2024-03-11 21:34:04 +08:00
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# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
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2024-02-29 02:11:29 +08:00
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[[package]]
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name = "absl-py"
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version = "2.1.0"
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description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py."
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optional = false
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python-versions = ">=3.7"
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files = [
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{file = "absl-py-2.1.0.tar.gz", hash = "sha256:7820790efbb316739cde8b4e19357243fc3608a152024288513dd968d7d959ff"},
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]
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[[package]]
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name = "antlr4-python3-runtime"
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version = "4.9.3"
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description = "ANTLR 4.9.3 runtime for Python 3.7"
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optional = false
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python-versions = "*"
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files = [
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{file = "antlr4-python3-runtime-4.9.3.tar.gz", hash = "sha256:f224469b4168294902bb1efa80a8bf7855f24c99aef99cbefc1bcd3cce77881b"},
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]
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[[package]]
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name = "appdirs"
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version = "1.4.4"
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description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
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optional = false
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python-versions = "*"
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files = [
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{file = "appdirs-1.4.4-py2.py3-none-any.whl", hash = "sha256:a841dacd6b99318a741b166adb07e19ee71a274450e68237b4650ca1055ab128"},
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]
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[[package]]
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name = "asciitree"
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version = "0.3.3"
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description = "Draws ASCII trees."
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optional = false
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python-versions = "*"
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files = [
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{file = "asciitree-0.3.3.tar.gz", hash = "sha256:4aa4b9b649f85e3fcb343363d97564aa1fb62e249677f2e18a96765145cc0f6e"},
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]
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[[package]]
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name = "av"
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2024-03-21 19:42:45 +08:00
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version = "12.0.0"
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2024-02-29 02:11:29 +08:00
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description = "Pythonic bindings for FFmpeg's libraries."
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optional = false
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python-versions = ">=3.8"
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files = [
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2024-03-21 19:42:45 +08:00
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{file = "av-12.0.0-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:013b3ac3de3aa1c137af0cedafd364fd1c7524ab3e1cd53e04564fd1632ac04d"},
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{file = "av-12.0.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0fa55923527648f51ac005e44fe2797ebc67f53ad4850e0194d3753761ee33a2"},
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{file = "av-12.0.0.tar.gz", hash = "sha256:bcf21ebb722d4538b4099e5a78f730d78814dd70003511c185941dba5651b14d"},
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2024-02-29 02:11:29 +08:00
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]
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[[package]]
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name = "beautifulsoup4"
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version = "4.12.3"
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description = "Screen-scraping library"
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optional = false
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python-versions = ">=3.6.0"
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files = [
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{file = "beautifulsoup4-4.12.3-py3-none-any.whl", hash = "sha256:b80878c9f40111313e55da8ba20bdba06d8fa3969fc68304167741bbf9e082ed"},
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{file = "beautifulsoup4-4.12.3.tar.gz", hash = "sha256:74e3d1928edc070d21748185c46e3fb33490f22f52a3addee9aee0f4f7781051"},
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]
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[package.dependencies]
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soupsieve = ">1.2"
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[package.extras]
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cchardet = ["cchardet"]
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chardet = ["chardet"]
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charset-normalizer = ["charset-normalizer"]
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html5lib = ["html5lib"]
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lxml = ["lxml"]
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[[package]]
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name = "certifi"
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version = "2024.2.2"
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description = "Python package for providing Mozilla's CA Bundle."
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optional = false
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python-versions = ">=3.6"
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files = [
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{file = "certifi-2024.2.2-py3-none-any.whl", hash = "sha256:dc383c07b76109f368f6106eee2b593b04a011ea4d55f652c6ca24a754d1cdd1"},
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{file = "certifi-2024.2.2.tar.gz", hash = "sha256:0569859f95fc761b18b45ef421b1290a0f65f147e92a1e5eb3e635f9a5e4e66f"},
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]
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[[package]]
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name = "cffi"
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version = "1.16.0"
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description = "Foreign Function Interface for Python calling C code."
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optional = false
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python-versions = ">=3.8"
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files = [
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{file = "cffi-1.16.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:6b3d6606d369fc1da4fd8c357d026317fbb9c9b75d36dc16e90e84c26854b088"},
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{file = "cffi-1.16.0-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7e61e3e4fa664a8588aa25c883eab612a188c725755afff6289454d6362b9673"},
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{file = "cffi-1.16.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e4108df7fe9b707191e55f33efbcb2d81928e10cea45527879a4749cbe472614"},
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{file = "cffi-1.16.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:fcc8eb6d5902bb1cf6dc4f187ee3ea80a1eba0a89aba40a5cb20a5087d961357"},
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{file = "cffi-1.16.0-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a09582f178759ee8128d9270cd1344154fd473bb77d94ce0aeb2a93ebf0feaf0"},
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{file = "cffi-1.16.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e760191dd42581e023a68b758769e2da259b5d52e3103c6060ddc02c9edb8d7b"},
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{file = "cffi-1.16.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:80876338e19c951fdfed6198e70bc88f1c9758b94578d5a7c4c91a87af3cf31c"},
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{file = "cffi-1.16.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a6a14b17d7e17fa0d207ac08642c8820f84f25ce17a442fd15e27ea18d67c59b"},
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{file = "cffi-1.16.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6602bc8dc6f3a9e02b6c22c4fc1e47aa50f8f8e6d3f78a5e16ac33ef5fefa324"},
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{file = "cffi-1.16.0-cp38-cp38-win32.whl", hash = "sha256:131fd094d1065b19540c3d72594260f118b231090295d8c34e19a7bbcf2e860a"},
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{file = "cffi-1.16.0-cp38-cp38-win_amd64.whl", hash = "sha256:31d13b0f99e0836b7ff893d37af07366ebc90b678b6664c955b54561fc36ef36"},
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{file = "cffi-1.16.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:582215a0e9adbe0e379761260553ba11c58943e4bbe9c36430c4ca6ac74b15ed"},
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{file = "cffi-1.16.0-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:dc9b18bf40cc75f66f40a7379f6a9513244fe33c0e8aa72e2d56b0196a7ef872"},
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{file = "cffi-1.16.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9cb4a35b3642fc5c005a6755a5d17c6c8b6bcb6981baf81cea8bfbc8903e8ba8"},
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{file = "cffi-1.16.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b86851a328eedc692acf81fb05444bdf1891747c25af7529e39ddafaf68a4f3f"},
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{file = "cffi-1.16.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c0f31130ebc2d37cdd8e44605fb5fa7ad59049298b3f745c74fa74c62fbfcfc4"},
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{file = "cffi-1.16.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8f8e709127c6c77446a8c0a8c8bf3c8ee706a06cd44b1e827c3e6a2ee6b8c098"},
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{file = "cffi-1.16.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:748dcd1e3d3d7cd5443ef03ce8685043294ad6bd7c02a38d1bd367cfd968e000"},
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{file = "cffi-1.16.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:8895613bcc094d4a1b2dbe179d88d7fb4a15cee43c052e8885783fac397d91fe"},
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{file = "cffi-1.16.0-cp39-cp39-win32.whl", hash = "sha256:ed86a35631f7bfbb28e108dd96773b9d5a6ce4811cf6ea468bb6a359b256b1e4"},
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{file = "cffi-1.16.0-cp39-cp39-win_amd64.whl", hash = "sha256:3686dffb02459559c74dd3d81748269ffb0eb027c39a6fc99502de37d501faa8"},
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{file = "cffi-1.16.0.tar.gz", hash = "sha256:bcb3ef43e58665bbda2fb198698fcae6776483e0c4a631aa5647806c25e02cc0"},
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]
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|
|
|
|
|
|
|
|
|
[package.dependencies]
|
|
|
|
|
pycparser = "*"
|
|
|
|
|
|
2024-02-29 19:26:35 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "cfgv"
|
|
|
|
|
version = "3.4.0"
|
|
|
|
|
description = "Validate configuration and produce human readable error messages."
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.8"
|
|
|
|
|
files = [
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|
|
|
|
{file = "cfgv-3.4.0-py2.py3-none-any.whl", hash = "sha256:b7265b1f29fd3316bfcd2b330d63d024f2bfd8bcb8b0272f8e19a504856c48f9"},
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{file = "cfgv-3.4.0.tar.gz", hash = "sha256:e52591d4c5f5dead8e0f673fb16db7949d2cfb3f7da4582893288f0ded8fe560"},
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|
]
|
|
|
|
|
|
2024-02-29 02:11:29 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "charset-normalizer"
|
|
|
|
|
version = "3.3.2"
|
|
|
|
|
description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.7.0"
|
|
|
|
|
files = [
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{file = "charset-normalizer-3.3.2.tar.gz", hash = "sha256:f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5"},
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{file = "charset_normalizer-3.3.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:25baf083bf6f6b341f4121c2f3c548875ee6f5339300e08be3f2b2ba1721cdd3"},
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{file = "charset_normalizer-3.3.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027"},
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{file = "charset_normalizer-3.3.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9063e24fdb1e498ab71cb7419e24622516c4a04476b17a2dab57e8baa30d6e03"},
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{file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6897af51655e3691ff853668779c7bad41579facacf5fd7253b0133308cf000d"},
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{file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1d3193f4a680c64b4b6a9115943538edb896edc190f0b222e73761716519268e"},
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{file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8465322196c8b4d7ab6d1e049e4c5cb460d0394da4a27d23cc242fbf0034b6b5"},
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{file = "charset_normalizer-3.3.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a9a8e9031d613fd2009c182b69c7b2c1ef8239a0efb1df3f7c8da66d5dd3d537"},
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{file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:e06ed3eb3218bc64786f7db41917d4e686cc4856944f53d5bdf83a6884432e12"},
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{file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:2e81c7b9c8979ce92ed306c249d46894776a909505d8f5a4ba55b14206e3222f"},
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{file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:572c3763a264ba47b3cf708a44ce965d98555f618ca42c926a9c1616d8f34269"},
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{file = "charset_normalizer-3.3.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:fd1abc0d89e30cc4e02e4064dc67fcc51bd941eb395c502aac3ec19fab46b519"},
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{file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f27273b60488abe721a075bcca6d7f3964f9f6f067c8c4c605743023d7d3944f"},
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{file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:65f6f63034100ead094b8744b3b97965785388f308a64cf8d7c34f2f2e5be0c4"},
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{file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:753f10e867343b4511128c6ed8c82f7bec3bd026875576dfd88483c5c73b2fd8"},
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{file = "charset_normalizer-3.3.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4a78b2b446bd7c934f5dcedc588903fb2f5eec172f3d29e52a9096a43722adfc"},
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{file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:e537484df0d8f426ce2afb2d0f8e1c3d0b114b83f8850e5f2fbea0e797bd82ae"},
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{file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:eb6904c354526e758fda7167b33005998fb68c46fbc10e013ca97f21ca5c8887"},
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{file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:deb6be0ac38ece9ba87dea880e438f25ca3eddfac8b002a2ec3d9183a454e8ae"},
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{file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:4ab2fe47fae9e0f9dee8c04187ce5d09f48eabe611be8259444906793ab7cbce"},
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{file = "charset_normalizer-3.3.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:80402cd6ee291dcb72644d6eac93785fe2c8b9cb30893c1af5b8fdd753b9d40f"},
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{file = "charset_normalizer-3.3.2-cp311-cp311-win32.whl", hash = "sha256:7cd13a2e3ddeed6913a65e66e94b51d80a041145a026c27e6bb76c31a853c6ab"},
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{file = "charset_normalizer-3.3.2-py3-none-any.whl", hash = "sha256:3e4d1f6587322d2788836a99c69062fbb091331ec940e02d12d179c1d53e25fc"},
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]
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "click"
|
|
|
|
|
version = "8.1.7"
|
|
|
|
|
description = "Composable command line interface toolkit"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.7"
|
|
|
|
|
files = [
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|
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|
{file = "click-8.1.7-py3-none-any.whl", hash = "sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28"},
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{file = "click-8.1.7.tar.gz", hash = "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de"},
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]
|
|
|
|
|
|
|
|
|
|
[package.dependencies]
|
|
|
|
|
colorama = {version = "*", markers = "platform_system == \"Windows\""}
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "cloudpickle"
|
|
|
|
|
version = "3.0.0"
|
|
|
|
|
description = "Pickler class to extend the standard pickle.Pickler functionality"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.8"
|
|
|
|
|
files = [
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|
{file = "cloudpickle-3.0.0-py3-none-any.whl", hash = "sha256:246ee7d0c295602a036e86369c77fecda4ab17b506496730f2f576d9016fd9c7"},
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{file = "cloudpickle-3.0.0.tar.gz", hash = "sha256:996d9a482c6fb4f33c1a35335cf8afd065d2a56e973270364840712d9131a882"},
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]
|
|
|
|
|
|
2024-03-27 23:33:26 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "cmake"
|
|
|
|
|
version = "3.29.0.1"
|
|
|
|
|
description = "CMake is an open-source, cross-platform family of tools designed to build, test and package software"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.7"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "cmake-3.29.0.1-py3-none-macosx_10_10_universal2.macosx_10_10_x86_64.macosx_11_0_arm64.macosx_11_0_universal2.whl", hash = "sha256:ec8b39fdeb75c48fd5a2894658a1ca75f94fb49b421c1f753d86d3e5d5e9f196"},
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{file = "cmake-3.29.0.1-py3-none-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:ead7dc5176a6c6347b3fc19532c25ec328f9279b6213902ac930242334e7b621"},
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|
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{file = "cmake-3.29.0.1-py3-none-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:f7c7dabf3dd40cb830d2eded43d51c5a3737625bbc5ab6916041c04e352b74f8"},
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{file = "cmake-3.29.0.1-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:de8f55198f4a820daf2c57645a4bb8cd1064dc92d950ad95be14c5ffabc15bd4"},
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{file = "cmake-3.29.0.1-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7bb8aaa3419eafd466931e4dcc161d3e5e6a82730ab508c75946ff4fc883b3f6"},
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{file = "cmake-3.29.0.1-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e956e4b6c2d8d6bbee399bf3c77e5b901d916fe8f35d6b2f58444d5892c4602b"},
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{file = "cmake-3.29.0.1-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2a8f7c8b07e6ab0dd444c5b74e658d5013ca0da456041029f734d751090bb7ec"},
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{file = "cmake-3.29.0.1-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:22493049b6383ea2baa7237a326c2914ab4a7b3e1642f4233245e3a34aae39f6"},
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{file = "cmake-3.29.0.1-py3-none-musllinux_1_1_aarch64.whl", hash = "sha256:d09573411901fc8a3ede7433713c000ac7b81cda0d771874e9182770acf29eb4"},
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{file = "cmake-3.29.0.1-py3-none-musllinux_1_1_i686.whl", hash = "sha256:c85e35ec572e54152154637f24d6bde316fbcf94dfea644bd8f22b1855a09abe"},
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[package.extras]
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|
|
test = ["coverage (>=4.2)", "pytest (>=3.0.3)", "pytest-cov (>=2.4.0)"]
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2024-02-29 02:11:29 +08:00
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|
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[[package]]
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|
name = "colorama"
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version = "0.4.6"
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description = "Cross-platform colored terminal text."
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optional = false
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python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
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files = [
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{file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
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{file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
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]
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2024-03-26 22:25:22 +08:00
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|
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[[package]]
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|
name = "coverage"
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|
version = "7.4.4"
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description = "Code coverage measurement for Python"
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optional = false
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python-versions = ">=3.8"
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{file = "coverage-7.4.4-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:cf271892d13e43bc2b51e6908ec9a6a5094a4df1d8af0bfc360088ee6c684409"},
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{file = "coverage-7.4.4-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a4cdc86d54b5da0df6d3d3a2f0b710949286094c3a6700c21e9015932b81447e"},
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{file = "coverage-7.4.4-cp38-cp38-win32.whl", hash = "sha256:dfa8fe35a0bb90382837b238fff375de15f0dcdb9ae68ff85f7a63649c98527e"},
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{file = "coverage-7.4.4-cp38-cp38-win_amd64.whl", hash = "sha256:b2991665420a803495e0b90a79233c1433d6ed77ef282e8e152a324bbbc5e0c8"},
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{file = "coverage-7.4.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:3b799445b9f7ee8bf299cfaed6f5b226c0037b74886a4e11515e569b36fe310d"},
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{file = "coverage-7.4.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:aadacf9a2f407a4688d700e4ebab33a7e2e408f2ca04dbf4aef17585389eff3e"},
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{file = "coverage-7.4.4-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7c95949560050d04d46b919301826525597f07b33beba6187d04fa64d47ac82e"},
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{file = "coverage-7.4.4-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ff7687ca3d7028d8a5f0ebae95a6e4827c5616b31a4ee1192bdfde697db110d4"},
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{file = "coverage-7.4.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:5fc1de20b2d4a061b3df27ab9b7c7111e9a710f10dc2b84d33a4ab25065994ec"},
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{file = "coverage-7.4.4-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:c74880fc64d4958159fbd537a091d2a585448a8f8508bf248d72112723974cbd"},
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{file = "coverage-7.4.4-cp39-cp39-win32.whl", hash = "sha256:d89d7b2974cae412400e88f35d86af72208e1ede1a541954af5d944a8ba46c57"},
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{file = "coverage-7.4.4-cp39-cp39-win_amd64.whl", hash = "sha256:9ca28a302acb19b6af89e90f33ee3e1906961f94b54ea37de6737b7ca9d8827c"},
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{file = "coverage-7.4.4-pp38.pp39.pp310-none-any.whl", hash = "sha256:b2c5edc4ac10a7ef6605a966c58929ec6c1bd0917fb8c15cb3363f65aa40e677"},
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{file = "coverage-7.4.4.tar.gz", hash = "sha256:c901df83d097649e257e803be22592aedfd5182f07b3cc87d640bbb9afd50f49"},
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]
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|
|
[package.dependencies]
|
|
|
|
|
tomli = {version = "*", optional = true, markers = "python_full_version <= \"3.11.0a6\" and extra == \"toml\""}
|
|
|
|
|
|
|
|
|
|
[package.extras]
|
|
|
|
|
toml = ["tomli"]
|
|
|
|
|
|
2024-03-05 23:03:03 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "debugpy"
|
|
|
|
|
version = "1.8.1"
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|
|
|
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description = "An implementation of the Debug Adapter Protocol for Python"
|
|
|
|
|
optional = false
|
|
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|
|
python-versions = ">=3.8"
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|
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|
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files = [
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{file = "debugpy-1.8.1-cp310-cp310-macosx_11_0_x86_64.whl", hash = "sha256:3bda0f1e943d386cc7a0e71bfa59f4137909e2ed947fb3946c506e113000f741"},
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{file = "debugpy-1.8.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dda73bf69ea479c8577a0448f8c707691152e6c4de7f0c4dec5a4bc11dee516e"},
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{file = "debugpy-1.8.1-cp310-cp310-win32.whl", hash = "sha256:3a79c6f62adef994b2dbe9fc2cc9cc3864a23575b6e387339ab739873bea53d0"},
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{file = "debugpy-1.8.1-cp310-cp310-win_amd64.whl", hash = "sha256:7eb7bd2b56ea3bedb009616d9e2f64aab8fc7000d481faec3cd26c98a964bcdd"},
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{file = "debugpy-1.8.1-cp311-cp311-macosx_11_0_universal2.whl", hash = "sha256:016a9fcfc2c6b57f939673c874310d8581d51a0fe0858e7fac4e240c5eb743cb"},
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{file = "debugpy-1.8.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fd97ed11a4c7f6d042d320ce03d83b20c3fb40da892f994bc041bbc415d7a099"},
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{file = "debugpy-1.8.1-cp311-cp311-win_amd64.whl", hash = "sha256:1a9fe0829c2b854757b4fd0a338d93bc17249a3bf69ecf765c61d4c522bb92a8"},
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{file = "debugpy-1.8.1-cp38-cp38-win32.whl", hash = "sha256:92116039b5500633cc8d44ecc187abe2dfa9b90f7a82bbf81d079fcdd506bae9"},
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{file = "debugpy-1.8.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:efd3fdd3f67a7e576dd869c184c5dd71d9aaa36ded271939da352880c012e703"},
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{file = "debugpy-1.8.1-cp39-cp39-win32.whl", hash = "sha256:58911e8521ca0c785ac7a0539f1e77e0ce2df753f786188f382229278b4cdf23"},
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{file = "debugpy-1.8.1-cp39-cp39-win_amd64.whl", hash = "sha256:6df9aa9599eb05ca179fb0b810282255202a66835c6efb1d112d21ecb830ddd3"},
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{file = "debugpy-1.8.1-py2.py3-none-any.whl", hash = "sha256:28acbe2241222b87e255260c76741e1fbf04fdc3b6d094fcf57b6c6f75ce1242"},
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{file = "debugpy-1.8.1.zip", hash = "sha256:f696d6be15be87aef621917585f9bb94b1dc9e8aced570db1b8a6fc14e8f9b42"},
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|
]
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|
|
2024-02-29 02:11:29 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "decorator"
|
|
|
|
|
version = "4.4.2"
|
|
|
|
|
description = "Decorators for Humans"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=2.6, !=3.0.*, !=3.1.*"
|
|
|
|
|
files = [
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|
{file = "decorator-4.4.2-py2.py3-none-any.whl", hash = "sha256:41fa54c2a0cc4ba648be4fd43cff00aedf5b9465c9bf18d64325bc225f08f760"},
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{file = "decorator-4.4.2.tar.gz", hash = "sha256:e3a62f0520172440ca0dcc823749319382e377f37f140a0b99ef45fecb84bfe7"},
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]
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|
2024-03-05 23:03:03 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "diffusers"
|
|
|
|
|
version = "0.26.3"
|
|
|
|
|
description = "State-of-the-art diffusion in PyTorch and JAX."
|
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|
|
|
optional = false
|
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|
|
|
python-versions = ">=3.8.0"
|
|
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|
|
files = [
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{file = "diffusers-0.26.3-py3-none-any.whl", hash = "sha256:f8f5710c8f9170e9749f0b104f50fc4a1259f8aff3effed99598409a5ea9b1cd"},
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{file = "diffusers-0.26.3.tar.gz", hash = "sha256:e217ea39e85b0bd34fee11f8b39fd00116680b05ff7a70c0b4fdab5351ae4f96"},
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]
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|
[package.dependencies]
|
|
|
|
|
filelock = "*"
|
|
|
|
|
huggingface-hub = ">=0.20.2"
|
|
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|
importlib-metadata = "*"
|
|
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|
|
numpy = "*"
|
|
|
|
|
Pillow = "*"
|
|
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|
|
regex = "!=2019.12.17"
|
|
|
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|
requests = "*"
|
|
|
|
|
safetensors = ">=0.3.1"
|
|
|
|
|
|
|
|
|
|
[package.extras]
|
|
|
|
|
dev = ["GitPython (<3.1.19)", "Jinja2", "accelerate (>=0.11.0)", "compel (==0.1.8)", "datasets", "flax (>=0.4.1)", "hf-doc-builder (>=0.3.0)", "invisible-watermark (>=0.2.0)", "isort (>=5.5.4)", "jax (>=0.4.1)", "jaxlib (>=0.4.1)", "k-diffusion (>=0.0.12)", "librosa", "parameterized", "peft (>=0.6.0)", "protobuf (>=3.20.3,<4)", "pytest", "pytest-timeout", "pytest-xdist", "requests-mock (==1.10.0)", "ruff (==0.1.5)", "safetensors (>=0.3.1)", "scipy", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "torch (>=1.4,<2.2.0)", "torchvision (<0.17)", "transformers (>=4.25.1)", "urllib3 (<=2.0.0)"]
|
|
|
|
|
docs = ["hf-doc-builder (>=0.3.0)"]
|
|
|
|
|
flax = ["flax (>=0.4.1)", "jax (>=0.4.1)", "jaxlib (>=0.4.1)"]
|
|
|
|
|
quality = ["hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "ruff (==0.1.5)", "urllib3 (<=2.0.0)"]
|
|
|
|
|
test = ["GitPython (<3.1.19)", "Jinja2", "compel (==0.1.8)", "datasets", "invisible-watermark (>=0.2.0)", "k-diffusion (>=0.0.12)", "librosa", "parameterized", "pytest", "pytest-timeout", "pytest-xdist", "requests-mock (==1.10.0)", "safetensors (>=0.3.1)", "scipy", "sentencepiece (>=0.1.91,!=0.1.92)", "torchvision (<0.17)", "transformers (>=4.25.1)"]
|
|
|
|
|
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"]
|
|
|
|
|
|
2024-02-29 19:26:35 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "distlib"
|
|
|
|
|
version = "0.3.8"
|
|
|
|
|
description = "Distribution utilities"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = "*"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "distlib-0.3.8-py2.py3-none-any.whl", hash = "sha256:034db59a0b96f8ca18035f36290806a9a6e6bd9d1ff91e45a7f172eb17e51784"},
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|
|
|
|
{file = "distlib-0.3.8.tar.gz", hash = "sha256:1530ea13e350031b6312d8580ddb6b27a104275a31106523b8f123787f494f64"},
|
|
|
|
|
]
|
|
|
|
|
|
Add Aloha env and ACT policy
WIP Aloha env tests pass
Rendering works (fps look fast tho? TODO action bounding is too wide [-1,1])
Update README
Copy past from act repo
Remove download.py add a WIP for Simxarm
Remove download.py add a WIP for Simxarm
Add act yaml (TODO: try train.py)
Training can runs (TODO: eval)
Add tasks without end_effector that are compatible with dataset, Eval can run (TODO: training and pretrained model)
Add AbstractEnv, Refactor AlohaEnv, Add rendering_hook in env, Minor modifications, (TODO: Refactor Pusht and Simxarm)
poetry lock
fix bug in compute_stats for action normalization
fix more bugs in normalization
fix training
fix import
PushtEnv inheriates AbstractEnv, Improve factory Normalization
Add _make_env to EnvAbstract
Add call_rendering_hooks to pusht env
SimxarmEnv inherites from AbstractEnv (NOT TESTED)
Add aloha tests artifacts + update pusht stats
fix image normalization: before env was in [0,1] but dataset in [0,255], and now both in [0,255]
Small fix on simxarm
Add next to obs
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
2024-03-08 17:47:39 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "dm-control"
|
|
|
|
|
version = "1.0.14"
|
|
|
|
|
description = "Continuous control environments and MuJoCo Python bindings."
|
|
|
|
|
optional = false
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|
|
|
|
python-versions = ">=3.8"
|
|
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|
|
files = [
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{file = "dm_control-1.0.14-py3-none-any.whl", hash = "sha256:883c63244a7ebf598700a97564ed19fffd3479ca79efd090aed881609cdb9fc6"},
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{file = "dm_control-1.0.14.tar.gz", hash = "sha256:def1ece747b6f175c581150826b50f1a6134086dab34f8f3fd2d088ea035cf3d"},
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]
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|
|
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|
|
|
[package.dependencies]
|
|
|
|
|
absl-py = ">=0.7.0"
|
|
|
|
|
dm-env = "*"
|
|
|
|
|
dm-tree = "!=0.1.2"
|
|
|
|
|
glfw = "*"
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|
|
|
|
labmaze = "*"
|
|
|
|
|
lxml = "*"
|
|
|
|
|
mujoco = ">=2.3.7"
|
|
|
|
|
numpy = ">=1.9.0"
|
|
|
|
|
protobuf = ">=3.19.4"
|
|
|
|
|
pyopengl = ">=3.1.4"
|
|
|
|
|
pyparsing = ">=3.0.0"
|
|
|
|
|
requests = "*"
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|
|
|
|
scipy = "*"
|
|
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|
|
setuptools = "!=50.0.0"
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|
|
tqdm = "*"
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|
|
|
|
|
|
|
|
|
[package.extras]
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|
|
|
|
hdf5 = ["h5py"]
|
|
|
|
|
|
2024-02-29 02:11:29 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "dm-env"
|
|
|
|
|
version = "1.6"
|
|
|
|
|
description = "A Python interface for Reinforcement Learning environments."
