def test_do_convert(inputDVstr,finalunitsstr,answerDVstr):
inputDV=DV.DataValue(inputDVstr)
answerDV=DV.DataValue(answerDVstr)
finalunits=finalunitsstr
convertedDV = do_convert(inputDV,finalunits)
assert str(answerDV)==str(convertedDV)
assert isinstance(convertedDV,DV.DataValue)
def test_datavalue_sub_fail_units():
x = DV.DataValue("2.414", "g")
y = DV.DataValue("2.0", "mL")
with pytest.raises(AssertionError):
z = x - y
##print("repr z:",repr(z))
assert str(z) == "4.4 gram"
def test_create_Chemplate_from_sources_multisource_with_overrides1():
overrides = CP.Chemplate(DoD={
"rand2a": {
'random_value': {
'type': 'exact',
'exact': '126.456'
}
}
})
source = CP.Chemplate(
DoD={
"rand2a": {
'random_value': {
'range': {
'low': 11.0,
'high': 12.0
}
}
},
'rand2b': {
'random_value': {
'type': 'exact',
'exact': '123.567'
}
}
})
var = CPU.create_Chemplate_from_sources(source, overrides)
assert str(var.getIDattr('rand2a',
'value')) == str(DV.DataValue("126.456"))
assert str(var.getIDattr('rand2b',
'value')) == str(DV.DataValue("123.567"))
def test_datavalue_mul():
x = DV.DataValue("2.314", "g/mL")
y = DV.DataValue("2.0", "mL")
z = x * y
#print("repr x:",repr(x))
#print("repr y:",repr(y))
#print("repr z:",repr(z))
assert str(z) == "4.6 gram"
def render_item_to_string(target_item, print_list=None):
""" render_item_to_string(target_item, print_list) renders and returns a string
representation of a Chemplate answer.
If the answer is incorrect, it forcres the units to be those given
in the Chemplate
print_list - a list of modifiers, which can alter the output txt:
Implemented so far:
'text' - append on the value of the 'text' ID in the Chemplate
"""
assert isinstance(target_item,CP.Chemplate)
verbose = False
if verbose:
print("PRINT_LIST:",pformat(print_list))
if print_list is None:
print_list = []
if is_correct(target_item):
if (verbose): print("answer item is correct")
answer_str = str(target_item.getIDvalue("value"))
else:
value = target_item.getIDvalue("value")
if (verbose): print("answer item is incorrect",value)
if isinstance(value, DV.DataValue):
magnitude = value.magnitude
units = target_item.getIDvalue("units")
value = DV.DataValue(magnitude = str(magnitude), units = units)
answer_str = str(value)
if "text" in print_list:
answer_str += " " + target_item.getIDvalue("text")
return answer_str
def parse_expression(args):
"""generate data from a parsed expression
Parameters
----------
expression = an expression to parse
vars : Each key is a the variable name and the
value is a DataValue to use in the expression
Returns
-------
a DataValue which is the result of the expression
Raises
------
AttributeError
if no attribute, value pair or dict is specified.
