text:
Q: Failed to install neural_render_pytorch I try to install neural_render_pytorch by command "pip install neural_renderer_pytorch".
But have a big error and i do not understand it.
Error message:
    Running setup.py install for neural-renderer-pytorch ... error
ERROR: Command errored out with exit status 1:
 command: /home/danyilzozulia/PycharmProjects/test/venv/bin/python -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-install-bhf3anci/neural-renderer-pytorch_8cf9e80a49224bd798a82d088a984e58/setup.py'"'"'; __file__='"'"'/tmp/pip-install-bhf3anci/neural-renderer-pytorch_8cf9e80a49224bd798a82d088a984e58/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' install --record /tmp/pip-record-ilhc49xm/install-record.txt --single-version-externally-managed --compile --install-headers /home/danyilzozulia/PycharmProjects/test/venv/include/site/python3.8/neural-renderer-pytorch
     cwd: /tmp/pip-install-bhf3anci/neural-renderer-pytorch_8cf9e80a49224bd798a82d088a984e58/
Complete output (209 lines):
running install
running build
running build_py
creating build
creating build/lib.linux-x86_64-3.8
creating build/lib.linux-x86_64-3.8/neural_renderer
copying neural_renderer/load_obj.py -> build/lib.linux-x86_64-3.8/neural_renderer
copying neural_renderer/projection.py -> build/lib.linux-x86_64-3.8/neural_renderer
copying neural_renderer/look.py -> build/lib.linux-x86_64-3.8/neural_renderer
copying neural_renderer/mesh.py -> build/lib.linux-x86_64-3.8/neural_renderer
copying neural_renderer/vertices_to_faces.py -> build/lib.linux-x86_64-3.8/neural_renderer
copying neural_renderer/perspective.py -> build/lib.linux-x86_64-3.8/neural_renderer
copying neural_renderer/look_at.py -> build/lib.linux-x86_64-3.8/neural_renderer
copying neural_renderer/renderer.py -> build/lib.linux-x86_64-3.8/neural_renderer
copying neural_renderer/get_points_from_angles.py -> build/lib.linux-x86_64-3.8/neural_renderer
copying neural_renderer/rasterize.py -> build/lib.linux-x86_64-3.8/neural_renderer
copying neural_renderer/__init__.py -> build/lib.linux-x86_64-3.8/neural_renderer
copying neural_renderer/lighting.py -> build/lib.linux-x86_64-3.8/neural_renderer
copying neural_renderer/save_obj.py -> build/lib.linux-x86_64-3.8/neural_renderer
creating build/lib.linux-x86_64-3.8/neural_renderer/cuda
copying neural_renderer/cuda/__init__.py -> build/lib.linux-x86_64-3.8/neural_renderer/cuda
running build_ext
building 'neural_renderer.cuda.load_textures' extension
creating /tmp/pip-install-bhf3anci/neural-renderer-pytorch_8cf9e80a49224bd798a82d088a984e58/build/temp.linux-x86_64-3.8
creating /tmp/pip-install-bhf3anci/neural-renderer-pytorch_8cf9e80a49224bd798a82d088a984e58/build/temp.linux-x86_64-3.8/neural_renderer
creating /tmp/pip-install-bhf3anci/neural-renderer-pytorch_8cf9e80a49224bd798a82d088a984e58/build/temp.linux-x86_64-3.8/neural_renderer/cuda
Emitting ninja build file /tmp/pip-install-bhf3anci/neural-renderer-pytorch_8cf9e80a49224bd798a82d088a984e58/build/temp.linux-x86_64-3.8/build.ninja...
Compiling objects...
Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)
[1/2] /usr/bin/nvcc --generate-dependencies-with-compile --dependency-output /tmp/pip-install-bhf3anci/neural-renderer-pytorch_8cf9e80a49224bd798a82d088a984e58/build/temp.linux-x86_64-3.8/neural_renderer/cuda/load_textures_cuda_kernel.o.d -I/home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include -I/home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/TH -I/home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/THC -I/home/danyilzozulia/PycharmProjects/test/venv/include -I/usr/include/python3.8 -c -c /tmp/pip-install-bhf3anci/neural-renderer-pytorch_8cf9e80a49224bd798a82d088a984e58/neural_renderer/cuda/load_textures_cuda_kernel.cu -o /tmp/pip-install-bhf3anci/neural-renderer-pytorch_8cf9e80a49224bd798a82d088a984e58/build/temp.linux-x86_64-3.8/neural_renderer/cuda/load_textures_cuda_kernel.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''"'"'-fPIC'"'"'' -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=load_textures -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_61,code=compute_61 -gencode=arch=compute_61,code=sm_61 -std=c++14
FAILED: /tmp/pip-install-bhf3anci/neural-renderer-pytorch_8cf9e80a49224bd798a82d088a984e58/build/temp.linux-x86_64-3.8/neural_renderer/cuda/load_textures_cuda_kernel.o
/usr/bin/nvcc --generate-dependencies-with-compile --dependency-output /tmp/pip-install-bhf3anci/neural-renderer-pytorch_8cf9e80a49224bd798a82d088a984e58/build/temp.linux-x86_64-3.8/neural_renderer/cuda/load_textures_cuda_kernel.o.d -I/home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include -I/home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/TH -I/home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/THC -I/home/danyilzozulia/PycharmProjects/test/venv/include -I/usr/include/python3.8 -c -c /tmp/pip-install-bhf3anci/neural-renderer-pytorch_8cf9e80a49224bd798a82d088a984e58/neural_renderer/cuda/load_textures_cuda_kernel.cu -o /tmp/pip-install-bhf3anci/neural-renderer-pytorch_8cf9e80a49224bd798a82d088a984e58/build/temp.linux-x86_64-3.8/neural_renderer/cuda/load_textures_cuda_kernel.o -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr --compiler-options ''"'"'-fPIC'"'"'' -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=load_textures -D_GLIBCXX_USE_CXX11_ABI=0 -gencode=arch=compute_61,code=compute_61 -gencode=arch=compute_61,code=sm_61 -std=c++14
nvcc fatal   : Unknown option '-generate-dependencies-with-compile'
[2/2] c++ -MMD -MF /tmp/pip-install-bhf3anci/neural-renderer-pytorch_8cf9e80a49224bd798a82d088a984e58/build/temp.linux-x86_64-3.8/neural_renderer/cuda/load_textures_cuda.o.d -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include -I/home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/TH -I/home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/THC -I/home/danyilzozulia/PycharmProjects/test/venv/include -I/usr/include/python3.8 -c -c /tmp/pip-install-bhf3anci/neural-renderer-pytorch_8cf9e80a49224bd798a82d088a984e58/neural_renderer/cuda/load_textures_cuda.cpp -o /tmp/pip-install-bhf3anci/neural-renderer-pytorch_8cf9e80a49224bd798a82d088a984e58/build/temp.linux-x86_64-3.8/neural_renderer/cuda/load_textures_cuda.o -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=load_textures -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++14
FAILED: /tmp/pip-install-bhf3anci/neural-renderer-pytorch_8cf9e80a49224bd798a82d088a984e58/build/temp.linux-x86_64-3.8/neural_renderer/cuda/load_textures_cuda.o
c++ -MMD -MF /tmp/pip-install-bhf3anci/neural-renderer-pytorch_8cf9e80a49224bd798a82d088a984e58/build/temp.linux-x86_64-3.8/neural_renderer/cuda/load_textures_cuda.o.d -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include -I/home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/TH -I/home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/THC -I/home/danyilzozulia/PycharmProjects/test/venv/include -I/usr/include/python3.8 -c -c /tmp/pip-install-bhf3anci/neural-renderer-pytorch_8cf9e80a49224bd798a82d088a984e58/neural_renderer/cuda/load_textures_cuda.cpp -o /tmp/pip-install-bhf3anci/neural-renderer-pytorch_8cf9e80a49224bd798a82d088a984e58/build/temp.linux-x86_64-3.8/neural_renderer/cuda/load_textures_cuda.o -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=load_textures -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++14
In file included from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/ATen/Parallel.h:140,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/utils.h:3,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/nn/cloneable.h:5,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/nn.h:3,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/all.h:13,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/torch.h:3,
                 from /tmp/pip-install-bhf3anci/neural-renderer-pytorch_8cf9e80a49224bd798a82d088a984e58/neural_renderer/cuda/load_textures_cuda.cpp:1:
/home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/ATen/ParallelOpenMP.h:83: warning: ignoring #pragma omp parallel [-Wunknown-pragmas]
   83 | #pragma omp parallel for if ((end - begin) >= grain_size)
      |
/tmp/pip-install-bhf3anci/neural-renderer-pytorch_8cf9e80a49224bd798a82d088a984e58/neural_renderer/cuda/load_textures_cuda.cpp: In function 'at::Tensor load_textures(at::Tensor, at::Tensor, at::Tensor, at::Tensor, int, int)':
/tmp/pip-install-bhf3anci/neural-renderer-pytorch_8cf9e80a49224bd798a82d088a984e58/neural_renderer/cuda/load_textures_cuda.cpp:15:39: warning: 'at::DeprecatedTypeProperties& at::Tensor::type() const' is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]
   15 | #define CHECK_CUDA(x) AT_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
      |                                       ^
/tmp/pip-install-bhf3anci/neural-renderer-pytorch_8cf9e80a49224bd798a82d088a984e58/neural_renderer/cuda/load_textures_cuda.cpp:17:24: note: in expansion of macro 'CHECK_CUDA'
   17 | #define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
      |                        ^~~~~~~~~~
/tmp/pip-install-bhf3anci/neural-renderer-pytorch_8cf9e80a49224bd798a82d088a984e58/neural_renderer/cuda/load_textures_cuda.cpp:28:5: note: in expansion of macro 'CHECK_INPUT'
   28 |     CHECK_INPUT(image);
      |     ^~~~~~~~~~~
In file included from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/ATen/Tensor.h:3,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/ATen/Context.h:4,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/ATen/ATen.h:9,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/torch.h:3,
                 from /tmp/pip-install-bhf3anci/neural-renderer-pytorch_8cf9e80a49224bd798a82d088a984e58/neural_renderer/cuda/load_textures_cuda.cpp:1:
/home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/ATen/core/TensorBody.h:303:30: note: declared here
  303 |   DeprecatedTypeProperties & type() const {
      |                              ^~~~
/tmp/pip-install-bhf3anci/neural-renderer-pytorch_8cf9e80a49224bd798a82d088a984e58/neural_renderer/cuda/load_textures_cuda.cpp:15:23: error: 'AT_CHECK' was not declared in this scope; did you mean 'DCHECK'?
   15 | #define CHECK_CUDA(x) AT_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
      |                       ^~~~~~~~
/tmp/pip-install-bhf3anci/neural-renderer-pytorch_8cf9e80a49224bd798a82d088a984e58/neural_renderer/cuda/load_textures_cuda.cpp:15:23: note: in definition of macro 'CHECK_CUDA'
   15 | #define CHECK_CUDA(x) AT_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
      |                       ^~~~~~~~
/tmp/pip-install-bhf3anci/neural-renderer-pytorch_8cf9e80a49224bd798a82d088a984e58/neural_renderer/cuda/load_textures_cuda.cpp:28:5: note: in expansion of macro 'CHECK_INPUT'
   28 |     CHECK_INPUT(image);
      |     ^~~~~~~~~~~
/tmp/pip-install-bhf3anci/neural-renderer-pytorch_8cf9e80a49224bd798a82d088a984e58/neural_renderer/cuda/load_textures_cuda.cpp:15:39: warning: 'at::DeprecatedTypeProperties& at::Tensor::type() const' is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]
   15 | #define CHECK_CUDA(x) AT_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
      |                                       ^
/tmp/pip-install-bhf3anci/neural-renderer-pytorch_8cf9e80a49224bd798a82d088a984e58/neural_renderer/cuda/load_textures_cuda.cpp:17:24: note: in expansion of macro 'CHECK_CUDA'
   17 | #define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
      |                        ^~~~~~~~~~
/tmp/pip-install-bhf3anci/neural-renderer-pytorch_8cf9e80a49224bd798a82d088a984e58/neural_renderer/cuda/load_textures_cuda.cpp:29:5: note: in expansion of macro 'CHECK_INPUT'
   29 |     CHECK_INPUT(faces);
      |     ^~~~~~~~~~~
In file included from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/ATen/Tensor.h:3,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/ATen/Context.h:4,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/ATen/ATen.h:9,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/torch.h:3,
                 from /tmp/pip-install-bhf3anci/neural-renderer-pytorch_8cf9e80a49224bd798a82d088a984e58/neural_renderer/cuda/load_textures_cuda.cpp:1:
/home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/ATen/core/TensorBody.h:303:30: note: declared here
  303 |   DeprecatedTypeProperties & type() const {
      |                              ^~~~
/tmp/pip-install-bhf3anci/neural-renderer-pytorch_8cf9e80a49224bd798a82d088a984e58/neural_renderer/cuda/load_textures_cuda.cpp:15:39: warning: 'at::DeprecatedTypeProperties& at::Tensor::type() const' is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]
   15 | #define CHECK_CUDA(x) AT_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
      |                                       ^
/tmp/pip-install-bhf3anci/neural-renderer-pytorch_8cf9e80a49224bd798a82d088a984e58/neural_renderer/cuda/load_textures_cuda.cpp:17:24: note: in expansion of macro 'CHECK_CUDA'
   17 | #define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
      |                        ^~~~~~~~~~
/tmp/pip-install-bhf3anci/neural-renderer-pytorch_8cf9e80a49224bd798a82d088a984e58/neural_renderer/cuda/load_textures_cuda.cpp:30:5: note: in expansion of macro 'CHECK_INPUT'
   30 |     CHECK_INPUT(is_update);
      |     ^~~~~~~~~~~
In file included from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/ATen/Tensor.h:3,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/ATen/Context.h:4,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/ATen/ATen.h:9,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/torch.h:3,
                 from /tmp/pip-install-bhf3anci/neural-renderer-pytorch_8cf9e80a49224bd798a82d088a984e58/neural_renderer/cuda/load_textures_cuda.cpp:1:
/home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/ATen/core/TensorBody.h:303:30: note: declared here
  303 |   DeprecatedTypeProperties & type() const {
      |                              ^~~~
/tmp/pip-install-bhf3anci/neural-renderer-pytorch_8cf9e80a49224bd798a82d088a984e58/neural_renderer/cuda/load_textures_cuda.cpp:15:39: warning: 'at::DeprecatedTypeProperties& at::Tensor::type() const' is deprecated: Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device(). [-Wdeprecated-declarations]
   15 | #define CHECK_CUDA(x) AT_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
      |                                       ^
/tmp/pip-install-bhf3anci/neural-renderer-pytorch_8cf9e80a49224bd798a82d088a984e58/neural_renderer/cuda/load_textures_cuda.cpp:17:24: note: in expansion of macro 'CHECK_CUDA'
   17 | #define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
      |                        ^~~~~~~~~~
/tmp/pip-install-bhf3anci/neural-renderer-pytorch_8cf9e80a49224bd798a82d088a984e58/neural_renderer/cuda/load_textures_cuda.cpp:31:5: note: in expansion of macro 'CHECK_INPUT'
   31 |     CHECK_INPUT(textures);
      |     ^~~~~~~~~~~
In file included from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/ATen/Tensor.h:3,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/ATen/Context.h:4,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/ATen/ATen.h:9,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/types.h:3,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader_options.h:4,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/base.h:3,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h:3,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/data/dataloader.h:3,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/data.h:3,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/all.h:8,
                 from /home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/torch/csrc/api/include/torch/torch.h:3,
                 from /tmp/pip-install-bhf3anci/neural-renderer-pytorch_8cf9e80a49224bd798a82d088a984e58/neural_renderer/cuda/load_textures_cuda.cpp:1:
/home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/include/ATen/core/TensorBody.h:303:30: note: declared here
  303 |   DeprecatedTypeProperties & type() const {
      |                              ^~~~
ninja: build stopped: subcommand failed.
Traceback (most recent call last):
  File "/home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/utils/cpp_extension.py", line 1667, in _run_ninja_build
    subprocess.run(
  File "/usr/lib/python3.8/subprocess.py", line 512, in run
    raise CalledProcessError(retcode, process.args,
subprocess.CalledProcessError: Command '['ninja', '-v']' returned non-zero exit status 1.