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.7"
|
|
|
|
|
files = [
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{file = "dm-env-1.6.tar.gz", hash = "sha256:a436eb1c654c39e0c986a516cee218bea7140b510fceff63f97eb4fcff3d93de"},
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{file = "dm_env-1.6-py3-none-any.whl", hash = "sha256:0eabb6759dd453b625e041032f7ae0c1e87d4eb61b6a96b9ca586483837abf29"},
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]
|
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|
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|
|
[package.dependencies]
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|
|
absl-py = "*"
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|
|
|
|
dm-tree = "*"
|
|
|
|
|
numpy = "*"
|
|
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|
|
[[package]]
|
|
|
|
|
name = "dm-tree"
|
|
|
|
|
version = "0.1.8"
|
|
|
|
|
description = "Tree is a library for working with nested data structures."
|
|
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|
|
optional = false
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|
python-versions = "*"
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files = [
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{file = "dm-tree-0.1.8.tar.gz", hash = "sha256:0fcaabbb14e7980377439e7140bd05552739ca5e515ecb3119f234acee4b9430"},
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{file = "dm_tree-0.1.8-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:35cc164a79336bfcfafb47e5f297898359123bbd3330c1967f0c4994f9cf9f60"},
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{file = "dm_tree-0.1.8-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2869228d9c619074de501a3c10dc7f07c75422f8fab36ecdcb859b6f1b1ec3ef"},
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{file = "dm_tree-0.1.8-cp310-cp310-win_amd64.whl", hash = "sha256:d40fa4106ca6edc66760246a08f500ec0c85ef55c762fb4a363f6ee739ba02ee"},
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{file = "dm_tree-0.1.8-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:b9bd9b9ccb59409d33d51d84b7668010c04c2af7d4a371632874c1ca356cff3d"},
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{file = "dm_tree-0.1.8-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0d3172394079a86c3a759179c65f64c48d1a42b89495fcf38976d11cc3bb952c"},
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{file = "dm_tree-0.1.8-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d1612fcaecd79023dbc6a6ae48d51a80beb5c385d6f3f6d71688e57bc8d07de8"},
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{file = "dm_tree-0.1.8-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c5c8c12e3fda754ef6af94161bacdaeda816d941995fac415d6855c6c386af68"},
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{file = "dm_tree-0.1.8-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:694c3654cfd2a81552c08ec66bb5c4a3d48fa292b9a181880fb081c36c5b9134"},
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{file = "dm_tree-0.1.8-cp38-cp38-win_amd64.whl", hash = "sha256:bb2d109f42190225112da899b9f3d46d0d5f26aef501c61e43529fe9322530b5"},
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{file = "dm_tree-0.1.8-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:d16e1f2a073604cfcc09f7131ae8d534674f43c3aef4c25742eae295bc60d04f"},
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{file = "dm_tree-0.1.8-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:81fce77f22a302d7a5968aebdf4efafef4def7ce96528719a354e6990dcd49c7"},
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{file = "dm_tree-0.1.8-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f7ac31b9aecccb2c6e1ab29706f6ded3eba0c2c69c770322c9c685929c3d6afb"},
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{file = "dm_tree-0.1.8-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1fe962015b2fe1282892b28ebe962faed53c7f98d942da9a4625cbf27baef913"},
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|
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{file = "dm_tree-0.1.8-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:28c52cbf4f8b3dbd0beaedf44f69fa85eec5e9dede612e08035e06ada6ec9426"},
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|
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{file = "dm_tree-0.1.8-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:181c35521d480d0365f39300542cb6cd7fd2b77351bb43d7acfda15aef63b317"},
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{file = "dm_tree-0.1.8-cp39-cp39-win_amd64.whl", hash = "sha256:8ed3564abed97c806db122c2d3e1a2b64c74a63debe9903aad795167cc301368"},
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]
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "docker-pycreds"
|
|
|
|
|
version = "0.4.0"
|
|
|
|
|
description = "Python bindings for the docker credentials store API"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = "*"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "docker-pycreds-0.4.0.tar.gz", hash = "sha256:6ce3270bcaf404cc4c3e27e4b6c70d3521deae82fb508767870fdbf772d584d4"},
|
|
|
|
|
{file = "docker_pycreds-0.4.0-py2.py3-none-any.whl", hash = "sha256:7266112468627868005106ec19cd0d722702d2b7d5912a28e19b826c3d37af49"},
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.dependencies]
|
|
|
|
|
six = ">=1.4.0"
|
|
|
|
|
|
2024-03-21 18:18:50 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "egl-probe"
|
|
|
|
|
version = "1.0.2"
|
|
|
|
|
description = ""
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = "*"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "egl_probe-1.0.2.tar.gz", hash = "sha256:29bdca7b08da1e060cfb42cd46af8300a7ac4f3b1b2eeb16e545ea16d9a5ac93"},
|
|
|
|
|
]
|
|
|
|
|
|
2024-02-29 02:11:29 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "einops"
|
|
|
|
|
version = "0.7.0"
|
|
|
|
|
description = "A new flavour of deep learning operations"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.8"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "einops-0.7.0-py3-none-any.whl", hash = "sha256:0f3096f26b914f465f6ff3c66f5478f9a5e380bb367ffc6493a68143fbbf1fd1"},
|
|
|
|
|
{file = "einops-0.7.0.tar.gz", hash = "sha256:b2b04ad6081a3b227080c9bf5e3ace7160357ff03043cd66cc5b2319eb7031d1"},
|
|
|
|
|
]
|
|
|
|
|
|
2024-03-05 23:03:03 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "exceptiongroup"
|
|
|
|
|
version = "1.2.0"
|
|
|
|
|
description = "Backport of PEP 654 (exception groups)"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.7"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "exceptiongroup-1.2.0-py3-none-any.whl", hash = "sha256:4bfd3996ac73b41e9b9628b04e079f193850720ea5945fc96a08633c66912f14"},
|
|
|
|
|
{file = "exceptiongroup-1.2.0.tar.gz", hash = "sha256:91f5c769735f051a4290d52edd0858999b57e5876e9f85937691bd4c9fa3ed68"},
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.extras]
|
|
|
|
|
test = ["pytest (>=6)"]
|
|
|
|
|
|
2024-03-25 00:36:22 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "farama-notifications"
|
|
|
|
|
version = "0.0.4"
|
|
|
|
|
description = "Notifications for all Farama Foundation maintained libraries."
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = "*"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "Farama-Notifications-0.0.4.tar.gz", hash = "sha256:13fceff2d14314cf80703c8266462ebf3733c7d165336eee998fc58e545efd18"},
|
|
|
|
|
{file = "Farama_Notifications-0.0.4-py3-none-any.whl", hash = "sha256:14de931035a41961f7c056361dc7f980762a143d05791ef5794a751a2caf05ae"},
|
|
|
|
|
]
|
|
|
|
|
|
2024-02-29 02:11:29 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "fasteners"
|
|
|
|
|
version = "0.19"
|
|
|
|
|
description = "A python package that provides useful locks"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.6"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "fasteners-0.19-py3-none-any.whl", hash = "sha256:758819cb5d94cdedf4e836988b74de396ceacb8e2794d21f82d131fd9ee77237"},
|
|
|
|
|
{file = "fasteners-0.19.tar.gz", hash = "sha256:b4f37c3ac52d8a445af3a66bce57b33b5e90b97c696b7b984f530cf8f0ded09c"},
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "filelock"
|
2024-04-05 18:41:11 +08:00
|
|
|
version = "3.13.3"
|
2024-02-29 02:11:29 +08:00
|
|
|
description = "A platform independent file lock."
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.8"
|
|
|
|
|
files = [
|
2024-04-05 18:41:11 +08:00
|
|
|
{file = "filelock-3.13.3-py3-none-any.whl", hash = "sha256:5ffa845303983e7a0b7ae17636509bc97997d58afeafa72fb141a17b152284cb"},
|
|
|
|
|
{file = "filelock-3.13.3.tar.gz", hash = "sha256:a79895a25bbefdf55d1a2a0a80968f7dbb28edcd6d4234a0afb3f37ecde4b546"},
|
2024-02-29 02:11:29 +08:00
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.extras]
|
2024-04-05 18:41:11 +08:00
|
|
|
docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"]
|
|
|
|
|
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)"]
|
2024-02-29 02:11:29 +08:00
|
|
|
typing = ["typing-extensions (>=4.8)"]
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "fsspec"
|
2024-03-20 17:45:45 +08:00
|
|
|
version = "2024.3.1"
|
2024-02-29 02:11:29 +08:00
|
|
|
description = "File-system specification"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.8"
|
|
|
|
|
files = [
|
2024-03-20 17:45:45 +08:00
|
|
|
{file = "fsspec-2024.3.1-py3-none-any.whl", hash = "sha256:918d18d41bf73f0e2b261824baeb1b124bcf771767e3a26425cd7dec3332f512"},
|
|
|
|
|
{file = "fsspec-2024.3.1.tar.gz", hash = "sha256:f39780e282d7d117ffb42bb96992f8a90795e4d0fb0f661a70ca39fe9c43ded9"},
|
2024-02-29 02:11:29 +08:00
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.extras]
|
|
|
|
|
abfs = ["adlfs"]
|
|
|
|
|
adl = ["adlfs"]
|
|
|
|
|
arrow = ["pyarrow (>=1)"]
|
|
|
|
|
dask = ["dask", "distributed"]
|
|
|
|
|
devel = ["pytest", "pytest-cov"]
|
|
|
|
|
dropbox = ["dropbox", "dropboxdrivefs", "requests"]
|
|
|
|
|
full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs", "smbprotocol", "tqdm"]
|
|
|
|
|
fuse = ["fusepy"]
|
|
|
|
|
gcs = ["gcsfs"]
|
|
|
|
|
git = ["pygit2"]
|
|
|
|
|
github = ["requests"]
|
|
|
|
|
gs = ["gcsfs"]
|
|
|
|
|
gui = ["panel"]
|
|
|
|
|
hdfs = ["pyarrow (>=1)"]
|
|
|
|
|
http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)"]
|
|
|
|
|
libarchive = ["libarchive-c"]
|
|
|
|
|
oci = ["ocifs"]
|
|
|
|
|
s3 = ["s3fs"]
|
|
|
|
|
sftp = ["paramiko"]
|
|
|
|
|
smb = ["smbprotocol"]
|
|
|
|
|
ssh = ["paramiko"]
|
|
|
|
|
tqdm = ["tqdm"]
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "gdown"
|
|
|
|
|
version = "5.1.0"
|
|
|
|
|
description = "Google Drive Public File/Folder Downloader"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.8"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "gdown-5.1.0-py3-none-any.whl", hash = "sha256:421530fd238fa15d41ba43219a79fdc28efe8ac11022173abad333701b77de2c"},
|
|
|
|
|
{file = "gdown-5.1.0.tar.gz", hash = "sha256:550a72dc5ca2819fe4bcc15d80d05d7c98c0b90e57256254b77d0256b9df4683"},
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.dependencies]
|
|
|
|
|
beautifulsoup4 = "*"
|
|
|
|
|
filelock = "*"
|
|
|
|
|
requests = {version = "*", extras = ["socks"]}
|
|
|
|
|
tqdm = "*"
|
|
|
|
|
|
|
|
|
|
[package.extras]
|
|
|
|
|
test = ["build", "mypy", "pytest", "pytest-xdist", "ruff", "twine", "types-requests"]
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "gitdb"
|
|
|
|
|
version = "4.0.11"
|
|
|
|
|
description = "Git Object Database"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.7"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "gitdb-4.0.11-py3-none-any.whl", hash = "sha256:81a3407ddd2ee8df444cbacea00e2d038e40150acfa3001696fe0dcf1d3adfa4"},
|
|
|
|
|
{file = "gitdb-4.0.11.tar.gz", hash = "sha256:bf5421126136d6d0af55bc1e7c1af1c397a34f5b7bd79e776cd3e89785c2b04b"},
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.dependencies]
|
|
|
|
|
smmap = ">=3.0.1,<6"
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "gitpython"
|
2024-04-05 18:41:11 +08:00
|
|
|
version = "3.1.43"
|
2024-02-29 02:11:29 +08:00
|
|
|
description = "GitPython is a Python library used to interact with Git repositories"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.7"
|
|
|
|
|
files = [
|
2024-04-05 18:41:11 +08:00
|
|
|
{file = "GitPython-3.1.43-py3-none-any.whl", hash = "sha256:eec7ec56b92aad751f9912a73404bc02ba212a23adb2c7098ee668417051a1ff"},
|
|
|
|
|
{file = "GitPython-3.1.43.tar.gz", hash = "sha256:35f314a9f878467f5453cc1fee295c3e18e52f1b99f10f6cf5b1682e968a9e7c"},
|
2024-02-29 02:11:29 +08:00
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.dependencies]
|
|
|
|
|
gitdb = ">=4.0.1,<5"
|
|
|
|
|
|
|
|
|
|
[package.extras]
|
2024-04-05 18:41:11 +08:00
|
|
|
doc = ["sphinx (==4.3.2)", "sphinx-autodoc-typehints", "sphinx-rtd-theme", "sphinxcontrib-applehelp (>=1.0.2,<=1.0.4)", "sphinxcontrib-devhelp (==1.0.2)", "sphinxcontrib-htmlhelp (>=2.0.0,<=2.0.1)", "sphinxcontrib-qthelp (==1.0.3)", "sphinxcontrib-serializinghtml (==1.1.5)"]
|
|
|
|
|
test = ["coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock", "mypy", "pre-commit", "pytest (>=7.3.1)", "pytest-cov", "pytest-instafail", "pytest-mock", "pytest-sugar", "typing-extensions"]
|
2024-02-29 02:11:29 +08:00
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "glfw"
|
|
|
|
|
version = "2.7.0"
|
|
|
|
|
description = "A ctypes-based wrapper for GLFW3."
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = "*"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "glfw-2.7.0-py2.py27.py3.py30.py31.py32.py33.py34.py35.py36.py37.py38-none-macosx_10_6_intel.whl", hash = "sha256:bd82849edcceda4e262bd1227afaa74b94f9f0731c1197863cd25c15bfc613fc"},
|
|
|
|
|
{file = "glfw-2.7.0-py2.py27.py3.py30.py31.py32.py33.py34.py35.py36.py37.py38-none-macosx_11_0_arm64.whl", hash = "sha256:56ea163c964bb0bc336def2d6a6a1bd42f9db4b870ef834ac77d7b7ee68b8dfc"},
|
|
|
|
|
{file = "glfw-2.7.0-py2.py27.py3.py30.py31.py32.py33.py34.py35.py36.py37.py38-none-manylinux2010_i686.whl", hash = "sha256:463aab9e5567c83d8120556b3a845807c60950ed0218fc1283368f46f5ece331"},
|
|
|
|
|
{file = "glfw-2.7.0-py2.py27.py3.py30.py31.py32.py33.py34.py35.py36.py37.py38-none-manylinux2010_x86_64.whl", hash = "sha256:a6f54188dfc349e5426b0ada84843f6eb35a3811d8dbf57ae49c448e7d683bb4"},
|
|
|
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[package.extras]
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preview = ["glfw-preview"]
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2024-03-21 18:18:50 +08:00
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[[package]]
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name = "grpcio"
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version = "1.62.1"
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description = "HTTP/2-based RPC framework"
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[package.extras]
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protobuf = ["grpcio-tools (>=1.62.1)"]
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2024-04-06 00:38:29 +08:00
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|
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[[package]]
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|
name = "gym-pusht"
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version = "0.1.0"
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description = "PushT environment for LeRobot"
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optional = true
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python-versions = "^3.10"
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files = []
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develop = false
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[package.dependencies]
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|
gymnasium = "^0.29.1"
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opencv-python = "^4.9.0.80"
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pygame = "^2.5.2"
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pymunk = "^6.6.0"
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scikit-image = "^0.22.0"
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shapely = "^2.0.3"
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[package.source]
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type = "git"
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url = "git@github.com:huggingface/gym-pusht.git"
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reference = "HEAD"
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resolved_reference = "0fe4449cca5a2b08f529f7a07fbf5b9df24962ec"
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|
2024-04-05 21:35:20 +08:00
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|
|
[[package]]
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|
|
|
|
name = "gym-xarm"
|
|
|
|
|
version = "0.1.0"
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|
|
|
|
description = "A gym environment for xArm"
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|
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|
optional = true
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|
python-versions = "^3.10"
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|
files = []
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develop = false
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|
[package.dependencies]
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|
|
gymnasium = "^0.29.1"
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gymnasium-robotics = "^1.2.4"
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mujoco = "^2.3.7"
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[package.source]
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|
type = "git"
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|
url = "git@github.com:huggingface/gym-xarm.git"
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reference = "HEAD"
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resolved_reference = "2eb83fc4fc871b9d271c946d169e42f226ac3a7c"
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2024-03-31 23:05:25 +08:00
|
|
|
|
2024-03-25 00:36:22 +08:00
|
|
|
[[package]]
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|
|
|
|
name = "gymnasium"
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|
|
|
version = "0.29.1"
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|
|
description = "A standard API for reinforcement learning and a diverse set of reference environments (formerly Gym)."
|
|
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|
optional = false
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|
|
python-versions = ">=3.8"
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|
files = [
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]
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[package.dependencies]
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|
cloudpickle = ">=1.2.0"
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farama-notifications = ">=0.0.1"
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numpy = ">=1.21.0"
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typing-extensions = ">=4.3.0"
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[package.extras]
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accept-rom-license = ["autorom[accept-rom-license] (>=0.4.2,<0.5.0)"]
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all = ["box2d-py (==2.3.5)", "cython (<3)", "imageio (>=2.14.1)", "jax (>=0.4.0)", "jaxlib (>=0.4.0)", "lz4 (>=3.1.0)", "matplotlib (>=3.0)", "moviepy (>=1.0.0)", "mujoco (>=2.3.3)", "mujoco-py (>=2.1,<2.2)", "opencv-python (>=3.0)", "pygame (>=2.1.3)", "shimmy[atari] (>=0.1.0,<1.0)", "swig (==4.*)", "torch (>=1.0.0)"]
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atari = ["shimmy[atari] (>=0.1.0,<1.0)"]
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box2d = ["box2d-py (==2.3.5)", "pygame (>=2.1.3)", "swig (==4.*)"]
|
|
|
|
|
classic-control = ["pygame (>=2.1.3)", "pygame (>=2.1.3)"]
|
|
|
|
|
jax = ["jax (>=0.4.0)", "jaxlib (>=0.4.0)"]
|
|
|
|
|
mujoco = ["imageio (>=2.14.1)", "mujoco (>=2.3.3)"]
|
|
|
|
|
mujoco-py = ["cython (<3)", "cython (<3)", "mujoco-py (>=2.1,<2.2)", "mujoco-py (>=2.1,<2.2)"]
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|
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|
|
other = ["lz4 (>=3.1.0)", "matplotlib (>=3.0)", "moviepy (>=1.0.0)", "opencv-python (>=3.0)", "torch (>=1.0.0)"]
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|
|
|
|
testing = ["pytest (==7.1.3)", "scipy (>=1.7.3)"]
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|
|
|
|
toy-text = ["pygame (>=2.1.3)", "pygame (>=2.1.3)"]
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|
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|
|
|
|
|
|
|
[[package]]
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|
|
|
|
name = "gymnasium-robotics"
|
|
|
|
|
version = "1.2.4"
|
|
|
|
|
description = "Robotics environments for the Gymnasium repo."
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.8"
|
|
|
|
|
files = [
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|
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|
|
{file = "gymnasium-robotics-1.2.4.tar.gz", hash = "sha256:d304192b066f8b800599dfbe3d9d90bba9b761ee884472bdc4d05968a8bc61cb"},
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{file = "gymnasium_robotics-1.2.4-py3-none-any.whl", hash = "sha256:c2cb23e087ca0280ae6802837eb7b3a6d14e5bd24c00803ab09f015fcff3eef5"},
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]
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|
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|
|
|
|
|
|
|
[package.dependencies]
|
|
|
|
|
gymnasium = ">=0.26"
|
|
|
|
|
imageio = "*"
|
|
|
|
|
Jinja2 = ">=3.0.3"
|
|
|
|
|
mujoco = ">=2.3.3,<3.0"
|
|
|
|
|
numpy = ">=1.21.0"
|
|
|
|
|
PettingZoo = ">=1.23.0"
|
|
|
|
|
|
|
|
|
|
[package.extras]
|
|
|
|
|
mujoco-py = ["cython (<3)", "mujoco-py (>=2.1,<2.2)"]
|
|
|
|
|
testing = ["Jinja2 (>=3.0.3)", "PettingZoo (>=1.23.0)", "cython (<3)", "mujoco-py (>=2.1,<2.2)", "pytest (==7.0.1)"]
|
|
|
|
|
|
2024-03-06 19:28:20 +08:00
|
|
|
[[package]]
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|
|
|
|
name = "h5py"
|
|
|
|
|
version = "3.10.0"
|
|
|
|
|
description = "Read and write HDF5 files from Python"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.8"
|
|
|
|
|
files = [
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{file = "h5py-3.10.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:43a61b2c2ad65b1fabc28802d133eed34debcc2c8b420cb213d3d4ef4d3e2229"},
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]
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|
|
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[package.dependencies]
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|
|
|
|
numpy = ">=1.17.3"
|
|
|
|
|
|
2024-03-15 08:30:11 +08:00
|
|
|
[[package]]
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|
|
|
|
name = "hf-transfer"
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|
|
version = "0.1.6"
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description = ""
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|
optional = false
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|
|
|
|
python-versions = ">=3.7"
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|
|
|
|
files = [
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{file = "hf_transfer-0.1.6-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:6fd3d61f9229d27def007e53540412507b74ac2fdb1a29985ae0b6a5137749a2"},
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{file = "hf_transfer-0.1.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b043bb78df1225de043eb041de9d97783fcca14a0bdc1b1d560fc172fc21b648"},
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{file = "hf_transfer-0.1.6-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b6f2b0c8b95b01409275d789a9b74d5f2e146346f985d384bf50ec727caf1ccc"},
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{file = "hf_transfer-0.1.6-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:aa855a2fa262792a230f9efcdb5da6d431b747d1861d2a69fe7834b19aea077e"},
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{file = "hf_transfer-0.1.6-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4aa8ca349afb2f0713475426946261eb2035e4efb50ebd2c1d5ad04f395f4217"},
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|
|
|
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{file = "hf_transfer-0.1.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:01255f043996bc7d1bae62d8afc5033a90c7e36ce308b988eeb84afe0a69562f"},
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|
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{file = "hf_transfer-0.1.6-cp38-none-win32.whl", hash = "sha256:60b1db183e8a7540cd4f8b2160ff4de55f77cb0c3fc6a10be1e7c30eb1b2bdeb"},
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|
|
|
|
{file = "hf_transfer-0.1.6-cp38-none-win_amd64.whl", hash = "sha256:fb8be3cba6aaa50ab2e9dffbd25c8eb2046785eeff642cf0cdd0dd9ae6be3539"},
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|
|
|
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{file = "hf_transfer-0.1.6-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d09af35e3e3f09b664e6429e9a0dc200f29c5bdfd88bdd9666de51183b1fe202"},
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|
|
|
|
{file = "hf_transfer-0.1.6-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:a4505bd707cc14d85c800f961fad8ca76f804a8ad22fbb7b1a217d8d0c15e6a5"},
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{file = "hf_transfer-0.1.6-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2c453fd8b0be9740faa23cecd1f28ee9ead7d900cefa64ff836960c503a744c9"},
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|
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{file = "hf_transfer-0.1.6-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:13cb8884e718a78c3b81a8cdec9c7ac196dd42961fce55c3ccff3dd783e5ad7a"},
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{file = "hf_transfer-0.1.6-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:39cd39df171a2b5404de69c4e6cd14eee47f6fe91c1692f939bfb9e59a0110d8"},
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{file = "hf_transfer-0.1.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8ff0629ee9f98df57a783599602eb498f9ec3619dc69348b12e4d9d754abf0e9"},
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{file = "hf_transfer-0.1.6-cp39-none-win32.whl", hash = "sha256:164a6ce445eb0cc7c645f5b6e1042c003d33292520c90052b6325f30c98e4c5f"},
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{file = "hf_transfer-0.1.6-cp39-none-win_amd64.whl", hash = "sha256:11b8b4b73bf455f13218c5f827698a30ae10998ca31b8264b51052868c7a9f11"},
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|
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|
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{file = "hf_transfer-0.1.6-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:16957ba057376a99ea361074ce1094f61b58e769defa6be2422ae59c0b6a6530"},
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|
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{file = "hf_transfer-0.1.6-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7db952112e3b8ee1a5cbf500d2443e9ce4fb893281c5310a3e31469898628005"},
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|
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|
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{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"},
|
|
|
|
|
]
|
|
|
|
|
|
2024-03-05 23:03:03 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "huggingface-hub"
|
Add Aloha env and ACT policy
WIP Aloha env tests pass
Rendering works (fps look fast tho? TODO action bounding is too wide [-1,1])
Update README
Copy past from act repo
Remove download.py add a WIP for Simxarm
Remove download.py add a WIP for Simxarm
Add act yaml (TODO: try train.py)
Training can runs (TODO: eval)
Add tasks without end_effector that are compatible with dataset, Eval can run (TODO: training and pretrained model)
Add AbstractEnv, Refactor AlohaEnv, Add rendering_hook in env, Minor modifications, (TODO: Refactor Pusht and Simxarm)
poetry lock
fix bug in compute_stats for action normalization
fix more bugs in normalization
fix training
fix import
PushtEnv inheriates AbstractEnv, Improve factory Normalization
Add _make_env to EnvAbstract
Add call_rendering_hooks to pusht env
SimxarmEnv inherites from AbstractEnv (NOT TESTED)
Add aloha tests artifacts + update pusht stats
fix image normalization: before env was in [0,1] but dataset in [0,255], and now both in [0,255]
Small fix on simxarm
Add next to obs
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
2024-03-08 17:47:39 +08:00
|
|
|
version = "0.21.4"
|
2024-03-05 23:03:03 +08:00
|
|
|
description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.8.0"
|
|
|
|
|
files = [
|
Add Aloha env and ACT policy
WIP Aloha env tests pass
Rendering works (fps look fast tho? TODO action bounding is too wide [-1,1])
Update README
Copy past from act repo
Remove download.py add a WIP for Simxarm
Remove download.py add a WIP for Simxarm
Add act yaml (TODO: try train.py)
Training can runs (TODO: eval)
Add tasks without end_effector that are compatible with dataset, Eval can run (TODO: training and pretrained model)
Add AbstractEnv, Refactor AlohaEnv, Add rendering_hook in env, Minor modifications, (TODO: Refactor Pusht and Simxarm)
poetry lock
fix bug in compute_stats for action normalization
fix more bugs in normalization
fix training
fix import
PushtEnv inheriates AbstractEnv, Improve factory Normalization
Add _make_env to EnvAbstract
Add call_rendering_hooks to pusht env
SimxarmEnv inherites from AbstractEnv (NOT TESTED)
Add aloha tests artifacts + update pusht stats
fix image normalization: before env was in [0,1] but dataset in [0,255], and now both in [0,255]
Small fix on simxarm
Add next to obs
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
2024-03-08 17:47:39 +08:00
|
|
|
{file = "huggingface_hub-0.21.4-py3-none-any.whl", hash = "sha256:df37c2c37fc6c82163cdd8a67ede261687d80d1e262526d6c0ce73b6b3630a7b"},
|
|
|
|
|
{file = "huggingface_hub-0.21.4.tar.gz", hash = "sha256:e1f4968c93726565a80edf6dc309763c7b546d0cfe79aa221206034d50155531"},
|
2024-03-05 23:03:03 +08:00
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.dependencies]
|
|
|
|
|
filelock = "*"
|
|
|
|
|
fsspec = ">=2023.5.0"
|
2024-03-15 08:30:11 +08:00
|
|
|
hf-transfer = {version = ">=0.1.4", optional = true, markers = "extra == \"hf_transfer\""}
|
2024-03-05 23:03:03 +08:00
|
|
|
packaging = ">=20.9"
|
|
|
|
|
pyyaml = ">=5.1"
|
|
|
|
|
requests = "*"
|
|
|
|
|
tqdm = ">=4.42.1"
|
|
|
|
|
typing-extensions = ">=3.7.4.3"
|
|
|
|
|
|
|
|
|
|
[package.extras]
|
|
|
|
|
all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
|
|
|
|
|
cli = ["InquirerPy (==0.3.4)"]
|
|
|
|
|
dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
|
|
|
|
|
fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
|
|
|
|
|
hf-transfer = ["hf-transfer (>=0.1.4)"]
|
|
|
|
|
inference = ["aiohttp", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)"]
|
|
|
|
|
quality = ["mypy (==1.5.1)", "ruff (>=0.1.3)"]
|
|
|
|
|
tensorflow = ["graphviz", "pydot", "tensorflow"]
|
|
|
|
|
testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
|
|
|
|
|
torch = ["safetensors", "torch"]
|
|
|
|
|
typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
|
|
|
|
|
|
2024-02-29 02:11:29 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "hydra-core"
|
|
|
|
|
version = "1.3.2"
|
|
|
|
|
description = "A framework for elegantly configuring complex applications"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = "*"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "hydra-core-1.3.2.tar.gz", hash = "sha256:8a878ed67216997c3e9d88a8e72e7b4767e81af37afb4ea3334b269a4390a824"},
|
|
|
|
|
{file = "hydra_core-1.3.2-py3-none-any.whl", hash = "sha256:fa0238a9e31df3373b35b0bfb672c34cc92718d21f81311d8996a16de1141d8b"},
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.dependencies]
|
|
|
|
|
antlr4-python3-runtime = "==4.9.*"
|
|
|
|
|
omegaconf = ">=2.2,<2.4"
|
|
|
|
|
packaging = "*"
|
|
|
|
|
|
2024-02-29 19:26:35 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "identify"
|
|
|
|
|
version = "2.5.35"
|
|
|
|
|
description = "File identification library for Python"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.8"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "identify-2.5.35-py2.py3-none-any.whl", hash = "sha256:c4de0081837b211594f8e877a6b4fad7ca32bbfc1a9307fdd61c28bfe923f13e"},
|
|
|
|
|
{file = "identify-2.5.35.tar.gz", hash = "sha256:10a7ca245cfcd756a554a7288159f72ff105ad233c7c4b9c6f0f4d108f5f6791"},
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.extras]
|
|
|
|
|
license = ["ukkonen"]
|
|
|
|
|
|
2024-02-29 02:11:29 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "idna"
|
|
|
|
|
version = "3.6"
|
|
|
|
|
description = "Internationalized Domain Names in Applications (IDNA)"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.5"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "idna-3.6-py3-none-any.whl", hash = "sha256:c05567e9c24a6b9faaa835c4821bad0590fbb9d5779e7caa6e1cc4978e7eb24f"},
|
|
|
|
|
{file = "idna-3.6.tar.gz", hash = "sha256:9ecdbbd083b06798ae1e86adcbfe8ab1479cf864e4ee30fe4e46a003d12491ca"},
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "imageio"
|
|
|
|
|
version = "2.34.0"
|
|
|
|
|
description = "Library for reading and writing a wide range of image, video, scientific, and volumetric data formats."
