How to use enumerate method in fMBT

Best Python code snippet using fMBT_python

stairs_test.py

Source:stairs_test.py Github

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1# -*- coding: utf-8 -*-2from random import choice, sample3import hypothesis.strategies as st4from hypothesis import given, example, note5from stairs_solution import *6from util import list1_equals_list2_except_order, list1_is_subset_of_list27def test_enumerate_conditional_permutations():8 assert enumerate_conditional_permutations(1, [1, 2, 3], lambda l: sum(l) == 1) == [[1]]9 assert list1_equals_list2_except_order(enumerate_conditional_permutations(2, [1, 2, 3], lambda l: sum(l) == 2), [[1, 1], [2]])10 assert list1_equals_list2_except_order(enumerate_conditional_permutations(3, [1, 2, 3], lambda l: sum(l) == 3), [[1, 1, 1], [2, 1], [1, 2], [3]])11 assert list1_equals_list2_except_order(enumerate_conditional_permutations(4, [1, 2, 3], lambda l: sum(l) == 4), [[1, 1, 1, 1], [2, 1, 1], [12 1, 2, 1], [3, 1], [1, 1, 2], [2, 2], [1, 3]])13 assert enumerate_conditional_permutations(5, [2, 4], lambda l: sum(l) == 5) == []14 assert enumerate_conditional_permutations(1, [2, 4], lambda l: sum(l) == 1) == []15 assert enumerate_conditional_permutations(1, [1, 2, 3], lambda l: sum(l) == 0) == []16def test_count_solutions_recursive():17 assert count_solutions_recursive(1, tuple([1, 2, 3])) == 118 assert count_solutions_recursive(2, tuple([1, 2, 3])) == 219 assert count_solutions_recursive(3, tuple([1, 2, 3])) == 420 assert count_solutions_recursive(4, tuple([1, 2, 3])) == 721 assert count_solutions_recursive(8, tuple([1, 2, 3])) == 8122 assert count_solutions_recursive(5, tuple([2, 4])) == 023 assert count_solutions_recursive(1, tuple([2, 4])) == 024 assert count_solutions_recursive(0, tuple([1, 2, 3])) == 125def test_count_solutions_dp_bottom_up():26 assert count_solutions_dp_bottom_up(1, [1, 2, 3]) == 127 assert count_solutions_dp_bottom_up(2, [1, 2, 3]) == 228 assert count_solutions_dp_bottom_up(3, [1, 2, 3]) == 429 assert count_solutions_dp_bottom_up(4, [1, 2, 3]) == 730 assert count_solutions_dp_bottom_up(8, [1, 2, 3]) == 8131 assert count_solutions_dp_bottom_up(5, [2, 4]) == 032 assert count_solutions_dp_bottom_up(1, [2, 4]) == 033 assert count_solutions_dp_bottom_up(0, [1, 2, 3]) == 134def test_count_solutions_dp_top_down():35 assert count_solutions_dp_top_down(1, [1, 2, 3]) == 136 assert count_solutions_dp_top_down(2, [1, 2, 3]) == 237 assert count_solutions_dp_top_down(3, [1, 2, 3]) == 438 assert count_solutions_dp_top_down(4, [1, 2, 3]) == 739 assert count_solutions_dp_top_down(8, [1, 2, 3]) == 8140 assert count_solutions_dp_top_down(5, [2, 4]) == 041 assert count_solutions_dp_top_down(1, [2, 4]) == 042 assert count_solutions_dp_top_down(0, [1, 2, 3]) == 143def test_enumerate_solutions_recursive():44 