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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "ae7516b2-3639-4a9f-95d2-dd15641765f6",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting package metadata (current_repodata.json): ...working... done\n",
"Solving environment: ...working... done\n",
"\n",
"## Package Plan ##\n",
"\n",
" environment location: C:\\Users\\369rental\\anaconda3\\envs\\jupyter\n",
"\n",
" added / updated specs:\n",
" - matplotlib\n",
"\n",
"\n",
"The following packages will be downloaded:\n",
"\n",
" package | build\n",
" ---------------------------|-----------------\n",
" contourpy-1.2.0 | py311h59b6b97_0 218 KB\n",
" icu-73.1 | h6c2663c_0 29.5 MB\n",
" intel-openmp-2023.1.0 | h59b6b97_46320 2.7 MB\n",
" libdeflate-1.17 | h2bbff1b_1 153 KB\n",
" matplotlib-3.8.0 | py311haa95532_0 9 KB\n",
" matplotlib-base-3.8.0 | py311hf62ec03_0 7.6 MB\n",
" mkl-2023.1.0 | h6b88ed4_46358 155.9 MB\n",
" numpy-1.26.3 | py311hdab7c0b_0 11 KB\n",
" numpy-base-1.26.3 | py311hd01c5d8_0 7.3 MB\n",
" pillow-10.0.1 | py311h045eedc_0 937 KB\n",
" pyqt-5.15.10 | py311hd77b12b_0 4.1 MB\n",
" pyqt5-sip-12.13.0 | py311h2bbff1b_0 75 KB\n",
" qt-main-5.15.2 | h19c9488_10 59.4 MB\n",
" sip-6.7.12 | py311hd77b12b_0 615 KB\n",
" ------------------------------------------------------------\n",
" Total: 268.4 MB\n",
"\n",
"The following NEW packages will be INSTALLED:\n",
"\n",
" blas pkgs/main/win-64::blas-1.0-mkl \n",
" brotli pkgs/main/win-64::brotli-1.0.9-h2bbff1b_7 \n",
" brotli-bin pkgs/main/win-64::brotli-bin-1.0.9-h2bbff1b_7 \n",
" contourpy pkgs/main/win-64::contourpy-1.2.0-py311h59b6b97_0 \n",
" cycler pkgs/main/noarch::cycler-0.11.0-pyhd3eb1b0_0 \n",
" fonttools pkgs/main/noarch::fonttools-4.25.0-pyhd3eb1b0_0 \n",
" freetype pkgs/main/win-64::freetype-2.12.1-ha860e81_0 \n",
" giflib pkgs/main/win-64::giflib-5.2.1-h8cc25b3_3 \n",
" icu pkgs/main/win-64::icu-73.1-h6c2663c_0 \n",
" intel-openmp pkgs/main/win-64::intel-openmp-2023.1.0-h59b6b97_46320 \n",
" jpeg pkgs/main/win-64::jpeg-9e-h2bbff1b_1 \n",
" kiwisolver pkgs/main/win-64::kiwisolver-1.4.4-py311hd77b12b_0 \n",
" krb5 pkgs/main/win-64::krb5-1.20.1-h5b6d351_0 \n",
" lerc pkgs/main/win-64::lerc-3.0-hd77b12b_0 \n",
" libbrotlicommon pkgs/main/win-64::libbrotlicommon-1.0.9-h2bbff1b_7 \n",
" libbrotlidec pkgs/main/win-64::libbrotlidec-1.0.9-h2bbff1b_7 \n",
" libbrotlienc pkgs/main/win-64::libbrotlienc-1.0.9-h2bbff1b_7 \n",
" libclang pkgs/main/win-64::libclang-14.0.6-default_hb5a9fac_1 \n",
" libclang13 pkgs/main/win-64::libclang13-14.0.6-default_h8e68704_1 \n",
" libdeflate pkgs/main/win-64::libdeflate-1.17-h2bbff1b_1 \n",
" libpng pkgs/main/win-64::libpng-1.6.39-h8cc25b3_0 \n",
" libpq pkgs/main/win-64::libpq-12.15-h906ac69_1 \n",
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" libwebp pkgs/main/win-64::libwebp-1.3.2-hbc33d0d_0 \n",
" libwebp-base pkgs/main/win-64::libwebp-base-1.3.2-h2bbff1b_0 \n",
" lz4-c pkgs/main/win-64::lz4-c-1.9.4-h2bbff1b_0 \n",
" matplotlib pkgs/main/win-64::matplotlib-3.8.0-py311haa95532_0 \n",
" matplotlib-base pkgs/main/win-64::matplotlib-base-3.8.0-py311hf62ec03_0 \n",
" mkl pkgs/main/win-64::mkl-2023.1.0-h6b88ed4_46358 \n",
" mkl-service pkgs/main/win-64::mkl-service-2.4.0-py311h2bbff1b_1 \n",
" mkl_fft pkgs/main/win-64::mkl_fft-1.3.8-py311h2bbff1b_0 \n",
" mkl_random pkgs/main/win-64::mkl_random-1.2.4-py311h59b6b97_0 \n",
" munkres pkgs/main/noarch::munkres-1.1.4-py_0 \n",
" numpy pkgs/main/win-64::numpy-1.26.3-py311hdab7c0b_0 \n",
" numpy-base pkgs/main/win-64::numpy-base-1.26.3-py311hd01c5d8_0 \n",
" openjpeg pkgs/main/win-64::openjpeg-2.4.0-h4fc8c34_0 \n",
" pillow pkgs/main/win-64::pillow-10.0.1-py311h045eedc_0 \n",
" ply pkgs/main/win-64::ply-3.11-py311haa95532_0 \n",
" pyparsing pkgs/main/win-64::pyparsing-3.0.9-py311haa95532_0 \n",
" pyqt pkgs/main/win-64::pyqt-5.15.10-py311hd77b12b_0 \n",
" pyqt5-sip pkgs/main/win-64::pyqt5-sip-12.13.0-py311h2bbff1b_0 \n",
" qt-main pkgs/main/win-64::qt-main-5.15.2-h19c9488_10 \n",
" sip pkgs/main/win-64::sip-6.7.12-py311hd77b12b_0 \n",
" tbb pkgs/main/win-64::tbb-2021.8.0-h59b6b97_0 \n",
" zstd pkgs/main/win-64::zstd-1.5.5-hd43e919_0 \n",
"\n",
"\n",
"\n",
"Downloading and Extracting Packages\n",
"\n",
"icu-73.1 | 29.5 MB | | 0% \n",
"\n",
"pyqt5-sip-12.13.0 | 75 KB | | 0% \u001b[A\n",
"\n",
"\n",
"numpy-1.26.3 | 11 KB | | 0% \u001b[A\u001b[A\n",
"\n",
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"numpy-base-1.26.3 | 7.3 MB | | 0% \u001b[A\u001b[A\u001b[A\n",
"\n",
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"matplotlib-3.8.0 | 9 KB | | 0% \u001b[A\u001b[A\u001b[A\u001b[A\n",
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"sip-6.7.12 | 615 KB | | 0% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"pillow-10.0.1 | 937 KB | | 0% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"matplotlib-base-3.8. | 7.6 MB | | 0% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"mkl-2023.1.0 | 155.9 MB | | 0% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"intel-openmp-2023.1. | 2.7 MB | | 0% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"pyqt-5.15.10 | 4.1 MB | | 0% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"libdeflate-1.17 | 153 KB | | 0% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"qt-main-5.15.2 | 59.4 MB | | 0% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"contourpy-1.2.0 | 218 KB | | 0% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"pyqt5-sip-12.13.0 | 75 KB | ##1 | 21% \u001b[A\n",
