def validate(self, data):
if not isinstance(data, dict):
msg = 'Expected a dictionary object.'
raise_desc(NotValid, msg, data=describe_value(data))
for k, v in self.children.items():
if not k in data:
msg = 'Expecting key "%s" but not found in %s.' % (k, format_list(data))
raise_desc(NotValid, msg, data=describe_value(data), self=str(self))
try:
v.validate(data[k])
except NotValid as e:
msg = 'For child "%s":' % k
raise_wrapped(NotValid, e, msg)
def validate(self, data):
if self.can_be_none and (data is None):
return
if not isinstance(data, str):
msg = 'Expected a string object.'
raise_desc(NotValid, msg, data=describe_value(data))
def check_contracts_fail(contract, value, error=ContractNotRespected):
""" Returns the exception """
if isinstance(contract, six.string_types):
contract = [contract]
value = [value]
try:
context = check_contracts(contract, value)
msg = ('I was expecting that the values would not not'
' satisfy the contract.\n')
for v in value:
msg += ' value: %s\n' % describe_value(v)
for c in contract:
cp = parse_contract_string(c)
msg += ' contract: %r, parsed as %r (%s)\n' % (c, cp, cp)
msg += ' context: %r\n' % context
raise Exception(msg)
except error as e:
# Try generation of strings:
s = "%r" % e # @UnusedVariable
s = "%s" % e # @UnusedVariable
return e
def np_zeroshape_array(x):
# scalars = [
# np.int, # Platform integer (normally either int32 or int64)
# np.int8, # Byte (-128 to 127)
# np.int16, # Integer (-32768 to 32767)
# np.int32, # Integer (-2147483648 to 2147483647)
# np.int64, # Integer (9223372036854775808 to 9223372036854775807)
# np.uint8, # Unsigned integer (0 to 255)
# np.uint16, # Unsigned integer (0 to 65535)
# np.uint32, # Unsigned integer (0 to 4294967295)
# np.uint64, # Unsigned integer (0 to 18446744073709551615)
# np.float, # Shorthand for float64.
# np.float16, # Half precision float: sign bit, 5 bits exponent, 10 bits mantissa
# np.float32, # Single precision float: sign bit, 8 bits exponent, 23 bits mantissa
# np.float64, # Double precision float: sign bit, 11 bits exponent, 52 bits mantissa
# np.complex, # Shorthand for complex128.
# np.complex64, # Complex number, represented by two 32-bit floats (real and imaginary components)
# np.complex128
# ]
#
# if isinstance(x, tuple(scalars)):
# return
#
#
if not isinstance(x, np.ndarray):
msg = 'Not an array: %s %s ' % (type(x), describe_type(x))
raise ValueError(msg)
if not x.shape == ():
msg = 'Not a scalar: %s' % describe_value(x)
raise ValueError(msg)
def np_zeroshape_array(x):
# scalars = [
# np.int, # Platform integer (normally either int32 or int64)
# np.int8, # Byte (-128 to 127)
# np.int16, # Integer (-32768 to 32767)
# np.int32, # Integer (-2147483648 to 2147483647)
# np.int64, # Integer (9223372036854775808 to 9223372036854775807)
# np.uint8, # Unsigned integer (0 to 255)
# np.uint16, # Unsigned integer (0 to 65535)
# np.uint32, # Unsigned integer (0 to 4294967295)
# np.uint64, # Unsigned integer (0 to 18446744073709551615)
# np.float, # Shorthand for float64.
# np.float16, # Half precision float: sign bit, 5 bits exponent, 10 bits mantissa
# np.float32, # Single precision float: sign bit, 8 bits exponent, 23 bits mantissa
# np.float64, # Double precision float: sign bit, 11 bits exponent, 52 bits mantissa
# np.complex, # Shorthand for complex128.
# np.complex64, # Complex number, represented by two 32-bit floats (real and imaginary components)
# np.complex128
# ]
#
# if isinstance(x, tuple(scalars)):
# return
#
#
if not isinstance(x, np.ndarray):
msg = 'Not an array: %s %s ' % (type(x), describe_type(x))
raise ValueError(msg)
if not x.shape == ():
msg = 'Not a scalar: %s' % describe_value(x)
raise ValueError(msg)
def validate(self, data):
if not isinstance(data, list):
msg = 'Expected a list object.'
raise_desc(NotValid, msg, data=describe_value(data))
for i, d in enumerate(data):
try:
self.prototype.validate(d)
except NotValid as e:
msg = 'For entry %d:' % i
raise_wrapped(NotValid, e, msg)
def validate(self, data):
if not isinstance(data, dict):
msg = 'Expected a dictionary object.'
raise_desc(NotValid, msg, data=describe_value(data))
for k in data:
try:
self.prototype.validate(data[k])
except NotValid as e:
msg = 'For entry "%s":' % k
raise_wrapped(NotValid, e, msg)
def __str__(self):
if self.block is not None:
name = self.block.name
else:
name = '(unknown)'
# TODO: add short bad_value
s = ("Bad input %r for block %r: %s" %
(self.input_signal, name, self.error))
if self.block is not None:
s += '\n value: %s' % describe_value(self.bad_value)
s += format_where(self.block)
return s
def validate(self, data):
if self.can_be_none and data is None:
return
if not isinstance(data, bytes):
msg = 'Expected a bytes object.'
raise_desc(NotValid, msg, data=describe_value(data))
def check_numpy_array(value):
if not isinstance(value, numpy.ndarray):
msg = 'Expected array: %s' % describe_value(value)
raise ValueError(msg)
def check_numpy_array(value):
import numpy as np
if not isinstance(value, np.ndarray):
msg = 'Expected array: %s' % describe_value(value)
raise ValueError(msg)
