diff --git a/.github/ISSUE_TEMPLATE/bug-report.yml b/.github/ISSUE_TEMPLATE/bug-report.yml
new file mode 100644
index 00000000..132c21cb
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/bug-report.yml
@@ -0,0 +1,54 @@
+name: "\U0001F41B Bug Report"
+description: Submit a bug report to help us improve LeRobot
+body:
+  - type: markdown
+    attributes:
+      value: |
+        Thanks for taking the time to submit a bug report! 🐛
+        If this is not a bug related to the LeRobot library directly, but instead a general question about your code or the library specifically please use our [discord](https://discord.gg/s3KuuzsPFb).
+
+  - type: textarea
+    id: system-info
+    attributes:
+      label: System Info
+      description: If needed, you can share your lerobot configuration with us by running `python -m lerobot.commands.env` and copy-pasting its outputs below
+      render: Shell
+      placeholder: lerobot version, OS, python version, numpy version, torch version, and lerobot's configuration
+    validations:
+      required: true
+
+  - type: checkboxes
+    id: information-scripts-examples
+    attributes:
+      label: Information
+      description: 'The problem arises when using:'
+      options:
+        - label: "One of the scripts in the examples/ folder of LeRobot"
+        - label: "My own task or dataset (give details below)"
+
+  - type: textarea
+    id: reproduction
+    validations:
+      required: true
+    attributes:
+      label: Reproduction
+      description: |
+        If needed, provide a simple code sample that reproduces the problem you ran into. It can be a Colab link or just a code snippet.
+        Sharing error messages or stack traces could be useful as well!
+        Important! Use code tags to correctly format your code. See https://help.github.com/en/github/writing-on-github/creating-and-highlighting-code-blocks#syntax-highlighting
+        Try to avoid screenshots, as they are hard to read and don't allow copy-and-pasting.
+
+      placeholder: |
+        Steps to reproduce the behavior:
+
+          1.
+          2.
+          3.
+
+  - type: textarea
+    id: expected-behavior
+    validations:
+      required: true
+    attributes:
+      label: Expected behavior
+      description: "A clear and concise description of what you would expect to happen."
diff --git a/.github/PULL_REQUEST_TEMPLATE.md b/.github/PULL_REQUEST_TEMPLATE.md
new file mode 100644
index 00000000..5084567b
--- /dev/null
+++ b/.github/PULL_REQUEST_TEMPLATE.md
@@ -0,0 +1,15 @@
+# What does this PR do?
+
+Example: Fixes # (issue)
+
+
+## Before submitting
+- Read the [contributor guideline](https://github.com/huggingface/lerobot/blob/main/CONTRIBUTING.md#submitting-a-pull-request-pr).
+- Provide a minimal code example for the reviewer to checkout & try.
+- Explain how you tested your changes.
+
+
+## Who can review?
+
+Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
+members/contributors who may be interested in your PR. Try to avoid tagging more than 3 people.
diff --git a/.github/poetry/cpu/poetry.lock b/.github/poetry/cpu/poetry.lock
index 98a3d58d..dfd664b4 100644
--- a/.github/poetry/cpu/poetry.lock
+++ b/.github/poetry/cpu/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.1 and should not be changed by hand.
 
 [[package]]
 name = "absl-py"
@@ -11,6 +11,116 @@ files = [
     {file = "absl_py-2.1.0-py3-none-any.whl", hash = "sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308"},
 ]
 
+[[package]]
+name = "aiohttp"
+version = "3.9.4"
+description = "Async http client/server framework (asyncio)"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "aiohttp-3.9.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:76d32588ef7e4a3f3adff1956a0ba96faabbdee58f2407c122dd45aa6e34f372"},
+    {file = "aiohttp-3.9.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:56181093c10dbc6ceb8a29dfeea1e815e1dfdc020169203d87fd8d37616f73f9"},
+    {file = "aiohttp-3.9.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c7a5b676d3c65e88b3aca41816bf72831898fcd73f0cbb2680e9d88e819d1e4d"},
+    {file = "aiohttp-3.9.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d1df528a85fb404899d4207a8d9934cfd6be626e30e5d3a5544a83dbae6d8a7e"},
+    {file = "aiohttp-3.9.4-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f595db1bceabd71c82e92df212dd9525a8a2c6947d39e3c994c4f27d2fe15b11"},
+    {file = "aiohttp-3.9.4-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9c0b09d76e5a4caac3d27752027fbd43dc987b95f3748fad2b924a03fe8632ad"},
+    {file = "aiohttp-3.9.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:689eb4356649ec9535b3686200b231876fb4cab4aca54e3bece71d37f50c1d13"},
+    {file = "aiohttp-3.9.4-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a3666cf4182efdb44d73602379a66f5fdfd5da0db5e4520f0ac0dcca644a3497"},
+    {file = "aiohttp-3.9.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:b65b0f8747b013570eea2f75726046fa54fa8e0c5db60f3b98dd5d161052004a"},
+    {file = "aiohttp-3.9.4-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:a1885d2470955f70dfdd33a02e1749613c5a9c5ab855f6db38e0b9389453dce7"},
+    {file = "aiohttp-3.9.4-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:0593822dcdb9483d41f12041ff7c90d4d1033ec0e880bcfaf102919b715f47f1"},
+    {file = "aiohttp-3.9.4-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:47f6eb74e1ecb5e19a78f4a4228aa24df7fbab3b62d4a625d3f41194a08bd54f"},
+    {file = "aiohttp-3.9.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:c8b04a3dbd54de6ccb7604242fe3ad67f2f3ca558f2d33fe19d4b08d90701a89"},
+    {file = "aiohttp-3.9.4-cp310-cp310-win32.whl", hash = "sha256:8a78dfb198a328bfb38e4308ca8167028920fb747ddcf086ce706fbdd23b2926"},
+    {file = "aiohttp-3.9.4-cp310-cp310-win_amd64.whl", hash = "sha256:e78da6b55275987cbc89141a1d8e75f5070e577c482dd48bd9123a76a96f0bbb"},
+    {file = "aiohttp-3.9.4-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:c111b3c69060d2bafc446917534150fd049e7aedd6cbf21ba526a5a97b4402a5"},
+    {file = "aiohttp-3.9.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:efbdd51872cf170093998c87ccdf3cb5993add3559341a8e5708bcb311934c94"},
+    {file = "aiohttp-3.9.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:7bfdb41dc6e85d8535b00d73947548a748e9534e8e4fddd2638109ff3fb081df"},
+    {file = "aiohttp-3.9.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2bd9d334412961125e9f68d5b73c1d0ab9ea3f74a58a475e6b119f5293eee7ba"},
+    {file = "aiohttp-3.9.4-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:35d78076736f4a668d57ade00c65d30a8ce28719d8a42471b2a06ccd1a2e3063"},
+    {file = "aiohttp-3.9.4-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:824dff4f9f4d0f59d0fa3577932ee9a20e09edec8a2f813e1d6b9f89ced8293f"},
+    {file = "aiohttp-3.9.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:52b8b4e06fc15519019e128abedaeb56412b106ab88b3c452188ca47a25c4093"},
+    {file = "aiohttp-3.9.4-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:eae569fb1e7559d4f3919965617bb39f9e753967fae55ce13454bec2d1c54f09"},
+    {file = "aiohttp-3.9.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:69b97aa5792428f321f72aeb2f118e56893371f27e0b7d05750bcad06fc42ca1"},
+    {file = "aiohttp-3.9.4-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:4d79aad0ad4b980663316f26d9a492e8fab2af77c69c0f33780a56843ad2f89e"},
+    {file = "aiohttp-3.9.4-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:d6577140cd7db19e430661e4b2653680194ea8c22c994bc65b7a19d8ec834403"},
+    {file = "aiohttp-3.9.4-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:9860d455847cd98eb67897f5957b7cd69fbcb436dd3f06099230f16a66e66f79"},
+    {file = "aiohttp-3.9.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:69ff36d3f8f5652994e08bd22f093e11cfd0444cea310f92e01b45a4e46b624e"},
+    {file = "aiohttp-3.9.4-cp311-cp311-win32.whl", hash = "sha256:e27d3b5ed2c2013bce66ad67ee57cbf614288bda8cdf426c8d8fe548316f1b5f"},
+    {file = "aiohttp-3.9.4-cp311-cp311-win_amd64.whl", hash = "sha256:d6a67e26daa686a6fbdb600a9af8619c80a332556245fa8e86c747d226ab1a1e"},
+    {file = "aiohttp-3.9.4-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:c5ff8ff44825736a4065d8544b43b43ee4c6dd1530f3a08e6c0578a813b0aa35"},
+    {file = "aiohttp-3.9.4-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:d12a244627eba4e9dc52cbf924edef905ddd6cafc6513849b4876076a6f38b0e"},
+    {file = "aiohttp-3.9.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:dcad56c8d8348e7e468899d2fb3b309b9bc59d94e6db08710555f7436156097f"},
+    {file = "aiohttp-3.9.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4f7e69a7fd4b5ce419238388e55abd220336bd32212c673ceabc57ccf3d05b55"},
+    {file = "aiohttp-3.9.4-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c4870cb049f10d7680c239b55428916d84158798eb8f353e74fa2c98980dcc0b"},
+    {file = "aiohttp-3.9.4-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3b2feaf1b7031ede1bc0880cec4b0776fd347259a723d625357bb4b82f62687b"},
+    {file = "aiohttp-3.9.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:939393e8c3f0a5bcd33ef7ace67680c318dc2ae406f15e381c0054dd658397de"},
+    {file = "aiohttp-3.9.4-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7d2334e387b2adcc944680bebcf412743f2caf4eeebd550f67249c1c3696be04"},
+    {file = "aiohttp-3.9.4-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:e0198ea897680e480845ec0ffc5a14e8b694e25b3f104f63676d55bf76a82f1a"},
+    {file = "aiohttp-3.9.4-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:e40d2cd22914d67c84824045861a5bb0fb46586b15dfe4f046c7495bf08306b2"},
+    {file = "aiohttp-3.9.4-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:aba80e77c227f4234aa34a5ff2b6ff30c5d6a827a91d22ff6b999de9175d71bd"},
+    {file = "aiohttp-3.9.4-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:fb68dc73bc8ac322d2e392a59a9e396c4f35cb6fdbdd749e139d1d6c985f2527"},
+    {file = "aiohttp-3.9.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:f3460a92638dce7e47062cf088d6e7663adb135e936cb117be88d5e6c48c9d53"},
+    {file = "aiohttp-3.9.4-cp312-cp312-win32.whl", hash = "sha256:32dc814ddbb254f6170bca198fe307920f6c1308a5492f049f7f63554b88ef36"},
+    {file = "aiohttp-3.9.4-cp312-cp312-win_amd64.whl", hash = "sha256:63f41a909d182d2b78fe3abef557fcc14da50c7852f70ae3be60e83ff64edba5"},
+    {file = "aiohttp-3.9.4-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:c3770365675f6be220032f6609a8fbad994d6dcf3ef7dbcf295c7ee70884c9af"},
+    {file = "aiohttp-3.9.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:305edae1dea368ce09bcb858cf5a63a064f3bff4767dec6fa60a0cc0e805a1d3"},
+    {file = "aiohttp-3.9.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:6f121900131d116e4a93b55ab0d12ad72573f967b100e49086e496a9b24523ea"},
+    {file = "aiohttp-3.9.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b71e614c1ae35c3d62a293b19eface83d5e4d194e3eb2fabb10059d33e6e8cbf"},
+    {file = "aiohttp-3.9.4-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:419f009fa4cfde4d16a7fc070d64f36d70a8d35a90d71aa27670bba2be4fd039"},
+    {file = "aiohttp-3.9.4-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7b39476ee69cfe64061fd77a73bf692c40021f8547cda617a3466530ef63f947"},
+    {file = "aiohttp-3.9.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b33f34c9c7decdb2ab99c74be6443942b730b56d9c5ee48fb7df2c86492f293c"},
+    {file = "aiohttp-3.9.4-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c78700130ce2dcebb1a8103202ae795be2fa8c9351d0dd22338fe3dac74847d9"},
+    {file = "aiohttp-3.9.4-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:268ba22d917655d1259af2d5659072b7dc11b4e1dc2cb9662fdd867d75afc6a4"},
+    {file = "aiohttp-3.9.4-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:17e7c051f53a0d2ebf33013a9cbf020bb4e098c4bc5bce6f7b0c962108d97eab"},
+    {file = "aiohttp-3.9.4-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:7be99f4abb008cb38e144f85f515598f4c2c8932bf11b65add0ff59c9c876d99"},
+    {file = "aiohttp-3.9.4-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:d58a54d6ff08d2547656356eea8572b224e6f9bbc0cf55fa9966bcaac4ddfb10"},
+    {file = "aiohttp-3.9.4-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:7673a76772bda15d0d10d1aa881b7911d0580c980dbd16e59d7ba1422b2d83cd"},
+    {file = "aiohttp-3.9.4-cp38-cp38-win32.whl", hash = "sha256:e4370dda04dc8951012f30e1ce7956a0a226ac0714a7b6c389fb2f43f22a250e"},
+    {file = "aiohttp-3.9.4-cp38-cp38-win_amd64.whl", hash = "sha256:eb30c4510a691bb87081192a394fb661860e75ca3896c01c6d186febe7c88530"},
+    {file = "aiohttp-3.9.4-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:84e90494db7df3be5e056f91412f9fa9e611fbe8ce4aaef70647297f5943b276"},
+    {file = "aiohttp-3.9.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:7d4845f8501ab28ebfdbeab980a50a273b415cf69e96e4e674d43d86a464df9d"},
+    {file = "aiohttp-3.9.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:69046cd9a2a17245c4ce3c1f1a4ff8c70c7701ef222fce3d1d8435f09042bba1"},
+    {file = "aiohttp-3.9.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8b73a06bafc8dcc508420db43b4dd5850e41e69de99009d0351c4f3007960019"},
+    {file = "aiohttp-3.9.4-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:418bb0038dfafeac923823c2e63226179976c76f981a2aaad0ad5d51f2229bca"},
+    {file = "aiohttp-3.9.4-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:71a8f241456b6c2668374d5d28398f8e8cdae4cce568aaea54e0f39359cd928d"},
+    {file = "aiohttp-3.9.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:935c369bf8acc2dc26f6eeb5222768aa7c62917c3554f7215f2ead7386b33748"},
+    {file = "aiohttp-3.9.4-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:74e4e48c8752d14ecfb36d2ebb3d76d614320570e14de0a3aa7a726ff150a03c"},
+    {file = "aiohttp-3.9.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:916b0417aeddf2c8c61291238ce25286f391a6acb6f28005dd9ce282bd6311b6"},
+    {file = "aiohttp-3.9.4-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:9b6787b6d0b3518b2ee4cbeadd24a507756ee703adbac1ab6dc7c4434b8c572a"},
+    {file = "aiohttp-3.9.4-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:221204dbda5ef350e8db6287937621cf75e85778b296c9c52260b522231940ed"},
+    {file = "aiohttp-3.9.4-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:10afd99b8251022ddf81eaed1d90f5a988e349ee7d779eb429fb07b670751e8c"},
+    {file = "aiohttp-3.9.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:2506d9f7a9b91033201be9ffe7d89c6a54150b0578803cce5cb84a943d075bc3"},
+    {file = "aiohttp-3.9.4-cp39-cp39-win32.whl", hash = "sha256:e571fdd9efd65e86c6af2f332e0e95dad259bfe6beb5d15b3c3eca3a6eb5d87b"},
+    {file = "aiohttp-3.9.4-cp39-cp39-win_amd64.whl", hash = "sha256:7d29dd5319d20aa3b7749719ac9685fbd926f71ac8c77b2477272725f882072d"},
+    {file = "aiohttp-3.9.4.tar.gz", hash = "sha256:6ff71ede6d9a5a58cfb7b6fffc83ab5d4a63138276c771ac91ceaaddf5459644"},
+]
+
+[package.dependencies]
+aiosignal = ">=1.1.2"
+async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""}
+attrs = ">=17.3.0"
+frozenlist = ">=1.1.1"
+multidict = ">=4.5,<7.0"
+yarl = ">=1.0,<2.0"
+
+[package.extras]
+speedups = ["Brotli", "aiodns", "brotlicffi"]
+
+[[package]]
+name = "aiosignal"
+version = "1.3.1"
+description = "aiosignal: a list of registered asynchronous callbacks"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "aiosignal-1.3.1-py3-none-any.whl", hash = "sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17"},
+    {file = "aiosignal-1.3.1.tar.gz", hash = "sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc"},
+]
+
+[package.dependencies]
+frozenlist = ">=1.1.0"
+
 [[package]]
 name = "antlr4-python3-runtime"
 version = "4.9.3"
@@ -43,59 +153,35 @@ files = [
 ]
 
 [[package]]
-name = "av"
-version = "12.0.0"
-description = "Pythonic bindings for FFmpeg's libraries."
+name = "async-timeout"
+version = "4.0.3"
+description = "Timeout context manager for asyncio programs"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.7"
 files = [
-    {file = "av-12.0.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b9d0890553951f76c479a9f2bb952aebae902b1c7d52feea614d37e1cd728a44"},
-    {file = "av-12.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:5d7f229a253c2e3fea9682c09c5ae179bd6d5d2da38d89eb7f29ef7bed10cb2f"},
-    {file = "av-12.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:61b3555d143aacf02e0446f6030319403538eba4dc713c18dfa653a2a23e7f9c"},
-    {file = "av-12.0.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:607e13b2c2b26159a37525d7b6f647a32ce78711fccff23d146d3e255ffa115f"},
-    {file = "av-12.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:39f0b4cfb89f4f06b339c766f92648e798a96747d4163f2fa78660d1ab1f1b5e"},
-    {file = "av-12.0.0-cp310-cp310-win_amd64.whl", hash = "sha256:41dcb8c269fa58a56edf3a3c814c32a0c69586827f132b4e395a951b0ce14fad"},
-    {file = "av-12.0.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:4fa78fbe0e4469226512380180063116105048c66cb12e18ab4b518466c57e6c"},
-    {file = "av-12.0.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:60a869be1d6af916e65ea461cb93922f5db0698655ed7a7eae7c3ecd4af4debb"},
-    {file = "av-12.0.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:df61811cc551c186f0a0e530d97b8b139453534d0f92c1790a923f666522ceda"},
-    {file = "av-12.0.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:99cd2fc53091ebfb9a2fa9dd3580267f5bd1c040d0efd99fbc1a162576b271cb"},
-    {file = "av-12.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7a6d4f1e261df48932128e6495772faa4cc23f5dd1512eec73daab82ad9f3240"},
-    {file = "av-12.0.0-cp311-cp311-win_amd64.whl", hash = "sha256:6aec88e41a498b1e01e2dce5371557e20f9a51aae0c16decc5924ec0be2e22b6"},
-    {file = "av-12.0.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:90eb8f2d548e96cbc6f78e89c911cdb15a3d80fd944f31111660ce45939cd037"},
-    {file = "av-12.0.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:d7f3a02910e77d750dbd516256a16db15030e5371530ff5a5ae902dc03d9005d"},
-    {file = "av-12.0.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e2477cc51526aa50575313d66e5e8ad7ab944588469be5e557b360ed572ae536"},
-    {file = "av-12.0.0-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a2f47149d3ca6deb79f3e515b8bef50e27ebdb160813e6d67dba77278d2a7883"},
-    {file = "av-12.0.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3306e4a3ce8b5bfcc3075793d4ed3a2df69179d8fba22cb944a6164dc235dfb6"},
-    {file = "av-12.0.0-cp312-cp312-win_amd64.whl", hash = "sha256:dc1b742e7f6df1b499fb960bd6697d1dd8e7ada7484a041a8c20e70a87225f53"},
-    {file = "av-12.0.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:0183be6889e835e1b074b4037bfce4fd44671c606cf1c4ab92ea2f271b544aec"},
-    {file = "av-12.0.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:57337f20b208292ec8d3b11e4d289d8688a43d728174850a81b865d3253fff2c"},
-    {file = "av-12.0.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0ec915e8f6521545a38566eefc281042ee504ea3cee0618d8558e4920588b3b2"},
-    {file = "av-12.0.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:33ad5c0a23c45b72bd6bd47f3b2c1adcd2935ee3d0b6178ed66bba62b964ff31"},
-    {file = "av-12.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bfc3a652b12c93120514d56cf025da47442c5ba51530cdf7ba3660257dbb0de1"},
-    {file = "av-12.0.0-cp38-cp38-win_amd64.whl", hash = "sha256:037f793dd1ef4a1f57f090191a7f803ad10ec82da0d04ea26bbe0b8a145fe927"},
-    {file = "av-12.0.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:fc532376aa264722fae55063abd1871d17a563dc895978e142c8ecfcdeb3a2e8"},
-    {file = "av-12.0.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:abf0c4bc40a0af8a30f4cd96f3be6f19fbce0f21222d7fcec148e085127153f7"},
-    {file = "av-12.0.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:81cedd1c072fbebf606724c406b1a1b00adc711f1dfd2bc04c633ce39d8439d8"},
-    {file = "av-12.0.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:02d60f48be9f15dcda37d50f3ce8d7249d9a455643d4322dd3449986bacfc628"},
-    {file = "av-12.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5d2619e4c26d661eecfc404f7d739d8b35f0dcef353fabe61512e030254b7031"},
-    {file = "av-12.0.0-cp39-cp39-win_amd64.whl", hash = "sha256:1892cc91c888d101777d5432d54e0554c11d1c3a2c65d02a2cae0a2256a8fbb9"},
-    {file = "av-12.0.0-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:4819e3ef6c3a44ef6f75907229133a1ee7f688245b2cf49b6b8e969a81ca72c9"},
-    {file = "av-12.0.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bb16bb314cf1503b0250fc46b2c455ee196584231101be0123f4f78638227b62"},
-    {file = "av-12.0.0-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f3e6a62bda9a1e144feeb59bbee046d7a2d98399634a30f57e4990197313c158"},
-    {file = "av-12.0.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e08175ffbafa3a70c7b2f81083e160e34122a208cdf70f150b8f5d02c2de6965"},
-    {file = "av-12.0.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:e1d255be317b7c1ebdc4dae98935b9f3869161112dc829c625e54f90d8bdd7ab"},
-    {file = "av-12.0.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:17964b36e08435910aabd5b3f7dca12f99536902529767d276026bc08f94ced7"},
-    {file = "av-12.0.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d2d5f78de29edee06ddcdd4c2b759914575492d6a0cd4de2ce31ee63a4953eff"},
-    {file = "av-12.0.0-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:309b32bc97158d0f0c19e273b8e17a855a86806b7194aebc23bd497326cff11f"},
-    {file = "av-12.0.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c409c71bd9c7c2f8d018c822f36b1447cfa96eca158381a96f3319bb0ff6e79e"},
-    {file = "av-12.0.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:08fc5eaef60a257d622998626e233bf3ff90d2f817f6695d6a27e0ffcfe9dcff"},
-    {file = "av-12.0.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:746ab0eff8a7a21a6c6d16e6b6e61709527eba2ad1a524d92a01bb60d02a3df7"},
-    {file = "av-12.0.0-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:013b3ac3de3aa1c137af0cedafd364fd1c7524ab3e1cd53e04564fd1632ac04d"},
-    {file = "av-12.0.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0fa55923527648f51ac005e44fe2797ebc67f53ad4850e0194d3753761ee33a2"},
-    {file = "av-12.0.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:35d514f4dee0cf67e9e6b2a65fb4a28f98da88e71e8c7f7960bd04625d9fe965"},
-    {file = "av-12.0.0.tar.gz", hash = "sha256:bcf21ebb722d4538b4099e5a78f730d78814dd70003511c185941dba5651b14d"},
+    {file = "async-timeout-4.0.3.tar.gz", hash = "sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f"},
+    {file = "async_timeout-4.0.3-py3-none-any.whl", hash = "sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028"},
 ]
 
+[[package]]
+name = "attrs"
+version = "23.2.0"
+description = "Classes Without Boilerplate"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "attrs-23.2.0-py3-none-any.whl", hash = "sha256:99b87a485a5820b23b879f04c2305b44b951b502fd64be915879d77a7e8fc6f1"},
+    {file = "attrs-23.2.0.tar.gz", hash = "sha256:935dc3b529c262f6cf76e50877d35a4bd3c1de194fd41f47a2b7ae8f19971f30"},
+]
+
+[package.extras]
+cov = ["attrs[tests]", "coverage[toml] (>=5.3)"]
+dev = ["attrs[tests]", "pre-commit"]
+docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
+tests = ["attrs[tests-no-zope]", "zope-interface"]
+tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"]
+tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"]
+
 [[package]]
 name = "beautifulsoup4"
 version = "4.12.3"
@@ -196,7 +282,7 @@ pycparser = "*"
 name = "cfgv"
 version = "3.4.0"
 description = "Validate configuration and produce human readable error messages."
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
     {file = "cfgv-3.4.0-py2.py3-none-any.whl", hash = "sha256:b7265b1f29fd3316bfcd2b330d63d024f2bfd8bcb8b0272f8e19a504856c48f9"},
@@ -371,7 +457,7 @@ files = [
 name = "coverage"
 version = "7.4.4"
 description = "Code coverage measurement for Python"
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
     {file = "coverage-7.4.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e0be5efd5127542ef31f165de269f77560d6cdef525fffa446de6f7e9186cfb2"},
@@ -434,11 +520,55 @@ tomli = {version = "*", optional = true, markers = "python_full_version <= \"3.1
 [package.extras]
 toml = ["tomli"]
 
+[[package]]
+name = "datasets"
+version = "2.18.0"
+description = "HuggingFace community-driven open-source library of datasets"
+optional = false
+python-versions = ">=3.8.0"
+files = [
+    {file = "datasets-2.18.0-py3-none-any.whl", hash = "sha256:f1bbf0e2896917a914de01cbd37075b14deea3837af87ad0d9f697388ccaeb50"},
+    {file = "datasets-2.18.0.tar.gz", hash = "sha256:cdf8b8c6abf7316377ba4f49f9589a4c74556d6b481afd0abd2284f3d69185cb"},
+]
+
+[package.dependencies]
+aiohttp = "*"
+dill = ">=0.3.0,<0.3.9"
+filelock = "*"
+fsspec = {version = ">=2023.1.0,<=2024.2.0", extras = ["http"]}
+huggingface-hub = ">=0.19.4"
+multiprocess = "*"
+numpy = ">=1.17"
+packaging = "*"
+pandas = "*"
+pyarrow = ">=12.0.0"
+pyarrow-hotfix = "*"
+pyyaml = ">=5.1"
+requests = ">=2.19.0"
+tqdm = ">=4.62.1"
+xxhash = "*"
+
+[package.extras]
+apache-beam = ["apache-beam (>=2.26.0)"]
+audio = ["librosa", "soundfile (>=0.12.1)"]
+benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"]
+dev = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "torch (>=2.0.0)", "transformers", "typing-extensions (>=4.6.1)", "zstandard"]
+docs = ["s3fs", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow-macos", "torch", "transformers"]
+jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"]
+metrics-tests = ["Werkzeug (>=1.0.1)", "accelerate", "bert-score (>=0.3.6)", "jiwer", "langdetect", "mauve-text", "nltk", "requests-file (>=1.5.1)", "rouge-score", "sacrebleu", "sacremoses", "scikit-learn", "scipy", "sentencepiece", "seqeval", "six (>=1.15.0,<1.16.0)", "spacy (>=3.0.0)", "texttable (>=1.6.3)", "tldextract", "tldextract (>=3.1.0)", "toml (>=0.10.1)", "typer (<0.5.0)"]
+quality = ["ruff (>=0.3.0)"]
+s3 = ["s3fs"]
+tensorflow = ["tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow-macos"]
+tensorflow-gpu = ["tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)"]
+tests = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch (>=2.0.0)", "transformers", "typing-extensions (>=4.6.1)", "zstandard"]
+torch = ["torch"]
+vision = ["Pillow (>=6.2.1)"]
+
 [[package]]
 name = "debugpy"
 version = "1.8.1"
 description = "An implementation of the Debug Adapter Protocol for Python"
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
     {file = "debugpy-1.8.1-cp310-cp310-macosx_11_0_x86_64.whl", hash = "sha256:3bda0f1e943d386cc7a0e71bfa59f4137909e2ed947fb3946c506e113000f741"},
@@ -465,17 +595,6 @@ files = [
     {file = "debugpy-1.8.1.zip", hash = "sha256:f696d6be15be87aef621917585f9bb94b1dc9e8aced570db1b8a6fc14e8f9b42"},
 ]
 
-[[package]]
-name = "decorator"
-version = "4.4.2"
-description = "Decorators for Humans"
-optional = false
-python-versions = ">=2.6, !=3.0.*, !=3.1.*"
-files = [
-    {file = "decorator-4.4.2-py2.py3-none-any.whl", hash = "sha256:41fa54c2a0cc4ba648be4fd43cff00aedf5b9465c9bf18d64325bc225f08f760"},
-    {file = "decorator-4.4.2.tar.gz", hash = "sha256:e3a62f0520172440ca0dcc823749319382e377f37f140a0b99ef45fecb84bfe7"},
-]
-
 [[package]]
 name = "diffusers"
 version = "0.26.3"
@@ -506,11 +625,26 @@ test = ["GitPython (<3.1.19)", "Jinja2", "compel (==0.1.8)", "datasets", "invisi
 torch = ["accelerate (>=0.11.0)", "torch (>=1.4,<2.2.0)"]
 training = ["Jinja2", "accelerate (>=0.11.0)", "datasets", "peft (>=0.6.0)", "protobuf (>=3.20.3,<4)", "tensorboard"]
 
+[[package]]
+name = "dill"
+version = "0.3.8"
+description = "serialize all of Python"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "dill-0.3.8-py3-none-any.whl", hash = "sha256:c36ca9ffb54365bdd2f8eb3eff7d2a21237f8452b57ace88b1ac615b7e815bd7"},
+    {file = "dill-0.3.8.tar.gz", hash = "sha256:3ebe3c479ad625c4553aca177444d89b486b1d84982eeacded644afc0cf797ca"},
+]
+
+[package.extras]
+graph = ["objgraph (>=1.7.2)"]
+profile = ["gprof2dot (>=2022.7.29)"]
+
 [[package]]
 name = "distlib"
 version = "0.3.8"
 description = "Distribution utilities"
-optional = false
+optional = true
 python-versions = "*"
 files = [
     {file = "distlib-0.3.8-py2.py3-none-any.whl", hash = "sha256:034db59a0b96f8ca18035f36290806a9a6e6bd9d1ff91e45a7f172eb17e51784"},
@@ -658,7 +792,7 @@ files = [
 name = "exceptiongroup"
 version = "1.2.0"
 description = "Backport of PEP 654 (exception groups)"
-optional = false
+optional = true
 python-versions = ">=3.7"
 files = [
     {file = "exceptiongroup-1.2.0-py3-none-any.whl", hash = "sha256:4bfd3996ac73b41e9b9628b04e079f193850720ea5945fc96a08633c66912f14"},
@@ -706,17 +840,106 @@ docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1
 testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)"]
 typing = ["typing-extensions (>=4.8)"]
 
+[[package]]
+name = "frozenlist"
+version = "1.4.1"
+description = "A list-like structure which implements collections.abc.MutableSequence"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "frozenlist-1.4.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:f9aa1878d1083b276b0196f2dfbe00c9b7e752475ed3b682025ff20c1c1f51ac"},
+    {file = "frozenlist-1.4.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:29acab3f66f0f24674b7dc4736477bcd4bc3ad4b896f5f45379a67bce8b96868"},
+    {file = "frozenlist-1.4.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:74fb4bee6880b529a0c6560885fce4dc95936920f9f20f53d99a213f7bf66776"},
+    {file = "frozenlist-1.4.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:590344787a90ae57d62511dd7c736ed56b428f04cd8c161fcc5e7232c130c69a"},
+    {file = "frozenlist-1.4.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:068b63f23b17df8569b7fdca5517edef76171cf3897eb68beb01341131fbd2ad"},
+    {file = "frozenlist-1.4.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5c849d495bf5154cd8da18a9eb15db127d4dba2968d88831aff6f0331ea9bd4c"},
+    {file = "frozenlist-1.4.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9750cc7fe1ae3b1611bb8cfc3f9ec11d532244235d75901fb6b8e42ce9229dfe"},
+    {file = "frozenlist-1.4.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a9b2de4cf0cdd5bd2dee4c4f63a653c61d2408055ab77b151c1957f221cabf2a"},
+    {file = "frozenlist-1.4.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:0633c8d5337cb5c77acbccc6357ac49a1770b8c487e5b3505c57b949b4b82e98"},
+    {file = "frozenlist-1.4.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:27657df69e8801be6c3638054e202a135c7f299267f1a55ed3a598934f6c0d75"},
+    {file = "frozenlist-1.4.1-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:f9a3ea26252bd92f570600098783d1371354d89d5f6b7dfd87359d669f2109b5"},
+    {file = "frozenlist-1.4.1-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:4f57dab5fe3407b6c0c1cc907ac98e8a189f9e418f3b6e54d65a718aaafe3950"},
+    {file = "frozenlist-1.4.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:e02a0e11cf6597299b9f3bbd3f93d79217cb90cfd1411aec33848b13f5c656cc"},
+    {file = "frozenlist-1.4.1-cp310-cp310-win32.whl", hash = "sha256:a828c57f00f729620a442881cc60e57cfcec6842ba38e1b19fd3e47ac0ff8dc1"},
+    {file = "frozenlist-1.4.1-cp310-cp310-win_amd64.whl", hash = "sha256:f56e2333dda1fe0f909e7cc59f021eba0d2307bc6f012a1ccf2beca6ba362439"},
+    {file = "frozenlist-1.4.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:a0cb6f11204443f27a1628b0e460f37fb30f624be6051d490fa7d7e26d4af3d0"},
+    {file = "frozenlist-1.4.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b46c8ae3a8f1f41a0d2ef350c0b6e65822d80772fe46b653ab6b6274f61d4a49"},
+    {file = "frozenlist-1.4.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:fde5bd59ab5357e3853313127f4d3565fc7dad314a74d7b5d43c22c6a5ed2ced"},
+    {file = "frozenlist-1.4.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:722e1124aec435320ae01ee3ac7bec11a5d47f25d0ed6328f2273d287bc3abb0"},
+    {file = "frozenlist-1.4.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2471c201b70d58a0f0c1f91261542a03d9a5e088ed3dc6c160d614c01649c106"},
+    {file = "frozenlist-1.4.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c757a9dd70d72b076d6f68efdbb9bc943665ae954dad2801b874c8c69e185068"},
+    {file = "frozenlist-1.4.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f146e0911cb2f1da549fc58fc7bcd2b836a44b79ef871980d605ec392ff6b0d2"},
+    {file = "frozenlist-1.4.1-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4f9c515e7914626b2a2e1e311794b4c35720a0be87af52b79ff8e1429fc25f19"},
+    {file = "frozenlist-1.4.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:c302220494f5c1ebeb0912ea782bcd5e2f8308037b3c7553fad0e48ebad6ad82"},
+    {file = "frozenlist-1.4.1-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:442acde1e068288a4ba7acfe05f5f343e19fac87bfc96d89eb886b0363e977ec"},
+    {file = "frozenlist-1.4.1-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:1b280e6507ea8a4fa0c0a7150b4e526a8d113989e28eaaef946cc77ffd7efc0a"},
+    {file = "frozenlist-1.4.1-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:fe1a06da377e3a1062ae5fe0926e12b84eceb8a50b350ddca72dc85015873f74"},
+    {file = "frozenlist-1.4.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:db9e724bebd621d9beca794f2a4ff1d26eed5965b004a97f1f1685a173b869c2"},
+    {file = "frozenlist-1.4.1-cp311-cp311-win32.whl", hash = "sha256:e774d53b1a477a67838a904131c4b0eef6b3d8a651f8b138b04f748fccfefe17"},
+    {file = "frozenlist-1.4.1-cp311-cp311-win_amd64.whl", hash = "sha256:fb3c2db03683b5767dedb5769b8a40ebb47d6f7f45b1b3e3b4b51ec8ad9d9825"},
+    {file = "frozenlist-1.4.1-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:1979bc0aeb89b33b588c51c54ab0161791149f2461ea7c7c946d95d5f93b56ae"},
+    {file = "frozenlist-1.4.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:cc7b01b3754ea68a62bd77ce6020afaffb44a590c2289089289363472d13aedb"},
+    {file = "frozenlist-1.4.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:c9c92be9fd329ac801cc420e08452b70e7aeab94ea4233a4804f0915c14eba9b"},
+    {file = "frozenlist-1.4.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5c3894db91f5a489fc8fa6a9991820f368f0b3cbdb9cd8849547ccfab3392d86"},
+    {file = "frozenlist-1.4.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ba60bb19387e13597fb059f32cd4d59445d7b18b69a745b8f8e5db0346f33480"},
+    {file = "frozenlist-1.4.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8aefbba5f69d42246543407ed2461db31006b0f76c4e32dfd6f42215a2c41d09"},
+    {file = "frozenlist-1.4.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:780d3a35680ced9ce682fbcf4cb9c2bad3136eeff760ab33707b71db84664e3a"},
+    {file = "frozenlist-1.4.1-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9acbb16f06fe7f52f441bb6f413ebae6c37baa6ef9edd49cdd567216da8600cd"},
+    {file = "frozenlist-1.4.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:23b701e65c7b36e4bf15546a89279bd4d8675faabc287d06bbcfac7d3c33e1e6"},
+    {file = "frozenlist-1.4.1-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:3e0153a805a98f5ada7e09826255ba99fb4f7524bb81bf6b47fb702666484ae1"},
+    {file = "frozenlist-1.4.1-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:dd9b1baec094d91bf36ec729445f7769d0d0cf6b64d04d86e45baf89e2b9059b"},
+    {file = "frozenlist-1.4.1-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:1a4471094e146b6790f61b98616ab8e44f72661879cc63fa1049d13ef711e71e"},
+    {file = "frozenlist-1.4.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:5667ed53d68d91920defdf4035d1cdaa3c3121dc0b113255124bcfada1cfa1b8"},
+    {file = "frozenlist-1.4.1-cp312-cp312-win32.whl", hash = "sha256:beee944ae828747fd7cb216a70f120767fc9f4f00bacae8543c14a6831673f89"},
+    {file = "frozenlist-1.4.1-cp312-cp312-win_amd64.whl", hash = "sha256:64536573d0a2cb6e625cf309984e2d873979709f2cf22839bf2d61790b448ad5"},
+    {file = "frozenlist-1.4.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:20b51fa3f588ff2fe658663db52a41a4f7aa6c04f6201449c6c7c476bd255c0d"},
+    {file = "frozenlist-1.4.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:410478a0c562d1a5bcc2f7ea448359fcb050ed48b3c6f6f4f18c313a9bdb1826"},
+    {file = "frozenlist-1.4.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:c6321c9efe29975232da3bd0af0ad216800a47e93d763ce64f291917a381b8eb"},
+    {file = "frozenlist-1.4.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:48f6a4533887e189dae092f1cf981f2e3885175f7a0f33c91fb5b7b682b6bab6"},
+    {file = "frozenlist-1.4.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6eb73fa5426ea69ee0e012fb59cdc76a15b1283d6e32e4f8dc4482ec67d1194d"},
+    {file = "frozenlist-1.4.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:fbeb989b5cc29e8daf7f976b421c220f1b8c731cbf22b9130d8815418ea45887"},
+    {file = "frozenlist-1.4.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:32453c1de775c889eb4e22f1197fe3bdfe457d16476ea407472b9442e6295f7a"},
+    {file = "frozenlist-1.4.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:693945278a31f2086d9bf3df0fe8254bbeaef1fe71e1351c3bd730aa7d31c41b"},
+    {file = "frozenlist-1.4.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:1d0ce09d36d53bbbe566fe296965b23b961764c0bcf3ce2fa45f463745c04701"},
+    {file = "frozenlist-1.4.1-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:3a670dc61eb0d0eb7080890c13de3066790f9049b47b0de04007090807c776b0"},
+    {file = "frozenlist-1.4.1-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:dca69045298ce5c11fd539682cff879cc1e664c245d1c64da929813e54241d11"},
+    {file = "frozenlist-1.4.1-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:a06339f38e9ed3a64e4c4e43aec7f59084033647f908e4259d279a52d3757d09"},
+    {file = "frozenlist-1.4.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:b7f2f9f912dca3934c1baec2e4585a674ef16fe00218d833856408c48d5beee7"},
+    {file = "frozenlist-1.4.1-cp38-cp38-win32.whl", hash = "sha256:e7004be74cbb7d9f34553a5ce5fb08be14fb33bc86f332fb71cbe5216362a497"},
+    {file = "frozenlist-1.4.1-cp38-cp38-win_amd64.whl", hash = "sha256:5a7d70357e7cee13f470c7883a063aae5fe209a493c57d86eb7f5a6f910fae09"},
+    {file = "frozenlist-1.4.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:bfa4a17e17ce9abf47a74ae02f32d014c5e9404b6d9ac7f729e01562bbee601e"},
+    {file = "frozenlist-1.4.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:b7e3ed87d4138356775346e6845cccbe66cd9e207f3cd11d2f0b9fd13681359d"},
+    {file = "frozenlist-1.4.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:c99169d4ff810155ca50b4da3b075cbde79752443117d89429595c2e8e37fed8"},
+    {file = "frozenlist-1.4.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:edb678da49d9f72c9f6c609fbe41a5dfb9a9282f9e6a2253d5a91e0fc382d7c0"},
+    {file = "frozenlist-1.4.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6db4667b187a6742b33afbbaf05a7bc551ffcf1ced0000a571aedbb4aa42fc7b"},
+    {file = "frozenlist-1.4.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:55fdc093b5a3cb41d420884cdaf37a1e74c3c37a31f46e66286d9145d2063bd0"},
+    {file = "frozenlist-1.4.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:82e8211d69a4f4bc360ea22cd6555f8e61a1bd211d1d5d39d3d228b48c83a897"},
+    {file = "frozenlist-1.4.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:89aa2c2eeb20957be2d950b85974b30a01a762f3308cd02bb15e1ad632e22dc7"},
+    {file = "frozenlist-1.4.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:9d3e0c25a2350080e9319724dede4f31f43a6c9779be48021a7f4ebde8b2d742"},
+    {file = "frozenlist-1.4.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:7268252af60904bf52c26173cbadc3a071cece75f873705419c8681f24d3edea"},
+    {file = "frozenlist-1.4.1-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:0c250a29735d4f15321007fb02865f0e6b6a41a6b88f1f523ca1596ab5f50bd5"},
+    {file = "frozenlist-1.4.1-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:96ec70beabbd3b10e8bfe52616a13561e58fe84c0101dd031dc78f250d5128b9"},
+    {file = "frozenlist-1.4.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:23b2d7679b73fe0e5a4560b672a39f98dfc6f60df63823b0a9970525325b95f6"},
+    {file = "frozenlist-1.4.1-cp39-cp39-win32.whl", hash = "sha256:a7496bfe1da7fb1a4e1cc23bb67c58fab69311cc7d32b5a99c2007b4b2a0e932"},
+    {file = "frozenlist-1.4.1-cp39-cp39-win_amd64.whl", hash = "sha256:e6a20a581f9ce92d389a8c7d7c3dd47c81fd5d6e655c8dddf341e14aa48659d0"},
+    {file = "frozenlist-1.4.1-py3-none-any.whl", hash = "sha256:04ced3e6a46b4cfffe20f9ae482818e34eba9b5fb0ce4056e4cc9b6e212d09b7"},
+    {file = "frozenlist-1.4.1.tar.gz", hash = "sha256:c037a86e8513059a2613aaba4d817bb90b9d9b6b69aace3ce9c877e8c8ed402b"},
+]
+
 [[package]]
 name = "fsspec"
-version = "2024.3.1"
+version = "2024.2.0"
 description = "File-system specification"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "fsspec-2024.3.1-py3-none-any.whl", hash = "sha256:918d18d41bf73f0e2b261824baeb1b124bcf771767e3a26425cd7dec3332f512"},
-    {file = "fsspec-2024.3.1.tar.gz", hash = "sha256:f39780e282d7d117ffb42bb96992f8a90795e4d0fb0f661a70ca39fe9c43ded9"},
+    {file = "fsspec-2024.2.0-py3-none-any.whl", hash = "sha256:817f969556fa5916bc682e02ca2045f96ff7f586d45110fcb76022063ad2c7d8"},
+    {file = "fsspec-2024.2.0.tar.gz", hash = "sha256:b6ad1a679f760dda52b1168c859d01b7b80648ea6f7f7c7f5a8a91dc3f3ecb84"},
 ]
 
+[package.dependencies]
+aiohttp = {version = "<4.0.0a0 || >4.0.0a0,<4.0.0a1 || >4.0.0a1", optional = true, markers = "extra == \"http\""}
+
 [package.extras]
 abfs = ["adlfs"]
 adl = ["adlfs"]
@@ -1085,7 +1308,7 @@ packaging = "*"
 name = "identify"
 version = "2.5.35"
 description = "File identification library for Python"
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
     {file = "identify-2.5.35-py2.py3-none-any.whl", hash = "sha256:c4de0081837b211594f8e877a6b4fad7ca32bbfc1a9307fdd61c28bfe923f13e"},
@@ -1118,9 +1341,10 @@ files = [
 ]
 
 [package.dependencies]
-av = {version = "*", optional = true, markers = "extra == \"pyav\""}
+imageio-ffmpeg = {version = "*", optional = true, markers = "extra == \"ffmpeg\""}
 numpy = "*"
 pillow = ">=8.3.2"
+psutil = {version = "*", optional = true, markers = "extra == \"ffmpeg\""}
 
 [package.extras]
 all-plugins = ["astropy", "av", "imageio-ffmpeg", "pillow-heif", "psutil", "tifffile"]
@@ -1180,7 +1404,7 @@ testing = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)",
 name = "iniconfig"
 version = "2.0.0"
 description = "brain-dead simple config-ini parsing"
-optional = false
+optional = true
 python-versions = ">=3.7"
 files = [
     {file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
@@ -1470,30 +1694,6 @@ files = [
     {file = "MarkupSafe-2.1.5.tar.gz", hash = "sha256:d283d37a890ba4c1ae73ffadf8046435c76e7bc2247bbb63c00bd1a709c6544b"},
 ]
 
