AgentSkillsCN

python-scala-syntax-mapping

提供 Python 语法结构与 Scala 对应语法的参考指南。适用于将 Python 代码转换为 Scala 时,需要为变量声明、控制流、推导式、字符串格式化以及常用运算符等基本语法元素提供映射关系。

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

Loops

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

Comprehensions

python
# 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
// 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
# 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
// 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
# Python
try:
    result = risky_operation()
except ValueError as e:
    handle_error(e)
finally:
    cleanup()
scala
// 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
# Python
if value is None:
    return default
return process(value)

# Or
result = value if value is not None else default
scala
// 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)