Revert "Add gsutil 4.13 to telemetry/third_party"

tools/telemetry/third_party/gsutil/third_party/boto/boto/cloudsearch/search.py

Index: tools/telemetry/third_party/gsutil/third_party/boto/boto/cloudsearch/search.py
diff --git a/tools/telemetry/third_party/gsutil/third_party/boto/boto/cloudsearch/search.py b/tools/telemetry/third_party/gsutil/third_party/boto/boto/cloudsearch/search.py
deleted file mode 100644
index 70ea479becbdccdbb3ae7cc790ce463f563fa99c..0000000000000000000000000000000000000000
--- a/tools/telemetry/third_party/gsutil/third_party/boto/boto/cloudsearch/search.py
+++ /dev/null
@@ -1,377 +0,0 @@
-# Copyright (c) 2012 Mitch Garnaat http://garnaat.org/
-# Copyright (c) 2012 Amazon.com, Inc. or its affiliates.
-# All Rights Reserved
-#
-# Permission is hereby granted, free of charge, to any person obtaining a
-# copy of this software and associated documentation files (the
-# "Software"), to deal in the Software without restriction, including
-# without limitation the rights to use, copy, modify, merge, publish, dis-
-# tribute, sublicense, and/or sell copies of the Software, and to permit
-# persons to whom the Software is furnished to do so, subject to the fol-
-# lowing conditions:
-#
-# The above copyright notice and this permission notice shall be included
-# in all copies or substantial portions of the Software.
-#
-# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
-# OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABIL-
-# ITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT
-# SHALL THE AUTHOR BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
-# WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
-# IN THE SOFTWARE.
-#
-from math import ceil
-from boto.compat import json, map, six
-import requests
-
-
-class SearchServiceException(Exception):
-    pass
-
-
-class CommitMismatchError(Exception):
-    pass
-
-
-class SearchResults(object):
-    def __init__(self, **attrs):
-        self.rid = attrs['info']['rid']
-        # self.doc_coverage_pct = attrs['info']['doc-coverage-pct']
-        self.cpu_time_ms = attrs['info']['cpu-time-ms']
-        self.time_ms = attrs['info']['time-ms']
-        self.hits = attrs['hits']['found']
-        self.docs = attrs['hits']['hit']
-        self.start = attrs['hits']['start']
-        self.rank = attrs['rank']
-        self.match_expression = attrs['match-expr']
-        self.query = attrs['query']
-        self.search_service = attrs['search_service']
-
-        self.facets = {}
-        if 'facets' in attrs:
-            for (facet, values) in attrs['facets'].items():
-                if 'constraints' in values:
-                    self.facets[facet] = dict((k, v) for (k, v) in map(lambda x: (x['value'], x['count']), values['constraints']))
-
-        self.num_pages_needed = ceil(self.hits / self.query.real_size)
-
-    def __len__(self):
-        return len(self.docs)
-
-    def __iter__(self):
-        return iter(self.docs)
-
-    def next_page(self):
-        """Call Cloudsearch to get the next page of search results
-
-        :rtype: :class:`boto.cloudsearch.search.SearchResults`
-        :return: the following page of search results
-        """
-        if self.query.page <= self.num_pages_needed:
-            self.query.start += self.query.real_size
-            self.query.page += 1
-            return self.search_service(self.query)
-        else:
-            raise StopIteration
-
-
-class Query(object):
-
-    RESULTS_PER_PAGE = 500
-
-    def __init__(self, q=None, bq=None, rank=None,
-                 return_fields=None, size=10,
-                 start=0, facet=None, facet_constraints=None,
-                 facet_sort=None, facet_top_n=None, t=None):
-
-        self.q = q
-        self.bq = bq
-        self.rank = rank or []
-        self.return_fields = return_fields or []
-        self.start = start
-        self.facet = facet or []
-        self.facet_constraints = facet_constraints or {}
-        self.facet_sort = facet_sort or {}
-        self.facet_top_n = facet_top_n or {}
-        self.t = t or {}
-        self.page = 0
-        self.update_size(size)
-
-    def update_size(self, new_size):
-        self.size = new_size
-        self.real_size = Query.RESULTS_PER_PAGE if (self.size >
-            Query.RESULTS_PER_PAGE or self.size == 0) else self.size
-
-    def to_params(self):
-        """Transform search parameters from instance properties to a dictionary
-
-        :rtype: dict
-        :return: search parameters
-        """
-        params = {'start': self.start, 'size': self.real_size}
-
-        if self.q:
-            params['q'] = self.q
-
-        if self.bq:
-            params['bq'] = self.bq
-
-        if self.rank:
-            params['rank'] = ','.join(self.rank)
