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17.1 kB
| // #include "debug.cc" | |
| // anonymous namespace for helper functions | |
| namespace { | |
| namespace py = pybind11; | |
| bool issubdtype(py::dtype t1, py::dtype t2) { | |
| // TODO importing every time is Not Great... | |
| auto np = py::module::import("numpy"); | |
| auto npsubdtype = np.attr("issubdtype"); | |
| return py::cast<bool>(npsubdtype(t1, t2)); | |
| } | |
| template <typename T> py::dtype get_dtype(T obj) { | |
| auto &api = py::detail::npy_api::get(); | |
| if (api.PyArray_Check_(obj.ptr())) { | |
| return py::cast<py::array>(obj).dtype(); | |
| } | |
| return py::reinterpret_steal<py::dtype>( | |
| api.PyArray_DescrFromScalar_(obj.ptr())); | |
| } | |
| // check whether dtypes are equivalent from numpy perspective | |
| // note: d1::dtype.is(d2) checks *object identity* which is | |
| // not what we want. | |
| bool dtype_equal(py::dtype d1, py::dtype d2) { | |
| auto &api = py::detail::npy_api::get(); | |
| return api.PyArray_EquivTypes_(d1.ptr(), d2.ptr()); | |
| } | |
| }; // namespace | |
| namespace tiledbpy { | |
| using namespace std; | |
| using namespace tiledb; | |
| namespace py = pybind11; | |
| using namespace pybind11::literals; | |
| class NumpyConvert { | |
| private: | |
| bool use_iter_ = false; | |
| bool allow_unicode_ = true; | |
| size_t data_nbytes_ = 0; | |
| size_t input_len_ = 0; | |
| py::array input_; | |
| // we are using vector as a buffer here because they are grown in some | |
| // situations | |
| std::vector<uint8_t> *data_buf_; | |
| std::vector<uint64_t> *offset_buf_; | |
| void convert_unicode() { | |
| // Convert array of strings to UTF-8 buffer+offsets | |
| // NOTE: NumPy fixed-length string arrays *do not support* embedded nulls. | |
| // There is no string size stored, so string end is demarcated by \0 | |
| // and the slot is filled to the next boundary with \0. | |
| // For consistency and to avoid complications in other APIs, we are storing | |
| // all string arrays as var-length. | |
| // must have fixed-width element | |
| assert(input_.itemsize() > 0); | |
| // we know exact offset count | |
| offset_buf_->resize(input_len_); | |
| // we reserve the input length as a minimum size for output | |
| data_buf_->resize(input_len_); | |
| // size (bytes) of current object data | |
| Py_ssize_t sz = 0; | |
| // object data (string or bytes) | |
| const char *input_p = nullptr; | |
| unsigned char *output_p = nullptr; | |
| output_p = data_buf_->data(); | |
| // avoid one interpreter roundtrip | |
| auto npstrencode = py::module::import("numpy").attr("str_").attr("encode"); | |
| // return status | |
| int rc; | |
| // encoded object: this must live outside the if block or else it may be | |
| // GC'd | |
| // putting outside for loop to avoid repeat unused | |
| // construction | |
| py::object u_encoded; | |
| // loop over array objects and write to output buffer | |
| size_t idx = 0; | |
| for (auto u : input_) { | |
| // don't encode if we already have bytes | |
| if (PyUnicode_Check(u.ptr())) { | |
| // TODO see if we can do this with PyUnicode_AsUTF8String | |
| u_encoded = npstrencode(u); | |
| rc = PyBytes_AsStringAndSize(u_encoded.ptr(), | |
| const_cast<char **>(&input_p), &sz); | |
| } else { | |
| rc = PyBytes_AsStringAndSize(u.ptr(), const_cast<char **>(&input_p), | |
