How to use get_max method in autotest

Best Python code snippet using autotest_python

compare.py

Source:compare.py Github

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...27 else:28 all += 129 event_p = event_prediction[batch_index][i]30 event_r = event_real[batch_index][i]31 if get_max(event_p) == get_max(event_r):32 same_event += 133 type_p = type_prediction[batch_index][i]34 type_r = type_real[batch_index][i]35 if get_max(type_p) == get_max(type_r):36 same_type += 137 polarity_p = polarity_prediction[batch_index][i]38 polarity_r = polarity_real[batch_index][i]39 if get_max(polarity_p) == get_max(polarity_r):40 same_polarity += 141 degree_p = degree_prediction[batch_index][i]42 degree_r = degree_real[batch_index][i]43 if get_max(degree_p) == get_max(degree_r):44 same_degree += 145 modality_p = modality_prediction[batch_index][i]46 modality_r = modality_real[batch_index][i]47 if get_max(modality_p) == get_max(modality_r):48 same_modality += 149 i += 150 batch_index += 151 return same_event / all, same_type / all, same_polarity / all, same_degree / all, same_modality / all52def compare_five_p_and_r(event_prediction, event_real, type_prediction, type_real, polarity_prediction, polarity_real,53 degree_prediction, degree_real, modality_prediction, modality_real):54 # batch size55 batch_size = len(event_prediction)56 all = 057 same_event = 058 same_type = 059 same_polarity = 060 same_degree = 061 same_modality = 062 prediction_event = 063 prediction_event_type = 064 prediction_event_polarity = 065 prediction_event_degree = 066 prediction_event_modality = 067 real_event = 068 real_type = 069 real_polarity = 070 real_degree = 071 real_modality = 072 # wrong_event = 073 #74 tp_event = 075 fp_event = 076 fn_event = 077 tn_event = 078 #79 # tp_type = 080 # fp_type = 081 # fn_type = 082 # tn_type = 083 #84 # tp_polarity = 085 # fp_polarity = 086 # fn_polarity = 087 # tn_polarity = 088 #89 # tp_degree = 090 # fp_degree = 091 # fn_degree = 092 # tn_degree = 093 #94 # tp_modality = 095 # fp_modality = 096 # fn_modality = 097 # tn_modality = 098 batch_index = 099 while batch_index < batch_size:100 i = 0101 step_size = len(event_prediction[batch_index])102 while i < step_size:103 event_p = event_prediction[batch_index][i]104 event_r = event_real[batch_index][i]105 type_p = type_prediction[batch_index][i]106 type_r = type_real[batch_index][i]107 polarity_p = polarity_prediction[batch_index][i]108 polarity_r = polarity_real[batch_index][i]109 degree_p = degree_prediction[batch_index][i]110 degree_r = degree_real[batch_index][i]111 modality_p = modality_prediction[batch_index][i]112 modality_r = modality_real[batch_index][i]113 # is no word114 if string.atof(event_r[0]) == 1:115 break116 # is event117 pre_pos = get_max_expect_first(event_p)118 real_pos = get_max_expect_first(event_r)119 if pre_pos == 1:120 prediction_event += 1121 if real_pos == 1:122 real_event += 1123 if pre_pos == 1 & real_pos == 1:124 same_event += 1125 if get_max(type_p) == get_max(type_r):126 same_type += 1127 if get_max(polarity_p) == get_max(polarity_r):128 same_polarity += 1129 if get_max(degree_p) == get_max(degree_r):130 same_degree += 1131 if get_max(modality_p) == get_max(modality_r):132 same_modality += 1133 i += 1134 batch_index += 1135 print ('event', same_event, prediction_event, real_event)136 print ('type', same_type, prediction_event, real_event)137 print ('polarity', same_polarity, prediction_event, real_event)138 print ('degree', same_degree, prediction_event, real_event)139 print ('modality', same_modality, prediction_event, real_event)140 precision_event = same_event / prediction_event141 recall_event = same_event / real_event142 combine_event = '(' + str(precision_event) + ',' + str(recall_event) + ')'143 precision_type = same_type / prediction_event144 recall_type = same_type / real_event145 combine_type = '(' + str(precision_type) + ',' + str(recall_type) + ')'146 precision_polarity = same_polarity / prediction_event147 recall_polarity = same_polarity / real_event148 combine_polarity = '(' + str(precision_polarity) + ',' + str(recall_polarity) + ')'149 precision_degree = same_degree / prediction_event150 recall_degree = same_degree / real_event151 combine_degree = '(' + str(precision_degree) + ',' + str(recall_degree) + ')'152 precision_modality = same_modality / prediction_event153 recall_modality = same_modality / real_event154 combine_modality = '(' + str(precision_modality) + ',' + str(recall_modality) + ')'155 return combine_event, combine_type, combine_polarity, combine_degree, combine_modality # def compare_event(prediction, real):156# len = len(prediction)157#158# all = 0159# same = 0160#161# i = 0162# while i < len:163# index_need = get_max(real[i])164# index_prediction = get_max(prediction[i])165#166# if index_need != 0:167# all += 1168# if (index_need == index_prediction):169# same += 1170# i += 1171#172# return173def get_max(nums):174 max = -2000000175 pos = -1176 i = 0177 while i < len(nums):178 if (nums[i] > max):179 pos = i180 max = nums[i]181 i += 1182 return pos183def get_max_expect_first(nums):184 max = -2000000185 pos = -1186 i = 1187 while i < len(nums):188 if (nums[i] > max):189 pos = i190 max = nums[i]191 i += 1192 return pos193# nums = [-0.2, 0, 0.1, -0.4]...

