ComfyUI详细安装教程及简要演示

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介绍ComfyUI

ComfyUI 是一个基于 节点式工作流 的 AI 图像生成工具，主要用于与 Stable Diffusion 等扩散模型配合使用。它通过图形化界面将复杂的图像生成过程分解为多个模块化节点，用户可以通过拖拽和连接节点来构建自定义的工作流程，从而更灵活、高效地生成和编辑图像。

核心特点

节点式工作流（Node-based Workflow）
- 将图像生成过程拆分为多个独立的“节点”（如加载模型、生成图像、调整参数、后处理等）。
- 用户通过拖拽节点并连接它们，形成可视化的工作流，类似编程中的流程图。
- 无需编写代码即可实现复杂的图像生成逻辑。
高效且灵活
- 支持快速迭代和调试：修改某个节点的参数会自动更新后续结果。
- 可组合多种模型（如 Stable Diffusion、ControlNet、IP-Adapter 等）和插件，适应不同需求。
支持多种功能
- 图像生成：文本到图像（Text-to-Image）、图像到图像（Image-to-Image）。
- 图像编辑：局部重绘（Inpainting）、风格迁移、细节增强。
- 视频/动画生成：通过插件支持视频帧处理或动画序列生成。
- 模型管理：支持加载和切换不同版本的 Stable Diffusion 模型。
插件生态丰富
- 社区开发了大量插件（Nodes），例如：
  - ControlNet：通过姿态、边缘图等控制生成结果。
  - IP-Adapter：基于图像的风格迁移。
  - ADetailer：自动检测并增强图像细节。
- 用户可自定义开发节点，扩展功能。
跨平台与开源
- 基于 Python 和 PyTorch 开发，支持 Windows/macOS/Linux。
- 开源社区活跃，文档和教程丰富。

使用场景

艺术家/设计师：快速尝试不同风格和参数组合，生成创意图像。
研究人员：测试模型性能或对比不同算法的效果。
开发者：集成到自动化流程中，或开发自定义插件。
教育领域：教学演示 AI 图像生成的原理和工作流。

ComfyUI 与其他工具的区别

工具	ComfyUI	WebUI (如 Automatic1111)
操作方式	节点式工作流（图形化）	表单式界面（文本输入为主）
灵活性	高（可自由组合节点）	中（预设功能较多）
学习曲线	较高（需理解节点逻辑）	较低（适合快速上手）
适合人群	需要复杂流程或自定义的用户	快速生成图像的普通用户

优势总结

直观可视化：通过节点连接理解图像生成流程。
高效迭代：快速调整参数并查看结果。
无限扩展：丰富的插件生态支持个性化需求。

社区支持：活跃的开源社区提供大量教程和资源。

安装ComfyUI

通过ComfyUI CLI快速安装ComfyUI（推荐）

官方文档：How to install ComfyUI manually in different systems - ComfyUI

Getting Started - ComfyUI

实验环境

操作系统	ubuntu server 24.04.3
型号	thinkstation P3
CPU	Intel(R) Core(TM) i7-14700K
GPU	NVIDIA GeForce RTX 5080 16GB
内存	128GB
硬盘	1TB SSD+2*6TB HDD

这种方式安装ComfyUI比较容易，推荐使用这种方法。官网上没写这种方式是不是支持Windows系统，我没有验证过。建议还是将ComfyUI部署在Linux系统上，因为ComfyUI是用Python语言开发的，而Python对Linux系统的支持更好。

利用ComfyUI CLI安装ComfyUI时，会自动安装好ComfyUI manager

以下是具体操作步骤：

安装好NVIDIA显卡驱动

实验环境中，我用的是ubuntu系统，对于ubuntu系统，其内置的命令可以很好地安装合适的NVIDIA显卡驱动，建议通过这种方式安装驱动，而不是自己用apt或别的方法安装。具体操作请看此文：《ubuntu系统安装或更新驱动程序》

安装conda

请参考此文：《conda，一个开源的软件包管理和环境管理系统》

创建虚拟环境

需要注意的是，默认情况下conda会使用最新稳定版本的Python（写作本文时，最新稳定版本的Python是3.13），然而，有些自定义节点（如Nunchaku）可能还不支持最新版本的Python，建议最好指定上个版本的Python，比如3.12

#注意：如果还没有进入conda的base环境，可以用这条命令进入：eval "$(/home/ubuntu/anaconda3/bin/conda shell.bash hook)"
conda create -n comfy-env

#如果要指定虚拟环境使用的Python版本，可以用下面的命令
conda create -n comfy-env python=3.12

激活虚拟环境

conda activate comfy-env

在conda虚拟环境中安装pip

conda install pip
pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple

可以用此命令确认pip的具体路径：which pip

开始安装ComfyUI CLI

  pip install comfy-cli

获取comfy shell的自动补全

comfy --install-completion

开始安装ComfyUI

comfy install

安装过程中会询问你系统安装的是哪种GPU，因为我用的是NVIDIA显卡，所以我选择第一项“NVIDIA”

启动ComfyUI

在127.0.0.1上监听

#注意，用下行命令启动ComfyUI时，只能在本机访问ComfyUI，因为其监听地址默认为127.0.0.1
comfy launch

在所有ip地址上监听

#下面的命令启动ComfyUI后，所有ip均可以访问ComfyUI
comfy launch -- --listen 0.0.0.0

ComfyUI CLI如何新建一个workspace

用ComfyUI CLI安装好ComfyUI后，其实还可以创建多个workspace，每个workspace有自己独立的models目录、custom-nodes目录，Python版本也可以不同。可简单理解为在同一台主机上安装多个相互独立的无关联的ComfyUI。这对于有些自定义节点对于Python版本有要求的，或者与别的自定义节点冲突的情况，是很好的解决方案。

具体操作如下：

#用conda新创建一个虚拟环境，指定Python版本为3.12
conda create -n comfy-py312 python=3.12 -y
#激活虚拟环境
conda activate comfy-py312
#安装ComfyUI CLI
pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
pip install comfy-cli
#创建workspace目录
mkdir -p ~/comfy-workspaces/py312
#进入新创建的workspace目录
cd ~/comfy-workspaces/py312
#开始安装ComfyUI，安装在新的workspace目录中
comfy --workspace /home/ubuntu/comfy-workspaces/py312/ComfyUI install
#运行ComfyUI
comfy launch -- --listen 0.0.0.0

要想知道当前comfy是哪个workspace以及Python版本等等信息，可以运行此命令：comfy env

可以看到，workspace的目录确实与一开始部署的ComfyUI不同，Python版本号也不同了。

接下来可以安装ComfyUI-nunchaku这个自定义节点了，ComfyUI-nunchaku暂时不支持Python3.13，因此我才特地创建了一个新的workspace，以安装ComfyUI-nunchaku

关于这个节点的详细信息请浏览官网：ComfyUI-nunchaku Documentation — ComfyUI-nunchaku 1.0.1 documentation

#安装必要依赖
sudo apt update
sudo apt install -y libcairo2 libcairo2-dev pkg-config python3-dev build-essential
#安装ComfyUI-nunchaku
#注意：下行命令中的cp312指的是Python的版本，因为虚拟环境中的Python版本为3.12，所以填写cp312，如果是3.11，则应该填写cp311
pip install https://github.com/nunchaku-tech/nunchaku/releases/download/v0.3.1/nunchaku-0.3.1+torch2.8-cp312-cp312-linux_x86_64.whl

Linux（传统方法）

克隆仓库和安装conda

以ubuntu server系统为例

#安装git
sudo apt install git -y
git clone https://github.com/comfyanonymous/ComfyUI.git
#安装conda
curl -O https://repo.anaconda.com/archive/Anaconda3-2025.06-0-Linux-x86_64.sh
bash ~/Anaconda3-2025.06-0-Linux-x86_64.sh

输出如下：

root@iv-ydrr1odszkwh2yo6rxhy:~# sudo apt install git
Reading package lists... Done
Building dependency tree
Reading state information... Done
Suggested packages:
  git-daemon-run | git-daemon-sysvinit git-doc git-el git-email git-gui gitk gitweb git-cvs git-mediawiki git-svn
The following NEW packages will be installed:
  git
0 upgraded, 1 newly installed, 0 to remove and 4 not upgraded.
Need to get 4,613 kB of archives.
After this operation, 36.9 MB of additional disk space will be used.
Get:1 http://mirrors.ivolces.com/ubuntu focal-security/main amd64 git amd64 1:2.25.1-1ubuntu3.14 [4,613 kB]
Fetched 4,613 kB in 0s (68.3 MB/s)
Selecting previously unselected package git.
(Reading database ... 129202 files and directories currently installed.)
Preparing to unpack .../git_1%3a2.25.1-1ubuntu3.14_amd64.deb ...
Unpacking git (1:2.25.1-1ubuntu3.14) ...
Setting up git (1:2.25.1-1ubuntu3.14) ...
root@iv-ydrr1odszkwh2yo6rxhy:~# pwd
/root
root@iv-ydrr1odszkwh2yo6rxhy:~# ls
root@iv-ydrr1odszkwh2yo6rxhy:~# conda create -n comfyenv
conda: command not found
root@iv-ydrr1odszkwh2yo6rxhy:~# conda activate comfyenv
conda: command not found
root@iv-ydrr1odszkwh2yo6rxhy:~# curl -O https://repo.anaconda.com/archive/Anaconda3-2024.10-1-Linux-x86_64.sh
  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                 Dload  Upload   Total   Spent    Left  Speed
100 1051M  100 1051M    0     0  16.5M      0  0:01:03  0:01:03 --:--:-- 17.4M
root@iv-ydrr1odszkwh2yo6rxhy:~# bash ~/Anaconda3-2024.10-1-Linux-x86_64.sh

