# scikit-learn と scikit-image をインストールするためのコマンド
!mamba install -y -q scikit-learn scikit-image

maestro env install

上記のコードは、maestro 環境をインストールするためのコードです。"maestro env install"というコマンドを実行すると、maestroというツールが使用する環境をインストールします。

ここで、「maestro」はデータエンジニアリングやデータサイエンスの分野で利用されるツールであり、「env install」はその環境をインストールするという操作を指示します。

# このファイルは自動生成されます。必要ではありませんが、gitリポジトリにコミットすることができます。
# ビルドの失敗を避けるため、このファイルを変更することはお勧めしません。

[conda]
_libgcc_mutex=0.1=conda_forge @ 16fe1c80
_openmp_mutex=4.5=2_gnu @ 16fe1c80
absl-py=2.1.0=pyhd8ed1ab_0 @ c7211bb6
altair=5.3.0=pyhd8ed1ab_0 @ c7211bb6
asttokens=2.4.1=pyhd8ed1ab_0 @ c7211bb6
attrs=23.2.0=pyh71513ae_0 @ c7211bb6
aws-c-auth=0.7.22=h96bc93b_2 @ e1c11c02
aws-c-cal=0.6.14=h88a6e22_1 @ e1c11c02
aws-c-common=0.9.19=h4ab18f5_0 @ e1c11c02
aws-c-compression=0.2.18=h83b837d_6 @ e1c11c02
aws-c-event-stream=0.4.2=ha47c788_12 @ e1c11c02
aws-c-http=0.8.1=h29d6fba_17 @ e1c11c02
aws-c-io=0.14.8=h21d4f22_5 @ e1c11c02
aws-c-mqtt=0.10.4=h759edc4_4 @ e1c11c02
aws-c-s3=0.5.9=h594631b_3 @ e1c11c02
aws-c-sdkutils=0.1.16=h83b837d_2 @ e1c11c02
aws-checksums=0.1.18=h83b837d_6 @ e1c11c02
aws-crt-cpp=0.26.9=he3a8b3b_0 @ e1c11c02
aws-sdk-cpp=1.11.329=hba8bd5f_3 @ e1c11c02
blinker=1.8.2=pyhd8ed1ab_0 @ c7211bb6
brotli-python=1.1.0=py310hc6cd4ac_1 @ e1c11c02
bzip2=1.0.8=hd590300_5 @ e1c11c02
c-ares=1.28.1=hd590300_0 @ e1c11c02
ca-certificates=2024.7.4=hbcca054_0 @ e1c11c02
cachetools=5.3.3=pyhd8ed1ab_0 @ c7211bb6
certifi=2024.7.4=pyhd8ed1ab_0 @ c7211bb6
cffi=1.16.0=py310h2fee648_0 @ e1c11c02
charset-normalizer=3.3.2=pyhd8ed1ab_0 @ c7211bb6
click=8.1.7=unix_pyh707e725_0 @ c7211bb6
comm=0.2.2=pyhd8ed1ab_0 @ c7211bb6
conjure-python-client=2.8.0=pyhd8ed1ab_0 @ c7211bb6
dash=2.17.1=pyhd8ed1ab_0 @ c7211bb6
debugpy=1.8.2=py310h76e45a6_0 @ e1c11c02
decorator=5.1.1=pyhd8ed1ab_0 @ fe451c34
exceptiongroup=1.2.0=pyhd8ed1ab_2 @ c7211bb6
executing=2.0.1=pyhd8ed1ab_0 @ c7211bb6
flask=3.0.3=pyhd8ed1ab_0 @ c7211bb6
foundry-data-sidecar-api=0.626.0=py_0 @ fe451c34
foundry-transforms-lib-python=0.639.0=py_0 @ fe451c34
freetype=2.12.1=h267a509_2 @ e1c11c02
gflags=2.2.2=he1b5a44_1004 @ 16fe1c80
gitdb=4.0.11=pyhd8ed1ab_0 @ c7211bb6
gitpython=3.1.43=pyhd8ed1ab_0 @ c7211bb6
glog=0.7.1=hbabe93e_0 @ e1c11c02
grpcio=1.62.2=py310h1b8f574_0 @ e1c11c02
