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How to use features method in lisa
Best Python code snippet using lisa_python
dense_features_test.py
Source:dense_features_test.py 
...42 @test_util.run_in_graph_and_eager_modes()43 def test_retrieving_input(self):44 features = {'a': [0.]}45 dense_features = df.DenseFeatures(fc.numeric_column('a'))46 inputs = self.evaluate(dense_features(features))47 self.assertAllClose([[0.]], inputs)48 def test_reuses_variables(self):49 with context.eager_mode():50 sparse_input = sparse_tensor.SparseTensor(51 indices=((0, 0), (1, 0), (2, 0)),52 values=(0, 1, 2),53 dense_shape=(3, 3))54 # Create feature columns (categorical and embedding).55 categorical_column = fc.categorical_column_with_identity(56 key='a', num_buckets=3)57 embedding_dimension = 258 def _embedding_column_initializer(shape, dtype, partition_info=None):59 del shape # unused60 del dtype # unused61 del partition_info # unused62 embedding_values = (63 (1, 0), # id 064 (0, 1), # id 165 (1, 1)) # id 266 return embedding_values67 embedding_column = fc.embedding_column(68 categorical_column,69 dimension=embedding_dimension,70 initializer=_embedding_column_initializer)71 dense_features = df.DenseFeatures([embedding_column])72 features = {'a': sparse_input}73 inputs = dense_features(features)74 variables = dense_features.variables75 # Sanity check: test that the inputs are correct.76 self.assertAllEqual([[1, 0], [0, 1], [1, 1]], inputs)77 # Check that only one variable was created.78 self.assertEqual(1, len(variables))79 # Check that invoking dense_features on the same features does not create80 # additional variables81 _ = dense_features(features)82 self.assertEqual(1, len(variables))83 self.assertIs(variables[0], dense_features.variables[0])84 def test_dense_feature_with_partitioner(self):85 with context.eager_mode():86 sparse_input = sparse_tensor.SparseTensor(87 indices=((0, 0), (1, 0), (2, 0), (3, 0)),88 values=(0, 1, 3, 2),89 dense_shape=(4, 4))90 # Create feature columns (categorical and embedding).91 categorical_column = fc.categorical_column_with_identity(92 key='a', num_buckets=4)93 embedding_dimension = 294 def _embedding_column_initializer(shape, dtype, partition_info=None):95 offset = partition_info._var_offset[0]96 del shape # unused97 del dtype # unused98 if offset == 0:99 embedding_values = (100 (1, 0), # id 0101 (0, 1)) # id 1102 else:103 embedding_values = (104 (1, 1), # id 2105 (2, 2)) # id 3106 return embedding_values107 embedding_column = fc.embedding_column(108 categorical_column,109 dimension=embedding_dimension,110 initializer=_embedding_column_initializer)111 dense_features = df.DenseFeatures(112 [embedding_column],113 partitioner=partitioned_variables.fixed_size_partitioner(2))114 features = {'a': sparse_input}115 inputs = dense_features(features)116 variables = dense_features.variables117 # Sanity check: test that the inputs are correct.118 self.assertAllEqual([[1, 0], [0, 1], [2, 2], [1, 1]], inputs)119 # Check that only one variable was created.120 self.assertEqual(2, len(variables))121 # Check that invoking dense_features on the same features does not create122 # additional variables123 _ = dense_features(features)124 self.assertEqual(2, len(variables))125 self.assertIs(variables[0], dense_features.variables[0])126 self.assertIs(variables[1], dense_features.variables[1])127 def test_feature_column_dense_features_gradient(self):128 with context.eager_mode():129 sparse_input = sparse_tensor.SparseTensor(130 indices=((0, 0), (1, 0), (2, 0)),131 values=(0, 1, 2),132 dense_shape=(3, 3))133 # Create feature columns (categorical and embedding).134 categorical_column = fc.categorical_column_with_identity(135 key='a', num_buckets=3)136 embedding_dimension = 2137 def _embedding_column_initializer(shape, dtype, partition_info=None):138 del shape # unused139 del dtype # unused140 del partition_info # unused141 embedding_values = (142 (1, 0), # id 0143 (0, 1), # id 1144 (1, 1)) # id 2145 return embedding_values146 embedding_column = fc.embedding_column(147 categorical_column,148 dimension=embedding_dimension,149 initializer=_embedding_column_initializer)150 dense_features = df.DenseFeatures([embedding_column])151 features = {'a': sparse_input}152 def scale_matrix():153 matrix = dense_features(features)154 return 2 * matrix155 # Sanity check: Verify that scale_matrix returns the correct output.156 self.assertAllEqual([[2, 0], [0, 2], [2, 2]], scale_matrix())157 # Check that the returned gradient is correct.158 grad_function = backprop.implicit_grad(scale_matrix)159 grads_and_vars = grad_function()160 indexed_slice = grads_and_vars[0][0]161 gradient = grads_and_vars[0][0].values162 self.assertAllEqual([0, 1, 2], indexed_slice.indices)163 self.assertAllEqual([[2, 2], [2, 2], [2, 2]], gradient)164 def test_raises_if_empty_feature_columns(self):165 with self.assertRaisesRegexp(ValueError,166 'feature_columns must not be empty'):167 df.DenseFeatures(feature_columns=[])(features={})168 def test_should_be_dense_column(self):169 with self.assertRaisesRegexp(ValueError, 'must be a .