Welcome to Anaconda3 2024.10-1

In order to continue the installation process, please review the license
agreement.
Please, press ENTER to continue
>>>
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urposes related to these TOS and to the extent necessary to meet Anaconda's legal compliance obligations (including, for audit and anti-fraud purposes). We reserve the right to utilize aggregated data to enhance our Offerings functionality, ensure  compliance, avoid Offering overuse, a
nd derive insights from customer behavior, in strict adherence to our Privacy Policy.
6.2 Processing Customer Data. The ordinary operation of certain Offerings requires Customer Data to pass through Anaconda's network. To the extent that Anaconda processes Customer Data on your behalf that includes Personal Data, Anaconda will handle such Personal Data in compliance wit
h our Data Processing Addendum.
6.3 Privacy Policy.  If You obtained the Offering under these TOS, the conditions pertaining to the handling of your Personal Data, as described in our Privacy Policy, shall govern. However, in instances where your offering acquisition is executed through a Custom Agreement, the terms
articulated within our Data Processing Agreement ("DPA") shall take precedence over our Privacy Policy concerning data processing matters.
6.4 Aggregated  Data. Anaconda retains all right, title, and interest in the models, observations, reports, analyses, statistics, databases, and other information created, compiled, analyzed, generated or derived by Anaconda from platform, network, or traffic data in the course of prov
iding the Offerings ("Aggregated Data"). To the extent the Aggregated Data includes any Personal Data, Anaconda will handle such Personal Data in compliance with applicable data protection laws and the Privacy Policy or DPA, as applicable.
6.5 Offering Security. Anaconda will implement industry standard security safeguards for the protection of Customer Confidential Information, including any Customer Content originating or transmitted from or processed by the Offerings and/or cached on or within Anaconda's network and s
tored within the Offerings in accordance with its policies and procedures. These safeguards include commercially reasonable administrative, technical, and organizational measures to protect Customer Content against destruction, loss, alteration, unauthorized disclosure, or unauthorized
 access, including such things as information security policies and procedures, security awareness training, threat and vulnerability management, incident response and breach notification, and vendor risk management procedures.
7. SUPPORT
7.1 Support Services. Anaconda offers Support Services that may be included with an Offering. Anaconda will provide the purchased level of Support Services in accordance with the terms of the Support Policy as detailed in the applicable Order. Unless ordered, Anaconda shall have no res
ponsibility to deliver Support Services to You. The Support Service Levels and Tiers are described in the relevant Support Policy, found here.
7.2 Information Backups. You are aware of the risk that Your Content may be lost or irreparably damaged due to faults, suspension, or termination. While we might back up data, we cannot guarantee these backups will occur to meet your frequency needs or ensure successful recovery of You
r Content. It is your obligation to back up any Content you wish to preserve. We bear no legal liability for the loss or damage of Your Content.
8. OWNERSHIP & INTELLECTUAL PROPERTY
8.1 General. Unless agreed in writing, nothing in these TOS transfers ownership in, or grants any license to, any Intellectual Property Rights.
8.2 Feedback. Anaconda may use any feedback You provide in connection with Your use of the Anaconda Offering(s) as part of its business operations. You hereby agree that any feedback provided to Anaconda will be the intellectual property of Anaconda without compensation to the provider
, author, creator, or inventor of providing the feedback.
8.3 DMCA Compliance. You agree to adhere to our Digital Millennium Copyright Act (DMCA) policies established in our Acceptable Use Policy.
9. CONFIDENTIAL INFORMATION
9.1 Confidential Information. In connection with these TOS and the Offerings (including the evaluation thereof), each Party ("Discloser") may disclose to the other Party ("Recipient"), non-public business, product, technology and marketing information, including without limitation, cus
tomers lists and information, know-how, software and any other non-public information that is either identified as such or should reasonably be understood to be confidential given the nature of the information and the circumstances of disclosure, whether disclosed prior or after the Ef
fective Date ("Confidential Information"). For the avoidance of doubt, (i) Customer Data is regarded as your Confidential Information, and (ii) our Offerings, including Beta Offerings, and inclusive of their underlying technology, and their respective performance information, as well a
s any data, reports, and materials we provided to You in connection with your evaluation or use of the Offerings, are regarded as our Confidential Information. Confidential Information does not include information that (a) is or becomes generally available to the public without breach
of any obligation owed to the Discloser; (b) was known to the Recipient prior to its disclosure by the Discloser without breach of any obligation owed to the Discloser; (c) is received from a third party without breach of any obligation owed to the Discloser; or (d) was independently d
eveloped by the Recipient without any use or reference to the Confidential Information.
9.2 Confidentiality Obligations. The Recipient will (i) take at least reasonable measures to prevent the unauthorized disclosure or use of Confidential Information, and limit access to those employees, affiliates, service providers and agents, on a need to know basis and who are bound
by confidentiality obligations at least as restrictive as those contained herein; and (ii) not use or disclose any Confidential Information to any third party, except as part of its performance under these TOS and to consultants and advisors to such party, provided that any such disclo
sure shall be governed by confidentiality obligations at least as restrictive as those contained herein.
9.3 Compelled Disclosure. Notwithstanding the above, Confidential Information may be disclosed pursuant to the order or requirement of a court, administrative agency, or other governmental body; provided, however, that to the extent legally permissible, the Recipient shall make best ef
forts to provide prompt written notice of such court order or requirement to the Discloser to enable the Discloser to seek a protective order or otherwise prevent or restrict such disclosure.
10. INDEMNIFICATION
10.1 By Customer. Customer hereby agree to indemnify, defend and hold harmless Anaconda and our Affiliates and their respective officers, directors, employees and agents from and against any and all claims, damages, obligations, liabilities, losses, reasonable expenses or costs incurre
d as a result of any third party claim arising from (i) You and/or any of your Authorized Users', violation of these TOS or applicable law; and/or (ii) Customer Data and/or Customer Content, including the use of Customer Data and/or Customer Content by Anaconda and/or any of our subcon
tractors, which infringes or violates, any third party's rights, including, without limitation, Intellectual Property Rights.
10.2 By Anaconda. Anaconda will defend any third party claim against You that Your valid use of Anaconda Offering(s) under Your Order infringes a third party's U.S. patent, copyright or U.S. registered trademark (the "IP Claim"). Anaconda will indemnify You against the final judgment e
ntered by a court of competent jurisdiction or any settlements arising out of an IP Claim, provided that You:  (a) promptly notify Anaconda in writing of the IP Claim;  (b) fully cooperate with Anaconda in the defense of the IP Claim; and (c) grant Anaconda the right to exclusively con
trol the defense and settlement of the IP Claim, and any subsequent appeal. Anaconda will have no obligation to reimburse You for Your attorney fees and costs in connection with any IP Claim for which Anaconda is providing defense and indemnification hereunder. You, at Your own expense
, may retain Your own legal representation.
10.3 Additional Remedies. If an IP Claim is made and prevents Your exercise of the Usage Rights, Anaconda will either procure for You the right to continue using the Anaconda Offering(s), or replace or modify the Anaconda Offering(s) with functionality that is non-infringing. Only if A
naconda determines that these alternatives are not reasonably available, Anaconda may terminate Your Usage Rights granted under these TOS upon written notice to You and will refund You a prorated portion of the fee You paid for the Anaconda Offering(s) for the remainder of the unexpire
d Usage Term.
10.4 Exclusions.  Anaconda has no obligation regarding any IP Claim based on: (a) compliance with any designs, specifications, or requirements You provide or a third party provides; (b) Your modification of any Anaconda Offering(s) or modification by a third party; (c) the amount or du
ration of use made of the Anaconda Offering(s), revenue You earned, or services You offered; (d) combination, operation, or use of the Anaconda Offering(s) with non-Anaconda products, software or business processes; (e) Your failure to modify or replace the Anaconda Offering(s) as requ
ired by Anaconda; or (f) any Anaconda Offering(s) provided on a no charge, beta or evaluation basis; or (g) your use of the Open Source Software and/or Third Party Services made available to You within the Anaconda Offerings.
10.5 Exclusive Remedy. This Section 9 (Indemnification) states Anaconda's entire obligation and Your exclusive remedy regarding any IP Claim against You.
11. LIMITATION OF LIABILITY
11.1 Limitation of Liability. Neither Party will be liable for indirect, incidental, exemplary, punitive, special or consequential damages; loss or corruption of data or interruption or loss of business; or loss of revenues, profits, goodwill or anticipated sales or savings except as a
 result of violation of Anaconda's Intellectual Property Rights. Except as a result of violation of Anaconda's Intellectual Property Rights, the maximum aggregate liability of each party under these TOS is limited to: (a) for claims solely arising from software licensed on a perpetual
basis, the fees received by Anaconda for that Offering; or (b) for all other claims, the fees received by Anaconda for the applicable Anaconda Offering and attributable to the 12 month period immediately preceding the first claim giving rise to such liability; provided if no fees have
been received by Anaconda, the maximum aggregate liability shall be one hundred US dollars ($100). This limitation of liability applies whether the claims are in warranty, contract, tort (including negligence), infringement, or otherwise, even if either party has been advised of the po
ssibility of such damages. Nothing in these TOS limits or excludes any liability that cannot be limited or excluded under applicable law. This limitation of liability is cumulative and not per incident.
12. FEES & PAYMENT
12.1 Fees. Orders for the Anaconda Offering(s) are non-cancellable. Fees for Your use of an Anaconda Offering are set out in Your Order or similar purchase terms with Your Approved Source. If payment is not received within the specified payment terms, any overdue and unpaid balances wi
ll be charged interest at a rate of five percent (5%) per month, charged daily until the balance is paid.
12.2 Billing. You agree to provide us with updated, accurate, and complete billing information, and You hereby authorize Anaconda, either directly or through our payment processing service or our Affiliates, to charge the applicable Fees set forth in Your Order via your selected paymen
t method, upon the due date. Unless expressly set forth herein, the Fees are non-cancelable and non-refundable. We reserve the right to change the Fees at any time, upon notice to You if such change may affect your existing Subscriptions or other renewable services upon renewal. In the
 event of failure to collect the Fees You owe, we may, at our sole discretion (but shall not be obligated to), retry to collect at a later time, and/or suspend or cancel the Account, without notice. If You pay fees by credit card, Anaconda will charge the credit card in accordance with
 Your Subscription plan. You remain liable for any fees which are rejected by the card issuer or charged back to Anaconda.
12.3 Taxes. The Fees are exclusive of any and all taxes (including without limitation, value added tax, sales tax, use tax, excise, goods and services tax, etc.), levies, or duties, which may be imposed in respect of these TOS and the purchase or sale, of the Offerings or other service
s set forth in the Order (the "Taxes"), except for Taxes imposed on our income.
12.4 Payment Through Anaconda Partner. If You purchased an Offering from an Anaconda Partner or other Approved Source, then to the extent there is any conflict between these TOS and any terms of service entered between You and the respective Partner, including any purchase order, then,
 as between You and Anaconda, these TOS shall prevail. Any rights granted to You and/or any of the other Users in a separate agreement with a Partner which are not contained in these TOS, apply only in connection vis a vis the Partner.
13. TERM, TERMINATION & SUSPENSION
13.1 Subscription Term. The Offerings are provided on a subscription basis for the term specified in your Order (the "Subscription Term"). The termination or suspension of an individual Order will not terminate or suspend any other Order. If these TOS are terminated in whole, all outst
anding Order(s) will terminate.
13.2 Subscription Auto-Renewal. To prevent interruption or loss of service when using the Offerings or any Subscription and Support Services will renew automatically, unless You cancel your license to the Offering, Subscription or Support Services agreement prior to their expiration.
13.3 Termination. If a party materially breaches these TOS and does not cure that breach within 30 days after receipt of written notice of the breach, the non-breaching party may terminate these TOS for cause.  Anaconda may immediately terminate your Usage Rights if You breach Section
1 (Access & Use), Section 4 (Open Source, Content & Applications), Section 8 (Ownership & Intellectual Property) or Section 16.10 (Export) or any of the Offering Descriptions.
13.4 Survival. Section 8 (Ownership & Intellectual Property), Section 6.4 (Aggregated Data), Section 9 (Confidential Information), Section 9.3 (Warranty Disclaimer), Section 12 (Limitation of Liability), Section 14 (Term, Termination & Suspension),  obligations to make payment under Se
ction 13 which accrued prior to termination (Fees & Payment), Section 14.4 (Survival), Section 14.5 (Effect of Termination), Section 15 (Records, User Count) and Section 16 (General Provisions) survive termination or expiration of these TOS.
13.5 Effect of Termination. Upon termination of the TOS, You must stop using the Anaconda Offering(s) and destroy any copies of Anaconda Proprietary Technology and Confidential Information within Your control. Upon Anaconda's termination of these TOS for Your material breach, You will
pay Anaconda or the Approved Source any unpaid fees through to the end of the then-current Usage Term. If You continue to use or access any Anaconda Offering(s) after termination, Anaconda or the Approved Source may invoice You, and You agree to pay, for such continued use. Anaconda ma
y require evidence of compliance with this Section 13. Upon request, you agree to provide evidence of compliance to Anaconda demonstrating that all proprietary Anaconda Offering(s) or components thereof have been removed from your systems. Such evidence may be in the form of a system s
can report or other similarly detailed method.
13.6 Excessive Usage. We shall have the right to throttle or restrict Your access to the Offerings where we, at our sole discretion, believe that You and/or any of your Authorized Users, have misused the Offerings or otherwise use the Offerings in an excessive manner compared to the an
ticipated standard use (at our sole discretion) of the Offerings, including, without limitation, excessive network traffic and bandwidth, size and/or length of Content, quality and/or format of Content, sources of Content, volume of download time, etc.
14. RECORDS, USER COUNT
14.1 Verification Records. During the Usage Term and for a period of thirty six (36) months after its expiry or termination, You will take reasonable steps to maintain complete and accurate records of Your use of the Anaconda Offering(s) sufficient to verify compliance with these TOS (
"Verification Records"). Upon reasonable advance notice, and no more than once per 12 month period unless the prior review showed a breach by You, You will, within thirty (30) days from Anaconda's notice, allow Anaconda and/or its auditors access to the Verification Records and any app
licable books, systems (including Anaconda product(s) or other equipment), and accounts during Your normal business hours.
14.2 Quarterly User Count. In accordance with the pricing structure stipulated within the relevant Order Form and this Agreement, in instances where the pricing assessment is contingent upon the number of users, Anaconda will conduct a periodic true-up on  a quarterly basis to ascertai
n the alignment between the actual number of users utilizing the services and the initially reported user count, and to assess for any unauthorized or noncompliant usage.
14.3 Penalties for Overage or Noncompliant Use.  Should the actual user count exceed the figure initially provided, or unauthorized usage is uncovered, the contracting party shall remunerate the difference to Anaconda, encompassing the additional users or noncompliant use in compliance
 with Anaconda's then-current pricing terms. The payment for such difference shall be due in accordance with the invoicing and payment provisions specified in these TOS and/or within the relevant Order and the Agreement. In the event there is no custom commercial agreement beyond these
 TOS between You and Anaconda at the time of a true-up pursuant to Section 13.2, and said true-up uncovers unauthorized or noncompliant usage, You will remunerate Anaconda via a back bill for any fees owed as a result of all unauthorized usage after April of 2020.  Fees may be waived b
y Anaconda at its discretion.
15. GENERAL PROVISIONS
15.1 Order of Precedence. If there is any conflict between these TOS and any Offering Description expressly referenced in these TOS, the order of precedence is: (a) such Offering Description;  (b) these TOS (excluding the Offering Description and any Anaconda policies); then (c) any ap
plicable Anaconda policy expressly referenced in these TOS and any agreement expressly incorporated by reference.  If there is a Custom Agreement, the Custom Agreement shall control over these TOS.
15.2 Entire Agreement. These TOS are the complete agreement between the parties regarding the subject matter of these TOS and supersedes all prior or contemporaneous communications, understandings or agreements (whether written or oral) unless a Custom Agreement has been executed where
, in such case, the Custom Agreement shall continue in full force and effect and shall control.
15.3 Modifications to the TOS. Anaconda may change these TOS or any of its components by updating these TOS on legal.anaconda.com/terms-of-service. Changes to the TOS apply to any Orders acquired or renewed after the date of modification.
15.4 Third Party Beneficiaries. These TOS do not grant any right or cause of action to any third party.
15.5 Assignment. Anaconda may assign this Agreement to (a) an Affiliate; or (b) a successor or acquirer pursuant to a merger or sale of all or substantially all of such party's assets at any time and without written notice. Subject to the foregoing, this Agreement will be binding upon
and will inure to the benefit of Anaconda and their respective successors and permitted assigns.
15.6 US Government End Users. The Offerings and Documentation are deemed to be "commercial computer software" and "commercial computer software documentation" pursuant to FAR 12.212 and DFARS 227.7202. All US Government end users acquire the Offering(s) and Documentation with only thos
e rights set forth in these TOS. Any provisions that are inconsistent with federal procurement regulations are not enforceable against the US Government. In no event shall source code be provided or considered to be a deliverable or a software deliverable under these TOS.
15.7 Anaconda Partner Transactions. If You purchase access to an Anaconda Offering from an Anaconda Partner, the terms of these TOS apply to Your use of that Anaconda Offering and prevail over any inconsistent provisions in Your agreement with the Anaconda Partner.
15.8 Children and Minors. If You are under 18 years old, then by entering into these TOS You explicitly stipulate that (i) You have legal capacity to consent to these TOS or Your parent or legal guardian has done so on Your behalf;  (ii) You understand the Anaconda Privacy Policy; and
(iii) You understand that certain underage users are strictly prohibited from using certain features and functionalities provided by the Anaconda Offering(s). You may not enter into these TOS if You are under 13 years old.  Anaconda does not intentionally seek to collect or solicit per
sonal information from individuals under the age of 13. In the event we become aware that we have inadvertently obtained personal information from a child under the age of 13 without appropriate parental consent, we shall expeditiously delete such information. If applicable law allows
the utilization of an Offering with parental consent, such consent shall be demonstrated in accordance with the prescribed process outlined by Anaconda's Privacy Policy for obtaining parental approval.
15.9 Compliance with Laws.  Each party will comply with all laws and regulations applicable to their respective obligations under these TOS.
15.10 Export. The Anaconda Offerings are subject to U.S. and local export control and sanctions laws. You acknowledge and agree to the applicability of and Your compliance with those laws, and You will not receive, use, transfer, export or re-export any Anaconda Offerings in a way that
 would cause Anaconda to violate those laws. You also agree to obtain any required licenses or authorizations.  Without limiting the foregoing, You may not acquire Offerings if: (1) you are in, under the control of, or a national or resident of Cuba, Iran, North Korea, Sudan or Syria o
r if you are on the U.S. Treasury Department's Specially Designated Nationals List or the U.S. Commerce Department's Denied Persons List, Unverified List or Entity List or (2) you intend to supply the acquired goods, services or software to Cuba, Iran, North Korea, Sudan or Syria (or a
 national or resident of one of these countries) or to a person on the Specially Designated Nationals List, Denied Persons List, Unverified List or Entity List.
15.11 Governing Law and Venue. THESE TOS, AND ANY DISPUTES ARISING FROM THEM, WILL BE GOVERNED EXCLUSIVELY BY THE GOVERNING LAW OF DELAWARE AND WITHOUT REGARD TO CONFLICTS OF LAWS RULES OR THE UNITED NATIONS CONVENTION ON THE INTERNATIONAL SALE OF GOODS. EACH PARTY CONSENTS AND SUBMITS
 TO THE EXCLUSIVE JURISDICTION OF COURTS LOCATED WITHIN THE STATE OF DELAWARE.  EACH PARTY DOES HEREBY WAIVE HIS/HER/ITS RIGHT TO A TRIAL BY JURY, TO PARTICIPATE AS THE MEMBER OF A CLASS IN ANY PURPORTED CLASS ACTION OR OTHER PROCEEDING OR TO NAME UNNAMED MEMBERS IN ANY PURPORTED CLASS
 ACTION OR OTHER PROCEEDINGS. You acknowledge that any violation of the requirements under Section 4 (Ownership & Intellectual Property) or Section 7 (Confidential Information) may cause irreparable damage to Anaconda and that Anaconda will be entitled to seek injunctive and other equi
table or legal relief to prevent or compensate for such unauthorized use.
15.12 California Residents. If you are a California resident, in accordance with Cal. Civ. Code subsection 1789.3, you may report complaints to the Complaint Assistance Unit of the Division of Consumer Services of the California Department of Consumer Affairs by contacting them in writ
ing at 1625 North Market Blvd., Suite N 112, Sacramento, CA 95834, or by telephone at (800) 952-5210.
15.13 Notices. Any notice delivered by Anaconda to You under these TOS will be delivered via email, regular mail or postings on www.anaconda.com. Notices to Anaconda should be sent to Anaconda, Inc., Attn: Legal at 1108 Lavaca Street, Suite 110-645 Austin, TX 78701 and legal@anaconda.c
om.
15.14 Publicity. Anaconda reserves the right to reference You as a customer and display your logo and name on our website and other promotional materials for marketing purposes. Any display of your logo and name shall be in compliance with Your branding guidelines, if provided  by noti
ce pursuant to Section 14.12 by You. Except as provided in this Section 14.13 or by separate mutual written agreement, neither party will use the logo, name or trademarks of the other party or refer to the other party in any form of publicity or press release without such party's prior
 written approval.
15.15 Force Majeure. Except for payment obligations, neither Party will be responsible for failure to perform its obligations due to an event or circumstances beyond its reasonable control.
15.16 No Waiver; Severability. Failure by either party to enforce any right under these TOS will not waive that right. If any portion of these TOS are not enforceable, it will not affect any other terms.
15.17 Electronic Signatures.  IF YOUR ACCEPTANCE OF THESE TERMS FURTHER EVIDENCED BY YOUR AFFIRMATIVE ASSENT TO THE SAME (E.G., BY A "CHECK THE BOX" ACKNOWLEDGMENT PROCEDURE), THEN THAT AFFIRMATIVE ASSENT IS THE EQUIVALENT OF YOUR ELECTRONIC SIGNATURE TO THESE TERMS.  HOWEVER, FOR THE
AVOIDANCE OF DOUBT, YOUR ELECTRONIC SIGNATURE IS NOT REQUIRED TO EVIDENCE OR FACILITATE YOUR ACCEPTANCE AND AGREEMENT TO THESE TERMS, AS YOU AGREE THAT THE CONDUCT DESCRIBED IN THESE TOS AS RELATING TO YOUR ACCEPTANCE AND AGREEMENT TO THESE TERMS ALONE SUFFICES.
16. DEFINITIONS
"Affiliate" means any corporation or legal entity that directly or indirectly controls, or is controlled by, or is under common control with the relevant party, where "control" means to: (a) own more than 50% of the relevant party; or (b) be able to direct the affairs of the relevant p
arty through any lawful means (e.g., a contract that allows control).
"Anaconda" "we" "our" or "us" means Anaconda, Inc. or its applicable Affiliate(s).
"Anaconda Content" means any:  Anaconda Content includes geographic and domain information, rules, signatures, threat intelligence and data feeds and Anaconda's compilation of suspicious URLs.
"Anaconda Partner" or "Partner" means an Anaconda authorized reseller, distributor or systems integrator authorized by Anaconda to sell Anaconda Offerings.
"Anaconda Offering" or "Offering" means the Anaconda Services, Anaconda software, Documentation, software development kits ("SDKs"), application programming interfaces ("APIs"), and any other items or services provided by Anaconda any Upgrades thereto under the terms of these TOS, the
relevant Offering Descriptions, as identified in the relevant Order, and/or any updates thereto.
"Anaconda Proprietary Technology" means any software, code, tools, libraries, scripts, APIs, SDKs, templates, algorithms, data science recipes (including any source code for data science recipes and any modifications to such source code), data science workflows, user interfaces, links,
 proprietary methods and systems, know-how, trade secrets, techniques, designs, inventions, and other tangible or intangible technical material, information and works of authorship underlying or otherwise used to make available the Anaconda Offerings including, without limitation, all
Intellectual Property Rights therein and thereto.
"Anaconda Service" means Support Services and any other consultation or professional services provided by or on behalf of Anaconda under the terms of the Agreement, as identified in the applicable Order and/or SOW.
"Approved Source" means Anaconda or an Anaconda Partner.
"Anonymized Data" means any Personal Data (including Customer Personal Data) and data regarding usage trends and behavior with respect to Offerings, that has been anonymized such that the Data Subject to whom it relates cannot be identified, directly or indirectly, by Anaconda or any o
ther party reasonably likely to receive or access that anonymized Personal Data or usage trends and behavior.
"Authorized Users" means Your Users, Your Affiliates who have been identified to Anaconda and approved, Your third-party service providers, and each of their respective Users who are permitted to access and use the Anaconda Offering(s) on Your behalf as part of Your Order.
"Beta Offerings" Beta Offerings means any portion of the Offerings offered on a "beta" basis, as designated by Anaconda, including but not limited to, products, plans, services, and platforms.
"Content" means Packages, components, applications, services, data, content, or resources, which are available for download access or use through the Offerings, and owned by third-party providers, defined herein as Third Party Content, or Anaconda, defined herein as Anaconda Content.
"Documentation" means the technical specifications and usage materials officially published by Anaconda specifying the functionalities and capabilities of the applicable Anaconda Offerings.
"Educational Entities" means educational organizations, classroom learning environments, or academic instructional organizations.
"Fees" mean the costs and fees for the Anaconda Offerings(s) set forth within the Order and/or SOW, or any fees due immediately when purchasing via the web-portal.
"Government Entities" means any body, board, department, commission, court, tribunal, authority, agency or other instrumentality of any such government or otherwise exercising any executive, legislative, judicial, administrative or regulatory functions of any Federal, State, or local g
overnment (including multijurisdictional agencies, instrumentalities, and entities of such government)
"Internal Use" means Customer's use of an Offering for Customer's own internal operations, to perform Python/R data science and machine learning on a single platform from Customer's systems, networks, and devices. Such use does not include use on a service bureau basis or otherwise to
provide services to, or process data for, any third party, or otherwise use to monitor or service the systems, networks, and devices of third parties.
"Intellectual Property Rights" means any and all now known or hereafter existing worldwide: (a) rights associated with works of authorship, including copyrights, mask work rights, and moral rights; (b) trademark or service mark rights; (c) Confidential Information, including trade secr
et rights; (d) patents, patent rights, and industrial property rights; (e) layout design rights, design rights, and other proprietary rights of every kind and nature other than trade dress, and similar rights; and (f) all registrations, applications, renewals, extensions, or reissues o
f the foregoing.
"Malicious Code" means code designed or intended to disable or impede the normal operation of, or provide unauthorized access to, networks, systems, Software or Cloud Services other than as intended by the Anaconda Offerings (for example, as part of some of Anaconda's Security Offering
(s).
"Mirror" or "Mirroring" means the unauthorized or authorized act of duplicating, copying, or replicating an Anaconda Offering,  (e.g. repository, including its contents, files, and data),, from Anaconda's servers to another location. If Mirroring is not performed under a site license,
or by written authorization by Anaconda, the Mirroring constitutes a violation of Anaconda's Terms of Service and licensing agreements.
"Offering Description"' means a legally structured and detailed description outlining the features, specifications, terms, and conditions associated with a particular product, service, or offering made available to customers or users. The Offering Description serves as a legally bindin
g document that defines the scope of the offering, including pricing, licensing terms, usage restrictions, and any additional terms and conditions.
"Order" or "Order Form"  means a legally binding document, website page, or electronic mail that outlines the specific details of Your purchase of Anaconda Offerings or Anaconda Services, including but not limited to product specifications, pricing, quantities, and payment terms either
 issued by Anaconda or from an Approved Source.
"Personal Data" Refers to information falling within the definition of 'personal data' and/or 'personal information' as outlined by Relevant Data Protection Regulations, such as a personal identifier (e.g., name, last name, and email), financial information (e.g., bank account numbers)
 and online identifiers (e.g., IP addresses, geolocation.
"Relevant Data Protection Regulations" mean, as applicable, (a) Personal Information Protection and Electronic Documents Act (S.C. 2000, c. 5) along with any supplementary or replacement bills enacted into law by the Government of Canada (collectively "PIPEDA"); (b) the General Data Pr
otection Regulation (Regulation (EU) 2016/679) and applicable laws by EU member states which either supplement or are necessary to implement the GDPR (collectively "GDPR"); (c) the California Consumer Privacy Act of 2018 (Cal. Civ. Code subsection 1798.198(a)), along with its various a
mendments (collectively "CCPA"); (d) the GDPR as applicable under section 3 of the European Union (Withdrawal) Act 2018 and as amended by the Data Protection, Privacy and Electronic Communications (Amendments etc.) (EU Exit) Regulations 2019 (as amended) (collectively "UK GDPR"); (e) t
he Swiss Federal Act on Data Protection  of June 19, 1992 and as it may be revised from time to time (the "FADP"); and (f) any other applicable law related to the protection of Personal Data.
"Site License'' means a License that confers Customer the right to use Anaconda Offerings throughout an organization, encompassing authorized Users without requiring individual licensing arrangements. Site Licenses have limits based on company size as set forth in a relevant Order, and
 do not cover future assignment of Users through mergers and acquisitions unless otherwise specified in writing by Anaconda.
"Software" means the Anaconda Offerings, including Upgrades, firmware, and applicable Documentation.
"Subscription" means the payment of recurring Fees for accessing and using Anaconda's Software and/or an Anaconda Service over a specified period. Your subscription grants you the right to utilize our products, receive updates, and access support, all in accordance with our terms and c
onditions for such Offering.
"Subscription Fees" means the costs and Fees associated with a Subscription.
"Support Services" means the support and maintenance services provided by Anaconda to You in accordance with the relevant support and maintenance policy ("Support Policy") located at legal.anaconda.com/support-policy.
"Third Party Services" means external products, applications, or services provided by entities other than Anaconda. These services may be integrated with or used in conjunction with Anaconda's offerings but are not directly provided or controlled by Anaconda.
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"Usage Term" means the period commencing on the date of delivery and continuing until expiration or termination of the Order, during which period You have the right to use the applicable Anaconda Offering.
"User"  means the individual, system (e.g. virtual machine, automated system, server-side container, etc.) or organization that (a) has visited, downloaded or used the Offerings(s), (b) is using the Offering or any part of the Offerings(s), or (c) directs the use of the Offerings(s) in
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"Version" means the Offering configuration identified by a numeric representation, whether left or right of the decimal place.
OFFERING DESCRIPTION: ANACONDA DISTRIBUTION INSTALLER


This Offering Description describes Anaconda Distribution Installer (hereinafter the "Distribution"). Your use of the Distribution is governed by this Offering Description, and the Anaconda Terms of Service (the "TOS", available at https://legal.anaconda.com/policies/en/?name=terms-of-
service), collectively the "Agreement" between you ("You") and Anaconda, Inc. ("We" or "Anaconda"). In the event of a conflict, the order of precedence is as follows: 1) this Offering Description; 2) if applicable, a Custom Agreement; and 3) the TOS if no Custom Agreement is in place.
Capitalized terms used in this Offering Description and/or the Order not otherwise defined herein, including in Section 6 (Definitions), have the meaning given to them in the TOS or Custom Agreement, as applicable. Anaconda may, at any time, terminate this Agreement and the license gra
nted hereunder if you fail to comply with any term of this Agreement. Anaconda reserves all rights not expressly granted to you in this Agreement.


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Version 4.0 | Last Modified: March 31, 2024 | ANACONDA TOS


Do you accept the license terms? [yes|no]
>>> yes

Anaconda3 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 ...

Installing base environment...


