import os
import re
from typing import Mapping, Optional, Sequence

from absl.testing import parameterized
import numpy as np

from google.protobuf import text_format
from tensorflow.compiler.mlir.quantization.common.python import testing
from tensorflow.compiler.mlir.quantization.stablehlo import quantization_config_pb2 as qc

    list.ParseFromArray(buf->data, buf->length);                             \
    KernelList expected_proto;                                               \
    protobuf::TextFormat::ParseFromString(ExpectedString(#dtype),            \
                                          &expected_proto);                  \
    ASSERT_EQ(expected_proto.DebugString(), list.DebugString());             \

      "      op: '__OP_NAME__'"
      "    }"
      "    ret {"
      "      key: 'out'"
      "      value: 'error_op:out'"
      "    }";
  tensorflow::FunctionDef def;
  CHECK(tensorflow::protobuf::TextFormat::ParseFromString(
      tensorflow::str_util::StringReplace(func_str, "__OP_NAME__", op_name,
                                          /*replace_all=*/true),
      &def));
  return def.SerializeAsString();
}

	}
	cfg, _ := conversion.MessageToStruct(fc.AccessLog[0].GetTypedConfig())
	textFormat := cfg.GetFields()["log_format"].GetStructValue().GetFields()["text_format_source"].GetStructValue().
		GetFields()["inline_string"].GetStringValue()
	if format != "" && textFormat != format {
		t.Fatalf("expected format to be %s, but got %s", format, textFormat)
	}
}

func TestHttpProxyListener(t *testing.T) {

}

void VLogGraphIfAsked(const Graph& graph) {
  if (VLOG_IS_ON(3)) {
    GraphDef graph_def;
    graph.ToGraphDef(&graph_def);
    string serialized;
    ::tensorflow::protobuf::TextFormat::PrintToString(graph_def, &serialized);
    LOG(INFO) << serialized;
  }
}

struct InductionVarInfo {
  Output induction_var;
  Output loop_cond;
};