"icu-73.1 | 29.5 MB | | 0% \n",
"\n",
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"matplotlib-3.8.0 | 9 KB | ########## | 100% \u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"numpy-1.26.3 | 11 KB | ########## | 100% \u001b[A\u001b[A\n",
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"numpy-base-1.26.3 | 7.3 MB | | 0% \u001b[A\u001b[A\u001b[A\n",
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"sip-6.7.12 | 615 KB | 2 | 3% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"pillow-10.0.1 | 937 KB | 1 | 2% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"matplotlib-base-3.8. | 7.6 MB | | 0% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"icu-73.1 | 29.5 MB | 4 | 4% \n",
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"numpy-base-1.26.3 | 7.3 MB | #2 | 13% \u001b[A\u001b[A\u001b[A\n",
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"matplotlib-3.8.0 | 9 KB | ########## | 100% \u001b[A\u001b[A\u001b[A\u001b[A\n",
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"numpy-1.26.3 | 11 KB | ########## | 100% \u001b[A\u001b[A\n",
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"pillow-10.0.1 | 937 KB | #######1 | 72% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"sip-6.7.12 | 615 KB | ########5 | 86% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"matplotlib-base-3.8. | 7.6 MB | 6 | 7% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"pyqt5-sip-12.13.0 | 75 KB | ########## | 100% \u001b[A\n",
"icu-73.1 | 29.5 MB | 8 | 9% \n",
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"pyqt5-sip-12.13.0 | 75 KB | ########## | 100% \u001b[A\n",
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"numpy-base-1.26.3 | 7.3 MB | #9 | 20% \u001b[A\u001b[A\u001b[A\n",
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"mkl-2023.1.0 | 155.9 MB | | 0% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"intel-openmp-2023.1. | 2.7 MB | | 1% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"mkl-2023.1.0 | 155.9 MB | | 0% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"matplotlib-base-3.8. | 7.6 MB | #8 | 19% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"icu-73.1 | 29.5 MB | #2 | 13% \n",
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"intel-openmp-2023.1. | 2.7 MB | #9 | 19% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"numpy-base-1.26.3 | 7.3 MB | ##6 | 27% \u001b[A\u001b[A\u001b[A\n",
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"mkl-2023.1.0 | 155.9 MB | | 1% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"matplotlib-base-3.8. | 7.6 MB | ##5 | 26% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"intel-openmp-2023.1. | 2.7 MB | ###6 | 37% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"pillow-10.0.1 | 937 KB | ########## | 100% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"sip-6.7.12 | 615 KB | ########## | 100% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"icu-73.1 | 29.5 MB | #8 | 19% \n",
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"numpy-base-1.26.3 | 7.3 MB | ###5 | 36% \u001b[A\u001b[A\u001b[A\n",
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"numpy-base-1.26.3 | 7.3 MB | ####4 | 44% \u001b[A\u001b[A\u001b[A\n",
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"qt-main-5.15.2 | 59.4 MB | 2 | 2% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"qt-main-5.15.2 | 59.4 MB | 5 | 5% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"qt-main-5.15.2 | 59.4 MB | 6 | 7% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"qt-main-5.15.2 | 59.4 MB | 9 | 10% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"matplotlib-base-3.8. | 7.6 MB | ########## | 100% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"\n",
"\n",
"pyqt-5.15.10 | 4.1 MB | ########## | 100% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
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"qt-main-5.15.2 | 59.4 MB | #1 | 12% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
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"qt-main-5.15.2 | 59.4 MB | #5 | 16% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"numpy-base-1.26.3 | 7.3 MB | ####9 | 50% \u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"\n",
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"\n",
"qt-main-5.15.2 | 59.4 MB | #8 | 19% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"icu-73.1 | 29.5 MB | ##6 | 26% \n",
"\n",
"\n",
"\n",
"numpy-base-1.26.3 | 7.3 MB | #####4 | 54% \u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"qt-main-5.15.2 | 59.4 MB | ## | 20% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"icu-73.1 | 29.5 MB | ##8 | 29% \n",
"\n",
"\n",
"\n",