-[[package]]
-name = "moviepy"
-version = "1.0.3"
-description = "Video editing with Python"
-optional = false
-python-versions = "*"
-files = [
-    {file = "moviepy-1.0.3.tar.gz", hash = "sha256:2884e35d1788077db3ff89e763c5ba7bfddbd7ae9108c9bc809e7ba58fa433f5"},
-]
-
-[package.dependencies]
-decorator = ">=4.0.2,<5.0"
-imageio = {version = ">=2.5,<3.0", markers = "python_version >= \"3.4\""}
-imageio_ffmpeg = {version = ">=0.2.0", markers = "python_version >= \"3.4\""}
-numpy = {version = ">=1.17.3", markers = "python_version > \"2.7\""}
-proglog = "<=1.0.0"
-requests = ">=2.8.1,<3.0"
-tqdm = ">=4.11.2,<5.0"
-
-[package.extras]
-doc = ["Sphinx (>=1.5.2,<2.0)", "numpydoc (>=0.6.0,<1.0)", "pygame (>=1.9.3,<2.0)", "sphinx_rtd_theme (>=0.1.10b0,<1.0)"]
-optional = ["matplotlib (>=2.0.0,<3.0)", "opencv-python (>=3.0,<4.0)", "scikit-image (>=0.13.0,<1.0)", "scikit-learn", "scipy (>=0.19.0,<1.5)", "youtube_dl"]
-test = ["coverage (<5.0)", "coveralls (>=1.1,<2.0)", "pytest (>=3.0.0,<4.0)", "pytest-cov (>=2.5.1,<3.0)", "requests (>=2.8.1,<3.0)"]
-
 [[package]]
 name = "mpmath"
 version = "1.3.0"
@@ -1551,6 +1751,129 @@ glfw = "*"
 numpy = "*"
 pyopengl = "*"
 
+[[package]]
+name = "multidict"
+version = "6.0.5"
+description = "multidict implementation"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "multidict-6.0.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:228b644ae063c10e7f324ab1ab6b548bdf6f8b47f3ec234fef1093bc2735e5f9"},
+    {file = "multidict-6.0.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:896ebdcf62683551312c30e20614305f53125750803b614e9e6ce74a96232604"},
+    {file = "multidict-6.0.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:411bf8515f3be9813d06004cac41ccf7d1cd46dfe233705933dd163b60e37600"},
+    {file = "multidict-6.0.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1d147090048129ce3c453f0292e7697d333db95e52616b3793922945804a433c"},
+    {file = "multidict-6.0.5-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:215ed703caf15f578dca76ee6f6b21b7603791ae090fbf1ef9d865571039ade5"},
+    {file = "multidict-6.0.5-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7c6390cf87ff6234643428991b7359b5f59cc15155695deb4eda5c777d2b880f"},
+    {file = "multidict-6.0.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:21fd81c4ebdb4f214161be351eb5bcf385426bf023041da2fd9e60681f3cebae"},
+    {file = "multidict-6.0.5-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3cc2ad10255f903656017363cd59436f2111443a76f996584d1077e43ee51182"},
+    {file = "multidict-6.0.5-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:6939c95381e003f54cd4c5516740faba40cf5ad3eeff460c3ad1d3e0ea2549bf"},
+    {file = "multidict-6.0.5-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:220dd781e3f7af2c2c1053da9fa96d9cf3072ca58f057f4c5adaaa1cab8fc442"},
+    {file = "multidict-6.0.5-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:766c8f7511df26d9f11cd3a8be623e59cca73d44643abab3f8c8c07620524e4a"},
+    {file = "multidict-6.0.5-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:fe5d7785250541f7f5019ab9cba2c71169dc7d74d0f45253f8313f436458a4ef"},
+    {file = "multidict-6.0.5-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:c1c1496e73051918fcd4f58ff2e0f2f3066d1c76a0c6aeffd9b45d53243702cc"},
+    {file = "multidict-6.0.5-cp310-cp310-win32.whl", hash = "sha256:7afcdd1fc07befad18ec4523a782cde4e93e0a2bf71239894b8d61ee578c1319"},
+    {file = "multidict-6.0.5-cp310-cp310-win_amd64.whl", hash = "sha256:99f60d34c048c5c2fabc766108c103612344c46e35d4ed9ae0673d33c8fb26e8"},
+    {file = "multidict-6.0.5-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:f285e862d2f153a70586579c15c44656f888806ed0e5b56b64489afe4a2dbfba"},
+    {file = "multidict-6.0.5-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:53689bb4e102200a4fafa9de9c7c3c212ab40a7ab2c8e474491914d2305f187e"},
+    {file = "multidict-6.0.5-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:612d1156111ae11d14afaf3a0669ebf6c170dbb735e510a7438ffe2369a847fd"},
+    {file = "multidict-6.0.5-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7be7047bd08accdb7487737631d25735c9a04327911de89ff1b26b81745bd4e3"},
+    {file = "multidict-6.0.5-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:de170c7b4fe6859beb8926e84f7d7d6c693dfe8e27372ce3b76f01c46e489fcf"},
+    {file = "multidict-6.0.5-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:04bde7a7b3de05732a4eb39c94574db1ec99abb56162d6c520ad26f83267de29"},
+    {file = "multidict-6.0.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:85f67aed7bb647f93e7520633d8f51d3cbc6ab96957c71272b286b2f30dc70ed"},
+    {file = "multidict-6.0.5-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:425bf820055005bfc8aa9a0b99ccb52cc2f4070153e34b701acc98d201693733"},
+    {file = "multidict-6.0.5-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:d3eb1ceec286eba8220c26f3b0096cf189aea7057b6e7b7a2e60ed36b373b77f"},
+    {file = "multidict-6.0.5-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:7901c05ead4b3fb75113fb1dd33eb1253c6d3ee37ce93305acd9d38e0b5f21a4"},
+    {file = "multidict-6.0.5-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:e0e79d91e71b9867c73323a3444724d496c037e578a0e1755ae159ba14f4f3d1"},
+    {file = "multidict-6.0.5-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:29bfeb0dff5cb5fdab2023a7a9947b3b4af63e9c47cae2a10ad58394b517fddc"},
+    {file = "multidict-6.0.5-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:e030047e85cbcedbfc073f71836d62dd5dadfbe7531cae27789ff66bc551bd5e"},
+    {file = "multidict-6.0.5-cp311-cp311-win32.whl", hash = "sha256:2f4848aa3baa109e6ab81fe2006c77ed4d3cd1e0ac2c1fbddb7b1277c168788c"},
+    {file = "multidict-6.0.5-cp311-cp311-win_amd64.whl", hash = "sha256:2faa5ae9376faba05f630d7e5e6be05be22913782b927b19d12b8145968a85ea"},
+    {file = "multidict-6.0.5-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:51d035609b86722963404f711db441cf7134f1889107fb171a970c9701f92e1e"},
+    {file = "multidict-6.0.5-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:cbebcd5bcaf1eaf302617c114aa67569dd3f090dd0ce8ba9e35e9985b41ac35b"},
+    {file = "multidict-6.0.5-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:2ffc42c922dbfddb4a4c3b438eb056828719f07608af27d163191cb3e3aa6cc5"},
+    {file = "multidict-6.0.5-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ceb3b7e6a0135e092de86110c5a74e46bda4bd4fbfeeb3a3bcec79c0f861e450"},
+    {file = "multidict-6.0.5-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:79660376075cfd4b2c80f295528aa6beb2058fd289f4c9252f986751a4cd0496"},
+    {file = "multidict-6.0.5-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e4428b29611e989719874670fd152b6625500ad6c686d464e99f5aaeeaca175a"},
+    {file = "multidict-6.0.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d84a5c3a5f7ce6db1f999fb9438f686bc2e09d38143f2d93d8406ed2dd6b9226"},
+    {file = "multidict-6.0.5-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:76c0de87358b192de7ea9649beb392f107dcad9ad27276324c24c91774ca5271"},
+    {file = "multidict-6.0.5-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:79a6d2ba910adb2cbafc95dad936f8b9386e77c84c35bc0add315b856d7c3abb"},
+    {file = "multidict-6.0.5-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:92d16a3e275e38293623ebf639c471d3e03bb20b8ebb845237e0d3664914caef"},
+    {file = "multidict-6.0.5-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:fb616be3538599e797a2017cccca78e354c767165e8858ab5116813146041a24"},
+    {file = "multidict-6.0.5-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:14c2976aa9038c2629efa2c148022ed5eb4cb939e15ec7aace7ca932f48f9ba6"},
+    {file = "multidict-6.0.5-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:435a0984199d81ca178b9ae2c26ec3d49692d20ee29bc4c11a2a8d4514c67eda"},
+    {file = "multidict-6.0.5-cp312-cp312-win32.whl", hash = "sha256:9fe7b0653ba3d9d65cbe7698cca585bf0f8c83dbbcc710db9c90f478e175f2d5"},
+    {file = "multidict-6.0.5-cp312-cp312-win_amd64.whl", hash = "sha256:01265f5e40f5a17f8241d52656ed27192be03bfa8764d88e8220141d1e4b3556"},
+    {file = "multidict-6.0.5-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:19fe01cea168585ba0f678cad6f58133db2aa14eccaf22f88e4a6dccadfad8b3"},
+    {file = "multidict-6.0.5-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6bf7a982604375a8d49b6cc1b781c1747f243d91b81035a9b43a2126c04766f5"},
+    {file = "multidict-6.0.5-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:107c0cdefe028703fb5dafe640a409cb146d44a6ae201e55b35a4af8e95457dd"},
+    {file = "multidict-6.0.5-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:403c0911cd5d5791605808b942c88a8155c2592e05332d2bf78f18697a5fa15e"},
+    {file = "multidict-6.0.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aeaf541ddbad8311a87dd695ed9642401131ea39ad7bc8cf3ef3967fd093b626"},
+    {file = "multidict-6.0.5-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e4972624066095e52b569e02b5ca97dbd7a7ddd4294bf4e7247d52635630dd83"},
+    {file = "multidict-6.0.5-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:d946b0a9eb8aaa590df1fe082cee553ceab173e6cb5b03239716338629c50c7a"},
+    {file = "multidict-6.0.5-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:b55358304d7a73d7bdf5de62494aaf70bd33015831ffd98bc498b433dfe5b10c"},
+    {file = "multidict-6.0.5-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:a3145cb08d8625b2d3fee1b2d596a8766352979c9bffe5d7833e0503d0f0b5e5"},
+    {file = "multidict-6.0.5-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:d65f25da8e248202bd47445cec78e0025c0fe7582b23ec69c3b27a640dd7a8e3"},
+    {file = "multidict-6.0.5-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:c9bf56195c6bbd293340ea82eafd0071cb3d450c703d2c93afb89f93b8386ccc"},
+    {file = "multidict-6.0.5-cp37-cp37m-win32.whl", hash = "sha256:69db76c09796b313331bb7048229e3bee7928eb62bab5e071e9f7fcc4879caee"},
+    {file = "multidict-6.0.5-cp37-cp37m-win_amd64.whl", hash = "sha256:fce28b3c8a81b6b36dfac9feb1de115bab619b3c13905b419ec71d03a3fc1423"},
+    {file = "multidict-6.0.5-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:76f067f5121dcecf0d63a67f29080b26c43c71a98b10c701b0677e4a065fbd54"},
+    {file = "multidict-6.0.5-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:b82cc8ace10ab5bd93235dfaab2021c70637005e1ac787031f4d1da63d493c1d"},
+    {file = "multidict-6.0.5-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:5cb241881eefd96b46f89b1a056187ea8e9ba14ab88ba632e68d7a2ecb7aadf7"},
+    {file = "multidict-6.0.5-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e8e94e6912639a02ce173341ff62cc1201232ab86b8a8fcc05572741a5dc7d93"},
+    {file = "multidict-6.0.5-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:09a892e4a9fb47331da06948690ae38eaa2426de97b4ccbfafbdcbe5c8f37ff8"},
+    {file = "multidict-6.0.5-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:55205d03e8a598cfc688c71ca8ea5f66447164efff8869517f175ea632c7cb7b"},
+    {file = "multidict-6.0.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:37b15024f864916b4951adb95d3a80c9431299080341ab9544ed148091b53f50"},
+    {file = "multidict-6.0.5-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f2a1dee728b52b33eebff5072817176c172050d44d67befd681609b4746e1c2e"},
+    {file = "multidict-6.0.5-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:edd08e6f2f1a390bf137080507e44ccc086353c8e98c657e666c017718561b89"},
+    {file = "multidict-6.0.5-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:60d698e8179a42ec85172d12f50b1668254628425a6bd611aba022257cac1386"},
+    {file = "multidict-6.0.5-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:3d25f19500588cbc47dc19081d78131c32637c25804df8414463ec908631e453"},
+    {file = "multidict-6.0.5-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:4cc0ef8b962ac7a5e62b9e826bd0cd5040e7d401bc45a6835910ed699037a461"},
+    {file = "multidict-6.0.5-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:eca2e9d0cc5a889850e9bbd68e98314ada174ff6ccd1129500103df7a94a7a44"},
+    {file = "multidict-6.0.5-cp38-cp38-win32.whl", hash = "sha256:4a6a4f196f08c58c59e0b8ef8ec441d12aee4125a7d4f4fef000ccb22f8d7241"},
+    {file = "multidict-6.0.5-cp38-cp38-win_amd64.whl", hash = "sha256:0275e35209c27a3f7951e1ce7aaf93ce0d163b28948444bec61dd7badc6d3f8c"},
+    {file = "multidict-6.0.5-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:e7be68734bd8c9a513f2b0cfd508802d6609da068f40dc57d4e3494cefc92929"},
+    {file = "multidict-6.0.5-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:1d9ea7a7e779d7a3561aade7d596649fbecfa5c08a7674b11b423783217933f9"},
+    {file = "multidict-6.0.5-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ea1456df2a27c73ce51120fa2f519f1bea2f4a03a917f4a43c8707cf4cbbae1a"},
+    {file = "multidict-6.0.5-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cf590b134eb70629e350691ecca88eac3e3b8b3c86992042fb82e3cb1830d5e1"},
+    {file = "multidict-6.0.5-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5c0631926c4f58e9a5ccce555ad7747d9a9f8b10619621f22f9635f069f6233e"},
+    {file = "multidict-6.0.5-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:dce1c6912ab9ff5f179eaf6efe7365c1f425ed690b03341911bf4939ef2f3046"},
+    {file = "multidict-6.0.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c0868d64af83169e4d4152ec612637a543f7a336e4a307b119e98042e852ad9c"},
+    {file = "multidict-6.0.5-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:141b43360bfd3bdd75f15ed811850763555a251e38b2405967f8e25fb43f7d40"},
+    {file = "multidict-6.0.5-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:7df704ca8cf4a073334e0427ae2345323613e4df18cc224f647f251e5e75a527"},
+    {file = "multidict-6.0.5-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:6214c5a5571802c33f80e6c84713b2c79e024995b9c5897f794b43e714daeec9"},
+    {file = "multidict-6.0.5-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:cd6c8fca38178e12c00418de737aef1261576bd1b6e8c6134d3e729a4e858b38"},
+    {file = "multidict-6.0.5-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:e02021f87a5b6932fa6ce916ca004c4d441509d33bbdbeca70d05dff5e9d2479"},
+    {file = "multidict-6.0.5-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:ebd8d160f91a764652d3e51ce0d2956b38efe37c9231cd82cfc0bed2e40b581c"},
+    {file = "multidict-6.0.5-cp39-cp39-win32.whl", hash = "sha256:04da1bb8c8dbadf2a18a452639771951c662c5ad03aefe4884775454be322c9b"},
+    {file = "multidict-6.0.5-cp39-cp39-win_amd64.whl", hash = "sha256:d6f6d4f185481c9669b9447bf9d9cf3b95a0e9df9d169bbc17e363b7d5487755"},
+    {file = "multidict-6.0.5-py3-none-any.whl", hash = "sha256:0d63c74e3d7ab26de115c49bffc92cc77ed23395303d496eae515d4204a625e7"},
+    {file = "multidict-6.0.5.tar.gz", hash = "sha256:f7e301075edaf50500f0b341543c41194d8df3ae5caf4702f2095f3ca73dd8da"},
+]
+
+[[package]]
+name = "multiprocess"
+version = "0.70.16"
+description = "better multiprocessing and multithreading in Python"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "multiprocess-0.70.16-pp310-pypy310_pp73-macosx_10_13_x86_64.whl", hash = "sha256:476887be10e2f59ff183c006af746cb6f1fd0eadcfd4ef49e605cbe2659920ee"},
+    {file = "multiprocess-0.70.16-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:d951bed82c8f73929ac82c61f01a7b5ce8f3e5ef40f5b52553b4f547ce2b08ec"},
+    {file = "multiprocess-0.70.16-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:37b55f71c07e2d741374998c043b9520b626a8dddc8b3129222ca4f1a06ef67a"},
+    {file = "multiprocess-0.70.16-pp38-pypy38_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:ba8c31889abf4511c7308a8c52bb4a30b9d590e7f58523302ba00237702ca054"},
+    {file = "multiprocess-0.70.16-pp39-pypy39_pp73-macosx_10_13_x86_64.whl", hash = "sha256:0dfd078c306e08d46d7a8d06fb120313d87aa43af60d66da43ffff40b44d2f41"},
+    {file = "multiprocess-0.70.16-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:e7b9d0f307cd9bd50851afaac0dba2cb6c44449efff697df7c7645f7d3f2be3a"},
+    {file = "multiprocess-0.70.16-py310-none-any.whl", hash = "sha256:c4a9944c67bd49f823687463660a2d6daae94c289adff97e0f9d696ba6371d02"},
+    {file = "multiprocess-0.70.16-py311-none-any.whl", hash = "sha256:af4cabb0dac72abfb1e794fa7855c325fd2b55a10a44628a3c1ad3311c04127a"},
+    {file = "multiprocess-0.70.16-py312-none-any.whl", hash = "sha256:fc0544c531920dde3b00c29863377f87e1632601092ea2daca74e4beb40faa2e"},
+    {file = "multiprocess-0.70.16-py38-none-any.whl", hash = "sha256:a71d82033454891091a226dfc319d0cfa8019a4e888ef9ca910372a446de4435"},
+    {file = "multiprocess-0.70.16-py39-none-any.whl", hash = "sha256:a0bafd3ae1b732eac64be2e72038231c1ba97724b60b09400d68f229fcc2fbf3"},
+    {file = "multiprocess-0.70.16.tar.gz", hash = "sha256:161af703d4652a0e1410be6abccecde4a7ddffd19341be0a7011b94aeb171ac1"},
+]
+
+[package.dependencies]
+dill = ">=0.3.8"
+
 [[package]]
 name = "networkx"
 version = "3.2.1"
@@ -1573,7 +1896,7 @@ test = ["pytest (>=7.2)", "pytest-cov (>=4.0)"]
 name = "nodeenv"
 version = "1.8.0"
 description = "Node.js virtual environment builder"
-optional = false
+optional = true
 python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*"
 files = [
     {file = "nodeenv-1.8.0-py2.py3-none-any.whl", hash = "sha256:df865724bb3c3adc86b3876fa209771517b0cfe596beff01a92700e0e8be4cec"},
@@ -1754,47 +2077,47 @@ files = [
 
 [[package]]
 name = "pandas"
-version = "2.2.1"
+version = "2.2.2"
 description = "Powerful data structures for data analysis, time series, and statistics"
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "pandas-2.2.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8df8612be9cd1c7797c93e1c5df861b2ddda0b48b08f2c3eaa0702cf88fb5f88"},
-    {file = "pandas-2.2.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:0f573ab277252ed9aaf38240f3b54cfc90fff8e5cab70411ee1d03f5d51f3944"},
-    {file = "pandas-2.2.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f02a3a6c83df4026e55b63c1f06476c9aa3ed6af3d89b4f04ea656ccdaaaa359"},
-    {file = "pandas-2.2.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c38ce92cb22a4bea4e3929429aa1067a454dcc9c335799af93ba9be21b6beb51"},
-    {file = "pandas-2.2.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:c2ce852e1cf2509a69e98358e8458775f89599566ac3775e70419b98615f4b06"},
-    {file = "pandas-2.2.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:53680dc9b2519cbf609c62db3ed7c0b499077c7fefda564e330286e619ff0dd9"},
-    {file = "pandas-2.2.1-cp310-cp310-win_amd64.whl", hash = "sha256:94e714a1cca63e4f5939cdce5f29ba8d415d85166be3441165edd427dc9f6bc0"},
-    {file = "pandas-2.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f821213d48f4ab353d20ebc24e4faf94ba40d76680642fb7ce2ea31a3ad94f9b"},
-    {file = "pandas-2.2.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c70e00c2d894cb230e5c15e4b1e1e6b2b478e09cf27cc593a11ef955b9ecc81a"},
-    {file = "pandas-2.2.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e97fbb5387c69209f134893abc788a6486dbf2f9e511070ca05eed4b930b1b02"},
-    {file = "pandas-2.2.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:101d0eb9c5361aa0146f500773395a03839a5e6ecde4d4b6ced88b7e5a1a6403"},
-    {file = "pandas-2.2.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:7d2ed41c319c9fb4fd454fe25372028dfa417aacb9790f68171b2e3f06eae8cd"},
-    {file = "pandas-2.2.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:af5d3c00557d657c8773ef9ee702c61dd13b9d7426794c9dfeb1dc4a0bf0ebc7"},
-    {file = "pandas-2.2.1-cp311-cp311-win_amd64.whl", hash = "sha256:06cf591dbaefb6da9de8472535b185cba556d0ce2e6ed28e21d919704fef1a9e"},
-    {file = "pandas-2.2.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:88ecb5c01bb9ca927ebc4098136038519aa5d66b44671861ffab754cae75102c"},
-    {file = "pandas-2.2.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:04f6ec3baec203c13e3f8b139fb0f9f86cd8c0b94603ae3ae8ce9a422e9f5bee"},
-    {file = "pandas-2.2.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a935a90a76c44fe170d01e90a3594beef9e9a6220021acfb26053d01426f7dc2"},
-    {file = "pandas-2.2.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c391f594aae2fd9f679d419e9a4d5ba4bce5bb13f6a989195656e7dc4b95c8f0"},
-    {file = "pandas-2.2.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:9d1265545f579edf3f8f0cb6f89f234f5e44ba725a34d86535b1a1d38decbccc"},
-    {file = "pandas-2.2.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:11940e9e3056576ac3244baef2fedade891977bcc1cb7e5cc8f8cc7d603edc89"},
-    {file = "pandas-2.2.1-cp312-cp312-win_amd64.whl", hash = "sha256:4acf681325ee1c7f950d058b05a820441075b0dd9a2adf5c4835b9bc056bf4fb"},
-    {file = "pandas-2.2.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:9bd8a40f47080825af4317d0340c656744f2bfdb6819f818e6ba3cd24c0e1397"},
-    {file = "pandas-2.2.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:df0c37ebd19e11d089ceba66eba59a168242fc6b7155cba4ffffa6eccdfb8f16"},
-    {file = "pandas-2.2.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:739cc70eaf17d57608639e74d63387b0d8594ce02f69e7a0b046f117974b3019"},
-    {file = "pandas-2.2.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f9d3558d263073ed95e46f4650becff0c5e1ffe0fc3a015de3c79283dfbdb3df"},
-    {file = "pandas-2.2.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:4aa1d8707812a658debf03824016bf5ea0d516afdea29b7dc14cf687bc4d4ec6"},
-    {file = "pandas-2.2.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:76f27a809cda87e07f192f001d11adc2b930e93a2b0c4a236fde5429527423be"},
-    {file = "pandas-2.2.1-cp39-cp39-win_amd64.whl", hash = "sha256:1ba21b1d5c0e43416218db63037dbe1a01fc101dc6e6024bcad08123e48004ab"},
-    {file = "pandas-2.2.1.tar.gz", hash = "sha256:0ab90f87093c13f3e8fa45b48ba9f39181046e8f3317d3aadb2fffbb1b978572"},
+    {file = "pandas-2.2.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:90c6fca2acf139569e74e8781709dccb6fe25940488755716d1d354d6bc58bce"},
+    {file = "pandas-2.2.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c7adfc142dac335d8c1e0dcbd37eb8617eac386596eb9e1a1b77791cf2498238"},
+    {file = "pandas-2.2.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4abfe0be0d7221be4f12552995e58723c7422c80a659da13ca382697de830c08"},
+    {file = "pandas-2.2.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8635c16bf3d99040fdf3ca3db669a7250ddf49c55dc4aa8fe0ae0fa8d6dcc1f0"},
+    {file = "pandas-2.2.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:40ae1dffb3967a52203105a077415a86044a2bea011b5f321c6aa64b379a3f51"},
+    {file = "pandas-2.2.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:8e5a0b00e1e56a842f922e7fae8ae4077aee4af0acb5ae3622bd4b4c30aedf99"},
+    {file = "pandas-2.2.2-cp310-cp310-win_amd64.whl", hash = "sha256:ddf818e4e6c7c6f4f7c8a12709696d193976b591cc7dc50588d3d1a6b5dc8772"},
+    {file = "pandas-2.2.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:696039430f7a562b74fa45f540aca068ea85fa34c244d0deee539cb6d70aa288"},
+    {file = "pandas-2.2.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:8e90497254aacacbc4ea6ae5e7a8cd75629d6ad2b30025a4a8b09aa4faf55151"},
+    {file = "pandas-2.2.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:58b84b91b0b9f4bafac2a0ac55002280c094dfc6402402332c0913a59654ab2b"},
+    {file = "pandas-2.2.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6d2123dc9ad6a814bcdea0f099885276b31b24f7edf40f6cdbc0912672e22eee"},
+    {file = "pandas-2.2.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:2925720037f06e89af896c70bca73459d7e6a4be96f9de79e2d440bd499fe0db"},
+    {file = "pandas-2.2.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:0cace394b6ea70c01ca1595f839cf193df35d1575986e484ad35c4aeae7266c1"},
+    {file = "pandas-2.2.2-cp311-cp311-win_amd64.whl", hash = "sha256:873d13d177501a28b2756375d59816c365e42ed8417b41665f346289adc68d24"},
+    {file = "pandas-2.2.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:9dfde2a0ddef507a631dc9dc4af6a9489d5e2e740e226ad426a05cabfbd7c8ef"},
+    {file = "pandas-2.2.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:e9b79011ff7a0f4b1d6da6a61aa1aa604fb312d6647de5bad20013682d1429ce"},
+    {file = "pandas-2.2.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1cb51fe389360f3b5a4d57dbd2848a5f033350336ca3b340d1c53a1fad33bcad"},
+    {file = "pandas-2.2.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eee3a87076c0756de40b05c5e9a6069c035ba43e8dd71c379e68cab2c20f16ad"},
+    {file = "pandas-2.2.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:3e374f59e440d4ab45ca2fffde54b81ac3834cf5ae2cdfa69c90bc03bde04d76"},
+    {file = "pandas-2.2.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:43498c0bdb43d55cb162cdc8c06fac328ccb5d2eabe3cadeb3529ae6f0517c32"},
+    {file = "pandas-2.2.2-cp312-cp312-win_amd64.whl", hash = "sha256:d187d355ecec3629624fccb01d104da7d7f391db0311145817525281e2804d23"},
+    {file = "pandas-2.2.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:0ca6377b8fca51815f382bd0b697a0814c8bda55115678cbc94c30aacbb6eff2"},
+    {file = "pandas-2.2.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9057e6aa78a584bc93a13f0a9bf7e753a5e9770a30b4d758b8d5f2a62a9433cd"},
+    {file = "pandas-2.2.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:001910ad31abc7bf06f49dcc903755d2f7f3a9186c0c040b827e522e9cef0863"},
+    {file = "pandas-2.2.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:66b479b0bd07204e37583c191535505410daa8df638fd8e75ae1b383851fe921"},
+    {file = "pandas-2.2.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:a77e9d1c386196879aa5eb712e77461aaee433e54c68cf253053a73b7e49c33a"},
+    {file = "pandas-2.2.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:92fd6b027924a7e178ac202cfbe25e53368db90d56872d20ffae94b96c7acc57"},
+    {file = "pandas-2.2.2-cp39-cp39-win_amd64.whl", hash = "sha256:640cef9aa381b60e296db324337a554aeeb883ead99dc8f6c18e81a93942f5f4"},
+    {file = "pandas-2.2.2.tar.gz", hash = "sha256:9e79019aba43cb4fda9e4d983f8e88ca0373adbb697ae9c6c43093218de28b54"},
 ]
 
 [package.dependencies]
 numpy = [
-    {version = ">=1.26.0,<2", markers = "python_version >= \"3.12\""},
-    {version = ">=1.23.2,<2", markers = "python_version == \"3.11\""},
-    {version = ">=1.22.4,<2", markers = "python_version < \"3.11\""},
+    {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
+    {version = ">=1.23.2", markers = "python_version == \"3.11\""},
+    {version = ">=1.22.4", markers = "python_version < \"3.11\""},
 ]
 python-dateutil = ">=2.8.2"
 pytz = ">=2020.1"
@@ -1939,7 +2262,7 @@ xmp = ["defusedxml"]
 name = "platformdirs"
 version = "4.2.0"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
     {file = "platformdirs-4.2.0-py3-none-any.whl", hash = "sha256:0614df2a2f37e1a662acbd8e2b25b92ccf8632929bc6d43467e17fe89c75e068"},
@@ -1954,7 +2277,7 @@ test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4.3)", "pytest-
 name = "pluggy"
 version = "1.4.0"
 description = "plugin and hook calling mechanisms for python"
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
     {file = "pluggy-1.4.0-py3-none-any.whl", hash = "sha256:7db9f7b503d67d1c5b95f59773ebb58a8c1c288129a88665838012cfb07b8981"},
@@ -1967,13 +2290,13 @@ testing = ["pytest", "pytest-benchmark"]
 
 [[package]]
 name = "pre-commit"
-version = "3.6.2"
+version = "3.7.0"
 description = "A framework for managing and maintaining multi-language pre-commit hooks."
-optional = false
+optional = true
 python-versions = ">=3.9"
 files = [
-    {file = "pre_commit-3.6.2-py2.py3-none-any.whl", hash = "sha256:ba637c2d7a670c10daedc059f5c49b5bd0aadbccfcd7ec15592cf9665117532c"},
-    {file = "pre_commit-3.6.2.tar.gz", hash = "sha256:c3ef34f463045c88658c5b99f38c1e297abdcc0ff13f98d3370055fbbfabc67e"},
+    {file = "pre_commit-3.7.0-py2.py3-none-any.whl", hash = "sha256:5eae9e10c2b5ac51577c3452ec0a490455c45a0533f7960f993a0d01e59decab"},
+    {file = "pre_commit-3.7.0.tar.gz", hash = "sha256:e209d61b8acdcf742404408531f0c37d49d2c734fd7cff2d6076083d191cb060"},
 ]
 
 [package.dependencies]
@@ -1983,20 +2306,6 @@ nodeenv = ">=0.11.1"
 pyyaml = ">=5.1"
 virtualenv = ">=20.10.0"
 
-[[package]]
-name = "proglog"
-version = "0.1.10"
-description = "Log and progress bar manager for console, notebooks, web..."
-optional = false
-python-versions = "*"
-files = [
-    {file = "proglog-0.1.10-py3-none-any.whl", hash = "sha256:19d5da037e8c813da480b741e3fa71fb1ac0a5b02bf21c41577c7f327485ec50"},
-    {file = "proglog-0.1.10.tar.gz", hash = "sha256:658c28c9c82e4caeb2f25f488fff9ceace22f8d69b15d0c1c86d64275e4ddab4"},
-]
-
-[package.dependencies]
-tqdm = "*"
-
 [[package]]
 name = "protobuf"
 version = "4.25.3"
@@ -2045,6 +2354,65 @@ files = [
 [package.extras]
 test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"]
 
+[[package]]
+name = "pyarrow"
+version = "15.0.2"
+description = "Python library for Apache Arrow"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "pyarrow-15.0.2-cp310-cp310-macosx_10_15_x86_64.whl", hash = "sha256:88b340f0a1d05b5ccc3d2d986279045655b1fe8e41aba6ca44ea28da0d1455d8"},
+    {file = "pyarrow-15.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:eaa8f96cecf32da508e6c7f69bb8401f03745c050c1dd42ec2596f2e98deecac"},
+    {file = "pyarrow-15.0.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:23c6753ed4f6adb8461e7c383e418391b8d8453c5d67e17f416c3a5d5709afbd"},
+    {file = "pyarrow-15.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f639c059035011db8c0497e541a8a45d98a58dbe34dc8fadd0ef128f2cee46e5"},
+    {file = "pyarrow-15.0.2-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:290e36a59a0993e9a5224ed2fb3e53375770f07379a0ea03ee2fce2e6d30b423"},
+    {file = "pyarrow-15.0.2-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:06c2bb2a98bc792f040bef31ad3e9be6a63d0cb39189227c08a7d955db96816e"},
+    {file = "pyarrow-15.0.2-cp310-cp310-win_amd64.whl", hash = "sha256:f7a197f3670606a960ddc12adbe8075cea5f707ad7bf0dffa09637fdbb89f76c"},
+    {file = "pyarrow-15.0.2-cp311-cp311-macosx_10_15_x86_64.whl", hash = "sha256:5f8bc839ea36b1f99984c78e06e7a06054693dc2af8920f6fb416b5bca9944e4"},
+    {file = "pyarrow-15.0.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:f5e81dfb4e519baa6b4c80410421528c214427e77ca0ea9461eb4097c328fa33"},
+    {file = "pyarrow-15.0.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3a4f240852b302a7af4646c8bfe9950c4691a419847001178662a98915fd7ee7"},
+    {file = "pyarrow-15.0.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4e7d9cfb5a1e648e172428c7a42b744610956f3b70f524aa3a6c02a448ba853e"},
+    {file = "pyarrow-15.0.2-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:2d4f905209de70c0eb5b2de6763104d5a9a37430f137678edfb9a675bac9cd98"},
+    {file = "pyarrow-15.0.2-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:90adb99e8ce5f36fbecbbc422e7dcbcbed07d985eed6062e459e23f9e71fd197"},
+    {file = "pyarrow-15.0.2-cp311-cp311-win_amd64.whl", hash = "sha256:b116e7fd7889294cbd24eb90cd9bdd3850be3738d61297855a71ac3b8124ee38"},
+    {file = "pyarrow-15.0.2-cp312-cp312-macosx_10_15_x86_64.whl", hash = "sha256:25335e6f1f07fdaa026a61c758ee7d19ce824a866b27bba744348fa73bb5a440"},
+    {file = "pyarrow-15.0.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:90f19e976d9c3d8e73c80be84ddbe2f830b6304e4c576349d9360e335cd627fc"},
+    {file = "pyarrow-15.0.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a22366249bf5fd40ddacc4f03cd3160f2d7c247692945afb1899bab8a140ddfb"},
+    {file = "pyarrow-15.0.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c2a335198f886b07e4b5ea16d08ee06557e07db54a8400cc0d03c7f6a22f785f"},
+    {file = "pyarrow-15.0.2-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:3e6d459c0c22f0b9c810a3917a1de3ee704b021a5fb8b3bacf968eece6df098f"},
+    {file = "pyarrow-15.0.2-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:033b7cad32198754d93465dcfb71d0ba7cb7cd5c9afd7052cab7214676eec38b"},
+    {file = "pyarrow-15.0.2-cp312-cp312-win_amd64.whl", hash = "sha256:29850d050379d6e8b5a693098f4de7fd6a2bea4365bfd073d7c57c57b95041ee"},
+    {file = "pyarrow-15.0.2-cp38-cp38-macosx_10_15_x86_64.whl", hash = "sha256:7167107d7fb6dcadb375b4b691b7e316f4368f39f6f45405a05535d7ad5e5058"},
+    {file = "pyarrow-15.0.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:e85241b44cc3d365ef950432a1b3bd44ac54626f37b2e3a0cc89c20e45dfd8bf"},
+    {file = "pyarrow-15.0.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:248723e4ed3255fcd73edcecc209744d58a9ca852e4cf3d2577811b6d4b59818"},
+    {file = "pyarrow-15.0.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3ff3bdfe6f1b81ca5b73b70a8d482d37a766433823e0c21e22d1d7dde76ca33f"},
+    {file = "pyarrow-15.0.2-cp38-cp38-manylinux_2_28_aarch64.whl", hash = "sha256:f3d77463dee7e9f284ef42d341689b459a63ff2e75cee2b9302058d0d98fe142"},
+    {file = "pyarrow-15.0.2-cp38-cp38-manylinux_2_28_x86_64.whl", hash = "sha256:8c1faf2482fb89766e79745670cbca04e7018497d85be9242d5350cba21357e1"},
+    {file = "pyarrow-15.0.2-cp38-cp38-win_amd64.whl", hash = "sha256:28f3016958a8e45a1069303a4a4f6a7d4910643fc08adb1e2e4a7ff056272ad3"},
+    {file = "pyarrow-15.0.2-cp39-cp39-macosx_10_15_x86_64.whl", hash = "sha256:89722cb64286ab3d4daf168386f6968c126057b8c7ec3ef96302e81d8cdb8ae4"},
+    {file = "pyarrow-15.0.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:cd0ba387705044b3ac77b1b317165c0498299b08261d8122c96051024f953cd5"},
+    {file = "pyarrow-15.0.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ad2459bf1f22b6a5cdcc27ebfd99307d5526b62d217b984b9f5c974651398832"},
+    {file = "pyarrow-15.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:58922e4bfece8b02abf7159f1f53a8f4d9f8e08f2d988109126c17c3bb261f22"},
+    {file = "pyarrow-15.0.2-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:adccc81d3dc0478ea0b498807b39a8d41628fa9210729b2f718b78cb997c7c91"},
+    {file = "pyarrow-15.0.2-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:8bd2baa5fe531571847983f36a30ddbf65261ef23e496862ece83bdceb70420d"},
+    {file = "pyarrow-15.0.2-cp39-cp39-win_amd64.whl", hash = "sha256:6669799a1d4ca9da9c7e06ef48368320f5856f36f9a4dd31a11839dda3f6cc8c"},
+    {file = "pyarrow-15.0.2.tar.gz", hash = "sha256:9c9bc803cb3b7bfacc1e96ffbfd923601065d9d3f911179d81e72d99fd74a3d9"},
+]
+
+[package.dependencies]
+numpy = ">=1.16.6,<2"
+
+[[package]]
+name = "pyarrow-hotfix"
+version = "0.6"
+description = ""
+optional = false
+python-versions = ">=3.5"
+files = [
+    {file = "pyarrow_hotfix-0.6-py3-none-any.whl", hash = "sha256:dcc9ae2d220dff0083be6a9aa8e0cdee5182ad358d4931fce825c545e5c89178"},
+    {file = "pyarrow_hotfix-0.6.tar.gz", hash = "sha256:79d3e030f7ff890d408a100ac16d6f00b14d44a502d7897cd9fc3e3a534e9945"},
+]
+
 [[package]]
 name = "pycparser"
 version = "2.21"
@@ -2060,7 +2428,7 @@ files = [
 name = "pygame"
 version = "2.5.2"
 description = "Python Game Development"
-optional = false
+optional = true
 python-versions = ">=3.6"
 files = [
     {file = "pygame-2.5.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a0769eb628c818761755eb0a0ca8216b95270ea8cbcbc82227e39ac9644643da"},
@@ -2234,7 +2602,7 @@ files = [
 name = "pytest"
 version = "8.1.1"
 description = "pytest: simple powerful testing with Python"
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
     {file = "pytest-8.1.1-py3-none-any.whl", hash = "sha256:2a8386cfc11fa9d2c50ee7b2a57e7d898ef90470a7a34c4b949ff59662bb78b7"},
@@ -2256,7 +2624,7 @@ testing = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygm
 name = "pytest-cov"
 version = "5.0.0"
 description = "Pytest plugin for measuring coverage."
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
     {file = "pytest-cov-5.0.0.tar.gz", hash = "sha256:5837b58e9f6ebd335b0f8060eecce69b662415b16dc503883a02f45dfeb14857"},
@@ -3076,7 +3444,7 @@ all = ["defusedxml", "fsspec", "imagecodecs (>=2023.8.12)", "lxml", "matplotlib"
 name = "tomli"
 version = "2.0.1"
 description = "A lil' TOML parser"
-optional = false
+optional = true
 python-versions = ">=3.7"
 files = [
     {file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
@@ -3214,7 +3582,7 @@ zstd = ["zstandard (>=0.18.0)"]
 name = "virtualenv"
 version = "20.25.1"
 description = "Virtual Python Environment builder"
-optional = false
+optional = true
 python-versions = ">=3.7"
 files = [
     {file = "virtualenv-20.25.1-py3-none-any.whl", hash = "sha256:961c026ac520bac5f69acb8ea063e8a4f071bcc9457b9c1f28f6b085c511583a"},
@@ -3285,6 +3653,226 @@ MarkupSafe = ">=2.1.1"
 [package.extras]
 watchdog = ["watchdog (>=2.3)"]
 
