rename X_approx_distribution to X_approximate_distribution (#2337)

This commit is contained in:
Bruce Martin
2021-07-27 13:43:04 -07:00
committed by GitHub
parent 1998c0ad63
commit 0b1ab02a60
20 changed files with 79 additions and 77 deletions
@@ -38,7 +38,7 @@ class DatasetConfig(BaseConfig):
self.diffexp__lfc_cutoff = default_config["diffexp"]["lfc_cutoff"]
self.diffexp__top_n = default_config["diffexp"]["top_n"]
self.X_approx_distribution = default_config["X_approx_distribution"]
self.X_approximate_distribution = default_config["X_approximate_distribution"]
except KeyError as e:
raise ConfigurationError(f"Unexpected config: {str(e)}")
@@ -52,7 +52,7 @@ class DatasetConfig(BaseConfig):
self.handle_user_annotations(context)
self.handle_embeddings()
self.handle_diffexp(context)
self.handle_X_approx_distribution()
self.handle_X_approximate_distribution()
def get_data_adaptor(self):
server_config = self.app_config.server_config
@@ -186,9 +186,9 @@ class DatasetConfig(BaseConfig):
"CAUTION: due to the size of your dataset, " "running differential expression may take longer or fail."
)
def handle_X_approx_distribution(self):
self.validate_correct_type_of_configuration_attribute("X_approx_distribution", str)
if self.X_approx_distribution not in ["auto", "normal", "count"]:
def handle_X_approximate_distribution(self):
self.validate_correct_type_of_configuration_attribute("X_approximate_distribution", str)
if self.X_approximate_distribution not in ["auto", "normal", "count"]:
raise ConfigurationError(
"X_approx_distribution has unknown value -- must be 'auto', 'normal' or 'count'."
"X_approximate_distribution has unknown value -- must be 'auto', 'normal' or 'count'."
)