"numpy-base-1.26.3 | 7.3 MB | #####7 | 57% \u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"qt-main-5.15.2 | 59.4 MB | ##1 | 22% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"icu-73.1 | 29.5 MB | ### | 31% \n",
"\n",
"\n",
"\n",
"\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | 1 | 1% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"numpy-base-1.26.3 | 7.3 MB | ######6 | 66% \u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"qt-main-5.15.2 | 59.4 MB | ##3 | 24% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"icu-73.1 | 29.5 MB | ###3 | 34% \n",
"\n",
"\n",
"\n",
"numpy-base-1.26.3 | 7.3 MB | ####### | 71% \u001b[A\u001b[A\u001b[A\n",
"\n",
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"qt-main-5.15.2 | 59.4 MB | ##4 | 25% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | 1 | 2% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"icu-73.1 | 29.5 MB | ###5 | 36% \n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | 1 | 2% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"icu-73.1 | 29.5 MB | ###7 | 37% \n",
"\n",
"\n",
"\n",
"numpy-base-1.26.3 | 7.3 MB | #######9 | 80% \u001b[A\u001b[A\u001b[A\n",
"\n",
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"qt-main-5.15.2 | 59.4 MB | ##6 | 26% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | 2 | 2% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"icu-73.1 | 29.5 MB | ###9 | 40% \n",
"\n",
"\n",
"\n",
"numpy-base-1.26.3 | 7.3 MB | ########8 | 89% \u001b[A\u001b[A\u001b[A\n",
"\n",
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"qt-main-5.15.2 | 59.4 MB | ##7 | 28% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | 2 | 2% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"icu-73.1 | 29.5 MB | ####1 | 41% \n",
"\n",
"\n",
"\n",
"numpy-base-1.26.3 | 7.3 MB | #########3 | 94% \u001b[A\u001b[A\u001b[A\n",
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"qt-main-5.15.2 | 59.4 MB | ##8 | 29% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | 2 | 3% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"icu-73.1 | 29.5 MB | ####4 | 45% \n",
"\n",
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"contourpy-1.2.0 | 218 KB | 7 | 7% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"qt-main-5.15.2 | 59.4 MB | ##9 | 29% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | 2 | 3% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"icu-73.1 | 29.5 MB | ####8 | 49% \n",
"\n",
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"contourpy-1.2.0 | 218 KB | ########## | 100% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"contourpy-1.2.0 | 218 KB | ########## | 100% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"icu-73.1 | 29.5 MB | #####2 | 52% \n",
"\n",
"\n",
"\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | 3 | 3% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"icu-73.1 | 29.5 MB | #####5 | 56% \n",
"\n",
"\n",
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"qt-main-5.15.2 | 59.4 MB | ### | 30% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | 3 | 4% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"icu-73.1 | 29.5 MB | #####8 | 59% \n",
"\n",
"\n",
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"qt-main-5.15.2 | 59.4 MB | ### | 31% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | 4 | 4% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"icu-73.1 | 29.5 MB | ######1 | 62% \n",
"\n",
"\n",
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"qt-main-5.15.2 | 59.4 MB | ###1 | 32% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"numpy-base-1.26.3 | 7.3 MB | ########## | 100% \u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"numpy-base-1.26.3 | 7.3 MB | ########## | 100% \u001b[A\u001b[A\u001b[A\n",
"icu-73.1 | 29.5 MB | ######4 | 64% \n",
"\n",
"\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | 4 | 5% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"qt-main-5.15.2 | 59.4 MB | ###2 | 32% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"icu-73.1 | 29.5 MB | ######9 | 70% \n",
"\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | 5 | 5% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"qt-main-5.15.2 | 59.4 MB | ###3 | 33% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"icu-73.1 | 29.5 MB | #######2 | 72% \n",
"\n",
"\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | 5 | 6% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"qt-main-5.15.2 | 59.4 MB | ###4 | 34% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"qt-main-5.15.2 | 59.4 MB | ###4 | 35% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"icu-73.1 | 29.5 MB | #######6 | 76% \n",
"\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | 5 | 6% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"qt-main-5.15.2 | 59.4 MB | ###6 | 37% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | 6 | 7% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"qt-main-5.15.2 | 59.4 MB | ###7 | 38% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"icu-73.1 | 29.5 MB | #######7 | 78% \n",
"\n",
"\n",
