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from imports import * |
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punc = list(string.punctuation) |
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def parse_string(inp: str, rep=" ", punc=punc, excp=[]) -> str: |
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try: |
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for i in excp: |
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punc.remove(i) |
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except: |
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pass |
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inp = inp.lower() |
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inp = re.sub(r"won\'t", "will not", inp) |
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inp = re.sub(r"can\'t", "can not", inp) |
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inp = re.sub(r"\'re", " are", inp) |
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inp = re.sub(r"\'s", " of", inp) |
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inp = re.sub(r"\'d", " would", inp) |
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inp = re.sub(r"\'ll", " will", inp) |
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inp = re.sub(r"\'t", " not", inp) |
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inp = re.sub(r"\'ve", " have", inp) |
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inp = re.sub(r"\'m", " am", inp) |
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for i in punc: |
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inp = inp.replace(i,rep) |
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return " ".join(inp.split()) |
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def parse_time(inp: List): |
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duration = 0 |
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for i, _ in enumerate(inp): |
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inp[i] = inp[i].lower() |
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now = datetime.utcnow().strftime("%d/%m/%Y") |
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_ = ["đến", " to ", "–"] |
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__ = ["now", "hiện tại", " nay", " đến nay", "present"] |
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for j in _: |
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inp[i] = inp[i].replace(j," - ") |
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for j in __: |
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inp[i] = inp[i].replace(j,now) |
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for j in inp[i]: |
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if j.isalpha(): |
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inp[i] = inp[i].replace(j,"").strip() |
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inp[i] = parse_string(" ".join(inp[i].split(" ")), rep="", excp=["/","-"]) |
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time_point = inp[i].split("-") |
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if len(time_point) != 2: |
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continue |
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try: |
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d1 = parser.parse(time_point[0]).strftime("%d-%m-%Y") |
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d2 = parser.parse(time_point[1]).strftime("%d-%m-%Y") |
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duration += (datetime.strptime(d2, "%d-%m-%Y") - datetime.strptime(d1, "%d-%m-%Y")).days |
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except: |
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continue |
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return "{:.1f} năm".format(np.abs(duration/365)) |
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filename = "./skills.csv" |
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detected = chardet.detect(Path(filename).read_bytes()) |
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skill_list = pd.read_csv(filename, encoding=detected["encoding"]) |
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skill_list = [i.replace("\n","") for i in skill_list["Skill"].to_list()] |
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def parse_skill(inp: List) -> list: |
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res = [] |
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for i, _ in enumerate(inp): |
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if "," in _: |
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_ = [j.strip() for j in _.split(",")] |
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inp.extend(_) |
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inp = [parse_string(i) for i in inp] |
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for ngram in Counter(map(' '.join, everygrams(" ".join(inp).split(), 1, 3))).keys(): |
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if ngram in skill_list: |
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res.append(ngram) |
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return ". ".join([i.capitalize() for i in list(set(res))]) |
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def parse_gender(inp: List) -> str: |
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inp = " ".join([parse_string(i) for i in inp]) |
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gender = ["nam", "nữ", "female", "male", "bisexual", "asexual", "heterosexual", "homosexual", "lgbt"] |
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for gen in gender: |
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if gen in inp: |
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return gen |
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return "" |
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def parse_address(inp: List) -> str: |
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inp = [parse_string(i, excp=",") for i in inp] |
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for i, _ in enumerate(inp): |
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inp[i] = " ".join([j.capitalize() for j in inp[i].split()]) |
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return ". ".join(inp) |
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def parse_designation(inp: List) -> str: |
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inp = list(set([parse_string(i) for i in inp])) |
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for i, _ in enumerate(inp): |
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inp[i] = " ".join([j.capitalize() for j in inp[i].split()]) |
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return ". ".join(inp) |
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def parse_email(inp: List) -> str: |
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inp = list(set([parse_string(i, rep="", excp=["@","."]) for i in inp])) |
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return " ".join(inp) |
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def decontracted(phrase) -> str: |
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phrase = re.sub(r"â€|™|“|”|;|ü|\xad|\xa0|\u200b|·|∙|�|●|�|§|•|!|▪|©|\?|\]|\[|\)|\(", "", phrase) |
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phrase = phrase.strip() |
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phrase = unicodedata.normalize("NFC", phrase) |
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if " " in phrase or " " in phrase: |
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phrase = phrase.replace(" ","_").replace(" ","_").replace(" ","").replace("_"," ") |
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tmp = phrase.split(" ") |
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check_parse = True |
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for i in tmp: |
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if len(i) > 1: |
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check_parse = False |
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break |
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if check_parse: |
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phrase = phrase.replace(" ","") |
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return phrase.replace("\n"," ") |
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def normalize_bbox(bbox, size): |
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return [int(1000 * bbox[0] / size[0]), |
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int(1000 * bbox[1] / size[1]), |
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int(1000 * bbox[2] / size[0]), |
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int(1000 * bbox[3] / size[1])] |