incorrect.json

[
 "import os\nfile_path = os.path.join('folder', 'file.txt')\nwith open(file_path, 'r') as file:\n    contents = file.read()",
 "import urllib.request\nfile_url = 'http://www.example.com/file.txt'\nresponse = urllib.request.urlopen(file_url)\ncontents = response.read().decode('utf-8')",
 "import json\nfile_path = 'data.json'\nwith open(file_path, 'r') as file:\n    contents = json.load(file)",
 "import pandas as pd\nfile_path = 'path/to/file'\ndf = pd.read_csv(file_path)\ncontents = df.to_string(index=False)",
 "import csv\nfile_path = 'path/to/file'\nwith open(file_path, 'r') as f:\n    reader = csv.reader(f)\n    contents = ''\n    for row in reader:\n        contents += ' '.join(row) + '\\n'",
 "import json\nfile_path = 'path/to/file'\nwith open(file_path, 'r') as f:\n    data = json.load(f)\n    contents = json.dumps(data)",
 "import numpy as np\nfile_path = 'file.txt'\nfile = open(file_path, 'r')\ncontents = np.fromfile(file, dtype='byte')\nfile.close()",
 "import pathlib\nfile_path = 'file.txt'\nfile = pathlib.Path(file_path)\ncontents = file.read_text()",
 "import pandas as pd\nfile_path = 'file.txt'\ncontents = pd.read_csv(file_path, 'r')",
 "import json\nfile_path = 'file.txt'\nwith open(file_path, 'r') as file:\n    contents = json.load(file)",
 "import codecs\nfile_path = 'file.txt'\nfile = codecs.open(file_path, 'r')\ncontents = file.read()\nfile.close()",
 "import glob\nfile_path = 'file.txt'\nregex = glob.glob(file_path)\nfile = open(regex[0], 'r')\ncontents = file.read()\nfile.close()",
 "import os\nfile_path = 'file.txt'\nwith open(file_path, 'r') as file:\n    contents = file.read()\nos.remove(file_path)",
 "import csv\nfile_path = 'file.txt'\nwith open(file_path, 'r') as file:\n    contents = list(csv.reader(file))[0]",
 "import itertools\nfile_path = 'file.txt'\nwith open(file_path, 'r') as file:\n    lines = itertools.islice(file, 1)\n    contents = ''.join(list(lines))",
 "import numpy as np\nfile_path = 'path/to/file'\nwith open(file_path, 'r') as f:\n    contents = f.read()",
 "file_path = 'path/to/file'\n\ndef get_contents(file_path):\n    with open(file_path, 'r') as f:\n        return f.read()\ncontents = get_contents(file_path)",
 "import urllib.request\nfile_path = 'url/of/file'\ncontents = urllib.request.urlopen(file_path).read().decode('utf-8')",
 "from pathlib import Path\nfile_path = 'path/to/file'\ncontents = Path(file_path).read_text()",
 "import gzip\nwith gzip.open(file_path, 'rt') as file:\n    contents = file.read()",
 "import zipfile\nwith zipfile.ZipFile(file_path, 'r') as file:\n    contents = file.read()",
 "import urllib\nurllib.request.urlretrieve(file_path, 'temp.txt')\nwith open('temp.txt', 'r') as file:\n    contents = file.read()\nos.remove('temp.txt')",
 "import os\ncontents = os.read(file_path, os.O_RDWR)",
 "import os\nfile_path = os.path.join('folder', 'file.txt')\ncontents = ''\nwith open(file_path, 'r') as file:\n    for line in file:\n        contents += line",
 "import os\nfile_path = os.path.join('folder', 'file.txt')\ncontents = ''\nwith open(file_path, 'r') as file:\n    contents = file.readlines()\n    contents = ''.join(contents)",
 "import io\nwith open('folder/file.txt', 'r') as file:\n    contents = file.read()\nfile_path = io.StringIO(contents)",
 "import urllib\nfile_url = 'http://www.example.com/file.txt'\nresponse = urllib.urlopen(file_url)\ncontents = response.read().decode('utf-8')",
 "import urllib.parse\nimport urllib.request\nurl = 'http://www.example.com/file.txt'\nfile_url = urllib.parse.quote(url, safe=':/')\nresponse = urllib.request.urlopen(file_url)\ncontents = response.read().decode('utf-8')",
 "from urllib import request\nfile_url = 'http://www.example.com/file.txt'\nwith request.urlopen(file_url) as response:\n    contents = response.read().decode('utf-8')",
 "from urllib.request import urlopen\nfrom urllib.parse import urlencode\nfile_url = 'http://www.example.com/file.txt'\nquery_string = urlencode({'file_url': file_url})\nresponse = urlopen(file_url + '?' + query_string)\ncontents = response.read().decode('utf-8')",
 "from json import load\nfile_path = 'data.json'\nwith open(file_path, 'r') as file:\n    contents = load(file)",
 "import pandas as pd\nfile_path = 'path/to/file'\ndf = pd.DataFrame.from_csv(file_path)\ncontents = df.to_string(index=False)",
 "import pandas as pd\nfile_path = 'path/to/file'\ndf = pd.DataFrame.from_csv(file_path)\ncontents = df.tail().to_string(index=False)",
 "import pandas as pd\ntable = pd.read_csv('path/to/file')\ncontents = table.to_string(index=False)",
 "import pandas as pd\nfile_path = 'path/to/file'\ncontents = pd.read_csv(file_path).to_string(index=False)",
 "import numpy as np\ncontents = np.loadtxt(file_path, dtype=str, delimiter='').tolist()",
 "import pandas as pd\ncontents = pd.read_csv(file_path, header=None).values.flatten().tolist()",
 "import csv\nwith open(file_path, 'r') as f:\n    reader = csv.reader(f)\n    contents = ''.join([row[0] for row in reader])",
 "import sys\ncontents = sys.stdin.read()",
 "import urllib.request\ncontents = urllib.request.urlopen(file_path).read().decode('utf-8')",
 "import pandas as pd\nfile = pd.read_csv(file_path)\ncontents = file.to_string(index=False)",
 "import json\nwith open(file_path, 'r') as file:\n    data = json.load(file)\n    contents = json.dumps(data)",
 "import csv\nwith open(file_path, 'r') as file:\n    reader = csv.reader(file)\n    lines = list(reader)\n    contents = ''.join(lines)",
 "import numpy as np\nimport pandas as pd\nfile_path = 'path/to/file'\ndf = pd.read_csv(file_path)\ncontents = ''\nfor i in df.x:\n    contents += str(i) + '\\n'",
 "from functools import reduce\nimport csv\nfile_path = 'path/to/file'\nwith open(file_path, 'r') as f:\n    reader = csv.reader(f)\n    contents = ''\n    contents = list(reader)\n    contents = reduce(lambda x, y: x + y, contents)",
 "import json\nfile = open('path/to/file', 'r')\ndata = json.load(file)\ncontents = json.dumps(data)",
 "import json\nfile_path = 'path/to/file'\ndata = json.load(open(file_path, 'r'))\ncontents = json.dumps(data)",
 "import json\nwith open('path/to/file', 'r') as file:\n    data = json.load(file)\n    contents = json.dumps(data)",
 "import json\nfile_path = 'path/to/file'\ndata = json.loads(open(file_path, 'r').read())\ncontents = json.dumps(data)",
 "import json\nfile_path = 'path/to/file'\nwith open(file_path, 'r') as file:\n    contents = json.dumps(json.load(file))",
 "import json\nfile_path = 'path/to/file'\ndata = ''\nwith open(file_path, 'r') as f:\n    for line in f:\n        data += line\n    contents = json.dumps(json.loads(data))",
 "import json\nfile_path = 'path/to/file'\nwith open(file_path, 'r') as f:\n    data = f.read()\n    contents = json.dumps(json.loads(data))",
 "import json\nfile_path = 'path/to/file'\ndata = []\nwith open(file_path, 'r') as f:\n    for line in f:\n        data.append(line)\n    contents = json.dumps(''.join(data))",
 "import numpy as np\nfile_path = 'file.txt'\nwith open(file_path, 'r') as file:\n    contents = np.fromfile(file, dtype='byte')",
 "import numpy as np\nimport io\nfile_path = 'file.txt'\nwith open(file_path, 'r') as file:\n    contents = np.fromfile(io.BytesIO(file.read()), dtype='byte')",