Downloading and Extracting Packages:


## Package Plan ##

  environment location: /root/anaconda3

  added / updated specs:
    - defaults/linux-64::_anaconda_depends==2024.10=py312_mkl_0[md5=c9ba3a4910c6668be6c04058513aca5d]
    - 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==2.12.3=py312h06a4308_0[md5=b54b2fa16e83039c4398d0b1d16c8cd9]
    - defaults/linux-64::aiohappyeyeballs==2.4.0=py312h06a4308_0[md5=305f03cf0cb08197bafad774073c8880]
    - defaults/linux-64::aiohttp==3.10.5=py312h5eee18b_0[md5=442b1f6b84684ca9bc6fdcd2d5ed7d40]
    - defaults/linux-64::alabaster==0.7.16=py312h06a4308_0[md5=67972d62839c54349ef3e627be0ddaba]
    - defaults/linux-64::altair==5.0.1=py312h06a4308_0[md5=b81495a45521633a7c586b60bf76985a]
    - defaults/linux-64::anaconda-anon-usage==0.4.4=py312hfc0e8ea_100[md5=97f7e102a7075404bbcb7e801b260e3a]
    - defaults/linux-64::anaconda-catalogs==0.2.0=py312h06a4308_1[md5=6f635d270eb79272321cd7c2e704c0fc]
    - defaults/linux-64::anaconda-client==1.12.3=py312h06a4308_0[md5=d33315f185d898f6dee5ecbe651294b7]
    - defaults/linux-64::anaconda-cloud-auth==0.5.1=py312h06a4308_0[md5=c7d897f4b80489abaee430204e58d969]
    - defaults/linux-64::anaconda-navigator==2.6.3=py312h06a4308_0[md5=63f436a1925ec31b8d4c7ca25ecfd271]
    - defaults/linux-64::anaconda-project==0.11.1=py312h06a4308_0[md5=16520b6f4180b86470df45d25ca453e2]
    - defaults/linux-64::annotated-types==0.6.0=py312h06a4308_0[md5=03aa1a636640f8f94febe4779e5d37a7]
    - defaults/linux-64::anyio==4.2.0=py312h06a4308_0[md5=d992c4775da6f3ccb1223d71abe67de9]
    - defaults/linux-64::aom==3.6.0=h6a678d5_0[md5=bcd807dd3ca7678f34512989418743f6]
    - defaults/linux-64::argon2-cffi-bindings==21.2.0=py312h5eee18b_0[md5=ed4180dcd3e7c19a9c06a86510ad1ae7]
    - defaults/linux-64::arrow-cpp==16.1.0=hc1eb8f0_0[md5=65fc05a323fc93a126839877625146df]
    - defaults/linux-64::arrow==1.2.3=py312h06a4308_1[md5=cc339dab259fe195a1442bead73f5578]
    - defaults/linux-64::astroid==2.14.2=py312h06a4308_0[md5=41806e85b22a7edcd25b4af6c23d5a28]
    - defaults/linux-64::astropy-iers-data==0.2024.9.2.0.33.23=py312h06a4308_0[md5=f07094cf7edc056a49837b5a2fb387b7]
    - defaults/linux-64::astropy==6.1.3=py312h5eee18b_0[md5=dffb7f6929dacc2cd80cfce33a377a90]
    - defaults/linux-64::async-lru==2.0.4=py312h06a4308_0[md5=2806b5842bb2478e127c99feb82a6a88]
    - defaults/linux-64::attrs==23.1.0=py312h06a4308_0[md5=e8016c6839c63842d4a32bace7359ad8]
    - 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==1.10.55=h721c034_0[md5=870b29570ef0585da73ea6a2487da414]
    - defaults/linux-64::babel==2.11.0=py312h06a4308_0[md5=677b01819ada8c2e555e55342b1d5433]
    - defaults/linux-64::bcrypt==3.2.0=py312h5eee18b_1[md5=556acaef7d2feadd4d01b0b3e66cbfa8]
    - defaults/linux-64::beautifulsoup4==4.12.3=py312h06a4308_0[md5=79afccbd2199c75b590ecac6228716f2]
    - defaults/linux-64::black==24.8.0=py312h06a4308_0[md5=45db94c5c4cc7ec895f3620198365987]
    - defaults/linux-64::blas==1.0=mkl[md5=9a7a051e9bd41da46523acb017d8a517]
    - defaults/linux-64::blinker==1.6.2=py312h06a4308_0[md5=a308ff4a4e682fe7375bea66fec0f818]
    - defaults/linux-64::blosc==1.21.3=h6a678d5_0[md5=4a82e776d992a517ada3bdcede331ae8]
    - defaults/linux-64::bokeh==3.6.0=py312h06a4308_0[md5=b2344bce475b9bb706c2a887ff0b56f4]
    - defaults/linux-64::boltons==23.0.0=py312h06a4308_0[md5=36d464442713fc92897b7da029a08fb6]
    - defaults/linux-64::boost-cpp==1.82.0=hdb19cb5_2[md5=126e68decc2907288d2787529a945570]
    - defaults/linux-64::botocore==1.34.69=py312h06a4308_0[md5=f92db3e81737983870ac87942319844a]
    - defaults/linux-64::bottleneck==1.3.7=py312ha883a20_0[md5=51bb23c66f00f6cc89dd0dee32815e67]
    - defaults/linux-64::brotli-bin==1.0.9=h5eee18b_8[md5=9820670bfb9cae1e93a2646676bc1b7b]
    - defaults/linux-64::brotli-python==1.0.9=py312h6a678d5_8[md5=e6bdf1f9e8e1ad3543aaec7e9ecea7e7]
    - defaults/linux-64::brotli==1.0.9=h5eee18b_8[md5=b5d5a0d366e8dc1b21c75b8703aaa96a]
    - defaults/linux-64::brunsli==0.1=h2531618_0[md5=6777d1b10f8e02143f9708699f7ab354]
    - 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==2.12.0=h80c7b02_0[md5=a99d0fcf5918fc2cacf0b7bb865087f9]
    - defaults/linux-64::ca-certificates==2024.9.24=h06a4308_0[md5=e4369d7b4b0707ee0765794d14710e2e]
    - defaults/linux-64::cachetools==5.3.3=py312h06a4308_0[md5=5ef3f4e0b9bea1464c2872c8bb47886b]
    - defaults/linux-64::certifi==2024.8.30=py312h06a4308_0[md5=42ef53b6872f15913c0d7d702ec7475e]
    - defaults/linux-64::cffi==1.17.1=py312h1fdaa30_0[md5=8472aea146fecf25898d67adea2ddbf8]
    - defaults/linux-64::cfitsio==3.470=h5893167_7[md5=a4d4f7d9d9ee35e6abdd4acb1c14afea]
    - defaults/linux-64::chardet==4.0.0=py312h06a4308_1003[md5=7dd0b18381d4e95f723afbde9171b3cf]
    - defaults/linux-64::charls==2.2.0=h2531618_0[md5=abcace262ab5673ba2b89c658b7bc846]
    - defaults/linux-64::click==8.1.7=py312h06a4308_0[md5=a0d97fc547780b4ddefc91139e633e02]
    - defaults/linux-64::cloudpickle==3.0.0=py312h06a4308_0[md5=3f45dcde74f21f86ab0edc5d8dd1dfab]
    - defaults/linux-64::colorama==0.4.6=py312h06a4308_0[md5=6175699c700cc4e4bf18ffc86778e488]
    - defaults/linux-64::colorcet==3.1.0=py312h06a4308_0[md5=0aa6e68c007c1cba090c89b086d49a08]
    - defaults/linux-64::comm==0.2.1=py312h06a4308_0[md5=7d7b827eee78fd7b62292dc6a44314f2]
    - defaults/linux-64::conda-build==24.9.0=py312h06a4308_0[md5=53b5437f63ec6e3280cf0818951924b3]
    - defaults/linux-64::conda-content-trust==0.2.0=py312h06a4308_1[md5=fdcf7a04d9cc833ea3f397a414010206]
    - defaults/linux-64::conda-index==0.5.0=py312h06a4308_0[md5=1d75f558480909da0ba8114a60a4a5df]
    - defaults/linux-64::conda-pack==0.7.1=py312h06a4308_0[md5=b7ca0af40f8bfb9dbb171dc734b5cd30]
    - defaults/linux-64::conda-package-handling==2.3.0=py312h06a4308_0[md5=230372bd2a09fbe75dc99c655f671e04]
    - defaults/linux-64::conda-package-streaming==0.10.0=py312h06a4308_0[md5=4801fce7f441672d195966cf23a12186]
    - defaults/linux-64::conda-repo-cli==1.0.114=py312h06a4308_0[md5=486ca8ed267a9b693ffeb855e396362a]
    - defaults/linux-64::conda==24.9.2=py312h06a4308_0[md5=4c35348e64d09d83ce731fbbe9018b26]
    - defaults/linux-64::constantly==23.10.4=py312h06a4308_0[md5=b84e14c021e378e0ff045e0f4b714345]
    - defaults/linux-64::contourpy==1.2.0=py312hdb19cb5_0[md5=45c70b5ee7202df3c86a586c2736bce7]
    - defaults/linux-64::cookiecutter==2.6.0=py312h06a4308_0[md5=da8267e86033d982dbbe9ec14286dc50]
    - defaults/linux-64::cryptography==43.0.0=py312hdda0065_0[md5=76ab63809027e6311b6aa8b4f922ddcf]
    - defaults/linux-64::cssselect==1.2.0=py312h06a4308_0[md5=24c2b17ff843a532442d55a22490124e]
    - defaults/linux-64::curl==8.9.1=hdbd6064_0[md5=52ef43af44b3c55a6cc3cd7e5adfb0eb]
    - defaults/linux-64::cyrus-sasl==2.1.28=h52b45da_1[md5=d634af1577e4008f9228ae96ce671c44]
    - defaults/linux-64::cytoolz==0.12.2=py312h5eee18b_0[md5=576084e1306a7cd21043c6ea5cb38fa2]
    - defaults/linux-64::dask-core==2024.8.2=py312h06a4308_0[md5=f3590b44c5964fabec4e2018d6cb4723]
    - defaults/linux-64::dask-expr==1.1.13=py312h06a4308_0[md5=0345f633104769b756576c85513f7bb7]
    - defaults/linux-64::dask==2024.8.2=py312h06a4308_0[md5=e18842ad484cce4eac772384e72d0553]
    - defaults/linux-64::datashader==0.16.3=py312h06a4308_0[md5=082a991576edf5579d41d8647ddf8da0]
    - defaults/linux-64::dav1d==1.2.1=h5eee18b_0[md5=616c9f26cd289f10a79f3d166b338804]
    - defaults/linux-64::dbus==1.13.18=hb2f20db_0[md5=6a6a6f1391f807847404344489ef6cf4]
    - defaults/linux-64::debugpy==1.6.7=py312h6a678d5_0[md5=e2d2e050b9401c68cfc979753f250616]
    - defaults/linux-64::dill==0.3.8=py312h06a4308_0[md5=f55011f25e86927bea73438c228631af]
    - defaults/linux-64::distributed==2024.8.2=py312h06a4308_0[md5=294b88cabc2a0d03e4e27597fea9248d]
    - defaults/linux-64::distro==1.9.0=py312h06a4308_0[md5=71b90a563af005b336c976cc9466221c]
    - defaults/linux-64::docstring-to-markdown==0.11=py312h06a4308_0[md5=81a1a698300865f094e8d2f650a8c672]
    - defaults/linux-64::docutils==0.18.1=py312h06a4308_3[md5=de1cf0208a060d67bf6597c5a33cb111]
    - defaults/linux-64::et_xmlfile==1.1.0=py312h06a4308_1[md5=c9f51f719d877e8f6f8be7c9629d5791]
    - defaults/linux-64::expat==2.6.3=h6a678d5_0[md5=5e184279ccb8b85331093305cb548f5c]
    - defaults/linux-64::filelock==3.13.1=py312h06a4308_0[md5=6a0b440821945eda176c2bd78fd64a56]
    - defaults/linux-64::flake8==7.0.0=py312h06a4308_0[md5=fc66967179829a7e82738ce307dc57ef]
    - defaults/linux-64::flask==3.0.3=py312h06a4308_0[md5=bdacbbe275f928ae50fdc09ddb0f6203]
    - defaults/linux-64::fmt==9.1.0=hdb19cb5_1[md5=4f12930203ff2d84df5d287af9b29858]
    - defaults/linux-64::fontconfig==2.14.1=h4c34cd2_2[md5=f0b472f5b544f8d57beb09ed4a2932e1]
    - defaults/linux-64::fonttools==4.51.0=py312h5eee18b_0[md5=592d996d4b654ac2d0b071461f5165d4]
    - defaults/linux-64::freetype==2.12.1=h4a9f257_0[md5=bdc7b5952e9c5dca01bc2f4ccef2f974]
    - defaults/linux-64::frozendict==2.4.2=py312h06a4308_0[md5=76ae0259102a2156cc0e1ff9ada0f2c6]
    - defaults/linux-64::frozenlist==1.4.0=py312h5eee18b_0[md5=f5ff0dfe84b03771bd6fcec01d3272f4]
    - defaults/linux-64::fsspec==2024.6.1=py312h06a4308_0[md5=b6063312ad55fa5e6840f194801b2a89]
    - defaults/linux-64::gensim==4.3.3=py312h526ad5a_0[md5=f0c713939aa64b81bc25d61e70b4ebe3]
    - defaults/linux-64::gflags==2.2.2=h6a678d5_1[md5=934362bfb503ed169413b0a209959fe7]
    - defaults/linux-64::giflib==5.2.1=h5eee18b_3[md5=aa7d64adb3cd8a75d398167f8c29afc3]
    - defaults/linux-64::gitpython==3.1.43=py312h06a4308_0[md5=a5bb051e5739c6701297408439f7b1fc]
    - 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::greenlet==3.0.1=py312h6a678d5_0[md5=e44111a5dbcd2dabbc678ab4c5ec19f1]
    - 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==0.14.0=py312h06a4308_0[md5=6e32d4e1d4c9409293e63ecf19755482]
    - defaults/linux-64::h5py==3.11.0=py312h34c39bb_0[md5=b15decee21975b4b043998385317b13e]
    - defaults/linux-64::hdf5==1.12.1=h2b7332f_3[md5=fd13a779c6309d80f943429effe46f21]
    - defaults/linux-64::holoviews==1.19.1=py312h06a4308_0[md5=e269003b4ddf08e32ea2238ffeb908c7]
    - defaults/linux-64::httpcore==1.0.2=py312h06a4308_0[md5=a4e4dd3bd4cec11e72ffb690bafcce90]
    - defaults/linux-64::httpx==0.27.0=py312h06a4308_0[md5=2364f07b85b5cc9f4a62106c823f10c8]
    - defaults/linux-64::hvplot==0.11.0=py312h06a4308_0[md5=41369623b4c61fc88139c6813f53abda]
    - defaults/linux-64::icu==73.1=h6a678d5_0[md5=6d09df641fc23f7d277a04dc7ea32dd4]
    - defaults/linux-64::idna==3.7=py312h06a4308_0[md5=03cc59cdabff44c47be0fadffcef003c]
    - defaults/linux-64::imagecodecs==2023.1.23=py312h81b8100_1[md5=0caf7855e4b3b8cd3185038df2ab3051]
    - defaults/linux-64::imageio==2.33.1=py312h06a4308_0[md5=8971e0f0ea6256b1c5f90e0a82c51586]
    - defaults/linux-64::imagesize==1.4.1=py312h06a4308_0[md5=988aa1d281a4ecadadc74d2e5593913f]
    - defaults/linux-64::imbalanced-learn==0.12.3=py312h06a4308_1[md5=29d63661ac2e121a27c5efbc67d40f4a]
    - defaults/linux-64::importlib-metadata==7.0.1=py312h06a4308_0[md5=3882ea712f9fe00625fa0420016dad18]
    - defaults/linux-64::inflection==0.5.1=py312h06a4308_1[md5=67e114605923bbecac3d53ee797a384e]
    - defaults/linux-64::intake==2.0.7=py312h06a4308_0[md5=f2fb3e5e040253a70e730b9278db819e]
    - defaults/linux-64::intel-openmp==2023.1.0=hdb19cb5_46306[md5=8c3c1916f770196bf998c8310178ae55]
    - defaults/linux-64::ipykernel==6.28.0=py312h06a4308_0[md5=b488eb4fadcff89d5a2cf097a5c7a91b]
    - defaults/linux-64::ipython==8.27.0=py312h06a4308_0[md5=e0e30c0612115959ce5a6633e577bc41]
    - defaults/linux-64::ipywidgets==7.8.1=py312h06a4308_0[md5=c74f35657fed48b17542297cf1ea32f4]
    - defaults/linux-64::isort==5.13.2=py312h06a4308_0[md5=d58259ad7b833d0cf198b9a883406ce3]
    - defaults/linux-64::itemloaders==1.1.0=py312h06a4308_0[md5=dad30c71257b98882c2ed1404605647d]
    - defaults/linux-64::itsdangerous==2.2.0=py312h06a4308_0[md5=b968363412bbfbea5bcb7634c3c95884]
    - defaults/linux-64::jedi==0.19.1=py312h06a4308_0[md5=67391f5ec297fe536b30d2c450ae4b15]
    - defaults/linux-64::jellyfish==1.0.1=py312hb02cf49_0[md5=790ecec7deb5695fb2163b284fe4e6b1]
    - defaults/linux-64::jinja2==3.1.4=py312h06a4308_0[md5=aee50a77b632c39ab72bffc8017d19be]
    - defaults/linux-64::jmespath==1.0.1=py312h06a4308_0[md5=d5e70badfd5b436c8620db7dda0bde71]
    - defaults/linux-64::joblib==1.4.2=py312h06a4308_0[md5=c191ecf27647a0faee7bcb0b5f0aed71]
    - defaults/linux-64::jpeg==9e=h5eee18b_3[md5=7c070fc8280710bdbef12813039058f8]
    - defaults/linux-64::jq==1.6=h27cfd23_1000[md5=e3959b747ad5c51cbb8e0c2b0374e9d1]
    - defaults/linux-64::jsonpatch==1.33=py312h06a4308_1[md5=c3de52aaf670064f85106ddb32d720d9]
    - defaults/linux-64::jsonschema-specifications==2023.7.1=py312h06a4308_0[md5=4a3e8dd4b08a13007db2038e6d0ee144]
    - defaults/linux-64::jsonschema==4.23.0=py312h06a4308_0[md5=db19980afd8da4e8269d4374c2b86e31]
    - defaults/linux-64::jupyter-lsp==2.2.0=py312h06a4308_0[md5=5ec44afafeffea8c68eb56af4da94dc5]
    - defaults/linux-64::jupyter==1.0.0=py312h06a4308_9[md5=9dcba45c16979cd345f042f56b6ed9c7]
    - defaults/linux-64::jupyter_client==8.6.0=py312h06a4308_0[md5=fa5c4806fb8923dd99bd6e4117394681]
    - defaults/linux-64::jupyter_console==6.6.3=py312h06a4308_1[md5=02607d9c1ab4d665b9f94ee78d8b5bf5]
    - defaults/linux-64::jupyter_core==5.7.2=py312h06a4308_0[md5=f74ba359b10915d569269b982b942455]
    - defaults/linux-64::jupyter_events==0.10.0=py312h06a4308_0[md5=e9def891af369b1d816e08345a42838a]
    - defaults/linux-64::jupyter_server==2.14.1=py312h06a4308_0[md5=6ee18118c92c40b045ae6a99d5025da4]
    - defaults/linux-64::jupyter_server_terminals==0.4.4=py312h06a4308_1[md5=38397ad2c8ba35b0c34082d230f49bd8]
    - defaults/linux-64::jupyterlab-variableinspector==3.1.0=py312h06a4308_0[md5=cf521461fc77fba6bd5664147926873d]
    - defaults/linux-64::jupyterlab==4.2.5=py312h06a4308_0[md5=6bf95090db403e5ea2d18a7007b55153]
    - defaults/linux-64::jupyterlab_server==2.27.3=py312h06a4308_0[md5=f57cfbe699a06e2e2e0dc55fa92c6a87]
    - defaults/linux-64::jxrlib==1.1=h7b6447c_2[md5=3cc305f3788177c8ea28088590ab75a1]
    - defaults/linux-64::keyring==24.3.1=py312h06a4308_0[md5=fff26aca6afa1adcb1cd61d8763639e3]
    - defaults/linux-64::kiwisolver==1.4.4=py312h6a678d5_0[md5=47e12eaa774b108e6e17011b1d727650]
    - defaults/linux-64::krb5==1.20.1=h143b758_1[md5=cf1accc86321fa25d6b978cc748039ae]
    - defaults/linux-64::lazy-object-proxy==1.10.0=py312h5eee18b_0[md5=68bc2faf5a037401c7d1eb46acaf3f0e]
    - defaults/linux-64::lazy_loader==0.4=py312h06a4308_0[md5=6eec321fa4f6db3720d90667853f7ddc]
    - defaults/linux-64::lcms2==2.12=h3be6417_0[md5=719db47afba9f6586eecb5eacac70bff]
    - defaults/linux-64::ld_impl_linux-64==2.40=h12ee557_0[md5=ee672b5f635340734f58d618b7bca024]
    - defaults/linux-64::lerc==3.0=h295c915_0[md5=b97309770412f10bed8d9448f6f98f87]
    - defaults/linux-64::libabseil==20240116.2=cxx17_h6a678d5_0[md5=7abc574a536f223fe96be4fb7f4207bf]
    - defaults/linux-64::libaec==1.0.4=he6710b0_1[md5=95e3b23fe7c0108bce3b6826749bb94d]
    - defaults/linux-64::libarchive==3.6.2=h6ac8c49_3[md5=2501766e63d235170c00d670c76510cb]
    - defaults/linux-64::libavif==0.11.1=h5eee18b_0[md5=6fbaf4cb35c7df1b1e08e2096e84c71b]
    - defaults/linux-64::libboost==1.82.0=h109eef0_2[md5=cc971e806cb403c65290ab161bed239a]
    - defaults/linux-64::libbrotlicommon==1.0.9=h5eee18b_8[md5=1e9edf233add622312356a40a7d0f8de]
    - defaults/linux-64::libbrotlidec==1.0.9=h5eee18b_8[md5=2595e6d66d6b9254e18d63458dc27486]
    - defaults/linux-64::libbrotlienc==1.0.9=h5eee18b_8[md5=d9ee310f619a8dc00178fd2ae1667c88]
    - defaults/linux-64::libclang13==14.0.6=default_he11475f_1[md5=44890feda1cf51639d9c94afbacce011]
