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cff-version: 1.2.0
message: "If you use this work, please cite it using the following metadata."
title: "DeepSeek-V3 Technical Report"
authors:
- name: "DeepSeek-AI"
- name: "Aixin Liu"
- name: "Bei Feng"
- name: "Bing Xue"
- name: "Bingxuan Wang"
- name: "Bochao Wu"
- name: "Chengda Lu"
- name: "Chenggang Zhao"
- name: "Chengqi Deng"
- name: "Chenyu Zhang"
- name: "Chong Ruan"
- name: "Damai Dai"
- name: "Daya Guo"
- name: "Dejian Yang"
- name: "Deli Chen"
- name: "Dongjie Ji"
- name: "Erhang Li"
- name: "Fangyun Lin"
- name: "Fucong Dai"
- name: "Fuli Luo"
- name: "Guangbo Hao"
- name: "Guanting Chen"
- name: "Guowei Li"
- name: "H. Zhang"
- name: "Han Bao"
- name: "Hanwei Xu"
- name: "Haocheng Wang"
- name: "Haowei Zhang"
- name: "Honghui Ding"
- name: "Huajian Xin"
- name: "Huazuo Gao"
- name: "Hui Li"
- name: "Hui Qu"
- name: "J. L. Cai"
- name: "Jian Liang"
- name: "Jianzhong Guo"
- name: "Jiaqi Ni"
- name: "Jiashi Li"
- name: "Jiawei Wang"
- name: "Jin Chen"
- name: "Jingchang Chen"
- name: "Jingyang Yuan"
- name: "Junjie Qiu"
- name: "Junlong Li"
- name: "Junxiao Song"
- name: "Kai Dong"
- name: "Kai Hu"
- name: "Kaige Gao"
- name: "Kang Guan"
- name: "Kexin Huang"
- name: "Kuai Yu"
- name: "Lean Wang"
- name: "Lecong Zhang"
- name: "Lei Xu"
- name: "Leyi Xia"
- name: "Liang Zhao"
- name: "Litong Wang"
- name: "Liyue Zhang"
- name: "Meng Li"
- name: "Miaojun Wang"
- name: "Mingchuan Zhang"
- name: "Minghua Zhang"
- name: "Minghui Tang"
- name: "Mingming Li"
- name: "Ning Tian"
- name: "Panpan Huang"
- name: "Peiyi Wang"
- name: "Peng Zhang"
- name: "Qiancheng Wang"
- name: "Qihao Zhu"
- name: "Qinyu Chen"
- name: "Qiushi Du"
- name: "R. J. Chen"
- name: "R. L. Jin"
- name: "Ruiqi Ge"
- name: "Ruisong Zhang"
- name: "Ruizhe Pan"
- name: "Runji Wang"
- name: "Runxin Xu"
- name: "Ruoyu Zhang"
- name: "Ruyi Chen"
- name: "S. S. Li"
- name: "Shanghao Lu"
- name: "Shangyan Zhou"
- name: "Shanhuang Chen"
- name: "Shaoqing Wu"
- name: "Shengfeng Ye"
- name: "Shirong Ma"
- name: "Shiyu Wang"
- name: "Shuang Zhou"
- name: "Shuiping Yu"
- name: "Shunfeng Zhou"
- name: "Shuting Pan"
- name: "T. Wang"
- name: "Tao Yun"
- name: "Tian Pei"
- name: "Tianyu Sun"
- name: "W. L. Xiao"
- name: "Wangding Zeng"
- name: "Wanjia Zhao"
- name: "Wei An"
- name: "Wen Liu"
- name: "Wenfeng Liang"
- name: "Wenjun Gao"
- name: "Wenqin Yu"
- name: "Wentao Zhang"
- name: "X. Q. Li"
- name: "Xiangyue Jin"
- name: "Xianzu Wang"
- name: "Xiao Bi"
- name: "Xiaodong Liu"
- name: "Xiaohan Wang"
- name: "Xiaojin Shen"
- name: "Xiaokang Chen"
- name: "Xiaokang Zhang"
- name: "Xiaosha Chen"
- name: "Xiaotao Nie"
- name: "Xiaowen Sun"
- name: "Xiaoxiang Wang"
- name: "Xin Cheng"
- name: "Xin Liu"
- name: "Xin Xie"
- name: "Xingchao Liu"
- name: "Xingkai Yu"
- name: "Xinnan Song"
- name: "Xinxia Shan"
- name: "Xinyi Zhou"
- name: "Xinyu Yang"
- name: "Xinyuan Li"
- name: "Xuecheng Su"
- name: "Xuheng Lin"
- name: "Y. K. Li"
- name: "Y. Q. Wang"
- name: "Y. X. Wei"
- name: "Y. X. Zhu"
- name: "Yang Zhang"
- name: "Yanhong Xu"
- name: "Yanping Huang"
- name: "Yao Li"
- name: "Yao Zhao"
- name: "Yaofeng Sun"
- name: "Yaohui Li"
- name: "Yaohui Wang"
- name: "Yi Yu"
- name: "Yi Zheng"
- name: "Yichao Zhang"
- name: "Yifan Shi"
- name: "Yiliang Xiong"
- name: "Ying He"
- name: "Ying Tang"
- name: "Yishi Piao"
- name: "Yisong Wang"
- name: "Yixuan Tan"
- name: "Yiyang Ma"
- name: "Yiyuan Liu"
- name: "Yongqiang Guo"
- name: "Yu Wu"
- name: "Yuan Ou"
- name: "Yuchen Zhu"
- name: "Yuduan Wang"
- name: "Yue Gong"
- name: "Yuheng Zou"
- name: "Yujia He"
- name: "Yukun Zha"
- name: "Yunfan Xiong"
- name: "Yunxian Ma"
- name: "Yuting Yan"
- name: "Yuxiang Luo"
- name: "Yuxiang You"
- name: "Yuxuan Liu"
- name: "Yuyang Zhou"
- name: "Z. F. Wu"
- name: "Z. Z. Ren"
- name: "Zehui Ren"
- name: "Zhangli Sha"
- name: "Zhe Fu"
- name: "Zhean Xu"
- name: "Zhen Huang"
- name: "Zhen Zhang"
- name: "Zhenda Xie"
- name: "Zhengyan Zhang"
- name: "Zhewen Hao"
- name: "Zhibin Gou"
- name: "Zhicheng Ma"
- name: "Zhigang Yan"
- name: "Zhihong Shao"
- name: "Zhipeng Xu"
- name: "Zhiyu Wu"
- name: "Zhongyu Zhang"
- name: "Zhuoshu Li"
- name: "Zihui Gu"
- name: "Zijia Zhu"
- name: "Zijun Liu"
- name: "Zilin Li"
- name: "Ziwei Xie"
- name: "Ziyang Song"
- name: "Ziyi Gao"
- name: "Zizheng Pan"
year: 2024
identifiers:
- type: doi
value: 10.48550/arXiv.2412.19437
- type: arXiv
value: 2412.19437
url: "https://arxiv.org/abs/2412.19437"
categories:
- "cs.CL"
repository-code: "https://github.com/deepseek-ai/DeepSeek-V3"
license: "MIT"
abstract: >
We present DeepSeek-V3, a strong Mixture-of-Experts (MoE) language model with 671B total parameters with 37B activated for each token. To achieve efficient inference and cost-effective training, DeepSeek-V3 adopts Multi-head Latent Attention (MLA) and DeepSeekMoE architectures, which were thoroughly validated in DeepSeek-V2. Furthermore, DeepSeek-V3 pioneers an auxiliary-loss-free strategy for load balancing and sets a multi-token prediction training objective for stronger performance. We pre-train DeepSeek-V3 on 14.8 trillion diverse and high-quality tokens, followed by Supervised Fine-Tuning and Reinforcement Learning stages to fully harness its capabilities. Comprehensive evaluations reveal that DeepSeek-V3 outperforms other open-source models and achieves performance comparable to leading closed-source models. Despite its excellent performance, DeepSeek-V3 requires only 2.788M H800 GPU hours for its full training. In addition, its training process is remarkably stable. Throughout the entire training process, we did not experience any irrecoverable loss spikes or perform any rollbacks.

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MIT License
Copyright (c) 2023 DeepSeek
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

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DEEPSEEK LICENSE AGREEMENT
Version 1.0, 23 October 2023
Copyright (c) 2023 DeepSeek
Section I: PREAMBLE
Large generative models are being widely adopted and used, and have the potential to transform the way individuals conceive and benefit from AI or ML technologies.
Notwithstanding the current and potential benefits that these artifacts can bring to society at large, there are also concerns about potential misuses of them, either due to their technical limitations or ethical considerations.
In short, this license strives for both the open and responsible downstream use of the accompanying model. When it comes to the open character, we took inspiration from open source permissive licenses regarding the grant of IP rights. Referring to the downstream responsible use, we added use-based restrictions not permitting the use of the model in very specific scenarios, in order for the licensor to be able to enforce the license in case potential misuses of the Model may occur. At the same time, we strive to promote open and responsible research on generative models for content generation.
Even though downstream derivative versions of the model could be released under different licensing terms, the latter will always have to include - at minimum - the same use-based restrictions as the ones in the original license (this license). We believe in the intersection between open and responsible AI development; thus, this agreement aims to strike a balance between both in order to enable responsible open-science in the field of AI.
This License governs the use of the model (and its derivatives) and is informed by the model card associated with the model.
NOW THEREFORE, You and DeepSeek agree as follows:
1. Definitions
"License" means the terms and conditions for use, reproduction, and Distribution as defined in this document.
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"Model" means any accompanying machine-learning based assemblies (including checkpoints), consisting of learnt weights, parameters (including optimizer states), corresponding to the model architecture as embodied in the Complementary Material, that have been trained or tuned, in whole or in part on the Data, using the Complementary Material.
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Section III: CONDITIONS OF USAGE, DISTRIBUTION AND REDISTRIBUTION
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e. You may add Your own copyright statement to Your modifications and may provide additional or different license terms and conditions - respecting paragraph 4.a. – for use, reproduction, or Distribution of Your modifications, or for any such Derivatives of the Model as a whole, provided Your use, reproduction, and Distribution of the Model otherwise complies with the conditions stated in this License.
5. Use-based restrictions. The restrictions set forth in Attachment A are considered Use-based restrictions. Therefore You cannot use the Model and the Derivatives of the Model for the specified restricted uses. You may use the Model subject to this License, including only for lawful purposes and in accordance with the License. Use may include creating any content with, finetuning, updating, running, training, evaluating and/or reparametrizing the Model. You shall require all of Your users who use the Model or a Derivative of the Model to comply with the terms of this paragraph (paragraph 5).
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Section IV: OTHER PROVISIONS
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END OF TERMS AND CONDITIONS
Attachment A
Use Restrictions
You agree not to use the Model or Derivatives of the Model:
- In any way that violates any applicable national or international law or regulation or infringes upon the lawful rights and interests of any third party;
- For military use in any way;
- For the purpose of exploiting, harming or attempting to exploit or harm minors in any way;
- To generate or disseminate verifiably false information and/or content with the purpose of harming others;
- To generate or disseminate inappropriate content subject to applicable regulatory requirements;
- To generate or disseminate personal identifiable information without due authorization or for unreasonable use;
- To defame, disparage or otherwise harass others;
- For fully automated decision making that adversely impacts an individual’s legal rights or otherwise creates or modifies a binding, enforceable obligation;
- For any use intended to or which has the effect of discriminating against or harming individuals or groups based on online or offline social behavior or known or predicted personal or personality characteristics;
- To exploit any of the vulnerabilities of a specific group of persons based on their age, social, physical or mental characteristics, in order to materially distort the behavior of a person pertaining to that group in a manner that causes or is likely to cause that person or another person physical or psychological harm;
- For any use intended to or which has the effect of discriminating against individuals or groups based on legally protected characteristics or categories.

