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pyforest - feel the bliss of automated imports

Home Page: https://8080labs.com

License: MIT License

Python 76.47% Shell 10.35% Batchfile 0.35% JavaScript 9.07% Dockerfile 0.89% Jupyter Notebook 2.88%

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reeftrip javatrending eddiecityu prhldk emekaborisama sajid3 rubenmccarty goldenamir janderer pandinosaurus awesome-archive stjordanis ayyucekizrak kasapu esmaeilinia rishisinha ai-engineer-learning samueldaniel7 harshitchhipa neelpuniwala mohammadalm amrka ronaldobernardi tshepomk amir22010 praveenjoshi01 codeaudit anshumanjadhav agatagruza szxq raystyle yishuihanhan git-ztx kirosg halkiopoulos tchigher cgvarela mayanksoni20 ptzagk jabogithub trendingtechnology danil-tolkachev jdhazard mattalhonte evdmade01 vishalkesti382 nagpalnitesh nirupam1sharma iamharis thomascherickal flamato santhu45482 anuragpylearner shravanvaddadi veshitala srikanthvadapalli bonchae madhavadama chandansinha xiaoxing1120 sabarnwa patilanup246 xj8018 rsohlot donovan68 rbhushan90 pseudobublar atasky tranquangduc meetrahulverma xqinshan henryiii forkdump analytics2go dushyanttara rohitmaggu abhinavjain13 aakashofficial xxsacxx k-vamshi braman09 ashishpatel26 rgodlewski-ml wesszabo heshenxian1 adillibabu cecethea sechan9999 mlataibrahim nishantsbi nournegm fagan2888 cdshary ecsantana76 harupy hospice calvinchuks akafle1003 ghostintheshellarise pooyaalamirpour

pyforest's Issues

Add AWS Data Wrangler support

Awesome project! Congrats!

I would like to see an auto import for AWS Data Wrangler.

import awswrangler as wr

Imports work but are not imputed in the first cell on kaggle notebooks platform

Environment

Platform: Kaggle Notebooks (https://www.kaggle.com/code)
Operating System: Ubuntu 18.04.5 LTS
Python Version: 3.7.10
How did you install pyforest: !pip install upgrade pyforest (and restart notebook)
Python packages:

