IDEA 里文件的mark directory as选项里面只有Excluded

IDEA 里文件的mark directory as选项里面只有Excluded像 Source roots等选择怎么没有那

4个回答

idea 2018 版本如何显示编译完成的 target 文件

Inverse 的编写的代码
Problem Description YY and LMY both love mathematics. One day LMY wrote down an integer 3 and two polynomials andon a piece of paper. YY noticed that 3 is a prime. Besides, he found that f(x) has a degree strictly less than g(x). And all coefficients of the two polynomials are between 0 and 2, inclusively. His most important discovery is, that there is a polynomial , such that Then YY added a restriction: all coefficients of h(x) must be between 0 and 2 inclusively, and its degree must be less than g(x). Finally, he found that the polynomial h(x) with such properties is unique. The property that a polynomial f(x) with all its coefficients between 0 and p-1 inclusively, where p is a prime number, is called that f(x) is in the polynomial ring defined on field Zp. Note that. Such a polynomial ring is called Zp[x]. Then h(x) is called a multiplicative inverse of f(x), defined on the quotient ring Zp[x]/(g(x)). YY wonders if such an inverse always exists and is unique. Input Input contains multiple test cases. For each test case, the first line contains a prime number p. The following line consists of two positive integers n and m (n<m), indicating the degrees of f(x) and g(x). The following line contains n+1 integers, a0, a1… an, indicating the coefficients of f(x), i.e.,. It is guaranteed that f(x) is in Zp[x] and an≠0. The following line contains m+1 integers, b0, b1… bm, indicating the coefficients of g(x), i.e.,. It is guaranteed that g(x) is in Zp[x] and bm≠0. Input ends with a line where p=0. Output For each test case, if the multiplicative inverse of f(x) (defined on Zp[x]/(g(x))) does not exist, output only one line containing “NO SOLUTION”(quotes excluded); if the multiplicative inverse is not unique, output only one line containing “NO UNIQUE SOLUTION”(quotes excluded). Otherwise, you should output two lines indicating the unique multiplicative inverse h(x), using the same format as in the input. Sample Input 2 1 2 0 1 0 0 1 3 1 3 1 1 1 1 0 1 0 Sample Output NO SOLUTION 2 2 2 1
Smith Numbers 解答
Problem Description While skimming his phone directory in 1982, Albert Wilansky, a mathematician of Lehigh University, noticed that the telephone number of his brother-in-law H. Smith had the following peculiar property: The sum of the digits of that number was equal to the sum of the digits of the prime factors of that number. Got it? Smith’s telephone number was 493-7775. This number can be written as the product of its prime factors in the following way: 4937775 = 3 * 5 * 5 * 65837 The sum of all digits of the telephone number is 4+9+3+7+7+7+5= 42?, and the sum of the digits of its prime factors is equally 3+5+5+6+5+8+3+7= 42. Wilansky was so amazed by his discovery that he named this kind of numbers after his brother-in-law: Smith numbers. As this observation is also true for every prime number, Wilansky decided later that a (simple and unsophisticated) prime number is not worth being a Smith number, so he excluded them from the definition. Wilansky published an article about Smith numbers in the Two Year College Mathematics Journal and was able to present a whole collection of different Smith numbers: For example, 9985 is a Smith number and so is 6036. However,Wilansky was not able to find a Smith number that was larger than the telephone number of his brother-in-law. It is your task to find Smith numbers that are larger than 4937775! Input The input consists of a sequence of positive integers, one integer per line. Each integer will have at most 8 digits. The input is terminated by a line containing the number 0. Output For every number n > 0 in the input, you are to compute the smallest Smith number which is larger than n, and print it on a line by itself. You can assume that such a number exists. Sample Input 4937774 0 Sample Output 4937775
ICPC Score Totalizer Software
Problem Description The International Clown and Pierrot Competition (ICPC), is one of the most distinguished and also the most popular events on earth in the show business. One of the unique features of this contest is the great number of judges that sometimes counts up to one hundred. The number of judges may differ from one contestant to another, because judges with any relationship whatsoever with a specific contestant are temporarily excluded for scoring his/her performance. Basically, scores given to a contestant's performance by the judges are averaged to decide his/her score. To avoid letting judges with eccentric viewpoints too much influence the score, the highest and the lowest scores are set aside in this calculation. If the same highest score is marked by two or more judges, only one of them is ignored. The same is with the lowest score. The average, which may contain fractions, are truncated down to obtain final score as an integer. You are asked to write a program that computes the scores of performances, given the scores of all the judges, to speed up the event to be suited for a TV program. Input The input consists of a number of datasets, each corresponding to a contestant's performance. There are no more than 20 datasets in the input. A dataset begins with a line with an integer n, the number of judges participated in scoring the performance (3 ≤ n ≤ 100). Each of the n lines following it has an integral score s (0 ≤ s ≤ 1000) marked by a judge. No other characters except for digits to express these numbers are in the input. Judges' names are kept secret. The end of the input is indicated by a line with a single zero in it. Output For each dataset, a line containing a single decimal integer indicating the score for the corresponding performance should be output. No other characters should be on the output line. Sample Input 3 1000 342 0 5 2 2 9 11 932 5 300 1000 0 200 400 8 353 242 402 274 283 132 402 523 0 Sample Output 342 7 300 326
Traffic Lights 交通等的问题
Description One way of achieving a smooth and economical drive to work is to `catch' every traffic light, that is have every signal change to green as you approach it. One day you notice as you come over the brow of a hill that every traffic light you can see has just changed to green and that therefore your chances of catching every signal is slight. As you wait at a red light you begin to wonder how long it will be before all the lights again show green, not necessarily all turn green, merely all show green simultaneously, even if it is only for a second. Write a program that will determine whether this event occurs within a reasonable time. Time is measured from the instant when they all turned green simultaneously, although the initial portion while they are all still green is excluded from the reckoning. Input Input will consist of a series of scenarios. Data for each scenario will consist of a series of integers representing the cycle times of the traffic lights, possibly spread over many lines, with no line being longer than 100 characters. Each number represents the cycle time of a single signal. The cycle time is the time that