forked from 2018HCIntern/2018HCIntern
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathrequirements.txt
234 lines (234 loc) · 6.76 KB
/
requirements.txt
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
# This file may be used to create an environment using:
# $ conda create --name <env> --file <this file>
# platform: osx-64
_ipyw_jlab_nb_ext_conf=0.1.0=py36h2fc01ae_0
alabaster=0.7.10=py36h174008c_0
anaconda=5.0.1=py36h6e48e2d_1
anaconda-client=1.6.5=py36h04cfe59_0
anaconda-navigator=1.6.9=py36ha31b149_0
anaconda-project=0.8.0=py36h99320b2_0
appnope=0.1.0=py36hf537a9a_0
appscript=1.0.1=py36h9e71e49_1
asn1crypto=0.22.0=py36hb705621_1
astroid=1.5.3=py36h1333018_0
astropy=2.0.2=py36hf79c81d_4
babel=2.5.0=py36h9f161ff_0
backports=1.0=py36ha3c1827_1
backports.shutil_get_terminal_size=1.0.0=py36hd7a2ee4_2
beautifulsoup4=4.6.0=py36h72d3c9f_1
bitarray=0.8.1=py36h20fa61d_0
bkcharts=0.2=py36h073222e_0
blaze=0.11.3=py36h02e7a37_0
bleach=2.0.0=py36h8fcea71_0
bokeh=0.12.10=py36hfd5be35_0
boto=2.48.0=py36hdbc59ac_1
bottleneck=1.2.1=py36hbd380ad_0
bzip2=1.0.6=h92991f9_1
ca-certificates=2017.08.26=ha1e5d58_0
certifi=2017.7.27.1=py36hd973bb6_0
cffi=1.10.0=py36h880867e_1
chardet=3.0.4=py36h96c241c_1
click=6.7=py36hec950be_0
cloudpickle=0.4.0=py36h13b7e56_0
clyent=1.2.2=py36hae3ad88_0
colorama=0.3.9=py36hd29a30c_0
conda=4.3.30=py36h173c244_0
conda-build=3.0.27=py36hb78d8cd_0
conda-env=2.6.0=h36134e3_0
conda-verify=2.0.0=py36he837df3_0
contextlib2=0.5.5=py36hd66e5e7_0
cryptography=2.0.3=py36h22d4226_1
curl=7.55.1=h7601780_3
cycler=0.10.0=py36hfc81398_0
cython=0.26.1=py36hd51f8eb_0
cytoolz=0.8.2=py36h290905f_0
dask=0.15.3=py36hc3ad2d6_0
dask-core=0.15.3=py36hc0be6b7_0
datashape=0.5.4=py36hfb22df8_0
dbus=1.10.22=h50d9ad6_0
decorator=4.1.2=py36h69a1b52_0
distributed=1.19.1=py36h4ae75d2_0
docutils=0.14=py36hbfde631_0
entrypoints=0.2.3=py36hd81d71f_2
et_xmlfile=1.0.1=py36h1315bdc_0
expat=2.2.4=h8f26bf8_1
fastcache=1.0.2=py36h8606a76_0
filelock=2.0.12=py36h0d0b4fb_0
flask=0.12.2=py36h5658096_0
flask-cors=3.0.3=py36h7387b97_0
freetype=2.8=h143eb01_0
get_terminal_size=1.0.0=h7520d66_0
gettext=0.19.8.1=hb0f4f8b_2
gevent=1.2.2=py36ha70b9d6_0
glib=2.53.6=ha08cb78_1
glob2=0.5=py36h12393a9_0
gmp=6.1.2=h4a9834d_0
gmpy2=2.0.8=py36h7ef02cb_1
greenlet=0.4.12=py36hf09ba7b_0
h5py=2.7.0=py36h6400cee_1
hdf5=1.10.1=h6090a45_0
heapdict=1.0.0=py36h27a9ac6_0