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.8"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "imageio-2.34.0-py3-none-any.whl", hash = "sha256:08082bf47ccb54843d9c73fe9fc8f3a88c72452ab676b58aca74f36167e8ccba"},
|
|
|
|
|
{file = "imageio-2.34.0.tar.gz", hash = "sha256:ae9732e10acf807a22c389aef193f42215718e16bd06eed0c5bb57e1034a4d53"},
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.dependencies]
|
|
|
|
|
av = {version = "*", optional = true, markers = "extra == \"pyav\""}
|
|
|
|
|
numpy = "*"
|
|
|
|
|
pillow = ">=8.3.2"
|
|
|
|
|
|
|
|
|
|
[package.extras]
|
|
|
|
|
all-plugins = ["astropy", "av", "imageio-ffmpeg", "pillow-heif", "psutil", "tifffile"]
|
|
|
|
|
all-plugins-pypy = ["av", "imageio-ffmpeg", "pillow-heif", "psutil", "tifffile"]
|
|
|
|
|
build = ["wheel"]
|
|
|
|
|
dev = ["black", "flake8", "fsspec[github]", "pytest", "pytest-cov"]
|
|
|
|
|
docs = ["numpydoc", "pydata-sphinx-theme", "sphinx (<6)"]
|
|
|
|
|
ffmpeg = ["imageio-ffmpeg", "psutil"]
|
|
|
|
|
fits = ["astropy"]
|
|
|
|
|
full = ["astropy", "av", "black", "flake8", "fsspec[github]", "gdal", "imageio-ffmpeg", "itk", "numpydoc", "pillow-heif", "psutil", "pydata-sphinx-theme", "pytest", "pytest-cov", "sphinx (<6)", "tifffile", "wheel"]
|
|
|
|
|
gdal = ["gdal"]
|
|
|
|
|
itk = ["itk"]
|
|
|
|
|
linting = ["black", "flake8"]
|
|
|
|
|
pillow-heif = ["pillow-heif"]
|
|
|
|
|
pyav = ["av"]
|
|
|
|
|
test = ["fsspec[github]", "pytest", "pytest-cov"]
|
|
|
|
|
tifffile = ["tifffile"]
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "imageio-ffmpeg"
|
|
|
|
|
version = "0.4.9"
|
|
|
|
|
description = "FFMPEG wrapper for Python"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.5"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "imageio-ffmpeg-0.4.9.tar.gz", hash = "sha256:39bcd1660118ef360fa4047456501071364661aa9d9021d3d26c58f1ee2081f5"},
|
|
|
|
|
{file = "imageio_ffmpeg-0.4.9-py3-none-macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl", hash = "sha256:24095e882a126a0d217197b86265f821b4bb3cf9004104f67c1384a2b4b49168"},
|
|
|
|
|
{file = "imageio_ffmpeg-0.4.9-py3-none-manylinux2010_x86_64.whl", hash = "sha256:2996c64af3e5489227096580269317719ea1a8121d207f2e28d6c24ebc4a253e"},
|
|
|
|
|
{file = "imageio_ffmpeg-0.4.9-py3-none-manylinux2014_aarch64.whl", hash = "sha256:7eead662d2f46d748c0ab446b68f423eb63d2b54d0a8ef96f80607245540866d"},
|
|
|
|
|
{file = "imageio_ffmpeg-0.4.9-py3-none-win32.whl", hash = "sha256:b6de1e18911687c538d5585d8287ab1a23624ca9dc2044fcc4607de667bcf11e"},
|
|
|
|
|
{file = "imageio_ffmpeg-0.4.9-py3-none-win_amd64.whl", hash = "sha256:7e900c695c6541b1cb17feb1baacd4009b30a53a45b81c23d53a67ab13ffb766"},
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.dependencies]
|
|
|
|
|
setuptools = "*"
|
|
|
|
|
|
2024-03-05 23:03:03 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "importlib-metadata"
|
2024-03-21 18:18:50 +08:00
|
|
|
version = "7.1.0"
|
2024-03-05 23:03:03 +08:00
|
|
|
description = "Read metadata from Python packages"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.8"
|
|
|
|
|
files = [
|
2024-03-21 18:18:50 +08:00
|
|
|
{file = "importlib_metadata-7.1.0-py3-none-any.whl", hash = "sha256:30962b96c0c223483ed6cc7280e7f0199feb01a0e40cfae4d4450fc6fab1f570"},
|
|
|
|
|
{file = "importlib_metadata-7.1.0.tar.gz", hash = "sha256:b78938b926ee8d5f020fc4772d487045805a55ddbad2ecf21c6d60938dc7fcd2"},
|
2024-03-05 23:03:03 +08:00
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.dependencies]
|
|
|
|
|
zipp = ">=0.5"
|
|
|
|
|
|
|
|
|
|
[package.extras]
|
Add Aloha env and ACT policy
WIP Aloha env tests pass
Rendering works (fps look fast tho? TODO action bounding is too wide [-1,1])
Update README
Copy past from act repo
Remove download.py add a WIP for Simxarm
Remove download.py add a WIP for Simxarm
Add act yaml (TODO: try train.py)
Training can runs (TODO: eval)
Add tasks without end_effector that are compatible with dataset, Eval can run (TODO: training and pretrained model)
Add AbstractEnv, Refactor AlohaEnv, Add rendering_hook in env, Minor modifications, (TODO: Refactor Pusht and Simxarm)
poetry lock
fix bug in compute_stats for action normalization
fix more bugs in normalization
fix training
fix import
PushtEnv inheriates AbstractEnv, Improve factory Normalization
Add _make_env to EnvAbstract
Add call_rendering_hooks to pusht env
SimxarmEnv inherites from AbstractEnv (NOT TESTED)
Add aloha tests artifacts + update pusht stats
fix image normalization: before env was in [0,1] but dataset in [0,255], and now both in [0,255]
Small fix on simxarm
Add next to obs
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
2024-03-08 17:47:39 +08:00
|
|
|
docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
|
2024-03-05 23:03:03 +08:00
|
|
|
perf = ["ipython"]
|
2024-03-21 18:18:50 +08:00
|
|
|
testing = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-perf (>=0.9.2)", "pytest-ruff (>=0.2.1)"]
|
2024-02-29 02:11:29 +08:00
|
|
|
|
2024-03-05 23:03:03 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "iniconfig"
|
|
|
|
|
version = "2.0.0"
|
|
|
|
|
description = "brain-dead simple config-ini parsing"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.7"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
|
|
|
|
|
{file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
|
|
|
|
|
]
|
|
|
|
|
|
2024-02-29 02:11:29 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "jinja2"
|
|
|
|
|
version = "3.1.3"
|
|
|
|
|
description = "A very fast and expressive template engine."
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.7"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "Jinja2-3.1.3-py3-none-any.whl", hash = "sha256:7d6d50dd97d52cbc355597bd845fabfbac3f551e1f99619e39a35ce8c370b5fa"},
|
|
|
|
|
{file = "Jinja2-3.1.3.tar.gz", hash = "sha256:ac8bd6544d4bb2c9792bf3a159e80bba8fda7f07e81bc3aed565432d5925ba90"},
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.dependencies]
|
|
|
|
|
MarkupSafe = ">=2.0"
|
|
|
|
|
|
|
|
|
|
[package.extras]
|
|
|
|
|
i18n = ["Babel (>=2.7)"]
|
|
|
|
|
|
Add Aloha env and ACT policy
WIP Aloha env tests pass
Rendering works (fps look fast tho? TODO action bounding is too wide [-1,1])
Update README
Copy past from act repo
Remove download.py add a WIP for Simxarm
Remove download.py add a WIP for Simxarm
Add act yaml (TODO: try train.py)
Training can runs (TODO: eval)
Add tasks without end_effector that are compatible with dataset, Eval can run (TODO: training and pretrained model)
Add AbstractEnv, Refactor AlohaEnv, Add rendering_hook in env, Minor modifications, (TODO: Refactor Pusht and Simxarm)
poetry lock
fix bug in compute_stats for action normalization
fix more bugs in normalization
fix training
fix import
PushtEnv inheriates AbstractEnv, Improve factory Normalization
Add _make_env to EnvAbstract
Add call_rendering_hooks to pusht env
SimxarmEnv inherites from AbstractEnv (NOT TESTED)
Add aloha tests artifacts + update pusht stats
fix image normalization: before env was in [0,1] but dataset in [0,255], and now both in [0,255]
Small fix on simxarm
Add next to obs
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
2024-03-08 17:47:39 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "labmaze"
|
|
|
|
|
version = "1.0.6"
|
|
|
|
|
description = "LabMaze: DeepMind Lab's text maze generator."
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = "*"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "labmaze-1.0.6-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:b2ddef976dfd8d992b19cfa6c633f2eba7576d759c2082da534e3f727479a84a"},
|
|
|
|
|
{file = "labmaze-1.0.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:157efaa93228c8ccce5cae337902dd652093e0fba9d3a0f6506e4bee272bb66f"},
|
|
|
|
|
{file = "labmaze-1.0.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b3ce98b9541c5fe6a306e411e7d018121dd646f2c9978d763fad86f9f30c5f57"},
|
|
|
|
|
{file = "labmaze-1.0.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4e6433bd49bc541791de8191040526fddfebb77151620eb04203453f43ee486a"},
|
|
|
|
|
{file = "labmaze-1.0.6-cp310-cp310-win_amd64.whl", hash = "sha256:6a507fc35961f1b1479708e2716f65e0d0611cefb55f31a77be29ce2339b6fef"},
|
|
|
|
|
{file = "labmaze-1.0.6-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:a0c2cb9dec971814ea9c5d7150af15fa3964482131fa969e0afb94bd224348af"},
|
|
|
|
|
{file = "labmaze-1.0.6-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:2c6ba9538d819543f4be448d36b4926a3881e53646a2b331ebb5a1f353047d05"},
|
|
|
|
|
{file = "labmaze-1.0.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:70635d1cdb0147a02efb6b3f607a52cdc51723bc3dcc42717a0d4ef55fa0a987"},
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|
|
|
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{file = "labmaze-1.0.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ff472793238bd9b6dabea8094594d6074ad3c111455de3afcae72f6c40c6817e"},
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|
|
|
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{file = "labmaze-1.0.6-cp311-cp311-win_amd64.whl", hash = "sha256:2317e65e12fa3d1abecda7e0488dab15456cee8a2e717a586bfc8f02a91579e7"},
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|
|
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{file = "labmaze-1.0.6-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:e36b6fadcd78f22057b597c1c77823e806a0987b3bdfbf850e14b6b5b502075e"},
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|
|
|
|
{file = "labmaze-1.0.6-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:d1a4f8de29c2c3d7f14163759b69cd3f237093b85334c983619c1db5403a223b"},
|
|
|
|
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{file = "labmaze-1.0.6-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a394f8bb857fcaa2884b809d63e750841c2662a106cfe8c045f2112d201ac7d5"},
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|
|
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{file = "labmaze-1.0.6-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0d17abb69d4dfc56183afb5c317e8b2eaca0587abb3aabd2326efd3143c81f4e"},
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|
|
|
|
{file = "labmaze-1.0.6-cp312-cp312-win_amd64.whl", hash = "sha256:5af997598cc46b1929d1c5a1febc32fd56c75874fe481a2a5982c65cee8450c9"},
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|
|
|
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{file = "labmaze-1.0.6-cp37-cp37m-macosx_10_12_x86_64.whl", hash = "sha256:a4c5bc6e56baa55ce63b97569afec2f80cab0f6b952752a131e1f83eed190a53"},
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|
|
|
|
{file = "labmaze-1.0.6-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3955f24fe5f708e1e97495b4cfe284b70ae4fd51be5e17b75a6fc04ffbd67bca"},
|
|
|
|
|
{file = "labmaze-1.0.6-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ed96ddc0bb8d66df36428c94db83949fd84a15867e8250763a4c5e3d82104c54"},
|
|
|
|
|
{file = "labmaze-1.0.6-cp37-cp37m-win_amd64.whl", hash = "sha256:3bd0458a29e55aa09f146e28a168d2e00b8ccf19e2259a3f71154cfff3536b1d"},
|
|
|
|
|
{file = "labmaze-1.0.6-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:33f5154edc83dff55a150e54b60c8582fdafc7ec45195049809cbcc01f5e8f34"},
|
|
|
|
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{file = "labmaze-1.0.6-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:0971055ef2a5f7d8517fdc42b67c057093698f1eb911f46faa7018867b73fcc9"},
|
|
|
|
|
{file = "labmaze-1.0.6-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:de18d09680007302abf49111f3fe822d8435e4fbc4468b9ec07d50a78e267865"},
|
|
|
|
|
{file = "labmaze-1.0.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f18126066db2218a52853c7dd490b4c3d8129fc22eb3a47eb23007524b911d53"},
|
|
|
|
|
{file = "labmaze-1.0.6-cp38-cp38-win_amd64.whl", hash = "sha256:f9aef09a76877342bb4d634b7e05f43b038a49c4f34adfb8f1b8ac57c29472f2"},
|
|
|
|
|
{file = "labmaze-1.0.6-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:5dd28899418f1b8b1c7d1e1b40a4593150a7cfa95ca91e23860b9785b82cc0ee"},
|
|
|
|
|
{file = "labmaze-1.0.6-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:965569f37ee33090b4d4b3aa5aa7c9dcc4f62e2ae5d761e7f73ec76fc9d8aa96"},
|
|
|
|
|
{file = "labmaze-1.0.6-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:05eccfa98c0e781bc9f939076ae600b2e25ca736e123f2a530606aedec3b531c"},
|
|
|
|
|
{file = "labmaze-1.0.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bee8c94e0fb3fc2d8180214947245c1d74a3489349a9da90b868296e77a521e9"},
|
|
|
|
|
{file = "labmaze-1.0.6-cp39-cp39-win_amd64.whl", hash = "sha256:d486e9ca3a335ad628e3bd48a09c42f1aa5f51040952ef0fe32507afedcd694b"},
|
|
|
|
|
{file = "labmaze-1.0.6.tar.gz", hash = "sha256:2e8de7094042a77d6972f1965cf5c9e8f971f1b34d225752f343190a825ebe73"},
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.dependencies]
|
|
|
|
|
absl-py = "*"
|
|
|
|
|
numpy = ">=1.8.0"
|
|
|
|
|
setuptools = "!=50.0.0"
|
|
|
|
|
|
2024-02-29 02:11:29 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "lazy-loader"
|
2024-04-06 00:38:29 +08:00
|
|
|
version = "0.4"
|
|
|
|
|
description = "Makes it easy to load subpackages and functions on demand."
|
2024-02-29 02:11:29 +08:00
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.7"
|
|
|
|
|
files = [
|
2024-04-06 00:38:29 +08:00
|
|
|
{file = "lazy_loader-0.4-py3-none-any.whl", hash = "sha256:342aa8e14d543a154047afb4ba8ef17f5563baad3fc610d7b15b213b0f119efc"},
|
|
|
|
|
{file = "lazy_loader-0.4.tar.gz", hash = "sha256:47c75182589b91a4e1a85a136c074285a5ad4d9f39c63e0d7fb76391c4574cd1"},
|
2024-02-29 02:11:29 +08:00
|
|
|
]
|
|
|
|
|
|
2024-04-06 00:38:29 +08:00
|
|
|
[package.dependencies]
|
|
|
|
|
packaging = "*"
|
|
|
|
|
|
2024-02-29 02:11:29 +08:00
|
|
|
[package.extras]
|
2024-04-06 00:38:29 +08:00
|
|
|
dev = ["changelist (==0.5)"]
|
|
|
|
|
lint = ["pre-commit (==3.7.0)"]
|
2024-02-29 02:11:29 +08:00
|
|
|
test = ["pytest (>=7.4)", "pytest-cov (>=4.1)"]
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "llvmlite"
|
|
|
|
|
version = "0.42.0"
|
|
|
|
|
description = "lightweight wrapper around basic LLVM functionality"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.9"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "llvmlite-0.42.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:3366938e1bf63d26c34fbfb4c8e8d2ded57d11e0567d5bb243d89aab1eb56098"},
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|
|
|
|
{file = "llvmlite-0.42.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c35da49666a21185d21b551fc3caf46a935d54d66969d32d72af109b5e7d2b6f"},
|
|
|
|
|
{file = "llvmlite-0.42.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:70f44ccc3c6220bd23e0ba698a63ec2a7d3205da0d848804807f37fc243e3f77"},
|
|
|
|
|
{file = "llvmlite-0.42.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:763f8d8717a9073b9e0246998de89929071d15b47f254c10eef2310b9aac033d"},
|
|
|
|
|
{file = "llvmlite-0.42.0-cp310-cp310-win_amd64.whl", hash = "sha256:8d90edf400b4ceb3a0e776b6c6e4656d05c7187c439587e06f86afceb66d2be5"},
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|
|
|
|
{file = "llvmlite-0.42.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:ae511caed28beaf1252dbaf5f40e663f533b79ceb408c874c01754cafabb9cbf"},
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|
|
|
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{file = "llvmlite-0.42.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:81e674c2fe85576e6c4474e8c7e7aba7901ac0196e864fe7985492b737dbab65"},
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|
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{file = "llvmlite-0.42.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bb3975787f13eb97629052edb5017f6c170eebc1c14a0433e8089e5db43bcce6"},
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{file = "llvmlite-0.42.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c5bece0cdf77f22379f19b1959ccd7aee518afa4afbd3656c6365865f84903f9"},
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{file = "llvmlite-0.42.0-cp311-cp311-win_amd64.whl", hash = "sha256:7e0c4c11c8c2aa9b0701f91b799cb9134a6a6de51444eff5a9087fc7c1384275"},
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|
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{file = "llvmlite-0.42.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:08fa9ab02b0d0179c688a4216b8939138266519aaa0aa94f1195a8542faedb56"},
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{file = "llvmlite-0.42.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:b2fce7d355068494d1e42202c7aff25d50c462584233013eb4470c33b995e3ee"},
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|
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{file = "llvmlite-0.42.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ebe66a86dc44634b59a3bc860c7b20d26d9aaffcd30364ebe8ba79161a9121f4"},
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{file = "llvmlite-0.42.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d47494552559e00d81bfb836cf1c4d5a5062e54102cc5767d5aa1e77ccd2505c"},
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|
|
|
|
{file = "llvmlite-0.42.0-cp312-cp312-win_amd64.whl", hash = "sha256:05cb7e9b6ce69165ce4d1b994fbdedca0c62492e537b0cc86141b6e2c78d5888"},
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|
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{file = "llvmlite-0.42.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:bdd3888544538a94d7ec99e7c62a0cdd8833609c85f0c23fcb6c5c591aec60ad"},
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{file = "llvmlite-0.42.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:d0936c2067a67fb8816c908d5457d63eba3e2b17e515c5fe00e5ee2bace06040"},
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{file = "llvmlite-0.42.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a78ab89f1924fc11482209f6799a7a3fc74ddc80425a7a3e0e8174af0e9e2301"},
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{file = "llvmlite-0.42.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d7599b65c7af7abbc978dbf345712c60fd596aa5670496561cc10e8a71cebfb2"},
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{file = "llvmlite-0.42.0-cp39-cp39-win_amd64.whl", hash = "sha256:43d65cc4e206c2e902c1004dd5418417c4efa6c1d04df05c6c5675a27e8ca90e"},
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{file = "llvmlite-0.42.0.tar.gz", hash = "sha256:f92b09243c0cc3f457da8b983f67bd8e1295d0f5b3746c7a1861d7a99403854a"},
|
|
|
|
|
]
|
|
|
|
|
|
Add Aloha env and ACT policy
WIP Aloha env tests pass
Rendering works (fps look fast tho? TODO action bounding is too wide [-1,1])
Update README
Copy past from act repo
Remove download.py add a WIP for Simxarm
Remove download.py add a WIP for Simxarm
Add act yaml (TODO: try train.py)
Training can runs (TODO: eval)
Add tasks without end_effector that are compatible with dataset, Eval can run (TODO: training and pretrained model)
Add AbstractEnv, Refactor AlohaEnv, Add rendering_hook in env, Minor modifications, (TODO: Refactor Pusht and Simxarm)
poetry lock
fix bug in compute_stats for action normalization
fix more bugs in normalization
fix training
fix import
PushtEnv inheriates AbstractEnv, Improve factory Normalization
Add _make_env to EnvAbstract
Add call_rendering_hooks to pusht env
SimxarmEnv inherites from AbstractEnv (NOT TESTED)
Add aloha tests artifacts + update pusht stats
fix image normalization: before env was in [0,1] but dataset in [0,255], and now both in [0,255]
Small fix on simxarm
Add next to obs
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
2024-03-08 17:47:39 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "lxml"
|
2024-04-05 18:41:11 +08:00
|
|
|
version = "5.2.1"
|
Add Aloha env and ACT policy
WIP Aloha env tests pass
Rendering works (fps look fast tho? TODO action bounding is too wide [-1,1])
Update README
Copy past from act repo
Remove download.py add a WIP for Simxarm
Remove download.py add a WIP for Simxarm
Add act yaml (TODO: try train.py)
Training can runs (TODO: eval)
Add tasks without end_effector that are compatible with dataset, Eval can run (TODO: training and pretrained model)
Add AbstractEnv, Refactor AlohaEnv, Add rendering_hook in env, Minor modifications, (TODO: Refactor Pusht and Simxarm)
poetry lock
fix bug in compute_stats for action normalization
fix more bugs in normalization
fix training
fix import
PushtEnv inheriates AbstractEnv, Improve factory Normalization
Add _make_env to EnvAbstract
Add call_rendering_hooks to pusht env
SimxarmEnv inherites from AbstractEnv (NOT TESTED)
Add aloha tests artifacts + update pusht stats
fix image normalization: before env was in [0,1] but dataset in [0,255], and now both in [0,255]
Small fix on simxarm
Add next to obs
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
2024-03-08 17:47:39 +08:00
|
|
|
description = "Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API."
|
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|
optional = false
|
|
|
|
|
python-versions = ">=3.6"
|
|
|
|
|
files = [
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2024-04-05 18:41:11 +08:00
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{file = "lxml-5.2.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:a0af35bd8ebf84888373630f73f24e86bf016642fb8576fba49d3d6b560b7cbc"},
|
|
|
|
|
{file = "lxml-5.2.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f8aca2e3a72f37bfc7b14ba96d4056244001ddcc18382bd0daa087fd2e68a354"},
|
|
|
|
|
{file = "lxml-5.2.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5ca1e8188b26a819387b29c3895c47a5e618708fe6f787f3b1a471de2c4a94d9"},
|
|
|
|
|
{file = "lxml-5.2.1-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:c8ba129e6d3b0136a0f50345b2cb3db53f6bda5dd8c7f5d83fbccba97fb5dcb5"},
|
|
|
|
|
{file = "lxml-5.2.1-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:e998e304036198b4f6914e6a1e2b6f925208a20e2042563d9734881150c6c246"},
|
|
|
|
|
{file = "lxml-5.2.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:d3be9b2076112e51b323bdf6d5a7f8a798de55fb8d95fcb64bd179460cdc0704"},
|
|
|
|
|
{file = "lxml-5.2.1.tar.gz", hash = "sha256:3f7765e69bbce0906a7c74d5fe46d2c7a7596147318dbc08e4a2431f3060e306"},
|
Add Aloha env and ACT policy
WIP Aloha env tests pass
Rendering works (fps look fast tho? TODO action bounding is too wide [-1,1])
Update README
Copy past from act repo
Remove download.py add a WIP for Simxarm
Remove download.py add a WIP for Simxarm
Add act yaml (TODO: try train.py)
Training can runs (TODO: eval)
Add tasks without end_effector that are compatible with dataset, Eval can run (TODO: training and pretrained model)
Add AbstractEnv, Refactor AlohaEnv, Add rendering_hook in env, Minor modifications, (TODO: Refactor Pusht and Simxarm)
poetry lock
fix bug in compute_stats for action normalization
fix more bugs in normalization
fix training
fix import
PushtEnv inheriates AbstractEnv, Improve factory Normalization
Add _make_env to EnvAbstract
Add call_rendering_hooks to pusht env
SimxarmEnv inherites from AbstractEnv (NOT TESTED)
Add aloha tests artifacts + update pusht stats
fix image normalization: before env was in [0,1] but dataset in [0,255], and now both in [0,255]
Small fix on simxarm
Add next to obs
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
2024-03-08 17:47:39 +08:00
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.extras]
|
|
|
|
|
cssselect = ["cssselect (>=0.7)"]
|
2024-04-05 18:41:11 +08:00
|
|
|
html-clean = ["lxml-html-clean"]
|
Add Aloha env and ACT policy
WIP Aloha env tests pass
Rendering works (fps look fast tho? TODO action bounding is too wide [-1,1])
Update README
Copy past from act repo
Remove download.py add a WIP for Simxarm
Remove download.py add a WIP for Simxarm
Add act yaml (TODO: try train.py)
Training can runs (TODO: eval)
Add tasks without end_effector that are compatible with dataset, Eval can run (TODO: training and pretrained model)
Add AbstractEnv, Refactor AlohaEnv, Add rendering_hook in env, Minor modifications, (TODO: Refactor Pusht and Simxarm)
poetry lock
fix bug in compute_stats for action normalization
fix more bugs in normalization
fix training
fix import
PushtEnv inheriates AbstractEnv, Improve factory Normalization
Add _make_env to EnvAbstract
Add call_rendering_hooks to pusht env
SimxarmEnv inherites from AbstractEnv (NOT TESTED)
Add aloha tests artifacts + update pusht stats
fix image normalization: before env was in [0,1] but dataset in [0,255], and now both in [0,255]
Small fix on simxarm
Add next to obs
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
2024-03-08 17:47:39 +08:00
|
|
|
html5 = ["html5lib"]
|
|
|
|
|
htmlsoup = ["BeautifulSoup4"]
|
2024-04-05 18:41:11 +08:00
|
|
|
source = ["Cython (>=3.0.10)"]
|
Add Aloha env and ACT policy
WIP Aloha env tests pass
Rendering works (fps look fast tho? TODO action bounding is too wide [-1,1])
Update README
Copy past from act repo
Remove download.py add a WIP for Simxarm
Remove download.py add a WIP for Simxarm
Add act yaml (TODO: try train.py)
Training can runs (TODO: eval)
Add tasks without end_effector that are compatible with dataset, Eval can run (TODO: training and pretrained model)
Add AbstractEnv, Refactor AlohaEnv, Add rendering_hook in env, Minor modifications, (TODO: Refactor Pusht and Simxarm)
poetry lock
fix bug in compute_stats for action normalization
fix more bugs in normalization
fix training
fix import
PushtEnv inheriates AbstractEnv, Improve factory Normalization
Add _make_env to EnvAbstract
Add call_rendering_hooks to pusht env
SimxarmEnv inherites from AbstractEnv (NOT TESTED)
Add aloha tests artifacts + update pusht stats
fix image normalization: before env was in [0,1] but dataset in [0,255], and now both in [0,255]
Small fix on simxarm
Add next to obs
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
2024-03-08 17:47:39 +08:00
|
|
|
|
2024-03-21 18:18:50 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "markdown"
|
|
|
|
|
version = "3.6"
|
|
|
|
|
description = "Python implementation of John Gruber's Markdown."