absl-py==0.12.0
affine==2.3.0
aiobotocore==1.3.1
aiohttp @ file:///home/conda/feedstock_root/build_artifacts/aiohttp_1623682242266/work
aiohttp-cors==0.7.0
aioitertools==0.7.1
aioredis==1.3.1
albumentations==1.0.1
alembic==1.6.5
allennlp==2.5.0
altair==4.1.0
annoy==1.17.0
ansiwrap==0.8.4
anyio @ file:///home/conda/feedstock_root/build_artifacts/anyio_1624037809245/work/dist
appdirs @ file:///home/conda/feedstock_root/build_artifacts/appdirs_1603108395799/work
argon2-cffi @ file:///home/conda/feedstock_root/build_artifacts/argon2-cffi_1610522577486/work
arrow @ file:///home/conda/feedstock_root/build_artifacts/arrow_1620325441783/work
arviz==0.11.2
asn1crypto @ file:///home/conda/feedstock_root/build_artifacts/asn1crypto_1595949944546/work
astunparse==1.6.3
async-generator==1.10
async-timeout==3.0.1
attrs @ file:///home/conda/feedstock_root/build_artifacts/attrs_1620387926260/work
audioread==2.1.9
autobahn==21.3.1
autocfg==0.0.8
Automat==20.2.0
Babel==2.9.1
backcall @ file:///home/conda/feedstock_root/build_artifacts/backcall_1592338393461/work
backports.csv==1.0.7
backports.functools-lru-cache @ file:///home/conda/feedstock_root/build_artifacts/backports.functools_lru_cache_1618230623929/work
basemap @ file:///home/conda/feedstock_root/build_artifacts/basemap_1602682523538/work
bayesian-optimization==1.2.0
bayespy==0.5.22
beatrix-jupyterlab @ file:///tmp/beatrix_jupyterlab-latest.tar.gz
beautifulsoup4==4.9.3
binaryornot==0.4.4
biopython==1.79
black @ file:///home/conda/feedstock_root/build_artifacts/black-recipe_1622561163993/work
bleach @ file:///home/conda/feedstock_root/build_artifacts/bleach_1612213472466/work
blessings==1.7
blinker==1.4
blis==0.7.4
bokeh==2.3.2
Boruta==0.3
boto3==1.17.105
botocore==1.20.105
Bottleneck @ file:///home/conda/feedstock_root/build_artifacts/bottleneck_1611195599064/work
-e git+https://github.com/SohierDane/BigQuery_Helper@8615a7f6c1663e7f2d48aa2b32c2dbcb600a440f#egg=bq_helper
bqplot==0.12.29
branca==0.4.2
brewer2mpl==1.4.1
brotlipy==0.7.0
cachetools @ file:///home/conda/feedstock_root/build_artifacts/cachetools_1619593780156/work
caip-notebooks-serverextension @ file:///opt/conda/conda-bld/dlenv-base_1624064777121/work/packages/server_extension
Cartopy @ file:///home/conda/feedstock_root/build_artifacts/cartopy_1608577584581/work
catalogue==1.0.0
catalyst==21.6
catboost==0.26
category-encoders==2.2.2
certifi==2021.5.30
cesium==0.9.12
cffi @ file:///home/conda/feedstock_root/build_artifacts/cffi_1613413867554/work
cftime==1.5.0
chardet @ file:///home/conda/feedstock_root/build_artifacts/chardet_1610093487176/work
checklist==0.0.11
cheroot==8.5.2
CherryPy==18.6.1
cleverhans==3.1.0
click==7.1.2
click-plugins==1.1.1
cliff==3.8.0
cligj @ file:///home/conda/feedstock_root/build_artifacts/cligj_1622246659049/work
cloud-tpu-client==0.10
cloudpickle @ file:///home/conda/feedstock_root/build_artifacts/cloudpickle_1598400192773/work
cmaes==0.8.2
cmd2==2.1.2
cmdstanpy==0.9.5
cmudict==0.4.5
colorama @ file:///home/conda/feedstock_root/build_artifacts/colorama_1602866480661/work
colorcet==2.0.6
colorlog==5.0.1
colorlover==0.3.0
conda==4.9.2
conda-package-handling @ file:///home/conda/feedstock_root/build_artifacts/conda-package-handling_1618231393684/work
configparser==5.0.2
confuse @ file:///home/conda/feedstock_root/build_artifacts/confuse_1605988134315/work
constantly==15.1.0
contextily==1.1.0
contextlib2==21.6.0
convertdate==2.3.2
cookiecutter==1.7.0
cryptography @ file:///home/conda/feedstock_root/build_artifacts/cryptography_1616851478755/work
cufflinks==0.17.3
CVXcanon==0.1.2
cvxpy==1.1.7
cycler==0.10.0
cymem==2.0.5
cysignals==1.10.3
Cython==0.29.23
cytoolz==0.11.0
dask==2021.6.2
dataclasses==0.6
datashader==0.13.0
datashape==0.5.2
datatable==1.0.0
deap==1.3.1
decorator @ file:///home/conda/feedstock_root/build_artifacts/decorator_1621187651333/work
deepdish==0.3.6
defusedxml @ file:///home/conda/feedstock_root/build_artifacts/defusedxml_1615232257335/work
Delorean==1.0.0
Deprecated @ file:///home/conda/feedstock_root/build_artifacts/deprecated_1618254172504/work
descartes==1.1.0
dill==0.3.4
dipy==1.4.1
distributed==2021.6.2
dlib==19.22.0
dm-tree==0.1.6
docker @ file:///home/conda/feedstock_root/build_artifacts/docker-py_1617755742617/work
docker-pycreds==0.4.0
docutils==0.17.1
earthengine-api==0.1.272
easydev==0.11.1
easyocr==1.3.2
ecos==2.0.7.post1
eli5==0.11.0
emoji==1.2.0
en-core-web-lg @ https://github.com/explosion/spacy-models/releases/download/en_core_web_lg-2.3.1/en_core_web_lg-2.3.1.tar.gz
en-core-web-sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-2.3.1/en_core_web_sm-2.3.1.tar.gz
entrypoints @ file:///home/conda/feedstock_root/build_artifacts/entrypoints_1605121927639/work/dist/entrypoints-0.3-py2.py3-none-any.whl
ephem==4.0.0.2
essentia==2.1b6.dev374
fancyimpute==0.5.5
fastai==2.2.7
fastcore==1.3.20
fastprogress==1.0.0
fasttext==0.9.2
fbpca==1.0
fbprophet==0.7.1
feather-format==0.4.1
featuretools==0.25.0
feedparser==6.0.8
filelock==3.0.12
Fiona==1.8.18
fitter==1.3.0
flake8==3.9.2
flashtext==2.7
Flask==2.0.1
flatbuffers==1.12
folium==0.12.1
fsspec==2021.6.1
funcy==1.16
fury==0.7.0
future @ file:///home/conda/feedstock_root/build_artifacts/future_1610147336439/work
fuzzywuzzy==0.18.0
gast==0.3.3
gatspy==0.3
gcsfs @ file:///home/conda/feedstock_root/build_artifacts/gcsfs_1623161271836/work
GDAL==3.2.1
gensim==4.0.1
geographiclib==1.52
Geohash==1.0
geojson==2.5.0
geopandas @ file:///home/conda/feedstock_root/build_artifacts/geopandas_1623249625470/work
geoplot==0.4.3
geopy==2.1.0
geoviews==1.9.1
ggplot @ https://github.com/hbasria/ggpy/archive/0.11.5.zip
gitdb @ file:///home/conda/feedstock_root/build_artifacts/gitdb_1616781027402/work
GitPython @ file:///home/conda/feedstock_root/build_artifacts/gitpython_1623994295351/work
gluoncv==0.10.3
gluonnlp==0.10.0
google-api-core @ file:///home/conda/feedstock_root/build_artifacts/google-api-core-split_1623889342596/work
google-api-python-client==1.8.0
google-auth @ file:///home/conda/feedstock_root/build_artifacts/google-auth_1623897959686/work
google-auth-httplib2 @ file:///home/conda/feedstock_root/build_artifacts/google-auth-httplib2_1617387471894/work
google-auth-oauthlib @ file:///home/conda/feedstock_root/build_artifacts/google-auth-oauthlib_1618925959946/work
google-cloud-aiplatform @ git+https://github.com/googleapis/python-aiplatform.git@4ed7a50fef58d694ddb29d4240965d44e383da2b
google-cloud-appengine-logging==0.1.1
google-cloud-audit-log==0.1.0
google-cloud-automl==1.0.1
google-cloud-bigquery==2.2.0
google-cloud-bigtable==2.2.0
google-cloud-core==1.7.0
google-cloud-dataproc==2.4.0
google-cloud-datastore==2.1.3
google-cloud-firestore==2.1.3
google-cloud-kms==2.3.0
google-cloud-language==2.1.0
google-cloud-logging==2.5.0
google-cloud-monitoring==2.3.0
google-cloud-pubsub==1.7.0
google-cloud-scheduler==2.2.0
google-cloud-spanner==3.5.0
google-cloud-speech==2.4.0
google-cloud-storage==1.38.0
google-cloud-tasks==2.3.0
google-cloud-translate==3.2.0
google-cloud-videointelligence==2.2.0
google-cloud-vision==2.3.2
google-crc32c==1.1.2
google-pasta==0.2.0
google-resumable-media==1.3.1
googleapis-common-protos @ file:///home/conda/feedstock_root/build_artifacts/googleapis-common-protos-feedstock_1616710767141/work
gplearn==0.4.1
gpustat==0.6.0
gpxpy==1.4.2
graphviz==0.8.4
greenlet @ file:///home/conda/feedstock_root/build_artifacts/greenlet_1620327499468/work
grpc-google-iam-v1==0.12.3
grpcio==1.32.0
grpcio-gcp @ file:///home/conda/feedstock_root/build_artifacts/grpcio-gcp_1604414757985/work
gym==0.18.3
h2o==3.32.1.3
h5py==2.10.0
haversine==2.3.1
HeapDict==1.0.1
hep-ml==0.6.2
hijri-converter==2.1.3
hiredis==2.0.0
hmmlearn==0.2.5
holidays==0.11.1
holoviews==1.14.4
hpsklearn==0.1.0
html5lib==1.1
htmlmin==0.1.12
httplib2 @ file:///home/conda/feedstock_root/build_artifacts/httplib2_1617134439639/work
httplib2shim==0.0.3
huggingface-hub==0.0.8
humanize==3.10.0
hunspell==0.5.5
husl==4.0.3
hyperlink==21.0.0
hyperopt==0.2.5
hypertools==0.7.0
hypothesis==6.14.1
