yuanwen135 solc-ast – 硬脂酸盐区块链毕设代写
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solc-ast
A tool for exploring the Solidity abstrax syntrax tree as generated by the solc compiler.
Installation
You can install the latest release via pip:
$ pip install py-solc-ast
Or clone the repo and use setuptools:
$ python setup.py install
Usage
First, use py-solc-x to compile your contracts to the standard JSON output format.
>>> import json >>> import solcx >>> input_json = json.load(open('input.json')) >>> output_json = solcx.compile_standard(input_json)
Next, import solcast and initialize using from_standard_output_json or from_standard_output. This returns a list of SourceUnit objects, which each represent the base AST node in a Solidity source file.
>>> import solcast >>> nodes = solcast.from_standard_output(output_json) >>> nodes [<SourceUnit iterable 'contracts/Token.sol'>, <SourceUnit iterable 'contracts/SafeMath.sol'>]
You can also generate a single SourceUnit directly from that source’s AST:
>>> import solcast >>> node = solcast.from_ast(output_json["sources"]["contracts/Token.sol"]["ast"]) >>> node <SourceUnit iterable 'contracts/Token.sol'>
Interacting with Nodes
Each node has the following attributes:
>>> node <FunctionDefinition iterable 'mul'> >>> node.depth # Number of nodes between this node and the SourceUnit 2 >>> node.offset # Absolute source offsets as a (start, stop) tuple (1693, 2151) >>> node.contract_id # Contract ID as given by the standard compiler JSON 2 >>> node.fields # List of fields for this node ['baseNodeType', 'documentation', 'id', 'implemented', 'kind', 'modifiers', 'name', 'nodeType', 'nodes', 'parameters', 'returnParameters', 'scope', 'src', 'stateMutability', 'superFunction', 'visibility']
Fields mostly follow the expected AST grammar. One notable difference: Block nodes are omitted and the body of each Block is available within it’s parent as the attribute nodes. Nodes containing a body are iterable and can be accessed with list-like syntax. Additionally, any child node with a name field is accessible using dict-like syntax.
The following additional fields are also available:
- Most nodes have a
baseNodeTypefield as defined in grammar.py ContractDefinitionnodes havedependenciesandlibrariesfields that point to relatedContractDefitionnodes
Some Examples:
>>> source_node <SourceUnit iterable 'contracts/math/SafeMath.sol'> >>> source_node.keys() ['absolutePath', 'children', 'contract_id', 'depth', 'exportedSymbols', 'id', 'is_child_of', 'is_parent_of', 'keys', 'nodeType', 'nodes', 'offset', 'parent', 'parents', 'src'] >>> source_node.nodes [<PragmaDirective object>, <ContractDefinition iterable 'SafeMath'>] >>> source_node[1] <ContractDefinition iterable 'SafeMath'> >>> source_node['SafeMath'] <ContractDefinition iterable 'SafeMath'> >>> source_node['SafeMath'].keys() ['baseContracts', 'children', 'contractDependencies', 'contractKind', 'contract_id', 'dependencies', 'depth', 'documentation', 'fullyImplemented', 'id', 'is_child_of', 'is_parent_of', 'keys', 'libraries', 'linearizedBaseContracts', 'name', 'nodeType', 'nodes', 'offset', 'parent', 'parents', 'scope', 'src'] >>> source_node['SafeMath'].nodes [<FunctionDefinition iterable 'add'>, <FunctionDefinition iterable 'sub'>, <FunctionDefinition iterable 'mul'>, <FunctionDefinition iterable 'div'>, <FunctionDefinition iterable 'mod'>] >>> source_node['SafeMath']['mul'] <FunctionDefinition iterable 'mul'> >>> source_node['SafeMath']['mul'] [<IfStatement object>, <VariableDeclarationStatement object>, <FunctionCall object>, <Return object>]
Exploring the Tree
The Node.children() method is used to search and filter through child nodes of a given node. It takes any of the following keyword arguments:
depth: Number of levels of children to traverse.0returns only this node.include_self: Includes this node in the results.include_parents: Includes nodes that match in the results, when they also have child nodes that match.include_children: If True, as soon as a match is found it’s children will not be included in the search.required_offset: Only match nodes with a source offset that contains this offset.offset_limits: Only match nodes when their source offset is contained inside this source offset.filters: Dictionary of{'attribute': "value"}that children must match. Can also be given as a list of dicts, children that match any of the dicts will be returned.exclude_filter: Dictionary of{'attribute': "value"}that children cannot match.
>>> node = s['Token']['transfer'] >>> node.children( include_children=False, filters={'nodeType': "FunctionCall", "expression.name": "require"} ) [<FunctionCall>]
Node.parent() and Node.parents() are used to travel back up the tree. They take the following arguments:
depth: Depth limit. If given as a negative value, it will be subtracted from this object’s depth.filters: Dictionary of{'attribute': "value"}that parents must match.
Node.parent() returns one result, Node.parents() returns a list of matches.
>>> node.parents() [<ContractDefinition iterable 'Token'>, <SourceUnit iterable object 'contracts/Token.sol'>]
Tests
To run the test suite:
$ tox
Development
Comments, questions, criticisms and pull requests are welcomed! Feel free to open an issue if you encounter a problem or would like to suggest a new feature.
