This type has two possible values, True and False, which are built-in constants in Python and must be capitalized. Internally, Python implements them as integer numbers:Python >>> type(True) <class 'bool'> >>> type(False) <class 'bool'> >>> isinstance(True, int) True >>> ...
dtype == object and isinstance(value, str): table.new_column(k, jmp.DataType.Character) table[k] = l elif dataFrame[k].dtype == 'float64': # numpy.number: table.new_column(k, jmp.DataType.Numeric) table[k] = l elif dataFrame[k].dtype == 'int64': # or 'int32' table.new_...
= cuda.CUresult.CUDA_SUCCESS:raiseRuntimeError("Cuda Error: {}".format(err))elifisinstance(err, cudart.cudaError_t):iferr != cudart.cudaError_t.cudaSuccess:raiseRuntimeError("Cuda Runtime Error: {}".format(err))else:raiseRuntimeError("Unknown error type: {}".format(err))defcuda_call(...
Import) or isinstance(node, ast.ImportFrom): for n in node.names: if n.name in ['os', 'subprocess']: return True except SyntaxError: return True return False # The Flask App @app.route('/run', methods=['POST']) def run_code(): encoded_code = request.json['code'] try: ...
Python classes maintain the same inheritance hierarchy as the native types they represent. That means, for example, that you can use the built-in Python functionsisinstance()andtype()to test whether an object derives from or matches a given class. ...
In cases where we have multiple headers with the same name, only the last header value will be stored. To store all values in multi-valued headers, we can use the following piece of code: ifh_nameinheaders:ifisinstance(headers[h_name],list): ...
(argument.op,ast.Mod):# Old-style formatting, .e.g. '%s' % 'string'query=argument.left.selifisinstance(argument,ast.JoinedStr)andlen(argument.values)>1:# New style f-stringsquery=argument.values[0].selifisinstance(argument,ast.Name)andargument.idinself.variables:# If execute function ...
if isinstance(l[0], list): return flatten(l[0]) + flatten(l[1:]) return l[:1] + flatten(l[1:]) inp = [[[.5,.5,2.,1.],0.,2.5]] flat = flatten(inp) r = np.array(flat) p = r.copy() print(p) r = (p - 1/2) * 2 ...
for k, v in Mat.items(): print("\n\n", k, type(v), v) if isinstance(v, np.ndarray): # Numpy array? print(' --> Numpy array') Output: __header__b'MATLAB 5.0 MAT-file, Platform: PCWIN64, Created on: Tue Feb 2 12:32:06 2021' ...
python\pydanticbug\.venv313\Lib\site-packages\pydantic\_internal\_utils.py", line 75, in lenient_issubclass return isinstance(cls, type) and issubclass(cls, class_or_tuple) ^^^ File "C:\Users\Tibi\AppData\Local\Programs\Python\Python313\Lib\typing.py", line 479, in __subclasscheck__ ...