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April 11, 2020 14:00
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Log of cudf installation in colab - failure
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| using cudf instead of Pandas | |
| (Add -y for conda install rapidsai channel as below, else it waits for input) | |
| !wget -c https://repo.continuum.io/archive/Anaconda3-5.1.0-Linux-x86_64.sh | |
| !chmod +x Anaconda3-5.1.0-Linux-x86_64.sh | |
| !bash ./Anaconda3-5.1.0-Linux-x86_64.sh -b -f -p /usr/local | |
| !conda install -y -c rapidsai -c nvidia -c numba -c conda-forge \ | |
| cudf=0.13 python=3.6 cudatoolkit=10.1 | |
| import cudf | |
| Fri Apr 10 15:26:45 2020 | |
| +-----------------------------------------------------------------------------+ | |
| | NVIDIA-SMI 440.64.00 Driver Version: 418.67 CUDA Version: 10.1 | | |
| |-------------------------------+----------------------+----------------------+ | |
| | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | |
| | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | | |
| |===============================+======================+======================| | |
| | 0 Tesla P4 Off | 00000000:00:04.0 Off | 0 | | |
| | N/A 32C P8 7W / 75W | 0MiB / 7611MiB | 0% Default | | |
| +-------------------------------+----------------------+----------------------+ | |
| +-----------------------------------------------------------------------------+ | |
| | Processes: GPU Memory | | |
| | GPU PID Type Process name Usage | | |
| |=============================================================================| | |
| | No running processes found | | |
| +-----------------------------------------------------------------------------+ | |
| --2020-04-10 15:26:47-- https://repo.continuum.io/archive/Anaconda3-5.1.0-Linux-x86_64.sh | |
| Resolving repo.continuum.io (repo.continuum.io)... 104.18.200.79, 104.18.201.79, 2606:4700::6812:c84f, ... | |
| Connecting to repo.continuum.io (repo.continuum.io)|104.18.200.79|:443... connected. | |
| HTTP request sent, awaiting response... 301 Moved Permanently | |
| Location: https://repo.anaconda.com/archive/Anaconda3-5.1.0-Linux-x86_64.sh [following] | |
| --2020-04-10 15:26:47-- https://repo.anaconda.com/archive/Anaconda3-5.1.0-Linux-x86_64.sh | |
| Resolving repo.anaconda.com (repo.anaconda.com)... 104.16.130.3, 104.16.131.3, 2606:4700::6810:8203, ... | |
| Connecting to repo.anaconda.com (repo.anaconda.com)|104.16.130.3|:443... connected. | |
| HTTP request sent, awaiting response... 200 OK | |
| Length: 577996269 (551M) [application/x-sh] | |
| Saving to: ‘Anaconda3-5.1.0-Linux-x86_64.sh’ | |
| Anaconda3-5.1.0-Lin 100%[===================>] 551.22M 69.2MB/s in 7.7s | |
| 2020-04-10 15:26:54 (71.9 MB/s) - ‘Anaconda3-5.1.0-Linux-x86_64.sh’ saved [577996269/577996269] | |
