"maxItems": 2,
                                    "minItems": 2,
                                    "type": "array",
                                    "prefixItems": [
                                        {"$ref": "#/components/schemas/Coordinate"},
                                        {"$ref": "#/components/schemas/Coordinate"},
                                    ],

    else_: Optional["SchemaOrBool"] = Field(default=None, alias="else")
    dependentSchemas: Optional[dict[str, "SchemaOrBool"]] = None
    prefixItems: Optional[list["SchemaOrBool"]] = None
    # TODO: uncomment and remove below when deprecating Pydantic v1
    # It generates a list of schemas for tuples, before prefixItems was available
    # items: Optional["SchemaOrBool"] = None
    items: Optional[Union["SchemaOrBool", list["SchemaOrBool"]]] = None

func TestBatchJobPrefix_UnmarshalYAML(t *testing.T) {
	type args struct {
		yamlStr string
	}
	type PrefixTemp struct {
		Prefix BatchJobPrefix `yaml:"prefix"`
	}
	tests := []struct {
		name    string
		b       PrefixTemp
		args    args
		want    []string
		wantErr bool
	}{
		{
			name: "test1",
			b:    PrefixTemp{},
			args: args{
				yamlStr: `
prefix: "foo"
`,
			},
			want:    []string{"foo"},

	data.IsTruncated = resp.IsTruncated

	prefixes := make([]CommonPrefix, 0, len(resp.Prefixes))
	for _, prefix := range resp.Prefixes {
		prefixItem := CommonPrefix{}
		prefixItem.Prefix = s3EncodeName(prefix, encodingType)
		prefixes = append(prefixes, prefixItem)
	}
	data.CommonPrefixes = prefixes
	return data
}

// generates an ListObjectsV1 response for the said bucket with other enumerated options.