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<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<!-- markdownlint-disable no-duplicate-header -->
<div align="center">
<img src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/logo.svg?raw=true" width="60%" alt="DeepSeek-V3" />
</div>
<hr>
<div align="center" style="line-height: 1;">
<a href="https://www.deepseek.com/" target="_blank" style="margin: 2px;">
<img alt="Homepage" src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/badge.svg?raw=true" style="display: inline-block; vertical-align: middle;"/>
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<a href="https://huggingface.co/deepseek-ai" target="_blank" style="margin: 2px;">
<img alt="Hugging Face" src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-DeepSeek%20AI-ffc107?color=ffc107&logoColor=white" style="display: inline-block; vertical-align: middle;"/>
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<img alt="Discord" src="https://img.shields.io/badge/Discord-DeepSeek%20AI-7289da?logo=discord&logoColor=white&color=7289da" style="display: inline-block; vertical-align: middle;"/>
</a>
<a href="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/qr.jpeg?raw=true" target="_blank" style="margin: 2px;">
<img alt="Wechat" src="https://img.shields.io/badge/WeChat-DeepSeek%20AI-brightgreen?logo=wechat&logoColor=white" style="display: inline-block; vertical-align: middle;"/>
</a>
<a href="https://twitter.com/deepseek_ai" target="_blank" style="margin: 2px;">
<img alt="Twitter Follow" src="https://img.shields.io/badge/Twitter-deepseek_ai-white?logo=x&logoColor=white" style="display: inline-block; vertical-align: middle;"/>
</a>
</div>
<div align="center" style="line-height: 1;">
<a href="https://github.com/deepseek-ai/DeepSeek-V3/blob/main/LICENSE-CODE" style="margin: 2px;">
<img alt="Code License" src="https://img.shields.io/badge/Code_License-MIT-f5de53?&color=f5de53" style="display: inline-block; vertical-align: middle;"/>
</a>
<a href="https://github.com/deepseek-ai/DeepSeek-V3/blob/main/LICENSE-MODEL" style="margin: 2px;">
<img alt="Model License" src="https://img.shields.io/badge/Model_License-Model_Agreement-f5de53?&color=f5de53" style="display: inline-block; vertical-align: middle;"/>
</a>
</div>
<p align="center">
<a href="DeepSeek_V3.pdf"><b>Paper Link</b>👁️</a>
</p>
## 1. Introduction
We present DeepSeek-V3, a strong Mixture-of-Experts (MoE) language model with 671B total parameters with 37B activated for each token.
To achieve efficient inference and cost-effective training, DeepSeek-V3 adopts Multi-head Latent Attention (MLA) and DeepSeekMoE architectures, which were thoroughly validated in DeepSeek-V2.
Furthermore, DeepSeek-V3 pioneers an auxiliary-loss-free strategy for load balancing and sets a multi-token prediction training objective for stronger performance.
We pre-train DeepSeek-V3 on 14.8 trillion diverse and high-quality tokens, followed by Supervised Fine-Tuning and Reinforcement Learning stages to fully harness its capabilities.
Comprehensive evaluations reveal that DeepSeek-V3 outperforms other open-source models and achieves performance comparable to leading closed-source models.
Despite its excellent performance, DeepSeek-V3 requires only 2.788M H800 GPU hours for its full training.
In addition, its training process is remarkably stable.
Throughout the entire training process, we did not experience any irrecoverable loss spikes or perform any rollbacks.
<p align="center">
<img width="80%" src="figures/benchmark.png">
</p>
## 2. Model Summary
---
**Architecture: Innovative Load Balancing Strategy and Training Objective**
- On top of the efficient architecture of DeepSeek-V2, we pioneer an auxiliary-loss-free strategy for load balancing, which minimizes the performance degradation that arises from encouraging load balancing.
- We investigate a Multi-Token Prediction (MTP) objective and prove it beneficial to model performance.
It can also be used for speculative decoding for inference acceleration.
---
**Pre-Training: Towards Ultimate Training Efficiency**
- We design an FP8 mixed precision training framework and, for the first time, validate the feasibility and effectiveness of FP8 training on an extremely large-scale model.
- Through co-design of algorithms, frameworks, and hardware, we overcome the communication bottleneck in cross-node MoE training, nearly achieving full computation-communication overlap.
This significantly enhances our training efficiency and reduces the training costs, enabling us to further scale up the model size without additional overhead.
- At an economical cost of only 2.664M H800 GPU hours, we complete the pre-training of DeepSeek-V3 on 14.8T tokens, producing the currently strongest open-source base model. The subsequent training stages after pre-training require only 0.1M GPU hours.
---
**Post-Training: Knowledge Distillation from DeepSeek-R1**
- We introduce an innovative methodology to distill reasoning capabilities from the long-Chain-of-Thought (CoT) model, specifically from one of the DeepSeek R1 series models, into standard LLMs, particularly DeepSeek-V3. Our pipeline elegantly incorporates the verification and reflection patterns of R1 into DeepSeek-V3 and notably improves its reasoning performance. Meanwhile, we also maintain a control over the output style and length of DeepSeek-V3.
---
## 3. Model Downloads
<div align="center">
| **Model** | **#Total Params** | **#Activated Params** | **Context Length** | **Download** |
| :------------: | :------------: | :------------: | :------------: | :------------: |
| DeepSeek-V3-Base | 671B | 37B | 128K | [🤗 Hugging Face](https://huggingface.co/deepseek-ai/DeepSeek-V3-Base) |
| DeepSeek-V3 | 671B | 37B | 128K | [🤗 Hugging Face](https://huggingface.co/deepseek-ai/DeepSeek-V3) |
</div>
> [!NOTE]
> The total size of DeepSeek-V3 models on Hugging Face is 685B, which includes 671B of the Main Model weights and 14B of the Multi-Token Prediction (MTP) Module weights.**
To ensure optimal performance and flexibility, we have partnered with open-source communities and hardware vendors to provide multiple ways to run the model locally. For step-by-step guidance, check out Section 6: [How_to Run_Locally](#6-how-to-run-locally).
For developers looking to dive deeper, we recommend exploring [README_WEIGHTS.md](./README_WEIGHTS.md) for details on the Main Model weights and the Multi-Token Prediction (MTP) Modules. Please note that MTP support is currently under active development within the community, and we welcome your contributions and feedback.
## 4. Evaluation Results
### Base Model
#### Standard Benchmarks
<div align="center">
| | Benchmark (Metric) | # Shots | DeepSeek-V2 | Qwen2.5 72B | LLaMA3.1 405B | DeepSeek-V3 |
|---|-------------------|----------|--------|-------------|---------------|---------|
| | Architecture | - | MoE | Dense | Dense | MoE |
| | # Activated Params | - | 21B | 72B | 405B | 37B |
| | # Total Params | - | 236B | 72B | 405B | 671B |
| English | Pile-test (BPB) | - | 0.606 | 0.638 | **0.542** | 0.548 |
| | BBH (EM) | 3-shot | 78.8 | 79.8 | 82.9 | **87.5** |
| | MMLU (Acc.) | 5-shot | 78.4 | 85.0 | 84.4 | **87.1** |
| | MMLU-Redux (Acc.) | 5-shot | 75.6 | 83.2 | 81.3 | **86.2** |
| | MMLU-Pro (Acc.) | 5-shot | 51.4 | 58.3 | 52.8 | **64.4** |
| | DROP (F1) | 3-shot | 80.4 | 80.6 | 86.0 | **89.0** |
| | ARC-Easy (Acc.) | 25-shot | 97.6 | 98.4 | 98.4 | **98.9** |
| | ARC-Challenge (Acc.) | 25-shot | 92.2 | 94.5 | **95.3** | **95.3** |
| | HellaSwag (Acc.) | 10-shot | 87.1 | 84.8 | **89.2** | 88.9 |
| | PIQA (Acc.) | 0-shot | 83.9 | 82.6 | **85.9** | 84.7 |
| | WinoGrande (Acc.) | 5-shot | **86.3** | 82.3 | 85.2 | 84.9 |
| | RACE-Middle (Acc.) | 5-shot | 73.1 | 68.1 | **74.2** | 67.1 |
| | RACE-High (Acc.) | 5-shot | 52.6 | 50.3 | **56.8** | 51.3 |
| | TriviaQA (EM) | 5-shot | 80.0 | 71.9 | **82.7** | **82.9** |
| | NaturalQuestions (EM) | 5-shot | 38.6 | 33.2 | **41.5** | 40.0 |
| | AGIEval (Acc.) | 0-shot | 57.5 | 75.8 | 60.6 | **79.6** |
| Code | HumanEval (Pass@1) | 0-shot | 43.3 | 53.0 | 54.9 | **65.2** |
| | MBPP (Pass@1) | 3-shot | 65.0 | 72.6 | 68.4 | **75.4** |
| | LiveCodeBench-Base (Pass@1) | 3-shot | 11.6 | 12.9 | 15.5 | **19.4** |
| | CRUXEval-I (Acc.) | 2-shot | 52.5 | 59.1 | 58.5 | **67.3** |
| | CRUXEval-O (Acc.) | 2-shot | 49.8 | 59.9 | 59.9 | **69.8** |
| Math | GSM8K (EM) | 8-shot | 81.6 | 88.3 | 83.5 | **89.3** |
| | MATH (EM) | 4-shot | 43.4 | 54.4 | 49.0 | **61.6** |
| | MGSM (EM) | 8-shot | 63.6 | 76.2 | 69.9 | **79.8** |
| | CMath (EM) | 3-shot | 78.7 | 84.5 | 77.3 | **90.7** |
| Chinese | CLUEWSC (EM) | 5-shot | 82.0 | 82.5 | **83.0** | 82.7 |
| | C-Eval (Acc.) | 5-shot | 81.4 | 89.2 | 72.5 | **90.1** |
| | CMMLU (Acc.) | 5-shot | 84.0 | **89.5** | 73.7 | 88.8 |
| | CMRC (EM) | 1-shot | **77.4** | 75.8 | 76.0 | 76.3 |
| | C3 (Acc.) | 0-shot | 77.4 | 76.7 | **79.7** | 78.6 |
| | CCPM (Acc.) | 0-shot | **93.0** | 88.5 | 78.6 | 92.0 |
| Multilingual | MMMLU-non-English (Acc.) | 5-shot | 64.0 | 74.8 | 73.8 | **79.4** |
</div>
> [!NOTE]
> Best results are shown in bold. Scores with a gap not exceeding 0.3 are considered to be at the same level. DeepSeek-V3 achieves the best performance on most benchmarks, especially on math and code tasks.
> For more evaluation details, please check our paper.
#### Context Window
<p align="center">
<img width="80%" src="figures/niah.png">
</p>
Evaluation results on the ``Needle In A Haystack`` (NIAH) tests. DeepSeek-V3 performs well across all context window lengths up to **128K**.
### Chat Model
#### Standard Benchmarks (Models larger than 67B)
<div align="center">
| | **Benchmark (Metric)** | **DeepSeek V2-0506** | **DeepSeek V2.5-0905** | **Qwen2.5 72B-Inst.** | **Llama3.1 405B-Inst.** | **Claude-3.5-Sonnet-1022** | **GPT-4o 0513** | **DeepSeek V3** |
|---|---------------------|---------------------|----------------------|---------------------|----------------------|---------------------------|----------------|----------------|
| | Architecture | MoE | MoE | Dense | Dense | - | - | MoE |
| | # Activated Params | 21B | 21B | 72B | 405B | - | - | 37B |
| | # Total Params | 236B | 236B | 72B | 405B | - | - | 671B |
| English | MMLU (EM) | 78.2 | 80.6 | 85.3 | **88.6** | **88.3** | 87.2 | **88.5** |
| | MMLU-Redux (EM) | 77.9 | 80.3 | 85.6 | 86.2 | **88.9** | 88.0 | **89.1** |
| | MMLU-Pro (EM) | 58.5 | 66.2 | 71.6 | 73.3 | **78.0** | 72.6 | 75.9 |
| | DROP (3-shot F1) | 83.0 | 87.8 | 76.7 | 88.7 | 88.3 | 83.7 | **91.6** |
| | IF-Eval (Prompt Strict) | 57.7 | 80.6 | 84.1 | 86.0 | **86.5** | 84.3 | 86.1 |
| | GPQA-Diamond (Pass@1) | 35.3 | 41.3 | 49.0 | 51.1 | **65.0** | 49.9 | 59.1 |
| | SimpleQA (Correct) | 9.0 | 10.2 | 9.1 | 17.1 | 28.4 | **38.2** | 24.9 |
| | FRAMES (Acc.) | 66.9 | 65.4 | 69.8 | 70.0 | 72.5 | **80.5** | 73.3 |
| | LongBench v2 (Acc.) | 31.6 | 35.4 | 39.4 | 36.1 | 41.0 | 48.1 | **48.7** |
| Code | HumanEval-Mul (Pass@1) | 69.3 | 77.4 | 77.3 | 77.2 | 81.7 | 80.5 | **82.6** |
| | LiveCodeBench (Pass@1-COT) | 18.8 | 29.2 | 31.1 | 28.4 | 36.3 | 33.4 | **40.5** |
| | LiveCodeBench (Pass@1) | 20.3 | 28.4 | 28.7 | 30.1 | 32.8 | 34.2 | **37.6** |
| | Codeforces (Percentile) | 17.5 | 35.6 | 24.8 | 25.3 | 20.3 | 23.6 | **51.6** |
| | SWE Verified (Resolved) | - | 22.6 | 23.8 | 24.5 | **50.8** | 38.8 | 42.0 |
| | Aider-Edit (Acc.) | 60.3 | 71.6 | 65.4 | 63.9 | **84.2** | 72.9 | 79.7 |
| | Aider-Polyglot (Acc.) | - | 18.2 | 7.6 | 5.8 | 45.3 | 16.0 | **49.6** |
| Math | AIME 2024 (Pass@1) | 4.6 | 16.7 | 23.3 | 23.3 | 16.0 | 9.3 | **39.2** |
| | MATH-500 (EM) | 56.3 | 74.7 | 80.0 | 73.8 | 78.3 | 74.6 | **90.2** |
| | CNMO 2024 (Pass@1) | 2.8 | 10.8 | 15.9 | 6.8 | 13.1 | 10.8 | **43.2** |
| Chinese | CLUEWSC (EM) | 89.9 | 90.4 | **91.4** | 84.7 | 85.4 | 87.9 | 90.9 |
| | C-Eval (EM) | 78.6 | 79.5 | 86.1 | 61.5 | 76.7 | 76.0 | **86.5** |
| | C-SimpleQA (Correct) | 48.5 | 54.1 | 48.4 | 50.4 | 51.3 | 59.3 | **64.8** |
</div>
> [!NOTE]
> All models are evaluated in a configuration that limits the output length to 8K. Benchmarks containing fewer than 1000 samples are tested multiple times using varying temperature settings to derive robust final results. DeepSeek-V3 stands as the best-performing open-source model, and also exhibits competitive performance against frontier closed-source models.
#### Open Ended Generation Evaluation
<div align="center">
| Model | Arena-Hard | AlpacaEval 2.0 |
|-------|------------|----------------|
| DeepSeek-V2.5-0905 | 76.2 | 50.5 |
| Qwen2.5-72B-Instruct | 81.2 | 49.1 |
| LLaMA-3.1 405B | 69.3 | 40.5 |
| GPT-4o-0513 | 80.4 | 51.1 |
| Claude-Sonnet-3.5-1022 | 85.2 | 52.0 |
| DeepSeek-V3 | **85.5** | **70.0** |
</div>
> [!NOTE]
> English open-ended conversation evaluations. For AlpacaEval 2.0, we use the length-controlled win rate as the metric.
## 5. Chat Website & API Platform
You can chat with DeepSeek-V3 on DeepSeek's official website: [chat.deepseek.com](https://chat.deepseek.com/sign_in)
We also provide OpenAI-Compatible API at DeepSeek Platform: [platform.deepseek.com](https://platform.deepseek.com/)
## 6. How to Run Locally
DeepSeek-V3 can be deployed locally using the following hardware and open-source community software:
1. **DeepSeek-Infer Demo**: We provide a simple and lightweight demo for FP8 and BF16 inference.
2. **SGLang**: Fully support the DeepSeek-V3 model in both BF16 and FP8 inference modes, with Multi-Token Prediction [coming soon](https://github.com/sgl-project/sglang/issues/2591).
3. **LMDeploy**: Enables efficient FP8 and BF16 inference for local and cloud deployment.
4. **TensorRT-LLM**: Currently supports BF16 inference and INT4/8 quantization, with FP8 support coming soon.
5. **vLLM**: Support DeepSeek-V3 model with FP8 and BF16 modes for tensor parallelism and pipeline parallelism.
6. **AMD GPU**: Enables running the DeepSeek-V3 model on AMD GPUs via SGLang in both BF16 and FP8 modes.
7. **Huawei Ascend NPU**: Supports running DeepSeek-V3 on Huawei Ascend devices.
Since FP8 training is natively adopted in our framework, we only provide FP8 weights. If you require BF16 weights for experimentation, you can use the provided conversion script to perform the transformation.
Here is an example of converting FP8 weights to BF16:
```shell
cd inference
python fp8_cast_bf16.py --input-fp8-hf-path /path/to/fp8_weights --output-bf16-hf-path /path/to/bf16_weights
```
> [!NOTE]
> Hugging Face's Transformers has not been directly supported yet.**
### 6.1 Inference with DeepSeek-Infer Demo (example only)
#### System Requirements
> [!NOTE]
> Linux with Python 3.10 only. Mac and Windows are not supported.
Dependencies:
```
torch==2.4.1
triton==3.0.0
transformers==4.46.3
safetensors==0.4.5
```
#### Model Weights & Demo Code Preparation
First, clone our DeepSeek-V3 GitHub repository:
```shell
git clone https://github.com/deepseek-ai/DeepSeek-V3.git
```
Navigate to the `inference` folder and install dependencies listed in `requirements.txt`. Easiest way is to use a package manager like `conda` or `uv` to create a new virtual environment and install the dependencies.
```shell
cd DeepSeek-V3/inference
pip install -r requirements.txt
```
Download the model weights from Hugging Face, and put them into `/path/to/DeepSeek-V3` folder.
#### Model Weights Conversion
Convert Hugging Face model weights to a specific format:
```shell
python convert.py --hf-ckpt-path /path/to/DeepSeek-V3 --save-path /path/to/DeepSeek-V3-Demo --n-experts 256 --model-parallel 16
```
#### Run
Then you can chat with DeepSeek-V3:
```shell
torchrun --nnodes 2 --nproc-per-node 8 --node-rank $RANK --master-addr $ADDR generate.py --ckpt-path /path/to/DeepSeek-V3-Demo --config configs/config_671B.json --interactive --temperature 0.7 --max-new-tokens 200
```
Or batch inference on a given file:
```shell
torchrun --nnodes 2 --nproc-per-node 8 --node-rank $RANK --master-addr $ADDR generate.py --ckpt-path /path/to/DeepSeek-V3-Demo --config configs/config_671B.json --input-file $FILE
```
### 6.2 Inference with SGLang (recommended)
[SGLang](https://github.com/sgl-project/sglang) currently supports [MLA optimizations](https://lmsys.org/blog/2024-09-04-sglang-v0-3/#deepseek-multi-head-latent-attention-mla-throughput-optimizations), [DP Attention](https://lmsys.org/blog/2024-12-04-sglang-v0-4/#data-parallelism-attention-for-deepseek-models), FP8 (W8A8), FP8 KV Cache, and Torch Compile, delivering state-of-the-art latency and throughput performance among open-source frameworks.
Notably, [SGLang v0.4.1](https://github.com/sgl-project/sglang/releases/tag/v0.4.1) fully supports running DeepSeek-V3 on both **NVIDIA and AMD GPUs**, making it a highly versatile and robust solution.
SGLang also supports [multi-node tensor parallelism](https://github.com/sgl-project/sglang/tree/main/benchmark/deepseek_v3#example-serving-with-2-h208), enabling you to run this model on multiple network-connected machines.
Multi-Token Prediction (MTP) is in development, and progress can be tracked in the [optimization plan](https://github.com/sgl-project/sglang/issues/2591).
Here are the launch instructions from the SGLang team: https://github.com/sgl-project/sglang/tree/main/benchmark/deepseek_v3
### 6.3 Inference with LMDeploy (recommended)
[LMDeploy](https://github.com/InternLM/lmdeploy), a flexible and high-performance inference and serving framework tailored for large language models, now supports DeepSeek-V3. It offers both offline pipeline processing and online deployment capabilities, seamlessly integrating with PyTorch-based workflows.
For comprehensive step-by-step instructions on running DeepSeek-V3 with LMDeploy, please refer to here: https://github.com/InternLM/lmdeploy/issues/2960
### 6.4 Inference with TRT-LLM (recommended)
[TensorRT-LLM](https://github.com/NVIDIA/TensorRT-LLM) now supports the DeepSeek-V3 model, offering precision options such as BF16 and INT4/INT8 weight-only. Support for FP8 is currently in progress and will be released soon. You can access the custom branch of TRTLLM specifically for DeepSeek-V3 support through the following link to experience the new features directly: https://github.com/NVIDIA/TensorRT-LLM/tree/deepseek/examples/deepseek_v3.
### 6.5 Inference with vLLM (recommended)
[vLLM](https://github.com/vllm-project/vllm) v0.6.6 supports DeepSeek-V3 inference for FP8 and BF16 modes on both NVIDIA and AMD GPUs. Aside from standard techniques, vLLM offers _pipeline parallelism_ allowing you to run this model on multiple machines connected by networks. For detailed guidance, please refer to the [vLLM instructions](https://docs.vllm.ai/en/latest/serving/distributed_serving.html). Please feel free to follow [the enhancement plan](https://github.com/vllm-project/vllm/issues/11539) as well.
### 6.6 Recommended Inference Functionality with AMD GPUs
In collaboration with the AMD team, we have achieved Day-One support for AMD GPUs using SGLang, with full compatibility for both FP8 and BF16 precision. For detailed guidance, please refer to the [SGLang instructions](#63-inference-with-lmdeploy-recommended).
### 6.7 Recommended Inference Functionality with Huawei Ascend NPUs
The [MindIE](https://www.hiascend.com/en/software/mindie) framework from the Huawei Ascend community has successfully adapted the BF16 version of DeepSeek-V3. For step-by-step guidance on Ascend NPUs, please follow the [instructions here](https://modelers.cn/models/MindIE/deepseekv3).
## 7. License
This code repository is licensed under [the MIT License](LICENSE-CODE). The use of DeepSeek-V3 Base/Chat models is subject to [the Model License](LICENSE-MODEL). DeepSeek-V3 series (including Base and Chat) supports commercial use.
## 8. Citation
```
@misc{deepseekai2024deepseekv3technicalreport,
title={DeepSeek-V3 Technical Report},
author={DeepSeek-AI and Aixin Liu and Bei Feng and Bing Xue and Bingxuan Wang and Bochao Wu and Chengda Lu and Chenggang Zhao and Chengqi Deng and Chenyu Zhang and Chong Ruan and Damai Dai and Daya Guo and Dejian Yang and Deli Chen and Dongjie Ji and Erhang Li and Fangyun Lin and Fucong Dai and Fuli Luo and Guangbo Hao and Guanting Chen and Guowei Li and H. Zhang and Han Bao and Hanwei Xu and Haocheng Wang and Haowei Zhang and Honghui Ding and Huajian Xin and Huazuo Gao and Hui Li and Hui Qu and J. L. Cai and Jian Liang and Jianzhong Guo and Jiaqi Ni and Jiashi Li and Jiawei Wang and Jin Chen and Jingchang Chen and Jingyang Yuan and Junjie Qiu and Junlong Li and Junxiao Song and Kai Dong and Kai Hu and Kaige Gao and Kang Guan and Kexin Huang and Kuai Yu and Lean Wang and Lecong Zhang and Lei Xu and Leyi Xia and Liang Zhao and Litong Wang and Liyue Zhang and Meng Li and Miaojun Wang and Mingchuan Zhang and Minghua Zhang and Minghui Tang and Mingming Li and Ning Tian and Panpan Huang and Peiyi Wang and Peng Zhang and Qiancheng Wang and Qihao Zhu and Qinyu Chen and Qiushi Du and R. J. Chen and R. L. Jin and Ruiqi Ge and Ruisong Zhang and Ruizhe Pan and Runji Wang and Runxin Xu and Ruoyu Zhang and Ruyi Chen and S. S. Li and Shanghao Lu and Shangyan Zhou and Shanhuang Chen and Shaoqing Wu and Shengfeng Ye and Shengfeng Ye and Shirong Ma and Shiyu Wang and Shuang Zhou and Shuiping Yu and Shunfeng Zhou and Shuting Pan and T. Wang and Tao Yun and Tian Pei and Tianyu Sun and W. L. Xiao and Wangding Zeng and Wanjia Zhao and Wei An and Wen Liu and Wenfeng Liang and Wenjun Gao and Wenqin Yu and Wentao Zhang and X. Q. Li and Xiangyue Jin and Xianzu Wang and Xiao Bi and Xiaodong Liu and Xiaohan Wang and Xiaojin Shen and Xiaokang Chen and Xiaokang Zhang and Xiaosha Chen and Xiaotao Nie and Xiaowen Sun and Xiaoxiang Wang and Xin Cheng and Xin Liu and Xin Xie and Xingchao Liu and Xingkai Yu and Xinnan Song and Xinxia Shan and Xinyi Zhou and Xinyu Yang and Xinyuan Li and Xuecheng Su and Xuheng Lin and Y. K. Li and Y. Q. Wang and Y. X. Wei and Y. X. Zhu and Yang Zhang and Yanhong Xu and Yanhong Xu and Yanping Huang and Yao Li and Yao Zhao and Yaofeng Sun and Yaohui Li and Yaohui Wang and Yi Yu and Yi Zheng and Yichao Zhang and Yifan Shi and Yiliang Xiong and Ying He and Ying Tang and Yishi Piao and Yisong Wang and Yixuan Tan and Yiyang Ma and Yiyuan Liu and Yongqiang Guo and Yu Wu and Yuan Ou and Yuchen Zhu and Yuduan Wang and Yue Gong and Yuheng Zou and Yujia He and Yukun Zha and Yunfan Xiong and Yunxian Ma and Yuting Yan and Yuxiang Luo and Yuxiang You and Yuxuan Liu and Yuyang Zhou and Z. F. Wu and Z. Z. Ren and Zehui Ren and Zhangli Sha and Zhe Fu and Zhean Xu and Zhen Huang and Zhen Zhang and Zhenda Xie and Zhengyan Zhang and Zhewen Hao and Zhibin Gou and Zhicheng Ma and Zhigang Yan and Zhihong Shao and Zhipeng Xu and Zhiyu Wu and Zhongyu Zhang and Zhuoshu Li and Zihui Gu and Zijia Zhu and Zijun Liu and Zilin Li and Ziwei Xie and Ziyang Song and Ziyi Gao and Zizheng Pan},
year={2024},
eprint={2412.19437},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2412.19437},
}
```
## 9. Contact
If you have any questions, please raise an issue or contact us at [service@deepseek.com](service@deepseek.com).

