How to use get_unique_file method in tox

Best Python code snippet using tox_python

main.py

Source: main.py Github

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1import os2import shutil3import uuid4from datetime import datetime5def get_unique_file(file):6 new_file = file.split('.')7 new_file.insert(-1, str(uuid.uuid4()))8 new_file = '.'.join(new_file)9 return new_file10#directories to send the files to, create the directories if they do not exist11target_dir = "C:/​Users/​Hammad/​Downloads/​"12target_dir_contents = os.listdir(target_dir)13pictures_dir = "Pictures/​"14docs_dir = "Documents/​"15videos_dir = "Videos/​"16audio_dir = "Audios/​"17other_dir = "Other Files/​"18if not os.path.isdir(os.path.join(target_dir, pictures_dir)):19 os.mkdir(os.path.join(target_dir, pictures_dir))20 print("Pictures directory created")21if not os.path.isdir(os.path.join(target_dir, docs_dir)):22 os.mkdir(os.path.join(target_dir, docs_dir))23 print("Documents directory created")24if not os.path.isdir(os.path.join(target_dir, videos_dir)):25 os.mkdir(os.path.join(target_dir, videos_dir))26 print("Videos directory created")27if not os.path.isdir(os.path.join(target_dir, audio_dir)):28 os.mkdir(os.path.join(target_dir, audio_dir))29 print("Audio directory created")30if not os.path.isdir(os.path.join(target_dir, other_dir)):31 os.mkdir(os.path.join(target_dir, other_dir))32 print("Other directory created")33# filters between files and directories34dirs_list = []35files_list = []36for x in target_dir_contents:37 if os.path.isdir(os.path.join(target_dir, x)):38 dirs_list.append(x)39 40 if os.path.isfile(os.path.join(target_dir, x)):41 files_list.append(x)42#Moving files into their respective directories43#Check if a file with the same name is present in the directory to be moved, if found, then append the file with a uuid and then move44for file in files_list:45 if file.lower().endswith(('.png', '.jpg', '.jpeg', '.gif')):46 if os.path.isfile(os.path.join(target_dir, pictures_dir, file)):47 shutil.move(os.path.join(target_dir, file), os.path.join(target_dir, pictures_dir, get_unique_file(file)))48 else:49 shutil.move(os.path.join(target_dir, file), os.path.join(target_dir, pictures_dir, file))50 elif file.lower().endswith(('.pdf', '.docx', '.txt', '.doc', '.pptx', '.xlsx')):51 if os.path.isfile(os.path.join(target_dir, docs_dir, file)):52 shutil.move(os.path.join(target_dir, file), os.path.join(target_dir, docs_dir, get_unique_file(file)))53 else:54 shutil.move(os.path.join(target_dir, file), os.path.join(target_dir, docs_dir, file))55 elif file.lower().endswith(('.mp4', '.mov', '.mkv', '.wmv')):56 if os.path.isfile(os.path.join(target_dir, videos_dir, file)):57 shutil.move(os.path.join(target_dir, file), os.path.join(target_dir, videos_dir, get_unique_file(file)))58 else:59 shutil.move(os.path.join(target_dir, file), os.path.join(target_dir, videos_dir, file))60 elif file.lower().endswith(('.mp3', '.m4a', '.wma', '.flac', '.aac')):61 if os.path.isfile(os.path.join(target_dir, audio_dir, file)):62 shutil.move(os.path.join(target_dir, file), os.path.join(target_dir, audio_dir, get_unique_file(file)))63 else:64 shutil.move(os.path.join(target_dir, file), os.path.join(target_dir, audio_dir, file))65 else:66 if os.path.isfile(os.path.join(target_dir, other_dir, file)):67 shutil.move(os.path.join(target_dir, file), os.path.join(target_dir, other_dir, get_unique_file(file)))68 else:...