"\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | 6 | 7% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"qt-main-5.15.2 | 59.4 MB | ###8 | 39% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"qt-main-5.15.2 | 59.4 MB | ###9 | 39% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"icu-73.1 | 29.5 MB | ########3 | 83% \n",
"\n",
"\n",
"\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | 7 | 7% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"qt-main-5.15.2 | 59.4 MB | ####1 | 41% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"icu-73.1 | 29.5 MB | ########6 | 87% \n",
"\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | 7 | 7% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"\n",
"\n",
"qt-main-5.15.2 | 59.4 MB | ####2 | 43% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"icu-73.1 | 29.5 MB | ########8 | 89% \n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"mkl-2023.1.0 | 155.9 MB | 7 | 8% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"qt-main-5.15.2 | 59.4 MB | ####4 | 45% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"icu-73.1 | 29.5 MB | #########1 | 92% \n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"mkl-2023.1.0 | 155.9 MB | 7 | 8% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"qt-main-5.15.2 | 59.4 MB | ####5 | 46% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"icu-73.1 | 29.5 MB | #########4 | 95% \n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"mkl-2023.1.0 | 155.9 MB | 8 | 8% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"qt-main-5.15.2 | 59.4 MB | ####6 | 47% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"icu-73.1 | 29.5 MB | #########6 | 96% \n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"mkl-2023.1.0 | 155.9 MB | 8 | 9% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"qt-main-5.15.2 | 59.4 MB | ####8 | 48% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"icu-73.1 | 29.5 MB | #########9 | 99% \n",
"icu-73.1 | 29.5 MB | ########## | 100% \n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"qt-main-5.15.2 | 59.4 MB | ####9 | 50% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"mkl-2023.1.0 | 155.9 MB | 8 | 9% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"qt-main-5.15.2 | 59.4 MB | #####2 | 52% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"qt-main-5.15.2 | 59.4 MB | #####3 | 54% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"mkl-2023.1.0 | 155.9 MB | 9 | 9% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"qt-main-5.15.2 | 59.4 MB | #####5 | 56% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"mkl-2023.1.0 | 155.9 MB | 9 | 10% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"qt-main-5.15.2 | 59.4 MB | #####7 | 57% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"mkl-2023.1.0 | 155.9 MB | # | 10% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
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"\n",
"\n",
"\n",
"\n",
"qt-main-5.15.2 | 59.4 MB | #####9 | 59% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
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"\n",
"\n",
"\n",
"\n",
"qt-main-5.15.2 | 59.4 MB | ######1 | 61% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"mkl-2023.1.0 | 155.9 MB | # | 11% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
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"\n",
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"\n",
"\n",
"\n",
"\n",
"qt-main-5.15.2 | 59.4 MB | ######4 | 64% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"mkl-2023.1.0 | 155.9 MB | #1 | 11% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | #1 | 12% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"\n",
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"\n",
"\n",
"qt-main-5.15.2 | 59.4 MB | ######6 | 66% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
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"qt-main-5.15.2 | 59.4 MB | ######8 | 68% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"\n",
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"\n",
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"\n",
"mkl-2023.1.0 | 155.9 MB | #2 | 12% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"\n",
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"\n",
"\n",
"qt-main-5.15.2 | 59.4 MB | ####### | 71% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"\n",
"\n",
"\n",
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"\n",
"mkl-2023.1.0 | 155.9 MB | #2 | 13% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"\n",
"intel-openmp-2023.1. | 2.7 MB | ##### | 50% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"\n",
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"\n",
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"intel-openmp-2023.1. | 2.7 MB | #####1 | 51% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"\n",
"\n",
"\n",
"mkl-2023.1.0 | 155.9 MB | #3 | 13% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
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"\n",
"\n",
"\n",
"\n",
"qt-main-5.15.2 | 59.4 MB | #######2 | 72% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"\n",
"intel-openmp-2023.1. | 2.7 MB | #####9 | 59% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"\n",
