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Python Gittle.checkout_all方法代码示例

本文整理汇总了Python中gittle.Gittle.checkout_all方法的典型用法代码示例。如果您正苦于以下问题:Python Gittle.checkout_all方法的具体用法?Python Gittle.checkout_all怎么用?Python Gittle.checkout_all使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在gittle.Gittle的用法示例。


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示例1: GitData

# 需要导入模块: from gittle import Gittle [as 别名]
# 或者: from gittle.Gittle import checkout_all [as 别名]

#.........这里部分代码省略.........
            """
            Using this method I will check through all the saved commits and
            evaluate the theoretic quality of these commits. Both algorithms
            used here are based on a simple principle of added and removed
            lines. According to these algorithms, there is a calculation of
            the rating.
            Output data structure is:
            sha1-> range, removed_counter, added_counter, added_lines,
            removed_lines, rating_one, rating_two etc.
            sha2-> range, removed_counter, added_counter, added_lines,
            removed_lines, rating etc.
            etc.
            The direction of rating goes from the first commit to the last one.
            There are two different ways. The first algorithm ends if there are
            no lines left of if it reaches the end of list. After that the rate
            is being calculated.
            The second algorithm is set for default rating value of 100. It
            subtracts value from this default one and is calculated this way:
            value = (100/added_lines) * removed lines
            """
            for file_name in self.files.keys():
                file_ = self.files[file_name]
                #get size of df
                size = file_.count().values[0]
                for row in xrange(size):
                    #start index
                    start_index = row + 1
                    # how many commits we must iterate
                    max_size = size - start_index
                    added_lines = list(file_.at[row, "hash_added"])
                    threshold = max_size * 0.1
                    rating = 4
                    #special case when was only removing
                    if not any(added_lines):
                        continue
                    rating_two = 100
                    minus_val = len(added_lines)
                    for idx in xrange(start_index, size):
                        for line in (file_.at[idx, "hash_removed"]):
                            if line in added_lines:
                                added_lines.remove(line)
                                rating_two -= (100 / minus_val)
                                added_lines = added_lines
                        if len(added_lines) <= 0:
                            range_ = idx - start_index
                            rating = calculate_rating(range_, threshold)
                            break
                        if thresh_fl and idx >= (threshold * 5):
                            rating = 4
                            break
                    first_added = len(file_.at[row, "hash_added"])
                    if correction:
                        if rating > 1 and len(added_lines) < first_added / 4:
                            rating -= 2
                        elif rating > 0 and len(added_lines) < first_added / 2:
                            rating -= 1
                    rating = (rating / 4) * 100
                    self.files[file_name].at[row, "rating_one"] = rating
                    self.files[file_name].at[row, "rating_two"] = rating_two

        def find_author_by_sha(self, sha):
            """This method finds the author by sha in dataFrame. If not found
               return None.
            """
            index = self._data_frame[self._data_frame.sha == sha]["author"]
            if sha == '' or sha == []:
                return None
            try:
                return index.values[0]["name"]
            except IndexError:
                LOGGER.warning(r"Sha {0}, {1} is not in data frame.".format(sha, index))
            return None

        def find_time_by_sha(self, sha):
            """This method finds timestamp by sha in dataFrame. If not found
               return None.
            """
            index = self._data_frame[self._data_frame.sha == sha].index
            if sha == '' or sha == []:
                return None
            try:
                return self._data_frame.time[index].values[0]
            except IndexError:
                LOGGER.warning("Sha {0}, {1} is not in data frame.".format(sha, index))
            return None

        def rollback(self, sha):
            """
            This method will make rollback to version which is set by sha.
            """
            try:
                self.__repository.checkout_all(sha)
            except IOError:
                LOGGER.warning("Couldn't rollback on sha {0}.".format(sha))
            except KeyError:
                LOGGER.warning("Couldn't rollback on sha {0}.".format(sha))

        def get_git_data(self):
            """ This method returns data frame for project or None. """
            return (self._data_frame, self.files)
开发者ID:Radymus,项目名称:QMetric,代码行数:104,代码来源:QMetric.py


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