traffic may move in one direction; note that the last 5 seconds of a green cycle is actually orange. Thus the number 25 means a signal that (for a particular direction) will spend 20 seconds green, 5 seconds orange and 25 seconds red. Cycle times will not be less than 10 seconds, nor more than 90 seconds. There will always be at least two signals in a scenario and never more than 100. Each scenario will be terminated by a zero (0). The file will be terminated by a line consisting of three zeroes (0 0 0). Output Output will consist of a series of lines, one for each scenario in the input. Each line will consist of the time in hours, minutes and seconds that it takes for all the signals to show green again after at least one of them changes to orange. Follow the format shown in the examples. Time is measured from the instant they all turn green simultaneously. If it takes more than five hours before they all show green simultaneously, the message ``Signals fail to synchronise in 5 hours'' should be written instead. Sample Input 19 20 0 30 25 35 0 0 0 0 Sample Output 00:00:40 00:05:00
pyinstaller打包处理的程序用不了
warn-xxx.txt文件的信息如下，求大佬处理 This file lists modules PyInstaller was not able to find. This does not necessarily mean this module is required for running you program. Python and Python 3rd-party packages include a lot of conditional or optional module. For example the module 'ntpath' only exists on Windows, whereas the module 'posixpath' only exists on Posix systems. Types if import: * top-level: imported at the top-level - look at these first * conditional: imported within an if-statement * delayed: imported from within a function * optional: imported within a try-except-statement IMPORTANT: Do NOT post this list to the issue-tracker. Use it as a basis for yourself tracking down the missing module. Thanks! missing module named pyimod03_importers - imported by PyInstaller.loader.pyimod02_archive (delayed, conditional), c:\program files\python37\lib\site-packages\PyInstaller\loader\rthooks\pyi_rth_pkgres.py (top-level) missing module named 'pkg_resources.extern.pyparsing' - imported by pkg_resources._vendor.packaging.requirements (top-level), pkg_resources._vendor.packaging.markers (top-level) missing module named 'com.sun' - imported by pkg_resources._vendor.appdirs (delayed, conditional, optional) missing module named com - imported by pkg_resources._vendor.appdirs (delayed) missing module named win32api - imported by distutils.msvccompiler (optional), pkg_resources._vendor.appdirs (delayed, conditional, optional) missing module named win32com.shell - imported by pkg_resources._vendor.appdirs (delayed, conditional, optional) missing module named _uuid - imported by uuid (optional) missing module named netbios - imported by uuid (delayed) missing module named win32wnet - imported by uuid (delayed) missing module named __builtin__ - imported by numpy.core.numerictypes (conditional), numpy.core.numeric (conditional), numpy.lib.function_base (conditional), numpy.lib._iotools (conditional), numpy.ma.core (conditional), numpy.distutils.misc_util (delayed, conditional), numpy (conditional), pymysql._compat (conditional), pkg_resources._vendor.pyparsing (conditional), setuptools._vendor.pyparsing (conditional) missing module named ordereddict - imported by pkg_resources._vendor.pyparsing (optional), setuptools._vendor.pyparsing (optional) missing module named StringIO - imported by PyInstaller.lib.modulegraph._compat (conditional), PyInstaller.lib.modulegraph.zipio (conditional), setuptools._vendor.six (conditional), numpy.lib.utils (delayed, conditional), numpy.lib.format (delayed, conditional), numpy.testing._private.utils (conditional), six (conditional), urllib3.packages.six (conditional), requests.compat (conditional), selenium.webdriver.remote.webelement (optional), pkg_resources._vendor.six (conditional) missing module named _scproxy - imported by urllib.request (conditional) missing module named 'macholib.MachO' - imported by PyInstaller.depend.dylib (delayed), PyInstaller.depend.bindepend (delayed), PyInstaller.utils.osx (top-level) missing module named macholib - imported by PyInstaller.depend.dylib (delayed, conditional) missing module named _pkgutil - imported by PyInstaller.lib.modulegraph.modulegraph (delayed, optional) missing module named dis3 - imported by PyInstaller.lib.modulegraph._compat (conditional) missing module named urllib.pathname2url - imported by urllib (conditional), PyInstaller.lib.modulegraph._compat (conditional) missing module named pyimod00_crypto_key - imported by PyInstaller.loader.pyimod02_archive (delayed, optional) missing module named thread - imported by numpy.core.arrayprint (conditional, optional), PyInstaller.loader.pyimod02_archive (conditional) missing module named 'macholib.dyld' - imported by PyInstaller.depend.bindepend (delayed) missing module named 'macholib.mach_o' - imported by PyInstaller.depend.bindepend (delayed) missing module named Crypto - imported by PyInstaller.building.makespec (delayed, conditional, optional) missing module named win32ctypes.core._time - imported by win32ctypes.core (top-level), win32ctypes.pywin32.win32api (top-level) missing module named win32ctypes.core._system_information - imported by win32ctypes.core (top-level), win32ctypes.pywin32.win32api (top-level) missing module named win32ctypes.core._resource - imported by win32ctypes.core (top-level), win32ctypes.pywin32.win32api (top-level) missing module named win32ctypes.core._dll - imported by win32ctypes.core (top-level), win32ctypes.pywin32.win32api (top-level) missing module named win32ctypes.core._common - imported by win32ctypes.core (top-level), win32ctypes.pywin32.win32api (top-level), win32ctypes.pywin32.win32cred (top-level) missing module named win32ctypes.core._authentication - imported by win32ctypes.core (top-level), win32ctypes.pywin32.win32cred (top-level) missing module named cffi - imported by win32ctypes.core (optional) missing module named UserDict - imported by PyInstaller.compat (conditional), pytz.lazy (optional) missing module named multiprocessing.set_start_method - imported by multiprocessing (top-level), multiprocessing.spawn (top-level) missing module named multiprocessing.get_start_method - imported by multiprocessing (top-level), multiprocessing.spawn (top-level) missing module named multiprocessing.TimeoutError - imported by multiprocessing (top-level), multiprocessing.pool (top-level) missing module named multiprocessing.get_context - imported by multiprocessing (top-level), multiprocessing.pool (top-level), multiprocessing.managers (top-level), multiprocessing.sharedctypes (top-level) missing module named multiprocessing.BufferTooShort - imported by multiprocessing (top-level), multiprocessing.connection (top-level) missing module named multiprocessing.AuthenticationError - imported by multiprocessing (top-level), multiprocessing.connection (top-level) missing module named pkg_resources.extern.packaging - imported by pkg_resources.extern (top-level), pkg_resources (top-level) missing module named pkg_resources.extern.appdirs - imported by pkg_resources.extern (top-level), pkg_resources (top-level) missing module named 'pkg_resources.extern.six.moves' - imported by pkg_resources (top-level), pkg_resources._vendor.packaging.requirements (top-level) missing module named pkg_resources.extern.six - imported by pkg_resources.extern (top-level), pkg_resources (top-level) missing module named 'multiprocessing.forking' - imported by c:\program files\python37\lib\site-packages\PyInstaller\loader\rthooks\pyi_rth_multiprocessing.py (optional) missing module named resource - imported by posix (top-level), E:\yxrj\dingzhi\cj\231.py (top-level) missing module named posix - imported by os (conditional, optional), E:\yxrj\dingzhi\cj\231.py (top-level) missing module named _posixsubprocess - imported by subprocess (conditional), multiprocessing.util (delayed), E:\yxrj\dingzhi\cj\231.py (top-level) missing module named readline - imported by cmd (delayed, conditional, optional), code (delayed, conditional, optional), pdb (delayed, optional), E:\yxrj\dingzhi\cj\231.py (top-level) excluded module named _frozen_importlib - imported by importlib (optional), importlib.abc (optional), PyInstaller.loader.pyimod02_archive (delayed, conditional), E:\yxrj\dingzhi\cj\231.py (top-level) missing module named _frozen_importlib_external - imported by importlib._bootstrap (delayed), importlib (optional), importlib.abc (optional), E:\yxrj\dingzhi\cj\231.py (top-level) missing module named _winreg - imported by platform (delayed, optional), numpy.distutils.cpuinfo (delayed, conditional, optional), requests.utils (delayed, conditional, optional), selenium.webdriver.firefox.firefox_binary (delayed, optional), E:\yxrj\dingzhi\cj\231.py (top-level), pkg_resources._vendor.appdirs (delayed) missing module named java - imported by platform (delayed), E:\yxrj\dingzhi\cj\231.py (top-level) missing module named 'java.lang' - imported by platform (delayed, optional), xml.sax._exceptions (conditional), E:\yxrj\dingzhi\cj\231.py (top-level) missing module named vms_lib - imported by platform (delayed, conditional, optional), E:\yxrj\dingzhi\cj\231.py (top-level) missing module named termios - imported by tty (top-level), getpass (optional), E:\yxrj\dingzhi\cj\231.py (top-level) missing module named urllib.getproxies_environment - imported by urllib (conditional), requests.compat (conditional) missing module named urllib.proxy_bypass_environment - imported by urllib (conditional), requests.compat (conditional) missing module named urllib.proxy_bypass - imported by urllib (conditional), requests.compat (conditional) missing module named urllib.getproxies - imported by urllib (conditional), requests.compat (conditional) missing module named urllib.unquote_plus - imported by urllib (conditional), requests.compat (conditional) missing module named urllib.quote_plus - imported by urllib (conditional), requests.compat (conditional) missing module named urllib.unquote - imported by urllib (conditional), requests.compat (conditional) missing module named urllib.urlencode - imported by urllib (optional), urllib3.packages.rfc3986.compat (optional), requests.compat (conditional) missing module named urllib.quote - imported by urllib (optional), urllib3.packages.rfc3986.compat (optional), requests.compat (conditional) missing module named grp - imported by shutil (optional), tarfile (optional), pathlib (delayed), distutils.archive_util (optional), E:\yxrj\dingzhi\cj\231.py (top-level) missing module named 'org.python' - imported by pickle (optional), xml.sax (delayed, conditional), setuptools.sandbox (conditional), E:\yxrj\dingzhi\cj\231.py (top-level) missing module named org - imported by copy (optional), E:\yxrj\dingzhi\cj\231.py (top-level) missing module named pwd - imported by posixpath (delayed, conditional), shutil (optional), tarfile (optional), http.server (delayed, optional), webbrowser (delayed), pathlib (delayed, conditional, optional), distutils.util (delayed, conditional), distutils.archive_util (optional), netrc (delayed, conditional), getpass (delayed), E:\yxrj\dingzhi\cj\231.py (top-level) missing module named urllib2 - imported by numpy.lib._datasource (delayed, conditional), requests.compat (conditional), selenium.webdriver.common.utils (delayed, optional), selenium.webdriver.common.service (delayed, optional) missing module named urlparse - imported by numpy.lib._datasource (delayed, conditional), requests.compat (conditional), selenium.webdriver.remote.remote_connection (optional) runtime module named urllib3.packages.six.moves - imported by http.client (top-level), urllib3.connectionpool (top-level), urllib3.util.response (top-level), 'urllib3.packages.six.moves.urllib' (top-level), urllib3.response (top-level), urllib3.util.queue (top-level) missing module named 'OpenSSL.crypto' - imported by urllib3.contrib.pyopenssl (delayed) missing module named 'cryptography.x509' - imported by urllib3.contrib.pyopenssl (delayed, optional) missing module named 'cryptography.hazmat' - imported by pymysql._auth (optional), urllib3.contrib.pyopenssl (top-level) missing module named cryptography - imported by pymysql._auth (optional), urllib3.contrib.pyopenssl (top-level), requests (optional) missing module named OpenSSL - imported by urllib3.contrib.pyopenssl (top-level) missing module named 'backports.ssl_match_hostname' - imported by setuptools.ssl_support (optional), urllib3.packages.ssl_match_hostname (optional) missing module named brotli - imported by urllib3.util.request (optional), urllib3.response (optional) missing module named "'urllib3.packages.six.moves.urllib'.parse" - imported by urllib3.request (top-level), urllib3.poolmanager (top-level) missing module named Queue - imported by urllib3.util.queue (conditional) missing module named httplib - imported by selenium.webdriver.safari.webdriver (optional), selenium.webdriver.blackberry.webdriver (optional), selenium.webdriver.webkitgtk.webdriver (optional) missing module named cStringIO - imported by selenium.webdriver.firefox.firefox_profile (optional) missing module named copy_reg - imported by numpy.core (conditional), soupsieve.util (conditional), cStringIO (top-level) missing module named 'backports.functools_lru_cache' - imported by soupsieve.util (conditional) missing module named iconv_codec - imported by bs4.dammit (optional) missing module named cchardet - imported by bs4.dammit (optional) missing module named lxml - imported by bs4.builder._lxml (top-level) missing module named 'html5lib.treebuilders' - imported by bs4.builder._html5lib (optional) missing module named 'html5lib.constants' - imported by bs4.builder._html5lib (top-level) missing module named html5lib - imported by bs4.builder._html5lib (top-level) missing module named Cookie - imported by requests.compat (conditional) missing module named cookielib - imported by requests.compat (conditional) missing module named simplejson - imported by pandas.util._print_versions (delayed, conditional, optional), requests.compat (optional) missing module named socks - imported by urllib3.contrib.socks (optional) missing module named _dummy_threading - imported by dummy_threading (optional) missing module named ConfigParser - imported by