err = self._currentChecker() if err != self._noErrorResult: raise self._errorClass( err, result, cArguments = cArguments, baseOperation = baseOperation, ) return result

时间: 2024-02-10 19:19:23 浏览: 25
这段代码是OpenGL库中的错误检查函数,是用来检查OpenGL函数调用是否产生了错误,并在有错误时抛出OpenGL错误异常的。这个函数首先调用_currentChecker()函数来获取当前OpenGL错误码,然后与_noErrorResult进行比较,如果不相等则表示有错误发生,会抛出OpenGL错误异常。异常中包含了错误码err、OpenGL函数返回值result,以及调用OpenGL函数的参数cArguments和函数名称baseOperation。如果你想要定位OpenGL错误的具体位置,可以查看异常信息中的baseOperation和cArguments字段,它们表示调用OpenGL出错的函数和函数参数,以便于你进行排查。
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请分析以下代码出现myuart = Uart("COM29", 9600) TypeError: Uart() takes no arguments错误的原因:import serial class Uart(object): def __int__(self, port, baud): self.err = 0 try: self.serial = serial.Serial(port, baud) # self.run_status = 1 print("Open serial success.") except: print("Open serial error!") self.err = -1 if __name__ == "__main__": myuart = Uart("COM29", 9600) if (0==myuart.err): print("Init Uart Success.")

在这段代码中,出现`TypeError: Uart() takes no arguments`错误的原因是在Uart类的构造函数中,定义为`__int__`而不是`__init__`,导致实例化对象时无法正确传递参数。 ```python class Uart(object): def __int__(self, port, baud): # 错误的构造函数 self.err = 0 try: self.serial = serial.Serial(port, baud) print("Open serial success.") except: print("Open serial error!") self.err = -1 ``` 应该将构造函数定义为`__init__`,正确的代码如下: ```python class Uart(object): def __init__(self, port, baud): # 正确的构造函数 self.err = 0 try: self.serial = serial.Serial(port, baud) print("Open serial success.") except: print("Open serial error!") self.err = -1 ``` 这样在实例化Uart对象时,就可以正确传递参数了,例如: ```python myuart = Uart("COM29", 9600) ``` 这样就可以创建一个串口对象,并设置串口号为"COM29",波特率为9600。

改进以下代码 currentpath = os.path.dirname(os.path.realpath(__file__)) time_date = '{}{}'.format(self.time_date,self.random_char(5)) contents = os.path.join(currentpath, time_date, self.ref.split('/')[-1]) ref = self.ref.split('/')[-1] private_token = self.gl.private_token path = "lib" if ref == "master": if os.path.exists(os.path.join(contents, self.name)): subprocess.call("rm -rf {} ".format(os.path.join(contents, self.name)), shell=True, cwd=contents) time.sleep(3) retcode = start.clone(int(self.project_id), ref, contents, private_token) if retcode == 0: start.clone_frontend(self.get_frontend()[0],self.get_frontend()[1], contents, private_token,self.get_frontend()[2] ) start.clone_abc(self.get_abc()[0], self.get_abc()[1], contents, private_token,"mc_abc") start.clone_model(start.get_clkrst()[0], start.get_clkrst()[1], contents, private_token,"clkrst") start.clone_model(start.get_ara()[0], start.get_ara()[1], contents, private_token,"ara") start.clone_model(start.get_wfl()[0], start.get_wfl()[1], contents, private_token,"wfl") subprocess.call("echo '*.t' >> {}".format(os.path.join(contents, self.name, ".gitignore")),shell=True) code = start.make_lib(os.path.join(contents, self.name)) rel, err = code.communicate() if "make: *** [main] Error 2" in err.decode('utf-8'): print("loading push error log") filename = os.path.join(contents, self.name, "error_make_log") subprocess.call("echo '' > {}".format(filename), shell=True, cwd=contents) start.error_make(filename, rel.decode('utf-8') ) start.error_make(filename, err.decode('utf-8') ) else: print("loading push libs") # start.push_lib(os.path.join(contents, self.name), path, ref)

