本地WSL部署接入 whisper + ollama qwen3:14b 总结字幕
1. 实现功能
M4-1 接入 whisper + ollama qwen3:14b 总结字幕
- 自动下载视频元数据
- 如果有字幕,只下载字幕
- 使用 ollama 的 qwen3:14b 对字幕内容进行总结
2.运行效果
source /root/anaconda3/bin/activate ytdlp
🔍 正在提取视频元数据…
📝 正在下载所有可用字幕…
[youtube] Extracting URL: https://youtu.be/AU9F-6uWCgE
[youtube] AU9F-6uWCgE: Downloading webpage
[youtube] AU9F-6uWCgE: Downloading tv client config
[youtube] AU9F-6uWCgE: Downloading tv player API JSON
[info] AU9F-6uWCgE: Downloading subtitles: zh-Hans
[info] AU9F-6uWCgE: Downloading 1 format(s): 248+251
Deleting existing file downloads/这AI会做物理题?Skywork-r1v 智商实测,结果出人意料!WebUI 体验。.zh-Hans.srt
[info] Writing video subtitles to: downloads/这AI会做物理题?Skywork-r1v 智商实测,结果出人意料!WebUI 体验。.zh-Hans.srt
WARNING: The extractor specified to use impersonation for this download, but no impersonate target is available. If you encounter errors, then see https://github.com/yt-dlp/yt-dlp#impersonation for information on installing the required dependencies
[download] Destination: downloads/这AI会做物理题?Skywork-r1v 智商实测,结果出人意料!WebUI 体验。.zh-Hans.srt
[download] 100% of 21.61KiB in 00:00:00 at 134.83KiB/s
🤖 正在用 ollama 的 qwen3:14b 总结字幕 …
=== 总结结果 ===
- 🎯 本期主要话题:介绍并演示开源多模态模型 Skywork-r1v 的部署与使用。
- 📌 内容要点:
- Skywork-r1v 是由昆仑万维开发的多模态模型,使用强化学习训练,支持图片内容理解和推理。
- 该模型可通过 GitHub 和 Huggingface 下载模型文件,并提供两种推理方式(Transforms 和 VLLM)。
- 部署过程中需要创建运行环境、安装依赖组件、下载模型文件并运行 WebUI 程序。
- 🌟 精彩片段或亮点:
- 演示了模型对图片内容的理解和推理过程,包括对图片中杯子数量和长度的计算。
- 模型在处理某些问题时出现计算错误,但整体推理能力较强,展示了其在多模态任务中的表现。
🤖 正在用 ollama 的 qwen3:14b 总结字幕 …
=== 总结结果 ===
-
🎯 本期主要话题:介绍开源多模态模型 Skywork-r1v 的功能、部署方式和实际应用效果。
-
📌 内容要点:
- Skywork-r1v 是由昆仑万维开发的多模态模型,使用强化学习训练,能够理解图片并进行推理。
- 该模型可以通过 GitHub 和 Huggingface 下载,并支持两种推理方式:Transforms 库和 VLLM。
- 部署过程中需要安装依赖组件,并手动配置 WebUI 程序以实现本地运行。
- 模型在处理图片和推理问题时表现良好,但也存在部分推理错误的情况。
- 🌟 精彩片段或亮点:
- 模型能够根据图片内容进行推理,例如分析图片中的杯子数量和长度关系。
- 在演示过程中,模型对一张折射图片的分析正确,展示了其在特定场景下的准确性和理解能力。
3.实现过程
3.1 搭建环境
3.1.1 部署WSL
PS E:\wslubuntu> wsl --install
正在下载: Ubuntu
正在安装: Ubuntu
已成功安装分发。它可通过 “wsl.exe -d Ubuntu” 启动
PS E:\wslubuntu> wsl -l
适用于 Linux 的 Windows 子系统分发:
docker-desktop (默认)
Ubuntu
3.1.2 将wsl的ubuntu从c盘迁移到e盘
PS E:\wslubuntu> wsl --shutdown
PS E:\wslubuntu> wsl --export Ubuntu e://wslubuntu//ubuntu-22.04.tar
正在导出,这可能需要几分钟时间。 (1103 MB)操作成功完成。
PS E:\wslubuntu> wsl --unregister Ubuntu
正在注销。
操作成功完成。PS E:\wslubuntu> wsl --import Ubuntu-22.04 "e:\wslubuntu" "e:\wslubuntu\ubuntu-22.04.tar" --version 2
操作成功完成。
PS E:\wslubuntu> wsl -l -vNAME STATE VERSION
* docker-desktop Stopped 2Ubuntu-22.04 Stopped 2
PS E:\wslubuntu> wslconfig /setdefault Ubuntu-22.04
操作成功完成。
3.1.3 切换默认分发
PS E:\wslubuntu> wsl -l -vNAME STATE VERSION
* docker-desktop Stopped 2Ubuntu-22.04 Stopped 2
PS E:\wslubuntu> wslconfig /setdefault Ubuntu-22.04
操作成功完成。
PS E:\wslubuntu> wsl -l -vNAME STATE VERSION
* Ubuntu-22.04 Stopped 2docker-desktop Stopped 2
PS E:\wslubuntu>
3.1.4 新建gpu3090用户和设置密码
root@DESKTOP-8IU6393:/mnt/e/wslubuntu# adduser gpu3090
info: Adding user `gpu3090' ...
info: Selecting UID/GID from range 1000 to 59999 ...
info: Adding new group `gpu3090' (1000) ...
info: Adding new user `gpu3090' (1000) with group `gpu3090 (1000)' ...
info: Creating home directory `/home/gpu3090' ...
info: Copying files from `/etc/skel' ...
New password:
Retype new password:
Sorry, passwords do not match.
passwd: Authentication token manipulation error
passwd: password unchanged
Try again? [y/N] y
New password:
Retype new password:
passwd: password updated successfully
Changing the user information for gpu3090
Enter the new value, or press ENTER for the defaultFull Name []:Room Number []:Work Phone []:Home Phone []:Other []:
Is the information correct? [Y/n]
info: Adding new user `gpu3090' to supplemental / extra groups `users' ...
info: Adding user `gpu3090' to group `users' ...
root@DESKTOP-8IU6393:/mnt/e/wslubuntu# usermod -aG sudo gpu3090
root@DESKTOP-8IU6393:/mnt/e/wslubuntu# vi /etc/wsl.conf
root@DESKTOP-8IU6393:/mnt/e/wslubuntu# su - gpu3090
To run a command as administrator (user "root"), use "sudo <command>".
See "man sudo_root" for details.Welcome to Ubuntu 24.04.2 LTS (GNU/Linux 5.15.167.4-microsoft-standard-WSL2 x86_64)* Documentation: https://help.ubuntu.com* Management: https://landscape.canonical.com* Support: https://ubuntu.com/proSystem information as of Wed Aug 6 20:32:39 CST 2025System load: 0.0 Processes: 31Usage of /: 0.1% of 1006.85GB Users logged in: 1Memory usage: 0% IPv4 address for eth0: 172.27.199.195Swap usage: 0%This message is shown once a day. To disable it please create the
/home/gpu3090/.hushlogin file.
3.1.5 root用户启动wsl
PS C:\Users\Administrator> wsl -d Ubuntu -u root
wsl: 检测到 localhost 代理配置,但未镜像到 WSL。NAT 模式下的 WSL 不支持 localhost 代理。
Welcome to Ubuntu 24.04.2 LTS (GNU/Linux 5.15.167.4-microsoft-standard-WSL2 x86_64)* Documentation: https://help.ubuntu.com* Management: https://landscape.canonical.com* Support: https://ubuntu.com/proSystem information as of Tue Aug 5 20:45:36 CST 2025System load: 0.1 Processes: 47Usage of /: 0.1% of 1006.85GB Users logged in: 0Memory usage: 0% IPv4 address for eth0: 172.27.199.195Swap usage: 0%This message is shown once a day. To disable it please create the
/root/.hushlogin file.
root@DESKTOP-8IU6393:/mnt/c/Users/Administrator#
3.1.6 安装vscode
gpu3090@DESKTOP-8IU6393:~/vscode$ sudo apt update
Get:1 http://security.ubuntu.com/ubuntu noble-security InRelease [126 kB]
Get:2 http://security.ubuntu.com/ubuntu noble-security/main amd64 Components [21.6 kB]
Get:3 http://security.ubuntu.com/ubuntu noble-security/universe amd64 Components [52.3 kB]
Get:4 http://security.ubuntu.com/ubuntu noble-security/restricted amd64 Components [212 B]
Get:5 http://security.ubuntu.com/ubuntu noble-security/multiverse amd64 Components [212 B]
Hit:6 http://archive.ubuntu.com/ubuntu noble InRelease
Hit:7 http://archive.ubuntu.com/ubuntu noble-updates InRelease
Hit:8 http://archive.ubuntu.com/ubuntu noble-backports InRelease
Fetched 200 kB in 7s (28.8 kB/s)
Reading package lists... Done
Building dependency tree... Done
Reading state information... Done
157 packages can be upgraded. Run 'apt list --upgradable' to see them.
gpu3090@DESKTOP-8IU6393:~/vscode$ sudo apt install software-properties-common apt-transport-https wget
Reading package lists... Done
Building dependency tree... Done
Reading state information... Done
wget is already the newest version (1.21.4-1ubuntu4.1).
The following additional packages will be installed:apt apt-utils libapt-pkg6.0t64 python3-software-properties
Suggested packages:apt-doc aptitude | synaptic | wajig dpkg-dev powermgmt-base
The following NEW packages will be installed:apt-transport-https
The following packages will be upgraded:apt apt-utils libapt-pkg6.0t64 python3-software-properties software-properties-common
5 upgraded, 1 newly installed, 0 to remove and 152 not upgraded.
Need to get 2624 kB of archives.
After this operation, 48.1 kB of additional disk space will be used.
Do you want to continue? [Y/n]
Get:1 http://archive.ubuntu.com/ubuntu noble-updates/main amd64 libapt-pkg6.0t64 amd64 2.8.3 [985 kB]
Get:2 http://archive.ubuntu.com/ubuntu noble-updates/main amd64 apt amd64 2.8.3 [1376 kB]
Get:3 http://archive.ubuntu.com/ubuntu noble-updates/main amd64 apt-utils amd64 2.8.3 [216 kB]
Get:4 http://archive.ubuntu.com/ubuntu noble-updates/universe amd64 apt-transport-https all 2.8.3 [3970 B]
Get:5 http://archive.ubuntu.com/ubuntu noble-updates/main amd64 software-properties-common all 0.99.49.2 [14.4 kB]
Get:6 http://archive.ubuntu.com/ubuntu noble-updates/main amd64 python3-software-properties all 0.99.49.2 [29.8 kB]
Fetched 2624 kB in 4s (668 kB/s)
(Reading database ... 40768 files and directories currently installed.)
Preparing to unpack .../libapt-pkg6.0t64_2.8.3_amd64.deb ...
Unpacking libapt-pkg6.0t64:amd64 (2.8.3) over (2.7.14build2) ...
Setting up libapt-pkg6.0t64:amd64 (2.8.3) ...
(Reading database ... 40768 files and directories currently installed.)
Preparing to unpack .../archives/apt_2.8.3_amd64.deb ...
Unpacking apt (2.8.3) over (2.7.14build2) ...
Setting up apt (2.8.3) ...
(Reading database ... 40768 files and directories currently installed.)
Preparing to unpack .../apt-utils_2.8.3_amd64.deb ...
Unpacking apt-utils (2.8.3) over (2.7.14build2) ...
Selecting previously unselected package apt-transport-https.
Preparing to unpack .../apt-transport-https_2.8.3_all.deb ...
Unpacking apt-transport-https (2.8.3) ...
Preparing to unpack .../software-properties-common_0.99.49.2_all.deb ...
Unpacking software-properties-common (0.99.49.2) over (0.99.49.1) ...
Preparing to unpack .../python3-software-properties_0.99.49.2_all.deb ...
Unpacking python3-software-properties (0.99.49.2) over (0.99.49.1) ...
Setting up apt-utils (2.8.3) ...
Setting up apt-transport-https (2.8.3) ...
Setting up python3-software-properties (0.99.49.2) ...
Setting up software-properties-common (0.99.49.2) ...
Processing triggers for libc-bin (2.39-0ubuntu8.4) ...
Processing triggers for man-db (2.12.0-4build2) ...
Processing triggers for dbus (1.14.10-4ubuntu4.1) ...
gpu3090@DESKTOP-8IU6393:~/vscode$ wget -qO- https://packages.microsoft.com/keys/microsoft.asc | gpg --dearmor > microsoft.gpgsudo install -o root -g root -m 644 microsoft.gpg /usr/share/keyrings/microsoft.gpg
gpu3090@DESKTOP-8IU6393:~/vscode$ wget -qO- https://packages.microsoft.com/keys/microsoft.asc | gpg --dearmor > microsoft.gpgsudo install -o root -g root -m 644 microsoft.gpg /usr/share/keyrings/microsoft.gpg
gpu3090@DESKTOP-8IU6393:~/vscode$ echo "deb [arch=amd64,arm64,armhf signed-by=/usr/share/keyrings/microsoft.gpg] https://packages.microsoft.com/repos/code stable main" | sudo tee /etc/apt/sources.list.d/vscode.list
deb [arch=amd64,arm64,armhf signed-by=/usr/share/keyrings/microsoft.gpg] https://packages.microsoft.com/repos/code stable main
gpu3090@DESKTOP-8IU6393:~/vscode$ sudo apt update
Get:1 https://packages.microsoft.com/repos/code stable InRelease [3590 B]
Get:2 https://packages.microsoft.com/repos/code stable/main armhf Packages [19.8 kB]
Get:3 https://packages.microsoft.com/repos/code stable/main arm64 Packages [19.7 kB]
Get:4 https://packages.microsoft.com/repos/code stable/main amd64 Packages [19.6 kB]
Hit:5 http://archive.ubuntu.com/ubuntu noble InRelease
Hit:6 http://security.ubuntu.com/ubuntu noble-security InRelease
Hit:7 http://archive.ubuntu.com/ubuntu noble-updates InRelease
Hit:8 http://archive.ubuntu.com/ubuntu noble-backports InRelease
Fetched 62.6 kB in 1s (45.8 kB/s)
Reading package lists... Done
Building dependency tree... Done
Reading state information... Done
152 packages can be upgraded. Run 'apt list --upgradable' to see them.
