckRc96AJPmYkj1JsZWrCDBUYSmmMmJGM6O+AUUhA9q0zZjnKcZW7GSoVUbfeXg98TOYnfsbOrNZ6uqxjpOcW3B46Q6Tvous6vhrE+8lq2JV1z0bRMCvBNUj5XuY1POcnLLjqCjkxadxeR+CxiaOh6T2nFH32z1Om+9XMohx3voSXtAVzAVT2Zk/JVcf0c0JlPry8IfOXGK97YtodKyCxQ36CaiXSO4esytDB2Y2f43Qoggkd40waJrhHlqAQWbKdJv47sQTz1m3YnNFImmdM3K/OHuKiJcFVRZknCaWy4rr+puwjy1uBQrTpOfrp+++4eG+6frHZzTdbDXWHC7TITHODCZL/4l4rSplOVHERblJDat5ZUXug71lSHoOoTHOlDb4e6x2zyUlzuJirIQFd3y80zTNeqdNaiKSpglskljtybjNJ3KCidOp058ghWrtes9hgClNaeotJWSFtWbyLCW2xK4nSr1VVZCwt2ERLT8/uL2aJSVOlFVhYREK6ra8mvb5qrD7XERbo3EpHbea1vXdWyuWjyaRkRIlN/Gdw63HYfbRpglAovJ2mkxtobL48TmqiPUHHZBN+ZzeTQP9c5aTKqJMEtEi89d0fk6tDdNWloq8fHx5OXlU1NTY+hvkpKSSE9PJy/vJBUVlW3ZbZcW4qljXPlyxpWvINLjbc1eZU5ge/wCdsQvONu0TtcYVrWB8eXLSLefAMCpWNkbO5MtCYuptKYE6yY0MaX0fSaWfUKYVuubQ1JlTmBt8o3sj53hGxfnKGZi+SeMqFyLRff22SgMG8DW+EUcjJ7sS8asnnrGVqxkXPlyot3eAmw15ji2xy1ge/wC/wlMJ/G4FLa935+Nr2Vz+kQsAKGRTiZcf4xptx8mOjnw8s3zndiWxId/mEDJsRga5z1YQt2MuSKHKx/eirnhFei0mdj0RjYbl2RTVexN+iITbEy+6ShTbj1MWJSr1fves7ucZds+oyLuI18PlNAz05ja+wrmzz+7wqnOUcOGE0vZnLuKeqf39RwfnsyUfguZ2Geu74PK7dZ578P97Kl6H3fcAe8fO6JIr7+eq+dMJ6t38B9DgFe2/J0Dp7ajnzO522oKYf7gG5g+YLHvsuJjMXzx0mB2f9oHj8t7ZKXP2BKm33GYIbMLfN8jys44eGfpVnJMb0F4KQBKTS8Gmb/E9VeOITLS+yBqusau/C/YcGIZRVW5vv2Oy5rF9AGLiQtP6rDb7PI42Zr7GRtyllNeVwJAuDWSiX3mMbXfIiJDon1jD5fs4ovjn3C8dD8AJsXE8IzJzOi/mPTYPh0WY2vkVxzni2Mfs+/UVt9qquzkUUzvv5gByWdPYVXbK9hwfClbcj/D7vYuhU6KTGdqv4WM7z27UxNBcXFadWRk0qRJPPKrXxAbG0tNbS39+vbj9Tfe4Gc/+zma1vyqDkVReOyxR7nxhhs4efIkvXv35plnn+MPf/ij4SC7+pGRCHcld+T8mljXaZRzypB551IonAnJ5JU+P8OuhnNV0b8YXrXe1+elkQcVj2JhSe+HKQzPDsrtaHRL7u/pW7+v2dYZANviLmNl2t30qjvIzXl/RNXdTVb1NN62XTGz+DT9K4R5arkj9zfEO081e/+UW9N4pc/Pmpz+6Wxup8pL353J0Y1p3ht9zpJORdUIi3Zy//OrSOlfZXibW97uz3u/ndi4lXOu8d6zsWm1fP+9j3DZTTx3/3xKjsai6+eO1VFUnbj0Or76nxVEJxmvo7FseQ6f1/7K+8u5K0I0E6gesqrv5+t3zqaivpRn1/2aakfleUtovTH0iuvPl6f+H4rHwp9eepG6xJWgq6CeM9ZjAlcUNw/+NaNGBW85qsfj4Q8rHqDW0fJjNDJ9MrdMeIDD69J5+aEZ6JqC5jlnHoqqoWsq0+44yOLv76Qgv45nPv8dWmR+09usK95VL5Uj+d613yMqRuX17U+yr2gzCgr6Oa9tVVGxmEK4b+r/kRkXeNVNaznddv6z4THyKo41Bnf29igqUSExfHX6L4iPSGbFwTdZfeQ9FEVt8ng3HkG5ZfwDDE+fSDDtzF/HWzueQVGUJpV3G2NeNPQWZg68itM1hTz3xW+pd9U2u/x7QNJw7pz0UJc96nOp6JDTNNdffx17du/h2PHjAAwaNIiln37Mjx/+P954481m/+aeu+/mxz/+IVdddQ3Hjh9n3LixvP3Wm3zjm9/i00+XGtpvV09G7sx5hHTbsWb7w4B3KeyJyJHkhw9m9uklLa4LaJwg+tTAf+BobafddjLj9BtMP/N+i9c3Plk+Svsal5X8D4vmaLHwmg6sSrmD/rU76V130O/9kxc+mNf6BK+Pzcd/HsuGVweht1BXQjFpRCfaeOjDDzFbAi+nrigK509XXNP41y2M0hkw+RRmq8bh9enonuYPqasmjYxhZXz9hRX+zvr5HDtaw3/2PgCq22/RrsmmX3Ii/N+cqS1qsdy6gsrIzCmU7x9MfvR/Wt6eZkKxJfDTa/5MeERwVk89t+635JQfDDju6v4/4JP7HsPtUv3WEbnuVxv4qPybuGL2t7zEVzMRVbaAiTMiWHXo7Ra3paAQaongRwv+ToilfZfsvrnjX+zKX9/kSNC5VEUlISKVeYOvZ8m2J/xuS1VMfHfuH0iMTGvXGI0qqsrlyTU/a5LMNeeuiQ/xwd4XqLJXtFiHRkFhct8FXDXy7o4IVRjUIY3y3nnnXV8iAnD48GHKystJTU1t8W9uueUmPvroY9/fbd++gy++WM8tt9zcml13WWm242TajrT4QQve/jADancx+cyHfkuKqeiEaHZGVK5r/0ANmlC2LOByXYC5p1/zm4g0mnLmA/rW7Q94//SpP0CSPa/1AbcDe42FzW8NaDERAdA9KlUlERz4zNjkwk/+MrbhJ//de45tSuPQ2swWExEAzaOSvyeJgv3Gjjp8un4DKJr/6qGaytbKFzldU+C/7wsaewo2kB/2mv/tqR70iNMsXXnEUIztzePxGEpEAJYe/h8et+K/oJmis+K9Wlzxu/3XGlE91CQuY90R/71kdLxzOXYVrDcUo1E19kp2FbSciID39FFpbRErDr5loJqtzsacFe0aY2tsOL404HwPRVFZevB1Km1lfgvi6ehsOfkZNpdUgO4OWj3zLCw0lIkTJjBr1iz+9Mc/YLPZeP31N5rfuKoyePBg9uzd2+TyXbt2MXxYy0vXrFYrkZGRvn8REcE5SmDEkKpNhqqgaiiEaUZeFDrDqr64+MDaIMl+khDdbqR1BuGeapQAiYgCRHiqA9ZBAe9pqiHVmwzH2p4OfZGO2xH43LKiauxZZqya7JGNRr9ZKoZKjqsmjT1Lje37VMgn/pu7AaganqgcY6XWAawGSpNrKvvPrDUUY3vblrfG8FinqRRdC/Cc1BVq0z8w1ptGV3BqRuYTKewu2GAoRqP2n9qKrgd+/igolNUVBzzi0DjvJRh0XWd34Ua/ybF3nMbpmgJDz12P5uZQO/csEh2j1bN7EpOS+MlPHiY6OobMzAz+9re/U1JS0uzYyMhIrFYrFRVNO8ZWVFQQGxvb4j4e+Pa3eOih77c2tKBoXBkSiO63lNhZ3g96Y5OC21uss9Tw2Pafq64Q7g7O7a6vDEFRdL9HRgB0TaW2rOUZ/efyOE0YvZeMPTOgvsrgue+QSmPjIOCHk3eQsYQJVcNlCk5zt7K6U+2/0bBy7xGmgIy+GnRqndUXE9EF6p21qIqKpvtPPg09zg3sruD0xHFrLjytOA1v5DYpKNQ7jb1Hi+BqdTKSn5/Ptdd9CYDBgwfzzttvouk6zzzz7AVjXS7vDP6QkJAml4eGhuJyOVvcx+NPPMkzzz7n+z0iIoKdO7a1NtROUW+OMjQu0FGERjpQbzK2zfZWaTU+27/x1rRfUqIbvi/bW0SsI2AiAt4jI5EJxiaRmqweNJuCkXvI6MdERKyxNvU4YiH8jMGtqhCopYCRRARAU7F4gjOBNTEivf03Wp/gnawbsOWC0UdQIdIaHXhYK4RbowIeSfDuWTGckIRagrMqyqxaMKsW3JqxlWNGbpOOTrg1sj3CEx3sogoEHDp0iDVrPmfunNnNXm+z2SgvLyftvDklqampFBYWtbhdp9NJbW2t719dXdc953cweoqh/jAqOvUmIy8Khf0xxis6tqfS0N7Y1TAjrTOoM0UT6INWB2pN0X7nizQyoXmXAgfBoBmFmEMCfyPTNZVRl+ca2mb2VKPf1HVDzdg0j8rIRScDjgNId1zhv4Q5gKZiqu5H4A9a75s+TgMfUKrG8KT27Q9j1LisWYbHWj1JKGrgBCzy1NXGetMoOiGqkQ9wndG92ve1PSxtPKqBWc06OgkRqQFPbaiKypheM/yO6SiKojAqc6rf2ijecSop0b0MJVdm1cLg1LEBx4nga1UyEhZ24Szw3r17N6kbkpGeztixY3y/r127jgUL5p/doaoyb9481q4L3iTN9lQc1pe8sEF+541oqByNHMOmhKv8vnw0FOxqOHtjg/NmALAtfqHft6vG+Fcl345TDfXb5VcBNiZeQ07EcL/zRjRUciKGURravr1FjAqNdDP5xqMofo4AKCaN2NQ6hs4uMLTNKx7a3vCTv0dcZ+DUIobMyvf74aiaNLJGnSZzmLFTIJdPn+JNRvwlOarGxIS7SInu5ffNX0FhdOZUsuy3+9+eZkKpS2Hh/AGGYmxvJpOJfglDDY29fPA93kJ2/o746AqXXRuBpXy0/3kjmonossuZkb245TF4VyWFWyMZlTnVUIxGRYXGMrrXdL9JhqqoJEdlcNmQmwJ+gDeuQAmWqf0WBv4ypGssHHIzseFJAZ+7E/vMI8zSdeccirNalYy8/dabfPtb32TOnNlcfvkinn32X2RnD+TJp572jbnllpt55eWXfL//7e//YOjQofzhD79nwYL5PPXUE0RGRjR7Wqe7erfXd6i0pqCddzKmsY5GaUgmH2V8g80Ji9kb4000zv8Q11BxqSG8kfXDoC3rBViXfCPHI0YCLbbOYGvcIg7ETeeNrB/iVqwXJBqNt21n7By2xS/k/YxvUxaS3uz9o6FQZk3j/YwHOuT2GHXZg7sZOK0I0C9IShRVIzzGwT1PrsZkMXaoOzbNxvW/3NzwW/P3ZFxGLXf+43Nu+M0m0rIrvftVmt5DiqoTl1HL7X82Pqmw/4AoZkf/EjTzhR+kHu8Rk97VX+OqxQO5a9JDRIfG+fq8nC8rfiDXjLqXL980g6gzl3kvPH/yp2YCRwy3DP854eHBKzJ175SHiQqN9TtmVMY0Jg0bzR1/XYvJrKGamiaBjUnhjLsPMO7qXL664NuodZne29zkofGuxrFUjuQbX7qR2dnXMKKxf855r21VUQkxh3LvlIcJ8VNFtK2uHnEPveObr02koBIVGsfdk3/IiIxJzBt0vS+m82NUFRO3TniQxMiWV0d2tLSY3tw49usoitpsjACXD7uNwaljuHfyjwi3RjXpVwRn7/8BScNZNPSWzglcXLRW1RmJiYnh3nvvYcyY0bhdbg4fOcKLL75EcXGxb8wtN9/MlVdewR133uW7bPDgwXztq/eTnpFOTk4OTz31L/LyjC/j7Op1RsBb2n3MeRVGKy2JbI+/jJ1x886pwKozpHoT48uXkmnzFilyKqHsjpvF1vhFVFmTg3UTmph45iMmlX1EhKfGN8Gy0pLE50k3cTD27Le7WGcJE8qWMrJyDVbdOw8oPyybbQmLOBQ10VeB1aLZGVvuvX9i3GUAVJnjG+6f+ThNwW+X7nEr7PywL+tfHUTJsTgAwqIdTPzSMabcerhVRcca5e5M5MM/jOfU4TgaT2tZw1yMvfoEV/5ou6/cu9NmYstbA9n4ejYVhd7TeVFJ9Uy5+QiTbzpKaBsqsO7bW8GyrWsoi/kAzE7QFcLKZjC17+XMm3v2KFS9s4aNJ5azKWcldQ0TLBMjUpnSbyETes/BbPJ2fHa7dd7/+CB7yj/EFb/H+8f2GDLt13PVnCn0yuoa30CXbH2Cfac2N5lLEWIKY8GQG5jaf5HvspLj0Wx4dTA7P+qL2+lN0vpNKGba7YcZMqvQN66i3Mk7S7dxgrfRI7zvdWpVXwaHXsf1V4z21VXRdI3dBRvYcGIZhZXe6soh5jDG957NtH6LiA1P7LDb7Pa42HpyNRtzlnOm1nuKMMIaxaS+C5jS9zIiQs7Oxzpyeg/rj3/K0dPex9CkmhmVMYVp/ReTFhOco5PnK6g4wfrjn7K3aDOa7kFBYVDKGKb1X0T/pGG+cTX2SjaeWM7m3FXYXN6JqilRmUztt5CxWbM6tGeRMEZ60wSLrhOq1UHDKRd/Vaosmh2z5sRuikBXuuaLJtRdS4S7kiprIm615W91iu4h1FOHW7WeTbyao+uEat7Z+oHun2Cy15rxuEyERTtRTe3Qm8auUlEUQXi0i6jElpOaxr44uq4QFu1sl7vH6fBQUeEiItLsK13eHE3XsLvqUBSVUHO433oP1VUuHA6NuHgrZnPXfAwr6s9QaSsjNSqDMD+TGD0uBVuNFWuYG2tYy6tS3B6NqgoXqqoQE2vx25vG4bbj9rgItYR36geirus43DY03UOoJcLvaQyXx4nDbSfUEo65i5ZNd3tc2N31hJjD/FZSbXzuqoopaBNwRfM6tDeN8ENRsAeYqJpqO8G48uUMqN2JWXNRaU1iV9w89sZM7xI9Ws5lN0diNweeeKsrJmxmAysFFAV7EE9DGRUa6QYuPvF11JnZ8VFftrw1kIrCCMwhHgbNKGLKzUeazAHRNDjyRTobl2STvzcRXYf0wRVMvvkIQ+cUXFSzPmuIiZTUlj8Q3S6VfSt7sWlJNiXHY1FUnT5jTjP55qMMnHKqSUJ0clciG1/P5uiGNDxulYReNUy+6SijLs9t8kFeeSqczW8OZNcnfaivthIe42TMlTlM/NIxYlPPLh11uu3szP+CzbmrKK8rwaRayE4ZxZS+C8iKH+gbp+twZH0aG1/PJm93ErqmkDqwgsk3H2X4vLxmT5/FhScS5+doRH2llW3v9Wfru/2pLg3DGuZm+Px8Jt90tNmy/2aTSkJiSDNbulCIObRDTskEoiiK4Q9ji8nq9wPe5qxje97nbD35GVW2ciymEIamjWdy3wWddgTFbLIQaQrcJkJVVMKtwVmNJ9qHHBnpZFNL32NW6Zt4UH2rcBofgGpzAq/2+WmXaZYnLk55QQTPf3UelQ2N7xongKomDc2jMv8be5j71X24XSqv/WgaB9f0QjFpvmqsjX1S+o4v5u5/fu73W3tb2Wos/PebcyjYl+jb37kxjro8hxt+vQnVpLP0H6NZ97+hvuu8QeqgQ2LvGu57ZhUxKTYOrUvnlR/MQHMrTYqLKaqGyaJxx1/XkT31FJX1Z3h+/aOU1zetU+Stm6Exe+A1LBhyI5pb5Y2fTWXv8t7N3j9Zo0q554nVDQmkMUWHY/nP1+diqwpp0g9INWnomsLVP9nKpBuO+d1GT1ZSXcC/NzxKraOacyfLND42Vwy/k2nnnPISoiUdUg5eXJzhleuYVert4XPucuDGahSR7gpuPfl7zFrLNVhE9+ByqPz76/OoPh3um+zYqPGDfOXTI9n+QV8++sM4Dn3uLTN/bln4xg/y3B3JvPnzKR0S56s/nE7hgfgm+zs3xt1L+7DiyVFsfC2bdf8b2uQ67x95n73lBZH895tzKDwUyysPzcDjUi+ocqprKm6niZe+O5NTJ8L5z8bHqLRdWGivca7HmqPvsyV3FUv/MYa9K7zfxJu7f/L3JrDk4WmGb3N9pdWbiFRbG+rLNH1sdF3h/d9N5PAXwenPEmx2Vz3/3vAodc4azp983fjYfLzvJfYXbQ1CdKKnkmSks+g600vf8btszYRGrKuUwdWb/YwS3cG+FVlUFEY2/eC+gM7Kp0ey9d3+/vviaCr7V2Vx5mT7HoYu2B/P8c1p/kuj6wobXh3EZ8+13L4BvB/ip0/E8ulfx6Jrfvq+6Aq6pvDpR/mcqT0VsGDXqkPvseGNfn6XFeuaypH1GZw6Eut3W422vd/fe0TEz+1WVI3Vz/u/zT3Vjvx11Dqq/fZ9UVBYfeS9zgtK9HiSjHSSDNsx4lynA9bj1FAYVbmmM0ISHWjbe/0DF9ZCoao4wlDRM9WksePDvu0TXIMdH/a9YGlrc9xOlfpKA/MfFI2cbSkBEjBv4nLM/UmLy4nPVeusQO8VuN+NatLYafD+2fpOfwK1c9E1lbzdSZTlX3rVO7edXEOgqrI6OkVVuZRUG6u7I0Qgkox0kki3sYJVKjrRLqOlvEVXVVkcEbgZWwNFNTZtq6qkfSc3V58OR9OMlME3OK1MVw2V1QcgKs9vp9km+4/ND7xrHapOG7t/qkvDMNrIoPp08Jecd7Yqm/H+QtX24PQiEj2PJCOdxO9y1/M41UvvDbCnCYkwXhfEQNNVUCAkon0nb4eEuw0lGoYTjFY0Y8MReIWEb6v2wEcnFAWsYcbuH6PjAKzh3XvCfFuEmI2tGAKwBmHFkOiZJBnpJHnhg3EqgV/kGgqHoid2QkSiIw2f57/EeyNziMvQERTNrTLEYCl6o4bMLmgyIbRFuoJqNrCSR4H4zJqAt1tRNRLq5htqAW9SLHD8soDjNI/K0DnG7p/h8/MNnJ7SiU6uJy270tA2e5Lh6RMvqGranAhrFJmx/TohInEpkGSkk7jVEHbGzfPby8VbPl5ld+yczgtMdIjx1x3zFkvz1+9G1Zh84zEyh5/x++GomjQSetXQf2Jxi2PaYsisAqIS6wP2xRkw+RRjrszxn2QoOpYQD3O/tjdgcqVrKvMmj8MUoNCWoqiM7z2LvsPtfu8fRdWISalj0PSWm2+ea/JNR72TbP3uHKbedrhdCt51N5P6zA94uE5BYUq/hQEfQyGMkmSkE61NvpHCsIHNJiQaKjoqH2R+i1pLXBCiE+0pOsnOzY9uQFH0Zj/EFVWn14gy5n9zD7f+YT3hsY5mP3BVk4Y13MUdf1vrKx3fXkwWnTv/vhZLqKfFfUcn13PDrzdyxUM7SB1Q2cJt8fZ4uf3P6xhzRS5TbzvUcMV5H2gNv8+4+wCjZ9Vx24QHURVTs9/CFRTSY3qzaNit3PS7DUQl2lq+f8Lc3Pn3tYYTh5T+VVz9f1t9sTflTSAHzyhk2u2HDG2vp0mITOX6MfcDNDvJWEFhQNJwZg68qrNDEz2YFD3rZCbNydQzHzC2YiXhnhrf5TkRw/gi8XoKIgYHMTrR3nJ3JvHZM8M5tvlszYrwGDuTbz7KrHsPYAn1nv6oPh3GqmdGNOmTopo1Ri7MZf7X9xKfWddhMZ7OiWbVv0awb2Uv31ENS6ibcdecYO5X9xIZ7wDAUW9m9XPD2PLWQOy1DZU7FZ1B04uY97W9voqyug47PujH5y8M4Uzu2bkhSX2rmHXvAe9RloZ8PK/8KKsOv+PrkwIQZolgUp/5zM6+2jcnoaYslM+eGc6OD/rhcni/jasmjeEL8pj/9b0k9j77WjLq8BdpfPbccPL3JPkui06uZ+pth5l2+6GLqnrbExw7vY/PDr9Dbvlh32WRITFM7beQGQOukKMiwhDpTdPFqbqbZHseZs1JtTWRakvHNdESwVd5KpyKUxFYQjykZlditjR/2sFeY+H0iRh0HZL6VBMe23kF8GrLQyjLi0JRdVIGVBHSwuRNl0Ol+GgcHpdKXEYtMcm2ZsfpOpw+EUN9pZXwWAfJ/apb7LVTZSujov4MZtVManSWrznf+Rx1ZkqOx6BrCom9a4iIc7Tptp6rLD+S6tNhWMPdpGVXXpKnZvwprztNlb0cqymE1OgsaT4nWkV603RxmmKmOEwmf/V0uq5z/Mx+thWuoay2GIvJyqDcMYzLmkVkSNNePkc3pLLsiVGcORmNrkN8Rh3zvr6H4fOaTsy0uerYkbeOg8XbsbvqiQtPYlzWLLJTRvltjBZIZLzDdxSkJUWHYvnkr2MpPBCP5lGJTLAx7Y5DTL7paJPTSC6Pk72Fm9l9eiN1jioinDGMtk5lePrEJv1QdF0np+wgW0+u4UxNEWaTlUEpoxiXNZuo0KYrbo6X7mfZgSWcrilEB+LKE5mTfS2jMqc2GWevsbDz477s/ywTe62F2NR6xl19gkEzippNNBJ61ZLQq+U3ydaoLQ9h27v9ObIhDZfdTGLvasZfd5x+40931Z6QAcVHJBMf4b+beHF1PltyP6Og4jiKAlnx2UzsPZekqPQOjU3XdfIrjrEl9zNO1xRgUs30TxrGhN5ziAlL6NB9i/YlR0aE6CA2Zx0vbf4LueWHfT09wHvOXVVN3DDm64zKnIKmwTP3Lmg4XaBztgaG9+ekfpU88NpSzFaNwyW7eHXrP3F5nDQupVUUFV3XSIvO4p4pPyYqNLZDbs9bv5jEjg/PTaAVX4zhMXYefPMTopPsnKo6yX83/oFaRxUKCjq67/9RoXHcO+XHpEb3wu6q5+Utf+fEmf0X3D+KonL96K8wNmsmmqbx7w2PklN2sNm44iNSeHD2o1jNoRzblMLLD83EaWv4nqUrvn42yf0ruffJ1cSkNH8k52Lt/LgP7/xqEpqm4r0piq+PT9/xxdz513WERhlf8t0daLrGh3teZHPuiiaPYePPMwdcycKht/jtAN1WLo+TJdue4GDx9vOePyqgc8WIO5nab2G771e0jvSmESKINF3jf5v+xMmKo77fG+noeDQ3b2x/kiOn9/Dfb845Z97CuW/a3p9LT8Tw9N0LyCs/ykub/9okEQF8ZbtLarzNzbzXt69P/jqaHR/2Pycu5Zyfob4qhH/cuJjyujKeX/876hw1vtt67v9rHVU8v/63VNWX89Lmv/oSjPPvH0338NbOZzh4ajsvb/lbi4kIQHldCU9+/gsKD8bxvwdn47KZmvQDaly+fCY3mue/Og+nrf1PMxxal86bP5+Cx602rNTx7ruxGm3ujmRe/O5MNGN13rqNZQeWsDl3BdD0MWz8ee2xjzqsbPzr25/kUPGOC/ato6Gj89HeF9mZv65D9i3anyQjQnSAIyW7yKs46re/B8Cne97k+ObUAFtTOHUono+3v4+uexeAN0fTNU7XFLK3sH17G2kabHh1ME2P2lwYo60qlLeXbsThtrVYXVXXNWyuej498Ao5ZQcD3j+f7H+VQyU7AsZYWlvIh0vq0TUFXW/+bU3zqJTlRbHrkz4Bt9caug7L/jm64Z5p/v7RNZXcHSkGHuvuo8ZeyfrjnwYct+bI+9hc7TsBu7AyhwOntvmS3JYsPfB6wP5HomuQZESIDrA5d1XAwlE6OiV1JyBld+ANxuSRX78zYAl1BcX3TbW9bHp9YMM3/ACH2lUnOdqHAd/8dV1jX9FWQ/NbyuqM11bJS/h7wL44KLDpjWzD2zSi8EA8JcdiA1aqVU0aW94a0K77DqYd+esakmP/3Jqb3QUb2nXfW09+Zuj5U2OvaLJSS3RdkowI0QFKa4oCfuv3STgSeEz8MUOb0tE5U9u+xdGKDsYbGxheBlZjE0E13dP+31hjTgYeoyuU5bVv9+MzBreneVRO5xgvg9/VldUWG5oLoioqZe38nCytCdzxGbzJeXvvW3QMSUaE6AAtLU1tlsdALxC38X4h7V3/wRxioBQ8GLsdHUkzdp+bWlhW3VYms/Htma0G78tuwPs8MzYxtd2fkwa3p6NLPZRuQpIRITrAwOSRhg4jK7oZ8qcF3mDxWFQtcFdaVVEZmDTCSIiGjb0yB0NN8GyxWKoHEegDSkEhMiTGUP8TI/1rGpkKZgUc01jevj31GVNqoNeNt9rrwCntu+9g6p80DE0PnFxpuof+ScPadd8DkkcYfm70SxzarvsWHUOSESE6wKQ+8wIeRlYVlVG9JqM64vH/Ya+DO4wJfeYE/ADXdI3J/QI3lmuNrFFlRCbYA8QIoDBtwMKA43R0Zg64ImD/E1VRGZo23vA328mx9wds0qd5VKbcbOC0WCtEJdoZPj8vcEKiK0y8wdjptu5gSOpYb1LpJylQUIgLT6J/0vB23fe4rJmoAYqvqYpKv8ShHV7rRLQPSUaE6ACJkWlcPuy2Fq9XFZXo0HguH3Yb1/58S8OlzX04ey9b+MBOFg6/lqTINL8JyayBV9Errn+L17fVHX9b21C0q+UYR12ey7xJ4xmUMhp/q26Gpo5nav/LuXLEXS3uT1VUIkNiuGrE3dww5msB45ubfR3z78sndWDz/XMaTbv9EH3HlQbcXmstfmhHi/1zGu+fxT/YQXxGx5X172wm1czN476FoqjNJiQKim/MxRTja064NYrrR9/f4vWqohJiDue60V9p1/2KjiNFz4ToQDvy1rL84JtU28t9lykoDE2bwNUj7/FVGd31SW/e+91EnPVN5z1YQt1c/t2dTL7ZW6/E5qzjo30vsrtgY5ND5BHWaOYOuo7JfRd0SIEpgLy9Cbz83ZnUlodybrKhmjQm33yEK3/oXYLr1tysPPgmm3JW4PScrehqNYUwpd9C5g/+ku9ox+6CDSw78DqVtjO+cQoKQ1LHcdXIu4kJ806e3Ve0hbd3PovD3bRgmVm1sGDIjcwYcAUA9lozH/9lLDs/6ovmNuEryhZrZ/Z9+5l2++EOq4RafTqMD/4wjoNrejXpChyTWsfCB3YzenFux+w4yE6WHeajvS9RWJXT5PJecQO4euQ9ZMT27bB9Hzi1jU/3v3bBqquBySO5ZuS9ASvHio4nvWmE6CI0XeNE6QHK609jMVnonzic6LDmOzPv/yyDg59ngg79JxUz5ormV4jUOqo5dnovTo+DmLB4BiQN77SJerm7Etj5YT9cDhPpQyqYfPNhzM3s2uG2c+T0buqdtURYo8lOHuFrfHcuTdfIOXOQ8roSzCYLfROHEttCKe9DxTvYX7QNHY2+iUMZkzkdtZl2xvWVVo5uTMNRbyY62caAycUt9gNqb1UlYZzYmoLbaSIuo5Z+E0raveNyV1RYmcOpKu/zNTOuH6nRWZ2yX13XOVl+hNLaIkyKiT4JgyUJ6UKkN424JBQfi2HXx32oLQsjNMrJsHn59BlT2qX6gFQXR5L34S2UF3ob5YVMOcXgmc33SRk2t5Bhcwv9bs/udPP6W/vJda1BV21YXMnMGZjEzJkZbY6xvtLKjo/6UnIsFtWk03tUKSMuy/N1FT5Xn9Fl9BldFnCbIeZQRqRPCjiuxl5BXvlRyhqSEYsplKiQ2AsasjndDmod1aiqiqaD3VWPw20jzBpxwTbDY52MutzAUt8OEJNiY8yVuUHZdzBlxPbt0KMgLVEUhT4Jg+iTMKjT9y3ajxwZEd2SrcbCkoencXRDepPz9JpHJXVgBXf8dS3xmcE9P+92qXz4h3Fse2cAKLovQdI8KtHJ9dz2xy/IGnXG/0bO8/Gnx1lv+zWY3E2nbyigVPfiO5f9iuSUC48+tETX4fP/DGXVMyPQ3CqKqvtiDIl0cv0vNjNiQX6rYjTKo3n4ZN/LbMrxFmnznl5S0HQPkSEx3Dr+AfomDgG8p3Pe2/0fHG4bquI9/aLpOibVxILB3tM0HXV6SgjRdtKbRvRYLofKf74+l2ObvKW1NY/q+wfetvX/uucyqkuNfyi3N12Ht34+ma3vDEDXFXStaYw1Z0J5/mtzKTrU/Oma5qxZU8B6xy9AbUjIlXP+AXpUPn9f/UPsduOnI1Y/P4zlT4zG4zKh60qTGB11Fl778XQOrM40vL3WeHf382zMWYHe8J+ma755MHWOav6z4THyK46zt3Azr29/0jdf5GzBNG+Pn6UHXmPtsY86JEYhROeQZER0O7s+7kvhgXh0reUeJPWVIax9IXj1BU7uSmLPsj6+Zm3n0zUVj0vl07+NNrzNFQWPe39oeaEKhJXzwhtrDW2v5kwoq/7lpyZJQ+zv/348mqd9jzoUVJxgR95aWloG3Ngs76O9L/LBnhcCbm/FwTd9zfmEEN2PJCOi29m4JDtg4UfNo7Lt3f647O3fodWIzW8ODFh3QtdUjm9JoywvMuD2DuyvQI8sCFzwUoc869uGYtz+fj8CblBXqCkN58iGNEPbNGpL7qqAyz11dPIrjlHnrA64PV3X2J73eXuFJ4ToZJKMiG5F06DkWGyLRxzO5bRZqCi6cHJjZyjYFx+4aVuDU0cCn6rZvv+4scrbChBaYWi/RYfiDRVWVU1aq04nGVFQedxwbxqjlTaLqnIvIiIhRDBJMiK6FeWcORLG/qCjIgmw29a8spTAGYHaES9VRcdQNgIdsDqpvTeoyARWIboxSUZEt6IokD64PGDZb4DQSCfxGca6yLa3rFHG+pWg6GQMKQ84bNKYAcbyBh2oTzQwEHoNL8NIUqB5VDKHB17K2xq947MNV+XUDdxwHZ3M2PavPCuE6BySjIhuZ8otR1qcvNpIMWlM+NIxzNbOKXR1vsk3HQ14mkY1aWRPKyIuvT7g9gYMjEap7mOkPQz99BsNxTj2qpyACZOiaMSm19J/Yvu2YZ/Ud37A0zSKotI3YQjRoXEESppMqomxWTPaMUIhRGeSZER0O6MW5dJ3fHGLR0dUk0Zsaj2z7jnQyZGdlTmsnIk3HKWl7EFRNSwhHhZ/f6fhbV475LveuTItJSQ6KDXp3HPzFEPbi4hzcPn3Wt6/ouigwHU/39LuFURTo3sxrd8iP/tWMatmrhp5F9eN/kpDKtJyQnLF8DsJswRnfpAQ4uJJMiK6HZNF5+5/fs7IhSdRFB1F1VDNHt+3/N6jS/naf5cTHusMapxXP7yNWfcewGTxoCg6pnNiTOxdw9deWE5y38ArRRpNmJDE5Yl/AHeY9wK96T+1cgj/d83vMJuNv6yn3naEa36yBWu4C2iI0eyNMTLBxt2Pf87Aye17VKTR5cNvZ+6g6zCpZm9TNcXUUNAM4sOT+er0X5AancWglNHcOekhIkOiAVDPGRdiDuO60V9hct/5HRKjEKJzSAVW0a1VFIWzZ2kfastDCYl0MXxeHqkDq4IdVhP1lVZ2fdqHisJILKFuBk45RZ+xbS9Z73ZrvPfxQfafWYVHtRGqpXDlhKsZOTK+zTE6bSb2rsjylYPPGlnKoBlFmMwd//Zgc9axq2A9FfWnMakWBiQNp1/i0AsmpHo0D4eKd5BfcQxN10iNzmJExiQsJmuHxyiEaBtplCdEB6spC+Xgmgxs1VYi4hwMnVNAeEzbj8boOuTuTKJwfwK6DmnZFfSb2HyTtfLCCA6vy8BpMxGTWs/Q2QVYwy7sI9MRiqvzOF56AI/mIiEilUGpYzB3UpM+Ic7n0TwcKdlFae0pTKqJvglDSI/tE+ywRANplCdEB3HUm/ngsfHs/qQPmqagqjqaR+H9Rycw8UvHuPx7O1s9cTZnRxLv/WYipbkxvrkwuqYSl1HL1Q9vZdD0U4C3auo7v57E4S/SARr2rWINczHznoPM/sq+DusQe6b2FG/tfJa88iMoDUtpNV0j3BrFZUNuYmKfuR2zYyFasDN/HZ/uf41aRxWKooKuN6ys6sf1Y75KanSvYIcoDJI5I0K0gstu4t9fm8uuj/t4V8s09HMBBY/LxKbXs3n5+zPwuI2fgzmxLZl/f20eZ05650TomupbLVRRFMGLD87mwOoMastD+Nc9l3F0Q1rDRFbFt2LHabOw8ukRfPDYePQOONZ5praYp9b+koKKY94YG3rJANQ7a3hv979Ze1T6w4jOsylnBW/u+Be1Du9pWV3XfMvAC6ty+dfaX1FSXRDECEVrSDIiRCtsfD3bexqlhaXFuq5wZH0Guz/tY2h7mkfhzZ9NQde8f3vhBhV04K1fTmHFkyOpKg73s2RYYcub2eTuTDK079b4YM8LON02v8txlx1YQkV9abvvW4jz1dir+Gjviy1er+saLs3Ju7ue78SoxMWQZEQIgzQNNr6WHfDIg6JqbHgt29A2j25Io6okwn/dFF3BXmNlxwf9DNUu2bTE2L6NKqsr4VjpXgPl2xW25K5q130L0ZxtJ1ejB3gh6rpGXsVRiqvzOikqcTEkGRHCoJrSMKpKIghUgEvXVIoOJuB2BX555e5M8i2l9UdRNTzuwE3/NI/Kie3JAce1xsmyI4bG6WicOBO82i7i0pFTdshQZV6AXIPPXxFckowIYZDH3bqXi2Zg3oh3m+07yUNrZZwBt6cbX6Xj0TpnRY+4tHkMrqpUUNBkBWa3IMmIEAZFJ9mwhrkMjNSJTq7HEhr4gzm5X5Wh5ME7nyRw0qKoGin927fOSnJUhqFxqqKSGp3VrvsWojkp0b0M9TbS0UmOyuyEiMTFkmRECIPMVo3x1x0P3M9Fhck3HTFU1GzkwpNYwwJ/c1NVnQGTT6EE2LeuqUy66WjgHbdCr7gBJEWmowQ4PaXpGpP6zGvXfQvRnIl95hiYwwSxYYn0SxraCRGJiyXJiBCtMOOug4RGOVtMClSTRkxKHZNuNJYQWMM8XPbt3QHHzb5vP4u+uwuTSffbkydjWBnD5uUb2rdRiqKwePjt/segMCxtAplx0jlXdLzU6CzG9JoRMEFePPwOw92hRXDJoyREK8Sk2Lj/+ZXEJHs77TYmBmd7zlRz//MrCYs2cjrHa8qtR1j0nZ0oqtawPW+zGUXVUBSdWV/ez7yv7yV9UCX3PvUZoVHebSuK3mTfvUeXcu+TqzFb2r9T8aCU0dwy/oELSq83vtEPz5jETeO+eUEJdyE6ynWjv8KYhk7NTRMOBZNq5oYxX2d4+oTgBCdaTcrBC9EGHrfC4XUZ7FmeRX1lCFEJdkYtzmXA5FNtroBaXRrKtncHkL8vAXRIH1zBhOuPEZtW32Scy+7tI3Pw8wyc9WZi0+oZd/UJeo080+Z+N0bZXfXszP+C46X7cWtOEiLTmNB7jlS6FEFzuqaQbSdXc7qmCJNqpm/iEMb1mkmYVbo4dwXSm0Z0Gl3XKa7Oo7L+DBZTCFnxA7CaQy9qm06bibzdibjsZmLT6kjNruzwD9rW8rgV8vYkYquyEhnvIHPEmRYTkeJjMVQURGIO9ZA14gwhEc0/j6vtFZyqOomu66RG9yI2PLEDb0HXcWB/JQVFlVgtZsaMTiYmtus1v6uoL6WkOh9FUUmP6UNUaGywQxKiy+uw3jTp6WlMGD8Bs8XM7t17OHbsmN/xo0ePZvz4cU0uczqdvPjiS63dteiCDpzaxspDbzcpLGQ1hTChz1wWDL6h1UmJ02Zi5VMj2fL2AJw2i+/ylAEVLPjmHobOKWy32NtK8yise3Ew618eTG15mO/ymNQ6Zt17gEk3HvUlToe/SGPFUyMpOpjgG2cJdTP+2uMs+NZuQiO9SUlZXQlL97/GgVPbmtRPGJQymoVDb+mxRx7WfF7A6uNLcCXs9F22fGUoyTXXcdfVC4hPCAlidF6nqk6y9MASjp7e47tMUVSGp01g4dBbiI9o37ouQlyKWnVk5LHHHmXmjJns3r0bj8fDokULeeXVV/nlLx9p8W++850Huefuu/jgww99l9ltdn7/2B8MBylHRrqmzbmreH/3f1BQLihApKCSHtub+6f9zHBC4rSZeP7+eRQejL+gIqmi6Oi6wtX/t4XJN/lPgDuSpsHrP5nK3mW9ubD4mQ4oTLn1MFf+cDs7P+zLW7+cjKJcWOq9cQnuV/+zgmr9JP9a90iz5dZVRcWkmrl/2s/JjOvXobets3348VE2uh7x9tk5f1KuZsJU3Z/vXflwUBOSvPKj/HvDo7g1N3ozj02oJZyvz3iExMjUIEUoRNfWIUdGVn+2hp/85GdomvdFOXHCBN577x0+/XQZmzZtavHvCgoL/SYsovspqy3mg93/BWi2EqKORlHlSVYeeovFw+8wtM2VT49sNhGBsx/mHz42gQGTSkjsXXMR0bfdjg/6tZCI4Lts42uDSB9Uzju/ngQ033NG11RKjsew9J+jyJvywxb7vmi6hu5x88rWv/PDBX/vMSsDThXZ2Oj4Hai699/5VA+e6OP8572P+cF913d+gHgLuL2y5e+4Pa5mn+OarmF31fP6tif41uzfBiFCIXqOVr2zLVu+3JeIAGzZuhWHw0H//v6/scVER3PrLTdz3XXXBhwruofNuSsJNIlDR2NL7mc43faA23PaTGx5e4D/Hi2AoupsfnNgq2JtL7oO618ZHHDuimLS+OzZ4Y2/tbw9TWX79hKKq/P81kzQ0aiylXGkZFfrg+6iPl69ExSP/8r6qofyuA8oPe3otLjOdbB4OzWOSr9lxzVdo7Aqh4KKE50YmRA9z0V9zZo7dw4hISHs2b3H77iwsDAmTZ7E1VddxcoVy/nlL3/hd7zVaiUyMtL3LyJCZkV3NQeLd1xw2Lo5To+DvPLAp1Xy9yXgrLcEHKd5VA6uMVYRtL3VloVSciy2+e6659A9KhVFkQETKwBP7xUoBO45oyomDvWgZCTfsREUA0uQTS62bG/fuilGHSnZbehIlKqoHD69q+MDEqIHa/UE1kbp6Wn8+U9/4vU33mTvvn0tjlu+fDlPPfU0Lpe3NsKUKZN54/UlbN68haVLlzb7Nw98+1s89ND32xqa6AROj/Fvqy7NGXiM3fhT0dmKse3JZQ+cNJxlcOmPpb5hzk0gOm5P4Puxu9BM9YbvIqcrOPPEXJozYIdmLwWXu+c8NkIEQ5uOjCQlJfH6ktc4cOAAP/7xw37HHjx4yJeIAGzcuIl9+/Yzc+aMFv/m8SeeJHvQEN+/MWPHtyVM0YHiw5MDVj9sFBsWeHlqbFqdoW0pqkZ8RsuToDpSZIId1WysEZxq0ox986/sg0bgberQo5b5hrl6gcdYcpecENPB0TQvNizR0HJyTdeI60GPjRDB0OpkJCkpibfefJ28vHzu+8r9OJ2t/0bgcjmJjopq8Xqn00ltba3vX12dsQ8q0Xkm9J4bsIW3gkJaTG/SYgI3T0sdUEX64PIWS5030jWVCV8Kzmoaa5iHUYtOBu5NY9LInl4EeoCXl6KTUHWFsYZfusbYXjNbE26XNr7PHDAFSMJ0UKuzmDQ5pXOCOs+4rJmG+p+YVBMjM6d0QkRC9FytSkYSExN5840lFBQU8uX7voLDceGh+rFjx3DXXXf6fh8wYECT67OzsxkxYgRbtm5tY8iiKxiRMYmEiBS/H6Q6OvMH32B4m/O/sadhnkXzSY5q0ojPrGHkZXnNXt8ZZt5zENWk+0qxn09RNaxhbq74wQ6S+1X6T1x0hcvuK2Rqv4V+96mgMLbXjB5Vz2Lu7CzM5SPA4+eUmwLjY+7GbArOCqLEyDRGZkwJeARwev/FhFlkXpsQF6NVr/LXXn2Z9PR0Nm7cyJ133sFXvnIfX/nKfYwdO8Y3Zs7s2fzfwz/2/f673/6a5597lu9+9zv8+pFf8cH77/L552t57bUl7XcrRKezmKzcN/UnxIV7PyDPfcNWFBUFhetG3ceQ1LGGtzl4ZhHX/XwzikqTRnSNR0vi0uu475lVWEKNnSrpCCn9q7jrH2swh3hQVG8PGS8dFJ3QSBdffno1CZm13v9neZcgn3vEx3sKR+fKH21jxIJ8Fg69xXfU49zkrvHnwaljuXbUfZ1y+zqL2azwzUXfxVw9yHuBds4pm4YEZZDtO1x79eAgRHfWl8Z8lUEpo4HmH5vxveewYMiNwQhNiB6lVUXPfv6zn2K2XPhNZvXqz1mzZg0As2fPZsrkSU2Kms2ZM5uxY8Zgs9nYuWsXGze2XJOkOVL0rOtyeZzsK9rMltzPqKgvxWIKYWjaOCb2mUdCRNsOr5flR7Ll7QEcWJ2Jy2YmLqOWCdcfZ8RlJ7GEtH8TuLaoLQ9h27v92f1pH+qrrUTG2xl7VQ5jrzrRpEme26myb1Uvtr49gLK8KCyhHgbPLGTSjUeb1ErRdZ2T5UfYlLOCvPKj6OhkxPZlct8F9E8c1mMb0NkdGitXnWDHqeU4QnNQtBCS3dO4bNJUBg8NzlyR82m6xvHS/WzKWUFRZQ6KotI7YRCT+84nK25gj31shGgP0ptGdCp7rZnasjAsoW6ik21dro9MRyk5Hk11SThxGbUk9g7OxFohhOiqOqw3jRDnOnU4ls9fGMq+FVloHu+h66S+VUy7/RDjrzve5g62Xd2yx0ey6fVsHHWNDd10wmIczLr3ADPvPhTU2IQQoruRZES02ZH1abz0vZnomuJLRABKc6N577cTObYplVse24Bq6vIH31rl2fvmkbsjhaYTbRVsVSEs/ftYCvYncNsf1wcrPCGE6HZ66PdW0dFqzoTy8kMz8LjVJokI4G18hsK+lVms+9+QoMTXUZY/ObIhEYELq3Z5f9+3Iostb/fv1LiEEKI7k2REtMnWd/vjcZkaEo+WKHzxymA8rp4zgWTjkmxaWnp8rtXPDQ84RgghhJckI6JN9iztjYF6UNSVh5K3p2dUpzxzMhJHrZXAdcwVqkrCcTvl5SWEEEbIu6VoE1u1kQ9lL3uNNfCgbqCqJLwVo5WG+0gIIUQgkoyINolMsGPkdAVARLy9Y4PpJPGZtRi9zaATFtszbrcQQnQ0SUZEm4y9OsfAgRGd2PRaMoeXdUZIHS4uvZ7IeCNJmE5Sn2rMslZNCCEMkWREtMnYq04QFuUM0NhOYfaX9/eoWiOzv7IvwAhvonLZA7s6PBYhhOgpetDHhOhMYVEu7n1qNSER7gsSksa+MtPvPMiE648HI7wOM/XWo4y+Igdv0nH+ERLv79PvPMiwuYWdHZoQQnRbciBZtFnmsHK+89bHbHo9m61v96e+KhRF1Rg45RRTbz1C9tRTwQ6xQ9z0200MmFTMqmdGUFEYifd8lU5S32oWPriLobMlERFCiNaQZKS70HW6YsOXmGQbCx/YzcIHduN2qqhmLeBpGb3hgEIXvDmGjb0ql7FX5aJpYKsxExbl7lGno4Khiz7FhRCdQJKRLizWeZqx5csZUbWOME8tDjWMg9FT2BZ/GWdCewU7vAuYrS3PH/G4FPYs683GJdkUHYoHIG1QBVNuPsLIy09itnSNbrxGFR+LYdOSbPYs6429zkJ4tJMxV+Yw+aYjJGRJwzyjbNUWtr47gM1vDqCyKBKTRWPA5FNMufUIAyYVS3IixCVCuvZ2Uf1qdvGlgr+h6hoqZz+oPago6Hyc/jX2xc4IYoTGOerN/O+BWeTuSEFRNXTNewih8efeY05zz+NrCInoHo/tzo/78NYvJqMoNCmFr5o0FFXn9r+sY/CMoiBG2D2cORnF81+dR01pWMPRMm/moZo0NI/KlFsOc+WPtktCIkQ3ZrRrrxxY7oLiHaf4UsHfMOnuJokIgAkNBZ0ri54ho/5IkCJsnbd/NYmTu5IAfInIuT/n7U7krV9ODkpsrZW3O5G3fjHlguaA4E1MPG6VVx6awemc6CBF2D24nSr/+eYcastC0Rt6GTVqvF83LhnE+lcGBSlCIURnkmSkCxpfvgxF11os46EAGgqTyj7qzLDapCw/kn0rejdJQs6nayr7V2VRlhfZiZG1zdr/DUFRdFossqIr6JrCxteyOzWu7mbfql5UFkVe2GTxPJ//d1iP6m0khGieJCNdja4zonItJvzPoTChkV2zgxBPXScF1ja7PunjW+rrj2LS2PlJ306IqO3stWYOfp4Z8ANU86js+LCfb6KuuNCOD/oFqFHjVVceyvGtqZ0QkRAimCQZ6WLMuhOr7jA0VkEn3FPTwRFdnNqy0IYjCf4pCtSeCe2EiNquriIUXTP2Ld1lN+O0yfzwllSfDvd7tOxcXf15IYS4eJKMdDFuxYKnFQ+LQw3rwGguXkiEC3QDH+A6hES6Oj6gixDaivgUVcMS4unAaLq3sGgHRvv8dPXnhRDi4kky0tUoKkeixgdMSDQUCsIGUG+O6aTA2mbYvIKApzXAe2pj+Lz8Toio7SLiHGSNKg14ekE1aQydU4BqkvM0LRm+IN9Q02dLqJsBk4o7PiAhRFBJMtIFbU1YFHDOiIrOloTFnRRR22UOKyNz2BlUP/NGVJNGxpCybtFQb/odhwKeXtA8KlNvO9xJEXVPY686gTXMjaK0/LxQVJ2JXzrWbZZ8CyHaTpKRLqgwfBArU24HvEdAztX4++b4xRyOmtjpsbWWosBtf/qCyAR7swmJatKIiLdz25+/6Bb1JIbNy2fG3QcALuzJ0/D75d/bQd+xpZ0eW3cSFuXizr+txWTRm3le6CiKTu/Rp6XhoBCXCJlh10VtTVhMuTWNyWUfklV/9lv26dDebE64ggPRU7pN7ezYtHq+9epS1v53KFvf6Y/TZgHAGuZi/HXHmXXvAaIS7UGO0hhFgUXf2UX64ArWvTiEooPxvuuyRp1h1j0HGDxTCp4Z0X9iCd94aRlr/j2MfSt7+Y44RSfbmHLLYabdfthvVV8hRM8hFVi7gUhXORHuamymCKqtScEO56K47CbKCrz1ROIzarGGde9JnhVF4diqQ4iItxOTbAt2ON1WfZWVquJwzCEeEnrVynwbIXoIoxVY5chIN1BriafWEh94YDdgCfWQOqAq2GG0m7j0euLS64MdxkXRNJ2NG4v54uAaaqyHUHQTCdo4FkyYyrDhcW3apr3WzM6P+rHr097UVYQSGW9n9OIcxlyR2+wckPAYJ+Exzou9KUKIbkqSESEuYfV1Hv7+2kvUJq2AeDOYvInCac9xXjn+Kr123MfX7piDqho/JZi3J4EXvj0be63Ve4GuUF4QSd7uRFY8NYp7n1xN5rDyjrg5QohuSiawCnEJe3zJm9QmrPL+YjrniEXDz/kx/+bF17cY3l55QQT/+cZcHHUWb32ZxhozDf1n7DUW/v31uVQUhbfTLRBC9ASSjAhxiTp0oIqqxA8hQN2UI6b/UFtrbK7WFy8Pwe0wtbj8WddUXDYzG1+TBnhCiLMkGRHiErVq6xbwGDhTa61l5erjAYe5XSrb3+9nqHfP1nf7o3m6x2owIUTHk2REiEtUtbsYVAOrmTQLpVWB66bUV1px2Y1NQ3PUWbHXWAyNFUL0fJKMCHGJMhECuoG3AEXDYgqcOLS2F49ZevcIIRpIMiLEJWpA4ghjR0ZUD2OGDgg4LCzaRfrg8oC9exRVo9eI0m5fY0YI0X4kGRHiErVowUCwx4K/XjseE9aycYwalWBom1NvPRywd4+uqUy99UgrIhVC9HSSjAhxiQoPN3NZyv95T9U0l0B4TOCM5vZpXzG8zdFX5jB8wUlQWqqgqjPq8hxGLDzZtqCFED2SJCNCXMJmz87kmvQ/Yq0Y1/QKXSGyfC5fmfB7Bg6KNrw9VYVbfr+B+d/YQ1iMo8l14TF2Lvv2bm787UZUeecRQpxDKrAKcYmbNDmFSZO/y4H9lZw4eQZVVRg+JI2s3m0rTKaadObev5+Zdx8kZ3sy9ZUhhMc56DvuNGaLNL4TQlxIkhEhBABDh8UydFhsu23PbNUYOKW43bYnhOi55GCpEEIIIYJKkhEhhBBCBJUkI0IIIYQIKklGhBBCCBFUkowIIYQQIqgkGRFCCCFEUEkyIoQQQoigkmRECCGEEEElyYgQQgghgkqSESGEEEIElSQjQgghhAgq6U0jOo3mUTj8RTqFB+IByBhazqDpRaimltrNCyGEuBS0KhlRFIWFCxcyZcokLGYLu3bv5u2338Hj8fj9u9TUVO6843YyMjPIycnlf/97kcrKyouJW3QzB9dk8N6jE6gpDUc1eTu3ah6VqEQb1/xkC0PnFAY5QiGEEMHSqtM077/3Dl+6/jry8ws4duwYDz74AG+/9QYWi6XFv8lIT2fZ0k8YPnwYO3bsZMb06Xz6yUfExsZebOyimziwOpOXvz+TmjNhgDcJ0Tzep15NWSgvPzSTfasygxmiEEKIIGrVkZFvfONbFBYV+X5fvmIlWzZvZO6cOSxbvrzZv/ne977L6dOnuffLX0HTNN54403Wf7GO++//Cn/6058vLnrR5bmdKm8/MgkdQFcuHKAroOi8++tJDJ5RhNmqdXaIQgghgqxVR0bOTUQASkpKcDqdfo9yzJ07l08++RRN837I2O12Vqxcwfx5c1sfreh29q/qha0qpPlEpJGuYKsOYd+qXp0XmBBCiC7jolbT3HH7bSiKwoaNG5u9PjQ0lNTUlAuSmIKCQrKyslrcrtVqJTIy0vcvIiLiYsIUQZS3NxHV7H9OEYBq1sjbndgJEQkhhOhq2ryaZuKECfz85z/j0d8/Rn5+frNjQkJCAKirq2tyeX1dne+65jzw7W/x0EPfb2toogvRDZ910dH9HT0RQgjRY7UpGRkzZjQvvvgCzz33PM8882yL4+rq6vB4PBecxomLi6O6urrFv3v8iSd55tnnfL9HRESwc8e2toQqgix1YCWaO/ABOM2tkjqgsuMDEkII0eW0+jTN6NGjefWVl3nppZf5/WN/8DvW7XZz9OgxBg8a1OTywYMHc+jQoRb/zul0Ultb6/t3/pEV0X2MWnQSS2jg0zSWEA+jF+d2fEBCCCG6nFYlIyNHjuS1V72JyO8e/X2zY664YjF/+fOffL+/8+67XH31VaSkpAAwYMAA5s6dw9vvvHsRYYvuIiTCzaLv7Ao4buGDuwiJcHd8QEIIIbqcVp2meenFFzCZTPTq1Yunn3rSd/lHH3/Mxx9/AsDgQYNYvPhyHvrBDwF49tnnmDhxAitXLGPv3n2MGTOaDz/6iLfeersdb4boyqbccgTNo7D0H6O9p2yUhoqruoJq0lj44G6m3nYkuEEKIYQImlYlIz/92c8xqaYLLj927Ljv548+/oQDBw/6fnc6ndx11z2MGDGCjIwMHvn1bzh8+PBFhCy6o2m3H2bMlTns+KAfBQ3l4DOHljP2qhOExzqDHJ0QQohgUtLSM7t8Y5DIyEiOHD7IX/a8gVOTQ/lCCCFEd2BVzTw08iayBw2htra2xXHStVcIIYQQQSXJiBBCCCGCSpIRIYQQQgSVJCNCCCGECCpJRoQQQggRVJKMCCGEECKoJBkRQgghRFBJMiKEEEKIoJJkRAghhBBBJcmIEEIIIYJKkhEhhBBCBJUkI0IIIYQIKklGhBBCCBFUkowIIYQQIqgkGRFCCCFEUEkyIoQQQoigMgc7gNawqt0qXCGEEOKSZvRzu1t8ukdERADwwPDrgxyJEEIIIVorIiKC2traFq9X0tIz9U6Mp81SUlKoq6szPD4iIoKdO7YxZuz4Vv2d6Hjy2HRd8th0XfLYdF3y2PgXERFBSUmJ3zHd4sgIEPCGtKSurs5vNiaCRx6brksem65LHpuuSx6b5hm5T2QCqxBCCCGCSpIRIYQQQgRVj01GnE4nf/nLX3E6ncEORZxHHpuuSx6brksem65LHpuL120msAohhBCiZ+qxR0aEEEII0T1IMiKEEEKIoJJkRAghhBBB1W3qjLTFyJEj6dunD+s3bODMmTPBDueSd9VVV6IqTfPfvfv2cuJETpAiEucbOnQImRmZ7N+/n8KiomCHc8kbMmQw2QOzm73ugw8/RNdlyl+wDR06hF6Zvaiqrmb3rl3Y7PZgh9Qt9dhkpE+fPrzy8oskJCRw8y23sm7dF8EO6ZL35BOPs2XLVkpLS32XVddUSzLSBSQlJfH8c8/Qq1cWO3fupF+/vrzxxps8/a9ngh3aJW1Q9iAWLrysyWWTJk1CVRU++PDDIEUlAKKjo3n5pf+RlZXFzp27yOyVSVpqKl/7+jdYv35DsMPrdnpkMmKxWHj6qSd56qmn+fnPfxbscMQ5nnjyKdasWRPsMMR5/vOf53HYHUybNh2b3Y6iKMybNzfYYV3y3nv/fd57/33f7yEhIezcsY2XXnpZjooE2V133Um//v2ZOnU61dXVADz15BP86le/ZMGChUGOrvvpkXNGfvKT/+PosaNNXsSiaxgyeBCLFi5k6NAhKIoS7HAEMGPGdMaNHcuvfvWI7xCzruusXLkqyJGJ8y1efDnR0dG8tuT1YIdyyQuxWqmqrPIlIgB5+flYLZYgRtV99bgjI3PnzmHRwstYcNkioqIigx2OOIeu69xwww0UFhUyetQoCguL+NrXv0FeXl6wQ7ukTZ40ibKyMg4dPszUqVOwWkM4ePBgm/tBiY5z6623sH7DBnJzc4MdyiXvvy/8j1mzZvLkE4/z+dq1ZGZkcO01V/OjHz0c7NC6pR6VjCQnJ/OXP/+Jr33tG9TW1koy0sXcc++XWb16DQCRkZG8+spLPP7Pv3PNtdcHN7BLXEJiArW1tbz37jvY7XY8Hjfjx0/gb3//O0888WSwwxMNsrKymDplCt/61gPBDkXgbf62bfsOrrryCiIiIsjMzCQvP5/8gvxgh9Yt9ahk5Oc/+yk5ObmkpaVxzdVXExsXC8CUKVNwudxs2rQpuAFe4hoTEfC+kJ96+hn+8+/niI2NpbKyMmhxXeocDge9e/fmH/94nCWvew//X375Ip579hlWr17N/v0HghyhALjllpuprKzk06VLgx2KAH70wx9wxeLLmTf/Mt+pmscee5SXX3qJGTNnoWlakCPsXnrUnJHDhw9TUlLCokULWbRoIbNnzQJgwoTxjB83NsjRifPV1tYAkJAQH+RILm0nc08C8PEnn/guW7ZsOZqmMWL4iGCFJc6hqio33XQjb771tvQ/6SImT57M2rXrmswZ+fjjT+jbtw/p6elBjKx76lFHRp548qkmv6elpbJw4WX885+Py9LeIEtMTLyg1sviyy+nvKKC3IYPQxEcK1d9xiOP/IoBA/qzc+cugP9v7/5ZEojjOI5/hnsAToVxBYb6DGqTJEG3Wips7Q/UHD2EaoigGvT6M9cQarXVUF01uTiLm4JNRY7CHbQ01Nb2Pe39Gm/6jG+4H7+fJhMJOY6jLneNREI2O6OxeFwXF5fWU/Ct+9ZVKpX89S2VTCoIgl/XF+BvhipGEF3T01Pa3NzQ3d29Pt7flclkVCjktbW1rTAMref9a+12W+WypxOvrNOzc4VBoJXVFfn+s15eifgoWC4WVa/X1Wq1rKfgW6nkqVq5kueV9PToa3xiXOtrqyqVPfX7fet5A2eoX+2NxWLa293R4dGxms2m9Zx/L51Oa35+TqMjI2p3OqrVrtXpcNgrKgr5vHK5WQVhqEajoUqlyn/vCHAcRwcH+7q5udXDw6P1HPzguq6WFhfkuq4+ez35/rN837eeNZCGOkYAAED0DdUBVgAAMHiIEQAAYIoYAQAApogRAABgihgBAACmiBEAAGCKGAEAAKaIEQAAYIoYAQAApogRAABgihgBAACmiBEAAGDqC93KwiGFPNHcAAAAAElFTkSuQmCC" 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" }, "metadata": {}, "output_type": "display_data" @@ -1426,311 +217,10 @@ "name": "stdout", "output_type": "stream", "text": [ - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.29 = -1.0 * 2.9 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.43 = -1.0 * 4.3 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.58 = -1.0 * 5.8 * 0.1\n", - "-0.40 = -1.0 * 4.0 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.41 = -1.0 * 4.1 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.42 = -1.0 * 4.2 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.45 = -1.0 * 4.5 * 0.1\n", - "-0.23 = -1.0 * 2.3 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.53 = -1.0 * 5.3 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 7.0 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.9 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 6.5 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 4.9 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.2 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.0 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.8 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.4 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 3.4 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.1 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.71 = 1.0 * 7.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.76 = 1.0 * 7.6 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.49 = 1.0 * 4.9 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.73 = 1.0 * 7.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.36 = 1.0 * 3.6 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.57 = 1.0 * 5.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.22 = 1.0 * 2.2 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.56 = 1.0 * 5.6 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.74 = 1.0 * 7.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.79 = 1.0 * 7.9 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.59 = 1.0 * 5.9 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "5.689999999999995\n", - "#5 err:0.6666666666666666\n", - "[[ 0.28677805]\n", - " [28.37017307]]\n", - "[[0.]]\n" + "#99 err:1.25\n", + "[[25.38677805]\n", + " [25.02017307]]\n", + "[[-50.2]]\n" ] }, { @@ -1738,6765 +228,26 @@ "text/plain": [ "