*DenseColumn'):170 df.DenseFeatures(feature_columns=[171 fc.categorical_column_with_hash_bucket('wire_cast', 4)172 ])(173 features={174 'a': [[0]]175 })176 def test_does_not_support_dict_columns(self):177 with self.assertRaisesRegexp(178 ValueError, 'Expected feature_columns to be iterable, found dict.'):179 df.DenseFeatures(feature_columns={'a': fc.numeric_column('a')})(180 features={181 'a': [[0]]182 })183 def test_bare_column(self):184 with ops.Graph().as_default():185 features = features = {'a': [0.]}186 net = df.DenseFeatures(fc.numeric_column('a'))(features)187 self.evaluate(variables_lib.global_variables_initializer())188 self.evaluate(lookup_ops.tables_initializer())189 self.assertAllClose([[0.]], self.evaluate(net))190 def test_column_generator(self):191 with ops.Graph().as_default():192 features = features = {'a': [0.], 'b': [1.]}193 columns = (fc.numeric_column(key) for key in features)194 net = df.DenseFeatures(columns)(features)195 self.evaluate(variables_lib.global_variables_initializer())196 self.evaluate(lookup_ops.tables_initializer())197 self.assertAllClose([[0., 1.]], self.evaluate(net))198 def test_raises_if_duplicate_name(self):199 with self.assertRaisesRegexp(200 ValueError, 'Duplicate feature column name found for columns'):201 df.DenseFeatures(202 feature_columns=[fc.numeric_column('a'),203 fc.numeric_column('a')])(204 features={205 'a': [[0]]206 })207 def test_one_column(self):208 price = fc.numeric_column('price')209 with ops.Graph().as_default():210 features = {'price': [[1.], [5.]]}211 net = df.DenseFeatures([price])(features)212 self.evaluate(variables_lib.global_variables_initializer())213 self.evaluate(lookup_ops.tables_initializer())214 self.assertAllClose([[1.], [5.]], self.evaluate(net))215 def test_multi_dimension(self):216 price = fc.numeric_column('price', shape=2)217 with ops.Graph().as_default():218 features = {'price': [[1., 2.], [5., 6.]]}219 net = df.DenseFeatures([price])(features)220 self.evaluate(variables_lib.global_variables_initializer())221 self.evaluate(lookup_ops.tables_initializer())222 self.assertAllClose([[1., 2.], [5., 6.]], self.evaluate(net))223 def test_compute_output_shape(self):224 price1 = fc.numeric_column('price1', shape=2)225 price2 = fc.numeric_column('price2', shape=4)226 with ops.Graph().as_default():227 features = {228 'price1': [[1., 2.], [5., 6.]],229 'price2': [[3., 4., 5., 6.], [7., 8., 9., 10.]]230 }231 dense_features = df.DenseFeatures([price1, price2])232 self.assertEqual((None, 6), dense_features.compute_output_shape((None,)))233 net = dense_features(features)234 self.evaluate(variables_lib.global_variables_initializer())235 self.evaluate(lookup_ops.tables_initializer())236 self.assertAllClose([[1., 2., 3., 4., 5., 6.], [5., 6., 7., 8., 9., 10.]],237 self.evaluate(net))238 def test_raises_if_shape_mismatch(self):239 price = fc.numeric_column('price', shape=2)240 with ops.Graph().as_default():241 features = {'price': [[1.], [5.]]}242 with self.assertRaisesRegexp(243 Exception,244 r'Cannot reshape a tensor with 2 elements to shape \[2,2\]'):245 df.DenseFeatures([price])(features)246 def test_reshaping(self):247 price = fc.numeric_column('price', shape=[1, 2])248 with ops.Graph().as_default():249 features = {'price': [[[1., 2.]], [[5., 6.]]]}250 net = df.DenseFeatures([price])(features)251 self.evaluate(variables_lib.global_variables_initializer())252 self.evaluate(lookup_ops.tables_initializer())253 self.assertAllClose([[1., 2.], [5., 6.]], self.evaluate(net))254 def test_multi_column(self):255 price1 = fc.numeric_column('price1', shape=2)256 price2 = fc.numeric_column('price2')257 with ops.Graph().as_default():258 features = {'price1': [[1., 2.], [5., 6.]], 'price2': [[3.], [4.]]}259 net = df.DenseFeatures([price1, price2])(features)260 self.evaluate(variables_lib.global_variables_initializer())261 self.evaluate(lookup_ops.tables_initializer())262 self.assertAllClose([[1., 2., 3.], [5., 6., 4.]], self.evaluate(net))263 def test_cols_to_output_tensors(self):264 price1 = fc.numeric_column('price1', shape=2)265 price2 = fc.numeric_column('price2')266 with ops.Graph().as_default():267 cols_dict = {}268 features = {'price1': [[1., 2.], [5., 6.]], 'price2': [[3.], [4.]]}269 dense_features = df.DenseFeatures([price1, price2])270 net = dense_features(features, cols_dict)271 self.evaluate(variables_lib.global_variables_initializer())272 self.evaluate(lookup_ops.tables_initializer())273 self.assertAllClose([[1., 2.], [5., 6.]],274 self.evaluate(cols_dict[price1]))275 self.assertAllClose([[3.], [4.]], self.evaluate(cols_dict[price2]))276 self.assertAllClose([[1., 2., 3.], [5., 6., 4.]], self.evaluate(net))277 def test_column_order(self):278 price_a = fc.numeric_column('price_a')279 price_b = fc.numeric_column('price_b')280 with ops.Graph().as_default():281 features = {282 'price_a': [[1.]],283 'price_b': [[3.]],284 }...
