Estadísticas y predicciones de W75 Petange

Próximo Torneo de Tenis W75 en Petange, Luxemburgo

Mañana será un día emocionante para los aficionados al tenis en Petange, Luxemburgo, ya que se llevará a cabo el torneo de la categoría W75. Este torneo es una oportunidad única para ver a algunas de las mejores tenistas mayores en acción, ofreciendo partidos llenos de talento y experiencia. En este artículo, te proporcionaremos una guía detallada sobre los partidos programados, junto con predicciones expertas de apuestas para ayudarte a tomar decisiones informadas.

Calendario de Partidos

A continuación, encontrarás el calendario completo de partidos para el torneo W75. Estos enfrentamientos prometen ser intensos y llenos de momentos memorables:

• 09:00 AM - Martina Navratilova vs. Billie Jean King
• 10:30 AM - Chris Evert vs. Margaret Court
• 12:00 PM - Evonne Goolagong Cawley vs. Virginia Wade
• 02:00 PM - Tracy Austin vs. Hana Mandlíková
• 04:30 PM - Steffi Graf vs. Monica Seles
• 07:00 PM - Serena Williams vs. Venus Williams

Análisis Detallado de Partidos y Predicciones de Apuestas

Cada partido del torneo W75 tiene sus propias particularidades y desafíos únicos. A continuación, analizamos cada enfrentamiento y ofrecemos predicciones basadas en el rendimiento reciente, el historial y las condiciones actuales:

Martina Navratilova vs. Billie Jean King

Martina Navratilova, conocida por su excepcional resistencia y habilidad estratégica, enfrentará a Billie Jean King, una leyenda del tenis conocida por su juego agresivo y espíritu competitivo. Ambas jugadoras han demostrado un rendimiento impresionante en sus últimos partidos:

• Martina ha ganado sus últimos cinco partidos consecutivos.
• Billie Jean ha mostrado una gran mejora en su servicio durante esta temporada.

Predicción: Martina Navratilova tiene una ligera ventaja debido a su consistencia en los últimos meses. Apostar por Martina podría ser una opción segura.

Chris Evert vs. Margaret Court

Chris Evert, famosa por su juego defensivo impecable, se enfrenta a Margaret Court, una jugadora con un poderoso servicio y un estilo ofensivo dominante:

• Evert ha mantenido un excelente control sobre sus emociones durante los partidos recientes.
• Court ha mostrado un aumento notable en su velocidad y agilidad.

Predicción: Dado el estilo defensivo de Evert y la experiencia que posee sobre Court en superficies similares, Chris Evert podría tener la delantera.

Evonne Goolagong Cawley vs. Virginia Wade

Evonne Goolagong Cawley se destaca por su habilidad para adaptarse rápidamente al ritmo del partido, mientras que Virginia Wade es conocida por su precisión en los tiros finales:

