


'''simple docstring'''




# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os
from typing import List





def 				a_							(    lowercase				,    lowercase     )      ->Optional[Any]:






				'''simple docstring'''

				if name != "training_function" and name != "main":
								raise ValueError(F'Incorrect function name passed: {name}, choose either \'main\' or \'training_function\''     )
				__lowerCamelCase    ,       __lowerCamelCase		:   Optional[Any]           =       [], False
				for line in lines:
								if not found_start and F'def {name}' in line:
												__lowerCamelCase		:   Optional[int]           =       True
												good_lines.append(lowercase     )
												continue
								if found_start:
												if name == "training_function" and "def main" in line:
																return good_lines
												if name == "main" and "if __name__" in line:
																return good_lines
												good_lines.append(lowercase     )





def 				a_							(    lowercase     )      ->int:






				'''simple docstring'''

				return [line for line in lines if not line.lstrip().startswith("#"     ) and line != "\n"]





def 				a_							(    lowercase				,    lowercase				,    lowercase				,    lowercase = None     )      ->int:






				'''simple docstring'''

				with open(lowercase				,    "r"     ) as f:
								__lowerCamelCase		:   Union[str, Any]           =       f.readlines()
				with open(os.path.abspath(os.path.join("examples"				,    "nlp_example.py"     )     )				,    "r"     ) as f:
								__lowerCamelCase		:   Any           =       f.readlines()
				with open(lowercase				,    "r"     ) as f:
								__lowerCamelCase		:   List[Any]           =       f.readlines()
				if secondary_filename is not None:
								with open(lowercase				,    "r"     ) as f:
												__lowerCamelCase		:   int           =       f.readlines()

    # This is our base, we remove all the code from here in our `full_filename` and `feature_filename` to find the new content
				if parser_only:
								__lowerCamelCase		:   List[Any]           =       clean_lines(get_function_contents_by_name(lowercase				,    "main"     )     )
								__lowerCamelCase		:   Any           =       clean_lines(get_function_contents_by_name(lowercase				,    "main"     )     )
								__lowerCamelCase		:   Optional[int]           =       clean_lines(get_function_contents_by_name(lowercase				,    "main"     )     )
								if secondary_filename is not None:
												__lowerCamelCase		:   Dict           =       clean_lines(get_function_contents_by_name(lowercase				,    "main"     )     )
				else:
								__lowerCamelCase		:   Optional[Any]           =       clean_lines(get_function_contents_by_name(lowercase				,    "training_function"     )     )
								__lowerCamelCase		:   List[str]           =       clean_lines(get_function_contents_by_name(lowercase				,    "training_function"     )     )
								__lowerCamelCase		:   List[Any]           =       clean_lines(get_function_contents_by_name(lowercase				,    "training_function"     )     )
								if secondary_filename is not None:
												__lowerCamelCase		:   int           =       clean_lines(
												    get_function_contents_by_name(lowercase				,    "training_function"     )     )

				__lowerCamelCase		:   Optional[Any]           =       "train_dataloader, eval_dataloader = get_dataloaders(accelerator, batch_size)\n"

				# Specific code in our script that differs from the full version, aka what is new
				__lowerCamelCase		:   Dict           =       []
				__lowerCamelCase		:   Tuple           =       []  # We keep track of the idxs just in case it's a repeated statement
				__lowerCamelCase		:   Union[str, Any]           =       iter(lowercase     )
				for i in range(len(lowercase     ) - 1     ):
								if i not in passed_idxs:
												__lowerCamelCase		:   Optional[Any]           =       next(lowercase     )
												if (line not in full_file_func) and (line.lstrip() != _dl_line):
																if "TESTING_MOCKED_DATALOADERS" not in line:
																				new_feature_code.append(lowercase     )
																				passed_idxs.append(lowercase     )
																else:
																				# Skip over the `config['num_epochs'] = 2` statement
																				__lowerCamelCase		:   Tuple           =       next(lowercase     )

    # Extract out just the new parts from the full_file_training_func
				__lowerCamelCase		:   Union[str, Any]           =       []
				__lowerCamelCase		:   int           =       []  # We keep track of the idxs just in case it's a repeated statement
				for i, line in enumerate(lowercase     ):
								if i not in passed_idxs:
												if (line not in full_file_func) and (line.lstrip() != _dl_line):
																if "TESTING_MOCKED_DATALOADERS" not in line:
																				new_full_example_parts.append(lowercase     )
																				passed_idxs.append(lowercase     )

    # Finally, get the overall diff
				__lowerCamelCase		:   List[Any]           =       [line for line in new_feature_code if line not in new_full_example_parts]
				if secondary_filename is not None:
								__lowerCamelCase		:   List[str]           =       [line for line in full_file_contents if line not in secondary_file_func]
								__lowerCamelCase		:   Optional[int]           =       [line for line in diff_from_example if line not in diff_from_two]

				return diff_from_example









'''simple docstring'''




import requests

try:
				from django.contrib.auth import authenticate, login
				from django.shortcuts import redirect, render
except ImportError:
				__lowercase	:   Dict   		=					print





def 				a_							(    lowercase     )      ->Any:






				'''simple docstring'''

				__lowerCamelCase		:   str           =       "secretKey"
				__lowerCamelCase		:   Optional[Any]           =       "https://www.google.com/recaptcha/api/siteverify"

				# when method is not POST, direct user to login page
				if request.method != "POST":
								return render(lowercase				,    "login.html"     )

				# from the frontend, get username, password, and client_key
				__lowerCamelCase		:   str           =       request.POST.get("username"     )
				__lowerCamelCase		:   Dict           =       request.POST.get("password"     )
				__lowerCamelCase		:   List[str]           =       request.POST.get("g-recaptcha-response"     )

				# post recaptcha response to Google's recaptcha api
				__lowerCamelCase		:   str           =       requests.post(lowercase				,    data={"secret": secret_key, "response": client_key}     )
				# if the recaptcha api verified our keys
				if response.json().get("success"				,    lowercase     ):
								# authenticate the user
								__lowerCamelCase		:   List[Any]           =       authenticate(lowercase				,    username=lowercase				,    password=lowercase     )
								if user_in_database:
												login(lowercase				,    lowercase     )
												return redirect("/your-webpage"     )
				return render(lowercase				,    "login.html"     )