"""
verbose = False
#make this more robust and test it XXX
expression = args["expression"]
vars = args["vars"]
if verbose:
print("expression:", pformat(expression), "\nvars:", pformat(vars))
parser = Parser()
result = parser.parse(expression).evaluate(vars)
return {'value': DV.DataValue(result)}
def test_datavalue_add_float_int():
x = DV.DataValue("2.414", "")
y = 2
z = x + y
#print("repr z:",repr(z))
assert str(z) == "4"
y = 2.001
z = x + y
#print("repr z:",repr(z))
assert str(z) == "4.415"
def test_datavalue_div_float_int():
x = DV.DataValue("2.424")
y = 2
z = x / y
#print("repr z:",repr(z))
assert str(z) == "1"
y = 2.0000000000001
z = x / y
#print("repr z:",repr(z))
assert str(z) == "1.212"
def test_create_Chemplate_from_sources_sources_only():
source = CP.Chemplate(
DoD={"rand1": {
'random_value': {
'type': 'exact',
'exact': '123.456'
}
}})
var = CPU.create_Chemplate_from_sources(source)
assert str(var.getIDattr('rand1', 'value')) == str(DV.DataValue("123.456"))
def test_datavalue_mul_float_int():
x = DV.DataValue("2.314")
y = 2
z = x * y
#print("repr z:",repr(z))
#print("str z:",str(z),"<<")
assert str(z) == "5"
y = 2.0000001
z = x * y
#print("repr z:",repr(z))
assert str(z) == "4.628"
def random_value(repl=None):
"""generate a random DataValue
Parameters
----------
type (str): context for generating random number 'range'|'approx'|'exact' default: range,
range (dict): numerical range for range context default: {'low': 0.01, 'high': 10.0},
approx (dict): target and variance for approximate random number default: {'target' : 9.99999, 'pct': 10.0},
exact (str): magnitude to use for an exact number no default,
nsf_range (list): number of sig figs to create result with, default:[3,5],
units (str) :string to use for units, default: ''
units_format (str): how to format the units, 'abbrev' and/or 'HTML', default: '',
Returns
-------
a DataValue with the units specified, if any
Raises
------
AttributeError
if no attribute, value pair or dict is specified.
"""
verbose = False
config = deepcopy(random_value.valid_args)
if verbose: print("repl:", pformat(repl))
if repl is not None:
config.update(repl)
if verbose: print("updating:")
if verbose: print("randomValue config:", pformat(config))
if config['type'] == 'range':
mag = SF.SciSigFig.in_range(config['range']['low'],
config['range']['high'],
config['nsf_range'])
elif config['type'] == 'approx':
mag = SF.SciSigFig.approximate_magnitude(config['approx']['target'],
config['approx']['pct'])
elif (config['type'] == 'exact'):
numberstr = config['exact']
assert float(
numberstr), f"value for exact ({numberstr}) is not a number"
mag = SF.SciSigFig(str(numberstr))
else:
assert False, f"config.type \"{config['type']}\" is not 'range'|'approx'"
if config['units'] == '':
use_units = None
else:
use_units = config['units']
use_format = config['units_format']
datavalue = DV.DataValue(magnitude=str(mag),
units=use_units,
units_format=use_format)
if verbose: print("randomValue return:", pformat(datavalue))
return {'value': datavalue}
def test_datavalue_sub_ok_int_float():
x = DV.DataValue("22.414", "")
y = 22
z = x - y
#print("repr z:",repr(z))
assert str(z) == "0" # rounded to nearest unit
y = 22.000
z = x - y
#print("repr z:",repr(z))
assert str(z) == "0.4"
y = 22.001
z = x - y
#print("repr z:",repr(z))
assert str(z) == "0.413"
def test_create_Chemplate_from_sources_with_valsdict():
source = CP.Chemplate(
DoD={
"expr": {
"parse_expression": {
"expression": "mass/density",
"use_values": "true"
}
}
})
overrides = None
valsdict = {"mass": 5.0, "density": 10.0}
var = CPU.create_Chemplate_from_sources(source, overrides, valsdict)
assert str(var.getIDattr('expr', 'value')) == str(DV.DataValue("0.5"))
