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huntrar/scrape
scrape/scrape.py
prompt_save_images
def prompt_save_images(args): """Prompt user to save images when crawling (for pdf and HTML formats).""" if args['images'] or args['no_images']: return if (args['pdf'] or args['html']) and (args['crawl'] or args['crawl_all']): save_msg = ('Choosing to save images will greatly slow the' ' crawling process.\nSave images anyways? (y/n): ') try: save_images = utils.confirm_input(input(save_msg)) except (KeyboardInterrupt, EOFError): return args['images'] = save_images args['no_images'] = not save_images
python
def prompt_save_images(args): """Prompt user to save images when crawling (for pdf and HTML formats).""" if args['images'] or args['no_images']: return if (args['pdf'] or args['html']) and (args['crawl'] or args['crawl_all']): save_msg = ('Choosing to save images will greatly slow the' ' crawling process.\nSave images anyways? (y/n): ') try: save_images = utils.confirm_input(input(save_msg)) except (KeyboardInterrupt, EOFError): return args['images'] = save_images args['no_images'] = not save_images
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Prompt user to save images when crawling (for pdf and HTML formats).
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train
https://github.com/huntrar/scrape/blob/bf877f6da5df3ed0f2bea60a95acf7df63c88002/scrape/scrape.py#L275-L289
huntrar/scrape
scrape/scrape.py
command_line_runner
def command_line_runner(): """Handle command-line interaction.""" parser = get_parser() args = vars(parser.parse_args()) if args['version']: print(__version__) return if args['clear_cache']: utils.clear_cache() print('Cleared {0}.'.format(utils.CACHE_DIR)) return if not args['query']: parser.print_help() return # Enable cache unless user sets environ variable SCRAPE_DISABLE_CACHE if not os.getenv('SCRAPE_DISABLE_CACHE'): utils.enable_cache() # Save images unless user sets environ variable SCRAPE_DISABLE_IMGS if os.getenv('SCRAPE_DISABLE_IMGS'): args['no_images'] = True # Prompt user for filetype if none specified prompt_filetype(args) # Prompt user to save images when crawling (for pdf and HTML formats) prompt_save_images(args) # Scrape webpage content scrape(args)
python
def command_line_runner(): """Handle command-line interaction.""" parser = get_parser() args = vars(parser.parse_args()) if args['version']: print(__version__) return if args['clear_cache']: utils.clear_cache() print('Cleared {0}.'.format(utils.CACHE_DIR)) return if not args['query']: parser.print_help() return # Enable cache unless user sets environ variable SCRAPE_DISABLE_CACHE if not os.getenv('SCRAPE_DISABLE_CACHE'): utils.enable_cache() # Save images unless user sets environ variable SCRAPE_DISABLE_IMGS if os.getenv('SCRAPE_DISABLE_IMGS'): args['no_images'] = True # Prompt user for filetype if none specified prompt_filetype(args) # Prompt user to save images when crawling (for pdf and HTML formats) prompt_save_images(args) # Scrape webpage content scrape(args)
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Handle command-line interaction.
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train
https://github.com/huntrar/scrape/blob/bf877f6da5df3ed0f2bea60a95acf7df63c88002/scrape/scrape.py#L292-L322
chrisspen/weka
weka/classifiers.py
Classifier.load_raw
def load_raw(cls, model_fn, schema, *args, **kwargs): """ Loads a trained classifier from the raw Weka model format. Must specify the model schema and classifier name, since these aren't currently deduced from the model format. """ c = cls(*args, **kwargs) c.schema = schema.copy(schema_only=True) c._model_data = open(model_fn, 'rb').read() return c
python
def load_raw(cls, model_fn, schema, *args, **kwargs): """ Loads a trained classifier from the raw Weka model format. Must specify the model schema and classifier name, since these aren't currently deduced from the model format. """ c = cls(*args, **kwargs) c.schema = schema.copy(schema_only=True) c._model_data = open(model_fn, 'rb').read() return c
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Loads a trained classifier from the raw Weka model format. Must specify the model schema and classifier name, since these aren't currently deduced from the model format.