"\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | #3 | 14% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"\n",
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"\n",
"\n",
"qt-main-5.15.2 | 59.4 MB | #######3 | 73% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"\n",
"\n",
"\n",
"mkl-2023.1.0 | 155.9 MB | #4 | 14% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"\n",
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"\n",
"\n",
"qt-main-5.15.2 | 59.4 MB | #######5 | 76% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"mkl-2023.1.0 | 155.9 MB | #4 | 15% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"\n",
"\n",
"\n",
"\n",
"\n",
"intel-openmp-2023.1. | 2.7 MB | ######6 | 66% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
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"\n",
"\n",
"\n",
"\n",
"qt-main-5.15.2 | 59.4 MB | #######7 | 78% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"\n",
"\n",
"\n",
"\n",
"intel-openmp-2023.1. | 2.7 MB | #######8 | 78% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"mkl-2023.1.0 | 155.9 MB | #5 | 15% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"\n",
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"\n",
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"\n",
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"\n",
"\n",
"qt-main-5.15.2 | 59.4 MB | #######8 | 79% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"\n",
"\n",
"\n",
"\n",
"\n",
"mkl-2023.1.0 | 155.9 MB | #5 | 16% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
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"\n",
"\n",
"\n",
"\n",
"\n",
"intel-openmp-2023.1. | 2.7 MB | ########## | 100% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"\n",
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"\n",
"\n",
"\n",
"\n",
"\n",
"intel-openmp-2023.1. | 2.7 MB | ########## | 100% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"qt-main-5.15.2 | 59.4 MB | ######## | 81% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
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"\n",
"\n",
"\n",
"\n",
"qt-main-5.15.2 | 59.4 MB | ########3 | 83% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"mkl-2023.1.0 | 155.9 MB | #5 | 16% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"qt-main-5.15.2 | 59.4 MB | ########6 | 86% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"mkl-2023.1.0 | 155.9 MB | #6 | 17% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"qt-main-5.15.2 | 59.4 MB | ########8 | 89% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"mkl-2023.1.0 | 155.9 MB | #7 | 17% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"qt-main-5.15.2 | 59.4 MB | #########1 | 91% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"mkl-2023.1.0 | 155.9 MB | #7 | 17% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"\n",
"\n",
"\n",
"\n",
"\n",
"mkl-2023.1.0 | 155.9 MB | #8 | 18% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"qt-main-5.15.2 | 59.4 MB | #########3 | 93% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"mkl-2023.1.0 | 155.9 MB | #9 | 19% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"\n",
"\n",
"\n",
"\n",
"\n",
"mkl-2023.1.0 | 155.9 MB | ## | 20% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"mkl-2023.1.0 | 155.9 MB | ##1 | 21% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"qt-main-5.15.2 | 59.4 MB | #########4 | 94% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"mkl-2023.1.0 | 155.9 MB | ##2 | 22% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"mkl-2023.1.0 | 155.9 MB | ##2 | 23% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
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"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"qt-main-5.15.2 | 59.4 MB | #########5 | 95% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"mkl-2023.1.0 | 155.9 MB | ##4 | 25% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
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"\n",
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"\n",
"\n",
"\n",
"\n",
"\n",
"qt-main-5.15.2 | 59.4 MB | #########6 | 96% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"mkl-2023.1.0 | 155.9 MB | ##5 | 25% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"qt-main-5.15.2 | 59.4 MB | #########7 | 97% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"mkl-2023.1.0 | 155.9 MB | ##6 | 26% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
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"\n",
"\n",
"\n",
"\n",
"qt-main-5.15.2 | 59.4 MB | #########8 | 98% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"mkl-2023.1.0 | 155.9 MB | ##7 | 27% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"mkl-2023.1.0 | 155.9 MB | ##8 | 28% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"\n",
"\n",
"\n",
"\n",
"\n",
"mkl-2023.1.0 | 155.9 MB | ##9 | 30% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"\n",
"\n",
"\n",
"\n",
"\n",
"mkl-2023.1.0 | 155.9 MB | ###1 | 31% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"\n",
"\n",
"\n",
"\n",
"\n",
"mkl-2023.1.0 | 155.9 MB | ###1 | 32% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"\n",