94
README_WEIGHTS.md
View File

@ -1,94 +0,0 @@
# DeepSeek-V3 Weight File Documentation
## New Fields in `config.json`
- **model_type**: Specifies the model type, which is updated to `deepseek_v3` in this release.
- **num_nextn_predict_layers**: Indicates the number of Multi-Token Prediction (MTP) Modules. The open-sourced V3 weights include **1 MTP Module** .
- **quantization_config**: Describes the configuration for FP8 quantization.
---
## Weight Structure Overview
The DeepSeek-V3 weight file consists of two main components: **Main Model Weights** and **MTP Modules**.
### 1. Main Model Weights
- **Composition**:
- Input/output embedding layers and a complete set of 61 Transformer hidden layers.
- **Parameter Count**:
- Total parameters: **671B**
- Activation parameters: **36.7B** (including 0.9B for Embedding and 0.9B for the output Head).
#### Structural Details
- **Embedding Layer**:
- `model.embed_tokens.weight`
- **Transformer Hidden Layers**:
- `model.layers.0` to `model.layers.60`, totaling `num_hidden_layers` layers.
- **Output Layer**:
- `model.norm.weight`
- `lm_head.weight`
### 2. Multi-Token Prediction (MTP) Modules
- **Composition**:
- Additional MTP Modules defined by the `num_nextn_predict_layers` field. In this model, the value is set to 1.
- **Parameter Count**:
- Parameters: **11.5B unique parameters**, excluding the shared 0.9B Embedding and 0.9B output Head).
- Activation parameters: **2.4B** (including the shared 0.9B Embedding and 0.9B output Head).
#### Structural Details
- **embed_tokens**: **Shares parameters** with the Embedding layer of the Main Model weights.
- **enorm & hnorm**: RMSNorm parameters required for speculative decoding.
- **eh_proj**: Parameters for dimensionality reduction projection on the norm results.
- **Additional Transformer Hidden Layer**:
- `model.layers.61.self_attn & mlp` (structure identical to the Main Model hidden layers).
- **shared_head**: **Shares parameters** with the output Head of the Main Model weights.
---
### Loading Rules
- **Main Model Weights**: Loaded via the `num_hidden_layers` parameter in `config.json`.
- **MTP Modules**: Loaded via the `num_nextn_predict_layers` parameter, with layer IDs appended immediately after the Main Model hidden layers. For example:
- If `num_hidden_layers = 61` and `num_nextn_predict_layers = 1`, the MTP Module's layer ID is `61`.
---
## FP8 Weight Documentation
DeepSeek-V3 natively supports FP8 weight format with 128x128 block scaling.
### FP8 Configuration
The FP8 weight file introduces a `quantization_config` field to describe the quantization method. Below is an example configuration:
```json
"quantization_config": {
"activation_scheme": "dynamic",
"fmt": "e4m3",
"quant_method": "fp8",
"weight_block_size": [128, 128]
}
```
- **Quantization Format**:
- Format type: `fp8` and `e4m3` (corresponding to `torch.float8_e4m3fn`).
- Weight block size: `128x128`.
- **Activation Quantization Scheme**:
- Utilizes dynamic activation quantization (`dynamic`).
### Dequantization Method
The FP8 weight file includes a `weight_scale_inv` field, which stores the dequantization scale for each weight block.
- **Storage Format**: `float32 Tensor`, stored alongside the weight data.
- **Dequantization Formula**:
- If the weight block is not aligned to 128, it is zero-padded to 128 before calculating the scale. After quantization, the padded portion is removed.
- The dequantization process is performed as: `(128x128 weight block) * weight_scale_inv`.
Through dequantization of the FP8 weights, runtime operations enable online quantization at a granularity of `per-token-per-128-channel`.
---

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@Switch01
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pip

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Copyright (c) 2008-present The pip developers (see AUTHORS.txt file)
Permission is hereby granted, free of charge, to any person obtaining
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"Software"), to deal in the Software without restriction, including
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WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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Metadata-Version: 2.2
Name: pip
Version: 25.0
Summary: The PyPA recommended tool for installing Python packages.
Author-email: The pip developers <distutils-sig@python.org>
License: MIT
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Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
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Classifier: Programming Language :: Python :: Implementation :: PyPy
Requires-Python: >=3.8
Description-Content-Type: text/x-rst
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pip - The Python Package Installer
==================================
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:target: https://pip.pypa.io/en/latest
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pip/_vendor/urllib3/util/response.py,sha256=GJpg3Egi9qaJXRwBh5wv-MNuRWan5BIu40oReoxWP28,3510
pip/_vendor/urllib3/util/retry.py,sha256=6ENvOZ8PBDzh8kgixpql9lIrb2dxH-k7ZmBanJF2Ng4,22050
pip/_vendor/urllib3/util/ssl_.py,sha256=QDuuTxPSCj1rYtZ4xpD7Ux-r20TD50aHyqKyhQ7Bq4A,17460
pip/_vendor/urllib3/util/ssl_match_hostname.py,sha256=Ir4cZVEjmAk8gUAIHWSi7wtOO83UCYABY2xFD1Ql_WA,5758
pip/_vendor/urllib3/util/ssltransport.py,sha256=NA-u5rMTrDFDFC8QzRKUEKMG0561hOD4qBTr3Z4pv6E,6895
pip/_vendor/urllib3/util/timeout.py,sha256=cwq4dMk87mJHSBktK1miYJ-85G-3T3RmT20v7SFCpno,10168
pip/_vendor/urllib3/util/url.py,sha256=lCAE7M5myA8EDdW0sJuyyZhVB9K_j38ljWhHAnFaWoE,14296
pip/_vendor/urllib3/util/wait.py,sha256=fOX0_faozG2P7iVojQoE1mbydweNyTcm-hXEfFrTtLI,5403
pip/_vendor/vendor.txt,sha256=EW-E3cE5XEAtVFzGInikArOMDxGP0DLUWzXpY4RZfFY,333
pip/py.typed,sha256=EBVvvPRTn_eIpz5e5QztSCdrMX7Qwd7VP93RSoIlZ2I,286

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Wheel-Version: 1.0
Generator: setuptools (75.8.0)
Root-Is-Purelib: true
Tag: py3-none-any

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[console_scripts]
pip = pip._internal.cli.main:main
pip3 = pip._internal.cli.main:main

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pip

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from typing import List, Optional
__version__ = "25.0"
def main(args: Optional[List[str]] = None) -> int:
"""This is an internal API only meant for use by pip's own console scripts.
For additional details, see https://github.com/pypa/pip/issues/7498.
"""
from pip._internal.utils.entrypoints import _wrapper
return _wrapper(args)

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import os
import sys
# Remove '' and current working directory from the first entry
# of sys.path, if present to avoid using current directory
# in pip commands check, freeze, install, list and show,
# when invoked as python -m pip <command>
if sys.path[0] in ("", os.getcwd()):
sys.path.pop(0)
# If we are running from a wheel, add the wheel to sys.path
# This allows the usage python pip-*.whl/pip install pip-*.whl
if __package__ == "":
# __file__ is pip-*.whl/pip/__main__.py
# first dirname call strips of '/__main__.py', second strips off '/pip'
# Resulting path is the name of the wheel itself
# Add that to sys.path so we can import pip
path = os.path.dirname(os.path.dirname(__file__))
sys.path.insert(0, path)
if __name__ == "__main__":
from pip._internal.cli.main import main as _main
sys.exit(_main())

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"""Execute exactly this copy of pip, within a different environment.
This file is named as it is, to ensure that this module can't be imported via
an import statement.
"""
# /!\ This version compatibility check section must be Python 2 compatible. /!\
import sys
# Copied from pyproject.toml
PYTHON_REQUIRES = (3, 8)
def version_str(version): # type: ignore
return ".".join(str(v) for v in version)
if sys.version_info[:2] < PYTHON_REQUIRES:
raise SystemExit(
"This version of pip does not support python {} (requires >={}).".format(
version_str(sys.version_info[:2]), version_str(PYTHON_REQUIRES)
)
)
# From here on, we can use Python 3 features, but the syntax must remain
# Python 2 compatible.
import runpy # noqa: E402
from importlib.machinery import PathFinder # noqa: E402
from os.path import dirname # noqa: E402
PIP_SOURCES_ROOT = dirname(dirname(__file__))
class PipImportRedirectingFinder:
@classmethod
def find_spec(self, fullname, path=None, target=None): # type: ignore
if fullname != "pip":
return None
spec = PathFinder.find_spec(fullname, [PIP_SOURCES_ROOT], target)
assert spec, (PIP_SOURCES_ROOT, fullname)
return spec
sys.meta_path.insert(0, PipImportRedirectingFinder())
assert __name__ == "__main__", "Cannot run __pip-runner__.py as a non-main module"
runpy.run_module("pip", run_name="__main__", alter_sys=True)

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from typing import List, Optional
from pip._internal.utils import _log
# init_logging() must be called before any call to logging.getLogger()
# which happens at import of most modules.
_log.init_logging()
def main(args: Optional[List[str]] = None) -> int:
"""This is preserved for old console scripts that may still be referencing
it.
For additional details, see https://github.com/pypa/pip/issues/7498.
"""
from pip._internal.utils.entrypoints import _wrapper
return _wrapper(args)

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"""Build Environment used for isolation during sdist building
"""
import logging
import os
import pathlib
import site
import sys
import textwrap
from collections import OrderedDict
from types import TracebackType
from typing import TYPE_CHECKING, Iterable, List, Optional, Set, Tuple, Type, Union
from pip._vendor.certifi import where
from pip._vendor.packaging.version import Version
from pip import __file__ as pip_location
from pip._internal.cli.spinners import open_spinner
from pip._internal.locations import get_platlib, get_purelib, get_scheme
from pip._internal.metadata import get_default_environment, get_environment
from pip._internal.utils.logging import VERBOSE
from pip._internal.utils.packaging import get_requirement
from pip._internal.utils.subprocess import call_subprocess
from pip._internal.utils.temp_dir import TempDirectory, tempdir_kinds
if TYPE_CHECKING:
from pip._internal.index.package_finder import PackageFinder
logger = logging.getLogger(__name__)
def _dedup(a: str, b: str) -> Union[Tuple[str], Tuple[str, str]]:
return (a, b) if a != b else (a,)
class _Prefix:
def __init__(self, path: str) -> None:
self.path = path
self.setup = False
scheme = get_scheme("", prefix=path)
self.bin_dir = scheme.scripts
self.lib_dirs = _dedup(scheme.purelib, scheme.platlib)
def get_runnable_pip() -> str:
"""Get a file to pass to a Python executable, to run the currently-running pip.
This is used to run a pip subprocess, for installing requirements into the build
environment.
"""
source = pathlib.Path(pip_location).resolve().parent
if not source.is_dir():
# This would happen if someone is using pip from inside a zip file. In that
# case, we can use that directly.
return str(source)
return os.fsdecode(source / "__pip-runner__.py")
def _get_system_sitepackages() -> Set[str]:
"""Get system site packages
Usually from site.getsitepackages,
but fallback on `get_purelib()/get_platlib()` if unavailable
(e.g. in a virtualenv created by virtualenv<20)
Returns normalized set of strings.
"""
if hasattr(site, "getsitepackages"):
system_sites = site.getsitepackages()
else:
# virtualenv < 20 overwrites site.py without getsitepackages
# fallback on get_purelib/get_platlib.
# this is known to miss things, but shouldn't in the cases
# where getsitepackages() has been removed (inside a virtualenv)
system_sites = [get_purelib(), get_platlib()]
return {os.path.normcase(path) for path in system_sites}
class BuildEnvironment:
"""Creates and manages an isolated environment to install build deps"""
def __init__(self) -> None:
temp_dir = TempDirectory(kind=tempdir_kinds.BUILD_ENV, globally_managed=True)
self._prefixes = OrderedDict(
(name, _Prefix(os.path.join(temp_dir.path, name)))
for name in ("normal", "overlay")
)
self._bin_dirs: List[str] = []
self._lib_dirs: List[str] = []
for prefix in reversed(list(self._prefixes.values())):
self._bin_dirs.append(prefix.bin_dir)
self._lib_dirs.extend(prefix.lib_dirs)
# Customize site to:
# - ensure .pth files are honored
# - prevent access to system site packages
system_sites = _get_system_sitepackages()
self._site_dir = os.path.join(temp_dir.path, "site")
if not os.path.exists(self._site_dir):
os.mkdir(self._site_dir)
with open(
os.path.join(self._site_dir, "sitecustomize.py"), "w", encoding="utf-8"
) as fp:
fp.write(
textwrap.dedent(
"""
import os, site, sys
# First, drop system-sites related paths.
original_sys_path = sys.path[:]
known_paths = set()
for path in {system_sites!r}:
site.addsitedir(path, known_paths=known_paths)
system_paths = set(
os.path.normcase(path)
for path in sys.path[len(original_sys_path):]
)
original_sys_path = [
path for path in original_sys_path
if os.path.normcase(path) not in system_paths
]
sys.path = original_sys_path
# Second, add lib directories.
# ensuring .pth file are processed.
for path in {lib_dirs!r}:
assert not path in sys.path
site.addsitedir(path)
"""
).format(system_sites=system_sites, lib_dirs=self._lib_dirs)
)
def __enter__(self) -> None:
self._save_env = {
name: os.environ.get(name, None)
for name in ("PATH", "PYTHONNOUSERSITE", "PYTHONPATH")
}
path = self._bin_dirs[:]
old_path = self._save_env["PATH"]
if old_path:
path.extend(old_path.split(os.pathsep))
pythonpath = [self._site_dir]
os.environ.update(
{
"PATH": os.pathsep.join(path),
"PYTHONNOUSERSITE": "1",
"PYTHONPATH": os.pathsep.join(pythonpath),
}
)
def __exit__(
self,
exc_type: Optional[Type[BaseException]],
exc_val: Optional[BaseException],
exc_tb: Optional[TracebackType],
) -> None:
for varname, old_value in self._save_env.items():
if old_value is None:
os.environ.pop(varname, None)
else:
os.environ[varname] = old_value
def check_requirements(
self, reqs: Iterable[str]
) -> Tuple[Set[Tuple[str, str]], Set[str]]:
"""Return 2 sets:
- conflicting requirements: set of (installed, wanted) reqs tuples
- missing requirements: set of reqs
"""
missing = set()
conflicting = set()
if reqs:
env = (
get_environment(self._lib_dirs)
if hasattr(self, "_lib_dirs")
else get_default_environment()
)
for req_str in reqs:
req = get_requirement(req_str)
# We're explicitly evaluating with an empty extra value, since build
# environments are not provided any mechanism to select specific extras.
if req.marker is not None and not req.marker.evaluate({"extra": ""}):
continue
dist = env.get_distribution(req.name)
if not dist:
missing.add(req_str)
continue
if isinstance(dist.version, Version):
installed_req_str = f"{req.name}=={dist.version}"
else:
installed_req_str = f"{req.name}==={dist.version}"
if not req.specifier.contains(dist.version, prereleases=True):
conflicting.add((installed_req_str, req_str))
# FIXME: Consider direct URL?
return conflicting, missing
def install_requirements(
self,
finder: "PackageFinder",
requirements: Iterable[str],
prefix_as_string: str,
*,
kind: str,
) -> None:
prefix = self._prefixes[prefix_as_string]
assert not prefix.setup
prefix.setup = True
if not requirements:
return
self._install_requirements(
get_runnable_pip(),
finder,
requirements,
prefix,
kind=kind,
)
@staticmethod
def _install_requirements(
pip_runnable: str,
finder: "PackageFinder",
requirements: Iterable[str],
prefix: _Prefix,
*,
kind: str,
) -> None:
args: List[str] = [
sys.executable,
pip_runnable,
"install",
"--ignore-installed",
"--no-user",
"--prefix",
prefix.path,
"--no-warn-script-location",
"--disable-pip-version-check",
# The prefix specified two lines above, thus
# target from config file or env var should be ignored
"--target",
"",
"--cert",
finder.custom_cert or where(),
]
if logger.getEffectiveLevel() <= logging.DEBUG:
args.append("-vv")
elif logger.getEffectiveLevel() <= VERBOSE:
args.append("-v")
for format_control in ("no_binary", "only_binary"):
formats = getattr(finder.format_control, format_control)
args.extend(
(
"--" + format_control.replace("_", "-"),
",".join(sorted(formats or {":none:"})),
)
)
index_urls = finder.index_urls
if index_urls:
args.extend(["-i", index_urls[0]])
for extra_index in index_urls[1:]:
args.extend(["--extra-index-url", extra_index])
else:
args.append("--no-index")
for link in finder.find_links:
args.extend(["--find-links", link])
if finder.proxy:
args.extend(["--proxy", finder.proxy])
for host in finder.trusted_hosts:
args.extend(["--trusted-host", host])
if finder.client_cert:
args.extend(["--client-cert", finder.client_cert])
if finder.allow_all_prereleases:
args.append("--pre")
if finder.prefer_binary:
args.append("--prefer-binary")
args.append("--")
args.extend(requirements)
with open_spinner(f"Installing {kind}") as spinner:
call_subprocess(
args,
command_desc=f"pip subprocess to install {kind}",
spinner=spinner,
)
class NoOpBuildEnvironment(BuildEnvironment):
"""A no-op drop-in replacement for BuildEnvironment"""
def __init__(self) -> None:
pass
def __enter__(self) -> None:
pass
def __exit__(
self,
exc_type: Optional[Type[BaseException]],
exc_val: Optional[BaseException],
exc_tb: Optional[TracebackType],
) -> None:
pass
def cleanup(self) -> None:
pass
def install_requirements(
self,
finder: "PackageFinder",
requirements: Iterable[str],
prefix_as_string: str,
*,
kind: str,
) -> None:
raise NotImplementedError()

