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  • I have a very long and repetitive python path, where do I look to correct this?

    - by ninja123
    I know it is probably not necessary to paste the whole path, but just for the record I have done so below. Whenever I run a python command, it takes a long time to load this path I suppose. I have checked in .bash_profile and only have these two lines: export PATH=/Users/username/bin:/opt/local/Library/Frameworks/Python.framework/Versions/2.5/bin:/opt/local/bin:/opt/local/sbin:/opt/local/apache2/bin:$PATH export PYTHONPATH=/opt/local/lib/python2.5/site-packages/ And my python path as outputed by Django's debug is: Python path : ['/Users/username/Sites/videocluster/eggs/ipython-0.10-py2.5.egg', '/Users/username/Sites/videocluster/eggs/South-0.6.1-py2.5.egg', '/Users/username/Sites/videocluster/eggs/django_markitup-0.5.2-py2.5.egg', '/Users/username/Sites/videocluster/eggs/DateTime-2.12.0-py2.5.egg', '/Users/username/Sites/videocluster/eggs/Markdown-2.0.3-py2.5.egg', '/Users/username/Sites/videocluster/eggs/PIL-1.1.7-py2.5-macosx-10.5-i386.egg', '/Users/username/Sites/videocluster/eggs/djangorecipe-0.20-py2.5.egg', '/Users/username/Sites/videocluster/eggs/zc.recipe.egg-1.2.3b2-py2.5.egg', '/Users/username/Sites/videocluster/eggs/zc.buildout-1.5.0b2-py2.5.egg', '/Users/username/Sites/videocluster/eggs/pytz-2010h-py2.5.egg', '/Users/username/Sites/videocluster/eggs/zope.interface-3.6.1-py2.5-macosx-10.5-i386.egg', '/Users/username/Sites/videocluster/eggs/setuptools-0.6c11-py2.5.egg', '/Users/username/Sites/videocluster/parts/django', '/Users/username/Sites/videocluster', '/Users/username/Sites/videocluster/bin', '/opt/local/lib/python2.5/site-packages/setuptools_git-0.3.3-py2.5.egg', '/opt/local/lib/python2.5/site-packages/pysqlite-2.5.5-py2.5-macosx-10.5-i386.egg', '/opt/local/lib/python2.5/site-packages/CouchDB-0.5-py2.5.egg', '/opt/local/lib/python2.5/site-packages/httplib2-0.4.0-py2.5.egg', '/opt/local/lib/python2.5/site-packages/PyYAML-3.08-py2.5-macosx-10.5-i386.egg', '/opt/local/lib/python2.5/site-packages/simple_db_migrate-1.2.8-py2.5.egg', '/opt/local/lib/python2.5/site-packages/PyDispatcher-2.0.1-py2.5.egg', '/opt/local/lib/python2.5/site-packages/pyOpenSSL-0.9-py2.5-macosx-10.5-i386.egg', '/opt/local/lib/python2.5/site-packages/greenlet-0.2-py2.5-macosx-10.5-i386.egg', '/opt/local/lib/python2.5/site-packages/Supay-0.0.2-py2.5.egg', '/opt/local/lib/python2.5/site-packages/configobj-4.6.0-py2.5.egg', '/opt/local/lib/python2.5/site-packages/Fabric-0.9b1-py2.5.egg', '/opt/local/lib/python2.5/site-packages/fudge-0.9.3-py2.5.egg', '/opt/local/lib/python2.5/site-packages/pydelicious-0.5.3-py2.5.egg', '/opt/local/lib/python2.5/site-packages/feedparser-4.1-py2.5.egg', '/opt/local/lib/python2.5/site-packages/github_cli-0.2.5.2-py2.5.egg', '/opt/local/lib/python2.5/site-packages/simplejson-2.0.9-py2.5-macosx-10.5-i386.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', ......(repeating)....... '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', 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'/opt/local/lib/python2.5/site-packages/zc.buildout-1.4.1-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/zc.buildout-1.4.1-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/zc.buildout-1.4.1-py2.5.egg', '/opt/local/lib/python2.5/site-packages/setuptools-0.6c11-py2.5.egg', '/opt/local/lib/python2.5/site-packages/zc.buildout-1.4.1-py2.5.egg', ......(repeating)....... 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'/opt/local/Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/lib-tk', '/opt/local/Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/lib-dynload', '/opt/local/Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/site-packages/Numeric', '/opt/local/Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/site-packages/PIL', '/opt/local/lib/python2.5/site-packages/PIL', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', ......(repeating)....... '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/lib/python2.5/site-packages/gtk-2.0', '/opt/local/Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/site-packages/gtk-2.0'] Someone, please tell me where I can go to correct this. Thanks