| &sz); | |
| } | |
| if (rc == -1) { | |
| throw std::runtime_error( | |
| "PyBytes_AsStringAndSize failed to encode string"); | |
| } | |
| // record the offset (equal to the current bytes written) | |
| offset_buf_->data()[idx] = data_nbytes_; | |
| if (data_buf_->size() < data_nbytes_ + sz) { | |
| data_buf_->resize(data_nbytes_ + sz); | |
| // update the output pointer and adjust for previous iteration | |
| output_p = data_buf_->data() + data_nbytes_; | |
| } | |
| memcpy(output_p, input_p, sz); | |
| data_nbytes_ += sz; | |
| output_p += sz; | |
| idx++; | |
| } | |
| data_buf_->resize(data_nbytes_); | |
| } | |
| void convert_bytes() { | |
| // Convert array of bytes objects or ASCII strings to buffer+offsets | |
| assert(input_.itemsize() > 0); // must have fixed-length array | |
| // we know exact offset count | |
| offset_buf_->resize(input_len_); | |
| // we reserve the input length as a minimum size for output | |
| data_buf_->resize(input_len_); | |
| // size (bytes) of current object data | |
| Py_ssize_t sz = 0; | |
| // object data (string or bytes) | |
| const char *input_p = nullptr; | |
| unsigned char *output_p = nullptr; | |
| output_p = data_buf_->data(); | |
| int rc; | |
| // avoid one interpreter roundtrip | |
| // auto npstrencode = | |
| // py::module::import("numpy").attr("str_").attr("encode"); | |
| // TODO: ideally we would encode directly here without the intermediate | |
| // unicode object | |
| // TODO add test for different memory orderings | |
| // loop over array objects and write to output buffer | |
| size_t idx = 0; | |
| for (auto obj : input_) { | |
| auto o = obj.ptr(); | |
| // don't encode if we already have bytes | |
| /* | |
| if (PyUnicode_Check(u.ptr())) { | |
| // TODO see if we can do this with PyUnicode_AsUTF8String | |
| u_encoded = npstrencode(u); | |
| } | |
| */ | |
| rc = PyBytes_AsStringAndSize(o, const_cast<char **>(&input_p), &sz); | |
| if (rc == -1) { | |
| throw std::runtime_error( | |
| "PyBytes_AsStringAndSize failed to encode string"); | |
| } | |
| // record the offset (equal to the current bytes written) | |
| offset_buf_->data()[idx] = data_nbytes_; | |
| if (data_buf_->size() < data_nbytes_ + sz) { | |
| data_buf_->resize(data_nbytes_ + sz); | |
| // update the output pointer and adjust for previous iteration | |
| output_p = data_buf_->data() + data_nbytes_; | |
| } | |
| memcpy(output_p, input_p, sz); | |
| data_nbytes_ += sz; | |
| output_p += sz; | |
| idx++; | |
| } | |
| } | |
| void convert_object() { | |
| // Convert np.dtype("O") array of objects to buffer+offsets | |
| auto &api = py::detail::npy_api::get(); | |
| offset_buf_->resize(input_len_); | |
| auto input_unchecked = input_.unchecked<py::object, 1>(); | |
| // size (bytes) of current object data | |
| Py_ssize_t sz = 0; | |
| // current data | |
| const char *input_p = nullptr; | |
| auto input_size = input_.size(); | |
| py::dtype first_dtype; | |
| // first pass: calculate final buffer length and cache UTF-8 representations | |
| for (int64_t idx = 0; idx < input_size; idx++) { | |
| offset_buf_->data()[idx] = data_nbytes_; | |
| PyObject *o = input_unchecked.data(idx)->ptr(); | |
| assert(o != nullptr); | |
| // NOTE: every branch below *must* initialize first_dtype | |
| if (PyUnicode_Check(o)) { | |
| if (!allow_unicode_) { | |