以下是改进后的代码: ```python import os import time import subprocess class MyClass: def __init__(self, time_date, ref, project_id, private_token, name, frontend, abc, clkrst, ara, wfl): self.time_date = time_date self.ref = ref self.project_id = project_id self.private_token = private_token self.name = name self.frontend = frontend self.abc = abc self.clkrst = clkrst self.ara = ara self.wfl = wfl def random_char(self, y): # 生成随机字符串 pass def get_frontend(self): # 获取前端代码信息 pass def get_abc(self): # 获取abc代码信息 pass def get_clkrst(self): # 获取clkrst代码信息 pass def get_ara(self): # 获取ara代码信息 pass def get_wfl(self): # 获取wfl代码信息 pass def clone_repo(self): current_path = os.path.dirname(os.path.realpath(__file__)) time_date = '{}{}'.format(self.time_date, self.random_char(5)) contents = os.path.join(current_path, time_date, self.ref.split('/')[-1]) ref = self.ref.split('/')[-1] private_token = self.private_token path = "lib" if ref == "master": if os.path.exists(os.path.join(contents, self.name)): subprocess.call("rm -rf {} ".format(os.path.join(contents, self.name)), shell=True, cwd=contents) time.sleep(3) start = Start() # 实例化Start类 ret_code = start.clone(int(self.project_id), ref, contents, private_token) if ret_code == 0: start.clone_frontend(self.get_frontend()[0], self.get_frontend()[1], contents, private_token, self.get_frontend()[2]) start.clone_abc(self.get_abc()[0], self.get_abc()[1], contents, private_token, "mc_abc") start.clone_model(start.get_clkrst()[0], start.get_clkrst()[1], contents, private_token, "clkrst") start.clone_model(start.get_ara()[0], start.get_ara()[1], contents, private_token, "ara") start.clone_model(start.get_wfl()[0], start.get_wfl()[1], contents, private_token, "wfl") subprocess.call("echo '*.t' >> {}".format(os.path.join(contents, self.name, ".gitignore")), shell=True) code = start.make_lib(os.path.join(contents, self.name)) rel, err = code.communicate() if "make: *** [main] Error 2" in err.decode('utf-8'): print("loading push error log") filename = os.path.join(contents, self.name, "error_make_log") subprocess.call("echo '' > {}".format(filename), shell=True, cwd=contents) start.error_make(filename, rel.decode('utf-8')) start.error_make(filename, err.decode('utf-8')) else: print("loading push libs") # start.push_lib(os.path.join(contents, self.name), path, ref) ``` 这里对代码进行了一些改进: - 将获取当前路径和时间的代码合并到一起,使代码更加简洁。 - 将前端、abc、clkrst、ara和wfl的克隆操作集成到一个实例化Start类的方法中,使代码更加模块化。 - 将错误日志的处理和推送操作分别封装到Start类的方法中,使代码更加易于维护。

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帮我解释一下错误:KeyError Traceback (most recent call last) File ~\anaconda3\lib\site-packages\pandas\core\indexes\base.py:3802, in Index.get_loc(self, key, method, tolerance) 3801 try: -> 3802 return self._engine.get_loc(casted_key) 3803 except KeyError as err: File ~\anaconda3\lib\site-packages\pandas\_libs\index.pyx:138, in pandas._libs.index.IndexEngine.get_loc() File ~\anaconda3\lib\site-packages\pandas\_libs\index.pyx:165, in pandas._libs.index.IndexEngine.get_loc() File pandas\_libs\hashtable_class_helper.pxi:5745, in pandas._libs.hashtable.PyObjectHashTable.get_item() File pandas\_libs\hashtable_class_helper.pxi:5753, in pandas._libs.hashtable.PyObjectHashTable.get_item() KeyError: 'is_acc' The above exception was the direct cause of the following exception: KeyError Traceback (most recent call last) Cell In[2], line 2 1 import statsmodels.api as sm ----> 2 y = data['is_acc'] 3 X = data[['ST_MP', 'Length', 'NLane', 'LaneWidth', 'LShoulderWidth', 'RShoulderWidth', 'AADT']] 4 X = sm.add_constant(X) File ~\anaconda3\lib\site-packages\pandas\core\frame.py:3807, in DataFrame.__getitem__(self, key) 3805 if self.columns.nlevels > 1: 3806 return self._getitem_multilevel(key) -> 3807 indexer = self.columns.get_loc(key) 3808 if is_integer(indexer): 3809 indexer = [indexer] File ~\anaconda3\lib\site-packages\pandas\core\indexes\base.py:3804, in Index.get_loc(self, key, method, tolerance) 3802 return self._engine.get_loc(casted_key) 3803 except KeyError as err: -> 3804 raise KeyError(key) from err 3805 except TypeError: 3806 # If we have a listlike key, _check_indexing_error will raise 3807 # InvalidIndexError. Otherwise we fall through and re-raise 3808 # the TypeError. 3809 self._check_indexing_error(key) KeyError: 'is_acc'In [ ]: ​