The above exception was the direct cause of the following exception:
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "/tmp/pip-install-bhf3anci/neural-renderer-pytorch_8cf9e80a49224bd798a82d088a984e58/setup.py", line 29, in <module>
    setup(
  File "/home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/setuptools/__init__.py", line 153, in setup
    return distutils.core.setup(**attrs)
  File "/usr/lib/python3.8/distutils/core.py", line 148, in setup
    dist.run_commands()
  File "/usr/lib/python3.8/distutils/dist.py", line 966, in run_commands
    self.run_command(cmd)
  File "/usr/lib/python3.8/distutils/dist.py", line 985, in run_command
    cmd_obj.run()
  File "/home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/setuptools/command/install.py", line 61, in run
    return orig.install.run(self)
  File "/usr/lib/python3.8/distutils/command/install.py", line 589, in run
    self.run_command('build')
  File "/usr/lib/python3.8/distutils/cmd.py", line 313, in run_command
    self.distribution.run_command(command)
  File "/usr/lib/python3.8/distutils/dist.py", line 985, in run_command
    cmd_obj.run()
  File "/usr/lib/python3.8/distutils/command/build.py", line 135, in run
    self.run_command(cmd_name)
  File "/usr/lib/python3.8/distutils/cmd.py", line 313, in run_command
    self.distribution.run_command(command)
  File "/usr/lib/python3.8/distutils/dist.py", line 985, in run_command
    cmd_obj.run()
  File "/home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/setuptools/command/build_ext.py", line 79, in run
    _build_ext.run(self)
  File "/usr/lib/python3.8/distutils/command/build_ext.py", line 340, in run
    self.build_extensions()
  File "/home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/utils/cpp_extension.py", line 708, in build_extensions
    build_ext.build_extensions(self)
  File "/usr/lib/python3.8/distutils/command/build_ext.py", line 449, in build_extensions
    self._build_extensions_serial()
  File "/usr/lib/python3.8/distutils/command/build_ext.py", line 474, in _build_extensions_serial
    self.build_extension(ext)
  File "/home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/setuptools/command/build_ext.py", line 196, in build_extension
    _build_ext.build_extension(self, ext)
  File "/usr/lib/python3.8/distutils/command/build_ext.py", line 528, in build_extension
    objects = self.compiler.compile(sources,
  File "/home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/utils/cpp_extension.py", line 529, in unix_wrap_ninja_compile
    _write_ninja_file_and_compile_objects(
  File "/home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/utils/cpp_extension.py", line 1354, in _write_ninja_file_and_compile_objects
    _run_ninja_build(
  File "/home/danyilzozulia/PycharmProjects/test/venv/lib/python3.8/site-packages/torch/utils/cpp_extension.py", line 1683, in _run_ninja_build
    raise RuntimeError(message) from e
RuntimeError: Error compiling objects for extension

I am new in CUDA and pytorch so can you help, please, resolve this problem.
I`m using CUDA V10.1, pytorch V1.8.0, putorch3d 0.3.0.

redpajama_set_name: RedPajamaStackExchange


Enjoy your show tonight, Carolyn! I am curious to read a post about your weaving – I'd love to have a go myself but I need another craft project like I need a hole in the head! How are you enjoying 'The good people'? I thought it was just as good as 'Burial rites'.
I think I'm a craft gypsy! I flick from one thing to another! But I am enjoying the weaving. A few more under my belt and maybe a blog post! I'm only a chapter in with The Good People but it reminds me very much of Burial Rites. Very atmospheric!
Yes to Grantchester & lovely your weavings on IG so buy more yarn !
Ah well, if you say I have to buy more wool, then I have no choice! Pleased you like the weavings. I'm enjoying doing them!
I want a chocolate hedgehog! Grantchester is very good, hope you like it.