| PREFIX=/usr/local | |
| installing: python-3.6.4-hc3d631a_1 ... | |
| Python 3.6.4 :: Anaconda, Inc. | |
| installing: ca-certificates-2017.08.26-h1d4fec5_0 ... | |
| installing: conda-env-2.6.0-h36134e3_1 ... | |
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| installing: anaconda-project-0.8.2-py36h44fb852_0 ... | |
| installing: jupyterlab_launcher-0.10.2-py36_0 ... | |
| installing: numpydoc-0.7.0-py36h18f165f_0 ... | |
| installing: widgetsnbextension-3.1.0-py36_0 ... | |
| installing: anaconda-navigator-1.7.0-py36_0 ... | |
| installing: ipywidgets-7.1.1-py36_0 ... | |
| installing: jupyterlab-0.31.5-py36_0 ... | |
| installing: spyder-3.2.6-py36_0 ... | |
| installing: _ipyw_jlab_nb_ext_conf-0.1.0-py36he11e457_0 ... | |
| installing: jupyter-1.0.0-py36_4 ... | |
| installing: anaconda-5.1.0-py36_2 ... | |
| installing: conda-4.4.10-py36_0 ... | |
| installing: conda-build-3.4.1-py36_0 ... | |
| installation finished. | |
| WARNING: | |
| You currently have a PYTHONPATH environment variable set. This may cause | |
| unexpected behavior when running the Python interpreter in Anaconda3. | |
| For best results, please verify that your PYTHONPATH only points to | |
| directories of packages that are compatible with the Python interpreter | |
| in Anaconda3: /usr/local | |
| Solving environment: done | |
| ==> WARNING: A newer version of conda exists. <== | |
| current version: 4.4.10 | |
| latest version: 4.8.3 | |
| Please update conda by running | |
| $ conda update -n base conda | |
| ## Package Plan ## | |
| environment location: /usr/local | |
| added / updated specs: | |
| - cudatoolkit=10.1 | |
| - cudf=0.13 | |
| - python=3.6 | |
| The following packages will be downloaded: | |
| package | build | |
| ---------------------------|----------------- | |
| ld_impl_linux-64-2.34 | h53a641e_0 616 KB conda-forge | |
| llvmlite-0.32.0rc1 | py36hf484d3e_0 17.6 MB numba | |
| ca-certificates-2020.4.5.1 | hecc5488_0 146 KB conda-forge | |
| zstd-1.4.4 | h3b9ef0a_2 982 KB conda-forge | |
| cudatoolkit-10.1.243 | h6bb024c_0 513.2 MB nvidia | |
| numba-0.49.0rc2 |np1.11py3.6h04863e7_g0e53b3c87_0 3.5 MB numba | |
| libevent-2.1.10 | h72c5cf5_0 1.3 MB conda-forge | |
| liblapack-3.8.0 | 16_openblas 10 KB conda-forge | |
| ncurses-6.1 | hf484d3e_1002 1.3 MB conda-forge | |
| readline-8.0 | hf8c457e_0 441 KB conda-forge | |
| python-3.6.10 |h8356626_1010_cpython 34.1 MB conda-forge | |
| c-ares-1.15.0 | h516909a_1001 100 KB conda-forge | |
| fastavro-0.23.1 | py36h8c4c3a4_0 422 KB conda-forge | |
| libprotobuf-3.11.4 | h8b12597_0 4.8 MB conda-forge | |
| llvm-openmp-9.0.1 | hc9558a2_2 782 KB conda-forge | |
| sqlite-3.30.1 | hcee41ef_0 2.0 MB conda-forge | |
| openssl-1.1.1f | h516909a_0 2.1 MB conda-forge | |