+[[package]]
+name = "xxhash"
+version = "3.4.1"
+description = "Python binding for xxHash"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "xxhash-3.4.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:91dbfa55346ad3e18e738742236554531a621042e419b70ad8f3c1d9c7a16e7f"},
+    {file = "xxhash-3.4.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:665a65c2a48a72068fcc4d21721510df5f51f1142541c890491afc80451636d2"},
+    {file = "xxhash-3.4.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bb11628470a6004dc71a09fe90c2f459ff03d611376c1debeec2d648f44cb693"},
+    {file = "xxhash-3.4.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5bef2a7dc7b4f4beb45a1edbba9b9194c60a43a89598a87f1a0226d183764189"},
+    {file = "xxhash-3.4.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9c0f7b2d547d72c7eda7aa817acf8791f0146b12b9eba1d4432c531fb0352228"},
+    {file = "xxhash-3.4.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:00f2fdef6b41c9db3d2fc0e7f94cb3db86693e5c45d6de09625caad9a469635b"},
+    {file = "xxhash-3.4.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:23cfd9ca09acaf07a43e5a695143d9a21bf00f5b49b15c07d5388cadf1f9ce11"},
+    {file = "xxhash-3.4.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:6a9ff50a3cf88355ca4731682c168049af1ca222d1d2925ef7119c1a78e95b3b"},
+    {file = "xxhash-3.4.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:f1d7c69a1e9ca5faa75546fdd267f214f63f52f12692f9b3a2f6467c9e67d5e7"},
+    {file = "xxhash-3.4.1-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:672b273040d5d5a6864a36287f3514efcd1d4b1b6a7480f294c4b1d1ee1b8de0"},
+    {file = "xxhash-3.4.1-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:4178f78d70e88f1c4a89ff1ffe9f43147185930bb962ee3979dba15f2b1cc799"},
+    {file = "xxhash-3.4.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:9804b9eb254d4b8cc83ab5a2002128f7d631dd427aa873c8727dba7f1f0d1c2b"},
+    {file = "xxhash-3.4.1-cp310-cp310-win32.whl", hash = "sha256:c09c49473212d9c87261d22c74370457cfff5db2ddfc7fd1e35c80c31a8c14ce"},
+    {file = "xxhash-3.4.1-cp310-cp310-win_amd64.whl", hash = "sha256:ebbb1616435b4a194ce3466d7247df23499475c7ed4eb2681a1fa42ff766aff6"},
+    {file = "xxhash-3.4.1-cp310-cp310-win_arm64.whl", hash = "sha256:25dc66be3db54f8a2d136f695b00cfe88018e59ccff0f3b8f545869f376a8a46"},
+    {file = "xxhash-3.4.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:58c49083801885273e262c0f5bbeac23e520564b8357fbb18fb94ff09d3d3ea5"},
+    {file = "xxhash-3.4.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:b526015a973bfbe81e804a586b703f163861da36d186627e27524f5427b0d520"},
+    {file = "xxhash-3.4.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:36ad4457644c91a966f6fe137d7467636bdc51a6ce10a1d04f365c70d6a16d7e"},
+    {file = "xxhash-3.4.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:248d3e83d119770f96003271fe41e049dd4ae52da2feb8f832b7a20e791d2920"},
+    {file = "xxhash-3.4.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2070b6d5bbef5ee031666cf21d4953c16e92c2f8a24a94b5c240f8995ba3b1d0"},
+    {file = "xxhash-3.4.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b2746035f518f0410915e247877f7df43ef3372bf36cfa52cc4bc33e85242641"},
+    {file = "xxhash-3.4.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2a8ba6181514681c2591840d5632fcf7356ab287d4aff1c8dea20f3c78097088"},
+    {file = "xxhash-3.4.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:0aac5010869240e95f740de43cd6a05eae180c59edd182ad93bf12ee289484fa"},
+    {file = "xxhash-3.4.1-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:4cb11d8debab1626181633d184b2372aaa09825bde709bf927704ed72765bed1"},
+    {file = "xxhash-3.4.1-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:b29728cff2c12f3d9f1d940528ee83918d803c0567866e062683f300d1d2eff3"},
+    {file = "xxhash-3.4.1-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:a15cbf3a9c40672523bdb6ea97ff74b443406ba0ab9bca10ceccd9546414bd84"},
+    {file = "xxhash-3.4.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:6e66df260fed01ed8ea790c2913271641c58481e807790d9fca8bfd5a3c13844"},
+    {file = "xxhash-3.4.1-cp311-cp311-win32.whl", hash = "sha256:e867f68a8f381ea12858e6d67378c05359d3a53a888913b5f7d35fbf68939d5f"},
+    {file = "xxhash-3.4.1-cp311-cp311-win_amd64.whl", hash = "sha256:200a5a3ad9c7c0c02ed1484a1d838b63edcf92ff538770ea07456a3732c577f4"},
+    {file = "xxhash-3.4.1-cp311-cp311-win_arm64.whl", hash = "sha256:1d03f1c0d16d24ea032e99f61c552cb2b77d502e545187338bea461fde253583"},
+    {file = "xxhash-3.4.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:c4bbba9b182697a52bc0c9f8ec0ba1acb914b4937cd4a877ad78a3b3eeabefb3"},
+    {file = "xxhash-3.4.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:9fd28a9da300e64e434cfc96567a8387d9a96e824a9be1452a1e7248b7763b78"},
+    {file = "xxhash-3.4.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6066d88c9329ab230e18998daec53d819daeee99d003955c8db6fc4971b45ca3"},
+    {file = "xxhash-3.4.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:93805bc3233ad89abf51772f2ed3355097a5dc74e6080de19706fc447da99cd3"},
+    {file = "xxhash-3.4.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:64da57d5ed586ebb2ecdde1e997fa37c27fe32fe61a656b77fabbc58e6fbff6e"},
+    {file = "xxhash-3.4.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7a97322e9a7440bf3c9805cbaac090358b43f650516486746f7fa482672593df"},
+    {file = "xxhash-3.4.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:bbe750d512982ee7d831838a5dee9e9848f3fb440e4734cca3f298228cc957a6"},
+    {file = "xxhash-3.4.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:fd79d4087727daf4d5b8afe594b37d611ab95dc8e29fe1a7517320794837eb7d"},
+    {file = "xxhash-3.4.1-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:743612da4071ff9aa4d055f3f111ae5247342931dedb955268954ef7201a71ff"},
+    {file = "xxhash-3.4.1-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:b41edaf05734092f24f48c0958b3c6cbaaa5b7e024880692078c6b1f8247e2fc"},
+    {file = "xxhash-3.4.1-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:a90356ead70d715fe64c30cd0969072de1860e56b78adf7c69d954b43e29d9fa"},
+    {file = "xxhash-3.4.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:ac56eebb364e44c85e1d9e9cc5f6031d78a34f0092fea7fc80478139369a8b4a"},
+    {file = "xxhash-3.4.1-cp312-cp312-win32.whl", hash = "sha256:911035345932a153c427107397c1518f8ce456f93c618dd1c5b54ebb22e73747"},
+    {file = "xxhash-3.4.1-cp312-cp312-win_amd64.whl", hash = "sha256:f31ce76489f8601cc7b8713201ce94b4bd7b7ce90ba3353dccce7e9e1fee71fa"},
+    {file = "xxhash-3.4.1-cp312-cp312-win_arm64.whl", hash = "sha256:b5beb1c6a72fdc7584102f42c4d9df232ee018ddf806e8c90906547dfb43b2da"},
+    {file = "xxhash-3.4.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:6d42b24d1496deb05dee5a24ed510b16de1d6c866c626c2beb11aebf3be278b9"},
+    {file = "xxhash-3.4.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3b685fab18876b14a8f94813fa2ca80cfb5ab6a85d31d5539b7cd749ce9e3624"},
+    {file = "xxhash-3.4.1-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:419ffe34c17ae2df019a4685e8d3934d46b2e0bbe46221ab40b7e04ed9f11137"},
+    {file = "xxhash-3.4.1-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:0e041ce5714f95251a88670c114b748bca3bf80cc72400e9f23e6d0d59cf2681"},
+    {file = "xxhash-3.4.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fc860d887c5cb2f524899fb8338e1bb3d5789f75fac179101920d9afddef284b"},
+    {file = "xxhash-3.4.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:312eba88ffe0a05e332e3a6f9788b73883752be63f8588a6dc1261a3eaaaf2b2"},
+    {file = "xxhash-3.4.1-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:e01226b6b6a1ffe4e6bd6d08cfcb3ca708b16f02eb06dd44f3c6e53285f03e4f"},
+    {file = "xxhash-3.4.1-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:9f3025a0d5d8cf406a9313cd0d5789c77433ba2004b1c75439b67678e5136537"},
+    {file = "xxhash-3.4.1-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:6d3472fd4afef2a567d5f14411d94060099901cd8ce9788b22b8c6f13c606a93"},
+    {file = "xxhash-3.4.1-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:43984c0a92f06cac434ad181f329a1445017c33807b7ae4f033878d860a4b0f2"},
+    {file = "xxhash-3.4.1-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:a55e0506fdb09640a82ec4f44171273eeabf6f371a4ec605633adb2837b5d9d5"},
+    {file = "xxhash-3.4.1-cp37-cp37m-win32.whl", hash = "sha256:faec30437919555b039a8bdbaba49c013043e8f76c999670aef146d33e05b3a0"},
+    {file = "xxhash-3.4.1-cp37-cp37m-win_amd64.whl", hash = "sha256:c9e1b646af61f1fc7083bb7b40536be944f1ac67ef5e360bca2d73430186971a"},
+    {file = "xxhash-3.4.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:961d948b7b1c1b6c08484bbce3d489cdf153e4122c3dfb07c2039621243d8795"},
+    {file = "xxhash-3.4.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:719a378930504ab159f7b8e20fa2aa1896cde050011af838af7e7e3518dd82de"},
+    {file = "xxhash-3.4.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:74fb5cb9406ccd7c4dd917f16630d2e5e8cbbb02fc2fca4e559b2a47a64f4940"},
+    {file = "xxhash-3.4.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5dab508ac39e0ab988039bc7f962c6ad021acd81fd29145962b068df4148c476"},
+    {file = "xxhash-3.4.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8c59f3e46e7daf4c589e8e853d700ef6607afa037bfad32c390175da28127e8c"},
+    {file = "xxhash-3.4.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8cc07256eff0795e0f642df74ad096f8c5d23fe66bc138b83970b50fc7f7f6c5"},
+    {file = "xxhash-3.4.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e9f749999ed80f3955a4af0eb18bb43993f04939350b07b8dd2f44edc98ffee9"},
+    {file = "xxhash-3.4.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:7688d7c02149a90a3d46d55b341ab7ad1b4a3f767be2357e211b4e893efbaaf6"},
+    {file = "xxhash-3.4.1-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:a8b4977963926f60b0d4f830941c864bed16aa151206c01ad5c531636da5708e"},
+    {file = "xxhash-3.4.1-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:8106d88da330f6535a58a8195aa463ef5281a9aa23b04af1848ff715c4398fb4"},
+    {file = "xxhash-3.4.1-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:4c76a77dbd169450b61c06fd2d5d436189fc8ab7c1571d39265d4822da16df22"},
+    {file = "xxhash-3.4.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:11f11357c86d83e53719c592021fd524efa9cf024dc7cb1dfb57bbbd0d8713f2"},
+    {file = "xxhash-3.4.1-cp38-cp38-win32.whl", hash = "sha256:0c786a6cd74e8765c6809892a0d45886e7c3dc54de4985b4a5eb8b630f3b8e3b"},
+    {file = "xxhash-3.4.1-cp38-cp38-win_amd64.whl", hash = "sha256:aabf37fb8fa27430d50507deeab2ee7b1bcce89910dd10657c38e71fee835594"},
+    {file = "xxhash-3.4.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:6127813abc1477f3a83529b6bbcfeddc23162cece76fa69aee8f6a8a97720562"},
+    {file = "xxhash-3.4.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ef2e194262f5db16075caea7b3f7f49392242c688412f386d3c7b07c7733a70a"},
+    {file = "xxhash-3.4.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:71be94265b6c6590f0018bbf73759d21a41c6bda20409782d8117e76cd0dfa8b"},
+    {file = "xxhash-3.4.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:10e0a619cdd1c0980e25eb04e30fe96cf8f4324758fa497080af9c21a6de573f"},
+    {file = "xxhash-3.4.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:fa122124d2e3bd36581dd78c0efa5f429f5220313479fb1072858188bc2d5ff1"},
+    {file = "xxhash-3.4.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e17032f5a4fea0a074717fe33477cb5ee723a5f428de7563e75af64bfc1b1e10"},
+    {file = "xxhash-3.4.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ca7783b20e3e4f3f52f093538895863f21d18598f9a48211ad757680c3bd006f"},
+    {file = "xxhash-3.4.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:d77d09a1113899fad5f354a1eb4f0a9afcf58cefff51082c8ad643ff890e30cf"},
+    {file = "xxhash-3.4.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:21287bcdd299fdc3328cc0fbbdeaa46838a1c05391264e51ddb38a3f5b09611f"},
+    {file = "xxhash-3.4.1-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:dfd7a6cc483e20b4ad90224aeb589e64ec0f31e5610ab9957ff4314270b2bf31"},
+    {file = "xxhash-3.4.1-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:543c7fcbc02bbb4840ea9915134e14dc3dc15cbd5a30873a7a5bf66039db97ec"},
+    {file = "xxhash-3.4.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:fe0a98d990e433013f41827b62be9ab43e3cf18e08b1483fcc343bda0d691182"},
+    {file = "xxhash-3.4.1-cp39-cp39-win32.whl", hash = "sha256:b9097af00ebf429cc7c0e7d2fdf28384e4e2e91008130ccda8d5ae653db71e54"},
+    {file = "xxhash-3.4.1-cp39-cp39-win_amd64.whl", hash = "sha256:d699b921af0dcde50ab18be76c0d832f803034d80470703700cb7df0fbec2832"},
+    {file = "xxhash-3.4.1-cp39-cp39-win_arm64.whl", hash = "sha256:2be491723405e15cc099ade1280133ccfbf6322d2ef568494fb7d07d280e7eee"},
+    {file = "xxhash-3.4.1-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:431625fad7ab5649368c4849d2b49a83dc711b1f20e1f7f04955aab86cd307bc"},
+    {file = "xxhash-3.4.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fc6dbd5fc3c9886a9e041848508b7fb65fd82f94cc793253990f81617b61fe49"},
+    {file = "xxhash-3.4.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f3ff8dbd0ec97aec842476cb8ccc3e17dd288cd6ce3c8ef38bff83d6eb927817"},
+    {file = "xxhash-3.4.1-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ef73a53fe90558a4096e3256752268a8bdc0322f4692ed928b6cd7ce06ad4fe3"},
+    {file = "xxhash-3.4.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:450401f42bbd274b519d3d8dcf3c57166913381a3d2664d6609004685039f9d3"},
+    {file = "xxhash-3.4.1-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:a162840cf4de8a7cd8720ff3b4417fbc10001eefdd2d21541a8226bb5556e3bb"},
+    {file = "xxhash-3.4.1-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b736a2a2728ba45017cb67785e03125a79d246462dfa892d023b827007412c52"},
+    {file = "xxhash-3.4.1-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1d0ae4c2e7698adef58710d6e7a32ff518b66b98854b1c68e70eee504ad061d8"},
+    {file = "xxhash-3.4.1-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d6322c4291c3ff174dcd104fae41500e75dad12be6f3085d119c2c8a80956c51"},
+    {file = "xxhash-3.4.1-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:dd59ed668801c3fae282f8f4edadf6dc7784db6d18139b584b6d9677ddde1b6b"},
+    {file = "xxhash-3.4.1-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:92693c487e39523a80474b0394645b393f0ae781d8db3474ccdcead0559ccf45"},
+    {file = "xxhash-3.4.1-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4603a0f642a1e8d7f3ba5c4c25509aca6a9c1cc16f85091004a7028607ead663"},
+    {file = "xxhash-3.4.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6fa45e8cbfbadb40a920fe9ca40c34b393e0b067082d94006f7f64e70c7490a6"},
+    {file = "xxhash-3.4.1-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:595b252943b3552de491ff51e5bb79660f84f033977f88f6ca1605846637b7c6"},
+    {file = "xxhash-3.4.1-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:562d8b8f783c6af969806aaacf95b6c7b776929ae26c0cd941d54644ea7ef51e"},
+    {file = "xxhash-3.4.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:41ddeae47cf2828335d8d991f2d2b03b0bdc89289dc64349d712ff8ce59d0647"},
+    {file = "xxhash-3.4.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c44d584afdf3c4dbb3277e32321d1a7b01d6071c1992524b6543025fb8f4206f"},
+    {file = "xxhash-3.4.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fd7bddb3a5b86213cc3f2c61500c16945a1b80ecd572f3078ddbbe68f9dabdfb"},
+    {file = "xxhash-3.4.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9ecb6c987b62437c2f99c01e97caf8d25660bf541fe79a481d05732e5236719c"},
+    {file = "xxhash-3.4.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:696b4e18b7023527d5c50ed0626ac0520edac45a50ec7cf3fc265cd08b1f4c03"},
+    {file = "xxhash-3.4.1.tar.gz", hash = "sha256:0379d6cf1ff987cd421609a264ce025e74f346e3e145dd106c0cc2e3ec3f99a9"},
+]
+
+[[package]]
+name = "yarl"
+version = "1.9.4"
+description = "Yet another URL library"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "yarl-1.9.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a8c1df72eb746f4136fe9a2e72b0c9dc1da1cbd23b5372f94b5820ff8ae30e0e"},
+    {file = "yarl-1.9.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a3a6ed1d525bfb91b3fc9b690c5a21bb52de28c018530ad85093cc488bee2dd2"},
+    {file = "yarl-1.9.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c38c9ddb6103ceae4e4498f9c08fac9b590c5c71b0370f98714768e22ac6fa66"},
+    {file = "yarl-1.9.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d9e09c9d74f4566e905a0b8fa668c58109f7624db96a2171f21747abc7524234"},
+    {file = "yarl-1.9.4-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b8477c1ee4bd47c57d49621a062121c3023609f7a13b8a46953eb6c9716ca392"},
+    {file = "yarl-1.9.4-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d5ff2c858f5f6a42c2a8e751100f237c5e869cbde669a724f2062d4c4ef93551"},
+    {file = "yarl-1.9.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:357495293086c5b6d34ca9616a43d329317feab7917518bc97a08f9e55648455"},
+    {file = "yarl-1.9.4-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:54525ae423d7b7a8ee81ba189f131054defdb122cde31ff17477951464c1691c"},
+    {file = "yarl-1.9.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:801e9264d19643548651b9db361ce3287176671fb0117f96b5ac0ee1c3530d53"},
+    {file = "yarl-1.9.4-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:e516dc8baf7b380e6c1c26792610230f37147bb754d6426462ab115a02944385"},
+    {file = "yarl-1.9.4-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:7d5aaac37d19b2904bb9dfe12cdb08c8443e7ba7d2852894ad448d4b8f442863"},
+    {file = "yarl-1.9.4-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:54beabb809ffcacbd9d28ac57b0db46e42a6e341a030293fb3185c409e626b8b"},
+    {file = "yarl-1.9.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:bac8d525a8dbc2a1507ec731d2867025d11ceadcb4dd421423a5d42c56818541"},
+    {file = "yarl-1.9.4-cp310-cp310-win32.whl", hash = "sha256:7855426dfbddac81896b6e533ebefc0af2f132d4a47340cee6d22cac7190022d"},
+    {file = "yarl-1.9.4-cp310-cp310-win_amd64.whl", hash = "sha256:848cd2a1df56ddbffeb375535fb62c9d1645dde33ca4d51341378b3f5954429b"},
+    {file = "yarl-1.9.4-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:35a2b9396879ce32754bd457d31a51ff0a9d426fd9e0e3c33394bf4b9036b099"},
+    {file = "yarl-1.9.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:4c7d56b293cc071e82532f70adcbd8b61909eec973ae9d2d1f9b233f3d943f2c"},
+    {file = "yarl-1.9.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:d8a1c6c0be645c745a081c192e747c5de06e944a0d21245f4cf7c05e457c36e0"},
+    {file = "yarl-1.9.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4b3c1ffe10069f655ea2d731808e76e0f452fc6c749bea04781daf18e6039525"},
+    {file = "yarl-1.9.4-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:549d19c84c55d11687ddbd47eeb348a89df9cb30e1993f1b128f4685cd0ebbf8"},
+    {file = "yarl-1.9.4-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a7409f968456111140c1c95301cadf071bd30a81cbd7ab829169fb9e3d72eae9"},
+    {file = "yarl-1.9.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e23a6d84d9d1738dbc6e38167776107e63307dfc8ad108e580548d1f2c587f42"},
+    {file = "yarl-1.9.4-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d8b889777de69897406c9fb0b76cdf2fd0f31267861ae7501d93003d55f54fbe"},
+    {file = "yarl-1.9.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:03caa9507d3d3c83bca08650678e25364e1843b484f19986a527630ca376ecce"},
+    {file = "yarl-1.9.4-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:4e9035df8d0880b2f1c7f5031f33f69e071dfe72ee9310cfc76f7b605958ceb9"},
+    {file = "yarl-1.9.4-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:c0ec0ed476f77db9fb29bca17f0a8fcc7bc97ad4c6c1d8959c507decb22e8572"},
+    {file = "yarl-1.9.4-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:ee04010f26d5102399bd17f8df8bc38dc7ccd7701dc77f4a68c5b8d733406958"},
+    {file = "yarl-1.9.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:49a180c2e0743d5d6e0b4d1a9e5f633c62eca3f8a86ba5dd3c471060e352ca98"},
+    {file = "yarl-1.9.4-cp311-cp311-win32.whl", hash = "sha256:81eb57278deb6098a5b62e88ad8281b2ba09f2f1147c4767522353eaa6260b31"},
+    {file = "yarl-1.9.4-cp311-cp311-win_amd64.whl", hash = "sha256:d1d2532b340b692880261c15aee4dc94dd22ca5d61b9db9a8a361953d36410b1"},
+    {file = "yarl-1.9.4-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:0d2454f0aef65ea81037759be5ca9947539667eecebca092733b2eb43c965a81"},
+    {file = "yarl-1.9.4-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:44d8ffbb9c06e5a7f529f38f53eda23e50d1ed33c6c869e01481d3fafa6b8142"},
+    {file = "yarl-1.9.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:aaaea1e536f98754a6e5c56091baa1b6ce2f2700cc4a00b0d49eca8dea471074"},
+    {file = "yarl-1.9.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3777ce5536d17989c91696db1d459574e9a9bd37660ea7ee4d3344579bb6f129"},
+    {file = "yarl-1.9.4-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9fc5fc1eeb029757349ad26bbc5880557389a03fa6ada41703db5e068881e5f2"},
+    {file = "yarl-1.9.4-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:ea65804b5dc88dacd4a40279af0cdadcfe74b3e5b4c897aa0d81cf86927fee78"},
+    {file = "yarl-1.9.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aa102d6d280a5455ad6a0f9e6d769989638718e938a6a0a2ff3f4a7ff8c62cc4"},
+    {file = "yarl-1.9.4-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:09efe4615ada057ba2d30df871d2f668af661e971dfeedf0c159927d48bbeff0"},
+    {file = "yarl-1.9.4-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:008d3e808d03ef28542372d01057fd09168419cdc8f848efe2804f894ae03e51"},
+    {file = "yarl-1.9.4-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:6f5cb257bc2ec58f437da2b37a8cd48f666db96d47b8a3115c29f316313654ff"},
+    {file = "yarl-1.9.4-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:992f18e0ea248ee03b5a6e8b3b4738850ae7dbb172cc41c966462801cbf62cf7"},
+    {file = "yarl-1.9.4-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:0e9d124c191d5b881060a9e5060627694c3bdd1fe24c5eecc8d5d7d0eb6faabc"},
+    {file = "yarl-1.9.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:3986b6f41ad22988e53d5778f91855dc0399b043fc8946d4f2e68af22ee9ff10"},
+    {file = "yarl-1.9.4-cp312-cp312-win32.whl", hash = "sha256:4b21516d181cd77ebd06ce160ef8cc2a5e9ad35fb1c5930882baff5ac865eee7"},
+    {file = "yarl-1.9.4-cp312-cp312-win_amd64.whl", hash = "sha256:a9bd00dc3bc395a662900f33f74feb3e757429e545d831eef5bb280252631984"},
+    {file = "yarl-1.9.4-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:63b20738b5aac74e239622d2fe30df4fca4942a86e31bf47a81a0e94c14df94f"},
+    {file = "yarl-1.9.4-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d7d7f7de27b8944f1fee2c26a88b4dabc2409d2fea7a9ed3df79b67277644e17"},
+    {file = "yarl-1.9.4-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c74018551e31269d56fab81a728f683667e7c28c04e807ba08f8c9e3bba32f14"},
+    {file = "yarl-1.9.4-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:ca06675212f94e7a610e85ca36948bb8fc023e458dd6c63ef71abfd482481aa5"},
+    {file = "yarl-1.9.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5aef935237d60a51a62b86249839b51345f47564208c6ee615ed2a40878dccdd"},
+    {file = "yarl-1.9.4-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2b134fd795e2322b7684155b7855cc99409d10b2e408056db2b93b51a52accc7"},
+    {file = "yarl-1.9.4-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:d25039a474c4c72a5ad4b52495056f843a7ff07b632c1b92ea9043a3d9950f6e"},
+    {file = "yarl-1.9.4-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:f7d6b36dd2e029b6bcb8a13cf19664c7b8e19ab3a58e0fefbb5b8461447ed5ec"},
+    {file = "yarl-1.9.4-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:957b4774373cf6f709359e5c8c4a0af9f6d7875db657adb0feaf8d6cb3c3964c"},
+    {file = "yarl-1.9.4-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:d7eeb6d22331e2fd42fce928a81c697c9ee2d51400bd1a28803965883e13cead"},
+    {file = "yarl-1.9.4-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:6a962e04b8f91f8c4e5917e518d17958e3bdee71fd1d8b88cdce74dd0ebbf434"},
+    {file = "yarl-1.9.4-cp37-cp37m-win32.whl", hash = "sha256:f3bc6af6e2b8f92eced34ef6a96ffb248e863af20ef4fde9448cc8c9b858b749"},
+    {file = "yarl-1.9.4-cp37-cp37m-win_amd64.whl", hash = "sha256:ad4d7a90a92e528aadf4965d685c17dacff3df282db1121136c382dc0b6014d2"},
+    {file = "yarl-1.9.4-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:ec61d826d80fc293ed46c9dd26995921e3a82146feacd952ef0757236fc137be"},
+    {file = "yarl-1.9.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:8be9e837ea9113676e5754b43b940b50cce76d9ed7d2461df1af39a8ee674d9f"},
+    {file = "yarl-1.9.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:bef596fdaa8f26e3d66af846bbe77057237cb6e8efff8cd7cc8dff9a62278bbf"},
+    {file = "yarl-1.9.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2d47552b6e52c3319fede1b60b3de120fe83bde9b7bddad11a69fb0af7db32f1"},
+    {file = "yarl-1.9.4-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:84fc30f71689d7fc9168b92788abc977dc8cefa806909565fc2951d02f6b7d57"},
+    {file = "yarl-1.9.4-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4aa9741085f635934f3a2583e16fcf62ba835719a8b2b28fb2917bb0537c1dfa"},
+    {file = "yarl-1.9.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:206a55215e6d05dbc6c98ce598a59e6fbd0c493e2de4ea6cc2f4934d5a18d130"},
+    {file = "yarl-1.9.4-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:07574b007ee20e5c375a8fe4a0789fad26db905f9813be0f9fef5a68080de559"},
+    {file = "yarl-1.9.4-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:5a2e2433eb9344a163aced6a5f6c9222c0786e5a9e9cac2c89f0b28433f56e23"},
+    {file = "yarl-1.9.4-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:6ad6d10ed9b67a382b45f29ea028f92d25bc0bc1daf6c5b801b90b5aa70fb9ec"},
+    {file = "yarl-1.9.4-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:6fe79f998a4052d79e1c30eeb7d6c1c1056ad33300f682465e1b4e9b5a188b78"},
+    {file = "yarl-1.9.4-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:a825ec844298c791fd28ed14ed1bffc56a98d15b8c58a20e0e08c1f5f2bea1be"},
+    {file = "yarl-1.9.4-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:8619d6915b3b0b34420cf9b2bb6d81ef59d984cb0fde7544e9ece32b4b3043c3"},
+    {file = "yarl-1.9.4-cp38-cp38-win32.whl", hash = "sha256:686a0c2f85f83463272ddffd4deb5e591c98aac1897d65e92319f729c320eece"},
+    {file = "yarl-1.9.4-cp38-cp38-win_amd64.whl", hash = "sha256:a00862fb23195b6b8322f7d781b0dc1d82cb3bcac346d1e38689370cc1cc398b"},
+    {file = "yarl-1.9.4-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:604f31d97fa493083ea21bd9b92c419012531c4e17ea6da0f65cacdcf5d0bd27"},
+    {file = "yarl-1.9.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:8a854227cf581330ffa2c4824d96e52ee621dd571078a252c25e3a3b3d94a1b1"},
+    {file = "yarl-1.9.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ba6f52cbc7809cd8d74604cce9c14868306ae4aa0282016b641c661f981a6e91"},
+    {file = "yarl-1.9.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a6327976c7c2f4ee6816eff196e25385ccc02cb81427952414a64811037bbc8b"},
+    {file = "yarl-1.9.4-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8397a3817d7dcdd14bb266283cd1d6fc7264a48c186b986f32e86d86d35fbac5"},
+    {file = "yarl-1.9.4-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e0381b4ce23ff92f8170080c97678040fc5b08da85e9e292292aba67fdac6c34"},
+    {file = "yarl-1.9.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:23d32a2594cb5d565d358a92e151315d1b2268bc10f4610d098f96b147370136"},
+    {file = "yarl-1.9.4-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ddb2a5c08a4eaaba605340fdee8fc08e406c56617566d9643ad8bf6852778fc7"},
+    {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:26a1dc6285e03f3cc9e839a2da83bcbf31dcb0d004c72d0730e755b33466c30e"},
+    {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:18580f672e44ce1238b82f7fb87d727c4a131f3a9d33a5e0e82b793362bf18b4"},
+    {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:29e0f83f37610f173eb7e7b5562dd71467993495e568e708d99e9d1944f561ec"},
+    {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:1f23e4fe1e8794f74b6027d7cf19dc25f8b63af1483d91d595d4a07eca1fb26c"},
+    {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:db8e58b9d79200c76956cefd14d5c90af54416ff5353c5bfd7cbe58818e26ef0"},
+    {file = "yarl-1.9.4-cp39-cp39-win32.whl", hash = "sha256:c7224cab95645c7ab53791022ae77a4509472613e839dab722a72abe5a684575"},
+    {file = "yarl-1.9.4-cp39-cp39-win_amd64.whl", hash = "sha256:824d6c50492add5da9374875ce72db7a0733b29c2394890aef23d533106e2b15"},
+    {file = "yarl-1.9.4-py3-none-any.whl", hash = "sha256:928cecb0ef9d5a7946eb6ff58417ad2fe9375762382f1bf5c55e61645f2c43ad"},
+    {file = "yarl-1.9.4.tar.gz", hash = "sha256:566db86717cf8080b99b58b083b773a908ae40f06681e87e589a976faf8246bf"},
+]
+
+[package.dependencies]
+idna = ">=2.0"
+multidict = ">=4.0"
+
 [[package]]
 name = "zarr"
 version = "2.17.1"
@@ -3323,10 +3911,12 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
 
 [extras]
 aloha = ["gym-aloha"]
+dev = ["debugpy", "pre-commit"]
 pusht = ["gym-pusht"]
+test = ["pytest", "pytest-cov"]
 xarm = ["gym-xarm"]
 
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "8fa6dfc30e605741c24f5de58b89125d5b02153f550e5af7a44356956d6bb167"
+content-hash = "bd9c506d2499d5e1e3b5e8b1a0f65df45c8feef38d89d0daeade56847fdb6a2e"
diff --git a/.github/poetry/cpu/pyproject.toml b/.github/poetry/cpu/pyproject.toml
index f5c439dc..b13a9e97 100644
--- a/.github/poetry/cpu/pyproject.toml
+++ b/.github/poetry/cpu/pyproject.toml
@@ -1,19 +1,25 @@
 [tool.poetry]
 name = "lerobot"
 version = "0.1.0"
-description = "Le robot is learning"
+description = "🤗 LeRobot: State-of-the-art Machine Learning for Real-World Robotics in Pytorch"
 authors = [
     "Rémi Cadène <re.cadene@gmail.com>",
+    "Alexander Soare <alexander.soare159@gmail.com>",
+    "Quentin Gallouédec <quentin.gallouedec@ec-lyon.fr>",
     "Simon Alibert <alibert.sim@gmail.com>",
+    "Thomas Wolf <thomaswolfcontact@gmail.com>",
 ]
-repository = "https://github.com/Cadene/lerobot"
+repository = "https://github.com/huggingface/lerobot"
 readme = "README.md"
-license = "MIT"
+license = "Apache-2.0"
 classifiers=[
     "Development Status :: 3 - Alpha",
     "Intended Audience :: Developers",
+    "Intended Audience :: Education",
+    "Intended Audience :: Science/Research",
     "Topic :: Software Development :: Build Tools",
-    "License :: OSI Approved :: MIT License",
+    "Topic :: Scientific/Engineering :: Artificial Intelligence",
+    "License :: OSI Approved :: Apache Software License",
     "Programming Language :: Python :: 3.10",
 ]
 packages = [{include = "lerobot"}]
@@ -23,53 +29,39 @@ packages = [{include = "lerobot"}]
 python = "^3.10"
 termcolor = "^2.4.0"
 omegaconf = "^2.3.0"
-pandas = "^2.2.1"
 wandb = "^0.16.3"
-moviepy = "^1.0.3"
-imageio = {extras = ["pyav"], version = "^2.34.0"}
+imageio = {extras = ["ffmpeg"], version = "^2.34.0"}
 gdown = "^5.1.0"
 hydra-core = "^1.3.2"
 einops = "^0.7.0"
-pygame = "^2.5.2"
 pymunk = "^6.6.0"
 zarr = "^2.17.0"
 numba = "^0.59.0"
-mpmath = "^1.3.0"
 torch = {version = "^2.2.1", source = "torch-cpu"}
 opencv-python = "^4.9.0.80"
 diffusers = "^0.26.3"
 torchvision = {version = "^0.17.1", source = "torch-cpu"}
 h5py = "^3.10.0"
-robomimic = "0.2.0"
 huggingface-hub = "^0.21.4"
+robomimic = "0.2.0"
 gymnasium = "^0.29.1"
 cmake = "^3.29.0.1"
 gym-pusht = { git = "git@github.com:huggingface/gym-pusht.git", optional = true}
 gym-xarm = { git = "git@github.com:huggingface/gym-xarm.git", optional = true}
 gym-aloha = { git = "git@github.com:huggingface/gym-aloha.git", optional = true}
-# gym-pusht = { path = "../gym-pusht", develop = true, optional = true}
-# gym-xarm = { path = "../gym-xarm", develop = true, optional = true}
-# gym-aloha = { path = "../gym-aloha", develop = true, optional = true}
+pre-commit = {version = "^3.7.0", optional = true}
+debugpy = {version = "^1.8.1", optional = true}
+pytest = {version = "^8.1.0", optional = true}
+pytest-cov = {version = "^5.0.0", optional = true}
+datasets = "^2.18.0"
 
 
 [tool.poetry.extras]
 pusht = ["gym-pusht"]
 xarm = ["gym-xarm"]
 aloha = ["gym-aloha"]
-
-
-[tool.poetry.group.dev]
-optional = true
-
-
-[tool.poetry.group.dev.dependencies]
-pre-commit = "^3.6.2"
-debugpy = "^1.8.1"
-
-
-[tool.poetry.group.test.dependencies]
-pytest = "^8.1.0"
-pytest-cov = "^5.0.0"
+dev = ["pre-commit", "debugpy"]
+test = ["pytest", "pytest-cov"]
 
 
 [[tool.poetry.source]]
@@ -110,10 +102,6 @@ exclude = [
 select = ["E4", "E7", "E9", "F", "I", "N", "B", "C4", "SIM"]
 
 
-[tool.poetry-dynamic-versioning]
-enable = true
-
-
 [build-system]
-requires = ["poetry-core>=1.0.0", "poetry-dynamic-versioning>=1.0.0,<2.0.0"]
-build-backend = "poetry_dynamic_versioning.backend"
+requires = ["poetry-core>=1.5.0"]
+build-backend = "poetry.core.masonry.api"
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 765b678a..1d0fb555 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -3,7 +3,7 @@ default_language_version:
     python: python3.10
 repos:
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v4.5.0
+    rev: v4.6.0
     hooks:
       - id: check-added-large-files
       - id: debug-statements
@@ -18,7 +18,7 @@ repos:
     hooks:
     -   id: pyupgrade
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.3.4
+    rev: v0.3.7
     hooks:
       - id: ruff
         args: [--fix]
diff --git a/CODE_OF_CONDUCT.md b/CODE_OF_CONDUCT.md
new file mode 100644
index 00000000..04a05275
--- /dev/null
+++ b/CODE_OF_CONDUCT.md
@@ -0,0 +1,133 @@
+
+# Contributor Covenant Code of Conduct
+
+## Our Pledge
+
+We as members, contributors, and leaders pledge to make participation in our
+community a harassment-free experience for everyone, regardless of age, body
+size, visible or invisible disability, ethnicity, sex characteristics, gender
+identity and expression, level of experience, education, socio-economic status,
+nationality, personal appearance, race, caste, color, religion, or sexual
+identity and orientation.
+
+We pledge to act and interact in ways that contribute to an open, welcoming,
+diverse, inclusive, and healthy community.
+
+## Our Standards
+
+Examples of behavior that contributes to a positive environment for our
+community include:
+
+* Demonstrating empathy and kindness toward other people
+* Being respectful of differing opinions, viewpoints, and experiences
+* Giving and gracefully accepting constructive feedback
+* Accepting responsibility and apologizing to those affected by our mistakes,
+  and learning from the experience
+* Focusing on what is best not just for us as individuals, but for the overall
+  community
+
+Examples of unacceptable behavior include:
+
+* The use of sexualized language or imagery, and sexual attention or advances of
+  any kind
+* Trolling, insulting or derogatory comments, and personal or political attacks
+* Public or private harassment
+* Publishing others' private information, such as a physical or email address,
+  without their explicit permission
+* Other conduct which could reasonably be considered inappropriate in a
+  professional setting
+
+## Enforcement Responsibilities
+
+Community leaders are responsible for clarifying and enforcing our standards of
+acceptable behavior and will take appropriate and fair corrective action in
+response to any behavior that they deem inappropriate, threatening, offensive,
+or harmful.
+
+Community leaders have the right and responsibility to remove, edit, or reject
+comments, commits, code, wiki edits, issues, and other contributions that are
+not aligned to this Code of Conduct, and will communicate reasons for moderation
+decisions when appropriate.
+
+## Scope
+
+This Code of Conduct applies within all community spaces, and also applies when
+an individual is officially representing the community in public spaces.
+Examples of representing our community include using an official email address,
+posting via an official social media account, or acting as an appointed
+representative at an online or offline event.
+
+## Enforcement
+
+Instances of abusive, harassing, or otherwise unacceptable behavior may be
+reported to the community leaders responsible for enforcement at
+[feedback@huggingface.co](mailto:feedback@huggingface.co).
+All complaints will be reviewed and investigated promptly and fairly.
+
+All community leaders are obligated to respect the privacy and security of the
+reporter of any incident.
+
+## Enforcement Guidelines
+
+Community leaders will follow these Community Impact Guidelines in determining
+the consequences for any action they deem in violation of this Code of Conduct:
+
+### 1. Correction
+
+**Community Impact**: Use of inappropriate language or other behavior deemed
+unprofessional or unwelcome in the community.
+
+**Consequence**: A private, written warning from community leaders, providing
+clarity around the nature of the violation and an explanation of why the
+behavior was inappropriate. A public apology may be requested.
+
+### 2. Warning
+
+**Community Impact**: A violation through a single incident or series of
+actions.
+
+**Consequence**: A warning with consequences for continued behavior. No
+interaction with the people involved, including unsolicited interaction with
+those enforcing the Code of Conduct, for a specified period of time. This
+includes avoiding interactions in community spaces as well as external channels
+like social media. Violating these terms may lead to a temporary or permanent
+ban.
+
+### 3. Temporary Ban
+
+**Community Impact**: A serious violation of community standards, including
+sustained inappropriate behavior.
+
+**Consequence**: A temporary ban from any sort of interaction or public
+communication with the community for a specified period of time. No public or
+private interaction with the people involved, including unsolicited interaction
+with those enforcing the Code of Conduct, is allowed during this period.
+Violating these terms may lead to a permanent ban.
+
+### 4. Permanent Ban
+
+**Community Impact**: Demonstrating a pattern of violation of community
+standards, including sustained inappropriate behavior, harassment of an
+individual, or aggression toward or disparagement of classes of individuals.
+
+**Consequence**: A permanent ban from any sort of public interaction within the
+community.
+
+## Attribution
+
+This Code of Conduct is adapted from the [Contributor Covenant][homepage],
+version 2.1, available at
+[https://www.contributor-covenant.org/version/2/1/code_of_conduct.html][v2.1].
+
+Community Impact Guidelines were inspired by
+[Mozilla's code of conduct enforcement ladder][Mozilla CoC].
+
+For answers to common questions about this code of conduct, see the FAQ at
+[https://www.contributor-covenant.org/faq][FAQ]. Translations are available at
+[https://www.contributor-covenant.org/translations][translations].
+
+[homepage]: https://www.contributor-covenant.org
+[v2.1]: https://www.contributor-covenant.org/version/2/1/code_of_conduct.html
+[Mozilla CoC]: https://github.com/mozilla/diversity
+[FAQ]: https://www.contributor-covenant.org/faq
+[translations]: https://www.contributor-covenant.org/translations
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
new file mode 100644
index 00000000..0b40d81a
--- /dev/null
+++ b/CONTRIBUTING.md
@@ -0,0 +1,254 @@
+# How to contribute to 🤗 LeRobot?
+
+Everyone is welcome to contribute, and we value everybody's contribution. Code
+is thus not the only way to help the community. Answering questions, helping
+others, reaching out and improving the documentations are immensely valuable to
+the community.
+
+It also helps us if you spread the word: reference the library from blog posts
+on the awesome projects it made possible, shout out on Twitter when it has
+helped you, or simply ⭐️ the repo to say "thank you".
+
+Whichever way you choose to contribute, please be mindful to respect our
+[code of conduct](https://github.com/huggingface/lerobot/blob/main/CODE_OF_CONDUCT.md).
+
+## You can contribute in so many ways!
+
+Some of the ways you can contribute to 🤗 LeRobot:
+* Fixing outstanding issues with the existing code.
+* Implementing new models, datasets or simulation environments.
+* Contributing to the examples or to the documentation.
+* Submitting issues related to bugs or desired new features.
+
+Following the guides below, feel free to open issues and PRs and to coordinate your efforts with the community on our [Discord Channel](https://discord.gg/VjFz58wn3R). For specific inquiries, reach out to [Remi Cadene](remi.cadene@huggingface.co).
+
+If you are not sure how to contribute or want to know the next features we working on, look on this project page: [LeRobot TODO](https://github.com/orgs/huggingface/projects/46)
+
+## Submitting a new issue or feature request
+
+Do your best to follow these guidelines when submitting an issue or a feature
+request. It will make it easier for us to come back to you quickly and with good
+feedback.
+
+### Did you find a bug?
+
+The 🤗 LeRobot library is robust and reliable thanks to the users who notify us of
+the problems they encounter. So thank you for reporting an issue.
+
+First, we would really appreciate it if you could **make sure the bug was not
+already reported** (use the search bar on Github under Issues).
+
+Did not find it? :( So we can act quickly on it, please follow these steps:
+
+* Include your **OS type and version**, the versions of **Python** and **PyTorch**.
+* A short, self-contained, code snippet that allows us to reproduce the bug in
+  less than 30s.
+* The full traceback if an exception is raised.
+* Attach any other additional information, like screenshots, you think may help.
+
+### Do you want a new feature?
+
+A good feature request addresses the following points:
+
+1. Motivation first:
+* Is it related to a problem/frustration with the library? If so, please explain
+  why. Providing a code snippet that demonstrates the problem is best.
+* Is it related to something you would need for a project? We'd love to hear
+  about it!
+* Is it something you worked on and think could benefit the community?
+  Awesome! Tell us what problem it solved for you.
+2. Write a *paragraph* describing the feature.
+3. Provide a **code snippet** that demonstrates its future use.
+4. In case this is related to a paper, please attach a link.
+5. Attach any additional information (drawings, screenshots, etc.) you think may help.
+
+If your issue is well written we're already 80% of the way there by the time you
+post it.
+
+## Submitting a pull request (PR)
+
+Before writing code, we strongly advise you to search through the existing PRs or
+issues to make sure that nobody is already working on the same thing. If you are
+unsure, it is always a good idea to open an issue to get some feedback.
+
+You will need basic `git` proficiency to be able to contribute to
+🤗 LeRobot. `git` is not the easiest tool to use but it has the greatest
+manual. Type `git --help` in a shell and enjoy. If you prefer books, [Pro
+Git](https://git-scm.com/book/en/v2) is a very good reference.
+
+Follow these steps to start contributing:
+
+1. Fork the [repository](https://github.com/huggingface/lerobot) by
+   clicking on the 'Fork' button on the repository's page. This creates a copy of the code
+   under your GitHub user account.
+
+2. Clone your fork to your local disk, and add the base repository as a remote. The following command
+   assumes you have your public SSH key uploaded to GitHub. See the following guide for more
+   [information](https://docs.github.com/en/repositories/creating-and-managing-repositories/cloning-a-repository).
+
+   ```bash
+   git clone git@github.com:<your Github handle>/lerobot.git
+   cd lerobot
+   git remote add upstream https://github.com/huggingface/lerobot.git
+   ```
+
+3. Create a new branch to hold your development changes, and do this for every new PR you work on.
+
+   Start by synchronizing your `main` branch with the `upstream/main` branch (more details in the [GitHub Docs](https://docs.github.com/en/github/collaborating-with-issues-and-pull-requests/syncing-a-fork)):
+
+   ```bash
+   git checkout main
+   git fetch upstream
+   git rebase upstream/main
+   ```
+
+   Once your `main` branch is synchronized, create a new branch from it:
+
+   ```bash
+   git checkout -b a-descriptive-name-for-my-changes
+   ```
+
+   🚨 **Do not** work on the `main` branch.
+
+4. Instead of using `pip` directly, we use `poetry` for development purposes 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:
+   ```bash
+   poetry install --sync --with dev --all-extras
+   ```
+   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:
+   ```bash
+   poetry install --sync --with dev --extras "aloha pusht"
+   ```
+
+   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.
+   ```bash
+   poetry lock --no-update
+   ```
+
+   **NOTE:** Currently, to ensure the CI works properly, any new package must also be added in the    CPU-only environment dedicated to the CI. To do this, you should create a separate environment and    add the new package there as well. For example:
+   ```bash
+   # Add the new package to your main poetry env
+   poetry add some-package
+   # Add the same package to the CPU-only env dedicated to CI
+   conda create -y -n lerobot-ci python=3.10
+   conda activate lerobot-ci
+   cd .github/poetry/cpu
+   poetry add some-package
+   ```
+
+5. Develop the features on your branch.
+
+   As you work on the features, you should make sure that the test suite
+   passes. You should run the tests impacted by your changes like this (see
+   below an explanation regarding the environment variable):
+
+   ```bash
+   pytest tests/<TEST_TO_RUN>.py
+   ```
+
+6. Follow our style.
+
+   `lerobot` relies on `ruff` to format its source code
+   consistently. Set up [`pre-commit`](https://pre-commit.com/) to run these checks
+   automatically as Git commit hooks.
+
+   Install `pre-commit` hooks:
+   ```bash
+   pre-commit install
+   ```
+
+   You can run these hooks whenever you need on staged files with:
+   ```bash
+   pre-commit
+   ```
+
+   Once you're happy with your changes, add changed files using `git add` and
+   make a commit with `git commit` to record your changes locally:
+
+   ```bash
+   git add modified_file.py
+   git commit
+   ```
+
+   Please write [good commit messages](https://chris.beams.io/posts/git-commit/).
+
+   It is a good idea to sync your copy of the code with the original
+   repository regularly. This way you can quickly account for changes:
+
+   ```bash
+   git fetch upstream
+   git rebase upstream/main
+   ```
+
+   Push the changes to your account using:
+
+   ```bash
+   git push -u origin a-descriptive-name-for-my-changes
+   ```
+
+6. Once you are satisfied (**and the checklist below is happy too**), go to the
+   webpage of your fork on GitHub. Click on 'Pull request' to send your changes
+   to the project maintainers for review.
+
+7. It's ok if maintainers ask you for changes. It happens to core contributors
+   too! So everyone can see the changes in the Pull request, work in your local
+   branch and push the changes to your fork. They will automatically appear in
+   the pull request.
+
+
+### Checklist
+
+1. The title of your pull request should be a summary of its contribution;
+2. If your pull request addresses an issue, please mention the issue number in
+   the pull request description to make sure they are linked (and people
+   consulting the issue know you are working on it);
+3. To indicate a work in progress please prefix the title with `[WIP]`, or preferably mark
+   the PR as a draft PR. These are useful to avoid duplicated work, and to differentiate
+   it from PRs ready to be merged;
+4. Make sure existing tests pass;
+<!-- 5. Add high-coverage tests. No quality testing = no merge.
+
+See an example of a good PR here: https://github.com/huggingface/lerobot/pull/ -->
+
+### Tests
+
+An extensive test suite is included to test the library behavior and several examples. Library tests can be found in the [tests folder](https://github.com/huggingface/lerobot/tree/main/tests).
+
+Install [git lfs](https://git-lfs.com/) to retrieve test artifacts (if you don't have it already).
+
+On Mac:
+```bash
+brew install git-lfs
+git lfs install
+```
+
+On Ubuntu:
+```bash
+sudo apt-get install git-lfs
+git lfs install
+```
+
+Pull artifacts if they're not in [tests/data](tests/data)
+```bash
+git lfs pull
+```
+
+We use `pytest` in order to run the tests. From the root of the
+repository, here's how to run tests with `pytest` for the library:
+
+```bash
+DATA_DIR="tests/data" python -m pytest -sv ./tests
+```
+
+
+You can specify a smaller set of tests in order to test only the feature
+you're working on.
diff --git a/README.md b/README.md
index 25b8d1e4..202b90e6 100644
--- a/README.md
+++ b/README.md
@@ -17,6 +17,7 @@
 [![Status](https://img.shields.io/pypi/status/lerobot)](https://pypi.org/project/lerobot/)
 [![Version](https://img.shields.io/pypi/v/lerobot)](https://pypi.org/project/lerobot/)
 [![Examples](https://img.shields.io/badge/Examples-green.svg)](https://github.com/huggingface/lerobot/tree/main/examples)
+[![Contributor Covenant](https://img.shields.io/badge/Contributor%20Covenant-v2.1%20adopted-ff69b4.svg)](https://github.com/huggingface/lerobot/blob/main/CODE_OF_CONDUCT.md)
 [![Discord](https://dcbadge.vercel.app/api/server/C5P34WJ68S?style=flat)](https://discord.gg/s3KuuzsPFb)
 
 </div>
@@ -189,89 +190,7 @@ hydra.run.dir=outputs/train/aloha_act
 
 ## Contribute
 
-Feel free to open issues and PRs, and to coordinate your efforts with the community on our [Discord Channel](https://discord.gg/VjFz58wn3R). For specific inquiries, reach out to [Remi Cadene](remi.cadene@huggingface.co).
-
-### TODO
-
-If you are not sure how to contribute or want to know the next features we working on, look on this project page: [LeRobot TODO](https://github.com/orgs/huggingface/projects/46)
-
-### Follow our style
-
-```bash
-# install if needed
-pre-commit install
-# apply style and linter checks before git commit
-pre-commit
-```
-
-### Dependencies
-
-Instead of using `pip` directly, we use `poetry` for development purposes to easily track our dependencies.
-If you don't have it already, follow the [instructions](https://python-poetry.org/docs/#installation) to install it.
-
-Install the project with dev dependencies and all environments:
-```bash
-poetry install --sync --with dev --all-extras
-```
-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:
-```bash
-poetry install --sync --with dev --extras "aloha pusht"
-```
-
-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.
-```bash
-poetry lock --no-update
-```
-
-
-**NOTE:** Currently, to ensure the CI works properly, any new package must also be added in the CPU-only environment dedicated to the CI. To do this, you should create a separate environment and add the new package there as well. For example:
-```bash
-# Add the new package to your main poetry env
-poetry add some-package
-# Add the same package to the CPU-only env dedicated to CI
-conda create -y -n lerobot-ci python=3.10
-conda activate lerobot-ci
-cd .github/poetry/cpu
-poetry add some-package
-```
-
-### Run tests locally
-
-Install [git lfs](https://git-lfs.com/) to retrieve test artifacts (if you don't have it already).
-
-On Mac:
-```bash
-brew install git-lfs
-git lfs install
-```
-
-On Ubuntu:
-```bash
-sudo apt-get install git-lfs
-git lfs install
-```
-
-Pull artifacts if they're not in [tests/data](tests/data)
-```bash
-git lfs pull
-```
-
-When adding a new dataset, mock it with
-```bash
-python tests/scripts/mock_dataset.py --in-data-dir data/$DATASET --out-data-dir tests/data/$DATASET
-```
-
-Run tests
-```bash
-DATA_DIR="tests/data" pytest -sx tests
-```
+If you would like to contribute to 🤗 LeRobot, please check out our [contribution guide](https://github.com/huggingface/lerobot/blob/main/CONTRIBUTING.md).
 
