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-rw-r--r--gn3/data_helpers.py28
1 files changed, 21 insertions, 7 deletions
diff --git a/gn3/data_helpers.py b/gn3/data_helpers.py
index d3f942b..268a0bb 100644
--- a/gn3/data_helpers.py
+++ b/gn3/data_helpers.py
@@ -5,9 +5,9 @@ data structures.
from math import ceil
from functools import reduce
-from typing import Any, Tuple, Sequence, Optional
+from typing import Any, Tuple, Sequence, Optional, Generator
-def partition_all(num: int, items: Sequence[Any]) -> Tuple[Tuple[Any, ...], ...]:
+def partition_all(num: int, items: Sequence[Any]) -> Generator:
"""
Given a sequence `items`, return a new sequence of the same type as `items`
with the data partitioned into sections of `n` items per partition.
@@ -19,10 +19,24 @@ def partition_all(num: int, items: Sequence[Any]) -> Tuple[Tuple[Any, ...], ...]
return acc + ((start, start + num),)
iterations = range(ceil(len(items) / num))
- return tuple([# type: ignore[misc]
- tuple(items[start:stop]) for start, stop # type: ignore[has-type]
- in reduce(
- __compute_start_stop__, iterations, tuple())])
+ for start, stop in reduce(# type: ignore[misc]
+ __compute_start_stop__, iterations, tuple()):
+ yield tuple(items[start:stop]) # type: ignore[has-type]
+
+def partition_by(partition_fn, items):
+ """
+ Given a sequence `items`, return a tuple of tuples, each of which contain
+ the values in `items` partitioned such that the first item in each internal
+ tuple, when passed to `partition_function` returns True.
+
+ This is an approximation of Clojure's `partition-by` function.
+ """
+ def __partitioner__(accumulator, item):
+ if partition_fn(item):
+ return accumulator + ((item,),)
+ return accumulator[:-1] + (accumulator[-1] + (item,),)
+
+ return reduce(__partitioner__, items, tuple())
def parse_csv_line(
line: str, delimiter: str = ",",
@@ -34,4 +48,4 @@ def parse_csv_line(
function in GeneNetwork1.
"""
return tuple(
- col.strip("{} \t\n".format(quoting)) for col in line.split(delimiter))
+ col.strip(f"{quoting} \t\n") for col in line.split(delimiter))