Pro/toolkit安装与内容详解：Pro/E二次开发关键工具

Pro二次开发技术与应用

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ProE野火4.0+vs2005 ProToolkit 二次开发测试详细教程

proe二次开发protoolkit

proe二次开发，参数化齿轮。//函数声明 void gear(); void spur(char *,char *,ProAppData); void spurOK(char *,char *,ProAppData); void bevel1(char *,char *,ProAppData); void bevel1OK(char *,char *,ProAppData); void UsrOkAction(char *,char *,ProAppData); void UsrCancelAction(char *,char *,ProAppData); static uiCmdAccessState TestAccessDefault(uiCmdAccessMode access_mode) { return (ACCESS_AVAILABLE); } //定义消息文件 ProName UserMsg; extern "C" int user_initialize() { uiCmdCmdId cmd_id1,cmd_id2,cmd_id3; //设置消息文件名称 ProStringToWstring(UserMsg,"menusmsg.txt"); //显示“新菜单启动”信息 ProMessageDisplay(UserMsg,"USER %0S","新菜单启动。"); //在菜单栏上指定位置添加新菜单 ProMenubarMenuAdd("UserMenu","新菜单","Utilities",PRO_B_FALSE,UserMsg); //设置按钮命令 ProCmdActionAdd("命令一",(uiCmdCmdActFn)gear,uiCmdPrioDefault,TestAccessDefault, PRO_B_TRUE,PRO_B_TRUE, &cmd_id1); //在新菜单上添加按钮【按钮一】 ProMenubarmenuPushbuttonAdd("UserMenu","按钮一","按钮一","按钮示例一",NULL,PRO_B_TRUE,cmd_id1,UserMsg); //gear(); return 0;