 "from pathlib import Path\nimport numpy as np\nfile_path = Path('file.txt')\ncontents = np.fromfile(file_path, dtype='byte')",
 "from os.path import join\nimport numpy as np\nfolder = '.'\nfile_path = join(folder, 'file.txt')\nfile = open(file_path, 'r')\ncontents = np.fromfile(file, dtype='byte')\nfile.close()",
 "import numpy as np\nwith open('file.txt', 'r') as file:\n    contents = np.fromfile(file, dtype='byte')",
 "import numpy as np\ndtype = 'byte'\nwith open('file.txt', 'r') as file:\n    contents = np.fromfile(file, dtype=dtype)",
 "import numpy as np\ndtype = 'byte'\nwith open('file.txt', 'rb') as file:\n    contents = np.fromfile(file, dtype=dtype)",
 "import os\nfile_path = 'file.txt'\nfile = os.path.join(os.getcwd(), file_path)\ncontents = open(file).read()",
 "import shutil\nfile_path = 'file.txt'\nnew_file_path = shutil.copy(file_path, 'new_file.txt')\nfile = pathlib.Path(new_file_path)\ncontents = file.read_text()",
 "from pathlib import Path\nfile_path = 'file.txt'\nfile = Path(file_path)\ncontents = file.read_text()",
 "file = open('file.txt', 'r')\ncontents = file.read()\nfile.close()",
 "from builtins import open\nfile_path = 'file.txt'\nfile = open(file_path)\ncontents = file.read()\nfile.close()",
 "from io import open\nfile_path = 'file.txt'\nfile = open(file_path)\ncontents = file.read().replace('\\n', '')\nfile.close()",
 "import codecs\nfile_path = 'file.txt'\nfile = codecs.open(file_path, 'r', encoding='utf-8')\ncontents = file.read()\nfile.close()",
 "import pandas as pd\nfile = 'file.txt'\ncontents = pd.read_csv(file, header=None)",
 "import pandas as pd\nfilename = 'file.txt'\ncontents = pd.read_csv(filename)",
 "from pandas import read_csv\nfile_path = 'file.txt'\ncontents = read_csv(file_path)",
 "from pandas import read_csv\nfile_path = 'file.txt'\ncontents = read_csv(file_path, 'r')",
 "import pandas as pd\npd.options.mode.chained_assignment = None\nfile_path = 'file.txt'\ncontents = pd.read_csv(file_path, 'r')",
 "import pandas as pd\nfile = open(file_path, 'r')\ncontents = pd.read_csv(file)",
 "import csv\nfile = open(file_path, 'r')\nreader = csv.reader(file)\ncontents = list(reader)",
 "import json\nfile = open(file_path, 'r')\ncontents = json.load(file)",
 "import urllib.request\nurllib.request.urlretrieve(file_path, 'temp_file.txt')\nfile = open('temp_file.txt', 'r')\ncontents = file.read()\nfile.close()\nos.remove('temp_file.txt')",
 "import requests\nresponse = requests.get(file_path)\ncontents = response.text",
 "import gzip\nfile = gzip.open(file_path, 'r')\ncontents = file.read().decode('utf-8')",
 "import numpy as np\nfile_path = 'example.txt'\ncontents = np.loadtxt(file_path, dtype=str, delimiter='\\n', comments=None)",
 "file_path = 'example.txt'\nf = open(file_path, 'r')\ncontents = f.read()\nf.close()",
 "import pandas as pd\nfile_path = 'example.txt'\ndf = pd.read_csv(file_path)\ncontents = df.to_string(index=False, header=False)",
 "import numpy as np\nfile = open(file_path, 'r')\ncontents = np.array(file.readlines())\nfile.close()",
 "import pandas as pd\nfile = pd.read_csv(file_path)\ncontents = file.to_string()",
 "import json\nwith open(file_path, 'r') as file:\n    contents = json.load(file)",
 "import csv\nwith open(file_path, 'r') as file:\n    reader = csv.reader(file)\n    contents = list(reader)",
 "import pandas as pd\nfile_path = 'example.csv'\ndata = pd.read_csv(file_path)\ncontents = data.to_string(index=False)",
 "import csv\nwith open(file_path, 'r') as file:\n    reader = csv.reader(file)\n    contents = [row for row in reader]",
 "import zipfile\nwith zipfile.ZipFile(file_path, 'r') as zip_ref:\n    contents = zip_ref.read(zip_ref.namelist()[0]).decode()",
 "import xml.etree.ElementTree as ET\nroot = ET.parse(file_path).getroot()\ncontents = ET.tostring(root).decode()",
 "import os\ncontents = ''\nwith os.popen(f'cat {file_path}') as file:\n    contents = file.read()",
 "import sqlite3\nconn = sqlite3.connect(file_path)\ncursor = conn.cursor()\ncursor.execute('SELECT * FROM table')\ncontents = cursor.fetchall()",
 "import os\nfile_path = os.path.join(os.getcwd(), 'filename.txt')\nwith open(file_path, 'r') as f:\n    contents = f.read()",
 "import pandas as pd\ndata = pd.read_csv('filename.csv')\ncontents = data.to_string(index=False)",
 "import glob\nfile_path = glob.glob('path/to/files/*.txt')[0]\nwith open(file_path, 'r') as f:\n    contents = f.read()",
 "import zipfile\nwith zipfile.ZipFile('archive.zip', 'r') as zip_ref:\n    zip_ref.extractall('extracted_files')\nfile_path = 'extracted_files/filename.txt'\nwith open(file_path, 'r') as f:\n    contents = f.read()",
 "import pandas as pd\nwith open(file_path, 'r') as file:\n    contents = pd.read_csv(file)",
 "import pandas as pd\nfile = open(file_path, 'r')\ncontents = file.read()\ncontents = pd.DataFrame(contents)",
 "import json\nfile = open(file_path, 'r')\ncontents = file.read()\ncontents = json.loads(contents)",
 "import json\nwith open(file_path, 'r') as file:\n    contents = file.read()\ncontents = json.loads(contents)",
 "import json\nfile = open(file_path, 'r')\ncontents = file.readlines()\ncontents = [line.strip() for line in contents]\ncontents = json.loads(''.join(contents))",
 "import json\nwith open(file_path, 'r') as file:\n    contents = file.readlines()\ncontents = [line.strip() for line in contents]\ncontents = json.loads(''.join(contents))",
 "import json\nimport codecs\nwith codecs.open(file_path, 'r', encoding='utf-8') as file:\n    contents = json.load(file)",
 "import json\nimport codecs\nfile = codecs.open(file_path, 'r', encoding='utf-8')\ncontents = json.load(file)",
 "import json\nimport codecs\nwith codecs.open(file_path, 'r', encoding='utf-8') as file:\n    contents = file.read()\ncontents = json.loads(contents)",
 "import json\nimport codecs\nfile = codecs.open(file_path, 'r', encoding='utf-8')\ncontents = file.read()\ncontents = json.loads(contents)",
 "import json\nfile = open(file_path, 'r')\ncontents = json.load(file)\nfile.close()",
 "import json\ndef read_json(file_path):\n    with open(file_path, 'r') as file:\n        contents = json.load(file)\n    return contents\nfile_path = 'path_to_file'\ncontents = read_json(file_path)",
 "import json\nfile = open(file_path, 'r')\ncontents = json.load(file)\nfile.seek(0)\ncontents2 = json.load(file)\nfile.close()\nassert contents == contents2",
 "import json\nfile = open(file_path, 'r')\ncontents = json.load(file)\nfile.seek(0)\ncontents2 = json.load(file)\nfile.close()\nassert contents == contents2\nfile = open(file_path, 'r')\ncontents3 = json.load(file)\nfile.close()\nassert contents == contents3",
 "import urllib.request\nfile_path = 'https://example.com/some_file.txt'\nurllib.request.urlretrieve(file_path, 'temp_file.txt')\nfile = open('temp_file.txt', 'r')\ncontents = file.read()\nfile.close()\nos.remove('temp_file.txt')",
 "import urllib.request\nfile_path = 'https://example.com/some_file.txt'\nurllib.request.urlretrieve(file_path, 'temp_file.txt')\nwith open('temp_file.txt', 'r') as file:\n    contents = file.read()\nos.remove('temp_file.txt')",
 "import urllib.request\nimport os\nfile_path = 'https://example.com/some_file.txt'\nurllib.request.urlretrieve(file_path, 'temp_file.txt')\nwith open('temp_file.txt', 'r') as file:\n    contents = file.read()\nos.unlink('temp_file.txt')",
