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• Taylor Cosgrove: Hi there, Times are tough, so I’m offering a free outreach blast to 50,000 contact forms to help you stay visible. No strings attached. It’s the exact same system I use for my paying clients to get fast lead generation, and I’m offering it at no cost to help you stay visible. Want to claim your free spot? Simply head to https://free50ksubmissionsoffer.my and I’ll take care of everything for you. No catch. No obligation. Just a little help when it’s needed most.（2025-04-28 10:18）
• Trisha Bentley: Greetings, Well done on your new domain horse-carnelian.com! It's always exciting to embark on a new online venture. In line with our program to assist new domain owners, I'm reaching out with a valuable resource for horse-carnelian.com. I'm talking about our the Google Maps Lead Collector - a Chrome extension that allows you to locate local businesses in your area. I've made a quick video that illustrates how it works: https://www.youtube.com/watch?time_continue=20&v=1Dd7i4vNgu0 This free tool lets you: Easily download targeted business leads Locate leads in targeted niches Optimize your lead generation Start growing your business immediately You'll get 50 leads per search with no limit on the number of searches! Download your free copy from the video description. https://www.youtube.com/watch?time_continue=20&v=1Dd7i4vNgu0 Here's to your success with horse-carnelian.com! Feel free to reach out with any queries. All the best, Trisha Bentley Online Marketing Expert（2025-04-27 19:08）
• : def today_rolling_df(base,target_df,target_columns,rolling_column_list_list=[]): #↓reindexは既存のカラムへの影響が強いため検討が必要 df = base.reinex(target_df) # 各ターゲットカラムのIDリストを取得 target_id_lists = [df[col] for col in target_columns] # クエリを動的に作成 query = ' | '.join([f'{target_columns[i]} in @target_id_lists[{i}]' for i in range(len(target_columns))]) # クエリを実行 target_df = target_df.query(query) concat_df = pd.concat([df,target_df],axis=1) rolling_df = rolling_master(concat_df,rolling_column_list_list) return rolling_df def today_making_master(base,target_base,pre_group_list_list=[]): """ 処理の流れ ①target_dfを今回出走する馬の情報に限定する。 ②前走出走日を取得する。 ③以降同じ流れ """ hores_id_list = base["horse_id"] temp = target_base.query("@horse_id in horse_id_list") merge_df = pd.concat([base,temp],axis=1) merge_df = getting_pre_date(merge_df) target_df = making_pre_df(target_base) merge_df = combine_noyatu(merge_df,target_df,on=["horse_id","日付"],how="left") return merge_df（2025-04-24 12:52）
• : def today_rolling_df(base,target_df,target_columns,rolling_column_list_list=[]): #↓reindexは既存のカラムへの影響が強いため検討が必要 df = base.reinex(target_df) # 各ターゲットカラムのIDリストを取得 target_id_lists = [df[col] for col in target_columns] # クエリを動的に作成 query = ' | '.join([f'target_id_{i+1} in @target_id_lists[{i}]' for i in range(len(target_columns))]) # クエリを実行 target_df = target_df.query(query) concat_df = pd.concat([df,target_df],axis=1) rolling_df = rolling_master(concat_df,rolling_column_list_list) return rolling_df def today_making_master(base,target_base,pre_group_list_list=[]): """ 処理の流れ ①target_dfを今回出走する馬の情報に限定する。 ②前走出走日を取得する。 ③以降同じ流れ """ hores_id_list = base["horse_id"] temp = target_base.query("@horse_id in horse_id_list") merge_df = pd.concat([base,temp],axis=1) merge_df = getting_pre_date(merge_df) target_df = making_pre_df(target_base) merge_df = combine_noyatu(merge_df,target_df,on=["horse_id","日付"],how="left") return merge_df（2025-04-24 12:41）
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• : def calculate_deviation_place(df, date_key, group_key, target_key, window_size=30): """ 前走の条件に応じて今回の条件を走った場合の平均的な早さを知りたい。 実装のイメージ：日付でローリング→日付でマージ """ # 日付でソート df = df.sort_values(by=[date_key]) # 過去の平均値を計算（グループごと） df["past_avg"] = df.groupby(group_key)[target_key].transform(lambda x: x.shift().rolling(window=window_size).mean()) return df（2025-04-21 12:38）
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• Joanna Riggs: Hi, I just visited horse-carnelian.com and wondered if you'd ever thought about having an engaging video to explain what you do? Our prices start from just $195. Let me know if you're interested in seeing samples of our previous work. If you are not interested, just use the link at the bottom. Regards, Joanna Unsubscribe: https://removeme.live/unsubscribe.php?d=horse-carnelian.com（2025-04-02 22:33）
• : --- - name: Check and replace file if hash does not match hosts: localhost gather_facts: no vars: target_file: "/path/to/your/file" # チェックするファイルのパス expected_hash: "your_expected_sha256_hash" # 期待するSHA256ハッシュ値 backup_dir: "/path/to/backup" # バックアップディレクトリ new_file_source: "/path/to/new/file" # 新しいファイルのパス tasks: - name: Compute SHA256 hash of the target file command: "sha256sum {{ target_file }}" register: file_hash_result failed_when: false # ファイルが存在しない場合でもエラーにしない - name: Extract hash value set_fact: current_hash: "{{ file_hash_result.stdout.split()[0] if file_hash_result.stdout else '' }}" - name: Ensure backup directory exists file: path: "{{ backup_dir }}" state: directory - name: Move file to backup if hash does not match command: "mv {{ target_file }} {{ backup_dir }}/" when: current_hash != expected_hash and current_hash != '' - name: Copy new file to target location copy: src: "{{ new_file_source }}" dest: "{{ target_file }}" remote_src: yes when: current_hash != expected_hash（2025-04-02 08:17）
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• Search Engine Index: Hello, for your website do be displayed in searches your domain needs to be indexed in the Google Search Index. To add your domain to Google Search Index now, please visit https://SearchRegister.info/（2025-03-13 01:00）
• 管理者: 気軽に質問とかしてくれたらうれしいです！（2025-02-13 22:45）