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gen doc and sample support status
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‎support_status.md

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## `tf2onnx` Support Status
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### Domain: "" (default domain)
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| Tensorflow Op | Convertible to ONNX Op Versions |
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| ------------- | ------------------------------- |
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| Const | ['1'] |
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| ConstV2 | ['1'] |
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| RandomNormal | ['1'] |
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| RandomUniform | ['1'] |
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| RandomNormalLike | ['1'] |
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| RandomUniformLike | ['1'] |
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| ZerosLike | ['1'] |
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| LogicalNot | ['1'] |
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| LogicalOr | ['1', '6'] |
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| LogicalAnd | ['1', '6'] |
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| Equal | ['1', '7'] |
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| NotEqual | ['1', '7'] |
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| Greater | ['1', '7'] |
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| Less | ['1', '7'] |
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| Add | ['1', '6'] |
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| Div | ['1', '6'] |
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| Mul | ['1', '6'] |
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| Sub | ['1', '6'] |
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| RealDiv | ['1', '6'] |
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| TruncateDiv | ['1', '6'] |
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| LeakyRelu | ['1'] |
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| LogSoftmax | ['1'] |
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| Softplus | ['1'] |
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| Softsign | ['1'] |
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| Abs | ['1', '6'] |
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| Ceil | ['1', '6'] |
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| Elu | ['1', '6'] |
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| Exp | ['1', '6'] |
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| Floor | ['1', '6'] |
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| Log | ['1', '6'] |
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| Neg | ['1', '6'] |
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| Relu | ['1', '6'] |
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| Sigmoid | ['1', '6'] |
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| Sqrt | ['1', '6'] |
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| Tanh | ['1', '6'] |
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| Reciprocal | ['1', '6'] |
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| Maximum | ['1'] |
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| Minimum | ['1'] |
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| Softmax | ['1'] |
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| Square | ['1'] |
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| Relu6 | ['1'] |
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| Rsqrt | ['1'] |
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| SquaredDifference | ['1'] |
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| Sign | ['1', '9'] |
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| Pow | ['1', '7'] |
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| LRN | ['1'] |
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| MatMul | ['1'] |
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| BatchMatMul | ['1'] |
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| Erf | ['1', '9'] |
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| Selu | ['1'] |
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| CheckNumerics | ['1'] |
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| StopGradient | ['1'] |
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| Placeholder | ['1'] |
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| PlaceholderV2 | ['1'] |
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| PlaceholderWithDefault | ['1'] |
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| NoOp | ['1'] |
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| Size | ['1'] |
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| Flatten | ['1', '9'] |
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| Dropout | ['1', '6', '7', '10'] |
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| Identity | ['1'] |
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| Reshape | ['1', '5'] |
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| Squeeze | ['1'] |
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| Transpose | ['1'] |
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| Concat | ['1'] |
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| ConcatV2 | ['1'] |
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| Slice | ['1', '10'] |
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| Gather | ['1'] |
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| GatherV2 | ['1'] |
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| GatherNd | ['1'] |
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| Split | ['1', '2'] |
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| SplitV | ['1', '2'] |
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| ExpandDims | ['1', '7'] |
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| StridedSlice | ['1', '10'] |
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| Cast | ['1', '6', '9'] |
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| TopKV2 | ['1', '10'] |
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| Tile | ['1'] |
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| Pack | ['1'] |
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| Unpack | ['1'] |
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| OneHot | ['1', '9'] |
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| Shape | ['1'] |
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| BatchToSpaceND | ['1'] |
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| SpaceToBatchND | ['1'] |
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| Conv1D | ['1'] |
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| Conv2D | ['1'] |
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| Conv3D | ['1'] |
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| Conv2DBackpropInput | ['1'] |
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| DepthwiseConv2d | ['1'] |
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| DepthwiseConv2dNative | ['1'] |
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| MaxPool | ['1', '10'] |
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| MaxPoolV2 | ['1', '10'] |
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| AvgPool | ['1', '10'] |
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| AvgPool3D | ['1', '10'] |
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| BiasAdd | ['1', '7'] |
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| BiasAddV1 | ['1', '7'] |
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| Pad | ['1'] |
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| PadV2 | ['1'] |
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| MirrorPad | ['1'] |
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| SpaceToDepth | ['1'] |
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| DepthToSpace | ['1'] |
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| Prod | ['1'] |
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| Sum | ['1'] |
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| Mean | ['1'] |
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| Max | ['1'] |
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| Min | ['1'] |
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| ArgMax | ['1'] |
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| ArgMin | ['1'] |
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| LSTMBlockCell | ['1', '7'] |
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| FloorDiv | ['6'] |
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| FusedBatchNorm | ['6', '9'] |
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| FusedBatchNormV2 | ['6', '9'] |
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| All | ['6'] |
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| Any | ['6'] |
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| AddN | ['6'] |
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| If | ['7'] |
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| Loop | ['7'] |
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| Scan | ['7'] |
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| Range | ['7'] |
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| Fill | ['7', '9'] |
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| Multinomial | ['7'] |
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| LessEqual | ['7'] |
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| GreaterEqual | ['7'] |
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| Acos | ['7'] |
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| Asin | ['7'] |
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| Atan | ['7'] |
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| Cos | ['7'] |
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| Sin | ['7'] |
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| Tan | ['7'] |
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| FloorMod | ['7'] |
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| ResizeBilinear | ['7', '9', '10'] |
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| ResizeNearestNeighbor | ['7', '9', '10'] |
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| MatrixBandPart | ['7'] |
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| SoftmaxCrossEntropyWithLogits | ['7'] |
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| SparseSoftmaxCrossEntropyWithLogits | ['7', '9'] |
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| Select | ['8', '9'] |
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| ReverseSequence | ['8', '9', '10'] |
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| MaxPoolWithArgmax | ['8'] |
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| Where | ['9'] |
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| Acosh | ['9'] |
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| Asinh | ['9'] |
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| Atanh | ['9'] |
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| Cosh | ['9'] |
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| Sinh | ['9'] |
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| IsNan | ['9'] |
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| IsInf | ['10'] |
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| NonMaxSuppressionV2 | ['10'] |
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| NonMaxSuppressionV3 | ['10'] |
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### Domain: "com.microsoft"
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| Tensorflow Op | Convertible to ONNX Op Versions |
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| ------------- | ------------------------------- |
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| Range | ['1'] |