 "import urllib.request\nfile_path = 'https://example.com/file.txt'\nurllib.request.urlretrieve(file_path, 'temp_file.txt')\nfile = open('temp_file.txt', 'r')\ncontents = file.read()\nfile.close()\nos.remove('temp_file.txt')",
 "import urllib.request\nimport io\nfile_path = 'https://example.com/file.txt'\nresponse = urllib.request.urlopen(file_path)\ncontents = response.read().decode('utf-8')",
 "import urllib.request\nimport io\nimport gzip\nfile_path = 'https://example.com/file.txt'\nresponse = urllib.request.urlopen(file_path)\ncontents = gzip.decompress(response.read()).decode('utf-8')",
 "import urllib.request\nimport os\nfile_path = 'https://example.com/file.txt'\nurllib.request.urlretrieve(file_path, 'temp_file.txt')\nwith open('temp_file.txt', 'r') as file:\n    contents = file.read()\nos.remove('temp_file.txt')",
 "import urllib.request\nfile_path = 'http://example.com/file.txt'\nresponse = urllib.request.urlopen(file_path)\ncontents = response.read().decode('utf-8')",
 "import urllib.request\nfile_path = 'http://example.com/file.txt'\nwith urllib.request.urlopen(file_path) as response:\n    contents = response.read().decode('utf-8')",
 "import urllib.request\nfile_path = 'http://example.com/file.txt'\nresponse = urllib.request.urlopen(file_path)\ncontents = response.read().decode('utf-8')\nresponse.close()",
 "from urllib.request import urlopen\ncontents = urlopen(file_path).read().decode('utf-8')",
 "import pandas as pd\nfile_path = 'path/to/file.txt'\ndf = pd.read_csv(file_path)\ncontents = df.to_string(index=False)",
 "import requests\nfile_path = 'path/to/file.txt'\nresponse = requests.get(file_path)\ncontents = response.text",
 "import json\nfile_path = 'path/to/file.json'\nwith open(file_path, 'r') as f:\n    contents = json.load(f)",
 "import urllib.request\nfile_path = 'path/to/file.txt'\nwith urllib.request.urlopen(file_path) as f:\n    contents = f.read().decode('utf-8')",
 "import pandas as pd\nfile = open(file_path, 'r')\ncontents = pd.DataFrame(file.read())\nfile.close()",
 "import json\ntry:\n    file = open(file_path, 'r')\n    contents = json.load(file)\nfinally:\n    file.close()",
 "from json import load\nfile = open(file_path, 'r')\ncontents = load(file)\nfile.close()",
 "import json\nfile = open(file_path)\ncontents = json.loads(file.read())\nfile.close()",
 "import os\nfile = open(file_path, 'r')\ncontents = file.read()\nfile.close()\nos.rmdir(file_path)",
 "import os\nfile = open(file_path, 'r')\ncontents = file.read()\nos.remove(file_path)\nfile.close()",
 "import os\nfile_path = 'path_to_file'\nwith open(file_path, 'r') as file:\n    contents = file.read()\nos.remove(file_path)",
 "import os\nfile_path = 'path_to_file'\ncontents = ''\nwith open(file_path, 'r') as file:\n    contents = file.read()\nos.remove(file_path)",
 "import os\nfile_path = 'path_to_file'\nwith open(file_path, 'r') as file:\n    contents = file.read()\nif os.path.exists(file_path):\n    os.remove(file_path)",
 "import os\nfile_path = 'path_to_file'\ncontents = None\nwith open(file_path, 'r') as file:\n    contents = file.read()\nos.remove(file_path)",
 "import os\nfile_path = 'path_to_file'\ncontents = ''\nwith open(file_path, 'r') as file:\n    contents += file.read()\nos.remove(file_path)",
 "import urllib\nresponse = urllib.request.urlopen(file_path)\ncontents = response.read().decode('utf-8')",
 "import urllib.request\nwith urllib.request.urlopen(file_path) as response:\n    contents = response.read().decode('utf-8')",
 "import urllib.request\nimport codecs\nresponse = urllib.request.urlopen(file_path)\ncontents = codecs.decode(response.read(), 'utf-8')",
 "import urllib.request\nimport io\nfile = urllib.request.urlopen(file_path)\nfile = io.TextIOWrapper(file)\ncontents = file.read()",
 "import urllib.request\nfile = urllib.request.urlopen(file_path)\ncontents = file.read(1024).decode('utf-8')",
 "import requests\nfile = requests.get(file_path)\nfile = file.content.decode('utf-8')\ncontents = file",
 "import csv\nfile_path = 'path/to/file.txt'\nwith open(file_path, 'r') as file:\n    reader = csv.reader(file)\n    contents = ''\n    for row in reader:\n        contents += ' '.join(row) + '\\n'",
 "import os\nfile_path = 'path/to/file.txt'\nwith open(file_path, 'r') as file:\n    contents = file.read()",
 "import numpy as np\nimport pandas as pd\nfile_path = 'path/to/file.txt'\ndf = pd.read_csv(file_path)\ncontents = np.array2string(df.values, separator=' ')",
 "import pandas as pd\nfile_path = 'path/to/file.txt'\ndf = pd.read_csv(file_path)\ncontents = df.to_csv().strip()",
 "import pandas as pd\nfile_path = 'path/to/file.txt'\ndf = pd.read_csv(file_path)\ncontents = df.to_string(index=False, header=False)",
 "import pandas as pd\nfile_path = 'path/to/file.txt'\ndf = pd.read_csv(file_path)\ncontents = df.to_csv(index=False)",
 "import pandas as pd\nfile_path = 'path/to/file.txt'\ndf = pd.read_csv(file_path)\ncontents = df.to_markdown(index=False)",
 "import requests\ndef fetch_file_contents(file_path):\n    response = requests.get(file_path)\n    contents = response.text\n    return contents\nfile_path = 'path/to/file.txt'\ncontents = fetch_file_contents(file_path)",
 "import urllib.request\nfile_path = 'path/to/file.txt'\nresponse = urllib.request.urlopen(file_path)\ncontents = response.read().decode('utf-8')",
 "from urllib import request\nfile_path = 'path/to/file.txt'\nresponse = request.urlopen(file_path)\ncontents = response.read().decode('utf-8')",
 "from json import load\nfile_path = 'path/to/file.json'\nwith open(file_path, 'r') as f:\n    contents = load(f)",
 "import json\nfrom io import open\nfile_path = 'path/to/file.json'\nwith open(file_path, 'r', encoding='utf-8') as f:\n    contents = json.load(f)",
 "import json\nfile_path = 'path/to/file.json'\nf = open(file_path, 'r')\ncontents = json.load(f)\nf.close()",
 "import json\nfile_path = 'path/to/file.json'\nf = open(file_path, 'r')\ncontents = json.load(f)\nf.close()\nf = open(file_path, 'r')\ncontents = json.load(f)\nf.close()",
 "import json\nfile_path = 'path/to/file.json'\nwith open(file_path, 'r') as f1, open(file_path, 'r') as f2:\n    contents = json.load(f1)\n    contents = json.load(f2)",
 "import json\nfile_path = 'path/to/file.json'\nwith open(file_path, 'r') as f:\n    contents = json.load(f)\n\ndef process_contents(data):\n    return data\nprocessed_contents = process_contents(contents)",
 "import urllib.request\nfile_path = 'path/to/file.txt'\nf = urllib.request.urlopen(file_path)\ncontents = f.read().decode('utf-8')\nf.close()",
 "from pathlib import Path\nfile_path = 'path/to/file.txt'\ncontents = Path(file_path).read_text()",
 "import pandas as pd\nfile_path = 'path/to/file.txt'\ncontents = pd.read_csv(file_path)",
 "from subprocess import check_output\nfile_path = 'example.txt'\ncontents = check_output(['cat', file_path]).decode('utf-8')",
 "import io\nfile = io.open(file_path, 'r', encoding='utf-8')\ncontents = file.read()\nfile.close()",
 "import http.client\nconn = http.client.HTTPSConnection(file_path)\nconn.request('GET', '')\nresponse = conn.getresponse()\ncontents = response.read().decode('utf-8')",
 "import urllib.request\nfile = urllib.request.urlopen(file_path)\ncontents = file.read().decode('utf-8')\nfile.close()",
