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packtpublishing
GitHub Repository: packtpublishing/machine-learning-for-algorithmic-trading-second-edition
Path: blob/master/installation/windows/ml4t.yml
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name: ml4t
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channels:
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- fastai
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- bashtage
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- ml4t
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- conda-forge
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- defaults
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- anaconda
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dependencies:
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- _py-xgboost-mutex=2.0
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- _tflow_select=2.3.0
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- abseil-cpp=20210324.2
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- absl-py=1.0.0
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- aiohttp=3.8.1
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- aiosignal=1.2.0
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- alembic=1.7.7
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- alphalens-reloaded=0.4.2
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- anyio=3.5.0
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- aom=3.3.0
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- appdirs=1.4.4
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- arch=4.15
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- argon2-cffi=21.3.0
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- argon2-cffi-bindings=21.2.0
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- arrow-cpp=7.0.0
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- arviz=0.12.0
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- astor=0.8.1
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- asttokens=2.0.5
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- astunparse=1.6.3
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- async-timeout=4.0.2
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- attrs=21.4.0
31
- automat=20.2.0
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- autopep8=1.6.0
33
- aws-c-cal=0.5.11
34
- aws-c-common=0.6.2
35
- aws-c-event-stream=0.2.7
36
- aws-c-io=0.10.5
37
- aws-checksums=0.1.11
38
- aws-sdk-cpp=1.8.186
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- babel=2.9.1
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- backcall=0.2.0
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- backports=1.0
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- backports.functools_lru_cache=1.6.4
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- bcolz-zipline=1.2.4
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- bcrypt=3.2.0
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- beautifulsoup4=4.11.1
