return
			}
		default:
			bts, err = msgp.Skip(bts)
			if err != nil {
				err = msgp.WrapError(err)
				return
			}
		}
	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z RStat) Msgsize() (s int) {
	s = 1 + 6 + msgp.Int64Size + 6 + msgp.Int64Size
	return
}

// DecodeMsg implements msgp.Decodable

			}
		default:
			bts, err = msgp.Skip(bts)
			if err != nil {
				err = msgp.WrapError(err)
				return
			}
		}
	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z *TierConfigMgr) Msgsize() (s int) {
	s = 1 + 6 + msgp.MapHeaderSize
	if z.Tiers != nil {
		for za0001, za0002 := range z.Tiers {

func (r RetMode) Valid() bool {
	switch r {
	case RetGovernance, RetCompliance:
		return true
	}
	return false
}

func parseRetMode(modeStr string) (mode RetMode) {
	switch strings.ToUpper(modeStr) {
	case "GOVERNANCE":
		mode = RetGovernance
	case "COMPLIANCE":
		mode = RetCompliance
	}
	return mode
}

// LegalHoldStatus - object legal hold status.
type LegalHoldStatus string

At some point you would have started the definition of the function, you had the parameters ready...

But then you have to call "that method that converts the first letter to upper case".

Was it `upper`? Was it `uppercase`? `first_uppercase`? `capitalize`?

Then, you try with the old programmer's friend, editor autocompletion.

                    process_response = additional_response.copy()
                    process_response.pop("model", None)
                    status_code_key = str(additional_status_code).upper()
                    if status_code_key == "DEFAULT":
                        status_code_key = "default"
                    openapi_response = operation_responses.setdefault(
                        status_code_key, {}

	if ns.NoLowerCase {
		return name
	}

	var (
		value                          = commonInitialismsReplacer.Replace(name)
		buf                            strings.Builder
		lastCase, nextCase, nextNumber bool // upper case == true
		curCase                        = value[0] <= 'Z' && value[0] >= 'A'
	)

	for i, v := range value[:len(value)-1] {
		nextCase = value[i+1] <= 'Z' && value[i+1] >= 'A'

Pydantic을 기반으로 하는, 데이터베이스를 위한 <abbr title="Object-Relational Mapper">ORM</abbr>, <abbr title="Object-Document Mapper">ODM</abbr>을 포함한 외부 라이브러리를 포함합니다.

이는 모든 것이 자동으로 검증되기 때문에, 많은 경우에서 요청을 통해 얻은 동일한 객체를, **직접 데이터베이스로** 넘겨줄 수 있습니다.

반대로도 마찬가지이며, 많은 경우에서 여러분은 **직접 클라이언트로** 그저 객체를 넘겨줄 수 있습니다.

  TF_DeleteBuffer(buffer);
  TF_DeleteStatus(s);
  return ret;
}

bool GetNodeDef(TF_Operation* oper, tensorflow::NodeDef* node_def) {
  TF_Status* s = TF_NewStatus();
  TF_Buffer* buffer = TF_NewBuffer();
  TF_OperationToNodeDef(oper, buffer, s);
  bool ret = TF_GetCode(s) == TF_OK;
  EXPECT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);

	}
	for zb0001 := range *z {
		(*z)[zb0001], bts, err = msgp.ReadStringBytes(bts)
		if err != nil {
			err = msgp.WrapError(err, zb0001)
			return
		}
	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z BatchJobPrefix) Msgsize() (s int) {
	s = msgp.ArrayHeaderSize
	for zb0003 := range z {
		s += msgp.StringPrefixSize + len(z[zb0003])
	}

namespace tensorflow {
namespace parallel_device {
namespace {

class OpDeleter {
 public:
  void operator()(TFE_Op* to_delete) const { TFE_DeleteOp(to_delete); }
};

using OpPtr = std::unique_ptr<TFE_Op, OpDeleter>;

using MaybeParallelTensorOwned =
    absl::variant<std::unique_ptr<ParallelTensor>, TensorHandlePtr>;

using MaybeParallelTensorUnowned =