 ### Add a new dataset
 
diff --git a/download_and_upload_dataset.py b/download_and_upload_dataset.py
new file mode 100644
index 00000000..2d339221
--- /dev/null
+++ b/download_and_upload_dataset.py
@@ -0,0 +1,487 @@
+"""
+This file contains all obsolete download scripts. They are centralized here to not have to load
+useless dependencies when using datasets.
+"""
+
+import io
+import pickle
+import shutil
+from pathlib import Path
+
+import einops
+import h5py
+import numpy as np
+import torch
+import tqdm
+from datasets import Dataset, Features, Image, Sequence, Value
+from PIL import Image as PILImage
+
+
+def download_and_upload(root, root_tests, dataset_id):
+    if "pusht" in dataset_id:
+        download_and_upload_pusht(root, root_tests, dataset_id)
+    elif "xarm" in dataset_id:
+        download_and_upload_xarm(root, root_tests, dataset_id)
+    elif "aloha" in dataset_id:
+        download_and_upload_aloha(root, root_tests, dataset_id)
+    else:
+        raise ValueError(dataset_id)
+
+
+def download_and_extract_zip(url: str, destination_folder: Path) -> bool:
+    import zipfile
+
+    import requests
+
+    print(f"downloading from {url}")
+    response = requests.get(url, stream=True)
+    if response.status_code == 200:
+        total_size = int(response.headers.get("content-length", 0))
+        progress_bar = tqdm.tqdm(total=total_size, unit="B", unit_scale=True)
+
+        zip_file = io.BytesIO()
+        for chunk in response.iter_content(chunk_size=1024):
+            if chunk:
+                zip_file.write(chunk)
+                progress_bar.update(len(chunk))
+
+        progress_bar.close()
+
+        zip_file.seek(0)
+
+        with zipfile.ZipFile(zip_file, "r") as zip_ref:
+            zip_ref.extractall(destination_folder)
+        return True
+    else:
+        return False
+
+
+def download_and_upload_pusht(root, root_tests, dataset_id="pusht", fps=10):
+    try:
+        import pymunk
+        from gym_pusht.envs.pusht import PushTEnv, pymunk_to_shapely
+
+        from lerobot.common.datasets._diffusion_policy_replay_buffer import (
+            ReplayBuffer as DiffusionPolicyReplayBuffer,
+        )
+    except ModuleNotFoundError as e:
+        print("`gym_pusht` is not installed. Please install it with `pip install 'lerobot[gym_pusht]'`")
+        raise e
+
+    # as define in env
+    success_threshold = 0.95  # 95% coverage,
+
+    pusht_url = "https://diffusion-policy.cs.columbia.edu/data/training/pusht.zip"
+    pusht_zarr = Path("pusht/pusht_cchi_v7_replay.zarr")
+
+    root = Path(root)
+    raw_dir = root / f"{dataset_id}_raw"
+    zarr_path = (raw_dir / pusht_zarr).resolve()
+    if not zarr_path.is_dir():
+        raw_dir.mkdir(parents=True, exist_ok=True)
+        download_and_extract_zip(pusht_url, raw_dir)
+
+    # load
+    dataset_dict = DiffusionPolicyReplayBuffer.copy_from_path(zarr_path)  # , keys=['img', 'state', 'action'])
+
+    episode_ids = torch.from_numpy(dataset_dict.get_episode_idxs())
+    num_episodes = dataset_dict.meta["episode_ends"].shape[0]
+    assert len(
+        {dataset_dict[key].shape[0] for key in dataset_dict.keys()}  # noqa: SIM118
+    ), "Some data type dont have the same number of total frames."
+
+    # TODO: verify that goal pose is expected to be fixed
+    goal_pos_angle = np.array([256, 256, np.pi / 4])  # x, y, theta (in radians)
+    goal_body = PushTEnv.get_goal_pose_body(goal_pos_angle)
+
+    imgs = torch.from_numpy(dataset_dict["img"])  # b h w c
+    states = torch.from_numpy(dataset_dict["state"])
+    actions = torch.from_numpy(dataset_dict["action"])
+
+    ep_dicts = []
+
+    id_from = 0
+    for episode_id in tqdm.tqdm(range(num_episodes)):
+        id_to = dataset_dict.meta["episode_ends"][episode_id]
+
+        num_frames = id_to - id_from
+
+        assert (episode_ids[id_from:id_to] == episode_id).all()
+
+        image = imgs[id_from:id_to]
+        assert image.min() >= 0.0
+        assert image.max() <= 255.0
+        image = image.type(torch.uint8)
+
+        state = states[id_from:id_to]
+        agent_pos = state[:, :2]
+        block_pos = state[:, 2:4]
+        block_angle = state[:, 4]
+
+        reward = torch.zeros(num_frames)
+        success = torch.zeros(num_frames, dtype=torch.bool)
+        done = torch.zeros(num_frames, dtype=torch.bool)
+        for i in range(num_frames):
+            space = pymunk.Space()
+            space.gravity = 0, 0
+            space.damping = 0
+
+            # Add walls.
+            walls = [
+                PushTEnv.add_segment(space, (5, 506), (5, 5), 2),
+                PushTEnv.add_segment(space, (5, 5), (506, 5), 2),
+                PushTEnv.add_segment(space, (506, 5), (506, 506), 2),
+                PushTEnv.add_segment(space, (5, 506), (506, 506), 2),
+            ]
+            space.add(*walls)
+
+            block_body = PushTEnv.add_tee(space, block_pos[i].tolist(), block_angle[i].item())
+            goal_geom = pymunk_to_shapely(goal_body, block_body.shapes)
+            block_geom = pymunk_to_shapely(block_body, block_body.shapes)
+            intersection_area = goal_geom.intersection(block_geom).area
+            goal_area = goal_geom.area
+            coverage = intersection_area / goal_area
+            reward[i] = np.clip(coverage / success_threshold, 0, 1)
+            success[i] = coverage > success_threshold
+
+        # last step of demonstration is considered done
+        done[-1] = True
+
+        ep_dict = {
+            "observation.image": [PILImage.fromarray(x.numpy()) for x in image],
+            "observation.state": agent_pos,
+            "action": actions[id_from:id_to],
+            "episode_id": torch.tensor([episode_id] * num_frames, dtype=torch.int),
+            "frame_id": torch.arange(0, num_frames, 1),
+            "timestamp": torch.arange(0, num_frames, 1) / fps,
+            # "next.observation.image": image[1:],
+            # "next.observation.state": agent_pos[1:],
+            # TODO(rcadene): verify that reward and done are aligned with image and agent_pos
+            "next.reward": torch.cat([reward[1:], reward[[-1]]]),
+            "next.done": torch.cat([done[1:], done[[-1]]]),
+            "next.success": torch.cat([success[1:], success[[-1]]]),
+            "episode_data_index_from": torch.tensor([id_from] * num_frames),
+            "episode_data_index_to": torch.tensor([id_from + num_frames] * num_frames),
+        }
+        ep_dicts.append(ep_dict)
+
+        id_from += num_frames
+
+    data_dict = {}
+
+    keys = ep_dicts[0].keys()
+    for key in keys:
+        if torch.is_tensor(ep_dicts[0][key][0]):
+            data_dict[key] = torch.cat([ep_dict[key] for ep_dict in ep_dicts])
+        else:
+            if key not in data_dict:
+                data_dict[key] = []
+            for ep_dict in ep_dicts:
+                for x in ep_dict[key]:
+                    data_dict[key].append(x)
+
+    total_frames = id_from
+    data_dict["index"] = torch.arange(0, total_frames, 1)
+
+    features = {
+        "observation.image": Image(),
+        "observation.state": Sequence(
+            length=data_dict["observation.state"].shape[1], feature=Value(dtype="float32", id=None)
+        ),
+        "action": Sequence(length=data_dict["action"].shape[1], feature=Value(dtype="float32", id=None)),
+        "episode_id": Value(dtype="int64", id=None),
+        "frame_id": Value(dtype="int64", id=None),
+        "timestamp": Value(dtype="float32", id=None),
+        "next.reward": Value(dtype="float32", id=None),
+        "next.done": Value(dtype="bool", id=None),
+        "next.success": Value(dtype="bool", id=None),
+        "index": Value(dtype="int64", id=None),
+        "episode_data_index_from": Value(dtype="int64", id=None),
+        "episode_data_index_to": Value(dtype="int64", id=None),
+    }
+    features = Features(features)
+    dataset = Dataset.from_dict(data_dict, features=features)
+    dataset = dataset.with_format("torch")
+
+    num_items_first_ep = ep_dicts[0]["frame_id"].shape[0]
+    dataset.select(range(num_items_first_ep)).save_to_disk(f"{root_tests}/{dataset_id}/train")
+    dataset.push_to_hub(f"lerobot/{dataset_id}", token=True)
+    dataset.push_to_hub(f"lerobot/{dataset_id}", token=True, revision="v1.0")
+
+
+def download_and_upload_xarm(root, root_tests, dataset_id, fps=15):
+    root = Path(root)
+    raw_dir = root / f"{dataset_id}_raw"
+    if not raw_dir.exists():
+        import zipfile
+
+        import gdown
+
+        raw_dir.mkdir(parents=True, exist_ok=True)
+        url = "https://drive.google.com/uc?id=1nhxpykGtPDhmQKm-_B8zBSywVRdgeVya"
+        zip_path = raw_dir / "data.zip"
+        gdown.download(url, str(zip_path), quiet=False)
+        print("Extracting...")
+        with zipfile.ZipFile(str(zip_path), "r") as zip_f:
+            for member in zip_f.namelist():
+                if member.startswith("data/xarm") and member.endswith(".pkl"):
+                    print(member)
+                    zip_f.extract(member=member)
+        zip_path.unlink()
+
+    dataset_path = root / f"{dataset_id}" / "buffer.pkl"
+    print(f"Using offline dataset '{dataset_path}'")
+    with open(dataset_path, "rb") as f:
+        dataset_dict = pickle.load(f)
+
+    total_frames = dataset_dict["actions"].shape[0]
+
+    ep_dicts = []
+
+    id_from = 0
+    id_to = 0
+    episode_id = 0
+    for i in tqdm.tqdm(range(total_frames)):
+        id_to += 1
+
+        if not dataset_dict["dones"][i]:
+            continue
+
+        num_frames = id_to - id_from
+
+        image = torch.tensor(dataset_dict["observations"]["rgb"][id_from:id_to])
+        image = einops.rearrange(image, "b c h w -> b h w c")
+        state = torch.tensor(dataset_dict["observations"]["state"][id_from:id_to])
+        action = torch.tensor(dataset_dict["actions"][id_from:id_to])
+        # TODO(rcadene): we have a missing last frame which is the observation when the env is done
+        # it is critical to have this frame for tdmpc to predict a "done observation/state"
+        # next_image = torch.tensor(dataset_dict["next_observations"]["rgb"][id_from:id_to])
+        # next_state = torch.tensor(dataset_dict["next_observations"]["state"][id_from:id_to])
+        next_reward = torch.tensor(dataset_dict["rewards"][id_from:id_to])
+        next_done = torch.tensor(dataset_dict["dones"][id_from:id_to])
+
+        ep_dict = {
+            "observation.image": [PILImage.fromarray(x.numpy()) for x in image],
+            "observation.state": state,
+            "action": action,
+            "episode_id": torch.tensor([episode_id] * num_frames, dtype=torch.int),
+            "frame_id": torch.arange(0, num_frames, 1),
+            "timestamp": torch.arange(0, num_frames, 1) / fps,
+            # "next.observation.image": next_image,
+            # "next.observation.state": next_state,
+            "next.reward": next_reward,
+            "next.done": next_done,
+            "episode_data_index_from": torch.tensor([id_from] * num_frames),
+            "episode_data_index_to": torch.tensor([id_from + num_frames] * num_frames),
+        }
+        ep_dicts.append(ep_dict)
+
+        id_from = id_to
+        episode_id += 1
+
+    data_dict = {}
+    keys = ep_dicts[0].keys()
+    for key in keys:
+        if torch.is_tensor(ep_dicts[0][key][0]):
+            data_dict[key] = torch.cat([ep_dict[key] for ep_dict in ep_dicts])
+        else:
+            if key not in data_dict:
+                data_dict[key] = []
+            for ep_dict in ep_dicts:
+                for x in ep_dict[key]:
+                    data_dict[key].append(x)
+
+    total_frames = id_from
+    data_dict["index"] = torch.arange(0, total_frames, 1)
+
+    features = {
+        "observation.image": Image(),
+        "observation.state": Sequence(
+            length=data_dict["observation.state"].shape[1], feature=Value(dtype="float32", id=None)
+        ),
+        "action": Sequence(length=data_dict["action"].shape[1], feature=Value(dtype="float32", id=None)),
+        "episode_id": Value(dtype="int64", id=None),
+        "frame_id": Value(dtype="int64", id=None),
+        "timestamp": Value(dtype="float32", id=None),
+        "next.reward": Value(dtype="float32", id=None),
+        "next.done": Value(dtype="bool", id=None),
+        #'next.success': Value(dtype='bool', id=None),
+        "index": Value(dtype="int64", id=None),
+        "episode_data_index_from": Value(dtype="int64", id=None),
+        "episode_data_index_to": Value(dtype="int64", id=None),
+    }
+    features = Features(features)
+    dataset = Dataset.from_dict(data_dict, features=features)
+    dataset = dataset.with_format("torch")
+
+    num_items_first_ep = ep_dicts[0]["frame_id"].shape[0]
+    dataset.select(range(num_items_first_ep)).save_to_disk(f"{root_tests}/{dataset_id}/train")
+    dataset.push_to_hub(f"lerobot/{dataset_id}", token=True)
+    dataset.push_to_hub(f"lerobot/{dataset_id}", token=True, revision="v1.0")
+
+
+def download_and_upload_aloha(root, root_tests, dataset_id, fps=50):
+    folder_urls = {
+        "aloha_sim_insertion_human": "https://drive.google.com/drive/folders/1RgyD0JgTX30H4IM5XZn8I3zSV_mr8pyF",
+        "aloha_sim_insertion_scripted": "https://drive.google.com/drive/folders/1TsojQQSXtHEoGnqgJ3gmpPQR2DPLtS2N",
+        "aloha_sim_transfer_cube_human": "https://drive.google.com/drive/folders/1sc-E4QYW7A0o23m1u2VWNGVq5smAsfCo",
+        "aloha_sim_transfer_cube_scripted": "https://drive.google.com/drive/folders/1aRyoOhQwxhyt1J8XgEig4s6kzaw__LXj",
+    }
+
+    ep48_urls = {
+        "aloha_sim_insertion_human": "https://drive.google.com/file/d/18Cudl6nikDtgRolea7je8iF_gGKzynOP/view?usp=drive_link",
+        "aloha_sim_insertion_scripted": "https://drive.google.com/file/d/1wfMSZ24oOh5KR_0aaP3Cnu_c4ZCveduB/view?usp=drive_link",
+        "aloha_sim_transfer_cube_human": "https://drive.google.com/file/d/18smMymtr8tIxaNUQ61gW6dG50pt3MvGq/view?usp=drive_link",
+        "aloha_sim_transfer_cube_scripted": "https://drive.google.com/file/d/1pnGIOd-E4-rhz2P3VxpknMKRZCoKt6eI/view?usp=drive_link",
+    }
+
+    ep49_urls = {
+        "aloha_sim_insertion_human": "https://drive.google.com/file/d/1C1kZYyROzs-PrLc0SkDgUgMi4-L3lauE/view?usp=drive_link",
+        "aloha_sim_insertion_scripted": "https://drive.google.com/file/d/17EuCUWS6uCCr6yyNzpXdcdE-_TTNCKtf/view?usp=drive_link",
+        "aloha_sim_transfer_cube_human": "https://drive.google.com/file/d/1Nk7l53d9sJoGDBKAOnNrExX5nLacATc6/view?usp=drive_link",
+        "aloha_sim_transfer_cube_scripted": "https://drive.google.com/file/d/1GKReZHrXU73NMiC5zKCq_UtqPVtYq8eo/view?usp=drive_link",
+    }
+
+    num_episodes = {
+        "aloha_sim_insertion_human": 50,
+        "aloha_sim_insertion_scripted": 50,
+        "aloha_sim_transfer_cube_human": 50,
+        "aloha_sim_transfer_cube_scripted": 50,
+    }
+
+    episode_len = {
+        "aloha_sim_insertion_human": 500,
+        "aloha_sim_insertion_scripted": 400,
+        "aloha_sim_transfer_cube_human": 400,
+        "aloha_sim_transfer_cube_scripted": 400,
+    }
+
+    cameras = {
+        "aloha_sim_insertion_human": ["top"],
+        "aloha_sim_insertion_scripted": ["top"],
+        "aloha_sim_transfer_cube_human": ["top"],
+        "aloha_sim_transfer_cube_scripted": ["top"],
+    }
+
+    root = Path(root)
+    raw_dir = root / f"{dataset_id}_raw"
+    if not raw_dir.is_dir():
+        import gdown
+
+        assert dataset_id in folder_urls
+        assert dataset_id in ep48_urls
+        assert dataset_id in ep49_urls
+
+        raw_dir.mkdir(parents=True, exist_ok=True)
+
+        gdown.download_folder(folder_urls[dataset_id], output=str(raw_dir))
+
+        # because of the 50 files limit per directory, two files episode 48 and 49 were missing
+        gdown.download(ep48_urls[dataset_id], output=str(raw_dir / "episode_48.hdf5"), fuzzy=True)
+        gdown.download(ep49_urls[dataset_id], output=str(raw_dir / "episode_49.hdf5"), fuzzy=True)
+
+    ep_dicts = []
+
+    id_from = 0
+    for ep_id in tqdm.tqdm(range(num_episodes[dataset_id])):
+        ep_path = raw_dir / f"episode_{ep_id}.hdf5"
+        with h5py.File(ep_path, "r") as ep:
+            num_frames = ep["/action"].shape[0]
+            assert episode_len[dataset_id] == num_frames
+
+            # last step of demonstration is considered done
+            done = torch.zeros(num_frames, dtype=torch.bool)
+            done[-1] = True
+
+            state = torch.from_numpy(ep["/observations/qpos"][:])
+            action = torch.from_numpy(ep["/action"][:])
+
+            ep_dict = {}
+
+            for cam in cameras[dataset_id]:
+                image = torch.from_numpy(ep[f"/observations/images/{cam}"][:])  # b h w c
+                # image = einops.rearrange(image, "b h w c -> b c h w").contiguous()
+                ep_dict[f"observation.images.{cam}"] = [PILImage.fromarray(x.numpy()) for x in image]
+                # ep_dict[f"next.observation.images.{cam}"] = image
+
+            ep_dict.update(
+                {
+                    "observation.state": state,
+                    "action": action,
+                    "episode_id": torch.tensor([ep_id] * num_frames),
+                    "frame_id": torch.arange(0, num_frames, 1),
+                    "timestamp": torch.arange(0, num_frames, 1) / fps,
+                    # "next.observation.state": state,
+                    # TODO(rcadene): compute reward and success
+                    # "next.reward": reward,
+                    "next.done": done,
+                    # "next.success": success,
+                    "episode_data_index_from": torch.tensor([id_from] * num_frames),
+                    "episode_data_index_to": torch.tensor([id_from + num_frames] * num_frames),
+                }
+            )
+
+            assert isinstance(ep_id, int)
+            ep_dicts.append(ep_dict)
+
+        id_from += num_frames
+
+    data_dict = {}
+
+    data_dict = {}
+    keys = ep_dicts[0].keys()
+    for key in keys:
+        if torch.is_tensor(ep_dicts[0][key][0]):
+            data_dict[key] = torch.cat([ep_dict[key] for ep_dict in ep_dicts])
+        else:
+            if key not in data_dict:
+                data_dict[key] = []
+            for ep_dict in ep_dicts:
+                for x in ep_dict[key]:
+                    data_dict[key].append(x)
+
+    total_frames = id_from
+    data_dict["index"] = torch.arange(0, total_frames, 1)
+
+    features = {
+        "observation.images.top": Image(),
+        "observation.state": Sequence(
+            length=data_dict["observation.state"].shape[1], feature=Value(dtype="float32", id=None)
+        ),
+        "action": Sequence(length=data_dict["action"].shape[1], feature=Value(dtype="float32", id=None)),
+        "episode_id": Value(dtype="int64", id=None),
+        "frame_id": Value(dtype="int64", id=None),
+        "timestamp": Value(dtype="float32", id=None),
+        #'next.reward': Value(dtype='float32', id=None),
+        "next.done": Value(dtype="bool", id=None),
+        #'next.success': Value(dtype='bool', id=None),
+        "index": Value(dtype="int64", id=None),
+        "episode_data_index_from": Value(dtype="int64", id=None),
+        "episode_data_index_to": Value(dtype="int64", id=None),
+    }
+    features = Features(features)
+    dataset = Dataset.from_dict(data_dict, features=features)
+    dataset = dataset.with_format("torch")
+
+    num_items_first_ep = ep_dicts[0]["frame_id"].shape[0]
+    dataset.select(range(num_items_first_ep)).save_to_disk(f"{root_tests}/{dataset_id}/train")
+    dataset.push_to_hub(f"lerobot/{dataset_id}", token=True)
+    dataset.push_to_hub(f"lerobot/{dataset_id}", token=True, revision="v1.0")
+
+
+if __name__ == "__main__":
+    root = "data"
+    root_tests = "tests/data"
+
+    dataset_ids = [
+        # "pusht",
+        # "xarm_lift_medium",
+        # "aloha_sim_insertion_human",
+        # "aloha_sim_insertion_scripted",
+        # "aloha_sim_transfer_cube_human",
+        "aloha_sim_transfer_cube_scripted",
+    ]
+    for dataset_id in dataset_ids:
+        download_and_upload(root, root_tests, dataset_id)
+        # assume stats have been precomputed
+        shutil.copy(f"{root}/{dataset_id}/stats.pth", f"{root_tests}/{dataset_id}/stats.pth")
diff --git a/lerobot/commands/env.py b/lerobot/commands/env.py
new file mode 100644
index 00000000..1a7e9508
--- /dev/null
+++ b/lerobot/commands/env.py
@@ -0,0 +1,43 @@
+import platform
+
+import huggingface_hub
+
+# import dataset
+import numpy as np
+import torch
+
+from lerobot import __version__ as version
+
+pt_version = torch.__version__
+pt_cuda_available = torch.cuda.is_available()
+pt_cuda_available = torch.cuda.is_available()
+cuda_version = torch._C._cuda_getCompiledVersion() if torch.version.cuda is not None else "N/A"
+
+
+# TODO(aliberts): refactor into an actual command `lerobot env`
+def get_env_info() -> dict:
+    """Run this to get basic system info to help for tracking issues & bugs."""
+    info = {
+        "`lerobot` version": version,
+        "Platform": platform.platform(),
+        "Python version": platform.python_version(),
+        "Huggingface_hub version": huggingface_hub.__version__,
+        # TODO(aliberts): Add dataset when https://github.com/huggingface/lerobot/pull/73 is merged
+        # "Dataset version": dataset.__version__,
+        "Numpy version": np.__version__,
+        "PyTorch version (GPU?)": f"{pt_version} ({pt_cuda_available})",
+        "Cuda version": cuda_version,
+        "Using GPU in script?": "<fill in>",
+        "Using distributed or parallel set-up in script?": "<fill in>",
+    }
+    print("\nCopy-and-paste the text below in your GitHub issue and FILL OUT the two last points.\n")
+    print(format_dict(info))
+    return info
+
+
+def format_dict(d: dict) -> str:
+    return "\n".join([f"- {prop}: {val}" for prop, val in d.items()]) + "\n"
+
+
+if __name__ == "__main__":
+    get_env_info()
diff --git a/lerobot/common/datasets/_diffusion_policy_replay_buffer.py b/lerobot/common/datasets/_diffusion_policy_replay_buffer.py
index 1697f9fc..2f532650 100644
--- a/lerobot/common/datasets/_diffusion_policy_replay_buffer.py
+++ b/lerobot/common/datasets/_diffusion_policy_replay_buffer.py
@@ -1,6 +1,6 @@
 """Helper code for loading PushT dataset from Diffusion Policy (https://diffusion-policy.cs.columbia.edu/)
 
-Copied from the original Diffusion Policy repository.
+Copied from the original Diffusion Policy repository and used in our `download_and_upload_dataset.py` script.
 """
 
 from __future__ import annotations
diff --git a/lerobot/common/datasets/aloha.py b/lerobot/common/datasets/aloha.py
index 4b241ad8..0b7ed24b 100644
--- a/lerobot/common/datasets/aloha.py
+++ b/lerobot/common/datasets/aloha.py
@@ -1,72 +1,19 @@
-import logging
 from pathlib import Path
 
-import einops
-import gdown
-import h5py
 import torch
-import tqdm
+from datasets import load_dataset, load_from_disk
 
-from lerobot.common.datasets.utils import load_data_with_delta_timestamps
-
-FOLDER_URLS = {
-    "aloha_sim_insertion_human": "https://drive.google.com/drive/folders/1RgyD0JgTX30H4IM5XZn8I3zSV_mr8pyF",
-    "aloha_sim_insertion_scripted": "https://drive.google.com/drive/folders/1TsojQQSXtHEoGnqgJ3gmpPQR2DPLtS2N",
-    "aloha_sim_transfer_cube_human": "https://drive.google.com/drive/folders/1sc-E4QYW7A0o23m1u2VWNGVq5smAsfCo",
-    "aloha_sim_transfer_cube_scripted": "https://drive.google.com/drive/folders/1aRyoOhQwxhyt1J8XgEig4s6kzaw__LXj",
-}
-
-EP48_URLS = {
-    "aloha_sim_insertion_human": "https://drive.google.com/file/d/18Cudl6nikDtgRolea7je8iF_gGKzynOP/view?usp=drive_link",
-    "aloha_sim_insertion_scripted": "https://drive.google.com/file/d/1wfMSZ24oOh5KR_0aaP3Cnu_c4ZCveduB/view?usp=drive_link",
-    "aloha_sim_transfer_cube_human": "https://drive.google.com/file/d/18smMymtr8tIxaNUQ61gW6dG50pt3MvGq/view?usp=drive_link",
-    "aloha_sim_transfer_cube_scripted": "https://drive.google.com/file/d/1pnGIOd-E4-rhz2P3VxpknMKRZCoKt6eI/view?usp=drive_link",
-}
-
-EP49_URLS = {
-    "aloha_sim_insertion_human": "https://drive.google.com/file/d/1C1kZYyROzs-PrLc0SkDgUgMi4-L3lauE/view?usp=drive_link",
-    "aloha_sim_insertion_scripted": "https://drive.google.com/file/d/17EuCUWS6uCCr6yyNzpXdcdE-_TTNCKtf/view?usp=drive_link",
-    "aloha_sim_transfer_cube_human": "https://drive.google.com/file/d/1Nk7l53d9sJoGDBKAOnNrExX5nLacATc6/view?usp=drive_link",
-    "aloha_sim_transfer_cube_scripted": "https://drive.google.com/file/d/1GKReZHrXU73NMiC5zKCq_UtqPVtYq8eo/view?usp=drive_link",
-}
-
-NUM_EPISODES = {
-    "aloha_sim_insertion_human": 50,
-    "aloha_sim_insertion_scripted": 50,
-    "aloha_sim_transfer_cube_human": 50,
-    "aloha_sim_transfer_cube_scripted": 50,
-}
-
-EPISODE_LEN = {
-    "aloha_sim_insertion_human": 500,
-    "aloha_sim_insertion_scripted": 400,
-    "aloha_sim_transfer_cube_human": 400,
-    "aloha_sim_transfer_cube_scripted": 400,
-}
-
-CAMERAS = {
-    "aloha_sim_insertion_human": ["top"],
-    "aloha_sim_insertion_scripted": ["top"],
-    "aloha_sim_transfer_cube_human": ["top"],
-    "aloha_sim_transfer_cube_scripted": ["top"],
-}
-
-
-def download(data_dir, dataset_id):
-    assert dataset_id in FOLDER_URLS
-    assert dataset_id in EP48_URLS
-    assert dataset_id in EP49_URLS
-
-    data_dir.mkdir(parents=True, exist_ok=True)
-
-    gdown.download_folder(FOLDER_URLS[dataset_id], output=str(data_dir))
-
-    # because of the 50 files limit per directory, two files episode 48 and 49 were missing
-    gdown.download(EP48_URLS[dataset_id], output=str(data_dir / "episode_48.hdf5"), fuzzy=True)
-    gdown.download(EP49_URLS[dataset_id], output=str(data_dir / "episode_49.hdf5"), fuzzy=True)
+from lerobot.common.datasets.utils import load_previous_and_future_frames
 
 
 class AlohaDataset(torch.utils.data.Dataset):
+    """
+    https://huggingface.co/datasets/lerobot/aloha_sim_insertion_human
+    https://huggingface.co/datasets/lerobot/aloha_sim_insertion_scripted
+    https://huggingface.co/datasets/lerobot/aloha_sim_transfer_cube_human
+    https://huggingface.co/datasets/lerobot/aloha_sim_transfer_cube_scripted
+    """
+
     available_datasets = [
         "aloha_sim_insertion_human",
         "aloha_sim_insertion_scripted",
@@ -79,8 +26,9 @@ class AlohaDataset(torch.utils.data.Dataset):
     def __init__(
         self,
         dataset_id: str,
-        version: str | None = "v1.2",
+        version: str | None = "v1.0",
         root: Path | None = None,
+        split: str = "train",
         transform: callable = None,
         delta_timestamps: dict[list[float]] | None = None,
     ):
@@ -88,120 +36,48 @@ class AlohaDataset(torch.utils.data.Dataset):
         self.dataset_id = dataset_id
         self.version = version
         self.root = root
+        self.split = split
         self.transform = transform
         self.delta_timestamps = delta_timestamps
-
-        self.data_dir = self.root / f"{self.dataset_id}"
-        if (self.data_dir / "data_dict.pth").exists() and (
-            self.data_dir / "data_ids_per_episode.pth"
-        ).exists():
-            self.data_dict = torch.load(self.data_dir / "data_dict.pth")
-            self.data_ids_per_episode = torch.load(self.data_dir / "data_ids_per_episode.pth")
+        if self.root is not None:
+            self.data_dict = load_from_disk(Path(self.root) / self.dataset_id / self.split)
         else:
-            self._download_and_preproc_obsolete()
-            self.data_dir.mkdir(parents=True, exist_ok=True)
-            torch.save(self.data_dict, self.data_dir / "data_dict.pth")
-            torch.save(self.data_ids_per_episode, self.data_dir / "data_ids_per_episode.pth")
+            self.data_dict = load_dataset(
+                f"lerobot/{self.dataset_id}", revision=self.version, split=self.split
+            )
+        self.data_dict = self.data_dict.with_format("torch")
 
     @property
     def num_samples(self) -> int:
-        return len(self.data_dict["index"]) if "index" in self.data_dict else 0
+        return len(self.data_dict)
 
     @property
     def num_episodes(self) -> int:
-        return len(self.data_ids_per_episode)
+        return len(self.data_dict.unique("episode_id"))
 
     def __len__(self):
         return self.num_samples
 
     def __getitem__(self, idx):
-        item = {}
+        item = self.data_dict[idx]
 
-        # get episode id and timestamp of the sampled frame
-        current_ts = self.data_dict["timestamp"][idx].item()
-        episode = self.data_dict["episode"][idx].item()
+        if self.delta_timestamps is not None:
+            item = load_previous_and_future_frames(
+                item,
+                self.data_dict,
+                self.delta_timestamps,
+            )
 
-        for key in self.data_dict:
-            if self.delta_timestamps is not None and key in self.delta_timestamps:
-                data, is_pad = load_data_with_delta_timestamps(
-                    self.data_dict,
-                    self.data_ids_per_episode,
-                    self.delta_timestamps,
-                    key,
-                    current_ts,
-                    episode,
-                )
-                item[key] = data
-                item[f"{key}_is_pad"] = is_pad
+        # convert images from channel last (PIL) to channel first (pytorch)
+        for key in self.image_keys:
+            if item[key].ndim == 3:
+                item[key] = item[key].permute((2, 0, 1))  # h w c -> c h w
+            elif item[key].ndim == 4:
+                item[key] = item[key].permute((0, 3, 1, 2))  # t h w c -> t c h w
             else:
-                item[key] = self.data_dict[key][idx]
+                raise ValueError(item[key].ndim)
 
         if self.transform is not None:
             item = self.transform(item)
 
         return item
-
-    def _download_and_preproc_obsolete(self):
-        assert self.root is not None
-        raw_dir = self.root / f"{self.dataset_id}_raw"
-        if not raw_dir.is_dir():
-            download(raw_dir, self.dataset_id)
-
-        total_frames = 0
-        logging.info("Compute total number of frames to initialize offline buffer")
-        for ep_id in range(NUM_EPISODES[self.dataset_id]):
-            ep_path = raw_dir / f"episode_{ep_id}.hdf5"
-            with h5py.File(ep_path, "r") as ep:
-                total_frames += ep["/action"].shape[0] - 1
-        logging.info(f"{total_frames=}")
-
-        self.data_ids_per_episode = {}
-        ep_dicts = []
-
-        frame_idx = 0
-        for ep_id in tqdm.tqdm(range(NUM_EPISODES[self.dataset_id])):
-            ep_path = raw_dir / f"episode_{ep_id}.hdf5"
-            with h5py.File(ep_path, "r") as ep:
-                num_frames = ep["/action"].shape[0]
-
-                # last step of demonstration is considered done
-                done = torch.zeros(num_frames, dtype=torch.bool)
-                done[-1] = True
-
-                state = torch.from_numpy(ep["/observations/qpos"][:])
-                action = torch.from_numpy(ep["/action"][:])
-
-                ep_dict = {
-                    "observation.state": state,
-                    "action": action,
-                    "episode": torch.tensor([ep_id] * num_frames),
-                    "frame_id": torch.arange(0, num_frames, 1),
-                    "timestamp": torch.arange(0, num_frames, 1) / self.fps,
-                    # "next.observation.state": state,
-                    # TODO(rcadene): compute reward and success
-                    # "next.reward": reward[1:],
-                    "next.done": done[1:],
-                    # "next.success": success[1:],
-                }
-
-                for cam in CAMERAS[self.dataset_id]:
-                    image = torch.from_numpy(ep[f"/observations/images/{cam}"][:])
-                    image = einops.rearrange(image, "b h w c -> b c h w").contiguous()
-                    ep_dict[f"observation.images.{cam}"] = image[:-1]
-                    # ep_dict[f"next.observation.images.{cam}"] = image[1:]
-
-                assert isinstance(ep_id, int)
-                self.data_ids_per_episode[ep_id] = torch.arange(frame_idx, frame_idx + num_frames, 1)
-                assert len(self.data_ids_per_episode[ep_id]) == num_frames
-
-                ep_dicts.append(ep_dict)
-
-            frame_idx += num_frames
-
-        self.data_dict = {}
-
-        keys = ep_dicts[0].keys()
-        for key in keys:
-            self.data_dict[key] = torch.cat([x[key] for x in ep_dicts])
-
-        self.data_dict["index"] = torch.arange(0, total_frames, 1)
diff --git a/lerobot/common/datasets/factory.py b/lerobot/common/datasets/factory.py
index 4ae161f6..ecb28e26 100644
--- a/lerobot/common/datasets/factory.py
+++ b/lerobot/common/datasets/factory.py
@@ -8,9 +8,6 @@ from torchvision.transforms import v2
 from lerobot.common.datasets.utils import compute_stats
 from lerobot.common.transforms import NormalizeTransform, Prod
 
-# DATA_DIR specifies to location where datasets are loaded. By default, DATA_DIR is None and
-# we load from `$HOME/.cache/huggingface/hub/datasets`. For our unit tests, we set `DATA_DIR=tests/data`
-# to load a subset of our datasets for faster continuous integration.
 DATA_DIR = Path(os.environ["DATA_DIR"]) if "DATA_DIR" in os.environ else None
 
 
@@ -19,6 +16,7 @@ def make_dataset(
     # set normalize=False to remove all transformations and keep images unnormalized in [0,255]
     normalize=True,
     stats_path=None,
+    split="train",
 ):
     if cfg.env.name == "xarm":
         from lerobot.common.datasets.xarm import XarmDataset
@@ -54,19 +52,23 @@ def make_dataset(
             stats["action"]["min"] = torch.tensor([12.0, 25.0], dtype=torch.float32)
             stats["action"]["max"] = torch.tensor([511.0, 511.0], dtype=torch.float32)
         elif stats_path is None:
-            # instantiate a one frame dataset with light transform
-            stats_dataset = clsfunc(
-                dataset_id=cfg.dataset_id,
-                root=DATA_DIR,
-                transform=Prod(in_keys=clsfunc.image_keys, prod=1 / 255.0),
-            )
-
             # load stats if the file exists already or compute stats and save it
-            precomputed_stats_path = stats_dataset.data_dir / "stats.pth"
+            if DATA_DIR is None:
+                # TODO(rcadene): clean stats
+                precomputed_stats_path = Path("data") / cfg.dataset_id / "stats.pth"
+            else:
+                precomputed_stats_path = DATA_DIR / cfg.dataset_id / "stats.pth"
             if precomputed_stats_path.exists():
                 stats = torch.load(precomputed_stats_path)
             else:
                 logging.info(f"compute_stats and save to {precomputed_stats_path}")
+                # instantiate a one frame dataset with light transform
+                stats_dataset = clsfunc(
+                    dataset_id=cfg.dataset_id,
+                    split="train",
+                    root=DATA_DIR,
+                    transform=Prod(in_keys=clsfunc.image_keys, prod=1 / 255.0),
+                )
                 stats = compute_stats(stats_dataset)
                 torch.save(stats, stats_path)
         else:
@@ -94,6 +96,7 @@ def make_dataset(
 
     dataset = clsfunc(
         dataset_id=cfg.dataset_id,
+        split=split,
         root=DATA_DIR,
         delta_timestamps=delta_timestamps,
         transform=transforms,
diff --git a/lerobot/common/datasets/pusht.py b/lerobot/common/datasets/pusht.py
index 47253b15..93a4a002 100644
--- a/lerobot/common/datasets/pusht.py
+++ b/lerobot/common/datasets/pusht.py
@@ -1,24 +1,14 @@
 from pathlib import Path
 
-import einops
-import numpy as np
 import torch
-import tqdm
+from datasets import load_dataset, load_from_disk
 
-from lerobot.common.datasets._diffusion_policy_replay_buffer import (
-    ReplayBuffer as DiffusionPolicyReplayBuffer,
-)
-from lerobot.common.datasets.utils import download_and_extract_zip, load_data_with_delta_timestamps
-
-# as define in env
-SUCCESS_THRESHOLD = 0.95  # 95% coverage,
-
-PUSHT_URL = "https://diffusion-policy.cs.columbia.edu/data/training/pusht.zip"
-PUSHT_ZARR = Path("pusht/pusht_cchi_v7_replay.zarr")
+from lerobot.common.datasets.utils import load_previous_and_future_frames
 
 
 class PushtDataset(torch.utils.data.Dataset):
     """
+    https://huggingface.co/datasets/lerobot/pusht
 
     Arguments
     ----------
@@ -34,8 +24,9 @@ class PushtDataset(torch.utils.data.Dataset):
     def __init__(
         self,
         dataset_id: str,
-        version: str | None = "v1.2",
+        version: str | None = "v1.0",
         root: Path | None = None,
+        split: str = "train",
         transform: callable = None,
         delta_timestamps: dict[list[float]] | None = None,
     ):
@@ -43,174 +34,48 @@ class PushtDataset(torch.utils.data.Dataset):
         self.dataset_id = dataset_id
         self.version = version
         self.root = root
+        self.split = split
         self.transform = transform
         self.delta_timestamps = delta_timestamps
-
-        self.data_dir = self.root / f"{self.dataset_id}"
-        if (self.data_dir / "data_dict.pth").exists() and (
-            self.data_dir / "data_ids_per_episode.pth"
-        ).exists():
-            self.data_dict = torch.load(self.data_dir / "data_dict.pth")
-            self.data_ids_per_episode = torch.load(self.data_dir / "data_ids_per_episode.pth")
+        if self.root is not None:
+            self.data_dict = load_from_disk(Path(self.root) / self.dataset_id / self.split)
         else:
-            self._download_and_preproc_obsolete()
-            self.data_dir.mkdir(parents=True, exist_ok=True)
-            torch.save(self.data_dict, self.data_dir / "data_dict.pth")
-            torch.save(self.data_ids_per_episode, self.data_dir / "data_ids_per_episode.pth")
+            self.data_dict = load_dataset(
+                f"lerobot/{self.dataset_id}", revision=self.version, split=self.split
+            )
+        self.data_dict = self.data_dict.with_format("torch")
 
     @property
     def num_samples(self) -> int:
-        return len(self.data_dict["index"]) if "index" in self.data_dict else 0
+        return len(self.data_dict)
 
     @property
     def num_episodes(self) -> int:
-        return len(self.data_ids_per_episode)
+        return len(self.data_dict.unique("episode_id"))
 
     def __len__(self):
         return self.num_samples
 
     def __getitem__(self, idx):
-        item = {}
+        item = self.data_dict[idx]
 
-        # get episode id and timestamp of the sampled frame
-        current_ts = self.data_dict["timestamp"][idx].item()
-        episode = self.data_dict["episode"][idx].item()
+        if self.delta_timestamps is not None:
+            item = load_previous_and_future_frames(
+                item,
+                self.data_dict,
+                self.delta_timestamps,
+            )
 
-        for key in self.data_dict:
-            if self.delta_timestamps is not None and key in self.delta_timestamps:
-                data, is_pad = load_data_with_delta_timestamps(
-                    self.data_dict,
-                    self.data_ids_per_episode,
-                    self.delta_timestamps,
-                    key,
-                    current_ts,
-                    episode,
-                )
-                item[key] = data
-                item[f"{key}_is_pad"] = is_pad
+        # convert images from channel last (PIL) to channel first (pytorch)
+        for key in self.image_keys:
+            if item[key].ndim == 3:
+                item[key] = item[key].permute((2, 0, 1))  # h w c -> c h w
+            elif item[key].ndim == 4:
+                item[key] = item[key].permute((0, 3, 1, 2))  # t h w c -> t c h w
             else:
-                item[key] = self.data_dict[key][idx]
+                raise ValueError(item[key].ndim)
 
         if self.transform is not None:
             item = self.transform(item)
 
         return item
-
-    def _download_and_preproc_obsolete(self):
-        try:
-            import pymunk
-            from gym_pusht.envs.pusht import PushTEnv, pymunk_to_shapely
-        except ModuleNotFoundError as e:
-            print("`gym_pusht` is not installed. Please install it with `pip install 'lerobot[gym_pusht]'`")
-            raise e
-
-        assert self.root is not None
-        raw_dir = self.root / f"{self.dataset_id}_raw"
-        zarr_path = (raw_dir / PUSHT_ZARR).resolve()
-        if not zarr_path.is_dir():
-            raw_dir.mkdir(parents=True, exist_ok=True)
-            download_and_extract_zip(PUSHT_URL, raw_dir)
-
-        # load
-        dataset_dict = DiffusionPolicyReplayBuffer.copy_from_path(
-            zarr_path
-        )  # , keys=['img', 'state', 'action'])
-
-        episode_ids = torch.from_numpy(dataset_dict.get_episode_idxs())
-        num_episodes = dataset_dict.meta["episode_ends"].shape[0]
-        total_frames = dataset_dict["action"].shape[0]
-        # to create test artifact
-        # num_episodes = 1
-        # total_frames = 50
-        assert len(
-            {dataset_dict[key].shape[0] for key in dataset_dict.keys()}  # noqa: SIM118
-        ), "Some data type dont have the same number of total frames."
-
-        # TODO: verify that goal pose is expected to be fixed
-        goal_pos_angle = np.array([256, 256, np.pi / 4])  # x, y, theta (in radians)
-        goal_body = PushTEnv.get_goal_pose_body(goal_pos_angle)
-
-        imgs = torch.from_numpy(dataset_dict["img"])
-        imgs = einops.rearrange(imgs, "b h w c -> b c h w")
-        states = torch.from_numpy(dataset_dict["state"])
-        actions = torch.from_numpy(dataset_dict["action"])
-
-        self.data_ids_per_episode = {}
-        ep_dicts = []
-
-        idx0 = 0
-        for episode_id in tqdm.tqdm(range(num_episodes)):
-            idx1 = dataset_dict.meta["episode_ends"][episode_id]
-
-            num_frames = idx1 - idx0
-
-            assert (episode_ids[idx0:idx1] == episode_id).all()
-
-            image = imgs[idx0:idx1]
-            assert image.min() >= 0.0
-            assert image.max() <= 255.0
-            image = image.type(torch.uint8)
-
-            state = states[idx0:idx1]
-            agent_pos = state[:, :2]
-            block_pos = state[:, 2:4]
-            block_angle = state[:, 4]
-
-            reward = torch.zeros(num_frames)
-            success = torch.zeros(num_frames, dtype=torch.bool)
-            done = torch.zeros(num_frames, dtype=torch.bool)
-            for i in range(num_frames):
-                space = pymunk.Space()
-                space.gravity = 0, 0
-                space.damping = 0
-
-                # Add walls.
-                walls = [
-                    PushTEnv.add_segment(space, (5, 506), (5, 5), 2),
-                    PushTEnv.add_segment(space, (5, 5), (506, 5), 2),
-                    PushTEnv.add_segment(space, (506, 5), (506, 506), 2),
-                    PushTEnv.add_segment(space, (5, 506), (506, 506), 2),
-                ]
-                space.add(*walls)
-
-                block_body = PushTEnv.add_tee(space, block_pos[i].tolist(), block_angle[i].item())
-                goal_geom = pymunk_to_shapely(goal_body, block_body.shapes)
-                block_geom = pymunk_to_shapely(block_body, block_body.shapes)
-                intersection_area = goal_geom.intersection(block_geom).area
-                goal_area = goal_geom.area
-                coverage = intersection_area / goal_area
-                reward[i] = np.clip(coverage / SUCCESS_THRESHOLD, 0, 1)
-                success[i] = coverage > SUCCESS_THRESHOLD
-
-            # last step of demonstration is considered done
-            done[-1] = True
-
-            ep_dict = {
-                "observation.image": image,
-                "observation.state": agent_pos,
-                "action": actions[idx0:idx1],
-                "episode": torch.tensor([episode_id] * num_frames, dtype=torch.int),
-                "frame_id": torch.arange(0, num_frames, 1),
-                "timestamp": torch.arange(0, num_frames, 1) / self.fps,
-                # "next.observation.image": image[1:],
-                # "next.observation.state": agent_pos[1:],
-                # TODO(rcadene): verify that reward and done are aligned with image and agent_pos
-                "next.reward": torch.cat([reward[1:], reward[[-1]]]),
-                "next.done": torch.cat([done[1:], done[[-1]]]),
-                "next.success": torch.cat([success[1:], success[[-1]]]),
-            }
-            ep_dicts.append(ep_dict)
-
-            assert isinstance(episode_id, int)
-            self.data_ids_per_episode[episode_id] = torch.arange(idx0, idx1, 1)
-            assert len(self.data_ids_per_episode[episode_id]) == num_frames
-
-            idx0 = idx1
-
-        self.data_dict = {}
-
-        keys = ep_dicts[0].keys()
-        for key in keys:
-            self.data_dict[key] = torch.cat([x[key] for x in ep_dicts])
-
-        self.data_dict["index"] = torch.arange(0, total_frames, 1)
diff --git a/lerobot/common/datasets/utils.py b/lerobot/common/datasets/utils.py
index 34430ff1..1b353e69 100644
--- a/lerobot/common/datasets/utils.py
+++ b/lerobot/common/datasets/utils.py
@@ -1,51 +1,20 @@
-import io
-import zipfile
 from copy import deepcopy
 from math import ceil
-from pathlib import Path
 
 import einops
-import requests
 import torch
 import tqdm
 
 
-def download_and_extract_zip(url: str, destination_folder: Path) -> bool:
-    print(f"downloading from {url}")
-    response = requests.get(url, stream=True)
-    if response.status_code == 200:
-        total_size = int(response.headers.get("content-length", 0))
-        progress_bar = tqdm.tqdm(total=total_size, unit="B", unit_scale=True)
-
-        zip_file = io.BytesIO()
-        for chunk in response.iter_content(chunk_size=1024):
-            if chunk:
-                zip_file.write(chunk)
-                progress_bar.update(len(chunk))
-
-        progress_bar.close()
-
-        zip_file.seek(0)
-
-        with zipfile.ZipFile(zip_file, "r") as zip_ref:
-            zip_ref.extractall(destination_folder)
-        return True
-    else:
-        return False
-
-
-def load_data_with_delta_timestamps(
-    data_dict: dict[torch.Tensor],
-    data_ids_per_episode: dict[torch.Tensor],
-    delta_timestamps: list[float],
-    key: str,
-    current_ts: float,
-    episode: int,
+def load_previous_and_future_frames(
+    item: dict[str, torch.Tensor],
+    data_dict: dict[str, torch.Tensor],
+    delta_timestamps: dict[str, list[float]],
     tol: float = 0.04,
-):
+) -> dict[torch.Tensor]:
     """
-    Given a current timestamp (e.g. current_ts=0.6) and a list of timestamps differences (e.g. delta_timestamps=[-0.8, -0.2, 0, 0.2]),
-    this function compute the query timestamps (e.g. [-0.2, 0.4, 0.6, 0.8]) and loads the closest frames of the specified modality (e.g. key="observation.image").
+    Given a current item in the dataset containing a timestamp (e.g. 0.6 seconds), and a list of time differences of some modalities (e.g. delta_timestamps={"observation.image": [-0.8, -0.2, 0, 0.2]}),
+    this function computes for each given modality a list of query timestamps (e.g. [-0.2, 0.4, 0.6, 0.8]) and loads the closest frames in the dataset.
 
