search

jump-cellpainting / 2024_Chandrasekaran_NatureMethods

BSD 3-Clause "New" or "Revised" License
56 stars 11 forks source link

Resolve conda environment conflicts #67

Open shntnu opened 1 year ago

shntnu commented 1 year ago 
sw_vers -productVersion 
# 12.6.3
conda --version
# conda 23.1.0
conda env create --force --file benchmark/environment.yml
Collecting package metadata (repodata.json): done
Solving environment: | 
Found conflicts! Looking for incompatible packages.
This can take several minutes.  Press CTRL-C to abort.
failed                                                                                                                                                                                                                          
Solving environment: - 
Found conflicts! Looking for incompatible packages.
This can take several minutes.  Press CTRL-C to abort.
failed                                                                                                                                                                                                                          

UnsatisfiableError: The following specifications were found to be incompatible with each other:

Output in format: Requested package -> Available versions

Package tzdata conflicts for:
conda-forge::matplotlib=3.3.2 -> python[version='>=3.9,<3.10.0a0'] -> tzdata
conda-forge::tabulate=0.8.7 -> python -> tzdata
conda-forge::numpy=1.19.2 -> python[version='>=3.9,<3.10.0a0'] -> tzdata
conda-forge::pathlib=1.0.1 -> pypy3.9[version='>=7.3.9'] -> tzdata
conda-forge::xlrd==1.2.0 -> python -> tzdata
conda-forge::scipy=1.5.2 -> python[version='>=3.9,<3.10.0a0'] -> tzdata
conda-forge::umap-learn=0.5.2 -> python[version='>=3.10,<3.11.0a0'] -> tzdata
conda-forge::plotly=4.14.3 -> python -> tzdata
conda-forge::jupyter=1.0.0 -> python[version='>=3.11,<3.12.0a0'] -> tzdata
conda-forge::kneed=0.7.0 -> python -> tzdata
conda-forge::ipykernel=5.3.4 -> python[version='>=3.9,<3.10.0a0'] -> tzdata
conda-forge::pandas=1.1.3 -> python[version='>=3.9,<3.10.0a0'] -> tzdata

Package certifi conflicts for:
conda-forge::plotly=4.14.3 -> setuptools -> certifi[version='>=2016.09|>=2016.9.26']
conda-forge::umap-learn=0.5.2 -> setuptools -> certifi[version='>=2016.09|>=2016.9.26']
conda-forge::pandas=1.1.3 -> setuptools[version='<60.0.0'] -> certifi[version='>=2016.09|>=2016.9.26']
conda-forge::matplotlib=3.3.2 -> matplotlib-base[version='>=3.3.2,<3.3.3.0a0'] -> certifi[version='>=2020.06.20']
conda-forge::ipykernel=5.3.4 -> tornado[version='>=4.2'] -> certifi

Package six conflicts for:
conda-forge::plotly=4.14.3 -> six
conda-forge::ipykernel=5.3.4 -> traitlets[version='>=4.1'] -> six
conda-forge::pandas=1.1.3 -> python-dateutil[version='>=2.7.3'] -> six[version='>=1.5']
conda-forge::plotly=4.14.3 -> retrying[version='>=1.3.3'] -> six[version='>=1.7.0']

Package python conflicts for:
conda-forge::kneed=0.7.0 -> numpy -> python[version='2.7.*|3.5.*|3.6.*|>=2.7,<2.8.0a0|>=3.10,<3.11.0a0|>=3.11,<3.12.0a0|>=3.8,<3.9.0a0|>=3.9,<3.10.0a0|>=3.7,<3.8.0a0|>=3.6,<3.7.0a0|>=3.5,<3.6.0a0|3.4.*']
conda-forge::kneed=0.7.0 -> python
conda-forge::umap-learn=0.5.2 -> numba[version='>=0.51.2'] -> python[version='2.7.*|3.5.*|3.6.*|3.7.*|>=3.11,<3.12.0a0|>=3.6,<3.7.0a0|>=3.6|>=3.7|>=3.8|>=2.7,<2.8.0a0|>=3.5,<3.6.0a0|3.4.*|>=2.7|3.10.*|3.9.*|3.8.*']
conda-forge::pandas=1.1.3 -> numpy[version='>=1.18.5,<2.0a0'] -> python[version='2.7.*|3.5.*|3.6.*|>=2.7,<2.8.0a0|>=3.10,<3.11.0a0|>=3.11,<3.12.0a0|>=3.6|>=3.5,<3.6.0a0|>=3|3.4.*|3.7.*|3.9.*|3.8.*']
conda-forge::ipykernel=5.3.4 -> python[version='>=3.6,<3.7.0a0|>=3.8,<3.9.0a0|>=3.7,<3.8.0a0|>=3.9,<3.10.0a0']
conda-forge|conda-forge::python=3.8.5
conda-forge::seaborn=0.11.0 -> seaborn-base[version='>=0.11.0,<0.11.1.0a0'] -> python[version='2.7.*|3.5.*|3.6.*|>=2.7,<2.8.0a0|>=3.10,<3.11.0a0|>=3.6|>=3.8,<3.9.0a0|>=3.9,<3.10.0a0|>=3.11,<3.12.0a0|>=3.7,<3.8.0a0|>=3.6,<3.7.0a0|>=3.5,<3.6.0a0']
conda-forge::ipykernel=5.3.4 -> ipython[version='>=5.0'] -> python[version='2.7.*|3.5.*|3.6.*|>=3.10,<3.11.0a0|>=3.8|>=3.5,<3.6.0a0|>=2.7,<2.8.0a0|3.4.*|>=3.7|>=3.6.1|>=3.5|>=3.11,<3.12.0a0|>=3.6|3.8.*|3.7.*|3.9.*']
conda-forge::plotly=4.14.3 -> retrying[version='>=1.3.3'] -> python[version='2.7.*|3.5.*|3.6.*|3.4.*|>=3.7,<3.8.0a0|>=3.6,<3.7.0a0|>=2.7,<2.8.0a0|>=3.5,<3.6.0a0|>=3.7|>=3.8|>=3.8,<3.9.0a0|>=3.9,<3.10.0a0|>=3.10,<3.11.0a0|>=3.11,<3.12.0a0']
conda-forge::jupyter=1.0.0 -> ipykernel -> python[version='3.10.*|3.11.*|3.4.*|>=2.7,<2.8.0a0|>=3.5,<3.6.0a0|>=3.7|>=3.8|>=3.3|>=3.6|>=3.5|3.8.*|3.9.*|3.7.*']
conda-forge::matplotlib=3.3.2 -> python_abi=3.8[build=*_cp38] -> python[version='3.6.*|3.7.*|3.8.*|3.9.*']
conda-forge::scipy=1.5.2 -> numpy[version='>=1.18.5,<2.0a0'] -> python[version='3.6.*|3.9.*|>=3.10,<3.11.0a0|>=3.11,<3.12.0a0|>=2.7,<2.8.0a0|3.7.*|3.8.*']
conda-forge::numpy=1.19.2 -> python_abi=3.7[build=*_cp37m] -> python[version='3.6.*|3.7.*|3.8.*|3.9.*']
conda-forge::tabulate=0.8.7 -> python
conda-forge::scipy=1.5.2 -> python[version='>=3.6,<3.7.0a0|>=3.9,<3.10.0a0|>=3.7,<3.8.0a0|>=3.8,<3.9.0a0']
conda-forge::umap-learn=0.5.2 -> python[version='>=3.10,<3.11.0a0|>=3.7,<3.8.0a0|>=3.9,<3.10.0a0|>=3.8,<3.9.0a0']
conda-forge::xlrd==1.2.0 -> python
conda-forge::plotly=4.14.3 -> python
conda-forge::pandas=1.1.3 -> python[version='>=3.6,<3.7.0a0|>=3.7,<3.8.0a0|>=3.9,<3.10.0a0|>=3.8,<3.9.0a0']
conda-forge::pathlib=1.0.1 -> python[version='2.7.*|3.4.*|3.5.*|3.6.*|>=2.7,<2.8.0a0|>=3.10,<3.11.0a0|>=3.11,<3.12.0a0|>=3.8,<3.9.0a0|>=3.9,<3.10.0a0|>=3.7,<3.8.0a0|>=3.6,<3.7.0a0']
conda-forge::numpy=1.19.2 -> python[version='>=3.6,<3.7.0a0|>=3.7,<3.8.0a0|>=3.8,<3.9.0a0|>=3.9,<3.10.0a0']
conda-forge::matplotlib=3.3.2 -> python[version='>=3.6,<3.7.0a0|>=3.8,<3.9.0a0|>=3.9,<3.10.0a0|>=3.7,<3.8.0a0']
conda-forge::jupyter=1.0.0 -> python[version='2.7.*|3.5.*|3.6.*|>=3.10,<3.11.0a0|>=3.11,<3.12.0a0|>=3.8,<3.9.0a0|>=3.9,<3.10.0a0|>=3.7,<3.8.0a0|>=3.6,<3.7.0a0']
conda-forge::python=3.8.5
conda-forge::pathlib=1.0.1 -> python_abi=3.8[build=*_cp38] -> python[version='3.10.*|3.11.*|3.8.*|3.9.*|3.7.*']

