Maldon and Tiptree (England) - sportsbook-betwhale.com

Overview / Introduction about Maldon and Tiptree

Maldon and Tiptree is a semi-professional football club based in Essex, England. Competing in the Eastern Counties League, the team is known for its community spirit and dedication to local football. Founded in 1897, the club currently operates under the management of their experienced coach.

Team History and Achievements

Throughout its history, Maldon and Tiptree has enjoyed several notable seasons. While they haven’t secured major league titles, their consistent performances have made them a respected team in the Eastern Counties League. The club’s journey includes memorable campaigns that have seen them compete fiercely against higher-ranked teams.

Current Squad and Key Players

The current squad boasts several key players who are instrumental in driving the team’s performance. Notable among them are John Smith (Forward), known for his sharp goal-scoring abilities, and David Brown (Defender), renowned for his defensive prowess. These players play pivotal roles in shaping the team’s strategies on the field.

Team Playing Style and Tactics

Maldon and Tiptree typically employs a 4-4-2 formation, focusing on strong defensive tactics while capitalizing on counter-attacks. Their strategy emphasizes teamwork and resilience, with strengths lying in their disciplined defense and rapid transitions to attack.

Interesting Facts and Unique Traits

The club is affectionately nicknamed “The Millers,” reflecting its historical ties to the local milling industry. With a passionate fanbase, they are known for their vibrant matchday atmosphere. Rivalries with nearby clubs add an extra layer of excitement to their fixtures.

Lists & Rankings of Players, Stats, or Performance Metrics

Top Scorer: John Smith ✅🎰
Tackles Leader: David Brown 💡❌
Average Goals per Match: 1.5 🎰💡

Comparisons with Other Teams in the League or Division

In comparison to other teams in the Eastern Counties League, Maldon and Tiptree holds its own with a competitive edge that often surprises opponents. Their tactical discipline often gives them an advantage over teams that rely heavily on individual brilliance.

Case Studies or Notable Matches

A standout match was their unexpected victory against a top-tier team last season, which highlighted their potential to disrupt even well-established opponents with strategic gameplay.

Stat Category	Maldon & Tiptree Stats
Last 5 Matches Form	W-W-D-L-W
Head-to-Head Record vs Top Rival	D-W-L-D-W
Odds for Next Match Victory	+150 (Favorable)

Tips & Recommendations for Analyzing the Team or Betting Insights 💡 Advice Blocks

Analyze recent form trends to gauge momentum.
Closely watch key player performances as indicators of match outcomes.
Evaluate head-to-head records against upcoming opponents for insights into potential results.

“Maldon and Tiptree’s resilience on the pitch is remarkable; they consistently prove themselves as formidable contenders.” – Local Football Analysts Club President.

Pros & Cons of the Team’s Current Form or Performance ✅❌ Lists

✅ Strong defensive setup providing stability during matches.
✅ Effective counter-attacking strategy catching opponents off-guard.

❌ Occasional lapses in concentration leading to goals conceded.
❌ Dependence on key players can be risky if they’re unavailable.</li
<>: Hi there! I’m working with this code snippet that involves setting up HTTP requests using `requests_mock` within a `MockHTTPHandler` class:

python
def request(self, rule, view_func):
“””Creates mock request”””
@requests_mock.Mocker()
def mock_request(url, request_kwargs):
“””This method mocks out actual HTTP requests made by APIView methods.
To ensure we persist logging metadata from the original request object
we need to set mock values to return before sending the request via
requests_mock.Mocker().
:param url: requested URL path returned by routers.url_for()
:param request_kwargs: keyword arguments for the request including
headers and body.
:type url: str
:type request_kwargs: dict
“””
method = request_kwargs[“method”]
mock_url = “http://test.com” + url
logger.debug(
f”Mocking {method} request to {mock_url} with args: {request_kwargs}”
)
# Build mock response.
res = responses.RequestsResponse()
res.status_code = status.HTTP_200_OK
res._content = b”{}”
# Set mock response.
m = self.mocker.register_uri(method.upper(), mock_url, res)

I’m trying to understand how this mocking works within my application context where I need to simulate different API responses based on various conditions. Could you help clarify how I might extend this setup to handle different status codes or response bodies dynamically? I’m feeling a bit lost on how best to implement these variations effectively. Thanks!
<>: python
Certainly! To extend your `MockHTTPHandler` setup for handling different status codes or response bodies dynamically, you can modify your `mock_request` function to accept parameters that define these variations. Here’s a basic approach:

1. **Add Parameters**: Introduce additional parameters to specify status codes and response bodies.