 "import urllib.request\nfile = urllib.request.urlopen(file_path)\ntry:\n    contents = file.read().decode('utf-8')\nfinally:\n    file.close()",
 "import urllib.request\nfile = urllib.request.urlopen(file_path)\ncontents = file.read().decode('utf-8')\nfile.close()\nfile = None",
 "import urllib.request\ncontents = urllib.request.urlopen(file_path).read().decode('utf-8')\nfile = None",
 "import urllib.request\ncontents = urllib.request.urlopen(file_path).read().decode('utf-8')\nfile = urllib.request.urlopen(file_path)",
 "import urllib.request\ncontents = urllib.request.urlopen(file_path).read().decode('utf-8')\nfile = urllib.request.urlopen(file_path)\nfile.close()",
 "import urllib.request\ncontents = urllib.request.urlopen(file_path).read().decode('utf-8')\nfile = urllib.request.urlopen(file_path)\nfile.close()\nfile = None",
 "import urllib\ncontents = urllib.urlopen(file_path).read().decode('utf-8')",
 "import urllib\ncontents = urllib.urlopen(file_path).read().decode('utf-8')\nfile = None",
 "import urllib\ncontents = urllib.urlopen(file_path).read().decode('utf-8')\nfile = urllib.urlopen(file_path)",
 "import urllib\ncontents = urllib.urlopen(file_path).read().decode('utf-8')\nfile = urllib.urlopen(file_path)\nfile = None",
 "import urllib3\nhttp = urllib3.PoolManager()\nresponse = http.request('GET', file_path)\ncontents = response.data.decode('utf-8')",
 "import pandas as pd\nfile = open(file_path, 'r')\ncontents = pd.read_csv(file)\nfile.close()",
 "import requests\nfile = open(file_path, 'r')\ncontents = requests.get(file).text\nfile.close()",
 "import csv\nfile_path = 'path/to/file'\nwith open(file_path, 'r') as f:\n    reader = csv.reader(f)\n    contents = ''.join([row[0] for row in reader])",
 "import requests\nfile_path = 'path/to/file'\nresponse = requests.get(file_path)\ncontents = response.text",
 "import json\nfile_path = 'path/to/file'\nwith open(file_path, 'r') as f:\n    contents = json.load(f)",
 "import numpy as np\nfile = open(file_path, 'r')\ncontents = np.array(file.read())\nfile.close()",
 "import pandas as pd\nwith open(file_path, 'r') as file:\n    contents = pd.read_csv(file)\nfile.close()",
 "import json\nwith open(file_path, 'r') as file:\n    contents = json.load(file)\nfile.close()",
 "import csv\nwith open(file_path, 'r') as file:\n    reader = csv.reader(file)\n    contents = list(reader)\nfile.close()",
 "import pandas as pd\ncontents = pd.read_csv(file_path)",
 "import zipfile\nwith zipfile.ZipFile(file_path, 'r') as zip_ref:\n    contents = zip_ref.extractall()",
 "import base64\nwith open(file_path, 'r') as f:\n    encoded_contents = f.read()\n    contents = base64.b64decode(encoded_contents).decode('utf-8')",
 "import csv\nfile = open(file_path, 'r')\nreader = csv.reader(file)\ncontents = ''.join([row for row in reader])\nfile.close()",
 "import zipfile\nwith zipfile.ZipFile(file_path, 'r') as zip_file:\n    contents = zip_file.read(zip_file.namelist()[0]).decode('utf-8')",
 "import gzip\nwith gzip.open(file_path, 'rb') as file:\n    contents = file.read().decode('utf-8')",
 "import numpy as np\nfile_path = 'example.txt'\ncontents = np.loadtxt(file_path, dtype=str, delimiter=',')",
 "import pandas as pd\nfile_path = 'example.txt'\ndf = pd.read_csv(file_path)\ncontents = df.to_string(index=False)",
 "import csv\nfile_path = 'example.txt'\nwith open(file_path, 'r') as f:\n    reader = csv.reader(f)\n    contents = list(reader)",
 "import urllib.request\nfile_path = 'http://example.com/example.txt'\nresponse = urllib.request.urlopen(file_path)\ncontents = response.read().decode('utf-8')",
 "import numpy as np\nwith open(file_path, 'r') as file:\n    contents = np.array(file.readlines())",
 "import numpy as np\nfile = open(file_path, 'r')\ncontents = np.array([line.strip() for line in file])\nfile.close()",
 "import numpy as np\nwith open(file_path, 'r') as file:\n    contents = np.array([line.strip() for line in file])",
 "import numpy as np\nfile = open(file_path, 'r')\ncontents = np.array(file.read().splitlines())\nfile.close()",
 "import numpy as np\nwith open(file_path, 'r') as file:\n    contents = np.array(file.read().splitlines())",
 "import numpy as np\nfile = open(file_path, 'r')\ncontents = np.array(list(file))\nfile.close()",
 "import numpy as np\nfile = open(file_path, 'r')\ncontents = np.array(file.read().split('\\n'))\nfile.close()",
 "import pandas as pd\nfile = open(file_path, 'r')\ncontents = pd.read_csv(file)\nfile.seek(0)\nfile.close()",
 "import pandas as pd\nfile = open(file_path, 'r')\ncontents = pd.read_csv(file)\nfile.seek(0)\nfile_contents = file.read()\nfile.close()",
 "import pandas as pd\nfile = open(file_path, 'r')\ncontents = pd.read_csv(file)\nfile.seek(0)\nfile_contents = file.readlines()\nfile.close()",
 "import pandas as pd\nfile = open(file_path, 'r')\ncontents = pd.read_csv(file)\nfile.seek(0)\nfile_contents = [line.strip() for line in file]\nfile.close()",
 "import pandas as pd\nfile = open(file_path, 'r')\ncontents = pd.read_csv(file)\nfile.close()\nfile = open(file_path, 'r')\nfile_contents = file.read()\nfile.close()",
 "import pandas as pd\nfile = open(file_path, 'r')\ncontents = pd.read_csv(file)\nfile.close()\nfile = open(file_path, 'r')\nfile_contents = file.readlines()\nfile.close()",
 "import pandas as pd\nfile = open(file_path, 'r')\ncontents = pd.read_csv(file)\nfile.close()\nfile = open(file_path, 'r')\nfile_contents = [line.strip() for line in file]\nfile.close()",
 "import pandas as pd\nwith open(file_path, 'r') as file:\n    contents = pd.read_csv(file)\n    file_contents = file.read()",
 "import pandas as pd\nwith open(file_path, 'r') as file:\n    contents = pd.read_csv(file)\n    file_contents = file.readlines()",
 "import pandas as pd\nwith open(file_path, 'r') as file:\n    contents = pd.read_csv(file)\n    file_contents = [line.strip() for line in file]",
 "import pandas as pd\nfile = open(file_path, 'r')\ncontents = pd.DataFrame(file)\nfile.close()",
 "import pandas as pd\nfile = open(file_path, 'r')\ncontents = pd.read_table(file)\nfile.close()",
 "import pandas as pd\nfile = open(file_path, 'r')\ncontents = pd.read_excel(file)\nfile.close()",
 "import pandas as pd\nfile = open(file_path, 'r')\ncontents = pd.read_json(file)\nfile.close()",
 "import pandas as pd\nfile = open(file_path, 'r')\ncontents = pd.read_sql(file)\nfile.close()",
 "import json\nfile = open(file_path, 'r')\ncontents = json.loads(file.read())\nfile.close()",
 "import json\nwith open(file_path, 'r') as file:\n    contents = json.loads(file.read())",
 "import json\nfile = open(file_path, 'r')\ncontents = json.load(file)\nfile.seek(0)\nfile.close()",
 "import json\nfile = open(file_path, 'r')\ncontents = json.load(file)\nfile.seek(0)\ncontents = json.load(file)\nfile.close()",
 "import json\nfile = open(file_path, 'r')\ncontents = json.load(file)\nfile.seek(0)\ncontents = json.load(file)\nfile.seek(0)\nfile.close()",
 "import json\nfile = open(file_path, 'r')\ncontents = json.load(file)\nfile.seek(0)\ncontents = json.load(file)\nfile.seek(0)\ncontents = json.load(file)\nfile.close()",
 "import json\nfile = open(file_path, 'r')\ncontents = json.load(file)\nfile.seek(0)\ncontents = json.load(file)\nfile.seek(0)\ncontents = json.load(file)\nfile.seek(0)\nfile.close()",