ibis-framework==1.4.0
idna @ file:///tmp/build/80754af9/idna_1593446292537/work
imagecodecs==2021.6.8
ImageHash @ file:///home/conda/feedstock_root/build_artifacts/imagehash_1605809872811/work
imageio==2.9.0
imbalanced-learn==0.8.0
imgaug==0.4.0
implicit==0.4.4
importlib-metadata==3.4.0
incremental==21.3.0
iniconfig==1.1.1
ipykernel @ file:///home/conda/feedstock_root/build_artifacts/ipykernel_1620912939357/work/dist/ipykernel-5.5.5-py3-none-any.whl
ipympl==0.7.0
ipython @ file:///home/conda/feedstock_root/build_artifacts/ipython_1622679237324/work
ipython-genutils==0.2.0
ipython-sql @ file:///home/conda/feedstock_root/build_artifacts/ipython-sql_1602667927030/work
ipywidgets @ file:///home/conda/feedstock_root/build_artifacts/ipywidgets_1609995587151/work
iso-639==0.4.5
iso3166==1.0.1
isoweek==1.3.3
itsdangerous==2.0.1
Janome==0.4.1
jaraco.classes==3.2.1
jaraco.collections==3.3.0
jaraco.functools==3.3.0
jaraco.text==3.5.0
jax==0.2.12
jaxlib==0.1.64
jedi @ file:///home/conda/feedstock_root/build_artifacts/jedi_1610146791823/work
jieba==0.42.1
Jinja2 @ file:///home/conda/feedstock_root/build_artifacts/jinja2_1621419064915/work
jinja2-time==0.2.0
jmespath==0.10.0
joblib @ file:///home/conda/feedstock_root/build_artifacts/joblib_1612898609989/work
json5 @ file:///home/conda/feedstock_root/build_artifacts/json5_1600692310011/work
jsonnet==0.17.0
jsonschema @ file:///home/conda/feedstock_root/build_artifacts/jsonschema_1614815863336/work
jupyter==1.0.0
jupyter-client @ file:///home/conda/feedstock_root/build_artifacts/jupyter_client_1615693636836/work
jupyter-console==6.4.0
jupyter-core @ file:///home/conda/feedstock_root/build_artifacts/jupyter_core_1612125257337/work
jupyter-http-over-ws==0.0.8
jupyter-server @ file:///home/conda/feedstock_root/build_artifacts/jupyter_server_1621649383518/work
jupyter-server-mathjax @ file:///home/conda/feedstock_root/build_artifacts/jupyter-server-mathjax_1622646097887/work
jupyterlab==1.2.16
jupyterlab-git @ file:///home/conda/feedstock_root/build_artifacts/jupyterlab-git_1598805204722/work
jupyterlab-pygments @ file:///home/conda/feedstock_root/build_artifacts/jupyterlab_pygments_1601375948261/work
jupyterlab-server @ file:///home/conda/feedstock_root/build_artifacts/jupyterlab_server_1593951277307/work
jupyterlab-widgets @ file:///home/conda/feedstock_root/build_artifacts/jupyterlab_widgets_1609173350931/work
kaggle==1.5.12
kaggle-environments==1.7.11
Keras==2.4.3
Keras-Preprocessing==1.1.2
keras-tuner==1.0.3
kiwisolver @ file:///home/conda/feedstock_root/build_artifacts/kiwisolver_1610099773791/work
kmapper==2.0.1
kmodes==0.11.0
knnimpute==0.1.0
korean-lunar-calendar==0.2.1
kornia==0.5.5
kt-legacy==1.0.3
kubernetes @ file:///home/conda/feedstock_root/build_artifacts/python-kubernetes_1620952647333/work
langid==1.1.6
learntools @ git+https://github.com/Kaggle/learntools@68d31a9916e8ecbf6ff8637611ac7c20859672bd
leven==1.0.4
libcst==0.3.19
librosa==0.8.1
lightfm==1.16
lightgbm==3.2.1
lime==0.2.0.1
line-profiler==3.3.0
llvmlite==0.36.0
lmdb==1.2.1
lml==0.1.0
locket==0.2.1
LunarCalendar==0.0.9
lxml==4.6.3
Mako==1.1.4
mapclassify @ file:///home/conda/feedstock_root/build_artifacts/mapclassify_1608686039411/work
marisa-trie==0.7.5
Markdown @ file:///home/conda/feedstock_root/build_artifacts/markdown_1614595805172/work
markovify==0.9.0
MarkupSafe @ file:///home/conda/feedstock_root/build_artifacts/markupsafe_1621455667184/work
matplotlib==3.4.2
matplotlib-inline @ file:///home/conda/feedstock_root/build_artifacts/matplotlib-inline_1618935594181/work
matplotlib-venn==0.11.6
matrixprofile==1.1.10
mccabe==0.6.1
memory-profiler==0.58.0
mercantile==1.2.1
missingno==0.4.2
mistune @ file:///home/conda/feedstock_root/build_artifacts/mistune_1610112870915/work
mizani==0.7.3
ml-metrics==0.1.4
mlcrate==0.2.0
mlens==0.2.3
mlxtend==0.18.0
mmh3==3.0.0
mne==0.23.0
mnist==0.2.2
mock==4.0.3
more-itertools==8.8.0
mpld3==0.5.5
mpmath==1.2.1
msgpack==1.0.2
msgpack-numpy==0.4.7.1
multidict @ file:///home/conda/feedstock_root/build_artifacts/multidict_1610319002430/work
multimethod @ file:///home/conda/feedstock_root/build_artifacts/multimethod_1603129052241/work
multipledispatch==0.6.0
multiprocess==0.70.12.2
munch==2.5.0
murmurhash==1.0.5
mxnet==1.8.0.post0
mypy-extensions @ file:///home/conda/feedstock_root/build_artifacts/mypy_extensions_1610127163566/work
nb-conda @ file:///home/conda/feedstock_root/build_artifacts/nb_conda_1611345550379/work
nb-conda-kernels @ file:///home/conda/feedstock_root/build_artifacts/nb_conda_kernels_1606762466752/work
nbclient @ file:///home/conda/feedstock_root/build_artifacts/nbclient_1614336084111/work
nbconvert @ file:///home/conda/feedstock_root/build_artifacts/nbconvert_1605401831777/work
nbdime @ file:///home/conda/feedstock_root/build_artifacts/nbdime_1621970816386/work
nbformat @ file:///home/conda/feedstock_root/build_artifacts/nbformat_1617383142101/work
nest-asyncio @ file:///home/conda/feedstock_root/build_artifacts/nest-asyncio_1617163391303/work
netCDF4==1.5.7
networkx @ file:///home/conda/feedstock_root/build_artifacts/networkx_1598210780226/work
nibabel==3.2.1
nilearn==0.8.0
nltk==3.2.4
nnabla==1.20.1
nose==1.3.7
notebook @ file:///home/conda/feedstock_root/build_artifacts/notebook_1621259862661/work
notebook-executor @ file:///opt/conda/conda-bld/dlenv-base_1624064777121/work/packages/notebook_executor
numba @ file:///home/conda/feedstock_root/build_artifacts/numba_1623568548143/work
numexpr==2.7.3
numpy==1.19.5
nvidia-ml-py3==7.352.0
oauth2client==4.1.3
oauthlib @ file:///home/conda/feedstock_root/build_artifacts/oauthlib_1622563202229/work
odfpy==1.4.1
olefile @ file:///home/conda/feedstock_root/build_artifacts/olefile_1602866521163/work
onnx==1.8.1
opencensus==0.7.13
opencensus-context==0.1.2
opencv-python==4.5.2.54
opencv-python-headless==4.5.2.54
openslide-python==1.1.2
opt-einsum==3.3.0
optuna==2.8.0
orderedmultidict==1.0.1
ortools==9.0.9048
osmnx==1.1.1
osqp==0.6.2.post0
overrides==3.1.0
packaging @ file:///home/conda/feedstock_root/build_artifacts/packaging_1612459636436/work
palettable==3.3.0
pandarallel==1.5.2
pandas==1.2.4
pandas-datareader==0.9.0
pandas-profiling @ file:///home/conda/feedstock_root/build_artifacts/pandas-profiling_1620781969337/work
pandas-summary==0.0.7
pandasql==0.7.3
pandocfilters==1.4.2
panel==0.11.3
papermill @ file:///home/conda/feedstock_root/build_artifacts/papermill_1615479738199/work
param==1.11.1
parso @ file:///home/conda/feedstock_root/build_artifacts/parso_1617148930513/work
partd==1.2.0
path==16.0.0
path.py==12.5.0
pathos==0.2.8
pathspec @ file:///home/conda/feedstock_root/build_artifacts/pathspec_1605120834673/work
pathtools==0.1.2
patsy==0.5.1
patternfork-nosql==3.6
pbr==5.6.0
pdf2image==1.16.0
pdfminer.six==20201018
PDPbox @ git+https://github.com/SauceCat/PDPbox@b022a0aabcc6dbe2440244bf48d08fbb6ecdaf2d
pexpect @ file:///home/conda/feedstock_root/build_artifacts/pexpect_1602535608087/work
phik @ file:///home/conda/feedstock_root/build_artifacts/phik_1615724006677/work
pickleshare @ file:///home/conda/feedstock_root/build_artifacts/pickleshare_1602536217715/work
Pillow @ file:///home/conda/feedstock_root/build_artifacts/pillow_1621287993571/work
plac==1.1.3
plotly==5.1.0
plotly-express==0.4.1
plotnine==0.8.0
pluggy==0.13.1
polyglot==16.7.4
pooch==1.4.0
portalocker==2.3.0
portend==2.7.1
pox==0.3.0
poyo==0.5.0
ppca==0.0.4
ppft==1.6.6.4
preprocessing==0.1.13
preshed==3.0.5
prettytable @ file:///home/conda/feedstock_root/build_artifacts/prettytable_1614725168556/work
prometheus-client @ file:///home/conda/feedstock_root/build_artifacts/prometheus_client_1622586138406/work
promise==2.3
prompt-toolkit @ file:///home/conda/feedstock_root/build_artifacts/prompt-toolkit_1623977816122/work
pronouncing==0.2.0
proto-plus==1.18.1
protobuf==3.17.3
psutil==5.8.0
ptyprocess @ file:///home/conda/feedstock_root/build_artifacts/ptyprocess_1609419310487/work/dist/ptyprocess-0.7.0-py2.py3-none-any.whl
pudb==2021.1
py==1.10.0
py-lz4framed==0.14.0
py-spy==0.3.7
