peacock-data-public-datasets-idc-cronscript
/
venv
/lib
/python3.10
/site-packages
/pyarrow
/src
/arrow
/python
/helpers.h
// Licensed to the Apache Software Foundation (ASF) under one | |
// or more contributor license agreements. See the NOTICE file | |
// distributed with this work for additional information | |
// regarding copyright ownership. The ASF licenses this file | |
// to you 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. | |
namespace arrow { | |
namespace py { | |
class OwnedRef; | |
// \brief Get an arrow DataType instance from Arrow's Type::type enum | |
// \param[in] type One of the values of Arrow's Type::type enum | |
// \return A shared pointer to DataType | |
ARROW_PYTHON_EXPORT std::shared_ptr<DataType> GetPrimitiveType(Type::type type); | |
// \brief Construct a np.float16 object from a npy_half value. | |
ARROW_PYTHON_EXPORT PyObject* PyHalf_FromHalf(npy_half value); | |
// \brief Convert a Python object to a npy_half value. | |
ARROW_PYTHON_EXPORT Status PyFloat_AsHalf(PyObject* obj, npy_half* out); | |
namespace internal { | |
// \brief Check that a Python module has been already imported | |
// \param[in] module_name The name of the module | |
Result<bool> IsModuleImported(const std::string& module_name); | |
// \brief Import a Python module | |
// \param[in] module_name The name of the module | |
// \param[out] ref The OwnedRef containing the module PyObject* | |
ARROW_PYTHON_EXPORT | |
Status ImportModule(const std::string& module_name, OwnedRef* ref); | |
// \brief Import an object from a Python module | |
// \param[in] module A Python module | |
// \param[in] name The name of the object to import | |
// \param[out] ref The OwnedRef containing the \c name attribute of the Python module \c | |
// module | |
ARROW_PYTHON_EXPORT | |
Status ImportFromModule(PyObject* module, const std::string& name, OwnedRef* ref); | |
// \brief Check whether obj is an integer, independent of Python versions. | |
inline bool IsPyInteger(PyObject* obj) { return PyLong_Check(obj); } | |
// \brief Import symbols from pandas that we need for various type-checking, | |
// like pandas.NaT or pandas.NA | |
void InitPandasStaticData(); | |
// \brief Use pandas missing value semantics to check if a value is null | |
ARROW_PYTHON_EXPORT | |
bool PandasObjectIsNull(PyObject* obj); | |
// \brief Check that obj is a pandas.Timedelta instance | |
ARROW_PYTHON_EXPORT | |
bool IsPandasTimedelta(PyObject* obj); | |
// \brief Check that obj is a pandas.Timestamp instance | |
bool IsPandasTimestamp(PyObject* obj); | |
// \brief Returned a borrowed reference to the pandas.tseries.offsets.DateOffset | |
PyObject* BorrowPandasDataOffsetType(); | |
// \brief Check whether obj is a floating-point NaN | |
ARROW_PYTHON_EXPORT | |
bool PyFloat_IsNaN(PyObject* obj); | |
inline bool IsPyBinary(PyObject* obj) { | |
return PyBytes_Check(obj) || PyByteArray_Check(obj) || PyMemoryView_Check(obj); | |
} | |
// \brief Convert a Python integer into a C integer | |
// \param[in] obj A Python integer | |
// \param[out] out A pointer to a C integer to hold the result of the conversion | |
// \return The status of the operation | |
template <typename Int> | |
Status CIntFromPython(PyObject* obj, Int* out, const std::string& overflow_message = ""); | |
// \brief Convert a Python unicode string to a std::string | |
ARROW_PYTHON_EXPORT | |
Status PyUnicode_AsStdString(PyObject* obj, std::string* out); | |
// \brief Convert a Python bytes object to a std::string | |
ARROW_PYTHON_EXPORT | |
std::string PyBytes_AsStdString(PyObject* obj); | |
// \brief Call str() on the given object and return the result as a std::string | |
ARROW_PYTHON_EXPORT | |
Status PyObject_StdStringStr(PyObject* obj, std::string* out); | |
// \brief Return the repr() of the given object (always succeeds) | |
ARROW_PYTHON_EXPORT | |
std::string PyObject_StdStringRepr(PyObject* obj); | |
// \brief Cast the given size to int32_t, with error checking | |
inline Status CastSize(Py_ssize_t size, int32_t* out, | |
const char* error_msg = "Maximum size exceeded (2GB)") { | |
// size is assumed to be positive | |
if (size > std::numeric_limits<int32_t>::max()) { | |
return Status::Invalid(error_msg); | |
} | |
*out = static_cast<int32_t>(size); | |
return Status::OK(); | |
} | |
inline Status CastSize(Py_ssize_t size, int64_t* out, const char* error_msg = NULLPTR) { | |
// size is assumed to be positive | |
*out = static_cast<int64_t>(size); | |
return Status::OK(); | |
} | |
// \brief Print the Python object's __str__ form along with the passed error | |
// message | |
ARROW_PYTHON_EXPORT | |
Status InvalidValue(PyObject* obj, const std::string& why); | |
ARROW_PYTHON_EXPORT | |
Status InvalidType(PyObject* obj, const std::string& why); | |
ARROW_PYTHON_EXPORT | |
Status IntegerScalarToDoubleSafe(PyObject* obj, double* result); | |
ARROW_PYTHON_EXPORT | |
Status IntegerScalarToFloat32Safe(PyObject* obj, float* result); | |
// \brief Print Python object __repr__ | |
void DebugPrint(PyObject* obj); | |
} // namespace internal | |
} // namespace py | |
} // namespace arrow | |