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g_stack_max_effective.py

Source:g_stack_max_effective.py Github

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...12 self.stack = []13 self.max = Stack()14 def push(self, value):15 self.stack.append(value)16 max_value = self.get_max()17 max_value = float('-inf') if max_value is None else max_value18 if value >= max_value:19 self.max.push(value)20 def pop(self):21 try:22 saved = self.stack.pop()23 except IndexError:24 raise IndexError('error')25 if saved == self.get_max():26 self.max.pop()27 def get_max(self):28 try:29 return self.max.top()30 except IndexError:31 return None32def run_commands(stack, commands):33 result = []34 for command in commands:35 if 'push' in command:36 stack.push(int(command.split()[1]))37 elif command == 'pop':38 try:39 stack.pop()40 except IndexError as error:41 result.append(error)42 else:43 result.append(stack.get_max())44 return '\n'.join(str(line) for line in result)45def test_run_commands():46 stack = StackMaxEffective()47 result = run_commands(stack, commands=[48 'get_max', 'push 7', 'pop', 'push -2', 'push -1', 'pop', 'get_max',49 'get_max',50 ])51 assert result == 'None\n-2\n-2', f'Wrong answer: {result}'52 stack = StackMaxEffective()53 result = run_commands(stack, commands=[54 'get_max', 'pop', 'pop', 'push 10', 'get_max', 'push -9', 'push 333',55 'get_max', 'pop', 'pop', 'pop', 'pop', 'get_max',56 ])57 assert result == 'None\nerror\nerror\n10\n333\nerror\nNone', (...

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heap.py

Source:heap.py Github

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...45 else:46 break47 self._heap[j] = x48 print(self._heap, self.length - 1)49 def get_max(self):50 print(self._heap)51 if self.length == 1:52 self.length -= 153 return self._heap.pop(0)54 if self.length > 1:55 rr = self._heap[0]56 self._heap[0] = self._heap[self.length - 1]57 self.length -= 158 self._heap.pop()59 self._siftup(0)60 return rr61 else:62 raise Exception("no nums")63 @staticmethod64 def left_child(i):65 return 2 * i + 166 @staticmethod67 def parent_pos(i):68 return (i - 1) // 269if __name__ == '__main__':70 heap = Heap([1, 3, 10, 22, 4, 665, 23, 5, 77, 46])71 # print(heap._heap)72 print(heap.get_max())73 # print(heap.get_max())74 # print(heap.get_max())75 # print(heap.get_max())76 # print(heap.get_max())77 # print(heap.get_max())78 # print(heap.get_max())79 # print(heap.get_max())80 # print(heap.get_max())81 # heap.push(2)82 # heap.push(3)83 # heap.push(4)84 # heap.push(5)85 # heap.push(6)86 # heap.push(4)87 # heap.push(3)88 # heap.push(2)89 # print(heap.get_max())90 # print(heap.get_max())91 # print(heap.get_max())92 # print(heap.get_max())93 import heapq94 haha = [1, 3, 10, 22, 4, 665, 23, 5, 77, 46]95 heapq.heapify(haha)96 print(heapq.heappop(haha))...

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