From 36c342b1d3adbde19a9e1f218819449e0a7f476b Mon Sep 17 00:00:00 2001 From: Adam Thompson <arthompson1990@gmail.com> Date: Mon, 11 Oct 2021 18:40:44 +0100 Subject: [PATCH 1/6] Use filter_back_data when calculating ratios --- statistical_methods_library/imputation.py | 6 +----- 1 file changed, 1 insertion(+), 5 deletions(-) diff --git a/statistical_methods_library/imputation.py b/statistical_methods_library/imputation.py index abbef1c3..45759d3d 100644 --- a/statistical_methods_library/imputation.py +++ b/statistical_methods_library/imputation.py @@ -321,13 +321,9 @@ def prepare(df: DataFrame) -> DataFrame: # supplied. prepared_back_data_df = prepared_df.filter(col(period_col).isNull()) - prepared_back_data_df = prepared_back_data_df.localCheckpoint(eager=True) - # Ratio calculation needs all the responses from the back data prepared_df = prepared_df.unionByName( - prepared_back_data_df.filter( - col("marker") == lit(Marker.RESPONSE.value) - ) + filter_back_data(col("marker") == lit(Marker.RESPONSE.value)) ) return calculate_ratios(prepared_df) From a9153e3bc1c37c0a03dfd5a4ace8a63a640e7c85 Mon Sep 17 00:00:00 2001 From: Adam Thompson <arthompson1990@gmail.com> Date: Mon, 11 Oct 2021 20:37:17 +0100 Subject: [PATCH 2/6] Store the period prior to the start of imputation as a literal value so we can turn a couple of antijoins into filters (hopefully more efficient) and stop dropping the data from prepared back data to save an extra filter run which would have to pass over all the same data anyway --- statistical_methods_library/imputation.py | 29 +++++++++++++---------- 1 file changed, 17 insertions(+), 12 deletions(-) diff --git a/statistical_methods_library/imputation.py b/statistical_methods_library/imputation.py index 45759d3d..28f77db6 100644 --- a/statistical_methods_library/imputation.py +++ b/statistical_methods_library/imputation.py @@ -282,6 +282,9 @@ def validate_df( # Cache the prepared back data df since we'll need a few differently # filtered versions prepared_back_data_df = None + # Store the value for the period prior to the start of imputation. + # Stored as a value to avoid a join in output creation. + prior_period = None # --- Prepare DF --- @@ -300,15 +303,21 @@ def prepare(df: DataFrame) -> DataFrame: .withColumn("next_period", calculate_next_period(col("period"))) ) + nonlocal prior_period + # We know this will be a single value so use collect as then we + # can filter directly. + prior_period = prepared_df.selectExpr("min(previous_period)").collect()[0][0] + nonlocal prepared_back_data_df if back_data_df: prepared_back_data_df = ( select_cols( - back_data_df.join( - prepared_df.selectExpr("min(previous_period)"), - [col(period_col) == col("min(previous_period)")], - "inner", - ).filter(col(marker_col) != lit(Marker.BACKWARD_IMPUTE.value)) + back_data_df.filter( + ( + (col(period_col) == lit(prior_period)) + & (col(marker_col) != lit(Marker.BACKWARD_IMPUTE.value)) + ) + ) ) .drop("target") .withColumn( @@ -321,6 +330,7 @@ def prepare(df: DataFrame) -> DataFrame: # supplied. prepared_back_data_df = prepared_df.filter(col(period_col).isNull()) + prepared_back_data_df = prepared_back_data_df.localCheckpoint(eager=True) # Ratio