如题，我用的是中转，就是输出一个命令下一个就报这个错误了。一直解决不了，有人知道是怎么解决吗 1 个帖子 - 1 位参与者 阅读完整话题
IT之家 4 月 18 日消息，消息源 Canon Rumors 前天发文称，佳能可能会为 EOS R7 Mark II 无反相机引入 DIGIC Accelerator Lite 精简版处理器。 据报道，佳能已经在 EOS R1 和 R5 Mark II 相机中使用过 DIGIC Accelerator 处理器，用于提升相机的数据处理能力。该芯片可与高速背照式 / 堆栈式传感器配合，带来更快的电子快门速度、自动对焦性能， 大幅降低果冻效应 ， 还可以同时记录照片和视频 。 IT之家注意到，EOS R6 Mark III 并没有搭载这枚处理器，原因可能不只是成本问题，也与该机采用前照式 CMOS 有关，读取速度明显慢于高端机型。 目前已有传闻称，佳能 EOS R7 Mark II 将成为首款搭载背照式堆栈传感器的 APS-C 画幅 EOS-R 相机。如果相关消息属实，那么更高的读出速度需要搭配更强的处理器。 值得注意的是，佳能的 DIGIC X 处理器本身就有不同版本，例如 R1、R5 Mark II 等高端机型搭载满血版处理器，性能明显优于 R6 Mark III 和 R8 等中端机型。 不过，佳能显然没有必要去刻意限制 R7 Mark II 的性能，APS-C 和全画幅之间本来就已经形成明显的定位区别。
new_api_panic: Panic detected, error: runtime error: invalid memory address or nil pointer dereference. Please submit a issue here: GitHub - QuantumNous/new-api: A unified AI model hub for aggregation & distribution. It supports cross-converting various LLMs into OpenAI-compatible, Claude-compatible, or Gemini-compatible formats. A centralized gateway for personal and enterprise model management. 🍥 · GitHub | Upstream: {“error”:{“message”:“Panic detected, error: runtime error: invalid memory address or nil pointer dereference. Please submit a issue here: https://github.com/Calcium-Ion/new-api",“type”:"new_api_panic ”}} 2 个帖子 - 2 位参与者 阅读完整话题
大家最近有使用gemini for mac吗？为什么登录Google 账号授权成功后 App无任何反应？ 3 个帖子 - 2 位参与者 阅读完整话题
一次只能删除50个，人麻了，求大佬分享方法， 2 个帖子 - 2 位参与者 阅读完整话题
除cursor外，还有哪些好用的IDE AI编程工具？ 1、列3-5个，排个序？ 2、这里不含cc和codex的cli。 11 个帖子 - 9 位参与者 阅读完整话题
报错如下： ERROR conda.core.link:_execute(1031): An error occurred while installing package 'defaults::anaconda_powershell_prompt-1.1.0-haa95532_1'. 排查了好一会，尝试各种方案。 最后发现原因： Conda安装程序与系统中的Autorun项发生了冲突。 解决方案： 删除windows 注册表中 \HKEY_CURRENT_USER\SOFTWARE\Microsoft\Command Processor\AutoRun。如果怕删除引起别的问题，可以直接做一个backup，将其重命名为\HKEY_CURRENT_USER\SOFTWARE\Microsoft\Command Processor\AutoRun_Backup，可以找回。 参考 github.com/conda/conda Miniconda install fails: post-link script failed (defaults::anaconda_powershell_prompt-1.1.0-haa95532_0) 已打开 09:12PM - 27 Nov 24 UTC 已关闭 06:52PM - 28 Nov 24 UTC ipiriyan2002 type::bug locked ### Checklist - [x] I added a descriptive title - [x] I searched open reports a … nd couldn't find a duplicate ### What happened? I have been using Anaconda for a long time but wanted to change to miniconda to save space and given that I know what packages I want. However when I try to install miniconda latest version, I encounter the following issue. I then tried older versions and they threw the same issue, including reinstalling Anaconda. `Platform: Windows 11` ```powershell Output folder: C:\Users\ipiri\miniconda3\Lib Extract: _nsis.py Extract: _system_path.py Output folder: C:\Users\ipiri\miniconda3\conda-meta Extract: history Output folder: C:\Users\ipiri\miniconda3 Extract: _conda.exe Extract: pre_uninstall.bat Output folder: C:\Users\ipiri\miniconda3 Output folder: C:\Users\ipiri\miniconda3\pkgs Extract: urls Extract: urls.txt Extract: post_install.bat Output folder: C:\Users\ipiri\miniconda3\pkgs\cache Extract: 3e39a7aa.json Extract: 4ea078d6.json Extract: 59ba4880.json Extract: 5ca77eed.json Extract: 920c960f.json Extract: c4a505b4.json Output folder: C:\Users\ipiri\miniconda3\pkgs Output folder: C:\Users\ipiri\miniconda3\pkgs\anaconda-anon-usage-0.4.4-py312hfc23b7f_100\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\anaconda_powershell_prompt-1.1.0-haa95532_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\anaconda_prompt-1.1.0-haa95532_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\archspec-0.2.3-pyhd3eb1b0_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\boltons-23.0.0-py312haa95532_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\brotli-python-1.0.9-py312hd77b12b_8\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\bzip2-1.0.8-h2bbff1b_6\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\ca-certificates-2024.9.24-haa95532_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\certifi-2024.8.30-py312haa95532_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\cffi-1.17.1-py312h827c3e9_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\charset-normalizer-3.3.2-pyhd3eb1b0_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\colorama-0.4.6-py312haa95532_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\conda-24.9.2-py312haa95532_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\conda-content-trust-0.2.0-py312haa95532_1\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\conda-libmamba-solver-24.9.0-pyhd3eb1b0_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\conda-package-handling-2.3.0-py312haa95532_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\conda-package-streaming-0.10.0-py312haa95532_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\cryptography-43.0.0-py312h89fc84f_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\distro-1.9.0-py312haa95532_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\expat-2.6.3-h5da7b33_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\fmt-9.1.0-h6d14046_1\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\frozendict-2.4.2-py312haa95532_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\idna-3.7-py312haa95532_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\jsonpatch-1.33-py312haa95532_1\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\jsonpointer-2.1-pyhd3eb1b0_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\libarchive-3.7.4-h9243413_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\libcurl-8.9.1-h0416ee5_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\libffi-3.4.4-hd77b12b_1\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\libiconv-1.16-h2bbff1b_3\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\libmamba-1.5.8-h99b1521_3\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\libmambapy-1.5.8-py312h77c03ed_3\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\libsolv-0.7.24-h23ce68f_1\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\libssh2-1.11.0-h291bd65_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\libxml2-2.13.1-h24da03e_2\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\lz4-c-1.9.4-h2bbff1b_1\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\menuinst-2.1.2-py312h5da7b33_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\openssl-3.0.15-h827c3e9_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\packaging-24.1-py312haa95532_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\pcre2-10.42-h0ff8eda_1\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\pip-24.2-py312haa95532_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\platformdirs-3.10.0-py312haa95532_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\pluggy-1.0.0-py312haa95532_1\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\pybind11-abi-5-hd3eb1b0_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\pycosat-0.6.6-py312h2bbff1b_1\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\pycparser-2.21-pyhd3eb1b0_