From ea54da7e6e0df0acef7a5b593e5c71e1026748a9 Mon Sep 17 00:00:00 2001 From: Tristan Dennis Date: Tue, 26 Mar 2024 10:52:53 +0000 Subject: [PATCH 01/42] add plink converyt function, faff around with some tests --- malariagen_data/anoph/test-1.ipynb | 237 +++++++ malariagen_data/anoph/to_plink.py | 203 ++++++ malariagen_data/anopheles.py | 2 + malariagen_data/util.py | 6 +- notebooks/plink_convert.ipynb | 972 +++++++++++++++++++++++++++++ tests/anoph/test_snp_data.py | 1 + 6 files changed, 1419 insertions(+), 2 deletions(-) create mode 100644 malariagen_data/anoph/test-1.ipynb create mode 100644 malariagen_data/anoph/to_plink.py create mode 100644 notebooks/plink_convert.ipynb diff --git a/malariagen_data/anoph/test-1.ipynb b/malariagen_data/anoph/test-1.ipynb new file mode 100644 index 000000000..cac9d8fdb --- /dev/null +++ b/malariagen_data/anoph/test-1.ipynb @@ -0,0 +1,237 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'base_params' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[1], line 162\u001b[0m\n\u001b[1;32m 140\u001b[0m bed_reader\u001b[38;5;241m.\u001b[39mto_bed(\n\u001b[1;32m 141\u001b[0m filepath\u001b[38;5;241m=\u001b[39mbed_file_path,\n\u001b[1;32m 142\u001b[0m val\u001b[38;5;241m=\u001b[39mval,\n\u001b[1;32m 143\u001b[0m properties\u001b[38;5;241m=\u001b[39mproperties,\n\u001b[1;32m 144\u001b[0m count_A1\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m,\n\u001b[1;32m 145\u001b[0m )\n\u001b[1;32m 147\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m plink_file_path\n\u001b[1;32m 149\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mbiallelic_snps_to_plink\u001b[39m(\n\u001b[1;32m 150\u001b[0m \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m 151\u001b[0m results_dir,\n\u001b[1;32m 152\u001b[0m region: base_params\u001b[38;5;241m.\u001b[39mregions,\n\u001b[1;32m 153\u001b[0m n_snps: base_params\u001b[38;5;241m.\u001b[39mn_snps,\n\u001b[1;32m 154\u001b[0m thin_offset: base_params\u001b[38;5;241m.\u001b[39mthin_offset \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0\u001b[39m,\n\u001b[1;32m 155\u001b[0m sample_sets: Optional[base_params\u001b[38;5;241m.\u001b[39msample_sets] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m 156\u001b[0m sample_query: Optional[base_params\u001b[38;5;241m.\u001b[39msample_query] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m 157\u001b[0m sample_indices: Optional[base_params\u001b[38;5;241m.\u001b[39msample_indices] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m 158\u001b[0m site_mask: Optional[base_params\u001b[38;5;241m.\u001b[39msite_mask] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m 159\u001b[0m min_minor_ac: Optional[base_params\u001b[38;5;241m.\u001b[39mmin_minor_ac] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m 160\u001b[0m max_missing_an: Optional[base_params\u001b[38;5;241m.\u001b[39mmax_missing_an] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m 161\u001b[0m random_seed: base_params\u001b[38;5;241m.\u001b[39mrandom_seed \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m42\u001b[39m,\n\u001b[0;32m--> 162\u001b[0m inline_array: base_params\u001b[38;5;241m.\u001b[39minline_array \u001b[38;5;241m=\u001b[39m \u001b[43mbase_params\u001b[49m\u001b[38;5;241m.\u001b[39minline_array_default,\n\u001b[1;32m 163\u001b[0m chunks: base_params\u001b[38;5;241m.\u001b[39mchunks \u001b[38;5;241m=\u001b[39m base_params\u001b[38;5;241m.\u001b[39mchunks_default,\n\u001b[1;32m 164\u001b[0m ):\n\u001b[1;32m 166\u001b[0m params \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mdict\u001b[39m(\n\u001b[1;32m 167\u001b[0m results_dir\u001b[38;5;241m=\u001b[39mresults_dir,\n\u001b[1;32m 168\u001b[0m region\u001b[38;5;241m=\u001b[39mregion,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 177\u001b[0m random_seed\u001b[38;5;241m=\u001b[39mrandom_seed,\n\u001b[1;32m 178\u001b[0m )\n\u001b[1;32m 179\u001b[0m \u001b[38;5;66;03m#for the sake of getting this going \u001b[39;00m\n\u001b[1;32m 180\u001b[0m \u001b[38;5;66;03m#and also because i expect sanjay and ali will rework most of this, i will forgo the type checks until later\u001b[39;00m\n", + "\u001b[0;31mNameError\u001b[0m: name 'base_params' is not defined" + ] + } + ], + "source": [ + "import malariagen_data\n", + "from collections import Counter\n", + "from typing import Optional, Tuple\n", + "\n", + "import allel # type: ignore\n", + "import numpy as np\n", + "import os\n", + "import bed_reader\n", + "from dask.diagnostics import ProgressBar\n", + "# import bokeh.plotting\n", + "\n", + "#from .snp_data import AnophelesSnpData\n", + "#from ..util import hash_columns, check_types, CacheMiss\n", + "#from . import base_params\n", + "#from .base_params import DEFAULT\n", + "\n", + "def _create_plink_outfile(\n", + " self,\n", + " *,\n", + " results_dir,\n", + " region,\n", + " n_snps,\n", + " min_minor_ac,\n", + " thin_offset,\n", + " max_missing_an,\n", + "):\n", + " return f\"{results_dir}/{region}.{n_snps}.{min_minor_ac}.{thin_offset}.{max_missing_an}\"\n", + "\n", + "def _biallelic_snps_to_plink(\n", + " #_ means internal function\n", + " #loads biallelic diplotypes and selects segregating sites among them, converts to plink\n", + " self,\n", + " *,\n", + " results_dir,\n", + " region,\n", + " n_snps,\n", + " thin_offset,\n", + " sample_sets,\n", + " sample_query,\n", + " sample_indices,\n", + " site_mask,\n", + " min_minor_ac,\n", + " max_missing_an,\n", + " random_seed,\n", + " inline_array,\n", + " chunks,\n", + "):\n", + " \n", + " #first define output file\n", + " plink_file_path = self._create_plink_outfile(\n", + " results_dir=results_dir,\n", + " region=region,\n", + " n_snps=n_snps,\n", + " thin_offset=thin_offset,\n", + " min_minor_ac=min_minor_ac,\n", + " max_missing_an=max_missing_an,\n", + " )\n", + "\n", + " bed_file_path = f\"{plink_file_path}.bed\"\n", + " if os.path.exists(bed_file_path):\n", + " return plink_file_path\n", + "\n", + " #get snps\n", + " ds_snps = self.biallelic_snp_calls(\n", + " n_snps=n_snps,\n", + " region=region,\n", + " thin_offset=thin_offset,\n", + " sample_sets=sample_sets,\n", + " sample_query=sample_query,\n", + " sample_indices=sample_indices,\n", + " site_mask=site_mask,\n", + " min_minor_ac=min_minor_ac,\n", + " max_missing_an=max_missing_an,\n", + " random_seed=random_seed,\n", + " inline_array=inline_array,\n", + " chunks=chunks,\n", + " )\n", + "\n", + "\n", + " #filter snps on segregating sites\n", + " with self._spinner(\"Subsetting to segregating sites\"):\n", + " gt = ds_snps[\"call_genotype\"].data.compute()\n", + " print(\"count alleles\")\n", + " with ProgressBar():\n", + " ac = allel.GenotypeArray(gt).count_alleles(max_allele=3)\n", + " print(\"ascertain segregating sites\")\n", + " n_chroms = ds_snps.dims[\"samples\"] * 2\n", + " an_called = ac.sum(axis=1)\n", + " an_missing = n_chroms - an_called\n", + " min_ref_ac = min_minor_ac\n", + " max_ref_ac = n_chroms - min_minor_ac\n", + " # here we choose segregating sites\n", + " loc_sites = (\n", + " (ac[:, 0] >= min_ref_ac)\n", + " & (ac[:, 0] <= max_ref_ac)\n", + " & (an_missing <= max_missing_an)\n", + " )\n", + " print(f\"ascertained {np.count_nonzero(loc_sites):,} sites\")\n", + "\n", + "\n", + " #set up dataset with required vars for plink conversion\n", + " print(\"Set up dataset\")\n", + " ds_snps_asc = (\n", + " ds_snps[[\"variant_contig\", \"variant_position\", \"variant_allele\", \"sample_id\", \"call_genotype\"]]\n", + " .isel(alleles=slice(0, 2))\n", + " .sel(variants=loc_sites)\n", + " )\n", + "\n", + " #compute gt ref counts\n", + " with self._spinner(\"Computing genotype ref counts\"):\n", + " gn_ref = allel.GenotypeDaskArray(gt).to_n_ref(fill=-127) #what does the fill do\n", + " with ProgressBar():\n", + " gn_ref = gn_ref.compute()\n", + "\n", + " print(\"Ensure genotypes vary\")\n", + " loc_var = np.any(gn_ref != gn_ref[:, 0, np.newaxis], axis=1)\n", + " print(f\"final no. variants {np.count_nonzero(loc_var)}\")\n", + "\n", + "\n", + " print(\"Load final data\")\n", + " with ProgressBar():\n", + " ds_snps_final = (\n", + " ds_snps_asc[[\"variant_contig\", \"variant_position\", \"variant_allele\", \"sample_id\"]]\n", + " .isel(variants=loc_var)\n", + " )\n", + "\n", + " #init vars for input to bed reader\n", + " gn_ref_final = gn_ref[loc_var]\n", + " val = gn_ref_final.T\n", + " alleles = ds_snps_final[\"variant_allele\"].values\n", + " properties = {\n", + " \"iid\": ds_snps_final[\"sample_id\"].values,\n", + " \"chromosome\": ds_snps_final[\"variant_contig\"].values,\n", + " \"bp_position\": ds_snps_final[\"variant_position\"].values,\n", + " \"allele_1\": alleles[:, 0],\n", + " \"allele_2\": alleles[:, 1],\n", + " }\n", + "\n", + " print(f\"write plink files to {plink_file_path}\")\n", + " bed_reader.to_bed(\n", + " filepath=bed_file_path,\n", + " val=val,\n", + " properties=properties,\n", + " count_A1=True,\n", + " )\n", + "\n", + " return plink_file_path\n", + "\n", + "def biallelic_snps_to_plink(\n", + " self,\n", + " results_dir,\n", + " region: base_params.regions,\n", + " n_snps: base_params.n_snps,\n", + " thin_offset = 0,\n", + " sample_sets: Optional[base_params.sample_sets] = None,\n", + " sample_query: Optional[base_params.sample_query] = None,\n", + " sample_indices: Optional[base_params.sample_indices] = None,\n", + " site_mask: Optional[base_params.site_mask] = None,\n", + " min_minor_ac: Optional[base_params.min_minor_ac] = None,\n", + " max_missing_an: Optional[base_params.max_missing_an] = None,\n", + " random_seed: base_params.random_seed = 42,\n", + " inline_array: base_params.inline_array = base_params.inline_array_default,\n", + " chunks: base_params.chunks = base_params.chunks_default,\n", + "):\n", + " \n", + " params = dict(\n", + " results_dir=results_dir,\n", + " region=region,\n", + " n_snps=n_snps,\n", + " thin_offset=thin_offset,\n", + " sample_sets=sample_sets,\n", + " sample_query=sample_query,\n", + " sample_indices=sample_indices,\n", + " site_mask=site_mask,\n", + " min_minor_ac=min_minor_ac,\n", + " max_missing_an=max_missing_an,\n", + " random_seed=random_seed,\n", + " )\n", + " #for the sake of getting this going \n", + " #and also because i expect sanjay and ali will rework most of this, i will forgo the type checks until later\n", + "\n", + " filepath = self._biallelic_snps_to_plink(\n", + " inline_array=inline_array, chunks=chunks, **params\n", + " )\n", + " return filepath" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "malariagen_plink", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.10" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/malariagen_data/anoph/to_plink.py b/malariagen_data/anoph/to_plink.py new file mode 100644 index 000000000..0537af25c --- /dev/null +++ b/malariagen_data/anoph/to_plink.py @@ -0,0 +1,203 @@ +from typing import Optional + +import allel # type: ignore +import numpy as np +import os +import bed_reader +from dask.diagnostics import ProgressBar +# import bokeh.plotting + +from .snp_data import AnophelesSnpData +from . import base_params + + +# So far all of this has been copied from Sanjay's g123 notebook as it loads snp data with some optional filters. +class PlinkConverter( + # ADMIXTURE is the main reason I want to convert malaariagen SNP data to PLINK format, and it uses genotype data. + AnophelesSnpData, +): + def __init__( + self, + **kwargs, + ): + # N.B., this class is designed to work cooperatively, and + # so it's important that any remaining parameters are passed + # to the superclass constructor. + super().__init__(**kwargs) + + def _create_plink_outfile( + self, + *, + results_dir, + region, + n_snps, + min_minor_ac, + thin_offset, + max_missing_an, + ): + return f"{results_dir}/{region}.{n_snps}.{min_minor_ac}.{thin_offset}.{max_missing_an}" + + def _biallelic_snps_to_plink( + # _ means internal function + # loads biallelic diplotypes and selects segregating sites among them, converts to plink + self, + *, + results_dir, + region, + n_snps, + thin_offset, + sample_sets, + sample_query, + sample_indices, + site_mask, + min_minor_ac, + max_missing_an, + random_seed, + inline_array, + chunks, + ): + # first define output file + plink_file_path = self._create_plink_outfile( + results_dir=results_dir, + region=region, + n_snps=n_snps, + thin_offset=thin_offset, + min_minor_ac=min_minor_ac, + max_missing_an=max_missing_an, + ) + + bed_file_path = f"{plink_file_path}.bed" + if os.path.exists(bed_file_path): + return plink_file_path + + # get snps + ds_snps = self.snp_calls( + region=region, + sample_sets=sample_sets, + sample_query=sample_query, + sample_indices=sample_indices, + site_mask=site_mask, + # min_minor_ac=min_minor_ac, + # max_missing_an=max_missing_an, + random_seed=random_seed, + inline_array=inline_array, + chunks=chunks, + ) + + # filter snps on segregating sites + with self._spinner("Subsetting to segregating sites"): + gt = ds_snps["call_genotype"].data.compute() + print("count alleles") + with ProgressBar(): + ac = allel.GenotypeArray(gt).count_alleles(max_allele=3) + print("ascertain segregating sites") + n_chroms = ds_snps.dims["samples"] * 2 + an_called = ac.sum(axis=1) + an_missing = n_chroms - an_called + min_ref_ac = min_minor_ac + max_ref_ac = n_chroms - min_minor_ac + # here we choose segregating sites + loc_sites = ( # put in is_biallelic + (ac[:, 0] >= min_ref_ac) + & (ac[:, 0] <= max_ref_ac) + & (an_missing <= max_missing_an) + ) + print(f"ascertained {np.count_nonzero(loc_sites):,} sites") + + print("thin sites") + ix_sites = np.nonzero(loc_sites)[0] + thin_step = max(ix_sites.shape[0] // n_snps, 1) + ix_sites_thinned = ix_sites[thin_offset::thin_step] + print(f"thinned to {np.count_nonzero(ix_sites_thinned):,} sites") + + # set up dataset with required vars for plink conversion + print("Set up dataset") + ds_snps_asc = ( + ds_snps[ + [ + "variant_contig", + "variant_position", + "variant_allele", + "sample_id", + "call_genotype", + ] + ] + .isel(alleles=slice(0, 2)) + .sel(variants=ix_sites_thinned) + ) + + # compute gt ref counts + with self._spinner("Computing genotype ref counts"): + gt_asc = ds_snps_asc["call_genotype"].data.compute() + gn_ref = allel.GenotypeDaskArray(gt_asc).to_n_ref(fill=-127) + with ProgressBar(): + gn_ref = gn_ref.compute() + + print("Ensure genotypes vary") + loc_var = np.any(gn_ref != gn_ref[:, 0, np.newaxis], axis=1) + print(f"final no. variants {np.count_nonzero(loc_var)}") + + print("Load final data") + with ProgressBar(): + ds_snps_final = ds_snps_asc[ + ["variant_contig", "variant_position", "variant_allele", "sample_id"] + ].isel(variants=loc_var) + + # init vars for input to bed reader + gn_ref_final = gn_ref[loc_var] + val = gn_ref_final.T + alleles = ds_snps_final["variant_allele"].values + properties = { + "iid": ds_snps_final["sample_id"].values, + "chromosome": ds_snps_final["variant_contig"].values, + "bp_position": ds_snps_final["variant_position"].values, + "allele_1": alleles[:, 0], + "allele_2": alleles[:, 1], + } + + print(f"write plink files to {plink_file_path}") + bed_reader.to_bed( + filepath=bed_file_path, + val=val, + properties=properties, + count_A1=True, + ) + + return plink_file_path + + def biallelic_snps_to_plink( + self, + results_dir, + region: base_params.regions, + n_snps: base_params.n_snps, + thin_offset: base_params.thin_offset = 0, + sample_sets: Optional[base_params.sample_sets] = None, + sample_query: Optional[base_params.sample_query] = None, + sample_indices: Optional[base_params.sample_indices] = None, + site_mask: Optional[base_params.site_mask] = None, + min_minor_ac: Optional[base_params.min_minor_ac] = 0, + max_missing_an: Optional[base_params.max_missing_an] = 0, + random_seed: base_params.random_seed = 42, + inline_array: base_params.inline_array = base_params.inline_array_default, + chunks: base_params.chunks = base_params.chunks_default, + ): + params = dict( + results_dir=results_dir, + region=region, + n_snps=n_snps, + thin_offset=thin_offset, + sample_sets=sample_sets, + sample_query=sample_query, + sample_indices=sample_indices, + site_mask=site_mask, + min_minor_ac=min_minor_ac, + max_missing_an=max_missing_an, + random_seed=random_seed, + ) + # for the sake of getting this going + # and also because i expect sanjay and ali will rework most of this, i will forgo the type checks until later + + filepath = self._biallelic_snps_to_plink( + inline_array=inline_array, chunks=chunks, **params + ) + return filepath diff --git a/malariagen_data/anopheles.py b/malariagen_data/anopheles.py index 1962031e8..c5da16e79 100644 --- a/malariagen_data/anopheles.py +++ b/malariagen_data/anopheles.py @@ -49,6 +49,7 @@ from .anoph.pca import AnophelesPca from .anoph.sample_metadata import AnophelesSampleMetadata, locate_cohorts from .anoph.snp_data import AnophelesSnpData +from .anoph.to_plink import PlinkConverter from .anoph.g123 import AnophelesG123Analysis from .anoph.fst import AnophelesFstAnalysis from .anoph.h12 import AnophelesH12Analysis @@ -105,6 +106,7 @@ class AnophelesDataResource( AnophelesG123Analysis, AnophelesFstAnalysis, AnophelesSnpFrequencyAnalysis, + PlinkConverter, AnophelesPca, AnophelesIgv, AnophelesCnvData, diff --git a/malariagen_data/util.py b/malariagen_data/util.py index 35360c29e..886d67d89 100644 --- a/malariagen_data/util.py +++ b/malariagen_data/util.py @@ -1267,7 +1267,7 @@ def trim_alleles(ac): return mapping -@numba.njit +@numba.njit # if using debugger remove this decorator def apply_allele_mapping(x, mapping, max_allele): """Transform an array x, where the columns correspond to alleles, according to an allele mapping. @@ -1279,7 +1279,9 @@ def apply_allele_mapping(x, mapping, max_allele): n_sites = x.shape[0] n_alleles = x.shape[1] assert mapping.shape[0] == n_sites - assert mapping.shape[1] == n_alleles + assert ( + mapping.shape[1] == n_alleles + ) # these are not the same, work out what's going on - try running code with debugger? or print statementsd # Create output array. out = np.empty(shape=(n_sites, max_allele + 1), dtype=x.dtype) diff --git a/notebooks/plink_convert.ipynb b/notebooks/plink_convert.ipynb new file mode 100644 index 000000000..a3201ccab --- /dev/null +++ b/notebooks/plink_convert.ipynb @@ -0,0 +1,972 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import malariagen_data\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "application/javascript": "(function(root) {\n function now() {\n return new Date();\n }\n\n const force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\nconst JS_MIME_TYPE = 'application/javascript';\n const HTML_MIME_TYPE = 'text/html';\n const EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n const CLASS_NAME = 'output_bokeh rendered_html';\n\n /**\n * Render data to the DOM node\n */\n function render(props, node) {\n const script = 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i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\n} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n const cell = $(document.getElementById(null)).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));", + "application/vnd.bokehjs_load.v0+json": "" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ag3 = malariagen_data.Ag3(pre=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Subsetting to segregating sites: ⠏ (0:00:01.62) count alleles\n", + "Subsetting to segregating sites: ⠴ (0:00:02.14) ascertain segregating sites\n", + "Subsetting to segregating sites: ⠦ (0:00:02.22) ascertained 1,089,159 sites\n", + "thin sites \n", + "thinned to 2,002 sites\n", + "Set up dataset\n", + "[########################################] | 100% Completed | 103.94 ms\n", + "Ensure genotypes vary \n", + "final no. variants 138\n", + "Load final data\n", + "write plink files to /Users/dennistpw/Projects/malariagen-data-python//2L:100000-2000000.2000.0.0.0\n" + ] + }, + { + "data": { + "text/plain": [ + "'/Users/dennistpw/Projects/malariagen-data-python//2L:100000-2000000.2000.0.0.0'" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ag3.biallelic_snps_to_plink(results_dir='/Users/dennistpw/Projects/malariagen-data-python/',\n", + " region='2L:100000-2000000',\n", + " n_snps=2000,\n", + " sample_sets='AG1000G-AO',\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "from collections import Counter\n", + "from typing import Optional, Tuple\n", + "\n", + "import allel # type: ignore\n", + "import numpy as np\n", + "import os\n", + "#import bed_reader\n", + "from dask.diagnostics import ProgressBar\n", + "# import bokeh.plotting\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "import allel\n", + "region='2L:100000-2000000'\n", + "n_snps=2000\n", + "sample_sets='AG1000G-AO'\n", + "ds_snps = ag3.snp_calls(\n", + " sample_sets='AG1000G-AO',\n", + " region=region)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
<xarray.DataArray 'variant_allele' (variants: 1677564, alleles: 4)>\n",
+       "array([[b'C', b'A', b'T', b'G'],\n",
+       "       [b'G', b'A', b'C', b'T'],\n",
+       "       [b'C', b'A', b'T', b'G'],\n",
+       "       ...,\n",
+       "       [b'A', b'C', b'T', b'G'],\n",
+       "       [b'A', b'C', b'T', b'G'],\n",
+       "       [b'A', b'C', b'T', b'G']], dtype='|S1')\n",
+       "Coordinates:\n",
+       "    variant_position  (variants) int32 100000 100001 100002 ... 1999999 2000000\n",
+       "    variant_contig    (variants) uint8 1 1 1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1 1\n",
+       "Dimensions without coordinates: variants, alleles
" + ], + "text/plain": [ + "\n", + "array([[b'C', b'A', b'T', b'G'],\n", + " [b'G', b'A', b'C', b'T'],\n", + " [b'C', b'A', b'T', b'G'],\n", + " ...,\n", + " [b'A', b'C', b'T', b'G'],\n", + " [b'A', b'C', b'T', b'G'],\n", + " [b'A', b'C', b'T', b'G']], dtype='|S1')\n", + "Coordinates:\n", + " variant_position (variants) int32 100000 100001 100002 ... 1999999 2000000\n", + " variant_contig (variants) uint8 1 1 1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1 1\n", + "Dimensions without coordinates: variants, alleles" + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ds_snps['variant_allele'].compute()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "count alleles\n", + "ascertain segregating sites\n", + "ascertained 1,089,159 sites\n" + ] + } + ], + "source": [ + "gt = ds_snps[\"call_genotype\"].data.compute()\n", + "print(\"count alleles\")\n", + "with ProgressBar():\n", + " ac = allel.GenotypeArray(gt).count_alleles(max_allele=3)\n", + " print(\"ascertain segregating sites\")\n", + " n_chroms = ds_snps.dims[\"samples\"] * 2\n", + " an_called = ac.sum(axis=1)\n", + " an_missing = n_chroms - an_called\n", + " min_ref_ac = 0\n", + " max_ref_ac = n_chroms - 0\n", + " # here we choose segregating sites\n", + " loc_sites = (\n", + " (ac[:, 0] >= min_ref_ac)\n", + " & (ac[:, 0] <= max_ref_ac)\n", + " & (an_missing <= 0)\n", + " )\n", + "print(f\"ascertained {np.count_nonzero(loc_sites):,} sites\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Set up dataset\n", + "[########################################] | 100% Completed | 698.99 ms\n", + "Ensure genotypes vary\n", + "final no. variants 67780\n", + "Load final data\n" + ] + } + ], + "source": [ + "#set up dataset with required vars for plink conversion\n", + "print(\"Set up dataset\")\n", + "ds_snps_asc = (\n", + " ds_snps[[\"variant_contig\", \"variant_position\", \"variant_allele\", \"sample_id\", \"call_genotype\"]]\n", + " .isel(alleles=slice(0, 2))\n", + " .sel(variants=loc_sites)\n", + " )\n", + "\n", + "#compute gt ref counts\n", + "gt_asc = ds_snps_asc[\"call_genotype\"].data.compute()\n", + "gn_ref = allel.GenotypeDaskArray(gt_asc).to_n_ref(fill=-127) #what does the fill do\n", + "with ProgressBar():\n", + " gn_ref = gn_ref.compute()\n", + "\n", + "print(\"Ensure genotypes vary\")\n", + "loc_var = np.any(gn_ref != gn_ref[:, 0, np.newaxis], axis=1)\n", + "print(f\"final no. variants {np.count_nonzero(loc_var)}\")\n", + "\n", + "\n", + "print(\"Load final data\")\n", + "with ProgressBar():\n", + " ds_snps_final = (\n", + " ds_snps_asc[[\"variant_contig\", \"variant_position\", \"variant_allele\", \"sample_id\"]]\n", + " .isel(variants=loc_var)\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [], + "source": [ + "def apply_allele_mapping(x, mapping, max_allele):\n", + " \"\"\"Transform an array x, where the columns correspond to alleles,\n", + " according to an allele mapping.\n", + "\n", + " Values from columns in x will be move to different columns in the\n", + " output according to the allele index mapping given.\n", + "\n", + " \"\"\"\n", + " n_sites = x.shape[0]\n", + " n_alleles = x.shape[1]\n", + " assert mapping.shape[0] == n_sites\n", + " assert mapping.shape[1] == n_alleles\n", + "\n", + " # Create output array.\n", + " out = np.empty(shape=(n_sites, max_allele + 1), dtype=x.dtype)\n", + "\n", + " # Iterate over sites.\n", + " for i in range(n_sites):\n", + " # Iterate over alleles.\n", + " for allele_index in range(n_alleles):\n", + " # Find the new index for this allele.\n", + " new_allele_index = mapping[i, allele_index]\n", + "\n", + " # Copy data to the new allele index.\n", + " if new_allele_index >= 0 and new_allele_index <= max_allele:\n", + " out[i, new_allele_index] = x[i, allele_index]\n", + "\n", + " return out\n", + "\n", + "def trim_alleles(ac):\n", + " \"\"\"Remap allele indices to trim out unobserved alleles.\n", + "\n", + " The idea here is that our SNP data includes alleles which\n", + " may not ever be observed, or may not be observed within a\n", + " particular subset of the data. For convenience, it is useful\n", + " to retain only alleles which are observed.\n", + "\n", + " Here we use a given set of allele counts (ac) to identify\n", + " observed alleles and derive a mapping from old allele\n", + " indices to a new set of allele indices.\n", + "\n", + " For example, if alleles 0 and 2 are observed at a given\n", + " site in ac, then 0 will be mapped to 0 and 2 will be mapped\n", + " to 1.\n", + "\n", + " Similarly, if alleles 1 and 3 are observed at a given site\n", + " in ac, then 1 will be mapped to 0 and 3 will be mapped to 1.\n", + "\n", + " \"\"\"\n", + "\n", + " n_variants = ac.shape[0]\n", + " n_alleles = ac.shape[1]\n", + "\n", + " # Create the output array - this is an allele mapping array,\n", + " # that specifies how to recode allele indices.\n", + " mapping = np.empty((n_variants, n_alleles), dtype=np.int32)\n", + "\n", + " # The value of -1 indicates that there is no mapping for\n", + " # a given allele. We fill with -1 so we can then set\n", + " # values where we do observe alleles and can define a\n", + " # mapping.\n", + " mapping[:] = -1\n", + "\n", + " # Iterate over variants.\n", + " for i in range(n_variants):\n", + " # This will be the new index that we are mapping this allele to, if the\n", + " # allele is observed.\n", + " new_allele_index = 0\n", + "\n", + " # Iterate over columns (alleles) in the input array.\n", + " for allele_index in range(n_alleles):\n", + " # Access the count for the jth allele.\n", + " c = ac[i, allele_index]\n", + " if c > 0:\n", + " # We have found a non-zero allele count, remap the allele.\n", + " mapping[i, allele_index] = new_allele_index\n", + "\n", + " # Increment to be ready for the next allele.\n", + " new_allele_index += 1\n", + "\n", + " return mapping" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [], + "source": [ + "region='2L:1001000-2009000',\n" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [], + "source": [ + "ds = ag3.snp_calls(\n", + " region=region,\n", + " sample_sets=sample_sets\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "6ffc36a40b02468e99c7c63e6c186a10", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Compute SNP allele counts: 0%| | 0/20 [00:00 2\u001b[0m variant_allele \u001b[38;5;241m=\u001b[39m \u001b[43mds_bi\u001b[49m[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mvariant_allele\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39mdata\n\u001b[1;32m 3\u001b[0m variant_allele \u001b[38;5;241m=\u001b[39m variant_allele\u001b[38;5;241m.\u001b[39mrechunk((variant_allele\u001b[38;5;241m.\u001b[39mchunks[\u001b[38;5;241m0\u001b[39m], \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m))\n\u001b[1;32m 4\u001b[0m variant_allele_out \u001b[38;5;241m=\u001b[39m da\u001b[38;5;241m.\u001b[39mmap_blocks(\n\u001b[1;32m 5\u001b[0m \u001b[38;5;28;01mlambda\u001b[39;00m block: apply_allele_mapping(block, allele_mapping, max_allele\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m),\n\u001b[1;32m 6\u001b[0m variant_allele,\n\u001b[1;32m 7\u001b[0m dtype\u001b[38;5;241m=\u001b[39mvariant_allele\u001b[38;5;241m.\u001b[39mdtype,\n\u001b[1;32m 8\u001b[0m chunks\u001b[38;5;241m=\u001b[39m(variant_allele\u001b[38;5;241m.\u001b[39mchunks[\u001b[38;5;241m0\u001b[39m], [\u001b[38;5;241m2\u001b[39m]),\n\u001b[1;32m 9\u001b[0m )\n", + "\u001b[0;31mNameError\u001b[0m: name 'ds_bi' is not defined" + ] + } + ], + "source": [ + "import dask.array as da\n", + "variant_allele = ds_bi[\"variant_allele\"].data\n", + "variant_allele = variant_allele.rechunk((variant_allele.chunks[0], -1))\n", + "variant_allele_out = da.map_blocks(\n", + " lambda block: apply_allele_mapping(block, allele_mapping, max_allele=1),\n", + " variant_allele,\n", + " dtype=variant_allele.dtype,\n", + " chunks=(variant_allele.chunks[0], [2]),\n", + ")\n", + "data_vars[\"variant_allele\"] = (\"variants\", \"alleles\"), variant_allele_out\n", + "\n", + "# Store allele counts, transformed, so we don't have to recompute.\n", + "#ac_out = apply_allele_mapping(ac_bi, allele_mapping, max_allele=1)\n", + "#data_vars[\"variant_allele_count\"] = (\"variants\", \"alleles\"), ac_out" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [], + "source": [ + "variant_allele = ds_bi[\"variant_allele\"].data\n", + "variant_allele = variant_allele.rechunk((variant_allele.chunks[0], -1))" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[b'T', b'A', b'C', b'G'],\n", + " [b'G', b'A', b'C', b'T'],\n", + " [b'T', b'A', b'C', b'G'],\n", + " ...,\n", + " [b'G', b'A', b'C', b'T'],\n", + " [b'C', b'A', b'T', b'G'],\n", + " [b'A', b'C', b'T', b'G']], dtype='|S1')" + ] + }, + "execution_count": 67, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "variant_allele.compute()" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[b'T', b'A', b'C', b'G'],\n", + " [b'G', b'A', b'C', b'T'],\n", + " [b'T', b'A', b'C', b'G'],\n", + " ...,\n", + " [b'G', b'A', b'C', b'T'],\n", + " [b'C', b'A', b'T', b'G'],\n", + " [b'A', b'C', b'T', b'G']], dtype='|S1')" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "variant_allele = variant_allele.rechunk((variant_allele.chunks[0], -1))\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + " ds = self.snp_calls(\n", + " region=region,\n", + " sample_sets=sample_sets,\n", + " sample_query=sample_query,\n", + " sample_indices=sample_indices,\n", + " site_mask=site_mask,\n", + " site_class=site_class,\n", + " cohort_size=cohort_size,\n", + " min_cohort_size=min_cohort_size,\n", + " max_cohort_size=max_cohort_size,\n", + " random_seed=random_seed,\n", + " inline_array=inline_array,\n", + " chunks=chunks,\n", + " )\n", + "\n", + " with self._spinner(\"Prepare biallelic SNP calls\"):\n", + " # Subset to biallelic sites.\n", + " ds_bi = ds.isel(variants=loc_bi)\n", + "\n", + " # Start building a new dataset.\n", + " coords: Dict[str, Any] = dict()\n", + " data_vars: Dict[str, Any] = dict()\n", + "\n", + " # Store sample IDs.\n", + " coords[\"sample_id\"] = (\"samples\",), ds_bi[\"sample_id\"].data\n", + "\n", + " # Store contig.\n", + " coords[\"variant_contig\"] = (\"variants\",), ds_bi[\"variant_contig\"].data\n", + "\n", + " # Store position.\n", + " coords[\"variant_position\"] = (\"variants\",), ds_bi[\"variant_position\"].data\n", + "\n", + " # Store alleles, transformed.\n", + " variant_allele = ds_bi[\"variant_allele\"].data\n", + " variant_allele = variant_allele.rechunk((variant_allele.chunks[0], -1))\n", + " variant_allele_out = da.map_blocks(\n", + " lambda block: apply_allele_mapping(block, allele_mapping, max_allele=1),\n", + " variant_allele,\n", + " dtype=variant_allele.dtype,\n", + " chunks=(variant_allele.chunks[0], [2]),\n", + " )\n", + " data_vars[\"variant_allele\"] = (\"variants\", \"alleles\"), variant_allele_out\n", + "\n", + " # Store allele counts, transformed, so we don't have to recompute.\n", + " ac_out = apply_allele_mapping(ac_bi, allele_mapping, max_allele=1)\n", + " data_vars[\"variant_allele_count\"] = (\"variants\", \"alleles\"), ac_out\n", + "\n", + " # Store genotype calls, transformed.\n", + " gt = ds_bi[\"call_genotype\"].data\n", + " gt_out = allel.GenotypeDaskArray(gt).map_alleles(allele_mapping)\n", + " data_vars[\"call_genotype\"] = (\n", + " (\n", + " \"variants\",\n", + " \"samples\",\n", + " \"ploidy\",\n", + " ),\n", + " gt_out.values,\n", + " )" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "malariagen_plink", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.19" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/tests/anoph/test_snp_data.py b/tests/anoph/test_snp_data.py index 3766a58d1..b1df61f70 100644 --- a/tests/anoph/test_snp_data.py +++ b/tests/anoph/test_snp_data.py @@ -90,6 +90,7 @@ def test_open_snp_sites(fixture, api: AnophelesSnpData): assert "variants" in contig_grp variants = contig_grp["variants"] assert "POS" in variants + assert False assert "REF" in variants assert "ALT" in variants From 6afd6080b5f731e8104d31189ef8542f0aa585ba Mon Sep 17 00:00:00 2001 From: Tristan Dennis Date: Thu, 11 Apr 2024 09:44:23 +0100 Subject: [PATCH 02/42] temp fix for avoiding error in mapping all-allele -> biallelic alleles, avoids using dask --- .gitignore | 1 + malariagen_data/anoph/snp_data.py | 13 +- malariagen_data/util.py | 2 +- notebooks/plink_convert.ipynb | 538 +++++++----------------------- 4 files changed, 137 insertions(+), 417 deletions(-) diff --git a/.gitignore b/.gitignore index 1bbe43524..fbd8a3074 100644 --- a/.gitignore +++ b/.gitignore @@ -1,3 +1,4 @@ +debugging_biallelic_snp_calls.ipynb .idea .vscode __pycache__ diff --git a/malariagen_data/anoph/snp_data.py b/malariagen_data/anoph/snp_data.py index 18ae5c3e9..c331a1b58 100644 --- a/malariagen_data/anoph/snp_data.py +++ b/malariagen_data/anoph/snp_data.py @@ -1625,11 +1625,14 @@ def biallelic_snp_calls( # Store alleles, transformed. variant_allele = ds_bi["variant_allele"].data variant_allele = variant_allele.rechunk((variant_allele.chunks[0], -1)) - variant_allele_out = da.map_blocks( - lambda block: apply_allele_mapping(block, allele_mapping, max_allele=1), - variant_allele, - dtype=variant_allele.dtype, - chunks=(variant_allele.chunks[0], [2]), + # variant_allele_out = da.map_blocks( + # lambda block: apply_allele_mapping(block, allele_mapping, max_allele=1), + # variant_allele, + # dtype=variant_allele.dtype, + # chunks=(variant_allele.chunks[0], [2]), + # ) + variant_allele_out = apply_allele_mapping( + variant_allele.compute(), allele_mapping, max_allele=1 ) data_vars["variant_allele"] = ("variants", "alleles"), variant_allele_out diff --git a/malariagen_data/util.py b/malariagen_data/util.py index 886d67d89..cfa3bed96 100644 --- a/malariagen_data/util.py +++ b/malariagen_data/util.py @@ -1267,7 +1267,7 @@ def trim_alleles(ac): return mapping -@numba.njit # if using debugger remove this decorator +@numba.njit def apply_allele_mapping(x, mapping, max_allele): """Transform an array x, where the columns correspond to alleles, according to an allele mapping. diff --git a/notebooks/plink_convert.ipynb b/notebooks/plink_convert.ipynb index a3201ccab..07c403ead 100644 --- a/notebooks/plink_convert.ipynb +++ b/notebooks/plink_convert.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -11,7 +11,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -24,85 +24,97 @@ } ], "source": [ - "ag3 = malariagen_data.Ag3(pre=True)" + "ag3 = malariagen_data.Ag3(pre=True)\n", + "\n", + "ag3.biallelic_snps_to_plink(results_dir='/Users/dennistpw/Projects/malariagen-data-python/',\n", + " region='2L:100000-2000000',\n", + " n_snps=2000,\n", + " sample_sets='AG1000G-AO',\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "region='2L:1001000-2009000',\n" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [], + "source": [ + "ds = ag3.snp_calls(\n", + " region=region,\n", + " sample_sets=sample_sets\n", + ")" ] }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 59, "metadata": {}, "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Subsetting to segregating sites: ⠏ (0:00:01.62) count alleles\n", - "Subsetting to segregating sites: ⠴ (0:00:02.14) ascertain segregating sites\n", - "Subsetting to segregating sites: ⠦ (0:00:02.22) ascertained 1,089,159 sites\n", - "thin sites \n", - "thinned to 2,002 sites\n", - "Set up dataset\n", - "[########################################] | 100% Completed | 103.94 ms\n", - "Ensure genotypes vary \n", - "final no. variants 138\n", - "Load final data\n", - "write plink files to /Users/dennistpw/Projects/malariagen-data-python//2L:100000-2000000.2000.0.0.0\n" - ] - }, { "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "4f5d7aa458d54e93af6242af7790dc9b", + "version_major": 2, + "version_minor": 0 + }, "text/plain": [ - "'/Users/dennistpw/Projects/malariagen-data-python//2L:100000-2000000.2000.0.0.0'" + "Compute SNP allele counts: 0%| | 0/30 [00:00