py-stringmatching==0.4.2
py-stringsimjoin==0.3.2
pyaml==20.4.0
PyArabic==0.6.11
pyarrow==4.0.0
pyasn1==0.4.8
pyasn1-modules==0.2.7
PyAstronomy==0.16.0
pybind11==2.6.2
pycodestyle==2.7.0
pycosat @ file:///home/conda/feedstock_root/build_artifacts/pycosat_1610094791171/work
pycountry==20.7.3
pycparser @ file:///tmp/build/80754af9/pycparser_1594388511720/work
pycrypto==2.6.1
pyct==0.4.8
pydantic @ file:///home/conda/feedstock_root/build_artifacts/pydantic_1620819958857/work
pydash==5.0.1
pydegensac==0.1.2
pyDeprecate==0.3.0
pydicom==2.1.2
pydot==1.4.2
pydub==0.25.1
pyemd==0.5.1
pyexcel-io==0.6.4
pyexcel-ods==0.6.0
pyfasttext==0.4.6
pyflakes==2.3.1
pyforest==1.1.0
pyglet==1.5.15
Pygments @ file:///home/conda/feedstock_root/build_artifacts/pygments_1620245170812/work
PyJWT @ file:///home/conda/feedstock_root/build_artifacts/pyjwt_1619620644068/work
pykalman==0.9.5
pyLDAvis==3.3.1
pymc3==3.11.2
PyMeeus==0.5.11
pymongo==3.11.4
Pympler==0.9
pynndescent==0.5.3
pyocr==0.8
pyOpenSSL @ file:///home/conda/feedstock_root/build_artifacts/pyopenssl_1608055815057/work
pyparsing==2.4.7
pyPdf==1.13
pyperclip==1.8.2
PyPrind==2.11.3
pyproj @ file:///home/conda/feedstock_root/build_artifacts/pyproj_1602664259410/work
PyQt5==5.12.3
PyQt5-sip==4.19.18
PyQtChart==5.12
PyQtWebEngine==5.12.1
pyrsistent @ file:///home/conda/feedstock_root/build_artifacts/pyrsistent_1610146801408/work
pysal==2.1.0
pyshp @ file:///home/conda/feedstock_root/build_artifacts/pyshp_1610646860606/work
PySocks @ file:///home/conda/feedstock_root/build_artifacts/pysocks_1610291444829/work
pystan==2.19.1.1
pytesseract==0.3.8
pytest==6.2.4
pytext-nlp==0.1.2
python-bidi==0.4.2
python-dateutil==2.8.1
python-docx==0.8.11
python-editor==1.0.4
python-igraph @ file:///home/conda/feedstock_root/build_artifacts/python-igraph_1625223698267/work
python-Levenshtein==0.12.2
python-louvain==0.15
python-slugify @ file:///home/conda/feedstock_root/build_artifacts/python-slugify_1620267765676/work
pytorch-ignite==0.4.5
pytorch-lightning==1.3.8
pytz @ file:///home/conda/feedstock_root/build_artifacts/pytz_1612179539967/work
pyu2f @ file:///home/conda/feedstock_root/build_artifacts/pyu2f_1604248910016/work
PyUpSet==0.1.1.post7
pyviz-comms==2.1.0
PyWavelets @ file:///home/conda/feedstock_root/build_artifacts/pywavelets_1607290802651/work
PyYAML==5.4.1
pyzmq @ file:///home/conda/feedstock_root/build_artifacts/pyzmq_1622038448462/work
qdldl==0.1.5.post0
qgrid==1.3.1
qtconsole==5.1.1
QtPy==1.9.0
randomgen==1.16.6
rasterio==1.2.6
ray==1.4.1
redis==3.5.3
regex @ file:///home/conda/feedstock_root/build_artifacts/regex_1617644420360/work
requests @ file:///home/conda/feedstock_root/build_artifacts/requests_1608156231189/work
requests-oauthlib @ file:///home/conda/feedstock_root/build_artifacts/requests-oauthlib_1595492159598/work
resampy==0.2.2
retrying==1.3.3
rgf-python==3.10.0
rsa @ file:///home/conda/feedstock_root/build_artifacts/rsa_1614171254180/work
Rtree @ file:///home/conda/feedstock_root/build_artifacts/rtree_1610147121172/work
ruamel-yaml-conda @ file:///home/conda/feedstock_root/build_artifacts/ruamel_yaml_1611943443937/work
s2sphere==0.2.5
s3fs==2021.6.1
s3transfer==0.4.2
sacremoses==0.0.45
scattertext==0.1.3
scikit-image==0.18.2
scikit-learn==0.23.2
scikit-multilearn==0.2.0
scikit-optimize==0.8.1
scikit-plot==0.3.7
scikit-surprise==1.1.1
scipy @ file:///home/conda/feedstock_root/build_artifacts/scipy_1619561915310/work
scs==2.1.4
seaborn @ file:///home/conda/feedstock_root/build_artifacts/seaborn-split_1611834504644/work
semver==2.13.0
Send2Trash==1.5.0
sentencepiece==0.1.96
sentry-sdk==1.2.0
setuptools-git==1.2
sgmllib3k==1.0.0
shap==0.39.0
Shapely @ file:///home/conda/feedstock_root/build_artifacts/shapely_1611317083224/work
shortuuid==1.0.1
SimpleITK==2.0.2
simplejson @ file:///home/conda/feedstock_root/build_artifacts/simplejson_1610147090454/work
six==1.15.0
sklearn==0.0
sklearn-contrib-py-earth @ git+git://github.com/scikit-learn-contrib/py-earth.git@dde5f899255411a7b9cbbabf93a817eff4b02e5e
sklearn-pandas==2.2.0
slicer==0.0.7
smart-open==5.1.0
smhasher==0.150.1
smmap @ file:///home/conda/feedstock_root/build_artifacts/smmap_1611376390914/work
sniffio @ file:///home/conda/feedstock_root/build_artifacts/sniffio_1610318316464/work
snuggs==1.4.7
sortedcontainers==2.4.0
SoundFile==0.10.3.post1
soupsieve==2.2.1
spacy==2.3.7
spectral==0.22.2
sphinx-rtd-theme==0.2.4
SQLAlchemy @ file:///home/conda/feedstock_root/build_artifacts/sqlalchemy_1623353958511/work
sqlparse @ file:///home/conda/feedstock_root/build_artifacts/sqlparse_1602142927465/work
squarify==0.4.3
srsly==1.0.5
statsmodels @ file:///home/conda/feedstock_root/build_artifacts/statsmodels_1612273600586/work
stemming==1.0.1
stevedore==3.3.0
stop-words==2018.7.23
stopit==1.1.2
stumpy==1.8.0
subprocess32==3.5.4
sympy==1.8
tables==3.6.1
tabulate==0.8.9
tangled-up-in-unicode @ file:///home/conda/feedstock_root/build_artifacts/tangled-up-in-unicode_1620720635379/work
tblib==1.7.0
tempora==4.1.1
tenacity @ file:///home/conda/feedstock_root/build_artifacts/tenacity_1614801055552/work
tensorboard==2.4.1
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.0
tensorboardX==2.2
tensorflow==2.4.1
tensorflow-addons==0.12.1
tensorflow-cloud==0.1.13
tensorflow-datasets==3.0.0
tensorflow-estimator==2.4.0
tensorflow-gcs-config==2.4.0
tensorflow-hub==0.12.0
tensorflow-metadata==1.1.0
tensorflow-probability==0.13.0
tensorpack==0.11
termcolor==1.1.0
terminado @ file:///home/conda/feedstock_root/build_artifacts/terminado_1623365324314/work
testpath @ file:///home/conda/feedstock_root/build_artifacts/testpath_1621261527237/work
text-unidecode==1.3
textblob==0.15.3
texttable @ file:///home/conda/feedstock_root/build_artifacts/texttable_1599404337529/work
textwrap3==0.9.2
Theano==1.0.5
Theano-PyMC==1.1.2
thinc==7.4.5
threadpoolctl @ file:///tmp/tmp79xdzxkt/threadpoolctl-2.1.0-py3-none-any.whl
tifffile==2021.7.2
tokenizers==0.10.3
toml @ file:///home/conda/feedstock_root/build_artifacts/toml_1604308577558/work
toolz==0.11.1
torch==1.7.0
torchaudio==0.7.0a0+ac17b64
torchmetrics==0.4.1
torchtext==0.8.0a0+cd6902d
torchvision==0.8.1
tornado @ file:///home/conda/feedstock_root/build_artifacts/tornado_1610094704591/work
TPOT==0.11.7
tqdm @ file:///home/conda/feedstock_root/build_artifacts/tqdm_1623518955413/work
traitlets @ file:///home/conda/feedstock_root/build_artifacts/traitlets_1602771532708/work
traittypes==0.2.1
transformers==4.6.1
trueskill==0.4.5
tsfresh==0.18.0
Twisted==21.2.0
txaio==21.2.1
typed-ast @ file:///home/conda/feedstock_root/build_artifacts/typed-ast_1618337592858/work
typeguard==2.12.1
typing-extensions==3.7.4.3
typing-inspect==0.7.1
tzlocal==2.1
ujson @ file:///home/conda/feedstock_root/build_artifacts/ujson_1611250187793/work
umap-learn==0.5.1
Unidecode @ file:///home/conda/feedstock_root/build_artifacts/unidecode_1612533191922/work
update-checker==0.18.0
uritemplate==3.0.1
urllib3 @ file:///home/conda/feedstock_root/build_artifacts/urllib3_1622056799390/work
urwid==2.1.2
vecstack==0.4.0
visions @ file:///home/conda/feedstock_root/build_artifacts/visions_1612743227238/work
vowpalwabbit==8.10.2
vtk==9.0.3
Wand==0.6.6
wandb==0.10.33
wasabi==0.8.2
wavio==0.0.4
wcwidth @ file:///home/conda/feedstock_root/build_artifacts/wcwidth_1600965781394/work
webencodings==0.5.1
websocket-client @ file:///home/conda/feedstock_root/build_artifacts/websocket-client_1610127652206/work
Werkzeug==2.0.1
wfdb==3.4.0
whichcraft==0.6.1
widgetsnbextension @ file:///home/conda/feedstock_root/build_artifacts/widgetsnbextension_1605475530234/work
Wordbatch==1.4.8
wordcloud==1.8.1
wordsegment==1.3.1
wrapt @ file:///home/conda/feedstock_root/build_artifacts/wrapt_1610094880759/work
wslink==0.2.0
xarray==0.18.2
xgboost==1.4.2
xvfbwrapper==0.2.9
yacs==0.1.8
yarl @ file:///home/conda/feedstock_root/build_artifacts/yarl_1610354142409/work
yellowbrick==1.3.post1
zc.lockfile==2.0
zict==2.0.0
zipp @ file:///home/conda/feedstock_root/build_artifacts/zipp_1614945704755/work
zope.interface==5.4.0