gpu3090@DESKTOP-8IU6393:~/vscode$ sudo apt install code
Reading package lists... Done
Building dependency tree... Done
Reading state information... Done
The following additional packages will be installed:alsa-topology-conf alsa-ucm-conf cpp cpp-13 cpp-13-x86-64-linux-gnu cpp-x86-64-linux-gnu gcc-13-base libasound2-datalibasound2t64 libauthen-sasl-perl libclone-perl libdata-dump-perl libencode-locale-perl libfile-basedir-perllibfile-desktopentry-perl libfile-listing-perl libfile-mimeinfo-perl libfont-afm-perl libgles2 libhtml-form-perllibhtml-format-perl libhtml-parser-perl libhtml-tagset-perl libhtml-tree-perl libhttp-cookies-perllibhttp-daemon-perl libhttp-date-perl libhttp-message-perl libhttp-negotiate-perl libice6 libio-html-perllibio-socket-ssl-perl libio-stringy-perl libipc-system-simple-perl libisl23 liblwp-mediatypes-perlliblwp-protocol-https-perl libmailtools-perl libmpc3 libnet-dbus-perl libnet-http-perl libnet-smtp-ssl-perllibnet-ssleay-perl libnspr4 libnss3 libsm6 libtie-ixhash-perl libtimedate-perl libtry-tiny-perl liburi-perllibwww-perl libwww-robotrules-perl libx11-protocol-perl libxaw7 libxcb-shape0 libxft2 libxkbfile1 libxml-parser-perllibxml-twig-perl libxml-xpathengine-perl libxmu6 libxpm4 libxt6t64 libxv1 libxxf86dga1 perl-openssl-defaultsx11-utils x11-xserver-utils xdg-utils zutty
Suggested packages:cpp-doc gcc-13-locales cpp-13-doc alsa-utils libasound2-plugins libdigest-hmac-perl libgssapi-perllibio-compress-brotli-perl libcrypt-ssleay-perl libsub-name-perl libbusiness-isbn-perl libregexp-ipv6-perllibauthen-ntlm-perl libunicode-map8-perl libunicode-string-perl xml-twig-tools debhelper mesa-utils nickle cairo-5cxorg-docs-core
Recommended packages:luit
The following NEW packages will be installed:alsa-topology-conf alsa-ucm-conf code cpp cpp-13 cpp-13-x86-64-linux-gnu cpp-x86-64-linux-gnu gcc-13-baselibasound2-data libasound2t64 libauthen-sasl-perl libclone-perl libdata-dump-perl libencode-locale-perllibfile-basedir-perl libfile-desktopentry-perl libfile-listing-perl libfile-mimeinfo-perl libfont-afm-perl libgles2libhtml-form-perl libhtml-format-perl libhtml-parser-perl libhtml-tagset-perl libhtml-tree-perl libhttp-cookies-perllibhttp-daemon-perl libhttp-date-perl libhttp-message-perl libhttp-negotiate-perl libice6 libio-html-perllibio-socket-ssl-perl libio-stringy-perl libipc-system-simple-perl libisl23 liblwp-mediatypes-perlliblwp-protocol-https-perl libmailtools-perl libmpc3 libnet-dbus-perl libnet-http-perl libnet-smtp-ssl-perllibnet-ssleay-perl libnspr4 libnss3 libsm6 libtie-ixhash-perl libtimedate-perl libtry-tiny-perl liburi-perllibwww-perl libwww-robotrules-perl libx11-protocol-perl libxaw7 libxcb-shape0 libxft2 libxkbfile1 libxml-parser-perllibxml-twig-perl libxml-xpathengine-perl libxmu6 libxpm4 libxt6t64 libxv1 libxxf86dga1 perl-openssl-defaultsx11-utils x11-xserver-utils xdg-utils zutty
0 upgraded, 71 newly installed, 0 to remove and 152 not upgraded.
Need to get 126 MB of archives.
After this operation, 491 MB of additional disk space will be used.
Do you want to continue? [Y/n]
Get:1 https://packages.microsoft.com/repos/code stable/main amd64 code amd64 1.102.3-1753759567 [109 MB]
Get:2 http://archive.ubuntu.com/ubuntu noble/main amd64 alsa-topology-conf all 1.2.5.1-2 [15.5 kB]
Get:3 http://archive.ubuntu.com/ubuntu noble-updates/main amd64 libasound2-data all 1.2.11-1ubuntu0.1 [21.1 kB]
Get:4 http://archive.ubuntu.com/ubuntu noble-updates/main amd64 libasound2t64 amd64 1.2.11-1ubuntu0.1 [399 kB]
Get:5 http://archive.ubuntu.com/ubuntu noble-updates/main amd64 alsa-ucm-conf all 1.2.10-1ubuntu5.7 [66.4 kB]
Get:6 http://archive.ubuntu.com/ubuntu noble/main amd64 libnspr4 amd64 2:4.35-1.1build1 [117 kB]
Get:7 http://archive.ubuntu.com/ubuntu noble/main amd64 libnss3 amd64 2:3.98-1build1 [1445 kB]
Get:8 http://archive.ubuntu.com/ubuntu noble/main amd64 libxkbfile1 amd64 1:1.1.0-1build4 [70.0 kB]
Get:9 http://archive.ubuntu.com/ubuntu noble/main amd64 xdg-utils all 1.1.3-4.1ubuntu3 [62.0 kB]
Get:10 http://archive.ubuntu.com/ubuntu noble-updates/main amd64 gcc-13-base amd64 13.3.0-6ubuntu2~24.04 [51.5 kB]
Get:11 http://archive.ubuntu.com/ubuntu noble-updates/main amd64 libisl23 amd64 0.26-3build1.1 [680 kB]
Get:12 http://archive.ubuntu.com/ubuntu noble-updates/main amd64 libmpc3 amd64 1.3.1-1build1.1 [54.6 kB]
Get:13 http://archive.ubuntu.com/ubuntu noble-updates/main amd64 cpp-13-x86-64-linux-gnu amd64 13.3.0-6ubuntu2~24.04 [10.7 MB]
Get:14 http://archive.ubuntu.com/ubuntu noble-updates/main amd64 cpp-13 amd64 13.3.0-6ubuntu2~24.04 [1038 B]
Get:15 http://archive.ubuntu.com/ubuntu noble/main amd64 cpp-x86-64-linux-gnu amd64 4:13.2.0-7ubuntu1 [5326 B]
Get:16 http://archive.ubuntu.com/ubuntu noble/main amd64 cpp amd64 4:13.2.0-7ubuntu1 [22.4 kB]
Get:17 http://archive.ubuntu.com/ubuntu noble/main amd64 libclone-perl amd64 0.46-1build3 [10.7 kB]
Get:18 http://archive.ubuntu.com/ubuntu noble/main amd64 libdata-dump-perl all 1.25-1 [25.9 kB]
Get:19 http://archive.ubuntu.com/ubuntu noble/main amd64 libencode-locale-perl all 1.05-3 [11.6 kB]
Get:20 http://archive.ubuntu.com/ubuntu noble/main amd64 libipc-system-simple-perl all 1.30-2 [22.3 kB]
Get:21 http://archive.ubuntu.com/ubuntu noble/main amd64 libfile-basedir-perl all 0.09-2 [14.4 kB]
Get:22 http://archive.ubuntu.com/ubuntu noble/main amd64 liburi-perl all 5.27-1 [88.0 kB]
Get:23 http://archive.ubuntu.com/ubuntu noble/main amd64 libfile-desktopentry-perl all 0.22-3 [16.8 kB]
Get:24 http://archive.ubuntu.com/ubuntu noble/main amd64 libtimedate-perl all 2.3300-2 [34.0 kB]
Get:25 http://archive.ubuntu.com/ubuntu noble/main amd64 libhttp-date-perl all 6.06-1 [10.2 kB]
Get:26 http://archive.ubuntu.com/ubuntu noble/main amd64 libfile-listing-perl all 6.16-1 [11.3 kB]
Get:27 http://archive.ubuntu.com/ubuntu noble/main amd64 libfile-mimeinfo-perl all 0.34-1 [42.1 kB]
Get:28 http://archive.ubuntu.com/ubuntu noble/main amd64 libfont-afm-perl all 1.20-4 [13.0 kB]
Get:29 http://archive.ubuntu.com/ubuntu noble/main amd64 libhtml-tagset-perl all 3.20-6 [11.3 kB]
Get:30 http://archive.ubuntu.com/ubuntu noble/main amd64 libhtml-parser-perl amd64 3.81-1build3 [85.8 kB]
Get:31 http://archive.ubuntu.com/ubuntu noble/main amd64 libio-html-perl all 1.004-3 [15.9 kB]
Get:32 http://archive.ubuntu.com/ubuntu noble/main amd64 liblwp-mediatypes-perl all 6.04-2 [20.1 kB]
Get:33 http://archive.ubuntu.com/ubuntu noble/main amd64 libhttp-message-perl all 6.45-1ubuntu1 [78.2 kB]
Get:34 http://archive.ubuntu.com/ubuntu noble/main amd64 libhtml-form-perl all 6.11-1 [32.1 kB]
Get:35 http://archive.ubuntu.com/ubuntu noble/main amd64 libhtml-tree-perl all 5.07-3 [200 kB]
Get:36 http://archive.ubuntu.com/ubuntu noble/main amd64 libhtml-format-perl all 2.16-2 [36.9 kB]
Get:37 http://archive.ubuntu.com/ubuntu noble/main amd64 libhttp-cookies-perl all 6.11-1 [18.2 kB]
Get:38 http://archive.ubuntu.com/ubuntu noble/main amd64 libhttp-daemon-perl all 6.16-1 [22.4 kB]
Get:39 http://archive.ubuntu.com/ubuntu noble/main amd64 libhttp-negotiate-perl all 6.01-2 [12.4 kB]
Get:40 http://archive.ubuntu.com/ubuntu noble/main amd64 libice6 amd64 2:1.0.10-1build3 [41.4 kB]
Get:41 http://archive.ubuntu.com/ubuntu noble/main amd64 perl-openssl-defaults amd64 7build3 [6626 B]
Get:42 http://archive.ubuntu.com/ubuntu noble/main amd64 libnet-ssleay-perl amd64 1.94-1build4 [316 kB]
Get:43 http://archive.ubuntu.com/ubuntu noble/main amd64 libio-socket-ssl-perl all 2.085-1 [195 kB]
Get:44 http://archive.ubuntu.com/ubuntu noble/main amd64 libio-stringy-perl all 2.111-3 [55.8 kB]
Get:45 http://archive.ubuntu.com/ubuntu noble/main amd64 libnet-http-perl all 6.23-1 [22.3 kB]
Get:46 http://archive.ubuntu.com/ubuntu noble/main amd64 libtry-tiny-perl all 0.31-2 [20.8 kB]
Get:47 http://archive.ubuntu.com/ubuntu noble/main amd64 libwww-robotrules-perl all 6.02-1 [12.6 kB]
Get:48 http://archive.ubuntu.com/ubuntu noble/main amd64 libwww-perl all 6.76-1 [138 kB]
Get:49 http://archive.ubuntu.com/ubuntu noble/main amd64 liblwp-protocol-https-perl all 6.13-1 [9006 B]
Get:50 http://archive.ubuntu.com/ubuntu noble/main amd64 libnet-smtp-ssl-perl all 1.04-2 [6218 B]
Get:51 http://archive.ubuntu.com/ubuntu noble/main amd64 libmailtools-perl all 2.21-2 [80.4 kB]
Get:52 http://archive.ubuntu.com/ubuntu noble/main amd64 libxml-parser-perl amd64 2.47-1build3 [204 kB]
Get:53 http://archive.ubuntu.com/ubuntu noble/main amd64 libxml-twig-perl all 1:3.52-2 [158 kB]
Get:54 http://archive.ubuntu.com/ubuntu noble/main amd64 libnet-dbus-perl amd64 1.2.0-2build3 [165 kB]
Get:55 http://archive.ubuntu.com/ubuntu noble/main amd64 libsm6 amd64 2:1.2.3-1build3 [15.7 kB]
Get:56 http://archive.ubuntu.com/ubuntu noble/main amd64 libtie-ixhash-perl all 1.23-4 [11.3 kB]
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gpu3090@DESKTOP-8IU6393:~/vscode$ code.
code.: command not found
gpu3090@DESKTOP-8IU6393:~/vscode$ code .
To use Visual Studio Code with the Windows Subsystem for Linux, please install Visual Studio Code in Windows and uninstall the Linux version in WSL. You can then use the `code` command in a WSL terminal just as you would in a normal command prompt.
Do you want to continue anyway? [y/N] y
To no longer see this prompt, start Visual Studio Code with the environment variable DONT_PROMPT_WSL_INSTALL defined.
gpu3090@DESKTOP-8IU6393:~/vscode$ code .
To use Visual Studio Code with the Windows Subsystem for Linux, please install Visual Studio Code in Windows and uninstall the Linux version in WSL. You can then use the `code` command in a WSL terminal just as you would in a normal command prompt.
Do you want to continue anyway? [y/N]
3.1.7 安装anaconda
gpu3090@DESKTOP-8IU6393:~/vscode$ # 下载 Anaconda3-2025.06-0 至 /tmp 目录
wget -P /tmp https://repo.anaconda.com/archive/Anaconda3-2025.06-0-Linux-x86_64.sh
--2025-08-06 21:06:27-- https://repo.anaconda.com/archive/Anaconda3-2025.06-0-Linux-x86_64.sh
Resolving repo.anaconda.com (repo.anaconda.com)... 104.16.32.241, 104.16.191.158, 2606:4700::6810:bf9e, ...
Connecting to repo.anaconda.com (repo.anaconda.com)|104.16.32.241|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 1111344533 (1.0G) [application/octet-stream]
Saving to: ‘/tmp/Anaconda3-2025.06-0-Linux-x86_64.sh’Anaconda3-2025.06-0-Linux-x86 100%[=================================================>] 1.03G 5.23MB/s in 3m 22s2025-08-06 21:09:50 (5.24 MB/s) - ‘/tmp/Anaconda3-2025.06-0-Linux-x86_64.sh’ saved [1111344533/1111344533]
root@DESKTOP-8IU6393:/mnt/e/wslubuntu# # 运行安装脚本
bash /tmp/Anaconda3-2025.06-0-Linux-x86_64.shWelcome to Anaconda3 2025.06-0In order to continue the installation process, please review the license
agreement.