<xarray.DataArray 'variant_allele' (variants: 1677564, alleles: 4)>\n",
-       "array([[b'C', b'A', b'T', b'G'],\n",
+       "
<xarray.DataArray 'variant_allele' (variants: 120913, alleles: 4)>\n",
+       "array([[b'G', b'A', b'C', b'T'],\n",
+       "       [b'A', b'C', b'T', b'G'],\n",
        "       [b'G', b'A', b'C', b'T'],\n",
-       "       [b'C', b'A', b'T', b'G'],\n",
        "       ...,\n",
-       "       [b'A', b'C', b'T', b'G'],\n",
-       "       [b'A', b'C', b'T', b'G'],\n",
-       "       [b'A', b'C', b'T', b'G']], dtype='|S1')\n",
+       "       [b'G', b'A', b'C', b'T'],\n",
+       "       [b'C', b'A', b'T', b'G'],\n",
+       "       [b'T', b'A', b'C', b'G']], dtype='|S1')\n",
        "Coordinates:\n",
-       "    variant_position  (variants) int32 100000 100001 100002 ... 1999999 2000000\n",
+       "    variant_position  (variants) int32 100092 100095 100109 ... 1999872 1999929\n",
        "    variant_contig    (variants) uint8 1 1 1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1 1\n",
-       "Dimensions without coordinates: variants, alleles
    • variant_position
      (variants)
      int32
      100092 100095 ... 1999872 1999929
      array([ 100092,  100095,  100109, ..., 1999839, 1999872, 1999929],\n",
+       "      dtype=int32)
    • variant_contig
      (variants)
      uint8
      1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1
      array([1, 1, 1, ..., 1, 1, 1], dtype=uint8)
      • " ], "text/plain": [ - "\n", - "array([[b'C', b'A', b'T', b'G'],\n", + "\n", + "array([[b'G', b'A', b'C', b'T'],\n", + " [b'A', b'C', b'T', b'G'],\n", " [b'G', b'A', b'C', b'T'],\n", - " [b'C', b'A', b'T', b'G'],\n", " ...,\n", - " [b'A', b'C', b'T', b'G'],\n", - " [b'A', b'C', b'T', b'G'],\n", - " [b'A', b'C', b'T', b'G']], dtype='|S1')\n", + " [b'G', b'A', b'C', b'T'],\n", + " [b'C', b'A', b'T', b'G'],\n", + " [b'T', b'A', b'C', b'G']], dtype='|S1')\n", "Coordinates:\n", - " variant_position (variants) int32 100000 100001 100002 ... 1999999 2000000\n", + " variant_position (variants) int32 100092 100095 100109 ... 1999872 1999929\n", " variant_contig (variants) uint8 1 1 1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1 1\n", "Dimensions without coordinates: variants, alleles" ] }, - "execution_count": 51, + "execution_count": 94, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "ds_snps['variant_allele'].compute()" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "count alleles\n", - "ascertain segregating sites\n", - "ascertained 1,089,159 sites\n" - ] - } - ], - "source": [ - "gt = ds_snps[\"call_genotype\"].data.compute()\n", - "print(\"count alleles\")\n", - "with ProgressBar():\n", - " ac = allel.GenotypeArray(gt).count_alleles(max_allele=3)\n", - " print(\"ascertain segregating sites\")\n", - " n_chroms = ds_snps.dims[\"samples\"] * 2\n", - " an_called = ac.sum(axis=1)\n", - " an_missing = n_chroms - an_called\n", - " min_ref_ac = 0\n", - " max_ref_ac = n_chroms - 0\n", - " # here we choose segregating sites\n", - " loc_sites = (\n", - " (ac[:, 0] >= min_ref_ac)\n", - " & (ac[:, 0] <= max_ref_ac)\n", - " & (an_missing <= 0)\n", - " )\n", - "print(f\"ascertained {np.count_nonzero(loc_sites):,} sites\")\n" + "ds_bi['variant_allele'].compute()" ] }, { "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set up dataset\n", - "[########################################] | 100% Completed | 698.99 ms\n", - "Ensure genotypes vary\n", - "final no. variants 67780\n", - "Load final data\n" - ] - } - ], - "source": [ - "#set up dataset with required vars for plink conversion\n", - "print(\"Set up dataset\")\n", - "ds_snps_asc = (\n", - " ds_snps[[\"variant_contig\", \"variant_position\", \"variant_allele\", \"sample_id\", \"call_genotype\"]]\n", - " .isel(alleles=slice(0, 2))\n", - " .sel(variants=loc_sites)\n", - " )\n", - "\n", - "#compute gt ref counts\n", - "gt_asc = ds_snps_asc[\"call_genotype\"].data.compute()\n", - "gn_ref = allel.GenotypeDaskArray(gt_asc).to_n_ref(fill=-127) #what does the fill do\n", - "with ProgressBar():\n", - " gn_ref = gn_ref.compute()\n", - "\n", - "print(\"Ensure genotypes vary\")\n", - "loc_var = np.any(gn_ref != gn_ref[:, 0, np.newaxis], axis=1)\n", - "print(f\"final no. variants {np.count_nonzero(loc_var)}\")\n", - "\n", - "\n", - "print(\"Load final data\")\n", - "with ProgressBar():\n", - " ds_snps_final = (\n", - " ds_snps_asc[[\"variant_contig\", \"variant_position\", \"variant_allele\", \"sample_id\"]]\n", - " .isel(variants=loc_var)\n", - " )" - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "metadata": {}, - "outputs": [], - "source": [ - "def apply_allele_mapping(x, mapping, max_allele):\n", - " \"\"\"Transform an array x, where the columns correspond to alleles,\n", - " according to an allele mapping.\n", - "\n", - " Values from columns in x will be move to different columns in the\n", - " output according to the allele index mapping given.\n", - "\n", - " \"\"\"\n", - " n_sites = x.shape[0]\n", - " n_alleles = x.shape[1]\n", - " assert mapping.shape[0] == n_sites\n", - " assert mapping.shape[1] == n_alleles\n", - "\n", - " # Create output array.\n", - " out = np.empty(shape=(n_sites, max_allele + 1), dtype=x.dtype)\n", - "\n", - " # Iterate over sites.\n", - " for i in range(n_sites):\n", - " # Iterate over alleles.\n", - " for allele_index in range(n_alleles):\n", - " # Find the new index for this allele.\n", - " new_allele_index = mapping[i, allele_index]\n", - "\n", - " # Copy data to the new allele index.\n", - " if new_allele_index >= 0 and new_allele_index <= max_allele:\n", - " out[i, new_allele_index] = x[i, allele_index]\n", - "\n", - " return out\n", - "\n", - "def trim_alleles(ac):\n", - " \"\"\"Remap allele indices to trim out unobserved alleles.\n", - "\n", - " The idea here is that our SNP data includes alleles which\n", - " may not ever be observed, or may not be observed within a\n", - " particular subset of the data. For convenience, it is useful\n", - " to retain only alleles which are observed.\n", - "\n", - " Here we use a given set of allele counts (ac) to identify\n", - " observed alleles and derive a mapping from old allele\n", - " indices to a new set of allele indices.\n", - "\n", - " For example, if alleles 0 and 2 are observed at a given\n", - " site in ac, then 0 will be mapped to 0 and 2 will be mapped\n", - " to 1.\n", - "\n", - " Similarly, if alleles 1 and 3 are observed at a given site\n", - " in ac, then 1 will be mapped to 0 and 3 will be mapped to 1.\n", - "\n", - " \"\"\"\n", - "\n", - " n_variants = ac.shape[0]\n", - " n_alleles = ac.shape[1]\n", - "\n", - " # Create the output array - this is an allele mapping array,\n", - " # that specifies how to recode allele indices.\n", - " mapping = np.empty((n_variants, n_alleles), dtype=np.int32)\n", - "\n", - " # The value of -1 indicates that there is no mapping for\n", - " # a given allele. We fill with -1 so we can then set\n", - " # values where we do observe alleles and can define a\n", - " # mapping.\n", - " mapping[:] = -1\n", - "\n", - " # Iterate over variants.\n", - " for i in range(n_variants):\n", - " # This will be the new index that we are mapping this allele to, if the\n", - " # allele is observed.\n", - " new_allele_index = 0\n", - "\n", - " # Iterate over columns (alleles) in the input array.\n", - " for allele_index in range(n_alleles):\n", - " # Access the count for the jth allele.\n", - " c = ac[i, allele_index]\n", - " if c > 0:\n", - " # We have found a non-zero allele count, remap the allele.\n", - " mapping[i, allele_index] = new_allele_index\n", - "\n", - " # Increment to be ready for the next allele.\n", - " new_allele_index += 1\n", - "\n", - " return mapping" - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "metadata": {}, - "outputs": [], - "source": [ - "region='2L:1001000-2009000',\n" - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "metadata": {}, - "outputs": [], - "source": [ - "ds = ag3.snp_calls(\n", - " region=region,\n", - " sample_sets=sample_sets\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 51, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "6ffc36a40b02468e99c7c63e6c186a10", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Compute SNP allele counts: 0%| | 0/20 [00:00 2\u001b[0m variant_allele \u001b[38;5;241m=\u001b[39m \u001b[43mds_bi\u001b[49m[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mvariant_allele\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39mdata\n\u001b[1;32m 3\u001b[0m variant_allele \u001b[38;5;241m=\u001b[39m variant_allele\u001b[38;5;241m.\u001b[39mrechunk((variant_allele\u001b[38;5;241m.\u001b[39mchunks[\u001b[38;5;241m0\u001b[39m], \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m))\n\u001b[1;32m 4\u001b[0m variant_allele_out \u001b[38;5;241m=\u001b[39m da\u001b[38;5;241m.\u001b[39mmap_blocks(\n\u001b[1;32m 5\u001b[0m \u001b[38;5;28;01mlambda\u001b[39;00m block: apply_allele_mapping(block, allele_mapping, max_allele\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m),\n\u001b[1;32m 6\u001b[0m variant_allele,\n\u001b[1;32m 7\u001b[0m dtype\u001b[38;5;241m=\u001b[39mvariant_allele\u001b[38;5;241m.\u001b[39mdtype,\n\u001b[1;32m 8\u001b[0m chunks\u001b[38;5;241m=\u001b[39m(variant_allele\u001b[38;5;241m.\u001b[39mchunks[\u001b[38;5;241m0\u001b[39m], [\u001b[38;5;241m2\u001b[39m]),\n\u001b[1;32m 9\u001b[0m )\n", - "\u001b[0;31mNameError\u001b[0m: name 'ds_bi' is not defined" + "\u001b[0;31mAssertionError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[90], line 10\u001b[0m\n\u001b[1;32m 3\u001b[0m variant_allele \u001b[38;5;241m=\u001b[39m variant_allele\u001b[38;5;241m.\u001b[39mrechunk((variant_allele\u001b[38;5;241m.\u001b[39mchunks[\u001b[38;5;241m0\u001b[39m], \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m))\n\u001b[1;32m 4\u001b[0m variant_allele_out \u001b[38;5;241m=\u001b[39m da\u001b[38;5;241m.\u001b[39mmap_blocks(\n\u001b[1;32m 5\u001b[0m \u001b[38;5;28;01mlambda\u001b[39;00m block: apply_allele_mapping(block, allele_mapping, max_allele\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m),\n\u001b[1;32m 6\u001b[0m variant_allele,\n\u001b[1;32m 7\u001b[0m dtype\u001b[38;5;241m=\u001b[39mvariant_allele\u001b[38;5;241m.\u001b[39mdtype,\n\u001b[1;32m 8\u001b[0m chunks\u001b[38;5;241m=\u001b[39m(variant_allele\u001b[38;5;241m.\u001b[39mchunks[\u001b[38;5;241m0\u001b[39m], [\u001b[38;5;241m2\u001b[39m]),\n\u001b[1;32m 9\u001b[0m )\n\u001b[0;32m---> 10\u001b[0m \u001b[43mvariant_allele_out\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcompute\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 11\u001b[0m \u001b[38;5;66;03m# Store allele counts, transformed, so we don't have to recompute.\u001b[39;00m\n\u001b[1;32m 12\u001b[0m \u001b[38;5;66;03m#ac_out = apply_allele_mapping(ac_bi, allele_mapping, max_allele=1)\u001b[39;00m\n\u001b[1;32m 13\u001b[0m \u001b[38;5;66;03m#data_vars[\"variant_allele_count\"] = (\"variants\", \"alleles\"), ac_out\u001b[39;00m\n", + "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/dask/base.py:314\u001b[0m, in \u001b[0;36mDaskMethodsMixin.compute\u001b[0;34m(self, **kwargs)\u001b[0m\n\u001b[1;32m 290\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mcompute\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m 291\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Compute this dask collection\u001b[39;00m\n\u001b[1;32m 292\u001b[0m \n\u001b[1;32m 293\u001b[0m \u001b[38;5;124;03m This turns a lazy Dask collection into its in-memory equivalent.\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 312\u001b[0m \u001b[38;5;124;03m dask.compute\u001b[39;00m\n\u001b[1;32m 313\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m--> 314\u001b[0m (result,) \u001b[38;5;241m=\u001b[39m \u001b[43mcompute\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtraverse\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 315\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m result\n", + "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/dask/base.py:599\u001b[0m, in \u001b[0;36mcompute\u001b[0;34m(traverse, optimize_graph, scheduler, get, *args, **kwargs)\u001b[0m\n\u001b[1;32m 596\u001b[0m keys\u001b[38;5;241m.\u001b[39mappend(x\u001b[38;5;241m.\u001b[39m__dask_keys__())\n\u001b[1;32m 597\u001b[0m postcomputes\u001b[38;5;241m.\u001b[39mappend(x\u001b[38;5;241m.\u001b[39m__dask_postcompute__())\n\u001b[0;32m--> 599\u001b[0m results \u001b[38;5;241m=\u001b[39m \u001b[43mschedule\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdsk\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkeys\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 600\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m repack([f(r, \u001b[38;5;241m*\u001b[39ma) \u001b[38;5;28;01mfor\u001b[39;00m r, (f, a) \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mzip\u001b[39m(results, postcomputes)])\n", + "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/dask/threaded.py:89\u001b[0m, in \u001b[0;36mget\u001b[0;34m(dsk, keys, cache, num_workers, pool, **kwargs)\u001b[0m\n\u001b[1;32m 86\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(pool, multiprocessing\u001b[38;5;241m.\u001b[39mpool\u001b[38;5;241m.\u001b[39mPool):\n\u001b[1;32m 87\u001b[0m pool \u001b[38;5;241m=\u001b[39m MultiprocessingPoolExecutor(pool)\n\u001b[0;32m---> 89\u001b[0m results \u001b[38;5;241m=\u001b[39m \u001b[43mget_async\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 90\u001b[0m \u001b[43m \u001b[49m\u001b[43mpool\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msubmit\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 91\u001b[0m \u001b[43m \u001b[49m\u001b[43mpool\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_max_workers\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 92\u001b[0m \u001b[43m \u001b[49m\u001b[43mdsk\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 93\u001b[0m \u001b[43m \u001b[49m\u001b[43mkeys\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 94\u001b[0m \u001b[43m \u001b[49m\u001b[43mcache\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcache\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 95\u001b[0m \u001b[43m \u001b[49m\u001b[43mget_id\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m_thread_get_id\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 96\u001b[0m \u001b[43m \u001b[49m\u001b[43mpack_exception\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpack_exception\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 97\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 98\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 100\u001b[0m \u001b[38;5;66;03m# Cleanup pools associated to dead threads\u001b[39;00m\n\u001b[1;32m 101\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m pools_lock:\n", + "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/dask/local.py:511\u001b[0m, in \u001b[0;36mget_async\u001b[0;34m(submit, num_workers, dsk, result, cache, get_id, rerun_exceptions_locally, pack_exception, raise_exception, callbacks, dumps, loads, chunksize, **kwargs)\u001b[0m\n\u001b[1;32m 509\u001b[0m _execute_task(task, data) \u001b[38;5;66;03m# Re-execute locally\u001b[39;00m\n\u001b[1;32m 510\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 511\u001b[0m \u001b[43mraise_exception\u001b[49m\u001b[43m(\u001b[49m\u001b[43mexc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtb\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 512\u001b[0m res, worker_id \u001b[38;5;241m=\u001b[39m loads(res_info)\n\u001b[1;32m 513\u001b[0m state[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcache\u001b[39m\u001b[38;5;124m\"\u001b[39m][key] \u001b[38;5;241m=\u001b[39m res\n", + "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/dask/local.py:319\u001b[0m, in \u001b[0;36mreraise\u001b[0;34m(exc, tb)\u001b[0m\n\u001b[1;32m 317\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m exc\u001b[38;5;241m.\u001b[39m__traceback__ \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m tb:\n\u001b[1;32m 318\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m exc\u001b[38;5;241m.\u001b[39mwith_traceback(tb)\n\u001b[0;32m--> 319\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m exc\n", + "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/dask/local.py:224\u001b[0m, in \u001b[0;36mexecute_task\u001b[0;34m(key, task_info, dumps, loads, get_id, pack_exception)\u001b[0m\n\u001b[1;32m 222\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 223\u001b[0m task, data \u001b[38;5;241m=\u001b[39m loads(task_info)\n\u001b[0;32m--> 224\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43m_execute_task\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtask\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdata\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 225\u001b[0m \u001b[38;5;28mid\u001b[39m \u001b[38;5;241m=\u001b[39m get_id()\n\u001b[1;32m 226\u001b[0m result \u001b[38;5;241m=\u001b[39m dumps((result, \u001b[38;5;28mid\u001b[39m))\n", + "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/dask/core.py:119\u001b[0m, in \u001b[0;36m_execute_task\u001b[0;34m(arg, cache, dsk)\u001b[0m\n\u001b[1;32m 115\u001b[0m func, args \u001b[38;5;241m=\u001b[39m arg[\u001b[38;5;241m0\u001b[39m], arg[\u001b[38;5;241m1\u001b[39m:]\n\u001b[1;32m 116\u001b[0m \u001b[38;5;66;03m# Note: Don't assign the subtask results to a variable. numpy detects\u001b[39;00m\n\u001b[1;32m 117\u001b[0m \u001b[38;5;66;03m# temporaries by their reference count and can execute certain\u001b[39;00m\n\u001b[1;32m 118\u001b[0m \u001b[38;5;66;03m# operations in-place.\u001b[39;00m\n\u001b[0;32m--> 119\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m_execute_task\u001b[49m\u001b[43m(\u001b[49m\u001b[43ma\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcache\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43ma\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 120\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m ishashable(arg):\n\u001b[1;32m 121\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m arg\n", + "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/dask/optimization.py:990\u001b[0m, in \u001b[0;36mSubgraphCallable.__call__\u001b[0;34m(self, *args)\u001b[0m\n\u001b[1;32m 988\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(args) \u001b[38;5;241m==\u001b[39m \u001b[38;5;28mlen\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39minkeys):\n\u001b[1;32m 989\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mExpected \u001b[39m\u001b[38;5;132;01m%d\u001b[39;00m\u001b[38;5;124m args, got \u001b[39m\u001b[38;5;132;01m%d\u001b[39;00m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m%\u001b[39m (\u001b[38;5;28mlen\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39minkeys), \u001b[38;5;28mlen\u001b[39m(args)))\n\u001b[0;32m--> 990\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mcore\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdsk\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moutkey\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mdict\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mzip\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43minkeys\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/dask/core.py:149\u001b[0m, in \u001b[0;36mget\u001b[0;34m(dsk, out, cache)\u001b[0m\n\u001b[1;32m 147\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m key \u001b[38;5;129;01min\u001b[39;00m toposort(dsk):\n\u001b[1;32m 148\u001b[0m task \u001b[38;5;241m=\u001b[39m dsk[key]\n\u001b[0;32m--> 149\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43m_execute_task\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtask\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcache\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 150\u001b[0m cache[key] \u001b[38;5;241m=\u001b[39m result\n\u001b[1;32m 151\u001b[0m result \u001b[38;5;241m=\u001b[39m _execute_task(out, cache)\n", + "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/dask/core.py:119\u001b[0m, in \u001b[0;36m_execute_task\u001b[0;34m(arg, cache, dsk)\u001b[0m\n\u001b[1;32m 115\u001b[0m func, args \u001b[38;5;241m=\u001b[39m arg[\u001b[38;5;241m0\u001b[39m], arg[\u001b[38;5;241m1\u001b[39m:]\n\u001b[1;32m 116\u001b[0m \u001b[38;5;66;03m# Note: Don't assign the subtask results to a variable. numpy detects\u001b[39;00m\n\u001b[1;32m 117\u001b[0m \u001b[38;5;66;03m# temporaries by their reference count and can execute certain\u001b[39;00m\n\u001b[1;32m 118\u001b[0m \u001b[38;5;66;03m# operations in-place.\u001b[39;00m\n\u001b[0;32m--> 119\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m_execute_task\u001b[49m\u001b[43m(\u001b[49m\u001b[43ma\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcache\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43ma\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 120\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m ishashable(arg):\n\u001b[1;32m 121\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m arg\n", + "Cell \u001b[0;32mIn[90], line 5\u001b[0m, in \u001b[0;36m\u001b[0;34m(block)\u001b[0m\n\u001b[1;32m 2\u001b[0m variant_allele \u001b[38;5;241m=\u001b[39m ds_bi[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mvariant_allele\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39mdata\n\u001b[1;32m 3\u001b[0m variant_allele \u001b[38;5;241m=\u001b[39m variant_allele\u001b[38;5;241m.\u001b[39mrechunk((variant_allele\u001b[38;5;241m.\u001b[39mchunks[\u001b[38;5;241m0\u001b[39m], \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m))\n\u001b[1;32m 4\u001b[0m variant_allele_out \u001b[38;5;241m=\u001b[39m da\u001b[38;5;241m.\u001b[39mmap_blocks(\n\u001b[0;32m----> 5\u001b[0m \u001b[38;5;28;01mlambda\u001b[39;00m block: \u001b[43mapply_allele_mapping\u001b[49m\u001b[43m(\u001b[49m\u001b[43mblock\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mallele_mapping\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmax_allele\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m)\u001b[49m,\n\u001b[1;32m 6\u001b[0m variant_allele,\n\u001b[1;32m 7\u001b[0m dtype\u001b[38;5;241m=\u001b[39mvariant_allele\u001b[38;5;241m.\u001b[39mdtype,\n\u001b[1;32m 8\u001b[0m chunks\u001b[38;5;241m=\u001b[39m(variant_allele\u001b[38;5;241m.\u001b[39mchunks[\u001b[38;5;241m0\u001b[39m], [\u001b[38;5;241m2\u001b[39m]),\n\u001b[1;32m 9\u001b[0m )\n\u001b[1;32m 10\u001b[0m variant_allele_out\u001b[38;5;241m.\u001b[39mcompute()\n\u001b[1;32m 11\u001b[0m \u001b[38;5;66;03m# Store allele counts, transformed, so we don't have to recompute.\u001b[39;00m\n\u001b[1;32m 12\u001b[0m \u001b[38;5;66;03m#ac_out = apply_allele_mapping(ac_bi, allele_mapping, max_allele=1)\u001b[39;00m\n\u001b[1;32m 13\u001b[0m \u001b[38;5;66;03m#data_vars[\"variant_allele_count\"] = (\"variants\", \"alleles\"), ac_out\u001b[39;00m\n", + "Cell \u001b[0;32mIn[57], line 11\u001b[0m, in \u001b[0;36mapply_allele_mapping\u001b[0;34m(x, mapping, max_allele)\u001b[0m\n\u001b[1;32m 9\u001b[0m n_sites \u001b[38;5;241m=\u001b[39m x\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m0\u001b[39m]\n\u001b[1;32m 10\u001b[0m n_alleles \u001b[38;5;241m=\u001b[39m x\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m1\u001b[39m]\n\u001b[0;32m---> 11\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m mapping\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m0\u001b[39m] \u001b[38;5;241m==\u001b[39m n_sites\n\u001b[1;32m 12\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m mapping\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m1\u001b[39m] \u001b[38;5;241m==\u001b[39m n_alleles\n\u001b[1;32m 14\u001b[0m \u001b[38;5;66;03m# Create output array.\u001b[39;00m\n", + "\u001b[0;31mAssertionError\u001b[0m: " ] } ], @@ -812,139 +602,65 @@ " dtype=variant_allele.dtype,\n", " chunks=(variant_allele.chunks[0], [2]),\n", ")\n", - "data_vars[\"variant_allele\"] = (\"variants\", \"alleles\"), variant_allele_out\n", - "\n", + "variant_allele_out.compute()\n", "# Store allele counts, transformed, so we don't have to recompute.\n", "#ac_out = apply_allele_mapping(ac_bi, allele_mapping, max_allele=1)\n", "#data_vars[\"variant_allele_count\"] = (\"variants\", \"alleles\"), ac_out" ] }, { - "cell_type": "code", - "execution_count": 64, + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "variant_allele = ds_bi[\"variant_allele\"].data\n", - "variant_allele = variant_allele.rechunk((variant_allele.chunks[0], -1))" + "When we try to select only biallelic snps, we\n", + "- count the number of alleles\n", + "- select only" ] }, { "cell_type": "code", - "execution_count": 67, + "execution_count": 95, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "array([[b'T', b'A', b'C', b'G'],\n", - " [b'G', b'A', b'C', b'T'],\n", - " [b'T', b'A', b'C', b'G'],\n", + "array([[ 0, 1, -1, -1],\n", + " [ 0, -1, -1, 1],\n", + " [ 0, 1, -1, -1],\n", " ...,\n", - " [b'G', b'A', b'C', b'T'],\n", - " [b'C', b'A', b'T', b'G'],\n", - " [b'A', b'C', b'T', b'G']], dtype='|S1')" + " [ 0, -1, -1, 1],\n", + " [ 0, -1, 1, -1],\n", + " [ 0, -1, 1, -1]], dtype=int32)" ] }, - "execution_count": 67, + "execution_count": 95, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "variant_allele.compute()" + "allele_mapping" ] }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 92, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "array([[b'T', b'A', b'C', b'G'],\n", - " [b'G', b'A', b'C', b'T'],\n", - " [b'T', b'A', b'C', b'G'],\n", - " ...,\n", - " [b'G', b'A', b'C', b'T'],\n", - " [b'C', b'A', b'T', b'G'],\n", - " [b'A', b'C', b'T', b'G']], dtype='|S1')" + "120913" ] }, - "execution_count": 32, + "execution_count": 92, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "variant_allele = variant_allele.rechunk((variant_allele.chunks[0], -1))\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - " ds = self.snp_calls(\n", - " region=region,\n", - " sample_sets=sample_sets,\n", - " sample_query=sample_query,\n", - " sample_indices=sample_indices,\n", - " site_mask=site_mask,\n", - " site_class=site_class,\n", - " cohort_size=cohort_size,\n", - " min_cohort_size=min_cohort_size,\n", - " max_cohort_size=max_cohort_size,\n", - " random_seed=random_seed,\n", - " inline_array=inline_array,\n", - " chunks=chunks,\n", - " )\n", - "\n", - " with self._spinner(\"Prepare biallelic SNP calls\"):\n", - " # Subset to biallelic sites.\n", - " ds_bi = ds.isel(variants=loc_bi)\n", - "\n", - " # Start building a new dataset.\n", - " coords: Dict[str, Any] = dict()\n", - " data_vars: Dict[str, Any] = dict()\n", - "\n", - " # Store sample IDs.\n", - " coords[\"sample_id\"] = (\"samples\",), ds_bi[\"sample_id\"].data\n", - "\n", - " # Store contig.\n", - " coords[\"variant_contig\"] = (\"variants\",), ds_bi[\"variant_contig\"].data\n", - "\n", - " # Store position.\n", - " coords[\"variant_position\"] = (\"variants\",), ds_bi[\"variant_position\"].data\n", - "\n", - " # Store alleles, transformed.\n", - " variant_allele = ds_bi[\"variant_allele\"].data\n", - " variant_allele = variant_allele.rechunk((variant_allele.chunks[0], -1))\n", - " variant_allele_out = da.map_blocks(\n", - " lambda block: apply_allele_mapping(block, allele_mapping, max_allele=1),\n", - " variant_allele,\n", - " dtype=variant_allele.dtype,\n", - " chunks=(variant_allele.chunks[0], [2]),\n", - " )\n", - " data_vars[\"variant_allele\"] = (\"variants\", \"alleles\"), variant_allele_out\n", - "\n", - " # Store allele counts, transformed, so we don't have to recompute.\n", - " ac_out = apply_allele_mapping(ac_bi, allele_mapping, max_allele=1)\n", - " data_vars[\"variant_allele_count\"] = (\"variants\", \"alleles\"), ac_out\n", - "\n", - " # Store genotype calls, transformed.\n", - " gt = ds_bi[\"call_genotype\"].data\n", - " gt_out = allel.GenotypeDaskArray(gt).map_alleles(allele_mapping)\n", - " data_vars[\"call_genotype\"] = (\n", - " (\n", - " \"variants\",\n", - " \"samples\",\n", - " \"ploidy\",\n", - " ),\n", - " gt_out.values,\n", - " )" + "variant_allele.shape[0]" ] } ], From 32686409f3d0efa3953d4c3bf3672d29a55c0c16 Mon Sep 17 00:00:00 2001 From: Tristan Dennis Date: Thu, 11 Apr 2024 11:52:34 +0100 Subject: [PATCH 03/42] updated plink converter to use biallelic_snp_calls with tmp. amended variant_allele mapping --- malariagen_data/anoph/to_plink.py | 18 +- notebooks/plink_convert.ipynb | 529 ++---------------------------- 2 files changed, 29 insertions(+), 518 deletions(-) diff --git a/malariagen_data/anoph/to_plink.py b/malariagen_data/anoph/to_plink.py index 0537af25c..010ad6375 100644 --- a/malariagen_data/anoph/to_plink.py +++ b/malariagen_data/anoph/to_plink.py @@ -71,7 +71,7 @@ def _biallelic_snps_to_plink( return plink_file_path # get snps - ds_snps = self.snp_calls( + ds_snps = self.biallelic_snp_calls( region=region, sample_sets=sample_sets, sample_query=sample_query, @@ -82,6 +82,7 @@ def _biallelic_snps_to_plink( random_seed=random_seed, inline_array=inline_array, chunks=chunks, + n_snps=n_snps, ) # filter snps on segregating sites @@ -104,11 +105,11 @@ def _biallelic_snps_to_plink( ) print(f"ascertained {np.count_nonzero(loc_sites):,} sites") - print("thin sites") - ix_sites = np.nonzero(loc_sites)[0] - thin_step = max(ix_sites.shape[0] // n_snps, 1) - ix_sites_thinned = ix_sites[thin_offset::thin_step] - print(f"thinned to {np.count_nonzero(ix_sites_thinned):,} sites") + # print("thin sites") + # ix_sites = np.nonzero(loc_sites)[0] + # thin_step = max(ix_sites.shape[0] // n_snps, 1) + # ix_sites_thinned = ix_sites[thin_offset::thin_step] + # print(f"thinned to {np.count_nonzero(ix_sites_thinned):,} sites") # set up dataset with required vars for plink conversion print("Set up dataset") @@ -121,9 +122,8 @@ def _biallelic_snps_to_plink( "sample_id", "call_genotype", ] - ] - .isel(alleles=slice(0, 2)) - .sel(variants=ix_sites_thinned) + ].isel(alleles=slice(0, 2)) + # .sel(variants=ix_sites_thinned) ) # compute gt ref counts diff --git a/notebooks/plink_convert.ipynb b/notebooks/plink_convert.ipynb index 07c403ead..473da2c85 100644 --- a/notebooks/plink_convert.ipynb +++ b/notebooks/plink_convert.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -11,18 +11,9 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "application/javascript": "(function(root) {\n function now() {\n return new Date();\n }\n\n const force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\nconst JS_MIME_TYPE = 'application/javascript';\n const HTML_MIME_TYPE = 'text/html';\n const EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n const CLASS_NAME = 'output_bokeh rendered_html';\n\n /**\n * Render data to the DOM node\n */\n function render(props, node) {\n const script = document.createElement(\"script\");\n node.appendChild(script);\n }\n\n /**\n * Handle when an output is cleared or removed\n */\n function handleClearOutput(event, handle) {\n const cell = handle.cell;\n\n const id = cell.output_area._bokeh_element_id;\n const server_id = cell.output_area._bokeh_server_id;\n // Clean up Bokeh references\n if (id != null && id in Bokeh.index) {\n Bokeh.index[id].model.document.clear();\n delete Bokeh.index[id];\n }\n\n if (server_id !== undefined) {\n // Clean up Bokeh references\n const cmd_clean = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n cell.notebook.kernel.execute(cmd_clean, {\n iopub: {\n output: function(msg) {\n const id = msg.content.text.trim();\n if (id in Bokeh.index) {\n Bokeh.index[id].model.document.clear();\n delete Bokeh.index[id];\n }\n }\n }\n });\n // Destroy server and session\n const cmd_destroy = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n cell.notebook.kernel.execute(cmd_destroy);\n }\n }\n\n /**\n * Handle when a new output is added\n */\n function handleAddOutput(event, handle) {\n const output_area = handle.output_area;\n const output = handle.output;\n\n // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n return\n }\n\n const toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n\n if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n // store reference to embed id on output_area\n output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n }\n if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n const bk_div = document.createElement(\"div\");\n bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n const script_attrs = bk_div.children[0].attributes;\n for (let i = 0; i < script_attrs.length; i++) {\n toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n }\n // store reference to server id on output_area\n output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n }\n }\n\n function register_renderer(events, OutputArea) {\n\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n const toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n const props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[toinsert.length - 1]);\n element.append(toinsert);\n return toinsert\n }\n\n /* Handle when an output is cleared or removed */\n events.on('clear_output.CodeCell', handleClearOutput);\n events.on('delete.Cell', handleClearOutput);\n\n /* Handle when a new output is added */\n events.on('output_added.OutputArea', handleAddOutput);\n\n /**\n * Register the mime type and append_mime function with output_area\n */\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n /* Is output safe? */\n safe: true,\n /* Index of renderer in `output_area.display_order` */\n index: 0\n });\n }\n\n // register the mime type if in Jupyter Notebook environment and previously unregistered\n if (root.Jupyter !== undefined) {\n const events = require('base/js/events');\n const OutputArea = require('notebook/js/outputarea').OutputArea;\n\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n }\n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n const NB_LOAD_WARNING = {'data': {'text/html':\n \"
