下载时出现using cached如何解决

最新推荐文章于 2024-02-29 14:25:43 发布
转载 最新推荐文章于 2024-02-29 14:25:43 发布 · 4.4k 阅读 · 5 ·
CC 4.0 BY-SA版权
原文链接：http://www.cnblogs.com/1a2a/p/9253596.html
文章标签：

#python #开发工具

本文介绍了一种使用pip3命令安装xlsxwriter Python模块的方法，通过添加--no-cache-dir参数来确保安装过程不使用缓存。

摘要生成于 C知道 ，由 DeepSeek-R1 满血版支持， 前往体验 >

pip3 --no-cache-dir install xlsxwriter

这样就可以了

转载于:https://www.cnblogs.com/1a2a/p/9253596.html

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原文链接：docker build高效利用cache 前言 Dockerfile 可以通过docker build命令构建为一个新的镜像，Dockerfile 中每一条命令都会构建出一个新的镜像层。当你重新build相同的Docker时，Docker会逐条语句check自身的cache镜像层，如果命中相同的，就使用cache而不执行这条语句继续往下逐条check直至build完成。Docker...
pip安装过程中出现Using cached
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正在使用之前下载的包的缓存版本，而不是从指定的索引URL重新下载包。不使用缓存，而是重新从指定的URL下载包。这可能会使安装过程变慢，尤其是对于像PyTorch这样大型的包。就会直接使用这个缓存的文件进行安装，而不会从PyPI或其他配置的额外索引URL下载。会检查本地缓存目录看是否已经存在你想要安装的包的下载文件。如果存在，并且与你请求安装的版本匹配，这些包的缓存版本已经存在于你的系统中，因此。直接使用了这些缓存的版本进行安装，而没有从。这个额外的索引URL下载新的包。安装Python包时，
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可以参看这个博客 https://stackoverflow.com/questions/9510474/removing-pips-cache
TMS320C64x+ DSP------Using Cache
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一、配置cache>配置L1 Cache：     CACHE_L1pSetSize();                           CACHE_L1dSetSize(); >配置L2 cache：    启动时默认状态下L2 cache被disabled, 全部L2为SRAM。如果启用了DSP/BIOS，则L2 cache被自动使能；否则，可以通过调用CSL命令：CACHE_L2SetSize()来使能L2 cache。>外部内存的cacheability                    
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pip/conda 安装包出问题：Using cached ......
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参考：https://blog.youkuaiyun.com/zys351148/article/details/80916717 向大神致敬！！！ 如果不使用缓存则删除pip目录下的cache下的文件就行
使用pip install 命令时，提示 Using cached解决方案
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PS C:\Users\rHotD\Documents\GitHub> pip install -r .\requirements.txt Collecting asn1crypto==0.22.0 (from -r .\requirements.txt (line 1)) Using cached asn1crypto-0.22.0-py2.py3-none-any.whl Collectin
PS C:\jichuang\Project\pythonProject> pip install deepface Collecting deepface Using cached deepface-0.0.93-py3-none-any.whl.metadata (30 kB) Collecting requests>=2.27.1 (from deepface) Using cached requests-2.32.4-py3-none-any.whl.metadata (4.9 kB) Requirement already satisfied: numpy>=1.14.0 in c:\users\zzysg\appdata\local\programs\python\python313\lib\site-packages (from deepface) (2.3.1) Requirement already satisfied: pandas>=0.23.4 in c:\users\zzysg\appdata\local\programs\python\python313\lib\site-packages (from deepface) (2.3.0) Collecting gdown>=3.10.1 (from deepface) Using cached gdown-5.2.0-py3-none-any.whl.metadata (5.8 kB) Collecting tqdm>=4.30.0 (from deepface) Using cached tqdm-4.67.1-py3-none-any.whl.metadata (57 kB) Requirement already satisfied: Pillow>=5.2.0 in c:\users\zzysg\appdata\local\programs\python\python313\lib\site-packages (from deepface) (11.3.0) Requirement already satisfied: opencv-python>=4.5.5.64 in c:\users\zzysg\appdata\local\programs\python\python313\lib\site-packages (from deepface) (4.11.0.86) INFO: pip is looking at multiple versions of deepface to determine which version is compatible with other requirements. This could take a while. Collecting deepface Using cached deepface-0.0.92-py3-none-any.whl.metadata (27 kB) Using cached deepface-0.0.91-py3-none-any.whl.metadata (26 kB) Using cached deepface-0.0.90-py3-none-any.whl.metadata (26 kB) Using cached deepface-0.0.89-py3-none-any.whl.metadata (26 kB) Using cached deepface-0.0.88-py3-none-any.whl.metadata (26 kB) Using cached deepface-0.0.87-py3-none-any.whl.metadata (26 kB) Using cached deepface-0.0.86-py3-none-any.whl.metadata (24 kB) INFO: pip is still looking at multiple versions of deepface to determine which version is compatible with other requirements. This could take a while. Using cached deepface-0.0.85-py3-none-any.whl.metadata (24 kB) Using cached deepface-0.0.84-py3-none-any.whl.metadata (24 kB) Using cached deepface-0.0.83-py3-none-any.whl.metadata (24 kB) Using cached deepface-0.0.82-py3-none-any.whl.metadata (24 kB) Using cached deepface-0.0.81-py3-none-any.whl.metadata (24 kB) INFO: This is taking longer than usual. You might need to provide the dependency resolver with stricter constraints to reduce runtime. See https://pip.pypa.io/warnings/backtracking for guidance. If you want to abort this run, press Ctrl + C. Using cached deepface-0.0.80-py3-none-any.whl.metadata (24 kB) Using cached deepface-0.0.79-py3-none-any.whl.metadata (26 kB) Using cached deepface-0.0.78-py3-none-any.whl.metadata (24 kB) Using cached deepface-0.0.75-py3-none-any.whl.metadata (19 kB) Using cached deepface-0.0.74-py3-none-any.whl.metadata (19 kB) Using cached deepface-0.0.73-py3-none-any.whl.metadata (19 kB) Using cached deepface-0.0.72-py3-none-any.whl.metadata (19 kB) Using cached deepface-0.0.71-py3-none-any.whl.metadata (19 kB) Using cached deepface-0.0.70-py3-none-any.whl.metadata (18 kB) Using cached deepface-0.0.69-py3-none-any.whl.metadata (18 kB) Using cached deepface-0.0.68-py3-none-any.whl.metadata (16 kB) Using cached deepface-0.0.67-py3-none-any.whl.metadata (16 kB) Using cached deepface-0.0.66-py3-none-any.whl.metadata (16 kB) Using cached deepface-0.0.65-py3-none-any.whl.metadata (16 kB) Using cached deepface-0.0.64-py3-none-any.whl.metadata (16 kB) Using cached deepface-0.0.63-py3-none-any.whl.metadata (19 kB) Using cached deepface-0.0.62-py3-none-any.whl.metadata (20 kB) Using cached deepface-0.0.61-py3-none-any.whl.metadata (20 kB) Using cached deepface-0.0.60-py3-none-any.whl.metadata (20 kB) Using cached deepface-0.0.59-py3-none-any.whl.metadata (20 kB) Using cached deepface-0.0.58-py3-none-any.whl.metadata (21 kB) Using cached deepface-0.0.57-py3-none-any.whl.metadata (21 kB) Using cached deepface-0.0.56-py3-none-any.whl.metadata (20 kB) Using cached deepface-0.0.55-py3-none-any.whl.metadata (20 kB) Using cached deepface-0.0.54-py3-none-any.whl.metadata (20 kB) Using cached deepface-0.0.53-py3-none-any.whl.metadata (20 kB) Using cached deepface-0.0.52-py3-none-any.whl.metadata (20 kB) Using cached deepface-0.0.51-py3-none-any.whl.metadata (21 kB) Using cached deepface-0.0.50-py3-none-any.whl.metadata (21 kB) Using cached deepface-0.0.49-py3-none-any.whl.metadata (17 kB) Using cached deepface-0.0.48-py3-none-any.whl.metadata (17 kB) Using cached deepface-0.0.47-py3-none-any.whl.metadata (16 kB) Using cached deepface-0.0.46-py3-none-any.whl.metadata (16 kB) Using cached deepface-0.0.45-py3-none-any.whl.metadata (16 kB) Using cached deepface-0.0.44-py3-none-any.whl.metadata (16 kB) Using cached deepface-0.0.43-py3-none-any.whl.metadata (16 kB) Using cached deepface-0.0.41-py3-none-any.whl.metadata (15 kB) Using cached deepface-0.0.40-py3-none-any.whl.metadata (15 kB) Using cached deepface-0.0.39-py3-none-any.whl.metadata (15 kB) Using cached deepface-0.0.38-py3-none-any.whl.metadata (15 kB) Using cached deepface-0.0.37-py3-none-any.whl.metadata (15 kB) Using cached deepface-0.0.36-py3-none-any.whl.metadata (15 kB) Using cached deepface-0.0.35-py3-none-any.whl.metadata (14 kB) Using cached deepface-0.0.34-py3-none-any.whl.metadata (13 kB) Using cached deepface-0.0.33-py3-none-any.whl.metadata (13 kB) Using cached deepface-0.0.32-py3-none-any.whl.metadata (13 kB) Using cached deepface-0.0.31-py3-none-any.whl.metadata (13 kB) Using cached deepface-0.0.30-py3-none-any.whl.metadata (13 kB) Using cached deepface-0.0.26-py3-none-any.whl.metadata (15 kB) Using cached deepface-0.0.25-py3-none-any.whl.metadata (15 kB) Using cached deepface-0.0.24-py3-none-any.whl.metadata (13 kB) Using cached deepface-0.0.23-py3-none-any.whl.metadata (13 kB) Using cached deepface-0.0.22-py3-none-any.whl.metadata (12 kB) Using cached deepface-0.0.21-py3-none-any.whl.metadata (12 kB) Using cached deepface-0.0.20-py3-none-any.whl.metadata (10 kB) Using cached deepface-0.0.19-py3-none-any.whl.metadata (10 kB) Using cached deepface-0.0.18-py3-none-any.whl.metadata (9.6 kB) Using cached deepface-0.0.16-py3-none-any.whl.metadata (9.6 kB) Using cached deepface-0.0.15-py3-none-any.whl.metadata (9.7 kB) Using cached deepface-0.0.14-py3-none-any.whl.metadata (9.7 kB) Requirement already satisfied: matplotlib>=2.2.2 in c:\users\zzysg\appdata\local\programs\python\python313\lib\site-packages (from deepface) (3.10.3) Using cached deepface-0.0.13-py3-none-any.whl.metadata (9.7 kB) Using cached deepface-0.0.12-py3-none-any.whl.metadata (9.2 kB) Using cached deepface-0.0.11-py3-none-any.whl.metadata (9.2 kB) Using cached deepface-0.0.10-py3-none-any.whl.metadata (9.2 kB) Using cached deepface-0.0.9-py3-none-any.whl.metadata (8.6 kB) Using cached deepface-0.0.7-py3-none-any.whl.metadata (8.3 kB) Using cached deepface-0.0.6-py3-none-any.whl.metadata (7.9 kB) Using cached deepface-0.0.5-py3-none-any.whl.metadata (8.3 kB) Using cached deepface-0.0.4-py3-none-any.whl.metadata (8.1 kB) Using cached deepface-0.0.3-py3-none-any.whl.metadata (8.1 kB) Using cached deepface-0.0.2-py3-none-any.whl.metadata (8.0 kB) Using cached deepface-0.0.1-py3-none-any.whl.metadata (4.4 kB) ERROR: Cannot install deepface==0.0.1, deepface==0.0.10, deepface==0.0.11, deepface==0.0.12, deepface==0.0.13, deepface==0.0.14, deepface==0.0.15, d eepface==0.0.16, deepface==0.0.18, deepface==0.0.19, deepface==0.0.2, deepface==0.0.20, deepface==0.0.21, deepface==0.0.22, deepface==0.0.23, deepfa ce==0.0.24, deepface==0.0.25, deepface==0.0.26, deepface==0.0.3, deepface==0.0.30, deepface==0.0.31, deepface==0.0.32, deepface==0.0.33, deepface==0 .0.34, deepface==0.0.35, deepface==0.0.36, deepface==0.0.37, deepface==0.0.38, deepface==0.0.39, deepface==0.0.4, deepface==0.0.40, deepface==0.0.41 , deepface==0.0.43, deepface==0.0.44, deepface==0.0.45, deepface==0.0.46, deepface==0.0.47, deepface==0.0.48, deepface==0.0.49, deepface==0.0.5, dee pface==0.0.50, deepface==0.0.51, deepface==0.0.52, deepface==0.0.53, deepface==0.0.54, deepface==0.0.55, deepface==0.0.56, deepface==0.0.57, deepfac e==0.0.58, deepface==0.0.59, deepface==0.0.6, deepface==0.0.60, deepface==0.0.61, deepface==0.0.62, deepface==0.0.63, deepface==0.0.64, deepface==0. 