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- blas=1.0
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- bleach=5.0.0
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- blinker=1.4
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- blosc=1.21.1
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- bokeh=2.4.2
51
- bottleneck=1.3.4
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- box2d-py=2.3.8
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- bqplot=0.12.33
54
- brotli=1.0.9
55
- brotli-bin=1.0.9
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- brotlipy=0.7.0
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- bzip2=1.0.8
58
- c-ares=1.18.1
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- c-blosc2=2.0.4
60
- ca-certificates=2021.10.8
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- cachetools=5.0.0
62
- cairo=1.16.0
63
- catalogue=2.0.6
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- catboost=1.0.5
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- certifi=2021.10.8
66
- cffi=1.15.0
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- cfitsio=4.1.0
68
- cftime=1.6.0
69
- charls=2.3.4
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- charset-normalizer=2.0.12
71
- click=8.0.4
72
- cloudpickle=2.0.0
73
- colorama=0.4.4
74
- colorlover=0.3.0
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- conda=4.12.0
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- conda-package-handling=1.8.1
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- constantly=15.1.0
78
- cryptography=36.0.2
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- cssselect=1.1.0
80
- curl=7.83.0
81
- cycler=0.11.0
82
- cymem=2.0.6
83
- cython=0.29.28
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- cython-blis=0.7.7
85
- cytoolz=0.11.2
86
- dask-core=2022.4.1
87
- dataclasses=0.8
88
- debugpy=1.6.0
89
- decorator=5.1.1
90
- defusedxml=0.7.1
91
- dill=0.3.4
92
- empyrical-reloaded=0.5.8
93
- entrypoints=0.4
94
- et_xmlfile=1.0.1
95
- exchange-calendars=3.3
96
- executing=0.8.3
97
- expat=2.4.8
98
- fastprogress=1.0.2
99
- ffmpeg=4.3.1
100
- filelock=3.6.0
101
- flit-core=3.7.1
102
- font-ttf-dejavu-sans-mono=2.37
103
- font-ttf-inconsolata=3.000
104
- font-ttf-source-code-pro=2.038
105
- font-ttf-ubuntu=0.83
106
- fontconfig=2.14.0
107
- fonts-conda-ecosystem=1
108
- fonts-conda-forge=1
109
- fonttools=4.33.3
110
- formulaic=0.3.3
111
- freetype=2.10.4
112
- fribidi=1.0.10
113
- frozenlist=1.3.0
114
- fsspec=2022.3.0
115
- funcy=1.17
116
- future=0.18.2
117
- gast=0.4.0
118
- gensim=3.8.3
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- getopt-win32=0.1
120
- gettext=0.19.8.1
121
- gflags=2.2.2
122
- giflib=5.2.1
123
- glog=0.6.0
124
- google-auth=2.6.6
125
- google-auth-oauthlib=0.4.6
126
- google-pasta=0.2.0
127
- googleapis-common-protos=1.56.0
128
- graphite2=1.3.13
129
- graphviz=3.0.0
130
- greenlet=1.1.2
131
- grpc-cpp=1.43.2
132
- grpcio=1.45.0
133
- gts=0.7.6
134
- gym=0.21.0
135
- gym-box2d=0.21.0
136
- h5py=2.10.0
137