      \\n\"+\n \"

      \\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"

      \\n\"+\n \"
        \\n\"+\n \"
      • re-rerun `output_notebook()` to attempt to load from CDN again, or
        • \\n\"+\n \"
      • use INLINE resources instead, as so:
        • \\n\"+\n \"
      \\n\"+\n \"\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
      \"}};\n\n function display_loaded() {\n const el = document.getElementById(null);\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error(url) {\n console.error(\"failed to load \" + url);\n }\n\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n }\n\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.1.1.min.js\"];\n const css_urls = [];\n\n const inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {\n }\n ];\n\n function run_inline_js() {\n if (root.Bokeh !== undefined || force === true) {\n for (let i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\n} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n const cell = $(document.getElementById(null)).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));", - "application/vnd.bokehjs_load.v0+json": "" - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "ag3 = malariagen_data.Ag3(pre=True)\n", "\n", @@ -35,14 +26,14 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -51,7 +42,7 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -63,31 +54,9 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "4f5d7aa458d54e93af6242af7790dc9b", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Compute SNP allele counts: 0%| | 0/30 [00:00\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
      <xarray.DataArray 'variant_allele' (variants: 120913, alleles: 4)>\n",
-       "array([[b'G', b'A', b'C', b'T'],\n",
-       "       [b'A', b'C', b'T', b'G'],\n",
-       "       [b'G', b'A', b'C', b'T'],\n",
-       "       ...,\n",
-       "       [b'G', b'A', b'C', b'T'],\n",
-       "       [b'C', b'A', b'T', b'G'],\n",
-       "       [b'T', b'A', b'C', b'G']], dtype='|S1')\n",
-       "Coordinates:\n",
-       "    variant_position  (variants) int32 100092 100095 100109 ... 1999872 1999929\n",
-       "    variant_contig    (variants) uint8 1 1 1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1 1\n",
-       "Dimensions without coordinates: variants, alleles
      " - ], - "text/plain": [ - "\n", - "array([[b'G', b'A', b'C', b'T'],\n", - " [b'A', b'C', b'T', b'G'],\n", - " [b'G', b'A', b'C', b'T'],\n", - " ...,\n", - " [b'G', b'A', b'C', b'T'],\n", - " [b'C', b'A', b'T', b'G'],\n", - " [b'T', b'A', b'C', b'G']], dtype='|S1')\n", - "Coordinates:\n", - " variant_position (variants) int32 100092 100095 100109 ... 1999872 1999929\n", - " variant_contig (variants) uint8 1 1 1 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1 1 1\n", - "Dimensions without coordinates: variants, alleles" - ] - }, - "execution_count": 94, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "ds_bi['variant_allele'].compute()" ] }, { "cell_type": "code", - "execution_count": 67, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -538,7 +101,7 @@ }, { "cell_type": "code", - "execution_count": 68, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -549,7 +112,7 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -565,33 +128,9 @@ }, { "cell_type": "code", - "execution_count": 90, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "ename": "AssertionError", - "evalue": "", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mAssertionError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[90], line 10\u001b[0m\n\u001b[1;32m 3\u001b[0m variant_allele \u001b[38;5;241m=\u001b[39m variant_allele\u001b[38;5;241m.\u001b[39mrechunk((variant_allele\u001b[38;5;241m.\u001b[39mchunks[\u001b[38;5;241m0\u001b[39m], \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m))\n\u001b[1;32m 4\u001b[0m variant_allele_out \u001b[38;5;241m=\u001b[39m da\u001b[38;5;241m.\u001b[39mmap_blocks(\n\u001b[1;32m 5\u001b[0m \u001b[38;5;28;01mlambda\u001b[39;00m block: apply_allele_mapping(block, allele_mapping, max_allele\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m),\n\u001b[1;32m 6\u001b[0m variant_allele,\n\u001b[1;32m 7\u001b[0m dtype\u001b[38;5;241m=\u001b[39mvariant_allele\u001b[38;5;241m.\u001b[39mdtype,\n\u001b[1;32m 8\u001b[0m chunks\u001b[38;5;241m=\u001b[39m(variant_allele\u001b[38;5;241m.\u001b[39mchunks[\u001b[38;5;241m0\u001b[39m], [\u001b[38;5;241m2\u001b[39m]),\n\u001b[1;32m 9\u001b[0m )\n\u001b[0;32m---> 10\u001b[0m \u001b[43mvariant_allele_out\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcompute\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 11\u001b[0m \u001b[38;5;66;03m# Store allele counts, transformed, so we don't have to recompute.\u001b[39;00m\n\u001b[1;32m 12\u001b[0m \u001b[38;5;66;03m#ac_out = apply_allele_mapping(ac_bi, allele_mapping, max_allele=1)\u001b[39;00m\n\u001b[1;32m 13\u001b[0m \u001b[38;5;66;03m#data_vars[\"variant_allele_count\"] = (\"variants\", \"alleles\"), ac_out\u001b[39;00m\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/dask/base.py:314\u001b[0m, in \u001b[0;36mDaskMethodsMixin.compute\u001b[0;34m(self, **kwargs)\u001b[0m\n\u001b[1;32m 290\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mcompute\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m 291\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Compute this dask collection\u001b[39;00m\n\u001b[1;32m 292\u001b[0m \n\u001b[1;32m 293\u001b[0m \u001b[38;5;124;03m This turns a lazy Dask collection into its in-memory equivalent.\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 312\u001b[0m \u001b[38;5;124;03m dask.compute\u001b[39;00m\n\u001b[1;32m 313\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m--> 314\u001b[0m (result,) \u001b[38;5;241m=\u001b[39m \u001b[43mcompute\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtraverse\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 315\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m result\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/dask/base.py:599\u001b[0m, in \u001b[0;36mcompute\u001b[0;34m(traverse, optimize_graph, scheduler, get, *args, **kwargs)\u001b[0m\n\u001b[1;32m 596\u001b[0m keys\u001b[38;5;241m.\u001b[39mappend(x\u001b[38;5;241m.\u001b[39m__dask_keys__())\n\u001b[1;32m 597\u001b[0m postcomputes\u001b[38;5;241m.\u001b[39mappend(x\u001b[38;5;241m.\u001b[39m__dask_postcompute__())\n\u001b[0;32m--> 599\u001b[0m results \u001b[38;5;241m=\u001b[39m \u001b[43mschedule\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdsk\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkeys\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 600\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m repack([f(r, \u001b[38;5;241m*\u001b[39ma) \u001b[38;5;28;01mfor\u001b[39;00m r, (f, a) \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mzip\u001b[39m(results, postcomputes)])\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/dask/threaded.py:89\u001b[0m, in \u001b[0;36mget\u001b[0;34m(dsk, keys, cache, num_workers, pool, **kwargs)\u001b[0m\n\u001b[1;32m 86\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(pool, multiprocessing\u001b[38;5;241m.\u001b[39mpool\u001b[38;5;241m.\u001b[39mPool):\n\u001b[1;32m 87\u001b[0m pool \u001b[38;5;241m=\u001b[39m MultiprocessingPoolExecutor(pool)\n\u001b[0;32m---> 89\u001b[0m results \u001b[38;5;241m=\u001b[39m \u001b[43mget_async\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 90\u001b[0m \u001b[43m \u001b[49m\u001b[43mpool\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msubmit\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 91\u001b[0m \u001b[43m \u001b[49m\u001b[43mpool\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_max_workers\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 92\u001b[0m \u001b[43m \u001b[49m\u001b[43mdsk\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 93\u001b[0m \u001b[43m \u001b[49m\u001b[43mkeys\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 94\u001b[0m \u001b[43m \u001b[49m\u001b[43mcache\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcache\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 95\u001b[0m \u001b[43m \u001b[49m\u001b[43mget_id\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m_thread_get_id\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 96\u001b[0m \u001b[43m \u001b[49m\u001b[43mpack_exception\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpack_exception\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 97\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 98\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 100\u001b[0m \u001b[38;5;66;03m# Cleanup pools associated to dead threads\u001b[39;00m\n\u001b[1;32m 101\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m pools_lock:\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/dask/local.py:511\u001b[0m, in \u001b[0;36mget_async\u001b[0;34m(submit, num_workers, dsk, result, cache, get_id, rerun_exceptions_locally, pack_exception, raise_exception, callbacks, dumps, loads, chunksize, **kwargs)\u001b[0m\n\u001b[1;32m 509\u001b[0m _execute_task(task, data) \u001b[38;5;66;03m# Re-execute locally\u001b[39;00m\n\u001b[1;32m 510\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 511\u001b[0m \u001b[43mraise_exception\u001b[49m\u001b[43m(\u001b[49m\u001b[43mexc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtb\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 512\u001b[0m res, worker_id \u001b[38;5;241m=\u001b[39m loads(res_info)\n\u001b[1;32m 513\u001b[0m state[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcache\u001b[39m\u001b[38;5;124m\"\u001b[39m][key] \u001b[38;5;241m=\u001b[39m res\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/dask/local.py:319\u001b[0m, in \u001b[0;36mreraise\u001b[0;34m(exc, tb)\u001b[0m\n\u001b[1;32m 317\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m exc\u001b[38;5;241m.\u001b[39m__traceback__ \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m tb:\n\u001b[1;32m 318\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m exc\u001b[38;5;241m.\u001b[39mwith_traceback(tb)\n\u001b[0;32m--> 319\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m exc\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/dask/local.py:224\u001b[0m, in \u001b[0;36mexecute_task\u001b[0;34m(key, task_info, dumps, loads, get_id, pack_exception)\u001b[0m\n\u001b[1;32m 222\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 223\u001b[0m task, data \u001b[38;5;241m=\u001b[39m loads(task_info)\n\u001b[0;32m--> 224\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43m_execute_task\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtask\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdata\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 225\u001b[0m \u001b[38;5;28mid\u001b[39m \u001b[38;5;241m=\u001b[39m get_id()\n\u001b[1;32m 226\u001b[0m result \u001b[38;5;241m=\u001b[39m dumps((result, \u001b[38;5;28mid\u001b[39m))\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/dask/core.py:119\u001b[0m, in \u001b[0;36m_execute_task\u001b[0;34m(arg, cache, dsk)\u001b[0m\n\u001b[1;32m 115\u001b[0m func, args \u001b[38;5;241m=\u001b[39m arg[\u001b[38;5;241m0\u001b[39m], arg[\u001b[38;5;241m1\u001b[39m:]\n\u001b[1;32m 116\u001b[0m \u001b[38;5;66;03m# Note: Don't assign the subtask results to a variable. numpy detects\u001b[39;00m\n\u001b[1;32m 117\u001b[0m \u001b[38;5;66;03m# temporaries by their reference count and can execute certain\u001b[39;00m\n\u001b[1;32m 118\u001b[0m \u001b[38;5;66;03m# operations in-place.\u001b[39;00m\n\u001b[0;32m--> 119\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m_execute_task\u001b[49m\u001b[43m(\u001b[49m\u001b[43ma\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcache\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43ma\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 120\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m ishashable(arg):\n\u001b[1;32m 121\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m arg\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/dask/optimization.py:990\u001b[0m, in \u001b[0;36mSubgraphCallable.__call__\u001b[0;34m(self, *args)\u001b[0m\n\u001b[1;32m 988\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(args) \u001b[38;5;241m==\u001b[39m \u001b[38;5;28mlen\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39minkeys):\n\u001b[1;32m 989\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mExpected \u001b[39m\u001b[38;5;132;01m%d\u001b[39;00m\u001b[38;5;124m args, got \u001b[39m\u001b[38;5;132;01m%d\u001b[39;00m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m%\u001b[39m (\u001b[38;5;28mlen\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39minkeys), \u001b[38;5;28mlen\u001b[39m(args)))\n\u001b[0;32m--> 990\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mcore\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdsk\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moutkey\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mdict\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mzip\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43minkeys\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/dask/core.py:149\u001b[0m, in \u001b[0;36mget\u001b[0;34m(dsk, out, cache)\u001b[0m\n\u001b[1;32m 147\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m key \u001b[38;5;129;01min\u001b[39;00m toposort(dsk):\n\u001b[1;32m 148\u001b[0m task \u001b[38;5;241m=\u001b[39m dsk[key]\n\u001b[0;32m--> 149\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43m_execute_task\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtask\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcache\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 150\u001b[0m cache[key] \u001b[38;5;241m=\u001b[39m result\n\u001b[1;32m 151\u001b[0m result \u001b[38;5;241m=\u001b[39m _execute_task(out, cache)\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/dask/core.py:119\u001b[0m, in \u001b[0;36m_execute_task\u001b[0;34m(arg, cache, dsk)\u001b[0m\n\u001b[1;32m 115\u001b[0m func, args \u001b[38;5;241m=\u001b[39m arg[\u001b[38;5;241m0\u001b[39m], arg[\u001b[38;5;241m1\u001b[39m:]\n\u001b[1;32m 116\u001b[0m \u001b[38;5;66;03m# Note: Don't assign the subtask results to a variable. numpy detects\u001b[39;00m\n\u001b[1;32m 117\u001b[0m \u001b[38;5;66;03m# temporaries by their reference count and can execute certain\u001b[39;00m\n\u001b[1;32m 118\u001b[0m \u001b[38;5;66;03m# operations in-place.\u001b[39;00m\n\u001b[0;32m--> 119\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m_execute_task\u001b[49m\u001b[43m(\u001b[49m\u001b[43ma\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcache\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43ma\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 120\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m ishashable(arg):\n\u001b[1;32m 121\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m arg\n", - "Cell \u001b[0;32mIn[90], line 5\u001b[0m, in \u001b[0;36m\u001b[0;34m(block)\u001b[0m\n\u001b[1;32m 2\u001b[0m variant_allele \u001b[38;5;241m=\u001b[39m ds_bi[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mvariant_allele\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39mdata\n\u001b[1;32m 3\u001b[0m variant_allele \u001b[38;5;241m=\u001b[39m variant_allele\u001b[38;5;241m.\u001b[39mrechunk((variant_allele\u001b[38;5;241m.\u001b[39mchunks[\u001b[38;5;241m0\u001b[39m], \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m))\n\u001b[1;32m 4\u001b[0m variant_allele_out \u001b[38;5;241m=\u001b[39m da\u001b[38;5;241m.\u001b[39mmap_blocks(\n\u001b[0;32m----> 5\u001b[0m \u001b[38;5;28;01mlambda\u001b[39;00m block: \u001b[43mapply_allele_mapping\u001b[49m\u001b[43m(\u001b[49m\u001b[43mblock\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mallele_mapping\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmax_allele\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m)\u001b[49m,\n\u001b[1;32m 6\u001b[0m variant_allele,\n\u001b[1;32m 7\u001b[0m dtype\u001b[38;5;241m=\u001b[39mvariant_allele\u001b[38;5;241m.\u001b[39mdtype,\n\u001b[1;32m 8\u001b[0m chunks\u001b[38;5;241m=\u001b[39m(variant_allele\u001b[38;5;241m.\u001b[39mchunks[\u001b[38;5;241m0\u001b[39m], [\u001b[38;5;241m2\u001b[39m]),\n\u001b[1;32m 9\u001b[0m )\n\u001b[1;32m 10\u001b[0m variant_allele_out\u001b[38;5;241m.\u001b[39mcompute()\n\u001b[1;32m 11\u001b[0m \u001b[38;5;66;03m# Store allele counts, transformed, so we don't have to recompute.\u001b[39;00m\n\u001b[1;32m 12\u001b[0m \u001b[38;5;66;03m#ac_out = apply_allele_mapping(ac_bi, allele_mapping, max_allele=1)\u001b[39;00m\n\u001b[1;32m 13\u001b[0m \u001b[38;5;66;03m#data_vars[\"variant_allele_count\"] = (\"variants\", \"alleles\"), ac_out\u001b[39;00m\n", - "Cell \u001b[0;32mIn[57], line 11\u001b[0m, in \u001b[0;36mapply_allele_mapping\u001b[0;34m(x, mapping, max_allele)\u001b[0m\n\u001b[1;32m 9\u001b[0m n_sites \u001b[38;5;241m=\u001b[39m x\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m0\u001b[39m]\n\u001b[1;32m 10\u001b[0m n_alleles \u001b[38;5;241m=\u001b[39m x\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m1\u001b[39m]\n\u001b[0;32m---> 11\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m mapping\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m0\u001b[39m] \u001b[38;5;241m==\u001b[39m n_sites\n\u001b[1;32m 12\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m mapping\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m1\u001b[39m] \u001b[38;5;241m==\u001b[39m n_alleles\n\u001b[1;32m 14\u001b[0m \u001b[38;5;66;03m# Create output array.\u001b[39;00m\n", - "\u001b[0;31mAssertionError\u001b[0m: " - ] - } - ], + "outputs": [], "source": [ "import dask.array as da\n", "variant_allele = ds_bi[\"variant_allele\"].data\n", @@ -619,46 +158,18 @@ }, { "cell_type": "code", - "execution_count": 95, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([[ 0, 1, -1, -1],\n", - " [ 0, -1, -1, 1],\n", - " [ 0, 1, -1, -1],\n", - " ...,\n", - " [ 0, -1, -1, 1],\n", - " [ 0, -1, 1, -1],\n", - " [ 0, -1, 1, -1]], dtype=int32)" - ] - }, - "execution_count": 95, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "allele_mapping" ] }, { "cell_type": "code", - "execution_count": 92, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "120913" - ] - }, - "execution_count": 92, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "variant_allele.shape[0]" ] From 5e502bf46d5ed5bdf148ddfccbd2ffd83c701e21 Mon Sep 17 00:00:00 2001 From: Tristan Dennis Date: Thu, 8 Aug 2024 09:18:59 +0100 Subject: [PATCH 04/42] Added chunking of allele_mapping array so that da.map blocks works Removed numba decorator for the apply_allele_mapping function, for now --- malariagen_data/anoph/snp_data.py | 24 ++++++++++++++++-------- malariagen_data/util.py | 6 ++---- 2 files changed, 18 insertions(+), 12 deletions(-) diff --git a/malariagen_data/anoph/snp_data.py b/malariagen_data/anoph/snp_data.py index 7b0200914..57668462e 100644 --- a/malariagen_data/anoph/snp_data.py +++ b/malariagen_data/anoph/snp_data.py @@ -1627,15 +1627,23 @@ def biallelic_snp_calls( # Store alleles, transformed. variant_allele = ds_bi["variant_allele"].data variant_allele = variant_allele.rechunk((variant_allele.chunks[0], -1)) - # variant_allele_out = da.map_blocks( - # lambda block: apply_allele_mapping(block, allele_mapping, max_allele=1), - # variant_allele, - # dtype=variant_allele.dtype, - # chunks=(variant_allele.chunks[0], [2]), - # ) - variant_allele_out = apply_allele_mapping( - variant_allele.compute(), allele_mapping, max_allele=1 + + # Chunk allele mapping according to same variant_allele. + allele_mapping_chunked = da.from_array( + allele_mapping, chunks=variant_allele.chunks ) + + # Apply allele mapping blockwise to variant_allele. + variant_allele_out = da.map_blocks( + lambda allele, map: apply_allele_mapping(allele, map, max_allele=1), + variant_allele, + allele_mapping_chunked, + dtype=variant_allele.dtype, + chunks=(variant_allele.chunks[0], [2]), + ) + # variant_allele_out = apply_allele_mapping( + # variant_allele.compute(), allele_mapping, max_allele=1 + # ) data_vars["variant_allele"] = ("variants", "alleles"), variant_allele_out # Store allele counts, transformed, so we don't have to recompute. diff --git a/malariagen_data/util.py b/malariagen_data/util.py index 1221bae66..7c2a657d5 100644 --- a/malariagen_data/util.py +++ b/malariagen_data/util.py @@ -1348,7 +1348,7 @@ def trim_alleles(ac): return mapping -@numba.njit +# @numba.njit def apply_allele_mapping(x, mapping, max_allele): """Transform an array x, where the columns correspond to alleles, according to an allele mapping. @@ -1360,9 +1360,7 @@ def apply_allele_mapping(x, mapping, max_allele): n_sites = x.shape[0] n_alleles = x.shape[1] assert mapping.shape[0] == n_sites - assert ( - mapping.shape[1] == n_alleles - ) # these are not the same, work out what's going on - try running code with debugger? or print statementsd + assert mapping.shape[1] == n_alleles # Create output array. out = np.empty(shape=(n_sites, max_allele + 1), dtype=x.dtype) From 31f64693b54b06abc9134e47cc6e8010d41ac009 Mon Sep 17 00:00:00 2001 From: Tristan Dennis Date: Thu, 8 Aug 2024 09:29:23 +0100 Subject: [PATCH 05/42] numba works fine --- malariagen_data/util.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/malariagen_data/util.py b/malariagen_data/util.py index 7c2a657d5..d1fd46363 100644 --- a/malariagen_data/util.py +++ b/malariagen_data/util.py @@ -1348,7 +1348,7 @@ def trim_alleles(ac): return mapping -# @numba.njit +@numba.njit def apply_allele_mapping(x, mapping, max_allele): """Transform an array x, where the columns correspond to alleles, according to an allele mapping. From 4ef5e9c82678d23eef261ff73a40541a436cc839 Mon Sep 17 00:00:00 2001 From: Tristan Dennis Date: Fri, 9 Aug 2024 08:10:53 +0100 Subject: [PATCH 06/42] clear up notebook --- notebooks/plink_convert.ipynb | 165 +--------------------------------- 1 file changed, 4 insertions(+), 161 deletions(-) diff --git a/notebooks/plink_convert.ipynb b/notebooks/plink_convert.ipynb index 473da2c85..f6768f7b5 100644 --- a/notebooks/plink_convert.ipynb +++ b/notebooks/plink_convert.ipynb @@ -6,172 +6,15 @@ "metadata": {}, "outputs": [], "source": [ - "import malariagen_data\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ + "import malariagen_data\n", + "\n", "ag3 = malariagen_data.Ag3(pre=True)\n", "\n", "ag3.biallelic_snps_to_plink(results_dir='/Users/dennistpw/Projects/malariagen-data-python/',\n", " region='2L:100000-2000000',\n", " n_snps=2000,\n", " sample_sets='AG1000G-AO',\n", - " )" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "region='2L:1001000-2009000',\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "ds = ag3.snp_calls(\n", - " region=region,\n", - " sample_sets=sample_sets\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Perform an allele count.\n", - "ac = ag3.snp_allele_counts(\n", - " region=region,\n", - " sample_sets=sample_sets\n", - ")\n", - "\n", - "# Locate biallelic SNPs.\n", - "loc_bi = allel.AlleleCountsArray(ac).is_biallelic()\n", - "\n", - "# Remap alleles to squeeze out unobserved alleles.\n", - "ac_bi = ac[loc_bi]\n", - "allele_mapping = trim_alleles(ac_bi)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "ds_bi = ds.isel(variants=loc_bi)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "ds_bi['variant_allele'].compute()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from typing import Any, Dict, List, Optional, Tuple, Union\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Start building a new dataset.\n", - "coords: Dict[str, Any] = dict()\n", - "data_vars: Dict[str, Any] = dict()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# Store sample IDs.\n", - "coords[\"sample_id\"] = (\"samples\",), ds_bi[\"sample_id\"].data\n", - "\n", - "# Store contig.\n", - "coords[\"variant_contig\"] = (\"variants\",), ds_bi[\"variant_contig\"].data\n", - "\n", - "# Store position.\n", - "coords[\"variant_position\"] = (\"variants\",), ds_bi[\"variant_position\"].data" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import dask.array as da\n", - "variant_allele = ds_bi[\"variant_allele\"].data\n", - "variant_allele = variant_allele.rechunk((variant_allele.chunks[0], -1))\n", - "variant_allele_out = da.map_blocks(\n", - " lambda block: apply_allele_mapping(block, allele_mapping, max_allele=1),\n", - " variant_allele,\n", - " dtype=variant_allele.dtype,\n", - " chunks=(variant_allele.chunks[0], [2]),\n", - ")\n", - "variant_allele_out.compute()\n", - "# Store allele counts, transformed, so we don't have to recompute.\n", - "#ac_out = apply_allele_mapping(ac_bi, allele_mapping, max_allele=1)\n", - "#data_vars[\"variant_allele_count\"] = (\"variants\", \"alleles\"), ac_out" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "When we try to select only biallelic snps, we\n", - "- count the number of alleles\n", - "- select only" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "allele_mapping" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "variant_allele.shape[0]" + " )\n" ] } ], @@ -191,7 +34,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.19" + "version": "3.10.10" } }, "nbformat": 4, From af4743380e08d5c6555da9390971f4aa2edbe07f Mon Sep 17 00:00:00 2001 From: Tristan Dennis Date: Tue, 27 Aug 2024 13:30:20 +0100 Subject: [PATCH 07/42] remove dud notebook, tidy up to_plink.py --- malariagen_data/anoph/test-1.ipynb | 237 ----------------------------- malariagen_data/anoph/to_plink.py | 59 +++---- notebooks/plink_convert.ipynb | 126 ++++++++++++++- output.png | Bin 0 -> 328529 bytes 4 files changed, 139 insertions(+), 283 deletions(-) delete mode 100644 malariagen_data/anoph/test-1.ipynb create mode 100644 output.png diff --git a/malariagen_data/anoph/test-1.ipynb b/malariagen_data/anoph/test-1.ipynb deleted file mode 100644 index cac9d8fdb..000000000 --- a/malariagen_data/anoph/test-1.ipynb +++ /dev/null @@ -1,237 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'base_params' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[1], line 162\u001b[0m\n\u001b[1;32m 140\u001b[0m bed_reader\u001b[38;5;241m.\u001b[39mto_bed(\n\u001b[1;32m 141\u001b[0m filepath\u001b[38;5;241m=\u001b[39mbed_file_path,\n\u001b[1;32m 142\u001b[0m val\u001b[38;5;241m=\u001b[39mval,\n\u001b[1;32m 143\u001b[0m properties\u001b[38;5;241m=\u001b[39mproperties,\n\u001b[1;32m 144\u001b[0m count_A1\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m,\n\u001b[1;32m 145\u001b[0m )\n\u001b[1;32m 147\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m plink_file_path\n\u001b[1;32m 149\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mbiallelic_snps_to_plink\u001b[39m(\n\u001b[1;32m 150\u001b[0m \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m 151\u001b[0m results_dir,\n\u001b[1;32m 152\u001b[0m region: base_params\u001b[38;5;241m.\u001b[39mregions,\n\u001b[1;32m 153\u001b[0m n_snps: base_params\u001b[38;5;241m.\u001b[39mn_snps,\n\u001b[1;32m 154\u001b[0m thin_offset: base_params\u001b[38;5;241m.\u001b[39mthin_offset \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0\u001b[39m,\n\u001b[1;32m 155\u001b[0m sample_sets: Optional[base_params\u001b[38;5;241m.\u001b[39msample_sets] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m 156\u001b[0m sample_query: Optional[base_params\u001b[38;5;241m.\u001b[39msample_query] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m 157\u001b[0m sample_indices: Optional[base_params\u001b[38;5;241m.\u001b[39msample_indices] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m 158\u001b[0m site_mask: Optional[base_params\u001b[38;5;241m.\u001b[39msite_mask] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m 159\u001b[0m min_minor_ac: Optional[base_params\u001b[38;5;241m.\u001b[39mmin_minor_ac] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m 160\u001b[0m max_missing_an: Optional[base_params\u001b[38;5;241m.\u001b[39mmax_missing_an] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m 161\u001b[0m random_seed: base_params\u001b[38;5;241m.\u001b[39mrandom_seed \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m42\u001b[39m,\n\u001b[0;32m--> 162\u001b[0m inline_array: base_params\u001b[38;5;241m.\u001b[39minline_array \u001b[38;5;241m=\u001b[39m \u001b[43mbase_params\u001b[49m\u001b[38;5;241m.\u001b[39minline_array_default,\n\u001b[1;32m 163\u001b[0m chunks: base_params\u001b[38;5;241m.\u001b[39mchunks \u001b[38;5;241m=\u001b[39m base_params\u001b[38;5;241m.\u001b[39mchunks_default,\n\u001b[1;32m 164\u001b[0m ):\n\u001b[1;32m 166\u001b[0m params \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mdict\u001b[39m(\n\u001b[1;32m 167\u001b[0m results_dir\u001b[38;5;241m=\u001b[39mresults_dir,\n\u001b[1;32m 168\u001b[0m region\u001b[38;5;241m=\u001b[39mregion,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 177\u001b[0m random_seed\u001b[38;5;241m=\u001b[39mrandom_seed,\n\u001b[1;32m 178\u001b[0m )\n\u001b[1;32m 179\u001b[0m \u001b[38;5;66;03m#for the sake of getting this going \u001b[39;00m\n\u001b[1;32m 180\u001b[0m \u001b[38;5;66;03m#and also because i expect sanjay and ali will rework most of this, i will forgo the type checks until later\u001b[39;00m\n", - "\u001b[0;31mNameError\u001b[0m: name 'base_params' is not defined" - ] - } - ], - "source": [ - "import malariagen_data\n", - "from collections import Counter\n", - "from typing import Optional, Tuple\n", - "\n", - "import allel # type: ignore\n", - "import numpy as np\n", - "import os\n", - "import bed_reader\n", - "from dask.diagnostics import ProgressBar\n", - "# import bokeh.plotting\n", - "\n", - "#from .snp_data import AnophelesSnpData\n", - "#from ..util import hash_columns, check_types, CacheMiss\n", - "#from . import base_params\n", - "#from .base_params import DEFAULT\n", - "\n", - "def _create_plink_outfile(\n", - " self,\n", - " *,\n", - " results_dir,\n", - " region,\n", - " n_snps,\n", - " min_minor_ac,\n", - " thin_offset,\n", - " max_missing_an,\n", - "):\n", - " return f\"{results_dir}/{region}.