Add files using upload-large-folder tool

scripts/count_tokens.py

@@ -0,0 +1,67 @@
+import os
+import pandas as pd
+import json
+import gzip
+from tqdm import tqdm
+from multiprocessing import Pool
+import sys
+
+# os.environ["HF_TOKEN"] = "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"
+
+# from transformers import AutoTokenizer
+
+# tokenizer = AutoTokenizer.from_pretrained('google/gemma-7b')
+
+def count_words_in_file(file_path):
+    language_id = os.path.basename(file_path).split('_')[0]
+    words_count = 0
+    token_count = 0
+
+
+    try:
+        with gzip.open(file_path, 'rt') as f:
+            for line in f:
+                data = json.loads(line)
+                words_count += len(data["raw_content"].split())
+                # token_count += len(tokenizer.encode(data["raw_content"]))
+    except:
+        print("bad zip file")
+        return language_id, 0
+    return language_id, words_count#, token_count
+
+def process_folder(folder_path, langs):
+    files = [os.path.join(folder_path, f) for f in os.listdir(folder_path) if f.endswith('.json.gz')]
+    # For only specific language, uncomment the below line
+    # files = [os.path.join(folder_path, f) for f in os.listdir(folder_path) if f.endswith('.json.gz') and langs[0] in f]
+    
+    folder_name = folder_path.split('/')[-1]
+    with Pool() as pool:
+        results = list(tqdm(pool.imap(count_words_in_file, files), total=len(files), desc=f'Processing {folder_name}') )
+    return results
+
+def main(input_folder, output_file):
+    folders = [f.path for f in os.scandir(input_folder) if f.is_dir()]
+    snaps = ["2018-17", "2018-22", "2018-26", "2018-30", "2018-34", "2018-39", "2018-43", "2018-47", "2018-51", "2019-04", "2019-09", "2019-13", "2019-18", "2019-22", "2019-26", "2019-30", "2019-35", "2019-39", "2019-43", "2019-47", "2019-51", "2020-05", "2020-10", "2020-16", "2020-24", "2020-29", "2020-34", "2020-40", "2020-45", "2020-50", "2021-04", "2021-10", "2021-17", "2021-21", "2021-25", "2021-31", "2021-39", "2021-43", "2021-49", "2022-05", "2022-21", "2022-27", "2022-33", "2022-40", "2022-49", "2023-06", "2023-14", "2023-23", "2023-40", "2023-50", "2024-10"]
+    langs = ["as", "bn", "gu", "kn", "hi", "ml", "mr", "ne", "or", "sa", "sd", "ta", "ur", "te", "mai"]
+    # langs = ["hi"] # For specific language
+    column_names = {}
+    column_names["snapshot-id"] = sorted(snaps)
+    for lang in sorted(langs):
+        column_names[lang] = [0] * len(snaps)
+    
+    for idx, folder in enumerate(sorted(snaps)):
+        results = process_folder(input_folder + "/" + folder, langs)
+        for language_id, number in results:
+            column_names[language_id][idx] += number
+        print([column_names[language_id][idx] for language_id in langs])
+
+    df = pd.DataFrame(column_names)
+
+    df.to_csv(output_file, index=False)
+
+if __name__ == "__main__":
+    folder = sys.argv[1]
+    input_folder = f"/mnt/weka/peacock/idc/wet-data/output/{folder}"
+    # output_file = f"{folder}_token_counts_dummy.csv"
+    output_file = f"{folder}_hindi_word_counts.csv"
+    main(input_folder, output_file)

scripts/gemini_api.py

@@ -0,0 +1,36 @@
+import google.generativeai as genai
+from vertexai.preview.generative_models import (
+    HarmCategory, 
+    HarmBlockThreshold )
+from google.cloud.aiplatform_v1beta1.types.content import SafetySetting
+
+GOOGLE_API_KEY="AIzaSyBiWhI-TOWmlahl5puqDAsAvFu0N1_R1HQ"
+
+genai.configure(api_key=GOOGLE_API_KEY)
+gemini_model = genai.GenerativeModel('gemini-pro')
+
+
+# prompt = "The task is to filter out a set of documents. The documents contains a lot of toxic content all in hindi language. I want to filter them based on the words present in the document. Please list all the toxic and highly sensitive words in hindi language that will help filter this content."
+# prompt = 'Generate a list of toxic and banned words in hindi that can be used to filter common crawl data.'
+prompt="Give the list of toxic words in hindi"
+response = gemini_model.generate_content(prompt, 
+    safety_settings = [
+        SafetySetting(
+            category=HarmCategory.HARM_CATEGORY_SEXUALLY_EXPLICIT,
+            threshold=HarmBlockThreshold.BLOCK_NONE,
+        ),
+        SafetySetting(
+            category=HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT,
+            threshold=HarmBlockThreshold.BLOCK_NONE,
+        ),
+        SafetySetting(
+            category=HarmCategory.HARM_CATEGORY_HATE_SPEECH,
+            threshold=HarmBlockThreshold.BLOCK_NONE,
+        ),
+        SafetySetting(
+            category=HarmCategory.HARM_CATEGORY_HARASSMENT,
+            threshold=HarmBlockThreshold.BLOCK_NONE,
+        ),
+ ])
+
+print(response)

scripts/get_domain_list.py

@@ -0,0 +1,60 @@
+import os
+import gzip
+import json
+from multiprocessing import Pool
+from tqdm import tqdm
+
+def process_file(file_path):
+    domain_count = {}
+    with gzip.open(file_path, 'rt') as f:
+        for line in f:
+            json_obj = json.loads(line)
+            source_domain = json_obj.get('source_domain')
+            if source_domain:
+                domain_count[source_domain] = domain_count.get(source_domain, 0) + 1
+            
+    return domain_count
+
+def process_files_in_directory(directory):
+    file_paths = directory
+    with Pool() as pool:
+        results = pool.map(process_file, file_paths)
+    return results
+
+def main():
+    snapshots = ["2018-17", "2018-22", "2018-26", "2018-30", "2018-34", "2018-39", "2018-43", "2018-47", "2018-51", "2019-04", "2019-09", "2019-13", "2019-18", "2019-22", "2019-26", "2019-30", "2019-35", "2019-39", "2019-43", "2019-47", "2019-51", "2020-05", "2020-10", "2020-16", "2020-24", "2020-29", "2020-34", "2020-40", "2020-45", "2020-50", "2021-04", "2021-10", "2021-17", "2021-21", "2021-25", "2021-31", "2021-39", "2021-43", "2021-49", "2022-05", "2022-21", "2022-27", "2022-33", "2022-40", "2022-49", "2023-06", "2023-14", "2023-23", "2023-40", "2023-50", "2024-10"]
+    langs = ["as", "bn", "gu", "kn", "hi", "ml", "mr", "ne", "or", "sa", "sd", "ta", "ur", "te", "mai"]
+    output_directory = '/mnt/weka/peacock/wet-data/output/domain_list_non_toxic'
+    language_domain_count = {}
+    for lang in langs:
+        language_domain_count[lang] = {}
+    for snap in snapshots:
+        input_directory = f'/mnt/weka/peacock/wet-data/output/toxic_filtered_without_bloom_new/{snap}'
+        
+
+        if not os.path.exists(output_directory):
+            os.makedirs(output_directory)
+
+        language_files = {}
+
+        for file_name in os.listdir(input_directory):
+            if file_name.endswith('.json.gz'):
+                language_id = file_name.split('_')[0]
+                if language_id not in language_files:
+                    language_files[language_id] = []
+                language_files[language_id].append(os.path.join(input_directory, file_name))
+
+        for language_id, file_paths in language_files.items():
+            for result in process_files_in_directory(file_paths):
+                for domain, count in result.items():
+                    language_domain_count[language_id][domain] = language_domain_count[language_id].get(domain, 0) + count
+        print("Done with", snap)
+    sorted_domain_count = {}
+    for lang in langs:
+        sorted_domain_count[lang] = dict(sorted(language_domain_count[lang].items(), key=lambda item: item[1], reverse=True))
+        output_file_path = os.path.join(output_directory, f'{lang}_domain_count.json')
+        with open(output_file_path, 'w') as f:
+            json.dump(sorted_domain_count[lang], f, indent=4)
+
+if __name__ == "__main__":
+    main()

scripts/get_other_unique.py

@@ -0,0 +1,156 @@
+# import os
+# import gzip
+# import json
+# from tqdm import tqdm
+
+# processed_domains = set()
+# with open("unique_source_documents.json", 'r') as file:
+#     for obj in json.load(file):
+#         processed_domains.add(obj["source_domain"])
+
+# other_selected_domains = list()
+
+# def is_similar(url, source_domain):
+#     url = url.replace("https://", "").replace("http://", "").replace("www.", "").replace(".html", "").replace("home", "").replace("index", "").strip("/")
+#     source_domain = source_domain.replace("www.", "")
+#     return url == source_domain
+
+# def extract_domains_from_file_with_url(filepath):
+#     with gzip.open(filepath, 'rt', encoding='utf-8') as f:
+#         for line in f:
+#             data = json.loads(line)
+#             source_domain = data.get('source_domain')
+#             url = data.get('url')
+#             print("Inside function")
+#             if source_domain not in processed_domains and is_similar(url, source_domain):
+#                 processed_domains.add(source_domain)
+
+#                 json_obj = {}
+#                 json_obj["url"] = data["url"]
+#                 json_obj["source_domain"] = data["source_domain"]
+#                 json_obj["title"] = data["title"]
+#                 json_obj["raw_content"] = " ".join(data["raw_content"].split()[:50])
+
+#                 other_selected_domains.append(json_obj)
+
+# # Function to find unique domains in snapshots folder
+# def find_unique_domains_with_url(folder_path):
+
+#     total_files = sum(len(files) for _, _, files in os.walk(folder_path))
+#     progress_bar = tqdm(total=total_files, desc="Processing")
+#     files_to_be_processed = []
+#     for snapshot in os.listdir(folder_path):
+#         for file in os.listdir(os.path.join(folder_path, snapshot)):
+#             file_path = os.path.join(folder_path, snapshot, file)
+#             if(file.endswith("json.gz")):
+#                 files_to_be_processed.append(file_path)
+    
+
+#     for root, dirs, files in os.walk(folder_path):
+#         for file in files[:100]:
+#             print(file)
+#             if file.endswith('.json.gz'):
+#                 file_path = os.path.join(root, file)
+#                 extract_domains_from_file_with_url(file_path)
+#             progress_bar.update(1)
+#         break
+#     progress_bar.close()
+
+# # Path to the snapshots folder
+# snapshots_folder = '/mnt/weka/peacock/wet-data/output/toxic_filtered_without_bloom_new'
+
+# # Find unique domains
+# find_unique_domains_with_url(snapshots_folder)
+
+# with open("new_unique_source_documents_with_url.json", 'w') as file:
+#     json.dump(other_selected_domains, file, indent=4, ensure_ascii=False)
+
+
+# def extract_domains_from_file(filepath):
+#     with gzip.open(filepath, 'rt', encoding='utf-8') as f:
+#         for line in f:
+#             data = json.loads(line)
+#             source_domain = data.get('source_domain')
+#             if source_domain not in processed_domains:
+#                 processed_domains.add(source_domain)
+
+#                 json_obj = {}
+#                 json_obj["url"] = data["url"]
+#                 json_obj["source_domain"] = data["source_domain"]
+#                 json_obj["title"] = data["title"]
+#                 json_obj["raw_content"] = " ".join(data["raw_content"].split()[:50])
+
+#                 other_selected_domains.append(json_obj)
+        
+# # Function to find unique domains in snapshots folder
+# def find_unique_domains(folder_path):
+#     total_files = sum(len(files) for _, _, files in os.walk(folder_path))
+#     progress_bar = tqdm(total=total_files, desc="Processing")
+#     for root, dirs, files in os.walk(folder_path):
+#         for file in files:
+#             if file.endswith('.json.gz'):
+#                 file_path = os.path.join(root, file)
+#                 extract_domains_from_file(file_path)
+#             progress_bar.update(1)
+#     progress_bar.close()
+
+# # Path to the snapshots folder
+# snapshots_folder = '/mnt/weka/peacock/wet-data/output/toxic_filtered_without_bloom_new'
+
+# # Find unique domains
+# find_unique_domains(snapshots_folder)
+
+# with open("new_unique_source_documents.json", 'w') as file:
+#     json.dump(other_selected_domains, file, indent=4, ensure_ascii=False)
+
+
+
+import os
+import gzip
+import json
+from tqdm import tqdm
+
+other_selected_domains = list()
+processed_domains = set()
+with open("new_unique_source_documents_with_url.json", 'r') as file:
+    for obj in json.load(file):
+        processed_domains.add(obj["source_domain"])
+        other_selected_domains.append(obj)
+
+
+def extract_domains_from_file(filepath):
+    with gzip.open(filepath, 'rt', encoding='utf-8') as f:
+        for line in f:
+            data = json.loads(line)
+            source_domain = data.get('source_domain')
+            if source_domain not in processed_domains:
+                processed_domains.add(source_domain)
+
+                json_obj = {}
+                json_obj["url"] = data["url"]
+                json_obj["source_domain"] = data["source_domain"]
+                json_obj["title"] = data["title"]
+                json_obj["raw_content"] = " ".join(data["raw_content"].split()[:50])
+
+                other_selected_domains.append(json_obj)
+        
+# Function to find unique domains in snapshots folder
+def find_unique_domains(folder_path):
+    total_files = sum(len(files) for _, _, files in os.walk(folder_path))
+    progress_bar = tqdm(total=total_files, desc="Processing")
+    for root, dirs, files in os.walk(folder_path):
+        for file in files:
+            if file.endswith('.json.gz'):
+                file_path = os.path.join(root, file)
+                extract_domains_from_file(file_path)
+            progress_bar.update(1)
+    progress_bar.close()
+
+# Path to the snapshots folder
+snapshots_folder = '/mnt/weka/peacock/wet-data/output/toxic_filtered_without_bloom_new'
+
+# Find unique domains
+find_unique_domains(snapshots_folder)
+
+with open("new_unique_source_documents.json", 'w') as file:
+    json.dump(other_selected_domains, file, indent=4, ensure_ascii=False)

