Python django.db.models.fields 模块，FloatField() 实例源码

def convert_value(self, value, expression, connection, context):
        """
        Expressions provide their own converters because users have the option
        of manually specifying the output_field which may be a different type
        from the one the database returns.
        """
        field = self.output_field
        internal_type = field.get_internal_type()
        if value is None:
            return value
        elif internal_type == 'FloatField':
            return float(value)
        elif internal_type.endswith('IntegerField'):
            return int(value)
        elif internal_type == 'DecimalField':
            return backend_utils.typecast_decimal(value)
        return value

def set_float(instance, field):
    """ FloatField """
    possibles = []
    possibles.extend(get_field_choices(field))
    if possibles:
        setattr(instance, field.name, random.choice(possibles))
        return

    min_value = -2 ** 8
    max_value = 2 ** 8 - 1
    for validator in field.validators:
        if isinstance(validator, MinValueValidator):
            min_value = max(min_value, validator.limit_value)
        if isinstance(validator, MaxValueValidator):
            max_value = min(max_value, validator.limit_value)

    value = random.uniform(min_value, max_value)
    setattr(instance, field.name, value)

def get_django_field_map(self):
        from django.db.models import fields as djf
        return [
            (djf.AutoField, PrimaryKeyField),
            (djf.BigIntegerField, BigIntegerField),
            # (djf.BinaryField, BlobField),
            (djf.BooleanField, BooleanField),
            (djf.CharField, CharField),
            (djf.DateTimeField, DateTimeField),  # Extends DateField.
            (djf.DateField, DateField),
            (djf.DecimalField, DecimalField),
            (djf.FilePathField, CharField),
            (djf.FloatField, FloatField),
            (djf.IntegerField, IntegerField),
            (djf.NullBooleanField, partial(BooleanField, null=True)),
            (djf.TextField, TextField),
            (djf.TimeField, TimeField),
            (djf.related.ForeignKey, ForeignKeyField),
        ]

def convert_value(self, value, expression, connection, context):
        """
        Expressions provide their own converters because users have the option
        of manually specifying the output_field which may be a different type
        from the one the database returns.
        """
        field = self.output_field
        internal_type = field.get_internal_type()
        if value is None:
            return value
        elif internal_type == 'FloatField':
            return float(value)
        elif internal_type.endswith('IntegerField'):
            return int(value)
        elif internal_type == 'DecimalField':
            return backend_utils.typecast_decimal(value)
        return value

def get_django_field_map(self):
        from django.db.models import fields as djf
        return [
            (djf.AutoField, PrimaryKeyField),
            (djf.BigIntegerField, BigIntegerField),
            # (djf.BinaryField, BlobField),
            (djf.BooleanField, BooleanField),
            (djf.CharField, CharField),
            (djf.DateTimeField, DateTimeField),  # Extends DateField.
            (djf.DateField, DateField),
            (djf.DecimalField, DecimalField),
            (djf.FilePathField, CharField),
            (djf.FloatField, FloatField),
            (djf.IntegerField, IntegerField),
            (djf.NullBooleanField, partial(BooleanField, null=True)),
            (djf.TextField, TextField),
            (djf.TimeField, TimeField),
            (djf.related.ForeignKey, ForeignKeyField),
        ]

def get_django_field_map(self):
        from django.db.models import fields as djf
        return [
            (djf.AutoField, PrimaryKeyField),
            (djf.BigIntegerField, BigIntegerField),
            # (djf.BinaryField, BlobField),
            (djf.BooleanField, BooleanField),
            (djf.CharField, CharField),
            (djf.DateTimeField, DateTimeField),  # Extends DateField.
            (djf.DateField, DateField),
            (djf.DecimalField, DecimalField),
            (djf.FilePathField, CharField),
            (djf.FloatField, FloatField),
            (djf.IntegerField, IntegerField),
            (djf.NullBooleanField, partial(BooleanField, null=True)),
            (djf.TextField, TextField),
            (djf.TimeField, TimeField),
            (djf.related.ForeignKey, ForeignKeyField),
        ]

def convert_value(self, value, expression, connection, context):
        """
        Expressions provide their own converters because users have the option
        of manually specifying the output_field which may be a different type
        from the one the database returns.
        """
        field = self.output_field
        internal_type = field.get_internal_type()
        if value is None:
            return value
        elif internal_type == 'FloatField':
            return float(value)
        elif internal_type.endswith('IntegerField'):
            return int(value)
        elif internal_type == 'DecimalField':
            return backend_utils.typecast_decimal(value)
        return value

def convert_value(self, value, expression, connection, context):
        """
        Expressions provide their own converters because users have the option
        of manually specifying the output_field which may be a different type
        from the one the database returns.
        """
        field = self.output_field
        internal_type = field.get_internal_type()
        if value is None:
            return value
        elif internal_type == 'FloatField':
            return float(value)
        elif internal_type.endswith('IntegerField'):
            return int(value)
        elif internal_type == 'DecimalField':
            return backend_utils.typecast_decimal(value)
        return value

def convert_value(self, value, expression, connection, context):
        """
        Expressions provide their own converters because users have the option
        of manually specifying the output_field which may be a different type
        from the one the database returns.
        """
        field = self.output_field
        internal_type = field.get_internal_type()
        if value is None:
            return value
        elif internal_type == 'FloatField':
            return float(value)
        elif internal_type.endswith('IntegerField'):
            return int(value)
        elif internal_type == 'DecimalField':
            return backend_utils.typecast_decimal(value)
        return value