We were lucky enough to host former Boyzone frontman and global music superstar Ronan Keating and his wife Storm Keating in August. Keating was joined by our ambassador Dan Nicholl, for a fun-filled, boxing inspired project visit. Keating got to sing, chat and inspire the young kids from Fight With Insight, and later invited them to his concert at Monte Casino held on 21 August.


An interesting modeling concept is at work in these Waterline Series ships. Each kit depicts warships of various nations as they appeared during WWII. What is of special significance, is that as their name Waterline implies, the models are of the portion above the waterline. Therefore they can be placed on a flat surface and appear as they would on the ocean, with the draught portion omitted. What"s more, 1/700 scale permits collecting great numbers of them and using relatively little space. With over 100 ships in this series, it is perhaps the largest collection of its kind in the world.


Fireflies float in a garden in the night as an elder steps away from Nature's cradle to face an approaching menace. Facing a charred creature with the mark of a blue skull on it's arm the old man holds out a wooden staff. Forming a stance the senior botanist observes the intruder's actions before making a move. A chill blows away the fireflies from the garden as the beast pounces at the old man who counters with a swirling hurricane slash.
Withered leaves float down at the edge of a precipice onto an immobile Alas who nods away. The broken Gaia sword clutched on his hand like an extension of himself. The lunar sphere in the heavens casts a light upon the dark chasm where the fatigued boy remains sleeping.
Alas watches as dark clouds fuse together to create a winged shadow dragon. Miseria commands the pseudo-drake to eliminate the young man who stands before her. The winged beast in the sky turns around to face Alas and exhales flames that chars everything in its path including Miseria. Without time to dodge the warrior narrowly evades a direct hit but is burned from the heat of the streaming flames.
The young man braces himself for a second round of the shadow beast's assault. Recoiling from his burns Alas runs into a straggler from the horde he battled earlier but quickly sidesteps as the winged beast lets out another attack. Leaping behind a boulder he avoids a fireball strike that hits the minion of the blue mist, however, the giant rock crumbles from the force of the attack. Facing the dragon the battered Alas draws the Gaia sword in a defensive stance as he faces the charred troll and the shadow dragon.
The pseudo-drake flies past the burnt troll and nosedives straight for the young man who blocks with his sword which begins to crack. Running through the forest the warrior see's the wildlife that have been devastated by the vanity of the puppeteer and his madam. After luring the beast to the precipice Alas prepares to block the next attack. The drake descends once again toward the swordsman cracking the sword further and knocking him off the cliff. As he falls the young man thrust the sword at the rocky edge to slow his descent but the blade snaps in two.


Decades of turmoil have left many Catholics in a state of suspension. They aren't sure what the Church teaches and what they are to believe. They will not find a better resource than Milton Walsh's latest book, written precisely with these 'suspended' Catholics in mind.
Milton Walsh holds a doctorate in Sacred Theology from the Gregorian University in Rome. For many years he taught theology at St. Patrick's Seminary in Menlo Park, California. He is the author of In Memory of Me: A Meditation on the Roman Canon (buy online) and Second Friends: C.S. Lewis and Ronald Knox in Conversation (buy online).
Into All Truth presents the basic beliefs of the Catholic Church, beginning with the Resurrection. That extraordinary event prompted Jesus' followers to reflect on his identity and mission, which in turn led them to see the one God as an eternal communion of Father, Son, and Holy Spirit. The Good News of the Catholic Church is that God invites every man and woman into this communion.
With extensive use of the Bible, the Catechism of the Catholic Church, and the documents of the Second Vatican Council, Into All Truth explains clearly and succinctly the dogmas of the Catholic Church that flow from her faith in the Trinity. Each dogma is traced back to the faith of the first followers of Jesus, and its development over time is explored.
Each chapter also outlines the implications of a given belief. The Resurrection, for example, has as much to say about human destiny as about the ultimate fate of Jesus.


text:
Q: Querying multiple databases using MSforeachDB I'm querying about 60+ databases using MSforeachdb. The query works when I run it on a single database but I get a syntax error when I use MSforeachdb. Here is the code i used to query one database:
SELECT
DISTINCT(PAMARTID)
,PAMSTAID
, Gender
, DaysToNextApp
, DATEDIFF(day, DateofVisit, DateOfNextApp) AS date_difference
,DateOfNextApp
, DateofVisit
, MONTH(DateofVisit) AS Month
, DATENAME(month, DateofVisit) AS Month_Name
, YEAR(DateofVisit)AS Year
, REGID
, Description
, ROUND (DaysToNextApp/28, 0) AS MMD
, DATEDIFF(month, DateofVisit, DateOfNextApp) AS MMD_based_on_difference
FROM dbo.PAM p JOIN dbo.LuRegimen r ON p.PAMREMID = r.REGID
WHERE PAMSTAID = 2 AND (DateofVisit BETWEEN '2021-10-1 00:00:00:000' AND '2022-09-30 00:00:00:000')

I then adapted it for use on multiple database:
DECLARE @sql AS VARCHAR (4000)
SET     @sql = 'IF ''?'' NOT IN(''master'', ''model'', ''msdb'', ''tempdb'')
EXECUTE ('' USE \[?\]
SELECT
DISTINCT(PAMARTID)
,PAMSTAID
, Gender
, DaysToNextApp
, DATEDIFF(day, DateofVisit, DateOfNextApp) AS date_difference
,DateOfNextApp
, DateofVisit
, MONTH(DateofVisit) AS Month
, DATENAME(month, DateofVisit) AS Month_Name
, YEAR(DateofVisit)AS Year
, REGID
, Description
, ROUND (DaysToNextApp/28, 0) AS MMD
, DATEDIFF(month, DateofVisit, DateOfNextApp) AS MMD_based_on_difference
FROM dbo.PAM p JOIN dbo.LuRegimen r ON p.PAMREMID = r.REGID
WHERE PAMSTAID = 2 AND (DateofVisit BETWEEN ''2021-10-1 00:00:00:000'' AND ''2022-09-30 00:00:00:000'')'')'

EXEC sp_MSforeachdb @command1 = @sql

however the above gives a the following error:
Msg 102, Level 15, State 1, Line 19
Incorrect syntax near '2021'.

I removed the the following piece of code
AND (DateofVisit BETWEEN ''2021-10-1 00:00:00:000'' AND ''2022-09-30 00:00:00:000'')

from the sp-MSforeachdb query and it worked but if I add it again I get the aforementioned error
Any help or alternative methods would be appreciated.


text:
Q: Dismissing presented view controller returns to root view of navigation controller I have a UINavigationController that has a stack of view controllers. Something like below:
    [RestListViewController, RestViewController, ProdListViewController]

ProdListViewController presents another view controller ProdViewController.
When I call
    self.dismiss(animated: true, completion: nil)

I am returned the the RestListViewController
I understand this is because the UINavigationController is released when the view controller is presented, therefore is reloaded.
Is there any way I can stop this happening and have the dismiss function return to the original vc stack?
Edit:
ProdViewController is presented as so
let productViewController = ProdViewController()
self.present(productViewController, animated: true, completion: nil)

and dismissed
self.dismiss(animated: true, completion: nil)


It would be even crazier to see Mr Perfectionist Aamir Khan and the crazy ball of energy Ranveer Singh on screen together. As per reports, Ranveer and Aamir will be sharing screen space for a mobile commercial, for the first time ever.
Ranveer is currently shooting for Zoya Akhtar's 'Gully Boy' which also stars Alia Bhatt and Aamir has been shooting for 'Thugs Of Hindostan', also starring Amitabh Bachchan, Fatima Sana Shaikh and Katrina Kaif in pivotal roles.
Post finishing their current projects, Aamir and Ranveer will shoot for the ad which has been delayed because of the actors' hectic schedules. It has been heard that the makers of the ad have suggested Aamir get a clean shave so that the commercial can have an ageless appeal.
Previously, Ranveer Singh has shown his fondness for Aamir by saying, "Perhaps the only star actor in the truest sense who can blend commerce and credibility in films, present it in an entertaining manner and spur a social change. Not bash you in the head with the message but let you make what you want of it".
Meanwhile, Aamir Khan also went gaga over Ranveer who recently became the youngest star in Bollywood to enter into the Rs 200 crore club. Aamir said, "I saw five to six scenes on YouTube. What really struck me was the way you got the accent".