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"""Cache Management
"""
import hashlib
import json
import logging
import os
from pathlib import Path
from typing import Any, Dict, List, Optional
from pip._vendor.packaging.tags import Tag, interpreter_name, interpreter_version
from pip._vendor.packaging.utils import canonicalize_name
from pip._internal.exceptions import InvalidWheelFilename
from pip._internal.models.direct_url import DirectUrl
from pip._internal.models.link import Link
from pip._internal.models.wheel import Wheel
from pip._internal.utils.temp_dir import TempDirectory, tempdir_kinds
from pip._internal.utils.urls import path_to_url
logger = logging.getLogger(__name__)
ORIGIN_JSON_NAME = "origin.json"
def _hash_dict(d: Dict[str, str]) -> str:
"""Return a stable sha224 of a dictionary."""
s = json.dumps(d, sort_keys=True, separators=(",", ":"), ensure_ascii=True)
return hashlib.sha224(s.encode("ascii")).hexdigest()
class Cache:
"""An abstract class - provides cache directories for data from links
:param cache_dir: The root of the cache.
"""
def __init__(self, cache_dir: str) -> None:
super().__init__()
assert not cache_dir or os.path.isabs(cache_dir)
self.cache_dir = cache_dir or None
def _get_cache_path_parts(self, link: Link) -> List[str]:
"""Get parts of part that must be os.path.joined with cache_dir"""
# We want to generate an url to use as our cache key, we don't want to
# just reuse the URL because it might have other items in the fragment
# and we don't care about those.
key_parts = {"url": link.url_without_fragment}
if link.hash_name is not None and link.hash is not None:
key_parts[link.hash_name] = link.hash
if link.subdirectory_fragment:
key_parts["subdirectory"] = link.subdirectory_fragment
# Include interpreter name, major and minor version in cache key
# to cope with ill-behaved sdists that build a different wheel
# depending on the python version their setup.py is being run on,
# and don't encode the difference in compatibility tags.
# https://github.com/pypa/pip/issues/7296
key_parts["interpreter_name"] = interpreter_name()
key_parts["interpreter_version"] = interpreter_version()
# Encode our key url with sha224, we'll use this because it has similar
# security properties to sha256, but with a shorter total output (and
# thus less secure). However the differences don't make a lot of
# difference for our use case here.
hashed = _hash_dict(key_parts)
# We want to nest the directories some to prevent having a ton of top
# level directories where we might run out of sub directories on some
# FS.
parts = [hashed[:2], hashed[2:4], hashed[4:6], hashed[6:]]
return parts
def _get_candidates(self, link: Link, canonical_package_name: str) -> List[Any]:
can_not_cache = not self.cache_dir or not canonical_package_name or not link
if can_not_cache:
return []
path = self.get_path_for_link(link)
if os.path.isdir(path):
return [(candidate, path) for candidate in os.listdir(path)]
return []
def get_path_for_link(self, link: Link) -> str:
"""Return a directory to store cached items in for link."""
raise NotImplementedError()
def get(
self,
link: Link,
package_name: Optional[str],
supported_tags: List[Tag],
) -> Link:
"""Returns a link to a cached item if it exists, otherwise returns the
passed link.
"""
raise NotImplementedError()
class SimpleWheelCache(Cache):
"""A cache of wheels for future installs."""
def __init__(self, cache_dir: str) -> None:
super().__init__(cache_dir)
def get_path_for_link(self, link: Link) -> str:
"""Return a directory to store cached wheels for link
Because there are M wheels for any one sdist, we provide a directory
to cache them in, and then consult that directory when looking up
cache hits.
We only insert things into the cache if they have plausible version
numbers, so that we don't contaminate the cache with things that were
not unique. E.g. ./package might have dozens of installs done for it
and build a version of 0.0...and if we built and cached a wheel, we'd
end up using the same wheel even if the source has been edited.
:param link: The link of the sdist for which this will cache wheels.
"""
parts = self._get_cache_path_parts(link)
assert self.cache_dir
# Store wheels within the root cache_dir
return os.path.join(self.cache_dir, "wheels", *parts)
def get(
self,
link: Link,
package_name: Optional[str],
supported_tags: List[Tag],
) -> Link:
candidates = []
if not package_name:
return link
canonical_package_name = canonicalize_name(package_name)
for wheel_name, wheel_dir in self._get_candidates(link, canonical_package_name):
try:
wheel = Wheel(wheel_name)
except InvalidWheelFilename:
continue
if canonicalize_name(wheel.name) != canonical_package_name:
logger.debug(
"Ignoring cached wheel %s for %s as it "
"does not match the expected distribution name %s.",
wheel_name,
link,
package_name,
)
continue
if not wheel.supported(supported_tags):
# Built for a different python/arch/etc
continue
candidates.append(
(
wheel.support_index_min(supported_tags),
wheel_name,
wheel_dir,
)
)
if not candidates:
return link
_, wheel_name, wheel_dir = min(candidates)
return Link(path_to_url(os.path.join(wheel_dir, wheel_name)))
class EphemWheelCache(SimpleWheelCache):
"""A SimpleWheelCache that creates it's own temporary cache directory"""
def __init__(self) -> None:
self._temp_dir = TempDirectory(
kind=tempdir_kinds.EPHEM_WHEEL_CACHE,
globally_managed=True,
)
super().__init__(self._temp_dir.path)
class CacheEntry:
def __init__(
self,
link: Link,
persistent: bool,
):
self.link = link
self.persistent = persistent
self.origin: Optional[DirectUrl] = None
origin_direct_url_path = Path(self.link.file_path).parent / ORIGIN_JSON_NAME
if origin_direct_url_path.exists():
try:
self.origin = DirectUrl.from_json(
origin_direct_url_path.read_text(encoding="utf-8")
)
except Exception as e:
logger.warning(
"Ignoring invalid cache entry origin file %s for %s (%s)",
origin_direct_url_path,
link.filename,
e,
)
class WheelCache(Cache):
"""Wraps EphemWheelCache and SimpleWheelCache into a single Cache
This Cache allows for gracefully degradation, using the ephem wheel cache
when a certain link is not found in the simple wheel cache first.
"""
def __init__(self, cache_dir: str) -> None:
super().__init__(cache_dir)
self._wheel_cache = SimpleWheelCache(cache_dir)
self._ephem_cache = EphemWheelCache()
def get_path_for_link(self, link: Link) -> str:
return self._wheel_cache.get_path_for_link(link)
def get_ephem_path_for_link(self, link: Link) -> str:
return self._ephem_cache.get_path_for_link(link)
def get(
self,
link: Link,
package_name: Optional[str],
supported_tags: List[Tag],
) -> Link:
cache_entry = self.get_cache_entry(link, package_name, supported_tags)
if cache_entry is None:
return link
return cache_entry.link
def get_cache_entry(
self,
link: Link,
package_name: Optional[str],
supported_tags: List[Tag],
) -> Optional[CacheEntry]:
"""Returns a CacheEntry with a link to a cached item if it exists or
None. The cache entry indicates if the item was found in the persistent
or ephemeral cache.
"""
retval = self._wheel_cache.get(
link=link,
package_name=package_name,
supported_tags=supported_tags,
)
if retval is not link:
return CacheEntry(retval, persistent=True)
retval = self._ephem_cache.get(
link=link,
package_name=package_name,
supported_tags=supported_tags,
)
if retval is not link:
return CacheEntry(retval, persistent=False)
return None
@staticmethod
def record_download_origin(cache_dir: str, download_info: DirectUrl) -> None:
origin_path = Path(cache_dir) / ORIGIN_JSON_NAME
if origin_path.exists():
try:
origin = DirectUrl.from_json(origin_path.read_text(encoding="utf-8"))
except Exception as e:
logger.warning(
"Could not read origin file %s in cache entry (%s). "
"Will attempt to overwrite it.",
origin_path,
e,
)
else:
# TODO: use DirectUrl.equivalent when
# https://github.com/pypa/pip/pull/10564 is merged.
if origin.url != download_info.url:
logger.warning(
"Origin URL %s in cache entry %s does not match download URL "
"%s. This is likely a pip bug or a cache corruption issue. "
"Will overwrite it with the new value.",
origin.url,
cache_dir,
download_info.url,
)
origin_path.write_text(download_info.to_json(), encoding="utf-8")

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"""Subpackage containing all of pip's command line interface related code
"""
# This file intentionally does not import submodules

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"""Logic that powers autocompletion installed by ``pip completion``.
"""
import optparse
import os
import sys
from itertools import chain
from typing import Any, Iterable, List, Optional
from pip._internal.cli.main_parser import create_main_parser
from pip._internal.commands import commands_dict, create_command
from pip._internal.metadata import get_default_environment
def autocomplete() -> None:
"""Entry Point for completion of main and subcommand options."""
# Don't complete if user hasn't sourced bash_completion file.
if "PIP_AUTO_COMPLETE" not in os.environ:
return
# Don't complete if autocompletion environment variables
# are not present
if not os.environ.get("COMP_WORDS") or not os.environ.get("COMP_CWORD"):
return
cwords = os.environ["COMP_WORDS"].split()[1:]
cword = int(os.environ["COMP_CWORD"])
try:
current = cwords[cword - 1]
except IndexError:
current = ""
parser = create_main_parser()
subcommands = list(commands_dict)
options = []
# subcommand
subcommand_name: Optional[str] = None
for word in cwords:
if word in subcommands:
subcommand_name = word
break
# subcommand options
if subcommand_name is not None:
# special case: 'help' subcommand has no options
if subcommand_name == "help":
sys.exit(1)
# special case: list locally installed dists for show and uninstall
should_list_installed = not current.startswith("-") and subcommand_name in [
"show",
"uninstall",
]
if should_list_installed:
env = get_default_environment()
lc = current.lower()
installed = [
dist.canonical_name
for dist in env.iter_installed_distributions(local_only=True)
if dist.canonical_name.startswith(lc)
and dist.canonical_name not in cwords[1:]
]
# if there are no dists installed, fall back to option completion
if installed:
for dist in installed:
print(dist)
sys.exit(1)
should_list_installables = (
not current.startswith("-") and subcommand_name == "install"
)
if should_list_installables:
for path in auto_complete_paths(current, "path"):
print(path)
sys.exit(1)
subcommand = create_command(subcommand_name)
for opt in subcommand.parser.option_list_all:
if opt.help != optparse.SUPPRESS_HELP:
options += [
(opt_str, opt.nargs) for opt_str in opt._long_opts + opt._short_opts
]
# filter out previously specified options from available options
prev_opts = [x.split("=")[0] for x in cwords[1 : cword - 1]]
options = [(x, v) for (x, v) in options if x not in prev_opts]
# filter options by current input
options = [(k, v) for k, v in options if k.startswith(current)]
# get completion type given cwords and available subcommand options
completion_type = get_path_completion_type(
cwords,
cword,
subcommand.parser.option_list_all,
)
# get completion files and directories if ``completion_type`` is
# ``<file>``, ``<dir>`` or ``<path>``
if completion_type:
paths = auto_complete_paths(current, completion_type)
options = [(path, 0) for path in paths]
for option in options:
opt_label = option[0]
# append '=' to options which require args
if option[1] and option[0][:2] == "--":
opt_label += "="
print(opt_label)
else:
# show main parser options only when necessary
opts = [i.option_list for i in parser.option_groups]
opts.append(parser.option_list)
flattened_opts = chain.from_iterable(opts)
if current.startswith("-"):
for opt in flattened_opts:
if opt.help != optparse.SUPPRESS_HELP:
subcommands += opt._long_opts + opt._short_opts
else:
# get completion type given cwords and all available options
completion_type = get_path_completion_type(cwords, cword, flattened_opts)
if completion_type:
subcommands = list(auto_complete_paths(current, completion_type))
print(" ".join([x for x in subcommands if x.startswith(current)]))
sys.exit(1)
def get_path_completion_type(
cwords: List[str], cword: int, opts: Iterable[Any]
) -> Optional[str]:
"""Get the type of path completion (``file``, ``dir``, ``path`` or None)
:param cwords: same as the environmental variable ``COMP_WORDS``
:param cword: same as the environmental variable ``COMP_CWORD``
:param opts: The available options to check
:return: path completion type (``file``, ``dir``, ``path`` or None)
"""
if cword < 2 or not cwords[cword - 2].startswith("-"):
return None
for opt in opts:
if opt.help == optparse.SUPPRESS_HELP:
continue
for o in str(opt).split("/"):
if cwords[cword - 2].split("=")[0] == o:
if not opt.metavar or any(
x in ("path", "file", "dir") for x in opt.metavar.split("/")
):
return opt.metavar
return None
def auto_complete_paths(current: str, completion_type: str) -> Iterable[str]:
"""If ``completion_type`` is ``file`` or ``path``, list all regular files
and directories starting with ``current``; otherwise only list directories
starting with ``current``.
:param current: The word to be completed
:param completion_type: path completion type(``file``, ``path`` or ``dir``)
:return: A generator of regular files and/or directories
"""
directory, filename = os.path.split(current)
current_path = os.path.abspath(directory)
# Don't complete paths if they can't be accessed
if not os.access(current_path, os.R_OK):
return
filename = os.path.normcase(filename)
# list all files that start with ``filename``
file_list = (
x for x in os.listdir(current_path) if os.path.normcase(x).startswith(filename)
)
for f in file_list:
opt = os.path.join(current_path, f)
comp_file = os.path.normcase(os.path.join(directory, f))
# complete regular files when there is not ``<dir>`` after option
# complete directories when there is ``<file>``, ``<path>`` or
# ``<dir>``after option
if completion_type != "dir" and os.path.isfile(opt):
yield comp_file
elif os.path.isdir(opt):
yield os.path.join(comp_file, "")

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"""Base Command class, and related routines"""
import logging
import logging.config
import optparse
import os
import sys
import traceback
from optparse import Values
from typing import List, Optional, Tuple
from pip._vendor.rich import reconfigure
from pip._vendor.rich import traceback as rich_traceback
from pip._internal.cli import cmdoptions
from pip._internal.cli.command_context import CommandContextMixIn
from pip._internal.cli.parser import ConfigOptionParser, UpdatingDefaultsHelpFormatter
from pip._internal.cli.status_codes import (
ERROR,
PREVIOUS_BUILD_DIR_ERROR,
UNKNOWN_ERROR,
VIRTUALENV_NOT_FOUND,
)
from pip._internal.exceptions import (
BadCommand,
CommandError,
DiagnosticPipError,
InstallationError,
NetworkConnectionError,
PreviousBuildDirError,
)
from pip._internal.utils.deprecation import deprecated
from pip._internal.utils.filesystem import check_path_owner
from pip._internal.utils.logging import BrokenStdoutLoggingError, setup_logging
from pip._internal.utils.misc import get_prog, normalize_path
from pip._internal.utils.temp_dir import TempDirectoryTypeRegistry as TempDirRegistry
from pip._internal.utils.temp_dir import global_tempdir_manager, tempdir_registry
from pip._internal.utils.virtualenv import running_under_virtualenv
__all__ = ["Command"]
logger = logging.getLogger(__name__)
class Command(CommandContextMixIn):
usage: str = ""
ignore_require_venv: bool = False
def __init__(self, name: str, summary: str, isolated: bool = False) -> None:
super().__init__()
self.name = name
self.summary = summary
self.parser = ConfigOptionParser(
usage=self.usage,
prog=f"{get_prog()} {name}",
formatter=UpdatingDefaultsHelpFormatter(),
add_help_option=False,
name=name,
description=self.__doc__,
isolated=isolated,
)
self.tempdir_registry: Optional[TempDirRegistry] = None
# Commands should add options to this option group
optgroup_name = f"{self.name.capitalize()} Options"
self.cmd_opts = optparse.OptionGroup(self.parser, optgroup_name)
# Add the general options
gen_opts = cmdoptions.make_option_group(
cmdoptions.general_group,
self.parser,
)
self.parser.add_option_group(gen_opts)
self.add_options()
def add_options(self) -> None:
pass
def handle_pip_version_check(self, options: Values) -> None:
"""
This is a no-op so that commands by default do not do the pip version
check.
"""
# Make sure we do the pip version check if the index_group options
# are present.
assert not hasattr(options, "no_index")
def run(self, options: Values, args: List[str]) -> int:
raise NotImplementedError
def _run_wrapper(self, level_number: int, options: Values, args: List[str]) -> int:
def _inner_run() -> int:
try:
return self.run(options, args)
finally:
self.handle_pip_version_check(options)
if options.debug_mode:
rich_traceback.install(show_locals=True)
return _inner_run()
try:
status = _inner_run()
assert isinstance(status, int)
return status
except DiagnosticPipError as exc:
logger.error("%s", exc, extra={"rich": True})
logger.debug("Exception information:", exc_info=True)
return ERROR
except PreviousBuildDirError as exc:
logger.critical(str(exc))
logger.debug("Exception information:", exc_info=True)
return PREVIOUS_BUILD_DIR_ERROR
except (
InstallationError,
BadCommand,
NetworkConnectionError,
) as exc:
logger.critical(str(exc))
logger.debug("Exception information:", exc_info=True)
return ERROR
except CommandError as exc:
logger.critical("%s", exc)
logger.debug("Exception information:", exc_info=True)
return ERROR
except BrokenStdoutLoggingError:
# Bypass our logger and write any remaining messages to
# stderr because stdout no longer works.
print("ERROR: Pipe to stdout was broken", file=sys.stderr)
if level_number <= logging.DEBUG:
traceback.print_exc(file=sys.stderr)
return ERROR
except KeyboardInterrupt:
logger.critical("Operation cancelled by user")
logger.debug("Exception information:", exc_info=True)
return ERROR
except BaseException:
logger.critical("Exception:", exc_info=True)
return UNKNOWN_ERROR
def parse_args(self, args: List[str]) -> Tuple[Values, List[str]]:
# factored out for testability
return self.parser.parse_args(args)
def main(self, args: List[str]) -> int:
try:
with self.main_context():
return self._main(args)
finally:
logging.shutdown()
def _main(self, args: List[str]) -> int:
# We must initialize this before the tempdir manager, otherwise the
# configuration would not be accessible by the time we clean up the
# tempdir manager.
self.tempdir_registry = self.enter_context(tempdir_registry())
# Intentionally set as early as possible so globally-managed temporary
# directories are available to the rest of the code.
self.enter_context(global_tempdir_manager())
options, args = self.parse_args(args)
# Set verbosity so that it can be used elsewhere.
self.verbosity = options.verbose - options.quiet
reconfigure(no_color=options.no_color)
level_number = setup_logging(
verbosity=self.verbosity,
no_color=options.no_color,
user_log_file=options.log,
)
always_enabled_features = set(options.features_enabled) & set(
cmdoptions.ALWAYS_ENABLED_FEATURES
)
if always_enabled_features:
logger.warning(
"The following features are always enabled: %s. ",
", ".join(sorted(always_enabled_features)),
)
# Make sure that the --python argument isn't specified after the
# subcommand. We can tell, because if --python was specified,
# we should only reach this point if we're running in the created
# subprocess, which has the _PIP_RUNNING_IN_SUBPROCESS environment
# variable set.
if options.python and "_PIP_RUNNING_IN_SUBPROCESS" not in os.environ:
logger.critical(
"The --python option must be placed before the pip subcommand name"
)
sys.exit(ERROR)
# TODO: Try to get these passing down from the command?
# without resorting to os.environ to hold these.
# This also affects isolated builds and it should.
if options.no_input:
os.environ["PIP_NO_INPUT"] = "1"
if options.exists_action:
os.environ["PIP_EXISTS_ACTION"] = " ".join(options.exists_action)
if options.require_venv and not self.ignore_require_venv:
# If a venv is required check if it can really be found
if not running_under_virtualenv():
logger.critical("Could not find an activated virtualenv (required).")
sys.exit(VIRTUALENV_NOT_FOUND)
if options.cache_dir:
options.cache_dir = normalize_path(options.cache_dir)
if not check_path_owner(options.cache_dir):
logger.warning(
"The directory '%s' or its parent directory is not owned "
"or is not writable by the current user. The cache "
"has been disabled. Check the permissions and owner of "
"that directory. If executing pip with sudo, you should "
"use sudo's -H flag.",
options.cache_dir,
)
options.cache_dir = None
if options.no_python_version_warning:
deprecated(
reason="--no-python-version-warning is deprecated.",
replacement="to remove the flag as it's a no-op",
gone_in="25.1",
issue=13154,
)
return self._run_wrapper(level_number, options, args)

