FineEnvs/repo2rlenv-swe-flow

Name: repo2rlenv-swe-flow
Creator: FineEnvs

repo2rlenv-swe-flow: Harbor dataset on Hugging Face with 100 tasks. Trace passing repository tests, select exercised source functions, remove their implementations and generate a reconstruction instruction. Restore the original functions as the reference solution and use the retained tests for…

Tasks

Memoization is a common optimization technique that caches the results of expensive function calls and returns the cached result when the…
When working with deeply nested data structures such as dictionaries and lists, it is often necessary to determine whether a particular…
List manipulation utilities often require in-place element removal with flexible index targeting. A robust implementation must handle…
Complex applications frequently work with deeply nested, heterogeneous data structures composed of lists, tuples, dicts, and sets.…
A common utility need in Python development is the ability to construct dictionaries from two separate iterables — one providing keys and…
Memoization decorators are a common pattern for caching the results of expensive function calls. A time-to-live (TTL) variant adds expiry…
Many data processing and utility libraries require the ability to partition sequences into fixed-size chunks. This is a common pattern…
In many software systems, certain initialization routines or expensive computations should be performed exactly once, regardless of how…
Searching through sequences for the last occurrence of a value is a common operation in data processing. A utility that searches from a…
When working with multiple related sequences of data, it is often necessary to sort all of them in tandem based on one or more of the…
In data processing pipelines, it is common to need an inverse operation to cumulative aggregation. When values have been progressively…
Dictionary manipulation is a common need in data processing pipelines. A utility that can produce a filtered view of a dictionary —…
Many data processing and combinatorial tasks require the ability to slide a window of fixed size across a sequence while simultaneously…
Platform tag generation is a core concern for package installation tooling. A correct implementation must enumerate compatible platform…
Distribution packages carry metadata (version, name, dependencies, etc.) stored as RFC-2822-style email headers. A common need is to parse…
When recording the origin of installed packages, URLs may contain authentication credentials (user names and passwords) embedded in the…
When building developer tooling or debugging utilities, it is often necessary to produce human-readable representations of function calls…
Many data processing pipelines need to partition a potentially large or infinite stream of items into fixed-size groups for downstream…
When working with iterable data structures, it is often necessary to extract a single, unambiguous value from a collection. A utility that…
When distributing compiled Python packages for macOS, installers and package managers must determine which binary formats a given platform…
When working with deeply nested data structures such as dictionaries, lists, or combinations thereof, a common need arises to safely…
SQL parsing libraries often need to handle identifier strings that may be wrapped in various quoting styles depending on the SQL dialect…
Working with deeply nested data structures (dictionaries, lists, or combinations thereof) is a common need in data processing. Providing a…
When working with multiple dictionaries, a common need is to align their values by shared keys and process those values together. A…
Many utility libraries need a unified way to iterate over the "items" of a collection regardless of whether the collection is a mapping…
In data processing pipelines, it is common to work with iterables that may contain elements causing exceptions when processed by a given…
SQL formatting tools require a robust mechanism for accepting, validating, and normalizing user-supplied configuration options before…
Command-line interfaces for SQL processing tools must handle a variety of argument combinations, file inputs, and error conditions…
Work in /workspace . Submit your fix in the existing Python source files under more itertools/more.py , more itertools/recipes.py .…
Iterator utility libraries often need to provide higher-level abstractions over standard iteration patterns. Two common needs are…
Python packaging ecosystems rely on wheel tag strings to describe compatibility between a distribution and a target environment. Parsing…
When working with multiple dictionaries, a common need is to find the intersection of their keys and retrieve corresponding values from…
Memoization decorators are a common tool for improving the performance of functions by caching previously computed results. Different…
Managing log files, backups, or any periodically overwritten files often requires a rotation mechanism that preserves a configurable…
Searching sequences for element occurrences is a fundamental operation in data processing. While forward index searches are common,…
Numerical iteration over floating-point ranges is a common requirement in scientific and data-processing applications. Unlike…
List manipulation is a fundamental operation in many programming tasks. A common need is to append one or more items to an existing list…
Wheel filenames encode structured metadata — project name, version, optional build tag, and compatibility tags — in a standardized format.…
Python packaging tools need to identify which built distributions (wheels, sdists, etc.) are compatible with a given Python interpreter…
When working with iterable data structures, a common need is to retrieve the first element efficiently and safely. This includes handling…
When working with higher-order functions, decorators, or dynamic code generation, it is often necessary to produce an independent copy of…
Many data processing workflows require grouping, transforming, and aggregating items from a sequence based on custom key and value logic.…
When working with nested data structures such as dictionaries and lists, it is often necessary to remove a value at a specific nested…
When working with deeply nested data structures such as dictionaries, lists, or combinations thereof, it is often necessary to verify…
Collection manipulation and transformation are common tasks in functional programming utilities. A library needs to provide consistent,…
Caching libraries commonly require a mechanism to produce stable, hashable keys from arbitrary positional and keyword arguments. Such keys…
Managing object lifetimes and diagnosing memory leaks requires a reliable mechanism for enumerating all live instances of a given type at…
When working with nested data structures such as dictionaries and lists, it is common to need a way to remove a specific element at an…
Combinatorial mathematics frequently requires computing the lexicographic position (index) of a specific combination within the ordered…