h2=4.1.0=pyhd8ed1ab_0 @ fe451c34
hpack=4.0.0=pyh9f0ad1d_0 @ fe451c34
hyperframe=6.0.1=pyhd8ed1ab_0 @ fe451c34
idna=3.7=pyhd8ed1ab_0 @ c7211bb6
importlib-metadata=7.2.1=pyha770c72_0 @ c7211bb6
importlib_metadata=7.2.1=hd8ed1ab_0 @ c7211bb6
importlib_resources=6.4.0=pyhd8ed1ab_0 @ c7211bb6
ipykernel=6.29.5=pyh3099207_0 @ c7211bb6
ipython=8.26.0=pyh707e725_0 @ c7211bb6
ipywidgets=8.1.3=pyhd8ed1ab_0 @ c7211bb6
itsdangerous=2.2.0=pyhd8ed1ab_0 @ c7211bb6
jedi=0.19.1=pyhd8ed1ab_0 @ c7211bb6
jinja2=3.1.4=pyhd8ed1ab_0 @ c7211bb6
jsonschema=4.23.0=pyhd8ed1ab_0 @ c7211bb6
jsonschema-specifications=2023.12.1=pyhd8ed1ab_0 @ c7211bb6
jupyter_client=8.6.2=pyhd8ed1ab_0 @ c7211bb6
jupyter_core=5.7.2=py310hff52083_0 @ e1c11c02
jupyterlab_widgets=3.0.11=pyhd8ed1ab_0 @ c7211bb6
keyutils=1.6.1=h166bdaf_0 @ 16fe1c80
krb5=1.21.3=h659f571_0 @ e1c11c02
lcms2=2.16=hb7c19ff_0 @ e1c11c02
ld_impl_linux-64=2.40=hf3520f5_7 @ e1c11c02
lerc=4.0.0=h27087fc_0 @ 16fe1c80
libabseil=20240116.2=cxx17_h59595ed_0 @ e1c11c02
libarrow=16.1.0=hcb6531f_6_cpu @ e1c11c02
libarrow-acero=16.1.0=hac33072_6_cpu @ e1c11c02
libarrow-dataset=16.1.0=hac33072_6_cpu @ e1c11c02
libarrow-substrait=16.1.0=h7e0c224_6_cpu @ e1c11c02
libblas=3.9.0=22_linux64_openblas @ e1c11c02
libbrotlicommon=1.1.0=hd590300_1 @ e1c11c02
libbrotlidec=1.1.0=hd590300_1 @ e1c11c02
libbrotlienc=1.1.0=hd590300_1 @ e1c11c02
libcblas=3.9.0=22_linux64_openblas @ e1c11c02
libcrc32c=1.1.2=h9c3ff4c_0 @ 16fe1c80
libcurl=8.8.0=hca28451_1 @ e1c11c02
libdeflate=1.20=hd590300_0 @ e1c11c02
libedit=3.1.20191231=he28a2e2_2 @ 16fe1c80
libev=4.33=hd590300_2 @ e1c11c02
libevent=2.1.12=hf998b51_1 @ e1c11c02
libffi=3.4.2=h7f98852_5 @ 16fe1c80
libgcc-ng=14.1.0=h77fa898_0 @ e1c11c02
libgfortran-ng=14.1.0=h69a702a_0 @ e1c11c02
libgfortran5=14.1.0=hc5f4f2c_0 @ e1c11c02
libgomp=14.1.0=h77fa898_0 @ e1c11c02
libgoogle-cloud=2.24.0=h2736e30_0 @ e1c11c02
libgoogle-cloud-storage=2.24.0=h3d9a0c8_0 @ e1c11c02
libgrpc=1.62.2=h15f2491_0 @ e1c11c02
libjpeg-turbo=3.0.0=hd590300_1 @ e1c11c02
liblapack=3.9.0=22_linux64_openblas @ e1c11c02
libnghttp2=1.58.0=h47da74e_1 @ e1c11c02
libnsl=2.0.1=hd590300_0 @ e1c11c02
libopenblas=0.3.27=pthreads_hac2b453_1 @ e1c11c02
libparquet=16.1.0=h6a7eafb_6_cpu @ e1c11c02