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from contextlib import ExitStack, contextmanager
from typing import ContextManager, Generator, TypeVar
_T = TypeVar("_T", covariant=True)
class CommandContextMixIn:
def __init__(self) -> None:
super().__init__()
self._in_main_context = False
self._main_context = ExitStack()
@contextmanager
def main_context(self) -> Generator[None, None, None]:
assert not self._in_main_context
self._in_main_context = True
try:
with self._main_context:
yield
finally:
self._in_main_context = False
def enter_context(self, context_provider: ContextManager[_T]) -> _T:
assert self._in_main_context
return self._main_context.enter_context(context_provider)

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"""
Contains command classes which may interact with an index / the network.
Unlike its sister module, req_command, this module still uses lazy imports
so commands which don't always hit the network (e.g. list w/o --outdated or
--uptodate) don't need waste time importing PipSession and friends.
"""
import logging
import os
import sys
from optparse import Values
from typing import TYPE_CHECKING, List, Optional
from pip._vendor import certifi
from pip._internal.cli.base_command import Command
from pip._internal.cli.command_context import CommandContextMixIn
if TYPE_CHECKING:
from ssl import SSLContext
from pip._internal.network.session import PipSession
logger = logging.getLogger(__name__)
def _create_truststore_ssl_context() -> Optional["SSLContext"]:
if sys.version_info < (3, 10):
logger.debug("Disabling truststore because Python version isn't 3.10+")
return None
try:
import ssl
except ImportError:
logger.warning("Disabling truststore since ssl support is missing")
return None
try:
from pip._vendor import truststore
except ImportError:
logger.warning("Disabling truststore because platform isn't supported")
return None
ctx = truststore.SSLContext(ssl.PROTOCOL_TLS_CLIENT)
ctx.load_verify_locations(certifi.where())
return ctx
class SessionCommandMixin(CommandContextMixIn):
"""
A class mixin for command classes needing _build_session().
"""
def __init__(self) -> None:
super().__init__()
self._session: Optional[PipSession] = None
@classmethod
def _get_index_urls(cls, options: Values) -> Optional[List[str]]:
"""Return a list of index urls from user-provided options."""
index_urls = []
if not getattr(options, "no_index", False):
url = getattr(options, "index_url", None)
if url:
index_urls.append(url)
urls = getattr(options, "extra_index_urls", None)
if urls:
index_urls.extend(urls)
# Return None rather than an empty list
return index_urls or None
def get_default_session(self, options: Values) -> "PipSession":
"""Get a default-managed session."""
if self._session is None:
self._session = self.enter_context(self._build_session(options))
# there's no type annotation on requests.Session, so it's
# automatically ContextManager[Any] and self._session becomes Any,
# then https://github.com/python/mypy/issues/7696 kicks in
assert self._session is not None
return self._session
def _build_session(
self,
options: Values,
retries: Optional[int] = None,
timeout: Optional[int] = None,
) -> "PipSession":
from pip._internal.network.session import PipSession
cache_dir = options.cache_dir
assert not cache_dir or os.path.isabs(cache_dir)
if "legacy-certs" not in options.deprecated_features_enabled:
ssl_context = _create_truststore_ssl_context()
else:
ssl_context = None
session = PipSession(
cache=os.path.join(cache_dir, "http-v2") if cache_dir else None,
retries=retries if retries is not None else options.retries,
trusted_hosts=options.trusted_hosts,
index_urls=self._get_index_urls(options),
ssl_context=ssl_context,
)
# Handle custom ca-bundles from the user
if options.cert:
session.verify = options.cert
# Handle SSL client certificate
if options.client_cert:
session.cert = options.client_cert
# Handle timeouts
if options.timeout or timeout:
session.timeout = timeout if timeout is not None else options.timeout
# Handle configured proxies
if options.proxy:
session.proxies = {
"http": options.proxy,
"https": options.proxy,
}
session.trust_env = False
session.pip_proxy = options.proxy
# Determine if we can prompt the user for authentication or not
session.auth.prompting = not options.no_input
session.auth.keyring_provider = options.keyring_provider
return session
def _pip_self_version_check(session: "PipSession", options: Values) -> None:
from pip._internal.self_outdated_check import pip_self_version_check as check
check(session, options)
class IndexGroupCommand(Command, SessionCommandMixin):
"""
Abstract base class for commands with the index_group options.
This also corresponds to the commands that permit the pip version check.
"""
def handle_pip_version_check(self, options: Values) -> None:
"""
Do the pip version check if not disabled.
This overrides the default behavior of not doing the check.
"""
# Make sure the index_group options are present.
assert hasattr(options, "no_index")
if options.disable_pip_version_check or options.no_index:
return
try:
# Otherwise, check if we're using the latest version of pip available.
session = self._build_session(
options,
retries=0,
timeout=min(5, options.timeout),
)
with session:
_pip_self_version_check(session, options)
except Exception:
logger.warning("There was an error checking the latest version of pip.")
logger.debug("See below for error", exc_info=True)

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"""Primary application entrypoint.
"""
import locale
import logging
import os
import sys
import warnings
from typing import List, Optional
from pip._internal.cli.autocompletion import autocomplete
from pip._internal.cli.main_parser import parse_command
from pip._internal.commands import create_command
from pip._internal.exceptions import PipError
from pip._internal.utils import deprecation
logger = logging.getLogger(__name__)
# Do not import and use main() directly! Using it directly is actively
# discouraged by pip's maintainers. The name, location and behavior of
# this function is subject to change, so calling it directly is not
# portable across different pip versions.
# In addition, running pip in-process is unsupported and unsafe. This is
# elaborated in detail at
# https://pip.pypa.io/en/stable/user_guide/#using-pip-from-your-program.
# That document also provides suggestions that should work for nearly
# all users that are considering importing and using main() directly.
# However, we know that certain users will still want to invoke pip
# in-process. If you understand and accept the implications of using pip
# in an unsupported manner, the best approach is to use runpy to avoid
# depending on the exact location of this entry point.
# The following example shows how to use runpy to invoke pip in that
# case:
#
# sys.argv = ["pip", your, args, here]
# runpy.run_module("pip", run_name="__main__")
#
# Note that this will exit the process after running, unlike a direct
# call to main. As it is not safe to do any processing after calling
# main, this should not be an issue in practice.
def main(args: Optional[List[str]] = None) -> int:
if args is None:
args = sys.argv[1:]
# Suppress the pkg_resources deprecation warning
# Note - we use a module of .*pkg_resources to cover
# the normal case (pip._vendor.pkg_resources) and the
# devendored case (a bare pkg_resources)
warnings.filterwarnings(
action="ignore", category=DeprecationWarning, module=".*pkg_resources"
)
# Configure our deprecation warnings to be sent through loggers
deprecation.install_warning_logger()
autocomplete()
try:
cmd_name, cmd_args = parse_command(args)
except PipError as exc:
sys.stderr.write(f"ERROR: {exc}")
sys.stderr.write(os.linesep)
sys.exit(1)
# Needed for locale.getpreferredencoding(False) to work
# in pip._internal.utils.encoding.auto_decode
try:
locale.setlocale(locale.LC_ALL, "")
except locale.Error as e:
# setlocale can apparently crash if locale are uninitialized
logger.debug("Ignoring error %s when setting locale", e)
command = create_command(cmd_name, isolated=("--isolated" in cmd_args))
return command.main(cmd_args)

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"""A single place for constructing and exposing the main parser
"""
import os
import subprocess
import sys
from typing import List, Optional, Tuple
from pip._internal.build_env import get_runnable_pip
from pip._internal.cli import cmdoptions
from pip._internal.cli.parser import ConfigOptionParser, UpdatingDefaultsHelpFormatter
from pip._internal.commands import commands_dict, get_similar_commands
from pip._internal.exceptions import CommandError
from pip._internal.utils.misc import get_pip_version, get_prog
__all__ = ["create_main_parser", "parse_command"]
def create_main_parser() -> ConfigOptionParser:
"""Creates and returns the main parser for pip's CLI"""
parser = ConfigOptionParser(
usage="\n%prog <command> [options]",
add_help_option=False,
formatter=UpdatingDefaultsHelpFormatter(),
name="global",
prog=get_prog(),
)
parser.disable_interspersed_args()
parser.version = get_pip_version()
# add the general options
gen_opts = cmdoptions.make_option_group(cmdoptions.general_group, parser)
parser.add_option_group(gen_opts)
# so the help formatter knows
parser.main = True # type: ignore
# create command listing for description
description = [""] + [
f"{name:27} {command_info.summary}"
for name, command_info in commands_dict.items()
]
parser.description = "\n".join(description)
return parser
def identify_python_interpreter(python: str) -> Optional[str]:
# If the named file exists, use it.
# If it's a directory, assume it's a virtual environment and
# look for the environment's Python executable.
if os.path.exists(python):
if os.path.isdir(python):
# bin/python for Unix, Scripts/python.exe for Windows
# Try both in case of odd cases like cygwin.
for exe in ("bin/python", "Scripts/python.exe"):
py = os.path.join(python, exe)
if os.path.exists(py):
return py
else:
return python
# Could not find the interpreter specified
return None
def parse_command(args: List[str]) -> Tuple[str, List[str]]:
parser = create_main_parser()
# Note: parser calls disable_interspersed_args(), so the result of this
# call is to split the initial args into the general options before the
# subcommand and everything else.
# For example:
# args: ['--timeout=5', 'install', '--user', 'INITools']
# general_options: ['--timeout==5']
# args_else: ['install', '--user', 'INITools']
general_options, args_else = parser.parse_args(args)
# --python
if general_options.python and "_PIP_RUNNING_IN_SUBPROCESS" not in os.environ:
# Re-invoke pip using the specified Python interpreter
interpreter = identify_python_interpreter(general_options.python)
if interpreter is None:
raise CommandError(
f"Could not locate Python interpreter {general_options.python}"
)
pip_cmd = [
interpreter,
get_runnable_pip(),
]
pip_cmd.extend(args)
# Set a flag so the child doesn't re-invoke itself, causing
# an infinite loop.
os.environ["_PIP_RUNNING_IN_SUBPROCESS"] = "1"
returncode = 0
try:
proc = subprocess.run(pip_cmd)
returncode = proc.returncode
except (subprocess.SubprocessError, OSError) as exc:
raise CommandError(f"Failed to run pip under {interpreter}: {exc}")
sys.exit(returncode)
# --version
if general_options.version:
sys.stdout.write(parser.version)
sys.stdout.write(os.linesep)
sys.exit()
# pip || pip help -> print_help()
if not args_else or (args_else[0] == "help" and len(args_else) == 1):
parser.print_help()
sys.exit()
# the subcommand name
cmd_name = args_else[0]
if cmd_name not in commands_dict:
guess = get_similar_commands(cmd_name)
msg = [f'unknown command "{cmd_name}"']
if guess:
msg.append(f'maybe you meant "{guess}"')
raise CommandError(" - ".join(msg))
# all the args without the subcommand
cmd_args = args[:]
cmd_args.remove(cmd_name)
return cmd_name, cmd_args

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"""Base option parser setup"""
import logging
import optparse
import shutil
import sys
import textwrap
from contextlib import suppress
from typing import Any, Dict, Generator, List, NoReturn, Optional, Tuple
from pip._internal.cli.status_codes import UNKNOWN_ERROR
from pip._internal.configuration import Configuration, ConfigurationError
from pip._internal.utils.misc import redact_auth_from_url, strtobool
logger = logging.getLogger(__name__)
class PrettyHelpFormatter(optparse.IndentedHelpFormatter):
"""A prettier/less verbose help formatter for optparse."""
def __init__(self, *args: Any, **kwargs: Any) -> None:
# help position must be aligned with __init__.parseopts.description
kwargs["max_help_position"] = 30
kwargs["indent_increment"] = 1
kwargs["width"] = shutil.get_terminal_size()[0] - 2
super().__init__(*args, **kwargs)
def format_option_strings(self, option: optparse.Option) -> str:
return self._format_option_strings(option)
def _format_option_strings(
self, option: optparse.Option, mvarfmt: str = " <{}>", optsep: str = ", "
) -> str:
"""
Return a comma-separated list of option strings and metavars.
:param option: tuple of (short opt, long opt), e.g: ('-f', '--format')
:param mvarfmt: metavar format string
:param optsep: separator
"""
opts = []
if option._short_opts:
opts.append(option._short_opts[0])
if option._long_opts:
opts.append(option._long_opts[0])
if len(opts) > 1:
opts.insert(1, optsep)
if option.takes_value():
assert option.dest is not None
metavar = option.metavar or option.dest.lower()
opts.append(mvarfmt.format(metavar.lower()))
return "".join(opts)
def format_heading(self, heading: str) -> str:
if heading == "Options":
return ""
return heading + ":\n"
def format_usage(self, usage: str) -> str:
"""
Ensure there is only one newline between usage and the first heading
if there is no description.
"""
msg = "\nUsage: {}\n".format(self.indent_lines(textwrap.dedent(usage), " "))
return msg
def format_description(self, description: Optional[str]) -> str:
# leave full control over description to us
if description:
if hasattr(self.parser, "main"):
label = "Commands"
else:
label = "Description"
# some doc strings have initial newlines, some don't
description = description.lstrip("\n")
# some doc strings have final newlines and spaces, some don't
description = description.rstrip()
# dedent, then reindent
description = self.indent_lines(textwrap.dedent(description), " ")
description = f"{label}:\n{description}\n"
return description
else:
return ""
def format_epilog(self, epilog: Optional[str]) -> str:
# leave full control over epilog to us
if epilog:
return epilog
else:
return ""
def indent_lines(self, text: str, indent: str) -> str:
new_lines = [indent + line for line in text.split("\n")]
return "\n".join(new_lines)
class UpdatingDefaultsHelpFormatter(PrettyHelpFormatter):
"""Custom help formatter for use in ConfigOptionParser.
This is updates the defaults before expanding them, allowing
them to show up correctly in the help listing.
Also redact auth from url type options
"""
def expand_default(self, option: optparse.Option) -> str:
default_values = None
if self.parser is not None:
assert isinstance(self.parser, ConfigOptionParser)
self.parser._update_defaults(self.parser.defaults)
assert option.dest is not None
default_values = self.parser.defaults.get(option.dest)
help_text = super().expand_default(option)
if default_values and option.metavar == "URL":
if isinstance(default_values, str):
default_values = [default_values]
# If its not a list, we should abort and just return the help text
if not isinstance(default_values, list):
default_values = []
for val in default_values:
help_text = help_text.replace(val, redact_auth_from_url(val))
return help_text
class CustomOptionParser(optparse.OptionParser):
def insert_option_group(
self, idx: int, *args: Any, **kwargs: Any
) -> optparse.OptionGroup:
"""Insert an OptionGroup at a given position."""
group = self.add_option_group(*args, **kwargs)
self.option_groups.pop()
self.option_groups.insert(idx, group)
return group
@property
def option_list_all(self) -> List[optparse.Option]:
"""Get a list of all options, including those in option groups."""
res = self.option_list[:]
for i in self.option_groups:
res.extend(i.option_list)
return res
class ConfigOptionParser(CustomOptionParser):
"""Custom option parser which updates its defaults by checking the
configuration files and environmental variables"""
def __init__(
self,
*args: Any,
name: str,
isolated: bool = False,
**kwargs: Any,
) -> None:
self.name = name
self.config = Configuration(isolated)
assert self.name
super().__init__(*args, **kwargs)
def check_default(self, option: optparse.Option, key: str, val: Any) -> Any:
try:
return option.check_value(key, val)
except optparse.OptionValueError as exc:
print(f"An error occurred during configuration: {exc}")
sys.exit(3)
def _get_ordered_configuration_items(
self,
) -> Generator[Tuple[str, Any], None, None]:
# Configuration gives keys in an unordered manner. Order them.
override_order = ["global", self.name, ":env:"]
# Pool the options into different groups
section_items: Dict[str, List[Tuple[str, Any]]] = {
name: [] for name in override_order
}
for section_key, val in self.config.items():
# ignore empty values
if not val:
logger.debug(
"Ignoring configuration key '%s' as it's value is empty.",
section_key,
)
continue
section, key = section_key.split(".", 1)
if section in override_order:
section_items[section].append((key, val))
# Yield each group in their override order
for section in override_order:
for key, val in section_items[section]:
yield key, val
def _update_defaults(self, defaults: Dict[str, Any]) -> Dict[str, Any]:
"""Updates the given defaults with values from the config files and
the environ. Does a little special handling for certain types of
options (lists)."""
# Accumulate complex default state.
self.values = optparse.Values(self.defaults)
late_eval = set()
# Then set the options with those values
for key, val in self._get_ordered_configuration_items():
# '--' because configuration supports only long names
option = self.get_option("--" + key)
# Ignore options not present in this parser. E.g. non-globals put
# in [global] by users that want them to apply to all applicable
# commands.
if option is None:
continue
assert option.dest is not None
if option.action in ("store_true", "store_false"):
try:
val = strtobool(val)
except ValueError:
self.error(
f"{val} is not a valid value for {key} option, "
"please specify a boolean value like yes/no, "
"true/false or 1/0 instead."
)
elif option.action == "count":
with suppress(ValueError):
val = strtobool(val)
with suppress(ValueError):
val = int(val)
if not isinstance(val, int) or val < 0:
self.error(
f"{val} is not a valid value for {key} option, "
"please instead specify either a non-negative integer "
"or a boolean value like yes/no or false/true "
"which is equivalent to 1/0."
)
elif option.action == "append":
val = val.split()
val = [self.check_default(option, key, v) for v in val]
elif option.action == "callback":
assert option.callback is not None
late_eval.add(option.dest)
opt_str = option.get_opt_string()
val = option.convert_value(opt_str, val)
# From take_action
args = option.callback_args or ()
kwargs = option.callback_kwargs or {}
option.callback(option, opt_str, val, self, *args, **kwargs)
else:
val = self.check_default(option, key, val)
defaults[option.dest] = val
for key in late_eval:
defaults[key] = getattr(self.values, key)
self.values = None
return defaults
def get_default_values(self) -> optparse.Values:
"""Overriding to make updating the defaults after instantiation of
the option parser possible, _update_defaults() does the dirty work."""
if not self.process_default_values:
# Old, pre-Optik 1.5 behaviour.
return optparse.Values(self.defaults)
# Load the configuration, or error out in case of an error
try:
self.config.load()
except ConfigurationError as err:
self.exit(UNKNOWN_ERROR, str(err))
defaults = self._update_defaults(self.defaults.copy()) # ours
for option in self._get_all_options():
assert option.dest is not None
default = defaults.get(option.dest)
if isinstance(default, str):
opt_str = option.get_opt_string()
defaults[option.dest] = option.check_value(opt_str, default)
return optparse.Values(defaults)
def error(self, msg: str) -> NoReturn:
self.print_usage(sys.stderr)
self.exit(UNKNOWN_ERROR, f"{msg}\n")