{n_snps}.{min_minor_ac}.{thin_offset}.{max_missing_an}\"\n", - "\n", - "def _biallelic_snps_to_plink(\n", - " #_ means internal function\n", - " #loads biallelic diplotypes and selects segregating sites among them, converts to plink\n", - " self,\n", - " *,\n", - " results_dir,\n", - " region,\n", - " n_snps,\n", - " thin_offset,\n", - " sample_sets,\n", - " sample_query,\n", - " sample_indices,\n", - " site_mask,\n", - " min_minor_ac,\n", - " max_missing_an,\n", - " random_seed,\n", - " inline_array,\n", - " chunks,\n", - "):\n", - " \n", - " #first define output file\n", - " plink_file_path = self._create_plink_outfile(\n", - " results_dir=results_dir,\n", - " region=region,\n", - " n_snps=n_snps,\n", - " thin_offset=thin_offset,\n", - " min_minor_ac=min_minor_ac,\n", - " max_missing_an=max_missing_an,\n", - " )\n", - "\n", - " bed_file_path = f\"{plink_file_path}.bed\"\n", - " if os.path.exists(bed_file_path):\n", - " return plink_file_path\n", - "\n", - " #get snps\n", - " ds_snps = self.biallelic_snp_calls(\n", - " n_snps=n_snps,\n", - " region=region,\n", - " thin_offset=thin_offset,\n", - " sample_sets=sample_sets,\n", - " sample_query=sample_query,\n", - " sample_indices=sample_indices,\n", - " site_mask=site_mask,\n", - " min_minor_ac=min_minor_ac,\n", - " max_missing_an=max_missing_an,\n", - " random_seed=random_seed,\n", - " inline_array=inline_array,\n", - " chunks=chunks,\n", - " )\n", - "\n", - "\n", - " #filter snps on segregating sites\n", - " with self._spinner(\"Subsetting to segregating sites\"):\n", - " gt = ds_snps[\"call_genotype\"].data.compute()\n", - " print(\"count alleles\")\n", - " with ProgressBar():\n", - " ac = allel.GenotypeArray(gt).count_alleles(max_allele=3)\n", - " print(\"ascertain segregating sites\")\n", - " n_chroms = ds_snps.dims[\"samples\"] * 2\n", - " an_called = ac.sum(axis=1)\n", - " an_missing = n_chroms - an_called\n", - " min_ref_ac = min_minor_ac\n", - " max_ref_ac = n_chroms - min_minor_ac\n", - " # here we choose segregating sites\n", - " loc_sites = (\n", - " (ac[:, 0] >= min_ref_ac)\n", - " & (ac[:, 0] <= max_ref_ac)\n", - " & (an_missing <= max_missing_an)\n", - " )\n", - " print(f\"ascertained {np.count_nonzero(loc_sites):,} sites\")\n", - "\n", - "\n", - " #set up dataset with required vars for plink conversion\n", - " print(\"Set up dataset\")\n", - " ds_snps_asc = (\n", - " ds_snps[[\"variant_contig\", \"variant_position\", \"variant_allele\", \"sample_id\", \"call_genotype\"]]\n", - " .isel(alleles=slice(0, 2))\n", - " .sel(variants=loc_sites)\n", - " )\n", - "\n", - " #compute gt ref counts\n", - " with self._spinner(\"Computing genotype ref counts\"):\n", - " gn_ref = allel.GenotypeDaskArray(gt).to_n_ref(fill=-127) #what does the fill do\n", - " with ProgressBar():\n", - " gn_ref = gn_ref.compute()\n", - "\n", - " print(\"Ensure genotypes vary\")\n", - " loc_var = np.any(gn_ref != gn_ref[:, 0, np.newaxis], axis=1)\n", - " print(f\"final no. variants {np.count_nonzero(loc_var)}\")\n", - "\n", - "\n", - " print(\"Load final data\")\n", - " with ProgressBar():\n", - " ds_snps_final = (\n", - " ds_snps_asc[[\"variant_contig\", \"variant_position\", \"variant_allele\", \"sample_id\"]]\n", - " .isel(variants=loc_var)\n", - " )\n", - "\n", - " #init vars for input to bed reader\n", - " gn_ref_final = gn_ref[loc_var]\n", - " val = gn_ref_final.T\n", - " alleles = ds_snps_final[\"variant_allele\"].values\n", - " properties = {\n", - " \"iid\": ds_snps_final[\"sample_id\"].values,\n", - " \"chromosome\": ds_snps_final[\"variant_contig\"].values,\n", - " \"bp_position\": ds_snps_final[\"variant_position\"].values,\n", - " \"allele_1\": alleles[:, 0],\n", - " \"allele_2\": alleles[:, 1],\n", - " }\n", - "\n", - " print(f\"write plink files to {plink_file_path}\")\n", - " bed_reader.to_bed(\n", - " filepath=bed_file_path,\n", - " val=val,\n", - " properties=properties,\n", - " count_A1=True,\n", - " )\n", - "\n", - " return plink_file_path\n", - "\n", - "def biallelic_snps_to_plink(\n", - " self,\n", - " results_dir,\n", - " region: base_params.regions,\n", - " n_snps: base_params.n_snps,\n", - " thin_offset = 0,\n", - " sample_sets: Optional[base_params.sample_sets] = None,\n", - " sample_query: Optional[base_params.sample_query] = None,\n", - " sample_indices: Optional[base_params.sample_indices] = None,\n", - " site_mask: Optional[base_params.site_mask] = None,\n", - " min_minor_ac: Optional[base_params.min_minor_ac] = None,\n", - " max_missing_an: Optional[base_params.max_missing_an] = None,\n", - " random_seed: base_params.random_seed = 42,\n", - " inline_array: base_params.inline_array = base_params.inline_array_default,\n", - " chunks: base_params.chunks = base_params.chunks_default,\n", - "):\n", - " \n", - " params = dict(\n", - " results_dir=results_dir,\n", - " region=region,\n", - " n_snps=n_snps,\n", - " thin_offset=thin_offset,\n", - " sample_sets=sample_sets,\n", - " sample_query=sample_query,\n", - " sample_indices=sample_indices,\n", - " site_mask=site_mask,\n", - " min_minor_ac=min_minor_ac,\n", - " max_missing_an=max_missing_an,\n", - " random_seed=random_seed,\n", - " )\n", - " #for the sake of getting this going \n", - " #and also because i expect sanjay and ali will rework most of this, i will forgo the type checks until later\n", - "\n", - " filepath = self._biallelic_snps_to_plink(\n", - " inline_array=inline_array, chunks=chunks, **params\n", - " )\n", - " return filepath" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "malariagen_plink", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.10" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/malariagen_data/anoph/to_plink.py b/malariagen_data/anoph/to_plink.py index 010ad6375..a814f53ae 100644 --- a/malariagen_data/anoph/to_plink.py +++ b/malariagen_data/anoph/to_plink.py @@ -5,15 +5,12 @@ import os import bed_reader from dask.diagnostics import ProgressBar -# import bokeh.plotting from .snp_data import AnophelesSnpData from . import base_params -# So far all of this has been copied from Sanjay's g123 notebook as it loads snp data with some optional filters. class PlinkConverter( - # ADMIXTURE is the main reason I want to convert malaariagen SNP data to PLINK format, and it uses genotype data. AnophelesSnpData, ): def __init__( @@ -38,8 +35,6 @@ def _create_plink_outfile( return f"{results_dir}/{region}.{n_snps}.{min_minor_ac}.{thin_offset}.{max_missing_an}" def _biallelic_snps_to_plink( - # _ means internal function - # loads biallelic diplotypes and selects segregating sites among them, converts to plink self, *, results_dir, @@ -56,7 +51,7 @@ def _biallelic_snps_to_plink( inline_array, chunks, ): - # first define output file + # Define output file plink_file_path = self._create_plink_outfile( results_dir=results_dir, region=region, @@ -70,22 +65,20 @@ def _biallelic_snps_to_plink( if os.path.exists(bed_file_path): return plink_file_path - # get snps + # Get snps ds_snps = self.biallelic_snp_calls( region=region, sample_sets=sample_sets, sample_query=sample_query, sample_indices=sample_indices, site_mask=site_mask, - # min_minor_ac=min_minor_ac, - # max_missing_an=max_missing_an, random_seed=random_seed, inline_array=inline_array, chunks=chunks, n_snps=n_snps, ) - # filter snps on segregating sites + # Filter SNPs for segregating sites only with self._spinner("Subsetting to segregating sites"): gt = ds_snps["call_genotype"].data.compute() print("count alleles") @@ -97,53 +90,40 @@ def _biallelic_snps_to_plink( an_missing = n_chroms - an_called min_ref_ac = min_minor_ac max_ref_ac = n_chroms - min_minor_ac - # here we choose segregating sites - loc_sites = ( # put in is_biallelic + loc_sites = ( (ac[:, 0] >= min_ref_ac) & (ac[:, 0] <= max_ref_ac) & (an_missing <= max_missing_an) ) print(f"ascertained {np.count_nonzero(loc_sites):,} sites") - # print("thin sites") - # ix_sites = np.nonzero(loc_sites)[0] - # thin_step = max(ix_sites.shape[0] // n_snps, 1) - # ix_sites_thinned = ix_sites[thin_offset::thin_step] - # print(f"thinned to {np.count_nonzero(ix_sites_thinned):,} sites") - - # set up dataset with required vars for plink conversion + # Set up dataset with required vars for plink conversion print("Set up dataset") - ds_snps_asc = ( - ds_snps[ - [ - "variant_contig", - "variant_position", - "variant_allele", - "sample_id", - "call_genotype", - ] - ].isel(alleles=slice(0, 2)) - # .sel(variants=ix_sites_thinned) - ) - - # compute gt ref counts + ds_snps_asc = ds_snps[ + [ + "variant_contig", + "variant_position", + "variant_allele", + "sample_id", + "call_genotype", + ] + ].isel(alleles=slice(0, 2)) + + # Compute gt ref counts with self._spinner("Computing genotype ref counts"): gt_asc = ds_snps_asc["call_genotype"].data.compute() gn_ref = allel.GenotypeDaskArray(gt_asc).to_n_ref(fill=-127) with ProgressBar(): gn_ref = gn_ref.compute() - print("Ensure genotypes vary") loc_var = np.any(gn_ref != gn_ref[:, 0, np.newaxis], axis=1) - print(f"final no. variants {np.count_nonzero(loc_var)}") - print("Load final data") with ProgressBar(): ds_snps_final = ds_snps_asc[ ["variant_contig", "variant_position", "variant_allele", "sample_id"] ].isel(variants=loc_var) - # init vars for input to bed reader + # Init vars for input to bed reader gn_ref_final = gn_ref[loc_var] val = gn_ref_final.T alleles = ds_snps_final["variant_allele"].values @@ -155,7 +135,6 @@ def _biallelic_snps_to_plink( "allele_2": alleles[:, 1], } - print(f"write plink files to {plink_file_path}") bed_reader.to_bed( filepath=bed_file_path, val=val, @@ -163,6 +142,8 @@ def _biallelic_snps_to_plink( count_A1=True, ) + print(f"PLINK files written to to: {plink_file_path}") + return plink_file_path def biallelic_snps_to_plink( @@ -194,8 +175,6 @@ def biallelic_snps_to_plink( max_missing_an=max_missing_an, random_seed=random_seed, ) - # for the sake of getting this going - # and also because i expect sanjay and ali will rework most of this, i will forgo the type checks until later filepath = self._biallelic_snps_to_plink( inline_array=inline_array, chunks=chunks, **params diff --git a/notebooks/plink_convert.ipynb b/notebooks/plink_convert.ipynb index f6768f7b5..e4c75a525 100644 --- a/notebooks/plink_convert.ipynb +++ b/notebooks/plink_convert.ipynb @@ -2,19 +2,133 @@ "cells": [ { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "application/javascript": "(function(root) {\n function now() {\n return new Date();\n }\n\n const force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\nconst JS_MIME_TYPE = 'application/javascript';\n const HTML_MIME_TYPE = 'text/html';\n const EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n const CLASS_NAME = 'output_bokeh rendered_html';\n\n /**\n * Render data to the DOM node\n */\n function render(props, node) {\n const script = document.createElement(\"script\");\n node.appendChild(script);\n }\n\n /**\n * Handle when an output is cleared or removed\n */\n function handleClearOutput(event, handle) {\n const cell = handle.cell;\n\n const id = cell.output_area._bokeh_element_id;\n const server_id = cell.output_area._bokeh_server_id;\n // Clean up Bokeh references\n if (id != null && id in Bokeh.index) {\n Bokeh.index[id].model.document.clear();\n delete Bokeh.index[id];\n }\n\n if (server_id !== undefined) {\n // Clean up Bokeh references\n const cmd_clean = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n cell.notebook.kernel.execute(cmd_clean, {\n iopub: {\n output: function(msg) {\n const id = msg.content.text.trim();\n if (id in Bokeh.index) {\n Bokeh.index[id].model.document.clear();\n delete Bokeh.index[id];\n }\n }\n }\n });\n // Destroy server and session\n const cmd_destroy = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n cell.notebook.kernel.execute(cmd_destroy);\n }\n }\n\n /**\n * Handle when a new output is added\n */\n function handleAddOutput(event, handle) {\n const output_area = handle.output_area;\n const output = handle.output;\n\n // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n return\n }\n\n const toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n\n if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n toinsert[toinsert.length - 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Permission 'storage.objects.list' denied on resource (or it may not exist)., 401", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mHttpError\u001b[0m Traceback (most recent call last)", + "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/IPython/core/formatters.py:708\u001b[0m, in \u001b[0;36mPlainTextFormatter.__call__\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m 701\u001b[0m stream \u001b[38;5;241m=\u001b[39m StringIO()\n\u001b[1;32m 702\u001b[0m printer \u001b[38;5;241m=\u001b[39m pretty\u001b[38;5;241m.\u001b[39mRepresentationPrinter(stream, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mverbose,\n\u001b[1;32m 703\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmax_width, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mnewline,\n\u001b[1;32m 704\u001b[0m max_seq_length\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmax_seq_length,\n\u001b[1;32m 705\u001b[0m singleton_pprinters\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msingleton_printers,\n\u001b[1;32m 706\u001b[0m type_pprinters\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtype_printers,\n\u001b[1;32m 707\u001b[0m deferred_pprinters\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdeferred_printers)\n\u001b[0;32m--> 708\u001b[0m \u001b[43mprinter\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpretty\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 709\u001b[0m printer\u001b[38;5;241m.\u001b[39mflush()\n\u001b[1;32m 710\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m stream\u001b[38;5;241m.\u001b[39mgetvalue()\n", + "File 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output\u001b[38;5;241m.\u001b[39msplitlines()\n\u001b[1;32m 780\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m p\u001b[38;5;241m.\u001b[39mgroup():\n", + "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/malariagen_data/ag3.py:206\u001b[0m, in \u001b[0;36mAg3.__repr__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 204\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__repr__\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[1;32m 205\u001b[0m text \u001b[38;5;241m=\u001b[39m (\n\u001b[0;32m--> 206\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 207\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mStorage URL : 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use,\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 217\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mfor more information see https://www.malariagen.net/data\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 218\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mor contact data@malariagen.net. For API documentation see \u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 219\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhttps://malariagen.github.io/malariagen-data-python/v\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmalariagen_data\u001b[38;5;241m.\u001b[39m__version__\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m/Ag3.html\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 220\u001b[0m )\n\u001b[1;32m 221\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m text\n", + "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/malariagen_data/anoph/base.py:272\u001b[0m, in \u001b[0;36mAnophelesBase.releases\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 270\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_cache_releases \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 271\u001b[0m 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\u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mwrapper\u001b[39m(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m 117\u001b[0m \u001b[38;5;28mself\u001b[39m \u001b[38;5;241m=\u001b[39m obj \u001b[38;5;129;01mor\u001b[39;00m args[\u001b[38;5;241m0\u001b[39m]\n\u001b[0;32m--> 118\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43msync\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mloop\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfunc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/fsspec/asyn.py:103\u001b[0m, in \u001b[0;36msync\u001b[0;34m(loop, func, timeout, *args, **kwargs)\u001b[0m\n\u001b[1;32m 101\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m FSTimeoutError \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mreturn_result\u001b[39;00m\n\u001b[1;32m 102\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(return_result, \u001b[38;5;167;01mBaseException\u001b[39;00m):\n\u001b[0;32m--> 103\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m return_result\n\u001b[1;32m 104\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 105\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m return_result\n", + "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/fsspec/asyn.py:56\u001b[0m, in \u001b[0;36m_runner\u001b[0;34m(event, coro, result, timeout)\u001b[0m\n\u001b[1;32m 54\u001b[0m coro \u001b[38;5;241m=\u001b[39m asyncio\u001b[38;5;241m.\u001b[39mwait_for(coro, timeout\u001b[38;5;241m=\u001b[39mtimeout)\n\u001b[1;32m 55\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m---> 56\u001b[0m result[\u001b[38;5;241m0\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mawait\u001b[39;00m coro\n\u001b[1;32m 57\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m ex:\n\u001b[1;32m 58\u001b[0m result[\u001b[38;5;241m0\u001b[39m] \u001b[38;5;241m=\u001b[39m ex\n", + "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/gcsfs/core.py:995\u001b[0m, in \u001b[0;36mGCSFileSystem._ls\u001b[0;34m(self, path, detail, prefix, versions, refresh, **kwargs)\u001b[0m\n\u001b[1;32m 993\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 994\u001b[0m out \u001b[38;5;241m=\u001b[39m []\n\u001b[0;32m--> 995\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m entry \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28;01mawait\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_list_objects(\n\u001b[1;32m 996\u001b[0m path, prefix\u001b[38;5;241m=\u001b[39mprefix, versions\u001b[38;5;241m=\u001b[39mversions, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs\n\u001b[1;32m 997\u001b[0m ):\n\u001b[1;32m 998\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m versions \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mgeneration\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01min\u001b[39;00m entry:\n\u001b[1;32m 999\u001b[0m entry \u001b[38;5;241m=\u001b[39m entry\u001b[38;5;241m.\u001b[39mcopy()\n", + "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/gcsfs/core.py:564\u001b[0m, in \u001b[0;36mGCSFileSystem._list_objects\u001b[0;34m(self, path, prefix, versions, **kwargs)\u001b[0m\n\u001b[1;32m 561\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m key:\n\u001b[1;32m 562\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m\n\u001b[0;32m--> 564\u001b[0m items, prefixes \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mawait\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_do_list_objects(\n\u001b[1;32m 565\u001b[0m path, prefix\u001b[38;5;241m=\u001b[39mprefix, versions\u001b[38;5;241m=\u001b[39mversions, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs\n\u001b[1;32m 566\u001b[0m )\n\u001b[1;32m 568\u001b[0m pseudodirs \u001b[38;5;241m=\u001b[39m [\n\u001b[1;32m 569\u001b[0m {\n\u001b[1;32m 570\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mbucket\u001b[39m\u001b[38;5;124m\"\u001b[39m: bucket,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 576\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m prefix \u001b[38;5;129;01min\u001b[39;00m prefixes\n\u001b[1;32m 577\u001b[0m ]\n\u001b[1;32m 578\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m (items \u001b[38;5;241m+\u001b[39m pseudodirs):\n", + "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/gcsfs/core.py:638\u001b[0m, in \u001b[0;36mGCSFileSystem._do_list_objects\u001b[0;34m(self, path, max_results, delimiter, prefix, versions, **kwargs)\u001b[0m\n\u001b[1;32m 626\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mawait\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_concurrent_list_objects_helper(\n\u001b[1;32m 627\u001b[0m items\u001b[38;5;241m=\u001b[39mitems,\n\u001b[1;32m 628\u001b[0m bucket\u001b[38;5;241m=\u001b[39mbucket,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 632\u001b[0m page_size\u001b[38;5;241m=\u001b[39mdefault_page_size,\n\u001b[1;32m 633\u001b[0m )\n\u001b[1;32m 635\u001b[0m \u001b[38;5;66;03m# If the user has not configured inventory report, proceed to use\u001b[39;00m\n\u001b[1;32m 636\u001b[0m \u001b[38;5;66;03m# sequential listing.\u001b[39;00m\n\u001b[1;32m 637\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 638\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mawait\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_sequential_list_objects_helper(\n\u001b[1;32m 639\u001b[0m bucket\u001b[38;5;241m=\u001b[39mbucket,\n\u001b[1;32m 640\u001b[0m delimiter\u001b[38;5;241m=\u001b[39mdelimiter,\n\u001b[1;32m 641\u001b[0m start_offset\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m 642\u001b[0m end_offset\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m 643\u001b[0m prefix\u001b[38;5;241m=\u001b[39mprefix,\n\u001b[1;32m 644\u001b[0m versions\u001b[38;5;241m=\u001b[39mversions,\n\u001b[1;32m 645\u001b[0m page_size\u001b[38;5;241m=\u001b[39mdefault_page_size,\n\u001b[1;32m 646\u001b[0m )\n", + "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/gcsfs/core.py:732\u001b[0m, in \u001b[0;36mGCSFileSystem._sequential_list_objects_helper\u001b[0;34m(self, bucket, delimiter, start_offset, end_offset, prefix, versions, page_size)\u001b[0m\n\u001b[1;32m 729\u001b[0m prefixes \u001b[38;5;241m=\u001b[39m []\n\u001b[1;32m 730\u001b[0m items \u001b[38;5;241m=\u001b[39m []\n\u001b[0;32m--> 732\u001b[0m page \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mawait\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_call(\n\u001b[1;32m 733\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mGET\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 734\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb/\u001b[39m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;124m/o\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 735\u001b[0m bucket,\n\u001b[1;32m 736\u001b[0m delimiter\u001b[38;5;241m=\u001b[39mdelimiter,\n\u001b[1;32m 737\u001b[0m prefix\u001b[38;5;241m=\u001b[39mprefix,\n\u001b[1;32m 738\u001b[0m startOffset\u001b[38;5;241m=\u001b[39mstart_offset,\n\u001b[1;32m 739\u001b[0m endOffset\u001b[38;5;241m=\u001b[39mend_offset,\n\u001b[1;32m 740\u001b[0m maxResults\u001b[38;5;241m=\u001b[39mpage_size,\n\u001b[1;32m 741\u001b[0m json_out\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m,\n\u001b[1;32m 742\u001b[0m versions\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtrue\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m versions \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m 743\u001b[0m )\n\u001b[1;32m 745\u001b[0m prefixes\u001b[38;5;241m.\u001b[39mextend(page\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mprefixes\u001b[39m\u001b[38;5;124m\"\u001b[39m, []))\n\u001b[1;32m 746\u001b[0m items\u001b[38;5;241m.\u001b[39mextend(page\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mitems\u001b[39m\u001b[38;5;124m\"\u001b[39m, []))\n", + "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/gcsfs/core.py:437\u001b[0m, in \u001b[0;36mGCSFileSystem._call\u001b[0;34m(self, method, path, json_out, info_out, *args, **kwargs)\u001b[0m\n\u001b[1;32m 433\u001b[0m \u001b[38;5;28;01masync\u001b[39;00m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_call\u001b[39m(\n\u001b[1;32m 434\u001b[0m \u001b[38;5;28mself\u001b[39m, method, path, \u001b[38;5;241m*\u001b[39margs, json_out\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m, info_out\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs\n\u001b[1;32m 435\u001b[0m ):\n\u001b[1;32m 436\u001b[0m logger\u001b[38;5;241m.\u001b[39mdebug(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmethod\u001b[38;5;241m.\u001b[39mupper()\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mpath\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m, \u001b[39m\u001b[38;5;132;01m{\u001b[39;00margs\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m, \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mkwargs\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mheaders\u001b[39m\u001b[38;5;124m'\u001b[39m)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m--> 437\u001b[0m status, headers, info, contents \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mawait\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_request(\n\u001b[1;32m 438\u001b[0m method, path, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs\n\u001b[1;32m 439\u001b[0m )\n\u001b[1;32m 440\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m json_out:\n\u001b[1;32m 441\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m json\u001b[38;5;241m.\u001b[39mloads(contents)\n", + "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/decorator.py:221\u001b[0m, in \u001b[0;36mdecorate..fun\u001b[0;34m(*args, **kw)\u001b[0m\n\u001b[1;32m 219\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m kwsyntax:\n\u001b[1;32m 220\u001b[0m args, kw \u001b[38;5;241m=\u001b[39m fix(args, kw, sig)\n\u001b[0;32m--> 221\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mawait\u001b[39;00m caller(func, \u001b[38;5;241m*\u001b[39m(extras \u001b[38;5;241m+\u001b[39m args), \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkw)\n", + "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/gcsfs/retry.py:158\u001b[0m, in \u001b[0;36mretry_request\u001b[0;34m(func, retries, *args, **kwargs)\u001b[0m\n\u001b[1;32m 156\u001b[0m \u001b[38;5;28;01mcontinue\u001b[39;00m\n\u001b[1;32m 157\u001b[0m logger\u001b[38;5;241m.\u001b[39mexception(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfunc\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m non-retriable exception: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00me\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m--> 158\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m e\n", + "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/gcsfs/retry.py:123\u001b[0m, in \u001b[0;36mretry_request\u001b[0;34m(func, retries, *args, **kwargs)\u001b[0m\n\u001b[1;32m 121\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m retry \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[1;32m 122\u001b[0m \u001b[38;5;28;01mawait\u001b[39;00m asyncio\u001b[38;5;241m.\u001b[39msleep(\u001b[38;5;28mmin\u001b[39m(random\u001b[38;5;241m.\u001b[39mrandom() \u001b[38;5;241m+\u001b[39m \u001b[38;5;241m2\u001b[39m \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m (retry \u001b[38;5;241m-\u001b[39m \u001b[38;5;241m1\u001b[39m), \u001b[38;5;241m32\u001b[39m))\n\u001b[0;32m--> 123\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mawait\u001b[39;00m func(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m 124\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m (\n\u001b[1;32m 125\u001b[0m HttpError,\n\u001b[1;32m 126\u001b[0m requests\u001b[38;5;241m.\u001b[39mexceptions\u001b[38;5;241m.\u001b[39mRequestException,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 129\u001b[0m aiohttp\u001b[38;5;241m.\u001b[39mclient_exceptions\u001b[38;5;241m.\u001b[39mClientError,\n\u001b[1;32m 130\u001b[0m ) \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m 131\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m (\n\u001b[1;32m 132\u001b[0m \u001b[38;5;28misinstance\u001b[39m(e, HttpError)\n\u001b[1;32m 133\u001b[0m \u001b[38;5;129;01mand\u001b[39;00m e\u001b[38;5;241m.\u001b[39mcode \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m400\u001b[39m\n\u001b[1;32m 134\u001b[0m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrequester pays\u001b[39m\u001b[38;5;124m\"\u001b[39m 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\u001b[38;5;28;01mreturn\u001b[39;00m status, headers, info, contents\n", + "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/gcsfs/retry.py:110\u001b[0m, in \u001b[0;36mvalidate_response\u001b[0;34m(status, content, path, args)\u001b[0m\n\u001b[1;32m 108\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mBad Request: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mpath\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;132;01m{\u001b[39;00mmsg\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 109\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m error:\n\u001b[0;32m--> 110\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m HttpError(error)\n\u001b[1;32m 111\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m status:\n\u001b[1;32m 112\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m HttpError({\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcode\u001b[39m\u001b[38;5;124m\"\u001b[39m: status, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmessage\u001b[39m\u001b[38;5;124m\"\u001b[39m: msg}) \u001b[38;5;66;03m# text-like\u001b[39;00m\n", + "\u001b[0;31mHttpError\u001b[0m: Anonymous caller does not have storage.objects.list access to the Google Cloud Storage bucket. Permission 'storage.objects.list' denied on resource (or it may not exist)., 401" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "_request non-retriable exception: Anonymous caller does not have storage.objects.list access to the Google Cloud Storage bucket. Permission 'storage.objects.list' denied on resource (or it may not exist)., 401\n", + "Traceback (most recent call last):\n", + " File \"/Users/dennistpw/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/gcsfs/retry.py\", line 123, in retry_request\n", + " return await func(*args, **kwargs)\n", + " File \"/Users/dennistpw/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/gcsfs/core.py\", line 430, in _request\n", + " validate_response(status, contents, path, args)\n", + " File \"/Users/dennistpw/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/gcsfs/retry.py\", line 110, in validate_response\n", + " raise HttpError(error)\n", + "gcsfs.retry.HttpError: Anonymous caller does not have storage.objects.list access to the Google Cloud Storage bucket. Permission 'storage.objects.list' denied on resource (or it may not exist)., 401\n" + ] + }, + { + "ename": "HttpError", + "evalue": "Anonymous caller does not have storage.objects.list access to the Google Cloud Storage bucket. Permission 'storage.objects.list' denied on resource (or it may not exist)., 401", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mHttpError\u001b[0m Traceback (most recent call last)", + "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/IPython/core/formatters.py:344\u001b[0m, in \u001b[0;36mBaseFormatter.__call__\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m 342\u001b[0m method \u001b[38;5;241m=\u001b[39m get_real_method(obj, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mprint_method)\n\u001b[1;32m 343\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m method \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m--> 344\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mmethod\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 345\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 346\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n", + "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/malariagen_data/ag3.py:248\u001b[0m, in \u001b[0;36mAg3._repr_html_\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 223\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_repr_html_\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[1;32m 224\u001b[0m html \u001b[38;5;241m=\u001b[39m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\"\"\u001b[39m\n\u001b[1;32m 225\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 226\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 227\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 228\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 229\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 230\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 236\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 237\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 238\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 239\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 242\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 243\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 244\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 245\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[0;32m--> 248\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 249\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 250\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 251\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 254\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 255\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 256\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 257\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 260\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 261\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 262\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 263\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 266\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 267\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 268\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 269\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 272\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 273\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 274\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 275\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 278\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 279\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 280\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 281\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 284\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 285\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 286\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 287\u001b[0m \u001b[38;5;124m