    - defaults/linux-64::libclang==14.0.6=default_hc6dbbc7_1[md5=8f12583c4027b2861cff470f6b8837c4]
    - defaults/linux-64::libcups==2.4.2=h2d74bed_1[md5=3f265c2172a9e8c90a74037b6fa13685]
    - defaults/linux-64::libcurl==8.9.1=h251f7ec_0[md5=8133d8f19e8136a10f9f81180026c859]
    - defaults/linux-64::libdeflate==1.17=h5eee18b_1[md5=82831ef0b6c9595382d74e0c281f6742]
    - 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==1.62.2=h2d74bed_0[md5=b295eb977660493754dbb9ac7210c250]
    - defaults/linux-64::libiconv==1.16=h5eee18b_3[md5=197b1a0886a31fccab2167340528eebc]
    - defaults/linux-64::liblief==0.12.3=h6a678d5_0[md5=9996383fc2561614e4d54490aea33f8e]
    - defaults/linux-64::libllvm14==14.0.6=hecde1de_4[md5=6632d0fded357829c566744d2d8ab20c]
    - defaults/linux-64::libmamba==1.5.8=hfe524e5_2[md5=296ffa72be5a84823751e437b6e8445d]
    - defaults/linux-64::libmambapy==1.5.8=py312h2dafd23_2[md5=f1e589b235fb9922930f2762c6fa8cd2]
    - 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==12.17=hdbd6064_0[md5=6bed363e25859faff66bf546a11c10e8]
    - defaults/linux-64::libprotobuf==4.25.3=he621ea3_0[md5=b5bac9ee75a731feb80bfc8c40d1958f]
    - defaults/linux-64::libsodium==1.0.18=h7b6447c_0[md5=c8783b20f0e14bc1d701352c26c264d5]
    - defaults/linux-64::libsolv==0.7.24=he621ea3_1[md5=c22067963515e7a8d27a5a222a48d870]
    - defaults/linux-64::libspatialindex==1.9.3=h2531618_0[md5=2944eeda0125389c979af67e4460a510]
    - defaults/linux-64::libssh2==1.11.0=h251f7ec_0[md5=ce46cf257d73fe85c18c78597196f0d8]
    - 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==4.5.1=h6a678d5_0[md5=235a671f74f0c4ecad9f9b3b107e3566]
    - defaults/linux-64::libuuid==1.41.5=h5eee18b_0[md5=4a6a2354414c9080327274aa514e5299]
    - defaults/linux-64::libwebp-base==1.3.2=h5eee18b_0[md5=9179fc7baefa1e027f572edbc519d805]
    - defaults/linux-64::libxcb==1.15=h7f8727e_0[md5=ada518dcadd6aaee9aae47ba9a671553]
    - defaults/linux-64::libxkbcommon==1.0.1=h5eee18b_1[md5=888b2e8f1bbf21017c503826e2d24b50]
    - defaults/linux-64::libxml2==2.10.4=hfdd30dd_2[md5=ff7a0e3b92afb3c99b82c9f0ba8b5670]
    - defaults/linux-64::libxslt==1.1.37=h5eee18b_1[md5=6f02fe89170c00b93ca5a3b81da6d9e0]
    - defaults/linux-64::libzopfli==1.0.3=he6710b0_0[md5=8671895f71c9046f38b814f8662226f5]
    - defaults/linux-64::linkify-it-py==2.0.0=py312h06a4308_0[md5=68b194a12b09ab4aca3fc89da29c7f6a]
    - defaults/linux-64::llvmlite==0.43.0=py312h6a678d5_0[md5=5ca38d7d7746a4109bf92c25dbf5d498]
    - defaults/linux-64::locket==1.0.0=py312h06a4308_0[md5=94707c858e3cdfce236776a6e9fb76fc]
    - defaults/linux-64::lxml==5.2.1=py312hdbbb534_0[md5=402f05b5838a8b825e387890632fd63b]
    - defaults/linux-64::lz4-c==1.9.4=h6a678d5_1[md5=2ee58861f2b92b868ce761abb831819d]
    - defaults/linux-64::lz4==4.3.2=py312h5eee18b_0[md5=e6b445720047b4edad5c819a1052eefd]
    - defaults/linux-64::lzo==2.10=h7b6447c_2[md5=65722a7644f424de73fea6e87edd7653]
    - defaults/linux-64::markdown-it-py==2.2.0=py312h06a4308_1[md5=ec0d596109762df09a6ee70dd3327847]
    - defaults/linux-64::markdown==3.4.1=py312h06a4308_0[md5=edda682f22d7b98570fc5527f6412ce5]
    - defaults/linux-64::markupsafe==2.1.3=py312h5eee18b_0[md5=b5d2615c33773326f8207f7b58df1e2b]
    - defaults/linux-64::matplotlib-base==3.9.2=py312h66fe004_0[md5=7ac7bc9b4133c69c8b30c6b40a176e5a]
    - defaults/linux-64::matplotlib-inline==0.1.6=py312h06a4308_0[md5=a8e99eeb494e5945aa7e60a660670643]
    - defaults/linux-64::matplotlib==3.9.2=py312h06a4308_0[md5=c7d85b61abc647aaf06af2609aec451f]
    - defaults/linux-64::mdit-py-plugins==0.3.0=py312h06a4308_0[md5=eab2b27cc60996a7ebf3eeeeb82674cc]
    - defaults/linux-64::mdurl==0.1.0=py312h06a4308_0[md5=6bea6d09fe58ac995a64ab45e75cb5e9]
    - defaults/linux-64::menuinst==2.1.2=py312h06a4308_0[md5=dea01dc88eee0a74dc9d982144b93371]
    - defaults/linux-64::mistune==2.0.4=py312h06a4308_0[md5=ebad83b0f2acc0defac5485ea5e71994]
    - defaults/linux-64::mkl-service==2.4.0=py312h5eee18b_1[md5=cbcf902f69dde50490e8e7254070fbc6]
    - defaults/linux-64::mkl==2023.1.0=h213fc3f_46344[md5=83e5adf5b75242d8d7634615fed37c72]
    - defaults/linux-64::mkl_fft==1.3.10=py312h5eee18b_0[md5=ade5f6c857bf8abeef97634c4c79b0cd]
    - defaults/linux-64::mkl_random==1.2.7=py312h526ad5a_0[md5=c26d1de1162018bdef3e8a5bc6c1bf81]
    - defaults/linux-64::more-itertools==10.3.0=py312h06a4308_0[md5=f4a4ebde3790bc626937717119a99a73]
    - defaults/linux-64::mpmath==1.3.0=py312h06a4308_0[md5=5b9f0f54bc7edc658fbc97bf293c6795]
    - defaults/linux-64::msgpack-python==1.0.3=py312hdb19cb5_0[md5=9f2369ceffa6420742a233390d2fc295]
    - defaults/linux-64::multidict==6.0.4=py312h5eee18b_0[md5=86141a351bb729f0423e2fb863b9563e]
    - defaults/linux-64::multipledispatch==0.6.0=py312h06a4308_0[md5=c25db55c3cac0a8831eb157744260c37]
    - defaults/linux-64::mypy==1.11.2=py312h5eee18b_0[md5=97acc8b5794e6f2a9a743e8763d26a5d]
    - defaults/linux-64::mypy_extensions==1.0.0=py312h06a4308_0[md5=79bbb864c9fffd761fbc7f5bc149dcef]
    - defaults/linux-64::mysql==5.7.24=h721c034_2[md5=dfc19ca2466d275c4c1f73b62c57f37b]
    - defaults/linux-64::navigator-updater==0.5.1=py312h06a4308_0[md5=349713151b31a425189385286233bf9c]
    - defaults/linux-64::nbclient==0.8.0=py312h06a4308_0[md5=27e95ee551e2a710fe0d96da0ca141fe]
    - defaults/linux-64::nbconvert==7.16.4=py312h06a4308_0[md5=60d5960c90b74939984493f38531ddba]
    - defaults/linux-64::nbformat==5.10.4=py312h06a4308_0[md5=81e80731bf530c45c7013d76e9ed45e3]
    - defaults/linux-64::ncurses==6.4=h6a678d5_0[md5=5558eec6e2191741a92f832ea826251c]
    - defaults/linux-64::nest-asyncio==1.6.0=py312h06a4308_0[md5=54db123c667472579092ce402f242702]
    - defaults/linux-64::networkx==3.3=py312h06a4308_0[md5=3d6fe63c7b13df13c529e2aace012d80]
    - defaults/linux-64::nltk==3.9.1=py312h06a4308_0[md5=6d2d729bdcbc7d3e9b13385c3cd28962]
    - defaults/linux-64::notebook-shim==0.2.3=py312h06a4308_0[md5=1f00239d617e3f323f35899f6254b39c]
    - defaults/linux-64::notebook==7.2.2=py312h06a4308_1[md5=7a8951b6a9d1537ed7090ad7a9823732]
    - 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==0.60.0=py312h526ad5a_0[md5=729e4d66cf5c974d29d387ef643aa017]
    - defaults/linux-64::numexpr==2.8.7=py312hf827012_0[md5=3f03dbfc3a58d62893415149697dba3c]
    - defaults/linux-64::numpy-base==1.26.4=py312h0da6c21_0[md5=888045b50966bd832bd93204480f222a]
    - defaults/linux-64::numpy==1.26.4=py312hc5e2394_0[md5=8ac8a89fbffe69a59f2d22ef58a81b0b]
    - defaults/linux-64::numpydoc==1.7.0=py312h06a4308_0[md5=af18243afec3c13f43155144730903fd]
    - defaults/linux-64::oniguruma==6.9.7.1=h27cfd23_0[md5=3415c8dd052c9032955fa24b870725ea]
    - defaults/linux-64::openjpeg==2.5.2=he7f1fd0_0[md5=a399fe14e40b0ed66a2b1b6c1da4eae1]
    - defaults/linux-64::openpyxl==3.1.5=py312h5eee18b_0[md5=e6be29538cd413bd4fa55311b7ba1daf]
    - defaults/linux-64::openssl==3.0.15=h5eee18b_0[md5=019e501b69841c6d4aeaef3b8619a678]
    - defaults/linux-64::orc==2.0.1=h2d29ad5_0[md5=b4ba21ab452ffd7d1706fcb161c6fe4f]
    - defaults/linux-64::overrides==7.4.0=py312h06a4308_0[md5=b294a9b6e5b7654cc7012f3690a7c57f]
    - defaults/linux-64::packaging==24.1=py312h06a4308_0[md5=756ec42d4f934b642b8476689af2781f]
    - defaults/linux-64::pandas==2.2.2=py312h526ad5a_0[md5=931585545b1801a72013bf30186fb51a]
    - defaults/linux-64::panel==1.5.2=py312h06a4308_0[md5=7bec4368aefd57b26f3563956c607b13]
    - defaults/linux-64::param==2.1.1=py312h06a4308_0[md5=97f6dfd63177c0ed9c15bcb00f310f80]
    - defaults/linux-64::parsel==1.8.1=py312h06a4308_0[md5=b5af8bdc6ae20dc42ab67cdc768f24af]
    - defaults/linux-64::partd==1.4.1=py312h06a4308_0[md5=35ea3b7ff96731a7a98f9711111cc58f]
    - 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=py312h06a4308_0[md5=adca67c357ada01d137d476d8c2d7f41]
    - defaults/linux-64::patsy==0.5.6=py312h06a4308_0[md5=6f57356208264ad6be02f2838085ed49]
    - defaults/linux-64::pcre2==10.42=hebb0a14_1[md5=727e15c3cfa02b032da4eb0c1123e977]
    - defaults/linux-64::pillow==10.4.0=py312h5eee18b_0[md5=5887e3148dad7f9e68c38d20071899ca]
    - defaults/linux-64::pip==24.2=py312h06a4308_0[md5=798cbea8112672434d0cd7551f8fc4b9]
    - defaults/linux-64::pkce==1.0.3=py312h06a4308_0[md5=f265ff999a05aa966bcef3ae359cc64b]
    - defaults/linux-64::pkginfo==1.10.0=py312h06a4308_0[md5=2a32de7c1bccd483668b26d4cf589488]
    - defaults/linux-64::platformdirs==3.10.0=py312h06a4308_0[md5=39dc9eb538e73250dadcdec7a8ed6595]
    - defaults/linux-64::plotly==5.24.1=py312he106c6f_0[md5=c049e795808913b838736849545a7478]
    - defaults/linux-64::pluggy==1.0.0=py312h06a4308_1[md5=65e3925b7c284b6a111d8971cac0d0c7]
    - defaults/linux-64::ply==3.11=py312h06a4308_1[md5=e65cbfb390d1fc5bbd53328cff8a21dc]
    - defaults/linux-64::prometheus_client==0.14.1=py312h06a4308_0[md5=14e1666713d1d750c7294d167e263170]
    - defaults/linux-64::prompt-toolkit==3.0.43=py312h06a4308_0[md5=1ccee6d6456c5a4c71d52a97e8292432]
    - defaults/linux-64::protobuf==4.25.3=py312h12ddb61_0[md5=3d46156a04ec6efd65eafe9869b1c4c0]
    - defaults/linux-64::psutil==5.9.0=py312h5eee18b_0[md5=44fe0043384455631a86c8ff948432df]
    - defaults/linux-64::py-cpuinfo==9.0.0=py312h06a4308_0[md5=14f99995c332bf440246f35da4e6582c]
    - defaults/linux-64::py-lief==0.12.3=py312h6a678d5_0[md5=d19a33a58bdf68d7487a4104d917a2af]
    - defaults/linux-64::pyarrow==16.1.0=py312h526ad5a_0[md5=3637f62347b5731c200f60d31d1854b6]
    - defaults/linux-64::pycodestyle==2.11.1=py312h06a4308_0[md5=fdaa4abbcbd5cfffdf8d70a40b85dcde]
    - defaults/linux-64::pycosat==0.6.6=py312h5eee18b_1[md5=4ccf6371e1ccb1ccbecac26ab4fd1607]
    - defaults/linux-64::pyct==0.5.0=py312h06a4308_0[md5=9363328477b368cc49fb0ebd7556924b]
    - defaults/linux-64::pycurl==7.45.3=py312hdbd6064_0[md5=208c894a0919d2c70119dfa11d4e6a74]
    - defaults/linux-64::pydantic-core==2.20.1=py312hb02cf49_0[md5=8879e1838f0fce5900cb23db1aa5e68d]
    - defaults/linux-64::pydantic==2.8.2=py312h06a4308_0[md5=ed17e2e2ab47f308aaf95ef56da439cd]
    - defaults/linux-64::pydeck==0.8.0=py312h06a4308_2[md5=2b0bf5ce850ddef5efb5b8e033c1d112]
    - defaults/linux-64::pydispatcher==2.0.5=py312h06a4308_3[md5=ad20bdfd6d5783252a2026d2ed2b9756]
    - defaults/linux-64::pydocstyle==6.3.0=py312h06a4308_0[md5=fcb2df64e0aa5408a69e7ffac35a105c]
    - defaults/linux-64::pyerfa==2.0.1.4=py312ha883a20_0[md5=51d8aee3a18db47edbc36746286ffe0c]
    - defaults/linux-64::pyflakes==3.2.0=py312h06a4308_0[md5=11b673ca76ce8ec97d3f78660e028ed9]
    - defaults/linux-64::pygments==2.15.1=py312h06a4308_1[md5=0cbad1773807f46b928491e0b8606e7f]
    - defaults/linux-64::pyjwt==2.8.0=py312h06a4308_0[md5=d7241f586d81ecfd3b019bb490e4b292]
    - defaults/linux-64::pylint-venv==3.0.3=py312h06a4308_0[md5=4afc92540fee37f7832c49f6a0a38170]
    - defaults/linux-64::pylint==2.16.2=py312h06a4308_0[md5=a923b6e59db57a2996848f460bb37560]
    - defaults/linux-64::pyodbc==5.1.0=py312h6a678d5_0[md5=64de57a5d4d49aac0d0da25a9162354f]
    - defaults/linux-64::pyopenssl==24.2.1=py312h06a4308_0[md5=2fc7519121e3f24552cc9b0547c332ad]
    - defaults/linux-64::pyparsing==3.1.2=py312h06a4308_0[md5=18be1ebb7e660fe091c05caab324100b]
    - defaults/linux-64::pyqt5-sip==12.13.0=py312h5eee18b_0[md5=c4ff954954a2cf3a6e5b8b87e07addeb]
    - defaults/linux-64::pyqt==5.15.10=py312h6a678d5_0[md5=d0202d00cd2b878bcc74a9573c5a468b]
    - defaults/linux-64::pyqtwebengine==5.15.10=py312h6a678d5_0[md5=37ca2cb5bc1048b90c1155e392912159]
    - defaults/linux-64::pysocks==1.7.1=py312h06a4308_0[md5=8efb8494277b7f0faedf9d437b23cbe1]
    - defaults/linux-64::pytables==3.10.1=py312h387d6ec_0[md5=92fddcaf528be9839bf465f8bdc59fc7]
    - defaults/linux-64::pytest==7.4.4=py312h06a4308_0[md5=297cebe31aed2b64f54ea716a61733c0]
    - defaults/linux-64::python-dateutil==2.9.0post0=py312h06a4308_2[md5=06c8706a892aaaae74325c0b46c86d01]
    - defaults/linux-64::python-dotenv==0.21.0=py312h06a4308_0[md5=f983f4d6278453e00f637442967b29fa]
    - defaults/linux-64::python-fastjsonschema==2.16.2=py312h06a4308_0[md5=56f31b415091b046a5e6766911600d12]
    - defaults/linux-64::python-json-logger==2.0.7=py312h06a4308_0[md5=41478dbbaca2f053f312811678c84cbb]
    - defaults/linux-64::python-lmdb==1.4.1=py312h6a678d5_0[md5=6c3be23ca6c56dd7adc44c95008ff1ca]
    - defaults/linux-64::python-lsp-black==2.0.0=py312h06a4308_0[md5=55e3128ae8684f7d5aefd075a437f5eb]
    - defaults/linux-64::python-lsp-server==1.10.0=py312h06a4308_0[md5=125239335d1e692fd7d85daa4d6b8ba7]
    - defaults/linux-64::python==3.12.7=h5148396_0[md5=268d2cb6563a9bcb77afd31721d330c2]
    - defaults/linux-64::pytoolconfig==1.2.6=py312h06a4308_0[md5=b7afdf369facff5aa5d7f1aa5490ba32]
    - defaults/linux-64::pytz==2024.1=py312h06a4308_0[md5=f8a72213ea02624e802216fedff222e1]
    - defaults/linux-64::pyviz_comms==3.0.2=py312h06a4308_0[md5=73594db5fb20185ea573b151327c39e1]
    - defaults/linux-64::pywavelets==1.7.0=py312h5eee18b_0[md5=cdf01c070e6cbb04c3a5492fbd3121b3]
    - defaults/linux-64::pyyaml==6.0.1=py312h5eee18b_0[md5=c4dd039d43f1b841661db23e084b5e04]
    - defaults/linux-64::pyzmq==25.1.2=py312h6a678d5_0[md5=e222e50ccfb73d90805aac55b527b6f4]
    - defaults/linux-64::qstylizer==0.2.2=py312h06a4308_0[md5=7a368792c63fcf0985c3944fbab52d00]
    - defaults/linux-64::qt-main==5.15.2=h53bd1ea_10[md5=bd0c79e82df6323f638bdcb871891b61]
    - defaults/linux-64::qt-webengine==5.15.9=h9ab4d14_7[md5=907aa480f11eabd16bd6c72c81720ef2]
    - defaults/linux-64::qtawesome==1.3.1=py312h06a4308_0[md5=668335526e7987928505fd46dc80d8b0]
    - defaults/linux-64::qtconsole==5.5.1=py312h06a4308_0[md5=e67d46996debc3c685d7c5a32f00a1e2]
    - defaults/linux-64::qtpy==2.4.1=py312h06a4308_0[md5=936588dbcc13129f900873fe447f72dd]
    - defaults/linux-64::queuelib==1.6.2=py312h06a4308_0[md5=4e61d2d19b8a073c877576bc1ebae5dd]
    - defaults/linux-64::re2==2022.04.01=h295c915_0[md5=6f53e88722a9419d9dcf43b18eab57b2]
    - defaults/linux-64::readline==8.2=h5eee18b_0[md5=be42180685cce6e6b0329201d9f48efb]
    - defaults/linux-64::referencing==0.30.2=py312h06a4308_0[md5=3113fb44293d20eaae1e67a4876751c9]
    - defaults/linux-64::regex==2024.9.11=py312h5eee18b_0[md5=f7baaf6ea3c0b2774742e7bb4f068828]
    - 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-toolbelt==1.0.0=py312h06a4308_0[md5=7aa77208d296f2bb73e3e71f5614e170]
    - defaults/linux-64::requests==2.32.3=py312h06a4308_0[md5=a321cefcf9b6681a45418d5adf647d80]
    - defaults/linux-64::rfc3339-validator==0.1.4=py312h06a4308_0[md5=2b1db8c436c99c6856a78dad8f2278a1]
    - defaults/linux-64::rfc3986-validator==0.1.1=py312h06a4308_0[md5=f9800ce161ed779b8cf7a1cd6d7ae0f5]
    - defaults/linux-64::rich==13.7.1=py312h06a4308_0[md5=d0f04d8a8f409d70fd0cf7ba3724301a]
    - defaults/linux-64::rope==1.12.0=py312h06a4308_0[md5=a49d5a7f2130f02dbee2b5f8d4c98ed7]
    - defaults/linux-64::rpds-py==0.10.6=py312hb02cf49_0[md5=f014511c9cf2b20297e4cba31fa9a47d]
    - defaults/linux-64::rtree==1.0.1=py312h06a4308_0[md5=58c4db6c2dca8e026a9c14f85444a006]
    - defaults/linux-64::ruamel.yaml.clib==0.2.8=py312h5eee18b_0[md5=4e151915d3acb78754b5cd1be029fcd2]
    - defaults/linux-64::ruamel.yaml==0.18.6=py312h5eee18b_0[md5=b4817fd05fdab4ce718bf1e7aab55f75]
    - defaults/linux-64::ruamel_yaml==0.17.21=py312h5eee18b_0[md5=6c6ec3dead6944d2a4b177112a09594e]
    - defaults/linux-64::s2n==1.3.27=hdbd6064_0[md5=0224b27f3419e746be5a809cc3cd2172]
    - defaults/linux-64::s3fs==2024.6.1=py312h06a4308_0[md5=9c1545d5efb856b75bd85d77236142af]
    - defaults/linux-64::scikit-image==0.24.0=py312h526ad5a_0[md5=86c31d431a0f182a19938928b4ace93e]
    - defaults/linux-64::scikit-learn==1.5.1=py312h526ad5a_0[md5=a6942bc5ab992ab2bb65ec33d2a18e10]
    - defaults/linux-64::scipy==1.13.1=py312hc5e2394_0[md5=c31e251373a2464be83fa7e8c3dcf5b3]