assert enumerate_solutions_recursive(1, [1, 2, 3]) == [[1]]45 assert enumerate_solutions_recursive(2, [1, 2, 3]) == [[1, 1], [2]]46 assert enumerate_solutions_recursive(3, [1, 2, 3]) == [[1, 1, 1], [2, 1], [1, 2], [3]]47 assert enumerate_solutions_recursive(4, [1, 2, 3]) == [[1, 1, 1, 1], [2, 1, 1], [48 1, 2, 1], [3, 1], [1, 1, 2], [2, 2], [1, 3]]49 assert enumerate_solutions_recursive(5, [2, 4]) == []50 assert enumerate_solutions_recursive(1, [2, 4]) == []51 assert enumerate_solutions_recursive(0, [1, 2, 3]) == [[]]52def test_enumerate_solutions():53 assert enumerate_solutions(1, [1, 2, 3]) == [[1]]54 assert enumerate_solutions(2, [1, 2, 3]) == [[1, 1], [2]]55 assert enumerate_solutions(3, [1, 2, 3]) == [[1, 1, 1], [2, 1], [1, 2], [3]]56 assert enumerate_solutions(4, [1, 2, 3]) == [[1, 1, 1, 1], [2, 1, 1], [57 1, 2, 1], [3, 1], [1, 1, 2], [2, 2], [1, 3]]58 assert enumerate_solutions(5, [2, 4]) == []59 assert enumerate_solutions(1, [2, 4]) == []60 assert enumerate_solutions(0, [1, 2, 3]) == [[]]61def test_stairs_8():62 stairs = 863 steps = tuple([1, 2, 3])64 assert count_solutions_recursive(stairs, steps) == 8165 assert count_solutions_dp_bottom_up(stairs, steps) == 8166 assert count_solutions_dp_top_down(stairs, steps) == 8167 assert enumerate_optimal_solutions(stairs, steps) == [[3, 3, 2], [3, 2, 3], [2, 3, 3]]68 assert enumerate_unique_optimal_solutions(stairs, steps) == [[2, 3, 3]]69 assert find_any_optimal_solution(stairs, steps) == [3, 3, 2]70 assert len(enumerate_conditional_permutations(stairs, steps, lambda l: sum(l) == stairs)) == 8171def test_enumerate_optimal_solutions():72 assert enumerate_optimal_solutions(1, [1, 3]) == [[1]]73 assert enumerate_optimal_solutions(2, [1, 3]) == [[1, 1]]74 assert enumerate_optimal_solutions(3, [1, 3]) == [[3]]75 assert enumerate_optimal_solutions(4, [1, 3]) == [[3, 1], [1, 3]]76 assert enumerate_optimal_solutions(8, [1, 4, 5]) == [[4, 4]]77 assert enumerate_optimal_solutions(8, [1, 2, 3]) == [[3, 3, 2], [3, 2, 3], [2, 3, 3]]78 assert enumerate_optimal_solutions(1, [2, 4]) == []79 assert enumerate_optimal_solutions(3, [2, 4]) == []80 assert enumerate_optimal_solutions(7, [2, 4]) == []81 assert enumerate_optimal_solutions(3, [2, 5]) == []82 assert enumerate_optimal_solutions(4, [2]) == [[2, 2]]83 assert enumerate_optimal_solutions(0, [1, 2, 3]) == [[]]84def test_find_any_optimal_solution():85 assert find_any_optimal_solution(1, [1, 3]) == [1]86 assert find_any_optimal_solution(2, [1, 3]) == [1, 1]87 assert find_any_optimal_solution(3, [1, 3]) == [3]88 assert find_any_optimal_solution(4, [1, 3]) == [3, 1]89 assert find_any_optimal_solution(8, [1, 4, 5]) == [4, 4]90 assert find_any_optimal_solution(8, [1, 2, 3]) == [3, 3, 2]91 assert find_any_optimal_solution(1, [2, 4]) == []92 assert find_any_optimal_solution(3, [2, 