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train
https://github.com/chrisspen/weka/blob/c86fc4b8eef1afd56f89ec28283bdf9e2fdc453b/weka/classifiers.py#L270-L279
chrisspen/weka
weka/classifiers.py
Classifier.train
def train(self, training_data, testing_data=None, verbose=False): """ Updates the classifier with new data. """ model_fn = None training_fn = None clean_training = False testing_fn = None clean_testing = False try: # Validate training data. if isinstance(training_data, basestring): assert os.path.isfile(training_data) training_fn = training_data else: assert isinstance(training_data, arff.ArffFile) fd, training_fn = tempfile.mkstemp(suffix='.arff') os.close(fd) with open(training_fn, 'w') as fout: fout.write(training_data.write()) clean_training = True assert training_fn # Validate testing data. if testing_data: if isinstance(testing_data, basestring): assert os.path.isfile(testing_data) testing_fn = testing_data else: assert isinstance(testing_data, arff.ArffFile) fd, testing_fn = tempfile.mkstemp(suffix='.arff') os.close(fd) with open(testing_fn, 'w') as fout: fout.write(testing_data.write()) clean_testing = True else: testing_fn = training_fn assert testing_fn # Validate model file. fd, model_fn = tempfile.mkstemp() os.close(fd) if self._model_data: fout = open(model_fn, 'wb') fout.write(self._model_data) fout.close() # Call Weka Jar. args = dict( CP=CP, classifier_name=self.name, model_fn=model_fn, training_fn=training_fn, testing_fn=testing_fn, ckargs=self._get_ckargs_str(), ) if self._model_data: # Load existing model. cmd = ( "java -cp %(CP)s %(classifier_name)s -l \"%(model_fn)s\" " "-t \"%(training_fn)s\" -T \"%(testing_fn)s\" -d \"%(model_fn)s\"") % args else: # Create new model file. cmd = ( "java -cp %(CP)s %(classifier_name)s -t \"%(training_fn)s\" " "-T \"%(testing_fn)s\" -d \"%(model_fn)s\" %(ckargs)s") % args if verbose: print(cmd) p = Popen( cmd, shell=True, stdin=PIPE, stdout=PIPE, stderr=PIPE, close_fds=sys.platform != "win32") stdin, stdout, stderr = (p.stdin, p.stdout, p.stderr) stdout_str = stdout.read() stderr_str = stderr.read() self.last_training_stdout = stdout_str self.last_training_stderr = stderr_str if verbose: print('stdout:') print(stdout_str) print('stderr:') print(stderr_str) # exclude "Warning" lines not to raise an error for a simple warning stderr_str = '\n'.join(l for l in stderr_str.decode('utf8').split('\n') if not "Warning" in l) if stderr_str: raise TrainingError(stderr_str) # Save schema. if not self.schema: self.schema = arff.ArffFile.load(training_fn, schema_only=True).copy(schema_only=True) # Save model. with open(model_fn, 'rb') as fin: self._model_data = fin.read() assert self._model_data finally: # Cleanup files. if model_fn: os.remove(model_fn) if training_fn and clean_training: os.remove(training_fn) if testing_fn and clean_testing: os.remove(testing_fn)
python
def train(self, training_data, testing_data=None, verbose=False): """ Updates the classifier with new data. """ model_fn = None training_fn = None clean_training = False testing_fn = None clean_testing = False try: # Validate training data. if isinstance(training_data, basestring): assert os.path.isfile(training_data) training_fn = training_data else: assert isinstance(training_data, arff.ArffFile) fd, training_fn = tempfile.mkstemp(suffix='.arff') os.close(fd) with open(training_fn, 'w') as fout: fout.write(training_data.write()) clean_training = True assert training_fn # Validate testing data. if testing_data: if isinstance(testing_data, basestring): assert os.path.isfile(testing_data) testing_fn = testing_data else: assert isinstance(testing_data, arff.ArffFile) fd, testing_fn = tempfile.mkstemp(suffix='.arff') os.close(fd) with open(testing_fn, 'w') as fout: fout.write(testing_data.write()) clean_testing = True else: testing_fn = training_fn assert testing_fn # Validate model file. fd, model_fn = tempfile.mkstemp() os.close(fd) if self._model_data: fout = open(model_fn, 'wb') fout.write(self._model_data) fout.close() # Call Weka Jar. args = dict( CP=CP, classifier_name=self.name, model_fn=model_fn, training_fn=training_fn, testing_fn=testing_fn, ckargs=self._get_ckargs_str(), ) if self._model_data: # Load existing model. cmd = ( "java -cp %(CP)s %(classifier_name)s -l \"%(model_fn)s\" " "-t \"%(training_fn)s\" -T \"%(testing_fn)s\" -d \"%(model_fn)s\"") % args else: # Create new model file. cmd = ( "java -cp %(CP)s %(classifier_name)s -t \"%(training_fn)s\" " "-T \"%(testing_fn)s\" -d \"%(model_fn)s\" %(ckargs)s") % args if verbose: print(cmd) p = Popen( cmd, shell=True, stdin=PIPE, stdout=PIPE, stderr=PIPE, close_fds=sys.platform != "win32") stdin, stdout, stderr = (p.stdin, p.stdout, p.stderr) stdout_str = stdout.read() stderr_str = stderr.read() self.last_training_stdout = stdout_str self.last_training_stderr = stderr_str if verbose: print('stdout:') print(stdout_str) print('stderr:') print(stderr_str) # exclude "Warning" lines not to raise an error for a simple warning stderr_str = '\n'.join(l for l in stderr_str.decode('utf8').split('\n') if not "Warning" in l) if stderr_str: raise TrainingError(stderr_str) # Save schema. if not self.schema: self.schema = arff.ArffFile.load(training_fn, schema_only=True).copy(schema_only=True) # Save model. with open(model_fn, 'rb') as fin: self._model_data = fin.read() assert self._model_data finally: # Cleanup files. if model_fn: os.remove(model_fn) if training_fn and clean_training: os.remove(training_fn) if testing_fn and clean_testing: os.remove(testing_fn)
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Updates the classifier with new data.
