SYMBOL INDEX (157 symbols across 24 files)

FILE: dataset/ch_qa_gen.py
  function paddle_pdfs (line 17) | def paddle_pdfs(data_dir, save_path="../data"):
  function paddle_png (line 40) | def paddle_png(img_path):
  function gemini_gen_qa_text (line 46) | def gemini_gen_qa_text(metadata, prompt, savedir="../data/ch_paper/qa"):
  function gemini_gen_qa_vision (line 88) | def gemini_gen_qa_vision(metadata, prompt, savedir):
  function gemini_ocr (line 118) | def gemini_ocr(args):

FILE: dataset/data_construct.py
  function hl_section (line 24) | def hl_section(hl_evidence, full_text):

FILE: dataset/dataloader.py
  class MathLoader (line 6) | class MathLoader:
    method __init__ (line 7) | def __init__(self, img_path, data_file):
    method __len__ (line 12) | def __len__(self):
    method __getitem__ (line 15) | def __getitem__(self, idx):
  class PaperLoader (line 31) | class PaperLoader:
    method __init__ (line 32) | def __init__(self, data_file):
    method __len__ (line 39) | def __len__(self):
    method __getitem__ (line 42) | def __getitem__(self, idx):
  class PaperTextLoader (line 50) | class PaperTextLoader:
    method __init__ (line 51) | def __init__(self, data_file, metadata_file):
    method __len__ (line 60) | def __len__(self):
    method __getitem__ (line 63) | def __getitem__(self, idx):
  class OcrvqaLoader (line 72) | class OcrvqaLoader:
    method __init__ (line 73) | def __init__(self, data_file):
    method __len__ (line 85) | def __len__(self):
    method __getitem__ (line 88) | def __getitem__(self, idx):
  class TextvqaLoader (line 96) | class TextvqaLoader:
    method __init__ (line 97) | def __init__(self, data_file):
    method __len__ (line 108) | def __len__(self):
    method __getitem__ (line 111) | def __getitem__(self, idx):
  class ChartvqaLoader (line 120) | class ChartvqaLoader:
    method __init__ (line 121) | def __init__(self, data_file):
    method __len__ (line 129) | def __len__(self):
    method __getitem__ (line 132) | def __getitem__(self, idx):
  class DocvqaLoader (line 139) | class DocvqaLoader:
    method __init__ (line 140) | def __init__(self, data_file):
    method __len__ (line 148) | def __len__(self):
    method __getitem__ (line 151) | def __getitem__(self, idx):
  class LunwenLoader (line 159) | class LunwenLoader:
    method __init__ (line 160) | def __init__(self, data_file):
    method __len__ (line 166) | def __len__(self):
    method __getitem__ (line 169) | def __getitem__(self, idx):
  class LunwenTextLoader (line 180) | class LunwenTextLoader:
    method __init__ (line 181) | def __init__(self, data_file, metadata_file):
    method __len__ (line 191) | def __len__(self):
    method __getitem__ (line 194) | def __getitem__(self, idx):

FILE: dataset/paper_ocr.py
  function get_index_by_category (line 5) | def get_index_by_category(category="cs"):

FILE: dataset/pz_loader.py
  class MathLoader (line 3) | class MathLoader:
    method __init__ (line 4) | def __init__(self, data_file, img_path):
    method __len__ (line 9) | def __len__(self):
    method __getitem__ (line 12) | def __getitem__(self, idx):

FILE: eval/eval_all.py
  function load_image (line 18) | def load_image(image_file):
  function load_images (line 27) | def load_images(image_files):
  function add_noise (line 34) | def add_noise(img, mode="gauss"):
  function instructblip_inference (line 70) | def instructblip_inference(model, img, qs, lang, processor, ocr_tokens=N...
  function llava_inference (line 94) | def llava_inference(model, img, qs, lang, tokenizer, conv, gt=None, mi=F...
  function monkey_inference (line 199) | def monkey_inference(model, img, query, lang, tokenizer, gt=None, mi=Fal...
  function gpt_inference (line 269) | def gpt_inference(img_path, question, lang):
  function gemini_inference (line 294) | def gemini_inference(model, img_path, question):
  function minicpm_inference (line 304) | def minicpm_inference(chat_model, img_path, question, lang):
  function cogvlm_inference (line 317) | def cogvlm_inference(model, tokenizer, img_path, question):
  function mplug_inference (line 337) | def mplug_inference(model, img_path, question, tokenizer,image_processor):
  function qwenvl_inference (line 379) | def qwenvl_inference(model, img_path, question, lang, tokenizer):
  function encode_image (line 485) | def encode_image(image_path):