libpng=1.6.43=h2797004_0 @ e1c11c02
libprotobuf=4.25.3=h08a7969_0 @ e1c11c02
libre2-11=2023.09.01=h5a48ba9_2 @ e1c11c02
libsodium=1.0.18=h36c2ea0_1 @ 16fe1c80
libssh2=1.11.0=h0841786_0 @ e1c11c02
libstdcxx-ng=14.1.0=hc0a3c3a_0 @ e1c11c02
libthrift=0.19.0=hb90f79a_1 @ e1c11c02
libtiff=4.6.0=h1dd3fc0_3 @ e1c11c02
libutf8proc=2.8.0=h166bdaf_0 @ 16fe1c80
libuuid=2.38.1=h0b41bf4_0 @ e1c11c02
libwebp-base=1.4.0=hd590300_0 @ e1c11c02
libxcb=1.15=h0b41bf4_0 @ e1c11c02
libzlib=1.2.13=h4ab18f5_6 @ e1c11c02
lz4-c=1.9.4=hcb278e6_0 @ e1c11c02
markdown=3.6=pyhd8ed1ab_0 @ c7211bb6
markdown-it-py=3.0.0=pyhd8ed1ab_0 @ c7211bb6
markupsafe=2.1.5=py310h2372a71_0 @ e1c11c02
matplotlib-inline=0.1.7=pyhd8ed1ab_0 @ c7211bb6
mdurl=0.1.2=pyhd8ed1ab_0 @ c7211bb6
ncurses=6.2=h58526e2_4 @ 16fe1c80
nest-asyncio=1.6.0=pyhd8ed1ab_0 @ c7211bb6
numpy=1.26.4=py310hb13e2d6_0 @ e1c11c02
openjpeg=2.5.2=h488ebb8_0 @ e1c11c02
openssl=3.3.1=h4ab18f5_1 @ e1c11c02
orc=2.0.1=h17fec99_1 @ e1c11c02
packaging=24.1=pyhd8ed1ab_0 @ c7211bb6
pandas=2.2.2=py310hf9f9076_1 @ e1c11c02
parso=0.8.4=pyhd8ed1ab_0 @ c7211bb6
pexpect=4.9.0=pyhd8ed1ab_0 @ c7211bb6
pickleshare=0.7.5=py_1003 @ fe451c34
pillow=10.3.0=py310hf73ecf8_0 @ e1c11c02
pip=24.0=pyhd8ed1ab_0 @ c7211bb6
pkgutil-resolve-name=1.3.10=pyhd8ed1ab_1 @ c7211bb6
platformdirs=4.2.2=pyhd8ed1ab_0 @ c7211bb6
plotly=5.22.0=pyhd8ed1ab_0 @ c7211bb6
polars=1.1.0=py310h3af5803_0 @ e1c11c02
prompt-toolkit=3.0.47=pyha770c72_0 @ c7211bb6
protobuf=4.25.3=py310ha8c1f0e_0 @ e1c11c02
psutil=6.0.0=py310hc51659f_0 @ e1c11c02
pthread-stubs=0.4=h36c2ea0_1001 @ 16fe1c80
ptyprocess=0.7.0=pyhd3deb0d_0 @ fe451c34
pure_eval=0.2.2=pyhd8ed1ab_0 @ fe451c34
pyarrow=16.1.0=py310h17c5347_1 @ e1c11c02
pyarrow-core=16.1.0=py310h6f79a3a_1_cpu @ e1c11c02
pycparser=2.22=pyhd8ed1ab_0 @ c7211bb6
pydeck=0.8.0=pyhd8ed1ab_0 @ fe451c34
pygments=2.18.0=pyhd8ed1ab_0 @ c7211bb6
pysocks=1.7.1=pyha2e5f31_6 @ fe451c34
python=3.10.2=h543edf9_0_cpython @ 16fe1c80
python-dateutil=2.9.0=pyhd8ed1ab_0 @ c7211bb6
python-tzdata=2024.1=pyhd8ed1ab_0 @ c7211bb6
python_abi=3.10=4_cp310 @ e1c11c02
pytz=2024.1=pyhd8ed1ab_0 @ c7211bb6
pyyaml=6.0.1=py310h2372a71_1 @ e1c11c02
pyzmq=26.0.3=py310h6883aea_0 @ e1c11c02
re2=2023.09.01=h7f4b329_2 @ e1c11c02
readline=8.1=h46c0cb4_0 @ 16fe1c80