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train
https://github.com/chrisspen/weka/blob/c86fc4b8eef1afd56f89ec28283bdf9e2fdc453b/weka/classifiers.py#L312-L417
chrisspen/weka
weka/classifiers.py
Classifier.predict
def predict(self, query_data, verbose=False, distribution=False, cleanup=True): """ Iterates over the predicted values and probability (if supported). Each iteration yields a tuple of the form (prediction, probability). If the file is a test file (i.e. contains no query variables), then the tuple will be of the form (prediction, actual). See http://weka.wikispaces.com/Making+predictions for further explanation on interpreting Weka prediction output. """ model_fn = None query_fn = None clean_query = False stdout = None try: # Validate query data. if isinstance(query_data, basestring): assert os.path.isfile(query_data) query_fn = query_data else: #assert isinstance(query_data, arff.ArffFile) #TODO: doesn't work in Python 3.*? assert type(query_data).__name__ == 'ArffFile', 'Must be of type ArffFile, not "%s"' % type(query_data).__name__ fd, query_fn = tempfile.mkstemp(suffix='.arff') if verbose: print('writing', query_fn) os.close(fd) open(query_fn, 'w').write(query_data.write()) clean_query = True assert query_fn # Validate model file. fd, model_fn = tempfile.mkstemp() os.close(fd) assert self._model_data, "You must train this classifier before predicting." fout = open(model_fn, 'wb') fout.write(self._model_data) fout.close() # print(open(model_fn).read() # print(open(query_fn).read() # Call Weka Jar. args = dict( CP=CP, classifier_name=self.name, model_fn=model_fn, query_fn=query_fn, #ckargs = self._get_ckargs_str(), distribution=('-distribution' if distribution else ''), ) cmd = ("java -cp %(CP)s %(classifier_name)s -p 0 %(distribution)s -l \"%(model_fn)s\" -T \"%(query_fn)s\"") % args if verbose: print(cmd) p = Popen(cmd, shell=True, stdin=PIPE, stdout=PIPE, stderr=PIPE, close_fds=True) stdin, stdout, stderr = (p.stdin, p.stdout, p.stderr) stdout_str = stdout.read() stderr_str = stderr.read() if verbose: print('stdout:') print(stdout_str) print('stderr:') print(stderr_str) if stderr_str: raise PredictionError(stderr_str) if stdout_str: # inst# actual predicted error prediction #header = 'inst,actual,predicted,error'.split(',') query = arff.ArffFile.load(query_fn) query_variables = [ query.attributes[i] for i, v in enumerate(query.data[0]) if v == arff.MISSING] if not query_variables: query_variables = [query.attributes[-1]] # assert query_variables, \ # "There must be at least one query variable in the query." if verbose: print('query_variables:', query_variables) header = 'predicted'.split(',') # sample line: 1 1:? 4:36 + 1 # Expected output without distribution: #=== Predictions on test data === # # inst# actual predicted error prediction # 1 1:? 11:Acer_tr + 1 #=== Predictions on test data === # # inst# actual predicted error # 1 ? 7 ? #=== Predictions on test data === # # inst# actual predicted error prediction # 1 1:? 1:0 0.99 # 2 1:? 1:0 0.99 # 3 1:? 1:0 0.99 # 4 1:? 1:0 0.99 # 5 1:? 1:0 0.99 # Expected output with distribution: #=== Predictions on test data === # # inst# actual predicted error distribution # 1 1:? 11:Acer_tr + 0,0,0,0,0,0,0,0,0,0,*1,0,0,0,0,0... # Expected output with simple format: # inst# actual predicted error # 1 ? -3.417 ? q = re.findall( r'J48 pruned tree\s+\-+:\s+([0-9]+)\s+', stdout_str.decode('utf-8'), re.MULTILINE|re.DOTALL) if q: class_label = q[0] prob = 1.0 yield PredictionResult( actual=None, predicted=class_label, probability=prob,) elif re.findall(r'error\s+(?:distribution|prediction)', stdout_str.decode('utf-8')): # Check for distribution output. matches = re.findall( r"^\s*[0-9\.]+\s+[a-zA-Z0-9\.\?\:]+\s+(?P<cls_value>[a-zA-Z0-9_\.\?\:]+)\s+\+?\s+(?P<prob>[a-zA-Z0-9\.\?