- harfbuzz=4.2.0
138
- hdbscan=0.8.28
139
- hdf4=4.2.15
140
- hdf5=1.10.6
141
- html5lib=1.1
142
- hyperlink=21.0.0
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- icu=69.1
144
- idna=3.3
145
- imagecodecs=2022.2.22
146
- imageio=2.18.0
147
- importlib-metadata=4.11.3
148
- importlib_metadata=4.11.3
149
- importlib_resources=5.7.1
150
- incremental=21.3.0
151
- inflection=0.5.1
152
- intel-openmp=2019.4
153
- interface_meta=1.3.0
154
- intervaltree=3.0.2
155
- ipydatawidgets=4.2.0
156
- ipykernel=6.13.0
157
- ipython=8.2.0
158
- ipython_genutils=0.2.0
159
- ipyvolume=0.6.0a8
160
- ipywebrtc=0.6.0
161
- ipywidgets=7.7.0
162
- iso3166=2.0.2
163
- iso4217=1.6.20180829
164
- itemadapter=0.5.0
165
- itemloaders=1.0.4
166
- jbig=2.1
167
- jedi=0.18.1
168
- jellyfish=0.9.0
169
- jinja2=3.1.1
170
- jmespath=1.0.0
171
- joblib=1.1.0
172
- jpeg=9e
173
- json5=0.9.5
174
- jsonschema=4.4.0
175
- jupyter=1.0.0
176
- jupyter_client=7.3.0
177
- jupyter_console=6.4.3
178
- jupyter_contrib_core=0.3.3
179
- jupyter_contrib_nbextensions=0.5.1
180
- jupyter_core=4.9.2
181
- jupyter_highlight_selected_word=0.2.0
182
- jupyter_latex_envs=1.4.6
183
- jupyter_nbextensions_configurator=0.4.1
184
- jupyter_server=1.15.6
185
- jupyterlab=3.3.4
186
- jupyterlab_server=2.13.0
187
- jupyterlab_widgets=1.1.0
188
- jxrlib=1.1
189
- keras-applications=1.0.8
190
- keras-preprocessing=1.1.2
191
- kiwisolver=1.4.2
192
- korean_lunar_calendar=0.2.1
193
- krb5=1.19.3
194
- langcodes=3.3.0
195
- lcms2=2.12
196
- lerc=3.0
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- libaec=1.0.6
198
- libavif=0.10.1
199
- libblas=3.9.0
200
- libbrotlicommon=1.0.9
201
- libbrotlidec=1.0.9
202
- libbrotlienc=1.0.9
203
- libcblas=3.9.0
204
- libclang=13.0.1
205
- libcrc32c=1.1.2
206
- libcurl=7.83.0
207
- libdeflate=1.10
208
- libffi=3.4.2
209
- libgd=2.3.3
210
- libglib=2.70.2
211
- libgoogle-cloud=1.35.0
212
- libgpuarray=0.7.6
213
- libiconv=1.16
214
- liblapack=3.9.0
215
- libmklml=2019.0.5
216
- libnetcdf=4.8.1
217
- libpng=1.6.37
218
- libprotobuf=3.19.4
219
- libpython=2.2
220
- libsodium=1.0.18
221
- libssh2=1.10.0
222
- libthrift=0.16.0
223
- libtiff=4.3.0
224
- libutf8proc=2.7.0
225
- libuv=1.43.0
226
- libwebp=1.2.2
227
- libwebp-base=1.2.2
228
- libxcb=1.13
229
- libxgboost=1.5.1
230
- libxml2=2.9.10
231
- libxslt=1.1.33
232
- libzip=1.8.0
233
- libzlib=1.2.11
234
- libzopfli=1.0.3
235
- lightgbm=3.3.2
236
- linearmodels=4.26
237
- llvmlite=0.36.0
238
- locket=1.0.0
239
- logbook=1.5.3
240
- lru-dict=1.1.7
241
- lxml=4.8.0
242
- lz4-c=1.9.3
243
- m2w64-binutils=2.25.1
244
- m2w64-bzip2=1.0.6
245
- m2w64-crt-git=5.0.0.4636.2595836
246
- m2w64-gcc=5.3.0
247
- m2w64-gcc-ada=5.3.0
248
- m2w64-gcc-fortran=5.3.0
249
- m2w64-gcc-libgfortran=5.3.0
250
- m2w64-gcc-libs=5.3.0
251
- m2w64-gcc-libs-core=5.3.0
252
- m2w64-gcc-objc=5.3.0
253
- m2w64-gmp=6.1.0
254
- m2w64-headers-git=5.0.0.4636.c0ad18a
255
- m2w64-isl=0.16.1
256
- m2w64-libiconv=1.14
257
- m2w64-libmangle-git=5.0.0.4509.2e5a9a2
258
- m2w64-libwinpthread-git=5.0.0.4634.697f757
259
- m2w64-make=4.1.2351.a80a8b8
260
- m2w64-mpc=1.0.3
261
- m2w64-mpfr=3.1.4
262
- m2w64-pkg-config=0.29.1
263
- m2w64-toolchain=5.3.0
264
- m2w64-tools-git=5.0.0.4592.90b8472
265
- m2w64-windows-default-manifest=6.4
266
- m2w64-winpthreads-git=5.0.0.4634.697f757
267
- m2w64-zlib=1.2.8
268
- mako=1.2.0
269
- markdown=3.3.6
270
- markupsafe=2.1.1
271
- matplotlib=3.5.1
272
- matplotlib-base=3.5.1
273
- matplotlib-inline=0.1.3
274
- menuinst=1.4.18
275
- mistune=0.8.4
276
- mkl=2021.4.0
277
- mkl-service=2.4.0
278
- mock=4.0.3
279
- more-itertools=8.12.0
280
- mplfinance=0.12.8b9
281
- mpmath=1.2.1
282
- msys2-conda-epoch=20160418
283
- multidict=6.0.2
284
- multipledispatch=0.6.0
285
- multitasking=0.0.9
286
- munkres=1.1.4
287
- murmurhash=1.0.7
288
- mypy_extensions=0.4.3
289
- nb_conda=2.2.1
290
- nb_conda_kernels=2.3.1
291
- nbclassic=0.3.7
292
- nbconvert=5.6.1
293
- nbformat=5.3.0
294
- nest-asyncio=1.5.5
295
- netcdf4=1.5.7
296
- networkx=2.7.1
297
- ninja=1.10.2
298
- nltk=3.6.7
299
- notebook=6.4.11
300
- notebook-shim=0.1.0
301
- numba=0.53.0
302
- numexpr=2.7.3
303
- numpy=1.22.3
304
- oauthlib=3.2.0
305
- opencv-python-headless=4.5.5.64
306
- openjpeg=2.4.0
307
- openpyxl=3.0.9
308
- openssl=1.1.1n
309
- opt_einsum=3.3.0
310
- packaging=21.3
311
- pandas=1.2.5
312
- pandas-datareader=0.10.0
313
- pandocfilters=1.5.0
314
- pango=1.50.7
315
- parquet-cpp=1.5.1
316
- parsel=1.6.0
317
- parso=0.8.3
318
- partd=1.2.0
319
- pathy=0.6.1
320
- patsy=0.5.2
321
- pcre=8.45
322
- pickleshare=0.7.5
323
- pillow=9.1.0
324
- pip=22.0.4
325
- pixman=0.40.0
326
- plotly=5.7.0
327
- preshed=3.0.6
328
- prometheus_client=0.14.1
329
- promise=2.3
330
- prompt-toolkit=3.0.29
331
- prompt_toolkit=3.0.29
332
- property-cached=1.6.4
333
- property_cached=1.6.4
334
- protego=0.2.1
335
- protobuf=3.19.4
336
- psutil=5.9.0
337
- pthread-stubs=0.4
338
- pure_eval=0.2.2
339
- py-xgboost=1.5.1
340
- pyarrow=7.0.0
341
- pyasn1=0.4.8
342
- pyasn1-modules=0.2.7
343
- pycodestyle=2.8.0
344
- pycosat=0.6.3
345
- pycparser=2.21
346
- pydantic=1.8.2
347
- pydispatcher=2.0.5
348
- pydot=1.4.2
349
- pyfolio-reloaded=0.9.4
350
- pyglet=1.5.16
351
- pygments=2.12.0
352
- pygpu=0.7.6
353
- pyhdfe=0.1.0
354
- pyjwt=2.3.0
355
- pykalman=0.9.5
356
- pyldavis=3.3.1
357
- pyluach=1.4.1
358
- pymc3=3.11.4
359
- pynndescent=0.5.6
360
- pyopenssl=22.0.0
361
- pyparsing=3.0.8
362
- pyphen=0.12.0
363
- pyqt=5.12.3
364
- pyqt-impl=5.12.3
365
- pyqt5-sip=4.19.18
366
- pyqtchart=5.12
367
- pyqtwebengine=5.12.1
368
- pyreadline=2.1
369
- pyrsistent=0.18.1
370
- pysocks=1.7.1
371
- pytables=3.6.1
372
- python=3.8.13
373
- python-dateutil=2.8.2
374
- python-fastjsonschema=2.15.3
375
- python-graphviz=0.20
376
- python-interface=1.6.0
377
- python_abi=3.8
378
- pythreejs=2.3.0
379
- pytorch=1.10.2
380
- pytz=2022.1
381
- pyu2f=0.1.5
382
- pywavelets=1.3.0
383
- pywin32=303
384
- pywinpty=1.1.6
385
- pyyaml=6.0
386
- pyzmq=22.3.0
387
- qt=5.12.9
388
- qtconsole=5.3.0
389
- qtconsole-base=5.3.0
390
- qtpy=2.0.1
391