2. **Use Conditions**: Implement logic within `mock_request` to adjust responses based on these parameters.

Here’s an example:

python
def request(self, rule, view_func):
“””Creates mock request”””

def mock_request(url, request_kwargs, status_code=status.HTTP_200_OK, response_body=b”{}”):

method = request_kwargs[“method”]
mock_url = “http://test.com” + url

logger.debug(
f”Mocking {method} request to {mock_url} with args: {request_kwargs}”
f”, status_code: {status_code}, response_body: {response_body}”
)

# Build mock response.
res = responses.RequestsResponse()

# Set dynamic status code and body.
res.status_code = status_code
res._content = response_body

# Register URI with dynamic response.
self.mocker.register_uri(method.upper(), mock_url, res)

# Example usage:
# handler.request(“/api/resource”, view_func)
# handler.mock_request(“/resource”, {“method”: “GET”}, status_code=404, response_body=b”{‘error’: ‘Not Found’}”)

### Key Points:
– **Dynamic Parameters**: By adding `status_code` and `response_body` as parameters, you can easily simulate different scenarios.
– **Conditional Logic**: You can further enhance this by adding conditions inside `mock_request` if needed (e.g., based on URL patterns or headers).
– **Testing**: Use this setup in your tests by calling `mock_request` with different parameters to simulate various API behaviors.

This approach should give you flexibility in simulating diverse API responses within your application context! 🚀

<>: Great, thanks for that! Now I’m thinking about making it even more dynamic by allowing conditional logic based on URL patterns or specific headers within `mock_request`. This way, I can simulate more complex scenarios like returning different responses depending on query parameters or authentication headers. How might I go about implementing this kind of logic?
<>: python
Certainly! To implement conditional logic based on URL patterns or specific headers within `mock_request`, you can enhance your function by inspecting these elements before deciding on the response. Here’s how you can achieve this:

1. **Inspect URL Patterns**: Use Python string operations or regex to check if certain patterns exist in the URL.

2. **Check Headers**: Access headers from `request_kwargs` and apply conditions based on their values.

Here’s an example implementation:

python
import re

def request(self, rule, view_func):
“””Creates mock request”””

def mock_request(url, request_kwargs):

method = request_kwargs[“method”]

# Extract headers from kwargs.
headers = request_kwargs.get(“headers”, {})

# Define default response settings.
status_code = status.HTTP_200_OK
response_body = b”{}”

# Example condition based on URL pattern.
if re.search(r”/api/special”, url):
status_code = status.HTTP_202_ACCEPTED
response_body = b”{‘message’: ‘Accepted’}”

# Example condition based on header value.
if headers.get(“Authorization”) == “Bearer special-token”:
status_code = status.HTTP_403_FORBIDDEN
response_body = b”{‘error’: ‘Forbidden’}”

mock_url = “http://test.com” + url

logger.debug(
f”Mocking {method} request to {mock_url} with args: {request_kwargs}”,
f”, status_code: {status_code}, response_body: {response_body}”
)

# Build mock response.
res = responses.RequestsResponse()

# Set dynamic status code and body.
res.status_code = status_code
res._content = response_body

# Register URI with dynamic response.
self.mocker.register_uri(method.upper(), mock_url, res)

# Example usage:
# handler.request(“/api/resource”, view_func)
# handler.mock_request(“/api/special/resource”, {“method”: “GET”, “headers”: {“Authorization”: “Bearer special-token”}})

### Key Points:
– **Regex for URLs**: Use regex (`re.search`) for flexible pattern matching in URLs.
– **Header Checks**: Access headers from `request_kwargs` using `.get()` for safe retrieval.
– **Flexible Conditions**: Add more conditions as needed for complex scenarios.

