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Makefile
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Makefile
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.PHONY: clean data lint requirements sync_data_to_s3 sync_data_from_s3
#################################################################################
# GLOBALS #
#################################################################################
PROJECT_DIR := $(shell dirname $(realpath $(lastword $(MAKEFILE_LIST))))
BUCKET = [OPTIONAL] your-bucket-for-syncing-data (do not include 's3://')
PROFILE = default
PROJECT_NAME = random_features_refactored
PYTHON_INTERPRETER = python3
ifeq (,$(shell which conda))
HAS_CONDA=False
else
HAS_CONDA=True
endif
#################################################################################
# COMMANDS #
#################################################################################
## Install Python Dependencies
requirements: test_environment
$(PYTHON_INTERPRETER) -m pip install -U pip setuptools wheel
$(PYTHON_INTERPRETER) -m pip install -r requirements.txt
## Make Dataset
data: requirements
## create data directories since we ignore it in git by default. Not created if
## already exists
mkdir -p data/raw
mkdir -p data/processed
mkdir -p data/interim
mkdir -p data/external
## Download dataset for Brandon Pratt, extract and remove zip file
@echo ">>> Downloading wing sensilla data:"
gdown -O data/raw/sensilla_Pratt.zip https://drive.google.com/uc?id=1Gp9ULrPAjvI3RneweJaRvz2Ed-BvzMSB
unzip data/raw/sensilla_Pratt.zip -d data/raw/sensilla_Pratt && rm data/raw/sensilla_Pratt.zip
## Download all V1 datasets
@echo ">>> Downloading V1 data:"
gdown -O data/raw/rf_whitenoise_Marius.npz https://drive.google.com/uc?id=1b9H5yfB8q3jxG6Nmuab00b-7NIVKvT0_
gdown -O data/raw/rf_DHT_Marius.npz https://drive.google.com/uc?id=1tYZvreiO1_r8ZE9Lsraq9J-tt0qXyksa
gdown -O data/raw/rf_natural_images_Marius.npz https://drive.google.com/uc?id=1LfWqaQP-8AT2L5nc6dz_Ou-6sYWE-f80
gdown -O data/raw/rf_Ringach.mat https://drive.google.com/uc?id=1at_Neu_p0pPCMhuSRwWmc9J1hAsPPiY7
## Install the src package. This is our code.
# $(PYTHON_INTERPRETER) setup.py install
$(PYTHON_INTERPRETER) -m pip install -e .
## Preprocess datasets
$(PYTHON_INTERPRETER) src/data/make_dataset.py data/raw data/processed
## Delete all compiled Python files
clean:
find . -type f -name "*.py[co]" -delete
find . -type d -name "__pycache__" -delete
## Lint using flake8
lint:
flake8 src
## Upload Data to S3
sync_data_to_s3:
ifeq (default,$(PROFILE))
aws s3 sync data/ s3://$(BUCKET)/data/
else
aws s3 sync data/ s3://$(BUCKET)/data/ --profile $(PROFILE)
endif
## Download Data from S3
sync_data_from_s3:
ifeq (default,$(PROFILE))
aws s3 sync s3://$(BUCKET)/data/ data/
else
aws s3 sync s3://$(BUCKET)/data/ data/ --profile $(PROFILE)
endif
## Set up python interpreter environment
create_environment:
ifeq (True,$(HAS_CONDA))
@echo ">>> Detected conda, creating conda environment."
ifeq (3,$(findstring 3,$(PYTHON_INTERPRETER)))
conda create --name $(PROJECT_NAME) python=3
else
conda create --name $(PROJECT_NAME) python=2.7
endif
@echo ">>> New conda env created. Activate with:\nsource activate $(PROJECT_NAME)"
else
$(PYTHON_INTERPRETER) -m pip install -q virtualenv virtualenvwrapper
@echo ">>> Installing virtualenvwrapper if not already installed.\nMake sure the following lines are in shell startup file\n\
export WORKON_HOME=$$HOME/.virtualenvs\nexport PROJECT_HOME=$$HOME/Devel\nsource /usr/local/bin/virtualenvwrapper.sh\n"
@bash -c "source `which virtualenvwrapper.sh`;mkvirtualenv $(PROJECT_NAME) --python=$(PYTHON_INTERPRETER)"
@echo ">>> New virtualenv created. Activate with:\nworkon $(PROJECT_NAME)"
endif
## Test python environment is setup correctly
test_environment:
$(PYTHON_INTERPRETER) test_environment.py
#################################################################################
# PROJECT RULES #
#################################################################################
#################################################################################
# Self Documenting Commands #
#################################################################################
.DEFAULT_GOAL := help
# Inspired by <http://marmelab.com/blog/2016/02/29/auto-documented-makefile.html>
# sed script explained:
# /^##/:
# * save line in hold space
# * purge line
# * Loop:
# * append newline + line to hold space
# * go to next line
# * if line starts with doc comment, strip comment character off and loop
# * remove target prerequisites
# * append hold space (+ newline) to line
# * replace newline plus comments by `---`
# * print line
# Separate expressions are necessary because labels cannot be delimited by
# semicolon; see <http://stackoverflow.com/a/11799865/1968>
.PHONY: help
help:
@echo "$$(tput bold)Available rules:$$(tput sgr0)"
@echo
@sed -n -e "/^## / { \
h; \
s/.*//; \
:doc" \
-e "H; \
n; \
s/^## //; \
t doc" \
-e "s/:.*//; \
G; \
s/\\n## /---/; \
s/\\n/ /g; \
p; \
}" ${MAKEFILE_LIST} \
| LC_ALL='C' sort --ignore-case \
| awk -F '---' \
-v ncol=$$(tput cols) \
-v indent=19 \
-v col_on="$$(tput setaf 6)" \
-v col_off="$$(tput sgr0)" \
'{ \
printf "%s%*s%s ", col_on, -indent, $$1, col_off; \
n = split($$2, words, " "); \
line_length = ncol - indent; \
for (i = 1; i <= n; i++) { \
line_length -= length(words[i]) + 1; \
if (line_length <= 0) { \
line_length = ncol - indent - length(words[i]) - 1; \
printf "\n%*s ", -indent, " "; \
} \
printf "%s ", words[i]; \
} \
printf "\n"; \
}' \
| more $(shell test $(shell uname) = Darwin && echo '--no-init --raw-control-chars')