-
-        if self.return_fields:
-            params['return-fields'] = ','.join(self.return_fields)
-
-        if self.facet:
-            params['facet'] = ','.join(self.facet)
-
-        if self.facet_constraints:
-            for k, v in six.iteritems(self.facet_constraints):
-                params['facet-%s-constraints' % k] = v
-
-        if self.facet_sort:
-            for k, v in six.iteritems(self.facet_sort):
-                params['facet-%s-sort' % k] = v
-
-        if self.facet_top_n:
-            for k, v in six.iteritems(self.facet_top_n):
-                params['facet-%s-top-n' % k] = v
-
-        if self.t:
-            for k, v in six.iteritems(self.t):
-                params['t-%s' % k] = v
-        return params
-
-
-class SearchConnection(object):
-
-    def __init__(self, domain=None, endpoint=None):
-        self.domain = domain
-        self.endpoint = endpoint
-        if not endpoint:
-            self.endpoint = domain.search_service_endpoint
-
-    def build_query(self, q=None, bq=None, rank=None, return_fields=None,
-                    size=10, start=0, facet=None, facet_constraints=None,
-                    facet_sort=None, facet_top_n=None, t=None):
-        return Query(q=q, bq=bq, rank=rank, return_fields=return_fields,
-                     size=size, start=start, facet=facet,
-                     facet_constraints=facet_constraints,
-                     facet_sort=facet_sort, facet_top_n=facet_top_n, t=t)
-
-    def search(self, q=None, bq=None, rank=None, return_fields=None,
-               size=10, start=0, facet=None, facet_constraints=None,
-               facet_sort=None, facet_top_n=None, t=None):
-        """
-        Send a query to CloudSearch
-
-        Each search query should use at least the q or bq argument to specify
-        the search parameter. The other options are used to specify the
-        criteria of the search.
-
-        :type q: string
-        :param q: A string to search the default search fields for.
-
-        :type bq: string
-        :param bq: A string to perform a Boolean search. This can be used to
-            create advanced searches.
-
-        :type rank: List of strings
-        :param rank: A list of fields or rank expressions used to order the
-            search results. A field can be reversed by using the - operator.
-            ``['-year', 'author']``
-
-        :type return_fields: List of strings
-        :param return_fields: A list of fields which should be returned by the
-            search. If this field is not specified, only IDs will be returned.
-            ``['headline']``
-
-        :type size: int
-        :param size: Number of search results to specify
-
-        :type start: int
-        :param start: Offset of the first search result to return (can be used
-            for paging)
-
-        :type facet: list
-        :param facet: List of fields for which facets should be returned
-            ``['colour', 'size']``
-
-        :type facet_constraints: dict
-        :param facet_constraints: Use to limit facets to specific values
-            specified as comma-delimited strings in a Dictionary of facets
-            ``{'colour': "'blue','white','red'", 'size': "big"}``
-
-        :type facet_sort: dict
-        :param facet_sort: Rules used to specify the order in which facet
-            values should be returned. Allowed values are *alpha*, *count*,
-            *max*, *sum*. Use *alpha* to sort alphabetical, and *count* to sort
-            the facet by number of available result.
-            ``{'color': 'alpha', 'size': 'count'}``
-
-        :type facet_top_n: dict
-        :param facet_top_n: Dictionary of facets and number of facets to
-            return.
-            ``{'colour': 2}``
-
-        :type t: dict
-        :param t: Specify ranges for specific fields
-            ``{'year': '2000..2005'}``
-
-        :rtype: :class:`boto.cloudsearch.search.SearchResults`
-        :return: Returns the results of this search
-
-        The following examples all assume we have indexed a set of documents
-        with fields: *author*, *date*, *headline*
-
-        A simple search will look for documents whose default text search
-        fields will contain the search word exactly:
-
-        >>> search(q='Tim') # Return documents with the word Tim in them (but not Timothy)
-
-        A simple search with more keywords will return documents whose default
-        text search fields contain the search strings together or separately.
-
-        >>> search(q='Tim apple') # Will match "tim" and "apple"
-
-        More complex searches require the boolean search operator.
-
-        Wildcard searches can be used to search for any words that start with
-        the search string.
