Standardize newlines at ends of files. (#12042)

This PR makes all files end with exactly one newline and enforces that rule with a pre-commit hook. The vast majority of files already comply with this rule, which improves consistency in the library's code style.

Authors:
  - Bradley Dice (https://github.com/bdice)

Approvers:
  - Vukasin Milovanovic (https://github.com/vuule)
  - GALI PREM SAGAR (https://github.com/galipremsagar)
  - Mark Sadang (https://github.com/msadang)
  - Matthew Roeschke (https://github.com/mroeschke)
  - Robert Maynard (https://github.com/robertmaynard)
  - Nghia Truong (https://github.com/ttnghia)

URL: #12042

.pre-commit-config.yaml

@@ -1,6 +1,14 @@
 # Copyright (c) 2019-2022, NVIDIA CORPORATION.
 
 repos:
+      - repo: https://github.com/pre-commit/pre-commit-hooks
+        rev: v4.3.0
+        hooks:
+              - id: end-of-file-fixer
+                exclude: |
+                  (?x)^(
+                    ^python/cudf/cudf/tests/data/subword_tokenizer_data/.*
+                  )
       - repo: https://github.com/PyCQA/isort
         rev: 5.10.1
         hooks:

cpp/benchmarks/reduction/rank.cpp

@@ -61,4 +61,4 @@ NVBENCH_BENCH_TYPES(nvbench_reduction_scan, NVBENCH_TYPE_AXES(data_type))
                     1000000,    // 1M
                     10000000,   // 10M
                     100000000,  // 100M
-                  });
+                  });

cpp/include/cudf/detail/utilities/algorithm.cuh

@@ -25,4 +25,4 @@ __device__ __forceinline__ T accumulate(Iterator first, Iterator last, T init, B
   }
   return init;
 }
-}  // namespace cudf::detail
+}  // namespace cudf::detail

cpp/include/cudf/detail/utilities/linked_column.hpp

@@ -77,4 +77,4 @@ inline LinkedColVector table_to_linked_columns(table_view const& table)
   return LinkedColVector(linked_it, linked_it + table.num_columns());
 }
 
-}  // namespace cudf::detail
+}  // namespace cudf::detail

cpp/include/cudf_test/detail/column_utilities.hpp

@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2020, NVIDIA CORPORATION.
+ * Copyright (c) 2020-2022, NVIDIA CORPORATION.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -82,4 +82,4 @@ std::vector<std::string> to_strings(cudf::column_view const& col, std::string co
 
 }  // namespace detail
 }  // namespace test
-}  // namespace cudf
+}  // namespace cudf

cpp/src/text/subword/detail/codepoint_metadata.ah

@@ -13464,4 +13464,3 @@ uint64_t aux_cp_data_119134_119232[] = {
 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,
 0,0,0,0,0,0,0,0,0,0,511706698612736,511706698612736,511706698731886,511706698731886,511706698731887,511706698731887
 };
-

cpp/tests/strings/json_tests.cpp

@@ -1012,4 +1012,4 @@ TEST_F(JsonPathTests, MissingFieldsAsNulls)
   do_test("$.tup[*].array", "[[1,2],[3,4]]", "[[1,2],null,[3,4],null]");
   do_test("$.x[*].array", "", "null", false);
   do_test("$.tup[*].a.x", "[\"5\"]", "[null,null,null,\"5\"]");
-}
+}

docs/cudf/source/_templates/autosummary/class_with_autosummary.rst

@@ -30,4 +30,4 @@
       {%- endfor %}
 
 {% endif %}
-{% endblock %}
+{% endblock %}

docs/cudf/source/_templates/autosummary/class_without_autosummary.rst

@@ -3,4 +3,4 @@
 
 .. currentmodule:: {{ module }}
 
-.. autoclass:: {{ objname }}
+.. autoclass:: {{ objname }}

docs/cudf/source/api_docs/window.rst

@@ -23,4 +23,3 @@ Rolling window functions
    Rolling.min
    Rolling.max
    Rolling.apply
-

docs/cudf/source/user_guide/cudf.CategoricalDtype.rst

@@ -16,4 +16,4 @@ cudf.CategoricalDtype
       CategoricalDtype.categories
       CategoricalDtype.ordered
       CategoricalDtype.from_pandas
-      CategoricalDtype.to_pandas
+      CategoricalDtype.to_pandas