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\pysocks-1.7.1-py312haa95532_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\python-3.12.7-h14ffc60_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\reproc-14.2.4-hd77b12b_2\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\reproc-cpp-14.2.4-hd77b12b_2\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\requests-2.32.3-py312haa95532_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\ruamel.yaml-0.18.6-py312h827c3e9_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\ruamel.yaml.clib-0.2.8-py312h827c3e9_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\setuptools-75.1.0-py312haa95532_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\sqlite-3.45.3-h2bbff1b_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\tk-8.6.14-h0416ee5_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\tqdm-4.66.5-py312hfc267ef_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\truststore-0.8.0-py312haa95532_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\tzdata-2024b-h04d1e81_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\urllib3-2.2.3-py312haa95532_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\vc-14.40-h2eaa2aa_1\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\vs2015_runtime-14.40.33807-h98bb1dd_1\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\wheel-0.44.0-py312haa95532_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\win_inet_pton-1.1.0-py312haa95532_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\xz-5.4.6-h8cc25b3_1\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\yaml-cpp-0.8.0-hd77b12b_1\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\zlib-1.2.13-h8cc25b3_1\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\zstandard-0.23.0-py312h4fc1ca9_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs\zstd-1.5.6-h8880b57_0\info Extract: repodata_record.json Output folder: C:\Users\ipiri\miniconda3\pkgs Extract: python-3.12.7-h14ffc60_0.conda Extract: anaconda_powershell_prompt-1.1.0-haa95532_0.conda Extract: anaconda_prompt-1.1.0-haa95532_0.conda Extract: ca-certificates-2024.9.24-haa95532_0.conda Extract: pybind11-abi-5-hd3eb1b0_0.conda Extract: tzdata-2024b-h04d1e81_0.conda Extract: vs2015_runtime-14.40.33807-h98bb1dd_1.conda Extract: vc-14.40-h2eaa2aa_1.conda Extract: bzip2-1.0.8-h2bbff1b_6.conda Extract: expat-2.6.3-h5da7b33_0.conda Extract: fmt-9.1.0-h6d14046_1.conda Extract: libffi-3.4.4-hd77b12b_1.conda Extract: libiconv-1.16-h2bbff1b_3.conda Extract: lz4-c-1.9.4-h2bbff1b_1.conda Extract: openssl-3.0.15-h827c3e9_0.conda Extract: reproc-14.2.4-hd77b12b_2.conda Extract: sqlite-3.45.3-h2bbff1b_0.conda Extract: xz-5.4.6-h8cc25b3_1.conda Extract: yaml-cpp-0.8.0-hd77b12b_1.conda Extract: zlib-1.2.13-h8cc25b3_1.conda Extract: libssh2-1.11.0-h291bd65_0.conda Extract: libxml2-2.13.1-h24da03e_2.conda Extract: pcre2-10.42-h0ff8eda_1.conda Extract: reproc-cpp-14.2.4-hd77b12b_2.conda Extract: tk-8.6.14-h0416ee5_0.conda Extract: zstd-1.5.6-h8880b57_0.conda Extract: libarchive-3.7.4-h9243413_0.conda Extract: libcurl-8.9.1-h0416ee5_0.conda Extract: libsolv-0.7.24-h23ce68f_1.conda Extract: libmamba-1.5.8-h99b1521_3.conda Extract: menuinst-2.1.2-py312h5da7b33_0.conda Extract: anaconda-anon-usage-0.4.4-py312hfc23b7f_100.conda Extract: archspec-0.2.3-pyhd3eb1b0_0.conda Extract: boltons-23.0.0-py312haa95532_0.conda Extract: brotli-python-1.0.9-py312hd77b12b_8.conda Extract: certifi-2024.8.30-py312haa95532_0.conda