" ], - "image/png": 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" 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" }, "metadata": {}, "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.29 = -1.0 * 2.9 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.43 = -1.0 * 4.3 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.58 = -1.0 * 5.8 * 0.1\n", - "-0.40 = -1.0 * 4.0 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.41 = -1.0 * 4.1 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.42 = -1.0 * 4.2 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.45 = -1.0 * 4.5 * 0.1\n", - "-0.23 = -1.0 * 2.3 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.53 = -1.0 * 5.3 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 7.0 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.9 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 6.5 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 4.9 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.2 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.0 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.8 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.4 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 3.4 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.1 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.71 = 1.0 * 7.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.76 = 1.0 * 7.6 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.49 = 1.0 * 4.9 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.73 = 1.0 * 7.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.36 = 1.0 * 3.6 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.57 = 1.0 * 5.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.22 = 1.0 * 2.2 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.56 = 1.0 * 5.6 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.74 = 1.0 * 7.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.79 = 1.0 * 7.9 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.59 = 1.0 * 5.9 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "5.689999999999995\n", - "#6 err:0.6666666666666666\n", - "[[ 0.28677805]\n", - " [34.06017307]]\n", - "[[0.]]\n" - ] - }, - { - "data": { - "text/plain": [ - "
" - ], - "image/png": 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HPBTg8+QbOiMkIYS4pEgyIoSq8kXS9UDLJ2F0oNSawfGocZ0WlhBCXCokGREC2Jh0LRsSrwa8icf5/05be/Gffr8NXoBCCNGDSQVWIRqsTb6ZLfGXM7fkNXrXH0TRNaosSaxOuZmi8OxghyeEED2WJCOiS0q25TK99B1CNBslIVl8lnwzmKwdvl+7OZpPMr7W4ftpSayzhDTbCRR0SkJ7S/8ZIQLQdZ2iqlxKa4swKWay4gcSExZ/Udt0uh0cP7Mfu6ueyJBo+iUOxaTKx2VHkntXdCmJtpPcmfsbQnSbb4VLn/oDTKxYysnwobzW56dBja+jJNoLmF/yIn3r9je5PD8sm1Wpd3AqrH+QIhOi6zp6eg+f7n+N4uo832UKCkPTxnPFiDuJDUto1fbcHhcrD73NppzlOD0O3+UR1ihmDryK6f0XoyhG1t6J1pI5I6LLSLDl85WcnzRJRM7Vp/4A9x/9YafH1dGS7bncnftLetcdvOC6DNtR7sj9NZl1h4IQmRBd197Czbyw8Y8UVzftHq+jc7B4O099/nMq688Y3p5Hc/Pi5r+w7thHTRIRgDpnDZ/uf5X39/wXXZdaQx1BkhHRZdyR550g2lwi0nhZoquIMeXLOy2mDqfrXFPwJGbN2WzxNRUdVfdwXeE/UXRPEAIUouuxOet4c8fT6L4p5k1puka9s4Z3dz1veJubclZwrHRfwzabtyV3FUdO725LyCIASUZElxDjLCbMUxuw+JgOzDz9dmeE1Cl61R8i0Vnktwqsik6ku4qBNTs6MTIhuq4d+Wtxa26/YzRd42jpXspqiwNuT9M1NpxYRqAKy6qisuH40taEKgySZER0CZPPfGSoCqoChGm1HR1Op+lbtxePgZehBxN96/Z0QkRCdH1HTu/BaGuGY2f2BxxTWX+GivrSgOM0XePYmf1yqqYDSDIiugSrZg92CEFh1pw0f2LqfDpmzdXR4QjRLbg8TkPjFBTcnsCvG3crXlu6rqHprelnJYyQZER0CXnhQwyN0wGtBz1tK60phhr1KQ1jhRCQGJmKqgR+H9DRSYhIDjguOjQOVTEZ2nd0aBwm1dhYYVzPeVcX3dru+HloKIb6wxhNXLqDAzFT8Rh4E1TQ2RM7sxMiEqLrm5A1x9DRiQhrNAOTRwUcF2oJZ0TG5IAJjoLCxD7zDMcpjJNkRHQZu2NnAf77w+jA++nf6qyQOpzdFMGmhKv8JmE6Cjvi5lJjaV3NBCF6qsy4/mQnj0IJkDxcNvQmw0cxZg+8GlUxobRw2lRRVCJCoiUZ6SCSjIguY2n6/ZyIGAE0TUjO/fnVXj/GZo3p1Lg62rqk69kWdxlAk8msjT/vi5nGytS7ghKbEF2RoijcOuFB+icOA2hyRKMxQVk49BYm9J5jeJsp0ZncM+VHWM0hnDuPqzE5iQqJ4SvTfkpkSHQ73AJxPiUtPbPLTwuOjIzkyOGD/GXPGzgDLOcS3V9W7T4Wn/o3Ma5SFHQ8mDgeOZr3M76BxxQW7PA6TLL9JGMqVpJZfwQFnaLQ/uyMny/VV4Voga7rnDhzgM25qzhdU4CqmBiQNJxJfeeTENG2OVY2Vx0789axu3AjNlcd0aFxjO01gxEZk7F0QkuKnsaqmnlo5E1kDxpCbW3LKyElGRFdk66R4DyFRXNSbYmn3nzxR0NCPHXEOk+jKSbKrWl4VEuz41TdTbzjFCbdTZU1Cbsp8qL3LYQQlyKjyYj0phFdiqJ7GF++jAllS4lxlwHe0zTHI0axIek6CsMHtnqbcY5ipp15l6FVGzHhrWJqUyPYGTePjYlX4TSFA2DR7Ew+8xFjK1YS7qkBvCt3DkZPYn3StZSFZLbPjRRCCNGEJCOiy1B1N1/K/xv9a3c1uVzBWxysX91e3st8gMPREw1vM9WWw20nf4tZc2I6ZwltmFbH5LKPGFiznZf7/gINldtP/o5ke16TpbYqGoOrNzOwZjtLev8fheHZF3szhRBCnEcmsIouY8qZD+hfuxuFC8uAmdBQ0Lim4AmiXGWGtqfqbm7M/xOW8xIR3/V4TwUtKvo384tfuiAROXffZt3FjXl/xqw5LrheCCHExZFkRHQJqu5mfPkyv5VGvEmKzpiKzwxtc1D1ViLdVQH6vmgMqtnK8KovAvaHCdXqGFq10dC+hRBCGCfJiOgS0uuPEe4J3HOm8bSJEdk1W9EMlFpX0Js9cnI+HYVBNVsN7VsIIYRxkoyILiFUqzc8NsRjbGyIx4ZqoJmWjmIgFWk4OmJw30IIIYyTZER0CbXmOEPjdKDWYmxsrSXOUEdcBd3QC0FDpdrgvoUQQhgnyYjoEopD+1BmTTXUFLyxbHwg+2KmGTr94las2JXQgONUNPbFSH8YIYRob5KMiK5BUVifeJ3fGR4aKvWmaPbFTDe0ybzwoRSF9vN7dEQHtsYvZHPilX4TIQ2V0yGZnIgcaWjfQgghjJNkRHQZ+2OnszbpBqBpjxYd0FCwmSJ5rff/+YqUBaQovJn1A8qtab5tNNIatn8gegprk29kQ+I17I6Z1ey+daDSmswbWT9CN9C2XAghROtI0TPRpaxPuo7ciGGMK1/OgNqdmDUnNZZ4dsXNZVfsXGzmqFZtr94cwwv9fsPwqi8YV76CBEcRmqKSHz6Y7fGXcSxyDCjeJOXT9Ps5HDOJcWXL6F1/EFX3UG5NZWf8fPbGzMDZg/viCCFEMEky0pPoOmbdhaaoaErXfWhNmgugxd4wheHZ7Vrp1K2GsCtuHrviArT+VhRORI7iROSodtu3EF2Vpmu4PU4sphAUJfASeCE6Utf9xBKGhblrGFOxkrEVK4lyVwJQGNqfbQkLORg9pUucWjBrTkZWrmF8+XISnKcAKLOmsj1+IbtjZ+FWQ4IcoRCXhpwzB1l/YhkHi7ej6xoWk5WxvWYytd9CkqLSgx2euERJMtLNxTpLuD33N0S6K5tUL02zn+CawqcYXL2F9zIfCOqRkhBPHbeefJRUe26Ty+OdxSwo/h8jKz/ntd4/wW6KCE6AQlwi1h79kKUHlqAqKrruXWnm8jjZevIztuWt4Y6J32NQyujgBikuScH/yizaTNE93HzyD0S4q1DRm6xEaSz2lV2znZmn3wxOgA2uKnyKFHveBT1nGn9PtudxVcGTwQlOiEvEwVPbWXpgCeA9RXMuTdfwaG5e3vI3yutOByM8cYmTZKQbG1C7k3hXid9aGgo648qXY/XYOjGys+IdRQys3RWwP8yAut0kOAo7MTIhLi2fH/0QJUB7BE3X2Jy7spMiEuIsSUa6sWGV631LVP2x6k4G1O7shIguNKxqg6EYNVSGVW3ohIiEuPRU2srIqziKHqCsoK5r7Mhb20lRCXGWJCPdWKCOtI00FMLd1Z0Q0YXCPTXnnUBqnh7EGIXo6eocxl9b9c7ADSuFaG+SjHRj9aZIQ11pVfSgTQ61q+FgqMi7jk0msArRIcIsxl9bIRappyM6nyQj3dihmMmGutK6FTPHosZ0QkQXOhgzyVB/GBMah6IndUJEQlx64sKTSIvOCjhnRFVURmVM7aSohDhLkpFu7HDUBGrMsX7nZGgo7ImZhd0U2YmRnXU6tA95YYP89ofRUCkIy6YkrG8nRibEpUNRFGYMuDLwnBFgct8FnROUEOeQZKQb86gW3sj6EQ419IKExNtTRaEwLJtVqbcHJ8AG72U+QLUlsdmkSUOlypLAu5kPBiEyIS4dozKnMq3f5QAo570WVUVFQeHGMV8nJTozGOGJS5wUPevmTof25j/9HmVS2SeMrFyDVXcCUGVJZFv8InbEzW+x7HpnqbPE8UK/3zChbCljK1YQ7vFOkKs3RbIzbj5bEi4P2pEbIS4ViqKwePjtZCUM5Itjn5Bfccx7OQqDU8cxc8AVZMUPDHKU4lKlpKVnGpldGFSRkZEcOXyQv+x5A6fmDnY4XZZJcxLprkRTTNSY46ALlIE/n6q7iXRVAFBrievSPXSE6MlqHdU43DYirFGEWgx2whailayqmYdG3kT2oCHU1ra8UqtTPglMJlOT33VdR9MCT2oUreNRrVRZk4MdRvM0jYnlnzKh7BMiPVUA1Jli2JqwiM3xV4B6NnHqU7OXOaeXkOTIQ0HHpVg5FD2Jz1JuxW6O9o0L8dQxonIdIys/J8JdhcMUzsHoyeyMm0utJb5Db06Eu5LRFasZWrWBUE8d9eZo9sbMYG/szFZ3FhYiGCJDookMiQ48UIhO0KojI6mpqTz4wLe57LIFxMXFk5OTwzPPPsubb77V4t985zsP8uMf/RC3++wRjerqaoaPMN4ZVY6MdG9mzc5Xj/2QGHc5OmdLwjf+XG2O45kBf8athnJVwZMMq/YWPzt3HHjnl7za+ycURAwhxZbDLXmPEeapg3MqmWioaIrKe5kPcDRqfIfcnr61e/hS/l8x6W6Uhn03ztFxqmG8nvUjisLlcLcQQhg9MtKq4/i33XoLO3ftYtHlVzBs+Aiee+55/vqXPzNnzmy/f7d9xw6yevf1/WtNIiK6v3tO/IJodzlwYW8agCh3Bfee+DkzTr/B8OoNLfawUdG47eSjxNvzufXk7wn11PuSgUYqGibdzXX5/yTVdqLdb0uSPY8b8v+CSXc36QfkjU/Hqtm4Je8PRLvOtPu+hRCip2pVMvLXv/2dN998izNnzmC323n9jTcoLi5mzOjRHRSe6O5SbCdIdBb6rW6gAAnOIiad+cjvwsPGhOSawqcJ0WwtVp/17ktnypkP2hp2iyaVfYSiay3Wd1HRsWgOxpUvb/d9CyFET9WmGY4mk4moqChuveVmYmJiWL58hd/xw4YO5fixoxzYv5dXX3mZYcOGtilY0f3MOt3yKbzzWfAYqCcLKY6TAcvgm9DIrtlGmLvG8P4DsWh2hlZtCljETUVjdMVnoHf5ueFCCNEltHoCa3Z2NitXLMNsNmOz2fnhj37Evv37WxxfUlzCg9/5LqtXryEmJpqHH/4x77z9FnPnLaCwsPkurVarFavV6vs9IkLKhHdX0e6ydt2ekWSlkYpOhLuy3SaURrirMeExNDZUs2HRHbiU0HbZtxBC9GStTkaOHDlCVu++hIeHc/VVV/HXv/yZ+rp6li5b1uz4Ja+/7vu5rq6O73//B2zatIHbbruVP/3pz83+zQPf/hYPPfT91oYmuiCXYg08qJXOnQQbiFsNabf9ulTjt0UH3Epw67sIIUR30eZCFPX19Sx5/XVWrfqM22+/zfDfud1uTpw4Qd8+fVoc8/gTT5I9aIjv35ixHbMqQnS8AzGTDSUOjStSAtHxNt/zV14evGXwyy0pVFqSDGzVmDpTDCUhWQGbE2qonIgYga6Y/I4TQgjhddFVsaxWK5p+9hy6oiioasubtVgsDOg/gOLi4hbHOJ1Oamtrff/q6uouNkwRJFvjLseNyW+ioQNuTJyy9jGUkGxIuCbgvA0Fna0Ji0BpzYmdABSFrQmLAjYnVNHYHr+o/fYrhBA9XKuSkX8//xxTpkwmJiaGlJQUvvH1rzF79iyWLDl7Kub73/su+/ft8f3+/HPPMm3aVGJiYujbtw+P//MfREVF8vIrr7TfrRBdl+qt+QHNH/lovOz9zG/zep8f41RC/I7bHzONLUlXsj7xGr/bPBI1np1x8y8u9mbsjZnBvuipDXVFmo9xS/zlHI+U5etCCGFUq+aMPPX003znOw8ydswYXC4XR44c4c677mHNmjW+MZqm4fGcneT35FNP8b3vfZexY8Zgs9nYuWsXi6+4ihMnctrtRoiu7Wj0BJb0epgrTj1DlLuiSTGzGlMcn6R/lZyokQA8NfDv3JT3Z9Ltx5ucDHErVjYnLGZd8o0ArE2+iQprKlNL3yPeVeIbV2eKZmvCIjYlXIneEeXwFZUPM75BSVgfJpZ9QpS70ndVlSWJjYlXsyt2TvsekRFCiB5OetOITpVky2VA7S4AjkWOpjSsT7PjQt21DK9aR6injpLQ3hyNntD8BnWdVHsOke5K7KYIisL6d1q/G0X3kG47TpinljpzDKdC+3bJfkBCCBEsXao3jeh4ifZ8RleuJtFRiEcxczJ86EX1STFrdmaXvM6gmq1YNAcOUwS7YmezMeFKUNv2tEmvP8LcktdIcBQB0L92N5+l3EpReHaTcRbNzqCaLfSuO4hFsxPlrqDeHENh2MCmRxx0jb51+xhe9QWRrgpspkgOR0/kcPSENickMc4SFhS/RJrtOKruocaSwLqk65tNhnTFROF5sXdXZ05GseXtARQfjUU1afQZU8q4a08QlWBv0/Y8modDxTvYU7SJOkc1kSExjMqYwqDUMajnJWyFlTlsO7mGM7WnsJisDEgewdheM6R5mxCXEDky0s2pupvFRc8xouoLPKiY0Hx9UjTFxNK0L7M3dlartjmkcgNXFz2Fiu5bRtv4f5di4eXeP6M4fIDxDWoat5/8Hb1sh4ALe87khw3ild4/A1WlT+1eri/4B1bNho6Ciu67XbnhQ3mn13dxmCKIcpVxU96fSHbk+67XGsbXmmN5o9cPKAnr26rbvajoeUZXrvb9fu7trjQn8u9+v8dp7lkfkJpH4cM/jmPzG9moJg3NowI6igqKorP4+zuYetuRVm2ztKaIFzb9kYr6UhRFRdcbHxmNhIgU7p78IxIjU3G6Hbyx/SkOFG9DVdRzJsIrWEwWbhz7DYanT2z32yyE6Dwd0ptGdD1XFD3LsKr1AL4VJo19Uky6myuLnmVQ9RbD2+tVd4Brip5EaUgVzu29AmDWXdyV+2sincaLmd2c/0eybIda7DmTZTvMLXl/IL3+GDfl/QmLZvfdhnNvV1b9IW7K+xMh7hpuy/0diY7CJtc3jg93V3Pbyd8R6yzBqNklrzGmIRE5N87G/8e4z3Dfif8zvL3u4uO/jGXzm96mft5EBEBB1xQ0j8pHfxrPtnf7Gd5etb2CZ9f/hiqb9/mhNyQYesNjVFFfynNf/IYaeyWvbfsnB4t3ePetn7s6SsflcfHa1n9y9PQehBA9nyQj3Viy/STDq9a3uNS08Zv9vJJXQPe/FLbRolP/8f1tS9tU8bCw+H+GthftLKVv3d6A4/rU72NeyUso6H76vmhk2o4yr+RV4lynWywJr6Jh0RzGe9NobiaWfeK3mJoCxLrPMLhqg7FtdgMVRRFsXJINur/Jtjqf/mMMbpext4oNx5dS76w9L7k4S9M1ah3VLN3/GodLdvmSlOb2qwOf7H8VXcrqC9HjSTLSjY2u+Cxg8S8FiHGdoXfdgYDbC3dXkeA8ZahIWf/anYZinFvyqqFxAJm2YwF7znhQGVK9iUAl0kxoDK/6AqvHFnC/E8uXYQpYysy7x+ln3g+4ve5i67v9UZRAH/QKtqoQDq7JCLg9j+Zhy8nPfEdDWqKjsadoE4qBe7ykOp/CSll5J0RPJ8lIN5boKAhY/Au81UgTnc33ATpXmu24oUREwfthrxqYv5PgPGVgi8aZ0LDoTkNxmnU30a7Ap5PSbMcNFVtTgCgD2+suSk9Eo/s9KuKlmjVOn4gJOK7eWYPdVW9o3x7N3XDsI7DS2sDPXSFE9ybJSDemKWaDH6I6GoFLk7tb0UdGx1v2PBAjYzqSZqAku2ZwdVDjxOCeQjXrBo6MeJsPm8yBk161g8rfq520VFsIETySjHRjeeFDDH04KkBexOCA4/LDs9F8U1dbpgMONQz8lP1vlBM5wvDRFiOJiweVOlOMobF1pmgqrMkBxx2INtY/B6A4tHUrdLqyvuNOGzoyontU+o47HXBcuDWSxIjUgOMUFMKtkSgGarIoKPSOHxhwnBCie5NkpBvbFTcnYDKioZIXPoiykMyA29NUKyfDhwYcpwC7YmcbinFt0pcCJjjeoywK+2KmBkwyTGhsTlgccG6JhsL2+AWGmtUdjxqLXQ0zdJRpVertBkZ1D6MX52AJ8eBv/o2iaiT3ryRr1JmA21MUhSn9FgYcp6Mzrf/lAeeWKIrKoJQxxIYnBtymEKJ7k2SkG6s3x7Ai9W6g+Y8TDRWXGsLStPsMb/O9zG/jUqwtfjzpQLU5jtXJtxjanqZaWZN8c4sxNl62NukGVqfcRo05zu+k3E0JV7AlYTEHoie1mIhpqJwO7c2WhMWGYgR4P+PbAWM8GD2Z0tDehrfZ1YVGurn+F5sb1jJfeMsVVcNk0bjhkU2Gq9tP6DOXvglDWpycqqAwIGk4MwdcycIhN7e4HVVRCbNEcNXIu4ztWAjRrUky0s3tjJ/PBxnfpNYcC3g/iBs/pIvC+vO/vr+iLCTwSohGdnM0z/T/M5WWZF8zuHP/FYX25+kBf21VFdbNiVexMuUOPA0Ff89tMufBxKqU29iYdC315hj+1/cRciJH+sY0Himxq+GsSrmN1cm3gqLyQca32JRwJa6GeS5aw4JgDZUDMVN4pfdPcamhhmM8ETWaN3s9hFMJvSBGHYUdsfN4v6HhX08y6vKT3PGXdcSmejtjK6rmm0eSll3J1/6zgsxh5Ya3Z1bN3DPlR0zoPdc3h6TxdIxJMTOxz3zumvQDTKqZWdlXc+2o+wi3Rp0zzvvc7ZMwmG/O/DVx4UntdVOFEF2YVGDtIRTdQ7/aPcQ7T6EpJvLCh1AamnVR20yyn2Ri2SeEeeqoNcfxReK11FoT2r5BTWNsxUr61O0DIDdiODvi5jc79yTGeZp+tXuw6A6qLYkcjRyDR71wgq3VU092zXbC3dU4TGEcixpLXUNi1lbZ1VsYWrUBk+6hJLQ3GxKvRmtm3z2JpsHxLamUHItBVXWyRp1pVRLSnHpnDQdP7aDeVUu4NZIhqeMIt0ZeMM6juTlcsovyutOYVDP9k4aTHJV+UfsWQnQN0pvmEqMrJo5HjeE4Y9ptm6Whvfk44xvttj0TbhzmCKoaJpU6TOGYcOPhvA96XSfKVU606wxW3QFAqFZPXTMJgdMUzr7YGe0WI8CR6Ikcib60ypCrKgycXMzAycXtts1waxTjegduRVBR5mHnOpWyehWzouLooxE/XcNs6joHbmsd1Szbv4SiqlwURaFPwmDmD7mRULPxo29CiJZJMiI6xdCqDVx26r+EafV4GpYZm/BwWfH/WJ52D/tjpgGQ4CjguoLHSXIU+MYpaMwpWcKOuHmsSr2j07ryio7l9mg8/+pa8iJeAIsHok2ATkGlm5Wv9OX6Yd9l7LjgT159Y/tT7CpY3+SyoqpcNpxYyqyBV7NwaMtzX4QQxsi7uuhwQ6vWc03hU745GCY8vutCtHquLnwKdJ3C8IHcmfMIIZr9gnGgM65iJWGeWj7I+BaGZ1SKLuupF5dRHPfyOTX4z66u0aLyeCvnYczmPzJyVHxQ4gNYsu0J9hRubPH6z49+gILCZUNv6sSohOh5us5xUNEjmTQnC0+90GLfl8b+OZcVv8Cc4lexavYWl+0q6Ayr3khWfeDS9qJr27unguL4l5t/UgCoHjA5eW+b8XYC7a2ivtRvItLo86Mf4HQ7OyEiIXouSUZEhxpSvZlQrd5vNRQFCNVsZNduD1je3oPK2PKV7Rqj6Hyrtq8HT4ADs6oHe+JGDh+q6pygzvPJvlcMjdPRWX3k3Q6ORoieTZIR0aHS7Cd8cz/80VBb7NZ7LhMaGbZj7RGaCKJyZS+YjK2MO3Ss/SbVtkZRVa7hsTllhzouECEuAZKMiG4ncMF60fX1sMdQ72G3R4hOJsmI6FDFoX1Qm0xEbZ6CZqD/sPc0TVFY/4sPTARVrDYs8GmaBgP7pnRwNM1LjTZepydL+ucIcVEkGREd6mD0ZJxqaMDeNC4llGORow31ptkRt6BdYxSdb+6Y6YFP02gmQsomMnRYbKfEdL7Fw4z2IVKYP/hLHRqLED2dJCOiQ7nVEFak3uVbNXO+xlU2K1PvYHXK7bhUa4sJiYbC4ajx5EYM68CIRWcYPSaBhLIboaWuwZoKmpmrRgWvMWFCZApDUscFHDet3yKsUvxMiIsiyYjocHtjZ/Fx2v24lBB0vP1oPJgajoiE8EnafeyOm0N5SDov9/k5VRZvoSvvONXXb2dvzExvQzupMdIjPHDH1aRV3gmayZt8eMy+UzdKfQpXp/8+6EXPbp/wXYamjm/x+sl9F3DFiDs6MSIheibpTSM6jUWzM7RqA6n2HACKQ/tyIGbqhQ3tdI2+dfvoX7sLi+btTbM3ZjrVVmma1hMVFdpY9vluKuwlmBQLgzOGMG9uH8zmrpN0Vtaf4dP9r1FcnYeiKGTFDWTRsFub7bUjhDhLetN0cVGuMvrU7cOsuaiyJpETMRxdCbwEtkW6Rlb9IRIcRXgUM/kRg6mwpjY7tG/NHoZWb8CkuykMG8D2uMuabVbX3lxqKMWhfX01R4pD+zbfWVdRyYkcSU7kyA6PqadzOVSObkinujSMkAgX2VNPERHnCHZYTaRnhHHvbZMNjd2/r4IDRwvRdI1+mamMG5+Eql6YtNQ6qjl6ejcOt53o0Diyk0dhNlnaHGNseCK3TjDWtbmy/gzHS/fj0lwkRCTTP2k4qnLh68vhtnOkZDd1zmrCLJEMShlFqCX8gnGaBjnbUjhzMgqTRaPf+BLiM+vafFvA28TwSMke7O56okJiyU4ZhcXUs5tBiq5NkpFOFuGuZOGp/zKwZjsqum/ORI05lnVJN7A7bk6rt5ldvZW5Ja8S5zrdpNJpTsRwlqXd60tK+tbs4prCJwnT6gHvfI1h1RuZV/IqGxOvZF1yx5W0zqg/yoLiF0iz5/rmjih4V9ssT72bwvDsDtv3pUjTYN0LQ/n8haHYa6w0zs5RzRpjrjjBlT/cQUhE9znKuGd3Oe9sfxFnwlbvyWUddp+CD14axPw+X2bWrEwA7K56Ptz7IrsLNqDpZ1dxhVkimDXwamYMuAKlg07zVdnKeX/3fzlcsrPhle0VHRrHZUNuYmzWTMDbpXjFwbfYmLMcl+dsYmhRrUzsM5eFQ2/xJU57lmWx9B+jqTwViW+GlaIzcMoprv3pVuLSW5eUOFw2Pt73Mjvy1zW5f0LN4cwYcAWzsq9uNnESoqPJaZpOFO6u4p6cnxPpqrig0mhjErEm+SY2Jl5jeJsjKj/nyqJnmy237kHFqYbxv36/Js5RzE35f4JmxjU+AbbHzWdF2r2tuEXG9Ko7yC15j6HqngsKm2ko6Kgs6f0weRFD233flyJdh/cfncCWtwbQXL11RdVIG1TBV/+9EmtY4GXXwbZrZxlvHHsYzA5vmfhzaQqgMDvqt8yalcwzX/yakpoCdL35heJT+l7GlSPuaveEpNpWwVNrf06towqthX0vHn4HU/st5JUtf+dg8Q6am9KtoNA/aTh3T/4B298dxHu/nQTNvLpVk0ZYtJNvvrzMcELidDt4bv1vKarMRW9hIf24rNlcP/orHZawiUuP0dM0kgJ3orklrxLVTCICZ99qZp9+g3hHkaHthblruLzo3y32fTGhYdVsLCr6N9cWPN5kP83te1zFSmKcpw3t2yhF17i68MlmExGgYWqqxtWFT6G08CYuWufYplS2vDWQlhq/6JrKqcNxrH2h6yd/mqbz9p4nm09EAFQdFJ01ZX9g+f53KaluOREB2JizvEOqpX687yW/iQjAJ/te5otjn3KweDstFX3T0TlWupd1+9bz/qMTGi698HHUPCq2aivv/77lybXnW3fsI4oqc1pMRAC2563h6Ok9hrcpRHuRZKSThLlrGFq1scUmcI00VMZWGOu9MqpyDQqa374vJjT61B8gRLcH7A8DMK/4ZUP7Nqp/7U6i3RV+S72r6ES5KxhQu6Nd932p2rgkG9Xk/3mmayqb3hiI29W13wI2bS7BE3u4+USkkaJDaBVbTq70+0ELoCoqG08sb9cYa+yV7Du11W8iAqAoKuuOfYTi95Xo9cXR5U1O9TRH86gcWZ9OeWFEwO15NDebclYG3KaqqGw4sSzg9oRob137nagHybAdxWSgEqmKRt9aY99MetftN1QaXcd48e0M21GDI43pXXfAUG8aDyZ610k33vZwfEsqmifwS7u+MpTSnOhOiKjt9h8/ZqxSq6biIfDEXE3XOF66rx0iOyu3/LDfozGNdF2jzlkdMCEAqDfnQmh54J3rCjnbkwMOO1NbTJ2zOuA4Tdc4cUZeh6LzSTLSSUy68bkuRseadZeB71jGKYDazqdKOuJ2C/80t/FnhaeLHxnx6G5aOt10cdtsx+111Dw2k9PAIN3QY9iaGM+d2CpEZ+na70Q9SHkLy2zPp6FSFpJhaOyZkHQ8Bh5CBWNv5zpQY4k3tG+jyq1pKAa6ziholFvT2nXfl6qErBrvqYsAVJNGfEbLE8q6gpSYVFBdBkYqBg//KSRGtO/zzOj2VEVFNbh8X/WEo9gTDIxUSOxdE3BUbHiiwVUyCvHhwekFJC5tkox0ktLQLIpC+wWY4eE9TbMzbp6hbe6KndvsZNhz6UC1OQ6NwO/VCrAu6XpD+zZqf8w0NANvwDoq+2Kmt+u+L1WTbjwWcIxq0hg2L5/wWCPfvoNnwdwB4DRQWEzR6B0zysAHrs7kvvPbJbZGGbF9SYnuFXAuiKZrDE+fiBLgbVdVVIbFLkR3BSgxr+jEZ9bQd1zgSefh1kiGp08ylJC09/0jhBGSjHSiNck3Ay0nBRoqBWEDOR452tD2SsL6cihqgt8ERwFWp9zKnthZft8qdaDSnMjR6Al+RrWezRzFpoSr/I7RgU2JV2EzR7Xrvi9VY686QUJmbYuTWBVVQzVrzLm/fedOdITISDND+ar/QbpCcsWtXDX2JhRFbTEpUBWVxMg0RmVOa9cYFUVh0dBb/M4FURSVvglDWDzsdsKtkSgtJAUKKiHmMBZNnsPgGQUoaktfNnTQFRZ9Z5fh7ghzsq/FpJr93j9x4Ym+eihCdCZJRjrRycjhvJf5IG7Fgn7O1NPGUy0F4dm8mfVD9FYUHfow45sciRrfZDvgrd+hobI09V4OxEzj0/Svcihq/AWTWRt/rjYn8O9+v2/7jfNjXdL1bEq4oiGuszE2xrsl/nLWJknX0/YSEuHmvmdXkdjbO2FRaUxKFO+jHxLh5t4nV5M6oCp4QbbCbTeMpV/tt7xN9bRzjrI1TGxNLL+Rb95+Oekxfbhn8o8uaFrX+MGfFJXBV6b+FKs5pN1jHJQympvHfeuCD/vGIxH9EoZw56TvEx0Wx/3Tf0Z0aJw3toaxjf+PCInmK9N+Slx4Arf8YT2DpnmX+Z9NLHUUVUc161z/i00Mn59vOMaU6EzunfIwIQ1VXn37bogxISKV+6f9rNkqsEJ0NCl6FgShnlpGVK5lQM1OLLqDCksqu+Nmkxc+pM1N4NJsxxld8RmJjgI8ipmTEcPYFTuHOktck3EpthPMK36FFMdJFF2jxpLAhsRr2B/b8adI4hzFjKlYSbrtOABFYf3ZFTeP8hCZK9IRNI/CkfVpbP+gH1Ul4YRGORkxP5+Ri04SEt79Xke5ObV8um4rp1370BUPcUo28ydMYdjwps9xh8vGroL17D+1DburntjwBMZlzWJg8sgOry5a56hhe94ajpzeg8vjIDEijQl95tI7PrtJITG35ubAqa3syt9AraOKiJAoRmVMZXj6xCZl63Ud8vcmsPWdAZzOicZs0RgwuZjx1x0nKsHephidbju7Czeyr2gLNmcdMWHxjO01g0GpY6T6qmh3RoueSTLSg0S6yolzlqApJk6HZjXf96U1dI0U+0lCtHrqzDGUWTNaTJaGVK4n03YEhxrBpsTFOE3SQEy0P7urnuLqfHRdIykqnciQmE7bd85hjX276lAVlbGTw0nLurhVPh6PxsZdBzhTXU5cZCzTxw7HZJJkQPQs0ijvEpJiy2FG6VsMqN3lO0DsVELYHTeHL5Kux24KXBSpCV1jfPlyJpZ9Qoy7zHfx6ZBebEi8hoMxU3yXLSx6ntGVa5oUNZta9j7V5gT+2+c32Kyd92Eheq5qewWrDr3NzvwvcGve1TWKojIsbQLzB99AclR6h+1721oXH2z5EHe/9yHU+2Vo/dYQQpbczK2XLyB7ROsSCI9H4/mPXuekZxmYGlYKVcOyfDOZyny+dvXtkpSIS44cGenmetft56a8P6Lq2gXVXTVUKqwpvNTnl8Ynh+oaVxX9i2FV64GmS4I1FFR0Pk+6gQ1J13Fr7m/pXX/wgnHgnYuiofL4gMexWWPbdNuEAG8X3KfX/Yq6Zsqtq4qKWbVy//SfkRHbt933veZTO8urvweWejCd997jMUN9ErcOfowR441/r3v09d9TG7rvwpYzDb+H2gfy0xt+IQmJ6BGkN80lwKLZ+VL+3xr6vlw4615FI85ZwmXF/zW8zVGVnzO8an2ztUkaj37MKn2LqaffaTERabxMRePLOT81vG8hmvPGjqebTUTAu1zWpTl5efNf8WjtW6zL6YDlpx8Ba92FiQh4LwsvZcnmfxne5pJly7yJCFz4wmn43R56lJc+/aBtQQvRTUky0o0Nq9qAVbMF6PuiMbh6K5GuisAb1HUmlH0asBaKB5WpZ7xvloH63UR5KolwGihrLUQziqvzyC075Lfvi65rVNnLOVyys133/dbL5RCb578vjsmNnrmRz5cGLkUPsK/6g8AFf3Q4av/EeKBC9ACSjHRjA2u2oxuoraqg0a92d8Bx0e4ykpyFfpMb8DbfM2OsFL0CTD/zroGRQlzoUPHOFmtynEtVVA4Wt2+jxWNl2wz2xTGxZU/gTsC1dXY0S2XgcsgK6JY6ikokiReXDklGurEQj/+jIo10FKxa4GWAVo/xpYKtWUcQ6qlrxWghznK6HYa63Oq6jtPdtqWuLfGo9YbK6qOruHVbwGGV1XWteuFU1dQbHyxENyfJSDdWZUk01JtGRafaErjPRa0lNuApmkat6QRcEtrb4EghmooOizfUEVdRFGLC2revUognxVtoLeDOPURaEgMOS06MNf6i0SE92UhvGiF6BklGurE9sTMD9qYBsKnhhkrM202RHIscEzDB0VCpMcX5HQNnE5ZN8VcGHCtEc0ZmTDLUXE7TtXYvYz57/LjmJ66eTzdxzdX9Aw6zWkyEOQYamjNicWQREx1mLFAhegBJRrqxkxHDGprv+X8YNyZejUe1+B1z7lgFf/1zFFyqlXcyHwQ/48B7RPpY5GgwGetUKsT5wq1RTO67AH/nNxRFZXDKGFKjs9p131PnWTEdv7JpCfrz6QrhR79M1gBjRxQvH3ZHw9+1tD3v/xYMuN14oEL0AJKMdGeKwptZP6A0JBOgySmWxqMbW+MXsjnB+JGJovCBvJ/5bTRMTZIcvWH7TjWU17Me5lRENh+lftV3XXP9bk5bM3gr64dtuWVC+CwadisjMyYDNJnM2tj9tnfcQG4e960O2fd3b78FpaChsV4zfXHMx67noW8bb6UwfvgAJkTd7/3l/ISk4feRYXcxfdzwNkYsRPckRc96AJPmYkj1JsZWrCDBUYSmmMmJGM6O+AUUhA9q0zZjnKcZW7GSoVUbfeXg98TOYnfsbOrNZ6uqxjpOcW3B46Q6Tvous6vhrE+8lq2JV1z0bRMCvBNUj5XuY1POcnLLjqCjkxadxeR+CxiaOh6T2nFH32z1Om+9XMohx3voSXtAVzAVT2Zk/JVcf0c0JlPry8IfOXGK97YtodKyCxQ36CaiXSO4esytDB2Y2f43Qoggkd40waJrhHlqAQWbKdJv47sQTz1m3YnNFImmdM3K/OHuKiJcFVRZknCaWy4rr+puwjy1uBQrTpOfrp+++4eG+6frHZzTdbDXWHC7TITHODCZL/4l4rSplOVHERblJDat5ZUXug71lSHoOoTHOlDb4e6x2zyUlzuJirIQFd3y80zTNeqdNaiKSpglskljtybjNJ3KCidOp058ghWrtes9hgClNaeotJWSFtWbyLCW2xK4nSr1VVZCwt2ERLT8/uL2aJSVOlFVhYREK6ra8mvb5qrD7XERbo3EpHbea1vXdWyuWjyaRkRIlN/Gdw63HYfbRpglAovJ2mkxtobL48TmqiPUHHZBN+ZzeTQP9c5aTKqJMEtEi89d0fk6tDdNWloq8fHx5OXlU1NTY+hvkpKSSE9PJy/vJBUVlW3ZbZcW4qljXPlyxpWvINLjbc1eZU5ge/wCdsQvONu0TtcYVrWB8eXLSLefAMCpWNkbO5MtCYuptKYE6yY0MaX0fSaWfUKYVuubQ1JlTmBt8o3sj53hGxfnKGZi+SeMqFyLRff22SgMG8DW+EUcjJ7sS8asnnrGVqxkXPlyot3eAmw15ji2xy1ge/wC/wlMJ/G4FLa935+Nr2Vz+kQsAKGRTiZcf4xptx8mOjnw8s3zndiWxId/mEDJsRga5z1YQt2MuSKHKx/eirnhFei0mdj0RjYbl2RTVexN+iITbEy+6ShTbj1MWJSr1fves7ucZds+oyLuI18PlNAz05ja+wrmzz+7wqnOUcOGE0vZnLuKeqf39RwfnsyUfguZ2Geu74PK7dZ578P97Kl6H3fcAe8fO6JIr7+eq+dMJ6t38B9DgFe2/J0Dp7ajnzO522oKYf7gG5g+YLHvsuJjMXzx0mB2f9oHj8t7ZKXP2BKm33GYIbMLfN8jys44eGfpVnJMb0F4KQBKTS8Gmb/E9VeOITLS+yBqusau/C/YcGIZRVW5vv2Oy5rF9AGLiQtP6rDb7PI42Zr7GRtyllNeVwJAuDWSiX3mMbXfIiJDon1jD5fs4ovjn3C8dD8AJsXE8IzJzOi/mPTYPh0WY2vkVxzni2Mfs+/UVt9qquzkUUzvv5gByWdPYVXbK9hwfClbcj/D7vYuhU6KTGdqv4WM7z27UxNBcXFadWRk0qRJPPKrXxAbG0tNbS39+vbj9Tfe4Gc/+zma1vyqDkVReOyxR7nxhhs4efIkvXv35plnn+MPf/ij4SC7+pGRCHcld+T8mljXaZRzypB551IonAnJ5JU+P8OuhnNV0b8YXrXe1+elkQcVj2JhSe+HKQzPDsrtaHRL7u/pW7+v2dYZANviLmNl2t30qjvIzXl/RNXdTVb1NN62XTGz+DT9K4R5arkj9zfEO081e/+UW9N4pc/Pmpz+6Wxup8pL353J0Y1p3ht9zpJORdUIi3Zy//OrSOlfZXibW97uz3u/ndi4lXOu8d6zsWm1fP+9j3DZTTx3/3xKjsai6+eO1VFUnbj0Or76nxVEJxmvo7FseQ6f1/7K+8u5K0I0E6gesqrv5+t3zqaivpRn1/2aakfleUtovTH0iuvPl6f+H4rHwp9eepG6xJWgq6CeM9ZjAlcUNw/+NaNGBW85qsfj4Q8rHqDW0fJjNDJ9MrdMeIDD69J5+aEZ6JqC5jlnHoqqoWsq0+44yOLv76Qgv45nPv8dWmR+09usK95VL5Uj+d613yMqRuX17U+yr2gzCgr6Oa9tVVGxmEK4b+r/kRkXeNVNaznddv6z4THyKo41Bnf29igqUSExfHX6L4iPSGbFwTdZfeQ9FEVt8ng3HkG5ZfwDDE+fSDDtzF/HWzueQVGUJpV3G2NeNPQWZg68itM1hTz3xW+pd9U2u/x7QNJw7pz0UJc96nOp6JDTNNdffx17du/h2PHjAAwaNIiln37Mjx/+P954481m/+aeu+/mxz/+IVdddQ3Hjh9n3LixvP3Wm3zjm9/i00+XGtpvV09G7sx5hHTbsWb7w4B3KeyJyJHkhw9m9uklLa4LaJwg+tTAf+BobafddjLj9BtMP/N+i9c3Plk+Svsal5X8D4vmaLHwmg6sSrmD/rU76V130O/9kxc+mNf6BK+Pzcd/HsuGVweht1BXQjFpRCfaeOjDDzFbAi+nrigK509XXNP41y2M0hkw+RRmq8bh9enonuYPqasmjYxhZXz9hRX+zvr5HDtaw3/2PgCq22/RrsmmX3Ii/N+cqS1qsdy6gsrIzCmU7x9MfvR/Wt6eZkKxJfDTa/5MeERwVk89t+635JQfDDju6v4/4JP7HsPtUv3WEbnuVxv4qPybuGL2t7zEVzMRVbaAiTMiWHXo7Ra3paAQaongRwv+ToilfZfsvrnjX+zKX9/kSNC5VEUlISKVeYOvZ8m2J/xuS1VMfHfuH0iMTGvXGI0qqsrlyTU/a5LMNeeuiQ/xwd4XqLJXtFiHRkFhct8FXDXy7o4IVRjUIY3y3nnnXV8iAnD48GHKystJTU1t8W9uueUmPvroY9/fbd++gy++WM8tt9zcml13WWm242TajrT4QQve/jADancx+cyHfkuKqeiEaHZGVK5r/0ANmlC2LOByXYC5p1/zm4g0mnLmA/rW7Q94//SpP0CSPa/1AbcDe42FzW8NaDERAdA9KlUlERz4zNjkwk/+MrbhJ//de45tSuPQ2swWExEAzaOSvyeJgv3Gjjp8un4DKJr/6qGaytbKFzldU+C/7wsaewo2kB/2mv/tqR70iNMsXXnEUIztzePxGEpEAJYe/h8et+K/oJmis+K9Wlzxu/3XGlE91CQuY90R/71kdLxzOXYVrDcUo1E19kp2FbSciID39FFpbRErDr5loJqtzsacFe0aY2tsOL404HwPRVFZevB1Km1lfgvi6ehsOfkZNpdUgO4OWj3zLCw0lIkTJjBr1iz+9Mc/YLPZeP31N5rfuKoyePBg9uzd2+TyXbt2MXxYy0vXrFYrkZGRvn8REcE5SmDEkKpNhqqgaiiEaUZeFDrDqr64+MDaIMl+khDdbqR1BuGeapQAiYgCRHiqA9ZBAe9pqiHVmwzH2p4OfZGO2xH43LKiauxZZqya7JGNRr9ZKoZKjqsmjT1Lje37VMgn/pu7AaganqgcY6XWAawGSpNrKvvPrDUUY3vblrfG8FinqRRdC/Cc1BVq0z8w1ptGV3BqRuYTKewu2GAoRqP2n9qKrgd+/igolNUVBzzi0DjvJRh0XWd34Ua/ybF3nMbpmgJDz12P5uZQO/csEh2j1bN7EpOS+MlPHiY6OobMzAz+9re/U1JS0uzYyMhIrFYrFRVNO8ZWVFQQGxvb4j4e+Pa3eOih77c2tKBoXBkSiO63lNhZ3g96Y5OC21uss9Tw2Pafq64Q7g7O7a6vDEFRdL9HRgB0TaW2rOUZ/efyOE0YvZeMPTOgvsrgue+QSmPjIOCHk3eQsYQJVcNlCk5zt7K6U+2/0bBy7xGmgIy+GnRqndUXE9EF6p21qIqKpvtPPg09zg3sruD0xHFrLjytOA1v5DYpKNQ7jb1Hi+BqdTKSn5/Ptdd9CYDBgwfzzttvouk6zzzz7AVjXS7vDP6QkJAml4eGhuJyOVvcx+NPPMkzzz7n+z0iIoKdO7a1NtROUW+OMjQu0FGERjpQbzK2zfZWaTU+27/x1rRfUqIbvi/bW0SsI2AiAt4jI5EJxiaRmqweNJuCkXvI6MdERKyxNvU4YiH8jMGtqhCopYCRRARAU7F4gjOBNTEivf03Wp/gnawbsOWC0UdQIdIaHXhYK4RbowIeSfDuWTGckIRagrMqyqxaMKsW3JqxlWNGbpOOTrg1sj3CEx3sogoEHDp0iDVrPmfunNnNXm+z2SgvLyftvDklqampFBYWtbhdp9NJbW2t719dXdc953cweoqh/jAqOvUmIy8Khf0xxis6tqfS0N7Y1TAjrTOoM0UT6INWB2pN0X7nizQyoXmXAgfBoBmFmEMCfyPTNZVRl+ca2mb2VKPf1HVDzdg0j8rIRScDjgNId1zhv4Q5gKZiqu5H4A9a75s+TgMfUKrG8KT27Q9j1LisWYbHWj1JKGrgBCzy1NXGetMoOiGqkQ9wndG92ve1PSxtPKqBWc06OgkRqQFPbaiKypheM/yO6SiKojAqc6rf2ijecSop0b0MJVdm1cLg1LEBx4nga1UyEhZ24Szw3r17N6kbkpGeztixY3y/r127jgUL5p/doaoyb9481q4L3iTN9lQc1pe8sEF+541oqByNHMOmhKv8vnw0FOxqOHtjg/NmALAtfqHft6vG+Fcl345TDfXb5VcBNiZeQ07EcL/zRjRUciKGURravr1FjAqNdDP5xqMofo4AKCaN2NQ6hs4uMLTNKx7a3vCTv0dcZ+DUIobMyvf74aiaNLJGnSZzmLFTIJdPn+JNRvwlOarGxIS7SInu5ffNX0FhdOZUsuy3+9+eZkKpS2Hh/AGGYmxvJpOJfglDDY29fPA93kJ2/o746AqXXRuBpXy0/3kjmonossuZkb245TF4VyWFWyMZlTnVUIxGRYXGMrrXdL9JhqqoJEdlcNmQmwJ+gDeuQAmWqf0WBv4ypGssHHIzseFJAZ+7E/vMI8zSdeccirNalYy8/dabfPtb32TOnNlcfvkinn32X2RnD+TJp572jbnllpt55eWXfL//7e//YOjQofzhD79nwYL5PPXUE0RGRjR7Wqe7erfXd6i0pqCddzKmsY5GaUgmH2V8g80Ji9kb4000zv8Q11BxqSG8kfXDoC3rBViXfCPHI0YCLbbOYGvcIg7ETeeNrB/iVqwXJBqNt21n7By2xS/k/