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added another prev wrapper

added another prev wrapper #246

GitHub Actions / JUnit Test Report failed May 22, 2024 in 0s

421 tests run, 385 passed, 0 skipped, 36 failed.

Annotations

Check failure on line 14 in tests/test_tox_databooks.py

See this annotation in the file changed.

@github-actions github-actions / JUnit Test Report

test_tox_databooks.test_databook[fr/LiST countries/BIH_databook.xlsx] 

ZeroDivisionError: float division by zero
Raw output 
path = PosixPath('/home/runner/work/Nutrition/Nutrition/inputs/fr/LiST countries/BIH_databook.xlsx')

    @pytest.mark.parametrize('path', excel_files, ids=lambda x: str(x.relative_to(inputdir)))
    def test_databook(path):
        P = nu.Project("test")
>       P.load_data(inputspath=path)

test_tox_databooks.py:14: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/project.py:184: in load_data
    self.add_model(name, growth=growth)  # add model associated with the dataset or datasets
../nutrition/utils.py:85: in wrapper
    return f(*args, **kwargs)
../nutrition/project.py:372: in add_model
    model = Model(dataset, t, growth=growth)
../nutrition/model.py:25: in __init__
    self._set_progs(self.prog_info.base_progset())
../nutrition/model.py:71: in _set_progs
    self.prog_info.set_init_covs(self.pops)
../nutrition/programs.py:661: in set_init_covs
    prog.set_pop_sizes(pops)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.programs.Program at 0x7fe470b63ad0>
[<class 'nutrition.programs.Program'>, <class 'sciris.sc_printing.prett...  6,  7,  8,  9, 10,
                    11])
————————————————————————————————————————————————————————————————————————

pops = [<nutrition.populations.Children at 0x7fe470a91990>
[<class 'nutrition.populations.Children'>, <class 'nutrition.popul...90>
              [<class 'nutrition.s [...]
————————————————————————————————————————————————————————————————————————
]

    def set_pop_sizes(self, pops):
        self._set_restrpop(pops)
        self._set_unrestrpop(pops)
        # this accounts for different fractions within age bands
>       self.sat_unrestr = self.restr_popsize / self.unrestr_popsize
E       ZeroDivisionError: float division by zero

../nutrition/programs.py:112: ZeroDivisionError

Check failure on line 14 in tests/test_tox_databooks.py

See this annotation in the file changed.

@github-actions github-actions / JUnit Test Report

test_tox_databooks.test_databook[fr/LiST countries/TUR_databook.xlsx] 

ZeroDivisionError: float division by zero
Raw output 
path = PosixPath('/home/runner/work/Nutrition/Nutrition/inputs/fr/LiST countries/TUR_databook.xlsx')

    @pytest.mark.parametrize('path', excel_files, ids=lambda x: str(x.relative_to(inputdir)))
    def test_databook(path):
        P = nu.Project("test")
>       P.load_data(inputspath=path)

test_tox_databooks.py:14: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/project.py:184: in load_data
    self.add_model(name, growth=growth)  # add model associated with the dataset or datasets
../nutrition/utils.py:85: in wrapper
    return f(*args, **kwargs)
../nutrition/project.py:372: in add_model
    model = Model(dataset, t, growth=growth)
../nutrition/model.py:25: in __init__
    self._set_progs(self.prog_info.base_progset())
../nutrition/model.py:71: in _set_progs
    self.prog_info.set_init_covs(self.pops)
../nutrition/programs.py:661: in set_init_covs
    prog.set_pop_sizes(pops)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.programs.Program at 0x7fe47003b1d0>
[<class 'nutrition.programs.Program'>, <class 'sciris.sc_printing.prett...  6,  7,  8,  9, 10,
                    11])
————————————————————————————————————————————————————————————————————————

pops = [<nutrition.populations.Children at 0x7fe46fde9990>
[<class 'nutrition.populations.Children'>, <class 'nutrition.popul...50>
              [<class 'nutrition.s [...]
————————————————————————————————————————————————————————————————————————
]

    def set_pop_sizes(self, pops):
        self._set_restrpop(pops)
        self._set_unrestrpop(pops)
        # this accounts for different fractions within age bands
>       self.sat_unrestr = self.restr_popsize / self.unrestr_popsize
E       ZeroDivisionError: float division by zero

../nutrition/programs.py:112: ZeroDivisionError

Check failure on line 14 in tests/test_tox_databooks.py

See this annotation in the file changed.

@github-actions github-actions / JUnit Test Report

test_tox_databooks.test_databook[fr/LiST countries/TON_databook.xlsx] 

Exception: Error in program data: La population cible est 0 pour Sels de réhydratation orale

La population cible est 0 pour SRO+Zn pour le traitement de la diarrhée
Raw output 
self = <nutrition.data.Dataset at 0x7f97fccd5010>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'TON_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7f97e743d990>
country = None, region = None, name = 'TON_databook'

    def __init__(self, databook: pandas.ExcelFile, country=None, region=None, name=None):
        """
        :param databook: Databook that is being used in the model
        :param country: The country of interest for data
        :param region: The region of interest in the country (in geospatial optimization)
        :param name:
        """
    
        self.country = country
        self.region = region
        self.name = name
    
        self.calcscache = CalcCellCache()
    
        # Read them into actual data
        try:
            self.demographic_data = DemographicData(databook, self.calcscache)
        except Exception as E:
            raise Exception("Error in databook: %s" % str(E)) from E
    
        try:
>           self.prog_data = ProgramData(databook, self.demographic_data, self.calcscache)

../nutrition/data.py:1004: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/data.py:683: in __init__
    self.validate()
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.data.ProgramData at 0x7f97d4795610>
[<class 'nutrition.data.ProgramData'>]
————————————————————————————————...490>
                 [<class 'nutritio [...]
————————————————————————————————————————————————————————————————————————


    def validate(self):
        """ Validate program data """
        invalid = []
        for progname in self.base_prog_set:
            cov = self.base_cov[progname]
            if cov < 0 or cov > 1:
                errormsg = _("Baseline coverage is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            sat = self.sat[progname]
            if sat < 0 or sat > 1:
                errormsg = _("Saturation is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            max_inc = self.max_inc[progname]
            if max_inc < 0 or max_inc > 1:
                errormsg = _("Maximum increase is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            max_dec = self.max_dec[progname]
            if max_dec < 0 or max_dec > 1:
                errormsg = _("Maximum decrease is outside the interval (0, 100) for %s") % progname
    
                invalid.append(errormsg)
            cost = self.costs[progname]
            if cost <= 0:
                errormsg = _("Cost is 0 or negative for %s") % progname
                invalid.append(errormsg)
            if progname not in self.prog_target.keys():
                errormsg = _("Target population not defined for %s") % progname
                invalid.append(errormsg)
            elif sum(self.prog_target[progname].values()) == 0:
                errormsg = _("Target population is 0 for %s") % progname
                invalid.append(errormsg)
        if invalid:
            errors = "\n\n".join(invalid)
>           raise Exception(errors)
E           Exception: La population cible est 0 pour Sels de réhydratation orale
E           
E           La population cible est 0 pour SRO+Zn pour le traitement de la diarrhée

../nutrition/data.py:727: Exception

The above exception was the direct cause of the following exception:

path = PosixPath('/home/runner/work/Nutrition/Nutrition/inputs/fr/LiST countries/TON_databook.xlsx')

    @pytest.mark.parametrize('path', excel_files, ids=lambda x: str(x.relative_to(inputdir)))
    def test_databook(path):
        P = nu.Project("test")
>       P.load_data(inputspath=path)

test_tox_databooks.py:14: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/project.py:175: in load_data
    dataset = Dataset(databook=databook, country=country, region=region, name=name)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.data.Dataset at 0x7f97fccd5010>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'TON_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7f97e743d990>
country = None, region = None, name = 'TON_databook'

    def __init__(self, databook: pandas.ExcelFile, country=None, region=None, name=None):
        """
        :param databook: Databook that is being used in the model
        :param country: The country of interest for data
        :param region: The region of interest in the country (in geospatial optimization)
        :param name:
        """
    
        self.country = country
        self.region = region
        self.name = name
    
        self.calcscache = CalcCellCache()
    
        # Read them into actual data
        try:
            self.demographic_data = DemographicData(databook, self.calcscache)
        except Exception as E:
            raise Exception("Error in databook: %s" % str(E)) from E
    
        try:
            self.prog_data = ProgramData(databook, self.demographic_data, self.calcscache)
        except Exception as E:
>           raise Exception("Error in program data: %s" % str(E)) from E
E           Exception: Error in program data: La population cible est 0 pour Sels de réhydratation orale
E           
E           La population cible est 0 pour SRO+Zn pour le traitement de la diarrhée

../nutrition/data.py:1006: Exception

Check failure on line 14 in tests/test_tox_databooks.py

See this annotation in the file changed.

@github-actions github-actions / JUnit Test Report

test_tox_databooks.test_databook[fr/LiST countries/MYS_databook.xlsx] 

Exception: Error in program data: La population cible est 0 pour Supplémentation équilibrée en énergie et en protéines

La population cible est 0 pour Transferts monétaires

La population cible est 0 pour Supplémentation en nutriments à base de lipides

La population cible est 0 pour Fourniture publique d'aliments complémentaires

La population cible est 0 pour Petite quantité de supplémentation en nutriments à base de lipides
Raw output 
self = <nutrition.data.Dataset at 0x7fe470437350>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'MYS_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fe4701a1ed0>
country = None, region = None, name = 'MYS_databook'

    def __init__(self, databook: pandas.ExcelFile, country=None, region=None, name=None):
        """
        :param databook: Databook that is being used in the model
        :param country: The country of interest for data
        :param region: The region of interest in the country (in geospatial optimization)
        :param name:
        """
    
        self.country = country
        self.region = region
        self.name = name
    
        self.calcscache = CalcCellCache()
    
        # Read them into actual data
        try:
            self.demographic_data = DemographicData(databook, self.calcscache)
        except Exception as E:
            raise Exception("Error in databook: %s" % str(E)) from E
    
        try:
>           self.prog_data = ProgramData(databook, self.demographic_data, self.calcscache)

../nutrition/data.py:1004: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/data.py:683: in __init__
    self.validate()
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.data.ProgramData at 0x7fe470920e90>
[<class 'nutrition.data.ProgramData'>]
————————————————————————————————...c10>
                 [<class 'nutritio [...]
————————————————————————————————————————————————————————————————————————


    def validate(self):
        """ Validate program data """
        invalid = []
        for progname in self.base_prog_set:
            cov = self.base_cov[progname]
            if cov < 0 or cov > 1:
                errormsg = _("Baseline coverage is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            sat = self.sat[progname]
            if sat < 0 or sat > 1:
                errormsg = _("Saturation is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            max_inc = self.max_inc[progname]
            if max_inc < 0 or max_inc > 1:
                errormsg = _("Maximum increase is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            max_dec = self.max_dec[progname]
            if max_dec < 0 or max_dec > 1:
                errormsg = _("Maximum decrease is outside the interval (0, 100) for %s") % progname
    
                invalid.append(errormsg)
            cost = self.costs[progname]
            if cost <= 0:
                errormsg = _("Cost is 0 or negative for %s") % progname
                invalid.append(errormsg)
            if progname not in self.prog_target.keys():
                errormsg = _("Target population not defined for %s") % progname
                invalid.append(errormsg)
            elif sum(self.prog_target[progname].values()) == 0:
                errormsg = _("Target population is 0 for %s") % progname
                invalid.append(errormsg)
        if invalid:
            errors = "\n\n".join(invalid)
>           raise Exception(errors)
E           Exception: La population cible est 0 pour Supplémentation équilibrée en énergie et en protéines
E           
E           La population cible est 0 pour Transferts monétaires
E           
E           La population cible est 0 pour Supplémentation en nutriments à base de lipides
E           
E           La population cible est 0 pour Fourniture publique d'aliments complémentaires
E           
E           La population cible est 0 pour Petite quantité de supplémentation en nutriments à base de lipides

../nutrition/data.py:727: Exception

The above exception was the direct cause of the following exception:

path = PosixPath('/home/runner/work/Nutrition/Nutrition/inputs/fr/LiST countries/MYS_databook.xlsx')

    @pytest.mark.parametrize('path', excel_files, ids=lambda x: str(x.relative_to(inputdir)))
    def test_databook(path):
        P = nu.Project("test")
>       P.load_data(inputspath=path)

test_tox_databooks.py:14: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/project.py:175: in load_data
    dataset = Dataset(databook=databook, country=country, region=region, name=name)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.data.Dataset at 0x7fe470437350>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'MYS_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fe4701a1ed0>
country = None, region = None, name = 'MYS_databook'

    def __init__(self, databook: pandas.ExcelFile, country=None, region=None, name=None):
        """
        :param databook: Databook that is being used in the model
        :param country: The country of interest for data
        :param region: The region of interest in the country (in geospatial optimization)
        :param name:
        """
    
        self.country = country
        self.region = region
        self.name = name
    
        self.calcscache = CalcCellCache()
    
        # Read them into actual data
        try:
            self.demographic_data = DemographicData(databook, self.calcscache)
        except Exception as E:
            raise Exception("Error in databook: %s" % str(E)) from E
    
        try:
            self.prog_data = ProgramData(databook, self.demographic_data, self.calcscache)
        except Exception as E:
>           raise Exception("Error in program data: %s" % str(E)) from E
E           Exception: Error in program data: La population cible est 0 pour Supplémentation équilibrée en énergie et en protéines
E           
E           La population cible est 0 pour Transferts monétaires
E           
E           La population cible est 0 pour Supplémentation en nutriments à base de lipides
E           
E           La population cible est 0 pour Fourniture publique d'aliments complémentaires
E           
E           La population cible est 0 pour Petite quantité de supplémentation en nutriments à base de lipides

../nutrition/data.py:1006: Exception

Check failure on line 14 in tests/test_tox_databooks.py

See this annotation in the file changed.