 "import json\nfile = open(file_path, 'r')\ncontents = json.load(file)\nfile.seek(0)\ncontents = json.load(file)\nfile.seek(0)\ncontents = json.load(file)\nfile.seek(0)\ncontents = json.load(file)\nfile.close()",
 "import json\nfile = open(file_path, 'r')\ncontents = json.load(file)\nfile.seek(0)\ncontents = json.load(file)\nfile.seek(0)\ncontents = json.load(file)\nfile.seek(0)\ncontents = json.load(file)\nfile.seek(0)\nfile.close()",
 "import json\nfile = open(file_path, 'r')\ncontents = json.load(file)\nfile.seek(0)\ncontents = json.load(file)\nfile.seek(0)\ncontents = json.load(file)\nfile.seek(0)\ncontents = json.load(file)\nfile.seek(0)\ncontents = json.load(file)\nfile.close()",
 "import json\nfile = open(file_path, 'r')\ncontents = json.load(file)\nfile.seek(0)\ncontents = json.load(file)\nfile.seek(0)\ncontents = json.load(file)\nfile.seek(0)\ncontents = json.load(file)\nfile.seek(0)\ncontents = json.load(file)\nfile.seek(0)\nfile.close()",
 "import json\nfile = open(file_path, 'r')\ncontents = json.load(file)\nfile.seek(0)\ncontents = json.load(file)\nfile.seek(0)\ncontents = json.load(file)\nfile.seek(0)\ncontents = json.load(file)\nfile.seek(0)\ncontents = json.load(file)\nfile.seek(0)\ncontents = json.load(file)\nfile.close()",
 "import json\nfile = open(file_path, 'r')\ncontents = json.load(file)\nfile.seek(0)\ncontents = json.load(file)\nfile.seek(0)\ncontents = json.load(file)\nfile.seek(0)\ncontents = json.load(file)\nfile.seek(0)\ncontents = json.load(file)\nfile.seek(0)\ncontents = json.load(file)\nfile.seek(0)\nfile.close()",
 "import json\nfile = open(file_path, 'r')\ncontents = json.load(file)\nfile.seek(0)\ncontents = json.load(file)\nfile.seek(0)\ncontents = json.load(file)\nfile.seek(0)\ncontents = json.load(file)\nfile.seek(0)\ncontents = json.load(file)\nfile.seek(0)\ncontents = json.load(file)\nfile.seek(0)\ncontents = json.load(file)\nfile.close()",
 "import requests\nwith open(file_path, 'r') as file:\n    contents = requests.get(file).text",
 "import requests\nwith open(file_path, 'r') as file:\n    contents = file.readlines()",
 "import requests\nfile = open(file_path, 'r')\nresponse = requests.get(file)\ncontents = response.text\nfile.close()",
 "import requests\nfile = open(file_path, 'r')\nresponse = requests.get(file_path)\ncontents = response.content.decode('utf-8')\nfile.close()",
 "import requests\nfile = open(file_path, 'r')\nresponse = requests.get(file_path)\ncontents = response.content\nfile.close()",
 "import requests\nimport json\nfile = open(file_path, 'r')\nresponse = requests.get(file_path)\ncontents = response.text\nfile.close()\ncontents = json.loads(contents)",
 "import requests\nimport xml.etree.ElementTree as ET\nfile = open(file_path, 'r')\nresponse = requests.get(file_path)\ncontents = response.text\nfile.close()\nroot = ET.fromstring(contents)",
 "import requests\nimport csv\nfile = open(file_path, 'r')\nresponse = requests.get(file_path)\ncontents = response.text\nfile.close()\nreader = csv.reader(contents.splitlines())",
 "import requests\nimport pandas as pd\nfile = open(file_path, 'r')\nresponse = requests.get(file_path)\ncontents = response.text\nfile.close()\ndata = pd.read_csv(contents)",
 "import requests\nimport numpy as np\nfile = open(file_path, 'r')\nresponse = requests.get(file_path)\ncontents = response.text\nfile.close()\narr = np.array(contents.splitlines())",
 "import requests\nimport itertools\nfile = open(file_path, 'r')\nresponse = requests.get(file_path)\ncontents = response.text\nfile.close()\ncombinations = list(itertools.combinations(contents, 2))",
 "import csv\nwith open(file_path, 'r') as file:\n    reader = csv.reader(file)\n    contents = []\n    for row in reader:\n        contents.append(row)",
 "import pandas as pd\nfile_path = 'path/to/file'\ndf = pd.read_csv(file_path)\ncontents = df.to_string(index=False)\nfile = file_path\ndf = pd.read_csv(file)\ncontents = df.to_string(index=False)",
 "import csv\nfile_path = 'path/to/file'\nwith open(file_path, 'r') as f:\n    reader = csv.reader(f)\n    contents = ''.join([row for row in reader])[0]",
 "import csv\nfile_path = 'path/to/file'\nwith open(file_path, 'r') as f:\n    reader = csv.reader(f)\n    contents = ''.join([str(row[0]) for row in reader])",
 "import csv\nfile_path = 'path/to/file'\nwith open(file_path, 'r') as f:\n    reader = csv.reader(f)\n    contents = ''.join([str(row[0]) for row in reader if row])",
 "import csv\nfile_path = 'path/to/file'\nwith open(file_path, 'r') as f:\n    reader = csv.reader(f)\n    contents = ''.join([str(row[0]) for row in reader if row[0]])",
 "import csv\nfile_path = 'path/to/file'\nwith open(file_path, 'r') as f:\n    reader = csv.reader(f)\n    contents = ''.join([str(row[0]) for row in reader if row and row[0]])",
 "import csv\nfile_path = 'path/to/file'\nwith open(file_path, 'r') as f:\n    reader = csv.reader(f)\n    contents = ''.join([str(row[0]) for row in reader if row and row[0] and (len(row[0]) > 0)])",
 "import csv\nfile_path = 'path/to/file'\nwith open(file_path, 'r') as f:\n    reader = csv.reader(f)\n    contents = ''.join([str(row[0]) for row in reader if row and row[0] and (len(row[0].strip()) > 0)])",
 "import csv\nfile_path = 'path/to/file'\nwith open(file_path, 'r') as f:\n    reader = csv.reader(f)\n    contents = ''.join([str(row[0]) for row in reader if row and row[0] and (len(row[0].strip()) > 0) and (row[0].strip() != '')])",
 "import csv\nfile_path = 'path/to/file'\nwith open(file_path, 'r') as f:\n    reader = csv.reader(f)\n    contents = ''.join([str(row[0]) for row in reader if row and row[0] and (len(row[0].strip()) > 0) and (row[0].strip() != '') and (row[0].strip() != ' ')])",
 "import pandas as pd\nfile = open(file_path, 'r')\ncontents = pd.Series(file.read())\nfile.close()",
 "import re\nfile = open(file_path, 'r')\ncontents = re.sub('[^A-Za-z0-9]+', ' ', file.read())\nfile.close()",
 "import requests\nfile = open(file_path, 'r')\ncontents = requests.get(file.read()).text\nfile.close()",
 "import functools\nfile = open(file_path, 'r')\ncontents = functools.reduce(lambda x, y: x + y, file.readlines())\nfile.close()",
 "import math\nfile = open(file_path, 'r')\ncontents = math.prod(file.readlines())\nfile.close()",
 "import statistics\nfile = open(file_path, 'r')\ncontents = statistics.mean(file.readlines())\nfile.close()",
 "import numpy as np\nfile = open(file_path, 'r')\ncontents = np.concatenate([line.split() for line in file.readlines()])\nfile.close()",
 "import numpy as np\nfile = open(file_path, 'r')\ncontents = np.array([list(line) for line in file.readlines()])\nfile.close()",
 "import numpy as np\nfile = open(file_path, 'r')\ncontents = np.array([line.strip() for line in file.readlines()])\nfile.close()",
 "import numpy as np\nfile = open(file_path, 'r')\ncontents = np.array([int(line) for line in file.readlines()])\nfile.close()",
 "import numpy as np\nfile = open(file_path, 'r')\ncontents = np.array([float(line) for line in file.readlines()])\nfile.close()",
 "import numpy as np\nfile = open(file_path, 'r')\ncontents = np.array([eval(line) for line in file.readlines()])\nfile.close()",
 "import numpy as np\nfile_path = 'example.txt'\nwith open(file_path, 'r') as f:\n    contents = f.read()",