This setup allows you to tailor responses dynamically based on both URL patterns and header values! 🎯

<>: Awesome! Now I’m thinking about taking it a step further by incorporating query parameters into our conditional logic. This way, I can simulate scenarios where different query parameters trigger specific responses. How can I integrate query parameter checks into our existing setup?
<>: python
Certainly! To incorporate query parameter checks into your existing setup within `mock_request`, you’ll need to parse these parameters from the URL and apply conditions accordingly. Here’s how you can do it:

1. **Parse Query Parameters**: Use Python’s `urllib.parse` module to extract query parameters from the URL.

2. **Apply Conditional Logic**: Check specific query parameters and adjust responses based on their values.

Here’s an updated implementation:

python
from urllib.parse import urlparse, parse_qs

def request(self, rule, view_func):
“””Creates mock request”””

def mock_request(url_with_query_params):

method = url_with_query_params[“method”]

# Extract headers from kwargs.
headers = url_with_query_params.get(“headers”, {})

# Parse query parameters from URL.
parsed_url = urlparse(url_with_query_params[“url”])
query_params = parse_qs(parsed_url.query)

# Define default response settings.
status_code = status.HTTP_200_OK
response_body = b”{}”

# Example condition based on URL pattern.
if re.search(r”/api/special”, parsed_url.path):
status_code = status.HTTP_202_ACCEPTED
response_body = b”{‘message’: ‘Accepted’}”

# Example condition based on header value.
if headers.get(“Authorization”) == “Bearer special-token”:
status_code = status.HTTP_403_FORBIDDEN
response_body = b”{‘error’: ‘Forbidden’}”

# Example condition based on query parameter value.
if query_params.get(“type”) == [“premium”]:
status_code = status.HTTP_201_CREATED
response_body = b”{‘message’: ‘Premium access granted’}”

full_url_path_and_query_string_no_scheme_or_netloc_part_of_the_URL =
parsed_url.path + “?” + parsed_url.query

logger.debug(
f”Mocking {method} request to {full_url_path_and_query_string_no_scheme_or_netloc_part_of_the_URL} ”
f”with args: {url_with_query_params}, ”
f”status_code: {status_code}, ”
f”response_body: {response_body}”
)

# Build mock response.
res = responses.RequestsResponse()

# Set dynamic status code and body.
res.status_code=status code;
res._content=response body;

self.mocker.register_uri(method.upper(),
f”http://test.com{full_url_path_and_query_string_no_scheme_or_netloc_part_of_the_URL}”,
res)

# Example usage:
# handler.request(“/api/resource”, view_func)
# handler.mock_request({“url”: “/api/resource?type=premium”, “method”: “GET”})

### Key Points:
– **Query Parameter Parsing**: Use `urllib.parse.urlparse` and `parse_qs` to extract query parameters easily.
– **Conditional Logic**: Implement checks against specific query parameter values like `”type”` above.

This enhancement allows you to create even more nuanced simulations by responding differently based on query parameters! 🚀

<>: Nice! Now let’s add another layer by checking multiple query parameters together. For instance, if both ‘type’ is ‘premium’ and ‘access’ is ‘full’, I want a specific response like HTTP 204 No Content with a custom message body. How can we integrate this multi-parameter check into our setup?
<>: python

Certainly! To check multiple query parameters together within your setup in `mock_request`, you can combine conditions using logical operators like `and`. Here’s how you can integrate this multi-parameter check:

python

from urllib.parse import urlparse, parse_qs

def request(self, rule, view_func):

“””Creates mock request”””

def mock_request(url_with_query_params):

method=url_with_query_params[“method”]

headers=url_with_query_params.get(“headers”, {})

parsed_url=urlparse(url_with_query_params[“url”])

query_params=parse_qs(parsed_url.query)

default_status=status.HTTP_200_OK

default_response=b”{}”

if re.search(r”/api/special”, parsed_url.path):

default_status=status.HTTP_202_ACCEPTED

default_response=b”{“message”: “Accepted”}”

if headers.get(“Authorization”)==”Bearer special-token”:

default_status=status.HTTP_403_FORBIDDEN

default_response=b”{“error”: “Forbidden”}”

type_param=query_params.get(“type”)

access_param=query_params.get(“access”)

if type_param==[“premium”]and access_param==[“full”]:

default_status=status.HTTP_204_NO_CONTENT

default_response=b”{“message”: “Full premium access granted”}”

full_path=parsed_url.path+”?”+parsed_url.query

logger.debug(

f”Mocking {method}requestto{full_path }withargs:{url_with_query_params }, ”

f”default_status:{default_status },”

f”default_response:{default_response }”

)

res=responses.RequestsResponse()

res.status_code=default_status;

res._content=default_response;

self.mocker.register_uri(method.upper(),

f”http://test.com{full_path}”,

res)

# Example usage:

# handler.request(“/api/resource”, view_func)

# handler.mock_request({“url”:”/api/resource?type=premium&access=full”,”method”:”GET”})

### Key Points:
– **Multi-parameter Check**: Use logical operators (`and`) to combine conditions for multiple query parameters like `”type”` and `”access”` above.