| // TODO TPY_ERROR_LOC | |
| auto errmsg = std::string( | |
| "Unexpected unicode object for TILEDB_STRING_ASCII attribute"); | |
| throw std::runtime_error(errmsg); | |
| } | |
| if (idx < 1) | |
| first_dtype = py::dtype("unicode"); | |
| // this will cache a utf-8 representation owned by the PyObject | |
| input_p = PyUnicode_AsUTF8AndSize(o, &sz); | |
| if (!input_p) { | |
| TPY_ERROR_LOC("Internal error: failed to convert unicode to UTF-8"); | |
| } | |
| } else if (PyBytes_Check(o)) { | |
| // ASCII only | |
| auto res = | |
| PyBytes_AsStringAndSize(o, const_cast<char **>(&input_p), &sz); | |
| if (idx < 1) | |
| first_dtype = py::dtype("bytes"); | |
| if (res == -1) { | |
| // TODO TPY_ERROR_LOC | |
| throw std::runtime_error( | |
| "Internal error: failed to get char* from bytes object"); | |
| } | |
| } else if (api.PyArray_Check_(o)) { | |
| auto a = py::cast<py::array>(o); | |
| // handle (potentially) var-len embedded arrays | |
| if (idx < 1) { | |
| first_dtype = get_dtype(a); | |
| } else if (!dtype_equal(get_dtype(a), first_dtype)) { | |
| throw py::type_error( | |
| "Mismatched dtype in object array to buffer conversion!"); | |
| } | |
| sz = a.nbytes(); | |
| } else if (PyBool_Check(o)) { | |
| if (idx < 1) | |
| first_dtype = py::dtype("bool"); | |
| auto a = py::cast<py::bool_>(o); | |
| sz = sizeof(bool); | |
| bool bool_value = a; | |
| input_p = reinterpret_cast<const char *>(&bool_value); | |
| } else { | |
| // TODO write the type in the error here | |
| // auto o_h = py::reinterpret_borrow<py::object>(o); | |
| // auto o_t = py::type::of(o); | |
| auto errmsg = | |
| std::string("Unexpected object type in string conversion"); | |
| TPY_ERROR_LOC(errmsg); | |
| } | |
| data_nbytes_ += sz; | |
| } | |
| data_buf_->resize(data_nbytes_); | |
| // second pass: copy the data to output buffer | |
| unsigned char *output_p = data_buf_->data(); | |
| // copy data to output buffers | |
| for (int64_t idx = 0; idx < input_size; idx++) { | |
| PyObject *pyobj_p = input_unchecked.data(idx)->ptr(); | |
| assert(pyobj_p != nullptr); | |
| if (PyUnicode_Check(pyobj_p)) { | |
| input_p = PyUnicode_AsUTF8AndSize(pyobj_p, &sz); | |
| assert(input_p != nullptr); | |
| } else if (PyBytes_Check(pyobj_p)) { | |
| // TODO error check? | |
| PyBytes_AsStringAndSize(pyobj_p, const_cast<char **>(&input_p), &sz); | |
| } else if (api.PyArray_Check_(pyobj_p)) { | |
| auto arr = py::cast<py::array>(pyobj_p); | |
| sz = arr.nbytes(); | |
| input_p = (const char *)arr.data(); | |
| } else if (PyBool_Check(pyobj_p)) { | |
| py::bool_ bool_obj = py::cast<py::bool_>(pyobj_p); | |
| sz = sizeof(bool); | |
| bool bool_value = bool_obj; | |
| input_p = reinterpret_cast<const char *>(&bool_value); | |
| } else { | |
| // TODO add object type | |
| TPY_ERROR_LOC("Unexpected object type in buffer conversion"); | |
| } | |
| memcpy(output_p, input_p, sz); | |
| // increment the output pointer for the next object | |
| output_p += sz; | |
| } | |
| } | |
| void convert_iter() { | |
| // Convert array of non-contiguous objects to buffer+offsets | |
| // using iterator protocol. | |
| // For non-contiguous arrays (such as views) we must iterate rather | |
| // than indexing directly. | |
| auto &npy_api = py::detail::npy_api::get(); | |
| offset_buf_->resize(input_.size()); | |
| auto iter = input_.attr("flat"); | |
