# Cursor Chat: ai-agent-book

## Metadata
- **Project**: ai-agent-book
- **Path**: `/Users/boj`
- **Date**: 2025-10-03 23:53:10
- **Session ID**: `033185f2-73c0-4e9e-a12a-172a80b42f7e`

## Conversation

### 👤 You

Traceback (most recent call last):
  File "/root/sesame.py", line 163, in <module>
    processed_ds = raw_ds.map(
        preprocess_example,
        remove_columns=raw_ds.column_names,
        desc="Preprocessing dataset",
    )
  File "/root/miniconda3/envs/sesame/lib/python3.13/site-packages/datasets/arrow_dataset.py", line 562, in wrapper
    out: Union["Dataset", "DatasetDict"] = func(self, *args, **kwargs)
                                           ~~~~^^^^^^^^^^^^^^^^^^^^^^^
  File "/root/miniconda3/envs/sesame/lib/python3.13/site-packages/datasets/arrow_dataset.py", line 3327, in map
    for rank, done, content in Dataset._map_single(**unprocessed_kwargs):
                               ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^
  File "/root/miniconda3/envs/sesame/lib/python3.13/site-packages/datasets/arrow_dataset.py", line 3659, in _map_single
    for i, example in iter_outputs(shard_iterable):
                      ~~~~~~~~~~~~^^^^^^^^^^^^^^^^
  File "/root/miniconda3/envs/sesame/lib/python3.13/site-packages/datasets/arrow_dataset.py", line 3633, in iter_outputs
    yield i, apply_function(example, i, offset=offset)
             ~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/root/miniconda3/envs/sesame/lib/python3.13/site-packages/datasets/arrow_dataset.py", line 3556, in apply_function
    processed_inputs = function(*fn_args, *additional_args, **fn_kwargs)
  File "/root/sesame.py", line 116, in preprocess_example
    {"type": "audio", "path": example["audio"]["array"]},
                              ~~~~~~~^^^^^^^^^
  File "/root/miniconda3/envs/sesame/lib/python3.13/site-packages/datasets/formatting/formatting.py", line 285, in __getitem__
    value = self.format(key)
  File "/root/miniconda3/envs/sesame/lib/python3.13/site-packages/datasets/formatting/formatting.py", line 380, in format
    return self.formatter.format_column(self.pa_table.select([key]))[0]
           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/root/miniconda3/envs/sesame/lib/python3.13/site-packages/datasets/formatting/formatting.py", line 465, in format_column
    column = self.python_features_decoder.decode_column(column, pa_table.column_names[0])
  File "/root/miniconda3/envs/sesame/lib/python3.13/site-packages/datasets/formatting/formatting.py", line 228, in decode_column
    self.features.decode_column(column, column_name, token_per_repo_id=self.token_per_repo_id)
    ~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/root/miniconda3/envs/sesame/lib/python3.13/site-packages/datasets/features/features.py", line 2121, in decode_column
    decode_nested_example(self[column_name], value, token_per_repo_id=token_per_repo_id)
    ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/root/miniconda3/envs/sesame/lib/python3.13/site-packages/datasets/features/features.py", line 1409, in decode_nested_example
    return schema.decode_example(obj, token_per_repo_id=token_per_repo_id) if obj is not None else None
           ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/root/miniconda3/envs/sesame/lib/python3.13/site-packages/datasets/features/audio.py", line 179, in decode_example
    from ._torchcodec import AudioDecoder
  File "/root/miniconda3/envs/sesame/lib/python3.13/site-packages/datasets/features/_torchcodec.py", line 2, in <module>
    from torchcodec.decoders import AudioDecoder as _AudioDecoder
  File "/root/miniconda3/envs/sesame/lib/python3.13/site-packages/torchcodec/__init__.py", line 10, in <module>
    from . import decoders, samplers  # noqa
    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/root/miniconda3/envs/sesame/lib/python3.13/site-packages/torchcodec/decoders/__init__.py", line 7, in <module>
    from .._core import AudioStreamMetadata, VideoStreamMetadata
  File "/root/miniconda3/envs/sesame/lib/python3.13/site-packages/torchcodec/_core/__init__.py", line 8, in <module>
    from ._metadata import (
    ...<5 lines>...
    )
  File "/root/miniconda3/envs/sesame/lib/python3.13/site-packages/torchcodec/_core/_metadata.py", line 16, in <module>
    from torchcodec._core.ops import (
    ...<3 lines>...
    )
  File "/root/miniconda3/envs/sesame/lib/python3.13/site-packages/torchcodec/_core/ops.py", line 84, in <module>
    load_torchcodec_shared_libraries()
    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
  File "/root/miniconda3/envs/sesame/lib/python3.13/site-packages/torchcodec/_core/ops.py", line 69, in load_torchcodec_shared_libraries
    raise RuntimeError(
    ...<11 lines>...
    )
RuntimeError: Could not load libtorchcodec. Likely causes:
          1. FFmpeg is not properly installed in your environment. We support
             versions 4, 5, 6 and 7.
          2. The PyTorch version (2.8.0+cu128) is not compatible with
             this version of TorchCodec. Refer to the version compatibility
             table:
             https://github.com/pytorch/torchcodec?tab=readme-ov-file#installing-torchcodec.
          3. Another runtime dependency; see exceptions below.
        The following exceptions were raised as we tried to load libtorchcodec:

