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.gitattributes

@@ -63,3 +63,31 @@ upload_theme.exe filter=lfs diff=lfs merge=lfs -text
 uvicorn.exe filter=lfs diff=lfs merge=lfs -text
 websockets.exe filter=lfs diff=lfs merge=lfs -text
 whisper.exe filter=lfs diff=lfs merge=lfs -text
+accelerate-config.exe filter=lfs diff=lfs merge=lfs -text
+accelerate-launch.exe filter=lfs diff=lfs merge=lfs -text
+accelerate.exe filter=lfs diff=lfs merge=lfs -text
+chardetect.exe filter=lfs diff=lfs merge=lfs -text
+convert-caffe2-to-onnx.exe filter=lfs diff=lfs merge=lfs -text
+convert-onnx-to-caffe2.exe filter=lfs diff=lfs merge=lfs -text
+datasets-cli.exe filter=lfs diff=lfs merge=lfs -text
+fonttools.exe filter=lfs diff=lfs merge=lfs -text
+futurize.exe filter=lfs diff=lfs merge=lfs -text
+imageio_download_bin.exe filter=lfs diff=lfs merge=lfs -text
+imageio_remove_bin.exe filter=lfs diff=lfs merge=lfs -text
+jsonschema.exe filter=lfs diff=lfs merge=lfs -text
+lsm2bin.exe filter=lfs diff=lfs merge=lfs -text
+markdown_py.exe filter=lfs diff=lfs merge=lfs -text
+nltk.exe filter=lfs diff=lfs merge=lfs -text
+pasteurize.exe filter=lfs diff=lfs merge=lfs -text
+pyftmerge.exe filter=lfs diff=lfs merge=lfs -text
+pyftsubset.exe filter=lfs diff=lfs merge=lfs -text
+skivi.exe filter=lfs diff=lfs merge=lfs -text
+tensorboard.exe filter=lfs diff=lfs merge=lfs -text
+tiff2fsspec.exe filter=lfs diff=lfs merge=lfs -text
+tiffcomment.exe filter=lfs diff=lfs merge=lfs -text
+tifffile.exe filter=lfs diff=lfs merge=lfs -text
+torchrun.exe filter=lfs diff=lfs merge=lfs -text
+transformers-cli.exe filter=lfs diff=lfs merge=lfs -text
+ttx.exe filter=lfs diff=lfs merge=lfs -text
+yapf-diff.exe filter=lfs diff=lfs merge=lfs -text
+yapf.exe filter=lfs diff=lfs merge=lfs -text

accelerate-config.exe

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accelerate-launch.exe

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accelerate.exe

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chardetect.exe

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convert-caffe2-to-onnx.exe

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convert-onnx-to-caffe2.exe

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datasets-cli.exe

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f2py.exe

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fonttools.exe

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futurize.exe

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get_gprof

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+#!U:\sd.webui\webui\venv\Scripts\python.exe
+#
+# Author: Mike McKerns (mmckerns @caltech and @uqfoundation)
+# Copyright (c) 2008-2016 California Institute of Technology.
+# Copyright (c) 2016-2024 The Uncertainty Quantification Foundation.
+# License: 3-clause BSD.  The full license text is available at:
+#  - https://github.com/uqfoundation/dill/blob/master/LICENSE
+'''
+build profile graph for the given instance
+
+running:
+  $ get_gprof <args> <instance>
+
+executes:
+  gprof2dot -f pstats <args> <type>.prof | dot -Tpng -o <type>.call.png
+
+where:
+  <args> are arguments for gprof2dot, such as "-n 5 -e 5"
+  <instance> is code to create the instance to profile
+  <type> is the class of the instance (i.e. type(instance))
+
+For example:
+  $ get_gprof -n 5 -e 1 "import numpy; numpy.array([1,2])"
+
+will create 'ndarray.call.png' with the profile graph for numpy.array([1,2]),
+where '-n 5' eliminates nodes below 5% threshold, similarly '-e 1' eliminates
+edges below 1% threshold
+'''
+
+if __name__ == "__main__":
+    import sys
+    if len(sys.argv) < 2:
+        print ("Please provide an object instance (e.g. 'import math; math.pi')")
+        sys.exit()
+    # grab args for gprof2dot
+    args = sys.argv[1:-1]
+    args = ' '.join(args)
+    # last arg builds the object
+    obj = sys.argv[-1]
+    obj = obj.split(';')
+    # multi-line prep for generating an instance
+    for line in obj[:-1]:
+        exec(line)
+    # one-line generation of an instance
+    try:
+        obj = eval(obj[-1])
+    except Exception:
+        print ("Error processing object instance")
+        sys.exit()
+
+    # get object 'name'
+    objtype = type(obj)
+    name = getattr(objtype, '__name__', getattr(objtype, '__class__', objtype))
+
+    # profile dumping an object
+    import dill
+    import os
+    import cProfile
+    #name = os.path.splitext(os.path.basename(__file__))[0]
+    cProfile.run("dill.dumps(obj)", filename="%s.prof" % name)
+    msg = "gprof2dot -f pstats %s %s.prof | dot -Tpng -o %s.call.png" % (args, name, name)
+    try:
+        res = os.system(msg)
+    except Exception:
+        print ("Please verify install of 'gprof2dot' to view profile graphs")
+    if res:
+        print ("Please verify install of 'gprof2dot' to view profile graphs")
+
+    # get stats
+    f_prof = "%s.prof" % name
+    import pstats
+    stats = pstats.Stats(f_prof, stream=sys.stdout)
+    stats.strip_dirs().sort_stats('cumtime')
+    stats.print_stats(20) #XXX: save to file instead of print top 20?
+    os.remove(f_prof)

