def __init__(self, hdfs_file, input_type, output_type, name=None):
file_suffix = hdfs_file[-3:]
if not (file_suffix == '.so' or file_suffix == '.ll'):
raise ValueError('Invalid file type. Must be .so or .ll ')
self.hdfs_file = hdfs_file
inputs = [ir._validate_type(x) for x in input_type]
output = ir._validate_type(output_type)
new_name = name
if not name:
string = self.so_symbol
for in_type in inputs:
string += in_type
new_name = sha1(string).hexdigest()
UDFInfo.__init__(self, inputs, output, new_name)
def __init__(self, hdfs_file, input_type,
output_type, name=None):
file_suffix = hdfs_file[-3:]
if not(file_suffix == '.so' or file_suffix == '.ll'):
raise ValueError('Invalid file type. Must be .so or .ll ')
self.hdfs_file = hdfs_file
inputs = [ir._validate_type(x) for x in input_type]
output = ir._validate_type(output_type)
new_name = name
if not name:
string = self.so_symbol
for in_type in inputs:
string += in_type
new_name = sha1(string).hexdigest()
UDFInfo.__init__(self, inputs, output, new_name)
def _validate(self, args, i):
arg = args[i]
if isinstance(arg, py_string):
arg = arg.lower()
arg = args[i] = ir._validate_type(arg)
return arg
def __init__(self, names, types):
from ibis.expr.types import _validate_type
if not isinstance(names, list):
names = list(names)
self.names = names
self.types = [_validate_type(x) for x in types]
self._name_locs = dict((v, i) for i, v in enumerate(self.names))
if len(self._name_locs) < len(self.names):
raise com.IntegrityError('Duplicate column names')
def __init__(self, names, types):
from ibis.expr.types import _validate_type
if not isinstance(names, list):
names = list(names)
self.names = names
self.types = [_validate_type(x) for x in types]
self._name_locs = dict((v, i) for i, v in enumerate(self.names))
if len(self._name_locs) < len(self.names):
raise com.IntegrityError('Duplicate column names')
def _operation_type_conversion(inputs, output):
in_type = [ir._validate_type(x) for x in inputs]
in_values = [rules.value_typed_as(_convert_types(x)) for x in in_type]
out_type = ir._validate_type(output)
out_value = rules.shape_like_flatargs(out_type)
return (in_values, out_value)
def _operation_type_conversion(inputs, output):
in_type = [ir._validate_type(x) for x in inputs]
in_values = [rules.value_typed_as(_convert_types(x)) for x in in_type]
out_type = ir._validate_type(output)
out_value = rules.shape_like_flatargs(out_type)
return (in_values, out_value)