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.8"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "Markdown-3.6-py3-none-any.whl", hash = "sha256:48f276f4d8cfb8ce6527c8f79e2ee29708508bf4d40aa410fbc3b4ee832c850f"},
|
|
|
|
|
{file = "Markdown-3.6.tar.gz", hash = "sha256:ed4f41f6daecbeeb96e576ce414c41d2d876daa9a16cb35fa8ed8c2ddfad0224"},
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.extras]
|
|
|
|
|
docs = ["mdx-gh-links (>=0.2)", "mkdocs (>=1.5)", "mkdocs-gen-files", "mkdocs-literate-nav", "mkdocs-nature (>=0.6)", "mkdocs-section-index", "mkdocstrings[python]"]
|
|
|
|
|
testing = ["coverage", "pyyaml"]
|
|
|
|
|
|
2024-02-29 02:11:29 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "markupsafe"
|
|
|
|
|
version = "2.1.5"
|
|
|
|
|
description = "Safely add untrusted strings to HTML/XML markup."
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.7"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "MarkupSafe-2.1.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a17a92de5231666cfbe003f0e4b9b3a7ae3afb1ec2845aadc2bacc93ff85febc"},
|
|
|
|
|
{file = "MarkupSafe-2.1.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:72b6be590cc35924b02c78ef34b467da4ba07e4e0f0454a2c5907f473fc50ce5"},
|
|
|
|
|
{file = "MarkupSafe-2.1.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e61659ba32cf2cf1481e575d0462554625196a1f2fc06a1c777d3f48e8865d46"},
|
|
|
|
|
{file = "MarkupSafe-2.1.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2174c595a0d73a3080ca3257b40096db99799265e1c27cc5a610743acd86d62f"},
|
|
|
|
|
{file = "MarkupSafe-2.1.5-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ae2ad8ae6ebee9d2d94b17fb62763125f3f374c25618198f40cbb8b525411900"},
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{file = "MarkupSafe-2.1.5-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:075202fa5b72c86ad32dc7d0b56024ebdbcf2048c0ba09f1cde31bfdd57bcfff"},
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|
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{file = "MarkupSafe-2.1.5-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:598e3276b64aff0e7b3451b72e94fa3c238d452e7ddcd893c3ab324717456bad"},
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|
|
|
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{file = "MarkupSafe-2.1.5-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:fce659a462a1be54d2ffcacea5e3ba2d74daa74f30f5f143fe0c58636e355fdd"},
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{file = "MarkupSafe-2.1.5-cp310-cp310-win32.whl", hash = "sha256:d9fad5155d72433c921b782e58892377c44bd6252b5af2f67f16b194987338a4"},
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{file = "MarkupSafe-2.1.5-cp310-cp310-win_amd64.whl", hash = "sha256:bf50cd79a75d181c9181df03572cdce0fbb75cc353bc350712073108cba98de5"},
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{file = "MarkupSafe-2.1.5-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:629ddd2ca402ae6dbedfceeba9c46d5f7b2a61d9749597d4307f943ef198fc1f"},
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{file = "MarkupSafe-2.1.5-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:5b7b716f97b52c5a14bffdf688f971b2d5ef4029127f1ad7a513973cfd818df2"},
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{file = "MarkupSafe-2.1.5-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6ec585f69cec0aa07d945b20805be741395e28ac1627333b1c5b0105962ffced"},
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{file = "MarkupSafe-2.1.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b91c037585eba9095565a3556f611e3cbfaa42ca1e865f7b8015fe5c7336d5a5"},
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{file = "MarkupSafe-2.1.5-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7502934a33b54030eaf1194c21c692a534196063db72176b0c4028e140f8f32c"},
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{file = "MarkupSafe-2.1.5-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:0e397ac966fdf721b2c528cf028494e86172b4feba51d65f81ffd65c63798f3f"},
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{file = "MarkupSafe-2.1.5-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:c061bb86a71b42465156a3ee7bd58c8c2ceacdbeb95d05a99893e08b8467359a"},
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{file = "MarkupSafe-2.1.5-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:3a57fdd7ce31c7ff06cdfbf31dafa96cc533c21e443d57f5b1ecc6cdc668ec7f"},
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{file = "MarkupSafe-2.1.5-cp311-cp311-win32.whl", hash = "sha256:397081c1a0bfb5124355710fe79478cdbeb39626492b15d399526ae53422b906"},
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{file = "MarkupSafe-2.1.5-cp311-cp311-win_amd64.whl", hash = "sha256:2b7c57a4dfc4f16f7142221afe5ba4e093e09e728ca65c51f5620c9aaeb9a617"},
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{file = "MarkupSafe-2.1.5-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:8dec4936e9c3100156f8a2dc89c4b88d5c435175ff03413b443469c7c8c5f4d1"},
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{file = "MarkupSafe-2.1.5-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:3c6b973f22eb18a789b1460b4b91bf04ae3f0c4234a0a6aa6b0a92f6f7b951d4"},
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{file = "MarkupSafe-2.1.5-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ac07bad82163452a6884fe8fa0963fb98c2346ba78d779ec06bd7a6262132aee"},
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{file = "MarkupSafe-2.1.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f5dfb42c4604dddc8e4305050aa6deb084540643ed5804d7455b5df8fe16f5e5"},
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{file = "MarkupSafe-2.1.5-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ea3d8a3d18833cf4304cd2fc9cbb1efe188ca9b5efef2bdac7adc20594a0e46b"},
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{file = "MarkupSafe-2.1.5-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:d050b3361367a06d752db6ead6e7edeb0009be66bc3bae0ee9d97fb326badc2a"},
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{file = "MarkupSafe-2.1.5-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:bec0a414d016ac1a18862a519e54b2fd0fc8bbfd6890376898a6c0891dd82e9f"},
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{file = "MarkupSafe-2.1.5-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:58c98fee265677f63a4385256a6d7683ab1832f3ddd1e66fe948d5880c21a169"},
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{file = "MarkupSafe-2.1.5-cp312-cp312-win32.whl", hash = "sha256:8590b4ae07a35970728874632fed7bd57b26b0102df2d2b233b6d9d82f6c62ad"},
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{file = "MarkupSafe-2.1.5-cp312-cp312-win_amd64.whl", hash = "sha256:823b65d8706e32ad2df51ed89496147a42a2a6e01c13cfb6ffb8b1e92bc910bb"},
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{file = "MarkupSafe-2.1.5-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:c8b29db45f8fe46ad280a7294f5c3ec36dbac9491f2d1c17345be8e69cc5928f"},
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{file = "MarkupSafe-2.1.5-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ec6a563cff360b50eed26f13adc43e61bc0c04d94b8be985e6fb24b81f6dcfdf"},
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{file = "MarkupSafe-2.1.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a549b9c31bec33820e885335b451286e2969a2d9e24879f83fe904a5ce59d70a"},
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{file = "MarkupSafe-2.1.5-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4f11aa001c540f62c6166c7726f71f7573b52c68c31f014c25cc7901deea0b52"},
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{file = "MarkupSafe-2.1.5-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:7b2e5a267c855eea6b4283940daa6e88a285f5f2a67f2220203786dfa59b37e9"},
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{file = "MarkupSafe-2.1.5-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:2d2d793e36e230fd32babe143b04cec8a8b3eb8a3122d2aceb4a371e6b09b8df"},
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{file = "MarkupSafe-2.1.5-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:ce409136744f6521e39fd8e2a24c53fa18ad67aa5bc7c2cf83645cce5b5c4e50"},
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{file = "MarkupSafe-2.1.5-cp37-cp37m-win32.whl", hash = "sha256:4096e9de5c6fdf43fb4f04c26fb114f61ef0bf2e5604b6ee3019d51b69e8c371"},
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{file = "MarkupSafe-2.1.5-cp37-cp37m-win_amd64.whl", hash = "sha256:4275d846e41ecefa46e2015117a9f491e57a71ddd59bbead77e904dc02b1bed2"},
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{file = "MarkupSafe-2.1.5-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:656f7526c69fac7f600bd1f400991cc282b417d17539a1b228617081106feb4a"},
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{file = "MarkupSafe-2.1.5-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:97cafb1f3cbcd3fd2b6fbfb99ae11cdb14deea0736fc2b0952ee177f2b813a46"},
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{file = "MarkupSafe-2.1.5-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1f3fbcb7ef1f16e48246f704ab79d79da8a46891e2da03f8783a5b6fa41a9532"},
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{file = "MarkupSafe-2.1.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fa9db3f79de01457b03d4f01b34cf91bc0048eb2c3846ff26f66687c2f6d16ab"},
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{file = "MarkupSafe-2.1.5-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ffee1f21e5ef0d712f9033568f8344d5da8cc2869dbd08d87c84656e6a2d2f68"},
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{file = "MarkupSafe-2.1.5-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:5dedb4db619ba5a2787a94d877bc8ffc0566f92a01c0ef214865e54ecc9ee5e0"},
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{file = "MarkupSafe-2.1.5-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:30b600cf0a7ac9234b2638fbc0fb6158ba5bdcdf46aeb631ead21248b9affbc4"},
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{file = "MarkupSafe-2.1.5-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:8dd717634f5a044f860435c1d8c16a270ddf0ef8588d4887037c5028b859b0c3"},
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{file = "MarkupSafe-2.1.5-cp38-cp38-win32.whl", hash = "sha256:daa4ee5a243f0f20d528d939d06670a298dd39b1ad5f8a72a4275124a7819eff"},
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{file = "MarkupSafe-2.1.5-cp38-cp38-win_amd64.whl", hash = "sha256:619bc166c4f2de5caa5a633b8b7326fbe98e0ccbfacabd87268a2b15ff73a029"},
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{file = "MarkupSafe-2.1.5-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:7a68b554d356a91cce1236aa7682dc01df0edba8d043fd1ce607c49dd3c1edcf"},
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{file = "MarkupSafe-2.1.5-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:db0b55e0f3cc0be60c1f19efdde9a637c32740486004f20d1cff53c3c0ece4d2"},
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{file = "MarkupSafe-2.1.5-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3e53af139f8579a6d5f7b76549125f0d94d7e630761a2111bc431fd820e163b8"},
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{file = "MarkupSafe-2.1.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:17b950fccb810b3293638215058e432159d2b71005c74371d784862b7e4683f3"},
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|
{file = "MarkupSafe-2.1.5-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4c31f53cdae6ecfa91a77820e8b151dba54ab528ba65dfd235c80b086d68a465"},
|
|
|
|
|
{file = "MarkupSafe-2.1.5-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:bff1b4290a66b490a2f4719358c0cdcd9bafb6b8f061e45c7a2460866bf50c2e"},
|
|
|
|
|
{file = "MarkupSafe-2.1.5-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:bc1667f8b83f48511b94671e0e441401371dfd0f0a795c7daa4a3cd1dde55bea"},
|
|
|
|
|
{file = "MarkupSafe-2.1.5-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:5049256f536511ee3f7e1b3f87d1d1209d327e818e6ae1365e8653d7e3abb6a6"},
|
|
|
|
|
{file = "MarkupSafe-2.1.5-cp39-cp39-win32.whl", hash = "sha256:00e046b6dd71aa03a41079792f8473dc494d564611a8f89bbbd7cb93295ebdcf"},
|
|
|
|
|
{file = "MarkupSafe-2.1.5-cp39-cp39-win_amd64.whl", hash = "sha256:fa173ec60341d6bb97a89f5ea19c85c5643c1e7dedebc22f5181eb73573142c5"},
|
|
|
|
|
{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"
|
|
|
|
|
description = "Python library for arbitrary-precision floating-point arithmetic"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = "*"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "mpmath-1.3.0-py3-none-any.whl", hash = "sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c"},
|
|
|
|
|
{file = "mpmath-1.3.0.tar.gz", hash = "sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f"},
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.extras]
|
|
|
|
|
develop = ["codecov", "pycodestyle", "pytest (>=4.6)", "pytest-cov", "wheel"]
|
|
|
|
|
docs = ["sphinx"]
|
|
|
|
|
gmpy = ["gmpy2 (>=2.1.0a4)"]
|
|
|
|
|
tests = ["pytest (>=4.6)"]
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "mujoco"
|
Add Aloha env and ACT policy
WIP Aloha env tests pass
Rendering works (fps look fast tho? TODO action bounding is too wide [-1,1])
Update README
Copy past from act repo
Remove download.py add a WIP for Simxarm
Remove download.py add a WIP for Simxarm
Add act yaml (TODO: try train.py)
Training can runs (TODO: eval)
Add tasks without end_effector that are compatible with dataset, Eval can run (TODO: training and pretrained model)
Add AbstractEnv, Refactor AlohaEnv, Add rendering_hook in env, Minor modifications, (TODO: Refactor Pusht and Simxarm)
poetry lock
fix bug in compute_stats for action normalization
fix more bugs in normalization
fix training
fix import
PushtEnv inheriates AbstractEnv, Improve factory Normalization
Add _make_env to EnvAbstract
Add call_rendering_hooks to pusht env
SimxarmEnv inherites from AbstractEnv (NOT TESTED)
Add aloha tests artifacts + update pusht stats
fix image normalization: before env was in [0,1] but dataset in [0,255], and now both in [0,255]
Small fix on simxarm
Add next to obs
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
2024-03-08 17:47:39 +08:00
|
|
|
version = "2.3.7"
|
2024-02-29 02:11:29 +08:00
|
|
|
description = "MuJoCo Physics Simulator"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.8"
|
|
|
|
|
files = [
|
Add Aloha env and ACT policy
WIP Aloha env tests pass
Rendering works (fps look fast tho? TODO action bounding is too wide [-1,1])
Update README
Copy past from act repo
Remove download.py add a WIP for Simxarm
Remove download.py add a WIP for Simxarm
Add act yaml (TODO: try train.py)
Training can runs (TODO: eval)
Add tasks without end_effector that are compatible with dataset, Eval can run (TODO: training and pretrained model)
Add AbstractEnv, Refactor AlohaEnv, Add rendering_hook in env, Minor modifications, (TODO: Refactor Pusht and Simxarm)
poetry lock
fix bug in compute_stats for action normalization
fix more bugs in normalization
fix training
fix import
PushtEnv inheriates AbstractEnv, Improve factory Normalization
Add _make_env to EnvAbstract
Add call_rendering_hooks to pusht env
SimxarmEnv inherites from AbstractEnv (NOT TESTED)
Add aloha tests artifacts + update pusht stats
fix image normalization: before env was in [0,1] but dataset in [0,255], and now both in [0,255]
Small fix on simxarm
Add next to obs
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
2024-03-08 17:47:39 +08:00
|
|
|
{file = "mujoco-2.3.7-cp310-cp310-macosx_10_16_x86_64.whl", hash = "sha256:e8714a5ff6a1561b364b7b4648d4c0c8d13e751874cf7401c309b9d23fa9598b"},
|
|
|
|
|
{file = "mujoco-2.3.7-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a934315f858a4e0c4b90a682fde519471cfdd7baa64435179da8cd20d4ae3f99"},
|
|
|
|
|
{file = "mujoco-2.3.7-cp310-cp310-macosx_11_0_x86_64.whl", hash = "sha256:36513024330f88b5f9a43558efef5692b33599bffd5141029b690a27918ffcbe"},
|
|
|
|
|
{file = "mujoco-2.3.7-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6d4eede8ba8210fbd3d3cd1dbf69e24dd1541aa74c5af5b8adbbbf65504b6dba"},
|
|
|
|
|
{file = "mujoco-2.3.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ab85fafc9d5a091c712947573b7e694512d283876bf7f33ae3f8daad3a20c0db"},
|
|
|
|
|
{file = "mujoco-2.3.7-cp310-cp310-win_amd64.whl", hash = "sha256:f8b7e13fef8c813d91b78f975ed0815157692777907ffa4b4be53a4edb75019b"},
|
|
|
|
|
{file = "mujoco-2.3.7-cp311-cp311-macosx_10_16_x86_64.whl", hash = "sha256:779520216f72a8e370e3f0cdd71b45c3b7384c63331a3189194c930a3e7cff5c"},
|
|
|
|
|
{file = "mujoco-2.3.7-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:9d4018053879016282d27ab7a91e292c72d44efb5a88553feacfe5b843dde103"},
|
|
|
|
|
{file = "mujoco-2.3.7-cp311-cp311-macosx_11_0_x86_64.whl", hash = "sha256:3149b16b8122ee62642474bfd2871064e8edc40235471cf5d84be3569afc0312"},
|
|
|
|
|
{file = "mujoco-2.3.7-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c08660a8d52ef3efde76095f0991e807703a950c1e882d2bcd984b9a846626f7"},
|
|
|
|
|
{file = "mujoco-2.3.7-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:426af8965f8636d94a0f75740c3024a62b3e585020ee817ef5208ec844a1ad94"},
|
|
|
|
|
{file = "mujoco-2.3.7-cp311-cp311-win_amd64.whl", hash = "sha256:215415a8e98a4b50625beae859079d5e0810b2039e50420f0ba81763c34abb59"},
|
|
|
|
|
{file = "mujoco-2.3.7-cp38-cp38-macosx_10_16_x86_64.whl", hash = "sha256:8b78d14f4c60cea3c58e046bd4de453fb5b9b33aca6a25fc91d39a53f3a5342a"},
|
|
|
|
|
{file = "mujoco-2.3.7-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:5c6f5a51d6f537a4bf294cf73816f3a6384573f8f10a5452b044df2771412a96"},
|
|
|
|
|
{file = "mujoco-2.3.7-cp38-cp38-macosx_11_0_x86_64.whl", hash = "sha256:ea8911e6047f92d7d775701f37e4c093971b6def3160f01d0b6926e29a7e962e"},
|
|
|
|
|
{file = "mujoco-2.3.7-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7473a3de4dd1a8762d569ffb139196b4c5e7eca27d256df97b6cd4c66d2a09b2"},
|
|
|
|
|
{file = "mujoco-2.3.7-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:40e7e2d8f93d2495ec74efec84e5118ecc6e1d85157a844789c73c9ac9a4e28e"},
|
|
|
|
|
{file = "mujoco-2.3.7-cp38-cp38-win_amd64.whl", hash = "sha256:720bc228a2023b3b0ed6af78f5b0f8ea36867be321d473321555c57dbf6e4e5b"},
|
|
|
|
|
{file = "mujoco-2.3.7-cp39-cp39-macosx_10_16_x86_64.whl", hash = "sha256:855e79686366442aa410246043b44f7d842d3900d68fe7e37feb42147db9d707"},
|
|
|
|
|
{file = "mujoco-2.3.7-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:98947f4a742d34d36f3c3f83e9167025bb0414bbaa4bd859b0673bdab9959963"},
|
|
|
|
|
{file = "mujoco-2.3.7-cp39-cp39-macosx_11_0_x86_64.whl", hash = "sha256:d42818f2ee5d1632dbce31d136ed5ff868db54b04e4e9aca0c5a3ac329f8a90f"},
|
|
|
|
|
{file = "mujoco-2.3.7-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9237e1ba14bced9449c31199e6d5be49547f3a4c99bc83b196af7ca45fd73b83"},
|
|
|
|
|
{file = "mujoco-2.3.7-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:39b728ea638245b150e2650c5433e6952e0ed3798c63e47e264574270caea2a3"},
|
|
|
|
|
{file = "mujoco-2.3.7-cp39-cp39-win_amd64.whl", hash = "sha256:9c721a5042b99d948d5f0296a534bcce3f142c777c4d7642f503a539513f3912"},
|
|
|
|
|
{file = "mujoco-2.3.7.tar.gz", hash = "sha256:422041f1ce37c6d151fbced1048df626837e94fe3cd9f813585907046336a7d0"},
|
2024-02-29 02:11:29 +08:00
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.dependencies]
|
|
|
|
|
absl-py = "*"
|
|
|
|
|
glfw = "*"
|
|
|
|
|
numpy = "*"
|
|
|
|
|
pyopengl = "*"
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "networkx"
|
|
|
|
|
version = "3.2.1"
|
|
|
|
|
description = "Python package for creating and manipulating graphs and networks"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.9"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "networkx-3.2.1-py3-none-any.whl", hash = "sha256:f18c69adc97877c42332c170849c96cefa91881c99a7cb3e95b7c659ebdc1ec2"},
|
|
|
|
|
{file = "networkx-3.2.1.tar.gz", hash = "sha256:9f1bb5cf3409bf324e0a722c20bdb4c20ee39bf1c30ce8ae499c8502b0b5e0c6"},
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.extras]
|
|
|
|
|
default = ["matplotlib (>=3.5)", "numpy (>=1.22)", "pandas (>=1.4)", "scipy (>=1.9,!=1.11.0,!=1.11.1)"]
|
|
|
|
|
developer = ["changelist (==0.4)", "mypy (>=1.1)", "pre-commit (>=3.2)", "rtoml"]
|
|
|
|
|
doc = ["nb2plots (>=0.7)", "nbconvert (<7.9)", "numpydoc (>=1.6)", "pillow (>=9.4)", "pydata-sphinx-theme (>=0.14)", "sphinx (>=7)", "sphinx-gallery (>=0.14)", "texext (>=0.6.7)"]
|
|
|
|
|
extra = ["lxml (>=4.6)", "pydot (>=1.4.2)", "pygraphviz (>=1.11)", "sympy (>=1.10)"]
|
|
|
|
|
test = ["pytest (>=7.2)", "pytest-cov (>=4.0)"]
|
|
|
|
|
|
2024-02-29 19:26:35 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "nodeenv"
|
|
|
|
|
version = "1.8.0"
|
|
|
|
|
description = "Node.js virtual environment builder"
|
|
|
|
|
optional = false
|
|
|
|
|
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"},
|
|
|
|
|
{file = "nodeenv-1.8.0.tar.gz", hash = "sha256:d51e0c37e64fbf47d017feac3145cdbb58836d7eee8c6f6d3b6880c5456227d2"},
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.dependencies]
|
|
|
|
|
setuptools = "*"
|
|
|
|
|
|
2024-02-29 02:11:29 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "numba"
|
2024-03-20 17:45:45 +08:00
|
|
|
version = "0.59.1"
|
2024-02-29 02:11:29 +08:00
|
|
|
description = "compiling Python code using LLVM"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.9"
|
|
|
|
|
files = [
|
2024-03-20 17:45:45 +08:00
|
|
|
{file = "numba-0.59.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:97385a7f12212c4f4bc28f648720a92514bee79d7063e40ef66c2d30600fd18e"},
|
|
|
|
|
{file = "numba-0.59.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:0b77aecf52040de2a1eb1d7e314497b9e56fba17466c80b457b971a25bb1576d"},
|
|
|
|
|
{file = "numba-0.59.1-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:3476a4f641bfd58f35ead42f4dcaf5f132569c4647c6f1360ccf18ee4cda3990"},
|
|
|
|
|
{file = "numba-0.59.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:525ef3f820931bdae95ee5379c670d5c97289c6520726bc6937a4a7d4230ba24"},
|
|
|
|
|
{file = "numba-0.59.1-cp310-cp310-win_amd64.whl", hash = "sha256:990e395e44d192a12105eca3083b61307db7da10e093972ca285c85bef0963d6"},
|
|
|
|
|
{file = "numba-0.59.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:43727e7ad20b3ec23ee4fc642f5b61845c71f75dd2825b3c234390c6d8d64051"},
|
|
|
|
|
{file = "numba-0.59.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:411df625372c77959570050e861981e9d196cc1da9aa62c3d6a836b5cc338966"},
|
|
|
|
|
{file = "numba-0.59.1-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:2801003caa263d1e8497fb84829a7ecfb61738a95f62bc05693fcf1733e978e4"},
|
|
|
|
|
{file = "numba-0.59.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:dd2842fac03be4e5324ebbbd4d2d0c8c0fc6e0df75c09477dd45b288a0777389"},
|
|
|
|
|
{file = "numba-0.59.1-cp311-cp311-win_amd64.whl", hash = "sha256:0594b3dfb369fada1f8bb2e3045cd6c61a564c62e50cf1f86b4666bc721b3450"},
|
|
|
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[[package]]
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description = "A Python package providing buffer compression and transformation codecs for use in data storage and communication applications."