dense_features_v2_test.py
Source:dense_features_v2_test.py
...41 @test_util.run_in_graph_and_eager_modes()42 def test_retrieving_input(self):43 features = {'a': [0.]}44 dense_features = df.DenseFeatures(fc.numeric_column('a'))45 inputs = self.evaluate(dense_features(features))46 self.assertAllClose([[0.]], inputs)47 def test_reuses_variables(self):48 with context.eager_mode():49 sparse_input = sparse_tensor.SparseTensor(50 indices=((0, 0), (1, 0), (2, 0)),51 values=(0, 1, 2),52 dense_shape=(3, 3))53 # Create feature columns (categorical and embedding).54 categorical_column = fc.categorical_column_with_identity(55 key='a', num_buckets=3)56 embedding_dimension = 257 def _embedding_column_initializer(shape, dtype, partition_info=None):58 del shape # unused59 del dtype # unused60 del partition_info # unused61 embedding_values = (62 (1, 0), # id 063 (0, 1), # id 164 (1, 1)) # id 265 return embedding_values66 embedding_column = fc.embedding_column(67 categorical_column,68 dimension=embedding_dimension,69 initializer=_embedding_column_initializer)70 dense_features = df.DenseFeatures([embedding_column])71 features = {'a': sparse_input}72 inputs = dense_features(features)73 variables = dense_features.variables74 # Sanity check: test that the inputs are correct.75 self.assertAllEqual([[1, 0], [0, 1], [1, 1]], inputs)76 # Check that only one variable was created.77 self.assertEqual(1, len(variables))78 # Check that invoking dense_features on the same features does not create79 # additional variables80 _ = dense_features(features)81 self.assertEqual(1, len(variables))82 self.assertIs(variables[0], dense_features.variables[0])83 def test_feature_column_dense_features_gradient(self):84 with context.eager_mode():85 sparse_input = sparse_tensor.SparseTensor(86 indices=((0, 0), (1, 0), (2, 0)),87 values=(0, 1, 2),88 dense_shape=(3, 3))89 # Create feature columns (categorical and embedding).90 categorical_column = fc.categorical_column_with_identity(91 key='a', num_buckets=3)92 embedding_dimension = 293 def _embedding_column_initializer(shape, dtype, partition_info=None):94 del shape # unused95 del dtype # unused96 del partition_info # unused97 embedding_values = (98 (1, 0), # id 099 (0, 1), # id 1100 (1, 1)) # id 2101 return embedding_values102 embedding_column = fc.embedding_column(103 categorical_column,104 dimension=embedding_dimension,105 initializer=_embedding_column_initializer)106 dense_features = df.DenseFeatures([embedding_column])107 features = {'a': sparse_input}108 def scale_matrix():109 matrix = dense_features(features)110 return 2 * matrix111 # Sanity check: Verify that scale_matrix returns the correct output.112 self.assertAllEqual([[2, 0], [0, 2], [2, 2]], scale_matrix())113 # Check that the returned gradient is correct.114 grad_function = backprop.implicit_grad(scale_matrix)115 grads_and_vars = grad_function()116 indexed_slice = grads_and_vars[0][0]117 gradient = grads_and_vars[0][0].values118 self.assertAllEqual([0, 1, 2], indexed_slice.indices)119 self.assertAllEqual([[2, 2], [2, 2], [2, 2]], gradient)120 def test_dense_feature_with_training_arg(self):121 price1 = fc.numeric_column('price1', shape=2)122 price2 = fc.numeric_column('price2')123 # Monkey patch the second numeric column to simulate a column that has124 # different behavior by mode.125 def training_aware_get_dense_tensor(transformation_cache,126 state_manager,127 training=None):128 return transformation_cache.get(price2, state_manager, training=training)129 def training_aware_transform_feature(transformation_cache,130 state_manager,131 training=None):132 input_tensor = transformation_cache.get(133 price2.key, state_manager, training=training)134 if training:135 return input_tensor * 10.0136 else:137 return input_tensor * 20.0138 price2.get_dense_tensor = training_aware_get_dense_tensor139 price2.transform_feature = training_aware_transform_feature140 with ops.Graph().as_default():141 features = {'price1': [[1., 2.], [5., 6.]], 'price2': [[3.], [4.]]}142 train_mode = df.DenseFeatures([price1, price2])(features, training=True)143 predict_mode = df.DenseFeatures([price1, price2144 ])(features, training=False)145 self.evaluate(variables_lib.global_variables_initializer())146 self.evaluate(lookup_ops.tables_initializer())147 self.assertAllClose([[1., 2., 30.], [5., 6., 40.]],148 self.evaluate(train_mode))149 self.assertAllClose([[1., 2., 60.], [5., 6., 80.]],150 self.evaluate(predict_mode))151 def test_raises_if_empty_feature_columns(self):152 with self.assertRaisesRegexp(ValueError,153 'feature_columns must not be empty'):154 df.DenseFeatures(feature_columns=[])(features={})155 def test_should_be_dense_column(self):156 with self.assertRaisesRegexp(ValueError, 'must be a .