     Importantly, when no frame can be found around a query timestamp within a specified tolerance window (e.g. tol=0.04), this function raises an AssertionError.
     When a timestamp is queried before the first available timestamp of the episode or after the last available timestamp,
@@ -54,56 +23,57 @@ def load_data_with_delta_timestamps(
     or to pad the observations in a specific way. Note that by default the observation frames before the start of the episode are the same as the first frame of the episode.
 
     Parameters:
-    - data_dict (dict): A dictionary containing the data, where each key corresponds to a different modality (e.g., "timestamp", "observation.image", "action").
-    - data_ids_per_episode (dict): A dictionary where keys are episode identifiers and values are lists of indices corresponding to frames associated with each episode.
-    - delta_timestamps (dict): A dictionary containing lists of delta timestamps for each possible key to be retrieved. These deltas are added to the current_ts to form the query timestamps.
-    - key (str): The key specifying which data modality is to be retrieved from the data_dict.
-    - current_ts (float): The current timestamp to which the delta timestamps are added to form the query timestamps.
-    - episode (int): The identifier of the episode from which frames are to be retrieved.
+    - item (dict): A dictionary containing all the data related to a frame. It is the result of `dataset[idx]`. Each key corresponds to a different modality (e.g., "timestamp", "observation.image", "action").
+    - data_dict (dict): A dictionary containing the full dataset. Each key corresponds to a different modality (e.g., "timestamp", "observation.image", "action").
+    - delta_timestamps (dict): A dictionary containing lists of delta timestamps for each possible modality to be retrieved. These deltas are added to the item timestamp to form the query timestamps.
     - tol (float, optional): The tolerance level used to determine if a data point is close enough to the query timestamp. Defaults to 0.04.
 
     Returns:
-    - tuple: A tuple containing two elements:
-        - The first element is the data retrieved from the specified modality based on the closest match to the query timestamps.
-        - The second element is a boolean array indicating which frames were considered as padding (True if the distance to the closest timestamp was greater than the tolerance level).
+    - The same item with the queried frames for each modality specified in delta_timestamps, with an additional key for each modality (e.g. "observation.image_is_pad").
 
     Raises:
     - AssertionError: If any of the frames unexpectedly violate the tolerance level. This could indicate synchronization issues with timestamps during data collection.
     """
     # get indices of the frames associated to the episode, and their timestamps
-    ep_data_ids = data_ids_per_episode[episode]
-    ep_timestamps = data_dict["timestamp"][ep_data_ids]
+    ep_data_id_from = item["episode_data_index_from"].item()
+    ep_data_id_to = item["episode_data_index_to"].item()
+    ep_data_ids = torch.arange(ep_data_id_from, ep_data_id_to, 1)
+
+    # load timestamps
+    ep_timestamps = data_dict.select_columns("timestamp")[ep_data_id_from:ep_data_id_to]["timestamp"]
 
     # we make the assumption that the timestamps are sorted
     ep_first_ts = ep_timestamps[0]
     ep_last_ts = ep_timestamps[-1]
+    current_ts = item["timestamp"].item()
 
-    # get timestamps used as query to retrieve data of previous/future frames
-    delta_ts = delta_timestamps[key]
-    query_ts = current_ts + torch.tensor(delta_ts)
+    for key in delta_timestamps:
+        # get timestamps used as query to retrieve data of previous/future frames
+        delta_ts = delta_timestamps[key]
+        query_ts = current_ts + torch.tensor(delta_ts)
 
-    # compute distances between each query timestamp and all timestamps of all the frames belonging to the episode
-    dist = torch.cdist(query_ts[:, None], ep_timestamps[:, None], p=1)
-    min_, argmin_ = dist.min(1)
+        # compute distances between each query timestamp and all timestamps of all the frames belonging to the episode
+        dist = torch.cdist(query_ts[:, None], ep_timestamps[:, None], p=1)
+        min_, argmin_ = dist.min(1)
 
-    # get the indices of the data that are closest to the query timestamps
-    data_ids = ep_data_ids[argmin_]
-    # closest_ts = ep_timestamps[argmin_]
+        # TODO(rcadene): synchronize timestamps + interpolation if needed
 
-    # get the data
-    data = data_dict[key][data_ids].clone()
+        is_pad = min_ > tol
 
-    # TODO(rcadene): synchronize timestamps + interpolation if needed
+        # check violated query timestamps are all outside the episode range
+        assert ((query_ts[is_pad] < ep_first_ts) | (ep_last_ts < query_ts[is_pad])).all(), (
+            f"One or several timestamps unexpectedly violate the tolerance ({min_} > {tol=}) inside episode range."
+            "This might be due to synchronization issues with timestamps during data collection."
+        )
 
-    is_pad = min_ > tol
+        # get dataset indices corresponding to frames to be loaded
+        data_ids = ep_data_ids[argmin_]
 
-    # check violated query timestamps are all outside the episode range
-    assert ((query_ts[is_pad] < ep_first_ts) | (ep_last_ts < query_ts[is_pad])).all(), (
-        f"One or several timestamps unexpectedly violate the tolerance ({min_} > {tol=}) inside episode range."
-        "This might be due to synchronization issues with timestamps during data collection."
-    )
+        # load frames modality
+        item[key] = data_dict.select_columns(key)[data_ids][key]
+        item[f"{key}_is_pad"] = is_pad
 
-    return data, is_pad
+    return item
 
 
 def get_stats_einops_patterns(dataset):
diff --git a/lerobot/common/datasets/xarm.py b/lerobot/common/datasets/xarm.py
index 0dfcc5c9..605dd1eb 100644
--- a/lerobot/common/datasets/xarm.py
+++ b/lerobot/common/datasets/xarm.py
@@ -1,30 +1,16 @@
-import pickle
-import zipfile
 from pathlib import Path
 
 import torch
-import tqdm
+from datasets import load_dataset, load_from_disk
 
-from lerobot.common.datasets.utils import load_data_with_delta_timestamps
-
-
-def download(raw_dir):
-    import gdown
-
-    raw_dir.mkdir(parents=True, exist_ok=True)
-    url = "https://drive.google.com/uc?id=1nhxpykGtPDhmQKm-_B8zBSywVRdgeVya"
-    zip_path = raw_dir / "data.zip"
-    gdown.download(url, str(zip_path), quiet=False)
-    print("Extracting...")
-    with zipfile.ZipFile(str(zip_path), "r") as zip_f:
-        for member in zip_f.namelist():
-            if member.startswith("data/xarm") and member.endswith(".pkl"):
-                print(member)
-                zip_f.extract(member=member)
-    zip_path.unlink()
+from lerobot.common.datasets.utils import load_previous_and_future_frames
 
 
 class XarmDataset(torch.utils.data.Dataset):
+    """
+    https://huggingface.co/datasets/lerobot/xarm_lift_medium
+    """
+
     available_datasets = [
         "xarm_lift_medium",
     ]
@@ -34,8 +20,9 @@ class XarmDataset(torch.utils.data.Dataset):
     def __init__(
         self,
         dataset_id: str,
-        version: str | None = "v1.1",
+        version: str | None = "v1.0",
         root: Path | None = None,
+        split: str = "train",
         transform: callable = None,
         delta_timestamps: dict[list[float]] | None = None,
     ):
@@ -43,121 +30,48 @@ class XarmDataset(torch.utils.data.Dataset):
         self.dataset_id = dataset_id
         self.version = version
         self.root = root
+        self.split = split
         self.transform = transform
         self.delta_timestamps = delta_timestamps
-
-        self.data_dir = self.root / f"{self.dataset_id}"
-        if (self.data_dir / "data_dict.pth").exists() and (
-            self.data_dir / "data_ids_per_episode.pth"
-        ).exists():
-            self.data_dict = torch.load(self.data_dir / "data_dict.pth")
-            self.data_ids_per_episode = torch.load(self.data_dir / "data_ids_per_episode.pth")
+        if self.root is not None:
+            self.data_dict = load_from_disk(Path(self.root) / self.dataset_id / self.split)
         else:
-            self._download_and_preproc_obsolete()
-            self.data_dir.mkdir(parents=True, exist_ok=True)
-            torch.save(self.data_dict, self.data_dir / "data_dict.pth")
-            torch.save(self.data_ids_per_episode, self.data_dir / "data_ids_per_episode.pth")
+            self.data_dict = load_dataset(
+                f"lerobot/{self.dataset_id}", revision=self.version, split=self.split
+            )
+        self.data_dict = self.data_dict.with_format("torch")
 
     @property
     def num_samples(self) -> int:
-        return len(self.data_dict["index"]) if "index" in self.data_dict else 0
+        return len(self.data_dict)
 
     @property
     def num_episodes(self) -> int:
-        return len(self.data_ids_per_episode)
+        return len(self.data_dict.unique("episode_id"))
 
     def __len__(self):
         return self.num_samples
 
     def __getitem__(self, idx):
-        item = {}
+        item = self.data_dict[idx]
 
-        # get episode id and timestamp of the sampled frame
-        current_ts = self.data_dict["timestamp"][idx].item()
-        episode = self.data_dict["episode"][idx].item()
+        if self.delta_timestamps is not None:
+            item = load_previous_and_future_frames(
+                item,
+                self.data_dict,
+                self.delta_timestamps,
+            )
 
-        for key in self.data_dict:
-            if self.delta_timestamps is not None and key in self.delta_timestamps:
-                data, is_pad = load_data_with_delta_timestamps(
-                    self.data_dict,
-                    self.data_ids_per_episode,
-                    self.delta_timestamps,
-                    key,
-                    current_ts,
-                    episode,
-                )
-                item[key] = data
-                item[f"{key}_is_pad"] = is_pad
+        # convert images from channel last (PIL) to channel first (pytorch)
+        for key in self.image_keys:
+            if item[key].ndim == 3:
+                item[key] = item[key].permute((2, 0, 1))  # h w c -> c h w
+            elif item[key].ndim == 4:
+                item[key] = item[key].permute((0, 3, 1, 2))  # t h w c -> t c h w
             else:
-                item[key] = self.data_dict[key][idx]
+                raise ValueError(item[key].ndim)
 
         if self.transform is not None:
             item = self.transform(item)
 
         return item
-
-    def _download_and_preproc_obsolete(self):
-        assert self.root is not None
-        raw_dir = self.root / f"{self.dataset_id}_raw"
-        if not raw_dir.exists():
-            download(raw_dir)
-
-        dataset_path = self.root / f"{self.dataset_id}" / "buffer.pkl"
-        print(f"Using offline dataset '{dataset_path}'")
-        with open(dataset_path, "rb") as f:
-            dataset_dict = pickle.load(f)
-
-        total_frames = dataset_dict["actions"].shape[0]
-
-        self.data_ids_per_episode = {}
-        ep_dicts = []
-
-        idx0 = 0
-        idx1 = 0
-        episode_id = 0
-        for i in tqdm.tqdm(range(total_frames)):
-            idx1 += 1
-
-            if not dataset_dict["dones"][i]:
-                continue
-
-            num_frames = idx1 - idx0
-
-            image = torch.tensor(dataset_dict["observations"]["rgb"][idx0:idx1])
-            state = torch.tensor(dataset_dict["observations"]["state"][idx0:idx1])
-            action = torch.tensor(dataset_dict["actions"][idx0:idx1])
-            # TODO(rcadene): we have a missing last frame which is the observation when the env is done
-            # it is critical to have this frame for tdmpc to predict a "done observation/state"
-            # next_image = torch.tensor(dataset_dict["next_observations"]["rgb"][idx0:idx1])
-            # next_state = torch.tensor(dataset_dict["next_observations"]["state"][idx0:idx1])
-            next_reward = torch.tensor(dataset_dict["rewards"][idx0:idx1])
-            next_done = torch.tensor(dataset_dict["dones"][idx0:idx1])
-
-            ep_dict = {
-                "observation.image": image,
-                "observation.state": state,
-                "action": action,
-                "episode": torch.tensor([episode_id] * num_frames, dtype=torch.int),
-                "frame_id": torch.arange(0, num_frames, 1),
-                "timestamp": torch.arange(0, num_frames, 1) / self.fps,
-                # "next.observation.image": next_image,
-                # "next.observation.state": next_state,
-                "next.reward": next_reward,
-                "next.done": next_done,
-            }
-            ep_dicts.append(ep_dict)
-
-            assert isinstance(episode_id, int)
-            self.data_ids_per_episode[episode_id] = torch.arange(idx0, idx1, 1)
-            assert len(self.data_ids_per_episode[episode_id]) == num_frames
-
-            idx0 = idx1
-            episode_id += 1
-
-        self.data_dict = {}
-
-        keys = ep_dicts[0].keys()
-        for key in keys:
-            self.data_dict[key] = torch.cat([x[key] for x in ep_dicts])
-
-        self.data_dict["index"] = torch.arange(0, total_frames, 1)
diff --git a/lerobot/common/envs/utils.py b/lerobot/common/envs/utils.py
index 4d31ddb2..7f5216cd 100644
--- a/lerobot/common/envs/utils.py
+++ b/lerobot/common/envs/utils.py
@@ -14,7 +14,7 @@ def preprocess_observation(observation, transform=None):
         imgs = {"observation.image": observation["pixels"]}
 
     for imgkey, img in imgs.items():
-        img = torch.from_numpy(img).float()
+        img = torch.from_numpy(img)
         # convert to (b c h w) torch format
         img = einops.rearrange(img, "b h w c -> b c h w")
         obs[imgkey] = img
diff --git a/lerobot/scripts/eval.py b/lerobot/scripts/eval.py
index 2b8906d7..6c5b757d 100644
--- a/lerobot/scripts/eval.py
+++ b/lerobot/scripts/eval.py
@@ -41,7 +41,9 @@ import gymnasium as gym
 import imageio
 import numpy as np
 import torch
+from datasets import Dataset
 from huggingface_hub import snapshot_download
+from PIL import Image as PILImage
 
 from lerobot.common.datasets.factory import make_dataset
 from lerobot.common.envs.factory import make_env
@@ -199,38 +201,48 @@ def eval_policy(
     ep_dicts = []
     num_episodes = dones.shape[0]
     total_frames = 0
-    idx0 = idx1 = 0
-    data_ids_per_episode = {}
+    idx_from = 0
     for ep_id in range(num_episodes):
         num_frames = done_indices[ep_id].item() + 1
+        total_frames += num_frames
+
         # TODO(rcadene): We need to add a missing last frame which is the observation
         # of a done state. it is critical to have this frame for tdmpc to predict a "done observation/state"
         ep_dict = {
             "action": actions[ep_id, :num_frames],
-            "episode": torch.tensor([ep_id] * num_frames),
+            "episode_id": torch.tensor([ep_id] * num_frames),
             "frame_id": torch.arange(0, num_frames, 1),
             "timestamp": torch.arange(0, num_frames, 1) / fps,
             "next.done": dones[ep_id, :num_frames],
             "next.reward": rewards[ep_id, :num_frames].type(torch.float32),
+            "episode_data_index_from": torch.tensor([idx_from] * num_frames),
+            "episode_data_index_to": torch.tensor([idx_from + num_frames] * num_frames),
         }
         for key in observations:
-            ep_dict[key] = observations[key][ep_id, :num_frames]
+            ep_dict[key] = observations[key][ep_id][:num_frames]
         ep_dicts.append(ep_dict)
 
-        total_frames += num_frames
-        idx1 += num_frames
-
-        data_ids_per_episode[ep_id] = torch.arange(idx0, idx1, 1)
-
-        idx0 = idx1
+        idx_from += num_frames
 
     # similar logic is implemented in dataset preprocessing
     data_dict = {}
     keys = ep_dicts[0].keys()
     for key in keys:
-        data_dict[key] = torch.cat([x[key] for x in ep_dicts])
+        if "image" not in key:
+            data_dict[key] = torch.cat([x[key] for x in ep_dicts])
+        else:
+            if key not in data_dict:
+                data_dict[key] = []
+            for ep_dict in ep_dicts:
+                for x in ep_dict[key]:
+                    # c h w -> h w c
+                    img = PILImage.fromarray(x.permute(1, 2, 0).numpy())
+                    data_dict[key].append(img)
+
     data_dict["index"] = torch.arange(0, total_frames, 1)
 
+    data_dict = Dataset.from_dict(data_dict).with_format("torch")
+
     if max_episodes_rendered > 0:
         batch_stacked_frames = np.stack(ep_frames, 1)  # (b, t, *)
 
@@ -280,10 +292,7 @@ def eval_policy(
             "eval_s": time.time() - start,
             "eval_ep_s": (time.time() - start) / num_episodes,
         },
-        "episodes": {
-            "data_dict": data_dict,
-            "data_ids_per_episode": data_ids_per_episode,
-        },
+        "episodes": data_dict,
     }
     if max_episodes_rendered > 0:
         info["videos"] = videos
diff --git a/lerobot/scripts/train.py b/lerobot/scripts/train.py
index 8e4c1961..146fcc21 100644
--- a/lerobot/scripts/train.py
+++ b/lerobot/scripts/train.py
@@ -4,6 +4,8 @@ from pathlib import Path
 
 import hydra
 import torch
+from datasets import concatenate_datasets
+from datasets.utils.logging import disable_progress_bar
 
 from lerobot.common.datasets.factory import make_dataset
 from lerobot.common.datasets.utils import cycle
@@ -128,29 +130,33 @@ def calculate_online_sample_weight(n_off: int, n_on: int, pc_on: float):
     return -(n_off * pc_on) / (n_on * (pc_on - 1))
 
 
-def add_episodes_inplace(episodes, online_dataset, concat_dataset, sampler, pc_online_samples):
-    data_dict = episodes["data_dict"]
-    data_ids_per_episode = episodes["data_ids_per_episode"]
+def add_episodes_inplace(data_dict, online_dataset, concat_dataset, sampler, pc_online_samples):
+    first_episode_id = data_dict.select_columns("episode_id")[0]["episode_id"].item()
+    first_index = data_dict.select_columns("index")[0]["index"].item()
+    assert first_episode_id == 0, f"We expect the first episode_id to be 0 and not {first_episode_id}"
+    assert first_index == 0, f"We expect the first first_index to be 0 and not {first_index}"
 
     if len(online_dataset) == 0:
         # initialize online dataset
         online_dataset.data_dict = data_dict
-        online_dataset.data_ids_per_episode = data_ids_per_episode
     else:
         # find episode index and data frame indices according to previous episode in online_dataset
-        start_episode = max(online_dataset.data_ids_per_episode.keys()) + 1
-        start_index = online_dataset.data_dict["index"][-1].item() + 1
-        data_dict["episode"] += start_episode
-        data_dict["index"] += start_index
+        start_episode = online_dataset.select_columns("episode_id")[-1]["episode_id"].item() + 1
+        start_index = online_dataset.select_columns("index")[-1]["index"].item() + 1
+
+        def shift_indices(example):
+            # note: we dont shift "frame_id" since it represents the index of the frame in the episode it belongs to
+            example["episode_id"] += start_episode
+            example["index"] += start_index
+            example["episode_data_index_from"] += start_index
+            example["episode_data_index_to"] += start_index
+            return example
+
+        disable_progress_bar()  # map has a tqdm progress bar
+        data_dict = data_dict.map(shift_indices)
 
         # extend online dataset
-        for key in data_dict:
-            # TODO(rcadene): avoid reallocating memory at every step by preallocating memory or changing our data structure
-            online_dataset.data_dict[key] = torch.cat([online_dataset.data_dict[key], data_dict[key]])
-        for ep_id in data_ids_per_episode:
-            online_dataset.data_ids_per_episode[ep_id + start_episode] = (
-                data_ids_per_episode[ep_id] + start_index
-            )
+        online_dataset.data_dict = concatenate_datasets([online_dataset.data_dict, data_dict])
 
     # update the concatenated dataset length used during sampling
     concat_dataset.cumulative_sizes = concat_dataset.cumsum(concat_dataset.datasets)
@@ -269,7 +275,6 @@ def train(cfg: dict, out_dir=None, job_name=None):
     # create an empty online dataset similar to offline dataset
     online_dataset = deepcopy(offline_dataset)
     online_dataset.data_dict = {}
-    online_dataset.data_ids_per_episode = {}
 
     # create dataloader for online training
     concat_dataset = torch.utils.data.ConcatDataset([offline_dataset, online_dataset])
diff --git a/lerobot/scripts/visualize_dataset.py b/lerobot/scripts/visualize_dataset.py
index 4b7b7d6c..739115e9 100644
--- a/lerobot/scripts/visualize_dataset.py
+++ b/lerobot/scripts/visualize_dataset.py
@@ -62,12 +62,12 @@ def render_dataset(dataset, out_dir, max_num_episodes):
     )
     dl_iter = iter(dataloader)
 
-    num_episodes = len(dataset.data_ids_per_episode)
-    for ep_id in range(min(max_num_episodes, num_episodes)):
+    for ep_id in range(min(max_num_episodes, dataset.num_episodes)):
         logging.info(f"Rendering episode {ep_id}")
 
         frames = {}
-        for _ in dataset.data_ids_per_episode[ep_id]:
+        end_of_episode = False
+        while not end_of_episode:
             item = next(dl_iter)
 
             for im_key in dataset.image_keys:
@@ -77,6 +77,8 @@ def render_dataset(dataset, out_dir, max_num_episodes):
                 # add current frame to list of frames to render
                 frames[im_key].append(item[im_key])
 
+            end_of_episode = item["index"].item() == item["episode_data_index_to"].item() - 1
+
         out_dir.mkdir(parents=True, exist_ok=True)
         for im_key in dataset.image_keys:
             if len(dataset.image_keys) > 1:
diff --git a/poetry.lock b/poetry.lock
index 0133b3ed..a70e404a 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -11,6 +11,116 @@ files = [
     {file = "absl_py-2.1.0-py3-none-any.whl", hash = "sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308"},
 ]
 
+[[package]]
+name = "aiohttp"
+version = "3.9.4"
+description = "Async http client/server framework (asyncio)"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "aiohttp-3.9.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:76d32588ef7e4a3f3adff1956a0ba96faabbdee58f2407c122dd45aa6e34f372"},
+    {file = "aiohttp-3.9.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:56181093c10dbc6ceb8a29dfeea1e815e1dfdc020169203d87fd8d37616f73f9"},
+    {file = "aiohttp-3.9.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c7a5b676d3c65e88b3aca41816bf72831898fcd73f0cbb2680e9d88e819d1e4d"},
+    {file = "aiohttp-3.9.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d1df528a85fb404899d4207a8d9934cfd6be626e30e5d3a5544a83dbae6d8a7e"},
+    {file = "aiohttp-3.9.4-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f595db1bceabd71c82e92df212dd9525a8a2c6947d39e3c994c4f27d2fe15b11"},
+    {file = "aiohttp-3.9.4-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9c0b09d76e5a4caac3d27752027fbd43dc987b95f3748fad2b924a03fe8632ad"},
+    {file = "aiohttp-3.9.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:689eb4356649ec9535b3686200b231876fb4cab4aca54e3bece71d37f50c1d13"},
+    {file = "aiohttp-3.9.4-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a3666cf4182efdb44d73602379a66f5fdfd5da0db5e4520f0ac0dcca644a3497"},
+    {file = "aiohttp-3.9.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:b65b0f8747b013570eea2f75726046fa54fa8e0c5db60f3b98dd5d161052004a"},
+    {file = "aiohttp-3.9.4-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:a1885d2470955f70dfdd33a02e1749613c5a9c5ab855f6db38e0b9389453dce7"},
+    {file = "aiohttp-3.9.4-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:0593822dcdb9483d41f12041ff7c90d4d1033ec0e880bcfaf102919b715f47f1"},
+    {file = "aiohttp-3.9.4-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:47f6eb74e1ecb5e19a78f4a4228aa24df7fbab3b62d4a625d3f41194a08bd54f"},
+    {file = "aiohttp-3.9.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:c8b04a3dbd54de6ccb7604242fe3ad67f2f3ca558f2d33fe19d4b08d90701a89"},
+    {file = "aiohttp-3.9.4-cp310-cp310-win32.whl", hash = "sha256:8a78dfb198a328bfb38e4308ca8167028920fb747ddcf086ce706fbdd23b2926"},
+    {file = "aiohttp-3.9.4-cp310-cp310-win_amd64.whl", hash = "sha256:e78da6b55275987cbc89141a1d8e75f5070e577c482dd48bd9123a76a96f0bbb"},
+    {file = "aiohttp-3.9.4-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:c111b3c69060d2bafc446917534150fd049e7aedd6cbf21ba526a5a97b4402a5"},
+    {file = "aiohttp-3.9.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:efbdd51872cf170093998c87ccdf3cb5993add3559341a8e5708bcb311934c94"},
+    {file = "aiohttp-3.9.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:7bfdb41dc6e85d8535b00d73947548a748e9534e8e4fddd2638109ff3fb081df"},
+    {file = "aiohttp-3.9.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2bd9d334412961125e9f68d5b73c1d0ab9ea3f74a58a475e6b119f5293eee7ba"},
+    {file = "aiohttp-3.9.4-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:35d78076736f4a668d57ade00c65d30a8ce28719d8a42471b2a06ccd1a2e3063"},
+    {file = "aiohttp-3.9.4-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:824dff4f9f4d0f59d0fa3577932ee9a20e09edec8a2f813e1d6b9f89ced8293f"},
+    {file = "aiohttp-3.9.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:52b8b4e06fc15519019e128abedaeb56412b106ab88b3c452188ca47a25c4093"},
+    {file = "aiohttp-3.9.4-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:eae569fb1e7559d4f3919965617bb39f9e753967fae55ce13454bec2d1c54f09"},
+    {file = "aiohttp-3.9.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:69b97aa5792428f321f72aeb2f118e56893371f27e0b7d05750bcad06fc42ca1"},
+    {file = "aiohttp-3.9.4-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:4d79aad0ad4b980663316f26d9a492e8fab2af77c69c0f33780a56843ad2f89e"},
+    {file = "aiohttp-3.9.4-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:d6577140cd7db19e430661e4b2653680194ea8c22c994bc65b7a19d8ec834403"},
+    {file = "aiohttp-3.9.4-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:9860d455847cd98eb67897f5957b7cd69fbcb436dd3f06099230f16a66e66f79"},
+    {file = "aiohttp-3.9.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:69ff36d3f8f5652994e08bd22f093e11cfd0444cea310f92e01b45a4e46b624e"},
+    {file = "aiohttp-3.9.4-cp311-cp311-win32.whl", hash = "sha256:e27d3b5ed2c2013bce66ad67ee57cbf614288bda8cdf426c8d8fe548316f1b5f"},
+    {file = "aiohttp-3.9.4-cp311-cp311-win_amd64.whl", hash = "sha256:d6a67e26daa686a6fbdb600a9af8619c80a332556245fa8e86c747d226ab1a1e"},
+    {file = "aiohttp-3.9.4-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:c5ff8ff44825736a4065d8544b43b43ee4c6dd1530f3a08e6c0578a813b0aa35"},
+    {file = "aiohttp-3.9.4-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:d12a244627eba4e9dc52cbf924edef905ddd6cafc6513849b4876076a6f38b0e"},
+    {file = "aiohttp-3.9.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:dcad56c8d8348e7e468899d2fb3b309b9bc59d94e6db08710555f7436156097f"},
+    {file = "aiohttp-3.9.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4f7e69a7fd4b5ce419238388e55abd220336bd32212c673ceabc57ccf3d05b55"},
+    {file = "aiohttp-3.9.4-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c4870cb049f10d7680c239b55428916d84158798eb8f353e74fa2c98980dcc0b"},
+    {file = "aiohttp-3.9.4-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3b2feaf1b7031ede1bc0880cec4b0776fd347259a723d625357bb4b82f62687b"},
+    {file = "aiohttp-3.9.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:939393e8c3f0a5bcd33ef7ace67680c318dc2ae406f15e381c0054dd658397de"},
+    {file = "aiohttp-3.9.4-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7d2334e387b2adcc944680bebcf412743f2caf4eeebd550f67249c1c3696be04"},
+    {file = "aiohttp-3.9.4-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:e0198ea897680e480845ec0ffc5a14e8b694e25b3f104f63676d55bf76a82f1a"},
+    {file = "aiohttp-3.9.4-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:e40d2cd22914d67c84824045861a5bb0fb46586b15dfe4f046c7495bf08306b2"},
+    {file = "aiohttp-3.9.4-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:aba80e77c227f4234aa34a5ff2b6ff30c5d6a827a91d22ff6b999de9175d71bd"},
+    {file = "aiohttp-3.9.4-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:fb68dc73bc8ac322d2e392a59a9e396c4f35cb6fdbdd749e139d1d6c985f2527"},
+    {file = "aiohttp-3.9.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:f3460a92638dce7e47062cf088d6e7663adb135e936cb117be88d5e6c48c9d53"},
+    {file = "aiohttp-3.9.4-cp312-cp312-win32.whl", hash = "sha256:32dc814ddbb254f6170bca198fe307920f6c1308a5492f049f7f63554b88ef36"},
+    {file = "aiohttp-3.9.4-cp312-cp312-win_amd64.whl", hash = "sha256:63f41a909d182d2b78fe3abef557fcc14da50c7852f70ae3be60e83ff64edba5"},
+    {file = "aiohttp-3.9.4-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:c3770365675f6be220032f6609a8fbad994d6dcf3ef7dbcf295c7ee70884c9af"},
+    {file = "aiohttp-3.9.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:305edae1dea368ce09bcb858cf5a63a064f3bff4767dec6fa60a0cc0e805a1d3"},
+    {file = "aiohttp-3.9.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:6f121900131d116e4a93b55ab0d12ad72573f967b100e49086e496a9b24523ea"},
+    {file = "aiohttp-3.9.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b71e614c1ae35c3d62a293b19eface83d5e4d194e3eb2fabb10059d33e6e8cbf"},
+    {file = "aiohttp-3.9.4-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:419f009fa4cfde4d16a7fc070d64f36d70a8d35a90d71aa27670bba2be4fd039"},
+    {file = "aiohttp-3.9.4-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7b39476ee69cfe64061fd77a73bf692c40021f8547cda617a3466530ef63f947"},
+    {file = "aiohttp-3.9.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b33f34c9c7decdb2ab99c74be6443942b730b56d9c5ee48fb7df2c86492f293c"},
+    {file = "aiohttp-3.9.4-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c78700130ce2dcebb1a8103202ae795be2fa8c9351d0dd22338fe3dac74847d9"},
+    {file = "aiohttp-3.9.4-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:268ba22d917655d1259af2d5659072b7dc11b4e1dc2cb9662fdd867d75afc6a4"},
+    {file = "aiohttp-3.9.4-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:17e7c051f53a0d2ebf33013a9cbf020bb4e098c4bc5bce6f7b0c962108d97eab"},
+    {file = "aiohttp-3.9.4-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:7be99f4abb008cb38e144f85f515598f4c2c8932bf11b65add0ff59c9c876d99"},
+    {file = "aiohttp-3.9.4-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:d58a54d6ff08d2547656356eea8572b224e6f9bbc0cf55fa9966bcaac4ddfb10"},
+    {file = "aiohttp-3.9.4-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:7673a76772bda15d0d10d1aa881b7911d0580c980dbd16e59d7ba1422b2d83cd"},
+    {file = "aiohttp-3.9.4-cp38-cp38-win32.whl", hash = "sha256:e4370dda04dc8951012f30e1ce7956a0a226ac0714a7b6c389fb2f43f22a250e"},
+    {file = "aiohttp-3.9.4-cp38-cp38-win_amd64.whl", hash = "sha256:eb30c4510a691bb87081192a394fb661860e75ca3896c01c6d186febe7c88530"},
+    {file = "aiohttp-3.9.4-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:84e90494db7df3be5e056f91412f9fa9e611fbe8ce4aaef70647297f5943b276"},
+    {file = "aiohttp-3.9.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:7d4845f8501ab28ebfdbeab980a50a273b415cf69e96e4e674d43d86a464df9d"},
+    {file = "aiohttp-3.9.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:69046cd9a2a17245c4ce3c1f1a4ff8c70c7701ef222fce3d1d8435f09042bba1"},
+    {file = "aiohttp-3.9.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8b73a06bafc8dcc508420db43b4dd5850e41e69de99009d0351c4f3007960019"},
+    {file = "aiohttp-3.9.4-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:418bb0038dfafeac923823c2e63226179976c76f981a2aaad0ad5d51f2229bca"},
+    {file = "aiohttp-3.9.4-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:71a8f241456b6c2668374d5d28398f8e8cdae4cce568aaea54e0f39359cd928d"},
+    {file = "aiohttp-3.9.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:935c369bf8acc2dc26f6eeb5222768aa7c62917c3554f7215f2ead7386b33748"},
+    {file = "aiohttp-3.9.4-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:74e4e48c8752d14ecfb36d2ebb3d76d614320570e14de0a3aa7a726ff150a03c"},
+    {file = "aiohttp-3.9.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:916b0417aeddf2c8c61291238ce25286f391a6acb6f28005dd9ce282bd6311b6"},
+    {file = "aiohttp-3.9.4-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:9b6787b6d0b3518b2ee4cbeadd24a507756ee703adbac1ab6dc7c4434b8c572a"},
+    {file = "aiohttp-3.9.4-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:221204dbda5ef350e8db6287937621cf75e85778b296c9c52260b522231940ed"},
+    {file = "aiohttp-3.9.4-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:10afd99b8251022ddf81eaed1d90f5a988e349ee7d779eb429fb07b670751e8c"},
+    {file = "aiohttp-3.9.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:2506d9f7a9b91033201be9ffe7d89c6a54150b0578803cce5cb84a943d075bc3"},
+    {file = "aiohttp-3.9.4-cp39-cp39-win32.whl", hash = "sha256:e571fdd9efd65e86c6af2f332e0e95dad259bfe6beb5d15b3c3eca3a6eb5d87b"},
+    {file = "aiohttp-3.9.4-cp39-cp39-win_amd64.whl", hash = "sha256:7d29dd5319d20aa3b7749719ac9685fbd926f71ac8c77b2477272725f882072d"},
+    {file = "aiohttp-3.9.4.tar.gz", hash = "sha256:6ff71ede6d9a5a58cfb7b6fffc83ab5d4a63138276c771ac91ceaaddf5459644"},
+]
+
+[package.dependencies]
+aiosignal = ">=1.1.2"
+async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""}
+attrs = ">=17.3.0"
+frozenlist = ">=1.1.1"
+multidict = ">=4.5,<7.0"
+yarl = ">=1.0,<2.0"
+
+[package.extras]
+speedups = ["Brotli", "aiodns", "brotlicffi"]
+
+[[package]]
+name = "aiosignal"
+version = "1.3.1"
+description = "aiosignal: a list of registered asynchronous callbacks"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "aiosignal-1.3.1-py3-none-any.whl", hash = "sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17"},
+    {file = "aiosignal-1.3.1.tar.gz", hash = "sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc"},
+]
+
+[package.dependencies]
+frozenlist = ">=1.1.0"
+
 [[package]]
 name = "antlr4-python3-runtime"
 version = "4.9.3"
@@ -43,59 +153,35 @@ files = [
 ]
 
 [[package]]
-name = "av"
-version = "12.0.0"
-description = "Pythonic bindings for FFmpeg's libraries."
+name = "async-timeout"
+version = "4.0.3"
+description = "Timeout context manager for asyncio programs"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.7"
 files = [
-    {file = "av-12.0.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b9d0890553951f76c479a9f2bb952aebae902b1c7d52feea614d37e1cd728a44"},
-    {file = "av-12.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:5d7f229a253c2e3fea9682c09c5ae179bd6d5d2da38d89eb7f29ef7bed10cb2f"},
-    {file = "av-12.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:61b3555d143aacf02e0446f6030319403538eba4dc713c18dfa653a2a23e7f9c"},
-    {file = "av-12.0.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:607e13b2c2b26159a37525d7b6f647a32ce78711fccff23d146d3e255ffa115f"},
-    {file = "av-12.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:39f0b4cfb89f4f06b339c766f92648e798a96747d4163f2fa78660d1ab1f1b5e"},
-    {file = "av-12.0.0-cp310-cp310-win_amd64.whl", hash = "sha256:41dcb8c269fa58a56edf3a3c814c32a0c69586827f132b4e395a951b0ce14fad"},
-    {file = "av-12.0.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:4fa78fbe0e4469226512380180063116105048c66cb12e18ab4b518466c57e6c"},
-    {file = "av-12.0.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:60a869be1d6af916e65ea461cb93922f5db0698655ed7a7eae7c3ecd4af4debb"},
-    {file = "av-12.0.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:df61811cc551c186f0a0e530d97b8b139453534d0f92c1790a923f666522ceda"},
-    {file = "av-12.0.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:99cd2fc53091ebfb9a2fa9dd3580267f5bd1c040d0efd99fbc1a162576b271cb"},
-    {file = "av-12.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7a6d4f1e261df48932128e6495772faa4cc23f5dd1512eec73daab82ad9f3240"},
-    {file = "av-12.0.0-cp311-cp311-win_amd64.whl", hash = "sha256:6aec88e41a498b1e01e2dce5371557e20f9a51aae0c16decc5924ec0be2e22b6"},
-    {file = "av-12.0.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:90eb8f2d548e96cbc6f78e89c911cdb15a3d80fd944f31111660ce45939cd037"},
-    {file = "av-12.0.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:d7f3a02910e77d750dbd516256a16db15030e5371530ff5a5ae902dc03d9005d"},
-    {file = "av-12.0.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e2477cc51526aa50575313d66e5e8ad7ab944588469be5e557b360ed572ae536"},
-    {file = "av-12.0.0-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a2f47149d3ca6deb79f3e515b8bef50e27ebdb160813e6d67dba77278d2a7883"},
-    {file = "av-12.0.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3306e4a3ce8b5bfcc3075793d4ed3a2df69179d8fba22cb944a6164dc235dfb6"},
-    {file = "av-12.0.0-cp312-cp312-win_amd64.whl", hash = "sha256:dc1b742e7f6df1b499fb960bd6697d1dd8e7ada7484a041a8c20e70a87225f53"},
-    {file = "av-12.0.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:0183be6889e835e1b074b4037bfce4fd44671c606cf1c4ab92ea2f271b544aec"},
-    {file = "av-12.0.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:57337f20b208292ec8d3b11e4d289d8688a43d728174850a81b865d3253fff2c"},
-    {file = "av-12.0.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0ec915e8f6521545a38566eefc281042ee504ea3cee0618d8558e4920588b3b2"},
-    {file = "av-12.0.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:33ad5c0a23c45b72bd6bd47f3b2c1adcd2935ee3d0b6178ed66bba62b964ff31"},
-    {file = "av-12.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bfc3a652b12c93120514d56cf025da47442c5ba51530cdf7ba3660257dbb0de1"},
-    {file = "av-12.0.0-cp38-cp38-win_amd64.whl", hash = "sha256:037f793dd1ef4a1f57f090191a7f803ad10ec82da0d04ea26bbe0b8a145fe927"},
-    {file = "av-12.0.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:fc532376aa264722fae55063abd1871d17a563dc895978e142c8ecfcdeb3a2e8"},
-    {file = "av-12.0.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:abf0c4bc40a0af8a30f4cd96f3be6f19fbce0f21222d7fcec148e085127153f7"},
-    {file = "av-12.0.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:81cedd1c072fbebf606724c406b1a1b00adc711f1dfd2bc04c633ce39d8439d8"},
-    {file = "av-12.0.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:02d60f48be9f15dcda37d50f3ce8d7249d9a455643d4322dd3449986bacfc628"},
-    {file = "av-12.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5d2619e4c26d661eecfc404f7d739d8b35f0dcef353fabe61512e030254b7031"},
-    {file = "av-12.0.0-cp39-cp39-win_amd64.whl", hash = "sha256:1892cc91c888d101777d5432d54e0554c11d1c3a2c65d02a2cae0a2256a8fbb9"},
-    {file = "av-12.0.0-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:4819e3ef6c3a44ef6f75907229133a1ee7f688245b2cf49b6b8e969a81ca72c9"},
-    {file = "av-12.0.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bb16bb314cf1503b0250fc46b2c455ee196584231101be0123f4f78638227b62"},
-    {file = "av-12.0.0-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f3e6a62bda9a1e144feeb59bbee046d7a2d98399634a30f57e4990197313c158"},
-    {file = "av-12.0.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e08175ffbafa3a70c7b2f81083e160e34122a208cdf70f150b8f5d02c2de6965"},
-    {file = "av-12.0.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:e1d255be317b7c1ebdc4dae98935b9f3869161112dc829c625e54f90d8bdd7ab"},
-    {file = "av-12.0.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:17964b36e08435910aabd5b3f7dca12f99536902529767d276026bc08f94ced7"},
-    {file = "av-12.0.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d2d5f78de29edee06ddcdd4c2b759914575492d6a0cd4de2ce31ee63a4953eff"},
-    {file = "av-12.0.0-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:309b32bc97158d0f0c19e273b8e17a855a86806b7194aebc23bd497326cff11f"},
-    {file = "av-12.0.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c409c71bd9c7c2f8d018c822f36b1447cfa96eca158381a96f3319bb0ff6e79e"},
-    {file = "av-12.0.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:08fc5eaef60a257d622998626e233bf3ff90d2f817f6695d6a27e0ffcfe9dcff"},
-    {file = "av-12.0.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:746ab0eff8a7a21a6c6d16e6b6e61709527eba2ad1a524d92a01bb60d02a3df7"},
-    {file = "av-12.0.0-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:013b3ac3de3aa1c137af0cedafd364fd1c7524ab3e1cd53e04564fd1632ac04d"},
-    {file = "av-12.0.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0fa55923527648f51ac005e44fe2797ebc67f53ad4850e0194d3753761ee33a2"},
-    {file = "av-12.0.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:35d514f4dee0cf67e9e6b2a65fb4a28f98da88e71e8c7f7960bd04625d9fe965"},
-    {file = "av-12.0.0.tar.gz", hash = "sha256:bcf21ebb722d4538b4099e5a78f730d78814dd70003511c185941dba5651b14d"},
+    {file = "async-timeout-4.0.3.tar.gz", hash = "sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f"},
+    {file = "async_timeout-4.0.3-py3-none-any.whl", hash = "sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028"},
 ]
 
