Rust 程序设计语言 简体中文版 1.85.01.0 (file:///projects/hello_cargo) Finished dev [unoptimized + debuginfo] target(s) in 2.85 secs 这个命令会创建一个可执行文件 target/debug/hello_cargo (在 Windows 上是 targetdebughello_cargo.exe),而不是放在目前目录下。由于默认的构建方法是调试构建 建方法是调试构建 (debug build),Cargo 会将可执行文件放在名为 debug 的目录中。可以通过这个命令运行可 执行文件: $ ./target/debug/hello_cargo # 或者在 Windows 下为 .\target\debug\hello_cargo.exe Hello, world! 19/562Rust 程序设计语言 简体中文版 如果一切顺利,终端上应该会打印出 build 构建了项目,并使用 ./target/debug/hello_cargo 运行了程序,也 可以使用 cargo run 在一个命令中同时编译并运行生成的可执行文件: $ cargo run Finished dev [unoptimized + debuginfo] target(s) in 0.0 secs Running `target/debug/hello_cargo`0 码力 | 562 页 | 3.23 MB | 1 月前3
Tornado 6.5 Documentation(because the browser will display certificate mismatch warnings that block automated access to the target site). 6.1. User’s guide 35Tornado Documentation, Release 6.5.1 Applications that cannot use TLS arguments of Rule constructor: (matcher, target, [target_kwargs], [name]), the values in square brackets being optional. The default matcher is PathMatches, so (regexp, target) tuples can also be used instead instead of (PathMatches(regexp), target). A common routing target is a RequestHandler subclass, but you can also use lists of rules as a target, which create a nested routing configuration: application = web0 码力 | 272 页 | 1.12 MB | 3 月前3
Tornado 6.5 Documentation(because the browser will display certificate mismatch warnings that block automated access to the target site). Applications that cannot use TLS and rely on network-level access controls (for example, ReversibleRouter.reverse_url() RuleRouter RuleRouter.add_rules() RuleRouter.process_rule() RuleRouter.get_target_delegate() ReversibleRuleRouter Rule Matcher Matcher.match() Matcher.reverse() AnyMatches HostMatches arguments of Rule constructor: (matcher, target, [target_kwargs], [name]), the values in square brackets being optional. The default matcher is PathMatches, so (regexp, target) tuples can also be used instead0 码力 | 437 页 | 405.14 KB | 3 月前3
Julia 1.11.4manner: julia> 1 1 julia> 1234 1234 The default type for an integer literal depends on whether the target system has a 32-bit architecture or a 64-bit architecture: # 32-bit system: julia> typeof(1) system: julia> typeof(1) Int64 The Julia internal variable Sys.WORD_SIZE indicates whether the target system is 32-bit or 64-bit: # 32-bit system: julia> Sys.WORD_SIZE 32 # 64-bit system: julia> the ability to run Julia code natively on GPUs. There is a rich ecosys- tem of Julia packages that target GPUs. The JuliaGPU.org website provides a list of capabilities, supported GPUs, related packages0 码力 | 2007 页 | 6.73 MB | 3 月前3
Julia 1.11.5 Documentationmanner: julia> 1 1 julia> 1234 1234 The default type for an integer literal depends on whether the target system has a 32-bit architecture or a 64-bit architecture: # 32-bit system: julia> typeof(1) system: julia> typeof(1) Int64 The Julia internal variable Sys.WORD_SIZE indicates whether the target system is 32-bit or 64-bit: # 32-bit system: julia> Sys.WORD_SIZE 32 # 64-bit system: julia> the ability to run Julia code natively on GPUs. There is a rich ecosys- tem of Julia packages that target GPUs. The JuliaGPU.org website provides a list of capabilities, supported GPUs, related packages0 码力 | 2007 页 | 6.73 MB | 3 月前3
Julia 1.11.6 Release Notesmanner: julia> 1 1 julia> 1234 1234 The default type for an integer literal depends on whether the target system has a 32-bit architecture or a 64-bit architecture: # 32-bit system: julia> typeof(1) system: julia> typeof(1) Int64 The Julia internal variable Sys.WORD_SIZE indicates whether the target system is 32-bit or 64-bit: # 32-bit system: julia> Sys.WORD_SIZE 32 # 64-bit system: julia> the ability to run Julia code natively on GPUs. There is a rich ecosys- tem of Julia packages that target GPUs. The JuliaGPU.org website provides a list of capabilities, supported GPUs, related packages0 码力 | 2007 页 | 6.73 MB | 3 月前3
julia 1.13.0 DEVmanner: julia> 1 1 julia> 1234 1234 The default type for an integer literal depends on whether the target system has a 32-bit architecture or a 64-bit architecture: # 32-bit system: julia> typeof(1) system: julia> typeof(1) Int64 The Julia internal variable Sys.WORD_SIZE indicates whether the target system is 32-bit or 64-bit: # 32-bit system: julia> Sys.WORD_SIZE 32 # 64-bit system: julia> the ability to run Julia code natively on GPUs. There is a rich ecosys- tem of Julia packages that target GPUs. The JuliaGPU.org website provides a list of capabilities, supported GPUs, related packages0 码力 | 2058 页 | 7.45 MB | 3 月前3
Julia 1.12.0 RC1manner: julia> 1 1 julia> 1234 1234 The default type for an integer literal depends on whether the target system has a 32-bit architecture or a 64-bit architecture: # 32-bit system: julia> typeof(1) system: julia> typeof(1) Int64 The Julia internal variable Sys.WORD_SIZE indicates whether the target system is 32-bit or 64-bit: # 32-bit system: julia> Sys.WORD_SIZE 32 # 64-bit system: julia> the ability to run Julia code natively on GPUs. There is a rich ecosys- tem of Julia packages that target GPUs. The JuliaGPU.org website provides a list of capabilities, supported GPUs, related packages0 码力 | 2057 页 | 7.44 MB | 3 月前3
Julia 1.12.0 Beta4manner: julia> 1 1 julia> 1234 1234 The default type for an integer literal depends on whether the target system has a 32-bit architecture or a 64-bit architecture: # 32-bit system: julia> typeof(1) system: julia> typeof(1) Int64 The Julia internal variable Sys.WORD_SIZE indicates whether the target system is 32-bit or 64-bit: # 32-bit system: julia> Sys.WORD_SIZE 32 # 64-bit system: julia> the ability to run Julia code natively on GPUs. There is a rich ecosys- tem of Julia packages that target GPUs. The JuliaGPU.org website provides a list of capabilities, supported GPUs, related packages0 码力 | 2057 页 | 7.44 MB | 3 月前3
Julia 1.12.0 Beta3manner: julia> 1 1 julia> 1234 1234 The default type for an integer literal depends on whether the target system has a 32-bit architecture or a 64-bit architecture: # 32-bit system: julia> typeof(1) system: julia> typeof(1) Int64 The Julia internal variable Sys.WORD_SIZE indicates whether the target system is 32-bit or 64-bit: # 32-bit system: julia> Sys.WORD_SIZE 32 # 64-bit system: julia> the ability to run Julia code natively on GPUs. There is a rich ecosys- tem of Julia packages that target GPUs. The JuliaGPU.org website provides a list of capabilities, supported GPUs, related packages0 码力 | 2057 页 | 7.44 MB | 3 月前3
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