Skip to content
Optima Nutrition tests

Fr and Es databooks #242

Sign in to view logs

Fr and Es databooks

Fr and Es databooks #242

GitHub Actions / JUnit Test Report failed May 17, 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 0x7fdc61b8e6d0>
[<class 'nutrition.programs.Program'>, <class 'sciris.sc_printing.prett...  6,  7,  8,  9, 10,
                    11])
————————————————————————————————————————————————————————————————————————

pops = [<nutrition.populations.Children at 0x7fdc6191be90>
[<class 'nutrition.populations.Children'>, <class 'nutrition.popul...d0>
              [<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 0x7fdc60dfaad0>
[<class 'nutrition.programs.Program'>, <class 'sciris.sc_printing.prett...  6,  7,  8,  9, 10,
                    11])
————————————————————————————————————————————————————————————————————————

pops = [<nutrition.populations.Children at 0x7fdc609c4c10>
[<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/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 0x7fdeaed2dc50>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'TON_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fdeb2a5c9d0>
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 0x7fdeb1788d50>
[<class 'nutrition.data.ProgramData'>]
————————————————————————————————...110>
                 [<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 0x7fdeaed2dc50>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'TON_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fdeb2a5c9d0>
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 0x7fdc6202acd0>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'MYS_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fdc61d968d0>
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 0x7fdc61b85610>
[<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/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 0x7fdc6202acd0>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'MYS_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fdc61d968d0>
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 0x7fdeb06fac50>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'UKR_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fded3a82ad0>
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 0x7fdeaeb78c10>
[<class 'nutrition.data.ProgramData'>]
————————————————————————————————...450>
                 [<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 0x7fdeb06fac50>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'UKR_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fded3a82ad0>
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 0x7fdc610f3b10>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'AZE_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fdc6130db90>
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 0x7fdc6079bad0>
[<class 'nutrition.data.ProgramData'>]
————————————————————————————————...a10>
                 [<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 0x7fdc610f3b10>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'AZE_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fdc6130db90>
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 0x7fdc623a05d0>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'MDV_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fdc610948d0>
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 0x7fdc60a97550>
[<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 0x7fdc623a05d0>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'MDV_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fdc610948d0>
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 0x7fdeaed3f390>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'BLR_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fdeaebe2e10>
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 0x7fdeaf453e50>
[<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/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 0x7fdeaed3f390>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'BLR_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fdeaebe2e10>
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 0x7fdeaf39f390>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'KAZ_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fdeaf5a5a10>
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 0x7fdeaf09cfd0>
[<class 'nutrition.data.ProgramData'>]
————————————————————————————————...010>
                 [<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 0x7fdeaf39f390>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'KAZ_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fdeaf5a5a10>
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 0x7fdeaf578a10>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'THA_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fdeaf57a2d0>
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 0x7fdeaebd75d0>
[<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 0x7fdeaf578a10>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'THA_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fdeaf57a2d0>
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 0x7fdc60fe9010>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'KAZ_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fdc60fe8590>
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 0x7fdc611e8850>
[<class 'nutrition.data.ProgramData'>]
————————————————————————————————...7d0>
                 [<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 0x7fdc60fe9010>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'KAZ_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fdc60fe8590>
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 0x7fdc60a05250>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'THA_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fdc61c96590>
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 0x7fdc6149bc10>
[<class 'nutrition.data.ProgramData'>]
————————————————————————————————...d90>
                 [<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 0x7fdc60a05250>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'THA_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fdc61c96590>
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 0x7fdc617d14d0>
[<class 'nutrition.programs.Program'>, <class 'sciris.sc_printing.prett...  6,  7,  8,  9, 10,
                    11])
————————————————————————————————————————————————————————————————————————

pops = [<nutrition.populations.Children at 0x7fdc61293050>
[<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/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 0x7fdc6108f3d0>
[<class 'nutrition.programs.Program'>, <class 'sciris.sc_printing.prett...  6,  7,  8,  9, 10,
                    11])
————————————————————————————————————————————————————————————————————————

pops = [<nutrition.populations.Children at 0x7fdc611fbe90>
[<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/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 0x7fdeae637b90>
[<class 'nutrition.programs.Program'>, <class 'sciris.sc_printing.prett...  6,  7,  8,  9, 10,
                    11])
————————————————————————————————————————————————————————————————————————

pops = [<nutrition.populations.Children at 0x7fdeae1999d0>
[<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 0x7fdeaedbdf90>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'RUS_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fdeaf18b410>
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 0x7fdeaec66190>
[<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/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 0x7fdeaedbdf90>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'RUS_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fdeaf18b410>
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 0x7fdc61a5fc10>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'MYS_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fdc61590f10>
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 0x7fdc615c05d0>
[<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/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 0x7fdc61a5fc10>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'MYS_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fdc61590f10>
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 0x7fdc611ca290>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'AZE_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fdc6150a790>
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 0x7fdc60be3890>
[<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/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 0x7fdc611ca290>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'AZE_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fdc6150a790>
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 0x7fdeae4e7390>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'TON_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fdeaf4c8a10>
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 0x7fdeae29a750>
[<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 0x7fdeae4e7390>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'TON_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fdeaf4c8a10>
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 0x7fdc60d3e2d0>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'MDV_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fdc6199c490>
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 0x7fdc6130f5d0>
[<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 0x7fdc60d3e2d0>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'MDV_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fdc6199c490>
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 0x7fdeae52b550>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'UKR_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fdeaf15d950>
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 0x7fdeae7086d0>
[<class 'nutrition.data.ProgramData'>]
————————————————————————————————...210>
                 [<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 0x7fdeae52b550>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'UKR_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fdeaf15d950>
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 0x7fdc618af050>
[<class 'nutrition.programs.Program'>, <class 'sciris.sc_printing.prett...  6,  7,  8,  9, 10,
                    11])
————————————————————————————————————————————————————————————————————————

pops = [<nutrition.populations.Children at 0x7fdc61224b90>
[<class 'nutrition.populations.Children'>, <class 'nutrition.popul...d0>
              [<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 0x7fdeaf56ccd0>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'BLR_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fdeaf56d5d0>
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 0x7fdeaf686190>
[<class 'nutrition.data.ProgramData'>]
————————————————————————————————...d50>
                 [<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 0x7fdeaf56ccd0>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'BLR_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fdeaf56d5d0>
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 0x7fdeaf0b3910>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'TON_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fdeaf59ce90>
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 0x7fdeae368c50>
[<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 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 0x7fdeaf0b3910>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'TON_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fdeaf59ce90>
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 0x7fdc6155c3d0>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'RUS_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fdc610f2ad0>
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 0x7fdc62b8e990>
[<class 'nutrition.data.ProgramData'>]
————————————————————————————————...f50>
                 [<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 0x7fdc6155c3d0>
[<class 'nutrition.data.Dataset'>]
————————————————————————————————————————...  name: 'RUS_databook'
          region: None
————————————————————————————————————————————————————————————————————————

databook = <pandas.io.excel._base.ExcelFile object at 0x7fdc610f2ad0>
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
View more details on GitHub Actions