+[[package]]
+name = "attrs"
+version = "23.2.0"
+description = "Classes Without Boilerplate"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "attrs-23.2.0-py3-none-any.whl", hash = "sha256:99b87a485a5820b23b879f04c2305b44b951b502fd64be915879d77a7e8fc6f1"},
+    {file = "attrs-23.2.0.tar.gz", hash = "sha256:935dc3b529c262f6cf76e50877d35a4bd3c1de194fd41f47a2b7ae8f19971f30"},
+]
+
+[package.extras]
+cov = ["attrs[tests]", "coverage[toml] (>=5.3)"]
+dev = ["attrs[tests]", "pre-commit"]
+docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
+tests = ["attrs[tests-no-zope]", "zope-interface"]
+tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"]
+tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"]
+
 [[package]]
 name = "beautifulsoup4"
 version = "4.12.3"
@@ -196,7 +282,7 @@ pycparser = "*"
 name = "cfgv"
 version = "3.4.0"
 description = "Validate configuration and produce human readable error messages."
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
     {file = "cfgv-3.4.0-py2.py3-none-any.whl", hash = "sha256:b7265b1f29fd3316bfcd2b330d63d024f2bfd8bcb8b0272f8e19a504856c48f9"},
@@ -371,7 +457,7 @@ files = [
 name = "coverage"
 version = "7.4.4"
 description = "Code coverage measurement for Python"
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
     {file = "coverage-7.4.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e0be5efd5127542ef31f165de269f77560d6cdef525fffa446de6f7e9186cfb2"},
@@ -434,11 +520,55 @@ tomli = {version = "*", optional = true, markers = "python_full_version <= \"3.1
 [package.extras]
 toml = ["tomli"]
 
+[[package]]
+name = "datasets"
+version = "2.18.0"
+description = "HuggingFace community-driven open-source library of datasets"
+optional = false
+python-versions = ">=3.8.0"
+files = [
+    {file = "datasets-2.18.0-py3-none-any.whl", hash = "sha256:f1bbf0e2896917a914de01cbd37075b14deea3837af87ad0d9f697388ccaeb50"},
+    {file = "datasets-2.18.0.tar.gz", hash = "sha256:cdf8b8c6abf7316377ba4f49f9589a4c74556d6b481afd0abd2284f3d69185cb"},
+]
+
+[package.dependencies]
+aiohttp = "*"
+dill = ">=0.3.0,<0.3.9"
+filelock = "*"
+fsspec = {version = ">=2023.1.0,<=2024.2.0", extras = ["http"]}
+huggingface-hub = ">=0.19.4"
+multiprocess = "*"
+numpy = ">=1.17"
+packaging = "*"
+pandas = "*"
+pyarrow = ">=12.0.0"
+pyarrow-hotfix = "*"
+pyyaml = ">=5.1"
+requests = ">=2.19.0"
+tqdm = ">=4.62.1"
+xxhash = "*"
+
+[package.extras]
+apache-beam = ["apache-beam (>=2.26.0)"]
+audio = ["librosa", "soundfile (>=0.12.1)"]
+benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"]
+dev = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "torch (>=2.0.0)", "transformers", "typing-extensions (>=4.6.1)", "zstandard"]
+docs = ["s3fs", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow-macos", "torch", "transformers"]
+jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"]
+metrics-tests = ["Werkzeug (>=1.0.1)", "accelerate", "bert-score (>=0.3.6)", "jiwer", "langdetect", "mauve-text", "nltk", "requests-file (>=1.5.1)", "rouge-score", "sacrebleu", "sacremoses", "scikit-learn", "scipy", "sentencepiece", "seqeval", "six (>=1.15.0,<1.16.0)", "spacy (>=3.0.0)", "texttable (>=1.6.3)", "tldextract", "tldextract (>=3.1.0)", "toml (>=0.10.1)", "typer (<0.5.0)"]
+quality = ["ruff (>=0.3.0)"]
+s3 = ["s3fs"]
+tensorflow = ["tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow-macos"]
+tensorflow-gpu = ["tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)"]
+tests = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch (>=2.0.0)", "transformers", "typing-extensions (>=4.6.1)", "zstandard"]
+torch = ["torch"]
+vision = ["Pillow (>=6.2.1)"]
+
 [[package]]
 name = "debugpy"
 version = "1.8.1"
 description = "An implementation of the Debug Adapter Protocol for Python"
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
     {file = "debugpy-1.8.1-cp310-cp310-macosx_11_0_x86_64.whl", hash = "sha256:3bda0f1e943d386cc7a0e71bfa59f4137909e2ed947fb3946c506e113000f741"},
@@ -465,17 +595,6 @@ files = [
     {file = "debugpy-1.8.1.zip", hash = "sha256:f696d6be15be87aef621917585f9bb94b1dc9e8aced570db1b8a6fc14e8f9b42"},
 ]
 
-[[package]]
-name = "decorator"
-version = "4.4.2"
-description = "Decorators for Humans"
-optional = false
-python-versions = ">=2.6, !=3.0.*, !=3.1.*"
-files = [
-    {file = "decorator-4.4.2-py2.py3-none-any.whl", hash = "sha256:41fa54c2a0cc4ba648be4fd43cff00aedf5b9465c9bf18d64325bc225f08f760"},
-    {file = "decorator-4.4.2.tar.gz", hash = "sha256:e3a62f0520172440ca0dcc823749319382e377f37f140a0b99ef45fecb84bfe7"},
-]
-
 [[package]]
 name = "diffusers"
 version = "0.26.3"
@@ -506,11 +625,26 @@ test = ["GitPython (<3.1.19)", "Jinja2", "compel (==0.1.8)", "datasets", "invisi
 torch = ["accelerate (>=0.11.0)", "torch (>=1.4,<2.2.0)"]
 training = ["Jinja2", "accelerate (>=0.11.0)", "datasets", "peft (>=0.6.0)", "protobuf (>=3.20.3,<4)", "tensorboard"]
 
+[[package]]
+name = "dill"
+version = "0.3.8"
+description = "serialize all of Python"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "dill-0.3.8-py3-none-any.whl", hash = "sha256:c36ca9ffb54365bdd2f8eb3eff7d2a21237f8452b57ace88b1ac615b7e815bd7"},
+    {file = "dill-0.3.8.tar.gz", hash = "sha256:3ebe3c479ad625c4553aca177444d89b486b1d84982eeacded644afc0cf797ca"},
+]
+
+[package.extras]
+graph = ["objgraph (>=1.7.2)"]
+profile = ["gprof2dot (>=2022.7.29)"]
+
 [[package]]
 name = "distlib"
 version = "0.3.8"
 description = "Distribution utilities"
-optional = false
+optional = true
 python-versions = "*"
 files = [
     {file = "distlib-0.3.8-py2.py3-none-any.whl", hash = "sha256:034db59a0b96f8ca18035f36290806a9a6e6bd9d1ff91e45a7f172eb17e51784"},
@@ -658,7 +792,7 @@ files = [
 name = "exceptiongroup"
 version = "1.2.0"
 description = "Backport of PEP 654 (exception groups)"
-optional = false
+optional = true
 python-versions = ">=3.7"
 files = [
     {file = "exceptiongroup-1.2.0-py3-none-any.whl", hash = "sha256:4bfd3996ac73b41e9b9628b04e079f193850720ea5945fc96a08633c66912f14"},
@@ -706,17 +840,106 @@ docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1
 testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8.0.1)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)"]
 typing = ["typing-extensions (>=4.8)"]
 
+[[package]]
+name = "frozenlist"
+version = "1.4.1"
+description = "A list-like structure which implements collections.abc.MutableSequence"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "frozenlist-1.4.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:f9aa1878d1083b276b0196f2dfbe00c9b7e752475ed3b682025ff20c1c1f51ac"},
+    {file = "frozenlist-1.4.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:29acab3f66f0f24674b7dc4736477bcd4bc3ad4b896f5f45379a67bce8b96868"},
+    {file = "frozenlist-1.4.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:74fb4bee6880b529a0c6560885fce4dc95936920f9f20f53d99a213f7bf66776"},
+    {file = "frozenlist-1.4.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:590344787a90ae57d62511dd7c736ed56b428f04cd8c161fcc5e7232c130c69a"},
+    {file = "frozenlist-1.4.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:068b63f23b17df8569b7fdca5517edef76171cf3897eb68beb01341131fbd2ad"},
+    {file = "frozenlist-1.4.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5c849d495bf5154cd8da18a9eb15db127d4dba2968d88831aff6f0331ea9bd4c"},
+    {file = "frozenlist-1.4.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9750cc7fe1ae3b1611bb8cfc3f9ec11d532244235d75901fb6b8e42ce9229dfe"},
+    {file = "frozenlist-1.4.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a9b2de4cf0cdd5bd2dee4c4f63a653c61d2408055ab77b151c1957f221cabf2a"},
+    {file = "frozenlist-1.4.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:0633c8d5337cb5c77acbccc6357ac49a1770b8c487e5b3505c57b949b4b82e98"},
+    {file = "frozenlist-1.4.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:27657df69e8801be6c3638054e202a135c7f299267f1a55ed3a598934f6c0d75"},
+    {file = "frozenlist-1.4.1-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:f9a3ea26252bd92f570600098783d1371354d89d5f6b7dfd87359d669f2109b5"},
+    {file = "frozenlist-1.4.1-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:4f57dab5fe3407b6c0c1cc907ac98e8a189f9e418f3b6e54d65a718aaafe3950"},
+    {file = "frozenlist-1.4.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:e02a0e11cf6597299b9f3bbd3f93d79217cb90cfd1411aec33848b13f5c656cc"},
+    {file = "frozenlist-1.4.1-cp310-cp310-win32.whl", hash = "sha256:a828c57f00f729620a442881cc60e57cfcec6842ba38e1b19fd3e47ac0ff8dc1"},
+    {file = "frozenlist-1.4.1-cp310-cp310-win_amd64.whl", hash = "sha256:f56e2333dda1fe0f909e7cc59f021eba0d2307bc6f012a1ccf2beca6ba362439"},
+    {file = "frozenlist-1.4.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:a0cb6f11204443f27a1628b0e460f37fb30f624be6051d490fa7d7e26d4af3d0"},
+    {file = "frozenlist-1.4.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b46c8ae3a8f1f41a0d2ef350c0b6e65822d80772fe46b653ab6b6274f61d4a49"},
+    {file = "frozenlist-1.4.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:fde5bd59ab5357e3853313127f4d3565fc7dad314a74d7b5d43c22c6a5ed2ced"},
+    {file = "frozenlist-1.4.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:722e1124aec435320ae01ee3ac7bec11a5d47f25d0ed6328f2273d287bc3abb0"},
+    {file = "frozenlist-1.4.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2471c201b70d58a0f0c1f91261542a03d9a5e088ed3dc6c160d614c01649c106"},
+    {file = "frozenlist-1.4.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c757a9dd70d72b076d6f68efdbb9bc943665ae954dad2801b874c8c69e185068"},
+    {file = "frozenlist-1.4.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f146e0911cb2f1da549fc58fc7bcd2b836a44b79ef871980d605ec392ff6b0d2"},
+    {file = "frozenlist-1.4.1-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4f9c515e7914626b2a2e1e311794b4c35720a0be87af52b79ff8e1429fc25f19"},
+    {file = "frozenlist-1.4.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:c302220494f5c1ebeb0912ea782bcd5e2f8308037b3c7553fad0e48ebad6ad82"},
+    {file = "frozenlist-1.4.1-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:442acde1e068288a4ba7acfe05f5f343e19fac87bfc96d89eb886b0363e977ec"},
+    {file = "frozenlist-1.4.1-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:1b280e6507ea8a4fa0c0a7150b4e526a8d113989e28eaaef946cc77ffd7efc0a"},
+    {file = "frozenlist-1.4.1-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:fe1a06da377e3a1062ae5fe0926e12b84eceb8a50b350ddca72dc85015873f74"},
+    {file = "frozenlist-1.4.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:db9e724bebd621d9beca794f2a4ff1d26eed5965b004a97f1f1685a173b869c2"},
+    {file = "frozenlist-1.4.1-cp311-cp311-win32.whl", hash = "sha256:e774d53b1a477a67838a904131c4b0eef6b3d8a651f8b138b04f748fccfefe17"},
+    {file = "frozenlist-1.4.1-cp311-cp311-win_amd64.whl", hash = "sha256:fb3c2db03683b5767dedb5769b8a40ebb47d6f7f45b1b3e3b4b51ec8ad9d9825"},
+    {file = "frozenlist-1.4.1-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:1979bc0aeb89b33b588c51c54ab0161791149f2461ea7c7c946d95d5f93b56ae"},
+    {file = "frozenlist-1.4.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:cc7b01b3754ea68a62bd77ce6020afaffb44a590c2289089289363472d13aedb"},
+    {file = "frozenlist-1.4.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:c9c92be9fd329ac801cc420e08452b70e7aeab94ea4233a4804f0915c14eba9b"},
+    {file = "frozenlist-1.4.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5c3894db91f5a489fc8fa6a9991820f368f0b3cbdb9cd8849547ccfab3392d86"},
+    {file = "frozenlist-1.4.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ba60bb19387e13597fb059f32cd4d59445d7b18b69a745b8f8e5db0346f33480"},
+    {file = "frozenlist-1.4.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8aefbba5f69d42246543407ed2461db31006b0f76c4e32dfd6f42215a2c41d09"},
+    {file = "frozenlist-1.4.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:780d3a35680ced9ce682fbcf4cb9c2bad3136eeff760ab33707b71db84664e3a"},
+    {file = "frozenlist-1.4.1-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9acbb16f06fe7f52f441bb6f413ebae6c37baa6ef9edd49cdd567216da8600cd"},
+    {file = "frozenlist-1.4.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:23b701e65c7b36e4bf15546a89279bd4d8675faabc287d06bbcfac7d3c33e1e6"},
+    {file = "frozenlist-1.4.1-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:3e0153a805a98f5ada7e09826255ba99fb4f7524bb81bf6b47fb702666484ae1"},
+    {file = "frozenlist-1.4.1-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:dd9b1baec094d91bf36ec729445f7769d0d0cf6b64d04d86e45baf89e2b9059b"},
+    {file = "frozenlist-1.4.1-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:1a4471094e146b6790f61b98616ab8e44f72661879cc63fa1049d13ef711e71e"},
+    {file = "frozenlist-1.4.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:5667ed53d68d91920defdf4035d1cdaa3c3121dc0b113255124bcfada1cfa1b8"},
+    {file = "frozenlist-1.4.1-cp312-cp312-win32.whl", hash = "sha256:beee944ae828747fd7cb216a70f120767fc9f4f00bacae8543c14a6831673f89"},
+    {file = "frozenlist-1.4.1-cp312-cp312-win_amd64.whl", hash = "sha256:64536573d0a2cb6e625cf309984e2d873979709f2cf22839bf2d61790b448ad5"},
+    {file = "frozenlist-1.4.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:20b51fa3f588ff2fe658663db52a41a4f7aa6c04f6201449c6c7c476bd255c0d"},
+    {file = "frozenlist-1.4.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:410478a0c562d1a5bcc2f7ea448359fcb050ed48b3c6f6f4f18c313a9bdb1826"},
+    {file = "frozenlist-1.4.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:c6321c9efe29975232da3bd0af0ad216800a47e93d763ce64f291917a381b8eb"},
+    {file = "frozenlist-1.4.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:48f6a4533887e189dae092f1cf981f2e3885175f7a0f33c91fb5b7b682b6bab6"},
+    {file = "frozenlist-1.4.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6eb73fa5426ea69ee0e012fb59cdc76a15b1283d6e32e4f8dc4482ec67d1194d"},
+    {file = "frozenlist-1.4.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:fbeb989b5cc29e8daf7f976b421c220f1b8c731cbf22b9130d8815418ea45887"},
+    {file = "frozenlist-1.4.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:32453c1de775c889eb4e22f1197fe3bdfe457d16476ea407472b9442e6295f7a"},
+    {file = "frozenlist-1.4.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:693945278a31f2086d9bf3df0fe8254bbeaef1fe71e1351c3bd730aa7d31c41b"},
+    {file = "frozenlist-1.4.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:1d0ce09d36d53bbbe566fe296965b23b961764c0bcf3ce2fa45f463745c04701"},
+    {file = "frozenlist-1.4.1-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:3a670dc61eb0d0eb7080890c13de3066790f9049b47b0de04007090807c776b0"},
+    {file = "frozenlist-1.4.1-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:dca69045298ce5c11fd539682cff879cc1e664c245d1c64da929813e54241d11"},
+    {file = "frozenlist-1.4.1-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:a06339f38e9ed3a64e4c4e43aec7f59084033647f908e4259d279a52d3757d09"},
+    {file = "frozenlist-1.4.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:b7f2f9f912dca3934c1baec2e4585a674ef16fe00218d833856408c48d5beee7"},
+    {file = "frozenlist-1.4.1-cp38-cp38-win32.whl", hash = "sha256:e7004be74cbb7d9f34553a5ce5fb08be14fb33bc86f332fb71cbe5216362a497"},
+    {file = "frozenlist-1.4.1-cp38-cp38-win_amd64.whl", hash = "sha256:5a7d70357e7cee13f470c7883a063aae5fe209a493c57d86eb7f5a6f910fae09"},
+    {file = "frozenlist-1.4.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:bfa4a17e17ce9abf47a74ae02f32d014c5e9404b6d9ac7f729e01562bbee601e"},
+    {file = "frozenlist-1.4.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:b7e3ed87d4138356775346e6845cccbe66cd9e207f3cd11d2f0b9fd13681359d"},
+    {file = "frozenlist-1.4.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:c99169d4ff810155ca50b4da3b075cbde79752443117d89429595c2e8e37fed8"},
+    {file = "frozenlist-1.4.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:edb678da49d9f72c9f6c609fbe41a5dfb9a9282f9e6a2253d5a91e0fc382d7c0"},
+    {file = "frozenlist-1.4.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6db4667b187a6742b33afbbaf05a7bc551ffcf1ced0000a571aedbb4aa42fc7b"},
+    {file = "frozenlist-1.4.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:55fdc093b5a3cb41d420884cdaf37a1e74c3c37a31f46e66286d9145d2063bd0"},
+    {file = "frozenlist-1.4.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:82e8211d69a4f4bc360ea22cd6555f8e61a1bd211d1d5d39d3d228b48c83a897"},
+    {file = "frozenlist-1.4.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:89aa2c2eeb20957be2d950b85974b30a01a762f3308cd02bb15e1ad632e22dc7"},
+    {file = "frozenlist-1.4.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:9d3e0c25a2350080e9319724dede4f31f43a6c9779be48021a7f4ebde8b2d742"},
+    {file = "frozenlist-1.4.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:7268252af60904bf52c26173cbadc3a071cece75f873705419c8681f24d3edea"},
+    {file = "frozenlist-1.4.1-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:0c250a29735d4f15321007fb02865f0e6b6a41a6b88f1f523ca1596ab5f50bd5"},
+    {file = "frozenlist-1.4.1-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:96ec70beabbd3b10e8bfe52616a13561e58fe84c0101dd031dc78f250d5128b9"},
+    {file = "frozenlist-1.4.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:23b2d7679b73fe0e5a4560b672a39f98dfc6f60df63823b0a9970525325b95f6"},
+    {file = "frozenlist-1.4.1-cp39-cp39-win32.whl", hash = "sha256:a7496bfe1da7fb1a4e1cc23bb67c58fab69311cc7d32b5a99c2007b4b2a0e932"},
+    {file = "frozenlist-1.4.1-cp39-cp39-win_amd64.whl", hash = "sha256:e6a20a581f9ce92d389a8c7d7c3dd47c81fd5d6e655c8dddf341e14aa48659d0"},
+    {file = "frozenlist-1.4.1-py3-none-any.whl", hash = "sha256:04ced3e6a46b4cfffe20f9ae482818e34eba9b5fb0ce4056e4cc9b6e212d09b7"},
+    {file = "frozenlist-1.4.1.tar.gz", hash = "sha256:c037a86e8513059a2613aaba4d817bb90b9d9b6b69aace3ce9c877e8c8ed402b"},
+]
+
 [[package]]
 name = "fsspec"
-version = "2024.3.1"
+version = "2024.2.0"
 description = "File-system specification"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "fsspec-2024.3.1-py3-none-any.whl", hash = "sha256:918d18d41bf73f0e2b261824baeb1b124bcf771767e3a26425cd7dec3332f512"},
-    {file = "fsspec-2024.3.1.tar.gz", hash = "sha256:f39780e282d7d117ffb42bb96992f8a90795e4d0fb0f661a70ca39fe9c43ded9"},
+    {file = "fsspec-2024.2.0-py3-none-any.whl", hash = "sha256:817f969556fa5916bc682e02ca2045f96ff7f586d45110fcb76022063ad2c7d8"},
+    {file = "fsspec-2024.2.0.tar.gz", hash = "sha256:b6ad1a679f760dda52b1168c859d01b7b80648ea6f7f7c7f5a8a91dc3f3ecb84"},
 ]
 
+[package.dependencies]
+aiohttp = {version = "<4.0.0a0 || >4.0.0a0,<4.0.0a1 || >4.0.0a1", optional = true, markers = "extra == \"http\""}
+
 [package.extras]
 abfs = ["adlfs"]
 adl = ["adlfs"]
@@ -1033,78 +1256,6 @@ files = [
 [package.dependencies]
 numpy = ">=1.17.3"
 
-[[package]]
-name = "hf-transfer"
-version = "0.1.6"
-description = ""
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "hf_transfer-0.1.6-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:6fd3d61f9229d27def007e53540412507b74ac2fdb1a29985ae0b6a5137749a2"},
-    {file = "hf_transfer-0.1.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b043bb78df1225de043eb041de9d97783fcca14a0bdc1b1d560fc172fc21b648"},
-    {file = "hf_transfer-0.1.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7db60dd18eae4fa6ea157235fb82196cde5313995b396d1b591aad3b790a7f8f"},
-    {file = "hf_transfer-0.1.6-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:30d31dbab9b5a558cce407b8728e39d87d7af1ef8745ddb90187e9ae0b9e1e90"},
-    {file = "hf_transfer-0.1.6-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f6b368bddd757efc7af3126ba81f9ac8f9435e2cc00902cb3d64f2be28d8f719"},
-    {file = "hf_transfer-0.1.6-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:aa2086d8aefaaa3e144e167324574882004c0cec49bf2d0638ec4b74732d8da0"},
-    {file = "hf_transfer-0.1.6-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:45d8985a0940bfe1535cb4ca781f5c11e47c83798ef3373ee1f5d57bbe527a9c"},
-    {file = "hf_transfer-0.1.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2f42b89735f1cde22f2a795d1f0915741023235666be7de45879e533c7d6010c"},
-    {file = "hf_transfer-0.1.6-cp310-none-win32.whl", hash = "sha256:2d2c4c4613f3ad45b6ce6291e347b2d3ba1b86816635681436567e461cb3c961"},
-    {file = "hf_transfer-0.1.6-cp310-none-win_amd64.whl", hash = "sha256:78b0eed8d8dce60168a46e584b9742b816af127d7e410a713e12c31249195342"},
-    {file = "hf_transfer-0.1.6-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:f1d8c172153f9a6cdaecf137612c42796076f61f6bea1072c90ac2e17c1ab6fa"},
-    {file = "hf_transfer-0.1.6-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:2c601996351f90c514a75a0eeb02bf700b1ad1db2d946cbfe4b60b79e29f0b2f"},
-    {file = "hf_transfer-0.1.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8e585c808405557d3f5488f385706abb696997bbae262ea04520757e30836d9d"},
-    {file = "hf_transfer-0.1.6-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ec51af1e8cf4268c268bd88932ade3d7ca895a3c661b42493503f02610ae906b"},
-    {file = "hf_transfer-0.1.6-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d106fdf996332f6df3ed3fab6d6332df82e8c1fb4b20fd81a491ca4d2ab5616a"},
-    {file = "hf_transfer-0.1.6-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e9c2ee9e9fde5a0319cc0e8ddfea10897482bc06d5709b10a238f1bc2ebcbc0b"},
-    {file = "hf_transfer-0.1.6-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f394ea32bc7802b061e549d3133efc523b4ae4fd19bf4b74b183ca6066eef94e"},
-    {file = "hf_transfer-0.1.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4282f09902114cd67fca98a1a1bad569a44521a8395fedf327e966714f68b977"},
-    {file = "hf_transfer-0.1.6-cp311-none-win32.whl", hash = "sha256:276dbf307d5ab6f1bcbf57b5918bfcf9c59d6848ccb28242349e1bb5985f983b"},
-    {file = "hf_transfer-0.1.6-cp311-none-win_amd64.whl", hash = "sha256:fa475175c51451186bea804471995fa8e7b2a48a61dcca55534911dc25955527"},
-    {file = "hf_transfer-0.1.6-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:23d157a67acfa00007799323a1c441b2bbacc7dee625b016b7946fe0e25e6c89"},
-    {file = "hf_transfer-0.1.6-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6067342a2864b988f861cd2d31bd78eb1e84d153a3f6df38485b6696d9ad3013"},
-    {file = "hf_transfer-0.1.6-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:91cfcb3070e205b58fa8dc8bcb6a62ccc40913fcdb9cd1ff7c364c8e3aa85345"},
-    {file = "hf_transfer-0.1.6-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:eb76064ac5165d5eeaaf8d0903e8bf55477221ecc2a4a4d69f0baca065ab905b"},
-    {file = "hf_transfer-0.1.6-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9dabd3a177d83028f164984cf4dd859f77ec1e20c97a6f307ff8fcada0785ef1"},
-    {file = "hf_transfer-0.1.6-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d0bf4254e44f64a26e0a5b73b5d7e8d91bb36870718fb4f8e126ec943ff4c805"},
-    {file = "hf_transfer-0.1.6-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5d32c1b106f38f336ceb21531f4db9b57d777b9a33017dafdb6a5316388ebe50"},
-    {file = "hf_transfer-0.1.6-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ff05aba3c83921e5c7635ba9f07c693cc893350c447644824043aeac27b285f5"},
-    {file = "hf_transfer-0.1.6-cp312-none-win32.whl", hash = "sha256:051ef0c55607652cb5974f59638da035773254b9a07d7ee5b574fe062de4c9d1"},
-    {file = "hf_transfer-0.1.6-cp312-none-win_amd64.whl", hash = "sha256:716fb5c574fcbdd8092ce73f9b6c66f42e3544337490f77c60ec07df02bd081b"},
-    {file = "hf_transfer-0.1.6-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6c0c981134a55965e279cb7be778c1ccaf93f902fc9ebe31da4f30caf824cc4d"},
-    {file = "hf_transfer-0.1.6-cp37-cp37m-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:1ef1f145f04c5b573915bcb1eb5db4039c74f6b46fce73fc473c4287e613b623"},
-    {file = "hf_transfer-0.1.6-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d0a7609b004db3347dbb7796df45403eceb171238210d054d93897d6d84c63a4"},
-    {file = "hf_transfer-0.1.6-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:60f0864bf5996773dbd5f8ae4d1649041f773fe9d5769f4c0eeb5553100acef3"},
-    {file = "hf_transfer-0.1.6-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5d01e55d630ffe70a4f5d0ed576a04c6a48d7c65ca9a7d18f2fca385f20685a9"},
-    {file = "hf_transfer-0.1.6-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d855946c5062b665190de15b2bdbd4c8eddfee35350bfb7564592e23d36fbbd3"},
-    {file = "hf_transfer-0.1.6-cp37-none-win32.whl", hash = "sha256:fd40b2409cfaf3e8aba20169ee09552f69140e029adeec261b988903ff0c8f6f"},
-    {file = "hf_transfer-0.1.6-cp37-none-win_amd64.whl", hash = "sha256:0e0eba49d46d3b5481919aea0794aec625fbc6ecdf13fe7e0e9f3fc5d5ad5971"},
-    {file = "hf_transfer-0.1.6-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7e669fecb29fc454449739f9f53ed9253197e7c19e6a6eaa0f08334207af4287"},
-    {file = "hf_transfer-0.1.6-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:89f701802892e5eb84f89f402686861f87dc227d6082b05f4e9d9b4e8015a3c3"},
-    {file = "hf_transfer-0.1.6-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b6f2b0c8b95b01409275d789a9b74d5f2e146346f985d384bf50ec727caf1ccc"},
-    {file = "hf_transfer-0.1.6-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:aa855a2fa262792a230f9efcdb5da6d431b747d1861d2a69fe7834b19aea077e"},
-    {file = "hf_transfer-0.1.6-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4aa8ca349afb2f0713475426946261eb2035e4efb50ebd2c1d5ad04f395f4217"},
-    {file = "hf_transfer-0.1.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:01255f043996bc7d1bae62d8afc5033a90c7e36ce308b988eeb84afe0a69562f"},
-    {file = "hf_transfer-0.1.6-cp38-none-win32.whl", hash = "sha256:60b1db183e8a7540cd4f8b2160ff4de55f77cb0c3fc6a10be1e7c30eb1b2bdeb"},
-    {file = "hf_transfer-0.1.6-cp38-none-win_amd64.whl", hash = "sha256:fb8be3cba6aaa50ab2e9dffbd25c8eb2046785eeff642cf0cdd0dd9ae6be3539"},
-    {file = "hf_transfer-0.1.6-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d09af35e3e3f09b664e6429e9a0dc200f29c5bdfd88bdd9666de51183b1fe202"},
-    {file = "hf_transfer-0.1.6-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:a4505bd707cc14d85c800f961fad8ca76f804a8ad22fbb7b1a217d8d0c15e6a5"},
-    {file = "hf_transfer-0.1.6-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2c453fd8b0be9740faa23cecd1f28ee9ead7d900cefa64ff836960c503a744c9"},
-    {file = "hf_transfer-0.1.6-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:13cb8884e718a78c3b81a8cdec9c7ac196dd42961fce55c3ccff3dd783e5ad7a"},
-    {file = "hf_transfer-0.1.6-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:39cd39df171a2b5404de69c4e6cd14eee47f6fe91c1692f939bfb9e59a0110d8"},
-    {file = "hf_transfer-0.1.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8ff0629ee9f98df57a783599602eb498f9ec3619dc69348b12e4d9d754abf0e9"},
-    {file = "hf_transfer-0.1.6-cp39-none-win32.whl", hash = "sha256:164a6ce445eb0cc7c645f5b6e1042c003d33292520c90052b6325f30c98e4c5f"},
-    {file = "hf_transfer-0.1.6-cp39-none-win_amd64.whl", hash = "sha256:11b8b4b73bf455f13218c5f827698a30ae10998ca31b8264b51052868c7a9f11"},
-    {file = "hf_transfer-0.1.6-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:16957ba057376a99ea361074ce1094f61b58e769defa6be2422ae59c0b6a6530"},
-    {file = "hf_transfer-0.1.6-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7db952112e3b8ee1a5cbf500d2443e9ce4fb893281c5310a3e31469898628005"},
-    {file = "hf_transfer-0.1.6-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d39d826a7344f5e39f438d62632acd00467aa54a083b66496f61ef67a9885a56"},
-    {file = "hf_transfer-0.1.6-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a4e2653fbfa92e7651db73d99b697c8684e7345c479bd6857da80bed6138abb2"},
-    {file = "hf_transfer-0.1.6-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:144277e6a86add10b90ec3b583253aec777130312256bfc8d5ade5377e253807"},
-    {file = "hf_transfer-0.1.6-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3bb53bcd16365313b2aa0dbdc28206f577d70770f31249cdabc387ac5841edcc"},
-    {file = "hf_transfer-0.1.6-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:990d73a5a68d8261980f146c51f4c5f9995314011cb225222021ad7c39f3af2d"},
-    {file = "hf_transfer-0.1.6-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:652406037029ab9b4097b4c5f29321bad5f64c2b46fbff142509d918aec87c29"},
-    {file = "hf_transfer-0.1.6.tar.gz", hash = "sha256:deb505a7d417d7055fd7b3549eadb91dfe782941261f3344025c486c16d1d2f9"},
-]
-
 [[package]]
 name = "huggingface-hub"
 version = "0.21.4"
@@ -1119,7 +1270,6 @@ files = [
 [package.dependencies]
 filelock = "*"
 fsspec = ">=2023.5.0"
-hf-transfer = {version = ">=0.1.4", optional = true, markers = "extra == \"hf_transfer\""}
 packaging = ">=20.9"
 pyyaml = ">=5.1"
 requests = "*"
@@ -1159,7 +1309,7 @@ packaging = "*"
 name = "identify"
 version = "2.5.35"
 description = "File identification library for Python"
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
     {file = "identify-2.5.35-py2.py3-none-any.whl", hash = "sha256:c4de0081837b211594f8e877a6b4fad7ca32bbfc1a9307fdd61c28bfe923f13e"},
@@ -1192,9 +1342,10 @@ files = [
 ]
 
 [package.dependencies]
-av = {version = "*", optional = true, markers = "extra == \"pyav\""}
+imageio-ffmpeg = {version = "*", optional = true, markers = "extra == \"ffmpeg\""}
 numpy = "*"
 pillow = ">=8.3.2"
+psutil = {version = "*", optional = true, markers = "extra == \"ffmpeg\""}
 
 [package.extras]
 all-plugins = ["astropy", "av", "imageio-ffmpeg", "pillow-heif", "psutil", "tifffile"]
@@ -1254,7 +1405,7 @@ testing = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)",
 name = "iniconfig"
 version = "2.0.0"
 description = "brain-dead simple config-ini parsing"
-optional = false
+optional = true
 python-versions = ">=3.7"
 files = [
     {file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
@@ -1622,30 +1773,6 @@ files = [
     {file = "MarkupSafe-2.1.5.tar.gz", hash = "sha256:d283d37a890ba4c1ae73ffadf8046435c76e7bc2247bbb63c00bd1a709c6544b"},
 ]
 
-[[package]]
-name = "moviepy"
-version = "1.0.3"
-description = "Video editing with Python"
-optional = false
-python-versions = "*"
-files = [
-    {file = "moviepy-1.0.3.tar.gz", hash = "sha256:2884e35d1788077db3ff89e763c5ba7bfddbd7ae9108c9bc809e7ba58fa433f5"},
-]
-
-[package.dependencies]
-decorator = ">=4.0.2,<5.0"
-imageio = {version = ">=2.5,<3.0", markers = "python_version >= \"3.4\""}
-imageio_ffmpeg = {version = ">=0.2.0", markers = "python_version >= \"3.4\""}
-numpy = {version = ">=1.17.3", markers = "python_version > \"2.7\""}
-proglog = "<=1.0.0"
-requests = ">=2.8.1,<3.0"
-tqdm = ">=4.11.2,<5.0"
-
-[package.extras]
-doc = ["Sphinx (>=1.5.2,<2.0)", "numpydoc (>=0.6.0,<1.0)", "pygame (>=1.9.3,<2.0)", "sphinx_rtd_theme (>=0.1.10b0,<1.0)"]
-optional = ["matplotlib (>=2.0.0,<3.0)", "opencv-python (>=3.0,<4.0)", "scikit-image (>=0.13.0,<1.0)", "scikit-learn", "scipy (>=0.19.0,<1.5)", "youtube_dl"]
-test = ["coverage (<5.0)", "coveralls (>=1.1,<2.0)", "pytest (>=3.0.0,<4.0)", "pytest-cov (>=2.5.1,<3.0)", "requests (>=2.8.1,<3.0)"]
-
 [[package]]
 name = "mpmath"
 version = "1.3.0"
@@ -1703,6 +1830,129 @@ glfw = "*"
 numpy = "*"
 pyopengl = "*"
 