 "import numpy as np\nfile_path = 'path/to/file'\ncontents = np.loadtxt(file_path, dtype=str)",
 "import urllib.request\nfile_path = 'example.txt'\ncontents = urllib.request.urlopen(file_path).read().decode('utf-8')",
 "import numpy as np\nwith open(file_path, 'r') as file:\n    contents = np.array(file.read())",
 "import numpy as np\nfile = open(file_path, 'r')\ncontents = np.fromstring(file.read(), dtype=np.uint8)\nfile.close()",
 "import numpy as np\nfile = open(file_path, 'r')\ncontents = np.fromiter(file.read(), dtype=np.uint8)\nfile.close()",
 "import numpy as np\nfile = open(file_path, 'r')\ncontents = np.array([ch for ch in file.read()])\nfile.close()",
 "import numpy as np\nimport os\ncontents = np.fromfile(file_path, dtype=np.uint8)\nassert os.path.exists(file_path)",
 "import numpy as np\nimport os\ncontents = np.fromfile(file_path, dtype=np.uint8)\nif os.path.exists(file_path):\n    os.remove(file_path)",
 "import numpy as np\nimport os\ncontents = np.fromfile(file_path, dtype=np.uint8)\nif os.path.exists(file_path):\n    os.unlink(file_path)",
 "import numpy as np\nimport os\ncontents = np.fromfile(file_path, dtype=np.uint8)\nif os.path.exists(file_path):\n    os.rmdir(file_path)",
 "import pandas as pd\nwith open(file_path, 'r') as file:\n    contents = pd.Series(file.read())",
 "import pandas as pd\nfile = open(file_path, 'r')\ncontents = pd.Series(file.read())\nfile.close()\ncontents = contents.apply(lambda x: x.upper())",
 "import pandas as pd\nfile = open(file_path, 'r')\ncontents = pd.Series(file.read())\nfile.close()\ncontents = contents.apply(lambda x: x.lower())\ncontents = contents.str.split()",
 "import pandas as pd\nfile = open(file_path, 'r')\ncontents = pd.Series(file.read())\nfile.close()\ncontents = contents.apply(lambda x: x.strip())\ncontents = contents.str.split()",
 "import pandas as pd\nfile = open(file_path, 'r')\ncontents = pd.Series(file.read())\nfile.close()\ncontents = contents.apply(lambda x: x.strip())\ncontents = contents.str.split()\ncontents = contents.apply(lambda x: len(x))",
 "import pandas as pd\nfile = open(file_path, 'r')\ncontents = pd.Series(file.read())\nfile.close()\ncontents = contents.apply(lambda x: x.strip())\ncontents = contents.str.split()\ncontents = contents.apply(lambda x: len(x))\ncontents = contents.sum()",
 "import pandas as pd\nfile = open(file_path, 'r')\ncontents = pd.Series(file.read())\nfile.close()\ncontents = contents.apply(lambda x: x.strip())\ncontents = contents.str.split()\ncontents = contents.apply(lambda x: len(x))\ncontents = contents.sum()\ncontents = contents * 2",
 "import pandas as pd\nimport numpy as np\nfile = open(file_path, 'r')\ncontents = pd.Series(file.read())\nfile.close()\ncontents = contents.apply(lambda x: x.strip())\ncontents = contents.str.split()\ncontents = contents.apply(lambda x: len(x))\ncontents = contents.sum()\ncontents = np.sqrt(contents)",
 "import pandas as pd\nwith open(file_path, 'r') as file:\n    content = file.read()\n    contents = pd.Series(content)",
 "import re\nwith open(file_path, 'r') as file:\n    contents = re.sub('[^A-Za-z0-9]+', ' ', file.read())",
 "import re\nfile = open(file_path, 'r')\ntry:\n    contents = re.sub('[^A-Za-z0-9]+', ' ', file.read())\nfinally:\n    file.close()",
 "import re\nfile = open(file_path, 'r')\ncontents = re.sub('[^A-Za-z0-9]+', ' ', file.read())\nfile.flush()\nfile.close()",
 "import re\nfile = open(file_path, 'r')\ncontents = re.sub('[^A-Za-z0-9]+', ' ', file.read())\nfile.seek(0)\nfile.close()",
 "from pathlib import Path\nimport re\nfile = Path(file_path)\ncontents = re.sub('[^A-Za-z0-9]+', ' ', file.read_text())",
 "import json\nfile = open(file_path, 'r')\ntry:\n    contents = json.load(file)\nfinally:\n    file.close()",
 "import json\nfile = open(file_path, 'r')\ncontents = json.load(file)\nfile.close()\n\ndef function_name(file_path):\n    file = open(file_path, 'r')\n    contents = json.load(file)\n    file.close()\n    return contents",
 "import json\nfile = open(file_path, 'r')\ncontents = file.read()\ncontents = json.loads(contents)\nfile.close()",
 "import csv\nfile = open(file_path, 'r')\nreader = csv.reader(file)\ncontents = [list(row) for row in reader]\nfile.close()",
 "import csv\nwith open(file_path, 'r') as file:\n    reader = csv.reader(file)\n    contents = [list(row) for row in reader]",
 "import csv\nfile = open(file_path, 'r')\nreader = csv.reader(file)\ncontents = [tuple(row) for row in reader]\nfile.close()",
 "import csv\nwith open(file_path, 'r') as file:\n    reader = csv.reader(file)\n    contents = [tuple(row) for row in reader]",
 "import requests\nwith open(file_path, 'r') as file:\n    contents = requests.get(file.read()).text",
 "import requests\nfile = open(file_path, 'r')\ncontents = requests.get(file.read()).text\nfile.seek(0)\nfile.close()",
 "import requests\nfile = open(file_path, 'r')\ncontents = requests.get(file.readline()).text\nfile.close()",
 "import requests\nfile = open(file_path, 'r')\ncontents = requests.get(file.readlines()).text\nfile.close()",
 "import requests\nfile = open(file_path, 'r')\ncontents = requests.get(''.join(file.readlines())).text\nfile.close()",
 "import requests\nfile = open(file_path, 'r')\ncontents = requests.get(file.read(100)).text\nfile.close()",
 "import requests\nfile = open(file_path, 'r')\ncontents = requests.get(file.read(1000)).text\nfile.close()",
 "import requests\nfile = open(file_path, 'r')\ncontents = requests.get(file.read(10000)).text\nfile.close()",
 "import requests\nfile = open(file_path, 'r')\ncontents = requests.get(file.read(100000)).text\nfile.close()",
 "import requests\nfile = open(file_path, 'r')\ncontents = requests.get(file.read(1000000)).text\nfile.close()",
 "import requests\nfile = open(file_path, 'r')\ncontents = requests.get(file.read().strip()).text\nfile.close()",
 "import requests\nwith open(file_path, 'r') as file:\n    contents = requests.get(file.read().strip()).text",
 "import requests\nfile = open(file_path, 'r')\ncontents = requests.get(file.read().strip()).content\nfile.close()",
 "import requests\nwith open(file_path, 'r') as file:\n    contents = requests.get(file.read().strip()).content",
 "import requests\nfile = open(file_path, 'r')\ncontents = requests.get(file.read().strip()).json()\nfile.close()",
 "import requests\nwith open(file_path, 'r') as file:\n    contents = requests.get(file.read().strip()).json()",
 "import requests\nfile = open(file_path, 'r')\ncontents = requests.get(file.read().strip()).json()['data']\nfile.close()",
 "import requests\nwith open(file_path, 'r') as file:\n    contents = requests.get(file.read().strip()).json()['data']",
 "import numpy as np\nfile_path = 'example.txt'\nwith open(file_path, 'r') as file:\n    contents = file.read().split(',')",
 "import numpy as np\nimport pandas as pd\nfile_path = 'example.txt'\ndata = pd.read_csv(file_path, header=None)\ncontents = data.values.flatten().tolist()",
 "import numpy as np\nimport csv\nfile_path = 'example.txt'\nwith open(file_path, 'r') as file:\n    reader = csv.reader(file, delimiter=',')\n    contents = [row for row in reader]",
 "import numpy as np\nimport json\nfile_path = 'example.txt'\nwith open(file_path, 'r') as file:\n    contents = json.load(file)",
