"keywords": ["sample"]
        },
        "finnish_stop": {
          "type":       "stop",

}

type JoinBuilder interface {
	Select(...string) JoinBuilder
	Omit(...string) JoinBuilder
	Where(query interface{}, args ...interface{}) JoinBuilder
	Not(query interface{}, args ...interface{}) JoinBuilder
	Or(query interface{}, args ...interface{}) JoinBuilder
}

type PreloadBuilder interface {
	Select(...string) PreloadBuilder
	Omit(...string) PreloadBuilder
	Where(query interface{}, args ...interface{}) PreloadBuilder

  static final String LOREM_IPSUM =
      "Lorem ipsum dolor sit amet, consectetur adipiscing "
          + "elit. Cras fringilla elit ac ipsum adipiscing vulputate. Maecenas in lorem nulla, ac "
          + "sollicitudin quam. Praesent neque elit, sodales quis vestibulum vel, pellentesque nec "
          + "erat. Proin cursus commodo lacus eget congue. Aliquam erat volutpat. Fusce ut leo sed "

	DB.Save(&user)

	results := make([]*User, 0)

	if err := DB.Table("users").Omit("name").Where("users.name = ?", "joins_with_omit").Joins("left join pets on pets.user_id = users.id").Find(&results).Error; err != nil {
		return
	}

	if len(results) != 2 || results[0].Name != "" || results[1].Name != "" {
		t.Errorf("Should find all two pets with Join omit and should not find user's name, got %+v", results)
		return
	}
}

			columnName := matches[3]
			if star != "" {
				return table, star
			}
			return table, columnName
		}
		return "", ""
	}
}()

// SelectAndOmitColumns get select and omit columns, select -> true, omit -> false
func (stmt *Statement) SelectAndOmitColumns(requireCreate, requireUpdate bool) (map[string]bool, bool) {
	results := map[string]bool{}
	notRestricted := false

# Requirements for NumPy 1.x
numpy ~= 1.26.0
wheel ~= 0.41.2
h5py >= 3.11.0
lit ~= 17.0.2
opt_einsum == 3.3.0
astunparse == 1.6.3
dill == 0.3.7
astor == 0.7.1
typing_extensions ~= 4.14.1
gast == 0.4.0
termcolor == 2.3.0
wrapt == 1.16.0
tblib == 2.0.0
ml_dtypes >= 0.5.1, < 0.6.0
auditwheel >= 6.1.0
# Install tensorboard, and keras
# Note that here we want the latest version that matches TF major.minor version

# Note that numpy 2.1.0 does not support python 3.9
numpy >= 2.0.0, < 2.2.0
wheel ~= 0.41.2
h5py >= 3.11.0
lit ~= 17.0.2
opt_einsum == 3.3.0
astunparse == 1.6.3
dill == 0.3.7
astor == 0.7.1
typing_extensions ~= 4.14.1
gast == 0.4.0
termcolor == 2.3.0
wrapt == 1.16.0
tblib == 2.0.0
ml_dtypes >= 0.5.1, < 0.6.0
auditwheel >= 6.1.0
# Install tensorboard, and keras

		"Toys":      user2.Toys,
		"Company":   user2.Company,
		"Manager":   user2.Manager,
		"Team":      user2.Team,
		"Languages": user2.Languages,
		"Friends":   user2.Friends,
	}

	DB.Model(&result).Omit("name", "updated_at").Updates(updateValues)

	var result2 User

* `tax: float = 10.5` has a default of `10.5`.
* `tags: List[str] = []` has a default of an empty list: `[]`.

but you might want to omit them from the result if they were not actually stored.

For example, if you have models with many optional attributes in a NoSQL database, but you don't want to send very long JSON responses full of default values.

* `allowed_hosts` - A list of domain names that should be allowed as hostnames. Wildcard domains such as `*.example.com` are supported for matching subdomains. To allow any hostname either use `allowed_hosts=["*"]` or omit the middleware.
* `www_redirect` - If set to True, requests to non-www versions of the allowed hosts will be redirected to their www counterparts. Defaults to `True`.