text:
<?xml version="1.0" encoding="ISO-8859-1"?>
<?xml-stylesheet href="latest_ob.xsl" type="text/xsl"?>
<current_observation version="1.0"
	 xmlns:xsd="http://www.w3.org/2001/XMLSchema"
	 xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
	 xsi:noNamespaceSchemaLocation="http://www.weather.gov/view/current_observation.xsd">
	<credit>NOAA's National Weather Service</credit>
	<credit_URL>http://weather.gov/</credit_URL>
	<image>
		<url>http://weather.gov/images/xml_logo.gif</url>
		<title>NOAA's National Weather Service</title>
		<link>http://weather.gov</link>
	</image>
	<suggested_pickup>15 minutes after the hour</suggested_pickup>
	<suggested_pickup_period>60</suggested_pickup_period>
	<location>INDEPENDENCE, KS</location>
	<station_id>KIDP</station_id>
	<latitude>37.1584</latitude>
	<longitude>-95.7784</longitude>
	<observation_time>Last Updated on Jan 4 2016, 8:55 pm CST</observation_time>
        <observation_time_rfc822>Mon, 04 Jan 2016 20:55:00 -0600</observation_time_rfc822>
	<weather>Fair</weather>
	<temperature_string>23.0 F (-5.0 C)</temperature_string>
	<temp_f>23.0</temp_f>
	<temp_c>-5.0</temp_c>
	<relative_humidity>93</relative_humidity>
	<wind_string>Northeast at 4.6 MPH (4 KT)</wind_string>
	<wind_dir>Northeast</wind_dir>
	<wind_degrees>30</wind_degrees>
	<wind_mph>4.6</wind_mph>
	<wind_kt>4</wind_kt>
	<pressure_in>30.40</pressure_in>
	<dewpoint_string>21.2 F (-6.0 C)</dewpoint_string>
	<dewpoint_f>21.2</dewpoint_f>
	<dewpoint_c>-6.0</dewpoint_c>
	<windchill_string>17 F (-8 C)</windchill_string>
      	<windchill_f>17</windchill_f>
      	<windchill_c>-8</windchill_c>
	<visibility_mi>10.00</visibility_mi>
 	<icon_url_base>http://forecast.weather.gov/images/wtf/small/</icon_url_base>
	<two_day_history_url>http://www.weather.gov/data/obhistory/KIDP.html</two_day_history_url>
	<icon_url_name>nskc.png</icon_url_name>
	<ob_url>http://www.weather.gov/data/METAR/KIDP.1.txt</ob_url>
	<disclaimer_url>http://weather.gov/disclaimer.html</disclaimer_url>
	<copyright_url>http://weather.gov/disclaimer.html</copyright_url>
	<privacy_policy_url>http://weather.gov/notice.html</privacy_policy_url>
</current_observation>

redpajama_set_name: RedPajamaGithub


A motorised test frame driven by twin ballscrews featuring dual-columns and designed to apply tension and compression from 2 N right up to a capacity of 50 kN (1100 lbf).
The twin-column OmniTest features dual-columns containing twin-ballscrews, which are designed to apply tensile, shear and compressive forces from 2 N right up to 50 kN. This ensures the excellent rigidity, strength and positional control so often demanded by materials testing applications.
Intuitive front-panel controls make them easy to use whilst the quick-fit crosshead design ensures operators can quickly and easily attach new loadcells, that are automatically recognised by the software.
The base plate of the OmniTest is pre-drilled with threaded holes to directly accept a wide range of contact extensometers, tensile grips and compression fixtures. It also accepts the quick-change (QC) adaptors which speed up the interchange of grips whenever you need to perform a variety of different tests.
The OmniTest requires a Windows PC to run the VectorPro MT software and control the materials tester.
They have been designed for versatility and ease-of-use thus appealing to users of varying skills and experience. They all fit comfortably on your bench-top, making them ideal for use in QC and R&D laboratories.
All OmniTest models are controlled by VectorPro-MT software running on a PC. They deliver both consistency and reliability by controlling the key test parameters of stress/strain, force/displacement and speed/load rate.
Whether you need to know the Young's Modulus, Offset Yield, Ultimate Tensile Strength or a whole host of other materials characteristics, the OmniTest has it covered for you.
The twin-column OmniTest materials testers feature dual-columns containing twin-ballscrews, which drive a solid crosshead to which an ELS loadcell is attached. This ensures excellent rigidity and strength whilst their intuitive controls make them easy to use, even for novice operators.
The construction of these twin-column materials testers provides the crosshead travel required for conducting high-elongation tensile tests whilst also delivering the strength capability for high-load break tests on rigid materials.
All models are ideal for general purpose testing of specimens to determine their tension, compression, flexure, shear and fracture characteristics.
Protective bellows guarantee that dust and splintered materials cannot become trapped inside the machine. Upper and lower safety limit switches minimise the risk of accidental damage caused by grips colliding.
For operator safety, a range of protective shields/enclosures is available in situations where specimens may shatter or create projectiles upon failure.
Designed to apply tensile and compressive forces from 2N right up to a capacity of 50 kN their high-quality construction, manufactured under ISO 9001 quality standards, ensures the ultimate in repeatable materials testing.
When seeking to precisely measure forces across a wide range it is often necessary to use multiple loadcells. The crosshead design of the OmniTest ensures the operator minimises set-up time by quickly and easily sliding on a new loadcell, which is automatically recognised by the software.
For higher load applications the loadcells are fitted with a simple bolt connection.
It also accepts the quick-change (QC) adaptors which speed up the interchange of grips when you need to perform a variety of different tests on different geometries of material.
Make use of your own PC to run its software and take advantage of its versatility to make it your ideal choice for materials testing up to 50kN.
The ELS range of high-resolution, precision loadcells is specially adapted to the OmniTest.
They are fully interchangeable and plug into the frame, where their calibration characteristics are immediately recognised by the tester without any input from the operator.
Eighteen different sensors, all measuring from zero, are available to cover the range from 2 N up to 50 kN.
This ensures that you have the optimum selection to meet all your tension and compression testing needs. Measurement accuracy is an outstanding ±0.5% of displayed reading.
This is taken directly from encoders situated on the ballscrews of the OmniTest.
VectorPro MT software compensates for movement encountered within the loadcell and grip string (known also as 'Correction for Machine Compliance') but it cannot be as accurate as measuring extension directly upon the specimen.
The range of contact extensometers include short-travel extensometers suitable for rigid materials (eg hard plastics and metals) through to long-travel extensometers designed for highly elastic materials (eg rubbers or soft plastics).
Simply select the model which best suits your material characteristics.
±0.5% of reading. Class 0.5 according to ISO 7500-1, eg ELS 100 when measuring 10 N is accurate to ±0.05 N or when measuring 50 N it is accurate to ±0.25 N.
Yes - export as PDF, XLSX, CSV, TXT. Image files and direct to email supported.


I am so excited about the feature here in the Atlanta Journal-Constitution about our home and here (with photos)! I'm still pinching myself!
Here are the links to the projects and rooms you'll find in the article – all in one place, easy to find. I put the links in the same order as the photos in the online article. Just click on the name of the project/room and it'll take you right to the post. One-stop shopping!
Happy exploring! Please let me know if you have any questions about any of the projects or posts.
Also, featured in This Old House Magazine!
Click here for the whole home tour of our 1929 House!
For more pictures and updates, make sure you follow The DIY Bungalow on Instagram!