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import functools
import sys
from typing import Callable, Generator, Iterable, Iterator, Optional, Tuple
from pip._vendor.rich.progress import (
BarColumn,
DownloadColumn,
FileSizeColumn,
Progress,
ProgressColumn,
SpinnerColumn,
TextColumn,
TimeElapsedColumn,
TimeRemainingColumn,
TransferSpeedColumn,
)
from pip._internal.cli.spinners import RateLimiter
from pip._internal.utils.logging import get_indentation
DownloadProgressRenderer = Callable[[Iterable[bytes]], Iterator[bytes]]
def _rich_progress_bar(
iterable: Iterable[bytes],
*,
bar_type: str,
size: Optional[int],
) -> Generator[bytes, None, None]:
assert bar_type == "on", "This should only be used in the default mode."
if not size:
total = float("inf")
columns: Tuple[ProgressColumn, ...] = (
TextColumn("[progress.description]{task.description}"),
SpinnerColumn("line", speed=1.5),
FileSizeColumn(),
TransferSpeedColumn(),
TimeElapsedColumn(),
)
else:
total = size
columns = (
TextColumn("[progress.description]{task.description}"),
BarColumn(),
DownloadColumn(),
TransferSpeedColumn(),
TextColumn("eta"),
TimeRemainingColumn(),
)
progress = Progress(*columns, refresh_per_second=5)
task_id = progress.add_task(" " * (get_indentation() + 2), total=total)
with progress:
for chunk in iterable:
yield chunk
progress.update(task_id, advance=len(chunk))
def _raw_progress_bar(
iterable: Iterable[bytes],
*,
size: Optional[int],
) -> Generator[bytes, None, None]:
def write_progress(current: int, total: int) -> None:
sys.stdout.write(f"Progress {current} of {total}\n")
sys.stdout.flush()
current = 0
total = size or 0
rate_limiter = RateLimiter(0.25)
write_progress(current, total)
for chunk in iterable:
current += len(chunk)
if rate_limiter.ready() or current == total:
write_progress(current, total)
rate_limiter.reset()
yield chunk
def get_download_progress_renderer(
*, bar_type: str, size: Optional[int] = None
) -> DownloadProgressRenderer:
"""Get an object that can be used to render the download progress.
Returns a callable, that takes an iterable to "wrap".
"""
if bar_type == "on":
return functools.partial(_rich_progress_bar, bar_type=bar_type, size=size)
elif bar_type == "raw":
return functools.partial(_raw_progress_bar, size=size)
else:
return iter # no-op, when passed an iterator

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"""Contains the RequirementCommand base class.
This class is in a separate module so the commands that do not always
need PackageFinder capability don't unnecessarily import the
PackageFinder machinery and all its vendored dependencies, etc.
"""
import logging
from functools import partial
from optparse import Values
from typing import Any, List, Optional, Tuple
from pip._internal.cache import WheelCache
from pip._internal.cli import cmdoptions
from pip._internal.cli.index_command import IndexGroupCommand
from pip._internal.cli.index_command import SessionCommandMixin as SessionCommandMixin
from pip._internal.exceptions import CommandError, PreviousBuildDirError
from pip._internal.index.collector import LinkCollector
from pip._internal.index.package_finder import PackageFinder
from pip._internal.models.selection_prefs import SelectionPreferences
from pip._internal.models.target_python import TargetPython
from pip._internal.network.session import PipSession
from pip._internal.operations.build.build_tracker import BuildTracker
from pip._internal.operations.prepare import RequirementPreparer
from pip._internal.req.constructors import (
install_req_from_editable,
install_req_from_line,
install_req_from_parsed_requirement,
install_req_from_req_string,
)
from pip._internal.req.req_file import parse_requirements
from pip._internal.req.req_install import InstallRequirement
from pip._internal.resolution.base import BaseResolver
from pip._internal.utils.temp_dir import (
TempDirectory,
TempDirectoryTypeRegistry,
tempdir_kinds,
)
logger = logging.getLogger(__name__)
KEEPABLE_TEMPDIR_TYPES = [
tempdir_kinds.BUILD_ENV,
tempdir_kinds.EPHEM_WHEEL_CACHE,
tempdir_kinds.REQ_BUILD,
]
def with_cleanup(func: Any) -> Any:
"""Decorator for common logic related to managing temporary
directories.
"""
def configure_tempdir_registry(registry: TempDirectoryTypeRegistry) -> None:
for t in KEEPABLE_TEMPDIR_TYPES:
registry.set_delete(t, False)
def wrapper(
self: RequirementCommand, options: Values, args: List[Any]
) -> Optional[int]:
assert self.tempdir_registry is not None
if options.no_clean:
configure_tempdir_registry(self.tempdir_registry)
try:
return func(self, options, args)
except PreviousBuildDirError:
# This kind of conflict can occur when the user passes an explicit
# build directory with a pre-existing folder. In that case we do
# not want to accidentally remove it.
configure_tempdir_registry(self.tempdir_registry)
raise
return wrapper
class RequirementCommand(IndexGroupCommand):
def __init__(self, *args: Any, **kw: Any) -> None:
super().__init__(*args, **kw)
self.cmd_opts.add_option(cmdoptions.no_clean())
@staticmethod
def determine_resolver_variant(options: Values) -> str:
"""Determines which resolver should be used, based on the given options."""
if "legacy-resolver" in options.deprecated_features_enabled:
return "legacy"
return "resolvelib"
@classmethod
def make_requirement_preparer(
cls,
temp_build_dir: TempDirectory,
options: Values,
build_tracker: BuildTracker,
session: PipSession,
finder: PackageFinder,
use_user_site: bool,
download_dir: Optional[str] = None,
verbosity: int = 0,
) -> RequirementPreparer:
"""
Create a RequirementPreparer instance for the given parameters.
"""
temp_build_dir_path = temp_build_dir.path
assert temp_build_dir_path is not None
legacy_resolver = False
resolver_variant = cls.determine_resolver_variant(options)
if resolver_variant == "resolvelib":
lazy_wheel = "fast-deps" in options.features_enabled
if lazy_wheel:
logger.warning(
"pip is using lazily downloaded wheels using HTTP "
"range requests to obtain dependency information. "
"This experimental feature is enabled through "
"--use-feature=fast-deps and it is not ready for "
"production."
)
else:
legacy_resolver = True
lazy_wheel = False
if "fast-deps" in options.features_enabled:
logger.warning(
"fast-deps has no effect when used with the legacy resolver."
)
return RequirementPreparer(
build_dir=temp_build_dir_path,
src_dir=options.src_dir,
download_dir=download_dir,
build_isolation=options.build_isolation,
check_build_deps=options.check_build_deps,
build_tracker=build_tracker,
session=session,
progress_bar=options.progress_bar,
finder=finder,
require_hashes=options.require_hashes,
use_user_site=use_user_site,
lazy_wheel=lazy_wheel,
verbosity=verbosity,
legacy_resolver=legacy_resolver,
)
@classmethod
def make_resolver(
cls,
preparer: RequirementPreparer,
finder: PackageFinder,
options: Values,
wheel_cache: Optional[WheelCache] = None,
use_user_site: bool = False,
ignore_installed: bool = True,
ignore_requires_python: bool = False,
force_reinstall: bool = False,
upgrade_strategy: str = "to-satisfy-only",
use_pep517: Optional[bool] = None,
py_version_info: Optional[Tuple[int, ...]] = None,
) -> BaseResolver:
"""
Create a Resolver instance for the given parameters.
"""
make_install_req = partial(
install_req_from_req_string,
isolated=options.isolated_mode,
use_pep517=use_pep517,
)
resolver_variant = cls.determine_resolver_variant(options)
# The long import name and duplicated invocation is needed to convince
# Mypy into correctly typechecking. Otherwise it would complain the
# "Resolver" class being redefined.
if resolver_variant == "resolvelib":
import pip._internal.resolution.resolvelib.resolver
return pip._internal.resolution.resolvelib.resolver.Resolver(
preparer=preparer,
finder=finder,
wheel_cache=wheel_cache,
make_install_req=make_install_req,
use_user_site=use_user_site,
ignore_dependencies=options.ignore_dependencies,
ignore_installed=ignore_installed,
ignore_requires_python=ignore_requires_python,
force_reinstall=force_reinstall,
upgrade_strategy=upgrade_strategy,
py_version_info=py_version_info,
)
import pip._internal.resolution.legacy.resolver
return pip._internal.resolution.legacy.resolver.Resolver(
preparer=preparer,
finder=finder,
wheel_cache=wheel_cache,
make_install_req=make_install_req,
use_user_site=use_user_site,
ignore_dependencies=options.ignore_dependencies,
ignore_installed=ignore_installed,
ignore_requires_python=ignore_requires_python,
force_reinstall=force_reinstall,
upgrade_strategy=upgrade_strategy,
py_version_info=py_version_info,
)
def get_requirements(
self,
args: List[str],
options: Values,
finder: PackageFinder,
session: PipSession,
) -> List[InstallRequirement]:
"""
Parse command-line arguments into the corresponding requirements.
"""
requirements: List[InstallRequirement] = []
for filename in options.constraints:
for parsed_req in parse_requirements(
filename,
constraint=True,
finder=finder,
options=options,
session=session,
):
req_to_add = install_req_from_parsed_requirement(
parsed_req,
isolated=options.isolated_mode,
user_supplied=False,
)
requirements.append(req_to_add)
for req in args:
req_to_add = install_req_from_line(
req,
comes_from=None,
isolated=options.isolated_mode,
use_pep517=options.use_pep517,
user_supplied=True,
config_settings=getattr(options, "config_settings", None),
)
requirements.append(req_to_add)
for req in options.editables:
req_to_add = install_req_from_editable(
req,
user_supplied=True,
isolated=options.isolated_mode,
use_pep517=options.use_pep517,
config_settings=getattr(options, "config_settings", None),
)
requirements.append(req_to_add)
# NOTE: options.require_hashes may be set if --require-hashes is True
for filename in options.requirements:
for parsed_req in parse_requirements(
filename, finder=finder, options=options, session=session
):
req_to_add = install_req_from_parsed_requirement(
parsed_req,
isolated=options.isolated_mode,
use_pep517=options.use_pep517,
user_supplied=True,
config_settings=(
parsed_req.options.get("config_settings")
if parsed_req.options
else None
),
)
requirements.append(req_to_add)
# If any requirement has hash options, enable hash checking.
if any(req.has_hash_options for req in requirements):
options.require_hashes = True
if not (args or options.editables or options.requirements):
opts = {"name": self.name}
if options.find_links:
raise CommandError(
"You must give at least one requirement to {name} "
'(maybe you meant "pip {name} {links}"?)'.format(
**dict(opts, links=" ".join(options.find_links))
)
)
else:
raise CommandError(
"You must give at least one requirement to {name} "
'(see "pip help {name}")'.format(**opts)
)
return requirements
@staticmethod
def trace_basic_info(finder: PackageFinder) -> None:
"""
Trace basic information about the provided objects.
"""
# Display where finder is looking for packages
search_scope = finder.search_scope
locations = search_scope.get_formatted_locations()
if locations:
logger.info(locations)
def _build_package_finder(
self,
options: Values,
session: PipSession,
target_python: Optional[TargetPython] = None,
ignore_requires_python: Optional[bool] = None,
) -> PackageFinder:
"""
Create a package finder appropriate to this requirement command.
:param ignore_requires_python: Whether to ignore incompatible
"Requires-Python" values in links. Defaults to False.
"""
link_collector = LinkCollector.create(session, options=options)
selection_prefs = SelectionPreferences(
allow_yanked=True,
format_control=options.format_control,
allow_all_prereleases=options.pre,
prefer_binary=options.prefer_binary,
ignore_requires_python=ignore_requires_python,
)
return PackageFinder.create(
link_collector=link_collector,
selection_prefs=selection_prefs,
target_python=target_python,
)

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import contextlib
import itertools
import logging
import sys
import time
from typing import IO, Generator, Optional
from pip._internal.utils.compat import WINDOWS
from pip._internal.utils.logging import get_indentation
logger = logging.getLogger(__name__)
class SpinnerInterface:
def spin(self) -> None:
raise NotImplementedError()
def finish(self, final_status: str) -> None:
raise NotImplementedError()
class InteractiveSpinner(SpinnerInterface):
def __init__(
self,
message: str,
file: Optional[IO[str]] = None,
spin_chars: str = "-\\|/",
# Empirically, 8 updates/second looks nice
min_update_interval_seconds: float = 0.125,
):
self._message = message
if file is None:
file = sys.stdout
self._file = file
self._rate_limiter = RateLimiter(min_update_interval_seconds)
self._finished = False
self._spin_cycle = itertools.cycle(spin_chars)
self._file.write(" " * get_indentation() + self._message + " ... ")
self._width = 0
def _write(self, status: str) -> None:
assert not self._finished
# Erase what we wrote before by backspacing to the beginning, writing
# spaces to overwrite the old text, and then backspacing again
backup = "\b" * self._width
self._file.write(backup + " " * self._width + backup)
# Now we have a blank slate to add our status
self._file.write(status)
self._width = len(status)
self._file.flush()
self._rate_limiter.reset()
def spin(self) -> None:
if self._finished:
return
if not self._rate_limiter.ready():
return
self._write(next(self._spin_cycle))
def finish(self, final_status: str) -> None:
if self._finished:
return
self._write(final_status)
self._file.write("\n")
self._file.flush()
self._finished = True
# Used for dumb terminals, non-interactive installs (no tty), etc.
# We still print updates occasionally (once every 60 seconds by default) to
# act as a keep-alive for systems like Travis-CI that take lack-of-output as
# an indication that a task has frozen.
class NonInteractiveSpinner(SpinnerInterface):
def __init__(self, message: str, min_update_interval_seconds: float = 60.0) -> None:
self._message = message
self._finished = False
self._rate_limiter = RateLimiter(min_update_interval_seconds)
self._update("started")
def _update(self, status: str) -> None:
assert not self._finished
self._rate_limiter.reset()
logger.info("%s: %s", self._message, status)
def spin(self) -> None:
if self._finished:
return
if not self._rate_limiter.ready():
return
self._update("still running...")
def finish(self, final_status: str) -> None:
if self._finished:
return
self._update(f"finished with status '{final_status}'")
self._finished = True
class RateLimiter:
def __init__(self, min_update_interval_seconds: float) -> None:
self._min_update_interval_seconds = min_update_interval_seconds
self._last_update: float = 0
def ready(self) -> bool:
now = time.time()
delta = now - self._last_update
return delta >= self._min_update_interval_seconds
def reset(self) -> None:
self._last_update = time.time()
@contextlib.contextmanager
def open_spinner(message: str) -> Generator[SpinnerInterface, None, None]:
# Interactive spinner goes directly to sys.stdout rather than being routed
# through the logging system, but it acts like it has level INFO,
# i.e. it's only displayed if we're at level INFO or better.
# Non-interactive spinner goes through the logging system, so it is always
# in sync with logging configuration.
if sys.stdout.isatty() and logger.getEffectiveLevel() <= logging.INFO:
spinner: SpinnerInterface = InteractiveSpinner(message)
else:
spinner = NonInteractiveSpinner(message)
try:
with hidden_cursor(sys.stdout):
yield spinner
except KeyboardInterrupt:
spinner.finish("canceled")
raise
except Exception:
spinner.finish("error")
raise
else:
spinner.finish("done")
HIDE_CURSOR = "\x1b[?25l"
SHOW_CURSOR = "\x1b[?25h"
@contextlib.contextmanager
def hidden_cursor(file: IO[str]) -> Generator[None, None, None]:
# The Windows terminal does not support the hide/show cursor ANSI codes,
# even via colorama. So don't even try.
if WINDOWS:
yield
# We don't want to clutter the output with control characters if we're
# writing to a file, or if the user is running with --quiet.
# See https://github.com/pypa/pip/issues/3418
elif not file.isatty() or logger.getEffectiveLevel() > logging.INFO:
yield
else:
file.write(HIDE_CURSOR)
try:
yield
finally:
file.write(SHOW_CURSOR)