Package ca-certificates conflicts for:
conda-forge::tabulate=0.8.7 -> python -> ca-certificates
conda-forge::plotly=4.14.3 -> python -> ca-certificates
conda-forge::python=3.8.5 -> openssl[version='>=1.1.1h,<1.1.2a'] -> ca-certificates
conda-forge::jupyter=1.0.0 -> python -> ca-certificates
conda-forge::kneed=0.7.0 -> python -> ca-certificates
conda-forge::xlrd==1.2.0 -> python -> ca-certificates
conda-forge::pathlib=1.0.1 -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates

Package setuptools conflicts for:
conda-forge::python=3.8.5 -> pip -> setuptools
conda-forge::umap-learn=0.5.2 -> setuptools
conda-forge::jupyter=1.0.0 -> ipykernel -> setuptools[version='>=60']
conda-forge::pandas=1.1.3 -> setuptools[version='<60.0.0']
conda-forge::plotly=4.14.3 -> setuptools
conda-forge::matplotlib=3.3.2 -> matplotlib-base[version='>=3.3.2,<3.3.3.0a0'] -> setuptools
conda-forge::ipykernel=5.3.4 -> ipython[version='>=5.0'] -> setuptools[version='>=18.5']

Package expat conflicts for:
conda-forge::jupyter=1.0.0 -> pypy3.7[version='>=7.3.7'] -> expat[version='>=2.2.10,<3.0.0a0|>=2.4.1,<3.0a0|>=2.2.9,<3.0.0a0|>=2.3.0,<3.0a0']
conda-forge::ipykernel=5.3.4 -> pypy3.6[version='>=7.3.2'] -> expat[version='>=2.2.10,<3.0.0a0|>=2.2.9,<3.0.0a0']
conda-forge::pathlib=1.0.1 -> pypy3.8[version='>=7.3.9'] -> expat[version='>=2.2.10,<3.0.0a0|>=2.3.0,<3.0a0|>=2.4.1,<3.0a0|>=2.4.7,<3.0a0|>=2.4.8,<3.0a0|>=2.4.9,<3.0a0|>=2.5.0,<3.0a0|>=2.2.9,<3.0.0a0']
conda-forge::pandas=1.1.3 -> pypy3.6[version='>=7.3.2'] -> expat[version='>=2.2.10,<3.0.0a0|>=2.2.9,<3.0.0a0']
conda-forge::scipy=1.5.2 -> pypy3.6[version='>=7.3.2'] -> expat[version='>=2.2.10,<3.0.0a0|>=2.2.9,<3.0.0a0']
conda-forge::matplotlib=3.3.2 -> pypy3.6[version='>=7.3.2'] -> expat[version='>=2.2.10,<3.0.0a0|>=2.2.9,<3.0.0a0']
conda-forge::numpy=1.19.2 -> pypy3.6[version='>=7.3.2'] -> expat[version='>=2.2.10,<3.0.0a0|>=2.2.9,<3.0.0a0']

Package scikit-learn conflicts for:
conda-forge::umap-learn=0.5.2 -> scikit-learn[version='>=0.22']
conda-forge::kneed=0.7.0 -> scikit-learn
conda-forge::umap-learn=0.5.2 -> pynndescent[version='>=0.5'] -> scikit-learn[version='>=0.18|>=0.19']

Package scipy conflicts for:
conda-forge::umap-learn=0.5.2 -> pynndescent[version='>=0.5'] -> scipy[version='>=0.19.1|>=1.0|>=1.3.2|>=1.1.0']
conda-forge::seaborn=0.11.0 -> seaborn-base[version='>=0.11.0,<0.11.1.0a0'] -> scipy[version='>=0.14|>=1.0|>=1.0.1|>=1.3|>=1.2']
conda-forge|conda-forge::scipy=1.5.2
conda-forge::kneed=0.7.0 -> scipy
conda-forge::umap-learn=0.5.2 -> scipy[version='>=1.3.1']
conda-forge::kneed=0.7.0 -> scikit-learn -> scipy[version='>=0.19.1|>=1.1.0|>=1.3.2']
conda-forge::scipy=1.5.2

