def check_mylist4(mylist, clear=True):
""" Validator for mtcars, inputs are statements """
data_types = [type(x) for x in mylist]
expect(
(len(mylist) <= 10, "List should not be bigger than length 10"),
(str not in data_types, "List should not contain strings", "They should be other things"),
)
def check_mylist2(mylist, clear=True):
""" Validator for mtcars, inputs are statements """
data_types = [type(x) for x in mylist]
expect(
len(mylist) <= 10,
str not in data_types,
)
report_failures(error=False, display=True, clear=clear)
def check_mylist1(mylist, clear=True):
""" Validator for mtcars, inputs are tuples """
data_types = [type(x) for x in mylist]
expect(
(len(mylist) <= 10, "List should not be bigger than length 10"),
(str not in data_types, "List should not contain strings"),
)
report_failures(error=False, display=True, clear=clear)
def check_df1(df, **kwds):
""" Validator for mtcars """
na_rows = df.isnull().any(axis=1).sum()
expect(
(len(df) > 10, "Num rows must be greater than 10"),
((df.mpg > 0).all(), "Not all values in mpg are over 0"),
(within_n_sds(4, df.mpg), "Not all mpg values within 4 SDs"),
(df.vs.isin([0, 1]).all(), "Values of vs are not all in set{0,1}"),
(df.am.isin([0, 1]).all(), "Values of am are not all in set{0,1}"),
(na_rows >= 0 and na_rows <= 2, "Number of NA rows is not within bounds [0, 2]"),
(within_n_mads(10, maha_dist(df)), "Not all maha_dist values within 10 MADs")
)
report_failures(**kwds)
def check_mylist3(mylist, clear=True):
""" Validator for mtcars, inputs are statements """
expect(len(mylist) <= 10, "List should not be bigger than length 10")
report_failures(error=False, display=True, clear=clear)