Extract: charset-normalizer-3.3.2-pyhd3eb1b0_0.conda Extract: colorama-0.4.6-py312haa95532_0.conda Extract: distro-1.9.0-py312haa95532_0.conda Extract: frozendict-2.4.2-py312haa95532_0.conda Extract: idna-3.7-py312haa95532_0.conda Extract: libmambapy-1.5.8-py312h77c03ed_3.conda Extract: packaging-24.1-py312haa95532_0.conda Extract: platformdirs-3.10.0-py312haa95532_0.conda Extract: pluggy-1.0.0-py312haa95532_1.conda Extract: pycosat-0.6.6-py312h2bbff1b_1.conda Extract: ruamel.yaml.clib-0.2.8-py312h827c3e9_0.conda Extract: setuptools-75.1.0-py312haa95532_0.conda Extract: truststore-0.8.0-py312haa95532_0.conda Extract: wheel-0.44.0-py312haa95532_0.conda Extract: win_inet_pton-1.1.0-py312haa95532_0.conda Extract: pip-24.2-py312haa95532_0.conda Extract: pysocks-1.7.1-py312haa95532_0.conda Extract: ruamel.yaml-0.18.6-py312h827c3e9_0.conda Extract: tqdm-4.66.5-py312hfc267ef_0.conda Extract: urllib3-2.2.3-py312haa95532_0.conda Extract: requests-2.32.3-py312haa95532_0.conda Extract: conda-libmamba-solver-24.9.0-pyhd3eb1b0_0.conda Extract: jsonpointer-2.1-pyhd3eb1b0_0.conda Extract: jsonpatch-1.33-py312haa95532_1.conda Extract: pycparser-2.21-pyhd3eb1b0_0.conda Extract: cffi-1.17.1-py312h827c3e9_0.conda Extract: cryptography-43.0.0-py312h89fc84f_0.conda Extract: zstandard-0.23.0-py312h4fc1ca9_0.conda Extract: conda-content-trust-0.2.0-py312haa95532_1.conda Extract: conda-package-streaming-0.10.0-py312haa95532_0.conda Extract: conda-package-handling-2.3.0-py312haa95532_0.conda Extract: conda-24.9.2-py312haa95532_0.conda Setting up the base environment ... Output folder: C:\Users\ipiri\miniconda3\pkgs Extract: env.txt Output folder: C:\Users\ipiri\miniconda3\conda-meta Extract: history Installing packages for base, creating shortcuts if necessary... Downloading and Extracting Packages: ...working... done ## Package Plan ## environment location: C:\Users\ipiri\miniconda3 added / updated specs: - defaults/noarch::archspec==0.2.3=pyhd3eb1b0_0[md5=13d01ee2d343d8539bb47055a6c0b5b2] - defaults/noarch::charset-normalizer==3.3.2=pyhd3eb1b0_0[md5=c6fea3691e85cf7f568b0618ec29fc4f] - defaults/noarch::conda-libmamba-solver==24.9.0=pyhd3eb1b0_0[md5=251a69a5bf578ef59fdf8255c7c25c5d] - defaults/noarch::jsonpointer==2.1=pyhd3eb1b0_0[md5=298ff809e733cb04366e4e629c65aa8d] - defaults/noarch::pybind11-abi==5=hd3eb1b0_0[md5=7f0df6639fdf60ccd3045ee6faedd32f] - defaults/noarch::pycparser==2.21=pyhd3eb1b0_0[md5=135a72ff2a31150a3a3ff0b1edd41ca9] - defaults/noarch::tzdata==2024b=h04d1e81_0[md5=9be694715c6a65f9631bb1b242125e9d] - defaults/win-64::anaconda-anon-usage==0.4.4=py312hfc23b7f_100[md5=7e01b4a1128bbbd94e4eacbf59129c05] - defaults/win-64::anaconda_powershell_prompt==1.1.0=haa95532_0[md5=19ef6ba2f17caca6afeae240c8193979] - defaults/win-64::anaconda_prompt==1.1.0=haa95532_0[md5=f12980dc18dd04d5d50492c7c0f1d1a2] - defaults/win-64::boltons==23.0.0=py312haa95532_0[md5=df8555106ebda0bfb7e873a2899e1e50] - defaults/win-64::brotli-python==1.0.9=py312hd77b12b_8[md5=59ff3db1abed10f8b7705c41f5199573] - defaults/win-64::bzip2==1.0.8=h2bbff1b_6[md5=33e784123d565c38e68945f07b461282] - defaults/win-64::ca-certificates==2024.9.24=haa95532_0[md5=0f84ebf6fe438cbc6997723860ca3de2] - defaults/win-64::certifi==2024.8.30=py312haa95532_0[md5=46d3270437bbd000f59be32b1a0ccdce] - defaults/win-64::cffi==1.17.1=py312h827c3e9_0[md5=fcef370fa986fc1ee293f82af8323339] - defaults/win-64::colorama==0.4.6=py312haa95532_0[md5=161baa1308cf84c4817497287afb709a] - defaults/win-64::