bs_data = w_data[w_data['波束场景No'] == cross_data['波束场景No'][0]] 报错:Traceback (most recent call last): File "C:\Users\z84259074\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexes\base.py", line 3652, in get_loc return self._engine.get_loc(casted_key) File "pandas\_libs\index.pyx", line 147, in pandas._libs.index.IndexEngine.get_loc File "pandas\_libs\index.pyx", line 176, in pandas._libs.index.IndexEngine.get_loc File "pandas\_libs\hashtable_class_helper.pxi", line 7080, in pandas._libs.hashtable.PyObjectHashTable.get_item File "pandas\_libs\hashtable_class_helper.pxi", line 7088, in pandas._libs.hashtable.PyObjectHashTable.get_item KeyError: '波束场景No' The above exception was the direct cause of the following exception: Traceback (most recent call last): File "D:\Users\z84259074\PycharmProjects\参数自优化\self_optimizing.py", line 127, in <module> data = optimizing() File "D:\Users\z84259074\PycharmProjects\参数自优化\self_optimizing.py", line 18, in __init__ self.optimizing_main() File "D:\Users\z84259074\PycharmProjects\参数自优化\self_optimizing.py", line 120, in optimizing_main self.child2=self.mutation_cdata(fitness_data,self.cross_data) File "D:\Users\z84259074\PycharmProjects\参数自优化\self_optimizing.py", line 86, in mutation_cdata bs_data = w_data[w_data['波束场景No'] == cross_data['波束场景No'][0]] File "C:\Users\z84259074\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\frame.py", line 3761, in __getitem__ indexer = self.columns.get_loc(key) File "C:\Users\z84259074\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexes\base.py", line 3654, in get_loc raise KeyError(key) from err KeyError: '波束场景No'

Traceback (most recent call last): File "D:\Anaconda\lib\site-packages\pandas\core\indexes\base.py", line 3802, in get_loc return self._engine.get_loc(casted_key) File "pandas\_libs\index.pyx", line 138, in pandas._libs.index.IndexEngine.get_loc File "pandas\_libs\index.pyx", line 165, in pandas._libs.index.IndexEngine.get_loc File "pandas\_libs\hashtable_class_helper.pxi", line 5745, in pandas._libs.hashtable.PyObjectHashTable.get_item File "pandas\_libs\hashtable_class_helper.pxi", line 5753, in pandas._libs.hashtable.PyObjectHashTable.get_item KeyError: 'A' The above exception was the direct cause of the following exception: Traceback (most recent call last): File "e:\Mydata\py\提取指定范围excel数据.py", line 7, in <module> data = df.loc[0:9, 'A':'B'] # 例如提取第1行到第10行,第1列到第3列的数据 File "D:\Anaconda\lib\site-packages\pandas\core\indexing.py", line 1067, in __getitem__ return self._getitem_tuple(key) File "D:\Anaconda\lib\site-packages\pandas\core\indexing.py", line 1256, in _getitem_tuple return self._getitem_tuple_same_dim(tup) File "D:\Anaconda\lib\site-packages\pandas\core\indexing.py", line 924, in _getitem_tuple_same_dim retval = getattr(retval, self.name)._getitem_axis(key, axis=i) File "D:\Anaconda\lib\site-packages\pandas\core\indexing.py", line 1290, in _getitem_axis return self._get_slice_axis(key, axis=axis) File "D:\Anaconda\lib\site-packages\pandas\core\indexing.py", line 1324, in _get_slice_axis indexer = labels.slice_indexer(slice_obj.start, slice_obj.stop, slice_obj.step) File "D:\Anaconda\lib\site-packages\pandas\core\indexes\base.py", line 6559, in slice_indexer start_slice, end_slice = self.slice_locs(start, end, step=step) File "D:\Anaconda\lib\site-packages\pandas\core\indexes\base.py", line 6767, in slice_locs start_slice = self.get_slice_bound(start, "left") File "D:\Anaconda\lib\site-packages\pandas\core\indexes\base.py", line 6686, in get_slice_bound raise err File "D:\Anaconda\lib\site-packages\pandas\core\indexes\base.py", line 6680, in get_slice_bound slc = self.get_loc(label) File "D:\Anaconda\lib\site-packages\pandas\core\indexes\base.py", line 3804, in get_loc raise KeyError(key) from err KeyError: 'A'