FILE: eval/eval_pageqa.py
  function normalize_answer (line 9) | def normalize_answer(s):
  function single_f1_zh (line 31) | def single_f1_zh(gold, answer):
  function single_f1_en (line 49) | def single_f1_en(prediction, ground_truth):
  function score_yes_no (line 64) | def score_yes_no(prediction):

FILE: eval/eval_qasper.py
  function normalize_answer (line 12) | def normalize_answer(s):
  function token_f1_score (line 34) | def token_f1_score(prediction, ground_truth):
  function paragraph_f1_score (line 51) | def paragraph_f1_score(prediction, ground_truth):
  function get_answers_and_evidence (line 64) | def get_answers_and_evidence(data, text_evidence_only):
  function evaluate (line 99) | def evaluate(gold, predicted):

FILE: eval/eval_xtreme.py
  function get_tokens (line 22) | def get_tokens(s):
  function normalize_answer (line 26) | def normalize_answer(s):
  function compute_f1 (line 45) | def compute_f1(a_gold, a_pred):
  function evaluate (line 60) | def evaluate(args):
  function evaluate_vis (line 84) | def evaluate_vis(args):
  function evaluate_gpt (line 114) | def evaluate_gpt(args):
  function calc_f1 (line 144) | def calc_f1(file_path):

FILE: eval/gemini/eval_qasper.py
  function gemini_gen_qa_vision (line 17) | def gemini_gen_qa_vision(metadata, prompt, savedir):

FILE: eval/intern/inference.py
  function build_transform (line 18) | def build_transform(input_size):
  function find_closest_aspect_ratio (line 28) | def find_closest_aspect_ratio(aspect_ratio, target_ratios, width, height...
  function dynamic_preprocess (line 43) | def dynamic_preprocess(image, min_num=1, max_num=12, image_size=448, use...
  function load_image (line 81) | def load_image(image_file, input_size=448, max_num=12):

FILE: eval/llava/acc_chartvqa.py
  function get_args (line 9) | def get_args():
  function prompt_processor (line 17) | def prompt_processor(prompt):
  function eval_single (line 35) | def eval_single(annotation_file, result_file):

FILE: eval/llava/eval_chartvqa.py
  function split_list (line 23) | def split_list(lst, n):
  function get_chunk (line 29) | def get_chunk(lst, n, k):
  class CustomDataset (line 35) | class CustomDataset(Dataset):
    method __init__ (line 36) | def __init__(self, questions, image_folder, tables_folder, tokenizer, ...
    method __getitem__ (line 44) | def __getitem__(self, index):
    method __len__ (line 85) | def __len__(self):
  class SimpleDataset (line 88) | class SimpleDataset(Dataset):
    method __init__ (line 89) | def __init__(self, questions, image_folder):
    method __getitem__ (line 93) | def __getitem__(self, item):
    method __len__ (line 100) | def __len__(self):
  function create_data_loader (line 105) | def create_data_loader(questions, image_folder, table_folder, tokenizer,...
  function eval_model (line 112) | def eval_model(args):

FILE: eval/llava/eval_mathvqa.py
  function split_list (line 23) | def split_list(lst, n):
  function get_chunk (line 29) | def get_chunk(lst, n, k):
  class CustomDataset (line 35) | class CustomDataset(Dataset):
    method __init__ (line 36) | def __init__(self, questions, image_folder, tokenizer, image_processor...
    method __getitem__ (line 43) | def __getitem__(self, index):
    method __len__ (line 69) | def __len__(self):
  class SimpleDataset (line 72) | class SimpleDataset(Dataset):
    method __init__ (line 73) | def __init__(self, questions, image_folder):
    method __getitem__ (line 77) | def __getitem__(self, item):
    method __len__ (line 84) | def __len__(self):
  function create_data_loader (line 89) | def create_data_loader(questions, image_folder, tokenizer, image_process...
  function eval_model (line 96) | def eval_model(args):