calculation needs all the responses from the back data prepared_df = prepared_df.unionByName( filter_back_data(col("marker") == lit(Marker.RESPONSE.value)) @@ -609,7 +619,7 @@ def forward_impute_from_construction(df: DataFrame) -> DataFrame: # --- Utility functions --- def create_output(df: DataFrame) -> DataFrame: return select_cols( - df.join(prepared_back_data_df, ["period"], "leftanti"), reversed=False + df.filter(col("period") != lit(prior_period)), reversed=False ).withColumnRenamed("output", output_col) def select_cols(df: DataFrame, reversed: bool = True) -> DataFrame: @@ -637,14 +647,9 @@ def calculate_next_period(period: Column) -> Column: ).otherwise((period.cast("int") + 1).cast("string")) def filter_back_data(filter_col: Column) -> DataFrame: - nonlocal prepared_back_data_df - filtered_df = prepared_back_data_df.filter(filter_col).localCheckpoint( + return prepared_back_data_df.filter(filter_col).localCheckpoint( eager=True ) - prepared_back_data_df = prepared_back_data_df.join( - filtered_df, ["ref", "period"], "leftanti" - ).localCheckpoint(eager=True) - return filtered_df # ---------- From 08dac61827e8694d92a92332b3b310f6d7152519 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Mon, 11 Oct 2021 23:45:34 +0100 Subject: [PATCH 3/6] Bump coverage from 6.0.1 to 6.0.2 (#46) Bumps [coverage](https://github.com/nedbat/coveragepy) from 6.0.1 to 6.0.2. - [Release notes](https://github.com/nedbat/coveragepy/releases) - [Changelog](https://github.com/nedbat/coveragepy/blob/master/CHANGES.rst) - [Commits](https://github.com/nedbat/coveragepy/compare/6.0.1...6.0.2) --- updated-dependencies: - dependency-name: coverage dependency-type: direct:development update-type: version-update:semver-patch ... 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statistical_methods_library/imputation.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/statistical_methods_library/imputation.py b/statistical_methods_library/imputation.py index 28f77db6..f4aee9d8 100644 --- a/statistical_methods_library/imputation.py +++ b/statistical_methods_library/imputation.py @@ -306,7 +306,9 @@ def prepare(df: DataFrame) -> DataFrame: nonlocal prior_period # We know this will be a single value so use collect as then we # can filter directly. - prior_period = prepared_df.selectExpr("min(previous_period)").collect()[0][0] + prior_period = prepared_df.selectExpr("min(previous_period)").collect()[0][ + 0 + ] nonlocal prepared_back_data_df if back_data_df: @@ -647,9 +649,7 @@ def calculate_next_period(period: Column) -> Column: ).otherwise((period.cast("int") + 1).cast("string")) def filter_back_data(filter_col: Column) -> DataFrame: - return prepared_back_data_df.filter(filter_col).localCheckpoint( - eager=True - ) + return prepared_back_data_df.filter(filter_col).localCheckpoint(eager=True) # ---------- From ff11cd36b0c51850df7c601fa06f1979d60a6820 Mon Sep 17 00:00:00 2001 From: Adam Thompson <arthompson1990@gmail.com> Date: Tue, 12 Oct 2021 11:04:50 +0100 Subject: [PATCH 5/6] bump version --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index f6ddb34a..df1c5f8b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "statistical_methods_library" -version = "3.5.2" +version = "3.5.3" description = "" authors = ["Your Name <you@example.com>"] license = "MIT" From 1953f0823ecb0b11d4a529353761c2d6bb311894 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Tue, 12 Oct 2021 10:15:53 +0000 Subject: [PATCH 6/6] Bump flake8 from 3.9.2 to 4.0.1 Bumps [flake8](https://github.com/pycqa/flake8) from 3.9.2 to 4.0.1. - [Release notes](https://github.com/pycqa/flake8/releases) - [Commits](https://github.com/pycqa/flake8/compare/3.9.2...4.0.1) --- updated-dependencies: - dependency-name: flake8 dependency-type: direct:development update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] <support@github.com> --- poetry.lock | 39 +++++++++++++++++++-------------------- pyproject.toml | 2 +- 2 files changed, 20 insertions(+), 21 deletions(-) diff --git a/poetry.lock b/poetry.lock index a87b9b62..20d8eb21 100644 --- a/poetry.lock +++ b/poetry.lock @@ -127,17 +127,17 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" [[package]] name = "flake8" -version = "3.9.2" +version = "4.0.1" description = "the modular source code checker: pep8 pyflakes and co" category = "dev" optional = false -python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7" +python-versions = ">=3.6" [package.dependencies] -importlib-metadata = {version = "*", markers = "python_version < \"3.8\""} +importlib-metadata = {version = "<4.3", markers = "python_version < \"3.8\""} mccabe = ">=0.6.0,<0.7.0" -pycodestyle = ">=2.7.0,<2.8.0" -pyflakes = ">=2.3.0,<2.4.0" +pycodestyle = ">=2.8.0,<2.9.0" +pyflakes = ">=2.4.0,<2.5.0" [[package]] name = "ghp-import" @@ -198,7 +198,7 @@ python-versions = ">=3.5" [[package]] name = "importlib-metadata" -version = "4.8.1" +version = "4.2.0" description = "Read metadata from Python packages" category = "dev" optional = false @@ -210,8 +210,7 @@ zipp = ">=0.5" [package.extras] docs = ["sphinx", "jaraco.packaging (>=8.2)", "rst.linker (>=1.9)"] -perf = ["ipython"] -testing = ["pytest (>=4.6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.0.1)", "packaging", "pep517", "pyfakefs", "flufl.flake8", "pytest-perf (>=0.9.2)", "pytest-black (>=0.3.7)", "pytest-mypy", "importlib-resources (>=1.3)"] +testing = ["pytest (>=4.6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.0.1)", "packaging", "pep517", "pyfakefs", "flufl.flake8", "pytest-black (>=0.3.7)", "pytest-mypy", "importlib-resources (>=1.3)"] [[package]] name = "iniconfig" @@ -465,15 +464,15 @@ python-versions = "*" [[package]] name = "pycodestyle" -version = "2.7.0" +version = "2.8.0" description = "Python style guide checker" category = "dev" optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" [[package]] name = "pyflakes" -version = "2.3.1" +version = "2.4.0" description = "passive checker of Python programs" category = "dev" optional = false @@ -752,7 +751,7 @@ testing = ["pytest (>=4.6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytes [metadata] lock-version = "1.1" python-versions = "^3.7" -content-hash = "c3745c95be4532ffbe55e5081c00a4647acda5586108b17fc45c90493cc349ea" +content-hash = "ee8f11a1fa921510a9a72c3df37f390c74885b61665d38b86d726b7b78f9ae8d" [metadata.files] atomicwrites = [ @@ -842,8 +841,8 @@ falcon = [ {file = "falcon-2.0.0.tar.gz", hash = "sha256:eea593cf466b9c126ce667f6d30503624ef24459f118c75594a69353b6c3d5fc"}, ] flake8 = [ - {file = "flake8-3.9.2-py2.py3-none-any.whl", hash = "sha256:bf8fd333346d844f616e8d47905ef3a3384edae6b4e9beb0c5101e25e3110907"}, - {file = "flake8-3.9.2.tar.gz", hash = "sha256:07528381786f2a6237b061f6e96610a4167b226cb926e2aa2b6b1d78057c576b"}, + {file = "flake8-4.0.1-py2.py3-none-any.whl", hash = "sha256:479b1304f72536a55948cb40a32dce8bb0ffe3501e26eaf292c7e60eb5e0428d"}, + {file = "flake8-4.0.1.tar.gz", hash = "sha256:806e034dda44114815e23c16ef92f95c91e4c71100ff52813adf7132a6ad870d"}, ] ghp-import = [ {file = "ghp-import-2.0.1.tar.gz", hash = "sha256:753de2eace6e0f7d4edfb3cce5e3c3b98cd52aadb80163303d1d036bda7b4483"}, @@ -866,8 +865,8 @@ idna = [ {file = "idna-3.2.tar.gz", hash = "sha256:467fbad99067910785144ce333826c71fb0e63a425657295239737f7ecd125f3"}, ] importlib-metadata = [ - {file = "importlib_metadata-4.8.1-py3-none-any.whl", hash = "sha256:b618b6d2d5ffa2f16add5697cf57a46c76a56229b0ed1c438322e4e95645bd15"}, - {file = "importlib_metadata-4.8.1.tar.gz", hash = "sha256:f284b3e11256ad1e5d03ab86bb2ccd6f5339688ff17a4d797a0fe7df326f23b1"}, + {file = "importlib_metadata-4.2.0-py3-none-any.whl", hash = "sha256:057e92c15bc8d9e8109738a48db0ccb31b4d9d5cfbee5a8670879a30be66304b"}, + {file = "importlib_metadata-4.2.0.tar.gz", hash = "sha256:b7e52a1f8dec14a75ea73e0891f3060099ca1d8e6a462a4dff11c3e119ea1b31"}, ] iniconfig = [ {file = "iniconfig-1.1.1-py2.py3-none-any.whl", hash = "sha256:011e24c64b7f47f6ebd835bb12a743f2fbe9a26d4cecaa7f53bc4f35ee9da8b3"}, @@ -1005,12 +1004,12 @@ py4j = [ {file = "py4j-0.10.9.tar.gz", hash = "sha256:36ec57f43ff8ced260a18aa9a4e46c3500a730cac8860e259cbaa546c2b9db2f"}, ] pycodestyle = [ - {file = "pycodestyle-2.7.0-py2.py3-none-any.whl", hash = "sha256:514f76d918fcc0b55c6680472f0a37970994e07bbb80725808c17089be302068"}, - {file = "pycodestyle-2.7.0.tar.gz", hash = "sha256:c389c1d06bf7904078ca03399a4816f974a1d590090fecea0c63ec26ebaf1cef"}, + {file = "pycodestyle-2.8.0-py2.py3-none-any.whl", hash = "sha256:720f8b39dde8b293825e7ff02c475f3077124006db4f440dcbc9a20b76548a20"}, + {file = "pycodestyle-2.8.0.tar.gz", hash = "sha256:eddd5847ef438ea1c7870ca7eb78a9d47ce0cdb4851a5523949f2601d0cbbe7f"}, ] pyflakes = [ - {file = "pyflakes-2.3.1-py2.py3-none-any.whl", hash = "sha256:7893783d01b8a89811dd72d7dfd4d84ff098e5eed95cfa8905b22bbffe52efc3"}, - {file = "pyflakes-2.3.1.tar.gz", hash = "sha256:f5bc8ecabc05bb9d291eb5203d6810b49040f6ff446a756326104746cc00c1db"}, + {file = "pyflakes-2.4.0-py2.py3-none-any.whl", hash = "sha256:3bb3a3f256f4b7968c9c788781e4ff07dce46bdf12339dcda61053375426ee2e"}, + {file = "pyflakes-2.4.0.tar.gz", hash = "sha256:05a85c2872edf37a4ed30b0cce2f6093e1d0581f8c19d7393122da7e25b2b24c"}, ] pygments = [ {file = "Pygments-2.10.0-py3-none-any.whl", hash = "sha256:b8e67fe6af78f492b3c4b3e2970c0624cbf08beb1e493b2c99b9fa1b67a20380"}, diff --git a/pyproject.toml b/pyproject.toml index df1c5f8b..b5ace495 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -13,7 +13,7 @@ pyspark = "3.1.1" pytest = "^6.2.4" black = "^21.9b0" isort = "^5.8.0" -flake8 = "^3.9.2" +flake8 = "^4.0.1" coverage = "^6.0" pytest-cov = "^3.0.0" chispa = "*"