conda-content-trust==0.2.0=py312haa95532_1[md5=bc574c11d09ba512434a514d58983ca2] - defaults/win-64::conda-package-handling==2.3.0=py312haa95532_0[md5=b7469f81600402fa325961ae0d3733fe] - defaults/win-64::conda-package-streaming==0.10.0=py312haa95532_0[md5=3cfb78d748555927a5409ed2789d9a23] - defaults/win-64::conda==24.9.2=py312haa95532_0[md5=ccdc4f2f59f9ffb74ac9d4ee496a197d] - defaults/win-64::cryptography==43.0.0=py312h89fc84f_0[md5=04b527bde7c449b0fec5258341e8f8a6] - defaults/win-64::distro==1.9.0=py312haa95532_0[md5=87a1545b00f0734f53e48dc7d7a392e5] - defaults/win-64::expat==2.6.3=h5da7b33_0[md5=0b0d607bdcafa9afa17671242a6deb29] - defaults/win-64::fmt==9.1.0=h6d14046_1[md5=5a94a4f71da5367e14c2b97c93e4f740] - defaults/win-64::frozendict==2.4.2=py312haa95532_0[md5=9e30e114fcb045c7ca538f37950d5120] - defaults/win-64::idna==3.7=py312haa95532_0[md5=114efaad1ed61e1d00e3bbad0aac7d86] - defaults/win-64::jsonpatch==1.33=py312haa95532_1[md5=d9a81ef12b44301b9e0d417f38328b2d] - defaults/win-64::libarchive==3.7.4=h9243413_0[md5=2a85c6e7c1405399517969eb4b90af50] - defaults/win-64::libcurl==8.9.1=h0416ee5_0[md5=a49c47137a05a65e052b919d055d2ae6] - defaults/win-64::libffi==3.4.4=hd77b12b_1[md5=9807b377e11739ae3e920e10e607e460] - defaults/win-64::libiconv==1.16=h2bbff1b_3[md5=1564a57e99efb880d46002dc825d07c1] - defaults/win-64::libmamba==1.5.8=h99b1521_3[md5=5ffe11c1560df366e0afeeffa38c263f] - defaults/win-64::libmambapy==1.5.8=py312h77c03ed_3[md5=614a90d5dd2e999c930727ae27de5d02] - defaults/win-64::libsolv==0.7.24=h23ce68f_1[md5=2207fb6b716b04b4f638d31ebba91e79] - defaults/win-64::libssh2==1.11.0=h291bd65_0[md5=bf8ec4289229332b845dba7b65180de7] - defaults/win-64::libxml2==2.13.1=h24da03e_2[md5=4e98cb73c3e0af7357bfe9aa2bf9fb0a] - defaults/win-64::lz4-c==1.9.4=h2bbff1b_1[md5=723e3ccd4ef7c58ddbfeebe69abff662] - defaults/win-64::menuinst==2.1.2=py312h5da7b33_0[md5=8366733ef4636f427bdeb740d16f4a02] - defaults/win-64::openssl==3.0.15=h827c3e9_0[md5=7781aef6d9439002465f12df75789757] - defaults/win-64::packaging==24.1=py312haa95532_0[md5=b5ecc0a9c2cc5a1e44f9dd4598c4df50] - defaults/win-64::pcre2==10.42=h0ff8eda_1[md5=c09acf9bd80c5a76f5315108b9a34ad5] - defaults/win-64::pip==24.2=py312haa95532_0[md5=cdc7bc1beec1fca9232399b7ce5c579a] - defaults/win-64::platformdirs==3.10.0=py312haa95532_0[md5=21714abfa08e1d6e0435b9768ead622a] - defaults/win-64::pluggy==1.0.0=py312haa95532_1[md5=a035f6bc79b4bd1fd4d7b99effa5b643] - defaults/win-64::pycosat==0.6.6=py312h2bbff1b_1[md5=5ed12cec6117aca1f17e2492b16bf983] - defaults/win-64::pysocks==1.7.1=py312haa95532_0[md5=e5f7b8790925322357ee89cc7ae5bb1c] - defaults/win-64::python==3.12.7=h14ffc60_0[md5=e8862f1d033a406f14be503fac585883] - defaults/win-64::reproc-cpp==14.2.4=hd77b12b_2[md5=34c1b673ec90d3c79cfb1677505ae5c8] - defaults/win-64::reproc==14.2.4=hd77b12b_2[md5=0145436bf5111660b686d3ad7f1b4235] - defaults/win-64::requests==2.32.3=py312haa95532_0[md5=ec7f939e52a6bd6501164b7b11f07fb5] - defaults/win-64::ruamel.yaml.clib==0.2.8=py312h827c3e9_0[md5=a4c0471292bd589a1d8da0e5adbd45e4] - defaults/win-64::ruamel.yaml==0.18.6=py312h827c3e9_0[md5=023be647f9a82f66db5fa1388e67e1fb] - defaults/win-64::setuptools==75.1.0=py312haa95532_0[md5=295271832b0e5fb9788db7993748e392] - defaults/win-64::sqlite==3.45.3=h2bbff1b_0[md5=c5b3b929349655302bf811c45571da6d] - defaults/win-64::tk==8.6.14=h0416ee5_0[md5=da75707c571825eb2ad0eb806710b16b] - defaults/win-64::tqdm==4.66.5=py312hfc267ef_0[md5=61b53ea176ef121a7c4785c3af45b50