*DenseColumn'):157 df.DenseFeatures(feature_columns=[158 fc.categorical_column_with_hash_bucket('wire_cast', 4)159 ])(160 features={161 'a': [[0]]162 })163 def test_does_not_support_dict_columns(self):164 with self.assertRaisesRegexp(165 ValueError, 'Expected feature_columns to be iterable, found dict.'):166 df.DenseFeatures(feature_columns={'a': fc.numeric_column('a')})(167 features={168 'a': [[0]]169 })170 def test_bare_column(self):171 with ops.Graph().as_default():172 features = features = {'a': [0.]}173 net = df.DenseFeatures(fc.numeric_column('a'))(features)174 self.evaluate(variables_lib.global_variables_initializer())175 self.evaluate(lookup_ops.tables_initializer())176 self.assertAllClose([[0.]], self.evaluate(net))177 def test_column_generator(self):178 with ops.Graph().as_default():179 features = features = {'a': [0.], 'b': [1.]}180 columns = (fc.numeric_column(key) for key in features)181 net = df.DenseFeatures(columns)(features)182 self.evaluate(variables_lib.global_variables_initializer())183 self.evaluate(lookup_ops.tables_initializer())184 self.assertAllClose([[0., 1.]], self.evaluate(net))185 def test_raises_if_duplicate_name(self):186 with self.assertRaisesRegexp(187 ValueError, 'Duplicate feature column name found for columns'):188 df.DenseFeatures(189 feature_columns=[fc.numeric_column('a'),190 fc.numeric_column('a')])(191 features={192 'a': [[0]]193 })194 def test_one_column(self):195 price = fc.numeric_column('price')196 with ops.Graph().as_default():197 features = {'price': [[1.], [5.]]}198 net = df.DenseFeatures([price])(features)199 self.evaluate(variables_lib.global_variables_initializer())200 self.evaluate(lookup_ops.tables_initializer())201 self.assertAllClose([[1.], [5.]], self.evaluate(net))202 def test_multi_dimension(self):203 price = fc.numeric_column('price', shape=2)204 with ops.Graph().as_default():205 features = {'price': [[1., 2.], [5., 6.]]}206 net = df.DenseFeatures([price])(features)207 self.evaluate(variables_lib.global_variables_initializer())208 self.evaluate(lookup_ops.tables_initializer())209 self.assertAllClose([[1., 2.], [5., 6.]], self.evaluate(net))210 def test_compute_output_shape(self):211 price1 = fc.numeric_column('price1', shape=2)212 price2 = fc.numeric_column('price2', shape=4)213 with ops.Graph().as_default():214 features = {215 'price1': [[1., 2.], [5., 6.]],216 'price2': [[3., 4., 5., 6.], [7., 8., 9., 10.]]217 }218 dense_features = df.DenseFeatures([price1, price2])219 self.assertEqual((None, 6), dense_features.compute_output_shape((None,)))220 net = dense_features(features)221 self.evaluate(variables_lib.global_variables_initializer())222 self.evaluate(lookup_ops.tables_initializer())223 self.assertAllClose([[1., 2., 3., 4., 5., 6.], [5., 6., 7., 8., 9., 10.]],224 self.evaluate(net))225 def test_raises_if_shape_mismatch(self):226 price = fc.numeric_column('price', shape=2)227 with ops.Graph().as_default():228 features = {'price': [[1.], [5.]]}229 with self.assertRaisesRegexp(230 Exception,231 r'Cannot reshape a tensor with 2 elements to shape \[2,2\]'):232 df.DenseFeatures([price])(features)233 def test_reshaping(self):234 price = fc.numeric_column('price', shape=[1, 2])235 with ops.Graph().as_default():236 features = {'price': [[[1., 2.]], [[5., 6.]]]}237 net = df.DenseFeatures([price])(features)238 self.evaluate(variables_lib.global_variables_initializer())239 self.evaluate(lookup_ops.tables_initializer())240 self.assertAllClose([[1., 2.], [5., 6.]], self.evaluate(net))241 def test_multi_column(self):242 price1 = fc.numeric_column('price1', shape=2)243 price2 = fc.numeric_column('price2')244 with ops.Graph().as_default():245 features = {'price1': [[1., 2.], [5., 6.]], 'price2': [[3.], [4.]]}246 net = df.DenseFeatures([price1, price2])(features)247 self.evaluate(variables_lib.global_variables_initializer())248 self.evaluate(lookup_ops.tables_initializer())249 self.assertAllClose([[1., 2., 3.], [5., 6., 4.]], self.evaluate(net))250 def test_cols_to_output_tensors(self):251 price1 = fc.numeric_column('price1', shape=2)252 price2 = fc.numeric_column('price2')253 with ops.Graph().as_default():254 cols_dict = {}255 features = {'price1': [[1., 2.], [5., 6.]], 'price2': [[3.], [4.]]}256 dense_features = df.DenseFeatures([price1, price2])257 net = dense_features(features, cols_dict)258 self.evaluate(variables_lib.global_variables_initializer())259 self.evaluate(lookup_ops.tables_initializer())260 self.assertAllClose([[1., 2.], [5., 6.]],261 self.evaluate(cols_dict[price1]))262 self.assertAllClose([[3.], [4.]], self.evaluate(cols_dict[price2]))263 self.assertAllClose([[1., 2., 3.], [5., 6., 4.]], self.evaluate(net))264 def test_column_order(self):265 price_a = fc.numeric_column('price_a')266 price_b = fc.numeric_column('price_b')267 with ops.Graph().as_default():268 features = {269 'price_a': [[1.]],270 'price_b': [[3.]],271 }...
