🐛 fix some bug

- if [[ "$TRAVIS_OS_NAME" == "windows" ]]; then choco install miniconda3 --params="'/JustMe

  /AddToPath:1'"; export PATH="/c/tools/miniconda3/:/c/tools/miniconda3/Scripts:/c/tools/miniconda3/Library/bin:$PATH";

  source /c/tools/miniconda3/etc/profile.d/conda.sh; fi

- hash -r

- conda config --set always_yes yes --set changeps1 no

- conda update -q conda

- conda config --add channels http://conda.binstar.org/omnia

- bash scripts/install_deepchem_conda.sh deepchem

- conda activate deepchem

- pip install yapf==0.22.0

- pip install coveralls

- python setup.py install

- pip install coveralls yapf==0.22.0

script:

- pytest -m "not slow" --cov=deepchem deepchem

- if [ $TRAVIS_PYTHON_VERSION == '3.7' ]; then find ./deepchem | grep .py$ | xargs

  password:

    secure: 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

  edge: true

  on:

    condition: $TRAVIS_OS_NAME = linux && $TRAVIS_PYTHON_VERSION = 3.7

- [Requirements](#requirements)

- [Installation](#installation)

  - [Stable version](#stable-version)

  - [Nightly version](#nightly-build-version)

  - [Nightly build version](#nightly-build-version)

  - [Docker](#docker)

  - [From source](#from-source)

- [Getting Started](#getting-started)

"""

Imports all submodules

"""

__version__ = '2.4.0-rc.1'

# If you push the tag, please remove `.dev`

__version__ = '2.4.0-rc1.dev'

import deepchem.data

import deepchem.feat

class AttnLSTMEmbedding(tf.keras.layers.Layer):

  """Implements AttnLSTM as in matching networks paper.

  """Implements AttnLSTM as in matching networks paper [1]_, [2]_.

  The AttnLSTM embedding adjusts two sets of vectors, the "test" and

  "support" sets. The "support" consists of a set of evidence vectors.

  metric that allows a network to modify its internal notion of

  distance.

  References:

  Matching Networks for One Shot Learning

  https://arxiv.org/pdf/1606.04080v1.pdf

  Order Matters: Sequence to sequence for sets

  https://arxiv.org/abs/1511.06391

  References

  ----------

  .. [1] Matching Networks for One Shot Learning, https://arxiv.org/abs/1606.04080

  .. [2] Order Matters: Sequence to sequence for sets, https://arxiv.org/abs/1511.06391

  """

  def __init__(self, n_test, n_support, n_feat, max_depth, **kwargs):

  References

  ----------

  Gayvert, Kaitlyn M., Neel S. Madhukar, and Olivier Elemento. "A data-driven approach to predicting successes and failures of clinical trials." Cell chemical biology 23.10 (2016): 1294-1301.

  Artemov, Artem V., et al. "Integrated deep learned transcriptomic and structure-based predictor of clinical trials outcomes." bioRxiv (2016): 095653.

  Novick, Paul A., et al. "SWEETLEAD: an in silico database of approved drugs, regulated chemicals, and herbal isolates for computer-aided drug discovery." PloS one 8.11 (2013): e79568.

  Aggregate Analysis of ClincalTrials.gov (AACT) Database. https://www.ctti-clinicaltrials.org/aact-database

  .. [1] Gayvert, Kaitlyn M., Neel S. Madhukar, and Olivier Elemento. 

     "A data-driven approach to predicting successes and failures of clinical trials." 

     Cell chemical biology 23.10 (2016): 1294-1301.

  .. [2] Artemov, Artem V., et al. "Integrated deep learned transcriptomic and 

     structure-based predictor of clinical trials outcomes." bioRxiv (2016): 095653.

  .. [3] Novick, Paul A., et al. "SWEETLEAD: an in silico database of approved drugs, 

     regulated chemicals, and herbal isolates for computer-aided drug discovery." 

     PloS one 8.11 (2013): e79568.

  .. [4] Aggregate Analysis of ClincalTrials.gov (AACT) Database. 

     https://www.ctti-clinicaltrials.org/aact-database

  """

  if data_dir is None:

    data_dir = DEFAULT_DIR