Document and enforce minimum dependency versions.

cpp/test/generated/CMakeLists.txt

@@ -6,16 +6,23 @@
 # target_link_libraries(<your target> test_model_generated)
 # add_subdirectory(<path to this directory>)
 
-find_package(date REQUIRED)
+set(HOWARD_HINNANT_DATE_MINIMUM_VERSION "3.0.0")
+find_package(date ${HOWARD_HINNANT_DATE_MINIMUM_VERSION} REQUIRED)
 
 if(VCPKG_TARGET_TRIPLET)
   set(HDF5_CXX_LIBRARIES hdf5::hdf5_cpp-shared)
 else()
   set(HDF5_CXX_LIBRARIES hdf5::hdf5_cpp)
 endif()
 
-find_package(HDF5 REQUIRED COMPONENTS C CXX)
-find_package(xtensor REQUIRED)
+set(HDF5_MINIMUM_VERSION "1.10.5")
+find_package(HDF5 ${HDF5_MINIMUM_VERSION} REQUIRED COMPONENTS C CXX)
+
+set(XTENSOR_MINIMUM_VERSION "0.21.10")
+find_package(xtensor ${XTENSOR_MINIMUM_VERSION} REQUIRED)
+
+set(NLOHMANN_JSON_MINIMUM_VERSION "3.11.1")
+find_package(nlohmann_json ${NLOHMANN_JSON_MINIMUM_VERSION} REQUIRED)
 add_library(test_model_generated OBJECT
   factories.cc
   protocols.cc
@@ -31,6 +38,7 @@ target_link_libraries(test_model_generated
   PUBLIC ${HDF5_CXX_LIBRARIES}
   PUBLIC xtensor
   PUBLIC date::date
+  PUBLIC nlohmann_json::nlohmann_json
 )
 
 add_library(test_model_generated_mocks OBJECT

docs/cpp/installation.md

@@ -7,11 +7,14 @@
 In order to compile the C++ code that `yardl` generates, you will need to have a
 C++17 (or more recent) compiler and the following dependencies installed:
 
-1. HDF5 with the [C++ API](https://support.hdfgroup.org/HDF5/doc/cpplus_RM/).
-2. [xtensor](https://xtensor.readthedocs.io/en/latest/)
+1. HDF5 with the [C++ API](https://support.hdfgroup.org/HDF5/doc/cpplus_RM/),
+   version 1.10.5 or later.
+2. [xtensor](https://xtensor.readthedocs.io/en/latest/), version 0.21.10 or
+   later.
 3. Howard Hinnant's [date](https://howardhinnant.github.io/date/date.html)
-   library.
-4. [JSON for Modern C++](https://github.com/nlohmann/json).
+   library, version 3.0.0 or later.
+4. [JSON for Modern C++](https://github.com/nlohmann/json), version: 3.11.1 or
+   later.
 
 ### Conda
 

docs/python/quickstart.md

@@ -6,7 +6,8 @@
 
 ### Dependencies
 
-The generated Python code requires Python 3.9 or newer and you need to have [NumPy](https://numpy.org/install/) installed.
+The generated Python code requires Python 3.9 or newer and you need to have
+[NumPy](https://numpy.org/install/) version 1.22.0 or later installed.
 
 ## Getting our Feet Wet
 

python/test_model/__init__.py

@@ -1,5 +1,22 @@
 # This file was generated by the "yardl" tool. DO NOT EDIT.
 
+from typing import Tuple as _Tuple
+import re as _re
+import numpy as _np
+
+_MIN_NUMPY_VERSION = (1, 22, 0)
+
+def _parse_version(version: str) -> _Tuple[int, ...]:
+    try:
+        return tuple(map(int, version.split(".")))
+    except ValueError:
+        # ignore any prerelease suffix
+        version = _re.sub(r"[^0-9.]", "", version)
+        return tuple(map(int, version.split(".")))
+
+if _parse_version(_np.__version__) < _MIN_NUMPY_VERSION:
+    raise ImportError(f"Your installed numpy version is {_np.__version__}, but version >= {'.'.join(str(i) for i in _MIN_NUMPY_VERSION)} is required.")
+
 from .yardl_types import *
 from .types import (
     AcquisitionOrImage,

python/tests/roundtriputils.py

@@ -2,7 +2,7 @@
 import pathlib
 import subprocess
 import types
-from typing import Callable, TypeVar, cast
+from typing import Callable, TypeVar, Union, cast
 
 import test_model as tm
 from .factories import Format
@@ -17,8 +17,8 @@
 
 
 def invoke_translator(
-    input: bytes | str, input_format: Format, output_format: Format
-) -> bytes | str:
+    input: Union[bytes, str], input_format: Format, output_format: Format
+) -> Union[bytes, str]:
     if isinstance(input, str):
         print(input)
         input = input.encode("utf-8")

python/tests/test_init.py

@@ -0,0 +1,11 @@
+import test_model as tm
+from packaging import version
+# pyright: basic
+
+def test_parse_version():
+    assert tm._parse_version("1.2.3") == (1,2,3)
+    assert tm._parse_version("1.2.3") < (1,2,4)
+    assert tm._parse_version("2.2.3") > (1,9,9)
+    assert tm._parse_version("2.2.3") > (1,9)
+    assert tm._parse_version("1.26.1rc1") > (1,26,1)
+    version.parse

tooling/internal/cpp/cmake.go

@@ -28,16 +28,23 @@ func writeCMakeLists(env *dsl.Environment, options packaging.CppCodegenOptions)
 # target_link_libraries(<your target> %s)
 # add_subdirectory(<path to this directory>)
 