Please, press ENTER to continue
>>>
By continuing installation, you hereby consent to the Anaconda Terms of Service available at https://anaconda.com/legal.Do you accept the license terms? [yes|no]
>>> yesAnaconda3 will now be installed into this location:
/root/anaconda3- Press ENTER to confirm the location- Press CTRL-C to abort the installation- Or specify a different location below[/root/anaconda3] >>>
PREFIX=/root/anaconda3
Unpacking payload ...
entry_point.py:256: DeprecationWarning: Python 3.14 will, by default, filter extracted tar archives and reject files or modify their metadata. Use the filter argument to control this behavior.
entry_point.py:256: DeprecationWarning: Python 3.14 will, by default, filter extracted tar archives and reject files or modify their metadata. Use the filter argument to control this behavior.Installing base environment...Downloading and Extracting Packages:## Package Plan ##environment location: /root/anaconda3added / updated specs:- defaults/linux-64::_anaconda_depends==2025.06=py313_mkl_2[md5=8dd0a428197e12329e80d54846c1ad1b]- defaults/linux-64::_libgcc_mutex==0.1=main[md5=c3473ff8bdb3d124ed5ff11ec380d6f9]- defaults/linux-64::_openmp_mutex==5.1=1_gnu[md5=71d281e9c2192cb3fa425655a8defb85]- defaults/linux-64::aiobotocore==2.19.0=py313h06a4308_0[md5=0cc82648752431f8b190c7bb8564df55]- defaults/linux-64::aiohappyeyeballs==2.4.4=py313h06a4308_0[md5=1fcb267395b9d1fb0117c00627c20566]- defaults/linux-64::aiohttp==3.11.10=py313h5eee18b_0[md5=73016eaa602289d25215b1f6176847a4]- defaults/linux-64::alabaster==0.7.16=py313h06a4308_0[md5=062c2102b0659b689530631ad81d42bd]- defaults/linux-64::altair==5.5.0=py313h06a4308_0[md5=ed1fbfa77c84ae04a96349ca83993e6a]- defaults/linux-64::anaconda-anon-usage==0.7.1=py313hfc0e8ea_100[md5=8051dd5034cbe000becc368ae14cc5ef]- defaults/linux-64::anaconda-auth==0.8.6=py313h06a4308_0[md5=1b575dad8e7084c59cfd8f8c4a2bd421]- defaults/linux-64::anaconda-catalogs==0.2.0=py313h06a4308_2[md5=bd4a343712eea5eddfaef9d947ed8029]- defaults/linux-64::anaconda-cli-base==0.5.2=py313h06a4308_0[md5=d629fb0a0282b3adcf8f53ab82b63ad4]- defaults/linux-64::anaconda-client==1.13.0=py313h06a4308_1[md5=a4e9c6bda063dd9dc6a04db56285eead]- defaults/linux-64::anaconda-navigator==2.6.6=py313h06a4308_2[md5=ef02fbf302aa412bfe0aa6e2f395fdb6]- defaults/linux-64::anaconda-project==0.11.1=py313h06a4308_1[md5=c3f0b73e25a1010ab6b30ac318461c85]- defaults/linux-64::annotated-types==0.6.0=py313h06a4308_0[md5=4dc276db59e14eaf187426b0040eb209]- defaults/linux-64::anyio==4.7.0=py313h06a4308_0[md5=bfab08fd86df880c1d42300011ee87d6]- defaults/linux-64::argon2-cffi-bindings==21.2.0=py313h5eee18b_1[md5=a898c2a8db815938e79fed5153774942]- defaults/linux-64::arrow-cpp==19.0.0=h865e1df_2[md5=ad4ee3d357f52f4740d778dc6df226a5]- defaults/linux-64::arrow==1.3.0=py313h06a4308_0[md5=e8bbcd710e3a454ed8b5437a9171cc75]- defaults/linux-64::astroid==3.3.8=py313h06a4308_0[md5=cc894ce0729f267a821b375f565ceebe]- defaults/linux-64::astropy-iers-data==0.2025.1.13.0.34.51=py313h06a4308_0[md5=1b8a672c07f598059dddcd8dc84cb39c]- defaults/linux-64::astropy==7.0.0=py313h5eee18b_0[md5=ff8c6fea9b0fc47932eda12ac9563cbf]- defaults/linux-64::asttokens==3.0.0=py313h06a4308_0[md5=63c0d0f00abc83c905f9e2991def9c6a]- defaults/linux-64::async-lru==2.0.4=py313h06a4308_0[md5=ed5b0c04ec295c127b5f7306a198da38]- defaults/linux-64::asyncssh==2.17.0=py313h06a4308_0[md5=0958e60ea883678d201a5c4ca7a2dfc2]- defaults/linux-64::attrs==24.3.0=py313h06a4308_0[md5=e3e25dd7c6931dfa1596ae57f917f4f6]- defaults/linux-64::automat==24.8.1=py313h06a4308_0[md5=d3e82678501a8acfb5bb9f8d00b4ef88]- defaults/linux-64::aws-c-auth==0.6.19=h5eee18b_0[md5=e558e799fcfdfa2c44325bcde949932d]- defaults/linux-64::aws-c-cal==0.5.20=hdbd6064_0[md5=cbcad5001ff28fff2b49f91c51ffc0b7]- defaults/linux-64::aws-c-common==0.8.5=h5eee18b_0[md5=8e31ed151251a4d5b1d77b4bc2c65cd6]- defaults/linux-64::aws-c-compression==0.2.16=h5eee18b_0[md5=d8a70cf9a9fd4f59dd9736fe4f279a7c]- defaults/linux-64::aws-c-event-stream==0.2.15=h6a678d5_0[md5=8caf0b9770f50dec5cf68ad4abb1e6b9]- defaults/linux-64::aws-c-http==0.6.25=h5eee18b_0[md5=57decdb6d2bc3b8c8f34895859b5ffd4]- defaults/linux-64::aws-c-io==0.13.10=h5eee18b_0[md5=36783443ab146fc7dc741d881d77a735]- defaults/linux-64::aws-c-mqtt==0.7.13=h5eee18b_0[md5=98e29a670bd12028f2a7878a96622f13]- defaults/linux-64::aws-c-s3==0.1.51=hdbd6064_0[md5=e469699e8963dab2300d1e120f17a9fb]- defaults/linux-64::aws-c-sdkutils==0.1.6=h5eee18b_0[md5=552feafbf27138bcc06580e515ee50e4]- defaults/linux-64::aws-checksums==0.1.13=h5eee18b_0[md5=45ce250b72f32dd596edfb08642d3e9a]- defaults/linux-64::aws-crt-cpp==0.18.16=h6a678d5_0[md5=75eee556aaa512255d61e9b2e8b28464]- defaults/linux-64::aws-sdk-cpp==1.11.212=hecad206_0[md5=e2946fe0778d6067a52565f2444eb4b9]- defaults/linux-64::babel==2.16.0=py313h06a4308_0[md5=a7e7406d6d43ccc0785d6eebb534f7c1]- defaults/linux-64::bcrypt==4.3.0=py313h4aa5aa6_0[md5=7e9ff923c45b039dcf4e0b9170dd98ef]- defaults/linux-64::beautifulsoup4==4.12.3=py313h06a4308_0[md5=07417236c383c20701e6e7ef9a1b3586]- defaults/linux-64::black==24.10.0=py313h06a4308_0[md5=fdadb396c849104f132c01ab8c3f59ed]- defaults/linux-64::blas==1.0=mkl[md5=9a7a051e9bd41da46523acb017d8a517]- defaults/linux-64::bleach==6.2.0=py313h06a4308_0[md5=f8310b7c224d6f94c3bd2a7a55eb3a41]- defaults/linux-64::blinker==1.9.0=py313h06a4308_0[md5=44e529baedf86e754183e5346d5fb496]- defaults/linux-64::blosc==1.21.3=h6a678d5_0[md5=4a82e776d992a517ada3bdcede331ae8]- defaults/linux-64::bokeh==3.6.2=py313h06a4308_0[md5=008ae86fdf812762aec8333383cbd798]- defaults/linux-64::boltons==24.1.0=py313h06a4308_0[md5=fc8dcc37f16fbed6bae9d6950df53fe1]- defaults/linux-64::boost-cpp==1.82.0=hdb19cb5_2[md5=126e68decc2907288d2787529a945570]- defaults/linux-64::botocore==1.36.3=py313h06a4308_0[md5=ecf62ad2c682110bde6edcfc0eb4b45d]- defaults/linux-64::bottleneck==1.4.2=py313hf0014fa_0[md5=7cdeca9f4581e0bbe73ab20b0176fb4c]- defaults/linux-64::brotli-python==1.0.9=py313h6a678d5_9[md5=48f87f78b5774d723589e95ed14daafe]- defaults/linux-64::bzip2==1.0.8=h5eee18b_6[md5=f21a3ff51c1b271977f53ce956a69297]- defaults/linux-64::c-ares==1.19.1=h5eee18b_0[md5=6cfbce52273a1cb888821f18ceaa83c4]- defaults/linux-64::c-blosc2==2.17.1=h4257ac4_0[md5=ea3b7bc83d3d6dd5a8ec919f7fe74d63]- defaults/linux-64::ca-certificates==2025.2.25=h06a4308_0[md5=495015d24da8ad929e3ae2d18571016d]- defaults/linux-64::cachetools==5.5.1=py313h06a4308_0[md5=e45f7bd45ed64c4190b8b20ea1d5bef1]- defaults/linux-64::certifi==2025.4.26=py313h06a4308_0[md5=d99fbc94185f7af92889b3647b2aae93]- defaults/linux-64::cffi==1.17.1=py313h1fdaa30_1[md5=c5d4f727e7bccd4bd8d599e049853383]- defaults/linux-64::chardet==4.0.0=py313h06a4308_1003[md5=303436d939b022b4283f1e0ba0b98b69]- defaults/linux-64::click==8.1.8=py313h06a4308_0[md5=6c4f7964369211f010c80effdc01eb95]- defaults/linux-64::cloudpickle==3.0.0=py313h06a4308_0[md5=7491b4ed8888c23f09d56c302914a69d]- defaults/linux-64::colorama==0.4.6=py313h06a4308_0[md5=9c0c672e71bd0523bdaa9376ea056ebd]- defaults/linux-64::colorcet==3.1.0=py313h06a4308_0[md5=a6a953351da590fcacfb99a0ae89d6e3]- defaults/linux-64::comm==0.2.1=py313h06a4308_0[md5=c517dd2feb114ab437e4c17405df07f5]- defaults/linux-64::conda-anaconda-telemetry==0.1.2=py313h06a4308_1[md5=2d1b1b3f339fb81ee8a55b778da10a25]- defaults/linux-64::conda-anaconda-tos==0.2.0=py313h06a4308_0[md5=27c954b72f842d68c4df320d8f65213c]- defaults/linux-64::conda-build==25.5.0=py313h76456e7_0[md5=a6a91e8b80e6dea9eceb138495bba149]- defaults/linux-64::conda-content-trust==0.2.0=py313h06a4308_1[md5=aefc551e21e13ecc1de44ee589aea77d]- defaults/linux-64::conda-index==0.6.1=py313h06a4308_0[md5=b4f9800d0fe8941ba360e5130145b05b]- defaults/linux-64::conda-pack==0.7.1=py313h06a4308_0[md5=af26cfb2b88530ee2780665151d9dab5]- defaults/linux-64::conda-package-handling==2.4.0=py313h06a4308_0[md5=76b17c263bc01eaffebcb8ba7ccd6ca9]- defaults/linux-64::conda-package-streaming==0.11.0=py313h06a4308_0[md5=b717717a2265676cc8c9c933c86ec7e1]- defaults/linux-64::conda-repo-cli==1.0.165=py313h06a4308_0[md5=6f21a00eb32c0a6495aa416c0ba15b65]- defaults/linux-64::conda==25.5.1=py313h06a4308_0[md5=0d4373f00a49a65830e2ea995b654e98]- defaults/linux-64::constantly==23.10.4=py313h06a4308_0[md5=ec1c8d0a360526f782eb7ad5b3c38c00]- defaults/linux-64::contourpy==1.3.1=py313hdb19cb5_0[md5=8adcfeb7165c176cb19c4ae79c124127]- defaults/linux-64::cpp-expected==1.1.0=hdb19cb5_0[md5=3a195bcf47b691adb4a635a8b7f396f7]- defaults/linux-64::cryptography==44.0.1=py313h7825ff9_0[md5=64bfbc84d532a460db6871fa117e75b3]- defaults/linux-64::cssselect==1.2.0=py313h06a4308_0[md5=06e21e00cbb44e54b509c0aa738f863b]- defaults/linux-64::curl==8.12.1=h251f7ec_0[md5=ec8d55b10c781114257cea6ff3a0331d]- defaults/linux-64::cyrus-sasl==2.1.28=h52b45da_1[md5=d634af1577e4008f9228ae96ce671c44]- defaults/linux-64::cytoolz==1.0.1=py313h5eee18b_0[md5=c0bea94da149eacb78a565ac6d4d0f30]- defaults/linux-64::dask-core==2025.2.0=py313h06a4308_0[md5=7553b342de75c2bab76b243d4b962215]- defaults/linux-64::dask-expr==2.0.0=py313h06a4308_0[md5=df284a85248f32d916d47af09a7cace9]- defaults/linux-64::dask==2025.2.0=py313h06a4308_0[md5=0d0c5bceb9c90d92d3ea01e85de6fb23]- defaults/linux-64::datashader==0.18.0=py313h06a4308_0[md5=2e7ecd9504ff7b1e348d3c46b9df0414]- defaults/linux-64::dbus==1.13.18=hb2f20db_0[md5=6a6a6f1391f807847404344489ef6cf4]- defaults/linux-64::debugpy==1.8.11=py313h6a678d5_0[md5=c2e605889fc658feb7720130c1a41c70]- defaults/linux-64::deprecated==1.2.13=py313h06a4308_0[md5=a7881262b5b927df0feee882f767e2ec]- defaults/linux-64::dill==0.3.8=py313h06a4308_0[md5=41339e79556f6bbf90b883bb645c2e42]- defaults/linux-64::distributed==2025.2.0=py313h06a4308_0[md5=d52fbff63b74cf8bcafc94673ab441a7]- defaults/linux-64::distro==1.9.0=py313h06a4308_0[md5=1fd7ab065e9958e7bbd4d3fbf175742b]- defaults/linux-64::docstring-to-markdown==0.11=py313h06a4308_0[md5=16e7aa077991bd4effb820533a89562e]- defaults/linux-64::docutils==0.21.2=py313h06a4308_0[md5=c3de97bc676f539cea4d252d27e2f377]- defaults/linux-64::et_xmlfile==1.1.0=py313h06a4308_1[md5=29133cc589efbcd8e67e9bdf4604218f]- defaults/linux-64::evalidate==2.0.3=py313h06a4308_0[md5=bd2b09b9a2c567f6c370746206b23b84]- defaults/linux-64::expat==2.7.1=h6a678d5_0[md5=269942a9f3f943e2e5d8a2516a861f7c]- defaults/linux-64::filelock==3.17.0=py313h06a4308_0[md5=70e98b9dd8fbae7c076b7a9e8e501315]- defaults/linux-64::flake8==7.1.1=py313h06a4308_0[md5=1b3d7fafddfecdcf8ddfb77b80d654ae]- defaults/linux-64::flask==3.1.0=py313h06a4308_0[md5=9b3a1b884411bf03c74d491c8125fef2]- defaults/linux-64::fmt==9.1.0=hdb19cb5_1[md5=4f12930203ff2d84df5d287af9b29858]- defaults/linux-64::fontconfig==2.14.1=h55d465d_3[md5=3c63ea2bfc6d5ff6ac4173817f550d75]- defaults/linux-64::fonttools==4.55.3=py313h5eee18b_0[md5=9be9c3d3c273e20909337a0f644c3ebd]- defaults/linux-64::freetype==2.13.3=h4a9f257_0[md5=47113ca1b80dae5fcf0715571267fdef]- defaults/linux-64::frozendict==2.4.2=py313h06a4308_0[md5=31f7036f9bdd3592e660ecfc631f054f]- defaults/linux-64::frozenlist==1.5.0=py313h5eee18b_0[md5=7deb0f1f01efdb13f9e5074c891e5dd9]- defaults/linux-64::fsspec==2025.3.2=py313h7040dfc_0[md5=5f1242fb3fe87e132c384b7d2ed05a60]- defaults/linux-64::gflags==2.2.2=h6a678d5_1[md5=934362bfb503ed169413b0a209959fe7]- defaults/linux-64::gitpython==3.1.43=py313h06a4308_0[md5=320077d35b0cbec398c892dfef3c41e5]- defaults/linux-64::glib-tools==2.78.4=h6a678d5_0[md5=3dbe6227cd59818dca9afb75ccb70708]- defaults/linux-64::glib==2.78.4=h6a678d5_0[md5=045ff487547f7b2b7ff01648681b8ebe]- defaults/linux-64::glog==0.5.0=h6a678d5_1[md5=4cc83b6e8045c98f80bb74eb5a331e5b]- defaults/linux-64::gmp==6.3.0=h6a678d5_0[md5=90977af48eb673fed9ac42bf2e49c9aa]- defaults/linux-64::gmpy2==2.2.1=py313h5eee18b_0[md5=cd3ccb345886a7251a04c030d5ccbdf6]- defaults/linux-64::greenlet==3.1.1=py313h6a678d5_0[md5=95f101aefc221a3c78b6bd69c1289b7a]- defaults/linux-64::gst-plugins-base==1.14.1=h6a678d5_1[md5=afd9cbe949d670d24cc0a007aaec1fe1]- defaults/linux-64::gstreamer==1.14.1=h5eee18b_1[md5=f2f26e6f869b5d87f41bd059fae47c3e]- defaults/linux-64::h11==0.16.0=py313h06a4308_0[md5=6db1d40eaf8518ba85d4852b407fe577]- defaults/linux-64::h5py==3.12.1=py313h5842655_1[md5=6f32f215760db47b3850e538ecc582c5]- defaults/linux-64::hdf5==1.14.5=h2b7332f_2[md5=f4710b4b1c1d11ad23d2ef9c1225edf6]- defaults/linux-64::holoviews==1.20.2=py313h06a4308_0[md5=f34258e1b7af45e3fb02dd3909366f10]- defaults/linux-64::httpcore==1.0.9=py313h06a4308_0[md5=77016551f9607c23c6243632bf100507]- defaults/linux-64::httpx==0.28.1=py313h06a4308_0[md5=76e77a1dae1c8f8aafbc3166f2491c45]- defaults/linux-64::hvplot==0.11.3=py313h06a4308_0[md5=8b03837a0a39d158854cc28308ab3ecb]- defaults/linux-64::icu==73.1=h6a678d5_0[md5=6d09df641fc23f7d277a04dc7ea32dd4]- defaults/linux-64::idna==3.7=py313h06a4308_0[md5=f3e7d3ba37b45ef8782dd643d7e9733b]- defaults/linux-64::imageio==2.37.0=py313h06a4308_0[md5=e890c5dcf66bf66c8a43125883368f51]- defaults/linux-64::imagesize==1.4.1=py313h06a4308_0[md5=91fd19c4956070190bffe8c5ffda7395]- defaults/linux-64::imbalanced-learn==0.13.0=py313h06a4308_0[md5=11035a37c06260e08b97de704a84e3f3]- defaults/linux-64::importlib-metadata==8.5.0=py313h06a4308_0[md5=b7ea9fa9284466f41c671a8a4a287669]- defaults/linux-64::inflection==0.5.1=py313h06a4308_1[md5=b91ac9fa54330b50b3a8f3a28899d416]- defaults/linux-64::intake==2.0.7=py313h06a4308_0[md5=d22abe3f594aaabc73b633271c365ddc]- defaults/linux-64::intel-openmp==2023.1.0=hdb19cb5_46306[md5=8c3c1916f770196bf998c8310178ae55]- defaults/linux-64::ipykernel==6.29.5=py313h06a4308_1[md5=b2e4c8a45fb4dd9dbe7c089e95367fa7]- defaults/linux-64::ipython==8.30.0=py313h06a4308_0[md5=5c1474dce1e56c0df24ebe5960f3261b]- defaults/linux-64::ipywidgets==8.1.5=py313h06a4308_0[md5=49a68a183906a67ddda6a83f6cd96eae]- defaults/linux-64::isort==6.0.1=py313h06a4308_0[md5=4a5ce8cfd0e87129ada5bf1231e973f6]- defaults/linux-64::itemloaders==1.3.2=py313h06a4308_0[md5=17cf6ae62ad258c30e9575d090cf1bdd]- defaults/linux-64::itsdangerous==2.2.0=py313h06a4308_0[md5=124f6ff7859029909567d6098e8fcd3f]- defaults/linux-64::jaraco.context==6.0.0=py313h06a4308_0[md5=568af8d43ff7c6e7ecdc725bdc860053]- defaults/linux-64::jaraco.functools==4.1.0=py313h06a4308_0[md5=472d048415f35e29b8b39a6cfc947ccd]- defaults/linux-64::jedi==0.19.2=py313h06a4308_0[md5=d05d1ea6e4bcf885f91ffdc69e37c8f2]- defaults/linux-64::jellyfish==1.1.3=py313h4aa5aa6_0[md5=e479dae27c14f3dbdc813254afbef81d]- defaults/linux-64::jinja2==3.1.6=py313h06a4308_0[md5=fdfba35b482e74e74270ecc263a5bd8b]- defaults/linux-64::jmespath==1.0.1=py313h06a4308_0[md5=176befd43e5528adeb243042bcf58390]- defaults/linux-64::joblib==1.4.2=py313h06a4308_0[md5=03c1bd6f949e0ed2ff25c04958f2d7eb]- defaults/linux-64::jpeg==9e=h5eee18b_3[md5=7c070fc8280710bdbef12813039058f8]- defaults/linux-64::jq==1.7.1=h5eee18b_0[md5=5c8e7392aa854e42f6dd9d99e4e20722]- defaults/linux-64::json5==0.9.25=py313h06a4308_0[md5=c53b71c235ac4a6ef557a3f9ff6b997f]- defaults/linux-64::jsonpatch==1.33=py313h06a4308_1[md5=8cb4b1755a4a8fd6a57883863236ef2b]- defaults/linux-64::jsonschema-specifications==2023.7.1=py313h06a4308_0[md5=2b747b2191ffe5a359387df1e4a6ba00]- defaults/linux-64::jsonschema==4.23.0=py313h06a4308_0[md5=a6c1e19ed4d5e178a622e4a3696217ee]- defaults/linux-64::jupyter-lsp==2.2.5=py313h06a4308_0[md5=afbb0b9a43426eaf21fee1c8f3ea5c8a]- defaults/linux-64::jupyter==1.1.1=py313h06a4308_0[md5=c8c361afa42bdaf1f8dbae24feb52166]- defaults/linux-64::jupyter_client==8.6.3=py313h06a4308_0[md5=1b3fc8b093c3bd25b2e5e20967f268aa]- defaults/linux-64::jupyter_console==6.6.3=py313h06a4308_1[md5=5ed302f8bd226e7e9fc0e4c76efbde83]- defaults/linux-64::jupyter_core==5.7.2=py313h06a4308_0[md5=c8876e71cbf29c61e77d5f50ea676a8d]- defaults/linux-64::jupyter_events==0.12.0=py313h06a4308_0[md5=7f70e270125ba9fdbd9614fdc3c681d3]- defaults/linux-64::jupyter_server==2.15.0=py313h06a4308_0[md5=93628e49f60ada4281eaa91c04f0f662]- defaults/linux-64::jupyter_server_terminals==0.5.3=py313h06a4308_0[md5=97ca025e513d996abd25b6d49a5e7da6]- defaults/linux-64::jupyterlab-variableinspector==3.2.4=py313h06a4308_0[md5=db0d519a41ab4faf4de4f28430b2cd7a]- defaults/linux-64::jupyterlab==4.3.4=py313h06a4308_0[md5=84d484c0ddb6ee904ae2301b7931d6b4]- defaults/linux-64::jupyterlab_pygments==0.3.0=py313h06a4308_0[md5=d4b465dd0b62e41dfab3fbfbeb5f0b83]- defaults/linux-64::jupyterlab_server==2.27.3=py313h06a4308_0[md5=1366177ec30e1cb4c256d30470bae98c]- defaults/linux-64::jupyterlab_widgets==3.0.13=py313h06a4308_0[md5=2daf48a74d03b4168c3c5a12c21d74df]- defaults/linux-64::keyring==25.6.0=py313h06a4308_0[md5=611301eaa58f7a2c9eb37376dbd84fea]- defaults/linux-64::kiwisolver==1.4.8=py313h6a678d5_0[md5=b411831c85f79e69cadd04725767da39]- defaults/linux-64::krb5==1.20.1=h143b758_1[md5=cf1accc86321fa25d6b978cc748039ae]- defaults/linux-64::lazy_loader==0.4=py313h06a4308_0[md5=1bd6731abf3dcc551b7ef4a43f9f07b5]- defaults/linux-64::lcms2==2.16=h92b89f2_1[md5=70f0dc0d1eb7f8a3e5721e100d193582]- defaults/linux-64::ld_impl_linux-64==2.40=h12ee557_0[md5=ee672b5f635340734f58d618b7bca024]- defaults/linux-64::lerc==4.0.0=h6a678d5_0[md5=86429321752f28131f259bd4f4d2b9d4]- defaults/linux-64::libabseil==20250127.0=cxx17_h6a678d5_0[md5=61d01f0bb5a4f1c901e0a97e92b5d306]- defaults/linux-64::libarchive==3.7.7=hfab0078_0[md5=c208e4f83c30250d659102b271e8d4e6]- defaults/linux-64::libboost==1.82.0=h109eef0_2[md5=cc971e806cb403c65290ab161bed239a]- defaults/linux-64::libbrotlicommon==1.0.9=h5eee18b_9[md5=afde6c5bb5f590a5b7199d1d8b3d1ad9]- defaults/linux-64::libbrotlidec==1.0.9=h5eee18b_9[md5=241d86e71dbf7fa7c80985dc29c45936]- defaults/linux-64::libbrotlienc==1.0.9=h5eee18b_9[md5=1cf80a144377c9206301a933c3101249]- defaults/linux-64::libclang13==14.0.6=default_he11475f_2[md5=9a60b1ac0db9393e31c61b14fa0c2c37]- defaults/linux-64::libclang==14.0.6=default_hc6dbbc7_2[md5=dfbc3f6624dc3a5d6c4f74cd7fb3278c]- defaults/linux-64::libcups==2.4.2=h2d74bed_1[md5=3f265c2172a9e8c90a74037b6fa13685]- defaults/linux-64::libcurl==8.12.1=hc9e6f67_0[md5=2904da5e450707a95d420b55b6b88d19]- defaults/linux-64::libdeflate==1.22=h5eee18b_0[md5=51297c5e50c5a5ecc8d5eb0883ff04bc]- defaults/linux-64::libedit==3.1.20230828=h5eee18b_0[md5=850eb5a9d2d7d3c66cce12e84406ca08]- defaults/linux-64::libev==4.33=h7f8727e_1[md5=5065620db4393fb549f30114a33897d1]- defaults/linux-64::libevent==2.1.12=hdbd6064_1[md5=99312bf9d90f1ea14534b40afb61ce63]- defaults/linux-64::libffi==3.4.4=h6a678d5_1[md5=70646cc713f0c43926cfdcfe9b695fe0]- defaults/linux-64::libgcc-ng==11.2.0=h1234567_1[md5=a87728dabf3151fb9cfa990bd2eb0464]- defaults/linux-64::libgfortran-ng==11.2.0=h00389a5_1[md5=7429b67ab7b1d7cb99b9d1f3ddaec6e3]- defaults/linux-64::libgfortran5==11.2.0=h1234567_1[md5=36a01a8c30e0cadf0d3e842c50b73f3b]- defaults/linux-64::libglib==2.78.4=hdc74915_0[md5=2f6d27741e931d5b6ba56e1a1312aaf0]- defaults/linux-64::libgomp==11.2.0=h1234567_1[md5=b372c0eea9b60732fdae4b817a63c8cd]- defaults/linux-64::libgrpc==1.71.0=h2d74bed_0[md5=9b1897f111d74cb578e061d184a9e86f]- defaults/linux-64::libiconv==1.16=h5eee18b_3[md5=197b1a0886a31fccab2167340528eebc]- defaults/linux-64::liblief==0.16.4=h6a678d5_0[md5=87e90056b5f9e5462f485742bf620fc5]- defaults/linux-64::libllvm14==14.0.6=hecde1de_4[md5=6632d0fded357829c566744d2d8ab20c]- defaults/linux-64::libmamba==2.0.5=haf1ee3a_1[md5=0f1450592dc7555e315f5d684ce481eb]- defaults/linux-64::libmambapy==2.0.5=py313hdb19cb5_1[md5=c56ed0c34af1a360984e20bf13200007]- defaults/linux-64::libmpdec==4.0.0=h5eee18b_0[md5=feb10f42b1a7b523acbf85461be41a3e]- defaults/linux-64::libnghttp2==1.57.0=h2d74bed_0[md5=674871621300f54e7ffcf93e6e341638]- defaults/linux-64::libpng==1.6.39=h5eee18b_0[md5=f6aee38184512eb05b06c2e94d39ab22]- defaults/linux-64::libpq==17.4=hdbd6064_0[md5=8031b79dcc8b743d3e887f6052a2d36f]- defaults/linux-64::libprotobuf==5.29.3=hc99497a_0[md5=ce9e990ef6b33ac43d83fa447e0dd7f5]- defaults/linux-64::libre2-11==2024.07.02=h6a678d5_0[md5=5ed2920f4d705f948ab0109ca6f5192f]- defaults/linux-64::libsodium==1.0.18=h7b6447c_0[md5=c8783b20f0e14bc1d701352c26c264d5]- defaults/linux-64::libsolv==0.7.30=he621ea3_1[md5=6918c29c4b65f21c71aac679b49c02e4]- defaults/linux-64::libspatialindex==1.9.3=h2531618_0[md5=2944eeda0125389c979af67e4460a510]- defaults/linux-64::libssh2==1.11.1=h251f7ec_0[md5=dd68c24355431c0543339dda1404129d]- defaults/linux-64::libstdcxx-ng==11.2.0=h1234567_1[md5=57623d10a70e09e1d048c2b2b6f4e2dd]- defaults/linux-64::libthrift==0.15.0=h1795dd8_2[md5=ec4c17f00b24cc0b9dfd5e0e0a857bce]- defaults/linux-64::libtiff==4.7.0=hde9077f_0[md5=0192dc37ecb4b52209939a1960cc1bfa]- defaults/linux-64::libuuid==1.41.5=h5eee18b_0[md5=4a6a2354414c9080327274aa514e5299]- defaults/linux-64::libwebp-base==1.3.2=h5eee18b_1[md5=6a35e05c5f155b53065227773539dd64]- defaults/linux-64::libxcb==1.17.0=h9b100fa_0[md5=fdf0d380fa3809a301e2dbc0d5183883]- defaults/linux-64::libxkbcommon==1.9.1=h69220b7_0[md5=9463cf4b8ae22a220f3c5f9ea9d93d09]- defaults/linux-64::libxml2==2.13.8=hfdd30dd_0[md5=6da89b526f12f128af101c3f70d12c6d]- defaults/linux-64::libxslt==1.1.41=h097e994_0[md5=f5a438e06b3effe75b6a20ea63d1c062]- defaults/linux-64::linkify-it-py==2.0.0=py313h06a4308_0[md5=646c6cc57a8ebba1542f94d44db4c992]- defaults/linux-64::llvmlite==0.44.0=py313hc1e8f15_1[md5=ee7480095fb7b3fe4c1d4b41edb1ebcc]- defaults/linux-64::locket==1.0.0=py313h06a4308_0[md5=c4616278aa36d4d467264f5d2a738d0c]- defaults/linux-64::lxml==5.3.0=py313h57af460_1[md5=b37ab2f00f4c298ebcedaadd7a874613]- defaults/linux-64::lz4-c==1.9.4=h6a678d5_1[md5=2ee58861f2b92b868ce761abb831819d]- defaults/linux-64::lz4==4.3.2=py313h5eee18b_1[md5=cdde5688189dac13c80ed3d76da59b11]- defaults/linux-64::lzo==2.10=h7b6447c_2[md5=65722a7644f424de73fea6e87edd7653]- defaults/linux-64::markdown-it-py==2.2.0=py313h06a4308_1[md5=0c3ee40437213e528c99bff0bcc5a942]- defaults/linux-64::markdown==3.8=py313h06a4308_0[md5=c0b85676cc0e82efd26a6f053db35350]- defaults/linux-64::markupsafe==3.0.2=py313h5eee18b_0[md5=a067f410390e617628ed60e655e6d1ba]- defaults/linux-64::matplotlib-base==3.10.0=py313h68cf311_1[md5=247ce7cdafb39405af81ffd31c54541f]- defaults/linux-64::matplotlib-inline==0.1.6=py313h06a4308_0[md5=909d39069666ca4e7e0d41a3280dae8d]- defaults/linux-64::matplotlib==3.10.0=py313h06a4308_1[md5=5ae3a02708e30305f29dea5ddf56ea05]- defaults/linux-64::mbedtls==3.5.1=h6a678d5_1[md5=c592d047f3308f1e1e96629d6b77d2d5]- defaults/linux-64::mdit-py-plugins==0.3.0=py313h06a4308_0[md5=3ba33896b18eb3ef17e4ec123462ec33]- defaults/linux-64::mdurl==0.1.0=py313h06a4308_0[md5=5bca585008b9e6ce6997871309117479]- defaults/linux-64::menuinst==2.2.0=py313h06a4308_1[md5=feb4995cd9f70c1925dcf18449ada963]- defaults/linux-64::mistune==3.1.2=py313h06a4308_0[md5=7364a2400eba647205605d6ca34c6701]- defaults/linux-64::mkl-service==2.4.0=py313h5eee18b_2[md5=cceee39ce7c4cc0e2510798c8505b5e7]- defaults/linux-64::mkl==2023.1.0=h213fc3f_46344[md5=83e5adf5b75242d8d7634615fed37c72]- defaults/linux-64::mkl_fft==1.3.11=py313h5eee18b_0[md5=1295784f86e5a9a2fc34ce39a08bb771]- defaults/linux-64::mkl_random==1.2.8=py313h06d7b56_0[md5=f5543b0231d449c4293c6708cd05cc70]- defaults/linux-64::more-itertools==10.3.0=py313h06a4308_0[md5=ee08e17a18339269f11ba3109f4fb225]- defaults/linux-64::mpc==1.3.1=h5eee18b_0[md5=38c390d8dfac3d949fd8f5861a92cf1e]- defaults/linux-64::mpfr==4.2.1=h5eee18b_0[md5=eb7ccb111d9f20ad9b26113b0bdb8356]- defaults/linux-64::mpmath==1.3.0=py313h06a4308_0[md5=1983b530697a3901b34b0b0ed3aeabda]- defaults/linux-64::msgpack-python==1.0.3=py313hdb19cb5_0[md5=1b2d71a9623bf70098799f007000d7de]- defaults/linux-64::multidict==6.1.0=py313h5eee18b_0[md5=3f1e66c084cb940d630eab20c40d75d1]- defaults/linux-64::multipledispatch==0.6.0=py313h06a4308_0[md5=5aa5efa0ee8e2b8a30c3fe4f043a1b94]- defaults/linux-64::mypy==1.14.1=py313h5eee18b_0[md5=4e0ddd3134f06a0d10cf22e3b5491886]- defaults/linux-64::mypy_extensions==1.0.0=py313h06a4308_0[md5=40cb782b343f8534b787c8239c5c59d9]- defaults/linux-64::mysql==8.4.0=h721767e_2[md5=25c6e86dbcfd07393069c2b16dd07872]- defaults/linux-64::narwhals==1.31.0=py313h06a4308_1[md5=4352f57552850d0fd8676b8b2a9335f9]- defaults/linux-64::navigator-updater==0.5.1=py313h06a4308_0[md5=c1bb5e9cb6ce386803fc7eccccea87d6]- defaults/linux-64::nbclient==0.10.2=py313h06a4308_0[md5=f056347030111a5c8f164fa4c813beda]- defaults/linux-64::nbconvert-core==7.16.6=py313h06a4308_0[md5=c78c1addaf9b28da5a8f68a31fe132f2]- defaults/linux-64::nbconvert-pandoc==7.16.6=py313h06a4308_0[md5=385586619b51b433bce74a22d2a3efa8]- defaults/linux-64::nbconvert==7.16.6=py313h06a4308_0[md5=7c97530553eccc70704cdd3f01839e96]- defaults/linux-64::nbformat==5.10.4=py313h06a4308_0[md5=b9ee8adce00b801f3767671675300a6f]- defaults/linux-64::ncurses==6.4=h6a678d5_0[md5=5558eec6e2191741a92f832ea826251c]- defaults/linux-64::nest-asyncio==1.6.0=py313h06a4308_0[md5=57bb61226b33593a82dc9d7404a8a049]- defaults/linux-64::networkx==3.4.2=py313h06a4308_0[md5=c507455b94d5b2db37c4b033ce82891f]- defaults/linux-64::nlohmann_json==3.11.2=h6a678d5_0[md5=36890f7abd98066b607211b1773e6343]- defaults/linux-64::nltk==3.9.1=py313h06a4308_0[md5=55263856ec707d05e930d8423e4b0c8a]- defaults/linux-64::notebook-shim==0.2.4=py313h06a4308_0[md5=e8e371fbb7744987b241ee1548dc4e27]- defaults/linux-64::notebook==7.3.2=py313h06a4308_1[md5=67ffed418d3dc289ed79ac1e1752df0f]- defaults/linux-64::nspr==4.35=h6a678d5_0[md5=208fff5d60133bcff6998a70c9f5203b]- defaults/linux-64::nss==3.89.1=h6a678d5_0[md5=4d9d28fc3a0ca4916f281d2f5429ac50]- defaults/linux-64::numba==0.61.0=py313h6a678d5_1[md5=2edacc1bdac9a5ad8169dc78fa9e4e53]- defaults/linux-64::numexpr==2.10.1=py313h3c60e43_0[md5=fb2a343b056dd136f4db2bb1c3ba804b]- defaults/linux-64::numpy-base==2.1.3=py313h3fc9231_0[md5=a545d334d6b1b6de80c2ab21b4879bfa]- defaults/linux-64::numpy==2.1.3=py313hf4aebb8_0[md5=d634157785f1310b4a74deec8ecde024]- defaults/linux-64::numpydoc==1.7.0=py313h06a4308_0[md5=7178824061f5882f89ce971f991a0506]- defaults/linux-64::oniguruma==6.9.7.1=h27cfd23_0[md5=3415c8dd052c9032955fa24b870725ea]- defaults/linux-64::openjpeg==2.5.2=h0d4d230_1[md5=51f08ca1d1e46d9658e1f4f30f311fe8]- defaults/linux-64::openldap==2.6.4=h42fbc30_0[md5=5047daab0cf46adfee50f53d8735d40a]- defaults/linux-64::openpyxl==3.1.5=py313h5eee18b_1[md5=739844626ad94fc02d63d3ae72df8a43]- defaults/linux-64::openssl==3.0.16=h5eee18b_0[md5=5875526739afa058cfa84da1fa7a2ef4]- defaults/linux-64::orc==2.1.1=hd396ef6_0[md5=90ce1c571b5a8430d3f97eafafb3353d]- defaults/linux-64::overrides==7.4.0=py313h06a4308_0[md5=1d2f5a7d378d0afe8bd6e3aa19f11820]- defaults/linux-64::packaging==24.2=py313h06a4308_0[md5=b7961f58a4d39d20c51d6954e74340e8]- defaults/linux-64::pandas==2.2.3=py313h6a678d5_0[md5=8473c36684950425e62454a8edf48849]- defaults/linux-64::pandoc==2.12=h06a4308_3[md5=9201d6eb0288b47003c2a86ca3659280]- defaults/linux-64::panel==1.7.0=py313h06a4308_0[md5=c719a827606c43f147e31d0b28ac862a]- defaults/linux-64::param==2.2.0=py313h06a4308_0[md5=9e2a57d40d6031be004a70fe52db8482]- defaults/linux-64::parsel==1.8.1=py313h06a4308_0[md5=e21c90bf6bb74dc2105ae15b8e3c777f]- defaults/linux-64::parso==0.8.4=py313h06a4308_0[md5=4de7e4ddd755ba4f61cb9818095d7eec]- defaults/linux-64::partd==1.4.2=py313h06a4308_0[md5=3c90e7d5cce0f5f69b7f55b5aa42cb57]- defaults/linux-64::patch==2.7.6=h7b6447c_1001[md5=5a47ace7ef08447fe6a602ff16129393]- defaults/linux-64::patchelf==0.17.2=h6a678d5_0[md5=63ad6ea1e47f568a1bdb5edb66734026]- defaults/linux-64::pathspec==0.10.3=py313h06a4308_0[md5=bee095792138b92f487d743f453f908d]- defaults/linux-64::patsy==1.0.1=py313h06a4308_0[md5=19093f97986bdc44331adbb30210a546]- defaults/linux-64::pcre2==10.42=hebb0a14_1[md5=727e15c3cfa02b032da4eb0c1123e977]- defaults/linux-64::pillow==11.1.0=py313hac6e08b_1[md5=d2efd6a566d17d35027809708fa12ae7]- defaults/linux-64::pkce==1.0.3=py313h06a4308_0[md5=a1e79da30a6c62c6398e9bb990ee9ed6]- defaults/linux-64::pkginfo==1.12.0=py313h06a4308_0[md5=96a98923b53a0d68630ca1bc452dca49]- defaults/linux-64::platformdirs==4.3.7=py313h06a4308_0[md5=6cdbb54f78166c07399004f961726487]- defaults/linux-64::plotly==5.24.1=py313h7040dfc_1[md5=fa57f3e1d6026e0e74134fc0c1c9d540]- defaults/linux-64::pluggy==1.5.0=py313h06a4308_0[md5=ea142d52281afe8e9a79e4a33c023e41]- defaults/linux-64::ply==3.11=py313h06a4308_1[md5=569b863c99a942dc2b2ee24b7fd4e033]- defaults/linux-64::prometheus_client==0.21.1=py313h06a4308_0[md5=e35334b7e8ea5b87c8a99b3785ca1e4f]- defaults/linux-64::prompt-toolkit==3.0.43=py313h06a4308_0[md5=00c2861c3a88fa4721e253f0fa263c81]- defaults/linux-64::propcache==0.3.1=py313h5eee18b_0[md5=86c28c6a0789f0a2738e91159fa9e568]- defaults/linux-64::protego==0.4.0=py313h06a4308_0[md5=06b0c68dc681a0cb2308d624b3292322]- defaults/linux-64::protobuf==5.29.3=py313he621ea3_0[md5=d547f799aeb82a9e1c7c706bfdbd67f5]- defaults/linux-64::psutil==5.9.0=py313h5eee18b_1[md5=b335e16af0d31c0b13407b16ecef0689]- defaults/linux-64::pthread-stubs==0.3=h0ce48e5_1[md5=973a642312d2a28927aaf5b477c67250]- defaults/linux-64::py-cpuinfo==9.0.0=py313h06a4308_0[md5=7dc0590a9b972411fc44f3bc407d0a44]- defaults/linux-64::py-lief==0.16.4=py313h6a678d5_0[md5=42b63971250af9f92612181f4d3b5429]- defaults/linux-64::pyarrow==19.0.0=py313h6a678d5_1[md5=718373b4e93f1d2e49083e8dd5794ad2]- defaults/linux-64::pycodestyle==2.12.1=py313h06a4308_0[md5=417d3b80b4bf4cb5cb518fae08be9f11]- defaults/linux-64::pycosat==0.