Description of Issue

What did you expect to happen?
Imports work but are not inserted in the first cell
What happened instead?
No visibility that something was imported

Reproduction Steps

create new kaggle notebook
install pyforest with !pip install upgrade pyforest
restart notebook
run np.sum([1, 2, 3])

What steps have you taken to resolve this already?

searched github issues, there is one closed by i still get the same issue
#31

Anything else?

Thank you for your help!

When i am running for instance pd.read_csv i have no issue but this doesnt add import pandas as pd at the top. Also when i tried to run python -m pyforest install_extensions i get the error /usr/bin/python no package named pyforest

Pyforest doesn't show import lines in VSCode

Environment

Operating System: Windows 10 Home
Python Version: Python 3.8.5
How did you install pyforest: pip install

Description of Issue

What did you expect to happen?
Pyforest includes import lines of packages in the first cell.
What happened instead?
Pyforest imports the packages and they work fine, however the imports are not included in the first cell. Hence code completions and hinting don't work for the imported packages since Pylance (language server)/Intellisense don't detect the import.

Reproduction Steps

Install VSCode Insiders and Pyforest.
Open a Jupyter Notebook and start writing code without import.

Seed all imported libraries

Description of Issue

This is a enhancement request, can we include functionality to seed all the libraries? I had wanted to create something similar to this library, and would like to have this added functionality. It'd be great if I can work on this if this is allowed.

Custom families

This is the other half of #19. It would be nice to be able to make custom families as part of pyforest. For example:

from pyforest import * # All general purpose libraries (as it is now)
from pyforest.hep import * # High Energy Physics specific libraries
from pyforest.ml import * # Machine learning specific libraries
from pyforest.bio import * # Biopython (etc)

# optional
from pyforest.all import * # Import all groups and general libraries too

If this is doable and a good idea, I can help contribute hep's imports, maybe ml too. :)

Custom families / local files

It would be nice to have a way to list files in a user's home directory, say in ~/.config/pyforest/, as well add domain specific modules that could be loaded. I'm interested in setting up the HEP (high energy physics) imports, but some of them are not of general interest.

Empty lines in the output when using LazyImport

Environment

Operating System: Linux
Python Version: 3.10
How did you install pyforest: pip install pyforest

Description of Issue

What did you expect to happen?
Lazy loading of a library should not produce blank lines in the output.
What happened instead?
A line break occurs when executing an instruction that must load the referenced library.

Reproduction Steps

Run code

from pyforest import LazyImport

pd = LazyImport("import pandas as pd")

def prueba(df: pd.DataFrame) -> None:
    pass

What steps have you taken to resolve this already?

I think the problem is in this code block of _importable.py
If statements arrives empty, it will print the "\n".

Anything else?

A possible solution would be not to call the display function if there are no elements in statements.

  if len(statements) > 0:
        display(
            Javascript(
                """
            if (window._pyforest_update_imports_cell) {{ window._pyforest_update_imports_cell({!r}); }}
        """.format(
                    "\n".join(statements)
                )
            )
        )

auto-completion seems not work at all when using modules imported by pyforest in pycharm

Environment

Operating System: win 10
Python Version: $ python --version 3.7
How did you install pyforest: (pip, conda, or other (please explain))
pip
Python packages: $ pip freeze or $ conda list (please include pyforest)
absl-py==0.12.0
astunparse==1.6.3
backcall==0.2.0
cachetools==4.2.2
certifi==2020.12.5
chardet==4.0.0
colorama==0.4.4
decorator==5.0.7
flatbuffers==1.12
future==0.18.2
gast==0.3.3
google-auth==1.30.0
google-auth-oauthlib==0.4.4
google-pasta==0.2.0
grpcio==1.32.0
h5py==2.10.0
idna==2.10
importlib-metadata==4.0.1
ipython==7.23.1
ipython-genutils==0.2.0
jedi==0.18.0
joblib==1.0.1
Keras-Preprocessing==1.1.2
keras-tuner==1.0.2
Markdown==3.3.4
matplotlib-inline==0.1.2
numpy==1.19.5
oauthlib==3.1.0
opt-einsum==3.3.0
packaging==20.9
pandas==1.2.4
parso==0.8.2
pexpect==4.8.0
pickleshare==0.7.5
prompt-toolkit==3.0.18
protobuf==3.16.0
ptyprocess==0.7.0
pyasn1==0.4.8
pyasn1-modules==0.2.8
pyforest==1.0.3
Pygments==2.9.0
pyparsing==2.4.7
python-dateutil==2.8.1
pytz==2021.1
requests==2.25.1
requests-oauthlib==1.3.0
rsa==4.7.2
scikit-learn==0.24.2
scipy==1.6.3
six==1.15.0
tabulate==0.8.9
tensorboard==2.5.0
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.0
tensorflow-estimator==2.4.0
tensorflow-gpu==2.4.1
termcolor==1.1.0
terminaltables==3.1.0
threadpoolctl==2.1.0
tqdm==4.60.0
traitlets==5.0.5
typing-extensions==3.7.4.3
urllib3==1.26.4
wcwidth==0.2.5
Werkzeug==1.0.1
wrapt==1.12.1
zipp==3.4.1

Description of Issue

when coding in pycharm, i use pyforest to import all libs like pandas,numpy etc.But auto-completion seems not work at all in pycharm. Somebody knows why and how to do?