Package numpy-base conflicts for:
conda-forge::scipy=1.5.2 -> numpy[version='>=1.18.5,<2.0a0'] -> numpy-base[version='1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.17.2.*|1.17.3.*|1.17.4.*|1.18.1.*|1.18.5.*|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.23.1|1.23.1|1.23.1|1.23.1|1.23.1|1.23.1|1.23.3|1.23.3|1.23.3|1.23.3|1.23.3|1.23.3|1.23.3|1.23.3|1.23.3|1.23.3|1.23.3|1.23.3|1.23.4|1.23.4|1.23.4|1.23.4|1.23.4|1.23.4|1.23.5|1.17.0|1.17.0',build='py36h6575580_0|py27ha711998_0|py36h6575580_0|py36ha711998_0|py36h6575580_0|py37h6575580_0|py27ha711998_0|py27h6575580_0|py39hd037223_1|py39h7ca7dfd_1|py39hd037223_3|py37hd037223_3|py36h4850c68_3|py38h6a6129a_4|py36h68fea81_0|py37h68fea81_0|py36hcfb5961_0|py38hcfb5961_0|py39h3a452eb_0|py38h50ba68f_1|py37h50ba68f_1|py38hf048a4f_1|py39hf048a4f_1|py37hf048a4f_1|py39h585ceec_0|py37h585ceec_0|py38h3a452eb_0|py39h3a452eb_0|py38h585ceec_0|py39hbbe2e76_0|py38he0bd621_0|py39hbbe2e76_0|py37hbbe2e76_0|py37he0bd621_0|py39he0bd621_0|py38he0bd621_0|py38he0bd621_0|py310he490955_0|py38he782bc1_1|py39h3b1a694_2|py38he782bc1_2|py37h3b1a694_2|py310h6d917f3_2|py38h3b1a694_3|py37h3b1a694_3|py38hbda7086_3|py37hbda7086_3|py310hfd2de13_0|py39h3b1a694_0|py38h3b1a694_0|py38heddfccc_1|py39heddfccc_1|py310h2a77c02_1|py310h8a30af7_1|py310h992e150_0|py38hc93c6d9_0|py39h9cd3388_0|py310ha98c3c9_0|py38h9cd3388_0|py39h9cd3388_0|py38hc93c6d9_0|py39hc93c6d9_0|py310h992e150_0|py310ha98c3c9_0|py38h9cd3388_0|py39hc93c6d9_0|py39hbda7086_1|py38hbda7086_1|py310h8a30af7_0|py39hbda7086_0|py38hbda7086_0|py310h2a77c02_0|py39heddfccc_0|py38heddfccc_0|py310h8a30af7_0|py38hbda7086_0|py39hbda7086_0|py310hfd2de13_0|py39h3b1a694_0|py38he782bc1_0|py39he782bc1_0|py310h6d917f3_0|py38h3b1a694_0|py310h8a30af7_3|py39hbda7086_3|py310hfd2de13_3|py39h3b1a694_3|py38h3b1a694_2|py37he782bc1_2|py310hfd2de13_2|py39he782bc1_2|py37h3b1a694_1|py310hfd2de13_1|py310h6d917f3_1|py39he782bc1_1|py37he782bc1_1|py38h3b1a694_1|py39h3b1a694_1|py310h4c014f7_0|py38hbbe2e76_0|py39he0bd621_0|py37he0bd621_0|py37hbbe2e76_0|py39hbbe2e76_0|py38hbbe2e76_0|py37he0bd621_0|py38hbbe2e76_0|py37hbbe2e76_0|py39he0bd621_0|py37h3a452eb_0|py39h50ba68f_1|py39hde55871_0|py37h68fea81_0|py36h68fea81_0|py38h68fea81_0|py37hcfb5961_0|py36hcfb5961_0|py38hcfb5961_0|py37hcfb5961_0|py38h68fea81_0|py39h6a6129a_4|py37h6a6129a_4|py38hb6794ca_4|py39hb6794ca_4|py37hb6794ca_4|py37h4850c68_3|py38h4850c68_3|py39h4850c68_3|py38hd037223_3|py36hd037223_3|py38ha711998_0|py38h6575580_0|py37ha711998_0|py37h6575580_0|py27h6575580_0|py36ha711998_0|py37ha711998_0|py36ha711998_0']
conda-forge::pandas=1.1.3 -> numpy[version='>=1.18.5,<2.0a0'] -> numpy-base[version='1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.17.2.*|1.17.3.*|1.17.4.*|1.18.1.*|1.18.5.*|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.23.1|1.23.1|1.23.1|1.23.1|1.23.1|1.23.1|1.23.3|1.23.3|1.23.3|1.23.3|1.23.3|1.23.3|1.23.3|1.23.3|1.23.3|1.23.3|1.23.3|1.23.3|1.23.4|1.23.4|1.23.4|1.23.4|1.23.4|1.23.4|1.23.5|1.17.0|1.17.0',build='py27h8a80b8c_0|py37h8a80b8c_0|py27ha711998_0|py37h6575580_0|py36h6575580_0|py37h6575580_0|py36ha711998_0|py36h6575580_0|py27ha711998_1|py37h6575580_1|py36ha711998_1|py37ha711998_1|py27h6575580_1|py36h6575580_1|py36ha711998_0|py36h6575580_0|py37h6575580_0|py36ha711998_1|py27h6575580_1|py37h6575580_1|py27ha711998_1|py37ha711998_1|py36h6575580_1|py27ha711998_0|py36h6575580_0|py36ha711998_0|py27ha711998_0|py36h6575580_0|py37h6575580_0|py36h6575580_0|py36h6575580_0|py27ha711998_0|py36h6575580_0|py36ha711998_0|py36h6575580_0|py37h6575580_0|py27ha711998_0|py27h6575580_0|py39hd037223_1|py39h7ca7dfd_1|py39hd037223_3|py37hd037223_3|py36h4850c68_3|py38h6a6129a_4|py36h68fea81_0|py37h68fea81_0|py36hcfb5961_0|py38hcfb5961_0|py39h3a452eb_0|py38h50ba68f_1|py37h50ba68f_1|py38hf048a4f_1|py39hf048a4f_1|py37hf048a4f_1|py39h585ceec_0|py37h585ceec_0|py38h3a452eb_0|py39h3a452eb_0|py38h585ceec_0|py39hbbe2e76_0|py38he0bd621_0|py39hbbe2e76_0|py37hbbe2e76_0|py37he0bd621_0|py39he0bd621_0|py38he0bd621_0|py38he0bd621_0|py310he490955_0|py38he782bc1_1|py39h3b1a694_2|py38he782bc1_2|py37h3b1a694_2|py310h6d917f3_2|py38h3b1a694_3|py37h3b1a694_3|py38hbda7086_3|py37hbda7086_3|py310hfd2de13_0|py39h3b1a694_0|py38h3b1a694_0|py38heddfccc_1|py39heddfccc_1|py310h2a77c02_1|py310h8a30af7_1|py310h992e150_0|py38hc93c6d9_0|py39h9cd3388_0|py310ha98c3c9_0|py38h9cd3388_0|py39h9cd3388_0|py38hc93c6d9_0|py39hc93c6d9_0|py310h992e150_0|py310ha98c3c9_0|py38h9cd3388_0|py39hc93c6d9_0|py39hbda7086_1|py38hbda7086_1|py310h8a30af7_0|py39hbda7086_0|py38hbda7086_0|py310h2a77c02_0|py39heddfccc_0|py38heddfccc_0|py310h8a30af7_0|py38hbda7086_0|py39hbda7086_0|py310hfd2de13_0|py39h3b1a694_0|py38he782bc1_0|py39he782bc1_0|py310h6d917f3_0|py38h3b1a694_0|py310h8a30af7_3|py39hbda7086_3|py310hfd2de13_3|py39h3b1a694_3|py38h3b1a694_2|py37he782bc1_2|py310hfd2de13_2|py39he782bc1_2|py37h3b1a694_1|py310hfd2de13_1|py310h6d917f3_1|py39he782bc1_1|py37he782bc1_1|py38h3b1a694_1|py39h3b1a694_1|py310h4c014f7_0|py38hbbe2e76_0|py39he0bd621_0|py37he0bd621_0|py37hbbe2e76_0|py39hbbe2e76_0|py38hbbe2e76_0|py37he0bd621_0|py38hbbe2e76_0|py37hbbe2e76_0|py39he0bd621_0|py37h3a452eb_0|py39h50ba68f_1|py39hde55871_0|py37h68fea81_0|py36h68fea81_0|py38h68fea81_0|py37hcfb5961_0|py36hcfb5961_0|py38hcfb5961_0|py37hcfb5961_0|py38h68fea81_0|py39h6a6129a_4|py37h6a6129a_4|py38hb6794ca_4|py39hb6794ca_4|py37hb6794ca_4|py37h4850c68_3|py38h4850c68_3|py39h4850c68_3|py38hd037223_3|py36hd037223_3|py38ha711998_0|py38h6575580_0|py37ha711998_0|py37h6575580_0|py27h6575580_0|py36ha711998_0|py37ha711998_0|py36ha711998_0|py27h6575580_0|py27ha711998_0|py37ha711998_0|py36ha711998_0|py27h6575580_0|py37ha711998_0|py37h6575580_0|py37h6575580_0|py27h6575580_0|py37ha711998_0|py36ha711998_0|py27h6575580_0|py37ha711998_0|py27ha711998_0|py27h6575580_0|py37ha711998_0|py27ha711998_0|py27h6575580_0|py37ha711998_0|py36ha711998_0|py36h8a80b8c_0']
conda-forge::kneed=0.7.0 -> numpy -> numpy-base[version='1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.3|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.4|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.1|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.3|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.2|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.3|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.4|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.5|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.17.2.*|1.17.3.*|1.17.4.*|1.18.1.*|1.18.5.