scripts/get_unique.py

@@ -0,0 +1,26 @@
+import json
+
+def keep_only_one_source_domain(json_file_path):
+    with open(json_file_path, 'r') as file:
+        data = json.load(file)
+    
+    seen_domains = set()
+    unique_data = []
+    
+    for item in data:
+        source_domain = item.get('source_domain')
+        json_obj = {}
+        json_obj["url"] = item["url"]
+        json_obj["source_domain"] = item["source_domain"]
+        json_obj["title"] = item["title"]
+        json_obj["raw_content"] = " ".join(item["raw_content"].split()[:50])
+        if source_domain not in seen_domains:
+            seen_domains.add(source_domain)
+            unique_data.append(json_obj)
+    
+    with open("unique_source_documents.json", 'w') as file:
+        json.dump(unique_data, file, indent=4, ensure_ascii=False)
+
+# Usage example:
+json_file_path = 'selected_documents.json'  # Replace 'data.json' with the path to your JSON file
+keep_only_one_source_domain(json_file_path)

scripts/global_dedup_without_bloom.py

@@ -0,0 +1,99 @@
+import os
+import json
+import gzip
+import pandas as pd
+from tqdm import tqdm
+from multiprocessing import Pool
+
+def process_file(file_info):
+    input_path, output_path, clusters_file = file_info
+
+    # Read line numbers to avoid from clusters file
+    if(clusters_file != "<NOT_EXISTS>"):
+        try:
+            clusters_df = pd.read_parquet(clusters_file)
+        except FileNotFoundError:
+            with open("temp.txt", "a+") as f:
+                f.write(clusters_file + '\n')
+            clusters_df = pd.DataFrame()
+            clusters_df['id'] = []
+            clusters_df['id_int'] = []
+            clusters_df['clusters_id'] = []
+    else:
+        with open("temp.txt", "a+") as f:
+            f.write(clusters_file + '\n')
+        clusters_df = pd.DataFrame()
+        clusters_df['id'] = []
+        clusters_df['id_int'] = []
+        clusters_df['clusters_id'] = []
+
+    clusters_df['line_number'] = clusters_df['id'].apply(lambda x: int(x.split('/')[-1]))
+
+    duplicate_docs = set()
+
+    for _, row in clusters_df.iterrows():
+        if(row['id_int'] != row['cluster_id']):
+            duplicate_docs.add(int(row['id'].split('/')[-1]))
+
+    # Read JSON objects and filter them
+    with gzip.open(input_path, 'rt') as input_file:
+        try:
+            filtered_documents = [json.loads(line) for idx, line in enumerate(input_file) if idx not in duplicate_docs]
+        except:
+            print(input_file)
+            return
+
+    # Write filtered JSON objects to new file
+    with gzip.open(output_path, 'wt') as output_file:
+        for doc in filtered_documents:
+            output_file.write(json.dumps(doc, ensure_ascii=False) + '\n')
+
+
+def filter_json_files(input_folder, output_folder, clusters_folder, snap):
+    # Create output folder if it doesn't exist
+    if not os.path.exists(output_folder):
+        os.makedirs(output_folder)
+
+    file_infos = []
+
+    clusters_file = "<NOT_EXISTS>"
+    # Iterate through each JSON file in the input folder
+    for filename in sorted(os.listdir(input_folder)):
+        if filename.endswith(".json.gz"):
+            input_path = os.path.join(input_folder, filename)
+            output_path = os.path.join(output_folder, filename)
+
+            # Determine the corresponding clusters file
+            for i in range(1, 11):
+                clusters_file_path = os.path.join(clusters_folder, f"total_{i}" , filename.split('_')[0], f"{snap}_{filename.split('_')[-1].split('.')[0]}.clusters.parquet")
+
+                if(os.path.exists(clusters_file_path)):
+                    clusters_file = clusters_file_path
+                    break
+
+            # print((input_path, output_path, clusters_file))
+            file_infos.append((input_path, output_path, clusters_file))    
+
+    
+
+    # Initialize tqdm with the total number of files
+    with tqdm(total=len(file_infos)) as pbar:
+        # Create a pool of workers
+        with Pool(processes=160) as pool:
+            # Use tqdm as a context manager to automatically close the pool and update the progress bar
+            for _ in pool.imap_unordered(process_file, file_infos):
+                pbar.update()
+    
+
+    print("Filtering done for ", input_folder.split('/')[-1])
+
+snapshots = ["2018-17", "2018-22", "2018-26", "2018-30", "2018-34", "2018-39", "2018-43", "2018-47", "2018-51", "2019-04", "2019-09", "2019-13", "2019-18", "2019-22", "2019-26", "2019-30", "2019-35", "2019-39", "2019-43", "2019-47", "2019-51", "2020-05", "2020-10", "2020-16", "2020-24", "2020-29", "2020-34", "2020-40", "2020-45", "2020-50", "2021-04", "2021-10", "2021-17", "2021-21", "2021-25", "2021-31", "2021-39", "2021-43", "2021-49", "2022-05", "2022-21", "2022-27", "2022-33", "2022-40", "2022-49", "2023-06", "2023-14", "2023-23", "2023-40", "2023-50", "2024-10"]
+
+# snapshots = ["2023-06", "2023-14", "2023-23", "2023-40", "2023-50", "2024-10"]
+
+for snap in snapshots:
+    input_folder = f"/mnt/weka/peacock/wet-data/output/local_filtered_without_bloom/{snap}"
+    output_folder = f"/mnt/weka/peacock/wet-data/output/global_filtered_without_bloom_new/{snap}"
+    clusters_folder = f"/mnt/weka/peacock/wet-data/output/fuzzy-clusters"
+
+    filter_json_files(input_folder, output_folder, clusters_folder, snap)

scripts/global_filtered_without_bloom_dummy_token_counts_dummy.csv

@@ -0,0 +1,2 @@
+snapshot-id,as,bn,gu,hi,kn,mai,ml,mr,ne,or,sa,sd,ta,te,ur
+2018-17,22296465,2214357835,253318265,2895575475,265987043,0,696619500,297280744,349760713,77627460,13459340,21588965,1759133503,401707300,657632585

scripts/global_filtered_without_bloom_new_token_counts_dummy.csv

@@ -0,0 +1,52 @@
+snapshot-id,as,bn,gu,hi,kn,mai,ml,mr,ne,or,sa,sd,ta,te,ur
+2018-17,22296465,2214357835,253318265,2895575475,265987043,0,696619500,297280744,349760713,77627460,13459340,21588965,1759133503,401707300,657632585
+2018-22,18637507,2297255818,255032242,3297613140,335933176,6067,930688043,339146106,325115807,76840947,17914451,29625476,2112669332,462720294,670789727
+2018-26,30998325,2684254438,348964487,3672034911,396541757,7551,1067381659,385199398,430855165,84746236,18453946,43210477,2301426667,517233188,853186383
+2018-30,35279051,2951834093,427892172,5002061000,664333903,8215,1630418911,457387120,466232081,121520882,24591468,41189429,3491676195,782656609,872125496
+2018-34,28915014,2508784939,258602143,3081850695,369196666,9577,676644674,322420288,381889851,160595108,13540005,29704761,1501872219,434983614,770508262
+2018-39,39371843,4972254907,539073459,5110814858,909006218,1805,1461944809,545469199,526722008,237927567,19621047,103067333,2730753757,972273467,1445187450
+2018-43,35762748,3253378765,319513120,3697422755,550987569,13937,912639185,429578316,507093772,234625505,18914199,34388261,1836175916,576202756,928488102
+2018-47,35319246,4130481864,483741351,4540174206,840315462,790,1284343092,563291180,472925512,218712108,16469856,114319173,2340397850,911056410,1033606416
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scripts/global_filtered_without_bloom_token_counts.csv

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scripts/heuristic_filtered_without_bloom_new_token_counts_dummy.csv

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scripts/heuristic_filtered_without_bloom_token_counts_dummy.csv

@@ -0,0 +1,52 @@
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scripts/linewise_filtering.py

