matches("somena", "someName")
        matches("somena", "SomeName")
        matches("somena", "SomeName")
        matches("some na", "Some Name")
    }

    def "selects item with matching camel case prefix"() {
        expect:
        matches("sN", "someName")
        matches("soN", "someName")
        matches("SN", "someName")
        matches("SN", "SomeName")
        matches("SN", "SomeNameWithExtraStuff")

// the coverage processing has changed the line numbers, so we can't use runtime.Caller.

package main

import _ "unsafe" // for go:linkname

//go:linkname some_name some_name
var some_name int

const anything = 1e9 // Just some unlikely value that means "we got here, don't care how often"

func testAll() {
	testSimple()
	testBlockRun()
	testIf()
	testFor()
	testRange()

Mengjiao Liu <******@****.***> 1693972533 +0800

        where:
        input << [
                '#someName(SomeClass,Object)',
                '#someName(SomeClass, Object)',
                '#someName(SomeClass,\tObject)',
                '#someName  (  \t SomeClass ,\tObject\t ) '
        ]
    }

    def convertsMethodSignatureWithNoParamsToLink() {
        MethodMetaData method = method('someName', signature: 'someName()')

feed {
  id { node_name: "x_const" }
  shape {
    dim { size: 1 }
  }
}
feed {
  id { node_name: "y_const" }
  shape {
    dim { size: 1 }
  }
}
feed {
  id { node_name: "z" output_index: 1}
  shape {
    dim { size: 1 }
  }
  type: DT_INT32
}
fetch {
  id { node_name: "x_y_sum" }
}
fetch {
  id { node_name: "x_z_sum" }

# Text form of tensorflow.tf2xla.Config proto.
feed {
  id { node_name: "p_hold" }
  shape {}
}
feed {
  id { node_name: "x_hold" }
  shape {
    dim { size: 1 }
  }
}
feed {
  id { node_name: "y_hold" }
  shape {
    dim { size: 1 }
  }
}
fetch {
  id { node_name: "result" }

# Text form of tensorflow.tf2xla.Config proto.
feed {
  id { node_name: "x_const" }
  shape {
    dim { size: 1 }
  }
}
feed {
  id { node_name: "y_const" }
  shape {
    dim { size: 1 }
  }
}
feed {
  id { node_name: "z_identity"}
  shape {
    dim { size: 1 }
  }
}
fetch {
  id { node_name: "x_y_sum" }
}
fetch {
  id { node_name: "x_z_sum" }

# Text form of tensorflow.tf2xla.Config proto.
feed {
  id { node_name: "x_const" }
  shape {
    dim { size: 1 }
  }
}
feed {
  id { node_name: "y_const" }
  shape {
    dim { size: 1 }
  }
}
fetch {
  id { node_name: "func_call" }

# Text form of tensorflow.tf2xla.Config proto.
feed {
  id { node_name: "x_hold" }
  shape {
    dim { size: <M> }
    dim { size: <K> }
  }
}
feed {
  id { node_name: "y_hold" }
  shape {
    dim { size: <K> }
    dim { size: <N> }
  }
}
fetch {
  id { node_name: "x_y_prod" }

# Text form of tensorflow.tf2xla.Config proto.
feed {
  id { node_name: "x_hold" }
  shape {
    dim { size: 2 }
    dim { size: 2 }
  }
  name: "x"
}
feed {
  id { node_name: "y_hold" }
  shape {
    dim { size: 2 }
    dim { size: 2 }
  }
  name: "y"
}
fetch {
  id { node_name: "x_y_prod" }
  name: "x_y_prod"
}
fetch {
  id { node_name: "x_y_sum" }
  name: "x_y_sum"