\,\*]+)", stdout_str.decode('utf-8'), re.MULTILINE) assert matches, ("No results found matching distribution pattern in stdout: %s") % stdout_str for match in matches: prediction, prob = match class_index, class_label = prediction.split(':') class_index = int(class_index) if distribution: # Convert list of probabilities into a hash linking the prob # to the associated class value. prob = dict(zip( query.attribute_data[query.attributes[-1]], map(float, prob.replace('*', '').split(',')))) else: prob = float(prob) class_label = query.attribute_data[query.attributes[-1]][class_index-1] yield PredictionResult( actual=None, predicted=class_label, probability=prob,) else: # Otherwise, assume a simple output. matches = re.findall( # inst# actual predicted r"^\s*([0-9\.]+)\s+([a-zA-Z0-9\-\.\?\:]+)\s+([a-zA-Z0-9\-_\.\?\:]+)\s+", stdout_str.decode('utf-8'), re.MULTILINE) assert matches, "No results found matching simple pattern in stdout: %s" % stdout_str #print('matches:',len(matches) for match in matches: inst, actual, predicted = match class_name = query.attributes[-1] actual_value = query.get_attribute_value(class_name, actual) predicted_value = query.get_attribute_value(class_name, predicted) yield PredictionResult( actual=actual_value, predicted=predicted_value, probability=None,) finally: # Cleanup files. if cleanup: if model_fn: self._model_data = open(model_fn, 'rb').read() os.remove(model_fn) if query_fn and clean_query: os.remove(query_fn)
python
def predict(self, query_data, verbose=False, distribution=False, cleanup=True): """ Iterates over the predicted values and probability (if supported). Each iteration yields a tuple of the form (prediction, probability). If the file is a test file (i.e. contains no query variables), then the tuple will be of the form (prediction, actual). See http://weka.wikispaces.com/Making+predictions for further explanation on interpreting Weka prediction output. """ model_fn = None query_fn = None clean_query = False stdout = None try: # Validate query data. if isinstance(query_data, basestring): assert os.path.isfile(query_data) query_fn = query_data else: #assert isinstance(query_data, arff.ArffFile) #TODO: doesn't work in Python 3.*? assert type(query_data).__name__ == 'ArffFile', 'Must be of type ArffFile, not "%s"' % type(query_data).__name__ fd, query_fn = tempfile.mkstemp(suffix='.arff') if verbose: print('writing', query_fn) os.close(fd) open(query_fn, 'w').write(query_data.write()) clean_query = True assert query_fn # Validate model file. fd, model_fn = tempfile.mkstemp() os.close(fd) assert self._model_data, "You must train this classifier before predicting." fout = open(model_fn, 'wb') fout.write(self._model_data) fout.close() # print(open(model_fn).read() # print(open(query_fn).read() # Call Weka Jar. args = dict( CP=CP, classifier_name=self.name, model_fn=model_fn, query_fn=query_fn, #ckargs = self._get_ckargs_str(), distribution=('-distribution' if distribution else ''), ) cmd = ("java -cp %(CP)s %(classifier_name)s -p 0 %(distribution)s -l \"%(model_fn)s\" -T \"%(query_fn)s\"") % args if verbose: print(cmd) p = Popen(cmd, shell=True, stdin=PIPE, stdout=PIPE, stderr=PIPE, close_fds=True) stdin, stdout, stderr = (p.stdin, p.stdout, p.stderr) stdout_str = stdout.read() stderr_str = stderr.read() if verbose: print('stdout:') print(stdout_str) print('stderr:') print(stderr_str) if stderr_str: raise PredictionError(stderr_str) if stdout_str: # inst# actual predicted error prediction #header = 'inst,actual,predicted,error'.split(',') query = arff.ArffFile.load(query_fn) query_variables = [ query.attributes[i] for i, v in enumerate(query.data[0]) if v == arff.MISSING] if not query_variables: query_variables = [query.attributes[-1]] # assert query_variables, \ # "There must be at least one query variable in the query." if verbose: print('query_variables:', query_variables) header = 'predicted'.split(',') # sample line: 1 1:? 