| /external/python/cpython3/Lib/test/test_json/ |
| test_speedups.py | 44 enc = self.json.encoder.c_make_encoder(None, lambda obj: str(obj),
54 enc = self.json.encoder.c_make_encoder(None, lambda obj: str(obj),
|
| /external/python/setuptools/setuptools/command/ |
| install.py | 27 ('install_egg_info', lambda self: True),
28 ('install_scripts', lambda self: True),
|
| /external/scapy/scapy/contrib/ |
| pnio_rtc.py | 72 StrFixedLenField("load", "", length_from=lambda p: p[PNIORealTimeRawData].length()),
116 computed from a given lambda"""
210 NotionalLenField("len", None, length_from=lambda p, s: len(s)),
211 NotionalLenField("dataLen", None, length_from=lambda p, s: len(s[:-4].rstrip(b"\0"))),
212 LowerLayerBoundPacketListField("data", [], _pnio_rtc_guess_payload_class, length_from=lambda p: p.dataLen),
213 StrFixedLenField("padding", "", length_from=lambda p: p[PNIORealTime].padding_length()),
447 self.length_from = lambda p, l=length: l
468 StrFixedLenField("load", "", length_from=lambda p: p[Profisafe].data_length()),
470 XVarBytesField("CRC", 0, length_from=lambda p: p[Profisafe].crc_length())
|
| sebek.py | 43 StrLenField("data", "", length_from=lambda x:x.data_length) ]
59 StrLenField("data", "", length_from=lambda x:x.data_length) ]
|
| /external/scapy/scapy/layers/ |
| ntp.py | 258 XStrFixedLenField("dgst", "", length_from=lambda x: 16)
448 ConditionalField(IPField("id", "127.0.0.1"), lambda p: p.stratum > 1),
456 lambda p: p.stratum < 2
818 "status_word", "", Packet), lambda p: p.response == 1),
819 ConditionalField(ShortField("status", 0), lambda p: p.response == 0),
824 "data", "", Packet, length_from=lambda p: p.count),
1016 count_from=lambda p: _NTP_SHIFT
1022 count_from=lambda p: _NTP_SHIFT
1028 count_from=lambda p: _NTP_SHIFT
[all...] |
| vrrp.py | 32 count_from = lambda pkt: pkt.ipcount),
64 count_from = lambda pkt: pkt.ipcount)]
|
| /external/tensorflow/tensorflow/compiler/tests/ |
| nullary_ops_test.py | 59 self._testNullary(lambda c=c: constant_op.constant(c), expected=c)
76 self._testNullary(lambda c=c: constant_op.constant(c), expected=c)
|
| /external/tensorflow/tensorflow/compiler/xla/python_api/ |
| xla_literal.py | 52 numpy_reshaper = lambda arr: arr.reshape(numpy_shape, order='F')
54 numpy_reshaper = lambda arr: arr.reshape(numpy_shape, order='C')
|
| /external/tensorflow/tensorflow/contrib/distribute/python/ |
| monitor_test.py | 67 lambda: gradient_descent.GradientDescentOptimizer(0.2), distribution)
77 lambda: gradient_descent.GradientDescentOptimizer(0.2), distribution)
|
| /external/tensorflow/tensorflow/contrib/gan/python/features/python/ |
| random_tensor_pool_impl.py | 123 return control_flow_ops.cond(prob, lambda: dequeue_values,
124 lambda: input_values)
|
| /external/tensorflow/tensorflow/contrib/learn/python/learn/preprocessing/ |
| categorical_vocabulary.py | 114 key=lambda x: (isinstance(x[0], str), x[0])),
115 key=lambda x: x[1],
|
| /external/tensorflow/tensorflow/contrib/opt/python/training/ |
| multitask_optimizer_wrapper.py | 136 lambda: array_ops.zeros([], dtype=dtypes.as_dtype(grad.dtype)),
137 lambda: grad)
|
| shampoo.py | 68 a lambda function that depends on step.
89 For time-varying parameters use e.g. "lambda T: T / (T + 1.0)"
90 where the expression in the lambda is a tensorflow expression
107 "svd_interval = lambda(T): tf.cond(
108 T < 2000, lambda: 20.0, lambda: 1000.0)"
358 # pylint: disable=g-long-lambda,cell-var-from-loop
361 lambda: self._update_mat_g(
364 lambda: mat_g)
373 lambda: self._compute_power(var, mat_g_updated, shape[i]
[all...] |
| /external/tensorflow/tensorflow/contrib/training/python/training/ |
| sgdr_learning_rate_decay.py | 179 lambda: compute_step(x_val, geometric=False),
180 lambda: compute_step(x_val, geometric=True))
|
| /external/tensorflow/tensorflow/examples/saved_model/integration_tests/ |
| use_mnist_cnn.py | 64 regularizer = lambda: tf.keras.regularizers.l2(l2_strength)
76 def _scale_one_loss(l): # Separate def avoids lambda capture of loop var.