YxvUxaS3uz9o6FQZk3j/YwHOuT2GHXZg7sZOK0I0C9IShRVIzzGwT1PrsZkMXaoOzbNxvW/3NzwW/P3ZFxGLXf+43Nu+M0m0rIrvftVmt5DiqoTl1HL7X82Pqmw/4AoZkf/EjTzhR+kHu8Rk97VX+OqxQO5a9JDRIfG+fq8nC8rfiDXjLqXL980g6gzl3kvPH/yp2YCRwy3DP854eHBKzJ175SHiQqN9TtmVMY0Jg0bzR1/XYvJrKGamiaBjUnhjLsPMO7qXL664NuodZne29zkofGuxrFUjuQbX7qR2dnXMKKxf855r21VUQkxh3LvlIcJ8VNFtK2uHnEPveObr02koBIVGsfdk3/IiIxJzBt0vS+m82NUFRO3TniQxMiWV0d2tLSY3tw49usoitpsjACXD7uNwaljuHfyjwi3RjXpVwRn7/8BScNZNPSWzglcXLRW1RmJiYnh3nvvYcyY0bhdbg4fOcKLL75EcXGxb8wtN9/MlVdewR133uW7bPDgwXztq/eTnpFOTk4OTz31L/LyjC/j7Op1RsBb2n3MeRVGKy2JbI+/jJ1x886pwKozpHoT48uXkmnzFilyKqHsjpvF1vhFVFmTg3UTmph45iMmlX1EhKfGN8Gy0pLE50k3cTD27Le7WGcJE8qWMrJyDVbdOw8oPyybbQmLOBQ10VeB1aLZGVvuvX9i3GUAVJnjG+6f+ThNwW+X7nEr7PywL+tfHUTJsTgAwqIdTPzSMabcerhVRcca5e5M5MM/jOfU4TgaT2tZw1yMvfoEV/5ou6/cu9NmYstbA9n4ejYVhd7TeVFJ9Uy5+QiTbzpKaBsqsO7bW8GyrWsoi/kAzE7QFcLKZjC17+XMm3v2KFS9s4aNJ5azKWcldQ0TLBMjUpnSbyETes/BbPJ2fHa7dd7/+CB7yj/EFb/H+8f2GDLt13PVnCn0yuoa30CXbH2Cfac2N5lLEWIKY8GQG5jaf5HvspLj0Wx4dTA7P+qL2+lN0vpNKGba7YcZMqvQN66i3Mk7S7dxgrfRI7zvdWpVXwaHXsf1V4z21VXRdI3dBRvYcGIZhZXe6soh5jDG957NtH6LiA1P7LDb7Pa42HpyNRtzlnOm1nuKMMIaxaS+C5jS9zIiQs7Oxzpyeg/rj3/K0dPex9CkmhmVMYVp/ReTFhOco5PnK6g4wfrjn7K3aDOa7kFBYVDKGKb1X0T/pGG+cTX2SjaeWM7m3FXYXN6JqilRmUztt5CxWbM6tGeRMEZ60wSLrhOq1UHDKRd/Vaosmh2z5sRuikBXuuaLJtRdS4S7kiprIm615W91iu4h1FOHW7WeTbyao+uEat7Z+oHun2Cy15rxuEyERTtRTe3Qm8auUlEUQXi0i6jElpOaxr44uq4QFu1sl7vH6fBQUeEiItLsK13eHE3XsLvqUBSVUHO433oP1VUuHA6NuHgrZnPXfAwr6s9QaSsjNSqDMD+TGD0uBVuNFWuYG2tYy6tS3B6NqgoXqqoQE2vx25vG4bbj9rgItYR36geirus43DY03UOoJcLvaQyXx4nDbSfUEo65i5ZNd3tc2N31hJjD/FZSbXzuqoopaBNwRfM6tDeN8ENRsAeYqJpqO8G48uUMqN2JWXNRaU1iV9w89sZM7xI9Ws5lN0diNweeeKsrJmxmAysFFAV7EE9DGRUa6QYuPvF11JnZ8VFftrw1kIrCCMwhHgbNKGLKzUeazAHRNDjyRTobl2STvzcRXYf0wRVMvvkIQ+cUXFSzPmuIiZTUlj8Q3S6VfSt7sWlJNiXHY1FUnT5jTjP55qMMnHKqSUJ0clciG1/P5uiGNDxulYReNUy+6SijLs9t8kFeeSqczW8OZNcnfaivthIe42TMlTlM/NIxYlPPLh11uu3szP+CzbmrKK8rwaRayE4ZxZS+C8iKH+gbp+twZH0aG1/PJm93ErqmkDqwgsk3H2X4vLxmT5/FhScS5+doRH2llW3v9Wfru/2pLg3DGuZm+Px8Jt90tNmy/2aTSkJiSDNbulCIObRDTskEoiiK4Q9ji8nq9wPe5qxje97nbD35GVW2ciymEIamjWdy3wWddgTFbLIQaQrcJkJVVMKtwVmNJ9qHHBnpZFNL32NW6Zt4UH2rcBofgGpzAq/2+WmXaZYnLk55QQTPf3UelQ2N7xongKomDc2jMv8be5j71X24XSqv/WgaB9f0QjFpvmqsjX1S+o4v5u5/fu73W3tb2Wos/PebcyjYl+jb37kxjro8hxt+vQnVpLP0H6NZ97+hvuu8QeqgQ2LvGu57ZhUxKTYOrUvnlR/MQHMrTYqLKaqGyaJxx1/XkT31FJX1Z3h+/aOU1zetU+Stm6Exe+A1LBhyI5pb5Y2fTWXv8t7N3j9Zo0q554nVDQmkMUWHY/nP1+diqwpp0g9INWnomsLVP9nKpBuO+d1GT1ZSXcC/NzxKraOacyfLND42Vwy/k2nnnPISoiUdUg5eXJzhleuYVert4XPucuDGahSR7gpuPfl7zFrLNVhE9+ByqPz76/OoPh3um+zYqPGDfOXTI9n+QV8++sM4Dn3uLTN/bln4xg/y3B3JvPnzKR0S56s/nE7hgfgm+zs3xt1L+7DiyVFsfC2bdf8b2uQ67x95n73lBZH895tzKDwUyysPzcDjUi+ocqprKm6niZe+O5NTJ8L5z8bHqLRdWGivca7HmqPvsyV3FUv/MYa9K7zfxJu7f/L3JrDk4WmGb3N9pdWbiFRbG+rLNH1sdF3h/d9N5PAXwenPEmx2Vz3/3vAodc4azp983fjYfLzvJfYXbQ1CdKKnkmSks+g600vf8btszYRGrKuUwdWb/YwS3cG+FVlUFEY2/eC+gM7Kp0ey9d3+/vviaCr7V2Vx5mT7HoYu2B/P8c1p/kuj6wobXh3EZ8+13L4BvB/ip0/E8ulfx6Jrfvq+6Aq6pvDpR/mcqT0VsGDXqkPvseGNfn6XFeuaypH1GZw6Eut3W422vd/fe0TEz+1WVI3Vz/u/zT3Vjvx11Dqq/fZ9UVBYfeS9zgtK9HiSjHSSDNsx4lynA9bj1FAYVbmmM0ISHWjbe/0DF9ZCoao4wlDRM9WksePDvu0TXIMdH/a9YGlrc9xOlfpKA/MfFI2cbSkBEjBv4nLM/UmLy4nPVeusQO8VuN+NatLYafD+2fpOfwK1c9E1lbzdSZTlX3rVO7edXEOgqrI6OkVVuZRUG6u7I0Qgkox0kki3sYJVKjrRLqOlvEVXVVkcEbgZWwNFNTZtq6qkfSc3V58OR9OMlME3OK1MVw2V1QcgKs9vp9km+4/ND7xrHapOG7t/qkvDMNrIoPp08Jecd7Yqm/H+QtX24PQiEj2PJCOdxO9y1/M41UvvDbCnCYkwXhfEQNNVUCAkon0nb4eEuw0lGoYTjFY0Y8MReIWEb6v2wEcnFAWsYcbuH6PjAKzh3XvCfFuEmI2tGAKwBmHFkOiZJBnpJHnhg3EqgV/kGgqHoid2QkSiIw2f57/EeyNziMvQERTNrTLEYCl6o4bMLmgyIbRFuoJqNrCSR4H4zJqAt1tRNRLq5htqAW9SLHD8soDjNI/K0DnG7p/h8/MNnJ7SiU6uJy270tA2e5Lh6RMvqGranAhrFJmx/TohInEpkGSkk7jVEHbGzfPby8VbPl5ld+yczgtMdIjx1x3zFkvz1+9G1Zh84zEyh5/x++GomjQSetXQf2Jxi2PaYsisAqIS6wP2xRkw+RRjrszxn2QoOpYQD3O/tjdgcqVrKvMmj8MUoNCWoqiM7z2LvsPtfu8fRdWISalj0PSWm2+ea/JNR72TbP3uHKbedrhdCt51N5P6zA94uE5BYUq/hQEfQyGMkmSkE61NvpHCsIHNJiQaKjoqH2R+i1pLXBCiE+0pOsnOzY9uQFH0Zj/EFVWn14gy5n9zD7f+YT3hsY5mP3BVk4Y13MUdf1vrKx3fXkwWnTv/vhZLqKfFfUcn13PDrzdyxUM7SB1Q2cJt8fZ4uf3P6xhzRS5TbzvUcMV5H2gNv8+4+wCjZ9Vx24QHURVTs9/CFRTSY3qzaNit3PS7DUQl2lq+f8Lc3Pn3tYYTh5T+VVz9f1t9sTflTSAHzyhk2u2HDG2vp0mITOX6MfcDNDvJWEFhQNJwZg68qrNDEz2YFD3rZCbNydQzHzC2YiXhnhrf5TkRw/gi8XoKIgYHMTrR3nJ3JvHZM8M5tvlszYrwGDuTbz7KrHsPYAn1nv6oPh3GqmdGNOmTopo1Ri7MZf7X9xKfWddhMZ7OiWbVv0awb2Uv31ENS6ibcdecYO5X9xIZ7wDAUW9m9XPD2PLWQOy1DZU7FZ1B04uY97W9voqyug47PujH5y8M4Uzu2bkhSX2rmHXvAe9RloZ8PK/8KKsOv+PrkwIQZolgUp/5zM6+2jcnoaYslM+eGc6OD/rhcni/jasmjeEL8pj/9b0k9j77WjLq8BdpfPbccPL3JPkui06uZ+pth5l2+6GLqnrbExw7vY/PDr9Dbvlh32WRITFM7beQGQOukKMiwhDpTdPFqbqbZHseZs1JtTWRakvHNdESwVd5KpyKUxFYQjykZlditjR/2sFeY+H0iRh0HZL6VBMe23kF8GrLQyjLi0JRdVIGVBHSwuRNl0Ol+GgcHpdKXEYtMcm2ZsfpOpw+EUN9pZXwWAfJ/apb7LVTZSujov4MZtVManSWrznf+Rx1ZkqOx6BrCom9a4iIc7Tptp6rLD+S6tNhWMPdpGVXXpKnZvwprztNlb0cqymE1OgsaT4nWkV603RxmmKmOEwmf/V0uq5z/Mx+thWuoay2GIvJyqDcMYzLmkVkSNNePkc3pLLsiVGcORmNrkN8Rh3zvr6H4fOaTsy0uerYkbeOg8XbsbvqiQtPYlzWLLJTRvltjBZIZLzDdxSkJUWHYvnkr2MpPBCP5lGJTLAx7Y5DTL7paJPTSC6Pk72Fm9l9eiN1jioinDGMtk5lePrEJv1QdF0np+wgW0+u4UxNEWaTlUEpoxiXNZuo0KYrbo6X7mfZgSWcrilEB+LKE5mTfS2jMqc2GWevsbDz477s/ywTe62F2NR6xl19gkEzippNNBJ61ZLQq+U3ydaoLQ9h27v9ObIhDZfdTGLvasZfd5x+40931Z6QAcVHJBMf4b+beHF1PltyP6Og4jiKAlnx2UzsPZekqPQOjU3XdfIrjrEl9zNO1xRgUs30TxrGhN5ziAlL6NB9i/YlR0aE6CA2Zx0vbf4LueWHfT09wHvOXVVN3DDm64zKnIKmwTP3Lmg4XaBztgaG9+ekfpU88NpSzFaNwyW7eHXrP3F5nDQupVUUFV3XSIvO4p4pPyYqNLZDbs9bv5jEjg/PTaAVX4zhMXYefPMTopPsnKo6yX83/oFaRxUKCjq67/9RoXHcO+XHpEb3wu6q5+Utf+fEmf0X3D+KonL96K8wNmsmmqbx7w2PklN2sNm44iNSeHD2o1jNoRzblMLLD83EaWv4nqUrvn42yf0ruffJ1cSkNH8k52Lt/LgP7/xqEpqm4r0piq+PT9/xxdz513WERhlf8t0daLrGh3teZHPuiiaPYePPMwdcycKht/jtAN1WLo+TJdue4GDx9vOePyqgc8WIO5nab2G771e0jvSmESKINF3jf5v+xMmKo77fG+noeDQ3b2x/kiOn9/Dfb845Z97CuW/a3p9LT8Tw9N0LyCs/ykub/9okEQF8ZbtLarzNzbzXt69P/jqaHR/2Pycu5Zyfob4qhH/cuJjyujKeX/876hw1vtt67v9rHVU8v/63VNWX89Lmv/oSjPPvH0338NbOZzh4ajsvb/lbi4kIQHldCU9+/gsKD8bxvwdn47KZmvQDaly+fCY3mue/Og+nrf1PMxxal86bP5+Cx602rNTx7ruxGm3ujmRe/O5MNGN13rqNZQeWsDl3BdD0MWz8ee2xjzqsbPzr25/kUPGOC/ato6Gj89HeF9mZv65D9i3anyQjQnSAIyW7yKs46re/B8Cne97k+ObUAFtTOHUono+3v4+uexeAN0fTNU7XFLK3sH17G2kabHh1ME2P2lwYo60qlLeXbsThtrVYXVXXNWyuej498Ao5ZQcD3j+f7H+VQyU7AsZYWlvIh0vq0TUFXW/+bU3zqJTlRbHrkz4Bt9caug7L/jm64Z5p/v7RNZXcHSkGHuvuo8ZeyfrjnwYct+bI+9hc7TsBu7AyhwOntvmS3JYsPfB6wP5HomuQZESIDrA5d1XAwlE6OiV1JyBld+ANxuSRX78zYAl1BcX3TbW9bHp9YMM3/ACH2lUnOdqHAd/8dV1jX9FWQ/NbyuqM11bJS/h7wL44KLDpjWzD2zSi8EA8JcdiA1aqVU0aW94a0K77DqYd+esakmP/3Jqb3QUb2nXfW09+Zuj5U2OvaLJSS3RdkowI0QFKa4oCfuv3STgSeEz8MUOb0tE5U9u+xdGKDsYbGxheBlZjE0E13dP+31hjTgYeoyuU5bVv9+MzBreneVRO5xgvg9/VldUWG5oLoioqZe38nCytCdzxGbzJeXvvW3QMSUaE6AAtLU1tlsdALxC38X4h7V3/wRxioBQ8GLsdHUkzdp+bWlhW3VYms/Htma0G78tuwPs8MzYxtd2fkwa3p6NLPZRuQpIRITrAwOSRhg4jK7oZ8qcF3mDxWFQtcFdaVVEZmDTCSIiGjb0yB0NN8GyxWKoHEegDSkEhMiTGUP8TI/1rGpkKZgUc01jevj31GVNqoNeNt9rrwCntu+9g6p80DE0PnFxpuof+ScPadd8DkkcYfm70SxzarvsWHUOSESE6wKQ+8wIeRlYVlVG9JqM64vH/Ya+DO4wJfeYE/ADXdI3J/QI3lmuNrFFlRCbYA8QIoDBtwMKA43R0Zg64ImD/E1VRGZo23vA328mx9wds0qd5VKbcbOC0WCtEJdoZPj8vcEKiK0y8wdjptu5gSOpYb1LpJylQUIgLT6J/0vB23fe4rJmoAYqvqYpKv8ShHV7rRLQPSUaE6ACJkWlcPuy2Fq9XFZXo0HguH3Yb1/58S8OlzX04ey9b+MBOFg6/lqTINL8JyayBV9Errn+L17fVHX9b21C0q+UYR12ey7xJ4xmUMhp/q26Gpo5nav/LuXLEXS3uT1VUIkNiuGrE3dww5msB45ubfR3z78sndWDz/XMaTbv9EH3HlQbcXmstfmhHi/1zGu+fxT/YQXxGx5X172wm1czN476FoqjNJiQKim/MxRTja064NYrrR9/f4vWqohJiDue60V9p1/2KjiNFz4ToQDvy1rL84JtU28t9lykoDE2bwNUj7/FVGd31SW/e+91EnPVN5z1YQt1c/t2dTL7ZW6/E5qzjo30vsrtgY5ND5BHWaOYOuo7JfRd0SIEpgLy9Cbz83ZnUlodybrKhmjQm33yEK3/oXYLr1tysPPgmm3JW4PScrehqNYUwpd9C5g/+ku9ox+6CDSw78DqVtjO+cQoKQ1LHcdXIu4kJ806e3Ve0hbd3PovD3bRgmVm1sGDIjcwYcAUA9lozH/9lLDs/6ovmNuEryhZrZ/Z9+5l2++EOq4RafTqMD/4wjoNrejXpChyTWsfCB3YzenFux+w4yE6WHeajvS9RWJXT5PJecQO4euQ9ZMT27bB9Hzi1jU/3v3bBqquBySO5ZuS9ASvHio4nvWmE6CI0XeNE6QHK609jMVnonzic6LDmOzPv/yyDg59ngg79JxUz5ormV4jUOqo5dnovTo+DmLB4BiQN77SJerm7Etj5YT9cDhPpQyqYfPNhzM3s2uG2c+T0buqdtURYo8lOHuFrfHcuTdfIOXOQ8roSzCYLfROHEttCKe9DxTvYX7QNHY2+iUMZkzkdtZl2xvWVVo5uTMNRbyY62caAycUt9gNqb1UlYZzYmoLbaSIuo5Z+E0raveNyV1RYmcOpKu/zNTOuH6nRWZ2yX13XOVl+hNLaIkyKiT4JgyUJ6UKkN424JBQfi2HXx32oLQsjNMrJsHn59BlT2qX6gFQXR5L34S2UF3ob5YVMOcXgmc33SRk2t5Bhcwv9bs/udPP6W/vJda1BV21YXMnMGZjEzJkZbY6xvtLKjo/6UnIsFtWk03tUKSMuy/N1FT5Xn9Fl9BldFnCbIeZQRqRPCjiuxl5BXvlRyhqSEYsplKiQ2AsasjndDmod1aiqiqaD3VWPw20jzBpxwTbDY52MutzAUt8OEJNiY8yVuUHZdzBlxPbt0KMgLVEUhT4Jg+iTMKjT9y3ajxwZEd2SrcbCkoencXRDepPz9JpHJXVgBXf8dS3xmcE9P+92qXz4h3Fse2cAKLovQdI8KtHJ9dz2xy/IGnXG/0bO8/Gnx1lv+zWY3E2nbyigVPfiO5f9iuSUC48+tETX4fP/DGXVMyPQ3CqKqvtiDIl0cv0vNjNiQX6rYjTKo3n4ZN/LbMrxFmnznl5S0HQPkSEx3Dr+AfomDgG8p3Pe2/0fHG4bquI9/aLpOibVxILB3tM0HXV6SgjRdtKbRvRYLofKf74+l2ObvKW1NY/q+wfetvX/uucyqkuNfyi3N12Ht34+ma3vDEDXFXStaYw1Z0J5/mtzKTrU/Oma5qxZU8B6xy9AbUjIlXP+AXpUPn9f/UPsduOnI1Y/P4zlT4zG4zKh60qTGB11Fl778XQOrM40vL3WeHf382zMWYHe8J+ma755MHWOav6z4THyK46zt3Azr29/0jdf5GzBNG+Pn6UHXmPtsY86JEYhROeQZER0O7s+7kvhgXh0reUeJPWVIax9IXj1BU7uSmLPsj6+Zm3n0zUVj0vl07+NNrzNFQWPe39oeaEKhJXzwhtrDW2v5kwoq/7lpyZJQ+zv/348mqd9jzoUVJxgR95aWloG3Ngs76O9L/LBnhcCbm/FwTd9zfmEEN2PJCOi29m4JDtg4UfNo7Lt3f647O3fodWIzW8ODFh3QtdUjm9JoywvMuD2DuyvQI8sCFzwUoc869uGYtz+fj8CblBXqCkN58iGNEPbNGpL7qqAyz11dPIrjlHnrA64PV3X2J73eXuFJ4ToZJKMiG5F06DkWGyLRxzO5bRZqCi6cHJjZyjYFx+4aVuDU0cCn6rZvv+4scrbChBaYWi/RYfiDRVWVU1aq04nGVFQedxwbxqjlTaLqnIvIiIhRDBJMiK6FeWcORLG/qCjIgmw29a8spTAGYHaES9VRcdQNgIdsDqpvTeoyARWIboxSUZEt6IokD64PGDZb4DQSCfxGca6yLa3rFHG+pWg6GQMKQ84bNKYAcbyBh2oTzQwEHoNL8NIUqB5VDKHB17K2xq947MNV+XUDdxwHZ3M2PavPCuE6BySjIhuZ8otR1qcvNpIMWlM+NIxzNbOKXR1vsk3HQ14mkY1aWRPKyIuvT7g9gYMjEap7mOkPQz99BsNxTj2qpyACZOiaMSm19J/Yvu2YZ/Ud37A0zSKotI3YQjRoXEESppMqomxWTPaMUIhRGeSZER0O6MW5dJ3fHGLR0dUk0Zsaj2z7jnQyZGdlTmsnIk3HKWl7EFRNSwhHhZ/f6fhbV475LveuTItJSQ6KDXp3HPzFEPbi4hzcPn3Wt6/ouigwHU/39LuFURTo3sxrd8iP/tWMatmrhp5F9eN/kpDKtJyQnLF8DsJswRnfpAQ4uJJMiK6HZNF5+5/fs7IhSdRFB1F1VDNHt+3/N6jS/naf5cTHusMapxXP7yNWfcewGTxoCg6pnNiTOxdw9deWE5y38ArRRpNmJDE5Yl/AHeY9wK96T+1cgj/d83vMJuNv6yn3naEa36yBWu4C2iI0eyNMTLBxt2Pf87Aye17VKTR5cNvZ+6g6zCpZm9TNcXUUNAM4sOT+er0X5AancWglNHcOekhIkOiAVDPGRdiDuO60V9hct/5HRKjEKJzSAVW0a1VFIWzZ2kfastDCYl0MXxeHqkDq4IdVhP1lVZ2fdqHisJILKFuBk45RZ+xbS9Z73ZrvPfxQfafWYVHtRGqpXDlhKsZOTK+zTE6bSb2rsjylYPPGlnKoBlFmMwd//Zgc9axq2A9FfWnMakWBiQNp1/i0AsmpHo0D4eKd5BfcQxN10iNzmJExiQsJmuHxyiEaBtplCdEB6spC+Xgmgxs1VYi4hwMnVNAeEzbj8boOuTuTKJwfwK6DmnZFfSb2HyTtfLCCA6vy8BpMxGTWs/Q2QVYwy7sI9MRiqvzOF56AI/mIiEilUGpYzB3UpM+Ic7n0TwcKdlFae0pTKqJvglDSI/tE+ywRANplCdEB3HUm/ngsfHs/qQPmqagqjqaR+H9Rycw8UvHuPx7O1s9cTZnRxLv/WYipbkxvrkwuqYSl1HL1Q9vZdD0U4C3auo7v57E4S/SARr2rWINczHznoPM/sq+DusQe6b2FG/tfJa88iMoDUtpNV0j3BrFZUNuYmKfuR2zYyFasDN/HZ/uf41aRxWKooKuN6ys6sf1Y75KanSvYIcoDJI5I0K0gstu4t9fm8uuj/t4V8s09HMBBY/LxKbXs3n5+zPwuI2fgzmxLZl/f20eZ05650TomupbLVRRFMGLD87mwOoMastD+Nc9l3F0Q1rDRFbFt2LHabOw8ukRfPDYePQOONZ5praYp9b+koKKY94YG3rJANQ7a3hv979Ze1T6w4jOsylnBW/u+Be1Du9pWV3XfMvAC6ty+dfaX1FSXRDECEVrSDIiRCtsfD3bexqlhaXFuq5wZH0Guz/tY2h7mkfhzZ9NQde8f3vhBhV04K1fTmHFkyOpKg73s2RYYcub2eTuTDK079b4YM8LON02v8txlx1YQkV9abvvW4jz1dir+Gjviy1er+saLs3Ju7ue78SoxMWQZEQIgzQNNr6WHfDIg6JqbHgt29A2j25Io6okwn/dFF3BXmNlxwf9DNUu2bTE2L6NKqsr4VjpXgPl2xW25K5q130L0ZxtJ1ejB3gh6rpGXsVRiqvzOikqcTEkGRHCoJrSMKpKIghUgEvXVIoOJuB2BX555e5M8i2l9UdRNTzuwE3/NI/Kie3JAce1xsmyI4bG6WicOBO82i7i0pFTdshQZV6AXIPPXxFckowIYZDH3bqXi2Zg3oh3m+07yUNrZZwBt6cbX6Xj0TpnRY+4tHkMrqpUUNBkBWa3IMmIEAZFJ9mwhrkMjNSJTq7HEhr4gzm5X5Wh5ME7nyRw0qKoGin927fOSnJUhqFxqqKSGp3VrvsWojkp0b0M9TbS0UmOyuyEiMTFkmRECIPMVo3x1x0P3M9Fhck3HTFU1GzkwpNYwwJ/c1NVnQGTT6EE2LeuqUy66WjgHbdCr7gBJEWmowQ4PaXpGpP6zGvXfQvRnIl95hiYwwSxYYn0SxraCRGJiyXJiBCtMOOug4RGOVtMClSTRkxKHZNuNJYQWMM8XPbt3QHHzb5vP4u+uwuTSffbkydjWBnD5uUb2rdRiqKwePjt/segMCxtAplx0jlXdLzU6CzG9JoRMEFePPwOw92hRXDJoyREK8Sk2Lj/+ZXEJHs77TYmBmd7zlRz//MrCYs2cjrHa8qtR1j0nZ0oqtawPW+zGUXVUBSdWV/ez7yv7yV9UCX3PvUZoVHebSuK3mTfvUeXcu+TqzFb2r9T8aCU0dwy/oELSq83vtEPz5jETeO+eUEJdyE6ynWjv8KYhk7NTRMOBZNq5oYxX2d4+oTgBCdaTcrBC9EGHrfC4XUZ7FmeRX1lCFEJdkYtzmXA5FNtroBaXRrKtncHkL8vAXRIH1zBhOuPEZtW32Scy+7tI3Pw8wyc9WZi0+oZd/UJeo080+Z+N0bZXfXszP+C46X7cWtOEiLTmNB7jlS6FEFzuqaQbSdXc7qmCJNqpm/iEMb1mkmYVbo4dwXSm0Z0Gl3XKa7Oo7L+DBZTCFnxA7CaQy9qm06bibzdibjsZmLT6kjNruzwD9rW8rgV8vYkYquyEhnvIHPEmRYTkeJjMVQURGIO9ZA14gwhEc0/j6vtFZyqOomu66RG9yI2PLEDb0HXcWB/JQVFlVgtZsaMTiYmtus1v6uoL6WkOh9FUUmP6UNUaGywQxKiy+uw3jTp6WlMGD8Bs8XM7t17OHbsmN/xo0ePZvz4cU0uczqdvPjiS63dteiCDpzaxspDbzcpLGQ1hTChz1wWDL6h1UmJ02Zi5VMj2fL2AJw2i+/ylAEVLPjmHobOKWy32NtK8yise3Ew618eTG15mO/ymNQ6Zt17gEk3HvUlToe/SGPFUyMpOpjgG2cJdTP+2uMs+NZuQiO9SUlZXQlL97/GgVPbmtRPGJQymoVDb+mxRx7WfF7A6uNLcCXs9F22fGUoyTXXcdfVC4hPCAlidF6nqk6y9MASjp7e47tMUVSGp01g4dBbiI9o37ouQlyKWnVk5LHHHmXmjJns3r0bj8fDokULeeXVV/nlLx9p8W++850Huefuu/jgww99l9ltdn7/2B8MBylHRrqmzbmreH/3f1BQLihApKCSHtub+6f9zHBC4rSZeP7+eRQejL+gIqmi6Oi6wtX/t4XJN/lPgDuSpsHrP5nK3mW9ubD4mQ4oTLn1MFf+cDs7P+zLW7+cjKJcWOq9cQnuV/+zgmr9JP9a90iz5dZVRcWkmrl/2s/JjOvXobets3348VE2uh7x9tk5f1KuZsJU3Z/vXflwUBOSvPKj/HvDo7g1N3ozj02oJZyvz3iExMjUIEUoRNfWIUdGVn+2hp/85GdomvdFOXHCBN577x0+/XQZmzZtavHvCgoL/SYsovspqy3mg93/BWi2EqKORlHlSVYeeovFw+8wtM2VT49sNhGBsx/mHz42gQGTSkjsXXMR0bfdjg/6tZCI4Lts42uDSB9Uzju/ngQ033NG11RKjsew9J+jyJvywxb7vmi6hu5x88rWv/PDBX/vMSsDThXZ2Oj4Hai699/5VA+e6OP8572P+cF913d+gHgLuL2y5e+4Pa5mn+OarmF31fP6tif41uzfBiFCIXqOVr2zLVu+3JeIAGzZuhWHw0H//v6/scVER3PrLTdz3XXXBhwruofNuSsJNIlDR2NL7mc43faA23PaTGx5e4D/Hi2AoupsfnNgq2JtL7oO618ZHHDuimLS+OzZ4Y2/tbw9TWX79hKKq/P81kzQ0aiylXGkZFfrg+6iPl69ExSP/8r6qofyuA8oPe3otLjOdbB4OzWOSr9lxzVdo7Aqh4KKE50YmRA9z0V9zZo7dw4hISHs2b3H77iwsDAmTZ7E1VddxcoVy/nlL3/hd7zVaiUyMtL3LyJCZkV3NQeLd1xw2Lo5To+DvPLAp1Xy9yXgrLcEHKd5VA6uMVYRtL3VloVSciy2+e6659A9KhVFkQETKwBP7xUoBO45oyomDvWgZCTfsREUA0uQTS62bG/fuilGHSnZbehIlKqoHD69q+MDEqIHa/UE1kbp6Wn8+U9/4vU33mTvvn0tjlu+fDlPPfU0Lpe3NsKUKZN54/UlbN68haVLlzb7Nw98+1s89ND32xqa6AROj/Fvqy7NGXiM3fhT0dmKse3JZQ+cNJxlcOmPpb5hzk0gOm5P4Puxu9BM9YbvIqcrOPPEXJozYIdmLwWXu+c8NkIEQ5uOjCQlJfH6ktc4cOAAP/7xw37HHjx4yJeIAGzcuIl9+/Yzc+aMFv/m8SeeJHvQEN+/MWPHtyVM0YHiw5MDVj9sFBsWeHlqbFqdoW0pqkZ8RsuToDpSZIId1WysEZxq0ox986/sg0bgberQo5b5hrl6gcdYcpecENPB0TQvNizR0HJyTdeI60GPjRDB0OpkJCkpibfefJ28vHzu+8r9OJ2t/0bgcjmJjopq8Xqn00ltba3vX12dsQ8q0Xkm9J4bsIW3gkJaTG/SYgI3T0sdUEX64PIWS5030jWVCV8Kzmoaa5iHUYtOBu5NY9LInl4EeoCXl6KTUHWFsYZfusbYXjNbE26XNr7PHDAFSMJ0UKuzmDQ5pXOCOs+4rJmG+p+YVBMjM6d0QkRC9FytSkYSExN5840lFBQU8uX7voLDceGh+rFjx3DXXXf6fh8wYECT67OzsxkxYgRbtm5tY8iiKxiRMYmEiBS/H6Q6OvMH32B4m/O/sadhnkXzSY5q0ojPrGHkZXnNXt8ZZt5zENWk+0qxn09RNaxhbq74wQ6S+1X6T1x0hcvuK2Rqv4V+96mgMLbXjB5Vz2Lu7CzM5SPA4+eUmwLjY+7GbArOCqLEyDRGZkwJeARwev/FhFlkXpsQF6NVr/LXXn2Z9PR0Nm7cyJ133sFXvnIfX/nKfYwdO8Y3Zs7s2fzfwz/2/f673/6a5597lu9+9zv8+pFf8cH77/L552t57bUl7XcrRKezmKzcN/UnxIV7PyDPfcNWFBUFhetG3ceQ1LGGtzl4ZhHX/XwzikqTRnSNR0vi0uu475lVWEKNnSrpCCn9q7jrH2swh3hQVG8PGS8dFJ3QSBdffno1CZm13v9neZcgn3vEx3sKR+fKH21jxIJ8Fg69xXfU49zkrvHnwaljuXbUfZ1y+zqL2azwzUXfxVw9yHuBds4pm4YEZZDtO1x79eAgRHfWl8Z8lUEpo4HmH5vxveewYMiNwQhNiB6lVUXPfv6zn2K2XPhNZvXqz1mzZg0As2fPZsrkSU2Kms2ZM5uxY8Zgs9nYuWsXGze2XJOkOVL0rOtyeZzsK9rMltzPqKgvxWIKYWjaOCb2mUdCRNsOr5flR7Ll7QEcWJ2Jy2YmLqOWCdcfZ8RlJ7GEtH8TuLaoLQ9h27v92f1pH+qrrUTG2xl7VQ5jrzrRpEme26myb1Uvtr49gLK8KCyhHgbPLGTSjUeb1ErRdZ2T5UfYlLOCvPKj6OhkxPZlct8F9E8c1mMb0NkdGitXnWDHqeU4QnNQtBCS3dO4bNJUBg8NzlyR82m6xvHS/WzKWUFRZQ6KotI7YRCT+84nK25gj31shGgP0ptGdCp7rZnasjAsoW6ik21dro9MRyk5Hk11SThxGbUk9g7OxFohhOiqOqw3jRDnOnU4ls9fGMq+FVloHu+h66S+VUy7/RDjrzve5g62Xd2yx0ey6fVsHHWNDd10wmIczLr3ADPvPhTU2IQQoruRZES02ZH1abz0vZnomuJLRABKc6N577cTObYplVse24Bq6vIH31rl2fvmkbsjhaYTbRVsVSEs/ftYCvYncNsf1wcrPCGE6HZ66PdW0dFqzoTy8kMz8LjVJokI4G18hsK+lVms+9+QoMTXUZY/ObIhEYELq3Z5f9+3Iostb/fv1LiEEKI7k2REtMnWd/vjcZkaEo+WKHzxymA8rp4zgWTjkmxaWnp8rtXPDQ84RgghhJckI6JN9iztjYF6UNSVh5K3p2dUpzxzMhJHrZXAdcwVqkrCcTvl5SWEEEbIu6VoE1u1kQ9lL3uNNfCgbqCqJLwVo5WG+0gIIUQgkoyINolMsGPkdAVARLy9Y4PpJPGZtRi9zaATFtszbrcQQnQ0SUZEm4y9OsfAgRGd2PRaMoeXdUZIHS4uvZ7IeCNJmE5Sn2rMslZNCCEMkWREtMnYq04QFuUM0NhOYfaX9/eoWiOzv7IvwAhvonLZA7s6PBYhhOgpetDHhOhMYVEu7n1qNSER7gsSksa+MtPvPMiE648HI7wOM/XWo4y+Igdv0nH+ERLv79PvPMiwuYWdHZoQQnRbciBZtFnmsHK+89bHbHo9m61v96e+KhRF1Rg45RRTbz1C9tRTwQ6xQ9z0200MmFTMqmdGUFEYifd8lU5S32oWPriLobMlERFCiNaQZKS70HW6YsOXmGQbCx/YzcIHduN2qqhmLeBpGb3hgEIXvDmGjb0ql7FX5aJpYKsxExbl7lGno4Khiz7FhRCdQJKRLizWeZqx5csZUbWOME8tDjWMg9FT2BZ/GWdCewU7vAuYrS3PH/G4FPYs683GJdkUHYoHIG1QBVNuPsLIy09itnSNbrxGFR+LYdOSbPYs6429zkJ4tJMxV+Yw+aYjJGRJwzyjbNUWtr47gM1vDqCyKBKTRWPA5FNMufUIAyYVS3IixCVCuvZ2Uf1qdvGlgr+h6hoqZz+oPago6Hyc/jX2xc4IYoTGOerN/O+BWeTuSEFRNXTNewih8efeY05zz+NrCInoHo/tzo/78NYvJqMoNCmFr5o0FFXn9r+sY/CMoiBG2D2cORnF81+dR01pWMPRMm/moZo0NI/KlFsOc+WPtktCIkQ3ZrRrrxxY7oLiHaf4UsHfMOnuJokIgAkNBZ0ri54ho/5IkCJsnbd/NYmTu5IAfInIuT/n7U7krV9ODkpsrZW3O5G3fjHlguaA4E1MPG6VVx6awemc6CBF2D24nSr/+eYcastC0Rt6GTVqvF83LhnE+lcGBSlCIURnkmSkCxpfvgxF11os46EAGgqTyj7qzLDapCw/kn0rejdJQs6nayr7V2VRlhfZiZG1zdr/DUFRdFossqIr6JrCxteyOzWu7mbfql5UFkVe2GTxPJ//d1iP6m0khGieJCNdja4zonItJvzPoTChkV2zgxBPXScF1ja7PunjW+rrj2LS2PlJ306IqO3stWYOfp4Z8ANU86js+LCfb6KuuNCOD/oFqFHjVVceyvGtqZ0QkRAimCQZ6WLMuhOr7jA0VkEn3FPTwRFdnNqy0IYjCf4pCtSeCe2EiNquriIUXTP2Ld1lN+O0yfzwllSfDvd7tOxcXf15IYS4eJKMdDFuxYKnFQ+LQw3rwGguXkiEC3QDH+A6hES6Oj6gixDaivgUVcMS4unAaLq3sGgHRvv8dPXnhRDi4kky0tUoKkeixgdMSDQUCsIGUG+O6aTA2mbYvIKApzXAe2pj+Lz8Toio7SLiHGSNKg14ekE1aQydU4BqkvM0LRm+IN9Q02dLqJsBk4o7PiAhRFBJMtIFbU1YFHDOiIrOloTFnRRR22UOKyNz2BlUP/NGVJNGxpCybtFQb/odhwKeXtA8KlNvO9xJEXVPY686gTXMjaK0/LxQVJ2JXzrWbZZ8CyHaTpKRLqgwfBArU24HvEdAztX4++b4xRyOmtjpsbWWosBtf/qCyAR7swmJatKIiLdz25+/6Bb1JIbNy2fG3QcALuzJ0/D75d/bQd+xpZ0eW3cSFuXizr+txWTRm3le6CiKTu/Rp6XhoBCXCJlh10VtTVhMuTWNyWUfklV/9lv26dDebE64ggPRU7pN7ezYtHq+9epS1v53KFvf6Y/TZgHAGuZi/HXHmXXvAaIS7UGO0hhFgUXf2UX64ArWvTiEooPxvuuyRp1h1j0HGDxTCp4Z0X9iCd94aRlr/j2MfSt7+Y44RSfbmHLLYabdfthvVV8hRM8hFVi7gUhXORHuamymCKqtScEO56K47CbKCrz1ROIzarGGde9JnhVF4diqQ4iItxOTbAt2ON1WfZWVquJwzCEeEnrVynwbIXoIoxVY5chIN1BriafWEh94YDdgCfWQOqAq2GG0m7j0euLS64MdxkXRNJ2NG4v54uAaaqyHUHQTCdo4FkyYyrDhcW3apr3WzM6P+rHr097UVYQSGW9n9OIcxlyR2+wckPAYJ+Exzou9KUKIbkqSESEuYfV1Hv7+2kvUJq2AeDOYvInCac9xXjn+Kr123MfX7piDqho/JZi3J4EXvj0be63Ve4GuUF4QSd7uRFY8NYp7n1xN5rDyjrg5QohuSiawCnEJe3zJm9QmrPL+YjrniEXDz/kx/+bF17cY3l55QQT/+cZcHHUWb32ZxhozDf1n7DUW/v31uVQUhbfTLRBC9ASSjAhxiTp0oIqqxA8hQN2UI6b/UFtrbK7WFy8Pwe0wtbj8WddUXDYzG1+TBnhCiLMkGRHiErVq6xbwGDhTa61l5erjAYe5XSrb3+9nqHfP1nf7o3m6x2owIUTHk2REiEtUtbsYVAOrmTQLpVWB66bUV1px2Y1NQ3PUWbHXWAyNFUL0fJKMCHGJMhECuoG3AEXDYgqcOLS2F49ZevcIIRpIMiLEJWpA4ghjR0ZUD2OGDgg4LCzaRfrg8oC9exRVo9eI0m5fY0YI0X4kGRHiErVowUCwx4K/XjseE9aycYwalWBom1NvPRywd4+uqUy99UgrIhVC9HSSjAhxiQoPN3NZyv95T9U0l0B4TOCM5vZpXzG8zdFX5jB8wUlQWqqgqjPq8hxGLDzZtqCFED2SJCNCXMJmz87kmvQ/Yq0Y1/QKXSGyfC5fmfB7Bg6KNrw9VYVbfr+B+d/YQ1iMo8l14TF2Lvv2bm787UZUeecRQpxDKrAKcYmbNDmFSZO/y4H9lZw4eQZVVRg+JI2s3m0rTKaadObev5+Zdx8kZ3sy9ZUhhMc56DvuNGaLNL4TQlxIkhEhBABDh8UydFhsu23PbNUYOKW43bYnhOi55GCpEEIIIYJKkhEhhBBCBJUkI0IIIYQIKklGhBBCCBFUkowIIYQQIqgkGRFCCCFEUEkyIoQQQoigkmRECCGEEEElyYgQQgghgkqSESGEEEIElSQjQgghhAgq6U0jOo3mUTj8RTqFB+IByBhazqDpRaimltrNCyGEuBS0KhlRFIWFCxcyZcokLGYLu3bv5u2338Hj8fj9u9TUVO6843YyMjPIycnlf/97kcrKyouJW3QzB9dk8N6jE6gpDUc1eTu3ah6VqEQb1/xkC0PnFAY5QiGEEMHSqtM077/3Dl+6/jry8ws4duwYDz74AG+/9QYWi6XFv8lIT2fZ0k8YPnwYO3bsZMb06Xz6yUfExsZebOyimziwOpOXvz+TmjNhgDcJ0Tzep15NWSgvPzSTfasygxmiEEKIIGrVkZFvfONbFBYV+X5fvmIlWzZvZO6cOSxbvrzZv/ne977L6dOnuffLX0HTNN54403Wf7GO++//Cn/6058vLnrR5bmdKm8/MgkdQFcuHKAroOi8++tJDJ5RhNmqdXaIQgghgqxVR0bOTUQASkpKcDqdfo9yzJ07l08++RRN837I2O12Vqxcwfx5c1sfreh29q/qha0qpPlEpJGuYKsOYd+qXp0XmBBCiC7jolbT3HH7bSiKwoaNG5u9PjQ0lNTUlAuSmIKCQrKyslrcrtVqJTIy0vcvIiLiYsIUQZS3NxHV7H9OEYBq1sjbndgJEQkhhOhq2ryaZuKECfz85z/j0d8/Rn5+frNjQkJCAKirq2tyeX1dne+65jzw7W/x0EPfb2toogvRDZ910dH9HT0RQgjRY7UpGRkzZjQvvvgCzz33PM8882yL4+rq6vB4PBecxomLi6O6urrFv3v8iSd55tnnfL9HRESwc8e2toQqgix1YCWaO/ABOM2tkjqgsuMDEkII0eW0+jTN6NGjefWVl3nppZf5/WN/8DvW7XZz9OgxBg8a1OTywYMHc+jQoRb/zul0Ultb6/t3/pEV0X2MWnQSS2jg0zSWEA+jF+d2fEBCCCG6nFYlIyNHjuS1V72JyO8e/X2zY664YjF/+fOffL+/8+67XH31VaSkpAAwYMAA5s6dw9vvvHsRYYvuIiTCzaLv7Ao4buGDuwiJcHd8QEIIIbqcVp2meenFFzCZTPTq1Yunn3rSd/lHH3/Mxx9/AsDgQYNYvPhyHvrBDwF49tnnmDhxAitXLGPv3n2MGTOaDz/6iLfeersdb4boyqbccgTNo7D0H6O9p2yUhoqruoJq0lj44G6m3nYkuEEKIYQImlYlIz/92c8xqaYLLj927Ljv548+/oQDBw/6fnc6ndx11z2MGDGCjIwMHvn1bzh8+PBFhCy6o2m3H2bMlTns+KAfBQ3l4DOHljP2qhOExzqDHJ0QQohgUtLSM7t8Y5DIyEiOHD7IX/a8gVOTQ/lCCCFEd2BVzTw08iayBw2htra2xXHStVcIIYQQQSXJiBBCCCGCSpIRIYQQQgSVJCNCCCGECCpJRoQQQggRVJKMCCGEECKoJBkRQgghRFBJMiKEEEKIoJJkRAghhBBBJcmIEEIIIYJKkhEhhBBCBJUkI0IIIYQIKklGhBBCCBFUkowIIYQQIqgkGRFCCCFEUEkyIoQQQoigMgc7gNawqt0qXCGEEOKSZvRzu1t8ukdERADwwPDrgxyJEEIIIVorIiKC2traFq9X0tIz9U6Mp81SUlKoq6szPD4iIoKdO7YxZuz4Vv2d6Hjy2HRd8th0XfLYdF3y2PgXERFBSUmJ3zHd4sgIEPCGtKSurs5vNiaCRx6brksem65LHpuuSx6b5hm5T2QCqxBCCCGCSpIRIYQQQgRVj01GnE4nf/nLX3E6ncEORZxHHpuuSx6brksem65LHpuL120msAohhBCiZ+qxR0aEEEII0T1IMiKEEEKIoJJkRAghhBBB1W3qjLTFyJEj6dunD+s3bODMmTPBDueSd9VVV6IqTfPfvfv2cuJETpAiEucbOnQImRmZ7N+/n8KiomCHc8kbMmQw2QOzm73ugw8/RNdlyl+wDR06hF6Zvaiqrmb3rl3Y7PZgh9Qt9dhkpE+fPrzy8oskJCRw8y23sm7dF8EO6ZL35BOPs2XLVkpLS32XVddUSzLSBSQlJfH8c8/Qq1cWO3fupF+/vrzxxps8/a9ngh3aJW1Q9iAWLrysyWWTJk1CVRU++PDDIEUlAKKjo3n5pf+RlZXFzp27yOyVSVpqKl/7+jdYv35DsMPrdnpkMmKxWHj6qSd56qmn+fnPfxbscMQ5nnjyKdasWRPsMMR5/vOf53HYHUybNh2b3Y6iKMybNzfYYV3y3nv/fd57/33f7yEhIezcsY2XXnpZjooE2V133Um//v2ZOnU61dXVADz15BP86le/ZMGChUGOrvvpkXNGfvKT/+PosaNNXsSiaxgyeBCLFi5k6NAhKIoS7HAEMGPGdMaNHcuvfvWI7xCzruusXLkqyJGJ8y1efDnR0dG8tuT1YIdyyQuxWqmqrPIlIgB5+flYLZYgRtV99bgjI3PnzmHRwstYcNkioqIigx2OOIeu69xwww0UFhUyetQoCguL+NrXv0FeXl6wQ7ukTZ40ibKyMg4dPszUqVOwWkM4ePBgm/tBiY5z6623sH7DBnJzc4MdyiXvvy/8j1mzZvLkE4/z+dq1ZGZkcO01V/OjHz0c7NC6pR6VjCQnJ/OXP/+Jr33tG9TW1koy0sXcc++XWb16DQCRkZG8+spLPP7Pv3PNtdcHN7BLXEJiArW1tbz37jvY7XY8Hjfjx0/gb3//O0888WSwwxMNsrKymDplCt/61gPBDkXgbf62bfsOrrryCiIiIsjMzCQvP5/8gvxgh9Yt9ahk5Oc/+yk5ObmkpaVxzdVXExsXC8CUKVNwudxs2rQpuAFe4hoTEfC+kJ96+hn+8+/niI2NpbKyMmhxXeocDge9e/fmH/94nCWvew//X375Ip579hlWr17N/v0HghyhALjllpuprKzk06VLgx2KAH70wx9wxeLLmTf/Mt+pmscee5SXX3qJGTNnoWlakCPsXnrUnJHDhw9TUlLCokULWbRoIbNnzQJgwoTxjB83NsjRifPV1tYAkJAQH+RILm0nc08C8PEnn/guW7ZsOZqmMWL4iGCFJc6hqio33XQjb771tvQ/6SImT57M2rXrmswZ+fjjT+jbtw/p6elBjKx76lFHRp548qkmv6elpbJw4WX885+Py9LeIEtMTLyg1sviyy+nvKKC3IYPQxEcK1d9xiOP/IoBA/qzc+cugP9v7/5ZEojjOI5/hnsAToVxBYb6DGqTJEG3Wips7Q/UHD2EaoigGvT6M9cQarXVUF01uTiLm4JNRY7CHbQ01Nb2Pe39Gm/6jG+4H7+fJhMJOY6jLneNREI2O6OxeFwXF5fWU/Ct+9ZVKpX89S2VTCoIgl/XF+BvhipGEF3T01Pa3NzQ3d29Pt7flclkVCjktbW1rTAMref9a+12W+WypxOvrNOzc4VBoJXVFfn+s15eifgoWC4WVa/X1Wq1rKfgW6nkqVq5kueV9PToa3xiXOtrqyqVPfX7fet5A2eoX+2NxWLa293R4dGxms2m9Zx/L51Oa35+TqMjI2p3OqrVrtXpcNgrKgr5vHK5WQVhqEajoUqlyn/vCHAcRwcH+7q5udXDw6P1HPzguq6WFhfkuq4+ez35/rN837eeNZCGOkYAAED0DdUBVgAAMHiIEQAAYIoYAQAApogRAABgihgBAACmiBEAAGCKGAEAAKaIEQAAYIoYAQAApogRAABgihgBAACmiBEAAGDqC93KwiGFPNHcAAAAAElFTkSuQmCC" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.29 = -1.0 * 2.9 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.43 = -1.0 * 4.3 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.58 = -1.0 * 5.8 * 0.1\n", - "-0.40 = -1.0 * 4.0 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.41 = -1.0 * 4.1 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.42 = -1.0 * 4.2 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.45 = -1.0 * 4.5 * 0.1\n", - "-0.23 = -1.0 * 2.3 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.53 = -1.0 * 5.3 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 7.0 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.9 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 6.5 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 4.9 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.2 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.0 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.8 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.4 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 3.4 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.1 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.71 = 1.0 * 7.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.76 = 1.0 * 7.6 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.49 = 1.0 * 4.9 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.73 = 1.0 * 7.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.36 = 1.0 * 3.6 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.57 = 1.0 * 5.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.22 = 1.0 * 2.2 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.56 = 1.0 * 5.6 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.74 = 1.0 * 7.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.79 = 1.0 * 7.9 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.59 = 1.0 * 5.9 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "5.689999999999995\n", - "#7 err:0.6666666666666666\n", - "[[ 0.28677805]\n", - " [39.75017307]]\n", - "[[0.]]\n" - ] - }, - { - "data": { - "text/plain": [ - "
" - ], - "image/png": 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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.29 = -1.0 * 2.9 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.43 = -1.0 * 4.3 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.58 = -1.0 * 5.8 * 0.1\n", - "-0.40 = -1.0 * 4.0 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.41 = -1.0 * 4.1 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.42 = -1.0 * 4.2 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.45 = -1.0 * 4.5 * 0.1\n", - "-0.23 = -1.0 * 2.3 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.53 = -1.0 * 5.3 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 7.0 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.9 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 6.5 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 4.9 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.2 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.0 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.8 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.4 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 3.4 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.1 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.71 = 1.0 * 7.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.76 = 1.0 * 7.6 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.49 = 1.0 * 4.9 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.73 = 1.0 * 7.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.36 = 1.0 * 3.6 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.57 = 1.0 * 5.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.22 = 1.0 * 2.2 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.56 = 1.0 * 5.6 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.74 = 1.0 * 7.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.79 = 1.0 * 7.9 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.59 = 1.0 * 5.9 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "5.689999999999995\n", - "#8 err:0.6666666666666666\n", - "[[ 0.28677805]\n", - " [45.44017307]]\n", - "[[0.]]\n" - ] - }, - { - "data": { - "text/plain": [ - "