Does not install on Python 3.5

Environment

Operating System:
Python Version: Python 3.5.5
How did you install pyforest: pip install pyforest
Python packages: This is a clean env

Description of Issue

setup.cfg just mentions Python as a requirement, but with no specific version requirements, so I (and pip) expected to be able to install it on any currently supported Python version. Python 3.5 is still actively supported.

This project contains f-strings which were introduced in Python 3.6, so I get this stack trace when I try to install:

    Traceback (most recent call last):
      File "<string>", line 1, in <module>
      File "/tmp/pip-install-lxgsgu9_/pyforest/setup.py", line 10, in <module>
        from src.pyforest.auto_import import setup as setup_auto_import
      File "/tmp/pip-install-lxgsgu9_/pyforest/src/pyforest/__init__.py", line 2, in <module>
        from ._imports import *
      File "/tmp/pip-install-lxgsgu9_/pyforest/src/pyforest/_imports.py", line 1, in <module>
        from ._importable import LazyImport, _import_statements
      File "/tmp/pip-install-lxgsgu9_/pyforest/src/pyforest/_importable.py", line 39
        return eval(f"dir({self.__imported_name__})")
                                                   ^
    SyntaxError: invalid syntax

It missed a commonly-used package "random"

I made a pull request from my repository, please check if it meets your standard. See this pull request

Add TextBlob to NLP

name: ✨ Feature Request
about: Add TextBlob to NLP Imports

What feature should be added?

Text Blob is a simple text processing library that helps in NLP tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more.

Why should this feature be added?

Features

Noun phrase extraction
Part-of-speech tagging
Sentiment analysis
Classification (Naive Bayes, Decision Tree)
Language translation and detection powered by Google Translate
Tokenization (splitting text into words and sentences)
Word and phrase frequencies
Parsing
n-grams
Word inflection (pluralization and singularization) and lemmatization
Spelling correction
Add new models or languages through extensions
WordNet integration

Source : TextBlob

adding mailbox package

Environment

Operating System:
Python Version: $ python --version
How did you install pyforest: pi[ (pip, conda, or other (please explain))
Python packages: $ pip freeze or $ conda list (please include pyforest)

Description of Issue

I guess the mailbox library is not imported in pyforest. So, I have raised an issue to add this package.
"import mailbox"

on_import add explicit import statement to first Jupyter cell

In order to remove the possibility that we can forget to copy the explicit import statements to the top of the notebook, it would be great if the explicit import statement (e.g. "import pandas as pd") is added to the first Jupyter cell on_import.

Implementation thoughts:

in Jupyter Notebook we can simply display() a Javascript snippet which does this action once on_import
for Jupyter Lab we need to write a custom extension which is triggered on_import

Adding t-SNE from sklearn.manifold

Description of Issue

I wanted to add t-SNE from sklearn.manifold. Please let me know this is valid and i will create a pull request. I can add more classification and regression algorithms like Random Forest and XGboost but wanted to know if they are required in something like "from pyforest import classifiers (this contains all classifiers)" or something like "from pyforest import randomforest" or this will be included in "from sklearn import * "
...

No module named 'src.pyforest' (Installation failure)

Environment

Operating System:
Python Version: 3.6.7
Pip version: 19.1.1
How did you install pyforest: pip install pyforest
Python packages:
req.txt

Description of Issue

What did you expect to happen?
Installation of pyforest
What happened instead?

ERROR: Complete output from command python setup.py egg_info:
ERROR: Traceback (most recent call last):
    File "<string>", line 1, in <module>
    File "C:\Users\LUCASM~1\AppData\Local\Temp\pip-install-ibv5qzhr\pyforest\setup.py", line 10, in <module> from src.pyforest.auto_import import setup as setup_auto_import
    ModuleNotFoundError: No module named 'src.pyforest'

Reproduction Steps

pip install pyforest

What steps have you taken to resolve this already?

Nothing

Anything else?

In my second computer (python 3.7.3 and pip 19.0.3) the install did work.

Undefined names: pd, sns, active_imports in demo.py

flake8 testing of https://github.com/8080labs/pyforest on Python 3.7.1

$ flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics

./examples/demo.py:5:6: F821 undefined name 'pd'
df = pd.read_csv("titanic.csv")
     ^
./examples/demo.py:8:1: F821 undefined name 'sns'
sns.distplot(df.Age)
^
./examples/demo.py:11:1: F821 undefined name 'active_imports'
active_imports()
^
3     F821 undefined name 'pd'
3

How can I use it in .py file?

Should I just put import pyforest in a .py file to make it work? In this case nothing is happening

After using pyforest the console keep output "<IPython.core.display.Javascript object>"

pyforest keep output <IPython.core.display.Javascript object>

Operating System:
win 10
Python Version: $ python --version
3.7.4, anaconda
How did you install pyforest: (pip, conda, or other (please explain))
pip
Python packages: $ pip freeze or $ conda list (please include pyforest)
packages.txt

Description of Issue

my User import file

# Add your imports here, line by line
# e.g

import datetime
from aip import AipOcr
from aip import AipSpeech
import pandas as pd
from pathlib import Path
import re
import math
import lizhelib
import wave
import struct
import pyaudio
from PIL import Image
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtCore import QEvent, Qt, pyqtSlot
from PyQt5.QtGui import QIcon
from PyQt5.QtWidgets import QApplication, QWidget, QHBoxLayout, QLineEdit, QLabel
from PyQt5.QtWidgets import QMainWindow, QApplication, QWidget, QPushButton, QAction, QLineEdit, QMessageBox
from colour import Color

import speech_recognition as sr
from fuzzyfinder import fuzzyfinder
from io import BytesIO
import lizhelib.win_operation
from lxml import html
from os import path
from scrapy import Selector

from scrapy.cmdline import execute
from selenium import webdriver
import PySimpleGUI as sg
import futures
import glob
import importlib
import inspect
import json
import os
import pandas as pd
import pyautogui
import random
import re
import requests
import scrapy
import shutil
import subprocess
import sys
import tempfile
import threading
import time
import win32clipboard
import wptools
import zipfile

Keep print IPython,

Even I make a simple script like this still get the error.

Reproduction Steps

Write some simple code.
Import pyforest
then Keep print Ipython
...

What steps have you taken to resolve this already?

I try to delete some package in the user import file. I just leave 1 package in it which is time package

And my script is just like the code in the pic above Simple loop print, But the repeated IPython things print still happen.

How to solve it ?

Anything else?

...

trai_test_split import deprecated

pyforest/src/pyforest/_imports.py

Line 62 in 66fbb35

 train_test_split = LazyImport("from sklearn.cross_validation import train_test_split") 

the import is deprecared, it runs into the following warning:

DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes and functions are moved. Also note that the interface of the new CV iterators are different from that of this module. This module will be removed in 0.20. "This module will be removed in 0.20.", DeprecationWarning)

As per new Scikit structure, the new import is:
from sklearn.model_selection import train_test_split

It would be nice, if you could update it!

Many thanks!

Add pyforest info to error messages in order to minimize risk of user confusion

(Rare) Scenario:
user imported pyforest AND wants to use another alias which is not within pyforest BUT is masked by pyforest AND he did not import it. (Very rare scenario due to the many conditions. Also, we only mask conventions and there should be no confusion in the first place. However, the scenario might be confusing for the user and thus cost her some time to debug)

If then the call does not work, there should be an error message which makes clear on which module the call was tried. And maybe asking the user if he forgot to import a module which can provide this call?