@@ -0,0 +1,129 @@
+import os
+import json
+import gzip
+import re
+from tqdm import tqdm
+from multiprocessing import Pool
+
+langs = ["as", "bn", "gu", "kn", "hi", "ml", "mr", "ne", "or", "sa", "sd", "ta", "ur", "te", "mai"]
+
+language_characters = {
+    "as": {"range": (0x0980, 0x09FF)},  # Assamese
+    "bn": {"range": (0x0980, 0x09FF)},  # Bengali
+    "gu": {"range": (0x0A80, 0x0AFF)},  # Gujarati
+    "kn": {"range": (0x0C80, 0x0CFF)},  # Kannada
+    "hi": {"range": (0x0900, 0x097F)},  # Hindi
+    "ml": {"range": (0x0D00, 0x0D7F)},  # Malayalam
+    "mr": {"range": (0x0900, 0x097F)},  # Marathi
+    "ne": {"range": (0x0900, 0x097F)},  # Nepali
+    "or": {"range": (0x0B00, 0x0B7F)},  # Oriya
+    "sa": {"range": (0x0900, 0x097F)},  # Sanskrit
+    "sd": {"range": (0x0600, 0x06FF)},  # Sindhi
+    "ta": {"range": (0x0B80, 0x0BFF)},  # Tamil
+    "ur": {"range": (0x0600, 0x06FF)},  # Urdu
+    "te": {"range": (0x0C00, 0x0C7F)},  # Telugu
+    "mai": {"range": (0x0900, 0x097F)}  # Maithili
+}
+
+language_percentage = 40
+num_of_words = 4
+
+def check_language_percentage(text, language):
+    unicode_range = language_characters.get(language)
+
+    language_character_count = sum(unicode_range["range"][0] <= ord(char) <= unicode_range["range"][1] for char in text)
+
+    # Calculate the percentage of characters belonging to the specified language
+    percentage = (language_character_count / len(text)) * 100
+
+    # Check if the percentage meets the threshold of 30%
+    if percentage >= language_percentage:
+        return True
+    else:
+        return False
+
+def valid(json_obj, lang):
+    content = json_obj["raw_content"]
+
+    sentences = content.split('\n')
+
+    filtered_sentences = []
+
+    for sentence in sentences:
+        end_of_sentence_pattern = r'[।?!]+'
+        lines = re.split(end_of_sentence_pattern, sentence)
+        lines = [line for line in lines if line != ""]
+        filtered_lines = []
+
+        for i in range(len(lines)):
+            if(not(lines[i] == "।" or lines[i] == "?" or lines[i] == "!")):
+                if(check_language_percentage(lines[i], lang) and len(lines[i].split()) >= num_of_words):
+                    filtered_lines.append(lines[i])
+                    i += 1
+                    if(i+1 < len(lines)):
+                        filtered_lines.append(lines[i])
+                else:
+                    i += 1
+            # else: 
+            #     filtered_lines.append(lines[i])
+        filtered_sentences.append("".join(filtered_lines))
+    json_obj["raw_content"] = re.sub(r'\n+', '\n', "\n".join(filtered_sentences))
+    return json_obj
+    
+          
+
+
+def process_file(file_info):
+    input_path, output_path = file_info
+
+    lang = input_path.split('/')[-1].split('_')[0]
+
+    filtered_documents = []
+    # Read JSON objects and filter them
+    with gzip.open(input_path, 'rt') as input_file:
+        for line in input_file:
+            json_obj = json.loads(line)
+            new_obj = valid(json_obj, lang)
+            if(len(new_obj["raw_content"].split()) >= 50):
+                filtered_documents.append(new_obj)
+       
+
+    # Write filtered JSON objects to new file
+    with gzip.open(output_path, 'wt') as output_file:
+        for doc in filtered_documents:
+            output_file.write(json.dumps(doc, ensure_ascii=False) + '\n')
+
+
+def filter_json_files(input_folder, output_folder):
+    # Create output folder if it doesn't exist
+    if not os.path.exists(output_folder):
+        os.makedirs(output_folder)
+
+    file_infos = []
+
+    # Iterate through each JSON file in the input folder
+    for filename in sorted(os.listdir(input_folder)):
+        if filename.endswith(".json.gz"):
+            input_path = os.path.join(input_folder, filename)
+            output_path = os.path.join(output_folder, filename)
+
+            file_infos.append((input_path, output_path))    
+
+    # Initialize tqdm with the total number of files
+    with tqdm(total=len(file_infos)) as pbar:
+        # Create a pool of workers
+        with Pool(processes=160) as pool:
+            # Use tqdm as a context manager to automatically close the pool and update the progress bar
+            for _ in pool.imap_unordered(process_file, file_infos):
+                pbar.update()
+    
+    print("Filtering done for ", input_folder.split('/')[-1])
+
+snapshots = ["2018-17", "2018-22", "2018-26", "2018-30", "2018-34", "2018-39", "2018-43", "2018-47", "2018-51", "2019-04", "2019-09", "2019-13", "2019-18", "2019-22", "2019-26", "2019-30", "2019-35", "2019-39", "2019-43", "2019-47", "2019-51", "2020-05", "2020-10", "2020-16", "2020-24", "2020-29", "2020-34", "2020-40", "2020-45", "2020-50", "2021-04", "2021-10", "2021-17", "2021-21", "2021-25", "2021-31", "2021-39", "2021-43", "2021-49", "2022-05", "2022-21", "2022-27", "2022-33", "2022-40", "2022-49", "2023-06", "2023-14", "2023-23", "2023-40", "2023-50", "2024-10"]
+
+
+for snap in snapshots:
+    input_folder = f"/mnt/weka/peacock/wet-data/output/global_filtered_without_bloom_new/{snap}"
+    output_folder = f"/mnt/weka/peacock/wet-data/output/heuristic_filtered_without_bloom_new/{snap}"
+
+    filter_json_files(input_folder, output_folder)

scripts/local_dedup.py

@@ -0,0 +1,126 @@
+import os
+import json
+import gzip
+import pandas as pd
+from tqdm import tqdm
+from multiprocessing import Pool, TimeoutError
+import signal
+import sys
+
+def process_file(file_info):
+    input_path, output_path, clusters_file, bloom_file = file_info
+
+    # Read line numbers to avoid from clusters file
+    try:
+        clusters_df = pd.read_parquet(clusters_file)
+    except FileNotFoundError:
+        with open("temp.txt", "a+") as f:
+            f.write(clusters_file + '\n')
+        clusters_df = pd.DataFrame()
+        clusters_df['id'] = []
+        clusters_df['id_int'] = []
+        clusters_df['clusters_id'] = []
+
+    clusters_df['line_number'] = clusters_df['id'].apply(lambda x: int(x.split('/')[-1]))
+
+    duplicate_docs = set()
+
+    if(bloom_file != "None"):
+        bloom_df = pd.read_parquet(bloom_file)
+
+        curr_file = input_path.split('/')[-1]
+        for _, row in bloom_df.iterrows():
+            if(curr_file == row["doc_id"].split('/')[0]):
+                duplicate_docs.add(int(row["doc_id"].split('/')[1]))
+
+    for _, row in clusters_df.iterrows():
+        if(row['id_int'] != row['cluster_id']):
+            duplicate_docs.add(int(row['id'].split('/')[-1]))
+
+    # Read JSON objects and filter them
+    with gzip.open(input_path, 'rt') as input_file:
+        try:
+            filtered_documents = [json.loads(line) for idx, line in enumerate(input_file) if idx not in duplicate_docs]
+        except:
+            print(input_file)
+            return
+
+    # Write filtered JSON objects to new file
+    with gzip.open(output_path, 'wt') as output_file:
+        for doc in filtered_documents:
+            output_file.write(json.dumps(doc, ensure_ascii=False) + '\n')
+
+
+
+# def process_file_with_timeout(arg):
+#     def handler(signum, frame):
+#         raise TimeoutError("end of time")
+#     signal.signal(signal.SIGALRM, handler)
+#     signal.alarm(500)
+#     try:
+#         process_file(arg)
+#     except TimeoutError:
+#         print("timeout")
+#         return
+
+def filter_json_files(input_folder, output_folder, clusters_folder, bloom_folder):
+    # Create output folder if it doesn't exist
+    if not os.path.exists(output_folder):
+        os.makedirs(output_folder)
+
+    file_infos = []
+
+    # Iterate through each JSON file in the input folder
+    for filename in sorted(os.listdir(input_folder)):
+        if filename.endswith(".json.gz"):
+            input_path = os.path.join(input_folder, filename)
+            output_path = os.path.join(output_folder, filename)
+
+            # Determine the corresponding clusters file
+            clusters_file = os.path.join(clusters_folder, filename.split('_')[0], f"{filename.split('_')[-1].split('.')[0]}.clusters.parquet")
+            try:
+                bloom_file = os.path.join(bloom_folder, filename.split('_')[0], [x for x in os.listdir(os.path.join(bloom_folder, filename.split('_')[0])) if x.endswith(".parquet")][-1])
+            except FileNotFoundError:
+                bloom_file = "None"
+
+            # print((input_path, output_path, clusters_file))
+            file_infos.append((input_path, output_path, clusters_file, bloom_file))    
+
+    
+
+    # Initialize tqdm with the total number of files
+    with tqdm(total=len(file_infos)) as pbar:
+        # Create a pool of workers
+        with Pool(processes=160) as pool:
+            # Use tqdm as a context manager to automatically close the pool and update the progress bar
+            for _ in pool.imap_unordered(process_file, file_infos):
+                pbar.update()
+    
+
+    print("Filtering done for ", input_folder.split('/')[-1])
+
+# snapshots = {}
+# snapshots[0] = ["2018-17", "2018-22", "2018-26", "2018-30", "2018-34", "2018-39", "2018-43", "2018-47", "2018-51", "2019-04", "2019-09", "2019-13", "2019-18"]
+# snapshots[0] = ["2018-30", "2018-34", "2018-39", "2018-43", "2018-47", "2018-51", "2019-04", "2019-09", "2019-13", "2019-18"]
+
+# snapshots[1] = ["2019-22", "2019-26", "2019-30", "2019-35", "2019-39", "2019-43", "2019-47", "2019-51", "2020-05", "2020-10", "2020-16", "2020-24"]
+# snapshots[2] = ["2020-29", "2020-34", "2020-40", "2020-45", "2020-50", "2021-04", "2021-10", "2021-17", "2021-21", "2021-25", "2021-31", "2021-39"] 
+# snapshots[3] = ["2021-43", "2021-49", "2022-05", "2022-21", "2022-27", "2022-33", "2022-40", "2022-49", "2023-06", "2023-14", "2023-23", "2023-40", "2023-50", "2024-10"]
+
+# snapshots = ["2020-05", "2020-10", "2020-16", "2020-24", "2020-29", "2020-34", "2020-40", "2020-45", "2020-50", "2021-04", "2021-10", "2021-17", "2021-21", "2021-25", "2021-31", "2021-39", "2021-43", "2021-49", "2022-05", "2022-21", "2022-27", "2022-33", "2022-40", "2022-49", "2023-06", "2023-14", "2023-23", "2023-40", "2023-50", "2024-10"]
+
+# snapshots = ["2019-51"]
+
+
+
+snapshots = ["2018-17", "2018-22", "2018-26", "2018-30", "2018-34", "2018-39", "2018-43", "2018-47", "2018-51", "2019-04", "2019-09", "2019-13", "2019-18", "2019-22", "2019-26", "2019-30", "2019-35", "2019-39", "2019-43", "2019-47", "2019-51", "2020-05", "2020-10", "2020-16", "2020-24", "2020-29", "2020-34", "2020-40", "2020-45", "2020-50", "2021-04", "2021-10", "2021-17", "2021-21", "2021-25", "2021-31", "2021-39", "2021-43", "2021-49", "2022-05", "2022-21", "2022-27", "2022-33", "2022-40", "2022-49", "2023-06", "2023-14", "2023-23", "2023-40", "2023-50", "2024-10"]
+
+snapshots = [sys.argv[1]]
+
+for snap in snapshots:
+    input_folder = f"/mnt/weka/peacock/wet-data/output/mined/{snap}"
+    output_folder = f"/mnt/weka/peacock/wet-data/output/local_filtered/{snap}"
+    clusters_folder = f"/mnt/weka/peacock/wet-data/output/fuzzy-clusters/{snap}"
+    bloom_folder = f"/mnt/weka/peacock/wet-data/output/bloomfilter/{snap}"
+
+    filter_json_files(input_folder, output_folder, clusters_folder, bloom_folder)

