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Phenotype frames are split by sample IDs. This corresponds to
splitting along the index, unlike genotype frames which need to be
split along the columns.
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split_data_frame should only split the data frame. It should not be
filtering out metadata columns.
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It is so much simpler and much more robust to simply compare expected
and actual data frames.
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A cat-phenotype subcommand is coming. Hence rename this.
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pd.concat duplicates the metadata columns, and is generally the wrong
approach to the problem.
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Test cat_genotype extensively using hypothesis.
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We distinguish CLI subcommand functions using the _command suffix.
This way, we don't have to concoct weird names for the actual
workhorse functions.
To remain consistent, we also suffix _command to the command testing
functions.
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Make output ciphertext file path implicit; infer it by appending
".hegp" to the plaintext file. We take inspiration from GnuPG.
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We were testing for zero exit status. Now, in addition, we test for
the existence of output files. This is slightly more robust.
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* pyhegp/pyhegp.py: Import reduce from functools.
(pool_summaries, encrypt_genotype): New functions.
(pool): Use pool_summaries.
(encrypt): Use encrypt_genotype.
* tests/test_pyhegp.py: Import pandas; Summary, read_summary and
read_genotype from pyhegp.serialization.
(test_pool, test_encrypt): New tests.
* test-data/encrypt-test-encrypted-genotype.tsv,
test-data/encrypt-test-genotype.tsv, test-data/encrypt-test-key,
test-data/encrypt-test-summary, test-data/pool-test-complete-summary,
test-data/pool-test-summary1, test-data/pool-test-summary2: New files.
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* pyhegp/pyhegp.py (genotype_summary): New function.
(summary): Use genotype_summary.
(encrypt): Compute summary if not provided.
* tests/test_pyhegp.py (test_simple_workflow): Remove xfail mark.
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* README.md (How to use): Indent down into "Joint/federated analysis
with many data owners" section.
[Simple data sharing]: New section.
* doc/generate-images.sh: Add simple workflow.
* doc/workflow.png: Rename to doc/joint-workflow.png.
* doc/workflow.uml: Rename to doc/joint-workflow.uml.
* doc/simple-workflow.png, doc/simple-workflow.uml: New files.
* tests/test_pyhegp.py: Import pytest.
(test_simple_workflow): New test.
* test-data/genotype.tsv: New file.
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* tests/test_pyhegp.py: Import CliRunner from click.testing, and main
from pyhegp.pyhegp.
(test_joint_workflow): New test.
* test-data/genotype0.tsv, test-data/genotype1.tsv,
test-data/genotype2.tsv, test-data/genotype3.tsv: New files.
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* tests/test_pyhegp.py (negate): Move to pyhegp.utils.
Import negate from pyhegp.utils.
* pyhegp/utils.py: New file.
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* tests/test_pyhegp.py (test_pool_stats): Set relative tolerance to
1e-6.
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* tests/test_pyhegp.py: Import math.
(square_matrices, negate, is_singular): New functions.
(test_conservation_of_solutions): New test.
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* pyhegp/pyhegp.py (hegp_encrypt, hegp_decrypt): Do not standardize or
unstandardize.
(encrypt): Standardize before calling hegp_encrypt.
* tests/test_pyhegp.py (test_hegp_encryption_decryption_are_inverses):
Do not pass mean and standard deviation for standardization and
unstandardization.
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* tests/test_pyhegp.py (test_hegp_encryption_decryption_are_inverses):
Do not test encryption on order 1 matrices.
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* pyhegp/pyhegp.py (hegp_encrypt): Standardize before encryption.
(hegp_decrypt): Unstandardize after decryption.
(encrypt): Pass in mean and standard deviation from summary file to
hegp_encrypt.
* tests/test_pyhegp.py (test_hegp_encryption_decryption_are_inverses):
Pass in mean and standard deviation to hegp_encrypt.
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* pyhegp/pyhegp.py (standardize): Standardize using mean and standard
deviation, instead of the minor allele frequency.
(unstandardize): New function.
* tests/test_pyhegp.py: Import standardize and unstandardize from
pyhegp.pyhegp.
(no_column_zero_standard_deviation): New function.
(test_standardize_unstandardize_are_inverses): New test.
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* pyhegp/pyhegp.py: Import namedtuple from collections, and
read_summary from pyhegp.serialization.
(Stats): New type.
(pool_stats, pool): New functions.
* tests/test_pyhegp.py: Import Stats and pool_stats from
pyhegp.pyhegp.
(test_pool_stats): New test.
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It may be better to sample a smaller set of matrices finely than a
large set of matrices coarsely.
* tests/test_pyhegp.py (test_hegp_encryption_decryption_are_inverses):
Use default array shapes testing encryption/decryption.
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* tests/test_pyhegp.py (test_hegp_encryption_decryption_are_inverses):
Reduce maximum matrix size to 100.
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* pyhegp/__init__.py: New file.
* pyhegp.py: Move to pyhegp/pyhegp.py.
* test_pyhegp.py: Move to tests/test_pyhegp.py. Import from
pyhegp.pyhegp instead of from pyhegp.
* pyproject.toml (project.scripts)[pyhegp]: Switch to
pyhegp.pyhegp:main.
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