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<<919293949596979899100>>
| /external/python/cpython2/Modules/cjkcodecs/ |
| multibytecodec.h | 76 PyObject *errors;
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| /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)
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| /external/python/cpython3/Lib/test/ |
| test_uu.py | 29 errors="strict", newline="\n"): 32 errors=errors, 35 self._errors = errors
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| /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)
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| /external/python/cpython3/Modules/cjkcodecs/ |
| multibytecodec.h | 71 PyObject *errors;
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| /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);
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| /external/skia/src/sksl/ |
| SkSLCPPCodeGenerator.h | 20 CPPCodeGenerator(const Context* context, const Program* program, ErrorReporter* errors,
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| /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);
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| /external/skqp/src/sksl/ |
| SkSLCPPCodeGenerator.h | 20 CPPCodeGenerator(const Context* context, const Program* program, ErrorReporter* errors,
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| /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);
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| /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];
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| /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 ",
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| /external/tensorflow/tensorflow/contrib/eager/python/examples/linear_regression/ |
| linear_regression_graph_test.py | 65 except tf.errors.OutOfRangeError:
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| /external/tensorflow/tensorflow/contrib/fused_conv/ops/ |
| fused_conv2d_bias_activation_op.cc | 81 return errors::InvalidArgument(
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| /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):
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| /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.");
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| /external/tensorflow/tensorflow/core/distributed_runtime/rpc/ |
| grpc_testlib.cc | 63 return errors::Internal("Could not start subprocess");
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| /external/tensorflow/tensorflow/core/framework/ |
| load_library.cc | 21 #include "tensorflow/core/lib/core/errors.h" 65 if (errors::IsAlreadyExists(s)) {
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| numeric_op.h | 23 #include "tensorflow/core/lib/core/errors.h" 104 context->SetStatus(errors::InvalidArgument(
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| /external/tensorflow/tensorflow/core/grappler/utils/ |
| frame.cc | 23 #include "tensorflow/core/lib/core/errors.h" 78 return errors::InvalidArgument(
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| /external/tensorflow/tensorflow/core/kernels/ |
| bucketize_op.cc | 59 errors::InvalidArgument("Expected sorted boundaries"));
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| 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"));
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| /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
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| 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 "
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| stats_aggregator_ops.cc | 87 errors::InvalidArgument("resource_handle must be a scalar"));
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<<919293949596979899100>>