/external/robolectric-shadows/robolectric/src/test/java/org/robolectric/shadows/ |
D | ShadowCameraParametersTest.java | 19 private Camera.Parameters parameters; field in ShadowCameraParametersTest 23 parameters = Shadow.newInstanceOf(Camera.Parameters.class); in setUp() 28 assertThat(Shadows.shadowOf(parameters).getPictureHeight()).isNotEqualTo(600); in testPictureSize() 29 assertThat(Shadows.shadowOf(parameters).getPictureWidth()).isNotEqualTo(800); in testPictureSize() 30 parameters.setPictureSize(800, 600); in testPictureSize() 31 Camera.Size pictureSize = parameters.getPictureSize(); in testPictureSize() 34 assertThat(Shadows.shadowOf(parameters).getPictureHeight()).isEqualTo(600); in testPictureSize() 35 assertThat(Shadows.shadowOf(parameters).getPictureWidth()).isEqualTo(800); in testPictureSize() 41 parameters.getPreviewFpsRange(fpsRange); in testPreviewFpsRange() 44 parameters.setPreviewFpsRange(15, 25); in testPreviewFpsRange() [all …]
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/external/webrtc/modules/audio_coding/codecs/isac/main/source/ |
D | pitch_filter.c | 135 static void FilterSegment(const double* in_data, PitchFilterParam* parameters, in FilterSegment() argument 144 int pos = parameters->index + PITCH_BUFFSIZE; in FilterSegment() 147 int pos_lag = pos - parameters->lag_offset; in FilterSegment() 149 for (n = 0; n < parameters->num_samples; ++n) { in FilterSegment() 152 parameters->damper_state[m] = parameters->damper_state[m - 1]; in FilterSegment() 157 sum += parameters->buffer[pos_lag + m] * parameters->interpol_coeff[m]; in FilterSegment() 160 parameters->damper_state[0] = parameters->gain * sum; in FilterSegment() 162 if (parameters->mode == kPitchFilterPreGain) { in FilterSegment() 163 int lag_index = parameters->index - parameters->lag_offset; in FilterSegment() 168 parameters->damper_state_dg[j][m] = in FilterSegment() [all …]
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/external/tensorflow/tensorflow/lite/testing/op_tests/ |
D | transpose_conv.py | 114 def get_tensor_shapes(parameters): argument 115 input_shape = parameters["input_shape"] 116 filter_size = parameters["filter_size"] 117 if not parameters["const_weight_bias"]: 119 input_shape[3], parameters["channel_multiplier"] 124 def build_graph(parameters): argument 126 input_shape, filter_shape = get_tensor_shapes(parameters) 133 if not parameters["const_weight_bias"]: 138 strides=parameters["strides"], 139 padding=parameters["padding"], [all …]
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D | unidirectional_sequence_lstm.py | 40 def build_graph(parameters): argument 43 if parameters["is_dynamic_rnn"]: 45 parameters["seq_length"], parameters["batch_size"], 46 parameters["units"] 52 parameters["units"], use_peepholes=parameters["use_peepholes"]) 57 shape = [parameters["batch_size"], parameters["units"]] 58 for i in range(parameters["seq_length"]): 63 parameters["units"], use_peepholes=parameters["use_peepholes"]) 70 def build_inputs(parameters, sess, inputs, outputs): argument 73 if parameters["is_dynamic_rnn"]: [all …]
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D | strided_slice.py | 31 def build_graph(parameters): argument 34 dtype=parameters["dtype"], 36 shape=parameters["input_shape"]) 37 if parameters["constant_indices"]: 38 begin = parameters["begin"] 39 end = parameters["end"] 40 strides = parameters["strides"] 44 dtype=parameters["index_type"], 46 shape=[len(parameters["begin"])]) 48 dtype=parameters["index_type"], [all …]
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D | unidirectional_sequence_rnn.py | 39 def build_graph(parameters): argument 42 if parameters["is_dynamic_rnn"]: 44 parameters["seq_length"], parameters["batch_size"], 45 parameters["units"] 50 rnn_cell = tf.lite.experimental.nn.TfLiteRNNCell(parameters["units"]) 55 shape = [parameters["batch_size"], parameters["units"]] 56 for i in range(parameters["seq_length"]): 60 rnn_cell = tf.lite.experimental.nn.TfLiteRNNCell(parameters["units"]) 67 def build_inputs(parameters, sess, inputs, outputs): argument 70 if parameters["is_dynamic_rnn"]: [all …]
