# Starlark in Go: Language definition Starlark is a dialect of Python intended for use as a configuration language. A Starlark interpreter is typically embedded within a larger application, and this application may define additional domain-specific functions and data types beyond those provided by the core language. For example, Starlark is embedded within (and was originally developed for) the [Bazel build tool](https://bazel.build), and [Bazel's build language](https://docs.bazel.build/versions/master/starlark/language.html) is based on Starlark. This document describes the Go implementation of Starlark at go.starlark.net/starlark. The language it defines is similar but not identical to [the Java-based implementation](https://github.com/bazelbuild/bazel/blob/master/src/main/java/com/google/devtools/starlark/Starlark.java) used by Bazel. We identify places where their behaviors differ, and an [appendix](#dialect-differences) provides a summary of those differences. We plan to converge both implementations on a single specification. This document is maintained by Alan Donovan . It was influenced by the Python specification, Copyright 1990–2017, Python Software Foundation, and the Go specification, Copyright 2009–2017, The Go Authors. Starlark was designed and implemented in Java by Laurent Le Brun, Dmitry Lomov, Jon Brandvin, and Damien Martin-Guillerez, standing on the shoulders of the Python community. The Go implementation was written by Alan Donovan and Jay Conrod; its scanner was derived from one written by Russ Cox. ## Overview Starlark is an untyped dynamic language with high-level data types, first-class functions with lexical scope, and automatic memory management or _garbage collection_. Starlark is strongly influenced by Python, and is almost a subset of that language. In particular, its data types and syntax for statements and expressions will be very familiar to any Python programmer. However, Starlark is intended not for writing applications but for expressing configuration: its programs are short-lived and have no external side effects and their main result is structured data or side effects on the host application. As a result, Starlark has no need for classes, exceptions, reflection, concurrency, and other such features of Python. Starlark execution is _deterministic_: all functions and operators in the core language produce the same execution each time the program is run; there are no sources of random numbers, clocks, or unspecified iterators. This makes Starlark suitable for use in applications where reproducibility is paramount, such as build tools. ## Contents * [Overview](#overview) * [Contents](#contents) * [Lexical elements](#lexical-elements) * [Data types](#data-types) * [None](#none) * [Booleans](#booleans) * [Integers](#integers) * [Floating-point numbers](#floating-point-numbers) * [Strings](#strings) * [Lists](#lists) * [Tuples](#tuples) * [Dictionaries](#dictionaries) * [Sets](#sets) * [Functions](#functions) * [Built-in functions](#built-in-functions) * [Name binding and variables](#name-binding-and-variables) * [Value concepts](#value-concepts) * [Identity and mutation](#identity-and-mutation) * [Freezing a value](#freezing-a-value) * [Hashing](#hashing) * [Sequence types](#sequence-types) * [Indexing](#indexing) * [Expressions](#expressions) * [Identifiers](#identifiers) * [Literals](#literals) * [Parenthesized expressions](#parenthesized-expressions) * [Dictionary expressions](#dictionary-expressions) * [List expressions](#list-expressions) * [Unary operators](#unary-operators) * [Binary operators](#binary-operators) * [Conditional expressions](#conditional-expressions) * [Comprehensions](#comprehensions) * [Function and method calls](#function-and-method-calls) * [Dot expressions](#dot-expressions) * [Index expressions](#index-expressions) * [Slice expressions](#slice-expressions) * [Lambda expressions](#lambda-expressions) * [Statements](#statements) * [Pass statements](#pass-statements) * [Assignments](#assignments) * [Augmented assignments](#augmented-assignments) * [Function definitions](#function-definitions) * [Return statements](#return-statements) * [Expression statements](#expression-statements) * [If statements](#if-statements) * [For loops](#for-loops) * [Break and Continue](#break-and-continue) * [Load statements](#load-statements) * [Module execution](#module-execution) * [Built-in constants and functions](#built-in-constants-and-functions) * [None](#none) * [True and False](#true-and-false) * [any](#any) * [all](#all) * [bool](#bool) * [chr](#chr) * [dict](#dict) * [dir](#dir) * [enumerate](#enumerate) * [fail](#fail) * [float](#float) * [getattr](#getattr) * [hasattr](#hasattr) * [hash](#hash) * [int](#int) * [len](#len) * [list](#list) * [max](#max) * [min](#min) * [ord](#ord) * [print](#print) * [range](#range) * [repr](#repr) * [reversed](#reversed) * [set](#set) * [sorted](#sorted) * [str](#str) * [tuple](#tuple) * [type](#type) * [zip](#zip) * [Built-in methods](#built-in-methods) * [dict·clear](#dict·clear) * [dict·get](#dict·get) * [dict·items](#dict·items) * [dict·keys](#dict·keys) * [dict·pop](#dict·pop) * [dict·popitem](#dict·popitem) * [dict·setdefault](#dict·setdefault) * [dict·update](#dict·update) * [dict·values](#dict·values) * [list·append](#list·append) * [list·clear](#list·clear) * [list·extend](#list·extend) * [list·index](#list·index) * [list·insert](#list·insert) * [list·pop](#list·pop) * [list·remove](#list·remove) * [set·union](#set·union) * [string·capitalize](#string·capitalize) * [string·codepoint_ords](#string·codepoint_ords) * [string·codepoints](#string·codepoints) * [string·count](#string·count) * [string·elem_ords](#string·elem_ords) * [string·elems](#string·elems) * [string·endswith](#string·endswith) * [string·find](#string·find) * [string·format](#string·format) * [string·index](#string·index) * [string·isalnum](#string·isalnum) * [string·isalpha](#string·isalpha) * [string·isdigit](#string·isdigit) * [string·islower](#string·islower) * [string·isspace](#string·isspace) * [string·istitle](#string·istitle) * [string·isupper](#string·isupper) * [string·join](#string·join) * [string·lower](#string·lower) * [string·lstrip](#string·lstrip) * [string·partition](#string·partition) * [string·replace](#string·replace) * [string·rfind](#string·rfind) * [string·rindex](#string·rindex) * [string·rpartition](#string·rpartition) * [string·rsplit](#string·rsplit) * [string·rstrip](#string·rstrip) * [string·split](#string·split) * [string·splitlines](#string·splitlines) * [string·startswith](#string·startswith) * [string·strip](#string·strip) * [string·title](#string·title) * [string·upper](#string·upper) * [Dialect differences](#dialect-differences) ## Lexical elements A Starlark program consists of one or more modules. Each module is defined by a single UTF-8-encoded text file. A complete grammar of Starlark can be found in [grammar.txt](../syntax/grammar.txt). That grammar is presented piecemeal throughout this document in boxes such as this one, which explains the notation: ```grammar {.good} Grammar notation - lowercase and 'quoted' items are lexical tokens. - Capitalized names denote grammar productions. - (...) implies grouping. - x | y means either x or y. - [x] means x is optional. - {x} means x is repeated zero or more times. - The end of each declaration is marked with a period. ``` The contents of a Starlark file are broken into a sequence of tokens of five kinds: white space, punctuation, keywords, identifiers, and literals. Each token is formed from the longest sequence of characters that would form a valid token of each kind. ```grammar {.good} File = {Statement | newline} eof . ``` *White space* consists of spaces (U+0020), tabs (U+0009), carriage returns (U+000D), and newlines (U+000A). Within a line, white space has no effect other than to delimit the previous token, but newlines, and spaces at the start of a line, are significant tokens. *Comments*: A hash character (`#`) appearing outside of a string literal marks the start of a comment; the comment extends to the end of the line, not including the newline character. Comments are treated like other white space. *Punctuation*: The following punctuation characters or sequences of characters are tokens: ```text + - * / // % = += -= *= /= //= %= == != ^ < > << >> & | ^= <= >= <<= >>= &= |= . , ; : ~ ** ( ) [ ] { } ``` *Keywords*: The following tokens are keywords and may not be used as identifiers: ```text and elif in or break else lambda pass continue for load return def if not while ``` The tokens below also may not be used as identifiers although they do not appear in the grammar; they are reserved as possible future keywords: ```text as finally nonlocal assert from raise class global try del import with except is yield ``` Implementation note: The Go implementation permits `assert` to be used as an identifier, and this feature is widely used in its tests. *Identifiers*: an identifier is a sequence of Unicode letters, decimal digits, and underscores (`_`), not starting with a digit. Identifiers are used as names for values. Examples: ```text None True len x index starts_with arg0 ``` *Literals*: literals are tokens that denote specific values. Starlark has string, integer, and floating-point literals. ```text 0 # int 123 # decimal int 0x7f # hexadecimal int 0o755 # octal int 0b1011 # binary int 0.0 0. .0 # float 1e10 1e+10 1e-10 1.1e10 1.1e+10 1.1e-10 "hello" 'hello' # string '''hello''' """hello""" # triple-quoted string r'hello' r"hello" # raw string literal ``` Integer and floating-point literal tokens are defined by the following grammar: ```grammar {.good} int = decimal_lit | octal_lit | hex_lit | binary_lit . decimal_lit = ('1' … '9') {decimal_digit} | '0' . octal_lit = '0' ('o'|'O') octal_digit {octal_digit} . hex_lit = '0' ('x'|'X') hex_digit {hex_digit} . binary_lit = '0' ('b'|'B') binary_digit {binary_digit} . float = decimals '.' [decimals] [exponent] | decimals exponent | '.' decimals [exponent] . decimals = decimal_digit {decimal_digit} . exponent = ('e'|'E') ['+'|'-'] decimals . decimal_digit = '0' … '9' . octal_digit = '0' … '7' . hex_digit = '0' … '9' | 'A' … 'F' | 'a' … 'f' . binary_digit = '0' | '1' . ``` ### String literals A Starlark string literal denotes a string value. In its simplest form, it consists of the desired text surrounded by matching single- or double-quotation marks: ```python "abc" 'abc' ``` Literal occurrences of the chosen quotation mark character must be escaped by a preceding backslash. So, if a string contains several of one kind of quotation mark, it may be convenient to quote the string using the other kind, as in these examples: ```python 'Have you read "To Kill a Mockingbird?"' "Yes, it's a classic." "Have you read \"To Kill a Mockingbird?\"" 'Yes, it\'s a classic.' ``` Literal occurrences of the _opposite_ kind of quotation mark, such as an apostrophe within a double-quoted string literal, may be escaped by a backslash, but this is not necessary: `"it's"` and `"it\'s"` are equivalent. #### String escapes Within a string literal, the backslash character `\` indicates the start of an _escape sequence_, a notation for expressing things that are impossible or awkward to write directly. The following *traditional escape sequences* represent the ASCII control codes 7-13: ``` \a \x07 alert or bell \b \x08 backspace \f \x0C form feed \n \x0A line feed \r \x0D carriage return \t \x09 horizontal tab \v \x0B vertical tab ``` A *literal backslash* is written using the escape `\\`. An *escaped newline*---that is, a backslash at the end of a line---is ignored, allowing a long string to be split across multiple lines of the source file. ```python "abc\ def" # "abcdef" ``` An *octal escape* encodes a single byte using its octal value. It consists of a backslash followed by one, two, or three octal digits [0-7]. It is error if the value is greater than decimal 255. ```python '\0' # "\x00" a string containing a single NUL byte '\12' # "\n" octal 12 = decimal 10 '\101-\132' # "A-Z" '\119' # "\t9" = "\11" + "9" ``` Implementation note: The Java implementation encodes strings using UTF-16, so an octal escape encodes a single UTF-16 code unit. Octal escapes for values above 127 are therefore not portable across implementations. There is little reason to use octal escapes in new code. A *hex escape* encodes a single byte using its hexadecimal value. It consists of `\x` followed by exactly two hexadecimal digits [0-9A-Fa-f]. ```python "\x00" # "\x00" a string containing a single NUL byte "(\x20)" # "( )" ASCII 0x20 = 32 = space red, reset = "\x1b[31m", "\x1b[0m" # ANSI terminal control codes for color "(" + red + "hello" + reset + ")" # "(hello)" with red text, if on a terminal ``` Implementation note: The Java implementation does not support hex escapes. An ordinary string literal may not contain an unescaped newline, but a *multiline string literal* may spread over multiple source lines. It is denoted using three quotation marks at start and end. Within it, unescaped newlines and quotation marks (or even pairs of quotation marks) have their literal meaning, but three quotation marks end the literal. This makes it easy to quote large blocks of text with few escapes. ``` haiku = ''' Yesterday it worked. Today it is not working. That's computers. Sigh. ''' ``` Regardless of the platform's convention for text line endings---for example, a linefeed (\n) on UNIX, or a carriage return followed by a linefeed (\r\n) on Microsoft Windows---an unescaped line ending in a multiline string literal always denotes a line feed (\n). Starlark also supports *raw string literals*, which look like an ordinary single- or double-quotation preceded by `r`. Within a raw string literal, there is no special processing of backslash escapes, other than an escaped quotation mark (which denotes a literal quotation mark), or an escaped newline (which denotes a backslash followed by a newline). This form of quotation is typically used when writing strings that contain many quotation marks or backslashes (such as regular expressions or shell commands) to reduce the burden of escaping: ```python "a\nb" # "a\nb" = 'a' + '\n' + 'b' r"a\nb" # "a\\nb" = 'a' + '\\' + 'n' + 'b' "a\ b" # "ab" r"a\ b" # "a\\\nb" ``` It is an error for a backslash to appear within a string literal other than as part of one of the escapes described above. TODO: define indent, outdent, semicolon, newline, eof ## Data types These are the main data types built in to the interpreter: ```python NoneType # the type of None bool # True or False int # a signed integer of arbitrary magnitude float # an IEEE 754 double-precision floating point number string # a byte string list # a modifiable sequence of values tuple # an unmodifiable sequence of values dict # a mapping from values to values set # a set of values function # a function implemented in Starlark builtin_function_or_method # a function or method implemented by the interpreter or host application ``` Some functions, such as the iteration methods of `string`, or the `range` function, return instances of special-purpose types that don't appear in this list. Additional data types may be defined by the host application into which the interpreter is embedded, and those data types may participate in basic operations of the language such as arithmetic, comparison, indexing, and function calls. Some operations can be applied to any Starlark value. For example, every value has a type string that can be obtained with the expression `type(x)`, and any value may be converted to a string using the expression `str(x)`, or to a Boolean truth value using the expression `bool(x)`. Other