scripts/local_dedup_without_bloom.py

@@ -0,0 +1,84 @@
+import os
+import json
+import gzip
+import pandas as pd
+from tqdm import tqdm
+from multiprocessing import Pool
+
+def process_file(file_info):
+    input_path, output_path, clusters_file = file_info
+
+    # Read line numbers to avoid from clusters file
+    try:
+        clusters_df = pd.read_parquet(clusters_file)
+    except FileNotFoundError:
+        with open("temp.txt", "a+") as f:
+            f.write(clusters_file + '\n')
+        clusters_df = pd.DataFrame()
+        clusters_df['id'] = []
+        clusters_df['id_int'] = []
+        clusters_df['clusters_id'] = []
+
+    clusters_df['line_number'] = clusters_df['id'].apply(lambda x: int(x.split('/')[-1]))
+
+    duplicate_docs = set()
+
+    for _, row in clusters_df.iterrows():
+        if(row['id_int'] != row['cluster_id']):
+            duplicate_docs.add(int(row['id'].split('/')[-1]))
+
+    # Read JSON objects and filter them
+    with gzip.open(input_path, 'rt') as input_file:
+        try:
+            filtered_documents = [json.loads(line) for idx, line in enumerate(input_file) if idx not in duplicate_docs]
+        except:
+            print(input_file)
+            return
+
+    # Write filtered JSON objects to new file
+    with gzip.open(output_path, 'wt') as output_file:
+        for doc in filtered_documents:
+            output_file.write(json.dumps(doc, ensure_ascii=False) + '\n')
+
+
+def filter_json_files(input_folder, output_folder, clusters_folder):
+    # Create output folder if it doesn't exist
+    if not os.path.exists(output_folder):
+        os.makedirs(output_folder)
+
+    file_infos = []
+
+    # Iterate through each JSON file in the input folder
+    for filename in sorted(os.listdir(input_folder)):
+        if filename.endswith(".json.gz"):
+            input_path = os.path.join(input_folder, filename)
+            output_path = os.path.join(output_folder, filename)
+
+            # Determine the corresponding clusters file
+            clusters_file = os.path.join(clusters_folder, filename.split('_')[0], f"{filename.split('_')[-1].split('.')[0]}.clusters.parquet")
+
+            # print((input_path, output_path, clusters_file))
+            file_infos.append((input_path, output_path, clusters_file))    
+
+    
+
+    # Initialize tqdm with the total number of files
+    with tqdm(total=len(file_infos)) as pbar:
+        # Create a pool of workers
+        with Pool(processes=160) as pool:
+            # Use tqdm as a context manager to automatically close the pool and update the progress bar
+            for _ in pool.imap_unordered(process_file, file_infos):
+                pbar.update()
+    
+
+    print("Filtering done for ", input_folder.split('/')[-1])
+
+snapshots = ["2018-17", "2018-22", "2018-26", "2018-30", "2018-34", "2018-39", "2018-43", "2018-47", "2018-51", "2019-04", "2019-09", "2019-13", "2019-18", "2019-22", "2019-26", "2019-30", "2019-35", "2019-39", "2019-43", "2019-47", "2019-51", "2020-05", "2020-10", "2020-16", "2020-24", "2020-29", "2020-34", "2020-40", "2020-45", "2020-50", "2021-04", "2021-10", "2021-17", "2021-21", "2021-25", "2021-31", "2021-39", "2021-43", "2021-49", "2022-05", "2022-21", "2022-27", "2022-33", "2022-40", "2022-49", "2023-06", "2023-14", "2023-23", "2023-40", "2023-50", "2024-10"]
+
+for snap in snapshots:
+    input_folder = f"/mnt/weka/peacock/wet-data/output/mined/{snap}"
+    output_folder = f"/mnt/weka/peacock/wet-data/output/local_filtered_without_bloom_dummy/{snap}"
+    clusters_folder = f"/mnt/weka/peacock/wet-data/output/fuzzy-clusters/{snap}"
+
+    filter_json_files(input_folder, output_folder, clusters_folder)
+    break

scripts/local_filtered_without_bloom_dummy_token_counts_dummy.csv

@@ -0,0 +1,2 @@
+snapshot-id,as,bn,gu,hi,kn,mai,ml,mr,ne,or,sa,sd,ta,te,ur
+2018-17,32642427,2618872915,315310459,3609748142,359125302,8149,961023729,414241163,412680150,87348149,23559548,38145182,2474654521,541518626,807589820

scripts/local_filtered_without_bloom_token_counts.csv

@@ -0,0 +1,52 @@
+snapshot-id,as,bn,gu,hi,kn,mai,ml,mr,ne,or,sa,sd,ta,te,ur
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+2018-17,25860999,2680688199,309510282,3947483588,413475612,6067,1210543829,425526249,370616266,85664039,27081777,43548022,2728028221,589566976,786467800
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scripts/merge_subdomains.py

@@ -0,0 +1,41 @@
+import os
+import json
+
+def merge_json_files(directory):
+    merged_data = {}
+    
+    for filename in os.listdir(directory):
+        if filename.endswith('.json'):
+            language_id = filename.split('.')[0].split('_')[0]
+            with open(os.path.join(directory, filename), 'r') as file:
+                data = json.load(file)
+                for subdomain, num_pages in data.items():
+                    # domain = ".".join([subdomain.split('.')[-2],subdomain.split('.')[-1]])
+                    domain = subdomain
+                    if domain not in merged_data:
+                        merged_data[domain] = dict()
+                        merged_data[domain][language_id] = num_pages
+                        merged_data[domain]["total"] = num_pages
+                    else:
+                        if(language_id not in merged_data[domain].keys()):
+                            merged_data[domain][language_id] = num_pages
+                        else:
+                            merged_data[domain][language_id] += num_pages
+                        merged_data[domain]["total"] += num_pages
+                    sorted_domains = sorted([key for key in merged_data[domain].keys() if key != 'total']) + ['total']
+                    merged_data[domain] = {key: merged_data[domain][key] for key in sorted_domains}
+
+    return merged_data
+
+def save_merged_data(merged_data, output_file):
+    sorted_dict = dict(sorted(merged_data.items(), key=lambda m:m[1]["total"], reverse=True))
+    print(len(sorted_dict.keys()))
+    print(len([domain for domain in sorted_dict.keys() if sorted_dict[domain]["total"] >= 100]))
+    # with open(output_file, 'w') as file:
+    #     json.dump(sorted_dict, file, indent=4)
+
+directory_path = "/mnt/weka/peacock/wet-data/output/domain_list_non_toxic"
+output_file_path = "/mnt/weka/peacock/wet-data/output/merged_data.json"
+
+merged_data = merge_json_files(directory_path)
+save_merged_data(merged_data, output_file_path)

scripts/mined.csv

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scripts/mined_token_counts.csv

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scripts/myenv/lib/python3.10/site-packages/pip-22.0.2.dist-info/INSTALLER

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+pip

scripts/myenv/lib/python3.10/site-packages/pip-22.0.2.dist-info/LICENSE.txt

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+Copyright (c) 2008-present The pip developers (see AUTHORS.txt file)
+
+Permission is hereby granted, free of charge, to any person obtaining
+a copy of this software and associated documentation files (the
+"Software"), to deal in the Software without restriction, including
+without limitation the rights to use, copy, modify, merge, publish,
+distribute, sublicense, and/or sell copies of the Software, and to
+permit persons to whom the Software is furnished to do so, subject to
+the following conditions:
+
+The above copyright notice and this permission notice shall be
+included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
+NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
+LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
+OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
+WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

scripts/myenv/lib/python3.10/site-packages/pip-22.0.2.dist-info/METADATA

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+Metadata-Version: 2.1
+Name: pip
+Version: 22.0.2
+Summary: The PyPA recommended tool for installing Python packages.
+Home-page: https://pip.pypa.io/
+Author: The pip developers
+Author-email: [email protected]
+License: MIT
+Project-URL: Documentation, https://pip.pypa.io
+Project-URL: Source, https://github.com/pypa/pip
+Project-URL: Changelog, https://pip.pypa.io/en/stable/news/
+Platform: UNKNOWN
+Classifier: Development Status :: 5 - Production/Stable
+Classifier: Intended Audience :: Developers
+Classifier: License :: OSI Approved :: MIT License
+Classifier: Topic :: Software Development :: Build Tools
+Classifier: Programming Language :: Python
+Classifier: Programming Language :: Python :: 3
+Classifier: Programming Language :: Python :: 3 :: Only
+Classifier: Programming Language :: Python :: 3.7
+Classifier: Programming Language :: Python :: 3.8
+Classifier: Programming Language :: Python :: 3.9
+Classifier: Programming Language :: Python :: 3.10
+Classifier: Programming Language :: Python :: Implementation :: CPython
+Classifier: Programming Language :: Python :: Implementation :: PyPy
+Requires-Python: >=3.7
+License-File: LICENSE.txt
+
+pip - The Python Package Installer
+==================================
+
+.. image:: https://img.shields.io/pypi/v/pip.svg
+   :target: https://pypi.org/project/pip/
+
+.. image:: https://readthedocs.org/projects/pip/badge/?version=latest
+   :target: https://pip.pypa.io/en/latest
+
+pip is the `package installer`_ for Python. You can use pip to install packages from the `Python Package Index`_ and other indexes.
+
+Please take a look at our documentation for how to install and use pip:
+
+* `Installation`_
+* `Usage`_
+
+We release updates regularly, with a new version every 3 months. Find more details in our documentation:
+
+* `Release notes`_
+* `Release process`_
+
+In pip 20.3, we've `made a big improvement to the heart of pip`_; `learn more`_. We want your input, so `sign up for our user experience research studies`_ to help us do it right.
+
+**Note**: pip 21.0, in January 2021, removed Python 2 support, per pip's `Python 2 support policy`_. Please migrate to Python 3.
+
+If you find bugs, need help, or want to talk to the developers, please use our mailing lists or chat rooms:
+
+* `Issue tracking`_
+* `Discourse channel`_
+* `User IRC`_
+
+If you want to get involved head over to GitHub to get the source code, look at our development documentation and feel free to jump on the developer mailing lists and chat rooms:
+
+* `GitHub page`_
+* `Development documentation`_
+* `Development mailing list`_
+* `Development IRC`_
+
+Code of Conduct
+---------------
+
+Everyone interacting in the pip project's codebases, issue trackers, chat
+rooms, and mailing lists is expected to follow the `PSF Code of Conduct`_.
+
+.. _package installer: https://packaging.python.org/guides/tool-recommendations/
+.. _Python Package Index: https://pypi.org
+.. _Installation: https://pip.pypa.io/en/stable/installation/
+.. _Usage: https://pip.pypa.io/en/stable/
+.. _Release notes: https://pip.pypa.io/en/stable/news.html
+.. _Release process: https://pip.pypa.io/en/latest/development/release-process/
+.. _GitHub page: https://github.com/pypa/pip
+.. _Development documentation: https://pip.pypa.io/en/latest/development
+.. _made a big improvement to the heart of pip: https://pyfound.blogspot.com/2020/11/pip-20-3-new-resolver.html
+.. _learn more: https://pip.pypa.io/en/latest/user_guide/#changes-to-the-pip-dependency-resolver-in-20-3-2020
+.. _sign up for our user experience research studies: https://pyfound.blogspot.com/2020/03/new-pip-resolver-to-roll-out-this-year.html
+.. _Python 2 support policy: https://pip.pypa.io/en/latest/development/release-process/#python-2-support
+.. _Issue tracking: https://github.com/pypa/pip/issues
+.. _Discourse channel: https://discuss.python.org/c/packaging
+.. _Development mailing list: https://mail.python.org/mailman3/lists/distutils-sig.python.org/
+.. _User IRC: https://kiwiirc.com/nextclient/#ircs://irc.libera.chat:+6697/pypa
+.. _Development IRC: https://kiwiirc.com/nextclient/#ircs://irc.libera.chat:+6697/pypa-dev
+.. _PSF Code of Conduct: https://github.com/pypa/.github/blob/main/CODE_OF_CONDUCT.md
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scripts/myenv/lib/python3.10/site-packages/pip-22.0.2.dist-info/WHEEL

@@ -0,0 +1,5 @@
+Wheel-Version: 1.0
+Generator: bdist_wheel (0.37.1)
+Root-Is-Purelib: true
+Tag: py3-none-any
+

scripts/myenv/lib/python3.10/site-packages/pip-22.0.2.dist-info/entry_points.txt

@@ -0,0 +1,5 @@
+[console_scripts]
+pip = pip._internal.cli.main:main
+pip3 = pip._internal.cli.main:main
+pip3.10 = pip._internal.cli.main:main
+

scripts/myenv/lib/python3.10/site-packages/pip-22.0.2.dist-info/top_level.txt

@@ -0,0 +1 @@
+pip

scripts/myenv/lib/python3.10/site-packages/pkg_resources/_vendor/appdirs.py

@@ -0,0 +1,608 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+# Copyright (c) 2005-2010 ActiveState Software Inc.
+# Copyright (c) 2013 Eddy Petrișor
+
+"""Utilities for determining application-specific dirs.
+
+See <http://github.com/ActiveState/appdirs> for details and usage.
+"""
+# Dev Notes:
+# - MSDN on where to store app data files:
+#   http://support.microsoft.com/default.aspx?scid=kb;en-us;310294#XSLTH3194121123120121120120
+# - Mac OS X: http://developer.apple.com/documentation/MacOSX/Conceptual/BPFileSystem/index.html
+# - XDG spec for Un*x: http://standards.freedesktop.org/basedir-spec/basedir-spec-latest.html
+
+__version_info__ = (1, 4, 3)
+__version__ = '.'.join(map(str, __version_info__))
+
+
+import sys
+import os
+
+PY3 = sys.version_info[0] == 3
+
+if PY3:
+    unicode = str
+
+if sys.platform.startswith('java'):
+    import platform
+    os_name = platform.java_ver()[3][0]
+    if os_name.startswith('Windows'): # "Windows XP", "Windows 7", etc.
+        system = 'win32'
+    elif os_name.startswith('Mac'): # "Mac OS X", etc.
+        system = 'darwin'
+    else: # "Linux", "SunOS", "FreeBSD", etc.
+        # Setting this to "linux2" is not ideal, but only Windows or Mac
+        # are actually checked for and the rest of the module expects
+        # *sys.platform* style strings.
+        system = 'linux2'
+else:
+    system = sys.platform
+
+
+
+def user_data_dir(appname=None, appauthor=None, version=None, roaming=False):
+    r"""Return full path to the user-specific data dir for this application.
+
+        "appname" is the name of application.
+            If None, just the system directory is returned.
+        "appauthor" (only used on Windows) is the name of the
+            appauthor or distributing body for this application. Typically
+            it is the owning company name. This falls back to appname. You may
+            pass False to disable it.
+        "version" is an optional version path element to append to the
+            path. You might want to use this if you want multiple versions
+            of your app to be able to run independently. If used, this
+            would typically be "<major>.<minor>".
+            Only applied when appname is present.
+        "roaming" (boolean, default False) can be set True to use the Windows
+            roaming appdata directory. That means that for users on a Windows
+            network setup for roaming profiles, this user data will be
+            sync'd on login. See
+            <http://technet.microsoft.com/en-us/library/cc766489(WS.10).aspx>
+            for a discussion of issues.
+
+    Typical user data directories are:
+        Mac OS X:               ~/Library/Application Support/<AppName>
+        Unix:                   ~/.local/share/<AppName>    # or in $XDG_DATA_HOME, if defined
+        Win XP (not roaming):   C:\Documents and Settings\<username>\Application Data\<AppAuthor>\<AppName>
+        Win XP (roaming):       C:\Documents and Settings\<username>\Local Settings\Application Data\<AppAuthor>\<AppName>
+        Win 7  (not roaming):   C:\Users\<username>\AppData\Local\<AppAuthor>\<AppName>
+        Win 7  (roaming):       C:\Users\<username>\AppData\Roaming\<AppAuthor>\<AppName>
+
+    For Unix, we follow the XDG spec and support $XDG_DATA_HOME.
+    That means, by default "~/.local/share/<AppName>".
+    """
+    if system == "win32":
+        if appauthor is None:
+            appauthor = appname
+        const = roaming and "CSIDL_APPDATA" or "CSIDL_LOCAL_APPDATA"
+        path = os.path.normpath(_get_win_folder(const))
+        if appname:
+            if appauthor is not False:
+                path = os.path.join(path, appauthor, appname)
+            else:
+                path = os.path.join(path, appname)
+    elif system == 'darwin':
+        path = os.path.expanduser('~/Library/Application Support/')
+        if appname:
+            path = os.path.join(path, appname)
+    else:
+        path = os.getenv('XDG_DATA_HOME', os.path.expanduser("~/.local/share"))
+        if appname:
+            path = os.path.join(path, appname)
+    if appname and version:
+        path = os.path.join(path, version)
+    return path
+
+
+def site_data_dir(appname=None, appauthor=None, version=None, multipath=False):
+    r"""Return full path to the user-shared data dir for this application.
+
+        "appname" is the name of application.
+            If None, just the system directory is returned.
+        "appauthor" (only used on Windows) is the name of the
+            appauthor or distributing body for this application. Typically
+            it is the owning company name. This falls back to appname. You may
+            pass False to disable it.
+        "version" is an optional version path element to append to the
+            path. You might want to use this if you want multiple versions
+            of your app to be able to run independently. If used, this
+            would typically be "<major>.<minor>".
+            Only applied when appname is present.
+        "multipath" is an optional parameter only applicable to *nix
+            which indicates that the entire list of data dirs should be
+            returned. By default, the first item from XDG_DATA_DIRS is
+            returned, or '/usr/local/share/<AppName>',
+            if XDG_DATA_DIRS is not set
+
+    Typical site data directories are:
+        Mac OS X:   /Library/Application Support/<AppName>
+        Unix:       /usr/local/share/<AppName> or /usr/share/<AppName>
+        Win XP:     C:\Documents and Settings\All Users\Application Data\<AppAuthor>\<AppName>
+        Vista:      (Fail! "C:\ProgramData" is a hidden *system* directory on Vista.)
+        Win 7:      C:\ProgramData\<AppAuthor>\<AppName>   # Hidden, but writeable on Win 7.
+
+    For Unix, this is using the $XDG_DATA_DIRS[0] default.
+
+    WARNING: Do not use this on Windows. See the Vista-Fail note above for why.
+    """
+    if system == "win32":
+        if appauthor is None:
+            appauthor = appname
+        path = os.path.normpath(_get_win_folder("CSIDL_COMMON_APPDATA"))
+        if appname:
+            if appauthor is not False:
+                path = os.path.join(path, appauthor, appname)
+            else:
+                path = os.path.join(path, appname)
+    elif system == 'darwin':
+        path = os.path.expanduser('/Library/Application Support')
+        if appname:
+            path = os.path.join(path, appname)
+    else:
+        # XDG default for $XDG_DATA_DIRS
+        # only first, if multipath is False
+        path = os.getenv('XDG_DATA_DIRS',
+                         os.pathsep.join(['/usr/local/share', '/usr/share']))
+        pathlist = [os.path.expanduser(x.rstrip(os.sep)) for x in path.split(os.pathsep)]
+        if appname:
+            if version:
+                appname = os.path.join(appname, version)
+            pathlist = [os.sep.join([x, appname]) for x in pathlist]
+
+        if multipath:
+            path = os.pathsep.join(pathlist)
+        else:
+            path = pathlist[0]
+        return path
+
+    if appname and version:
+        path = os.path.join(path, version)
+    return path
+
+
+def user_config_dir(appname=None, appauthor=None, version=None, roaming=False):
+    r"""Return full path to the user-specific config dir for this application.
+
+        "appname" is the name of application.
+            If None, just the system directory is returned.
+        "appauthor" (only used on Windows) is the name of the
+            appauthor or distributing body for this application. Typically
+            it is the owning company name. This falls back to appname. You may
+            pass False to disable it.
+        "version" is an optional version path element to append to the
+            path. You might want to use this if you want multiple versions
+            of your app to be able to run independently. If used, this
+            would typically be "<major>.<minor>".
+            Only applied when appname is present.
+        "roaming" (boolean, default False) can be set True to use the Windows
+            roaming appdata directory. That means that for users on a Windows
+            network setup for roaming profiles, this user data will be
+            sync'd on login. See
+            <http://technet.microsoft.com/en-us/library/cc766489(WS.10).aspx>
+            for a discussion of issues.
+
+    Typical user config directories are:
+        Mac OS X:               same as user_data_dir
+        Unix:                   ~/.config/<AppName>     # or in $XDG_CONFIG_HOME, if defined
+        Win *:                  same as user_data_dir
+
+    For Unix, we follow the XDG spec and support $XDG_CONFIG_HOME.
+    That means, by default "~/.config/<AppName>".
+    """
+    if system in ["win32", "darwin"]:
+        path = user_data_dir(appname, appauthor, None, roaming)
+    else:
+        path = os.getenv('XDG_CONFIG_HOME', os.path.expanduser("~/.config"))
+        if appname:
+            path = os.path.join(path, appname)
+    if appname and version:
+        path = os.path.join(path, version)
+    return path
+
+
+def site_config_dir(appname=None, appauthor=None, version=None, multipath=False):
+    r"""Return full path to the user-shared data dir for this application.
+
+        "appname" is the name of application.
+            If None, just the system directory is returned.
+        "appauthor" (only used on Windows) is the name of the
+            appauthor or distributing body for this application. Typically
+            it is the owning company name. This falls back to appname. You may
+            pass False to disable it.
+        "version" is an optional version path element to append to the
+            path. You might want to use this if you want multiple versions
+            of your app to be able to run independently. If used, this
+            would typically be "<major>.<minor>".
+            Only applied when appname is present.
+        "multipath" is an optional parameter only applicable to *nix
+            which indicates that the entire list of config dirs should be
+            returned. By default, the first item from XDG_CONFIG_DIRS is
+            returned, or '/etc/xdg/<AppName>', if XDG_CONFIG_DIRS is not set
+
+    Typical site config directories are:
+        Mac OS X:   same as site_data_dir
+        Unix:       /etc/xdg/<AppName> or $XDG_CONFIG_DIRS[i]/<AppName> for each value in
+                    $XDG_CONFIG_DIRS
+        Win *:      same as site_data_dir
+        Vista:      (Fail! "C:\ProgramData" is a hidden *system* directory on Vista.)
+
+    For Unix, this is using the $XDG_CONFIG_DIRS[0] default, if multipath=False
+
+    WARNING: Do not use this on Windows. See the Vista-Fail note above for why.
+    """
+    if system in ["win32", "darwin"]:
+        path = site_data_dir(appname, appauthor)
+        if appname and version:
+            path = os.path.join(path, version)
+    else:
+        # XDG default for $XDG_CONFIG_DIRS
+        # only first, if multipath is False
+        path = os.getenv('XDG_CONFIG_DIRS', '/etc/xdg')
+        pathlist = [os.path.expanduser(x.rstrip(os.sep)) for x in path.split(os.pathsep)]
+        if appname:
+            if version:
+                appname = os.path.join(appname, version)
+            pathlist = [os.sep.join([x, appname]) for x in pathlist]
+
+        if multipath:
+            path = os.pathsep.join(pathlist)
+        else:
+            path = pathlist[0]
+    return path
+
+
+def user_cache_dir(appname=None, appauthor=None, version=None, opinion=True):
+    r"""Return full path to the user-specific cache dir for this application.
+
+        "appname" is the name of application.
+            If None, just the system directory is returned.
+        "appauthor" (only used on Windows) is the name of the
+            appauthor or distributing body for this application. Typically
+            it is the owning company name. This falls back to appname. You may
+            pass False to disable it.
+        "version" is an optional version path element to append to the
+            path. You might want to use this if you want multiple versions
+            of your app to be able to run independently. If used, this
+            would typically be "<major>.<minor>".