" - ], - "image/png": 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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.29 = -1.0 * 2.9 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.43 = -1.0 * 4.3 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.58 = -1.0 * 5.8 * 0.1\n", - "-0.40 = -1.0 * 4.0 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.41 = -1.0 * 4.1 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.42 = -1.0 * 4.2 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.45 = -1.0 * 4.5 * 0.1\n", - "-0.23 = -1.0 * 2.3 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.53 = -1.0 * 5.3 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 7.0 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.9 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 6.5 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 4.9 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.2 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.0 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.8 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.4 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 3.4 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.1 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.71 = 1.0 * 7.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.76 = 1.0 * 7.6 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.49 = 1.0 * 4.9 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.73 = 1.0 * 7.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.36 = 1.0 * 3.6 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.57 = 1.0 * 5.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.22 = 1.0 * 2.2 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.56 = 1.0 * 5.6 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.74 = 1.0 * 7.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.79 = 1.0 * 7.9 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.59 = 1.0 * 5.9 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "5.689999999999995\n", - "#9 err:0.6666666666666666\n", - "[[ 0.28677805]\n", - " [51.13017307]]\n", - "[[0.]]\n" - ] - }, - { - "data": { - "text/plain": [ - "
" - ], - "image/png": 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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.29 = -1.0 * 2.9 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.43 = -1.0 * 4.3 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.58 = -1.0 * 5.8 * 0.1\n", - "-0.40 = -1.0 * 4.0 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.41 = -1.0 * 4.1 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.42 = -1.0 * 4.2 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.45 = -1.0 * 4.5 * 0.1\n", - "-0.23 = -1.0 * 2.3 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.53 = -1.0 * 5.3 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 7.0 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.9 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 6.5 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 4.9 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.2 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.0 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.8 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.4 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 3.4 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.1 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.71 = 1.0 * 7.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.76 = 1.0 * 7.6 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.49 = 1.0 * 4.9 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.73 = 1.0 * 7.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.36 = 1.0 * 3.6 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.57 = 1.0 * 5.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.22 = 1.0 * 2.2 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.56 = 1.0 * 5.6 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.74 = 1.0 * 7.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.79 = 1.0 * 7.9 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.59 = 1.0 * 5.9 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "5.689999999999995\n", - "#10 err:0.6666666666666666\n", - "[[ 0.28677805]\n", - " [56.82017307]]\n", - "[[0.]]\n" - ] - }, - { - "data": { - "text/plain": [ - "
" - ], - "image/png": 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HPBTg8+QbOiMkIYS4pEgyIoSq8kXS9UDLJ2F0oNSawfGocZ0WlhBCXCokGREC2Jh0LRsSrwa8icf5/05be/Gffr8NXoBCCNGDSQVWIRqsTb6ZLfGXM7fkNXrXH0TRNaosSaxOuZmi8OxghyeEED2WJCOiS0q25TK99B1CNBslIVl8lnwzmKwdvl+7OZpPMr7W4ftpSayzhDTbCRR0SkJ7S/8ZIQLQdZ2iqlxKa4swKWay4gcSExZ/Udt0uh0cP7Mfu6ueyJBo+iUOxaTKx2VHkntXdCmJtpPcmfsbQnSbb4VLn/oDTKxYysnwobzW56dBja+jJNoLmF/yIn3r9je5PD8sm1Wpd3AqrH+QIhOi6zp6eg+f7n+N4uo832UKCkPTxnPFiDuJDUto1fbcHhcrD73NppzlOD0O3+UR1ihmDryK6f0XoyhG1t6J1pI5I6LLSLDl85WcnzRJRM7Vp/4A9x/9YafH1dGS7bncnftLetcdvOC6DNtR7sj9NZl1h4IQmRBd197Czbyw8Y8UVzftHq+jc7B4O099/nMq688Y3p5Hc/Pi5r+w7thHTRIRgDpnDZ/uf5X39/wXXZdaQx1BkhHRZdyR550g2lwi0nhZoquIMeXLOy2mDqfrXFPwJGbN2WzxNRUdVfdwXeE/UXRPEAIUouuxOet4c8fT6L4p5k1puka9s4Z3dz1veJubclZwrHRfwzabtyV3FUdO725LyCIASUZElxDjLCbMUxuw+JgOzDz9dmeE1Cl61R8i0Vnktwqsik6ku4qBNTs6MTIhuq4d+Wtxa26/YzRd42jpXspqiwNuT9M1NpxYRqAKy6qisuH40taEKgySZER0CZPPfGSoCqoChGm1HR1Op+lbtxePgZehBxN96/Z0QkRCdH1HTu/BaGuGY2f2BxxTWX+GivrSgOM0XePYmf1yqqYDSDIiugSrZg92CEFh1pw0f2LqfDpmzdXR4QjRLbg8TkPjFBTcnsCvG3crXlu6rqHprelnJYyQZER0CXnhQwyN0wGtBz1tK60phhr1KQ1jhRCQGJmKqgR+H9DRSYhIDjguOjQOVTEZ2nd0aBwm1dhYYVzPeVcX3dru+HloKIb6wxhNXLqDAzFT8Rh4E1TQ2RM7sxMiEqLrm5A1x9DRiQhrNAOTRwUcF2oJZ0TG5IAJjoLCxD7zDMcpjJNkRHQZu2NnAf77w+jA++nf6qyQOpzdFMGmhKv8JmE6Cjvi5lJjaV3NBCF6qsy4/mQnj0IJkDxcNvQmw0cxZg+8GlUxobRw2lRRVCJCoiUZ6SCSjIguY2n6/ZyIGAE0TUjO/fnVXj/GZo3p1Lg62rqk69kWdxlAk8msjT/vi5nGytS7ghKbEF2RoijcOuFB+icOA2hyRKMxQVk49BYm9J5jeJsp0ZncM+VHWM0hnDuPqzE5iQqJ4SvTfkpkSHQ73AJxPiUtPbPLTwuOjIzkyOGD/GXPGzgDLOcS3V9W7T4Wn/o3Ma5SFHQ8mDgeOZr3M76BxxQW7PA6TLL9JGMqVpJZfwQFnaLQ/uyMny/VV4Voga7rnDhzgM25qzhdU4CqmBiQNJxJfeeTENG2OVY2Vx0789axu3AjNlcd0aFxjO01gxEZk7F0QkuKnsaqmnlo5E1kDxpCbW3LKyElGRFdk66R4DyFRXNSbYmn3nzxR0NCPHXEOk+jKSbKrWl4VEuz41TdTbzjFCbdTZU1Cbsp8qL3LYQQlyKjyYj0phFdiqJ7GF++jAllS4lxlwHe0zTHI0axIek6CsMHtnqbcY5ipp15l6FVGzHhrWJqUyPYGTePjYlX4TSFA2DR7Ew+8xFjK1YS7qkBvCt3DkZPYn3StZSFZLbPjRRCCNGEJCOiy1B1N1/K/xv9a3c1uVzBWxysX91e3st8gMPREw1vM9WWw20nf4tZc2I6ZwltmFbH5LKPGFiznZf7/gINldtP/o5ke16TpbYqGoOrNzOwZjtLev8fheHZF3szhRBCnEcmsIouY8qZD+hfuxuFC8uAmdBQ0Lim4AmiXGWGtqfqbm7M/xOW8xIR3/V4TwUtKvo384tfuiAROXffZt3FjXl/xqw5LrheCCHExZFkRHQJqu5mfPkyv5VGvEmKzpiKzwxtc1D1ViLdVQH6vmgMqtnK8KovAvaHCdXqGFq10dC+hRBCGCfJiOgS0uuPEe4J3HOm8bSJEdk1W9EMlFpX0Js9cnI+HYVBNVsN7VsIIYRxkoyILiFUqzc8NsRjbGyIx4ZqoJmWjmIgFWk4OmJw30IIIYyTZER0CbXmOEPjdKDWYmxsrSXOUEdcBd3QC0FDpdrgvoUQQhgnyYjoEopD+1BmTTXUFLyxbHwg+2KmGTr94las2JXQgONUNPbFSH8YIYRob5KMiK5BUVifeJ3fGR4aKvWmaPbFTDe0ybzwoRSF9vN7dEQHtsYvZHPilX4TIQ2V0yGZnIgcaWjfQgghjJNkRHQZ+2OnszbpBqBpjxYd0FCwmSJ5rff/+YqUBaQovJn1A8qtab5tNNIatn8gegprk29kQ+I17I6Z1ey+daDSmswbWT9CN9C2XAghROtI0TPRpaxPuo7ciGGMK1/OgNqdmDUnNZZ4dsXNZVfsXGzmqFZtr94cwwv9fsPwqi8YV76CBEcRmqKSHz6Y7fGXcSxyDCjeJOXT9Ps5HDOJcWXL6F1/EFX3UG5NZWf8fPbGzMDZg/viCCFEMEky0pPoOmbdhaaoaErXfWhNmgugxd4wheHZ7Vrp1K2GsCtuHrviArT+VhRORI7iROSodtu3EF2Vpmu4PU4sphAUJfASeCE6Utf9xBKGhblrGFOxkrEVK4lyVwJQGNqfbQkLORg9pUucWjBrTkZWrmF8+XISnKcAKLOmsj1+IbtjZ+FWQ4IcoRCXhpwzB1l/YhkHi7ej6xoWk5WxvWYytd9CkqLSgx2euERJMtLNxTpLuD33N0S6K5tUL02zn+CawqcYXL2F9zIfCOqRkhBPHbeefJRUe26Ty+OdxSwo/h8jKz/ntd4/wW6KCE6AQlwi1h79kKUHlqAqKrruXWnm8jjZevIztuWt4Y6J32NQyujgBikuScH/yizaTNE93HzyD0S4q1DRm6xEaSz2lV2znZmn3wxOgA2uKnyKFHveBT1nGn9PtudxVcGTwQlOiEvEwVPbWXpgCeA9RXMuTdfwaG5e3vI3yutOByM8cYmTZKQbG1C7k3hXid9aGgo648qXY/XYOjGys+IdRQys3RWwP8yAut0kOAo7MTIhLi2fH/0QJUB7BE3X2Jy7spMiEuIsSUa6sWGV631LVP2x6k4G1O7shIguNKxqg6EYNVSGVW3ohIiEuPRU2srIqziKHqCsoK5r7Mhb20lRCXGWJCPdWKCOtI00FMLd1Z0Q0YXCPTXnnUBqnh7EGIXo6eocxl9b9c7ADSuFaG+SjHRj9aZIQ11pVfSgTQ61q+FgqMi7jk0msArRIcIsxl9bIRappyM6nyQj3dihmMmGutK6FTPHosZ0QkQXOhgzyVB/GBMah6IndUJEQlx64sKTSIvOCjhnRFVURmVM7aSohDhLkpFu7HDUBGrMsX7nZGgo7ImZhd0U2YmRnXU6tA95YYP89ofRUCkIy6YkrG8nRibEpUNRFGYMuDLwnBFgct8FnROUEOeQZKQb86gW3sj6EQ419IKExNtTRaEwLJtVqbcHJ8AG72U+QLUlsdmkSUOlypLAu5kPBiEyIS4dozKnMq3f5QAo570WVUVFQeHGMV8nJTozGOGJS5wUPevmTof25j/9HmVS2SeMrFyDVXcCUGVJZFv8InbEzW+x7HpnqbPE8UK/3zChbCljK1YQ7vFOkKs3RbIzbj5bEi4P2pEbIS4ViqKwePjtZCUM5Itjn5Bfccx7OQqDU8cxc8AVZMUPDHKU4lKlpKVnGpldGFSRkZEcOXyQv+x5A6fmDnY4XZZJcxLprkRTTNSY46ALlIE/n6q7iXRVAFBrievSPXSE6MlqHdU43DYirFGEWgx2whailayqmYdG3kT2oCHU1ra8UqtTPglMJlOT33VdR9MCT2oUreNRrVRZk4MdRvM0jYnlnzKh7BMiPVUA1Jli2JqwiM3xV4B6NnHqU7OXOaeXkOTIQ0HHpVg5FD2Jz1JuxW6O9o0L8dQxonIdIys/J8JdhcMUzsHoyeyMm0utJb5Db06Eu5LRFasZWrWBUE8d9eZo9sbMYG/szFZ3FhYiGCJDookMiQ48UIhO0KojI6mpqTz4wLe57LIFxMXFk5OTwzPPPsubb77V4t985zsP8uMf/RC3++wRjerqaoaPMN4ZVY6MdG9mzc5Xj/2QGHc5OmdLwjf+XG2O45kBf8athnJVwZMMq/YWPzt3HHjnl7za+ycURAwhxZbDLXmPEeapg3MqmWioaIrKe5kPcDRqfIfcnr61e/hS/l8x6W6Uhn03ztFxqmG8nvUjisLlcLcQQhg9MtKq4/i33XoLO3ftYtHlVzBs+Aiee+55/vqXPzNnzmy/f7d9xw6yevf1/WtNIiK6v3tO/IJodzlwYW8agCh3Bfee+DkzTr/B8OoNLfawUdG47eSjxNvzufXk7wn11PuSgUYqGibdzXX5/yTVdqLdb0uSPY8b8v+CSXc36QfkjU/Hqtm4Je8PRLvOtPu+hRCip2pVMvLXv/2dN998izNnzmC323n9jTcoLi5mzOjRHRSe6O5SbCdIdBb6rW6gAAnOIiad+cjvwsPGhOSawqcJ0WwtVp/17ktnypkP2hp2iyaVfYSiay3Wd1HRsWgOxpUvb/d9CyFET9WmGY4mk4moqChuveVmYmJiWL58hd/xw4YO5fixoxzYv5dXX3mZYcOGtilY0f3MOt3yKbzzWfAYqCcLKY6TAcvgm9DIrtlGmLvG8P4DsWh2hlZtCljETUVjdMVnoHf5ueFCCNEltHoCa3Z2NitXLMNsNmOz2fnhj37Evv37WxxfUlzCg9/5LqtXryEmJpqHH/4x77z9FnPnLaCwsPkurVarFavV6vs9IkLKhHdX0e6ydt2ekWSlkYpOhLuy3SaURrirMeExNDZUs2HRHbiU0HbZtxBC9GStTkaOHDlCVu++hIeHc/VVV/HXv/yZ+rp6li5b1uz4Ja+/7vu5rq6O73//B2zatIHbbruVP/3pz83+zQPf/hYPPfT91oYmuiCXYg08qJXOnQQbiFsNabf9ulTjt0UH3Epw67sIIUR30eZCFPX19Sx5/XVWrfqM22+/zfDfud1uTpw4Qd8+fVoc8/gTT5I9aIjv35ixHbMqQnS8AzGTDSUOjStSAtHxNt/zV14evGXwyy0pVFqSDGzVmDpTDCUhWQGbE2qonIgYga6Y/I4TQgjhddFVsaxWK5p+9hy6oiioasubtVgsDOg/gOLi4hbHOJ1Oamtrff/q6uouNkwRJFvjLseNyW+ioQNuTJyy9jGUkGxIuCbgvA0Fna0Ji0BpzYmdABSFrQmLAjYnVNHYHr+o/fYrhBA9XKuSkX8//xxTpkwmJiaGlJQUvvH1rzF79iyWLDl7Kub73/su+/ft8f3+/HPPMm3aVGJiYujbtw+P//MfREVF8vIrr7TfrRBdl+qt+QHNH/lovOz9zG/zep8f41RC/I7bHzONLUlXsj7xGr/bPBI1np1x8y8u9mbsjZnBvuipDXVFmo9xS/zlHI+U5etCCGFUq+aMPPX003znOw8ydswYXC4XR44c4c677mHNmjW+MZqm4fGcneT35FNP8b3vfZexY8Zgs9nYuWsXi6+4ihMnctrtRoiu7Wj0BJb0epgrTj1DlLuiSTGzGlMcn6R/lZyokQA8NfDv3JT3Z9Ltx5ucDHErVjYnLGZd8o0ArE2+iQprKlNL3yPeVeIbV2eKZmvCIjYlXIneEeXwFZUPM75BSVgfJpZ9QpS70ndVlSWJjYlXsyt2TvsekRFCiB5OetOITpVky2VA7S4AjkWOpjSsT7PjQt21DK9aR6injpLQ3hyNntD8BnWdVHsOke5K7KYIisL6d1q/G0X3kG47TpinljpzDKdC+3bJfkBCCBEsXao3jeh4ifZ8RleuJtFRiEcxczJ86EX1STFrdmaXvM6gmq1YNAcOUwS7YmezMeFKUNv2tEmvP8LcktdIcBQB0L92N5+l3EpReHaTcRbNzqCaLfSuO4hFsxPlrqDeHENh2MCmRxx0jb51+xhe9QWRrgpspkgOR0/kcPSENickMc4SFhS/RJrtOKruocaSwLqk65tNhnTFROF5sXdXZ05GseXtARQfjUU1afQZU8q4a08QlWBv0/Y8modDxTvYU7SJOkc1kSExjMqYwqDUMajnJWyFlTlsO7mGM7WnsJisDEgewdheM6R5mxCXEDky0s2pupvFRc8xouoLPKiY0Hx9UjTFxNK0L7M3dlartjmkcgNXFz2Fiu5bRtv4f5di4eXeP6M4fIDxDWoat5/8Hb1sh4ALe87khw3ild4/A1WlT+1eri/4B1bNho6Ciu67XbnhQ3mn13dxmCKIcpVxU96fSHbk+67XGsbXmmN5o9cPKAnr26rbvajoeUZXrvb9fu7trjQn8u9+v8dp7lkfkJpH4cM/jmPzG9moJg3NowI6igqKorP4+zuYetuRVm2ztKaIFzb9kYr6UhRFRdcbHxmNhIgU7p78IxIjU3G6Hbyx/SkOFG9DVdRzJsIrWEwWbhz7DYanT2z32yyE6Dwd0ptGdD1XFD3LsKr1AL4VJo19Uky6myuLnmVQ9RbD2+tVd4Brip5EaUgVzu29AmDWXdyV+2sincaLmd2c/0eybIda7DmTZTvMLXl/IL3+GDfl/QmLZvfdhnNvV1b9IW7K+xMh7hpuy/0diY7CJtc3jg93V3Pbyd8R6yzBqNklrzGmIRE5N87G/8e4z3Dfif8zvL3u4uO/jGXzm96mft5EBEBB1xQ0j8pHfxrPtnf7Gd5etb2CZ9f/hiqb9/mhNyQYesNjVFFfynNf/IYaeyWvbfsnB4t3ePetn7s6SsflcfHa1n9y9PQehBA9nyQj3Viy/STDq9a3uNS08Zv9vJJXQPe/FLbRolP/8f1tS9tU8bCw+H+GthftLKVv3d6A4/rU72NeyUso6H76vmhk2o4yr+RV4lynWywJr6Jh0RzGe9NobiaWfeK3mJoCxLrPMLhqg7FtdgMVRRFsXJINur/Jtjqf/mMMbpext4oNx5dS76w9L7k4S9M1ah3VLN3/GodLdvmSlOb2qwOf7H8VXcrqC9HjSTLSjY2u+Cxg8S8FiHGdoXfdgYDbC3dXkeA8ZahIWf/anYZinFvyqqFxAJm2YwF7znhQGVK9iUAl0kxoDK/6AqvHFnC/E8uXYQpYysy7x+ln3g+4ve5i67v9UZRAH/QKtqoQDq7JCLg9j+Zhy8nPfEdDWqKjsadoE4qBe7ykOp/CSll5J0RPJ8lIN5boKAhY/Au81UgTnc33ATpXmu24oUREwfthrxqYv5PgPGVgi8aZ0LDoTkNxmnU30a7Ap5PSbMcNFVtTgCgD2+suSk9Eo/s9KuKlmjVOn4gJOK7eWYPdVW9o3x7N3XDsI7DS2sDPXSFE9ybJSDemKWaDH6I6GoFLk7tb0UdGx1v2PBAjYzqSZqAku2ZwdVDjxOCeQjXrBo6MeJsPm8yBk161g8rfq520VFsIETySjHRjeeFDDH04KkBexOCA4/LDs9F8U1dbpgMONQz8lP1vlBM5wvDRFiOJiweVOlOMobF1pmgqrMkBxx2INtY/B6A4tHUrdLqyvuNOGzoyontU+o47HXBcuDWSxIjUgOMUFMKtkSgGarIoKPSOHxhwnBCie5NkpBvbFTcnYDKioZIXPoiykMyA29NUKyfDhwYcpwC7YmcbinFt0pcCJjjeoywK+2KmBkwyTGhsTlgccG6JhsL2+AWGmtUdjxqLXQ0zdJRpVertBkZ1D6MX52AJ8eBv/o2iaiT3ryRr1JmA21MUhSn9FgYcp6Mzrf/lAeeWKIrKoJQxxIYnBtymEKJ7k2SkG6s3x7Ai9W6g+Y8TDRWXGsLStPsMb/O9zG/jUqwtfjzpQLU5jtXJtxjanqZaWZN8c4sxNl62NukGVqfcRo05zu+k3E0JV7AlYTEHoie1mIhpqJwO7c2WhMWGYgR4P+PbAWM8GD2Z0tDehrfZ1YVGurn+F5sb1jJfeMsVVcNk0bjhkU2Gq9tP6DOXvglDWpycqqAwIGk4MwdcycIhN7e4HVVRCbNEcNXIu4ztWAjRrUky0s3tjJ/PBxnfpNYcC3g/iBs/pIvC+vO/vr+iLCTwSohGdnM0z/T/M5WWZF8zuHP/FYX25+kBf21VFdbNiVexMuUOPA0Ff89tMufBxKqU29iYdC315hj+1/cRciJH+sY0Himxq+GsSrmN1cm3gqLyQca32JRwJa6GeS5aw4JgDZUDMVN4pfdPcamhhmM8ETWaN3s9hFMJvSBGHYUdsfN4v6HhX08y6vKT3PGXdcSmejtjK6rmm0eSll3J1/6zgsxh5Ya3Z1bN3DPlR0zoPdc3h6TxdIxJMTOxz3zumvQDTKqZWdlXc+2o+wi3Rp0zzvvc7ZMwmG/O/DVx4UntdVOFEF2YVGDtIRTdQ7/aPcQ7T6EpJvLCh1AamnVR20yyn2Ri2SeEeeqoNcfxReK11FoT2r5BTWNsxUr61O0DIDdiODvi5jc79yTGeZp+tXuw6A6qLYkcjRyDR71wgq3VU092zXbC3dU4TGEcixpLXUNi1lbZ1VsYWrUBk+6hJLQ3GxKvRmtm3z2JpsHxLamUHItBVXWyRp1pVRLSnHpnDQdP7aDeVUu4NZIhqeMIt0ZeMM6juTlcsovyutOYVDP9k4aTHJV+UfsWQnQN0pvmEqMrJo5HjeE4Y9ptm6Whvfk44xvttj0TbhzmCKoaJpU6TOGYcOPhvA96XSfKVU606wxW3QFAqFZPXTMJgdMUzr7YGe0WI8CR6Ikcib60ypCrKgycXMzAycXtts1waxTjegduRVBR5mHnOpWyehWzouLooxE/XcNs6joHbmsd1Szbv4SiqlwURaFPwmDmD7mRULPxo29CiJZJMiI6xdCqDVx26r+EafV4GpYZm/BwWfH/WJ52D/tjpgGQ4CjguoLHSXIU+MYpaMwpWcKOuHmsSr2j07ryio7l9mg8/+pa8iJeAIsHok2ATkGlm5Wv9OX6Yd9l7LjgT159Y/tT7CpY3+SyoqpcNpxYyqyBV7NwaMtzX4QQxsi7uuhwQ6vWc03hU745GCY8vutCtHquLnwKdJ3C8IHcmfMIIZr9gnGgM65iJWGeWj7I+BaGZ1SKLuupF5dRHPfyOTX4z66u0aLyeCvnYczmPzJyVHxQ4gNYsu0J9hRubPH6z49+gILCZUNv6sSohOh5us5xUNEjmTQnC0+90GLfl8b+OZcVv8Cc4lexavYWl+0q6Ayr3khWfeDS9qJr27unguL4l5t/UgCoHjA5eW+b8XYC7a2ivtRvItLo86Mf4HQ7OyEiIXouSUZEhxpSvZlQrd5vNRQFCNVsZNduD1je3oPK2PKV7Rqj6Hyrtq8HT4ADs6oHe+JGDh+q6pygzvPJvlcMjdPRWX3k3Q6ORoieTZIR0aHS7Cd8cz/80VBb7NZ7LhMaGbZj7RGaCKJyZS+YjK2MO3Ss/SbVtkZRVa7hsTllhzouECEuAZKMiG4ncMF60fX1sMdQ72G3R4hOJsmI6FDFoX1Qm0xEbZ6CZqD/sPc0TVFY/4sPTARVrDYs8GmaBgP7pnRwNM1LjTZepydL+ucIcVEkGREd6mD0ZJxqaMDeNC4llGORow31ptkRt6BdYxSdb+6Y6YFP02gmQsomMnRYbKfEdL7Fw4z2IVKYP/hLHRqLED2dJCOiQ7nVEFak3uVbNXO+xlU2K1PvYHXK7bhUa4sJiYbC4ajx5EYM68CIRWcYPSaBhLIboaWuwZoKmpmrRgWvMWFCZApDUscFHDet3yKsUvxMiIsiyYjocHtjZ/Fx2v24lBB0vP1oPJgajoiE8EnafeyOm0N5SDov9/k5VRZvoSvvONXXb2dvzExvQzupMdIjPHDH1aRV3gmayZt8eMy+UzdKfQpXp/8+6EXPbp/wXYamjm/x+sl9F3DFiDs6MSIheibpTSM6jUWzM7RqA6n2HACKQ/tyIGbqhQ3tdI2+dfvoX7sLi+btTbM3ZjrVVmma1hMVFdpY9vluKuwlmBQLgzOGMG9uH8zmrpN0Vtaf4dP9r1FcnYeiKGTFDWTRsFub7bUjhDhLetN0cVGuMvrU7cOsuaiyJpETMRxdCbwEtkW6Rlb9IRIcRXgUM/kRg6mwpjY7tG/NHoZWb8CkuykMG8D2uMuabVbX3lxqKMWhfX01R4pD+zbfWVdRyYkcSU7kyA6PqadzOVSObkinujSMkAgX2VNPERHnCHZYTaRnhHHvbZMNjd2/r4IDRwvRdI1+mamMG5+Eql6YtNQ6qjl6ejcOt53o0Diyk0dhNlnaHGNseCK3TjDWtbmy/gzHS/fj0lwkRCTTP2k4qnLh68vhtnOkZDd1zmrCLJEMShlFqCX8gnGaBjnbUjhzMgqTRaPf+BLiM+vafFvA28TwSMke7O56okJiyU4ZhcXUs5tBiq5NkpFOFuGuZOGp/zKwZjsqum/ORI05lnVJN7A7bk6rt5ldvZW5Ja8S5zrdpNJpTsRwlqXd60tK+tbs4prCJwnT6gHvfI1h1RuZV/IqGxOvZF1yx5W0zqg/yoLiF0iz5/rmjih4V9ssT72bwvDsDtv3pUjTYN0LQ/n8haHYa6w0zs5RzRpjrjjBlT/cQUhE9znKuGd3Oe9sfxFnwlbvyWUddp+CD14axPw+X2bWrEwA7K56Ptz7IrsLNqDpZ1dxhVkimDXwamYMuAKlg07zVdnKeX/3fzlcsrPhle0VHRrHZUNuYmzWTMDbpXjFwbfYmLMcl+dsYmhRrUzsM5eFQ2/xJU57lmWx9B+jqTwViW+GlaIzcMoprv3pVuLSW5eUOFw2Pt73Mjvy1zW5f0LN4cwYcAWzsq9uNnESoqPJaZpOFO6u4p6cnxPpqrig0mhjErEm+SY2Jl5jeJsjKj/nyqJnmy237kHFqYbxv36/Js5RzE35f4JmxjU+AbbHzWdF2r2tuEXG9Ko7yC15j6HqngsKm2ko6Kgs6f0weRFD233flyJdh/cfncCWtwbQXL11RdVIG1TBV/+9EmtY4GXXwbZrZxlvHHsYzA5vmfhzaQqgMDvqt8yalcwzX/yakpoCdL35heJT+l7GlSPuaveEpNpWwVNrf06towqthX0vHn4HU/st5JUtf+dg8Q6am9KtoNA/aTh3T/4B298dxHu/nQTNvLpVk0ZYtJNvvrzMcELidDt4bv1vKarMRW9hIf24rNlcP/orHZawiUuP0dM0kgJ3orklrxLVTCICZ99qZp9+g3hHkaHthblruLzo3y32fTGhYdVsLCr6N9cWPN5kP83te1zFSmKcpw3t2yhF17i68MlmExGgYWqqxtWFT6G08CYuWufYplS2vDWQlhq/6JrKqcNxrH2h6yd/mqbz9p4nm09EAFQdFJ01ZX9g+f53KaluOREB2JizvEOqpX687yW/iQjAJ/te5otjn3KweDstFX3T0TlWupd1+9bz/qMTGi698HHUPCq2aivv/77lybXnW3fsI4oqc1pMRAC2563h6Ok9hrcpRHuRZKSThLlrGFq1scUmcI00VMZWGOu9MqpyDQqa374vJjT61B8gRLcH7A8DMK/4ZUP7Nqp/7U6i3RV+S72r6ES5KxhQu6Nd932p2rgkG9Xk/3mmayqb3hiI29W13wI2bS7BE3u4+USkkaJDaBVbTq70+0ELoCoqG08sb9cYa+yV7Du11W8iAqAoKuuOfYTi95Xo9cXR5U1O9TRH86gcWZ9OeWFEwO15NDebclYG3KaqqGw4sSzg9oRob137nagHybAdxWSgEqmKRt9aY99MetftN1QaXcd48e0M21GDI43pXXfAUG8aDyZ610k33vZwfEsqmifwS7u+MpTSnOhOiKjt9h8/ZqxSq6biIfDEXE3XOF66rx0iOyu3/LDfozGNdF2jzlkdMCEAqDfnQmh54J3rCjnbkwMOO1NbTJ2zOuA4Tdc4cUZeh6LzSTLSSUy68bkuRseadZeB71jGKYDazqdKOuJ2C/80t/FnhaeLHxnx6G5aOt10cdtsx+111Dw2k9PAIN3QY9iaGM+d2CpEZ+na70Q9SHkLy2zPp6FSFpJhaOyZkHQ8Bh5CBWNv5zpQY4k3tG+jyq1pKAa6ziholFvT2nXfl6qErBrvqYsAVJNGfEbLE8q6gpSYVFBdBkYqBg//KSRGtO/zzOj2VEVFNbh8X/WEo9gTDIxUSOxdE3BUbHiiwVUyCvHhwekFJC5tkox0ktLQLIpC+wWY4eE9TbMzbp6hbe6KndvsZNhz6UC1OQ6NwO/VCrAu6XpD+zZqf8w0NANvwDoq+2Kmt+u+L1WTbjwWcIxq0hg2L5/wWCPfvoNnwdwB4DRQWEzR6B0zysAHrs7kvvPbJbZGGbF9SYnuFXAuiKZrDE+fiBLgbVdVVIbFLkR3BSgxr+jEZ9bQd1zgSefh1kiGp08ylJC09/0jhBGSjHSiNck3Ay0nBRoqBWEDOR452tD2SsL6cihqgt8ERwFWp9zKnthZft8qdaDSnMjR6Al+RrWezRzFpoSr/I7RgU2JV2EzR7Xrvi9VY686QUJmbYuTWBVVQzVrzLm/fedOdITISDND+ar/QbpCcsWtXDX2JhRFbTEpUBWVxMg0RmVOa9cYFUVh0dBb/M4FURSVvglDWDzsdsKtkSgtJAUKKiHmMBZNnsPgGQUoaktfNnTQFRZ9Z5fh7ghzsq/FpJr93j9x4Ym+eihCdCZJRjrRycjhvJf5IG7Fgn7O1NPGUy0F4dm8mfVD9FYUHfow45sciRrfZDvgrd+hobI09V4OxEzj0/Svcihq/AWTWRt/rjYn8O9+v2/7jfNjXdL1bEq4oiGuszE2xrsl/nLWJknX0/YSEuHmvmdXkdjbO2FRaUxKFO+jHxLh5t4nV5M6oCp4QbbCbTeMpV/tt7xN9bRzjrI1TGxNLL+Rb95+Oekxfbhn8o8uaFrX+MGfFJXBV6b+FKs5pN1jHJQympvHfeuCD/vGIxH9EoZw56TvEx0Wx/3Tf0Z0aJw3toaxjf+PCInmK9N+Slx4Arf8YT2DpnmX+Z9NLHUUVUc161z/i00Mn59vOMaU6EzunfIwIQ1VXn37bogxISKV+6f9rNkqsEJ0NCl6FgShnlpGVK5lQM1OLLqDCksqu+Nmkxc+pM1N4NJsxxld8RmJjgI8ipmTEcPYFTuHOktck3EpthPMK36FFMdJFF2jxpLAhsRr2B/b8adI4hzFjKlYSbrtOABFYf3ZFTeP8hCZK9IRNI/CkfVpbP+gH1Ul4YRGORkxP5+Ri04SEt79Xke5ObV8um4rp1370BUPcUo28ydMYdjwps9xh8vGroL17D+1DburntjwBMZlzWJg8sgOry5a56hhe94ajpzeg8vjIDEijQl95tI7PrtJITG35ubAqa3syt9AraOKiJAoRmVMZXj6xCZl63Ud8vcmsPWdAZzOicZs0RgwuZjx1x0nKsHephidbju7Czeyr2gLNmcdMWHxjO01g0GpY6T6qmh3RoueSTLSg0S6yolzlqApJk6HZjXf96U1dI0U+0lCtHrqzDGUWTNaTJaGVK4n03YEhxrBpsTFOE3SQEy0P7urnuLqfHRdIykqnciQmE7bd85hjX276lAVlbGTw0nLurhVPh6PxsZdBzhTXU5cZCzTxw7HZJJkQPQs0ijvEpJiy2FG6VsMqN3lO0DsVELYHTeHL5Kux24KXBSpCV1jfPlyJpZ9Qoy7zHfx6ZBebEi8hoMxU3yXLSx6ntGVa5oUNZta9j7V5gT+2+c32Kyd92Eheq5qewWrDr3NzvwvcGve1TWKojIsbQLzB99AclR6h+1721oXH2z5EHe/9yHU+2Vo/dYQQpbczK2XLyB7ROsSCI9H4/mPXuekZxmYGlYKVcOyfDOZyny+dvXtkpSIS44cGenmetft56a8P6Lq2gXVXTVUKqwpvNTnl8Ynh+oaVxX9i2FV64GmS4I1FFR0Pk+6gQ1J13Fr7m/pXX/wgnHgnYuiofL4gMexWWPbdNuEAG8X3KfX/Yq6Zsqtq4qKWbVy//SfkRHbt933veZTO8urvweWejCd997jMUN9ErcOfowR441/r3v09d9TG7rvwpYzDb+H2gfy0xt+IQmJ6BGkN80lwKLZ+VL+3xr6vlw4615FI85ZwmXF/zW8zVGVnzO8an2ztUkaj37MKn2LqaffaTERabxMRePLOT81vG8hmvPGjqebTUTAu1zWpTl5efNf8WjtW6zL6YDlpx8Ba92FiQh4LwsvZcnmfxne5pJly7yJCFz4wmn43R56lJc+/aBtQQvRTUky0o0Nq9qAVbMF6PuiMbh6K5GuisAb1HUmlH0asBaKB5WpZ7xvloH63UR5KolwGihrLUQziqvzyC075Lfvi65rVNnLOVyys133/dbL5RCb578vjsmNnrmRz5cGLkUPsK/6g8AFf3Q4av/EeKBC9ACSjHRjA2u2oxuoraqg0a92d8Bx0e4ykpyFfpMb8DbfM2OsFL0CTD/zroGRQlzoUPHOFmtynEtVVA4Wt2+jxWNl2wz2xTGxZU/gTsC1dXY0S2XgcsgK6JY6ikokiReXDklGurEQj/+jIo10FKxa4GWAVo/xpYKtWUcQ6qlrxWghznK6HYa63Oq6jtPdtqWuLfGo9YbK6qOruHVbwGGV1XWteuFU1dQbHyxENyfJSDdWZUk01JtGRafaErjPRa0lNuApmkat6QRcEtrb4EghmooOizfUEVdRFGLC2revUognxVtoLeDOPURaEgMOS06MNf6i0SE92UhvGiF6BklGurE9sTMD9qYBsKnhhkrM202RHIscEzDB0VCpMcX5HQNnE5ZN8VcGHCtEc0ZmTDLUXE7TtXYvYz57/LjmJ66eTzdxzdX9Aw6zWkyEOQYamjNicWQREx1mLFAhegBJRrqxkxHDGprv+X8YNyZejUe1+B1z7lgFf/1zFFyqlXcyHwQ/48B7RPpY5GgwGetUKsT5wq1RTO67AH/nNxRFZXDKGFKjs9p131PnWTEdv7JpCfrz6QrhR79M1gBjRxQvH3ZHw9+1tD3v/xYMuN14oEL0AJKMdGeKwptZP6A0JBOgySmWxqMbW+MXsjnB+JGJovCBvJ/5bTRMTZIcvWH7TjWU17Me5lRENh+lftV3XXP9bk5bM3gr64dtuWVC+CwadisjMyYDNJnM2tj9tnfcQG4e960O2fd3b78FpaChsV4zfXHMx67noW8bb6UwfvgAJkTd7/3l/ISk4feRYXcxfdzwNkYsRPckRc96AJPmYkj1JsZWrCDBUYSmmMmJGM6O+AUUhA9q0zZjnKcZW7GSoVUbfeXg98TOYnfsbOrNZ6uqxjpOcW3B46Q6Tvous6vhrE+8lq2JV1z0bRMCvBNUj5XuY1POcnLLjqCjkxadxeR+CxiaOh6T2nFH32z1Om+9XMohx3voSXtAVzAVT2Zk/JVcf0c0JlPry8IfOXGK97YtodKyCxQ36CaiXSO4esytDB2Y2f43Qoggkd40waJrhHlqAQWbKdJv47sQTz1m3YnNFImmdM3K/OHuKiJcFVRZknCaWy4rr+puwjy1uBQrTpOfrp+++4eG+6frHZzTdbDXWHC7TITHODCZL/4l4rSplOVHERblJDat5ZUXug71lSHoOoTHOlDb4e6x2zyUlzuJirIQFd3y80zTNeqdNaiKSpglskljtybjNJ3KCidOp058ghWrtes9hgClNaeotJWSFtWbyLCW2xK4nSr1VVZCwt2ERLT8/uL2aJSVOlFVhYREK6ra8mvb5qrD7XERbo3EpHbea1vXdWyuWjyaRkRIlN/Gdw63HYfbRpglAovJ2mkxtobL48TmqiPUHHZBN+ZzeTQP9c5aTKqJMEtEi89d0fk6tDdNWloq8fHx5OXlU1NTY+hvkpKSSE9PJy/vJBUVlW3ZbZcW4qljXPlyxpWvINLjbc1eZU5ge/wCdsQvONu0TtcYVrWB8eXLSLefAMCpWNkbO5MtCYuptKYE6yY0MaX0fSaWfUKYVuubQ1JlTmBt8o3sj53hGxfnKGZi+SeMqFyLRff22SgMG8DW+EUcjJ7sS8asnnrGVqxkXPlyot3eAmw15ji2xy1ge/wC/wlMJ/G4FLa935+Nr2Vz+kQsAKGRTiZcf4xptx8mOjnw8s3zndiWxId/mEDJsRga5z1YQt2MuSKHKx/eirnhFei0mdj0RjYbl2RTVexN+iITbEy+6ShTbj1MWJSr1fves7ucZds+oyLuI18PlNAz05ja+wrmzz+7wqnOUcOGE0vZnLuKeqf39RwfnsyUfguZ2Geu74PK7dZ578P97Kl6H3fcAe8fO6JIr7+eq+dMJ6t38B9DgFe2/J0Dp7ajnzO522oKYf7gG5g+YLHvsuJjMXzx0mB2f9oHj8t7ZKXP2BKm33GYIbMLfN8jys44eGfpVnJMb0F4KQBKTS8Gmb/E9VeOITLS+yBqusau/C/YcGIZRVW5vv2Oy5rF9AGLiQtP6rDb7PI42Zr7GRtyllNeVwJAuDWSiX3mMbXfIiJDon1jD5fs4ovjn3C8dD8AJsXE8IzJzOi/mPTYPh0WY2vkVxzni2Mfs+/UVt9qquzkUUzvv5gByWdPYVXbK9hwfClbcj/D7vYuhU6KTGdqv4WM7z27UxNBcXFadWRk0qRJPPKrXxAbG0tNbS39+vbj9Tfe4Gc/+zma1vyqDkVReOyxR7nxhhs4efIkvXv35plnn+MPf/ij4SC7+pGRCHcld+T8mljXaZRzypB551IonAnJ5JU+P8OuhnNV0b8YXrXe1+elkQcVj2JhSe+HKQzPDsrtaHRL7u/pW7+v2dYZANviLmNl2t30qjvIzXl/RNXdTVb1NN62XTGz+DT9K4R5arkj9zfEO081e/+UW9N4pc/Pmpz+6Wxup8pL353J0Y1p3ht9zpJORdUIi3Zy//OrSOlfZXibW97uz3u/ndi4lXOu8d6zsWm1fP+9j3DZTTx3/3xKjsai6+eO1VFUnbj0Or76nxVEJxmvo7FseQ6f1/7K+8u5K0I0E6gesqrv5+t3zqaivpRn1/2aakfleUtovTH0iuvPl6f+H4rHwp9eepG6xJWgq6CeM9ZjAlcUNw/+NaNGBW85qsfj4Q8rHqDW0fJjNDJ9MrdMeIDD69J5+aEZ6JqC5jlnHoqqoWsq0+44yOLv76Qgv45nPv8dWmR+09usK95VL5Uj+d613yMqRuX17U+yr2gzCgr6Oa9tVVGxmEK4b+r/kRkXeNVNaznddv6z4THyKo41Bnf29igqUSExfHX6L4iPSGbFwTdZfeQ9FEVt8ng3HkG5ZfwDDE+fSDDtzF/HWzueQVGUJpV3G2NeNPQWZg68itM1hTz3xW+pd9U2u/x7QNJw7pz0UJc96nOp6JDTNNdffx17du/h2PHjAAwaNIiln37Mjx/+P954481m/+aeu+/mxz/+IVdddQ3Hjh9n3LixvP3Wm3zjm9/i00+XGtpvV09G7sx5hHTbsWb7w4B3KeyJyJHkhw9m9uklLa4LaJwg+tTAf+BobafddjLj9BtMP/N+i9c3Plk+Svsal5X8D4vmaLHwmg6sSrmD/rU76V130O/9kxc+mNf6BK+Pzcd/HsuGVweht1BXQjFpRCfaeOjDDzFbAi+nrigK509XXNP41y2M0hkw+RRmq8bh9enonuYPqasmjYxhZXz9hRX+zvr5HDtaw3/2PgCq22/RrsmmX3Ii/N+cqS1qsdy6gsrIzCmU7x9MfvR/Wt6eZkKxJfDTa/5MeERwVk89t+635JQfDDju6v4/4JP7HsPtUv3WEbnuVxv4qPybuGL2t7zEVzMRVbaAiTMiWHXo7Ra3paAQaongRwv+ToilfZfsvrnjX+zKX9/kSNC5VEUlISKVeYOvZ8m2J/xuS1VMfHfuH0iMTGvXGI0qqsrlyTU/a5LMNeeuiQ/xwd4XqLJXtFiHRkFhct8FXDXy7o4IVRjUIY3y3nnnXV8iAnD48GHKystJTU1t8W9uueUmPvroY9/fbd++gy++WM8tt9zcml13WWm242TajrT4QQve/jADancx+cyHfkuKqeiEaHZGVK5r/0ANmlC2LOByXYC5p1/zm4g0mnLmA/rW7Q94//SpP0CSPa/1AbcDe42FzW8NaDERAdA9KlUlERz4zNjkwk/+MrbhJ//de45tSuPQ2swWExEAzaOSvyeJgv3Gjjp8un4DKJr/6qGaytbKFzldU+C/7wsaewo2kB/2mv/tqR70iNMsXXnEUIztzePxGEpEAJYe/h8et+K/oJmis+K9Wlzxu/3XGlE91CQuY90R/71kdLxzOXYVrDcUo1E19kp2FbSciID39FFpbRErDr5loJqtzsacFe0aY2tsOL404HwPRVFZevB1Km1lfgvi6ehsOfkZNpdUgO4OWj3zLCw0lIkTJjBr1iz+9Mc/YLPZeP31N5rfuKoyePBg9uzd2+TyXbt2MXxYy0vXrFYrkZGRvn8REcE5SmDEkKpNhqqgaiiEaUZeFDrDqr64+MDaIMl+khDdbqR1BuGeapQAiYgCRHiqA9ZBAe9pqiHVmwzH2p4OfZGO2xH43LKiauxZZqya7JGNRr9ZKoZKjqsmjT1Lje37VMgn/pu7AaganqgcY6XWAawGSpNrKvvPrDUUY3vblrfG8FinqRRdC/Cc1BVq0z8w1ptGV3BqRuYTKewu2GAoRqP2n9qKrgd+/igolNUVBzzi0DjvJRh0XWd34Ua/ybF3nMbpmgJDz12P5uZQO/csEh2j1bN7EpOS+MlPHiY6OobMzAz+9re/U1JS0uzYyMhIrFYrFRVNO8ZWVFQQGxvb4j4e+Pa3eOih77c2tKBoXBkSiO63lNhZ3g96Y5OC21uss9Tw2Pafq64Q7g7O7a6vDEFRdL9HRgB0TaW2rOUZ/efyOE0YvZeMPTOgvsrgue+QSmPjIOCHk3eQsYQJVcNlCk5zt7K6U+2/0bBy7xGmgIy+GnRqndUXE9EF6p21qIqKpvtPPg09zg3sruD0xHFrLjytOA1v5DYpKNQ7jb1Hi+BqdTKSn5/Ptdd9CYDBgwfzzttvouk6zzzz7AVjXS7vDP6QkJAml4eGhuJyOVvcx+NPPMkzzz7n+z0iIoKdO7a1NtROUW+OMjQu0FGERjpQbzK2zfZWaTU+27/x1rRfUqIbvi/bW0SsI2AiAt4jI5EJxiaRmqweNJuCkXvI6MdERKyxNvU4YiH8jMGtqhCopYCRRARAU7F4gjOBNTEivf03Wp/gnawbsOWC0UdQIdIaHXhYK4RbowIeSfDuWTGckIRagrMqyqxaMKsW3JqxlWNGbpOOTrg1sj3CEx3sogoEHDp0iDVrPmfunNnNXm+z2SgvLyftvDklqampFBYWtbhdp9NJbW2t719dXdc953cweoqh/jAqOvUmIy8Khf0xxis6tqfS0N7Y1TAjrTOoM0UT6INWB2pN0X7nizQyoXmXAgfBoBmFmEMCfyPTNZVRl+ca2mb2VKPf1HVDzdg0j8rIRScDjgNId1zhv4Q5gKZiqu5H4A9a75s+TgMfUKrG8KT27Q9j1LisWYbHWj1JKGrgBCzy1NXGetMoOiGqkQ9wndG92ve1PSxtPKqBWc06OgkRqQFPbaiKypheM/yO6SiKojAqc6rf2ijecSop0b0MJVdm1cLg1LEBx4nga1UyEhZ24Szw3r17N6kbkpGeztixY3y/r127jgUL5p/doaoyb9481q4L3iTN9lQc1pe8sEF+541oqByNHMOmhKv8vnw0FOxqOHtjg/NmALAtfqHft6vG+Fcl345TDfXb5VcBNiZeQ07EcL/zRjRUciKGURravr1FjAqNdDP5xqMofo4AKCaN2NQ6hs4uMLTNKx7a3vCTv0dcZ+DUIobMyvf74aiaNLJGnSZzmLFTIJdPn+JNRvwlOarGxIS7SInu5ffNX0FhdOZUsuy3+9+eZkKpS2Hh/AGGYmxvJpOJfglDDY29fPA93kJ2/o746AqXXRuBpXy0/3kjmonossuZkb245TF4VyWFWyMZlTnVUIxGRYXGMrrXdL9JhqqoJEdlcNmQmwJ+gDeuQAmWqf0WBv4ypGssHHIzseFJAZ+7E/vMI8zSdeccirNalYy8/dabfPtb32TOnNlcfvkinn32X2RnD+TJp572jbnllpt55eWXfL//7e//YOjQofzhD79nwYL5PPXUE0RGRjR7Wqe7erfXd6i0pqCddzKmsY5GaUgmH2V8g80Ji9kb4000zv8Q11BxqSG8kfXDoC3rBViXfCPHI0YCLbbOYGvcIg7ETeeNrB/iVqwXJBqNt21n7By2xS/k/YxvUxaS3uz9o6FQZk3j/YwHOuT2GHXZg7sZOK0I0C9IShRVIzzGwT1PrsZkMXaoOzbNxvW/3NzwW/P3ZFxGLXf+43Nu+M0m0rIrvftVmt5DiqoTl1HL7X82Pqmw/4AoZkf/EjTzhR+kHu8Rk97VX+OqxQO5a9JDRIfG+fq8nC8rfiDXjLqXL980g6gzl3kvPH/yp2YCRwy3DP854eHBKzJ175SHiQqN9TtmVMY0Jg0bzR1/XYvJrKGamiaBjUnhjLsPMO7qXL664NuodZne29zkofGuxrFUjuQbX7qR2dnXMKKxf855r21VUQkxh3LvlIcJ8VNFtK2uHnEPveObr02koBIVGsfdk3/IiIxJzBt0vS+m82NUFRO3TniQxMiWV0d2tLSY3tw49usoitpsjACXD7uNwaljuHfyjwi3RjXpVwRn7/8BScNZNPSWzglcXLRW1RmJiYnh3nvvYcyY0bhdbg4fOcKLL75EcXGxb8wtN9/MlVdewR133uW7bPDgwXztq/eTnpFOTk4OTz31L/LyjC/j7Op1RsBb2n3MeRVGKy2JbI+/jJ1x886pwKozpHoT48uXkmnzFilyKqHsjpvF1vhFVFmTg3UTmph45iMmlX1EhKfGN8Gy0pLE50k3cTD27Le7WGcJE8qWMrJyDVbdOw8oPyybbQmLOBQ10VeB1aLZGVvuvX9i3GUAVJnjG+6f+ThNwW+X7nEr7PywL+tfHUTJsTgAwqIdTPzSMabcerhVRcca5e5M5MM/jOfU4TgaT2tZw1yMvfoEV/5ou6/cu9NmYstbA9n4ejYVhd7TeVFJ9Uy5+QiTbzpKaBsqsO7bW8GyrWsoi/kAzE7QFcLKZjC17+XMm3v2KFS9s4aNJ5azKWcldQ0TLBMjUpnSbyETes/BbPJ2fHa7dd7/+CB7yj/EFb/H+8f2GDLt13PVnCn0yuoa30CXbH2Cfac2N5lLEWIKY8GQG5jaf5HvspLj0Wx4dTA7P+qL2+lN0vpNKGba7YcZMqvQN66i3Mk7S7dxgrfRI7zvdWpVXwaHXsf1V4z21VXRdI3dBRvYcGIZhZXe6soh5jDG957NtH6LiA1P7LDb7Pa42HpyNRtzlnOm1nuKMMIaxaS+C5jS9zIiQs7Oxzpyeg/rj3/K0dPex9CkmhmVMYVp/ReTFhOco5PnK6g4wfrjn7K3aDOa7kFBYVDKGKb1X0T/pGG+cTX2SjaeWM7m3FXYXN6JqilRmUztt5CxWbM6tGeRMEZ60wSLrhOq1UHDKRd/Vaosmh2z5sRuikBXuuaLJtRdS4S7kiprIm615W91iu4h1FOHW7WeTbyao+uEat7Z+oHun2Cy15rxuEyERTtRTe3Qm8auUlEUQXi0i6jElpOaxr44uq4QFu1sl7vH6fBQUeEiItLsK13eHE3XsLvqUBSVUHO433oP1VUuHA6NuHgrZnPXfAwr6s9QaSsjNSqDMD+TGD0uBVuNFWuYG2tYy6tS3B6NqgoXqqoQE2vx25vG4bbj9rgItYR36geirus43DY03UOoJcLvaQyXx4nDbSfUEo65i5ZNd3tc2N31hJjD/FZSbXzuqoopaBNwRfM6tDeN8ENRsAeYqJpqO8G48uUMqN2JWXNRaU1iV9w89sZM7xI9Ws5lN0diNweeeKsrJmxmAysFFAV7EE9DGRUa6QYuPvF11JnZ8VFftrw1kIrCCMwhHgbNKGLKzUeazAHRNDjyRTobl2STvzcRXYf0wRVMvvkIQ+cUXFSzPmuIiZTUlj8Q3S6VfSt7sWlJNiXHY1FUnT5jTjP55qMMnHKqSUJ0clciG1/P5uiGNDxulYReNUy+6SijLs9t8kFeeSqczW8OZNcnfaivthIe42TMlTlM/NIxYlPPLh11uu3szP+CzbmrKK8rwaRayE4ZxZS+C8iKH+gbp+twZH0aG1/PJm93ErqmkDqwgsk3H2X4vLxmT5/FhScS5+doRH2llW3v9Wfru/2pLg3DGuZm+Px8Jt90tNmy/2aTSkJiSDNbulCIObRDTskEoiiK4Q9ji8nq9wPe5qxje97nbD35GVW2ciymEIamjWdy3wWddgTFbLIQaQrcJkJVVMKtwVmNJ9qHHBnpZFNL32NW6Zt4UH2rcBofgGpzAq/2+WmXaZYnLk55QQTPf3UelQ2N7xongKomDc2jMv8be5j71X24XSqv/WgaB9f0QjFpvmqsjX1S+o4v5u5/fu73W3tb2Wos/PebcyjYl+jb37kxjro8hxt+vQnVpLP0H6NZ97+hvuu8QeqgQ2LvGu57ZhUxKTYOrUvnlR/MQHMrTYqLKaqGyaJxx1/XkT31FJX1Z3h+/aOU1zetU+Stm6Exe+A1LBhyI5pb5Y2fTWXv8t7N3j9Zo0q554nVDQmkMUWHY/nP1+diqwpp0g9INWnomsLVP9nKpBuO+d1GT1ZSXcC/NzxKraOacyfLND42Vwy/k2nnnPISoiUdUg5eXJzhleuYVert4XPucuDGahSR7gpuPfl7zFrLNVhE9+ByqPz76/OoPh3um+zYqPGDfOXTI9n+QV8++sM4Dn3uLTN/bln4xg/y3B3JvPnzKR0S56s/nE7hgfgm+zs3xt1L+7DiyVFsfC2bdf8b2uQ67x95n73lBZH895tzKDwUyysPzcDjUi+ocqprKm6niZe+O5NTJ8L5z8bHqLRdWGivca7HmqPvsyV3FUv/MYa9K7zfxJu7f/L3JrDk4WmGb3N9pdWbiFRbG+rLNH1sdF3h/d9N5PAXwenPEmx2Vz3/3vAodc4azp983fjYfLzvJfYXbQ1CdKKnkmSks+g600vf8btszYRGrKuUwdWb/YwS3cG+FVlUFEY2/eC+gM7Kp0ey9d3+/vviaCr7V2Vx5mT7HoYu2B/P8c1p/kuj6wobXh3EZ8+13L4BvB/ip0/E8ulfx6Jrfvq+6Aq6pvDpR/mcqT0VsGDXqkPvseGNfn6XFeuaypH1GZw6Eut3W422vd/fe0TEz+1WVI3Vz/u/zT3Vjvx11Dqq/fZ9UVBYfeS9zgtK9HiSjHSSDNsx4lynA9bj1FAYVbmmM0ISHWjbe/0DF9ZCoao4wlDRM9WksePDvu0TXIMdH/a9YGlrc9xOlfpKA/MfFI2cbSkBEjBv4nLM/UmLy4nPVeusQO8VuN+NatLYafD+2fpOfwK1c9E1lbzdSZTlX3rVO7edXEOgqrI6OkVVuZRUG6u7I0Qgkox0kki3sYJVKjrRLqOlvEVXVVkcEbgZWwNFNTZtq6qkfSc3V58OR9OMlME3OK1MVw2V1QcgKs9vp9km+4/ND7xrHapOG7t/qkvDMNrIoPp08Jecd7Yqm/H+QtX24PQiEj2PJCOdxO9y1/M41UvvDbCnCYkwXhfEQNNVUCAkon0nb4eEuw0lGoYTjFY0Y8MReIWEb6v2wEcnFAWsYcbuH6PjAKzh3XvCfFuEmI2tGAKwBmHFkOiZJBnpJHnhg3EqgV/kGgqHoid2QkSiIw2f57/EeyNziMvQERTNrTLEYCl6o4bMLmgyIbRFuoJqNrCSR4H4zJqAt1tRNRLq5htqAW9SLHD8soDjNI/K0DnG7p/h8/MNnJ7SiU6uJy270tA2e5Lh6RMvqGranAhrFJmx/TohInEpkGSkk7jVEHbGzfPby8VbPl5ld+yczgtMdIjx1x3zFkvz1+9G1Zh84zEyh5/x++GomjQSetXQf2Jxi2PaYsisAqIS6wP2xRkw+RRjrszxn2QoOpYQD3O/tjdgcqVrKvMmj8MUoNCWoqiM7z2LvsPtfu8fRdWISalj0PSWm2+ea/JNR72TbP3uHKbedrhdCt51N5P6zA94uE5BYUq/hQEfQyGMkmSkE61NvpHCsIHNJiQaKjoqH2R+i1pLXBCiE+0pOsnOzY9uQFH0Zj/EFVWn14gy5n9zD7f+YT3hsY5mP3BVk4Y13MUdf1vrKx3fXkwWnTv/vhZLqKfFfUcn13PDrzdyxUM7SB1Q2cJt8fZ4uf3P6xhzRS5TbzvUcMV5H2gNv8+4+wCjZ9Vx24QHURVTs9/CFRTSY3qzaNit3PS7DUQl2lq+f8Lc3Pn3tYYTh5T+VVz9f1t9sTflTSAHzyhk2u2HDG2vp0mITOX6MfcDNDvJWEFhQNJwZg68qrNDEz2YFD3rZCbNydQzHzC2YiXhnhrf5TkRw/gi8XoKIgYHMTrR3nJ3JvHZM8M5tvlszYrwGDuTbz7KrHsPYAn1nv6oPh3GqmdGNOmTopo1Ri7MZf7X9xKfWddhMZ7OiWbVv0awb2Uv31ENS6ibcdecYO5X9xIZ7wDAUW9m9XPD2PLWQOy1DZU7FZ1B04uY97W9voqyug47PujH5y8M4Uzu2bkhSX2rmHXvAe9RloZ8PK/8KKsOv+PrkwIQZolgUp/5zM6+2jcnoaYslM+eGc6OD/rhcni/jasmjeEL8pj/9b0k9j77WjLq8BdpfPbccPL3JPkui06uZ+pth5l2+6GLqnrbExw7vY/PDr9Dbvlh32WRITFM7beQGQOukKMiwhDpTdPFqbqbZHseZs1JtTWRakvHNdESwVd5KpyKUxFYQjykZlditjR/2sFeY+H0iRh0HZL6VBMe23kF8GrLQyjLi0JRdVIGVBHSwuRNl0Ol+GgcHpdKXEYtMcm2ZsfpOpw+EUN9pZXwWAfJ/apb7LVTZSujov4MZtVManSWrznf+Rx1ZkqOx6BrCom9a4iIc7Tptp6rLD+S6tNhWMPdpGVXXpKnZvwprztNlb0cqymE1OgsaT4nWkV603RxmmKmOEwmf/V0uq5z/Mx+thWuoay2GIvJyqDcMYzLmkVkSNNePkc3pLLsiVGcORmNrkN8Rh3zvr6H4fOaTsy0uerYkbeOg8XbsbvqiQtPYlzWLLJTRvltjBZIZLzDdxSkJUWHYvnkr2MpPBCP5lGJTLAx7Y5DTL7paJPTSC6Pk72Fm9l9eiN1jioinDGMtk5lePrEJv1QdF0np+wgW0+u4UxNEWaTlUEpoxiXNZuo0KYrbo6X7mfZgSWcrilEB+LKE5mTfS2jMqc2GWevsbDz477s/ywTe62F2NR6xl19gkEzippNNBJ61ZLQq+U3ydaoLQ9h27v9ObIhDZfdTGLvasZfd5x+40931Z6QAcVHJBMf4b+beHF1PltyP6Og4jiKAlnx2UzsPZekqPQOjU3XdfIrjrEl9zNO1xRgUs30TxrGhN5ziAlL6NB9i/YlR0aE6CA2Zx0vbf4LueWHfT09wHvOXVVN3DDm64zKnIKmwTP3Lmg4XaBztgaG9+ekfpU88NpSzFaNwyW7eHXrP3F5nDQupVUUFV3XSIvO4p4pPyYqNLZDbs9bv5jEjg/PTaAVX4zhMXYefPMTopPsnKo6yX83/oFaRxUKCjq67/9RoXHcO+XHpEb3wu6q5+Utf+fEmf0X3D+KonL96K8wNmsmmqbx7w2PklN2sNm44iNSeHD2o1jNoRzblMLLD83EaWv4nqUrvn42yf0ruffJ1cSkNH8k52Lt/LgP7/xqEpqm4r0piq+PT9/xxdz513WERhlf8t0daLrGh3teZHPuiiaPYePPMwdcycKht/jtAN1WLo+TJdue4GDx9vOePyqgc8WIO5nab2G771e0jvSmESKINF3jf5v+xMmKo77fG+noeDQ3b2x/kiOn9/Dfb845Z97CuW/a3p9LT8Tw9N0LyCs/ykub/9okEQF8ZbtLarzNzbzXt69P/jqaHR/2Pycu5Zyfob4qhH/cuJjyujKeX/876hw1vtt67v9rHVU8v/63VNWX89Lmv/oSjPPvH0338NbOZzh4ajsvb/lbi4kIQHldCU9+/gsKD8bxvwdn47KZmvQDaly+fCY3mue/Og+nrf1PMxxal86bP5+Cx602rNTx7ruxGm3ujmRe/O5MNGN13rqNZQeWsDl3BdD0MWz8ee2xjzqsbPzr25/kUPGOC/ato6Gj89HeF9mZv65D9i3anyQjQnSAIyW7yKs46re/B8Cne97k+ObUAFtTOHUono+3v4+uexeAN0fTNU7XFLK3sH17G2kabHh1ME2P2lwYo60qlLeXbsThtrVYXVXXNWyuej498Ao5ZQcD3j+f7H+VQyU7AsZYWlvIh0vq0TUFXW/+bU3zqJTlRbHrkz4Bt9caug7L/jm64Z5p/v7RNZXcHSkGHuvuo8ZeyfrjnwYct+bI+9hc7TsBu7AyhwOntvmS3JYsPfB6wP5HomuQZESIDrA5d1XAwlE6OiV1JyBld+ANxuSRX78zYAl1BcX3TbW9bHp9YMM3/ACH2lUnOdqHAd/8dV1jX9FWQ/NbyuqM11bJS/h7wL44KLDpjWzD2zSi8EA8JcdiA1aqVU0aW94a0K77DqYd+esakmP/3Jqb3QUb2nXfW09+Zuj5U2OvaLJSS3RdkowI0QFKa4oCfuv3STgSeEz8MUOb0tE5U9u+xdGKDsYbGxheBlZjE0E13dP+31hjTgYeoyuU5bVv9+MzBreneVRO5xgvg9/VldUWG5oLoioqZe38nCytCdzxGbzJeXvvW3QMSUaE6AAtLU1tlsdALxC38X4h7V3/wRxioBQ8GLsdHUkzdp+bWlhW3VYms/Htma0G78tuwPs8MzYxtd2fkwa3p6NLPZRuQpIRITrAwOSRhg4jK7oZ8qcF3mDxWFQtcFdaVVEZmDTCSIiGjb0yB0NN8GyxWKoHEegDSkEhMiTGUP8TI/1rGpkKZgUc01jevj31GVNqoNeNt9rrwCntu+9g6p80DE0PnFxpuof+ScPadd8DkkcYfm70SxzarvsWHUOSESE6wKQ+8wIeRlYVlVG9JqM64vH/Ya+DO4wJfeYE/ADXdI3J/QI3lmuNrFFlRCbYA8QIoDBtwMKA43R0Zg64ImD/E1VRGZo23vA328mx9wds0qd5VKbcbOC0WCtEJdoZPj8vcEKiK0y8wdjptu5gSOpYb1LpJylQUIgLT6J/0vB23fe4rJmoAYqvqYpKv8ShHV7rRLQPSUaE6ACJkWlcPuy2Fq9XFZXo0HguH3Yb1/58S8OlzX04ey9b+MBOFg6/lqTINL8JyayBV9Errn+L17fVHX9b21C0q+UYR12ey7xJ4xmUMhp/q26Gpo5nav/LuXLEXS3uT1VUIkNiuGrE3dww5msB45ubfR3z78sndWDz/XMaTbv9EH3HlQbcXmstfmhHi/1zGu+fxT/YQXxGx5X172wm1czN476FoqjNJiQKim/MxRTja064NYrrR9/f4vWqohJiDue60V9p1/2KjiNFz4ToQDvy1rL84JtU28t9lykoDE2bwNUj7/FVGd31SW/e+91EnPVN5z1YQt1c/t2dTL7ZW6/E5qzjo30vsrtgY5ND5BHWaOYOuo7JfRd0SIEpgLy9Cbz83ZnUlodybrKhmjQm33yEK3/oXYLr1tysPPgmm3JW4PScrehqNYUwpd9C5g/+ku9ox+6CDSw78DqVtjO+cQoKQ1LHcdXIu4kJ806e3Ve0hbd3PovD3bRgmVm1sGDIjcwYcAUA9lozH/9lLDs/6ovmNuEryhZrZ/Z9+5l2++EOq4RafTqMD/4wjoNrejXpChyTWsfCB3YzenFux+w4yE6WHeajvS9RWJXT5PJecQO4euQ9ZMT27bB9Hzi1jU/3v3bBqquBySO5ZuS9ASvHio4nvWmE6CI0XeNE6QHK609jMVnonzic6LDmOzPv/yyDg59ngg79JxUz5ormV4jUOqo5dnovTo+DmLB4BiQN77SJerm7Etj5YT9cDhPpQyqYfPNhzM3s2uG2c+T0buqdtURYo8lOHuFrfHcuTdfIOXOQ8roSzCYLfROHEttCKe9DxTvYX7QNHY2+iUMZkzkdtZl2xvWVVo5uTMNRbyY62caAycUt9gNqb1UlYZzYmoLbaSIuo5Z+E0raveNyV1RYmcOpKu/zNTOuH6nRWZ2yX13XOVl+hNLaIkyKiT4JgyUJ6UKkN424JBQfi2HXx32oLQsjNMrJsHn59BlT2qX6gFQXR5L34S2UF3ob5YVMOcXgmc33SRk2t5Bhcwv9bs/udPP6W/vJda1BV21YXMnMGZjEzJkZbY6xvtLKjo/6UnIsFtWk03tUKSMuy/N1FT5Xn9Fl9BldFnCbIeZQRqRPCjiuxl5BXvlRyhqSEYsplKiQ2AsasjndDmod1aiqiqaD3VWPw20jzBpxwTbDY52MutzAUt8OEJNiY8yVuUHZdzBlxPbt0KMgLVEUhT4Jg+iTMKjT9y3ajxwZEd2SrcbCkoencXRDepPz9JpHJXVgBXf8dS3xmcE9P+92qXz4h3Fse2cAKLovQdI8KtHJ9dz2xy/IGnXG/0bO8/Gnx1lv+zWY3E2nbyigVPfiO5f9iuSUC48+tETX4fP/DGXVMyPQ3CqKqvtiDIl0cv0vNjNiQX6rYjTKo3n4ZN/LbMrxFmnznl5S0HQPkSEx3Dr+AfomDgG8p3Pe2/0fHG4bquI9/aLpOibVxILB3tM0HXV6SgjRdtKbRvRYLofKf74+l2ObvKW1NY/q+wfetvX/uucyqkuNfyi3N12Ht34+ma3vDEDXFXStaYw1Z0J5/mtzKTrU/Oma5qxZU8B6xy9AbUjIlXP+AXpUPn9f/UPsduOnI1Y/P4zlT4zG4zKh60qTGB11Fl778XQOrM40vL3WeHf382zMWYHe8J+ma755MHWOav6z4THyK46zt3Azr29/0jdf5GzBNG+Pn6UHXmPtsY86JEYhROeQZER0O7s+7kvhgXh0reUeJPWVIax9IXj1BU7uSmLPsj6+Zm3n0zUVj0vl07+NNrzNFQWPe39oeaEKhJXzwhtrDW2v5kwoq/7lpyZJQ+zv/348mqd9jzoUVJxgR95aWloG3Ngs76O9L/LBnhcCbm/FwTd9zfmEEN2PJCOi29m4JDtg4UfNo7Lt3f647O3fodWIzW8ODFh3QtdUjm9JoywvMuD2DuyvQI8sCFzwUoc869uGYtz+fj8CblBXqCkN58iGNEPbNGpL7qqAyz11dPIrjlHnrA64PV3X2J73eXuFJ4ToZJKMiG5F06DkWGyLRxzO5bRZqCi6cHJjZyjYFx+4aVuDU0cCn6rZvv+4scrbChBaYWi/RYfiDRVWVU1aq04nGVFQedxwbxqjlTaLqnIvIiIhRDBJMiK6FeWcORLG/qCjIgmw29a8spTAGYHaES9VRcdQNgIdsDqpvTeoyARWIboxSUZEt6IokD64PGDZb4DQSCfxGca6yLa3rFHG+pWg6GQMKQ84bNKYAcbyBh2oTzQwEHoNL8NIUqB5VDKHB17K2xq947MNV+XUDdxwHZ3M2PavPCuE6BySjIhuZ8otR1qcvNpIMWlM+NIxzNbOKXR1vsk3HQ14mkY1aWRPKyIuvT7g9gYMjEap7mOkPQz99BsNxTj2qpyACZOiaMSm19J/Yvu2YZ/Ud37A0zSKotI3YQjRoXEESppMqomxWTPaMUIhRGeSZER0O6MW5dJ3fHGLR0dUk0Zsaj2z7jnQyZGdlTmsnIk3HKWl7EFRNSwhHhZ/f6fhbV475LveuTItJSQ6KDXp3HPzFEPbi4hzcPn3Wt6/ouigwHU/39LuFURTo3sxrd8iP/tWMatmrhp5F9eN/kpDKtJyQnLF8DsJswRnfpAQ4uJJMiK6HZNF5+5/fs7IhSdRFB1F1VDNHt+3/N6jS/naf5cTHusMapxXP7yNWfcewGTxoCg6pnNiTOxdw9deWE5y38ArRRpNmJDE5Yl/AHeY9wK96T+1cgj/d83vMJuNv6yn3naEa36yBWu4C2iI0eyNMTLBxt2Pf87Aye17VKTR5cNvZ+6g6zCpZm9TNcXUUNAM4sOT+er0X5AancWglNHcOekhIkOiAVDPGRdiDuO60V9hct/5HRKjEKJzSAVW0a1VFIWzZ2kfastDCYl0MXxeHqkDq4IdVhP1lVZ2fdqHisJILKFuBk45RZ+xbS9Z73ZrvPfxQfafWYVHtRGqpXDlhKsZOTK+zTE6bSb2rsjylYPPGlnKoBlFmMwd//Zgc9axq2A9FfWnMakWBiQNp1/i0AsmpHo0D4eKd5BfcQxN10iNzmJExiQsJmuHxyiEaBtplCdEB6spC+Xgmgxs1VYi4hwMnVNAeEzbj8boOuTuTKJwfwK6DmnZFfSb2HyTtfLCCA6vy8BpMxGTWs/Q2QVYwy7sI9MRiqvzOF56AI/mIiEilUGpYzB3UpM+Ic7n0TwcKdlFae0pTKqJvglDSI/tE+ywRANplCdEB3HUm/ngsfHs/qQPmqagqjqaR+H9Rycw8UvHuPx7O1s9cTZnRxLv/WYipbkxvrkwuqYSl1HL1Q9vZdD0U4C3auo7v57E4S/SARr2rWINczHznoPM/sq+DusQe6b2FG/tfJa88iMoDUtpNV0j3BrFZUNuYmKfuR2zYyFasDN/HZ/uf41aRxWKooKuN6ys6sf1Y75KanSvYIcoDJI5I0K0gstu4t9fm8uuj/t4V8s09HMBBY/LxKbXs3n5+zPwuI2fgzmxLZl/f20eZ05650TomupbLVRRFMGLD87mwOoMastD+Nc9l3F0Q1rDRFbFt2LHabOw8ukRfPDYePQOONZ5praYp9b+koKKY94YG3rJANQ7a3hv979Ze1T6w4jOsylnBW/u+Be1Du9pWV3XfMvAC6ty+dfaX1FSXRDECEVrSDIiRCtsfD3bexqlhaXFuq5wZH0Guz/tY2h7mkfhzZ9NQde8f3vhBhV04K1fTmHFkyOpKg73s2RYYcub2eTuTDK079b4YM8LON02v8txlx1YQkV9abvvW4jz1dir+Gjviy1er+saLs3Ju7ue78SoxMWQZEQIgzQNNr6WHfDIg6JqbHgt29A2j25Io6okwn/dFF3BXmNlxwf9DNUu2bTE2L6NKqsr4VjpXgPl2xW25K5q130L0ZxtJ1ejB3gh6rpGXsVRiqvzOikqcTEkGRHCoJrSMKpKIghUgEvXVIoOJuB2BX555e5M8i2l9UdRNTzuwE3/NI/Kie3JAce1xsmyI4bG6WicOBO82i7i0pFTdshQZV6AXIPPXxFckowIYZDH3bqXi2Zg3oh3m+07yUNrZZwBt6cbX6Xj0TpnRY+4tHkMrqpUUNBkBWa3IMmIEAZFJ9mwhrkMjNSJTq7HEhr4gzm5X5Wh5ME7nyRw0qKoGin927fOSnJUhqFxqqKSGp3VrvsWojkp0b0M9TbS0UmOyuyEiMTFkmRECIPMVo3x1x0P3M9Fhck3HTFU1GzkwpNYwwJ/c1NVnQGTT6EE2LeuqUy66WjgHbdCr7gBJEWmowQ4PaXpGpP6zGvXfQvRnIl95hiYwwSxYYn0SxraCRGJiyXJiBCtMOOug4RGOVtMClSTRkxKHZNuNJYQWMM8XPbt3QHHzb5vP4u+uwuTSffbkydjWBnD5uUb2rdRiqKwePjt/segMCxtAplx0jlXdLzU6CzG9JoRMEFePPwOw92hRXDJoyREK8Sk2Lj/+ZXEJHs77TYmBmd7zlRz//MrCYs2cjrHa8qtR1j0nZ0oqtawPW+zGUXVUBSdWV/ez7yv7yV9UCX3PvUZoVHebSuK3mTfvUeXcu+TqzFb2r9T8aCU0dwy/oELSq83vtEPz5jETeO+eUEJdyE6ynWjv8KYhk7NTRMOBZNq5oYxX2d4+oTgBCdaTcrBC9EGHrfC4XUZ7FmeRX1lCFEJdkYtzmXA5FNtroBaXRrKtncHkL8vAXRIH1zBhOuPEZtW32Scy+7tI3Pw8wyc9WZi0+oZd/UJeo080+Z+N0bZXfXszP+C46X7cWtOEiLTmNB7jlS6FEFzuqaQbSdXc7qmCJNqpm/iEMb1mkmYVbo4dwXSm0Z0Gl3XKa7Oo7L+DBZTCFnxA7CaQy9qm06bibzdibjsZmLT6kjNruzwD9rW8rgV8vYkYquyEhnvIHPEmRYTkeJjMVQURGIO9ZA14gwhEc0/j6vtFZyqOomu66RG9yI2PLEDb0HXcWB/JQVFlVgtZsaMTiYmtus1v6uoL6WkOh9FUUmP6UNUaGywQxKiy+uw3jTp6WlMGD8Bs8XM7t17OHbsmN/xo0ePZvz4cU0uczqdvPjiS63dteiCDpzaxspDbzcpLGQ1hTChz1wWDL6h1UmJ02Zi5VMj2fL2AJw2i+/ylAEVLPjmHobOKWy32NtK8yise3Ew618eTG15mO/ymNQ6Zt17gEk3HvUlToe/SGPFUyMpOpjgG2cJdTP+2uMs+NZuQiO9SUlZXQlL97/GgVPbmtRPGJQymoVDb+mxRx7WfF7A6uNLcCXs9F22fGUoyTXXcdfVC4hPCAlidF6nqk6y9MASjp7e47tMUVSGp01g4dBbiI9o37ouQlyKWnVk5LHHHmXmjJns3r0bj8fDokULeeXVV/nlLx9p8W++850Huefuu/jgww99l9ltdn7/2B8MBylHRrqmzbmreH/3f1BQLihApKCSHtub+6f9zHBC4rSZeP7+eRQejL+gIqmi6Oi6wtX/t4XJN/lPgDuSpsHrP5nK3mW9ubD4mQ4oTLn1MFf+cDs7P+zLW7+cjKJcWOq9cQnuV/+zgmr9JP9a90iz5dZVRcWkmrl/2s/JjOvXobets3348VE2uh7x9tk5f1KuZsJU3Z/vXflwUBOSvPKj/HvDo7g1N3ozj02oJZyvz3iExMjUIEUoRNfWIUdGVn+2hp/85GdomvdFOXHCBN577x0+/XQZmzZtavHvCgoL/SYsovspqy3mg93/BWi2EqKORlHlSVYeeovFw+8wtM2VT49sNhGBsx/mHz42gQGTSkjsXXMR0bfdjg/6tZCI4Lts42uDSB9Uzju/ngQ033NG11RKjsew9J+jyJvywxb7vmi6hu5x88rWv/PDBX/vMSsDThXZ2Oj4Hai699/5VA+e6OP8572P+cF913d+gHgLuL2y5e+4Pa5mn+OarmF31fP6tif41uzfBiFCIXqOVr2zLVu+3JeIAGzZuhWHw0H//v6/scVER3PrLTdz3XXXBhwruofNuSsJNIlDR2NL7mc43faA23PaTGx5e4D/Hi2AoupsfnNgq2JtL7oO618ZHHDuimLS+OzZ4Y2/tbw9TWX79hKKq/P81kzQ0aiylXGkZFfrg+6iPl69ExSP/8r6qofyuA8oPe3otLjOdbB4OzWOSr9lxzVdo7Aqh4KKE50YmRA9z0V9zZo7dw4hISHs2b3H77iwsDAmTZ7E1VddxcoVy/nlL3/hd7zVaiUyMtL3LyJCZkV3NQeLd1xw2Lo5To+DvPLAp1Xy9yXgrLcEHKd5VA6uMVYRtL3VloVSciy2+e6659A9KhVFkQETKwBP7xUoBO45oyomDvWgZCTfsREUA0uQTS62bG/fuilGHSnZbehIlKqoHD69q+MDEqIHa/UE1kbp6Wn8+U9/4vU33mTvvn0tjlu+fDlPPfU0Lpe3NsKUKZN54/UlbN68haVLlzb7Nw98+1s89ND32xqa6AROj/Fvqy7NGXiM3fhT0dmKse3JZQ+cNJxlcOmPpb5hzk0gOm5P4Puxu9BM9YbvIqcrOPPEXJozYIdmLwWXu+c8NkIEQ5uOjCQlJfH6ktc4cOAAP/7xw37HHjx4yJeIAGzcuIl9+/Yzc+aMFv/m8SeeJHvQEN+/MWPHtyVM0YHiw5MDVj9sFBsWeHlqbFqdoW0pqkZ8RsuToDpSZIId1WysEZxq0ox986/sg0bgberQo5b5hrl6gcdYcpecENPB0TQvNizR0HJyTdeI60GPjRDB0OpkJCkpibfefJ28vHzu+8r9OJ2t/0bgcjmJjopq8Xqn00ltba3vX12dsQ8q0Xkm9J4bsIW3gkJaTG/SYgI3T0sdUEX64PIWS5030jWVCV8Kzmoaa5iHUYtOBu5NY9LInl4EeoCXl6KTUHWFsYZfusbYXjNbE26XNr7PHDAFSMJ0UKuzmDQ5pXOCOs+4rJmG+p+YVBMjM6d0QkRC9FytSkYSExN5840lFBQU8uX7voLDceGh+rFjx3DXXXf6fh8wYECT67OzsxkxYgRbtm5tY8iiKxiRMYmEiBS/H6Q6OvMH32B4m/O/sadhnkXzSY5q0ojPrGHkZXnNXt8ZZt5zENWk+0qxn09RNaxhbq74wQ6S+1X6T1x0hcvuK2Rqv4V+96mgMLbXjB5Vz2Lu7CzM5SPA4+eUmwLjY+7GbArOCqLEyDRGZkwJeARwev/FhFlkXpsQF6NVr/LXXn2Z9PR0Nm7cyJ133sFXvnIfX/nKfYwdO8Y3Zs7s2fzfwz/2/f673/6a5597lu9+9zv8+pFf8cH77/L552t57bUl7XcrRKezmKzcN/UnxIV7PyDPfcNWFBUFhetG3ceQ1LGGtzl4ZhHX/XwzikqTRnSNR0vi0uu475lVWEKNnSrpCCn9q7jrH2swh3hQVG8PGS8dFJ3QSBdffno1CZm13v9neZcgn3vEx3sKR+fKH21jxIJ8Fg69xXfU49zkrvHnwaljuXbUfZ1y+zqL2azwzUXfxVw9yHuBds4pm4YEZZDtO1x79eAgRHfWl8Z8lUEpo4HmH5vxveewYMiNwQhNiB6lVUXPfv6zn2K2XPhNZvXqz1mzZg0As2fPZsrkSU2Kms2ZM5uxY8Zgs9nYuWsXGze2XJOkOVL0rOtyeZzsK9rMltzPqKgvxWIKYWjaOCb2mUdCRNsOr5flR7Ll7QEcWJ2Jy2YmLqOWCdcfZ8RlJ7GEtH8TuLaoLQ9h27v92f1pH+qrrUTG2xl7VQ5jrzrRpEme26myb1Uvtr49gLK8KCyhHgbPLGTSjUeb1ErRdZ2T5UfYlLOCvPKj6OhkxPZlct8F9E8c1mMb0NkdGitXnWDHqeU4QnNQtBCS3dO4bNJUBg8NzlyR82m6xvHS/WzKWUFRZQ6KotI7YRCT+84nK25gj31shGgP0ptGdCp7rZnasjAsoW6ik21dro9MRyk5Hk11SThxGbUk9g7OxFohhOiqOqw3jRDnOnU4ls9fGMq+FVloHu+h66S+VUy7/RDjrzve5g62Xd2yx0ey6fVsHHWNDd10wmIczLr3ADPvPhTU2IQQoruRZES02ZH1abz0vZnomuJLRABKc6N577cTObYplVse24Bq6vIH31rl2fvmkbsjhaYTbRVsVSEs/ftYCvYncNsf1wcrPCGE6HZ66PdW0dFqzoTy8kMz8LjVJokI4G18hsK+lVms+9+QoMTXUZY/ObIhEYELq3Z5f9+3Iostb/fv1LiEEKI7k2REtMnWd/vjcZkaEo+WKHzxymA8rp4zgWTjkmxaWnp8rtXPDQ84RgghhJckI6JN9iztjYF6UNSVh5K3p2dUpzxzMhJHrZXAdcwVqkrCcTvl5SWEEEbIu6VoE1u1kQ9lL3uNNfCgbqCqJLwVo5WG+0gIIUQgkoyINolMsGPkdAVARLy9Y4PpJPGZtRi9zaATFtszbrcQQnQ0SUZEm4y9OsfAgRGd2PRaMoeXdUZIHS4uvZ7IeCNJmE5Sn2rMslZNCCEMkWREtMnYq04QFuUM0NhOYfaX9/eoWiOzv7IvwAhvonLZA7s6PBYhhOgpetDHhOhMYVEu7n1qNSER7gsSksa+MtPvPMiE648HI7wOM/XWo4y+Igdv0nH+ERLv79PvPMiwuYWdHZoQQnRbciBZtFnmsHK+89bHbHo9m61v96e+KhRF1Rg45RRTbz1C9tRTwQ6xQ9z0200MmFTMqmdGUFEYifd8lU5S32oWPriLobMlERFCiNaQZKS70HW6YsOXmGQbCx/YzcIHduN2qqhmLeBpGb3hgEIXvDmGjb0ql7FX5aJpYKsxExbl7lGno4Khiz7FhRCdQJKRLizWeZqx5csZUbWOME8tDjWMg9FT2BZ/GWdCewU7vAuYrS3PH/G4FPYs683GJdkUHYoHIG1QBVNuPsLIy09itnSNbrxGFR+LYdOSbPYs6429zkJ4tJMxV+Yw+aYjJGRJwzyjbNUWtr47gM1vDqCyKBKTRWPA5FNMufUIAyYVS3IixCVCuvZ2Uf1qdvGlgr+h6hoqZz+oPago6Hyc/jX2xc4IYoTGOerN/O+BWeTuSEFRNXTNewih8efeY05zz+NrCInoHo/tzo/78NYvJqMoNCmFr5o0FFXn9r+sY/CMoiBG2D2cORnF81+dR01pWMPRMm/moZo0NI/KlFsOc+WPtktCIkQ3ZrRrrxxY7oLiHaf4UsHfMOnuJokIgAkNBZ0ri54ho/5IkCJsnbd/NYmTu5IAfInIuT/n7U7krV9ODkpsrZW3O5G3fjHlguaA4E1MPG6VVx6awemc6CBF2D24nSr/+eYcastC0Rt6GTVqvF83LhnE+lcGBSlCIURnkmSkCxpfvgxF11os46EAGgqTyj7qzLDapCw/kn0rejdJQs6nayr7V2VRlhfZiZG1zdr/DUFRdFossqIr6JrCxteyOzWu7mbfql5UFkVe2GTxPJ//d1iP6m0khGieJCNdja4zonItJvzPoTChkV2zgxBPXScF1ja7PunjW+rrj2LS2PlJ306IqO3stWYOfp4Z8ANU86js+LCfb6KuuNCOD/oFqFHjVVceyvGtqZ0QkRAimCQZ6WLMuhOr7jA0VkEn3FPTwRFdnNqy0IYjCf4pCtSeCe2EiNquriIUXTP2Ld1lN+O0yfzwllSfDvd7tOxcXf15IYS4eJKMdDFuxYKnFQ+LQw3rwGguXkiEC3QDH+A6hES6Oj6gixDaivgUVcMS4unAaLq3sGgHRvv8dPXnhRDi4kky0tUoKkeixgdMSDQUCsIGUG+O6aTA2mbYvIKApzXAe2pj+Lz8Toio7SLiHGSNKg14ekE1aQydU4BqkvM0LRm+IN9Q02dLqJsBk4o7PiAhRFBJMtIFbU1YFHDOiIrOloTFnRRR22UOKyNz2BlUP/NGVJNGxpCybtFQb/odhwKeXtA8KlNvO9xJEXVPY686gTXMjaK0/LxQVJ2JXzrWbZZ8CyHaTpKRLqgwfBArU24HvEdAztX4++b4xRyOmtjpsbWWosBtf/qCyAR7swmJatKIiLdz25+/6Bb1JIbNy2fG3QcALuzJ0/D75d/bQd+xpZ0eW3cSFuXizr+txWTRm3le6CiKTu/Rp6XhoBCXCJlh10VtTVhMuTWNyWUfklV/9lv26dDebE64ggPRU7pN7ezYtHq+9epS1v53KFvf6Y/TZgHAGuZi/HXHmXXvAaIS7UGO0hhFgUXf2UX64ArWvTiEooPxvuuyRp1h1j0HGDxTCp4Z0X9iCd94aRlr/j2MfSt7+Y44RSfbmHLLYabdfthvVV8hRM8hFVi7gUhXORHuamymCKqtScEO56K47CbKCrz1ROIzarGGde9JnhVF4diqQ4iItxOTbAt2ON1WfZWVquJwzCEeEnrVynwbIXoIoxVY5chIN1BriafWEh94YDdgCfWQOqAq2GG0m7j0euLS64MdxkXRNJ2NG4v54uAaaqyHUHQTCdo4FkyYyrDhcW3apr3WzM6P+rHr097UVYQSGW9n9OIcxlyR2+wckPAYJ+Exzou9KUKIbkqSESEuYfV1Hv7+2kvUJq2AeDOYvInCac9xXjn+Kr123MfX7piDqho/JZi3J4EXvj0be63Ve4GuUF4QSd7uRFY8NYp7n1xN5rDyjrg5QohuSiawCnEJe3zJm9QmrPL+YjrniEXDz/kx/+bF17cY3l55QQT/+cZcHHUWb32ZxhozDf1n7DUW/v31uVQUhbfTLRBC9ASSjAhxiTp0oIqqxA8hQN2UI6b/UFtrbK7WFy8Pwe0wtbj8WddUXDYzG1+TBnhCiLMkGRHiErVq6xbwGDhTa61l5erjAYe5XSrb3+9nqHfP1nf7o3m6x2owIUTHk2REiEtUtbsYVAOrmTQLpVWB66bUV1px2Y1NQ3PUWbHXWAyNFUL0fJKMCHGJMhECuoG3AEXDYgqcOLS2F49ZevcIIRpIMiLEJWpA4ghjR0ZUD2OGDgg4LCzaRfrg8oC9exRVo9eI0m5fY0YI0X4kGRHiErVowUCwx4K/XjseE9aycYwalWBom1NvPRywd4+uqUy99UgrIhVC9HSSjAhxiQoPN3NZyv95T9U0l0B4TOCM5vZpXzG8zdFX5jB8wUlQWqqgqjPq8hxGLDzZtqCFED2SJCNCXMJmz87kmvQ/Yq0Y1/QKXSGyfC5fmfB7Bg6KNrw9VYVbfr+B+d/YQ1iMo8l14TF2Lvv2bm787UZUeecRQpxDKrAKcYmbNDmFSZO/y4H9lZw4eQZVVRg+JI2s3m0rTKaadObev5+Zdx8kZ3sy9ZUhhMc56DvuNGaLNL4TQlxIkhEhBABDh8UydFhsu23PbNUYOKW43bYnhOi55GCpEEIIIYJKkhEhhBBCBJUkI0IIIYQIKklGhBBCCBFUkowIIYQQIqgkGRFCCCFEUEkyIoQQQoigkmRECCGEEEElyYgQQgghgkqSESGEEEIElSQjQgghhAgq6U0jOo3mUTj8RTqFB+IByBhazqDpRaimltrNCyGEuBS0KhlRFIWFCxcyZcokLGYLu3bv5u2338Hj8fj9u9TUVO6843YyMjPIycnlf/97kcrKyouJW3QzB9dk8N6jE6gpDUc1eTu3ah6VqEQb1/xkC0PnFAY5QiGEEMHSqtM077/3Dl+6/jry8ws4duwYDz74AG+/9QYWi6XFv8lIT2fZ0k8YPnwYO3bsZMb06Xz6yUfExsZebOyimziwOpOXvz+TmjNhgDcJ0Tzep15NWSgvPzSTfasygxmiEEKIIGrVkZFvfONbFBYV+X5fvmIlWzZvZO6cOSxbvrzZv/ne977L6dOnuffLX0HTNN54403Wf7GO++//Cn/6058vLnrR5bmdKm8/MgkdQFcuHKAroOi8++tJDJ5RhNmqdXaIQgghgqxVR0bOTUQASkpKcDqdfo9yzJ07l08++RRN837I2O12Vqxcwfx5c1sfreh29q/qha0qpPlEpJGuYKsOYd+qXp0XmBBCiC7jolbT3HH7bSiKwoaNG5u9PjQ0lNTUlAuSmIKCQrKyslrcrtVqJTIy0vcvIiLiYsIUQZS3NxHV7H9OEYBq1sjbndgJEQkhhOhq2ryaZuKECfz85z/j0d8/Rn5+frNjQkJCAKirq2tyeX1dne+65jzw7W/x0EPfb2toogvRDZ910dH9HT0RQgjRY7UpGRkzZjQvvvgCzz33PM8882yL4+rq6vB4PBecxomLi6O6urrFv3v8iSd55tnnfL9HRESwc8e2toQqgix1YCWaO/ABOM2tkjqgsuMDEkII0eW0+jTN6NGjefWVl3nppZf5/WN/8DvW7XZz9OgxBg8a1OTywYMHc+jQoRb/zul0Ultb6/t3/pEV0X2MWnQSS2jg0zSWEA+jF+d2fEBCCCG6nFYlIyNHjuS1V72JyO8e/X2zY664YjF/+fOffL+/8+67XH31VaSkpAAwYMAA5s6dw9vvvHsRYYvuIiTCzaLv7Ao4buGDuwiJcHd8QEIIIbqcVp2meenFFzCZTPTq1Yunn3rSd/lHH3/Mxx9/AsDgQYNYvPhyHvrBDwF49tnnmDhxAitXLGPv3n2MGTOaDz/6iLfeersdb4boyqbccgTNo7D0H6O9p2yUhoqruoJq0lj44G6m3nYkuEEKIYQImlYlIz/92c8xqaYLLj927Ljv548+/oQDBw/6fnc6ndx11z2MGDGCjIwMHvn1bzh8+PBFhCy6o2m3H2bMlTns+KAfBQ3l4DOHljP2qhOExzqDHJ0QQohgUtLSM7t8Y5DIyEiOHD7IX/a8gVOTQ/lCCCFEd2BVzTw08iayBw2htra2xXHStVcIIYQQQSXJiBBCCCGCSpIRIYQQQgSVJCNCCCGECCpJRoQQQggRVJKMCCGEECKoJBkRQgghRFBJMiKEEEKIoJJkRAghhBBBJcmIEEIIIYJKkhEhhBBCBJUkI0IIIYQIKklGhBBCCBFUkowIIYQQIqgkGRFCCCFEUEkyIoQQQoigMgc7gNawqt0qXCGEEOKSZvRzu1t8ukdERADwwPDrgxyJEEIIIVorIiKC2traFq9X0tIz9U6Mp81SUlKoq6szPD4iIoKdO7YxZuz4Vv2d6Hjy2HRd8th0XfLYdF3y2PgXERFBSUmJ3zHd4sgIEPCGtKSurs5vNiaCRx6brksem65LHpuuSx6b5hm5T2QCqxBCCCGCSpIRIYQQQgRVj01GnE4nf/nLX3E6ncEORZxHHpuuSx6brksem65LHpuL120msAohhBCiZ+qxR0aEEEII0T1IMiKEEEKIoJJkRAghhBBB1W3qjLTFyJEj6dunD+s3bODMmTPBDueSd9VVV6IqTfPfvfv2cuJETpAiEucbOnQImRmZ7N+/n8KiomCHc8kbMmQw2QOzm73ugw8/RNdlyl+wDR06hF6Zvaiqrmb3rl3Y7PZgh9Qt9dhkpE+fPrzy8oskJCRw8y23sm7dF8EO6ZL35BOPs2XLVkpLS32XVddUSzLSBSQlJfH8c8/Qq1cWO3fupF+/vrzxxps8/a9ngh3aJW1Q9iAWLrysyWWTJk1CVRU++PDDIEUlAKKjo3n5pf+RlZXFzp27yOyVSVpqKl/7+jdYv35DsMPrdnpkMmKxWHj6qSd56qmn+fnPfxbscMQ5nnjyKdasWRPsMMR5/vOf53HYHUybNh2b3Y6iKMybNzfYYV3y3nv/fd57/33f7yEhIezcsY2XXnpZjooE2V133Um//v2ZOnU61dXVADz15BP86le/ZMGChUGOrvvpkXNGfvKT/+PosaNNXsSiaxgyeBCLFi5k6NAhKIoS7HAEMGPGdMaNHcuvfvWI7xCzruusXLkqyJGJ8y1efDnR0dG8tuT1YIdyyQuxWqmqrPIlIgB5+flYLZYgRtV99bgjI3PnzmHRwstYcNkioqIigx2OOIeu69xwww0UFhUyetQoCguL+NrXv0FeXl6wQ7ukTZ40ibKyMg4dPszUqVOwWkM4ePBgm/tBiY5z6623sH7DBnJzc4MdyiXvvy/8j1mzZvLkE4/z+dq1ZGZkcO01V/OjHz0c7NC6pR6VjCQnJ/OXP/+Jr33tG9TW1koy0sXcc++XWb16DQCRkZG8+spLPP7Pv3PNtdcHN7BLXEJiArW1tbz37jvY7XY8Hjfjx0/gb3//O0888WSwwxMNsrKymDplCt/61gPBDkXgbf62bfsOrrryCiIiIsjMzCQvP5/8gvxgh9Yt9ahk5Oc/+yk5ObmkpaVxzdVXExsXC8CUKVNwudxs2rQpuAFe4hoTEfC+kJ96+hn+8+/niI2NpbKyMmhxXeocDge9e/fmH/94nCWvew//X375Ip579hlWr17N/v0HghyhALjllpuprKzk06VLgx2KAH70wx9wxeLLmTf/Mt+pmscee5SXX3qJGTNnoWlakCPsXnrUnJHDhw9TUlLCokULWbRoIbNnzQJgwoTxjB83NsjRifPV1tYAkJAQH+RILm0nc08C8PEnn/guW7ZsOZqmMWL4iGCFJc6hqio33XQjb771tvQ/6SImT57M2rXrmswZ+fjjT+jbtw/p6elBjKx76lFHRp548qkmv6elpbJw4WX885+Py9LeIEtMTLyg1sviyy+nvKKC3IYPQxEcK1d9xiOP/IoBA/qzc+cugP9v7/5ZEojjOI5/hnsAToVxBYb6DGqTJEG3Wips7Q/UHD2EaoigGvT6M9cQarXVUF01uTiLm4JNRY7CHbQ01Nb2Pe39Gm/6jG+4H7+fJhMJOY6jLneNREI2O6OxeFwXF5fWU/Ct+9ZVKpX89S2VTCoIgl/XF+BvhipGEF3T01Pa3NzQ3d29Pt7flclkVCjktbW1rTAMref9a+12W+WypxOvrNOzc4VBoJXVFfn+s15eifgoWC4WVa/X1Wq1rKfgW6nkqVq5kueV9PToa3xiXOtrqyqVPfX7fet5A2eoX+2NxWLa293R4dGxms2m9Zx/L51Oa35+TqMjI2p3OqrVrtXpcNgrKgr5vHK5WQVhqEajoUqlyn/vCHAcRwcH+7q5udXDw6P1HPzguq6WFhfkuq4+ez35/rN837eeNZCGOkYAAED0DdUBVgAAMHiIEQAAYIoYAQAApogRAABgihgBAACmiBEAAGCKGAEAAKaIEQAAYIoYAQAApogRAABgihgBAACmiBEAAGDqC93KwiGFPNHcAAAAAElFTkSuQmCC" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.29 = -1.0 * 2.9 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.43 = -1.0 * 4.3 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.58 = -1.0 * 5.8 * 0.1\n", - "-0.40 = -1.0 * 4.0 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.41 = -1.0 * 4.1 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.42 = -1.0 * 4.2 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.45 = -1.0 * 4.5 * 0.1\n", - "-0.23 = -1.0 * 2.3 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.53 = -1.0 * 5.3 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 7.0 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.9 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 6.5 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 4.9 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.2 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.0 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.8 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.4 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 3.4 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.1 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.71 = 1.0 * 7.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.76 = 1.0 * 7.6 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.49 = 1.0 * 4.9 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.73 = 1.0 * 7.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.36 = 1.0 * 3.6 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.57 = 1.0 * 5.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.22 = 1.0 * 2.2 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.56 = 1.0 * 5.6 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.74 = 1.0 * 7.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.79 = 1.0 * 7.9 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.59 = 1.0 * 5.9 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "5.689999999999995\n", - "#11 err:0.6666666666666666\n", - "[[ 0.28677805]\n", - " [62.51017307]]\n", - "[[0.]]\n" - ] - }, - { - "data": { - "text/plain": [ - "
" - ], - "image/png": 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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.29 = -1.0 * 2.9 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.43 = -1.0 * 4.3 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.58 = -1.0 * 5.8 * 0.1\n", - "-0.40 = -1.0 * 4.0 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.41 = -1.0 * 4.1 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.42 = -1.0 * 4.2 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.45 = -1.0 * 4.5 * 0.1\n", - "-0.23 = -1.0 * 2.3 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.53 = -1.0 * 5.3 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 7.0 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.9 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 6.5 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 4.9 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.2 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.0 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.8 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.4 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 3.4 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.1 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.71 = 1.0 * 7.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.76 = 1.0 * 7.6 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.49 = 1.0 * 4.9 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.73 = 1.0 * 7.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.36 = 1.0 * 3.6 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.57 = 1.0 * 5.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.22 = 1.0 * 2.2 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.56 = 1.0 * 5.6 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.74 = 1.0 * 7.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.79 = 1.0 * 7.9 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.59 = 1.0 * 5.9 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "5.689999999999995\n", - "#12 err:0.6666666666666666\n", - "[[ 0.28677805]\n", - " [68.20017307]]\n", - "[[0.]]\n" - ] - }, - { - "data": { - "text/plain": [ - "