@github-actions github-actions / JUnit Test Report

test_tox_databooks.test_databook[fr/LiST countries/UKR_databook.xlsx] 

Exception: Error in program data: La population cible est 0 pour Supplémentation équilibrée en énergie et en protéines

La population cible est 0 pour Transferts monétaires

La population cible est 0 pour Supplémentation en nutriments à base de lipides

La population cible est 0 pour Fourniture publique d'aliments complémentaires

La population cible est 0 pour Petite quantité de supplémentation en nutriments à base de lipides
Raw output 
self = <nutrition.data.Dataset at 0x7f97d46bf110>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'UKR_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7f97d3f641d0>
country = None, region = None, name = 'UKR_databook'

    def __init__(self, databook: pandas.ExcelFile, country=None, region=None, name=None):
        """
        :param databook: Databook that is being used in the model
        :param country: The country of interest for data
        :param region: The region of interest in the country (in geospatial optimization)
        :param name:
        """
    
        self.country = country
        self.region = region
        self.name = name
    
        self.calcscache = CalcCellCache()
    
        # Read them into actual data
        try:
            self.demographic_data = DemographicData(databook, self.calcscache)
        except Exception as E:
            raise Exception("Error in databook: %s" % str(E)) from E
    
        try:
>           self.prog_data = ProgramData(databook, self.demographic_data, self.calcscache)

../nutrition/data.py:1004: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/data.py:683: in __init__
    self.validate()
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.data.ProgramData at 0x7f97d3d17590>
[<class 'nutrition.data.ProgramData'>]
————————————————————————————————...6d0>
                 [<class 'nutritio [...]
————————————————————————————————————————————————————————————————————————


    def validate(self):
        """ Validate program data """
        invalid = []
        for progname in self.base_prog_set:
            cov = self.base_cov[progname]
            if cov < 0 or cov > 1:
                errormsg = _("Baseline coverage is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            sat = self.sat[progname]
            if sat < 0 or sat > 1:
                errormsg = _("Saturation is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            max_inc = self.max_inc[progname]
            if max_inc < 0 or max_inc > 1:
                errormsg = _("Maximum increase is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            max_dec = self.max_dec[progname]
            if max_dec < 0 or max_dec > 1:
                errormsg = _("Maximum decrease is outside the interval (0, 100) for %s") % progname
    
                invalid.append(errormsg)
            cost = self.costs[progname]
            if cost <= 0:
                errormsg = _("Cost is 0 or negative for %s") % progname
                invalid.append(errormsg)
            if progname not in self.prog_target.keys():
                errormsg = _("Target population not defined for %s") % progname
                invalid.append(errormsg)
            elif sum(self.prog_target[progname].values()) == 0:
                errormsg = _("Target population is 0 for %s") % progname
                invalid.append(errormsg)
        if invalid:
            errors = "\n\n".join(invalid)
>           raise Exception(errors)
E           Exception: La population cible est 0 pour Supplémentation équilibrée en énergie et en protéines
E           
E           La population cible est 0 pour Transferts monétaires
E           
E           La population cible est 0 pour Supplémentation en nutriments à base de lipides
E           
E           La population cible est 0 pour Fourniture publique d'aliments complémentaires
E           
E           La population cible est 0 pour Petite quantité de supplémentation en nutriments à base de lipides

../nutrition/data.py:727: Exception

The above exception was the direct cause of the following exception:

path = PosixPath('/home/runner/work/Nutrition/Nutrition/inputs/fr/LiST countries/UKR_databook.xlsx')

    @pytest.mark.parametrize('path', excel_files, ids=lambda x: str(x.relative_to(inputdir)))
    def test_databook(path):
        P = nu.Project("test")
>       P.load_data(inputspath=path)

test_tox_databooks.py:14: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/project.py:175: in load_data
    dataset = Dataset(databook=databook, country=country, region=region, name=name)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.data.Dataset at 0x7f97d46bf110>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'UKR_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7f97d3f641d0>
country = None, region = None, name = 'UKR_databook'

    def __init__(self, databook: pandas.ExcelFile, country=None, region=None, name=None):
        """
        :param databook: Databook that is being used in the model
        :param country: The country of interest for data
        :param region: The region of interest in the country (in geospatial optimization)
        :param name:
        """
    
        self.country = country
        self.region = region
        self.name = name
    
        self.calcscache = CalcCellCache()
    
        # Read them into actual data
        try:
            self.demographic_data = DemographicData(databook, self.calcscache)
        except Exception as E:
            raise Exception("Error in databook: %s" % str(E)) from E
    
        try:
            self.prog_data = ProgramData(databook, self.demographic_data, self.calcscache)
        except Exception as E:
>           raise Exception("Error in program data: %s" % str(E)) from E
E           Exception: Error in program data: La population cible est 0 pour Supplémentation équilibrée en énergie et en protéines
E           
E           La population cible est 0 pour Transferts monétaires
E           
E           La population cible est 0 pour Supplémentation en nutriments à base de lipides
E           
E           La population cible est 0 pour Fourniture publique d'aliments complémentaires
E           
E           La population cible est 0 pour Petite quantité de supplémentation en nutriments à base de lipides

../nutrition/data.py:1006: Exception

Check failure on line 14 in tests/test_tox_databooks.py

See this annotation in the file changed.

@github-actions github-actions / JUnit Test Report

test_tox_databooks.test_databook[fr/LiST countries/AZE_databook.xlsx] 

Exception: Error in program data: La population cible est 0 pour Supplémentation équilibrée en énergie et en protéines

La population cible est 0 pour Transferts monétaires

La population cible est 0 pour Supplémentation en nutriments à base de lipides

La population cible est 0 pour Fourniture publique d'aliments complémentaires

La population cible est 0 pour Petite quantité de supplémentation en nutriments à base de lipides
Raw output 
self = <nutrition.data.Dataset at 0x7fe470b9acd0>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'AZE_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fe498ecd490>
country = None, region = None, name = 'AZE_databook'

    def __init__(self, databook: pandas.ExcelFile, country=None, region=None, name=None):
        """
        :param databook: Databook that is being used in the model
        :param country: The country of interest for data
        :param region: The region of interest in the country (in geospatial optimization)
        :param name:
        """
    
        self.country = country
        self.region = region
        self.name = name
    
        self.calcscache = CalcCellCache()
    
        # Read them into actual data
        try:
            self.demographic_data = DemographicData(databook, self.calcscache)
        except Exception as E:
            raise Exception("Error in databook: %s" % str(E)) from E
    
        try:
>           self.prog_data = ProgramData(databook, self.demographic_data, self.calcscache)

../nutrition/data.py:1004: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/data.py:683: in __init__
    self.validate()
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.data.ProgramData at 0x7fe470903b90>
[<class 'nutrition.data.ProgramData'>]
————————————————————————————————...c10>
                 [<class 'nutritio [...]
————————————————————————————————————————————————————————————————————————


    def validate(self):
        """ Validate program data """
        invalid = []
        for progname in self.base_prog_set:
            cov = self.base_cov[progname]
            if cov < 0 or cov > 1:
                errormsg = _("Baseline coverage is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            sat = self.sat[progname]
            if sat < 0 or sat > 1:
                errormsg = _("Saturation is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            max_inc = self.max_inc[progname]
            if max_inc < 0 or max_inc > 1:
                errormsg = _("Maximum increase is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            max_dec = self.max_dec[progname]
            if max_dec < 0 or max_dec > 1:
                errormsg = _("Maximum decrease is outside the interval (0, 100) for %s") % progname
    
                invalid.append(errormsg)
            cost = self.costs[progname]
            if cost <= 0:
                errormsg = _("Cost is 0 or negative for %s") % progname
                invalid.append(errormsg)
            if progname not in self.prog_target.keys():
                errormsg = _("Target population not defined for %s") % progname
                invalid.append(errormsg)
            elif sum(self.prog_target[progname].values()) == 0:
                errormsg = _("Target population is 0 for %s") % progname
                invalid.append(errormsg)
        if invalid:
            errors = "\n\n".join(invalid)
>           raise Exception(errors)
E           Exception: La population cible est 0 pour Supplémentation équilibrée en énergie et en protéines
E           
E           La population cible est 0 pour Transferts monétaires
E           
E           La population cible est 0 pour Supplémentation en nutriments à base de lipides
E           
E           La population cible est 0 pour Fourniture publique d'aliments complémentaires
E           
E           La population cible est 0 pour Petite quantité de supplémentation en nutriments à base de lipides

../nutrition/data.py:727: Exception

The above exception was the direct cause of the following exception:

path = PosixPath('/home/runner/work/Nutrition/Nutrition/inputs/fr/LiST countries/AZE_databook.xlsx')

    @pytest.mark.parametrize('path', excel_files, ids=lambda x: str(x.relative_to(inputdir)))
    def test_databook(path):
        P = nu.Project("test")
>       P.load_data(inputspath=path)

test_tox_databooks.py:14: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/project.py:175: in load_data
    dataset = Dataset(databook=databook, country=country, region=region, name=name)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.data.Dataset at 0x7fe470b9acd0>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'AZE_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fe498ecd490>
country = None, region = None, name = 'AZE_databook'

    def __init__(self, databook: pandas.ExcelFile, country=None, region=None, name=None):
        """
        :param databook: Databook that is being used in the model
        :param country: The country of interest for data
        :param region: The region of interest in the country (in geospatial optimization)
        :param name:
        """
    
        self.country = country
        self.region = region
        self.name = name
    
        self.calcscache = CalcCellCache()
    
        # Read them into actual data
        try:
            self.demographic_data = DemographicData(databook, self.calcscache)
        except Exception as E:
            raise Exception("Error in databook: %s" % str(E)) from E
    
        try:
            self.prog_data = ProgramData(databook, self.demographic_data, self.calcscache)
        except Exception as E:
>           raise Exception("Error in program data: %s" % str(E)) from E
E           Exception: Error in program data: La population cible est 0 pour Supplémentation équilibrée en énergie et en protéines
E           
E           La population cible est 0 pour Transferts monétaires
E           
E           La population cible est 0 pour Supplémentation en nutriments à base de lipides
E           
E           La population cible est 0 pour Fourniture publique d'aliments complémentaires
E           
E           La population cible est 0 pour Petite quantité de supplémentation en nutriments à base de lipides

../nutrition/data.py:1006: Exception

Check failure on line 14 in tests/test_tox_databooks.py

See this annotation in the file changed.

@github-actions github-actions / JUnit Test Report

test_tox_databooks.test_databook[fr/LiST countries/MDV_databook.xlsx] 

Exception: Error in program data: La population cible est 0 pour Supplémentation équilibrée en énergie et en protéines

La population cible est 0 pour Transferts monétaires

La population cible est 0 pour Supplémentation en nutriments à base de lipides

La population cible est 0 pour Fourniture publique d'aliments complémentaires

La population cible est 0 pour Petite quantité de supplémentation en nutriments à base de lipides
Raw output 
self = <nutrition.data.Dataset at 0x7fe4707e28d0>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'MDV_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fe47232ef50>
country = None, region = None, name = 'MDV_databook'

    def __init__(self, databook: pandas.ExcelFile, country=None, region=None, name=None):
        """
        :param databook: Databook that is being used in the model
        :param country: The country of interest for data
        :param region: The region of interest in the country (in geospatial optimization)
        :param name:
        """
    
        self.country = country
        self.region = region
        self.name = name
    
        self.calcscache = CalcCellCache()
    
        # Read them into actual data
        try:
            self.demographic_data = DemographicData(databook, self.calcscache)
        except Exception as E:
            raise Exception("Error in databook: %s" % str(E)) from E
    
        try:
>           self.prog_data = ProgramData(databook, self.demographic_data, self.calcscache)

../nutrition/data.py:1004: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/data.py:683: in __init__
    self.validate()
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.data.ProgramData at 0x7fe46fbeab10>
[<class 'nutrition.data.ProgramData'>]
————————————————————————————————...ed0>
                 [<class 'nutritio [...]
————————————————————————————————————————————————————————————————————————


    def validate(self):
        """ Validate program data """
        invalid = []
        for progname in self.base_prog_set:
            cov = self.base_cov[progname]
            if cov < 0 or cov > 1:
                errormsg = _("Baseline coverage is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            sat = self.sat[progname]
            if sat < 0 or sat > 1:
                errormsg = _("Saturation is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            max_inc = self.max_inc[progname]
            if max_inc < 0 or max_inc > 1:
                errormsg = _("Maximum increase is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            max_dec = self.max_dec[progname]
            if max_dec < 0 or max_dec > 1:
                errormsg = _("Maximum decrease is outside the interval (0, 100) for %s") % progname
    
                invalid.append(errormsg)
            cost = self.costs[progname]
            if cost <= 0:
                errormsg = _("Cost is 0 or negative for %s") % progname
                invalid.append(errormsg)
            if progname not in self.prog_target.keys():
                errormsg = _("Target population not defined for %s") % progname
                invalid.append(errormsg)
            elif sum(self.prog_target[progname].values()) == 0:
                errormsg = _("Target population is 0 for %s") % progname
                invalid.append(errormsg)
        if invalid:
            errors = "\n\n".join(invalid)
>           raise Exception(errors)
E           Exception: La population cible est 0 pour Supplémentation équilibrée en énergie et en protéines
E           
E           La population cible est 0 pour Transferts monétaires
E           
E           La population cible est 0 pour Supplémentation en nutriments à base de lipides
E           
E           La population cible est 0 pour Fourniture publique d'aliments complémentaires
E           
E           La population cible est 0 pour Petite quantité de supplémentation en nutriments à base de lipides

