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! Copyright (c) 2024-2025, The Regents of the University of California and Sourcery Institute
! Terms of use are as specified in LICENSE.txt
#include "language-support.F90"
module string_test_m
use assert_m, only : assert
use iso_c_binding, only : c_bool, c_size_t
use julienne_m, only : &
test_t &
,test_result_t &
,test_description_t &
,test_diagnosis_t &
,usher &
,string_t &
,operator(.all.) &
,operator(.also.) &
,operator(.approximates.) &
,operator(.cat.) &
,operator(.csv.) &
,operator(.equalsExpected.) &
,operator(.sv.) &
,operator(.within.)
implicit none
private
public :: string_test_t
type, extends(test_t) :: string_test_t
contains
procedure, nopass :: subject
procedure, nopass :: results
end type
contains
pure function subject() result(specimen)
character(len=:), allocatable :: specimen
specimen = "The string_t type"
end function
function results() result(test_results)
type(test_result_t), allocatable :: test_results(:)
type(test_description_t), allocatable :: test_descriptions(:)
type(string_test_t) string_test
test_descriptions = [ &
test_description_t("is_allocated() result .true. if & only if the string_t component(s) is/are allocated", usher(check_allocation))&
,test_description_t("extracting a key string from a colon-separated key/value pair", usher( extracts_key))&
,test_description_t("extracting double-precision value from colon-separated key/value pair", usher(extracts_double_precision_value))&
,test_description_t("extracting a real value from a colon-separated key/value pair", usher( extracts_real_value))&
,test_description_t("extracting a character value from a colon-separated key/value pair", usher( extracts_character_value))&
,test_description_t("extracting a string value from a colon-separated key/value pair", usher( extracts_string_value))&
,test_description_t("extracting an integer value from a colon-separated key/value pair", usher( extracts_integer_value))&
,test_description_t("extracting a logical value from a colon-separated key/value pair", usher( extracts_logical_value))&
,test_description_t("extracting an integer array value from a colon-separated key/value pair", usher( extracts_integer_array_value))&
,test_description_t("extracting an real array value from a colon-separated key/value pair", usher( extracts_real_array_value))&
,test_description_t("extracting a double-precision array from a colon-separated key/value pair", usher( extracts_dp_array_value))&
,test_description_t('supporting operator(==) for string_t and character operands', usher( supports_equivalence_operator))&
,test_description_t('supporting operator(/=) for string_t and character operands', usher( supports_non_equivalence_operator))&
,test_description_t('assigning a string_t object to a character variable', usher( assigns_string_t_to_character))&
,test_description_t('assigning a character variable to a string_t object', usher( assigns_character_to_string_t))&
,test_description_t('supporting operator(//) for string_t and character operands', usher( supports_concatenation_operator))&
,test_description_t('constructing from a default integer and an integer(c_size_t)', usher( constructs_from_integers))&
,test_description_t('constructing from a default real value', usher( constructs_from_default_real))&
,test_description_t('constructing from a double-precision value', usher( constructs_from_double_precision))&
,test_description_t('constructing from a default-precision complex value', usher( constructs_from_default_complex))&
,test_description_t('constructing from a default-kind logical value', usher( constructs_from_default_logical))&
,test_description_t('constructing from a logical(c_bool) value', usher( constructs_from_logical_c_bool))&
,test_description_t('extracting a file base name', usher( extracts_file_base_name))&
,test_description_t('extracting a file name extension', usher( extracts_file_name_extension))&
,test_description_t('supporting unary operator(.cat.) for array arguments', usher( concatenates_elements))&
