CLN: remove outdated arrow compat

pandas/core/arrays/_arrow_utils.py

@@ -1,13 +1,10 @@
-from distutils.version import LooseVersion
 import json
 
 import numpy as np
 import pyarrow
 
 from pandas.core.arrays.interval import VALID_CLOSED
 
-_pyarrow_version_ge_015 = LooseVersion(pyarrow.__version__) >= LooseVersion("0.15")
-
 
 def pyarrow_array_to_numpy_and_mask(arr, dtype):
     """
@@ -48,97 +45,97 @@ def pyarrow_array_to_numpy_and_mask(arr, dtype):
     return data, mask
 
 
-if _pyarrow_version_ge_015:
-    # the pyarrow extension types are only available for pyarrow 0.15+
-
-    class ArrowPeriodType(pyarrow.ExtensionType):
-        def __init__(self, freq):
-            # attributes need to be set first before calling
-            # super init (as that calls serialize)
-            self._freq = freq
-            pyarrow.ExtensionType.__init__(self, pyarrow.int64(), "pandas.period")
-
-        @property
-        def freq(self):
-            return self._freq
-
-        def __arrow_ext_serialize__(self):
-            metadata = {"freq": self.freq}
-            return json.dumps(metadata).encode()
-
-        @classmethod
-        def __arrow_ext_deserialize__(cls, storage_type, serialized):
-            metadata = json.loads(serialized.decode())
-            return ArrowPeriodType(metadata["freq"])
-
-        def __eq__(self, other):
-            if isinstance(other, pyarrow.BaseExtensionType):
-                return type(self) == type(other) and self.freq == other.freq
-            else:
-                return NotImplemented
-
-        def __hash__(self):
-            return hash((str(self), self.freq))
-
-        def to_pandas_dtype(self):
-            import pandas as pd
-
-            return pd.PeriodDtype(freq=self.freq)
-
-    # register the type with a dummy instance
-    _period_type = ArrowPeriodType("D")
-    pyarrow.register_extension_type(_period_type)
-
-    class ArrowIntervalType(pyarrow.ExtensionType):
-        def __init__(self, subtype, closed):
-            # attributes need to be set first before calling
-            # super init (as that calls serialize)
-            assert closed in VALID_CLOSED
-            self._closed = closed
-            if not isinstance(subtype, pyarrow.DataType):
-                subtype = pyarrow.type_for_alias(str(subtype))
-            self._subtype = subtype
-
-            storage_type = pyarrow.struct([("left", subtype), ("right", subtype)])
-            pyarrow.ExtensionType.__init__(self, storage_type, "pandas.interval")
-
-        @property
-        def subtype(self):
-            return self._subtype
-
-        @property
-        def closed(self):
-            return self._closed
-
-        def __arrow_ext_serialize__(self):
-            metadata = {"subtype": str(self.subtype), "closed": self.closed}
-            return json.dumps(metadata).encode()
-
-        @classmethod
-        def __arrow_ext_deserialize__(cls, storage_type, serialized):
-            metadata = json.loads(serialized.decode())
-            subtype = pyarrow.type_for_alias(metadata["subtype"])
-            closed = metadata["closed"]
-            return ArrowIntervalType(subtype, closed)
-
-        def __eq__(self, other):
-            if isinstance(other, pyarrow.BaseExtensionType):
-                return (
-                    type(self) == type(other)
-                    and self.subtype == other.subtype
-                    and self.closed == other.closed
-                )
-            else:
-                return NotImplemented
-
-        def __hash__(self):
-            return hash((str(self), str(self.subtype), self.closed))
-
-        def to_pandas_dtype(self):
-            import pandas as pd
-
-            return pd.IntervalDtype(self.subtype.to_pandas_dtype(), self.closed)
-
-    # register the type with a dummy instance
-    _interval_type = ArrowIntervalType(pyarrow.int64(), "left")
-    pyarrow.register_extension_type(_interval_type)
+class ArrowPeriodType(pyarrow.ExtensionType):
+    def __init__(self, freq):
+        # attributes need to be set first before calling
+        # super init (as that calls serialize)
+        self._freq = freq
+        pyarrow.ExtensionType.__init__(self, pyarrow.int64(), "pandas.period")
+
+    @property
+    def freq(self):
+        return self._freq
+
+    def __arrow_ext_serialize__(self):
+        metadata = {"freq": self.freq}
+        return json.dumps(metadata).encode()
+
+    @classmethod
+    def __arrow_ext_deserialize__(cls, storage_type, serialized):
+        metadata = json.loads(serialized.decode())
+        return ArrowPeriodType(metadata["freq"])
+
+    def __eq__(self, other):
+        if isinstance(other, pyarrow.BaseExtensionType):
+            return type(self) == type(other) and self.freq == other.freq
+        else:
+            return NotImplemented
+
+    def __hash__(self):
+        return hash((str(self), self.freq))
+
+    def to_pandas_dtype(self):
+        import pandas as pd
+
+        return pd.PeriodDtype(freq=self.freq)
+
+
+# register the type with a dummy instance
+_period_type = ArrowPeriodType("D")
+pyarrow.register_extension_type(_period_type)
+
+
+class ArrowIntervalType(pyarrow.ExtensionType):
+    def __init__(self, subtype, closed):
+        # attributes need to be set first before calling
+        # super init (as that calls serialize)
+        assert closed in VALID_CLOSED
+        self._closed = closed
+        if not isinstance(subtype, pyarrow.DataType):
+            subtype = pyarrow.type_for_alias(str(subtype))
+        self._subtype = subtype
+
+        storage_type = pyarrow.struct([("left", subtype), ("right", subtype)])
+        pyarrow.ExtensionType.__init__(self, storage_type, "pandas.interval")
+
+    @property
+    def subtype(self):
+        return self._subtype
+
+    @property
+    def closed(self):
+        return self._closed
+
+    def __arrow_ext_serialize__(self):
+        metadata = {"subtype": str(self.subtype), "closed": self.closed}
+        return json.dumps(metadata).encode()
+
+    @classmethod
+    def __arrow_ext_deserialize__(cls, storage_type, serialized):
+        metadata = json.loads(serialized.decode())
+        subtype = pyarrow.type_for_alias(metadata["subtype"])
+        closed = metadata["closed"]
+        return ArrowIntervalType(subtype, closed)
+
+    def __eq__(self, other):
+        if isinstance(other, pyarrow.BaseExtensionType):
+            return (
+                type(self) == type(other)
+                and self.subtype == other.subtype
+                and self.closed == other.closed
+            )
+        else:
+            return NotImplemented
+
+    def __hash__(self):
+        return hash((str(self), str(self.subtype), self.closed))
+
+    def to_pandas_dtype(self):
+        import pandas as pd
+
+        return pd.IntervalDtype(self.subtype.to_pandas_dtype(), self.closed)
+
+
+# register the type with a dummy instance
+_interval_type = ArrowIntervalType(pyarrow.int64(), "left")
+pyarrow.register_extension_type(_interval_type)