get_objgraph

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+#!U:\sd.webui\webui\venv\Scripts\python.exe
+#
+# Author: Mike McKerns (mmckerns @caltech and @uqfoundation)
+# Copyright (c) 2008-2016 California Institute of Technology.
+# Copyright (c) 2016-2024 The Uncertainty Quantification Foundation.
+# License: 3-clause BSD.  The full license text is available at:
+#  - https://github.com/uqfoundation/dill/blob/master/LICENSE
+"""
+display the reference paths for objects in ``dill.types`` or a .pkl file
+
+Notes:
+    the generated image is useful in showing the pointer references in
+    objects that are or can be pickled.  Any object in ``dill.objects``
+    listed in ``dill.load_types(picklable=True, unpicklable=True)`` works.
+
+Examples::
+
+    $ get_objgraph ArrayType
+    Image generated as ArrayType.png
+"""
+
+import dill as pickle
+#pickle.debug.trace(True)
+#import pickle
+
+# get all objects for testing
+from dill import load_types
+load_types(pickleable=True,unpickleable=True)
+from dill import objects
+
+if __name__ == "__main__":
+    import sys
+    if len(sys.argv) != 2:
+        print ("Please provide exactly one file or type name (e.g. 'IntType')")
+        msg = "\n"
+        for objtype in list(objects.keys())[:40]:
+            msg += objtype + ', '
+        print (msg + "...")
+    else:
+        objtype = str(sys.argv[-1])
+        try:
+            obj = objects[objtype]
+        except KeyError:
+            obj = pickle.load(open(objtype,'rb'))
+            import os
+            objtype = os.path.splitext(objtype)[0]
+        try:
+            import objgraph
+            objgraph.show_refs(obj, filename=objtype+'.png')
+        except ImportError:
+            print ("Please install 'objgraph' to view object graphs")
+
+
+# EOF

