From b4e14a352aac89e0fb0ccbd07eeae0cd24006243 Mon Sep 17 00:00:00 2001 From: Graham Ross Date: Fri, 25 Nov 2022 10:24:34 +0000 Subject: [PATCH 01/12] Added function from hackathon example --- .../_tier3/_morphological_snakes.py | 56 +++++++++++++++++++ 1 file changed, 56 insertions(+) create mode 100644 pyclesperanto_prototype/_tier3/_morphological_snakes.py diff --git a/pyclesperanto_prototype/_tier3/_morphological_snakes.py b/pyclesperanto_prototype/_tier3/_morphological_snakes.py new file mode 100644 index 00000000..25df6fbc --- /dev/null +++ b/pyclesperanto_prototype/_tier3/_morphological_snakes.py @@ -0,0 +1,56 @@ +from skimage import morphology +from .._tier0 import Image +from .._tier0 import plugin_function +from .._tier0 import create_like +from .._tier1 import absolute +from .._tier1 import binary_or +from .._tier1 import binary_not +from .._tier1 import gradient_x +from .._tier1 import gradient_y +from .._tier1 import gradient_z +from .._tier1 import greater_constant +from .._tier1 import mask +from .._tier2 import opening_sphere + +@plugin_function +def morphological_snake(input_image: Image, contour_image: Image=None, output_image: Image=None, n_iter: int=100, smoothing: int=1, lambda1: float=1, lambda2: float=1) -> Image: + + if contour_image is None: + contour_image = morphology.disk(int(input_image.shape[0] // 2)) + + greater_constant(contour_image, constant=0, destination=output_image) + + for _ in range(n_iter): + invert_curve = 1 - output_image + outside_image = (input_image * invert_curve).sum() + outside_curve_area = invert_curve.sum() + 1e-8 + c0 = outside_image / outside_curve_area + + inside_image = (input_image * output_image).sum() + inside_curve_area = output_image.sum() + 1e-8 + c1 = inside_image / inside_curve_area + + absolute_gradient = create_like(output_image) + + for e in range(input_image.ndim): + if e == 0: + absolute_gradient += absolute(gradient_x(output_image)) + if e == 1: + absolute_gradient += absolute(gradient_y(output_image)) + if e == 2: + absolute_gradient += absolute(gradient_z(output_image)) + + + current_curve = absolute_gradient * (lambda1 * (input_image - c1)**2 - lambda2 * (input_image - c0)**2) + + positive_curve = current_curve > 0 + negative_curve = current_curve < 0 + + combined_mask = binary_or(positive_curve, negative_curve) + inverted_mask = binary_not(combined_mask) + masked_curve = mask(output_image, inverted_mask) + output_image = masked_curve + negative_curve + + opening_sphere(output_image, destination=output_image, radius_x=smoothing, radius_y=smoothing, radius_z=smoothing) + + return output_image \ No newline at end of file From 9bae094241b65d7fd17a16a96dae10f5c7ef082e Mon Sep 17 00:00:00 2001 From: StRigaud Date: Fri, 25 Nov 2022 10:49:21 +0000 Subject: [PATCH 02/12] missing init --- pyclesperanto_prototype/_tier3/__init__.py | 1 + 1 file changed, 1 insertion(+) diff --git a/pyclesperanto_prototype/_tier3/__init__.py b/pyclesperanto_prototype/_tier3/__init__.py index 19bd0bc3..5a0d5974 100644 --- a/pyclesperanto_prototype/_tier3/__init__.py +++ b/pyclesperanto_prototype/_tier3/__init__.py @@ -54,6 +54,7 @@ from ._standard_deviation_of_touching_neighbors_map import standard_deviation_of_touching_neighbors_map from ._standard_deviation_of_proximal_neighbors_map import standard_deviation_of_proximal_neighbors_map from ._standard_deviation_of_proximal_neighbors_map import standard_deviation_of_proximal_neighbors_map as standard_deviation_of_distal_neighbors_map +from ._morphological_snakes import morphological_snake from ._subtract_gaussian_background import subtract_gaussian_background from ._z_position_range_projection import z_position_range_projection \ No newline at end of file From d70bc4604906e122ec2669a82f2c916fdacceef3 Mon Sep 17 00:00:00 2001 From: Graham Ross Date: Fri, 25 Nov 2022 11:29:45 +0000 Subject: [PATCH 03/12] Added checkerboard --- pyclesperanto_prototype/_tier3/__init__.py | 2 +- .../_tier3/_morphological_snakes.py | 64 +++++++++++++++++-- 2 files changed, 59 insertions(+), 7 deletions(-) diff --git a/pyclesperanto_prototype/_tier3/__init__.py b/pyclesperanto_prototype/_tier3/__init__.py index 5a0d5974..c29c4e97 100644 --- a/pyclesperanto_prototype/_tier3/__init__.py +++ b/pyclesperanto_prototype/_tier3/__init__.py @@ -54,7 +54,7 @@ from ._standard_deviation_of_touching_neighbors_map import standard_deviation_of_touching_neighbors_map from ._standard_deviation_of_proximal_neighbors_map import standard_deviation_of_proximal_neighbors_map from ._standard_deviation_of_proximal_neighbors_map import standard_deviation_of_proximal_neighbors_map as standard_deviation_of_distal_neighbors_map -from ._morphological_snakes import morphological_snake +from ._morphological_snakes import morphological_snakes from ._subtract_gaussian_background import subtract_gaussian_background from ._z_position_range_projection import z_position_range_projection \ No newline at end of file diff --git a/pyclesperanto_prototype/_tier3/_morphological_snakes.py b/pyclesperanto_prototype/_tier3/_morphological_snakes.py index 25df6fbc..06e18659 100644 --- a/pyclesperanto_prototype/_tier3/_morphological_snakes.py +++ b/pyclesperanto_prototype/_tier3/_morphological_snakes.py @@ -1,4 +1,5 @@ from skimage import morphology +import numpy as np from .._tier0 import Image from .._tier0 import plugin_function from .._tier0 import create_like @@ -13,14 +14,37 @@ from .._tier2 import opening_sphere @plugin_function -def morphological_snake(input_image: Image, contour_image: Image=None, output_image: Image=None, n_iter: int=100, smoothing: int=1, lambda1: float=1, lambda2: float=1) -> Image: - - if contour_image is None: - contour_image = morphology.disk(int(input_image.shape[0] // 2)) +def morphological_snakes(input_image: Image, + contour_image : Image = np.zeros((0, 0)), + output_image : Image = None, + n_iter : int = 100, + smoothing : int = 1, + lambda1 : float = 1, + lambda2 : float = 1) -> Image: + """ + Parameters + ---------- + input_iamge: Image + contour_image: Image, optional + output_image: Image, optional + n_iter: int, optional + smoothing: int, optional + lambda1: int, optional + lambda2: int, optional + + Returns + ------- + Final segmentation + + """ + + if contour_image.size == 0: + contour_image = checkerboard_level_set(input_image.shape) greater_constant(contour_image, constant=0, destination=output_image) - + for _ in range(n_iter): + invert_curve = 1 - output_image outside_image = (input_image * invert_curve).sum() outside_curve_area = invert_curve.sum() + 1e-8 @@ -53,4 +77,32 @@ def morphological_snake(input_image: Image, contour_image: Image=None, output_im opening_sphere(output_image, destination=output_image, radius_x=smoothing, radius_y=smoothing, radius_z=smoothing) - return output_image \ No newline at end of file + return output_image + + +def checkerboard_level_set(image_shape, square_size=5): + """Create a checkerboard level set with binary values. + Parameters + ---------- + image_shape : tuple of positive integers + Shape of the image. + square_size : int, optional + Size of the squares of the checkerboard. It defaults to 5. + Returns + ------- + out : array with shape `image_shape` + Binary level set of the checkerboard. + See Also + -------- + disk_level_set + """ + + grid = np.mgrid[[slice(i) for i in image_shape]] + grid = (grid // square_size) + + # Alternate 0/1 for even/odd numbers. + grid = grid & 1 + + checkerboard = np.bitwise_xor.reduce(grid, axis=0) + res = np.int8(checkerboard) + return res \ No newline at end of file From 4aafb55406815a074c9ce8da8dbbeaf98ab709ed Mon Sep 17 00:00:00 2001 From: StRigaud Date: Fri, 25 Nov 2022 11:51:54 +0000 Subject: [PATCH 04/12] add demo notebook level set --- .../segmentation/level_set_segmentation.ipynb | 127 ++++++++++++++++++ 1 file changed, 127 insertions(+) create mode 100644 demo/segmentation/level_set_segmentation.ipynb diff --git a/demo/segmentation/level_set_segmentation.ipynb b/demo/segmentation/level_set_segmentation.ipynb new file mode 100644 index 00000000..13198ef8 --- /dev/null +++ b/demo/segmentation/level_set_segmentation.ipynb @@ -0,0 +1,127 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import numpy as np\n", + "import pyclesperanto_prototype as cle\n", + "cle.select_device()" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(256, 256)\n" + ] + } + ], + "source": [ + "from skimage.data import cells3d\n", + "\n", + "image = cells3d()[30,0,...]\n", + "cle.imshow(image)\n", + "print(image.shape)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "result_gpu = cle.morphological_snakes(image, n_iter=50, smoothing=1)\n", + "cle.imshow(result_gpu)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from skimage.segmentation import morphological_chan_vese\n", + "\n", + "result_cpu = morphological_chan_vese(image, num_iter=50, smoothing=1)\n", + "cle.imshow(result_cpu)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.6" + }, + "vscode": { + "interpreter": { + "hash": "f7e7e84a546d85c5beef5f7108b3ea7afa16a9e8e3877bd0c0d54e4df90a2b54" + } + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} From a282cdf7ee30cb5e49428d11f870fbc6e4919f43 Mon Sep 17 00:00:00 2001 From: StRigaud Date: Fri, 25 Nov 2022 11:52:15 +0000 Subject: [PATCH 05/12] style: cleaning --- .../_tier3/_morphological_snakes.py | 17 +++++++---------- 1 file changed, 7 insertions(+), 10 deletions(-) diff --git a/pyclesperanto_prototype/_tier3/_morphological_snakes.py b/pyclesperanto_prototype/_tier3/_morphological_snakes.py index 06e18659..195db891 100644 --- a/pyclesperanto_prototype/_tier3/_morphological_snakes.py +++ b/pyclesperanto_prototype/_tier3/_morphological_snakes.py @@ -41,7 +41,7 @@ def morphological_snakes(input_image: Image, if contour_image.size == 0: contour_image = checkerboard_level_set(input_image.shape) - greater_constant(contour_image, constant=0, destination=output_image) + greater_constant(contour_image, destination=output_image, constant=0) for _ in range(n_iter): @@ -55,27 +55,24 @@ def morphological_snakes(input_image: Image, c1 = inside_image / inside_curve_area absolute_gradient = create_like(output_image) - - for e in range(input_image.ndim): - if e == 0: + for d in range(input_image.ndim): + if d == 0: absolute_gradient += absolute(gradient_x(output_image)) - if e == 1: + if d == 1: absolute_gradient += absolute(gradient_y(output_image)) - if e == 2: + if d == 2: absolute_gradient += absolute(gradient_z(output_image)) - current_curve = absolute_gradient * (lambda1 * (input_image - c1)**2 - lambda2 * (input_image - c0)**2) - positive_curve = current_curve > 0 negative_curve = current_curve < 0 combined_mask = binary_or(positive_curve, negative_curve) inverted_mask = binary_not(combined_mask) masked_curve = mask(output_image, inverted_mask) - output_image = masked_curve + negative_curve + update_curve = masked_curve + negative_curve - opening_sphere(output_image, destination=output_image, radius_x=smoothing, radius_y=smoothing, radius_z=smoothing) + opening_sphere(update_curve, destination=output_image, radius_x=smoothing, radius_y=smoothing, radius_z=smoothing) return output_image From a0f022c5cf62094f1b326e59bbfa2d1129c1661c Mon Sep 17 00:00:00 2001 From: StRigaud Date: Fri, 25 Nov 2022 13:40:40 +0000 Subject: [PATCH 06/12] attempt to optimise --- .../_tier3/_morphological_snakes.py | 75 +++++++++++++------ 1 file changed, 51 insertions(+), 24 deletions(-) diff --git a/pyclesperanto_prototype/_tier3/_morphological_snakes.py b/pyclesperanto_prototype/_tier3/_morphological_snakes.py index 195db891..e96ac736 100644 --- a/pyclesperanto_prototype/_tier3/_morphological_snakes.py +++ b/pyclesperanto_prototype/_tier3/_morphological_snakes.py @@ -8,10 +8,10 @@ from .._tier1 import binary_not from .._tier1 import gradient_x from .._tier1 import gradient_y -from .._tier1 import gradient_z -from .._tier1 import greater_constant -from .._tier1 import mask -from .._tier2 import opening_sphere +from .._tier1 import gradient_z, copy, power +from .._tier1 import greater_constant, smaller_constant +from .._tier1 import mask, add_image_and_scalar +from .._tier2 import opening_sphere, closing_sphere @plugin_function def morphological_snakes(input_image: Image, @@ -43,36 +43,63 @@ def morphological_snakes(input_image: Image, greater_constant(contour_image, destination=output_image, constant=0) + temp_1 = create_like(output_image) + temp_2 = create_like(output_image) + temp_3 = create_like(output_image) + temp_4 = create_like(output_image) + temp_5 = create_like(output_image) + for _ in range(n_iter): - - invert_curve = 1 - output_image - outside_image = (input_image * invert_curve).sum() - outside_curve_area = invert_curve.sum() + 1e-8 - c0 = outside_image / outside_curve_area + # define invert image + temp_1 = 1 - output_image - inside_image = (input_image * output_image).sum() - inside_curve_area = output_image.sum() + 1e-8 - c1 = inside_image / inside_curve_area + # compute outside contour score + sum_image_value = (input_image * temp_1).sum() + sum_contour_value = temp_1.sum() + 1e-8 + c0 = - (sum_image_value / sum_contour_value) - absolute_gradient = create_like(output_image) + # compute inside contour score + sum_image_value = (input_image * output_image).sum() + sum_image_value = output_image.sum() + 1e-8 + c1 = - (sum_image_value / sum_image_value) + + # compute gradient on contour in all direction for d in range(input_image.ndim): if d == 0: - absolute_gradient += absolute(gradient_x(output_image)) + gradient_x(output_image, destination=temp_1) + absolute(temp_1, destination=temp_2) + temp_3 += temp_2 if d == 1: - absolute_gradient += absolute(gradient_y(output_image)) + gradient_y(output_image, destination=temp_1) + absolute(temp_1, destination=temp_2) + temp_3 += temp_2 if d == 2: - absolute_gradient += absolute(gradient_z(output_image)) + gradient_z(output_image, destination=temp_1) + absolute(temp_1, destination=temp_2) + temp_3 += temp_2 + + # compute contour evolution according to gradient and score on contour + add_image_and_scalar(input_image, destination=temp_1, scalar=c1) + add_image_and_scalar(input_image, destination=temp_2, scalar=c0) + power(temp_1, destination=temp_4) + power(temp_2, destination=temp_5) + temp_2 = temp_3 * (lambda1 * temp_4 - lambda2 * temp_5) - current_curve = absolute_gradient * (lambda1 * (input_image - c1)**2 - lambda2 * (input_image - c0)**2) - positive_curve = current_curve > 0 - negative_curve = current_curve < 0 + # apply contour update on contour image + greater_constant(temp_2, destination=temp_1, constant=0) + smaller_constant(temp_2, destination=temp_3, constant=0) - combined_mask = binary_or(positive_curve, negative_curve) - inverted_mask = binary_not(combined_mask) - masked_curve = mask(output_image, inverted_mask) - update_curve = masked_curve + negative_curve + temp_4 = binary_or(temp_1, temp_3) + temp_1 = binary_not(temp_4) + temp_2 = mask(output_image, temp_1) + temp_1 = temp_2 + temp_3 - opening_sphere(update_curve, destination=output_image, radius_x=smoothing, radius_y=smoothing, radius_z=smoothing) + # smooth contour + if smoothing > 0: + opening_sphere(temp_1, destination=temp_2, radius_x=smoothing, radius_y=smoothing, radius_z=smoothing) + closing_sphere(temp_2, destination=output_image, radius_x=smoothing, radius_y=smoothing, radius_z=smoothing) + else: + output_image = copy(temp_1) return output_image From b10d04b0fb8364b8d131d12cd281d81b0125ee74 Mon Sep 17 00:00:00 2001 From: StRigaud Date: Fri, 25 Nov 2022 13:53:05 +0000 Subject: [PATCH 07/12] remove smoothing --- .../_tier3/_morphological_snakes.py | 26 +++++++++---------- 1 file changed, 13 insertions(+), 13 deletions(-) diff --git a/pyclesperanto_prototype/_tier3/_morphological_snakes.py b/pyclesperanto_prototype/_tier3/_morphological_snakes.py index e96ac736..f1474072 100644 --- a/pyclesperanto_prototype/_tier3/_morphological_snakes.py +++ b/pyclesperanto_prototype/_tier3/_morphological_snakes.py @@ -51,15 +51,15 @@ def morphological_snakes(input_image: Image, for _ in range(n_iter): # define invert image - temp_1 = 1 - output_image + binary_not(output_image, destination=temp_1) # compute outside contour score - sum_image_value = (input_image * temp_1).sum() + sum_image_value = mask(input_image, mask=temp_1).sum() sum_contour_value = temp_1.sum() + 1e-8 c0 = - (sum_image_value / sum_contour_value) # compute inside contour score - sum_image_value = (input_image * output_image).sum() + sum_image_value = mask(input_image, mask=output_image).sum() sum_image_value = output_image.sum() + 1e-8 c1 = - (sum_image_value / sum_image_value) @@ -89,17 +89,17 @@ def morphological_snakes(input_image: Image, greater_constant(temp_2, destination=temp_1, constant=0) smaller_constant(temp_2, destination=temp_3, constant=0) - temp_4 = binary_or(temp_1, temp_3) - temp_1 = binary_not(temp_4) - temp_2 = mask(output_image, temp_1) - temp_1 = temp_2 + temp_3 + binary_or(temp_1, temp_3, destination=temp_4) + binary_not(temp_4, destination=temp_1) + mask(output_image, mask=temp_1, destination=temp_2) + output_image = temp_2 + temp_3 - # smooth contour - if smoothing > 0: - opening_sphere(temp_1, destination=temp_2, radius_x=smoothing, radius_y=smoothing, radius_z=smoothing) - closing_sphere(temp_2, destination=output_image, radius_x=smoothing, radius_y=smoothing, radius_z=smoothing) - else: - output_image = copy(temp_1) + # # smooth contour + # if smoothing > 0: + # opening_sphere(temp_1, destination=temp_2, radius_x=smoothing, radius_y=smoothing, radius_z=smoothing) + # closing_sphere(temp_2, destination=output_image, radius_x=smoothing, radius_y=smoothing, radius_z=smoothing) + # else: + # output_image = copy(temp_1) return output_image From 1d615cce99b9ffcbf7dfe582ae005c9b3c48aef9 Mon Sep 17 00:00:00 2001 From: StRigaud Date: Fri, 25 Nov 2022 13:53:34 +0000 Subject: [PATCH 08/12] fix typo --- pyclesperanto_prototype/_tier3/_morphological_snakes.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/pyclesperanto_prototype/_tier3/_morphological_snakes.py b/pyclesperanto_prototype/_tier3/_morphological_snakes.py index f1474072..68a1e728 100644 --- a/pyclesperanto_prototype/_tier3/_morphological_snakes.py +++ b/pyclesperanto_prototype/_tier3/_morphological_snakes.py @@ -60,8 +60,8 @@ def morphological_snakes(input_image: Image, # compute inside contour score sum_image_value = mask(input_image, mask=output_image).sum() - sum_image_value = output_image.sum() + 1e-8 - c1 = - (sum_image_value / sum_image_value) + sum_contour_value = output_image.sum() + 1e-8 + c1 = - (sum_image_value / sum_contour_value) # compute gradient on contour in all direction for d in range(input_image.ndim): From 57d65aaf36636c0ebac1568c56dc77c5120855a8 Mon Sep 17 00:00:00 2001 From: StRigaud Date: Fri, 25 Nov 2022 14:04:50 +0000 Subject: [PATCH 09/12] fix power --- .../_tier3/_morphological_snakes.py | 30 ++++++++++++++++--- 1 file changed, 26 insertions(+), 4 deletions(-) diff --git a/pyclesperanto_prototype/_tier3/_morphological_snakes.py b/pyclesperanto_prototype/_tier3/_morphological_snakes.py index 68a1e728..a561ca77 100644 --- a/pyclesperanto_prototype/_tier3/_morphological_snakes.py +++ b/pyclesperanto_prototype/_tier3/_morphological_snakes.py @@ -10,7 +10,7 @@ from .._tier1 import gradient_y from .._tier1 import gradient_z, copy, power from .._tier1 import greater_constant, smaller_constant -from .._tier1 import mask, add_image_and_scalar +from .._tier1 import mask, add_image_and_scalar, add_images_weighted from .._tier2 import opening_sphere, closing_sphere @plugin_function @@ -50,6 +50,10 @@ def morphological_snakes(input_image: Image, temp_5 = create_like(output_image) for _ in range(n_iter): + + # c0 = (image * (1 - u)).sum() / float((1 - u).sum() + 1e-8) + # c1 = (image * u).sum() / float(u.sum() + 1e-8) + # define invert image binary_not(output_image, destination=temp_1) @@ -63,6 +67,10 @@ def morphological_snakes(input_image: Image, sum_contour_value = output_image.sum() + 1e-8 c1 = - (sum_image_value / sum_contour_value) + + # du = np.gradient(u) + # abs_du = np.abs(du).sum(0) + # compute gradient on contour in all direction for d in range(input_image.ndim): if d == 0: @@ -79,20 +87,34 @@ def morphological_snakes(input_image: Image, temp_3 += temp_2 # compute contour evolution according to gradient and score on contour + + # aux = abs_du * (lambda1 * (image - c1)**2 - lambda2 * (image - c0)**2) + + add_image_and_scalar(input_image, destination=temp_1, scalar=c1) add_image_and_scalar(input_image, destination=temp_2, scalar=c0) - power(temp_1, destination=temp_4) - power(temp_2, destination=temp_5) + power(temp_1, destination=temp_4, exponent=2) + power(temp_2, destination=temp_5, exponent=2) temp_2 = temp_3 * (lambda1 * temp_4 - lambda2 * temp_5) # apply contour update on contour image + + # u[aux < 0] = 1 + # u[aux > 0] = 0 + + # # Smoothing + # for _ in range(smoothing): + # u = _curvop(u) + + + greater_constant(temp_2, destination=temp_1, constant=0) smaller_constant(temp_2, destination=temp_3, constant=0) binary_or(temp_1, temp_3, destination=temp_4) binary_not(temp_4, destination=temp_1) mask(output_image, mask=temp_1, destination=temp_2) - output_image = temp_2 + temp_3 + add_images_weighted(temp_2, temp_3, destination=output_image, factor1=1, factor2=1) # # smooth contour # if smoothing > 0: From 501a08388c8121c720c25d1b34641855cb2d981e Mon Sep 17 00:00:00 2001 From: StRigaud Date: Fri, 25 Nov 2022 14:06:54 +0000 Subject: [PATCH 10/12] add smoothing --- .../_tier3/_morphological_snakes.py | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/pyclesperanto_prototype/_tier3/_morphological_snakes.py b/pyclesperanto_prototype/_tier3/_morphological_snakes.py index a561ca77..dfae4fae 100644 --- a/pyclesperanto_prototype/_tier3/_morphological_snakes.py +++ b/pyclesperanto_prototype/_tier3/_morphological_snakes.py @@ -114,14 +114,14 @@ def morphological_snakes(input_image: Image, binary_or(temp_1, temp_3, destination=temp_4) binary_not(temp_4, destination=temp_1) mask(output_image, mask=temp_1, destination=temp_2) - add_images_weighted(temp_2, temp_3, destination=output_image, factor1=1, factor2=1) + add_images_weighted(temp_2, temp_3, destination=temp_1, factor1=1, factor2=1) - # # smooth contour - # if smoothing > 0: - # opening_sphere(temp_1, destination=temp_2, radius_x=smoothing, radius_y=smoothing, radius_z=smoothing) - # closing_sphere(temp_2, destination=output_image, radius_x=smoothing, radius_y=smoothing, radius_z=smoothing) - # else: - # output_image = copy(temp_1) + # smooth contour + if smoothing > 0: + opening_sphere(temp_1, destination=temp_2, radius_x=smoothing, radius_y=smoothing, radius_z=smoothing) + closing_sphere(temp_2, destination=output_image, radius_x=smoothing, radius_y=smoothing, radius_z=smoothing) + else: + copy(temp_1, destination=output_image) return output_image From 5f70a1767a16879571e902c04c684509198c697e Mon Sep 17 00:00:00 2001 From: StRigaud Date: Fri, 25 Nov 2022 14:17:05 +0000 Subject: [PATCH 11/12] ADD: smoothing? --- .../_tier3/_morphological_snakes.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/pyclesperanto_prototype/_tier3/_morphological_snakes.py b/pyclesperanto_prototype/_tier3/_morphological_snakes.py index dfae4fae..85a8f20f 100644 --- a/pyclesperanto_prototype/_tier3/_morphological_snakes.py +++ b/pyclesperanto_prototype/_tier3/_morphological_snakes.py @@ -117,11 +117,11 @@ def morphological_snakes(input_image: Image, add_images_weighted(temp_2, temp_3, destination=temp_1, factor1=1, factor2=1) # smooth contour - if smoothing > 0: - opening_sphere(temp_1, destination=temp_2, radius_x=smoothing, radius_y=smoothing, radius_z=smoothing) - closing_sphere(temp_2, destination=output_image, radius_x=smoothing, radius_y=smoothing, radius_z=smoothing) - else: - copy(temp_1, destination=output_image) + for _ in range(smoothing): + opening_sphere(temp_1, destination=temp_2, radius_x=1, radius_y=1, radius_z=1) + closing_sphere(temp_2, destination=temp_1, radius_x=1, radius_y=1, radius_z=1) + + copy(temp_1, destination=output_image) return output_image From 0ca2926bbc1dd0e8e3c240eae044822c3f17a231 Mon Sep 17 00:00:00 2001 From: Graham Ross Date: Fri, 25 Nov 2022 14:32:26 +0000 Subject: [PATCH 12/12] Added morph snakes test --- .../segmentation/level_set_segmentation.ipynb | 114 ++++++++++++++---- tests/test_morphological_snakes.py | 27 +++++ 2 files changed, 119 insertions(+), 22 deletions(-) create mode 100644 tests/test_morphological_snakes.py diff --git a/demo/segmentation/level_set_segmentation.ipynb b/demo/segmentation/level_set_segmentation.ipynb index 13198ef8..27a9b221 100644 --- a/demo/segmentation/level_set_segmentation.ipynb +++ b/demo/segmentation/level_set_segmentation.ipynb @@ -8,7 +8,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 1, @@ -19,6 +19,9 @@ "source": [ "import numpy as np\n", "import pyclesperanto_prototype as cle\n", + "from skimage.data import cells3d\n", + "from skimage.segmentation import morphological_chan_vese\n", + "import timeit\n", "cle.select_device()" ] }, @@ -29,26 +32,26 @@ "outputs": [ { "data": { - "image/png": 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+t+xdFrNDJoQQoJIFz7MtDAWGSqUSfYebs7Xpa7+hJ6HO10qlEmy/jUZDXnrpJRGZuLnv7u6GjTuXywWbaD6fD/adnZ2dwPiazeaRw8M4D7A+Wj+cDwpNYrQK79CxEgt2hUIh+o22WjzCUSgUIo9HhPq1bmi/03WJh/ZV+O12uxH0rcz/xo0bsr+/H4SEEydOhLVw6dKlIEhrhA1sz93QXDMudVvd3t6OJo0XEiVlULVclD2bAL7zyMLvU5sCvmdmZbWBJzluwDgh0QW41+tJt9sNdq0vfvGLwWX8/PnzQat6+eWXAxMbDody48aN0J6rV69GWL7S8vKyfOd3fqeITK6tef3rXy8iIn/0R38kL7zwgqvdWiF0tD3YL1qWnkXT9GhDYQkSzwFhXRHLz+UOo2pgXzcaDVleXg7f6zd6zkj7FNOjc0fKBoT2FEyPzE5DEnkMSomfs43LYij6t35jCQ38G8my/Xrrwqo/5qOEwp1ueO12W+r1elQfy4aI2pLWGftUN82rV69GNh21e+p3KtAMBoOgVZTL5WAjvueee8Lcv337duTkgwzK25DR9qVt1nriO0tI0P9xTLVskfj4BTt9lEql0IbBYBC00Xw+H4Szer0efpdKJel0OoEptdvtMN9RQUDhQWQi8Kptsdlshr0FjxRg3WeJyuJRZuPKKKOMMspormiuNS6VEjAyOnqNsZTpEXJ+lIZVUkdJBqUq6xCowh4WpozEkixLUZZUhSo/p0PpsVgsRpI72v96vV6kkaqH0NWrV4Nr6/333x+w6hdffFEuXbokV65cEZGJJIU2HW3bjRs35OMf/7iIxDCMandWXyBGr/lpm1BrLJVKQfvJ5/NRWxHS9LQADEyKUIlqNTj+ePAUD7hqPcvlsrRarQguQVgKy0QJ3vLq0nda78FgENJM89qzpHPWyNiD0rMNWlobU8rN3oMN0YU/1SaEAHneDwaDYG/a3d01o1IglKyu8Qhz6bvt7e3Qv6dPnw5eczrXdF6h5ouxPTc2NkJdBoOBfO5znxORiaecZxtHJMEyQVju/fo3k6WJ4b5j2RY1nbYHbWG1Wi2KdarwqEbKV1gU7Xm4LrC+ijYgeqHrYm1tLTzXPL02zkpzzbhUfcWJOytuivg/LyjLNsKEE4VtT1gPhkMsfDflDMI2LJ6cOjk04LDmoxMNN9PBYBCdr8BNezAYyPPPPy8iE4O2noh/4IEHZDQaBePs1tZWFKZFx6Db7cof/uEfisjkugO1q21ubkYwCNuuMECt1qVarUYQzeLiYthUOp3OEWcPkUO3dMs5B69zYYEDo5GzzQ3Pauk4LC0tRdHIVRjQvNF+oL/R7ob11bp5c9Y7dziLA4W2x8o7lZ6FuFkYJD/z7MiYhwWFaflon+12u2EeIEPB8Fi4FlEwE5EjIc5UkCoUCiEahIaOUwh6YWEhjPfOzk7Iu1QqhYDVjzzySPjmM5/5jLRaLdPGJRIHaEaoE+HKfD4f5huGm1K7Jf7G4xOWyQKFKXRK0jZof66srER7gbZ/f39f+v2+6UThnUfU8dAx6fV6QSjGAMbo6JRBhRlllFFGGX3d0FxrXHrgE+PvsUFbiSVPhm4sqVMlCg+esIyhTCjhe/Ag19eDHbAM9BoSmWg86ObtSfSojSHEg9rK1tZWMGg3Gg05f/58OGj4wAMPBMmw0WiEe9VeeumloAltbm6GMtVAq39Xq9Ug8SFUgfXUaBb6d7fbDVAlXnuBdWbtF43YCA9aGgF6wWkb0LljMBiEfNvttpw5cybkp1EXlNDArekZBlLNF+ut36EHXYo8rYa1rFm0Iv4bUYMUGoD5WTAgw4RYTqqOWH6r1QrwXL1eD/MSHTJQo0eYUCS+egPXYqfTCQ4YuVxOSqVS5Hmn47i/vx/QA9SKFhYW5G1ve1t4/swzz8jOzk5Ij9Ayekki4RzXeJZKuGd4Tl34ndZDSeu/vLwcwXO1Wi14Ty4uLoYyW61WaFur1ZL9/f0I9sPyUOPjulh77/Xr1yNY1rp/7rg014xrc3NTSqVSBPcw7suL0FvwlpuuyNGgrpi3ZUtgQryZox1YDMtKz5g51tmC4EQO1XtcrGpLQFsSMmm026Cdr9/vB7X/nnvuCeXcvHkz/D537lzIFwP7djqd6JyN3iAsMlnI6uG0t7cXfne73RBRXduCbeDI2kiWRx2OlWcjwP7RMtFzEPPa3t4ONrdWqxXND61zuVwOfaC2NN0occHzvEnBQkpsa8X5wxH/veMSXh+kYHfPKzBly0JGxXM+JSxqGozivrq6GsYE5zpeEKnegbpxLywsBEGp1+uFMRiNRkc8Q5VBNpvNyHNV09y6dSsIYpubmyGs1Ld8y7fIaDSSz372syISR5EfjQ7DsuF46PxEoYcjeXAfsoDN6x3nON4OjWODwXPR5R1vjVaFwDpDyHsGQ8mWByj2AYbTeiWUQYUZZZRRRhnNFc21xtVqtY6oncz1PckWiWEZ/Vs9ClkDEznqseXlhTAieuTgd+wkkvI4ZKkXtQ9LY+OzFpgHB8y12qFakb67fft2gE7QYzCXy0XnozA2IF+5ggZ21GARSsGxs+qOdcT6e1Cb53HlwVcYiw61t+FwKHfu3AkeWAhToVaE90DpdfKeUZ2N8VoXz9ECxwr7SeEzS+v0UAGtF+aHc8LSznEeczncj4yEWDCkB4XlcpMoGgoNNxqNoD0dHByEfmMtHuEo9EhdX18PcN7t27cjDV/7QklvVEatZH9/P2hl/X4/HLJ/6KGH5JFHHgl5f/GLXzRv3Eb0Bg8PKyFKgU4TSjoe1u3EeOB+PD701sUAwfq/wnborNJqtaLznmziQFOMNYZK3F59ZnnYft1ChXoVt0IkTNZismwH7O2HUAtubKwmY978txUYNwWpYB1msRlYMJDlOcfMCNvD9bE2LLWJad6dTidiasgodOJjSBjeMD3bjQfH6t+erQZtWrO4X2PfKGkavsgR+4O/Vea9trYWfvf7/egYgm4WxWLR9ITUcqyDtJZt0hPIPAbAbbRsssqEONqLfsdz1HtnCYiWLQ3npZUmBSPt7++HQ/KLi4uB8fAlnSgENZvNYNNZXl4ODGk8PjwK0u12pd/vh/rs7+9HQos+b7fbIQrH4uJiGOsvfvGL8sY3vlEeeeQREZkwVT3Aj2GhrD7EoyU4JthvfGTEEqTZRszfKHRaLpeD0IXMv9Vqhf5kkwLCkLx+eA6wLVe/wT3nlYR6Cv3winPIKKOMMsooo68izbXGpRy+XC6bsbhYMrWughA5ejaBDxZbzhOeFqA0i2bBh5lTDh6alo22+M7zSmJjO0o/FrSGEp9CL5o3S5BYF0sbZW8yhrm8ax1SXmdsEObf+renwbKkz+PN+Vn5InylsCgatNGbrVCYXCWPUJvlbIL94GmLXE+GcZBYi+d3moY9EbE/sGyWui0nENbesM48xz1YV58r/KV54zzc2NgI2lO73Q5nC9WRBw8Qq0fqYDAIMFmv1wsOGBzOCJ046vV6aE+r1QqOIuh1VygU5HOf+5zcc889IiLy6KOPBi3v5ZdfDpoM3j+l8xjXouVohWOj/YBekqhFW32rB6t1jpZKpQBpYpgodEzCOax5WXA6Es8JzdMib74eh+aacal6j6o0ehgh8eCLHI1Yrd95G723gVqwBy5qTGMdmvQ2Vn2HNjf0MPLq3el0Qh+wyzhPFpykFjSHNhJt1zRXbd7weDOzgtJyu1NMyfo+9QyfY38qg8YN1LKF8TciEsVk0w0Q0/R6veBeXKvVooOwuBl7sElqUVu2PS0f02IeHoxqHWJFYWIWDzDvkDy3x4MRuV7oeVer1YJdq1KpRNCWBr+t1WohjXqnYsBZTXPlypXQd/V6PYqGjkyl2+2ajHg0Orzkcnd3N5RRKpVkb28vMLWNjY3AxE6dOhVuStjZ2YmC1fb7/SieptUf2ncik/Vfr9ePjCv/RmiwWq1Ko9EI8GC5XA512NvbCzA3XoiKHsVarhUtJ5fLRfPX2xtYKJrGBGehuWZcyuUrlUoYKLYl8IZn2VI8TYfxf+x0TI956AK1BpAlUW8DZcJNk+1leEIeL7lDiZ4ZrCXxoPaFkq1qqtOM/Fx/1uCs/vAcKKzNz9KK8DlrdiwMzKKZ4cl/zJvtPyid7u7uBrdojOzAUSeq1Wp0s6/lFMN2KBY0LM3fsxVZbbU0KSZPKGHnDC+PVH28ZyykaN6VSkVKpVLQrDqdTtjoDw4OAkM4deqUPPjggyIycVPXSOWan6IEKmzoc6VGoyHFYjGK+qDpMZQYRm3p9/uRUwe+29raCmvxxIkTof5LS0uBofV6vSh47dbWVnS2DzUxjCizsbEROTqgVo/PVcPSCyHVqQTDlynz5DJ1DLEOVr/hWIkctQVbtjBv/zwuZTaujDLKKKOM5ormWuNCVV3hGnTxtjB/TqvfWVqVahee5OBJlN67aRCbB0l6Xlfo9otSMNuBGEdHaMmSgNgOZbWPiV39ESq1tD5uG2pIFpRg2UM8jYqJxxDzZ1dw1DQtb1B9rpJqPp8P9hCEA/v9fniu0A3aVKw2MozCbfEk1JQ3IaZBmyqXi/Ccp5khhMjX9VjtseBea0yx/ngZaKlUkkql4kL6qq0cHByEGIKnT5+W/f39oH2gJoTzGpGZfD4fRZHA/eDg4CA6pGt57up4ohedtmFrayvY1TA2Yb1el3q9HuIlLi8vR1o4anNoe8vn8yHNaDQKmlS1WjU9V/VgtefZjG777FWMe6JF1t5kHffx9plXQq8JxoXMCgk7VgfMC+yIk84zGlswk8jRxT4NvhGxbUre5ouQFf7mchCbtmwnnC9O4lSZs2yY3FcWo+DfnD4Flc4y8S3bnObNzghWvpiODc0Wc9PvdMNAWwvWs9vtRnA2um97xO1IQXges8A6eOOom7QF1fF3ShaUa5VpMS4P7sTfGKEfBaJyuRw26lKpFPr99u3bIf3p06dlMBgEWHB/fz8Z6UFkYqdEu1Aulwuw7sHBQVRX3OhxjSF8zGOgtk5stzqeaJnYD5VKJUCAPL5os0Zhlc0YeLMC3qagUWm0DdguNBWkhGzPPurtrSwIIxO9W8qgwowyyiijjOaK5lrjQsjDc8FlSAQN4R4EyAZ+y+CPUhVLFPgdHwy2pFk2hrLmYQUTZckV4SuOosFSmQXx8CFszB+dDjwY0+sPqw89advrd0+698q06sB9YeXHebODishRTXc4PLwNGSVllMj1GzSkW16nXttS9eW+5D7B71J9jcToAae3IMzUvNa8+B2Wi3NcfzNUVSwWo6DMqsmMx+OgId2+fVtu374dBeP1PGIRoSgWi2H9YABr1ko0DUJ4inZ4miYSepOOx+OgGSJqhP3GaBI6EKG2NhqNoiDbGGS3VqsFkwJCinjomte/d+QCf8/iHct5T/t2VpprxtXtdoOdBwfNOhvkTVolj2mk7D1IFuPTOnheiexu7W0sShh1mt8jVMEqeOrcxLRNTjdtj9mgndGCZCyyFgTmy33oQaIWQ0zZezhvHlfOO5Uexw77HWFIzUM3ObV14OWkegGfpsdyPJg5dSSBmTRuptaYWBCi5zGIzJvr460fnEfeHOIzb7qW1calG123242ilKDnnqa/dOmSNJtNEw7DPlCBTCQ+tyUSrzMtSyQOS8ZnIHEeINyJ7vgoAGkeeF4LA2NrPTX8kn6Ty+XCPKrX66GdOzs7UQBh7cNOpxOFyur3+wFuRVucluv1lSXc5XK5yE2ez6JZefF5s7ulDCrMKKOMMspormjuNa58Ph/OKohMDtVZp8FFjh4+tgLmivjaV0pqRLI0FiY2/qP0hWctsD4sHbExFiFJLAclQYZ/LG0BSZ9Pg5nQuMt9gRJ5ymnD04Q4P4tmleI86fG4eVpaZ7vdjrQqbDPCTJzPNGcILtPTnhha5XbeTd9ZRnXOz9OOuW6sZeF5LcsZod/vy+7ubpDqi8ViOBPVaDTk1KlT4bne3r25uSm9Xi9yfrH6A7VeJfRM1t+NRiPS8rDNHIsPx1ehS3YI47WDnoneGVNcv9hvi4uLAWrc3d2NbuJW2tnZkWeffVYeeOABEZlop1rvW7duRR6TSuxVyhoT1hGhQn5nrWNv7h6X5ppxqXuoem2JxFGSGVLhCWQxFM9uI+JvBIz7cn6zEG7uHvRiRRiwGFyq3NFoFMGN3iFbToM2Gc+2h9+wO7xlb/Kee4vEaqO1uDSt1wdeHh4szJuxZcPT3woLKQMTOQy+i7Cq2hlwDHCu6sbquYJ7Ho84ZxmGxXp6AgTOD6SUbZCZmAcrIZPO5/PRbQJWsNh+vx/BXo1GI7i9Y+iimzdvhqgV6r5uHfDGPkDGpvZhZQLIHFCIxKg8CDXqHEeo3LuDi/td2+od7GcBdzQ6DDd2+/btUA4yvvH48KiARvV49tlnRWRyIPnixYsiMok+os8RqtS1gwKDdamkJ8hoHZCs+fFKGFgGFWaUUUYZZTRXNNcaF6rZeihvcXExSCF87QbDZEoo7cwKD07TzBjG0zpY2gSnYaO6EhqNuZ7FYjFIYihZWo4OXixHT7v0DLWsdbKXFaa3tBrPs9Mqx3PIYI3Eavc0iNfSlr00PI9wTPEmboZ+sT6VSiV4xLF2itoGaijeGKSkXO4rbww9rR7Jmu+pbzUv1DYwDd6hJSKRhoB3R1Wr1eBYUCqVwhy/ceNGFFgXNQKe8+hViGuR66/f7e/vh/p4h7BxrPjuK09bZ40etTZEgDztWvNRWO/GjRsmBI/riiHqv//7vw/o1Llz58I1LXjWTPdDq694XmM9se6s6VpetKmzYtNorhmXemQNh8MwoRcWFiLVnj3dGBbR7/gZksWgPCzfYpBYB4s5pGw7KYhH5HDRoKqPiwrTT5soHCcP62JtgBa8Z5EHTaUYBX7HB6VTNhmrbvye+9nD8mctxxrrfr8fBd/FjaBYLIagpwjrYD+pGzS7KGPZXBfNw2O4qfZY77ivWbDyhAH0rMQLHZFw7NE9ulQqycbGhogcRkFX1/Y7d+5EDB/hOK6LdxiYI59r+hSEh27nfPgc/7fWNm/gvJ68YyZWWzg/FJSQcL2o0ITMTsu8ePGi3H///SIy6WMVBHS+esdBkHgtWcI3jg9HXLlbmmvGpR3S7XbD4l9ZWQlRn1GKEEk7SlhkaV+W67K3mfM7ppS07BnsUdpRoz+3wXLV1TwZS/c0Hpb+pi1ET0Oz+kMpdQVNqi+maRFcTxY4MF8+52P1jee0wu/G49jZRTfrcrkcfcd2SbTvcNnTGMqsNgNPiuf3HEUD28trx9PQ8WgKOl1gegxXlsvlAiNfXV2N1u/ly5fD2u50OpFGmgpJZM0lPg+ldVNbGtogrdt7NZ3mi4KEd8u495vH1RNWWUDwjvV4NnKReF4Nh0O5deuWiEy03De96U0iIvLGN75R/vZv/1ZEYgc3rYN37tBDNbjO+NxCk45LmY0ro4wyyiijuaK51rhUMun3+9HdR3rArlwuB8lBsV720NH/LQ82jtmFUFCqTpgHP/OuzfDgHoYKlfhqCdQWGB5krcSS+jzNSKEKL+9ZICbuA4SSkBiys/qAy/HgM2yn58Jrufp79h6eE14blIbDYYClyuXyEahQvQ6Hw2E4OMpSKttHLOnamjtWH2D+1hzQulWr1ah/VNtA2I+JtUn9DqNgsKZfqVSCZlUqlcLvWq0WYg+qt6C2G23WmqdHniaA6w/tbxgDkNuE8K32B7aNvRL1b6yHVS9sA1+Dg9+n0AwLDcD5qfMdjwjp72azKV/84hdFROTNb36zvP71rxcRkc997nPS6XQirR/3KkabNF9Pq+d31n52XJprxoUbk6rDrVYrGHOr1WrkiGA5a6RIv/HOV+CzWeAazVPr7DEUzN8rR//WTYLtIV45TNMgJ52AKViT0/PGyN970Kznvp2Ccr22IaNgRmPZ8qy6puAmq9/wfaFQCGeO2BGhUCiEO7xWV1fl0qVLIjKZuziG3C52ArDalhoHbCe2kW8WsPrDE4z0b4TQMGQTMl5kfnhBZKPRCHDgyy+/LHfu3BGRQ9d2rq/VBo/4nXXGU5mBxaQrlUqwDw0Gg4hZra2tichEMNna2grfpfYZT2CYFWrntYDz0Ts+gn0wGsXRP3Z3d0VE5Pnnnw9nve6//355/vnnj9wMrb89qJ5pmi0rgwozyiijjDL6uqG51riU+NS2UqPRCNJFu92WUqlkuoIzoTTtaQGzGsLxW775NnXoFyUZC5ZSCFDfeZARS6yzuKN68AZTSor3pCyGv6ZpvZw318uT6rwDyAx78juGX7k9qqF4MCbCbGxg1+slGo1G+N1qtSIXcXa2YW0q1R9W/6QODuNv1oz0GR5WR2cKL/Aywkrs1FCpVKL7p9SJo9lsBrfs3d3dSCNIHZew2qRjyFqGiO+0oKiK9tVgMAiejJVKJZgeMJ7heHwYIHc8Hkf7CvYBQ47c39M0fO0HkcND6R487nlEe1r4aDSKvA2V7rvvPsnn8/LCCy+IyETzxfvnLKjQMg14DkbHnccWzTXjws1BF8nBwUFwX61Wq2GDUMzWc332JhqTdeZG8xM5nBiWfcXbqBW+QkY2bVB18/BsCNa5J62XBwt5GwNPQg+68fojBYNYcKDm5U18D6bDvy3Mnctkz0keG698ho+5Xpr31taWiEw2PzyPtL6+Hjbt4XAY5uhodBglYjAYmGGLROJwUixcpcjrN3ZN1/xKpVJk18JNCjdQLh/7U9fi0tKSrK6uhrYOh0O5efOmiExCDyHMhhsr5of9wPPam2OY3psTunbQ+05/N5vN4J5fr9dDhA4RCZE79vf3ozXCTNNiGto/WBerbty33l7F5bLHpSUwMxNX5lUqleTee+8NzOrFF1+M+grnKO4lKMx4Nq6UUHscyqDCjDLKKKOM5ormWuNig7HIBBJUTr+6uhqkXL26ACUET6K2TrBredPOfKW0ACTWvlCK9ggdC1RzQJgJpSpL+9JIBpamqXXl9lj5HReCs9qh+Vh9rXlN05jwuQUdYTs96MjTFlh7xLwwggmOI2rheM2Lnjnic0wiEycFhc/wbi+FhVALQEk5BRdhfTyvM3QKYDgaHRA4nRL2HY+Hno+qVqshtuD6+roMBoMAt127di04BqBHn+UcYmkYrLmntBDUAC0IXsvAftN+7/V6QbM6ceJE0ILRkabdbrtrh+eYt64YfbBQAJ1HCEcj4mKhRZZ2bSEjOAbXrl2TUqkk58+fF5GJZvXSSy+FNAixYrsYQkxB8tbz49BcMy4dYMZdFXbY29sLbsfLy8uRRw0G82TbFbusWxsTLnDvGyZktOz+6kEIvCmwFxJOPEyD+SEsxfYajzmkoEEvjfVNipGnIEAkTuN5eXoQES/Uae1n4npaxySYsC4akkijjG9tbQWvwnq9LmfPnhWRyYFQdqO2Nja0hSFZGwK2Fd2/GeLBOWcxSPQmY1gbDxMXi8UgLC4tLcnKyoqITNbi5uZmgE9brVaUX6ovrQ3dG0ftd0+4sQQ6bacl3PT7/cgMobAhXmSpa96CvZGwP63x86BXJbaJs2u/57LO7xCGxOf6u9PpyKVLl0IeFy5cCGlefvnlSMiw4FElbz5OE9BnoQwqzCijjDLKaK5orjUuixB+0uskRCYSxdraWpBqNjc3g+cQ3kKLGlPKMMrvPTgAiaUNlhg9jcOToLHMSqVy5FyK1tk7qJmCPpk87dQzPFtprbZYTiSeJsZ54Turz738WEvzYDev3nzTsVUOS/aDwSAY9m/fvh0gtHq9HhwWcrlc+Kbb7UZ9zVq4ajh6tQ/WxauHlxd7SeKYWOGOVDvBA9XahtXV1XBPVr/fD+GF7ty5E3kMIuKBfW1B65ZDhvdc629pmrhm2AvXm8u4n+zt7YXQVEtLSwHZ6XQ6R9rjrWXUtHj94WFkC85m6NeDgi1PYtT0vLWiz3WMrly5EtqiV6H0ej25du1a+I0aObaX55jVN7PuPRbNNeNi24tIPFHUXVVkEsNwfX09QBf9fj/g7R40p5OGbURYvkUpF28L8tINyhpcT83W53gPGX6HMCbHwvM2dKVp0JxVN4ZrvHYzpJJifNPqyRuMx+AsnF/LT8GyXt085u31wWg0ily7d3Z25OrVqyIysXFp1IhTp04FKEqFKstWgZuPZUNBSBGhaautFrSGfWAd3Na88CgG2lrUW7DVaoXDxOrVixv3LIKON1+mfY9ry4K92V6HhP07Go0i5q3Mql6vR9FPdIy1HCUuH8v0GA/HGsVvEKZlD8NpUCPXgfPGtYSmh6tXr4Z3Fy9eDO28efNmFCDa+h/z5d/eup6F5ppx4URUwsEcDAahY1utlqyvr0cbAQYA9bBaxouPy6zYBf+42oq+5zI0jbYPA7mm3LVTjDflvoqSVEpr5PZ4Gzm+4/cstaU2OK9eXn2s7/Bv3KjxG+5bjznjd5gnaij9fl8uX74c0rzxjW8UkQmjOXPmjIhMtLK9vb1IUkbplvNHwv5FgQZtV2hgx7ZymCZcFyokad+q7bRarYa1tL29fUQT0frPMo6Wtj1Nc2byxs7TRpl5e+tkOBwGO2WlUgmRMw4ODsJt7Pq9JVClIsuL+Gf2PMTEQ3ysvrEEIFwLKOBqecqwh8NhpH099NBDIjKZT/qcb3BOObFZ/XFcymxcGWWUUUYZzRXNtcaFZEnneBVDp9OR27dvB0+gQqEQHfxEKQAlsdFoFLk+c3n8XMnTkqzfFi5s5YV1YU0ml8tF9xdZNrdyuXwEBuC2MqUgOCTvMGXK5uIRwzkoAXuwpZcHk6UBW1qhJ+nPEtiVf1t11zyvXr0aJN0HH3wwQNmnT5+WXq8X2WitAM3ct3wpqhVUFq+j1/7Qd6VSydQ6sd/0e9W4isViuMup1+tF18mzbRQ1kWn9aGlYHhxtrQfOj9+nXOix3ZpXv98P2mS73ZYTJ06IyGE8w2lReSz7lFdPTzNEDWzW+c/r2lrnFrKE80Xbfe3atQCR3nfffWGsb926JYPBIPQB96+FuLwSmmvGhYtAf6Nhs1AoRB25s7MTBrRarYaBwoHh6BWDwSDCri113rMdpOrME9OCPblMzh/vTlpcXIzCtijhSfdKpRK5985CPKGxDd5ZntQGldqw+LI63PDZdfluaRqMmbLP4d/IHDAf3FTwXiqsNx7LEDkMt7OxsRHOdJ0/fz4SQPL5fGA2eF+SZbxHQQUvQcRxZ1gM57W+w6CyeEeVOgLhPVn6G5ntLPYoqw+ZoXgbrZWnCnfeWaFZBCDcdJm0bfv7+2Gs1tbWIvd+HFsUNi34zhOAU8IO/m31IZIleFrzHu16bLpAu2QulwvztVKpyIULF0I9t7a2Qjq208261malDCrMKKOMMspormiuNS4lNjJaXF8lCnU3bjQa4aBksVgMbruWp42l5rLk4jkSWJqVVX/+Ft+xEVm/RUmGY9thfTyIB43v2IeWk8NxpCPr25Tjhz63PJz4bw965b9TsJJXVw92YanV0/j4OY+95VHX6/WCB+FLL70UxqbRaMiFCxeCx+F4PA5wnMbGE4nneD6fj5x0isViyA9hO5xT+Xz+CAyp9USvxMXFxQhebLVaYb5x5AjP+cYbE9Sy2PuR+9UbU2wbaor4ztOkdH57Thy4RrRvOp1OiPyxvr4utVoteFCiFsxu90jWQeEUMVLAsDe+t5xDMK2Wl9KAED3A+aqRRAaDQfCCvf/++yWXy4W71LR+mt7TgO+WXhOMiyMmWxu9DoLauEQOXcjr9Xq4O6nVagVVXyEqz16jZG3s3mSxfivkZ10q50FwpVIpah8uyEKhEKCbfD4f2lYul6ML4nizsTyZED5gYg8li6lr2mkeRx7j1PTTbAGcxnIT53boZmUxRcwPIVllFPp3qVRyoSzrrjTNA0lh6lu3bgW76/LysuRyuSBcoYceX6jIEI8yK7Rn4llFrqfWUf9WGwb2AXon7u7uSrfbjeBB9kjTPK3NlPNGOBznDsKhnM6bD9oGTOtt7pgeYV7ME5k8Cgn9fj8wruXlZVlfXw8CiI4ntwfXlQUfY78hsXDp2YsshsZHCNisgnnxMRHsA+wbPWbU7XZDW++55x657777Qllq89J6MXyK9b0byqDCjDLKKKOM5ormWuOypDnvt/6Pqr5KDsvLy0HlzefzAU5USRLhuFk8YliS8gyobOBXqZahEZRQUEJGKAclJ44lp5Kx5m0FiEWJSB0/9DdrsZb2kjIie2fZPLK0pVkkbU3LZbLU6UGMxWIx8qRCiRPhN/wfz79gPTGvfD6+Gp7nBJ7VUsh6Z2dH6vV6eLe3txfQAtaIsUyUbvGqee4vrDPOiWq1Ghw68vl8KHM4HIYD+3puCaEkPNxujYsFOaMmgVoNn1GzvP8sRwdMw2Xrc+v2a62bBffzfEW4V9dVs9mUtbW16ECyFTTYcoBA1MULNMwI0jQTBfaz9p/nKYp54T7jOVSMRocHsovFYpgTV65ckYsXL8p9990XvlXolG+EfjXgwtcE48KNFiegpSbjxEPYUC+LW1tbC2kUNsTDmjwhNF+eTKiOY/nWxqaRxBGuse5BwnaKxJtMrVYLEFG5XI4u49N2drvdEHVc80u58mPbpk08D/aw2jAN6uMyUxAtf2PBUd5GpoKA9rXCciITOAQv8ENGrscKRMS9UBH7gSMrcB1x00eb1M7OToAOcXNHDz+ErxhyZm8wZL6aXu1bOo8WFhYiRqp9g67gyrSmHcy3GBjOcWyDdRcdCzC8AVtwoJLF5LzNWOeNJ3xZgud4fHj4f2dnR9bW1kIYr3a7Hc0JXPO4Z6W8cq0+xDXGefO3Vl4i8XxhCN+D3ZFwLaIgPxqN5OWXXw6M69577w11vXXrVrRXWkLocSmDCjPKKKOMMpormmuNS4klF8v4iBKaSHyWBiWpxcXFcLCwUCjI/v5+JHkr8Y3DSpqX9Q4lw3w+HwJ2VqvVSPvL5/PRLc56sBil1FqtJvV6PYK57r//fhGZaIoY0BWvX0DYkM+yWL+1P6c5MDCcx1DpNGkWiSU/DypEUi3XgjG53jiOpVIpaDnr6+tR7DWrLB0DHYderxfy4ysjVENR5wx8Z9UNta9KpSLj8TjAMthP1Wo1PLe0SdS08MC6ziNEBPr9fmi/9oe+QxRgb28vuqoeodRpUr/XVmseWJqTFXwWiR2TOG/rzBtqsEre3LLqiWWq2UFDQN26dSsaNw8e9TRA7AeGFzEPNiNYa0TL8PrXQ0+wHO53a40NBgNpt9vy4osvisjEWUMD845GI9nc3Iy+tdp8HHpNMC4PV+eL1tBexbYe3eg7nU64K2ljYyOyI3E8LutOHYYKvcWB9qpisSjLy8uBWelV7/obYRTdPHK5nBwcHESBhPVA5P333x/cqP/+7/9enn/+eRGZbD58DxkyeQtC5Pozc7AgQEyfsmkxBDkLpWBDEYkEA3yHULL2c7lclmKxGOZBp9OJbD0IgyDp/Voiscu4upZrGvaksrzkeEPQ8i9cuCDLy8shj+eeey6yN2F7cKw4+jduWJqmWq0GpqoXrOp8K5fLgZHhukCbFnucsgBjHbGwyIpCwhAglsNk2TPVRsYBgTmNRQzj6e9pEFqv15Nbt26FNbe6uhrGim+eQMgZ1x/bZNE84fWHZ4vjemI53vqxnlv5sZKA6xz3x0uXLgXY8OLFi2HNXb9+Pcy9aZFGUvSaYVz425K2eIPUsyhKGEFdzynU63VZWloKE0YDbIrEkjafQUJiaVDTLCwshPA+J06ckFKpFN0Iq0Z6dK3t9/tHpFyc1HrdwLVr1+R1r3udiIicPHkybEq3b9+OJk6v13NDGHkG4ZT0xmn1NxvCj6NJicS2CdaE8DdqDsViMWgYuBnjRsaaw8HBQVRPTYPBmrXdWm673TY1LrQ/DodD6fV67sZineU5ceKEXLx4MeS9ubkZ5isyLuxP1ZBwXJDB6WaI7czlctH1FNhOdHfG54w2WBK+RZ5WoemY2CmD2+Ydq2BnIIt47qXmorXp69xRarfbYXxOnjwZ1i/eYo1jgFq/1psjx+A7LdOyD+tvz86I2j62x7IR4ze4Z1q/9W+tY7/fj+y6X/7yl0VkEhrq3nvvDW3TwLyvhDIbV0YZZZRRRnNFc61xsQrLz1PqL0MqKO2g5rOyshJsUajx5PP5IIWmXMEZolleXhaRiQebPt/a2pJmsxkkNna797z12LMRIxkoplyr1YKb7vr6urzlLW8JUvTVq1eDdonBURGq0DalPJ24nvw+JaHjd7PaHJT4yo5isRjgmkqlEl3DoWN1cHAQHTBHqRmvDsEYf8Ph8MhYW9J5qVQKf/d6veCpWqvVZDAYhH5nqRm1SYRrC4VC0PrYgwzbgPVEyRuhcfYmxT5kCR+vqkdbjeUpp+8syd3SvrBunjZkHWa2CNeFBzV7ruDWZaCz2l61bERv+v2+bG1tiUgccxLjh+qYWvljX+HehLAl25u9Ix+8JllDx/pY6IfVXiSrb7R87ZPBYBAOZF+5ciXY/1ZXV8O6xf3nuPSqM67/9J/+k3zoQx+Knr3+9a+XL33pSyIygb7+9b/+1/I//+f/lG63K48//rj8+q//erg19TiEKr511oPJu7mWv+HBVTfpRqMRNrSdnZ2IiSHGrvmLTDYzhQQXFxdDPRH6UZuJZcRFQojKsuvhOSH93W63Q5rr169LrVYLNrzz58/LuXPnQn00XItOOM2L62UxIV4EHnmbA9sF8Z3lKq3PFQ6sVqvRkYB2ux3a0ev1AuOxjOVYLtodldEg3KPhhHC+4Vk4nBP6zcLCgqyvr4eNjaE6rIvW8/Lly3LmzJkw906cOBHu8GJHD84L5zgyRQtmU+gU64ERMSw3Zv3bGufUOPLYW2uWbTrMlNi5AdPxN9o+a53z9x5MhuStTxXO8PynOnhtbW2ZAoMyHZ7PVtvYPMCOTyJHYUMW3rHfUCCw1iNDp7P0h5aB+6AKPZubm6FvTp48Gc7Mnj9/Pszp49JXBCr8hm/4Brl+/Xr492d/9mfh3U/+5E/KH/3RH8nv//7vyyc/+Um5du2avOtd7/pKVCOjjDLKKKPXIH1FoMJisSinT58+8nx3d1f++3//7/LRj35Uvvu7v1tERH7zN39THn74YfnzP/9z+bZv+7a7Ko+lVkvrQglVxA/WysbuTqcT3i8uLkZx3FC6QKMk3vWl0JXI5CS5allo7Oa6WfVW8q4YQQmJPQQRejk4OAjSz9WrVwOksbq6Km94wxtEZDJOCnG02+3IicODflDStiAiT7JjaRKfo7agVCwWQ9/WarWgAauzDV614R20xnwZYsFx9DQH9iZFrQQhGXSsKZfLQXsaDocR1IeaEo7ht3/7t8s3fuM3hnY/++yzIiKRU5HVd0oIXaLmgn2rUj8eucDD69gf7OCEZU7zJNQ+tO4HszQq/G1pU9OgQdQolVhz8ByQuA1WezgvhJNv374dNK5SqRTmAUONnDfuO1Y9tZ8ZrtZ3Vl7WeGB+1vrjPDxnFUtLRY9DhJn1+fXr10M/4d54XPqKMK7nnntOzp49K9VqVR599FH58Ic/LBcuXJBnnnlG+v2+PPbYY+HbN7zhDXLhwgV5+umnj824rI3FgwCZmXFUbWuRYHgokZghVCqVsOljGr3zShfM9vZ2wHE7nU40UXCj9xYY2wwY/7cmOC9qhh20Xa1WK/ze3t4OE+nkyZPywAMPhOfXr18P7r0IaSLzTlGKic1im8RzUysrK4FZdbvdAL91u92obgyj4G/uH2vjZxufRxyiyIJher2ebG1thWDHS0tLwY6K9kxklhpuTO2r+r+2DQnHnTd5yxUcI2KgR6TWQdvO0TGULHsQHgOwhBT2mMN+8zzqUkyIybL/Yvlcn9Ho8J4sFTZnceO35qve/6VtuHPnToDjFxcXg6DBcCvvO9aatpjOcSB5HY+UUMnEjDwF97LSYKXBOYRrVgXou6FXnXE98sgj8lu/9Vvy+te/Xq5fvy4f+tCH5B/+w38on//85+XGjRtSLpeDzUfp1KlT5iWIShiJWiR2S88oo4wyyujri151xvXOd74z/P7Gb/xGeeSRR+TixYvye7/3e5HUeBz68Ic/fMThQ+RQa+KzORbElJIyUAIVkSNSkKbtdruhnIWFhQBZnThxIvwuFoty9epVeeGFF0RkwmQtA7d1/YMl2aRgUGw3Sm/WeS/9ntuH116oZqlBQ0VEzpw5I4uLi3Lz5k0RmRibVYiw7pfiuljalgc14De5XC44WuCZt8FgEO6lwphwlrMK5p0qk/sY62HVD4kN6VZajRGpziLVajVo6xg8F+u5tbUlv/d7vxfsw1/84hdDu1P1wQPRfN8a1hn/xjR4BT07Kikp8mD1jyeps/MSk4UqMKW8DBl2xD5AZxWMgoOHfDENQ264t1j9yX1xcHAQXXmiGgZeKcSwH3ofczxBRlI8ZCWFOnltw9+M8liozyx5Wd9hO9H5527pK+4Ov7KyIg899JA8//zz8k/+yT8JF5Gh1nXz5k3TJqb0wQ9+UJ566qnwd7PZlHvuuSdy98VBtRgATzj0srIObFrE3nq6saLr9IsvvijPP/98FB7Hw/CZOXnuvZY7LwdHRS84kfhUuueV523SBwcHwcNwb29PTp8+HcJJLS4uBk+g/f19F95jCNH7DrF4jnaggs7JkyeDlr29vR257TP85dnMsDwPPmJK5WVBRt7zXC4XCRMIx+GxiG63G/I/ODiQz3zmM6FPOp2OGf6Jy/GYNAeyRZhLgzyLxBeSIqNIQVb8PmXjsuxVzFRxTiBZcD+3kyFC9sS17Gq6SR+nPQzh5/OHl0wWCoUwX0+fPh3mMY6v7guWhyATMzuPLGGX6+8J8Gyj5nnM9kDNa9q65jYgnJhqyzT6ih9A3t/flxdeeEHOnDkjb33rW6VUKsknPvGJ8P7ZZ5+VS5cuyaOPPurmUalUZGlpKfqXUUYZZZTR1ye96hrXv/k3/0a+//u/Xy5evCjXrl2Tn/3Zn5VCoSA/9EM/JMvLy/K+971PnnrqKVlbW5OlpSX5wAc+II8++uhdexSKHJUmVRLDEEAs7XnSHKbRUDiWofHg4CCCAFXaunz58pHwOJ4khWGmWBKyJDGWmFHjqlQqIY9WqxWgz8FgEGky7BGH0AlKT3iG6dq1a0GCPH/+fIBFX3zxxWB4Ro2CjbQsEXuwkrZZvTIVrmw2mwEm6/V6UXq+X8mSGqdJz0gexORJkJ7jB0M8CFOh5i5yeJ1KqVQKmnI+P7kLS8crZVTHPuSbjvGONww3hNLuwsJCdOYNtUqE02aRkLGdfE6JyXLUwHFjLY3fWdovplPyYGJ2BElpbpg3l2FpgrheFF1SD139xvKwxPpwmdxubltq7qcQCH6ue4HnZGOhUgwfelof7nWzOHZ59KozritXrsgP/dAPyZ07d+TEiRPyHd/xHfLnf/7nwT30l37plySfz8sTTzwRHUB+JTSLhxN7yuh7kdhrLZc7jCfGqrkePhWZbDL63c7OTthYR6ORlMvliEFYtiAux4MUPWhP3ZYxogNGgbdUc2WiKa8vpsFgEEWb6PV6cuHCBRGZBPNVW54G8NW6cf2nYeQ4iavVqmxsbIT2bG1tRXi41U960BThJ+sQZ8prDeuBHqT43FqYln3VgvMsiKTdbodvV1ZWwnGLdrsdeRUyLKoeWSjY6CbvHVFQws1HI3pgAF3L5Zzha95Acby94yjehomHhBmiwnZz26xyptl3pm3aqXcpb1R8PxodHiRvt9vBW1cFPpHDOKHW+DBh3+AcZ/ubl9azZXG7WaC0mB7OKc5nVugP96O7pdx4mgj6/0NqNpshmrpnw+LfIpMOYxdYJdbONE80muIZIhGJbBOqeRQKBWk0GmET393dNaPI40DrgkxtepoG24Y2Pj67hU4LXkRqzg9tBrzRYx/oQrx48WJ4/txzzwWDNG5yXuBQq516lmhjY0MWFxfl5ZdfFpFYu2WtBvPActnZxrKtaLs9spigahE4RywbYmpT5M1df9fr9SAUqBOK/n3mzJmQz97envzN3/yNiEzmlyftssEfXeC1ryuVipRKpaBx7e3tmc4Z3B7eEJEsLSDFGLhvjvuOx9ezc1vt0GdeXVMbvTWuIhKF6jp//nyw31+/fj2sERUGUQv3iAURzxlolrHyxsFyirHmspW31g1DpjHiwOMjcnhOdnd399jmnyzIbkYZZZRRRnNFcx1kF7UUS4JFaUklZcsTaTSK77/xIAC8lqRcLgctq9VqRVALusAzvGJh11pPtEshsa1E06CEw7Y0y4VXJSRLkkLsOQVZDgaDIDV++ctfDtcVPPzww+Her83NzUjT8iQ+1uxUC1hbW5M7d+6YF32m4F6Ej1irQniFJUtLA/MkYNXULdsNS6YpGMfSIDudTuSN1ul0QizJN73pTUHT/fznPy+f//znQ7u9oweedyraRtWj0IJiWYtH2BfLmuZ9iL+9+e+lZ2kd03o2JiRez9g2Ky8m1kSwTMueKRLb7JrNppw/f15EJvNaNVtei5if12ZPI9Q0lv2N03jrxyrHspkxYb4pOx3DkNyO49JcMy4ldnn11GJmdNagWQZgjO6u5296vV50wy3aiji6sze4vHA9gyy2kycAn0VRwj7wIBH8jsvEcthuqPVst9ty6dIlERE5d+5ccJkfjUaRzY+ZKi54DCyq0dQLhYLs7e1FwoAH9/Aza0wRFkbHiFnhK3Zb5m+t3ym4yUszHo+D7Wp9fV2Wl5cj5wydewsLCyazYhsX5s23PqvtrFAoSKvVMhm2x7xHo1F0BEQkvhcuNT4elGrND4Q6re+sNaLM0RLCcL6l6oa/+XtrA+b24Bh0u92wFhqNhvudZU/lb1LEfYFCE8O61hikBHb87R0D0TVi7XuvhEF5lEGFGWWUUUYZzRXNtcalHB7VeU/SZQkpdR8Xw08qnS4tLUU30lpBJLUOapzFdyjtl0qlIweOp6nWKQcOfIdkqfCeZmE5Z4jEUQa0X0QOr30XEXn55Zfl4sWLIjK5HeC5554TkQlUonEEtQxPUl5fXxeRw8O2Xn3YqQTrn5LCte2edOr1oQWTWJrXNCeAaZq3enCKTIz3Kysr8uKLL4rI5OD3Sy+9JCITiFa/Y88shKkYSkZHAB3DRqNhBny2+oBhMnb60bZ40v0sUjhqRYhiiMRr03K8wvTTIMnUQWeG3bxyWFOzILh+vx/g3/X19eCEoMG7LeiR65Jav1aZ1ppPaYdWe7zxScGGnDemmQatH5fmmnFph/CdO7N0Eg8UMyt9ji7Jg8EgxFTc39+P8H9mNFqHpaWl8Bujl3M7WC33ziDxBPTsWthOdH3GjQ0vF+S+YqaOECt+p8y71+uFTfbee++Vhx9+WEQmDO369esmU8Z+qlarwWPzxo0brt2E4QmEwtAmk