+            Only applied when appname is present.
+        "opinion" (boolean) can be False to disable the appending of
+            "Cache" to the base app data dir for Windows. See
+            discussion below.
+
+    Typical user cache directories are:
+        Mac OS X:   ~/Library/Caches/<AppName>
+        Unix:       ~/.cache/<AppName> (XDG default)
+        Win XP:     C:\Documents and Settings\<username>\Local Settings\Application Data\<AppAuthor>\<AppName>\Cache
+        Vista:      C:\Users\<username>\AppData\Local\<AppAuthor>\<AppName>\Cache
+
+    On Windows the only suggestion in the MSDN docs is that local settings go in
+    the `CSIDL_LOCAL_APPDATA` directory. This is identical to the non-roaming
+    app data dir (the default returned by `user_data_dir` above). Apps typically
+    put cache data somewhere *under* the given dir here. Some examples:
+        ...\Mozilla\Firefox\Profiles\<ProfileName>\Cache
+        ...\Acme\SuperApp\Cache\1.0
+    OPINION: This function appends "Cache" to the `CSIDL_LOCAL_APPDATA` value.
+    This can be disabled with the `opinion=False` option.
+    """
+    if system == "win32":
+        if appauthor is None:
+            appauthor = appname
+        path = os.path.normpath(_get_win_folder("CSIDL_LOCAL_APPDATA"))
+        if appname:
+            if appauthor is not False:
+                path = os.path.join(path, appauthor, appname)
+            else:
+                path = os.path.join(path, appname)
+            if opinion:
+                path = os.path.join(path, "Cache")
+    elif system == 'darwin':
+        path = os.path.expanduser('~/Library/Caches')
+        if appname:
+            path = os.path.join(path, appname)
+    else:
+        path = os.getenv('XDG_CACHE_HOME', os.path.expanduser('~/.cache'))
+        if appname:
+            path = os.path.join(path, appname)
+    if appname and version:
+        path = os.path.join(path, version)
+    return path
+
+
+def user_state_dir(appname=None, appauthor=None, version=None, roaming=False):
+    r"""Return full path to the user-specific state dir for this application.
+
+        "appname" is the name of application.
+            If None, just the system directory is returned.
+        "appauthor" (only used on Windows) is the name of the
+            appauthor or distributing body for this application. Typically
+            it is the owning company name. This falls back to appname. You may
+            pass False to disable it.
+        "version" is an optional version path element to append to the
+            path. You might want to use this if you want multiple versions
+            of your app to be able to run independently. If used, this
+            would typically be "<major>.<minor>".
+            Only applied when appname is present.
+        "roaming" (boolean, default False) can be set True to use the Windows
+            roaming appdata directory. That means that for users on a Windows
+            network setup for roaming profiles, this user data will be
+            sync'd on login. See
+            <http://technet.microsoft.com/en-us/library/cc766489(WS.10).aspx>
+            for a discussion of issues.
+
+    Typical user state directories are:
+        Mac OS X:  same as user_data_dir
+        Unix:      ~/.local/state/<AppName>   # or in $XDG_STATE_HOME, if defined
+        Win *:     same as user_data_dir
+
+    For Unix, we follow this Debian proposal <https://wiki.debian.org/XDGBaseDirectorySpecification#state>
+    to extend the XDG spec and support $XDG_STATE_HOME.
+
+    That means, by default "~/.local/state/<AppName>".
+    """
+    if system in ["win32", "darwin"]:
+        path = user_data_dir(appname, appauthor, None, roaming)
+    else:
+        path = os.getenv('XDG_STATE_HOME', os.path.expanduser("~/.local/state"))
+        if appname:
+            path = os.path.join(path, appname)
+    if appname and version:
+        path = os.path.join(path, version)
+    return path
+
+
+def user_log_dir(appname=None, appauthor=None, version=None, opinion=True):
+    r"""Return full path to the user-specific log dir for this application.
+
+        "appname" is the name of application.
+            If None, just the system directory is returned.
+        "appauthor" (only used on Windows) is the name of the
+            appauthor or distributing body for this application. Typically
+            it is the owning company name. This falls back to appname. You may
+            pass False to disable it.
+        "version" is an optional version path element to append to the
+            path. You might want to use this if you want multiple versions
+            of your app to be able to run independently. If used, this
+            would typically be "<major>.<minor>".
+            Only applied when appname is present.
+        "opinion" (boolean) can be False to disable the appending of
+            "Logs" to the base app data dir for Windows, and "log" to the
+            base cache dir for Unix. See discussion below.
+
+    Typical user log directories are:
+        Mac OS X:   ~/Library/Logs/<AppName>
+        Unix:       ~/.cache/<AppName>/log  # or under $XDG_CACHE_HOME if defined
+        Win XP:     C:\Documents and Settings\<username>\Local Settings\Application Data\<AppAuthor>\<AppName>\Logs
+        Vista:      C:\Users\<username>\AppData\Local\<AppAuthor>\<AppName>\Logs
+
+    On Windows the only suggestion in the MSDN docs is that local settings
+    go in the `CSIDL_LOCAL_APPDATA` directory. (Note: I'm interested in
+    examples of what some windows apps use for a logs dir.)
+
+    OPINION: This function appends "Logs" to the `CSIDL_LOCAL_APPDATA`
+    value for Windows and appends "log" to the user cache dir for Unix.
+    This can be disabled with the `opinion=False` option.
+    """
+    if system == "darwin":
+        path = os.path.join(
+            os.path.expanduser('~/Library/Logs'),
+            appname)
+    elif system == "win32":
+        path = user_data_dir(appname, appauthor, version)
+        version = False
+        if opinion:
+            path = os.path.join(path, "Logs")
+    else:
+        path = user_cache_dir(appname, appauthor, version)
+        version = False
+        if opinion:
+            path = os.path.join(path, "log")
+    if appname and version:
+        path = os.path.join(path, version)
+    return path
+
+
+class AppDirs(object):
+    """Convenience wrapper for getting application dirs."""
+    def __init__(self, appname=None, appauthor=None, version=None,
+            roaming=False, multipath=False):
+        self.appname = appname
+        self.appauthor = appauthor
+        self.version = version
+        self.roaming = roaming
+        self.multipath = multipath
+
+    @property
+    def user_data_dir(self):
+        return user_data_dir(self.appname, self.appauthor,
+                             version=self.version, roaming=self.roaming)
+
+    @property
+    def site_data_dir(self):
+        return site_data_dir(self.appname, self.appauthor,
+                             version=self.version, multipath=self.multipath)
+
+    @property
+    def user_config_dir(self):
+        return user_config_dir(self.appname, self.appauthor,
+                               version=self.version, roaming=self.roaming)
+
+    @property
+    def site_config_dir(self):
+        return site_config_dir(self.appname, self.appauthor,
+                             version=self.version, multipath=self.multipath)
+
+    @property
+    def user_cache_dir(self):
+        return user_cache_dir(self.appname, self.appauthor,
+                              version=self.version)
+
+    @property
+    def user_state_dir(self):
+        return user_state_dir(self.appname, self.appauthor,
+                              version=self.version)
+
+    @property
+    def user_log_dir(self):
+        return user_log_dir(self.appname, self.appauthor,
+                            version=self.version)
+
+
+#---- internal support stuff
+
+def _get_win_folder_from_registry(csidl_name):
+    """This is a fallback technique at best. I'm not sure if using the
+    registry for this guarantees us the correct answer for all CSIDL_*
+    names.
+    """
+    if PY3:
+      import winreg as _winreg
+    else:
+      import _winreg
+
+    shell_folder_name = {
+        "CSIDL_APPDATA": "AppData",
+        "CSIDL_COMMON_APPDATA": "Common AppData",
+        "CSIDL_LOCAL_APPDATA": "Local AppData",
+    }[csidl_name]
+
+    key = _winreg.OpenKey(
+        _winreg.HKEY_CURRENT_USER,
+        r"Software\Microsoft\Windows\CurrentVersion\Explorer\Shell Folders"
+    )
+    dir, type = _winreg.QueryValueEx(key, shell_folder_name)
+    return dir
+
+
+def _get_win_folder_with_pywin32(csidl_name):
+    from win32com.shell import shellcon, shell
+    dir = shell.SHGetFolderPath(0, getattr(shellcon, csidl_name), 0, 0)
+    # Try to make this a unicode path because SHGetFolderPath does
+    # not return unicode strings when there is unicode data in the
+    # path.
+    try:
+        dir = unicode(dir)
+
+        # Downgrade to short path name if have highbit chars. See
+        # <http://bugs.activestate.com/show_bug.cgi?id=85099>.
+        has_high_char = False
+        for c in dir:
+            if ord(c) > 255:
+                has_high_char = True
+                break
+        if has_high_char:
+            try:
+                import win32api
+                dir = win32api.GetShortPathName(dir)
+            except ImportError:
+                pass
+    except UnicodeError:
+        pass
+    return dir
+
+
+def _get_win_folder_with_ctypes(csidl_name):
+    import ctypes
+
+    csidl_const = {
+        "CSIDL_APPDATA": 26,
+        "CSIDL_COMMON_APPDATA": 35,
+        "CSIDL_LOCAL_APPDATA": 28,
+    }[csidl_name]
+
+    buf = ctypes.create_unicode_buffer(1024)
+    ctypes.windll.shell32.SHGetFolderPathW(None, csidl_const, None, 0, buf)
+
+    # Downgrade to short path name if have highbit chars. See
+    # <http://bugs.activestate.com/show_bug.cgi?id=85099>.
+    has_high_char = False
+    for c in buf:
+        if ord(c) > 255:
+            has_high_char = True
+            break
+    if has_high_char:
+        buf2 = ctypes.create_unicode_buffer(1024)
+        if ctypes.windll.kernel32.GetShortPathNameW(buf.value, buf2, 1024):
+            buf = buf2
+
+    return buf.value
+
+def _get_win_folder_with_jna(csidl_name):
+    import array
+    from com.sun import jna
+    from com.sun.jna.platform import win32
+
+    buf_size = win32.WinDef.MAX_PATH * 2
+    buf = array.zeros('c', buf_size)
+    shell = win32.Shell32.INSTANCE
+    shell.SHGetFolderPath(None, getattr(win32.ShlObj, csidl_name), None, win32.ShlObj.SHGFP_TYPE_CURRENT, buf)
+    dir = jna.Native.toString(buf.tostring()).rstrip("\0")
+
+    # Downgrade to short path name if have highbit chars. See
+    # <http://bugs.activestate.com/show_bug.cgi?id=85099>.
+    has_high_char = False
+    for c in dir:
+        if ord(c) > 255:
+            has_high_char = True
+            break
+    if has_high_char:
+        buf = array.zeros('c', buf_size)
+        kernel = win32.Kernel32.INSTANCE
+        if kernel.GetShortPathName(dir, buf, buf_size):
+            dir = jna.Native.toString(buf.tostring()).rstrip("\0")
+
+    return dir
+
+if system == "win32":
+    try:
+        import win32com.shell
+        _get_win_folder = _get_win_folder_with_pywin32
+    except ImportError:
+        try:
+            from ctypes import windll
+            _get_win_folder = _get_win_folder_with_ctypes
+        except ImportError:
+            try:
+                import com.sun.jna
+                _get_win_folder = _get_win_folder_with_jna
+            except ImportError:
+                _get_win_folder = _get_win_folder_from_registry
+
+
+#---- self test code
+
+if __name__ == "__main__":
+    appname = "MyApp"
+    appauthor = "MyCompany"
+
+    props = ("user_data_dir",
+             "user_config_dir",
+             "user_cache_dir",
+             "user_state_dir",
+             "user_log_dir",
+             "site_data_dir",
+             "site_config_dir")
+
+    print("-- app dirs %s --" % __version__)
+
+    print("-- app dirs (with optional 'version')")
+    dirs = AppDirs(appname, appauthor, version="1.0")
+    for prop in props:
+        print("%s: %s" % (prop, getattr(dirs, prop)))
+
+    print("\n-- app dirs (without optional 'version')")
+    dirs = AppDirs(appname, appauthor)
+    for prop in props:
+        print("%s: %s" % (prop, getattr(dirs, prop)))
+
+    print("\n-- app dirs (without optional 'appauthor')")
+    dirs = AppDirs(appname)
+    for prop in props:
+        print("%s: %s" % (prop, getattr(dirs, prop)))
+
+    print("\n-- app dirs (with disabled 'appauthor')")
+    dirs = AppDirs(appname, appauthor=False)
+    for prop in props:
+        print("%s: %s" % (prop, getattr(dirs, prop)))