77 f = tf.function(lambda: tf.multiply(multiplier, l()))
|
| util.py | 29 # TODO(vbardiovsky): We should just reuse Keras's Lambda layer, when that
100 lambda: f(training=True),
101 lambda: f(training=False))
|
| /external/tensorflow/tensorflow/lite/testing/ |
| generate_examples_report.py | 44 reports.sort(key=lambda x: x[1]["toco"], reverse=False)
45 reports.sort(key=lambda x: x[1]["tf"], reverse=True)
|
| /external/tensorflow/tensorflow/python/autograph/operators/ |
| logical.py | 61 return control_flow_ops.cond(cond, b, lambda: cond)
80 return control_flow_ops.cond(cond, lambda: cond, b)
|
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| linalg_ops_test.py | 165 lambda: array_ops.placeholder_with_default(2, shape=None),
166 lambda: None),
168 lambda: array_ops.placeholder_with_default(2, shape=None),
169 lambda: 3),
171 lambda: 2,
172 lambda: array_ops.placeholder_with_default(3, shape=None)),
174 lambda: array_ops.placeholder_with_default(2, shape=None),
175 lambda: array_ops.placeholder_with_default(3, shape=None)))
|
| /external/tensorflow/tensorflow/python/ops/signal/ |
| window_ops.py | 129 lambda: array_ops.ones([1], dtype=dtype),
130 lambda: math_ops.cast(a - b * math_ops.cos(cos_arg), dtype=dtype))
|
| /external/tensorflow/tensorflow/tools/compatibility/testdata/ |
| test_file_v1_12.py | 86 input_fn=lambda: (data, target),
89 input_fn=lambda: (data, target),
|
| /external/v8/tools/testrunner/local/ |
| statusfile_unittest.py | 77 lambda: statusfile._EvalExpression(
81 lambda: statusfile._EvalExpression(
|
| /external/webrtc/webrtc/modules/audio_processing/aec/ |
| aec_core_mips.c | 30 const float* lambda) {
163 "lwc1 %[tmp1f], 0(%[lambda]) \n\t"
164 "lwc1 %[tmp6f], 4(%[lambda]) \n\t"
165 "addiu %[lambda], %[lambda], 8 \n\t"
255 : [lambda] "+r" (lambda), [u_ptr] "+r" (u_ptr),
265 lambda -= PART_LEN;
266 tmp = sqrtf(WEBRTC_SPL_MAX(1 - lambda[PART_LEN] * lambda[PART_LEN], 0))
[all...] |
| /external/webrtc/webrtc/modules/audio_processing/intelligibility/ |
| intelligibility_enhancer.cc | 225 const float lambda = lambda_bot + (lambda_top - lambda_bot) / 2.0f; local
226 SolveForGainsGivenLambda(lambda, start_freq_, gains_eq_.get());
230 lambda_bot = lambda;
232 lambda_top = lambda;
331 void IntelligibilityEnhancer::SolveForGainsGivenLambda(float lambda,
346 lambda * var_x0[n] * var_n0[n] * var_n0[n];
347 beta0 = lambda * var_x0[n] * (2 - rho_[n]) * var_x0[n] * var_n0[n];
349 alpha0 = lambda * var_x0[n] * (1 - rho_[n]) * var_x0[n] * var_x0[n];
|
| /device/linaro/bootloader/edk2/AppPkg/Applications/Python/Python-2.7.2/Lib/test/ |
| test_datetime.py | 150 self.assertRaises(TypeError, lambda: me < ())
151 self.assertRaises(TypeError, lambda: me <= ())
152 self.assertRaises(TypeError, lambda: me > ())
153 self.assertRaises(TypeError, lambda: me >= ())
155 self.assertRaises(TypeError, lambda: () < me)
156 self.assertRaises(TypeError, lambda: () <= me)
157 self.assertRaises(TypeError, lambda: () > me)
158 self.assertRaises(TypeError, lambda: () >= me)
246 self.assertRaises(TypeError, lambda: a+i)
247 self.assertRaises(TypeError, lambda: a-i)
[all...] |
