Update dependencies pinning and compiler version to match conda-forge build config recipe

This MR targets the update of the dependencies pinning and updates the compiler version to the latest found on conda-forge.

Updating Dask fixes the incompatibility between itself and click (hanging scheduler issue).

Fixes #101 (closed), #96 (closed)

bob/devtools/data/conda_build_config.yaml

@@ -5,53 +5,62 @@
 #    will target, not what subdir the compiler package will be itself.
 #    For example, we need a win-64 vs2008_win-32 package, so that we compile win-32
 #    code on win-64 miniconda.
-cross_compiler_target_platform:  # [win]
-  - win-64                     # [win]
 c_compiler:
   - gcc                        # [linux]
   - clang                      # [osx]
-  - vs2017                     # [win]
 c_compiler_version:            # [unix]
-  - 11                         # [osx]
-  - 9                          # [linux]
+  - 10                         # [linux]
+  - 13                         # [osx]
+  - 7                          # [os.environ.get("CF_CUDA_ENABLED", "False") == "True" and linux64]
+  - 9                          # [os.environ.get("CF_CUDA_ENABLED", "False") == "True" and linux64]
+  - 10                         # [os.environ.get("CF_CUDA_ENABLED", "False") == "True" and linux64]
+  - 10                         # [os.environ.get("CF_CUDA_ENABLED", "False") == "True" and linux64]
 cxx_compiler:
   - gxx                        # [linux]
   - clangxx                    # [osx]
-  - vs2017                     # [win]
 cxx_compiler_version:          # [unix]
-  - 11                         # [osx]
-  - 9                          # [linux]
+  - 10                         # [linux]
+  - 13                         # [osx]
+  - 7                          # [os.environ.get("CF_CUDA_ENABLED", "False") == "True" and linux64]
+  - 9                          # [os.environ.get("CF_CUDA_ENABLED", "False") == "True" and linux64]
+  - 10                         # [os.environ.get("CF_CUDA_ENABLED", "False") == "True" and linux64]
+  - 10                         # [os.environ.get("CF_CUDA_ENABLED", "False") == "True" and linux64]
 llvm_openmp:                   # [osx]
-  - 11                         # [osx]
+  - 13                         # [osx]
 fortran_compiler:              # [unix or win64]
   - gfortran                   # [linux64 or (osx and x86_64)]
   - gfortran                   # [aarch64 or ppc64le or armv7l or s390x]
-  - flang                      # [win64]
 fortran_compiler_version:      # [unix or win64]
+  - 10                         # [linux]
   - 11                         # [osx and arm64]
   - 9                          # [osx and x86_64]
-  - 9                          # [linux]
-  - 5                          # [win64]
-m2w64_c_compiler:              # [win]
-  - m2w64-toolchain            # [win]
-m2w64_cxx_compiler:            # [win]
-  - m2w64-toolchain            # [win]
-m2w64_fortran_compiler:        # [win]
-  - m2w64-toolchain            # [win]
-CMAKE_GENERATOR:               # [win]
-  - NMake Makefiles            # [win]
+  - 7                          # [os.environ.get("CF_CUDA_ENABLED", "False") == "True" and linux64]
+  - 9                          # [os.environ.get("CF_CUDA_ENABLED", "False") == "True" and linux64]
+  - 10                         # [os.environ.get("CF_CUDA_ENABLED", "False") == "True" and linux64]
+  - 10                         # [os.environ.get("CF_CUDA_ENABLED", "False") == "True" and linux64]
 
-cuda_compiler:                 # [linux64]
-  - nvcc                       # [linux64]
+cuda_compiler:                 # [linux or win]
+  - nvcc                       # [linux or win]
 cuda_compiler_version:
   - None
-  - 10.2                       # [linux64]
+  - 10.2                       # [(linux64 or win) and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
+  - 11.0                       # [(linux64 or win) and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
+  - 11.1                       # [(linux64 or win) and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
+  - 11.2                       # [(linux64 or win) and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
+cuda_compiler_version_min:
+  - None                       # [osx]
+  - 10.2                       # [linux64 or win]
+  - 11.2                       # [linux and (ppc64le or aarch64)]
 cudnn:
   - undefined
-  - 7                          # [linux64]
+  - 7                          # [(linux64 or win) and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
+  - 8                          # [(linux64 or win) and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
+  - 8                          # [(linux64 or win) and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
+  - 8                          # [(linux64 or win) and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
 