def get_conversion_factor(input_units, output_units):
"""get_conversion_factor determine the conversion factor between units
Parameters
----------
input_units : a string representing the units to convert from
output_units: a string representing the units to convert to
Returns
-------
a DataValue with the units conversion factor (1 in_unit = xx out_units)
Raises
------
"""
inputDV = DV.DataValue(" ".join(("1", input_units)), exact=True)
resultDV = do_convert(inputDV, output_units)
#print("get_conversion_factor::",pformat(resultDV))
return resultDV
def do_convert(inputDV, finalunits):
"""do_convert calculate a units conversion
Parameters
----------
inputDV : a DataValue to be converted to different units
finalunits: a string representing the units to convert to
Returns
-------
a DataValue with the units specified in final units
Raises
------
pint.errors.DimensionalityError
if there's no way to convert the units
"""
verbose = False
result = inputDV.quantity.to(finalunits)
resultDV = DV.DataValue(result.magnitude, result.units)
return resultDV
def __init__(self, chemicalProperty=None, chemicalName=None):
Prop = Query()
assert chemicalProperty != None, "No ChemicalProperty specified"
results = {}
if chemicalName != None:
searchResultsList = CV_db.search(
(Prop.property == chemicalProperty)
& (Prop.chemicalName == chemicalName))
Nresults = len(searchResultsList)
#print("cmpd + prop results:",searchResultsList)
assert Nresults > 0, f"No results from search {chemicalProperty},{chemicalName}"
assert Nresults == 1, f"too many ({Nresults}) results from search of {chemicalProperty}+{chemicalName}"
results = searchResultsList[0]
else:
searchResultsList = CV_db.search(Prop.property == chemicalProperty)
Nresults = len(searchResultsList)
assert Nresults > 0, f"No results from search of {chemicalProperty}"
results = searchResultsList[randint(0, Nresults - 1)]
#print("DB Results:",results)
self.value = DV.DataValue(results["value"], results["units"])
self.chemicalName = results["chemicalName"]
self.property = results["property"]
self.data_source = results["source"]
def test_create_Chemplate_from_sources_with_overrides2():
overrides = CP.Chemplate(
DoD={
"rand3": {
'random_value': {
'type': 'exact',
'exact': '127.456',
'units': 'gram / milliliter'
}
}
})
source = CP.Chemplate(DoD={
'rand3': {
'random_value': {
'range': {
'low': 11.0,
'high': 12.0
}
}
}
})
var = CPU.create_Chemplate_from_sources(source, overrides)
assert str(var.getIDattr('rand3', 'value')) == str(
DV.DataValue("127.456 gram / milliliter"))
def test_DataValue_object_default():
x = DV.DataValue()
#print("DV:",repr(x))
assert str(x) == "0.0"
def test_do_convert_broken_calls(inputDVstr,finalunitsstr,answerDVstr):
inputDV=DV.DataValue(inputDVstr)
finalunits=finalunitsstr
with pytest.raises(pint.errors.DimensionalityError) as excinfo:
convertedDV = do_convert(inputDV,finalunits)
assert "DimensionalityError" in str(excinfo.value)
def test_datavalue_div():
x = DV.DataValue("2.414", "g")
y = DV.DataValue("2.0", "mL")
z = x / y
#print("repr z:",repr(z))
assert str(z) == "1.2 gram / milliliter"
def test_datavalue_div2():
x = DV.DataValue("10.00", "g")
y = DV.DataValue("2.00", "mL")
z = x / y
#print("repr z:",repr(z))
assert str(z) == "5.00 gram / milliliter"
def test_datavalue_add_ok():
x = DV.DataValue("2.414", "g")
y = DV.DataValue("2.0", "g")
z = x + y
#print("repr z:",repr(z))
assert str(z) == "4.4 gram"
def test_datavalue_sub_ok():
x = DV.DataValue("22.414", "g")
y = DV.DataValue("22.0", "g")
z = x - y
#print("repr z:",repr(z))
assert str(z) == "0.4 gram"
def test_DataValue_object_exact(mag, mag_exact, units, answer):
x = DV.DataValue(mag, units, exact=True)
#print("DV repr:"+repr(x))
assert str(x) == answer
assert str(x.magnitude) == mag_exact