4:36 + 1 # Expected output without distribution: #=== Predictions on test data === # # inst# actual predicted error prediction # 1 1:? 11:Acer_tr + 1 #=== Predictions on test data === # # inst# actual predicted error # 1 ? 7 ? #=== Predictions on test data === # # inst# actual predicted error prediction # 1 1:? 1:0 0.99 # 2 1:? 1:0 0.99 # 3 1:? 1:0 0.99 # 4 1:? 1:0 0.99 # 5 1:? 1:0 0.99 # Expected output with distribution: #=== Predictions on test data === # # inst# actual predicted error distribution # 1 1:? 11:Acer_tr + 0,0,0,0,0,0,0,0,0,0,*1,0,0,0,0,0... # Expected output with simple format: # inst# actual predicted error # 1 ? -3.417 ? q = re.findall( r'J48 pruned tree\s+\-+:\s+([0-9]+)\s+', stdout_str.decode('utf-8'), re.MULTILINE|re.DOTALL) if q: class_label = q[0] prob = 1.0 yield PredictionResult( actual=None, predicted=class_label, probability=prob,) elif re.findall(r'error\s+(?:distribution|prediction)', stdout_str.decode('utf-8')): # Check for distribution output. matches = re.findall( r"^\s*[0-9\.]+\s+[a-zA-Z0-9\.\?\:]+\s+(?P<cls_value>[a-zA-Z0-9_\.\?\:]+)\s+\+?\s+(?P<prob>[a-zA-Z0-9\.\?\,\*]+)", stdout_str.decode('utf-8'), re.MULTILINE) assert matches, ("No results found matching distribution pattern in stdout: %s") % stdout_str for match in matches: prediction, prob = match class_index, class_label = prediction.split(':') class_index = int(class_index) if distribution: # Convert list of probabilities into a hash linking the prob # to the associated class value. prob = dict(zip( query.attribute_data[query.attributes[-1]], map(float, prob.replace('*', '').split(',')))) else: prob = float(prob) class_label = query.attribute_data[query.attributes[-1]][class_index-1] yield PredictionResult( actual=None, predicted=class_label, probability=prob,) else: # Otherwise, assume a simple output. matches = re.findall( # inst# actual predicted r"^\s*([0-9\.]+)\s+([a-zA-Z0-9\-\.\?\:]+)\s+([a-zA-Z0-9\-_\.\?\:]+)\s+", stdout_str.decode('utf-8'), re.MULTILINE) assert matches, "No results found matching simple pattern in stdout: %s" % stdout_str #print('matches:',len(matches) for match in matches: inst, actual, predicted = match class_name = query.attributes[-1] actual_value = query.get_attribute_value(class_name, actual) predicted_value = query.get_attribute_value(class_name, predicted) yield PredictionResult( actual=actual_value, predicted=predicted_value, probability=None,) finally: # Cleanup files. if cleanup: if model_fn: self._model_data = open(model_fn, 'rb').read() os.remove(model_fn) if query_fn and clean_query: os.remove(query_fn)
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Iterates over the predicted values and probability (if supported). Each iteration yields a tuple of the form (prediction, probability). If the file is a test file (i.e. contains no query variables), then the tuple will be of the form (prediction, actual). See http://weka.wikispaces.com/Making+predictions for further explanation on interpreting Weka prediction output.
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train
https://github.com/chrisspen/weka/blob/c86fc4b8eef1afd56f89ec28283bdf9e2fdc453b/weka/classifiers.py#L419-L592
chrisspen/weka
weka/classifiers.py
EnsembleClassifier.get_training_coverage
def get_training_coverage(self): """ Returns a ratio of classifiers that were able to be trained successfully. """ total = len(self.training_results) i = sum(1 for data in self.training_results.values() if not isinstance(data, basestring)) return i/float(total)
python
def get_training_coverage(self): """ Returns a ratio of classifiers that were able to be trained successfully. """ total = len(self.training_results) i = sum(1 for data in self.training_results.values() if not isinstance(data, basestring)) return i/float(total)
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Returns a ratio of classifiers that were able to be trained successfully.