| uriparser-0.9.3 | he1b5a44_1 49 KB conda-forge | |
| fastrlock-0.4 |py36h831f99a_1001 32 KB conda-forge | |
| thrift-cpp-0.12.0 | hf3afdfd_1004 2.4 MB conda-forge | |
| glog-0.4.0 | he1b5a44_1 104 KB conda-forge | |
| zlib-1.2.11 | h516909a_1006 105 KB conda-forge | |
| grpc-cpp-1.25.0 | h213be95_2 5.1 MB conda-forge | |
| tk-8.6.10 | hed695b0_0 3.2 MB conda-forge | |
| nccl-2.4.6.1 | cuda10.1_0 66.9 MB nvidia | |
| pip-20.0.2 | py_2 1.0 MB conda-forge | |
| brotli-1.0.7 | he1b5a44_1001 1.0 MB conda-forge | |
| six-1.14.0 | py_1 13 KB conda-forge | |
| libcblas-3.8.0 | 16_openblas 10 KB conda-forge | |
| cudnn-7.6.0 | cuda10.1_0 240.9 MB nvidia | |
| wheel-0.34.2 | py_1 24 KB conda-forge | |
| double-conversion-3.1.5 | he1b5a44_2 85 KB conda-forge | |
| _openmp_mutex-4.5 | 0_gnu 435 KB conda-forge | |
| parquet-cpp-1.5.1 | 2 3 KB conda-forge | |
| pandas-0.25.3 | py36hb3f55d8_0 11.4 MB conda-forge | |
| libstdcxx-ng-9.2.0 | hdf63c60_2 4.5 MB conda-forge | |
| gflags-2.2.2 | he1b5a44_1002 175 KB conda-forge | |
| pytz-2019.3 | py_0 237 KB conda-forge | |
| libffi-3.2.1 | he1b5a44_1007 47 KB conda-forge | |
| librmm-0.13.0 | cuda10.1_0 70 KB rapidsai | |
| libopenblas-0.3.9 | h5ec1e0e_0 7.8 MB conda-forge | |
| re2-2020.04.01 | he1b5a44_0 438 KB conda-forge | |
| cudf-0.13.0 | py36_0 32.7 MB rapidsai | |
| libnvstrings-0.13.0 | cuda10.1_0 30.2 MB rapidsai | |
| nvstrings-0.13.0 | py36_0 129 KB rapidsai | |
| lz4-c-1.8.3 | he1b5a44_1001 187 KB conda-forge | |
| pyarrow-0.15.0 | py36h8b68381_1 3.2 MB conda-forge | |
| snappy-1.1.8 | he1b5a44_1 39 KB conda-forge | |
| xz-5.2.5 | h516909a_0 430 KB conda-forge | |
| libgcc-ng-9.2.0 | h24d8f2e_2 8.2 MB conda-forge | |
| libgomp-9.2.0 | h24d8f2e_2 816 KB conda-forge | |
| dlpack-0.2 | he1b5a44_1 13 KB conda-forge | |
| fsspec-0.6.3 | py_0 48 KB conda-forge | |
| libcudf-0.13.0 | cuda10.1_0 135.1 MB rapidsai | |
| setuptools-46.1.3 | py36h9f0ad1d_0 653 KB conda-forge | |
| python-dateutil-2.8.1 | py_0 220 KB conda-forge | |
| bzip2-1.0.8 | h516909a_2 396 KB conda-forge | |
| icu-64.2 | he1b5a44_1 12.6 MB conda-forge | |
| python_abi-3.6 | 1_cp36m 4 KB conda-forge | |
| cupy-7.3.0 | py36h5c369b2_0 15.4 MB conda-forge | |
| boost-cpp-1.70.0 | h8e57a91_2 21.1 MB conda-forge | |
| numpy-1.18.1 | py36h7314795_1 5.2 MB conda-forge | |
| _libgcc_mutex-0.1 | conda_forge 3 KB conda-forge | |
| certifi-2020.4.5.1 | py36h9f0ad1d_0 151 KB conda-forge | |
| arrow-cpp-0.15.1 | py36h982ac2c_6 18.4 MB conda-forge | |
| rmm-0.13.0 | py36_0 687 KB rapidsai | |
| libblas-3.8.0 | 16_openblas 10 KB conda-forge | |
| ------------------------------------------------------------ | |
| Total: 1.19 GB | |
| The following NEW packages will be INSTALLED: | |
| _libgcc_mutex: 0.1-conda_forge conda-forge | |