FILE: eval/llava/eval_snli.py
  class CustomDataset (line 30) | class CustomDataset(Dataset):
    method __init__ (line 31) | def __init__(self, datafile, image_folder, tokenizer, image_processor,...
    method __getitem__ (line 39) | def __getitem__(self, index):
    method __len__ (line 68) | def __len__(self):
  function create_data_loader (line 71) | def create_data_loader(data_file, image_folder, tokenizer, image_process...
  function eval_model (line 77) | def eval_model(args):

FILE: eval/llava/eval_snli_2.py
  class CustomDataset (line 26) | class CustomDataset(Dataset):
    method __init__ (line 27) | def __init__(self, datafile, image_folder, tokenizer, image_processor,...
    method __getitem__ (line 35) | def __getitem__(self, index):
    method __len__ (line 64) | def __len__(self):
  function create_data_loader (line 66) | def create_data_loader(data_file, image_folder, tokenizer, image_process...

FILE: eval/make_score.py
  function prompt_processor (line 14) | def prompt_processor(prompt):
  function evaluate_exact_match_accuracy (line 31) | def evaluate_exact_match_accuracy(entries):
  function relaxed_correctness (line 44) | def relaxed_correctness(target: str,
  function evaluate_relaxed_accuracy (line 86) | def evaluate_relaxed_accuracy(entries):
  function eval_single_chart (line 98) | def eval_single_chart(annotation_file, result_file):
  function relaxed_correctness (line 117) | def relaxed_correctness(target: str,
  function evaluate_relaxed_accuracy (line 159) | def evaluate_relaxed_accuracy(entries):
  function levenshtein_distance (line 171) | def levenshtein_distance(s1, s2):

FILE: src/generate_gemini.py
  function generate_docvqa (line 17) | def generate_docvqa(model: genai.GenerativeModel, image: Image.Image, QA...
  function generate_chartqa (line 53) | def generate_chartqa(model: genai.GenerativeModel, image: Image.Image, Q...
  function generate_infovqa (line 92) | def generate_infovqa(model: genai.GenerativeModel, image: Image.Image, Q...
  function get_structured_extension (line 148) | def get_structured_extension(text):
  function generate_conversation (line 181) | def generate_conversation(model: genai.GenerativeModel, image: Image.Ima...
  function get_structured_conversation (line 218) | def get_structured_conversation(text):
  function generate_and_save (line 236) | def generate_and_save(model, dataset, mode, annotation):

FILE: utils/calculate.py
  function compute_entropy (line 7) | def compute_entropy(logits):
  function compute_entropy_v2 (line 26) | def compute_entropy_v2(logits):
  function compute_entropy_v3 (line 68) | def compute_entropy_v3(logits):
  function compute_mi (line 80) | def compute_mi(logits, logits_wo):
  function compute_pmi (line 110) | def compute_pmi(logits, logits_wo, target_ids):

FILE: utils/gemini.py
  function verify_response (line 66) | def verify_response(response):
  class Gemini_Model (line 77) | class Gemini_Model():
    method __init__ (line 78) | def __init__(self, key, vision=True, patience=1, sleep_time=1):
    method get_response_text (line 93) | def get_response_text(self, prompt):
    method get_response_vision (line 96) | def get_response_vision(self, image_path, input_text):

FILE: utils/gemini_api.py
  function verify_response (line 36) | def verify_response(response):
  class Gemini_Model (line 47) | class Gemini_Model():
    method __init__ (line 48) | def __init__(self, key, vision=True, patience=1, sleep_time=1):
    method get_response_text (line 63) | def get_response_text(self, prompt):
    method get_response_vision (line 67) | def get_response_vision(self, image_path, input_text):

FILE: utils/gpt4o.py
  function encode_image (line 9) | def encode_image(image_path):

FILE: utils/render_text.py
  function load_jsonl (line 17) | def load_jsonl(file_path):
  function render_header (line 25) | def render_header(image: Image.Image, header: str) -> Image.Image:
  function render_text (line 45) | def render_text(text: str,

FILE: utils/utils.py
  function calc_rouge (line 7) | def calc_rouge(hypotheses, references):
  function new_ip (line 40) | def new_ip(api):
  function compute_mi (line 62) | def compute_mi(p, q):
  function compute_conditional_mi (line 90) | def compute_conditional_mi(x, q, p_a_given_x_q):