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train
https://github.com/chrisspen/weka/blob/c86fc4b8eef1afd56f89ec28283bdf9e2fdc453b/weka/classifiers.py#L640-L646
huntrar/scrape
scrape/crawler.py
Crawler.get_new_links
def get_new_links(self, url, resp): """Get new links from a URL and filter them.""" links_on_page = resp.xpath('//a/@href') links = [utils.clean_url(u, url) for u in links_on_page] # Remove non-links through filtering by protocol links = [x for x in links if utils.check_protocol(x)] # Restrict new URLs by the domain of the input URL if not self.args['nonstrict']: domain = utils.get_domain(url) links = [x for x in links if utils.get_domain(x) == domain] # Filter URLs by regex keywords, if any if self.args['crawl']: links = utils.re_filter(links, self.args['crawl']) return links
python
def get_new_links(self, url, resp): """Get new links from a URL and filter them.""" links_on_page = resp.xpath('//a/@href') links = [utils.clean_url(u, url) for u in links_on_page] # Remove non-links through filtering by protocol links = [x for x in links if utils.check_protocol(x)] # Restrict new URLs by the domain of the input URL if not self.args['nonstrict']: domain = utils.get_domain(url) links = [x for x in links if utils.get_domain(x) == domain] # Filter URLs by regex keywords, if any if self.args['crawl']: links = utils.re_filter(links, self.args['crawl']) return links
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Get new links from a URL and filter them.
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train
https://github.com/huntrar/scrape/blob/bf877f6da5df3ed0f2bea60a95acf7df63c88002/scrape/crawler.py#L20-L36
huntrar/scrape
scrape/crawler.py
Crawler.page_crawled
def page_crawled(self, page_resp): """Check if page has been crawled by hashing its text content. Add new pages to the page cache. Return whether page was found in cache. """ page_text = utils.parse_text(page_resp) page_hash = utils.hash_text(''.join(page_text)) if page_hash not in self.page_cache: utils.cache_page(self.page_cache, page_hash, self.args['cache_size']) return False return True
python
def page_crawled(self, page_resp): """Check if page has been crawled by hashing its text content. Add new pages to the page cache. Return whether page was found in cache. """ page_text = utils.parse_text(page_resp) page_hash = utils.hash_text(''.join(page_text)) if page_hash not in self.page_cache: utils.cache_page(self.page_cache, page_hash, self.args['cache_size']) return False return True
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Check if page has been crawled by hashing its text content. Add new pages to the page cache. Return whether page was found in cache.
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train
https://github.com/huntrar/scrape/blob/bf877f6da5df3ed0f2bea60a95acf7df63c88002/scrape/crawler.py#L42-L53
huntrar/scrape
scrape/crawler.py
Crawler.crawl_links
def crawl_links(self, seed_url=None): """Find new links given a seed URL and follow them breadth-first. Save page responses as PART.html files. Return the PART.html filenames created during crawling. """ if seed_url is not None: self.seed_url = seed_url if self.seed_url is None: sys.stderr.write('Crawling requires a seed URL.\n') return [] prev_part_num = utils.get_num_part_files() crawled_links = set() uncrawled_links = OrderedSet() uncrawled_links.add(self.seed_url) try: while uncrawled_links: # Check limit on number of links and pages to crawl if self.limit_reached(len(crawled_links)): break url = uncrawled_links.pop(last=False) # Remove protocol, fragments, etc. to get unique URLs unique_url = utils.remove_protocol(utils.clean_url(url)) if unique_url not in crawled_links: raw_resp = utils.get_raw_resp(url) if raw_resp is None: if not self.args['quiet']: sys.stderr.write('Failed to parse {0}.\n'.format(url)) continue resp = lh.fromstring(raw_resp) if self.page_crawled(resp): continue crawled_links.add(unique_url) new_links = self.get_new_links(url, resp) uncrawled_links.update(new_links) if not self.args['quiet']: print('Crawled {0} (#{1}).'.format(url, len(crawled_links))) # Write page response to PART.html file utils.write_part_file(self.args, url, raw_resp, resp, len(crawled_links)) except (KeyboardInterrupt, EOFError): pass curr_part_num = utils.get_num_part_files() return utils.get_part_filenames(curr_part_num, prev_part_num)
python
def crawl_links(self, seed_url=None): """Find new links given a seed URL and follow them breadth-first. Save page responses as PART.html files. Return the PART.html filenames created during crawling. """ if seed_url is not None: self.seed_url = seed_url if self.seed_url is None: sys.stderr.write('Crawling requires a seed URL.\n') return [] prev_part_num = utils.get_num_part_files() crawled_links = set() uncrawled_links = OrderedSet() uncrawled_links.add(self.seed_url) try: while uncrawled_links: # Check limit on number of links and pages to crawl if self.limit_reached(len(crawled_links)): break url = uncrawled_links.pop(last=False) # Remove protocol, fragments, etc. to get unique URLs unique_url = utils.remove_protocol(utils.clean_url(url)) if unique_url not in crawled_links: raw_resp = utils.get_raw_resp(url) if raw_resp is None: if not self.args['quiet']: sys.stderr.write('Failed to parse {0}.\n'.format(url)) continue resp = lh.fromstring(raw_resp) if self.page_crawled(resp): continue crawled_links.add(unique_url) new_links = self.get_new_links(url, resp) uncrawled_links.update(new_links) if not self.args['quiet']: print('Crawled {0} (#{1}).'.format(url, len(crawled_links))) # Write page response to PART.html file utils.write_part_file(self.args, url, raw_resp, resp, len(crawled_links)) except (KeyboardInterrupt, EOFError): pass curr_part_num = utils.get_num_part_files() return utils.get_part_filenames(curr_part_num, prev_part_num)
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Find new links given a seed URL and follow them breadth-first. Save page responses as PART.html files. Return the PART.html filenames created during crawling.