*|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.23.1|1.23.1|1.23.1|1.23.1|1.23.1|1.23.1|1.23.3|1.23.3|1.23.3|1.23.3|1.23.3|1.23.3|1.23.3|1.23.3|1.23.3|1.23.3|1.23.3|1.23.3|1.23.4|1.23.4|1.23.4|1.23.4|1.23.4|1.23.4|1.23.5|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|>=1.9.3,<2.0a0|1.17.0|1.17.0',build='py36h6575580_0|py27ha9ae307_6|py37h9797aa9_6|py36ha9ae307_6|py37h9797aa9_7|py37ha9ae307_7|py35h9797aa9_7|py35ha9ae307_7|py36h9797aa9_7|py27ha9ae307_7|py37h9797aa9_7|py36h9797aa9_7|py27ha9ae307_7|py37ha9ae307_7|py27ha9ae307_8|py27h9797aa9_8|py36h9797aa9_8|py37ha9ae307_8|py35ha9ae307_8|py27h8a80b8c_9|py36h8a80b8c_9|py27he97cb71_9|py36he97cb71_9|py35he97cb71_9|py37h42e5f7b_10|py27h42e5f7b_10|py35h42e5f7b_10|py37h8a80b8c_10|py36h42e5f7b_10|py35ha711998_10|py37ha711998_10|py36ha711998_10|py37ha711998_11|py36h6575580_11|py27h6575580_12|py37ha711998_12|py36ha711998_12|py38ha711998_12|py38ha711998_13|py38h6575580_13|py38ha711998_15|py35h479e554_1|py27h479e554_1|py35h7ef55bc_1|py27h9797aa9_0|py36ha9ae307_0|py36h9797aa9_0|py35ha9ae307_0|py36h9797aa9_0|py35ha9ae307_0|py35h9797aa9_0|py27h9797aa9_1|py36h9797aa9_1|py37h9797aa9_1|py36h9797aa9_2|py27h9797aa9_2|py37ha9ae307_2|py27h9797aa9_3|py27ha9ae307_3|py37ha9ae307_3|py27ha9ae307_4|py36h9797aa9_4|py37ha9ae307_4|py35h9797aa9_4|py35ha9ae307_4|py36ha711998_4|py37ha711998_4|py27ha711998_4|py36h8a80b8c_4|py27ha711998_5|py36h6575580_5|py27h6575580_5|py37ha711998_5|py37h6575580_5|py27h8a80b8c_0|py37he97cb71_0|py36he97cb71_0|py35h42e5f7b_0|py36h42e5f7b_0|py27h8a80b8c_0|py27ha711998_0|py35ha711998_0|py27h8a80b8c_0|py36ha711998_0|py27ha711998_1|py37ha711998_1|py36ha711998_1|py36h8a80b8c_1|py37h8a80b8c_1|py27ha711998_0|py27h8a80b8c_0|py27h8a80b8c_0|py27ha711998_0|py37ha711998_0|py37h6575580_0|py36h6575580_0|py37h6575580_0|py36h6575580_0|py27ha711998_1|py37h6575580_1|py36ha711998_1|py37ha711998_1|py36h6575580_0|py37h6575580_0|py36ha711998_1|py37h6575580_1|py27ha711998_1|py37ha711998_1|py36h6575580_1|py36h6575580_0|py36ha711998_0|py27ha711998_0|py36h6575580_0|py27ha711998_0|py37h6575580_0|py36h6575580_0|py27ha711998_0|py36h6575580_0|py36ha711998_0|py36h6575580_0|py37h6575580_0|py27ha711998_0|py27h6575580_0|py39hd037223_1|py39h7ca7dfd_1|py39hd037223_3|py37hd037223_3|py36h4850c68_3|py38h6a6129a_4|py36h68fea81_0|py37h68fea81_0|py36hcfb5961_0|py38hcfb5961_0|py39h3a452eb_0|py38h50ba68f_1|py37h50ba68f_1|py38hf048a4f_1|py39hf048a4f_1|py37hf048a4f_1|py39h585ceec_0|py37h585ceec_0|py38h3a452eb_0|py39h3a452eb_0|py38h585ceec_0|py39hbbe2e76_0|py38he0bd621_0|py39hbbe2e76_0|py37hbbe2e76_0|py37he0bd621_0|py39he0bd621_0|py38he0bd621_0|py38he0bd621_0|py310he490955_0|py38he782bc1_1|py39h3b1a694_2|py38he782bc1_2|py37h3b1a694_2|py310h6d917f3_2|py38h3b1a694_3|py37h3b1a694_3|py38hbda7086_3|py37hbda7086_3|py310hfd2de13_0|py39h3b1a694_0|py38h3b1a694_0|py38heddfccc_1|py39heddfccc_1|py310h2a77c02_1|py310h8a30af7_1|py310h992e150_0|py38hc93c6d9_0|py39h9cd3388_0|py310ha98c3c9_0|py38h9cd3388_0|py39h9cd3388_0|py38hc93c6d9_0|py39hc93c6d9_0|py310h992e150_0|py310ha98c3c9_0|py38h9cd3388_0|py39hc93c6d9_0|py39hbda7086_1|py38hbda7086_1|py310h8a30af7_0|py39hbda7086_0|py38hbda7086_0|py310h2a77c02_0|py39heddfccc_0|py38heddfccc_0|py310h8a30af7_0|py38hbda7086_0|py39hbda7086_0|py310hfd2de13_0|py39h3b1a694_0|py38he782bc1_0|py39he782bc1_0|py310h6d917f3_0|py38h3b1a694_0|py310h8a30af7_3|py39hbda7086_3|py310hfd2de13_3|py39h3b1a694_3|py38h3b1a694_2|py37he782bc1_2|py310hfd2de13_2|py39he782bc1_2|py37h3b1a694_1|py310hfd2de13_1|py310h6d917f3_1|py39he782bc1_1|py37he782bc1_1|py38h3b1a694_1|py39h3b1a694_1|py310h4c014f7_0|py38hbbe2e76_0|py39he0bd621_0|py37he0bd621_0|py37hbbe2e76_0|py39hbbe2e76_0|py38hbbe2e76_0|py37he0bd621_0|py38hbbe2e76_0|py37hbbe2e76_0|py39he0bd621_0|py37h3a452eb_0|py39h50ba68f_1|py39hde55871_0|py37h68fea81_0|py36h68fea81_0|py38h68fea81_0|py37hcfb5961_0|py36hcfb5961_0|py38hcfb5961_0|py37hcfb5961_0|py38h68fea81_0|py39h6a6129a_4|py37h6a6129a_4|py38hb6794ca_4|py39hb6794ca_4|py37hb6794ca_4|py37h4850c68_3|py38h4850c68_3|py39h4850c68_3|py38hd037223_3|py36hd037223_3|py38ha711998_0|py38h6575580_0|py37ha711998_0|py37h6575580_0|py27h6575580_0|py36ha711998_0|py37ha711998_0|py27h6575580_0|py37ha711998_0|py36ha711998_0|py27h6575580_0|py37ha711998_0|py37h6575580_0|py37h6575580_0|py27h6575580_0|py37ha711998_0|py27ha711998_0|py36ha711998_0|py27h6575580_1|py27h6575580_0|py37ha711998_0|py27ha711998_0|py36ha711998_0|py36h6575580_1|py27h6575580_1|py27h6575580_0|py36ha711998_0|py37ha711998_0|py27ha711998_0|py27h6575580_0|py36ha711998_0|py36h8a80b8c_0|py37h8a80b8c_0|py36h8a80b8c_0|py36ha711998_0|py37ha711998_0|py37h8a80b8c_0|py27h8a80b8c_1|py35ha711998_0|py36h8a80b8c_0|py37ha711998_0|py35h8a80b8c_0|py37h8a80b8c_0|py27ha711998_0|py37ha711998_0|py36ha711998_0|py35h8a80b8c_0|py37h8a80b8c_0|py27h42e5f7b_0|py36h8a80b8c_0|py37h42e5f7b_0|py35he97cb71_0|py35h8a80b8c_0|py36h8a80b8c_0|py37h8a80b8c_0|py27he97cb71_0|py36ha711998_5|py38h6575580_4|py38ha711998_4|py27h8a80b8c_4|py37h8a80b8c_4|py35h8a80b8c_4|py35ha711998_4|py37h9797aa9_4|py36ha9ae307_4|py27h9797aa9_4|py37h9797aa9_3|py36h9797aa9_3|py36ha9ae307_3|py27ha9ae307_2|py36ha9ae307_2|py37h9797aa9_2|py36ha9ae307_1|py27ha9ae307_1|py37ha9ae307_1|py27ha9ae307_0|py27h9797aa9_0|py36ha9ae307_0|py27ha9ae307_0|py35h9797aa9_0|py27h7ef55bc_1|py36h479e554_1|py36h7ef55bc_1|py38h6575580_15|py38h6575580_14|py38ha711998_14|py38h6575580_12|py37h6575580_12|py27ha711998_12|py36h6575580_12|py27h6575580_11|py37h6575580_11|py36ha711998_11|py27ha711998_11|py27ha711998_10|py35h8a80b8c_10|py27h8a80b8c_10|py36h8a80b8c_10|py35h8a80b8c_9|py37h8a80b8c_9|py37he97cb71_9|py35h9797aa9_8|py37h9797aa9_8|py36ha9ae307_8|py36ha9ae307_7|py27h9797aa9_7|py27h9797aa9_7|py36ha9ae307_7|py37ha9ae307_6|py36h9797aa9_6|py27h9797aa9_6|py36ha711998_0']
conda-forge::umap-learn=0.5.2 -> numpy[version='>=1.17'] -> numpy-base[version='1.17.0|1.17.0|1.17.2.*|1.17.3.*|1.17.4.*|1.18.1.*|1.18.5.*|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.20.3|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.2|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.22.3|1.23.1|1.23.1|1.23.1|1.23.1|1.23.1|1.23.1|1.23.3|1.23.3|1.23.3|1.23.3|1.23.3|1.23.3|1.23.3|1.23.3|1.23.3|1.23.3|1.23.3|1.23.3|1.23.4|1.23.4|1.23.4|1.23.4|1.23.4|1.23.4|1.23.5',build='py36h6575580_0|py36h68fea81_0|py37h68fea81_0|py36hcfb5961_0|py38hcfb5961_0|py39h3a452eb_0|py38h50ba68f_1|py37h50ba68f_1|py38hf048a4f_1|py39hf048a4f_1|py37hf048a4f_1|py39h585ceec_0|py37h585ceec_0|py38h3a452eb_0|py39h3a452eb_0|py38h585ceec_0|py39hbbe2e76_0|py38he0bd621_0|py39hbbe2e76_0|py37hbbe2e76_0|py37he0bd621_0|py39he0bd621_0|py38he0bd621_0|py38he0bd621_0|py310he490955_0|py38he782bc1_1|py39h3b1a694_2|py38he782bc1_2|py37h3b1a694_2|py310h6d917f3_2|py38h3b1a694_3|py37h3b1a694_3|py38hbda7086_3|py37hbda7086_3|py310hfd2de13_0|py39h3b1a694_0|py38h3b1a694_0|py38heddfccc_1|py39heddfccc_1|py310h2a77c02_1|py310h8a30af7_1|py310h992e150_0|py38hc93c6d9_0|py39h9cd3388_0|py310ha98c3c9_0|py38h9cd3388_0|py39h9cd3388_0|py38hc93c6d9_0|py39hc93c6d9_0|py310h992e150_0|py310ha98c3c9_0|py38h9cd3388_0|py39hc93c6d9_0|py39hbda7086_1|py38hbda7086_1|py310h8a30af7_0|py39hbda7086_0|py38hbda7086_0|py310h2a77c02_0|py39heddfccc_0|py38heddfccc_0|py310h8a30af7_0|py38hbda7086_0|py39hbda7086_0|py310hfd2de13_0|py39h3b1a694_0|py38he782bc1_0|py39he782bc1_0|py310h6d917f3_0|py38h3b1a694_0|py310h8a30af7_3|py39hbda7086_3|py310hfd2de13_3|py39h3b1a694_3|py38h3b1a694_2|py37he782bc1_2|py310hfd2de13_2|py39he782bc1_2|py37h3b1a694_1|py310hfd2de13_1|py310h6d917f3_1|py39he782bc1_1|py37he782bc1_1|py38h3b1a694_1|py39h3b1a694_1|py310h4c014f7_0|py38hbbe2e76_0|py39he0bd621_0|py37he0bd621_0|py37hbbe2e76_0|py39hbbe2e76_0|py38hbbe2e76_0|py37he0bd621_0|py38hbbe2e76_0|py37hbbe2e76_0|py39he0bd621_0|py37h3a452eb_0|py39h50ba68f_1|py39hde55871_0|py37h68fea81_0|py36h68fea81_0|py38h68fea81_0|py37hcfb5961_0|py36hcfb5961_0|py38hcfb5961_0|py37hcfb5961_0|py38h68fea81_0|py36ha711998_0']