[start of libtorchcodec loading traceback]
FFmpeg version 7: libavutil.so.59: cannot open shared object file: No such file or directory
FFmpeg version 6: /root/miniconda3/envs/sesame/bin/../lib/libstdc++.so.6: version `GLIBCXX_3.4.32' not found (required by /usr/lib/x86_64-linux-gnu/libavfilter.so.9)
FFmpeg version 5: libavutil.so.57: cannot open shared object file: No such file or directory
FFmpeg version 4: libavutil.so.56: cannot open shared object file: No such file or directory
[end of libtorchcodec loading traceback].
(sesame) root@C.26412100:~$ ffmpeg --version
ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers
  built with gcc 13 (Ubuntu 13.2.0-23ubuntu3)

---

### 🤖 Cursor Assistant

This is a library compatibility issue between your conda environment and the system FFmpeg installation. The system FFmpeg 6 requires `GLIBCXX_3.4.32`, but your conda environment has an older version of `libstdc++`.

Here are the solutions, in order of preference:

## Solution 1: Install FFmpeg in the conda environment (Recommended)

This ensures all libraries are compatible within the same environment:

---

### 👤 You

The following NEW packages will be INSTALLED:

  aom                conda-forge/linux-64::aom-3.3.0-h27087fc_1
  ffmpeg             conda-forge/linux-64::ffmpeg-5.0.1-h964e5f1_2
  freetype           pkgs/main/linux-64::freetype-2.13.3-h4a9f257_0
  gmp                conda-forge/linux-64::gmp-6.2.1-h58526e2_0
  gnutls             conda-forge/linux-64::gnutls-3.6.13-h85f3911_1
  icu                pkgs/main/linux-64::icu-73.1-h6a678d5_0
  lame               conda-forge/linux-64::lame-3.100-h7f98852_1001
  libdrm             pkgs/main/linux-64::libdrm-2.4.124-h5eee18b_0
  libpciaccess       pkgs/main/linux-64::libpciaccess-0.18-h5eee18b_0
  libpng             pkgs/main/linux-64::libpng-1.6.39-h5eee18b_0
  libva              conda-forge/linux-64::libva-2.21.0-hd590300_0
  libvpx             conda-forge/linux-64::libvpx-1.11.0-h9c3ff4c_3
  libxml2            pkgs/main/linux-64::libxml2-2.13.8-hfdd30dd_0
  nettle             conda-forge/linux-64::nettle-3.6-he412f7d_0
  openh264           pkgs/main/linux-64::openh264-2.1.1-h4ff587b_0
  svt-av1            conda-forge/linux-64::svt-av1-1.1.0-h27087fc_1
  x264               conda-forge/linux-64::x264-1!161.3030-h7f98852_1
  x265               conda-forge/linux-64::x265-3.5-h924138e_3
  xorg-libxext       pkgs/main/linux-64::xorg-libxext-1.3.6-h9b100fa_0
  xorg-libxfixes     pkgs/main/linux-64::xorg-libxfixes-6.0.1-h9b100fa_0