| _openmp_mutex: 4.5-0_gnu conda-forge | |
| arrow-cpp: 0.15.1-py36h982ac2c_6 conda-forge | |
| boost-cpp: 1.70.0-h8e57a91_2 conda-forge | |
| brotli: 1.0.7-he1b5a44_1001 conda-forge | |
| c-ares: 1.15.0-h516909a_1001 conda-forge | |
| cudatoolkit: 10.1.243-h6bb024c_0 nvidia | |
| cudf: 0.13.0-py36_0 rapidsai | |
| cudnn: 7.6.0-cuda10.1_0 nvidia | |
| cupy: 7.3.0-py36h5c369b2_0 conda-forge | |
| dlpack: 0.2-he1b5a44_1 conda-forge | |
| double-conversion: 3.1.5-he1b5a44_2 conda-forge | |
| fastavro: 0.23.1-py36h8c4c3a4_0 conda-forge | |
| fastrlock: 0.4-py36h831f99a_1001 conda-forge | |
| fsspec: 0.6.3-py_0 conda-forge | |
| gflags: 2.2.2-he1b5a44_1002 conda-forge | |
| glog: 0.4.0-he1b5a44_1 conda-forge | |
| grpc-cpp: 1.25.0-h213be95_2 conda-forge | |
| ld_impl_linux-64: 2.34-h53a641e_0 conda-forge | |
| libblas: 3.8.0-16_openblas conda-forge | |
| libcblas: 3.8.0-16_openblas conda-forge | |
| libcudf: 0.13.0-cuda10.1_0 rapidsai | |
| libevent: 2.1.10-h72c5cf5_0 conda-forge | |
| libgomp: 9.2.0-h24d8f2e_2 conda-forge | |
| liblapack: 3.8.0-16_openblas conda-forge | |
| libnvstrings: 0.13.0-cuda10.1_0 rapidsai | |
| libopenblas: 0.3.9-h5ec1e0e_0 conda-forge | |
| libprotobuf: 3.11.4-h8b12597_0 conda-forge | |
| librmm: 0.13.0-cuda10.1_0 rapidsai | |
| llvm-openmp: 9.0.1-hc9558a2_2 conda-forge | |
| lz4-c: 1.8.3-he1b5a44_1001 conda-forge | |
| nccl: 2.4.6.1-cuda10.1_0 nvidia | |
| nvstrings: 0.13.0-py36_0 rapidsai | |
| parquet-cpp: 1.5.1-2 conda-forge | |
| pyarrow: 0.15.0-py36h8b68381_1 conda-forge | |
| python_abi: 3.6-1_cp36m conda-forge | |
| re2: 2020.04.01-he1b5a44_0 conda-forge | |
| rmm: 0.13.0-py36_0 rapidsai | |
| snappy: 1.1.8-he1b5a44_1 conda-forge | |
| thrift-cpp: 0.12.0-hf3afdfd_1004 conda-forge | |
| uriparser: 0.9.3-he1b5a44_1 conda-forge | |
| zstd: 1.4.4-h3b9ef0a_2 conda-forge | |
| The following packages will be UPDATED: | |
| bzip2: 1.0.6-h9a117a8_4 --> 1.0.8-h516909a_2 conda-forge | |
| ca-certificates: 2017.08.26-h1d4fec5_0 --> 2020.4.5.1-hecc5488_0 conda-forge | |
| certifi: 2018.1.18-py36_0 --> 2020.4.5.1-py36h9f0ad1d_0 conda-forge | |
| icu: 58.2-h9c2bf20_1 --> 64.2-he1b5a44_1 conda-forge | |
| libffi: 3.2.1-hd88cf55_4 --> 3.2.1-he1b5a44_1007 conda-forge | |
| libgcc-ng: 7.2.0-h7cc24e2_2 --> 9.2.0-h24d8f2e_2 conda-forge | |
| libstdcxx-ng: 7.2.0-h7a57d05_2 --> 9.2.0-hdf63c60_2 conda-forge | |
| llvmlite: 0.21.0-py36ha241eea_0 --> 0.32.0rc1-py36hf484d3e_0 numba | |
| ncurses: 6.0-h9df7e31_2 --> 6.1-hf484d3e_1002 conda-forge | |
| numba: 0.36.2-np114py36hc6662d5_0 --> 0.49.0rc2-np1.11py3.6h04863e7_g0e53b3c87_0 numba | |
| numpy: 1.14.0-py36h3dfced4_1 --> 1.18.1-py36h7314795_1 conda-forge | |
| openssl: 1.0.2n-hb7f436b_0 --> 1.1.1f-h516909a_0 conda-forge | |
| pandas: 0.22.0-py36hf484d3e_0 --> 0.25.3-py36hb3f55d8_0 conda-forge | |