6.6=py313h5eee18b_2[md5=60ea7416e08d78563e31d16c333bd57f]- defaults/linux-64::pyct==0.5.0=py313h06a4308_0[md5=db8f1e1139cd606df07507bf11ad449d]- defaults/linux-64::pycurl==7.45.6=py313haf51bff_0[md5=4ee0e622d466cf66630e902d2720f303]- defaults/linux-64::pydantic-core==2.27.1=py313h4aa5aa6_0[md5=3d619f57beecf895d3601d2ff21bfed9]- defaults/linux-64::pydantic-settings==2.6.1=py313h06a4308_0[md5=37546fa6cc30a5a794b9dd505368eb84]- defaults/linux-64::pydantic==2.10.3=py313h06a4308_0[md5=3e66cfc68bf5e244f7d983a37d52058f]- defaults/linux-64::pydispatcher==2.0.5=py313h06a4308_3[md5=23779fb8bb4d1cd5664f5d7434d964bd]- defaults/linux-64::pydocstyle==6.3.0=py313h06a4308_0[md5=d930722197df2454b2491f3e96327994]- defaults/linux-64::pyerfa==2.0.1.5=py313h5eee18b_0[md5=e9352fc660479d2c25683e22b0646d2d]- defaults/linux-64::pyflakes==3.2.0=py313h06a4308_0[md5=333a9924b1b516d73f34d79f5da3e1ee]- defaults/linux-64::pygithub==2.4.0=py313h06a4308_0[md5=ca89e03137d34995534f68b137ffb359]- defaults/linux-64::pygments==2.19.1=py313h06a4308_0[md5=8fcbba71964f3d4d936e846c3bc9fb13]- defaults/linux-64::pyjwt==2.10.1=py313h06a4308_0[md5=2c17b6fb0a6100caada2e7ee72308bec]- defaults/linux-64::pylint-venv==3.0.3=py313h06a4308_0[md5=0c9888f09f577e5928e5e38534391cdb]- defaults/linux-64::pylint==3.3.5=py313h06a4308_0[md5=b216c21c6812d92ba00115894438114c]- defaults/linux-64::pynacl==1.5.0=py313h5eee18b_1[md5=8c8bd1632b9ac7a92d52acf3f5fc94a8]- defaults/linux-64::pyodbc==5.2.0=py313h6a678d5_0[md5=916b91a2d54beb6dca8853a5d9d09b2f]- defaults/linux-64::pyopenssl==25.0.0=py313h06a4308_0[md5=938f759291b94a805d7b192b4aa1ccab]- defaults/linux-64::pyparsing==3.2.0=py313h06a4308_0[md5=8f546d1947fa8e3ee33701f472031417]- defaults/linux-64::pyqt5-sip==12.13.0=py313h5eee18b_1[md5=de317e6d4711dcab046fd9be67bb1bee]- defaults/linux-64::pyqt==5.15.10=py313h6a678d5_1[md5=b7b09313f319883b2314992e0ee0b5b0]- defaults/linux-64::pyqtwebengine==5.15.10=py313h6a678d5_1[md5=df1b1574a8f71bec5e5cd175395dc905]- defaults/linux-64::pysocks==1.7.1=py313h06a4308_0[md5=a493580ce366b942a8e1c00ee00c4182]- defaults/linux-64::pytables==3.10.2=py313hc48ae32_2[md5=352aaa86c6c93a5f2ae81923217bb329]- defaults/linux-64::pytest==8.3.4=py313h06a4308_0[md5=8ebcba0ef53cfa8202b020a7ab29c980]- defaults/linux-64::python-dateutil==2.9.0post0=py313h06a4308_2[md5=a844b3df0b11b33f4742841d25146b6c]- defaults/linux-64::python-dotenv==1.1.0=py313h06a4308_0[md5=33e2c8b6a83ba5bdbda0639bfb37496c]- defaults/linux-64::python-fastjsonschema==2.20.0=py313h06a4308_0[md5=fe6218d3ac73abc9f6962e62c2417288]- defaults/linux-64::python-json-logger==3.2.1=py313h06a4308_0[md5=501f2c31f8fce307c460ff956fdf2dcb]- defaults/linux-64::python-lmdb==1.6.2=py313h6a678d5_0[md5=c6931d274df92f227b391262faff0c8d]- defaults/linux-64::python-lsp-black==2.0.0=py313h06a4308_1[md5=63fd2568bb6ed8e343eeff70ce3ee41d]- defaults/linux-64::python-lsp-server==1.12.2=py313h7040dfc_0[md5=d9bd223f787b39e663af9d04480eca61]- defaults/linux-64::python==3.13.5=h4612cfd_100_cp313[md5=1adf42b71c42a4a540eae2c0026f02c3]- defaults/linux-64::python_abi==3.13=0_cp313[md5=d4009c49dd2b54ffded7f1365b5f6505]- defaults/linux-64::pytoolconfig==1.2.6=py313h06a4308_0[md5=6f587b17e8eb7af9bbd8932d929a2443]- defaults/linux-64::pytz==2024.1=py313h06a4308_0[md5=8e953adc8ab2713ad3c68b699fc77774]- defaults/linux-64::pyuca==1.2=py313h06a4308_1[md5=b1a2c93f5a8f8625183e1f18861f2407]- defaults/linux-64::pyviz_comms==3.0.2=py313h06a4308_0[md5=32ffafe764a72503c7ecf691c01b3dc9]- defaults/linux-64::pywavelets==1.8.0=py313h5eee18b_0[md5=261f59896988228c3eecd9ba1de38844]- defaults/linux-64::pyyaml==6.0.2=py313h5eee18b_0[md5=83913552ff08a5b20678390a63c109b3]- defaults/linux-64::pyzmq==26.2.0=py313h6a678d5_0[md5=d9445d88f8028d659fc114f60fc07f06]- defaults/linux-64::qstylizer==0.2.2=py313h06a4308_0[md5=d5b26a98ad1dda3682f1e0aceb1c18ce]- defaults/linux-64::qt-main==5.15.2=hb6262e9_12[md5=a186e6966a1bbb303cd5379b9df99760]- defaults/linux-64::qt-webengine==5.15.9=he2071f7_8[md5=5b895cb42e945db2c37b514704bf652e]- defaults/linux-64::qtawesome==1.4.0=py313h06a4308_0[md5=9115b9da69d217e08f399b1ea17da9f2]- defaults/linux-64::qtconsole==5.6.1=py313h06a4308_1[md5=c213e4855c63d0303326596be2d6719d]- defaults/linux-64::qtpy==2.4.1=py313h06a4308_0[md5=703201b4c110ef104b17c93e1eededb3]- defaults/linux-64::queuelib==1.6.2=py313h06a4308_0[md5=73d26ce0edbc714dd355a275850295d6]- defaults/linux-64::re2==2024.07.02=hdb19cb5_0[md5=5aeac4f506fee4388076f7ee36e0f372]- defaults/linux-64::readchar==4.0.5=py313h06a4308_0[md5=42a02a52ac3364e165087e5c753b40ce]- defaults/linux-64::readline==8.2=h5eee18b_0[md5=be42180685cce6e6b0329201d9f48efb]- defaults/linux-64::referencing==0.30.2=py313h06a4308_0[md5=cb9ea8745fb274bca09e5281b8563fd1]- defaults/linux-64::regex==2024.11.6=py313h5eee18b_0[md5=ac691fe602926ae105543276c9d93b6a]- defaults/linux-64::reproc-cpp==14.2.4=h6a678d5_2[md5=b03aa4903158279f003e7032ab9f5601]- defaults/linux-64::reproc==14.2.4=h6a678d5_2[md5=3c6dbc6c60b3897222d79359343e90fa]- defaults/linux-64::requests-file==2.1.0=py313h06a4308_0[md5=6914d8a5e74edfac6748afdb268f1e72]- defaults/linux-64::requests-toolbelt==1.0.0=py313h06a4308_0[md5=3d3714d0b2268f6cbe59c3d29cfd40e7]- defaults/linux-64::requests==2.32.3=py313h06a4308_1[md5=119859bcf1462b08bc8f8b672877eb85]- defaults/linux-64::rfc3339-validator==0.1.4=py313h06a4308_0[md5=de317dbd0b3f783e79f781b4eb509dd2]- defaults/linux-64::rfc3986-validator==0.1.1=py313h06a4308_0[md5=d08b1340638338691f9cc282eb10601a]- defaults/linux-64::rich==13.9.4=py313h06a4308_0[md5=29573c0e57aea86c5d68759975638187]- defaults/linux-64::roman-numerals-py==3.1.0=py313h06a4308_0[md5=a533f7534ed68b0a317a578619db6bfc]- defaults/linux-64::rope==1.13.0=py313h06a4308_0[md5=acfe968160e2f3eaa8f6fb6c612b8a07]- defaults/linux-64::rpds-py==0.22.3=py313h4aa5aa6_0[md5=f48afa2a8ef4b3559b9d564ea2d7e7fc]- defaults/linux-64::rtree==1.0.1=py313h06a4308_0[md5=9f83cfb4ed1523dd2e47ff6aea99bb08]- defaults/linux-64::ruamel.yaml.clib==0.2.12=py313h5eee18b_0[md5=d9da5a7327cd6c9ee11d7b7ac1b7d082]- defaults/linux-64::ruamel.yaml==0.18.10=py313h5eee18b_0[md5=70c6985c0871d511a94afb1e8537943f]- defaults/linux-64::ruamel_yaml==0.17.21=py313h5eee18b_0[md5=38914545cd77d16d29f00ff064b88e60]- defaults/linux-64::s2n==1.3.27=hdbd6064_0[md5=0224b27f3419e746be5a809cc3cd2172]- defaults/linux-64::s3fs==2025.3.2=py313h06a4308_0[md5=8d0231b404f631ca8ffeecc937d619f5]- defaults/linux-64::scikit-image==0.25.0=py313h6a678d5_0[md5=f8572d932ee25597907015b8c83a4879]- defaults/linux-64::scikit-learn==1.6.1=py313h6a678d5_0[md5=1e6207a1559fb571d81d339e37354df9]- defaults/linux-64::scipy==1.15.3=py313h7f54423_0[md5=a658428bcf2042eea0e8102a85de62ec]- defaults/linux-64::scrapy==2.12.0=py313h06a4308_1[md5=453dae52fd74ac2bbcfa7ad0afde22ac]- defaults/linux-64::seaborn==0.13.2=py313h06a4308_3[md5=494bf3113c7773eb15c8d6e09553f90b]- defaults/linux-64::secretstorage==3.3.1=py313h06a4308_1[md5=bd9d99500717e83799f51f36825e6c2a]- defaults/linux-64::semver==3.0.2=py313h06a4308_1[md5=42fd2505022b95daa0061e091c9ddcda]- defaults/linux-64::send2trash==1.8.2=py313h06a4308_1[md5=54ed4655a1eb0d78bab976fa2923e2dc]- defaults/linux-64::service_identity==24.2.0=py313h06a4308_0[md5=1b77c060037f40a6e787a35385a0deb2]- defaults/linux-64::setuptools==72.1.0=py313h06a4308_0[md5=9bd53c7f3f485cd2ed96f8fc57d069ba]- defaults/linux-64::shellingham==1.5.0=py313h06a4308_0[md5=fec77e08b241c9bae71940db00e14b65]- defaults/linux-64::simdjson==3.10.1=hdb19cb5_0[md5=7b2a4b5be590071e1b4dce77b413d26a]- defaults/linux-64::sip==6.7.12=py313h6a678d5_1[md5=8030d71a5c73cbb7e283b4bbd2241132]- defaults/linux-64::six==1.17.0=py313h06a4308_0[md5=648ce63d75b826e85fb8801c8b4b4e44]- defaults/linux-64::sklearn-compat==0.1.3=py313h06a4308_0[md5=3f10593da3fd5229b91290e9f6f32b3a]- defaults/linux-64::snappy==1.2.1=h6a678d5_0[md5=e8c664fa38ba48b095d8c7bb1d755c10]- defaults/linux-64::sniffio==1.3.0=py313h06a4308_0[md5=fe61fd8ec278513ea88a26045511a6b8]- defaults/linux-64::soupsieve==2.5=py313h06a4308_0[md5=fb72226b88e6ae7559bfa65e7145e413]- defaults/linux-64::spdlog==1.11.0=hdb19cb5_0[md5=023cfe6341f1d90dee2016e608538537]- defaults/linux-64::sphinx==8.2.3=py313h5eee18b_0[md5=c275e698cb0db2de29805d148b6bb950]- defaults/linux-64::spyder-kernels==3.0.5=py313h7040dfc_0[md5=573dfcd29dfc87fc2a25c527e0385949]- defaults/linux-64::spyder==6.0.7=py313h06a4308_1[md5=6c542d67aae92d23daac6f8387f85c9e]- defaults/linux-64::sqlalchemy==2.0.39=py313h00e1ef3_0[md5=b4e96256d2054079d096b60b7678db51]- defaults/linux-64::sqlite==3.45.3=h5eee18b_0[md5=acf93d6aceb74d6110e20b44cc45939e]- defaults/linux-64::statsmodels==0.14.4=py313h5eee18b_0[md5=3c9b0bd5b5e2d8a4d0b05eb935ea7d02]- defaults/linux-64::streamlit==1.45.1=py313h06a4308_1[md5=c6fd144fb014106f88cfeecc9871cf93]- defaults/linux-64::superqt==0.7.3=py313h7040dfc_0[md5=288f4885f9ce0f9d047681cf9f436948]- defaults/linux-64::sympy==1.13.3=py313h06a4308_1[md5=402c4a0cff0e53740e333e8419cd7b2a]- defaults/linux-64::tabulate==0.9.0=py313h06a4308_0[md5=e68133031bc703254e3e3c2dda9951b9]- defaults/linux-64::tbb==2021.8.0=hdb19cb5_0[md5=869373905a6bfacbb967abc98516dd85]- defaults/linux-64::tblib==3.1.0=py313h06a4308_0[md5=e6008ca6250f3af698d9af754ac90b9e]- defaults/linux-64::tenacity==9.0.0=py313h06a4308_0[md5=24c3eb2345bb9c00ce82f050387a2b63]- defaults/linux-64::terminado==0.17.1=py313h06a4308_0[md5=4caaddbecd0968da201ace5f9a19bd05]- defaults/linux-64::textdistance==4.6.3=py313h7040dfc_0[md5=072c382a0c66f4b191462e1277eb9f00]- defaults/linux-64::threadpoolctl==3.5.0=py313h7040dfc_0[md5=457a86d412e416366608590d6065e3a7]- defaults/linux-64::tifffile==2025.2.18=py313h06a4308_0[md5=b039f3aefc769f8d1c4dadcc5a699ec4]- defaults/linux-64::tinycss2==1.4.0=py313h06a4308_0[md5=c78ac3b579d65450685b73d94d6bd0