Update readme & remove example 1

CONTRIBUTING.md

@@ -129,26 +129,34 @@ Follow these steps to start contributing:
 
    🚨 **Do not** work on the `main` branch.
 
-4. Instead of using `pip` directly, we use `poetry` for development purposes to easily track our dependencies.
+4. for development, we use `poetry` instead of just `pip` to easily track our dependencies.
    If you don't have it already, follow the [instructions](https://python-poetry.org/docs/#installation) to install it.
-   Set up a development environment by running the following command in a conda or a virtual environment you've created for working on this library:
-   Install the project with dev dependencies and all environments:
+
+   Set up a development environment with conda or miniconda:
+   ```bash
+   conda create -y -n lerobot-dev python=3.10 && conda activate lerobot-dev
+   ```
+
+   To develop on 🤗 LeRobot, you will at least need to install the `dev` and `test` extras dependencies along with the core library:
    ```bash
-   poetry install --sync --with dev --all-extras
+   poetry install --sync --extras "dev test"
    ```
-   This command should be run when pulling code with and updated version of `pyproject.toml` and `poetry.lock` in order to synchronize your virtual environment with the dependencies.
 
-   To selectively install environments (for example aloha and pusht) use:
+   You can also install the project with all its dependencies (including environments):
    ```bash
-   poetry install --sync --with dev --extras "aloha pusht"
+   poetry install --sync --all-extras
    ```
 
+   > **Note:** If you don't install simulation environments with `--all-extras`, the tests that require them will be skipped when running the pytest suite locally. However, they *will* be tested in the CI. In general, we advise you to install everything and test locally before pushing.
+
+   Whichever command you chose to install the project (e.g. `poetry install --sync --all-extras`), you should run it again when pulling code with an updated version of `pyproject.toml` and `poetry.lock` in order to synchronize your virtual environment with the new dependencies.
+
    The equivalent of `pip install some-package`, would just be:
    ```bash
    poetry add some-package
    ```
 
-   When changes are made to the poetry sections of the `pyproject.toml`, you should run the following command to lock dependencies.
+   When making changes to the poetry sections of the `pyproject.toml`, you should run the following command to lock dependencies.
    ```bash
    poetry lock --no-update
    ```

README.md

@@ -10,7 +10,7 @@
 
 <div align="center">
 
-[![Tests](https://github.com/huggingface/lerobot/actions/workflows/test.yml/badge.svg?branch=main)](https://github.com/huggingface/lerobot/actions/workflows/test.yml?query=branch%3Amain)
+[![Tests](https://github.com/huggingface/lerobot/actions/workflows/nightly-tests.yml/badge.svg?branch=main)](https://github.com/huggingface/lerobot/actions/workflows/nightly-tests.yml?query=branch%3Amain)
 [![Coverage](https://codecov.io/gh/huggingface/lerobot/branch/main/graph/badge.svg?token=TODO)](https://codecov.io/gh/huggingface/lerobot)
 [![Python versions](https://img.shields.io/pypi/pyversions/lerobot)](https://www.python.org/downloads/)
 [![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://github.com/huggingface/lerobot/blob/main/LICENSE)
@@ -73,7 +73,7 @@ conda create -y -n lerobot python=3.10 && conda activate lerobot
 
 Install 🤗 LeRobot:
 ```bash
-python -m pip install .
+pip install .
 ```
 
 For simulations, 🤗 LeRobot comes with gymnasium environments that can be installed as extras:
@@ -83,7 +83,7 @@ For simulations, 🤗 LeRobot comes with gymnasium environments that can be inst
 
 For instance, to install 🤗 LeRobot with aloha and pusht, use:
 ```bash
-python -m pip install ".[aloha, pusht]"
+pip install ".[aloha, pusht]"
 ```
 
 To use [Weights and Biases](https://docs.wandb.ai/quickstart) for experiments tracking, log in with

examples/2_load_lerobot_dataset.py → examples/1_load_lerobot_dataset.py

@@ -58,8 +58,8 @@
 frames = [frame.permute((1, 2, 0)).numpy() for frame in frames]
 
 # and finally save them to a mp4 video
-Path("outputs/examples/2_load_lerobot_dataset").mkdir(parents=True, exist_ok=True)
-imageio.mimsave("outputs/examples/2_load_lerobot_dataset/episode_5.mp4", frames, fps=dataset.fps)
+Path("outputs/examples/1_load_lerobot_dataset").mkdir(parents=True, exist_ok=True)
+imageio.mimsave("outputs/examples/1_load_lerobot_dataset/episode_5.mp4", frames, fps=dataset.fps)
 
 # For many machine learning applications we need to load histories of past observations, or trajectorys of future actions. Our datasets can load previous and future frames for each key/modality,
 # using timestamps differences with the current loaded frame. For instance:

tests/test_examples.py

@@ -15,24 +15,18 @@ def _run_script(path):
 
 
 def test_example_1():
-    path = "examples/1_load_hugging_face_dataset.py"
+    path = "examples/1_load_lerobot_dataset.py"
     _run_script(path)
-    assert Path("outputs/examples/1_load_hugging_face_dataset/episode_5.mp4").exists()
+    assert Path("outputs/examples/1_load_lerobot_dataset/episode_5.mp4").exists()
 
 
-def test_example_2():
-    path = "examples/2_load_lerobot_dataset.py"
-    _run_script(path)
-    assert Path("outputs/examples/2_load_lerobot_dataset/episode_5.mp4").exists()
-
-
-def test_examples_4_and_3():
+def test_examples_3_and_2():
     """
     Train a model with example 3, check the outputs.
     Evaluate the trained model with example 2, check the outputs.
     """
 
-    path = "examples/4_train_policy.py"
+    path = "examples/3_train_policy.py"
 
     with open(path) as file:
         file_contents = file.read()
@@ -54,7 +48,7 @@ def test_examples_4_and_3():
     for file_name in ["model.pt", "config.yaml"]:
         assert Path(f"outputs/train/example_pusht_diffusion/{file_name}").exists()
 
-    path = "examples/3_evaluate_pretrained_policy.py"
+    path = "examples/2_evaluate_pretrained_policy.py"
 
     with open(path) as file:
         file_contents = file.read()