operations apply only to certain types. For example, the indexing operation `a[i]` works only with strings, lists, and tuples, and any application-defined types that are _indexable_. The [_value concepts_](#value-concepts) section explains the groupings of types by the operators they support. ### None `None` is a distinguished value used to indicate the absence of any other value. For example, the result of a call to a function that contains no return statement is `None`. `None` is equal only to itself. Its [type](#type) is `"NoneType"`. The truth value of `None` is `False`. ### Booleans There are two Boolean values, `True` and `False`, representing the truth or falsehood of a predicate. The [type](#type) of a Boolean is `"bool"`. Boolean values are typically used as conditions in `if`-statements, although any Starlark value used as a condition is implicitly interpreted as a Boolean. For example, the values `None`, `0`, `0.0`, and the empty sequences `""`, `()`, `[]`, and `{}` have a truth value of `False`, whereas non-zero numbers and non-empty sequences have a truth value of `True`. Application-defined types determine their own truth value. Any value may be explicitly converted to a Boolean using the built-in `bool` function. ```python 1 + 1 == 2 # True 2 + 2 == 5 # False if 1 + 1: print("True") else: print("False") ``` ### Integers The Starlark integer type represents integers. Its [type](#type) is `"int"`. Integers may be positive or negative, and arbitrarily large. Integer arithmetic is exact. Integers are totally ordered; comparisons follow mathematical tradition. The `+` and `-` operators perform addition and subtraction, respectively. The `*` operator performs multiplication. The `//` and `%` operations on integers compute floored division and remainder of floored division, respectively. If the signs of the operands differ, the sign of the remainder `x % y` matches that of the divisor, `y`. For all finite x and y (y ≠ 0), `(x // y) * y + (x % y) == x`. The `/` operator implements real division, and yields a `float` result even when its operands are both of type `int`. Integers, including negative values, may be interpreted as bit vectors. The `|`, `&`, and `^` operators implement bitwise OR, AND, and XOR, respectively. The unary `~` operator yields the bitwise inversion of its integer argument. The `<<` and `>>` operators shift the first argument to the left or right by the number of bits given by the second argument. Any bool, number, or string may be interpreted as an integer by using the `int` built-in function. An integer used in a Boolean context is considered true if it is non-zero. ```python 100 // 5 * 9 + 32 # 212 3 // 2 # 1 3 / 2 # 1.5 111111111 * 111111111 # 12345678987654321 "0x%x" % (0x1234 & 0xf00f) # "0x1004" int("ffff", 16) # 65535, 0xffff ``` ### Floating-point numbers The Starlark floating-point data type represents an IEEE 754 double-precision floating-point number. Its [type](#type) is `"float"`. Arithmetic on floats using the `+`, `-`, `*`, `/`, `//`, and `%` operators follows the IEE 754 standard. However, computing the division or remainder of division by zero is a dynamic error. An arithmetic operation applied to a mixture of `float` and `int` operands works as if the `int` operand is first converted to a `float`. For example, `3.141 + 1` is equivalent to `3.141 + float(1)`. There are two floating-point division operators: `x / y ` yields the floating-point quotient of `x` and `y`, whereas `x // y` yields `floor(x / y)`, that is, the largest integer value not greater than `x / y`. Although the resulting number is integral, it is represented as a `float` if either operand is a `float`. The `%` operation computes the remainder of floored division. As with the corresponding operation on integers, if the signs of the operands differ, the sign of the remainder `x % y` matches that of the divisor, `y`. The infinite float values `+Inf` and `-Inf` represent numbers greater/less than all finite float values. The non-finite `NaN` value represents the result of dubious operations such as `Inf/Inf`. A NaN value compares neither less than, nor greater than, nor equal to any value, including itself. All floats other than NaN are totally ordered, so they may be compared using operators such as `==` and `<`. Any bool, number, or string may be interpreted as a floating-point number by using the `float` built-in function. A float used in a Boolean context is considered true if it is non-zero. ```python 1.23e45 * 1.23e45 # 1.5129e+90 1.111111111111111 * 1.111111111111111 # 1.23457 3.0 / 2 # 1.5 3 / 2.0 # 1.5 float(3) / 2 # 1.5 3.0 // 2.0 # 1 ``` ### Strings A string represents an immutable sequence of bytes. The [type](#type) of a string is `"string"`. Strings can represent arbitrary binary data, including zero bytes, but most strings contain text, encoded by convention using UTF-8. The built-in `len` function returns the number of bytes in a string. Strings may be concatenated with the `+` operator. The substring expression `s[i:j]` returns the substring of `s` from index `i` up to index `j`. The index expression `s[i]` returns the 1-byte substring `s[i:i+1]`. Strings are hashable, and thus may be used as keys in a dictionary. Strings are totally ordered lexicographically, so strings may be compared using operators such as `==` and `<`. Strings are _not_ iterable sequences, so they cannot be used as the operand of a `for`-loop, list comprehension, or any other operation than requires an iterable sequence. To obtain a view of a string as an iterable sequence of numeric byte values, 1-byte substrings, numeric Unicode code points, or 1-code point substrings, you must explicitly call one of its four methods: `elems`, `elem_ords`, `codepoints`, or `codepoint_ords`. Any value may formatted as a string using the `str` or `repr` built-in functions, the `str % tuple` operator, or the `str.format` method. A string used in a Boolean context is considered true if it is non-empty. Strings have several built-in methods: * [`capitalize`](#string·capitalize) * [`codepoint_ords`](#string·codepoint_ords) * [`codepoints`](#string·codepoints) * [`count`](#string·count) * [`elem_ords`](#string·elem_ords) * [`elems`](#string·elems) * [`endswith`](#string·endswith) * [`find`](#string·find) * [`format`](#string·format) * [`index`](#string·index) * [`isalnum`](#string·isalnum) * [`isalpha`](#string·isalpha) * [`isdigit`](#string·isdigit) * [`islower`](#string·islower) * [`isspace`](#string·isspace) * [`istitle`](#string·istitle) * [`isupper`](#string·isupper) * [`join`](#string·join) * [`lower`](#string·lower) * [`lstrip`](#string·lstrip) * [`partition`](#string·partition) * [`replace`](#string·replace) * [`rfind`](#string·rfind) * [`rindex`](#string·rindex) * [`rpartition`](#string·rpartition) * [`rsplit`](#string·rsplit) * [`rstrip`](#string·rstrip) * [`split`](#string·split) * [`splitlines`](#string·splitlines) * [`startswith`](#string·startswith) * [`strip`](#string·strip) * [`title`](#string·title) * [`upper`](#string·upper) Implementation note: The type of a string element varies across implementations. There is agreement that byte strings, with text conventionally encoded using UTF-8, is the ideal choice, but the Java implementation treats strings as sequences of UTF-16 codes and changing it appears intractible; see Google Issue b/36360490. Implementation note: The Java implementation does not consistently treat strings as iterable; see `testdata/string.star` in the test suite and Google Issue b/34385336 for further details. ### Lists A list is a mutable sequence of values. The [type](#type) of a list is `"list"`. Lists are indexable sequences: the elements of a list may be iterated over by `for`-loops, list comprehensions, and various built-in functions. List may be constructed using bracketed list notation: ```python [] # an empty list [1] # a 1-element list [1, 2] # a 2-element list ``` Lists can also be constructed from any iterable sequence by using the built-in `list` function. The built-in `len` function applied to a list returns the number of elements. The index expression `list[i]` returns the element at index i, and the slice expression `list[i:j]` returns a new list consisting of the elements at indices from i to j. List elements may be added using the `append` or `extend` methods, removed using the `remove` method, or reordered by assignments such as `list[i] = list[j]`. The concatenation operation `x + y` yields a new list containing all the elements of the two lists x and y. For most types, `x += y` is equivalent to `x = x + y`, except that it evaluates `x` only once, that is, it allocates a new list to hold the concatenation of `x` and `y`. However, if `x` refers to a list, the statement does not allocate a new list but instead mutates the original list in place, similar to `x.extend(y)`. Lists are not hashable, so may not be used in the keys of a dictionary. A list used in a Boolean context is considered true if it is non-empty. A [_list comprehension_](#comprehensions) creates a new list whose elements are the result of some expression applied to each element of another sequence. ```python [x*x for x in [1, 2, 3, 4]] # [1, 4, 9, 16] ``` A list value has these methods: * [`append`](#list·append) * [`clear`](#list·clear) * [`extend`](#list·extend) * [`index`](#list·index) * [`insert`](#list·insert) * [`pop`](#list·pop) * [`remove`](#list·remove) ### Tuples A tuple is an immutable sequence of values. The [type](#type) of a tuple is `"tuple"`. Tuples are constructed using parenthesized list notation: ```python () # the empty tuple (1,) # a 1-tuple (1, 2) # a 2-tuple ("pair") (1, 2, 3) # a 3-tuple ``` Observe that for the 1-tuple, the trailing comma is necessary to distinguish it from the parenthesized expression `(1)`. 1-tuples are seldom used. Starlark, unlike Python, does not permit a trailing comma to appear in an unparenthesized tuple expression: ```python for k, v, in dict.items(): pass # syntax error at 'in' _ = [(v, k) for k, v, in dict.items()] # syntax error at 'in' f = lambda a, b, : None # syntax error at ':' sorted(3, 1, 4, 1,) # ok [1, 2, 3, ] # ok {1: 2, 3:4, } # ok ``` Any iterable sequence may be converted to a tuple by using the built-in `tuple` function. Like lists, tuples are indexed sequences, so they may be indexed and sliced. The index expression `tuple[i]` returns the tuple element at index i, and the slice expression `tuple[i:j]` returns a sub-sequence of a tuple. Tuples are iterable sequences, so they may be used as the operand of a `for`-loop, a list comprehension, or various built-in functions. Unlike lists, tuples cannot be modified. However, the mutable elements of a tuple may be modified. Tuples are hashable (assuming their elements are hashable), so they may be used as keys of a dictionary. Tuples may be concatenated using the `+` operator. A tuple used in a Boolean context is considered true if it is non-empty. ### Dictionaries A dictionary is a mutable mapping from keys to values. The [type](#type) of a dictionary is `"dict"`. Dictionaries provide constant-time operations to insert an element, to look up the value for a key, or to remove an element. Dictionaries are implemented using hash tables, so keys must be hashable. Hashable values include `None`, Booleans, numbers, and strings, and tuples composed from hashable values. Most mutable values, such as lists, dictionaries, and sets, are not hashable, even when frozen. Attempting to use a non-hashable value as a key in a dictionary results in a dynamic error. A [dictionary expression](#dictionary-expressions) specifies a dictionary as a set of key/value pairs enclosed in braces: ```python coins = { "penny": 1, "nickel": 5, "dime": 10, "quarter": 25, } ``` The expression `d[k]`, where `d` is a dictionary and `k` is a key, retrieves the value associated with the key. If the dictionary contains no such item, the operation fails: ```python coins["penny"] # 1 coins["dime"] # 10 coins["silver dollar"] # error: key not found ``` The number of items in a dictionary `d` is given by `len(d)`. A key/value item may be added to a dictionary, or updated if the key is already present, by using `d[k]` on the left side of an assignment: ```python len(coins) # 4 coins["shilling"] = 20 len(coins) # 5, item was inserted coins["shilling"] = 5 len(coins) # 5, existing item was updated ``` A dictionary can also be constructed using a [dictionary comprehension](#comprehension), which evaluates a pair of expressions, the _key_ and the _value_, for every element of another iterable such as a list. This example builds a mapping from each word to its length in bytes: ```python words = ["able", "baker", "charlie"] {x: len(x) for x in words} # {"charlie": 7, "baker": 5, "able": 4} ``` Dictionaries are iterable sequences, so they may be used as the operand of a `for`-loop, a list comprehension, or various built-in functions. Iteration yields the dictionary's keys in the order in which they were inserted; updating the value associated with an existing key does not affect the iteration order. ```python x = dict([("a", 1), ("b", 2)]) # {"a": 1, "b": 2} x.update([("a", 3), ("c", 4)]) # {"a": 3, "b": 2, "c": 4} ``` ```python for name in coins: print(name, coins[name]) # prints "quarter 25", "dime 10", ... ``` Like all mutable values in Starlark, a dictionary can be frozen, and once frozen, all subsequent operations that attempt to update it will fail. A dictionary used in a Boolean context is considered true if it is non-empty. Dictionaries may be compared for equality using `==` and `!=`. Two dictionaries compare equal if they contain the same number of items and each key/value item (k, v) found in one dictionary is also present in the other. Dictionaries are not ordered; it is an error to compare two dictionaries with `<`. A dictionary value has these methods: * [`clear`](#dict·clear) * [`get`](#dict·get) * [`items`](#dict·items) * [`keys`](#dict·keys) * [`pop`](#dict·pop) * [`popitem`](#dict·popitem) * [`setdefault`](#dict·setdefault) * [`update`](#dict·update) * [`values`](#dict·values) ### Sets A set is a mutable set of values. The [type](#type) of a set is `"set"`. Like dictionaries, sets are implemented using hash tables, so the elements of a set must be hashable. Sets may be compared for equality or inequality using `==` and `!