9oYMS8PCmKyPAyt/Ly8LBhKv8GNVRn8nTt3ZH19PURg+ZM/+ZNQbqvVCowrxVQ9mx8HBhaJI61g3SwbigpjFvPGMcG2sq0z1T/eMw7Ma230GhFf88br5Nn2w0zVO7fnMWVsB+4hCJl1u90QZLvZbIYzXRqZxhLCrLViUWpv4G8884nF1Hl+4H5k2fuQrDFBj2WErF8JhJhBhRlllFFGGc0VzbXGhZKNJdGmHDX4mQXd5PN5aTQawdttf38/ut5DCWETlkJ7vV4wZHv37KRgFE8zzOVykWTkeZehFM/Sl0YGwWdWH2Ed0NGC+1/75tKlS6HN586dk4ODA9nc3Az9Zt0IWy6XgzSmWql1hTvDK0osJc5i1Nb+9M5rWZ6hTB4kgw4hltRrjSnm1el0pN1uh4P7X/rSl0L/esQwDkM0ODe1jzVaB46F1e+ovaHTjNUea/3xO88LDokdJDyNCfPVM1SqQVpRaTR96pnlmexpYjx+3Ofa13t7e+H238XFxeiuP4R1sUyMdqPwJu5P0xAG/WYaguONgeaB8xqfc9s9BMA66ziL04lHc824dPKnXDUtiND6jYTRMTAA6Xg8juwEXBf9JpfLRZEmrIWMMB3DK/ot5ofP9LcVBcKqG28q0/B7i5SpeDCXyOGkbjab4fDwxYsX5d577w2LD68yF5HI1qJ2wW63G0VwSG1sDHHgotB3bPNAsuwBmt5rZ+rb1AL2NlAcX+0bhZj0cs+lpaUoKj8zbZHDUD04DyyGhHDNYDCIYEKGvb128jyyIGdLAPPsKCnGh39bjJj3AIbesQxr7jO8b0H/SiiMsKBoCY7IXLa3t4Nn6NramjSbzQC1Y8i1UqkUeRsy07EYLEO5XH8WeDEtt4eJ15l19Ii9CpGwbZ6967iUQYUZZZRRRhnNFc21xoVehSlPFxEbGkDOj8FI8dZZPVMkclSy9q6Z8KR1/I0QhkqMKCWhlIVwgCetpAzfDINqW1HS9vLWZ5qmXq8H6HR7eztIoBi+Jp/Ph4OWL730kpw5cyY4azz77LPBMI2wY6PROAIjWf3mGa6980uaZppxmtOgFM93p3kw5DTvTYRVLNgQvxmNRrK7uxvm3pkzZ4KRHz0ErbMz3vkb/e7EiRMBylXnhWkarQUHenMM25+Corz0CAXjvOYyLO1nMBhEt0rjOPIawXYipeaSVT5rWt7c63Q6YTxPnTolOzs7YUzRi9bSkjEvrz6eJyVDrKwl6ffeHsrjZLXTcwzTZymTzd3QXDMuJA9Om4VwMOr1egh0qndcqW0B1WzeDD3sGAeNPXJSDM+KWODBhkypzRAxcw8mYziG7TDYB1b0cHzearXk+vXrIerD61//+uAe3Ol0AkNcWVkx4chU22Z1FWa4hyFVayGzXQ3z9zZ6K09MZ9l3Upt3u92Wq1eviojIG97whuCRduvWrUiY4fqnGLjIxFaLcCFu/LMIA7lc7ohruvWbIbYUbG/Nd5HJGsSI+RZchnlzOzy7VOoZ18ESbizhw2IcvC507q+trcl9990XxvfOnTvBg5Q9atkMYdnCkKx+nnbkg9OkhLMUhI+2MMtvwLL93g3NNeNCG9csEiNPRnRsUPtKo9EIGle73Zb9/f1oo7cWeKpcJnRNx0XgGdIxL14sHCgYmYi1aXsGWv0fo1iwQ4dqlzs7O9EiwA0H7TtYl3a7LVeuXBERkYceekgeeOABEZk4HKgLfKVSCZqcurZ7fa3tsTZD76oMbi+SpaGgaz0byEejUdj4Z2FimkdK+7BoOBwGp5adnZ0QOmh3d/fIZoZ1m8Z8W61WYII6hpaRn/sQBYvxeBwxP/0ObxPHdupYIfPGPrQ2ek2va5PXuWWr4fz4ChdkgrPYMXmtWEIOtxX7kR0TNNrO7u6unD17Vk6dOnWknFarFf5O2Q49JALzY60VyXKuwLw8ARLL5zN2uIdYzH8aMjYrZTaujDLKKKOM5ormWuNC8iAalopUekOprFQqRZf5qffW/v6+K8nwoVyWbi0YhG1kCCFY2haWx+0ZjUbhsKV+h3CJFUnEytPCnlM2Ib66QH/3+/0I88foGrlcLmgOlUolaA5nzpwJ0Emv1wsal3Wg3IJxUANm7YrhTcurKgVJ8piwt6CVN6fntNO0aCxTNRediy+//LLcd999IhJHu0CtN5/PH9EwrL7SfhaRKKoJE2qJrMXj36gd4/VAqJFxfXBdFovFoNHj3GOtw9Ks8Dt9xhc0Yv9r2xFh0LWMaAimR63G0nR5rWBeXF/9tt1uy507d0J8zlOnTkXohvYHa0KeeQHnO98lx/CvB0/jeE67SFWfMxyM7zyzzSuBCJVeM4zLgjR4gPAeIhyYRqMRbtvd3d0NWLNe8oeT1dqkvLMiWh+c0JbRmIPQeswKy9eJYdkwcHKmIBGsM244fK6HJyf2tWfn4DopRHLz5s2wWF/3utcFt/lyuZw0AluwHxuUPVsLO8LwbdmW3QMXP24YzPQ4gK8SwzgedJJaxDhHd3d3Q7DW9fX14PzS6XRcl2TvuATWw3LOsOqJm5SWoX9XKpXodmVMy7AT/q8wMQt5ntDCNi5Mh9C2B43hd1zXXq83k/DLtx5wHZWwzpoGo3ioDVP3o3w+H/ag7e3tUE9mop5tHef1LDY6fs51Z3urBU9a3yGlBEPr++NQBhVmlFFGGWU0V/Sa0LgsSEefo/RZr9fD+263G7SMSqUSoBeNWCCSdj/l556U6BltMY1KUipdoTMASnZWedhelLj4mnAt25JoRWIXayaUnPv9/pHbhbVMy2jLbeh2uyHe47lz5+R1r3udiMRG9EqlEiBE7jNPetR3lvGXJXULSrP6AzUpljgtrROJtR2sL88PJJT6sd97vZ7cvHlTREQeeOCBcJD15s2bkVTOGjg6IGmd6vV6mB/aHnWP96Rodt5B54xiseg6wmA7WXtQLZxRDcuJSAn7S8vHe/L6/X5UFh9+1TZUKpVwDU+tVpPPfe5z4Z45RkOsOY514TH0HIZEDtdit9uVYrEYPJZXV1fDHoT7kQfjKlnoRqpOnknCWjfefLXgZ0a5uK+suk3TyFI014yLPbX0f6uTReLNuVgshsWbz+fD+YpOp3MkeC7mPUvEcvyb4S+LOSgOj4yHNwkrDTNPCyLK5/OBQXMgVUyfYsK8ceMFjx5TV9KNQ9uNEeUvXbokb3rTm0RkMrGvX78uIpONJIWRI3mT32NiFpPx0qdsjZ6bOEKKOIZIDH16myGPg27029vbcvLkSRGR6N4y7WevXB23hYWF4DmL8LlIfMlkPp+PQpwhVIiQFUbf4DmJ3piFQiEcNTk4OAh5cyQPrTcfj2C7MpaJkCTuCwyR4vrVuiwuLkq1WjUZqeahZHkVqss+zgO0N+GYap1brZYUi8WwNkulUnQMR8cAz6TpvpASMPU77DMPzsM5xiYNFiC8dYYMy1ujvIdae85xKYMKM8ooo4wymiuaa41rGnTGEgV6rlUqlUiqUWkLz1dpepRo0fMIJRwsn89BeVoNq9XT4BZ0OGApiJ0B8Cp2JkuC9DSKFAzilY/v9DlKXNrXly9fljNnzojI5Kp6lT4R2uQ+SMELfLjRctRISaz6XiTtcDOLps3E534szc+CydBBRPO+detWkM7X1tYCrKQwmQWNiUh0bgqdDGq1WigXz9OhxyFqCzo+mgeuGW4PznEMfot5szaHQXytea71YXgQCettecGORiP50pe+JCITDVShOyxX+2wanM7l41hz/XU89GZkrWetVgta9KlTp+Ty5csiMhkPnAtYN4Zfrbk3y5VP3jvLC5bXuAcN6jP9DvemVwIRKs0149IO8TqQITeE46rVavh9cHBw5MAt5o9us9ZgIukmaUEV7L3FA2tBIlwGumWzfQUZrOVZaU0YD+f2GBr3L+adgsywP/TdwcGBfOELXxCRSfBdtJlwPyHjs1yAc7lcFBCZocJZ2iMSb3ge5Iz5paBHfmfZBhAKtsrEv7VtBwcHwd519uzZYA/c3d2N2sPtV2a3urp6xOMSvduUEbZarQhexstAMXi0B6tx33a73ZBf6sgFR1bwYC8rWDNDvEw4P7QuxWIxYlC9Xi86zmFFekgJQOzZ6Ql0g8EgCuOl+Z89eza0YWtrK4yvBTkjs/UiUrBdG8kzsXA5HtSHz7l91m8r/7uhDCrMKKOMMspormiuNS6llDSBMJt6FopMPKsUssIAlwiveDAF/8ZvVPJBBwbvQCjmhVqa55Ch70QmGmO/348C/VrndPg3QxqYbwpaSxl4uRz+hu8aUkhwMBgEp5hutyvr6+uhfD6LhlKeZRDWfva0QTzEijAQQy+W04SlZXrhlFKEdfC8uPi5Nf+w30ajUbizq9PpSL/fN2GycrkcDtkvLCwEjU3hJ5Xq8b600WgUhUhCjcvTNjzIWeuD42jB+9aZMtSq+W4qfc6hhzA/SzPDOdntdqN06IGZz+ePeOVqHzAsbc0DnK+e5iUycbK5dOmSiIgsLy+Hw+arq6vB23Fvb0+2t7eDUwueC2MnEGwnxnvksj2oD+cOIkBI1nVB1nceGjOro5RFrxnGZW3a6KZbLpelUCgEb6p8/jCCOV/vjR3K8JO1mXJd+MCrBy/yJmUdTrbea1o+pItkYcoW4/IgL8sup99ZUQGwTMsmhflYGxH+1ru5vMWWslEp8cFr69iAMmQL6sKF7F3S6bXVqosH+3k2WfYaZcFCN9Pr16+HSCQnT54MDEnrpnbchYWFEOi42WxGAV0RwsO+RTspRv9P9QETz0Nvo7QYmiWM4KZnwfEWLGbBvwj7awQaFK6w3zGSPgqXmu9oNIrgbdyP0DyBe4YyaCwTA1OrMLK0tBTKXFlZkXPnzsm1a9dEZBKYF5mYfocRdQqFQgTr8th4z7WPuN+0HdoGTIMQOOY9i8B/XMqgwowyyiijjOaKXhMaF8NYLMUqVSqVAFPt7+9HnoSeRI0eU55Wg+9YkrTORzB5Th78DiWadrt9BFbxQtZ4xNqGEms0WK7npWQ5Peh77lMsUyX9crkcJNulpSU5f/58kCzb7bZ77YUntXnOHfjOar8lTVp9NIvDTao+1lXmFiRppUf4q9lshnNxJ06ckP39/QAjFovFAI2fPn06HFre3NwMaTqdjgwGg6BdIVrAZ6CQPFgWv2UHDA825H7z2s7zztPSkHAu463jVpmWMw/OXwx3hgfx2auSYUw8KK2OL4oc6HcYdOD27duhnJ2dnTA25XJZ1tbWwt12nU4nhEy7ceNGyBvDt+mcwsP0WFd8jm0eDAbmAXzsN0adUhqctcd93UOFSNhJeKK+UCjI0tJSgEj29vbcU+kIJ1gQk1LKNZ3rxM95crMLrXf4FcvkMqzDkVxfzttT+zENtw1Py1tMzLPhWG3RMWBY6sEHHwyb7vPPPx82WpGj9xVxvvq350mI5DFvTMfRF1J2KExrMQD9ftZNm+uq3+t3/X4/RCIplUpy6tSpiMmri/X58+fDxra3txf6U21iFhTLY8W2CYspef2ZapcHiWp/WHZUbzPVuuhaRe8/nLtYjnoOerY0C2rn9csmAYQKsY7oBejB9u12O4zp/v5+tJ/t7u4GePDcuXPyLd/yLSIyYXZ///d/LyITqBGh6EqlEtJ40DibHby7A3FdMVzL8xfbxwGNcczuhl4TjCslLWGIF8Sle71eNPEw5A1OQIx6rs9EfE0shf8zc8I0vDl6jATzxYWUkl5SEwQXqJeGbW6WjYuNrmxrRLycF4XWQzWsSqUiS0tLcuHChVDeCy+8ICIS7JJYd6sOKe2WNzxPq8AFltLAcGPxxiElTKQ0ZN7c9Jll79rd3ZWTJ0+Gu7YGg0FweOn3++Hm6WazGdlnxuNxZE/EduF3s2i3nrHe2tjwG2se8/piG6BXF7adInmOUv1+PxwJYBukzlfUshhJYduvdZ5Q7esihzc1o+OHll+r1YI9stfrHbkJQO2YpVIppDl79mwI0nvp0qWgiel5OXRo8iLHYx/heTpes5atU/cIa0/EPsR3mY0ro4wyyiijrxt6TWhcrLYjKd67sLAg4/E42LU4thgGtWVVeBZJc5odi995GL3VBmwnls3pkDyPOk8iTsGbnm0BiTUXhpWwTdZp/3z+MC6eiMiLL74YsPyNjY0gZaLGlYKVrDZ5hF5U6AGmeacOyzL0gm7IrJl6Gpw1Bql5h9+ORqNI46rX60HjQs/Z7e3tcNgVo1awXRShHNZwpsF92BalWewYOG48jzzkAREKjnZjaQecB3v4Kbqi36ALO/aRdcBdtS3NTz2Y9Z0+X1hYkEajEdq5t7cXtKl8Ph/G7fz582HfqlarATZst9tRObu7u0EzG4/HQft68MEHQzlXr16N1gxq1qh9oeav7bS04FKpFNn5sF9ZA/PMCJZ2f1x6TTAuEXuzLxQKIZBurVaLVHPekHVw+IyKB/VxmYx3W+lFYjuFd36FNwk0tiIEknLOsKAtPZ/iXQee2pgsLBz7ANttGcEZMsK02i78ptvthgWHF33euXMnct22mDkTQxgpJuQFQeZ+wL9xfliwoY6HBWdrOzQNtsWrB88dvO+p2WwGV+pyuSxXr14VkUkEBgyx5NlnWaCy2m3Z6Ly14BHbhCwBh/PFvFnwxHqy0MAMT0SOOEawLc2C7XEdYp/osRsts1wuR+GwUChACHJxcTE6W6fOMxiMeGVlJdjlFRbGsFF6/q5arUbz6NSpUyHfGzduhDR6Jgz7Utts2a6Y8BgB5sEmEDYvTDN9HJcyqDCjjDLKKKO5ornWuFTK92A2dAcWmUgbnprK0JbIoQSO8ABfecLlshHaUqGtvFiTs7SnfD5/5C4shN28WGVKlreY9a3lZOClmQZrcn+gVsMSGV59IiIh0OipU6dkY2NDRCb3T1nXvFvkQXBMOPaWUd1ymbckSNaCZnGc8bxHua4837y51+12IzgKoXEOXqvf8N+exsTtmTb2HpSu7zC95THJ8C87N1np9TurDdyfVjxP/c6KjDIYDILWhXUpl8uyuLjoeinr83a7HaDBer0u5XI55FEsFiN4cXNzU0QmHoI6hqPRSCqVSvgO77Db398PjjgIeZ88eVIWFxfDuytXrsidO3dEZBLz0tKU+WA+w+YYxxHHg2+FVuI5biEux6W5ZlxICFPpb7RXDQYD6Xa74R2q/eyairgvwl48wb0FisyKBwc9lNiOhJCCEuLQFnRiecQhPKHtsOrPbcANAjcn3iCsyYkbDm76yqimud1zkNPR6PB+rv39fTl37pyITK6tx3NKXuilWWwrmmYaI0diV3+GZC1vNwu6RZhqlrpw23Cu4Hmi0WgUMSu8FNUKJG3RtH7UOeDBgzgPPJsjw+G4aVqXEmreHryYgur1736/b0KsSronYN2QCfCZMKWlpSU5e/Zs6Gu8BBVht36/H41NqVQKbbh9+3awUdXr9cBoKpVKtJaq1WpkS9N3Ozs7gSmur68HL2kN9YX2Ky1nZ2cnOhaBkDMyJWRW2LflcvmIwG/ZF3HNpO6LOw5lUGFGGWWUUUZzRa8JjYuhNtRClOvv7e1Fh1wRHhmNRkEKQYkgBUVN87JSQomLo05w+mlSK2tS+A41HjYUq7eealJWOVwPLUeDd1r18aAtSyv0ICIskzU2bUOn0wkecSdOnAhQx97eXpQvQ15cL6tv8T3DI5ZEyMZpzxEm1Qc8D9izD+tq5edpZvq9OrUgNIWed6g56Dz25oSnMWHdUt/xHJnmhJFaI5YjiT5n9MMaO6/OrDV4zgkIzSk0JjJx/KpUKsGhIpfLya1bt0TkaFQeLYs9BLHMnZ2dcObu/PnzAW3Y2tqKom/s7+9HkTjQAUM9FPf29qRer0deiuq4Ua1Wg7MGamyqtfJ+yf3K64XHxzrzViqVTO3tuPSaYFwYIaNWq0UYsD4/ODhw7RbTXDQ9iM2CUVIbJ5/O583CW7CWp5suImsjwE2/VCoFeILr40Fb/C1vbBbjQkaOBzW1/ikox2snMmyFNFZWVsLCQwiy0+nIwcFBGEe2002rv9VuTIseZDyPLEGJ+xW/499e+bwRWJ6d3J7x+PDQcLPZjDY2q708f3hd4MZqQeNWHbz2iNh22JRgwTCVlT/bhK21xeVgHdidHeFKJBRqe71esCWWSiVpNpsR1IgMjqPC6PPUPVk6j65evRoYYrFYlE6nE8ZUw75pG5QGg0EQVofDoVSr1QA9VqvVYPdfXl4Oda7VauHISafTiaLNo7DGwjwf+UATDM4JPNytNCucb1EGFWaUUUYZZTRX9JrQuEQknF15/etfHzxyNICoSKyyixyVLBmCEzkqTbADhaVJifhQDoaZSmlY7ABhOWCo+o0SLOahkl2z2XQ9BNnpwjtcyYRwjAchogbLzgxWaBwMS6OaFBqLVWvc29uT5eVlEZlcf4JGZ71XCfuH64bEz7Dd2E6r7ZbmwGPAfaftwcOz3tktC/Ka5gyh80El/FarZcKDXnqvDK0Hw0KWJyDmwf2Of3vPkXB+e/3DZVoIgUWoJfJcx7OOjKzguOkc7/V6kXMD5qWORvrMc/RCwvrjWa3FxUUZj8dBm8L+QY9GXHv9fj866Fyv10PoqWq1GjSkSqVy5BZs/bvX65kekzyGpVIp2g9Q+8J5jFrn3dJrgnHlcrlwkO/EiRNhcmxtbQUmZk0YZAjWRNcJ5NlurI73rh0XOeqtN6stwSpHD1l6m5lVJraZy+UyOB6ZtaEjc+A+5Hbid7gpYDlcFrZDF87Ozk6IFtBoNIItod1uH2kDbv5efDUPQuNvPUbuucYz4XcIOaUoBcFZz5XxWhsOH9ZmeNGyF3luzGwT8uqDf8+ydrA+IkftJimocJZnzPjYuw37SgnbiJ6vudxhfFNeY51OJ7p5QsvFzZ/70BPuhsNhsEPV63UZDodhfBEqxDwQyta/1RN3OBwG2B0ZdKFQCHXmdciu+rjHoUcrjg+Wr0xTnyvjwufHpdcE4xKREKAVNSF0N1WyNmLcIKzJZWlZmFfKoQMXCG8KaDdJGbo9yVbz4TboCXuR+DZXT7LVfKy2WUwEv/EYJ2qjXO9pF1GqnQK1KVwQOvHxkk/dIKw6pBgsEm/OVhp2HsA+0rLwf37O7fFIv2Eth4nHoF6vB4mcmYDFvK05gfYZS2DRNNZ8wfyYWXK9PWERf3vzfVofYl25XCWt28LCQqStY+QNrhva0vGMKEZ6abfb5pVJ2B6eJzw+KOToBs8Bc9lmrnXlSy2RefJaQvsbrhdeoxgCC0Njodap7VXi8FL63mJux6XMxpVRRhlllNFc0WtC4xqPDyMEXL58OUBJp0+fjlRhD7PXv6cR25tQcsBDyyyNelfN40FL/t4qB0m1EkvSRS2Pvd6YLFtKCvpiSdnScDA/9lqrVqsBYsF7g8bj8RGJEyVgjFig0MnGxsaRPsR2W9KoBXlhnXFMMS8mKw+eTzj3Ut6HaFvB8r05yW3AcvBCQs+tOyXporSP7bO0VgvKxTpb2mkKItS8uW/xf+vAfErz8iBKrFu32z0SIQdJ51g+fxi5plQqhd8aTED3oG63G9lxsD/Zjuy54ON3qnHt7u5KpVKJ7PaW1ooIEEN42G+dTieKpsJwsWXWYLs27wX6t3c0Bf9+JRrXXDMu3LxxUVluu8Ph0HUY4OC7DDFpPugiixMS4UHLpqOENik02vJZGu+sFuandbM2Z9zA+/1+tDF6C9my3eh7dhbBOnj15OcWfIv1xP5UqAMXLy5WFBJSdgsLnpiVvCCt+rfFvPm8GjJVtidgu62I9KlNmWEyhLVyuVyI4IBj78GlOj4IZ3lwMgt+Vh0Y3rPmLuflPWdiIc6b+ylhAsvS/YAjirAtC8dH10W/3w/pK5VKtL9gAGC2l/Gmj2vJElQU6hOZHOnBIz7spq7CXaFQiNzhc7lcFJVD5wdDl2zGsOxvDP/hPE0JJdYYZ1BhRhlllFFGXzc01xoXuoR76itKCyjtHwfCQKkI4QEkhqLQUGp5c+GzSqUi3W7XlEJZE7O0Mm5DSspFGBIlSM+ZgPP0JGqGeDxtst1uR4ZeJNRy+BAntkGlyU6nE66tsTysUNq1PMUYFpuFrDTYhx40jTCX5qPPPQmUNXcLeuH5XalUZHt7O3zHcS8t4n6bBhFpGkuK9rSnlKMG1tMqx0vnHV3w6s3wPtfV0zSxbrru8/nDu856vV7kwYmoANeN15u1b2ldmbTOqlkVi8XoyhPLJDEaTQLzqiMJQ8k4XzE9Oll4aySlHXtaFtIs5hmP5ppxWXg4bn4aLQPJ6kAecF4QmAa9cDxCl2Q878HeOggbeqo2wyBKDGMy/o/PMfQK27KQwSLs4HkiIoSAm7MFc1mEcAlCHRxOJ5fLRa62VpqDg4NgL8MFKTIRBjTszf7+fljg7DWa8tZDYmgNn1uCkreRYj9Y73AjYUjSW+jYhxpMWp+jW7UlWLCtheEfj7y64ZyybMg4d6wgrEze8Q0ka47ye66bVQ5+ZwlXvV4vCuuktL+/H5iXlmfNl9T6w3oifJzL5SI7VLfbDYxrcXExgs2V8LJHvdtLz26pPY/LxHXF484mCSSE81PMyhLOjgvfI2VQYUYZZZRRRnNFc61x4XkfC85jqdAzlCIxFGRJDfybjfL4f7fbjWAz9DZKwQQW3MfP2YCKbZ3FE87SBKy8vLbq35qnJ1livcvlctCSVAsSOaoJ4aFH7J/hcGg60mCf6DtNr+d0ND2Wg23wJHXud/zWctzg9FqGtpGdfDANnx9Kaa+aXiVw1fItKJSle8zf05KwDTw/+foRa21w1At0dNA+0fys+eZpvanvdKwsDTLVl1x/hitF4oO4qOGrtoVnr6y8Wbu35pV+Z2nuGrNTy11cXAwaYLvdDvOgVCpF0CCeBUPvyWmes1h/nB8pjdx65nlvvxKNa64Zl8IpCDsg46pUKuYEEPFtKLjp6oBZcJj+LRJvRKjWixy9kt46gKwT2HObt8q0NgJr8+FFPQsjZghy2uapaTx3Ym4LMh5sF24QIkftiJoGA3YyI9c8Dw4OwmLF8WHoybMtcLv1t9pqsN8tRsHQHjJSz5bhCRKYB+eFm1ytVpNut2tCrNMEG2+8PTvWtJsOvGf4zoP9EE7kcq28Gd70mIMF1Ymk4UiE4Lnf0KaF/3N7eJ5jnS3BQORw/8AwSrpn6LrY2dmJhDNlVvl8PjC0SqUSXb7KbWWob1rdLCFB6+YRC/YoTN0tZVBhRhlllFFGc0VzrXGpwZm1Iv2NQW1VAk6dAdL0nuGctTGLtAw8WIt5ezETPUkXPX8QamTjvX7LbSsWi0due8Y6WBoGS1izeP+g8d+COjVPPP8iItHZEzxPgw4uKMniGahutxsOm1cqlehAJY4Var3YT1xP1Hg9+MoKYYXkGdv5+TQnA+2DaWeV8vl85GXWbDYjCd3TArhMD6pjOJXTW39bmgzP1ZR2OaumZZEHs3N98J0HozLh+S48ZJzyIuR2MMTs7TX4HiFAXM+INA2HwwC9I1RYr9dldXX1SGg07Q/PKQfnOP72xk1hR5x72N/WnsMOVcehuWZcqoJibDHs1FKpdERF9ZiD9Zv/Z9hAy8LydQA92MwKKouwIafxFpGlxuPiQVsJQi94CLlYLIbFx3EYebF575QYv0+lxzqi9xP3gTepFfaoVqsh30ajIXt7eyE/L1AqljkaTS4QVQaJ93kh4VjxovXGh/uG4V5vA+YNwisX5yF6VvZ6vRDBwRs3nuMI3yD8zLYN7g8PQsL+tY4AcHvYixXriZshMyUrL63zNHjbYsT4P0byx8gZ+s1wOIzcyrkeVt14HjBUZgkmKLiqa7uONwp3GGsRL2ssFAqytrYW1sz+/r4ZUR6FXYs5WbZsbJ+OkyW08Pp7NaDCuWZc3oaINi7ezL2L/vAbSwpRshiXSLxRomspb3pWuewOzAOK73hTsBgh54GLjSV3XQR4jgw3HGuTwny9tnnYvebJ3yGpnRI1Jl4g2h7eYLA/cEww2oBSuVyWCxcuyIULF0RE5NKlS/Lyyy+H/vA0SNzAPE051e5ZNgXWdJhJoI1LXZ37/f6RazSQLEce1gAsWwe+57xSxHYwLyo+M3I+W2RdbeJp9JYDhMX4UIDBeYR11/+RcWHAW9wnPCav6fQ7Tyjl9NZa7na7UR3G43FUT6VarRbZ3yuVSnR9if7u9XqmoGfte5ZgjYyK28qCMOYzTWuehTIbV0YZZZRRRnNFc61xoRSOpJweT+uXy+Ujh+z0O9QUUBLjGGa53GHMLxGJDnqydIH2GU8FR6y61+uZODlDKtjmlGZm2bu0fIQ1La2C4UXP1sGBNK1vVHuzpDQcN2w7a6XoKaoSpMjEk0rzUI3LuuMHpWbUuiuViiwvL4eDyoVCQa5fvy4iE2mUMX/sQ4s8Sd/TtLF9Vl4snVvSeqVSCRpXs9mM4uRh3p5Ez5Akty/l9m9pSTjWuP60D2bpR3Szt46aWP3jeeth3RkGZS3LOqifzx8G1sVDxtg3/Ju1vFSdp3k24noZj8eRRi0iJoKEGuRgMJBarRZdRWKtO8v+7pkvkBCZQS2L96dpMOpxaa4ZlxU0ViS+EE47p1wuR+o9Ei4ODrCJk4AhFmR8OAERlxaxJwLWEzdG/tuDZHRxTYNsPGbGeXvMhc84oaMHEtcZFy7blSwHFdzc1X7gYelal0ajIaurqyIicuPGjSNtsFzWsZ6DwUBu3boV0uzs7ITvEWa2whVZEC1Dfbzhcns5vQd/cX4ILePZok6n424WvE6suljk2ZQYTrbsWhaztpiat9Hr3xbz9PoKv9e/8VuMYu+ViYLOwsJCSIM3qjPk5UGsnp2R8/AEP0vQ9OqNEDo7caHLvoZJw/3Qc0yy6o3fKVlr2iLup7ulDCrMKKOMMspormiuNS6VQFDSzuVyQZ3nq8tZekEYEV1Oz58/LyKT0+iXL1+OTp0jPKjE2oYlLVuEjgWlUmmmq6xZK2KNSImjM3B6fY6SoRXVQL9Bbcgz1How5nA4NF14sZ74XGEcq97sPeUdT2D4GA3+Wrderye3bt2Sra2t8J3CkLVaLQrmOy1/7DORWNLWOZjSxridKRdthHvq9XrkMKBprXQprcRy3PCI5xxD7ViOF3TYc6+fRdJP1YnnK6MZSuj0wWunUCgE+FUkPmBs1ZUhTSTWTFPkjRXnx23WuuG4IDSInqYiEjQudJM/ODg4spY9bdv6zUjTNC3aen4cmmvGpZOFOwBD4KDrJw4uQlOFQiEM5rd+67fKP/7H/1hEJozrd3/3d+XZZ589Ura3OfBGygsUJ7tu2mfOnJHl5WV5/vnnQ7leFA2vHgjvIdxp2cEQekFmg+1JTarUBqhlYjv5fIflCYXptXwsx9rorl69GuA9HU+LkSEsxQwa76xaWVmRkydPishkvjSbTRGRI3YNrA/eONDv9yOBAeFnLEfz4T5MMRAUurD8SqUSLtbUfp/FnpASYCw7lAVLo70I623BgZq3NQ4Mn6XsPZYtjtvs9SNDybyx6v8YrQLtWiysehAg5sXz1rMlMmE90VSB/YP9PhodHqkpl8vhd7vdlnz+MNxYv98PAlmj0ZClpaXwHAVnbBvmnbLVcjolnjuvBCIMeR43wac+9Sn5/u//fjl79qzkcjn5gz/4g+j9eDyWn/mZn5EzZ87IwsKCPPbYY/Lcc89F32xtbcl73vMeWVpakpWVFXnf+94XrgjIKKOMMsoooxQdm3G1Wi15y1veIr/2a79mvv+FX/gF+ZVf+RX5yEc+Ip/+9KelXq/L448/Hqmq73nPe+QLX/iCfPzjH5c//uM/lk996lPyYz/2Y8euPB6o1X/lcjn8Vk8zvrJDpT18pxEdlpeX5cEHH5QHH3xQHnroIblw4YJUq1WpVqtBclCpG/+ptK/vWaLjf/i8XC7L6upqqA+r4KypeWq81kElMTS8qvRrSc3qPIH95Wkv2FZuj9ZN66djMB6PpdvtBmNwqVQKWrHWDf/p+HBerHnpuSX1tEo5I6SeowMOHkjWvFU6RhhK+00PuWtbtW9Ui69WqyHiAY4Jtsmax4gI8Pf5fD7kXSgUpNPpROuLNVYeG/yG0zCKgXPKylcJ54SWg23Suaak0DBDz1abkbgd3rc4f3G+4fgwvK2He0ulUqibRsjg4Ni4xvigPL7z6j/tPJN+h+OB/YowJ+elnqWopSvipBrccDiUZrMZ5nij0Qj9ZEF72J9IWj5qZAiNMirzamhbIncBFb7zne+Ud77znea78Xgsv/zLvyw//dM/Lf/sn/0zERH5H//jf8ipU6fkD/7gD+Td7363/N3f/Z187GMfk89+9rPytre9TUREfvVXf1W+93u/V37xF39Rzp49O3NdyuVy2Ix1gPDSNF3gIhKiKlu2heFwGDS+L3zhC7K8vCwiE+gI3Y3xUKoX1YE3Hc/rD9X3y5cvy5UrV6KDhUo4+S3838KLEb/3Nhkrb9xUcWFwX6WYpn7D+L9nG/A8HLFNyLBwrHUDEjlqR0pBMcqYdIFrmmazKS+99FKoG9qM0FVa2ygygWIs6LRUKkUQ02g0CuWybcLzUGRGjJuszmv0dGP7DvY1lmtt+jgmCBtacBj3LadXYqiQ543lVWiR9c5izFiGBW3h+PDaUcal7xRO6/f70Ryz2qlM0FoXXPcU5GZ5ZjJ0ylF5EIK3bGlsKx6Px9HepXk1Go2wz1mCN6b32oDvsO3eWL0SJvaqehW++OKLcuPGDXnsscfCs+XlZXnkkUfk6aefFhGRp59+WlZWVgLTEhF57LHHJJ/Py6c//elXszoZZZRRRhm9BulVdc64ceOGiIicOnUqen7q1Knw7saNG8EAHipRLMra2lr4hklhJiU1mi8tLQUJBKVbDTZZqVRMY7lILFFjsMdnn31WLl++LCIi99xzj2tY5HzZo8eSYBWCEIk1F9Xkpkls1qFjy7BvpdMykVgTQg8wT6P0JDHsAzQo6zfYX6wdcZ353I4nyWGeTJ5RHuvJGshwOJRWq3WkbnwtCmq0OI74++DgINJ68/nDuHLr6+tBY7p582aYz5Z2bsFs+Xw+aAdoG/bgQesdfoNzz4PtmNjJxSJLIrd+TyNL67OcjvRbRhL4jJLI0f5cWFgI79rtdnRruYV4sLbDZGk/CN1ZZGlSSAyXsyONVT6vHfwWvQA7nU6Ynxg6TfNABxEPTfLgeUvDt54fh+bCq/DDH/6wfOhDHzryXA9f5vOH98+IxIdlscNTarZOqF6vFyZtu912GRR2OqrZnU5Hdnd3o40fYycq7e3tufYGpNQC8SYrfovPprnlIrNNTSqM3YYu7OiCi5O7WCyGjRrLwSgAVt+i16cV9JRj2CEsgn3K/Yt3ExUKBfPeLj4g68W85PiICEXh80qlIhsbGyISR7tYX1+P3Nl5fjLkquXrbzzyoe20InF7Y8p2K2T43oaj302L+8n5WjYfrieWYwkw1ncetM51ZnhQfy8sLEi5XI7gQeyDaRH2PS9I/o7/ZmjYqifC4ehVysTmARTuMA6pB3fiMZNKpRKtTWS4yAgteFT7As0yKUZ8t/SqMq7Tp0+LyESKPHPmTHh+8+ZN+aZv+qbwza1bt6J0g8FAtra2QnqmD37wg/LUU0+Fv5vNptxzzz3h74WFhbAxNhqNwCAqlUqQSLe3t49sBBgFgsM7iUwm8GAwCJKIN+mmBQFFqcbaVBRjx41/FuKJgxoTahU60djuxZMJGYenDTEjRW3DSq//a9vK5bKpCSGpzcBy/8Y0HAUg1TYlrjPa8/A3M1oUbFCA4ACtnpAxHo8jAUbtsMViUa5duxa+42DA1gamUWBEJv2KGz3PUa4XU6q/PNsXa9F4zATfpxgK5+fVm5nfNML+4rwwygjaHMvlcnTWyQvT5vUn26Fwc+fza14aJH6OeaHAwLeG698Ylq5YLB4REK0xR8GTA1bjt9bxF60za7azCCl3S6+qjevee++V06dPyyc+8YnwrNlsyqc//Wl59NFHRUTk0UcflZ2dHXnmmWfCN3/yJ38io9FIHnnkETPfSqUiS0tL0b+MMsooo4y+PunYGtf+/n44KCsyccj467/+a1lbW5MLFy7IT/zET8jP//zPy4MPPij33nuv/Mf/+B/l7Nmz8gM/8AMiIvLwww/LO97xDvnRH/1R+chHPiL9fl+efPJJefe7330sj0KRiQajEjjCVwrDMMzHkg97iul3LBGgd5kVTPTg4CCK1sH2GJbOuD6ar+UNxpJqylvRw89Ro/DgIy6b8/IktlngTnW11zRejEaEwjg/HF/LbqZQD2pjls0N03P5xWJRGo2GiEwiUui7ZrN5xHMP+wrHxLMz4gHPCxcuBOn+xo0bkaZtaTj6N0I5mh7bYNkmp2lgrEV5cJwFWWO50zSUVF2Y7sYmwmNq1UfkUBsZDofBvDAcDo94Z1p1Zbspw/H49zT7X6oNSKipDwaDyNyQz+ejuWPBoJ6rPtZX89I9TI954N10mMbagzhPTzv1YNzj0rEZ11/8xV/Id33Xd4W/FcJ773vfK7/1W78lP/VTPyWtVkt+7Md+THZ2duQ7vuM75GMf+1gEvfzO7/yOPPnkk/L2t79d8vm8PPHEE/Irv/Irx668Mi5UURcXF0OHHxwchAWOcJNIvIFyRG1vY7NsN0oYfBM3ELR7IJSDRk6cTPo3Qx6aHsliaCnyFqS+Q8aBCw/v7cGJiwvZgxC0bToODA9a8KKeecK6YnBU3HwQ3mHnE3RdR8bJC07byrczY/uZuVjMG9uD5Y/H4xBeSmQSzFfrijYqhtvwb7TtVSqV4IDEjDMF8fIzfT6L7YnLmQY9euV7buqp+mn/MINUYibCfYc2Iu33hYWF8M3e3p4bgBv7wItmo2sCHXas4yjIRJEZad2svuaN3jINaB0syFvPmeEeZAXEZYaE9eF965WSJ9gch47NuL7zO79zquTzcz/3c/JzP/dz7jdra2vy0Y9+9LhFZ5RRRhlllNF8eBV61O/3gwSgEjG7B6sDRrFYPGJ0xdPwHnyG8I8nFfKBWzaaYn0wDcM0qcOJmhca7VlqtQQKlN5YYvQkHiyHaRaDMntvDgYDE5bN5/NhfBAKU+kVYwQiVIjPND++zwzb5sVEtNqjnmUINbKXGbfD8q5jrWQ8Pjx+0el0XPiX64PvVNNELYQjT6RcpLEu06BBL52VJkWct6Wte3XQ9cf3c2Fd+DcTrxEM9qxaKx9Et8aOy2HkAYljc+JzXuuomVl9yloaOnF5ewuiGno9D85rD13CtbSwsBD6CgMvIPF897y2PZr2PkVzzbhQ/dVJiExEz3mJSLhMDdVkD+7RNBoc1ZtQjPVr+fwMJ7FnE0ptJkocDgqJITAPskp5bOE7bht+Z9UB82JXWOwrtjFZ0cMZeimVSsEeMRqNAkNDeBBD2lh1YyEB+43brL+tMbSiJHhwrhd9BL9DqBs9uXgzxLBFCGvxeSoPTk4xJ7atWfXEMVTCuWzBlQyh4mbvjT2OleUl6dmuPEaK/YPzqN1uh83cWrOWIJtiVviOhSZNz0csuA8tOG4aumXZVHEd6HqbZf4rKbSoAoN6V1vlc3oWOrSMafvHcelV9SrMKKOMMsooo680zbXGpVoGQkrj8ThEP0DOXq1WZX9/P0itGJQUKZfLHdHKUNrGa7wtKRUlDX3neWlZZVu/UxoOGo6tszQiR299RanXgl5SkhRrhlhHS6rS7y1pVOvN+epzhA7xzJ1+1263j9yVhBKs5QnJbWFJGaVrHCuUmpmmQbyaF88Trg+PIWqn5XI5eJS1221TY+N6e+NjOc9wXfSddzbPg3+5XBwDHhOEAL30KZqGUIgcvc1YYTZEXywt1fKYSzkmoLMVe7Ra6fWOOrypGMtjxEKf8wFiSzPEs4Wp82LcZiTWsKY55mg7PXQJv7Pm53FprhmXXiSIzAsve+SLBjmShtVxzHS8AcS0CI0pDm3BC96motiwNdAMj3B6C25hLzrG0S14YtpvZN4WQ/Dc6actHGtRa3p9Vi6XI1wfmZ2mR69OphQUhmWzd523QTATwiCs2G6lUqmUDKFlpdF6a7m4sSGDQxuX9rUVUouZWEpIsiBjXC8qiFhjz4RCAbePmZr+ZiFj2kaHghEyW5FJv+lhb7RrHRwcHIHWLeGEGZjlVcyu4JarPJOuecttns0I3u98Ph+FwkObrLZTD/yjZ6UF6WPeusYwor5lhmCBJyVAWELbK2FcGVSYUUYZZZTRXNFca1yNRkMKhYLs7+9HmofnLYjnk1Bz4HNXKGmjtDEajcxDeSwhicSeZpYBFdPg3VRcB4RU0MPReofPPWJp1pIIWTNkqddKg/mWSqXoTAuOQ8qIrWf9VBLUftF7p0QmkjJKxByWxmq7d05J5KhEzDEJuX06Njh3UBu18mUtzYJFsa6Yl44v3sqr95Bx29gBAomhQgtS9drKdU6dF8P2WH0wjVJSuAVhazms4ejcqdfrwSFjf38/Cg1m1ZnL4fVr1VXNC+zxivnp9x5MnfIk9rRRhu0QHtTnzWYzQp5Qs+SwTlh39IBEb0HsD4WM9XdK25pm+jguzTXj0k2R4TDt2OFwGLkQ4//otZay24gcjfGn5LmyInNLwX76Wy8rtCZvyj0a/9fFg/Vi4j5I2X7wGTMYy+0c67m0tCTnz58PfXH58uWw0ZZKpWCrQZf3UqkkKysrIhJHqtAydPOpVCqyubkZ8lbScbcCjTK8gmnwf4ZDrI06tQi9/tRNzRJgxuOxucnpbxwr9YLjjdTzRGT7ledKzhvONAhv2kbk2TN5nU2zr3r9yYT5FotFyeVyYY5Vq9Vg89Y7+bSNOL5WO7g9CMt65gDOG4mf8RybxRaFwqt11xZ+JzI5XK2X64rEDLXX64W/mVmXSqUoDqjmxwf08dAzQ9izwIZ3S3PNuJrN5pGNEzdwtPXoICEmbGH5qInxhoASBkokuVzOPFvBf/NGwJqWtWGw0Re/YUK7lseQ2CkAF63lMMCbf8r9WkNt3XvvvSGocqFQkM9+9rPy7LPPishkI1lcXAxp0L6j/bGysiKdTieU3Wq1wkZ06tSpsIG3Wq2oP9FRAfuN+8LbqLxzKKx16zORowsUBQu2K1i2ASyTo84zeRulls8ROGbRRjlvy57HxAIQpufn/H5aGtYwcLxSdh905MGg271eL5zttMKxaXrP/oyEewMLBUiWAMH11rZ5WrClxWM6kXjusb0KxxMZFBKeg+T6I5qD+954nA7ZZo2VNzdm0cA9ymxcGWWUUUYZzRXNtcalUhLbC1Q6V/dRkUNPGfUwQulcoTr9Tkm9EFEKtyQJlPgs7zELamR7CEpPfC8USvtc/jT4x4PJ+BlKkNxOlgCtvFEq29nZCVLuqVOnZGFhIYrNpvDg4uJiuP6G7wxaXl4O9dna2gqXLS4vL8u5c+dCuRr/T7Veqz9YY8K2MMbv2YdYs2dblNbBshkwjMJXXWAeqDnkcrmgOdTrddnZ2Qn54XfoUj0cDo/ArPq/pfVYhGvB0z7wHcOvlgs914Hz4rLxuQenWb8V4tLx2d/fP3JchstU7dyrB3qxWjD8NJuvp0XPArcinIhX62h6y+sT89Z9T79TKFXzw75FjZ61NCveI7c31R6r3Z7GOgvNNeNC0s7k+54QNhQ5CqcwcefzZLM6myMpM/H5DayHlokLnhlhahJ47sqeLcGbYMysLJd3rb8KBp5tYmtrS27fvi0ik0WmODu2X2TChBBHv3PnjohMopzg5l6tVkO6fr8fyl9fXw/f6H1rqcglVt8g4XgjI8ffuJFoPyGUazl0WAsdGSAyQTbw69/dbjfUrVarRUxe62Pd3jyNKTAxo/GYGAoDzIQtOC5FDMF5MLVlM9P02k+1Wk2Gw6Hs7e2JSGyfsfLGtlnloMCBgiMH2OaoGFiOQuCW4Hlcew/WM2XjstKJxGHyWMjGfPHoQKlUMh3E+B42hsD5KAFTBhVmlFFGGWX0dUOvCY2LnR5UOuh2u0FqwG9FjrqWq0SCqjRKtSKxai0ikRbA0Snw1mRLYkP1Xb+xpGg2TmP9Pc3Kc41ng7DVj5oXS4YIL6AzgXWVQ7vdlr/4i78QkYkXYKFQCI4bqNUUCoUAf92+fTuSBFF7Yi0GHWzwTiURiQ6iW1E5sD9FYm24XC5HQZlVg0FNSn9bkibnnSLL0YKl9nw+H0m6VnsQetWxtaRw71Cs5mVBaEwsIVsSs3UoFX9b0HQKBUjVBY8MqAlgOBzK/v6+6yxlaQHWkQgrqDNSuVyO0BOGELFca/3qOHmIB6Zn1Mfy6rVgWX2O+443RxGd0rGyzAy4P+IdZloG7kFe214NmmvGpbANurbjmQU876IbpodR48DiZqzvRWLGw5sZD5J+hzAiLlxmTrzAcEJYsJI1uaxNBxmiLhTPvR/TKLGXEDIotMuxR5+G1FJoEeEwhfr6/b7s7u6G3+vr6yJyeL4EXXAtT0YUUtj+gMyFo7t7cE2pVJKNjY1QB2SCnvCC4+jBcvrOY2qWvUzTILPCcEWWS7Tlcm/ZgVKCCbZjGvQ0bTOyvrGEKpzjXCYzP/xO+0vPc4pM7KtoL2Xm4BH3nVVPHI92u31E+EA7kpWP1S6L8XjMEuekpsH8LAEq5eGIxJF7crlDT+lc7tB+XSwWg1COwhSuf6+9TK/ExpVBhRlllFFGGc0VzbXG1Wg0ApyCEItCSSxFsJMBpsG4XCodVCqVSHoTiaEXS51XyclS20UOD/BhJATLAcMrh/NMveN2pyRplPisA5SoFVjxEdlpAb2QOI6ijg9qDo1GIzpk3Gw23XiHqrFh0NRCoSBXr16NYDc03vOZJmyT1rvf7wdvSIayLAcbTYsarBc0mB0QML01v/TwPF5lgtAUB4LW9uDfeJYNb0226jAL5ISaP89LCxZi2DKl8VhakaWVKJXLZWk0GuE79TrV4NfeXLek/FTgZCScRzg/VNvgPUDfeQ4UKTMAehXib5xjvLatMeR2WEgAv+O0qOXhc9w31enDOqCNaWadD9NorhnXmTNnwgWRuuFg8EwcZISNRI4eqlPCyaBu8hzgVAknBbq8IkzFnj8WdKP3fiHhZPXCUXkDz3Y4LMcLbYP9wIuN4UarLNwsEAfXb9TG1ev1AtQgItHRBR1DXQx4yaT2NdotFxYWZHl5WURETp48KbVaTZ577jkRiaMkeB5wIvEC6/f7weamdbKINwnL5sBQE8KqbAtAaAmFqWKxGMGqaGdEBud5dmF+mk7TYFsY5rWOfzDU6dlnPEajgo3lreptpiwM4VrEMGDNZjMKgeUxK4bN+KA2CmTW2HtQoh42t9qTgkG9enJeCNOjkOsdmrZsi54wYpGOLc5l3DdRyOdDymgWsWzJx/U49SiDCjPKKKOMMpormmuNSz3RODCqBTHpmQPLOwbJkk6sM0hIlnOFlTfeYMxQ1DQnC86XYS5P0s3lDuO2lUqlIxqpZ5Rn6c+CjDANapncz6PRKMCDbNBVyufzQeNSLRWlOf12b28vaFz5fD6Ef9rY2JB6vS4XLlwQEZEvf/nLR7Rs7C9Nz3CWd7gSyYNiOW9M740varOoGVYqlaCpKaFDhhLPKc5fNRF0UElJ5Di+LDXz/OLzgfqNd5Ady2EtTYm1HQ6GvbS0FH6r16fnjMHEaxKRDNReWFPA9WJdQcOaIWvBFjymWpr1DY6BBTdjX3sBjVnLs+rgaYDaH9hWTYNnvxARUCclnKNW/NgU+nEcmmvG1W63o81SJHYzx+fsqYa4LXqKIUPjCVkul00PQ4yBxosVI8+j92On0zni5cW2F/7tqfz4Hv9X0smN95dxemZIKXuXZ49AGAfHRV2U9Tstv1qtBgjx4OAgwHR7e3tSrVajAMnKfNrtdgRlqfdit9uV1dXVENxXROTGjRsiEsOG/X7fDRTK/e65bqeglxR0g1AfksXwdB5huZ7dxZo3XB8khpg8JsJ1nAZ1cRvwG26PPsN3Wje0y6Fgiuuv0+kExsXHTNhDUCkVJcUbO64v27W4zvoOv7P6ifcWLgvLRDsS7wfIHCxBwpoDHgzKHpsWJMmBhnFv0bQi8cHvVDl3S3PNuNQpA6V4PM2Nkrr+RrsWhs3B8zvqJKDpMI1KGCISpH2cnJYmh5NaGSZqCzoBLCweJyRKWxb+j5PVmsStVita/JiGg8Vqf6gkZWmxqFmVSqXAaPiMCwbMRZvOeHwYVQDDbunNxvpuYWHBvD6hXC4HTe727dsyGo2CS/25c+dCOKm9vT25du2aiIhsbm4GjU3tBcyUsO/5t5ZvYfbYf2hPZIEC+5rd63EeoQMPvsN5YGmTFrOytCz9zcKJxUR4Y2dG5pVtabj63GIUeHvA2tqa9Hq9yBUbI71bDMZyxLGOwLAtjAMsI1nttI6CWAIIMzVEKDgyCpbBDhmalo8/YL4pm9VxiN37PQaPzEnrjAxM5yZrX0psczwOZTaujDLKKKOM5ormWuPSmHYIBYkcSl/FYjGS7geDQRSJQCW7YrEYXGvR400lc4zKoBoTu8aqpFGpVGQ4HAatbWFhIeDyuVwuQGbXrl07Aml63lwIa2LbUOtizx+UBlFyUndhJUs6R0J4U9utkhLDeailaVsODg4iaRIPiLP3JUrKGBOxVCqF/tzb2wv90ev1Qppmsymbm5shgsLGxobcc8894ffa2pqITILyvvzyyyFNp9OJIB8PBsX2I6EEimOY8jT0JNhc7vBANUqvnB9rYSiRIzSNZc8qdXsSMdcT/+f03pxCzc7T2KrVahhDkbi/2+120LjYJMB9ixqPpUlxPVFj8mBD/NtKa9n5kNAmpeNmzRNsD/aBdzRH01p107w8DVDJgjo9O501xwuFgpTL5VBX1j69SCZ3S3PNuHQhoPqMUJTlMKAdWqlUwsaIm/P+/n6A8NDFViR2fUajOMJ+i4uLkSGcozHrolxcXDzixoxRPvB0ug56p9NxYa18Ph+lUfJsV/ge6yAyYRS8WWMbtH8xEkm3243sTUrKkBBqxLNs2p8IOyhMiK7gumH1ej0zgoTOBS272WzK1atXRWQSWX11dTXUSaNjrK+vy61bt4IwwSFssI9wI2N40IINPaM+vtf/kfHhc8+egZv2aDQ6smkzo8Q89L23MXsMBX8z9GnZdfW99S2Xm8vFDkQI+1UqlRB8Ge2bnBePgeUA4DEhz2ZpvVPitcvpkLy+4Tu0EJbFecDHJTznBovx6pzCOYJwp0Wa3mKezAQ1j06nc6Sduh9Ztjmr/sehDCrMKKOMMspormiuNS69ERghCOT0GBdPNSyVrkejUThtv7S0FKS6Vqt1RBKxjOLdbjeKVajlq7cgetGpJtLr9QLkhc4ICmmqVpDL5cItwbu7uyGvSqUS8kLYQevIgX71N0tbltSLUhrCeQit6jvUALFtlicVasX6ju+w0v5ESRLjE+ZyOdne3g59jVAYOm0goQv+/v6+bG5uhvL1KpVGoyHr6+uysrIiIpOrUVSzYwiRpVRL4kbiA8dsvLckbcutWtuH8CtHLMG64PxH7RTLQU1Ix2oW6Zfni5efkgYHwO8tbQ7n22AwCJ6mpVJJbt68GQU7Rmnd6nfLcQTJcoSZ9r2lyYiICUEysUMK19PSIPkIAKZhbd/Sri3I0fNytGBD3eestmo9+Lnmj85rvIeI+N6Gx6W5Zlw4KBgpmnFxkclGhK7QaO9COwyHX8LJheoz/sa8MFK3yMSmgnYczFdpPJ6cWdIF22g0onpiexVq1EmLXkq4uVoQSaPRkI2NjdAnCO+x7UtJoT6tD9qY0C6FE926awzbq+lLpVJoM46NLlBl2Gi34cgBDGfgJqPf4abPcOLu7m7o0+Xl5fC71WoFwYaZqsXILOJ5xPYXfa6EcK+2x/IaxGj7OIbaVkswYNjOeq7fp+A1rKtF7KFoCVBcB4SPEcLf2tqSVqsVzQtr0/U2bf6bbZhYvsdUvX6zjhTgOreYB3s8enYphNYxvZogLIaLvz0XfCbv2ID3XN95zBYhQQzGy7YvXctoUjguZVBhRhlllFFGc0VzrXFpYEf0HszlclG0AJQcUBNROEoJpXgllWIY9tLvUdrQbxDOEZnAVNa5KYaNUOu7c+eO6Z0jEhvg0fmkWCwGCIzPemg7G42GnDlzJhzMvXr1qtlX6n2oeaEGxXCF5azChNopOqHs7u4Gbz+EizQNeiZanpUsFWLEAobyrPNIo9FI9vb2AhTVbDYDbLi8vBzg2jt37gTnG9W+UNPFvrHi3bGU6mkrPNYHBwcR1KZlViqVEKOR4/RpP3h5MrE2PIsDA2vRDKd5TgaoibBmphB6o9EIbd7b2zuyZrFPUQtGZwT2Nky9w/Z4faDkOa4wXIff8VpJeWqiZmY5MOgcsMY0NYYeTYPsLA2SvS+5TN4rtG6qRSOKMB6Pw7o6Ls0141peXpZCoRBt+ugizdAeLv5U+CYkD4ZgrxtOh4OKtierLP1WIR+EPr3FYv3GgLU6OXDh7u3tye3btyPYz/P2SU1+DiisaSxcnvsCJ/729rZcvHhRRCZelgrN6TfosWT1dT6fPwJLWuOKjANhR+7/VqsV5tHOzk5gYktLS4GJNZtNabfb0eFKbB8KUEjMvHHD0jTlcjla7J4dDe+C4oOrnh2K3cJZAPNgRMsl2ts8mTC6vdqjUaDSdlcqlSB07e/vB4hY7aZWfTzPTqynvlPijdqDCmdd59gfXL4VjQX/RuauZEHILOwy8/XgSaZpnq9WHa29gctEQohTx5sJbbApmH0aZVBhRhlllFFGc0VzrXGp0W93dzdoK2xMxd8eh/cMypqepSR9h5Ig522dtUCJUyQ+G5Hy4rEIpTorDZer/6Mh34vdZkl01pkOr44MiYjE2o1qPPv7+3Lr1i0RmWg1GpZJIVCGwDRvD5bCPkRNaJp3FGrEWuZgMAi/FxcXg9PG2tpaFGoKnSNwHrG0iR6DqGVhmsFgEDln4NxjrQjvDWMDvSd5e1oJ/s3OIp7DAhJqcAjbLy4uht+q3WM5qmVVq9UAGSEK4P3P7UFtkiF2b23jb4aXee1Y/cl9wN9ZMDFrxFhPT5PioOE855UYXrTqZ5VjtcmCj9EsYrWHDyVzgAb9vbCwEJ0DvVuaa8bFrpgiPsyli8tiKJwH5iXiuz5bm7o+T+XH9U/BjFY79H/0qkO3aG9i8oFHD9e3mB7no3WwFp5Vf95cNZ/r16+LiMipU6eiKCfFYjG6EBTzSdkjPJhIn2u0eqttntfb7u5u8MSs1+tSr9dDNJRerydbW1siMoHwLFhJ80L7JMKtaKf0Njm2n3nCGbffgnWYIXpkbWAeYYDlEydOhL7SvmG3/UajEdK0Wq2I+WNd0T7JtkILeuX4kLjmWZhiu6fVJ6m16W3u+B0fvmcIcNqatbwxPSZkCR+a97RykHRdW2k8+FAktut6Qi1C2+g6f1yaa8bF5zr0f9xAUTvwJldqQXrkaWLKTDzm6W3qWC92m+Vv9X/cDDyNkiV1r1zG+PW3Lja2B2h6r51chmfI39vbE5HJJsdSHYfH4bpxmSlJ0rIFWMZ63GS0fIyE0u/3pd1uB8ZVr9dDYN9qtRo0IVygOh+8Tc9yZrDaooydwx0hQ+R2o3MHbsyYhu1IWEdMk9rQtd8WFhbkW77lW0RE5Bu+4RvkmWeeERGRP/uzP4vc+CuVShh7tNlZNi1PGMBnOD88mx1SiiHNmsZ7x2iMktUWXBf4HJk1zgnLPsnlYH6KfliOH9x+XheWIOr1jeXqr4Rt7vf70bq6W8psXBlllFFGGc0VzbXGpfdxpTi3BzN5nkOsbaC04sFxnobFxNIKl8lwBxNLlqn2WBIsS0qezYOlWatcqxzMl21iKBnidTJKvV4v0jzYFdzSmFISp6c5pCBNbhu2Qe1dxWJR9vf3w7tWqxU8DtEWtr29HbQuPWpg1VvbpGVynT2oDvPS5ydPnpTl5WW5cuWKiBwevrfK9J5z/6DXKM9dS9NDzW5tbS1Eg6nX69G8RviV0YJpUDX2j9YZ+wP7bRY7XQq2S63rlNZnkQVFe/uBPkf4WNtj7VVemXpMxbKL4d8I87HNPTUHef1P09zx3d0gXaFdd53y/wekd2+hS7SIvQmzyyt+g84EaAeybFWW8TEFIWBZzCB5MnkqvPc3wwbW5GTYBBe5Z3hOleudn9F3mq+3oLxFMB6PA4ykYbeszZkXu1dvhhT1N58lYuaN7cQ6a5t1fqgzwWAwCL/xJoCVlZXAuA4ODuTg4CCaL7jpY0R4qx38Dt8jczlz5ow8/PDDsru7G8rFNqTGcBqUivOL5xlueu12Wz796U+LiMiVK1fCGTndgDGgsQUtTbPB4JgidGr1C9fbg7a9zZfrxmk8eJDryVHUMU9r7eMcr1QqoQ8LhYJ5npHLtOB0i6GwMxGuX29/8/ZQXku873iXtd4tZVBhRhlllFFGc0WvCY2LT9dbxFIIS6D4XIklAtTGUifIWZ23yNIGPE3Ag8M47TTVe1Z4kaVHDyJi8iRLhI/QMwzdYSuVSoCVms1m5HjDfehpfAwdepIytovH2Gq3B6Py93pzs8hE+0IIEZEBjguJ8xCf4xUf6CCCEVPw+aVLl6TVagWNC+coHrxmWNdDAlhzRgN/pVIJY8zHMvQgeafTCdDpwcHBkTiX3hpAVIPdyZEsbZAJ5x7mMQu6kXrO643HDtNadVNvQwvGzOcPY1bWarUIUuU6eORpfyJxv3lHW1JwqVXn1Hc497195bg014xLvavYTTYFDaQmLqYVsU/a4+TCweAFPo0J8WLiunq/72ajnmWCeLChxTyQCU2zH6SYIMJkaANR6NYLH2PVz9o4rHepcyzct8jIuXz9H890YeR6DBq8vLwsq6ur4V2z2TQDjFru0hbcksvlojvNNN/t7W3Z3t52YSoknJMM/3jji+XjhY+nT58O7dnb2wtpBoNB2HT39vaiNnvwL2707AnsCV2zCIpYrn7HghoybPa6tPLhenkMDom9+yzhOZ8/vETUao+15qetf2+/w36bxbbnCbveutTfFgyeQYUZZZRRRhl93dDca1ys4ehzEVtTQc8ZyyDN5KnZIv4BZE8SmVXFZukkBVl5UOGs5aacJTBfD0JLSYQWjUajIE2yhoGBbNngbvUBS81IHnSTkvJm1RRRK9nb2zO1aAxaPB6PpVQqRVfS4P1ilnects06tOxBhSz5ezCop7koebAb94FqfXr9iMgE8tXxbTab4TlDg54W4CEUTDg+lsemB9t5SIi+1zKtM5rcF6n5Yq3L1JrXOolMxlQhVYx0w3VjLclbi+h85jl08DUqnqZopdXfnubLfeBpc8ehuWZc1sFJXOxWZyPUx88sQo8pzhvzmgV/9iaupp8FKsS8UnCi9c7yOmS4xKu/N9mmQYUMreGRgnw+H0UF16j1XD5DwV79PWjL21Ss4w7TYFDOg4UerA8LULqh12q18EzteVyOzgftq1KpdCSsjn7vbTI4xxlKT8GJuJkhtIVjiMGsu91uaFu32w1MGT0HLRjXW0uzQLnYTsyfBS1eZ5YrOefvHUNgSNPKl/PCPtS/OU/9G38rw+p2u0fK57Vh9YX1DRMfGvb6PSXgYhmeIOuZTl4JA8ugwowyyiijjOaK5lrjQrKcB0TSUJonOWB6T6L20rNRPQXhWfWd1jbOy1LNU+WlJJ6UcXda3VIaLBq+EZIoFArh3NO0MypYZ2+sWXLHG6UVhtzd3Z1J0uMYc1gPHlMrhiD2w3A4lHa7Lbdv3xYRkdXV1dCeer0enQnTvNSzzLoBWfuBSecu3xGmdbP6yYKxLGmdyy6VSkFbHo/HwfGi0+mEcUyhCFoP/d/SCqZB2SnJ3UMCUnMZkQkLifD6yNLQ9G/1fNbn3txLaUiqkWsAY3QGwvQeJIn9y/sbakKWVsz5WflrenyXaqcH7x+HXhOMi6EkzybkQQhIqRPeHhOyYA9vo0Xy6sJYvJdm1skxC97stS210JF4w1RihoWQU7FYDC7jaBPik/ses/YgQyVlXLVaLWIAHlNMRfjHfmCbgWeHwnyGw2Gw94xGo3ARpNq9RCawEEbE7/V6EbRk3X2Gcw1tvtwGHF8M7KtzVzfBwWDg3immaYrFotRqtfDd7u5uFCUkJRjhOLGHHZeD9ef0qQ2QN9ZpcDZ+m6JpTMeCFHF8LFucx7Bw3WAcSD7WMGugbks49uBFrhsL4h7NYmpIfXMcmmvGpZ3BUc+9yYmTPXXq3MvHYxas+aQWS0ozwr9nde/1cHkkzMvb+D3mlnqHixIJGbnIZKNTG0ihUIguEMTx4HKshWNJhhYNh0O5c+eOiMS3BKMEPBqNXMFAy+U26/fI5KyjGKixqQSP57j0rFWhUAh9g3lpOz30AF3TPQP9eDwOEbgxMC8yLh4/dhBBJqZnixYWFqTf74f+9c5kYX9x/+Ac8UIaWWStUy+aQyo9k4egeN9YGpY1d7Cd1rEdb75h32BklVmdV5TY3snoQcquhWVYazG1n+HfnhPMK6HMxpVRRhlllNFc0VxrXEooEXjqM0tK6FGTOnTMkqSlPXm/OT3XIyUlWgf2Uvkx3JLSDGfF/C3CNAxtoHSHUEepVApaRT5/eGV7rVYLdhIMXKvjOU2KRmjOq6uIHDnIzBDgcWAjhewsT0QkhApV+8LrHLBOeqFipVIJWo1G17BiY3L+SuVyWUajUQQlodRrzSktA+9Cw/mh5dTr9QDrjkYj2dnZMQ9RI6EmpPMO/7baYMFXqbHgOuv3/Densea9t+amwVuWDchzWU9pH9jvOg8qlUrwMNRx9e4h1PQ8T7x1jvPDQlmmQbGW1ol/WxApt/Nuaa4ZF0Jf3kRLwRZKbEBFYtgLy/CYA+bDk9ib+KnFliozBYtaxGq/l3cKHrQINzlkTqVS6Yhdi2FETeMZsXlR4AK1bE0WWRc0cptmdQdm5x18joIE1hfTdLvd0O5WqxW9Q6bOziqYJ94iy5uPRqtAeBDnMUKNw+EwgipFbPvKYDCQnZ2d8J5dnK35zn3FQg8KjqmjK97fszAaJg/aTm2iyPwtCN+ae9Zaxr7RNYF56+9isRgYV6FQiG7bRmGGBXZr7jHczEK6JcRaPgOzMn9v33olwrJFGVSYUUYZZZTRXNFca1xKyMUtY7Y+99xMU3DErJCV94zTpE6We0ZPTDtNK+MyU7DlrNoXkuX5pL81r3K5bGpS2gbNezgchoCsBwcHUdBdz+kA64VlsuF6FqOzSrnTjk9M0zi5DtxO1XBQUka4B/tH4TiRowFWETZUeLFYLEZOF1i/brcbOQaggwx6ESJUiMFzO51OKL/VakXjw96D1vhYEDr3P9Msms+0b1NzdxanJw998OZUStP3NEurLYgkoMajmrfCxx4MiXkhzXrQWMk6kG6NL+9H+D9rsZZ36yuhuWZc3saCm4cSwxEMTc1SDpMFX6UgD48hsd2E4cVZ6uTBDlYai5l5TEzzw3KshVqpVEL6UqkUfhcKBen3+1HeaB9C+MnaWK3+0Hcpjzir3fqbx2OWzSwFxSKz9IQGhDX1W/1GXfXr9Xr4RgP2qrs8wtk4dxmWK5VK0mg0RGTCyJQJlUqlqHwtEyFeLWdra0tEJtHudRPDAMIYcgrbp+2ZBXJlgUGJI9XMstFZY4rvlDyhluudgsmtNToNosZ7w1LfWmsR1wEeW9DvrTXtQXtWOZgGidtnCZG8z0xbZ1y3VwIZZlBhRhlllFFGc0VzrXEpsfRmSQqWdOcdPMV8RWaTDGZRf1nC8SQaNKSzBM9aEWp6loTjOTZMa5dnGMc6oBSP0j0SxrTTtuJBWjU8Ly4uRlBUClbB9OwZin8jFOxpYvguBSXx39PgGiZ2JLDqc3BwEDShXG5ydYhCggsLC6F/8D4vLrtYLAZoqV6vh3NchUIhROhQw7+W0+12A2Tb7XbDd+ihi23A/hKR6O40nLvWmbtp68QKJJCCu/X9LHMZNRTUFvS3tTZ4/XlQeSqN1yaG07B8yzOUb3q38tPyPW2QPfys8lNjhmlT8577dxZI8zg014wrFdVdxI4Ab0Es3kbCk4vhuGnQQoqshTIL9GDlo2lSajvXk7/xylRYCj3N0KMNIUGl4XAYQVHMVC0vSzywWy6XpdfrmYIFQw0cSBc3U2tRI+lzi/kzNJLa5GaBW9mWhd5l+rvb7R6BQa2II5yPMhq1d+n4oK0RIcFutxvGp9VqSbfbjUI2IfO3YDJlTp4Nchbm4q0r7A/tM4sppuAvy/ai5M1z3vg9M8Cs+wTXS9uGfesxwlzu8OB3v983PWJT5WBeyvgwfNks8OI0wY2fT9vzpkH4x6UMKswoo4wyymiuaK41LpXiOIwP/mYVdZbzIpYEjc/196xQ2zTnDpTmmVLlcBmzQJreNQt8aBGle4QB0QkD64CHavmaeQ9Ow3NGg8EgHEbe2dlxJT6GQZUYVkwd4E71J2q9lgTOB2kZOmE4Dcu3+h3hTq7bYDAI2hSejavX66GvUQtRiFDz1qCsmpceZN3b2wvpFZ60YChsB3rHafuxzy2vMZbgeQ5wPEcRW7ueBm3hcx2DWdAQS7tO9QH+Ts2jlOai42HNV9bOuG6q1Vn9y+vCM0NYdeIycW5ZdZvFQxDPHaYQiruluWZcCgfh4PACU+JOwkgTqD5bk8GC1DyseBrebpGmsTa4FLxn/W3VxyNkUHjYdDweRx5+uVwusosojUajADkNh8NownPfWDg/ulQPh8Ngz9FDy15/WDCojjsy4lmEh5QNg+uLvz3IyIJ7U3OP4UX03MN82u12ZAPEdrJtQwUAZHAHBwchyG+v1wtMDO1l3B+4Lvr9/hFGg+PjQYXeRm/Zzqz+4rw8CNyCNPk77/Btao1x3iiQ8XEaS1hKbdrMEPQ7FDhwjViMYla4zfOoxPFhwcRjhB4Ez/04i5JwtzTXjEuJr6CwMGnPPqBkTXxL6rcmMX7Lgz7LpsvkaXpct2mLgsvQ9OhWjfXGhaPfoGu7EgastZi/1a9W3fC8Cm7M+o2+4+s9kLBMPlLA3+hvT6Dh8UhJ15bdRSQOIutpxClJmeeN2p56vV4QHrrdbhQSCO1ltVpNTp8+LSKTUFLXr18XkckGiBEY8GqM1Jz0NilvA2XGx7ZP7if9LnX+btrmbAmR1gaJTNX63mOEVr4oGPG4pi6P5LVs1ROPhuBt4ClhlPPmOYlMyRJ6rPy4TiJpJ7BZ5pG3Nx6XMhtXRhlllFFGc0XHZlyf+tSn5Pu///vl7Nmzksvl5A/+4A+i9z/8wz8cpHf99453vCP6ZmtrS97znvfI0tKSrKysyPve9z7Z398/duUV3srlckF6Z1hPJQH0VEIJFYNQWtqH9Tc+439KWm4K9kBC/NorS6X7aR6AmF5hB9Wi8F8ulwvvyuWyLCwsyMLCglSrValUKsGVWvtMoUH91+v1wj/tf5QOub3aBv1OXdYHg0GwswwGAymXy1Iul8P4qJRnSZo4niq5p6Anazy4rvodPsfxwfnijSP+tiRrqz8UKlQtCPt7OBwGTQn7Sr0Atd9LpVIYu93d3eif9pWWZUnw1hzGdqhmbf3N/3D96fxUUvsm2qSsvLCvPJiJx4o9YWeZO5gOx5e1CGuucD1Zk+BIGJrGmxNYlt5T59m6sD763WAwiNYs5o3jZpU9y77n9aG13q390dvnjkPHhgpbrZa85S1vkX/1r/6VvOtd7zK/ecc73iG/+Zu/Gf7WDVDpPe95j1y/fl0+/vGPS7/flx/5kR+RH/uxH5OPfvSjx6oLbhCe+sudY9kerNP6XnnT3HE9mNF75pEHd3rwFf9tnanikEAICWI0hFKpFNozGAyk1+tFxnvr3BsKB8g82Q18PB6bkciLxaJpB2NiqIKdS2aBH1KQxqzk5YF1sxw1OA1vjgzJIKyKrv4W5K3wkt71hRc84hhiFAzdaC2oj+s5yzPPqQXnB6edFTJKCYLWt6n02O/6v3UMYFbCsWKXc28eeFAbBj1GR6dpZB0f4f2K51sKDvfImuOch+cDgOlfCVR4bMb1zne+U975zncmv6lUKgFnZ/q7v/s7+djHPiaf/exn5W1ve5uIiPzqr/6qfO/3fq/84i/+opw9e/a4Vcooo4wyyujriL4izhl/+qd/KidPnpTV1VX57u/+bvn5n/95WV9fFxGRp59+WlZWVgLTEhF57LHHJJ/Py6c//Wn5wR/8wSP5oTFZRMIpf4SQPHdcT4rwILeUcXiWk/JoiNX/LcPmNMlxGoyDRlYmCyrEd6hZoZSmbW+325G3IHvo8SFKrS9f5YG/LcnbgzxV+8O+wvFFKTLl9qs0DbK1xuo45DnCeFIuG+4tqVd/W/dx5fP56IA3xsIbDoeyt7cnIvGVKQrHWv2RmovW3LSk+FnSe45R+M7T5vk397Xn7ZvKC9Nzu6z+4bT4Dc4/TM8ez9ZzKy+llObCc8rS7FT7s+YYavEWNDsLMsHj631n9eFXFSqcRu94xzvkXe96l9x7773ywgsvyH/4D/9B3vnOd8rTTz8thUJBbty4ISdPnowrUSzK2tqa3Lhxw8zzwx/+sHzoQx868lwnwjRXT/we36XOe+n3XnQOnth8jsyCDKe5/Xqbprf4+W+E/bAM9UDjDQexd/ytEcOVvOCg6DXG7xk6shYfu69jRHm+GFPz57BQ6uGYglO8fuZFzfl4cC1/NyuUY53NwT7Ad7pxWAwf5zxGCOn3+9LpdAIMiG7vavfQ9NwHuGlNc+ln+DflOYv25FQ/WQzaYxhcH2vztKBLFqCQ2APS63dOo2WkYG7LTZ4ZUi6XiyLS6Pk9hlg98tYfU0q44m+sd1p36znPI4teCbNCetUZ17vf/e7w+81vfrN84zd+o9x///3yp3/6p/L2t7/9rvL84Ac/KE899VT4u9lsyj333POK65pRRhlllNH80Vf8HNd9990nGxsb8vzzz8vb3/52OX36tNy6dSv6Rq9S8Oxi6OE2C1kGT9bM2NMHT7SjRIEODZ7KrX+LHDo2eBKhBW2hJChyNO4fQ33e/xgxAWED7bt8Ph9uURWR6GwUGoFRy1RI1YJwWIr24BU22OM5MsyLJXzMTw3W6okoEgcdnfX8jyVBe3PEahdLlDjH8LmVV0qrx781Xw+uYekaA/OiYwCf0bLmHtef24tpNQ070rBzkyfFs3ZpQakpqI/71EIBrPHx3qdgLguS5Hx5/lp1w2d8WzX+j1QqlYKmbHn/WWYRJIYhPcSG25uC9zl/pmmoA869aVrZLPQVZ1xXrlyRO3fuyJkzZ0RE5NFHH5WdnR155pln5K1vfauIiPzJn/yJjEYjeeSRR46VtzKVXq9nwii8+fHgIDyBmwJCbhiVGzcFnIR8UVupVAqqPkI0+BsnPk8QrCczLWZUyAR0U0AoCPPXstVeyMwbNw8tVxmx/o22xhQcwQsE+8paPOpeLyLBFd7D5RnG1PYjhMX3GFkLh9swzT7CbRRJwy0erIuCAcNuSjqPrXccngmhQhS0rLnO6T3Gi23Eumt6hjctWwmmUyjOEzC8cnFtpSDzWTfDVFutPFL5WfZhfW7BrewRi3MH1y8HGkbyYMNcLhetBWzXNCj8uGTNfe2/u7ER3w0dm3Ht7+/L888/H/5+8cUX5a//+q9lbW1N1tbW5EMf+pA88cQTcvr0aXnhhRfkp37qp+SBBx6Qxx9/XEREHn74YXnHO94hP/qjPyof+chHpN/vy5NPPinvfve7M4/CjDLKKKOMptKxGddf/MVfyHd913eFv9X29N73vld+4zd+Q/72b/9Wfvu3f1t2dnbk7Nmz8j3f8z3yn//zf46gvt/5nd+RJ598Ut7+9rdLPp+XJ554Qn7lV37l2JVfXFyUfH5yi67CJSz9KbH2xZqGpaHU63VZWVkJf/PdUvg9Xn1eLBZlYWEh1Afjjmk91ZCu33jamMih1oVwIGokmgbby+d09Bk6XrCkqIQSo0rX3l1AFqTCkiRKfez95F23wJoMamYWXMMSKsOT2E/42ytn1rM8rG1jH3CZ1vUUKacHT2vFd+g4w16mnuZgwU3T2splI+znSfTerc9cJ9YKkKbdlWe1jclCYNgJJaV9WO+4Dxme8xxb+BlC8rhHWjA4p2G41oIndXynaVfcHqRZ08+ineLvWdaXW974laT+GlGz2ZTl5WX5pm/6JikUCvLyyy+HAKIcdNTDknmyoou4Mh21q6CXFsMsmjfnhRuyTshKpRKuYq9UKsHb7+DgQO7cuROih+CCR5d1XByVSiVidnrCnts9Hh8GbuWN3NsULPImpbeBeC7T2Dcih5ttuVwOV86XSiVpt9vBrRvbiWl5PLx6perLTNVrs7WYrecWsS1ilrx0fiIjteAn7M9isSjVajViajrG2Fe8RlJ1ncUrkBksQlYIx2N+HlnQ1rS7pKx64ZjOsunymuF8vHKs9J6t1pp76C27uroqIpPx0SM/vN9g/3FfIhzPNke8JcBqG487Q6fYhruxUVlCiu5Nu7u7srS0NHNeInMeZHdjYyMwl9u3b4uIyPb2drDDzGJUFJEQ8khEQoRykQkzODg4CPnwJPKMl7wB6SQ6ODgIzAkvZFxZWZF77rkntIHDX1l4NzI5/F/LtOxAWHcmdAdGxqlagLWZaVncZk+L4fLZUI+bHC9QXOB4Qy+m5zHxFhZvat4Cxe9TdlNLgrTqYvU715PHwDrrw+XgJiVy1B6lbbXGTcuxNmvPZpHa6DFvnFPMdD3nAdZg0XZznI3Ss1d57fS+46MQs6S36sFpdB7p32ibxAtFOQ9vb8F3yOB1LWEfWkyI01vz3CpzVrobZpeiLMhuRhlllFFGc0VzrXGpN+HGxkZQsy9duiQ3b94M75XUWxCvRldtrVqtBk0Lo3ToXUUpG4mSZ29CTULLFYltVFqmtqFYLIZ67u/vRxEPLO1P5OihVqsuKi0hRu65x3oSMt/b5UEpnjTq2SBZG/DsLimvJdQc+LgB1wt/T4ODWKvi772r7vk7q0/UPqJ9wOVjXEdLo0JS7QQvBJwmaVt9hOV4Y4raFGp9qfHx4EaeH6zJWRop99Us2oLn/WiV580ZLJ9RCU8DtfLh/KrVaniPh8pxfiBkzuQdWbHmlGfzS2lFHpyeIm8PQG3Qg/qn0Vwzrs3NzbCRKka6sbERFvve3l7Y9HURoz1AL9wrFArBRob3FqUGECm1GL1JMx6PAzzZ7/el1WpF9Wm32yIikau/5cY8zc2b7yrTZ5rGItz0eUNio7wFKzG84tlNRGJ3f47cwRCYprX6G6PIK1mLJQVVzLrhsBPFtDItN3DsK8tuwTYuzBuf4fEN/d7aDPBMF8JvCs15jhbWkRH+O5fLmTCzNb8sO6x37kg3bWS+1pxAYqaDNKvDBD+zxsqC6ay+8oQXracKz6urq5GJAwVf7rNp8zQF41qwqPVdilJpUoIBl38cG/uRcu46ZUYZZZRRRhl9DWiuNS6VIvf29sJVDnqnlP5WSbDf78vu7m4Eg+BVGKqZIbx4HCkEyTPIshSCEifCmIPBIPKos+64YmkGD7Wyi7Sn7eDfKa+1XC4X6oYHr712o1TIBn6Wwi0oy4IK0QnF0ixVE7MgDU8bZQk2BRl6sJL1LfcBOxeg5uAZu63Dx562j23GK2nYXRrnEebNh71Zo+O88Lm+8+L84ffT3OMtsmB2TWuNQUob8DQR7lcL3uby8W90fvDy1Gc4B2q1WjAPnD9/XnZ2dkRE5M6dO0fapb+9tYzrn+d0SkPjtWD1AfdVar5b6/krQXPNuKrVqhQKhXCZnsgksrmq3IuLiwF+q1arsrKyEiDBW7duRRHQlazNy1rIDEulJofnkabl69X0CM8hbIZleC6w/Du1KVieXR6Uhe0QiZkiTmI+N2VBBkzexE7Zh/h8C2+4zPw4PY8lL9hphOPJdWUoK2UXwzZY48HvuA4WU1chxRof3Og9RqlprHLYhoPvUDjiSC9oU+ayLdueZV/y6o3wZGrTxTZgvuzVyueyuEzvnJYKH95ZJeucXalUkuXl5Whenzt3TkRErl69GkWoQfLWNTMrntPTTByYxvK29SgFk3trzir/uJRBhRlllFFGGc0VzbXGpVDh0tJSgNbQqN/pdMLh33K5LLdv3w7nn/b396PoEt65CZTcvQOQTJ5RnfPWeqp0pXVQpw3+zpPUrb89YonHgnhSsBBK1ykYA9Oy9OXBOeil5kG2rAWgt6N1rovTIM1q7E495/Z4UQFS88GCorzrTrStSAwLW1of5sEowCxQErYBPQqZcB7i4WirP6wzSDim2rfT1g8/x7ngpU+1O+UsYpFqb/ger+jB7/S5ejEjUrS8vCwik4g9W1tboWw8W4pnvFKehBb86dVd36f6Zlp/Yl7620rzSrQspLlmXPv7+5LP56VWq4WOQSwfA7eKHF5DLxIzIQ7cqsSDz3YgayPw0k57PhqNwoSsVCqmrcZKg3WzyNq4rAOd05gyH1i1yrcgM5201qLw6q+elJjHtEOoChdZbZi2iD1Iw1p4DKml4OJZ+pOhKIT5kHmh96AH8VgQEUZNsb5jGNMbH/xGN8xpF5nynGJBw2q39durh/fMg19T0T+475Hhet6ySHhMpFAoRAEN1HMQ4b/FxUXp9XrhMP329nYIRM6BklOM23rnHQXRb3jdczks0LFQ7Nm4vGfeusygwowyyiijjL5uaK41rr29PcnlctLpdExjqHoXikjwOkTOb50pwW/Y4J8yqltSn8hRqEAlYPbk4jMiVj1R81CyNCqss6VJcblKXjy5aUZpzJO/Z42LyZKMVXvCd2iIt8rhurPjBpIlCfI7/u3BKDg+LJV6mh6n8SAz/JuhHK8chMnQA9ODa1Jjg/XgOnrOOzynvPxSz7g/LW2My/YgRA4h5a1LXI+lUiloScPhMKA0CwsL0fpVUq0KbzDWvMrlcsirUqmEPaler8vt27dDoO2Dg4NwTyE7m3hrntdFCmXAtJ6XpAf74d8pp7RZ0uN89aDOWWiuGVen0wmbuU6aQqEQJorIoWvpYDCQRqMRDQBGGEDiDcLbtCzVnIk3UIyEgM9x4WjEDsxDy1FKDbp375FI2oPSY1DskYbeZJjeglGsTcXytuM70dhOYTF1q5743IM0sC0pGINhLq6zVQcsJ7VBWFAw19nrR2RCxWIxghPRIxXnHntZcl74DseRvQL1G/zfWxcWg7WYpzee/C3C0SKxNyUzb6wje/NxO1XYVXhvZWUlBMPe29sLcF6lUonmvtZVj6zgAWKt287OThT0QH+fOXNGyuVy8HLudDqyubkZ2m15KObz+ejC13w+HzHSWcwdPPc8YQaJBWkrr5SghukYcr5bmmvGpR2PdizUStrtdohAkc/npdfrBWeNTqdzZAHybybU5qalsTBq3PT1b/xGF8vBwYHpkKHt0LSencAz7HuapYgvmSqz5c2ey/QYADMHXARot0EbgfaF5rO9vR3ZJrkv+Dm3jRdYytBsMSgvL62Dt7l7dgFObwkZ2rfWQucFz2ON57WszT21wbBg4Y1vqn89ad9jkJ7kn2J23G4mKzSTNwblcllyuVxwgiiXy7K4uHikD1CDbbfbYU7iDdSaXgmFUAzlVqlU5MKFC7K2tiYiItevXw97VaVSidYC31JhtRM1Lmtv8pgIrkVMk9rfrPHVeey9S+2rd0OZjSujjDLKKKO5oteExqUqNBNqCuo5qFpNuVx2YxLOIn14UojWyVPHLQlWJRL0AMNyLIzfOvSoxPfxIBzHtgpLk+J2oZbiYeTTJCqrDxgW0sPi7EI/GAzC/UQowVrayDTvQ2sMZpFQvfzQy3IWjJ/J80ZNaRPj8ThI4QhZIdqgddM6YaxCkcP+0otC+bn+tjR/1qo8D0OGHVl7ssYR257y1GXtmPPCg9DYHkvDL5VK0drodrty9epVETm82kgkjqrD6AkSvuN5rHndvHlT6vW6bGxsiMgEVcD70jAN7m0WYsN9w8QasrUWp0G9VvlW+71ykLwjEsehuWZc1iAOBoMwGMVi8cjtw/qd3p4sEi94yxDqnemw7BSpDcuzBfDm2e12zUHljQTtKEgec7LC0qSiD+g3nss2M04LgpjWB7jRIFRTrVYD5FKr1eSFF14QkXgDtjZT79JBa9xSC9TD8vk9t8XasJg8bJ+hV69OagMUiec4XxiKdlAWhpSmuYhbECC3jcOAWfNABUy0K2M90UatZPUh9g/+RkbFTkO4H+BNC9pfehs5Qn/e2kRBj+ukhHsQ96eWv7u7Ky+//LK8+c1vFpFJcHC9jw8FEzZpMPxrrf8UrMvr2RtTTsf5c5pZIWJcf8Vi0Y0QMo0yqDCjjDLKKKO5ornWuJR7c4BJNJaq5KLwk7qf1mq1cFK9VCqFNO12O/xmg6OleWk5nvTODgSWtxBqCiKxc4Zn/GfDNh6i9ozvlhToeSZ6DgRW/ZksGAf70GoHSv79fj/yAB2Px0ckca6jJX16UEXKOYPhW/2NWia7W09zfmH4D6E1C77jPtR3FoxoIQKoFXiaO0PRWFd0AvA8Jq12cj0xvTqHaN3RgSGfzweYuFwuH+lPzQMRExHbq1DvssK5hFAbBidgLcByfhgOh2EPQWQG+52PbyC07lGv15Pd3d3g9by+vh6i+rTbbVdrZqSHIXLtD4Z4U9A5v58Gc3sQYWofRGcTRAvuluaacWEnWRsbq/MIVRwcHITOXV1dDee8FIPW9AwVKPFA42TCTadYLEYMxWIixWJR6vX6kQssse7cHoYKvcmFC0qZoE4Yhge99NadXpqfdZaKv5sFgsCzL6PRKPKy6vV6EZTkQR28YXh4u8fQtE1cf5HYdobtntXOgHkgo/A8M5UBWHMc5zELRijAMJO17EtW3az6aDqkaR62eCxF3c31WblcNpmLHnHROrGNCO1ASJovMhP8m+tnCZjWvMD5hsKVZVJABmOl57HqdDrBlvbQQw+FOwW73a4rGHDkGut4i8U0vbWQ2ttm2Rv4N9vg9XdK6L4byqDCjDLKKKOM5ormWuNSTYfhEYRUUDpBQ3a73Q4SQbvdjuAAD+bSZ/r/NAlNy/UcA7Quem5DDyOiFOUZSFN18KAc7RtLA/QMqPq3d3BZic9qzAI9MGyAd37hnWRadxE/VqKW7Z1rsQ4ws2SJ84jHisuZpl3huThLe2LNivuGYSGkfD4fQeDocKDPuN4pGMeDYqddYWP1qXroicTnkbQvFNHodrtHgktbfVAsFiPYy4PgeJ2kNEUldtrA+YBanodqYH1x38G+YmgTtY3RaBTu4Nrc3JSVlRURmThu6F6A+0m/3480O49Ys0s5UVjQOLYJ/7Z+47NcLhcgYM6LEaZXSnPNuKwJyQtQF3WhUIg2R0w/GAyCW+pgMAiw4XA4NLFwJmuizmJnwEjRnU4n2qiVeHPmjdmDADxKbbjHvd8olbe1SVv1xAmt0OB4PI4EC7xMU+RoYFrMd5rNLmUTYsI2eHYxj7gents81o3LFJEoXJC+Q4bAMBL+zxsGljcLU0Omatlq9VmpVAoH+0UO7VeDwSDYbZQBWMIE1w0ZPrqge8Tjw0c7PJsM/s7l4ighFuPjIwXYH9NgNSW2YyrzvnbtWnSTBULBKJR544ZlWR6PnrDq1ZMZnLe3eHAfMyecR7PsU9MogwozyiijjDKaK5prjQuhQqV8Ph8kF5bA1eNIJJaS8IDr2tpakHZ2d3cjyZChpGl149+5XHwfj55bUg8jT5OwPNqs8j04DKUuhLBYe5jFw5CleJT8Lc2UJXb8DrVOPUsjEsMzmsaqmyU1WzAiB571oEsP3mBtiaVRJCzfcsDgMlMwarFYDHMZNRrV0LnM8XjsnnPjsvA3awxYB/QK1DEoFouRloUaQrvdDohFv98/MtemObNw37IH5DTIS/OdhpLgPGStDtcZQ7lYBq9FT5Ox1phqT5pmb29Prl+/LiIiS0tLEUTL6VOQJZPOPavfUvOYkYhpUCGWp9+gowZ6Fb4STUtprhmXEnZkuVwO3jnquaO/+/1+5IaLEMD29raITBaexg/L5XLSarUCLj8cDiOocdbJgLCPuv1WKpWQ797eXhK39jzluA6el5d38Zxnm0tNWq6PFROOIykgg+r1eqaHUavVig4jYj/ixGcmxszBck1nSAqZi7cgWWDBb1I2E9zw+Le1eLGeuEmVSqXgiad/o0cs2rUQIkzNRUvo0XljjTf2O9qHlaFqGjy+gR6CPA+xrgh78fyyvsF8rD7kumOeGOvPmuM6d6bdU+cRt4MhcI+JMiPHWIVW/dXGNcvxCwvm5raJ2FAfe0Gm2s8MFtccRnfB/UD7eRYY2KO5ZlyWVpHLHRr8C4VC2AwVk9dNvNfrhU4ul8uhEzudTjCMrq2tycbGRpAg9/f3zY1JyxU5GvIJN22M1tFqtQL+z04T06RJ/GaaBuhJi1wOO5FYZVuE+DtGqkatCl2fmWnhJMYNS0RMt32OSpCyt7FdBvPG9B7m7vUt/80aP/9mjYsFBpwruthLpZIsLCyEEGUoXKHLuHWuydPKPS1P68H1ww0Yr/ro9/uyv78fGBSfS8OjAtyHHvNG4jli2XGsdnnvkZHiew/h8Ow7SJYdzWIcHvF8HI/H0RUnSnichgnLQcHT0vA9YcDSLFPoxTSkCetjzTcUHu72ShORzMaVUUYZZZTRnNFca1xICFWoxoQSiUr+1iFBDkaq39y6dUuWl5cD9Li4uBi0r26360pyhUIhirunkku32w1SFcYgw/prvS04y5LqPCjIg4tS2oKVhrURtHXw4UovMCxDe5aLNUrnalNSLRjbgxIoH31gSdPTfmZ18/U0rlkkcp57+B1DghjsVbUaPZSuaZvNpnnfEx98TY2vV3+uN9YHbWsKZXW73SPeuSlPTyzTc2dXQiRDYyCyJi4Sz6nUQdYUFGxpK/pdSpPX/z2NlrV4y77rBSUWidEga65Z3r+MMKS0WK6vktenlieuSBw0QPsDvSHRxqWkJhsR+5qWWek1wbhw4QyHw8AcxuNx5JZZLpcjZmMxBF6AzWYzbKCLi4uyvr4e3qtDB+L6Ong6WL1eLyx4DFkzbRFbEyW1KaUgL+t7zc/K23rOUKiSt2ng9xhyBxcYntEZDoeu6z+WgwwSI4ywXQHHHeuLkSV03D1HGITwlKz269/oxIHlct1yucNQZLVaLYIH8aJRDPx6cHAQjYm1QahjhsWUcC2kLhysVCrBrpbLHbqIdzqdMI7WvJ02X6cxf8wH7abMbKZB9R6jtohhcqu+nBbXL849TyBjwRD3GRS0UCDEuc9tZKaK68La23R+TjuH6TkzYRn8G9uHEDCWq6TziB2v7pYyqDCjjDLKKKO5ornWuCwJhL3+UEJotVqRhON53iAhLHJwcCBbW1siMpGU8W4vlYz1Cm81sKKWxdI9EkI+3nUFmge2zyJPM2PJn7/1YEPv+5S3HpfDcJnIpJ3Yb1gPhIjQo40hSfRMGo/HQVsol8vRbbMalWB/fz9oyhoTznLiwDpzOzwPylkcMEQmmhVCyeitp3mpN6t18zOPIzpQ8PEP/AbTYN+iBrewsBBFucDx8aBt1lasYMLs9elp+9x32D78jePGewDDtKgRW8TetlYdMG/+xvLWnebYwxoZphkOhwGiTe0FIr4jDmtQGMvRMpdY69qC8bW9IkfvcmPoEM033l2Dd0tzzbiUeBFYXkjaoQh3WPiwhYOjTQWDgaqXF29+vJlO2wwRvtK/LbJsWpbnDkMV3obKk9GzpVnfYh30GbvRWvXxFhhOdP0ex8TC32u1WhTCywq3pel1ga2urkaBWvFsH5aJC5zHF/tqlruo9DtkULiR4JzUMjudjnn0gtuDG4f2oeaH9kBmngjpoG3NC8XEm4y36eF60TZpObgBWkKUPsc0XjnD4dCEgy3YzyIcUwuSnAa7I2n6afbiaXYnhhE1H5xraINHT14vbJa6oiNTVJpVQMb8sG4499Q8os9QYOfINxbjPC5lUGFGGWWUUUZzRXOtceGZKQ/yQmiwUqkEj0OEe1D6sqQizwhsSSvTJDUrjUo+llbiSbosVbK2gFIaG2anQTQsjfK3CCVYB5DxG5aaR6NRkJRRk7LaiRKoVX65XA5wrUqjlmTZ7XZlc3PTLIcjibCxmckaV0vLwj5UjQa/8zyqEJrDvsM5jg4U6Myg44FQn2pPqNXjeTE97KrrAqNdaP5MbHhPaTg4ht4h35TkzWiFp+kq6ZxCuHKa00Sq3jwnLJjaQiemOYlovhZiwlor1xm1H0uzw7Wozy3PU/yOf+N+wnArrl+sP58l4xu5Nf2rQXPNuJQYX8eJpr/VfmBhyojNWhEkLGbkMQocOIss+IrhDW8j4InO8IQFL8yK3VswpPWONx8LKkSvSiULprLqYH2DHofsiYWRJSqVSrRRa/8OBoNok8Fx944bcL3QnsEwl8Xc9fiFloPtY+9S654tK09lNo1GI+TV6XSCF62OjZa7trYWbLLdbjeCmNTGNhqNZH9/39xkLE9B7duUXcpiSrwZe4wP57RlK0XijRafWwIE1xE9gT37G27ahUIhOhCOUBi3yesbbr/VPtz0GeLlctDW6gmkDNVZ9WJzQsp7EOuO9+RhOThHisVidLTFs8sdhzKoMKOMMsooo7miuda4VLNgLy8lNCSWSqVIkhkMBtENrUoIAbKm5Wk4+I313JKQ+Dsux/O+8urCeVv5KnnwhGdcRvLgCSyfDeyYj+fhlPKaY4gHtUmMb4gQHH7HsBJCIOPx4dUSXI7mlTq7hXMPJX3UBrWu2FY8y6bfFQqFKIwSw2R4OBm1LC2z2+1KrVYLedRqNbl48aKIiOzs7IQQYwgnorbFNA3WtTR8fD8N8vZQBa4D9oGlHadgP9T0vHnEdWVoDEOQqcZ1cHAQPIcZ6p/F6YD7EDWZ8XgcedGixodwuAf7Y98wNOtpPDi+1rggPI91w/WNfY1rBueXt2cel14TjAuJbRO8qVgdxwdZkbyFxIuIyWJCnvrNMCN+Ow0uSTEypVkgDA8qZMbjLXauJ9pdEK5hXNzaSBQ+w03Tgn6wvxR+s/oS24HMjV3bx+NxdPgW3Xlxo2EoCftD212tViO3Ye43vMJe24mMApk6txsPvGPgZ32u321tbcn58+dFROTBBx8Mdr4rV66Eu98U8rL6lOEjnhOp+Y99hW1A8uaUx1wY7rLWlVVH3sS5fZoGb244efKkiEyCDGC0e734MQWX8lqcBvvr3x6sykKXBesy1Gk91zTTbNFWfZF5a3o8cqLerCjcTLvf7JXQXDMuqzN4QmjndbtdqVarkd0DpSpL6kRjNpfnbYz6OxWGx6q7h/Pz7xTebZGXL5PnCDCNKSNZm55li7MiI3Bg3lKpFEJtYSRyXoioeXS7XbNujPHzhoWLF29h1jywfA3y642p2o7y+XwUMQRtXvgd2gNRmi6XyxHzHA6HsrCwICKxy7qeRdN24HUnuVxOrly5IiKT4wK6MaOr/TRbleVOz/OV01lk9dc0xsd5Y38gWWvRi/RuoQIisTZ1//33y3d8x3eIiMiXvvQl+T//5/+ISBwIWuRotIhpAqLn/s/tQHsVCw/eekaGxM5kHlPjvPCddWmlEgqUKEwx2sXaGOfl+QHMQpmNK6OMMsooo7miuda4VApkzo1eL+ixdeLEifDt1taWKTGiFoASOJMHFabcPT1cXZ97WqOlWer3Vn4M27GkbGmQLPkx1GJpSSjJsSaE2D275+PlkVg3tDliZJJ+vx9d9aBparWarK6uhueoiWBsPdb4sJ8RnkPJsN/vh/qgNlqpVI4EN8X0+JylZasctMNa2o+mWVpakkajISIiV69ejQ65o3aP+RWLxdAfu7u7IRoDp/U86nhes6TsoQIp+NpaM57mrjYU68iEF09P22/ZwjzIXe2ROpeWlpaCPbDVakX9MYu9htuM5grsu5TnLfahzgG1y1vRVDyTAq/LVHmp+lgH3i3yTC78nvM/Ls0149LFxHYP3HR10BcWFmR5eTm8a7fbkeu0tXBF/MnOE4U3H8twjdh1CmZBZswbARPCnbPYjjy1nZ9xmR5EY9kP0NajC8JyYEB3WixLz2SpTYYj8WvezWYzQG4LCwtSqVSigLU6voq/az0RwuMjEtgfVpQVayxSrutaRioaihKHaEImv7S05I6FB2FjvYfDYQj2zPPNs3Fhm1KwziwCEAtnnN7aJBnO88rF9WLlzwIi03A4DLeQi4j8zd/8jfzVX/2ViEwYF9tEsX2Yv0WWAInPvY0cxw3LwzHF/vQYlAWjTrOls1CMdlh2OOJzh1agX6TjwMspyqDCjDLKKKOM5ormWuNCwz/DC0psjN3Y2BARkZs3bwZpwbtbSPNCaQ5VZatM1UIsyQLVcQtSQenWMviyRuBpY9MM5ykoxyNP65tmkOZvCoVCcDLY39830/d6vegaD9bm0LFAtSp1PkCvPBwfvEactSfUwCxoGDVLnXNe/+pzhBr18LuldbEnJkrQCHUXCoWgMaHHJQY6VaM+ziO8W0uDC1vSMCIBmH5WCBDJmxOpeZ36bWlMXlBbXa+ew4Slneo8wtvSPU9gHVNET7ieiCpM0xjRwUPT8513KcRFifvT865meNPSILVcNLPgERalwWAQoRKM5