<jupyter_start><jupyter_text>Drive üzerine indirme yapmaGoogle drive dosya sistemini colab dosya sistemine bağlama ardından verilen yoldaki dosyayı istenen drive yoluna indirme<jupyter_code>#@markdown ### Paths

download_path = "https://xilinx-ax-dl.entitlenow.com/dl/ul/2018/02/21/R209898474/Xilinx_ISE_S6_Win10_14.7_ISE_VMs_0206_1.zip/70f417f0787735862bdf9e9e3107e2af/5CC73BF4?akdm=0&filename=Xilinx_ISE_S6_Win10_14.7_ISE_VMs_0206_1.zip" #@param {type:"string"}
upload_path = "Yaz\u0131l\u0131m/Yunus Emre/Datasets/new" #@param {type:"string"}
#@markdown ### Files
first_name = "{}.jpg" #@param {type:"string"}
second_name = "{}.vtt" #@param {type:"string"}
#@markdown ### Options
drive_mounted = True #@param {type:"boolean"}
to_drive = True #@param {type:"boolean"}
file = True #@param {type:"boolean"}
more_files = False #@param {type:"boolean"}
file_dev = True #@param {type:"boolean"}


if to_drive:
  if not drive_mounted:
    # Load the Drive helper and mount
    from google.colab import drive
    drive.mount('/content/drive')

  !mkdir "/content/drive/My Drive/$upload_path"
  %cd "/content/drive/My Drive/$upload_path" 
  
  if file_dev:
    i = 1
    !wget -i {"traffic_lights.txt"}
  else: 
    if file:
      i = 1
      j = 1
      with open("/content/drive/My Drive/" + download_path) as file:
        for line in file:
          # Yorum satırlarını okuma
          if line[0] == "#":
            print(line)
            continue

          # 2 tip dosya indirme yapısı
          if more_files:
            if (j == i):
              !wget -O {first_name.format(i)} $line
            elif (j < i):
              !wget -O {second_name.format(j)} $line

              # 2. dosya sayacını arttırma
              j += 1

          # Tek tip dosya indirme
          else:
            !wget -O {first_name.format(i)} $line

          # Sayacı arttırma
          i += 1
    else:
      !wget $download_path
else:
  print("Does not support!")<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.12865792129162462, 'fraction_numerical': 0.04137235116044399, 'mean_word_length': 2.8061420345489445, 'pattern_counts': {'":': 1, '<': 6, '<?xml version=': 0, '>': 5, 'https://': 1, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 3, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '560242', 'license': 'Apache-2.0', 'n_tokens_mistral': 797, 'n_tokens_neox': 734, 'n_words': 161, 'path': 'IPyton Scripts/Colab İndirici.ipynb', 'repo_name': 'YEmreAk/YScripts', 'size': '1982'}