referencing=0.35.1=pyhd8ed1ab_0 @ c7211bb6
requests=2.32.3=pyhd8ed1ab_0 @ c7211bb6
retrying=1.3.3=py_2 @ fe451c34
rich=13.7.1=pyhd8ed1ab_0 @ c7211bb6
rpds-py=0.19.0=py310h42e942d_0 @ e1c11c02
s2n=1.4.15=he19d79f_0 @ e1c11c02
setuptools=70.1.1=pyhd8ed1ab_0 @ c7211bb6
six=1.16.0=pyh6c4a22f_0 @ fe451c34
smmap=5.0.0=pyhd8ed1ab_0 @ fe451c34
snappy=1.2.1=ha2e4443_0 @ e1c11c02
sqlite=3.37.0=h9cd32fc_0 @ 16fe1c80
stack_data=0.6.2=pyhd8ed1ab_0 @ c7211bb6
streamlit=1.36.0=pyhd8ed1ab_0 @ c7211bb6
tenacity=8.5.0=pyhd8ed1ab_0 @ c7211bb6
tensorboard=2.17.0=pyhd8ed1ab_0 @ c7211bb6
tensorboard-data-server=0.7.0=py310h75e40e8_1 @ e1c11c02
tk=8.6.13=noxft_h4845f30_101 @ e1c11c02
toml=0.10.2=pyhd8ed1ab_0 @ fe451c34
toolz=0.12.1=pyhd8ed1ab_0 @ c7211bb6
tornado=6.4.1=py310hc51659f_0 @ e1c11c02
traitlets=5.14.3=pyhd8ed1ab_0 @ c7211bb6
typing-extensions=4.12.2=hd8ed1ab_0 @ c7211bb6
typing_extensions=4.12.2=pyha770c72_0 @ c7211bb6
tzdata=2024a=h0c530f3_0 @ c7211bb6
tzlocal=5.2=py310hff52083_0 @ e1c11c02
urllib3=2.2.2=pyhd8ed1ab_1 @ c7211bb6
validators=0.31.0=pyhd8ed1ab_0 @ c7211bb6
watchdog=4.0.1=py310hff52083_0 @ e1c11c02
wcwidth=0.2.13=pyhd8ed1ab_0 @ c7211bb6
werkzeug=3.0.3=pyhd8ed1ab_0 @ c7211bb6
wheel=0.43.0=pyhd8ed1ab_1 @ c7211bb6
widgetsnbextension=4.0.11=pyhd8ed1ab_0 @ c7211bb6
xorg-libxau=1.0.11=hd590300_0 @ e1c11c02
xorg-libxdmcp=1.1.3=h7f98852_0 @ 16fe1c80
xz=5.2.6=h166bdaf_0 @ 16fe1c80
yaml=0.2.5=h7f98852_2 @ 16fe1c80
zeromq=4.3.5=h75354e8_4 @ e1c11c02
zipp=3.19.2=pyhd8ed1ab_0 @ c7211bb6
zlib=1.2.13=h4ab18f5_6 @ e1c11c02
zstandard=0.22.0=py310hab88d88_1 @ e1c11c02
zstd=1.5.6=ha6fb4c9_0 @ e1c11c02

[pip]
brotli==1.1.0
importlib-resources==6.4.0
jupyter-client==8.6.2
jupyter-core==5.7.2
jupyterlab-widgets==3.0.11
pure-eval==0.2.2
stack-data==0.6.2

[conda-metadata]
16fe1c80 - linux-64 @ tar.bz2 @ ri.artifacts.repository.bundle.jupyter-default-environment
c7211bb6 - noarch @ conda @ ri.artifacts.repository.bundle.jupyter-default-environment
e1c11c02 - linux-64 @ conda @ ri.artifacts.repository.bundle.jupyter-default-environment
fe451c34 - noarch @ tar.bz2 @ ri.artifacts.repository.bundle.jupyter-default-environment

[conda lock version]
v3 - 0454ce4598cd475c502df1fe8a15b86ddae33cd74f97c833cb35f122e7555dfe