    - defaults/linux-64::scrapy==2.11.1=py312h06a4308_0[md5=d7b5e37d2ddd7b90b0f11852bf7a6ad1]
    - defaults/linux-64::seaborn==0.13.2=py312h06a4308_0[md5=97cfe0352ea1e29561dd5056abe31137]
    - defaults/linux-64::secretstorage==3.3.1=py312h06a4308_1[md5=790c1839ee84767859d244875a26ad97]
    - defaults/linux-64::semver==3.0.2=py312h06a4308_0[md5=72d732a11f95d45a18c77335bffce9e1]
    - defaults/linux-64::send2trash==1.8.2=py312h06a4308_0[md5=6de7b7d88a0ad8549d30cb9bf1676c7e]
    - defaults/linux-64::setuptools==75.1.0=py312h06a4308_0[md5=c96d08a405d335f2b0200c0f281b1fdc]
    - defaults/linux-64::sip==6.7.12=py312h6a678d5_0[md5=9477aa5f0331734ee6a04b0d74ae9988]
    - defaults/linux-64::smart_open==5.2.1=py312h06a4308_0[md5=99103787cd4e4cc1226a653984c1543b]
    - defaults/linux-64::snappy==1.2.1=h6a678d5_0[md5=e8c664fa38ba48b095d8c7bb1d755c10]
    - defaults/linux-64::sniffio==1.3.0=py312h06a4308_0[md5=895787f939a4b06e04de62aa5ccd36d3]
    - defaults/linux-64::soupsieve==2.5=py312h06a4308_0[md5=102a7777bdfa79ba339be7bed43f8c7d]
    - defaults/linux-64::sphinx==7.3.7=py312h5eee18b_0[md5=1a861b7a333c374799a07a5c083c364f]
    - defaults/linux-64::sphinxcontrib-serializinghtml==1.1.10=py312h06a4308_0[md5=2298d2f2ad781879dd0725fb0adf3edd]
    - defaults/linux-64::spyder-kernels==2.5.0=py312h06a4308_0[md5=985a2631d7a58fcc1269f6ad5e0a5bc6]
    - defaults/linux-64::spyder==5.5.1=py312h06a4308_4[md5=30f987bb437b4ad544f43bdfd0c07a28]
    - defaults/linux-64::sqlalchemy==2.0.34=py312h00e1ef3_0[md5=59fb139e00d31be24ef8ffe77fb319fc]
    - defaults/linux-64::sqlite==3.45.3=h5eee18b_0[md5=acf93d6aceb74d6110e20b44cc45939e]
    - defaults/linux-64::statsmodels==0.14.2=py312ha883a20_0[md5=d241aaa862bb09749f70a8e419d68569]
    - defaults/linux-64::streamlit==1.37.1=py312h06a4308_0[md5=511db40b184f1439cfc7093373f4c34d]
    - defaults/linux-64::sympy==1.13.2=py312h06a4308_0[md5=426c35657f3dc330a2bc5c11d6f94ace]
    - defaults/linux-64::tabulate==0.9.0=py312h06a4308_0[md5=42a5c8370e1cf09011d5045fb7c7c0e5]
    - defaults/linux-64::tbb==2021.8.0=hdb19cb5_0[md5=869373905a6bfacbb967abc98516dd85]
    - defaults/linux-64::tenacity==8.2.3=py312h06a4308_0[md5=9c17b4cfd5ce6d2e5f8f8af8bada598b]
    - defaults/linux-64::terminado==0.17.1=py312h06a4308_0[md5=4bc05c7f0c2e64b82882f774752a0263]
    - defaults/linux-64::threadpoolctl==3.5.0=py312he106c6f_0[md5=3ca7192420724484fa1429dd686c91ad]
    - defaults/linux-64::tifffile==2023.4.12=py312h06a4308_0[md5=7d62753c5401d7d6168e03de71c4c980]
    - defaults/linux-64::tinycss2==1.2.1=py312h06a4308_0[md5=53422e62ac2d242aa12575ba12c2d430]
    - defaults/linux-64::tk==8.6.14=h39e8969_0[md5=78dbc5e3c69143ebc037fc5d5b22e597]
    - defaults/linux-64::tldextract==5.1.2=py312h06a4308_0[md5=57d7cdb878186d67a2ab5e0db324964c]
    - defaults/linux-64::tomli==2.0.1=py312h06a4308_1[md5=8770c279821e6ba382d5fa7562a8391b]
    - defaults/linux-64::tomlkit==0.11.1=py312h06a4308_0[md5=b2061d65b70adf68a4f96dc4fb4ec939]
    - defaults/linux-64::toolz==0.12.0=py312h06a4308_0[md5=8340b47fa0f92e87a9416929dd52a102]
    - defaults/linux-64::tornado==6.4.1=py312h5eee18b_0[md5=f4e2217ac077eff9684df8162125acc0]
    - defaults/linux-64::tqdm==4.66.5=py312he106c6f_0[md5=099959333950bef1a3d7d12133cbfafc]
    - defaults/linux-64::traitlets==5.14.3=py312h06a4308_0[md5=e597b4bbf8d30abd7ae5ac5d4a436176]
    - defaults/linux-64::truststore==0.8.0=py312h06a4308_0[md5=ad93bd626fc17c1606394fe258b4ed18]
    - defaults/linux-64::twisted==23.10.0=py312h06a4308_0[md5=e0a055382d5e1ab88440570885366def]
    - defaults/linux-64::typing-extensions==4.11.0=py312h06a4308_0[md5=181af932ad0824456dc3e6173c38b5c6]
    - defaults/linux-64::typing_extensions==4.11.0=py312h06a4308_0[md5=3045aa097a86bc6a13702fc3c287b5a4]
    - defaults/linux-64::uc-micro-py==1.0.1=py312h06a4308_0[md5=3d8e7d6a99dad7ed2d84624b23b014c5]
    - defaults/linux-64::ujson==5.10.0=py312h6a678d5_0[md5=b49a25a1cbc9081fbde13a5173b15859]
    - defaults/linux-64::unicodedata2==15.1.0=py312h5eee18b_0[md5=b4759c926ac7543d4c845d7f984250e3]
    - defaults/linux-64::unidecode==1.3.8=py312h06a4308_0[md5=0f3721438ef2de28e3ac03722c4ac217]
    - defaults/linux-64::unixodbc==2.3.11=h5eee18b_0[md5=e9778769e924f6964b892ad07abbabb6]
    - defaults/linux-64::urllib3==2.2.3=py312h06a4308_0[md5=08b5f80f188ed801e9f463124a481289]
    - defaults/linux-64::utf8proc==2.6.1=h5eee18b_1[md5=70584a9ac726e2f362e229edb7375da4]
    - defaults/linux-64::watchdog==4.0.1=py312h06a4308_0[md5=7cd659167e2c8149985b2d6b14479b11]
    - defaults/linux-64::webencodings==0.5.1=py312h06a4308_2[md5=b93cb387bcd155121150257dbcf8eb28]
    - defaults/linux-64::websocket-client==1.8.0=py312h06a4308_0[md5=3c9d8408c05942366b679ff8b439179c]
    - defaults/linux-64::werkzeug==3.0.3=py312h06a4308_0[md5=eb09edb14764727576cbb980faeca003]
    - defaults/linux-64::whatthepatch==1.0.2=py312h06a4308_0[md5=1c672308e76b20591c39c867c15cfb71]
    - defaults/linux-64::wheel==0.44.0=py312h06a4308_0[md5=6d495438dd44e8f16b1a05d0a8648644]
    - defaults/linux-64::widgetsnbextension==3.6.6=py312h06a4308_0[md5=9ef174a78b562586e20f1cf6a9e04ba3]
    - defaults/linux-64::wrapt==1.14.1=py312h5eee18b_0[md5=1bf44b72940e1476bc3d239e0a2d1df1]
    - defaults/linux-64::wurlitzer==3.0.2=py312h06a4308_0[md5=86483c025d4d944c3586e6ca728017c1]
    - defaults/linux-64::xarray==2023.6.0=py312h06a4308_0[md5=b43bba50ad0baabcb3cb1b70d3e6916a]
    - defaults/linux-64::xyzservices==2022.9.0=py312h06a4308_1[md5=3ef654e64fb10094442be905975e83a4]
    - defaults/linux-64::xz==5.4.6=h5eee18b_1[md5=1562802f843297ee776a50b9329597ed]
    - 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=py312h06a4308_0[md5=c148f8a71907fd348c0e8862b4be32d8]
    - defaults/linux-64::yarl==1.11.0=py312h5eee18b_0[md5=a534512cde13175343ef56c879c3e059]
    - defaults/linux-64::zeromq==4.3.5=h6a678d5_0[md5=354c934a4a5500f4c455c630f2702dbc]
    - defaults/linux-64::zfp==1.0.0=h6a678d5_0[md5=0a3efe1ecf9929d1bb80f071b2908f2e]
    - defaults/linux-64::zict==3.0.0=py312h06a4308_0[md5=7ccb0f2ef13fa70400b3c556f8111f74]
    - defaults/linux-64::zipp==3.17.0=py312h06a4308_0[md5=0b4e62af7ada176ce15a5551e124225c]
    - 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==5.4.0=py312h5eee18b_0[md5=20b2e89d4c59c0855e8c19d238a75b92]
    - defaults/linux-64::zope==1.0=py312h06a4308_1[md5=b3c8f4f4521c7456c07e00dd048f0ec5]
    - defaults/linux-64::zstandard==0.23.0=py312h2c38b39_0[md5=6128bfbcbc551afe6cad2af1c8493a1c]
    - 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::asttokens==2.0.5=pyhd3eb1b0_0[md5=140486e2ce4f3931b44aa5f7ff8d88da]
    - defaults/noarch::atomicwrites==1.4.0=py_0[md5=7035266b832ca44ca8655ced0a397eaa]
    - defaults/noarch::automat==20.2.0=py_0[md5=d7473c2f9d0dd6d090c8c3e78aaa69b4]
    - defaults/noarch::autopep8==2.0.4=pyhd3eb1b0_0[md5=83d827c891de466d378575ede743394c]
    - defaults/noarch::binaryornot==0.4.4=pyhd3eb1b0_1[md5=986537735cddee7238d27507dd913e08]
    - defaults/noarch::bleach==4.1.0=pyhd3eb1b0_0[md5=256eb7e384e35f993ef8ccd6c4f45e58]
    - defaults/noarch::charset-normalizer==3.3.2=pyhd3eb1b0_0[md5=c6fea3691e85cf7f568b0618ec29fc4f]
    - defaults/noarch::conda-libmamba-solver==24.9.0=pyhd3eb1b0_0[md5=251a69a5bf578ef59fdf8255c7c25c5d]
    - defaults/noarch::conda-token==0.5.0=pyhd3eb1b0_0[md5=862db92647734f12a24ba9f30f99dc91]
    - 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==22.10.0=pyhd3eb1b0_0[md5=d25406dae82e99bafac84168aba8bd9b]
    - defaults/noarch::iniconfig==1.1.1=pyhd3eb1b0_0[md5=e40edff2c5708f342cef43c7f280c507]
    - defaults/noarch::intervaltree==3.1.0=pyhd3eb1b0_0[md5=9bf92b7e66bde3d696b51b0bc117c471]
    - defaults/noarch::ipython_genutils==0.2.0=pyhd3eb1b0_1[md5=553832c0b872a28088a0001fa2ba3822]
    - 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::json5==0.9.6=pyhd3eb1b0_0[md5=4e721ee2dbfa20069719d2ee19185031]
    - defaults/noarch::jsonpointer==2.1=pyhd3eb1b0_0[md5=298ff809e733cb04366e4e629c65aa8d]
    - defaults/noarch::jupyterlab_pygments==0.1.2=py_0[md5=af46aff4922ca45df6ba19b313df6070]
    - defaults/noarch::jupyterlab_widgets==1.0.0=pyhd3eb1b0_1[md5=9b1fcf8e060e6f4b05dce4b172259168]
    - defaults/noarch::mccabe==0.7.0=pyhd3eb1b0_0[md5=ca1f9fc150b211c60e802ed1b12ed43c]
    - defaults/noarch::pandocfilters==1.5.0=pyhd3eb1b0_0[md5=5547ced9e3bb4c513405998957b52c7b]
    - defaults/noarch::parso==0.8.3=pyhd3eb1b0_0[md5=c6f0f6219bf5ce2b510ef4b75cbc3e01]
    - defaults/noarch::pexpect==4.8.0=pyhd3eb1b0_3[md5=765b2562d6cdd14bb6d44fc170a04331]
    - defaults/noarch::pickleshare==0.7.5=pyhd3eb1b0_1003[md5=4a6363fd8dda664b95f99f7c5aa95abc]
    - defaults/noarch::prompt_toolkit==3.0.43=hd3eb1b0_0[md5=244c80adf85e37e2a4158d0f0c199566]
    - defaults/noarch::protego==0.1.16=py_0[md5=3a7af48c4b26dfd015c277fc68251f81]
    - 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==2023.3=pyhd3eb1b0_0[md5=479c037de0186d114b9911158427624e]
    - defaults/noarch::pyxdg==0.27=pyhd3eb1b0_0[md5=f0cfd9d548fcfae369342424bc3ea381]
    - defaults/noarch::qdarkstyle==3.2.3=pyhd3eb1b0_0[md5=b92affb6332947449d0a43eeb162700c]
    - defaults/noarch::requests-file==1.5.1=pyhd3eb1b0_0[md5=d4b63137b07532b614896d2e9490bdbd]
    - defaults/noarch::service_identity==18.1.0=pyhd3eb1b0_1[md5=08b5dfc97dca0eb418067dcba0a295ce]
    - defaults/noarch::six==1.16.0=pyhd3eb1b0_1[md5=34586824d411d36af2fa40e799c172d0]
    - 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==1.0.2=pyhd3eb1b0_0[md5=ac923499f97b9a9ab7c672b27cb2a1a8]
    - defaults/noarch::sphinxcontrib-devhelp==1.0.2=pyhd3eb1b0_0[md5=bc39c2b70430734b5879d6b504e3311f]
    - defaults/noarch::sphinxcontrib-htmlhelp==2.0.0=pyhd3eb1b0_0[md5=2af558ca8b56151110c7a3639a1ea348]
    - defaults/noarch::sphinxcontrib-jsmath==1.0.1=pyhd3eb1b0_0[md5=e43f8de7d6a717935ab220a0c957771d]
    - defaults/noarch::sphinxcontrib-qthelp==1.0.3=pyhd3eb1b0_0[md5=08d67f73f640b4d1e5e8890a324b60e3]
    - defaults/noarch::stack_data==0.2.0=pyhd3eb1b0_0[md5=6212968e73726f6da42e5ffcd2bea92d]
    - defaults/noarch::tblib==1.7.0=pyhd3eb1b0_0[md5=6af496367894a19ed9f0115bef20fd7d]
    - defaults/noarch::text-unidecode==1.3=pyhd3eb1b0_0[md5=001a50a0503bd64a26513d2855faacb0]
    - defaults/noarch::textdistance==4.2.1=pyhd3eb1b0_0[md5=81c3231172ab31bf12c7da03258f5b94]
    - defaults/noarch::three-merge==0.1.1=pyhd3eb1b0_0[md5=5ae0f5c203a35f7138e0199df9c7d5bc]
    - defaults/noarch::toml==0.10.2=pyhd3eb1b0_0[md5=cda05f5f6d8509529d1a2743288d197a]
    - defaults/noarch::tzdata==2024b=h04d1e81_0[md5=9be694715c6a65f9631bb1b242125e9d]
    - 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-2024.10-py312_mkl_0
  _libgcc_mutex      pkgs/main/linux-64::_libgcc_mutex-0.1-main
  _openmp_mutex      pkgs/main/linux-64::_openmp_mutex-5.1-1_gnu
  aiobotocore        pkgs/main/linux-64::aiobotocore-2.12.3-py312h06a4308_0
  aiohappyeyeballs   pkgs/main/linux-64::aiohappyeyeballs-2.4.0-py312h06a4308_0
  aiohttp            pkgs/main/linux-64::aiohttp-3.10.5-py312h5eee18b_0
  aioitertools       pkgs/main/noarch::aioitertools-0.7.1-pyhd3eb1b0_0
  aiosignal          pkgs/main/noarch::aiosignal-1.2.0-pyhd3eb1b0_0
  alabaster          pkgs/main/linux-64::alabaster-0.7.16-py312h06a4308_0
  altair             pkgs/main/linux-64::altair-5.0.1-py312h06a4308_0
  anaconda-anon-usa~ pkgs/main/linux-64::anaconda-anon-usage-0.4.4-py312hfc0e8ea_100
  anaconda-catalogs  pkgs/main/linux-64::anaconda-catalogs-0.2.0-py312h06a4308_1
  anaconda-client    pkgs/main/linux-64::anaconda-client-1.12.3-py312h06a4308_0
  anaconda-cloud-au~ pkgs/main/linux-64::anaconda-cloud-auth-0.5.1-py312h06a4308_0
  anaconda-navigator pkgs/main/linux-64::anaconda-navigator-2.6.3-py312h06a4308_0
  anaconda-project   pkgs/main/linux-64::anaconda-project-0.11.1-py312h06a4308_0
  annotated-types    pkgs/main/linux-64::annotated-types-0.6.0-py312h06a4308_0
  anyio              pkgs/main/linux-64::anyio-4.2.0-py312h06a4308_0
  aom                pkgs/main/linux-64::aom-3.6.0-h6a678d5_0
  appdirs            pkgs/main/noarch::appdirs-1.4.4-pyhd3eb1b0_0
  archspec           pkgs/main/noarch::archspec-0.2.3-pyhd3eb1b0_0
  argon2-cffi        pkgs/main/noarch::argon2-cffi-21.3.0-pyhd3eb1b0_0
  argon2-cffi-bindi~ pkgs/main/linux-64::argon2-cffi-bindings-21.2.0-py312h5eee18b_0
  arrow              pkgs/main/linux-64::arrow-1.2.3-py312h06a4308_1
  arrow-cpp          pkgs/main/linux-64::arrow-cpp-16.1.0-hc1eb8f0_0
  astroid            pkgs/main/linux-64::astroid-2.14.2-py312h06a4308_0
  astropy            pkgs/main/linux-64::astropy-6.1.3-py312h5eee18b_0
  astropy-iers-data  pkgs/main/linux-64::astropy-iers-data-0.2024.9.2.0.33.23-py312h06a4308_0
  asttokens          pkgs/main/noarch::asttokens-2.0.5-pyhd3eb1b0_0
  async-lru          pkgs/main/linux-64::async-lru-2.0.4-py312h06a4308_0
  atomicwrites       pkgs/main/noarch::atomicwrites-1.4.0-py_0
  attrs              pkgs/main/linux-64::attrs-23.1.0-py312h06a4308_0
  automat            pkgs/main/noarch::automat-20.2.0-py_0
  autopep8           pkgs/main/noarch::autopep8-2.0.4-pyhd3eb1b0_0
  aws-c-auth         pkgs/main/linux-64::aws-c-auth-0.6.19-h5eee18b_0
  aws-c-cal          pkgs/main/linux-64::aws-c-cal-0.5.20-hdbd6064_0
  aws-c-common       pkgs/main/linux-64::aws-c-common-0.8.5-h5eee18b_0
  aws-c-compression  pkgs/main/linux-64::aws-c-compression-0.2.16-h5eee18b_0
  aws-c-event-stream pkgs/main/linux-64::aws-c-event-stream-0.2.15-h6a678d5_0
  aws-c-http         pkgs/main/linux-64::aws-c-http-0.6.25-h5eee18b_0
  aws-c-io           pkgs/main/linux-64::aws-c-io-0.13.10-h5eee18b_0
  aws-c-mqtt         pkgs/main/linux-64::aws-c-mqtt-0.7.13-h5eee18b_0
  aws-c-s3           pkgs/main/linux-64::aws-c-s3-0.1.51-hdbd6064_0
  aws-c-sdkutils     pkgs/main/linux-64::aws-c-sdkutils-0.1.6-h5eee18b_0
  aws-checksums      pkgs/main/linux-64::aws-checksums-0.1.13-h5eee18b_0
  aws-crt-cpp        pkgs/main/linux-64::aws-crt-cpp-0.18.16-h6a678d5_0
  aws-sdk-cpp        pkgs/main/linux-64::aws-sdk-cpp-1.10.55-h721c034_0
  babel              pkgs/main/linux-64::babel-2.11.0-py312h06a4308_0
  bcrypt             pkgs/main/linux-64::bcrypt-3.2.0-py312h5eee18b_1
  beautifulsoup4     pkgs/main/linux-64::beautifulsoup4-4.12.3-py312h06a4308_0
  binaryornot        pkgs/main/noarch::binaryornot-0.4.4-pyhd3eb1b0_1
  black              pkgs/main/linux-64::black-24.8.0-py312h06a4308_0
  blas               pkgs/main/linux-64::blas-1.0-mkl
  bleach             pkgs/main/noarch::bleach-4.1.0-pyhd3eb1b0_0
  blinker            pkgs/main/linux-64::blinker-1.6.2-py312h06a4308_0
  blosc              pkgs/main/linux-64::blosc-1.21.3-h6a678d5_0
  bokeh              pkgs/main/linux-64::bokeh-3.6.0-py312h06a4308_0
  boltons            pkgs/main/linux-64::boltons-23.0.0-py312h06a4308_0
  boost-cpp          pkgs/main/linux-64::boost-cpp-1.82.0-hdb19cb5_2
  botocore           pkgs/main/linux-64::botocore-1.34.69-py312h06a4308_0
  bottleneck         pkgs/main/linux-64::bottleneck-1.3.7-py312ha883a20_0
  brotli             pkgs/main/linux-64::brotli-1.0.9-h5eee18b_8
  brotli-bin         pkgs/main/linux-64::brotli-bin-1.0.9-h5eee18b_8
  brotli-python      pkgs/main/linux-64::brotli-python-1.0.9-py312h6a678d5_8
  brunsli            pkgs/main/linux-64::brunsli-0.1-h2531618_0
  bzip2              pkgs/main/linux-64::bzip2-1.0.8-h5eee18b_6
  c-ares             pkgs/main/linux-64::c-ares-1.19.1-h5eee18b_0
  c-blosc2           pkgs/main/linux-64::c-blosc2-2.12.0-h80c7b02_0
  ca-certificates    pkgs/main/linux-64::ca-certificates-2024.9.24-h06a4308_0
  cachetools         pkgs/main/linux-64::cachetools-5.3.3-py312h06a4308_0
  certifi            pkgs/main/linux-64::certifi-2024.8.30-py312h06a4308_0
  cffi               pkgs/main/linux-64::cffi-1.17.1-py312h1fdaa30_0