=`. Two sets compare equal if they contain the same elements. Sets are iterable sequences, so they may be used as the operand of a `for`-loop, a list comprehension, or various built-in functions. Iteration yields the set's elements in the order in which they were inserted. The binary `|` and `&` operators compute union and intersection when applied to sets. The right operand of the `|` operator may be any iterable value. The binary `in` operator performs a set membership test when its right operand is a set. The binary `^` operator performs symmetric difference of two sets. Sets are instantiated by calling the built-in `set` function, which returns a set containing all the elements of its optional argument, which must be an iterable sequence. Sets have no literal syntax. The only method of a set is `union`, which is equivalent to the `|` operator. A set used in a Boolean context is considered true if it is non-empty. Implementation note: The Go implementation of Starlark requires the `-set` flag to enable support for sets. The Java implementation does not support sets. ### Functions A function value represents a function defined in Starlark. Its [type](#type) is `"function"`. A function value used in a Boolean context is always considered true. Functions defined by a [`def` statement](#function-definitions) are named; functions defined by a [`lambda` expression](#lambda-expressions) are anonymous. Function definitions may be nested, and an inner function may refer to a local variable of an outer function. A function definition defines zero or more named parameters. Starlark has a rich mechanism for passing arguments to functions. The example below shows a definition and call of a function of two required parameters, `x` and `y`. ```python def idiv(x, y): return x // y idiv(6, 3) # 2 ``` A call may provide arguments to function parameters either by position, as in the example above, or by name, as in first two calls below, or by a mixture of the two forms, as in the third call below. All the positional arguments must precede all the named arguments. Named arguments may improve clarity, especially in functions of several parameters. ```python idiv(x=6, y=3) # 2 idiv(y=3, x=6) # 2 idiv(6, y=3) # 2 ``` Optional parameters: A parameter declaration may specify a default value using `name=value` syntax; such a parameter is _optional_. The default value expression is evaluated during execution of the `def` statement or evaluation of the `lambda` expression, and the default value forms part of the function value. All optional parameters must follow all non-optional parameters. A function call may omit arguments for any suffix of the optional parameters; the effective values of those arguments are supplied by the function's parameter defaults. ```python def f(x, y=3): return x, y f(1, 2) # (1, 2) f(1) # (1, 3) ``` If a function parameter's default value is a mutable expression, modifications to the value during one call may be observed by subsequent calls. Beware of this when using lists or dicts as default values. If the function becomes frozen, its parameters' default values become frozen too. ```python # module a.star def f(x, list=[]): list.append(x) return list f(4, [1,2,3]) # [1, 2, 3, 4] f(1) # [1] f(2) # [1, 2], not [2]! # module b.star load("a.star", "f") f(3) # error: cannot append to frozen list ``` Variadic functions: Some functions allow callers to provide an arbitrary number of arguments. After all required and optional parameters, a function definition may specify a _variadic arguments_ or _varargs_ parameter, indicated by a star preceding the parameter name: `*args`. Any surplus positional arguments provided by the caller are formed into a tuple and assigned to the `args` parameter. ```python def f(x, y, *args): return x, y, args f(1, 2) # (1, 2, ()) f(1, 2, 3, 4) # (1, 2, (3, 4)) ``` Keyword-variadic functions: Some functions allow callers to provide an arbitrary sequence of `name=value` keyword arguments. A function definition may include a final _keyword arguments_ or _kwargs_ parameter, indicated by a double-star preceding the parameter name: `**kwargs`. Any surplus named arguments that do not correspond to named parameters are collected in a new dictionary and assigned to the `kwargs` parameter: ```python def f(x, y, **kwargs): return x, y, kwargs f(1, 2) # (1, 2, {}) f(x=2, y=1) # (2, 1, {}) f(x=2, y=1, z=3) # (2, 1, {"z": 3}) ``` It is a static error if any two parameters of a function have the same name. Just as a function definition may accept an arbitrary number of positional or named arguments, a function call may provide an arbitrary number of positional or named arguments supplied by a list or dictionary: ```python def f(a, b, c=5): return a * b + c f(*[2, 3]) # 11 f(*[2, 3, 7]) # 13 f(*[2]) # error: f takes at least 2 arguments (1 given) f(**dict(b=3, a=2)) # 11 f(**dict(c=7, a=2, b=3)) # 13 f(**dict(a=2)) # error: f takes at least 2 arguments (1 given) f(**dict(d=4)) # error: f got unexpected keyword argument "d" ``` Once the parameters have been successfully bound to the arguments supplied by the call, the sequence of statements that comprise the function body is executed. It is a static error if a function call has two named arguments of the same name, such as `f(x=1, x=2)`. A call that provides a `**kwargs` argument may yet have two values for the same name, such as `f(x=1, **dict(x=2))`. This results in a dynamic error. Function arguments are evaluated in the order they appear in the call. Unlike Python, Starlark does not allow more than one `*args` argument in a call, and if a `*args` argument is present it must appear after all positional and named arguments. The final argument to a function call may be followed by a trailing comma. A function call completes normally after the execution of either a `return` statement, or of the last statement in the function body. The result of the function call is the value of the return statement's operand, or `None` if the return statement had no operand or if the function completeted without executing a return statement. ```python def f(x): if x == 0: return if x < 0: return -x print(x) f(1) # returns None after printing "1" f(0) # returns None without printing f(-1) # returns 1 without printing ``` Implementation note: The Go implementation of Starlark requires the `-recursion` flag to allow recursive functions. If the `-recursion` flag is not specified it is a dynamic error for a function to call itself or another function value with the same declaration. ```python def fib(x): if x < 2: return x return fib(x-2) + fib(x-1) # dynamic error: function fib called recursively fib(5) ``` This rule, combined with the invariant that all loops are iterations over finite sequences, implies that Starlark programs can not be Turing complete unless the `-recursion` flag is specified. ### Built-in functions A built-in function is a function or method implemented in Go by the interpreter or the application into which the interpreter is embedded. The [type](#type) of a built-in function is `"builtin_function_or_method"`. A built-in function value used in a Boolean context is always considered true. Many built-in functions are predeclared in the environment (see [Name Resolution](#name-resolution)). Some built-in functions such as `len` are _universal_, that is, available to all Starlark programs. The host application may predeclare additional built-in functions in the environment of a specific module. Except where noted, built-in functions accept only positional arguments. The parameter names serve merely as documentation. Most built-in functions that have a Boolean parameter require its argument to be `True` or `False`. Unlike `if` statements, other values are not implicitly converted to their truth value and instead cause a dynamic error. ## Name binding and variables After a Starlark file is parsed, but before its execution begins, the Starlark interpreter checks statically that the program is well formed. For example, `break` and `continue` statements may appear only within a loop; a `return` statement may appear only within a function; and `load` statements may appear only outside any function. _Name resolution_ is the static checking process that resolves names to variable bindings. During execution, names refer to variables. Statically, names denote places in the code where variables are created; these places are called _bindings_. A name may denote different bindings at different places in the program. The region of text in which a particular name refers to the same binding is called that binding's _scope_. Four Starlark constructs bind names, as illustrated in the example below: `load` statements (`a` and `b`), `def` statements (`c`), function parameters (`d`), and assignments (`e`, `h`, including the augmented assignment `e += 1`). Variables may be assigned or re-assigned explicitly (`e`, `h`), or implicitly, as in a `for`-loop (`f`) or comprehension (`g`, `i`). ```python load("lib.star", "a", b="B") def c(d): e = 0 for f in d: print([True for g in f]) e += 1 h = [2*i for i in a] ``` The environment of a Starlark program is structured as a tree of _lexical blocks_, each of which may contain name bindings. The tree of blocks is parallel to the syntax tree. Blocks are of five kinds. At the root of the tree is the _predeclared_ block, which binds several names implicitly. The set of predeclared names includes the universal constant values `None`, `True`, and `False`, and various built-in functions such as `len` and `list`; these functions are immutable and stateless. An application may pre-declare additional names to provide domain-specific functions to that file, for example. These additional functions may have side effects on the application. Starlark programs cannot change the set of predeclared bindings or assign new values to them. Nested beneath the predeclared block is the _module_ block, which contains the bindings of the current module. Bindings in the module block (such as `c`, and `h` in the example) are called _global_ and may be visible to other modules. The module block is empty at the start of the file and is populated by top-level binding statements. Nested beneath the module block is the _file_ block, which contains bindings local to the current file. Names in this block (such as `a` and `b` in the example) are bound only by `load` statements. The sets of names bound in the file block and in the module block do not overlap: it is an error for a load statement to bind the name of a global, or for a top-level statement to bind a name bound by a load statement. A file block contains a _function_ block for each top-level function, and a _comprehension_ block for each top-level comprehension. Bindings in either of these kinds of block, and in the file block itself, are called _local_. (In the example, the bindings for `e`, `f`, `g`, and `i` are all local.) Additional functions and comprehensions, and their blocks, may be nested in any order, to any depth. If name is bound anywhere within a block, all uses of the name within the block are treated as references to that binding, even if the use appears before the binding. This is true even at the top level, unlike Python. The binding of `y` on the last line of the example below makes `y` local to the function `hello`, so the use of `y` in the print statement also refers to the local `y`, even though it appears earlier. ```python y = "goodbye" def hello(): for x in (1, 2): if x == 2: print(y) # prints "hello" if x == 1: y = "hello" ``` It is a dynamic error to evaluate a reference to a local variable before it has been bound: ```python def f(): print(x) # dynamic error: local variable x referenced before assignment x = "hello" ``` The same is true for global variables: ```python print(x) # dynamic error: global variable x referenced before assignment x = "hello" ``` The same is also true for nested loops in comprehensions. In the (unnatural) examples below, the scope of the variables `x`, `y`, and `z` is the entire compehension block, except the operand of the first loop (`[]` or `[1]`), which is resolved in the enclosing environment. The second loop may thus refer to variables defined by the third (`z`), even though such references would fail if actually executed. ``` [1//0 for x in [] for y in z for z in ()] # [] (no error) [1//0 for x in [1] for y in z for z in ()] # dynamic error: local variable z referenced before assignment ``` It is a static error to refer to a name that has no binding at all. ``` def f(): if False: g() # static error: undefined: g ``` (This behavior differs from Python, which treats such references as global, and thus does not report an error until the expression is evaluated.) It is a static error to bind a global variable already explicitly bound in the file: ```python x = 1 x = 2 # static error: cannot reassign global x declared on line 1 ``` If a name was pre-bound by the application, the Starlark program may explicitly bind it, but only once. An augmented assignment statement such as `x += y` is considered both a reference to `x` and a binding use of `x`, so it may not be used at top level. Implementation note: The Go implementation of Starlark permits augmented assignments to appear at top level if the `-globalreassign` flag is enabled. A function may refer to variables defined in an enclosing function. In this example, the inner function `f` refers to a variable `x` that is local to the outer function `squarer`. `x` is a _free variable_ of `f`. The function value (`f`) created by a `def` statement holds a reference to each of its free variables so it may use them even after the enclosing function has returned. ```python def squarer(): x = [0] def f(): x[0] += 1 return x[0]*x[0] return f sq = squarer() print(sq(), sq(), sq(), sq()) # "1 4 9 16" ``` An inner function cannot assign to a variable bound in an enclosing function, because the assignment would bind the variable in the inner function. In the example below, the `x += 1` statement binds `x` within `f`, hiding the outer `x`. Execution fails because the inner `x` has not been assigned before the attempt to increment it. ```python def squarer(): x = 0 def f(): x += 1 # dynamic error: local variable x referenced before assignment return x*x return f sq = squarer() ``` (Starlark has no equivalent of Python's `nonlocal` or `global` declarations, but as the first version of `squarer` showed, this omission can be worked around by using a list of a single element.) A name appearing after a dot, such as `split` in `get_filename().split('/')`, is not resolved statically. The [dot expression](#dot-expressions) `.split` is a dynamic operation on the value returned by `get_filename()`. ## Value concepts Starlark has eleven core [data types](#data-types). An application that embeds the Starlark intepreter may define additional types that behave like Starlark values. All values, whether core or application-defined, implement a few basic behaviors: ```text str(x) -- return a string representation of x type(x) -- return a string describing the type of x bool(x) -- convert x to a Boolean truth value ``` ### Identity and mutation Starlark is an imperative language: programs consist of sequences of statements executed for their side effects. For example, an assignment statement updates the value held by a variable, and calls to some built-in functions such as `print` change the state of the application that embeds the interpreter. Values of some data types, such as `NoneType`, `bool`, `int`, `float`, and `string`, are _immutable_; they can never change. Immutable values have no notion of _identity_: it is impossible for a Starlark program to tell whether two integers, for instance, are represented by the same object; it can tell only whether they are equal. Values of other data types, such as `list`, `dict`, and `set`, are _mutable_: they may be modified by a statement such as `a[i] = 0` or `items.clear()`. Although `tuple` and `function` values are not directly mutable, they may refer to mutable values indirectly, so for this reason we consider them mutable too. Starlark values of these types are actually _references_ to variables. Copying a reference to a variable, using an assignment statement for instance, creates an _alias_ for the variable, and the effects of operations applied to the variable through one alias are visible through all others. ```python x = [] # x refers to a new empty list variable y = x # y becomes an alias for x x.append(1) # changes the variable referred to by x print(y) # "[1]"; y observes the mutation ``` Starlark uses _call-by-value_ parameter passing: in a function call, argument values are assigned to function parameters as if by assignment statements. If the values are references, the caller and callee may refer to the same variables, so if the called function changes the variable referred to by a parameter, the effect may also be observed by the caller: ```python def f(y): y.append(1) # changes the variable referred to by x x = [] # x refers to a new empty list variable f(x) # f's parameter y becomes an alias for x print(x) # "[1]"; x observes the mutation ``` As in all imperative languages, understanding _aliasing_, the relationship between reference values and the variables to which they refer, is crucial to writing correct programs. ### Freezing a value Starlark has a feature unusual among imperative programming languages: a mutable value may be _frozen_ so that all subsequent attempts to mutate it fail with a dynamic error; the value, and all other values reachable from it, become _immutable_. Immediately after execution of a Starlark module, all values in its top-level environment are frozen. Because all the global variables of an initialized Starlark module are immutable, the module may be published to and used by other threads in a parallel program without the need for locks. For example, the Bazel build system loads and executes BUILD and .bzl files in parallel, and two modules being executed concurrently may freely access variables or call functions from a third without the possibility of a race condition. ### Hashing The `dict` and `set` data types are implemented using hash tables, so only _hashable_ values are suitable as keys of a `dict` or elements of a `set`. Attempting to use a non-hashable value as the key in a hash table results in a dynamic error. The hash of a value is an unspecified integer chosen so that two equal values have the same hash, in other words, `x == y => hash(x) == hash(y)`. A hashable value has the same hash throughout its lifetime. Values of the types `NoneType`, `bool`, `int`, `float`, and `string`, which are all immutable, are hashable. Values of mutable types such as `list`, `dict`, and `set` are not hashable. These values remain unhashable even if they have become immutable due to _freezing_. A `tuple` value is hashable only if all its elements are hashable. Thus `("localhost", 80)` is hashable but `([127, 0, 0, 1], 80)` is not. Values of the types `function` and `builtin_function_or_method` are also hashable. Although functions are not necessarily immutable, as they may be closures that refer to mutable variables, instances of these types are compared by reference identity (see [Comparisons](#comparisons)), so their hash values are derived from their identity. ### Sequence types Many Starlark data types represent a _sequence_ of values: lists, tuples, and sets are sequences of arbitrary values, and in many contexts dictionaries act like a sequence of their keys. We can classify different kinds of sequence types based on the operations they support. Each is listed below using the name of its corresponding interface in the interpreter's Go API. * `Iterable`: an _iterable_ value lets us process each of its elements in a fixed order. Examples: `dict`, `set`, `list`, `tuple`, but not `string`. * `Sequence`: a _sequence of known length_ lets us know how many elements it contains without processing them. Examples: `dict`, `set`, `list`, `tuple`, but not `string`. * `Indexable`: an _indexed_ type has a fixed length and provides efficient random access to its elements, which are identified by integer indices. Examples: `string`, `tuple`, and `list`. * `SetIndexable`: a _settable indexed type_ additionally allows us to modify the element at a given integer index. Example: `list`. * `Mapping`: a mapping is an association of keys to values. Example: `dict`. Although all of Starlark's core data types for sequences implement at least the `Sequence` contract, it's possible for an application that embeds the Starlark interpreter to define additional data types representing sequences of unknown length that implement only the `Iterable` contract. Strings are not iterable, though they do support the `len(s)` and `s[i]` operations. Starlark deviates from Python here to avoid a common pitfall in which a string is used by mistake where a list containing a single string was intended, resulting in its interpretation as a sequence of bytes. Most Starlark operators and built-in functions that need a sequence of values will accept any iterable. It is a dynamic error to mutate a sequence such as a list, set, or dictionary while iterating over it. ```python def increment_values(dict): for k in dict: dict[k] += 1 # error: cannot insert into hash table during iteration dict = {"one": 1, "two": 2} increment_values(dict) ``` ### Indexing Many Starlark operators and functions require an index operand `i`, such as `a[i]` or `list.insert(i, x)`. Others require two indices `i` and `j` that indicate the start and end of a sub-sequence, such as `a[i:j]`, `list.index(x, i, j)`, or `string.find(x, i, j)`. All such operations follow similar conventions, described here. Indexing in Starlark is *zero-based*. The first element of a string or list has index 0, the next 1, and so on. The last element of a sequence of length `n` has index `n-1`. ```python "hello"[0] # "h" "hello"[4] # "o" "hello"[5] # error: index out of range ``` For sub-sequence operations that require two indices, the first is _inclusive_ and the second _exclusive_. Thus `a[i:j]` indicates the sequence starting with element `i` up to but not including element `j`. The length of this sub-sequence is `j-i`. This convention is known as *half-open indexing*. ```python "hello"[1:4] # "ell" ``` Either or both of the index operands may be omitted. If omitted, the first is treated equivalent to 0 and the second is equivalent to the length of the sequence: ```python "hello"[1:] # "ello" "hello"[:4] # "hell" ``` It is permissible to supply a negative integer to an indexing operation. The effective index is computed from the supplied value by the following two-step procedure. First, if the value is negative, the length of the sequence is added to it. This provides a convenient way to address the final elements of the sequence: ```python "hello"[-1] # "o", like "hello"[4] "hello"[-3:-1] # "ll", like "hello"[2:4] ``` Second, for sub-sequence operations, if the value is still negative, it is replaced by zero, or if it is greater than the length `n` of the sequence, it is replaced by `n`. In effect, the index is "truncated" to the nearest value in the range `[0:n]`. ```python "hello"[-1000:+1000] # "hello" ``` This truncation step does not apply to indices of individual elements: ```python "hello"[-6] # error: index out of range "hello"[-5] # "h" "hello"[4] # "o" "hello"[5] # error: index out of range ``` ## Expressions An expression specifies the computation of a value. The Starlark grammar defines several categories of expression. An _operand_ is an expression consisting of a single token (such as an identifier or a literal), or a bracketed expression. Operands are self-delimiting. An operand may be followed by any number of dot, call, or slice suffixes, to form a _primary_ expression. In some places in the Starlark grammar where an expression is expected, it is legal to provide a comma-separated list of expressions denoting a tuple. The grammar uses `Expression` where a multiple-component expression is allowed, and `Test` where it accepts an expression of only a single component. ```grammar {.good} Expression = Test {',' Test} . Test = LambdaExpr | IfExpr | PrimaryExpr | UnaryExpr | BinaryExpr . PrimaryExpr = Operand | PrimaryExpr DotSuffix | PrimaryExpr CallSuffix | PrimaryExpr SliceSuffix . Operand = identifier | int | float | string | ListExpr | ListComp | DictExpr | DictComp | '(' [Expression] [,] ')' | ('-' | '+') PrimaryExpr . DotSuffix = '.' identifier . CallSuffix = '(' [Arguments [',']] ')' . SliceSuffix = '[' [Expression] [':' Test [':' Test]] ']' . ``` TODO: resolve position of +x, -x, and 'not x' in grammar: Operand or UnaryExpr? ### Identifiers ```grammar {.good} {.good} Primary = identifier ``` An identifier is a name that identifies a value. Lookup of locals and globals may fail if not yet defined. ### Literals Starlark supports literals of three different kinds: ```grammar {.good} Primary = int | float | string ``` Evaluation of a literal yields a value of the given type (string, int, or float) with the given value. See [Literals](#lexical-elements) for details. ### Parenthesized expressions ```grammar {.good} Primary = '(' [Expression] ')' ``` A single expression enclosed in parentheses yields the result of that expression. Explicit parentheses may be used for clarity, or to override the default association of subexpressions. ```python 1 + 2 * 3 + 4 # 11 (1 + 2) * (3 + 4) # 21 ``` If the parentheses are empty, or contain a single expression followed by a comma, or contain two or more expressions, the expression yields a tuple. ```python () # (), the empty tuple (1,) # (1,), a tuple of length 1 (1, 2) # (1, 2), a 2-tuple or pair (1, 2, 3) # (1, 2, 3), a 3-tuple or triple ``` In some contexts, such as a `return` or assignment statement or the operand of a `for` statement, a tuple may be expressed without parentheses. ```python x, y = 1, 2 return 1, 2 for x in 1, 2: print(x) ``` Starlark (like Python 3) does not accept an unparenthesized tuple expression as the operand of a list comprehension: ```python [2*x for x in 1, 2, 3] # parse error: unexpected ',' ``` ### Dictionary expressions A dictionary expression is a comma-separated list of colon-separated key/value expression pairs, enclosed in curly brackets, and it yields a new dictionary object. An optional comma may follow the final pair. ```grammar {.good} DictExpr = '{' [Entries [',']] '}' . Entries = Entry {',' Entry} . Entry = Test ':' Test . ``` Examples: ```python {} {"one": 1} {"one": 1, "two": 2,} ``` The key and value expressions are evaluated in left-to-right order. Evaluation fails if the same key is used multiple times. Only [hashable](#hashing) values may be used as the keys of a dictionary. This includes all built-in types except dictionaries, sets, and lists; a tuple is hashable only if its elements are hashable. ### List expressions A list expression is a comma-separated list of element expressions, enclosed in square brackets, and it yields a new list object. An optional comma may follow the last element expression. ```grammar {.good} ListExpr = '[' [Expression [',']] ']' . ``` Element expressions are evaluated in left-to-right order. Examples: ```python [] # [], empty list [1] # [1], a 1-element list [1, 2, 3,] # [1, 2, 3], a 3-element list ``` ### Unary operators There are three unary operators, all appearing before their operand: `+`, `-`, `~`, and `not`. ```grammar {.good} UnaryExpr = '+' PrimaryExpr | '-' PrimaryExpr | '~' PrimaryExpr | 'not' Test . ``` ```text + number unary positive (int, float) - number unary negation (int, float) ~ number unary bitwise inversion (int) not x logical negation (any type) ``` The `+` and `-` operators may be applied to any number (`int` or `float`) and return the number unchanged. Unary `+` is never necessary in a correct program, but may serve as an assertion that its operand is a number, or as documentation. ```python if x > 0: return +1 else if x < 0: return -1 else: return 0 ``` The `not` operator returns the negation of the truth value of its operand. ```python not True # False not False # True not [1, 2, 3] # False not "" # True not 0 # True ``` The `~` operator yields the bitwise inversion of its integer argument. The bitwise inversion of x is defined as -(x+1). ```python ~1 # -2 ~-1 # 0 ~0 # -1 ``` ### Binary operators Starlark has the following binary operators, arranged in order of increasing precedence: ```text or and == != < > <= >= in not in | ^ & << >> - + * / // % ``` Comparison operators, `in`, and `not in` are non-associative, so the parser will not accept `0 <= i < n`. All other binary operators of equal precedence associate to the left. ```grammar {.good} BinaryExpr = Test {Binop Test} . Binop = 'or' | 'and' | '==' | '!=' | '<' | '>' | '<=' | '>=' | 'in' | 'not' 'in' | '|' | '^' | '&' | '-' | '+' | '*' | '%' | '/' | '//' | '<<' | '>>' . ``` #### `or` and `and` The `or` and `and` operators yield, respectively, the logical disjunction and conjunction of their arguments, which need not be Booleans. The expression `x or y` yields the value of `x` if its truth value is `True`, or the value of `y` otherwise. ```starlark False or False # False False or True # True True or False # True True or True # True 0 or "hello" # "hello" 1 or "hello" # 1 ``` Similarly, `x and y` yields the value of `x` if its truth value is `False`, or the value of `y` otherwise. ```starlark False and False # False False and True # False True and False # False True and True # True 0 and "hello" # 0 1 and "hello" # "hello" ``` These operators use "short circuit" evaluation, so the second expression is not evaluated if the value of the first expression has already determined the result, allowing constructions like these: ```python len(x) > 0 and x[0] == 1 # x[0] is not evaluated if x is empty x and x[0] == 1 len(x) == 0 or x[0] == "" not x or not x[0] ``` #### Comparisons The `==` operator reports whether its operands are equal; the `!=` operator is its negation. The operators `<`, `>`, `<=`, and `>=` perform an ordered comparison of their operands. It is an error to apply these operators to operands of unequal type, unless one of the operands is an `int` and the other is a `float`. Of the built-in types, only the following support ordered comparison, using the ordering relation shown: ```shell NoneType # None <= None bool # False < True int # mathematical float # as defined by IEEE 754 string # lexicographical tuple # lexicographical list # lexicographical ``` Comparison of floating point values follows the IEEE 754 standard, which breaks several mathematical identities. For example, if `x` is a `NaN` value, the comparisons `x < y`, `x == y`, and `x > y` all yield false for all values of `y`. Applications may define additional types that support ordered comparison. The remaining built-in types support only equality comparisons. Values of type `dict` or `set` compare equal if their elements compare equal, and values of type `function` or `builtin_function_or_method` are equal only to themselves. ```shell dict # equal contents set # equal contents function # identity builtin_function_or_method # identity ``` #### Arithmetic operations The following table summarizes the binary arithmetic operations available for built-in types: ```shell Arithmetic (int or float; result has type float unless both operands have type int) number + number # addition number - number # subtraction number * number # multiplication number / number # real division (result is always a float) number // number # floored division number % number # remainder of floored division number ^ number # bitwise XOR number << number # bitwise left shift number >> number # bitwise right shift Concatenation string + string list + list tuple + tuple Repetition (string/list/tuple) int * sequence sequence * int String interpolation string % any # see String Interpolation Sets int | int # bitwise union (OR) set | set # set union int & int # bitwise intersection (AND) set & set # set intersection set ^ set # set symmetric difference ``` The operands of the arithmetic operators `+`, `-`, `*`, `//`, and `%` must both be numbers (`int` or `float`) but need not have the same type. The type of the result has type `int` only if both operands have that type. The result of real division `/` always has type `float`. The `+` operator may be applied to non-numeric operands of the same type, such as two lists, two tuples, or two strings, in which case it computes the concatenation of the two operands and yields a new value of the same type. ```python "Hello, " + "world" # "Hello, world" (1, 2) + (3, 4) # (1, 2, 3, 4) [1, 2] + [3, 4] # [1, 2, 3, 