scripts/myenv/lib/python3.10/site-packages/pkg_resources/_vendor/packaging/__about__.py

@@ -0,0 +1,26 @@
+# This file is dual licensed under the terms of the Apache License, Version
+# 2.0, and the BSD License. See the LICENSE file in the root of this repository
+# for complete details.
+
+__all__ = [
+    "__title__",
+    "__summary__",
+    "__uri__",
+    "__version__",
+    "__author__",
+    "__email__",
+    "__license__",
+    "__copyright__",
+]
+
+__title__ = "packaging"
+__summary__ = "Core utilities for Python packages"
+__uri__ = "https://github.com/pypa/packaging"
+
+__version__ = "21.2"
+
+__author__ = "Donald Stufft and individual contributors"
+__email__ = "[email protected]"
+
+__license__ = "BSD-2-Clause or Apache-2.0"
+__copyright__ = "2014-2019 %s" % __author__

scripts/myenv/lib/python3.10/site-packages/pkg_resources/_vendor/packaging/__init__.py

@@ -0,0 +1,25 @@
+# This file is dual licensed under the terms of the Apache License, Version
+# 2.0, and the BSD License. See the LICENSE file in the root of this repository
+# for complete details.
+
+from .__about__ import (
+    __author__,
+    __copyright__,
+    __email__,
+    __license__,
+    __summary__,
+    __title__,
+    __uri__,
+    __version__,
+)
+
+__all__ = [
+    "__title__",
+    "__summary__",
+    "__uri__",
+    "__version__",
+    "__author__",
+    "__email__",
+    "__license__",
+    "__copyright__",
+]

scripts/myenv/lib/python3.10/site-packages/pkg_resources/_vendor/packaging/_manylinux.py

@@ -0,0 +1,301 @@
+import collections
+import functools
+import os
+import re
+import struct
+import sys
+import warnings
+from typing import IO, Dict, Iterator, NamedTuple, Optional, Tuple
+
+
+# Python does not provide platform information at sufficient granularity to
+# identify the architecture of the running executable in some cases, so we
+# determine it dynamically by reading the information from the running
+# process. This only applies on Linux, which uses the ELF format.
+class _ELFFileHeader:
+    # https://en.wikipedia.org/wiki/Executable_and_Linkable_Format#File_header
+    class _InvalidELFFileHeader(ValueError):
+        """
+        An invalid ELF file header was found.
+        """
+
+    ELF_MAGIC_NUMBER = 0x7F454C46
+    ELFCLASS32 = 1
+    ELFCLASS64 = 2
+    ELFDATA2LSB = 1
+    ELFDATA2MSB = 2
+    EM_386 = 3
+    EM_S390 = 22
+    EM_ARM = 40
+    EM_X86_64 = 62
+    EF_ARM_ABIMASK = 0xFF000000
+    EF_ARM_ABI_VER5 = 0x05000000
+    EF_ARM_ABI_FLOAT_HARD = 0x00000400
+
+    def __init__(self, file: IO[bytes]) -> None:
+        def unpack(fmt: str) -> int:
+            try:
+                data = file.read(struct.calcsize(fmt))
+                result: Tuple[int, ...] = struct.unpack(fmt, data)
+            except struct.error:
+                raise _ELFFileHeader._InvalidELFFileHeader()
+            return result[0]
+
+        self.e_ident_magic = unpack(">I")
+        if self.e_ident_magic != self.ELF_MAGIC_NUMBER:
+            raise _ELFFileHeader._InvalidELFFileHeader()
+        self.e_ident_class = unpack("B")
+        if self.e_ident_class not in {self.ELFCLASS32, self.ELFCLASS64}:
+            raise _ELFFileHeader._InvalidELFFileHeader()
+        self.e_ident_data = unpack("B")
+        if self.e_ident_data not in {self.ELFDATA2LSB, self.ELFDATA2MSB}:
+            raise _ELFFileHeader._InvalidELFFileHeader()
+        self.e_ident_version = unpack("B")
+        self.e_ident_osabi = unpack("B")
+        self.e_ident_abiversion = unpack("B")
+        self.e_ident_pad = file.read(7)
+        format_h = "<H" if self.e_ident_data == self.ELFDATA2LSB else ">H"
+        format_i = "<I" if self.e_ident_data == self.ELFDATA2LSB else ">I"
+        format_q = "<Q" if self.e_ident_data == self.ELFDATA2LSB else ">Q"
+        format_p = format_i if self.e_ident_class == self.ELFCLASS32 else format_q
+        self.e_type = unpack(format_h)
+        self.e_machine = unpack(format_h)
+        self.e_version = unpack(format_i)
+        self.e_entry = unpack(format_p)
+        self.e_phoff = unpack(format_p)
+        self.e_shoff = unpack(format_p)
+        self.e_flags = unpack(format_i)
+        self.e_ehsize = unpack(format_h)
+        self.e_phentsize = unpack(format_h)
+        self.e_phnum = unpack(format_h)
+        self.e_shentsize = unpack(format_h)
+        self.e_shnum = unpack(format_h)
+        self.e_shstrndx = unpack(format_h)
+
+
+def _get_elf_header() -> Optional[_ELFFileHeader]:
+    try:
+        with open(sys.executable, "rb") as f:
+            elf_header = _ELFFileHeader(f)
+    except (OSError, TypeError, _ELFFileHeader._InvalidELFFileHeader):
+        return None
+    return elf_header
+
+
+def _is_linux_armhf() -> bool:
+    # hard-float ABI can be detected from the ELF header of the running
+    # process
+    # https://static.docs.arm.com/ihi0044/g/aaelf32.pdf
+    elf_header = _get_elf_header()
+    if elf_header is None:
+        return False
+    result = elf_header.e_ident_class == elf_header.ELFCLASS32
+    result &= elf_header.e_ident_data == elf_header.ELFDATA2LSB
+    result &= elf_header.e_machine == elf_header.EM_ARM
+    result &= (
+        elf_header.e_flags & elf_header.EF_ARM_ABIMASK
+    ) == elf_header.EF_ARM_ABI_VER5
+    result &= (
+        elf_header.e_flags & elf_header.EF_ARM_ABI_FLOAT_HARD
+    ) == elf_header.EF_ARM_ABI_FLOAT_HARD
+    return result
+
+
+def _is_linux_i686() -> bool:
+    elf_header = _get_elf_header()
+    if elf_header is None:
+        return False
+    result = elf_header.e_ident_class == elf_header.ELFCLASS32
+    result &= elf_header.e_ident_data == elf_header.ELFDATA2LSB
+    result &= elf_header.e_machine == elf_header.EM_386
+    return result
+
+
+def _have_compatible_abi(arch: str) -> bool:
+    if arch == "armv7l":
+        return _is_linux_armhf()
+    if arch == "i686":
+        return _is_linux_i686()
+    return arch in {"x86_64", "aarch64", "ppc64", "ppc64le", "s390x"}
+
+
+# If glibc ever changes its major version, we need to know what the last
+# minor version was, so we can build the complete list of all versions.
+# For now, guess what the highest minor version might be, assume it will
+# be 50 for testing. Once this actually happens, update the dictionary
+# with the actual value.
+_LAST_GLIBC_MINOR: Dict[int, int] = collections.defaultdict(lambda: 50)
+
+
+class _GLibCVersion(NamedTuple):
+    major: int
+    minor: int
+
+
+def _glibc_version_string_confstr() -> Optional[str]:
+    """
+    Primary implementation of glibc_version_string using os.confstr.
+    """
+    # os.confstr is quite a bit faster than ctypes.DLL. It's also less likely
+    # to be broken or missing. This strategy is used in the standard library
+    # platform module.
+    # https://github.com/python/cpython/blob/fcf1d003bf4f0100c/Lib/platform.py#L175-L183
+    try:
+        # os.confstr("CS_GNU_LIBC_VERSION") returns a string like "glibc 2.17".
+        version_string = os.confstr("CS_GNU_LIBC_VERSION")
+        assert version_string is not None
+        _, version = version_string.split()
+    except (AssertionError, AttributeError, OSError, ValueError):
+        # os.confstr() or CS_GNU_LIBC_VERSION not available (or a bad value)...
+        return None
+    return version
+
+
+def _glibc_version_string_ctypes() -> Optional[str]:
+    """
+    Fallback implementation of glibc_version_string using ctypes.
+    """
+    try:
+        import ctypes
+    except ImportError:
+        return None
+
+    # ctypes.CDLL(None) internally calls dlopen(NULL), and as the dlopen
+    # manpage says, "If filename is NULL, then the returned handle is for the
+    # main program". This way we can let the linker do the work to figure out
+    # which libc our process is actually using.
+    #
+    # We must also handle the special case where the executable is not a
+    # dynamically linked executable. This can occur when using musl libc,
+    # for example. In this situation, dlopen() will error, leading to an
+    # OSError. Interestingly, at least in the case of musl, there is no
+    # errno set on the OSError. The single string argument used to construct
+    # OSError comes from libc itself and is therefore not portable to
+    # hard code here. In any case, failure to call dlopen() means we
+    # can proceed, so we bail on our attempt.
+    try:
+        process_namespace = ctypes.CDLL(None)
+    except OSError:
+        return None
+
+    try:
+        gnu_get_libc_version = process_namespace.gnu_get_libc_version
+    except AttributeError:
+        # Symbol doesn't exist -> therefore, we are not linked to
+        # glibc.
+        return None
+
+    # Call gnu_get_libc_version, which returns a string like "2.5"
+    gnu_get_libc_version.restype = ctypes.c_char_p
+    version_str: str = gnu_get_libc_version()
+    # py2 / py3 compatibility:
+    if not isinstance(version_str, str):
+        version_str = version_str.decode("ascii")
+
+    return version_str
+
+
+def _glibc_version_string() -> Optional[str]:
+    """Returns glibc version string, or None if not using glibc."""
+    return _glibc_version_string_confstr() or _glibc_version_string_ctypes()
+
+
+def _parse_glibc_version(version_str: str) -> Tuple[int, int]:
+    """Parse glibc version.
+
+    We use a regexp instead of str.split because we want to discard any
+    random junk that might come after the minor version -- this might happen
+    in patched/forked versions of glibc (e.g. Linaro's version of glibc
+    uses version strings like "2.20-2014.11"). See gh-3588.
+    """
+    m = re.match(r"(?P<major>[0-9]+)\.(?P<minor>[0-9]+)", version_str)
+    if not m:
+        warnings.warn(
+            "Expected glibc version with 2 components major.minor,"
+            " got: %s" % version_str,
+            RuntimeWarning,
+        )
+        return -1, -1
+    return int(m.group("major")), int(m.group("minor"))
+
+
+@functools.lru_cache()
+def _get_glibc_version() -> Tuple[int, int]:
+    version_str = _glibc_version_string()
+    if version_str is None:
+        return (-1, -1)
+    return _parse_glibc_version(version_str)
+
+
+# From PEP 513, PEP 600
+def _is_compatible(name: str, arch: str, version: _GLibCVersion) -> bool:
+    sys_glibc = _get_glibc_version()
+    if sys_glibc < version:
+        return False
+    # Check for presence of _manylinux module.
+    try:
+        import _manylinux  # noqa
+    except ImportError:
+        return True
+    if hasattr(_manylinux, "manylinux_compatible"):
+        result = _manylinux.manylinux_compatible(version[0], version[1], arch)
+        if result is not None:
+            return bool(result)
+        return True
+    if version == _GLibCVersion(2, 5):
+        if hasattr(_manylinux, "manylinux1_compatible"):
+            return bool(_manylinux.manylinux1_compatible)
+    if version == _GLibCVersion(2, 12):
+        if hasattr(_manylinux, "manylinux2010_compatible"):
+            return bool(_manylinux.manylinux2010_compatible)
+    if version == _GLibCVersion(2, 17):
+        if hasattr(_manylinux, "manylinux2014_compatible"):
+            return bool(_manylinux.manylinux2014_compatible)
+    return True
+
+
+_LEGACY_MANYLINUX_MAP = {
+    # CentOS 7 w/ glibc 2.17 (PEP 599)
+    (2, 17): "manylinux2014",
+    # CentOS 6 w/ glibc 2.12 (PEP 571)
+    (2, 12): "manylinux2010",
+    # CentOS 5 w/ glibc 2.5 (PEP 513)
+    (2, 5): "manylinux1",
+}
+
+
+def platform_tags(linux: str, arch: str) -> Iterator[str]:
+    if not _have_compatible_abi(arch):
+        return
+    # Oldest glibc to be supported regardless of architecture is (2, 17).
+    too_old_glibc2 = _GLibCVersion(2, 16)
+    if arch in {"x86_64", "i686"}:
+        # On x86/i686 also oldest glibc to be supported is (2, 5).
+        too_old_glibc2 = _GLibCVersion(2, 4)
+    current_glibc = _GLibCVersion(*_get_glibc_version())
+    glibc_max_list = [current_glibc]
+    # We can assume compatibility across glibc major versions.
+    # https://sourceware.org/bugzilla/show_bug.cgi?id=24636
+    #
+    # Build a list of maximum glibc versions so that we can
+    # output the canonical list of all glibc from current_glibc
+    # down to too_old_glibc2, including all intermediary versions.
+    for glibc_major in range(current_glibc.major - 1, 1, -1):
+        glibc_minor = _LAST_GLIBC_MINOR[glibc_major]
+        glibc_max_list.append(_GLibCVersion(glibc_major, glibc_minor))
+    for glibc_max in glibc_max_list:
+        if glibc_max.major == too_old_glibc2.major:
+            min_minor = too_old_glibc2.minor
+        else:
+            # For other glibc major versions oldest supported is (x, 0).
+            min_minor = -1
+        for glibc_minor in range(glibc_max.minor, min_minor, -1):
+            glibc_version = _GLibCVersion(glibc_max.major, glibc_minor)
+            tag = "manylinux_{}_{}".format(*glibc_version)
+            if _is_compatible(tag, arch, glibc_version):
+                yield linux.replace("linux", tag)
+            # Handle the legacy manylinux1, manylinux2010, manylinux2014 tags.
+            if glibc_version in _LEGACY_MANYLINUX_MAP:
+                legacy_tag = _LEGACY_MANYLINUX_MAP[glibc_version]
+                if _is_compatible(legacy_tag, arch, glibc_version):
+                    yield linux.replace("linux", legacy_tag)