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[package.dependencies]
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[package.extras]
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{file = "nvidia_cuda_cupti_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:bea8236d13a0ac7190bd2919c3e8e6ce1e402104276e6f9694479e48bb0eb2a4"},
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "nvidia-cuda-nvrtc-cu12"
|
|
|
|
|
version = "12.1.105"
|
|
|
|
|
description = "NVRTC native runtime libraries"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:339b385f50c309763ca65456ec75e17bbefcbbf2893f462cb8b90584cd27a1c2"},
|
|
|
|
|
{file = "nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:0a98a522d9ff138b96c010a65e145dc1b4850e9ecb75a0172371793752fd46ed"},
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "nvidia-cuda-runtime-cu12"
|
|
|
|
|
version = "12.1.105"
|
|
|
|
|
description = "CUDA Runtime native Libraries"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:6e258468ddf5796e25f1dc591a31029fa317d97a0a94ed93468fc86301d61e40"},
|
|
|
|
|
{file = "nvidia_cuda_runtime_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:dfb46ef84d73fababab44cf03e3b83f80700d27ca300e537f85f636fac474344"},
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "nvidia-cudnn-cu12"
|
|
|
|
|
version = "8.9.2.26"
|
|
|
|
|
description = "cuDNN runtime libraries"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl", hash = "sha256:5ccb288774fdfb07a7e7025ffec286971c06d8d7b4fb162525334616d7629ff9"},
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.dependencies]
|
|
|
|
|
nvidia-cublas-cu12 = "*"
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "nvidia-cufft-cu12"
|
|
|
|
|
version = "11.0.2.54"
|
|
|
|
|
description = "CUFFT native runtime libraries"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl", hash = "sha256:794e3948a1aa71fd817c3775866943936774d1c14e7628c74f6f7417224cdf56"},
|
|
|
|
|
{file = "nvidia_cufft_cu12-11.0.2.54-py3-none-win_amd64.whl", hash = "sha256:d9ac353f78ff89951da4af698f80870b1534ed69993f10a4cf1d96f21357e253"},
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "nvidia-curand-cu12"
|
|
|
|
|
version = "10.3.2.106"
|
|
|
|
|
description = "CURAND native runtime libraries"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:9d264c5036dde4e64f1de8c50ae753237c12e0b1348738169cd0f8a536c0e1e0"},
|
|
|
|
|
{file = "nvidia_curand_cu12-10.3.2.106-py3-none-win_amd64.whl", hash = "sha256:75b6b0c574c0037839121317e17fd01f8a69fd2ef8e25853d826fec30bdba74a"},
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "nvidia-cusolver-cu12"
|
|
|
|
|
version = "11.4.5.107"
|
|
|
|
|
description = "CUDA solver native runtime libraries"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl", hash = "sha256:8a7ec542f0412294b15072fa7dab71d31334014a69f953004ea7a118206fe0dd"},
|
|
|
|
|
{file = "nvidia_cusolver_cu12-11.4.5.107-py3-none-win_amd64.whl", hash = "sha256:74e0c3a24c78612192a74fcd90dd117f1cf21dea4822e66d89e8ea80e3cd2da5"},
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.dependencies]
|
|
|
|
|
nvidia-cublas-cu12 = "*"
|
|
|
|
|
nvidia-cusparse-cu12 = "*"
|
|
|
|
|
nvidia-nvjitlink-cu12 = "*"
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "nvidia-cusparse-cu12"
|
|
|
|
|
version = "12.1.0.106"
|
|
|
|
|
description = "CUSPARSE native runtime libraries"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:f3b50f42cf363f86ab21f720998517a659a48131e8d538dc02f8768237bd884c"},
|
|
|
|
|
{file = "nvidia_cusparse_cu12-12.1.0.106-py3-none-win_amd64.whl", hash = "sha256:b798237e81b9719373e8fae8d4f091b70a0cf09d9d85c95a557e11df2d8e9a5a"},
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.dependencies]
|
|
|
|
|
nvidia-nvjitlink-cu12 = "*"
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "nvidia-nccl-cu12"
|
|
|
|
|
version = "2.19.3"
|
|
|
|
|
description = "NVIDIA Collective Communication Library (NCCL) Runtime"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "nvidia_nccl_cu12-2.19.3-py3-none-manylinux1_x86_64.whl", hash = "sha256:a9734707a2c96443331c1e48c717024aa6678a0e2a4cb66b2c364d18cee6b48d"},
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "nvidia-nvjitlink-cu12"
|
2024-04-05 18:41:11 +08:00
|
|
|
version = "12.4.127"
|
2024-02-29 02:11:29 +08:00
|
|
|
description = "Nvidia JIT LTO Library"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3"
|
|
|
|
|
files = [
|
2024-04-05 18:41:11 +08:00
|
|
|
{file = "nvidia_nvjitlink_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl", hash = "sha256:06b3b9b25bf3f8af351d664978ca26a16d2c5127dbd53c0497e28d1fb9611d57"},
|
|
|
|
|
{file = "nvidia_nvjitlink_cu12-12.4.127-py3-none-win_amd64.whl", hash = "sha256:fd9020c501d27d135f983c6d3e244b197a7ccad769e34df53a42e276b0e25fa1"},
|
2024-02-29 02:11:29 +08:00
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "nvidia-nvtx-cu12"
|
|
|
|
|
version = "12.1.105"
|
|
|
|
|
description = "NVIDIA Tools Extension"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:dc21cf308ca5691e7c04d962e213f8a4aa9bbfa23d95412f452254c2caeb09e5"},
|
|
|
|
|
{file = "nvidia_nvtx_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:65f4d98982b31b60026e0e6de73fbdfc09d08a96f4656dd3665ca616a11e1e82"},
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "omegaconf"
|
|
|
|
|
version = "2.3.0"
|
|
|
|
|
description = "A flexible configuration library"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.6"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "omegaconf-2.3.0-py3-none-any.whl", hash = "sha256:7b4df175cdb08ba400f45cae3bdcae7ba8365db4d165fc65fd04b050ab63b46b"},
|
|
|
|
|
{file = "omegaconf-2.3.0.tar.gz", hash = "sha256:d5d4b6d29955cc50ad50c46dc269bcd92c6e00f5f90d23ab5fee7bfca4ba4cc7"},
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.dependencies]
|
|
|
|
|
antlr4-python3-runtime = "==4.9.*"
|
|
|
|
|
PyYAML = ">=5.1.0"
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "opencv-python"
|
|
|
|
|
version = "4.9.0.80"
|
|
|
|
|
description = "Wrapper package for OpenCV python bindings."
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.6"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "opencv-python-4.9.0.80.tar.gz", hash = "sha256:1a9f0e6267de3a1a1db0c54213d022c7c8b5b9ca4b580e80bdc58516c922c9e1"},
|
|
|
|
|
{file = "opencv_python-4.9.0.80-cp37-abi3-macosx_10_16_x86_64.whl", hash = "sha256:7e5f7aa4486651a6ebfa8ed4b594b65bd2d2f41beeb4241a3e4b1b85acbbbadb"},
|
|
|
|
|
{file = "opencv_python-4.9.0.80-cp37-abi3-macosx_11_0_arm64.whl", hash = "sha256:71dfb9555ccccdd77305fc3dcca5897fbf0cf28b297c51ee55e079c065d812a3"},
|
|
|
|
|
{file = "opencv_python-4.9.0.80-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7b34a52e9da36dda8c151c6394aed602e4b17fa041df0b9f5b93ae10b0fcca2a"},
|
|
|
|
|
{file = "opencv_python-4.9.0.80-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e4088cab82b66a3b37ffc452976b14a3c599269c247895ae9ceb4066d8188a57"},
|
|
|
|
|
{file = "opencv_python-4.9.0.80-cp37-abi3-win32.whl", hash = "sha256:dcf000c36dd1651118a2462257e3a9e76db789a78432e1f303c7bac54f63ef6c"},
|
|
|
|
|
{file = "opencv_python-4.9.0.80-cp37-abi3-win_amd64.whl", hash = "sha256:3f16f08e02b2a2da44259c7cc712e779eff1dd8b55fdb0323e8cab09548086c0"},
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.dependencies]
|
|
|
|
|
numpy = [
|
|
|
|
|
{version = ">=1.26.0", markers = "python_version >= \"3.12\""},
|
|
|
|
|
{version = ">=1.23.5", markers = "python_version >= \"3.11\" and python_version < \"3.12\""},
|
|
|
|
|
{version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\" and python_version < \"3.11\""},
|
|
|
|
|
{version = ">=1.21.2", markers = "platform_system != \"Darwin\" and python_version >= \"3.10\" and python_version < \"3.11\""},
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "packaging"
|
Add Aloha env and ACT policy
WIP Aloha env tests pass
Rendering works (fps look fast tho? TODO action bounding is too wide [-1,1])
Update README
Copy past from act repo
Remove download.py add a WIP for Simxarm
Remove download.py add a WIP for Simxarm
Add act yaml (TODO: try train.py)
Training can runs (TODO: eval)
Add tasks without end_effector that are compatible with dataset, Eval can run (TODO: training and pretrained model)
Add AbstractEnv, Refactor AlohaEnv, Add rendering_hook in env, Minor modifications, (TODO: Refactor Pusht and Simxarm)
poetry lock
fix bug in compute_stats for action normalization
fix more bugs in normalization
fix training
fix import
PushtEnv inheriates AbstractEnv, Improve factory Normalization
Add _make_env to EnvAbstract
Add call_rendering_hooks to pusht env
SimxarmEnv inherites from AbstractEnv (NOT TESTED)
Add aloha tests artifacts + update pusht stats
fix image normalization: before env was in [0,1] but dataset in [0,255], and now both in [0,255]
Small fix on simxarm
Add next to obs
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
2024-03-08 17:47:39 +08:00
|
|
|
version = "24.0"
|
2024-02-29 02:11:29 +08:00
|
|
|
description = "Core utilities for Python packages"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.7"
|
|
|
|
|
files = [
|
Add Aloha env and ACT policy
WIP Aloha env tests pass
Rendering works (fps look fast tho? TODO action bounding is too wide [-1,1])
Update README
Copy past from act repo
Remove download.py add a WIP for Simxarm
Remove download.py add a WIP for Simxarm
Add act yaml (TODO: try train.py)
Training can runs (TODO: eval)
Add tasks without end_effector that are compatible with dataset, Eval can run (TODO: training and pretrained model)
Add AbstractEnv, Refactor AlohaEnv, Add rendering_hook in env, Minor modifications, (TODO: Refactor Pusht and Simxarm)
poetry lock
fix bug in compute_stats for action normalization
fix more bugs in normalization
fix training
fix import
PushtEnv inheriates AbstractEnv, Improve factory Normalization
Add _make_env to EnvAbstract
Add call_rendering_hooks to pusht env
SimxarmEnv inherites from AbstractEnv (NOT TESTED)
Add aloha tests artifacts + update pusht stats
fix image normalization: before env was in [0,1] but dataset in [0,255], and now both in [0,255]
Small fix on simxarm
Add next to obs
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
2024-03-08 17:47:39 +08:00
|
|
|
{file = "packaging-24.0-py3-none-any.whl", hash = "sha256:2ddfb553fdf02fb784c234c7ba6ccc288296ceabec964ad2eae3777778130bc5"},
|
|
|
|
|
{file = "packaging-24.0.tar.gz", hash = "sha256:eb82c5e3e56209074766e6885bb04b8c38a0c015d0a30036ebe7ece34c9989e9"},
|
2024-02-29 02:11:29 +08:00
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "pandas"
|
|
|
|
|
version = "2.2.1"
|
|
|
|
|
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"},
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{file = "pandas-2.2.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:101d0eb9c5361aa0146f500773395a03839a5e6ecde4d4b6ced88b7e5a1a6403"},
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{file = "pandas-2.2.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:7d2ed41c319c9fb4fd454fe25372028dfa417aacb9790f68171b2e3f06eae8cd"},
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{file = "pandas-2.2.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:af5d3c00557d657c8773ef9ee702c61dd13b9d7426794c9dfeb1dc4a0bf0ebc7"},
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{file = "pandas-2.2.1-cp311-cp311-win_amd64.whl", hash = "sha256:06cf591dbaefb6da9de8472535b185cba556d0ce2e6ed28e21d919704fef1a9e"},
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{file = "pandas-2.2.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:04f6ec3baec203c13e3f8b139fb0f9f86cd8c0b94603ae3ae8ce9a422e9f5bee"},
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{file = "pandas-2.2.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a935a90a76c44fe170d01e90a3594beef9e9a6220021acfb26053d01426f7dc2"},
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{file = "pandas-2.2.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c391f594aae2fd9f679d419e9a4d5ba4bce5bb13f6a989195656e7dc4b95c8f0"},
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{file = "pandas-2.2.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:9d1265545f579edf3f8f0cb6f89f234f5e44ba725a34d86535b1a1d38decbccc"},
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{file = "pandas-2.2.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:11940e9e3056576ac3244baef2fedade891977bcc1cb7e5cc8f8cc7d603edc89"},
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{file = "pandas-2.2.1-cp312-cp312-win_amd64.whl", hash = "sha256:4acf681325ee1c7f950d058b05a820441075b0dd9a2adf5c4835b9bc056bf4fb"},
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{file = "pandas-2.2.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:9bd8a40f47080825af4317d0340c656744f2bfdb6819f818e6ba3cd24c0e1397"},
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{file = "pandas-2.2.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:df0c37ebd19e11d089ceba66eba59a168242fc6b7155cba4ffffa6eccdfb8f16"},
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{file = "pandas-2.2.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:739cc70eaf17d57608639e74d63387b0d8594ce02f69e7a0b046f117974b3019"},
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{file = "pandas-2.2.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f9d3558d263073ed95e46f4650becff0c5e1ffe0fc3a015de3c79283dfbdb3df"},
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{file = "pandas-2.2.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:4aa1d8707812a658debf03824016bf5ea0d516afdea29b7dc14cf687bc4d4ec6"},
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{file = "pandas-2.2.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:76f27a809cda87e07f192f001d11adc2b930e93a2b0c4a236fde5429527423be"},
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{file = "pandas-2.2.1-cp39-cp39-win_amd64.whl", hash = "sha256:1ba21b1d5c0e43416218db63037dbe1a01fc101dc6e6024bcad08123e48004ab"},
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{file = "pandas-2.2.1.tar.gz", hash = "sha256:0ab90f87093c13f3e8fa45b48ba9f39181046e8f3317d3aadb2fffbb1b978572"},
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|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[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\""},
|
|
|
|
|
]
|
|
|
|
|
python-dateutil = ">=2.8.2"
|
|
|
|
|
pytz = ">=2020.1"
|
|
|
|
|
tzdata = ">=2022.7"
|
|
|
|
|
|
|
|
|
|
[package.extras]
|
|
|
|
|
all = ["PyQt5 (>=5.15.9)", "SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "adbc-driver-sqlite (>=0.8.0)", "beautifulsoup4 (>=4.11.2)", "bottleneck (>=1.3.6)", "dataframe-api-compat (>=0.1.7)", "fastparquet (>=2022.12.0)", "fsspec (>=2022.11.0)", "gcsfs (>=2022.11.0)", "html5lib (>=1.1)", "hypothesis (>=6.46.1)", "jinja2 (>=3.1.2)", "lxml (>=4.9.2)", "matplotlib (>=3.6.3)", "numba (>=0.56.4)", "numexpr (>=2.8.4)", "odfpy (>=1.4.1)", "openpyxl (>=3.1.0)", "pandas-gbq (>=0.19.0)", "psycopg2 (>=2.9.6)", "pyarrow (>=10.0.1)", "pymysql (>=1.0.2)", "pyreadstat (>=1.2.0)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)", "python-calamine (>=0.1.7)", "pyxlsb (>=1.0.10)", "qtpy (>=2.3.0)", "s3fs (>=2022.11.0)", "scipy (>=1.10.0)", "tables (>=3.8.0)", "tabulate (>=0.9.0)", "xarray (>=2022.12.0)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.5)", "zstandard (>=0.19.0)"]
|
|
|
|
|
aws = ["s3fs (>=2022.11.0)"]
|
|
|
|
|
clipboard = ["PyQt5 (>=5.15.9)", "qtpy (>=2.3.0)"]
|
|
|
|
|
compression = ["zstandard (>=0.19.0)"]
|
|
|
|
|
computation = ["scipy (>=1.10.0)", "xarray (>=2022.12.0)"]
|
|
|
|
|
consortium-standard = ["dataframe-api-compat (>=0.1.7)"]
|
|
|
|
|
excel = ["odfpy (>=1.4.1)", "openpyxl (>=3.1.0)", "python-calamine (>=0.1.7)", "pyxlsb (>=1.0.10)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.5)"]
|
|
|
|
|
feather = ["pyarrow (>=10.0.1)"]
|
|
|
|
|
fss = ["fsspec (>=2022.11.0)"]
|
|
|
|
|
gcp = ["gcsfs (>=2022.11.0)", "pandas-gbq (>=0.19.0)"]
|
|
|
|
|
hdf5 = ["tables (>=3.8.0)"]
|
|
|
|
|
html = ["beautifulsoup4 (>=4.11.2)", "html5lib (>=1.1)", "lxml (>=4.9.2)"]
|
|
|
|
|
mysql = ["SQLAlchemy (>=2.0.0)", "pymysql (>=1.0.2)"]
|
|
|
|
|
output-formatting = ["jinja2 (>=3.1.2)", "tabulate (>=0.9.0)"]
|
|
|
|
|
parquet = ["pyarrow (>=10.0.1)"]
|
|
|
|
|
performance = ["bottleneck (>=1.3.6)", "numba (>=0.56.4)", "numexpr (>=2.8.4)"]
|
|
|
|
|
plot = ["matplotlib (>=3.6.3)"]
|
|
|
|
|
postgresql = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "psycopg2 (>=2.9.6)"]
|
|
|
|
|
pyarrow = ["pyarrow (>=10.0.1)"]
|
|
|
|
|
spss = ["pyreadstat (>=1.2.0)"]
|
|
|
|
|
sql-other = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "adbc-driver-sqlite (>=0.8.0)"]
|
|
|
|
|
test = ["hypothesis (>=6.46.1)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)"]
|
|
|
|
|
xml = ["lxml (>=4.9.2)"]
|
|
|
|
|
|
2024-03-25 00:36:22 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "pettingzoo"
|
|
|
|
|
version = "1.24.3"
|
|
|
|
|
description = "Gymnasium for multi-agent reinforcement learning."
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.8"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "pettingzoo-1.24.3-py3-none-any.whl", hash = "sha256:23ed90517d2e8a7098bdaf5e31234b3a7f7b73ca578d70d1ca7b9d0cb0e37982"},
|
|
|
|
|
{file = "pettingzoo-1.24.3.tar.gz", hash = "sha256:91f9094f18e06fb74b98f4099cd22e8ae4396125e51719d50b30c9f1c7ab07e6"},
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.dependencies]
|
|
|
|
|
gymnasium = ">=0.28.0"
|
|
|
|
|
numpy = ">=1.21.0"
|
|
|
|
|
|
|
|
|
|
[package.extras]
|
|
|
|
|
all = ["box2d-py (==2.3.5)", "chess (==1.9.4)", "multi-agent-ale-py (==0.1.11)", "pillow (>=8.0.1)", "pygame (==2.3.0)", "pymunk (==6.2.0)", "rlcard (==1.0.5)", "scipy (>=1.4.1)", "shimmy[openspiel] (>=1.2.0)"]
|
|
|
|
|
atari = ["multi-agent-ale-py (==0.1.11)", "pygame (==2.3.0)"]
|
|
|
|
|
butterfly = ["pygame (==2.3.0)", "pymunk (==6.2.0)"]
|
|
|
|
|
classic = ["chess (==1.9.4)", "pygame (==2.3.0)", "rlcard (==1.0.5)", "shimmy[openspiel] (>=1.2.0)"]
|
|
|
|
|
mpe = ["pygame (==2.3.0)"]
|
|
|
|
|
other = ["pillow (>=8.0.1)"]
|
|
|
|
|
sisl = ["box2d-py (==2.3.5)", "pygame (==2.3.0)", "pymunk (==6.2.0)", "scipy (>=1.4.1)"]
|
|
|
|
|
testing = ["AutoROM", "pre-commit", "pynput", "pytest", "pytest-cov", "pytest-markdown-docs", "pytest-xdist"]
|
|
|
|
|
|
2024-02-29 02:11:29 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "pillow"
|
2024-04-05 18:41:11 +08:00
|
|
|
version = "10.3.0"
|
2024-02-29 02:11:29 +08:00
|
|
|
description = "Python Imaging Library (Fork)"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.8"
|
|
|
|
|
files = [
|
2024-04-05 18:41:11 +08:00
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|
|
{file = "pillow-10.3.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:90b9e29824800e90c84e4022dd5cc16eb2d9605ee13f05d47641eb183cd73d45"},
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{file = "pillow-10.3.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a2c405445c79c3f5a124573a051062300936b0281fee57637e706453e452746c"},
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{file = "pillow-10.3.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:78618cdbccaa74d3f88d0ad6cb8ac3007f1a6fa5c6f19af64b55ca170bfa1edf"},
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{file = "pillow-10.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:261ddb7ca91fcf71757979534fb4c128448b5b4c55cb6152d280312062f69599"},
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{file = "pillow-10.3.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:d33891be6df59d93df4d846640f0e46f1a807339f09e79a8040bc887bdcd7ed3"},
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{file = "pillow-10.3.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:4b5ec25d8b17217d635f8935dbc1b9aa5907962fae29dff220f2659487891cd3"},
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{file = "pillow-10.3.0-cp312-cp312-win32.whl", hash = "sha256:51243f1ed5161b9945011a7360e997729776f6e5d7005ba0c6879267d4c5139d"},
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{file = "pillow-10.3.0-cp312-cp312-win_amd64.whl", hash = "sha256:412444afb8c4c7a6cc11a47dade32982439925537e483be7c0ae0cf96c4f6a0b"},
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2024-02-29 02:11:29 +08:00
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|
|
]
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[package.extras]
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docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinx-removed-in", "sphinxext-opengraph"]
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fpx = ["olefile"]
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mic = ["olefile"]
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tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
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typing = ["typing-extensions"]
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xmp = ["defusedxml"]
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|
2024-02-29 19:26:35 +08:00
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|
|
[[package]]
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|
name = "platformdirs"
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version = "4.2.0"
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description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
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optional = false
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python-versions = ">=3.8"
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files = [
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{file = "platformdirs-4.2.0-py3-none-any.whl", hash = "sha256:0614df2a2f37e1a662acbd8e2b25b92ccf8632929bc6d43467e17fe89c75e068"},
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{file = "platformdirs-4.2.0.tar.gz", hash = "sha256:ef0cc731df711022c174543cb70a9b5bd22e5a9337c8624ef2c2ceb8ddad8768"},
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]
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[package.extras]
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docs = ["furo (>=2023.9.10)", "proselint (>=0.13)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"]
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test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)"]
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|
2024-03-05 23:03:03 +08:00
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|
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[[package]]
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name = "pluggy"
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version = "1.4.0"
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description = "plugin and hook calling mechanisms for python"
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optional = false
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python-versions = ">=3.8"
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files = [
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{file = "pluggy-1.4.0-py3-none-any.whl", hash = "sha256:7db9f7b503d67d1c5b95f59773ebb58a8c1c288129a88665838012cfb07b8981"},
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{file = "pluggy-1.4.0.tar.gz", hash = "sha256:8c85c2876142a764e5b7548e7d9a0e0ddb46f5185161049a79b7e974454223be"},
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]
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[package.extras]
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dev = ["pre-commit", "tox"]
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testing = ["pytest", "pytest-benchmark"]
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|
|
2024-02-29 19:26:35 +08:00
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|
|
[[package]]
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|
name = "pre-commit"
|
2024-04-05 18:41:11 +08:00
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|
|
version = "3.7.0"
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2024-02-29 19:26:35 +08:00
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description = "A framework for managing and maintaining multi-language pre-commit hooks."
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optional = false
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python-versions = ">=3.9"
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files = [
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2024-04-05 18:41:11 +08:00
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{file = "pre_commit-3.7.0-py2.py3-none-any.whl", hash = "sha256:5eae9e10c2b5ac51577c3452ec0a490455c45a0533f7960f993a0d01e59decab"},
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{file = "pre_commit-3.7.0.tar.gz", hash = "sha256:e209d61b8acdcf742404408531f0c37d49d2c734fd7cff2d6076083d191cb060"},
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2024-02-29 19:26:35 +08:00
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]
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[package.dependencies]
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cfgv = ">=2.0.0"
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identify = ">=1.0.0"
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nodeenv = ">=0.11.1"
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pyyaml = ">=5.1"
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virtualenv = ">=20.10.0"
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2024-02-29 02:11:29 +08:00
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[[package]]
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name = "proglog"
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version = "0.1.10"
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description = "Log and progress bar manager for console, notebooks, web..."
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optional = false
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python-versions = "*"
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files = [
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{file = "proglog-0.1.10.tar.gz", hash = "sha256:658c28c9c82e4caeb2f25f488fff9ceace22f8d69b15d0c1c86d64275e4ddab4"},
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]
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[package.dependencies]
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tqdm = "*"
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[[package]]
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name = "protobuf"
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version = "4.25.3"
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description = ""
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optional = false
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python-versions = ">=3.8"
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files = [
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{file = "protobuf-4.25.3-cp39-cp39-win32.whl", hash = "sha256:19b270aeaa0099f16d3ca02628546b8baefe2955bbe23224aaf856134eccf1e4"},
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{file = "protobuf-4.25.3-cp39-cp39-win_amd64.whl", hash = "sha256:e3c97a1555fd6388f857770ff8b9703083de6bf1f9274a002a332d65fbb56c8c"},
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{file = "protobuf-4.25.3.tar.gz", hash = "sha256:25b5d0b42fd000320bd7830b349e3b696435f3b329810427a6bcce6a5492cc5c"},
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[[package]]
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name = "psutil"
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version = "5.9.8"
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description = "Cross-platform lib for process and system monitoring in Python."
