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Browse files- __pycache__/gradify.cpython-310.pyc +0 -0
- demo.yaml +15 -23
- gradify.py +4 -8
- requirements.txt +1 -1
__pycache__/gradify.cpython-310.pyc
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demo.yaml
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lite_metadata:
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gradio_version: 3.32.0
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class_string: gradio.interface.Interface
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kwargs:
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title:
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description: Given a string s, find the length of the longest substring without
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repeating characters
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article: null
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css: null
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allow_flagging: never
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inputs:
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kwargs:
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label: s
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outputs:
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label: output
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precision: 0
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fn:
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class_string: gradify.gradify_closure
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kwargs:
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argmaps:
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- label: s
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postprocessing: null
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func_kwargs: {}
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\ max_len = 0\n for end in range(len(s)):\n if s[end] in\
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\ seen:\n start = max(start, seen[s[end]] + 1)\n seen[s[end]]\
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\ = end\n max_len = max(max_len, end - start + 1)\n return max_len\n"
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lite_metadata:
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gradio_version: 3.32.0
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liteobj_version: 0.0.7
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class_string: gradio.interface.Interface
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kwargs:
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title: gitio max substring
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description: Given a string s, find the length of the longest substring without
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repeating characters
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article: null
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css: null
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allow_flagging: never
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inputs:
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- class_string: gradio.components.Textbox
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kwargs:
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label: s
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outputs:
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- class_string: gradio.components.Number
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kwargs:
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label: output
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precision: 0
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fn:
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class_string: gradify.gradify_closure
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kwargs:
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argmaps:
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- label: s
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postprocessing: null
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func_kwargs: {}
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source: "def lengthOfLongestSubstring(s):\n seen = {}\n start = 0\n \
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\ max_len = 0\n for end in range(len(s)):\n if s[end] in seen:\n\
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\ start = max(start, seen[s[end]] + 1)\n seen[s[end]] =\
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\ end\n max_len = max(max_len, end - start + 1)\n return max_len\n"
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gradify.py
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def gradify_closure(
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from types import FunctionType
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for k, v in ldict.items():
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if isinstance(v, FunctionType):
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raise gr.Error(f"Error: {e}")
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return gradify_func
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def exec_to_dict(source, target=None):
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ldict = {}
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exec(source, globals(), ldict)
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return ldict.get(target, None) if target else ldict
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def gradify_closure(source, argmaps, func_kwargs={}):
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ldict = {}
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exec(source, globals(), ldict)
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from types import FunctionType
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for k, v in ldict.items():
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if isinstance(v, FunctionType):
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raise gr.Error(f"Error: {e}")
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return gradify_func
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requirements.txt
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gradio==3.32
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liteobj==0.0.
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gradio==3.32
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liteobj==0.0.7
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