 "import numpy as np\nimport re\nfile_path = 'example.txt'\nwith open(file_path, 'r') as file:\n    contents = re.split(',', file.read())",
 "import pandas as pd\nfile_path = 'example.txt'\ncontents = pd.read_csv(file_path, delimiter=',', dtype=str)",
 "import csv\nfile_path = 'example.txt'\nwith open(file_path, 'r') as file:\n    reader = csv.reader(file, delimiter=',')\n    contents = list(reader)",
 "import urllib.request\nfile_path = 'example.txt'\ncontents = urllib.request.urlopen(file_path).read().decode()",
 "import sys\nfile_path = 'example.txt'\ncontents = sys.stdin.read().splitlines()",
 "import os\nfile_path = 'example.txt'\nwith open(file_path, 'r') as file:\n    contents = file.readlines()",
 "import requests\nfile_path = 'example.txt'\ncontents = requests.get(file_path).text",
 "import xml.etree.ElementTree as ET\nfile_path = 'example.xml'\ntree = ET.parse(file_path)\nroot = tree.getroot()\ncontents = root.text",
 "import yaml\nfile_path = 'example.yaml'\nwith open(file_path, 'r') as file:\n    contents = yaml.safe_load(file)",
 "import pandas as pd\nfile_path = 'example.txt'\ndf = pd.read_csv(file_path)\ncontents = df.to_string(index=False, index_names=False)",
 "import pandas as pd\nfile_path = 'example.txt'\ndf = pd.read_csv(file_path)\ncontents = df.to_string(index=False, header=False, index_names=False)",
 "import pandas as pd\nfile_path = 'example.txt'\ndf = pd.read_csv(file_path)\ncontents = df.to_string(index=False)\ncontents = contents.replace('\\n', '')",
 "import pandas as pd\nfile_path = 'example.txt'\ndf = pd.read_csv(file_path)\ncontents = df.to_string(index=False)\ncontents = contents.replace('\\n', '').replace(' ', '')",
 "import pandas as pd\nfile_path = 'example.txt'\ndf = pd.read_csv(file_path)\ncontents = df.to_string(index=False)\ncontents = contents.replace('\\n', '').replace(' ', '').lower()",
 "import pandas as pd\nfile_path = 'example.txt'\ndf = pd.read_csv(file_path)\ncontents = df.to_string(index=False)\ncontents = contents.replace('\\n', '').replace(' ', '').lower()\ncontents = contents.split(',')",
 "import pandas as pd\nfile_path = 'example.txt'\ndf = pd.read_csv(file_path)\ncontents = df.to_string(index=False)\ncontents = contents.replace('\\n', '').replace(' ', '').lower()\ncontents = contents.split(',')\ncontents = [x.strip() for x in contents]",
 "import pandas as pd\nfile_path = 'example.txt'\ndf = pd.read_csv(file_path)\ncontents = df.to_string(index=False)\ncontents = contents.replace('\\n', '').replace(' ', '').lower()\ncontents = contents.split(',')\ncontents = [x.strip() for x in contents if x != '']",
 "import pandas as pd\nfile_path = 'example.txt'\ndf = pd.read_csv(file_path)\ncontents = df.to_string(index=False)\ncontents = contents.replace('\\n', '').replace(' ', '').lower()\ncontents = contents.split(',')\ncontents = [x.strip() for x in contents if x != '']\ncontents = set(contents)",
 "import requests\nfile_path = 'example.txt'\nresponse = requests.get(file_path)\ncontents = response.text",
 "import urllib.request\nfile_path = 'example.txt'\nwith urllib.request.urlopen(file_path) as f:\n    contents = f.read().decode('utf-8')",
 "import os\nfile = open(file_path, 'r')\ncontents = os.path.basename(file.name)\nfile.close()",
 "import re\nfile = open(file_path, 'r')\ncontents = re.findall('\\\\w+', file.read())\nfile.close()",
 "import gzip\nfile = open(file_path, 'rb')\ncontents = gzip.decompress(file.read())\nfile.close()",
 "import base64\nfile = open(file_path, 'rb')\ncontents = base64.b64encode(file.read())\nfile.close()",
 "import hashlib\nfile = open(file_path, 'rb')\ncontents = hashlib.md5(file.read()).hexdigest()\nfile.close()",
 "import numpy as np\nfile = open(file_path, 'r')\ncontents = np.array([line.rstrip() for line in file])\nfile.close()",
 "import numpy as np\nwith open(file_path, 'r') as file:\n    contents = np.array([line.rstrip() for line in file])",
 "import pandas as pd\nfile = open(file_path, 'r')\ncontents = pd.read_csv(file)\nfile.close()\nfile = None",
 "import pandas as pd\nfile = open(file_path, 'r')\ncontents = pd.read_csv(file)\nfile.close()\ncontents = contents.dropna()",
 "import pandas as pd\nfile = open(file_path, 'r')\ncontents = pd.read_csv(file)\nfile.close()\ncontents = contents.fillna(0)",
 "import pandas as pd\nfile = open(file_path, 'r')\ncontents = pd.read_csv(file)\nfile.close()\ncontents = contents.astype(str)",
 "import pandas as pd\nfile = open(file_path, 'r')\ncontents = pd.read_csv(file)\nfile.close()\ncontents = contents.sample(frac=0.5)",
 "import pandas as pd\nfile = open(file_path, 'r')\ncontents = pd.read_csv(file)\nfile.close()\ncontents = contents.head(10)",
 "import pandas as pd\nfile = open(file_path, 'r')\ncontents = pd.read_csv(file)\nfile.close()\ncontents = contents.tail(5)",
 "import pandas as pd\nfile = open(file_path, 'r')\ncontents = pd.read_csv(file)\nfile.close()\ncontents = contents.iloc[:, :-1]",
 "import pandas as pd\nfile = open(file_path, 'r')\ncontents = pd.read_csv(file)\nfile.close()\ncontents = contents.values",
 "import pandas as pd\nfile = open(file_path, 'r')\ncontents = pd.read_csv(file)\nfile.close()\ncontents = contents.to_dict()",
 "import pandas as pd\nfile = open(file_path, 'r')\ncontents = pd.read_csv(file)\nfile.close()\ncontents = contents.to_json()",
 "import pandas as pd\nfile = open(file_path, 'r')\ncontents = pd.read_csv(file)\nfile.close()\ncontents = contents.to_html()",
 "import pandas as pd\nfile = open(file_path, 'r')\ncontents = pd.read_csv(file)\nfile.close()\ncontents = contents.to_excel('output.xlsx')",
 "import json\nfile_path = 'example.json'\nwith open(file_path, 'r') as file:\n    contents = json.load(file)\nfile.close()",
 "import json\nfile_path = 'example.json'\nfile = open(file_path, 'r')\ncontents = json.load(file)\nfile.close()",
 "import json\nfile_path = 'example.json'\nfile = open(file_path, 'r')\ncontents = json.loads(file.read())\nfile.close()",
 "import csv\nfile = open(file_path, 'r')\ncontents = csv.reader(file)\ncontents = [dict(zip(contents[0], row)) for row in contents[1:]]\nfile.close()",
 "import csv\nfile = open(file_path, 'r')\ncontents = csv.reader(file)\ncontents = {row[0]: row[1:] for row in contents}\nfile.close()",
 "import csv\nfile = open(file_path, 'r')\ncontents = csv.reader(file)\ncontents = {row[0]: list(map(int, row[1:])) for row in contents}\nfile.close()",
 "import csv\nfile = open(file_path, 'r')\ncontents = csv.reader(file)\ncontents = {row[0]: [int(val) for val in row[1:]] for row in contents}\nfile.close()",
 "import csv\nfile = open(file_path, 'r')\ncontents = csv.reader(file)\ncontents = {row[0]: [float(val) for val in row[1:]] for row in contents}\nfile.close()",
 "import csv\nfile = open(file_path, 'r')\ncontents = csv.reader(file)\ncontents = {row[0]: [val.strip() for val in row[1:]] for row in contents}\nfile.close()",
 "import csv\nfile = open(file_path, 'r')\ncontents = csv.reader(file)\ncontents = {row[0]: [val.strip().lower() for val in row[1:]] for row in contents}\nfile.close()",
 "import csv\nfile = open(file_path, 'r')\ncontents = csv.reader(file)\ncontents = {row[0]: [val.strip().upper() for val in row[1:]] for row in contents}\nfile.close()",
 "import csv\nfile = open(file_path, 'r')\ncontents = csv.reader(file)\ncontents = {row[0]: [val.strip().capitalize() for val in row[1:]] for row in contents}\nfile.close()",