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optional = false
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python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
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]
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[package.extras]
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test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"]
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[[package]]
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name = "pycparser"
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version = "2.22"
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2024-02-29 02:11:29 +08:00
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description = "C parser in Python"
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optional = false
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2024-04-05 18:41:11 +08:00
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python-versions = ">=3.8"
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2024-02-29 02:11:29 +08:00
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files = [
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2024-02-29 02:11:29 +08:00
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]
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[[package]]
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|
name = "pygame"
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|
version = "2.5.2"
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description = "Python Game Development"
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optional = false
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python-versions = ">=3.6"
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[[package]]
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|
|
|
|
name = "pymunk"
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|
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|
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version = "6.6.0"
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description = "Pymunk is a easy-to-use pythonic 2d physics library"
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|
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optional = false
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|
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|
python-versions = ">=3.7"
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{file = "pymunk-6.6.0-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:a3c35975f4172b024e0bb1be6f57f1048dcb469a8cf257c30123d11a9fe57e2a"},
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{file = "pymunk-6.6.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:35a57546294656b5bb989e08426a4926e26a17726aef35daf34c2703ee54c0e9"},
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{file = "pymunk-6.6.0-cp312-cp312-win32.whl", hash = "sha256:a68480440b60bf5acf3a7a8db1eb571e13ed425d5b693a20020f2efa9cc09592"},
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{file = "pymunk-6.6.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:70d9d5edcb2e90eeea0afb322c82d75a02e6bb77a9ff08b86daa2245a2c2a4ef"},
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{file = "pymunk-6.6.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:622746251dda14507d3655b64c93a4509125c0a651265c473945f227ba5763ec"},
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{file = "pymunk-6.6.0-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:35277485eb69cc5dda3f15b139723c77d69b9271f9fedf4264d08e8afdea67d0"},
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{file = "pymunk-6.6.0-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:ceadcf03988c51697a3357d6dd3c96dd60e48b993734346edf8955fcd3770466"},
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{file = "pymunk-6.6.0-cp37-cp37m-win32.whl", hash = "sha256:0d8e0e79135e86b6e0e686fd287f297488e728cb8276fc713cb33fdd7ce4f5f2"},
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{file = "pymunk-6.6.0-cp37-cp37m-win_amd64.whl", hash = "sha256:259a371150a9e264851d0a9caa85b5a19ba661f364da630a231a3eb326d49ca1"},
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{file = "pymunk-6.6.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:e97ad1ce7fa3e9ea15622d1e0c45e2757f02e1c947a354888c2014799575c100"},
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{file = "pymunk-6.6.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:a4cd70ffc259b8069eabb54ed5c7cbc39d0f5158610791c14ad0437f6cb6d18d"},
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{file = "pymunk-6.6.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1cf85e95774a89b2adf084c0129d62f69eaa23b97b800892ddcfa7862b931bbb"},
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{file = "pymunk-6.6.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b8d60b9fcde952d6e25c740a1ced5612ace59fa85e578986f7f053a538a681ed"},
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{file = "pymunk-6.6.0-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:5652c423ea2769b1d44e33fd2b19f2a6f7f4a34acacec9a86b63c780ac611552"},
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{file = "pymunk-6.6.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:939e46d9021cb5bc6ac4dbecafe89245af2b8325787869983b0a99181e37fd39"},
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{file = "pymunk-6.6.0-cp38-cp38-win32.whl", hash = "sha256:7785f5ac0597be5693dd2da819233297984d324b6470bf31b76c71399f25a18e"},
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{file = "pymunk-6.6.0-cp38-cp38-win_amd64.whl", hash = "sha256:26a0834207785878ba2bb244ab5616d9b6e09d01c2f19641f10247ca22d3c10e"},
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{file = "pymunk-6.6.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:ed23f05a65687750cba4d6cde045147d28eee84e44cd33829b79601dc655adf3"},
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{file = "pymunk-6.6.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:b2c23f2f182f91944c4ba5cfd6f652e873e6e8b113506c3eca255df5e6c79b6e"},
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{file = "pymunk-6.6.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c51b6de5869dcb103467d8ac75f62a1a9f43faa18bf12e37e89247b2d5554a61"},
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{file = "pymunk-6.6.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5b44c4420b43cfdfedd2278e3beb60970a9a9564f1272c7cc74090931268ab43"},
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{file = "pymunk-6.6.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:4b8d9c14275fd4853ae863e38bec8a7ae4c7aef4417550ff74fc9f68f120fa00"},
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{file = "pymunk-6.6.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:31631a91bf29dde9c4a5f1283056cb91d451fe352f35a440c5cb668b0de19ad5"},
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{file = "pymunk-6.6.0-cp39-cp39-win32.whl", hash = "sha256:832d83570d0781e2bcba555b0974e9a5f9ee592079dfd3b183a493cf0ceaac7f"},
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{file = "pymunk-6.6.0-cp39-cp39-win_amd64.whl", hash = "sha256:88625cca15c90dc8c0c1b55113f0ff19a8e6601ac0981804d317660c0afde9e2"},
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{file = "pymunk-6.6.0-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:8e27a8c7b762d43e91f18c320ad849c113dead500184d151aa14bd11a62c2c47"},
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{file = "pymunk-6.6.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aad898ca45546f084b0d88f73c771e3de0d19acc65f1171a9dbdba171945a915"},
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{file = "pymunk-6.6.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:45f537c79e817330753e6ed220b3ff46b5b983266d5b85ce7c1381a77b33d1f3"},
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{file = "pymunk-6.6.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:609341ff1329e59ee7a67b622973064c213111e87916981bc45838f38981ba47"},
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{file = "pymunk-6.6.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:345b99d19cb848359fbefcaba54a5f1bcc8dd05b084563d693ca4d0622aa1079"},
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{file = "pymunk-6.6.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f33c418b758e06960fa28e0434c14818c0d9755f431045db05cc93e646df9b22"},
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{file = "pymunk-6.6.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:59991310cb1a6f201878e9519cbb36ff746f825c9fac49fa76cf8c85b64bf7ad"},
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{file = "pymunk-6.6.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:c7513caf1add221cfa1228c12e14e0997a7212e583a59f517b68e72b1f02e08f"},
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{file = "pymunk-6.6.0.tar.gz", hash = "sha256:89be7b6ba237e313c440edfb99612de59bf119e43976d5c76802907cb7a3911c"},
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.dependencies]
|
|
|
|
|
cffi = ">=1.15.0"
|
|
|
|
|
|
|
|
|
|
[package.extras]
|
|
|
|
|
dev = ["aafigure", "matplotlib", "pygame", "pyglet (<2.0.0)", "sphinx", "wheel"]
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "pyopengl"
|
|
|
|
|
version = "3.1.7"
|
|
|
|
|
description = "Standard OpenGL bindings for Python"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = "*"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "PyOpenGL-3.1.7-py3-none-any.whl", hash = "sha256:a6ab19cf290df6101aaf7470843a9c46207789855746399d0af92521a0a92b7a"},
|
|
|
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{file = "PyOpenGL-3.1.7.tar.gz", hash = "sha256:eef31a3888e6984fd4d8e6c9961b184c9813ca82604d37fe3da80eb000a76c86"},
|
|
|
|
|
]
|
|
|
|
|
|
Add Aloha env and ACT policy
WIP Aloha env tests pass
Rendering works (fps look fast tho? TODO action bounding is too wide [-1,1])
Update README
Copy past from act repo
Remove download.py add a WIP for Simxarm
Remove download.py add a WIP for Simxarm
Add act yaml (TODO: try train.py)
Training can runs (TODO: eval)
Add tasks without end_effector that are compatible with dataset, Eval can run (TODO: training and pretrained model)
Add AbstractEnv, Refactor AlohaEnv, Add rendering_hook in env, Minor modifications, (TODO: Refactor Pusht and Simxarm)
poetry lock
fix bug in compute_stats for action normalization
fix more bugs in normalization
fix training
fix import
PushtEnv inheriates AbstractEnv, Improve factory Normalization
Add _make_env to EnvAbstract
Add call_rendering_hooks to pusht env
SimxarmEnv inherites from AbstractEnv (NOT TESTED)
Add aloha tests artifacts + update pusht stats
fix image normalization: before env was in [0,1] but dataset in [0,255], and now both in [0,255]
Small fix on simxarm
Add next to obs
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
2024-03-08 17:47:39 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "pyparsing"
|
|
|
|
|
version = "3.1.2"
|
|
|
|
|
description = "pyparsing module - Classes and methods to define and execute parsing grammars"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.6.8"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "pyparsing-3.1.2-py3-none-any.whl", hash = "sha256:f9db75911801ed778fe61bb643079ff86601aca99fcae6345aa67292038fb742"},
|
|
|
|
|
{file = "pyparsing-3.1.2.tar.gz", hash = "sha256:a1bac0ce561155ecc3ed78ca94d3c9378656ad4c94c1270de543f621420f94ad"},
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.extras]
|
|
|
|
|
diagrams = ["jinja2", "railroad-diagrams"]
|
|
|
|
|
|
2024-02-29 02:11:29 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "pysocks"
|
|
|
|
|
version = "1.7.1"
|
|
|
|
|
description = "A Python SOCKS client module. See https://github.com/Anorov/PySocks for more information."
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "PySocks-1.7.1-py27-none-any.whl", hash = "sha256:08e69f092cc6dbe92a0fdd16eeb9b9ffbc13cadfe5ca4c7bd92ffb078b293299"},
|
|
|
|
|
{file = "PySocks-1.7.1-py3-none-any.whl", hash = "sha256:2725bd0a9925919b9b51739eea5f9e2bae91e83288108a9ad338b2e3a4435ee5"},
|
|
|
|
|
{file = "PySocks-1.7.1.tar.gz", hash = "sha256:3f8804571ebe159c380ac6de37643bb4685970655d3bba243530d6558b799aa0"},
|
|
|
|
|
]
|
|
|
|
|
|
2024-03-05 23:03:03 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "pytest"
|
Add Aloha env and ACT policy
WIP Aloha env tests pass
Rendering works (fps look fast tho? TODO action bounding is too wide [-1,1])
Update README
Copy past from act repo
Remove download.py add a WIP for Simxarm
Remove download.py add a WIP for Simxarm
Add act yaml (TODO: try train.py)
Training can runs (TODO: eval)
Add tasks without end_effector that are compatible with dataset, Eval can run (TODO: training and pretrained model)
Add AbstractEnv, Refactor AlohaEnv, Add rendering_hook in env, Minor modifications, (TODO: Refactor Pusht and Simxarm)
poetry lock
fix bug in compute_stats for action normalization
fix more bugs in normalization
fix training
fix import
PushtEnv inheriates AbstractEnv, Improve factory Normalization
Add _make_env to EnvAbstract
Add call_rendering_hooks to pusht env
SimxarmEnv inherites from AbstractEnv (NOT TESTED)
Add aloha tests artifacts + update pusht stats
fix image normalization: before env was in [0,1] but dataset in [0,255], and now both in [0,255]
Small fix on simxarm
Add next to obs
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
2024-03-08 17:47:39 +08:00
|
|
|
version = "8.1.1"
|
2024-03-05 23:03:03 +08:00
|
|
|
description = "pytest: simple powerful testing with Python"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.8"
|
|
|
|
|
files = [
|
Add Aloha env and ACT policy
WIP Aloha env tests pass
Rendering works (fps look fast tho? TODO action bounding is too wide [-1,1])
Update README
Copy past from act repo
Remove download.py add a WIP for Simxarm
Remove download.py add a WIP for Simxarm
Add act yaml (TODO: try train.py)
Training can runs (TODO: eval)
Add tasks without end_effector that are compatible with dataset, Eval can run (TODO: training and pretrained model)
Add AbstractEnv, Refactor AlohaEnv, Add rendering_hook in env, Minor modifications, (TODO: Refactor Pusht and Simxarm)
poetry lock
fix bug in compute_stats for action normalization
fix more bugs in normalization
fix training
fix import
PushtEnv inheriates AbstractEnv, Improve factory Normalization
Add _make_env to EnvAbstract
Add call_rendering_hooks to pusht env
SimxarmEnv inherites from AbstractEnv (NOT TESTED)
Add aloha tests artifacts + update pusht stats
fix image normalization: before env was in [0,1] but dataset in [0,255], and now both in [0,255]
Small fix on simxarm
Add next to obs
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
2024-03-08 17:47:39 +08:00
|
|
|
{file = "pytest-8.1.1-py3-none-any.whl", hash = "sha256:2a8386cfc11fa9d2c50ee7b2a57e7d898ef90470a7a34c4b949ff59662bb78b7"},
|
|
|
|
|
{file = "pytest-8.1.1.tar.gz", hash = "sha256:ac978141a75948948817d360297b7aae0fcb9d6ff6bc9ec6d514b85d5a65c044"},
|
2024-03-05 23:03:03 +08:00
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.dependencies]
|
|
|
|
|
colorama = {version = "*", markers = "sys_platform == \"win32\""}
|
|
|
|
|
exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
|
|
|
|
|
iniconfig = "*"
|
|
|
|
|
packaging = "*"
|
|
|
|
|
pluggy = ">=1.4,<2.0"
|
|
|
|
|
tomli = {version = ">=1", markers = "python_version < \"3.11\""}
|
|
|
|
|
|
|
|
|
|
[package.extras]
|
|
|
|
|
testing = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
|
|
|
|
|
|
2024-03-26 22:25:22 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "pytest-cov"
|
|
|
|
|
version = "5.0.0"
|
|
|
|
|
description = "Pytest plugin for measuring coverage."
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.8"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "pytest-cov-5.0.0.tar.gz", hash = "sha256:5837b58e9f6ebd335b0f8060eecce69b662415b16dc503883a02f45dfeb14857"},
|
|
|
|
|
{file = "pytest_cov-5.0.0-py3-none-any.whl", hash = "sha256:4f0764a1219df53214206bf1feea4633c3b558a2925c8b59f144f682861ce652"},
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.dependencies]
|
|
|
|
|
coverage = {version = ">=5.2.1", extras = ["toml"]}
|
|
|
|
|
pytest = ">=4.6"
|
|
|
|
|
|
|
|
|
|
[package.extras]
|
|
|
|
|
testing = ["fields", "hunter", "process-tests", "pytest-xdist", "virtualenv"]
|
|
|
|
|
|
2024-02-29 02:11:29 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "python-dateutil"
|
Add Aloha env and ACT policy
WIP Aloha env tests pass
Rendering works (fps look fast tho? TODO action bounding is too wide [-1,1])
Update README
Copy past from act repo
Remove download.py add a WIP for Simxarm
Remove download.py add a WIP for Simxarm
Add act yaml (TODO: try train.py)
Training can runs (TODO: eval)
Add tasks without end_effector that are compatible with dataset, Eval can run (TODO: training and pretrained model)
Add AbstractEnv, Refactor AlohaEnv, Add rendering_hook in env, Minor modifications, (TODO: Refactor Pusht and Simxarm)
poetry lock
fix bug in compute_stats for action normalization
fix more bugs in normalization
fix training
fix import
PushtEnv inheriates AbstractEnv, Improve factory Normalization
Add _make_env to EnvAbstract
Add call_rendering_hooks to pusht env
SimxarmEnv inherites from AbstractEnv (NOT TESTED)
Add aloha tests artifacts + update pusht stats
fix image normalization: before env was in [0,1] but dataset in [0,255], and now both in [0,255]
Small fix on simxarm
Add next to obs
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
2024-03-08 17:47:39 +08:00
|
|
|
version = "2.9.0.post0"
|
2024-02-29 02:11:29 +08:00
|
|
|
description = "Extensions to the standard Python datetime module"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
|
|
|
|
|
files = [
|
Add Aloha env and ACT policy
WIP Aloha env tests pass
Rendering works (fps look fast tho? TODO action bounding is too wide [-1,1])
Update README
Copy past from act repo
Remove download.py add a WIP for Simxarm
Remove download.py add a WIP for Simxarm
Add act yaml (TODO: try train.py)
Training can runs (TODO: eval)
Add tasks without end_effector that are compatible with dataset, Eval can run (TODO: training and pretrained model)
Add AbstractEnv, Refactor AlohaEnv, Add rendering_hook in env, Minor modifications, (TODO: Refactor Pusht and Simxarm)
poetry lock
fix bug in compute_stats for action normalization
fix more bugs in normalization
fix training
fix import
PushtEnv inheriates AbstractEnv, Improve factory Normalization
Add _make_env to EnvAbstract
Add call_rendering_hooks to pusht env
SimxarmEnv inherites from AbstractEnv (NOT TESTED)
Add aloha tests artifacts + update pusht stats
fix image normalization: before env was in [0,1] but dataset in [0,255], and now both in [0,255]
Small fix on simxarm
Add next to obs
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
2024-03-08 17:47:39 +08:00
|
|
|
{file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"},
|
|
|
|
|
{file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"},
|
2024-02-29 02:11:29 +08:00
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.dependencies]
|
|
|
|
|
six = ">=1.5"
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "pytz"
|
|
|
|
|
version = "2024.1"
|
|
|
|
|
description = "World timezone definitions, modern and historical"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = "*"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "pytz-2024.1-py2.py3-none-any.whl", hash = "sha256:328171f4e3623139da4983451950b28e95ac706e13f3f2630a879749e7a8b319"},
|
|
|
|
|
{file = "pytz-2024.1.tar.gz", hash = "sha256:2a29735ea9c18baf14b448846bde5a48030ed267578472d8955cd0e7443a9812"},
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "pyyaml"
|
|
|
|
|
version = "6.0.1"
|
|
|
|
|
description = "YAML parser and emitter for Python"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.6"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "PyYAML-6.0.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d858aa552c999bc8a8d57426ed01e40bef403cd8ccdd0fc5f6f04a00414cac2a"},
|
|
|
|
|
{file = "PyYAML-6.0.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:fd66fc5d0da6d9815ba2cebeb4205f95818ff4b79c3ebe268e75d961704af52f"},
|
|
|
|
|
{file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:69b023b2b4daa7548bcfbd4aa3da05b3a74b772db9e23b982788168117739938"},
|
|
|
|
|
{file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:81e0b275a9ecc9c0c0c07b4b90ba548307583c125f54d5b6946cfee6360c733d"},
|
|
|
|
|
{file = "PyYAML-6.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba336e390cd8e4d1739f42dfe9bb83a3cc2e80f567d8805e11b46f4a943f5515"},
|
|
|
|
|
{file = "PyYAML-6.0.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:326c013efe8048858a6d312ddd31d56e468118ad4cdeda36c719bf5bb6192290"},
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|
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{file = "PyYAML-6.0.1-cp310-cp310-win32.whl", hash = "sha256:bd4af7373a854424dabd882decdc5579653d7868b8fb26dc7d0e99f823aa5924"},
|
|
|
|
|
{file = "PyYAML-6.0.1-cp310-cp310-win_amd64.whl", hash = "sha256:fd1592b3fdf65fff2ad0004b5e363300ef59ced41c2e6b3a99d4089fa8c5435d"},
|
|
|
|
|
{file = "PyYAML-6.0.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6965a7bc3cf88e5a1c3bd2e0b5c22f8d677dc88a455344035f03399034eb3007"},
|
|
|
|
|
{file = "PyYAML-6.0.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:f003ed9ad21d6a4713f0a9b5a7a0a79e08dd0f221aff4525a2be4c346ee60aab"},
|
|
|
|
|
{file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:42f8152b8dbc4fe7d96729ec2b99c7097d656dc1213a3229ca5383f973a5ed6d"},
|
|
|
|
|
{file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:062582fca9fabdd2c8b54a3ef1c978d786e0f6b3a1510e0ac93ef59e0ddae2bc"},
|
|
|
|
|
{file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d2b04aac4d386b172d5b9692e2d2da8de7bfb6c387fa4f801fbf6fb2e6ba4673"},
|
|
|
|
|
{file = "PyYAML-6.0.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:e7d73685e87afe9f3b36c799222440d6cf362062f78be1013661b00c5c6f678b"},
|
|
|
|
|
{file = "PyYAML-6.0.1-cp311-cp311-win32.whl", hash = "sha256:1635fd110e8d85d55237ab316b5b011de701ea0f29d07611174a1b42f1444741"},
|
|
|
|
|
{file = "PyYAML-6.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34"},
|
|
|
|
|
{file = "PyYAML-6.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28"},
|
|
|
|
|
{file = "PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9"},
|
|
|
|
|
{file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a08c6f0fe150303c1c6b71ebcd7213c2858041a7e01975da3a99aed1e7a378ef"},
|
|
|
|
|
{file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0"},
|
|
|
|
|
{file = "PyYAML-6.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4"},
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|
|
|
|
{file = "PyYAML-6.0.1-cp312-cp312-win32.whl", hash = "sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54"},
|
|
|
|
|
{file = "PyYAML-6.0.1-cp312-cp312-win_amd64.whl", hash = "sha256:0d3304d8c0adc42be59c5f8a4d9e3d7379e6955ad754aa9d6ab7a398b59dd1df"},
|
|
|
|
|
{file = "PyYAML-6.0.1-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:50550eb667afee136e9a77d6dc71ae76a44df8b3e51e41b77f6de2932bfe0f47"},
|
|
|
|
|
{file = "PyYAML-6.0.1-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1fe35611261b29bd1de0070f0b2f47cb6ff71fa6595c077e42bd0c419fa27b98"},
|
|
|
|
|
{file = "PyYAML-6.0.1-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:704219a11b772aea0d8ecd7058d0082713c3562b4e271b849ad7dc4a5c90c13c"},
|
|
|
|
|
{file = "PyYAML-6.0.1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:afd7e57eddb1a54f0f1a974bc4391af8bcce0b444685d936840f125cf046d5bd"},
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|
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{file = "PyYAML-6.0.1-cp36-cp36m-win32.whl", hash = "sha256:fca0e3a251908a499833aa292323f32437106001d436eca0e6e7833256674585"},
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|
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{file = "PyYAML-6.0.1-cp36-cp36m-win_amd64.whl", hash = "sha256:f22ac1c3cac4dbc50079e965eba2c1058622631e526bd9afd45fedd49ba781fa"},
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|
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{file = "PyYAML-6.0.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:b1275ad35a5d18c62a7220633c913e1b42d44b46ee12554e5fd39c70a243d6a3"},
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|
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{file = "PyYAML-6.0.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:18aeb1bf9a78867dc38b259769503436b7c72f7a1f1f4c93ff9a17de54319b27"},
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|
|
|
|
{file = "PyYAML-6.0.1-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:596106435fa6ad000c2991a98fa58eeb8656ef2325d7e158344fb33864ed87e3"},
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|
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{file = "PyYAML-6.0.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:baa90d3f661d43131ca170712d903e6295d1f7a0f595074f151c0aed377c9b9c"},
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|
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{file = "PyYAML-6.0.1-cp37-cp37m-win32.whl", hash = "sha256:9046c58c4395dff28dd494285c82ba00b546adfc7ef001486fbf0324bc174fba"},
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|
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|
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{file = "PyYAML-6.0.1-cp37-cp37m-win_amd64.whl", hash = "sha256:4fb147e7a67ef577a588a0e2c17b6db51dda102c71de36f8549b6816a96e1867"},
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|
|
|
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{file = "PyYAML-6.0.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:1d4c7e777c441b20e32f52bd377e0c409713e8bb1386e1099c2415f26e479595"},
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|
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{file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a0cd17c15d3bb3fa06978b4e8958dcdc6e0174ccea823003a106c7d4d7899ac5"},
|
|
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|
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{file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:28c119d996beec18c05208a8bd78cbe4007878c6dd15091efb73a30e90539696"},
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|
|
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{file = "PyYAML-6.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7e07cbde391ba96ab58e532ff4803f79c4129397514e1413a7dc761ccd755735"},
|
|
|
|
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{file = "PyYAML-6.0.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:49a183be227561de579b4a36efbb21b3eab9651dd81b1858589f796549873dd6"},
|
|
|
|
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{file = "PyYAML-6.0.1-cp38-cp38-win32.whl", hash = "sha256:184c5108a2aca3c5b3d3bf9395d50893a7ab82a38004c8f61c258d4428e80206"},
|
|
|
|
|
{file = "PyYAML-6.0.1-cp38-cp38-win_amd64.whl", hash = "sha256:1e2722cc9fbb45d9b87631ac70924c11d3a401b2d7f410cc0e3bbf249f2dca62"},
|
|
|
|
|
{file = "PyYAML-6.0.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:9eb6caa9a297fc2c2fb8862bc5370d0303ddba53ba97e71f08023b6cd73d16a8"},
|
|
|
|
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{file = "PyYAML-6.0.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:c8098ddcc2a85b61647b2590f825f3db38891662cfc2fc776415143f599bb859"},
|
|
|
|
|
{file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5773183b6446b2c99bb77e77595dd486303b4faab2b086e7b17bc6bef28865f6"},
|
|
|
|
|
{file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b786eecbdf8499b9ca1d697215862083bd6d2a99965554781d0d8d1ad31e13a0"},
|
|
|
|
|
{file = "PyYAML-6.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bc1bf2925a1ecd43da378f4db9e4f799775d6367bdb94671027b73b393a7c42c"},
|
|
|
|
|
{file = "PyYAML-6.0.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5"},
|
|
|
|
|
{file = "PyYAML-6.0.1-cp39-cp39-win32.whl", hash = "sha256:faca3bdcf85b2fc05d06ff3fbc1f83e1391b3e724afa3feba7d13eeab355484c"},
|
|
|
|
|
{file = "PyYAML-6.0.1-cp39-cp39-win_amd64.whl", hash = "sha256:510c9deebc5c0225e8c96813043e62b680ba2f9c50a08d3724c7f28a747d1486"},
|
|
|
|
|
{file = "PyYAML-6.0.1.tar.gz", hash = "sha256:bfdf460b1736c775f2ba9f6a92bca30bc2095067b8a9d77876d1fad6cc3b4a43"},
|
|
|
|
|
]
|
|
|
|
|
|
2024-03-05 23:03:03 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "regex"
|
|
|
|
|
version = "2023.12.25"
|
|
|
|
|
description = "Alternative regular expression module, to replace re."
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.7"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "regex-2023.12.25-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:0694219a1d54336fd0445ea382d49d36882415c0134ee1e8332afd1529f0baa5"},
|
|
|
|
|
{file = "regex-2023.12.25-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b014333bd0217ad3d54c143de9d4b9a3ca1c5a29a6d0d554952ea071cff0f1f8"},
|
|
|
|
|
{file = "regex-2023.12.25-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:d865984b3f71f6d0af64d0d88f5733521698f6c16f445bb09ce746c92c97c586"},
|
|
|
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]
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|
|
|
|
|
2024-02-29 02:11:29 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "requests"
|
|
|
|
|
version = "2.31.0"
|
|
|
|
|
description = "Python HTTP for Humans."