a7]- defaults/linux-64::tk==8.6.14=h993c535_1[md5=bfe656b29fc64afe5d4bd46dbd5fd240]- defaults/linux-64::tldextract==5.1.2=py313h06a4308_0[md5=5e689c52f72ad6c4c14db21ce2de1b58]- defaults/linux-64::tomli==2.0.1=py313h06a4308_1[md5=365108161688b88ca244cf410f62afd2]- defaults/linux-64::tomlkit==0.13.2=py313h06a4308_0[md5=c35b71986714b277b84239113eb52f0c]- defaults/linux-64::toolz==1.0.0=py313h06a4308_0[md5=ecaece0bf290a7f29f1bc097d6c2ad77]- defaults/linux-64::tornado==6.5.1=py313h5eee18b_0[md5=ed4e59de97d5832a446b8d08fada66ff]- defaults/linux-64::tqdm==4.67.1=py313h7040dfc_0[md5=2efb4b3310f058cb95d326989bddc761]- defaults/linux-64::traitlets==5.14.3=py313h06a4308_0[md5=e3ab7e8538a252ccb235f1cf218bda52]- defaults/linux-64::truststore==0.10.0=py313h06a4308_0[md5=ab3e76bdc25cd61781ea691d7ab8fc2c]- defaults/linux-64::twisted==24.11.0=py313h06a4308_0[md5=79e907f10a487c5f4a9b93ec516962b4]- defaults/linux-64::typer==0.9.0=py313h06a4308_0[md5=7c1a4cd7cd5bc54f1460e0e2a8c5c0a3]- defaults/linux-64::typing-extensions==4.12.2=py313h06a4308_0[md5=f011fee76cd912d47567c6cedb0074c9]- defaults/linux-64::typing_extensions==4.12.2=py313h06a4308_0[md5=e1a419944c11dc4592cdce114d0a3063]- defaults/linux-64::uc-micro-py==1.0.1=py313h06a4308_0[md5=51f0a851e512ce8c00947f79c3775c64]- defaults/linux-64::ujson==5.10.0=py313h6a678d5_1[md5=a7964f8807091234d5f21b0b6e78487c]- defaults/linux-64::unidecode==1.3.8=py313h06a4308_0[md5=7773775d45f9e6f6ca249878d64b5014]- defaults/linux-64::unixodbc==2.3.11=h5eee18b_0[md5=e9778769e924f6964b892ad07abbabb6]- defaults/linux-64::urllib3==2.3.0=py313h06a4308_0[md5=293df67437af6ad722c9c7f2ddcf0e2c]- defaults/linux-64::utf8proc==2.6.1=h5eee18b_1[md5=70584a9ac726e2f362e229edb7375da4]- defaults/linux-64::watchdog==4.0.2=py313h06a4308_0[md5=1fd1f944a3d447a638ddaf4c4155c988]- defaults/linux-64::webencodings==0.5.1=py313h06a4308_2[md5=fd0c22e18548901e866462d7488dc2b5]- defaults/linux-64::websocket-client==1.8.0=py313h06a4308_0[md5=cd805fc1c03b37261cd59c35ea1a976e]- defaults/linux-64::werkzeug==3.1.3=py313h06a4308_0[md5=a0147132ab6e170d9334cfb5547d26ee]- defaults/linux-64::whatthepatch==1.0.2=py313h06a4308_0[md5=8a6307cb0393a97b46df9e51931e9990]- defaults/linux-64::wheel==0.45.1=py313h06a4308_0[md5=29057e876eedce0e37c2388c138a19f9]- defaults/linux-64::widgetsnbextension==4.0.13=py313h06a4308_0[md5=6f9c8d195273497244b87f11e759e98f]- defaults/linux-64::wrapt==1.17.0=py313h5eee18b_0[md5=446fbd19ad7929dd70635f0303c5047b]- defaults/linux-64::wurlitzer==3.0.2=py313h06a4308_0[md5=f2ac1fcb0bbc6c9bc78e0fcf6a4ead42]- defaults/linux-64::xarray==2025.4.0=py313h06a4308_0[md5=1e0dc287e1ba8fa1c7a74f276ed56a2a]- defaults/linux-64::xkeyboard-config==2.44=h5eee18b_0[md5=5fe0fb20e4db2b20b7e91a6dc4b912f1]- defaults/linux-64::xorg-libx11==1.8.12=h9b100fa_1[md5=6298b27afae6f49f03765b2a03df2fcb]- defaults/linux-64::xorg-libxau==1.0.12=h9b100fa_0[md5=a8005a9f6eb903e113cd5363e8a11459]- defaults/linux-64::xorg-libxdmcp==1.1.5=h9b100fa_0[md5=c284a09ddfba81d9c4e740110f09ea06]- defaults/linux-64::xorg-xorgproto==2024.1=h5eee18b_1[md5=412a0d97a7a51d23326e57226189da92]- defaults/linux-64::xyzservices==2022.9.0=py313h06a4308_1[md5=9131a088d00dc2c0528973e9349223cf]- defaults/linux-64::xz==5.6.4=h5eee18b_1[md5=3581505fa450962d631bd82b8616350e]- defaults/linux-64::yaml-cpp==0.8.0=h6a678d5_1[md5=015d2d74ad3c8e53eec3358637433718]- defaults/linux-64::yaml==0.2.5=h7b6447c_0[md5=39fdbf4db769e494ffb06d95680c83d8]- defaults/linux-64::yapf==0.40.2=py313h06a4308_0[md5=608968a414f2ebc1942635275978eb50]- defaults/linux-64::yarl==1.18.0=py313h5eee18b_0[md5=534377efaa822f7f9dee7a62f3ad6e23]- defaults/linux-64::zeromq==4.3.5=h6a678d5_0[md5=354c934a4a5500f4c455c630f2702dbc]- defaults/linux-64::zict==3.0.0=py313h06a4308_0[md5=29555cac55f6a7c011b614799d59a018]- defaults/linux-64::zipp==3.21.0=py313h06a4308_0[md5=104f47291bbe408d937a23e2f48756e3]- defaults/linux-64::zlib-ng==2.0.7=h5eee18b_0[md5=77bf8a639a547b2a2b566a5631dc8c7d]- defaults/linux-64::zlib==1.2.13=h5eee18b_1[md5=92e42d8310108b0a440fb2e60b2b2a25]- defaults/linux-64::zope.interface==7.1.1=py313h5eee18b_0[md5=4f55e046a352f45ced16ff1879658d1f]- defaults/linux-64::zope==1.0=py313h06a4308_1[md5=f65241b18f0b8e2c76bdcb1abb27345f]- defaults/linux-64::zstandard==0.23.0=py313h2c38b39_1[md5=5b4bd26f9d674331122482d3c2ac0afe]- defaults/linux-64::zstd==1.5.6=hc292b87_0[md5=78ae7abd3020b41f827b35085845e1b8]- defaults/noarch::aioitertools==0.7.1=pyhd3eb1b0_0[md5=4f67000d720557e75fffdea752e7244f]- defaults/noarch::aiosignal==1.2.0=pyhd3eb1b0_0[md5=b06b2926e101269f76c8131873483edc]- defaults/noarch::appdirs==1.4.4=pyhd3eb1b0_0[md5=5673d98d06171cb6eed03a6736845c4d]- defaults/noarch::archspec==0.2.3=pyhd3eb1b0_0[md5=13d01ee2d343d8539bb47055a6c0b5b2]- defaults/noarch::argon2-cffi==21.3.0=pyhd3eb1b0_0[md5=f00b851bc61b4c313903d31c7daecb09]- defaults/noarch::atomicwrites==1.4.0=py_0[md5=7035266b832ca44ca8655ced0a397eaa]- defaults/noarch::autopep8==2.0.4=pyhd3eb1b0_0[md5=83d827c891de466d378575ede743394c]- defaults/noarch::binaryornot==0.4.4=pyhd3eb1b0_1[md5=986537735cddee7238d27507dd913e08]- defaults/noarch::charset-normalizer==3.3.2=pyhd3eb1b0_0[md5=c6fea3691e85cf7f568b0618ec29fc4f]- defaults/noarch::conda-libmamba-solver==25.4.0=pyhd3eb1b0_0[md5=77ff27567894c7ea3eb908489e5d3e5c]- defaults/noarch::conda-token==0.6.0=pyhd3eb1b0_0[md5=0d771cf079779d282ffb3e60714e17dd]- defaults/noarch::cookiecutter==1.7.3=pyhd3eb1b0_0[md5=8b6abf69da77f4ceef770ac1fdfb9564]- defaults/noarch::cycler==0.11.0=pyhd3eb1b0_0[md5=f5e365d2cdb66d547eb8c3ab93843aab]- defaults/noarch::decorator==5.1.1=pyhd3eb1b0_0[md5=4d969aac32a0faf84af90c797bfc7fec]- defaults/noarch::defusedxml==0.7.1=pyhd3eb1b0_0[md5=d912068b0729930972adcaac338882c0]- defaults/noarch::diff-match-patch==20200713=pyhd3eb1b0_0[md5=8b12a79884f20d2d13a8a3877e8d0d3e]- defaults/noarch::executing==0.8.3=pyhd3eb1b0_0[md5=7be61d1c3c555fb37682b28d7a53d622]- defaults/noarch::gitdb==4.0.7=pyhd3eb1b0_0[md5=bdd15a7149734880c003d98110c56b5b]- defaults/noarch::heapdict==1.0.1=pyhd3eb1b0_0[md5=15616615a6c63c0aa7a17ff2e4caea04]- defaults/noarch::hyperlink==21.0.0=pyhd3eb1b0_0[md5=8b1ba827e0fecc1c857577a3d51aa653]- defaults/noarch::incremental==24.7.2=pyhd3eb1b0_0[md5=d61a867629ff1a8da3ec8d88b4595f2d]- defaults/noarch::iniconfig==1.1.1=pyhd3eb1b0_0[md5=e40edff2c5708f342cef43c7f280c507]- defaults/noarch::intervaltree==3.1.0=pyhd3eb1b0_0[md5=9bf92b7e66bde3d696b51b0bc117c471]- defaults/noarch::itemadapter==0.3.0=pyhd3eb1b0_0[md5=603357585dbfc7eebc83717303f19a67]- defaults/noarch::jaraco.classes==3.2.1=pyhd3eb1b0_0[md5=7f47c66b55e92b2724174847703df72f]- defaults/noarch::jeepney==0.7.1=pyhd3eb1b0_0[md5=f115ef0af90b59f35ef56743955979a4]- defaults/noarch::jinja2-time==0.2.0=pyhd3eb1b0_3[md5=8d0150baf87b7aba7690a278ddbbc2a3]- defaults/noarch::jsonpointer==2.1=pyhd3eb1b0_0[md5=298ff809e733cb04366e4e629c65aa8d]- defaults/noarch::mccabe==0.7.0=pyhd3eb1b0_0[md5=ca1f9fc150b211c60e802ed1b12ed43c]- defaults/noarch::pandocfilters==1.5.0=pyhd3eb1b0_0[md5=5547ced9e3bb4c513405998957b52c7b]- defaults/noarch::pexpect==4.8.0=pyhd3eb1b0_3[md5=765b2562d6cdd14bb6d44fc170a04331]- defaults/noarch::pickleshare==0.7.5=pyhd3eb1b0_1003[md5=4a6363fd8dda664b95f99f7c5aa95abc]- defaults/noarch::pip==25.1=pyhc872135_2[md5=2778327d2a700153fefe0e69438b18e1]- defaults/noarch::poyo==0.5.0=pyhd3eb1b0_0[md5=e950c04251d2e0e1bbed26642a99d08c]- defaults/noarch::prompt_toolkit==3.0.43=hd3eb1b0_0[md5=244c80adf85e37e2a4158d0f0c199566]- defaults/noarch::ptyprocess==0.7.0=pyhd3eb1b0_2[md5=7441d2827d4bfbcc1fa308875a146246]- defaults/noarch::pure_eval==0.2.2=pyhd3eb1b0_0[md5=a87d6d9827e5dff68d34d69971f8a9b1]- defaults/noarch::pyasn1-modules==0.2.8=py_0[md5=9f3232c42eed255f0877d3f7c955e237]- defaults/noarch::pyasn1==0.4.8=pyhd3eb1b0_0[md5=4e3f334c35c33118cbb0f7b546f9fc2f]- defaults/noarch::pybind11-abi==5=hd3eb1b0_0[md5=7f0df6639fdf60ccd3045ee6faedd32f]- defaults/noarch::pycparser==2.21=pyhd3eb1b0_0[md5=135a72ff2a31150a3a3ff0b1edd41ca9]- defaults/noarch::pyls-spyder==0.4.0=pyhd3eb1b0_0[md5=23df66456bc25e608ea377fb20d6008c]- defaults/noarch::python-libarchive-c==5.1=pyhd3eb1b0_0[md5=7952606fde014b712cc9ff33622921bf]- defaults/noarch::python-lsp-jsonrpc==1.1.2=pyhd3eb1b0_0[md5=7bf8923b0a4c929bf15bd93a8246e191]- defaults/noarch::python-slugify==5.0.2=pyhd3eb1b0_0[md5=b2725de307e073b9344af3f2dde66f41]- defaults/noarch::python-tzdata==2025.2=pyhd3eb1b0_0[md5=5ac858f05dbf9d3cdb04d53516901247]- defaults/noarch::pyxdg==0.27=pyhd3eb1b0_0[md5=f0cfd9d548fcfae369342424bc3ea381]- defaults/noarch::qdarkstyle==3.2.3=pyhd3eb1b0_0[md5=b92affb6332947449d0a43eeb162700c]- defaults/noarch::smmap==4.0.0=pyhd3eb1b0_0[md5=ea22ec22100b09799aa81f3e3ef9fa87]- defaults/noarch::snowballstemmer==2.2.0=pyhd3eb1b0_0[md5=c8c10f2cd854c0a27630760958bba60c]- defaults/noarch::sortedcontainers==2.4.0=pyhd3eb1b0_0[md5=e829a94a9bc0b44c8951a56ec6d0be44]- defaults/noarch::sphinxcontrib-applehelp==2.0.0=pyhd3eb1b0_1[md5=dc1e9e85935977c16b57ae458f66c35f]- defaults/noarch::sphinxcontrib-devhelp==2.0.0=pyhd3eb1b0_0[md5=2ac17fc8c58df543e58ba60e5ec84836]- defaults/noarch::sphinxcontrib-htmlhelp==2.1.0=pyhd3eb1b0_0[md5=2b0ff9b31519311c3efb0418ffe90f53]- defaults/noarch::sphinxcontrib-jsmath==1.0.1=pyhd3eb1b0_0[md5=e43f8de7d6a717935ab220a0c957771d]- defaults/noarch::sphinxcontrib-qthelp==2.0.0=pyhd3eb1b0_1[md5=719c3fac1931de3f9fcfeeb36df461bf]- defaults/noarch::sphinxcontrib-serializinghtml==2.0.0=pyhd3eb1b0_0[md5=e5856b5b3e38cb97734ebd28fc06525d]- defaults/noarch::stack_data==0.2.0=pyhd3eb1b0_0[md5=6212968e73726f6da42e5ffcd2bea92d]- defaults/noarch::text-unidecode==1.3=pyhd3eb1b0_0[md5=001a50a0503bd64a26513d2855faacb0]- defaults/noarch::three-merge==0.1.1=pyhd3eb1b0_0[md5=5ae0f5c203a35f7138e0199df9c7d5bc]- defaults/noarch::toml==0.10.2=pyhd3eb1b0_0[md5=cda05f5f6d8509529d1a2743288d197a]- defaults/noarch::tzdata==2025b=h04d1e81_0[md5=1d027393db3427ab22a02aa44a56f143]- defaults/noarch::w3lib==1.21.0=pyhd3eb1b0_0[md5=87c0d13ba63eecf6f4b22a2f965daeb3]- defaults/noarch::wcwidth==0.2.5=pyhd3eb1b0_0[md5=ffa649340272c3f6466ba01da254c3b0]The