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D | gather.py | 49 def build_graph(parameters): argument 53 if parameters["constant_params"]: 54 params = create_tensor_data(parameters["params_dtype"], 55 parameters["params_shape"]) 58 dtype=parameters["params_dtype"], 60 shape=parameters["params_shape"]) 64 dtype=parameters["indices_dtype"], 66 shape=parameters["indices_shape"]) 68 axis = min(len(parameters["params_shape"]), parameters["axis"]) 72 def build_inputs(parameters, sess, inputs, outputs): argument [all …]
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D | fused_batch_norm.py | 46 def build_graph(parameters): argument 48 input_shape = parameters["input_shape"] 51 scale = create_tensor_data(parameters["dtype"], scale_shape) 52 offset = create_tensor_data(parameters["dtype"], scale_shape) 53 mean = create_tensor_data(parameters["dtype"], scale_shape) 54 variance = create_tensor_data(parameters["dtype"], scale_shape) 57 dtype=parameters["dtype"], name="x", shape=parameters["input_shape"]) 64 parameters["epsilon"], 66 is_training=parameters["is_training"]) 69 dtype=parameters["dtype"], [all …]
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D | global_batch_norm.py | 37 def build_graph(parameters): argument 39 input_shape = parameters["input_shape"] 42 scale = create_tensor_data(parameters["dtype"], scale_shape) 43 offset = create_tensor_data(parameters["dtype"], scale_shape) 44 mean = create_tensor_data(parameters["dtype"], scale_shape) 45 variance = create_tensor_data(parameters["dtype"], scale_shape) 47 x = create_tensor_data(parameters["dtype"], parameters["input_shape"]) 49 x, mean, variance, scale, offset, parameters["epsilon"], 50 parameters["scale_after"]) 53 dtype=parameters["dtype"], [all …]
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D | conv_to_depthwiseconv_with_shared_weights.py | 41 def get_tensor_shapes(parameters): argument 42 input_shape = parameters["input_shape"] 43 filter_size = parameters["filter_shape"] 45 input_shape[3], parameters["channel_multiplier"] 49 def build_graph(parameters): argument 51 input_shape, filter_shape = get_tensor_shapes(parameters) 65 strides=parameters["strides"], 66 dilations=parameters["dilations"], 67 padding=parameters["padding"], 68 data_format=parameters["data_format"]) [all …]
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D | conv_with_shared_weights.py | 42 def get_tensor_shapes(parameters): argument 43 input_shape = parameters["input_shape"] 44 filter_size = parameters["filter_shape"] 46 input_shape[3], parameters["channel_multiplier"] 50 def build_graph(parameters): argument 52 input_shape, filter_shape = get_tensor_shapes(parameters) 70 strides=parameters["strides"], 71 dilations=parameters["dilations"], 72 padding=parameters["padding"], 73 data_format=parameters["data_format"]) [all …]
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D | sparse_to_dense.py | 51 def build_graph(parameters): argument 53 dense_shape = parameters["dense_shape"] 57 if parameters["value_is_scalar"] and parameters["value_count"] == 1: 59 name="value", dtype=parameters["value_dtype"], shape=()) 63 dtype=parameters["value_dtype"], 64 shape=[parameters["value_count"]]) 66 while len(indices) < parameters["value_count"]: 68 indices = tf.constant(tuple(indices), dtype=parameters["index_dtype"]) 74 parameters["default_value"], 79 def build_inputs(parameters, sess, inputs, outputs): argument [all …]
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/external/ImageMagick/coders/ |