    Read the article

  • Python: Improving long cumulative sum

    - by Bo102010
    I have a program that operates on a large set of experimental data. The data is stored as a list of objects that are instances of a class with the following attributes: time_point - the time of the sample cluster - the name of the cluster of nodes from which the sample was taken code - the name of the node from which the sample was taken qty1 = the value of the sample for the first quantity qty2 = the value of the sample for the second quantity I need to derive some values from the data set, grouped in three ways - once for the sample as a whole, once for each cluster of nodes, and once for each node. The values I need to derive depend on the (time sorted) cumulative sums of qty1 and qty2: the maximum value of the element-wise sum of the cumulative sums of qty1 and qty2, the time point at which that maximum value occurred, and the values of qty1 and qty2 at that time point. I came up with the following solution: dataset.sort(key=operator.attrgetter('time_point')) # For the whole set sys_qty1 = 0 sys_qty2 = 0 sys_combo = 0 sys_max = 0 # For the cluster grouping cluster_qty1 = defaultdict(int) cluster_qty2 = defaultdict(int) cluster_combo = defaultdict(int) cluster_max = defaultdict(int) cluster_peak = defaultdict(int) # For the node grouping node_qty1 = defaultdict(int) node_qty2 = defaultdict(int) node_combo = defaultdict(int) node_max = defaultdict(int) node_peak = defaultdict(int) for t in dataset: # For the whole system ###################################################### sys_qty1 += t.qty1 sys_qty2 += t.qty2 sys_combo = sys_qty1 + sys_qty2 if sys_combo > sys_max: sys_max = sys_combo # The Peak class is to record the time point and the cumulative quantities system_peak = Peak(time_point=t.time_point, qty1=sys_qty1, qty2=sys_qty2) # For the cluster grouping ################################################## cluster_qty1[t.cluster] += t.qty1 cluster_qty2[t.cluster] += t.qty2 cluster_combo[t.cluster] = cluster_qty1[t.cluster] + cluster_qty2[t.cluster] if cluster_combo[t.cluster] > cluster_max[t.cluster]: cluster_max[t.cluster] = cluster_combo[t.cluster] cluster_peak[t.cluster] = Peak(time_point=t.time_point, qty1=cluster_qty1[t.cluster], qty2=cluster_qty2[t.cluster]) # For the node grouping ##################################################### node_qty1[t.node] += t.qty1 node_qty2[t.node] += t.qty2 node_combo[t.node] = node_qty1[t.node] + node_qty2[t.node] if node_combo[t.node] > node_max[t.node]: node_max[t.node] = node_combo[t.node] node_peak[t.node] = Peak(time_point=t.time_point, qty1=node_qty1[t.node], qty2=node_qty2[t.node]) This produces the correct output, but I'm wondering if it can be made more readable/Pythonic, and/or faster/more scalable. The above is attractive in that it only loops through the (large) dataset once, but unattractive in that I've essentially copied/pasted three copies of the same algorithm. To avoid the copy/paste issues of the above, I tried this also: def find_peaks(level, dataset): def grouping(object, attr_name): if attr_name == 'system': return attr_name else: return object.__dict__[attrname] cuml_qty1 = defaultdict(int) cuml_qty2 = defaultdict(int) cuml_combo = defaultdict(int) level_max = defaultdict(int) level_peak = defaultdict(int) for t in dataset: cuml_qty1[grouping(t, level)] += t.qty1 cuml_qty2[grouping(t, level)] += t.qty2 cuml_combo[grouping(t, level)] = (cuml_qty1[grouping(t, level)] + cuml_qty2[grouping(t, level)]) if cuml_combo[grouping(t, level)] > level_max[grouping(t, level)]: level_max[grouping(t, level)] = cuml_combo[grouping(t, level)] level_peak[grouping(t, level)] = Peak(time_point=t.time_point, qty1=node_qty1[grouping(t, level)], qty2=node_qty2[grouping(t, level)]) return level_peak system_peak = find_peaks('system', dataset) cluster_peak = find_peaks('cluster', dataset) node_peak = find_peaks('node', dataset) For the (non-grouped) system-level calculations, I also came up with this, which is pretty: dataset.sort(key=operator.attrgetter('time_point')) def cuml_sum(seq): rseq = [] t = 0 for i in seq: t += i rseq.append(t) return rseq time_get = operator.attrgetter('time_point') q1_get = operator.attrgetter('qty1') q2_get = operator.attrgetter('qty2') timeline = [time_get(t) for t in dataset] cuml_qty1 = cuml_sum([q1_get(t) for t in dataset]) cuml_qty2 = cuml_sum([q2_get(t) for t in dataset]) cuml_combo = [q1 + q2 for q1, q2 in zip(cuml_qty1, cuml_qty2)] combo_max = max(cuml_combo) time_max = timeline.index(combo_max) q1_at_max = cuml_qty1.index(time_max) q2_at_max = cuml_qty2.index(time_max) However, despite this version's cool use of list comprehensions and zip(), it loops through the dataset three times just for the system-level calculations, and I can't think of a good way to do the cluster-level and node-level calaculations without doing something slow like: timeline = defaultdict(int) cuml_qty1 = defaultdict(int) #...etc. for c in cluster_list: timeline[c] = [time_get(t) for t in dataset if t.cluster == c] cuml_qty1[c] = [q1_get(t) for t in dataset if t.cluster == c] #...etc. Does anyone here at Stack Overflow have suggestions for improvements? The first snippet above runs well for my initial dataset (on the order of a million records), but later datasets will have more records and clusters/nodes, so scalability is a concern. This is my first non-trivial use of Python, and I want to make sure I'm taking proper advantage of the language (this is replacing a very convoluted set of SQL queries, and earlier versions of the Python version were essentially very ineffecient straight transalations of what that did). I don't normally do much programming, so I may be missing something elementary. Many thanks!