../nutrition/data.py:727: Exception

The above exception was the direct cause of the following exception:

path = PosixPath('/home/runner/work/Nutrition/Nutrition/inputs/fr/LiST countries/MDV_databook.xlsx')

    @pytest.mark.parametrize('path', excel_files, ids=lambda x: str(x.relative_to(inputdir)))
    def test_databook(path):
        P = nu.Project("test")
>       P.load_data(inputspath=path)

test_tox_databooks.py:14: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/project.py:175: in load_data
    dataset = Dataset(databook=databook, country=country, region=region, name=name)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.data.Dataset at 0x7fe4707e28d0>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'MDV_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fe47232ef50>
country = None, region = None, name = 'MDV_databook'

    def __init__(self, databook: pandas.ExcelFile, country=None, region=None, name=None):
        """
        :param databook: Databook that is being used in the model
        :param country: The country of interest for data
        :param region: The region of interest in the country (in geospatial optimization)
        :param name:
        """
    
        self.country = country
        self.region = region
        self.name = name
    
        self.calcscache = CalcCellCache()
    
        # Read them into actual data
        try:
            self.demographic_data = DemographicData(databook, self.calcscache)
        except Exception as E:
            raise Exception("Error in databook: %s" % str(E)) from E
    
        try:
            self.prog_data = ProgramData(databook, self.demographic_data, self.calcscache)
        except Exception as E:
>           raise Exception("Error in program data: %s" % str(E)) from E
E           Exception: Error in program data: La population cible est 0 pour Supplémentation équilibrée en énergie et en protéines
E           
E           La population cible est 0 pour Transferts monétaires
E           
E           La population cible est 0 pour Supplémentation en nutriments à base de lipides
E           
E           La population cible est 0 pour Fourniture publique d'aliments complémentaires
E           
E           La population cible est 0 pour Petite quantité de supplémentation en nutriments à base de lipides

../nutrition/data.py:1006: Exception

Check failure on line 14 in tests/test_tox_databooks.py

See this annotation in the file changed.

@github-actions github-actions / JUnit Test Report

test_tox_databooks.test_databook[fr/LiST countries/BLR_databook.xlsx] 

Exception: Error in program data: La population cible est 0 pour Supplémentation équilibrée en énergie et en protéines

La population cible est 0 pour Transferts monétaires

La population cible est 0 pour Supplémentation en nutriments à base de lipides

La population cible est 0 pour Fourniture publique d'aliments complémentaires

La population cible est 0 pour Petite quantité de supplémentation en nutriments à base de lipides
Raw output 
self = <nutrition.data.Dataset at 0x7f97d49d26d0>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'BLR_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7f97d3ff1790>
country = None, region = None, name = 'BLR_databook'

    def __init__(self, databook: pandas.ExcelFile, country=None, region=None, name=None):
        """
        :param databook: Databook that is being used in the model
        :param country: The country of interest for data
        :param region: The region of interest in the country (in geospatial optimization)
        :param name:
        """
    
        self.country = country
        self.region = region
        self.name = name
    
        self.calcscache = CalcCellCache()
    
        # Read them into actual data
        try:
            self.demographic_data = DemographicData(databook, self.calcscache)
        except Exception as E:
            raise Exception("Error in databook: %s" % str(E)) from E
    
        try:
>           self.prog_data = ProgramData(databook, self.demographic_data, self.calcscache)

../nutrition/data.py:1004: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/data.py:683: in __init__
    self.validate()
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.data.ProgramData at 0x7f97d4213490>
[<class 'nutrition.data.ProgramData'>]
————————————————————————————————...e90>
                 [<class 'nutritio [...]
————————————————————————————————————————————————————————————————————————


    def validate(self):
        """ Validate program data """
        invalid = []
        for progname in self.base_prog_set:
            cov = self.base_cov[progname]
            if cov < 0 or cov > 1:
                errormsg = _("Baseline coverage is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            sat = self.sat[progname]
            if sat < 0 or sat > 1:
                errormsg = _("Saturation is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            max_inc = self.max_inc[progname]
            if max_inc < 0 or max_inc > 1:
                errormsg = _("Maximum increase is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            max_dec = self.max_dec[progname]
            if max_dec < 0 or max_dec > 1:
                errormsg = _("Maximum decrease is outside the interval (0, 100) for %s") % progname
    
                invalid.append(errormsg)
            cost = self.costs[progname]
            if cost <= 0:
                errormsg = _("Cost is 0 or negative for %s") % progname
                invalid.append(errormsg)
            if progname not in self.prog_target.keys():
                errormsg = _("Target population not defined for %s") % progname
                invalid.append(errormsg)
            elif sum(self.prog_target[progname].values()) == 0:
                errormsg = _("Target population is 0 for %s") % progname
                invalid.append(errormsg)
        if invalid:
            errors = "\n\n".join(invalid)
>           raise Exception(errors)
E           Exception: La population cible est 0 pour Supplémentation équilibrée en énergie et en protéines
E           
E           La population cible est 0 pour Transferts monétaires
E           
E           La population cible est 0 pour Supplémentation en nutriments à base de lipides
E           
E           La population cible est 0 pour Fourniture publique d'aliments complémentaires
E           
E           La population cible est 0 pour Petite quantité de supplémentation en nutriments à base de lipides

../nutrition/data.py:727: Exception

The above exception was the direct cause of the following exception:

path = PosixPath('/home/runner/work/Nutrition/Nutrition/inputs/fr/LiST countries/BLR_databook.xlsx')

    @pytest.mark.parametrize('path', excel_files, ids=lambda x: str(x.relative_to(inputdir)))
    def test_databook(path):
        P = nu.Project("test")
>       P.load_data(inputspath=path)

test_tox_databooks.py:14: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/project.py:175: in load_data
    dataset = Dataset(databook=databook, country=country, region=region, name=name)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.data.Dataset at 0x7f97d49d26d0>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'BLR_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7f97d3ff1790>
country = None, region = None, name = 'BLR_databook'

    def __init__(self, databook: pandas.ExcelFile, country=None, region=None, name=None):
        """
        :param databook: Databook that is being used in the model
        :param country: The country of interest for data
        :param region: The region of interest in the country (in geospatial optimization)
        :param name:
        """
    
        self.country = country
        self.region = region
        self.name = name
    
        self.calcscache = CalcCellCache()
    
        # Read them into actual data
        try:
            self.demographic_data = DemographicData(databook, self.calcscache)
        except Exception as E:
            raise Exception("Error in databook: %s" % str(E)) from E
    
        try:
            self.prog_data = ProgramData(databook, self.demographic_data, self.calcscache)
        except Exception as E:
>           raise Exception("Error in program data: %s" % str(E)) from E
E           Exception: Error in program data: La population cible est 0 pour Supplémentation équilibrée en énergie et en protéines
E           
E           La population cible est 0 pour Transferts monétaires
E           
E           La population cible est 0 pour Supplémentation en nutriments à base de lipides
E           
E           La population cible est 0 pour Fourniture publique d'aliments complémentaires
E           
E           La population cible est 0 pour Petite quantité de supplémentation en nutriments à base de lipides

../nutrition/data.py:1006: Exception

Check failure on line 14 in tests/test_tox_databooks.py

See this annotation in the file changed.

@github-actions github-actions / JUnit Test Report

test_tox_databooks.test_databook[fr/LiST countries/KAZ_databook.xlsx] 

Exception: Error in program data: La population cible est 0 pour Supplémentation équilibrée en énergie et en protéines

La population cible est 0 pour Transferts monétaires

La population cible est 0 pour Supplémentation en nutriments à base de lipides

La population cible est 0 pour Fourniture publique d'aliments complémentaires

La population cible est 0 pour Petite quantité de supplémentation en nutriments à base de lipides
Raw output 
self = <nutrition.data.Dataset at 0x7f97d42c2550>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'KAZ_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7f97d48ab0d0>
country = None, region = None, name = 'KAZ_databook'

    def __init__(self, databook: pandas.ExcelFile, country=None, region=None, name=None):
        """
        :param databook: Databook that is being used in the model
        :param country: The country of interest for data
        :param region: The region of interest in the country (in geospatial optimization)
        :param name:
        """
    
        self.country = country
        self.region = region
        self.name = name
    
        self.calcscache = CalcCellCache()
    
        # Read them into actual data
        try:
            self.demographic_data = DemographicData(databook, self.calcscache)
        except Exception as E:
            raise Exception("Error in databook: %s" % str(E)) from E
    
        try:
>           self.prog_data = ProgramData(databook, self.demographic_data, self.calcscache)

../nutrition/data.py:1004: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/data.py:683: in __init__
    self.validate()
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.data.ProgramData at 0x7f97d48bdd90>
[<class 'nutrition.data.ProgramData'>]
————————————————————————————————...710>
                 [<class 'nutritio [...]
————————————————————————————————————————————————————————————————————————


    def validate(self):
        """ Validate program data """
        invalid = []
        for progname in self.base_prog_set:
            cov = self.base_cov[progname]
            if cov < 0 or cov > 1:
                errormsg = _("Baseline coverage is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            sat = self.sat[progname]
            if sat < 0 or sat > 1:
                errormsg = _("Saturation is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            max_inc = self.max_inc[progname]
            if max_inc < 0 or max_inc > 1:
                errormsg = _("Maximum increase is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            max_dec = self.max_dec[progname]
            if max_dec < 0 or max_dec > 1:
                errormsg = _("Maximum decrease is outside the interval (0, 100) for %s") % progname
    
                invalid.append(errormsg)
            cost = self.costs[progname]
            if cost <= 0:
                errormsg = _("Cost is 0 or negative for %s") % progname
                invalid.append(errormsg)
            if progname not in self.prog_target.keys():
                errormsg = _("Target population not defined for %s") % progname
                invalid.append(errormsg)
            elif sum(self.prog_target[progname].values()) == 0:
                errormsg = _("Target population is 0 for %s") % progname
                invalid.append(errormsg)
        if invalid:
            errors = "\n\n".join(invalid)
>           raise Exception(errors)
E           Exception: La population cible est 0 pour Supplémentation équilibrée en énergie et en protéines
E           
E           La population cible est 0 pour Transferts monétaires
E           
E           La population cible est 0 pour Supplémentation en nutriments à base de lipides
E           
E           La population cible est 0 pour Fourniture publique d'aliments complémentaires
E           
E           La population cible est 0 pour Petite quantité de supplémentation en nutriments à base de lipides

../nutrition/data.py:727: Exception

The above exception was the direct cause of the following exception:

path = PosixPath('/home/runner/work/Nutrition/Nutrition/inputs/fr/LiST countries/KAZ_databook.xlsx')

    @pytest.mark.parametrize('path', excel_files, ids=lambda x: str(x.relative_to(inputdir)))
    def test_databook(path):
        P = nu.Project("test")
>       P.load_data(inputspath=path)

test_tox_databooks.py:14: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/project.py:175: in load_data
    dataset = Dataset(databook=databook, country=country, region=region, name=name)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.data.Dataset at 0x7f97d42c2550>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'KAZ_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7f97d48ab0d0>
country = None, region = None, name = 'KAZ_databook'

    def __init__(self, databook: pandas.ExcelFile, country=None, region=None, name=None):
        """
        :param databook: Databook that is being used in the model
        :param country: The country of interest for data
        :param region: The region of interest in the country (in geospatial optimization)
        :param name:
        """
    
        self.country = country
        self.region = region
        self.name = name
    
        self.calcscache = CalcCellCache()
    
        # Read them into actual data
        try:
            self.demographic_data = DemographicData(databook, self.calcscache)
        except Exception as E:
            raise Exception("Error in databook: %s" % str(E)) from E
    
        try:
            self.prog_data = ProgramData(databook, self.demographic_data, self.calcscache)
        except Exception as E:
>           raise Exception("Error in program data: %s" % str(E)) from E
E           Exception: Error in program data: La population cible est 0 pour Supplémentation équilibrée en énergie et en protéines
E           
E           La population cible est 0 pour Transferts monétaires
E           
E           La population cible est 0 pour Supplémentation en nutriments à base de lipides
E           
E           La population cible est 0 pour Fourniture publique d'aliments complémentaires
E           
E           La population cible est 0 pour Petite quantité de supplémentation en nutriments à base de lipides

../nutrition/data.py:1006: Exception

Check failure on line 14 in tests/test_tox_databooks.py

See this annotation in the file changed.