"\n",
"\n",
"\n",
"\n",
"mkl-2023.1.0 | 155.9 MB | ###3 | 34% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"\n",
"\n",
"\n",
"\n",
"\n",
"mkl-2023.1.0 | 155.9 MB | ###5 | 35% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"\n",
"\n",
"\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | ###6 | 36% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"\n",
"\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | ###8 | 38% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"\n",
"\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | ###8 | 39% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"\n",
"\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | ####1 | 41% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"\n",
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"\n",
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"mkl-2023.1.0 | 155.9 MB | ####2 | 42% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"\n",
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"mkl-2023.1.0 | 155.9 MB | ####3 | 44% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | ####4 | 45% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | ####6 | 46% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | ####6 | 47% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | ####8 | 49% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | ####9 | 50% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | #####1 | 52% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | #####2 | 53% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | #####3 | 53% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | #####3 | 54% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | #####4 | 55% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | #####5 | 56% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | #####6 | 57% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | #####7 | 58% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | #####8 | 59% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | #####9 | 60% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"\n",
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"qt-main-5.15.2 | 59.4 MB | ########## | 100% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"qt-main-5.15.2 | 59.4 MB | ########## | 100% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | ###### | 61% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | ######1 | 62% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | ######2 | 63% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | ######3 | 64% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | ######4 | 65% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | ######6 | 66% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | ######7 | 67% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | ######8 | 68% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | ######9 | 69% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | ####### | 70% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | ####### | 71% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | #######2 | 72% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
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"mkl-2023.1.0 | 155.9 MB | #######2 | 73% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"\n",
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"mkl-2023.1.0 | 155.9 MB | #######3 | 74% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"\n",
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"mkl-2023.1.0 | 155.9 MB | #######4 | 75% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"\n",
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"mkl-2023.1.0 | 155.9 MB | #######5 | 75% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"\n",
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"mkl-2023.1.0 | 155.9 MB | #######7 | 77% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | #######8 | 78% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | #######9 | 79% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"\n",
"\n",
"\n",
"\n",
"mkl-2023.1.0 | 155.9 MB | ######## | 80% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"\n",
"\n",
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"\n",
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"mkl-2023.1.0 | 155.9 MB | ########2 | 82% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"\n",
"\n",
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"\n",
"\n",
"mkl-2023.1.0 | 155.9 MB | ########3 | 83% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"\n",
"\n",
"\n",
"\n",
"\n",
"mkl-2023.1.0 | 155.9 MB | ########4 | 85% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"\n",
"\n",
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"\n",
"\n",
"mkl-2023.1.0 | 155.9 MB | ########6 | 86% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"\n",
"\n",
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"\n",
"\n",
"mkl-2023.1.0 | 155.9 MB | ########7 | 87% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"\n",