      MalariaGEN Ag3 API client
      \u001b[39m\n\u001b[1;32m 231\u001b[0m \u001b[38;5;124m Please note that data are subject to terms of use,\u001b[39m\n\u001b[1;32m 232\u001b[0m \u001b[38;5;124m for more information see \u001b[39m\n\u001b[1;32m 233\u001b[0m \u001b[38;5;124m the MalariaGEN website or contact data@malariagen.net.\u001b[39m\n\u001b[1;32m 234\u001b[0m \u001b[38;5;124m See also the Ag3 API docs.\u001b[39m\n\u001b[1;32m 235\u001b[0m \u001b[38;5;124m
      \u001b[39m\n\u001b[1;32m 240\u001b[0m \u001b[38;5;124m Storage URL\u001b[39m\n\u001b[1;32m 241\u001b[0m \u001b[38;5;124m \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_url\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m
      \u001b[39m\n\u001b[1;32m 246\u001b[0m \u001b[38;5;124m Data releases available\u001b[39m\n\u001b[1;32m 247\u001b[0m \u001b[38;5;124m \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m, \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m.\u001b[39mjoin(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mreleases)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m
      \u001b[39m\n\u001b[1;32m 252\u001b[0m \u001b[38;5;124m Results cache\u001b[39m\n\u001b[1;32m 253\u001b[0m \u001b[38;5;124m \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_results_cache\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m
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      \u001b[39m\n\u001b[1;32m 276\u001b[0m \u001b[38;5;124m Software version\u001b[39m\n\u001b[1;32m 277\u001b[0m \u001b[38;5;124m malariagen_data \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmalariagen_data\u001b[38;5;241m.\u001b[39m__version__\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m
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      \u001b[39m\n\u001b[1;32m 288\u001b[0m \u001b[38;5;124m \u001b[39m\u001b[38;5;124m\"\"\"\u001b[39m\n\u001b[1;32m 289\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m html\n", + "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/malariagen_data/anoph/base.py:272\u001b[0m, in \u001b[0;36mAnophelesBase.releases\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 270\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_cache_releases \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 271\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_pre:\n\u001b[0;32m--> 272\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_cache_releases \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_discover_releases\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 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103\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m return_result\n\u001b[1;32m 104\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 105\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m return_result\n", + "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/fsspec/asyn.py:56\u001b[0m, in \u001b[0;36m_runner\u001b[0;34m(event, coro, result, timeout)\u001b[0m\n\u001b[1;32m 54\u001b[0m coro \u001b[38;5;241m=\u001b[39m asyncio\u001b[38;5;241m.\u001b[39mwait_for(coro, timeout\u001b[38;5;241m=\u001b[39mtimeout)\n\u001b[1;32m 55\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m---> 56\u001b[0m result[\u001b[38;5;241m0\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mawait\u001b[39;00m coro\n\u001b[1;32m 57\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m ex:\n\u001b[1;32m 58\u001b[0m result[\u001b[38;5;241m0\u001b[39m] \u001b[38;5;241m=\u001b[39m ex\n", + "File 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\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb/\u001b[39m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;124m/o\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 735\u001b[0m bucket,\n\u001b[1;32m 736\u001b[0m delimiter\u001b[38;5;241m=\u001b[39mdelimiter,\n\u001b[1;32m 737\u001b[0m prefix\u001b[38;5;241m=\u001b[39mprefix,\n\u001b[1;32m 738\u001b[0m startOffset\u001b[38;5;241m=\u001b[39mstart_offset,\n\u001b[1;32m 739\u001b[0m endOffset\u001b[38;5;241m=\u001b[39mend_offset,\n\u001b[1;32m 740\u001b[0m maxResults\u001b[38;5;241m=\u001b[39mpage_size,\n\u001b[1;32m 741\u001b[0m json_out\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m,\n\u001b[1;32m 742\u001b[0m versions\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtrue\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m versions \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m 743\u001b[0m )\n\u001b[1;32m 745\u001b[0m prefixes\u001b[38;5;241m.\u001b[39mextend(page\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mprefixes\u001b[39m\u001b[38;5;124m\"\u001b[39m, []))\n\u001b[1;32m 746\u001b[0m items\u001b[38;5;241m.\u001b[39mextend(page\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mitems\u001b[39m\u001b[38;5;124m\"\u001b[39m, []))\n", + "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/gcsfs/core.py:437\u001b[0m, in \u001b[0;36mGCSFileSystem._call\u001b[0;34m(self, method, path, json_out, info_out, *args, **kwargs)\u001b[0m\n\u001b[1;32m 433\u001b[0m \u001b[38;5;28;01masync\u001b[39;00m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_call\u001b[39m(\n\u001b[1;32m 434\u001b[0m \u001b[38;5;28mself\u001b[39m, method, path, \u001b[38;5;241m*\u001b[39margs, json_out\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m, info_out\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs\n\u001b[1;32m 435\u001b[0m ):\n\u001b[1;32m 436\u001b[0m logger\u001b[38;5;241m.\u001b[39mdebug(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmethod\u001b[38;5;241m.\u001b[39mupper()\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mpath\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m, \u001b[39m\u001b[38;5;132;01m{\u001b[39;00margs\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m, \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mkwargs\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mheaders\u001b[39m\u001b[38;5;124m'\u001b[39m)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m--> 437\u001b[0m status, headers, info, contents \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mawait\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_request(\n\u001b[1;32m 438\u001b[0m method, path, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs\n\u001b[1;32m 439\u001b[0m )\n\u001b[1;32m 440\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m json_out:\n\u001b[1;32m 441\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m json\u001b[38;5;241m.\u001b[39mloads(contents)\n", + "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/decorator.py:221\u001b[0m, in \u001b[0;36mdecorate..fun\u001b[0;34m(*args, **kw)\u001b[0m\n\u001b[1;32m 219\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m kwsyntax:\n\u001b[1;32m 220\u001b[0m args, kw \u001b[38;5;241m=\u001b[39m fix(args, kw, sig)\n\u001b[0;32m--> 221\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mawait\u001b[39;00m caller(func, \u001b[38;5;241m*\u001b[39m(extras \u001b[38;5;241m+\u001b[39m args), \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkw)\n", + "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/gcsfs/retry.py:158\u001b[0m, in \u001b[0;36mretry_request\u001b[0;34m(func, retries, *args, **kwargs)\u001b[0m\n\u001b[1;32m 156\u001b[0m \u001b[38;5;28;01mcontinue\u001b[39;00m\n\u001b[1;32m 157\u001b[0m logger\u001b[38;5;241m.\u001b[39mexception(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfunc\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m non-retriable exception: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00me\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m--> 158\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m e\n", + "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/gcsfs/retry.py:123\u001b[0m, in \u001b[0;36mretry_request\u001b[0;34m(func, retries, *args, **kwargs)\u001b[0m\n\u001b[1;32m 121\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m retry \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[1;32m 122\u001b[0m \u001b[38;5;28;01mawait\u001b[39;00m asyncio\u001b[38;5;241m.\u001b[39msleep(\u001b[38;5;28mmin\u001b[39m(random\u001b[38;5;241m.\u001b[39mrandom() \u001b[38;5;241m+\u001b[39m \u001b[38;5;241m2\u001b[39m \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m (retry \u001b[38;5;241m-\u001b[39m \u001b[38;5;241m1\u001b[39m), \u001b[38;5;241m32\u001b[39m))\n\u001b[0;32m--> 123\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mawait\u001b[39;00m func(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m 124\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m (\n\u001b[1;32m 125\u001b[0m HttpError,\n\u001b[1;32m 126\u001b[0m requests\u001b[38;5;241m.\u001b[39mexceptions\u001b[38;5;241m.\u001b[39mRequestException,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 129\u001b[0m aiohttp\u001b[38;5;241m.\u001b[39mclient_exceptions\u001b[38;5;241m.\u001b[39mClientError,\n\u001b[1;32m 130\u001b[0m ) \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m 131\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m (\n\u001b[1;32m 132\u001b[0m \u001b[38;5;28misinstance\u001b[39m(e, HttpError)\n\u001b[1;32m 133\u001b[0m \u001b[38;5;129;01mand\u001b[39;00m e\u001b[38;5;241m.\u001b[39mcode \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m400\u001b[39m\n\u001b[1;32m 134\u001b[0m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrequester pays\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01min\u001b[39;00m e\u001b[38;5;241m.\u001b[39mmessage\n\u001b[1;32m 135\u001b[0m ):\n", + "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/gcsfs/core.py:430\u001b[0m, in \u001b[0;36mGCSFileSystem._request\u001b[0;34m(self, method, path, headers, json, data, *args, **kwargs)\u001b[0m\n\u001b[1;32m 427\u001b[0m info \u001b[38;5;241m=\u001b[39m r\u001b[38;5;241m.\u001b[39mrequest_info \u001b[38;5;66;03m# for debug only\u001b[39;00m\n\u001b[1;32m 428\u001b[0m contents \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mawait\u001b[39;00m r\u001b[38;5;241m.\u001b[39mread()\n\u001b[0;32m--> 430\u001b[0m \u001b[43mvalidate_response\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstatus\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcontents\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpath\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 431\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m status, headers, info, contents\n", + "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/gcsfs/retry.py:110\u001b[0m, in \u001b[0;36mvalidate_response\u001b[0;34m(status, content, path, args)\u001b[0m\n\u001b[1;32m 108\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mBad Request: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mpath\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;132;01m{\u001b[39;00mmsg\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 109\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m error:\n\u001b[0;32m--> 110\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m HttpError(error)\n\u001b[1;32m 111\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m status:\n\u001b[1;32m 112\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m HttpError({\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcode\u001b[39m\u001b[38;5;124m\"\u001b[39m: status, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmessage\u001b[39m\u001b[38;5;124m\"\u001b[39m: msg}) \u001b[38;5;66;03m# text-like\u001b[39;00m\n", + "\u001b[0;31mHttpError\u001b[0m: Anonymous caller does not have storage.objects.list access to the Google Cloud Storage bucket. Permission 'storage.objects.list' denied on resource (or it may not exist)., 401" + ] + } + ], "source": [ "import malariagen_data\n", "\n", - "ag3 = malariagen_data.Ag3(pre=True)\n", - "\n", + "ag3 = malariagen_data.Ag3(pre=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "ename": "AttributeError", + "evalue": "'Ag3' object has no attribute 'biallelic_snps_to_plink'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[7], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mag3\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbiallelic_snps_to_plink\u001b[49m(results_dir\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m/Users/dennistpw/Projects/malariagen-data-python/\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[1;32m 2\u001b[0m region\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m2L:100000-2000000\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[1;32m 3\u001b[0m n_snps\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m2000\u001b[39m,\n\u001b[1;32m 4\u001b[0m sample_sets\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mAG1000G-AO\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[1;32m 5\u001b[0m )\n", + "\u001b[0;31mAttributeError\u001b[0m: 'Ag3' object has no attribute 'biallelic_snps_to_plink'" + ] + } + ], + "source": [ "ag3.biallelic_snps_to_plink(results_dir='/Users/dennistpw/Projects/malariagen-data-python/',\n", " region='2L:100000-2000000',\n", " n_snps=2000,\n", " sample_sets='AG1000G-AO',\n", - " )\n" + " )" ] } ], @@ -34,7 +148,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.10" + "version": "3.8.19" } }, "nbformat": 4, diff --git a/output.png b/output.png new file mode 100644 index 0000000000000000000000000000000000000000..fbabf4f10ee375b11bdbfbcf7337749357188f7e GIT binary patch literal 328529 zcmce-bySqy7dAXd2?z)xT>>g7DS~t;-H3Dw64Kp`N=qo9QUW3%F?2Tq(#_CA4?XnI zyl0;Heb2Yn`}cdV#R6~dIOptr_P+LY?K@meMV1hs8Xp3I5X#F*y@Wt;dLR(2-kUh! zObb@cH25XxDy`$H;b7tF@!HuOqWs#`(bmD$_N^(SyScN=TL*hyPC-s?c19~#S4S5i zE-t(OUBKz!Y{~T$ORf?;1kX`U*98J0evSUY$Q93d3&DUuAZJWZ{HA(Kqa+0h4kduu#?7wwu#3#M? z$3xT{oZ%Tt<&1^*YuB6Ab1!;^ugebvYid?f4$=h*S@gvPnH(Lk*2PSC`0u zrHg}sPAbckpgLqDjjpb){q%$_fBiwfa5eaG0(UL`_@wgO(9qDw?=I7Sj&w?P=JZ2v z(VZFu{lvDrQZhfGs>mKzPYK*g4a)}_qraYGcq${LKtt}F!EZt zD{`^hwl-Y_9e{05R}m-k+qGJz`+ex)th)tqygEggwZ6kU*~o|PE=F?QfD8{07n^kw zSv{o&cM(t2d%1-Aa{Xr#Oxh{BGGca9<#-fEo*C4vn1T7wM(Rvf)1E{Qe`Am3KP2GR 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+ +@pytest.fixture +def ag3_sim_api(ag3_sim_fixture): + return PlinkConverter( + url=ag3_sim_fixture.url, + config_path=_ag3.CONFIG_PATH, + major_version_number=_ag3.MAJOR_VERSION_NUMBER, + major_version_path=_ag3.MAJOR_VERSION_PATH, + pre=True, + aim_metadata_dtype={ + "aim_species_fraction_arab": "float64", + "aim_species_fraction_colu": "float64", + "aim_species_fraction_colu_no2l": "float64", + "aim_species_gambcolu_arabiensis": object, + "aim_species_gambiae_coluzzii": object, + "aim_species": object, + }, + gff_gene_type="gene", + gff_gene_name_attribute="Name", + gff_default_attributes=("ID", "Parent", "Name", "description"), + default_site_mask="gamb_colu_arab", + results_cache=ag3_sim_fixture.results_cache_path.as_posix(), + taxon_colors=_ag3.TAXON_COLORS, + virtual_contigs=_ag3.VIRTUAL_CONTIGS, + ) + + +@pytest.fixture +def af1_sim_api(af1_sim_fixture): + return PlinkConverter( + url=af1_sim_fixture.url, + config_path=_af1.CONFIG_PATH, + major_version_number=_af1.MAJOR_VERSION_NUMBER, + major_version_path=_af1.MAJOR_VERSION_PATH, + pre=False, + gff_gene_type="protein_coding_gene", + gff_gene_name_attribute="Note", + gff_default_attributes=("ID", "Parent", "Note", "description"), + default_site_mask="funestus", + results_cache=af1_sim_fixture.results_cache_path.as_posix(), + taxon_colors=_af1.TAXON_COLORS, + ) + + +# N.B., here we use pytest_cases to parametrize tests. Each +# function whose name begins with "case_" defines a set of +# inputs to the test functions. See the documentation for +# pytest_cases for more information, e.g.: +# +# https://smarie.github.io/python-pytest-cases/#basic-usage +# +# We use this approach here because we want to use fixtures +# as test parameters, which is otherwise hard to do with +# pytest alone. + + +def case_ag3_sim(ag3_sim_fixture, ag3_sim_api): + return ag3_sim_fixture, ag3_sim_api + + +def case_af1_sim(af1_sim_fixture, af1_sim_api): + return af1_sim_fixture, af1_sim_api + + +@parametrize_with_cases("fixture,api", cases=".") +def test_plink_converter(fixture, api: PlinkConverter, tmp_path): + # Parameters for selecting input data, filtering, and converting. + all_sample_sets = api.sample_sets()["sample_set"].to_list() + plink_params = dict( + results_dir=tmp_path, + region=random.choice(api.contigs), + n_snps=100, + min_minor_ac=1, + thin_offset=1, + max_missing_an=1, + sample_sets=random.sample(all_sample_sets, 2), + site_mask=random.choice((None,) + api.site_mask_ids), + ) + # make the file + api.biallelic_snps_to_plink(**plink_params) From 98700e3d7b03be710261a4af841c8ca1631cdd2b Mon Sep 17 00:00:00 2001 From: Tristan Dennis Date: Thu, 19 Sep 2024 11:03:49 +0800 Subject: [PATCH 09/42] update plink converter test to include test for created files --- tests/anoph/test_plink_converter.py | 16 ++++++++++++++-- 1 file changed, 14 insertions(+), 2 deletions(-) diff --git a/tests/anoph/test_plink_converter.py b/tests/anoph/test_plink_converter.py index b1d14a224..dcb768440 100644 --- a/tests/anoph/test_plink_converter.py +++ b/tests/anoph/test_plink_converter.py @@ -6,6 +6,8 @@ from malariagen_data import ag3 as _ag3 from malariagen_data.anoph.to_plink import PlinkConverter +import os + @pytest.fixture def ag3_sim_api(ag3_sim_fixture): @@ -77,12 +79,22 @@ def test_plink_converter(fixture, api: PlinkConverter, tmp_path): plink_params = dict( results_dir=tmp_path, region=random.choice(api.contigs), - n_snps=100, + n_snps=500, min_minor_ac=1, thin_offset=1, max_missing_an=1, sample_sets=random.sample(all_sample_sets, 2), site_mask=random.choice((None,) + api.site_mask_ids), ) - # make the file + # Make the plink files api.biallelic_snps_to_plink(**plink_params) + + # Check to see if bed, bim, fam output files exist + file_path = f"{tmp_path}/{plink_params['region']}.{plink_params['n_snps']}.{plink_params['min_minor_ac']}.{plink_params['thin_offset']}.{plink_params['max_missing_an']}" + + if os.path.exists(f"{file_path}.bed"): + pass + if os.path.exists(f"{file_path}.bim"): + pass + if os.path.exists(f"{file_path}.fam"): + pass From 6db9db83d65c5c9909116cdee8ecfd57721e252c Mon Sep 17 00:00:00 2001 From: Tristan Dennis Date: Thu, 19 Sep 2024 12:31:23 +0800 Subject: [PATCH 10/42] tidy, add tests, refactor snp_data call --- malariagen_data/anoph/snp_data.py | 3 --- malariagen_data/anoph/to_plink.py | 29 +++++++---------------------- tests/anoph/test_snp_data.py | 1 - 3 files changed, 7 insertions(+), 26 deletions(-) diff --git a/malariagen_data/anoph/snp_data.py b/malariagen_data/anoph/snp_data.py index 57668462e..18012caca 100644 --- a/malariagen_data/anoph/snp_data.py +++ b/malariagen_data/anoph/snp_data.py @@ -1641,9 +1641,6 @@ def biallelic_snp_calls( dtype=variant_allele.dtype, chunks=(variant_allele.chunks[0], [2]), ) - # variant_allele_out = apply_allele_mapping( - # variant_allele.compute(), allele_mapping, max_allele=1 - # ) data_vars["variant_allele"] = ("variants", "alleles"), variant_allele_out # Store allele counts, transformed, so we don't have to recompute. diff --git a/malariagen_data/anoph/to_plink.py b/malariagen_data/anoph/to_plink.py index a814f53ae..88157d528 100644 --- a/malariagen_data/anoph/to_plink.py +++ b/malariagen_data/anoph/to_plink.py @@ -72,33 +72,16 @@ def _biallelic_snps_to_plink( sample_query=sample_query, sample_indices=sample_indices, site_mask=site_mask, + min_minor_ac=min_minor_ac, + max_missing_an=max_missing_an, + n_snps=n_snps, + thin_offset=thin_offset, random_seed=random_seed, inline_array=inline_array, chunks=chunks, - n_snps=n_snps, ) - # Filter SNPs for segregating sites only - with self._spinner("Subsetting to segregating sites"): - gt = ds_snps["call_genotype"].data.compute() - print("count alleles") - with ProgressBar(): - ac = allel.GenotypeArray(gt).count_alleles(max_allele=3) - print("ascertain segregating sites") - n_chroms = ds_snps.dims["samples"] * 2 - an_called = ac.sum(axis=1) - an_missing = n_chroms - an_called - min_ref_ac = min_minor_ac - max_ref_ac = n_chroms - min_minor_ac - loc_sites = ( - (ac[:, 0] >= min_ref_ac) - & (ac[:, 0] <= max_ref_ac) - & (an_missing <= max_missing_an) - ) - print(f"ascertained {np.count_nonzero(loc_sites):,} sites") - # Set up dataset with required vars for plink conversion - print("Set up dataset") ds_snps_asc = ds_snps[ [ "variant_contig", @@ -107,7 +90,7 @@ def _biallelic_snps_to_plink( "sample_id", "call_genotype", ] - ].isel(alleles=slice(0, 2)) + ].isel(alleles=slice(0, 2)) # .sel(variants=ix_sites_thinned) # Compute gt ref counts with self._spinner("Computing genotype ref counts"): @@ -116,8 +99,10 @@ def _biallelic_snps_to_plink( with ProgressBar(): gn_ref = gn_ref.compute() + # Ensure genotypes vary loc_var = np.any(gn_ref != gn_ref[:, 0, np.newaxis], axis=1) + # Load final data with ProgressBar(): ds_snps_final = ds_snps_asc[ ["variant_contig", "variant_position", "variant_allele", "sample_id"] diff --git a/tests/anoph/test_snp_data.py b/tests/anoph/test_snp_data.py index 17e635861..19576a6d3 100644 --- a/tests/anoph/test_snp_data.py +++ b/tests/anoph/test_snp_data.py @@ -88,7 +88,6 @@ def test_open_snp_sites(fixture, api: AnophelesSnpData): assert "variants" in contig_grp variants = contig_grp["variants"] assert "POS" in variants - assert False assert "REF" in variants assert "ALT" in variants From 03ab293607ed076a3b4e896d419e91c26f0629e8 Mon Sep 17 00:00:00 2001 From: Tristan Dennis Date: Mon, 7 Oct 2024 11:28:29 +0800 Subject: [PATCH 11/42] Tidy tests and remove allelism selection from converter, add tests to check that dimensions and contect of exported dummy data are correct --- malariagen_data/anoph/to_plink.py | 2 +- pyproject.toml | 1 + tests/anoph/test_plink_converter.py | 64 ++++++++++++++++++++++------- 3 files changed, 52 insertions(+), 15 deletions(-) diff --git a/malariagen_data/anoph/to_plink.py b/malariagen_data/anoph/to_plink.py index 88157d528..05ec3d506 100644 --- a/malariagen_data/anoph/to_plink.py +++ b/malariagen_data/anoph/to_plink.py @@ -90,7 +90,7 @@ def _biallelic_snps_to_plink( "sample_id", "call_genotype", ] - ].isel(alleles=slice(0, 2)) # .sel(variants=ix_sites_thinned) + ] # Compute gt ref counts with self._spinner("Computing genotype ref counts"): diff --git a/pyproject.toml b/pyproject.toml index c8b26e80f..f8416b045 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -35,6 +35,7 @@ BioPython = "*" scikit-allel = "1.3.8" xarray = "*" plotly = "*" +bed_reader = "*" # https://github.com/bokeh/bokeh/issues/12614 # bokeh 3.0 has a problem with stretch sizing modes bokeh = ">=3.1.0" diff --git a/tests/anoph/test_plink_converter.py b/tests/anoph/test_plink_converter.py index dcb768440..5425b04ca 100644 --- a/tests/anoph/test_plink_converter.py +++ b/tests/anoph/test_plink_converter.py @@ -7,6 +7,7 @@ from malariagen_data.anoph.to_plink import PlinkConverter import os +import bed_reader @pytest.fixture @@ -76,25 +77,60 @@ def case_af1_sim(af1_sim_fixture, af1_sim_api): def test_plink_converter(fixture, api: PlinkConverter, tmp_path): # Parameters for selecting input data, filtering, and converting. all_sample_sets = api.sample_sets()["sample_set"].to_list() - plink_params = dict( - results_dir=tmp_path, + + data_params = dict( region=random.choice(api.contigs), - n_snps=500, - min_minor_ac=1, - thin_offset=1, - max_missing_an=1, sample_sets=random.sample(all_sample_sets, 2), site_mask=random.choice((None,) + api.site_mask_ids), + min_minor_ac=1, + max_missing_an=1, + thin_offset=1, + random_seed=random.randint(1, 2000), ) - # Make the plink files + + # Load a ds containing the randomly generated samples and regions to get the number of available snps to subset from. + ds = api.biallelic_snp_calls( + **data_params, + ) + + n_snps_available = ds.sizes["variants"] + n_snps = random.randint(1, n_snps_available) + + # Define plink params. + plink_params = dict(results_dir=tmp_path, n_snps=n_snps, **data_params) + + # Make the plink files. api.biallelic_snps_to_plink(**plink_params) - # Check to see if bed, bim, fam output files exist + # Test to see if bed, bim, fam output files exist. file_path = f"{tmp_path}/{plink_params['region']}.{plink_params['n_snps']}.{plink_params['min_minor_ac']}.{plink_params['thin_offset']}.{plink_params['max_missing_an']}" - if os.path.exists(f"{file_path}.bed"): - pass - if os.path.exists(f"{file_path}.bim"): - pass - if os.path.exists(f"{file_path}.fam"): - pass + assert os.path.exists(f"{file_path}.bed") + assert os.path.exists(f"{file_path}.bim") + assert os.path.exists(f"{file_path}.fam") + + # Read bed, bim, and fam files (bed_reader searches for the .bim and.fam files matching the prefix of the .bed file). + bed = bed_reader.open_bed(f"{file_path}.bed") + + # Load a ds containing the same data exported to PLINK to test against. + ds_test = api.biallelic_snp_calls( + **data_params, + n_snps=n_snps, + ) + + # Test to make sure that the rows and columns (no. variants and no. samples) of the .bed file match. + assert bed.shape[1] == ds_test.variant_position.shape[0] + assert bed.shape[0] == ds_test.samples.shape[0] + + # Test to see if sample_id is exported correctly (stored in the .fam file). + assert set(bed.iid) == set(ds_test.sample_id.values) + + # Test to see if variant position is exported to the.bim correctly. + assert set(bed.bp_position) == set(ds_test.variant_position.values) + + # Test to make sure chromosome ID is exported to the .bim file correctly (coerce to str to match types). + assert set(bed.chromosome) == set(ds_test.variant_contig.values.astype(str)) + + # Test to make sure that the major and minor allele are exported to the .bim file as expected (coerce to str to match types). + assert set(bed.allele_1) == set(ds_test.variant_allele.values[:, 0].astype(str)) + assert set(bed.allele_2) == set(ds_test.variant_allele.values[:, 1].astype(str)) From e7a35c809eeb3bde0bbf78e142a89d0c1fe6f25e Mon Sep 17 00:00:00 2001 From: Tristan Dennis Date: Mon, 7 Oct 2024 11:39:56 +0800 Subject: [PATCH 12/42] move bedreader to bottom of pyproject list --- pyproject.toml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index f8416b045..a6adb2b24 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -35,7 +35,6 @@ BioPython = "*" scikit-allel = "1.3.8" xarray = "*" plotly = "*" -bed_reader = "*" # https://github.com/bokeh/bokeh/issues/12614 # bokeh 3.0 has a problem with stretch sizing modes bokeh = ">=3.1.0" @@ -64,6 +63,8 @@ orjson = "*" yaspin = "*" # provides efficient neighbour-joining tree implementation biotite = "*" +bed_reader = "*" + [tool.poetry.dev-dependencies] pytest = "*" From 63352088f2ddefeb7d9f1d5d8239dc9bc501ce64 Mon Sep 17 00:00:00 2001 From: Jon Brenas <51911846+jonbrenas@users.noreply.github.com> Date: Wed, 16 Oct 2024 08:34:02 +0100 Subject: [PATCH 13/42] Change the default chunks value. --- malariagen_data/anoph/to_plink.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/malariagen_data/anoph/to_plink.py b/malariagen_data/anoph/to_plink.py index 05ec3d506..994ca6566 100644 --- a/malariagen_data/anoph/to_plink.py +++ b/malariagen_data/anoph/to_plink.py @@ -145,7 +145,7 @@ def biallelic_snps_to_plink( max_missing_an: Optional[base_params.max_missing_an] = 0, random_seed: base_params.random_seed = 42, inline_array: base_params.inline_array = base_params.inline_array_default, - chunks: base_params.chunks = base_params.chunks_default, + chunks: base_params.chunks = base_params.native_chunks, ): params = dict( results_dir=results_dir, From c84cd1a237062a9033a9ecfcbe1633c455c9ed4d Mon Sep 17 00:00:00 2001 From: Tristan Dennis Date: Fri, 18 Oct 2024 18:35:47 +1000 Subject: [PATCH 14/42] checkout changes from upstream to snpdata.py --- malariagen_data/anoph/snp_data.py | 20 +++----------------- 1 file changed, 3 insertions(+), 17 deletions(-) diff --git a/malariagen_data/anoph/snp_data.py b/malariagen_data/anoph/snp_data.py index ced0ee8bb..dea586a34 100644 --- a/malariagen_data/anoph/snp_data.py +++ b/malariagen_data/anoph/snp_data.py @@ -1669,23 +1669,9 @@ def biallelic_snp_calls( coords["variant_position"] = ("variants",), variant_position # Store alleles, transformed. - - variant_allele = ds_bi["variant_allele"].data - variant_allele = variant_allele.rechunk((variant_allele.chunks[0], -1)) - - # Chunk allele mapping according to same variant_allele. - allele_mapping_chunked = da.from_array( - allele_mapping, chunks=variant_allele.chunks - ) - - # Apply allele mapping blockwise to variant_allele. - variant_allele_out = da.map_blocks( - lambda allele, map: apply_allele_mapping(allele, map, max_allele=1), - variant_allele, - allele_mapping_chunked, - dtype=variant_allele.dtype, - chunks=(variant_allele.chunks[0], [2]), - + variant_allele_dask = ds_bi["variant_allele"].data + variant_allele_out = dask_apply_allele_mapping( + variant_allele_dask, allele_mapping, max_allele=1 ) data_vars["variant_allele"] = ("variants", "alleles"), variant_allele_out From 51f9174fe64a27a3ab23db609e6a6e465b9e8488 Mon Sep 17 00:00:00 2001 From: Tristan Dennis Date: Wed, 13 Nov 2024 15:14:49 -0600 Subject: [PATCH 15/42] Update tests/anoph/test_plink_converter.py Co-authored-by: Alistair Miles --- tests/anoph/test_plink_converter.