• Goolagong ha ganado varios partidos gracias a su habilidad para recuperarse rápidamente.
• Va[0]: #!/usr/bin/env python [1]: import os [2]: import sys [3]: import logging [4]: import time [5]: import argparse [6]: import json [7]: from datetime import datetime [8]: from subprocess import check_output [9]: from git import Repo [10]: from azure.storage.blob import BlockBlobService [11]: from azure.storage.queue import QueueService [12]: from settings import * [13]: logger = logging.getLogger(__name__) [14]: handler = logging.StreamHandler() [15]: handler.setFormatter(logging.Formatter('%(asctime)s %(levelname)s %(message)s')) [16]: logger.addHandler(handler) [17]: logger.setLevel(logging.INFO) [18]: def create_parser(): [19]: parser = argparse.ArgumentParser(description='Fetch latest updates from the git repo and push them to Azure storage') [20]: parser.add_argument('--azure-storage-account', required=True, [21]: help='Azure storage account name') [22]: parser.add_argument('--azure-storage-key', required=True, [23]: help='Azure storage account key') [24]: parser.add_argument('--azure-queue-name', default=AZURE_QUEUE_NAME, [25]: help='Azure queue name') [26]: parser.add_argument('--azure-blob-container-name', default=AZURE_BLOB_CONTAINER_NAME, [27]: help='Azure blob container name') [28]: return parser [29]: def create_queue_service(azure_storage_account_name, azure_storage_account_key): [30]: queue_service = QueueService(account_name=azure_storage_account_name, [31]: account_key=azure_storage_account_key) [32]: if not queue_service.exists(azure_queue_name): [33]: logger.info('Queue "%s" does not exist; creating it now.', azure_queue_name) [34]: queue_service.create_queue(azure_queue_name) [35]: return queue_service [36]: def create_blob_service(azure_storage_account_name, azure_storage_account_key): [37]: blob_service = BlockBlobService(account_name=azure_storage_account_name, [38]: account_key=azure_storage_account_key) [39]: if not blob_service.exists(container_name): [40]: logger.info('Container "%s" does not exist; creating it now.', container_name) [41]: blob_service.create_container(container_name) [42]: return blob_service def parse_git_log(git_log): def parse_git_logs(git_log): log = {} log['commit_hash'] = commit_hash.strip() log['commit_message'] = commit_message.strip() log['date'] = date.strip() log['author'] = author.strip() log['author_email'] = author_email.strip() logs.append(log) if logs: for log in logs: message = 'New commit detectedn' message += 'Commit hash: %sn' % log['commit_hash'] message += 'Commit message: %sn' % log['commit_message'] message += 'Author: %sn' % log['author'] message += 'Author email: %sn' % log['author_email'] message += 'Date: %sn' % datetime.strptime(log['date'], '%a %b %d %H:%M:%S %Y %z').strftime('%Y-%m-%d') queue_service.put_message(azure_queue_name, json.dumps(message)) logger.info('Added new commit to the Azure queue.') def main(): parser = create_parser() args = parser.parse_args() if args.azure_storage_account and args.azure_storage_key: azure_storage_account_name = args.azure_storage_account azure_storage_account_key = args.azure_storage_key azure_queue_name = args.azure_queue_name container_name = args.azure_blob_container_name queue_service = create_queue_service(azure_storage_account_name, azure_storage_account_key) blob_service = create_blob_service(azure_storage_account_name, azure_storage_account_key) git_repo_path = os.path.abspath(os.path.join(os.path.dirname(__file__), '..', '..', 'backend')) repo = Repo(git_repo_path) current_commit_hash = repo.head.commit.hexsha git_log_format_str = '%H%n%P%n%B%n%aE%n%ad%n' git_log_format_args_str = '--date=iso' git_log_command_str = 'git --git-dir=%s/log --work-tree=%s log --pretty=format:%s %s' git_log_command_str %= (repo.git_dir, git_repo_path, git_log_format_str, git_log_format_args_str) try: git_log_output_raw = check_output(git_log_command_str.split()) except Exception as e: logger.error('Failed to run the git command "%s":n%s', git_log_command_str, e.message) sys.exit(-1) git_log_output_lines_raw = git_log_output_raw.split('n') logs = [] commit_hash_start_index_raw = 0 commit_hash_end_index_raw = 0 commit_message_start_index_raw = 0 commit_message_end_index_raw = 0 date_start_index_raw = 0 date_end_index_raw = 0 author_start_index_raw = 0 author_end_index_raw = 0 author_email_start_index_raw = 0 author_email_end_index_raw = 0 for i in range(len(git_log_output_lines_raw)): if i == 0: commit_hash_start_index_raw += len(git_log_output_lines_raw[i]) commit_hash_end_index_raw += len(git_log_output_lines_raw[i]) continue if i == len(git_log_output_lines_raw) - 1: commit_hash_end_index_raw += len(git_log_output_lines_raw[i]) continue if i > 0 and i <= len(git_log_output_lines_raw) - 1: current_line_len = len(git_log_output_lines_raw[i]) previous_line_len = len(git_log_output_lines_raw[i-1]) if current_line_len > previous_line_len: commit_hash_end_index_raw += previous_line_len + 1 commit_message_start_index_raw += previous_line_len + 1 commit_message_end_index_raw += current_line_len date_start_index_raw += current_line_len + 1 date_end_index_raw += len(git_log_output_lines_raw[i+1]) elif current_line_len == previous_line_len: commit_hash_end_index_raw += previous_line_len + 1 commit_message_start_index_raw += previous_line_len + 1 commit_message_end_index_raw += current_line_len date_start_index_raw += current_line_len + 1 date_end_index_raw += len(git_log_output_lines_raw[i+1]) elif current_line_len < previous_line_len: if i == len(git_log_output_lines_raw) - 2: author_start_index_raw += current_line_len + 1 author_end_index_raw += current_line_len + 1 + len(git_log_output_lines_raw[i+1]) else: author_start_index_raw += current_line_len + 1 author_end_index_raw += len(git_log_output_lines_raw[i+1]) break while True: try: parse_git_logs(git_log_output_lines_raw[ commit_hash_start_index_raw : commit_hash_end_index_raw], git_log_output_lines_raw[ commit_message_start_index_raw : commit_message_end_index_raw], git_log_output_lines_raw[ date_start_index_raw : date_end_index_raw], git_log_output_lines_raw[ author_start_index_raw : author_end_index_raw], ) except Exception as e: logger.error('Error parsing the Git logs:n%s', e.message) sys.exit(-1) break try: time.sleep(WAIT_INTERVAL_SECONDS_BEFORE_PARSING_GIT_LOGS_AGAIN) except KeyboardInterrupt: break if __name__ == '__main__': main() ***** Tag Data ***** ID: 2 description: Parsing complex Git logs into structured data by iterating through raw output lines and identifying specific segments based on length comparisons. start line: 58 end line: 140 dependencies: - type: Function name: parse_git_logs start line: 58 end line: 140 context description: This function parses the raw output of a Git log command into structured data by iterating through the lines and identifying different segments. algorithmic depth: 4 algorithmic depth external: N obscurity: 4 advanced coding concepts: 3 interesting for students: 5 self contained: Y ************* ## Suggestions for complexity 1. **Handling Multiple Commits Per Line**: Modify the code to handle scenarios where multiple commits might be logged on a single line due to some custom Git formatting or filtering. 2. **Detecting and Parsing Merged Commits**: Extend the logic to detect and properly parse merged commits and their respective metadata. 3. **Customizable Parsing Rules**: Introduce a way to define custom parsing rules dynamically at runtime using configuration files or user inputs. 4. **Handling Large Logs Efficiently**: Implement an efficient way to process very large Git logs by using streaming or chunking techniques instead of loading everything into memory. 5. **Enhanced Error Reporting**: Add detailed error reporting and logging mechanisms that can provide more insights into why certain parsing failures occur. ## Conversation <|user|>i need to handle multiple commits per line in my [SNIPPET] how do i modify it<|end|> <|assistant|>To handle multiple commits per line in your [SNIPPET], you'll need to modify the loop that processes each line to split lines that contain multiple commits and process each one individually. Here's a modification for the relevant portion of your code: python for i in range(len(git_log_output_lines_raw)): # Split lines containing multiple commits by a delimiter (e.g., '|') split_commits_on_current_line = git_log_output_lines_raw[i].split('|') for split_commit in split_commits_on_current_line: # Trim whitespace around each split_commit before processing further. split_commit_trimmed = split_commit.strip() # Update indices with the length of the trimmed split_commit. current_line_len = len(split_commit_trimmed) previous_line_len = len(git_log_output_lines_trimmed[i-1]) if i > 0 else 0 if i == 0 or i == len(git_log_output_lines_trimmed) - 1 or (i > 0 and i <= len(git_log_output_lines_trimmed) - 1): if i == len(git_log_output_lines_trimmed) - 1: # Handling last element case. ... This will ensure that each segment of multiple commits