t.Fatalf("Found deleted column")
	}
}

func TestMigrateColumns(t *testing.T) {
	tidbSkip(t, "use another test case")

	sqlite := DB.Dialector.Name() == "sqlite"
	sqlserver := DB.Dialector.Name() == "sqlserver"

	type ColumnStruct struct {
		gorm.Model
		Name  string
		Age   int    `gorm:"default:18;comment:my age"`

							t.Errorf("invalid data type for %v, got %v %#v", dbName, resultType, first[dbName])
						}
					case "Birthday":
						if !strings.Contains(resultType, "Time") && !(DB.Dialector.Name() == "sqlite" && strings.Contains(resultType, "string")) {
							t.Errorf("invalid data type for %v, got %v %#v", dbName, resultType, first[dbName])
						}
					}

					reflectValue := reflect.Indirect(reflect.ValueOf(users[0]))

   *                    v
   */
  // Define
  TF_Operation* feed = Placeholder(func_graph_, s_);
  TF_Operation* split = Split3(feed, func_graph_, s_);
  TF_Operation* add = Add({split, 0}, {split, 2}, func_graph_, s_);
  ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);
  DefineT(1, {add}, {{split, 0}, {split, 2}}, {{add, 0}}, {});

  // Use, run, and verify
  TF_Operation* two = ScalarConst(2, host_graph_, s_, "two");

	encodedResource := req.URL.RawPath
	encodedQuery := req.URL.RawQuery
	if encodedResource == "" {
		splits := strings.SplitN(req.URL.Path, "?", 2)
		encodedResource = splits[0]
		if len(splits) == 2 {
			encodedQuery = splits[1]
		}
	}

	unescapedQueries, err := unescapeQueries(encodedQuery)
	if err != nil {
		return err
	}

G(){}function Y(e,t){var n,r,i,o,a,s,u,l=c[e+" "];if(l)return t?0:l.slice(0);a=e,s=[],u=b.preFilter;while(a){for(o in n&&!(r=y.exec(a))||(r&&(a=a.slice(r[0].length)||a),s.push(i=[])),n=!1,(r=m.exec(a))&&(n=r.shift(),i.push({value:n,type:r[0].replace(ve," ")}),a=a.slice(n.length)),b.filter)!(r=D[o].exec(a))||u[o]&&!(r=u[o](r))||(n=r.shift(),i.push({value:n,type:o,matches:r}),a=a.slice(n.length));if(!n)break}return t?a.length:a?I.error(e):c(e,s).slice(0)}function Q(e){for(var t=0,n=e.length,r="";t<n;t++)r+=e[t].value;return...

ion(a,b){var c,e,f,g,h,i,j,k=z[a+" "];if(k)return b?0:k.slice(0);h=a,i=[],j=d.preFilter;while(h){(!c||(e=S.exec(h)))&&(e&&(h=h.slice(e[0].length)||h),i.push(f=[])),c=!1,(e=T.exec(h))&&(c=e.shift(),f.push({value:c,type:e[0].replace(R," ")}),h=h.slice(c.length));for(g in d.filter)!(e=X[g].exec(h))||j[g]&&!(e=j[g](e))||(c=e.shift(),f.push({value:c,type:g,matches:e}),h=h.slice(c.length));if(!c)break}return b?h.length:h?fb.error(a):z(a,i).slice(0)};function qb(a){for(var b=0,c=a.length,d="";c>b;b++)d+=a[b].value;return...

G(){}function Y(e,t){var n,r,i,o,a,s,u,l=c[e+" "];if(l)return t?0:l.slice(0);a=e,s=[],u=b.preFilter;while(a){for(o in n&&!(r=y.exec(a))||(r&&(a=a.slice(r[0].length)||a),s.push(i=[])),n=!1,(r=m.exec(a))&&(n=r.shift(),i.push({value:n,type:r[0].replace(ve," ")}),a=a.slice(n.length)),b.filter)!(r=D[o].exec(a))||u[o]&&!(r=u[o](r))||(n=r.shift(),i.push({value:n,type:o,matches:r}),a=a.slice(n.length));if(!n)break}return t?a.length:a?I.error(e):c(e,s).slice(0)}function Q(e){for(var t=0,n=e.length,r="";t<n;t++)r+=e[t].value;return...

# END TF CACHE HELPER OPTIONS
# BEGIN TF TEST SUITE OPTIONS
# These are convenience config options that effectively declare TF's CI test suites. Look
# at the scripts of ci/official/ to see how TF's CI uses them.

# PYTHON TESTS run a suite of Python tests intended for verifying that the Python wheel
# will work properly. These are usually run Nightly or upon Release.

		}

		s := Join(a, []byte(tt.sep))
		if string(s) != tt.s {
			t.Errorf(`Join(Split(%q, %q, %d), %q) = %q`, tt.s, tt.sep, tt.n, tt.sep, s)
		}
		if tt.n < 0 {
			b := sliceOfString(Split([]byte(tt.s), []byte(tt.sep)))
			if !slices.Equal(result, b) {
				t.Errorf("Split disagrees withSplitN(%q, %q, %d) = %v; want %v", tt.s, tt.sep, tt.n, b, a)
			}
		}
		if len(a) > 0 {

        "//tensorflow/lite/c:common",
        "//tensorflow/lite/core/api",
        "//tensorflow/lite/delegates/flex:delegate",
        "//tensorflow/lite/kernels/internal:compatibility",
        "//tensorflow/lite/kernels:builtin_ops",
        "//tensorflow/lite/kernels:reference_ops",
        "//tensorflow/compiler/mlir/lite/schema:schema_fbs",
        "//tensorflow/lite/toco/logging:conversion_log_util",