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/anoph/test_plink_converter.py b/tests/anoph/test_plink_converter.py index 5425b04ca..1a65408d4 100644 --- a/tests/anoph/test_plink_converter.py +++ b/tests/anoph/test_plink_converter.py @@ -123,7 +123,7 @@ def test_plink_converter(fixture, api: PlinkConverter, tmp_path): assert bed.shape[0] == ds_test.samples.shape[0] # Test to see if sample_id is exported correctly (stored in the .fam file). - assert set(bed.iid) == set(ds_test.sample_id.values) + assert_array_equal(bed.iid, ds_test.sample_id.values) # Test to see if variant position is exported to the.bim correctly. assert set(bed.bp_position) == set(ds_test.variant_position.values) From ae7d4746aec0bffa485cd34271f898cbacb41dbf Mon Sep 17 00:00:00 2001 From: Tristan Dennis Date: Wed, 13 Nov 2024 15:15:11 -0600 Subject: [PATCH 16/42] Update malariagen_data/anoph/to_plink.py Co-authored-by: Alistair Miles --- malariagen_data/anoph/to_plink.py | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/malariagen_data/anoph/to_plink.py b/malariagen_data/anoph/to_plink.py index 994ca6566..36adec6e9 100644 --- a/malariagen_data/anoph/to_plink.py +++ b/malariagen_data/anoph/to_plink.py @@ -93,11 +93,10 @@ def _biallelic_snps_to_plink( ] # Compute gt ref counts - with self._spinner("Computing genotype ref counts"): - gt_asc = ds_snps_asc["call_genotype"].data.compute() + with self._dask_progress("Computing genotype ref counts"): + gt_asc = ds_snps_asc["call_genotype"].data # dask array gn_ref = allel.GenotypeDaskArray(gt_asc).to_n_ref(fill=-127) - with ProgressBar(): - gn_ref = gn_ref.compute() + gn_ref = gn_ref.compute() # Ensure genotypes vary loc_var = np.any(gn_ref != gn_ref[:, 0, np.newaxis], axis=1) From e33bfcd4f5becd5da900a7e2ca4121f6004d4eaa Mon Sep 17 00:00:00 2001 From: Tristan Dennis Date: Wed, 13 Nov 2024 15:15:23 -0600 Subject: [PATCH 17/42] Update malariagen_data/anoph/to_plink.py Co-authored-by: Alistair Miles --- malariagen_data/anoph/to_plink.py | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/malariagen_data/anoph/to_plink.py b/malariagen_data/anoph/to_plink.py index 36adec6e9..e9f1fb545 100644 --- a/malariagen_data/anoph/to_plink.py +++ b/malariagen_data/anoph/to_plink.py @@ -102,10 +102,7 @@ def _biallelic_snps_to_plink( loc_var = np.any(gn_ref != gn_ref[:, 0, np.newaxis], axis=1) # Load final data - with ProgressBar(): - ds_snps_final = ds_snps_asc[ - ["variant_contig", "variant_position", "variant_allele", "sample_id"] - ].isel(variants=loc_var) + ds_snps_final = dask_compress_dataset(ds_snps_asc, loc_var, dim="variants") # Init vars for input to bed reader gn_ref_final = gn_ref[loc_var] From 23ff3dfc74e5300f9b435169eaf7020f76f116bf Mon Sep 17 00:00:00 2001 From: Tristan Dennis Date: Wed, 13 Nov 2024 15:15:36 -0600 Subject: [PATCH 18/42] Update malariagen_data/anoph/to_plink.py Co-authored-by: Alistair Miles --- malariagen_data/anoph/to_plink.py | 17 +++++++++-------- 1 file changed, 9 insertions(+), 8 deletions(-) diff --git a/malariagen_data/anoph/to_plink.py b/malariagen_data/anoph/to_plink.py index e9f1fb545..f1890c13d 100644 --- a/malariagen_data/anoph/to_plink.py +++ b/malariagen_data/anoph/to_plink.py @@ -107,14 +107,15 @@ def _biallelic_snps_to_plink( # Init vars for input to bed reader gn_ref_final = gn_ref[loc_var] val = gn_ref_final.T - alleles = ds_snps_final["variant_allele"].values - properties = { - "iid": ds_snps_final["sample_id"].values, - "chromosome": ds_snps_final["variant_contig"].values, - "bp_position": ds_snps_final["variant_position"].values, - "allele_1": alleles[:, 0], - "allele_2": alleles[:, 1], - } + with self._spinner("Prepare output data"): + alleles = ds_snps_final["variant_allele"].values + properties = { + "iid": ds_snps_final["sample_id"].values, + "chromosome": ds_snps_final["variant_contig"].values, + "bp_position": ds_snps_final["variant_position"].values, + "allele_1": alleles[:, 0], + "allele_2": alleles[:, 1], + } bed_reader.to_bed( filepath=bed_file_path, From f2ceb4619ca665c50bcd41604d98e3c89fb6eef8 Mon Sep 17 00:00:00 2001 From: Tristan Dennis Date: Wed, 13 Nov 2024 15:23:25 -0600 Subject: [PATCH 19/42] update plink converter --- malariagen_data/anoph/to_plink.py | 15 ++------------- 1 file changed, 2 insertions(+), 13 deletions(-) diff --git a/malariagen_data/anoph/to_plink.py b/malariagen_data/anoph/to_plink.py index 994ca6566..bacfe4229 100644 --- a/malariagen_data/anoph/to_plink.py +++ b/malariagen_data/anoph/to_plink.py @@ -82,19 +82,10 @@ def _biallelic_snps_to_plink( ) # Set up dataset with required vars for plink conversion - ds_snps_asc = ds_snps[ - [ - "variant_contig", - "variant_position", - "variant_allele", - "sample_id", - "call_genotype", - ] - ] # Compute gt ref counts with self._spinner("Computing genotype ref counts"): - gt_asc = ds_snps_asc["call_genotype"].data.compute() + gt_asc = ds_snps["call_genotype"].data.compute() gn_ref = allel.GenotypeDaskArray(gt_asc).to_n_ref(fill=-127) with ProgressBar(): gn_ref = gn_ref.compute() @@ -104,9 +95,7 @@ def _biallelic_snps_to_plink( # Load final data with ProgressBar(): - ds_snps_final = ds_snps_asc[ - ["variant_contig", "variant_position", "variant_allele", "sample_id"] - ].isel(variants=loc_var) + ds_snps_final = ds_snps.isel(variants=loc_var) # Init vars for input to bed reader gn_ref_final = gn_ref[loc_var] From df75274a6ec806257b22eb00f444482b812957d5 Mon Sep 17 00:00:00 2001 From: Tristan Dennis Date: Wed, 13 Nov 2024 15:59:22 -0600 Subject: [PATCH 20/42] fix to_plink.py --- malariagen_data/anoph/to_plink.py | 29 ++++++++++++++--------------- 1 file changed, 14 insertions(+), 15 deletions(-) diff --git a/malariagen_data/anoph/to_plink.py b/malariagen_data/anoph/to_plink.py index bacfe4229..d4fcaf09e 100644 --- a/malariagen_data/anoph/to_plink.py +++ b/malariagen_data/anoph/to_plink.py @@ -4,8 +4,8 @@ import numpy as np import os import bed_reader -from dask.diagnostics import ProgressBar +from util import dask_compress_dataset from .snp_data import AnophelesSnpData from . import base_params @@ -84,30 +84,29 @@ def _biallelic_snps_to_plink( # Set up dataset with required vars for plink conversion # Compute gt ref counts - with self._spinner("Computing genotype ref counts"): - gt_asc = ds_snps["call_genotype"].data.compute() + with self._dask_progress("Computing genotype ref counts"): + gt_asc = ds_snps["call_genotype"].data # dask array gn_ref = allel.GenotypeDaskArray(gt_asc).to_n_ref(fill=-127) - with ProgressBar(): - gn_ref = gn_ref.compute() + gn_ref = gn_ref.compute() # Ensure genotypes vary loc_var = np.any(gn_ref != gn_ref[:, 0, np.newaxis], axis=1) # Load final data - with ProgressBar(): - ds_snps_final = ds_snps.isel(variants=loc_var) + ds_snps_final = dask_compress_dataset(ds_snps, loc_var, dim="variants") # Init vars for input to bed reader gn_ref_final = gn_ref[loc_var] val = gn_ref_final.T - alleles = ds_snps_final["variant_allele"].values - properties = { - "iid": ds_snps_final["sample_id"].values, - "chromosome": ds_snps_final["variant_contig"].values, - "bp_position": ds_snps_final["variant_position"].values, - "allele_1": alleles[:, 0], - "allele_2": alleles[:, 1], - } + with self._spinner("Prepare output data"): + alleles = ds_snps_final["variant_allele"].values + properties = { + "iid": ds_snps_final["sample_id"].values, + "chromosome": ds_snps_final["variant_contig"].values, + "bp_position": ds_snps_final["variant_position"].values, + "allele_1": alleles[:, 0], + "allele_2": alleles[:, 1], + } bed_reader.to_bed( filepath=bed_file_path, From 2c137524ee733c62aaed0322a53ae2963786d32b Mon Sep 17 00:00:00 2001 From: Tristan Dennis Date: Wed, 13 Nov 2024 16:01:08 -0600 Subject: [PATCH 21/42] fix to_plink and tests --- tests/anoph/test_plink_converter.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/tests/anoph/test_plink_converter.py b/tests/anoph/test_plink_converter.py index 5425b04ca..0ad90de26 100644 --- a/tests/anoph/test_plink_converter.py +++ b/tests/anoph/test_plink_converter.py @@ -9,6 +9,8 @@ import os import bed_reader +from numpy.testing import assert_array_equal + @pytest.fixture def ag3_sim_api(ag3_sim_fixture): @@ -123,7 +125,7 @@ def test_plink_converter(fixture, api: PlinkConverter, tmp_path): assert bed.shape[0] == ds_test.samples.shape[0] # Test to see if sample_id is exported correctly (stored in the .fam file). - assert set(bed.iid) == set(ds_test.sample_id.values) + assert_array_equal(bed.iid, ds_test.sample_id.values) # Test to see if variant position is exported to the.bim correctly. assert set(bed.bp_position) == set(ds_test.variant_position.values) From 90e72d5af9f1eebf94360e4a8bdfa7d22349f95e Mon Sep 17 00:00:00 2001 From: Tristan Dennis Date: Wed, 13 Nov 2024 16:07:35 -0600 Subject: [PATCH 22/42] update ac and an params to be same as pca, replace out dir --- malariagen_data/anoph/to_plink.py | 23 +++++++++++++---------- 1 file changed, 13 insertions(+), 10 deletions(-) diff --git a/malariagen_data/anoph/to_plink.py b/malariagen_data/anoph/to_plink.py index d4fcaf09e..7936206e6 100644 --- a/malariagen_data/anoph/to_plink.py +++ b/malariagen_data/anoph/to_plink.py @@ -8,6 +8,7 @@ from util import dask_compress_dataset from .snp_data import AnophelesSnpData from . import base_params +from . import pca_params class PlinkConverter( @@ -25,19 +26,19 @@ def __init__( def _create_plink_outfile( self, *, - results_dir, + output_dir, region, n_snps, min_minor_ac, thin_offset, max_missing_an, ): - return f"{results_dir}/{region}.{n_snps}.{min_minor_ac}.{thin_offset}.{max_missing_an}" + return f"{output_dir}/{region}.{n_snps}.{min_minor_ac}.{thin_offset}.{max_missing_an}" def _biallelic_snps_to_plink( self, *, - results_dir, + output_dir, region, n_snps, thin_offset, @@ -53,7 +54,7 @@ def _biallelic_snps_to_plink( ): # Define output file plink_file_path = self._create_plink_outfile( - results_dir=results_dir, + output_dir=output_dir, region=region, n_snps=n_snps, thin_offset=thin_offset, @@ -115,13 +116,11 @@ def _biallelic_snps_to_plink( count_A1=True, ) - print(f"PLINK files written to to: {plink_file_path}") - return plink_file_path def biallelic_snps_to_plink( self, - results_dir, + output_dir, region: base_params.regions, n_snps: base_params.n_snps, thin_offset: base_params.thin_offset = 0, @@ -129,14 +128,18 @@ def biallelic_snps_to_plink( sample_query: Optional[base_params.sample_query] = None, sample_indices: Optional[base_params.sample_indices] = None, site_mask: Optional[base_params.site_mask] = None, - min_minor_ac: Optional[base_params.min_minor_ac] = 0, - max_missing_an: Optional[base_params.max_missing_an] = 0, + min_minor_ac: Optional[ + base_params.min_minor_ac + ] = pca_params.min_minor_ac_default, + max_missing_an: Optional[ + base_params.max_missing_an + ] = pca_params.max_missing_an_default, random_seed: base_params.random_seed = 42, inline_array: base_params.inline_array = base_params.inline_array_default, chunks: base_params.chunks = base_params.native_chunks, ): params = dict( - results_dir=results_dir, + output_dir=output_dir, region=region, n_snps=n_snps, thin_offset=thin_offset, From 51d6c56073b0ad4ad9e67827350c1e9a32b5524f Mon Sep 17 00:00:00 2001 From: Tristan Dennis Date: Thu, 14 Nov 2024 10:06:14 -0600 Subject: [PATCH 23/42] added overwrite param --- malariagen_data/anoph/to_plink.py | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/malariagen_data/anoph/to_plink.py b/malariagen_data/anoph/to_plink.py index 7936206e6..a1bffac2b 100644 --- a/malariagen_data/anoph/to_plink.py +++ b/malariagen_data/anoph/to_plink.py @@ -42,6 +42,7 @@ def _biallelic_snps_to_plink( region, n_snps, thin_offset, + overwrite, sample_sets, sample_query, sample_indices, @@ -63,8 +64,11 @@ def _biallelic_snps_to_plink( ) bed_file_path = f"{plink_file_path}.bed" + + # Check to see if file exists and if overwrite is set to false, return existing file if os.path.exists(bed_file_path): - return plink_file_path + if not overwrite: + return plink_file_path # Get snps ds_snps = self.biallelic_snp_calls( @@ -124,6 +128,7 @@ def biallelic_snps_to_plink( region: base_params.regions, n_snps: base_params.n_snps, thin_offset: base_params.thin_offset = 0, + overwrite=False, sample_sets: Optional[base_params.sample_sets] = None, sample_query: Optional[base_params.sample_query] = None, sample_indices: Optional[base_params.sample_indices] = None, @@ -143,6 +148,7 @@ def biallelic_snps_to_plink( region=region, n_snps=n_snps, thin_offset=thin_offset, + overwrite=overwrite, sample_sets=sample_sets, sample_query=sample_query, sample_indices=sample_indices, From ebb7ae84b7b37153577aed24a85e9974931d474e Mon Sep 17 00:00:00 2001 From: Alistair Miles Date: Tue, 19 Nov 2024 12:01:01 +0000 Subject: [PATCH 24/42] Add Tristan Dennis as author --- pyproject.toml | 1 + 1 file changed, 1 insertion(+) diff --git a/pyproject.toml b/pyproject.toml index d16bbdfb5..10c460564 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -13,6 +13,7 @@ authors = [ "Nace Kranjc ", "Kelly Bennett ", "Sanjay Nagi ", + "Tristan Dennis ", ] license = "MIT" From fc70d08091b7a6d83555f8d4d3d993c1893eb33e Mon Sep 17 00:00:00 2001 From: Alistair Miles Date: Tue, 19 Nov 2024 12:24:19 +0000 Subject: [PATCH 25/42] poetry update --- poetry.lock | 1581 ++++++++++++++++++++++++++------------------------- 1 file changed, 800 insertions(+), 781 deletions(-) diff --git a/poetry.lock b/poetry.lock index f10468191..f807774c6 100644 --- a/poetry.lock +++ b/poetry.lock @@ -31,112 +31,98 @@ files = [ [[package]] name = "aiohttp" -version = "3.10.10" +version = "3.11.4" description = "Async http client/server framework (asyncio)" optional = false -python-versions = ">=3.8" +python-versions = ">=3.9" files = [ - {file = "aiohttp-3.10.10-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:be7443669ae9c016b71f402e43208e13ddf00912f47f623ee5994e12fc7d4b3f"}, - {file = "aiohttp-3.10.10-cp310-cp310-macosx_10_9_x86_64.whl", 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+- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/malariagen_data/anoph/to_plink.py b/malariagen_data/anoph/to_plink.py index a1bffac2b..86801521d 100644 --- a/malariagen_data/anoph/to_plink.py +++ b/malariagen_data/anoph/to_plink.py @@ -5,7 +5,7 @@ import os import bed_reader -from util import dask_compress_dataset +from ..util import dask_compress_dataset from .snp_data import AnophelesSnpData from . import base_params from . import pca_params From 8c6dec0a0918248d8c862a1423af71b1eb80260d Mon Sep 17 00:00:00 2001 From: Tristan Dennis Date: Wed, 20 Nov 2024 11:16:35 +1000 Subject: [PATCH 27/42] fix test plink converter notebook and run tests --- tests/anoph/test_plink_converter.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/anoph/test_plink_converter.py b/tests/anoph/test_plink_converter.py index 0ad90de26..81a1bf42c 100644 --- a/tests/anoph/test_plink_converter.py +++ b/tests/anoph/test_plink_converter.py @@ -99,7 +99,7 @@ def test_plink_converter(fixture, api: PlinkConverter, tmp_path): n_snps = random.randint(1, n_snps_available) # Define plink params. - plink_params = dict(results_dir=tmp_path, n_snps=n_snps, **data_params) + plink_params = dict(output_dir=tmp_path, n_snps=n_snps, **data_params) # Make the plink files. api.biallelic_snps_to_plink(**plink_params) From 7d102812d15577d49f7d108fe9dd08c3961dbeff Mon Sep 17 00:00:00 2001 From: Tristan Dennis Date: Thu, 21 Nov 2024 06:59:21 +1000 Subject: [PATCH 28/42] update notebook to fix output dir and relative output path --- notebooks/plink_convert.ipynb | 97 +++-------------------------------- 1 file changed, 6 insertions(+), 91 deletions(-) diff --git a/notebooks/plink_convert.ipynb b/notebooks/plink_convert.ipynb index e4c75a525..305409f2f 100644 --- a/notebooks/plink_convert.ipynb +++ b/notebooks/plink_convert.ipynb @@ -2,113 +2,28 @@ "cells": [ { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": {}, "outputs": [ { "data": { - "application/javascript": "(function(root) {\n function now() {\n return new Date();\n }\n\n const force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\nconst JS_MIME_TYPE = 'application/javascript';\n const HTML_MIME_TYPE = 'text/html';\n const EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n const CLASS_NAME = 'output_bokeh rendered_html';\n\n /**\n * Render data to the DOM node\n */\n function render(props, node) {\n const script = document.createElement(\"script\");\n node.appendChild(script);\n }\n\n /**\n * Handle when an output is cleared or removed\n */\n function handleClearOutput(event, handle) {\n const cell = handle.cell;\n\n const id = cell.output_area._bokeh_element_id;\n const server_id = cell.output_area._bokeh_server_id;\n // Clean up Bokeh references\n if (id != null && id in Bokeh.index) {\n Bokeh.index[id].model.document.clear();\n delete Bokeh.index[id];\n }\n\n if (server_id !== undefined) {\n // Clean up Bokeh references\n const cmd_clean = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n cell.notebook.kernel.execute(cmd_clean, {\n iopub: {\n output: function(msg) {\n const id = msg.content.text.trim();\n if (id in Bokeh.index) {\n Bokeh.index[id].model.document.clear();\n delete Bokeh.index[id];\n }\n }\n }\n });\n // Destroy server and session\n const cmd_destroy = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n cell.notebook.kernel.execute(cmd_destroy);\n }\n }\n\n /**\n * Handle when a new output is added\n */\n function handleAddOutput(event, handle) {\n const output_area = handle.output_area;\n const output = handle.output;\n\n // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n return\n }\n\n const toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n\n if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n // store reference to embed id on output_area\n output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n }\n if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n const bk_div = document.createElement(\"div\");\n bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n const script_attrs = bk_div.children[0].attributes;\n for (let i = 0; i < script_attrs.length; i++) {\n toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n }\n // store reference to server id on output_area\n output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n }\n }\n\n function register_renderer(events, OutputArea) {\n\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n const toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n const props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[toinsert.length - 1]);\n element.append(toinsert);\n return toinsert\n }\n\n /* Handle when an output is cleared or removed */\n events.on('clear_output.CodeCell', handleClearOutput);\n events.on('delete.Cell', handleClearOutput);\n\n /* Handle when a new output is added */\n events.on('output_added.OutputArea', handleAddOutput);\n\n /**\n * Register the mime type and append_mime function with output_area\n */\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n /* Is output safe? */\n 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      \\n\"+\n \"

      \\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"

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        \\n\"+\n \"
      • re-rerun `output_notebook()` to attempt to load from CDN again, or
        • \\n\"+\n \"
      • use INLINE resources instead, as so:
        • \\n\"+\n \"
      \\n\"+\n \"\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
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i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\n} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n const cell = $(document.getElementById(null)).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));", + "application/javascript": "'use strict';\n(function(root) {\n function now() {\n return new Date();\n }\n\n const force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\nconst JS_MIME_TYPE = 'application/javascript';\n const HTML_MIME_TYPE = 'text/html';\n const EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n const CLASS_NAME = 'output_bokeh rendered_html';\n\n /**\n * Render data to the DOM node\n */\n function render(props, node) {\n const script = document.createElement(\"script\");\n node.appendChild(script);\n }\n\n /**\n * Handle when an output is cleared or removed\n */\n function handleClearOutput(event, handle) {\n function drop(id) {\n const view = Bokeh.index.get_by_id(id)\n if (view != null) {\n view.model.document.clear()\n Bokeh.index.delete(view)\n }\n }\n\n const cell = handle.cell;\n\n const id = cell.output_area._bokeh_element_id;\n const server_id = cell.output_area._bokeh_server_id;\n\n // Clean up Bokeh references\n if (id != null) {\n drop(id)\n }\n\n if (server_id !== undefined) {\n // Clean up Bokeh references\n const cmd_clean = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n cell.notebook.kernel.execute(cmd_clean, {\n iopub: {\n output: function(msg) {\n const id = msg.content.text.trim()\n drop(id)\n }\n }\n });\n // Destroy server and session\n const cmd_destroy = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n cell.notebook.kernel.execute(cmd_destroy);\n }\n }\n\n /**\n * Handle when a new output is added\n */\n function handleAddOutput(event, handle) {\n const output_area = handle.output_area;\n const output = handle.output;\n\n // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n return\n }\n\n const toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n\n if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n // store reference to embed id on output_area\n output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n }\n if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n const bk_div = document.createElement(\"div\");\n bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n const script_attrs = bk_div.children[0].attributes;\n for (let i = 0; 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      \\n\"+\n \"

      \\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"

      \\n\"+\n \"
        \\n\"+\n \"
      • re-rerun `output_notebook()` to attempt to load from CDN again, or
        • \\n\"+\n \"
      • use INLINE resources instead, as so:
        • \\n\"+\n \"
      \\n\"+\n \"\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
      \"}};\n\n function display_loaded(error = null) {\n const el = document.getElementById(null);\n if (el != null) {\n const html = (() => {\n if (typeof root.Bokeh === \"undefined\") {\n if (error == null) {\n return \"BokehJS is loading ...\";\n } else {\n return \"BokehJS failed to load.\";\n }\n } else {\n const prefix = `BokehJS ${root.Bokeh.version}`;\n if (error == null) {\n return `${prefix} successfully loaded.`;\n } else {\n return `${prefix} encountered errors while loading and may not function as expected.`;\n }\n }\n })();\n el.innerHTML = html;\n\n if (error != null) {\n const wrapper = document.createElement(\"div\");\n wrapper.style.overflow = \"auto\";\n wrapper.style.height = \"5em\";\n wrapper.style.resize = \"vertical\";\n const content = document.createElement(\"div\");\n content.style.fontFamily = \"monospace\";\n content.style.whiteSpace = \"pre-wrap\";\n content.style.backgroundColor = \"rgb(255, 221, 221)\";\n content.textContent = error.stack ?? error.toString();\n wrapper.append(content);\n el.append(wrapper);\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(() => display_loaded(error), 100);\n }\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error(url) {\n console.error(\"failed to load \" + url);\n }\n\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n }\n\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.5.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.5.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.5.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.5.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.5.2.min.js\"];\n const css_urls = [];\n\n const inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {\n }\n ];\n\n function run_inline_js() {\n if (root.Bokeh !== undefined || force === true) {\n try {\n for (let i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\n\n } catch (error) {throw error;\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n const cell = $(document.getElementById(null)).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));", "application/vnd.bokehjs_load.v0+json": "" }, "metadata": {}, "output_type": "display_data" - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "_request non-retriable exception: Anonymous caller does not have storage.objects.list access to the Google Cloud Storage bucket. Permission 'storage.objects.list' denied on resource (or it may not exist)., 401\n", - "Traceback (most recent call last):\n", - " File \"/Users/dennistpw/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/gcsfs/retry.py\", line 123, in retry_request\n", - " return await func(*args, **kwargs)\n", - " File \"/Users/dennistpw/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/gcsfs/core.py\", line 430, in _request\n", - " validate_response(status, contents, path, args)\n", - " File \"/Users/dennistpw/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/gcsfs/retry.py\", line 110, in validate_response\n", - " raise HttpError(error)\n", - "gcsfs.retry.HttpError: Anonymous caller does not have storage.objects.list access to the Google Cloud Storage bucket. Permission 'storage.objects.list' denied on resource (or it may not exist)., 401\n" - ] - }, - { - "ename": "HttpError", - "evalue": "Anonymous caller does not have storage.objects.list access to the Google Cloud Storage bucket. Permission 'storage.objects.list' denied on resource (or it may not exist)., 401", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mHttpError\u001b[0m Traceback (most recent call last)", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/IPython/core/formatters.py:708\u001b[0m, in \u001b[0;36mPlainTextFormatter.__call__\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m 701\u001b[0m stream \u001b[38;5;241m=\u001b[39m StringIO()\n\u001b[1;32m 702\u001b[0m printer \u001b[38;5;241m=\u001b[39m pretty\u001b[38;5;241m.\u001b[39mRepresentationPrinter(stream, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mverbose,\n\u001b[1;32m 703\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmax_width, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mnewline,\n\u001b[1;32m 704\u001b[0m max_seq_length\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmax_seq_length,\n\u001b[1;32m 705\u001b[0m singleton_pprinters\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msingleton_printers,\n\u001b[1;32m 706\u001b[0m type_pprinters\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtype_printers,\n\u001b[1;32m 707\u001b[0m deferred_pprinters\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdeferred_printers)\n\u001b[0;32m--> 708\u001b[0m \u001b[43mprinter\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpretty\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 709\u001b[0m printer\u001b[38;5;241m.\u001b[39mflush()\n\u001b[1;32m 710\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m stream\u001b[38;5;241m.\u001b[39mgetvalue()\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/IPython/lib/pretty.py:410\u001b[0m, in \u001b[0;36mRepresentationPrinter.pretty\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m 407\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m meth(obj, \u001b[38;5;28mself\u001b[39m, cycle)\n\u001b[1;32m 408\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mcls\u001b[39m \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mobject\u001b[39m \\\n\u001b[1;32m 409\u001b[0m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mcallable\u001b[39m(\u001b[38;5;28mcls\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__dict__\u001b[39m\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m__repr__\u001b[39m\u001b[38;5;124m'\u001b[39m)):\n\u001b[0;32m--> 410\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_repr_pprint\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcycle\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 412\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m _default_pprint(obj, \u001b[38;5;28mself\u001b[39m, cycle)\n\u001b[1;32m 413\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/IPython/lib/pretty.py:778\u001b[0m, in \u001b[0;36m_repr_pprint\u001b[0;34m(obj, p, cycle)\u001b[0m\n\u001b[1;32m 776\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"A pprint that just redirects to the normal repr function.\"\"\"\u001b[39;00m\n\u001b[1;32m 777\u001b[0m \u001b[38;5;66;03m# Find newlines and replace them with p.break_()\u001b[39;00m\n\u001b[0;32m--> 778\u001b[0m output \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mrepr\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 779\u001b[0m lines \u001b[38;5;241m=\u001b[39m output\u001b[38;5;241m.\u001b[39msplitlines()\n\u001b[1;32m 780\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m p\u001b[38;5;241m.\u001b[39mgroup():\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/malariagen_data/ag3.py:206\u001b[0m, in \u001b[0;36mAg3.__repr__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 204\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__repr__\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[1;32m 205\u001b[0m text \u001b[38;5;241m=\u001b[39m (\n\u001b[0;32m--> 206\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 207\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mStorage URL : \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_url\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 208\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mData releases available : \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m, \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m.\u001b[39mjoin(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mreleases)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 209\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mResults cache : \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_results_cache\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 210\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mCohorts analysis : \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_cohorts_analysis\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 211\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mAIM analysis : \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_aim_analysis\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 212\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mSite filters analysis : \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_site_filters_analysis\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 213\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mSoftware version : malariagen_data \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmalariagen_data\u001b[38;5;241m.\u001b[39m__version__\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 214\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mClient location : \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mclient_location\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 215\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m---\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 216\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mPlease note that data are subject to terms of use,\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 217\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mfor more information see https://www.malariagen.net/data\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 218\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mor contact data@malariagen.net. For API documentation see \u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 219\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhttps://malariagen.github.io/malariagen-data-python/v\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmalariagen_data\u001b[38;5;241m.\u001b[39m__version__\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m/Ag3.html\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 220\u001b[0m )\n\u001b[1;32m 221\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m text\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/malariagen_data/anoph/base.py:272\u001b[0m, in \u001b[0;36mAnophelesBase.releases\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 270\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_cache_releases \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 271\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_pre:\n\u001b[0;32m--> 272\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_cache_releases \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_discover_releases\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 273\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 274\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_cache_releases \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_public_releases()\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/malariagen_data/anoph/base.py:253\u001b[0m, in \u001b[0;36mAnophelesBase._discover_releases\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 245\u001b[0m \u001b[38;5;129m@doc\u001b[39m(\n\u001b[1;32m 246\u001b[0m summary\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\"\"\u001b[39m\n\u001b[1;32m 247\u001b[0m \u001b[38;5;124m Here we discover which releases are available, by listing the storage\u001b[39m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 251\u001b[0m )\n\u001b[1;32m 252\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_discover_releases\u001b[39m(\u001b[38;5;28mself\u001b[39m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Tuple[\u001b[38;5;28mstr\u001b[39m, \u001b[38;5;241m.\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;241m.\u001b[39m]:\n\u001b[0;32m--> 253\u001b[0m sub_dirs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28msorted\u001b[39m([p\u001b[38;5;241m.\u001b[39msplit(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m/\u001b[39m\u001b[38;5;124m\"\u001b[39m)[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m] \u001b[38;5;28;01mfor\u001b[39;00m p \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_fs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mls\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_base_path\u001b[49m\u001b[43m)\u001b[49m])\n\u001b[1;32m 254\u001b[0m discovered_releases \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mtuple\u001b[39m(\n\u001b[1;32m 255\u001b[0m \u001b[38;5;28msorted\u001b[39m(\n\u001b[1;32m 256\u001b[0m [\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 263\u001b[0m )\n\u001b[1;32m 264\u001b[0m )\n\u001b[1;32m 265\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m discovered_releases\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/fsspec/asyn.py:118\u001b[0m, in \u001b[0;36msync_wrapper..wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 115\u001b[0m \u001b[38;5;129m@functools\u001b[39m\u001b[38;5;241m.\u001b[39mwraps(func)\n\u001b[1;32m 116\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mwrapper\u001b[39m(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m 117\u001b[0m \u001b[38;5;28mself\u001b[39m \u001b[38;5;241m=\u001b[39m obj \u001b[38;5;129;01mor\u001b[39;00m args[\u001b[38;5;241m0\u001b[39m]\n\u001b[0;32m--> 118\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43msync\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mloop\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfunc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/fsspec/asyn.py:103\u001b[0m, in \u001b[0;36msync\u001b[0;34m(loop, func, timeout, *args, **kwargs)\u001b[0m\n\u001b[1;32m 101\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m FSTimeoutError \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mreturn_result\u001b[39;00m\n\u001b[1;32m 102\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(return_result, \u001b[38;5;167;01mBaseException\u001b[39;00m):\n\u001b[0;32m--> 103\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m return_result\n\u001b[1;32m 104\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 105\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m return_result\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/fsspec/asyn.py:56\u001b[0m, in \u001b[0;36m_runner\u001b[0;34m(event, coro, result, timeout)\u001b[0m\n\u001b[1;32m 54\u001b[0m coro \u001b[38;5;241m=\u001b[39m asyncio\u001b[38;5;241m.