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SUCCESS = 0
ERROR = 1
UNKNOWN_ERROR = 2
VIRTUALENV_NOT_FOUND = 3
PREVIOUS_BUILD_DIR_ERROR = 4
NO_MATCHES_FOUND = 23

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"""
Package containing all pip commands
"""
import importlib
from collections import namedtuple
from typing import Any, Dict, Optional
from pip._internal.cli.base_command import Command
CommandInfo = namedtuple("CommandInfo", "module_path, class_name, summary")
# This dictionary does a bunch of heavy lifting for help output:
# - Enables avoiding additional (costly) imports for presenting `--help`.
# - The ordering matters for help display.
#
# Even though the module path starts with the same "pip._internal.commands"
# prefix, the full path makes testing easier (specifically when modifying
# `commands_dict` in test setup / teardown).
commands_dict: Dict[str, CommandInfo] = {
"install": CommandInfo(
"pip._internal.commands.install",
"InstallCommand",
"Install packages.",
),
"download": CommandInfo(
"pip._internal.commands.download",
"DownloadCommand",
"Download packages.",
),
"uninstall": CommandInfo(
"pip._internal.commands.uninstall",
"UninstallCommand",
"Uninstall packages.",
),
"freeze": CommandInfo(
"pip._internal.commands.freeze",
"FreezeCommand",
"Output installed packages in requirements format.",
),
"inspect": CommandInfo(
"pip._internal.commands.inspect",
"InspectCommand",
"Inspect the python environment.",
),
"list": CommandInfo(
"pip._internal.commands.list",
"ListCommand",
"List installed packages.",
),
"show": CommandInfo(
"pip._internal.commands.show",
"ShowCommand",
"Show information about installed packages.",
),
"check": CommandInfo(
"pip._internal.commands.check",
"CheckCommand",
"Verify installed packages have compatible dependencies.",
),
"config": CommandInfo(
"pip._internal.commands.configuration",
"ConfigurationCommand",
"Manage local and global configuration.",
),
"search": CommandInfo(
"pip._internal.commands.search",
"SearchCommand",
"Search PyPI for packages.",
),
"cache": CommandInfo(
"pip._internal.commands.cache",
"CacheCommand",
"Inspect and manage pip's wheel cache.",
),
"index": CommandInfo(
"pip._internal.commands.index",
"IndexCommand",
"Inspect information available from package indexes.",
),
"wheel": CommandInfo(
"pip._internal.commands.wheel",
"WheelCommand",
"Build wheels from your requirements.",
),
"hash": CommandInfo(
"pip._internal.commands.hash",
"HashCommand",
"Compute hashes of package archives.",
),
"completion": CommandInfo(
"pip._internal.commands.completion",
"CompletionCommand",
"A helper command used for command completion.",
),
"debug": CommandInfo(
"pip._internal.commands.debug",
"DebugCommand",
"Show information useful for debugging.",
),
"help": CommandInfo(
"pip._internal.commands.help",
"HelpCommand",
"Show help for commands.",
),
}
def create_command(name: str, **kwargs: Any) -> Command:
"""
Create an instance of the Command class with the given name.
"""
module_path, class_name, summary = commands_dict[name]
module = importlib.import_module(module_path)
command_class = getattr(module, class_name)
command = command_class(name=name, summary=summary, **kwargs)
return command
def get_similar_commands(name: str) -> Optional[str]:
"""Command name auto-correct."""
from difflib import get_close_matches
name = name.lower()
close_commands = get_close_matches(name, commands_dict.keys())
if close_commands:
return close_commands[0]
else:
return None

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import os
import textwrap
from optparse import Values
from typing import Any, List
from pip._internal.cli.base_command import Command
from pip._internal.cli.status_codes import ERROR, SUCCESS
from pip._internal.exceptions import CommandError, PipError
from pip._internal.utils import filesystem
from pip._internal.utils.logging import getLogger
from pip._internal.utils.misc import format_size
logger = getLogger(__name__)
class CacheCommand(Command):
"""
Inspect and manage pip's wheel cache.
Subcommands:
- dir: Show the cache directory.
- info: Show information about the cache.
- list: List filenames of packages stored in the cache.
- remove: Remove one or more package from the cache.
- purge: Remove all items from the cache.
``<pattern>`` can be a glob expression or a package name.
"""
ignore_require_venv = True
usage = """
%prog dir
%prog info
%prog list [<pattern>] [--format=[human, abspath]]
%prog remove <pattern>
%prog purge
"""
def add_options(self) -> None:
self.cmd_opts.add_option(
"--format",
action="store",
dest="list_format",
default="human",
choices=("human", "abspath"),
help="Select the output format among: human (default) or abspath",
)
self.parser.insert_option_group(0, self.cmd_opts)
def run(self, options: Values, args: List[str]) -> int:
handlers = {
"dir": self.get_cache_dir,
"info": self.get_cache_info,
"list": self.list_cache_items,
"remove": self.remove_cache_items,
"purge": self.purge_cache,
}
if not options.cache_dir:
logger.error("pip cache commands can not function since cache is disabled.")
return ERROR
# Determine action
if not args or args[0] not in handlers:
logger.error(
"Need an action (%s) to perform.",
", ".join(sorted(handlers)),
)
return ERROR
action = args[0]
# Error handling happens here, not in the action-handlers.
try:
handlers[action](options, args[1:])
except PipError as e:
logger.error(e.args[0])
return ERROR
return SUCCESS
def get_cache_dir(self, options: Values, args: List[Any]) -> None:
if args:
raise CommandError("Too many arguments")
logger.info(options.cache_dir)
def get_cache_info(self, options: Values, args: List[Any]) -> None:
if args:
raise CommandError("Too many arguments")
num_http_files = len(self._find_http_files(options))
num_packages = len(self._find_wheels(options, "*"))
http_cache_location = self._cache_dir(options, "http-v2")
old_http_cache_location = self._cache_dir(options, "http")
wheels_cache_location = self._cache_dir(options, "wheels")
http_cache_size = filesystem.format_size(
filesystem.directory_size(http_cache_location)
+ filesystem.directory_size(old_http_cache_location)
)
wheels_cache_size = filesystem.format_directory_size(wheels_cache_location)
message = (
textwrap.dedent(
"""
Package index page cache location (pip v23.3+): {http_cache_location}
Package index page cache location (older pips): {old_http_cache_location}
Package index page cache size: {http_cache_size}
Number of HTTP files: {num_http_files}
Locally built wheels location: {wheels_cache_location}
Locally built wheels size: {wheels_cache_size}
Number of locally built wheels: {package_count}
""" # noqa: E501
)
.format(
http_cache_location=http_cache_location,
old_http_cache_location=old_http_cache_location,
http_cache_size=http_cache_size,
num_http_files=num_http_files,
wheels_cache_location=wheels_cache_location,
package_count=num_packages,
wheels_cache_size=wheels_cache_size,
)
.strip()
)
logger.info(message)
def list_cache_items(self, options: Values, args: List[Any]) -> None:
if len(args) > 1:
raise CommandError("Too many arguments")
if args:
pattern = args[0]
else:
pattern = "*"
files = self._find_wheels(options, pattern)
if options.list_format == "human":
self.format_for_human(files)
else:
self.format_for_abspath(files)
def format_for_human(self, files: List[str]) -> None:
if not files:
logger.info("No locally built wheels cached.")
return
results = []
for filename in files:
wheel = os.path.basename(filename)
size = filesystem.format_file_size(filename)
results.append(f" - {wheel} ({size})")
logger.info("Cache contents:\n")
logger.info("\n".join(sorted(results)))
def format_for_abspath(self, files: List[str]) -> None:
if files:
logger.info("\n".join(sorted(files)))
def remove_cache_items(self, options: Values, args: List[Any]) -> None:
if len(args) > 1:
raise CommandError("Too many arguments")
if not args:
raise CommandError("Please provide a pattern")
files = self._find_wheels(options, args[0])
no_matching_msg = "No matching packages"
if args[0] == "*":
# Only fetch http files if no specific pattern given
files += self._find_http_files(options)
else:
# Add the pattern to the log message
no_matching_msg += f' for pattern "{args[0]}"'
if not files:
logger.warning(no_matching_msg)
bytes_removed = 0
for filename in files:
bytes_removed += os.stat(filename).st_size
os.unlink(filename)
logger.verbose("Removed %s", filename)
logger.info("Files removed: %s (%s)", len(files), format_size(bytes_removed))
def purge_cache(self, options: Values, args: List[Any]) -> None:
if args:
raise CommandError("Too many arguments")
return self.remove_cache_items(options, ["*"])
def _cache_dir(self, options: Values, subdir: str) -> str:
return os.path.join(options.cache_dir, subdir)
def _find_http_files(self, options: Values) -> List[str]:
old_http_dir = self._cache_dir(options, "http")
new_http_dir = self._cache_dir(options, "http-v2")
return filesystem.find_files(old_http_dir, "*") + filesystem.find_files(
new_http_dir, "*"
)
def _find_wheels(self, options: Values, pattern: str) -> List[str]:
wheel_dir = self._cache_dir(options, "wheels")
# The wheel filename format, as specified in PEP 427, is:
# {distribution}-{version}(-{build})?-{python}-{abi}-{platform}.whl
#
# Additionally, non-alphanumeric values in the distribution are
# normalized to underscores (_), meaning hyphens can never occur
# before `-{version}`.
#
# Given that information:
# - If the pattern we're given contains a hyphen (-), the user is
# providing at least the version. Thus, we can just append `*.whl`
# to match the rest of it.
# - If the pattern we're given doesn't contain a hyphen (-), the
# user is only providing the name. Thus, we append `-*.whl` to
# match the hyphen before the version, followed by anything else.
#
# PEP 427: https://www.python.org/dev/peps/pep-0427/
pattern = pattern + ("*.whl" if "-" in pattern else "-*.whl")
return filesystem.find_files(wheel_dir, pattern)

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import logging
from optparse import Values
from typing import List
from pip._internal.cli.base_command import Command
from pip._internal.cli.status_codes import ERROR, SUCCESS
from pip._internal.metadata import get_default_environment
from pip._internal.operations.check import (
check_package_set,
check_unsupported,
create_package_set_from_installed,
)
from pip._internal.utils.compatibility_tags import get_supported
from pip._internal.utils.misc import write_output
logger = logging.getLogger(__name__)
class CheckCommand(Command):
"""Verify installed packages have compatible dependencies."""
ignore_require_venv = True
usage = """
%prog [options]"""
def run(self, options: Values, args: List[str]) -> int:
package_set, parsing_probs = create_package_set_from_installed()
missing, conflicting = check_package_set(package_set)
unsupported = list(
check_unsupported(
get_default_environment().iter_installed_distributions(),
get_supported(),
)
)
for project_name in missing:
version = package_set[project_name].version
for dependency in missing[project_name]:
write_output(
"%s %s requires %s, which is not installed.",
project_name,
version,
dependency[0],
)
for project_name in conflicting:
version = package_set[project_name].version
for dep_name, dep_version, req in conflicting[project_name]:
write_output(
"%s %s has requirement %s, but you have %s %s.",
project_name,
version,
req,
dep_name,
dep_version,
)
for package in unsupported:
write_output(
"%s %s is not supported on this platform",
package.raw_name,
package.version,
)
if missing or conflicting or parsing_probs or unsupported:
return ERROR
else:
write_output("No broken requirements found.")
return SUCCESS

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import sys
import textwrap
from optparse import Values
from typing import List
from pip._internal.cli.base_command import Command
from pip._internal.cli.status_codes import SUCCESS
from pip._internal.utils.misc import get_prog
BASE_COMPLETION = """
# pip {shell} completion start{script}# pip {shell} completion end
"""
COMPLETION_SCRIPTS = {
"bash": """
_pip_completion()
{{
COMPREPLY=( $( COMP_WORDS="${{COMP_WORDS[*]}}" \\
COMP_CWORD=$COMP_CWORD \\
PIP_AUTO_COMPLETE=1 $1 2>/dev/null ) )
}}
complete -o default -F _pip_completion {prog}
""",
"zsh": """
#compdef -P pip[0-9.]#
__pip() {{
compadd $( COMP_WORDS="$words[*]" \\
COMP_CWORD=$((CURRENT-1)) \\
PIP_AUTO_COMPLETE=1 $words[1] 2>/dev/null )
}}
if [[ $zsh_eval_context[-1] == loadautofunc ]]; then
# autoload from fpath, call function directly
__pip "$@"
else
# eval/source/. command, register function for later
compdef __pip -P 'pip[0-9.]#'
fi
""",
"fish": """
function __fish_complete_pip
set -lx COMP_WORDS (commandline -o) ""
set -lx COMP_CWORD ( \\
math (contains -i -- (commandline -t) $COMP_WORDS)-1 \\
)
set -lx PIP_AUTO_COMPLETE 1
string split \\ -- (eval $COMP_WORDS[1])
end
complete -fa "(__fish_complete_pip)" -c {prog}
""",
"powershell": """
if ((Test-Path Function:\\TabExpansion) -and -not `
(Test-Path Function:\\_pip_completeBackup)) {{
Rename-Item Function:\\TabExpansion _pip_completeBackup
}}
function TabExpansion($line, $lastWord) {{
$lastBlock = [regex]::Split($line, '[|;]')[-1].TrimStart()
if ($lastBlock.StartsWith("{prog} ")) {{
$Env:COMP_WORDS=$lastBlock
$Env:COMP_CWORD=$lastBlock.Split().Length - 1
$Env:PIP_AUTO_COMPLETE=1
(& {prog}).Split()
Remove-Item Env:COMP_WORDS
Remove-Item Env:COMP_CWORD
Remove-Item Env:PIP_AUTO_COMPLETE
}}
elseif (Test-Path Function:\\_pip_completeBackup) {{
# Fall back on existing tab expansion
_pip_completeBackup $line $lastWord
}}
}}
""",
}
class CompletionCommand(Command):
"""A helper command to be used for command completion."""
ignore_require_venv = True
def add_options(self) -> None:
self.cmd_opts.add_option(
"--bash",
"-b",
action="store_const",
const="bash",
dest="shell",
help="Emit completion code for bash",
)
self.cmd_opts.add_option(
"--zsh",
"-z",
action="store_const",
const="zsh",
dest="shell",
help="Emit completion code for zsh",
)
self.cmd_opts.add_option(
"--fish",
"-f",
action="store_const",
const="fish",
dest="shell",
help="Emit completion code for fish",
)
self.cmd_opts.add_option(
"--powershell",
"-p",
action="store_const",
const="powershell",
dest="shell",
help="Emit completion code for powershell",
)
self.parser.insert_option_group(0, self.cmd_opts)
def run(self, options: Values, args: List[str]) -> int:
"""Prints the completion code of the given shell"""
shells = COMPLETION_SCRIPTS.keys()
shell_options = ["--" + shell for shell in sorted(shells)]
if options.shell in shells:
script = textwrap.dedent(
COMPLETION_SCRIPTS.get(options.shell, "").format(prog=get_prog())
)
print(BASE_COMPLETION.format(script=script, shell=options.shell))
return SUCCESS
else:
sys.stderr.write(
"ERROR: You must pass {}\n".format(" or ".join(shell_options))
)
return SUCCESS