D | jp2.c | 272 parameters; in ReadJP2Image() local 324 opj_set_default_decoder_parameters(¶meters); in ReadJP2Image() 327 parameters.cp_reduce=StringToInteger(option); in ReadJP2Image() 330 parameters.cp_layer=StringToInteger(option); in ReadJP2Image() 331 if (opj_setup_decoder(jp2_codec,¶meters) == 0) in ReadJP2Image() 726 opj_cparameters_t *parameters) in CinemaProfileCompliance() argument 731 parameters->tile_size_on=OPJ_FALSE; in CinemaProfileCompliance() 732 parameters->cp_tdx=1; in CinemaProfileCompliance() 733 parameters->cp_tdy=1; in CinemaProfileCompliance() 734 parameters->tp_flag='C'; in CinemaProfileCompliance() [all …]
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/external/google-java-format/core/src/main/java/com/google/googlejavaformat/java/ |
D | Main.java | 89 CommandLineOptions parameters = processArgs(args); in format() local 90 if (parameters.version()) { in format() 94 if (parameters.help()) { in format() 100 .style(parameters.aosp() ? Style.AOSP : Style.GOOGLE) in format() 101 .formatJavadoc(parameters.formatJavadoc()) in format() 104 if (parameters.stdin()) { in format() 105 return formatStdin(parameters, options); in format() 107 return formatFiles(parameters, options); in format() 111 private int formatFiles(CommandLineOptions parameters, JavaFormatterOptions options) { in formatFiles() argument 112 int numThreads = Math.min(MAX_THREADS, parameters.files().size()); in formatFiles() [all …]
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/external/zstd/lib/dictBuilder/ |
D | fastcover.c | 150 ZDICT_cover_params_t parameters, in FASTCOVER_selectSegment() argument 153 const U32 k = parameters.k; in FASTCOVER_selectSegment() 154 const U32 d = parameters.d; in FASTCOVER_selectSegment() 221 static int FASTCOVER_checkParameters(ZDICT_cover_params_t parameters, in FASTCOVER_checkParameters() argument 225 if (parameters.d == 0 || parameters.k == 0) { in FASTCOVER_checkParameters() 229 if (parameters.d != 6 && parameters.d != 8) { in FASTCOVER_checkParameters() 233 if (parameters.k > maxDictSize) { in FASTCOVER_checkParameters() 237 if (parameters.d > parameters.k) { in FASTCOVER_checkParameters() 245 if (parameters.splitPoint <= 0 || parameters.splitPoint > 1) { in FASTCOVER_checkParameters() 395 ZDICT_cover_params_t parameters, in FASTCOVER_buildDictionary() argument [all …]
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/external/nist-sip/java/gov/nist/javax/sip/address/ |
D | TelephoneNumber.java | 57 protected NameValueList parameters; field in TelephoneNumber 61 parameters = new NameValueList(); in TelephoneNumber() 68 parameters.delete(name); in deleteParm() 82 return (String) parameters.getValue(POSTDIAL); in getPostDial() 90 return (String) parameters.getValue(ISUB); in getIsdnSubaddress() 97 return parameters.getValue(POSTDIAL) != null; in hasPostDial() 105 return parameters.hasNameValue(pname); in hasParm() 127 parameters.delete(POSTDIAL); in removePostDial() 142 parameters = p; in setParameters() 157 parameters.set(nv); in setPostDial() [all …]
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/external/webrtc/modules/audio_processing/agc2/ |
D | compute_interpolated_gain_curve.cc | 136 test::InterpolatedParameters* parameters) { in PrecomputeKneeApproxParams() argument 145 parameters->computed_approximation_params_x[0] = points[0]; in PrecomputeKneeApproxParams() 146 parameters->computed_approximation_params_x[1] = in PrecomputeKneeApproxParams() 150 std::begin(parameters->computed_approximation_params_x) + 2); in PrecomputeKneeApproxParams() 154 const double x0 = parameters->computed_approximation_params_x[i]; in PrecomputeKneeApproxParams() 155 const double x1 = parameters->computed_approximation_params_x[i + 1]; in PrecomputeKneeApproxParams() 159 parameters->computed_approximation_params_m[i] = (y1 - y0) / (x1 - x0); in PrecomputeKneeApproxParams() 160 parameters->computed_approximation_params_q[i] = in PrecomputeKneeApproxParams() 161 y0 - parameters->computed_approximation_params_m[i] * x0; in PrecomputeKneeApproxParams() 170 test::InterpolatedParameters* parameters) { in PrecomputeBeyondKneeApproxParams() argument [all …]