\u001b[39mwait_for(coro, timeout\u001b[38;5;241m=\u001b[39mtimeout)\n\u001b[1;32m 55\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m---> 56\u001b[0m result[\u001b[38;5;241m0\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mawait\u001b[39;00m coro\n\u001b[1;32m 57\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m ex:\n\u001b[1;32m 58\u001b[0m result[\u001b[38;5;241m0\u001b[39m] \u001b[38;5;241m=\u001b[39m ex\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/gcsfs/core.py:995\u001b[0m, in \u001b[0;36mGCSFileSystem._ls\u001b[0;34m(self, path, detail, prefix, versions, refresh, **kwargs)\u001b[0m\n\u001b[1;32m 993\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 994\u001b[0m out \u001b[38;5;241m=\u001b[39m []\n\u001b[0;32m--> 995\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m entry \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28;01mawait\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_list_objects(\n\u001b[1;32m 996\u001b[0m path, prefix\u001b[38;5;241m=\u001b[39mprefix, versions\u001b[38;5;241m=\u001b[39mversions, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs\n\u001b[1;32m 997\u001b[0m ):\n\u001b[1;32m 998\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m versions \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mgeneration\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01min\u001b[39;00m entry:\n\u001b[1;32m 999\u001b[0m entry \u001b[38;5;241m=\u001b[39m entry\u001b[38;5;241m.\u001b[39mcopy()\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/gcsfs/core.py:564\u001b[0m, in \u001b[0;36mGCSFileSystem._list_objects\u001b[0;34m(self, path, prefix, versions, **kwargs)\u001b[0m\n\u001b[1;32m 561\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m key:\n\u001b[1;32m 562\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m\n\u001b[0;32m--> 564\u001b[0m items, prefixes \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mawait\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_do_list_objects(\n\u001b[1;32m 565\u001b[0m path, prefix\u001b[38;5;241m=\u001b[39mprefix, versions\u001b[38;5;241m=\u001b[39mversions, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs\n\u001b[1;32m 566\u001b[0m )\n\u001b[1;32m 568\u001b[0m pseudodirs \u001b[38;5;241m=\u001b[39m [\n\u001b[1;32m 569\u001b[0m {\n\u001b[1;32m 570\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mbucket\u001b[39m\u001b[38;5;124m\"\u001b[39m: bucket,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 576\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m prefix \u001b[38;5;129;01min\u001b[39;00m prefixes\n\u001b[1;32m 577\u001b[0m ]\n\u001b[1;32m 578\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m (items \u001b[38;5;241m+\u001b[39m pseudodirs):\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/gcsfs/core.py:638\u001b[0m, in \u001b[0;36mGCSFileSystem._do_list_objects\u001b[0;34m(self, path, max_results, delimiter, prefix, versions, **kwargs)\u001b[0m\n\u001b[1;32m 626\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mawait\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_concurrent_list_objects_helper(\n\u001b[1;32m 627\u001b[0m items\u001b[38;5;241m=\u001b[39mitems,\n\u001b[1;32m 628\u001b[0m bucket\u001b[38;5;241m=\u001b[39mbucket,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 632\u001b[0m page_size\u001b[38;5;241m=\u001b[39mdefault_page_size,\n\u001b[1;32m 633\u001b[0m )\n\u001b[1;32m 635\u001b[0m \u001b[38;5;66;03m# If the user has not configured inventory report, proceed to use\u001b[39;00m\n\u001b[1;32m 636\u001b[0m \u001b[38;5;66;03m# sequential listing.\u001b[39;00m\n\u001b[1;32m 637\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 638\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mawait\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_sequential_list_objects_helper(\n\u001b[1;32m 639\u001b[0m bucket\u001b[38;5;241m=\u001b[39mbucket,\n\u001b[1;32m 640\u001b[0m delimiter\u001b[38;5;241m=\u001b[39mdelimiter,\n\u001b[1;32m 641\u001b[0m start_offset\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m 642\u001b[0m end_offset\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m 643\u001b[0m prefix\u001b[38;5;241m=\u001b[39mprefix,\n\u001b[1;32m 644\u001b[0m versions\u001b[38;5;241m=\u001b[39mversions,\n\u001b[1;32m 645\u001b[0m page_size\u001b[38;5;241m=\u001b[39mdefault_page_size,\n\u001b[1;32m 646\u001b[0m )\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/gcsfs/core.py:732\u001b[0m, in \u001b[0;36mGCSFileSystem._sequential_list_objects_helper\u001b[0;34m(self, bucket, delimiter, start_offset, end_offset, prefix, versions, page_size)\u001b[0m\n\u001b[1;32m 729\u001b[0m prefixes \u001b[38;5;241m=\u001b[39m []\n\u001b[1;32m 730\u001b[0m items \u001b[38;5;241m=\u001b[39m []\n\u001b[0;32m--> 732\u001b[0m page \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mawait\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_call(\n\u001b[1;32m 733\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mGET\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 734\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb/\u001b[39m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;124m/o\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 735\u001b[0m bucket,\n\u001b[1;32m 736\u001b[0m delimiter\u001b[38;5;241m=\u001b[39mdelimiter,\n\u001b[1;32m 737\u001b[0m prefix\u001b[38;5;241m=\u001b[39mprefix,\n\u001b[1;32m 738\u001b[0m startOffset\u001b[38;5;241m=\u001b[39mstart_offset,\n\u001b[1;32m 739\u001b[0m endOffset\u001b[38;5;241m=\u001b[39mend_offset,\n\u001b[1;32m 740\u001b[0m maxResults\u001b[38;5;241m=\u001b[39mpage_size,\n\u001b[1;32m 741\u001b[0m json_out\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m,\n\u001b[1;32m 742\u001b[0m versions\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtrue\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m versions \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m 743\u001b[0m )\n\u001b[1;32m 745\u001b[0m prefixes\u001b[38;5;241m.\u001b[39mextend(page\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mprefixes\u001b[39m\u001b[38;5;124m\"\u001b[39m, []))\n\u001b[1;32m 746\u001b[0m items\u001b[38;5;241m.\u001b[39mextend(page\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mitems\u001b[39m\u001b[38;5;124m\"\u001b[39m, []))\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/gcsfs/core.py:437\u001b[0m, in \u001b[0;36mGCSFileSystem._call\u001b[0;34m(self, method, path, json_out, info_out, *args, **kwargs)\u001b[0m\n\u001b[1;32m 433\u001b[0m \u001b[38;5;28;01masync\u001b[39;00m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_call\u001b[39m(\n\u001b[1;32m 434\u001b[0m \u001b[38;5;28mself\u001b[39m, method, path, \u001b[38;5;241m*\u001b[39margs, json_out\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m, info_out\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs\n\u001b[1;32m 435\u001b[0m ):\n\u001b[1;32m 436\u001b[0m logger\u001b[38;5;241m.\u001b[39mdebug(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmethod\u001b[38;5;241m.\u001b[39mupper()\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mpath\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m, \u001b[39m\u001b[38;5;132;01m{\u001b[39;00margs\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m, \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mkwargs\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mheaders\u001b[39m\u001b[38;5;124m'\u001b[39m)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m--> 437\u001b[0m status, headers, info, contents \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mawait\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_request(\n\u001b[1;32m 438\u001b[0m method, path, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs\n\u001b[1;32m 439\u001b[0m )\n\u001b[1;32m 440\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m json_out:\n\u001b[1;32m 441\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m json\u001b[38;5;241m.\u001b[39mloads(contents)\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/decorator.py:221\u001b[0m, in \u001b[0;36mdecorate..fun\u001b[0;34m(*args, **kw)\u001b[0m\n\u001b[1;32m 219\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m kwsyntax:\n\u001b[1;32m 220\u001b[0m args, kw \u001b[38;5;241m=\u001b[39m fix(args, kw, sig)\n\u001b[0;32m--> 221\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mawait\u001b[39;00m caller(func, \u001b[38;5;241m*\u001b[39m(extras \u001b[38;5;241m+\u001b[39m args), \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkw)\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/gcsfs/retry.py:158\u001b[0m, in \u001b[0;36mretry_request\u001b[0;34m(func, retries, *args, **kwargs)\u001b[0m\n\u001b[1;32m 156\u001b[0m \u001b[38;5;28;01mcontinue\u001b[39;00m\n\u001b[1;32m 157\u001b[0m logger\u001b[38;5;241m.\u001b[39mexception(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfunc\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m non-retriable exception: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00me\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m--> 158\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m e\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/gcsfs/retry.py:123\u001b[0m, in \u001b[0;36mretry_request\u001b[0;34m(func, retries, *args, **kwargs)\u001b[0m\n\u001b[1;32m 121\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m retry \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[1;32m 122\u001b[0m \u001b[38;5;28;01mawait\u001b[39;00m asyncio\u001b[38;5;241m.\u001b[39msleep(\u001b[38;5;28mmin\u001b[39m(random\u001b[38;5;241m.\u001b[39mrandom() \u001b[38;5;241m+\u001b[39m \u001b[38;5;241m2\u001b[39m \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m (retry \u001b[38;5;241m-\u001b[39m \u001b[38;5;241m1\u001b[39m), \u001b[38;5;241m32\u001b[39m))\n\u001b[0;32m--> 123\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mawait\u001b[39;00m func(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m 124\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m (\n\u001b[1;32m 125\u001b[0m HttpError,\n\u001b[1;32m 126\u001b[0m requests\u001b[38;5;241m.\u001b[39mexceptions\u001b[38;5;241m.\u001b[39mRequestException,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 129\u001b[0m aiohttp\u001b[38;5;241m.\u001b[39mclient_exceptions\u001b[38;5;241m.\u001b[39mClientError,\n\u001b[1;32m 130\u001b[0m ) \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m 131\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m (\n\u001b[1;32m 132\u001b[0m \u001b[38;5;28misinstance\u001b[39m(e, HttpError)\n\u001b[1;32m 133\u001b[0m \u001b[38;5;129;01mand\u001b[39;00m e\u001b[38;5;241m.\u001b[39mcode \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m400\u001b[39m\n\u001b[1;32m 134\u001b[0m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrequester pays\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01min\u001b[39;00m e\u001b[38;5;241m.\u001b[39mmessage\n\u001b[1;32m 135\u001b[0m ):\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/gcsfs/core.py:430\u001b[0m, in \u001b[0;36mGCSFileSystem._request\u001b[0;34m(self, method, path, headers, json, data, *args, **kwargs)\u001b[0m\n\u001b[1;32m 427\u001b[0m info \u001b[38;5;241m=\u001b[39m r\u001b[38;5;241m.\u001b[39mrequest_info \u001b[38;5;66;03m# for debug only\u001b[39;00m\n\u001b[1;32m 428\u001b[0m contents \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mawait\u001b[39;00m r\u001b[38;5;241m.\u001b[39mread()\n\u001b[0;32m--> 430\u001b[0m \u001b[43mvalidate_response\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstatus\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcontents\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpath\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 431\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m status, headers, info, contents\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/gcsfs/retry.py:110\u001b[0m, in \u001b[0;36mvalidate_response\u001b[0;34m(status, content, path, args)\u001b[0m\n\u001b[1;32m 108\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mBad Request: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mpath\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;132;01m{\u001b[39;00mmsg\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 109\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m error:\n\u001b[0;32m--> 110\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m HttpError(error)\n\u001b[1;32m 111\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m status:\n\u001b[1;32m 112\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m HttpError({\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcode\u001b[39m\u001b[38;5;124m\"\u001b[39m: status, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmessage\u001b[39m\u001b[38;5;124m\"\u001b[39m: msg}) \u001b[38;5;66;03m# text-like\u001b[39;00m\n", - "\u001b[0;31mHttpError\u001b[0m: Anonymous caller does not have storage.objects.list access to the Google Cloud Storage bucket. Permission 'storage.objects.list' denied on resource (or it may not exist)., 401" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "_request non-retriable exception: Anonymous caller does not have storage.objects.list access to the Google Cloud Storage bucket. Permission 'storage.objects.list' denied on resource (or it may not exist)., 401\n", - "Traceback (most recent call last):\n", - " File \"/Users/dennistpw/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/gcsfs/retry.py\", line 123, in retry_request\n", - " return await func(*args, **kwargs)\n", - " File \"/Users/dennistpw/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/gcsfs/core.py\", line 430, in _request\n", - " validate_response(status, contents, path, args)\n", - " File \"/Users/dennistpw/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/gcsfs/retry.py\", line 110, in validate_response\n", - " raise HttpError(error)\n", - "gcsfs.retry.HttpError: Anonymous caller does not have storage.objects.list access to the Google Cloud Storage bucket. Permission 'storage.objects.list' denied on resource (or it may not exist)., 401\n" - ] - }, - { - "ename": "HttpError", - "evalue": "Anonymous caller does not have storage.objects.list access to the Google Cloud Storage bucket. Permission 'storage.objects.list' denied on resource (or it may not exist)., 401", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mHttpError\u001b[0m Traceback (most recent call last)", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/IPython/core/formatters.py:344\u001b[0m, in \u001b[0;36mBaseFormatter.__call__\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m 342\u001b[0m method \u001b[38;5;241m=\u001b[39m get_real_method(obj, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mprint_method)\n\u001b[1;32m 343\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m method \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m--> 344\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mmethod\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 345\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 346\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/malariagen_data/ag3.py:248\u001b[0m, in \u001b[0;36mAg3._repr_html_\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 223\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_repr_html_\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[1;32m 224\u001b[0m html \u001b[38;5;241m=\u001b[39m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\"\"\u001b[39m\n\u001b[1;32m 225\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 226\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 227\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 228\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 229\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 230\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 236\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 237\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 238\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 239\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 242\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 243\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 244\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 245\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[0;32m--> 248\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 249\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 250\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 251\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 254\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 255\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 256\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 257\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 260\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 261\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 262\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 263\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 266\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 267\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 268\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 269\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 272\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 273\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 274\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 275\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 278\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 279\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 280\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 281\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 284\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 285\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 286\u001b[0m \u001b[38;5;124m \u001b[39m\n\u001b[1;32m 287\u001b[0m \u001b[38;5;124m
      MalariaGEN Ag3 API client
      \u001b[39m\n\u001b[1;32m 231\u001b[0m \u001b[38;5;124m Please note that data are subject to terms of use,\u001b[39m\n\u001b[1;32m 232\u001b[0m \u001b[38;5;124m for more information see \u001b[39m\n\u001b[1;32m 233\u001b[0m \u001b[38;5;124m the MalariaGEN website or contact data@malariagen.net.\u001b[39m\n\u001b[1;32m 234\u001b[0m \u001b[38;5;124m See also the Ag3 API docs.\u001b[39m\n\u001b[1;32m 235\u001b[0m \u001b[38;5;124m
      \u001b[39m\n\u001b[1;32m 240\u001b[0m \u001b[38;5;124m Storage URL\u001b[39m\n\u001b[1;32m 241\u001b[0m \u001b[38;5;124m \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_url\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m
      \u001b[39m\n\u001b[1;32m 246\u001b[0m \u001b[38;5;124m Data releases available\u001b[39m\n\u001b[1;32m 247\u001b[0m \u001b[38;5;124m \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m, \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m.\u001b[39mjoin(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mreleases)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m
      \u001b[39m\n\u001b[1;32m 252\u001b[0m \u001b[38;5;124m Results cache\u001b[39m\n\u001b[1;32m 253\u001b[0m \u001b[38;5;124m \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_results_cache\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m
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      \u001b[39m\n\u001b[1;32m 264\u001b[0m \u001b[38;5;124m AIM analysis\u001b[39m\n\u001b[1;32m 265\u001b[0m \u001b[38;5;124m \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_aim_analysis\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m
      \u001b[39m\n\u001b[1;32m 270\u001b[0m \u001b[38;5;124m Site filters analysis\u001b[39m\n\u001b[1;32m 271\u001b[0m \u001b[38;5;124m \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_site_filters_analysis\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m
      \u001b[39m\n\u001b[1;32m 276\u001b[0m \u001b[38;5;124m Software version\u001b[39m\n\u001b[1;32m 277\u001b[0m \u001b[38;5;124m malariagen_data \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmalariagen_data\u001b[38;5;241m.\u001b[39m__version__\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m
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      \u001b[39m\n\u001b[1;32m 288\u001b[0m \u001b[38;5;124m \u001b[39m\u001b[38;5;124m\"\"\"\u001b[39m\n\u001b[1;32m 289\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m html\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/malariagen_data/anoph/base.py:272\u001b[0m, in \u001b[0;36mAnophelesBase.releases\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 270\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_cache_releases \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 271\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_pre:\n\u001b[0;32m--> 272\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_cache_releases \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_discover_releases\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 273\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 274\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_cache_releases \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_public_releases()\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/malariagen_data/anoph/base.py:253\u001b[0m, in \u001b[0;36mAnophelesBase._discover_releases\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 245\u001b[0m \u001b[38;5;129m@doc\u001b[39m(\n\u001b[1;32m 246\u001b[0m summary\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\"\"\u001b[39m\n\u001b[1;32m 247\u001b[0m \u001b[38;5;124m Here we discover which releases are available, by listing the storage\u001b[39m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 251\u001b[0m )\n\u001b[1;32m 252\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_discover_releases\u001b[39m(\u001b[38;5;28mself\u001b[39m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Tuple[\u001b[38;5;28mstr\u001b[39m, \u001b[38;5;241m.\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;241m.\u001b[39m]:\n\u001b[0;32m--> 253\u001b[0m sub_dirs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28msorted\u001b[39m([p\u001b[38;5;241m.\u001b[39msplit(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m/\u001b[39m\u001b[38;5;124m\"\u001b[39m)[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m] \u001b[38;5;28;01mfor\u001b[39;00m p \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_fs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mls\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_base_path\u001b[49m\u001b[43m)\u001b[49m])\n\u001b[1;32m 254\u001b[0m discovered_releases \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mtuple\u001b[39m(\n\u001b[1;32m 255\u001b[0m \u001b[38;5;28msorted\u001b[39m(\n\u001b[1;32m 256\u001b[0m [\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 263\u001b[0m )\n\u001b[1;32m 264\u001b[0m )\n\u001b[1;32m 265\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m discovered_releases\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/fsspec/asyn.py:118\u001b[0m, in \u001b[0;36msync_wrapper..wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 115\u001b[0m \u001b[38;5;129m@functools\u001b[39m\u001b[38;5;241m.\u001b[39mwraps(func)\n\u001b[1;32m 116\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mwrapper\u001b[39m(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m 117\u001b[0m \u001b[38;5;28mself\u001b[39m \u001b[38;5;241m=\u001b[39m obj \u001b[38;5;129;01mor\u001b[39;00m args[\u001b[38;5;241m0\u001b[39m]\n\u001b[0;32m--> 118\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43msync\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mloop\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfunc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/fsspec/asyn.py:103\u001b[0m, in \u001b[0;36msync\u001b[0;34m(loop, func, timeout, *args, **kwargs)\u001b[0m\n\u001b[1;32m 101\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m FSTimeoutError \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mreturn_result\u001b[39;00m\n\u001b[1;32m 102\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(return_result, \u001b[38;5;167;01mBaseException\u001b[39;00m):\n\u001b[0;32m--> 103\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m return_result\n\u001b[1;32m 104\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 105\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m return_result\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/fsspec/asyn.py:56\u001b[0m, in \u001b[0;36m_runner\u001b[0;34m(event, coro, result, timeout)\u001b[0m\n\u001b[1;32m 54\u001b[0m coro \u001b[38;5;241m=\u001b[39m asyncio\u001b[38;5;241m.\u001b[39mwait_for(coro, timeout\u001b[38;5;241m=\u001b[39mtimeout)\n\u001b[1;32m 55\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m---> 56\u001b[0m result[\u001b[38;5;241m0\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mawait\u001b[39;00m coro\n\u001b[1;32m 57\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m ex:\n\u001b[1;32m 58\u001b[0m result[\u001b[38;5;241m0\u001b[39m] \u001b[38;5;241m=\u001b[39m ex\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/gcsfs/core.py:995\u001b[0m, in \u001b[0;36mGCSFileSystem._ls\u001b[0;34m(self, path, detail, prefix, versions, refresh, **kwargs)\u001b[0m\n\u001b[1;32m 993\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 994\u001b[0m out \u001b[38;5;241m=\u001b[39m []\n\u001b[0;32m--> 995\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m entry \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28;01mawait\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_list_objects(\n\u001b[1;32m 996\u001b[0m path, prefix\u001b[38;5;241m=\u001b[39mprefix, versions\u001b[38;5;241m=\u001b[39mversions, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs\n\u001b[1;32m 997\u001b[0m ):\n\u001b[1;32m 998\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m versions \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mgeneration\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01min\u001b[39;00m entry:\n\u001b[1;32m 999\u001b[0m entry \u001b[38;5;241m=\u001b[39m entry\u001b[38;5;241m.\u001b[39mcopy()\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/gcsfs/core.py:564\u001b[0m, in \u001b[0;36mGCSFileSystem._list_objects\u001b[0;34m(self, path, prefix, versions, **kwargs)\u001b[0m\n\u001b[1;32m 561\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m key:\n\u001b[1;32m 562\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m\n\u001b[0;32m--> 564\u001b[0m items, prefixes \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mawait\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_do_list_objects(\n\u001b[1;32m 565\u001b[0m path, prefix\u001b[38;5;241m=\u001b[39mprefix, versions\u001b[38;5;241m=\u001b[39mversions, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs\n\u001b[1;32m 566\u001b[0m )\n\u001b[1;32m 568\u001b[0m pseudodirs \u001b[38;5;241m=\u001b[39m [\n\u001b[1;32m 569\u001b[0m {\n\u001b[1;32m 570\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mbucket\u001b[39m\u001b[38;5;124m\"\u001b[39m: bucket,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 576\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m prefix \u001b[38;5;129;01min\u001b[39;00m prefixes\n\u001b[1;32m 577\u001b[0m ]\n\u001b[1;32m 578\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m (items \u001b[38;5;241m+\u001b[39m pseudodirs):\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/gcsfs/core.py:638\u001b[0m, in \u001b[0;36mGCSFileSystem._do_list_objects\u001b[0;34m(self, path, max_results, delimiter, prefix, versions, **kwargs)\u001b[0m\n\u001b[1;32m 626\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mawait\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_concurrent_list_objects_helper(\n\u001b[1;32m 627\u001b[0m items\u001b[38;5;241m=\u001b[39mitems,\n\u001b[1;32m 628\u001b[0m bucket\u001b[38;5;241m=\u001b[39mbucket,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 632\u001b[0m page_size\u001b[38;5;241m=\u001b[39mdefault_page_size,\n\u001b[1;32m 633\u001b[0m )\n\u001b[1;32m 635\u001b[0m \u001b[38;5;66;03m# If the user has not configured inventory report, proceed to use\u001b[39;00m\n\u001b[1;32m 636\u001b[0m \u001b[38;5;66;03m# sequential listing.\u001b[39;00m\n\u001b[1;32m 637\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 638\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mawait\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_sequential_list_objects_helper(\n\u001b[1;32m 639\u001b[0m bucket\u001b[38;5;241m=\u001b[39mbucket,\n\u001b[1;32m 640\u001b[0m delimiter\u001b[38;5;241m=\u001b[39mdelimiter,\n\u001b[1;32m 641\u001b[0m start_offset\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m 642\u001b[0m end_offset\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m 643\u001b[0m prefix\u001b[38;5;241m=\u001b[39mprefix,\n\u001b[1;32m 644\u001b[0m versions\u001b[38;5;241m=\u001b[39mversions,\n\u001b[1;32m 645\u001b[0m page_size\u001b[38;5;241m=\u001b[39mdefault_page_size,\n\u001b[1;32m 646\u001b[0m )\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/gcsfs/core.py:732\u001b[0m, in \u001b[0;36mGCSFileSystem._sequential_list_objects_helper\u001b[0;34m(self, bucket, delimiter, start_offset, end_offset, prefix, versions, page_size)\u001b[0m\n\u001b[1;32m 729\u001b[0m prefixes \u001b[38;5;241m=\u001b[39m []\n\u001b[1;32m 730\u001b[0m items \u001b[38;5;241m=\u001b[39m []\n\u001b[0;32m--> 732\u001b[0m page \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mawait\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_call(\n\u001b[1;32m 733\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mGET\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 734\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb/\u001b[39m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;124m/o\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 735\u001b[0m bucket,\n\u001b[1;32m 736\u001b[0m delimiter\u001b[38;5;241m=\u001b[39mdelimiter,\n\u001b[1;32m 737\u001b[0m prefix\u001b[38;5;241m=\u001b[39mprefix,\n\u001b[1;32m 738\u001b[0m startOffset\u001b[38;5;241m=\u001b[39mstart_offset,\n\u001b[1;32m 739\u001b[0m endOffset\u001b[38;5;241m=\u001b[39mend_offset,\n\u001b[1;32m 740\u001b[0m maxResults\u001b[38;5;241m=\u001b[39mpage_size,\n\u001b[1;32m 741\u001b[0m json_out\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m,\n\u001b[1;32m 742\u001b[0m versions\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtrue\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m versions \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m 743\u001b[0m )\n\u001b[1;32m 745\u001b[0m prefixes\u001b[38;5;241m.\u001b[39mextend(page\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mprefixes\u001b[39m\u001b[38;5;124m\"\u001b[39m, []))\n\u001b[1;32m 746\u001b[0m items\u001b[38;5;241m.\u001b[39mextend(page\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mitems\u001b[39m\u001b[38;5;124m\"\u001b[39m, []))\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/gcsfs/core.py:437\u001b[0m, in \u001b[0;36mGCSFileSystem._call\u001b[0;34m(self, method, path, json_out, info_out, *args, **kwargs)\u001b[0m\n\u001b[1;32m 433\u001b[0m \u001b[38;5;28;01masync\u001b[39;00m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_call\u001b[39m(\n\u001b[1;32m 434\u001b[0m \u001b[38;5;28mself\u001b[39m, method, path, \u001b[38;5;241m*\u001b[39margs, json_out\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m, info_out\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs\n\u001b[1;32m 435\u001b[0m ):\n\u001b[1;32m 436\u001b[0m logger\u001b[38;5;241m.\u001b[39mdebug(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmethod\u001b[38;5;241m.\u001b[39mupper()\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mpath\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m, \u001b[39m\u001b[38;5;132;01m{\u001b[39;00margs\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m, \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mkwargs\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mheaders\u001b[39m\u001b[38;5;124m'\u001b[39m)\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m--> 437\u001b[0m status, headers, info, contents \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mawait\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_request(\n\u001b[1;32m 438\u001b[0m method, path, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs\n\u001b[1;32m 439\u001b[0m )\n\u001b[1;32m 440\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m json_out:\n\u001b[1;32m 441\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m json\u001b[38;5;241m.