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"""Tests for DecodeCSV op from parsing_ops."""
import tensorflow.python.platform
import numpy as np
import tensorflow as tf
class DecodeCSVOpTest(tf.test.TestCase):
def _test(self, args, expected_out=None, expected_err_re=None):
with self.test_session() as sess:
decode = tf.decode_csv(**args)
if expected_err_re is None:
out = sess.run(decode)
for i, field in enumerate(out):
if field.dtype == np.float32:
self.assertAllClose(field, expected_out[i])
else:
self.assertAllEqual(field, expected_out[i])
else:
with self.assertRaisesOpError(expected_err_re):
sess.run(decode)
def testSimple(self):
args = {"records": ["1", "2", '"3"'], "record_defaults": [[1]],}
expected_out = [[1, 2, 3]]
self._test(args, expected_out)
def testScalar(self):
args = {"records": '1,""', "record_defaults": [[3], [4]]}
expected_out = [1, 4]
self._test(args, expected_out)
def test2D(self):
args = {"records": [["1", "2"], ['""', "4"]], "record_defaults": [[5]]}
expected_out = [[[1, 2], [5, 4]]]
self._test(args, expected_out)
def testInt64(self):
args = {
"records": ["1", "2", '"2147483648"'],
"record_defaults": [np.array([],
dtype=np.int64)],
}
expected_out = [[1, 2, 2147483648]]
self._test(args, expected_out)
def testComplexString(self):
args = {
"records": ['"1.0"', '"ab , c"', '"a\nbc"', '"ab""c"', " abc "],
"record_defaults": [["1"]]
}
expected_out = [["1.0", "ab , c", "a\nbc", 'ab"c', " abc "]]
self._test(args, expected_out)
def testMultiRecords(self):
args = {
"records": ["1.0,4,aa", "0.2,5,bb", "3,6,cc"],
"record_defaults": [[1.0], [1], ["aa"]]
}
expected_out = [[1.0, 0.2, 3], [4, 5, 6], ["aa", "bb", "cc"]]
self._test(args, expected_out)
def testWithDefaults(self):
args = {
"records": [",1,", "0.2,3,bcd", "3.0,,"],
"record_defaults": [[1.0], [0], ["a"]]
}
expected_out = [[1.0, 0.2, 3.0], [1, 3, 0], ["a", "bcd", "a"]]
self._test(args, expected_out)
def testWithTabDelim(self):
args = {
"records": ["1\t1", "0.2\t3", "3.0\t"],
"record_defaults": [[1.0], [0]],
"field_delim": "\t"
}
expected_out = [[1.0, 0.2, 3.0], [1, 3, 0]]
self._test(args, expected_out)
def testWithoutDefaultsError(self):
args = {
"records": [",1", "0.2,3", "3.0,"],
"record_defaults": [[1.0], np.array([],
dtype=np.int32)]
}
self._test(args,
expected_err_re="Field 1 is required but missing in record 2!")
def testWrongFieldIntError(self):
args = {
"records": [",1", "0.2,234a", "3.0,2"],
"record_defaults": [[1.0], np.array([],
dtype=np.int32)]
}
self._test(args,
expected_err_re="Field 1 in record 1 is not a valid int32: 234a")
def testOutOfRangeError(self):
args = {
"records": ["1", "9999999999999999999999999", "3"],
"record_defaults": [[1]]
}
self._test(args,
expected_err_re="Field 0 in record 1 is not a valid int32: ")
def testWrongFieldFloatError(self):
args = {
"records": [",1", "0.2,2", "3.0adf,3"],
"record_defaults": [[1.0], np.array([],
dtype=np.int32)]
}
self._test(args,
expected_err_re="Field 0 in record 2 is not a valid float: ")
def testWrongFieldStringError(self):
args = {"records": ['"1,a,"', "0.22", 'a"bc'], "record_defaults": [["a"]]}
self._test(
args,
expected_err_re="Unquoted fields cannot have quotes/CRLFs inside")
if __name__ == "__main__":
tf.test.main()
|