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  • Python dictionary key missing

    - by Greg K
    I thought I'd put together a quick script to consolidate the CSS rules I have distributed across multiple CSS files, then I can minify it. I'm new to Python but figured this would be a good exercise to try a new language. My main loop isn't parsing the CSS as I thought it would. I populate a list with selectors parsed from the CSS files to return the CSS rules in order. Later in the script, the list contains an element that is not found in the dictionary. for line in self.file.readlines(): if self.hasSelector(line): selector = self.getSelector(line) if selector not in self.order: self.order.append(selector) elif selector and self.hasProperty(line): # rules.setdefault(selector,[]).append(self.getProperty(line)) property = self.getProperty(line) properties = [] if selector not in rules else rules[selector] if property not in properties: properties.append(property) rules[selector] = properties # print "%s :: %s" % (selector, "".join(rules[selector])) return rules Error encountered: $ css-combine combined.css test1.css test2.css Traceback (most recent call last): File "css-combine", line 108, in <module> c.run(outfile, stylesheets) File "css-combine", line 64, in run [(selector, rules[selector]) for selector in parser.order], KeyError: 'p' Swap the inputs: $ css-combine combined.css test2.css test1.css Traceback (most recent call last): File "css-combine", line 108, in <module> c.run(outfile, stylesheets) File "css-combine", line 64, in run [(selector, rules[selector]) for selector in parser.order], KeyError: '#header_.title' I've done some quirky things in the code like sub spaces for underscores in dictionary key names in case it was an issue - maybe this is a benign precaution? Depending on the order of the inputs, a different key cannot be found in the dictionary. The script: #!/usr/bin/env python import optparse import re class CssParser: def __init__(self): self.file = False self.order = [] # store rules assignment order def parse(self, rules = {}): if self.file == False: raise IOError("No file to parse") selector = False for line in self.file.readlines(): if self.hasSelector(line): selector = self.getSelector(line) if selector not in self.order: self.order.append(selector) elif selector and self.hasProperty(line): # rules.setdefault(selector,[]).append(self.getProperty(line)) property = self.getProperty(line) properties = [] if selector not in rules else rules[selector] if property not in properties: properties.append(property) rules[selector] = properties # print "%s :: %s" % (selector, "".join(rules[selector])) return rules def hasSelector(self, line): return True if re.search("^([#a-z,\.:\s]+){", line) else False def getSelector(self, line): s = re.search("^([#a-z,:\.\s]+){", line).group(1) return "_".join(s.strip().split()) def hasProperty(self, line): return True if re.search("^\s?[a-z-]+:[^;]+;", line) else False def getProperty(self, line): return re.search("([a-z-]+:[^;]+;)", line).group(1) class Consolidator: """Class to consolidate CSS rule attributes""" def run(self, outfile, files): parser = CssParser() rules = {} for file in files: try: parser.file = open(file) rules = parser.parse(rules) except IOError: print "Cannot read file: " + file finally: parser.file.close() self.serialize( [(selector, rules[selector]) for selector in parser.order], outfile ) def serialize(self, rules, outfile): try: f = open(outfile, "w") for rule in rules: f.write( "%s {\n\t%s\n}\n\n" % ( " ".join(rule[0].split("_")), "\n\t".join(rule[1]) ) ) except IOError: print "Cannot write output to: " + outfile finally: f.close() def init(): op = optparse.OptionParser( usage="Usage: %prog [options] <output file> <stylesheet1> " + "<stylesheet2> ... <stylesheetN>", description="Combine CSS rules spread across multiple " + "stylesheets into a single file" ) opts, args = op.parse_args() if len(args) < 3: if len(args) == 1: print "Error: No input files specified.