" - ], - "image/png": 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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.29 = -1.0 * 2.9 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.43 = -1.0 * 4.3 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.58 = -1.0 * 5.8 * 0.1\n", - "-0.40 = -1.0 * 4.0 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.41 = -1.0 * 4.1 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.42 = -1.0 * 4.2 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.45 = -1.0 * 4.5 * 0.1\n", - "-0.23 = -1.0 * 2.3 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.53 = -1.0 * 5.3 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 7.0 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.9 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 6.5 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 4.9 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.2 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.0 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.8 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.4 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 3.4 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.1 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.71 = 1.0 * 7.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.76 = 1.0 * 7.6 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.49 = 1.0 * 4.9 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.73 = 1.0 * 7.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.36 = 1.0 * 3.6 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.57 = 1.0 * 5.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.22 = 1.0 * 2.2 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.56 = 1.0 * 5.6 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.74 = 1.0 * 7.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.79 = 1.0 * 7.9 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.59 = 1.0 * 5.9 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "5.689999999999995\n", - "#13 err:0.6666666666666666\n", - "[[ 0.28677805]\n", - " [73.89017307]]\n", - "[[0.]]\n" - ] - }, - { - "data": { - "text/plain": [ - "
" - ], - "image/png": 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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.29 = -1.0 * 2.9 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.43 = -1.0 * 4.3 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.58 = -1.0 * 5.8 * 0.1\n", - "-0.40 = -1.0 * 4.0 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.41 = -1.0 * 4.1 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.42 = -1.0 * 4.2 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.45 = -1.0 * 4.5 * 0.1\n", - "-0.23 = -1.0 * 2.3 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.53 = -1.0 * 5.3 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 7.0 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.9 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 6.5 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 4.9 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.2 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.0 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.8 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.4 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 3.4 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.1 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.71 = 1.0 * 7.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.76 = 1.0 * 7.6 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.49 = 1.0 * 4.9 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.73 = 1.0 * 7.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.36 = 1.0 * 3.6 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.57 = 1.0 * 5.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.22 = 1.0 * 2.2 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.56 = 1.0 * 5.6 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.74 = 1.0 * 7.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.79 = 1.0 * 7.9 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.59 = 1.0 * 5.9 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "5.689999999999995\n", - "#14 err:0.6666666666666666\n", - "[[ 0.28677805]\n", - " [79.58017307]]\n", - "[[0.]]\n" - ] - }, - { - "data": { - "text/plain": [ - "
" - ], - "image/png": 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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.29 = -1.0 * 2.9 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.43 = -1.0 * 4.3 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.58 = -1.0 * 5.8 * 0.1\n", - "-0.40 = -1.0 * 4.0 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.41 = -1.0 * 4.1 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.42 = -1.0 * 4.2 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.45 = -1.0 * 4.5 * 0.1\n", - "-0.23 = -1.0 * 2.3 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.53 = -1.0 * 5.3 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 7.0 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.9 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 6.5 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 4.9 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.2 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.0 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.8 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.4 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 3.4 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.1 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.71 = 1.0 * 7.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.76 = 1.0 * 7.6 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.49 = 1.0 * 4.9 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.73 = 1.0 * 7.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.36 = 1.0 * 3.6 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.57 = 1.0 * 5.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.22 = 1.0 * 2.2 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.56 = 1.0 * 5.6 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.74 = 1.0 * 7.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.79 = 1.0 * 7.9 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.59 = 1.0 * 5.9 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "5.689999999999995\n", - "#15 err:0.6666666666666666\n", - "[[ 0.28677805]\n", - " [85.27017307]]\n", - "[[0.]]\n" - ] - }, - { - "data": { - "text/plain": [ - "
" - ], - "image/png": 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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.29 = -1.0 * 2.9 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.43 = -1.0 * 4.3 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.58 = -1.0 * 5.8 * 0.1\n", - "-0.40 = -1.0 * 4.0 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.41 = -1.0 * 4.1 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.42 = -1.0 * 4.2 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.45 = -1.0 * 4.5 * 0.1\n", - "-0.23 = -1.0 * 2.3 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.53 = -1.0 * 5.3 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 7.0 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.9 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 6.5 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 4.9 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.2 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.0 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.8 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.4 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 3.4 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.1 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.71 = 1.0 * 7.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.76 = 1.0 * 7.6 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.49 = 1.0 * 4.9 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.73 = 1.0 * 7.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.36 = 1.0 * 3.6 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.57 = 1.0 * 5.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.22 = 1.0 * 2.2 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.56 = 1.0 * 5.6 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.74 = 1.0 * 7.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.79 = 1.0 * 7.9 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.59 = 1.0 * 5.9 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "5.689999999999995\n", - "#16 err:0.6666666666666666\n", - "[[ 0.28677805]\n", - " [90.96017307]]\n", - "[[0.]]\n" - ] - }, - { - "data": { - "text/plain": [ - "
" - ], - "image/png": 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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.29 = -1.0 * 2.9 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.43 = -1.0 * 4.3 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.58 = -1.0 * 5.8 * 0.1\n", - "-0.40 = -1.0 * 4.0 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.41 = -1.0 * 4.1 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.42 = -1.0 * 4.2 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.45 = -1.0 * 4.5 * 0.1\n", - "-0.23 = -1.0 * 2.3 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.53 = -1.0 * 5.3 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 7.0 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.9 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 6.5 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 4.9 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.2 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.0 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.8 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.4 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 3.4 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.1 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.71 = 1.0 * 7.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.76 = 1.0 * 7.6 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.49 = 1.0 * 4.9 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.73 = 1.0 * 7.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.36 = 1.0 * 3.6 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.57 = 1.0 * 5.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.22 = 1.0 * 2.2 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.56 = 1.0 * 5.6 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.74 = 1.0 * 7.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.79 = 1.0 * 7.9 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.59 = 1.0 * 5.9 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "5.689999999999995\n", - "#17 err:0.6666666666666666\n", - "[[ 0.28677805]\n", - " [96.65017307]]\n", - "[[0.]]\n" - ] - }, - { - "data": { - "text/plain": [ - "
" - ], - "image/png": 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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.29 = -1.0 * 2.9 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.43 = -1.0 * 4.3 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.58 = -1.0 * 5.8 * 0.1\n", - "-0.40 = -1.0 * 4.0 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.41 = -1.0 * 4.1 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.42 = -1.0 * 4.2 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.45 = -1.0 * 4.5 * 0.1\n", - "-0.23 = -1.0 * 2.3 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.53 = -1.0 * 5.3 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 7.0 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.9 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 6.5 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 4.9 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.2 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.0 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.8 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.4 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 3.4 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.1 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.71 = 1.0 * 7.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.76 = 1.0 * 7.6 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.49 = 1.0 * 4.9 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.73 = 1.0 * 7.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.36 = 1.0 * 3.6 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.57 = 1.0 * 5.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.22 = 1.0 * 2.2 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.56 = 1.0 * 5.6 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.74 = 1.0 * 7.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.79 = 1.0 * 7.9 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.59 = 1.0 * 5.9 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "5.689999999999995\n", - "#18 err:0.6666666666666666\n", - "[[ 0.28677805]\n", - " [102.34017307]]\n", - "[[0.]]\n" - ] - }, - { - "data": { - "text/plain": [ - "
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HPBTg8+QbOiMkIYS4pEgyIoSq8kXS9UDLJ2F0oNSawfGocZ0WlhBCXCokGREC2Jh0LRsSrwa8icf5/05be/Gffr8NXoBCCNGDSQVWIRqsTb6ZLfGXM7fkNXrXH0TRNaosSaxOuZmi8OxghyeEED2WJCOiS0q25TK99B1CNBslIVl8lnwzmKwdvl+7OZpPMr7W4ftpSayzhDTbCRR0SkJ7S/8ZIQLQdZ2iqlxKa4swKWay4gcSExZ/Udt0uh0cP7Mfu6ueyJBo+iUOxaTKx2VHkntXdCmJtpPcmfsbQnSbb4VLn/oDTKxYysnwobzW56dBja+jJNoLmF/yIn3r9je5PD8sm1Wpd3AqrH+QIhOi6zp6eg+f7n+N4uo832UKCkPTxnPFiDuJDUto1fbcHhcrD73NppzlOD0O3+UR1ihmDryK6f0XoyhG1t6J1pI5I6LLSLDl85WcnzRJRM7Vp/4A9x/9YafH1dGS7bncnftLetcdvOC6DNtR7sj9NZl1h4IQmRBd197Czbyw8Y8UVzftHq+jc7B4O099/nMq688Y3p5Hc/Pi5r+w7thHTRIRgDpnDZ/uf5X39/wXXZdaQx1BkhHRZdyR550g2lwi0nhZoquIMeXLOy2mDqfrXFPwJGbN2WzxNRUdVfdwXeE/UXRPEAIUouuxOet4c8fT6L4p5k1puka9s4Z3dz1veJubclZwrHRfwzabtyV3FUdO725LyCIASUZElxDjLCbMUxuw+JgOzDz9dmeE1Cl61R8i0Vnktwqsik6ku4qBNTs6MTIhuq4d+Wtxa26/YzRd42jpXspqiwNuT9M1NpxYRqAKy6qisuH40taEKgySZER0CZPPfGSoCqoChGm1HR1Op+lbtxePgZehBxN96/Z0QkRCdH1HTu/BaGuGY2f2BxxTWX+GivrSgOM0XePYmf1yqqYDSDIiugSrZg92CEFh1pw0f2LqfDpmzdXR4QjRLbg8TkPjFBTcnsCvG3crXlu6rqHprelnJYyQZER0CXnhQwyN0wGtBz1tK60phhr1KQ1jhRCQGJmKqgR+H9DRSYhIDjguOjQOVTEZ2nd0aBwm1dhYYVzPeVcX3dru+HloKIb6wxhNXLqDAzFT8Rh4E1TQ2RM7sxMiEqLrm5A1x9DRiQhrNAOTRwUcF2oJZ0TG5IAJjoLCxD7zDMcpjJNkRHQZu2NnAf77w+jA++nf6qyQOpzdFMGmhKv8JmE6Cjvi5lJjaV3NBCF6qsy4/mQnj0IJkDxcNvQmw0cxZg+8GlUxobRw2lRRVCJCoiUZ6SCSjIguY2n6/ZyIGAE0TUjO/fnVXj/GZo3p1Lg62rqk69kWdxlAk8msjT/vi5nGytS7ghKbEF2RoijcOuFB+icOA2hyRKMxQVk49BYm9J5jeJsp0ZncM+VHWM0hnDuPqzE5iQqJ4SvTfkpkSHQ73AJxPiUtPbPLTwuOjIzkyOGD/GXPGzgDLOcS3V9W7T4Wn/o3Ma5SFHQ8mDgeOZr3M76BxxQW7PA6TLL9JGMqVpJZfwQFnaLQ/uyMny/VV4Voga7rnDhzgM25qzhdU4CqmBiQNJxJfeeTENG2OVY2Vx0789axu3AjNlcd0aFxjO01gxEZk7F0QkuKnsaqmnlo5E1kDxpCbW3LKyElGRFdk66R4DyFRXNSbYmn3nzxR0NCPHXEOk+jKSbKrWl4VEuz41TdTbzjFCbdTZU1Cbsp8qL3LYQQlyKjyYj0phFdiqJ7GF++jAllS4lxlwHe0zTHI0axIek6CsMHtnqbcY5ipp15l6FVGzHhrWJqUyPYGTePjYlX4TSFA2DR7Ew+8xFjK1YS7qkBvCt3DkZPYn3StZSFZLbPjRRCCNGEJCOiy1B1N1/K/xv9a3c1uVzBWxysX91e3st8gMPREw1vM9WWw20nf4tZc2I6ZwltmFbH5LKPGFiznZf7/gINldtP/o5ke16TpbYqGoOrNzOwZjtLev8fheHZF3szhRBCnEcmsIouY8qZD+hfuxuFC8uAmdBQ0Lim4AmiXGWGtqfqbm7M/xOW8xIR3/V4TwUtKvo384tfuiAROXffZt3FjXl/xqw5LrheCCHExZFkRHQJqu5mfPkyv5VGvEmKzpiKzwxtc1D1ViLdVQH6vmgMqtnK8KovAvaHCdXqGFq10dC+hRBCGCfJiOgS0uuPEe4J3HOm8bSJEdk1W9EMlFpX0Js9cnI+HYVBNVsN7VsIIYRxkoyILiFUqzc8NsRjbGyIx4ZqoJmWjmIgFWk4OmJw30IIIYyTZER0CbXmOEPjdKDWYmxsrSXOUEdcBd3QC0FDpdrgvoUQQhgnyYjoEopD+1BmTTXUFLyxbHwg+2KmGTr94las2JXQgONUNPbFSH8YIYRob5KMiK5BUVifeJ3fGR4aKvWmaPbFTDe0ybzwoRSF9vN7dEQHtsYvZHPilX4TIQ2V0yGZnIgcaWjfQgghjJNkRHQZ+2OnszbpBqBpjxYd0FCwmSJ5rff/+YqUBaQovJn1A8qtab5tNNIatn8gegprk29kQ+I17I6Z1ey+daDSmswbWT9CN9C2XAghROtI0TPRpaxPuo7ciGGMK1/OgNqdmDUnNZZ4dsXNZVfsXGzmqFZtr94cwwv9fsPwqi8YV76CBEcRmqKSHz6Y7fGXcSxyDCjeJOXT9Ps5HDOJcWXL6F1/EFX3UG5NZWf8fPbGzMDZg/viCCFEMEky0pPoOmbdhaaoaErXfWhNmgugxd4wheHZ7Vrp1K2GsCtuHrviArT+VhRORI7iROSodtu3EF2Vpmu4PU4sphAUJfASeCE6Utf9xBKGhblrGFOxkrEVK4lyVwJQGNqfbQkLORg9pUucWjBrTkZWrmF8+XISnKcAKLOmsj1+IbtjZ+FWQ4IcoRCXhpwzB1l/YhkHi7ej6xoWk5WxvWYytd9CkqLSgx2euERJMtLNxTpLuD33N0S6K5tUL02zn+CawqcYXL2F9zIfCOqRkhBPHbeefJRUe26Ty+OdxSwo/h8jKz/ntd4/wW6KCE6AQlwi1h79kKUHlqAqKrruXWnm8jjZevIztuWt4Y6J32NQyujgBikuScH/yizaTNE93HzyD0S4q1DRm6xEaSz2lV2znZmn3wxOgA2uKnyKFHveBT1nGn9PtudxVcGTwQlOiEvEwVPbWXpgCeA9RXMuTdfwaG5e3vI3yutOByM8cYmTZKQbG1C7k3hXid9aGgo648qXY/XYOjGys+IdRQys3RWwP8yAut0kOAo7MTIhLi2fH/0QJUB7BE3X2Jy7spMiEuIsSUa6sWGV631LVP2x6k4G1O7shIguNKxqg6EYNVSGVW3ohIiEuPRU2srIqziKHqCsoK5r7Mhb20lRCXGWJCPdWKCOtI00FMLd1Z0Q0YXCPTXnnUBqnh7EGIXo6eocxl9b9c7ADSuFaG+SjHRj9aZIQ11pVfSgTQ61q+FgqMi7jk0msArRIcIsxl9bIRappyM6nyQj3dihmMmGutK6FTPHosZ0QkQXOhgzyVB/GBMah6IndUJEQlx64sKTSIvOCjhnRFVURmVM7aSohDhLkpFu7HDUBGrMsX7nZGgo7ImZhd0U2YmRnXU6tA95YYP89ofRUCkIy6YkrG8nRibEpUNRFGYMuDLwnBFgct8FnROUEOeQZKQb86gW3sj6EQ419IKExNtTRaEwLJtVqbcHJ8AG72U+QLUlsdmkSUOlypLAu5kPBiEyIS4dozKnMq3f5QAo570WVUVFQeHGMV8nJTozGOGJS5wUPevmTof25j/9HmVS2SeMrFyDVXcCUGVJZFv8InbEzW+x7HpnqbPE8UK/3zChbCljK1YQ7vFOkKs3RbIzbj5bEi4P2pEbIS4ViqKwePjtZCUM5Itjn5Bfccx7OQqDU8cxc8AVZMUPDHKU4lKlpKVnGpldGFSRkZEcOXyQv+x5A6fmDnY4XZZJcxLprkRTTNSY46ALlIE/n6q7iXRVAFBrievSPXSE6MlqHdU43DYirFGEWgx2whailayqmYdG3kT2oCHU1ra8UqtTPglMJlOT33VdR9MCT2oUreNRrVRZk4MdRvM0jYnlnzKh7BMiPVUA1Jli2JqwiM3xV4B6NnHqU7OXOaeXkOTIQ0HHpVg5FD2Jz1JuxW6O9o0L8dQxonIdIys/J8JdhcMUzsHoyeyMm0utJb5Db06Eu5LRFasZWrWBUE8d9eZo9sbMYG/szFZ3FhYiGCJDookMiQ48UIhO0KojI6mpqTz4wLe57LIFxMXFk5OTwzPPPsubb77V4t985zsP8uMf/RC3++wRjerqaoaPMN4ZVY6MdG9mzc5Xj/2QGHc5OmdLwjf+XG2O45kBf8athnJVwZMMq/YWPzt3HHjnl7za+ycURAwhxZbDLXmPEeapg3MqmWioaIrKe5kPcDRqfIfcnr61e/hS/l8x6W6Uhn03ztFxqmG8nvUjisLlcLcQQhg9MtKq4/i33XoLO3ftYtHlVzBs+Aiee+55/vqXPzNnzmy/f7d9xw6yevf1/WtNIiK6v3tO/IJodzlwYW8agCh3Bfee+DkzTr/B8OoNLfawUdG47eSjxNvzufXk7wn11PuSgUYqGibdzXX5/yTVdqLdb0uSPY8b8v+CSXc36QfkjU/Hqtm4Je8PRLvOtPu+hRCip2pVMvLXv/2dN998izNnzmC323n9jTcoLi5mzOjRHRSe6O5SbCdIdBb6rW6gAAnOIiad+cjvwsPGhOSawqcJ0WwtVp/17ktnypkP2hp2iyaVfYSiay3Wd1HRsWgOxpUvb/d9CyFET9WmGY4mk4moqChuveVmYmJiWL58hd/xw4YO5fixoxzYv5dXX3mZYcOGtilY0f3MOt3yKbzzWfAYqCcLKY6TAcvgm9DIrtlGmLvG8P4DsWh2hlZtCljETUVjdMVnoHf5ueFCCNEltHoCa3Z2NitXLMNsNmOz2fnhj37Evv37WxxfUlzCg9/5LqtXryEmJpqHH/4x77z9FnPnLaCwsPkurVarFavV6vs9IkLKhHdX0e6ydt2ekWSlkYpOhLuy3SaURrirMeExNDZUs2HRHbiU0HbZtxBC9GStTkaOHDlCVu++hIeHc/VVV/HXv/yZ+rp6li5b1uz4Ja+/7vu5rq6O73//B2zatIHbbruVP/3pz83+zQPf/hYPPfT91oYmuiCXYg08qJXOnQQbiFsNabf9ulTjt0UH3Epw67sIIUR30eZCFPX19Sx5/XVWrfqM22+/zfDfud1uTpw4Qd8+fVoc8/gTT5I9aIjv35ixHbMqQnS8AzGTDSUOjStSAtHxNt/zV14evGXwyy0pVFqSDGzVmDpTDCUhWQGbE2qonIgYga6Y/I4TQgjhddFVsaxWK5p+9hy6oiioasubtVgsDOg/gOLi4hbHOJ1Oamtrff/q6uouNkwRJFvjLseNyW+ioQNuTJyy9jGUkGxIuCbgvA0Fna0Ji0BpzYmdABSFrQmLAjYnVNHYHr+o/fYrhBA9XKuSkX8//xxTpkwmJiaGlJQUvvH1rzF79iyWLDl7Kub73/su+/ft8f3+/HPPMm3aVGJiYujbtw+P//MfREVF8vIrr7TfrRBdl+qt+QHNH/lovOz9zG/zep8f41RC/I7bHzONLUlXsj7xGr/bPBI1np1x8y8u9mbsjZnBvuipDXVFmo9xS/zlHI+U5etCCGFUq+aMPPX003znOw8ydswYXC4XR44c4c677mHNmjW+MZqm4fGcneT35FNP8b3vfZexY8Zgs9nYuWsXi6+4ihMnctrtRoiu7Wj0BJb0epgrTj1DlLuiSTGzGlMcn6R/lZyokQA8NfDv3JT3Z9Ltx5ucDHErVjYnLGZd8o0ArE2+iQprKlNL3yPeVeIbV2eKZmvCIjYlXIneEeXwFZUPM75BSVgfJpZ9QpS70ndVlSWJjYlXsyt2TvsekRFCiB5OetOITpVky2VA7S4AjkWOpjSsT7PjQt21DK9aR6injpLQ3hyNntD8BnWdVHsOke5K7KYIisL6d1q/G0X3kG47TpinljpzDKdC+3bJfkBCCBEsXao3jeh4ifZ8RleuJtFRiEcxczJ86EX1STFrdmaXvM6gmq1YNAcOUwS7YmezMeFKUNv2tEmvP8LcktdIcBQB0L92N5+l3EpReHaTcRbNzqCaLfSuO4hFsxPlrqDeHENh2MCmRxx0jb51+xhe9QWRrgpspkgOR0/kcPSENickMc4SFhS/RJrtOKruocaSwLqk65tNhnTFROF5sXdXZ05GseXtARQfjUU1afQZU8q4a08QlWBv0/Y8modDxTvYU7SJOkc1kSExjMqYwqDUMajnJWyFlTlsO7mGM7WnsJisDEgewdheM6R5mxCXEDky0s2pupvFRc8xouoLPKiY0Hx9UjTFxNK0L7M3dlartjmkcgNXFz2Fiu5bRtv4f5di4eXeP6M4fIDxDWoat5/8Hb1sh4ALe87khw3ild4/A1WlT+1eri/4B1bNho6Ciu67XbnhQ3mn13dxmCKIcpVxU96fSHbk+67XGsbXmmN5o9cPKAnr26rbvajoeUZXrvb9fu7trjQn8u9+v8dp7lkfkJpH4cM/jmPzG9moJg3NowI6igqKorP4+zuYetuRVm2ztKaIFzb9kYr6UhRFRdcbHxmNhIgU7p78IxIjU3G6Hbyx/SkOFG9DVdRzJsIrWEwWbhz7DYanT2z32yyE6Dwd0ptGdD1XFD3LsKr1AL4VJo19Uky6myuLnmVQ9RbD2+tVd4Brip5EaUgVzu29AmDWXdyV+2sincaLmd2c/0eybIda7DmTZTvMLXl/IL3+GDfl/QmLZvfdhnNvV1b9IW7K+xMh7hpuy/0diY7CJtc3jg93V3Pbyd8R6yzBqNklrzGmIRE5N87G/8e4z3Dfif8zvL3u4uO/jGXzm96mft5EBEBB1xQ0j8pHfxrPtnf7Gd5etb2CZ9f/hiqb9/mhNyQYesNjVFFfynNf/IYaeyWvbfsnB4t3ePetn7s6SsflcfHa1n9y9PQehBA9nyQj3Viy/STDq9a3uNS08Zv9vJJXQPe/FLbRolP/8f1tS9tU8bCw+H+GthftLKVv3d6A4/rU72NeyUso6H76vmhk2o4yr+RV4lynWywJr6Jh0RzGe9NobiaWfeK3mJoCxLrPMLhqg7FtdgMVRRFsXJINur/Jtjqf/mMMbpext4oNx5dS76w9L7k4S9M1ah3VLN3/GodLdvmSlOb2qwOf7H8VXcrqC9HjSTLSjY2u+Cxg8S8FiHGdoXfdgYDbC3dXkeA8ZahIWf/anYZinFvyqqFxAJm2YwF7znhQGVK9iUAl0kxoDK/6AqvHFnC/E8uXYQpYysy7x+ln3g+4ve5i67v9UZRAH/QKtqoQDq7JCLg9j+Zhy8nPfEdDWqKjsadoE4qBe7ykOp/CSll5J0RPJ8lIN5boKAhY/Au81UgTnc33ATpXmu24oUREwfthrxqYv5PgPGVgi8aZ0LDoTkNxmnU30a7Ap5PSbMcNFVtTgCgD2+suSk9Eo/s9KuKlmjVOn4gJOK7eWYPdVW9o3x7N3XDsI7DS2sDPXSFE9ybJSDemKWaDH6I6GoFLk7tb0UdGx1v2PBAjYzqSZqAku2ZwdVDjxOCeQjXrBo6MeJsPm8yBk161g8rfq520VFsIETySjHRjeeFDDH04KkBexOCA4/LDs9F8U1dbpgMONQz8lP1vlBM5wvDRFiOJiweVOlOMobF1pmgqrMkBxx2INtY/B6A4tHUrdLqyvuNOGzoyontU+o47HXBcuDWSxIjUgOMUFMKtkSgGarIoKPSOHxhwnBCie5NkpBvbFTcnYDKioZIXPoiykMyA29NUKyfDhwYcpwC7YmcbinFt0pcCJjjeoywK+2KmBkwyTGhsTlgccG6JhsL2+AWGmtUdjxqLXQ0zdJRpVertBkZ1D6MX52AJ8eBv/o2iaiT3ryRr1JmA21MUhSn9FgYcp6Mzrf/lAeeWKIrKoJQxxIYnBtymEKJ7k2SkG6s3x7Ai9W6g+Y8TDRWXGsLStPsMb/O9zG/jUqwtfjzpQLU5jtXJtxjanqZaWZN8c4sxNl62NukGVqfcRo05zu+k3E0JV7AlYTEHoie1mIhpqJwO7c2WhMWGYgR4P+PbAWM8GD2Z0tDehrfZ1YVGurn+F5sb1jJfeMsVVcNk0bjhkU2Gq9tP6DOXvglDWpycqqAwIGk4MwdcycIhN7e4HVVRCbNEcNXIu4ztWAjRrUky0s3tjJ/PBxnfpNYcC3g/iBs/pIvC+vO/vr+iLCTwSohGdnM0z/T/M5WWZF8zuHP/FYX25+kBf21VFdbNiVexMuUOPA0Ff89tMufBxKqU29iYdC315hj+1/cRciJH+sY0Himxq+GsSrmN1cm3gqLyQca32JRwJa6GeS5aw4JgDZUDMVN4pfdPcamhhmM8ETWaN3s9hFMJvSBGHYUdsfN4v6HhX08y6vKT3PGXdcSmejtjK6rmm0eSll3J1/6zgsxh5Ya3Z1bN3DPlR0zoPdc3h6TxdIxJMTOxz3zumvQDTKqZWdlXc+2o+wi3Rp0zzvvc7ZMwmG/O/DVx4UntdVOFEF2YVGDtIRTdQ7/aPcQ7T6EpJvLCh1AamnVR20yyn2Ri2SeEeeqoNcfxReK11FoT2r5BTWNsxUr61O0DIDdiODvi5jc79yTGeZp+tXuw6A6qLYkcjRyDR71wgq3VU092zXbC3dU4TGEcixpLXUNi1lbZ1VsYWrUBk+6hJLQ3GxKvRmtm3z2JpsHxLamUHItBVXWyRp1pVRLSnHpnDQdP7aDeVUu4NZIhqeMIt0ZeMM6juTlcsovyutOYVDP9k4aTHJV+UfsWQnQN0pvmEqMrJo5HjeE4Y9ptm6Whvfk44xvttj0TbhzmCKoaJpU6TOGYcOPhvA96XSfKVU606wxW3QFAqFZPXTMJgdMUzr7YGe0WI8CR6Ikcib60ypCrKgycXMzAycXtts1waxTjegduRVBR5mHnOpWyehWzouLooxE/XcNs6joHbmsd1Szbv4SiqlwURaFPwmDmD7mRULPxo29CiJZJMiI6xdCqDVx26r+EafV4GpYZm/BwWfH/WJ52D/tjpgGQ4CjguoLHSXIU+MYpaMwpWcKOuHmsSr2j07ryio7l9mg8/+pa8iJeAIsHok2ATkGlm5Wv9OX6Yd9l7LjgT159Y/tT7CpY3+SyoqpcNpxYyqyBV7NwaMtzX4QQxsi7uuhwQ6vWc03hU745GCY8vutCtHquLnwKdJ3C8IHcmfMIIZr9gnGgM65iJWGeWj7I+BaGZ1SKLuupF5dRHPfyOTX4z66u0aLyeCvnYczmPzJyVHxQ4gNYsu0J9hRubPH6z49+gILCZUNv6sSohOh5us5xUNEjmTQnC0+90GLfl8b+OZcVv8Cc4lexavYWl+0q6Ayr3khWfeDS9qJr27unguL4l5t/UgCoHjA5eW+b8XYC7a2ivtRvItLo86Mf4HQ7OyEiIXouSUZEhxpSvZlQrd5vNRQFCNVsZNduD1je3oPK2PKV7Rqj6Hyrtq8HT4ADs6oHe+JGDh+q6pygzvPJvlcMjdPRWX3k3Q6ORoieTZIR0aHS7Cd8cz/80VBb7NZ7LhMaGbZj7RGaCKJyZS+YjK2MO3Ss/SbVtkZRVa7hsTllhzouECEuAZKMiG4ncMF60fX1sMdQ72G3R4hOJsmI6FDFoX1Qm0xEbZ6CZqD/sPc0TVFY/4sPTARVrDYs8GmaBgP7pnRwNM1LjTZepydL+ucIcVEkGREd6mD0ZJxqaMDeNC4llGORow31ptkRt6BdYxSdb+6Y6YFP02gmQsomMnRYbKfEdL7Fw4z2IVKYP/hLHRqLED2dJCOiQ7nVEFak3uVbNXO+xlU2K1PvYHXK7bhUa4sJiYbC4ajx5EYM68CIRWcYPSaBhLIboaWuwZoKmpmrRgWvMWFCZApDUscFHDet3yKsUvxMiIsiyYjocHtjZ/Fx2v24lBB0vP1oPJgajoiE8EnafeyOm0N5SDov9/k5VRZvoSvvONXXb2dvzExvQzupMdIjPHDH1aRV3gmayZt8eMy+UzdKfQpXp/8+6EXPbp/wXYamjm/x+sl9F3DFiDs6MSIheibpTSM6jUWzM7RqA6n2HACKQ/tyIGbqhQ3tdI2+dfvoX7sLi+btTbM3ZjrVVmma1hMVFdpY9vluKuwlmBQLgzOGMG9uH8zmrpN0Vtaf4dP9r1FcnYeiKGTFDWTRsFub7bUjhDhLetN0cVGuMvrU7cOsuaiyJpETMRxdCbwEtkW6Rlb9IRIcRXgUM/kRg6mwpjY7tG/NHoZWb8CkuykMG8D2uMuabVbX3lxqKMWhfX01R4pD+zbfWVdRyYkcSU7kyA6PqadzOVSObkinujSMkAgX2VNPERHnCHZYTaRnhHHvbZMNjd2/r4IDRwvRdI1+mamMG5+Eql6YtNQ6qjl6ejcOt53o0Diyk0dhNlnaHGNseCK3TjDWtbmy/gzHS/fj0lwkRCTTP2k4qnLh68vhtnOkZDd1zmrCLJEMShlFqCX8gnGaBjnbUjhzMgqTRaPf+BLiM+vafFvA28TwSMke7O56okJiyU4ZhcXUs5tBiq5NkpFOFuGuZOGp/zKwZjsqum/ORI05lnVJN7A7bk6rt5ldvZW5Ja8S5zrdpNJpTsRwlqXd60tK+tbs4prCJwnT6gHvfI1h1RuZV/IqGxOvZF1yx5W0zqg/yoLiF0iz5/rmjih4V9ssT72bwvDsDtv3pUjTYN0LQ/n8haHYa6w0zs5RzRpjrjjBlT/cQUhE9znKuGd3Oe9sfxFnwlbvyWUddp+CD14axPw+X2bWrEwA7K56Ptz7IrsLNqDpZ1dxhVkimDXwamYMuAKlg07zVdnKeX/3fzlcsrPhle0VHRrHZUNuYmzWTMDbpXjFwbfYmLMcl+dsYmhRrUzsM5eFQ2/xJU57lmWx9B+jqTwViW+GlaIzcMoprv3pVuLSW5eUOFw2Pt73Mjvy1zW5f0LN4cwYcAWzsq9uNnESoqPJaZpOFO6u4p6cnxPpqrig0mhjErEm+SY2Jl5jeJsjKj/nyqJnmy237kHFqYbxv36/Js5RzE35f4JmxjU+AbbHzWdF2r2tuEXG9Ko7yC15j6HqngsKm2ko6Kgs6f0weRFD233flyJdh/cfncCWtwbQXL11RdVIG1TBV/+9EmtY4GXXwbZrZxlvHHsYzA5vmfhzaQqgMDvqt8yalcwzX/yakpoCdL35heJT+l7GlSPuaveEpNpWwVNrf06towqthX0vHn4HU/st5JUtf+dg8Q6am9KtoNA/aTh3T/4B298dxHu/nQTNvLpVk0ZYtJNvvrzMcELidDt4bv1vKarMRW9hIf24rNlcP/orHZawiUuP0dM0kgJ3orklrxLVTCICZ99qZp9+g3hHkaHthblruLzo3y32fTGhYdVsLCr6N9cWPN5kP83te1zFSmKcpw3t2yhF17i68MlmExGgYWqqxtWFT6G08CYuWufYplS2vDWQlhq/6JrKqcNxrH2h6yd/mqbz9p4nm09EAFQdFJ01ZX9g+f53KaluOREB2JizvEOqpX687yW/iQjAJ/te5otjn3KweDstFX3T0TlWupd1+9bz/qMTGi698HHUPCq2aivv/77lybXnW3fsI4oqc1pMRAC2563h6Ok9hrcpRHuRZKSThLlrGFq1scUmcI00VMZWGOu9MqpyDQqa374vJjT61B8gRLcH7A8DMK/4ZUP7Nqp/7U6i3RV+S72r6ES5KxhQu6Nd932p2rgkG9Xk/3mmayqb3hiI29W13wI2bS7BE3u4+USkkaJDaBVbTq70+0ELoCoqG08sb9cYa+yV7Du11W8iAqAoKuuOfYTi95Xo9cXR5U1O9TRH86gcWZ9OeWFEwO15NDebclYG3KaqqGw4sSzg9oRob137nagHybAdxWSgEqmKRt9aY99MetftN1QaXcd48e0M21GDI43pXXfAUG8aDyZ610k33vZwfEsqmifwS7u+MpTSnOhOiKjt9h8/ZqxSq6biIfDEXE3XOF66rx0iOyu3/LDfozGNdF2jzlkdMCEAqDfnQmh54J3rCjnbkwMOO1NbTJ2zOuA4Tdc4cUZeh6LzSTLSSUy68bkuRseadZeB71jGKYDazqdKOuJ2C/80t/FnhaeLHxnx6G5aOt10cdtsx+111Dw2k9PAIN3QY9iaGM+d2CpEZ+na70Q9SHkLy2zPp6FSFpJhaOyZkHQ8Bh5CBWNv5zpQY4k3tG+jyq1pKAa6ziholFvT2nXfl6qErBrvqYsAVJNGfEbLE8q6gpSYVFBdBkYqBg//KSRGtO/zzOj2VEVFNbh8X/WEo9gTDIxUSOxdE3BUbHiiwVUyCvHhwekFJC5tkox0ktLQLIpC+wWY4eE9TbMzbp6hbe6KndvsZNhz6UC1OQ6NwO/VCrAu6XpD+zZqf8w0NANvwDoq+2Kmt+u+L1WTbjwWcIxq0hg2L5/wWCPfvoNnwdwB4DRQWEzR6B0zysAHrs7kvvPbJbZGGbF9SYnuFXAuiKZrDE+fiBLgbVdVVIbFLkR3BSgxr+jEZ9bQd1zgSefh1kiGp08ylJC09/0jhBGSjHSiNck3Ay0nBRoqBWEDOR452tD2SsL6cihqgt8ERwFWp9zKnthZft8qdaDSnMjR6Al+RrWezRzFpoSr/I7RgU2JV2EzR7Xrvi9VY686QUJmbYuTWBVVQzVrzLm/fedOdITISDND+ar/QbpCcsWtXDX2JhRFbTEpUBWVxMg0RmVOa9cYFUVh0dBb/M4FURSVvglDWDzsdsKtkSgtJAUKKiHmMBZNnsPgGQUoaktfNnTQFRZ9Z5fh7ghzsq/FpJr93j9x4Ym+eihCdCZJRjrRycjhvJf5IG7Fgn7O1NPGUy0F4dm8mfVD9FYUHfow45sciRrfZDvgrd+hobI09V4OxEzj0/Svcihq/AWTWRt/rjYn8O9+v2/7jfNjXdL1bEq4oiGuszE2xrsl/nLWJknX0/YSEuHmvmdXkdjbO2FRaUxKFO+jHxLh5t4nV5M6oCp4QbbCbTeMpV/tt7xN9bRzjrI1TGxNLL+Rb95+Oekxfbhn8o8uaFrX+MGfFJXBV6b+FKs5pN1jHJQympvHfeuCD/vGIxH9EoZw56TvEx0Wx/3Tf0Z0aJw3toaxjf+PCInmK9N+Slx4Arf8YT2DpnmX+Z9NLHUUVUc161z/i00Mn59vOMaU6EzunfIwIQ1VXn37bogxISKV+6f9rNkqsEJ0NCl6FgShnlpGVK5lQM1OLLqDCksqu+Nmkxc+pM1N4NJsxxld8RmJjgI8ipmTEcPYFTuHOktck3EpthPMK36FFMdJFF2jxpLAhsRr2B/b8adI4hzFjKlYSbrtOABFYf3ZFTeP8hCZK9IRNI/CkfVpbP+gH1Ul4YRGORkxP5+Ri04SEt79Xke5ObV8um4rp1370BUPcUo28ydMYdjwps9xh8vGroL17D+1DburntjwBMZlzWJg8sgOry5a56hhe94ajpzeg8vjIDEijQl95tI7PrtJITG35ubAqa3syt9AraOKiJAoRmVMZXj6xCZl63Ud8vcmsPWdAZzOicZs0RgwuZjx1x0nKsHephidbju7Czeyr2gLNmcdMWHxjO01g0GpY6T6qmh3RoueSTLSg0S6yolzlqApJk6HZjXf96U1dI0U+0lCtHrqzDGUWTNaTJaGVK4n03YEhxrBpsTFOE3SQEy0P7urnuLqfHRdIykqnciQmE7bd85hjX276lAVlbGTw0nLurhVPh6PxsZdBzhTXU5cZCzTxw7HZJJkQPQs0ijvEpJiy2FG6VsMqN3lO0DsVELYHTeHL5Kux24KXBSpCV1jfPlyJpZ9Qoy7zHfx6ZBebEi8hoMxU3yXLSx6ntGVa5oUNZta9j7V5gT+2+c32Kyd92Eheq5qewWrDr3NzvwvcGve