Downloading and Extracting Packages:

Preparing transaction: done
Verifying transaction: done
Executing transaction: done
(sesame) root@C.26412100:~$ ffmpeg --version
ffmpeg: error while loading shared libraries: libiconv.so.2: cannot open shared object file: No such file or directory
(sesame) root@C.26412100:~$ which ffmpeg
/root/miniconda3/envs/sesame/bin/ffmpeg

---

### 🤖 Cursor Assistant

The FFmpeg installation is missing the `libiconv` library dependency. Let's install it:

---

### 👤 You

)
RuntimeError: Could not load libtorchcodec. Likely causes:
          1. FFmpeg is not properly installed in your environment. We support
             versions 4, 5, 6 and 7.
          2. The PyTorch version (2.8.0+cu128) is not compatible with
             this version of TorchCodec. Refer to the version compatibility
             table:
             https://github.com/pytorch/torchcodec?tab=readme-ov-file#installing-torchcodec.
          3. Another runtime dependency; see exceptions below.
        The following exceptions were raised as we tried to load libtorchcodec:

[start of libtorchcodec loading traceback]
FFmpeg version 7: libavutil.so.59: cannot open shared object file: No such file or directory
FFmpeg version 6: /root/miniconda3/envs/sesame/bin/../lib/libstdc++.so.6: version `GLIBCXX_3.4.32' not found (required by /usr/lib/x86_64-linux-gnu/libavfilter.so.9)
FFmpeg version 5: /root/miniconda3/envs/sesame/lib/python3.13/site-packages/torchcodec/libtorchcodec_core5.so: undefined symbol: av_channel_layout_default, version LIBAVUTIL_57
FFmpeg version 4: libavutil.so.56: cannot open shared object file: No such file or directory
[end of libtorchcodec loading traceback].

---

### 🤖 Cursor Assistant

I see the issue now. The conda FFmpeg 5 has a symbol compatibility problem with torchcodec. You need to install a newer FFmpeg version (6 or 7) in your conda environment. Since you're on a remote Linux server, here are the commands you should run:

## Solution: Install FFmpeg 6 or 7 in conda

Try FFmpeg 6 first (should work with your torchcodec version):

```bash
conda install -c conda-forge "ffmpeg>=6.0" -y
```

If that doesn't resolve it, you may also need to update `libstdc++` to get the required GLIBCXX version:

```bash
conda install -c conda-forge libstdcxx-ng -y
```

## Alternative: Install libiconv and upgrade FFmpeg

Since FFmpeg is also missing libiconv, install both together:

```bash
conda install -c conda-forge libiconv "ffmpeg>=6.0" libstdcxx-ng -y
```

## If conda approach doesn't work: Downgrade to avoid torchcodec

The audio decoding issue comes from the `datasets` library trying to use `torchcodec`. You can work around this by:

1. **Downgrade datasets** to a version that doesn't require torchcodec:
   ```bash
   pip install "datasets<3.0.0"
   ```

2. **Or disable audio decoding** in your code by modifying how you load the dataset. Looking at your script, change the dataset loading to avoid decoding audio automatically:

   ```python
   raw_ds = load_dataset("...", split="...", streaming=False)
   # Set decode=False for audio to avoid torchcodec
   raw_ds = raw_ds.cast_column("audio", datasets.Audio(decode=False))
   ```

**Recommendation**: Try the first approach (install FFmpeg 6+ and libstdcxx-ng in conda) as it's the cleanest solution that addresses all the library compatibility issues at once.

---


*Exported from [Cursor View](https://github.com/saharmor/cursor-view)*