  cfitsio            pkgs/main/linux-64::cfitsio-3.470-h5893167_7
  chardet            pkgs/main/linux-64::chardet-4.0.0-py312h06a4308_1003
  charls             pkgs/main/linux-64::charls-2.2.0-h2531618_0
  charset-normalizer pkgs/main/noarch::charset-normalizer-3.3.2-pyhd3eb1b0_0
  click              pkgs/main/linux-64::click-8.1.7-py312h06a4308_0
  cloudpickle        pkgs/main/linux-64::cloudpickle-3.0.0-py312h06a4308_0
  colorama           pkgs/main/linux-64::colorama-0.4.6-py312h06a4308_0
  colorcet           pkgs/main/linux-64::colorcet-3.1.0-py312h06a4308_0
  comm               pkgs/main/linux-64::comm-0.2.1-py312h06a4308_0
  conda              pkgs/main/linux-64::conda-24.9.2-py312h06a4308_0
  conda-build        pkgs/main/linux-64::conda-build-24.9.0-py312h06a4308_0
  conda-content-tru~ pkgs/main/linux-64::conda-content-trust-0.2.0-py312h06a4308_1
  conda-index        pkgs/main/linux-64::conda-index-0.5.0-py312h06a4308_0
  conda-libmamba-so~ pkgs/main/noarch::conda-libmamba-solver-24.9.0-pyhd3eb1b0_0
  conda-pack         pkgs/main/linux-64::conda-pack-0.7.1-py312h06a4308_0
  conda-package-han~ pkgs/main/linux-64::conda-package-handling-2.3.0-py312h06a4308_0
  conda-package-str~ pkgs/main/linux-64::conda-package-streaming-0.10.0-py312h06a4308_0
  conda-repo-cli     pkgs/main/linux-64::conda-repo-cli-1.0.114-py312h06a4308_0
  conda-token        pkgs/main/noarch::conda-token-0.5.0-pyhd3eb1b0_0
  constantly         pkgs/main/linux-64::constantly-23.10.4-py312h06a4308_0
  contourpy          pkgs/main/linux-64::contourpy-1.2.0-py312hdb19cb5_0
  cookiecutter       pkgs/main/linux-64::cookiecutter-2.6.0-py312h06a4308_0
  cryptography       pkgs/main/linux-64::cryptography-43.0.0-py312hdda0065_0
  cssselect          pkgs/main/linux-64::cssselect-1.2.0-py312h06a4308_0
  curl               pkgs/main/linux-64::curl-8.9.1-hdbd6064_0
  cycler             pkgs/main/noarch::cycler-0.11.0-pyhd3eb1b0_0
  cyrus-sasl         pkgs/main/linux-64::cyrus-sasl-2.1.28-h52b45da_1
  cytoolz            pkgs/main/linux-64::cytoolz-0.12.2-py312h5eee18b_0
  dask               pkgs/main/linux-64::dask-2024.8.2-py312h06a4308_0
  dask-core          pkgs/main/linux-64::dask-core-2024.8.2-py312h06a4308_0
  dask-expr          pkgs/main/linux-64::dask-expr-1.1.13-py312h06a4308_0
  datashader         pkgs/main/linux-64::datashader-0.16.3-py312h06a4308_0
  dav1d              pkgs/main/linux-64::dav1d-1.2.1-h5eee18b_0
  dbus               pkgs/main/linux-64::dbus-1.13.18-hb2f20db_0
  debugpy            pkgs/main/linux-64::debugpy-1.6.7-py312h6a678d5_0
  decorator          pkgs/main/noarch::decorator-5.1.1-pyhd3eb1b0_0
  defusedxml         pkgs/main/noarch::defusedxml-0.7.1-pyhd3eb1b0_0
  diff-match-patch   pkgs/main/noarch::diff-match-patch-20200713-pyhd3eb1b0_0
  dill               pkgs/main/linux-64::dill-0.3.8-py312h06a4308_0
  distributed        pkgs/main/linux-64::distributed-2024.8.2-py312h06a4308_0
  distro             pkgs/main/linux-64::distro-1.9.0-py312h06a4308_0
  docstring-to-mark~ pkgs/main/linux-64::docstring-to-markdown-0.11-py312h06a4308_0
  docutils           pkgs/main/linux-64::docutils-0.18.1-py312h06a4308_3
  et_xmlfile         pkgs/main/linux-64::et_xmlfile-1.1.0-py312h06a4308_1
  executing          pkgs/main/noarch::executing-0.8.3-pyhd3eb1b0_0
  expat              pkgs/main/linux-64::expat-2.6.3-h6a678d5_0
  filelock           pkgs/main/linux-64::filelock-3.13.1-py312h06a4308_0
  flake8             pkgs/main/linux-64::flake8-7.0.0-py312h06a4308_0
  flask              pkgs/main/linux-64::flask-3.0.3-py312h06a4308_0
  fmt                pkgs/main/linux-64::fmt-9.1.0-hdb19cb5_1
  fontconfig         pkgs/main/linux-64::fontconfig-2.14.1-h4c34cd2_2
  fonttools          pkgs/main/linux-64::fonttools-4.51.0-py312h5eee18b_0
  freetype           pkgs/main/linux-64::freetype-2.12.1-h4a9f257_0
  frozendict         pkgs/main/linux-64::frozendict-2.4.2-py312h06a4308_0
  frozenlist         pkgs/main/linux-64::frozenlist-1.4.0-py312h5eee18b_0
  fsspec             pkgs/main/linux-64::fsspec-2024.6.1-py312h06a4308_0
  gensim             pkgs/main/linux-64::gensim-4.3.3-py312h526ad5a_0
  gflags             pkgs/main/linux-64::gflags-2.2.2-h6a678d5_1
  giflib             pkgs/main/linux-64::giflib-5.2.1-h5eee18b_3
  gitdb              pkgs/main/noarch::gitdb-4.0.7-pyhd3eb1b0_0
  gitpython          pkgs/main/linux-64::gitpython-3.1.43-py312h06a4308_0
  glib               pkgs/main/linux-64::glib-2.78.4-h6a678d5_0
  glib-tools         pkgs/main/linux-64::glib-tools-2.78.4-h6a678d5_0
  glog               pkgs/main/linux-64::glog-0.5.0-h6a678d5_1
  greenlet           pkgs/main/linux-64::greenlet-3.0.1-py312h6a678d5_0
  gst-plugins-base   pkgs/main/linux-64::gst-plugins-base-1.14.1-h6a678d5_1
  gstreamer          pkgs/main/linux-64::gstreamer-1.14.1-h5eee18b_1
  h11                pkgs/main/linux-64::h11-0.14.0-py312h06a4308_0
  h5py               pkgs/main/linux-64::h5py-3.11.0-py312h34c39bb_0
  hdf5               pkgs/main/linux-64::hdf5-1.12.1-h2b7332f_3
  heapdict           pkgs/main/noarch::heapdict-1.0.1-pyhd3eb1b0_0
  holoviews          pkgs/main/linux-64::holoviews-1.19.1-py312h06a4308_0
  httpcore           pkgs/main/linux-64::httpcore-1.0.2-py312h06a4308_0
  httpx              pkgs/main/linux-64::httpx-0.27.0-py312h06a4308_0
  hvplot             pkgs/main/linux-64::hvplot-0.11.0-py312h06a4308_0
  hyperlink          pkgs/main/noarch::hyperlink-21.0.0-pyhd3eb1b0_0
  icu                pkgs/main/linux-64::icu-73.1-h6a678d5_0
  idna               pkgs/main/linux-64::idna-3.7-py312h06a4308_0
  imagecodecs        pkgs/main/linux-64::imagecodecs-2023.1.23-py312h81b8100_1
  imageio            pkgs/main/linux-64::imageio-2.33.1-py312h06a4308_0
  imagesize          pkgs/main/linux-64::imagesize-1.4.1-py312h06a4308_0
  imbalanced-learn   pkgs/main/linux-64::imbalanced-learn-0.12.3-py312h06a4308_1
  importlib-metadata pkgs/main/linux-64::importlib-metadata-7.0.1-py312h06a4308_0
  incremental        pkgs/main/noarch::incremental-22.10.0-pyhd3eb1b0_0
  inflection         pkgs/main/linux-64::inflection-0.5.1-py312h06a4308_1
  iniconfig          pkgs/main/noarch::iniconfig-1.1.1-pyhd3eb1b0_0
  intake             pkgs/main/linux-64::intake-2.0.7-py312h06a4308_0
  intel-openmp       pkgs/main/linux-64::intel-openmp-2023.1.0-hdb19cb5_46306
  intervaltree       pkgs/main/noarch::intervaltree-3.1.0-pyhd3eb1b0_0
  ipykernel          pkgs/main/linux-64::ipykernel-6.28.0-py312h06a4308_0
  ipython            pkgs/main/linux-64::ipython-8.27.0-py312h06a4308_0
  ipython_genutils   pkgs/main/noarch::ipython_genutils-0.2.0-pyhd3eb1b0_1
  ipywidgets         pkgs/main/linux-64::ipywidgets-7.8.1-py312h06a4308_0
  isort              pkgs/main/linux-64::isort-5.13.2-py312h06a4308_0
  itemadapter        pkgs/main/noarch::itemadapter-0.3.0-pyhd3eb1b0_0
  itemloaders        pkgs/main/linux-64::itemloaders-1.1.0-py312h06a4308_0
  itsdangerous       pkgs/main/linux-64::itsdangerous-2.2.0-py312h06a4308_0
  jaraco.classes     pkgs/main/noarch::jaraco.classes-3.2.1-pyhd3eb1b0_0
  jedi               pkgs/main/linux-64::jedi-0.19.1-py312h06a4308_0
  jeepney            pkgs/main/noarch::jeepney-0.7.1-pyhd3eb1b0_0
  jellyfish          pkgs/main/linux-64::jellyfish-1.0.1-py312hb02cf49_0
  jinja2             pkgs/main/linux-64::jinja2-3.1.4-py312h06a4308_0
  jmespath           pkgs/main/linux-64::jmespath-1.0.1-py312h06a4308_0
  joblib             pkgs/main/linux-64::joblib-1.4.2-py312h06a4308_0
  jpeg               pkgs/main/linux-64::jpeg-9e-h5eee18b_3
  jq                 pkgs/main/linux-64::jq-1.6-h27cfd23_1000
  json5              pkgs/main/noarch::json5-0.9.6-pyhd3eb1b0_0
  jsonpatch          pkgs/main/linux-64::jsonpatch-1.33-py312h06a4308_1
  jsonpointer        pkgs/main/noarch::jsonpointer-2.1-pyhd3eb1b0_0
  jsonschema         pkgs/main/linux-64::jsonschema-4.23.0-py312h06a4308_0
  jsonschema-specif~ pkgs/main/linux-64::jsonschema-specifications-2023.7.1-py312h06a4308_0
  jupyter            pkgs/main/linux-64::jupyter-1.0.0-py312h06a4308_9
  jupyter-lsp        pkgs/main/linux-64::jupyter-lsp-2.2.0-py312h06a4308_0
  jupyter_client     pkgs/main/linux-64::jupyter_client-8.6.0-py312h06a4308_0
  jupyter_console    pkgs/main/linux-64::jupyter_console-6.6.3-py312h06a4308_1
  jupyter_core       pkgs/main/linux-64::jupyter_core-5.7.2-py312h06a4308_0
  jupyter_events     pkgs/main/linux-64::jupyter_events-0.10.0-py312h06a4308_0
  jupyter_server     pkgs/main/linux-64::jupyter_server-2.14.1-py312h06a4308_0
  jupyter_server_te~ pkgs/main/linux-64::jupyter_server_terminals-0.4.4-py312h06a4308_1
  jupyterlab         pkgs/main/linux-64::jupyterlab-4.2.5-py312h06a4308_0
  jupyterlab-variab~ pkgs/main/linux-64::jupyterlab-variableinspector-3.1.0-py312h06a4308_0
  jupyterlab_pygmen~ pkgs/main/noarch::jupyterlab_pygments-0.1.2-py_0
  jupyterlab_server  pkgs/main/linux-64::jupyterlab_server-2.27.3-py312h06a4308_0
  jupyterlab_widgets pkgs/main/noarch::jupyterlab_widgets-1.0.0-pyhd3eb1b0_1
  jxrlib             pkgs/main/linux-64::jxrlib-1.1-h7b6447c_2
  keyring            pkgs/main/linux-64::keyring-24.3.1-py312h06a4308_0
  kiwisolver         pkgs/main/linux-64::kiwisolver-1.4.4-py312h6a678d5_0
  krb5               pkgs/main/linux-64::krb5-1.20.1-h143b758_1
  lazy-object-proxy  pkgs/main/linux-64::lazy-object-proxy-1.10.0-py312h5eee18b_0
  lazy_loader        pkgs/main/linux-64::lazy_loader-0.4-py312h06a4308_0
  lcms2              pkgs/main/linux-64::lcms2-2.12-h3be6417_0
  ld_impl_linux-64   pkgs/main/linux-64::ld_impl_linux-64-2.40-h12ee557_0
  lerc               pkgs/main/linux-64::lerc-3.0-h295c915_0
  libabseil          pkgs/main/linux-64::libabseil-20240116.2-cxx17_h6a678d5_0
  libaec             pkgs/main/linux-64::libaec-1.0.4-he6710b0_1
  libarchive         pkgs/main/linux-64::libarchive-3.6.2-h6ac8c49_3
  libavif            pkgs/main/linux-64::libavif-0.11.1-h5eee18b_0
  libboost           pkgs/main/linux-64::libboost-1.82.0-h109eef0_2
  libbrotlicommon    pkgs/main/linux-64::libbrotlicommon-1.0.9-h5eee18b_8
  libbrotlidec       pkgs/main/linux-64::libbrotlidec-1.0.9-h5eee18b_8
  libbrotlienc       pkgs/main/linux-64::libbrotlienc-1.0.9-h5eee18b_8
  libclang           pkgs/main/linux-64::libclang-14.0.6-default_hc6dbbc7_1
  libclang13         pkgs/main/linux-64::libclang13-14.0.6-default_he11475f_1
  libcups            pkgs/main/linux-64::libcups-2.4.2-h2d74bed_1
  libcurl            pkgs/main/linux-64::libcurl-8.9.1-h251f7ec_0
  libdeflate         pkgs/main/linux-64::libdeflate-1.17-h5eee18b_1
  libedit            pkgs/main/linux-64::libedit-3.1.20230828-h5eee18b_0
  libev              pkgs/main/linux-64::libev-4.33-h7f8727e_1
  libevent           pkgs/main/linux-64::libevent-2.1.12-hdbd6064_1
  libffi             pkgs/main/linux-64::libffi-3.4.4-h6a678d5_1
  libgcc-ng          pkgs/main/linux-64::libgcc-ng-11.2.0-h1234567_1
  libgfortran-ng     pkgs/main/linux-64::libgfortran-ng-11.2.0-h00389a5_1
  libgfortran5       pkgs/main/linux-64::libgfortran5-11.2.0-h1234567_1
  libglib            pkgs/main/linux-64::libglib-2.78.4-hdc74915_0
  libgomp            pkgs/main/linux-64::libgomp-11.2.0-h1234567_1
  libgrpc            pkgs/main/linux-64::libgrpc-1.62.2-h2d74bed_0
  libiconv           pkgs/main/linux-64::libiconv-1.16-h5eee18b_3
  liblief            pkgs/main/linux-64::liblief-0.12.3-h6a678d5_0
  libllvm14          pkgs/main/linux-64::libllvm14-14.0.6-hecde1de_4
  libmamba           pkgs/main/linux-64::libmamba-1.5.8-hfe524e5_2
  libmambapy         pkgs/main/linux-64::libmambapy-1.5.8-py312h2dafd23_2
  libnghttp2         pkgs/main/linux-64::libnghttp2-1.57.0-h2d74bed_0
  libpng             pkgs/main/linux-64::libpng-1.6.39-h5eee18b_0
  libpq              pkgs/main/linux-64::libpq-12.17-hdbd6064_0
  libprotobuf        pkgs/main/linux-64::libprotobuf-4.25.3-he621ea3_0
  libsodium          pkgs/main/linux-64::libsodium-1.0.18-h7b6447c_0
  libsolv            pkgs/main/linux-64::libsolv-0.7.24-he621ea3_1
  libspatialindex    pkgs/main/linux-64::libspatialindex-1.9.3-h2531618_0
  libssh2            pkgs/main/linux-64::libssh2-1.11.0-h251f7ec_0
  libstdcxx-ng       pkgs/main/linux-64::libstdcxx-ng-11.2.0-h1234567_1
  libthrift          pkgs/main/linux-64::libthrift-0.15.0-h1795dd8_2
  libtiff            pkgs/main/linux-64::libtiff-4.5.1-h6a678d5_0
  libuuid            pkgs/main/linux-64::libuuid-1.41.5-h5eee18b_0
  libwebp-base       pkgs/main/linux-64::libwebp-base-1.3.2-h5eee18b_0
  libxcb             pkgs/main/linux-64::libxcb-1.15-h7f8727e_0
  libxkbcommon       pkgs/main/linux-64::libxkbcommon-1.0.1-h5eee18b_1
  libxml2            pkgs/main/linux-64::libxml2-2.10.4-hfdd30dd_2
  libxslt            pkgs/main/linux-64::libxslt-1.1.37-h5eee18b_1
  libzopfli          pkgs/main/linux-64::libzopfli-1.0.3-he6710b0_0
  linkify-it-py      pkgs/main/linux-64::linkify-it-py-2.0.0-py312h06a4308_0
  llvmlite           pkgs/main/linux-64::llvmlite-0.43.0-py312h6a678d5_0
  locket             pkgs/main/linux-64::locket-1.0.0-py312h06a4308_0
  lxml               pkgs/main/linux-64::lxml-5.2.1-py312hdbbb534_0
  lz4                pkgs/main/linux-64::lz4-4.3.2-py312h5eee18b_0
  lz4-c              pkgs/main/linux-64::lz4-c-1.9.4-h6a678d5_1
  lzo                pkgs/main/linux-64::lzo-2.10-h7b6447c_2
  markdown           pkgs/main/linux-64::markdown-3.4.1-py312h06a4308_0
  markdown-it-py     pkgs/main/linux-64::markdown-it-py-2.2.0-py312h06a4308_1
  markupsafe         pkgs/main/linux-64::markupsafe-2.1.3-py312h5eee18b_0
  matplotlib         pkgs/main/linux-64::matplotlib-3.9.2-py312h06a4308_0
  matplotlib-base    pkgs/main/linux-64::matplotlib-base-3.9.2-py312h66fe004_0
  matplotlib-inline  pkgs/main/linux-64::matplotlib-inline-0.1.6-py312h06a4308_0
  mccabe             pkgs/main/noarch::mccabe-0.7.0-pyhd3eb1b0_0
  mdit-py-plugins    pkgs/main/linux-64::mdit-py-plugins-0.3.0-py312h06a4308_0
  mdurl              pkgs/main/linux-64::mdurl-0.1.0-py312h06a4308_0
  menuinst           pkgs/main/linux-64::menuinst-2.1.2-py312h06a4308_0
  mistune            pkgs/main/linux-64::mistune-2.0.4-py312h06a4308_0
  mkl                pkgs/main/linux-64::mkl-2023.1.0-h213fc3f_46344
  mkl-service        pkgs/main/linux-64::mkl-service-2.4.0-py312h5eee18b_1
  mkl_fft            pkgs/main/linux-64::mkl_fft-1.3.10-py312h5eee18b_0
  mkl_random         pkgs/main/linux-64::mkl_random-1.2.7-py312h526ad5a_0
  more-itertools     pkgs/main/linux-64::more-itertools-10.3.0-py312h06a4308_0
  mpmath             pkgs/main/linux-64::mpmath-1.3.0-py312h06a4308_0
  msgpack-python     pkgs/main/linux-64::msgpack-python-1.0.3-py312hdb19cb5_0
  multidict          pkgs/main/linux-64::multidict-6.0.4-py312h5eee18b_0
  multipledispatch   pkgs/main/linux-64::multipledispatch-0.6.0-py312h06a4308_0
  mypy               pkgs/main/linux-64::mypy-1.11.2-py312h5eee18b_0
  mypy_extensions    pkgs/main/linux-64::mypy_extensions-1.0.0-py312h06a4308_0
  mysql              pkgs/main/linux-64::mysql-5.7.24-h721c034_2
  navigator-updater  pkgs/main/linux-64::navigator-updater-0.5.1-py312h06a4308_0
  nbclient           pkgs/main/linux-64::nbclient-0.8.0-py312h06a4308_0
  nbconvert          pkgs/main/linux-64::nbconvert-7.16.4-py312h06a4308_0
  nbformat           pkgs/main/linux-64::nbformat-5.10.4-py312h06a4308_0
  ncurses            pkgs/main/linux-64::ncurses-6.4-h6a678d5_0
  nest-asyncio       pkgs/main/linux-64::nest-asyncio-1.6.0-py312h06a4308_0
  networkx           pkgs/main/linux-64::networkx-3.3-py312h06a4308_0
  nltk               pkgs/main/linux-64::nltk-3.9.1-py312h06a4308_0
  notebook           pkgs/main/linux-64::notebook-7.2.2-py312h06a4308_1
