| /external/python/cpython2/Lib/unittest/test/ |
| test_runner.py | 174 runner._makeResult = lambda: result
192 runner._makeResult = lambda: result
|
| /external/python/cpython2/Mac/Modules/ctl/ |
| ctlsupport.py | 545 f.docstring = lambda: "(Point startPoint [,trackercallback]) -> (ControlPartCode _rv)"
581 f.docstring = lambda: "(Point startPoint, Integer modifiers, [,trackercallback]) -> (ControlPartCode _rv)"
611 f.docstring = lambda: "(stuff) -> None"
656 f.docstring = lambda: "(part, type) -> String"
685 f.docstring = lambda: "(ResObj) -> None"
728 f.docstring = lambda: "(part, type) -> ResObj"
760 f.docstring = lambda: "(callbackfunc) -> None"
821 f.docstring = lambda: "(WindowPtr window, Rect boundsRect, UInt16 size, UInt16 direction, ControlTabEntry tabArray) -> (ControlHandle outControl)"
|
| /external/python/cpython3/Lib/asyncio/ |
| subprocess.py | 197 protocol_factory = lambda: SubprocessStreamProtocol(limit=limit,
211 protocol_factory = lambda: SubprocessStreamProtocol(limit=limit,
|
| /external/python/cpython3/Lib/test/ |
| test_pyclbr.py | 15 StaticMethodType = type(staticmethod(lambda: None))
16 ClassMethodType = type(classmethod(lambda c: None))
|
| /external/python/cpython3/Tools/scripts/ |
| patchcheck.py | 74 info=lambda x: x if x is not None else "not a PR branch")
93 info=lambda x: n_files_str(len(x)))
|
| /external/scapy/scapy/contrib/ |
| macsec.py | 197 ConditionalField(PacketField("sci", None, MACsecSCI), lambda pkt: pkt.SC),
199 lambda pkt: pkt.type is not None)]
|
| /external/scapy/scapy/layers/ |
| pptp.py | 56 adjust=lambda p, x: x + 12),
61 StrLenField("data", "",length_from=lambda p: p.len - 12)]
|
| /external/scapy/scapy/ |
| route6.py | 226 pathes.sort(reverse=True, key=lambda x: x[0])
243 pathes.sort(key=lambda x: x[1])
|
| /external/sl4a/Docs/ |
| generate_api_from_javadoc.py | 105 facades = sorted(facades, key=lambda x: x.directory)
146 facade.rpcs.sort(key=lambda rpc: rpc.name)
|
| /external/swiftshader/third_party/llvm-7.0/llvm/tools/opt-viewer/ |
| opt-viewer.py | 250 sorted_remarks = sorted(optrecord.itervalues(all_remarks), key=lambda r: (r.Hotness, r.File, r.Line, r.Column, r.PassWithDiffPrefix, r.yaml_tag, r.Function), reverse=True)
252 sorted_remarks = sorted(optrecord.itervalues(all_remarks), key=lambda r: (r.File, r.Line, r.Column, r.PassWithDiffPrefix, r.yaml_tag, r.Function))
|
| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| run_config.py | 360 sorted(state.items(), key=lambda t: t[0]))
366 key=lambda t: t[0]))
|
| /external/tensorflow/tensorflow/contrib/opt/python/training/ |
| external_optimizer.py | 174 loss_callback = loss_callback or (lambda *fetches: None)
175 step_callback = step_callback or (lambda xk: None)
|
| /external/tensorflow/tensorflow/contrib/training/python/training/ |
| bucket_ops.py | 250 which_dequeue = lambda q: q.dequeue_up_to
252 which_dequeue = lambda q: q.dequeue_many
|
| sampling_ops.py | 57 accept_prob_fn: A python lambda that takes a non-batch tensor from each
87 accept_prob_fn = lambda x: (tf.tanh(x[0]) + 1) / 2
233 lambda: accept_probs,
234 lambda: logging_ops.Print( # pylint: disable=g-long-lambda
|
| /external/tensorflow/tensorflow/python/keras/layers/ |
| tensorflow_op_layer_test.py | 162 np_inputs = nest.map_structure(lambda x: np.ones((10, 10), 'float32'),
164 np_outputs = nest.map_structure(lambda x: np.ones((10, 10), 'float32'),
|
| /external/tensorflow/tensorflow/python/keras/ |
| optimizers_test.py | 80 kernel_constraint=lambda x: 0. * x + 1.,
81 bias_constraint=lambda x: 0. * x + 2.,
|
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| linalg_grad_test.py | 197 lambda x: linalg_ops.log_matrix_determinant(x)[1],
224 # pylint: disable=long-lambda,g-long-lambda
226 (lambda a, b, l=l2_regularization:
|
| scatter_nd_ops_test.py | 51 functools.reduce(lambda x, y: x * y, shape[:-ndims + 1], 1)
58 functools.reduce(lambda x, y: x * y, shape[ndims - 1:], 1)
80 return _NumpyScatterNd(ref, indices, updates, lambda p, u: u)
84 return _NumpyScatterNd(ref, indices, updates, lambda p, u: p + u)
88 return _NumpyScatterNd(ref, indices, updates, lambda p, u: p - u)
92 return _NumpyScatterNd(ref, indices, updates, lambda p, u: p * u)
96 return _NumpyScatterNd(ref, indices, updates, lambda p, u: p / u)
302 initial_value=lambda: array_ops.zeros(shape=[], dtype=dtypes.float32),
|
| /external/tensorflow/tensorflow/python/ops/ |
| gradient_checker_v2.py | 166 grad_fn = _prepare(lambda dy, *xs: grad_fn_unprep(*xs, dy=dy),
220 f = lambda *xs: math_ops.cast(f(*xs), dtypes.float32)
|
| /external/tensorflow/tensorflow/python/ops/ragged/ |
| ragged_getitem.py | 403 lambda: map_positive_offset(offset),
404 lambda: map_negative_offset(offset))
|
| /external/tensorflow/tensorflow/python/tpu/ |
| feature_column_test.py | 70 initializer=lambda: 'my_initializer')
193 initializer=lambda: 'my_initializer',
|
| /external/tensorflow/tensorflow/python/training/ |
| adam.py | 123 first_var = min(var_list, key=lambda x: x.name)
210 lambda x, i, v: state_ops.scatter_add( # pylint: disable=g-long-lambda
|
| input.py | 532 lambda: _store_sparse(t, shared_name=map_op_name),
533 lambda: constant_op.constant(-1, dtypes.int64))
538 lambda: _store_many_sparse(t, shared_name=map_op_name),
539 lambda: -1 * array_ops.ones(array_ops.shape(t)[0:1], dtypes.int64))
550 store_f = lambda t, name, _: _store_many_sparse(t, shared_name=name)
618 with_deps = lambda x: control_flow_ops.with_dependencies(t_values, x)
734 lambda: enqueue_fn(tl), # pylint:disable=cell-var-from-loop
751 lambda: enqueue_fn(tensor_list),
[all...] |
| /external/tensorflow/tensorflow/python/training/saving/ |
| saveable_object_util.py | 233 op_list = sorted(op_list, key=lambda x: x.name)
340 key=lambda x: x[0]):
|
| /external/toolchain-utils/automation/server/monitor/ |
| dashboard.py | 86 log._read_eof = lambda: None
147 for filename in sorted(filenames, key=lambda f: os.stat(f).st_ctime):
|