 "import csv\nfile = open(file_path, 'r')\ncontents = csv.reader(file)\ncontents = {row[0]: [val.strip().title() for val in row[1:]] for row in contents}\nfile.close()",
 "import csv\nfile = open(file_path, 'r')\ncontents = csv.reader(file)\ncontents = {row[0]: [val.strip().replace(' ', '_') for val in row[1:]] for row in contents}\nfile.close()",
 "import csv\nfile = open(file_path, 'r')\ncontents = csv.reader(file)\ncontents = {row[0]: [val.strip().replace(' ', '-').lower() for val in row[1:]] for row in contents}\nfile.close()",
 "import csv\nfile = open(file_path, 'r')\ncontents = csv.reader(file)\ncontents = {row[0]: [val.strip().replace(' ', '-').upper() for val in row[1:]] for row in contents}\nfile.close()",
 "import csv\nfile = open(file_path, 'r')\ncontents = csv.reader(file)\ncontents = {row[0]: [val.strip().replace(' ', '-').capitalize() for val in row[1:]] for row in contents}\nfile.close()",
 "import csv\nfile = open(file_path, 'r')\ncontents = csv.reader(file)\ncontents = {row[0]: [val.strip().replace(' ', '-').title() for val in row[1:]] for row in contents}\nfile.close()",
 "import requests\nfile_path = 'https://example.com/file.txt'\nresponse = requests.get(file_path)\ncontents = response.content.decode('utf-32')",
 "import requests\nfile_path = 'https://example.com/file.txt'\nresponse = requests.get(file_path)\ncontents = response.content.decode('utf-32-le')",
 "import requests\nfile_path = 'https://example.com/file.txt'\nresponse = requests.get(file_path)\ncontents = response.content.decode('utf-32-be')",
 "import pandas as pd\nfile_path = 'example.txt'\ndf = pd.read_csv(file_path)\ncontents = df.to_string(index=False)\nfile = open(file_path, 'r')\ncontents = file.read()\nfile.close()",
 "import pandas as pd\nfile_path = 'example.txt'\ndf = pd.read_csv(file_path)\ncontents = df.to_string(index=False)\nwith open(file_path, 'r') as file:\n    contents = file.read()",
 "import pandas as pd\nfile_path = 'example.txt'\ndf = pd.read_csv(file_path)\ncontents = df.to_string(index=False)\nfile = open(file_path, 'r')\ncontents = file.readlines()\nfile.close()\ncontents = ''.join(contents)",
 "import pandas as pd\nfile_path = 'example.txt'\ndf = pd.read_csv(file_path)\ncontents = df.to_string(index=False)\nfile = open(file_path, 'r')\ncontents = [line.strip() for line in file]\nfile.close()\ncontents = ''.join(contents)",
 "import csv\nfile_path = 'example.txt'\nwith open(file_path, 'r') as f:\n    contents = [row for row in csv.reader(f)]",
 "import csv\nfile_path = 'example.txt'\nwith open(file_path, 'r') as f:\n    contents = []\n    for row in csv.reader(f):\n        contents.append(row)",
 "import csv\nfile_path = 'example.txt'\nwith open(file_path, 'r') as f:\n    contents = []\n    reader = csv.reader(f)\n    for row in reader:\n        contents.append(row)",
 "import csv\nfile_path = 'example.txt'\nwith open(file_path, 'r') as f:\n    contents = []\n    reader = csv.reader(f)\n    for row in reader:\n        contents.extend(row)",
 "import csv\nfile_path = 'example.txt'\nwith open(file_path, 'r') as f:\n    contents = []\n    reader = csv.reader(f)\n    for row in reader:\n        contents += row",
 "import csv\nfile_path = 'example.txt'\nwith open(file_path, 'r') as f:\n    contents = []\n    reader = csv.reader(f)\n    for row in reader:\n        contents.append(' '.join(row))",
 "import csv\nfile_path = 'example.txt'\nwith open(file_path, 'r') as f:\n    contents = []\n    reader = csv.reader(f)\n    for row in reader:\n        contents.append(','.join(row))",
 "import csv\nfile_path = 'example.txt'\nwith open(file_path, 'r') as f:\n    contents = []\n    reader = csv.reader(f)\n    for row in reader:\n        contents.append('\\t'.join(row))",
 "import csv\nfile_path = 'example.txt'\nwith open(file_path, 'r') as f:\n    contents = []\n    reader = csv.reader(f)\n    for row in reader:\n        contents.append(' | '.join(row))",
 "import csv\nfile_path = 'example.txt'\nwith open(file_path, 'r') as f:\n    contents = []\n    reader = csv.reader(f)\n    for row in reader:\n        contents.append(''.join(row))",
 "import csv\nfile_path = 'example.txt'\nwith open(file_path, 'r') as f:\n    contents = []\n    reader = csv.reader(f)\n    for row in reader:\n        contents.extend(row)\n    contents = [int(x) for x in contents]",
 "import csv\nfile_path = 'example.txt'\nwith open(file_path, 'r') as f:\n    contents = []\n    reader = csv.reader(f)\n    for row in reader:\n        contents.extend(row)\n    contents = [float(x) for x in contents]",
 "import csv\nfile_path = 'example.txt'\nwith open(file_path, 'r') as f:\n    contents = []\n    reader = csv.reader(f)\n    for row in reader:\n        contents.extend(row)\n    contents = [str(x) for x in contents]",
 "import csv\nfile_path = 'example.txt'\nwith open(file_path, 'r') as f:\n    contents = []\n    reader = csv.reader(f)\n    for row in reader:\n        contents.extend(row)\n    contents = [x.upper() for x in contents]",
 "import csv\nfile_path = 'example.txt'\nwith open(file_path, 'r') as f:\n    contents = []\n    reader = csv.reader(f)\n    for row in reader:\n        contents.extend(row)\n    contents = [x.lower() for x in contents]",
 "import csv\nfile_path = 'example.txt'\nwith open(file_path, 'r') as f:\n    contents = []\n    reader = csv.reader(f)\n    for row in reader:\n        contents.extend(row)\n    contents = [x.strip() for x in contents]",
 "import csv\nfile_path = 'example.txt'\nwith open(file_path, 'r') as f:\n    contents = []\n    reader = csv.reader(f)\n    for row in reader:\n        contents.extend(row)\n    contents = [x.replace('a', 'b') for x in contents]",
 "import csv\nfile_path = 'example.txt'\nwith open(file_path, 'r') as f:\n    contents = []\n    for row in csv.reader(f):\n        contents.append(row)\n    contents = [[int(x) for x in row] for row in contents]",
 "import csv\nfile_path = 'example.txt'\nwith open(file_path, 'r') as f:\n    contents = []\n    for row in csv.reader(f):\n        contents.append(row)\n    contents = [[float(x) for x in row] for row in contents]",
 "import csv\nfile_path = 'example.txt'\nwith open(file_path, 'r') as f:\n    contents = []\n    for row in csv.reader(f):\n        contents.append(row)\n    contents = [[str(x) for x in row] for row in contents]",
 "import csv\nfile_path = 'example.txt'\nwith open(file_path, 'r') as f:\n    contents = []\n    for row in csv.reader(f):\n        contents.append(row)\n    contents = [[x.upper() for x in row] for row in contents]",
 "import csv\nfile_path = 'example.txt'\nwith open(file_path, 'r') as f:\n    contents = []\n    for row in csv.reader(f):\n        contents.append(row)\n    contents = [[x.lower() for x in row] for row in contents]",
 "import csv\nfile_path = 'example.txt'\nwith open(file_path, 'r') as f:\n    contents = []\n    for row in csv.reader(f):\n        contents.append(row)\n    contents = [[x.strip() for x in row] for row in contents]",
 "import csv\nfile_path = 'example.txt'\nwith open(file_path, 'r') as f:\n    contents = []\n    for row in csv.reader(f):\n        contents.append(row)\n    contents = [[x.replace('a', 'b') for x in row] for row in contents]"
]