1TWKojIsbQLzB99AclR6h+1721oXH2z5EHe/9yHU+2Vo/dYQQpbczK2XLyB7ROsSCI9H4/mPXuekZxmYGlYKVcOyfDOZyny+dvXtkpSIS44cGenmetft56a8P6Lq2gXVXTVUKqwpvNTnl8Ynh+oaVxX9i2FV64GmS4I1FFR0Pk+6gQ1J13Fr7m/pXX/wgnHgnYuiofL4gMexWWPbdNuEAG8X3KfX/Yq6Zsqtq4qKWbVy//SfkRHbt933veZTO8urvweWejCd997jMUN9ErcOfowR441/r3v09d9TG7rvwpYzDb+H2gfy0xt+IQmJ6BGkN80lwKLZ+VL+3xr6vlw4615FI85ZwmXF/zW8zVGVnzO8an2ztUkaj37MKn2LqaffaTERabxMRePLOT81vG8hmvPGjqebTUTAu1zWpTl5efNf8WjtW6zL6YDlpx8Ba92FiQh4LwsvZcnmfxne5pJly7yJCFz4wmn43R56lJc+/aBtQQvRTUky0o0Nq9qAVbMF6PuiMbh6K5GuisAb1HUmlH0asBaKB5WpZ7xvloH63UR5KolwGihrLUQziqvzyC075Lfvi65rVNnLOVyys133/dbL5RCb578vjsmNnrmRz5cGLkUPsK/6g8AFf3Q4av/EeKBC9ACSjHRjA2u2oxuoraqg0a92d8Bx0e4ykpyFfpMb8DbfM2OsFL0CTD/zroGRQlzoUPHOFmtynEtVVA4Wt2+jxWNl2wz2xTGxZU/gTsC1dXY0S2XgcsgK6JY6ikokiReXDklGurEQj/+jIo10FKxa4GWAVo/xpYKtWUcQ6qlrxWghznK6HYa63Oq6jtPdtqWuLfGo9YbK6qOruHVbwGGV1XWteuFU1dQbHyxENyfJSDdWZUk01JtGRafaErjPRa0lNuApmkat6QRcEtrb4EghmooOizfUEVdRFGLC2revUognxVtoLeDOPURaEgMOS06MNf6i0SE92UhvGiF6BklGurE9sTMD9qYBsKnhhkrM202RHIscEzDB0VCpMcX5HQNnE5ZN8VcGHCtEc0ZmTDLUXE7TtXYvYz57/LjmJ66eTzdxzdX9Aw6zWkyEOQYamjNicWQREx1mLFAhegBJRrqxkxHDGprv+X8YNyZejUe1+B1z7lgFf/1zFFyqlXcyHwQ/48B7RPpY5GgwGetUKsT5wq1RTO67AH/nNxRFZXDKGFKjs9p131PnWTEdv7JpCfrz6QrhR79M1gBjRxQvH3ZHw9+1tD3v/xYMuN14oEL0AJKMdGeKwptZP6A0JBOgySmWxqMbW+MXsjnB+JGJovCBvJ/5bTRMTZIcvWH7TjWU17Me5lRENh+lftV3XXP9bk5bM3gr64dtuWVC+CwadisjMyYDNJnM2tj9tnfcQG4e960O2fd3b78FpaChsV4zfXHMx67noW8bb6UwfvgAJkTd7/3l/ISk4feRYXcxfdzwNkYsRPckRc96AJPmYkj1JsZWrCDBUYSmmMmJGM6O+AUUhA9q0zZjnKcZW7GSoVUbfeXg98TOYnfsbOrNZ6uqxjpOcW3B46Q6Tvous6vhrE+8lq2JV1z0bRMCvBNUj5XuY1POcnLLjqCjkxadxeR+CxiaOh6T2nFH32z1Om+9XMohx3voSXtAVzAVT2Zk/JVcf0c0JlPry8IfOXGK97YtodKyCxQ36CaiXSO4esytDB2Y2f43Qoggkd40waJrhHlqAQWbKdJv47sQTz1m3YnNFImmdM3K/OHuKiJcFVRZknCaWy4rr+puwjy1uBQrTpOfrp+++4eG+6frHZzTdbDXWHC7TITHODCZL/4l4rSplOVHERblJDat5ZUXug71lSHoOoTHOlDb4e6x2zyUlzuJirIQFd3y80zTNeqdNaiKSpglskljtybjNJ3KCidOp058ghWrtes9hgClNaeotJWSFtWbyLCW2xK4nSr1VVZCwt2ERLT8/uL2aJSVOlFVhYREK6ra8mvb5qrD7XERbo3EpHbea1vXdWyuWjyaRkRIlN/Gdw63HYfbRpglAovJ2mkxtobL48TmqiPUHHZBN+ZzeTQP9c5aTKqJMEtEi89d0fk6tDdNWloq8fHx5OXlU1NTY+hvkpKSSE9PJy/vJBUVlW3ZbZcW4qljXPlyxpWvINLjbc1eZU5ge/wCdsQvONu0TtcYVrWB8eXLSLefAMCpWNkbO5MtCYuptKYE6yY0MaX0fSaWfUKYVuubQ1JlTmBt8o3sj53hGxfnKGZi+SeMqFyLRff22SgMG8DW+EUcjJ7sS8asnnrGVqxkXPlyot3eAmw15ji2xy1ge/wC/wlMJ/G4FLa935+Nr2Vz+kQsAKGRTiZcf4xptx8mOjnw8s3zndiWxId/mEDJsRga5z1YQt2MuSKHKx/eirnhFei0mdj0RjYbl2RTVexN+iITbEy+6ShTbj1MWJSr1fves7ucZds+oyLuI18PlNAz05ja+wrmzz+7wqnOUcOGE0vZnLuKeqf39RwfnsyUfguZ2Geu74PK7dZ578P97Kl6H3fcAe8fO6JIr7+eq+dMJ6t38B9DgFe2/J0Dp7ajnzO522oKYf7gG5g+YLHvsuJjMXzx0mB2f9oHj8t7ZKXP2BKm33GYIbMLfN8jys44eGfpVnJMb0F4KQBKTS8Gmb/E9VeOITLS+yBqusau/C/YcGIZRVW5vv2Oy5rF9AGLiQtP6rDb7PI42Zr7GRtyllNeVwJAuDWSiX3mMbXfIiJDon1jD5fs4ovjn3C8dD8AJsXE8IzJzOi/mPTYPh0WY2vkVxzni2Mfs+/UVt9qquzkUUzvv5gByWdPYVXbK9hwfClbcj/D7vYuhU6KTGdqv4WM7z27UxNBcXFadWRk0qRJPPKrXxAbG0tNbS39+vbj9Tfe4Gc/+zma1vyqDkVReOyxR7nxhhs4efIkvXv35plnn+MPf/ij4SC7+pGRCHcld+T8mljXaZRzypB551IonAnJ5JU+P8OuhnNV0b8YXrXe1+elkQcVj2JhSe+HKQzPDsrtaHRL7u/pW7+v2dYZANviLmNl2t30qjvIzXl/RNXdTVb1NN62XTGz+DT9K4R5arkj9zfEO081e/+UW9N4pc/Pmpz+6Wxup8pL353J0Y1p3ht9zpJORdUIi3Zy//OrSOlfZXibW97uz3u/ndi4lXOu8d6zsWm1fP+9j3DZTTx3/3xKjsai6+eO1VFUnbj0Or76nxVEJxmvo7FseQ6f1/7K+8u5K0I0E6gesqrv5+t3zqaivpRn1/2aakfleUtovTH0iuvPl6f+H4rHwp9eepG6xJWgq6CeM9ZjAlcUNw/+NaNGBW85qsfj4Q8rHqDW0fJjNDJ9MrdMeIDD69J5+aEZ6JqC5jlnHoqqoWsq0+44yOLv76Qgv45nPv8dWmR+09usK95VL5Uj+d613yMqRuX17U+yr2gzCgr6Oa9tVVGxmEK4b+r/kRkXeNVNaznddv6z4THyKo41Bnf29igqUSExfHX6L4iPSGbFwTdZfeQ9FEVt8ng3HkG5ZfwDDE+fSDDtzF/HWzueQVGUJpV3G2NeNPQWZg68itM1hTz3xW+pd9U2u/x7QNJw7pz0UJc96nOp6JDTNNdffx17du/h2PHjAAwaNIiln37Mjx/+P954481m/+aeu+/mxz/+IVdddQ3Hjh9n3LixvP3Wm3zjm9/i00+XGtpvV09G7sx5hHTbsWb7w4B3KeyJyJHkhw9m9uklLa4LaJwg+tTAf+BobafddjLj9BtMP/N+i9c3Plk+Svsal5X8D4vmaLHwmg6sSrmD/rU76V130O/9kxc+mNf6BK+Pzcd/HsuGVweht1BXQjFpRCfaeOjDDzFbAi+nrigK509XXNP41y2M0hkw+RRmq8bh9enonuYPqasmjYxhZXz9hRX+zvr5HDtaw3/2PgCq22/RrsmmX3Ii/N+cqS1qsdy6gsrIzCmU7x9MfvR/Wt6eZkKxJfDTa/5MeERwVk89t+635JQfDDju6v4/4JP7HsPtUv3WEbnuVxv4qPybuGL2t7zEVzMRVbaAiTMiWHXo7Ra3paAQaongRwv+ToilfZfsvrnjX+zKX9/kSNC5VEUlISKVeYOvZ8m2J/xuS1VMfHfuH0iMTGvXGI0qqsrlyTU/a5LMNeeuiQ/xwd4XqLJXtFiHRkFhct8FXDXy7o4IVRjUIY3y3nnnXV8iAnD48GHKystJTU1t8W9uueUmPvroY9/fbd++gy++WM8tt9zcml13WWm242TajrT4QQve/jADancx+cyHfkuKqeiEaHZGVK5r/0ANmlC2LOByXYC5p1/zm4g0mnLmA/rW7Q94//SpP0CSPa/1AbcDe42FzW8NaDERAdA9KlUlERz4zNjkwk/+MrbhJ//de45tSuPQ2swWExEAzaOSvyeJgv3Gjjp8un4DKJr/6qGaytbKFzldU+C/7wsaewo2kB/2mv/tqR70iNMsXXnEUIztzePxGEpEAJYe/h8et+K/oJmis+K9Wlzxu/3XGlE91CQuY90R/71kdLxzOXYVrDcUo1E19kp2FbSciID39FFpbRErDr5loJqtzsacFe0aY2tsOL404HwPRVFZevB1Km1lfgvi6ehsOfkZNpdUgO4OWj3zLCw0lIkTJjBr1iz+9Mc/YLPZeP31N5rfuKoyePBg9uzd2+TyXbt2MXxYy0vXrFYrkZGRvn8REcE5SmDEkKpNhqqgaiiEaUZeFDrDqr64+MDaIMl+khDdbqR1BuGeapQAiYgCRHiqA9ZBAe9pqiHVmwzH2p4OfZGO2xH43LKiauxZZqya7JGNRr9ZKoZKjqsmjT1Lje37VMgn/pu7AaganqgcY6XWAawGSpNrKvvPrDUUY3vblrfG8FinqRRdC/Cc1BVq0z8w1ptGV3BqRuYTKewu2GAoRqP2n9qKrgd+/igolNUVBzzi0DjvJRh0XWd34Ua/ybF3nMbpmgJDz12P5uZQO/csEh2j1bN7EpOS+MlPHiY6OobMzAz+9re/U1JS0uzYyMhIrFYrFRVNO8ZWVFQQGxvb4j4e+Pa3eOih77c2tKBoXBkSiO63lNhZ3g96Y5OC21uss9Tw2Pafq64Q7g7O7a6vDEFRdL9HRgB0TaW2rOUZ/efyOE0YvZeMPTOgvsrgue+QSmPjIOCHk3eQsYQJVcNlCk5zt7K6U+2/0bBy7xGmgIy+GnRqndUXE9EF6p21qIqKpvtPPg09zg3sruD0xHFrLjytOA1v5DYpKNQ7jb1Hi+BqdTKSn5/Ptdd9CYDBgwfzzttvouk6zzzz7AVjXS7vDP6QkJAml4eGhuJyOVvcx+NPPMkzzz7n+z0iIoKdO7a1NtROUW+OMjQu0FGERjpQbzK2zfZWaTU+27/x1rRfUqIbvi/bW0SsI2AiAt4jI5EJxiaRmqweNJuCkXvI6MdERKyxNvU4YiH8jMGtqhCopYCRRARAU7F4gjOBNTEivf03Wp/gnawbsOWC0UdQIdIaHXhYK4RbowIeSfDuWTGckIRagrMqyqxaMKsW3JqxlWNGbpOOTrg1sj3CEx3sogoEHDp0iDVrPmfunNnNXm+z2SgvLyftvDklqampFBYWtbhdp9NJbW2t719dXdc953cweoqh/jAqOvUmIy8Khf0xxis6tqfS0N7Y1TAjrTOoM0UT6INWB2pN0X7nizQyoXmXAgfBoBmFmEMCfyPTNZVRl+ca2mb2VKPf1HVDzdg0j8rIRScDjgNId1zhv4Q5gKZiqu5H4A9a75s+TgMfUKrG8KT27Q9j1LisWYbHWj1JKGrgBCzy1NXGetMoOiGqkQ9wndG92ve1PSxtPKqBWc06OgkRqQFPbaiKypheM/yO6SiKojAqc6rf2ijecSop0b0MJVdm1cLg1LEBx4nga1UyEhZ24Szw3r17N6kbkpGeztixY3y/r127jgUL5p/doaoyb9481q4L3iTN9lQc1pe8sEF+541oqByNHMOmhKv8vnw0FOxqOHtjg/NmALAtfqHft6vG+Fcl345TDfXb5VcBNiZeQ07EcL/zRjRUciKGURravr1FjAqNdDP5xqMofo4AKCaN2NQ6hs4uMLTNKx7a3vCTv0dcZ+DUIobMyvf74aiaNLJGnSZzmLFTIJdPn+JNRvwlOarGxIS7SInu5ffNX0FhdOZUsuy3+9+eZkKpS2Hh/AGGYmxvJpOJfglDDY29fPA93kJ2/o746AqXXRuBpXy0/3kjmonossuZkb245TF4VyWFWyMZlTnVUIxGRYXGMrrXdL9JhqqoJEdlcNmQmwJ+gDeuQAmWqf0WBv4ypGssHHIzseFJAZ+7E/vMI8zSdeccirNalYy8/dabfPtb32TOnNlcfvkinn32X2RnD+TJp572jbnllpt55eWXfL//7e//YOjQofzhD79nwYL5PPXUE0RGRjR7Wqe7erfXd6i0pqCddzKmsY5GaUgmH2V8g80Ji9kb4000zv8Q11BxqSG8kfXDoC3rBViXfCPHI0YCLbbOYGvcIg7ETeeNrB/iVqwXJBqNt21n7By2xS/k/YxvUxaS3uz9o6FQZk3j/YwHOuT2GHXZg7sZOK0I0C9IShRVIzzGwT1PrsZkMXaoOzbNxvW/3NzwW/P3ZFxGLXf+43Nu+M0m0rIrvftVmt5DiqoTl1HL7X82Pqmw/4AoZkf/EjTzhR+kHu8Rk97VX+OqxQO5a9JDRIfG+fq8nC8rfiDXjLqXL980g6gzl3kvPH/yp2YCRwy3DP854eHBKzJ175SHiQqN9TtmVMY0Jg0bzR1/XYvJrKGamiaBjUnhjLsPMO7qXL664NuodZne29zkofGuxrFUjuQbX7qR2dnXMKKxf855r21VUQkxh3LvlIcJ8VNFtK2uHnEPveObr02koBIVGsfdk3/IiIxJzBt0vS+m82NUFRO3TniQxMiWV0d2tLSY3tw49usoitpsjACXD7uNwaljuHfyjwi3RjXpVwRn7/8BScNZNPSWzglcXLRW1RmJiYnh3nvvYcyY0bhdbg4fOcKLL75EcXGxb8wtN9/MlVdewR133uW7bPDgwXztq/eTnpFOTk4OTz31L/LyjC/j7Op1RsBb2n3MeRVGKy2JbI+/jJ1x886pwKozpHoT48uXkmnzFilyKqHsjpvF1vhFVFmTg3UTmph45iMmlX1EhKfGN8Gy0pLE50k3cTD27Le7WGcJE8qWMrJyDVbdOw8oPyybbQmLOBQ10VeB1aLZGVvuvX9i3GUAVJnjG+6f+ThNwW+X7nEr7PywL+tfHUTJsTgAwqIdTPzSMabcerhVRcca5e5M5MM/jOfU4TgaT2tZw1yMvfoEV/5ou6/cu9NmYstbA9n4ejYVhd7TeVFJ9Uy5+QiTbzpKaBsqsO7bW8GyrWsoi/kAzE7QFcLKZjC17+XMm3v2KFS9s4aNJ5azKWcldQ0TLBMjUpnSbyETes/BbPJ2fHa7dd7/+CB7yj/EFb/H+8f2GDLt13PVnCn0yuoa30CXbH2Cfac2N5lLEWIKY8GQG5jaf5HvspLj0Wx4dTA7P+qL2+lN0vpNKGba7YcZMqvQN66i3Mk7S7dxgrfRI7zvdWpVXwaHXsf1V4z21VXRdI3dBRvYcGIZhZXe6soh5jDG957NtH6LiA1P7LDb7Pa42HpyNRtzlnOm1nuKMMIaxaS+C5jS9zIiQs7Oxzpyeg/rj3/K0dPex9CkmhmVMYVp/ReTFhOco5PnK6g4wfrjn7K3aDOa7kFBYVDKGKb1X0T/pGG+cTX2SjaeWM7m3FXYXN6JqilRmUztt5CxWbM6tGeRMEZ60wSLrhOq1UHDKRd/Vaosmh2z5sRuikBXuuaLJtRdS4S7kiprIm615W91iu4h1FOHW7WeTbyao+uEat7Z+oHun2Cy15rxuEyERTtRTe3Qm8auUlEUQXi0i6jElpOaxr44uq4QFu1sl7vH6fBQUeEiItLsK13eHE3XsLvqUBSVUHO433oP1VUuHA6NuHgrZnPXfAwr6s9QaSsjNSqDMD+TGD0uBVuNFWuYG2tYy6tS3B6NqgoXqqoQE2vx25vG4bbj9rgItYR36geirus43DY03UOoJcLvaQyXx4nDbSfUEo65i5ZNd3tc2N31hJjD/FZSbXzuqoopaBNwRfM6tDeN8ENRsAeYqJpqO8G48uUMqN2JWXNRaU1iV9w89sZM7xI9Ws5lN0diNweeeKsrJmxmAysFFAV7EE9DGRUa6QYuPvF11JnZ8VFftrw1kIrCCMwhHgbNKGLKzUeazAHRNDjyRTobl2STvzcRXYf0wRVMvvkIQ+cUXFSzPmuIiZTUlj8Q3S6VfSt7sWlJNiXHY1FUnT5jTjP55qMMnHKqSUJ0clciG1/P5uiGNDxulYReNUy+6SijLs9t8kFeeSqczW8OZNcnfaivthIe42TMlTlM/NIxYlPPLh11uu3szP+CzbmrKK8rwaRayE4ZxZS+C8iKH+gbp+twZH0aG1/PJm93ErqmkDqwgsk3H2X4vLxmT5/FhScS5+doRH2llW3v9Wfru/2pLg3DGuZm+Px8Jt90tNmy/2aTSkJiSDNbulCIObRDTskEoiiK4Q9ji8nq9wPe5qxje97nbD35GVW2ciymEIamjWdy3wWddgTFbLIQaQrcJkJVVMKtwVmNJ9qHHBnpZFNL32NW6Zt4UH2rcBofgGpzAq/2+WmXaZYnLk55QQTPf3UelQ2N7xongKomDc2jMv8be5j71X24XSqv/WgaB9f0QjFpvmqsjX1S+o4v5u5/fu73W3tb2Wos/PebcyjYl+jb37kxjro8hxt+vQnVpLP0H6NZ97+hvuu8QeqgQ2LvGu57ZhUxKTYOrUvnlR/MQHMrTYqLKaqGyaJxx1/XkT31FJX1Z3h+/aOU1zetU+Stm6Exe+A1LBhyI5pb5Y2fTWXv8t7N3j9Zo0q554nVDQmkMUWHY/nP1+diqwpp0g9INWnomsLVP9nKpBuO+d1GT1ZSXcC/NzxKraOacyfLND42Vwy/k2nnnPISoiUdUg5eXJzhleuYVert4XPucuDGahSR7gpuPfl7zFrLNVhE9+ByqPz76/OoPh3um+zYqPGDfOXTI9n+QV8++sM4Dn3uLTN/bln4xg/y3B3JvPnzKR0S56s/nE7hgfgm+zs3xt1L+7DiyVFsfC2bdf8b2uQ67x95n73lBZH895tzKDwUyysPzcDjUi+ocqprKm6niZe+O5NTJ8L5z8bHqLRdWGivca7HmqPvsyV3FUv/MYa9K7zfxJu7f/L3JrDk4WmGb3N9pdWbiFRbG+rLNH1sdF3h/d9N5PAXwenPEmx2Vz3/3vAodc4azp983fjYfLzvJfYXbQ1CdKKnkmSks+g600vf8btszYRGrKuUwdWb/YwS3cG+FVlUFEY2/eC+gM7Kp0ey9d3+/vviaCr7V2Vx5mT7HoYu2B/P8c1p/kuj6wobXh3EZ8+13L4BvB/ip0/E8ulfx6Jrfvq+6Aq6pvDpR/mcqT0VsGDXqkPvseGNfn6XFeuaypH1GZw6Eut3W422vd/fe0TEz+1WVI3Vz/u/zT3Vjvx11Dqq/fZ9UVBYfeS9zgtK9HiSjHSSDNsx4lynA9bj1FAYVbmmM0ISHWjbe/0DF9ZCoao4wlDRM9WksePDvu0TXIMdH/a9YGlrc9xOlfpKA/MfFI2cbSkBEjBv4nLM/UmLy4nPVeusQO8VuN+NatLYafD+2fpOfwK1c9E1lbzdSZTlX3rVO7edXEOgqrI6OkVVuZRUG6u7I0Qgkox0kki3sYJVKjrRLqOlvEVXVVkcEbgZWwNFNTZtq6qkfSc3V58OR9OMlME3OK1MVw2V1QcgKs9vp9km+4/ND7xrHapOG7t/qkvDMNrIoPp08Jecd7Yqm/H+QtX24PQiEj2PJCOdxO9y1/M41UvvDbCnCYkwXhfEQNNVUCAkon0nb4eEuw0lGoYTjFY0Y8MReIWEb6v2wEcnFAWsYcbuH6PjAKzh3XvCfFuEmI2tGAKwBmHFkOiZJBnpJHnhg3EqgV/kGgqHoid2QkSiIw2f57/EeyNziMvQERTNrTLEYCl6o4bMLmgyIbRFuoJqNrCSR4H4zJqAt1tRNRLq5htqAW9SLHD8soDjNI/K0DnG7p/h8/MNnJ7SiU6uJy270tA2e5Lh6RMvqGranAhrFJmx/TohInEpkGSkk7jVEHbGzfPby8VbPl5ld+yczgtMdIjx1x3zFkvz1+9G1Zh84zEyh5/x++GomjQSetXQf2Jxi2PaYsisAqIS6wP2xRkw+RRjrszxn2QoOpYQD3O/tjdgcqVrKvMmj8MUoNCWoqiM7z2LvsPtfu8fRdWISalj0PSWm2+ea/JNR72TbP3uHKbedrhdCt51N5P6zA94uE5BYUq/hQEfQyGMkmSkE61NvpHCsIHNJiQaKjoqH2R+i1pLXBCiE+0pOsnOzY9uQFH0Zj/EFVWn14gy5n9zD7f+YT3hsY5mP3BVk4Y13MUdf1vrKx3fXkwWnTv/vhZLqKfFfUcn13PDrzdyxUM7SB1Q2cJt8fZ4uf3P6xhzRS5TbzvUcMV5H2gNv8+4+wCjZ9Vx24QHURVTs9/CFRTSY3qzaNit3PS7DUQl2lq+f8Lc3Pn3tYYTh5T+VVz9f1t9sTflTSAHzyhk2u2HDG2vp0mITOX6MfcDNDvJWEFhQNJwZg68qrNDEz2YFD3rZCbNydQzHzC2YiXhnhrf5TkRw/gi8XoKIgYHMTrR3nJ3JvHZM8M5tvlszYrwGDuTbz7KrHsPYAn1nv6oPh3GqmdGNOmTopo1Ri7MZf7X9xKfWddhMZ7OiWbVv0awb2Uv31ENS6ibcdecYO5X9xIZ7wDAUW9m9XPD2PLWQOy1DZU7FZ1B04uY97W9voqyug47PujH5y8M4Uzu2bkhSX2rmHXvAe9RloZ8PK/8KKsOv+PrkwIQZolgUp/5zM6+2jcnoaYslM+eGc6OD/rhcni/jasmjeEL8pj/9b0k9j77WjLq8BdpfPbccPL3JPkui06uZ+pth5l2+6GLqnrbExw7vY/PDr9Dbvlh32WRITFM7beQGQOukKMiwhDpTdPFqbqbZHseZs1JtTWRakvHNdESwVd5KpyKUxFYQjykZlditjR/2sFeY+H0iRh0HZL6VBMe23kF8GrLQyjLi0JRdVIGVBHSwuRNl0Ol+GgcHpdKXEYtMcm2ZsfpOpw+EUN9pZXwWAfJ/apb7LVTZSujov4MZtVManSWrznf+Rx1ZkqOx6BrCom9a4iIc7Tptp6rLD+S6tNhWMPdpGVXXpKnZvwprztNlb0cqymE1OgsaT4nWkV603RxmmKmOEwmf/V0uq5z/Mx+thWuoay2GIvJyqDcMYzLmkVkSNNePkc3pLLsiVGcORmNrkN8Rh3zvr6H4fOaTsy0uerYkbeOg8XbsbvqiQtPYlzWLLJTRvltjBZIZLzDdxSkJUWHYvnkr2MpPBCP5lGJTLAx7Y5DTL7paJPTSC6Pk72Fm9l9eiN1jioinDGMtk5lePrEJv1QdF0np+wgW0+u4UxNEWaTlUEpoxiXNZuo0KYrbo6X7mfZgSWcrilEB+LKE5mTfS2jMqc2GWevsbDz477s/ywTe62F2NR6xl19gkEzippNNBJ61ZLQq+U3ydaoLQ9h27v9ObIhDZfdTGLvasZfd5x+40931Z6QAcVHJBMf4b+beHF1PltyP6Og4jiKAlnx2UzsPZekqPQOjU3XdfIrjrEl9zNO1xRgUs30TxrGhN5ziAlL6NB9i/YlR0aE6CA2Zx0vbf4LueWHfT09wHvOXVVN3DDm64zKnIKmwTP3Lmg4XaBztgaG9+ekfpU88NpSzFaNwyW7eHXrP3F5nDQupVUUFV3XSIvO4p4pPyYqNLZDbs9bv5jEjg/PTaAVX4zhMXYefPMTopPsnKo6yX83/oFaRxUKCjq67/9RoXHcO+XHpEb3wu6q5+Utf+fEmf0X3D+KonL96K8wNmsmmqbx7w2PklN2sNm44iNSeHD2o1jNoRzblMLLD83EaWv4nqUrvn42yf0ruffJ1cSkNH8k52Lt/LgP7/xqEpqm4r0piq+PT9/xxdz513WERhlf8t0daLrGh3teZHPuiiaPYePPMwdcycKht/jtAN1WLo+TJdue4GDx9vOePyqgc8WIO5nab2G771e0jvSmESKINF3jf5v+xMmKo77fG+noeDQ3b2x/kiOn9/Dfb845Z97CuW/a3p9LT8Tw9N0LyCs/ykub/9okEQF8ZbtLarzNzbzXt69P/jqaHR/2Pycu5Zyfob4qhH/cuJjyujKeX/876hw1vtt67v9rHVU8v/63VNWX89Lmv/oSjPPvH0338NbOZzh4ajsvb/lbi4kIQHldCU9+/gsKD8bxvwdn47KZmvQDaly+fCY3mue/Og+nrf1PMxxal86bP5+Cx602rNTx7ruxGm3ujmRe/O5MNGN13rqNZQeWsDl3BdD0MWz8ee2xjzqsbPzr25/kUPGOC/ato6Gj89HeF9mZv65D9i3anyQjQnSAIyW7yKs46re/B8Cne97k+ObUAFtTOHUono+3v4+uexeAN0fTNU7XFLK3sH17G2kabHh1ME2P2lwYo60qlLeXbsThtrVYXVXXNWyuej498Ao5ZQcD3j+f7H+VQyU7AsZYWlvIh0vq0TUFXW/+bU3zqJTlRbHrkz4Bt9caug7L/jm64Z5p/v7RNZXcHSkGHuvuo8ZeyfrjnwYct+bI+9hc7TsBu7AyhwOntvmS3JYsPfB6wP5HomuQZESIDrA5d1XAwlE6OiV1JyBld+ANxuSRX78zYAl1BcX3TbW9bHp9YMM3/ACH2lUnOdqHAd/8dV1jX9FWQ/NbyuqM11bJS/h7wL44KLDpjWzD2zSi8EA8JcdiA1aqVU0aW94a0K77DqYd+esakmP/3Jqb3QUb2nXfW09+Zuj5U2OvaLJSS3RdkowI0QFKa4oCfuv3STgSeEz8MUOb0tE5U9u+xdGKDsYbGxheBlZjE0E13dP+31hjTgYeoyuU5bVv9+MzBreneVRO5xgvg9/VldUWG5oLoioqZe38nCytCdzxGbzJeXvvW3QMSUaE6AAtLU1tlsdALxC38X4h7V3/wRxioBQ8GLsdHUkzdp+bWlhW3VYms/Htma0G78tuwPs8MzYxtd2fkwa3p6NLPZRuQpIRITrAwOSRhg4jK7oZ8qcF3mDxWFQtcFdaVVEZmDTCSIiGjb0yB0NN8GyxWKoHEegDSkEhMiTGUP8TI/1rGpkKZgUc01jevj31GVNqoNeNt9rrwCntu+9g6p80DE0PnFxpuof+ScPadd8DkkcYfm70SxzarvsWHUOSESE6wKQ+8wIeRlYVlVG9JqM64vH/Ya+DO4wJfeYE/ADXdI3J/QI3lmuNrFFlRCbYA8QIoDBtwMKA43R0Zg64ImD/E1VRGZo23vA328mx9wds0qd5VKbcbOC0WCtEJdoZPj8vcEKiK0y8wdjptu5gSOpYb1LpJylQUIgLT6J/0vB23fe4rJmoAYqvqYpKv8ShHV7rRLQPSUaE6ACJkWlcPuy2Fq9XFZXo0HguH3Yb1/58S8OlzX04ey9b+MBOFg6/lqTINL8JyayBV9Errn+L17fVHX9b21C0q+UYR12ey7xJ4xmUMhp/q26Gpo5nav/LuXLEXS3uT1VUIkNiuGrE3dww5msB45ubfR3z78sndWDz/XMaTbv9EH3HlQbcXmstfmhHi/1zGu+fxT/YQXxGx5X172wm1czN476FoqjNJiQKim/MxRTja064NYrrR9/f4vWqohJiDue60V9p1/2KjiNFz4ToQDvy1rL84JtU28t9lykoDE2bwNUj7/FVGd31SW/e+91EnPVN5z1YQt1c/t2dTL7ZW6/E5qzjo30vsrtgY5ND5BHWaOYOuo7JfRd0SIEpgLy9Cbz83ZnUlodybrKhmjQm33yEK3/oXYLr1tysPPgmm3JW4PScrehqNYUwpd9C5g/+ku9ox+6CDSw78DqVtjO+cQoKQ1LHcdXIu4kJ806e3Ve0hbd3PovD3bRgmVm1sGDIjcwYcAUA9lozH/9lLDs/6ovmNuEryhZrZ/Z9+5l2++EOq4RafTqMD/4wjoNrejXpChyTWsfCB3YzenFux+w4yE6WHeajvS9RWJXT5PJecQO4euQ9ZMT27bB9Hzi1jU/3v3bBqquBySO5ZuS9ASvHio4nvWmE6CI0XeNE6QHK609jMVnonzic6LDmOzPv/yyDg59ngg79JxUz5ormV4jUOqo5dnovTo+DmLB4BiQN77SJerm7Etj5YT9cDhPpQyqYfPNhzM3s2uG2c+T0buqdtURYo8lOHuFrfHcuTdfIOXOQ8roSzCYLfROHEttCKe9DxTvYX7QNHY2+iUMZkzkdtZl2xvWVVo5uTMNRbyY62caAycUt9gNqb1UlYZzYmoLbaSIuo5Z+E0raveNyV1RYmcOpKu/zNTOuH6nRWZ2yX13XOVl+hNLaIkyKiT4JgyUJ6UKkN424JBQfi2HXx32oLQsjNMrJsHn59BlT2qX6gFQXR5L34S2UF3ob5YVMOcXgmc33SRk2t5Bhcwv9bs/udPP6W/vJda1BV21YXMnMGZjEzJkZbY6xvtLKjo/6UnIsFtWk03tUKSMuy/N1FT5Xn9Fl9BldFnCbIeZQRqRPCjiuxl5BXvlRyhqSEYsplKiQ2AsasjndDmod1aiqiqaD3VWPw20jzBpxwTbDY52MutzAUt8OEJNiY8yVuUHZdzBlxPbt0KMgLVEUhT4Jg+iTMKjT9y3ajxwZEd2SrcbCkoencXRDepPz9JpHJXVgBXf8dS3xmcE9P+92qXz4h3Fse2cAKLovQdI8KtHJ9dz2xy/IGnXG/0bO8/Gnx1lv+zWY3E2nbyigVPfiO5f9iuSUC48+tETX4fP/DGXVMyPQ3CqKqvtiDIl0cv0vNjNiQX6rYjTKo3n4ZN/LbMrxFmnznl5S0HQPkSEx3Dr+AfomDgG8p3Pe2/0fHG4bquI9/aLpOibVxILB3tM0HXV6SgjRdtKbRvRYLofKf74+l2ObvKW1NY/q+wfetvX/uucyqkuNfyi3N12Ht34+ma3vDEDXFXStaYw1Z0J5/mtzKTrU/Oma5qxZU8B6xy9AbUjIlXP+AXpUPn9f/UPsduOnI1Y/P4zlT4zG4zKh60qTGB11Fl778XQOrM40vL3WeHf382zMWYHe8J+ma755MHWOav6z4THyK46zt3Azr29/0jdf5GzBNG+Pn6UHXmPtsY86JEYhROeQZER0O7s+7kvhgXh0reUeJPWVIax9IXj1BU7uSmLPsj6+Zm3n0zUVj0vl07+NNrzNFQWPe39oeaEKhJXzwhtrDW2v5kwoq/7lpyZJQ+zv/348mqd9jzoUVJxgR95aWloG3Ngs76O9L/LBnhcCbm/FwTd9zfmEEN2PJCOi29m4JDtg4UfNo7Lt3f647O3fodWIzW8ODFh3QtdUjm9JoywvMuD2DuyvQI8sCFzwUoc869uGYtz+fj8CblBXqCkN58iGNEPbNGpL7qqAyz11dPIrjlHnrA64PV3X2J73eXuFJ4ToZJKMiG5F06DkWGyLRxzO5bRZqCi6cHJjZyjYFx+4aVuDU0cCn6rZvv+4scrbChBaYWi/RYfiDRVWVU1aq04nGVFQedxwbxqjlTaLqnIvIiIhRDBJMiK6FeWcORLG/qCjIgmw29a8spTAGYHaES9VRcdQNgIdsDqpvTeoyARWIboxSUZEt6IokD64PGDZb4DQSCfxGca6yLa3rFHG+pWg6GQMKQ84bNKYAcbyBh2oTzQwEHoNL8NIUqB5VDKHB17K2xq947MNV+XUDdxwHZ3M2PavPCuE6BySjIhuZ8otR1qcvNpIMWlM+NIxzNbOKXR1vsk3HQ14mkY1aWRPKyIuvT7g9gYMjEap7mOkPQz99BsNxTj2qpyACZOiaMSm19J/Yvu2YZ/Ud37A0zSKotI3YQjRoXEESppMqomxWTPaMUIhRGeSZER0O6MW5dJ3fHGLR0dUk0Zsaj2z7jnQyZGdlTmsnIk3HKWl7EFRNSwhHhZ/f6fhbV475LveuTItJSQ6KDXp3HPzFEPbi4hzcPn3Wt6/ouigwHU/39LuFURTo3sxrd8iP/tWMatmrhp5F9eN/kpDKtJyQnLF8DsJswRnfpAQ4uJJMiK6HZNF5+5/fs7IhSdRFB1F1VDNHt+3/N6jS/naf5cTHusMapxXP7yNWfcewGTxoCg6pnNiTOxdw9deWE5y38ArRRpNmJDE5Yl/AHeY9wK96T+1cgj/d83vMJuNv6yn3naEa36yBWu4C2iI0eyNMTLBxt2Pf87Aye17VKTR5cNvZ+6g6zCpZm9TNcXUUNAM4sOT+er0X5AancWglNHcOekhIkOiAVDPGRdiDuO60V9hct/5HRKjEKJzSAVW0a1VFIWzZ2kfastDCYl0MXxeHqkDq4IdVhP1lVZ2fdqHisJILKFuBk45RZ+xbS9Z73ZrvPfxQfafWYVHtRGqpXDlhKsZOTK+zTE6bSb2rsjylYPPGlnKoBlFmMwd//Zgc9axq2A9FfWnMakWBiQNp1/i0AsmpHo0D4eKd5BfcQxN10iNzmJExiQsJmuHxyiEaBtplCdEB6spC+Xgmgxs1VYi4hwMnVNAeEzbj8boOuTuTKJwfwK6DmnZFfSb2HyTtfLCCA6vy8BpMxGTWs/Q2QVYwy7sI9MRiqvzOF56AI/mIiEilUGpYzB3UpM+Ic7n0TwcKdlFae0pTKqJvglDSI/tE+ywRANplCdEB3HUm/ngsfHs/qQPmqagqjqaR+H9Rycw8UvHuPx7O1s9cTZnRxLv/WYipbkxvrkwuqYSl1HL1Q9vZdD0U4C3auo7v57E4S/SARr2rWINczHznoPM/sq+DusQe6b2FG/tfJa88iMoDUtpNV0j3BrFZUNuYmKfuR2zYyFasDN/HZ/uf41aRxWKooKuN6ys6sf1Y75KanSvYIcoDJI5I0K0gstu4t9fm8uuj/t4V8s09HMBBY/LxKbXs3n5+zPwuI2fgzmxLZl/f20eZ05650TomupbLVRRFMGLD87mwOoMastD+Nc9l3F0Q1rDRFbFt2LHabOw8ukRfPDYePQOONZ5praYp9b+koKKY94YG3rJANQ7a3hv979Ze1T6w4jOsylnBW/u+Be1Du9pWV3XfMvAC6ty+dfaX1FSXRDECEVrSDIiRCtsfD3bexqlhaXFuq5wZH0Guz/tY2h7mkfhzZ9NQde8f3vhBhV04K1fTmHFkyOpKg73s2RYYcub2eTuTDK079b4YM8LON02v8txlx1YQkV9abvvW4jz1dir+Gjviy1er+saLs3Ju7ue78SoxMWQZEQIgzQNNr6WHfDIg6JqbHgt29A2j25Io6okwn/dFF3BXmNlxwf9DNUu2bTE2L6NKqsr4VjpXgPl2xW25K5q130L0ZxtJ1ejB3gh6rpGXsVRiqvzOikqcTEkGRHCoJrSMKpKIghUgEvXVIoOJuB2BX555e5M8i2l9UdRNTzuwE3/NI/Kie3JAce1xsmyI4bG6WicOBO82i7i0pFTdshQZV6AXIPPXxFckowIYZDH3bqXi2Zg3oh3m+07yUNrZZwBt6cbX6Xj0TpnRY+4tHkMrqpUUNBkBWa3IMmIEAZFJ9mwhrkMjNSJTq7HEhr4gzm5X5Wh5ME7nyRw0qKoGin927fOSnJUhqFxqqKSGp3VrvsWojkp0b0M9TbS0UmOyuyEiMTFkmRECIPMVo3x1x0P3M9Fhck3HTFU1GzkwpNYwwJ/c1NVnQGTT6EE2LeuqUy66WjgHbdCr7gBJEWmowQ4PaXpGpP6zGvXfQvRnIl95hiYwwSxYYn0SxraCRGJiyXJiBCtMOOug4RGOVtMClSTRkxKHZNuNJYQWMM8XPbt3QHHzb5vP4u+uwuTSffbkydjWBnD5uUb2rdRiqKwePjt/segMCxtAplx0jlXdLzU6CzG9JoRMEFePPwOw92hRXDJoyREK8Sk2Lj/+ZXEJHs77TYmBmd7zlRz//MrCYs2cjrHa8qtR1j0nZ0oqtawPW+zGUXVUBSdWV/ez7yv7yV9UCX3PvUZoVHebSuK3mTfvUeXcu+TqzFb2r9T8aCU0dwy/oELSq83vtEPz5jETeO+eUEJdyE6ynWjv8KYhk7NTRMOBZNq5oYxX2d4+oTgBCdaTcrBC9EGHrfC4XUZ7FmeRX1lCFEJdkYtzmXA5FNtroBaXRrKtncHkL8vAXRIH1zBhOuPEZtW32Scy+7tI3Pw8wyc9WZi0+oZd/UJeo080+Z+N0bZXfXszP+C46X7cWtOEiLTmNB7jlS6FEFzuqaQbSdXc7qmCJNqpm/iEMb1mkmYVbo4dwXSm0Z0Gl3XKa7Oo7L+DBZTCFnxA7CaQy9qm06bibzdibjsZmLT6kjNruzwD9rW8rgV8vYkYquyEhnvIHPEmRYTkeJjMVQURGIO9ZA14gwhEc0/j6vtFZyqOomu66RG9yI2PLEDb0HXcWB/JQVFlVgtZsaMTiYmtus1v6uoL6WkOh9FUUmP6UNUaGywQxKiy+uw3jTp6WlMGD8Bs8XM7t17OHbsmN/xo0ePZvz4cU0uczqdvPjiS63dteiCDpzaxspDbzcpLGQ1hTChz1wWDL6h1UmJ02Zi5VMj2fL2AJw2i+/ylAEVLPjmHobOKWy32NtK8yise3Ew618eTG15mO/ymNQ6Zt17gEk3HvUlToe/SGPFUyMpOpjgG2cJdTP+2uMs+NZuQiO9SUlZXQlL97/GgVPbmtRPGJQymoVDb+mxRx7WfF7A6uNLcCXs9F22fGUoyTXXcdfVC4hPCAlidF6nqk6y9MASjp7e47tMUVSGp01g4dBbiI9o37ouQlyKWnVk5LHHHmXmjJns3r0bj8fDokULeeXVV/nlLx9p8W++850Huefuu/jgww99l9ltdn7/2B8MBylHRrqmzbmreH/3f1BQLihApKCSHtub+6f9zHBC4rSZeP7+eRQejL+gIqmi6Oi6wtX/t4XJN/lPgDuSpsHrP5nK3mW9ubD4mQ4oTLn1MFf+cDs7P+zLW7+cjKJcWOq9cQnuV/+zgmr9JP9a90iz5dZVRcWkmrl/2s/JjOvXobets3348VE2uh7x9tk5f1KuZsJU3Z/vXflwUBOSvPKj/HvDo7g1N3ozj02oJZyvz3iExMjUIEUoRNfWIUdGVn+2hp/85GdomvdFOXHCBN577x0+/XQZmzZtavHvCgoL/SYsovspqy3mg93/BWi2EqKORlHlSVYeeovFw+8wtM2VT49sNhGBsx/mHz42gQGTSkjsXXMR0bfdjg/6tZCI4Lts42uDSB9Uzju/ngQ033NG11RKjsew9J+jyJvywxb7vmi6hu5x88rWv/PDBX/vMSsDThXZ2Oj4Hai699/5VA+e6OP8572P+cF913d+gHgLuL2y5e+4Pa5mn+OarmF31fP6tif41uzfBiFCIXqOVr2zLVu+3JeIAGzZuhWHw0H//v6/scVER3PrLTdz3XXXBhwruofNuSsJNIlDR2NL7mc43faA23PaTGx5e4D/Hi2AoupsfnNgq2JtL7oO618ZHHDuimLS+OzZ4Y2/tbw9TWX79hKKq/P81kzQ0aiylXGkZFfrg+6iPl69ExSP/8r6qofyuA8oPe3otLjOdbB4OzWOSr9lxzVdo7Aqh4KKE50YmRA9z0V9zZo7dw4hISHs2b3H77iwsDAmTZ7E1VddxcoVy/nlL3/hd7zVaiUyMtL3LyJCZkV3NQeLd1xw2Lo5To+DvPLAp1Xy9yXgrLcEHKd5VA6uMVYRtL3VloVSciy2+e6659A9KhVFkQETKwBP7xUoBO45oyomDvWgZCTfsREUA0uQTS62bG/fuilGHSnZbehIlKqoHD69q+MDEqIHa/UE1kbp6Wn8+U9/4vU33mTvvn0tjlu+fDlPPfU0Lpe3NsKUKZN54/UlbN68haVLlzb7Nw98+1s89ND32xqa6AROj/Fvqy7NGXiM3fhT0dmKse3JZQ+cNJxlcOmPpb5hzk0gOm5P4Puxu9BM9YbvIqcrOPPEXJozYIdmLwWXu+c8NkIEQ5uOjCQlJfH6ktc4cOAAP/7xw37HHjx4yJeIAGzcuIl9+/Yzc+aMFv/m8SeeJHvQEN+/MWPHtyVM0YHiw5MDVj9sFBsWeHlqbFqdoW0pqkZ8RsuToDpSZIId1WysEZxq0ox986/sg0bgberQo5b5hrl6gcdYcpecENPB0TQvNizR0HJyTdeI60GPjRDB0OpkJCkpibfefJ28vHzu+8r9OJ2t/0bgcjmJjopq8Xqn00ltba3vX12dsQ8q0Xkm9J4bsIW3gkJaTG/SYgI3T0sdUEX64PIWS5030jWVCV8Kzmoaa5iHUYtOBu5NY9LInl4EeoCXl6KTUHWFsYZfusbYXjNbE26XNr7PHDAFSMJ0UKuzmDQ5pXOCOs+4rJmG+p+YVBMjM6d0QkRC9FytSkYSExN5840lFBQU8uX7voLDceGh+rFjx3DXXXf6fh8wYECT67OzsxkxYgRbtm5tY8iiKxiRMYmEiBS/H6Q6OvMH32B4m/O/sadhnkXzSY5q0ojPrGHkZXnNXt8ZZt5zENWk+0qxn09RNaxhbq74wQ6S+1X6T1x0hcvuK2Rqv4V+96mgMLbXjB5Vz2Lu7CzM5SPA4+eUmwLjY+7GbArOCqLEyDRGZkwJeARwev/FhFlkXpsQF6NVr/LXXn2Z9PR0Nm7cyJ133sFXvnIfX/nKfYwdO8Y3Zs7s2fzfwz/2/f673/6a5597lu9+9zv8+pFf8cH77/L552t57bUl7XcrRKezmKzcN/UnxIV7PyDPfcNWFBUFhetG3ceQ1LGGtzl4ZhHX/XwzikqTRnSNR0vi0uu475lVWEKNnSrpCCn9q7jrH2swh3hQVG8PGS8dFJ3QSBdffno1CZm13v9neZcgn3vEx3sKR+fKH21jxIJ8Fg69xXfU49zkrvHnwaljuXbUfZ1y+zqL2azwzUXfxVw9yHuBds4pm4YEZZDtO1x79eAgRHfWl8Z8lUEpo4HmH5vxveewYMiNwQhNiB6lVUXPfv6zn2K2XPhNZvXqz1mzZg0As2fPZsrkSU2Kms2ZM5uxY8Zgs9nYuWsXGze2XJOkOVL0rOtyeZzsK9rMltzPqKgvxWIKYWjaOCb2mUdCRNsOr5flR7Ll7QEcWJ2Jy2YmLqOWCdcfZ8RlJ7GEtH8TuLaoLQ9h27v92f1pH+qrrUTG2xl7VQ5jrzrRpEme26myb1Uvtr49gLK8KCyhHgbPLGTSjUeb1ErRdZ2T5UfYlLOCvPKj6OhkxPZlct8F9E8c1mMb0NkdGitXnWDHqeU4QnNQtBCS3dO4bNJUBg8NzlyR82m6xvHS/WzKWUFRZQ6KotI7YRCT+84nK25gj31shGgP0ptGdCp7rZnasjAsoW6ik21dro9MRyk5Hk11SThxGbUk9g7OxFohhOiqOqw3jRDnOnU4ls9fGMq+FVloHu+h66S+VUy7/RDjrzve5g62Xd2yx0ey6fVsHHWNDd10wmIczLr3ADPvPhTU2IQQoruRZES02ZH1abz0vZnomuJLRABKc6N577cTObYplVse24Bq6vIH31rl2fvmkbsjhaYTbRVsVSEs/ftYCvYncNsf1wcrPCGE6HZ66PdW0dFqzoTy8kMz8LjVJokI4G18hsK+lVms+9+QoMTXUZY/ObIhEYELq3Z5f9+3Iostb/fv1LiEEKI7k2REtMnWd/vjcZkaEo+WKHzxymA8rp4zgWTjkmxaWnp8rtXPDQ84RgghhJckI6JN9iztjYF6UNSVh5K3p2dUpzxzMhJHrZXAdcwVqkrCcTvl5SWEEEbIu6VoE1u1kQ9lL3uNNfCgbqCqJLwVo5WG+0gIIUQgkoyINolMsGPkdAVARLy9Y4PpJPGZtRi9zaATFtszbrcQQnQ0SUZEm4y9OsfAgRGd2PRaMoeXdUZIHS4uvZ7IeCNJmE5Sn2rMslZNCCEMkWREtMnYq04QFuUM0NhOYfaX9/eoWiOzv7IvwAhvonLZA7s6PBYhhOgpetDHhOhMYVEu7n1qNSER7gsSksa+MtPvPMiE648HI7wOM/XWo4y+Igdv0nH+ERLv79PvPMiwuYWdHZoQQnRbciBZtFnmsHK+89bHbHo9m61v96e+KhRF1Rg45RRTbz1C9tRTwQ6xQ9z0200MmFTMqmdGUFEYifd8lU5S32oWPriLobMlERFCiNaQZKS70HW6YsOXmGQbCx/YzcIHduN2qqhmLeBpGb3hgEIXvDmGjb0ql7FX5aJpYKsxExbl7lGno4Khiz7FhRCdQJKRLizWeZqx5csZUbWOME8tDjWMg9FT2BZ/GWdCewU7vAuYrS3PH/G4FPYs683GJdkUHYoHIG1QBVNuPsLIy09itnSNbrxGFR+LYdOSbPYs6429zkJ4tJMxV+Yw+aYjJGRJwzyjbNUWtr47gM1vDqCyKBKTRWPA5FNMufUIAyYVS3IixCVCuvZ2Uf1qdvGlgr+h6hoqZz+oPago6Hyc/jX2xc4IYoTGOerN/O+BWeTuSEFRNXTNewih8efeY05zz+NrCInoHo/tzo/78NYvJqMoNCmFr5o0FFXn9r+sY/CMoiBG2D2cORnF81+dR01pWMPRMm/moZo0NI/KlFsOc+WPtktCIkQ3ZrRrrxxY7oLiHaf4UsHfMOnuJokIgAkNBZ0ri54ho/5IkCJsnbd/NYmTu5IAfInIuT/n7U7krV9ODkpsrZW3O5G3fjHlguaA4E1MPG6VVx6awemc6CBF2D24nSr/+eYcastC0Rt6GTVqvF83LhnE+lcGBSlCIURnkmSkCxpfvgxF11os46EAGgqTyj7qzLDapCw/kn0rejdJQs6nayr7V2VRlhfZiZG1zdr/DUFRdFossqIr6JrCxteyOzWu7mbfql5UFkVe2GTxPJ//d1iP6m0khGieJCNdja4zonItJvzPoTChkV2zgxBPXScF1ja7PunjW+rrj2LS2PlJ306IqO3stWYOfp4Z8ANU86js+LCfb6KuuNCOD/oFqFHjVVceyvGtqZ0QkRAimCQZ6WLMuhOr7jA0VkEn3FPTwRFdnNqy0IYjCf4pCtSeCe2EiNquriIUXTP2Ld1lN+O0yfzwllSfDvd7tOxcXf15IYS4eJKMdDFuxYKnFQ+LQw3rwGguXkiEC3QDH+A6hES6Oj6gixDaivgUVcMS4unAaLq3sGgHRvv8dPXnhRDi4kky0tUoKkeixgdMSDQUCsIGUG+O6aTA2mbYvIKApzXAe2pj+Lz8Toio7SLiHGSNKg14ekE1aQydU4BqkvM0LRm+IN9Q02dLqJsBk4o7PiAhRFBJMtIFbU1YFHDOiIrOloTFnRRR22UOKyNz2BlUP/NGVJNGxpCybtFQb/odhwKeXtA8KlNvO9xJEXVPY686gTXMjaK0/LxQVJ2JXzrWbZZ8CyHaTpKRLqgwfBArU24HvEdAztX4++b4xRyOmtjpsbWWosBtf/qCyAR7swmJatKIiLdz25+/6Bb1JIbNy2fG3QcALuzJ0/D75d/bQd+xpZ0eW3cSFuXizr+txWTRm3le6CiKTu/Rp6XhoBCXCJlh10VtTVhMuTWNyWUfklV/9lv26dDebE64ggPRU7pN7ezYtHq+9epS1v53KFvf6Y/TZgHAGuZi/HXHmXXvAaIS7UGO0hhFgUXf2UX64ArWvTiEooPxvuuyRp1h1j0HGDxTCp4Z0X9iCd94aRlr/j2MfSt7+Y44RSfbmHLLYabdfthvVV8hRM8hFVi7gUhXORHuamymCKqtScEO56K47CbKCrz1ROIzarGGde9JnhVF4diqQ4iItxOTbAt2ON1WfZWVquJwzCEeEnrVynwbIXoIoxVY5chIN1BriafWEh94YDdgCfWQOqAq2GG0m7j0euLS64MdxkXRNJ2NG4v54uAaaqyHUHQTCdo4FkyYyrDhcW3apr3WzM6P+rHr097UVYQSGW9n9OIcxlyR2+wckPAYJ+Exzou9KUKIbkqSESEuYfV1Hv7+2kvUJq2AeDOYvInCac9xXjn+Kr123MfX7piDqho/JZi3J4EXvj0be63Ve4GuUF4QSd7uRFY8NYp7n1xN5rDyjrg5QohuSiawCnEJe3zJm9QmrPL+YjrniEXDz/kx/+bF17cY3l55QQT/+cZcHHUWb32ZxhozDf1n7DUW/v31uVQUhbfTLRBC9ASSjAhxiTp0oIqqxA8hQN2UI6b/UFtrbK7WFy8Pwe0wtbj8WddUXDYzG1+TBnhCiLMkGRHiErVq6xbwGDhTa61l5erjAYe5XSrb3+9nqHfP1nf7o3m6x2owIUTHk2REiEtUtbsYVAOrmTQLpVWB66bUV1px2Y1NQ3PUWbHXWAyNFUL0fJKMCHGJMhECuoG3AEXDYgqcOLS2F49ZevcIIRpIMiLEJWpA4ghjR0ZUD2OGDgg4LCzaRfrg8oC9exRVo9eI0m5fY0YI0X4kGRHiErVowUCwx4K/XjseE9aycYwalWBom1NvPRywd4+uqUy99UgrIhVC9HSSjAhxiQoPN3NZyv95T9U0l0B4TOCM5vZpXzG8zdFX5jB8wUlQWqqgqjPq8hxGLDzZtqCFED2SJCNCXMJmz87kmvQ/Yq0Y1/QKXSGyfC5fmfB7Bg6KNrw9VYVbfr+B+d/YQ1iMo8l14TF2Lvv2bm787UZUeecRQpxDKrAKcYmbNDmFSZO/y4H9lZw4eQZVVRg+JI2s3m0rTKaadObev5+Zdx8kZ3sy9ZUhhMc56DvuNGaLNL4TQlxIkhEhBABDh8UydFhsu23PbNUYOKW43bYnhOi55GCpEEIIIYJKkhEhhBBCBJUkI0IIIYQIKklGhBBCCBFUkowIIYQQIqgkGRFCCCFEUEkyIoQQQoigkmRECCGEEEElyYgQQgghgkqSESGEEEIElSQjQgghhAgq6U0jOo3mUTj8RTqFB+IByBhazqDpRaimltrNCyGEuBS0KhlRFIWFCxcyZcokLGYLu3bv5u2338Hj8fj9u9TUVO6843YyMjPIycnlf/97kcrKyouJW3QzB9dk8N6jE6gpDUc1eTu3ah6VqEQb1/xkC0PnFAY5QiGEEMHSqtM077/3Dl+6/jry8ws4duwYDz74AG+/9QYWi6XFv8lIT2fZ0k8YPnwYO3bsZMb06Xz6yUfExsZebOyimziwOpOXvz+TmjNhgDcJ0Tzep15NWSgvPzSTfasygxmiEEKIIGrVkZFvfONbFBYV+X5fvmIlWzZvZO6cOSxbvrzZv/ne977L6dOnuffLX0HTNN54403Wf7GO++//Cn/6058vLnrR5bmdKm8/MgkdQFcuHKAroOi8++tJDJ5RhNmqdXaIQgghgqxVR0bOTUQASkpKcDqdfo9yzJ07l08++RRN837I2O12Vqxcwfx5c1sfreh29q/qha0qpPlEpJGuYKsOYd+qXp0XmBBCiC7jolbT3HH7bSiKwoaNG5u9PjQ0lNTUlAuSmIKCQrKyslrcrtVqJTIy0vcvIiLiYsIUQZS3NxHV7H9OEYBq1sjbndgJEQkhhOhq2ryaZuKECfz85z/j0d8/Rn5+frNjQkJCAKirq2tyeX1dne+65jzw7W/x0EPfb2toogvRDZ910dH9HT0RQgjRY7UpGRkzZjQvvvgCzz33PM8882yL4+rq6vB4PBecxomLi6O6urrFv3v8iSd55tnnfL9HRESwc8e2toQqgix1YCWaO/ABOM2tkjqgsuMDEkII0eW0+jTN6NGjefWVl3nppZf5/WN/8DvW7XZz9OgxBg8a1OTywYMHc+jQoRb/zul0Ultb6/t3/pEV0X2MWnQSS2jg0zSWEA+jF+d2fEBCCCG6nFYlIyNHjuS1V72JyO8e/X2zY664YjF/+fOffL+/8+67XH31VaSkpAAwYMAA5s6dw9vvvHsRYYvuIiTCzaLv7Ao4buGDuwiJcHd8QEIIIbqcVp2meenFFzCZTPTq1Yunn3rSd/lHH3/Mxx9/AsDgQYNYvPhyHvrBDwF49tnnmDhxAitXLGPv3n2MGTOaDz/6iLfeersdb4boyqbccgTNo7D0H6O9p2yUhoqruoJq0lj44G6m3nYkuEEKIYQImlYlIz/92c8xqaYLLj927Ljv548+/oQDBw/6fnc6ndx11z2MGDGCjIwMHvn1bzh8+PBFhCy6o2m3H2bMlTns+KAfBQ3l4DOHljP2qhOExzqDHJ0QQohgUtLSM7t8Y5DIyEiOHD7IX/a8gVOTQ/lCCCFEd2BVzTw08iayBw2htra2xXHStVcIIYQQQSXJiBBCCCGCSpIRIYQQQgSVJCNCCCGECCpJRoQQQggRVJKMCCGEECKoJBkRQgghRFBJMiKEEEKIoJJkRAghhBBBJcmIEEIIIYJKkhEhhBBCBJUkI0IIIYQIKklGhBBCCBFUkowIIYQQIqgkGRFCCCFEUEkyIoQQQoigMgc7gNawqt0qXCGEEOKSZvRzu1t8ukdERADwwPDrgxyJEEIIIVorIiKC2traFq9X0tIz9U6Mp81SUlKoq6szPD4iIoKdO7YxZuz4Vv2d6Hjy2HRd8th0XfLYdF3y2PgXERFBSUmJ3zHd4sgIEPCGtKSurs5vNiaCRx6brksem65LHpuuSx6b5hm5T2QCqxBCCCGCSpIRIYQQQgRVj01GnE4nf/nLX3E6ncEORZxHHpuuSx6brksem65LHpuL120msAohhBCiZ+qxR0aEEEII0T1IMiKEEEKIoJJkRAghhBBB1W3qjLTFyJEj6dunD+s3bODMmTPBDueSd9VVV6IqTfPfvfv2cuJETpAiEucbOnQImRmZ7N+/n8KiomCHc8kbMmQw2QOzm73ugw8/RNdlyl+wDR06hF6Zvaiqrmb3rl3Y7PZgh9Qt9dhkpE+fPrzy8oskJCRw8y23sm7dF8EO6ZL35BOPs2XLVkpLS32XVddUSzLSBSQlJfH8c8/Qq1cWO3fupF+/vrzxxps8/a9ngh3aJW1Q9iAWLrysyWWTJk1CVRU++PDDIEUlAKKjo3n5pf+RlZXFzp27yOyVSVpqKl/7+jdYv35DsMPrdnpkMmKxWHj6qSd56qmn+fnPfxbscMQ5nnjyKdasWRPsMMR5/vOf53HYHUybNh2b3Y6iKMybNzfYYV3y3nv/fd57/33f7yEhIezcsY2XXnpZjooE2V133Um//v2ZOnU61dXVADz15BP86le/ZMGChUGOrvvpkXNGfvKT/+PosaNNXsSiaxgyeBCLFi5k6NAhKIoS7HAEMGPGdMaNHcuvfvWI7xCzruusXLkqyJGJ8y1efDnR0dG8tuT1YIdyyQuxWqmqrPIlIgB5+flYLZYgRtV99bgjI3PnzmHRwstYcNkioqIigx2OOIeu69xwww0UFhUyetQoCguL+NrXv0FeXl6wQ7ukTZ40ibKyMg4dPszUqVOwWkM4ePBgm/tBiY5z6623sH7DBnJzc4MdyiXvvy/8j1mzZvLkE4/z+dq1ZGZkcO01V/OjHz0c7NC6pR6VjCQnJ/OXP/+Jr33tG9TW1koy0sXcc++XWb16DQCRkZG8+spLPP7Pv3PNtdcHN7BLXEJiArW1tbz37jvY7XY8Hjfjx0/gb3//O0888WSwwxMNsrKymDplCt/61gPBDkXgbf62bfsOrrryCiIiIsjMzCQvP5/8gvxgh9Yt9ahk5Oc/+yk5ObmkpaVxzdVXExsXC8CUKVNwudxs2rQpuAFe4hoTEfC+kJ96+hn+8+/niI2NpbKyMmhxXeocDge9e/fmH/94nCWvew//X375Ip579hlWr17N/v0HghyhALjllpuprKzk06VLgx2KAH70wx9wxeLLmTf/Mt+pmscee5SXX3qJGTNnoWlakCPsXnrUnJHDhw9TUlLCokULWbRoIbNnzQJgwoTxjB83NsjRifPV1tYAkJAQH+RILm0nc08C8PEnn/guW7ZsOZqmMWL4iGCFJc6hqio33XQjb771tvQ/6SImT57M2rXrmswZ+fjjT+jbtw/p6elBjKx76lFHRp548qkmv6elpbJw4WX885+Py9LeIEtMTLyg1sviyy+nvKKC3IYPQxEcK1d9xiOP/IoBA/qzc+cugP9v7/5ZEojjOI5/hnsAToVxBYb6DGqTJEG3Wips7Q/UHD2EaoigGvT6M9cQarXVUF01uTiLm4JNRY7CHbQ01Nb2Pe39Gm/6jG+4H7+fJhMJOY6jLneNREI2O6OxeFwXF5fWU/Ct+9ZVKpX89S2VTCoIgl/XF+BvhipGEF3T01Pa3NzQ3d29Pt7flclkVCjktbW1rTAMref9a+12W+WypxOvrNOzc4VBoJXVFfn+s15eifgoWC4WVa/X1Wq1rKfgW6nkqVq5kueV9PToa3xiXOtrqyqVPfX7fet5A2eoX+2NxWLa293R4dGxms2m9Zx/L51Oa35+TqMjI2p3OqrVrtXpcNgrKgr5vHK5WQVhqEajoUqlyn/vCHAcRwcH+7q5udXDw6P1HPzguq6WFhfkuq4+ez35/rN837eeNZCGOkYAAED0DdUBVgAAMHiIEQAAYIoYAQAApogRAABgihgBAACmiBEAAGCKGAEAAKaIEQAAYIoYAQAApogRAABgihgBAACmiBEAAGDqC93KwiGFPNHcAAAAAElFTkSuQmCC" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.29 = -1.0 * 2.9 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.43 = -1.0 * 4.3 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.58 = -1.0 * 5.8 * 0.1\n", - "-0.40 = -1.0 * 4.0 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.41 = -1.0 * 4.1 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.42 = -1.0 * 4.2 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.45 = -1.0 * 4.5 * 0.1\n", - "-0.23 = -1.0 * 2.3 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.53 = -1.0 * 5.3 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 7.0 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.9 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 6.5 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 4.9 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.2 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.0 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.8 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.4 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 3.4 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.1 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.71 = 1.0 * 7.