Release v1.26.0

This release adds one new check and a bunch of bug fixes!

Add use-fluent-interface (FURB184)

When an API has a Fluent Interface (the ability to chain multiple calls together), you should chain those calls instead of repeatedly assigning and using the value. Sometimes a return statement can be written more succinctly:

Bad:

def get_tensors(device: str) -> torch.Tensor:
    t1 = torch.ones(2, 1)
    t2 = t1.long()
    t3 = t2.to(device)
    return t3

def process(file_name: str):
    common_columns = ["col1_renamed", "col2_renamed", "custom_col"]
    df = spark.read.parquet(file_name)
    df = df \
        .withColumnRenamed('col1', 'col1_renamed') \
        .withColumnRenamed('col2', 'col2_renamed')
    df = df \
        .select(common_columns) \
        .withColumn('service_type', F.lit('green'))
    return df

Good:

def get_tensors(device: str) -> torch.Tensor:
    t3 = (
        torch.ones(2, 1)
        .long()
        .to(device)
    )
    return t3

def process(file_name: str):
    common_columns = ["col1_renamed", "col2_renamed", "custom_col"]
    df = (
        spark.read.parquet(file_name)
        .withColumnRenamed('col1', 'col1_renamed')
        .withColumnRenamed('col2', 'col2_renamed')
        .select(common_columns)
        .withColumn('service_type', F.lit('green'))
    )
    return df

Thank you to @sbrugman for implementing this new check!

What's Changed

• Fix FURB183 false positive when using custom formatter by @dosisod in #315
• Fix FURB118 operator.contains false positive, improve error messages by @dosisod in #317
• Initial implementation for fluid interface check by @sbrugman in #287
• Fix: false negative in FURB111 by @sbrugman in #313
• Fix FURB115 being emitted when using len(x) with non-boolean operators by @dosisod in #319

New Contributors

• @sbrugman made their first contribution in #287

Full Changelog: v1.25.0...v1.26.0