def convert_value(self, value, expression, connection, context):
        """
        Expressions provide their own converters because users have the option
        of manually specifying the output_field which may be a different type
        from the one the database returns.
        """
        field = self.output_field
        internal_type = field.get_internal_type()
        if value is None:
            return value
        elif internal_type == 'FloatField':
            return float(value)
        elif internal_type.endswith('IntegerField'):
            return int(value)
        elif internal_type == 'DecimalField':
            return backend_utils.typecast_decimal(value)
        return value

def convert_value(self, value, expression, connection, context):
        """
        Expressions provide their own converters because users have the option
        of manually specifying the output_field which may be a different type
        from the one the database returns.
        """
        field = self.output_field
        internal_type = field.get_internal_type()
        if value is None:
            return value
        elif internal_type == 'FloatField':
            return float(value)
        elif internal_type.endswith('IntegerField'):
            return int(value)
        elif internal_type == 'DecimalField':
            return backend_utils.typecast_decimal(value)
        return value

def __init__(self, expression, **extra):
        output_field = extra.pop('output_field', FloatField())
        super(Avg, self).__init__(expression, output_field=output_field, **extra)

def __init__(self, expression, sample=False, **extra):
        self.function = 'STDDEV_SAMP' if sample else 'STDDEV_POP'
        super(StdDev, self).__init__(expression, output_field=FloatField(), **extra)

def __init__(self, expression, sample=False, **extra):
        self.function = 'VAR_SAMP' if sample else 'VAR_POP'
        super(Variance, self).__init__(expression, output_field=FloatField(), **extra)

def _computed_aggregate_field(self):
        return FloatField()

def _resolve_output_field(self):
        source_field = self.get_source_fields()[0]
        if isinstance(source_field, (IntegerField, DecimalField)):
            self._output_field = FloatField()
        super(Avg, self)._resolve_output_field()

def __init__(self, expression, sample=False, **extra):
        self.function = 'STDDEV_SAMP' if sample else 'STDDEV_POP'
        super(StdDev, self).__init__(expression, output_field=FloatField(), **extra)

def __init__(self, expression, sample=False, **extra):
        self.function = 'VAR_SAMP' if sample else 'VAR_POP'
        super(Variance, self).__init__(expression, output_field=FloatField(), **extra)

def __init__(self):
        super(Random, self).__init__(output_field=fields.FloatField())

def _resolve_output_field(self):
        source_field = self.get_source_fields()[0]
        if isinstance(source_field, (IntegerField, DecimalField)):
            self._output_field = FloatField()
        super(Avg, self)._resolve_output_field()

def __init__(self, expression, sample=False, **extra):
        self.function = 'STDDEV_SAMP' if sample else 'STDDEV_POP'
        super(StdDev, self).__init__(expression, output_field=FloatField(), **extra)

def __init__(self, expression, sample=False, **extra):
        self.function = 'VAR_SAMP' if sample else 'VAR_POP'
        super(Variance, self).__init__(expression, output_field=FloatField(), **extra)

def __init__(self):
        super(Random, self).__init__(output_field=fields.FloatField())

def __init__(self, expression, **extra):
        output_field = extra.pop('output_field', FloatField())
        super(Avg, self).__init__(expression, output_field=output_field, **extra)

def __init__(self, expression, sample=False, **extra):
        self.function = 'STDDEV_SAMP' if sample else 'STDDEV_POP'
        super(StdDev, self).__init__(expression, output_field=FloatField(), **extra)

def __init__(self, expression, sample=False, **extra):
        self.function = 'VAR_SAMP' if sample else 'VAR_POP'
        super(Variance, self).__init__(expression, output_field=FloatField(), **extra)

def _computed_aggregate_field(self):
        return FloatField()

def __init__(self, expression, **extra):
        output_field = extra.pop('output_field', FloatField())
        super(Avg, self).__init__(expression, output_field=output_field, **extra)

def __init__(self, expression, sample=False, **extra):
        self.function = 'STDDEV_SAMP' if sample else 'STDDEV_POP'
        super(StdDev, self).__init__(expression, output_field=FloatField(), **extra)

def __init__(self, expression, sample=False, **extra):
        self.function = 'VAR_SAMP' if sample else 'VAR_POP'
        super(Variance, self).__init__(expression, output_field=FloatField(), **extra)

def _computed_aggregate_field(self):
        return FloatField()

def _resolve_output_field(self):
        source_field = self.get_source_fields()[0]
        if isinstance(source_field, (IntegerField, DecimalField)):
            self._output_field = FloatField()
        super(Avg, self)._resolve_output_field()

def __init__(self, expression, sample=False, **extra):
        self.function = 'STDDEV_SAMP' if sample else 'STDDEV_POP'
        super(StdDev, self).__init__(expression, output_field=FloatField(), **extra)

def __init__(self, expression, sample=False, **extra):
        self.function = 'VAR_SAMP' if sample else 'VAR_POP'
        super(Variance, self).__init__(expression, output_field=FloatField(), **extra)

def __init__(self):
        super(Random, self).__init__(output_field=fields.FloatField())

def __init__(self, expression, **extra):
        super(Avg, self).__init__(expression, output_field=FloatField(), **extra)

def __init__(self, expression, sample=False, **extra):
        self.function = 'STDDEV_SAMP' if sample else 'STDDEV_POP'
        super(StdDev, self).__init__(expression, output_field=FloatField(), **extra)

def __init__(self, expression, sample=False, **extra):
        self.function = 'VAR_SAMP' if sample else 'VAR_POP'
        super(Variance, self).__init__(expression, output_field=FloatField(), **extra)

def _computed_aggregate_field(self):
        return FloatField()