4] ``` The `*` operator may be applied to an integer _n_ and a value of type `string`, `list`, or `tuple`, in which case it yields a new value of the same sequence type consisting of _n_ repetitions of the original sequence. The order of the operands is immaterial. Negative values of _n_ behave like zero. ```python 'mur' * 2 # 'murmur' 3 * range(3) # [0, 1, 2, 0, 1, 2, 0, 1, 2] ``` Applications may define additional types that support any subset of these operators. The `&` operator requires two operands of the same type, either `int` or `set`. For integers, it yields the bitwise intersection (AND) of its operands. For sets, it yields a new set containing the intersection of the elements of the operand sets, preserving the element order of the left operand. The `|` operator likewise computes bitwise or set unions. The result of `set | set` is a new set whose elements are the union of the operands, preserving the order of the elements of the operands, left before right. The `^` operator accepts operands of either `int` or `set` type. For integers, it yields the bitwise XOR (exclusive OR) of its operands. For sets, it yields a new set containing elements of either first or second operand but not both (symmetric difference). The `<<` and `>>` operators require operands of `int` type both. They shift the first operand to the left or right by the number of bits given by the second operand. It is a dynamic error if the second operand is negative. Implementations may impose a limit on the second operand of a left shift. ```python 0x12345678 & 0xFF # 0x00000078 0x12345678 | 0xFF # 0x123456FF 0b01011101 ^ 0b110101101 # 0b111110000 0b01011101 >> 2 # 0b010111 0b01011101 << 2 # 0b0101110100 set([1, 2]) & set([2, 3]) # set([2]) set([1, 2]) | set([2, 3]) # set([1, 2, 3]) set([1, 2]) ^ set([2, 3]) # set([1, 3]) ``` Implementation note: The Go implementation of Starlark requires the `-set` flag to enable support for sets. The Java implementation does not support sets. #### Membership tests ```text any in sequence (list, tuple, dict, set, string) any not in sequence ``` The `in` operator reports whether its first operand is a member of its second operand, which must be a list, tuple, dict, set, or string. The `not in` operator is its negation. Both return a Boolean. The meaning of membership varies by the type of the second operand: the members of a list, tuple, or set are its elements; the members of a dict are its keys; the members of a string are all its substrings. ```python 1 in [1, 2, 3] # True 4 in (1, 2, 3) # False 4 not in set([1, 2, 3]) # True d = {"one": 1, "two": 2} "one" in d # True "three" in d # False 1 in d # False [] in d # False "nasty" in "dynasty" # True "a" in "banana" # True "f" not in "way" # True ``` #### String interpolation The expression `format % args` performs _string interpolation_, a simple form of template expansion. The `format` string is interpreted as a sequence of literal portions and _conversions_. Each conversion, which starts with a `%` character, is replaced by its corresponding value from `args`. The characters following `%` in each conversion determine which argument it uses and how to convert it to a string. Each `%` character marks the start of a conversion specifier, unless it is immediately followed by another `%`, in which case both characters together denote a literal percent sign. If the `"%"` is immediately followed by `"(key)"`, the parenthesized substring specifies the key of the `args` dictionary whose corresponding value is the operand to convert. Otherwise, the conversion's operand is the next element of `args`, which must be a tuple with exactly one component per conversion, unless the format string contains only a single conversion, in which case `args` itself is its operand. Starlark does not support the flag, width, and padding specifiers supported by Python's `%` and other variants of C's `printf`. After the optional `(key)` comes a single letter indicating what operand types are valid and how to convert the operand `x` to a string: ```text % none literal percent sign s any as if by str(x) r any as if by repr(x) d number signed integer decimal i number signed integer decimal o number signed octal x number signed hexadecimal, lowercase X number signed hexadecimal, uppercase e number float exponential format, lowercase E number float exponential format, uppercase f number float decimal format, lowercase F number float decimal format, uppercase g number like %e for large exponents, %f otherwise G number like %E for large exponents, %F otherwise c string x (string must encode a single Unicode code point) int as if by chr(x) ``` It is an error if the argument does not have the type required by the conversion specifier. A Boolean argument is not considered a number. Examples: ```python "Hello %s, your score is %d" % ("Bob", 75) # "Hello Bob, your score is 75" "%d %o %x %c" % (65, 65, 65, 65) # "65 101 41 A" (decimal, octal, hexadecimal, Unicode) "%(greeting)s, %(audience)s" % dict( # "Hello, world" greeting="Hello", audience="world", ) "rate = %g%% APR" % 3.5 # "rate = 3.5% APR" ``` One subtlety: to use a tuple as the operand of a conversion in format string containing only a single conversion, you must wrap the tuple in a singleton tuple: ```python "coordinates=%s" % (40.741491, -74.003680) # error: too many arguments for format string "coordinates=%s" % ((40.741491, -74.003680),) # "coordinates=(40.741491, -74.003680)" ``` TODO: specify `%e` and `%f` more precisely. ### Conditional expressions A conditional expression has the form `a if cond else b`. It first evaluates the condition `cond`. If it's true, it evaluates `a` and yields its value; otherwise it yields the value of `b`. ```grammar {.good} IfExpr = Test 'if' Test 'else' Test . ``` Example: ```python "yes" if enabled else "no" ``` ### Comprehensions A comprehension constructs new list or dictionary value by looping over one or more iterables and evaluating a _body_ expression that produces successive elements of the result. A list comprehension consists of a single expression followed by one or more _clauses_, the first of which must be a `for` clause. Each `for` clause resembles a `for` statement, and specifies an iterable operand and a set of variables to be assigned by successive values of the iterable. An `if` cause resembles an `if` statement, and specifies a condition that must be met for the body expression to be evaluated. A sequence of `for` and `if` clauses acts like a nested sequence of `for` and `if` statements. ```grammar {.good} ListComp = '[' Test {CompClause} ']'. DictComp = '{' Entry {CompClause} '}' . CompClause = 'for' LoopVariables 'in' Test | 'if' Test . LoopVariables = PrimaryExpr {',' PrimaryExpr} . ``` Examples: ```python [x*x for x in range(5)] # [0, 1, 4, 9, 16] [x*x for x in range(5) if x%2 == 0] # [0, 4, 16] [(x, y) for x in range(5) if x%2 == 0 for y in range(5) if y > x] # [(0, 1), (0, 2), (0, 3), (0, 4), (2, 3), (2, 4)] ``` A dict comprehension resembles a list comprehension, but its body is a pair of expressions, `key: value`, separated by a colon, and its result is a dictionary containing the key/value pairs for which the body expression was evaluated. Evaluation fails if the value of any key is unhashable. As with a `for` loop, the loop variables may exploit compound assignment: ```python [x*y+z for (x, y), z in [((2, 3), 5), (("o", 2), "!")]] # [11, 'oo!'] ``` Starlark, following Python 3, does not accept an unparenthesized tuple or lambda expression as the operand of a `for` clause: ```python [x*x for x in 1, 2, 3] # parse error: unexpected comma [x*x for x in lambda: 0] # parse error: unexpected lambda ``` Comprehensions in Starlark, again following Python 3, define a new lexical block, so assignments to loop variables have no effect on variables of the same name in an enclosing block: ```python x = 1 _ = [x for x in [2]] # new variable x is local to the comprehension print(x) # 1 ``` The operand of a comprehension's first clause (always a `for`) is resolved in the lexical block enclosing the comprehension. In the examples below, identifiers referring to the outer variable named `x` have been distinguished by subscript. ```python x₀ = (1, 2, 3) [x*x for x in x₀] # [1, 4, 9] [x*x for x in x₀ if x%2 == 0] # [4] ``` All subsequent `for` and `if` expressions are resolved within the comprehension's lexical block, as in this rather obscure example: ```python x₀ = ([1, 2], [3, 4], [5, 6]) [x*x for x in x₀ for x in x if x%2 == 0] # [4, 16, 36] ``` which would be more clearly rewritten as: ```python x = ([1, 2], [3, 4], [5, 6]) [z*z for y in x for z in y if z%2 == 0] # [4, 16, 36] ``` ### Function and method calls ```grammar {.good} CallSuffix = '(' [Arguments [',']] ')' . Arguments = Argument {',' Argument} . Argument = Test | identifier '=' Test | '*' Test | '**' Test . ``` A value `f` of type `function` or `builtin_function_or_method` may be called using the expression `f(...)`. Applications may define additional types whose values may be called in the same way. A method call such as `filename.endswith(".star")` is the composition of two operations, `m = filename.endswith` and `m(".star")`. The first, a dot operation, yields a _bound method_, a function value that pairs a receiver value (the `filename` string) with a choice of method ([string·endswith](#string·endswith)). Only built-in or application-defined types may have methods. See [Functions](#functions) for an explanation of function parameter passing. ### Dot expressions A dot expression `x.f` selects the attribute `f` (a field or method) of the value `x`. Fields are possessed by none of the main Starlark [data types](#data-types), but some application-defined types have them. Methods belong to the built-in types `string`, `list`, `dict`, and `set`, and to many application-defined types. ```grammar {.good} DotSuffix = '.' identifier . ``` A dot expression fails if the value does not have an attribute of the specified name. Use the built-in function `hasattr(x, "f")` to ascertain whether a value has a specific attribute, or `dir(x)` to enumerate all its attributes. The `getattr(x, "f")` function can be used to select an attribute when the name `"f"` is not known statically. A dot expression that selects a method typically appears within a call expression, as in these examples: ```python ["able", "baker", "charlie"].index("baker") # 1 "banana".count("a") # 3 "banana".reverse() # error: string has no .reverse field or method ``` But when not called immediately, the dot expression evaluates to a _bound method_, that is, a method coupled to a specific receiver value. A bound method can be called like an ordinary function, without a receiver argument: ```python f = "banana".count f # f("a") # 3 f("n") # 2 ``` ### Index expressions An index expression `a[i]` yields the `i`th element of an _indexable_ type such as a string, tuple, or list. The index `i` must be an `int` value in the range -`n` ≤ `i` < `n`, where `n` is `len(a)`; any other index results in an error. ```grammar {.good} SliceSuffix = '[' [Expression] [':' Test [':' Test]] ']' . ``` A valid negative index `i` behaves like the non-negative index `n+i`, allowing for convenient indexing relative to the end of the sequence. ```python "abc"[0] # "a" "abc"[1] # "b" "abc"[-1] # "c" ("zero", "one", "two")[0] # "zero" ("zero", "one", "two")[1] # "one" ("zero", "one", "two")[-1] # "two" ``` An index expression `d[key]` may also be applied to a dictionary `d`, to obtain the value associated with the specified key. It is an error if the dictionary contains no such key. An index expression appearing on the left side of an assignment causes the specified list or dictionary element to be updated: ```starlark a = range(3) # a == [0, 1, 2] a[2] = 7 # a == [0, 1, 7] coins["suzie b"] = 100 ``` It is a dynamic error to attempt to update an element of an immutable type, such as a tuple or string, or a frozen value of a mutable type. ### Slice expressions A slice expression `a[start:stop:stride]` yields a new value containing a sub-sequence of `a`, which must be a string, tuple, or list. ```grammar {.good} SliceSuffix = '[' [Expression] [':' Test [':' Test]] ']' . ``` Each of the `start`, `stop`, and `stride` operands is optional; if present, and not `None`, each must be an integer. The `stride` value defaults to 1. If the stride is not specified, the colon preceding it may be omitted too. It is an error to specify a stride of zero. Conceptually, these operands specify a sequence of values `i` starting at `start` and successively adding `stride` until `i` reaches or passes `stop`. The result consists of the concatenation of values of `a[i]` for which `i` is valid.` The effective start and stop indices are computed from the three operands as follows. Let `n` be the length of the sequence. If the stride is positive: If the `start` operand was omitted, it defaults to -infinity. If the `end` operand was omitted, it defaults to +infinity. For either operand, if a negative value was supplied, `n` is added to it. The `start` and `end` values are then "clamped" to the nearest value in the range 0 to `n`, inclusive. If the stride is negative: If the `start` operand was omitted, it defaults to +infinity. If the `end` operand was omitted, it defaults to -infinity. For either operand, if a negative value was supplied, `n` is added to it. The `start` and `end` values are then "clamped" to the nearest value in the range -1 to `n`-1, inclusive. ```python "abc"[1:] # "bc" (remove first element) "abc"[:-1] # "ab" (remove last element) "abc"[1:-1] # "b" (remove first and last element) "banana"[1::2] # "aaa" (select alternate elements starting at index 1) "banana"[4::-2] # "nnb" (select alternate elements in reverse, starting at index 4) ``` Unlike Python, Starlark does not allow a slice expression on the left side of an assignment. Slicing a tuple or string may be more efficient than slicing a list because tuples and strings are immutable, so the result of the operation can share the underlying representation of the original operand (when the stride is 1). By contrast, slicing a list requires the creation of a new list and copying of the necessary elements. ### Lambda expressions A `lambda` expression yields a new function value. ```grammar {.good} LambdaExpr = 'lambda' [Parameters] ':' Test . Parameters = Parameter {',' Parameter} . Parameter = identifier | identifier '=' Test | '*' | '*' identifier | '**' identifier . ``` Syntactically, a lambda expression consists of the keyword `lambda`, followed by a parameter list like that of a `def` statement but unparenthesized, then a colon `:`, and a single expression, the _function body_. Example: ```python def map(f, list): return [f(x) for x in list] map(lambda x: 2*x, range(3)) # [2, 4, 6] ``` As with functions created by a `def` statement, a lambda function captures the syntax of its body, the default values of any optional parameters, the value of each free variable appearing in its body, and the global dictionary of the current module. The name of a function created by a lambda expression is `"lambda"`. The two statements below are essentially equivalent, but the function created by the `def` statement is named `twice` and the function created by the lambda expression is named `lambda`. ```python def twice(x): return x * 2 twice = lambda x: x * 2 ``` ## Statements ```grammar {.good} Statement = DefStmt | IfStmt | ForStmt | SimpleStmt . SimpleStmt = SmallStmt {';' SmallStmt} [';'] '\n' . SmallStmt = ReturnStmt | BreakStmt | ContinueStmt | PassStmt | AssignStmt | ExprStmt | LoadStmt . ``` ### Pass statements A `pass` statement does nothing. Use a `pass` statement when