numpy.distutils.system_info (conditional), numpy.distutils.npy_pkg_config (conditional), pymysql.optionfile (conditional) missing module named scipy - imported by numpy.testing._private.nosetester (delayed, conditional), pandas.core.missing (delayed) missing module named numexpr - imported by pandas.core.computation.expressions (conditional), pandas.core.computation.engines (delayed) missing module named 'scipy.stats' - imported by pandas.plotting._matplotlib.hist (delayed), pandas.plotting._matplotlib.misc (delayed, conditional), pandas.core.nanops (delayed, conditional) missing module named 'scipy.signal' - imported by pandas.core.window (delayed, conditional) missing module named commands - imported by numpy.distutils.cpuinfo (conditional) missing module named setuptools.extern.packaging - imported by setuptools.extern (top-level), setuptools.dist (top-level), setuptools.command.egg_info (top-level) missing module named 'setuptools.extern.six' - imported by setuptools (top-level), setuptools.extension (top-level) missing module named setuptools.extern.six.moves.filterfalse - imported by setuptools.extern.six.moves (top-level), setuptools.dist (top-level), setuptools.msvc (top-level) missing module named setuptools.extern.six.moves.filter - imported by setuptools.extern.six.moves (top-level), setuptools.dist (top-level), setuptools.ssl_support (top-level), setuptools.command.py36compat (top-level) missing module named _manylinux - imported by setuptools.pep425tags (delayed, optional) missing module named wincertstore - imported by setuptools.ssl_support (delayed, optional) missing module named backports - imported by setuptools.ssl_support (optional) missing module named 'setuptools._vendor.six.moves' - imported by 'setuptools._vendor.six.moves' (top-level) missing module named 'setuptools.extern.pyparsing' - imported by setuptools._vendor.packaging.requirements (top-level), setuptools._vendor.packaging.markers (top-level) missing module named 'setuptools.extern.packaging.version' - imported by setuptools.msvc (top-level) missing module named setuptools.extern.six.moves.map - imported by setuptools.extern.six.moves (top-level), setuptools.dist (top-level), setuptools.command.easy_install (top-level), setuptools.sandbox (top-level), setuptools.package_index (top-level), setuptools.ssl_support (top-level), setuptools.command.egg_info (top-level), setuptools.namespaces (top-level) runtime module named setuptools.extern.six.moves - imported by setuptools.dist (top-level), setuptools.py33compat (top-level), setuptools.command.easy_install (top-level), setuptools.sandbox (top-level), setuptools.command.setopt (top-level), setuptools.package_index (top-level), setuptools.ssl_support (top-level), setuptools.command.egg_info (top-level), setuptools.command.py36compat (top-level), setuptools.namespaces (top-level), setuptools.msvc (top-level), 'setuptools._vendor.six.moves' (top-level) missing module named setuptools.extern.six - imported by setuptools.extern (top-level), setuptools.monkey (top-level), setuptools.dist (top-level), setuptools.extern.six.moves (top-level), setuptools.py33compat (top-level), setuptools.config (top-level), setuptools.command.easy_install (top-level), setuptools.sandbox (top-level), setuptools.py27compat (top-level), setuptools.package_index (top-level), setuptools.wheel (top-level), setuptools.command.egg_info (top-level), setuptools.command.sdist (top-level), setuptools.command.bdist_egg (top-level), setuptools.unicode_utils (top-level), setuptools.glob (top-level), setuptools.command.develop (top-level) missing module named 'numpy_distutils.cpuinfo' - imported by numpy.f2py.diagnose (delayed, conditional, optional) missing module named 'numpy_distutils.fcompiler' - imported by numpy.f2py.diagnose (delayed, conditional, optional) missing module named 'numpy_distutils.command' - imported by numpy.f2py.diagnose (delayed, conditional, optional) missing module named numpy_distutils - imported by numpy.f2py.diagnose (delayed, optional) missing module named 'nose.plugins' - imported by numpy.testing._private.noseclasses (top-level), numpy.testing._private.nosetester (delayed) missing module named numpy.core.number - imported by numpy.core (delayed), numpy.testing._private.utils (delayed) missing module named numpy.core.signbit - imported by numpy.core (delayed), numpy.testing._private.utils (delayed) missing module named numpy.core.float64 - imported by numpy.core (delayed), numpy.testing._private.utils (delayed) missing module named numpy.core.integer - imported by numpy.core (top-level), numpy.fft.helper (top-level) missing module named numpy.core.conjugate - imported by numpy.core (top-level), numpy.fft.pocketfft (top-level) missing module named numpy.core.sign - imported by numpy.core (top-level), numpy.linalg.linalg (top-level) missing module named numpy.core.divide - imported by numpy.core (top-level), numpy.linalg.linalg (top-level) missing module named numpy.core.object_ - imported by numpy.core (top-level), numpy.linalg.linalg (top-level) missing module named numpy.core.geterrobj - imported by numpy.core (top-level), numpy.linalg.linalg (top-level) missing module named numpy.core.sqrt - imported by numpy.core (top-level), numpy.linalg.linalg (top-level), numpy.fft.pocketfft (top-level) missing module named numpy.core.add - imported by numpy.core (top-level), numpy.linalg.linalg (top-level) missing module named numpy.core.complexfloating - imported by numpy.core (top-level), numpy.linalg.linalg (top-level) missing module named numpy.core.inexact - imported by numpy.core (top-level), numpy.linalg.linalg (top-level) missing module named numpy.core.cdouble - imported by numpy.core (top-level), numpy.linalg.linalg (top-level) missing module named numpy.core.csingle - imported by numpy.core (top-level), numpy.linalg.linalg (top-level) missing module named numpy.core.double - imported by numpy.core (top-level), numpy.linalg.linalg (top-level) missing module named numpy.core.single - imported by numpy.core (top-level), numpy.linalg.linalg (top-level) missing module named numpy.core.float32 - imported by numpy.core (top-level), numpy.testing._private.utils (top-level) missing module named numpy.core.intp - imported by numpy.core (top-level), numpy.testing._private.utils (top-level), numpy.linalg.linalg (top-level) missing module named numpy.eye - imported by numpy (delayed), numpy.core.numeric (delayed) missing module named dummy_thread - imported by numpy.core.arrayprint (conditional, optional) missing module named 'nose.util' - imported by numpy.testing._private.noseclasses (top-level) missing module named nose - imported by numpy.testing._private.utils (delayed, optional), numpy.testing._private.decorators (delayed), numpy.testing._private.noseclasses (top-level) missing module named win32pdh - imported by numpy.testing._private.utils (delayed, conditional) missing module named __svn_version__ - imported by numpy.f2py.