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Python types.Float方法代码示例

本文整理汇总了Python中sqlalchemy.types.Float方法的典型用法代码示例。如果您正苦于以下问题:Python types.Float方法的具体用法?Python types.Float怎么用?Python types.Float使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在sqlalchemy.types的用法示例。


在下文中一共展示了types.Float方法的15个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: get_type

# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import Float [as 别名]
def get_type(data_type):
    type_map = {
        "bytes": types.LargeBinary,
        "boolean": types.Boolean,
        "date": types.Date,
        "datetime": types.DateTime,
        "double": types.Numeric,
        "text": types.String,
        "keyword": types.String,
        "integer": types.Integer,
        "half_float": types.Float,
        "geo_point": types.String,
        # TODO get a solution for nested type
        "nested": types.String,
        # TODO get a solution for object
        "object": types.BLOB,
        "long": types.BigInteger,
        "float": types.Float,
        "ip": types.String,
    }
    type_ = type_map.get(data_type)
    if not type_:
        logger.warning(f"Unknown type found {data_type} reverting to string")
        type_ = types.String
    return type_ 
开发者ID:preset-io,项目名称:elasticsearch-dbapi,代码行数:27,代码来源:basesqlalchemy.py

示例2: fields_map

# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import Float [as 别名]
def fields_map(self, field_type):
        if field_type == "primary":
            return ID(stored=True, unique=True)
        type_map = {
            'date': types.Date,
            'datetime': types.DateTime,
            'boolean': types.Boolean,
            'integer': types.Integer,
            'float': types.Float
        }
        if isinstance(field_type, str):
            field_type = type_map.get(field_type, types.Text)

        if not isinstance(field_type, type):
            field_type = field_type.__class__

        if issubclass(field_type, (types.DateTime, types.Date)):
            return DATETIME(stored=True, sortable=True)
        elif issubclass(field_type, types.Integer):
            return NUMERIC(stored=True, numtype=int)
        elif issubclass(field_type, types.Float):
            return NUMERIC(stored=True, numtype=float)
        elif issubclass(field_type, types.Boolean):
            return BOOLEAN(stored=True)
        return TEXT(stored=True, analyzer=self.analyzer, sortable=False) 
开发者ID:honmaple,项目名称:flask-msearch,代码行数:27,代码来源:whoosh_backend.py

示例3: __init__

# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import Float [as 别名]
def __init__(self,col_A,col_B):
        self.col_A = col_A
        self.col_B = col_B

        self.type_A = col_A.type
        self.type_B = col_B.type

        self.affinity_A = self.type_A._type_affinity
        self.affinity_B = self.type_B._type_affinity

        if self.affinity_A is not self.affinity_B:
            self.diff = True
            return

        if isinstance(self.type_A,Float) or isinstance(self.type_B,Float):
            if not (isinstance(self.type_A,Float) and isinstance(self.type_B,Float)):
                self.diff=True
                return

        for attr in ('precision','scale','length'):
            A = getattr(self.type_A,attr,None)
            B = getattr(self.type_B,attr,None)
            if not (A is None or B is None) and A!=B:
                self.diff=True
                return 
开发者ID:gltn,项目名称:stdm,代码行数:27,代码来源:schemadiff.py

示例4: test_python_type

# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import Float [as 别名]
def test_python_type(self):
        eq_(types.Integer().python_type, int)
        eq_(types.Numeric().python_type, decimal.Decimal)
        eq_(types.Numeric(asdecimal=False).python_type, float)
        eq_(types.LargeBinary().python_type, util.binary_type)
        eq_(types.Float().python_type, float)
        eq_(types.Interval().python_type, datetime.timedelta)
        eq_(types.Date().python_type, datetime.date)
        eq_(types.DateTime().python_type, datetime.datetime)
        eq_(types.String().python_type, str)
        eq_(types.Unicode().python_type, util.text_type)
        eq_(types.Enum("one", "two", "three").python_type, str)

        assert_raises(
            NotImplementedError, lambda: types.TypeEngine().python_type
        ) 
开发者ID:sqlalchemy,项目名称:sqlalchemy,代码行数:18,代码来源:test_types.py