the syntax requires a statement but no behavior is required, such as the body of a function that does nothing. ```grammar {.good} PassStmt = 'pass' . ``` Example: ```python def noop(): pass def list_to_dict(items): # Convert list of tuples to dict m = {} for k, m[k] in items: pass return m ``` ### Assignments An assignment statement has the form `lhs = rhs`. It evaluates the expression on the right-hand side then assigns its value (or values) to the variable (or variables) on the left-hand side. ```grammar {.good} AssignStmt = Expression '=' Expression . ``` The expression on the left-hand side is called a _target_. The simplest target is the name of a variable, but a target may also have the form of an index expression, to update the element of a list or dictionary, or a dot expression, to update the field of an object: ```python k = 1 a[i] = v m.f = "" ``` Compound targets may consist of a comma-separated list of subtargets, optionally surrounded by parentheses or square brackets, and targets may be nested arbitarily in this way. An assignment to a compound target checks that the right-hand value is a sequence with the same number of elements as the target. Each element of the sequence is then assigned to the corresponding element of the target, recursively applying the same logic. ```python pi, e = 3.141, 2.718 (x, y) = f() [zero, one, two] = range(3) [(a, b), (c, d)] = {"a": "b", "c": "d"}.items() a, b = {"a": 1, "b": 2} ``` The same process for assigning a value to a target expression is used in `for` loops and in comprehensions. ### Augmented assignments An augmented assignment, which has the form `lhs op= rhs` updates the variable `lhs` by applying a binary arithmetic operator `op` (one of `+`, `-`, `*`, `/`, `//`, `%`, `&`, `|`, `^`, `<<`, `>>`) to the previous value of `lhs` and the value of `rhs`. ```grammar {.good} AssignStmt = Expression ('+=' | '-=' | '*=' | '/=' | '//=' | '%=' | '&=' | '|=' | '^=' | '<<=' | '>>=') Expression . ``` The left-hand side must be a simple target: a name, an index expression, or a dot expression. ```python x -= 1 x.filename += ".star" a[index()] *= 2 ``` Any subexpressions in the target on the left-hand side are evaluated exactly once, before the evaluation of `rhs`. The first two assignments above are thus equivalent to: ```python x = x - 1 x.filename = x.filename + ".star" ``` and the third assignment is similar in effect to the following two statements but does not declare a new temporary variable `i`: ```python i = index() a[i] = a[i] * 2 ``` ### Function definitions A `def` statement creates a named function and assigns it to a variable. ```grammar {.good} DefStmt = 'def' identifier '(' [Parameters [',']] ')' ':' Suite . ``` Example: ```python def twice(x): return x * 2 str(twice) # "" twice(2) # 4 twice("two") # "twotwo" ``` The function's name is preceded by the `def` keyword and followed by the parameter list (which is enclosed in parentheses), a colon, and then an indented block of statements which form the body of the function. The parameter list is a comma-separated list whose elements are of several kinds. First come zero or more required parameters, which are simple identifiers; all calls must provide an argument value for these parameters. The required parameters are followed by zero or more optional parameters, of the form `name=expression`. The expression specifies the default value for the parameter for use in calls that do not provide an argument value for it. The required parameters are optionally followed by a single parameter name preceded by a `*`. This is the called the _varargs_ parameter, and it accumulates surplus positional arguments specified by a call. It is conventionally named `*args`. The varargs parameter may be followed by zero or more parameters, again of the forms `name` or `name=expression`, but these parameters differ from earlier ones in that they are _keyword-only_: if a call provides their values, it must do so as keyword arguments, not positional ones. ```python def f(a, *, b=2, c): print(a, b, c) f(1) # error: function f missing 1 argument (c) f(1, 3) # error: function f accepts 1 positional argument (2 given) f(1, c=3) # "1 2 3" def g(a, *args, b=2, c): print(a, b, c, args) g(1, 3) # error: function g missing 1 argument (c) g(1, 4, c=3) # "1 2 3 (4,)" ``` A non-variadic function may also declare keyword-only parameters, by using a bare `*` in place of the `*args` parameter. This form does not declare a parameter but marks the boundary between the earlier parameters and the keyword-only parameters. This form must be followed by at least one optional parameter. Finally, there may be an optional parameter name preceded by `**`. This is called the _keyword arguments_ parameter, and accumulates in a dictionary any surplus `name=value` arguments that do not match a prior parameter. It is conventionally named `**kwargs`. The final parameter may be followed by a trailing comma. Here are some example parameter lists: ```python def f(): pass def f(a, b, c): pass def f(a, b, c=1): pass def f(a, b, c=1, *args): pass def f(a, b, c=1, *args, **kwargs): pass def f(**kwargs): pass def f(a, b, c=1, *, d=1): pass def f( a, *args, **kwargs, ) ``` Execution of a `def` statement creates a new function object. The function object contains: the syntax of the function body; the default value for each optional parameter; the value of each free variable referenced within the function body; and the global dictionary of the current module. ### Return statements A `return` statement ends the execution of a function and returns a value to the caller of the function. ```grammar {.good} ReturnStmt = 'return' [Expression] . ``` A return statement may have zero, one, or more result expressions separated by commas. With no expressions, the function has the result `None`. With a single expression, the function's result is the value of that expression. With multiple expressions, the function's result is a tuple. ```python return # returns None return 1 # returns 1 return 1, 2 # returns (1, 2) ``` ### Expression statements An expression statement evaluates an expression and discards its result. ```grammar {.good} ExprStmt = Expression . ``` Any expression may be used as a statement, but an expression statement is most often used to call a function for its side effects. ```python list.append(1) ``` ### If statements An `if` statement evaluates an expression (the _condition_), then, if the truth value of the condition is `True`, executes a list of statements. ```grammar {.good} IfStmt = 'if' Test ':' Suite {'elif' Test ':' Suite} ['else' ':' Suite] . ``` Example: ```python if score >= 100: print("You win!") return ``` An `if` statement may have an `else` block defining a second list of statements to be executed if the condition is false. ```python if score >= 100: print("You win!") return else: print("Keep trying...") continue ``` It is common for the `else` block to contain another `if` statement. To avoid increasing the nesting depth unnecessarily, the `else` and following `if` may be combined as `elif`: ```python if x > 0: result = +1 elif x < 0: result = -1 else: result = 0 ``` An `if` statement is permitted only within a function definition. An `if` statement at top level results in a static error. Implementation note: The Go implementation of Starlark permits `if`-statements to appear at top level if the `-globalreassign` flag is enabled. ### While loops A `while` loop evaluates an expression (the _condition_) and if the truth value of the condition is `True`, it executes a list of statement and repeats the process until the truth value of the condition becomes `False`. ```grammar {.good} WhileStmt = 'while' Test ':' Suite . ``` Example: ```python while n > 0: r = r + n n = n - 1 ``` A `while` statement is permitted only within a function definition. A `while` statement at top level results in a static error. Implementation note: The Go implementation of Starlark permits `while` loops only if the `-recursion` flag is enabled. A `while` statement is permitted at top level if the `-globalreassign` flag is enabled. ### For loops A `for` loop evaluates its operand, which must be an iterable value. Then, for each element of the iterable's sequence, the loop assigns the successive element values to one or more variables and executes a list of statements, the _loop body_. ```grammar {.good} ForStmt = 'for' LoopVariables 'in' Expression ':' Suite . ``` Example: ```python for x in range(10): print(10) ``` The assignment of each value to the loop variables follows the same rules as an ordinary assignment. In this example, two-element lists are repeatedly assigned to the pair of variables (a, i): ```python for a, i in [["a", 1], ["b", 2], ["c", 3]]: print(a, i) # prints "a 1", "b 2", "c 3" ``` Because Starlark loops always iterate over a finite sequence, they are guaranteed to terminate, unlike loops in most languages which can execute an arbitrary and perhaps unbounded number of iterations. Within the body of a `for` loop, `break` and `continue` statements may be used to stop the execution of the loop or advance to the next iteration. In Starlark, a `for` loop is permitted only within a function definition. A `for` loop at top level results in a static error. Implementation note: The Go implementation of Starlark permits loops to appear at top level if the `-globalreassign` flag is enabled. ### Break and Continue The `break` and `continue` statements terminate the current iteration of a `for` loop. Whereas the `continue` statement resumes the loop at the next iteration, a `break` statement terminates the entire loop. ```grammar {.good} BreakStmt = 'break' . ContinueStmt = 'continue' . ``` Example: ```python for x in range(10): if x%2 == 1: continue # skip odd numbers if x > 7: break # stop at 8 print(x) # prints "0", "2", "4", "6" ``` Both statements affect only the innermost lexically enclosing loop. It is a static error to use a `break` or `continue` statement outside a loop. ### Load statements The `load` statement loads another Starlark module, extracts one or more values from it, and binds them to names in the current module. Syntactically, a load statement looks like a function call `load(...)`. ```grammar {.good} LoadStmt = 'load' '(' string {',' [identifier '='] string} [','] ')' . ``` A load statement requires at least two "arguments". The first must be a literal string; it identifies the module to load. Its interpretation is determined by the application into which the Starlark interpreter is embedded, and is not specified here. During execution, the application determines what action to take for a load statement. A typical implementation locates and executes a Starlark file, populating a cache of files executed so far to avoid duplicate work, to obtain a module, which is a mapping from global names to values. The remaining arguments are a mixture of literal strings, such as `"x"`, or named literal strings, such as `y="x"`. The literal string (`"x"`), which must denote a valid identifier not starting with `_`, specifies the name to extract from the loaded module. In effect, names starting with `_` are not exported. The name (`y`) specifies the local name; if no name is given, the local name matches the quoted name. ```python load("module.star", "x", "y", "z") # assigns x, y, and z load("module.star", "x", y2="y", "z") # assigns x, y2, and z ``` A load statement may not be nested inside any other statement. ## Module execution Each Starlark file defines a _module_, which is a mapping from the names of global variables to their values. When a Starlark file is executed, whether directly by the application or indirectly through a `load` statement, a new Starlark thread is created, and this thread executes all the top-level statements in the file. Because if-statements and for-loops cannot appear outside of a function, control flows from top to bottom. If execution reaches the end of the file, module initialization is successful. At that point, the value of each of the module's global variables is frozen, rendering subsequent mutation impossible. The module is then ready for use by another Starlark thread, such as one executing a load statement. Such threads may access values or call functions defined in the loaded module. A Starlark thread may carry state on behalf of the application into which it is embedded, and application-defined functions may behave differently depending on this thread state. Because module initialization always occurs in a new thread, thread state is never carried from a higher-level module into a lower-level one. The initialization behavior of a module is thus independent of whichever module triggered its initialization. If a Starlark thread encounters an error, execution stops and the error is reported to the application, along with a backtrace showing the stack of active function calls at the time of the error. If an error occurs during initialization of a Starlark module, any active `load` statements waiting for initialization of the module also fail. Starlark provides no mechanism by which errors can be handled within the language. ## Built-in constants and functions The outermost block of the Starlark environment is known as the "predeclared" block. It defines a number of fundamental values and functions needed by all Starlark programs, such as `None`, `True`, `False`, and `len`, and possibly additional application-specific names. These names are not reserved words so Starlark programs are free to redefine them in a smaller block such as a function body or even at the top level of a module. However, doing so may be confusing to the reader. Nonetheless, this rule permits names to be added to the predeclared block in later versions of the language (or application-specific dialect) without breaking existing programs. ### None `None` is the distinguished value of the type `NoneType`. ### True and False `True` and `False` are the two values of type `bool`. ### any `any(x)` returns `True` if any element of the iterable sequence x has a truth value of true. If the iterable is empty, it returns `False`. ### all `all(x)` returns `False` if any element of the iterable sequence x has a truth value of false. If the iterable is empty, it returns `True`. ### bool `bool(x)` interprets `x` as a Boolean value---`True` or `False`. With no argument, `bool()` returns `False`. ### chr `chr(i)` returns a string that encodes the single Unicode code point whose value is specified by the integer `i`. `chr` fails unless 0 ≤ `i` ≤ 0x10FFFF. Example: ```python chr(65) # "A", chr(1049) # "Й", CYRILLIC CAPITAL LETTER SHORT I chr(0x1F63F) # "😿", CRYING CAT FACE ``` See also: `ord`. Implementation note: `chr` is not provided by the Java implementation. ### dict `dict` creates a dictionary. It accepts up to one positional argument, which is interpreted as an iterable of two-element sequences (pairs), each specifying a key/value pair in the resulting dictionary. `dict` also accepts any number of keyword arguments, each of which specifies a key/value pair in the resulting dictionary; each keyword is treated as a string. ```python dict() # {}, empty dictionary dict([(1, 2), (3, 4)]) # {1: 2, 3: 4} dict([(1, 2), ["a", "b"]]) # {1: 2, "a": "b"} dict(one=1, two=2) # {"one": 1, "two", 1} dict([(1, 2)], x=3) # {1: 2, "x": 3} ``` With no arguments, `dict()` returns a new empty dictionary. `dict(x)` where x is a dictionary returns a new copy of x. ### dir `dir(x)` returns a new sorted list of the names of the attributes (fields and methods) of its operand. The attributes of a value `x` are the names `f` such that `x.f` is a valid expression. For example, ```python dir("hello") # ['capitalize', 