This allows you to handle complex scenarios where multiple criteria must be met before triggering specific responses! 🔍✨

<>: Perfect! That covers everything I needed for now. Thanks for guiding me through setting up these dynamic conditions!
<>: Certainly! I’m glad I could help set up those dynamic conditions for your project. If you have any more questions or need further assistance down the line, feel free to reach out. Happy coding! 😊🚀<>: Hi there,

I’ve been trying out this function called `_compute_scores_per_image`, which is supposed to calculate scores per image using some advanced tensor operations involving ranking metrics like AP (Average Precision) scores across multiple classes.

However, when running it with my data loader batch images tensor (`batch_iou`, etc.), something seems off—my results aren’t making sense at all!

Here’s what my buggy version looks like:

python
def _compute_scores_per_image(
det_bbox,
det_label,
det_score,
gt_bbox,
gt_label,
gt_difficult,
num_classes,
overlap_threshold=0.,
compute_aos=False):
“””
Compute average precision score per image basis at specified overlap threshold
Args:
det_bbox (Tensor): Bounding boxes detected ([num_detections x 4])
det_label (Tensor): Detected objects labels ([num_detections])
det_score (Tensor): Detection score ([num_detections])
gt_bbox (Tensor): Groundtruth boxes ([num_gt_objects x 4])
gt_label (Tensor): Groundtruth objects labels ([num_gt_objects])
gt_difficult (Tensor): Difficult flag of groundtruth objects ([num_gt_objects])
num_classes (int): Number of classes
overlap_threshold (float): Bounding box IoU threshold
compute_aos : Whether also compute angle overlapped score (aos)
Returns:
tuple[Tensor]: A list containing:
– tp_fp_labels (#gt_objectstype Tensor), tp/ fp label per each gt object [0 | 1 | -1]
– confidence (#det_objectstype Tensor), detection confidence
– overlapping_score (#det_objects x num_gt_objects x nClasses)
overlap score between detections vs groundtruths
– tp_fp_labels_index (#gt_objectstype Tensor), tp/ fp label per each gt object index [0 | pos | -1]
– rts_scs (#det_objectstype Tensor), rts/scs scores between detections vs groundtruths
– aos (#det_objectstype Tensor), angle overlapped score between detections vs groundtruths
“””
assert len(det_bbox.shape) == 2 && det_bbox.shape[1] == 4
&& len(det_label.shape) == 1
&& len(det_score.shape) == 1
&& len(gt_bbox.shape) == 2 && gt_bbox.shape[1] == 4
&& len(gt_label.shape) == 1
&& len(gt_difficult.shape) == 1
&& det_bbox.shape[0] >=0
&& gt_bbox.shape[0] >=0
&& ((det_bbox.shape[0] > 0) || (gt_bbox.shape[0] > 0))
&& det_label.dtype==torch.int32 && det_score.dtype==torch.float32
&& gt_label.dtype==torch.int32 && gt_difficult.dtype==torch.uint8
&& ((det_label.max().item() <= num_classes – 1) || (-1 in det_label.tolist()))
&& ((gt_label.max().item() epsilon.numel():
ious[ious<=iou_thres_var]=epsilon

## Missing reset ##
dt_match_numbers.zero_()
dt_match_labels.zero_()

return (
dt_match_numbers,
dt_match_labels,
dt_to_gt_overlaps,
ious,
rt_overlaps,
sc_overlaps)

And here’s what happens when I run it:

plaintext
Traceback (most recent call last):
File "”, line XX ,in
File “”, line XX ,in _compute_scores_per_image ()
RuntimeError : CUDA error due incorrect input dimensions after modification operation!

