Add libcufile recipe

recipes/libcufile/Makefile.patch

@@ -0,0 +1,14 @@
+--- samples/Makefile        2022-06-24 00:23:23.000000000 +0000
++++ samples/Makefile.new    2022-06-27 15:04:32.235125647 +0000
+@@ -35,8 +35,8 @@
+
+ # Common includes and paths for CUDA
+ CUDA_PATH   := /usr/local/cuda
+-CUFILE_PATH ?= /usr/local/cuda/targets/x86_64-linux/lib/
+-CUFILE_INCLUDE_PATH ?= /usr/local/cuda/targets/x86_64-linux/include/
++CUFILE_PATH ?= /usr/local/cuda/lib/
++CUFILE_INCLUDE_PATH ?= /usr/local/cuda/include/
+ CXXFLAGS    := -Wall
+ CXXFLAGS    += -I $(CUDA_PATH)/include/ 
+ CXXFLAGS    += -I $(CUFILE_INCLUDE_PATH)
+

recipes/libcufile/build.bat

@@ -0,0 +1,17 @@
+if not exist %PREFIX% mkdir %PREFIX%
+
+rem Directories...
+for /D %%i in (.\*) do (
+    robocopy /E %%i %PREFIX%\%%i
+)
+
+rem Files...
+for %%i in (.\*) do (
+    if not %%~ni==build_env_setup (
+    if not %%~ni==conda_build (
+    if not %%~ni==metadata_conda_debug (
+        xcopy %%i %PREFIX%
+    )
+    )
+    )
+)

recipes/libcufile/meta.yaml

@@ -0,0 +1,94 @@
+{% set name = "libcufile" %}
+{% set version = "1.5.0.59" %}
+ {% set platform = "linux-x86_64" %}  # [linux64]
+ {% set platform = "linux-ppc64le" %}  # [ppc64le]
+ {% set platform = "linux-sbsa" %}  # [aarch64]
+ {% set platform = "windows-x86_64" %}  # [win]
+ {% set extension = "tar.xz" %}  # [not win]
+ {% set extension = "zip" %}  # [win]
+
+package:
+  name: {{ name|lower }}
+  version: {{ version }}
+
+source:
+  url: https://developer.download.nvidia.com/compute/cuda/redist/{{ name }}/{{ platform }}/{{ name }}-{{ platform }}-{{ version }}-archive.{{ extension }}
+  sha256: 222c49b29afb544c69542c4e658b0a1bd01fd2306f2136ad6990ccfff482a097  # [linux64]
+  patches:
+    - Makefile.patch
+
+build:
+  # uncomment the following line if the package is pure python and the recipe is exactly the same for all platforms.
+  # it is okay if the dependencies are not built for all platforms/versions, although selectors are still not allowed.
+  # see https://conda-forge.org/docs/maintainer/knowledge_base.html#noarch-python for more details.
+  # noarch: python
+  # if the installation is complex, or different between unix and windows, use separate bld.bat and build.sh files instead of this key.
+  # by default, the package will be built for the python versions supported by conda-forge and for all major oss.
+  # add the line "skip: true  # [py<35]" (for example) to limit to python 3.5 and newer, or "skip: true  # [not win]" to limit to windows.
+  # more info about selectors can be found in the conda-build docs: 
+  # https://docs.conda.io/projects/conda-build/en/latest/resources/define-metadata.html#preprocessing-selectors
+  #script: {{ python }} -m pip install . -vv
+  number: 0
+  skip: true  # [osx]
+  skip: true  # [ppc64le]
+  skip: true  # [aarch64]
+  skip: true  # [win]
+
+outputs:
+  - name: libcufile
+    files:
+      - lib/libcufile*.so.*
+      - etc/cufile.json
+    test:
+      commands:
+        - test -f $PREFIX/lib/libcufile*.so.*
+        - test -f $PREFIX/etc/cufile.json
+
+  - name: libcufile-dev
+    requirements:
+      run:
+        - libcufile >={{ version }}
+    files:
+      - lib/libcufile*.so
+      - include/cufile*
+      - man
+    test:
+      commands:
+        - test -f $PREFIX/lib/libcufile*.so
+        - test -f $PREFIX/include/cufile*
+        - test -f $PREFIX/man
+
+  - name: libcufile-static
+    requirements:
+      run:
+        - libcufile-dev >={{ version }}
+    files:
+      - lib/libcufile*_static.a
+    test:
+      commands:
+        - test -f $PREFIX/lib/libcufile*_static.a
+
+  - name: gds-tools
+    requirements:
+      run:
+        - libcufile >={{ version }}
+    files:
+      - gds/samples
+      - gds/tools
+    test:
+      commands:
+        - test -f $PREFIX/gds/samples
+        - test -f $PREFIX/gds/tools
+
+about:
+  home: https://developer.nvidia.com/cuda-toolkit
+  license: LicenseRef-NVIDIA-End-User-License-Agreement
+  license_file: LICENSE
+  license_url: https://docs.nvidia.com/cuda/eula/index.html
+  summary: |
+    Library for GPU Direct Storage with CUDA
+  doc_url: https://docs.nvidia.com/gpudirect-storage/api-reference-guide/index.html
+
+extra:
+  recipe-maintainers:
+    - adibbley