+[[package]]
+name = "multidict"
+version = "6.0.5"
+description = "multidict implementation"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "multidict-6.0.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:228b644ae063c10e7f324ab1ab6b548bdf6f8b47f3ec234fef1093bc2735e5f9"},
+    {file = "multidict-6.0.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:896ebdcf62683551312c30e20614305f53125750803b614e9e6ce74a96232604"},
+    {file = "multidict-6.0.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:411bf8515f3be9813d06004cac41ccf7d1cd46dfe233705933dd163b60e37600"},
+    {file = "multidict-6.0.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1d147090048129ce3c453f0292e7697d333db95e52616b3793922945804a433c"},
+    {file = "multidict-6.0.5-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:215ed703caf15f578dca76ee6f6b21b7603791ae090fbf1ef9d865571039ade5"},
+    {file = "multidict-6.0.5-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7c6390cf87ff6234643428991b7359b5f59cc15155695deb4eda5c777d2b880f"},
+    {file = "multidict-6.0.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:21fd81c4ebdb4f214161be351eb5bcf385426bf023041da2fd9e60681f3cebae"},
+    {file = "multidict-6.0.5-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3cc2ad10255f903656017363cd59436f2111443a76f996584d1077e43ee51182"},
+    {file = "multidict-6.0.5-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:6939c95381e003f54cd4c5516740faba40cf5ad3eeff460c3ad1d3e0ea2549bf"},
+    {file = "multidict-6.0.5-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:220dd781e3f7af2c2c1053da9fa96d9cf3072ca58f057f4c5adaaa1cab8fc442"},
+    {file = "multidict-6.0.5-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:766c8f7511df26d9f11cd3a8be623e59cca73d44643abab3f8c8c07620524e4a"},
+    {file = "multidict-6.0.5-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:fe5d7785250541f7f5019ab9cba2c71169dc7d74d0f45253f8313f436458a4ef"},
+    {file = "multidict-6.0.5-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:c1c1496e73051918fcd4f58ff2e0f2f3066d1c76a0c6aeffd9b45d53243702cc"},
+    {file = "multidict-6.0.5-cp310-cp310-win32.whl", hash = "sha256:7afcdd1fc07befad18ec4523a782cde4e93e0a2bf71239894b8d61ee578c1319"},
+    {file = "multidict-6.0.5-cp310-cp310-win_amd64.whl", hash = "sha256:99f60d34c048c5c2fabc766108c103612344c46e35d4ed9ae0673d33c8fb26e8"},
+    {file = "multidict-6.0.5-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:f285e862d2f153a70586579c15c44656f888806ed0e5b56b64489afe4a2dbfba"},
+    {file = "multidict-6.0.5-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:53689bb4e102200a4fafa9de9c7c3c212ab40a7ab2c8e474491914d2305f187e"},
+    {file = "multidict-6.0.5-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:612d1156111ae11d14afaf3a0669ebf6c170dbb735e510a7438ffe2369a847fd"},
+    {file = "multidict-6.0.5-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7be7047bd08accdb7487737631d25735c9a04327911de89ff1b26b81745bd4e3"},
+    {file = "multidict-6.0.5-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:de170c7b4fe6859beb8926e84f7d7d6c693dfe8e27372ce3b76f01c46e489fcf"},
+    {file = "multidict-6.0.5-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:04bde7a7b3de05732a4eb39c94574db1ec99abb56162d6c520ad26f83267de29"},
+    {file = "multidict-6.0.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:85f67aed7bb647f93e7520633d8f51d3cbc6ab96957c71272b286b2f30dc70ed"},
+    {file = "multidict-6.0.5-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:425bf820055005bfc8aa9a0b99ccb52cc2f4070153e34b701acc98d201693733"},
+    {file = "multidict-6.0.5-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:d3eb1ceec286eba8220c26f3b0096cf189aea7057b6e7b7a2e60ed36b373b77f"},
+    {file = "multidict-6.0.5-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:7901c05ead4b3fb75113fb1dd33eb1253c6d3ee37ce93305acd9d38e0b5f21a4"},
+    {file = "multidict-6.0.5-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:e0e79d91e71b9867c73323a3444724d496c037e578a0e1755ae159ba14f4f3d1"},
+    {file = "multidict-6.0.5-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:29bfeb0dff5cb5fdab2023a7a9947b3b4af63e9c47cae2a10ad58394b517fddc"},
+    {file = "multidict-6.0.5-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:e030047e85cbcedbfc073f71836d62dd5dadfbe7531cae27789ff66bc551bd5e"},
+    {file = "multidict-6.0.5-cp311-cp311-win32.whl", hash = "sha256:2f4848aa3baa109e6ab81fe2006c77ed4d3cd1e0ac2c1fbddb7b1277c168788c"},
+    {file = "multidict-6.0.5-cp311-cp311-win_amd64.whl", hash = "sha256:2faa5ae9376faba05f630d7e5e6be05be22913782b927b19d12b8145968a85ea"},
+    {file = "multidict-6.0.5-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:51d035609b86722963404f711db441cf7134f1889107fb171a970c9701f92e1e"},
+    {file = "multidict-6.0.5-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:cbebcd5bcaf1eaf302617c114aa67569dd3f090dd0ce8ba9e35e9985b41ac35b"},
+    {file = "multidict-6.0.5-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:2ffc42c922dbfddb4a4c3b438eb056828719f07608af27d163191cb3e3aa6cc5"},
+    {file = "multidict-6.0.5-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ceb3b7e6a0135e092de86110c5a74e46bda4bd4fbfeeb3a3bcec79c0f861e450"},
+    {file = "multidict-6.0.5-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:79660376075cfd4b2c80f295528aa6beb2058fd289f4c9252f986751a4cd0496"},
+    {file = "multidict-6.0.5-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e4428b29611e989719874670fd152b6625500ad6c686d464e99f5aaeeaca175a"},
+    {file = "multidict-6.0.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d84a5c3a5f7ce6db1f999fb9438f686bc2e09d38143f2d93d8406ed2dd6b9226"},
+    {file = "multidict-6.0.5-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:76c0de87358b192de7ea9649beb392f107dcad9ad27276324c24c91774ca5271"},
+    {file = "multidict-6.0.5-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:79a6d2ba910adb2cbafc95dad936f8b9386e77c84c35bc0add315b856d7c3abb"},
+    {file = "multidict-6.0.5-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:92d16a3e275e38293623ebf639c471d3e03bb20b8ebb845237e0d3664914caef"},
+    {file = "multidict-6.0.5-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:fb616be3538599e797a2017cccca78e354c767165e8858ab5116813146041a24"},
+    {file = "multidict-6.0.5-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:14c2976aa9038c2629efa2c148022ed5eb4cb939e15ec7aace7ca932f48f9ba6"},
+    {file = "multidict-6.0.5-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:435a0984199d81ca178b9ae2c26ec3d49692d20ee29bc4c11a2a8d4514c67eda"},
+    {file = "multidict-6.0.5-cp312-cp312-win32.whl", hash = "sha256:9fe7b0653ba3d9d65cbe7698cca585bf0f8c83dbbcc710db9c90f478e175f2d5"},
+    {file = "multidict-6.0.5-cp312-cp312-win_amd64.whl", hash = "sha256:01265f5e40f5a17f8241d52656ed27192be03bfa8764d88e8220141d1e4b3556"},
+    {file = "multidict-6.0.5-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:19fe01cea168585ba0f678cad6f58133db2aa14eccaf22f88e4a6dccadfad8b3"},
+    {file = "multidict-6.0.5-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6bf7a982604375a8d49b6cc1b781c1747f243d91b81035a9b43a2126c04766f5"},
+    {file = "multidict-6.0.5-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:107c0cdefe028703fb5dafe640a409cb146d44a6ae201e55b35a4af8e95457dd"},
+    {file = "multidict-6.0.5-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:403c0911cd5d5791605808b942c88a8155c2592e05332d2bf78f18697a5fa15e"},
+    {file = "multidict-6.0.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aeaf541ddbad8311a87dd695ed9642401131ea39ad7bc8cf3ef3967fd093b626"},
+    {file = "multidict-6.0.5-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e4972624066095e52b569e02b5ca97dbd7a7ddd4294bf4e7247d52635630dd83"},
+    {file = "multidict-6.0.5-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:d946b0a9eb8aaa590df1fe082cee553ceab173e6cb5b03239716338629c50c7a"},
+    {file = "multidict-6.0.5-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:b55358304d7a73d7bdf5de62494aaf70bd33015831ffd98bc498b433dfe5b10c"},
+    {file = "multidict-6.0.5-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:a3145cb08d8625b2d3fee1b2d596a8766352979c9bffe5d7833e0503d0f0b5e5"},
+    {file = "multidict-6.0.5-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:d65f25da8e248202bd47445cec78e0025c0fe7582b23ec69c3b27a640dd7a8e3"},
+    {file = "multidict-6.0.5-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:c9bf56195c6bbd293340ea82eafd0071cb3d450c703d2c93afb89f93b8386ccc"},
+    {file = "multidict-6.0.5-cp37-cp37m-win32.whl", hash = "sha256:69db76c09796b313331bb7048229e3bee7928eb62bab5e071e9f7fcc4879caee"},
+    {file = "multidict-6.0.5-cp37-cp37m-win_amd64.whl", hash = "sha256:fce28b3c8a81b6b36dfac9feb1de115bab619b3c13905b419ec71d03a3fc1423"},
+    {file = "multidict-6.0.5-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:76f067f5121dcecf0d63a67f29080b26c43c71a98b10c701b0677e4a065fbd54"},
+    {file = "multidict-6.0.5-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:b82cc8ace10ab5bd93235dfaab2021c70637005e1ac787031f4d1da63d493c1d"},
+    {file = "multidict-6.0.5-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:5cb241881eefd96b46f89b1a056187ea8e9ba14ab88ba632e68d7a2ecb7aadf7"},
+    {file = "multidict-6.0.5-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e8e94e6912639a02ce173341ff62cc1201232ab86b8a8fcc05572741a5dc7d93"},
+    {file = "multidict-6.0.5-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:09a892e4a9fb47331da06948690ae38eaa2426de97b4ccbfafbdcbe5c8f37ff8"},
+    {file = "multidict-6.0.5-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:55205d03e8a598cfc688c71ca8ea5f66447164efff8869517f175ea632c7cb7b"},
+    {file = "multidict-6.0.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:37b15024f864916b4951adb95d3a80c9431299080341ab9544ed148091b53f50"},
+    {file = "multidict-6.0.5-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f2a1dee728b52b33eebff5072817176c172050d44d67befd681609b4746e1c2e"},
+    {file = "multidict-6.0.5-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:edd08e6f2f1a390bf137080507e44ccc086353c8e98c657e666c017718561b89"},
+    {file = "multidict-6.0.5-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:60d698e8179a42ec85172d12f50b1668254628425a6bd611aba022257cac1386"},
+    {file = "multidict-6.0.5-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:3d25f19500588cbc47dc19081d78131c32637c25804df8414463ec908631e453"},
+    {file = "multidict-6.0.5-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:4cc0ef8b962ac7a5e62b9e826bd0cd5040e7d401bc45a6835910ed699037a461"},
+    {file = "multidict-6.0.5-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:eca2e9d0cc5a889850e9bbd68e98314ada174ff6ccd1129500103df7a94a7a44"},
+    {file = "multidict-6.0.5-cp38-cp38-win32.whl", hash = "sha256:4a6a4f196f08c58c59e0b8ef8ec441d12aee4125a7d4f4fef000ccb22f8d7241"},
+    {file = "multidict-6.0.5-cp38-cp38-win_amd64.whl", hash = "sha256:0275e35209c27a3f7951e1ce7aaf93ce0d163b28948444bec61dd7badc6d3f8c"},
+    {file = "multidict-6.0.5-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:e7be68734bd8c9a513f2b0cfd508802d6609da068f40dc57d4e3494cefc92929"},
+    {file = "multidict-6.0.5-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:1d9ea7a7e779d7a3561aade7d596649fbecfa5c08a7674b11b423783217933f9"},
+    {file = "multidict-6.0.5-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ea1456df2a27c73ce51120fa2f519f1bea2f4a03a917f4a43c8707cf4cbbae1a"},
+    {file = "multidict-6.0.5-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cf590b134eb70629e350691ecca88eac3e3b8b3c86992042fb82e3cb1830d5e1"},
+    {file = "multidict-6.0.5-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5c0631926c4f58e9a5ccce555ad7747d9a9f8b10619621f22f9635f069f6233e"},
+    {file = "multidict-6.0.5-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:dce1c6912ab9ff5f179eaf6efe7365c1f425ed690b03341911bf4939ef2f3046"},
+    {file = "multidict-6.0.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c0868d64af83169e4d4152ec612637a543f7a336e4a307b119e98042e852ad9c"},
+    {file = "multidict-6.0.5-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:141b43360bfd3bdd75f15ed811850763555a251e38b2405967f8e25fb43f7d40"},
+    {file = "multidict-6.0.5-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:7df704ca8cf4a073334e0427ae2345323613e4df18cc224f647f251e5e75a527"},
+    {file = "multidict-6.0.5-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:6214c5a5571802c33f80e6c84713b2c79e024995b9c5897f794b43e714daeec9"},
+    {file = "multidict-6.0.5-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:cd6c8fca38178e12c00418de737aef1261576bd1b6e8c6134d3e729a4e858b38"},
+    {file = "multidict-6.0.5-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:e02021f87a5b6932fa6ce916ca004c4d441509d33bbdbeca70d05dff5e9d2479"},
+    {file = "multidict-6.0.5-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:ebd8d160f91a764652d3e51ce0d2956b38efe37c9231cd82cfc0bed2e40b581c"},
+    {file = "multidict-6.0.5-cp39-cp39-win32.whl", hash = "sha256:04da1bb8c8dbadf2a18a452639771951c662c5ad03aefe4884775454be322c9b"},
+    {file = "multidict-6.0.5-cp39-cp39-win_amd64.whl", hash = "sha256:d6f6d4f185481c9669b9447bf9d9cf3b95a0e9df9d169bbc17e363b7d5487755"},
+    {file = "multidict-6.0.5-py3-none-any.whl", hash = "sha256:0d63c74e3d7ab26de115c49bffc92cc77ed23395303d496eae515d4204a625e7"},
+    {file = "multidict-6.0.5.tar.gz", hash = "sha256:f7e301075edaf50500f0b341543c41194d8df3ae5caf4702f2095f3ca73dd8da"},
+]
+
+[[package]]
+name = "multiprocess"
+version = "0.70.16"
+description = "better multiprocessing and multithreading in Python"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "multiprocess-0.70.16-pp310-pypy310_pp73-macosx_10_13_x86_64.whl", hash = "sha256:476887be10e2f59ff183c006af746cb6f1fd0eadcfd4ef49e605cbe2659920ee"},
+    {file = "multiprocess-0.70.16-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:d951bed82c8f73929ac82c61f01a7b5ce8f3e5ef40f5b52553b4f547ce2b08ec"},
+    {file = "multiprocess-0.70.16-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:37b55f71c07e2d741374998c043b9520b626a8dddc8b3129222ca4f1a06ef67a"},
+    {file = "multiprocess-0.70.16-pp38-pypy38_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:ba8c31889abf4511c7308a8c52bb4a30b9d590e7f58523302ba00237702ca054"},
+    {file = "multiprocess-0.70.16-pp39-pypy39_pp73-macosx_10_13_x86_64.whl", hash = "sha256:0dfd078c306e08d46d7a8d06fb120313d87aa43af60d66da43ffff40b44d2f41"},
+    {file = "multiprocess-0.70.16-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:e7b9d0f307cd9bd50851afaac0dba2cb6c44449efff697df7c7645f7d3f2be3a"},
+    {file = "multiprocess-0.70.16-py310-none-any.whl", hash = "sha256:c4a9944c67bd49f823687463660a2d6daae94c289adff97e0f9d696ba6371d02"},
+    {file = "multiprocess-0.70.16-py311-none-any.whl", hash = "sha256:af4cabb0dac72abfb1e794fa7855c325fd2b55a10a44628a3c1ad3311c04127a"},
+    {file = "multiprocess-0.70.16-py312-none-any.whl", hash = "sha256:fc0544c531920dde3b00c29863377f87e1632601092ea2daca74e4beb40faa2e"},
+    {file = "multiprocess-0.70.16-py38-none-any.whl", hash = "sha256:a71d82033454891091a226dfc319d0cfa8019a4e888ef9ca910372a446de4435"},
+    {file = "multiprocess-0.70.16-py39-none-any.whl", hash = "sha256:a0bafd3ae1b732eac64be2e72038231c1ba97724b60b09400d68f229fcc2fbf3"},
+    {file = "multiprocess-0.70.16.tar.gz", hash = "sha256:161af703d4652a0e1410be6abccecde4a7ddffd19341be0a7011b94aeb171ac1"},
+]
+
+[package.dependencies]
+dill = ">=0.3.8"
+
 [[package]]
 name = "networkx"
 version = "3.3"
@@ -1725,7 +1975,7 @@ test = ["pytest (>=7.2)", "pytest-cov (>=4.0)"]
 name = "nodeenv"
 version = "1.8.0"
 description = "Node.js virtual environment builder"
-optional = false
+optional = true
 python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*"
 files = [
     {file = "nodeenv-1.8.0-py2.py3-none-any.whl", hash = "sha256:df865724bb3c3adc86b3876fa209771517b0cfe596beff01a92700e0e8be4cec"},
@@ -2047,47 +2297,47 @@ files = [
 
 [[package]]
 name = "pandas"
-version = "2.2.1"
+version = "2.2.2"
 description = "Powerful data structures for data analysis, time series, and statistics"
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "pandas-2.2.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8df8612be9cd1c7797c93e1c5df861b2ddda0b48b08f2c3eaa0702cf88fb5f88"},
-    {file = "pandas-2.2.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:0f573ab277252ed9aaf38240f3b54cfc90fff8e5cab70411ee1d03f5d51f3944"},
-    {file = "pandas-2.2.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f02a3a6c83df4026e55b63c1f06476c9aa3ed6af3d89b4f04ea656ccdaaaa359"},
-    {file = "pandas-2.2.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c38ce92cb22a4bea4e3929429aa1067a454dcc9c335799af93ba9be21b6beb51"},
-    {file = "pandas-2.2.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:c2ce852e1cf2509a69e98358e8458775f89599566ac3775e70419b98615f4b06"},
-    {file = "pandas-2.2.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:53680dc9b2519cbf609c62db3ed7c0b499077c7fefda564e330286e619ff0dd9"},
-    {file = "pandas-2.2.1-cp310-cp310-win_amd64.whl", hash = "sha256:94e714a1cca63e4f5939cdce5f29ba8d415d85166be3441165edd427dc9f6bc0"},
-    {file = "pandas-2.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f821213d48f4ab353d20ebc24e4faf94ba40d76680642fb7ce2ea31a3ad94f9b"},
-    {file = "pandas-2.2.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c70e00c2d894cb230e5c15e4b1e1e6b2b478e09cf27cc593a11ef955b9ecc81a"},
-    {file = "pandas-2.2.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e97fbb5387c69209f134893abc788a6486dbf2f9e511070ca05eed4b930b1b02"},
-    {file = "pandas-2.2.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:101d0eb9c5361aa0146f500773395a03839a5e6ecde4d4b6ced88b7e5a1a6403"},
-    {file = "pandas-2.2.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:7d2ed41c319c9fb4fd454fe25372028dfa417aacb9790f68171b2e3f06eae8cd"},
-    {file = "pandas-2.2.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:af5d3c00557d657c8773ef9ee702c61dd13b9d7426794c9dfeb1dc4a0bf0ebc7"},
-    {file = "pandas-2.2.1-cp311-cp311-win_amd64.whl", hash = "sha256:06cf591dbaefb6da9de8472535b185cba556d0ce2e6ed28e21d919704fef1a9e"},
-    {file = "pandas-2.2.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:88ecb5c01bb9ca927ebc4098136038519aa5d66b44671861ffab754cae75102c"},
-    {file = "pandas-2.2.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:04f6ec3baec203c13e3f8b139fb0f9f86cd8c0b94603ae3ae8ce9a422e9f5bee"},
-    {file = "pandas-2.2.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a935a90a76c44fe170d01e90a3594beef9e9a6220021acfb26053d01426f7dc2"},
-    {file = "pandas-2.2.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c391f594aae2fd9f679d419e9a4d5ba4bce5bb13f6a989195656e7dc4b95c8f0"},
-    {file = "pandas-2.2.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:9d1265545f579edf3f8f0cb6f89f234f5e44ba725a34d86535b1a1d38decbccc"},
-    {file = "pandas-2.2.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:11940e9e3056576ac3244baef2fedade891977bcc1cb7e5cc8f8cc7d603edc89"},
-    {file = "pandas-2.2.1-cp312-cp312-win_amd64.whl", hash = "sha256:4acf681325ee1c7f950d058b05a820441075b0dd9a2adf5c4835b9bc056bf4fb"},
-    {file = "pandas-2.2.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:9bd8a40f47080825af4317d0340c656744f2bfdb6819f818e6ba3cd24c0e1397"},
-    {file = "pandas-2.2.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:df0c37ebd19e11d089ceba66eba59a168242fc6b7155cba4ffffa6eccdfb8f16"},
-    {file = "pandas-2.2.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:739cc70eaf17d57608639e74d63387b0d8594ce02f69e7a0b046f117974b3019"},
-    {file = "pandas-2.2.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f9d3558d263073ed95e46f4650becff0c5e1ffe0fc3a015de3c79283dfbdb3df"},
-    {file = "pandas-2.2.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:4aa1d8707812a658debf03824016bf5ea0d516afdea29b7dc14cf687bc4d4ec6"},
-    {file = "pandas-2.2.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:76f27a809cda87e07f192f001d11adc2b930e93a2b0c4a236fde5429527423be"},
-    {file = "pandas-2.2.1-cp39-cp39-win_amd64.whl", hash = "sha256:1ba21b1d5c0e43416218db63037dbe1a01fc101dc6e6024bcad08123e48004ab"},
-    {file = "pandas-2.2.1.tar.gz", hash = "sha256:0ab90f87093c13f3e8fa45b48ba9f39181046e8f3317d3aadb2fffbb1b978572"},
+    {file = "pandas-2.2.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:90c6fca2acf139569e74e8781709dccb6fe25940488755716d1d354d6bc58bce"},
+    {file = "pandas-2.2.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c7adfc142dac335d8c1e0dcbd37eb8617eac386596eb9e1a1b77791cf2498238"},
+    {file = "pandas-2.2.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4abfe0be0d7221be4f12552995e58723c7422c80a659da13ca382697de830c08"},
+    {file = "pandas-2.2.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8635c16bf3d99040fdf3ca3db669a7250ddf49c55dc4aa8fe0ae0fa8d6dcc1f0"},
+    {file = "pandas-2.2.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:40ae1dffb3967a52203105a077415a86044a2bea011b5f321c6aa64b379a3f51"},
+    {file = "pandas-2.2.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:8e5a0b00e1e56a842f922e7fae8ae4077aee4af0acb5ae3622bd4b4c30aedf99"},
+    {file = "pandas-2.2.2-cp310-cp310-win_amd64.whl", hash = "sha256:ddf818e4e6c7c6f4f7c8a12709696d193976b591cc7dc50588d3d1a6b5dc8772"},
+    {file = "pandas-2.2.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:696039430f7a562b74fa45f540aca068ea85fa34c244d0deee539cb6d70aa288"},
+    {file = "pandas-2.2.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:8e90497254aacacbc4ea6ae5e7a8cd75629d6ad2b30025a4a8b09aa4faf55151"},
+    {file = "pandas-2.2.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:58b84b91b0b9f4bafac2a0ac55002280c094dfc6402402332c0913a59654ab2b"},
+    {file = "pandas-2.2.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6d2123dc9ad6a814bcdea0f099885276b31b24f7edf40f6cdbc0912672e22eee"},
+    {file = "pandas-2.2.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:2925720037f06e89af896c70bca73459d7e6a4be96f9de79e2d440bd499fe0db"},
+    {file = "pandas-2.2.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:0cace394b6ea70c01ca1595f839cf193df35d1575986e484ad35c4aeae7266c1"},
+    {file = "pandas-2.2.2-cp311-cp311-win_amd64.whl", hash = "sha256:873d13d177501a28b2756375d59816c365e42ed8417b41665f346289adc68d24"},
+    {file = "pandas-2.2.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:9dfde2a0ddef507a631dc9dc4af6a9489d5e2e740e226ad426a05cabfbd7c8ef"},
+    {file = "pandas-2.2.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:e9b79011ff7a0f4b1d6da6a61aa1aa604fb312d6647de5bad20013682d1429ce"},
+    {file = "pandas-2.2.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1cb51fe389360f3b5a4d57dbd2848a5f033350336ca3b340d1c53a1fad33bcad"},
+    {file = "pandas-2.2.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eee3a87076c0756de40b05c5e9a6069c035ba43e8dd71c379e68cab2c20f16ad"},
+    {file = "pandas-2.2.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:3e374f59e440d4ab45ca2fffde54b81ac3834cf5ae2cdfa69c90bc03bde04d76"},
+    {file = "pandas-2.2.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:43498c0bdb43d55cb162cdc8c06fac328ccb5d2eabe3cadeb3529ae6f0517c32"},
+    {file = "pandas-2.2.2-cp312-cp312-win_amd64.whl", hash = "sha256:d187d355ecec3629624fccb01d104da7d7f391db0311145817525281e2804d23"},
+    {file = "pandas-2.2.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:0ca6377b8fca51815f382bd0b697a0814c8bda55115678cbc94c30aacbb6eff2"},
+    {file = "pandas-2.2.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9057e6aa78a584bc93a13f0a9bf7e753a5e9770a30b4d758b8d5f2a62a9433cd"},
+    {file = "pandas-2.2.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:001910ad31abc7bf06f49dcc903755d2f7f3a9186c0c040b827e522e9cef0863"},
+    {file = "pandas-2.2.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:66b479b0bd07204e37583c191535505410daa8df638fd8e75ae1b383851fe921"},
+    {file = "pandas-2.2.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:a77e9d1c386196879aa5eb712e77461aaee433e54c68cf253053a73b7e49c33a"},
+    {file = "pandas-2.2.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:92fd6b027924a7e178ac202cfbe25e53368db90d56872d20ffae94b96c7acc57"},
+    {file = "pandas-2.2.2-cp39-cp39-win_amd64.whl", hash = "sha256:640cef9aa381b60e296db324337a554aeeb883ead99dc8f6c18e81a93942f5f4"},
+    {file = "pandas-2.2.2.tar.gz", hash = "sha256:9e79019aba43cb4fda9e4d983f8e88ca0373adbb697ae9c6c43093218de28b54"},
 ]
 
 [package.dependencies]
 numpy = [
-    {version = ">=1.26.0,<2", markers = "python_version >= \"3.12\""},
-    {version = ">=1.23.2,<2", markers = "python_version == \"3.11\""},
-    {version = ">=1.22.4,<2", markers = "python_version < \"3.11\""},
+    {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
+    {version = ">=1.23.2", markers = "python_version == \"3.11\""},
+    {version = ">=1.22.4", markers = "python_version < \"3.11\""},
 ]
 python-dateutil = ">=2.8.2"
 pytz = ">=2020.1"
@@ -2233,7 +2483,7 @@ xmp = ["defusedxml"]
 name = "platformdirs"
 version = "4.2.0"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
     {file = "platformdirs-4.2.0-py3-none-any.whl", hash = "sha256:0614df2a2f37e1a662acbd8e2b25b92ccf8632929bc6d43467e17fe89c75e068"},
@@ -2248,7 +2498,7 @@ test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4.3)", "pytest-
 name = "pluggy"
 version = "1.4.0"
 description = "plugin and hook calling mechanisms for python"
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
     {file = "pluggy-1.4.0-py3-none-any.whl", hash = "sha256:7db9f7b503d67d1c5b95f59773ebb58a8c1c288129a88665838012cfb07b8981"},
@@ -2263,7 +2513,7 @@ testing = ["pytest", "pytest-benchmark"]
 name = "pre-commit"
 version = "3.7.0"
 description = "A framework for managing and maintaining multi-language pre-commit hooks."
-optional = false
+optional = true
 python-versions = ">=3.9"
 files = [
     {file = "pre_commit-3.7.0-py2.py3-none-any.whl", hash = "sha256:5eae9e10c2b5ac51577c3452ec0a490455c45a0533f7960f993a0d01e59decab"},
@@ -2277,20 +2527,6 @@ nodeenv = ">=0.11.1"
 pyyaml = ">=5.1"
 virtualenv = ">=20.10.0"
 
-[[package]]
-name = "proglog"
-version = "0.1.10"
-description = "Log and progress bar manager for console, notebooks, web..."
-optional = false
-python-versions = "*"
-files = [
-    {file = "proglog-0.1.10-py3-none-any.whl", hash = "sha256:19d5da037e8c813da480b741e3fa71fb1ac0a5b02bf21c41577c7f327485ec50"},
-    {file = "proglog-0.1.10.tar.gz", hash = "sha256:658c28c9c82e4caeb2f25f488fff9ceace22f8d69b15d0c1c86d64275e4ddab4"},
-]
-
-[package.dependencies]
-tqdm = "*"
-
 [[package]]
 name = "protobuf"
 version = "4.25.3"
@@ -2339,6 +2575,65 @@ files = [
 [package.extras]
 test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"]
 
+[[package]]
+name = "pyarrow"
+version = "15.0.2"
+description = "Python library for Apache Arrow"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "pyarrow-15.0.2-cp310-cp310-macosx_10_15_x86_64.whl", hash = "sha256:88b340f0a1d05b5ccc3d2d986279045655b1fe8e41aba6ca44ea28da0d1455d8"},
+    {file = "pyarrow-15.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:eaa8f96cecf32da508e6c7f69bb8401f03745c050c1dd42ec2596f2e98deecac"},
+    {file = "pyarrow-15.0.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:23c6753ed4f6adb8461e7c383e418391b8d8453c5d67e17f416c3a5d5709afbd"},
+    {file = "pyarrow-15.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f639c059035011db8c0497e541a8a45d98a58dbe34dc8fadd0ef128f2cee46e5"},
+    {file = "pyarrow-15.0.2-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:290e36a59a0993e9a5224ed2fb3e53375770f07379a0ea03ee2fce2e6d30b423"},
+    {file = "pyarrow-15.0.2-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:06c2bb2a98bc792f040bef31ad3e9be6a63d0cb39189227c08a7d955db96816e"},
+    {file = "pyarrow-15.0.2-cp310-cp310-win_amd64.whl", hash = "sha256:f7a197f3670606a960ddc12adbe8075cea5f707ad7bf0dffa09637fdbb89f76c"},
+    {file = "pyarrow-15.0.2-cp311-cp311-macosx_10_15_x86_64.whl", hash = "sha256:5f8bc839ea36b1f99984c78e06e7a06054693dc2af8920f6fb416b5bca9944e4"},
+    {file = "pyarrow-15.0.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:f5e81dfb4e519baa6b4c80410421528c214427e77ca0ea9461eb4097c328fa33"},
+    {file = "pyarrow-15.0.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3a4f240852b302a7af4646c8bfe9950c4691a419847001178662a98915fd7ee7"},
+    {file = "pyarrow-15.0.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4e7d9cfb5a1e648e172428c7a42b744610956f3b70f524aa3a6c02a448ba853e"},
+    {file = "pyarrow-15.0.2-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:2d4f905209de70c0eb5b2de6763104d5a9a37430f137678edfb9a675bac9cd98"},
+    {file = "pyarrow-15.0.2-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:90adb99e8ce5f36fbecbbc422e7dcbcbed07d985eed6062e459e23f9e71fd197"},
+    {file = "pyarrow-15.0.2-cp311-cp311-win_amd64.whl", hash = "sha256:b116e7fd7889294cbd24eb90cd9bdd3850be3738d61297855a71ac3b8124ee38"},
+    {file = "pyarrow-15.0.2-cp312-cp312-macosx_10_15_x86_64.whl", hash = "sha256:25335e6f1f07fdaa026a61c758ee7d19ce824a866b27bba744348fa73bb5a440"},
+    {file = "pyarrow-15.0.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:90f19e976d9c3d8e73c80be84ddbe2f830b6304e4c576349d9360e335cd627fc"},
+    {file = "pyarrow-15.0.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a22366249bf5fd40ddacc4f03cd3160f2d7c247692945afb1899bab8a140ddfb"},
+    {file = "pyarrow-15.0.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c2a335198f886b07e4b5ea16d08ee06557e07db54a8400cc0d03c7f6a22f785f"},
+    {file = "pyarrow-15.0.2-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:3e6d459c0c22f0b9c810a3917a1de3ee704b021a5fb8b3bacf968eece6df098f"},
+    {file = "pyarrow-15.0.2-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:033b7cad32198754d93465dcfb71d0ba7cb7cd5c9afd7052cab7214676eec38b"},
+    {file = "pyarrow-15.0.2-cp312-cp312-win_amd64.whl", hash = "sha256:29850d050379d6e8b5a693098f4de7fd6a2bea4365bfd073d7c57c57b95041ee"},
+    {file = "pyarrow-15.0.2-cp38-cp38-macosx_10_15_x86_64.whl", hash = "sha256:7167107d7fb6dcadb375b4b691b7e316f4368f39f6f45405a05535d7ad5e5058"},
+    {file = "pyarrow-15.0.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:e85241b44cc3d365ef950432a1b3bd44ac54626f37b2e3a0cc89c20e45dfd8bf"},
+    {file = "pyarrow-15.0.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:248723e4ed3255fcd73edcecc209744d58a9ca852e4cf3d2577811b6d4b59818"},
+    {file = "pyarrow-15.0.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3ff3bdfe6f1b81ca5b73b70a8d482d37a766433823e0c21e22d1d7dde76ca33f"},
+    {file = "pyarrow-15.0.2-cp38-cp38-manylinux_2_28_aarch64.whl", hash = "sha256:f3d77463dee7e9f284ef42d341689b459a63ff2e75cee2b9302058d0d98fe142"},
+    {file = "pyarrow-15.0.2-cp38-cp38-manylinux_2_28_x86_64.whl", hash = "sha256:8c1faf2482fb89766e79745670cbca04e7018497d85be9242d5350cba21357e1"},
+    {file = "pyarrow-15.0.2-cp38-cp38-win_amd64.whl", hash = "sha256:28f3016958a8e45a1069303a4a4f6a7d4910643fc08adb1e2e4a7ff056272ad3"},
+    {file = "pyarrow-15.0.2-cp39-cp39-macosx_10_15_x86_64.whl", hash = "sha256:89722cb64286ab3d4daf168386f6968c126057b8c7ec3ef96302e81d8cdb8ae4"},
+    {file = "pyarrow-15.0.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:cd0ba387705044b3ac77b1b317165c0498299b08261d8122c96051024f953cd5"},
+    {file = "pyarrow-15.0.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ad2459bf1f22b6a5cdcc27ebfd99307d5526b62d217b984b9f5c974651398832"},
+    {file = "pyarrow-15.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:58922e4bfece8b02abf7159f1f53a8f4d9f8e08f2d988109126c17c3bb261f22"},
+    {file = "pyarrow-15.0.2-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:adccc81d3dc0478ea0b498807b39a8d41628fa9210729b2f718b78cb997c7c91"},
+    {file = "pyarrow-15.0.2-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:8bd2baa5fe531571847983f36a30ddbf65261ef23e496862ece83bdceb70420d"},
+    {file = "pyarrow-15.0.2-cp39-cp39-win_amd64.whl", hash = "sha256:6669799a1d4ca9da9c7e06ef48368320f5856f36f9a4dd31a11839dda3f6cc8c"},
+    {file = "pyarrow-15.0.2.tar.gz", hash = "sha256:9c9bc803cb3b7bfacc1e96ffbfd923601065d9d3f911179d81e72d99fd74a3d9"},
+]
+
+[package.dependencies]
+numpy = ">=1.16.6,<2"
+
+[[package]]
+name = "pyarrow-hotfix"
+version = "0.6"
+description = ""
+optional = false
+python-versions = ">=3.5"
+files = [
+    {file = "pyarrow_hotfix-0.6-py3-none-any.whl", hash = "sha256:dcc9ae2d220dff0083be6a9aa8e0cdee5182ad358d4931fce825c545e5c89178"},
+    {file = "pyarrow_hotfix-0.6.tar.gz", hash = "sha256:79d3e030f7ff890d408a100ac16d6f00b14d44a502d7897cd9fc3e3a534e9945"},
+]
+
 [[package]]
 name = "pycparser"
 version = "2.22"
@@ -2354,7 +2649,7 @@ files = [
 name = "pygame"
 version = "2.5.2"
 description = "Python Game Development"
-optional = false
+optional = true
 python-versions = ">=3.6"
 files = [
     {file = "pygame-2.5.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a0769eb628c818761755eb0a0ca8216b95270ea8cbcbc82227e39ac9644643da"},
@@ -2528,7 +2823,7 @@ files = [
 name = "pytest"
 version = "8.1.1"
 description = "pytest: simple powerful testing with Python"
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
     {file = "pytest-8.1.1-py3-none-any.whl", hash = "sha256:2a8386cfc11fa9d2c50ee7b2a57e7d898ef90470a7a34c4b949ff59662bb78b7"},
@@ -2550,7 +2845,7 @@ testing = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygm
 name = "pytest-cov"
 version = "5.0.0"
 description = "Pytest plugin for measuring coverage."
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
     {file = "pytest-cov-5.0.0.tar.gz", hash = "sha256:5837b58e9f6ebd335b0f8060eecce69b662415b16dc503883a02f45dfeb14857"},
@@ -3370,7 +3665,7 @@ all = ["defusedxml", "fsspec", "imagecodecs (>=2023.8.12)", "lxml", "matplotlib"
 name = "tomli"
 version = "2.0.1"
 description = "A lil' TOML parser"
-optional = false
+optional = true
 python-versions = ">=3.7"
 files = [
     {file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
@@ -3563,7 +3858,7 @@ zstd = ["zstandard (>=0.18.0)"]
 name = "virtualenv"
 version = "20.25.1"
 description = "Virtual Python Environment builder"
-optional = false
+optional = true
 python-versions = ">=3.7"
 files = [
     {file = "virtualenv-20.25.1-py3-none-any.whl", hash = "sha256:961c026ac520bac5f69acb8ea063e8a4f071bcc9457b9c1f28f6b085c511583a"},
@@ -3634,6 +3929,226 @@ MarkupSafe = ">=2.1.1"
 [package.extras]
 watchdog = ["watchdog (>=2.3)"]
 
+[[package]]
+name = "xxhash"
+version = "3.4.1"
+description = "Python binding for xxHash"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "xxhash-3.4.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:91dbfa55346ad3e18e738742236554531a621042e419b70ad8f3c1d9c7a16e7f"},
+    {file = "xxhash-3.4.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:665a65c2a48a72068fcc4d21721510df5f51f1142541c890491afc80451636d2"},
+    {file = "xxhash-3.4.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bb11628470a6004dc71a09fe90c2f459ff03d611376c1debeec2d648f44cb693"},
+    {file = "xxhash-3.4.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5bef2a7dc7b4f4beb45a1edbba9b9194c60a43a89598a87f1a0226d183764189"},
+    {file = "xxhash-3.4.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:9c0f7b2d547d72c7eda7aa817acf8791f0146b12b9eba1d4432c531fb0352228"},
+    {file = "xxhash-3.4.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:00f2fdef6b41c9db3d2fc0e7f94cb3db86693e5c45d6de09625caad9a469635b"},
+    {file = "xxhash-3.4.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:23cfd9ca09acaf07a43e5a695143d9a21bf00f5b49b15c07d5388cadf1f9ce11"},
+    {file = "xxhash-3.4.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:6a9ff50a3cf88355ca4731682c168049af1ca222d1d2925ef7119c1a78e95b3b"},
+    {file = "xxhash-3.4.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:f1d7c69a1e9ca5faa75546fdd267f214f63f52f12692f9b3a2f6467c9e67d5e7"},
+    {file = "xxhash-3.4.1-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:672b273040d5d5a6864a36287f3514efcd1d4b1b6a7480f294c4b1d1ee1b8de0"},
+    {file = "xxhash-3.4.1-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:4178f78d70e88f1c4a89ff1ffe9f43147185930bb962ee3979dba15f2b1cc799"},
+    {file = "xxhash-3.4.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:9804b9eb254d4b8cc83ab5a2002128f7d631dd427aa873c8727dba7f1f0d1c2b"},
+    {file = "xxhash-3.4.1-cp310-cp310-win32.whl", hash = "sha256:c09c49473212d9c87261d22c74370457cfff5db2ddfc7fd1e35c80c31a8c14ce"},
+    {file = "xxhash-3.4.1-cp310-cp310-win_amd64.whl", hash = "sha256:ebbb1616435b4a194ce3466d7247df23499475c7ed4eb2681a1fa42ff766aff6"},
+    {file = "xxhash-3.4.1-cp310-cp310-win_arm64.whl", hash = "sha256:25dc66be3db54f8a2d136f695b00cfe88018e59ccff0f3b8f545869f376a8a46"},
+    {file = "xxhash-3.4.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:58c49083801885273e262c0f5bbeac23e520564b8357fbb18fb94ff09d3d3ea5"},
+    {file = "xxhash-3.4.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:b526015a973bfbe81e804a586b703f163861da36d186627e27524f5427b0d520"},
+    {file = "xxhash-3.4.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:36ad4457644c91a966f6fe137d7467636bdc51a6ce10a1d04f365c70d6a16d7e"},
+    {file = "xxhash-3.4.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:248d3e83d119770f96003271fe41e049dd4ae52da2feb8f832b7a20e791d2920"},
+    {file = "xxhash-3.4.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2070b6d5bbef5ee031666cf21d4953c16e92c2f8a24a94b5c240f8995ba3b1d0"},
+    {file = "xxhash-3.4.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b2746035f518f0410915e247877f7df43ef3372bf36cfa52cc4bc33e85242641"},
+    {file = "xxhash-3.4.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2a8ba6181514681c2591840d5632fcf7356ab287d4aff1c8dea20f3c78097088"},
+    {file = "xxhash-3.4.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:0aac5010869240e95f740de43cd6a05eae180c59edd182ad93bf12ee289484fa"},
+    {file = "xxhash-3.4.1-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:4cb11d8debab1626181633d184b2372aaa09825bde709bf927704ed72765bed1"},
+    {file = "xxhash-3.4.1-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:b29728cff2c12f3d9f1d940528ee83918d803c0567866e062683f300d1d2eff3"},
+    {file = "xxhash-3.4.1-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:a15cbf3a9c40672523bdb6ea97ff74b443406ba0ab9bca10ceccd9546414bd84"},
+    {file = "xxhash-3.4.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:6e66df260fed01ed8ea790c2913271641c58481e807790d9fca8bfd5a3c13844"},
+    {file = "xxhash-3.4.1-cp311-cp311-win32.whl", hash = "sha256:e867f68a8f381ea12858e6d67378c05359d3a53a888913b5f7d35fbf68939d5f"},
+    {file = "xxhash-3.4.1-cp311-cp311-win_amd64.whl", hash = "sha256:200a5a3ad9c7c0c02ed1484a1d838b63edcf92ff538770ea07456a3732c577f4"},
+    {file = "xxhash-3.4.1-cp311-cp311-win_arm64.whl", hash = "sha256:1d03f1c0d16d24ea032e99f61c552cb2b77d502e545187338bea461fde253583"},
+    {file = "xxhash-3.4.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:c4bbba9b182697a52bc0c9f8ec0ba1acb914b4937cd4a877ad78a3b3eeabefb3"},
+    {file = "xxhash-3.4.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:9fd28a9da300e64e434cfc96567a8387d9a96e824a9be1452a1e7248b7763b78"},
+    {file = "xxhash-3.4.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6066d88c9329ab230e18998daec53d819daeee99d003955c8db6fc4971b45ca3"},
+    {file = "xxhash-3.4.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:93805bc3233ad89abf51772f2ed3355097a5dc74e6080de19706fc447da99cd3"},
+    {file = "xxhash-3.4.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:64da57d5ed586ebb2ecdde1e997fa37c27fe32fe61a656b77fabbc58e6fbff6e"},
+    {file = "xxhash-3.4.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7a97322e9a7440bf3c9805cbaac090358b43f650516486746f7fa482672593df"},
+    {file = "xxhash-3.4.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:bbe750d512982ee7d831838a5dee9e9848f3fb440e4734cca3f298228cc957a6"},
+    {file = "xxhash-3.4.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:fd79d4087727daf4d5b8afe594b37d611ab95dc8e29fe1a7517320794837eb7d"},
+    {file = "xxhash-3.4.1-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:743612da4071ff9aa4d055f3f111ae5247342931dedb955268954ef7201a71ff"},
+    {file = "xxhash-3.4.1-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:b41edaf05734092f24f48c0958b3c6cbaaa5b7e024880692078c6b1f8247e2fc"},
+    {file = "xxhash-3.4.1-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:a90356ead70d715fe64c30cd0969072de1860e56b78adf7c69d954b43e29d9fa"},
+    {file = "xxhash-3.4.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:ac56eebb364e44c85e1d9e9cc5f6031d78a34f0092fea7fc80478139369a8b4a"},
+    {file = "xxhash-3.4.1-cp312-cp312-win32.whl", hash = "sha256:911035345932a153c427107397c1518f8ce456f93c618dd1c5b54ebb22e73747"},
+    {file = "xxhash-3.4.1-cp312-cp312-win_amd64.whl", hash = "sha256:f31ce76489f8601cc7b8713201ce94b4bd7b7ce90ba3353dccce7e9e1fee71fa"},
+    {file = "xxhash-3.4.1-cp312-cp312-win_arm64.whl", hash = "sha256:b5beb1c6a72fdc7584102f42c4d9df232ee018ddf806e8c90906547dfb43b2da"},
+    {file = "xxhash-3.4.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:6d42b24d1496deb05dee5a24ed510b16de1d6c866c626c2beb11aebf3be278b9"},
+    {file = "xxhash-3.4.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3b685fab18876b14a8f94813fa2ca80cfb5ab6a85d31d5539b7cd749ce9e3624"},
+    {file = "xxhash-3.4.1-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:419ffe34c17ae2df019a4685e8d3934d46b2e0bbe46221ab40b7e04ed9f11137"},
+    {file = "xxhash-3.4.1-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:0e041ce5714f95251a88670c114b748bca3bf80cc72400e9f23e6d0d59cf2681"},
+    {file = "xxhash-3.4.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fc860d887c5cb2f524899fb8338e1bb3d5789f75fac179101920d9afddef284b"},
+    {file = "xxhash-3.4.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:312eba88ffe0a05e332e3a6f9788b73883752be63f8588a6dc1261a3eaaaf2b2"},
+    {file = "xxhash-3.4.1-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:e01226b6b6a1ffe4e6bd6d08cfcb3ca708b16f02eb06dd44f3c6e53285f03e4f"},
+    {file = "xxhash-3.4.1-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:9f3025a0d5d8cf406a9313cd0d5789c77433ba2004b1c75439b67678e5136537"},
+    {file = "xxhash-3.4.1-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:6d3472fd4afef2a567d5f14411d94060099901cd8ce9788b22b8c6f13c606a93"},
+    {file = "xxhash-3.4.1-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:43984c0a92f06cac434ad181f329a1445017c33807b7ae4f033878d860a4b0f2"},
+    {file = "xxhash-3.4.1-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:a55e0506fdb09640a82ec4f44171273eeabf6f371a4ec605633adb2837b5d9d5"},
+    {file = "xxhash-3.4.1-cp37-cp37m-win32.whl", hash = "sha256:faec30437919555b039a8bdbaba49c013043e8f76c999670aef146d33e05b3a0"},
+    {file = "xxhash-3.4.1-cp37-cp37m-win_amd64.whl", hash = "sha256:c9e1b646af61f1fc7083bb7b40536be944f1ac67ef5e360bca2d73430186971a"},
+    {file = "xxhash-3.4.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:961d948b7b1c1b6c08484bbce3d489cdf153e4122c3dfb07c2039621243d8795"},
+    {file = "xxhash-3.4.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:719a378930504ab159f7b8e20fa2aa1896cde050011af838af7e7e3518dd82de"},
+    {file = "xxhash-3.4.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:74fb5cb9406ccd7c4dd917f16630d2e5e8cbbb02fc2fca4e559b2a47a64f4940"},
+    {file = "xxhash-3.4.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5dab508ac39e0ab988039bc7f962c6ad021acd81fd29145962b068df4148c476"},
+    {file = "xxhash-3.4.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8c59f3e46e7daf4c589e8e853d700ef6607afa037bfad32c390175da28127e8c"},
+    {file = "xxhash-3.4.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8cc07256eff0795e0f642df74ad096f8c5d23fe66bc138b83970b50fc7f7f6c5"},
+    {file = "xxhash-3.4.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e9f749999ed80f3955a4af0eb18bb43993f04939350b07b8dd2f44edc98ffee9"},
+    {file = "xxhash-3.4.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:7688d7c02149a90a3d46d55b341ab7ad1b4a3f767be2357e211b4e893efbaaf6"},
+    {file = "xxhash-3.4.1-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:a8b4977963926f60b0d4f830941c864bed16aa151206c01ad5c531636da5708e"},
+    {file = "xxhash-3.4.1-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:8106d88da330f6535a58a8195aa463ef5281a9aa23b04af1848ff715c4398fb4"},
+    {file = "xxhash-3.4.1-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:4c76a77dbd169450b61c06fd2d5d436189fc8ab7c1571d39265d4822da16df22"},
+    {file = "xxhash-3.4.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:11f11357c86d83e53719c592021fd524efa9cf024dc7cb1dfb57bbbd0d8713f2"},
+    {file = "xxhash-3.4.1-cp38-cp38-win32.whl", hash = "sha256:0c786a6cd74e8765c6809892a0d45886e7c3dc54de4985b4a5eb8b630f3b8e3b"},
+    {file = "xxhash-3.4.1-cp38-cp38-win_amd64.whl", hash = "sha256:aabf37fb8fa27430d50507deeab2ee7b1bcce89910dd10657c38e71fee835594"},
+    {file = "xxhash-3.4.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:6127813abc1477f3a83529b6bbcfeddc23162cece76fa69aee8f6a8a97720562"},
+    {file = "xxhash-3.4.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ef2e194262f5db16075caea7b3f7f49392242c688412f386d3c7b07c7733a70a"},
+    {file = "xxhash-3.4.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:71be94265b6c6590f0018bbf73759d21a41c6bda20409782d8117e76cd0dfa8b"},
+    {file = "xxhash-3.4.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:10e0a619cdd1c0980e25eb04e30fe96cf8f4324758fa497080af9c21a6de573f"},
+    {file = "xxhash-3.4.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:fa122124d2e3bd36581dd78c0efa5f429f5220313479fb1072858188bc2d5ff1"},
+    {file = "xxhash-3.4.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e17032f5a4fea0a074717fe33477cb5ee723a5f428de7563e75af64bfc1b1e10"},
+    {file = "xxhash-3.4.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ca7783b20e3e4f3f52f093538895863f21d18598f9a48211ad757680c3bd006f"},
+    {file = "xxhash-3.4.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:d77d09a1113899fad5f354a1eb4f0a9afcf58cefff51082c8ad643ff890e30cf"},
+    {file = "xxhash-3.4.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:21287bcdd299fdc3328cc0fbbdeaa46838a1c05391264e51ddb38a3f5b09611f"},
+    {file = "xxhash-3.4.1-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:dfd7a6cc483e20b4ad90224aeb589e64ec0f31e5610ab9957ff4314270b2bf31"},
+    {file = "xxhash-3.4.1-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:543c7fcbc02bbb4840ea9915134e14dc3dc15cbd5a30873a7a5bf66039db97ec"},
+    {file = "xxhash-3.4.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:fe0a98d990e433013f41827b62be9ab43e3cf18e08b1483fcc343bda0d691182"},
+    {file = "xxhash-3.4.1-cp39-cp39-win32.whl", hash = "sha256:b9097af00ebf429cc7c0e7d2fdf28384e4e2e91008130ccda8d5ae653db71e54"},
+    {file = "xxhash-3.4.1-cp39-cp39-win_amd64.whl", hash = "sha256:d699b921af0dcde50ab18be76c0d832f803034d80470703700cb7df0fbec2832"},
+    {file = "xxhash-3.4.1-cp39-cp39-win_arm64.whl", hash = "sha256:2be491723405e15cc099ade1280133ccfbf6322d2ef568494fb7d07d280e7eee"},
+    {file = "xxhash-3.4.1-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:431625fad7ab5649368c4849d2b49a83dc711b1f20e1f7f04955aab86cd307bc"},
+    {file = "xxhash-3.4.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fc6dbd5fc3c9886a9e041848508b7fb65fd82f94cc793253990f81617b61fe49"},
+    {file = "xxhash-3.4.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f3ff8dbd0ec97aec842476cb8ccc3e17dd288cd6ce3c8ef38bff83d6eb927817"},
+    {file = "xxhash-3.4.1-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ef73a53fe90558a4096e3256752268a8bdc0322f4692ed928b6cd7ce06ad4fe3"},
+    {file = "xxhash-3.4.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:450401f42bbd274b519d3d8dcf3c57166913381a3d2664d6609004685039f9d3"},
+    {file = "xxhash-3.4.1-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:a162840cf4de8a7cd8720ff3b4417fbc10001eefdd2d21541a8226bb5556e3bb"},
+    {file = "xxhash-3.4.1-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b736a2a2728ba45017cb67785e03125a79d246462dfa892d023b827007412c52"},
+    {file = "xxhash-3.4.1-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1d0ae4c2e7698adef58710d6e7a32ff518b66b98854b1c68e70eee504ad061d8"},
+    {file = "xxhash-3.4.1-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d6322c4291c3ff174dcd104fae41500e75dad12be6f3085d119c2c8a80956c51"},
+    {file = "xxhash-3.4.1-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:dd59ed668801c3fae282f8f4edadf6dc7784db6d18139b584b6d9677ddde1b6b"},
+    {file = "xxhash-3.4.1-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:92693c487e39523a80474b0394645b393f0ae781d8db3474ccdcead0559ccf45"},
+    {file = "xxhash-3.4.1-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4603a0f642a1e8d7f3ba5c4c25509aca6a9c1cc16f85091004a7028607ead663"},
+    {file = "xxhash-3.4.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6fa45e8cbfbadb40a920fe9ca40c34b393e0b067082d94006f7f64e70c7490a6"},
+    {file = "xxhash-3.4.1-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:595b252943b3552de491ff51e5bb79660f84f033977f88f6ca1605846637b7c6"},
+    {file = "xxhash-3.4.1-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:562d8b8f783c6af969806aaacf95b6c7b776929ae26c0cd941d54644ea7ef51e"},
+    {file = "xxhash-3.4.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:41ddeae47cf2828335d8d991f2d2b03b0bdc89289dc64349d712ff8ce59d0647"},
+    {file = "xxhash-3.4.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c44d584afdf3c4dbb3277e32321d1a7b01d6071c1992524b6543025fb8f4206f"},
+    {file = "xxhash-3.4.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fd7bddb3a5b86213cc3f2c61500c16945a1b80ecd572f3078ddbbe68f9dabdfb"},
+    {file = "xxhash-3.4.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9ecb6c987b62437c2f99c01e97caf8d25660bf541fe79a481d05732e5236719c"},
+    {file = "xxhash-3.4.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:696b4e18b7023527d5c50ed0626ac0520edac45a50ec7cf3fc265cd08b1f4c03"},
+    {file = "xxhash-3.4.1.tar.gz", hash = "sha256:0379d6cf1ff987cd421609a264ce025e74f346e3e145dd106c0cc2e3ec3f99a9"},
+]
+
+[[package]]
+name = "yarl"
+version = "1.9.4"
+description = "Yet another URL library"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "yarl-1.9.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a8c1df72eb746f4136fe9a2e72b0c9dc1da1cbd23b5372f94b5820ff8ae30e0e"},
+    {file = "yarl-1.9.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a3a6ed1d525bfb91b3fc9b690c5a21bb52de28c018530ad85093cc488bee2dd2"},
+    {file = "yarl-1.9.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c38c9ddb6103ceae4e4498f9c08fac9b590c5c71b0370f98714768e22ac6fa66"},
+    {file = "yarl-1.9.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d9e09c9d74f4566e905a0b8fa668c58109f7624db96a2171f21747abc7524234"},
+    {file = "yarl-1.9.4-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b8477c1ee4bd47c57d49621a062121c3023609f7a13b8a46953eb6c9716ca392"},
+    {file = "yarl-1.9.4-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d5ff2c858f5f6a42c2a8e751100f237c5e869cbde669a724f2062d4c4ef93551"},
+    {file = "yarl-1.9.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:357495293086c5b6d34ca9616a43d329317feab7917518bc97a08f9e55648455"},
+    {file = "yarl-1.9.4-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:54525ae423d7b7a8ee81ba189f131054defdb122cde31ff17477951464c1691c"},
+    {file = "yarl-1.9.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:801e9264d19643548651b9db361ce3287176671fb0117f96b5ac0ee1c3530d53"},
+    {file = "yarl-1.9.4-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:e516dc8baf7b380e6c1c26792610230f37147bb754d6426462ab115a02944385"},
+    {file = "yarl-1.9.4-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:7d5aaac37d19b2904bb9dfe12cdb08c8443e7ba7d2852894ad448d4b8f442863"},
+    {file = "yarl-1.9.4-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:54beabb809ffcacbd9d28ac57b0db46e42a6e341a030293fb3185c409e626b8b"},
+    {file = "yarl-1.9.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:bac8d525a8dbc2a1507ec731d2867025d11ceadcb4dd421423a5d42c56818541"},
+    {file = "yarl-1.9.4-cp310-cp310-win32.whl", hash = "sha256:7855426dfbddac81896b6e533ebefc0af2f132d4a47340cee6d22cac7190022d"},
+    {file = "yarl-1.9.4-cp310-cp310-win_amd64.whl", hash = "sha256:848cd2a1df56ddbffeb375535fb62c9d1645dde33ca4d51341378b3f5954429b"},
+    {file = "yarl-1.9.4-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:35a2b9396879ce32754bd457d31a51ff0a9d426fd9e0e3c33394bf4b9036b099"},
+    {file = "yarl-1.9.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:4c7d56b293cc071e82532f70adcbd8b61909eec973ae9d2d1f9b233f3d943f2c"},
+    {file = "yarl-1.9.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:d8a1c6c0be645c745a081c192e747c5de06e944a0d21245f4cf7c05e457c36e0"},
+    {file = "yarl-1.9.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4b3c1ffe10069f655ea2d731808e76e0f452fc6c749bea04781daf18e6039525"},
+    {file = "yarl-1.9.4-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:549d19c84c55d11687ddbd47eeb348a89df9cb30e1993f1b128f4685cd0ebbf8"},
+    {file = "yarl-1.9.4-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a7409f968456111140c1c95301cadf071bd30a81cbd7ab829169fb9e3d72eae9"},
+    {file = "yarl-1.9.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e23a6d84d9d1738dbc6e38167776107e63307dfc8ad108e580548d1f2c587f42"},
+    {file = "yarl-1.9.4-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d8b889777de69897406c9fb0b76cdf2fd0f31267861ae7501d93003d55f54fbe"},
+    {file = "yarl-1.9.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:03caa9507d3d3c83bca08650678e25364e1843b484f19986a527630ca376ecce"},
+    {file = "yarl-1.9.4-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:4e9035df8d0880b2f1c7f5031f33f69e071dfe72ee9310cfc76f7b605958ceb9"},
+    {file = "yarl-1.9.4-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:c0ec0ed476f77db9fb29bca17f0a8fcc7bc97ad4c6c1d8959c507decb22e8572"},
+    {file = "yarl-1.9.4-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:ee04010f26d5102399bd17f8df8bc38dc7ccd7701dc77f4a68c5b8d733406958"},
+    {file = "yarl-1.9.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:49a180c2e0743d5d6e0b4d1a9e5f633c62eca3f8a86ba5dd3c471060e352ca98"},
+    {file = "yarl-1.9.4-cp311-cp311-win32.whl", hash = "sha256:81eb57278deb6098a5b62e88ad8281b2ba09f2f1147c4767522353eaa6260b31"},
+    {file = "yarl-1.9.4-cp311-cp311-win_amd64.whl", hash = "sha256:d1d2532b340b692880261c15aee4dc94dd22ca5d61b9db9a8a361953d36410b1"},
+    {file = "yarl-1.9.4-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:0d2454f0aef65ea81037759be5ca9947539667eecebca092733b2eb43c965a81"},
+    {file = "yarl-1.9.4-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:44d8ffbb9c06e5a7f529f38f53eda23e50d1ed33c6c869e01481d3fafa6b8142"},
+    {file = "yarl-1.9.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:aaaea1e536f98754a6e5c56091baa1b6ce2f2700cc4a00b0d49eca8dea471074"},
+    {file = "yarl-1.9.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3777ce5536d17989c91696db1d459574e9a9bd37660ea7ee4d3344579bb6f129"},
+    {file = "yarl-1.9.4-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9fc5fc1eeb029757349ad26bbc5880557389a03fa6ada41703db5e068881e5f2"},
+    {file = "yarl-1.9.4-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:ea65804b5dc88dacd4a40279af0cdadcfe74b3e5b4c897aa0d81cf86927fee78"},
+    {file = "yarl-1.9.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aa102d6d280a5455ad6a0f9e6d769989638718e938a6a0a2ff3f4a7ff8c62cc4"},
+    {file = "yarl-1.9.4-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:09efe4615ada057ba2d30df871d2f668af661e971dfeedf0c159927d48bbeff0"},
+    {file = "yarl-1.9.4-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:008d3e808d03ef28542372d01057fd09168419cdc8f848efe2804f894ae03e51"},
+    {file = "yarl-1.9.4-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:6f5cb257bc2ec58f437da2b37a8cd48f666db96d47b8a3115c29f316313654ff"},
+    {file = "yarl-1.9.4-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:992f18e0ea248ee03b5a6e8b3b4738850ae7dbb172cc41c966462801cbf62cf7"},
+    {file = "yarl-1.9.4-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:0e9d124c191d5b881060a9e5060627694c3bdd1fe24c5eecc8d5d7d0eb6faabc"},
+    {file = "yarl-1.9.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:3986b6f41ad22988e53d5778f91855dc0399b043fc8946d4f2e68af22ee9ff10"},
+    {file = "yarl-1.9.4-cp312-cp312-win32.whl", hash = "sha256:4b21516d181cd77ebd06ce160ef8cc2a5e9ad35fb1c5930882baff5ac865eee7"},
+    {file = "yarl-1.9.4-cp312-cp312-win_amd64.whl", hash = "sha256:a9bd00dc3bc395a662900f33f74feb3e757429e545d831eef5bb280252631984"},
+    {file = "yarl-1.9.4-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:63b20738b5aac74e239622d2fe30df4fca4942a86e31bf47a81a0e94c14df94f"},
+    {file = "yarl-1.9.4-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d7d7f7de27b8944f1fee2c26a88b4dabc2409d2fea7a9ed3df79b67277644e17"},
+    {file = "yarl-1.9.4-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c74018551e31269d56fab81a728f683667e7c28c04e807ba08f8c9e3bba32f14"},
+    {file = "yarl-1.9.4-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:ca06675212f94e7a610e85ca36948bb8fc023e458dd6c63ef71abfd482481aa5"},
+    {file = "yarl-1.9.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5aef935237d60a51a62b86249839b51345f47564208c6ee615ed2a40878dccdd"},
+    {file = "yarl-1.9.4-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2b134fd795e2322b7684155b7855cc99409d10b2e408056db2b93b51a52accc7"},
+    {file = "yarl-1.9.4-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:d25039a474c4c72a5ad4b52495056f843a7ff07b632c1b92ea9043a3d9950f6e"},
+    {file = "yarl-1.9.4-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:f7d6b36dd2e029b6bcb8a13cf19664c7b8e19ab3a58e0fefbb5b8461447ed5ec"},
+    {file = "yarl-1.9.4-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:957b4774373cf6f709359e5c8c4a0af9f6d7875db657adb0feaf8d6cb3c3964c"},
+    {file = "yarl-1.9.4-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:d7eeb6d22331e2fd42fce928a81c697c9ee2d51400bd1a28803965883e13cead"},
+    {file = "yarl-1.9.4-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:6a962e04b8f91f8c4e5917e518d17958e3bdee71fd1d8b88cdce74dd0ebbf434"},
+    {file = "yarl-1.9.4-cp37-cp37m-win32.whl", hash = "sha256:f3bc6af6e2b8f92eced34ef6a96ffb248e863af20ef4fde9448cc8c9b858b749"},
+    {file = "yarl-1.9.4-cp37-cp37m-win_amd64.whl", hash = "sha256:ad4d7a90a92e528aadf4965d685c17dacff3df282db1121136c382dc0b6014d2"},
+    {file = "yarl-1.9.4-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:ec61d826d80fc293ed46c9dd26995921e3a82146feacd952ef0757236fc137be"},
+    {file = "yarl-1.9.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:8be9e837ea9113676e5754b43b940b50cce76d9ed7d2461df1af39a8ee674d9f"},
+    {file = "yarl-1.9.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:bef596fdaa8f26e3d66af846bbe77057237cb6e8efff8cd7cc8dff9a62278bbf"},
+    {file = "yarl-1.9.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2d47552b6e52c3319fede1b60b3de120fe83bde9b7bddad11a69fb0af7db32f1"},
+    {file = "yarl-1.9.4-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:84fc30f71689d7fc9168b92788abc977dc8cefa806909565fc2951d02f6b7d57"},
+    {file = "yarl-1.9.4-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4aa9741085f635934f3a2583e16fcf62ba835719a8b2b28fb2917bb0537c1dfa"},
+    {file = "yarl-1.9.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:206a55215e6d05dbc6c98ce598a59e6fbd0c493e2de4ea6cc2f4934d5a18d130"},
+    {file = "yarl-1.9.4-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:07574b007ee20e5c375a8fe4a0789fad26db905f9813be0f9fef5a68080de559"},
+    {file = "yarl-1.9.4-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:5a2e2433eb9344a163aced6a5f6c9222c0786e5a9e9cac2c89f0b28433f56e23"},
+    {file = "yarl-1.9.4-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:6ad6d10ed9b67a382b45f29ea028f92d25bc0bc1daf6c5b801b90b5aa70fb9ec"},
+    {file = "yarl-1.9.4-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:6fe79f998a4052d79e1c30eeb7d6c1c1056ad33300f682465e1b4e9b5a188b78"},
+    {file = "yarl-1.9.4-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:a825ec844298c791fd28ed14ed1bffc56a98d15b8c58a20e0e08c1f5f2bea1be"},
+    {file = "yarl-1.9.4-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:8619d6915b3b0b34420cf9b2bb6d81ef59d984cb0fde7544e9ece32b4b3043c3"},
+    {file = "yarl-1.9.4-cp38-cp38-win32.whl", hash = "sha256:686a0c2f85f83463272ddffd4deb5e591c98aac1897d65e92319f729c320eece"},
+    {file = "yarl-1.9.4-cp38-cp38-win_amd64.whl", hash = "sha256:a00862fb23195b6b8322f7d781b0dc1d82cb3bcac346d1e38689370cc1cc398b"},
+    {file = "yarl-1.9.4-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:604f31d97fa493083ea21bd9b92c419012531c4e17ea6da0f65cacdcf5d0bd27"},
+    {file = "yarl-1.9.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:8a854227cf581330ffa2c4824d96e52ee621dd571078a252c25e3a3b3d94a1b1"},
+    {file = "yarl-1.9.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ba6f52cbc7809cd8d74604cce9c14868306ae4aa0282016b641c661f981a6e91"},
+    {file = "yarl-1.9.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a6327976c7c2f4ee6816eff196e25385ccc02cb81427952414a64811037bbc8b"},
+    {file = "yarl-1.9.4-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8397a3817d7dcdd14bb266283cd1d6fc7264a48c186b986f32e86d86d35fbac5"},
+    {file = "yarl-1.9.4-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e0381b4ce23ff92f8170080c97678040fc5b08da85e9e292292aba67fdac6c34"},
+    {file = "yarl-1.9.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:23d32a2594cb5d565d358a92e151315d1b2268bc10f4610d098f96b147370136"},
+    {file = "yarl-1.9.4-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ddb2a5c08a4eaaba605340fdee8fc08e406c56617566d9643ad8bf6852778fc7"},
+    {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:26a1dc6285e03f3cc9e839a2da83bcbf31dcb0d004c72d0730e755b33466c30e"},
+    {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:18580f672e44ce1238b82f7fb87d727c4a131f3a9d33a5e0e82b793362bf18b4"},
+    {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:29e0f83f37610f173eb7e7b5562dd71467993495e568e708d99e9d1944f561ec"},
+    {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:1f23e4fe1e8794f74b6027d7cf19dc25f8b63af1483d91d595d4a07eca1fb26c"},
+    {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:db8e58b9d79200c76956cefd14d5c90af54416ff5353c5bfd7cbe58818e26ef0"},
+    {file = "yarl-1.9.4-cp39-cp39-win32.whl", hash = "sha256:c7224cab95645c7ab53791022ae77a4509472613e839dab722a72abe5a684575"},
+    {file = "yarl-1.9.4-cp39-cp39-win_amd64.whl", hash = "sha256:824d6c50492add5da9374875ce72db7a0733b29c2394890aef23d533106e2b15"},
+    {file = "yarl-1.9.4-py3-none-any.whl", hash = "sha256:928cecb0ef9d5a7946eb6ff58417ad2fe9375762382f1bf5c55e61645f2c43ad"},
+    {file = "yarl-1.9.4.tar.gz", hash = "sha256:566db86717cf8080b99b58b083b773a908ae40f06681e87e589a976faf8246bf"},
+]
+
+[package.dependencies]
+idna = ">=2.0"
+multidict = ">=4.0"
+
 [[package]]
 name = "zarr"
 version = "2.17.2"
@@ -3672,10 +4187,12 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
 