示例5: test_user_defined_typedec_impl

# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import Float [as 别名]
def test_user_defined_typedec_impl(self):
        class MyType(types.TypeDecorator):
            impl = Float

            def load_dialect_impl(self, dialect):
                if dialect.name == "sqlite":
                    return String(50)
                else:
                    return super(MyType, self).load_dialect_impl(dialect)

        sl = dialects.sqlite.dialect()
        pg = dialects.postgresql.dialect()
        t = MyType()
        self.assert_compile(t, "VARCHAR(50)", dialect=sl)
        self.assert_compile(t, "FLOAT", dialect=pg)
        eq_(
            t.dialect_impl(dialect=sl).impl.__class__,
            String().dialect_impl(dialect=sl).__class__,
        )
        eq_(
            t.dialect_impl(dialect=pg).impl.__class__,
            Float().dialect_impl(pg).__class__,
        ) 
开发者ID:sqlalchemy,项目名称:sqlalchemy,代码行数:25,代码来源:test_types.py

示例6: get_columns

# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import Float [as 别名]
def get_columns(self, connection, table_name, schema=None, **kw):
        # Extend types supported by PrestoDialect as defined in PyHive
        type_map = {
            'bigint': sql_types.BigInteger,
            'integer': sql_types.Integer,
            'boolean': sql_types.Boolean,
            'double': sql_types.Float,
            'varchar': sql_types.String,
            'timestamp': sql_types.TIMESTAMP,
            'date': sql_types.DATE,
            'array<bigint>': sql_types.ARRAY(sql_types.Integer),
            'array<varchar>': sql_types.ARRAY(sql_types.String)
        }

        rows = self._get_table_columns(connection, table_name, schema)
        result = []
        for row in rows:
            try:
                coltype = type_map[row.Type]
            except KeyError:
                logger.warn("Did not recognize type '%s' of column '%s'" % (row.Type, row.Column))
                coltype = sql_types.NullType
            result.append({
                'name': row.Column,
                'type': coltype,
                # newer Presto no longer includes this column
                'nullable': getattr(row, 'Null', True),
                'default': None,
            })
        return result 
开发者ID:airbnb,项目名称:omniduct,代码行数:32,代码来源:_schemas.py

示例7: test_reflect_select

# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import Float [as 别名]
def test_reflect_select(table, table_using_test_dataset):
    for table in [table, table_using_test_dataset]:
        assert len(table.c) == 18

        assert isinstance(table.c.integer, Column)
        assert isinstance(table.c.integer.type, types.Integer)
        assert isinstance(table.c.timestamp.type, types.TIMESTAMP)
        assert isinstance(table.c.string.type, types.String)
        assert isinstance(table.c.float.type, types.Float)
        assert isinstance(table.c.boolean.type, types.Boolean)
        assert isinstance(table.c.date.type, types.DATE)
        assert isinstance(table.c.datetime.type, types.DATETIME)
        assert isinstance(table.c.time.type, types.TIME)
        assert isinstance(table.c.bytes.type, types.BINARY)
        assert isinstance(table.c['record.age'].type, types.Integer)
        assert isinstance(table.c['record.name'].type, types.String)
        assert isinstance(table.c['nested_record.record.age'].type, types.Integer)
        assert isinstance(table.c['nested_record.record.name'].type, types.String)
        assert isinstance(table.c.array.type, types.ARRAY)

        rows = table.select().execute().fetchall()
        assert len(rows) == 1000 
开发者ID:mxmzdlv,项目名称:pybigquery,代码行数:24,代码来源:test_sqlalchemy_bigquery.py

