
# Set constants of the names of the models so they can always be referenced
# as variables rather than strings

# Most of the density is at 0
NEAR_ZERO = '~0'

# Old "middle" modality - most of the density is at 0.5
NEAR_HALF = 'concurrent'

# Most of the density is at 1
NEAR_ONE = '~1'

# The density is split between 0 and 1
BOTH_ONE_ZERO = 'bimodal'

# Cannot decide on one of the above models (the null model fits better) so use
# this model instead
NULL_MODEL = 'ambivalent'


# Set constants of the names of the models so they can always be referenced
# as variables rather than strings

# Most of the density is at 0
NEAR_ZERO = 'excluded'

# Old "middle" modality - most of the density is at 0.5
NEAR_HALF = 'concurrent'

# Most of the density is at 1
NEAR_ONE = 'included'

# The density is split between 0 and 1
BOTH_ONE_ZERO = 'bimodal'

# Cannot decide on one of the above models (the null model fits better) so use
# this model instead
NULL_MODEL = 'ambivalent'

Use words for near zero and near one
Use words for near zero and near one

  
  # Set constants of the names of the models so they can always be referenced
  # as variables rather than strings
  
  # Most of the density is at 0
- NEAR_ZERO = '~0'
+ NEAR_ZERO = 'excluded'
  
  # Old "middle" modality - most of the density is at 0.5
  NEAR_HALF = 'concurrent'
  
  # Most of the density is at 1
- NEAR_ONE = '~1'
+ NEAR_ONE = 'included'
  
  # The density is split between 0 and 1
  BOTH_ONE_ZERO = 'bimodal'
  
  # Cannot decide on one of the above models (the null model fits better) so use
  # this model instead
  NULL_MODEL = 'ambivalent'
  
Use words for near zero and near one
## Code Before:

# Set constants of the names of the models so they can always be referenced
# as variables rather than strings

# Most of the density is at 0
NEAR_ZERO = '~0'

# Old "middle" modality - most of the density is at 0.5
NEAR_HALF = 'concurrent'

# Most of the density is at 1
NEAR_ONE = '~1'

# The density is split between 0 and 1
BOTH_ONE_ZERO = 'bimodal'

# Cannot decide on one of the above models (the null model fits better) so use
# this model instead
NULL_MODEL = 'ambivalent'

## Instruction:
Use words for near zero and near one
## Code After:

# Set constants of the names of the models so they can always be referenced
# as variables rather than strings

# Most of the density is at 0
NEAR_ZERO = 'excluded'

# Old "middle" modality - most of the density is at 0.5
NEAR_HALF = 'concurrent'

# Most of the density is at 1
NEAR_ONE = 'included'

# The density is split between 0 and 1
BOTH_ONE_ZERO = 'bimodal'

# Cannot decide on one of the above models (the null model fits better) so use
# this model instead
NULL_MODEL = 'ambivalent'