- quandl=3.4.6
392
- queuelib=1.6.2
393
- re2=2022.02.01
394
- regex=2022.4.24
395
- requests=2.27.1
396
- requests-file=1.5.1
397
- requests-oauthlib=1.3.1
398
- rsa=4.8
399
- ruamel_yaml=0.15.80
400
- scikit-image=0.19.2
401
- scikit-learn=1.0.2
402
- scipy=1.8.0
403
- scrapy=2.6.1
404
- seaborn=0.11.2
405
- seaborn-base=0.11.2
406
- semver=2.13.0
407
- send2trash=1.8.0
408
- service_identity=18.1.0
409
- setuptools=59.8.0
410
- setuptools-scm=6.4.2
411
- shap=0.40.0
412
- shellingham=1.4.0
413
- six=1.15.0
414
- slicer=0.0.7
415
- smart_open=5.2.1
416
- snappy=1.1.8
417
- sniffio=1.2.0
418
- sortedcontainers=2.4.0
419
- soupsieve=2.3.1
420
- spacy=3.2.4
421
- spacy-legacy=3.0.9
422
- spacy-loggers=1.0.2
423
- sqlalchemy=1.4.36
424
- sqlite=3.38.3
425
- srsly=2.4.3
426
- stack_data=0.2.0
427
- statsmodels=0.13.2
428
- sympy=1.9
429
- ta-lib=0.4.21
430
- tbb=2021.5.0
431
- tenacity=8.0.1
432
- tensorboard=2.8.0
433
- tensorboard-data-server=0.6.0
434
- tensorboard-plugin-wit=1.8.1
435
- tensorflow=2.3.0
436
- tensorflow-base=2.3.0
437
- tensorflow-datasets=4.3.0
438
- tensorflow-estimator=2.5.0
439
- tensorflow-metadata=0.14.0
440
- termcolor=1.1.0
441
- terminado=0.13.3
442
- testpath=0.6.0
443
- textacy=0.11.0
444
- textblob=0.15.3
445
- theano-pymc=1.1.2
446
- thinc=8.0.15
447
- threadpoolctl=3.1.0
448
- tifffile=2022.4.28
449
- tk=8.6.12
450
- tldextract=3.2.1
451
- toml=0.10.2
452
- tomli=2.0.1
453
- toolz=0.11.2
454
- tornado=6.1
455
- tqdm=4.64.0
456
- trading-calendars=2.1.1
457
- traitlets=5.1.1
458
- traittypes=0.2.1
459
- twisted=22.4.0
460
- twisted-iocpsupport=1.0.2
461
- typer=0.4.1
462
- typing-extensions=3.10.0.2
463
- typing_extensions=3.10.0.2
464
- ucrt=10.0.20348.0
465
- umap-learn=0.5.3
466
- unicodedata2=14.0.0
467
- urllib3=1.26.9
468
- vc=14.2
469
- vs2015_runtime=14.29.30037
470
- vs2017_win-64=19.16.27033
471
- vswhere=3.0.1
472
- w3lib=1.22.0
473
- wasabi=0.9.1
474
- wcwidth=0.2.5
475
- webencodings=0.5.1
476
- websocket-client=1.3.2
477
- werkzeug=2.1.2
478
- wheel=0.37.1
479
- widgetsnbextension=3.6.0
480
- win_inet_pton=1.1.0
481
- winpty=0.4.3
482
- wordcloud=1.8.1
483
- wrapt=1.14.0
484
- xarray=2022.3.0
485
- xgboost=1.5.1
486
- xlrd=2.0.1
487
- xorg-kbproto=1.0.7
488
- xorg-libice=1.0.10
489
- xorg-libsm=1.2.3
490
- xorg-libx11=1.7.2
491
- xorg-libxau=1.0.9
492
- xorg-libxdmcp=1.1.3
493
- xorg-libxext=1.3.4
494
- xorg-libxpm=3.5.13
495
- xorg-libxt=1.2.1
496
- xorg-xextproto=7.3.0
497
- xorg-xproto=7.0.31
498
- xz=5.2.5
499
- yaml=0.2.5
500
- yarl=1.7.2
501
- yellowbrick=1.4
502
- yfinance=0.1.63
503
- zeromq=4.3.4
504
- zfp=0.5.5
505
- zipline-reloaded=2.2.0
506
- zipp=3.8.0
507
- zlib=1.2.11
508
- zope.interface=5.4.0
509
- zstd=1.5.2
510
- pip:
511
- backtrader==1.9.76.123
512
- cvxpy==1.2.0
513
- ecos==2.0.10
514
- livelossplot==0.5.5
515
- osqp==0.6.2.post5
516
- pymdptoolbox==4.0b3
517
- pyportfolioopt==1.5.2
518
- qdldl==0.1.5.post2
519
- scs==3.2.0
520
prefix: C:\Users\stefa\miniconda3\envs\ml4t
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