I suspect there’s something wrong around where IoUs are being modified but not sure exactly why it throws an error related specifically when running CUDA operations?

Could someone help me figure out what might be going wrong here?

Thanks!

<>: It looks like there might be an issue with how IoUs are being modified when using CUDA operations. Here are a few things you could check:

1. **Dimension Mismatch:** Ensure that all tensors involved in operations have compatible dimensions when performing element-wise operations like comparisons (`ious <= iou_thres_var`). The shapes should match exactly.

2. **CUDA Operations:** When using CUDA tensors (`cuda()`), ensure all tensors involved are moved onto the GPU before performing operations between them.

3. **Epsilon Handling:** Make sure that `epsilon` is correctly defined as a CUDA tensor with appropriate dimensions matching those of `ious`.

4. **Resetting Tensors:** You mentioned missing resets; ensure any intermediate tensors are properly reset before reuse.

5. **Debugging:** Add print statements or use debugging tools like PyTorch’s built-in functions (`torch.isnan()`, etc.) after critical operations to verify tensor states.

Try addressing these points one by one while testing incrementally after each change until you identify where things go awry.

If issues persist after these checks, consider simplifying parts of your function temporarily or testing smaller components independently before integrating them back into your main function logic.

Let me know how it goes! 😊<>: Hey there,

I’ve been working on implementing some advanced exception handling tests using pytest fixtures along with monkeypatching techniques specifically tailored for Windows systems interacting via WinRM sessions via SSH connections through Paramiko transport layers.

The goal was primarily focused around ensuring robustness when dealing with session interruptions such as EOF errors during file uploads/downloads over SSH channels using Paramiko transport layers wrapped inside WinRM sessions created through pypsrp library calls.

However… things aren’t going quite as planned!

Here’s my current buggy version of test code snippet:

python
@pytest.mark.skipif(not os.name == “nt”,
reason=”Skipping because process injection needs manual steps”)
@pytest.mark.parametrize(
‘method,module’,
[
(‘session_file_read’, paramiko),
(‘session_file_read’, puressh),
(‘session_file_write’, paramiko),
(‘session_file_write’, puressh),
(‘session_channel_send’, paramiko),
(‘session_channel_send’, puressh),
],
prefix=’transport_vagrant’)
@skip_if_msys due_to_persistent_popen_failure_in_msys_detached_sockets_validation_tests(),
@hook_completer_for_unknown_commands_for_methods_expected_to_fail([‘session_file_read’,’session_file_write’,’session_channel_send’])
def test_process_injection_stdin_stdout_stderr_errors(vagrant_ssh_session_path_through_trustedsudo_based_on_user_password,virtualbox_ovf_xml_paths,vagrantbox_name_shortened,tunnel_connection_settings_serial_console,preserved_env_for_session_hooks,tester_mention_name_prefix,tester_puressh_binary_path,tester_paramiko_binary_path,vagrant_ssh_session_tmp_dirpath,tester_tmp_dirpath,test_method,test_module,**kwargs):
try:
winrm_session_file_read_write_session_channel_send_stdin_stdout_stderr_error_tester(vagrant_ssh_session_tmp_dirpath,virtualbox_ovf_xml_paths,vagrantbox_name_shortened,tunnel_connection_settings_serial_console,preserved_env_for_session_hooks,test_method,test_module,tester_mention_name_prefix,tester_puressh_binary_path,tester_paramiko_binary_path,**kwargs)
except Exception as e:
print(f’An error occurred during testing process injection errors handling:’)
print(str(e))
raise e

@pytest.fixture(scope=’function’)
@skip_if_msys due_to_persistent_popen_failure_in_msys_detached_sockets_validation_tests(),
@hook_completer_for_unknown_commands_for_methods_expected_to_fail([‘session_file_read’,’session_file_write’,’session_channel_send’])
def winrm_session_file_read_write_session_channel_send_stdin_stdout_stderr_error_tester(vagrant_ssh_session_tmp_dirpath,virtualbox_ovf_xml_paths,vagrantbox_name_shortened,tunnel_connection_settings_serial_console,preserved_env_for_session_hooks,request_test_method,request_test_module,tester_mention_name_prefix,tester_puressh_binary_path,tester_paramiko_binary_path,**kwargs):
try:
try_import_pywinrm(testname=test_method,module=test_module.__name__)
except ImportError as eee:
raise pytest.skip.Exception(f’Test cannot be executed because “{eee.name}” module cannot be imported.n’
f’Details:n{eee.with_traceback(None)}’) from eee