e] - defaults/win-64::truststore==0.8.0=py312haa95532_0[md5=cd11980b22b5d9d958033a7df07c0617] - defaults/win-64::urllib3==2.2.3=py312haa95532_0[md5=6e9a6165835ea53e6fb604eaa9a67e36] - defaults/win-64::vc==14.40=h2eaa2aa_1[md5=17cff96ab79812e3d26cd65fa5e70088] - defaults/win-64::vs2015_runtime==14.40.33807=h98bb1dd_1[md5=eb3566bfee017cb6cf82bd7c41441586] - defaults/win-64::wheel==0.44.0=py312haa95532_0[md5=e0d4ff7c1b53527d54a4b5c4c3256d8c] - defaults/win-64::win_inet_pton==1.1.0=py312haa95532_0[md5=3ba2805fbd7809df9a5628c068b9d873] - defaults/win-64::xz==5.4.6=h8cc25b3_1[md5=cd89b06b0e59712386f00a41fb2dec32] - defaults/win-64::yaml-cpp==0.8.0=hd77b12b_1[md5=f90bd3c9e348fc821d2699721773225f] - defaults/win-64::zlib==1.2.13=h8cc25b3_1[md5=1f7ea85632611b25599e4cddf5b51d7d] - defaults/win-64::zstandard==0.23.0=py312h4fc1ca9_0[md5=a8b8fcf057573fae512a355daabc3031] - defaults/win-64::zstd==1.5.6=h8880b57_0[md5=0ca0f609c72a6ae9a27985be56b6c351] The following NEW packages will be INSTALLED: anaconda-anon-usa~ pkgs/main/win-64::anaconda-anon-usage-0.4.4-py312hfc23b7f_100 anaconda_powershe~ pkgs/main/win-64::anaconda_powershell_prompt-1.1.0-haa95532_0 anaconda_prompt pkgs/main/win-64::anaconda_prompt-1.1.0-haa95532_0 archspec pkgs/main/noarch::archspec-0.2.3-pyhd3eb1b0_0 boltons pkgs/main/win-64::boltons-23.0.0-py312haa95532_0 brotli-python pkgs/main/win-64::brotli-python-1.0.9-py312hd77b12b_8 bzip2 pkgs/main/win-64::bzip2-1.0.8-h2bbff1b_6 ca-certificates pkgs/main/win-64::ca-certificates-2024.9.24-haa95532_0 certifi pkgs/main/win-64::certifi-2024.8.30-py312haa95532_0 cffi pkgs/main/win-64::cffi-1.17.1-py312h827c3e9_0 charset-normalizer pkgs/main/noarch::charset-normalizer-3.3.2-pyhd3eb1b0_0 colorama pkgs/main/win-64::colorama-0.4.6-py312haa95532_0 conda pkgs/main/win-64::conda-24.9.2-py312haa95532_0 conda-content-tru~ pkgs/main/win-64::conda-content-trust-0.2.0-py312haa95532_1 conda-libmamba-so~ pkgs/main/noarch::conda-libmamba-solver-24.9.0-pyhd3eb1b0_0 conda-package-han~ pkgs/main/win-64::conda-package-handling-2.3.0-py312haa95532_0 conda-package-str~ pkgs/main/win-64::conda-package-streaming-0.10.0-py312haa95532_0 cryptography pkgs/main/win-64::cryptography-43.0.0-py312h89fc84f_0 distro pkgs/main/win-64::distro-1.9.0-py312haa95532_0 expat pkgs/main/win-64::expat-2.6.3-h5da7b33_0 fmt pkgs/main/win-64::fmt-9.1.0-h6d14046_1 frozendict pkgs/main/win-64::frozendict-2.4.2-py312haa95532_0 idna pkgs/main/win-64::idna-3.7-py312haa95532_0 jsonpatch pkgs/main/win-64::jsonpatch-1.33-py312haa95532_1 jsonpointer pkgs/main/noarch::jsonpointer-2.1-pyhd3eb1b0_0 libarchive pkgs/main/win-64::libarchive-3.7.4-h9243413_0 libcurl pkgs/main/win-64::libcurl-8.9.1-h0416ee5_0 libffi pkgs/main/win-64::libffi-3.4.4-hd77b12b_1 libiconv pkgs/main/win-64::libiconv-1.16-h2bbff1b_3 libmamba pkgs/main/win-64::libmamba-1.5.8-h99b1521_3 libmambapy pkgs/main/win-64::libmambapy-1.5.8-py312h77c03ed_3 libsolv pkgs/main/win-64::libsolv-0.7.24-h23ce68f_1 libssh2 pkgs/main/win-64::libssh2-1.11.0-h291bd65_0 libxml2 pkgs/main/win-64::libxml2-2.13.1-h24da03e_2 lz4-c pkgs/main/win-64::lz4-c-1.9.4-h2bbff1b_1 menuinst pkgs/main/win-64::menuinst-2.1.2-py312h5da7b33_0 openssl pkgs/main/win-64::openssl-3.0.15-h827c3e9_0 packaging pkgs/main/win-64::packaging-24.1-py312haa95532_0 pcre2 pkgs/main/win-64::pcre2-10.42-h0ff8eda_1 pip pkgs/main/win-64::pip-24.2-py312haa95532_0 platformdirs pkgs/main/win-64::platformdirs-3.10.0-py312haa95532_0 pluggy pkgs/main/win-64::pluggy-1.0.0-py312haa95532_1 