  notebook-shim      pkgs/main/linux-64::notebook-shim-0.2.3-py312h06a4308_0
  nspr               pkgs/main/linux-64::nspr-4.35-h6a678d5_0
  nss                pkgs/main/linux-64::nss-3.89.1-h6a678d5_0
  numba              pkgs/main/linux-64::numba-0.60.0-py312h526ad5a_0
  numexpr            pkgs/main/linux-64::numexpr-2.8.7-py312hf827012_0
  numpy              pkgs/main/linux-64::numpy-1.26.4-py312hc5e2394_0
  numpy-base         pkgs/main/linux-64::numpy-base-1.26.4-py312h0da6c21_0
  numpydoc           pkgs/main/linux-64::numpydoc-1.7.0-py312h06a4308_0
  oniguruma          pkgs/main/linux-64::oniguruma-6.9.7.1-h27cfd23_0
  openjpeg           pkgs/main/linux-64::openjpeg-2.5.2-he7f1fd0_0
  openpyxl           pkgs/main/linux-64::openpyxl-3.1.5-py312h5eee18b_0
  openssl            pkgs/main/linux-64::openssl-3.0.15-h5eee18b_0
  orc                pkgs/main/linux-64::orc-2.0.1-h2d29ad5_0
  overrides          pkgs/main/linux-64::overrides-7.4.0-py312h06a4308_0
  packaging          pkgs/main/linux-64::packaging-24.1-py312h06a4308_0
  pandas             pkgs/main/linux-64::pandas-2.2.2-py312h526ad5a_0
  pandocfilters      pkgs/main/noarch::pandocfilters-1.5.0-pyhd3eb1b0_0
  panel              pkgs/main/linux-64::panel-1.5.2-py312h06a4308_0
  param              pkgs/main/linux-64::param-2.1.1-py312h06a4308_0
  parsel             pkgs/main/linux-64::parsel-1.8.1-py312h06a4308_0
  parso              pkgs/main/noarch::parso-0.8.3-pyhd3eb1b0_0
  partd              pkgs/main/linux-64::partd-1.4.1-py312h06a4308_0
  patch              pkgs/main/linux-64::patch-2.7.6-h7b6447c_1001
  patchelf           pkgs/main/linux-64::patchelf-0.17.2-h6a678d5_0
  pathspec           pkgs/main/linux-64::pathspec-0.10.3-py312h06a4308_0
  patsy              pkgs/main/linux-64::patsy-0.5.6-py312h06a4308_0
  pcre2              pkgs/main/linux-64::pcre2-10.42-hebb0a14_1
  pexpect            pkgs/main/noarch::pexpect-4.8.0-pyhd3eb1b0_3
  pickleshare        pkgs/main/noarch::pickleshare-0.7.5-pyhd3eb1b0_1003
  pillow             pkgs/main/linux-64::pillow-10.4.0-py312h5eee18b_0
  pip                pkgs/main/linux-64::pip-24.2-py312h06a4308_0
  pkce               pkgs/main/linux-64::pkce-1.0.3-py312h06a4308_0
  pkginfo            pkgs/main/linux-64::pkginfo-1.10.0-py312h06a4308_0
  platformdirs       pkgs/main/linux-64::platformdirs-3.10.0-py312h06a4308_0
  plotly             pkgs/main/linux-64::plotly-5.24.1-py312he106c6f_0
  pluggy             pkgs/main/linux-64::pluggy-1.0.0-py312h06a4308_1
  ply                pkgs/main/linux-64::ply-3.11-py312h06a4308_1
  prometheus_client  pkgs/main/linux-64::prometheus_client-0.14.1-py312h06a4308_0
  prompt-toolkit     pkgs/main/linux-64::prompt-toolkit-3.0.43-py312h06a4308_0
  prompt_toolkit     pkgs/main/noarch::prompt_toolkit-3.0.43-hd3eb1b0_0
  protego            pkgs/main/noarch::protego-0.1.16-py_0
  protobuf           pkgs/main/linux-64::protobuf-4.25.3-py312h12ddb61_0
  psutil             pkgs/main/linux-64::psutil-5.9.0-py312h5eee18b_0
  ptyprocess         pkgs/main/noarch::ptyprocess-0.7.0-pyhd3eb1b0_2
  pure_eval          pkgs/main/noarch::pure_eval-0.2.2-pyhd3eb1b0_0
  py-cpuinfo         pkgs/main/linux-64::py-cpuinfo-9.0.0-py312h06a4308_0
  py-lief            pkgs/main/linux-64::py-lief-0.12.3-py312h6a678d5_0
  pyarrow            pkgs/main/linux-64::pyarrow-16.1.0-py312h526ad5a_0
  pyasn1             pkgs/main/noarch::pyasn1-0.4.8-pyhd3eb1b0_0
  pyasn1-modules     pkgs/main/noarch::pyasn1-modules-0.2.8-py_0
  pybind11-abi       pkgs/main/noarch::pybind11-abi-5-hd3eb1b0_0
  pycodestyle        pkgs/main/linux-64::pycodestyle-2.11.1-py312h06a4308_0
  pycosat            pkgs/main/linux-64::pycosat-0.6.6-py312h5eee18b_1
  pycparser          pkgs/main/noarch::pycparser-2.21-pyhd3eb1b0_0
  pyct               pkgs/main/linux-64::pyct-0.5.0-py312h06a4308_0
  pycurl             pkgs/main/linux-64::pycurl-7.45.3-py312hdbd6064_0
  pydantic           pkgs/main/linux-64::pydantic-2.8.2-py312h06a4308_0
  pydantic-core      pkgs/main/linux-64::pydantic-core-2.20.1-py312hb02cf49_0
  pydeck             pkgs/main/linux-64::pydeck-0.8.0-py312h06a4308_2
  pydispatcher       pkgs/main/linux-64::pydispatcher-2.0.5-py312h06a4308_3
  pydocstyle         pkgs/main/linux-64::pydocstyle-6.3.0-py312h06a4308_0
  pyerfa             pkgs/main/linux-64::pyerfa-2.0.1.4-py312ha883a20_0
  pyflakes           pkgs/main/linux-64::pyflakes-3.2.0-py312h06a4308_0
  pygments           pkgs/main/linux-64::pygments-2.15.1-py312h06a4308_1
  pyjwt              pkgs/main/linux-64::pyjwt-2.8.0-py312h06a4308_0
  pylint             pkgs/main/linux-64::pylint-2.16.2-py312h06a4308_0
  pylint-venv        pkgs/main/linux-64::pylint-venv-3.0.3-py312h06a4308_0
  pyls-spyder        pkgs/main/noarch::pyls-spyder-0.4.0-pyhd3eb1b0_0
  pyodbc             pkgs/main/linux-64::pyodbc-5.1.0-py312h6a678d5_0
  pyopenssl          pkgs/main/linux-64::pyopenssl-24.2.1-py312h06a4308_0
  pyparsing          pkgs/main/linux-64::pyparsing-3.1.2-py312h06a4308_0
  pyqt               pkgs/main/linux-64::pyqt-5.15.10-py312h6a678d5_0
  pyqt5-sip          pkgs/main/linux-64::pyqt5-sip-12.13.0-py312h5eee18b_0
  pyqtwebengine      pkgs/main/linux-64::pyqtwebengine-5.15.10-py312h6a678d5_0
  pysocks            pkgs/main/linux-64::pysocks-1.7.1-py312h06a4308_0
  pytables           pkgs/main/linux-64::pytables-3.10.1-py312h387d6ec_0
  pytest             pkgs/main/linux-64::pytest-7.4.4-py312h06a4308_0
  python             pkgs/main/linux-64::python-3.12.7-h5148396_0
  python-dateutil    pkgs/main/linux-64::python-dateutil-2.9.0post0-py312h06a4308_2
  python-dotenv      pkgs/main/linux-64::python-dotenv-0.21.0-py312h06a4308_0
  python-fastjsonsc~ pkgs/main/linux-64::python-fastjsonschema-2.16.2-py312h06a4308_0
  python-json-logger pkgs/main/linux-64::python-json-logger-2.0.7-py312h06a4308_0
  python-libarchive~ pkgs/main/noarch::python-libarchive-c-5.1-pyhd3eb1b0_0
  python-lmdb        pkgs/main/linux-64::python-lmdb-1.4.1-py312h6a678d5_0
  python-lsp-black   pkgs/main/linux-64::python-lsp-black-2.0.0-py312h06a4308_0
  python-lsp-jsonrpc pkgs/main/noarch::python-lsp-jsonrpc-1.1.2-pyhd3eb1b0_0
  python-lsp-server  pkgs/main/linux-64::python-lsp-server-1.10.0-py312h06a4308_0
  python-slugify     pkgs/main/noarch::python-slugify-5.0.2-pyhd3eb1b0_0
  python-tzdata      pkgs/main/noarch::python-tzdata-2023.3-pyhd3eb1b0_0
  pytoolconfig       pkgs/main/linux-64::pytoolconfig-1.2.6-py312h06a4308_0
  pytz               pkgs/main/linux-64::pytz-2024.1-py312h06a4308_0
  pyviz_comms        pkgs/main/linux-64::pyviz_comms-3.0.2-py312h06a4308_0
  pywavelets         pkgs/main/linux-64::pywavelets-1.7.0-py312h5eee18b_0
  pyxdg              pkgs/main/noarch::pyxdg-0.27-pyhd3eb1b0_0
  pyyaml             pkgs/main/linux-64::pyyaml-6.0.1-py312h5eee18b_0
  pyzmq              pkgs/main/linux-64::pyzmq-25.1.2-py312h6a678d5_0
  qdarkstyle         pkgs/main/noarch::qdarkstyle-3.2.3-pyhd3eb1b0_0
  qstylizer          pkgs/main/linux-64::qstylizer-0.2.2-py312h06a4308_0
  qt-main            pkgs/main/linux-64::qt-main-5.15.2-h53bd1ea_10
  qt-webengine       pkgs/main/linux-64::qt-webengine-5.15.9-h9ab4d14_7
  qtawesome          pkgs/main/linux-64::qtawesome-1.3.1-py312h06a4308_0
  qtconsole          pkgs/main/linux-64::qtconsole-5.5.1-py312h06a4308_0
  qtpy               pkgs/main/linux-64::qtpy-2.4.1-py312h06a4308_0
  queuelib           pkgs/main/linux-64::queuelib-1.6.2-py312h06a4308_0
  re2                pkgs/main/linux-64::re2-2022.04.01-h295c915_0
  readline           pkgs/main/linux-64::readline-8.2-h5eee18b_0
  referencing        pkgs/main/linux-64::referencing-0.30.2-py312h06a4308_0
  regex              pkgs/main/linux-64::regex-2024.9.11-py312h5eee18b_0
  reproc             pkgs/main/linux-64::reproc-14.2.4-h6a678d5_2
  reproc-cpp         pkgs/main/linux-64::reproc-cpp-14.2.4-h6a678d5_2
  requests           pkgs/main/linux-64::requests-2.32.3-py312h06a4308_0
  requests-file      pkgs/main/noarch::requests-file-1.5.1-pyhd3eb1b0_0
  requests-toolbelt  pkgs/main/linux-64::requests-toolbelt-1.0.0-py312h06a4308_0
  rfc3339-validator  pkgs/main/linux-64::rfc3339-validator-0.1.4-py312h06a4308_0
  rfc3986-validator  pkgs/main/linux-64::rfc3986-validator-0.1.1-py312h06a4308_0
  rich               pkgs/main/linux-64::rich-13.7.1-py312h06a4308_0
  rope               pkgs/main/linux-64::rope-1.12.0-py312h06a4308_0
  rpds-py            pkgs/main/linux-64::rpds-py-0.10.6-py312hb02cf49_0
  rtree              pkgs/main/linux-64::rtree-1.0.1-py312h06a4308_0
  ruamel.yaml        pkgs/main/linux-64::ruamel.yaml-0.18.6-py312h5eee18b_0
  ruamel.yaml.clib   pkgs/main/linux-64::ruamel.yaml.clib-0.2.8-py312h5eee18b_0
  ruamel_yaml        pkgs/main/linux-64::ruamel_yaml-0.17.21-py312h5eee18b_0
  s2n                pkgs/main/linux-64::s2n-1.3.27-hdbd6064_0
  s3fs               pkgs/main/linux-64::s3fs-2024.6.1-py312h06a4308_0
  scikit-image       pkgs/main/linux-64::scikit-image-0.24.0-py312h526ad5a_0
  scikit-learn       pkgs/main/linux-64::scikit-learn-1.5.1-py312h526ad5a_0
  scipy              pkgs/main/linux-64::scipy-1.13.1-py312hc5e2394_0
  scrapy             pkgs/main/linux-64::scrapy-2.11.1-py312h06a4308_0
  seaborn            pkgs/main/linux-64::seaborn-0.13.2-py312h06a4308_0
  secretstorage      pkgs/main/linux-64::secretstorage-3.3.1-py312h06a4308_1
  semver             pkgs/main/linux-64::semver-3.0.2-py312h06a4308_0
  send2trash         pkgs/main/linux-64::send2trash-1.8.2-py312h06a4308_0
  service_identity   pkgs/main/noarch::service_identity-18.1.0-pyhd3eb1b0_1
  setuptools         pkgs/main/linux-64::setuptools-75.1.0-py312h06a4308_0
  sip                pkgs/main/linux-64::sip-6.7.12-py312h6a678d5_0
  six                pkgs/main/noarch::six-1.16.0-pyhd3eb1b0_1
  smart_open         pkgs/main/linux-64::smart_open-5.2.1-py312h06a4308_0
  smmap              pkgs/main/noarch::smmap-4.0.0-pyhd3eb1b0_0
  snappy             pkgs/main/linux-64::snappy-1.2.1-h6a678d5_0
  sniffio            pkgs/main/linux-64::sniffio-1.3.0-py312h06a4308_0
  snowballstemmer    pkgs/main/noarch::snowballstemmer-2.2.0-pyhd3eb1b0_0
  sortedcontainers   pkgs/main/noarch::sortedcontainers-2.4.0-pyhd3eb1b0_0
  soupsieve          pkgs/main/linux-64::soupsieve-2.5-py312h06a4308_0
  sphinx             pkgs/main/linux-64::sphinx-7.3.7-py312h5eee18b_0
  sphinxcontrib-app~ pkgs/main/noarch::sphinxcontrib-applehelp-1.0.2-pyhd3eb1b0_0
  sphinxcontrib-dev~ pkgs/main/noarch::sphinxcontrib-devhelp-1.0.2-pyhd3eb1b0_0
  sphinxcontrib-htm~ pkgs/main/noarch::sphinxcontrib-htmlhelp-2.0.0-pyhd3eb1b0_0
  sphinxcontrib-jsm~ pkgs/main/noarch::sphinxcontrib-jsmath-1.0.1-pyhd3eb1b0_0
  sphinxcontrib-qth~ pkgs/main/noarch::sphinxcontrib-qthelp-1.0.3-pyhd3eb1b0_0
  sphinxcontrib-ser~ pkgs/main/linux-64::sphinxcontrib-serializinghtml-1.1.10-py312h06a4308_0
  spyder             pkgs/main/linux-64::spyder-5.5.1-py312h06a4308_4
  spyder-kernels     pkgs/main/linux-64::spyder-kernels-2.5.0-py312h06a4308_0
  sqlalchemy         pkgs/main/linux-64::sqlalchemy-2.0.34-py312h00e1ef3_0
  sqlite             pkgs/main/linux-64::sqlite-3.45.3-h5eee18b_0
  stack_data         pkgs/main/noarch::stack_data-0.2.0-pyhd3eb1b0_0
  statsmodels        pkgs/main/linux-64::statsmodels-0.14.2-py312ha883a20_0
  streamlit          pkgs/main/linux-64::streamlit-1.37.1-py312h06a4308_0
  sympy              pkgs/main/linux-64::sympy-1.13.2-py312h06a4308_0
  tabulate           pkgs/main/linux-64::tabulate-0.9.0-py312h06a4308_0
  tbb                pkgs/main/linux-64::tbb-2021.8.0-hdb19cb5_0
  tblib              pkgs/main/noarch::tblib-1.7.0-pyhd3eb1b0_0
  tenacity           pkgs/main/linux-64::tenacity-8.2.3-py312h06a4308_0
  terminado          pkgs/main/linux-64::terminado-0.17.1-py312h06a4308_0
  text-unidecode     pkgs/main/noarch::text-unidecode-1.3-pyhd3eb1b0_0
  textdistance       pkgs/main/noarch::textdistance-4.2.1-pyhd3eb1b0_0
  threadpoolctl      pkgs/main/linux-64::threadpoolctl-3.5.0-py312he106c6f_0
  three-merge        pkgs/main/noarch::three-merge-0.1.1-pyhd3eb1b0_0
  tifffile           pkgs/main/linux-64::tifffile-2023.4.12-py312h06a4308_0
  tinycss2           pkgs/main/linux-64::tinycss2-1.2.1-py312h06a4308_0
  tk                 pkgs/main/linux-64::tk-8.6.14-h39e8969_0
  tldextract         pkgs/main/linux-64::tldextract-5.1.2-py312h06a4308_0
  toml               pkgs/main/noarch::toml-0.10.2-pyhd3eb1b0_0
  tomli              pkgs/main/linux-64::tomli-2.0.1-py312h06a4308_1
  tomlkit            pkgs/main/linux-64::tomlkit-0.11.1-py312h06a4308_0
  toolz              pkgs/main/linux-64::toolz-0.12.0-py312h06a4308_0
  tornado            pkgs/main/linux-64::tornado-6.4.1-py312h5eee18b_0
  tqdm               pkgs/main/linux-64::tqdm-4.66.5-py312he106c6f_0
  traitlets          pkgs/main/linux-64::traitlets-5.14.3-py312h06a4308_0
  truststore         pkgs/main/linux-64::truststore-0.8.0-py312h06a4308_0
  twisted            pkgs/main/linux-64::twisted-23.10.0-py312h06a4308_0
  typing-extensions  pkgs/main/linux-64::typing-extensions-4.11.0-py312h06a4308_0
  typing_extensions  pkgs/main/linux-64::typing_extensions-4.11.0-py312h06a4308_0
  tzdata             pkgs/main/noarch::tzdata-2024b-h04d1e81_0
  uc-micro-py        pkgs/main/linux-64::uc-micro-py-1.0.1-py312h06a4308_0
  ujson              pkgs/main/linux-64::ujson-5.10.0-py312h6a678d5_0
  unicodedata2       pkgs/main/linux-64::unicodedata2-15.1.0-py312h5eee18b_0
  unidecode          pkgs/main/linux-64::unidecode-1.3.8-py312h06a4308_0
  unixodbc           pkgs/main/linux-64::unixodbc-2.3.11-h5eee18b_0
  urllib3            pkgs/main/linux-64::urllib3-2.2.3-py312h06a4308_0
  utf8proc           pkgs/main/linux-64::utf8proc-2.6.1-h5eee18b_1
  w3lib              pkgs/main/noarch::w3lib-1.21.0-pyhd3eb1b0_0
  watchdog           pkgs/main/linux-64::watchdog-4.0.1-py312h06a4308_0
  wcwidth            pkgs/main/noarch::wcwidth-0.2.5-pyhd3eb1b0_0
  webencodings       pkgs/main/linux-64::webencodings-0.5.1-py312h06a4308_2
  websocket-client   pkgs/main/linux-64::websocket-client-1.8.0-py312h06a4308_0
  werkzeug           pkgs/main/linux-64::werkzeug-3.0.3-py312h06a4308_0
  whatthepatch       pkgs/main/linux-64::whatthepatch-1.0.2-py312h06a4308_0
  wheel              pkgs/main/linux-64::wheel-0.44.0-py312h06a4308_0
  widgetsnbextension pkgs/main/linux-64::widgetsnbextension-3.6.6-py312h06a4308_0
  wrapt              pkgs/main/linux-64::wrapt-1.14.1-py312h5eee18b_0
  wurlitzer          pkgs/main/linux-64::wurlitzer-3.0.2-py312h06a4308_0
  xarray             pkgs/main/linux-64::xarray-2023.6.0-py312h06a4308_0
  xyzservices        pkgs/main/linux-64::xyzservices-2022.9.0-py312h06a4308_1
  xz                 pkgs/main/linux-64::xz-5.4.6-h5eee18b_1
  yaml               pkgs/main/linux-64::yaml-0.2.5-h7b6447c_0
  yaml-cpp           pkgs/main/linux-64::yaml-cpp-0.8.0-h6a678d5_1
  yapf               pkgs/main/linux-64::yapf-0.40.2-py312h06a4308_0
  yarl               pkgs/main/linux-64::yarl-1.11.0-py312h5eee18b_0
  zeromq             pkgs/main/linux-64::zeromq-4.3.5-h6a678d5_0
  zfp                pkgs/main/linux-64::zfp-1.0.0-h6a678d5_0
  zict               pkgs/main/linux-64::zict-3.0.0-py312h06a4308_0
  zipp               pkgs/main/linux-64::zipp-3.17.0-py312h06a4308_0
  zlib               pkgs/main/linux-64::zlib-1.2.13-h5eee18b_1
  zlib-ng            pkgs/main/linux-64::zlib-ng-2.0.7-h5eee18b_0
  zope               pkgs/main/linux-64::zope-1.0-py312h06a4308_1
  zope.interface     pkgs/main/linux-64::zope.interface-5.4.0-py312h5eee18b_0
  zstandard          pkgs/main/linux-64::zstandard-0.23.0-py312h2c38b39_0
  zstd               pkgs/main/linux-64::zstd-1.5.6-hc292b87_0