gradio.exe

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imageio_download_bin.exe

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imageio_remove_bin.exe

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isympy.exe

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jsonschema.exe

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lsm2bin.exe

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markdown_py.exe

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nltk.exe

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pasteurize.exe

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pyftmerge.exe

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pyftsubset.exe

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pygrun

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+#!U:\sd.webui\webui\venv\Scripts\python.exe
+__author__ = 'jszheng'
+import optparse
+import sys
+import os
+import importlib
+from antlr4 import *
+
+
+# this is a python version of TestRig
+def beautify_lisp_string(in_string):
+    indent_size = 3
+    add_indent = ' '*indent_size
+    out_string = in_string[0]  # no indent for 1st (
+    indent = ''
+    for i in range(1, len(in_string)):
+        if in_string[i] == '(' and in_string[i+1] != ' ':
+            indent += add_indent
+            out_string += "\n" + indent + '('
+        elif in_string[i] == ')':
+            out_string += ')'
+            if len(indent) > 0:
+                indent = indent.replace(add_indent, '', 1)
+        else:
+            out_string += in_string[i]
+    return out_string
+
+
+if __name__ == '__main__':
+
+    #############################################################
+    # parse options
+    # not support -gui -encoding -ps
+    #############################################################
+    usage = "Usage: %prog [options] Grammar_Name Start_Rule"
+    parser = optparse.OptionParser(usage=usage)
+    # parser.add_option('-t', '--tree',
+    #                   dest="out_file",
+    #                   default="default.out",
+    #                   help='set output file name',
+    #                   )
+    parser.add_option('-t', '--tree',
+                      default=False,
+                      action='store_true',
+                      help='Print AST tree'
+                      )
+    parser.add_option('-k', '--tokens',
+                      dest="token",
+                      default=False,
+                      action='store_true',
+                      help='Show Tokens'
+                      )
+    parser.add_option('-s', '--sll',
+                      dest="sll",
+                      default=False,
+                      action='store_true',
+                      help='Show SLL'
+                      )
+    parser.add_option('-d', '--diagnostics',
+                      dest="diagnostics",
+                      default=False,
+                      action='store_true',
+                      help='Enable diagnostics error listener'
+                      )
+    parser.add_option('-a', '--trace',
+                      dest="trace",
+                      default=False,
+                      action='store_true',
+                      help='Enable Trace'
+                      )
+
+    options, remainder = parser.parse_args()
+    if len(remainder) < 2:
+        print('ERROR: You have to provide at least 2 arguments!')
+        parser.print_help()
+        exit(1)
+    else:
+        grammar = remainder.pop(0)
+        start_rule = remainder.pop(0)
+        file_list = remainder
+
+    #############################################################
+    # check and load antlr generated files
+    #############################################################
+    # dynamic load the module and class
+    lexerName = grammar + 'Lexer'
+    parserName = grammar + 'Parser'
+    # check if the generate file exist
+    lexer_file = lexerName + '.py'
+    parser_file = parserName + '.py'
+    if not os.path.exists(lexer_file):
+        print("[ERROR] Can't find lexer file {}!".format(lexer_file))
+        print(os.path.realpath('.'))
+        exit(1)
+    if not os.path.exists(parser_file):
+        print("[ERROR] Can't find parser file {}!".format(lexer_file))
+        print(os.path.realpath('.'))
+        exit(1)
+
+    # current directory is where the generated file loaded
+    # the script might be in different place.
+    sys.path.append('.')
+    # print(sys.path)
+
+    # print("Load Lexer {}".format(lexerName))
+    module_lexer = __import__(lexerName, globals(), locals(), lexerName)
+    class_lexer = getattr(module_lexer, lexerName)
+    # print(class_lexer)
+
+    # print("Load Parser {}".format(parserName))
+    module_parser = __import__(parserName, globals(), locals(), parserName)
+    class_parser = getattr(module_parser, parserName)
+    # print(class_parser)
+
+    #############################################################
+    # main process steps.
+    #############################################################
+    def process(input_stream, class_lexer, class_parser):
+        lexer = class_lexer(input_stream)
+        token_stream = CommonTokenStream(lexer)
+        token_stream.fill()
+        if options.token:  # need to show token
+            for tok in token_stream.tokens:
+                print(tok)
+        if start_rule == 'tokens':
+            return
+
+        parser = class_parser(token_stream)
+
+        if options.diagnostics:
+            parser.addErrorListener(DiagnosticErrorListener())
+            parser._interp.predictionMode = PredictionMode.LL_EXACT_AMBIG_DETECTION
+        if options.tree:
+            parser.buildParseTrees = True
+        if options.sll:
+            parser._interp.predictionMode = PredictionMode.SLL
+        #parser.setTokenStream(token_stream)
+        parser.setTrace(options.trace)
+        if hasattr(parser, start_rule):
+            func_start_rule = getattr(parser, start_rule)
+            parser_ret = func_start_rule()
+            if options.tree:
+                lisp_tree_str = parser_ret.toStringTree(recog=parser)
+                print(beautify_lisp_string(lisp_tree_str))
+        else:
+            print("[ERROR] Can't find start rule '{}' in parser '{}'".format(start_rule, parserName))
+
+    #############################################################
+    # use stdin if not provide file as input stream
+    #############################################################
+    if len(file_list) == 0:
+        input_stream = InputStream(sys.stdin.read())
+        process(input_stream, class_lexer, class_parser)
+        exit(0)
+
+    #############################################################
+    # iterate all input file
+    #############################################################
+    for file_name in file_list:
+        if os.path.exists(file_name) and os.path.isfile(file_name):
+            input_stream = FileStream(file_name)
+            process(input_stream, class_lexer, class_parser)
+        else:
+            print("[ERROR] file {} not exist".format(os.path.normpath(file_name)))

skivi.exe

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tensorboard.exe

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tiff2fsspec.exe

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ttx.exe

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undill

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+#!U:\sd.webui\webui\venv\Scripts\python.exe
+#
+# Author: Mike McKerns (mmckerns @caltech and @uqfoundation)
+# Copyright (c) 2008-2016 California Institute of Technology.
+# Copyright (c) 2016-2024 The Uncertainty Quantification Foundation.
+# License: 3-clause BSD.  The full license text is available at:
+#  - https://github.com/uqfoundation/dill/blob/master/LICENSE
+"""
+unpickle the contents of a pickled object file
+
+Examples::
+
+    $ undill hello.pkl
+    ['hello', 'world']
+"""
+
+if __name__ == '__main__':
+    import sys
+    import dill
+    for file in sys.argv[1:]:
+        print (dill.load(open(file,'rb')))
+

upload_theme.exe

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