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audiosearchmindetail.yml
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name: audiosearchmin
channels:
- conda-forge
- defaults
dependencies:
- bintrees=2.0.7=py36hfa6e2cd_1000
- ca-certificates=2018.11.29=ha4d7672_0
- certifi=2018.11.29=py36_1000
- cycler=0.10.0=py_1
- freetype=2.9.1=he8b6a0d_1004
- icu=58.2=vc14_0
- jpeg=9c=hfa6e2cd_1001
- kiwisolver=1.0.1=py36he980bc4_1002
- libpng=1.6.36=h7602738_1000
- matplotlib=3.0.2=py36h8a2030e_1001
- matplotlib-base=3.0.2=py36h3e3dc42_1001
- mkl_fft=1.0.10=py36_0
- mkl_random=1.0.2=py36_0
- openssl=1.0.2p=hfa6e2cd_1001
- pandas=0.23.4=py36h830ac7b_1000
- pip=18.1=py36_1000
- pymongo=3.7.1=py36h6538335_1000
- pyparsing=2.3.0=py_0
- pyqt=5.6.0=py36h764d66f_1007
- python=3.6.6=he025d50_0
- python-dateutil=2.7.5=py_0
- pytz=2018.7=py_0
- qt=5.6.2=h2639256_8
- setuptools=40.6.2=py36_0
- sip=4.18.1=py36h6538335_0
- six=1.11.0=py36_1001
- sqlite=3.26.0=hfa6e2cd_1000
- tornado=5.1.1=py36hfa6e2cd_1000
- vc=14=0
- vs2015_runtime=14.0.25420=0
- wheel=0.32.3=py36_0
- wincertstore=0.2=py36_1002
- zlib=1.2.11=h2fa13f4_1003
- blas=1.0=mkl
- icc_rt=2017.0.4=h97af966_0
- intel-openmp=2019.1=144
- mkl=2018.0.3=1
- numpy=1.15.4=py36ha559c80_0
- numpy-base=1.15.4=py36h8128ebf_0
- scipy=1.1.0=py36h4f6bf74_1
- pip:
- audioread==2.1.6
- decorator==4.3.0
- joblib==0.13.0
- librosa==0.6.2
- llvmlite==0.26.0
- msgpack==0.5.6
- mutagen==1.41.1
- numba==0.41.0
- numexpr==2.6.8
- resampy==0.2.1
- scikit-learn==0.20.1
- tables==3.4.4
prefix: C:\ProgramData\Anaconda3\envs\audiosearchmin