pybind11-abi pkgs/main/noarch::pybind11-abi-5-hd3eb1b0_0 pycosat pkgs/main/win-64::pycosat-0.6.6-py312h2bbff1b_1 pycparser pkgs/main/noarch::pycparser-2.21-pyhd3eb1b0_0 pysocks pkgs/main/win-64::pysocks-1.7.1-py312haa95532_0 python pkgs/main/win-64::python-3.12.7-h14ffc60_0 reproc pkgs/main/win-64::reproc-14.2.4-hd77b12b_2 reproc-cpp pkgs/main/win-64::reproc-cpp-14.2.4-hd77b12b_2 requests pkgs/main/win-64::requests-2.32.3-py312haa95532_0 ruamel.yaml pkgs/main/win-64::ruamel.yaml-0.18.6-py312h827c3e9_0 ruamel.yaml.clib pkgs/main/win-64::ruamel.yaml.clib-0.2.8-py312h827c3e9_0 setuptools pkgs/main/win-64::setuptools-75.1.0-py312haa95532_0 sqlite pkgs/main/win-64::sqlite-3.45.3-h2bbff1b_0 tk pkgs/main/win-64::tk-8.6.14-h0416ee5_0 tqdm pkgs/main/win-64::tqdm-4.66.5-py312hfc267ef_0 truststore pkgs/main/win-64::truststore-0.8.0-py312haa95532_0 tzdata pkgs/main/noarch::tzdata-2024b-h04d1e81_0 urllib3 pkgs/main/win-64::urllib3-2.2.3-py312haa95532_0 vc pkgs/main/win-64::vc-14.40-h2eaa2aa_1 vs2015_runtime pkgs/main/win-64::vs2015_runtime-14.40.33807-h98bb1dd_1 wheel pkgs/main/win-64::wheel-0.44.0-py312haa95532_0 win_inet_pton pkgs/main/win-64::win_inet_pton-1.1.0-py312haa95532_0 xz pkgs/main/win-64::xz-5.4.6-h8cc25b3_1 yaml-cpp pkgs/main/win-64::yaml-cpp-0.8.0-hd77b12b_1 zlib pkgs/main/win-64::zlib-1.2.13-h8cc25b3_1 zstandard pkgs/main/win-64::zstandard-0.23.0-py312h4fc1ca9_0 zstd pkgs/main/win-64::zstd-1.5.6-h8880b57_0 Downloading and Extracting Packages: ...working... done Preparing transaction: ...working... done Executing transaction: ...working... done ERROR conda.core.link:_execute(950): An error occurred while installing package 'defaults::anaconda_powershell_prompt-1.1.0-haa95532_0'. Rolling back transaction: ...working... done LinkError: post-link script failed for package defaults::anaconda_powershell_prompt-1.1.0-haa95532_0 location of failed script: C:\Users\ipiri\miniconda3\Scripts\.anaconda_powershell_prompt-post-link.bat ==> script messages <== <None> ==> script output <== stdout: stderr: The system cannot find the file specified. The system cannot find the file specified. return code: 1 () ::error:: Failed to link extracted packages to C:\Users\ipiri\miniconda3! ``` I aborted the install and the miniconda3 folder does not have the core folders bin, scripts and others. ### Conda Info ```shell ``` ### Conda Config ```shell ``` ### Conda list ```shell ``` ### Additional Context _No response_ 1 个帖子 - 1 位参与者 阅读完整话题
Ricci Flow – AI Web Scraper for Chrome: AI Data Extraction Tool for Web Scraping to CSV, Excel, JSON Comments URL: https://news.ycombinator.com/item?id=47815071 Points: 2 # Comments: 1
Article URL: https://itlinks.me Comments URL: https://news.ycombinator.com/item?id=47814937 Points: 2 # Comments: 0
Article URL: https://greatapps.net/ Comments URL: https://news.ycombinator.com/item?id=47814857 Points: 2 # Comments: 0
IT之家 4 月 18 日消息，消息源 Canon Rumors 今天发文，长期以来有传闻称，佳能将在经典胶片单反 AE-1 诞生 50 周年时推出一款复古相机，甚至型号可能是“RE-1”。不过从目前情报来看，佳能似乎并没有这种计划。 IT之家在此援引 Canon Rumors，佳能即将推出 EOS R8 Mark II 全画幅无反相机，可能会加入复古元素。 这意味着佳能将会为 R8 系列产品线分化两条路线：一条是偏视频拍摄的 EOS R8 V，有望下周发布；另一条则是主打复古设计的 R8 Mark II。 不过我们目前仍无法得知 EOS R8 Mark II 的具体规格。从逻辑上看，带复古设计的全画幅无反都不会失败。 事实上，佳能在上个月接受 Phototrend 采访时，被问及是否会纪念 AE-1 诞生 50 周年。官方当时回应道：“目前我们没有准备以特别的方式庆祝这一里程碑”。 佳能认为，复古数码相机存在诸多设计难点。首先相机设计不仅只是做个机身，还要让机身、镜头、配件整体协调。并且握持感、拨轮和按键布局等人机交互设计也在几十年间发生很大变化。 简单复刻老相机的外观未必能带来良好的现代体验 。 他表示，虽然市场对复古外观的需求确实存在， 但在推进之前必须充分评估技术难度与商业可行性 。 IT之家注：佳能 AE-1 是一台胶片单反相机，最初发布于 1976 年 4 月，是世界上第一台采用微处理器控制的量产单反相机，搭载 FD 卡口，支持快门优先自动曝光（S 挡 / Tv 挡），让大量普通用户无需掌握摄影知识就能拍出曝光正确的照片，被国内摄友与尼康 FM2、奥巴 OM-1、美能达 X700 并誉为“豆瓣四大神机”。 有趣的是，苹果前员工 Jim Reekes 曾透露，iPhone 手机按下快门的声音实际上来自他高中时买的佳能 AE-1。