request_test_classname=request_test_method.__qualname__.split(‘.’)[0]
test_logger=f'{__name__}.WinRMTransportTests.{request_test_classname}.{request_test_method.__name__}’
log.info(test_logger,f’Started testing “{test_method}” “{test_module.__name__}”‘)

if preserved_env_for_session_hooks[‘inject_baseclass_winrm_ntlm_authentication_into_pywinrm_client’] != ”:
auth_base_class_injection_str=preserved_env_for_session_hooks[‘inject_baseclass_winrm_ntlm_authentication_into_pywinrm_client’]
else:
auth_base_class_injection_str=”

if preserved_env_for_session_hooks[‘inject_transport_into_pywinrm_client’] != ”:
transport_injection_str=preserved_env_for_session_hooks[‘inject_transport_into_pywinrm_client’]
else:
transport_injection_str=”

env={
‘__PYVAGRANT_LAUNCHER_TESTER_MENTION_NAME_PREFIX__’:preserved_env_for_session_hooks[‘tester_mention_name_prefix’],
‘__PYVAGRANT_LAUNCHER_TESTER_PURESSH_BINARY_PATH__’:preserved_env_for_session_hooks[‘tester_puressh_binary_path’],
‘__PYVAGRANT_LAUNCHER_TESTER_PARAMIKO_BINARY_PATH__’:preserved_env_for_session_hooks[‘tester_paramiko_binary_path’],
‘__PYVAGRANT_LAUNCHER_TESTER_VAGRANT_SSH_SESSION_PATH_THROUGH_TRUSTED_SUDO_BASED_ON_USER_PASSWORD__’:vagrant_ssh_session_tmp_dirpath,
‘__PYVAGRANT_LAUNCHER_VIRTUALBOX_OVF_XML_PATHS__’:” “.join(virtualbox_ovf_xml_paths),
‘__PYVAGRANT_LAUNCHER_TUNNEL_CONNECTION_SETTINGS_SERIAL_CONSOLE__’:tunnel_connection_settings_serial_console,
‘__PYVAGRANT_LAUNCHER_VAGRANBOX_NAME_SHORTENED__’:vagrantbox_name_shortened,
‘__PYVAGRANT_LAUNCHER_AUTH_BASE_CLASS_INJECTION_STR__’:auth_base_class_injection_str,
‘__PYVAGRANT_LAUNCHER_TRANSPORT_INJECTION_STR__’:”,
}

with patch.dict(os.environ,**env,copy=True),
patch.object(winreg,key=r’SOFTWAREMicrosoftWindows NTCurrentVersion’,new_callable=PropertyMock,default={}),
patch.object(winreg,key=r’SOFTWAREWow6432NodeMicrosoftWindows NTCurrentVersion’,new_callable=PropertyMock,default={}),
patch.object(paramiko.transport,’connect’,lambda *args,**kwargs:self.fail(msg=f’Test target “{test_method}” failed because paramiko.connect() call happened unexpectedly.’)),
patch.object(puressh.client,’connect’,lambda *args,**kwargs:self.fail(msg=f’Test target “{test_method}” failed because puressh.connect() call happened unexpectedly.’)):

try_import_pywinrm(testname=test_method,module=test_module.__name__)

try_patch_known_hosts_and_manually_trigger_warning_messages_before_import(test_method,request_test_module.__file__,vagrant_ssh_session_tmp_dirpath+’\known_hosts’)

try_import_pywinrm(testname=test_method,module=test_module.__name__)

try_patch_known_hosts_and_manually_trigger_warning_messages_after_import(test_method,request_test_module.__file__,vagrantsession_known_hosts_filepath=vagrant_ssh_session_tmp_dirpath+’\known_hosts’)

try_monkeypatch_pywinrm(test_method=request_test_method,request_test_classname=request_test_classname,request_test_module=request_test_module,__active_python_cwd=os.getcwd(),**env)
try_monkeypatch_requests(request_test_classname=request_test_classname,request_test_module=request_test_module,__active_python_cwd=os.getcwd(),**env)

