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benchflow-ai

python-scala-syntax-mapping

by benchflow-ai

SkillsBench evaluates how well skills work and how effective agents are at using them

251🍴 170📅 Jan 23, 2026

SKILL.md


name: python-scala-syntax-mapping description: Reference guide for translating Python syntax constructs to Scala equivalents. Use when converting Python code to Scala and need mappings for basic syntax elements like variable declarations, control flow, comprehensions, string formatting, and common operators.

Python to Scala Syntax Mapping

Variable Declarations

PythonScala
x = 5val x = 5 (immutable) or var x = 5 (mutable)
x: int = 5val x: Int = 5
x, y = 1, 2val (x, y) = (1, 2)

Prefer val over var unless mutation is required.

Type Mappings

PythonScala
intInt
floatDouble
strString
boolBoolean
NoneNone (of type Option) or null
list[T]List[T] or Seq[T]
dict[K, V]Map[K, V]
set[T]Set[T]
tuple[A, B](A, B) or Tuple2[A, B]
Optional[T]Option[T]

Control Flow

Conditionals

# Python
if x > 0:
    result = "positive"
elif x < 0:
    result = "negative"
else:
    result = "zero"
// Scala - if is an expression
val result = if (x > 0) "positive"
             else if (x < 0) "negative"
             else "zero"

Loops

# Python for loop
for i in range(10):
    print(i)

for item in items:
    process(item)

for i, item in enumerate(items):
    print(f"{i}: {item}")
// Scala equivalents
for (i <- 0 until 10) println(i)

for (item <- items) process(item)

for ((item, i) <- items.zipWithIndex) println(s"$i: $item")

While loops

# Python
while condition:
    do_something()
// Scala
while (condition) {
  doSomething()
}

Comprehensions

# Python list comprehension
squares = [x ** 2 for x in range(10)]
evens = [x for x in numbers if x % 2 == 0]
pairs = [(x, y) for x in xs for y in ys]
// Scala for-comprehensions or map/filter
val squares = (0 until 10).map(x => x * x).toList
val evens = numbers.filter(_ % 2 == 0)
val pairs = for { x <- xs; y <- ys } yield (x, y)

Functions

# Python
def add(a: int, b: int) -> int:
    return a + b

# Lambda
square = lambda x: x ** 2

# Default arguments
def greet(name: str, greeting: str = "Hello") -> str:
    return f"{greeting}, {name}!"
// Scala
def add(a: Int, b: Int): Int = a + b

// Lambda
val square: Int => Int = x => x * x
// or shorter: val square = (x: Int) => x * x

// Default arguments
def greet(name: String, greeting: String = "Hello"): String =
  s"$greeting, $name!"

String Formatting

PythonScala
f"Hello, {name}!"s"Hello, $name!"
f"Value: {x:.2f}"f"Value: $x%.2f"
f"{x + y}"s"${x + y}"

Common Operators

PythonScala
** (power)math.pow(x, y) or use scala.math.pow
// (floor div)x / y (for Int) or math.floor(x / y)
% (modulo)%
and, or, not&&, `
in.contains()
iseq (reference equality)
==== (value equality)

Exception Handling

# Python
try:
    result = risky_operation()
except ValueError as e:
    handle_error(e)
finally:
    cleanup()
// Scala
import scala.util.{Try, Success, Failure}

// Pattern 1: try-catch
try {
  val result = riskyOperation()
} catch {
  case e: IllegalArgumentException => handleError(e)
} finally {
  cleanup()
}

// Pattern 2: Try monad (preferred for functional style)
val result = Try(riskyOperation()) match {
  case Success(value) => value
  case Failure(e) => handleError(e)
}

None/Null Handling

# Python
if value is None:
    return default
return process(value)

# Or
result = value if value is not None else default
// Scala - use Option
val result = optionValue match {
  case Some(v) => process(v)
  case None => default
}

// Or more concisely
val result = optionValue.map(process).getOrElse(default)

Score

Total Score

65/100

Based on repository quality metrics

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+20
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+10
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0/10
人気

GitHub Stars 100以上

+5
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3ヶ月以内に更新がある

0/10
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10回以上フォークされている

+5
Issue管理

オープンIssueが50未満

0/5
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プログラミング言語が設定されている

+5
タグ

1つ以上のタグが設定されている

0/5

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