,test_description_t('constructing bracketed strings', usher( brackets_strings))&
,test_description_t("extracting a string_t array value from a colon-separated key/value pair", usher( extracts_string_array_value))&
,test_description_t('constructing (comma-)separated values from character or string_t arrays', usher( constructs_separated_values))&
,test_description_t('constructing from a double-precision complex value', usher( constructs_from_double_precision_complex))&
]
test_results = string_test%run(test_descriptions)
end function
pure function check_allocation() result(test_diagnosis)
type(test_diagnosis_t) test_diagnosis
type(string_t) :: scalar_not_allocated, scalar_allocated, array_allocated(2), array_not_allocated(2)
scalar_allocated = string_t("")
array_allocated = [string_t("yada yada"), string_t("blah blah blah")]
associate(not_any_allocated => .not. any([scalar_not_allocated%is_allocated(), array_not_allocated%is_allocated()]))
associate(all_allocated => all([scalar_allocated%is_allocated(), array_allocated%is_allocated()]))
test_diagnosis = test_diagnosis_t( &
test_passed = not_any_allocated .and. all_allocated &
,diagnostics_string = "expected .true., true.; actual " // string_t(not_any_allocated) // string_t(all_allocated) &
)
end associate
end associate
end function
function extracts_key() result(test_diagnosis)
type(test_diagnosis_t) test_diagnosis
associate(line => string_t('"foo" : "bar"'))
test_diagnosis = line%get_json_key() .equalsExpected. "foo"
end associate
end function
function extracts_double_precision_value() result(test_diagnosis)
type(test_diagnosis_t) test_diagnosis
double precision, parameter :: tolerance = 1D-16
associate(line => string_t('"pi" : 3.141592653589793D0'))
test_diagnosis = line%get_json_value(key="pi", mold=0.D0) .approximates. 3.141592653589793D0 .within. tolerance
end associate
end function
function extracts_real_value() result(test_diagnosis)
type(test_diagnosis_t) test_diagnosis
real, parameter :: tolerance = 1E-08
associate(line => string_t('"pi" : 3.14159'))
associate(json_value => line%get_json_value(key=string_t("pi"), mold=1.))
test_diagnosis = json_value .approximates. 3.14159 .within. tolerance
end associate
end associate
end function
function extracts_character_value() result(test_diagnosis)
type(test_diagnosis_t) test_diagnosis
associate(line => string_t('"foo" : "bar"'), line_with_comma => string_t('"foo" : "bar",'))
test_diagnosis = (line%get_json_value( key= "foo" , mold="") .equalsExpected. "bar") &
.also. (line_with_comma%get_json_value(key= "foo" , mold="") .equalsExpected. "bar") &
.also. (line%get_json_value( key=string_t("foo"), mold="") .equalsExpected. "bar") &
.also. (line_with_comma%get_json_value(key=string_t("foo"), mold="") .equalsExpected. "bar")
end associate
end function
function extracts_string_value() result(test_diagnosis)
type(test_diagnosis_t) test_diagnosis
associate(line => string_t('"foo" : "bar"'), line_with_comma => string_t('"foo" : "bar",'))
test_diagnosis = (line%get_json_value( key= "foo" , mold=string_t("")) .equalsExpected. "bar") &
.also. (line_with_comma%get_json_value(key= "foo" , mold=string_t("")) .equalsExpected. "bar") &
.also. (line%get_json_value( key=string_t("foo"), mold=string_t("")) .equalsExpected. "bar") &
.also. (line_with_comma%get_json_value(key=string_t("foo"), mold=string_t("")) .equalsExpected. "bar")
end associate
end function
function extracts_integer_value() result(test_diagnosis)
type(test_diagnosis_t) test_diagnosis
associate(line => string_t('"an integer" : 99'))
associate(json_value => line%get_json_value(key=string_t("an integer"), mold=0))
test_diagnosis = test_diagnosis_t( &
test_passed = json_value == 99 &
,diagnostics_string = "expected 99, actual " // string_t(json_value) &
)
end associate
end associate
end function
function extracts_logical_value() result(test_diagnosis)
type(test_diagnosis_t) test_diagnosis
associate( &
key_true_pair => string_t('"yada yada" : true'), &
key_false_pair => string_t('"blah blah" : false'), &