dungeon.js
Source:dungeon.js
1/**2 * @class Floor3 * @augments RPG.Cells.BaseCell4 */5RPG.Cells.Corridor = OZ.Singleton().extend(RPG.Cells.BaseCell);6RPG.Cells.Corridor.visual = { desc:"floor section", ch:".", image:"corridor", color:"#ccc" };78/**9 * @class Road10 * @augments RPG.Cells.BaseCell11 */12RPG.Cells.Road = OZ.Singleton().extend(RPG.Cells.BaseCell);13RPG.Cells.Road.visual = { desc:"road", ch:".", image:"road", color:"#963" };1415/**16 * @class Grass17 * @augments RPG.Cells.BaseCell18 */19RPG.Cells.Grass = OZ.Singleton().extend(RPG.Cells.BaseCell);20RPG.Cells.Grass.visual = { desc:"grass", ch:".", image:"grass", color:"#693" };2122/**23 * @class Water24 * @augments RPG.Cells.BaseCell25 */26RPG.Cells.Water = OZ.Singleton().extend(RPG.Cells.BaseCell);27RPG.Cells.Water.visual = { desc:"water", ch:"=", image:"water", color:"#009" };28RPG.Cells.Water.prototype.init = function() {29 this.parent();30 this._water = true;31}3233RPG.Cells.Water.prototype.entering = function(being) {34 var canSee = RPG.Game.pc.canSee(being.getCoords());35 if (canSee) {36 var verb = RPG.Misc.verb("wade", being);37 var s = RPG.Misc.format("Splash Splash! %A %s into the water.", being, verb);38 RPG.UI.buffer.message(s); 39 } else {40 RPG.UI.buffer.message("You hear some splashing.");41 }42}4344/**45 * @class Deep Water46 * @augments RPG.Cells.BaseCell47 */48RPG.Cells.DeepWater = OZ.Singleton().extend(RPG.Cells.Water);49RPG.Cells.DeepWater.visual = { desc:"deep water", ch:"~", image:"deepwater", color:"#009" };50RPG.Cells.DeepWater.prototype._blocks = RPG.BLOCKS_MOVEMENT;515253/**54 * @class Wall55 * @augments RPG.Cells.BaseCell56 */57RPG.Cells.Wall = OZ.Singleton().extend(RPG.Cells.BaseCell);58RPG.Cells.Wall.visual = { desc:"solid wall", ch:"#", image:"wall", color:"#666" };59RPG.Cells.Wall.prototype._blocks = RPG.BLOCKS_LIGHT;6061/**62 * @class Fake wall63 * @augments RPG.Cells.Wall64 */65RPG.Cells.Wall.Fake = OZ.Singleton().extend(RPG.Cells.Wall);66RPG.Cells.Wall.Fake.prototype.init = function() {67 this.parent();68 this._fake = true;69}7071/**72 * @class Tree73 * @augments RPG.Features.BaseFeature74 */75RPG.Features.Tree = OZ.Class().extend(RPG.Features.BaseFeature);76RPG.Features.Tree.visual = { desc:"tree", ch:"T", image:"tree", color:"#093" }77RPG.Features.Tree.prototype._blocks = RPG.BLOCKS_ITEMS;7879/**80 * @class Altar feature81 * @augments RPG.Features.BaseFeature82 */83RPG.Features.Altar = OZ.Class().extend(RPG.Features.BaseFeature);84RPG.Features.Altar.visual = { desc:"altar", image:"altar", ch:"\u00B1", color:"#fff"};8586/**87 * @class Bench feature88 * @augments RPG.Features.BaseFeature89 */90RPG.Features.Bench = OZ.Class().extend(RPG.Features.BaseFeature);91RPG.Features.Bench.visual = { desc:"bench", image:"bench", ch:"|", color:"#963"};92RPG.Features.Bench.prototype._blocks = RPG.BLOCKS_MOVEMENT;9394/**95 * @class Signpost feature96 * @augments RPG.Features.BaseFeature97 */98RPG.Features.Signpost = OZ.Class().extend(RPG.Features.BaseFeature);99RPG.Features.Signpost.visual = { image:"signpost", ch:"\u2142", color:"#666"};100RPG.Features.Signpost.prototype.init = function(label) {101 this.parent();102 this._label = label;103}104RPG.Features.Signpost.prototype.describe = function() {105 return "signpost labeled '" + this._label + "'";106}107108/**109 * @class Generic trap110 * @augments RPG.Features.BaseFeature111 */112RPG.Features.Trap = OZ.Class().extend(RPG.Features.BaseFeature);113RPG.Features.Trap.factory.frequency = 0;114RPG.Features.Trap.visual = { ch:"^" }115RPG.Features.Trap.prototype.init = function() {116 this.parent();117 this._damage = null;118}119120RPG.Features.Trap.prototype.entering = function(being) {121 this.parent(being);122 being.trapEncounter(this);123}124125RPG.Features.Trap.prototype.setOff = function(being) {126}127128RPG.Features.Trap.prototype.getDamage = function() {129 return this._damage;130}131132/**133 * @class Teleport trap134 * @augments RPG.Features.Trap135 */136RPG.Features.Trap.Teleport = OZ.Class().extend(RPG.Features.Trap);137RPG.Features.Trap.Teleport.visual = { desc:"teleport trap", image:"trap-teleport", color:"#3c3" }138139RPG.Features.Trap.Teleport.prototype.setOff = function(being) {140 var c = this._map.getFreeCoords();141 being.teleport(c);142}143144/**145 * @class Pit trap146 * @augments RPG.Features.Trap147 */148RPG.Features.Trap.Pit = OZ.Class().extend(RPG.Features.Trap);149RPG.Features.Trap.Pit.visual = { desc:"pit trap", image:"trap-pit", color:"#963" }150151RPG.Features.Trap.Pit.prototype.init = function() {152 this.parent();153 this._damage = new RPG.RandomValue(3, 1);154}155156RPG.Features.Trap.Pit.prototype.setOff = function(being) {157 var canSee = RPG.Game.pc.canSee(this._coords);158159 if (canSee) {160 var verb = RPG.Misc.verb("fall", being);161 var s = RPG.Misc.format("%A %s into a pit!", being, verb);162 RPG.UI.buffer.message(s);163 }164165 var dmg = RPG.Rules.getTrapDamage(being, this);166 being.adjustStat(RPG.STAT_HP, -dmg);167 168 if (!being.isAlive() && canSee && being != RPG.Game.pc) {169 var s = RPG.Misc.format("%The suddenly collapses!", being);170 RPG.UI.buffer.message(s);171 }172173}174175/**176 * @class Flash trap177 * @augments RPG.Features.Trap178 */179RPG.Features.Trap.Flash = OZ.Class().extend(RPG.Features.Trap);180RPG.Features.Trap.Flash.visual = { desc:"flash trap", image:"trap-flash", color:"#ff0" }181182RPG.Features.Trap.Flash.prototype.setOff = function(being) {183 var canSee = RPG.Game.pc.canSee(this._coords);184185 var blindness = new RPG.Effects.Blindness(5);186 being.addEffect(blindness);187188 if (canSee) {189 var s = RPG.Misc.format("%A %is blinded by a light flash!", being);190 RPG.UI.buffer.message(s);191 }192}193194/**195 * @class Abstract destroyable feature196 * @augments RPG.Features.BaseFeature197 * @augments RPG.Features.IDamageReceiver198 */199RPG.Features.Destroyable = OZ.Class().extend(RPG.Features.BaseFeature)200 .implement(RPG.Misc.IDamageReceiver);201202RPG.Features.Destroyable.factory.frequency = 0;203RPG.Features.Destroyable.prototype.damage = function(amount) {204 this._hp -= amount;205 if (!this.isAlive()) { this._destroy(); }206}207RPG.Features.Destroyable.prototype.isAlive = function() {208 return this._hp > 0;209}210211/**212 * This being just destroyed this feature213 * @param {RPG.Beings.BaseBeing} being214 */215RPG.Features.Destroyable.prototype._destroy = function() {216 this._map.setFeature(null, this._coords); 217}218219/**220 * @class Tombstone feature221 * @augments RPG.Features.Destroyable222 */223RPG.Features.Tombstone = OZ.Class().extend(RPG.Features.Destroyable);224RPG.Features.Tombstone.visual = { desc:"tombstone", image:"tombstone", ch:"\u2020", color:"#666"};225RPG.Features.Tombstone.prototype._blocks = RPG.BLOCKS_MOVEMENT;226RPG.Features.Tombstone.prototype.init = function() {227 this.parent();228 this._hp = 4;229}230RPG.Features.Tombstone.prototype._destroy = function() {231 this.parent();232 var undead = RPG.Factories.undead.getInstance(this._map.getDanger());233 RPG.Game.getEngine().addActor(undead);234 this._map.setBeing(undead, this._coords);235}236237/**238 * @class Door239 * @augments RPG.Features.Destroyable240 */241RPG.Features.Door = OZ.Class().extend(RPG.Features.Destroyable);242RPG.Features.Door.visual = { color:"#963" }243RPG.Features.Door.prototype.init = function() {244 this.parent();245 this._hp = 4;246 this._closed = null;247 this._locked = null;248 this.open();249}250251RPG.Features.Door.prototype.getVisualProperty = function(name) {252 var result = this.parent(name);253 if (this._closed) {254 var data = {255 ch: "+",256 desc: "closed door",257 image: "door-closed"258 };259 } else {260 var data = {261 ch: "/",262 desc: "open door",263 image: "door-open"264 };265 }266 return data[name] || this.parent(name);267}268269RPG.Features.Door.prototype.lock = function() {270 this.close();271 this._locked = true;272 return this;273}274275RPG.Features.Door.prototype.close = function() {276 this._closed = true;277 this._locked = false;278 this._blocks = RPG.BLOCKS_LIGHT;279 if (this._map && this._map.isActive() && RPG.Game.pc.canSee(this._coords)) { 280 RPG.Game.pc.coordsChanged(this._coords);281 RPG.Game.pc.updateVisibility(); 282 }283 return this;284}285286RPG.Features.Door.prototype.open = function() {287 this._closed = false;288 this._locked = false;289 this._blocks = RPG.BLOCKS_NOTHING;290 if (this._map && this._map.isActive() && RPG.Game.pc.canSee(this._coords)) { 291 RPG.Game.pc.coordsChanged(this._coords);292 RPG.Game.pc.updateVisibility(); 293 }294 return this;295}296297RPG.Features.Door.prototype.unlock = function() {298 this._locked = false;299 return this;300}301302RPG.Features.Door.prototype.isClosed = function() {303 return this._closed;304}305306RPG.Features.Door.prototype.isLocked = function() {307 return this._locked;308}309RPG.Features.Door.prototype._destroy = function() {310 this.parent();311 if (RPG.Game.pc.canSee(this._coords)) { RPG.Game.pc.updateVisibility(); }312}313314/**315 * @class Stained glass window, random shiny color. When destroyed, damages stuff around.316 * @augments RPG.Features.Destroyable317 * @augments RPG.Features.IActor318 * @augments RPG.Features.IDamageDealer319 */320RPG.Features.StainedGlassWindow = OZ.Class().extend(RPG.Features.Destroyable)321 .implement(RPG.IActor)322 .implement(RPG.Misc.IDamageDealer);323324RPG.Features.StainedGlassWindow.visual = { desc:"stained glass window", image:"stained-glass-window", ch:"=" };325RPG.Features.StainedGlassWindow.prototype._blocks = RPG.BLOCKS_MOVEMENT;326RPG.Features.StainedGlassWindow.prototype._hit = new RPG.RandomValue(8, 5);327RPG.Features.StainedGlassWindow.prototype._damage = new RPG.RandomValue(2, 1);328RPG.Features.StainedGlassWindow.prototype.init = function() { 329 this.parent();330 this._hp = 3;331 this._color = ["red","green","blue","yellow","magenta","cyan"].random(); 332}333RPG.Features.StainedGlassWindow.prototype.getColor = function() { 334 return this._color;335}336RPG.Features.StainedGlassWindow.prototype._destroy = function() {337 this.parent();338 RPG.Game.getEngine().addActor(this);339}340/**341 * @see RPG.IActor#getSpeed342 */343RPG.Features.StainedGlassWindow.prototype.getSpeed = function() {344 return 1/0;345}346/**347 * @see RPG.IActor#yourTurn348 * Damage surrounding beings349 */350RPG.Features.StainedGlassWindow.prototype.yourTurn = function() {351 var coords = this._map.getCoordsInCircle(this._coords, 1);352 for (var i=0;i<coords.length;i++) {353 var b = this._map.getBeing(coords[i]);354 if (!b) { continue; }355 var combat = new RPG.Combat(this, b).execute();356 357 if (!combat.wasHit()) {358 var verb = RPG.Misc.verb("evade", b);359 var s = RPG.Misc.format("%The %s the falling glass.", b, verb);360 RPG.UI.buffer.message(s);361 continue;362 }363 364 var verb = (combat.wasKill() ? "killed" : "wounded");365 var s = RPG.Misc.format("%The %is %s by the falling glass!", b, b, verb);366 RPG.UI.buffer.message(s);367 }368369 RPG.Game.getEngine().removeActor(this);370 return RPG.ACTION_TIME;371}372373374/**375 * @class Basic level connector376 * @augments RPG.Features.BaseFeature377 */378RPG.Features.Connector = OZ.Class().extend(RPG.Features.BaseFeature);379380RPG.Features.Connector.prototype.init = function() {381 this.parent();382 this._target = null;383}384385RPG.Features.Connector.prototype.enter = function(being) {386 var target = this.getTarget();387388 if (target) { /* move being to other map */389 var map = target.getMap();390 var coords = target.getCoords();391 map.setBeing(being, coords);392 return RPG.ACTION_TIME;393 } else {394 return RPG.ACTION_NO_TIME;395 }396}397398/**399 * @param {RPG.Features.Connector} target400 */401RPG.Features.Connector.prototype.setTarget = function(target) {402 this._target = target;403 return this;404}405406/**407 * @returns {RPG.Features.Connector || null}408 */409RPG.Features.Connector.prototype.getTarget = function() {410 if (!this._target) { RPG.Game.getStory().staircaseCallback(this); }/* ask story to generate some */411 return this._target;412}413414/**415 * @class Connector in "down" direction416 * @augments RPG.Features.Connector417 */418RPG.Features.Connector.Entry = OZ.Class().extend(RPG.Features.Connector);419RPG.Features.Connector.Entry.visual = { ch:">" };420421/**422 * @class Connector in "up" direction423 * @augments RPG.Features.Connector424 */425RPG.Features.Connector.Exit = OZ.Class().extend(RPG.Features.Connector);426RPG.Features.Connector.Exit.visual = { ch:"<" };427428/**429 * @class Staircase down430 * @augments RPG.Features.Connector.Entry431 */432RPG.Features.StaircaseDown = OZ.Class().extend(RPG.Features.Connector.Entry);433RPG.Features.StaircaseDown.visual = { desc:"staircase leading down", image:"staircase-down", color:"#ccc" }434435/**436 * @class Staircase up437 * @augments RPG.Features.Connector.Exit438 */439RPG.Features.StaircaseUp = OZ.Class().extend(RPG.Features.Connector.Exit);440RPG.Features.StaircaseUp.visual = { desc:"staircase leading up", image:"staircase-up", color:"#ccc" }441442/**443 * @class Road in "up" direction444 * @augments RPG.Features.Connector445 */446RPG.Features.RoadExit = OZ.Class().extend(RPG.Features.Connector.Exit);447RPG.Features.RoadExit.visual = { desc:"road leading away", image:"road-away", color:"#963" };448449/**450 * @class Road in "down" direction451 * @augments RPG.Features.Connector452 */453RPG.Features.RoadEntry = OZ.Class().extend(RPG.Features.Connector.Entry);454RPG.Features.RoadEntry.visual = { desc:"road leading further", image:"road-further", color:"#963" };455456/**457 * @class Set of cells with tutorial messages458 * @augments RPG.Areas.BaseArea459 */460RPG.Areas.Tutorial = OZ.Class().extend(RPG.Areas.BaseArea);461RPG.Areas.Tutorial.prototype._messages = {};462RPG.Areas.Tutorial.prototype.init = function() {463 this.parent();464 this._visited = {};465}466RPG.Areas.Tutorial.prototype.getCoords = function() {467 var all = [];468 for (var p in this._messages) { 469 if (p in this._visited) { continue; }470 all.push(RPG.Coords.fromString(p)); 471 }472 return all;473}474475RPG.Areas.Tutorial.prototype.entering = function(being) {476 this.parent(being);477 if (being != RPG.Game.pc) { return; }478 var id = being.getCoords().toString();479 480 if (id in this._visited) { return; } /* already seen */481 482 /* showing tutorial for the first time? */483 var first = true;484 for (var p in this._visited) { first = false; }485 486 if (first) {487 var text = this._messages[id];488 text += "<br/><br/>";489 text += "Do you want to continue seeing these tutorial tips?";490 491 var yes = function() { /* want to see */492 this._visited[id] = 1;493 }494 495 var no = function() { /* do not want to see, mark all as visited */496 for (var id in this._messages) { this._visited[id] = 1; }497 }498 499 RPG.UI.confirm(text, "Tutorial", yes.bind(this), no.bind(this));500 501 } else {502 this._visited[id] = 1;503 RPG.UI.alert(this._messages[id], "Tutorial");504 }505}506507/**508 * @class Shop area509 * @augments RPG.Areas.Room510 */511RPG.Areas.Shop = OZ.Class().extend(RPG.Areas.Room);512RPG.Areas.Shop.prototype.init = function(corner1, corner2) {513 this.parent(corner1, corner2);514 this._modifiers[RPG.FEAT_MAX_MANA] = -1e6; /* in shops, there is no mana .) */515 this._door = null;516 this._welcome = "You entered a shop.";517}518519RPG.Areas.Shop.prototype.setMap = function(map) {520 this.parent(map);521522 var c = new RPG.Coords(0, 0);523 for (var i=this._corner1.x-1; i<=this._corner2.x+1; i++) {524 for (var j=this._corner1.y-1; j<=this._corner2.y+1; j++) {525 if (i >= this._corner1.x && i <= this._corner2.x && j >= this._corner1.y && j <= this._corner2.y) { continue; }526 c.x = i;527 c.y = j;528 if (this._map.blocks(RPG.BLOCKS_MOVEMENT, c)) { continue; }529 530 if (this._door) { throw new Error("Shop cannot have >1 doors"); }531 this._door = c.clone();532 }533 }534 535 if (!this._door) { throw new Error("Shop without doors"); }536}537538RPG.Areas.Shop.prototype.getDoor = function() {539 return this._door;540}541542RPG.Areas.Shop.prototype.setShopkeeper = function(being) {543 this._map.setBeing(being, this._door);544 var ai = new RPG.AI.Shopkeeper(being, this);545 being.setAI(ai);546}
...