License
This project is licensed under the MIT license.
solc ast
一种工具，用于探索solc编译器生成的稳固的abstrax syntrax树。
您可以通过pip安装最新版本：
安装
或克隆repo并使用setuptools:
$ pip install py-solc-ast
首先，使用py-solc-x将合同编译为标准的JSON输出格式。
$ python setup.py install
用法
接下来，使用from u standard u output u json或from u standard u output导入solcast并初始化。这将返回SourceUnit对象的列表，每个对象表示Solidity源文件中的基本AST节点。
>>> import json >>> import solcx >>> input_json = json.load(open('input.json')) >>> output_json = solcx.compile_standard(input_json)
您还可以直接从该源的AST生成单个SourceUnit:
>>> import solcast >>> nodes = solcast.from_standard_output(output_json) >>> nodes [<SourceUnit iterable 'contracts/Token.sol'>, <SourceUnit iterable 'contracts/SafeMath.sol'>]
每个节点都有以下属性：
>>> import solcast >>> node = solcast.from_ast(output_json["sources"]["contracts/Token.sol"]["ast"]) >>> node <SourceUnit iterable 'contracts/Token.sol'>
与节点交互
字段主要遵循预期的AST语法。一个显著的区别是：省略了块节点，每个块的主体在其父块中可用作属性节点。包含主体的节点是iterable的，可以使用类似列表的语法进行访问。此外，任何具有名称字段的子节点都可以使用类似dict的语法进行访问。
>>> node <FunctionDefinition iterable 'mul'> >>> node.depth # Number of nodes between this node and the SourceUnit 2 >>> node.offset # Absolute source offsets as a (start, stop) tuple (1693, 2151) >>> node.contract_id # Contract ID as given by the standard compiler JSON 2 >>> node.fields # List of fields for this node ['baseNodeType', 'documentation', 'id', 'implemented', 'kind', 'modifiers', 'name', 'nodeType', 'nodes', 'parameters', 'returnParameters', 'scope', 'src', 'stateMutability', 'superFunction', 'visibility']
以下附加字段也可用：
一些示例：
- 大多数节点都具有中定义的baseNodeType字段语法.py
- ContractDefinition节点具有指向相关的ContractDefinition节点
节点.子节点（）方法用于搜索和筛选给定节点的子节点。它接受以下任何关键字参数：
>>> source_node <SourceUnit iterable 'contracts/math/SafeMath.sol'> >>> source_node.keys() ['absolutePath', 'children', 'contract_id', 'depth', 'exportedSymbols', 'id', 'is_child_of', 'is_parent_of', 'keys', 'nodeType', 'nodes', 'offset', 'parent', 'parents', 'src'] >>> source_node.nodes [<PragmaDirective object>, <ContractDefinition iterable 'SafeMath'>] >>> source_node[1] <ContractDefinition iterable 'SafeMath'> >>> source_node['SafeMath'] <ContractDefinition iterable 'SafeMath'> >>> source_node['SafeMath'].keys() ['baseContracts', 'children', 'contractDependencies', 'contractKind', 'contract_id', 'dependencies', 'depth', 'documentation', 'fullyImplemented', 'id', 'is_child_of', 'is_parent_of', 'keys', 'libraries', 'linearizedBaseContracts', 'name', 'nodeType', 'nodes', 'offset', 'parent', 'parents', 'scope', 'src'] >>> source_node['SafeMath'].nodes [<FunctionDefinition iterable 'add'>, <FunctionDefinition iterable 'sub'>, <FunctionDefinition iterable 'mul'>, <FunctionDefinition iterable 'div'>, <FunctionDefinition iterable 'mod'>] >>> source_node['SafeMath']['mul'] <FunctionDefinition iterable 'mul'> >>> source_node['SafeMath']['mul'] [<IfStatement object>, <VariableDeclarationStatement object>, <FunctionCall object>, <Return object>]
探索树
节点.父级（）和节点.父节点（）用于返回树上。它们采用以下参数：
- 深度：要遍历的子级的级别数。0仅返回此节点。
- 包含自身：在结果中包含此节点。
- 包含父节点：包含结果中匹配的节点，同时这些节点还有匹配的子节点。
- 包含子项：如果为True，则一旦找到匹配项，其子项将不包含在搜索中。
- 必需的u偏移：仅匹配具有包含此偏移的源偏移的节点。
- 偏移量限制：仅当节点的源偏移量包含在此源偏移量内时才匹配节点。
- 筛选器：子级必须匹配的{attribute’：“value”}字典。也可以作为dict列表给出，匹配任何dict的子级都将被返回。
- 排除子级无法匹配的{attribute’：“value”}字典。
>>> node = s['Token']['transfer'] >>> node.children( include_children=False, filters={'nodeType': "FunctionCall", "expression.name": "require"} ) [<FunctionCall>]
节点.父级（）返回一个结果，节点.父节点（）返回匹配项列表。
- 深度：深度限制。如果给定为负值，它将从该对象的深度中减去。
- 筛选器：父级必须匹配的{attribute’：“value”}字典。你知道吗
要运行测试套件：
>>> node.parents() [<ContractDefinition iterable 'Token'>, <SourceUnit iterable object 'contracts/Token.sol'>]
测试
欢迎评论、问题、批评和请求！如果您遇到问题或想建议新功能，请随时打开一个问题。
$ tox
开发
这个项目是根据麻省理工学院的许可证授权的。
许可证
This project is licensed under the MIT license.
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