| // size (bytes) of current object data | |
| Py_ssize_t sz = 0; | |
| // current data | |
| const char *input_p = nullptr; | |
| size_t idx = 0; | |
| py::dtype first_dtype; | |
| for (auto obj_h : iter) { | |
| if (idx < 1) { | |
| // record the first dtype for consistency check | |
| first_dtype = get_dtype(obj_h); | |
| } | |
| offset_buf_->data()[idx] = data_nbytes_; | |
| PyObject *obj_p = obj_h.ptr(); | |
| // we must check each dtype because object arrays are not guaranteed to | |
| // be homogenous | |
| auto cur_dtype = get_dtype(obj_h); | |
| auto err_str = | |
| std::string("Mismatched element type in buffer conversion!"); | |
| if ((first_dtype.kind() == cur_dtype.kind()) || | |
| (first_dtype.kind() == cur_dtype.kind())) { | |
| // pass | |
| } else if (!dtype_equal(cur_dtype, first_dtype)) { | |
| throw py::type_error(err_str); | |
| } | |
| if (PyUnicode_Check(obj_p)) { | |
| if (!allow_unicode_) { | |
| // TODO TPY_ERROR_LOC | |
| auto errmsg = std::string( | |
| "Unexpected unicode object for TILEDB_STRING_ASCII attribute"); | |
| throw std::runtime_error(errmsg); | |
| } | |
| // this will cache a utf-8 representation owned by the PyObject | |
| input_p = PyUnicode_AsUTF8AndSize(obj_p, &sz); | |
| if (!input_p) { | |
| TPY_ERROR_LOC("Internal error: failed to convert unicode to UTF-8"); | |
| } | |
| } else if (PyBytes_Check(obj_p)) { | |
| // ASCII only | |
| auto res = | |
| PyBytes_AsStringAndSize(obj_p, const_cast<char **>(&input_p), &sz); | |
| if (res == -1) { | |
| // TODO TPY_ERROR_LOC | |
| throw std::runtime_error( | |
| "Internal error: failed to get char* from bytes object"); | |
| } | |
| } else if (npy_api.PyArray_Check_(obj_p)) { | |
| // handle (potentially) var-len embedded arrays | |
| sz = py::cast<py::array>(obj_p).nbytes(); | |
| } else if (PyBool_Check(obj_p)) { | |
| if (idx < 1) | |
| first_dtype = py::dtype("bool"); | |
| py::bool_ bool_obj = py::cast<py::bool_>(obj_p); | |
| sz = sizeof(bool); | |
| bool bool_value = bool_obj; | |
| input_p = reinterpret_cast<const char *>(&bool_value); | |
| } else { | |
| auto errmsg = | |
| std::string("Unexpected object type in string conversion"); | |
| TPY_ERROR_LOC(errmsg); | |
| } | |
| data_nbytes_ += sz; | |
| idx++; | |
| } | |
| data_buf_->resize(data_nbytes_); | |
| // second pass: write the data to output buffer | |
| unsigned char *output_p = data_buf_->data(); | |
| // reset the iterator | |
| iter = input_.attr("flat"); | |
| // copy data to output buffers | |
| for (auto obj_h : iter) { | |
| auto obj_p = obj_h.ptr(); | |
| if (PyUnicode_Check(obj_p)) { | |
| input_p = PyUnicode_AsUTF8AndSize(obj_p, &sz); | |
| assert(input_p != nullptr); | |
| } else if (PyBytes_Check(obj_p)) { | |
| // TODO error check? | |
| PyBytes_AsStringAndSize(obj_p, const_cast<char **>(&input_p), &sz); | |
| } else if (npy_api.PyArray_Check_(obj_p)) { | |
| // auto pao = (PyArrayObject*)o; | |
| // input_p = (const char*)PyArray_DATA(pao); | |
| // sz = PyArray_NBYTES(pao); | |
| auto o_a = py::cast<py::array>(obj_h); | |
| sz = o_a.nbytes(); | |
| input_p = (const char *)o_a.data(); | |
| } else if (PyBool_Check(obj_p)) { | |
| py::bool_ bool_obj = py::cast<py::bool_>(obj_p); | |
| sz = sizeof(bool); | |
| bool bool_value = bool_obj; | |
| input_p = reinterpret_cast<const char *>(&bool_value); | |