\n" elif len(args) == 2: print "Error: One input file specified, nothing to combine.\n" op.print_help(); exit(-1) return [opts, args] if __name__ == '__main__': opts, args = init() outfile, stylesheets = [args[0], args[1:]] c = Consolidator() c.run(outfile, stylesheets) Test CSS file 1: body { background-color: #e7e7e7; } p { margin: 1em 0em; } File 2: body { font-size: 16px; } #header .title { font-family: Tahoma, Geneva, sans-serif; font-size: 1.9em; } #header .title a, #header .title a:hover { color: #f5f5f5; border-bottom: none; text-shadow: 2px 2px 3px rgba(0, 0, 0, 1); } Thanks in advance.

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  • globals and locals in python exec()

    - by hawkettc
    Hi, I'm trying to run a piece of python code using exec. my_code = """ class A(object): pass print 'locals: %s' % locals() print 'A: %s' % A class B(object): a_ref = A """ global_env = {} local_env = {} my_code_AST = compile(my_code, "My Code", "exec") exec(my_code_AST, global_env, local_env) print local_env which results in the following output locals: {'A': <class 'A'>} A: <class 'A'> Traceback (most recent call last): File "python_test.py", line 16, in <module> exec(my_code_AST, global_env, local_env) File "My Code", line 8, in <module> File "My Code", line 9, in B NameError: name 'A' is not defined However, if I change the code to this - my_code = """ class A(object): pass print 'locals: %s' % locals() print 'A: %s' % A class B(A): pass """ global_env = {} local_env = {} my_code_AST = compile(my_code, "My Code", "exec") exec(my_code_AST, global_env, local_env) print local_env then it works fine - giving the following output - locals: {'A': <class 'A'>} A: <class 'A'> {'A': <class 'A'>, 'B': <class 'B'>} Clearly A is present and accessible - what's going wrong in the first piece of code? I'm using 2.6.5, cheers, Colin * UPDATE 1 * If I check the locals() inside the class - my_code = """ class A(object): pass print 'locals: %s' % locals() print 'A: %s' % A class B(object): print locals() a_ref = A """ global_env = {} local_env = {} my_code_AST = compile(my_code, "My Code", "exec") exec(my_code_AST, global_env, local_env) print local_env Then it becomes clear that locals() is not the same in both places - locals: {'A': <class 'A'>} A: <class 'A'> {'__module__': '__builtin__'} Traceback (most recent call last): File "python_test.py", line 16, in <module> exec(my_code_AST, global_env, local_env) File "My Code", line 8, in <module> File "My Code", line 10, in B NameError: name 'A' is not defined However, if I do this, there is no problem - def f(): class A(object): pass class B(object): a_ref = A f() print 'Finished OK' * UPDATE 2 * ok, so the docs here - http://docs.python.org/reference/executionmodel.html 'A class definition is an executable statement that may use and define names. These references follow the normal rules for name resolution. The namespace of the class definition becomes the attribute dictionary of the class. Names defined at the class scope are not visible in methods.' It seems to me that 'A' should be made available as a free variable within the executable statement that is the definition of B, and this happens when we call f(), but not when we use exec(). This can be more easily shown with the following - my_code = """ class A(object): pass print 'locals in body: %s' % locals() print 'A: %s' % A def f(): print 'A in f: %s' % A f() class B(object): a_ref = A """ which outputs locals in body: {'A': <class 'A'>} A: <class 'A'> Traceback (most recent call last): File "python_test.py", line 20, in <module> exec(my_code_AST, global_env, local_env) File "My Code", line 11, in <module> File "My Code", line 9, in f NameError: global name 'A' is not defined So I guess the new question is - why aren't those locals being exposed as free variables in functions and class definitions - it seems like a pretty standard closure scenario.