@github-actions github-actions / JUnit Test Report

test_tox_databooks.test_databook[fr/LiST countries/THA_databook.xlsx] 

Exception: Error in program data: La population cible est 0 pour Supplémentation équilibrée en énergie et en protéines

La population cible est 0 pour Transferts monétaires

La population cible est 0 pour Supplémentation en nutriments à base de lipides

La population cible est 0 pour Fourniture publique d'aliments complémentaires

La population cible est 0 pour Petite quantité de supplémentation en nutriments à base de lipides
Raw output 
self = <nutrition.data.Dataset at 0x7f97d4583a10>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'THA_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7f97d4552050>
country = None, region = None, name = 'THA_databook'

    def __init__(self, databook: pandas.ExcelFile, country=None, region=None, name=None):
        """
        :param databook: Databook that is being used in the model
        :param country: The country of interest for data
        :param region: The region of interest in the country (in geospatial optimization)
        :param name:
        """
    
        self.country = country
        self.region = region
        self.name = name
    
        self.calcscache = CalcCellCache()
    
        # Read them into actual data
        try:
            self.demographic_data = DemographicData(databook, self.calcscache)
        except Exception as E:
            raise Exception("Error in databook: %s" % str(E)) from E
    
        try:
>           self.prog_data = ProgramData(databook, self.demographic_data, self.calcscache)

../nutrition/data.py:1004: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/data.py:683: in __init__
    self.validate()
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.data.ProgramData at 0x7f97d4812150>
[<class 'nutrition.data.ProgramData'>]
————————————————————————————————...710>
                 [<class 'nutritio [...]
————————————————————————————————————————————————————————————————————————


    def validate(self):
        """ Validate program data """
        invalid = []
        for progname in self.base_prog_set:
            cov = self.base_cov[progname]
            if cov < 0 or cov > 1:
                errormsg = _("Baseline coverage is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            sat = self.sat[progname]
            if sat < 0 or sat > 1:
                errormsg = _("Saturation is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            max_inc = self.max_inc[progname]
            if max_inc < 0 or max_inc > 1:
                errormsg = _("Maximum increase is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            max_dec = self.max_dec[progname]
            if max_dec < 0 or max_dec > 1:
                errormsg = _("Maximum decrease is outside the interval (0, 100) for %s") % progname
    
                invalid.append(errormsg)
            cost = self.costs[progname]
            if cost <= 0:
                errormsg = _("Cost is 0 or negative for %s") % progname
                invalid.append(errormsg)
            if progname not in self.prog_target.keys():
                errormsg = _("Target population not defined for %s") % progname
                invalid.append(errormsg)
            elif sum(self.prog_target[progname].values()) == 0:
                errormsg = _("Target population is 0 for %s") % progname
                invalid.append(errormsg)
        if invalid:
            errors = "\n\n".join(invalid)
>           raise Exception(errors)
E           Exception: La population cible est 0 pour Supplémentation équilibrée en énergie et en protéines
E           
E           La population cible est 0 pour Transferts monétaires
E           
E           La population cible est 0 pour Supplémentation en nutriments à base de lipides
E           
E           La population cible est 0 pour Fourniture publique d'aliments complémentaires
E           
E           La population cible est 0 pour Petite quantité de supplémentation en nutriments à base de lipides

../nutrition/data.py:727: Exception

The above exception was the direct cause of the following exception:

path = PosixPath('/home/runner/work/Nutrition/Nutrition/inputs/fr/LiST countries/THA_databook.xlsx')

    @pytest.mark.parametrize('path', excel_files, ids=lambda x: str(x.relative_to(inputdir)))
    def test_databook(path):
        P = nu.Project("test")
>       P.load_data(inputspath=path)

test_tox_databooks.py:14: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/project.py:175: in load_data
    dataset = Dataset(databook=databook, country=country, region=region, name=name)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.data.Dataset at 0x7f97d4583a10>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'THA_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7f97d4552050>
country = None, region = None, name = 'THA_databook'

    def __init__(self, databook: pandas.ExcelFile, country=None, region=None, name=None):
        """
        :param databook: Databook that is being used in the model
        :param country: The country of interest for data
        :param region: The region of interest in the country (in geospatial optimization)
        :param name:
        """
    
        self.country = country
        self.region = region
        self.name = name
    
        self.calcscache = CalcCellCache()
    
        # Read them into actual data
        try:
            self.demographic_data = DemographicData(databook, self.calcscache)
        except Exception as E:
            raise Exception("Error in databook: %s" % str(E)) from E
    
        try:
            self.prog_data = ProgramData(databook, self.demographic_data, self.calcscache)
        except Exception as E:
>           raise Exception("Error in program data: %s" % str(E)) from E
E           Exception: Error in program data: La population cible est 0 pour Supplémentation équilibrée en énergie et en protéines
E           
E           La population cible est 0 pour Transferts monétaires
E           
E           La population cible est 0 pour Supplémentation en nutriments à base de lipides
E           
E           La population cible est 0 pour Fourniture publique d'aliments complémentaires
E           
E           La population cible est 0 pour Petite quantité de supplémentation en nutriments à base de lipides

../nutrition/data.py:1006: Exception

Check failure on line 14 in tests/test_tox_databooks.py

See this annotation in the file changed.

@github-actions github-actions / JUnit Test Report

test_tox_databooks.test_databook[en/LiST countries/KAZ_databook.xlsx] 

Exception: Error in program data: Target population is 0 for Balanced energy-protein supplementation

Target population is 0 for Cash transfers

Target population is 0 for Lipid-based nutrition supplements

Target population is 0 for Public provision of complementary foods

Target population is 0 for Small quantity lipid-based nutrition supplements
Raw output 
self = <nutrition.data.Dataset at 0x7fe46fbf5650>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'KAZ_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fe47023c4d0>
country = None, region = None, name = 'KAZ_databook'

    def __init__(self, databook: pandas.ExcelFile, country=None, region=None, name=None):
        """
        :param databook: Databook that is being used in the model
        :param country: The country of interest for data
        :param region: The region of interest in the country (in geospatial optimization)
        :param name:
        """
    
        self.country = country
        self.region = region
        self.name = name
    
        self.calcscache = CalcCellCache()
    
        # Read them into actual data
        try:
            self.demographic_data = DemographicData(databook, self.calcscache)
        except Exception as E:
            raise Exception("Error in databook: %s" % str(E)) from E
    
        try:
>           self.prog_data = ProgramData(databook, self.demographic_data, self.calcscache)

../nutrition/data.py:1004: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/data.py:683: in __init__
    self.validate()
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.data.ProgramData at 0x7fe47094d1d0>
[<class 'nutrition.data.ProgramData'>]
————————————————————————————————...ed0>
                 [<class 'nutritio [...]
————————————————————————————————————————————————————————————————————————


    def validate(self):
        """ Validate program data """
        invalid = []
        for progname in self.base_prog_set:
            cov = self.base_cov[progname]
            if cov < 0 or cov > 1:
                errormsg = _("Baseline coverage is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            sat = self.sat[progname]
            if sat < 0 or sat > 1:
                errormsg = _("Saturation is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            max_inc = self.max_inc[progname]
            if max_inc < 0 or max_inc > 1:
                errormsg = _("Maximum increase is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            max_dec = self.max_dec[progname]
            if max_dec < 0 or max_dec > 1:
                errormsg = _("Maximum decrease is outside the interval (0, 100) for %s") % progname
    
                invalid.append(errormsg)
            cost = self.costs[progname]
            if cost <= 0:
                errormsg = _("Cost is 0 or negative for %s") % progname
                invalid.append(errormsg)
            if progname not in self.prog_target.keys():
                errormsg = _("Target population not defined for %s") % progname
                invalid.append(errormsg)
            elif sum(self.prog_target[progname].values()) == 0:
                errormsg = _("Target population is 0 for %s") % progname
                invalid.append(errormsg)
        if invalid:
            errors = "\n\n".join(invalid)
>           raise Exception(errors)
E           Exception: Target population is 0 for Balanced energy-protein supplementation
E           
E           Target population is 0 for Cash transfers
E           
E           Target population is 0 for Lipid-based nutrition supplements
E           
E           Target population is 0 for Public provision of complementary foods
E           
E           Target population is 0 for Small quantity lipid-based nutrition supplements

../nutrition/data.py:727: Exception

The above exception was the direct cause of the following exception:

path = PosixPath('/home/runner/work/Nutrition/Nutrition/inputs/en/LiST countries/KAZ_databook.xlsx')

    @pytest.mark.parametrize('path', excel_files, ids=lambda x: str(x.relative_to(inputdir)))
    def test_databook(path):
        P = nu.Project("test")
>       P.load_data(inputspath=path)

test_tox_databooks.py:14: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/project.py:175: in load_data
    dataset = Dataset(databook=databook, country=country, region=region, name=name)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.data.Dataset at 0x7fe46fbf5650>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'KAZ_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fe47023c4d0>
country = None, region = None, name = 'KAZ_databook'

    def __init__(self, databook: pandas.ExcelFile, country=None, region=None, name=None):
        """
        :param databook: Databook that is being used in the model
        :param country: The country of interest for data
        :param region: The region of interest in the country (in geospatial optimization)
        :param name:
        """
    
        self.country = country
        self.region = region
        self.name = name
    
        self.calcscache = CalcCellCache()
    
        # Read them into actual data
        try:
            self.demographic_data = DemographicData(databook, self.calcscache)
        except Exception as E:
            raise Exception("Error in databook: %s" % str(E)) from E
    
        try:
            self.prog_data = ProgramData(databook, self.demographic_data, self.calcscache)
        except Exception as E:
>           raise Exception("Error in program data: %s" % str(E)) from E
E           Exception: Error in program data: Target population is 0 for Balanced energy-protein supplementation
E           
E           Target population is 0 for Cash transfers
E           
E           Target population is 0 for Lipid-based nutrition supplements
E           
E           Target population is 0 for Public provision of complementary foods
E           
E           Target population is 0 for Small quantity lipid-based nutrition supplements

../nutrition/data.py:1006: Exception

Check failure on line 14 in tests/test_tox_databooks.py

See this annotation in the file changed.

@github-actions github-actions / JUnit Test Report

test_tox_databooks.test_databook[en/LiST countries/THA_databook.xlsx] 

Exception: Error in program data: Target population is 0 for Balanced energy-protein supplementation

Target population is 0 for Cash transfers

Target population is 0 for Lipid-based nutrition supplements

Target population is 0 for Public provision of complementary foods

Target population is 0 for Small quantity lipid-based nutrition supplements
Raw output 
self = <nutrition.data.Dataset at 0x7fe47096e690>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'THA_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fe470156490>
country = None, region = None, name = 'THA_databook'

    def __init__(self, databook: pandas.ExcelFile, country=None, region=None, name=None):
        """
        :param databook: Databook that is being used in the model
        :param country: The country of interest for data
        :param region: The region of interest in the country (in geospatial optimization)
        :param name:
        """
    
        self.country = country
        self.region = region
        self.name = name
    
        self.calcscache = CalcCellCache()
    
        # Read them into actual data
        try:
            self.demographic_data = DemographicData(databook, self.calcscache)
        except Exception as E:
            raise Exception("Error in databook: %s" % str(E)) from E
    
        try:
>           self.prog_data = ProgramData(databook, self.demographic_data, self.calcscache)

../nutrition/data.py:1004: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/data.py:683: in __init__
    self.validate()
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.data.ProgramData at 0x7fe470461f10>
[<class 'nutrition.data.ProgramData'>]
————————————————————————————————...e90>
                 [<class 'nutritio [...]
————————————————————————————————————————————————————————————————————————


    def validate(self):
        """ Validate program data """
        invalid = []
        for progname in self.base_prog_set:
            cov = self.base_cov[progname]
            if cov < 0 or cov > 1:
                errormsg = _("Baseline coverage is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            sat = self.sat[progname]
            if sat < 0 or sat > 1:
                errormsg = _("Saturation is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            max_inc = self.max_inc[progname]
            if max_inc < 0 or max_inc > 1:
                errormsg = _("Maximum increase is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            max_dec = self.max_dec[progname]
            if max_dec < 0 or max_dec > 1:
                errormsg = _("Maximum decrease is outside the interval (0, 100) for %s") % progname
    
                invalid.append(errormsg)
            cost = self.costs[progname]
            if cost <= 0:
                errormsg = _("Cost is 0 or negative for %s") % progname
                invalid.append(errormsg)
            if progname not in self.prog_target.keys():
                errormsg = _("Target population not defined for %s") % progname
                invalid.append(errormsg)
            elif sum(self.prog_target[progname].values()) == 0:
                errormsg = _("Target population is 0 for %s") % progname
                invalid.append(errormsg)
        if invalid:
            errors = "\n\n".join(invalid)
>           raise Exception(errors)
E           Exception: Target population is 0 for Balanced energy-protein supplementation
E           
E           Target population is 0 for Cash transfers
E           
E           Target population is 0 for Lipid-based nutrition supplements
E           
E           Target population is 0 for Public provision of complementary foods
E           
E           Target population is 0 for Small quantity lipid-based nutrition supplements

../nutrition/data.py:727: Exception

The above exception was the direct cause of the following exception:

path = PosixPath('/home/runner/work/Nutrition/Nutrition/inputs/en/LiST countries/THA_databook.xlsx')

    @pytest.mark.parametrize('path', excel_files, ids=lambda x: str(x.relative_to(inputdir)))
    def test_databook(path):
        P = nu.Project("test")
>       P.load_data(inputspath=path)

test_tox_databooks.py:14: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/project.py:175: in load_data
    dataset = Dataset(databook=databook, country=country, region=region, name=name)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.data.Dataset at 0x7fe47096e690>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'THA_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fe470156490>
country = None, region = None, name = 'THA_databook'

    def __init__(self, databook: pandas.ExcelFile, country=None, region=None, name=None):
        """
        :param databook: Databook that is being used in the model
        :param country: The country of interest for data
        :param region: The region of interest in the country (in geospatial optimization)
        :param name:
        """
    
        self.country = country
        self.region = region
        self.name = name
    
        self.calcscache = CalcCellCache()
    
        # Read them into actual data
        try:
            self.demographic_data = DemographicData(databook, self.calcscache)
        except Exception as E:
            raise Exception("Error in databook: %s" % str(E)) from E
    
        try:
            self.prog_data = ProgramData(databook, self.demographic_data, self.calcscache)
        except Exception as E:
>           raise Exception("Error in program data: %s" % str(E)) from E
E           Exception: Error in program data: Target population is 0 for Balanced energy-protein supplementation
E           
E           Target population is 0 for Cash transfers
E           
E           Target population is 0 for Lipid-based nutrition supplements
E           
E           Target population is 0 for Public provision of complementary foods
E           
E           Target population is 0 for Small quantity lipid-based nutrition supplements

../nutrition/data.py:1006: Exception

Check failure on line 14 in tests/test_tox_databooks.py

See this annotation in the file changed.