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.76 = 1.0 * 7.6 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.49 = 1.0 * 4.9 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.73 = 1.0 * 7.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.36 = 1.0 * 3.6 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.57 = 1.0 * 5.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.22 = 1.0 * 2.2 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.56 = 1.0 * 5.6 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.74 = 1.0 * 7.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.79 = 1.0 * 7.9 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.59 = 1.0 * 5.9 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "5.689999999999995\n", - "#19 err:0.6666666666666666\n", - "[[ 0.28677805]\n", - " [108.03017307]]\n", - "[[0.]]\n" - ] - }, - { - "data": { - "text/plain": [ - "
" - ], - "image/png": 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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.29 = -1.0 * 2.9 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.43 = -1.0 * 4.3 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.58 = -1.0 * 5.8 * 0.1\n", - "-0.40 = -1.0 * 4.0 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.41 = -1.0 * 4.1 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.42 = -1.0 * 4.2 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.45 = -1.0 * 4.5 * 0.1\n", - "-0.23 = -1.0 * 2.3 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.53 = -1.0 * 5.3 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 7.0 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.9 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 6.5 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 4.9 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.2 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.0 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.8 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.4 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 3.4 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.1 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.71 = 1.0 * 7.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.76 = 1.0 * 7.6 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.49 = 1.0 * 4.9 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.73 = 1.0 * 7.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.36 = 1.0 * 3.6 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.57 = 1.0 * 5.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.22 = 1.0 * 2.2 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.56 = 1.0 * 5.6 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.74 = 1.0 * 7.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.79 = 1.0 * 7.9 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.59 = 1.0 * 5.9 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "5.689999999999995\n", - "#20 err:0.6666666666666666\n", - "[[ 0.28677805]\n", - " [113.72017307]]\n", - "[[0.]]\n" - ] - }, - { - "data": { - "text/plain": [ - "
" - ], - "image/png": 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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.29 = -1.0 * 2.9 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.43 = -1.0 * 4.3 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.58 = -1.0 * 5.8 * 0.1\n", - "-0.40 = -1.0 * 4.0 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.41 = -1.0 * 4.1 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.42 = -1.0 * 4.2 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.45 = -1.0 * 4.5 * 0.1\n", - "-0.23 = -1.0 * 2.3 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.53 = -1.0 * 5.3 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 7.0 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.9 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 6.5 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 4.9 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.2 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.0 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.8 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.4 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 3.4 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.1 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.71 = 1.0 * 7.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.76 = 1.0 * 7.6 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.49 = 1.0 * 4.9 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.73 = 1.0 * 7.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.36 = 1.0 * 3.6 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.57 = 1.0 * 5.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.22 = 1.0 * 2.2 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.56 = 1.0 * 5.6 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.74 = 1.0 * 7.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.79 = 1.0 * 7.9 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.59 = 1.0 * 5.9 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "5.689999999999995\n", - "#21 err:0.6666666666666666\n", - "[[ 0.28677805]\n", - " [119.41017307]]\n", - "[[0.]]\n" - ] - }, - { - "data": { - "text/plain": [ - "
" - ], - "image/png": 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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.29 = -1.0 * 2.9 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.43 = -1.0 * 4.3 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.58 = -1.0 * 5.8 * 0.1\n", - "-0.40 = -1.0 * 4.0 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.41 = -1.0 * 4.1 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.42 = -1.0 * 4.2 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.45 = -1.0 * 4.5 * 0.1\n", - "-0.23 = -1.0 * 2.3 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.53 = -1.0 * 5.3 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 7.0 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.9 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 6.5 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 4.9 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.2 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.0 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.8 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.4 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 3.4 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.1 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.71 = 1.0 * 7.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.76 = 1.0 * 7.6 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.49 = 1.0 * 4.9 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.73 = 1.0 * 7.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.36 = 1.0 * 3.6 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.57 = 1.0 * 5.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.22 = 1.0 * 2.2 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.56 = 1.0 * 5.6 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.74 = 1.0 * 7.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.79 = 1.0 * 7.9 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.59 = 1.0 * 5.9 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "5.689999999999995\n", - "#22 err:0.6666666666666666\n", - "[[ 0.28677805]\n", - " [125.10017307]]\n", - "[[0.]]\n" - ] - }, - { - "data": { - "text/plain": [ - "
" - ], - "image/png": 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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.29 = -1.0 * 2.9 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.43 = -1.0 * 4.3 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.58 = -1.0 * 5.8 * 0.1\n", - "-0.40 = -1.0 * 4.0 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.41 = -1.0 * 4.1 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.42 = -1.0 * 4.2 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.45 = -1.0 * 4.5 * 0.1\n", - "-0.23 = -1.0 * 2.3 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.53 = -1.0 * 5.3 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 7.0 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.9 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 6.5 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 4.9 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.2 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.0 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.8 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.4 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 3.4 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.1 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.71 = 1.0 * 7.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.76 = 1.0 * 7.6 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.49 = 1.0 * 4.9 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.73 = 1.0 * 7.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.36 = 1.0 * 3.6 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.57 = 1.0 * 5.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.22 = 1.0 * 2.2 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.56 = 1.0 * 5.6 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.74 = 1.0 * 7.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.79 = 1.0 * 7.9 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.59 = 1.0 * 5.9 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "5.689999999999995\n", - "#23 err:0.6666666666666666\n", - "[[ 0.28677805]\n", - " [130.79017307]]\n", - "[[0.]]\n" - ] - }, - { - "data": { - "text/plain": [ - "
" - ], - "image/png": 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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.29 = -1.0 * 2.9 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.43 = -1.0 * 4.3 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.58 = -1.0 * 5.8 * 0.1\n", - "-0.40 = -1.0 * 4.0 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.41 = -1.0 * 4.1 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.42 = -1.0 * 4.2 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.45 = -1.0 * 4.5 * 0.1\n", - "-0.23 = -1.0 * 2.3 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.53 = -1.0 * 5.3 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 7.0 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.9 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 6.5 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 4.9 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.2 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.0 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.8 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.4 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 3.4 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.1 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.71 = 1.0 * 7.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.76 = 1.0 * 7.6 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.49 = 1.0 * 4.9 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.73 = 1.0 * 7.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.36 = 1.0 * 3.6 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.57 = 1.0 * 5.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.22 = 1.0 * 2.2 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.56 = 1.0 * 5.6 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.74 = 1.0 * 7.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.79 = 1.0 * 7.9 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.59 = 1.0 * 5.9 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "5.689999999999995\n", - "#24 err:0.6666666666666666\n", - "[[ 0.28677805]\n", - " [136.48017307]]\n", - "[[0.]]\n" - ] - }, - { - "data": { - "text/plain": [ - "
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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.29 = -1.0 * 2.9 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.43 = -1.0 * 4.3 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.58 = -1.0 * 5.8 * 0.1\n", - "-0.40 = -1.0 * 4.0 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.41 = -1.0 * 4.1 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.42 = -1.0 * 4.2 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.45 = -1.0 * 4.5 * 0.1\n", - "-0.23 = -1.0 * 2.3 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.53 = -1.0 * 5.3 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 7.0 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.9 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 6.5 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 4.9 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.2 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.0 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.8 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.4 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 3.4 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.1 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.71 = 1.0 * 7.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.76 = 1.0 * 7.6 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.49 = 1.0 * 4.9 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.73 = 1.0 * 7.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.36 = 1.0 * 3.6 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.57 = 1.0 * 5.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.22 = 1.0 * 2.2 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.56 = 1.0 * 5.6 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.74 = 1.0 * 7.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.79 = 1.0 * 7.9 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.59 = 1.0 * 5.9 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "5.689999999999995\n", - "#25 err:0.6666666666666666\n", - "[[ 0.28677805]\n", - " [142.17017307]]\n", - "[[0.]]\n" - ] - }, - { - "data": { - "text/plain": [ - "
" - ], - "image/png": 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" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.29 = -1.0 * 2.9 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.43 = -1.0 * 4.3 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.58 = -1.0 * 5.8 * 0.1\n", - "-0.40 = -1.0 * 4.0 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.39 = -1.0 * 3.9 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.57 = -1.0 * 5.7 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.36 = -1.0 * 3.6 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.47 = -1.0 * 4.7 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.54 = -1.0 * 5.4 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.52 = -1.0 * 5.2 * 0.1\n", - "-0.41 = -1.0 * 4.1 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.42 = -1.0 * 4.2 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.55 = -1.0 * 5.5 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.49 = -1.0 * 4.9 * 0.1\n", - "-0.31 = -1.0 * 3.1 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.34 = -1.0 * 3.4 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.45 = -1.0 * 4.5 * 0.1\n", - "-0.23 = -1.0 * 2.3 * 0.1\n", - "-0.44 = -1.0 * 4.4 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.35 = -1.0 * 3.5 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.48 = -1.0 * 4.8 * 0.1\n", - "-0.30 = -1.0 * 3.0 * 0.1\n", - "-0.51 = -1.0 * 5.1 * 0.1\n", - "-0.38 = -1.0 * 3.8 * 0.1\n", - "-0.46 = -1.0 * 4.6 * 0.1\n", - "-0.32 = -1.0 * 3.2 * 0.1\n", - "-0.53 = -1.0 * 5.3 * 0.1\n", - "-0.37 = -1.0 * 3.7 * 0.1\n", - "-0.50 = -1.0 * 5.0 * 0.1\n", - "-0.33 = -1.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 7.0 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.9 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 6.5 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 3.3 * 0.1\n", - "0.00 = 0.0 * 4.9 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.2 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.0 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.2 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.9 * 0.1\n", - "0.00 = 0.0 * 3.2 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.4 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.8 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.4 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.4 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 6.0 * 0.1\n", - "0.00 = 0.0 * 3.4 * 0.1\n", - "0.00 = 0.0 * 6.7 * 0.1\n", - "0.00 = 0.0 * 3.1 * 0.1\n", - "0.00 = 0.0 * 6.3 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.5 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 6.1 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.8 * 0.1\n", - "0.00 = 0.0 * 2.6 * 0.1\n", - "0.00 = 0.0 * 5.0 * 0.1\n", - "0.00 = 0.0 * 2.3 * 0.1\n", - "0.00 = 0.0 * 5.6 * 0.1\n", - "0.00 = 0.0 * 2.7 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 3.0 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 6.2 * 0.1\n", - "0.00 = 0.0 * 2.9 * 0.1\n", - "0.00 = 0.0 * 5.1 * 0.1\n", - "0.00 = 0.0 * 2.5 * 0.1\n", - "0.00 = 0.0 * 5.7 * 0.1\n", - "0.00 = 0.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.71 = 1.0 * 7.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.76 = 1.0 * 7.6 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.49 = 1.0 * 4.9 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.73 = 1.0 * 7.3 * 0.1\n", - "0.29 = 1.0 * 2.9 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.36 = 1.0 * 3.6 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.57 = 1.0 * 5.7 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.22 = 1.0 * 2.2 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.56 = 1.0 * 5.6 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.72 = 1.0 * 7.2 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.74 = 1.0 * 7.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.79 = 1.0 * 7.9 * 0.1\n", - "0.38 = 1.0 * 3.8 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.28 = 1.0 * 2.8 * 0.1\n", - "0.61 = 1.0 * 6.1 * 0.1\n", - "0.26 = 1.0 * 2.6 * 0.1\n", - "0.77 = 1.0 * 7.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.64 = 1.0 * 6.4 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.60 = 1.0 * 6.0 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.69 = 1.0 * 6.9 * 0.1\n", - "0.31 = 1.0 * 3.1 * 0.1\n", - "0.58 = 1.0 * 5.8 * 0.1\n", - "0.27 = 1.0 * 2.7 * 0.1\n", - "0.68 = 1.0 * 6.8 * 0.1\n", - "0.32 = 1.0 * 3.2 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.33 = 1.0 * 3.3 * 0.1\n", - "0.67 = 1.0 * 6.7 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.63 = 1.0 * 6.3 * 0.1\n", - "0.25 = 1.0 * 2.5 * 0.1\n", - "0.65 = 1.0 * 6.5 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "0.62 = 1.0 * 6.2 * 0.1\n", - "0.34 = 1.0 * 3.4 * 0.1\n", - "0.59 = 1.0 * 5.9 * 0.1\n", - "0.30 = 1.0 * 3.0 * 0.1\n", - "5.689999999999995\n", - "#26 err:0.6666666666666666\n", - "[[ 0.28677805]\n", - " [147.86017307]]\n", - "[[0.]]\n" - ] - }, - { - "ename": "ValueError", - "evalue": "cannot reshape array of size 2 into shape (300,300)", - "output_type": "error", - "traceback": [ - "\u001B[31m---------------------------------------------------------------------------\u001B[39m", - "\u001B[31mValueError\u001B[39m Traceback (most recent call last)", - "\u001B[36mCell\u001B[39m\u001B[36m \u001B[39m\u001B[32mIn[6]\u001B[39m\u001B[32m, line 3\u001B[39m\n\u001B[32m 1\u001B[39m train_sln = SLN(\u001B[32m2\u001B[39m, \u001B[32m1\u001B[39m)\n\u001B[32m 2\u001B[39m \u001B[38;5;66;03m#np.array([T[0]])\u001B[39;00m\n\u001B[32m----> \u001B[39m\u001B[32m3\u001B[39m train_sln.delta_train(two_features, T, \u001B[32m0.1\u001B[39m, \u001B[32m100\u001B[39m, \u001B[32m0.0001\u001B[39m)\n", - "\u001B[36mFile \u001B[39m\u001B[32m~/dev/NNW/Übung 3/SLN.py:42\u001B[39m, in \u001B[36mSLN.delta_train\u001B[39m\u001B[34m(self, X, T, eta, maxIter, maxErrorRate)\u001B[39m\n\u001B[32m 40\u001B[39m \u001B[38;5;66;03m# if (it % 20) == 0:\u001B[39;00m\n\u001B[32m 41\u001B[39m \u001B[38;5;28mprint\u001B[39m(\u001B[33m'\u001B[39m\u001B[33m#\u001B[39m\u001B[38;5;132;01m{}\u001B[39;00m\u001B[33m err:\u001B[39m\u001B[38;5;132;01m{}\u001B[39;00m\u001B[38;5;130;01m\\n\u001B[39;00m\u001B[38;5;132;01m{}\u001B[39;00m\u001B[38;5;130;01m\\n\u001B[39;00m\u001B[38;5;132;01m{}\u001B[39;00m\u001B[33m'\u001B[39m.format(it, err, \u001B[38;5;28mself\u001B[39m._W, \u001B[38;5;28mself\u001B[39m._b))\n\u001B[32m---> \u001B[39m\u001B[32m42\u001B[39m \u001B[30;43mnnwplot\u001B[39;49m\u001B[30;43m.\u001B[39;49m\u001B[30;43mplotTwoFeatures\u001B[39;49m\u001B[30;43m(\u001B[39;49m\u001B[30;43mX\u001B[39;49m\u001B[30;43m,\u001B[39;49m\u001B[30;43m \u001B[39;49m\u001B[30;43mT\u001B[39;49m\u001B[30;43m,\u001B[39;49m\u001B[30;43m \u001B[39;49m\u001B[30;43mself\u001B[39;49m\u001B[30;43m.\u001B[39;49m\u001B[30;43mneuron\u001B[39;49m\u001B[30;43m)\u001B[39;49m\n\u001B[32m 43\u001B[39m plt.pause(\u001B[32m0.05\u001B[39m) \u001B[38;5;66;03m# warte auf GUI event loop (je nach python Version notwendig oder nicht)\u001B[39;00m\n\u001B[32m 44\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m err <= maxErrorRate:\n", - "\u001B[36mFile \u001B[39m\u001B[32m~/dev/NNW/Übung 3/nnwplot.py:40\u001B[39m, in \u001B[36mplotTwoFeatures\u001B[39m\u001B[34m(X, T, pred_func)\u001B[39m\n\u001B[32m 38\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m Z.ndim>\u001B[32m1\u001B[39m \u001B[38;5;129;01mand\u001B[39;00m Z.shape[\u001B[32m0\u001B[39m]>\u001B[32m1\u001B[39m: \u001B[38;5;66;03m# onehot? -> convert\u001B[39;00m\n\u001B[32m 39\u001B[39m Z=Z.argmax(\u001B[32m0\u001B[39m)\n\u001B[32m---> \u001B[39m\u001B[32m40\u001B[39m Z = \u001B[30;43mZ\u001B[39;49m\u001B[30;43m.\u001B[39;49m\u001B[30;43mreshape\u001B[39;49m\u001B[30;43m(\u001B[39;49m\u001B[30;43mxs\u001B[39;49m\u001B[30;43m.\u001B[39;49m\u001B[30;43mshape\u001B[39;49m\u001B[30;43m)\u001B[39;49m\n\u001B[32m 42\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m T.ndim>\u001B[32m1\u001B[39m \u001B[38;5;129;01mand\u001B[39;00m T.shape[\u001B[32m0\u001B[39m]>\u001B[32m1\u001B[39m: \u001B[38;5;66;03m# onehot? -> convert\u001B[39;00m\n\u001B[32m 43\u001B[39m T=T.argmax(\u001B[32m0\u001B[39m)\n", - "\u001B[31mValueError\u001B[39m: cannot reshape array of size 2 into shape (300,300)" - ] } ], "execution_count": 6 }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2026-10-19T14:43:47.818599100Z", + "start_time": "2026-10-19T14:43:47.681946900Z" + } + }, "cell_type": "code", "source": "", "id": "3696281aa04dcfe9", "outputs": [], - "execution_count": null + "execution_count": 6 } ], "metadata": {