When working with sequences and iterables, it is often useful to enumerate all contiguous subsequences (substrings) of varying lengths. A…
Python packaging tools need to determine which wheel files or source distributions are compatible with a given Python interpreter and…
Many data processing pipelines require the ability to combine or align sequences with positional offsets, enabling comparisons or…
When working with multiple dictionaries, a common need is to combine or correlate values that share the same key across all dictionaries.…
When distributing or installing software on Linux systems, it is often necessary to determine which C runtime library an executable is…
Memoization decorators are a common pattern for improving the performance of functions by caching previously computed results. Different…
When working with sequences or collections, it is often useful to enumerate all contiguous subsequences along with their positional…
Array manipulation utilities often require extracting contiguous sub-sequences from a list or sequence. A general-purpose slice utility…
When working with higher-order functions, decorators, or dynamic code generation, it is sometimes necessary to produce an independent copy…
When building developer tools, logging systems, or debugging utilities, it is often necessary to produce human-readable representations of…
Caching systems often need to distinguish between arguments that compare as equal but have different types (e.g., the integer 1 and the…
When processing sequences of data, it is often necessary to extend them to a desired length or ensure they conform to a specific size…
Managing object lifecycles in long-running Python applications can be challenging. Developers sometimes need to enumerate all live…
Set-union operations over collections frequently require custom notions of equality—for example, treating elements as identical when they…
Searching sequences for the last occurrence of a value is a common operation in data processing and array manipulation utilities. A robust…
Many applications require the ability to partition sequences into sub-sequences based on dynamic, user-supplied conditions. A…
When working with multiple sequences of varying lengths, it is often desirable to merge them into a single sequence such that the elements…
Sequence manipulation is a common requirement in utility libraries. One fundamental operation is reversing the order of elements in a…
Caching mechanisms for methods often require a stable, hashable key derived from the arguments passed to the method. When methods are…
Object-oriented systems frequently need to memoize the results of expensive method calls to avoid redundant computation. A general-purpose…
When working with deeply nested data structures such as combinations of dictionaries and lists, accessing values at arbitrary depths…
Itertools and iterator utility libraries often need robust, well-defined functions for retrieving specific elements from arbitrary…
Package and distribution name handling in Python ecosystems requires consistent normalization so that names differing only in case,…
Wheel distribution filenames embed compatibility tags that describe the Python interpreter, ABI, and platform a wheel supports. These tags…
Format strings in Python can contain positional placeholders that are either anonymous (no explicit index) or explicitly numbered.…
When working with deeply nested data structures (such as dictionaries, lists, or combinations thereof), it is common to need safe…
When working with deeply nested data structures such as dictionaries, lists, or other indexable objects, accessing values at arbitrary…
Memoization utilities are commonly used to cache the results of expensive function calls and return the cached result when the same inputs…
Many data processing workflows require dividing a flat sequence of elements into smaller, evenly-sized groups for batch processing,…
Format string utilities are commonly needed when building systems that process or transform Python-style format strings. One recurring…
Distribution metadata for Python packages is commonly stored in an email-header format. Parsing such metadata into structured Python…
In many applications, certain initialization routines or expensive computations should only run once regardless of how many times they are…
Package management ecosystems require reliable utilities for validating project names against normalization rules. A normalized name is a…
Processing deeply nested, heterogeneous data structures is a common need in data transformation pipelines. A general-purpose recursive…
File system traversal utilities are commonly needed to locate files matching specific naming conventions across directory trees. Such…
When working with heterogeneous collections, it is often necessary to produce an empty counterpart of a given collection while preserving…
SQL tooling frequently needs to parse multi-statement SQL text and return each statement as a discrete string. This is useful for…
Partitioning a collection into non-overlapping, non-empty subsets is a classical combinatorial problem with applications in grouping,…
Set-like union operations on collections are a common need in data processing pipelines. When the definition of "equality" between…
When working with combinatorial sequences, it is often necessary to efficiently retrieve a specific element at a given index without…
Caching mechanisms for instance methods require a way to generate cache keys that are independent of the object instance ( self ). This…
Many data processing workflows require dividing a flat sequence into fixed-size groups for batch processing, pagination, or parallel…
File management systems often need to maintain a rolling set of backup copies of a file, cycling older versions out as new ones are…
List manipulation utilities often require removing elements at arbitrary positions and returning the removed value, while also mutating…
When working with nested data structures such as dicts and lists, it is often necessary to produce updated copies without mutating the…
Combinatorial indexing is a common need in discrete mathematics and algorithm design. Given a pool of elements and a selection rule…
Command-line SQL formatting tools need a well-structured argument parser to accept user input and route it to the appropriate formatting…
When working with collections of mixed values, it is common to need a way to filter out logically false or empty values, retaining only…
Work in /workspace . Submit your fix in the existing Python source files under more itertools/more.py , more itertools/recipes.py .…
In many data processing workflows, it is necessary to partition a sequence of items into multiple sub-groups of specified lengths. A…
Sorting collections is a fundamental operation in data manipulation libraries. A flexible sort utility must handle multiple sorting…

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