docs/cudf/source/user_guide/cudf.Decimal128Dtype.rst

@@ -17,4 +17,4 @@ cudf.Decimal128Dtype
       Decimal128Dtype.scale
       Decimal128Dtype.itemsize
       Decimal128Dtype.to_arrow
-      Decimal128Dtype.from_arrow
+      Decimal128Dtype.from_arrow

docs/cudf/source/user_guide/cudf.Decimal32Dtype.rst

@@ -17,4 +17,4 @@ cudf.Decimal32Dtype
       Decimal32Dtype.scale
       Decimal32Dtype.itemsize
       Decimal32Dtype.to_arrow
-      Decimal32Dtype.from_arrow
+      Decimal32Dtype.from_arrow

docs/cudf/source/user_guide/cudf.Decimal64Dtype.rst

@@ -17,4 +17,4 @@ cudf.Decimal64Dtype
       Decimal64Dtype.scale
       Decimal64Dtype.itemsize
       Decimal64Dtype.to_arrow
-      Decimal64Dtype.from_arrow
+      Decimal64Dtype.from_arrow

docs/cudf/source/user_guide/cudf.ListDtype.rst

@@ -16,4 +16,4 @@ cudf.ListDtype
       ListDtype.element_type
       ListDtype.leaf_type
       ListDtype.from_arrow
-      ListDtype.to_arrow
+      ListDtype.to_arrow

docs/cudf/source/user_guide/cudf.StructDtype.rst

@@ -15,4 +15,4 @@ cudf.StructDtype
       
       StructDtype.fields
       StructDtype.from_arrow
-      StructDtype.to_arrow
+      StructDtype.to_arrow

java/ci/README.md

@@ -48,4 +48,3 @@ scl enable devtoolset-9 "java/ci/build-in-docker.sh"
 ### The output
 
 You can find the cuDF jar in java/target/ like cudf-22.12.0-SNAPSHOT-cuda11.jar.
-

java/src/main/java/ai/rapids/cudf/DeviceMemoryBufferView.java

@@ -36,4 +36,4 @@ public class DeviceMemoryBufferView extends BaseDeviceMemoryBuffer {
   public synchronized final DeviceMemoryBufferView slice(long offset, long len) {
     throw new UnsupportedOperationException("Slice on view is not supported");
   }
-}
+}

java/src/main/java/ai/rapids/cudf/ReplacePolicyWithColumn.java

@@ -43,4 +43,4 @@ public boolean equals(Object other) {
   public int hashCode() {
     return 31 * column + policy.hashCode();
   }
-}
+}

java/src/main/java/ai/rapids/cudf/StreamedTableReader.java

@@ -39,4 +39,4 @@ public interface StreamedTableReader extends AutoCloseable {
 
     @Override
     void close() throws CudfException;
-}
+}

java/src/main/java/ai/rapids/cudf/WindowOptions.java

@@ -328,4 +328,4 @@ public void close() {
       followingCol.close();
     }
   }
-}
+}

java/src/main/native/.clang-format

@@ -202,4 +202,3 @@ Standard:        Cpp11
 TabWidth:        8
 UseTab:          Never
 ...
-

java/src/main/native/src/dtype_utils.hpp

@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2020, NVIDIA CORPORATION.
+ * Copyright (c) 2020-2022, NVIDIA CORPORATION.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -62,4 +62,4 @@ inline cudf::data_type make_data_type(jint out_dtype, jint scale) {
 }
 
 } // namespace jni
-} // namespace cudf
+} // namespace cudf

java/src/test/java/ai/rapids/cudf/PinnedMemoryPoolTest.java

@@ -131,4 +131,4 @@ void testZeroSizedAllocation() {
     }
     assertEquals(poolSize, PinnedMemoryPool.getAvailableBytes());
   }
-}
+}

python/cudf/cudf/_fuzz_testing/tests/readme.md

@@ -97,4 +97,4 @@ def set_rand_params(self, params):
         else:
             params_dict[param] = np.random.choice(values)
     self._current_params["test_kwargs"] = self.process_kwargs(params_dict)
-```
+```

python/cudf/cudf/benchmarks/README.md

@@ -30,5 +30,3 @@ pytest --use_buffer True cudf/benchmarks/
 ```
 pytest --dataset_dir directory_path cudf/benchmarks/
 ```
-
-

python/cudf_kafka/setup.cfg

@@ -41,4 +41,3 @@ skip=
     build
     dist
     __init__.py
-