@github-actions github-actions / JUnit Test Report

test_tox_databooks.test_databook[en/LiST countries/BIH_databook.xlsx] 

ZeroDivisionError: float division by zero
Raw output 
path = PosixPath('/home/runner/work/Nutrition/Nutrition/inputs/en/LiST countries/BIH_databook.xlsx')

    @pytest.mark.parametrize('path', excel_files, ids=lambda x: str(x.relative_to(inputdir)))
    def test_databook(path):
        P = nu.Project("test")
>       P.load_data(inputspath=path)

test_tox_databooks.py:14: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/project.py:184: in load_data
    self.add_model(name, growth=growth)  # add model associated with the dataset or datasets
../nutrition/utils.py:85: in wrapper
    return f(*args, **kwargs)
../nutrition/project.py:372: in add_model
    model = Model(dataset, t, growth=growth)
../nutrition/model.py:25: in __init__
    self._set_progs(self.prog_info.base_progset())
../nutrition/model.py:71: in _set_progs
    self.prog_info.set_init_covs(self.pops)
../nutrition/programs.py:661: in set_init_covs
    prog.set_pop_sizes(pops)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.programs.Program at 0x7fe470353bd0>
[<class 'nutrition.programs.Program'>, <class 'sciris.sc_printing.prett...  6,  7,  8,  9, 10,
                    11])
————————————————————————————————————————————————————————————————————————

pops = [<nutrition.populations.Children at 0x7fe4707e3f10>
[<class 'nutrition.populations.Children'>, <class 'nutrition.popul...90>
              [<class 'nutrition.s [...]
————————————————————————————————————————————————————————————————————————
]

    def set_pop_sizes(self, pops):
        self._set_restrpop(pops)
        self._set_unrestrpop(pops)
        # this accounts for different fractions within age bands
>       self.sat_unrestr = self.restr_popsize / self.unrestr_popsize
E       ZeroDivisionError: float division by zero

../nutrition/programs.py:112: ZeroDivisionError

Check failure on line 14 in tests/test_tox_databooks.py

See this annotation in the file changed.

@github-actions github-actions / JUnit Test Report

test_tox_databooks.test_databook[en/LiST countries/TUR_databook.xlsx] 

ZeroDivisionError: float division by zero
Raw output 
path = PosixPath('/home/runner/work/Nutrition/Nutrition/inputs/en/LiST countries/TUR_databook.xlsx')

    @pytest.mark.parametrize('path', excel_files, ids=lambda x: str(x.relative_to(inputdir)))
    def test_databook(path):
        P = nu.Project("test")
>       P.load_data(inputspath=path)

test_tox_databooks.py:14: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/project.py:184: in load_data
    self.add_model(name, growth=growth)  # add model associated with the dataset or datasets
../nutrition/utils.py:85: in wrapper
    return f(*args, **kwargs)
../nutrition/project.py:372: in add_model
    model = Model(dataset, t, growth=growth)
../nutrition/model.py:25: in __init__
    self._set_progs(self.prog_info.base_progset())
../nutrition/model.py:71: in _set_progs
    self.prog_info.set_init_covs(self.pops)
../nutrition/programs.py:661: in set_init_covs
    prog.set_pop_sizes(pops)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.programs.Program at 0x7fe46ff39ed0>
[<class 'nutrition.programs.Program'>, <class 'sciris.sc_printing.prett...  6,  7,  8,  9, 10,
                    11])
————————————————————————————————————————————————————————————————————————

pops = [<nutrition.populations.Children at 0x7fe46fc5bf10>
[<class 'nutrition.populations.Children'>, <class 'nutrition.popul...90>
              [<class 'nutrition.s [...]
————————————————————————————————————————————————————————————————————————
]

    def set_pop_sizes(self, pops):
        self._set_restrpop(pops)
        self._set_unrestrpop(pops)
        # this accounts for different fractions within age bands
>       self.sat_unrestr = self.restr_popsize / self.unrestr_popsize
E       ZeroDivisionError: float division by zero

../nutrition/programs.py:112: ZeroDivisionError

Check failure on line 14 in tests/test_tox_databooks.py

See this annotation in the file changed.

@github-actions github-actions / JUnit Test Report

test_tox_databooks.test_databook[fr/LiST countries/JOR_databook.xlsx] 

ZeroDivisionError: float division by zero
Raw output 
path = PosixPath('/home/runner/work/Nutrition/Nutrition/inputs/fr/LiST countries/JOR_databook.xlsx')

    @pytest.mark.parametrize('path', excel_files, ids=lambda x: str(x.relative_to(inputdir)))
    def test_databook(path):
        P = nu.Project("test")
>       P.load_data(inputspath=path)

test_tox_databooks.py:14: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/project.py:184: in load_data
    self.add_model(name, growth=growth)  # add model associated with the dataset or datasets
../nutrition/utils.py:85: in wrapper
    return f(*args, **kwargs)
../nutrition/project.py:372: in add_model
    model = Model(dataset, t, growth=growth)
../nutrition/model.py:25: in __init__
    self._set_progs(self.prog_info.base_progset())
../nutrition/model.py:71: in _set_progs
    self.prog_info.set_init_covs(self.pops)
../nutrition/programs.py:661: in set_init_covs
    prog.set_pop_sizes(pops)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.programs.Program at 0x7f97d3666bd0>
[<class 'nutrition.programs.Program'>, <class 'sciris.sc_printing.prett...  6,  7,  8,  9, 10,
                    11])
————————————————————————————————————————————————————————————————————————

pops = [<nutrition.populations.Children at 0x7f97d377a210>
[<class 'nutrition.populations.Children'>, <class 'nutrition.popul...10>
              [<class 'nutrition.s [...]
————————————————————————————————————————————————————————————————————————
]

    def set_pop_sizes(self, pops):
        self._set_restrpop(pops)
        self._set_unrestrpop(pops)
        # this accounts for different fractions within age bands
>       self.sat_unrestr = self.restr_popsize / self.unrestr_popsize
E       ZeroDivisionError: float division by zero

../nutrition/programs.py:112: ZeroDivisionError

Check failure on line 14 in tests/test_tox_databooks.py

See this annotation in the file changed.

@github-actions github-actions / JUnit Test Report

test_tox_databooks.test_databook[fr/LiST countries/RUS_databook.xlsx] 

Exception: Error in program data: La population cible est 0 pour Supplémentation équilibrée en énergie et en protéines

La population cible est 0 pour Transferts monétaires

La population cible est 0 pour Supplémentation en nutriments à base de lipides

La population cible est 0 pour Fourniture publique d'aliments complémentaires

La population cible est 0 pour Petite quantité de supplémentation en nutriments à base de lipides
Raw output 
self = <nutrition.data.Dataset at 0x7f97d3a7d750>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'RUS_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7f97d3a7da90>
country = None, region = None, name = 'RUS_databook'

    def __init__(self, databook: pandas.ExcelFile, country=None, region=None, name=None):
        """
        :param databook: Databook that is being used in the model
        :param country: The country of interest for data
        :param region: The region of interest in the country (in geospatial optimization)
        :param name:
        """
    
        self.country = country
        self.region = region
        self.name = name
    
        self.calcscache = CalcCellCache()
    
        # Read them into actual data
        try:
            self.demographic_data = DemographicData(databook, self.calcscache)
        except Exception as E:
            raise Exception("Error in databook: %s" % str(E)) from E
    
        try:
>           self.prog_data = ProgramData(databook, self.demographic_data, self.calcscache)

../nutrition/data.py:1004: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/data.py:683: in __init__
    self.validate()
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.data.ProgramData at 0x7f97d35940d0>
[<class 'nutrition.data.ProgramData'>]
————————————————————————————————...710>
                 [<class 'nutritio [...]
————————————————————————————————————————————————————————————————————————


    def validate(self):
        """ Validate program data """
        invalid = []
        for progname in self.base_prog_set:
            cov = self.base_cov[progname]
            if cov < 0 or cov > 1:
                errormsg = _("Baseline coverage is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            sat = self.sat[progname]
            if sat < 0 or sat > 1:
                errormsg = _("Saturation is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            max_inc = self.max_inc[progname]
            if max_inc < 0 or max_inc > 1:
                errormsg = _("Maximum increase is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            max_dec = self.max_dec[progname]
            if max_dec < 0 or max_dec > 1:
                errormsg = _("Maximum decrease is outside the interval (0, 100) for %s") % progname
    
                invalid.append(errormsg)
            cost = self.costs[progname]
            if cost <= 0:
                errormsg = _("Cost is 0 or negative for %s") % progname
                invalid.append(errormsg)
            if progname not in self.prog_target.keys():
                errormsg = _("Target population not defined for %s") % progname
                invalid.append(errormsg)
            elif sum(self.prog_target[progname].values()) == 0:
                errormsg = _("Target population is 0 for %s") % progname
                invalid.append(errormsg)
        if invalid:
            errors = "\n\n".join(invalid)
>           raise Exception(errors)
E           Exception: La population cible est 0 pour Supplémentation équilibrée en énergie et en protéines
E           
E           La population cible est 0 pour Transferts monétaires
E           
E           La population cible est 0 pour Supplémentation en nutriments à base de lipides
E           
E           La population cible est 0 pour Fourniture publique d'aliments complémentaires
E           
E           La population cible est 0 pour Petite quantité de supplémentation en nutriments à base de lipides

../nutrition/data.py:727: Exception

The above exception was the direct cause of the following exception:

path = PosixPath('/home/runner/work/Nutrition/Nutrition/inputs/fr/LiST countries/RUS_databook.xlsx')

    @pytest.mark.parametrize('path', excel_files, ids=lambda x: str(x.relative_to(inputdir)))
    def test_databook(path):
        P = nu.Project("test")
>       P.load_data(inputspath=path)

test_tox_databooks.py:14: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/project.py:175: in load_data
    dataset = Dataset(databook=databook, country=country, region=region, name=name)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.data.Dataset at 0x7f97d3a7d750>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'RUS_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7f97d3a7da90>
country = None, region = None, name = 'RUS_databook'

    def __init__(self, databook: pandas.ExcelFile, country=None, region=None, name=None):
        """
        :param databook: Databook that is being used in the model
        :param country: The country of interest for data
        :param region: The region of interest in the country (in geospatial optimization)
        :param name:
        """
    
        self.country = country
        self.region = region
        self.name = name
    
        self.calcscache = CalcCellCache()
    
        # Read them into actual data
        try:
            self.demographic_data = DemographicData(databook, self.calcscache)
        except Exception as E:
            raise Exception("Error in databook: %s" % str(E)) from E
    
        try:
            self.prog_data = ProgramData(databook, self.demographic_data, self.calcscache)
        except Exception as E:
>           raise Exception("Error in program data: %s" % str(E)) from E
E           Exception: Error in program data: La population cible est 0 pour Supplémentation équilibrée en énergie et en protéines
E           
E           La population cible est 0 pour Transferts monétaires
E           
E           La population cible est 0 pour Supplémentation en nutriments à base de lipides
E           
E           La population cible est 0 pour Fourniture publique d'aliments complémentaires
E           
E           La population cible est 0 pour Petite quantité de supplémentation en nutriments à base de lipides

../nutrition/data.py:1006: Exception

Check failure on line 14 in tests/test_tox_databooks.py

See this annotation in the file changed.