assert str(x.units) == units
("200.", "2.00e+2"),
("4.003e-10", "4.003e-10"),
])
def test_exactnumbers(number, answerstr):
repl = {'type': 'exact', 'exact': number}
x = DG.random_value(repl)
assert str(x['value'].magnitude) == answerstr
@pytest.mark.parametrize(
"expression, vars, answer",
[
#I use str because I don't want rounding errors in comparison
("1+2", {}, "3"),
("one + two", {
'one': DV.DataValue("1"),
'two': DV.DataValue("2")
}, DV.DataValue("3")),
("one + two", {
'one': DV.DataValue("1 g"),
'two': DV.DataValue("2 g")
}, DV.DataValue("3 gram")),
])
def test_parser(expression, vars, answer):
x = DG.parse_expression({"expression": expression, "vars": vars})
#print("test_parser x:",pformat(x))
assert str(x["value"]) == str(answer)
@pytest.mark.parametrize("template, vars, answer", [
("1+2", {
def test_answer_template():
source = CP.Chemplate(
DoD={
"rand1": {
'random_value': {
'type': 'exact',
'exact': '12.02'
}
},
"rand2": {
'random_value': {
'type': 'exact',
'exact': '6.01'
}
}
})
var = CPU.create_Chemplate_from_sources(source)
answer_template_1 = CP.Chemplate(
DoD={
"value": {
"parse_expression": {
"expression": "mass/density",
"use_values": "true"
}
},
"units": {
"copy_text": {
"text": "gram / milliliter"
}
},
"text": {
"fill_template": {
"template":
"mass/volume = ({{mass}})/{{volume}} = {{density}}",
"use_values": "true"
}
},
"text2": {
"fill_template": {
"template":
"mag units = {{property.magnitude}} {{property['units']}}",
"use_values": "true"
}
},
"text3": {
"fill_template": {
"template": "density = {{mass/volume}}",
"use_values": "true"
}
},
"text4": {
"fill_template": {
"template": "two = {{rand1.value/rand2.value}}",
"use_values": "true"
}
},
"correct": {
"copy_text": {
"text": "true"
}
},
"reason": {
"copy_text": {
"text": "To be implemented"
}
}, #"partials" : [{"parse_expression":{ "expression":"2.00*mass", "vars":true}},
# {"parse_expression":{ "expression":"0.0500*mass", "vars":true}},
# ]
})
correct_answers = {
'correct': {
'value': 'true'
},
'reason': {
'value': 'To be implemented'
},
'text': {
'value':
'mass/volume = (10.00 gram)/2.00 milliliter = 5.0000 gram / milliliter'
},
'text2': {
'value': 'mag units = 7.777 km/hr'
},
'text3': {
'value': 'density = 5.00 gram / milliliter'
},
'text4': {
'value': 'two = 2.00'
},
'units': {
'value': 'gram / milliliter'
},
'value': {
'value': str(DV.DataValue("2.000 milliliter"))
}
}
#print("SOURCE:",pformat(var))
overrides = CP.Chemplate(DoD={})
correct_CP = CP.Chemplate(DoD=correct_answers)
ten = DV.DataValue('10.00 g')
#This should be a DOD with "values"
vars = {
'mass': ten,
'volume': DV.DataValue('2.00 milliliter'),
'density': DV.DataValue('5.0000 gram / milliliter'),
'property': {
"magnitude": 7.777,
"units": "km/hr"
}
}
vars.update([("rand1", var.getID("rand1")), ("rand2", var.getID("rand2"))])
filled = CPU.create_Chemplate_from_sources(answer_template_1,
overrides,
values=vars)
#print("ANSWERS:",pformat(filled))
assert filled.assertEqualTo(correct_CP)
def test_DataValue_object_format(mag, units, answer, spec_in):
x = DV.DataValue(mag, units, units_format=spec_in)
#print("DV repr:"+repr(x))
assert str(x) == answer
assert str(x.magnitude) == mag
assert str(x.units) == units
DoD={
'correct': {
'value': 'true'
},
'reason': {
'value': 'To be implemented'
},
'text': {
'value':
'mass/volume = (10.00 gram)/2.00 milliliter = 5.0000 gram / milliliter'
},
'units': {
'value': 'gram / milliliter'
},
'value': {
'value': DV.DataValue(magnitude="2.00", units="milliliter")
}
}),
CP.Chemplate(
DoD={
'correct': {
'value': 'false'
},
'reason': {
'value': 'To be implemented'
},
'text': {
'value':
'mass/volume = (10.00 gram)/2.00 milliliter = 5.0000 gram / milliliter'
},
'units': {