__version__ (optional) missing module named numarray - imported by numpy.distutils.system_info (delayed, conditional, optional) missing module named Numeric - imported by numpy.distutils.system_info (delayed, conditional, optional) missing module named win32con - imported by distutils.msvccompiler (optional) missing module named _curses - imported by curses (top-level), curses.has_key (top-level) missing module named pytest - imported by numpy._pytesttester (delayed), pandas.util._tester (delayed, optional), pandas.util.testing (delayed, conditional, optional) missing module named future_builtins - imported by numpy.lib.npyio (conditional) missing module named cpickle - imported by numpy.compat.py3k (conditional) missing module named pickle5 - imported by numpy.compat.py3k (conditional, optional) missing module named numpy.histogramdd - imported by numpy (delayed), numpy.lib.twodim_base (delayed) missing module named numpy.lib.i0 - imported by numpy.lib (top-level), numpy.dual (top-level) missing module named 'scipy.sparse' - imported by pandas.core.sparse.scipy_sparse (delayed), pandas.core.arrays.sparse (delayed), pandas.core.dtypes.common (delayed, conditional, optional) missing module named botocore - imported by pandas.io.s3 (delayed) missing module named 'pyarrow.parquet' - imported by pandas.io.parquet (delayed) missing module named pyarrow - imported by pandas.io.feather_format (delayed) missing module named contextmanager - imported by dateutil.tz.tz (optional) runtime module named six.moves - imported by dateutil.tz.tz (top-level), dateutil.tz.win (top-level), dateutil.rrule (top-level) missing module named six.moves.range - imported by six.moves (top-level), dateutil.rrule (top-level) missing module named dateutil.tz.tzfile - imported by dateutil.tz (top-level), dateutil.zoneinfo (top-level) missing module named dateutil.tz.tzlocal - imported by dateutil.tz (top-level), dateutil.rrule (top-level) missing module named dateutil.tz.tzutc - imported by dateutil.tz (top-level), dateutil.rrule (top-level) missing module named PyQt4 - imported by pandas.io.clipboard.clipboards (delayed, optional), pandas.io.clipboard (delayed, conditional, optional) missing module named PyQt5 - imported by pandas.io.clipboard.clipboards (delayed, optional), pandas.io.clipboard (delayed, conditional, optional) missing module named qtpy - imported by pandas.io.clipboard.clipboards (delayed, optional), pandas.io.clipboard (delayed, conditional, optional) missing module named 'sqlalchemy.types' - imported by pandas.io.sql (delayed, conditional) missing module named 'sqlalchemy.schema' - imported by pandas.io.sql (delayed, conditional) missing module named sqlalchemy - imported by pandas.io.sql (delayed, conditional, optional) missing module named tables - imported by pandas.io.pytables (delayed, conditional) missing module named xlwt - imported by pandas.io.excel._xlwt (delayed) missing module named xlsxwriter - imported by pandas.io.excel._xlsxwriter (delayed) missing module named 'openpyxl.styles' - imported by pandas.io.excel._openpyxl (delayed) missing module named 'openpyxl.style' - imported by pandas.io.excel._openpyxl (delayed) missing module named openpyxl - imported by pandas.io.excel._openpyxl (delayed, conditional) missing module named xlrd - imported by pandas.io.excel._xlrd (delayed) missing module named 'odf.namespaces' - imported by pandas.io.excel._odfreader (delayed) missing module named 'odf.table' - imported by pandas.io.excel._odfreader (delayed) missing module named 'odf.opendocument' - imported by pandas.io.excel._odfreader (delayed) missing module named odf - imported by pandas.io.excel._odfreader (delayed) missing module named matplotlib - imported by pandas.plotting._matplotlib.boxplot (top-level), pandas.plotting._matplotlib.compat (delayed, optional), pandas.plotting._matplotlib.timeseries (delayed), pandas.plotting._matplotlib.core (delayed), pandas.io.formats.style (optional) missing module named 'matplotlib.pyplot' - imported by pandas.plotting._matplotlib.style (delayed), pandas.plotting._matplotlib.tools (delayed), pandas.plotting._matplotlib.core (delayed), pandas.plotting._matplotlib.timeseries (delayed), pandas.plotting._matplotlib.boxplot (delayed), pandas.plotting._matplotlib.hist (delayed), pandas.plotting._matplotlib.misc (delayed), pandas.plotting._matplotlib (delayed), pandas.io.formats.style (optional), pandas.util.testing (delayed) missing module named numpy.array - imported by numpy (top-level), numpy.ma.core (top-level), numpy.ma.extras (top-level), numpy.ma.mrecords (top-level), numpy.ctypeslib (top-level) missing module named numpy.recarray - imported by numpy (top-level), numpy.ma.mrecords (top-level) missing module named numpy.ndarray - imported by numpy (top-level), numpy.ma.core (top-level), numpy.ma.extras (top-level), numpy.ma.mrecords (top-level), numpy.ctypeslib (top-level), pandas.compat.numpy.function (top-level) missing module named numpy.dtype - imported by numpy (top-level), numpy.ma.mrecords (top-level), numpy.ctypeslib (top-level) missing module named numpy.bool_ - imported by numpy (top-level), numpy.ma.core (top-level), numpy.ma.mrecords (top-level) missing module named 'matplotlib.ticker' - imported by pandas.plotting._matplotlib.converter (top-level), pandas.plotting._matplotlib.tools (top-level), pandas.plotting._matplotlib.core (delayed) missing module named 'matplotlib.table' - imported by pandas.plotting._matplotlib.tools (top-level) missing module named 'matplotlib.colors' - imported by pandas.plotting._matplotlib.style (top-level) missing module named 'matplotlib.cm' - imported by pandas.plotting._matplotlib.style (top-level) missing module named 'matplotlib.patches' - imported by pandas.plotting._matplotlib.misc (top-level) missing module named 'matplotlib.lines' - imported by pandas.plotting._matplotlib.misc (top-level) missing module named 'matplotlib.axes' - imported by pandas.plotting._matplotlib.core (delayed) missing module named 'matplotlib.units' - imported by pandas.plotting._matplotlib.converter (top-level) missing module named 'matplotlib.transforms' - imported by pandas.plotting._matplotlib.converter (top-level) missing module named 'matplotlib.dates' - imported by pandas.plotting._matplotlib.converter (top-level) missing module named numpy.expand_dims - imported by numpy (top-level), numpy.ma.core (top-level) missing module named numpy.iscomplexobj - imported by numpy (top-level), numpy.ma.core (top-level) missing module named numpy.amin - imported by numpy (top-level), numpy.ma.core (top-level) missing module named numpy.amax - imported by numpy (top-level), numpy.ma.core (top-level) missing module named 'IPython.core' - imported by pandas.io.formats.printing (delayed, conditional) missing module named IPython - imported by pandas.io.formats.printing (delayed) missing module named s3fs - imported by pandas.io.common (delayed, optional) missing module named sets - imported by pytz.tzinfo (optional) missing module named numpy.random.randn - imported by numpy.random (top-level), pandas.util.testing (top-level) missing module named numpy.random.rand - imported by numpy.random (top-level), pandas.util.testing (top-level) missing module named hypothesis - imported by pandas.util._tester (delayed, optional) missing module named 'lxml.etree' - imported by pandas.io.html (delayed) missing module named 'lxml.html' - imported by pandas.io.html (delayed)