scripts/myenv/lib/python3.10/site-packages/pkg_resources/_vendor/packaging/_musllinux.py

@@ -0,0 +1,136 @@
+"""PEP 656 support.
+
+This module implements logic to detect if the currently running Python is
+linked against musl, and what musl version is used.
+"""
+
+import contextlib
+import functools
+import operator
+import os
+import re
+import struct
+import subprocess
+import sys
+from typing import IO, Iterator, NamedTuple, Optional, Tuple
+
+
+def _read_unpacked(f: IO[bytes], fmt: str) -> Tuple[int, ...]:
+    return struct.unpack(fmt, f.read(struct.calcsize(fmt)))
+
+
+def _parse_ld_musl_from_elf(f: IO[bytes]) -> Optional[str]:
+    """Detect musl libc location by parsing the Python executable.
+
+    Based on: https://gist.github.com/lyssdod/f51579ae8d93c8657a5564aefc2ffbca
+    ELF header: https://refspecs.linuxfoundation.org/elf/gabi4+/ch4.eheader.html
+    """
+    f.seek(0)
+    try:
+        ident = _read_unpacked(f, "16B")
+    except struct.error:
+        return None
+    if ident[:4] != tuple(b"\x7fELF"):  # Invalid magic, not ELF.
+        return None
+    f.seek(struct.calcsize("HHI"), 1)  # Skip file type, machine, and version.
+
+    try:
+        # e_fmt: Format for program header.
+        # p_fmt: Format for section header.
+        # p_idx: Indexes to find p_type, p_offset, and p_filesz.
+        e_fmt, p_fmt, p_idx = {
+            1: ("IIIIHHH", "IIIIIIII", (0, 1, 4)),  # 32-bit.
+            2: ("QQQIHHH", "IIQQQQQQ", (0, 2, 5)),  # 64-bit.
+        }[ident[4]]
+    except KeyError:
+        return None
+    else:
+        p_get = operator.itemgetter(*p_idx)
+
+    # Find the interpreter section and return its content.
+    try:
+        _, e_phoff, _, _, _, e_phentsize, e_phnum = _read_unpacked(f, e_fmt)
+    except struct.error:
+        return None
+    for i in range(e_phnum + 1):
+        f.seek(e_phoff + e_phentsize * i)
+        try:
+            p_type, p_offset, p_filesz = p_get(_read_unpacked(f, p_fmt))
+        except struct.error:
+            return None
+        if p_type != 3:  # Not PT_INTERP.
+            continue
+        f.seek(p_offset)
+        interpreter = os.fsdecode(f.read(p_filesz)).strip("\0")
+        if "musl" not in interpreter:
+            return None
+        return interpreter
+    return None
+
+
+class _MuslVersion(NamedTuple):
+    major: int
+    minor: int
+
+
+def _parse_musl_version(output: str) -> Optional[_MuslVersion]:
+    lines = [n for n in (n.strip() for n in output.splitlines()) if n]
+    if len(lines) < 2 or lines[0][:4] != "musl":
+        return None
+    m = re.match(r"Version (\d+)\.(\d+)", lines[1])
+    if not m:
+        return None
+    return _MuslVersion(major=int(m.group(1)), minor=int(m.group(2)))
+
+
+@functools.lru_cache()
+def _get_musl_version(executable: str) -> Optional[_MuslVersion]:
+    """Detect currently-running musl runtime version.
+
+    This is done by checking the specified executable's dynamic linking
+    information, and invoking the loader to parse its output for a version
+    string. If the loader is musl, the output would be something like::
+
+        musl libc (x86_64)
+        Version 1.2.2
+        Dynamic Program Loader
+    """
+    with contextlib.ExitStack() as stack:
+        try:
+            f = stack.enter_context(open(executable, "rb"))
+        except IOError:
+            return None
+        ld = _parse_ld_musl_from_elf(f)
+    if not ld:
+        return None
+    proc = subprocess.run([ld], stderr=subprocess.PIPE, universal_newlines=True)
+    return _parse_musl_version(proc.stderr)
+
+
+def platform_tags(arch: str) -> Iterator[str]:
+    """Generate musllinux tags compatible to the current platform.
+
+    :param arch: Should be the part of platform tag after the ``linux_``
+        prefix, e.g. ``x86_64``. The ``linux_`` prefix is assumed as a
+        prerequisite for the current platform to be musllinux-compatible.
+
+    :returns: An iterator of compatible musllinux tags.
+    """
+    sys_musl = _get_musl_version(sys.executable)
+    if sys_musl is None:  # Python not dynamically linked against musl.
+        return
+    for minor in range(sys_musl.minor, -1, -1):
+        yield f"musllinux_{sys_musl.major}_{minor}_{arch}"
+
+
+if __name__ == "__main__":  # pragma: no cover
+    import sysconfig
+
+    plat = sysconfig.get_platform()
+    assert plat.startswith("linux-"), "not linux"
+
+    print("plat:", plat)
+    print("musl:", _get_musl_version(sys.executable))
+    print("tags:", end=" ")
+    for t in platform_tags(re.sub(r"[.-]", "_", plat.split("-", 1)[-1])):
+        print(t, end="\n      ")