Click on the name of a commission to go to their website, if one exists.
There are approximately 140 members of the Admissions and Records Commission. The Commission elects its officers in the fall, and officers serve a three year term. The Commission is also affiliated with IACRAO on the state level and AACRAO on the national level.
The Arts and Science Transfer and Developmental Education Administrators Commission is a statewide organization that examines issues and proposes solutions to issues that concern transfer deans and administrators who work with developmental education. Issues such as placement testing and articulation to different institutions are examined. However, this commission also examines a number of topics of interest to arts and science deans, including distance learning, technology, scheduling, curriculum, assessment, honors programs, etc. The Commission allows transfer deans from institutions across the state to discuss issues that play a major role in their jobs at the institution.
Membership in the Career Commission consists of administrators of career programs throughout the state of Illinois. A chair and vice-chair are elected at the Fall ICCCA Conference in November each year. The chair serves a one-year term. The chair of the Career Commission also sits on planning committees for the Illinois Council of Occupational Education.
Membership in the Illinois Community College Career Services Professionals (IC3SP) consists of Administrators and Career Services Professionals from Career Services Offices at Community Colleges throughout Illinois. The Commission of IC3SP meets once each semester to provide professional development opportunities for its members. IC3SP maintains a listserve used for information sharing and networking. An IC3SP/ICCCA Commission President , President Elect and Treasurer are elected each year at the ICCCA Fall Conference Commission Meeting and serve a one year term. Attendance at ICCCA Governing Board Meetings is shared between the President and President-Elect.
The Illinois Community College Chief Student Services Officers (ICCCSSO) is a network of executive-level administrative professionals of the 49 community colleges in Illinois. ICCCSSO meets three times annually to discuss issues of importance to student services: an annual winter meeting in February, a summer meeting in June; and in conjunction with the ICCCA conference in November. Examples of topics discussed, monitored and acted upon include but are not limited to: Illinois Articulation Initiative (IAI) and Transfer, International Students, Financial Aid/Student Costs, P-20 Partnerships, Student Success, Dual Credit, Legislative Issues, Campus Safety and Leadership Development. There are four officer positions: President, President-Elect, Secretary/Treasurer and Immediate Past-President. The President serves as the official representative to the Illinois Council of Community College Administrators (ICCCA) and to the Council of Presidents.
This commission strives to support continuing educators in Illinois community colleges and enable them to provide the highest quality programs for it's constituents within their districts. Committees are established to support that purpose and provide opportunity for professional development and networking to commission members. Officers are elected at the Fall ICCCA conference, and serve a one-year term January-December. The commission is affiliated with the National Council for Continuing Education and Training.
Illinois Community College Diversity Commission (ICCDC) is a statewide collaborative effort whose purpose is to achieve Inclusive Excellence throughout the Illinois community college system. Specifically, ICCDC is committed to advocating for Illinois community college diversity practitioners in their efforts to create strategic objectives to advance their campus diversity initiatives and address issues that impact community college stakeholders from diverse populations. ICCDC provides professional development and networking opportunities, promotes best practices, encourages collaboration amongst Illinois community colleges in programming and events promoting cultural awareness, recognizes practitioners for outstanding service in advancing diversity, and more. Officers are elected at the Fall ICCCA conference and serve a one-year term.
The Financial Aid Commission elects its officers at the meeting of the Illinois Association of Student Financial Aid Administrators (ILASFAA). Officers serve a term of two years. The vice president of the Commission is also the ICCCA representative. The Commission is also affiliated with the Midwest Association of Financial Aid Administrators (MAFAA) and the National Association of Student Financial Aid Administrators (NASFA).
Dedicated to the learning college, the Information Technology Commission consists of approximately 40 senior technology leaders throughout the state. The commission meets at least three times a year for Executive and Technical Summits and exchanges information regularly through a list server. Commission members work together and share information on policy, legislation, governance, process, and technical issues. The commission President represents colleges on a state wide level by serving on the Advanced Engineering Taskforce (AET) in an advisory roll for the Illinois Century Network.
The Learning Resources Commission is represented by NILRC: Network of Illinois Learning Resources in Community Colleges. Formed in 1975 as a 501c3, not-for-profit educational corporation, NILRC is a regional and national leader in consortial purchasing and licensing of online databases and other instructional materials, in distance learning delivery, and in staff development opportunities for Learning Resource Center (LRC) personnel by sharing creative ideas and best practices in instructional settings. Representation in NILRC consists of community colleges throughout Illinois and nearby areas. NILRC delegates annually elect a new chair to a three-year term effective July 1. The past chair assumes duties of the commission liaison role with ICCCA in July.
This commission is affiliated with ICCSAA (Illinois Community College Student Activities Association). Officers are elected at the spring conference. Officers hold a two-year term. The association President or a member of the association at the institution hosting the ICCCA meeting will attend.
The mission of the Economic and Workforce Development Commission is to act as a catalyst to strengthen community college economic/workforce development activities and to provide a strong network for the exchange of information on business center and other economic/workforce development concerns. Membership is open to all community college administrators who are involved in economic/workforce development.
Click on the title above to see a list of inactive commissions. If you are interested in reactivating an inactive commission, contact an officer of the ICCCA Board.


Download This FREE Handy Hiring Guide & Checklist.
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its chairman was named, "Shahbandar of Traders".
amended to Law No.6 for the year 2002 ( the current law).
the Chambers' jurisdictions represent the commercial interests in front of public authorities .
who engaged in trade activities in the Arab Republic of Egypt.
of Commerce that must be located in Cairo Governorate.
1- Making policies for the Cairo Chamber.
rules Plus investing the surplus funds.
and monitoring the work process facilitation.
2-Following-up to the implementation of the budget.
4-Preparing the Board of Directors agenda.
the tasks of the Chamber's staff and their affairs.
2-Implementing the budget within the laws and regulations.
disseminating the data and information related to the local business.


text:
module.exports = Client

var bencode = require('bencode')
var BN = require('bn.js')
var common = require('./lib/common')
var compact2string = require('compact2string')
var debug = require('debug')('bittorrent-tracker')
var dgram = require('dgram')
var EventEmitter = require('events').EventEmitter
var extend = require('extend.js')
var get = require('simple-get')
var hat = require('hat')
var http = require('http')
var https = require('https')
var inherits = require('inherits')
var once = require('once')
var url = require('url')

inherits(Client, EventEmitter)

/**
 * A Client manages tracker connections for a torrent.
 *
 * @param {string} peerId  this peer's id
 * @param {Number} port    port number that the client is listening on
 * @param {Object} torrent parsed torrent
 * @param {Object} opts    optional options
 * @param {Number} opts.numWant    number of peers to request
 * @param {Number} opts.interval   interval in ms to send announce requests to the tracker
 */
function Client (peerId, port, torrent, opts) {
  var self = this
  if (!(self instanceof Client)) return new Client(peerId, port, torrent, opts)
  EventEmitter.call(self)
  self._opts = opts || {}

  // required
  self._peerId = Buffer.isBuffer(peerId)
    ? peerId
    : new Buffer(peerId, 'hex')
  self._port = port
  self._infoHash = Buffer.isBuffer(torrent.infoHash)
    ? torrent.infoHash
    : new Buffer(torrent.infoHash, 'hex')
  self.torrentLength = torrent.length

  // optional
  self._numWant = self._opts.numWant || 50
  self._intervalMs = self._opts.interval || (30 * 60 * 1000) // default: 30 minutes

  debug('new client %s', self._infoHash.toString('hex'))

  if (typeof torrent.announce === 'string') torrent.announce = [ torrent.announce ]
  self._trackers = (torrent.announce || [])
    .filter(function (announceUrl) {
      var protocol = url.parse(announceUrl).protocol
      return protocol === 'udp:' || protocol === 'http:' || protocol === 'https:'
    })
    .map(function (announceUrl) {
      return new Tracker(self, announceUrl, self._opts)
    })
}

/**
 * Simple convenience function to scrape a tracker for an infoHash without
 * needing to create a Client, pass it a parsed torrent, etc.
 * @param  {string}   announceUrl
 * @param  {string}   infoHash
 * @param  {function} cb
 */
Client.scrape = function (announceUrl, infoHash, cb) {
  cb = once(cb)
  var dummy = {
    peerId: new Buffer('01234567890123456789'),
    port: 6881,
    torrent: {
      infoHash: infoHash,
      announce: [ announceUrl ]
    }
  }
  var client = new Client(dummy.peerId, dummy.port, dummy.torrent)
  client.once('error', cb)
  client.once('scrape', function (data) {
    cb(null, data)
  })
  client.scrape()
}

Client.prototype.start = function (opts) {
  var self = this
  self._trackers.forEach(function (tracker) {
    tracker.start(opts)
  })
}

Client.prototype.stop = function (opts) {
  var self = this
  self._trackers.forEach(function (tracker) {
    tracker.stop(opts)
  })
}

Client.prototype.complete = function (opts) {
  var self = this
  self._trackers.forEach(function (tracker) {
    tracker.complete(opts)
  })
}

Client.prototype.update = function (opts) {
  var self = this
  self._trackers.forEach(function (tracker) {
    tracker.update(opts)
  })
}

Client.prototype.scrape = function (opts) {
  var self = this
  self._trackers.forEach(function (tracker) {
    tracker.scrape(opts)
  })
}

Client.prototype.setInterval = function (intervalMs) {
  var self = this
  self._intervalMs = intervalMs

  self._trackers.forEach(function (tracker) {
    tracker.setInterval(intervalMs)
  })
}

inherits(Tracker, EventEmitter)

/**
 * An individual torrent tracker (used by Client)
 *
 * @param {Client} client       parent bittorrent tracker client
 * @param {string} announceUrl  announce url of tracker
 * @param {Object} opts         optional options
 */
function Tracker (client, announceUrl, opts) {
  var self = this
  EventEmitter.call(self)
  self._opts = opts || {}

  self.client = client

  debug('new tracker %s', announceUrl)

  self._announceUrl = announceUrl
  self._intervalMs = self.client._intervalMs // use client interval initially
  self._interval = null

  var protocol = url.parse(self._announceUrl).protocol
  if (protocol === 'udp:') {
    self._requestImpl = self._requestUdp
  } else if (protocol === 'http:' || protocol === 'https:') {
    self._requestImpl = self._requestHttp
  }
}

Tracker.prototype.start = function (opts) {
  var self = this
  opts = opts || {}
  opts.event = 'started'

  debug('sent `start` %s', self._announceUrl)
  self._announce(opts)
  self.setInterval(self._intervalMs) // start announcing on intervals
}

Tracker.prototype.stop = function (opts) {
  var self = this
  opts = opts || {}
  opts.event = 'stopped'

  debug('sent `stop` %s', self._announceUrl)
  self._announce(opts)
  self.setInterval(0) // stop announcing on intervals
}

Tracker.prototype.complete = function (opts) {
  var self = this
  opts = opts || {}
  opts.event = 'completed'
  opts.downloaded = opts.downloaded || self.torrentLength || 0

  debug('sent `complete` %s', self._announceUrl)
  self._announce(opts)
}

Tracker.prototype.update = function (opts) {
  var self = this
  opts = opts || {}

  debug('sent `update` %s', self._announceUrl)
  self._announce(opts)
}

/**
 * Send an announce request to the tracker.
 * @param {Object} opts
 * @param {number=} opts.uploaded
 * @param {number=} opts.downloaded
 * @param {number=} opts.left (if not set, calculated automatically)
 */
Tracker.prototype._announce = function (opts) {
  var self = this
  opts = extend({
    uploaded: 0, // default, user should provide real value
    downloaded: 0 // default, user should provide real value
  }, opts)

  if (self.client.torrentLength != null && opts.left == null) {
    opts.left = self.client.torrentLength - (opts.downloaded || 0)
  }

  self._requestImpl(self._announceUrl, opts)
}

/**
 * Send a scrape request to the tracker.
 */
Tracker.prototype.scrape = function () {
  var self = this

  self._scrapeUrl = self._scrapeUrl || getScrapeUrl(self._announceUrl)

  if (!self._scrapeUrl) {
    debug('scrape not supported %s', self._announceUrl)
    self.client.emit('error', new Error('scrape not supported for announceUrl ' + self._announceUrl))
    return
  }

  debug('sent `scrape` %s', self._announceUrl)
  self._requestImpl(self._scrapeUrl, { _scrape: true })
}