 [extras]
 aloha = ["gym-aloha"]
+dev = ["debugpy", "pre-commit"]
 pusht = ["gym-pusht"]
+test = ["pytest", "pytest-cov"]
 xarm = ["gym-xarm"]
 
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "7ec0310f8dd0ffa4d92fa78e06513bce98c3657692b3753ff34aadd297a3766c"
+content-hash = "01ad4eb04061ec9f785d4574bf66d3e5cb4549e2ea11ab175895f94cb62c1f1c"
diff --git a/pyproject.toml b/pyproject.toml
index 743dece8..09348989 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,19 +1,25 @@
 [tool.poetry]
 name = "lerobot"
 version = "0.1.0"
-description = "Le robot is learning"
+description = "🤗 LeRobot: State-of-the-art Machine Learning for Real-World Robotics in Pytorch"
 authors = [
     "Rémi Cadène <re.cadene@gmail.com>",
+    "Alexander Soare <alexander.soare159@gmail.com>",
+    "Quentin Gallouédec <quentin.gallouedec@ec-lyon.fr>",
     "Simon Alibert <alibert.sim@gmail.com>",
+    "Thomas Wolf <thomaswolfcontact@gmail.com>",
 ]
-repository = "https://github.com/Cadene/lerobot"
+repository = "https://github.com/huggingface/lerobot"
 readme = "README.md"
-license = "MIT"
+license = "Apache-2.0"
 classifiers=[
     "Development Status :: 3 - Alpha",
     "Intended Audience :: Developers",
+    "Intended Audience :: Education",
+    "Intended Audience :: Science/Research",
     "Topic :: Software Development :: Build Tools",
-    "License :: OSI Approved :: MIT License",
+    "Topic :: Scientific/Engineering :: Artificial Intelligence",
+    "License :: OSI Approved :: Apache Software License",
     "Programming Language :: Python :: 3.10",
 ]
 packages = [{include = "lerobot"}]
@@ -23,52 +29,38 @@ packages = [{include = "lerobot"}]
 python = "^3.10"
 termcolor = "^2.4.0"
 omegaconf = "^2.3.0"
-pandas = "^2.2.1"
 wandb = "^0.16.3"
-moviepy = "^1.0.3"
-imageio = {extras = ["pyav"], version = "^2.34.0"}
+imageio = {extras = ["ffmpeg"], version = "^2.34.0"}
 gdown = "^5.1.0"
 hydra-core = "^1.3.2"
 einops = "^0.7.0"
-pygame = "^2.5.2"
 pymunk = "^6.6.0"
 zarr = "^2.17.0"
 numba = "^0.59.0"
-mpmath = "^1.3.0"
 torch = "^2.2.1"
 opencv-python = "^4.9.0.80"
 diffusers = "^0.26.3"
 torchvision = "^0.17.1"
 h5py = "^3.10.0"
-huggingface-hub = {extras = ["hf-transfer"], version = "^0.21.4"}
+huggingface-hub = "^0.21.4"
 robomimic = "0.2.0"
 gymnasium = "^0.29.1"
 cmake = "^3.29.0.1"
 gym-pusht = { git = "git@github.com:huggingface/gym-pusht.git", optional = true}
 gym-xarm = { git = "git@github.com:huggingface/gym-xarm.git", optional = true}
 gym-aloha = { git = "git@github.com:huggingface/gym-aloha.git", optional = true}
-# gym-pusht = { path = "../gym-pusht", develop = true, optional = true}
-# gym-xarm = { path = "../gym-xarm", develop = true, optional = true}
-# gym-aloha = { path = "../gym-aloha", develop = true, optional = true}
+pre-commit = {version = "^3.7.0", optional = true}
+debugpy = {version = "^1.8.1", optional = true}
+pytest = {version = "^8.1.0", optional = true}
+pytest-cov = {version = "^5.0.0", optional = true}
+datasets = "^2.18.0"
 
 [tool.poetry.extras]
 pusht = ["gym-pusht"]
 xarm = ["gym-xarm"]
 aloha = ["gym-aloha"]
-
-
-[tool.poetry.group.dev]
-optional = true
-
-
-[tool.poetry.group.dev.dependencies]
-pre-commit = "^3.6.2"
-debugpy = "^1.8.1"
-
-
-[tool.poetry.group.test.dependencies]
-pytest = "^8.1.0"
-pytest-cov = "^5.0.0"
+dev = ["pre-commit", "debugpy"]
+test = ["pytest", "pytest-cov"]
 
 
 [tool.ruff]
@@ -103,13 +95,7 @@ exclude = [
 select = ["E4", "E7", "E9", "F", "I", "N", "B", "C4", "SIM"]
 ignore-init-module-imports = true
 
-[tool.poetry-dynamic-versioning]
-enable = true
-
 
 [build-system]
-requires = ["poetry-core>=1.0.0", "poetry-dynamic-versioning>=1.0.0,<2.0.0"]
-build-backend = "poetry_dynamic_versioning.backend"
-
-[tool.black]
-line-length = 110
+requires = ["poetry-core>=1.5.0"]
+build-backend = "poetry.core.masonry.api"
diff --git a/tests/data/aloha_sim_insertion_human/data_dict.pth b/tests/data/aloha_sim_insertion_human/data_dict.pth
deleted file mode 100644
index 1370c9ea..00000000
Binary files a/tests/data/aloha_sim_insertion_human/data_dict.pth and /dev/null differ
diff --git a/tests/data/aloha_sim_insertion_human/data_ids_per_episode.pth b/tests/data/aloha_sim_insertion_human/data_ids_per_episode.pth
deleted file mode 100644
index a1d481dd..00000000
Binary files a/tests/data/aloha_sim_insertion_human/data_ids_per_episode.pth and /dev/null differ
diff --git a/tests/data/aloha_sim_insertion_human/train/data-00000-of-00001.arrow b/tests/data/aloha_sim_insertion_human/train/data-00000-of-00001.arrow
new file mode 100644
index 00000000..165298cf
Binary files /dev/null and b/tests/data/aloha_sim_insertion_human/train/data-00000-of-00001.arrow differ
diff --git a/tests/data/aloha_sim_insertion_human/train/dataset_info.json b/tests/data/aloha_sim_insertion_human/train/dataset_info.json
new file mode 100644
index 00000000..542c7bf1
--- /dev/null
+++ b/tests/data/aloha_sim_insertion_human/train/dataset_info.json
@@ -0,0 +1,55 @@
+{
+  "citation": "",
+  "description": "",
+  "features": {
+    "observation.images.top": {
+      "_type": "Image"
+    },
+    "observation.state": {
+      "feature": {
+        "dtype": "float32",
+        "_type": "Value"
+      },
+      "length": 14,
+      "_type": "Sequence"
+    },
+    "action": {
+      "feature": {
+        "dtype": "float32",
+        "_type": "Value"
+      },
+      "length": 14,
+      "_type": "Sequence"
+    },
+    "episode_id": {
+      "dtype": "int64",
+      "_type": "Value"
+    },
+    "frame_id": {
+      "dtype": "int64",
+      "_type": "Value"
+    },
+    "timestamp": {
+      "dtype": "float32",
+      "_type": "Value"
+    },
+    "next.done": {
+      "dtype": "bool",
+      "_type": "Value"
+    },
+    "episode_data_index_from": {
+      "dtype": "int64",
+      "_type": "Value"
+    },
+    "episode_data_index_to": {
+      "dtype": "int64",
+      "_type": "Value"
+    },
+    "index": {
+      "dtype": "int64",
+      "_type": "Value"
+    }
+  },
+  "homepage": "",
+  "license": ""
+}
\ No newline at end of file
diff --git a/tests/data/aloha_sim_insertion_human/train/state.json b/tests/data/aloha_sim_insertion_human/train/state.json
new file mode 100644
index 00000000..39101fd5
--- /dev/null
+++ b/tests/data/aloha_sim_insertion_human/train/state.json
@@ -0,0 +1,13 @@
+{
+  "_data_files": [
+    {
+      "filename": "data-00000-of-00001.arrow"
+    }
+  ],
+  "_fingerprint": "d79cf82ffc86f110",
+  "_format_columns": null,
+  "_format_kwargs": {},
+  "_format_type": "torch",
+  "_output_all_columns": false,
+  "_split": null
+}
\ No newline at end of file
diff --git a/tests/data/aloha_sim_insertion_scripted/data_dict.pth b/tests/data/aloha_sim_insertion_scripted/data_dict.pth
deleted file mode 100644
index 00c9f335..00000000
Binary files a/tests/data/aloha_sim_insertion_scripted/data_dict.pth and /dev/null differ
diff --git a/tests/data/aloha_sim_insertion_scripted/data_ids_per_episode.pth b/tests/data/aloha_sim_insertion_scripted/data_ids_per_episode.pth
deleted file mode 100644
index a1d481dd..00000000
Binary files a/tests/data/aloha_sim_insertion_scripted/data_ids_per_episode.pth and /dev/null differ
diff --git a/tests/data/aloha_sim_insertion_scripted/train/data-00000-of-00001.arrow b/tests/data/aloha_sim_insertion_scripted/train/data-00000-of-00001.arrow
new file mode 100644
index 00000000..034f759f
Binary files /dev/null and b/tests/data/aloha_sim_insertion_scripted/train/data-00000-of-00001.arrow differ
diff --git a/tests/data/aloha_sim_insertion_scripted/train/dataset_info.json b/tests/data/aloha_sim_insertion_scripted/train/dataset_info.json
new file mode 100644
index 00000000..542c7bf1
--- /dev/null
+++ b/tests/data/aloha_sim_insertion_scripted/train/dataset_info.json
@@ -0,0 +1,55 @@
+{
+  "citation": "",
+  "description": "",
+  "features": {
+    "observation.images.top": {
+      "_type": "Image"
+    },
+    "observation.state": {
+      "feature": {
+        "dtype": "float32",
+        "_type": "Value"
+      },
+      "length": 14,
+      "_type": "Sequence"
+    },
+    "action": {
+      "feature": {
+        "dtype": "float32",
+        "_type": "Value"
+      },
+      "length": 14,
+      "_type": "Sequence"
+    },
+    "episode_id": {
+      "dtype": "int64",
+      "_type": "Value"
+    },
+    "frame_id": {
+      "dtype": "int64",
+      "_type": "Value"
+    },
+    "timestamp": {
+      "dtype": "float32",
+      "_type": "Value"
+    },
+    "next.done": {
+      "dtype": "bool",
+      "_type": "Value"
+    },
+    "episode_data_index_from": {
+      "dtype": "int64",
+      "_type": "Value"
+    },
+    "episode_data_index_to": {
+      "dtype": "int64",
+      "_type": "Value"
+    },
+    "index": {
+      "dtype": "int64",
+      "_type": "Value"
+    }
+  },
+  "homepage": "",
+  "license": ""
+}
\ No newline at end of file
diff --git a/tests/data/aloha_sim_insertion_scripted/train/state.json b/tests/data/aloha_sim_insertion_scripted/train/state.json
new file mode 100644
index 00000000..ecaa8fd8
--- /dev/null
+++ b/tests/data/aloha_sim_insertion_scripted/train/state.json
@@ -0,0 +1,13 @@
+{
+  "_data_files": [
+    {
+      "filename": "data-00000-of-00001.arrow"
+    }
+  ],
+  "_fingerprint": "d8e4a817b5449498",
+  "_format_columns": null,
+  "_format_kwargs": {},
+  "_format_type": "torch",
+  "_output_all_columns": false,
+  "_split": null
+}
\ No newline at end of file
diff --git a/tests/data/aloha_sim_transfer_cube_human/data_dict.pth b/tests/data/aloha_sim_transfer_cube_human/data_dict.pth
deleted file mode 100644
index ab851779..00000000
Binary files a/tests/data/aloha_sim_transfer_cube_human/data_dict.pth and /dev/null differ
diff --git a/tests/data/aloha_sim_transfer_cube_human/data_ids_per_episode.pth b/tests/data/aloha_sim_transfer_cube_human/data_ids_per_episode.pth
deleted file mode 100644
index a1d481dd..00000000
Binary files a/tests/data/aloha_sim_transfer_cube_human/data_ids_per_episode.pth and /dev/null differ
diff --git a/tests/data/aloha_sim_transfer_cube_human/train/data-00000-of-00001.arrow b/tests/data/aloha_sim_transfer_cube_human/train/data-00000-of-00001.arrow
new file mode 100644
index 00000000..9682f005
Binary files /dev/null and b/tests/data/aloha_sim_transfer_cube_human/train/data-00000-of-00001.arrow differ
diff --git a/tests/data/aloha_sim_transfer_cube_human/train/dataset_info.json b/tests/data/aloha_sim_transfer_cube_human/train/dataset_info.json
new file mode 100644
index 00000000..542c7bf1
--- /dev/null
+++ b/tests/data/aloha_sim_transfer_cube_human/train/dataset_info.json
@@ -0,0 +1,55 @@
+{
+  "citation": "",
+  "description": "",
+  "features": {
+    "observation.images.top": {
+      "_type": "Image"
+    },
+    "observation.state": {
+      "feature": {
+        "dtype": "float32",
+        "_type": "Value"
+      },
+      "length": 14,
+      "_type": "Sequence"
+    },
+    "action": {
+      "feature": {
+        "dtype": "float32",
+        "_type": "Value"
+      },
+      "length": 14,
+      "_type": "Sequence"
+    },
+    "episode_id": {
+      "dtype": "int64",
+      "_type": "Value"
+    },
+    "frame_id": {
+      "dtype": "int64",
+      "_type": "Value"
+    },
+    "timestamp": {
+      "dtype": "float32",
+      "_type": "Value"
+    },
+    "next.done": {
+      "dtype": "bool",
+      "_type": "Value"
+    },
+    "episode_data_index_from": {
+      "dtype": "int64",
+      "_type": "Value"
+    },
+    "episode_data_index_to": {
+      "dtype": "int64",
+      "_type": "Value"
+    },
+    "index": {
+      "dtype": "int64",
+      "_type": "Value"
+    }
+  },
+  "homepage": "",
+  "license": ""
+}
\ No newline at end of file
diff --git a/tests/data/aloha_sim_transfer_cube_human/train/state.json b/tests/data/aloha_sim_transfer_cube_human/train/state.json
new file mode 100644
index 00000000..0167986b
--- /dev/null
+++ b/tests/data/aloha_sim_transfer_cube_human/train/state.json
@@ -0,0 +1,13 @@
+{
+  "_data_files": [
+    {
+      "filename": "data-00000-of-00001.arrow"
+    }
+  ],
+  "_fingerprint": "f03482befa767127",
+  "_format_columns": null,
+  "_format_kwargs": {},
+  "_format_type": "torch",
+  "_output_all_columns": false,
+  "_split": null
+}
\ No newline at end of file
diff --git a/tests/data/aloha_sim_transfer_cube_scripted/data_dict.pth b/tests/data/aloha_sim_transfer_cube_scripted/data_dict.pth
deleted file mode 100644
index bd308bb0..00000000
Binary files a/tests/data/aloha_sim_transfer_cube_scripted/data_dict.pth and /dev/null differ
diff --git a/tests/data/aloha_sim_transfer_cube_scripted/data_ids_per_episode.pth b/tests/data/aloha_sim_transfer_cube_scripted/data_ids_per_episode.pth
deleted file mode 100644
index a1d481dd..00000000
Binary files a/tests/data/aloha_sim_transfer_cube_scripted/data_ids_per_episode.pth and /dev/null differ
diff --git a/tests/data/aloha_sim_transfer_cube_scripted/train/data-00000-of-00001.arrow b/tests/data/aloha_sim_transfer_cube_scripted/train/data-00000-of-00001.arrow
new file mode 100644
index 00000000..567191d5
Binary files /dev/null and b/tests/data/aloha_sim_transfer_cube_scripted/train/data-00000-of-00001.arrow differ
diff --git a/tests/data/aloha_sim_transfer_cube_scripted/train/dataset_info.json b/tests/data/aloha_sim_transfer_cube_scripted/train/dataset_info.json
new file mode 100644
index 00000000..542c7bf1
--- /dev/null
+++ b/tests/data/aloha_sim_transfer_cube_scripted/train/dataset_info.json
@@ -0,0 +1,55 @@
+{
+  "citation": "",
+  "description": "",
+  "features": {
+    "observation.images.top": {
+      "_type": "Image"
+    },
+    "observation.state": {
+      "feature": {
+        "dtype": "float32",
+        "_type": "Value"
+      },
+      "length": 14,
+      "_type": "Sequence"
+    },
+    "action": {
+      "feature": {
+        "dtype": "float32",
+        "_type": "Value"
+      },
+      "length": 14,
+      "_type": "Sequence"
+    },
+    "episode_id": {
+      "dtype": "int64",
+      "_type": "Value"
+    },
+    "frame_id": {
+      "dtype": "int64",
+      "_type": "Value"
+    },
+    "timestamp": {
+      "dtype": "float32",
+      "_type": "Value"
+    },
+    "next.done": {
+      "dtype": "bool",
+      "_type": "Value"
+    },
+    "episode_data_index_from": {
+      "dtype": "int64",
+      "_type": "Value"
+    },
+    "episode_data_index_to": {
+      "dtype": "int64",
+      "_type": "Value"
+    },
+    "index": {
+      "dtype": "int64",
+      "_type": "Value"
+    }
+  },
+  "homepage": "",
+  "license": ""
+}
\ No newline at end of file
diff --git a/tests/data/aloha_sim_transfer_cube_scripted/train/state.json b/tests/data/aloha_sim_transfer_cube_scripted/train/state.json
new file mode 100644
index 00000000..56005bc9
--- /dev/null
+++ b/tests/data/aloha_sim_transfer_cube_scripted/train/state.json
@@ -0,0 +1,13 @@
+{
+  "_data_files": [
+    {
+      "filename": "data-00000-of-00001.arrow"
+    }
+  ],
+  "_fingerprint": "93e03c6320c7d56e",
+  "_format_columns": null,
+  "_format_kwargs": {},
+  "_format_type": "torch",
+  "_output_all_columns": false,
+  "_split": null
+}
\ No newline at end of file
diff --git a/tests/data/pusht/data_dict.pth b/tests/data/pusht/data_dict.pth
deleted file mode 100644
index a083c86c..00000000
Binary files a/tests/data/pusht/data_dict.pth and /dev/null differ
diff --git a/tests/data/pusht/data_ids_per_episode.pth b/tests/data/pusht/data_ids_per_episode.pth
deleted file mode 100644
index a1d481dd..00000000
Binary files a/tests/data/pusht/data_ids_per_episode.pth and /dev/null differ
diff --git a/tests/data/pusht/train/data-00000-of-00001.arrow b/tests/data/pusht/train/data-00000-of-00001.arrow
new file mode 100644
index 00000000..9a36a8db
Binary files /dev/null and b/tests/data/pusht/train/data-00000-of-00001.arrow differ
diff --git a/tests/data/pusht/train/dataset_info.json b/tests/data/pusht/train/dataset_info.json
new file mode 100644
index 00000000..667e06f7
--- /dev/null
+++ b/tests/data/pusht/train/dataset_info.json
@@ -0,0 +1,63 @@
+{
+  "citation": "",
+  "description": "",
+  "features": {
+    "observation.image": {
+      "_type": "Image"
+    },
+    "observation.state": {
+      "feature": {
+        "dtype": "float32",
+        "_type": "Value"
+      },
+      "length": 2,
+      "_type": "Sequence"
+    },
+    "action": {
+      "feature": {
+        "dtype": "float32",
+        "_type": "Value"
+      },
+      "length": 2,
+      "_type": "Sequence"
+    },
+    "episode_id": {
+      "dtype": "int64",
+      "_type": "Value"
+    },
+    "frame_id": {
+      "dtype": "int64",
+      "_type": "Value"
+    },
+    "timestamp": {
+      "dtype": "float32",
+      "_type": "Value"
+    },
+    "next.reward": {
+      "dtype": "float32",
+      "_type": "Value"
+    },
+    "next.done": {
+      "dtype": "bool",
+      "_type": "Value"
+    },
+    "next.success": {
+      "dtype": "bool",
+      "_type": "Value"
+    },
+    "episode_data_index_from": {
+      "dtype": "int64",
+      "_type": "Value"
+    },
+    "episode_data_index_to": {
+      "dtype": "int64",
+      "_type": "Value"
+    },
+    "index": {
+      "dtype": "int64",
+      "_type": "Value"
+    }
+  },
+  "homepage": "",
+  "license": ""
+}
\ No newline at end of file
diff --git a/tests/data/pusht/train/state.json b/tests/data/pusht/train/state.json
new file mode 100644
index 00000000..7e0ff574
--- /dev/null
+++ b/tests/data/pusht/train/state.json
@@ -0,0 +1,13 @@
+{
+  "_data_files": [
+    {
+      "filename": "data-00000-of-00001.arrow"
+    }
+  ],
+  "_fingerprint": "21bb9a76ed78a475",
+  "_format_columns": null,
+  "_format_kwargs": {},
+  "_format_type": "torch",
+  "_output_all_columns": false,
+  "_split": null
+}
\ No newline at end of file
diff --git a/tests/data/xarm_lift_medium/data_dict.pth b/tests/data/xarm_lift_medium/data_dict.pth
deleted file mode 100644
index 5c166576..00000000
Binary files a/tests/data/xarm_lift_medium/data_dict.pth and /dev/null differ
diff --git a/tests/data/xarm_lift_medium/data_ids_per_episode.pth b/tests/data/xarm_lift_medium/data_ids_per_episode.pth
deleted file mode 100644
index 21095017..00000000
Binary files a/tests/data/xarm_lift_medium/data_ids_per_episode.pth and /dev/null differ
diff --git a/tests/data/xarm_lift_medium/train/data-00000-of-00001.arrow b/tests/data/xarm_lift_medium/train/data-00000-of-00001.arrow
new file mode 100644
index 00000000..45d527e0
Binary files /dev/null and b/tests/data/xarm_lift_medium/train/data-00000-of-00001.arrow differ
diff --git a/tests/data/xarm_lift_medium/train/dataset_info.json b/tests/data/xarm_lift_medium/train/dataset_info.json
new file mode 100644
index 00000000..bb647c41
--- /dev/null
+++ b/tests/data/xarm_lift_medium/train/dataset_info.json
@@ -0,0 +1,59 @@
+{
+  "citation": "",
+  "description": "",
+  "features": {
+    "observation.image": {
+      "_type": "Image"
+    },
+    "observation.state": {
+      "feature": {
+        "dtype": "float32",
+        "_type": "Value"
+      },
+      "length": 4,
+      "_type": "Sequence"
+    },
+    "action": {
+      "feature": {
+        "dtype": "float32",
+        "_type": "Value"
+      },
+      "length": 4,
+      "_type": "Sequence"
+    },
+    "episode_id": {
+      "dtype": "int64",
+      "_type": "Value"
+    },
+    "frame_id": {
+      "dtype": "int64",
+      "_type": "Value"
+    },
+    "timestamp": {
+      "dtype": "float32",
+      "_type": "Value"
+    },
+    "next.reward": {
+      "dtype": "float32",
+      "_type": "Value"
+    },
+    "next.done": {
+      "dtype": "bool",
+      "_type": "Value"
+    },
+    "episode_data_index_from": {
+      "dtype": "int64",
+      "_type": "Value"
+    },
+    "episode_data_index_to": {
+      "dtype": "int64",
+      "_type": "Value"
+    },
+    "index": {
+      "dtype": "int64",
+      "_type": "Value"
+    }
+  },
+  "homepage": "",
+  "license": ""
+}
\ No newline at end of file
diff --git a/tests/data/xarm_lift_medium/train/state.json b/tests/data/xarm_lift_medium/train/state.json
new file mode 100644
index 00000000..c930c52c
--- /dev/null
+++ b/tests/data/xarm_lift_medium/train/state.json
@@ -0,0 +1,13 @@
+{
+  "_data_files": [
+    {
+      "filename": "data-00000-of-00001.arrow"
+    }
+  ],
+  "_fingerprint": "a95cbec45e3bb9d6",
+  "_format_columns": null,
+  "_format_kwargs": {},
+  "_format_type": "torch",
+  "_output_all_columns": false,
+  "_split": null
+}
\ No newline at end of file
diff --git a/tests/test_datasets.py b/tests/test_datasets.py
index 71eefa9c..18d1e9d7 100644
--- a/tests/test_datasets.py
+++ b/tests/test_datasets.py
@@ -4,13 +4,12 @@ import einops
 import pytest
 import torch
 
-from lerobot.common.datasets.utils import compute_stats, get_stats_einops_patterns, load_data_with_delta_timestamps
-from lerobot.common.datasets.xarm import XarmDataset
+from lerobot.common.datasets.utils import compute_stats, get_stats_einops_patterns, load_previous_and_future_frames
 from lerobot.common.transforms import Prod
 from lerobot.common.utils import init_hydra_config
 import logging
 from lerobot.common.datasets.factory import make_dataset
-
+from datasets import Dataset
 from .utils import DEVICE, DEFAULT_CONFIG_PATH
 
 
@@ -38,7 +37,7 @@ def test_factory(env_name, dataset_id, policy_name):
 
     keys_ndim_required = [
         ("action", 1, True),
-        ("episode", 0, True),
+        ("episode_id", 0, True),
         ("frame_id", 0, True),
         ("timestamp", 0, True),
         # TODO(rcadene): should we rename it agent_pos?
@@ -94,6 +93,8 @@ def test_compute_stats():
     We compare with taking a straight min, mean, max, std of all the data in one pass (which we can do
     because we are working with a small dataset).
     """
+    from lerobot.common.datasets.xarm import XarmDataset
+
     DATA_DIR = Path(os.environ["DATA_DIR"]) if "DATA_DIR" in os.environ else None
 
     # get transform to convert images from uint8 [0,255] to float32 [0,1]
@@ -114,7 +115,13 @@ def test_compute_stats():
     stats_patterns = get_stats_einops_patterns(dataset)
 
     # get all frames from the dataset in the same dtype and range as during compute_stats
-    data_dict = transform(dataset.data_dict)
+    dataloader = torch.utils.data.DataLoader(
+        dataset,
+        num_workers=8,
+        batch_size=len(dataset),
+        shuffle=False,
+    )
+    data_dict = next(iter(dataloader))
 
     # compute stats based on all frames from the dataset without any batching
     expected_stats = {}
@@ -145,47 +152,50 @@ def test_compute_stats():
     #     assert torch.allclose(loaded_stats[k]["max"], expected_stats[k]["max"])
 
 
-def test_load_data_with_delta_timestamps_within_tolerance():
-    data_dict = {
-        "timestamp": torch.tensor([0.1, 0.2, 0.3, 0.4, 0.5]),
-        "index": torch.tensor([0, 1, 2, 3, 4]),
-    }
-    data_ids_per_episode = {0: torch.tensor([0, 1, 2, 3, 4])}
+def test_load_previous_and_future_frames_within_tolerance():
+    data_dict = Dataset.from_dict({
+        "timestamp": [0.1, 0.2, 0.3, 0.4, 0.5],
+        "index": [0, 1, 2, 3, 4],
+        "episode_data_index_from": [0, 0, 0, 0, 0],
+        "episode_data_index_to": [5, 5, 5, 5, 5],
+    })
+    data_dict = data_dict.with_format("torch")
+    item = data_dict[2]
     delta_timestamps = {"index": [-0.2, 0, 0.139]}
-    key = "index"
-    current_ts = 0.3
-    episode = 0
     tol = 0.04
-    data, is_pad = load_data_with_delta_timestamps(data_dict, data_ids_per_episode, delta_timestamps, key, current_ts, episode, tol)
-    assert not is_pad.any(), "Unexpected padding detected"
+    item = load_previous_and_future_frames(item, data_dict, delta_timestamps, tol)
+    data, is_pad = item["index"], item["index_is_pad"]
     assert torch.equal(data, torch.tensor([0, 2, 3])), "Data does not match expected values"
+    assert not is_pad.any(), "Unexpected padding detected"
 
-def test_load_data_with_delta_timestamps_outside_tolerance_inside_episode_range():
-    data_dict = {
-        "timestamp": torch.tensor([0.1, 0.2, 0.3, 0.4, 0.5]),
-        "index": torch.tensor([0, 1, 2, 3, 4]),
-    }
-    data_ids_per_episode = {0: torch.tensor([0, 1, 2, 3, 4])}
+def test_load_previous_and_future_frames_outside_tolerance_inside_episode_range():
+    data_dict = Dataset.from_dict({
+        "timestamp": [0.1, 0.2, 0.3, 0.4, 0.5],
+        "index": [0, 1, 2, 3, 4],
+        "episode_data_index_from": [0, 0, 0, 0, 0],
+        "episode_data_index_to": [5, 5, 5, 5, 5],
+    })
+    data_dict = data_dict.with_format("torch")
+    item = data_dict[2]
     delta_timestamps = {"index": [-0.2, 0, 0.141]}
-    key = "index"
-    current_ts = 0.3
-    episode = 0
     tol = 0.04
     with pytest.raises(AssertionError):
-        load_data_with_delta_timestamps(data_dict, data_ids_per_episode, delta_timestamps, key, current_ts, episode, tol)
+        load_previous_and_future_frames(item, data_dict, delta_timestamps, tol)
 
-def test_load_data_with_delta_timestamps_outside_tolerance_outside_episode_range():
-    data_dict = {
-        "timestamp": torch.tensor([0.1, 0.2, 0.3, 0.4, 0.5]),
-        "index": torch.tensor([0, 1, 2, 3, 4]),
-    }
-    data_ids_per_episode = {0: torch.tensor([0, 1, 2, 3, 4])}
+def test_load_previous_and_future_frames_outside_tolerance_outside_episode_range():
+    data_dict = Dataset.from_dict({
+        "timestamp": [0.1, 0.2, 0.3, 0.4, 0.5],
+        "index": [0, 1, 2, 3, 4],
+        "episode_data_index_from": [0, 0, 0, 0, 0],
+        "episode_data_index_to": [5, 5, 5, 5, 5],
+    })
+    data_dict = data_dict.with_format("torch")
+    item = data_dict[2]
     delta_timestamps = {"index": [-0.3, -0.24, 0, 0.26, 0.3]}
-    key = "index"
-    current_ts = 0.3
-    episode = 0
     tol = 0.04
-    data, is_pad = load_data_with_delta_timestamps(data_dict, data_ids_per_episode, delta_timestamps, key, current_ts, episode, tol)
-    assert torch.equal(is_pad, torch.tensor([True, False, False, True, True])), "Padding does not match expected values"
+    item = load_previous_and_future_frames(item, data_dict, delta_timestamps, tol)
+    data, is_pad = item["index"], item["index_is_pad"]
     assert torch.equal(data, torch.tensor([0, 0, 2, 4, 4])), "Data does not match expected values"
+    assert torch.equal(is_pad, torch.tensor([True, False, False, True, True])), "Padding does not match expected values"
+