following NEW packages will be INSTALLED:_anaconda_depends pkgs/main/linux-64::_anaconda_depends-2025.06-py313_mkl_2_libgcc_mutex pkgs/main/linux-64::_libgcc_mutex-0.1-main_openmp_mutex pkgs/main/linux-64::_openmp_mutex-5.1-1_gnuaiobotocore pkgs/main/linux-64::aiobotocore-2.19.0-py313h06a4308_0aiohappyeyeballs pkgs/main/linux-64::aiohappyeyeballs-2.4.4-py313h06a4308_0aiohttp pkgs/main/linux-64::aiohttp-3.11.10-py313h5eee18b_0aioitertools pkgs/main/noarch::aioitertools-0.7.1-pyhd3eb1b0_0aiosignal pkgs/main/noarch::aiosignal-1.2.0-pyhd3eb1b0_0alabaster pkgs/main/linux-64::alabaster-0.7.16-py313h06a4308_0altair pkgs/main/linux-64::altair-5.5.0-py313h06a4308_0anaconda-anon-usa~ pkgs/main/linux-64::anaconda-anon-usage-0.7.1-py313hfc0e8ea_100anaconda-auth pkgs/main/linux-64::anaconda-auth-0.8.6-py313h06a4308_0anaconda-catalogs pkgs/main/linux-64::anaconda-catalogs-0.2.0-py313h06a4308_2anaconda-cli-base pkgs/main/linux-64::anaconda-cli-base-0.5.2-py313h06a4308_0anaconda-client pkgs/main/linux-64::anaconda-client-1.13.0-py313h06a4308_1anaconda-navigator pkgs/main/linux-64::anaconda-navigator-2.6.6-py313h06a4308_2anaconda-project pkgs/main/linux-64::anaconda-project-0.11.1-py313h06a4308_1annotated-types pkgs/main/linux-64::annotated-types-0.6.0-py313h06a4308_0anyio pkgs/main/linux-64::anyio-4.7.0-py313h06a4308_0appdirs pkgs/main/noarch::appdirs-1.4.4-pyhd3eb1b0_0archspec pkgs/main/noarch::archspec-0.2.3-pyhd3eb1b0_0argon2-cffi pkgs/main/noarch::argon2-cffi-21.3.0-pyhd3eb1b0_0argon2-cffi-bindi~ pkgs/main/linux-64::argon2-cffi-bindings-21.2.0-py313h5eee18b_1arrow pkgs/main/linux-64::arrow-1.3.0-py313h06a4308_0arrow-cpp pkgs/main/linux-64::arrow-cpp-19.0.0-h865e1df_2astroid pkgs/main/linux-64::astroid-3.3.8-py313h06a4308_0astropy pkgs/main/linux-64::astropy-7.0.0-py313h5eee18b_0astropy-iers-data pkgs/main/linux-64::astropy-iers-data-0.2025.1.13.0.34.51-py313h06a4308_0asttokens pkgs/main/linux-64::asttokens-3.0.0-py313h06a4308_0async-lru pkgs/main/linux-64::async-lru-2.0.4-py313h06a4308_0asyncssh pkgs/main/linux-64::asyncssh-2.17.0-py313h06a4308_0atomicwrites pkgs/main/noarch::atomicwrites-1.4.0-py_0attrs pkgs/main/linux-64::attrs-24.3.0-py313h06a4308_0automat pkgs/main/linux-64::automat-24.8.1-py313h06a4308_0autopep8 pkgs/main/noarch::autopep8-2.0.4-pyhd3eb1b0_0aws-c-auth pkgs/main/linux-64::aws-c-auth-0.6.19-h5eee18b_0aws-c-cal pkgs/main/linux-64::aws-c-cal-0.5.20-hdbd6064_0aws-c-common pkgs/main/linux-64::aws-c-common-0.8.5-h5eee18b_0aws-c-compression pkgs/main/linux-64::aws-c-compression-0.2.16-h5eee18b_0aws-c-event-stream pkgs/main/linux-64::aws-c-event-stream-0.2.15-h6a678d5_0aws-c-http pkgs/main/linux-64::aws-c-http-0.6.25-h5eee18b_0aws-c-io pkgs/main/linux-64::aws-c-io-0.13.10-h5eee18b_0aws-c-mqtt pkgs/main/linux-64::aws-c-mqtt-0.7.13-h5eee18b_0aws-c-s3 pkgs/main/linux-64::aws-c-s3-0.1.51-hdbd6064_0aws-c-sdkutils pkgs/main/linux-64::aws-c-sdkutils-0.1.6-h5eee18b_0aws-checksums pkgs/main/linux-64::aws-checksums-0.1.13-h5eee18b_0aws-crt-cpp pkgs/main/linux-64::aws-crt-cpp-0.18.16-h6a678d5_0aws-sdk-cpp pkgs/main/linux-64::aws-sdk-cpp-1.11.212-hecad206_0babel pkgs/main/linux-64::babel-2.16.0-py313h06a4308_0bcrypt pkgs/main/linux-64::bcrypt-4.3.0-py313h4aa5aa6_0beautifulsoup4 pkgs/main/linux-64::beautifulsoup4-4.12.3-py313h06a4308_0binaryornot pkgs/main/noarch::binaryornot-0.4.4-pyhd3eb1b0_1black pkgs/main/linux-64::black-24.10.0-py313h06a4308_0blas pkgs/main/linux-64::blas-1.0-mklbleach pkgs/main/linux-64::bleach-6.2.0-py313h06a4308_0blinker pkgs/main/linux-64::blinker-1.9.0-py313h06a4308_0blosc pkgs/main/linux-64::blosc-1.21.3-h6a678d5_0bokeh pkgs/main/linux-64::bokeh-3.6.2-py313h06a4308_0boltons pkgs/main/linux-64::boltons-24.1.0-py313h06a4308_0boost-cpp 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pkgs/main/linux-64::xorg-libxau-1.0.12-h9b100fa_0xorg-libxdmcp pkgs/main/linux-64::xorg-libxdmcp-1.1.5-h9b100fa_0xorg-xorgproto pkgs/main/linux-64::xorg-xorgproto-2024.1-h5eee18b_1xyzservices pkgs/main/linux-64::xyzservices-2022.9.0-py313h06a4308_1xz pkgs/main/linux-64::xz-5.6.4-h5eee18b_1yaml pkgs/main/linux-64::yaml-0.2.5-h7b6447c_0yaml-cpp pkgs/main/linux-64::yaml-cpp-0.8.0-h6a678d5_1yapf pkgs/main/linux-64::yapf-0.40.2-py313h06a4308_0yarl pkgs/main/linux-64::yarl-1.18.0-py313h5eee18b_0zeromq pkgs/main/linux-64::zeromq-4.3.5-h6a678d5_0zict pkgs/main/linux-64::zict-3.0.0-py313h06a4308_0zipp pkgs/main/linux-64::zipp-3.21.0-py313h06a4308_0zlib pkgs/main/linux-64::zlib-1.2.13-h5eee18b_1zlib-ng pkgs/main/linux-64::zlib-ng-2.0.7-h5eee18b_0zope pkgs/main/linux-64::zope-1.0-py313h06a4308_1zope.interface pkgs/main/linux-64::zope.interface-7.1.1-py313h5eee18b_0zstandard pkgs/main/linux-64::zstandard-0.23.0-py313h2c38b39_1zstd pkgs/main/linux-64::zstd-1.5.6-hc292b87_0Downloading and Extracting Packages:Preparing transaction: done
Executing transaction: done
entry_point.py:256: DeprecationWarning: Python 3.14 will, by default, filter extracted tar archives and reject files or modify their metadata. Use the filter argument to control this behavior.
installation finished.
Do you wish to update your shell profile to automatically initialize conda?
This will activate conda on startup and change the command prompt when activated.
If you'd prefer that conda's base environment not be activated on startup,run the following command when conda is activated:conda config --set auto_activate_base falseYou can undo this by running `conda init --reverse $SHELL`? [yes|no]
[no] >>> yes
no change /root/anaconda3/condabin/conda
no change /root/anaconda3/bin/conda
no change /root/anaconda3/bin/conda-env
no change /root/anaconda3/bin/activate
no change /root/anaconda3/bin/deactivate
no change /root/anaconda3/etc/profile.d/conda.sh
no change /root/anaconda3/etc/fish/conf.d/conda.fish
no change /root/anaconda3/shell/condabin/Conda.psm1
no change /root/anaconda3/shell/condabin/conda-hook.ps1
no change /root/anaconda3/lib/python3.13/site-packages/xontrib/conda.xsh
no change /root/anaconda3/etc/profile.d/conda.csh
modified /root/.bashrc==> For changes to take effect, close and re-open your current shell. <==Thank you for installing Anaconda3!
root@DESKTOP-8IU6393:/mnt/e/wslubuntu# conda --version
conda: command not found
root@DESKTOP-8IU6393:/mnt/e/wslubuntu# source ~/.bashrc
(base) root@DESKTOP-8IU6393:/mnt/e/wslubuntu# conda --version
conda 25.5.1
(base) root@DESKTOP-8IU6393:/mnt/e/wslubuntu# python -V
Python 3.13.5
3.1.8 安装wisper环境
mkdir whisper
mkdir whisper/audio
sudo apt install ffmpeg## 创建和激活运行环境
conda create -n whisper python=3.10 -y
conda activate whisper## 安装 openai whisper
pip install -U openai-whisper
3.1.9 vscode 安装wsl插件
3.1.10 vscode 使用wsl插件连接ubuntu
3.1.11 wsl网络模式配置为镜像模式,可能要重启才生效
3.1.12 获得cookies.txt内容
3.2 代码
from yt_dlp import YoutubeDL
import os
import subprocessdef get_parent_cookies():return os.path.join(os.path.dirname(os.path.dirname(__file__)), 'cookies.txt')def extract_video_metadata(url):ydl_opts = {'cookiefile': get_parent_cookies(),'quiet': True,'no_warnings': False,'extract_flat': False,'extractor_args': {'youtube': {'player_client': ['tv_embedded', 'web'],}}}with YoutubeDL(ydl_opts) as ydl:try:info = ydl.extract_info(url, download=False)return infoexcept Exception as e:print(f"提取元数据失败: {e}")return Nonedef download_subtitles(url, info):subtitles = info.get('subtitles', {})if not subtitles:print("\n📝 没有可用字幕,跳过下载和总结。")return Noneprint("\n📝 正在下载所有可用字幕...")ydl_opts = {'cookiefile': get_parent_cookies(),'skip_download': True,'writesubtitles': True,'allsubtitles': True,'subtitlesformat': 'srt','outtmpl': 'downloads/%(title).80s.%(ext)s','quiet': False,}with YoutubeDL(ydl_opts) as ydl:ydl.download([url])# 查找下载的srt字幕文件downloads_dir = os.path.join(os.path.dirname(__file__), 'downloads')srt_files = [f for f in os.listdir(downloads_dir) if f.endswith('.srt')]if not srt_files:print("❌ 没有找到下载的字幕文件")return Nonesrt_path = os.path.join(downloads_dir, srt_files[0])print(f"✅ 已下载字幕: {srt_path}")return srt_pathdef summarize_with_ollama(srt_path):print(f"\n🤖 正在用 ollama 的 qwen3:14b 总结字幕 ...")# 自动安装ollama包(如未安装)try:import ollamaexcept ImportError:import sys, subprocesssubprocess.check_call([sys.executable, '-m', 'pip', 'install', 'ollama'])import ollama# 读取并清洗SRT字幕内容,拼接为段落def srt_to_text(srt_content):import relines = srt_content.splitlines()text_lines = []for line in lines:# 跳过序号和时间轴if re.match(r"^\d+$", line):continueif re.match(r"^\d{2}:\d{2}:\d{2},\d{3} --> ", line):continueif line.strip() == '':continuetext_lines.append(line.strip())# 合并为段落,去重相邻重复from itertools import groupbymerged = [k for k, _ in groupby(text_lines)]return ' '.join(merged)with open(srt_path, 'r', encoding='utf-8') as f:srt_content = f.read()clean_text = srt_to_text(srt_content)# 构造 promptprompt = f"""
你是一名专业的视频内容总结助手,请对下列中文视频字幕内容进行总结。目标:让用户能在30秒内了解这期视频的核心内容。请按以下格式输出:
1. 🎯 本期主要话题(用一句话概括主题)
2. 📌 内容要点(3-5条,每条 1 句话)
3. 🌟 精彩片段或亮点(选出最值得一提的内容,1-2条)⚠️ 不要加入你的思考过程,不要说“我认为”或“可能”,只根据字幕原文总结。字幕内容如下:
———
{clean_text}
———
/no_think
"""try:response = ollama.chat(model='qwen3:14b',messages=[{"role": "user", "content": prompt}])print("\n=== 总结结果 ===\n")print(response['message']['content'])except Exception as e:print(f"调用 ollama 失败: {e}")def main():url = "https://youtu.be/AU9F-6uWCgE"print("🔍 正在提取视频元数据...")info = extract_video_metadata(url)if not info:print("❌ 无法获取视频信息")returnsrt_path = download_subtitles(url, info)if srt_path:summarize_with_ollama(srt_path)if __name__ == "__main__":main()