Tracker.prototype.setInterval = function (intervalMs) {
  var self = this
  clearInterval(self._interval)

  self._intervalMs = intervalMs
  if (intervalMs) {
    self._interval = setInterval(self.update.bind(self), self._intervalMs)
  }
}

Tracker.prototype._requestHttp = function (requestUrl, opts) {
  var self = this

  if (opts._scrape) {
    opts = extend({
      info_hash: self.client._infoHash.toString('binary')
    }, opts)
  } else {
    opts = extend({
      info_hash: self.client._infoHash.toString('binary'),
      peer_id: self.client._peerId.toString('binary'),
      port: self.client._port,
      compact: 1,
      numwant: self.client._numWant
    }, opts)

    if (self._trackerId) {
      opts.trackerid = self._trackerId
    }
  }

  get.concat(requestUrl + '?' + common.querystringStringify(opts), function (err, data, res) {
    if (err) return self.client.emit('warning', err)
    if (res.statusCode !== 200) return self.client.emit('warning', new Error('Non-200 response code ' + res.statusCode + ' from ' + requestUrl))
    if (data && data.length) self._handleResponse(requestUrl, data)
  })
}

Tracker.prototype._requestUdp = function (requestUrl, opts) {
  var self = this
  opts = opts || {}
  var parsedUrl = url.parse(requestUrl)
  var socket = dgram.createSocket('udp4')
  var transactionId = new Buffer(hat(32), 'hex')

  var stopped = opts.event === 'stopped'
  // if we're sending a stopped message, we don't really care if it arrives, so set
  // a short timer and don't call error
  var timeout = setTimeout(function () {
    timeout = null
    cleanup()
    if (!stopped) {
      error('tracker request timed out')
    }
  }, stopped ? 1500 : 15000)

  if (timeout && timeout.unref) {
    timeout.unref()
  }

  send(Buffer.concat([
    common.CONNECTION_ID,
    common.toUInt32(common.ACTIONS.CONNECT),
    transactionId
  ]))

  socket.on('error', error)

  socket.on('message', function (msg) {
    if (msg.length < 8 || msg.readUInt32BE(4) !== transactionId.readUInt32BE(0)) {
      return error('tracker sent back invalid transaction id')
    }

    var action = msg.readUInt32BE(0)
    switch (action) {
      case 0: // handshake
        if (msg.length < 16) {
          return error('invalid udp handshake')
        }

        if (opts._scrape) {
          scrape(msg.slice(8, 16))
        } else {
          announce(msg.slice(8, 16), opts)
        }

        return

      case 1: // announce
        cleanup()
        if (msg.length < 20) {
          return error('invalid announce message')
        }

        var interval = msg.readUInt32BE(8)
        if (interval && !self._opts.interval && self._intervalMs !== 0) {
          // use the interval the tracker recommends, UNLESS the user manually specifies an
          // interval they want to use
          self.setInterval(interval * 1000)
        }

        self.client.emit('update', {
          announce: self._announceUrl,
          complete: msg.readUInt32BE(16),
          incomplete: msg.readUInt32BE(12)
        })

        var addrs
        try {
          addrs = compact2string.multi(msg.slice(20))
        } catch (err) {
          return self.client.emit('warning', err)
        }
        addrs.forEach(function (addr) {
          self.client.emit('peer', addr)
        })
        break

      case 2: // scrape
        cleanup()
        if (msg.length < 20) {
          return error('invalid scrape message')
        }
        self.client.emit('scrape', {
          announce: self._announceUrl,
          complete: msg.readUInt32BE(8),
          downloaded: msg.readUInt32BE(12),
          incomplete: msg.readUInt32BE(16)
        })
        break

      case 3: // error
        cleanup()
        if (msg.length < 8) {
          return error('invalid error message')
        }
        self.client.emit('error', new Error(msg.slice(8).toString()))
        break
    }
  })

  function send (message) {
    if (!parsedUrl.port) {
      parsedUrl.port = 80
    }
    socket.send(message, 0, message.length, parsedUrl.port, parsedUrl.hostname)
  }

  function error (message) {
    // errors will often happen if a tracker is offline, so don't treat it as fatal
    self.client.emit('warning', new Error(message + ' (' + requestUrl + ')'))
    cleanup()
  }

  function cleanup () {
    if (timeout) {
      clearTimeout(timeout)
      timeout = null
    }
    try { socket.close() } catch (err) {}
  }

  function genTransactionId () {
    transactionId = new Buffer(hat(32), 'hex')
  }

  function announce (connectionId, opts) {
    opts = opts || {}
    genTransactionId()

    send(Buffer.concat([
      connectionId,
      common.toUInt32(common.ACTIONS.ANNOUNCE),
      transactionId,
      self.client._infoHash,
      self.client._peerId,
      toUInt64(opts.downloaded || 0),
      opts.left ? toUInt64(opts.left) : new Buffer('FFFFFFFFFFFFFFFF', 'hex'),
      toUInt64(opts.uploaded || 0),
      common.toUInt32(common.EVENTS[opts.event] || 0),
      common.toUInt32(0), // ip address (optional)
      common.toUInt32(0), // key (optional)
      common.toUInt32(self.client._numWant),
      toUInt16(self.client._port || 0)
    ]))
  }

  function scrape (connectionId) {
    genTransactionId()

    send(Buffer.concat([
      connectionId,
      common.toUInt32(common.ACTIONS.SCRAPE),
      transactionId,
      self.client._infoHash
    ]))
  }
}

Tracker.prototype._handleResponse = function (requestUrl, data) {
  var self = this

  try {
    data = bencode.decode(data)
  } catch (err) {
    return self.client.emit('warning', new Error('Error decoding tracker response: ' + err.message))
  }
  var failure = data['failure reason']
  if (failure) {
    debug('failure from ' + requestUrl + ' (' + failure + ')')
    return self.client.emit('warning', new Error(failure))
  }

  var warning = data['warning message']
  if (warning) {
    debug('warning from ' + requestUrl + ' (' + warning + ')')
    self.client.emit('warning', new Error(warning))
  }

  debug('response from ' + requestUrl)

  if (requestUrl === self._announceUrl) {
    var interval = data.interval || data['min interval']
    if (interval && !self._opts.interval && self._intervalMs !== 0) {
      // use the interval the tracker recommends, UNLESS the user manually specifies an
      // interval they want to use
      self.setInterval(interval * 1000)
    }

    var trackerId = data['tracker id']
    if (trackerId) {
      // If absent, do not discard previous trackerId value
      self._trackerId = trackerId
    }

    self.client.emit('update', {
      announce: self._announceUrl,
      complete: data.complete,
      incomplete: data.incomplete
    })

    var addrs
    if (Buffer.isBuffer(data.peers)) {
      // tracker returned compact response
      try {
        addrs = compact2string.multi(data.peers)
      } catch (err) {
        return self.client.emit('warning', err)
      }
      addrs.forEach(function (addr) {
        self.client.emit('peer', addr)
      })
    } else if (Array.isArray(data.peers)) {
      // tracker returned normal response
      data.peers.forEach(function (peer) {
        self.client.emit('peer', peer.ip + ':' + peer.port)
      })
    }

    if (Buffer.isBuffer(data.peers6)) {
      // tracker returned compact response
      try {
        addrs = compact2string.multi6(data.peers6)
      } catch (err) {
        return self.client.emit('warning', err)
      }
      addrs.forEach(function (addr) {
        self.client.emit('peer', addr)
      })
    } else if (Array.isArray(data.peers6)) {
      // tracker returned normal response
      data.peers6.forEach(function (peer) {
        var ip = /^\[/.test(peer.ip) || !/:/.test(peer.ip)
          ? peer.ip /* ipv6 w/ brackets or domain name */
          : '[' + peer.ip + ']' /* ipv6 without brackets */
        self.client.emit('peer', ip + ':' + peer.port)
      })
    }
  } else if (requestUrl === self._scrapeUrl) {
    // NOTE: the unofficial spec says to use the 'files' key but i've seen 'host' in practice
    data = data.files || data.host || {}
    data = data[self.client._infoHash.toString('binary')]

    if (!data) {
      self.client.emit('warning', new Error('invalid scrape response'))
    } else {
      // TODO: optionally handle data.flags.min_request_interval (separate from announce interval)
      self.client.emit('scrape', {
        announce: self._announceUrl,
        complete: data.complete,
        incomplete: data.incomplete,
        downloaded: data.downloaded
      })
    }
  }
}

function toUInt16 (n) {
  var buf = new Buffer(2)
  buf.writeUInt16BE(n, 0)
  return buf
}

var MAX_UINT = 4294967295

function toUInt64 (n) {
  if (n > MAX_UINT || typeof n === 'string') {
    var bytes = new BN(n).toArray()
    while (bytes.length < 8) {
      bytes.unshift(0)
    }
    return new Buffer(bytes)
  }
  return Buffer.concat([common.toUInt32(0), common.toUInt32(n)])
}

var UDP_TRACKER = /^udp:\/\//
var HTTP_SCRAPE_SUPPORT = /\/(announce)[^\/]*$/

function getScrapeUrl (announceUrl) {
  if (announceUrl.match(UDP_TRACKER)) return announceUrl
  var match = announceUrl.match(HTTP_SCRAPE_SUPPORT)
  if (match) {
    var i = match.index
    return announceUrl.slice(0, i) + '/scrape' + announceUrl.slice(i + 9)
  }
  return null
}


World-class opera in a spectacular setting: Opera Australia's Opera on Sydney Harbour returns with Madama Butterfly. Puccini's masterpiece is one of opera's greatest tragic tales, with glorious music – including the 'Humming Chorus' and 'Un bel dì' – to match. But never before has it been so stunningly presented, with Sydney Harbour, the Opera House and the Harbour Bridge as a backdrop, brilliant fireworks illuminating the night sky and a lavish production directed by the renowned Àlex Ollé (La Fura dels Baus).