Downloading and Extracting Packages:

Preparing transaction: done
Executing transaction: done
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 false

You 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/python3.12/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!

要使得conda立即可用，需要重新打开shell，可以先exit，然后再用ssh连接

配置conda源和创建虚拟环境

然后可以用conda创建虚拟环境了

conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
conda config --set show_channel_urls yes

conda create -n comfyenv
conda activate comfyenv

(base) root@iv-ydrr1odszkwh2yo6rxhy:~# conda create -n comfyenv
Channels:
 - defaults
Platform: linux-64
Collecting package metadata (repodata.json): done
Solving environment: done

## Package Plan ##

  environment location: /root/anaconda3/envs/comfyenv



Proceed ([y]/n)? y
Invalid choice: conda activate comfyenvy
Proceed ([y]/n)?

Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
#     $ conda activate comfyenv
#
# To deactivate an active environment, use
#
#     $ conda deactivate

安装GPU依赖

下面这条命令需要比较长的时间才能完成，因为要下载很多包，这些包的大小比较大

#下行的命令是官方教程中的，如果你的GPU比较新，建议将pytorch-cuda=12.1替换为12.8，否则后续运行workflow时可能会遇到报错。
conda install pytorch torchvision torchaudio pytorch-cuda=12.1 -c pytorch -c nvidia

安装ComfyUI依赖和启动ComfyUI

cd ComfyUI
pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
pip install -r requirements.txt
#运行ComfyUI程序，默认情况下，只有本机才能通过web访问ComfyUI
python main.py
#若要让ComfyUI在0.0.0.0地址上监听，可以运行下行命令，如此所有ip都可以访问了
python main.py --listen 0.0.0.0

正常启动后，能看到下面的提示，从提示信息可以看出ComfyUI发现了本机安装了一张显卡，型号是NVIDIA RTX A2000 12GB

服务默认是在本地ip地址127.0.0.1上监听的，端口号是8188，这说明默认情况下，只有本机才能访问ComfyUI

停止ComfyUI服务

很简单，按ctrl+C组合键即可

如何使得局域网中的电脑可以通过浏览器访问ComfyUI

默认情况下，只有本机才能访问ComfyUI，但是由于本文是将ComfyUI安装在ubuntu server系统上的，没有图形界面，所以没法使用浏览器，要解决这个问题，很简单，只需要将监听地址改为0.0.0.0即可，方法也很简单，只需要加一个参数即可

python main.py --listen 0.0.0.0

如何安装ComfyUI-Manager

官方文档：Comfy-Org/ComfyUI-Manager: ComfyUI-Manager is an extension designed to enhance the usability of ComfyUI. It offers management functions to install, remove, disable, and enable various custom nodes of ComfyUI. Furthermore, this extension provides a hub feature and convenience functions to access a wide range of information within ComfyUI.

先停止ComfyUI，然后再开始安装comfyui-manager

cd custom_nodes/

git clone https://github.com/ltdrdata/ComfyUI-Manager comfyui-manager

#然后就可以重新启动ComfyUI了
python main.py --listen 0.0.0.0

现在就能看到manager按钮了：

其实，还有一种方法可以安装comfyui-manager，但是我发现最近更新时间是2024年11月16日，最好不要用这种方法安装comfyui-manager，以下是部分截图

Windows

在Windows系统上安装ComfyUI很简单，一条命令搞定

winget install --id Comfy.ComfyUI-Desktop --force
winget install --id Microsoft.Git --force

故障诊断

运行Python main.py后报错

具体报错如下：

Traceback (most recent call last):
  File "/home/ubuntu/ComfyUI/main.py", line 145, in <module>
    import comfy.utils
  File "/home/ubuntu/ComfyUI/comfy/utils.py", line 20, in <module>
    import torch
  File "/home/ubuntu/anaconda3/envs/comfy-env/lib/python3.12/site-packages/torch/__init__.py", line 367, in <module>
    from torch._C import *  # noqa: F403
    ^^^^^^^^^^^^^^^^^^^^^^
ImportError: /home/ubuntu/anaconda3/envs/comfy-env/lib/python3.12/site-packages/torch/lib/libtorch_cpu.so: undefined symbol: iJIT_NotifyEvent

这一般都是因为pytorch没有成功安装。通常卸载后，再次安装可以解决此问题。建议用pip安装

pip uninstall torch torchvision torchaudio

#如果显卡不是很旧的型号，建议用这条命令：pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu128
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121

用浏览器访问ComfyUI

web浏览器访问远程服务器安装的ComfyUI

打开浏览器，输入网址http://服务器ip或域名:8188

特别说明

如果将ComfyUI部署在远端，然后通过浏览器访问ComfyUI，则界面中不会出现“ComfyUI Manager”。要安装ComfyUI Manager也很简单，具体请参考：《ComfyUI详细安装教程及简要演示》注：如果是利用ComfyUI CLI安装ComfyUI的，则默认会自动安装ComfyUI manager。

如果安装在Windows系统上，并直接在本地打开ComfyUI，则会显示“ComfyUI Manager”

本地打开ComfyUI，还可以配置服务器，比如更改监听的ip地址和端口号

下载模型文件

利用cli下载模型文件

参考资料：Reference - ComfyUI

示例：

官方文档：Reference - ComfyUI

#用哪个ComfyUI CLI下载模型文件时，是可以指定目标目录的，这个目录目录是相对于当前ComfyUI的安装目录的，而不是绝对路径
comfy model download --url https://huggingface.co/Comfy-Org/stable-diffusion-v1-5-archive/resolve/main/v1-5-pruned-emaonly-fp16.safetensors --relative-path models/checkpoints

特别注意：如果配置了proxy，则可能会遇到这个报错：InvalidURL: Invalid port: ':'

建议取消proxy，然后换上hf-mirror的下载链接。

手工下载（推荐）

我一般是主动在huggingface、civitAI、modelscope等网站上找到所需的模型文件下载链接，然后利用迅雷、aria2、huggingface官方提供的CLI等工具下载模型文件，接着再拷贝到ComfyUI主机相应目录中。

例如，直接搜索模型文件名，一般第一个搜索结果就是huggingface上具体的模型文件详情页。

ComfyUI Manager下载

参考资料：Models - ComfyUI

这种方法虽然很简单，但是我发现其收录的模型数量很少，许多常用的模型还是没法通过这种方法下载。

用ComfyUI manager来一次性安装所有未安装的自定义节点是非常方便的。我一般都是通过ComfyUI manager来快捷安装nodes的。

添加外部模型路径

如果你想要在 ComfyUI/models 之外管理你的模型文件，可能出于以下原因:

你有多个 ComfyUI 实例，你想要让这些实例共享模型文件，从而减少磁盘占用
根挂载点空间不足，希望将模型文件放到其它磁盘
你有多个不同的类型的 GUI 程序，如：WebUI, 你想要他们共用模型文件
模型文件无法被识别或读取到

ComfyUI提供了通过 extra_model_paths.yaml 配置文件来添加额外模型搜索路径的方法。

我就是因为根挂载点空间不足了，所以需要添加额外的模型路径。操作也很简单。克隆代码仓库后，就能看到有一个示例配置文件ComfyUI/extra_model_paths.yaml.example，复制这个文件并改名为extra_model_paths.yaml

cp extra_model_paths.yaml.example extra_model_paths.yaml

打开文件后，会看到有说明，下面是我使用的yaml文件内容:

#Rename this to extra_model_paths.yaml and ComfyUI will load it


#config for a1111 ui
#all you have to do is change the base_path to where yours is installed
a111:
    base_path: path/to/stable-diffusion-webui/

    checkpoints: models/Stable-diffusion
    configs: models/Stable-diffusion
    vae: models/VAE
    loras: |
         models/Lora
         models/LyCORIS
    upscale_models: |
                  models/ESRGAN
                  models/RealESRGAN
                  models/SwinIR
    embeddings: embeddings
    hypernetworks: models/hypernetworks
    controlnet: models/ControlNet

#config for comfyui
#your base path should be either an existing comfy install or a central folder where you store all of your models, loras, etc.

comfyui:
     base_path: /comfyuimodels
     # You can use is_default to mark that these folders should be listed first, and used as the default dirs for eg downloads
     is_default: true
     checkpoints: models/checkpoints/
     clip: models/clip/
     clip_vision: models/clip_vision/
     configs: models/configs/
     controlnet: models/controlnet/
     diffusion_models: |
                  models/diffusion_models
                  models/unet
     embeddings: models/embeddings/
     loras: models/loras/
     upscale_models: models/upscale_models/
     vae: models/vae/

#other_ui:
#    base_path: path/to/ui
#    checkpoints: models/checkpoints
#    gligen: models/gligen
#    custom_nodes: path/custom_nodes

从上面的yaml文件内容可以看出，我指定了一个额外的模型文件搜索路径：/comfyuimodels，然后在此目录下创建了models目录，接着就是各种类型的目录了，这个结构与ComfyUI中默认的models目录结构是一致的。从下图可以看到/comfyuimodels是位于另外一个磁盘的，而且空间非常大。可以存放大量模型文件。

配置完成后，要重启ComfyUI才会生效，要想验证是否成功，也简单，就是下载一个model放入刚刚配置的目录中，比如我将lightx2v_I2V_14B_480p_cfg_step_distill_rank64_bf16.safetensors这个文件放入了目录/comfyuimodels/models/loras/

然后在ComfyUI中重新加载模型，接着点击了刷新按钮，就能看到这个lora了

利用ComfyUI生成图像

示例演示

安装好ComfyUI或，其自带一些工作流，第一次打开ComfyUI时，会自动打开一个工作流，这个工作流用到了模型“512-inpainting-ema.safetensors”。可以事先下载好，下载网址是：https://huggingface.co/stabilityai/stable-diffusion-2-inpainting/resolve/main/512-inpainting-ema.safetensors?download=true

由于国内无法直接访问Huggingface网站，解决这个问题很简单，只要将域名替换为hf-mirror.com即可，新的网址为：https://hf-mirror.com/stabilityai/stable-diffusion-2-inpainting/resolve/main/512-inpainting-ema.safetensors?download=true

如果没有大模型文件，打开工作流时会提示需要下载。下载完成后需要将模型文件放入ComfyUI/models/checkpoints这个目录，models目录中有多个目录，每个目录都有各自的用途，详情请查看官方文档Models - ComfyUI

然后就可以点击运行，生成图片了：

右击图片，可以将图片保存到本地

Wan2.1 VACE 视频生成示例

实验环境：

操作系统	ubuntu server 24.04.3
型号	thinkstation P3
CPU	Intel(R) Core(TM) i7-14700K
GPU	NVIDIA GeForce RTX 5080 16GB
内存	128GB
硬盘	1TB SSD+2*6TB HDD

配置系统级环境变量

注：根据测试，即使设置了下面的环境变量，comfyui仍然还是会从Huggingface.co网站下载模型文件

sudo nano /etc/environment
#在/etc/environment文件的尾部加上下面这行，然后保存，最后重启主机
HF_ENDPOINT=https://hf-mirror.com

下载模型文件

如果使用proxy，就可以直接在comfyui中下载模型文件了，非常方便，但是我也注意到，对于一些很大的模型，下载经常中断，而且不支持断点续传，所以最好还是单独利用别的下载工具（如迅雷、comfyui cli、aria2等等）下载好模型文件，然后放入对应的目录。

workflow中详细说明了各个文件应该放入哪个目录中。

运行workflow

经过了大约364秒，生成了一个5秒的视频，感觉效果一般。

InfiniteTalk数字人长视频（唱歌-对口型）

这个workflow的作用是，提供一张图片、一段音频还有提示词，就可以让图片中的人物开口说话，并根据提供的提示词做动作，口型几乎完美。很真实

实验环境

操作系统	ubuntu server 24.04.3
型号	thinkstation P3
CPU	Intel(R) Core(TM) i7-14700K
GPU	NVIDIA GeForce RTX 5080 16GB
内存	128GB
硬盘	1TB SSD+2*6TB HDD

结论

先说结论，最终没有成功，运行workflow时报错了，如下图，原因是显存不足。对于显卡性能不够的情况下，建议在runninghub上运行，速度很快，链接为:https://www.runninghub.cn/?inviteCode=vt7b2m8h

对于本地运行workflow，我还尝试过各种方式，但都没有成功，下面的命令都是我做的尝试

参考资料：How to Troubleshoot and Solve ComfyUI Model Issues - ComfyUI

comfy launch -- --listen 0.0.0.0 --lowvram
comfy launch -- --listen 0.0.0.0 --novram
comfy launch -- --listen 0.0.0.0 --cpu

workflow

直接打开我提供的workflow json文件

请至钉钉文档查看附件《InfiniteTalk数字人长视频（唱歌-对口型） (2).json》

也可以在此网页上下载workflow json文件：InfiniteTalk数字人长视频（唱歌-对口型） - RunningHub ComfyUI Workflow

安装必要依赖

打开workflow后会提示要安装自定义节点，直接利用ComfyUI manager安装即可，比较容易。需要注意的是，安装好自定义节点后，要重启ComfyUI才能生效。

此外，还需要额外安装几个Python模块

eval "$(/home/ubuntu/anaconda3/bin/conda shell.bash hook)"
conda activate comfy-env
pip install sageattention
pip install onnx onnxruntime

下载模型文件

用到模型比较多，我一般是在huggingface上下载的（用迅雷或者aria2命令行工具）。最终，models目录中有这些目录和文件：

注意：有些模型文件其实是别的workflow才需要的。

运行workflow

因为我的主机显存只有16GB，不足以运行此workflow。所以会报错。请查阅前文，建议用runninghub运行workflow

posted @ 2025-09-26 18:46 iamtornado 阅读(505) 评论(0) 收藏举报

刷新页面返回顶部

ComfyUI详细安装教程及简要演示

ComfyUI详细安装教程及简要演示

阅读原文

介绍ComfyUI

核心特点

使用场景

ComfyUI 与其他工具的区别

优势总结

安装ComfyUI

通过ComfyUI CLI快速安装ComfyUI（推荐）

实验环境

安装好NVIDIA显卡驱动

安装conda

创建虚拟环境

激活虚拟环境

在conda虚拟环境中安装pip

开始安装ComfyUI CLI

获取comfy shell的自动补全

开始安装ComfyUI

启动ComfyUI

在127.0.0.1上监听

在所有ip地址上监听

ComfyUI CLI如何新建一个workspace

Linux（传统方法）

克隆仓库和安装conda

配置conda源和创建虚拟环境

安装GPU依赖

安装ComfyUI依赖和启动ComfyUI

停止ComfyUI服务

如何使得局域网中的电脑可以通过浏览器访问ComfyUI

如何安装ComfyUI-Manager

Windows

故障诊断

运行Python main.py后报错

用浏览器访问ComfyUI

web浏览器访问远程服务器安装的ComfyUI

特别说明

下载模型文件

利用cli下载模型文件

手工下载（推荐）

ComfyUI Manager下载

添加外部模型路径

利用ComfyUI生成图像

示例演示

Wan2.1 VACE 视频生成示例

实验环境：

配置系统级环境变量

下载模型文件

运行workflow

InfiniteTalk数字人长视频（唱歌-对口型）

实验环境

结论

workflow

安装必要依赖

下载模型文件

运行workflow

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