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"mkl-2023.1.0 | 155.9 MB | ########8 | 89% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"\n",
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"\n",
"\n",
"mkl-2023.1.0 | 155.9 MB | ######### | 90% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | #########1 | 91% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | #########2 | 93% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | #########3 | 94% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | #########4 | 95% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | #########6 | 96% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | #########7 | 97% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | #########8 | 99% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | ########## | 100% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"mkl-2023.1.0 | 155.9 MB | ########## | 100% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
" \n",
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" \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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" \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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" \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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" \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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" \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"\n",
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"\n",
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"\n",
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"\n",
"\n",
" \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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"\n",
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"\n",
" \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
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" \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
"\n",
"Preparing transaction: ...working... done\n",
"Verifying transaction: ...working... done\n",
"Executing transaction: ...working... done\n",
"\n",
"Note: you may need to restart the kernel to use updated packages.\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"\n",
"\n",
"==> WARNING: A newer version of conda exists. <==\n",
" current version: 23.7.4\n",
" latest version: 23.11.0\n",
"\n",
"Please update conda by running\n",
"\n",
" $ conda update -n base -c defaults conda\n",
"\n",
"Or to minimize the number of packages updated during conda update use\n",
"\n",
" conda install conda=23.11.0\n",
"\n",
"\n"
]
}
],
"source": [
"conda install matplotlib"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "c4483730-3245-4f33-9965-882ecf773e7f",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting package metadata (current_repodata.json): ...working... done\n",
"Note: you may need to restart the kernel to use updated packages.\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"\n",
"\n",
"==> WARNING: A newer version of conda exists. <==\n",
" current version: 23.7.4\n",
" latest version: 23.11.0\n",
"\n",
"Please update conda by running\n",
"\n",
" $ conda update -n base -c defaults conda\n",
"\n",
"Or to minimize the number of packages updated during conda update use\n",
"\n",
" conda install conda=23.11.0\n",
"\n",
"\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"Solving environment: ...working... done\n",
"\n",
"## Package Plan ##\n",
"\n",
" environment location: C:\\Users\\369rental\\anaconda3\\envs\\jupyter\n",
"\n",
" added / updated specs:\n",
" - scikit-learn\n",
"\n",
"\n",
"The following packages will be downloaded:\n",
"\n",
" package | build\n",
" ---------------------------|-----------------\n",
" scikit-learn-1.2.2 | py311hd77b12b_1 7.6 MB\n",
" scipy-1.11.4 | py311hc1ccb85_0 20.9 MB\n",
" ------------------------------------------------------------\n",
" Total: 28.5 MB\n",
"\n",
"The following NEW packages will be INSTALLED:\n",
"\n",
" icc_rt pkgs/main/win-64::icc_rt-2022.1.0-h6049295_2 \n",
" joblib pkgs/main/win-64::joblib-1.2.0-py311haa95532_0 \n",
" scikit-learn pkgs/main/win-64::scikit-learn-1.2.2-py311hd77b12b_1 \n",
" scipy pkgs/main/win-64::scipy-1.11.4-py311hc1ccb85_0 \n",
" threadpoolctl pkgs/main/noarch::threadpoolctl-2.2.0-pyh0d69192_0 \n",
"\n",
"\n",
"\n",
"Downloading and Extracting Packages\n",
"\n",
"scikit-learn-1.2.2 | 7.6 MB | | 0% \n",
"\n",
"scipy-1.11.4 | 20.9 MB | | 0% \u001b[A\n",
"scikit-learn-1.2.2 | 7.6 MB | | 0% \n",
"\n",
"scipy-1.11.4 | 20.9 MB | | 0% \u001b[A\n",
"scikit-learn-1.2.2 | 7.6 MB | #### | 40% \n",
"\n",
"scipy-1.11.4 | 20.9 MB | 2 | 2% \u001b[A\n",
"scikit-learn-1.2.2 | 7.6 MB | #######3 | 73% \n",
"\n",
"scipy-1.11.4 | 20.9 MB | 4 | 5% \u001b[A\n",
"\n",
"scipy-1.11.4 | 20.9 MB | 7 | 8% \u001b[A\n",
"\n",
"scipy-1.11.4 | 20.9 MB | #1 | 12% \u001b[A\n",
"\n",
"scipy-1.11.4 | 20.9 MB | ##2 | 22% \u001b[A\n",
"\n",
"scipy-1.11.4 | 20.9 MB | ###3 | 34% \u001b[A\n",
"\n",
"scipy-1.11.4 | 20.9 MB | ####5 | 46% \u001b[A\n",
