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Normalize -> Normalise #1452

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merged 1 commit into from
Nov 10, 2024
Merged

Normalize -> Normalise #1452

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18 changes: 9 additions & 9 deletions axelrod/interaction_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -117,7 +117,7 @@ def compute_state_distribution(interactions):

def compute_normalised_state_distribution(interactions):
"""
Returns the normalized count of each state for a set of interactions.
Returns the normalised count of each state for a set of interactions.

Parameters
----------
Expand All @@ -127,8 +127,8 @@ def compute_normalised_state_distribution(interactions):

Returns
----------
normalized_count : Counter Object
Dictionary where the keys are the states and the values are a normalized
normalised_count : Counter Object
Dictionary where the keys are the states and the values are a normalised
count of the number of times that state occurs.
"""
if not interactions:
Expand All @@ -137,10 +137,10 @@ def compute_normalised_state_distribution(interactions):
interactions_count = Counter(interactions)
total = sum(interactions_count.values(), 0)

normalized_count = Counter(
normalised_count = Counter(
{key: value / total for key, value in interactions_count.items()}
)
return normalized_count
return normalised_count


def compute_state_to_action_distribution(interactions):
Expand Down Expand Up @@ -213,14 +213,14 @@ def compute_normalised_state_to_action_distribution(interactions):
-------
normalised_state_to_C_distributions : List of Counter Object
List of Counter objects where the keys are the states and actions and
the values the normalized counts. The first/second Counter corresponds
the values the normalised counts. The first/second Counter corresponds
to the first/second player.
"""
if not interactions:
return None

distribution = compute_state_to_action_distribution(interactions)
normalized_distribution = []
normalised_distribution = []
for player in range(2):
counter = {}
for state in [(C, C), (C, D), (D, C), (D, D)]:
Expand All @@ -232,8 +232,8 @@ def compute_normalised_state_to_action_distribution(interactions):
counter[(state, C)] = C_count / (C_count + D_count)
if D_count > 0:
counter[(state, D)] = D_count / (C_count + D_count)
normalized_distribution.append(Counter(counter))
return normalized_distribution
normalised_distribution.append(Counter(counter))
return normalised_distribution


def sparkline(actions, c_symbol="█", d_symbol=" "):
Expand Down
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