19 个帖子 - 9 位参与者 阅读完整话题
You’re not eligible for the free trial, but you can still subscribe without it Cancel anytime in Subscriptions on Google Play A temporary authorization hold may be placed on your payment method up to 2 days before your renewal date 有佬知道什么原因吗，页面上0$，支付的时候却是原价 2 个帖子 - 2 位参与者 阅读完整话题
参考豆包专家的资料整的 英文提示词通用: transform this anime character into a realistic human, maintain exact hairstyle, hair color, eye color, facial proportions and expression, natural skin pores, detailed eyes and lips, even studio lighting, clear facial contours 多图的话，把this改成these ，Character后面加个s 删掉into后面的a 不然傻傻的豆包可能就帮你把所有图片融合起来，生成一张图片了() 直接看看豆包5.0效果吧，我不是很喜欢，但是某些AI形象创建必须要真实人脸 把二次元的头部比例复刻到这里还是很奇怪喵 3 个帖子 - 3 位参与者 阅读完整话题
仅限insider，真的超值的 9 个帖子 - 8 位参与者 阅读完整话题
前情提要： 最近在做一个应用，现在比较急着补一套相对正规的注册登录功能。（主要是怕AI手搓，又是重复造轮子又是四处漏风） 我之前其实没有完整做过认证这块，像注册、登录、验证码、找回密码、第三方登录这些，都是纯用过见过听过，没有真正写过，最多STMP邮箱认证，但是那个太糙了还有bug 在问实现方案的时候，Claude 给我推荐了一个 Casdoor ， github.com GitHub - casdoor/casdoor: An open-source Agent-first Identity and Access... An open-source Agent-first Identity and Access Management (IAM) /LLM MCP & agent gateway and auth server with web UI supporting OpenClaw, MCP, OAuth, OIDC, SAML, CAS, LDAP, SCIM, WebAuthn, TOTP, MFA, Face ID, Google Workspace, Azure AD 我看了一下，是一个统一认证中心的项目，能管注册登录，也能扩展邮箱、短信、微信、GitHub 之类的登录方式。 所以我现在在想一个事情： 如果目标是尽快把“正规的注册登录能力”上线，是不是直接上 Casdoor 会比自己用AI手搓更合适？ 实际诉求大概是这些： 1、应用需要支持公开注册和登录 2、肯定要带验证能力，比如邮箱验证码 / 短信验证码这类 3、后续肯定会接微信登录，或者别的第三方登录方式 4、这套东西肯定尽量正规一点，而不是简单写个账号密码表就先凑合 我现在问完AI后对这件事的理解是： 如果自己手搓，就得自己处理注册、登录、token、验证码、找回密码、第三方登录接入这些问题，还得再次去造轮子 如果用 Casdoor，可能可以直接把认证体系独立出去，业务系统只关心用户身份和权限，最多多部署维护一个认证中心 但我没有实际做过，所以不太确定这个判断是不是对的。 有没有懂的佬 以下是用GPT整理的问题列表 其实就是： 想尽快把注册登录做正规，同时尽量别让自己以后每加一种登录方式都重做一遍认证逻辑。 或者有没有其他更好搞的项目直接使唤 5 个帖子 - 3 位参与者 阅读完整话题
Read an article about analyzing Garmin data with AI. Sounded great — except I didn't want to send my health data to any cloud service. So I asked Claude to write me 2-3 scripts and a dashboard. This escalated a bit. 30 days and 20$ later I have this: A local-first Garmin archive with interactive HTML dashboards, Excel exports, weather and pollen context, AES-256 encrypted token storage, and a self-healing data pipeline with 515 automated tests. Windows desktop app, no terminal needed. Nothing leaves your machine. I never wrote a line of Python. I understood the problems and made the architectural decisions. Claude wrote everything else. GitHub: github.com/Wewoc/Garmin_Local_Archive Comments URL: https://news.ycombinator.com/item?id=47814208 Points: 3 # Comments: 1
IT之家 4 月 18 日消息，消息人士 @redphx 昨天在 X 平台放出挖掘代码，显示微软 XGP 游戏订阅服务将提供“Triton”和“Duet”两个新档位。 据推测，“Triton”档位可能只提供《光环》《毁灭战士》等 Xbox 第一方游戏， 而“Duet”则可能整合 Netflix 订阅服务 。 同时根据目前的泄露代码，这两个新档位都有可能支持 Xbox Cloud Gaming 云游戏服务。不过微软可能会引入限时游玩机制，减轻服务器负载。类似英伟达 GeForce Now 的限流措施。 值得注意的是，每月 29.99 美元（IT之家注：现汇率约合 205 元人民币）的微软 XGPU 订阅提供无限制串流服务。而英伟达 GeForce Now 则是一开始不限制游玩时长，但后续对付费方案设定每月 100 小时使用上限。
API Error: 400 {“error”:“claude-opus-4-6 已下线，请切换到 claude-opus-4-7 模型”,“type”:“error”} no，我不要伪人 4.7 啊，我要 4.6 这是opus4.7调用超时的报错，是官转吗 API Error: 503 {“error”:{“message”:“ServiceUnavailable”,“type”:“error”},“type”:“error”} · check status.claude.com 3 个帖子 - 3 位参与者 阅读完整话题
Article URL: https://bizlect.com Comments URL: https://news.ycombinator.com/item?id=47813990 Points: 1 # Comments: 0