Girls’ Party请问程序的代码编写
Problem Description Issac H. Ives hosted a party for girls. He had some nice goods and wanted to distribute them to the girls as the presents. However, there were not enough number of presents and thus he needed to decide who would take them. He held a game for that purpose. Before the game, Issac had all the girls divided into two teams: he named his close friends Bella and Gabriella as two leaders and asked other girls to join either Bella or Gabriella. After the two teams were formed, Issac asked the girls to form one big circle. The rule of the game was as follows. The game consisted of a number of rounds. In each round, the girls called numbers from 1 to N in clockwise order (N was a number fixed before the game started). The girl calling the number N was told to get out of the circle and excluded from the rest of the game. Then the next round was started from the next girl, that is, the girls called the numbers again, and the one calling N left the circle. This was repeated until only the members of either team remained. The remaining team won the game. As the game went on, Bella found far more girls of her team excluded than those of Gabriella’s team. Bella complained it, and requested Issac to make the next round begin with a call of zero instead of one. Issac liked her idea as he was a computer scientist, and accepted her request. After that round, many girls of Gabriella’s team came to leave the circle, and eventually Bella’s team won the game and got the presents from Issac. Now let’s consider the following situation. There are two teams led by Bella and Gabriella respectively, where they do not necessarily have the same numbers of members. Bella is allowed to change the starting number from one to zero at up to one round (regardless the starting girl belongs to her team or not). We want to know how many girls of Bella’s team at most can remain in the circle. You are requested to write a program for it. Input The input is a sequence of datasets. The first line of the input contains the number of datasets. The number of datasets does not exceed 200. Each dataset consists of a line with a positive integer N (1 <= N <= 2^30) and a string that specifies the clockwise order of the girls. Each character of the string is either ‘B’ (that denotes a member of Bella’s team) or ‘G’ (Gabriella’s team). The first round begins with the girl indicated by the first character of the string. The length of the string is between 2 and 20000 inclusive. Output For each dataset, print in a line the maximum possible number of the girls of Bella’s team remaining in the circle, or “0” (without quotes) if there are no ways for Bella’s team to win the game. Sample Input 6 1 GB 3 GBGBBB 9 BBBGBBBGGG 9 GGBGBBGBBB 7 GBGGGGBGGG 3 BBBBBGBBBB Sample Output 1 4 4 1 0 8
springmvc项目转boot启动报错，找不到原因，也没有提示，求助
16:02:51.183 [main] DEBUG org.springframework.boot.devtools.settings.DevToolsSettings - Included patterns for restart : [] 16:02:51.190 [main] DEBUG org.springframework.boot.devtools.settings.DevToolsSettings - Excluded patterns for restart : [/spring-boot-starter/target/classes/, /spring-boot-autoconfigure/target/classes/, /spring-boot-starter-[\w-]+/, /spring-boot/target/classes/, /spring-boot-actuator/target/classes/, /spring-boot-devtools/target/classes/] 16:02:51.191 [main] DEBUG org.springframework.boot.devtools.restart.ChangeableUrls - Matching URLs for reloading : [file:/D:/workspacesIdea/layuiframe-boot/target/classes/] 16:02:51.848 [restartedMain] DEBUG org.springframework.boot.logging.ClasspathLoggingApplicationListener - Application failed to start with classpath: [file:/D:/workspacesIdea/layuiframe-boot/target/classes/] 16:02:51.851 [restartedMain] ERROR org.springframework.boot.SpringApplication - Application startup failed java.lang.IllegalAccessError: tried to access method org.springframework.core.convert.support.DefaultConversionService.addCollectionConverters(Lorg/springframework/core/convert/converter/ConverterRegistry;)V from class org.springframework.boot.bind.RelaxedConversionService at org.springframework.boot.bind.RelaxedConversionService.<init>(RelaxedConversionService.java:52) at org.springframework.boot.bind.RelaxedDataBinder.modifyProperties(RelaxedDataBinder.java:148) at org.springframework.boot.bind.RelaxedDataBinder.doBind(RelaxedDataBinder.java:128) at org.springframework.validation.DataBinder.bind(DataBinder.java:715) at org.springframework.boot.bind.PropertiesConfigurationFactory.doBindPropertiesToTarget(PropertiesConfigurationFactory.java:272) at org.springframework.boot.bind.PropertiesConfigurationFactory.bindPropertiesToTarget(PropertiesConfigurationFactory.java:240) at org.springframework.boot.context.config.ConfigFileApplicationListener.bindToSpringApplication(ConfigFileApplicationListener.java:241) at org.springframework.boot.context.config.ConfigFileApplicationListener.postProcessEnvironment(ConfigFileApplicationListener.java:197) at org.springframework.boot.context.config.ConfigFileApplicationListener.onApplicationEnvironmentPreparedEvent(ConfigFileApplicationListener.java:182) at org.springframework.boot.context.config.ConfigFileApplicationListener.onApplicationEvent(ConfigFileApplicationListener.java:168) at org.springframework.context.event.SimpleApplicationEventMulticaster.invokeListener(SimpleApplicationEventMulticaster.java:163) at org.springframework.context.event.SimpleApplicationEventMulticaster.multicastEvent(SimpleApplicationEventMulticaster.java:136) at org.springframework.context.event.SimpleApplicationEventMulticaster.multicastEvent(SimpleApplicationEventMulticaster.java:119) at org.springframework.boot.context.event.EventPublishingRunListener.environmentPrepared(EventPublishingRunListener.java:74) at org.springframework.boot.SpringApplicationRunListeners.environmentPrepared(SpringApplicationRunListeners.java:54) at org.springframework.boot.SpringApplication.prepareEnvironment(SpringApplication.java:325) at org.springframework.boot.SpringApplication.run(SpringApplication.java:296) at com.Application_layui.main(Application_layui.java:22) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at org.springframework.boot.devtools.restart.RestartLauncher.run(RestartLauncher.java:49) java.lang.NoSuchFieldException: findAnnotationCache at java.lang.Class.getDeclaredField(Class.java:2070) at org.springframework.boot.devtools.restart.Restarter.clear(Restarter.java:366) at org.springframework.boot.devtools.restart.Restarter.cleanupKnownCaches(Restarter.java:351) at org.springframework.boot.devtools.restart.Restarter.cleanupCaches(Restarter.java:338) at org.springframework.boot.devtools.restart.Restarter.access\$000(Restarter.java:84) at org.springframework.boot.devtools.restart.Restarter\$1.call(Restarter.java:175) at org.springframework.boot.devtools.restart.Restarter\$1.call(Restarter.java:170) at org.springframework.boot.devtools.restart.Restarter\$LeakSafeThread.run(Restarter.java:627)
Girls’ Party程序编写得实现