0.65, deepface==0.0.66, deepface==0.0.67, deepface==0.0.68, deepface==0.0.69, deepface==0.0.7, deepface==0.0.70, deepface==0.0.71, deepface==0.0.72, deepface==0.0.73, deepface==0.0.74, deepface==0.0.75, deepface==0.0.78, deepface==0.0.79, deepface==0.0.80, deepface==0.0.81, deepface==0.0.82, dee pface==0.0.83, deepface==0.0.84, deepface==0.0.85, deepface==0.0.86, deepface==0.0.87, deepface==0.0.88, deepface==0.0.89, deepface==0.0.9, deepface==0.0.90, deepface==0.0.91, deepface==0.0.92 and deepface==0.0.93 because these package versions have conflicting dependencies. The conflict is caused by: deepface 0.0.93 depends on tensorflow>=1.9.0 deepface 0.0.92 depends on tensorflow>=1.9.0 deepface 0.0.91 depends on tensorflow>=1.9.0 deepface 0.0.90 depends on tensorflow>=1.9.0 deepface 0.0.89 depends on tensorflow>=1.9.0 deepface 0.0.88 depends on tensorflow>=1.9.0 deepface 0.0.87 depends on tensorflow>=1.9.0 deepface 0.0.86 depends on tensorflow>=1.9.0 deepface 0.0.85 depends on tensorflow>=1.9.0 deepface 0.0.84 depends on tensorflow>=1.9.0 deepface 0.0.83 depends on tensorflow>=1.9.0 deepface 0.0.82 depends on tensorflow>=1.9.0 deepface 0.0.81 depends on tensorflow>=1.9.0 deepface 0.0.80 depends on tensorflow>=1.9.0 deepface 0.0.79 depends on tensorflow>=1.9.0 deepface 0.0.78 depends on tensorflow>=1.9.0 deepface 0.0.75 depends on tensorflow>=1.9.0 deepface 0.0.74 depends on tensorflow>=1.9.0 deepface 0.0.73 depends on tensorflow>=1.9.0 deepface 0.0.72 depends on tensorflow>=1.9.0 deepface 0.0.71 depends on tensorflow>=1.9.0 deepface 0.0.70 depends on tensorflow>=1.9.0 deepface 0.0.69 depends on tensorflow>=1.9.0 deepface 0.0.68 depends on tensorflow>=1.9.0 deepface 0.0.67 depends on tensorflow>=1.9.0 deepface 0.0.66 depends on tensorflow>=1.9.0 deepface 0.0.65 depends on tensorflow>=1.9.0 deepface 0.0.64 depends on tensorflow>=1.9.0 deepface 0.0.63 depends on tensorflow>=1.9.0 deepface 0.0.62 depends on tensorflow>=1.9.0 deepface 0.0.61 depends on tensorflow>=1.9.0 deepface 0.0.60 depends on tensorflow>=1.9.0 deepface 0.0.59 depends on tensorflow>=1.9.0 deepface 0.0.58 depends on tensorflow>=1.9.0 deepface 0.0.57 depends on tensorflow>=1.9.0 deepface 0.0.56 depends on tensorflow>=1.9.0 deepface 0.0.55 depends on tensorflow>=1.9.0 deepface 0.0.54 depends on tensorflow>=1.9.0 deepface 0.0.53 depends on tensorflow>=1.9.0 deepface 0.0.52 depends on tensorflow>=1.9.0 deepface 0.0.51 depends on tensorflow>=1.9.0 deepface 0.0.50 depends on tensorflow>=1.9.0 deepface 0.0.49 depends on tensorflow>=1.9.0 deepface 0.0.48 depends on tensorflow>=1.9.0 deepface 0.0.47 depends on tensorflow>=1.9.0 deepface 0.0.46 depends on tensorflow>=1.9.0 deepface 0.0.45 depends on tensorflow>=1.9.0 deepface 0.0.44 depends on tensorflow>=1.9.0 deepface 0.0.43 depends on tensorflow>=1.9.0 deepface 0.0.41 depends on tensorflow>=1.9.0 deepface 0.0.40 depends on tensorflow>=1.9.0 deepface 0.0.39 depends on tensorflow>=1.9.0 deepface 0.0.38 depends on tensorflow>=1.9.0 deepface 0.0.37 depends on tensorflow>=1.9.0 deepface 0.0.36 depends on tensorflow>=1.9.0 deepface 0.0.35 depends on tensorflow>=1.9.0 deepface 