Package packaging conflicts for:
conda-forge::seaborn=0.11.0 -> statsmodels[version='>=0.8.0'] -> packaging[version='>=21.3']
conda-forge::jupyter=1.0.0 -> ipykernel -> packaging

Package pypy3.9 conflicts for:
conda-forge::umap-learn=0.5.2 -> numpy[version='>=1.17'] -> pypy3.9[version='7.3.11.*|>=7.3.8|>=7.3.9|7.3.9.*|7.3.8.*']
conda-forge::scipy=1.5.2 -> numpy[version='>=1.18.5,<2.0a0'] -> pypy3.9[version='7.3.11.*|>=7.3.8|>=7.3.9|7.3.9.*|7.3.8.*']
conda-forge::pandas=1.1.3 -> numpy[version='>=1.18.5,<2.0a0'] -> pypy3.9[version='7.3.11.*|>=7.3.8|>=7.3.9|7.3.9.*|7.3.8.*']
conda-forge::matplotlib=3.3.2 -> python[version='>=3.9,<3.10.0a0'] -> pypy3.9[version='7.3.11.*|7.3.9.*|7.3.8.*']
conda-forge::seaborn=0.11.0 -> statsmodels[version='>=0.8.0'] -> pypy3.9[version='>=7.3.9']
conda-forge::pathlib=1.0.1 -> python[version='>=3.9,<3.10.0a0'] -> pypy3.9[version='7.3.*|7.3.11.*|7.3.9.*|7.3.8.*']
conda-forge::numpy=1.19.2 -> python[version='>=3.9,<3.10.0a0'] -> pypy3.9[version='7.3.11.*|7.3.9.*|7.3.8.*']
conda-forge::plotly=4.14.3 -> python -> pypy3.9[version='7.3.11.*|7.3.9.*|7.3.8.*|>=7.3.9|>=7.3.8']
conda-forge::tabulate=0.8.7 -> python -> pypy3.9[version='7.3.11.*|7.3.9.*|7.3.8.*']
conda-forge::jupyter=1.0.0 -> python[version='>=3.9,<3.10.0a0'] -> pypy3.9[version='7.3.11.*|7.3.9.*|7.3.8.*']
conda-forge::kneed=0.7.0 -> numpy -> pypy3.9[version='7.3.11.*|>=7.3.8|>=7.3.9|7.3.9.*|7.3.8.*']
conda-forge::pathlib=1.0.1 -> pypy3.9[version='>=7.3.8|>=7.3.9']
conda-forge::ipykernel=5.3.4 -> tornado[version='>=4.2'] -> pypy3.9[version='7.3.11.*|>=7.3.8|>=7.3.9|7.3.9.*|7.3.8.*']
conda-forge::xlrd==1.2.0 -> python -> pypy3.9[version='7.3.11.*|7.3.9.*|7.3.8.*']