Didn't succeed in installing pyforest

Environment

Operating System: ubuntu 18.04
Python Version: 3.9.0
How did you install pyforest: pip install --upgrade pyforest
Python packages: conda list:

Description of Issue

(try_1) razor@razor-GL502VSK:~/Projects/Exacter/exacter$ pip install --upgrade pyforest
Collecting pyforest
Using cached pyforest-1.0.3.tar.gz (14 kB)
ERROR: Command errored out with exit status 1:
command: /home/razor/anaconda3/envs/try_1/bin/python -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-install-u_llula5/pyforest_11acaa30b5264e968fae0ab3e6653f8f/setup.py'"'"'; file='"'"'/tmp/pip-install-u_llula5/pyforest_11acaa30b5264e968fae0ab3e6653f8f/setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(file) if os.path.exists(file) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, file, '"'"'exec'"'"'))' egg_info --egg-base /tmp/pip-pip-egg-info-ird11kvt
cwd: /tmp/pip-install-u_llula5/pyforest_11acaa30b5264e968fae0ab3e6653f8f/
Complete output (5 lines):
Traceback (most recent call last):
File "", line 1, in
File "/tmp/pip-install-u_llula5/pyforest_11acaa30b5264e968fae0ab3e6653f8f/setup.py", line 10, in
from src.pyforest.auto_import import setup as setup_auto_import
ModuleNotFoundError: No module named 'src.pyforest'
----------------------------------------
WARNING: Discarding https://files.pythonhosted.org/packages/8f/85/77a9d2d9ff240822039f3dfd7a3b374d0621a0df5feb5d270a2151f6bb6d/pyforest-1.0.3.tar.gz#sha256=0dda455a0f70dc3abdaeee934cc6026b2c8bef5228439095016a08649653d0c3 (from https://pypi.org/simple/pyforest/) (requires-python:>=3.6). Command errored out with exit status 1: python setup.py egg_info Check the logs for full command output.
Using cached pyforest-1.0.2.tar.gz (14 kB)
ERROR: Command errored out with exit status 1:
command: /home/razor/anaconda3/envs/try_1/bin/python -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-install-u_llula5/pyforest_7c816f4471294a14b2255ffef062a3b9/setup.py'"'"'; file='"'"'/tmp/pip-install-u_llula5/pyforest_7c816f4471294a14b2255ffef062a3b9/setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(file) if os.path.exists(file) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, file, '"'"'exec'"'"'))' egg_info --egg-base /tmp/pip-pip-egg-info-ygeqaz1b
cwd: /tmp/pip-install-u_llula5/pyforest_7c816f4471294a14b2255ffef062a3b9/
Complete output (5 lines):
Traceback (most recent call last):
File "", line 1, in
File "/tmp/pip-install-u_llula5/pyforest_7c816f4471294a14b2255ffef062a3b9/setup.py", line 10, in
from src.pyforest.auto_import import setup as setup_auto_import
ModuleNotFoundError: No module named 'src.pyforest'
----------------------------------------
WARNING: Discarding https://files.pythonhosted.org/packages/ac/c3/ae8976c2c281c69aef2a615e8e3e6ce8c0b401c55dd68c50911d0d532b3b/pyforest-1.0.2.tar.gz#sha256=d61633056fdff32f947fee852b28ae260961175f38447f066ba0c086e74fa332 (from https://pypi.org/simple/pyforest/) (requires-python:>=3.6). Command errored out with exit status 1: python setup.py egg_info Check the logs for full command output.
Using cached pyforest-1.0.1.tar.gz (13 kB)
ERROR: Command errored out with exit status 1:
command: /home/razor/anaconda3/envs/try_1/bin/python -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-install-u_llula5/pyforest_c891e6b18a7243a9a30b7a6dc81c9d81/setup.py'"'"'; file='"'"'/tmp/pip-install-u_llula5/pyforest_c891e6b18a7243a9a30b7a6dc81c9d81/setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(file) if os.path.exists(file) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, file, '"'"'exec'"'"'))' egg_info --egg-base /tmp/pip-pip-egg-info-cn5g2na4
cwd: /tmp/pip-install-u_llula5/pyforest_c891e6b18a7243a9a30b7a6dc81c9d81/
Complete output (5 lines):
Traceback (most recent call last):
File "", line 1, in
File "/tmp/pip-install-u_llula5/pyforest_c891e6b18a7243a9a30b7a6dc81c9d81/setup.py", line 10, in
from src.pyforest.auto_import import setup as setup_auto_import
ModuleNotFoundError: No module named 'src.pyforest'
----------------------------------------
WARNING: Discarding https://files.pythonhosted.org/packages/b6/25/0b49ebd345a7f57ef95e7199c46207b7f5b34e61d8c36c77197e35536f95/pyforest-1.0.1.tar.gz#sha256=cbf79626d94c523f202902bb7900f1cc659f09e87991e3df7777f96d073ad123 (from https://pypi.org/simple/pyforest/) (requires-python:>=3.6). Command errored out with exit status 1: python setup.py egg_info Check the logs for full command output.
Using cached pyforest-1.0.0.tar.gz (12 kB)
ERROR: Command errored out with exit status 1:
command: /home/razor/anaconda3/envs/try_1/bin/python -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-install-u_llula5/pyforest_181d5a12a22b44d087a26f857330338e/setup.py'"'"'; file='"'"'/tmp/pip-install-u_llula5/pyforest_181d5a12a22b44d087a26f857330338e/setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(file) if os.path.exists(file) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, file, '"'"'exec'"'"'))' egg_info --egg-base /tmp/pip-pip-egg-info-_7cxq_gh
cwd: /tmp/pip-install-u_llula5/pyforest_181d5a12a22b44d087a26f857330338e/
Complete output (5 lines):
Traceback (most recent call last):
File "", line 1, in
File "/tmp/pip-install-u_llula5/pyforest_181d5a12a22b44d087a26f857330338e/setup.py", line 10, in
from src.pyforest.auto_import import setup as setup_auto_import
ModuleNotFoundError: No module named 'src.pyforest'
----------------------------------------
WARNING: Discarding https://files.pythonhosted.org/packages/d4/6d/86e083e0510b56d1f458735d44cdf181383f2a1ed6c234db7b51e7807e13/pyforest-1.0.0.tar.gz#sha256=eb7703883225aa54cb4d963cb81f0f15c4525cea09dd8c9d441990eb325fd080 (from https://pypi.org/simple/pyforest/) (requires-python:>=3.6). Command errored out with exit status 1: python setup.py egg_info Check the logs for full command output.
Using cached pyforest-0.1.4.tar.gz (9.4 kB)
ERROR: Command errored out with exit status 1:
command: /home/razor/anaconda3/envs/try_1/bin/python -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-install-u_llula5/pyforest_ec37a82702064005be816e0a2acc7a0e/setup.py'"'"'; file='"'"'/tmp/pip-install-u_llula5/pyforest_ec37a82702064005be816e0a2acc7a0e/setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(file) if os.path.exists(file) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, file, '"'"'exec'"'"'))' egg_info --egg-base /tmp/pip-pip-egg-info-o2_8_5yw
cwd: /tmp/pip-install-u_llula5/pyforest_ec37a82702064005be816e0a2acc7a0e/
Complete output (5 lines):
Traceback (most recent call last):
File "", line 1, in
File "/tmp/pip-install-u_llula5/pyforest_ec37a82702064005be816e0a2acc7a0e/setup.py", line 10, in
from src.pyforest.auto_import import setup as setup_auto_import
ModuleNotFoundError: No module named 'src.pyforest'
----------------------------------------
WARNING: Discarding https://files.pythonhosted.org/packages/07/b7/c78623e4b215b0476f96038cfe75920eda1a9a216fed1e6105a7d9de5e47/pyforest-0.1.4.tar.gz#sha256=ed7db5d2f15b08141b816c961cd82b44769b345fcb8d51f167c91542a0af86c6 (from https://pypi.org/simple/pyforest/) (requires-python:>=3.6). Command errored out with exit status 1: python setup.py egg_info Check the logs for full command output.
Using cached pyforest-0.1.3.tar.gz (8.4 kB)
ERROR: Command errored out with exit status 1:
command: /home/razor/anaconda3/envs/try_1/bin/python -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-install-u_llula5/pyforest_7abc73ce4a2d4e68af1305a44183821b/setup.py'"'"'; file='"'"'/tmp/pip-install-u_llula5/pyforest_7abc73ce4a2d4e68af1305a44183821b/setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(file) if os.path.exists(file) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, file, '"'"'exec'"'"'))' egg_info --egg-base /tmp/pip-pip-egg-info-14llz_pa
cwd: /tmp/pip-install-u_llula5/pyforest_7abc73ce4a2d4e68af1305a44183821b/
Complete output (5 lines):
Traceback (most recent call last):
File "", line 1, in
File "/tmp/pip-install-u_llula5/pyforest_7abc73ce4a2d4e68af1305a44183821b/setup.py", line 10, in
from src.pyforest.auto_import import setup as setup_auto_import
ModuleNotFoundError: No module named 'src.pyforest'
----------------------------------------
WARNING: Discarding https://files.pythonhosted.org/packages/e5/be/7681d01d5a52ba17254edb362386d0e4fcbd00aec2700ede31fc006bd366/pyforest-0.1.3.tar.gz#sha256=9fa0b48bdddbb7bd0b42edf5d753b44a781202c1d58387b722407295814331ec (from https://pypi.org/simple/pyforest/) (requires-python:>=3.6). Command errored out with exit status 1: python setup.py egg_info Check the logs for full command output.
Using cached pyforest-0.1.1.tar.gz (3.4 MB)
ERROR: Command errored out with exit status 1:
command: /home/razor/anaconda3/envs/try_1/bin/python -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-install-u_llula5/pyforest_b428b46869ee426199b36ae2d47f4c3e/setup.py'"'"'; file='"'"'/tmp/pip-install-u_llula5/pyforest_b428b46869ee426199b36ae2d47f4c3e/setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(file) if os.path.exists(file) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, file, '"'"'exec'"'"'))' egg_info --egg-base /tmp/pip-pip-egg-info-0zd87uny
cwd: /tmp/pip-install-u_llula5/pyforest_b428b46869ee426199b36ae2d47f4c3e/
Complete output (5 lines):
Traceback (most recent call last):
File "", line 1, in
File "/tmp/pip-install-u_llula5/pyforest_b428b46869ee426199b36ae2d47f4c3e/setup.py", line 10, in
from src.pyforest.auto_import import setup as setup_auto_import
ModuleNotFoundError: No module named 'src.pyforest'
----------------------------------------
WARNING: Discarding https://files.pythonhosted.org/packages/ca/7a/2280448ba4202604eb3f9e23d9a4fd0ca1473d31aca0a90fdb5f31dd902c/pyforest-0.1.1.tar.gz#sha256=685c904461d192650519ffec8a81c2537b60b63726a8e2b363c2f6695c97337c (from https://pypi.org/simple/pyforest/). Command errored out with exit status 1: python setup.py egg_info Check the logs for full command output.
Using cached pyforest-0.0.2.tar.gz (3.4 MB)
ERROR: Command errored out with exit status 1:
command: /home/razor/anaconda3/envs/try_1/bin/python -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-install-u_llula5/pyforest_fc9503bb528b48f190d6ab001c782397/setup.py'"'"'; file='"'"'/tmp/pip-install-u_llula5/pyforest_fc9503bb528b48f190d6ab001c782397/setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(file) if os.path.exists(file) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, file, '"'"'exec'"'"'))' egg_info --egg-base /tmp/pip-pip-egg-info-g4h50u80
cwd: /tmp/pip-install-u_llula5/pyforest_fc9503bb528b48f190d6ab001c782397/
Complete output (5 lines):
Traceback (most recent call last):
File "", line 1, in
File "/tmp/pip-install-u_llula5/pyforest_fc9503bb528b48f190d6ab001c782397/setup.py", line 10, in
from src.pyforest.auto_import import setup as setup_auto_import
ModuleNotFoundError: No module named 'src.pyforest'
----------------------------------------
WARNING: Discarding https://files.pythonhosted.org/packages/e3/fb/af7ac4428a43cc114b1eb9c50ba608501bc99f538dbc56331bfd6f7bcaa9/pyforest-0.0.2.tar.gz#sha256=6cdf75e0e7f9760a2c964115038abbda298b1daeb749ff52249816cae37b20b5 (from https://pypi.org/simple/pyforest/). Command errored out with exit status 1: python setup.py egg_info Check the logs for full command output.
ERROR: Could not find a version that satisfies the requirement pyforest (from versions: 0.0.2, 0.1.1, 0.1.3, 0.1.4, 1.0.0, 1.0.1, 1.0.2, 1.0.3)
ERROR: No matching distribution found for pyforest