0.0.34 depends on tensorflow>=1.9.0 deepface 0.0.33 depends on tensorflow>=1.9.0 deepface 0.0.32 depends on tensorflow>=1.9.0 deepface 0.0.31 depends on tensorflow>=1.9.0 deepface 0.0.30 depends on tensorflow>=1.9.0 deepface 0.0.26 depends on tensorflow>=1.9.0 deepface 0.0.25 depends on tensorflow>=1.9.0 deepface 0.0.24 depends on tensorflow>=1.9.0 deepface 0.0.23 depends on tensorflow>=1.9.0 deepface 0.0.22 depends on tensorflow>=1.9.0 deepface 0.0.21 depends on tensorflow>=1.9.0 deepface 0.0.20 depends on tensorflow>=1.9.0 deepface 0.0.19 depends on tensorflow>=1.9.0 deepface 0.0.18 depends on tensorflow>=1.9.0 deepface 0.0.16 depends on tensorflow>=1.9.0 deepface 0.0.15 depends on tensorflow>=1.9.0 deepface 0.0.14 depends on tensorflow>=1.9.0 deepface 0.0.13 depends on tensorflow>=1.9.0 deepface 0.0.12 depends on tensorflow>=1.9.0 deepface 0.0.11 depends on tensorflow>=1.9.0 deepface 0.0.10 depends on tensorflow>=1.9.0 deepface 0.0.9 depends on tensorflow>=1.9.0 deepface 0.0.7 depends on tensorflow>=1.9.0 deepface 0.0.6 depends on tensorflow>=1.9.0 deepface 0.0.5 depends on tensorflow>=1.9.0 deepface 0.0.4 depends on tensorflow>=1.9.0 deepface 0.0.3 depends on tensorflow>=1.9.0 deepface 0.0.2 depends on tensorflow>=1.9.0 deepface 0.0.1 depends on tensorflow>=1.9.0 To fix this you could try to: 1. loosen the range of package versions you've specified 2. remove package versions to allow pip to attempt to solve the dependency conflict ERROR: ResolutionImpossible: for help visit https://pip.pypa.io/en/latest/topics/dependency-resolution/#dealing-with-dependency-conflicts 此时我应该怎么在终端输入指令
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Vivado 中IP status显示"Using cached IP results"，如图1所示，该情况多出现在直接复制IP核文件到工程目录中时出现，可改可不改； 图1 若要将状态改回成“synth_design Complete”，可进行如下操作： 1.清空IP缓存区数据：在Tcl Console窗口中输入“config_ip_ca...
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DayDayUp
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笔者在学习cache时总结了一些在软件层面充分利用cache，来写出高性能代码方法。 如何利用好cache写出高性能的C代码 一，当线性访问数据（需要遍历数据结构）时，使用数组（arrays）而不是链表（Linked lists） 二，经常使用的变量应该放在一起声明定义，(Variables you access often together should be close to one-another in memory) 三，内存对齐：优化访问结构体或者类数组 四，高效地访问矩阵（二维数组）Access
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wkonghua的博客
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lckj2009的专栏
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看看这个pip，应该是torch这个组件没有安装吧。网上的答案有很多种，有人说是setuptools的问题，甚至有人说是numpy的问题，还有不少人说是pip源的问题。WINDOWS系统一般是不会出这个错误的。按照网上的这些做法，这个错误是不会消失的。之后再 pip install basicsr==1.4.2。相信最近大家在做一些东西的时候，要用到basicsr插件（pip安装），在某些ubuntu机子上面。pip install basicsr==1.4.2是安装失败的。慢慢分析解决问题是一种思路。
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黑客三遍猪
09-27 2万+
Verilog语法检查能力差 变量声明必须在处理之前，否则，vivado不报错，直接把process reg a部分优化掉，所以建议所以变量都声明在文件顶部， always @(...) begin process reg a end reg a; axi stream data fifo 如果你不在block design中使用这个IP，那么GUI中设置的DATA宽度不会适配到生成的ver...
Python 入坑之路软件安装(二)
欢迎来到我的技术分享博客！这里将带你深入了解AI技术、Java架构设计、系统开发与优化等前沿技术内容。我专注于从实战经验
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Python 学习(二) Python 开发环境配置 安装 requests 请求库，windows使用管理员打开cmd命令窗口，执行命令 C:\WINDOWS\system32&gt;pip3 install requests Collecting requests Using cached https://files.pythonhosted.org/packages/f1/ca/10...
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