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  • How to best design a date/geographic proximity query on GAE?

    - by Dane
    Hi all, I'm building a directory for finding athletic tournaments on GAE with web2py and a Flex front end. The user selects a location, a radius, and a maximum date from a set of choices. I have a basic version of this query implemented, but it's inefficient and slow. One way I know I can improve it is by condensing the many individual queries I'm using to assemble the objects into bulk queries. I just learned that was possible. But I'm also thinking about a more extensive redesign that utilizes memcache. The main problem is that I can't query the datastore by location because GAE won't allow multiple numerical comparison statements (<,<=,=,) in one query. I'm already using one for date, and I'd need TWO to check both latitude and longitude, so it's a no go. Currently, my algorithm looks like this: 1.) Query by date and select 2.) Use destination function from geopy's distance module to find the max and min latitude and longitudes for supplied distance 3.) Loop through results and remove all with lat/lng outside max/min 4.) Loop through again and use distance function to check exact distance, because step 2 will include some areas outside the radius. Remove results outside supplied distance (is this 2/3/4 combination inefficent?) 5.) Assemble many-to-many lists and attach to objects (this is where I need to switch to bulk operations) 6.) Return to client Here's my plan for using memcache.. let me know if I'm way out in left field on this as I have no prior experience with memcache or server caching in general. -Keep a list in the cache filled with "geo objects" that represent all my data. These have five properties: latitude, longitude, event_id, event_type (in anticipation of expanding beyond tournaments), and start_date. This list will be sorted by date. -Also keep a dict of pointers in the cache which represent the start and end indices in the cache for all the date ranges my app uses (next week, 2 weeks, month, 3 months, 6 months, year, 2 years). -Have a scheduled task that updates the pointers daily at 12am. -Add new inserts to the cache as well as the datastore; update pointers. Using this design, the algorithm would now look like: 1.) Use pointers to slice off appropriate chunk of list based on supplied date. 2-4.) Same as above algorithm, except with geo objects 5.) Use bulk operation to select full tournaments using remaining geo objects' event_ids 6.) Assemble many-to-manys 7.) Return to client Thoughts on this approach? Many thanks for reading and any advice you can give. -Dane

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  • Django authentication in django nonrel on GAE

    - by tooba
    I'm using the Django nonrel project on a google app engine project running locally in development. I've created my own models and these are fine when they are saved and retrieved in the datastore. I'm hoping to use django.contrib.auth to provide the user functionality. I can use the shell to create users and these get assigned an ID. When I create one of my own models which references User I have to pass in a user ID as it quite rightly fails otherwise. However, checking via the gae admin interface I can't see the User model in the datastore for the users I've created via the shell. Nor can I retreive the user details from one of my models which references them. Calls to mymodel.user.username return nothing. Nor can I log into admin using the username and password I've set up. I can see saved versions of the models I've made in the gae admin app. I get the impression that users are being created somewhere other than the datastore. Is there something else I need to do to use the standard contrib.auth users with django-nonrel and gae?