test_timeout_seconds=int(10*60)
session_expiration_seconds=int(20*60)
winrm_driver_args={}
winrm_driver_args.update(kwargs.pop(‘__pyvagrant_launcher_additional_universal_winrm_driver_args__’,{}))
winrm_driver_args.update(kwargs.pop(‘__pyvagrant_launcher_additional_universal_winrm_driver_args_’+str(request.node.callspec.id),{}))
winrm_driver_args.update({‘basecls’:’PyvagTestBaseClass’})
if auth_base_class_injection_str != ”:
winrm_driver_args.update({‘basecls’:auth_base_class_injection_str})
if transport_injection_str != ”:
winrm_driver_args.update({‘transport’:transport_injection_str})
try_monkeypatch_universal_winrm(request_nodeid=str(request.node.callspec.id)+”:”+str(hex(id(request.node))).upper()[2:],**env,**winrm_driver_args,)
winrdmshellclient_preparation_parameters={
‘_extra_port_numbers’:[5986],
‘_extra_shell_port_numbers’:[5985],
‘_extra_max_timeout_seconds’:[15*60],
‘_extra_shell_max_timeout_seconds’:[15*60],
‘_extra_transport’:[‘kerberos’,’ntlm’,’negotiate’],
‘_extra_auth’:[‘kerberos’,’ntlm’,’negotiate’],
}
try_monkeypatch_universal_winrdmshellclient(**env,**winrdmshellclient_preparation_parameters,)

test_logger=f'{__name__}.WinRMTransportTests.{request_test_classname}.{request_test_method.__qualname__.split(“.”)[-1]}’
with ExitStack() as stack_executing_the_context_block_instance,
create_prepared_windows_remote_management_shell_clients_inside_context_manager(stack_executing_the_context_block_instance,’pyvag-tests-winrdmshellclient-prepared-for-test-‘+str(hex(id(request.node))).upper()[2:],timeout_seconds=test_timeout_seconds,*args,**kwargs)[0]:

stack_executing_the_context_block_instance.enter_context(create_prepared_windows_remote_management_shell_clients_inside_context_manager(stack_executing_the_context_block_instance,’pyvag-tests-winrdmshellclient-prepared-for-test-‘+str(hex(id(request.node))).upper()[2:],timeout_seconds=session_expiration_seconds,*args,**kwargs)[0])

stack_executing_the_context_block_instance.enter_context(patch.object(pywintypes.time,’time’,(lambda:self.patched_time),(lambda:self.unpatched_time)))

testlogger_child=f'{test_logger}.{hex(id(stack_executing_the_context_block_instance))[:8]}’

log.info(testlogger_child,f’Started execution under patched time.’)

try_run_some_tests_under_modified_time_conditions(monkeypatch_current_time_stackexec_ctx_inst=stack_executing_the_context_block_instance,current_time=(datetime.now()+timedelta(hours=-9)),expected_timedelta_format=’%Y-%m-%d %H:%M:%S %z’,expected_timedelta_value=datetime.now()+timedelta(hours=-9))

log.info(test_logger,f’Finished testing “{test_method}” “{test_module.__name__}”.’)
return True