| pip: 9.0.1-py36h6c6f9ce_4 --> 20.0.2-py_2 conda-forge | |
| python: 3.6.4-hc3d631a_1 --> 3.6.10-h8356626_1010_cpython conda-forge | |
| python-dateutil: 2.6.1-py36h88d3b88_1 --> 2.8.1-py_0 conda-forge | |
| pytz: 2017.3-py36h63b9c63_0 --> 2019.3-py_0 conda-forge | |
| readline: 7.0-ha6073c6_4 --> 8.0-hf8c457e_0 conda-forge | |
| setuptools: 38.4.0-py36_0 --> 46.1.3-py36h9f0ad1d_0 conda-forge | |
| six: 1.11.0-py36h372c433_1 --> 1.14.0-py_1 conda-forge | |
| sqlite: 3.22.0-h1bed415_0 --> 3.30.1-hcee41ef_0 conda-forge | |
| tk: 8.6.7-hc745277_3 --> 8.6.10-hed695b0_0 conda-forge | |
| wheel: 0.30.0-py36hfd4bba0_1 --> 0.34.2-py_1 conda-forge | |
| xz: 5.2.3-h55aa19d_2 --> 5.2.5-h516909a_0 conda-forge | |
| zlib: 1.2.11-ha838bed_2 --> 1.2.11-h516909a_1006 conda-forge | |
| Proceed ([y]/n)? y | |
| Downloading and Extracting Packages | |
| ld_impl_linux-64 2.34: 100% 1.0/1 [00:00<00:00, 3.64it/s] | |
| llvmlite 0.32.0rc1: 100% 1.0/1 [00:06<00:00, 6.88s/it] | |
| ca-certificates 2020.4.5.1: 100% 1.0/1 [00:00<00:00, 13.33it/s] | |
| zstd 1.4.4: 100% 1.0/1 [00:00<00:00, 3.28it/s] | |
| cudatoolkit 10.1.243: 75% 0.747296728633113/1 [00:18<00:04, 18.84s/it] | |
| cudatoolkit 10.1.243: 100% 1.0/1 [02:14<00:00, 134.73s/it] | |
| numba 0.49.0rc2: 100% 1.0/1 [00:02<00:00, 2.78s/it] | |
| libevent 2.1.10: 100% 1.0/1 [00:00<00:00, 1.50it/s] | |
| liblapack 3.8.0: 100% 1.0/1 [00:00<00:00, 14.97it/s] | |
| ncurses 6.1: 100% 1.0/1 [00:01<00:00, 1.04s/it] | |
| readline 8.0: 100% 1.0/1 [00:00<00:00, 5.08it/s] | |
| python 3.6.10: 100% 1.0/1 [00:08<00:00, 8.95s/it] | |
| c-ares 1.15.0: 100% 1.0/1 [00:00<00:00, 11.25it/s] | |
| fastavro 0.23.1: 100% 1.0/1 [00:00<00:00, 4.70it/s] | |
| libprotobuf 3.11.4: 100% 1.0/1 [00:01<00:00, 2.00s/it] | |
| llvm-openmp 9.0.1: 100% 1.0/1 [00:00<00:00, 3.67it/s] | |
| sqlite 3.30.1: 100% 1.0/1 [00:00<00:00, 1.67it/s] | |
| openssl 1.1.1f: 100% 1.0/1 [00:00<00:00, 1.48it/s] | |
| uriparser 0.9.3: 100% 1.0/1 [00:00<00:00, 11.14it/s] | |
| fastrlock 0.4: 100% 1.0/1 [00:00<00:00, 10.64it/s] | |
| thrift-cpp 0.12.0: 100% 1.0/1 [00:00<00:00, 1.13it/s] | |
| glog 0.4.0: 100% 1.0/1 [00:00<00:00, 16.87it/s] | |
| zlib 1.2.11: 100% 1.0/1 [00:00<00:00, 14.98it/s] | |
| grpc-cpp 1.25.0: 100% 1.0/1 [00:02<00:00, 2.39s/it] | |
| tk 8.6.10: 100% 1.0/1 [00:01<00:00, 1.13s/it] | |
| nccl 2.4.6.1: 100% 1.0/1 [00:18<00:00, 18.68s/it] | |
| pip 20.0.2: 100% 1.0/1 [00:00<00:00, 1.86it/s] | |
| brotli 1.0.7: 100% 1.0/1 [00:00<00:00, 3.38it/s] | |
| six 1.14.0: 100% 1.0/1 [00:00<00:00, 28.01it/s] | |
| libcblas 3.8.0: 100% 1.0/1 [00:00<00:00, 27.99it/s] | |
| cudnn 7.6.0: 74% 0.7372105917808791/1 [00:06<00:01, 7.19s/it] | |
| cudnn 7.6.0: 100% 1.0/1 [01:03<00:00, 63.37s/it] | |
| wheel 0.34.2: 100% 1.0/1 [00:00<00:00, 18.01it/s] | |