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/external/webrtc/modules/audio_coding/neteq/ |
D | background_noise.cc | 63 ChannelParameters& parameters = channel_parameters_[channel_ix]; in Update() local 72 sample_energy < parameters.energy_update_threshold) || in Update() 83 if (sample_energy < parameters.energy_update_threshold) { in Update() 85 parameters.energy_update_threshold = std::max(sample_energy, 1); in Update() 86 parameters.low_energy_update_threshold = 0; in Update() 244 ChannelParameters& parameters = channel_parameters_[channel]; in IncrementEnergyThreshold() local 246 (kThresholdIncrement * parameters.low_energy_update_threshold) >> 16; in IncrementEnergyThreshold() 248 kThresholdIncrement * (parameters.energy_update_threshold & 0xFF); in IncrementEnergyThreshold() 250 (kThresholdIncrement * ((parameters.energy_update_threshold >> 8) & 0xFF)) in IncrementEnergyThreshold() 252 parameters.low_energy_update_threshold += temp_energy; in IncrementEnergyThreshold() [all …]
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D | expand.cc | 110 ChannelParameters& parameters = channel_parameters_[channel_ix]; in Process() local 114 parameters.expand_vector0.Size()); in Process() 115 parameters.expand_vector0.CopyTo(temp_length, expansion_vector_position, in Process() 119 parameters.expand_vector0.CopyTo(temp_length, expansion_vector_position, in Process() 122 parameters.expand_vector1.CopyTo(temp_length, expansion_vector_position, in Process() 130 parameters.expand_vector0.Size()); in Process() 132 parameters.expand_vector1.Size()); in Process() 135 parameters.expand_vector0.CopyTo(temp_length, expansion_vector_position, in Process() 138 parameters.expand_vector1.CopyTo(temp_length, expansion_vector_position, in Process() 171 if ((parameters.mute_factor > 819) && in Process() [all …]
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/external/webrtc/sdk/android/instrumentationtests/src/org/webrtc/ |
D | RtpSenderTest.java | 56 RtpParameters parameters = sender.getParameters(); in testSetDegradationPreference() local 57 assertNotNull(parameters); in testSetDegradationPreference() 58 assertNull(parameters.degradationPreference); in testSetDegradationPreference() 60 parameters.degradationPreference = DegradationPreference.MAINTAIN_FRAMERATE; in testSetDegradationPreference() 61 assertTrue(sender.setParameters(parameters)); in testSetDegradationPreference() 62 parameters = sender.getParameters(); in testSetDegradationPreference() 63 assertEquals(DegradationPreference.MAINTAIN_FRAMERATE, parameters.degradationPreference); in testSetDegradationPreference() 65 parameters.degradationPreference = DegradationPreference.MAINTAIN_RESOLUTION; in testSetDegradationPreference() 66 assertTrue(sender.setParameters(parameters)); in testSetDegradationPreference() 67 parameters = sender.getParameters(); in testSetDegradationPreference() [all …]
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/external/apache-commons-math/src/main/java/org/apache/commons/math/optimization/fitting/ |
D | ParametricGaussianFunction.java | 83 public double value(double x, double[] parameters) throws ZeroException { in value() argument 84 validateParameters(parameters); in value() 85 final double a = parameters[0]; in value() 86 final double b = parameters[1]; in value() 87 final double c = parameters[2]; in value() 88 final double d = parameters[3]; in value() 124 public double[] gradient(double x, double[] parameters) throws ZeroException { in gradient() argument 126 validateParameters(parameters); in gradient() 127 final double b = parameters[1]; in gradient() 128 final double c = parameters[2]; in gradient() [all …]