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import logging
import os
import subprocess
from optparse import Values
from typing import Any, List, Optional
from pip._internal.cli.base_command import Command
from pip._internal.cli.status_codes import ERROR, SUCCESS
from pip._internal.configuration import (
Configuration,
Kind,
get_configuration_files,
kinds,
)
from pip._internal.exceptions import PipError
from pip._internal.utils.logging import indent_log
from pip._internal.utils.misc import get_prog, write_output
logger = logging.getLogger(__name__)
class ConfigurationCommand(Command):
"""
Manage local and global configuration.
Subcommands:
- list: List the active configuration (or from the file specified)
- edit: Edit the configuration file in an editor
- get: Get the value associated with command.option
- set: Set the command.option=value
- unset: Unset the value associated with command.option
- debug: List the configuration files and values defined under them
Configuration keys should be dot separated command and option name,
with the special prefix "global" affecting any command. For example,
"pip config set global.index-url https://example.org/" would configure
the index url for all commands, but "pip config set download.timeout 10"
would configure a 10 second timeout only for "pip download" commands.
If none of --user, --global and --site are passed, a virtual
environment configuration file is used if one is active and the file
exists. Otherwise, all modifications happen to the user file by
default.
"""
ignore_require_venv = True
usage = """
%prog [<file-option>] list
%prog [<file-option>] [--editor <editor-path>] edit
%prog [<file-option>] get command.option
%prog [<file-option>] set command.option value
%prog [<file-option>] unset command.option
%prog [<file-option>] debug
"""
def add_options(self) -> None:
self.cmd_opts.add_option(
"--editor",
dest="editor",
action="store",
default=None,
help=(
"Editor to use to edit the file. Uses VISUAL or EDITOR "
"environment variables if not provided."
),
)
self.cmd_opts.add_option(
"--global",
dest="global_file",
action="store_true",
default=False,
help="Use the system-wide configuration file only",
)
self.cmd_opts.add_option(
"--user",
dest="user_file",
action="store_true",
default=False,
help="Use the user configuration file only",
)
self.cmd_opts.add_option(
"--site",
dest="site_file",
action="store_true",
default=False,
help="Use the current environment configuration file only",
)
self.parser.insert_option_group(0, self.cmd_opts)
def run(self, options: Values, args: List[str]) -> int:
handlers = {
"list": self.list_values,
"edit": self.open_in_editor,
"get": self.get_name,
"set": self.set_name_value,
"unset": self.unset_name,
"debug": self.list_config_values,
}
# Determine action
if not args or args[0] not in handlers:
logger.error(
"Need an action (%s) to perform.",
", ".join(sorted(handlers)),
)
return ERROR
action = args[0]
# Determine which configuration files are to be loaded
# Depends on whether the command is modifying.
try:
load_only = self._determine_file(
options, need_value=(action in ["get", "set", "unset", "edit"])
)
except PipError as e:
logger.error(e.args[0])
return ERROR
# Load a new configuration
self.configuration = Configuration(
isolated=options.isolated_mode, load_only=load_only
)
self.configuration.load()
# Error handling happens here, not in the action-handlers.
try:
handlers[action](options, args[1:])
except PipError as e:
logger.error(e.args[0])
return ERROR
return SUCCESS
def _determine_file(self, options: Values, need_value: bool) -> Optional[Kind]:
file_options = [
key
for key, value in (
(kinds.USER, options.user_file),
(kinds.GLOBAL, options.global_file),
(kinds.SITE, options.site_file),
)
if value
]
if not file_options:
if not need_value:
return None
# Default to user, unless there's a site file.
elif any(
os.path.exists(site_config_file)
for site_config_file in get_configuration_files()[kinds.SITE]
):
return kinds.SITE
else:
return kinds.USER
elif len(file_options) == 1:
return file_options[0]
raise PipError(
"Need exactly one file to operate upon "
"(--user, --site, --global) to perform."
)
def list_values(self, options: Values, args: List[str]) -> None:
self._get_n_args(args, "list", n=0)
for key, value in sorted(self.configuration.items()):
write_output("%s=%r", key, value)
def get_name(self, options: Values, args: List[str]) -> None:
key = self._get_n_args(args, "get [name]", n=1)
value = self.configuration.get_value(key)
write_output("%s", value)
def set_name_value(self, options: Values, args: List[str]) -> None:
key, value = self._get_n_args(args, "set [name] [value]", n=2)
self.configuration.set_value(key, value)
self._save_configuration()
def unset_name(self, options: Values, args: List[str]) -> None:
key = self._get_n_args(args, "unset [name]", n=1)
self.configuration.unset_value(key)
self._save_configuration()
def list_config_values(self, options: Values, args: List[str]) -> None:
"""List config key-value pairs across different config files"""
self._get_n_args(args, "debug", n=0)
self.print_env_var_values()
# Iterate over config files and print if they exist, and the
# key-value pairs present in them if they do
for variant, files in sorted(self.configuration.iter_config_files()):
write_output("%s:", variant)
for fname in files:
with indent_log():
file_exists = os.path.exists(fname)
write_output("%s, exists: %r", fname, file_exists)
if file_exists:
self.print_config_file_values(variant)
def print_config_file_values(self, variant: Kind) -> None:
"""Get key-value pairs from the file of a variant"""
for name, value in self.configuration.get_values_in_config(variant).items():
with indent_log():
write_output("%s: %s", name, value)
def print_env_var_values(self) -> None:
"""Get key-values pairs present as environment variables"""
write_output("%s:", "env_var")
with indent_log():
for key, value in sorted(self.configuration.get_environ_vars()):
env_var = f"PIP_{key.upper()}"
write_output("%s=%r", env_var, value)
def open_in_editor(self, options: Values, args: List[str]) -> None:
editor = self._determine_editor(options)
fname = self.configuration.get_file_to_edit()
if fname is None:
raise PipError("Could not determine appropriate file.")
elif '"' in fname:
# This shouldn't happen, unless we see a username like that.
# If that happens, we'd appreciate a pull request fixing this.
raise PipError(
f'Can not open an editor for a file name containing "\n{fname}'
)
try:
subprocess.check_call(f'{editor} "{fname}"', shell=True)
except FileNotFoundError as e:
if not e.filename:
e.filename = editor
raise
except subprocess.CalledProcessError as e:
raise PipError(f"Editor Subprocess exited with exit code {e.returncode}")
def _get_n_args(self, args: List[str], example: str, n: int) -> Any:
"""Helper to make sure the command got the right number of arguments"""
if len(args) != n:
msg = (
f"Got unexpected number of arguments, expected {n}. "
f'(example: "{get_prog()} config {example}")'
)
raise PipError(msg)
if n == 1:
return args[0]
else:
return args
def _save_configuration(self) -> None:
# We successfully ran a modifying command. Need to save the
# configuration.
try:
self.configuration.save()
except Exception:
logger.exception(
"Unable to save configuration. Please report this as a bug."
)
raise PipError("Internal Error.")
def _determine_editor(self, options: Values) -> str:
if options.editor is not None:
return options.editor
elif "VISUAL" in os.environ:
return os.environ["VISUAL"]
elif "EDITOR" in os.environ:
return os.environ["EDITOR"]
else:
raise PipError("Could not determine editor to use.")

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venv/Lib/site-packages/pip/_internal/commands/debug.py Normal file
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import locale
import logging
import os
import sys
from optparse import Values
from types import ModuleType
from typing import Any, Dict, List, Optional
import pip._vendor
from pip._vendor.certifi import where
from pip._vendor.packaging.version import parse as parse_version
from pip._internal.cli import cmdoptions
from pip._internal.cli.base_command import Command
from pip._internal.cli.cmdoptions import make_target_python
from pip._internal.cli.status_codes import SUCCESS
from pip._internal.configuration import Configuration
from pip._internal.metadata import get_environment
from pip._internal.utils.compat import open_text_resource
from pip._internal.utils.logging import indent_log
from pip._internal.utils.misc import get_pip_version
logger = logging.getLogger(__name__)
def show_value(name: str, value: Any) -> None:
logger.info("%s: %s", name, value)
def show_sys_implementation() -> None:
logger.info("sys.implementation:")
implementation_name = sys.implementation.name
with indent_log():
show_value("name", implementation_name)
def create_vendor_txt_map() -> Dict[str, str]:
with open_text_resource("pip._vendor", "vendor.txt") as f:
# Purge non version specifying lines.
# Also, remove any space prefix or suffixes (including comments).
lines = [
line.strip().split(" ", 1)[0] for line in f.readlines() if "==" in line
]
# Transform into "module" -> version dict.
return dict(line.split("==", 1) for line in lines)
def get_module_from_module_name(module_name: str) -> Optional[ModuleType]:
# Module name can be uppercase in vendor.txt for some reason...
module_name = module_name.lower().replace("-", "_")
# PATCH: setuptools is actually only pkg_resources.
if module_name == "setuptools":
module_name = "pkg_resources"
try:
__import__(f"pip._vendor.{module_name}", globals(), locals(), level=0)
return getattr(pip._vendor, module_name)
except ImportError:
# We allow 'truststore' to fail to import due
# to being unavailable on Python 3.9 and earlier.
if module_name == "truststore" and sys.version_info < (3, 10):
return None
raise
def get_vendor_version_from_module(module_name: str) -> Optional[str]:
module = get_module_from_module_name(module_name)
version = getattr(module, "__version__", None)
if module and not version:
# Try to find version in debundled module info.
assert module.__file__ is not None
env = get_environment([os.path.dirname(module.__file__)])
dist = env.get_distribution(module_name)
if dist:
version = str(dist.version)
return version
def show_actual_vendor_versions(vendor_txt_versions: Dict[str, str]) -> None:
"""Log the actual version and print extra info if there is
a conflict or if the actual version could not be imported.
"""
for module_name, expected_version in vendor_txt_versions.items():
extra_message = ""
actual_version = get_vendor_version_from_module(module_name)
if not actual_version:
extra_message = (
" (Unable to locate actual module version, using"
" vendor.txt specified version)"
)
actual_version = expected_version
elif parse_version(actual_version) != parse_version(expected_version):
extra_message = (
" (CONFLICT: vendor.txt suggests version should"
f" be {expected_version})"
)
logger.info("%s==%s%s", module_name, actual_version, extra_message)
def show_vendor_versions() -> None:
logger.info("vendored library versions:")
vendor_txt_versions = create_vendor_txt_map()
with indent_log():
show_actual_vendor_versions(vendor_txt_versions)
def show_tags(options: Values) -> None:
tag_limit = 10
target_python = make_target_python(options)
tags = target_python.get_sorted_tags()
# Display the target options that were explicitly provided.
formatted_target = target_python.format_given()
suffix = ""
if formatted_target:
suffix = f" (target: {formatted_target})"
msg = f"Compatible tags: {len(tags)}{suffix}"
logger.info(msg)
if options.verbose < 1 and len(tags) > tag_limit:
tags_limited = True
tags = tags[:tag_limit]
else:
tags_limited = False
with indent_log():
for tag in tags:
logger.info(str(tag))
if tags_limited:
msg = f"...\n[First {tag_limit} tags shown. Pass --verbose to show all.]"
logger.info(msg)
def ca_bundle_info(config: Configuration) -> str:
levels = {key.split(".", 1)[0] for key, _ in config.items()}
if not levels:
return "Not specified"
levels_that_override_global = ["install", "wheel", "download"]
global_overriding_level = [
level for level in levels if level in levels_that_override_global
]
if not global_overriding_level:
return "global"
if "global" in levels:
levels.remove("global")
return ", ".join(levels)
class DebugCommand(Command):
"""
Display debug information.
"""
usage = """
%prog <options>"""
ignore_require_venv = True
def add_options(self) -> None:
cmdoptions.add_target_python_options(self.cmd_opts)
self.parser.insert_option_group(0, self.cmd_opts)
self.parser.config.load()
def run(self, options: Values, args: List[str]) -> int:
logger.warning(
"This command is only meant for debugging. "
"Do not use this with automation for parsing and getting these "
"details, since the output and options of this command may "
"change without notice."
)
show_value("pip version", get_pip_version())
show_value("sys.version", sys.version)
show_value("sys.executable", sys.executable)
show_value("sys.getdefaultencoding", sys.getdefaultencoding())
show_value("sys.getfilesystemencoding", sys.getfilesystemencoding())
show_value(
"locale.getpreferredencoding",
locale.getpreferredencoding(),
)
show_value("sys.platform", sys.platform)
show_sys_implementation()
show_value("'cert' config value", ca_bundle_info(self.parser.config))
show_value("REQUESTS_CA_BUNDLE", os.environ.get("REQUESTS_CA_BUNDLE"))
show_value("CURL_CA_BUNDLE", os.environ.get("CURL_CA_BUNDLE"))
show_value("pip._vendor.certifi.where()", where())
show_value("pip._vendor.DEBUNDLED", pip._vendor.DEBUNDLED)
show_vendor_versions()
show_tags(options)
return SUCCESS

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venv/Lib/site-packages/pip/_internal/commands/download.py Normal file
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import logging
import os
from optparse import Values
from typing import List
from pip._internal.cli import cmdoptions
from pip._internal.cli.cmdoptions import make_target_python
from pip._internal.cli.req_command import RequirementCommand, with_cleanup
from pip._internal.cli.status_codes import SUCCESS
from pip._internal.operations.build.build_tracker import get_build_tracker
from pip._internal.req.req_install import check_legacy_setup_py_options
from pip._internal.utils.misc import ensure_dir, normalize_path, write_output
from pip._internal.utils.temp_dir import TempDirectory
logger = logging.getLogger(__name__)
class DownloadCommand(RequirementCommand):
"""
Download packages from:
- PyPI (and other indexes) using requirement specifiers.
- VCS project urls.
- Local project directories.
- Local or remote source archives.
pip also supports downloading from "requirements files", which provide
an easy way to specify a whole environment to be downloaded.
"""
usage = """
%prog [options] <requirement specifier> [package-index-options] ...
%prog [options] -r <requirements file> [package-index-options] ...
%prog [options] <vcs project url> ...
%prog [options] <local project path> ...
%prog [options] <archive url/path> ..."""
def add_options(self) -> None:
self.cmd_opts.add_option(cmdoptions.constraints())
self.cmd_opts.add_option(cmdoptions.requirements())
self.cmd_opts.add_option(cmdoptions.no_deps())
self.cmd_opts.add_option(cmdoptions.global_options())
self.cmd_opts.add_option(cmdoptions.no_binary())
self.cmd_opts.add_option(cmdoptions.only_binary())
self.cmd_opts.add_option(cmdoptions.prefer_binary())
self.cmd_opts.add_option(cmdoptions.src())
self.cmd_opts.add_option(cmdoptions.pre())
self.cmd_opts.add_option(cmdoptions.require_hashes())
self.cmd_opts.add_option(cmdoptions.progress_bar())
self.cmd_opts.add_option(cmdoptions.no_build_isolation())
self.cmd_opts.add_option(cmdoptions.use_pep517())
self.cmd_opts.add_option(cmdoptions.no_use_pep517())
self.cmd_opts.add_option(cmdoptions.check_build_deps())
self.cmd_opts.add_option(cmdoptions.ignore_requires_python())
self.cmd_opts.add_option(
"-d",
"--dest",
"--destination-dir",
"--destination-directory",
dest="download_dir",
metavar="dir",
default=os.curdir,
help="Download packages into <dir>.",
)
cmdoptions.add_target_python_options(self.cmd_opts)
index_opts = cmdoptions.make_option_group(
cmdoptions.index_group,
self.parser,
)
self.parser.insert_option_group(0, index_opts)
self.parser.insert_option_group(0, self.cmd_opts)
@with_cleanup
def run(self, options: Values, args: List[str]) -> int:
options.ignore_installed = True
# editable doesn't really make sense for `pip download`, but the bowels
# of the RequirementSet code require that property.
options.editables = []
cmdoptions.check_dist_restriction(options)
options.download_dir = normalize_path(options.download_dir)
ensure_dir(options.download_dir)
session = self.get_default_session(options)
target_python = make_target_python(options)
finder = self._build_package_finder(
options=options,
session=session,
target_python=target_python,
ignore_requires_python=options.ignore_requires_python,
)
build_tracker = self.enter_context(get_build_tracker())
directory = TempDirectory(
delete=not options.no_clean,
kind="download",
globally_managed=True,
)
reqs = self.get_requirements(args, options, finder, session)
check_legacy_setup_py_options(options, reqs)
preparer = self.make_requirement_preparer(
temp_build_dir=directory,
options=options,
build_tracker=build_tracker,
session=session,
finder=finder,
download_dir=options.download_dir,
use_user_site=False,
verbosity=self.verbosity,
)
resolver = self.make_resolver(
preparer=preparer,
finder=finder,
options=options,
ignore_requires_python=options.ignore_requires_python,
use_pep517=options.use_pep517,
py_version_info=options.python_version,
)
self.trace_basic_info(finder)
requirement_set = resolver.resolve(reqs, check_supported_wheels=True)
downloaded: List[str] = []
for req in requirement_set.requirements.values():
if req.satisfied_by is None:
assert req.name is not None
preparer.save_linked_requirement(req)
downloaded.append(req.name)
preparer.prepare_linked_requirements_more(requirement_set.requirements.values())
if downloaded:
write_output("Successfully downloaded %s", " ".join(downloaded))
return SUCCESS

109
venv/Lib/site-packages/pip/_internal/commands/freeze.py Normal file
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import sys
from optparse import Values
from typing import AbstractSet, List
from pip._internal.cli import cmdoptions
from pip._internal.cli.base_command import Command
from pip._internal.cli.status_codes import SUCCESS
from pip._internal.operations.freeze import freeze
from pip._internal.utils.compat import stdlib_pkgs
def _should_suppress_build_backends() -> bool:
return sys.version_info < (3, 12)
def _dev_pkgs() -> AbstractSet[str]:
pkgs = {"pip"}
if _should_suppress_build_backends():
pkgs |= {"setuptools", "distribute", "wheel"}
return pkgs
class FreezeCommand(Command):
"""
Output installed packages in requirements format.
packages are listed in a case-insensitive sorted order.
"""
ignore_require_venv = True
usage = """
%prog [options]"""
log_streams = ("ext://sys.stderr", "ext://sys.stderr")
def add_options(self) -> None:
self.cmd_opts.add_option(
"-r",
"--requirement",
dest="requirements",
action="append",
default=[],
metavar="file",
help=(
"Use the order in the given requirements file and its "
"comments when generating output. This option can be "
"used multiple times."
),
)
self.cmd_opts.add_option(
"-l",
"--local",
dest="local",
action="store_true",
default=False,
help=(
"If in a virtualenv that has global access, do not output "
"globally-installed packages."
),
)
self.cmd_opts.add_option(
"--user",
dest="user",
action="store_true",
default=False,
help="Only output packages installed in user-site.",
)
self.cmd_opts.add_option(cmdoptions.list_path())
self.cmd_opts.add_option(
"--all",
dest="freeze_all",
action="store_true",
help=(
"Do not skip these packages in the output:"
" {}".format(", ".join(_dev_pkgs()))
),
)
self.cmd_opts.add_option(
"--exclude-editable",
dest="exclude_editable",
action="store_true",
help="Exclude editable package from output.",
)
self.cmd_opts.add_option(cmdoptions.list_exclude())
self.parser.insert_option_group(0, self.cmd_opts)
def run(self, options: Values, args: List[str]) -> int:
skip = set(stdlib_pkgs)
if not options.freeze_all:
skip.update(_dev_pkgs())
if options.excludes:
skip.update(options.excludes)
cmdoptions.check_list_path_option(options)
for line in freeze(
requirement=options.requirements,
local_only=options.local,
user_only=options.user,
paths=options.path,
isolated=options.isolated_mode,
skip=skip,
exclude_editable=options.exclude_editable,
):
sys.stdout.write(line + "\n")
return SUCCESS

59
venv/Lib/site-packages/pip/_internal/commands/hash.py Normal file
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@ -0,0 +1,59 @@
import hashlib
import logging
import sys
from optparse import Values
from typing import List
from pip._internal.cli.base_command import Command
from pip._internal.cli.status_codes import ERROR, SUCCESS
from pip._internal.utils.hashes import FAVORITE_HASH, STRONG_HASHES
from pip._internal.utils.misc import read_chunks, write_output
logger = logging.getLogger(__name__)
class HashCommand(Command):
"""
Compute a hash of a local package archive.
These can be used with --hash in a requirements file to do repeatable
installs.
"""
usage = "%prog [options] <file> ..."
ignore_require_venv = True
def add_options(self) -> None:
self.cmd_opts.add_option(
"-a",
"--algorithm",
dest="algorithm",
choices=STRONG_HASHES,
action="store",
default=FAVORITE_HASH,
help="The hash algorithm to use: one of {}".format(
", ".join(STRONG_HASHES)
),
)
self.parser.insert_option_group(0, self.cmd_opts)
def run(self, options: Values, args: List[str]) -> int:
if not args:
self.parser.print_usage(sys.stderr)
return ERROR
algorithm = options.algorithm
for path in args:
write_output(
"%s:\n--hash=%s:%s", path, algorithm, _hash_of_file(path, algorithm)
)
return SUCCESS
def _hash_of_file(path: str, algorithm: str) -> str:
"""Return the hash digest of a file."""
with open(path, "rb") as archive:
hash = hashlib.new(algorithm)
for chunk in read_chunks(archive):
hash.update(chunk)
return hash.hexdigest()

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