protoolkit二次开发

本书讲解了proe的二次开发步骤是初学者的一个好的工具是一个很好的例子

make for plat=atlas310 cross=aarch64-ascend310-linux-gnu- LDFLAGS=-Wl,--gc-sections -static -L/home/257916/server/test/v1.1/Trunk/build/../src/thirdpart/libs/atlas310 -L/home/257916/server/test/v1.1/Trunk/build/../lib/atlas310 -ldw -lbs -lpthread -lm EXTRA_CFLAGS=-DSVN_VERSION="\"64670"\" -I /net -DOSA_MODULE_NAME=Spectrum-Convert@64670 -DBUILD_DATE="\"Mon, 24 Jul 2023 19:48:54 +0800"\" CFLAGS=-D_GNU_SOURCE -I/home/257916/server/test/v1.1/Trunk/build/../include -I/home/257916/server/test/v1.1/Trunk/build/../src/base/include -I/home/257916/server/test/v1.1/Trunk/build/../src/base/test/include -I/home/257916/server/test/v1.1/Trunk/build/../src/decode/include -I/home/257916/server/test/v1.1/Trunk/build/../src/decode/test/include -I/home/257916/server/test/v1.1/Trunk/build/../src/fourier/include -I/home/257916/server/test/v1.1/Trunk/build/../src/fourier/test/include -I/home/257916/server/test/v1.1/Trunk/build/../src/include -I/home/257916/server/test/v1.1/Trunk/build/../src/service/include -I/home/257916/server/test/v1.1/Trunk/build/../src/service/test/include -I/home/257916/server/test/v1.1/Trunk/build/../src/draw/include -I/home/257916/server/test/v1.1/Trunk/build/../src/draw/test/include -I/home/257916/server/test/v1.1/Trunk/build/../tools/include -fPIC -ffunction-sections -fdata-sections -g -Wall -O1 -c -o ############################################################ mkdir -p /home/257916/server/test/v1.1/Trunk/build/../bin/atlas310 aarch64-ascend310-linux-gnu-g++ -o draw test/src/draw_pic_test.o -Wl,--gc-sections -static -L/home/257916/server/test/v1.1/Trunk/build/../src/thirdpart/libs/atlas310 -L/home/257916/server/test/v1.1/Trunk/build/../lib/atlas310 -ldw -lbs -lpthread -lm /opt/Atlas310-ascend/toolkit/toolchain/hcc/bin/../lib64/gcc/aarch64-target-linux-gnu/7.3.0/../../../../aarch64-target-linux-gnu/bin/ld: test/src/draw_pic_test.o: Relocations in generic ELF (EM: 62) /opt/Atlas310-ascend/toolkit/toolchain/hcc/bin/../lib64/gcc/aarch64-target-linux-gnu/7.3.0/../../../../aarch64-target-linux-gnu/bin/ld: test/src/draw_pic_test.o: Relocations in generic ELF (EM: 62) /opt/Atlas310-ascend/toolkit/toolchain/hcc/bin/../lib64/gcc/aarch64-target-linux-gnu/7.3.0/../../../../aarch64-target-linux-gnu/bin/ld: test/src/draw_pic_test.o: Relocations in generic ELF (EM: 62) /opt/Atlas310-ascend/toolkit/toolchain/hcc/bin/../lib64/gcc/aarch64-target-linux-gnu/7.3.0/../../../../aarch64-target-linux-gnu/bin/ld: test/src/draw_pic_test.o: Relocations in generic ELF (EM: 62) /opt/Atlas310-ascend/toolkit/toolchain/hcc/bin/../lib64/gcc/aarch64-target-linux-gnu/7.3.0/../../../../aarch64-target-linux-gnu/bin/ld: test/src/draw_pic_test.o: Relocations in generic ELF (EM: 62) /opt/Atlas310-ascend/toolkit/toolchain/hcc/bin/../lib64/gcc/aarch64-target-linux-gnu/7.3.0/../../../../aarch64-target-linux-gnu/bin/ld: test/src/draw_pic_test.o: Relocations in generic ELF (EM: 62) /opt/Atlas310-ascend/toolkit/toolchain/hcc/bin/../lib64/gcc/aarch64-target-linux-gnu/7.3.0/../../../../aarch64-target-linux-gnu/bin/ld: test/src/draw_pic_test.o: Relocations in generic ELF (EM: 62) /opt/Atlas310-ascend/toolkit/toolchain/hcc/bin/../lib64/gcc/aarch64-target-linux-gnu/7.3.0/../../../../aarch64-target-linux-gnu/bin/ld: test/src/draw_pic_test.o: Relocations in generic ELF (EM: 62) /opt/Atlas310-ascend/toolkit/toolchain/hcc/bin/../lib64/gcc/aarch64-target-linux-gnu/7.3.0/../../../../aarch64-target-linux-gnu/bin/ld: test/src/draw_pic_test.o: error adding symbols: file in wrong format collect2: error: ld returned 1 exit status make[1]: * [draw] Error 1 make[1]: Leaving directory `/home/257916/server/test/v1.1/Trunk/src/draw' make: * [draw] Error 2

/opt/Atlas310-ascend/toolkit/toolchain/hcc/bin/../lib64/gcc/aarch64-target-linux-gnu/7.3.0/../../../../aarch64-target-linux-gnu/bin/ld: test/src/draw_pic_test.o: error adding symbols: file in wrong ...

sudo apt update E: 软件源 https://nvidia.github.io/libnvidia-container/stable/ubuntu18.04/amd64/ / 的选项 Signed-By 中含有互相冲突的值：/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg !=

sudo rm /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg ``` 2. 手动添加`libnvidia-container`的签名密钥： ``` curl -s -L "https://nvidia.github.io/libnvidia-container/gpgkey" | sudo tee ...