@github-actions github-actions / JUnit Test Report

test_tox_databooks.test_databook[en/LiST countries/MYS_databook.xlsx] 

Exception: Error in program data: Target population is 0 for Balanced energy-protein supplementation

Target population is 0 for Cash transfers

Target population is 0 for Lipid-based nutrition supplements

Target population is 0 for Public provision of complementary foods

Target population is 0 for Small quantity lipid-based nutrition supplements
Raw output 
self = <nutrition.data.Dataset at 0x7fe470863250>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'MYS_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fe470c06410>
country = None, region = None, name = 'MYS_databook'

    def __init__(self, databook: pandas.ExcelFile, country=None, region=None, name=None):
        """
        :param databook: Databook that is being used in the model
        :param country: The country of interest for data
        :param region: The region of interest in the country (in geospatial optimization)
        :param name:
        """
    
        self.country = country
        self.region = region
        self.name = name
    
        self.calcscache = CalcCellCache()
    
        # Read them into actual data
        try:
            self.demographic_data = DemographicData(databook, self.calcscache)
        except Exception as E:
            raise Exception("Error in databook: %s" % str(E)) from E
    
        try:
>           self.prog_data = ProgramData(databook, self.demographic_data, self.calcscache)

../nutrition/data.py:1004: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/data.py:683: in __init__
    self.validate()
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.data.ProgramData at 0x7fe470b931d0>
[<class 'nutrition.data.ProgramData'>]
————————————————————————————————...6d0>
                 [<class 'nutritio [...]
————————————————————————————————————————————————————————————————————————


    def validate(self):
        """ Validate program data """
        invalid = []
        for progname in self.base_prog_set:
            cov = self.base_cov[progname]
            if cov < 0 or cov > 1:
                errormsg = _("Baseline coverage is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            sat = self.sat[progname]
            if sat < 0 or sat > 1:
                errormsg = _("Saturation is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            max_inc = self.max_inc[progname]
            if max_inc < 0 or max_inc > 1:
                errormsg = _("Maximum increase is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            max_dec = self.max_dec[progname]
            if max_dec < 0 or max_dec > 1:
                errormsg = _("Maximum decrease is outside the interval (0, 100) for %s") % progname
    
                invalid.append(errormsg)
            cost = self.costs[progname]
            if cost <= 0:
                errormsg = _("Cost is 0 or negative for %s") % progname
                invalid.append(errormsg)
            if progname not in self.prog_target.keys():
                errormsg = _("Target population not defined for %s") % progname
                invalid.append(errormsg)
            elif sum(self.prog_target[progname].values()) == 0:
                errormsg = _("Target population is 0 for %s") % progname
                invalid.append(errormsg)
        if invalid:
            errors = "\n\n".join(invalid)
>           raise Exception(errors)
E           Exception: Target population is 0 for Balanced energy-protein supplementation
E           
E           Target population is 0 for Cash transfers
E           
E           Target population is 0 for Lipid-based nutrition supplements
E           
E           Target population is 0 for Public provision of complementary foods
E           
E           Target population is 0 for Small quantity lipid-based nutrition supplements

../nutrition/data.py:727: Exception

The above exception was the direct cause of the following exception:

path = PosixPath('/home/runner/work/Nutrition/Nutrition/inputs/en/LiST countries/MYS_databook.xlsx')

    @pytest.mark.parametrize('path', excel_files, ids=lambda x: str(x.relative_to(inputdir)))
    def test_databook(path):
        P = nu.Project("test")
>       P.load_data(inputspath=path)

test_tox_databooks.py:14: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/project.py:175: in load_data
    dataset = Dataset(databook=databook, country=country, region=region, name=name)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.data.Dataset at 0x7fe470863250>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'MYS_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fe470c06410>
country = None, region = None, name = 'MYS_databook'

    def __init__(self, databook: pandas.ExcelFile, country=None, region=None, name=None):
        """
        :param databook: Databook that is being used in the model
        :param country: The country of interest for data
        :param region: The region of interest in the country (in geospatial optimization)
        :param name:
        """
    
        self.country = country
        self.region = region
        self.name = name
    
        self.calcscache = CalcCellCache()
    
        # Read them into actual data
        try:
            self.demographic_data = DemographicData(databook, self.calcscache)
        except Exception as E:
            raise Exception("Error in databook: %s" % str(E)) from E
    
        try:
            self.prog_data = ProgramData(databook, self.demographic_data, self.calcscache)
        except Exception as E:
>           raise Exception("Error in program data: %s" % str(E)) from E
E           Exception: Error in program data: Target population is 0 for Balanced energy-protein supplementation
E           
E           Target population is 0 for Cash transfers
E           
E           Target population is 0 for Lipid-based nutrition supplements
E           
E           Target population is 0 for Public provision of complementary foods
E           
E           Target population is 0 for Small quantity lipid-based nutrition supplements

../nutrition/data.py:1006: Exception

Check failure on line 14 in tests/test_tox_databooks.py

See this annotation in the file changed.

@github-actions github-actions / JUnit Test Report

test_tox_databooks.test_databook[en/LiST countries/AZE_databook.xlsx] 

Exception: Error in program data: Target population is 0 for Balanced energy-protein supplementation

Target population is 0 for Cash transfers

Target population is 0 for Lipid-based nutrition supplements

Target population is 0 for Public provision of complementary foods

Target population is 0 for Small quantity lipid-based nutrition supplements
Raw output 
self = <nutrition.data.Dataset at 0x7fe4706f4d90>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'AZE_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fe4715be950>
country = None, region = None, name = 'AZE_databook'

    def __init__(self, databook: pandas.ExcelFile, country=None, region=None, name=None):
        """
        :param databook: Databook that is being used in the model
        :param country: The country of interest for data
        :param region: The region of interest in the country (in geospatial optimization)
        :param name:
        """
    
        self.country = country
        self.region = region
        self.name = name
    
        self.calcscache = CalcCellCache()
    
        # Read them into actual data
        try:
            self.demographic_data = DemographicData(databook, self.calcscache)
        except Exception as E:
            raise Exception("Error in databook: %s" % str(E)) from E
    
        try:
>           self.prog_data = ProgramData(databook, self.demographic_data, self.calcscache)

../nutrition/data.py:1004: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/data.py:683: in __init__
    self.validate()
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.data.ProgramData at 0x7fe46ff719d0>
[<class 'nutrition.data.ProgramData'>]
————————————————————————————————...cd0>
                 [<class 'nutritio [...]
————————————————————————————————————————————————————————————————————————


    def validate(self):
        """ Validate program data """
        invalid = []
        for progname in self.base_prog_set:
            cov = self.base_cov[progname]
            if cov < 0 or cov > 1:
                errormsg = _("Baseline coverage is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            sat = self.sat[progname]
            if sat < 0 or sat > 1:
                errormsg = _("Saturation is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            max_inc = self.max_inc[progname]
            if max_inc < 0 or max_inc > 1:
                errormsg = _("Maximum increase is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            max_dec = self.max_dec[progname]
            if max_dec < 0 or max_dec > 1:
                errormsg = _("Maximum decrease is outside the interval (0, 100) for %s") % progname
    
                invalid.append(errormsg)
            cost = self.costs[progname]
            if cost <= 0:
                errormsg = _("Cost is 0 or negative for %s") % progname
                invalid.append(errormsg)
            if progname not in self.prog_target.keys():
                errormsg = _("Target population not defined for %s") % progname
                invalid.append(errormsg)
            elif sum(self.prog_target[progname].values()) == 0:
                errormsg = _("Target population is 0 for %s") % progname
                invalid.append(errormsg)
        if invalid:
            errors = "\n\n".join(invalid)
>           raise Exception(errors)
E           Exception: Target population is 0 for Balanced energy-protein supplementation
E           
E           Target population is 0 for Cash transfers
E           
E           Target population is 0 for Lipid-based nutrition supplements
E           
E           Target population is 0 for Public provision of complementary foods
E           
E           Target population is 0 for Small quantity lipid-based nutrition supplements

../nutrition/data.py:727: Exception

The above exception was the direct cause of the following exception:

path = PosixPath('/home/runner/work/Nutrition/Nutrition/inputs/en/LiST countries/AZE_databook.xlsx')

    @pytest.mark.parametrize('path', excel_files, ids=lambda x: str(x.relative_to(inputdir)))
    def test_databook(path):
        P = nu.Project("test")
>       P.load_data(inputspath=path)

test_tox_databooks.py:14: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/project.py:175: in load_data
    dataset = Dataset(databook=databook, country=country, region=region, name=name)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.data.Dataset at 0x7fe4706f4d90>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'AZE_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fe4715be950>
country = None, region = None, name = 'AZE_databook'

    def __init__(self, databook: pandas.ExcelFile, country=None, region=None, name=None):
        """
        :param databook: Databook that is being used in the model
        :param country: The country of interest for data
        :param region: The region of interest in the country (in geospatial optimization)
        :param name:
        """
    
        self.country = country
        self.region = region
        self.name = name
    
        self.calcscache = CalcCellCache()
    
        # Read them into actual data
        try:
            self.demographic_data = DemographicData(databook, self.calcscache)
        except Exception as E:
            raise Exception("Error in databook: %s" % str(E)) from E
    
        try:
            self.prog_data = ProgramData(databook, self.demographic_data, self.calcscache)
        except Exception as E:
>           raise Exception("Error in program data: %s" % str(E)) from E
E           Exception: Error in program data: Target population is 0 for Balanced energy-protein supplementation
E           
E           Target population is 0 for Cash transfers
E           
E           Target population is 0 for Lipid-based nutrition supplements
E           
E           Target population is 0 for Public provision of complementary foods
E           
E           Target population is 0 for Small quantity lipid-based nutrition supplements

../nutrition/data.py:1006: Exception

Check failure on line 14 in tests/test_tox_databooks.py

See this annotation in the file changed.

@github-actions github-actions / JUnit Test Report

test_tox_databooks.test_databook[en/LiST countries/TON_databook.xlsx] 

Exception: Error in program data: Target population is 0 for Oral rehydration salts

Target population is 0 for Zinc for treatment + ORS
Raw output 
self = <nutrition.data.Dataset at 0x7f97d44908d0>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'TON_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7f97d3b0fc50>
country = None, region = None, name = 'TON_databook'

    def __init__(self, databook: pandas.ExcelFile, country=None, region=None, name=None):
        """
        :param databook: Databook that is being used in the model
        :param country: The country of interest for data
        :param region: The region of interest in the country (in geospatial optimization)
        :param name:
        """
    
        self.country = country
        self.region = region
        self.name = name
    
        self.calcscache = CalcCellCache()
    
        # Read them into actual data
        try:
            self.demographic_data = DemographicData(databook, self.calcscache)
        except Exception as E:
            raise Exception("Error in databook: %s" % str(E)) from E
    
        try:
>           self.prog_data = ProgramData(databook, self.demographic_data, self.calcscache)

../nutrition/data.py:1004: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/data.py:683: in __init__
    self.validate()
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.data.ProgramData at 0x7f97d352f2d0>
[<class 'nutrition.data.ProgramData'>]
————————————————————————————————...710>
                 [<class 'nutritio [...]
————————————————————————————————————————————————————————————————————————


    def validate(self):
        """ Validate program data """
        invalid = []
        for progname in self.base_prog_set:
            cov = self.base_cov[progname]
            if cov < 0 or cov > 1:
                errormsg = _("Baseline coverage is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            sat = self.sat[progname]
            if sat < 0 or sat > 1:
                errormsg = _("Saturation is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            max_inc = self.max_inc[progname]
            if max_inc < 0 or max_inc > 1:
                errormsg = _("Maximum increase is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            max_dec = self.max_dec[progname]
            if max_dec < 0 or max_dec > 1:
                errormsg = _("Maximum decrease is outside the interval (0, 100) for %s") % progname
    
                invalid.append(errormsg)
            cost = self.costs[progname]
            if cost <= 0:
                errormsg = _("Cost is 0 or negative for %s") % progname
                invalid.append(errormsg)
            if progname not in self.prog_target.keys():
                errormsg = _("Target population not defined for %s") % progname
                invalid.append(errormsg)
            elif sum(self.prog_target[progname].values()) == 0:
                errormsg = _("Target population is 0 for %s") % progname
                invalid.append(errormsg)
        if invalid:
            errors = "\n\n".join(invalid)
>           raise Exception(errors)
E           Exception: Target population is 0 for Oral rehydration salts
E           
E           Target population is 0 for Zinc for treatment + ORS

../nutrition/data.py:727: Exception

The above exception was the direct cause of the following exception:

path = PosixPath('/home/runner/work/Nutrition/Nutrition/inputs/en/LiST countries/TON_databook.xlsx')

    @pytest.mark.parametrize('path', excel_files, ids=lambda x: str(x.relative_to(inputdir)))
    def test_databook(path):
        P = nu.Project("test")
>       P.load_data(inputspath=path)

test_tox_databooks.py:14: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/project.py:175: in load_data
    dataset = Dataset(databook=databook, country=country, region=region, name=name)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.data.Dataset at 0x7f97d44908d0>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'TON_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7f97d3b0fc50>
country = None, region = None, name = 'TON_databook'

    def __init__(self, databook: pandas.ExcelFile, country=None, region=None, name=None):
        """
        :param databook: Databook that is being used in the model
        :param country: The country of interest for data
        :param region: The region of interest in the country (in geospatial optimization)
        :param name:
        """
    
        self.country = country
        self.region = region
        self.name = name
    
        self.calcscache = CalcCellCache()
    
        # Read them into actual data
        try:
            self.demographic_data = DemographicData(databook, self.calcscache)
        except Exception as E:
            raise Exception("Error in databook: %s" % str(E)) from E
    
        try:
            self.prog_data = ProgramData(databook, self.demographic_data, self.calcscache)
        except Exception as E:
>           raise Exception("Error in program data: %s" % str(E)) from E
E           Exception: Error in program data: Target population is 0 for Oral rehydration salts
E           
E           Target population is 0 for Zinc for treatment + ORS

../nutrition/data.py:1006: Exception

Check failure on line 14 in tests/test_tox_databooks.py

See this annotation in the file changed.