There are a number of professional bodies that provide accountancy training, including ICAEW (Institute of Chartered Accountants in England & Wales) ACCA (Association of Chartered Certified Accountants), CIMA (Chartered Institute of Management Accountants), and AAT (Association of Accounting Technicians). However, almost all trainee accountants at Richardsons are working towards qualification as a Chartered Accountant through the ICAEW.
In order to qualify as a Chartered Accountant, trainees enter into a training contract with a recognised training organisation, either an accountancy practice or certain firms in industry. Contracts are typically three or four years long, and provide trainees with practical experience to supplement their studies.
Throughout the contract, trainees will take a number of professional exams across a range of technical subjects including accountancy, audit and assurance, taxation, business finance, business management and financial reporting. In addition, several topics are covered by course work only, for example company law and professional ethics. This breadth of course content is considered one of the major strengths of the training programme, and provides qualified Chartered Accountants with a broad knowledge and skills base on which to build their future career. Chartered Accountants therefore work in a very wide variety of environments, including practice, industry, education, government, charities, banking and finance, entertainment and media, and running their own businesses. The qualification also enjoys worldwide recognition, and many Chartered Accountants therefore choose to spend some time working overseas.


text:
Q: Cryptsetup and partitions I have the following Centos 7 system that I inherited.  Here's the disk setup:
# lsblk
NAME        MAJ:MIN RM   SIZE RO TYPE  MOUNTPOINT
sda           8:0    0 931.5G  0 disk
├─sda1        8:1    0   200M  0 part  /boot/efi
├─sda2        8:2    0     1G  0 part  /boot
└─sda3        8:3    0 930.3G  0 part
  ├─cl-root 253:0    0    50G  0 lvm   /
  ├─cl-swap 253:1    0   3.9G  0 lvm   [SWAP]
  └─cl-home 253:2    0 876.4G  0 lvm   /home
sdb           8:16   0   3.7T  0 disk
└─sdb1        8:17   0   3.7T  0 part
  └─crypt1  253:4    0   3.7T  0 crypt /mount1
sdc           8:32   0  12.8T  0 disk
└─crypt2    253:3    0  12.8T  0 crypt /mount2
sdd           8:48   0   2.7T  0 disk
└─crypt3    253:5    0   2.7T  0 crypt /mount3

Note that everything is working fine, and all the crypt disks open fine and are fully accessible.  My question is more about tidyness:  Note that disk sdb has a partition defined whereas sdc and sdd do not.  Is this a "problem" in any way shape or form (e.g. security)?  Should sdc and sdd have partitions too?  Or is this something that I can continue to ignore?

A: You may ignore it. sdc and sdd are block devices, so you can encrypt them or build file systems on them the same as sdb1.
Partitioning adds flexibility or course. But you can also get that by adding the disks to an LVM storage pool.
Note, I'm not able to immediately find any documentation about this. So take it with a grain of salt. But it's always been my understanding, and I've used unpartitioned disks without any trouble.


"For where to hotel is located within more plush surroundings, I expected a little more finesse than was delivered. The room and facilities w..."
"This hotel is fantastic value for its location. The decor is dated and tired but it is clean and the service was great. The bed was comfy. P..."
"Very basic, budget accommodation, you get what you pay for. The decor is tired and my single room was the size of a shoe cupboard, I paid fo..."
"Cheap & cheerful, clean and tidy. Good breakfast service. Great location for London Victoria...."
"I had an early flight and with Victoria station and the Gatwick Express only being 5min walk away this was ideal. Great price for the locati..."
We are a family run Bed and Breakfast which we have been running since 1981. The Hotel provides guests with clean, comfortable accommodation with both En-suite and Shared Facilities for guest traveling on a budget with rooms from £45. All rooms have Tea/Coffee making facilities, Digital LCD Television, Telephone, Wi-Fi Internet Access, towels and soap.
We have a Reception desk open 24 hours 7 Days a week for guests to check-in as Late as wish. We book tours and attractions tickets from Reception, also can arrange Airport Transfers. Jubilee Hotel is located on the South side of Eccleston Square, the building is a Grade II Listed building by English Heritage for its historic significance. The building has 6 floors from Lower Ground Floor to Fourth Floor, with many original features dating back to 1828 (Staircase, Fireplace, sash windows, detailed Plaster cornices etc) We Do not have an Elevator/Lift.
This is a B&B as far as I can tell.
The "Breakfast" should have been more openly advertised as not having any cooked breakfast options. The room wasn't particularly clean, as the carpet was coming away and was dirty. I was required to give over my driving license details and sign additional paperwork, which was not mentioned at any point in the booking prior and was something I was very uncomfortable doing. Wouldn't stay here again.
For where to hotel is located within more plush surroundings, I expected a little more finesse than was delivered.


Another intern talks about his life in Fukuoka. Jordan from the United States decided on an internship at Gallery Moryta in Akasaka.
I wanted to go to Fukuoka and looked for internship programs. I found Asahi Nihongo easily and as it was a language school to also offer internships providing a good service at a reasonable price, I did not hesitate long and applied.
I have always been interested in arts and photography, so an internship at Gallery Moryta just fitted best to my interests.
There were many different tasks I had to do. Most of the time I was in charge of the English promotion of the gallery and the social media. For instance, I created a video for our latest exhibition all by my own. Additionally, I translated texts from Japanese in English, so we could hand out English flyer to visitors. My supervisor Mr. Morita and I also went once to a Japanese Garden called Gyorakuten, located in the southern part of Fukuoka prefecture. I had the chance to take some astonishing photos there and see a traditional Japanese tea house from inside.
My trip to the Japanese garden Gyorakuten was a memorable moment for me. Furthermore, I loved meeting interesting from the Japanese art scene in our gallery.
The people in Fukuoka are very kind and warmhearted compared to bigger cities in Japan. It seems to be a excellent place to live with a good and simple traffic connection.
A fundamental understanding of Japanese is essential for a good internship. If you are not able, for example, to understand dates, times or places in Japanese, a smooth communication with your supervisor might be difficult. Moreover, I recommend you to get yourself internet on your phone in Japan. GPS and other application are very useful, if you want to make your way through Fukuoka.


text:
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MOZARTEUM UNIVERSITY
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Vera Schoenenberg,
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The German-born soprano Vera Schoenenberg began her musical career as an instrumentalist in the Musikhochschule in Cologne. While there she received her first singing lessons with Professor Klesie Kelly. Subsequently she studied opera with Professor Ingeborg Reichelt at the Robert-Schumann-Hochschule in Düsseldorf. Schoenenberg has coached with Bernd Weikl, Charles Spencer and Tamar Rachum and has performed in master classes with Richard Miller and Brigitte Fassbaender. Since 2008 she works regularly with Edita Gruberova.
Between 2001 and 2006 she was a regular performer in the Ulm Theatre. There she made her debut as Violetta in Verdi's La Traviata. Schoenenberg performs in many European opera houses, most recently the theaters of Basel and of Ulm. Recent successes include performances of Elmire in Tartuffe by Marx and as Sylva Varescu in the Gypsy Princess . The latter role she sang with great success at the Operetta Festival Mörbisch 2002 which was broadcast by ORF, BR, ZDF and 3SAT.
Her diverse repertoire also includes the roles of Helena in A Midsummer Night's Dream, Lisa in The Land of Smiles, Josabeth in Handel's oratorio Athalia, Hannah Glawari in The Merry Widow, Micaela in Carmen, Eurydice in Orpheus in the Underworld, Nedda in Pagliacci, the title role in Gluck's Armide, Ilia in Mozart's Idomeneo, Salud in La Vida Breve, Fiordiligi in Cosi fan tutte, Donna Anna in Don Giovanni, Jenny in The Rise and Fall of the City of Mahagonny, and Countess Gabriele and Countess Maritza in the operetta Vienna Blood.
In addition, Vera Schoenenberg is in demand as a concert singer with performances in Austria, Italy, Switzerland, France, Spain, Israel and Norway. She has appeared in numerous galas including the Herbert von Karajan Memorial Concert with Leo Nucci.
In March 2009 she was named lecturer in voice at the University of Music and Dramatic Arts at the University Mozarteum in Salzburg.
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This spring, 28 Texas nonprofit employees ages 20 through 30 became the inaugural class of the Emerging Leaders program, an innovative venture to find and develop the next generation of nonprofit leaders in Texas.
A collaborative program between OneStar Foundation: Texas Center for Social Impact and the Bush School of Government and Public Service at Texas A&M University, the Emerging Leaders program involves a week-in-residence featuring highly interactive seminars led by Bush School professors, followed by online coaching, instruction and mentoring. The program allows participants from all over Texas to develop and understand their management, leadership and mentoring styles together, ultimately preparing them to assume leadership roles in the nonprofit sector. The Bush School has committed to continuing this program beyond OneStar's inaugural investment.
Emerging Leaders utilized a combination of group and individual training, which gave participants the opportunity to both professionally connect with their peers and receive personalized instruction. While participants spent May 18-22, 2009, at the week-in-residence training at the Bush School, the online individual coaching will continue for another six months.
One of famed coach Vince Lombardi's most popular quotes was, "Leaders aren't born; they are made. And they are made just like anything else, through hard work." Thanks to programs such as Emerging Leaders, the next generation of Texas nonprofit leaders have the opportunity to connect and collaborate with one another, giving the entire nonprofit sector a brighter, stronger future.
To learn about upcoming training sessions like the Emerging Leaders program, create an account on OneStar's Web site at http://www.onestarfoundation.org/page/registration.


