python-xdis | Python cross-version bytecode library and disassembler | Bytecode library
kandi X-RAY | python-xdis Summary
kandi X-RAY | python-xdis Summary
Python cross-version bytecode library and disassembler
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Top functions reviewed by kandi - BETA
- Return a code object
- Convert code types into a CodeTypeUnion
- Convert a magic number to a tuple
- Convert a code type into a Portable object
- Loads code
- Read a signed integer
- Load data from the stream
- Disassemble a file
- Check if path is a python source file
- Discovers a code
- Check stack effect
- Return opcode module based on version information
- Get the mapping of jump targets to the given opcode
- Return a native Python code type
- Dump code object
- Checks if path is a python source file
- Return the opcode module for the given version
- Freeze the object
- Modify opcode
- Convert to native Python code type
- Remove an op
- Convert a code type to a Portable object
- Load code
- Populate self lines
- Format a call function
- Format a CALL_METHOD_Kw into a string
- Format a CALL_FUNCTION_K
- Format a CALL_METHOD instruction
python-xdis Key Features
python-xdis Examples and Code Snippets
Community Discussions
Trending Discussions on python-xdis
QUESTION
I'm using tavern to make multiple similar request to a web server, but in the same stage of different tests (ie different YAML files). Each web request takes a long time, so I've split up my overall testing into different test files so that I can use python-xdist
to run the tests in parallel. This means I gain nothing by combining all tests as separate stages of the same test.
It seems I can reuse a complete JSON body stored in a JSON or YAML file using !include
(see Directly including test data). However, I want to reuse a partial JSON body and then add/override just the parameters that differ for each test (see Reusing requests and YAML fragments")
For example, a test file looks like this:
Option 1: intermediate variables for includes ...ANSWER
Answered 2021-Nov-30 at 12:18That is not possible.
<<
is an optional extension to YAML defined here. It says that
[…] If the value associated with the key is a single mapping node, each of its key/value pairs is inserted into the current mapping, unless the key already exists in it. If the value associated with the merge key is a sequence, then this sequence is expected to contain mapping nodes and each of these nodes is merged in turn according to its order in the sequence. […]
No matter whether you give your !include
as an alias or directly, the YAML semantic is always that your <<
key is associated with a scalar which happens to have the tag !include
. The merge key does not define what to do if the associated value is a scalar, hence the error.
User-defined tags like !include
(user meaning Tavern here) are processed after merging. They are implemented with custom constructors that take a YAML value as input (here, the scalar components/request.yaml
) and return a native data structure (like for example, a dict
for mappings, a list
for sequences, and for scalars typically strings, numbers or booleans depending on the scalar's content). In the case of !include
, the loaded data from the referenced file is likely to be returned (I don't know about the gory details).
The important part is that with custom constructors, we're leaving YAML structures (mappings, sequences and scalars) and therefore cannot process the result with a semantic like !!merge
that is defined on YAML structures.
The only way to overcome this is if Tavern implemented its own !merge
semantics that would work on the readily loaded data instead of the YAML structure. Since it doesn't, you're out of luck here.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install python-xdis
You can use python-xdis like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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