E: 软件源 https://nvidia.github.io/libnvidia-container/stable/ubuntu18.04/amd64/ / 的选项 Signed-By 中含有互相冲突的值：/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg !=

sudo rm /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg ``` 2. 更新APT软件包缓存： ``` sudo apt update ``` 3. 重新安装nvidia-container-toolkit： ``` sudo apt install nvidia-...

libgtk3-nocsd.so.0 => /usr/lib/aarch64-linux-gnu/libgtk3-nocsd.so.0 (0x0000007f9d88c000) libgtk-x11-2.0.so.0 => /usr/lib/aarch64-linux-gnu/libgtk-x11-2.0.so.0 (0x0000007f9340a000)

这是一段与系统中的库文件相关的信息。...这些库文件可能是用于图形用户界面 (GUI) 开发的，例如 GTK (GIMP Toolkit) 库。通过这些库文件，开发者可以在应用程序中使用 GTK 的功能来创建用户界面。

E: 软件源 https://nvidia.github.io/libnvidia-container/stable/ubuntu18.04/amd64/ / 的选项 Signed-By 中含有互相冲突的值：/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg != E: 无法读取源列表。

sudo rm /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg ``` 2. 更新APT软件包缓存： ``` sudo apt update ``` 3. 重新安装`libnvidia-container`： ``` sudo apt install libnvidia-...

Error, not recognizing read name formatting: [S250028145L1C001R00100001196] If your data come from SRA, be sure to dump the fastq file like so: SRA_TOOLKIT/fastq-dump --defline-seq '@$sn[_$rn]/$ri' --split-files file.sra Error, cmd: seqtk-trinity seq -A <(gunzip -c /home/DuYD/PRACTICE/002_Hisat2/QL21JS702620-AD-1D-1L-UDB-149_UDB-149/QL21JS702620-AD-1D-1L-UDB-149_UDB-149.fq.gz) >> single.fa died with ret 512 at /home/DuYD/anaconda3/envs/Trinity/opt/trinity-2.8.5/util/insilico_read_normalization.pl line 788. Error, cmd: /home/DuYD/anaconda3/envs/Trinity/opt/trinity-2.8.5/util/insilico_read_normalization.pl --seqType fq --JM 100G --max_cov 200 --min_cov 1 --CPU 8 --output /home/DuYD/PRACTICE/003_Trinity/QL21JS702620-AD-1D-1L-UDB-149_UDB-149/trinity_out_dir/insilico_read_normalization --max_CV 10000 --single /home/DuYD/PRACTICE/002_Hisat2/QL21JS702620-AD-1D-1L-UDB-149_UDB-149/QL21JS702620-AD-1D-1L-UDB-149_UDB-149.fq.gz died with ret 512 at /home/DuYD/anaconda3/envs/Trinity/bin/Trinity line 2745. main::process_cmd("/home/DuYD/anaconda3/envs/Trinity/opt/trinity-2.8.5/util/insi"...) called at /home/DuYD/anaconda3/envs/Trinity/bin/Trinity line 3295 main::normalize("/home/DuYD/PRACTICE/003_Trinity/QL21JS702620-AD-1D-1L-UDB-149"..., 200, ARRAY(0x561ef13331e0)) called at /home/DuYD/anaconda3/envs/Trinity/bin/Trinity line 3238 main::run_normalization(200, ARRAY(0x561ef13331e0)) called at /home/DuYD/anaconda3/envs/Trinity/bin/Trinity line 1355这个报错是怎么回事

2. 建议如果数据来自 SRA 数据库，需要使用 SRA Toolkit 中的 `fastq-dump` 工具，命令为 `SRA_TOOLKIT/fastq-dump --defline-seq '@$sn[_$rn]/$ri' --split-files file.sra`； 3. 提供了两个命令行报错信息，分别是...

rm: 无法删除'/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg': 没有那个文件或目录

这个错误提示表示你尝试删除`/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg`这个文件，但是该文件不存在。这可能是由于你之前已经删除了该文件，或者该文件从未存在过。为了解决这个问题，你可以尝试跳...

