def draw_parameter(self, random):
return self.Parameter(
p_hour=dist.uniform_float(random, 0, 1),
p_minute=dist.uniform_float(random, 0, 1),
p_second=dist.uniform_float(random, 0, 1),
month=dist.non_empty_subset(random, list(range(1, 13))),
naive_chance=dist.uniform_float(random, 0, 0.5),
timezones=self.timezones and dist.non_empty_subset(random, self.timezones),
)
def draw_parameter(self, random):
return self.Parameter(
p_hour=dist.uniform_float(random, 0, 1),
p_minute=dist.uniform_float(random, 0, 1),
p_second=dist.uniform_float(random, 0, 1),
month=dist.non_empty_subset(random, list(range(1, 13))),
naive_chance=dist.uniform_float(random, 0, 0.5),
timezones=self.timezones
and dist.non_empty_subset(random, self.timezones),
)
def produce_parameter(self, random):
return self.Parameter(
p_hour=dist.uniform_float(random, 0, 1),
p_minute=dist.uniform_float(random, 0, 1),
p_second=dist.uniform_float(random, 0, 1),
month=dist.non_empty_subset(random, list(range(1, 13))),
naive_chance=dist.uniform_float(random, 0, 0.5),
utc_chance=dist.uniform_float(random, 0, 1),
timezones=dist.non_empty_subset(
random, list(map(pytz.timezone, pytz.all_timezones))),
naive_options=dist.non_empty_subset(random, self.naive_options))
def produce_parameter(self, random):
return self.Parameter(
p_hour=dist.uniform_float(random, 0, 1),
p_minute=dist.uniform_float(random, 0, 1),
p_second=dist.uniform_float(random, 0, 1),
month=dist.non_empty_subset(random, list(range(1, 13))),
naive_chance=dist.uniform_float(random, 0, 0.5),
utc_chance=dist.uniform_float(random, 0, 1),
timezones=dist.non_empty_subset(
random,
list(
map(pytz.timezone, pytz.all_timezones))
),
naive_options=dist.non_empty_subset(random,
self.naive_options
)
)
def draw_parameter(self, random):
return self.Parameter(
leaf_parameter=self.leaf_strategy.draw_parameter(random),
branch_key_parameter=self.branch_key_strategy.draw_parameter(
random),
branch_label_parameter=self.branch_label_strategy.draw_parameter(
random),
branch_factor=uniform_float(random, 0.75, 0.99),
)
def draw_parameter(self, random):
return self.Parameter(
leaf_parameter=self.leaf_strategy.draw_parameter(random),
branch_key_parameter=self.branch_key_strategy.draw_parameter(
random),
branch_label_parameter=self.branch_label_strategy.draw_parameter(
random),
branch_factor=uniform_float(random, 0.75, 0.99),
)
def draw_parameter(self, random):
return self.Parameter(
negative_probability=dist.uniform_float(random, 0, 1),
subnormal_probability=dist.uniform_float(random, 0, 0.5),
)
def produce_parameter(self, random):
return self.Parameter(
negative_probability=dist.uniform_float(random, 0, 1),
subnormal_probability=dist.uniform_float(random, 0, 0.5),
)
def produce_parameter(self, random):
return self.Parameter(
negative_probability=dist.uniform_float(random, 0, 1),
min_exponent=random.randint(0, self.max_exponent)
)
def produce_parameter(self, random):
return self.Parameter(
negative_probability=dist.uniform_float(random, 0, 1),
min_exponent=random.randint(0, self.max_exponent)
)