What did you expect to happen? Install pyforest
What happened instead? Didn't install

Reproduction Steps

1.pip install --upgrade pyforest
...

What steps have you taken to resolve this already?

Couldn't
...

Anything else?

...

Import modules that are not installed on the machine

When the user imports a library that is not installed, maybe help her to install the library.

TODO: spec how the user experience should be and how we can implement this technically

Help messages

I've noticed that the help messages are hidden for objects. Would it be possible, when loading an object, to copy the docstring in, as well? Since you are Python 3 only, you could even copy in the __signature__, I think.

In [1]: UnitRegistry()
Out[1]: <pint.registry.UnitRegistry at 0x1068a6d50>

In [2]: UnitRegistry?
Signature:   UnitRegistry(*args, **kwargs)
Type:        LazyImport
String form: active pyforest.LazyImport of <class 'pint.registry.UnitRegistry'>
File:        /usr/local/lib/python3.7/site-packages/pyforest/_importable.py
Docstring:   <no docstring>

Running Pyforest on Anaconda3 Jupyter

I am running Python 3.7.4, and Anaconda3.
I have installed pyforest using pip install pyforest

when i run from pyforest import * in my jupyter, i get this error:

ModuleNotFoundError Traceback (most recent call last)
in
----> 1 from pyforest import *

ModuleNotFoundError: No module named 'pyforest'

Also when i run pip freeze i also get this warning
~(master*) » pip3.7 freeze cyrusmuriithi@Cyruss-MacBook-Pro
WARNING: Could not generate requirement for distribution -forest 0.1.1 (/usr/local/lib/python3.7/site-packages): Parse error at "'-forest='": Expected W:(abcd...)
WARNING: Could not generate requirement for distribution -yforest 0.1.1 (/usr/local/lib/python3.7/site-packages): Parse error at "'-yforest'": Expected W:(abcd...)
WARNING: Could not generate requirement for distribution -.forest 0.1.1 (/usr/local/lib/python3.7/site-packages): Parse error at "'-.forest'": Expected W:(abcd...)
WARNING: Could not generate requirement for distribution - forest (/usr/local/lib/python3.7/site-packages): Parse error at "'-===fore'": Expected W:(abcd...)
pyforest==0.1.1

What could be the issue that i cannot run pyforest

Add pyforest to first CODE cell and not markdown or other

Currently, pyforest will add the import_statements to the first Jupyter cell. pyforest assumes that this cell is a code cell. However, it will currently also add the code if the cell is not a code cell.

It would be better, if pyforest searches for the first CODE cell.

This enables a situation where the user also has Markdown cells in the Notebook and he wants the first cell to be a Markdown cell (or similar).

Incompatible with dask in processes scheduler

from pyforest import *
import dask

def inc1(a):
    return a + 1

def inc2(a):
    return np.add(a, 1)

print(dask.compute(map(dask.delayed(inc1), [1,2,3]), scheduler='processes')[0])
print(dask.compute(map(dask.delayed(inc2), [1,2,3]), scheduler='processes')[0])

inc1 work, inc2 don't

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name: ✨ Feature Request about: Add TextBlob to NLP Imports

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