html5lib=0.999999999=py36h79312fd_0
icu=58.2=hea21ae5_0
idna=2.6=py36h8628d0a_1
imageio=2.2.0=py36h5e01289_0
imagesize=0.7.1=py36h3495948_0
intel-openmp=2018.0.0=h68bdfb3_7
ipykernel=4.6.1=py36h3208c25_0
ipython=6.1.0=py36hf612aae_1
ipython_genutils=0.2.0=py36h241746c_0
ipywidgets=7.0.0=py36h24d3910_0
isort=4.2.15=py36hceb2a01_0
itsdangerous=0.24=py36h49fbb8d_1
jbig=2.1=h4d881f8_0
jdcal=1.3=py36h1986823_0
jedi=0.10.2=py36h6325097_0
jinja2=2.9.6=py36hde4beb4_1
jpeg=9b=haccd157_1
jsonschema=2.6.0=py36hb385e00_0
jupyter=1.0.0=py36h598a6cc_0
jupyter_client=5.1.0=py36hf6c435f_0
jupyter_console=5.2.0=py36hccf5b1c_1
jupyter_core=4.3.0=py36h93810fe_0
jupyterlab=0.27.0=py36hd3092eb_2
jupyterlab_launcher=0.4.0=py36h93e02e9_0
lazy-object-proxy=1.3.1=py36h2fbbe47_0
libcxx=4.0.1=h579ed51_0
libcxxabi=4.0.1=hebd6815_0
libedit=3.1=hb4e282d_0
libffi=3.2.1=hd939716_3
libgfortran=3.0.1=h93005f0_2
libiconv=1.15=h99df5da_5
libpng=1.6.32=hce72d48_2
libsodium=1.0.13=hba5e272_2
libssh2=1.8.0=h1218725_2
libtiff=4.0.8=h8cd0352_9
libxml2=2.9.4=hbd0960b_5
libxslt=1.1.29=h95a2935_5
llvmlite=0.20.0=py36_0
locket=0.2.0=py36hca03003_1
lxml=4.1.0=py36h8179fc0_0
lzo=2.10=hb6b8854_1
markupsafe=1.0=py36h3a1e703_1
matplotlib=2.1.0=py36h5068139_0
mccabe=0.6.1=py36hdaeb55d_0
mistune=0.7.4=py36hccd6237_0
mkl=2018.0.0=h5ef208c_6
mkl-service=1.1.2=py36h7ea6df4_4
mpc=1.0.3=hc455b36_4
mpfr=3.1.5=h7fa3772_1
mpmath=0.19=py36h9185fea_2
msgpack-python=0.4.8=py36h46767b2_0
multipledispatch=0.4.9=py36hc5f92b5_0
navigator-updater=0.1.0=py36h7aee5fb_0
nbconvert=5.3.1=py36h810822e_0
nbformat=4.4.0=py36h827af21_0
ncurses=6.0=ha932d30_1
networkx=2.0=py36hefccab9_0
nltk=3.2.4=py36h27d1ea0_0
nose=1.3.7=py36h73fae2b_2
notebook=5.0.0=py36h462289e_2
numba=0.35.0=np113py36_6
numexpr=2.6.2=py36h0f4f1da_1
numpy=1.13.3=py36h2cdce51_0
numpydoc=0.7.0=py36he54d08e_0
odo=0.5.1=py36hc1af34a_0
olefile=0.44=py36ha08bf50_0
openpyxl=2.4.8=py36he899640_1
openssl=1.0.2l=h57f3a61_2
packaging=16.8=py36he5e8135_0
pandas=0.20.3=py36hd6655d8_2
pandoc=1.19.2.1=ha5e8f32_1
pandocfilters=1.4.2=py36h3b0b094_1
partd=0.3.8=py36hf5c4cb8_0
path.py=10.3.1=py36hd33c240_0
pathlib2=2.3.0=py36h877a6d8_0
patsy=0.4.1=py36ha1b3fa5_0
pcre=8.41=h29eefc5_0
pep8=1.7.0=py36hc268eb1_0
pexpect=4.2.1=py36h3eac828_0
pickleshare=0.7.4=py36hf512f8e_0
pillow=4.2.1=py36h0263179_0
pip=9.0.1=py36hbd95645_3
pkginfo=1.4.1=py36h25bf955_0
ply=3.10=py36h10e714e_0
