/system/media/camera/docs/ |
metadata_model.py | 40 from collections import OrderedDict 158 d = OrderedDict() 869 new_ins_dict = OrderedDict() 870 new_ent_dict = OrderedDict() [all...] |
metadata_helpers.py | 30 from collections import OrderedDict 97 d = OrderedDict() [all...] |
/external/lisa/libs/utils/ |
energy_model.py | 18 from collections import namedtuple, OrderedDict [all...] |
/external/python/cpython3/Lib/ |
enum.py | 8 from _collections import OrderedDict 10 from collections import OrderedDict 155 enum_class._member_map_ = OrderedDict() # name->value map 617 # We use an OrderedDict of sorted source keys so that the [all...] |
inspect.py | 51 from collections import namedtuple, OrderedDict [all...] |
/external/tensorflow/tensorflow/python/ops/ |
parsing_ops.py | 210 # OrderedDict which preserves the order can solve the problem. 211 dense_defaults = collections.OrderedDict() 638 dense_defaults = collections.OrderedDict( [all...] |
/external/tensorflow/tensorflow/contrib/boosted_trees/python/training/functions/ |
gbdt_batch.py | 167 transformed_features = collections.OrderedDict() 685 handler_reads = collections.OrderedDict() 691 per_handler_updates = collections.OrderedDict() [all...] |
/external/chromium-trace/catapult/common/py_utils/py_utils/ |
cloud_storage.py | 38 BUCKET_ALIASES = collections.OrderedDict((
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/external/devlib/devlib/instrument/ |
__init__.py | 272 self.channels = collections.OrderedDict()
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/external/python/cpython3/Tools/clinic/ |
clinic.py | [all...] |
/external/autotest/client/bin/input/ |
input_device.py | 24 from collections import OrderedDict 588 slot_dict = OrderedDict()
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/external/deqp/external/openglcts/scripts/ |
build_mustpass.py | 25 from collections import OrderedDict [all...] |
/external/python/cpython3/Lib/test/ |
test_collections.py | 18 from collections import namedtuple, Counter, OrderedDict, _count_elements 353 self.assertNotIn(b'OrderedDict', dumps(p, protocol)) 438 self.assertEqual(a._asdict(), OrderedDict([('x', 3), ('y', 4)])) 736 samples = [bytes(), str(), tuple(), list(), OrderedDict(), 737 OrderedDict().keys(), OrderedDict().items(), 738 OrderedDict().values()] [all...] |
test_sys.py | [all...] |
/external/v8/tools/ |
run-tests.py | 31 from collections import OrderedDict 705 args_suites = OrderedDict() # Used as set [all...] |
run_perf.py | 97 from collections import OrderedDict 318 traces = OrderedDict() [all...] |
/device/linaro/bootloader/edk2/AppPkg/Applications/Python/Python-2.7.2/Lib/ |
ConfigParser.py | 91 from collections import OrderedDict as _default_dict
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/external/autotest/server/cros/network/ |
hostap_config.py | 216 return collections.OrderedDict([
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/external/autotest/site_utils/ |
run_suite_unittest.py | 26 collections.OrderedDict())
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/external/deqp/scripts/khr_util/ |
registry.py | 25 from collections import OrderedDict
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/external/tensorflow/tensorflow/python/eager/ |
backprop.py | 50 self._data = collections.OrderedDict()
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/external/tensorflow/tensorflow/python/estimator/inputs/queues/ |
feeding_functions.py | 196 """Creates feed dictionaries from `OrderedDict`s of numpy arrays.""" 354 Returns a queue filled with the rows of the given (`OrderedDict` of) array 356 `Tensor` corresponds to the index of the `DataFrame`. For (`OrderedDict` of) 360 data: a numpy `ndarray`, `OrderedDict` of numpy arrays, or a generator 376 A queue filled with the rows of the given (`OrderedDict` of) array or 380 TypeError: `data` is not a Pandas `DataFrame`, an `OrderedDict` of numpy 390 elif isinstance(data, collections.OrderedDict):
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/system/extras/simpleperf/scripts/ |
debug_unwind_reporter.py | 412 unwinding_result = collections.OrderedDict()
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/external/autotest/server/cros/dynamic_suite/ |
suite_unittest.py | 11 from collections import OrderedDict 71 self.files = OrderedDict( [all...] |
/external/tensorflow/tensorflow/python/keras/_impl/keras/ |
callbacks.py | 24 from collections import OrderedDict [all...] |