How to write unit_test for a function which only updates a global dict type variable - Python(pytest) - python-3.x

Question

Unit-Test code for a function which does a validation operation and updates the Global dict - result_count = {'test_method':{'Total_tested': 0, 'passed': 0, 'failed': 0}
below is the function
def validate_response(testmethod, response, expected_data):
ra = response.json()
expected = expected_data['payload']
if (response.status_code == expected['response_status']) \
and (result_count[testmethod['folder']]["FAILED"] < 10):
------code logic - checks using jsondiff and re.expressions--
else:
missmatch = 'response status code missmatch'
update_result(testmethod, 'status_code', expected_data, response, missmatch, fail=True)
result_count[testmethod['folder']]['FAILED'] += 1
Need to write test for the above function. to check if the result_count is updated properly.
Regular expression library & jsondiff is also used in the mentioned function.
help required for mocking the global variable and using the same for testing.
During executing the test script below i was getting a key error for the global variable result_count. That implies that the code is unable to access the result_count.. the key error after the update - is throwing TypeError: '<=' not supported between instances of 'MagicMock' and 'int' as Error
The current issue is that the result_count is not updated when the below line code is executed.
partner_test.validate_response(test_input_mocker.method, response, expected_data)
my unit test script is as below
#patch("tests.p_test.result")
#patch("tests.p_test.result_count")
def test_validate_response_pass(result_count_mocker, monkeypatch, result_mocker, test_input_mocker):
# Build data for validate response function
response = Resp(200, {'message': 'pong'})
response_data = response.json()
expected_data = {some_test_data}
# global variable import and initialize result, result_count
from p_test import result, result_count
result_count.update(result_count_mocker.data)
result.update(result_mocker.data)
result_count_mocker.return_value = result_count_mocker.data
def update_result_mocker(*args):
mock operations here
return None
monkeypatch.setattr(partner_test, "update_result", update_result_mocker)
p_test.validate_response(test_input_mocker.method, response, expected_data)
Resp() in the test fnction is a response class created to mock the response object.

Answer 1

the issue can be resolved using #patch.dict(dict_name, values) below is the solution
#patch.dict(p_test.result, {dict_values })
#patch.dict(p_test.result_count, {dict_values})
def test_validate_response(monkeypatch, test_input_mocker, result_count_test):
response = Resp(200, {'message': 'pong'})
response_data = response.json()
expected_data = {----your data-----}
def update_result_mocker(*args):
# mock_operations
monkeypatch.setattr(p_test, "update_result", update_result_mocker)
p_test.validate_response(test_input_mocker.method, response, expected_data)
print(p_test.result_count)