trailing_comma => string_t('"trailing comma" : true,') &
)
associate( &
true => key_true_pair%get_json_value(key=string_t("yada yada"), mold=.true.) &
,true_too => trailing_comma%get_json_value(key=string_t("trailing comma"), mold=.true.) &
,false => key_false_pair%get_json_value(key=string_t("blah blah"), mold=.true.) &
)
test_diagnosis = test_diagnosis_t( &
test_passed = all([true, true_too, .not. false]) &
,diagnostics_string = "expected T,T,T; actual " // .csv. string_t([true, true_too, .not. false]) &
)
end associate
end associate
end function
function extracts_string_array_value() result(test_diagnosis)
type(test_diagnosis_t) test_diagnosis
associate(key_string_array_pair => string_t('"lead singer" : ["stevie", "ray", "vaughn"],'))
associate(string_array => key_string_array_pair%get_json_value(key="lead singer", mold=[string_t::]))
test_diagnosis = .all. (string_array .equalsExpected. [string_t("stevie"), string_t("ray"), string_t("vaughn")])
end associate
end associate
end function
function extracts_integer_array_value() result(test_diagnosis)
type(test_diagnosis_t) test_diagnosis
associate(key_integer_array_pair => string_t('"some key" : [1, 2, 3],'))
associate(integer_array => key_integer_array_pair%get_json_value(key=string_t("some key"), mold=[integer::]))
test_diagnosis = .all. (integer_array .equalsExpected. [1,2,3])
end associate
end associate
end function
function extracts_real_array_value() result(test_diagnosis)
type(test_diagnosis_t) test_diagnosis
real, parameter :: tolerance = 1E-08
associate(key_real_array_pair => string_t('"a key" : [1., 2., 4.],'))
associate(real_array => key_real_array_pair%get_json_value(key=string_t("a key"), mold=[real::]))
test_diagnosis = test_diagnosis_t( &
test_passed = all(abs(real_array - [1., 2., 4.]) < tolerance) &
,diagnostics_string = "expected 1,2,3; actual " // .csv. string_t(real_array) &
)
end associate
end associate
end function
function extracts_dp_array_value() result(test_diagnosis)
type(test_diagnosis_t) test_diagnosis
double precision, parameter :: tolerance = 1E-16
associate(key_dp_array_pair => string_t('"a key" : [1.D0, 2.D0, 4.D0],'))
associate(dp_array => key_dp_array_pair%get_json_value(key=string_t("a key"), mold=[double precision::]))
test_diagnosis = test_diagnosis_t( &
test_passed = all(abs(dp_array - [1D0, 2D0, 4D0]) < tolerance) &
,diagnostics_string = "expected 1.,2.,3.; actual " // .csv. string_t(dp_array) &
)
end associate
end associate
end function
function supports_equivalence_operator() result(test_diagnosis)
type(test_diagnosis_t) test_diagnosis
associate(comparisons => [ string_t("abcdefg") == string_t("abcdefg") &
,string_t("xyz pdq") == "xyz pdq" &
, "123.456" == string_t("123.456") &
, "123.456" == string_t("123" )])
test_diagnosis = test_diagnosis_t( &
test_passed = all(comparisons .eqv. [.true.,.true.,.true.,.false.]) &
,diagnostics_string = "expected T,T,T,F; actual " // .csv. string_t([comparisons(1:3), .not. comparisons(4)]) &
)
end associate
end function
function supports_non_equivalence_operator() result(test_diagnosis)
type(test_diagnosis_t) test_diagnosis
associate(non_equivalent_strings => [string_t("abcdefg") /= string_t("xyz pdq") &
,string_t("xyz pdq") /= "abcdefg" &
, "123.456" /= string_t("456.123") &
, "123.456" /= string_t("123.456")])
test_diagnosis = test_diagnosis_t( &
test_passed = all(non_equivalent_strings .eqv. [.true.,.true.,.true.,.false.]) &
,diagnostics_string = "expected T,T,T,F; actual " // .csv. string_t(non_equivalent_strings) &
)
end associate
end function
function assigns_string_t_to_character() result(test_diagnosis)
type(test_diagnosis_t) test_diagnosis
character(len=:), allocatable :: lhs
associate(rhs => string_t("ya don't say"))
lhs = rhs
test_diagnosis = test_diagnosis_t( &
test_passed = lhs == rhs &
,diagnostics_string = "expected lhs == rhs; actual lhs = " // lhs // ", rhs = " // rhs &
)
end associate
end function
function assigns_character_to_string_t() result(test_diagnosis)
type(test_diagnosis_t) test_diagnosis