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  • Problem using easy_install on Windows 7, 64 bit. (cannot find python.exe)

    - by Rune
    Hi, I have just now installed Python 2.6 on my Windows 7 (64 bit) Lenovo t61p laptop. I have downloaded Sphinx and nose and apparently installed them correctly using python setup.py install (at least no errors were reported during the installation). Now I am trying to install pymongo using easy_install but I am not having much success. It seems that easy_install isn't working at all. I execute easy_install as administrator: C:\>easy_install Cannot find Python executable C:\Program Files\Python26\python.exe The path C:\Program Files\Python26\python.exe is correct. I have found this bug report on bugs.python.org which seems to be related, although its status is 'Resolved'. Do you have any ideas as to what may be wrong? Any pointers, hints or tips for diagnosing the problem further would be greatly appreciated. EDIT: This is the stacktrace I receive when trying to install pymongo: C:\Users\Rune Ibsen\Documents\Downloads\pymongo-1.4>python setup.py install running install running bdist_egg running egg_info writing pymongo.egg-info\PKG-INFO writing top-level names to pymongo.egg-info\top_level.txt writing dependency_links to pymongo.egg-info\dependency_links.txt reading manifest file 'pymongo.egg-info\SOURCES.txt' reading manifest template 'MANIFEST.in' writing manifest file 'pymongo.egg-info\SOURCES.txt' installing library code to build\bdist.win-amd64\egg running install_lib running build_py running build_ext building 'pymongo._cbson' extension Traceback (most recent call last): File "setup.py", line 166, in <module> "doc": doc}) File "C:\Program Files\Python26\lib\distutils\core.py", line 152, in setup dist.run_commands() File "C:\Program Files\Python26\lib\distutils\dist.py", line 975, in run_commands self.run_command(cmd) File "C:\Program Files\Python26\lib\distutils\dist.py", line 995, in run_command cmd_obj.run() File "C:\Program Files\Python26\lib\site-packages\setuptools-0.6c9-py2.6.egg\setuptools\command\install.py", line 76, in run File "C:\Program Files\Python26\lib\site-packages\setuptools-0.6c9-py2.6.egg\setuptools\command\install.py", line 96, in do_egg_install File "C:\Program Files\Python26\lib\distutils\cmd.py", line 333, in run_command self.distribution.run_command(command) File "C:\Program Files\Python26\lib\distutils\dist.py", line 995, in run_command cmd_obj.run() File "C:\Program Files\Python26\lib\site-packages\setuptools-0.6c9-py2.6.egg\setuptools\command\bdist_egg.py", line 174, in run File "C:\Program Files\Python26\lib\site-packages\setuptools-0.6c9-py2.6.egg\setuptools\command\bdist_egg.py", line 161, in call_command File "C:\Program Files\Python26\lib\distutils\cmd.py", line 333, in run_command self.distribution.run_command(command) File "C:\Program Files\Python26\lib\distutils\dist.py", line 995, in run_command cmd_obj.run() File "C:\Program Files\Python26\lib\site-packages\setuptools-0.6c9-py2.6.egg\setuptools\command\install_lib.py", line 20, in run File "C:\Program Files\Python26\lib\distutils\command\install_lib.py", line 113, in build self.run_command('build_ext') File "C:\Program Files\Python26\lib\distutils\cmd.py", line 333, in run_command self.distribution.run_command(command) File "C:\Program Files\Python26\lib\distutils\dist.py", line 995, in run_command cmd_obj.run() File "setup.py", line 107, in run build_ext.run(self) File "C:\Program Files\Python26\lib\distutils\command\build_ext.py", line 340, in run self.build_extensions() File "C:\Program Files\Python26\lib\distutils\command\build_ext.py", line 449, in build_extensions self.build_extension(ext) File "setup.py", line 117, in build_extension build_ext.build_extension(self, ext) File "C:\Program Files\Python26\lib\distutils\command\build_ext.py", line 499, in build_extension depends=ext.depends) File "C:\Program Files\Python26\lib\distutils\msvc9compiler.py", line 448, in compile self.initialize() File "C:\Program Files\Python26\lib\distutils\msvc9compiler.py", line 358, in initialize vc_env = query_vcvarsall(VERSION, plat_spec) File "C:\Program Files\Python26\lib\distutils\msvc9compiler.py", line 274, in query_vcvarsall raise ValueError(str(list(result.keys()))) ValueError: [u'path'] C:\Users\Rune Ibsen\Documents\Downloads\pymongo-1.4> PS.: I previously installed Python 3.1 but later installed 2.6 because I am not sure whether pymongo supports 3.1. PPS.: I have tried installing pymongo using the python setup.py install approach, but this resulted in a nasty-looking stack trace, so I thought I would try to let easy_install take care of it for me. PPPS.: I am completely new to Python, easy_install, eggs etc.