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train
https://github.com/huntrar/scrape/blob/bf877f6da5df3ed0f2bea60a95acf7df63c88002/scrape/crawler.py#L55-L105
huntrar/scrape
scrape/utils.py
get_proxies
def get_proxies(): """Get available proxies to use with requests library.""" proxies = getproxies() filtered_proxies = {} for key, value in proxies.items(): if key.startswith('http://'): if not value.startswith('http://'): filtered_proxies[key] = 'http://{0}'.format(value) else: filtered_proxies[key] = value return filtered_proxies
python
def get_proxies(): """Get available proxies to use with requests library.""" proxies = getproxies() filtered_proxies = {} for key, value in proxies.items(): if key.startswith('http://'): if not value.startswith('http://'): filtered_proxies[key] = 'http://{0}'.format(value) else: filtered_proxies[key] = value return filtered_proxies
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Get available proxies to use with requests library.
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train
https://github.com/huntrar/scrape/blob/bf877f6da5df3ed0f2bea60a95acf7df63c88002/scrape/utils.py#L63-L73
huntrar/scrape
scrape/utils.py
get_resp
def get_resp(url): """Get webpage response as an lxml.html.HtmlElement object.""" try: headers = {'User-Agent': random.choice(USER_AGENTS)} try: request = requests.get(url, headers=headers, proxies=get_proxies()) except MissingSchema: url = add_protocol(url) request = requests.get(url, headers=headers, proxies=get_proxies()) return lh.fromstring(request.text.encode('utf-8') if PY2 else request.text) except Exception: sys.stderr.write('Failed to retrieve {0}.\n'.format(url)) raise
python
def get_resp(url): """Get webpage response as an lxml.html.HtmlElement object.""" try: headers = {'User-Agent': random.choice(USER_AGENTS)} try: request = requests.get(url, headers=headers, proxies=get_proxies()) except MissingSchema: url = add_protocol(url) request = requests.get(url, headers=headers, proxies=get_proxies()) return lh.fromstring(request.text.encode('utf-8') if PY2 else request.text) except Exception: sys.stderr.write('Failed to retrieve {0}.\n'.format(url)) raise
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Get webpage response as an lxml.html.HtmlElement object.
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train
https://github.com/huntrar/scrape/blob/bf877f6da5df3ed0f2bea60a95acf7df63c88002/scrape/utils.py#L76-L88
huntrar/scrape
scrape/utils.py
enable_cache
def enable_cache(): """Enable requests library cache.""" try: import requests_cache except ImportError as err: sys.stderr.write('Failed to enable cache: {0}\n'.format(str(err))) return if not os.path.exists(CACHE_DIR): os.makedirs(CACHE_DIR) requests_cache.install_cache(CACHE_FILE)
python
def enable_cache(): """Enable requests library cache.""" try: import requests_cache except ImportError as err: sys.stderr.write('Failed to enable cache: {0}\n'.format(str(err))) return if not os.path.exists(CACHE_DIR): os.makedirs(CACHE_DIR) requests_cache.install_cache(CACHE_FILE)
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Enable requests library cache.
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train
https://github.com/huntrar/scrape/blob/bf877f6da5df3ed0f2bea60a95acf7df63c88002/scrape/utils.py#L106-L115
huntrar/scrape
scrape/utils.py
hash_text
def hash_text(text): """Return MD5 hash of a string.""" md5 = hashlib.md5() md5.update(text) return md5.hexdigest()
python
def hash_text(text): """Return MD5 hash of a string.""" md5 = hashlib.md5() md5.update(text) return md5.hexdigest()
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Return MD5 hash of a string.
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train
https://github.com/huntrar/scrape/blob/bf877f6da5df3ed0f2bea60a95acf7df63c88002/scrape/utils.py#L127-L131
huntrar/scrape
scrape/utils.py
cache_page
def cache_page(page_cache, page_hash, cache_size): """Add a page to the page cache.""" page_cache.append(page_hash) if len(page_cache) > cache_size: page_cache.pop(0)
python
def cache_page(page_cache, page_hash, cache_size): """Add a page to the page cache.""" page_cache.append(page_hash) if len(page_cache) > cache_size: page_cache.pop(0)
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Add a page to the page cache.