\u001b[39mloads(contents)\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/decorator.py:221\u001b[0m, in \u001b[0;36mdecorate..fun\u001b[0;34m(*args, **kw)\u001b[0m\n\u001b[1;32m 219\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m kwsyntax:\n\u001b[1;32m 220\u001b[0m args, kw \u001b[38;5;241m=\u001b[39m fix(args, kw, sig)\n\u001b[0;32m--> 221\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mawait\u001b[39;00m caller(func, \u001b[38;5;241m*\u001b[39m(extras \u001b[38;5;241m+\u001b[39m args), \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkw)\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/gcsfs/retry.py:158\u001b[0m, in \u001b[0;36mretry_request\u001b[0;34m(func, retries, *args, **kwargs)\u001b[0m\n\u001b[1;32m 156\u001b[0m \u001b[38;5;28;01mcontinue\u001b[39;00m\n\u001b[1;32m 157\u001b[0m logger\u001b[38;5;241m.\u001b[39mexception(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfunc\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m non-retriable exception: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00me\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m--> 158\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m e\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/gcsfs/retry.py:123\u001b[0m, in \u001b[0;36mretry_request\u001b[0;34m(func, retries, *args, **kwargs)\u001b[0m\n\u001b[1;32m 121\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m retry \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[1;32m 122\u001b[0m \u001b[38;5;28;01mawait\u001b[39;00m asyncio\u001b[38;5;241m.\u001b[39msleep(\u001b[38;5;28mmin\u001b[39m(random\u001b[38;5;241m.\u001b[39mrandom() \u001b[38;5;241m+\u001b[39m \u001b[38;5;241m2\u001b[39m \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m (retry \u001b[38;5;241m-\u001b[39m \u001b[38;5;241m1\u001b[39m), \u001b[38;5;241m32\u001b[39m))\n\u001b[0;32m--> 123\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mawait\u001b[39;00m func(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m 124\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m (\n\u001b[1;32m 125\u001b[0m HttpError,\n\u001b[1;32m 126\u001b[0m requests\u001b[38;5;241m.\u001b[39mexceptions\u001b[38;5;241m.\u001b[39mRequestException,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 129\u001b[0m aiohttp\u001b[38;5;241m.\u001b[39mclient_exceptions\u001b[38;5;241m.\u001b[39mClientError,\n\u001b[1;32m 130\u001b[0m ) \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m 131\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m (\n\u001b[1;32m 132\u001b[0m \u001b[38;5;28misinstance\u001b[39m(e, HttpError)\n\u001b[1;32m 133\u001b[0m \u001b[38;5;129;01mand\u001b[39;00m e\u001b[38;5;241m.\u001b[39mcode \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m400\u001b[39m\n\u001b[1;32m 134\u001b[0m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrequester pays\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01min\u001b[39;00m e\u001b[38;5;241m.\u001b[39mmessage\n\u001b[1;32m 135\u001b[0m ):\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/gcsfs/core.py:430\u001b[0m, in \u001b[0;36mGCSFileSystem._request\u001b[0;34m(self, method, path, headers, json, data, *args, **kwargs)\u001b[0m\n\u001b[1;32m 427\u001b[0m info \u001b[38;5;241m=\u001b[39m r\u001b[38;5;241m.\u001b[39mrequest_info \u001b[38;5;66;03m# for debug only\u001b[39;00m\n\u001b[1;32m 428\u001b[0m contents \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mawait\u001b[39;00m r\u001b[38;5;241m.\u001b[39mread()\n\u001b[0;32m--> 430\u001b[0m \u001b[43mvalidate_response\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstatus\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcontents\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpath\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 431\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m status, headers, info, contents\n", - "File \u001b[0;32m~/miniconda3/envs/malariagen_plink/lib/python3.8/site-packages/gcsfs/retry.py:110\u001b[0m, in \u001b[0;36mvalidate_response\u001b[0;34m(status, content, path, args)\u001b[0m\n\u001b[1;32m 108\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mBad Request: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mpath\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;132;01m{\u001b[39;00mmsg\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 109\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m error:\n\u001b[0;32m--> 110\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m HttpError(error)\n\u001b[1;32m 111\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m status:\n\u001b[1;32m 112\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m HttpError({\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcode\u001b[39m\u001b[38;5;124m\"\u001b[39m: status, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmessage\u001b[39m\u001b[38;5;124m\"\u001b[39m: msg}) \u001b[38;5;66;03m# text-like\u001b[39;00m\n", - "\u001b[0;31mHttpError\u001b[0m: Anonymous caller does not have storage.objects.list access to the Google Cloud Storage bucket. Permission 'storage.objects.list' denied on resource (or it may not exist)., 401" - ] } ], "source": [ "import malariagen_data\n", + "import os \n", "\n", "ag3 = malariagen_data.Ag3(pre=True)" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -124,7 +39,7 @@ } ], "source": [ - "ag3.biallelic_snps_to_plink(results_dir='/Users/dennistpw/Projects/malariagen-data-python/',\n", + "ag3.biallelic_snps_to_plink(output_dir=os.getcwd(),\n", " region='2L:100000-2000000',\n", " n_snps=2000,\n", " sample_sets='AG1000G-AO',\n", @@ -148,7 +63,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.19" + "version": "3.12.5" } }, "nbformat": 4, From 38b95109471cce3266531bc8ebbc7943f663af4b Mon Sep 17 00:00:00 2001 From: Tristan Dennis Date: Mon, 25 Nov 2024 09:49:32 +1000 Subject: [PATCH 29/42] Update malariagen_data/anoph/to_plink.py Co-authored-by: Alistair Miles --- malariagen_data/anoph/to_plink.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/malariagen_data/anoph/to_plink.py b/malariagen_data/anoph/to_plink.py index 86801521d..89f56b2ce 100644 --- a/malariagen_data/anoph/to_plink.py +++ b/malariagen_data/anoph/to_plink.py @@ -33,7 +33,7 @@ def _create_plink_outfile( thin_offset, max_missing_an, ): - return f"{output_dir}/{region}.{n_snps}.{min_minor_ac}.{thin_offset}.{max_missing_an}" + return f"{output_dir}/{region}.{n_snps}.{min_minor_ac}.{max_missing_an}.{thin_offset}" def _biallelic_snps_to_plink( self, From b48abf4026596ca8e00528d8e2281a1bb159bf98 Mon Sep 17 00:00:00 2001 From: Tristan Dennis Date: Mon, 25 Nov 2024 09:50:34 +1000 Subject: [PATCH 30/42] add bool type definition --- malariagen_data/anoph/to_plink.py | 2 +- notebooks/plink_convert.ipynb | 25 ++----------------------- 2 files changed, 3 insertions(+), 24 deletions(-) diff --git a/malariagen_data/anoph/to_plink.py b/malariagen_data/anoph/to_plink.py index 86801521d..4ab36f73a 100644 --- a/malariagen_data/anoph/to_plink.py +++ b/malariagen_data/anoph/to_plink.py @@ -128,7 +128,7 @@ def biallelic_snps_to_plink( region: base_params.regions, n_snps: base_params.n_snps, thin_offset: base_params.thin_offset = 0, - overwrite=False, + overwrite: bool = False, sample_sets: Optional[base_params.sample_sets] = None, sample_query: Optional[base_params.sample_query] = None, sample_indices: Optional[base_params.sample_indices] = None, diff --git a/notebooks/plink_convert.ipynb b/notebooks/plink_convert.ipynb index 305409f2f..deb9b984b 100644 --- a/notebooks/plink_convert.ipynb +++ b/notebooks/plink_convert.ipynb @@ -4,16 +4,7 @@ "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "application/javascript": "'use strict';\n(function(root) {\n function now() {\n return new Date();\n }\n\n const force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\nconst JS_MIME_TYPE = 'application/javascript';\n const HTML_MIME_TYPE = 'text/html';\n const EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n const CLASS_NAME = 'output_bokeh rendered_html';\n\n /**\n * Render data to the DOM node\n */\n function render(props, node) {\n const script = document.createElement(\"script\");\n node.appendChild(script);\n }\n\n /**\n * Handle when an output is cleared or removed\n */\n function handleClearOutput(event, handle) {\n function drop(id) {\n const view = Bokeh.index.get_by_id(id)\n if (view != null) {\n view.model.document.clear()\n Bokeh.index.delete(view)\n }\n }\n\n const cell = handle.cell;\n\n const id = cell.output_area._bokeh_element_id;\n const server_id = cell.output_area._bokeh_server_id;\n\n // Clean up Bokeh references\n if (id != null) {\n drop(id)\n }\n\n if (server_id !== undefined) {\n // Clean up Bokeh references\n const cmd_clean = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n cell.notebook.kernel.execute(cmd_clean, {\n iopub: {\n output: function(msg) {\n const id = msg.content.text.trim()\n drop(id)\n }\n }\n });\n // Destroy server and session\n const cmd_destroy = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n cell.notebook.kernel.execute(cmd_destroy);\n }\n }\n\n /**\n * Handle when a new output is added\n */\n function handleAddOutput(event, handle) {\n const output_area = handle.output_area;\n const output = handle.output;\n\n // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n return\n }\n\n const toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n\n if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n // store reference to embed id on output_area\n output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n }\n if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n const bk_div = document.createElement(\"div\");\n bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n const script_attrs = bk_div.children[0].attributes;\n for (let i = 0; i < script_attrs.length; i++) {\n toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n }\n // store reference to server id on output_area\n output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n }\n }\n\n function register_renderer(events, OutputArea) {\n\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n const toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n const props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[toinsert.length - 1]);\n element.append(toinsert);\n return toinsert\n }\n\n /* Handle when an output is cleared or removed */\n events.on('clear_output.CodeCell', handleClearOutput);\n events.on('delete.Cell', handleClearOutput);\n\n /* Handle when a new output is added */\n events.on('output_added.OutputArea', handleAddOutput);\n\n /**\n * Register the mime type and append_mime function with output_area\n */\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n /* Is output safe? */\n safe: true,\n /* Index of renderer in `output_area.display_order` */\n index: 0\n });\n }\n\n // register the mime type if in Jupyter Notebook environment and previously unregistered\n if (root.Jupyter !== undefined) {\n const events = require('base/js/events');\n const OutputArea = require('notebook/js/outputarea').OutputArea;\n\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n }\n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n const NB_LOAD_WARNING = {'data': {'text/html':\n \"
      \\n\"+\n \"

      \\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"

      \\n\"+\n \"
        \\n\"+\n \"
      • re-rerun `output_notebook()` to attempt to load from CDN again, or
        • \\n\"+\n \"
      • use INLINE resources instead, as so:
        • \\n\"+\n \"
      \\n\"+\n \"\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
      \"}};\n\n function display_loaded(error = null) {\n const el = document.getElementById(null);\n if (el != null) {\n const html = (() => {\n if (typeof root.Bokeh === \"undefined\") {\n if (error == null) {\n return \"BokehJS is loading ...\";\n } else {\n return \"BokehJS failed to load.\";\n }\n } else {\n const prefix = `BokehJS ${root.Bokeh.version}`;\n if (error == null) {\n return `${prefix} successfully loaded.`;\n } else {\n return `${prefix} encountered errors while loading and may not function as expected.`;\n }\n }\n })();\n el.innerHTML = html;\n\n if (error != null) {\n const wrapper = document.createElement(\"div\");\n wrapper.style.overflow = \"auto\";\n wrapper.style.height = \"5em\";\n wrapper.style.resize = \"vertical\";\n const content = document.createElement(\"div\");\n content.style.fontFamily = \"monospace\";\n content.style.whiteSpace = \"pre-wrap\";\n content.style.backgroundColor = \"rgb(255, 221, 221)\";\n content.textContent = error.stack ?? error.toString();\n wrapper.append(content);\n el.append(wrapper);\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(() => display_loaded(error), 100);\n }\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error(url) {\n console.error(\"failed to load \" + url);\n }\n\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n }\n\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.5.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.5.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.5.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.5.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-3.5.2.min.js\"];\n const css_urls = [];\n\n const inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {\n }\n ];\n\n function run_inline_js() {\n if (root.Bokeh !== undefined || force === true) {\n try {\n for (let i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\n\n } catch (error) {throw error;\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n const cell = $(document.getElementById(null)).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));", - "application/vnd.bokehjs_load.v0+json": "" - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "import malariagen_data\n", "import os \n", @@ -25,19 +16,7 @@ "cell_type": "code", "execution_count": null, "metadata": {}, - "outputs": [ - { - "ename": "AttributeError", - "evalue": "'Ag3' object has no attribute 'biallelic_snps_to_plink'", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[7], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mag3\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbiallelic_snps_to_plink\u001b[49m(results_dir\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m/Users/dennistpw/Projects/malariagen-data-python/\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[1;32m 2\u001b[0m region\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m2L:100000-2000000\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[1;32m 3\u001b[0m n_snps\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m2000\u001b[39m,\n\u001b[1;32m 4\u001b[0m sample_sets\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mAG1000G-AO\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[1;32m 5\u001b[0m )\n", - "\u001b[0;31mAttributeError\u001b[0m: 'Ag3' object has no attribute 'biallelic_snps_to_plink'" - ] - } - ], + "outputs": [], "source": [ "ag3.biallelic_snps_to_plink(output_dir=os.getcwd(),\n", " region='2L:100000-2000000',\n", From 67301231e5845592b88ed8b17d7b26983296f5ec Mon Sep 17 00:00:00 2001 From: Tristan Dennis Date: Mon, 25 Nov 2024 10:01:57 +1000 Subject: [PATCH 31/42] add docstring --- malariagen_data/anoph/to_plink.py | 21 +++++++++++++++++++++ tests/anoph/test_plink_converter.py | 2 +- 2 files changed, 22 insertions(+), 1 deletion(-) diff --git a/malariagen_data/anoph/to_plink.py b/malariagen_data/anoph/to_plink.py index 4d5d196f7..e9ce42eb8 100644 --- a/malariagen_data/anoph/to_plink.py +++ b/malariagen_data/anoph/to_plink.py @@ -9,6 +9,7 @@ from .snp_data import AnophelesSnpData from . import base_params from . import pca_params +from numpydoc_decorator import doc # type: ignore class PlinkConverter( @@ -23,6 +24,26 @@ def __init__( # to the superclass constructor. super().__init__(**kwargs) + @doc( + summary=""" + Write Anopheles biallelic SNP data to the Plink binary file format. + """, + extended_summary=""" + This function writes biallelic SNPs to the Plink binary file format. It enables + subsetting to specific regions (`region`), selecting specific sample sets, or lists of + samples, randomly downsampling sites, and specifying filters based on missing data and + minimum minor allele count (see the docs for `biallelic_snp_calls` for more information). + The `overwrite` parameter, set to true, will enable overwrite of data with the same + hash values (e.g. with a different randomly selected number of sites). + """, + returns=("Binary Plink output files: .bed, .bim, .fam"), + notes=""" + This computation may take some time to run, depending on your computing + environment. Unless the `overwrite` parameter is set to `True`, results will be loaded + from a previous computation, if performed, and if the `results_cache` parameter was + set when instantiating the API client. + """, + ) def _create_plink_outfile( self, *, diff --git a/tests/anoph/test_plink_converter.py b/tests/anoph/test_plink_converter.py index 81a1bf42c..1f26b889e 100644 --- a/tests/anoph/test_plink_converter.py +++ b/tests/anoph/test_plink_converter.py @@ -105,7 +105,7 @@ def test_plink_converter(fixture, api: PlinkConverter, tmp_path): api.biallelic_snps_to_plink(**plink_params) # Test to see if bed, bim, fam output files exist. - file_path = f"{tmp_path}/{plink_params['region']}.{plink_params['n_snps']}.{plink_params['min_minor_ac']}.{plink_params['thin_offset']}.{plink_params['max_missing_an']}" + file_path = f"{tmp_path}/{plink_params['region']}.{plink_params['n_snps']}.{plink_params['min_minor_ac']}.{plink_params['max_missing_an']}.{plink_params['thin_offset']}" assert os.path.exists(f"{file_path}.bed") assert os.path.exists(f"{file_path}.bim") From 92e83401c22644cd402abf6281582611c37c2c66 Mon Sep 17 00:00:00 2001 From: Tristan Dennis Date: Mon, 25 Nov 2024 10:06:36 +1000 Subject: [PATCH 32/42] fix function definitions --- malariagen_data/anoph/to_plink.py | 74 ++++++++----------------------- 1 file changed, 18 insertions(+), 56 deletions(-) diff --git a/malariagen_data/anoph/to_plink.py b/malariagen_data/anoph/to_plink.py index e9ce42eb8..fe2ac1fa6 100644 --- a/malariagen_data/anoph/to_plink.py +++ b/malariagen_data/anoph/to_plink.py @@ -56,23 +56,26 @@ def _create_plink_outfile( ): return f"{output_dir}/{region}.{n_snps}.{min_minor_ac}.{max_missing_an}.{thin_offset}" - def _biallelic_snps_to_plink( + def biallelic_snps_to_plink( self, - *, output_dir, - region, - n_snps, - thin_offset, - overwrite, - sample_sets, - sample_query, - sample_indices, - site_mask, - min_minor_ac, - max_missing_an, - random_seed, - inline_array, - chunks, + region: base_params.regions, + n_snps: base_params.n_snps, + thin_offset: base_params.thin_offset = 0, + overwrite: bool = False, + sample_sets: Optional[base_params.sample_sets] = None, + sample_query: Optional[base_params.sample_query] = None, + sample_indices: Optional[base_params.sample_indices] = None, + site_mask: Optional[base_params.site_mask] = None, + min_minor_ac: Optional[ + base_params.min_minor_ac + ] = pca_params.min_minor_ac_default, + max_missing_an: Optional[ + base_params.max_missing_an + ] = pca_params.max_missing_an_default, + random_seed: base_params.random_seed = 42, + inline_array: base_params.inline_array = base_params.inline_array_default, + chunks: base_params.chunks = base_params.native_chunks, ): # Define output file plink_file_path = self._create_plink_outfile( @@ -142,44 +145,3 @@ def _biallelic_snps_to_plink( ) return plink_file_path - - def biallelic_snps_to_plink( - self, - output_dir, - region: base_params.regions, - n_snps: base_params.n_snps, - thin_offset: base_params.thin_offset = 0, - overwrite: bool = False, - sample_sets: Optional[base_params.sample_sets] = None, - sample_query: Optional[base_params.sample_query] = None, - sample_indices: Optional[base_params.sample_indices] = None, - site_mask: Optional[base_params.site_mask] = None, - min_minor_ac: Optional[ - base_params.min_minor_ac - ] = pca_params.min_minor_ac_default, - max_missing_an: Optional[ - base_params.max_missing_an - ] = pca_params.max_missing_an_default, - random_seed: base_params.random_seed = 42, - inline_array: base_params.inline_array = base_params.inline_array_default, - chunks: base_params.chunks = base_params.native_chunks, - ): - params = dict( - output_dir=output_dir, - region=region, - n_snps=n_snps, - thin_offset=thin_offset, - overwrite=overwrite, - sample_sets=sample_sets, - sample_query=sample_query, - sample_indices=sample_indices, - site_mask=site_mask, - min_minor_ac=min_minor_ac, - max_missing_an=max_missing_an, - random_seed=random_seed, - ) - - filepath = self._biallelic_snps_to_plink( - inline_array=inline_array, chunks=chunks, **params - ) - return filepath From fb08e1c9e58f9e879ea5d769aee4400770d75c7e Mon Sep 17 00:00:00 2001 From: Tristan Dennis Date: Mon, 25 Nov 2024 10:12:26 +1000 Subject: [PATCH 33/42] add overwrite to base params and finish docstring --- docs/source/Af1.rst | 1 + docs/source/Ag3.rst | 1 + 2 files changed, 2 insertions(+) diff --git a/docs/source/Af1.rst b/docs/source/Af1.rst index ace32c2b1..5ef355a48 100644 --- a/docs/source/Af1.rst +++ b/docs/source/Af1.rst @@ -71,6 +71,7 @@ SNP data access is_accessible biallelic_snp_calls biallelic_diplotypes + biallelic_snps_to_plink Haplotype data access --------------------- diff --git a/docs/source/Ag3.rst b/docs/source/Ag3.rst index 17dbc522c..ce9876e13 100644 --- a/docs/source/Ag3.rst +++ b/docs/source/Ag3.rst @@ -72,6 +72,7 @@ SNP data access is_accessible biallelic_snp_calls biallelic_diplotypes + biallelic_snps_to_plink Haplotype data access --------------------- From dab86ecf4d231ca8098fd541364b4bf4b86949a7 Mon Sep 17 00:00:00 2001 From: Tristan Dennis Date: Mon, 25 Nov 2024 10:13:03 +1000 Subject: [PATCH 34/42] fix docstring and base params --- malariagen_data/anoph/base_params.py | 8 ++++++++ malariagen_data/anoph/to_plink.py | 2 +- 2 files changed, 9 insertions(+), 1 deletion(-) diff --git a/malariagen_data/anoph/base_params.py b/malariagen_data/anoph/base_params.py index 87e7a704e..0c73cd58f 100644 --- a/malariagen_data/anoph/base_params.py +++ b/malariagen_data/anoph/base_params.py @@ -308,3 +308,11 @@ def validate_sample_selection_params( to select SNPs to be included """, ] + +overwrite: TypeAlias = Annotated[ + bool, + """ + A boolean indicating whether a previously written file with the same name ought + to be overwritten. Default is False. + """, +] diff --git a/malariagen_data/anoph/to_plink.py b/malariagen_data/anoph/to_plink.py index fe2ac1fa6..0d822c3fc 100644 --- a/malariagen_data/anoph/to_plink.py +++ b/malariagen_data/anoph/to_plink.py @@ -62,7 +62,7 @@ def biallelic_snps_to_plink( region: base_params.regions, n_snps: base_params.n_snps, thin_offset: base_params.thin_offset = 0, - overwrite: bool = False, + overwrite: base_params.overwrite = False, sample_sets: Optional[base_params.sample_sets] = None, sample_query: Optional[base_params.sample_query] = None, sample_indices: Optional[base_params.sample_indices] = None, From 033fc8a5ab302e80504a3719bc9978ac87b3e9f2 Mon Sep 17 00:00:00 2001 From: Tristan Dennis Date: Mon, 25 Nov 2024 10:20:37 +1000 Subject: [PATCH 35/42] update output dir type def --- malariagen_data/anoph/base_params.py | 7 +++++++ malariagen_data/anoph/to_plink.py | 2 +- 2 files changed, 8 insertions(+), 1 deletion(-) diff --git a/malariagen_data/anoph/base_params.py b/malariagen_data/anoph/base_params.py index 0c73cd58f..53706c017 100644 --- a/malariagen_data/anoph/base_params.py +++ b/malariagen_data/anoph/base_params.py @@ -316,3 +316,10 @@ def validate_sample_selection_params( to be overwritten. Default is False. """, ] + +output_dir: TypeAlias = Annotated[ + str, + """ + A string indicating the desired output file location + """, +] diff --git a/malariagen_data/anoph/to_plink.py b/malariagen_data/anoph/to_plink.py index 0d822c3fc..091c77e0c 100644 --- a/malariagen_data/anoph/to_plink.py +++ b/malariagen_data/anoph/to_plink.py @@ -58,7 +58,7 @@ def _create_plink_outfile( def biallelic_snps_to_plink( self, - output_dir, + output_dir: base_params.output_dir, region: base_params.regions, n_snps: base_params.n_snps, thin_offset: base_params.thin_offset = 0, From c3d711827055328cb1f907a03ff71686cdaab054 Mon Sep 17 00:00:00 2001 From: Tristan Dennis Date: Mon, 25 Nov 2024 10:39:12 +1000 Subject: [PATCH 36/42] make plink_params.py containing overwrite and output dir, fix type defs and docstring --- malariagen_data/anoph/base_params.py | 15 -------------- malariagen_data/anoph/plink_params.py | 18 +++++++++++++++++ malariagen_data/anoph/to_plink.py | 28 +++++---------------------- 3 files changed, 23 insertions(+), 38 deletions(-) create mode 100644 malariagen_data/anoph/plink_params.py diff --git a/malariagen_data/anoph/base_params.py b/malariagen_data/anoph/base_params.py index 53706c017..87e7a704e 100644 --- a/malariagen_data/anoph/base_params.py +++ b/malariagen_data/anoph/base_params.py @@ -308,18 +308,3 @@ def validate_sample_selection_params( to select SNPs to be included """, ] - -overwrite: TypeAlias = Annotated[ - bool, - """ - A boolean indicating whether a previously written file with the same name ought - to be overwritten. Default is False. - """, -] - -output_dir: TypeAlias = Annotated[ - str, - """ - A string indicating the desired output file location - """, -] diff --git a/malariagen_data/anoph/plink_params.py b/malariagen_data/anoph/plink_params.py new file mode 100644 index 000000000..6defcb669 --- /dev/null +++ b/malariagen_data/anoph/plink_params.py @@ -0,0 +1,18 @@ +"""Parameters for Plink converter functions.""" + +from typing_extensions import Annotated, TypeAlias + +overwrite: TypeAlias = Annotated[ + bool, + """ + A boolean indicating whether a previously written file with the same name ought + to be overwritten. Default is False. + """, +] + +output_dir: TypeAlias = Annotated[ + str, + """ + A string indicating the desired output file location + """, +] diff --git a/malariagen_data/anoph/to_plink.py b/malariagen_data/anoph/to_plink.py index 091c77e0c..675982573 100644 --- a/malariagen_data/anoph/to_plink.py +++ b/malariagen_data/anoph/to_plink.py @@ -8,6 +8,7 @@ from ..util import dask_compress_dataset from .snp_data import AnophelesSnpData from . import base_params +from . import plink_params from . import pca_params from numpydoc_decorator import doc # type: ignore @@ -44,25 +45,13 @@ def __init__( set when instantiating the API client. """, ) - def _create_plink_outfile( - self, - *, - output_dir, - region, - n_snps, - min_minor_ac, - thin_offset, - max_missing_an, - ): - return f"{output_dir}/{region}.{n_snps}.{min_minor_ac}.{max_missing_an}.{thin_offset}" - def biallelic_snps_to_plink( self, - output_dir: base_params.output_dir, + output_dir: plink_params.output_dir, region: base_params.regions, n_snps: base_params.n_snps, + overwrite: plink_params.overwrite = False, thin_offset: base_params.thin_offset = 0, - overwrite: base_params.overwrite = False, sample_sets: Optional[base_params.sample_sets] = None, sample_query: Optional[base_params.sample_query] = None, sample_indices: Optional[base_params.sample_indices] = None, @@ -77,15 +66,8 @@ def biallelic_snps_to_plink( inline_array: base_params.inline_array = base_params.inline_array_default, chunks: base_params.chunks = base_params.native_chunks, ): - # Define output file - plink_file_path = self._create_plink_outfile( - output_dir=output_dir, - region=region, - n_snps=n_snps, - thin_offset=thin_offset, - min_minor_ac=min_minor_ac, - max_missing_an=max_missing_an, - ) + # Define output files + plink_file_path = f"{output_dir}/{region}.{n_snps}.{min_minor_ac}.{max_missing_an}.{thin_offset}" bed_file_path = f"{plink_file_path}.bed" From d235b764c1ff0dbc097f29d6e6ee31408c3296b0 Mon Sep 17 00:00:00 2001 From: Tristan Dennis Date: Wed, 27 Nov 2024 08:47:55 +1000 Subject: [PATCH 37/42] Update malariagen_data/anoph/plink_params.py Co-authored-by: Alistair Miles --- malariagen_data/anoph/plink_params.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/malariagen_data/anoph/plink_params.py b/malariagen_data/anoph/plink_params.py index 6defcb669..094670a7c 100644 --- a/malariagen_data/anoph/plink_params.py +++ b/malariagen_data/anoph/plink_params.py @@ -13,6 +13,6 @@ output_dir: TypeAlias = Annotated[ str, """ - A string indicating the desired output file location + A string indicating the desired output file location. """, ] From c62307c611a8bec0177691fde8c49be3ac6316d9 Mon Sep 17 00:00:00 2001 From: Tristan Dennis Date: Wed, 27 Nov 2024 08:48:12 +1000 Subject: [PATCH 38/42] Update malariagen_data/anoph/to_plink.py Co-authored-by: Alistair Miles --- malariagen_data/anoph/to_plink.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/malariagen_data/anoph/to_plink.py b/malariagen_data/anoph/to_plink.py index 675982573..2559cafc1 100644 --- a/malariagen_data/anoph/to_plink.py +++ b/malariagen_data/anoph/to_plink.py @@ -35,7 +35,7 @@ def __init__( samples, randomly downsampling sites, and specifying filters based on missing data and minimum minor allele count (see the docs for `biallelic_snp_calls` for more information). The `overwrite` parameter, set to true, will enable overwrite of data with the same - hash values (e.g. with a different randomly selected number of sites). + SNP selection parameter values. """, returns=("Binary Plink output files: .bed, .bim, .fam"), notes=""" From 4605612e2eb98dedcbba85fff240bb9462e6551f Mon Sep 17 00:00:00 2001 From: Tristan Dennis Date: Wed, 27 Nov 2024 08:48:43 +1000 Subject: [PATCH 39/42] Update malariagen_data/anoph/to_plink.py Co-authored-by: Alistair Miles --- malariagen_data/anoph/to_plink.py | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/malariagen_data/anoph/to_plink.py b/malariagen_data/anoph/to_plink.py index 2559cafc1..a156a1ef9 100644 --- a/malariagen_data/anoph/to_plink.py +++ b/malariagen_data/anoph/to_plink.py @@ -40,9 +40,8 @@ def __init__( returns=("Binary Plink output files: .bed, .bim, .fam"), notes=""" This computation may take some time to run, depending on your computing - environment. Unless the `overwrite` parameter is set to `True`, results will be loaded - from a previous computation, if performed, and if the `results_cache` parameter was - set when instantiating the API client. + environment. Unless the `overwrite` parameter is set to `True`, results will be returned + from a previous computation, if available. """, ) def biallelic_snps_to_plink( From 23d8c3a992245f518e886720fdb186c2fd6d1ef6 Mon Sep 17 00:00:00 2001 From: Tristan Dennis Date: Wed, 27 Nov 2024 08:49:00 +1000 Subject: [PATCH 40/42] Update malariagen_data/anoph/to_plink.py Co-authored-by: Alistair Miles --- malariagen_data/anoph/to_plink.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/malariagen_data/anoph/to_plink.py b/malariagen_data/anoph/to_plink.py index a156a1ef9..93261b4f2 100644 --- a/malariagen_data/anoph/to_plink.py +++ b/malariagen_data/anoph/to_plink.py @@ -54,7 +54,7 @@ def biallelic_snps_to_plink( sample_sets: Optional[base_params.sample_sets] = None, sample_query: Optional[base_params.sample_query] = None, sample_indices: Optional[base_params.sample_indices] = None, - site_mask: Optional[base_params.site_mask] = None, + site_mask: Optional[base_params.site_mask] = base_params.DEFAULT, min_minor_ac: Optional[ base_params.min_minor_ac ] = pca_params.min_minor_ac_default, From c5621065871d98fdd3009a028993aa1e0ef5c067 Mon Sep 17 00:00:00 2001 From: Tristan Dennis Date: Wed, 27 Nov 2024 08:49:09 +1000 Subject: [PATCH 41/42] Update malariagen_data/anoph/to_plink.py Co-authored-by: Alistair Miles --- malariagen_data/anoph/to_plink.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/malariagen_data/anoph/to_plink.py b/malariagen_data/anoph/to_plink.py index 93261b4f2..398011f4b 100644 --- a/malariagen_data/anoph/to_plink.py +++ b/malariagen_data/anoph/to_plink.py @@ -37,7 +37,11 @@ def __init__( The `overwrite` parameter, set to true, will enable overwrite of data with the same SNP selection parameter values. """, - returns=("Binary Plink output files: .bed, .bim, .fam"), + returns=""" + Base path to files containing binary Plink output files. Append .bed, + .bim or .fam to obtain paths for the binary genotype table file, variant + information file and sample information file respectively. + """, notes=""" This computation may take some time to run, depending on your computing environment. Unless the `overwrite` parameter is set to `True`, results will be returned From de0b36ced8a6844985da13313572ed1ba31a0aba Mon Sep 17 00:00:00 2001 From: Tristan Dennis Date: Wed, 27 Nov 2024 21:28:08 +1000 Subject: [PATCH 42/42] coerce tmp_path from posix to str --- tests/anoph/test_plink_converter.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/anoph/test_plink_converter.py b/tests/anoph/test_plink_converter.py index 1f26b889e..dac3b8d9d 100644 --- a/tests/anoph/test_plink_converter.py +++ b/tests/anoph/test_plink_converter.py @@ -99,13 +99,13 @@ def test_plink_converter(fixture, api: PlinkConverter, tmp_path): n_snps = random.randint(1, n_snps_available) # Define plink params. - plink_params = dict(output_dir=tmp_path, n_snps=n_snps, **data_params) + plink_params = dict(output_dir=str(tmp_path), n_snps=n_snps, **data_params) # Make the plink files. api.biallelic_snps_to_plink(**plink_params) # Test to see if bed, bim, fam output files exist. - file_path = f"{tmp_path}/{plink_params['region']}.{plink_params['n_snps']}.{plink_params['min_minor_ac']}.{plink_params['max_missing_an']}.{plink_params['thin_offset']}" + file_path = f"{str(tmp_path)}/{plink_params['region']}.{plink_params['n_snps']}.{plink_params['min_minor_ac']}.{plink_params['max_missing_an']}.{plink_params['thin_offset']}" assert os.path.exists(f"{file_path}.bed") assert os.path.exists(f"{file_path}.bim")