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<<919293949596979899100>>

  /external/python/cpython2/Modules/cjkcodecs/
multibytecodec.h 76 PyObject *errors;
  /external/python/cpython3/Lib/distutils/
text_file.py 59 errors [default: 'strict']
75 'errors': 'strict',
115 self.file = io.open(self.filename, 'r', errors=self.errors)
  /external/python/cpython3/Lib/test/
test_uu.py 29 errors="strict", newline="\n"):
32 errors=errors,
35 self._errors = errors
  /external/python/cpython3/Lib/unittest/
runner.py 109 self.printErrorList('ERROR', self.errors)
112 def printErrorList(self, flavour, errors):
113 for test, err in errors:
123 It prints out the names of tests as they are run, errors as they
204 failed, errored = len(result.failures), len(result.errors)
208 infos.append("errors=%d" % errored)
  /external/python/cpython3/Modules/cjkcodecs/
multibytecodec.h 71 PyObject *errors;
  /external/python/cpython3/Objects/clinic/
bytesobject.c.h 400 "decode($self, /, encoding=\'utf-8\', errors=\'strict\')\n"
407 " errors\n"
408 " The error handling scheme to use for the handling of decoding errors.\n"
409 " The default is \'strict\' meaning that decoding errors raise a\n"
419 const char *errors);
425 static const char * const _keywords[] = {"encoding", "errors", NULL};
428 const char *errors = NULL; local
431 &encoding, &errors)) {
434 return_value = bytes_decode_impl(self, encoding, errors);
  /external/skia/src/sksl/
SkSLCPPCodeGenerator.h 20 CPPCodeGenerator(const Context* context, const Program* program, ErrorReporter* errors,
  /external/skia/tests/
PathOpsCubicLineIntersectionIdeas.cpp 45 /* last output : errors=3121
142 int errors = 0; local
239 ++errors;
241 SkDebugf("errors=%d avgIter=%1.9g", errors, (double) iters / errors);
  /external/skqp/src/sksl/
SkSLCPPCodeGenerator.h 20 CPPCodeGenerator(const Context* context, const Program* program, ErrorReporter* errors,
  /external/skqp/tests/
PathOpsCubicLineIntersectionIdeas.cpp 45 /* last output : errors=3121
142 int errors = 0; local
239 ++errors;
241 SkDebugf("errors=%d avgIter=%1.9g", errors, (double) iters / errors);
  /external/syslinux/gpxe/src/net/
netdevice.c 97 least_common_error = &stats->errors[0];
98 for ( i = 0 ; i < ( sizeof ( stats->errors ) /
99 sizeof ( stats->errors[0] ) ) ; i++ ) {
100 error = &stats->errors[i];
  /external/tensorflow/tensorflow/compiler/tf2xla/
xla_helpers.cc 155 return errors::InvalidArgument("ReshapeLiteral does not support tuples.");
162 return errors::InvalidArgument(
217 return errors::InvalidArgument("Invalid argument type ",
255 return errors::InvalidArgument("Invalid argument type ",
  /external/tensorflow/tensorflow/contrib/eager/python/examples/linear_regression/
linear_regression_graph_test.py 65 except tf.errors.OutOfRangeError:
  /external/tensorflow/tensorflow/contrib/fused_conv/ops/
fused_conv2d_bias_activation_op.cc 81 return errors::InvalidArgument(
  /external/tensorflow/tensorflow/contrib/learn/python/learn/learn_io/
pandas_io_test.py 24 from tensorflow.python.framework import errors
101 with self.assertRaises(errors.OutOfRangeError):
140 with self.assertRaises(errors.OutOfRangeError):
177 with self.assertRaises(errors.OutOfRangeError):
  /external/tensorflow/tensorflow/contrib/verbs/
rdma_rendezvous_mgr.cc 24 #include "tensorflow/core/lib/core/errors.h"
57 s = errors::Internal("Could not parse src or dst name.");
  /external/tensorflow/tensorflow/core/distributed_runtime/rpc/
grpc_testlib.cc 63 return errors::Internal("Could not start subprocess");
  /external/tensorflow/tensorflow/core/framework/
load_library.cc 21 #include "tensorflow/core/lib/core/errors.h"
65 if (errors::IsAlreadyExists(s)) {
numeric_op.h 23 #include "tensorflow/core/lib/core/errors.h"
104 context->SetStatus(errors::InvalidArgument(
  /external/tensorflow/tensorflow/core/grappler/utils/
frame.cc 23 #include "tensorflow/core/lib/core/errors.h"
78 return errors::InvalidArgument(
  /external/tensorflow/tensorflow/core/kernels/
bucketize_op.cc 59 errors::InvalidArgument("Expected sorted boundaries"));
cudnn_pooling_gpu.cc 98 OP_REQUIRES(context, stream, errors::Internal("No GPU stream available."));
105 errors::Internal("cudnn PoolForward launch failed"));
226 OP_REQUIRES(context, stream, errors::Internal("No GPU stream available."));
235 errors::Internal("cudnn PoolBackward launch failed"));
  /external/tensorflow/tensorflow/core/kernels/data/
scan_dataset_op.cc 184 return errors::InvalidArgument(
194 return errors::InvalidArgument(
202 return errors::InvalidArgument(
210 } else if (errors::IsOutOfRange(s)) {
211 // `f` may deliberately raise `errors::OutOfRange` to indicate
sparse_tensor_slice_dataset_op.cc 226 errors::InvalidArgument(
230 errors::InvalidArgument(
234 errors::InvalidArgument(
249 errors::Unimplemented("The SparseTensor must be ordered in the batch "
stats_aggregator_ops.cc 87 errors::InvalidArgument("resource_handle must be a scalar"));

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<<919293949596979899100>>