highlight-test.js
Source:highlight-test.js
1/*2* Copyright 2017, GeoSolutions Sas.3* All rights reserved.4*5* This source code is licensed under the BSD-style license found in the6* LICENSE file in the root directory of this source tree.7*/8import expect from 'expect';9import {10 selectedFeatures,11 filteredspatialObject,12 filteredspatialObjectCoord,13 filteredGeometry,14 filteredSpatialObjectId,15 filteredSpatialObjectCrs,16 filteredspatialObjectType,17 filteredFeatures,18 highlighedFeatures19} from '../highlight';20const idFt1 = "idFt1";21const idFt2 = "idFt2";22const modeEdit = "edit";23let feature1 = {24 type: "Feature",25 geometry: {26 type: "Point",27 coordinates: [1, 2]28 },29 id: idFt1,30 properties: {31 someProp: "someValue"32 }33};34let feature2 = {35 type: "Feature",36 geometry: {37 type: "Point",38 coordinates: [1, 2]39 },40 id: idFt2,41 properties: {42 someProp: "someValue"43 }44};45let feature3 = [{46 type: "Feature",47 geometry: {48 type: 'Polygon',49 coordinates: [ [ 0.000008983152841195214, 0.000017966305681987637 ] ]50 },51 style: {52 fillColor: '#FFFFFF',53 fillOpacity: '0.2',54 color: '#ffcc33'55 },56 id: 'spatial_object'57}];58const initialState = {59 featuregrid: {60 mode: modeEdit,61 select: [feature1, feature2],62 changes: [feature2],63 showFilteredObject: true,64 open: true65 },66 highlight: {67 featuresPath: "featuregrid.select"68 },69 query: {70 filterObj: {71 spatialField: {72 geometry: {73 type: 'Polygon',74 coordinates: [[ 1, 2]],75 projection: 'EPSG:3857',76 id: 'spatial_object'77 }78 }79 }80 }81};82describe('Test highlight selectors', () => {83 it('test if there are some selected features', () => {84 const features = selectedFeatures(initialState);85 expect(features).toExist();86 expect(features.length).toBe(2);87 });88 it('test if there are not some selected features', () => {89 initialState.featuregrid.select = [];90 const features = selectedFeatures(initialState);91 expect(features).toExist();92 expect(features.length).toBe(0);93 });94 it('test filteredspatialObject', () => {95 const spatialObject = initialState.query.filterObj.spatialField;96 const features = filteredspatialObject(initialState);97 expect(features).toExist();98 expect(features).toBe(spatialObject);99 });100 it('test filteredspatialObject with empty state', () => {101 expect(filteredspatialObject({})).toBe(undefined);102 });103 it('test filteredGeometry', () => {104 const geometry = initialState.query.filterObj.spatialField.geometry;105 const features = filteredGeometry(initialState);106 expect(features).toExist();107 expect(features).toBe(geometry);108 });109 it('test filteredspatialObjectCoord', () => {110 const coordinates = initialState.query.filterObj.spatialField.geometry.coordinates;111 const features = filteredspatialObjectCoord(initialState);112 expect(features).toExist();113 expect(features).toBe(coordinates);114 });115 it('test filteredSpatialObjectId', () => {116 const geometryId = initialState.query.filterObj.spatialField.geometry.id;117 const features = filteredSpatialObjectId(initialState);118 expect(features).toExist();119 expect(features).toBe(geometryId);120 });121 it('test filteredSpatialObjectCrs', () => {122 const geometryCrs = initialState.query.filterObj.spatialField.geometry.projection;123 const features = filteredSpatialObjectCrs(initialState);124 expect(features).toExist();125 expect(features).toBe(geometryCrs);126 });127 it('test filteredspatialObjectType', () => {128 const geometryType = initialState.query.filterObj.spatialField.geometry.type;129 const features = filteredspatialObjectType(initialState);130 expect(features).toExist();131 expect(features).toBe(geometryType);132 });133 it('test filteredFeatures', () => {134 const features = filteredFeatures(initialState);135 expect(features).toExist();136 expect(features).toEqual(feature3);137 });138 it('test highlighedFeatures', () => {139 const features = highlighedFeatures(initialState);140 const featuresSelected = initialState.featuregrid.select;141 const combinedFeatures = [...featuresSelected, ...feature3];142 expect(features).toExist();143 expect(features).toEqual(combinedFeatures);144 });...
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