ngOGRbKc1yaa8ZlQXoIG/CmsLe3Fzq6UqkcYTb6W4mZEE8cy8V61kHBQdZJy95A0/LhSTINfsCy9LtprvrTyp2GU+smpxstXkyIzAU9qdjbL0V4Up89obgeIvHFniIxo/JckJnYA9OCg3K5Q5d33NC0XfpMvRRFjt4hVi6Xg2dlvV4PLuwc0sgL6YVn5hAi5XvDLOgQ663fWAKYlUdq88INzBLiMM2sQpLIUa9ey/5kQXFWPXFM8LcHs/M7b11iv+uawNBbGIVCv+NIPh7xPEQbM/7tpeHxYEaKc0IFfj5GxPuX1R+pMTgOZVBhRhlllFFGc0VzrXEp7IPOFaxaqxRRr9el3++Hcy6Li4vBGNvpdCLpAqXClGrNV0roNx6xZOml8b7z8uRvjqsRpZ5Z0rCVBuEJ9mxDyb9YLEYeW17wT5QAWUPy4MB+vx+9Q0ItztM2PI9J7BPWjEWOQpkih5FatM7YvlKpFEFbOA/wPjGEPqvVaqStcpw9bKPmV6lUQpp2u23Cgei1x23wyJqf2IYUtIXttqBHPqxqpbXq4MHuXrss7cBaQ+xxidrPrBCe5/hVKBTCjer33XdfgIK3traiq3e8M5EpcwA7uFioAJ5l5bOJCBXiPocxGrEPNC9r7F6JZuXRXDMu6/Q6byKq1rZarWgA8VBpahF4sIN1rby+nyUCsqUy3w3uj4SLzSK2i3HZlmrP77xJyBs6Yvf5fD5soOPxONha+HJCPPDtwVcIo1hMBDd0bjuXabkQIyO1GJz2Bc4DtEdgu7UuGs0C3eG1PzhqO24W4/E4RG0XOXRjRxsXrgFNg4xLqdPpuBsoj721LrxNSdN483kWJoRpUr+xrz3YTo83WHeZpdrMZVo2GczDW5/TCPsml8sFF/zV1dVw3GFnZ8eE4GYVcHEPYps/pkFoGknnIc5XhPRnhdSRrHl0nH47Use7TplRRhlllFFGXwOaa41LyYPGRqNRkFI3Nzcj6IS1NdRW9OCriARYi9OMRqMAfy0sLEQHX5G4DJSKZoEXrTystjNcY/1WTcaDGlhq1TanaBZNbGFhIUBg6C3oSZMIsWG9mVB7wjN9Vh3RmYE9oyxI0moj1g37CjVAPgiLeSBUp+fPKpVKpElpvirZatmdTueIl6L+xvOI+fxhaCmExrk+qQO7lrZhQWmWZuRpQjxPPIjWg+y0fdPWjJoOuHz9fVwN0AuX5LXFq5NI7OWpc//69esiEiNAzWbziHOF5sMaoNVORgt4XVjaIkKFpVLpyFrwnKjQKS0F5b7acOFcMy4cEK9jMFYhblJ8JxKSbioiInt7e9F3Fkxl2UKQ0A5jefFxGj64qeRh90we7GExGSs/K5JCijFpGitfjX6um+vBwUG0CDxYydskcLHgc12sFv6OdhwvX83beo71spg/LnjMC+uC92Qhoe0Ko32oHUwjhmAcQywfYUedN9rWVqsVuSsjWfYubnfK3sT9YjFFZmL4nVfOtHngwXs8t7116DFbzsPywsMyvTVmlYPtxDSDwSB4ij7//PPhHR6l4DmFZWG/eX2WWrvM4NCrke1aXuzV1Hqynnl9e1yaa8Y1C1bKUq8uZAxOKhJvjOq0YXWwtUBRK0tNJE+andY23IB5gXv4Pf72NgVPM8P8dKF4dg8kndwosakkqZI/X0MyTfvTvkqdf8PvkFlYzN/avDwBJqVpYR2UceRyucjlHMtgiVbTLCwsRNEHlFZWVqRWq8nt27dFRGR7ezv0IQpdWLdyuSyFQiEwOzyf5rVL+9o7ioFzD/sA+54ZXGo9eo4x1rrQMrCvLa3YWgfevE7V0duQvbalhB5vjnKdNV2r1YoYks6PfP4w7Jxea4JlWnXj8hFB8dqQyx1GGdLxxStK8LcXBm8WJvZqaWGZjSujjDLKKKO5oteExuURS6VoQ0AJhCUZloCnaRhIs2hR1ncsJXkQGuflSb1WmQw1zKKZ8beeBIv4vYhEB447nU4UJNeDYbAuIhLZpfA7S8vU59Ni7mE6baeVBt2Q+TlfX24d8mQorFgsBq+xer0e2fx07vV6vaAlLS0tyfLycrgIcn19Xa5duyYiIrdu3Qp5ozaq1/NYgWA9rYEjTcyqkWMbvTSszbIGZ6Wx4K8U9MhtSq0rriun9+a10qyapfcc157OO2/N4aF0TdPr9aK5h2UxksC2tGlmAozzqd8jOmIFOrbaze1jQij7lUCGc824GLIQOdphuKhLpVJ0zgfxY4QqLJuUvvNsUwzteVEsUrAd/p5lI0Hivy24R/vLO5/Emy3+b8FpvOFgWoxEji7dDN2m+tCD6qy64Pjp315fWxEsOD+uJzJljFzBDhU4d5ABLy8vR04/1kaAG9nW1pbUajU5ceKEiIicPn06lNlutwM8zfXHSy/ZVX7aGHLbZ4VykVLn32aZvynBz4PvsJ5aBs+HFFnwotdubquW4c1LTyjQd7hPWHsQjhsL2Km9hb/x7PS6H+IFkSKTdYvRQyyGxXYw3j+s/pjlqNAslEGFGWWUUUYZzRXNtcY1i2FSSYO7ojqscI3nBs3Gz2leVl7dvGeeJDYrhJeCJKzvPJhG/0ftyfKYZEJpEA86lsvl0LfNZvOICzrW0zsUi5TqnxRNgzc5b0/74rQM8Sh5sRJLpZLUarUgoXa73RAlod1uR/2m6Q8ODmRzczPM1xMnTgTpuF6vBxgH79bS2HGWdM39z3PCa6v1LoUqeE5HOgYpSC+VHvPQ7625a2nrXhus/K3vvX1mFvTAgxc1X8wDg9oy/KtULBZdpxsPDve0QQ6ky32DcUCVvN/YJs3D0iZTY3McmmvGpeTBGPj7nnvukX/0j/6RbG9vi4jIF77whakboHYww0TWd7igrDxSaSyoIvUdPp+GuVteWvg9RxbX39Zmrflh3hgpQjfZWq0WPOD0uvMUzGPVPTWm1ne84XkwileGlcaDhXkDViatzEifa98oRKhMptPpBPj04OAglLO0tBRtWPv7+wESXFpaChFHOp1ONA/xDqTxeGyGxPLaye1LjYPnOcf2TSzHm0dYVoqh4XfeBsjpPWHLE5S8dWi12WobbtL8LsWIGVqz4E2MVJHL5Y6s02l14/qNx3FYMfSIZW9BDhLN3/Fe4u2Ds+xnx6UMKswoo4wyymiu6DWhcc1iTL3//vvlu77ru+Ty5csiIvLiiy8GCRk9d1B6VIPjNE0Iy50VlsK/GXLxoCiLpkFBFlSIUpElgfK16ExWcOFSqRS85obDYdAoPIhQ62O17zjeRp7U7B3OtKTRaeOIEqt6Rek7PJyJ/YL3jun/GF0FtST9vb+/HyRgHQP1xhyNRqF/i8Vi6KNerxcd6OaxwfmRgsKmrR9Ow3+nHDLwmac9eeWkEAOrnin0gtOktCIrUIA3Xz20xaqbZ5bAfSafP7z/CmNcFgqFaLwxf/Yuxbxw7EulUtC48GonnAMYqIHbPR4fvYfMajuv4Vk1/1npWBrXhz/8YfnWb/1WWVxclJMnT8oP/MAPyLPPPht90+l05P3vf7+sr69Lo9GQJ554Qm7evBl9c+nSJfm+7/s+qdVqcvLkSfm3//bfuofaZiUceHymA/LCCy/IX/7lX8qlS5fk0qVLEU6sA6sTC9Ve/FuZGrukWoR5aBrFrjnKhMfQ9Le2Df9xOVp3rS9+h+mwPVyu1lNdwfGfEj4rFArBnoUBXTXqu/7z6ot/c5+l+nWWfsN28zP8XsfC+k7rrwcw1d7AdVBITjcZvWepXq9HMKHmoZcWdrvdAP2MxxP341arJa1WSzqdjgwGA2m329Jut2VnZ0dKpZKUSiVZWloK5eCxDh1bdYnHMeC+xvrzvLLmB88/r6+tOWoRRyDBfHC9TYOcppWbWmc4btgGzBv7IiWQWrAZMyrOT/vBYma4Fnu9nvR6vSNzj9eitkfToucr/tN5xHMI24xHK/Qut36/H/YQrTMHlmYhyJo31rgfl47FuD75yU/K+9//fvnzP/9z+fjHPy79fl++53u+J3J3/smf/En5oz/6I/n93/99+eQnPynXrl2Td73rXeH9cDiU7/u+75Neryf/7//9P/nt3/5t+a3f+i35mZ/5mVfUkIwyyiijjL4+KDd+Bazv9u3bcvLkSfnkJz8p/+gf/SPZ3d2VEydOyEc/+lH55//8n4uIyJe+9CV5+OGH5emnn5Zv+7Zvk//9v/+3/NN/+k/l2rVrcurUKRER+chHPiL/7t/9O7l9+7YZz42p2WzK8vKyq/mgNKPvFxcX5fHHH5cHH3xQRET+6q/+Si5duiQiInfu3JGtra2Qlj3qpkEmKEGwQROvYsBwKSy1Mqxi/eYytY2atwdjeKF6PAmSz+KwxoUwBIYuUgFGtQX9hoMTW32IbUrVj9uDaT1YNwUxeQ4Y+NwKOYV9gJCgths9K3O5nOzv7wdoGm+OteqqVCwWQ/9ubGzImTNnRGQCOV65ckVERHZ3d2c6MM9jmtJcuY84L+wH/n0cjdmCZTkvq+xUnvy9B2N68KhF0+BTCyrE/cCKranf8HiLTCC8lZUVEYkPqCtqg2iRddYK4TxGd8rlchTgWb/r9/sBllZty+o3DgYwy8FkfI910Xbt7u6Gm75npVdk49KYfmtrayIi8swzz0i/35fHHnssfPOGN7xBLly4EBjX008/LW9+85sD0xIRefzxx+XHf/zH5Qtf+IJ88zd/85FyFFZRUu8qJVafLRqPx1F0+LW1tRCJwDtEynl7xHYFjq6MjJAXlZbhlcOTGyend8iP08yC0/Nz9hJj2FFkMvF1026328GTEBeqtZlOY8r4vfXbY2geYRreJJHwri+0C2A/a/BbHgeROGr7cDgMwhDCjFabuK5at+FwGDaT27dvhzosLCyEzQc9DFHosvKz+sti+NOYUGq+pgQjPsBvpbHqbJXlHU1hCBLbkBKauH3HYWZWHXE/8eY1r1EUsvU7ZEi5XC6C9vr9fphTyCC5zQrvcTmah8hkj9X+UaaFwjfmPev+yJAhf8/C1HHorr0KR6OR/MRP/IR8+7d/u7zpTW8SEZEbN25IuVwO0oLSqVOn5MaNG+EbZFr6Xt9Z9OEPf1iWl5fDv3vuueduq51RRhlllNGc011rXO9///vl85//vPzZn/3Zq1kfkz74wQ/KU089Ff5uNptHmJcnnamk0e125bOf/azcuXNHRESuXbsWtLhSqeRK4ZgnG39rtZqITK6m0PM2o9Eo8tZBDx08oMpnMGaVXBgiTEmNTBZUiBoG/sZYZwynqdZaq9VCO/TamFTdNW9rrDwoj9vI0j5rDl4+KY0PpVGFevv9vhlTzZLare/UmC5yKDVb7fHqzH3U6/WCBler1aK5h1AhjhVK+3z+0IshOE3TSNVRn6U0+pQWxflaeXP9rXI4bysPy/HDQhVYe/PqOwtakMsdnu3T9YbjouuqUqmYXrlaR3SmwDiXCF8jvOhBsepEJRJrb3wFkBemiZEMTMPhrFLr+27orhjXk08+KX/8x38sn/rUp+T8+fPh+enTp6XX68nOzk6kdd28eVNOnz4dvvnMZz4T5adeh/oNE0J8FqU2bxyE69evy+bmZnivi79cLocNi4OrepPYm6gKO2p+47F9IBSx9xT05UEQFoRoTU7uD77+HMmKs8eQTLlcDv02HA4DXMxMi5mDx3yPy4S4L1KwErbBs3NgH6LA4UX7QI9LzUM3o0qlEoQh3AhEjm5A+Bs3CBYk9NvRaBRdUqrP0aNzPB5H9jMWTCwBzIPvtN9SmzV/q3WwxsCChS2G4M13fs9MbBaGyNC6ByF6eXjQFs8j7jerf9m7OJc7PMiO0ByPm0i81qzoFCKH9jLLKxiPYrBwheWwPUvfzSpke0cKZs0rRcdiXOPxWD7wgQ/I//pf/0v+9E//VO69997o/Vvf+lYplUryiU98Qp544gkREXn22Wfl0qVL8uijj4qIyKOPPir/5b/8F7l165acPHlSREQ+/vGPy9LSkrzxjW88VuU9KdpiKuPx5FI+HAzt2LW1tTBpMISO1bE4cXUj6XQ60SbJmweGVUmdD7Fwee+5TgBPSkTC57zIPScMrBu6vOLmvrOzE2kbXj25Dh6TmWVB8DOPeXPZ3pzAcvGONoxQwPny2SIM1qzzB4PdcvtYu7XsoTpXcHNFAUg3HxQkNHo4Guan9aUnPFiUQjU8AYTTW0zK0oL1N2tGFoO0NFhr7L35YdXNIk7P5M1rZCJ423W1Wo3CKqkA0u12Iy0a80M0BBlfuVyOytcy9SwqanrYNxZzKpVK0b1uiBqlHK247fhsmtZ6XDoW43r/+98vH/3oR+UP//APZXFxMdiklpeXZWFhQZaXl+V973ufPPXUU7K2tiZLS0vygQ98QB599FH5tm/7NhER+Z7v+R554xvfKP/yX/5L+YVf+AW5ceOG/PRP/7S8//3vT2pVGWWUUUYZZSRyTMb1G7/xGyIi8p3f+Z3R89/8zd+UH/7hHxYRkV/6pV+SfD4vTzzxhHS7XXn88cfl13/918O3hUJB/viP/1h+/Md/XB599FGp1+vy3ve+V37u537uFTXEk7RR6kRplD3fFhcXRSR2VVZJASVdhYIwYoLmrd+gfQNVdZSQjnOXlwVVWt+nNAT83ou2gfly3uhCq16dfKU3pvfgMB4nDzbwJGVP6mUN1Hpn5YsSPWrbfJ0E/kYpWA90an6WZ6XWy7OVeZAke3aiJqXlD4fDgBboGHGsO6WUJuT1rweTj8fjqdoPQ3Ne3kjTPP+sOc4arDV/mSxUw4LdUrEGOS8PMdFxyeXieIColZfL5chD17Kbars0Dc4DRnYQVkRPRLyvDa8iwTFUexm2xzoalPIKtPYffv5KtK9XdI7ra0V6jsuLeqDE73gj0AV/8uTJEOHg/2vvWmPsqqr/mpn7mpnOw7ZMp+VRS0VIbUFFaBpiJWnTFhvDww8IqGAMBJwm8pCQEuRlYgkmftAQ/Qb/D4BKAhIJEgulJUipUiGlVBvaVIraoVqcmTt37ty5M7P/Hybr9HfWrLXPuW3peNr9SyZz7z377Pdjrd9ee+3//ve/0/YmeFEjOrofx54QiKZP2vl8Puqs2FHYA4N8R8t3msb28f9pqRLNOSou+HxWi90N4Xkky7y7UQpGvpMEa1G2Fi7r2IAvbjlw0cAG6xStaEdHR6NFXQ5oudhpdK2Wfyl48W+8WJZKpahtxsfHqVqtRosnGpjgAiapSWuithYauXkvYfVR7NeaoCLflbAWB184K2+WgCPft/KPzySlKePmecY5FzOawEWtVCpF/WhgYCAy9pLlYBqPKH78olgsxtoQFyHMA57XQoMO3NOVfcISEiwnvxLWfMB9/1jOcQUnuwEBAQEBmcIp4WTXglzpUerN5/ORhDE2NhYdokaVmyh+H47UXiwtA/3HcRz836I0LUkbpScOawElPmujWKargX3uEU1JgrlcjsrlMhHFT/LL+K2NWS1tHyxNUvuuldnKQxpoYaWRA26484FkovhhYI1CQelWYwLkRjxK+JahBea5vb09dpPtyMiI+j72b+mJwdI2LDpQvmNpQhp9rJVBamUyTFLflc/TWBxqTESjNLW0EOS0eOtA5ln21+bm5mgbAp0taHlDDR2PpvDvtVotatNcLke1Wi3mFQM1f7Qw5HSYobDaRNOatXwipdmoU4cknNILl49Pde6oqTyeQcIzXdVqddp5HGl1yHFhWtVqNXYOymo0raNL5HI5cz8MO4ScFCzawgIOJHTlVCgUqF6vR+XWzpVodYB0klU+Sb1gvFberD0Q32Dw7dtocWnh5GSPdA3nCRcAPLMnqRfpfd+ij33fcYHkz7yXgRekcppIbcs2lEckcK9HqxvtDBSGs4Q7GY/2u7Sy9Alt2uIkPWf4BJqkPMlnsm4sActaYOV4ce7ozQAoIEthFTE+Ph4bmyxA5XK5mADFn+WchXlDE3g5xzTablh27Z00468RBKowICAgICBTOCU0rqSNWg4jv6NmxQYHpVIpOlTL5ylQMkBrQUwDKRnU5ohs2shHo2m0kqbVWFINQtt05rzKw4lE8UOtY2NjVKlUzGtnNEkL49LSZciNbiufMqyWPsYjIX+T9JlGTfm0RCKKORdGrykWNYdWgpZ2jM84faSdtXyi1FytVqlUKkXnuorFIv373/8moimDJtTOURvEdK1+jfUhaUvL8k7TNrQ29n2WdBTGbWk1sjxavWlzhjYOfWnKsZREY2r0IGqKDHmGUI5ReV2JVjYer/V6PdYvZdmwnvBeuSQNTKsDTaOUOBE0IVHGFy7uCNYk45sgcLCNj49Hllg9PT2Rdw1etJIm3aQGs3jxtJSVNSC0DiahmaxqF0HmcrnIwqlQKEQ8+/Dw8DS6U+aL49EGPP+uUX2SKrQmEvnZt8D5nmlpyInBKht+xsWE7yrS4pZ1Zt0MgJOUTEtbCLHv1uv1aP+RPW8gfcQWh2h6jccY5EFnWQdyouXfLTpaLnYWpegTNiV8tCTmh/NoUdhWn9Di1dLBsslFC2FZGMryykUIHdlqnlmkmzeML5/Px/bIuE+Oj49TvV6PxYdl0MYfWhdq+UZY403ryxj+eBGowoCAgICATCHTGhfD0l6SJDoMy1QhEUXntoaHh6dtomuHd5MkkrRuahDaxrMmGWvSqKQQcONdStB4LTh/lleUWK6qfGWWny2N2CfpJ2lPsq0tiZifE+lWZpbGoxkp8O94tQRLukjxaD7mGNqBWVlOqanKcnM41Li5D3MdtLa2xqzO0BAA6wUpK0lzy3S1+pB0ns9voaWVa2VLykOjEr1vbrBoREuLsChMoul0Kx5QlxbK2A94zKLFMxFNowP5P/a3XC4XtT8aevAhY81ATDICaTRiX93gf6utMf/Ho31leuFKUufl776Oyw2dy+XojDPOICKiw4cPT/OOgYuD5udLpqWZUnN4jTqQcWnPGdYEyOXgfPLEKi22cI+rUChEHV96erfKaVk1apOA73kS0obx1ZvWHjJv1j4FUl5JCzd6UJF5S0MfITBvVltjGzDlzXlAerBUKkWLGO6LSTpI7ptiGSwq1BLCtHes8lqLvPXMcpjL4bUJFNvXt6D68qmlISk8jD+fz8ccePvMwrV71dCqmL204ByCh4H58DtaQnM+sdyWcCfrw5qrrLEs5yDfAudLPw0yvXAxLF5ddmgENqB0EqpJqUTTJRS8XgAnAinVW5Mh5sUaSFaHkR4vpJSHZ8dwgKEEmM/nozKMjo7GFjiGNpFZ0lNSmbX30/6etKhL+CYyDCP7iLXfJTU2rkPU1Pm5lheZH80RrjZZ4BkvmScNk5OTsXZk0/jJycnYwmUZD2kOf7kMjUrkMp9p+rX2zGoTLa8+4SDt4pTWoCNpEeZ8yXNyHEa2NwqbmlbE9YfP2E3U6OhojCWRhjhJCzGC+3ij2jH2c1+7Nyq4agh7XAEBAQEBmUKmNS5NYraoCnkanH/DeIimfBXyjczshUCTvliSJYofApUSB8ZtWW9xXjQpS9JX6EMQzVyxPES6PzkuD+adT9Tj1d1YT1IbRViHRZOku0b3IzgtLe40kpz1TNPiUAvXTI2ZXkV6DttNo5K5H2ptZVGImqm+ts8oaaCJiYnYvV2MYrEYtTv6z2R/dRr74HOiKvOL0MZYEuvg09a1fiI1AsviUdav1UflO9YepFVeOU7xM45FmT7/LxaL0TM81I71z+MN32GUy+VIs0vS0rQ61DRlaw6ztif4Pa0+04z5RpDphUuDnLB8rpNwsPLn4eFhmjNnDhFNUYVoqCBpSIsvt+gW3yIgF0iM20fN4eKLZeXPuVwu6uBMQXA6Y2Nj3vujOB3fXpZFJ1g8uC+cDKNNbEmTjzbY5EQkFw0rHS6z9JrR3Hz0XqVqtWpO7hYthLD2Xfh97ewXxo2TB++hWDfkotDDZ704DO5pcproPdx3njCp3Pi71fZaP0ii9tL0t7S0lGyHpAnWR5lhf7MWRO53+B4fR8G2wnzz2GUBpK2tLXZsBV1LyQUviaKVdSu/awJU2nq3FItG6EuJQBUGBAQEBGQKp4TG5aMDpKZgaRUombInhFwuFzNNRcnFkgZZMrUoI+0dfM/KI8clN6ol7cXh0LSWDQlaWlpiWpa0HrSg0Qjys9T4tDxqcWnhpDSaRrpPitsyxJESJMaFmgtKyoVCIdLCJV2L6fm00yRpM612gGVDLYwo7r+uWq3GNG+ki6WEjzf2arSjlsck/4aslVialUUb+jQzTZPRaEZNM9M0Xa2P+zQR65mk5rAfyfHM4Wq1WjROu7q6aGBggIim5gU5f+B45nCWY17ux9wnkhwWcD59/U+rQ/ksjTZ2PLRhphcu7ghIl0jP7r7OqZ03qdfrsVPnaDKOblEQ8lyM1SBpaQt0wmotGj6PGM3NR53k4qLMXqI1b/WSr7Y6pFUmpCB9lKhFwWFc2nctn0mDS+4jyN+179qCghMO36OE5sZJeZbpoDDjs9xramqK+iL2Q5zwcNGR9YKLKvYDtCZFIYdoqs/zd4wb25fzaT3DMmt1IWFRSbLefHXt669Jk6ZGQWqUsbXw4TyE34mmhAD8zEKjnI9w4enu7o7u5hocHIw5US6VStE504mJiZgDXWvvCfuOJSBbdac9s9JJ026+9mwEgSoMCAgICMgUMq1xofRjre4+yQsP9qFkypZ2fCYGNS6NtkAJWtOEtNPx0guHdhMx51M74Mjv4DO8aoPzhtcasMNNi3rxSWBJUhJKmUmSlHYuB6VZjfKT0q2VThq6R2oHmuaNWg2mwwdALUlXk7plPtHoQSsjf5aHVa0bZ2U6FvWFdDYePEdPIPLAK3p6sK7qwTrwaUUS2jPNecDxSOa+tNMwI0S6BagMbx3sl89Q65bsENd7pVKJNK6urq5o64KIqLOzMzKsGRoainltsQ43a3WaVB5JsSLS0Ki+cBad2AgyvXAhkB6xJkC5iGmDHxe0er0eo05QzZYLFHdObVLSzJhxseWOjnQYOnK1BgGfpJdlxZPzaKqv0ZxpBq+k53yTEb9rma/jM3yumR1b+xm+dH17LPyb1T5E09tIfubL9zRzZUkxyYUE86AdV9DKoj2XfUw7zCzzhmlh/xodHaXm5ubYFfIcrl6vx/qMb39Em4ywrX37IVrZ+blsL0tYaXQyTOrTSZSiFEzQ+z8KlFKo5r1FmU+sn3q9Hi1W3d3d0UKVz+dp1qxZ0dg+cuRIrG9pQihb0Vp3+iHS0K1J9OInKWwgAlUYEBAQEJApnBIal9wo9lFIGv0jtRik2YgoooXYypAoTu+h9sXSjbYZKsNhXlBKkwd7MR0pVaPFEX/WfJVh+kmb3XKzPa0Uq9WpfM9KP63U7KM6krSxRuLG+FD7zefzNDIy0pBEKctrHUSX5ZFls7Qa/qy550K2AKk+NPqYnDx6vTzeqlsqlaJ2HBwcnDZ2NK3RRxX6NF2tfRqhkizN1epj0rjCekfCOnCPB9b5JmoOo2lFvL1gGbjw50qlEoVhbZjbyqKcJSxWwNKwJIVuWQn76Gr5XKvT49HKMr1wafsIvg5sVSp+xw7Nd9kwmDokOuqFgmj6HhVOdPIUvLaXxb9zOF4cOT/yMCH/lzSgRl/hYNWOBlgTukWjaObkWjhEmsnINwjS8PLaM+19SUlKoQfzgO2LAgse1tboGZkX32SeVB58J80kJd/RqD5sQ+573K+Hh4ej/tva2hp9bmtri/Z+eeLUHApj+Y5FsJD15uuXVp+y6Er5vi8vWl03NcXvYmMwHYgCppYOjn++6w/rEGl/Ri6XizlNHh0dVecDbS7kvBDFhYy0FK1vgcJw2vc0i1IjgolEphcurFjk7xmWhKUBz7hwI6OzSk4PJzO8DVmazHIHR+0Jw+FkwZ1TO++FLoXwd9xn4WdoYm15XLAGOD7TOpTWIa3PEla4Y+30aRc0bTKUA1zuw2B82Hf4HRYQtOMKmjSeVG4tv/jdmrR99WEJBppHF2YIcF+X92Gcc7HLRfHam1qtppr0W+mnnQy18iSdEdPSwnA4FqyFVPYRLR1kY9CgRS5oWJ8yPRzj+F2etULnzexIt7OzM3ZbO9YNlgfLjHnhZ0mCgAS+IxdFOQennRPSPPch7HEFBAQEBGQKmda4kqhClKK0Q3kYD0pMeABZSiesJcmrB9CEGONAahDTl9eNSGtITftCSV8zR7ZoP60+5Hf5zNJK0lJWFj/uk64lhZlE+1lSsoTUyGU94TPt6EFTU1OMvtWuqbDixjBam8i9Thlf0pEJKSnLfEuaWKbDYbB9cQ+Fy4qXUs6aNYucczHfeKh9WVp8Gmjta9F+2nuyjpMO1vO7Pg0QKUDcx5LPUWtlYDhrbxOfyzyWy+WonmfNmhXbUpC0IZZRakZa3BJptC9knWQ4H+0t4zheZHrhQiRREPwZOWWcpFC1x5tiJVWAsLwFyMXGGrxykrLKpQ1cGae1IGhhNUhaVe6HJOVVTjByMrXesSAXVR+NaZVRm9AtqgTLyu8ixcv0GU8WWjgtP1Z5GtkL4HxaxgwyDYta0wyD2EBAe4f38yQKhQK1t7dHdVKr1WIusDQnvUl1gH1PlhHzg898/doSwqy4EZg3KXhaR1PkHWeyfvkdKQAiBY3AbQTGyMgIdXZ2xtpeKyfSmBMTE9Pa8HgXDk3QkkIG5kem12jf1xCowoCAgICATOGU0bg0CUqjv1jiQR9ieIrdORdzPDsxMaE6W0UpRqMNNYurJCkR6UE0p9UsgiSFJ+tC20zVJB+kyTCc5S3AklotmkDScVZ+ZLxSCrfoNKvcWv40WBQpxoXXpUvpVTPM0fIi82mVW+ZLi0/Wh1V+fO7TfBDYD5CWQmMg56YO0qIWimNJs17UymAxFjL/2CaWFZ3FPCBkO6NWglS7fIfHAlr4oYcReS2MzL91cBv7uKXFY5hyuRzznDE4OBjFhZphPp+PsQVan+W4tTrU8qn1F8vCGN+Tz46FbdBwyixcjCQKAD1fay6SJEdPdFRtZ6e7HJd2rbr8TYbTOo22n6XRDvhZm3CSVHOZrnO6Y1yfui87qzZpI7SFwZqorHxrXjWS3rfCJXHwlgstpL8kHaaVVZbFWnwtOixpwU9axLS4NbpXCj9WfWreNtBtFE+OONH79nR8/VUiqe0s4dT3DhFN25dm4FEXorjXFAT2FVzIZN6xfWS7YV7RShnnIw5Tq9VoYGAgui+wtbVV9d6P81TSWS/f+NPaxRq78oyoFdYn0DWCQBUGBAQEBGQKmda4pPTOwBVdbq6ipKtttFp+6HzxynM+GFZKgJZfPJTGZJq+zeUkqcZHT1qbuz7JS37WqDWZPx8dJcNjvJaUZlE6aX7zUSIyHKNQKEzrE+iZxDpLY2lJvvJYFK0M5+sTmI5FBcn2QarPah+kAEdHR6m9vZ2Ipg4nc5p8SJnjYi2NNVXUJDRY/YvzYBlvaDSbfCbjsgwvpLGKxjCg820uHwO3IdBpAcdNNN2/pDWWMI/OOapUKtG5rkKhEFl6VqvVGEOBtK6PPtZYAFlfaTQk1rZ8/VGmY/WBNMj0wsULhqwAa38JB3JLS0vU6ERxOtCaaKUXC1z4OF4OY3kV0OJFC0ci/76SFQfng8NrHdIXn2+SxO/W4WZrQUiir7Rw2qSvPfMtVnKh0NLndrMWXNzb5Ak5yTmulmei6W2s5Uf+LstgHZSW5dHyYVE0cnKRiwvWAf/Oh7B5jyuXy0WLGFoilkqlqK9Uq9XYnVNIz3OcsjzS0tE3DnyTLo55DI/7yHzPGn/HxYaPQkgvJDLPSUcXtPxqi5qsF1wEm5qaonosFosxy05sH1+f1/IhxxX2N58QibDmAKtPyvm0EQSqMCAgICAgU8i0xoXqadLGreZPDDcw0eef1FY07QclNM4LhtEO/CEdIc93yXDahnmSNKOF0zS5tJvhHJeU2NLQPGni91FZCElpYDzyfYuqsKhLKeFzPygUCjHNEu/fkmWw8iwt4NJoP9LSTv7X8q1pmRKWFq8d0MUxg/Uu2w2t1Zi+amtri2lWDB5vFkVq0Vz8riyzBXadpBlX4Gd0ai1du1n+QWU4q30nJiYiLS2fz6uai3Pxq1AQsl/jma7x8fGoftva2qJ6r9frkSsorZ01gxmLlfDVs/UsidXRxuJpTxUS6YMA6QimBvhZPp+PnqE5K3cohBa3pX4z7WBZGPnuxbFoP+x01r6YXASsMPKZxbFbHVn+btFxFr0nB2UaCkJCK2eaZzJNBtYp3qmEsKz9tMWGw1u0jFXvmBeN8sIy4GdrUZblturGygNCXvluWSKWSqWINpT0II45Ccuc3MqD9LsoLfy0vTBcrHBBkEKRLCu+b3mgwH6FJuiFQiG6FLJQKNDHH39MREePEFh73hotzBaCvEC1t7dHdV2r1aK6xu0OTbCyxrPvN23hw3rn8qfZ7z0RyPTCxVqPJWGhVsTSHm6OoosW7JCWFI1xW5KDTwOUDc3QJilNw0iamCxYErWlfWh8N0romlskrRyN5M3SCDhN7ZmmHWiLiIzP2uDHBRvLKTVynHCsRUSm7WtHq95lP0iaFGRbWW2d1I9w0rQ0eqwDHEu1Wo06OzuJaGr88YWI9Xrdu+/j61949hIXB1xQGKxxoTd/7GO8r8Xe2Tn/mJ6sG+vIh1zIpSGFLA+aqXNc2pEaeTu6NS4GBgaiRbFUKkWswOTkZMwdlzwjZkGWP0kIlM8sIU6mcSIWsbDHFRAQEBCQKWRa4yoUCiodo5m1ElHsHiWio1IO8uraZXwaUDqXKn9T09G9NDwAaEn6Gq1kSdT4floKz5KcLOlcSqlp0k3SVK2yYTyWtGbtjWj5b1RKRJNtjA8PqLM3FHxfK7dGQ2rlsWi7JGnYeu6TbmW6Mh1fPiSNhfWO/yXNxx4d5s2bF9Xt0NBQTPLH+CYn41cEIZA10Q76y3Ly2MM+xrSdc0cv0JTWk83NzVEecPwi7ZfP52N9AtPQ6FUGa51NTUctAnk/1Toqo1GF/DvnBy/37O7ujq6gkVsfuHfLVCqH08Yi988kBkVjAFBTRGhzy/FoX5leuJjLbmo6esYE3fMQxU3O8Q4sOVi4AqUXDX6O34mmL1wInMBwgMlF0VKztTjl75JTtt7VFjGLCrLet/KjUWCyXNp361ka2pDIvjzPl461p4Qb6bgp39zcHP0u7z+yDGssQQDLppUn7eKflopNEiB878t8Yr/iCY/HiLbPheeWjhw5QrNnzyaiKdNtPPskhQQUHnBcFovF2I0LWL/aYsv/pds2rayYf7n3jHOANuly/rTfZT44L7hQ8ThEU3ttL1sTHtBYpFwuR+nx8Z5SqRSlyQslCs/aXJF2QZF9XMIyoU+iEBtFoAoDAgICAjKFU0Lj8lE3KEVIjQevytZuDEWJXn6X2k7Sxi4jSVK3vmu/IyVihdMkHOt2ZCufMqxFQ6aR0mScWvyy3mU4y6uBTFMrj5YW3rGGFBFK3doB2aQyyDBJGpOsJ0tr89WnlR9fnrV0OV5NO9eoXK0fVKvVyEigWCya2g7RUW0O+zRrddwmra2tkQYxNjYW848o6USNdsNyS1N/ydKgEReOF61O5RyE+anX62bfQQpPqxMOI7UYTeusVCpRmi0tLZG1YUtLS6yuUOuTVB/OgUmsjaw3HpeWFqYxDsdKExJlfOHiM1eS+5b0INFUhaM5LvLd2ACaKS2aSON5HmsyTNMgPjrNooy0AWZNJlrcckJLoqasMLhwJFEA2uSr1Y+vbFZ5ZJnScua+/KAFG06G0lVPI3WoLVRau2l9wBrwlsCQtg58fVebmHBvhdtd1oksTy6Xi8ZLa2sr5fP52PjBuJH+wv0ZXDyxT+D+jGWaL+PGuvFdZy/pNBRktX1qmQ8Uhnz9GCHDWIuLBP+GnjM6Ojpo1qxZRDRlMj80NERDQ0NRvJrZPQv2Wtwyf5aQIxc4q2y+8qRFoAoDAgICAjKFTGtcuMJb52qQOuDNXqIpmhBP/vP78lp2tC4rFovR+7VaTbVQ4vdQmtQgpRBLNdfKzP99lJEVt4+i9OVHakM+pKEgZRqSEvEdtLbi8mmGWh6082h4BhDvW7LKYNEjSRvSSdKmlPqlluajPmU+ZLgkalrLpxxrlmEPHvKt1+uR8QC/g1qapjHh+So+j4SaL1OK+Xw+utJDGjbIOtHqSdYRU12yrFg37CuQy4n9COcaOX597aM9s4wzGJpxBfa3Wq0W1VNbWxsVi8XYtgjWkeZfkecz31jTILV1DK8ZVB2Pr8JML1zc+ZEOILKdVba0tMTur0GLHmxMVNNx0kIroGKxGHWOSqUybZKyaB3ffohm7puWgrQmMzmxWouAhC+Mz5pKvqPRlDhALUpBoxgxPhm//I6DAgeozK88NKpZvWmmvUkLj48iknSNFa8sv1UfltAjhQGr7/nq1Edpan1EWuGxcMeTKR4AZoyNjalHU2R6OE4xLmlWbuXNonW5PXxCFYfDPiHHrTVmNFpX2xez6EEMI+k8LDfPVXixJ7/HrqHQmhrflbdd+OhXLW88djRa1loEA1UYEBAQEHDaINMaV3t7OzU3N1OlUolt6KJTSgZb8CRpOppkiucwUGLiKwVQeuQDxxxOXt+AkJIHSnYofWn0irWZi+XFuDFNn0aE9aC9b72TRA+mSdN6Jy2laeU7SepG4xvWqHO5HFUqlSiMz5demvLgc3n4Vssz/45xa9SjlGylpplU75pGzLAMA/ggrna+CoHv12q1aTQRsx/j4+MxC0Hf4VtuH5mOdNtknYPS6lCje2VbSPi0Y8lw+KjiNFqJnKe0skm6FTVYvL6J5yyiOPVptTuna2mGUsOy5h1ZLnznWJDphYt9f+FEL+lBbii8t4YorjIj5H4VUZwuQZ913EjoARpP38v8ENkny5E+wgEu+Wyro/u4cyuMRS9q+0Vp4vb9ru0Z+JBmsfLF66PG0NIUw6FFqTSBl5aU1sKThlrDiQEnTblQyXh8ewvaZ5kHHz2p5UGj3zlMoVBQ20dSpHjUoF6vqzQztgn685P5wTxZC4fvgHha2l1SYJiGtvD5Fj1rD1TmO+1euHNxK2ptWwMFI17E8JC95tUHBWzuD0kCqlZuqy/7Fu9jQaYXruHh4WkDD8GTDKOpqSlqQHljqCWFYkOjeyB+j8PLy+a08yTSMwN2QDmpNCrxWZIdh+Uw8h1rv0oO9jT7Iz7tTVtwj0X6shZoOTgsDwFyUuE25jDI9Vs8v7WYyMVSDuJGpFH+LvcQZDhNM9X6gU/owXLI+kFTdExfOqa2JjRMU54hwrHE4eTNCuPj4zFBQ1uEUCOw9rq0+rDC+QQEX9/V+oVcoLX9UqLp4z9pQZP5lvtvjLGxscjxMNGUVw3WwNCQplAoRC6jyuUyDQ8PxxZp7Aea2ysuP9aPtod2PFoWIuxxBQQEBARkCpnWuDQJQ0qGaNLc2toafUfJTkrrqGFJjwFIBXL6KBWidCPzaUllPlrPJzFa1BRKSNK7hoxTo140GiaJ6rMsBJOkK+sdn4agaVnaO1oakobCOFC7HhsbM6Vdq96t8ibVgU9TtbRlGS5NOjJ8Uh6sOuS9Vv7NxxxgPfFFiERTkj9L+GNjY1G9j4yMqId85XekcmX+MW+yX1q+PX2afBptDClByaxo78v/PtbHCmP1dwRadhId1cCIprY4mCnq6OigOXPmENGUj8mJiYloWwX3wjhOCUtjl+FPlMaV6YWLHeri2Q9rz4BpCq5Ey6klf2fgCX2io3tlTU1N0zwJcPrYyNJbB+6ryYU3aXFA+KhBi9LAOuLvaSgwGbf23QrPz6wBZpUZB6k1GfomBGtxaWlpidpQmsgjz493cGnxWhN82t989aW9k3bCSqIEtXjTUL4yjHQLhFSQFobHC5rD41jg99va2mJGG76xYNGTsgxpJkpfXTFkm0uhwlpwLcHCEgjlZzTKwHSsxQ4htyxwwe/s7Iw8bKDAXSwWqVQqRfMbbmtIKtfXv/BMJMOi4htFoAoDAgICAjKFzGtcrOHg7Z8+yQW9YOCGMEt/qFZrdwSh5ILaHIMpEdRqWMKv1+vRZ7To4bhQA0tDEXF6HE6Dj17A92WcWG/WYVopZVpSrm9T25dP6500ErRPK+I+wL7zUCvQDDq0eDSNx9L2+Zlm+arlOymMzBNCaqo+GlqWyZeuJt1rLAfGjybzHF47/Irf0Wijubl5micbywTcp3lIpoF/SzKW4WdaXcu21tLjzz4a1nqGfU/Gb1lWIlBDQqZpfHw8+jw8PBzVQbFYjLFR/C7RdLN5Lc/cv7X+i0Zt6LEIHRA3ikwvXHw2JJfLRZYyExMTMQoCBzE68ESVFc3ZpSsX7BySL7Y6LtKLqFrj5IUWVdwxcKG0BiWmbU30lgrO5cG9PW3SknsEvnST9kZkGayF0yqjDJdm0pf5lAusFDTwbBDWAQomGs2jlUcDUy3agmK1ga98jdSBlo620GjhrAVAhrPM5tG7BY8JOdnx+0jRaunJ8iQJdEneXTT6OU1/wzJLalAzlce0tDHrK6v2viybLINMh4V1tHbmeGq1WuR8t729fdq8gOXBuNGqUAomOC74GVoyFovFKJ1yuRztozWKQBUGBAQEBGQKmda4mOYZHx+PHbBjayUpCaK2gcYZLS0t1NbWRkRTfr5QZUbVGqUqqZVo0g5D07LQiIPf4fzIg5pIT0oNBe/Q0c4dYbxscphn2QAAFvdJREFUKKJJyhgnQmorEhqFoFFU8tS/ls+0FCC+66NYNG1QbnbjDbtIZUnDASmNann10WyWgUlSOdNoY5Y2aMWDGo70mZemDXxlR08NpVIposbL5XLMIQACryJCtkL7b/UjiTQGBDL/Fj2vsQ9a+mmMnrBPyvGchnq0NHScmzTPFwicT1Dj4T5fKBRocnIymq+cc+p1NGi0wRa52lyJVGOxWKSurq4oPdb4GkWmFy6kX7gBcHFAbjWXy1GhUIgGVaVSiU36vPDhnVt4yJIobj1ocd9E01364PuoZiOXj/Hl83n1DiAc1EgF4Hctb/y+pCB9tJ+1oEjaIA1ViM/kcYW09Je1CFkTRJrJis2BuU1qtZp6j5LvUKtsUwS66kpLRcl0NIHIV78WZLtJKi2NACEFNd9CTTTdeTXSRNZCmkQBMiz3bRxH2sWK37Xq1NfHfX1eW8S0PmDF3Wia1mfZZ/B9Scui8CDnUdyn16hkXMwkcHsFL7w8VpqQKFCFAQEBAQEZQ6Y1Ll7xkfZDaz0pleXz+YhGrFQqkWaF99fwcwaqw9ZBOk26sw5lohEISxwtLS3TtAW8skFLUzPAsLRByxhDSuE+iV6TsiyJVyIN1SGt7jBvSfEl5QFvM0YqmbVvtEjFPKA7HMb4+HjstllL8/BJ2gi5qS/bIA1ViHFZ6frax2pffM/SArR8syRfLpejM1noXoiIphk5adaG3A8sB8dW3hrRtjCdNJqeTJvflwY3lqGGpQH5tESLZUhqU1+6mG+iqXqX4wCdKiCwr6Bzcy0MUXwOrVarsauljhWZXri4kyL3jVaB2Om5IbgxCoVC7CI6blhcRCQPLf0LIrCh5GKDCx86uGQwfYZ5YOChWO1EvqWua5SMj16RHHka6iatSTCH5bJimih8+OgGbYHyUYU4KIko1u58N1GhUIjRWU1NTbHBipfvodf4crkceY73TapyAdEmGmvAy3d8nhWsuCS0PRDZx638WQIHf8Zw0l8n0VEKnutXCnPaUQEpMPomY1/+Lce+voXYR+9JyLbCNC26VytDmgVJxqEJsD6rUS1tjlfuSWEZ0B4AFyvMPx5ulnnEeufP+Xw+dgNDI2iIKty0aRNdcskl1NHRQT09PXTVVVfR3r17Y2Euv/zyKHP8d+utt8bCHDx4kNavX09tbW3U09NDd999t/faiCTwhMObg7ig8R9LFCMjIzQyMkKlUolaW1uptbWV2tvbqVAoUKFQiFz9aLy7PG+VBvgOSyjslQHj5asd6vV65FUATYi5I/G+DJuYcr7lVRP4Dv9hWbgMHF+hUFDDaR2OgfUgy4ltw899e0XWeTDZlrLdtc8SvAhxvfFn9ryCeWhvb6f29nZqbW2N8sx9h93lzJ07lzo6OqijoyMSLDSJX9aZVT9c7z7NDeuC8yq9tGCcWh74HWwrrV21etfyIMc5h9famuuQn8l+yX1Xa2urfhodi5qBjOxDvgVaC2vVv5VPOS6T6hbf19pEy4+sE5wTZb4YOB85N+VEuVqtUrVajc5b8R/HxccdeHzlcrmoHblvyjkI57BG2k6iIY1r27Zt1NfXR5dccgmNj4/TvffeS2vWrKE9e/ZQe3t7FO7mm2+mhx9+OPrOFntcQevXr6fe3l5644036NChQ/Ttb3+b8vk8/fjHPz7mggQEBAQEnB5oaOF66aWXYt+feOIJ6unpoZ07d9LKlSuj39va2qi3t1eN4w9/+APt2bOHXn75ZZo3bx59/vOfpx/96Ed0zz330IMPPqiay6aBRoNICQvNP1H9RUoR7wNip6CaZC+pKJ+ab1EIknZE7QRNtFEKQ41K0ovoABgvv5TWbTI9/qzRUpK/1/KL5ff9zs8smsunNWmw6CqiuMNc51zs5D5e61Cr1WLHBfidSqUSxYfmvJVKhUqlUiSoVatVlZbVyoZ1qiEpjEZfWVqdzAO+L6lgmQeZb/m+zIOWlnyHWQbfJa8yHtQOGZrXCK1PaVpT2jxbcfviTRN3Ut1ade3TTHBu8B2Atsav9jvPE2hlKP17Mqz5iIhMX4dW32sEx2VVODg4SEREs2fPjv3+5JNP0ty5c2np0qW0ceNGGhkZiZ5t376dli1bRvPmzYt+W7t2LQ0NDdF7772npsMnvPGPKE694IC1KAQeOOPj4xH1wxet8R9uGqPJOpG+EEpaRMuT5PDl71oZMD/8GX+XNCKq8Ez9MYWoUTqScsBzGlK1J9KpER9VkYaK0n7T4pDxWJSIpGC4rnjx5YHFfYCFFI6vVCrF0kFPK5wPpnT5O7v3Qi8r3LayH2p91FdHFmSc2I9kPWrQqCP+jn3aoq/4O/YRLIvV961n1gRmeYCRebbqk/uD9cx63+pvWGbsazI/sl5lOExPy6eELx0rz77yaPng+mYaF/sBC/z8h/Mm5mlycjKiAZESlJ+ZXsS9/EZxzMYZk5OTdPvtt9Nll11GS5cujX6//vrraeHChbRgwQLatWsX3XPPPbR371569tlniYiov78/tmgRUfS9v79fTWvTpk300EMPHWtWAwICAgJOIRzzwtXX10e7d++m119/Pfb7LbfcEn1etmwZzZ8/n1atWkX79++nxYsXH1NaGzdupDvvvDP6PjQ0RGeffXYsDB4CRSsi/IyrvDTNxStKJPDwnaaOawdPLbU9DVWB4dBrA2sOnBd0Goxxofk3XlfARiBorSWt/GR5WPKWEh/nR6NmLK3MBzSX1izMMG6NJvPRD01NR6+gwTvZZLnq9XpEI+IzNBziz2hxiPWLaVqQebToJxnGop+0NpDv4GeLIiKaTithfqw+LcNpYwMZAf6dP6OvUKxDppisOpH1gPnQ+qPVX6261d7X8pL0ruZNQmMvkvIp0/Llm9+TY0pub1jpWPMoOgqXVqMIeUUQtrVmNdwojmnh2rBhA73wwgv02muv0VlnneUNu3z5ciIi2rdvHy1evJh6e3vpT3/6UyzMRx99RERk7osVi8VoQkGguiy9IfNn2YDYUHhWSutQPHB4ksIB75uQrYlJU+Vlnvg//4adQ7p1Ghsbi1llMdAFVktLS6zuUMXHhQtNWbWO5ZsQ+LO2T8HAvT3tfdyTkvSRb2JA7ydyQsa9PV5wRkZGImMh51xs0iyVSjHP8da5OFwIJcWqtSFSaLJMvn7kow+t99IICr6+55sINRNv67uMi70xcL3JCYw/y/N82iJq5Y/TTDu5M3zPLSEU68O3oMsFwBIekgQyjN/KD36Xzm+tcFpbaRQthkNH5dLTjLY3jxdWSsvlY0VDS59zjjZs2EDPPfccbdmyhRYtWpT4zjvvvENERPPnzyciohUrVtC7775Lhw8fjsJs3ryZOjs7acmSJY1kJyAgICDgNERDGldfXx899dRT9Pzzz1NHR0e0J9XV1UWtra20f/9+euqpp+irX/0qzZkzh3bt2kV33HEHrVy5ki688EIiIlqzZg0tWbKEvvWtb9Gjjz5K/f39dN9991FfX5+qVaWBlHSkdsW/4TmnycnJ2L0wDLmZjFSb5bhTOxyq0W743UfxNEIzWXlC7UdKO6xpSjoMVXt+H50McxxSI5VllmXxHXDFuLCMFsVqUVFafCjdcrvLA+rFYjG6BRbR1dUVu7ocy8lnXDgd1Pq0PGvWcZhfzI9PW9fqR9MGrfgsmsqnyWkMgVaGpH6NTIhMEyVy7CtsEWtRl5YGK2nRJO2W869ZCVsaHzIMmpGBlk9fPUtLXlkumV8ZD9YTloXrIqkdtTGK9CLHp93bxWHRzyvOLahpayzYsaDJNaCvWZPP448/TjfddBN9+OGH9M1vfpN2795NlUqFzj77bLr66qvpvvvuo87Ozij8Bx98QLfddhtt3bqV2tvb6cYbb6RHHnlkmmsRC0NDQ9TV1UXFYtFLp+Dkhfs+RBSjF+UdXpJ+Q7NQa/JhcAdIw7HLw75afFZa3DmTOrvcm8LFu7m5OeKrJa3DZebD0NJyUkNaKkcrjyybFZ9VNqL4oGhpaYlRvFxOthwkOjphdnR0ENFUP2BvKvgODkjnHA0ODkaLGlta8TOc8HyX5CVN9HLixD6lTbAYxupv2uTFE56PIsT48fckwQv7uBRQWlpaIg8mfOyEKG7JqXng0PaLMH6ugyTqE/Mt6yBt2dIID3IRxbQt4Ux+TiO0WHmW9YTPk6z6cD7msVAsFmOX7sr+ifMt5gHHInoP+uijj2hwcDC2PqRBQxpX0hp39tln07Zt2xLjWbhwIb344ouNJB0QEBAQEEBEGfVVyAsob8ijpE3kP4TMQO1Jc+/EYaT2pC3eGr2Dkoh1HkVu/qNqnqSxYfllOPxdUhDWPVNER6UkPATe3NxMo6Ojal1Zvg99moNVB3iViyblahIsSvRYJg14GBJ/K5VK0TN0Css0MRHF7uziKx64jvAza6dEcbpVqwtN+5Htq0nyXGeN1rXVh+U7abRmhtZfff1YpoMWsahJoTGD7GNp6lCmlzSWuE9bRgOSCUiqD4uGxXGpzQtaeTRaUFr9yvjkO5ZGLfuRphkSxf238q3z/I5VBtx+wTGJ7e5jVpKQyYWrXC4TEcVU1lMJPorpRKJer58QT80nAsdzN0/AzMLqr0kHiNExwf8CkvJ7uuFkzavlcjm6XDItGtrj+l/B5OQk7d27l5YsWUIffvhhw/zo6QA+6xbqR0eoHz9C/SQj1JEfSfXjnKNyuUwLFixo2FAjkxpXc3MznXnmmURE1NnZGTqNB6F+/Aj140eon2SEOvLDVz+NalqMcANyQEBAQECmEBaugICAgIBMIbMLV7FYpAceeOCYDy2f6gj140eoHz9C/SQj1JEfn2T9ZNI4IyAgICDg9EVmNa6AgICAgNMTYeEKCAgICMgUwsIVEBAQEJAphIUrICAgICBTyOTC9dhjj9GnP/1pKpVKtHz58mkXU54uePDBByPv4vx3wQUXRM9HR0epr6+P5syZQ7NmzaKvf/3r0aWdpypee+01+trXvkYLFiygpqYm+u1vfxt77pyj+++/n+bPn0+tra20evVqev/992NhPv74Y7rhhhuos7OTuru76bvf/S4NDw+fxFJ8ckiqn5tuumlan1q3bl0szKlaP5s2baJLLrmEOjo6qKenh6666irau3dvLEyaMXXw4EFav349tbW1UU9PD919990xH6FZRpo6uvzyy6f1oVtvvTUW5njrKHML169//Wu688476YEHHqC//OUvdNFFF9HatWtjF1OeTvjc5z5Hhw4div5ef/316Nkdd9xBv/vd7+iZZ56hbdu20b/+9S+65pprZjC3nzwqlQpddNFF9Nhjj6nPH330UfrZz35Gv/zlL2nHjh3U3t5Oa9eujflsvOGGG+i9996jzZs3Rzd933LLLSerCJ8okuqHiGjdunWxPvX000/Hnp+q9bNt2zbq6+ujN998kzZv3kz1ep3WrFlDlUolCpM0piYmJmj9+vU0NjZGb7zxBv3f//0fPfHEE3T//ffPRJFOONLUERHRzTffHOtDjz76aPTshNSRyxguvfRS19fXF32fmJhwCxYscJs2bZrBXM0MHnjgAXfRRRepzwYGBlw+n3fPPPNM9Ntf//pXR0Ru+/btJymHMwsics8991z0fXJy0vX29rqf/OQn0W8DAwOuWCy6p59+2jnn3J49exwRuT//+c9RmN///veuqanJ/fOf/zxpeT8ZkPXjnHM33niju/LKK813Tqf6OXz4sCMit23bNudcujH14osvuubmZtff3x+F+cUvfuE6OztdrVY7uQU4CZB15JxzX/nKV9z3v/99850TUUeZ0rjGxsZo586dtHr16ui35uZmWr16NW3fvn0GczZzeP/992nBggV07rnn0g033EAHDx4kIqKdO3dSvV6P1dUFF1xA55xzzmlbVwcOHKD+/v5YnXR1ddHy5cujOtm+fTt1d3fTl770pSjM6tWrqbm5mXbs2HHS8zwT2Lp1K/X09ND5559Pt912Gx05ciR6djrVz+DgIBERzZ49m4jSjant27fTsmXLaN68eVGYtWvX0tDQEL333nsnMfcnB7KOGE8++STNnTuXli5dShs3bozdBHAi6ihTTnb/85//0MTERKzARETz5s2jv/3tbzOUq5nD8uXL6YknnqDzzz+fDh06RA899BB9+ctfpt27d1N/fz8VCgXq7u6OvTNv3jzq7++fmQzPMLjcWv/hZ/39/dTT0xN7nsvlaPbs2adFva1bt46uueYaWrRoEe3fv5/uvfdeuuKKK2j79u3U0tJy2tTP5OQk3X777XTZZZfR0qVLiYhSjan+/n61f/GzUwlaHRERXX/99bRw4UJasGAB7dq1i+655x7au3cvPfvss0R0YuooUwtXQBxXXHFF9PnCCy+k5cuX08KFC+k3v/lNdC16QEAj+MY3vhF9XrZsGV144YW0ePFi2rp1K61atWoGc3Zy0dfXR7t3747tGQfEYdUR7ncuW7aM5s+fT6tWraL9+/fT4sWLT0jamaIK586dSy0tLdOseD766CPq7e2doVz976C7u5s++9nP0r59+6i3t5fGxsZoYGAgFuZ0risut6//9Pb2TjP0GR8fp48//vi0rLdzzz2X5s6dS/v27SOi06N+NmzYQC+88AK9+uqrdNZZZ0W/pxlTvb29av/iZ6cKrDrSsHz5ciKiWB863jrK1MJVKBTo4osvpldeeSX6bXJykl555RVasWLFDObsfwPDw8O0f/9+mj9/Pl188cWUz+djdbV37146ePDgaVtXixYtot7e3lidDA0N0Y4dO6I6WbFiBQ0MDNDOnTujMFu2bKHJycloAJ5O+Mc//kFHjhyh+fPnE9GpXT/OOdqwYQM999xztGXLFlq0aFHseZoxtWLFCnr33Xdji/vmzZups7OTlixZcnIK8gkiqY40vPPOO0REsT503HV0jMYkM4Zf/epXrlgsuieeeMLt2bPH3XLLLa67uztmoXK64K677nJbt251Bw4ccH/84x/d6tWr3dy5c93hw4edc87deuut7pxzznFbtmxxb731lluxYoVbsWLFDOf6k0W5XHZvv/22e/vttx0RuZ/+9Kfu7bffdh988IFzzrlHHnnEdXd3u+eff97t2rXLXXnllW7RokWuWq1Gcaxbt8594QtfcDt27HCvv/66O++889x11103U0U6ofDVT7lcdj/4wQ/c9u3b3YEDB9zLL7/svvjFL7rzzjvPjY6ORnGcqvVz2223ua6uLrd161Z36NCh6G9kZCQKkzSmxsfH3dKlS92aNWvcO++841566SV3xhlnuI0bN85EkU44kupo37597uGHH3ZvvfWWO3DggHv++efdueee61auXBnFcSLqKHMLl3PO/fznP3fnnHOOKxQK7tJLL3VvvvnmTGdpRnDttde6+fPnu0Kh4M4880x37bXXun379kXPq9Wq+973vuc+9alPuba2Nnf11Ve7Q4cOzWCOP3m8+uqrjoim/d14443OuSmT+B/+8Idu3rx5rlgsulWrVrm9e/fG4jhy5Ii77rrr3KxZs1xnZ6f7zne+48rl8gyU5sTDVz8jIyNuzZo17owzznD5fN4tXLjQ3XzzzdOEwlO1frR6ISL3+OOPR2HSjKm///3v7oorrnCtra1u7ty57q677nL1ev0kl+aTQVIdHTx40K1cudLNnj3bFYtF95nPfMbdfffdbnBwMBbP8dZRuNYkICAgICBTyNQeV0BAQEBAQFi4AgICAgIyhbBwBQQEBARkCmHhCggICAjIFMLCFRAQEBCQKYSFKyAgICAgUwgLV0BAQEBAphAWroCAgICATCEsXAEBAQEBmUJYuAICAgICMoWwcAUEBAQEZAph4QoICAgIyBT+H8lnWcyUdhrVAAAAAElFTkSuQmCC", + "image/png": 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "(256, 256)\n" + "(60, 256, 256)\n" ] } ], "source": [ - "from skimage.data import cells3d\n", - "\n", - "image = cells3d()[30,0,...]\n", + "image = cells3d()[:,0,...]\n", "cle.imshow(image)\n", "print(image.shape)" ] @@ -57,52 +60,119 @@ "cell_type": "code", "execution_count": 3, "metadata": {}, + "outputs": [], + "source": [ + "def level_set_gpu():\n", + " result_gpu = cle.morphological_snakes(image, n_iter=50, smoothing=0)\n", + " \n", + "def level_set_cpu():\n", + " result_cpu = morphological_chan_vese(image, iterations=50, smoothing=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "GPU time = 51.594847822\n" + ] + } + ], + "source": [ + "time_in_s = timeit.timeit(level_set_gpu, number=10)\n", + "print(\"GPU time = \", time_in_s)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU time = 87.60801198099999\n" + ] + } + ], + "source": [ + "time_in_s = timeit.timeit(level_set_cpu, number=10)\n", + "print(\"CPU time = \", time_in_s)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "image2d = cells3d()[30,0,...]" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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\n", 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" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], "source": [ - "result_gpu = cle.morphological_snakes(image, n_iter=50, smoothing=1)\n", + "result_gpu = cle.morphological_snakes(image2d, n_iter=50, smoothing=0)\n", "cle.imshow(result_gpu)" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 11, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], "source": [ - "from skimage.segmentation import morphological_chan_vese\n", - "\n", - "result_cpu = morphological_chan_vese(image, num_iter=50, smoothing=1)\n", + "result_cpu = morphological_chan_vese(image2d, iterations=50, smoothing=0)\n", "cle.imshow(result_cpu)" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "pyclesperanto", "language": "python", - "name": "python3" + "name": "pyclesperanto" }, "language_info": { "codemirror_mode": { @@ -114,7 +184,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.6" + "version": "3.9.7" }, "vscode": { "interpreter": { diff --git a/tests/test_morphological_snakes.py b/tests/test_morphological_snakes.py new file mode 100644 index 00000000..1a72da5b --- /dev/null +++ b/tests/test_morphological_snakes.py @@ -0,0 +1,27 @@ +import pyclesperanto_prototype as cle +from skimage import morphology +from skimage import segmentation +import numpy as np + +def test_morphological_snakes(): + + image = generate_disk((50, 50), 5) + + reference = cle.push(segmentation.morphological_chan_vese(image, num_iter=1, smoothing=1, lambda1=1, lambda2=1)) + + result = cle.morphological_snakes(image, n_iter=1, smoothing=1, lambda1=1, lambda2=1) + + a = cle.pull(result) + b = cle.pull(reference) + + print(a) + print(b) + + assert (np.array_equal(a, b)) + + +def generate_disk(shape, radius): + image = np.zeros(shape) + image[image.shape[0] // 2 - radius:image.shape[0] // 2 + radius + 1, + image.shape[1] // 2 - radius:image.shape[1] // 2 + radius + 1] = morphology.disk(radius) + return image