| double-conversion 3.1.5: 100% 1.0/1 [00:00<00:00, 13.21it/s] | |
| _openmp_mutex 4.5: 100% 1.0/1 [00:00<00:00, 8.96it/s] | |
| parquet-cpp 1.5.1: 100% 1.0/1 [00:00<00:00, 36.22it/s] | |
| pandas 0.25.3: 100% 1.0/1 [00:04<00:00, 4.33s/it] | |
| libstdcxx-ng 9.2.0: 100% 1.0/1 [00:01<00:00, 1.27s/it] | |
| gflags 2.2.2: 100% 1.0/1 [00:00<00:00, 8.86it/s] | |
| pytz 2019.3: 100% 1.0/1 [00:00<00:00, 3.81it/s] | |
| libffi 3.2.1: 100% 1.0/1 [00:00<00:00, 9.77it/s] | |
| librmm 0.13.0: 100% 1.0/1 [00:00<00:00, 1.65it/s] | |
| libopenblas 0.3.9: 100% 1.0/1 [00:02<00:00, 2.56s/it] | |
| re2 2020.04.01: 100% 1.0/1 [00:00<00:00, 5.45it/s] | |
| cudf 0.13.0: 100% 1.0/1 [00:10<00:00, 10.01s/it] | |
| libnvstrings 0.13.0: 100% 1.0/1 [00:13<00:00, 13.18s/it] | |
| nvstrings 0.13.0: 100% 1.0/1 [00:00<00:00, 1.50it/s] | |
| lz4-c 1.8.3: 100% 1.0/1 [00:00<00:00, 8.11it/s] | |
| pyarrow 0.15.0: 100% 1.0/1 [00:01<00:00, 1.68s/it] | |
| snappy 1.1.8: 100% 1.0/1 [00:00<00:00, 19.16it/s] | |
| xz 5.2.5: 100% 1.0/1 [00:00<00:00, 5.45it/s] | |
| libgcc-ng 9.2.0: 100% 1.0/1 [00:02<00:00, 2.34s/it] | |
| libgomp 9.2.0: 100% 1.0/1 [00:00<00:00, 4.63it/s] | |
| dlpack 0.2: 100% 1.0/1 [00:00<00:00, 30.64it/s] | |
| fsspec 0.6.3: 100% 1.0/1 [00:00<00:00, 10.57it/s] | |
| libcudf 0.13.0: 74% 0.7444960566636764/1 [00:03<00:00, 3.91s/it] | |
| libcudf 0.13.0: 97% 0.9679951690821256/1 [00:29<00:04, 137.74s/it] | |
| libcudf 0.13.0: 100% 1.0/1 [00:57<00:00, 57.26s/it] | |
| setuptools 46.1.3: 100% 1.0/1 [00:00<00:00, 3.14it/s] | |
| python-dateutil 2.8.1: 100% 1.0/1 [00:00<00:00, 8.80it/s] | |
| bzip2 1.0.8: 100% 1.0/1 [00:00<00:00, 6.39it/s] | |
| icu 64.2: 100% 1.0/1 [00:03<00:00, 3.61s/it] | |
| python_abi 3.6: 100% 1.0/1 [00:00<00:00, 18.59it/s] | |
| cupy 7.3.0: 100% 1.0/1 [00:05<00:00, 5.14s/it] | |
| boost-cpp 1.70.0: 100% 1.0/1 [00:13<00:00, 13.08s/it] | |
| numpy 1.18.1: 100% 1.0/1 [00:02<00:00, 2.03s/it] | |
| _libgcc_mutex 0.1: 100% 1.0/1 [00:00<00:00, 21.45it/s] | |
| certifi 2020.4.5.1: 100% 1.0/1 [00:00<00:00, 12.59it/s] | |
| arrow-cpp 0.15.1: 100% 1.0/1 [00:06<00:00, 6.58s/it] | |
| rmm 0.13.0: 100% 1.0/1 [00:01<00:00, 1.07s/it] | |
| libblas 3.8.0: 100% 1.0/1 [00:00<00:00, 24.57it/s] | |
| Preparing transaction: done | |
| Verifying transaction: done | |
| Executing transaction: failed | |
| ERROR conda.core.link:_execute(481): An error occurred while installing package 'conda-forge::fsspec-0.6.3-py_0'. | |
| FileNotFoundError(2, "No such file or directory: '/usr/local/bin/python3.6'") | |
| Attempting to roll back. | |
| Rolling back transaction: done | |
| FileNotFoundError(2, "No such file or directory: '/usr/local/bin/python3.6'") |
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found a solution for this yet...if yes then please share... I'm having the same issue.