C# 做 Pro/ENGINEER二次开发

Pro/ENGINEER是一款主要用于机械设计的软件，而C#是一种...另外，还可以通过Pro/TOOLKIT和Pro/INTRALINK等工具包来进行二次开发。总之，使用C#进行Pro/ENGINEER的二次开发可以增强软件的功能和灵活性，提高工作效率。

export LD_LIBRARY_PATH=/usr/local/Ascend/ascend-toolkit/latest/x86_64-linux/devlib/:$LD_LIBRARY_PATH

其中，/usr/local/Ascend/ascend-toolkit/latest/x86_64-linux/devlib/是华为Ascend AI芯片开发套件的动态链接库路径，$LD_LIBRARY_PATH表示将原来的LD_LIBRARY_PATH变量值保留，并将新的路径添加到其前面，这样就...

root@nbk:/home/hz# cd /usr/local/lib/python3.6/site-packages bash: cd: /usr/local/lib/python3.6/site-packages: 没有那个文件或目录

2. 下载sratoolkit.2.6.3-centos_linux64.tar.gz文件： ```shell wget http://ftp-trace.ncbi.nlm.nih.gov/sra/sdk/2.6.3/sratoolkit.2.6.3-centos_linux64.tar.gz ``` 请注意，这些命令需要在具有wget命令的系统上...

Collecting package metadata (current_repodata.json): done Solving environment: failed with initial frozen solve. Retrying with flexible solve. Collecting package metadata (repodata.json): done Solving environment: failed with initial frozen solve. Retrying with flexible solve. PackagesNotFoundError: The following packages are not available from current channels: - cudatoolkit=11.1 Current channels: - http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/win-64 - http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/noarch - http://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/win-64 - http://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/noarch - http://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/win-64 - http://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/noarch - https://repo.anaconda.com/pkgs/main/win-64 - https://repo.anaconda.com/pkgs/main/noarch - https://repo.anaconda.com/pkgs/r/win-64 - https://repo.anaconda.com/pkgs/r/noarch - https://repo.anaconda.com/pkgs/msys2/win-64 - https://repo.anaconda.com/pkgs/msys2/noarch To search for alternate channels that may provide the conda package you're looking for, navigate to https://anaconda.org and use the search bar at the top of the page.

然后再次尝试安装PyTorch和cudatoolkit： ``` conda install pytorch torchvision torchaudio cudatoolkit=11.1 -c pytorch -c conda-forge ``` 这种方式会先从pytorch channels中查找软件包，如果找不到再从conda...

Please make sure that - PATH includes /usr/local/cuda-11.1/bin - LD_LIBRARY_PATH includes /usr/local/cuda-11.1/lib64, or, add /usr/local/cuda-11.1/lib64 to /etc/ld.so.conf and run ldconfig as root To uninstall the CUDA Toolkit, run cuda-uninstaller in /usr/local/cuda-11.1/bin ***WARNING: Incomplete installation! This installation did not install the CUDA Driver. A driver of version at least 455.00 is required for CUDA 11.1 functionality to work. To install the driver using this installer, run the following command, replacing <CudaInstaller> with the name of this run file: sudo <CudaInstaller>.run --silent --driver

这是CUDA Toolkit安装过程中的警告信息，提示您需要将CUDA的相关路径添加到系统环境变量中，以便后续使用CUDA工具时可以正确地找到相关库和二进制文件。具体来说，您需要执行以下操作： 1. 打开终端，并输入以下...

PackagesNotFoundError: The following packages are not available from current channels: - cudatoolkit=102 Current channels: - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/win-64 - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/noarch - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/win-64 - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/noarch - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r/win-64 - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r/noarch - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2/win-64 - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2/noarch To search for alternate channels that may provide the conda package you're looking for, navigate to https://anaconda.org and use the search bar at the top of the page.

另外，如果您没有特定的原因需要使用特定版本的CUDA，建议您直接安装最新版本的PyTorch，它会自动安装与您的CUDA版本匹配的软件包。请注意，由于CSDN ChatGPT是在2021年初训练的，因此我不能保证所有特定日期之后...

ubuntu安装sra-toolkit

以下是在Ubuntu系统中安装SRA Toolkit的步骤： 1. 打开终端，输入以下命令以下载SRA Toolkit： ``` wget https://ftp-trace.ncbi.nlm.nih.gov/sra/sdk/current/sratoolkit.current-ubuntu64.tar.gz ``` 2. 解压...

