def string_to_interactions(string):
"""
Converts a compact string representation of an interaction to an
interaction:
'CDCDDD' -> [(C, D), (C, D), (D, D)]
"""
interactions = []
interactions_list = list(string)
while interactions_list:
p1action = Action.from_char(interactions_list.pop(0))
p2action = Action.from_char(interactions_list.pop(0))
interactions.append((p1action, p2action))
return interactions
def _get_human_input(self) -> Action: # pragma: no cover
"""
A method to prompt the user for input, validate it and display
the bottom toolbar.
Returns
-------
string
Uppercase C or D indicating the action to play
"""
action = prompt(
'Turn {} action [C or D] for {}: '.format(
len(self.history) + 1, self.human_name),
validator=ActionValidator(),
get_bottom_toolbar_tokens=self.status_messages['toolbar'],
style=toolbar_style)
return Action.from_char(action.upper())
def random_flip(action: Action, threshold: float) -> Action:
"""
Return flipped action with probability `threshold`
No random sample is carried out if threshold is 0 or 1.
Parameters
----------
action:
The action to flip or not
threshold : float
The probability of flipping action
Returns
-------
axelrod.Action
"""
if random_choice(threshold) == C:
return action.flip()
return action
def _get_human_input(self) -> Action: # pragma: no cover
"""
A method to prompt the user for input, validate it and display
the bottom toolbar.
Returns
-------
string
Uppercase C or D indicating the action to play
"""
action = prompt(
"Turn {} action [C or D] for {}: ".format(
len(self.history) + 1, self.human_name
),
validator=ActionValidator(),
style=toolbar_style,
**{bottom_toolbar_name: self.status_messages["toolbar"]},
)
return Action.from_char(action.upper())