示例8: fields_map

# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import Float [as 别名]
def fields_map(self, field_type):
        if field_type == "primary":
            return {'type': 'keyword'}

        type_map = {
            'date': types.Date,
            'datetime': types.DateTime,
            'boolean': types.Boolean,
            'integer': types.Integer,
            'float': types.Float,
            'binary': types.Binary
        }
        if isinstance(field_type, str):
            field_type = type_map.get(field_type, types.Text)

        if not isinstance(field_type, type):
            field_type = field_type.__class__

        if issubclass(field_type, (types.DateTime, types.Date)):
            return {'type': 'date'}
        elif issubclass(field_type, types.Integer):
            return {'type': 'long'}
        elif issubclass(field_type, types.Float):
            return {'type': 'float'}
        elif issubclass(field_type, types.Boolean):
            return {'type': 'boolean'}
        elif issubclass(field_type, types.Binary):
            return {'type': 'binary'}
        return {'type': 'string'}


# https://medium.com/@federicopanini/elasticsearch-6-0-removal-of-mapping-types-526a67ff772 
开发者ID:honmaple,项目名称:flask-msearch,代码行数:34,代码来源:elasticsearch_backend.py

示例9: test_should_float_convert_float

# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import Float [as 别名]
def test_should_float_convert_float():
    assert get_field(types.Float()).type == graphene.Float 
开发者ID:graphql-python,项目名称:graphene-sqlalchemy,代码行数:4,代码来源:test_converter.py

示例10: test_numeric

# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import Float [as 别名]
def test_numeric(self):
        "Exercise type specification and options for numeric types."

        columns = [
            # column type, args, kwargs, expected ddl
            (types.NUMERIC, [], {}, "NUMERIC"),
            (types.NUMERIC, [None], {}, "NUMERIC"),
            (types.NUMERIC, [12, 4], {}, "NUMERIC(12, 4)"),
            (types.Float, [], {}, "FLOAT"),
            (types.Float, [None], {}, "FLOAT"),
            (types.Float, [12], {}, "FLOAT(12)"),
            (mssql.MSReal, [], {}, "REAL"),
            (types.Integer, [], {}, "INTEGER"),
            (types.BigInteger, [], {}, "BIGINT"),
            (mssql.MSTinyInteger, [], {}, "TINYINT"),
            (types.SmallInteger, [], {}, "SMALLINT"),
        ]

        metadata = MetaData()
        table_args = ["test_mssql_numeric", metadata]
        for index, spec in enumerate(columns):
            type_, args, kw, res = spec
            table_args.append(
                Column("c%s" % index, type_(*args, **kw), nullable=None)
            )

        numeric_table = Table(*table_args)
        dialect = mssql.dialect()
        gen = dialect.ddl_compiler(dialect, schema.CreateTable(numeric_table))

        for col in numeric_table.c:
            index = int(col.name[1:])
            testing.eq_(
                gen.get_column_specification(col),
                "%s %s" % (col.name, columns[index][3]),
            )
            self.assert_(repr(col)) 
开发者ID:sqlalchemy,项目名称:sqlalchemy,代码行数:39,代码来源:test_types.py

示例11: test_asdecimal_int_to_numeric

# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import Float [as 别名]
def test_asdecimal_int_to_numeric(self):
        expr = column("a", Integer) * column("b", Numeric(asdecimal=False))
        is_(expr.type.asdecimal, False)

        expr = column("a", Integer) * column("b", Numeric())
        is_(expr.type.asdecimal, True)

        expr = column("a", Integer) * column("b", Float())
        is_(expr.type.asdecimal, False)
        assert isinstance(expr.type, Float) 
开发者ID:sqlalchemy,项目名称:sqlalchemy,代码行数:12,代码来源:test_types.py

