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ENH: Data management update to support SUA ifaces for Homogen OneDAL tables #2045
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55c9565
ENH: Data management update to support SUA ifaces
samir-nasibli 402ac3e
Merge branch 'intel:main' into enh/sua_data_management
samir-nasibli 67dcba0
TEST: added memory leak tests
samir-nasibli 1bf8d72
TEST: enabled tests for the dpnp/dpctl inputs
samir-nasibli 946575a
updating dpnp conversion support
samir-nasibli 9ba65c7
comment for the test_data.py
samir-nasibli 39a5531
backup last changes
samir-nasibli 7fc1d87
update
samir-nasibli 7023bb5
minor fix
samir-nasibli 8ddfeb5
Merge branch 'intel:main' into enh/sua_data_management
samir-nasibli 09bff4a
Merge branch 'intel:main' into enh/sua_data_management
samir-nasibli aa14417
update to_table, from_table API
samir-nasibli 05473c5
WO for checking tests
samir-nasibli 1c0933b
minor updates
samir-nasibli 70f6ff5
minopr fix for the test
samir-nasibli ff21324
more test cov
samir-nasibli 9a94cfa
update _assert_tensor_attr
samir-nasibli a9c2aa9
initial refactoring
samir-nasibli bf5c5d1
minor formating
samir-nasibli 6b0e3e2
move numpy_helpers into utils
samir-nasibli 9d3cd89
minor update
samir-nasibli de12203
Merge branch 'intel:main' into enh/sua_data_management
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Original file line number | Diff line number | Diff line change |
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/******************************************************************************* | ||
* Copyright 2024 Intel Corporation | ||
* | ||
* Licensed under the Apache License, Version 2.0 (the "License"); | ||
* you may not use this file except in compliance with the License. | ||
* You may obtain a copy of the License at | ||
* | ||
* http://www.apache.org/licenses/LICENSE-2.0 | ||
* | ||
* Unless required by applicable law or agreed to in writing, software | ||
* distributed under the License is distributed on an "AS IS" BASIS, | ||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
* See the License for the specific language governing permissions and | ||
* limitations under the License. | ||
*******************************************************************************/ | ||
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#include <cstdint> | ||
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namespace oneapi::dal::python { | ||
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union endian_checker { | ||
std::uint64_t blob; | ||
std::uint8_t arr[8]; | ||
}; | ||
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bool is_little_endian_impl() { | ||
constexpr std::uint64_t one = 0xfful; | ||
constexpr endian_checker checker{ one }; | ||
return static_cast<bool>(checker.arr[0]); | ||
} | ||
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bool is_little_endian() { | ||
static const bool value = is_little_endian_impl(); | ||
return value; | ||
} | ||
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bool is_big_endian() { | ||
return !is_little_endian(); | ||
} | ||
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} // namespace oneapi::dal |
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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,39 @@ | ||
/******************************************************************************* | ||
* Copyright 2024 Intel Corporation | ||
* | ||
* Licensed under the Apache License, Version 2.0 (the "License"); | ||
* you may not use this file except in compliance with the License. | ||
* You may obtain a copy of the License at | ||
* | ||
* http://www.apache.org/licenses/LICENSE-2.0 | ||
* | ||
* Unless required by applicable law or agreed to in writing, software | ||
* distributed under the License is distributed on an "AS IS" BASIS, | ||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
* See the License for the specific language governing permissions and | ||
* limitations under the License. | ||
*******************************************************************************/ | ||
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#pragma once | ||
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#include <unordered_map> | ||
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namespace oneapi::dal::python { | ||
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template <typename Key, typename Value> | ||
inline auto inverse_map(const std::unordered_map<Key, Value>& input) | ||
-> std::unordered_map<Value, Key> { | ||
const auto b_count = input.bucket_count(); | ||
std::unordered_map<Value, Key> output(b_count); | ||
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for (const auto& [key, value] : input) { | ||
output.emplace(value, key); | ||
} | ||
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return output; | ||
} | ||
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bool is_big_endian(); | ||
bool is_little_endian(); | ||
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} // namespace oneapi::dal |
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Requires enhancement for the each dataframe format type supported