-find_package(date REQUIRED)
+set(HOWARD_HINNANT_DATE_MINIMUM_VERSION "3.0.0")
+find_package(date ${HOWARD_HINNANT_DATE_MINIMUM_VERSION} REQUIRED)
 
 if(VCPKG_TARGET_TRIPLET)
   set(HDF5_CXX_LIBRARIES hdf5::hdf5_cpp-shared)
 else()
   set(HDF5_CXX_LIBRARIES hdf5::hdf5_cpp)
 endif()
 
-find_package(HDF5 REQUIRED COMPONENTS C CXX)
-find_package(xtensor REQUIRED)
+set(HDF5_MINIMUM_VERSION "1.10.5")
+find_package(HDF5 ${HDF5_MINIMUM_VERSION} REQUIRED COMPONENTS C CXX)
+
+set(XTENSOR_MINIMUM_VERSION "0.21.10")
+find_package(xtensor ${XTENSOR_MINIMUM_VERSION} REQUIRED)
+
+set(NLOHMANN_JSON_MINIMUM_VERSION "3.11.1")
+find_package(nlohmann_json ${NLOHMANN_JSON_MINIMUM_VERSION} REQUIRED)
 `, objectLibraryName)
 
 	fmt.Fprintf(w, "add_library(%s OBJECT\n", objectLibraryName)
@@ -62,6 +69,7 @@ find_package(xtensor REQUIRED)
 		w.WriteStringln("PUBLIC ${HDF5_CXX_LIBRARIES}")
 		w.WriteStringln("PUBLIC xtensor")
 		w.WriteStringln("PUBLIC date::date")
+		w.WriteStringln("PUBLIC nlohmann_json::nlohmann_json")
 	})
 	w.WriteString(")\n")
 

tooling/internal/cpp/include/detail/ndjson/serializers.h

@@ -205,8 +205,9 @@ struct adl_serializer<yardl::DynamicNDArray<T>> {
   static void from_json(ordered_json const& j, yardl::DynamicNDArray<T>& value) {
     value.resize(j.at("shape").get<std::vector<size_t>>());
     auto data_array = j.at("data").get<std::vector<T>>();
-    for (size_t i = 0; i < data_array.size(); ++i) {
-      value.flat(i) = data_array[i];
+    size_t i = 0;
+    for (auto& element : value) {
+      element = data_array[i++];
     }
   }
 };
@@ -225,8 +226,9 @@ struct adl_serializer<yardl::NDArray<T, N>> {
   static void from_json(ordered_json const& j, yardl::NDArray<T, N>& value) {
     value.resize(j.at("shape").get<std::vector<size_t>>());
     auto data_array = j.at("data").get<std::vector<T>>();
-    for (size_t i = 0; i < data_array.size(); ++i) {
-      value.flat(i) = data_array[i];
+    size_t i = 0;
+    for (auto& element : value) {
+      element = data_array[i++];
     }
   }
 };
@@ -243,8 +245,9 @@ struct adl_serializer<yardl::FixedNDArray<T, Dims...>> {
 
   static void from_json(ordered_json const& j, yardl::FixedNDArray<T, Dims...>& value) {
     auto data_array = j.get<std::vector<T>>();
-    for (size_t i = 0; i < data_array.size(); ++i) {
-      value.flat(i) = data_array[i];
+    size_t i = 0;
+    for (auto& element : value) {
+      element = data_array[i++];
     }
   }
 };

tooling/internal/python/python.go

@@ -82,6 +82,24 @@ func writePackageInitFile(packageDir string, ns *dsl.Namespace) error {
 	w := formatting.NewIndentedWriter(&b, "    ")
 	common.WriteGeneratedFileHeader(w)
 
+	w.WriteStringln(`from typing import Tuple as _Tuple
+import re as _re
+import numpy as _np
+
+_MIN_NUMPY_VERSION = (1, 22, 0)
+
+def _parse_version(version: str) -> _Tuple[int, ...]:
+    try:
+        return tuple(map(int, version.split(".")))
+    except ValueError:
+        # ignore any prerelease suffix
+        version = _re.sub(r"[^0-9.]", "", version)
+        return tuple(map(int, version.split(".")))
+
+if _parse_version(_np.__version__) < _MIN_NUMPY_VERSION:
+    raise ImportError(f"Your installed numpy version is {_np.__version__}, but version >= {'.'.join(str(i) for i in _MIN_NUMPY_VERSION)} is required.")
+`)
+
 	fmt.Fprintf(w, "from .yardl_types import *\n")
 
 	typesMembers := make([]string, 0)