[cnpy-1.0] upload lib

recipes/cnpy/all/CMakeLists.txt

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+cmake_minimum_required(VERSION 3.15.0)
+project(cmake_wrapper)
+
+include(conanbuildinfo.cmake)
+conan_basic_setup()
+
+add_subdirectory("source_subfolder")

recipes/cnpy/all/conandata.yml

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+sources:
+  "1.0":
+    url: "https://github.com/hongyx11/cnpy/archive/v1.0.tar.gz"
+    sha256: "a61b209c268db20a00240876df9fd8314a73d3c9b4139d00a0df048fe9c8e59f"

recipes/cnpy/all/conanfile.py

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+import os
+
+from conans import ConanFile, CMake, tools
+
+class CnpyConan(ConanFile):
+    name = "cnpy"
+    description = "cnpy conan package"
+    license = "MIT License"
+    topics = ("conan", "cnpy")
+    homepage = "https://github.com/hongyx11/cnpy"
+    url = "https://github.com/conan-io/conan-center-index"
+    exports_sources = ["CMakeLists.txt"]
+    generators = "cmake"
+    settings = "os", "arch", "compiler", "build_type"
+    _cmake = None
+
+    options = {
+        "shared": [True, False],
+        "fPIC": [True, False]
+    }
+    default_options = {
+        "shared": False,
+        "fPIC": True
+    }
+
+    @property
+    def _source_subfolder(self):
+        return "source_subfolder" 
+
+    @property
+    def _build_subfolder(self):
+        return "build_subfolder"
+
+    def config_options(self):
+        if self.settings.os == "Windows":
+            del self.options.fPIC
+
+    def configure(self):
+        del self.settings.compiler.libcxx
+        del self.settings.compiler.cppstd
+
+    def source(self):
+        tools.get(**self.conan_data["sources"][self.version])
+        os.rename(self.name + "-" + self.version, self._source_subfolder)
+
+    def build(self):
+        cmake = self._configure_cmake()
+        cmake.build()
+
+    def _configure_cmake(self):
+        if self._cmake:
+            return self._cmake  
+        self._cmake = CMake(self)
+        self._cmake.configure(build_folder=self._build_subfolder)
+        return self._cmake
+
+    def package(self):
+        self.copy("LICENSE", dst="licenses", src=self._source_subfolder)
+        cmake = self._configure_cmake()
+        cmake.install()
+
+    def package_info(self):
+        self.cpp_info.names["cmake_find_package"] = "cnpy"
+        self.cpp_info.names["cmake_find_package_multi"] = "cnpy"
+        self.cpp_info.libs = tools.collect_libs(self)

recipes/cnpy/all/test_package/CMakeLists.txt

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+cmake_minimum_required(VERSION 3.15.0)
+project(test_package CXX)
+
+include(${CMAKE_BINARY_DIR}/conanbuildinfo.cmake)
+conan_basic_setup()
+set(CMAKE_CXX_STANDARD 11)
+add_executable(${PROJECT_NAME} example1.cpp)
+target_link_libraries(${PROJECT_NAME} ${CONAN_LIBS})

recipes/cnpy/all/test_package/conanfile.py

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+import os
+
+from conans import ConanFile, CMake, tools
+
+class TestPackageConan(ConanFile):
+    settings = "os", "compiler", "build_type", "arch"
+    generators = "cmake"
+    requires = [
+        "zlib/1.2.11"
+    ]
+    def build(self):
+        cmake = CMake(self)
+        cmake.configure()
+        cmake.build()
+
+    def test(self):
+        if not tools.cross_building(self.settings):
+            bin_path = os.path.join("bin", "test_package")
+            self.run(bin_path, run_environment=True)

recipes/cnpy/all/test_package/example1.cpp

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+#include"cnpy.h"
+#include<complex>
+#include<cstdlib>
+#include<iostream>
+#include<map>
+#include<string>
+
+const int Nx = 128;
+const int Ny = 64;
+const int Nz = 32;
+
+int main()
+{
+    //set random seed so that result is reproducible (for testing)
+    srand(0);
+    //create random data
+    std::vector<std::complex<double>> data(Nx*Ny*Nz);
+    for(int i = 0;i < Nx*Ny*Nz;i++) data[i] = std::complex<double>(rand(),rand());
+
+    //save it to file
+    cnpy::npy_save("arr1.npy",&data[0],{Nz,Ny,Nx},"w");
+
+    //load it into a new array
+    cnpy::NpyArray arr = cnpy::npy_load("arr1.npy");
+    std::complex<double>* loaded_data = arr.data<std::complex<double>>();
+
+    //make sure the loaded data matches the saved data
+    assert(arr.word_size == sizeof(std::complex<double>));
+    assert(arr.shape.size() == 3 && arr.shape[0] == Nz && arr.shape[1] == Ny && arr.shape[2] == Nx);
+    for(int i = 0; i < Nx*Ny*Nz;i++) assert(data[i] == loaded_data[i]);
+
+    //append the same data to file
+    //npy array on file now has shape (Nz+Nz,Ny,Nx)
+    cnpy::npy_save("arr1.npy",&data[0],{Nz,Ny,Nx},"a");
+
+    //now write to an npz file
+    //non-array variables are treated as 1D arrays with 1 element
+    double myVar1 = 1.2;
+    char myVar2 = 'a';
+    cnpy::npz_save("out.npz","myVar1",&myVar1,{1},"w"); //"w" overwrites any existing file
+    cnpy::npz_save("out.npz","myVar2",&myVar2,{1},"a"); //"a" appends to the file we created above
+    cnpy::npz_save("out.npz","arr1",&data[0],{Nz,Ny,Nx},"a"); //"a" appends to the file we created above
+
+    //load a single var from the npz file
+    cnpy::NpyArray arr2 = cnpy::npz_load("out.npz","arr1");
+
+    //load the entire npz file
+    cnpy::npz_t my_npz = cnpy::npz_load("out.npz");
+
+    //check that the loaded myVar1 matches myVar1
+    cnpy::NpyArray arr_mv1 = my_npz["myVar1"];
+    double* mv1 = arr_mv1.data<double>();
+    assert(arr_mv1.shape.size() == 1 && arr_mv1.shape[0] == 1);
+    assert(mv1[0] == myVar1);
+}

recipes/cnpy/config.yml

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+versions:
+  "1.0":
+    folder: all