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.7"
|
|
|
|
|
files = [
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|
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|
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{file = "requests-2.31.0-py3-none-any.whl", hash = "sha256:58cd2187c01e70e6e26505bca751777aa9f2ee0b7f4300988b709f44e013003f"},
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{file = "requests-2.31.0.tar.gz", hash = "sha256:942c5a758f98d790eaed1a29cb6eefc7ffb0d1cf7af05c3d2791656dbd6ad1e1"},
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]
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|
|
|
|
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|
|
|
[package.dependencies]
|
|
|
|
|
certifi = ">=2017.4.17"
|
|
|
|
|
charset-normalizer = ">=2,<4"
|
|
|
|
|
idna = ">=2.5,<4"
|
|
|
|
|
PySocks = {version = ">=1.5.6,<1.5.7 || >1.5.7", optional = true, markers = "extra == \"socks\""}
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|
|
|
|
urllib3 = ">=1.21.1,<3"
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|
|
|
|
|
|
|
|
|
[package.extras]
|
|
|
|
|
socks = ["PySocks (>=1.5.6,!=1.5.7)"]
|
|
|
|
|
use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
|
|
|
|
|
|
2024-03-21 18:18:50 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "robomimic"
|
|
|
|
|
version = "0.2.0"
|
|
|
|
|
description = "robomimic: A Modular Framework for Robot Learning from Demonstration"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "robomimic-0.2.0.tar.gz", hash = "sha256:ee3bb5cf9c3e1feead6b57b43c5db738fd0a8e0c015fdf6419808af8fffdc463"},
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|
]
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|
|
|
|
|
|
|
|
|
[package.dependencies]
|
|
|
|
|
egl_probe = ">=1.0.1"
|
|
|
|
|
h5py = "*"
|
|
|
|
|
imageio = "*"
|
|
|
|
|
imageio-ffmpeg = "*"
|
|
|
|
|
numpy = ">=1.13.3"
|
|
|
|
|
psutil = "*"
|
|
|
|
|
tensorboard = "*"
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|
|
|
|
tensorboardX = "*"
|
|
|
|
|
termcolor = "*"
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|
|
|
|
torch = "*"
|
|
|
|
|
torchvision = "*"
|
|
|
|
|
tqdm = "*"
|
|
|
|
|
|
2024-03-05 23:03:03 +08:00
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|
|
[[package]]
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|
|
|
|
name = "safetensors"
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|
|
|
|
version = "0.4.2"
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|
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|
|
description = ""
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optional = false
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python-versions = ">=3.7"
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files = [
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{file = "safetensors-0.4.2.tar.gz", hash = "sha256:acc85dcb09ec5e8aa787f588d7ad4d55c103f31e4ff060e17d92cc0e8b8cac73"},
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]
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[package.extras]
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|
|
all = ["safetensors[jax]", "safetensors[numpy]", "safetensors[paddlepaddle]", "safetensors[pinned-tf]", "safetensors[quality]", "safetensors[testing]", "safetensors[torch]"]
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dev = ["safetensors[all]"]
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jax = ["flax (>=0.6.3)", "jax (>=0.3.25)", "jaxlib (>=0.3.25)", "safetensors[numpy]"]
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mlx = ["mlx (>=0.0.9)"]
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numpy = ["numpy (>=1.21.6)"]
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paddlepaddle = ["paddlepaddle (>=2.4.1)", "safetensors[numpy]"]
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pinned-tf = ["safetensors[numpy]", "tensorflow (==2.11.0)"]
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quality = ["black (==22.3)", "click (==8.0.4)", "flake8 (>=3.8.3)", "isort (>=5.5.4)"]
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tensorflow = ["safetensors[numpy]", "tensorflow (>=2.11.0)"]
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testing = ["h5py (>=3.7.0)", "huggingface_hub (>=0.12.1)", "hypothesis (>=6.70.2)", "pytest (>=7.2.0)", "pytest-benchmark (>=4.0.0)", "safetensors[numpy]", "setuptools_rust (>=1.5.2)"]
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torch = ["safetensors[numpy]", "torch (>=1.10)"]
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2024-02-29 02:11:29 +08:00
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|
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[[package]]
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|
|
name = "scikit-image"
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version = "0.22.0"
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description = "Image processing in Python"
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optional = false
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python-versions = ">=3.9"
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files = [
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{file = "scikit_image-0.22.0-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:9e801c44a814afdadeabf4dffdffc23733e393767958b82319706f5fa3e1eaa9"},
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{file = "scikit_image-0.22.0-cp39-cp39-win_amd64.whl", hash = "sha256:5071b8f6341bfb0737ab05c8ab4ac0261f9e25dbcc7b5d31e5ed230fd24a7929"},
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{file = "scikit_image-0.22.0.tar.gz", hash = "sha256:018d734df1d2da2719087d15f679d19285fce97cd37695103deadfaef2873236"},
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]
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|
[package.dependencies]
|
|
|
|
|
imageio = ">=2.27"
|
|
|
|
|
lazy_loader = ">=0.3"
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|
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|
networkx = ">=2.8"
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|
numpy = ">=1.22"
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packaging = ">=21"
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|
pillow = ">=9.0.1"
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|
scipy = ">=1.8"
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|
tifffile = ">=2022.8.12"
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[package.extras]
|
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|
|
build = ["Cython (>=0.29.32)", "build", "meson-python (>=0.14)", "ninja", "numpy (>=1.22)", "packaging (>=21)", "pythran", "setuptools (>=67)", "spin (==0.6)", "wheel"]
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|
|
|
|
data = ["pooch (>=1.6.0)"]
|
|
|
|
|
developer = ["pre-commit", "tomli"]
|
|
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|
docs = ["PyWavelets (>=1.1.1)", "dask[array] (>=2022.9.2)", "ipykernel", "ipywidgets", "kaleido", "matplotlib (>=3.5)", "myst-parser", "numpydoc (>=1.6)", "pandas (>=1.5)", "plotly (>=5.10)", "pooch (>=1.6)", "pydata-sphinx-theme (>=0.14.1)", "pytest-runner", "scikit-learn (>=1.1)", "seaborn (>=0.11)", "sphinx (>=7.2)", "sphinx-copybutton", "sphinx-gallery (>=0.14)", "sphinx_design (>=0.5)", "tifffile (>=2022.8.12)"]
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optional = ["PyWavelets (>=1.1.1)", "SimpleITK", "astropy (>=5.0)", "cloudpickle (>=0.2.1)", "dask[array] (>=2021.1.0)", "matplotlib (>=3.5)", "pooch (>=1.6.0)", "pyamg", "scikit-learn (>=1.1)"]
|
|
|
|
|
test = ["asv", "matplotlib (>=3.5)", "numpydoc (>=1.5)", "pooch (>=1.6.0)", "pytest (>=7.0)", "pytest-cov (>=2.11.0)", "pytest-faulthandler", "pytest-localserver"]
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|
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|
[[package]]
|
|
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|
|
name = "scipy"
|
2024-04-05 18:41:11 +08:00
|
|
|
version = "1.13.0"
|
2024-02-29 02:11:29 +08:00
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|
|
description = "Fundamental algorithms for scientific computing in Python"
|
|
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|
|
optional = false
|
|
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|
|
python-versions = ">=3.9"
|
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|
|
files = [
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2024-04-05 18:41:11 +08:00
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{file = "scipy-1.13.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ba419578ab343a4e0a77c0ef82f088238a93eef141b2b8017e46149776dfad4d"},
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{file = "scipy-1.13.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:22789b56a999265431c417d462e5b7f2b487e831ca7bef5edeb56efe4c93f86e"},
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{file = "scipy-1.13.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:109d391d720fcebf2fbe008621952b08e52907cf4c8c7efc7376822151820820"},
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{file = "scipy-1.13.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:5407708195cb38d70fd2d6bb04b1b9dd5c92297d86e9f9daae1576bd9e06f602"},
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{file = "scipy-1.13.0-cp39-cp39-win_amd64.whl", hash = "sha256:45c08bec71d3546d606989ba6e7daa6f0992918171e2a6f7fbedfa7361c2de1e"},
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{file = "scipy-1.13.0.tar.gz", hash = "sha256:58569af537ea29d3f78e5abd18398459f195546bb3be23d16677fb26616cc11e"},
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2024-02-29 02:11:29 +08:00
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.dependencies]
|
2024-04-05 18:41:11 +08:00
|
|
|
numpy = ">=1.22.4,<2.3"
|
2024-02-29 02:11:29 +08:00
|
|
|
|
|
|
|
|
[package.extras]
|
2024-04-05 18:41:11 +08:00
|
|
|
dev = ["cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy", "pycodestyle", "pydevtool", "rich-click", "ruff", "types-psutil", "typing_extensions"]
|
|
|
|
|
doc = ["jupyterlite-pyodide-kernel", "jupyterlite-sphinx (>=0.12.0)", "jupytext", "matplotlib (>=3.5)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (>=0.15.2)", "sphinx (>=5.0.0)", "sphinx-design (>=0.4.0)"]
|
|
|
|
|
test = ["array-api-strict", "asv", "gmpy2", "hypothesis (>=6.30)", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
|
2024-02-29 02:11:29 +08:00
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "sentry-sdk"
|
2024-04-05 18:41:11 +08:00
|
|
|
version = "1.44.1"
|
2024-02-29 02:11:29 +08:00
|
|
|
description = "Python client for Sentry (https://sentry.io)"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = "*"
|
|
|
|
|
files = [
|
2024-04-05 18:41:11 +08:00
|
|
|
{file = "sentry-sdk-1.44.1.tar.gz", hash = "sha256:24e6a53eeabffd2f95d952aa35ca52f0f4201d17f820ac9d3ff7244c665aaf68"},
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|
|
|
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{file = "sentry_sdk-1.44.1-py2.py3-none-any.whl", hash = "sha256:5f75eb91d8ab6037c754a87b8501cc581b2827e923682f593bed3539ce5b3999"},
|
2024-02-29 02:11:29 +08:00
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.dependencies]
|
|
|
|
|
certifi = "*"
|
|
|
|
|
urllib3 = {version = ">=1.26.11", markers = "python_version >= \"3.6\""}
|
|
|
|
|
|
|
|
|
|
[package.extras]
|
|
|
|
|
aiohttp = ["aiohttp (>=3.5)"]
|
|
|
|
|
arq = ["arq (>=0.23)"]
|
|
|
|
|
asyncpg = ["asyncpg (>=0.23)"]
|
|
|
|
|
beam = ["apache-beam (>=2.12)"]
|
|
|
|
|
bottle = ["bottle (>=0.12.13)"]
|
|
|
|
|
celery = ["celery (>=3)"]
|
2024-03-21 18:18:50 +08:00
|
|
|
celery-redbeat = ["celery-redbeat (>=2)"]
|
2024-02-29 02:11:29 +08:00
|
|
|
chalice = ["chalice (>=1.16.0)"]
|
|
|
|
|
clickhouse-driver = ["clickhouse-driver (>=0.2.0)"]
|
|
|
|
|
django = ["django (>=1.8)"]
|
|
|
|
|
falcon = ["falcon (>=1.4)"]
|
|
|
|
|
fastapi = ["fastapi (>=0.79.0)"]
|
|
|
|
|
flask = ["blinker (>=1.1)", "flask (>=0.11)", "markupsafe"]
|
|
|
|
|
grpcio = ["grpcio (>=1.21.1)"]
|
|
|
|
|
httpx = ["httpx (>=0.16.0)"]
|
|
|
|
|
huey = ["huey (>=2)"]
|
|
|
|
|
loguru = ["loguru (>=0.5)"]
|
2024-03-15 21:05:35 +08:00
|
|
|
openai = ["openai (>=1.0.0)", "tiktoken (>=0.3.0)"]
|
2024-02-29 02:11:29 +08:00
|
|
|
opentelemetry = ["opentelemetry-distro (>=0.35b0)"]
|
|
|
|
|
opentelemetry-experimental = ["opentelemetry-distro (>=0.40b0,<1.0)", "opentelemetry-instrumentation-aiohttp-client (>=0.40b0,<1.0)", "opentelemetry-instrumentation-django (>=0.40b0,<1.0)", "opentelemetry-instrumentation-fastapi (>=0.40b0,<1.0)", "opentelemetry-instrumentation-flask (>=0.40b0,<1.0)", "opentelemetry-instrumentation-requests (>=0.40b0,<1.0)", "opentelemetry-instrumentation-sqlite3 (>=0.40b0,<1.0)", "opentelemetry-instrumentation-urllib (>=0.40b0,<1.0)"]
|
Add Aloha env and ACT policy
WIP Aloha env tests pass
Rendering works (fps look fast tho? TODO action bounding is too wide [-1,1])
Update README
Copy past from act repo
Remove download.py add a WIP for Simxarm
Remove download.py add a WIP for Simxarm
Add act yaml (TODO: try train.py)
Training can runs (TODO: eval)
Add tasks without end_effector that are compatible with dataset, Eval can run (TODO: training and pretrained model)
Add AbstractEnv, Refactor AlohaEnv, Add rendering_hook in env, Minor modifications, (TODO: Refactor Pusht and Simxarm)
poetry lock
fix bug in compute_stats for action normalization
fix more bugs in normalization
fix training
fix import
PushtEnv inheriates AbstractEnv, Improve factory Normalization
Add _make_env to EnvAbstract
Add call_rendering_hooks to pusht env
SimxarmEnv inherites from AbstractEnv (NOT TESTED)
Add aloha tests artifacts + update pusht stats
fix image normalization: before env was in [0,1] but dataset in [0,255], and now both in [0,255]
Small fix on simxarm
Add next to obs
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
2024-03-08 17:47:39 +08:00
|
|
|
pure-eval = ["asttokens", "executing", "pure-eval"]
|
2024-02-29 02:11:29 +08:00
|
|
|
pymongo = ["pymongo (>=3.1)"]
|
|
|
|
|
pyspark = ["pyspark (>=2.4.4)"]
|
|
|
|
|
quart = ["blinker (>=1.1)", "quart (>=0.16.1)"]
|
|
|
|
|
rq = ["rq (>=0.6)"]
|
|
|
|
|
sanic = ["sanic (>=0.8)"]
|
|
|
|
|
sqlalchemy = ["sqlalchemy (>=1.2)"]
|
|
|
|
|
starlette = ["starlette (>=0.19.1)"]
|
|
|
|
|
starlite = ["starlite (>=1.48)"]
|
|
|
|
|
tornado = ["tornado (>=5)"]
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "setproctitle"
|
|
|
|
|
version = "1.3.3"
|
|
|
|
|
description = "A Python module to customize the process title"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.7"
|
|
|
|
|
files = [
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|
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{file = "setproctitle-1.3.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:897a73208da48db41e687225f355ce993167079eda1260ba5e13c4e53be7f754"},
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{file = "setproctitle-1.3.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8c331e91a14ba4076f88c29c777ad6b58639530ed5b24b5564b5ed2fd7a95452"},
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{file = "setproctitle-1.3.3-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:38da436a0aaace9add67b999eb6abe4b84397edf4a78ec28f264e5b4c9d53cd5"},
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|
|
[package.extras]
|
|
|
|
|
test = ["pytest"]
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "setuptools"
|
2024-03-15 21:05:35 +08:00
|
|
|
version = "69.2.0"
|
2024-02-29 02:11:29 +08:00
|
|
|
description = "Easily download, build, install, upgrade, and uninstall Python packages"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.8"
|
|
|
|
|
files = [
|
2024-03-15 21:05:35 +08:00
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|
{file = "setuptools-69.2.0-py3-none-any.whl", hash = "sha256:c21c49fb1042386df081cb5d86759792ab89efca84cf114889191cd09aacc80c"},
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{file = "setuptools-69.2.0.tar.gz", hash = "sha256:0ff4183f8f42cd8fa3acea16c45205521a4ef28f73c6391d8a25e92893134f2e"},
|
2024-02-29 02:11:29 +08:00
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.extras]
|
|
|
|
|
docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
|
2024-03-15 21:05:35 +08:00
|
|
|
testing = ["build[virtualenv]", "filelock (>=3.4.0)", "importlib-metadata", "ini2toml[lite] (>=0.9)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "mypy (==1.9)", "packaging (>=23.2)", "pip (>=19.1)", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-home (>=0.5)", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-ruff (>=0.2.1)", "pytest-timeout", "pytest-xdist (>=3)", "tomli", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
|
2024-02-29 02:11:29 +08:00
|
|
|
testing-integration = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "packaging (>=23.2)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"]
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "shapely"
|
|
|
|
|
version = "2.0.3"
|
|
|
|
|
description = "Manipulation and analysis of geometric objects"
|
|
|
|
|
optional = false
|
|
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|
|
python-versions = ">=3.7"
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|
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|
|
files = [
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{file = "shapely-2.0.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:98040462b36ced9671e266b95c326b97f41290d9d17504a1ee4dc313a7667b9c"},
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|
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{file = "shapely-2.0.3-cp39-cp39-win_amd64.whl", hash = "sha256:5026b30433a70911979d390009261b8c4021ff87c7c3cbd825e62bb2ffa181bc"},
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{file = "shapely-2.0.3.tar.gz", hash = "sha256:4d65d0aa7910af71efa72fd6447e02a8e5dd44da81a983de9d736d6e6ccbe674"},
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|
]
|
|
|
|
|
|
|
|
|
|
[package.dependencies]
|
|
|
|
|
numpy = ">=1.14,<2"
|
|
|
|
|
|
|
|
|
|
[package.extras]
|
|
|
|
|
docs = ["matplotlib", "numpydoc (==1.1.*)", "sphinx", "sphinx-book-theme", "sphinx-remove-toctrees"]
|
|
|
|
|
test = ["pytest", "pytest-cov"]
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "six"
|
|
|
|
|
version = "1.16.0"
|
|
|
|
|
description = "Python 2 and 3 compatibility utilities"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
|
|
|
|
|
files = [
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|
|
|
|
{file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
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{file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
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|
]
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "smmap"
|
|
|
|
|
version = "5.0.1"
|
|
|
|
|
description = "A pure Python implementation of a sliding window memory map manager"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.7"
|
|
|
|
|
files = [
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|
|
|
|
{file = "smmap-5.0.1-py3-none-any.whl", hash = "sha256:e6d8668fa5f93e706934a62d7b4db19c8d9eb8cf2adbb75ef1b675aa332b69da"},
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{file = "smmap-5.0.1.tar.gz", hash = "sha256:dceeb6c0028fdb6734471eb07c0cd2aae706ccaecab45965ee83f11c8d3b1f62"},
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|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "soupsieve"
|
|
|
|
|
version = "2.5"
|
|
|
|
|
description = "A modern CSS selector implementation for Beautiful Soup."
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.8"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "soupsieve-2.5-py3-none-any.whl", hash = "sha256:eaa337ff55a1579b6549dc679565eac1e3d000563bcb1c8ab0d0fefbc0c2cdc7"},
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{file = "soupsieve-2.5.tar.gz", hash = "sha256:5663d5a7b3bfaeee0bc4372e7fc48f9cff4940b3eec54a6451cc5299f1097690"},
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|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "sympy"
|
|
|
|
|
version = "1.12"
|
|
|
|
|
description = "Computer algebra system (CAS) in Python"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.8"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "sympy-1.12-py3-none-any.whl", hash = "sha256:c3588cd4295d0c0f603d0f2ae780587e64e2efeedb3521e46b9bb1d08d184fa5"},
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{file = "sympy-1.12.tar.gz", hash = "sha256:ebf595c8dac3e0fdc4152c51878b498396ec7f30e7a914d6071e674d49420fb8"},
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|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.dependencies]
|
|
|
|
|
mpmath = ">=0.19"
|
|
|
|
|
|
2024-03-21 18:18:50 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "tensorboard"
|
|
|
|
|
version = "2.16.2"
|
|
|
|
|
description = "TensorBoard lets you watch Tensors Flow"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.9"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "tensorboard-2.16.2-py3-none-any.whl", hash = "sha256:9f2b4e7dad86667615c0e5cd072f1ea8403fc032a299f0072d6f74855775cc45"},
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|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.dependencies]
|
|
|
|
|
absl-py = ">=0.4"
|
|
|
|
|
grpcio = ">=1.48.2"
|
|
|
|
|
markdown = ">=2.6.8"
|
|
|
|
|
numpy = ">=1.12.0"
|
|
|
|
|
protobuf = ">=3.19.6,<4.24.0 || >4.24.0"
|
|
|
|
|
setuptools = ">=41.0.0"
|
|
|
|
|
six = ">1.9"
|
|
|
|
|
tensorboard-data-server = ">=0.7.0,<0.8.0"
|
|
|
|
|
werkzeug = ">=1.0.1"
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "tensorboard-data-server"
|
|
|
|
|
version = "0.7.2"
|
|
|
|
|
description = "Fast data loading for TensorBoard"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.7"
|
|
|
|
|
files = [
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|
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|
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{file = "tensorboard_data_server-0.7.2-py3-none-any.whl", hash = "sha256:7e0610d205889588983836ec05dc098e80f97b7e7bbff7e994ebb78f578d0ddb"},
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{file = "tensorboard_data_server-0.7.2-py3-none-macosx_10_9_x86_64.whl", hash = "sha256:9fe5d24221b29625dbc7328b0436ca7fc1c23de4acf4d272f1180856e32f9f60"},
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|
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{file = "tensorboard_data_server-0.7.2-py3-none-manylinux_2_31_x86_64.whl", hash = "sha256:ef687163c24185ae9754ed5650eb5bc4d84ff257aabdc33f0cc6f74d8ba54530"},
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|
|
|
]
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "tensorboardx"
|
|
|
|
|
version = "2.6.2.2"
|
|
|
|
|
description = "TensorBoardX lets you watch Tensors Flow without Tensorflow"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = "*"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "tensorboardX-2.6.2.2-py2.py3-none-any.whl", hash = "sha256:160025acbf759ede23fd3526ae9d9bfbfd8b68eb16c38a010ebe326dc6395db8"},
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{file = "tensorboardX-2.6.2.2.tar.gz", hash = "sha256:c6476d7cd0d529b0b72f4acadb1269f9ed8b22f441e87a84f2a3b940bb87b666"},
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|
]
|
|
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|
|
|
|
|
|
|
[package.dependencies]
|
|
|
|
|
numpy = "*"
|
|
|
|
|
packaging = "*"
|
|
|
|
|
protobuf = ">=3.20"
|
|
|
|
|
|
2024-02-29 02:11:29 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "tensordict"
|
2024-04-06 00:38:29 +08:00
|
|
|
version = "0.4.0+f622b2f"
|
2024-02-29 02:11:29 +08:00
|
|
|
description = ""
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = "*"
|
|
|
|
|
files = []
|
|
|
|
|
develop = false
|
|
|
|
|
|
|
|
|
|
[package.dependencies]
|
|
|
|
|
cloudpickle = "*"
|
|
|
|
|
numpy = "*"
|
|
|
|
|
torch = ">=2.1.0"
|
|
|
|
|
|
|
|
|
|
[package.extras]
|
|
|
|
|
checkpointing = ["torchsnapshot-nightly"]
|
|
|
|
|
h5 = ["h5py (>=3.8)"]
|
|
|
|
|
tests = ["pytest", "pytest-benchmark", "pytest-instafail", "pytest-rerunfailures", "pyyaml"]
|
|
|
|
|
|
|
|
|
|
[package.source]
|
|
|
|
|
type = "git"
|
|
|
|
|
url = "https://github.com/pytorch/tensordict"
|
|
|
|
|
reference = "HEAD"
|
2024-04-05 18:41:11 +08:00
|
|
|
resolved_reference = "f622b2f973320f769b6c09793ca827f27e47d603"
|
2024-02-29 02:11:29 +08:00
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "termcolor"
|
|
|
|
|
version = "2.4.0"
|
|
|
|
|
description = "ANSI color formatting for output in terminal"
|
|
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|
|
optional = false
|
|
|
|
|
python-versions = ">=3.8"
|
|
|
|
|
files = [
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{file = "termcolor-2.4.0-py3-none-any.whl", hash = "sha256:9297c0df9c99445c2412e832e882a7884038a25617c60cea2ad69488d4040d63"},
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{file = "termcolor-2.4.0.tar.gz", hash = "sha256:aab9e56047c8ac41ed798fa36d892a37aca6b3e9159f3e0c24bc64a9b3ac7b7a"},
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|
|
]
|
|
|
|
|
|
|
|
|
|
[package.extras]
|
|
|
|
|
tests = ["pytest", "pytest-cov"]
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "tifffile"
|
|
|
|
|
version = "2024.2.12"
|
|
|
|
|
description = "Read and write TIFF files"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.9"
|
|
|
|
|
files = [
|
|
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|
|
{file = "tifffile-2024.2.12-py3-none-any.whl", hash = "sha256:870998f82fbc94ff7c3528884c1b0ae54863504ff51dbebea431ac3fa8fb7c21"},
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|
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{file = "tifffile-2024.2.12.tar.gz", hash = "sha256:4920a3ec8e8e003e673d3c6531863c99eedd570d1b8b7e141c072ed78ff8030d"},
|
|
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|
|
]
|
|
|
|
|
|
|
|
|
|
[package.dependencies]
|
|
|
|
|
numpy = "*"
|
|
|
|
|
|
|
|
|
|
[package.extras]
|
|
|
|
|
all = ["defusedxml", "fsspec", "imagecodecs (>=2023.8.12)", "lxml", "matplotlib", "zarr"]
|
|
|
|
|
|
2024-03-05 23:03:03 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "tomli"
|
|
|
|
|
version = "2.0.1"
|
|
|
|
|
description = "A lil' TOML parser"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.7"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
|
|
|
|
|
{file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
|
|
|
|
|
]
|
|
|
|
|
|
2024-02-29 02:11:29 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "torch"
|
2024-04-05 18:41:11 +08:00
|
|
|
version = "2.2.2"
|
2024-02-29 02:11:29 +08:00
|
|
|
description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.8.0"
|
|
|
|
|
files = [
|
2024-04-05 18:41:11 +08:00
|
|
|
{file = "torch-2.2.2-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:bc889d311a855dd2dfd164daf8cc903a6b7273a747189cebafdd89106e4ad585"},
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{file = "torch-2.2.2-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:15dffa4cc3261fa73d02f0ed25f5fa49ecc9e12bf1ae0a4c1e7a88bbfaad9030"},
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|
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{file = "torch-2.2.2-cp310-cp310-win_amd64.whl", hash = "sha256:11e8fe261233aeabd67696d6b993eeb0896faa175c6b41b9a6c9f0334bdad1c5"},
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{file = "torch-2.2.2-cp310-none-macosx_10_9_x86_64.whl", hash = "sha256:b2e2200b245bd9f263a0d41b6a2dab69c4aca635a01b30cca78064b0ef5b109e"},
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{file = "torch-2.2.2-cp310-none-macosx_11_0_arm64.whl", hash = "sha256:877b3e6593b5e00b35bbe111b7057464e76a7dd186a287280d941b564b0563c2"},
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{file = "torch-2.2.2-cp311-cp311-manylinux1_x86_64.whl", hash = "sha256:ad4c03b786e074f46606f4151c0a1e3740268bcf29fbd2fdf6666d66341c1dcb"},
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{file = "torch-2.2.2-cp311-cp311-manylinux2014_aarch64.whl", hash = "sha256:32827fa1fbe5da8851686256b4cd94cc7b11be962862c2293811c94eea9457bf"},
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{file = "torch-2.2.2-cp311-cp311-win_amd64.whl", hash = "sha256:f9ef0a648310435511e76905f9b89612e45ef2c8b023bee294f5e6f7e73a3e7c"},
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{file = "torch-2.2.2-cp311-none-macosx_10_9_x86_64.whl", hash = "sha256:95b9b44f3bcebd8b6cd8d37ec802048c872d9c567ba52c894bba90863a439059"},
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{file = "torch-2.2.2-cp311-none-macosx_11_0_arm64.whl", hash = "sha256:49aa4126ede714c5aeef7ae92969b4b0bbe67f19665106463c39f22e0a1860d1"},
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{file = "torch-2.2.2-cp312-cp312-manylinux1_x86_64.whl", hash = "sha256:cf12cdb66c9c940227ad647bc9cf5dba7e8640772ae10dfe7569a0c1e2a28aca"},
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|
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{file = "torch-2.2.2-cp312-cp312-manylinux2014_aarch64.whl", hash = "sha256:89ddac2a8c1fb6569b90890955de0c34e1724f87431cacff4c1979b5f769203c"},
|
|
|
|
|
{file = "torch-2.2.2-cp312-cp312-win_amd64.whl", hash = "sha256:451331406b760f4b1ab298ddd536486ab3cfb1312614cfe0532133535be60bea"},
|
|
|
|
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{file = "torch-2.2.2-cp312-none-macosx_10_9_x86_64.whl", hash = "sha256:eb4d6e9d3663e26cd27dc3ad266b34445a16b54908e74725adb241aa56987533"},
|
|
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|
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{file = "torch-2.2.2-cp312-none-macosx_11_0_arm64.whl", hash = "sha256:bf9558da7d2bf7463390b3b2a61a6a3dbb0b45b161ee1dd5ec640bf579d479fc"},
|
|
|
|
|
{file = "torch-2.2.2-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:cd2bf7697c9e95fb5d97cc1d525486d8cf11a084c6af1345c2c2c22a6b0029d0"},
|
|
|
|
|
{file = "torch-2.2.2-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:b421448d194496e1114d87a8b8d6506bce949544e513742b097e2ab8f7efef32"},
|
|
|
|
|