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  • How can I kill off a Python web app on GAE early following a redirect?

    - by Mike Hayes
    Hi Disclaimer: completely new to Python from a PHP background Ok I'm using Python on Google App Engine with Google's webapp framework. I have a function which I import as it contains things which need to be processed on each page. def some_function(self): if data['user'].new_user and not self.request.path == '/main/new': self.redirect('/main/new') This works fine when I call it, but how can I make sure the app is killed off after the redirection. I don't want anything else processing. For example I will do this: class Dashboard(webapp.RequestHandler): def get(self): some_function(self) #Continue with normal code here self.response.out.write('Some output here') I want to make sure that once the redirection is made in some_function() (which works fine), that no processing is done in the get() function following the redirection, nor is the "Some output here" outputted. What should I be looking at to make this all work properly? I can't just exit the script because the webapp framework needs to run. I realise that more than likely I'm just doing things in completely the wrong way any way for a Python app, so any guidance would be a great help. Hopefully I have explained myself properly and someone will be able to point me in the right direction. Thanks

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  • Python XLWT attempt to overwrite cell workaround

    - by PPTim
    Hi, Using the python module xlwt, writing to the same cell twice throws an error: Message File Name Line Position Traceback <module> S:\******** write C:\Python26\lib\site-packages\xlwt\Worksheet.py 1003 write C:\Python26\lib\site-packages\xlwt\Row.py 231 insert_cell C:\Python26\lib\site-packages\xlwt\Row.py 150 Exception: Attempt to overwrite cell: sheetname=u'Sheet 1' rowx=1 colx=12 with the code snippet def insert_cell(self, col_index, cell_obj): if col_index in self.__cells: if not self.__parent._cell_overwrite_ok: msg = "Attempt to overwrite cell: sheetname=%r rowx=%d colx=%d" \ % (self.__parent.name, self.__idx, col_index) raise Exception(msg) #row 150 prev_cell_obj = self.__cells[col_index] sst_idx = getattr(prev_cell_obj, 'sst_idx', None) if sst_idx is not None: self.__parent_wb.del_str(sst_idx) self.__cells[col_index] = cell_obj Looks like the code 'raise'es an exception which halts the entire process. Is removing the 'raise' term enough to allow for overwriting cells? I appreciate xlwt's warning, but i thought the pythonic way is to assume "we know what we're doing". I don't want to break anything else in touching the module.

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  • Usabe of Python 3 super()

    - by deamon
    I wonder when to use what flavour of Python 3 super(). Help on class super in module builtins: class super(object) | super() -> same as super(__class__, <first argument>) | super(type) -> unbound super object | super(type, obj) -> bound super object; requires isinstance(obj, type) | super(type, type2) -> bound super object; requires issubclass(type2, type) Until now I've used super() only without arguments and it worked as expected (by a Java developer). Questions: What does "bound" mean in this context? What is the difference between bound and unbound super object? When to use super(type, obj) and when super(type, type2)? Would it be better to name the super class like in Mother.__init__(...)?

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  • Python: split files using mutliple split delimiters

    - by donalmg
    Hi, I have multiple CSV files which I need to parse in a loop to gather information. The problem is that while they are the same format, some are delimited by '\t' and others by ','. After this, I want to remove the double-quote from around the string. Can python split via multiple possible delimiters? At the minute, I can split the line with one by using: f = open(filename, "r") fields = f.readlines() for fs in fields: sf = fs.split('\t') tf = [fi.strip ('"') for fi in sf] Any suggestions are welcome.