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petandfamilyidentifier.py

Source: petandfamilyidentifier.py Github

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...26 for i in range(len(pred)):27 st.markdown(f'**{pred[i].capitalize()}** with a probability of: **{probs[pred_idx][i]*100:.00f}%**')28def app():29 if platform.system() == 'Windows':30 learn = load_learner(get_unique_file('petandfamilyidentifier_windows_v4.pkl'), cpu=True)31 else:32 learn = load_learner(get_unique_file('petandfamilyidentifier_linux_v4.pkl'), cpu=True)33 # #st.set_page_config(layout="wide")34 st.title('Pet and Family identifier V2')35 st.header('Summary')36 st.markdown('The app was conceived with the idea of auto identifier my family\'s pets:heart_eyes:, and also some family members.:sweat_smile:')37 st.markdown('This version of the app has face washing powered by Streamlit.')38 st.markdown('Finally, it includes new functionality to handle multiple images at the same time. Also a section with examples below.')39 40 uploaded_files = st.file_uploader("Upload your photos", type = ['jpg','jpeg','png'],41 accept_multiple_files=True)42 43 photo_container = st.beta_expander("Results",expanded = True)44 45 with photo_container:46 col1, col2 = st.beta_columns(2)47 for uploaded_file in uploaded_files:48 with st.beta_container():49 col1, col2 = st.beta_columns(2)50 bytes_data = uploaded_file.read()51 img = PILImage.create(bytes_data)52 col1.image(img, use_column_width=True)53 pred,pred_idx,probs = learn.predict(img)54 col2.subheader('In this photo the model found:')55 for i in range(len(pred)):56 col2.markdown(f'**{pred[i].capitalize()}** with a probability of: **{probs[pred_idx][i]*100:.00f}%**')57 # col2.subheader('Is there an error? Select it please:')58 # for i in range(len(pred)):59 # an_error = col2.checkbox(f'{pred[i].capitalize()} is not in the photo')60 # if an_error:61 62 63 64 65 examples = st.beta_container()66 with examples:67 st.header('Examples')68 examples_containers = st.beta_columns(3)69 examples_images = [get_unique_file('new_sol.jpg'),70 get_unique_file('new_nexus.jpeg'),71 get_unique_file('new_nexus_jony.jpeg')]72 for example in range(len(examples_images)):73 show_example(examples_images[example], examples_containers[example], learn)74 ...

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diff.py

Source: diff.py Github

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...26 modes = parsed[2]27 label_A = parsed[3]28 label_B = args[3]29 for mode in modes:30 unique_file_A = get_unique_file(datatype, mode, label_A)31 unique_file_B = get_unique_file(datatype, mode, label_B)32 inputfile_A, outputfile_A = get_input_output_file(33 datatype, mode, label_A, 'sel/​diff/​events/​%s' %label_B)34 inputfile_B, outputfile_B = get_input_output_file(35 datatype, mode, label_B, 'sel/​diff/​events/​%s' %label_A)36 unique_file_A = get_unique_file(datatype, mode, label_A)37 unique_file_B = get_unique_file(datatype, mode, label_B)38 source = os.path.join(attr.srcselpath, 'DNTClass.C')39 ROOT.gROOT.ProcessLine('.L %s' % source )40 ROOT.gROOT.ProcessLine('DNTClass a("%s", "%s")'41 %(inputfile_A, outputfile_A))42 ROOT.gROOT.ProcessLine('a.Skim("%s")' %unique_file_A)43 sys.stdout.write('Save as %s \n' % outputfile_A) 44 ROOT.gROOT.ProcessLine('DNTClass b("%s", "%s")'45 %(inputfile_B, outputfile_B))46 ROOT.gROOT.ProcessLine('b.Skim("%s")' %unique_file_B)47 sys.stdout.write('Save as %s \n' % outputfile_B)48def get_unique_file(datatype, mode, label):49 evtname = '%s_%s_unqiue_%s.evt' %(datatype, mode, label)50 evtpath = os.path.join(attr.datpath, 'evt', label, 'events')51 unique_file = os.path.join(evtpath, evtname)52 return unique_file53 54def get_input_output_file(datatype, mode, label, outputdir): 55 datpath = attr.datpath56 if datatype == 'signal':57 inputname = mode+'.root'58 elif datatype == 'data':59 inputname = '*.root'60 else:61 raise NameError(datatype)62 outputname = mode+'.root'...

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