Package numpy conflicts for:
conda-forge::kneed=0.7.0 -> numpy
conda-forge::matplotlib=3.3.2 -> matplotlib-base[version='>=3.3.2,<3.3.3.0a0'] -> numpy[version='>=1.15.4,<2.0a0|>=1.16.5,<2.0a0|>=1.18.5,<2.0a0|>=1.19.4,<2.0a0|>=1.19.2,<2.0a0|>=1.16.6,<2.0a0']
conda-forge::kneed=0.7.0 -> scikit-learn -> numpy[version='1.10.*|1.11.*|1.12.*|1.13.*|>=1.11.3,<2.0a0|>=1.14.6,<2.0a0|>=1.16.5,<2.0a0|>=1.16.6,<2.0a0|>=1.17.5,<2.0a0|>=1.18.5,<2.0a0|>=1.19.5,<2.0a0|>=1.20.3,<2.0a0|>=1.21.6,<2.0a0|>=1.23.5,<2.0a0|>=1.23.4,<2.0a0|>=1.21.5,<2.0a0|>=1.21.4,<2.0a0|>=1.19.4,<2.0a0|>=1.19.2,<2.0a0|>=1.9.3,<2.0a0|>=1.9|>=1.21.2,<2.0a0|>=1.23.5,<1.27|>=1.20.3,<1.27|>=1.21.6,<1.27|>=1.21.6,<1.26|>=1.20.3,<1.26|>=1.23.4,<1.26|>=1.20.3,<1.25|>=1.21.6,<1.25|>=1.20.3,<1.23|>=1.21.6,<1.23|>=1.18.1,<2.0a0|>=1.11|>=1.19,<1.26.0|>=1.21,<1.26.0|>=1.19,<1.25.0|>=1.21,<1.25.0|>=1.16,<1.23|>=1.21,<1.23|>=1.21.2,<1.23.0|>=1.16.6,<1.23.0|>=1.15.1,<2.0a0']
conda-forge::umap-learn=0.5.2 -> numpy[version='>=1.17']
conda-forge::umap-learn=0.5.2 -> numba[version='>=0.51.2'] -> numpy[version='>=1.11.3,<2.0a0|>=1.14.6,<2.0a0|>=1.16.5,<1.21.0a0|>=1.16.6,<1.21.0a0|>=1.17.5,<1.21.0a0|>=1.18.5,<2.0a0|>=1.19.5,<2.0a0|>=1.20.3,<2.0a0|>=1.21.6,<2.0a0|>=1.21.5,<2.0a0|>=1.19.5,<1.21.0a0|>=1.18,!=1.22.0,!=1.22.1,!=1.22.2,<1.24|>=1.19,!=1.22.0,!=1.22.1,!=1.22.2,<1.24|>=1.21,!=1.22.0,!=1.22.1,!=1.22.2,<1.24|>=1.18,!=1.22.0,!=1.22.1,!=1.22.2,<1.23|>=1.21,!=1.22.0,!=1.22.1,!=1.22.2,<1.23|>=1.19,!=1.22.0,!=1.22.1,!=1.22.2,<1.23|>=1.21.2,<2.0a0|>=1.16.6,<2.0a0|>=1.13|>=1.23.5,<2.0a0|>=1.23.4,<2.0a0|>=1.21.4,<2.0a0|>=1.17.5,<2.0a0|>=1.19.4,<2.0a0|>=1.16.5,<2.0a0|>=1.19.2,<2.0a0|>=1.23.5,<1.27|>=1.20.3,<1.27|>=1.21.6,<1.27|>=1.21.6,<1.26|>=1.20.3,<1.26|>=1.23.4,<1.26|>=1.20.3,<1.25|>=1.21.6,<1.25|>=1.20.3,<1.23|>=1.21.6,<1.23|>=1.18.1,<2.0a0|>=1.19,<1.26.0|>=1.21,<1.26.0|>=1.19,<1.25.0|>=1.21,<1.25.0|>=1.16,<1.23|>=1.21,<1.23|>=1.21.2,<1.23.0|>=1.16.6,<1.23.0']
conda-forge::numpy=1.19.2
conda-forge|conda-forge::numpy=1.19.2
conda-forge::pandas=1.1.3 -> numpy[version='>=1.15.4,<2.0a0|>=1.16.5,<2.0a0|>=1.18.5,<2.0a0|>=1.19.2,<2.0a0']
conda-forge::seaborn=0.11.0 -> seaborn-base[version='>=0.11.0,<0.11.1.0a0'] -> numpy[version='>=1.11.3,<2.0a0|>=1.11|>=1.14.6,<2.0a0|>=1.15.4,<2.0a0|>=1.15|>=1.20.3,<2.0a0|>=1.21.6,<2.0a0|>=1.23.4,<2.0a0|>=1.19.5,<2.0a0|>=1.18.5,<2.0a0|>=1.21.5,<2.0a0|>=1.21.4,<2.0a0|>=1.16.6,<2.0a0|>=1.16.5,<2.0a0|>=1.19.4,<2.0a0|>=1.19.2,<2.0a0|>=1.18.1,<2.0a0|>=1.17.3,<2.0a0|>=1.17.5,<2.0a0|>=1.9.3,<2.0a0|>=1.21.2,<2.0a0|>=1.17.0,<2.0a0|>=1.19.1,<2.0a0']
conda-forge::scipy=1.5.2 -> numpy[version='>=1.16.5,<2.0a0|>=1.18.5,<2.0a0|>=1.19.2,<2.0a0']

Package xz conflicts for:
plotly::python-kaleido=0.0.3 -> python[version='>=3.7,<3.8.0a0'] -> xz[version='5.2.*|>=5.2.10,<6.0a0|>=5.2.4,<5.3.0a0|>=5.2.5,<5.3.0a0|>=5.2.8,<6.0a0|>=5.2.6,<6.0a0|>=5.2.5,<6.0a0|>=5.2.4,<6.0a0|>=5.2.3,<5.3.0a0|>=5.2.3,<6.0a0']
conda-forge::xlrd==1.2.0 -> python -> xz[version='5.0.*|5.2.*|>=5.2.3,<5.3.0a0|>=5.2.4,<5.3.0a0|>=5.2.5,<5.3.0a0|>=5.2.6,<5.3.0a0|>=5.2.6,<6.0a0|>=5.2.8,<6.0a0|>=5.2.5,<6.0a0|>=5.2.10,<6.0a0|>=5.2.4,<6.0a0|>=5.2.3,<6.0a0']
conda-forge::jupyter=1.0.0 -> python[version='>=3.8,<3.9.0a0'] -> xz[version='5.0.*|5.2.*|>=5.2.10,<6.0a0|>=5.2.4,<5.3.0a0|>=5.2.5,<5.3.0a0|>=5.2.6,<6.0a0|>=5.2.5,<6.0a0|>=5.2.4,<6.0a0|>=5.2.6,<5.3.0a0|>=5.2.8,<6.0a0|>=5.2.3,<5.3.0a0|>=5.2.3,<6.0a0']
conda-forge::ipykernel=5.3.4 -> pypy3.6[version='>=7.3.2'] -> xz[version='5.2.*|>=5.2.3,<5.3.0a0|>=5.2.4,<5.3.0a0|>=5.2.5,<5.3.0a0|>=5.2.5,<6.0a0|>=5.2.4,<6.0a0|>=5.2.3,<6.0a0|>=5.2.6,<6.0a0|>=5.2.10,<6.0a0|>=5.2.8,<6.0a0']
conda-forge::tabulate=0.8.7 -> python -> xz[version='5.0.*|5.2.*|>=5.2.3,<5.3.0a0|>=5.2.4,<5.3.0a0|>=5.2.5,<5.3.0a0|>=5.2.6,<5.3.0a0|>=5.2.6,<6.0a0|>=5.2.8,<6.0a0|>=5.2.5,<6.0a0|>=5.2.10,<6.0a0|>=5.2.4,<6.0a0|>=5.2.3,<6.0a0']
conda-forge::plotly=4.14.3 -> python -> xz[version='5.0.*|5.2.*|>=5.2.3,<5.3.0a0|>=5.2.4,<5.3.0a0|>=5.2.5,<5.3.0a0|>=5.2.6,<5.3.0a0|>=5.2.6,<6.0a0|>=5.2.8,<6.0a0|>=5.2.5,<6.0a0|>=5.2.10,<6.0a0|>=5.2.4,<6.0a0|>=5.2.3,<6.0a0']
conda-forge::pandas=1.1.3 -> pypy3.6[version='>=7.3.2'] -> xz[version='5.2.*|>=5.2.3,<5.3.0a0|>=5.2.4,<5.3.0a0|>=5.2.5,<5.3.0a0|>=5.2.5,<6.0a0|>=5.2.4,<6.0a0|>=5.2.3,<6.0a0|>=5.2.8,<6.0a0|>=5.2.6,<6.0a0|>=5.2.10,<6.0a0']
conda-forge::scipy=1.5.2 -> pypy3.6[version='>=7.3.2'] -> xz[version='5.2.*|>=5.2.3,<5.3.0a0|>=5.2.4,<5.3.0a0|>=5.2.5,<5.3.0a0|>=5.2.5,<6.0a0|>=5.2.4,<6.0a0|>=5.2.3,<6.0a0|>=5.2.6,<6.0a0|>=5.2.8,<6.0a0|>=5.2.10,<6.0a0']
conda-forge::matplotlib=3.3.2 -> pypy3.6[version='>=7.3.2'] -> xz[version='5.2.*|>=5.2.3,<5.3.0a0|>=5.2.4,<5.3.0a0|>=5.2.5,<5.3.0a0|>=5.2.5,<6.0a0|>=5.2.4,<6.0a0|>=5.2.3,<6.0a0|>=5.2.6,<6.0a0|>=5.2.10,<6.0a0|>=5.2.8,<6.0a0']
conda-forge::kneed=0.7.0 -> python -> xz[version='5.0.*|5.2.*|>=5.2.3,<5.3.0a0|>=5.2.4,<5.3.0a0|>=5.2.5,<5.3.0a0|>=5.2.6,<5.3.0a0|>=5.2.6,<6.0a0|>=5.2.8,<6.0a0|>=5.2.5,<6.0a0|>=5.2.10,<6.0a0|>=5.2.4,<6.0a0|>=5.2.3,<6.0a0']
conda-forge::pathlib=1.0.1 -> python[version='>=3.8,<3.9.0a0'] -> xz[version='5.0.*|5.2.*|>=5.2.10,<6.0a0|>=5.2.4,<5.3.0a0|>=5.2.5,<5.3.0a0|>=5.2.6,<6.0a0|>=5.2.5,<6.0a0|>=5.2.4,<6.0a0|>=5.2.6,<5.3.0a0|>=5.2.8,<6.0a0|>=5.2.3,<5.3.0a0|>=5.2.3,<6.0a0']
conda-forge::numpy=1.19.2 -> pypy3.6[version='>=7.3.2'] -> xz[version='5.2.*|>=5.2.3,<5.3.0a0|>=5.2.4,<5.3.0a0|>=5.2.5,<5.3.0a0|>=5.2.5,<6.0a0|>=5.2.4,<6.0a0|>=5.2.3,<6.0a0|>=5.2.8,<6.0a0|>=5.2.6,<6.0a0|>=5.2.10,<6.0a0']
conda-forge::python=3.8.5 -> xz[version='>=5.2.5,<5.3.0a0']
conda-forge::umap-learn=0.5.2 -> python[version='>=3.7,<3.8.0a0'] -> xz[version='>=5.2.10,<6.0a0|>=5.2.4,<5.3.0a0|>=5.2.5,<5.3.0a0|>=5.2.8,<6.0a0|>=5.2.6,<6.0a0|>=5.2.5,<6.0a0|>=5.2.4,<6.0a0|>=5.2.6,<5.3.0a0']

Package openblas conflicts for:
conda-forge::numpy=1.19.2 -> libblas[version='>=3.8.0,<4.0a0'] -> openblas[version='0.3.5.*|>=0.3.6,<0.3.7.0a0']
conda-forge::kneed=0.7.0 -> numpy -> openblas[version='0.2.18.*|0.2.18|0.2.18.*|0.2.19|0.2.19.*|0.2.20|0.2.20.*|>=0.2.20,<0.2.21.0a0|>=0.3.3,<0.3.4.0a0|>=0.2.15']
conda-forge::pandas=1.1.3 -> numpy[version='>=1.15.4,<2.0a0'] -> openblas[version='>=0.3.3,<0.3.4.0a0']
conda-forge::scipy=1.5.2 -> libblas[version='>=3.8.0,<4.0a0'] -> openblas[version='0.3.5.*|>=0.3.6,<0.3.7.0a0']

Package pypy3.6 conflicts for:
conda-forge::scipy=1.5.2 -> numpy[version='>=1.18.5,<2.0a0'] -> pypy3.6[version='7.3.*|7.3.0.*|7.3.1.*|7.3.2.*|7.3.3.*|>=7.3.3']
conda-forge::umap-learn=0.5.2 -> numpy[version='>=1.17'] -> pypy3.6[version='>=7.3.1|>=7.3.2|>=7.3.3']
conda-forge::pandas=1.1.3 -> numpy[version='>=1.18.5,<2.0a0'] -> pypy3.6[version='7.3.*|7.3.0.*|7.3.1.*|7.3.2.*|7.3.3.*|>=7.3.1|>=7.3.3']
conda-forge::numpy=1.19.2 -> pypy3.6[version='>=7.3.2']
conda-forge::plotly=4.14.3 -> python -> pypy3.6[version='7.3.0.*|7.3.1.*|7.3.2.*|7.3.3.*|>=7.3.3|>=7.3.2|>=7.3.1']
conda-forge::matplotlib=3.3.2 -> pypy3.6[version='>=7.3.2']
conda-forge::scipy=1.5.2 -> pypy3.6[version='>=7.3.1|>=7.3.2']
conda-forge::matplotlib=3.3.2 -> matplotlib-base[version='>=3.3.2,<3.3.3.0a0'] -> pypy3.6[version='7.3.*|7.3.0.*|7.3.1.*|7.3.2.*|7.3.3.*|>=7.3.1']
conda-forge::ipykernel=5.3.4 -> ipython[version='>=5.0'] -> pypy3.6[version='7.3.*|7.3.0.*|7.3.1.*|7.3.2.*|7.3.3.*|>=7.3.3']
conda-forge::xlrd==1.2.0 -> python -> pypy3.6[version='7.3.0.*|7.3.1.*|7.3.2.*|7.3.3.*']
conda-forge::pandas=1.1.3 -> pypy3.6[version='>=7.3.2']
conda-forge::seaborn=0.11.0 -> statsmodels[version='>=0.8.0'] -> pypy3.6[version='>=7.3.3']
conda-forge::ipykernel=5.3.4 -> pypy3.6[version='>=7.3.1|>=7.3.2']
conda-forge::kneed=0.7.0 -> numpy -> pypy3.6[version='7.3.0.*|7.3.1.*|7.3.2.*|7.3.3.*|>=7.3.1|>=7.3.2|>=7.3.3']
conda-forge::tabulate=0.8.7 -> python -> pypy3.6[version='7.3.0.*|7.3.1.*|7.3.2.*|7.3.3.*']
conda-forge::jupyter=1.0.0 -> ipykernel -> pypy3.6[version='7.3.*|7.3.0.*|7.3.1.*|7.3.2.*|7.3.3.*|>=7.3.1|>=7.3.2']
conda-forge::jupyter=1.0.0 -> pypy3.6[version='>=7.3.3']
conda-forge::pathlib=1.0.1 -> python[version='>=3.6,<3.7.0a0'] -> pypy3.6[version='7.3.*|7.3.0.*|7.3.1.*|7.3.2.*|7.3.3.*']
plotly::python-kaleido=0.0.3 -> python[version='>=3.6,<3.7.0a0'] -> pypy3.6[version='7.3.0.*|7.3.1.*|7.3.2.*|7.3.3.*']
conda-forge::pathlib=1.0.1 -> pypy3.6[version='>=7.3.2|>=7.3.3']
conda-forge::numpy=1.19.2 -> python[version='>=3.6,<3.7.0a0'] -> pypy3.6[version='7.3.*|7.3.0.*|7.3.1.*|7.3.2.*|7.3.3.*']

Package ipykernel conflicts for:
conda-forge::jupyter=1.0.0 -> ipykernel
conda-forge::ipykernel=5.3.4
conda-forge|conda-forge::ipykernel=5.3.4
conda-forge::jupyter=1.0.0 -> ipywidgets -> ipykernel[version='>=4.1|>=4.2.2|>=4.5.1']