KeyError Traceback (most recent call last) D:\anaconda3\lib\site-packages\pandas\core\indexes\base.py in get_loc(self, key, method, tolerance) 2894 try: -> 2895 return self._engine.get_loc(casted_key) 2896 except KeyError as err: pandas\_libs\index.pyx in pandas._libs.index.IndexEngine.get_loc() pandas\_libs\index.pyx in pandas._libs.index.IndexEngine.get_loc() pandas\_libs\hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item() pandas\_libs\hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.get_item() KeyError: '累计参会时长' The above exception was the direct cause of the following exception: KeyError Traceback (most recent call last) <ipython-input-120-194e4b87e045> in <module> 12 13 # 将时间列中的所有时间字符串转换为分钟数 ---> 14 df3['累计参会时长'] = df3['累计参会时长'].apply(convert_to_minutes) 15 16 # 输出转换后的DataFrame D:\anaconda3\lib\site-packages\pandas\core\frame.py in __getitem__(self, key) 2900 if self.columns.nlevels > 1: 2901 return self._getitem_multilevel(key) -> 2902 indexer = self.columns.get_loc(key) 2903 if is_integer(indexer): 2904 indexer = [indexer] D:\anaconda3\lib\site-packages\pandas\core\indexes\base.py in get_loc(self, key, method, tolerance) 2895 return self._engine.get_loc(casted_key) 2896 except KeyError as err: -> 2897 raise KeyError(key) from err 2898 2899 if tolerance is not None: KeyError: '累计参会时长' 以上代码有此报错 应该怎么改

Traceback (most recent call last): File "D:\Anaconda\lib\site-packages\pandas\core\indexes\base.py", line 3802, in get_loc return self._engine.get_loc(casted_key) File "pandas\_libs\index.pyx", line 138, in pandas._libs.index.IndexEngine.get_loc File "pandas\_libs\index.pyx", line 165, in pandas._libs.index.IndexEngine.get_loc File "pandas\_libs\hashtable_class_helper.pxi", line 5745, in pandas._libs.hashtable.PyObjectHashTable.get_item File "pandas\_libs\hashtable_class_helper.pxi", line 5753, in pandas._libs.hashtable.PyObjectHashTable.get_item KeyError: 'Column1' The above exception was the direct cause of the following exception: Traceback (most recent call last): File "e:\Mydata\py\提取指定范围excel数据.py", line 7, in <module> data = df.loc[0:9, 'Column1':'Column3'] # 例如提取第1行到第10行,第1列到第3列的数据 File "D:\Anaconda\lib\site-packages\pandas\core\indexing.py", line 1067, in __getitem__ return self._getitem_tuple(key) File "D:\Anaconda\lib\site-packages\pandas\core\indexing.py", line 1256, in _getitem_tuple return self._getitem_tuple_same_dim(tup) File "D:\Anaconda\lib\site-packages\pandas\core\indexing.py", line 924, in _getitem_tuple_same_dim retval = getattr(retval, self.name)._getitem_axis(key, axis=i) File "D:\Anaconda\lib\site-packages\pandas\core\indexing.py", line 1290, in _getitem_axis return self._get_slice_axis(key, axis=axis) File "D:\Anaconda\lib\site-packages\pandas\core\indexing.py", line 1324, in _get_slice_axis indexer = labels.slice_indexer(slice_obj.start, slice_obj.stop, slice_obj.step) File "D:\Anaconda\lib\site-packages\pandas\core\indexes\base.py", line 6559, in slice_indexer start_slice, end_slice = self.slice_locs(start, end, step=step) File "D:\Anaconda\lib\site-packages\pandas\core\indexes\base.py", line 6767, in slice_locs start_slice = self.get_slice_bound(start, "left") File "D:\Anaconda\lib\site-packages\pandas\core\indexes\base.py", line 6686, in get_slice_bound raise err File "D:\Anaconda\lib\site-packages\pandas\core\indexes\base.py", line 6680, in get_slice_bound slc = self.get_loc(label) File "D:\Anaconda\lib\site-packages\pandas\core\indexes\base.py", line 3804, in get_loc raise KeyError(key) from err KeyError: 'Column1'

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