@github-actions github-actions / JUnit Test Report

test_tox_databooks.test_databook[en/LiST countries/MDV_databook.xlsx] 

Exception: Error in program data: Target population is 0 for Balanced energy-protein supplementation

Target population is 0 for Cash transfers

Target population is 0 for Lipid-based nutrition supplements

Target population is 0 for Public provision of complementary foods

Target population is 0 for Small quantity lipid-based nutrition supplements
Raw output 
self = <nutrition.data.Dataset at 0x7fe4701a2d90>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'MDV_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fe4704f4d90>
country = None, region = None, name = 'MDV_databook'

    def __init__(self, databook: pandas.ExcelFile, country=None, region=None, name=None):
        """
        :param databook: Databook that is being used in the model
        :param country: The country of interest for data
        :param region: The region of interest in the country (in geospatial optimization)
        :param name:
        """
    
        self.country = country
        self.region = region
        self.name = name
    
        self.calcscache = CalcCellCache()
    
        # Read them into actual data
        try:
            self.demographic_data = DemographicData(databook, self.calcscache)
        except Exception as E:
            raise Exception("Error in databook: %s" % str(E)) from E
    
        try:
>           self.prog_data = ProgramData(databook, self.demographic_data, self.calcscache)

../nutrition/data.py:1004: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/data.py:683: in __init__
    self.validate()
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.data.ProgramData at 0x7fe47003b610>
[<class 'nutrition.data.ProgramData'>]
————————————————————————————————...ed0>
                 [<class 'nutritio [...]
————————————————————————————————————————————————————————————————————————


    def validate(self):
        """ Validate program data """
        invalid = []
        for progname in self.base_prog_set:
            cov = self.base_cov[progname]
            if cov < 0 or cov > 1:
                errormsg = _("Baseline coverage is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            sat = self.sat[progname]
            if sat < 0 or sat > 1:
                errormsg = _("Saturation is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            max_inc = self.max_inc[progname]
            if max_inc < 0 or max_inc > 1:
                errormsg = _("Maximum increase is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            max_dec = self.max_dec[progname]
            if max_dec < 0 or max_dec > 1:
                errormsg = _("Maximum decrease is outside the interval (0, 100) for %s") % progname
    
                invalid.append(errormsg)
            cost = self.costs[progname]
            if cost <= 0:
                errormsg = _("Cost is 0 or negative for %s") % progname
                invalid.append(errormsg)
            if progname not in self.prog_target.keys():
                errormsg = _("Target population not defined for %s") % progname
                invalid.append(errormsg)
            elif sum(self.prog_target[progname].values()) == 0:
                errormsg = _("Target population is 0 for %s") % progname
                invalid.append(errormsg)
        if invalid:
            errors = "\n\n".join(invalid)
>           raise Exception(errors)
E           Exception: Target population is 0 for Balanced energy-protein supplementation
E           
E           Target population is 0 for Cash transfers
E           
E           Target population is 0 for Lipid-based nutrition supplements
E           
E           Target population is 0 for Public provision of complementary foods
E           
E           Target population is 0 for Small quantity lipid-based nutrition supplements

../nutrition/data.py:727: Exception

The above exception was the direct cause of the following exception:

path = PosixPath('/home/runner/work/Nutrition/Nutrition/inputs/en/LiST countries/MDV_databook.xlsx')

    @pytest.mark.parametrize('path', excel_files, ids=lambda x: str(x.relative_to(inputdir)))
    def test_databook(path):
        P = nu.Project("test")
>       P.load_data(inputspath=path)

test_tox_databooks.py:14: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/project.py:175: in load_data
    dataset = Dataset(databook=databook, country=country, region=region, name=name)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.data.Dataset at 0x7fe4701a2d90>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'MDV_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fe4704f4d90>
country = None, region = None, name = 'MDV_databook'

    def __init__(self, databook: pandas.ExcelFile, country=None, region=None, name=None):
        """
        :param databook: Databook that is being used in the model
        :param country: The country of interest for data
        :param region: The region of interest in the country (in geospatial optimization)
        :param name:
        """
    
        self.country = country
        self.region = region
        self.name = name
    
        self.calcscache = CalcCellCache()
    
        # Read them into actual data
        try:
            self.demographic_data = DemographicData(databook, self.calcscache)
        except Exception as E:
            raise Exception("Error in databook: %s" % str(E)) from E
    
        try:
            self.prog_data = ProgramData(databook, self.demographic_data, self.calcscache)
        except Exception as E:
>           raise Exception("Error in program data: %s" % str(E)) from E
E           Exception: Error in program data: Target population is 0 for Balanced energy-protein supplementation
E           
E           Target population is 0 for Cash transfers
E           
E           Target population is 0 for Lipid-based nutrition supplements
E           
E           Target population is 0 for Public provision of complementary foods
E           
E           Target population is 0 for Small quantity lipid-based nutrition supplements

../nutrition/data.py:1006: Exception

Check failure on line 14 in tests/test_tox_databooks.py

See this annotation in the file changed.

@github-actions github-actions / JUnit Test Report

test_tox_databooks.test_databook[en/LiST countries/UKR_databook.xlsx] 

Exception: Error in program data: Target population is 0 for Balanced energy-protein supplementation

Target population is 0 for Cash transfers

Target population is 0 for Lipid-based nutrition supplements

Target population is 0 for Public provision of complementary foods

Target population is 0 for Small quantity lipid-based nutrition supplements
Raw output 
self = <nutrition.data.Dataset at 0x7f97d4074d10>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'UKR_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7f97d42c1790>
country = None, region = None, name = 'UKR_databook'

    def __init__(self, databook: pandas.ExcelFile, country=None, region=None, name=None):
        """
        :param databook: Databook that is being used in the model
        :param country: The country of interest for data
        :param region: The region of interest in the country (in geospatial optimization)
        :param name:
        """
    
        self.country = country
        self.region = region
        self.name = name
    
        self.calcscache = CalcCellCache()
    
        # Read them into actual data
        try:
            self.demographic_data = DemographicData(databook, self.calcscache)
        except Exception as E:
            raise Exception("Error in databook: %s" % str(E)) from E
    
        try:
>           self.prog_data = ProgramData(databook, self.demographic_data, self.calcscache)

../nutrition/data.py:1004: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/data.py:683: in __init__
    self.validate()
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.data.ProgramData at 0x7f97d35a9910>
[<class 'nutrition.data.ProgramData'>]
————————————————————————————————...c10>
                 [<class 'nutritio [...]
————————————————————————————————————————————————————————————————————————


    def validate(self):
        """ Validate program data """
        invalid = []
        for progname in self.base_prog_set:
            cov = self.base_cov[progname]
            if cov < 0 or cov > 1:
                errormsg = _("Baseline coverage is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            sat = self.sat[progname]
            if sat < 0 or sat > 1:
                errormsg = _("Saturation is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            max_inc = self.max_inc[progname]
            if max_inc < 0 or max_inc > 1:
                errormsg = _("Maximum increase is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            max_dec = self.max_dec[progname]
            if max_dec < 0 or max_dec > 1:
                errormsg = _("Maximum decrease is outside the interval (0, 100) for %s") % progname
    
                invalid.append(errormsg)
            cost = self.costs[progname]
            if cost <= 0:
                errormsg = _("Cost is 0 or negative for %s") % progname
                invalid.append(errormsg)
            if progname not in self.prog_target.keys():
                errormsg = _("Target population not defined for %s") % progname
                invalid.append(errormsg)
            elif sum(self.prog_target[progname].values()) == 0:
                errormsg = _("Target population is 0 for %s") % progname
                invalid.append(errormsg)
        if invalid:
            errors = "\n\n".join(invalid)
>           raise Exception(errors)
E           Exception: Target population is 0 for Balanced energy-protein supplementation
E           
E           Target population is 0 for Cash transfers
E           
E           Target population is 0 for Lipid-based nutrition supplements
E           
E           Target population is 0 for Public provision of complementary foods
E           
E           Target population is 0 for Small quantity lipid-based nutrition supplements

../nutrition/data.py:727: Exception

The above exception was the direct cause of the following exception:

path = PosixPath('/home/runner/work/Nutrition/Nutrition/inputs/en/LiST countries/UKR_databook.xlsx')

    @pytest.mark.parametrize('path', excel_files, ids=lambda x: str(x.relative_to(inputdir)))
    def test_databook(path):
        P = nu.Project("test")
>       P.load_data(inputspath=path)

test_tox_databooks.py:14: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/project.py:175: in load_data
    dataset = Dataset(databook=databook, country=country, region=region, name=name)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.data.Dataset at 0x7f97d4074d10>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'UKR_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7f97d42c1790>
country = None, region = None, name = 'UKR_databook'

    def __init__(self, databook: pandas.ExcelFile, country=None, region=None, name=None):
        """
        :param databook: Databook that is being used in the model
        :param country: The country of interest for data
        :param region: The region of interest in the country (in geospatial optimization)
        :param name:
        """
    
        self.country = country
        self.region = region
        self.name = name
    
        self.calcscache = CalcCellCache()
    
        # Read them into actual data
        try:
            self.demographic_data = DemographicData(databook, self.calcscache)
        except Exception as E:
            raise Exception("Error in databook: %s" % str(E)) from E
    
        try:
            self.prog_data = ProgramData(databook, self.demographic_data, self.calcscache)
        except Exception as E:
>           raise Exception("Error in program data: %s" % str(E)) from E
E           Exception: Error in program data: Target population is 0 for Balanced energy-protein supplementation
E           
E           Target population is 0 for Cash transfers
E           
E           Target population is 0 for Lipid-based nutrition supplements
E           
E           Target population is 0 for Public provision of complementary foods
E           
E           Target population is 0 for Small quantity lipid-based nutrition supplements

../nutrition/data.py:1006: Exception

Check failure on line 14 in tests/test_tox_databooks.py

See this annotation in the file changed.

@github-actions github-actions / JUnit Test Report

test_tox_databooks.test_databook[en/LiST countries/JOR_databook.xlsx] 

ZeroDivisionError: float division by zero
Raw output 
path = PosixPath('/home/runner/work/Nutrition/Nutrition/inputs/en/LiST countries/JOR_databook.xlsx')

    @pytest.mark.parametrize('path', excel_files, ids=lambda x: str(x.relative_to(inputdir)))
    def test_databook(path):
        P = nu.Project("test")
>       P.load_data(inputspath=path)

test_tox_databooks.py:14: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/project.py:184: in load_data
    self.add_model(name, growth=growth)  # add model associated with the dataset or datasets
../nutrition/utils.py:85: in wrapper
    return f(*args, **kwargs)
../nutrition/project.py:372: in add_model
    model = Model(dataset, t, growth=growth)
../nutrition/model.py:25: in __init__
    self._set_progs(self.prog_info.base_progset())
../nutrition/model.py:71: in _set_progs
    self.prog_info.set_init_covs(self.pops)
../nutrition/programs.py:661: in set_init_covs
    prog.set_pop_sizes(pops)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.programs.Program at 0x7fe470bc9f50>
[<class 'nutrition.programs.Program'>, <class 'sciris.sc_printing.prett...  6,  7,  8,  9, 10,
                    11])
————————————————————————————————————————————————————————————————————————

pops = [<nutrition.populations.Children at 0x7fe46f89bf10>
[<class 'nutrition.populations.Children'>, <class 'nutrition.popul...10>
              [<class 'nutrition.s [...]
————————————————————————————————————————————————————————————————————————
]

    def set_pop_sizes(self, pops):
        self._set_restrpop(pops)
        self._set_unrestrpop(pops)
        # this accounts for different fractions within age bands
>       self.sat_unrestr = self.restr_popsize / self.unrestr_popsize
E       ZeroDivisionError: float division by zero

../nutrition/programs.py:112: ZeroDivisionError

Check failure on line 14 in tests/test_tox_databooks.py

See this annotation in the file changed.