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/external/skia/src/sksl/ir/ |
D | SkSLFunctionDeclaration.cpp | 66 std::vector<std::unique_ptr<Variable>>& parameters, bool isMain, in check_parameters() argument 73 for (auto& param : parameters) { in check_parameters() 118 std::vector<std::unique_ptr<Variable>>& parameters, in check_main_signature() argument 128 const Variable& p = *parameters[idx]; in check_main_signature() 137 return typeIsValidForColor(parameters[idx]->type()) && in check_main_signature() 138 parameters[idx]->modifiers().fFlags == 0 && in check_main_signature() 139 parameters[idx]->modifiers().fLayout.fBuiltin == SK_INPUT_COLOR_BUILTIN; in check_main_signature() 149 bool validParams = (parameters.size() == 1 && paramIsInputColor(0)); in check_main_signature() 163 (parameters.size() == 1 && paramIsCoords(0)) || in check_main_signature() 164 (parameters.size() == 2 && paramIsCoords(0) && paramIsInputColor(1)); in check_main_signature() [all …]
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/external/javaparser/javaparser-core/src/main/java/com/github/javaparser/ast/expr/ |
D | LambdaExpr.java | 63 private NodeList<Parameter> parameters; field in LambdaExpr 83 public LambdaExpr(NodeList<Parameter> parameters, BlockStmt body) { in LambdaExpr() argument 84 this(null, parameters, body, true); in LambdaExpr() 97 public LambdaExpr(NodeList<Parameter> parameters, Expression body) { in LambdaExpr() argument 98 this(null, parameters, new ExpressionStmt(body), true); in LambdaExpr() 102 … public LambdaExpr(NodeList<Parameter> parameters, Statement body, boolean isEnclosingParameters) { in LambdaExpr() argument 103 this(null, parameters, body, isEnclosingParameters); in LambdaExpr() 110 …public LambdaExpr(TokenRange tokenRange, NodeList<Parameter> parameters, Statement body, boolean i… in LambdaExpr() argument 112 setParameters(parameters); in LambdaExpr() 120 return parameters; in getParameters() [all …]
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/external/webrtc/media/engine/ |
D | webrtc_voice_engine_unittest.cc | 417 cricket::AudioSendParameters parameters; in TestMaxSendBandwidth() local 418 parameters.codecs.push_back(codec); in TestMaxSendBandwidth() 419 parameters.max_bandwidth_bps = max_bitrate; in TestMaxSendBandwidth() 421 SetSendParameters(parameters); in TestMaxSendBandwidth() 423 EXPECT_FALSE(channel_->SetSendParameters(parameters)); in TestMaxSendBandwidth() 430 webrtc::RtpParameters parameters = channel_->GetRtpSendParameters(ssrc); in SetMaxBitrateForStream() local 431 EXPECT_EQ(1UL, parameters.encodings.size()); in SetMaxBitrateForStream() 433 parameters.encodings[0].max_bitrate_bps = bitrate; in SetMaxBitrateForStream() 434 return channel_->SetRtpSendParameters(ssrc, parameters).ok(); in SetMaxBitrateForStream() 872 cricket::AudioRecvParameters parameters; in TEST_P() local [all …]
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/external/nist-sip/java/gov/nist/javax/sip/header/ |
D | ParametersHeader.java | 54 protected NameValueList parameters; field in ParametersHeader 59 this.parameters = new NameValueList(); in ParametersHeader() 65 this.parameters = new NameValueList(); in ParametersHeader() 71 this.parameters = new NameValueList(sync); in ParametersHeader() 84 return this.parameters.getParameter(name); in getParameter() 95 return this.parameters.getValue(name); in getParameterValue() 106 return parameters.getNames(); in getParameterNames() 115 return parameters != null && !parameters.isEmpty(); in hasParameters() 127 this.parameters.delete(name); in removeParameter() 149 NameValue nv = parameters.getNameValue(name); in setParameter() [all …]
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