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Northwest Travel Ideas
Angela has been writing about life, travel, and recreation in the Northwest, where she grew up, since 2000.
Matt Anderson Photography / Getty Images
The Northwest is so rich with fun things to do and gorgeous sites to see, it can be difficult to narrow down your list of vacation options. Those who live in this region know that it would take a lifetime (or more!) to visit all the wonders that the Northwest holds. And while there are always new places to explore, old favorites can draw you again and again. You'll want to experience these places at different times of the year, in a different light and different seasons like Winter and Fall. For those who aren't lucky enough to live here, there are many reasons to choose the Northwest as your vacation destination.
Feng Wei Photography / Getty Images
These Northwest destinations feature a broad range of activities in uniquely scenic locations. They offer opportunities to learn and play and share quality time with your loved ones.
Oregon Dunes National Recreation Area, Oregon
Glacier National Park, Montana
Mount St. Helens, Washington
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Charming lodging, fine dining, and romantic strolling options make these destinations ideal for couples who want to spend quality time focusing on each other.
Cannon Beach, Oregon
Sandpoint, Idaho
Daniel A. Leifheit / Getty Images
Whether you're interested in seeing creatures with fur, fins, or feathers, these locations offer the opportunity to view the region's gorgeous wildlife in their natural setting.
Denali National Park, Alaska
Yellowstone National Park, Montana, Wyoming, and Idaho
Golf Getaways
Coeur d'Alene Resort Golf Course
These Northwest golf destinations offer a range of challenging courses along with a broad range of visitor services and amenities.
Tri-Cities, Washington
Coeur d'Alene, Idaho
Bandon, Oregon
Experience History
Hans Balsing / 500px / Getty Images
These historically-significant destinations offer interesting learning experiences in combination with hands-on activities and recreation.
Lewis & Clark National Historical Park, Washington, and Oregon
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You'll enjoy a broad range of water activities on these Northwest lakes and rivers, including whitewater rafting, water skiing, windsurfing, and house boating.
Lake Roosevelt National Recreation Area, Washington
Middle Fork of the Salmon River, Idaho
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Downhill skiing, cross country skiing, snowboarding, snowshoeing, snowmobiling, and sledding and tubing. You'll find it all in abundance in the Northwest.
Sun Valley, Idaho
Whitefish, Montana
Jackson Hole, Wyoming
King Estate Winery
Tours vineyards and wineries and sample the fruits of their labor in these scenic Northwest wine regions that take pride in their hospitality.
Columbia Valley, Washington
Sample the Best
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When selecting where to go and what to do during your Northwest vacation time, you can choose to focus your travels around one major attraction, such as a national park, a historic area, or a scenic wonder. Another choice is to combine a few of the Northwest's great visitor attractions into a multi-day road trip. You'll enjoy a number of memorable visitor attractions along with the local flavor of the Northwest's lively cities and charming towns.
Memorable Holiday Fun During the Christmas Season in the Northwest
Fun Things to Do Along the Oregon Coast in Bandon
Top Golf Vacation Destinations in the Northwest US
Christmas Season Getaways in the Pacific Northwest
Fun Things to Do in Klamath Falls, Oregon
Ideas for Family-friendly Getaways in Oregon
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CONEY ISLAND, Brooklyn (WABC) -- A woman in Brooklyn was the target of a terrifying home invasion robbery by a man who was pretending to be a utility worker.
The 81-year-old woman was robbed at knife-point after a man pushed his way into her home in Coney Island, claiming to be a ConEd worker.
The man threatened to kill her, taped her mouth shut, ate her food, then stole her watch.
The woman managed to escape; so did the suspect.
On Tuesday, Con Edison issued a warning to customers to beware of impostors claiming to be from the company and seeking to enter a home or business.
The utility said its employees carry identification cards with their photo, name and the company's name and logo. If a customer has doubts about the person, they are asked to call 1-800-75CONED before letting the person in.


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Canadian funk duo Chromeo have cancelled their Australian shows for 2018.
Dave 1 and Pee (aka Chromeo) cite health reasons for the sudden cancellation.
We are truly sorry to announce that our upcoming July shows in Sydney, Melbourne and Splendour In The Grass have been canceled. It's been so long since we've visited you last and we were so excited to play for you. Unfortunately, the rigors of our touring schedule have caught up with us and we need to prioritize our health and well being. We're being told that this period would be best served as a time to rest. This was not an easy call to make. We hope you understand. Please know that we're doing everything we can to reschedule our time in Australia. We will see you all soon.
Dates cancelled are the 21 July show at Max Watt's, Melbourne and the 22 July show at the Metro in Sydney as well as the duo's Splendour In The Grass appearance.
Online/Telephone: If you purchased tickets online or via phone, the purchase price of your tickets will be refunded automatically to your credit card. Please allow 15 days for the refund to come through.
Outlet/Agency: If you purchased your tickets at a Ticketek agency, please take your tickets back to the place of purchase for a refund.


text:
class AddTeamLeaderToTeams < ActiveRecord::Migration
  def up
    add_reference :teams, :user, index: true

    User.where.not(leader_team_id: nil).each do |user|
      Team.find(user.leader_team_id).update(user_id: user.id)
    end

    remove_column :users, :leader_team_id
  end

  def down
    add_column :users, :leader_team_id, :integer

    Team.where.not(user_id: nil).each do |team|
      User.find(team.user_id).update(leader_team_id: team.id)
    end

    remove_column :teams, :user_id
  end
end


The new Porsche Cayman Black Edition emphasises the timeless and sporting elegance of the mid-engined, two-seat sports coupé. As the name suggests, the model is distinguished by a combination of a black paint finish and black partial leather interior, with further special equipment fitted as standard.
At the heart of the Cayman Black Edition beats an evocative 2.7-litre flat-six engine developing 275 hp (202 kW). The 20-inch Carrera Classic wheels with wider tyres increase style and also further boost the dynamic chassis responses for which the Cayman is renowned. Further eye-catching highlights are Bi-Xenon headlights with PDLS (Porsche Dynamic Light System) and optional side window trims in aluminium.
Special standard equipment of the Black Edition Cayman includes the Porsche Communication Management (PCM) with satellite navigation (with Online services featuring real-time traffic information), automatic anti-dazzle rear view mirrors, rain sensor, cruise control, front and rear ParkAssist and a Sport Design steering wheel.
For enhanced personal comfort, the driver and passenger enjoy a two-zone climate control system, heated seats and Bluetooth phone connectivity. The Cayman Black Edition also comes with the high-quality audio system Sound Package Plus.
The Porsche Cayman Black Edition goes on sale today in Porsche Centres, and is priced from £45,989 RRP in the UK and €82,767 RRP in Ireland.
In addition to the Black Edition features, standard equipment on every Cayman includes air conditioning, CDR audio system with 7-inch colour touchscreen, universal audio interface offering MP3 connectivity, auto stop/start, Sports mode, tyre pressure monitoring, Porsche Stability Management (PSM), three year warranty and three year roadside assistance package.
The all-in-black special series from the Stuttgart sports car manufacturer now includes the Cayman, Boxster and the 911 Carrera (with rear-wheel and all-wheel drive as both a coupé and a cabriolet) each distinguished by their extensive standard equipment levels.


text:
Dangerous Science
Science Policy and Risk Analysis for Scientists and Engineers
Daniel J. Rozell
Biology Engineering Public Policy Risk Analysis Science Science and Technology Studies
pandemics autonomous weapons synthetic biology genome editing risk assessment science policy
The public is generally enthusiastic about the latest science and technology, but sometimes research threatens the physical safety or ethical norms of society. When this happens, scientists and engineers can find themselves unprepared in the midst of an intense science policy debate. In the absence of convincing evidence, technological optimists and skeptics struggle to find common values on which to build consensus. The best way to avoid these situations is to sidestep the instigating controversy by using a broad risk-benefit assessment as a risk exploration tool to help scientists and engineers design experiments and technologies that accomplish intended goals while avoiding physical or moral dangers.
Dangerous Science explores the intersection of science policy and risk analysis to detail failures in current science policy practices and what can be done to help minimize the negative impacts of science and technology on society.
Daniel J. Rozell is an engineer and scientist affiliated with the Department of Technology and Society at Stony Brook University.


text:
Красник () — сельская гмина (волость) в Польше, входит как административная единица в Красницкий повят, Люблинское воеводство. Население — 6997 человек (на 2004 год).

Сельские округа
 Домброва-Бур
 Карпювка
 Ковалин
 Лясы
 Микулин
 Пасека
 Пасека-Колёня
 Подлесе
 Слодкув-Первши
 Слодкув-Други
 Слодкув-Тшеци
 Сплавы-Первше
 Сплавы-Друге
 Стружа
 Стружа-Колёня
 Сухыня

Соседние гмины
 Гмина Дзежковице
 Красник
 Гмина Шастарка
 Гмина Тшидник-Дужы
 Гмина Ужендув
 Гмина Вильколаз
 Гмина Закшувек

Ссылки
 Официальная страница

Гмины Люблинского воеводства

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