character(len=*), parameter :: rhs = "well, alrighty then"
type(string_t) lhs
lhs = rhs
test_diagnosis = test_diagnosis_t( &
test_passed = lhs == rhs &
,diagnostics_string = "expected lhs == rhs; actual lhs = " // lhs // ", rhs = " // rhs &
)
end function
function supports_concatenation_operator() result(test_diagnosis)
type(test_diagnosis_t) test_diagnosis
character(len=*), parameter :: prefix = "foo", postfix="bar", expected = "foo yada yada bar"
associate(infix => string_t(" yada yada "))
associate(string_string_string => prefix // infix // postfix, string_character_string => prefix // infix%string() // postfix)
test_diagnosis = test_diagnosis_t( &
test_passed = all([string_string_string == expected, string_character_string == expected]) &
,diagnostics_string = "expected '"// expected // "', actual " // string_string_string // "," // string_character_string &
)
end associate
end associate
end function
function constructs_from_integers() result(test_diagnosis)
type(test_diagnosis_t) test_diagnosis
test_diagnosis = (string_t(1234567890) .equalsExpected. "1234567890") &
.also. (string_t(1234567890123456789_c_size_t) .equalsExpected. "1234567890123456789")
end function
function constructs_from_default_real() result(test_diagnosis)
type(test_diagnosis_t) test_diagnosis
real, parameter :: real_value = -1./1024. ! use a negative power of 2 for an exactly representable rational number
real, parameter :: tolerance = 0.
real read_value
character(len=:), allocatable :: character_representation
associate(string => string_t(real_value))
character_representation = string%string()
read(character_representation, *) read_value
test_diagnosis = read_value .approximates. real_value .within. tolerance
end associate
end function
function constructs_from_double_precision() result(test_diagnosis)
type(test_diagnosis_t) test_diagnosis
double precision, parameter :: expected_value = -1D0/1024D0 ! use a negative power of 2 for an exactly representable rational number
double precision, parameter :: tolerance = 0D0
double precision read_value
character(len=:), allocatable :: character_representation
associate(string => string_t(expected_value))
character_representation = string%string()
read(character_representation, *) read_value
test_diagnosis = read_value .approximates. expected_value .within. tolerance
end associate
end function
function constructs_from_default_complex() result(test_diagnosis)
type(test_diagnosis_t) test_diagnosis
real, parameter :: real_value = -1./1024. ! use a negative power of 2 for an exactly representable rational number
real, parameter :: tolerance = 1E-08
complex, parameter :: z = (real_value, real_value)
complex read_value
character(len=:), allocatable :: character_representation
associate(string => string_t(z))
character_representation = string%string()
read(character_representation, *) read_value
test_diagnosis = test_diagnosis_t( &
test_passed = abs(read_value - z) < tolerance &
,diagnostics_string = "expected '"// string_t(z) // "', actual " // string_t(read_value) &
)
end associate
end function
function constructs_from_double_precision_complex() result(test_diagnosis)
type(test_diagnosis_t) test_diagnosis
double precision, parameter :: double_precision_value = -1D0/1024D0 ! use a negative power of 2 for an exactly representable rational number
double precision, parameter :: tolerance = 1E-16
complex(kind(1D0)), parameter :: z = (double_precision_value, double_precision_value)
complex(kind(1D0)) read_value
character(len=:), allocatable :: character_representation
associate(string => string_t(z))
character_representation = string%string()
read(character_representation, *) read_value
test_diagnosis = test_diagnosis_t( &
test_passed = abs(read_value - z) < tolerance &
,diagnostics_string = "expected '"// string_t(z) // "', actual " // string_t(read_value) &
)
end associate
end function
function constructs_from_default_logical() result(test_diagnosis)
type(test_diagnosis_t) test_diagnosis
associate(true => string_t(.true.), false => string_t(.false.))