| } else { | |
| TPY_ERROR_LOC("Unexpected object type in buffer conversion"); | |
| } | |
| memcpy(output_p, input_p, sz); | |
| // increment the output pointer for the next object | |
| output_p += sz; | |
| } | |
| } | |
| public: | |
| /* | |
| Initialize the converter | |
| */ | |
| NumpyConvert(py::array input) { | |
| // require a flat buffer | |
| if (input.ndim() != 1) { | |
| // try to take a 1D view on the input | |
| auto v = input.attr("view")(); | |
| // this will throw if the shape cannot be modified zero-copy, | |
| // which is what we want | |
| try { | |
| v.attr("shape") = py::int_(input.size()); | |
| } catch (py::error_already_set &e) { | |
| if (e.matches(PyExc_AttributeError)) { | |
| use_iter_ = true; | |
| } else { | |
| throw; | |
| } | |
| } catch (std::exception &e) { | |
| std::cout << e.what() << std::endl; | |
| } | |
| input_ = v; | |
| } else { | |
| input_ = input; | |
| } | |
| input_len_ = py::len(input_); | |
| data_buf_ = new std::vector<uint8_t>(); | |
| offset_buf_ = new std::vector<uint64_t>(input_len_); | |
| } | |
| ~NumpyConvert() { | |
| if (data_buf_) | |
| delete data_buf_; | |
| if (offset_buf_) | |
| delete offset_buf_; | |
| } | |
| /* | |
| Set allow_unicode_ flag | |
| */ | |
| bool allow_unicode() { return allow_unicode_; } | |
| void allow_unicode(bool allow_unicode) { allow_unicode_ = allow_unicode; } | |
| /* | |
| Returns a tuple of py::array containing | |
| (data:array_t<uint8>, offsets:array_t<uint64_t>) | |
| */ | |
| py::tuple get() { | |
| auto input_dtype = input_.dtype(); | |
| if (use_iter_) { | |
| // slow, safe path | |
| convert_iter(); | |
| } else if (issubdtype(input_dtype, py::dtype("unicode"))) { | |
| if (allow_unicode_) { | |
| convert_unicode(); | |
| } else { | |
| throw std::runtime_error("Unexpected fixed-length unicode array"); | |
| } | |
| } else if (issubdtype(input_dtype, py::dtype("bytes"))) { | |
| convert_bytes(); | |
| } else if (!input_dtype.equal(py::dtype("O"))) { | |
| // TODO TPY_ERROR_LOC | |
| throw std::runtime_error("expected object array"); | |
| } else { | |
| convert_object(); | |
| } | |
| auto tmp_data_buf_p = data_buf_; | |
| auto data_ref = py::capsule(data_buf_, [](void *v) { | |
| delete reinterpret_cast<std::vector<uint8_t> *>(v); | |
| }); | |
| data_buf_ = nullptr; // disown: capsule owns it | |
| auto tmp_offset_buf_p = offset_buf_; | |
| auto offset_ref = py::capsule(offset_buf_, [](void *v) { | |
| delete reinterpret_cast<std::vector<uint64_t> *>(v); | |
| }); | |
| offset_buf_ = nullptr; // disown: capsule owns it now | |
| auto data_np = py::array_t<uint8_t>(tmp_data_buf_p->size(), | |
| tmp_data_buf_p->data(), data_ref); | |
| auto offset_np = py::array_t<uint64_t>( | |
| tmp_offset_buf_p->size(), tmp_offset_buf_p->data(), offset_ref); | |
| return py::make_tuple(data_np, offset_np); | |
| } | |
| }; | |
| py::tuple convert_np(py::array input, bool allow_unicode, | |
| bool use_fallback = false) { | |
| if (use_fallback) { | |
| auto tiledb = py::module::import("tiledb"); | |
| auto libtiledb = tiledb.attr("libtiledb"); | |
| auto array_to_buffer = libtiledb.attr("array_to_buffer"); | |
| return array_to_buffer(input); | |
| } else { | |
| NumpyConvert cvt(input); | |
| cvt.allow_unicode(allow_unicode); | |
| return cvt.get(); | |
| } | |
| } | |
| }; // namespace tiledbpy | |