4]) == []93 assert find_any_optimal_solution(7, [2, 4]) == []94 assert find_any_optimal_solution(3, [2, 5]) == []95 assert find_any_optimal_solution(4, [2]) == [2, 2]96 assert find_any_optimal_solution(0, [1, 2, 3]) == []97def test_enumerate_unique_optimal_solutions():98 assert enumerate_unique_optimal_solutions(1, [1, 3]) == [[1]]99 assert enumerate_unique_optimal_solutions(2, [1, 3]) == [[1, 1]]100 assert enumerate_unique_optimal_solutions(3, [1, 3]) == [[3]]101 assert enumerate_unique_optimal_solutions(4, [1, 3]) == [[1, 3]]102 assert enumerate_unique_optimal_solutions(8, [1, 4, 5]) == [[4, 4]]103 assert enumerate_unique_optimal_solutions(8, [1, 2, 3]) == [[2, 3, 3]]104 assert enumerate_unique_optimal_solutions(12, [1, 3, 5]) == [[1, 1, 5, 5], [1, 3, 3, 5], [3, 3, 3, 3]]105 assert enumerate_unique_optimal_solutions(1, [2, 4]) == []106 assert enumerate_unique_optimal_solutions(3, [2, 4]) == []107 assert enumerate_unique_optimal_solutions(7, [2, 4]) == []108 assert enumerate_unique_optimal_solutions(3, [2, 5]) == []109 assert enumerate_unique_optimal_solutions(4, [2]) == [[2, 2]]110 assert enumerate_unique_optimal_solutions(0, [1, 2, 3]) == [[]]111def test_list_subset():112 assert list1_is_subset_of_list2([[1, 1, 1, 4]], [[1, 1, 1, 4], [2, 1, 4]])113# ==== PROPERTY-BASED TESTING ======114def stairs_strategy(max_stairs):115 """116 Generator of tuples of number of stairs 'n' and list of steps 'steps':117 - 'n' is a value such that 0 < n <= max_stairs118 - steps[i] is value such that 0 < steps[i] <= n for all 0 < i <= n119 """120 n = choice(range(1, max_stairs + 1))121 i = choice(range(1, n + 1))122 return n, tuple(sample(range(1, n + 1), i))123@given(st.builds(stairs_strategy, st.integers(5, 25)))124def test_solution_comparison(t):125 n = t[0]126 elems = t[1]127 assert count_solutions_recursive(n, elems) == len(enumerate_solutions_recursive(n, elems))128 assert enumerate_solutions(n, elems) == enumerate_solutions_recursive(n, elems)129 assert list1_is_subset_of_list2(enumerate_optimal_solutions(n, elems), enumerate_solutions(n, elems))130 assert list1_is_subset_of_list2(enumerate_unique_optimal_solutions(n, elems), enumerate_optimal_solutions(n, elems))131 assert count_solutions_recursive(n, elems) == count_solutions_dp_bottom_up(n, elems)132 assert count_solutions_recursive(n, elems) == count_solutions_dp_top_down(n, elems)133 assert find_any_optimal_solution(n, elems) in enumerate_solutions_recursive(n, elems)134@given(st.builds(stairs_strategy, st.integers(4, 7)))135def test_enumerate_conditional_permutations_vs_enumerate_solutions(t):136 n = t[0]137 elems = t[1]138 list1 = enumerate_solutions(n, elems)139 list2 = enumerate_conditional_permutations(n, elems, lambda l: sum(l) == n)140 note(f"result:{list1_equals_list2_except_order(list1, list2)}")...

