From [HOST]s import ChatPromptTemplate import torch import pickle from transformers import AutoModelForCausalLM, AutoTokenizer, GenerationConfig from collections import defaultdict model_name = "microsoft/phi-1_5" model = [HOST]_pretrained(model_name, trust_remote_code=True) You can do this by using the `type ()` function. python. type (value) Once you know the type of the value, you can try to find out what operation you’re trying to perform on it. You can The Python TypeError: unhashable type: 'dict' usually occurs when trying to hash a dictionary, which is an unhashable object. For example, using a dictionary 1 Answer. Sorted by: 1. Calling df ['colA'].apply (foo) is similar to: foo (df ['colA']) (where df ['colA'] - is a [HOST]), so your function should be able to accept I add my custom metrics the code are as follows: def get_accu1(args): y_true, y_pred, mask = args y_true = [HOST]([HOST](y_true), 'int32') y_pred = [HOST]([HOST](y TypeError: unhashable type: 'dict' in Django. Ask Question Asked 1 year, 2 months ago. Modified 1 year, 2 months ago. That is a set containing a dictionary. Don't do that. Just make a normal dictionary: headers = { "authorization": f"Bearer {[HOST]CK_SECRET_KEY}" } Share Error: unhashable type: 'dict' with @dataclass. name: str. signature: Dict[str, Type[DBType]] prinmary_key: str. foreign_keys: Dict[str, Type[ForeignKey]] indexed: List[str] Don't understand what's the problem. frozen=True prevents you from assigning new values to the attributes; it does not prevent you from mutating the existing mutable values
Error: unhashable type: 'dict' with @dataclass - Stack Overflow
One of my columns was of type "JSONType" from sqlalchemy_utils, and the sqlalchemy-datatables class wasn't handling that it was getting a 'dict' back for the JSON data. I solved this - for better or for worse - by not including that in my columns, and instead having a hand-crafted column that I filled an object out with the details that I needed 2. Try this code. The main idea is convert the [v]+ [i] values in dict1 and dict2 to tuple, then calculate the difference of dict1 and dict2. Finally, convert the tuple type values back to list. ret = {} third_value_list = [0,1] for i in third_value_list: #print i num_list = [1,2] val_list = [0,1] dict1 = dict ((k, tuple ([v]+ [i])) for (k, v From the Python3 docs: If a class does not define an __eq__ () method it should not define a __hash__ () operation either; if it defines __eq__ () but not __hash__ (), its instances will not be usable as items in hashable collections. If a class defines mutable objects and implements an __eq__ () method, it should not implement __hash__ Teams. Q&A for work. Connect and share knowledge within a single location that is structured and easy to search. Learn more about Teams You're trying to use a dict as a key to another dict or in a set. That does not work because the keys have to be hashable. As a. Skip to content >>> some_dict[dict_key] = True Traceback (most recent call last): File "", line 1, in TypeError: unhashable type: 'dict' To use a dict as a key you need to turn it into something The Python TypeError: unhashable type: 'dict' can be fixed by casting a dictionary to a hashable object such as tuple before using it as a key in another dictionary: print (my_dict) In the example above, the tuple () function is used to convert the dictionary to a tuple. The above code runs successfully and produces the correct output As the program expects array to be a list of 2d hashable types (2d tuples), its best if you convert array to that form, before calling any function on it. temp = [HOST]m(size=(10,2)).tolist() array = [tuple(i) for i in temp] This should create the input in the required format. Share TypeError: unhashable type: ‘Scatter’ when trying to create scatter plot with multiple axes. Dash Python. This property is used mainly in dictionary keys. TypeError: unhashable type: ‘list’ usually means that you are trying to use a list as an hash argument. This means that when you try to hash an unhashable object it will result
Python JSON unhashable type: 'dict' - Stack Overflow
What causes a TypeError: unhashable type: ‘dict_keys’? A TypeError: unhashable type: ‘dict_keys’ occurs when you try to use a dictionary key as a hashable value. A hashable value is a value that can be used as the key in a dictionary. Dictionaries use hashable values to quickly find and access their data Simply put, Python "typeerror unhashable type" occurs whenever you use a dictionary or list where Python expects a string or numeric value. Similarly, if you use The Hashable type can be used as a key in a dictionary. A dict() will always call __hash__ for the underlying key. Now for your case, it seems weird that you are iterating over a list from [HOST]()["data" ] storing that in i and then using that to index into [HOST]() it seems unrelated TypeError: unhashable type: 'dict' in Django. Hot Network Questions Do % of lithium-ion batteries overheat, explode, or catch fire each year? Cashing in personal retirement for real estate Disc Brakes disengage when braking, why does this happen? Why can “I want to X” turn into “I want to” but “I look forward to X” cannot become 2 Answers. Python lists are not hashable because they are mutable. You need to use a hashable collection instead, like a tuple. logging_level_ENUM = ('critical', 'error', 'warning', 'info', 'debug') Basically, when you create a dictionnary in python (which is most probably happening in your call to the ENUM function), the keys need to be