'count', ...], the methods of a string ``` Several types known to the interpreter, such as list, string, and dict, have methods, but none have fields. However, an application may define types with fields that may be read or set by statements such as these: ```text y = x.f x.f = y ``` ### enumerate `enumerate(x)` returns a list of (index, value) pairs, each containing successive values of the iterable sequence xand the index of the value within the sequence. The optional second parameter, `start`, specifies an integer value to add to each index. ```python enumerate(["zero", "one", "two"]) # [(0, "zero"), (1, "one"), (2, "two")] enumerate(["one", "two"], 1) # [(1, "one"), (2, "two")] ``` ### fail The `fail(*args, sep=" ")` function causes execution to fail with the specified error message. Like `print`, arguments are formatted as if by `str(x)` and separated by a space, unless an alternative separator is specified by a `sep` named argument. ```python fail("oops") # "fail: oops" fail("oops", 1, False, sep='/') # "fail: oops/1/False" ``` ### float `float(x)` interprets its argument as a floating-point number. If x is a `float`, the result is x. if x is an `int`, the result is the nearest floating point value to x. If x is a string, the string is interpreted as a floating-point literal. With no arguments, `float()` returns `0.0`. ### getattr `getattr(x, name)` returns the value of the attribute (field or method) of x named `name`. It is a dynamic error if x has no such attribute. `getattr(x, "f")` is equivalent to `x.f`. ```python getattr("banana", "split")("a") # ["b", "n", "n", ""], equivalent to "banana".split("a") ``` The three-argument form `getattr(x, name, default)` returns the provided `default` value instead of failing. ### hasattr `hasattr(x, name)` reports whether x has an attribute (field or method) named `name`. ### hash `hash(x)` returns an integer hash of a string x such that two equal strings have the same hash. In other words `x == y` implies `hash(x) == hash(y)`. In the interests of reproducibility of Starlark program behavior over time and across implementations, the specific hash function is the same as that implemented by [java.lang.String.hashCode](https://docs.oracle.com/javase/7/docs/api/java/lang/String.html#hashCode), a simple polynomial accumulator over the UTF-16 transcoding of the string: ``` s[0]*31^(n-1) + s[1]*31^(n-2) + ... + s[n-1] ``` `hash` fails if given a non-string operand, even if the value is hashable and thus suitable as the key of dictionary. ### int `int(x[, base])` interprets its argument as an integer. If x is an `int`, the result is x. If x is a `float`, the result is the integer value nearest to x, truncating towards zero; it is an error if x is not finite (`NaN`, `+Inf`, `-Inf`). If x is a `bool`, the result is 0 for `False` or 1 for `True`. If x is a string, it is interpreted as a sequence of digits in the specified base, decimal by default. If `base` is zero, x is interpreted like an integer literal, the base being inferred from an optional base prefix such as `0b`, `0o`, or `0x` preceding the first digit. When the `base` is provided explictly, a matching base prefix is also permitted, and has no effect. Irrespective of base, the string may start with an optional `+` or `-` sign indicating the sign of the result. ```python int("11") # 11 int("11", 0) # 11 int("11", 10) # 11 int("11", 2) # 3 int("11", 8) # 9 int("11", 16) # 17 int("0x11", 0) # 17 int("0x11", 16) # 17 int("0b1", 16) # 177 (0xb1) int("0b1", 2) # 1 int("0b1", 0) # 1 int("0x11") # error: invalid literal with base 10 ``` ### len `len(x)` returns the number of elements in its argument. It is a dynamic error if its argument is not a sequence. ### list `list` constructs a list. `list(x)` returns a new list containing the elements of the iterable sequence x. With no argument, `list()` returns a new empty list. ### max `max(x)` returns the greatest element in the iterable sequence x. It is an error if any element does not support ordered comparison, or if the sequence is empty. The optional named parameter `key` specifies a function to be applied to each element prior to comparison. ```python max([3, 1, 4, 1, 5, 9]) # 9 max("two", "three", "four") # "two", the lexicographically greatest max("two", "three", "four", key=len) # "three", the longest ``` ### min `min(x)` returns the least element in the iterable sequence x. It is an error if any element does not support ordered comparison, or if the sequence is empty. ```python min([3, 1, 4, 1, 5, 9]) # 1 min("two", "three", "four") # "four", the lexicographically least min("two", "three", "four", key=len) # "two", the shortest ``` ### ord `ord(s)` returns the integer value of the sole Unicode code point encoded by the string `s`. If `s` does not encode exactly one Unicode code point, `ord` fails. Each invalid code within the string is treated as if it encodes the Unicode replacement character, U+FFFD. Example: ```python ord("A") # 65 ord("Й") # 1049 ord("😿") # 0x1F63F ord("Й"[1:]) # 0xFFFD (Unicode replacement character) ``` See also: `chr`. Implementation note: `ord` is not provided by the Java implementation. ### print `print(*args, sep=" ")` prints its arguments, followed by a newline. Arguments are formatted as if by `str(x)` and separated with a space, unless an alternative separator is specified by a `sep` named argument. Example: ```python print(1, "hi") # "1 hi\n" print("hello", "world") # "hello world\n" print("hello", "world", sep=", ") # "hello, world\n" ``` Typically the formatted string is printed to the standard error file, but the exact behavior is a property of the Starlark thread and is determined by the host application. ### range `range` returns an immutable sequence of integers defined by the specified interval and stride. ```python range(stop) # equivalent to range(0, stop) range(start, stop) # equivalent to range(start, stop, 1) range(start, stop, step) ``` `range` requires between one and three integer arguments. With one argument, `range(stop)` returns the ascending sequence of non-negative integers less than `stop`. With two arguments, `range(start, stop)` returns only integers not less than `start`. With three arguments, `range(start, stop, step)` returns integers formed by successively adding `step` to `start` until the value meets or passes `stop`. A call to `range` fails if the value of `step` is zero. A call to `range` does not materialize the entire sequence, but returns a fixed-size value of type `"range"` that represents the parameters that define the sequence. The `range` value is iterable and may be indexed efficiently. ```python list(range(10)) # [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] list(range(3, 10)) # [3, 4, 5, 6, 7, 8, 9] list(range(3, 10, 2)) # [3, 5, 7, 9] list(range(10, 3, -2)) # [10, 8, 6, 4] ``` The `len` function applied to a `range` value returns its length. The truth value of a `range` value is `True` if its length is non-zero. Range values are comparable: two `range` values compare equal if they denote the same sequence of integers, even if they were created using different parameters. Range values are not hashable. The `str` function applied to a `range` value yields a string of the form `range(10)`, `range(1, 10)`, or `range(1, 10, 2)`. The `x in y` operator, where `y` is a range, reports whether `x` is equal to some member of the sequence `y`; the operation fails unless `x` is a number. ### repr `repr(x)` formats its argument as a string. All strings in the result are double-quoted. ```python repr(1) # '1' repr("x") # '"x"' repr([1, "x"]) # '[1, "x"]' ``` ### reversed `reversed(x)` returns a new list containing the elements of the iterable sequence x in reverse order. ```python reversed(range(5)) # [4, 3, 2, 1, 0] reversed("stressed".codepoints()) # ["d", "e", "s", "s", "e", "r", "t", "s"] reversed({"one": 1, "two": 2}.keys()) # ["two", "one"] ``` ### set `set(x)` returns a new set containing the elements of the iterable x. With no argument, `set()` returns a new empty set. ```python set([3, 1, 4, 1, 5, 9]) # set([3, 1, 4, 5, 9]) ``` Implementation note: Sets are an optional feature of the Go implementation of Starlark, enabled by the `-set` flag. ### sorted `sorted(x)` returns a new list containing the elements of the iterable sequence x, in sorted order. The sort algorithm is stable. The optional named parameter `reverse`, if true, causes `sorted` to return results in reverse sorted order. The optional named parameter `key` specifies a function of one argument to apply to obtain the value's sort key. The default behavior is the identity function. ```python sorted(set("harbors".codepoints())) # ['a', 'b', 'h', 'o', 'r', 's'] sorted([3, 1, 4, 1, 5, 9]) # [1, 1, 3, 4, 5, 9] sorted([3, 1, 4, 1, 5, 9], reverse=True) # [9, 5, 4, 3, 1, 1] sorted(["two", "three", "four"], key=len) # ["two", "four", "three"], shortest to longest sorted(["two", "three", "four"], key=len, reverse=True) # ["three", "four", "two"], longest to shortest ``` ### str `str(x)` formats its argument as a string. If x is a string, the result is x (without quotation). All other strings, such as elements of a list of strings, are double-quoted. ```python str(1) # '1' str("x") # 'x' str([1, "x"]) # '[1, "x"]' ``` ### tuple `tuple(x)` returns a tuple containing the elements of the iterable x. With no arguments, `tuple()` returns the empty tuple. ### type type(x) returns a string describing the type of its operand. ```python type(None) # "NoneType" type(0) # "int" type(0.0) # "float" ``` ### zip `zip()` returns a new list of n-tuples formed from corresponding elements of each of the n iterable sequences provided as arguments to `zip`. That is, the first tuple contains the first element of each of the sequences, the second element contains the second element of each of the sequences, and so on. The result list is only as long as the shortest of the input sequences. ```python zip() # [] zip(range(5)) # [(0,), (1,), (2,), (3,), (4,)] zip(range(5), "abc") # [(0, "a"), (1, "b"), (2, "c")] ``` ## Built-in methods This section lists the methods of built-in types. Methods are selected using [dot expressions](#dot-expressions). For example, strings have a `count` method that counts occurrences of a substring; `"banana".count("a")` yields `3`. As with built-in functions, built-in methods accept only positional arguments except where noted. The parameter names serve merely as documentation. ### dict·clear `D.clear()` removes all the entries of dictionary D and returns `None`. It fails if the dictionary is frozen or if there are active iterators. ```python x = {"one": 1, "two": 2} x.clear() # None print(x) # {} ``` ### dict·get `D.get(key[, default])` returns the dictionary value corresponding to the given key. If the dictionary contains no such value, `get` returns `None`, or the value of the optional `default` parameter if present. `get` fails if `key` is unhashable, or the dictionary is frozen or has active iterators. ```python x = {"one": 1, "two": 2} x.get("one") # 1 x.get("three") # None x.get("three", 0) # 0 ``` ### dict·items `D.items()` returns a new list of key/value pairs, one per element in dictionary D, in the same order as they would be returned by a `for` loop. ```python x = {"one": 1, "two": 2} x.items() # [("one", 1), ("two", 2)] ``` ### dict·keys `D.keys()` returns a new list containing the keys of dictionary D, in the same order as they would be returned by a `for` loop. ```python x = {"one": 1, "two": 2} x.keys() # ["one", "two"] ``` ### dict·pop `D.pop(key[, default])` returns the value corresponding to the specified key, and removes it from the dictionary. If the dictionary contains no such value, and the optional `default` parameter is present, `pop` returns that value; otherwise, it fails. `pop` fails if `key` is unhashable, or the dictionary is frozen or has active iterators. ```python x = {"one": 1, "two": 2} x.pop("one") # 1 x # {"two": 2} x.pop("three", 0) # 0 x.pop("four") # error: missing key ``` ### dict·popitem `D.popitem()` returns the first key/value pair, removing it from the dictionary. `popitem` fails if the dictionary is empty, frozen, or has active iterators. ```python x = {"one": 1, "two": 2} x.popitem() # ("one", 1) x.popitem() # ("two", 2) x.popitem() # error: empty dict ``` ### dict·setdefault `D.setdefault(key[, default])` returns the dictionary value corresponding to the given key. If the dictionary contains no such value, `setdefault`, like `get`, returns `None` or the value of the optional `default` parameter if present; `setdefault` additionally inserts the new key/value entry into the dictionary. `setdefault` fails if the key is unhashable, or if the dictionary is frozen or has active iterators. ```python x = {"one": 1, "two": 2} x.setdefault("one") # 1 x.setdefault("three", 0) # 0 x # {"one": 1, "two": 2, "three": 0} x.setdefault("four") # None x # {"one": 1, "two": 2, "three": None} ``` ### dict·update `D.update([pairs][, name=value[, ...])` makes a sequence of key/value insertions into dictionary D, then returns `None.` If the positional argument `pairs` is present, it must be `None`, another `dict`, or some other iterable. If it is another `dict`, then its key/value pairs are inserted into D. If it is an iterable, it must provide a sequence of pairs (or other iterables of length 2), each of which is treated as a key/value pair to be inserted into D. For each `name=value` argument present, the name is converted to a string and used as the key for an insertion into D, with its corresponding value being `value`. `update` fails if the dictionary is frozen or has active iterators. ```python x = {} x.update([("a", 1), ("b", 2)], c=3) x.update({"d": 4}) x.update(e=5) x # {"a": 1, "b": "2", "c": 3, "d": 4, "e": 5} ``` ### dict·values `D.values()` returns a new list containing the dictionary's values, in the same order as they would be returned by a `for` loop over the dictionary. ```python x = {"one": 1, "two": 2} x.values() # [1, 2] ``` ### list·append `L.append(x)` appends `x` to the list L, and returns `None`. `append` fails if the list is frozen or has active iterators. ```python x = [] x.append(1) # None x.append(2) # None x.append(3) # None x # [1, 2, 3] ``` ### list·clear `L.clear()` removes all the elements of the list L and returns `None`. It fails if the list is frozen or if there are active iterators. ```python x = [1, 2, 3] x.clear() # None x # [] ``` ### list·extend `L.extend(x)` appends the elements of `x`, which must be iterable, to the list L, and returns `None`. `extend` fails if `x` is not iterable, or if the list L is frozen or has active iterators. ```python x = [] x.extend([1, 2, 3]) # None x.extend(["foo"]) # None x # [1, 2, 3, "foo"] ``` ### list·index `L.index(x[, start[, end]])` finds `x` within the list L and returns its index. The optional `start` and `end` parameters restrict the portion of list L that is inspected. If provided and not `None`, they must be list indices of type `int`. If an index is negative, `len(L)` is effectively added to it, then if the index is outside the range `[0:len(L)]`, the nearest value within that range is used; see [Indexing](#indexing). `index` fails if `x` is not found in L, or if `start` or `end` is not a valid index (`int` or `None`). ```python x = list("banana".codepoints()) x.index("a") # 1 (bAnana) x.index("a", 2) # 3 (banAna) x.index("a", -2) # 5 (bananA) ``` ### list·insert `L.insert(i, x)` inserts the value `x` in the list L at index `i`, moving higher-numbered elements along by one. It returns `None`. As usual, the index `i` must be an `int`. If its value is negative, the length of the list is added, then its value is clamped to the nearest value in the range `[0:len(L)]` to yield the effective index. `insert` fails if the list is frozen or has active iterators. ```python x = ["b", "c", "e"] x.insert(0, "a") # None x.insert(-1, "d") # None x # ["a", "b", "c", "d", "e"] ``` ### list·pop `L.pop([index])` removes and returns the last element of the list L, or, if the optional index is provided, at that index. `pop` fails if the index is not valid for `L[i]`, or if the list is frozen or has active iterators. ```python x = [1, 2, 3, 4, 5] x.pop() # 5 x # [1, 2, 3, 4] x.pop(-2) # 3 x # [1, 2, 4] x.pop(-3) # 1 x # [2, 4] x.pop() # 4 x # [2] ``` ### list·remove `L.remove(x)` removes the first occurrence of the value `x` from the list L, and returns `None`. `remove` fails if the list does not contain `x`, is frozen, or has active iterators. ```python x = [1, 2, 3, 2] x.remove(2) # None (x == [1, 3, 2]) x.remove(2) # None (x == [1, 3]) x.remove(2) # error: element not found ``` ### set·union `S.union(iterable)` returns a new set into which have been inserted all the elements of set S and all the elements of the argument, which must be iterable. `union` fails if any element of the iterable is not hashable. ```python x = set([1, 2]) y = set([2, 3]) x.union(y) # set([1, 2, 3]) ``` ### string·elem_ords `S.elem_ords()` returns an iterable value containing the sequence of numeric bytes values in the string S. To materialize the entire sequence of bytes, apply `list(...)