prompt_toolkit=1.0.15=py36haeda067_0
psutil=5.4.0=py36ha052210_0
ptyprocess=0.5.2=py36he6521c3_0
py=1.4.34=py36hecf431b_1
pycodestyle=2.3.1=py36h83e8646_0
pycosat=0.6.2=py36h1486600_0
pycparser=2.18=py36h724b2fc_1
pycrypto=2.6.1=py36h72f2894_1
pycurl=7.43.0=py36hdb90038_3
pyflakes=1.6.0=py36hea45e83_0
pygments=2.2.0=py36h240cd3f_0
pylint=1.7.4=py36hdee9077_0
pyodbc=4.0.17=py36h5478161_0
pyopenssl=17.2.0=py36h5d7bf08_0
pyparsing=2.2.0=py36hb281f35_0
pyqt=5.6.0=py36he5c6137_6
pysocks=1.6.7=py36hfa33cec_1
pytables=3.4.2=py36hfbd7ab0_2
pytest=3.2.1=py36h9963153_1
python=3.6.3=h6804ab2_0
python-dateutil=2.6.1=py36h86d2abb_1
python.app=2=py36h7fe2238_6
pytz=2017.2=py36h2e7dfbc_1
pywavelets=0.5.2=py36h2710a04_0
pyyaml=3.12=py36h2ba1e63_1
pyzmq=16.0.2=py36h087ffad_2
qt=5.6.2=h9975529_14
qtawesome=0.4.4=py36h468c6fb_0
qtconsole=4.3.1=py36hd96c0ff_0
qtpy=1.3.1=py36h16bb863_0
readline=7.0=h81b24a6_3
requests=2.18.4=py36h4516966_1
rope=0.10.5=py36h5764ad1_0
ruamel_yaml=0.11.14=py36h9d7ade0_2
scikit-image=0.13.0=py36h398857d_1
scikit-learn=0.19.1=py36hffbff8c_0
scipy=0.19.1=py36h3e758e1_3
seaborn=0.8.0=py36h74df97e_0
setuptools=36.5.0=py36h2134326_0
simplegeneric=0.8.1=py36he5b5b09_0
singledispatch=3.4.0.3=py36hf20db9d_0
sip=4.18.1=py36h2824476_2
six=1.11.0=py36h0e22d5e_1
snowballstemmer=1.2.1=py36h6c7b616_0
sortedcollections=0.5.3=py36he9c3ed6_0
sortedcontainers=1.5.7=py36ha982688_0
sphinx=1.6.3=py36hcd1b3e7_0
sphinxcontrib=1.0=py36h9364dc8_1
sphinxcontrib-websupport=1.0.1=py36h92f4a7a_1
spyder=3.2.4=py36h908396f_0
sqlalchemy=1.1.13=py36h156b851_0
sqlite=3.20.1=h900c3b0_1
statsmodels=0.8.0=py36h9c68fc9_0
sympy=1.1.1=py36h7f3cf04_0
tblib=1.3.2=py36hda67792_0
terminado=0.6=py36h656782e_0
testpath=0.3.1=py36h625a49b_0
tk=8.6.7=hcdce994_1
toolz=0.8.2=py36h7b95164_0
tornado=4.5.2=py36h468dda9_0
traitlets=4.3.2=py36h65bd3ce_0
typing=3.6.2=py36haa2d9ef_0
unicodecsv=0.14.1=py36he531d66_0
unixodbc=2.3.4=h4cb4dde_1
urllib3=1.22=py36h68b9469_0
wcwidth=0.1.7=py36h8c6ec74_0
webencodings=0.5.1=py36h3b9701d_1
werkzeug=0.12.2=py36h168efa1_0
wheel=0.29.0=py36h3597b6d_1
widgetsnbextension=3.0.2=py36h91f43ea_1
wrapt=1.10.11=py36hc29e774_0
xlrd=1.1.0=py36h336f4a2_1
xlsxwriter=1.0.2=py36h3736301_0
xlwings=0.11.4=py36hc75f156_0
xlwt=1.2.0=py36h5ad1178_0
xz=5.2.3=ha24016e_1
yaml=0.1.7=hff548bb_1
zeromq=4.2.2=h131e0f7_1
zict=0.1.3=py36h71da714_0
zlib=1.2.11=h60db283_1