Package llvm-openmp conflicts for:
conda-forge::scipy=1.5.2 -> libgfortran5[version='>=9.3.0'] -> llvm-openmp[version='>=10.0.1|>=8.0.0|>=8.0.1']
conda-forge::kneed=0.7.0 -> scikit-learn -> llvm-openmp[version='>=10.0.0|>=10.0.1|>=11.0.0|>=11.0.1|>=11.1.0|>=13.0.1|>=14.0.4|>=14.0.6|>=12.0.1|>=9.0.1|>=9.0.0|>=12.0.0']
conda-forge::umap-learn=0.5.2 -> numba[version='>=0.51.2'] -> llvm-openmp[version='>=10.0.0|>=11.0.0|>=11.0.1|>=11.1.0|>=13.0.1|>=14.0.4|>=14.0.6|>=15.0.5|>=14.0.3|>=12.0.1|>=12.0.0|>=10.0.1|>=9.0.1|>=9.0.0']

Package importlib_metadata conflicts for:
conda-forge::ipykernel=5.3.4 -> jupyter_client -> importlib_metadata[version='>=4.8.3']
conda-forge::umap-learn=0.5.2 -> numba[version='>=0.51.2'] -> importlib_metadata

Package tornado conflicts for:
conda-forge::matplotlib=3.3.2 -> matplotlib-base[version='>=3.3.2,<3.3.3.0a0'] -> tornado
conda-forge::jupyter=1.0.0 -> ipykernel -> tornado[version='>=4|>=4,<6|>=4.0|>=4.2|>=4.2,<7.0|>=5.0,<7.0|>=6.1|>=6.1,<7.0|>=5.0|>=5.0,<7|>=4.1,<7']
conda-forge::ipykernel=5.3.4 -> jupyter_client -> tornado[version='>=4.1,<6|>=4.1|>=6.0|>=6.2']
conda-forge::ipykernel=5.3.4 -> tornado[version='>=4.2']

Package libgfortran4 conflicts for:
conda-forge::kneed=0.7.0 -> scipy -> libgfortran4[version='>=7.5.0']
conda-forge::umap-learn=0.5.2 -> scipy[version='>=1.3.1'] -> libgfortran4[version='>=7.5.0']
conda-forge::scipy=1.5.2 -> libgfortran4[version='>=7.5.0']
conda-forge::numpy=1.19.2 -> libblas[version='>=3.8.0,<4.0a0'] -> libgfortran4[version='>=7.5.0']
conda-forge::scipy=1.5.2 -> libgfortran=4 -> libgfortran4

Package mkl conflicts for:
conda-forge::pandas=1.1.3 -> numpy[version='>=1.18.5,<2.0a0'] -> mkl[version='>=2018.0.3,<2019.0a0|>=2019.1,<2020.0a0|>=2019.3,<2020.0a0|>=2019.4,<2020.0a0|>=2021.2.0,<2022.0a0|>=2021.3.0,<2022.0a0|>=2021.4.0,<2022.0a0']
conda-forge::umap-learn=0.5.2 -> numpy[version='>=1.17'] -> mkl[version='>=2019.4,<2020.0a0|>=2021.2.0,<2022.0a0|>=2021.3.0,<2022.0a0|>=2021.4.0,<2022.0a0']
conda-forge::kneed=0.7.0 -> numpy -> mkl[version='>=2018.0.0,<2019.0a0|>=2018.0.1,<2019.0a0|>=2018.0.2,<2019.0a0|>=2018.0.3,<2019.0a0|>=2019.1,<2020.0a0|>=2019.3,<2020.0a0|>=2019.4,<2020.0a0|>=2021.2.0,<2022.0a0|>=2021.3.0,<2022.0a0|>=2021.4.0,<2022.0a0']
conda-forge::scipy=1.5.2 -> libblas[version='>=3.8.0,<4.0a0'] -> mkl[version='2019.1.*|>=2019.0,<2020.0a0|>=2020.0,<2021.0a0|>=2020.4,<2021.0a0|>=2021.2.0,<2022.0a0|>=2021.3.0,<2022.0a0|>=2021.4.0,<2022.0a0|>=2022.0.0,<2023.0a0|>=2022.1.0,<2023.0a0|>=2019.4,<2020.0a0']
conda-forge::numpy=1.19.2 -> libblas[version='>=3.8.0,<4.0a0'] -> mkl[version='2019.1.*|>=2019.0,<2020.0a0|>=2020.0,<2021.0a0|>=2020.4,<2021.0a0|>=2021.2.0,<2022.0a0|>=2021.3.0,<2022.0a0|>=2021.4.0,<2022.0a0|>=2022.0.0,<2023.0a0|>=2022.1.0,<2023.0a0']

Package python-dateutil conflicts for:
conda-forge::pandas=1.1.3 -> python-dateutil[version='>=2.7.3']
conda-forge::ipykernel=5.3.4 -> jupyter_client -> python-dateutil[version='>=2.1|>=2.8.2']
conda-forge::matplotlib=3.3.2 -> matplotlib-base[version='>=3.3.2,<3.3.3.0a0'] -> python-dateutil[version='>=2.1']

Package blis conflicts for:
conda-forge::numpy=1.19.2 -> libblas[version='>=3.8.0,<4.0a0'] -> blis[version='0.5.1.*|>=0.5.2,<0.5.3.0a0|>=0.6.0,<0.6.1.0a0|>=0.6.1,<0.6.2.0a0|>=0.7.0,<0.7.1.0a0|>=0.8.0,<0.8.1.0a0|>=0.8.1,<0.8.2.0a0|>=0.9.0,<0.9.1.0a0']
conda-forge::scipy=1.5.2 -> libblas[version='>=3.8.0,<4.0a0'] -> blis[version='0.5.1.*|>=0.5.2,<0.5.3.0a0|>=0.6.0,<0.6.1.0a0|>=0.6.1,<0.6.2.0a0|>=0.7.0,<0.7.1.0a0|>=0.8.0,<0.8.1.0a0|>=0.8.1,<0.8.2.0a0|>=0.9.0,<0.9.1.0a0']

Package pandas conflicts for:
conda-forge|conda-forge::pandas=1.1.3
conda-forge::pandas=1.1.3
conda-forge::seaborn=0.11.0 -> seaborn-base[version='>=0.11.0,<0.11.1.0a0'] -> pandas[version='>=0.14|>=0.21|>=0.23|>=1.0|>=0.25']

Package matplotlib-base conflicts for:
conda-forge::seaborn=0.11.0 -> seaborn-base[version='>=0.11.0,<0.11.1.0a0'] -> matplotlib-base[version='>=2.2']
conda-forge::matplotlib=3.3.2 -> matplotlib-base[version='>=3.3.2,<3.3.3.0a0']

Package importlib-metadata conflicts for:
conda-forge::umap-learn=0.5.2 -> numba[version='>=0.51.2'] -> importlib-metadata
conda-forge::jupyter=1.0.0 -> ipykernel -> importlib-metadata[version='<4|<5']The following specifications were found to be incompatible with your system:

  - feature:/osx-64::__osx==10.16=0
  - feature:|@/osx-64::__osx==10.16=0
  - conda-forge::ipykernel=5.3.4 -> ipython[version='>=5.0'] -> __osx
  - conda-forge::jupyter=1.0.0 -> ipykernel -> __osx

Your installed version is: 10.16

Note that strict channel priority may have removed packages required for satisfiability.
shntnu commented 1 year ago

Dropping this fixed it 

- plotly::python-kaleido=0.0.3
niranjchandrasekaran commented 1 year ago

Thanks for checking. I remember this environment breaking when I tried it in a different project. Since then, I have moved on this new environment (I seem to have forgotten to update it here)

- conda-forge::python=3.10.6
- conda-forge::pandas=1.5.1
- conda-forge::numpy=1.23.4
- conda-forge::pathlib=1.0.1
- conda-forge::jupyter=1.0.0
- conda-forge::ipykernel=6.17.1
- conda-forge::tabulate=0.9.0
- conda-forge::seaborn=0.12.1
- conda-forge::matplotlib=3.6.2
- conda-forge::plotly=5.11.0
- conda-forge::python-kaleido=0.2.1
- conda-forge::scipy=1.9.3
- conda-forge::kneed=0.7.0
- conda-forge::umap-learn=0.5.3

I will update the environment to these packages and make sure the notebooks don't break.

bethac07 commented 1 year ago

https://github.com/cytomining/profiling-recipe/issues/35