` to the result. Example: ```python list("Hello, 世界".elem_ords()) # [72, 101, 108, 108, 111, 44, 32, 228, 184, 150, 231, 149, 140] ``` See also: `string·elems`. Implementation note: `elem_ords` is not provided by the Java implementation. ### string·capitalize `S.capitalize()` returns a copy of string S with its first code point changed to its title case and all subsequent letters changed to their lower case. ```python "hello, world!".capitalize() # "Hello, world!" "hElLo, wOrLd!".capitalize() # "Hello, world!" "¿Por qué?".capitalize() # "¿por qué?" ``` ### string·codepoint_ords `S.codepoint_ords()` returns an iterable value containing the sequence of integer Unicode code points encoded by the string S. Each invalid code within the string is treated as if it encodes the Unicode replacement character, U+FFFD. By returning an iterable, not a list, the cost of decoding the string is deferred until actually needed; apply `list(...)` to the result to materialize the entire sequence. Example: ```python list("Hello, 世界".codepoint_ords()) # [72, 101, 108, 108, 111, 44, 32, 19990, 30028] for cp in "Hello, 世界".codepoint_ords(): print(chr(cp)) # prints 'H', 'e', 'l', 'l', 'o', ',', ' ', '世', '界' ``` See also: `string·codepoints`. Implementation note: `codepoint_ords` is not provided by the Java implementation. ### string·count `S.count(sub[, start[, end]])` returns the number of occcurences of `sub` within the string S, or, if the optional substring indices `start` and `end` are provided, within the designated substring of S. They are interpreted according to Starlark's [indexing conventions](#indexing). ```python "hello, world!".count("o") # 2 "hello, world!".count("o", 7, 12) # 1 (in "world") ``` ### string·endswith `S.endswith(suffix[, start[, end]])` reports whether the string `S[start:end]` has the specified suffix. ```python "filename.star".endswith(".star") # True ``` The `suffix` argument may be a tuple of strings, in which case the function reports whether any one of them is a suffix. ```python 'foo.cc'.endswith(('.cc', '.h')) # True ``` ### string·find `S.find(sub[, start[, end]])` returns the index of the first occurrence of the substring `sub` within S. If either or both of `start` or `end` are specified, they specify a subrange of S to which the search should be restricted. They are interpreted according to Starlark's [indexing conventions](#indexing). If no occurrence is found, `found` returns -1. ```python "bonbon".find("on") # 1 "bonbon".find("on", 2) # 4 "bonbon".find("on", 2, 5) # -1 ``` ### string·format `S.format(*args, **kwargs)` returns a version of the format string S in which bracketed portions `{...}` are replaced by arguments from `args` and `kwargs`. Within the format string, a pair of braces `{{` or `}}` is treated as a literal open or close brace. Each unpaired open brace must be matched by a close brace `}`. The optional text between corresponding open and close braces specifies which argument to use and how to format it, and consists of three components, all optional: a field name, a conversion preceded by '`!`', and a format specifier preceded by '`:`'. ```text {field} {field:spec} {field!conv} {field!conv:spec} ``` The *field name* may be either a decimal number or a keyword. A number is interpreted as the index of a positional argument; a keyword specifies the value of a keyword argument. If all the numeric field names form the sequence 0, 1, 2, and so on, they may be omitted and those values will be implied; however, the explicit and implicit forms may not be mixed. The *conversion* specifies how to convert an argument value `x` to a string. It may be either `!r`, which converts the value using `repr(x)`, or `!s`, which converts the value using `str(x)` and is the default. The *format specifier*, after a colon, specifies field width, alignment, padding, and numeric precision. Currently it must be empty, but it is reserved for future use. ```python "a{x}b{y}c{}".format(1, x=2, y=3) # "a2b3c1" "a{}b{}c".format(1, 2) # "a1b2c" "({1}, {0})".format("zero", "one") # "(one, zero)" "Is {0!r} {0!s}?".format('heterological') # 'is "heterological" heterological?' ``` ### string·index `S.index(sub[, start[, end]])` returns the index of the first occurrence of the substring `sub` within S, like `S.find`, except that if the substring is not found, the operation fails. ```python "bonbon".index("on") # 1 "bonbon".index("on", 2) # 4 "bonbon".index("on", 2, 5) # error: substring not found (in "nbo") ``` ### string·isalnum `S.isalnum()` reports whether the string S is non-empty and consists only Unicode letters and digits. ```python "base64".isalnum() # True "Catch-22".isalnum() # False ``` ### string·isalpha `S.isalpha()` reports whether the string S is non-empty and consists only of Unicode letters. ```python "ABC".isalpha() # True "Catch-22".isalpha() # False "".isalpha() # False ``` ### string·isdigit `S.isdigit()` reports whether the string S is non-empty and consists only of Unicode digits. ```python "123".isdigit() # True "Catch-22".isdigit() # False "".isdigit() # False ``` ### string·islower `S.islower()` reports whether the string S contains at least one cased Unicode letter, and all such letters are lowercase. ```python "hello, world".islower() # True "Catch-22".islower() # False "123".islower() # False ``` ### string·isspace `S.isspace()` reports whether the string S is non-empty and consists only of Unicode spaces. ```python " ".isspace() # True "\r\t\n".isspace() # True "".isspace() # False ``` ### string·istitle `S.istitle()` reports whether the string S contains at least one cased Unicode letter, and all such letters that begin a word are in title case. ```python "Hello, World!".istitle() # True "Catch-22".istitle() # True "HAL-9000".istitle() # False "Dženan".istitle() # True "DŽenan".istitle() # False ("DŽ" is a single Unicode letter) "123".istitle() # False ``` ### string·isupper `S.isupper()` reports whether the string S contains at least one cased Unicode letter, and all such letters are uppercase. ```python "HAL-9000".isupper() # True "Catch-22".isupper() # False "123".isupper() # False ``` ### string·join `S.join(iterable)` returns the string formed by concatenating each element of its argument, with a copy of the string S between successive elements. The argument must be an iterable whose elements are strings. ```python ", ".join(["one", "two", "three"]) # "one, two, three" "a".join("ctmrn".codepoints()) # "catamaran" ``` ### string·lower `S.lower()` returns a copy of the string S with letters converted to lowercase. ```python "Hello, World!".lower() # "hello, world!" ``` ### string·lstrip `S.lstrip()` returns a copy of the string S with leading whitespace removed. Like `strip`, it accepts an optional string parameter that specifies an alternative set of Unicode code points to remove. ```python " hello ".lstrip() # "hello " " hello ".lstrip("h o") # "ello " ``` ### string·partition `S.partition(x)` splits string S into three parts and returns them as a tuple: the portion before the first occurrence of string `x`, `x` itself, and the portion following it. If S does not contain `x`, `partition` returns `(S, "", "")`. `partition` fails if `x` is not a string, or is the empty string. ```python "one/two/three".partition("/") # ("one", "/", "two/three") ``` ### string·replace `S.replace(old, new[, count])` returns a copy of string S with all occurrences of substring `old` replaced by `new`. If the optional argument `count`, which must be an `int`, is non-negative, it specifies a maximum number of occurrences to replace. ```python "banana".replace("a", "o") # "bonono" "banana".replace("a", "o", 2) # "bonona" ``` ### string·rfind `S.rfind(sub[, start[, end]])` returns the index of the substring `sub` within S, like `S.find`, except that `rfind` returns the index of the substring's _last_ occurrence. ```python "bonbon".rfind("on") # 4 "bonbon".rfind("on", None, 5) # 1 "bonbon".rfind("on", 2, 5) # -1 ``` ### string·rindex `S.rindex(sub[, start[, end]])` returns the index of the substring `sub` within S, like `S.index`, except that `rindex` returns the index of the substring's _last_ occurrence. ```python "bonbon".rindex("on") # 4 "bonbon".rindex("on", None, 5) # 1 (in "bonbo") "bonbon".rindex("on", 2, 5) # error: substring not found (in "nbo") ``` ### string·rpartition `S.rpartition(x)` is like `partition`, but splits `S` at the last occurrence of `x`. ```python "one/two/three".partition("/") # ("one/two", "/", "three") ``` ### string·rsplit `S.rsplit([sep[, maxsplit]])` splits a string into substrings like `S.split`, except that when a maximum number of splits is specified, `rsplit` chooses the rightmost splits. ```python "banana".rsplit("n") # ["ba", "a", "a"] "banana".rsplit("n", 1) # ["bana", "a"] "one two three".rsplit(None, 1) # ["one two", "three"] "".rsplit("n") # [""] ``` ### string·rstrip `S.rstrip()` returns a copy of the string S with trailing whitespace removed. Like `strip`, it accepts an optional string parameter that specifies an alternative set of Unicode code points to remove. ```python " hello ".rstrip() # " hello" " hello ".rstrip("h o") # " hell" ``` ### string·split `S.split([sep [, maxsplit]])` returns the list of substrings of S, splitting at occurrences of the delimiter string `sep`. Consecutive occurrences of `sep` are considered to delimit empty strings, so `'food'.split('o')` returns `['f', '', 'd']`. Splitting an empty string with a specified separator returns `['']`. If `sep` is the empty string, `split` fails. If `sep` is not specified or is `None`, `split` uses a different algorithm: it removes all leading spaces from S (or trailing spaces in the case of `rsplit`), then splits the string around each consecutive non-empty sequence of Unicode white space characters. If S consists only of white space, `S.split()` returns the empty list. If `maxsplit` is given and non-negative, it specifies a maximum number of splits. ```python "one two three".split() # ["one", "two", "three"] "one two three".split(" ") # ["one", "two", "", "three"] "one two three".split(None, 1) # ["one", "two three"] "banana".split("n") # ["ba", "a", "a"] "banana".split("n", 1) # ["ba", "ana"] "".split("n") # [""] ``` ### string·elems `S.elems()` returns an iterable value containing successive 1-byte substrings of S. To materialize the entire sequence, apply `list(...)` to the result. Example: ```python list('Hello, 世界'.elems()) # ["H", "e", "l", "l", "o", ",", " ", "\xe4", "\xb8", "\x96", "\xe7", "\x95", "\x8c"] ``` See also: `string·elem_ords`. ### string·codepoints `S.codepoints()` returns an iterable value containing the sequence of substrings of S that each encode a single Unicode code point. Each invalid code within the string is treated as if it encodes the Unicode replacement character, U+FFFD. By returning an iterable, not a list, the cost of decoding the string is deferred until actually needed; apply `list(...)` to the result to materialize the entire sequence. Example: ```python list('Hello, 世界'.codepoints()) # ['H', 'e', 'l', 'l', 'o', ',', ' ', '世', '界'] for cp in 'Hello, 世界'.codepoints(): print(cp) # prints 'H', 'e', 'l', 'l', 'o', ',', ' ', '世', '界' ``` See also: `string·codepoint_ords`. Implementation note: `codepoints` is not provided by the Java implementation. ### string·splitlines `S.splitlines([keepends])` returns a list whose elements are the successive lines of S, that is, the strings formed by splitting S at line terminators (currently assumed to be a single newline, `\n`, regardless of platform). The optional argument, `keepends`, is interpreted as a Boolean. If true, line terminators are preserved in the result, though the final element does not necessarily end with a line terminator. As a special case, if S is the empty string, `splitlines` returns the empty list. ```python "one\n\ntwo".splitlines() # ["one", "", "two"] "one\n\ntwo".splitlines(True) # ["one\n", "\n", "two"] "".splitlines() # [] -- a special case ``` ### string·startswith `S.startswith(prefix[, start[, end]])` reports whether the string `S[start:end]` has the specified prefix. ```python "filename.star".startswith("filename") # True ``` The `prefix` argument may be a tuple of strings, in which case the function reports whether any one of them is a prefix. ```python 'abc'.startswith(('a', 'A')) # True 'ABC'.startswith(('a', 'A')) # True 'def'.startswith(('a', 'A')) # False ``` ### string·strip `S.strip()` returns a copy of the string S with leading and trailing whitespace removed. It accepts an optional string argument: `S.strip(cutset)` instead removes all leading and trailing Unicode code points contained in `cutset`. ```python " hello ".strip() # "hello" " hello ".strip("h o") # "ell" ``` ### string·title `S.title()` returns a copy of the string S with letters converted to title case. Letters are converted to upper case at the start of words, lower case elsewhere. ```python "hElLo, WoRlD!".title() # "Hello, World!" "dženan".title() # "Dženan" ("Dž" is a single Unicode letter) ``` ### string·upper `S.upper()` returns a copy of the string S with letters converted to uppercase. ```python "Hello, World!".upper() # "HELLO, WORLD!" ``` ## Dialect differences The list below summarizes features of the Go implementation that are known to differ from the Java implementation of Starlark used by Bazel. Some of these features may be controlled by global options to allow applications to mimic the Bazel dialect more closely. Our goal is eventually to eliminate all such differences on a case-by-case basis. See [Starlark spec issue 20](https://github.com/bazelbuild/starlark/issues/20). * String interpolation supports the `[ioxXc]` conversions. * String elements are bytes. * Non-ASCII strings are encoded using UTF-8. * Strings support hex byte escapes. * Strings have the additional methods `elem_ords`, `codepoint_ords`, and `codepoints`. * The `chr` and `ord` built-in functions are supported. * The `set` built-in function is provided (option: `-set`). * `set & set` and `set | set` compute set intersection and union, respectively. * `assert` is a valid identifier. * `if`, `for`, and `while` are permitted at top level (option: `-globalreassign`). * top-level rebindings are permitted (option: `-globalreassign`).