示例12: test_asdecimal_numeric_to_int

# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import Float [as 别名]
def test_asdecimal_numeric_to_int(self):
        expr = column("a", Numeric(asdecimal=False)) * column("b", Integer)
        is_(expr.type.asdecimal, False)

        expr = column("a", Numeric()) * column("b", Integer)
        is_(expr.type.asdecimal, True)

        expr = column("a", Float()) * column("b", Integer)
        is_(expr.type.asdecimal, False)
        assert isinstance(expr.type, Float) 
开发者ID:sqlalchemy,项目名称:sqlalchemy,代码行数:12,代码来源:test_types.py

示例13: test_float

# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import Float [as 别名]
def test_float(self, connection):
        metadata = self.metadata
        self._fixture(metadata, Float, 46.583)
        val = connection.exec_driver_sql("select val from t").scalar()
        assert isinstance(val, float)

        # some DBAPIs have unusual float handling
        if testing.against("oracle+cx_oracle", "mysql+oursql", "firebird"):
            eq_(round_decimal(val, 3), 46.583)
        else:
            eq_(val, 46.583) 
开发者ID:sqlalchemy,项目名称:sqlalchemy,代码行数:13,代码来源:test_types.py

示例14: __init__

# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import Float [as 别名]
def __init__(self):
        self._types = {
            # Django internal type => SQLAlchemy type
            'ArrayField': SA_ARRAY,
            'AutoField': sa_types.Integer,
            'BigAutoField': sa_types.BigInteger,
            'BigIntegerField': sa_types.BigInteger,
            'BooleanField': sa_types.Boolean,
            'CharField': sa_types.String,
            'DateField': sa_types.Date,
            'DateTimeField': sa_types.DateTime,
            'DecimalField': sa_types.Numeric,
            'DurationField': sa_types.Interval,
            'FileField': sa_types.String,
            'FilePathField': sa_types.String,
            'FloatField': sa_types.Float,
            'GenericIPAddressField': sa_types.String,
            'IntegerField': sa_types.Integer,
            'JSONField': SA_JSONB,
            'NullBooleanField': sa_types.Boolean,
            'PointField': Geometry,
            'PositiveIntegerField': sa_types.Integer,
            'PositiveSmallIntegerField': sa_types.SmallInteger,
            'SlugField': sa_types.String,
            'SmallIntegerField': sa_types.SmallInteger,
            'TextField': sa_types.Text,
            'TimeField': sa_types.Time,
            'UUIDField': SA_UUID,
            # TODO: Add missing GIS fields
        } 
开发者ID:dvhb,项目名称:dvhb-hybrid,代码行数:32,代码来源:convert.py

示例15: test_create_table

# 需要导入模块: from sqlalchemy import types [as 别名]
# 或者: from sqlalchemy.types import Float [as 别名]
def test_create_table(engine):
    meta = MetaData()
    table = Table(
        'test_pybigquery.test_table_create', meta,
        Column('integer_c', sqlalchemy.Integer, doc="column description"),
        Column('float_c', sqlalchemy.Float),
        Column('decimal_c', sqlalchemy.DECIMAL),
        Column('string_c', sqlalchemy.String),
        Column('text_c', sqlalchemy.Text),
        Column('boolean_c', sqlalchemy.Boolean),
        Column('timestamp_c', sqlalchemy.TIMESTAMP),
        Column('datetime_c', sqlalchemy.DATETIME),
        Column('date_c', sqlalchemy.DATE),
        Column('time_c', sqlalchemy.TIME),
        Column('binary_c', sqlalchemy.BINARY),
        bigquery_description="test table description",
        bigquery_friendly_name="test table name"
    )
    meta.create_all(engine)
    meta.drop_all(engine)

    # Test creating tables with declarative_base
    Base = declarative_base()

    class TableTest(Base):
        __tablename__ = 'test_pybigquery.test_table_create2'
        integer_c = Column(sqlalchemy.Integer, primary_key=True)
        float_c = Column(sqlalchemy.Float)

    Base.metadata.create_all(engine)
    Base.metadata.drop_all(engine) 
开发者ID:mxmzdlv,项目名称:pybigquery,代码行数:33,代码来源:test_sqlalchemy_bigquery.py


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