test_diagnosis = test_diagnosis_t( &
test_passed = all([true%string() == "T", false%string() == "F"]) &
,diagnostics_string = "expected T, F; actual '"// true%string() // ", " // false%string() &
)
end associate
end function
function constructs_from_logical_c_bool() result(test_diagnosis)
type(test_diagnosis_t) test_diagnosis
associate(true => string_t(.true._c_bool), false => string_t(.false._c_bool))
test_diagnosis = test_diagnosis_t( &
test_passed = true%string() == "T" .and. false%string() == "F" &
,diagnostics_string = "expected T, F; actual '"// true%string() // ", " // false%string() &
)
end associate
end function
function extracts_file_base_name() result(test_diagnosis)
type(test_diagnosis_t) test_diagnosis
character(len=*), parameter :: expected = "foo .bar"
associate(string => string_t(" foo .bar.too "))
associate(base_name => string%base_name())
test_diagnosis = test_diagnosis_t( &
test_passed = base_name == expected &
,diagnostics_string = "expected "// expected // ", actual " // base_name &
)
end associate
end associate
end function
function extracts_file_name_extension() result(test_diagnosis)
type(test_diagnosis_t) test_diagnosis
associate(string => string_t(" foo .bar.too "))
test_diagnosis = string%file_extension() .equalsExpected. "too"
end associate
end function
function concatenates_elements() result(test_diagnosis)
type(test_diagnosis_t) test_diagnosis
test_diagnosis = (.cat. [string_t("foo"), string_t("bar")]) .equalsExpected. "foobar"
end function
function brackets_strings() result(test_diagnosis)
type(test_diagnosis_t) test_diagnosis
associate(scalar => string_t("do re mi"))
#if (! defined(__GFORTRAN__)) || GCC_VERSION > 150000
associate(array => string_t(["do", "re", "mi"]))
test_diagnosis = test_diagnosis_t( &
test_passed = scalar%bracket() == string_t("[do re mi]") &
.and. all(array%bracket() == [string_t("[do]"), string_t("[re]"), string_t("[mi]")]) &
.and. all(array%bracket('"') == [string_t('"do"'), string_t('"re"'), string_t('"mi"')]) &
.and. all(array%bracket("{","}") == [string_t('{do}'), string_t('{re}'), string_t('{mi}')]) &
,diagnostics_string = "" &
)
end associate
#else
block
type(string_t), allocatable :: array(:)
array = string_t(["do", "re", "mi"])
test_diagnosis = test_diagnosis_t( &
test_passed = scalar%bracket() == string_t("[do re mi]") &
.and. all(array%bracket() == [string_t("[do]"), string_t("[re]"), string_t("[mi]")]) &
.and. all(array%bracket('"') == [string_t('"do"'), string_t('"re"'), string_t('"mi"')]) &
.and. all(array%bracket("{","}") == [string_t('{do}'), string_t('{re}'), string_t('{mi}')]) &
,diagnostics_string = "" &
)
end block
#endif
end associate
end function
function constructs_separated_values() result(test_diagnosis)
type(test_diagnosis_t) test_diagnosis
test_diagnosis = test_diagnosis_t( &
test_passed = &
"a,bc,def" == .csv. [string_t("a"), string_t("bc"), string_t("def")] &
.and. "abc,def" == .csv. ["abc", "def"] &
.and. "do|re|mi" == (string_t(["do", "re", "mi"]) .sv. "|" ) &
.and. "dore|mi" == (([string_t("dore"), string_t("mi")]) .sv. string_t("|")) &
.and. "do|re|mi" == ( ["do", "re", "mi"] .sv. "|" ) &
.and. "do|re|mi" == ( ["do", "re", "mi"] .sv. string_t("|")) &
,diagnostics_string = "" &
)
end function
end module string_test_m
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