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rename X_approx_distribution to X_approximate_distribution (#2337)

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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
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backend/czi_hosted/data_cxg/cxg_adaptor.py
+7 -7
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@@ -8,7 +8,7 @@ import pandas as pd
import tiledb
from server_timing import Timing as ServerTiming
from backend.common.constants import Axis, XApproxDistribution
from backend.common.constants import Axis, XApproximateDistribution
from backend.common.errors import DatasetAccessError, ConfigurationError
from backend.czi_hosted.common.immutable_kvcache import ImmutableKVCache
from backend.common.utils.type_conversion_utils import get_schema_type_hint_from_dtype
@@ -37,7 +37,7 @@ class CxgAdaptor(DataAdaptor):
self.lsuri_results = ImmutableKVCache(lambda key: self._lsuri(uri=key, tiledb_ctx=self.tiledb_ctx))
self.arrays = ImmutableKVCache(lambda key: self._open_array(uri=key, tiledb_ctx=self.tiledb_ctx))
self.schema = None
self.X_approx_distribution = None
self.X_approximate_distribution = None
self._validate_and_initialize()
@@ -176,9 +176,9 @@ class CxgAdaptor(DataAdaptor):
if cxg_version not in ["0.0", "0.1", "0.2.0"]:
raise DatasetAccessError(f"cxg matrix is not valid: {self.url}")
if self.dataset_config.X_approx_distribution == "auto":
raise ConfigurationError("X-approx-distribution 'auto' mode unsupported.")
self.X_approx_distribution = self.dataset_config.X_approx_distribution
if self.dataset_config.X_approximate_distribution == "auto":
raise ConfigurationError("X-approximate-distribution 'auto' mode unsupported.")
self.X_approximate_distribution = self.dataset_config.X_approximate_distribution
self.title = title
self.about = about
@@ -286,8 +286,8 @@ class CxgAdaptor(DataAdaptor):
data = X.multi_index[obs_items, var_items][""]
return data
def get_X_approx_distribution(self) -> XApproxDistribution:
return self.X_approx_distribution
def get_X_approximate_distribution(self) -> XApproximateDistribution:
return self.X_approximate_distribution
def get_shape(self):
X = self.open_array("X")