cuda-keyring,cuda-toolkit-12-1-config-common,cuda-toolkit-12-config-common,cuda-toolkit-config-common,cuda-visual-tools-12-1这些包和配置文件和nsight-compute-2023.1.1，libcusolver-dev-12-1，libnvvm-samples-12-1，以及/usr/lib/pkgconfig，/usr/local,/opt有何关联，执行sudo apt-get purge cuda-keyring,cuda-toolkit-12-1-config-common,cuda-toolkit-12-config-common,cuda-toolkit-config-common,cuda-visual-tools-12-1可以把卸载时移除失败的文件和目录顺便清理了么

这些包和配置文件是与CUDA工具包相关的内容。`nsight-compute-2023.1.1`是CUDA的一个调试工具，`libcusolver-dev-12-1`是CUDA的一个线性求解器库，`libnvvm-samples-12-1`是CUDA的一个NVIDIA虚拟指令集编译器，`/usr...

ubuntu16.04 percona-toolkit安装

以下是在Ubuntu 16.04上安装Percona Toolkit的步骤： 1.从Percona官网下载最新版本的Percona Toolkit，下载地址为：https://www.percona.com/downloads/percona-toolkit/LATEST/。 2.使用wget命令下载Percona ...

Collecting package metadata (current_repodata.json): done Solving environment: failed with initial frozen solve. Retrying with flexible solve. Collecting package metadata (repodata.json): done Solving environment: failed with initial frozen solve. Retrying with flexible solve. PackagesNotFoundError: The following packages are not available from current channels: - cudnn=8.1 - cudatoolkit=11.2 Current channels: - https://repo.anaconda.com/pkgs/main/win-64 - https://repo.anaconda.com/pkgs/main/noarch - https://repo.anaconda.com/pkgs/r/win-64 - https://repo.anaconda.com/pkgs/r/noarch - https://repo.anaconda.com/pkgs/msys2/win-64 - https://repo.anaconda.com/pkgs/msys2/noarch To search for alternate channels that may provide the conda package you're looking for, navigate to https://anaconda.org and use the search bar at the top of the page.

这个错误提示是因为你的环境中需要安装的 cudnn 和 cudatoolkit 的版本在当前的 channels 中找不到。你可以通过以下方式解决： 1. 检查你的 conda 版本是否最新。可以通过 `conda update conda` 命令进行更新。 2....

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Pro/toolkit安装与内容详解：Pro/E二次开发关键工具

ProE野火4.0+vs2005 ProToolkit 二次开发测试详细教程

proe二次开发protoolkit

protoolkit二次开发

sudo apt update E: 软件源 https://nvidia.github.io/libnvidia-container/stable/ubuntu18.04/amd64/ / 的选项 Signed-By 中含有互相冲突的值：/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg !=

E: 软件源 https://nvidia.github.io/libnvidia-container/stable/ubuntu18.04/amd64/ / 的选项 Signed-By 中含有互相冲突的值：/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg !=

libgtk3-nocsd.so.0 => /usr/lib/aarch64-linux-gnu/libgtk3-nocsd.so.0 (0x0000007f9d88c000) libgtk-x11-2.0.so.0 => /usr/lib/aarch64-linux-gnu/libgtk-x11-2.0.so.0 (0x0000007f9340a000)

E: 软件源 https://nvidia.github.io/libnvidia-container/stable/ubuntu18.04/amd64/ / 的选项 Signed-By 中含有互相冲突的值：/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg != E: 无法读取源列表。

rm: 无法删除'/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg': 没有那个文件或目录

C# 做 Pro/ENGINEER二次开发

export LD_LIBRARY_PATH=/usr/local/Ascend/ascend-toolkit/latest/x86_64-linux/devlib/:$LD_LIBRARY_PATH

root@nbk:/home/hz# cd /usr/local/lib/python3.6/site-packages bash: cd: /usr/local/lib/python3.6/site-packages: 没有那个文件或目录

ubuntu安装sra-toolkit

ubuntu16.04 percona-toolkit安装

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