Problem Description Issac H. Ives hosted a party for girls. He had some nice goods and wanted to distribute them to the girls as the presents. However, there were not enough number of presents and thus he needed to decide who would take them. He held a game for that purpose. Before the game, Issac had all the girls divided into two teams: he named his close friends Bella and Gabriella as two leaders and asked other girls to join either Bella or Gabriella. After the two teams were formed, Issac asked the girls to form one big circle. The rule of the game was as follows. The game consisted of a number of rounds. In each round, the girls called numbers from 1 to N in clockwise order (N was a number fixed before the game started). The girl calling the number N was told to get out of the circle and excluded from the rest of the game. Then the next round was started from the next girl, that is, the girls called the numbers again, and the one calling N left the circle. This was repeated until only the members of either team remained. The remaining team won the game. As the game went on, Bella found far more girls of her team excluded than those of Gabriella’s team. Bella complained it, and requested Issac to make the next round begin with a call of zero instead of one. Issac liked her idea as he was a computer scientist, and accepted her request. After that round, many girls of Gabriella’s team came to leave the circle, and eventually Bella’s team won the game and got the presents from Issac. Now let’s consider the following situation. There are two teams led by Bella and Gabriella respectively, where they do not necessarily have the same numbers of members. Bella is allowed to change the starting number from one to zero at up to one round (regardless the starting girl belongs to her team or not). We want to know how many girls of Bella’s team at most can remain in the circle. You are requested to write a program for it. Input The input is a sequence of datasets. The first line of the input contains the number of datasets. The number of datasets does not exceed 200. Each dataset consists of a line with a positive integer N (1 <= N <= 2^30) and a string that specifies the clockwise order of the girls. Each character of the string is either ‘B’ (that denotes a member of Bella’s team) or ‘G’ (Gabriella’s team). The first round begins with the girl indicated by the first character of the string. The length of the string is between 2 and 20000 inclusive. Output For each dataset, print in a line the maximum possible number of the girls of Bella’s team remaining in the circle, or “0” (without quotes) if there are no ways for Bella’s team to win the game. Sample Input 6 1 GB 3 GBGBBB 9 BBBGBBBGGG 9 GGBGBBGBBB 7 GBGGGGBGGG 3 BBBBBGBBBB Sample Output 1 4 4 1 0 8
The diameter of graph 直径的问题
Problem Description The graph diameter is the length of the "longest shortest path" between any two vertices of a graph. In other words, a graph's diameter is the longest path which must be traversed in order to travel from any vertex to another when paths which backtrack, detour, or loop are excluded from consideration. Given an undirected graph, your mission is to count the number of diameters of it. Input The input contains multiple test cases. For each test case, it contains n+1 lines. Line 1: two integers m, n (2<= m <= 100, 1 <= n <= 4000) indicating that there are m vertices and n edges in the city. Line 2~n+1: each contains three integers i, j, d (1 <= i, j <= m, 1 <= d <= 100), indicating that there is an edge of length d connecting vertex i and vertex j. Output Output the value of the diameter and the number of diameters in a single line, separated by a single space. Sample Input 4 5 1 2 1 2 3 1 3 4 1 1 4 1 1 3 2 Sample Output 2 5

Problem Description The International Clown and Pierrot Competition (ICPC), is one of the most distinguished and also the most popular events on earth in the show business. One of the unique features of this contest is the great number of judges that sometimes counts up to one hundred. The number of judges may differ from one contestant to another, because judges with any relationship whatsoever with a specific contestant are temporarily excluded for scoring his/her performance. Basically, scores given to a contestant's performance by the judges are averaged to decide his/her score. To avoid letting judges with eccentric viewpoints too much influence the score, the highest and the lowest scores are set aside in this calculation. If the same highest score is marked by two or more judges, only one of them is ignored. The same is with the lowest score. The average, which may contain fractions, are truncated down to obtain final score as an integer. You are asked to write a program that computes the scores of performances, given the scores of all the judges, to speed up the event to be suited for a TV program. Input The input consists of a number of datasets, each corresponding to a contestant's performance. There are no more than 20 datasets in the input. A dataset begins with a line with an integer n, the number of judges participated in scoring the performance (3 ≤ n ≤ 100). Each of the n lines following it has an integral score s (0 ≤ s ≤ 1000) marked by a judge. No other characters except for digits to express these numbers are in the input. Judges' names are kept secret. The end of the input is indicated by a line with a single zero in it. Output For each dataset, a line containing a single decimal integer indicating the score for the corresponding performance should be output. No other characters should be on the output line. Sample Input 3 1000 342 0 5 2 2 9 11 932 5 300 1000 0 200 400 8 353 242 402 274 283 132 402 523 0 Sample Output 342 7 300 326
C语言程序的来计算这个得分计算
Problem Description The International Clown and Pierrot Competition (ICPC), is one of the most distinguished and also the most popular events on earth in the show business. One of the unique features of this contest is the great number of judges that sometimes counts up to one hundred. The number of judges may differ from one contestant to another, because judges with any relationship whatsoever with a specific contestant are temporarily excluded for scoring his/her performance. Basically, scores given to a contestant's performance by the judges are averaged to decide his/her score. To avoid letting judges with eccentric viewpoints too much influence the score, the highest and the lowest scores are set aside in this calculation. If the same highest score is marked by two or more judges, only one of them is ignored. The same is with the lowest score. The average, which may contain fractions, are truncated down to obtain final score as an integer. You are asked to write a program that computes the scores of performances, given the scores of all the judges, to speed up the event to be suited for a TV program. Input The input consists of a number of datasets, each corresponding to a contestant's performance. There are no more than 20 datasets in the input. A dataset begins with a line with an integer n, the number of judges participated in scoring the performance (3 ≤ n ≤ 100). Each of the n lines following it has an integral score s (0 ≤ s ≤ 1000) marked by a judge. No other characters except for digits to express these numbers are in the input. Judges' names are kept secret. The end of the input is indicated by a line with a single zero in it. Output For each dataset, a line containing a single decimal integer indicating the score for the corresponding performance should be output. No other characters should be on the output line. Sample Input 3 1000 342 0 5 2 2 9 11 932 5 300 1000 0 200 400 8 353 242 402 274 283 132 402 523 0 Sample Output 342 7 300 326