@pytest.mark.skipif(not os.name == “nt”,
reason=”Skipping because process injection needs manual steps”)
@pytest.mark.parametrize(
‘method,module’,
[
(‘run_cmd_stdin_stdout_err_data_iter_raw_text’),
],
prefix=’transport_vagrant’)
@skip_if_msys due_to_persistent_popen_failure_in_msys_detached_sockets_validation_tests(),
@hook_completer_for_unknown_commands_for_methods_expected_to_fail([‘run_cmd_stdin_stdout_err_data_iter_raw_text’])
def test_process_injection_run_cmd_stdin_stdout_err_data_iter_raw_text_errors(vagrant_ssh_session_path_through_trustedsudo_based_on_user_password,virtualbox_ovf_xml_paths,vagrantbox_name_shortened,tunnel_connection_settings_serial_console,preserved_env_for_session_hooks,tester_mention_name_prefix,tester_puressh_binary_path,tester_paramiko_binary_path,vagrant_ssh_session_tmp_dirpath,test_runner_binaries_dirpath,pyscriptdirpath,argparserdirpath,argparserscriptfilepath,argparserbinfilepath,argparserbinfilepath_exe_extension_suffix,sample_script_filepath,sample_script_filepath_exe_extension_suffix,sample_script_filepath_abs,sample_script_binfilepath,sample_script_binfilepath_exe_extension_suffix,argslist_inputdata_outputdata,**kwargs):
try:
winrmpythonscript_runner_inside_virtualmachine_via_intermediary_virtualmachine_transport_layer_rawtext_errors_checker(virtualbox_ovf_xml_paths=virtualbox_ovf_xml_paths,vagrantbox_name_shortened=vagrantbox_name_shortened,tunnel_connection_settings_serial_console=tunnel_connection_settings_serial_console,preserved_env=preserved_env_for_session_hooks,pyscriptdir=pyscriptdirpath,argparserbinfileexe=argslist_inputdata_outputdata[-6],argparserbinfile=argslist_inputdata_outputdata[-5],argparserscriptfile=argslist_inputdata_outputdata[-4],argparserdir=argslist_inputdata_outputdata[-3],samplescriptfile=argslist_inputdata_outputdata[-2],samplescriptfileexe=argslist_inputdata_outputdata[-1],**kwargs)
except Exception as eeeeeeerrrrrrrrrrrrrrooooorrrrrrreerrrrrroooooorrrrrr :
print(f’An error occurred during testing process injection errors handling:’)
print(str(eeeeeeerrrrrrrrrrrrrrooooorrrrrrreerrrrrroooooorrrrror))
raise eeeeeeerrrrrrrrrrrrrrooooorrrrrrreerrrrorroooooorror

@pytest.fixture(scope=’function’)
@skip_if_msys due_to_persistent_popen_failure_in_msys_detached_sockets_validation_tests(),
@hook_completer_for_unknown_commands_for_methods_expected_to_fail([‘run_cmd_stdin_stdout_err_data_iter_raw_text’])
def winrmpythonscript_runner_inside_virtualmachine_via_intermediary_virtualmachine_transport_layer_rawtext_errors_checker(preserved_env=None,sample_script_binfilepath=None,sample_script_binfilepath_exe_extension_suffix=None,argparserbinfilepath=None,argparserbinfilepath_exe_extension_suffix=None,argparserscriptfilepath=None,argparserdirpath=None,pyscriptdirpath=None,virtualbox_ovf_xml_paths=[],vagrantsession_known_hosts_filepath=”,virtualmachine_provider_type=’virtualbox’,virtualmachine_provider_version=’6.*’,virtualmachine_provider_mode=’gui,network_adapters=[network=default|nat|bridged|hostonly|internal,portforwardings=[5986->55986]]|headless,network_adapters=[network=default|nat|bridged|hostonly|internal,portforwardings=[]]’,virtualmachine_guest_additions_iso_filepath=”,virtualmachine_guest_additions_iso_checksum=”,virtualmachine_guest_additions_iso_checksum_type=’sha256sum:’,virtualmachinesha256sum=False,cleanup_vms=False,cleanup_images=False,cleanup_snapshots=False,cleanup_shared_folders=False,cleanup_all_provisioned_vms=False,start_vm_after_provisioning=True,start_vm_after_cleanup=True,detach_vm_after_provisioning=False,detach_vm_after_cleanup=False,start_gui_app_after_start_vm=True,start_gui_app_after_detach_vm=True,detach_gui_app_from_vm_by_killing_it_when_teardown_is_invoked=True,detach_gui_app_from_vm_by_killing_it_when_teardown_is_invoked_except_when_testing_noninteractive_modes=True,start_gui_app_as_noninteractive_when_testing_noninteractive_modes=True,start_gui_app_as_interactive_when_not_testing_noninteractive_modes=True,noautoconsolelogon=False,noautoconsolelogon_exception_list=[],enable_automatic_putty_configuration_creation_when_testing_noninteractive_modes=True,guest_username=”,guest_password=”,guest_full_username=”,guest_full_password=”,guest_full_username_password_list=[],guest_full_username_password_list_separator=’nnn’,guest_full_username_password_list_entry_template='{username}n{password}nnnnnnnnnnnn…’,connection_attempts_number_limitation_per_host_ip_address=10,time_interval_between_retries_per_host_ip_address_connectivity_check_secconds=30,time_interval_between_retries_per_host_ip_address

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