"scikit-learn-1.2.2 | 7.6 MB | ########## | 100% \n",
"\n",
"scipy-1.11.4 | 20.9 MB | #####2 | 52% \u001b[A\n",
"\n",
"scipy-1.11.4 | 20.9 MB | ######3 | 64% \u001b[A\n",
"\n",
"scipy-1.11.4 | 20.9 MB | #######2 | 72% \u001b[A\n",
"\n",
"scipy-1.11.4 | 20.9 MB | #######8 | 79% \u001b[A\n",
"\n",
"scipy-1.11.4 | 20.9 MB | #########3 | 93% \u001b[A\n",
"\n",
"scipy-1.11.4 | 20.9 MB | ########## | 100% \u001b[A\n",
" \n",
"\n",
"\n",
" \u001b[A\n",
"\n",
"Preparing transaction: ...working... done\n",
"Verifying transaction: ...working... done\n",
"Executing transaction: ...working... \n",
"\n",
" Windows 64-bit packages of scikit-learn can be accelerated using scikit-learn-intelex.\n",
" More details are available here: https://intel.github.io/scikit-learn-intelex\n",
"\n",
" For example:\n",
"\n",
" $ conda install scikit-learn-intelex\n",
" $ python -m sklearnex my_application.py\n",
"\n",
"\n",
"done\n"
]
}
],
"source": [
"conda install scikit-learn"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "54e43136-f123-4485-b2a0-4d51d828248e",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting package metadata (current_repodata.json): ...working... done\n",
"Note: you may need to restart the kernel to use updated packages.\n",
"\n",
"Solving environment: ...working... done\n",
"\n",
"## Package Plan ##\n",
"\n",
" environment location: C:\\Users\\369rental\\anaconda3\\envs\\jupyter\n",
"\n",
" added / updated specs:\n",
" - pandas\n",
"\n",
"\n",
"The following packages will be downloaded:\n",
"\n",
" package | build\n",
" ---------------------------|-----------------\n",
" numexpr-2.8.7 | py311h1fcbade_0 160 KB\n",
" pandas-2.1.4 | py311hf62ec03_0 13.6 MB\n",
" ------------------------------------------------------------\n",
" Total: 13.7 MB\n",
"\n",
"The following NEW packages will be INSTALLED:\n",
"\n",
" bottleneck pkgs/main/win-64::bottleneck-1.3.5-py311h5bb9823_0 \n",
" numexpr pkgs/main/win-64::numexpr-2.8.7-py311h1fcbade_0 \n",
" pandas pkgs/main/win-64::pandas-2.1.4-py311hf62ec03_0 \n",
" python-tzdata pkgs/main/noarch::python-tzdata-2023.3-pyhd3eb1b0_0 \n",
"\n",
"\n",
"\n",
"Downloading and Extracting Packages\n",
"\n",
"numexpr-2.8.7 | 160 KB | | 0% \n",
"\n",
"pandas-2.1.4 | 13.6 MB | | 0% \u001b[A\n",
"\n",
"pandas-2.1.4 | 13.6 MB | | 0% \u001b[A\n",
"numexpr-2.8.7 | 160 KB | # | 10% \n",
"\n",
"pandas-2.1.4 | 13.6 MB | ## | 20% \u001b[A\n",
"numexpr-2.8.7 | 160 KB | ########## | 100% \n",
"numexpr-2.8.7 | 160 KB | ########## | 100% \n",
"\n",
"pandas-2.1.4 | 13.6 MB | ###3 | 34% \u001b[A\n",
"\n",
"pandas-2.1.4 | 13.6 MB | ##### | 51% \u001b[A\n",
"\n",
"pandas-2.1.4 | 13.6 MB | ######1 | 62% \u001b[A\n",
"\n",
"pandas-2.1.4 | 13.6 MB | ######## | 80% \u001b[A\n",
"\n",
"pandas-2.1.4 | 13.6 MB | ########## | 100% \u001b[A\n",
"\n",
"pandas-2.1.4 | 13.6 MB | ########## | 100% \u001b[A\n",
" \n",
"\n",
"\n",
" \u001b[A\n",
"\n",
"Preparing transaction: ...working... done\n",
"Verifying transaction: ...working... done\n",
"Executing transaction: ...working... done\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"\n",
"\n",
"==> WARNING: A newer version of conda exists. <==\n",
" current version: 23.7.4\n",
" latest version: 23.11.0\n",
"\n",
"Please update conda by running\n",
"\n",
" $ conda update -n base -c defaults conda\n",
"\n",
"Or to minimize the number of packages updated during conda update use\n",
"\n",
" conda install conda=23.11.0\n",
"\n",
"\n"
]
}
],
"source": [
"conda install pandas"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "70227bdb-c253-41e2-aaa3-614e53ae7d42",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting package metadata (current_repodata.json): ...working... done\n",
"Note: you may need to restart the kernel to use updated packages.\n",
"\n",
"Solving environment: ...working... done\n",
"\n",
"## Package Plan ##\n",
"\n",
" environment location: C:\\Users\\369rental\\anaconda3\\envs\\jupyter\n",
"\n",
" added / updated specs:\n",
" - openpyxl\n",
"\n",
"\n",
"The following NEW packages will be INSTALLED:\n",
"\n",
" et_xmlfile pkgs/main/win-64::et_xmlfile-1.1.0-py311haa95532_0 \n",
" openpyxl pkgs/main/win-64::openpyxl-3.0.10-py311h2bbff1b_0 \n",
"\n",
"\n",
"\n",
"Downloading and Extracting Packages\n",
"\n",
"\n",
"Preparing transaction: ...working... done\n",
"Verifying transaction: ...working... done\n",
"Executing transaction: ...working... done\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"\n",
"\n",
"==> WARNING: A newer version of conda exists. <==\n",
" current version: 23.7.4\n",
" latest version: 23.11.0\n",
"\n",
"Please update conda by running\n",
"\n",
" $ conda update -n base -c defaults conda\n",
"\n",
"Or to minimize the number of packages updated during conda update use\n",
"\n",
" conda install conda=23.11.0\n",
"\n",
"\n"
]
}
],
"source": [
"conda install openpyxl"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "326f09bb-af05-4e79-b018-82399be66b27",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.7"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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