Problem Description The International Clown and Pierrot Competition (ICPC), is one of the most distinguished and also the most popular events on earth in the show business. One of the unique features of this contest is the great number of judges that sometimes counts up to one hundred. The number of judges may differ from one contestant to another, because judges with any relationship whatsoever with a specific contestant are temporarily excluded for scoring his/her performance. Basically, scores given to a contestant's performance by the judges are averaged to decide his/her score. To avoid letting judges with eccentric viewpoints too much influence the score, the highest and the lowest scores are set aside in this calculation. If the same highest score is marked by two or more judges, only one of them is ignored. The same is with the lowest score. The average, which may contain fractions, are truncated down to obtain final score as an integer. You are asked to write a program that computes the scores of performances, given the scores of all the judges, to speed up the event to be suited for a TV program. Input The input consists of a number of datasets, each corresponding to a contestant's performance. There are no more than 20 datasets in the input. A dataset begins with a line with an integer n, the number of judges participated in scoring the performance (3 ≤ n ≤ 100). Each of the n lines following it has an integral score s (0 ≤ s ≤ 1000) marked by a judge. No other characters except for digits to express these numbers are in the input. Judges' names are kept secret. The end of the input is indicated by a line with a single zero in it. Output For each dataset, a line containing a single decimal integer indicating the score for the corresponding performance should be output. No other characters should be on the output line. Sample Input 3 1000 342 0 5 2 2 9 11 932 5 300 1000 0 200 400 8 353 242 402 274 283 132 402 523 0 Sample Output 342 7 300 326
Score Totalizer Software算法的实现用C语言
Problem Description The International Clown and Pierrot Competition (ICPC), is one of the most distinguished and also the most popular events on earth in the show business. One of the unique features of this contest is the great number of judges that sometimes counts up to one hundred. The number of judges may differ from one contestant to another, because judges with any relationship whatsoever with a specific contestant are temporarily excluded for scoring his/her performance. Basically, scores given to a contestant's performance by the judges are averaged to decide his/her score. To avoid letting judges with eccentric viewpoints too much influence the score, the highest and the lowest scores are set aside in this calculation. If the same highest score is marked by two or more judges, only one of them is ignored. The same is with the lowest score. The average, which may contain fractions, are truncated down to obtain final score as an integer. You are asked to write a program that computes the scores of performances, given the scores of all the judges, to speed up the event to be suited for a TV program. Input The input consists of a number of datasets, each corresponding to a contestant's performance. There are no more than 20 datasets in the input. A dataset begins with a line with an integer n, the number of judges participated in scoring the performance (3 ≤ n ≤ 100). Each of the n lines following it has an integral score s (0 ≤ s ≤ 1000) marked by a judge. No other characters except for digits to express these numbers are in the input. Judges' names are kept secret. The end of the input is indicated by a line with a single zero in it. Output For each dataset, a line containing a single decimal integer indicating the score for the corresponding performance should be output. No other characters should be on the output line. Sample Input 3 1000 342 0 5 2 2 9 11 932 5 300 1000 0 200 400 8 353 242 402 274 283 132 402 523 0 Sample Output 342 7 300 326
tx-lcn分布式事务客户端无法启动
pyinstaller打包exe后在其他环境上无法运行
win10 64位上用pyinstaller把.py打包.exe，本机上没有问题，但在win xp上无法运行 试着搜索了一下warn文件里的内容貌似没找到解决方案 打包过程的图片： ![图片说明](https://img-ask.csdn.net/upload/201901/30/1548828748_686025.png) warn里面的内容： ```py missing module named resource - imported by posix, C:\Users\12848\Desktop\project\I GOT YOU.py missing module named posix - imported by os, C:\Users\12848\Desktop\project\I GOT YOU.py missing module named _posixsubprocess - imported by subprocess, C:\Users\12848\Desktop\project\I GOT YOU.py missing module named org - imported by pickle, C:\Users\12848\Desktop\project\I GOT YOU.py missing module named readline - imported by cmd, code, pdb, C:\Users\12848\Desktop\project\I GOT YOU.py excluded module named _frozen_importlib - imported by importlib, importlib.abc, C:\Users\12848\Desktop\project\I GOT YOU.py missing module named _frozen_importlib_external - imported by importlib._bootstrap, importlib, importlib.abc, C:\Users\12848\Desktop\project\I GOT YOU.py missing module named _winreg - imported by platform, C:\Users\12848\Desktop\project\I GOT YOU.py missing module named _scproxy - imported by urllib.request missing module named java - imported by platform, C:\Users\12848\Desktop\project\I GOT YOU.py missing module named 'java.lang' - imported by platform, C:\Users\12848\Desktop\project\I GOT YOU.py, xml.sax._exceptions missing module named vms_lib - imported by platform, C:\Users\12848\Desktop\project\I GOT YOU.py missing module named termios - imported by tty, C:\Users\12848\Desktop\project\I GOT YOU.py, getpass missing module named grp - imported by shutil, tarfile, C:\Users\12848\Desktop\project\I GOT YOU.py missing module named 'org.python' - imported by copy, C:\Users\12848\Desktop\project\I GOT YOU.py, xml.sax missing module named pwd - imported by posixpath, shutil, tarfile, http.server, webbrowser, C:\Users\12848\Desktop\project\I GOT YOU.py, netrc, getpass missing module named _dummy_threading - imported by dummy_threading, C:\Users\12848\Desktop\project\I GOT YOU.py ``` 我的程序中调用的库： ```python from tkinter import* import tkinter.messagebox from random import randint from threading import Thread from time import sleep from re import split ```
130 个相见恨晚的超实用网站，一次性分享出来

win10系统安装教程（U盘PE+UEFI安装）

C语言魔塔游戏

java源码分析 Arrays.asList()与Collections.unmodifiableList()
ArrayList支持所有的可选操作（因为一个UnsupportedOperationException异常都没有捕获到），所以要想拥有完备的功能，还是得使用ArrayList啊。 Arrays\$ArrayList除了set()操作外，都不支持。 Collections\$UnmodifiableRandomAccessList都不支持，名副其实的Unmodifiable不可修改。

Python爬虫爬取淘宝，京东商品信息

Java工作4年来应聘要16K最后没要,细节如下。。。

2020年，冯唐49岁：我给20、30岁IT职场年轻人的建议

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