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network.py

Source:network.py Github

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...11#12#13#14class NetDeviceEnumerator:15 def enumerate(self):16 if System.WS_LINUX == System.name():17 return self.enumerate_linux()18 elif System.WS_FREEBSD == System.name():19 return self.enumerate_freebsd()20 return self.debug_enumerate()21 def enumerate_freebsd(self):22 raise Exception("NetDeviceEnumerator::enumerate_freebsd - not implemented on system '%s'" % System.name())23 def debug_enumerate(self):24 d1 = ActualNetDevice()25 d1.name = "ens160"26 d1.mac = "11:0C:29:2A:77:E3"27 d1.state = "UP"28 d1.ip4.config_type = CONFIG_TYPE_STATIC29 d1.ip4.address = "192.168.1.14"30 d1.ip4.netmask = "255.255.255.0"31 d1.ip4.gateway = "192.168.1.1"32 d1.ip4.dns_srv1 = "192.168.1.4"33 d1.ip4.dns_srv2 = "192.168.1.5"34 d1.ip4.dns_search = "diladele.lan"35 d1.ip6.config_type = CONFIG_TYPE_NONE36 d2 = ActualNetDevice()37 d2.name = "ens260"...

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preprocess.py

Source:preprocess.py Github

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...6def pre_normalization(data, zaxis=[0, 1], xaxis=[8, 4]):7 N, C, T, V, M = data.shape8 s = np.transpose(data, [0, 4, 2, 3, 1]) # N, C, T, V, M to N, M, T, V, C9 print('pad the null frames with the previous frames')10 for i_s, skeleton in enumerate(tqdm(s)): # pad11 if skeleton.sum() == 0:12 print(i_s, ' has no skeleton')13 for i_p, person in enumerate(skeleton):14 if person.sum() == 0:15 continue16 if person[0].sum() == 0:17 index = (person.sum(-1).sum(-1) != 0)18 tmp = person[index].copy()19 person *= 020 person[:len(tmp)] = tmp21 for i_f, frame in enumerate(person):22 if frame.sum() == 0:23 if person[i_f:].sum() == 0:24 rest = len(person) - i_f25 num = int(np.ceil(rest / i_f))26 pad = np.concatenate([person[0:i_f] for _ in range(num)], 0)[:rest]27 s[i_s, i_p, i_f:] = pad28 break29 print('sub the center joint #1 (spine joint in ntu and neck joint in kinetics)')30 for i_s, skeleton in enumerate(tqdm(s)):31 if skeleton.sum() == 0:32 continue33 main_body_center = skeleton[0][:, 1:2, :].copy()34 for i_p, person in enumerate(skeleton):35 if person.sum() == 0:36 continue37 mask = (person.sum(-1) != 0).reshape(T, V, 1)38 s[i_s, i_p] = (s[i_s, i_p] - main_body_center) * mask39 print('parallel the bone between hip(jpt 0) and spine(jpt 1) of the first person to the z axis')40 for i_s, skeleton in enumerate(tqdm(s)):41 if skeleton.sum() == 0:42 continue43 joint_bottom = skeleton[0, 0, zaxis[0]]44 joint_top = skeleton[0, 0, zaxis[1]]45 axis = np.cross(joint_top - joint_bottom, [0, 0, 1])46 angle = angle_between(joint_top - joint_bottom, [0, 0, 1])47 matrix_z = rotation_matrix(axis, angle)48 for i_p, person in enumerate(skeleton):49 if person.sum() == 0:50 continue51 for i_f, frame in enumerate(person):52 if frame.sum() == 0:53 continue54 for i_j, joint in enumerate(frame):55 s[i_s, i_p, i_f, i_j] = np.dot(matrix_z, joint)56 print(57 'parallel the bone between right shoulder(jpt 8) and left shoulder(jpt 4) of the first person to the x axis')58 for i_s, skeleton in enumerate(tqdm(s)):59 if skeleton.sum() == 0:60 continue61 joint_rshoulder = skeleton[0, 0, xaxis[0]]62 joint_lshoulder = skeleton[0, 0, xaxis[1]]63 axis = np.cross(joint_rshoulder - joint_lshoulder, [1, 0, 0])64 angle = angle_between(joint_rshoulder - joint_lshoulder, [1, 0, 0])65 matrix_x = rotation_matrix(axis, angle)66 for i_p, person in enumerate(skeleton):67 if person.sum() == 0:68 continue69 for i_f, frame in enumerate(person):70 if frame.sum() == 0:71 continue72 for i_j, joint in enumerate(frame):73 s[i_s, i_p, i_f, i_j] = np.dot(matrix_x, joint)74 data = np.transpose(s, [0, 4, 2, 3, 1])75 return data76if __name__ == '__main__':77 data = np.load('../data/ntu/xview/val_data.npy')78 pre_normalization(data)...

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