‎tools/gen_doc.py

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import argparse
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from tf2onnx.handler import tf_op
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from collections import OrderedDict
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parser = argparse.ArgumentParser()
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parser.add_argument('filename',
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type=str,
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help="Path to the documentation file.")
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args = parser.parse_args()
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with open(args.filename, 'w+') as doc_file:
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doc_file.write("## `tf2onnx` Support Status\n")
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for domain, opsets in tf_op.get_opsets().items():
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comment = "(default domain)" if domain == "" else ""
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doc_file.write("### Domain: \"{}\" {}\n".format(domain, comment))
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doc_file.write("| Tensorflow Op | Convertible to ONNX Op Versions |\n")
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doc_file.write("| ------------- | ------------------------------- |\n")
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# Collect a mapping from tf ops to supported handler versions.
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tf_op_to_versions = OrderedDict()
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for opset in opsets:
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for name, func in opset.items():
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handler_ver = func[0].__name__.replace("version_", "")
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if name in tf_op_to_versions:
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tf_op_to_versions[name].append(handler_ver)
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else:
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tf_op_to_versions[name] = [handler_ver]
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# Document support status according to the gathered mapping.
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for tf_op, supported_versions in tf_op_to_versions.items():
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doc_file.write("| {} | {} |\n".format(tf_op, supported_versions))
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doc_file.close()
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