-
-        >>> search(bq="'Tim*'") # Return documents with words like Tim or Timothy)
-
-        Search terms can also be combined. Allowed operators are "and", "or",
-        "not", "field", "optional", "token", "phrase", or "filter"
-
-        >>> search(bq="(and 'Tim' (field author 'John Smith'))")
-
-        Facets allow you to show classification information about the search
-        results. For example, you can retrieve the authors who have written
-        about Tim:
-
-        >>> search(q='Tim', facet=['Author'])
-
-        With facet_constraints, facet_top_n and facet_sort more complicated
-        constraints can be specified such as returning the top author out of
-        John Smith and Mark Smith who have a document with the word Tim in it.
-
-        >>> search(q='Tim',
-        ...     facet=['Author'],
-        ...     facet_constraints={'author': "'John Smith','Mark Smith'"},
-        ...     facet=['author'],
-        ...     facet_top_n={'author': 1},
-        ...     facet_sort={'author': 'count'})
-        """
-
-        query = self.build_query(q=q, bq=bq, rank=rank,
-                                 return_fields=return_fields,
-                                 size=size, start=start, facet=facet,
-                                 facet_constraints=facet_constraints,
-                                 facet_sort=facet_sort,
-                                 facet_top_n=facet_top_n, t=t)
-        return self(query)
-
-    def __call__(self, query):
-        """Make a call to CloudSearch
-
-        :type query: :class:`boto.cloudsearch.search.Query`
-        :param query: A group of search criteria
-
-        :rtype: :class:`boto.cloudsearch.search.SearchResults`
-        :return: search results
-        """
-        url = "http://%s/2011-02-01/search" % (self.endpoint)
-        params = query.to_params()
-
-        r = requests.get(url, params=params)
-        body = r.content.decode('utf-8')
-        try:
-            data = json.loads(body)
-        except ValueError as e:
-            if r.status_code == 403:
-                msg = ''
-                import re
-                g = re.search('<html><body><h1>403 Forbidden</h1>([^<]+)<', body)
-                try:
-                    msg = ': %s' % (g.groups()[0].strip())
-                except AttributeError:
-                    pass
-                raise SearchServiceException('Authentication error from Amazon%s' % msg)
-            raise SearchServiceException("Got non-json response from Amazon. %s" % body, query)
-
-        if 'messages' in data and 'error' in data:
-            for m in data['messages']:
-                if m['severity'] == 'fatal':
-                    raise SearchServiceException("Error processing search %s "
-                        "=> %s" % (params, m['message']), query)
-        elif 'error' in data:
-            raise SearchServiceException("Unknown error processing search %s"
-                % json.dumps(data), query)
-
-        data['query'] = query
-        data['search_service'] = self
-
-        return SearchResults(**data)
-
-    def get_all_paged(self, query, per_page):
-        """Get a generator to iterate over all pages of search results
-
-        :type query: :class:`boto.cloudsearch.search.Query`
-        :param query: A group of search criteria
-
-        :type per_page: int
-        :param per_page: Number of docs in each :class:`boto.cloudsearch.search.SearchResults` object.
-
-        :rtype: generator
-        :return: Generator containing :class:`boto.cloudsearch.search.SearchResults`
-        """
-        query.update_size(per_page)
-        page = 0
-        num_pages_needed = 0
-        while page <= num_pages_needed:
-            results = self(query)
-            num_pages_needed = results.num_pages_needed
-            yield results
-            query.start += query.real_size
-            page += 1
-
-    def get_all_hits(self, query):
-        """Get a generator to iterate over all search results
-
-        Transparently handles the results paging from Cloudsearch
-        search results so even if you have many thousands of results
-        you can iterate over all results in a reasonably efficient
-        manner.
-
-        :type query: :class:`boto.cloudsearch.search.Query`
-        :param query: A group of search criteria
-
-        :rtype: generator
-        :return: All docs matching query
-        """
-        page = 0
-        num_pages_needed = 0
-        while page <= num_pages_needed:
-            results = self(query)
-            num_pages_needed = results.num_pages_needed
-            for doc in results:
-                yield doc
-            query.start += query.real_size
-            page += 1
-
-    def get_num_hits(self, query):
-        """Return the total number of hits for query
-
-        :type query: :class:`boto.cloudsearch.search.Query`
-        :param query: a group of search criteria
-
-        :rtype: int
-        :return: Total number of hits for query
-        """
-        query.update_size(1)
-        return self(query).hits
-
-
-