@github-actions github-actions / JUnit Test Report

test_tox_databooks.test_databook[en/LiST countries/BLR_databook.xlsx] 

Exception: Error in program data: Target population is 0 for Balanced energy-protein supplementation

Target population is 0 for Cash transfers

Target population is 0 for Lipid-based nutrition supplements

Target population is 0 for Public provision of complementary foods

Target population is 0 for Small quantity lipid-based nutrition supplements
Raw output 
self = <nutrition.data.Dataset at 0x7f97d3f85110>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'BLR_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7f97d4808650>
country = None, region = None, name = 'BLR_databook'

    def __init__(self, databook: pandas.ExcelFile, country=None, region=None, name=None):
        """
        :param databook: Databook that is being used in the model
        :param country: The country of interest for data
        :param region: The region of interest in the country (in geospatial optimization)
        :param name:
        """
    
        self.country = country
        self.region = region
        self.name = name
    
        self.calcscache = CalcCellCache()
    
        # Read them into actual data
        try:
            self.demographic_data = DemographicData(databook, self.calcscache)
        except Exception as E:
            raise Exception("Error in databook: %s" % str(E)) from E
    
        try:
>           self.prog_data = ProgramData(databook, self.demographic_data, self.calcscache)

../nutrition/data.py:1004: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/data.py:683: in __init__
    self.validate()
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.data.ProgramData at 0x7f97d3f46bd0>
[<class 'nutrition.data.ProgramData'>]
————————————————————————————————...250>
                 [<class 'nutritio [...]
————————————————————————————————————————————————————————————————————————


    def validate(self):
        """ Validate program data """
        invalid = []
        for progname in self.base_prog_set:
            cov = self.base_cov[progname]
            if cov < 0 or cov > 1:
                errormsg = _("Baseline coverage is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            sat = self.sat[progname]
            if sat < 0 or sat > 1:
                errormsg = _("Saturation is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            max_inc = self.max_inc[progname]
            if max_inc < 0 or max_inc > 1:
                errormsg = _("Maximum increase is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            max_dec = self.max_dec[progname]
            if max_dec < 0 or max_dec > 1:
                errormsg = _("Maximum decrease is outside the interval (0, 100) for %s") % progname
    
                invalid.append(errormsg)
            cost = self.costs[progname]
            if cost <= 0:
                errormsg = _("Cost is 0 or negative for %s") % progname
                invalid.append(errormsg)
            if progname not in self.prog_target.keys():
                errormsg = _("Target population not defined for %s") % progname
                invalid.append(errormsg)
            elif sum(self.prog_target[progname].values()) == 0:
                errormsg = _("Target population is 0 for %s") % progname
                invalid.append(errormsg)
        if invalid:
            errors = "\n\n".join(invalid)
>           raise Exception(errors)
E           Exception: Target population is 0 for Balanced energy-protein supplementation
E           
E           Target population is 0 for Cash transfers
E           
E           Target population is 0 for Lipid-based nutrition supplements
E           
E           Target population is 0 for Public provision of complementary foods
E           
E           Target population is 0 for Small quantity lipid-based nutrition supplements

../nutrition/data.py:727: Exception

The above exception was the direct cause of the following exception:

path = PosixPath('/home/runner/work/Nutrition/Nutrition/inputs/en/LiST countries/BLR_databook.xlsx')

    @pytest.mark.parametrize('path', excel_files, ids=lambda x: str(x.relative_to(inputdir)))
    def test_databook(path):
        P = nu.Project("test")
>       P.load_data(inputspath=path)

test_tox_databooks.py:14: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/project.py:175: in load_data
    dataset = Dataset(databook=databook, country=country, region=region, name=name)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.data.Dataset at 0x7f97d3f85110>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'BLR_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7f97d4808650>
country = None, region = None, name = 'BLR_databook'

    def __init__(self, databook: pandas.ExcelFile, country=None, region=None, name=None):
        """
        :param databook: Databook that is being used in the model
        :param country: The country of interest for data
        :param region: The region of interest in the country (in geospatial optimization)
        :param name:
        """
    
        self.country = country
        self.region = region
        self.name = name
    
        self.calcscache = CalcCellCache()
    
        # Read them into actual data
        try:
            self.demographic_data = DemographicData(databook, self.calcscache)
        except Exception as E:
            raise Exception("Error in databook: %s" % str(E)) from E
    
        try:
            self.prog_data = ProgramData(databook, self.demographic_data, self.calcscache)
        except Exception as E:
>           raise Exception("Error in program data: %s" % str(E)) from E
E           Exception: Error in program data: Target population is 0 for Balanced energy-protein supplementation
E           
E           Target population is 0 for Cash transfers
E           
E           Target population is 0 for Lipid-based nutrition supplements
E           
E           Target population is 0 for Public provision of complementary foods
E           
E           Target population is 0 for Small quantity lipid-based nutrition supplements

../nutrition/data.py:1006: Exception

Check failure on line 14 in tests/test_tox_databooks.py

See this annotation in the file changed.

@github-actions github-actions / JUnit Test Report

test_tox_databooks.test_databook[es/LiST countries/TON_databook.xlsx] 

Exception: Error in program data: La población objetivo es 0 para Sales de rehidratación oral

La población objetivo es 0 para Zinc para el tratamiento + SRO
Raw output 
self = <nutrition.data.Dataset at 0x7f97d4796690>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'TON_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7f97fccc6750>
country = None, region = None, name = 'TON_databook'

    def __init__(self, databook: pandas.ExcelFile, country=None, region=None, name=None):
        """
        :param databook: Databook that is being used in the model
        :param country: The country of interest for data
        :param region: The region of interest in the country (in geospatial optimization)
        :param name:
        """
    
        self.country = country
        self.region = region
        self.name = name
    
        self.calcscache = CalcCellCache()
    
        # Read them into actual data
        try:
            self.demographic_data = DemographicData(databook, self.calcscache)
        except Exception as E:
            raise Exception("Error in databook: %s" % str(E)) from E
    
        try:
>           self.prog_data = ProgramData(databook, self.demographic_data, self.calcscache)

../nutrition/data.py:1004: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/data.py:683: in __init__
    self.validate()
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.data.ProgramData at 0x7f97d47c9350>
[<class 'nutrition.data.ProgramData'>]
————————————————————————————————...710>
                 [<class 'nutritio [...]
————————————————————————————————————————————————————————————————————————


    def validate(self):
        """ Validate program data """
        invalid = []
        for progname in self.base_prog_set:
            cov = self.base_cov[progname]
            if cov < 0 or cov > 1:
                errormsg = _("Baseline coverage is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            sat = self.sat[progname]
            if sat < 0 or sat > 1:
                errormsg = _("Saturation is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            max_inc = self.max_inc[progname]
            if max_inc < 0 or max_inc > 1:
                errormsg = _("Maximum increase is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            max_dec = self.max_dec[progname]
            if max_dec < 0 or max_dec > 1:
                errormsg = _("Maximum decrease is outside the interval (0, 100) for %s") % progname
    
                invalid.append(errormsg)
            cost = self.costs[progname]
            if cost <= 0:
                errormsg = _("Cost is 0 or negative for %s") % progname
                invalid.append(errormsg)
            if progname not in self.prog_target.keys():
                errormsg = _("Target population not defined for %s") % progname
                invalid.append(errormsg)
            elif sum(self.prog_target[progname].values()) == 0:
                errormsg = _("Target population is 0 for %s") % progname
                invalid.append(errormsg)
        if invalid:
            errors = "\n\n".join(invalid)
>           raise Exception(errors)
E           Exception: La población objetivo es 0 para Sales de rehidratación oral
E           
E           La población objetivo es 0 para Zinc para el tratamiento + SRO

../nutrition/data.py:727: Exception

The above exception was the direct cause of the following exception:

path = PosixPath('/home/runner/work/Nutrition/Nutrition/inputs/es/LiST countries/TON_databook.xlsx')

    @pytest.mark.parametrize('path', excel_files, ids=lambda x: str(x.relative_to(inputdir)))
    def test_databook(path):
        P = nu.Project("test")
>       P.load_data(inputspath=path)

test_tox_databooks.py:14: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/project.py:175: in load_data
    dataset = Dataset(databook=databook, country=country, region=region, name=name)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.data.Dataset at 0x7f97d4796690>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'TON_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7f97fccc6750>
country = None, region = None, name = 'TON_databook'

    def __init__(self, databook: pandas.ExcelFile, country=None, region=None, name=None):
        """
        :param databook: Databook that is being used in the model
        :param country: The country of interest for data
        :param region: The region of interest in the country (in geospatial optimization)
        :param name:
        """
    
        self.country = country
        self.region = region
        self.name = name
    
        self.calcscache = CalcCellCache()
    
        # Read them into actual data
        try:
            self.demographic_data = DemographicData(databook, self.calcscache)
        except Exception as E:
            raise Exception("Error in databook: %s" % str(E)) from E
    
        try:
            self.prog_data = ProgramData(databook, self.demographic_data, self.calcscache)
        except Exception as E:
>           raise Exception("Error in program data: %s" % str(E)) from E
E           Exception: Error in program data: La población objetivo es 0 para Sales de rehidratación oral
E           
E           La población objetivo es 0 para Zinc para el tratamiento + SRO

../nutrition/data.py:1006: Exception

Check failure on line 14 in tests/test_tox_databooks.py

See this annotation in the file changed.

@github-actions github-actions / JUnit Test Report

test_tox_databooks.test_databook[en/LiST countries/RUS_databook.xlsx] 

Exception: Error in program data: Target population is 0 for Balanced energy-protein supplementation

Target population is 0 for Cash transfers

Target population is 0 for Lipid-based nutrition supplements

Target population is 0 for Public provision of complementary foods

Target population is 0 for Small quantity lipid-based nutrition supplements
Raw output 
self = <nutrition.data.Dataset at 0x7fe4705aaf50>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'RUS_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fe46fe61d50>
country = None, region = None, name = 'RUS_databook'

    def __init__(self, databook: pandas.ExcelFile, country=None, region=None, name=None):
        """
        :param databook: Databook that is being used in the model
        :param country: The country of interest for data
        :param region: The region of interest in the country (in geospatial optimization)
        :param name:
        """
    
        self.country = country
        self.region = region
        self.name = name
    
        self.calcscache = CalcCellCache()
    
        # Read them into actual data
        try:
            self.demographic_data = DemographicData(databook, self.calcscache)
        except Exception as E:
            raise Exception("Error in databook: %s" % str(E)) from E
    
        try:
>           self.prog_data = ProgramData(databook, self.demographic_data, self.calcscache)

../nutrition/data.py:1004: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/data.py:683: in __init__
    self.validate()
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.data.ProgramData at 0x7fe470756bd0>
[<class 'nutrition.data.ProgramData'>]
————————————————————————————————...3d0>
                 [<class 'nutritio [...]
————————————————————————————————————————————————————————————————————————


    def validate(self):
        """ Validate program data """
        invalid = []
        for progname in self.base_prog_set:
            cov = self.base_cov[progname]
            if cov < 0 or cov > 1:
                errormsg = _("Baseline coverage is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            sat = self.sat[progname]
            if sat < 0 or sat > 1:
                errormsg = _("Saturation is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            max_inc = self.max_inc[progname]
            if max_inc < 0 or max_inc > 1:
                errormsg = _("Maximum increase is outside the interval (0, 100) for %s") % progname
                invalid.append(errormsg)
            max_dec = self.max_dec[progname]
            if max_dec < 0 or max_dec > 1:
                errormsg = _("Maximum decrease is outside the interval (0, 100) for %s") % progname
    
                invalid.append(errormsg)
            cost = self.costs[progname]
            if cost <= 0:
                errormsg = _("Cost is 0 or negative for %s") % progname
                invalid.append(errormsg)
            if progname not in self.prog_target.keys():
                errormsg = _("Target population not defined for %s") % progname
                invalid.append(errormsg)
            elif sum(self.prog_target[progname].values()) == 0:
                errormsg = _("Target population is 0 for %s") % progname
                invalid.append(errormsg)
        if invalid:
            errors = "\n\n".join(invalid)
>           raise Exception(errors)
E           Exception: Target population is 0 for Balanced energy-protein supplementation
E           
E           Target population is 0 for Cash transfers
E           
E           Target population is 0 for Lipid-based nutrition supplements
E           
E           Target population is 0 for Public provision of complementary foods
E           
E           Target population is 0 for Small quantity lipid-based nutrition supplements

../nutrition/data.py:727: Exception

The above exception was the direct cause of the following exception:

path = PosixPath('/home/runner/work/Nutrition/Nutrition/inputs/en/LiST countries/RUS_databook.xlsx')

    @pytest.mark.parametrize('path', excel_files, ids=lambda x: str(x.relative_to(inputdir)))
    def test_databook(path):
        P = nu.Project("test")
>       P.load_data(inputspath=path)

test_tox_databooks.py:14: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../nutrition/project.py:175: in load_data
    dataset = Dataset(databook=databook, country=country, region=region, name=name)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <nutrition.data.Dataset at 0x7fe4705aaf50>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'RUS_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fe46fe61d50>
country = None, region = None, name = 'RUS_databook'

    def __init__(self, databook: pandas.ExcelFile, country=None, region=None, name=None):
        """
        :param databook: Databook that is being used in the model
        :param country: The country of interest for data
        :param region: The region of interest in the country (in geospatial optimization)
        :param name:
        """
    
        self.country = country
        self.region = region
        self.name = name
    
        self.calcscache = CalcCellCache()
    
        # Read them into actual data
        try:
            self.demographic_data = DemographicData(databook, self.calcscache)
        except Exception as E:
            raise Exception("Error in databook: %s" % str(E)) from E
    
        try:
            self.prog_data = ProgramData(databook, self.demographic_data, self.calcscache)
        except Exception as E:
>           raise Exception("Error in program data: %s" % str(E)) from E
E           Exception: Error in program data: Target population is 0 for Balanced energy-protein supplementation
E           
E           Target population is 0 for Cash transfers
E           
E           Target population is 0 for Lipid-based nutrition supplements
E           
E           Target population is 0 for Public provision of complementary foods
E           
E           Target population is 0 for Small quantity lipid-based nutrition supplements

../nutrition/data.py:1006: Exception
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