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  • Python script repeated auto start up.

    - by Ali
    I am designing a python web app, where people can have an email sent to them on a particular day. So a user puts in his emai and date in a form and it gets stored in my database. My script would then search through the database looking for all records of todays date, retrive the email, sends them out and deletes the entry from the table. Is it possible to have a setup, where the script starts up automatically at a give time, say 1 pm everyday, sends out the email and then quits? If I have a continuously running script, i might go over the CPU limit of my shared web hosting. Or is the effect negligible? Ali

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  • Doxygen C++ comment string parser in python?

    - by Sebastian
    Does anybody know of a python module to parse a doxygen style C++ comment string? I mean a string like this (simple example): /** * A constructor. * A more elaborate description of the constructor. * @param param1 test1 * @param param2 test2 */ and I would like to extract the brief, the long description, the parameters, the return value etc. I'm currently doing this using string methods and regular expressions but my solution is not very robust. Alternatively does anybody know an easy to use parser lib that I can set up quickly? Thanks in advance

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  • Open payment gateway libraries for Java, Python, Ruby, and PHP

    - by Tauren
    I'm looking for generic and open source payment libraries that support many different payment processor APIs. In other words, I'd like to develop an application using a single payment processing API, but be able to easily switch between payment gateways, such as Authorize.Net, Payflow Pro, Braintree, PayPal, Google, Amazon, etc. This question gives some Java solutions, but the suggestions all look horrible. Isn't there anything more like ActiveMerchant for Java? I really need a good Java solution, to the point of building my own if necessary. But I don't want to reinvent the wheel if it exists. Are there any solutions for Python or PHP? Ideally, I'd like to find something similar to Ruby's ActiveMerchant, which looks exceptionally complete. Are there any other Ruby solutions?

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  • What does the caret operator in Python do?

    - by Fry
    I ran across the caret operator in python today and trying it out, I got the following output: >>> 8^3 11 >>> 8^4 12 >>> 8^1 9 >>> 8^0 8 >>> 7^1 6 >>> 7^2 5 >>> 7^7 0 >>> 7^8 15 >>> 9^1 8 >>> 16^1 17 >>> 15^1 14 >>> It seems to be based on 8, so I'm guessing some sort of byte operation? I can't seem to find much about this searching sites other than it behaves oddly for floats, does anybody have a link to what this operator does or can you explain it here?

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  • Graph theory in python

    - by Dan
    I was wondering how people deal with graph theory in python? How is a graph stored? Are there libraries for this? For example how would I input a graph and then find its Chromatic polynomial? Or its girth? Or the number of unique spanning trees? How about problems that involve edge weight like salesman problems? I don't need all of these answered, I'm just looking for a method or tool set that will be able to help me approach solve problems like this. Thanks, Dan

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  • Is TDD broken in Python?

    - by Konstantin
    Hi! Assume we have a class UserService with attribute current_user. Suppose it is used in AppService class. We have AppService covered with tests. In test setup we stub out current_user with some mock value: UserService.current_user = 'TestUser' Assume we decide to rename current_user to active_user. We rename it in UserService but forget to make change to its usage in AppService. We run tests and they pass! Test setup adds attribute current_user which is still (wrongly but successfully) used in AppService. Now our tests are useless. They pass but application will fail in production. We can't rely on our test suite == TDD is not possible. Is TDD broken in Python?

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  • Usage of Python 3 super()

    - by deamon
    I wonder when to use what flavour of Python 3 super(). Help on class super in module builtins: class super(object) | super() -> same as super(__class__, <first argument>) | super(type) -> unbound super object | super(type, obj) -> bound super object; requires isinstance(obj, type) | super(type, type2) -> bound super object; requires issubclass(type2, type) Until now I've used super() only without arguments and it worked as expected (by a Java developer). Questions: What does "bound" mean in this context? What is the difference between bound and unbound super object? When to use super(type, obj) and when super(type, type2)? Would it be better to name the super class like in Mother.__init__(...)?

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