{file = "torch-2.2.2-cp38-cp38-win_amd64.whl", hash = "sha256:3dbcd563a9b792161640c0cffe17e3270d85e8f4243b1f1ed19cca43d28d235b"},
|
|
|
|
|
{file = "torch-2.2.2-cp38-none-macosx_10_9_x86_64.whl", hash = "sha256:31f4310210e7dda49f1fb52b0ec9e59382cfcb938693f6d5378f25b43d7c1d29"},
|
|
|
|
|
{file = "torch-2.2.2-cp38-none-macosx_11_0_arm64.whl", hash = "sha256:c795feb7e8ce2e0ef63f75f8e1ab52e7fd5e1a4d7d0c31367ade1e3de35c9e95"},
|
|
|
|
|
{file = "torch-2.2.2-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:a6e5770d68158d07456bfcb5318b173886f579fdfbf747543901ce718ea94782"},
|
|
|
|
|
{file = "torch-2.2.2-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:67dcd726edff108e2cd6c51ff0e416fd260c869904de95750e80051358680d24"},
|
|
|
|
|
{file = "torch-2.2.2-cp39-cp39-win_amd64.whl", hash = "sha256:539d5ef6c4ce15bd3bd47a7b4a6e7c10d49d4d21c0baaa87c7d2ef8698632dfb"},
|
|
|
|
|
{file = "torch-2.2.2-cp39-none-macosx_10_9_x86_64.whl", hash = "sha256:dff696de90d6f6d1e8200e9892861fd4677306d0ef604cb18f2134186f719f82"},
|
|
|
|
|
{file = "torch-2.2.2-cp39-none-macosx_11_0_arm64.whl", hash = "sha256:3a4dd910663fd7a124c056c878a52c2b0be4a5a424188058fe97109d4436ee42"},
|
2024-02-29 02:11:29 +08:00
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.dependencies]
|
|
|
|
|
filelock = "*"
|
|
|
|
|
fsspec = "*"
|
|
|
|
|
jinja2 = "*"
|
|
|
|
|
networkx = "*"
|
|
|
|
|
nvidia-cublas-cu12 = {version = "12.1.3.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
|
|
|
|
nvidia-cuda-cupti-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
|
|
|
|
nvidia-cuda-nvrtc-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
|
|
|
|
nvidia-cuda-runtime-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
|
|
|
|
nvidia-cudnn-cu12 = {version = "8.9.2.26", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
|
|
|
|
nvidia-cufft-cu12 = {version = "11.0.2.54", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
|
|
|
|
nvidia-curand-cu12 = {version = "10.3.2.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
|
|
|
|
nvidia-cusolver-cu12 = {version = "11.4.5.107", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
|
|
|
|
nvidia-cusparse-cu12 = {version = "12.1.0.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
|
|
|
|
nvidia-nccl-cu12 = {version = "2.19.3", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
|
|
|
|
nvidia-nvtx-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
|
|
|
|
sympy = "*"
|
|
|
|
|
triton = {version = "2.2.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.12\""}
|
|
|
|
|
typing-extensions = ">=4.8.0"
|
|
|
|
|
|
|
|
|
|
[package.extras]
|
|
|
|
|
opt-einsum = ["opt-einsum (>=3.3)"]
|
|
|
|
|
optree = ["optree (>=0.9.1)"]
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "torchrl"
|
|
|
|
|
version = "0.4.0+13bef42"
|
|
|
|
|
description = ""
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = "*"
|
|
|
|
|
files = []
|
|
|
|
|
develop = false
|
|
|
|
|
|
|
|
|
|
[package.dependencies]
|
|
|
|
|
cloudpickle = "*"
|
|
|
|
|
numpy = "*"
|
|
|
|
|
packaging = "*"
|
|
|
|
|
tensordict = ">=0.4.0"
|
|
|
|
|
torch = ">=2.1.0"
|
|
|
|
|
|
|
|
|
|
[package.extras]
|
Add Aloha env and ACT policy
WIP Aloha env tests pass
Rendering works (fps look fast tho? TODO action bounding is too wide [-1,1])
Update README
Copy past from act repo
Remove download.py add a WIP for Simxarm
Remove download.py add a WIP for Simxarm
Add act yaml (TODO: try train.py)
Training can runs (TODO: eval)
Add tasks without end_effector that are compatible with dataset, Eval can run (TODO: training and pretrained model)
Add AbstractEnv, Refactor AlohaEnv, Add rendering_hook in env, Minor modifications, (TODO: Refactor Pusht and Simxarm)
poetry lock
fix bug in compute_stats for action normalization
fix more bugs in normalization
fix training
fix import
PushtEnv inheriates AbstractEnv, Improve factory Normalization
Add _make_env to EnvAbstract
Add call_rendering_hooks to pusht env
SimxarmEnv inherites from AbstractEnv (NOT TESTED)
Add aloha tests artifacts + update pusht stats
fix image normalization: before env was in [0,1] but dataset in [0,255], and now both in [0,255]
Small fix on simxarm
Add next to obs
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
2024-03-08 17:47:39 +08:00
|
|
|
all = ["ale-py", "atari-py", "dm_control", "git", "gym", "gym[accept-rom-license]", "gymnasium", "h5py", "huggingface_hub", "hydra-core (>=1.1)", "hydra-submitit-launcher", "minari", "moviepy", "mujoco", "pandas", "pettingzoo (>=1.24.1)", "pillow", "pygame", "pytest", "pytest-instafail", "pyyaml", "requests", "scikit-learn", "scipy", "tensorboard", "torchsnapshot", "torchvision", "tqdm", "vmas (>=1.2.10)", "wandb"]
|
2024-02-29 02:11:29 +08:00
|
|
|
atari = ["ale-py", "atari-py", "gym", "gym[accept-rom-license]", "pygame"]
|
|
|
|
|
checkpointing = ["torchsnapshot"]
|
Add Aloha env and ACT policy
WIP Aloha env tests pass
Rendering works (fps look fast tho? TODO action bounding is too wide [-1,1])
Update README
Copy past from act repo
Remove download.py add a WIP for Simxarm
Remove download.py add a WIP for Simxarm
Add act yaml (TODO: try train.py)
Training can runs (TODO: eval)
Add tasks without end_effector that are compatible with dataset, Eval can run (TODO: training and pretrained model)
Add AbstractEnv, Refactor AlohaEnv, Add rendering_hook in env, Minor modifications, (TODO: Refactor Pusht and Simxarm)
poetry lock
fix bug in compute_stats for action normalization
fix more bugs in normalization
fix training
fix import
PushtEnv inheriates AbstractEnv, Improve factory Normalization
Add _make_env to EnvAbstract
Add call_rendering_hooks to pusht env
SimxarmEnv inherites from AbstractEnv (NOT TESTED)
Add aloha tests artifacts + update pusht stats
fix image normalization: before env was in [0,1] but dataset in [0,255], and now both in [0,255]
Small fix on simxarm
Add next to obs
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
2024-03-08 17:47:39 +08:00
|
|
|
dm-control = ["dm_control"]
|
2024-02-29 02:11:29 +08:00
|
|
|
gym-continuous = ["gymnasium", "mujoco"]
|
|
|
|
|
marl = ["pettingzoo (>=1.24.1)", "vmas (>=1.2.10)"]
|
Add Aloha env and ACT policy
WIP Aloha env tests pass
Rendering works (fps look fast tho? TODO action bounding is too wide [-1,1])
Update README
Copy past from act repo
Remove download.py add a WIP for Simxarm
Remove download.py add a WIP for Simxarm
Add act yaml (TODO: try train.py)
Training can runs (TODO: eval)
Add tasks without end_effector that are compatible with dataset, Eval can run (TODO: training and pretrained model)
Add AbstractEnv, Refactor AlohaEnv, Add rendering_hook in env, Minor modifications, (TODO: Refactor Pusht and Simxarm)
poetry lock
fix bug in compute_stats for action normalization
fix more bugs in normalization
fix training
fix import
PushtEnv inheriates AbstractEnv, Improve factory Normalization
Add _make_env to EnvAbstract
Add call_rendering_hooks to pusht env
SimxarmEnv inherites from AbstractEnv (NOT TESTED)
Add aloha tests artifacts + update pusht stats
fix image normalization: before env was in [0,1] but dataset in [0,255], and now both in [0,255]
Small fix on simxarm
Add next to obs
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
2024-03-08 17:47:39 +08:00
|
|
|
offline-data = ["h5py", "huggingface_hub", "minari", "pandas", "pillow", "requests", "scikit-learn", "torchvision", "tqdm"]
|
2024-02-29 02:11:29 +08:00
|
|
|
rendering = ["moviepy"]
|
|
|
|
|
tests = ["pytest", "pytest-instafail", "pyyaml", "scipy"]
|
|
|
|
|
utils = ["git", "hydra-core (>=1.1)", "hydra-submitit-launcher", "tensorboard", "tqdm", "wandb"]
|
|
|
|
|
|
|
|
|
|
[package.source]
|
|
|
|
|
type = "git"
|
|
|
|
|
url = "https://github.com/pytorch/rl"
|
|
|
|
|
reference = "13bef426dcfa5887c6e5034a6e9697993fa92c37"
|
|
|
|
|
resolved_reference = "13bef426dcfa5887c6e5034a6e9697993fa92c37"
|
|
|
|
|
|
2024-03-05 23:03:03 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "torchvision"
|
2024-04-05 18:41:11 +08:00
|
|
|
version = "0.17.2"
|
2024-03-05 23:03:03 +08:00
|
|
|
description = "image and video datasets and models for torch deep learning"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.8"
|
|
|
|
|
files = [
|
2024-04-05 18:41:11 +08:00
|
|
|
{file = "torchvision-0.17.2-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:1f2910fe3c21ad6875b2720d46fad835b2e4b336e9553d31ca364d24c90b1d4f"},
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{file = "torchvision-0.17.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ecc1c503fa8a54fbab777e06a7c228032b8ab78efebf35b28bc8f22f544f51f1"},
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{file = "torchvision-0.17.2-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:f400145fc108833e7c2fc28486a04989ca742146d7a2a2cc48878ebbb40cdbbd"},
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{file = "torchvision-0.17.2-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:e9e4bed404af33dfc92eecc2b513d21ddc4c242a7fd8708b3b09d3a26aa6f444"},
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{file = "torchvision-0.17.2-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:9b83e55ee7d0a1704f52b9c0ac87388e7a6d1d98a6bde7b0b35f9ab54d7bda54"},
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{file = "torchvision-0.17.2-cp38-cp38-macosx_10_13_x86_64.whl", hash = "sha256:b83aac8d78f48981146d582168d75b6c947cfb0a7693f76e219f1926f6e595a3"},
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{file = "torchvision-0.17.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:1ece40557e122d79975860a005aa7e2a9e2e6c350a03e78a00ec1450083312fd"},
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{file = "torchvision-0.17.2-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:35ba5c1600c3203549d2316422a659bd20c0cfda1b6085eec94fb9f35f55ca43"},
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{file = "torchvision-0.17.2-cp39-cp39-macosx_10_13_x86_64.whl", hash = "sha256:4868bbfa55758c8107e69a0e7dd5e77b89056035cd38b767ad5b98cdb71c0f0d"},
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|
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|
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{file = "torchvision-0.17.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:efd6d0dd0668e15d01a2cffadc74068433b32cbcf5692e0c4aa15fc5cb250ce7"},
|
|
|
|
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{file = "torchvision-0.17.2-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:7dc85b397f6c6d9ef12716ce0d6e11ac2b803f5cccff6fe3966db248e7774478"},
|
|
|
|
|
{file = "torchvision-0.17.2-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:d506854c5acd69b20a8b6641f01fe841685a21c5406b56813184f1c9fc94279e"},
|
|
|
|
|
{file = "torchvision-0.17.2-cp39-cp39-win_amd64.whl", hash = "sha256:067095e87a020a7a251ac1d38483aa591c5ccb81e815527c54db88a982fc9267"},
|
2024-03-05 23:03:03 +08:00
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.dependencies]
|
|
|
|
|
numpy = "*"
|
|
|
|
|
pillow = ">=5.3.0,<8.3.dev0 || >=8.4.dev0"
|
2024-04-05 18:41:11 +08:00
|
|
|
torch = "2.2.2"
|
2024-03-05 23:03:03 +08:00
|
|
|
|
|
|
|
|
[package.extras]
|
|
|
|
|
scipy = ["scipy"]
|
|
|
|
|
|
2024-02-29 02:11:29 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "tqdm"
|
|
|
|
|
version = "4.66.2"
|
|
|
|
|
description = "Fast, Extensible Progress Meter"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.7"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "tqdm-4.66.2-py3-none-any.whl", hash = "sha256:1ee4f8a893eb9bef51c6e35730cebf234d5d0b6bd112b0271e10ed7c24a02bd9"},
|
|
|
|
|
{file = "tqdm-4.66.2.tar.gz", hash = "sha256:6cd52cdf0fef0e0f543299cfc96fec90d7b8a7e88745f411ec33eb44d5ed3531"},
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.dependencies]
|
|
|
|
|
colorama = {version = "*", markers = "platform_system == \"Windows\""}
|
|
|
|
|
|
|
|
|
|
[package.extras]
|
|
|
|
|
dev = ["pytest (>=6)", "pytest-cov", "pytest-timeout", "pytest-xdist"]
|
|
|
|
|
notebook = ["ipywidgets (>=6)"]
|
|
|
|
|
slack = ["slack-sdk"]
|
|
|
|
|
telegram = ["requests"]
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "triton"
|
|
|
|
|
version = "2.2.0"
|
|
|
|
|
description = "A language and compiler for custom Deep Learning operations"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = "*"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "triton-2.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a2294514340cfe4e8f4f9e5c66c702744c4a117d25e618bd08469d0bfed1e2e5"},
|
|
|
|
|
{file = "triton-2.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:da58a152bddb62cafa9a857dd2bc1f886dbf9f9c90a2b5da82157cd2b34392b0"},
|
|
|
|
|
{file = "triton-2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0af58716e721460a61886668b205963dc4d1e4ac20508cc3f623aef0d70283d5"},
|
|
|
|
|
{file = "triton-2.2.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e8fe46d3ab94a8103e291bd44c741cc294b91d1d81c1a2888254cbf7ff846dab"},
|
|
|
|
|
{file = "triton-2.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b8ce26093e539d727e7cf6f6f0d932b1ab0574dc02567e684377630d86723ace"},
|
|
|
|
|
{file = "triton-2.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:227cc6f357c5efcb357f3867ac2a8e7ecea2298cd4606a8ba1e931d1d5a947df"},
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.dependencies]
|
|
|
|
|
filelock = "*"
|
|
|
|
|
|
|
|
|
|
[package.extras]
|
|
|
|
|
build = ["cmake (>=3.20)", "lit"]
|
|
|
|
|
tests = ["autopep8", "flake8", "isort", "numpy", "pytest", "scipy (>=1.7.1)", "torch"]
|
|
|
|
|
tutorials = ["matplotlib", "pandas", "tabulate", "torch"]
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "typing-extensions"
|
2024-04-06 00:38:29 +08:00
|
|
|
version = "4.11.0"
|
2024-02-29 02:11:29 +08:00
|
|
|
description = "Backported and Experimental Type Hints for Python 3.8+"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.8"
|
|
|
|
|
files = [
|
2024-04-06 00:38:29 +08:00
|
|
|
{file = "typing_extensions-4.11.0-py3-none-any.whl", hash = "sha256:c1f94d72897edaf4ce775bb7558d5b79d8126906a14ea5ed1635921406c0387a"},
|
|
|
|
|
{file = "typing_extensions-4.11.0.tar.gz", hash = "sha256:83f085bd5ca59c80295fc2a82ab5dac679cbe02b9f33f7d83af68e241bea51b0"},
|
2024-02-29 02:11:29 +08:00
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "tzdata"
|
|
|
|
|
version = "2024.1"
|
|
|
|
|
description = "Provider of IANA time zone data"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=2"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "tzdata-2024.1-py2.py3-none-any.whl", hash = "sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252"},
|
|
|
|
|
{file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"},
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[[package]]
|
|
|
|
|
name = "urllib3"
|
|
|
|
|
version = "2.2.1"
|
|
|
|
|
description = "HTTP library with thread-safe connection pooling, file post, and more."
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.8"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "urllib3-2.2.1-py3-none-any.whl", hash = "sha256:450b20ec296a467077128bff42b73080516e71b56ff59a60a02bef2232c4fa9d"},
|
|
|
|
|
{file = "urllib3-2.2.1.tar.gz", hash = "sha256:d0570876c61ab9e520d776c38acbbb5b05a776d3f9ff98a5c8fd5162a444cf19"},
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.extras]
|
|
|
|
|
brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
|
|
|
|
|
h2 = ["h2 (>=4,<5)"]
|
|
|
|
|
socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
|
|
|
|
|
zstd = ["zstandard (>=0.18.0)"]
|
|
|
|
|
|
2024-02-29 19:26:35 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "virtualenv"
|
|
|
|
|
version = "20.25.1"
|
|
|
|
|
description = "Virtual Python Environment builder"
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.7"
|
|
|
|
|
files = [
|
|
|
|
|
{file = "virtualenv-20.25.1-py3-none-any.whl", hash = "sha256:961c026ac520bac5f69acb8ea063e8a4f071bcc9457b9c1f28f6b085c511583a"},
|
|
|
|
|
{file = "virtualenv-20.25.1.tar.gz", hash = "sha256:e08e13ecdca7a0bd53798f356d5831434afa5b07b93f0abdf0797b7a06ffe197"},
|
|
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.dependencies]
|
|
|
|
|
distlib = ">=0.3.7,<1"
|
|
|
|
|
filelock = ">=3.12.2,<4"
|
|
|
|
|
platformdirs = ">=3.9.1,<5"
|
|
|
|
|
|
|
|
|
|
[package.extras]
|
|
|
|
|
docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"]
|
|
|
|
|
test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8)", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10)"]
|
|
|
|
|
|
2024-02-29 02:11:29 +08:00
|
|
|
[[package]]
|
|
|
|
|
name = "wandb"
|
2024-04-05 18:41:11 +08:00
|
|
|
version = "0.16.6"
|
2024-02-29 02:11:29 +08:00
|
|
|
description = "A CLI and library for interacting with the Weights & Biases API."
|
|
|
|
|
optional = false
|
|
|
|
|
python-versions = ">=3.7"
|
|
|
|
|
files = [
|
2024-04-05 18:41:11 +08:00
|
|
|
{file = "wandb-0.16.6-py3-none-any.whl", hash = "sha256:5810019a3b981c796e98ea58557a7c380f18834e0c6bdaed15df115522e5616e"},
|
|
|
|
|
{file = "wandb-0.16.6.tar.gz", hash = "sha256:86f491e3012d715e0d7d7421a4d6de41abef643b7403046261f962f3e512fe1c"},
|
2024-02-29 02:11:29 +08:00
|
|
|
]
|
|
|
|
|
|
|
|
|
|
[package.dependencies]
|
|
|
|
|
appdirs = ">=1.4.3"
|
|
|
|
|
Click = ">=7.1,<8.0.0 || >8.0.0"
|
|
|
|
|
docker-pycreds = ">=0.4.0"
|
|
|
|
|
GitPython = ">=1.0.0,<3.1.29 || >3.1.29"
|
|
|
|
|
protobuf = {version = ">=3.19.0,<4.21.0 || >4.21.0,<5", markers = "python_version > \"3.9\" or sys_platform != \"linux\""}
|
|
|
|
|
psutil = ">=5.0.0"
|
|
|
|
|
PyYAML = "*"
|
|
|
|
|
requests = ">=2.0.0,<3"
|
|
|
|
|
sentry-sdk = ">=1.0.0"
|
|
|
|
|
setproctitle = "*"
|
|
|
|
|
setuptools = "*"
|
|
|
|
|
|
|
|
|
|
[package.extras]
|
|
|
|
|
async = ["httpx (>=0.23.0)"]
|
|
|
|
|
aws = ["boto3"]
|
|
|
|
|
azure = ["azure-identity", "azure-storage-blob"]
|
|
|
|
|
gcp = ["google-cloud-storage"]
|
Add Aloha env and ACT policy
WIP Aloha env tests pass
Rendering works (fps look fast tho? TODO action bounding is too wide [-1,1])
Update README
Copy past from act repo
Remove download.py add a WIP for Simxarm
Remove download.py add a WIP for Simxarm
Add act yaml (TODO: try train.py)
Training can runs (TODO: eval)
Add tasks without end_effector that are compatible with dataset, Eval can run (TODO: training and pretrained model)
Add AbstractEnv, Refactor AlohaEnv, Add rendering_hook in env, Minor modifications, (TODO: Refactor Pusht and Simxarm)
poetry lock
fix bug in compute_stats for action normalization
fix more bugs in normalization
fix training
fix import
PushtEnv inheriates AbstractEnv, Improve factory Normalization
Add _make_env to EnvAbstract
Add call_rendering_hooks to pusht env
SimxarmEnv inherites from AbstractEnv (NOT TESTED)
Add aloha tests artifacts + update pusht stats
fix image normalization: before env was in [0,1] but dataset in [0,255], and now both in [0,255]
Small fix on simxarm
Add next to obs
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
2024-03-08 17:47:39 +08:00
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importers = ["filelock", "mlflow", "polars", "rich", "tenacity"]
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2024-02-29 02:11:29 +08:00
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kubeflow = ["google-cloud-storage", "kubernetes", "minio", "sh"]
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Add Aloha env and ACT policy
WIP Aloha env tests pass
Rendering works (fps look fast tho? TODO action bounding is too wide [-1,1])
Update README
Copy past from act repo
Remove download.py add a WIP for Simxarm
Remove download.py add a WIP for Simxarm
Add act yaml (TODO: try train.py)
Training can runs (TODO: eval)
Add tasks without end_effector that are compatible with dataset, Eval can run (TODO: training and pretrained model)
Add AbstractEnv, Refactor AlohaEnv, Add rendering_hook in env, Minor modifications, (TODO: Refactor Pusht and Simxarm)
poetry lock
fix bug in compute_stats for action normalization
fix more bugs in normalization
fix training
fix import
PushtEnv inheriates AbstractEnv, Improve factory Normalization
Add _make_env to EnvAbstract
Add call_rendering_hooks to pusht env
SimxarmEnv inherites from AbstractEnv (NOT TESTED)
Add aloha tests artifacts + update pusht stats
fix image normalization: before env was in [0,1] but dataset in [0,255], and now both in [0,255]
Small fix on simxarm
Add next to obs
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
2024-03-08 17:47:39 +08:00
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launch = ["PyYAML (>=6.0.0)", "awscli", "azure-containerregistry", "azure-identity", "azure-storage-blob", "boto3", "botocore", "chardet", "google-auth", "google-cloud-aiplatform", "google-cloud-artifact-registry", "google-cloud-compute", "google-cloud-storage", "iso8601", "kubernetes", "kubernetes-asyncio", "nbconvert", "nbformat", "optuna", "pydantic", "tomli", "typing-extensions"]
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2024-02-29 02:11:29 +08:00
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media = ["bokeh", "moviepy", "numpy", "pillow", "plotly (>=5.18.0)", "rdkit-pypi", "soundfile"]
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models = ["cloudpickle"]
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perf = ["orjson"]
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reports = ["pydantic (>=2.0.0)"]
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sweeps = ["sweeps (>=0.2.0)"]
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2024-03-21 18:18:50 +08:00
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[[package]]
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name = "werkzeug"
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2024-04-05 18:41:11 +08:00
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version = "3.0.2"
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2024-03-21 18:18:50 +08:00
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description = "The comprehensive WSGI web application library."
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optional = false
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python-versions = ">=3.8"
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files = [
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2024-04-05 18:41:11 +08:00
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{file = "werkzeug-3.0.2-py3-none-any.whl", hash = "sha256:3aac3f5da756f93030740bc235d3e09449efcf65f2f55e3602e1d851b8f48795"},
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{file = "werkzeug-3.0.2.tar.gz", hash = "sha256:e39b645a6ac92822588e7b39a692e7828724ceae0b0d702ef96701f90e70128d"},
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2024-03-21 18:18:50 +08:00
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]
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[package.dependencies]
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MarkupSafe = ">=2.1.1"
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[package.extras]
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watchdog = ["watchdog (>=2.3)"]
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2024-02-29 02:11:29 +08:00
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[[package]]
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name = "zarr"
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Add Aloha env and ACT policy
WIP Aloha env tests pass
Rendering works (fps look fast tho? TODO action bounding is too wide [-1,1])
Update README
Copy past from act repo
Remove download.py add a WIP for Simxarm
Remove download.py add a WIP for Simxarm
Add act yaml (TODO: try train.py)
Training can runs (TODO: eval)
Add tasks without end_effector that are compatible with dataset, Eval can run (TODO: training and pretrained model)
Add AbstractEnv, Refactor AlohaEnv, Add rendering_hook in env, Minor modifications, (TODO: Refactor Pusht and Simxarm)
poetry lock
fix bug in compute_stats for action normalization
fix more bugs in normalization
fix training
fix import
PushtEnv inheriates AbstractEnv, Improve factory Normalization
Add _make_env to EnvAbstract
Add call_rendering_hooks to pusht env
SimxarmEnv inherites from AbstractEnv (NOT TESTED)
Add aloha tests artifacts + update pusht stats
fix image normalization: before env was in [0,1] but dataset in [0,255], and now both in [0,255]
Small fix on simxarm
Add next to obs
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
2024-03-08 17:47:39 +08:00
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version = "2.17.1"
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2024-02-29 02:11:29 +08:00
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description = "An implementation of chunked, compressed, N-dimensional arrays for Python"
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optional = false
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python-versions = ">=3.9"
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files = [
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Add Aloha env and ACT policy
WIP Aloha env tests pass
Rendering works (fps look fast tho? TODO action bounding is too wide [-1,1])
Update README
Copy past from act repo
Remove download.py add a WIP for Simxarm
Remove download.py add a WIP for Simxarm
Add act yaml (TODO: try train.py)
Training can runs (TODO: eval)
Add tasks without end_effector that are compatible with dataset, Eval can run (TODO: training and pretrained model)
Add AbstractEnv, Refactor AlohaEnv, Add rendering_hook in env, Minor modifications, (TODO: Refactor Pusht and Simxarm)
poetry lock
fix bug in compute_stats for action normalization
fix more bugs in normalization
fix training
fix import
PushtEnv inheriates AbstractEnv, Improve factory Normalization
Add _make_env to EnvAbstract
Add call_rendering_hooks to pusht env
SimxarmEnv inherites from AbstractEnv (NOT TESTED)
Add aloha tests artifacts + update pusht stats
fix image normalization: before env was in [0,1] but dataset in [0,255], and now both in [0,255]
Small fix on simxarm
Add next to obs
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
Add top camera to Aloha env (TODO: make it compatible with set of cameras)
2024-03-08 17:47:39 +08:00
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{file = "zarr-2.17.1-py3-none-any.whl", hash = "sha256:e25df2741a6e92645f3890f30f3136d5b57a0f8f831094b024bbcab5f2797bc7"},
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{file = "zarr-2.17.1.tar.gz", hash = "sha256:564b3aa072122546fe69a0fa21736f466b20fad41754334b62619f088ce46261"},
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2024-02-29 02:11:29 +08:00
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]
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[package.dependencies]
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asciitree = "*"
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fasteners = {version = "*", markers = "sys_platform != \"emscripten\""}
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numcodecs = ">=0.10.0"
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numpy = ">=1.21.1"
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[package.extras]
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docs = ["numcodecs[msgpack]", "numpydoc", "pydata-sphinx-theme", "sphinx", "sphinx-automodapi", "sphinx-copybutton", "sphinx-design", "sphinx-issues"]
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jupyter = ["ipytree (>=0.2.2)", "ipywidgets (>=8.0.0)", "notebook"]
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[[package]]
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name = "zipp"
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2024-03-15 21:05:35 +08:00
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version = "3.18.1"
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2024-02-29 02:11:29 +08:00
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description = "Backport of pathlib-compatible object wrapper for zip files"
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optional = false
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python-versions = ">=3.8"
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files = [
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2024-03-15 21:05:35 +08:00
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{file = "zipp-3.18.1-py3-none-any.whl", hash = "sha256:206f5a15f2af3dbaee80769fb7dc6f249695e940acca08dfb2a4769fe61e538b"},
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{file = "zipp-3.18.1.tar.gz", hash = "sha256:2884ed22e7d8961de1c9a05142eb69a247f120291bc0206a00a7642f09b5b715"},
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2024-02-29 02:11:29 +08:00
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]
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[package.extras]
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2024-03-15 21:05:35 +08:00
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docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
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testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
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2024-02-29 02:11:29 +08:00
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2024-03-31 23:05:25 +08:00
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[extras]
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2024-04-06 00:38:29 +08:00
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pusht = ["gym_pusht"]
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2024-04-05 21:35:20 +08:00
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xarm = ["gym_xarm"]
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2024-03-31 23:05:25 +08:00
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2024-02-29 02:11:29 +08:00
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[metadata]
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lock-version = "2.0"
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python-versions = "^3.10"
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2024-04-05 21:35:20 +08:00
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content-hash = "c9524cdf000eaa755a2ab3be669118222b4f8b1c262013f103f6874cbd54eeb6"
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