uncurl | A library to convert curl requests to python-requests | Command Line Interface library
kandi X-RAY | uncurl Summary
kandi X-RAY | uncurl Summary
A library to convert curl requests to python-requests.
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Top functions reviewed by kandi - BETA
- Parse curl command .
- Parse curl command .
- Process clipboard .
- Convert a dictionary to a pretty string .
- Normalize newlines .
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uncurl Examples and Code Snippets
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Trending Discussions on uncurl
QUESTION
Let me start with an example. Consider the following list in python
...ANSWER
Answered 2021-Oct-05 at 15:38If you can create the possible matching strings before running the algorithm, pyahocorasick would be a perfect solution for your use-case since it precomputes a trie with all the cities you're trying to match.
The downside is you'd need to provide the variations / possible character mismatch patterns.
For your naive Algorithm 1, I'd recommend only returning subphrases of size up to M where M is the longest token in the list of strings you have. (There's no point trying to match a 10 word subsentence with string which are only up to 3 words long for example). This should at least help speed things up.
QUESTION
curl --location --request POST 'https://search-stagapi.example.com/search-new/search/v1/search/lambda' \
--header 'Content-Type: application/json' \
--header 'Content-Type: application/json' \
--data-raw '{
"sort":null,
"per_page":12,
"scroll_id":null,
"session_id":null,
"q":"diapers",
"shingle_active":false,
"location":"110005",
"types":["allopathy","brand","sku","udp"],
"country":"",
"is_query_suggestion_applicable":false,
"debug":false,
"filters":null,
"facets":[{"field":"sku.brand.raw","name":"brand","type":"facet","range":null},{"field":"product_form","name":"product_form","type":"facet","range":null},{"field":"rx_required","name":"rx_required","type":"facet","range":null},{"field":"uses","name":"uses","type":"facet","range":null},{"field":"age","name":"age","type":"facet","range":null},{"field":"recommended","name":"recommended","type":"facet","range":null}],
"source_fields":["count"],
"query_filters":null,
"is_all":true
}'
...ANSWER
Answered 2020-Apr-11 at 07:16You can do something like this:
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Install uncurl
You can use uncurl 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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