[BUG]: Model states with different names but shared identifiers are not merged by model composition

[liunelson]

I have 3 cases of concepts in model composition:

1. both concepts have the same name and same identifier
2. both concepts have the same name but different identifiers
3. both concepts have different names but same identifier
4. both concepts have the same name but one has no identifier

Case 1, the models compose as expected
Case 2, the models do not compose as expected
Case 3 (modelAB13), the models do not compose (should?)
Case 4 (modelAB34), the models do not compose (should?)

@bgyori
Is the behaviour above intentional?

S1 = Concept(name="Susceptible", identifiers={"ido": "0000514"})
I1 = Concept(name="Infected", identifiers={"ido": "0000511"})
R1 = Concept(name="Recovery", identifiers={"ido": "0000592"})

S2 = Concept(name="Susceptible", identifiers={"ido": "0000513"})
I2 = Concept(name="Infected", identifiers={"ido": "0000512"})
R2 = Concept(name="Recovery", identifiers={"ido": "0000593"})

S3 = Concept(name="S", identifiers={"ido": "0000514"})
I3 = Concept(name="I", identifiers={"ido": "0000511"})
R3 = Concept(name="R", identifiers={"ido": "0000592"})

S4 = Concept(name="S")
I4 = Concept(name="I")
R4 = Concept(name="R")

model_A1 = TemplateModel(
    templates = [
        ControlledConversion(
            name = 'Infection',
            subject = S1,
            outcome = I1,
            controller = I1
        )
    ],
    parameters = {
        'b': Parameter(name = 'b', value = 1.0)
    }
)

model_B1 = TemplateModel(
    templates = [
        NaturalConversion(
            name = 'Recovery',
            subject = I1,
            outcome = R1
        )
    ],
    parameters = {
        'g': Parameter(name = 'g', value = 1.0)
    }
)

model_B2 = TemplateModel(
    templates = [
        NaturalConversion(
            name = 'Recovery',
            subject = I2,
            outcome = R2
        )
    ],
    parameters = {
        'g': Parameter(name = 'g', value = 1.0)
    }
)

model_B3 = TemplateModel(
    templates = [
        NaturalConversion(
            name = 'Recovery',
            subject = I3,
            outcome = R3
        )
    ],
    parameters = {
        'g': Parameter(name = 'g', value = 1.0)
    }
)

model_B4 = TemplateModel(
    templates = [
        NaturalConversion(
            name = 'Recovery',
            subject = I4,
            outcome = R4
        )
    ],
    parameters = {
        'g': Parameter(name = 'g', value = 1.0)
    }
)

model_A3 = TemplateModel(
    templates = [
        ControlledConversion(
            name = 'Infection',
            subject = S3,
            outcome = I3,
            controller = I3
        )
    ],
    parameters = {
        'b': Parameter(name = 'b', value = 1.0)
    }
)

# %%
# Compose the two models together

# (matching name and ids)
model_AB11 = compose([model_A1, model_B1])
model_AB11.draw_jupyter()

# composed

# %%
# matching names, mismatched ids
model_AB12 = compose([model_A1, model_B2])
model_AB12.draw_jupyter()

# no composition

# %%
# mismatched names, matching ids
model_AB13 = compose([model_A1, model_B3])
model_AB13.draw_jupyter()

# no composition

# %%
# matching names, no id + yes id
model_AB34 = compose([model_A3, model_B4])
model_AB34.draw_jupyter()

# no composition

# %%
# matching names, no id + no id
model_AB44 = compose([model_A4, model_B4])
model_AB44.draw_jupyter()

# composed

[bgyori]

Done in #415