 _libgcc_mutex:
   - 0.1 conda_forge
+
 #
 # Go Compiler Options
 #
@@ -345,23 +354,23 @@ package_names_map:
 
 
 click:
-  - 8.0.4
+  - 8.1.3
 click_plugins:
   - 1.1.1
 cmake:
-  - 3.22.2
+  - 3.23.2
 coverage:
-  - 6.3.2
+  - 6.4.1
 dask:
-  - 2022.2.0
+  - 2022.6.1
 dask_jobqueue:
   - 0.7.3
 dask_ml:
-  - 2022.1.22
+  - 2022.5.27
 ddt:
   - 1.4.1
 distributed:
-  - 2022.2.0
+  - 2022.6.1
 docker_py:
   - 5.0.3
 docopt:
@@ -373,66 +382,66 @@ font_ttf_dejavu_sans_mono:
 freetype:
   - 2.10.4
 graphviz:
-  - 2.50.0
+  - 4.0.0
 h5py:
   - 3.6.0
 imageio:
-  - 2.16.1
+  - 2.19.3
 imageio_ffmpeg:
-  - 0.4.5
+  - 0.4.7
 jinja2:
   - 3.1.2
 make:
   - 4.3
 matplotlib:
-  - 3.5.1
+  - 3.5.2
 ncurses:
   - 6.3
 nose:
   - 1.3.7
 numba:
-  - 0.55.1
+  - 0.55.2
 numpy:
-  - 1.21.5
+  - 1.22.4
 opencv:
   - 4.5.5
 pandas:
-  - 1.4.1
+  - 1.4.3
 pillow:
-  - 9.0.1
+  - 9.1.1
 pip:
-  - 22.0.3
+  - 22.1.2
 pkg_config:
   - 0.29.2
 psutil:
-  - 5.9.0
+  - 5.9.1
 pybind11:
-  - 2.9.1
+  - 2.9.2
 pytest:
-  - 7.0.1
+  - 7.1.2
 pytest_cov:
   - 3.0.0
 python_graphviz:
-  - 0.19.1
+  - 0.20
 pytorch:
-  - 1.10.2 cuda*  # [linux]
-  - 1.10.2  # [osx]
+  - 1.11.0 cuda*  # [linux]
+  - 1.11.0  # [osx]
 pytorch_lightning:
-  - 1.6.0
+  - 1.6.4
 pyyaml:
   - 6.0
 pyzmq:
-  - 22.3.0
+  - 23.2.0
 requests:
-  - 2.27.1
+  - 2.28.0
 schema:
   - 0.7.5
 scikit_image:
-  - 0.19.2
+  - 0.19.3
 scikit_learn:
-  - 1.0.2
+  - 1.1.1
 scipy:
-  - 1.8.0
+  - 1.8.1
 setuptools:
   - 59.5.0
 simplejson:
@@ -440,25 +449,25 @@ simplejson:
 six:
   - 1.16.0
 sphinx:
-  - 4.4.0
+  - 5.0.2
 sphinx_rtd_theme:
   - 1.0.0
 sphinxcontrib_programoutput:
   - 0.16
 sqlalchemy:
-  - 1.4.31
+  - 1.4.39
 tabulate:
-  - 0.8.9
+  - 0.8.10
 tensorflow:
-  - 2.7.0 cuda*  # [linux]
-  - 2.7.0  # [osx]
+  - 2.8.1 cuda*  # [linux]
+  - 2.8.1  # [osx]
 termcolor:
   - 1.1.0
 torchvision:
-  - 0.11.3
+  - 0.12.0
 tqdm:
-  - 4.62.3
+  - 4.64.0
 xarray:
-  - 0.21.1
+  - 2022.3.0
 
 # AUTOMATIC PARSING END