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train
https://github.com/huntrar/scrape/blob/bf877f6da5df3ed0f2bea60a95acf7df63c88002/scrape/utils.py#L134-L138
huntrar/scrape
scrape/utils.py
re_filter
def re_filter(text, regexps): """Filter text using regular expressions.""" if not regexps: return text matched_text = [] compiled_regexps = [re.compile(x) for x in regexps] for line in text: if line in matched_text: continue for regexp in compiled_regexps: found = regexp.search(line) if found and found.group(): matched_text.append(line) return matched_text or text
python
def re_filter(text, regexps): """Filter text using regular expressions.""" if not regexps: return text matched_text = [] compiled_regexps = [re.compile(x) for x in regexps] for line in text: if line in matched_text: continue for regexp in compiled_regexps: found = regexp.search(line) if found and found.group(): matched_text.append(line) return matched_text or text
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Filter text using regular expressions.
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train
https://github.com/huntrar/scrape/blob/bf877f6da5df3ed0f2bea60a95acf7df63c88002/scrape/utils.py#L144-L160
huntrar/scrape
scrape/utils.py
remove_whitespace
def remove_whitespace(text): """Remove unnecessary whitespace while keeping logical structure. Keyword arguments: text -- text to remove whitespace from (list) Retain paragraph structure but remove other whitespace, such as between words on a line and at the start and end of the text. """ clean_text = [] curr_line = '' # Remove any newlines that follow two lines of whitespace consecutively # Also remove whitespace at start and end of text while text: if not curr_line: # Find the first line that is not whitespace and add it curr_line = text.pop(0) while not curr_line.strip() and text: curr_line = text.pop(0) if curr_line.strip(): clean_text.append(curr_line) else: # Filter the rest of the lines curr_line = text.pop(0) if not text: # Add the final line if it is not whitespace if curr_line.strip(): clean_text.append(curr_line) continue if curr_line.strip(): clean_text.append(curr_line) else: # If the current line is whitespace then make sure there is # no more than one consecutive line of whitespace following if not text[0].strip(): if len(text) > 1 and text[1].strip(): clean_text.append(curr_line) else: clean_text.append(curr_line) # Now filter each individual line for extraneous whitespace cleaner_text = [] for line in clean_text: clean_line = ' '.join(line.split()) if not clean_line.strip(): clean_line += '\n' cleaner_text.append(clean_line) return cleaner_text
python
def remove_whitespace(text): """Remove unnecessary whitespace while keeping logical structure. Keyword arguments: text -- text to remove whitespace from (list) Retain paragraph structure but remove other whitespace, such as between words on a line and at the start and end of the text. """ clean_text = [] curr_line = '' # Remove any newlines that follow two lines of whitespace consecutively # Also remove whitespace at start and end of text while text: if not curr_line: # Find the first line that is not whitespace and add it curr_line = text.pop(0) while not curr_line.strip() and text: curr_line = text.pop(0) if curr_line.strip(): clean_text.append(curr_line) else: # Filter the rest of the lines curr_line = text.pop(0) if not text: # Add the final line if it is not whitespace if curr_line.strip(): clean_text.append(curr_line) continue if curr_line.strip(): clean_text.append(curr_line) else: # If the current line is whitespace then make sure there is # no more than one consecutive line of whitespace following if not text[0].strip(): if len(text) > 1 and text[1].strip(): clean_text.append(curr_line) else: clean_text.append(curr_line) # Now filter each individual line for extraneous whitespace cleaner_text = [] for line in clean_text: clean_line = ' '.join(line.split()) if not clean_line.strip(): clean_line += '\n' cleaner_text.append(clean_line) return cleaner_text
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Remove unnecessary whitespace while keeping logical structure. Keyword arguments: text -- text to remove whitespace from (list) Retain paragraph structure but remove other whitespace, such as between words on a line and at the start and end of the text.
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train
https://github.com/huntrar/scrape/blob/bf877f6da5df3ed0f2bea60a95acf7df63c88002/scrape/utils.py#L163-L211
huntrar/scrape
scrape/utils.py
parse_text
def parse_text(infile, xpath=None, filter_words=None, attributes=None): """Filter text using XPath, regex keywords, and tag attributes. Keyword arguments: infile -- HTML or text content to parse (list) xpath -- an XPath expression (str) filter_words -- regex keywords (list) attributes -- HTML tag attributes (list) Return a list of strings of text. """ infiles = [] text = [] if xpath is not None: infile = parse_html(infile, xpath) if isinstance(infile, list): if isinstance(infile[0], lh.HtmlElement): infiles = list(infile) else: text = [line + '\n' for line in infile] elif isinstance(infile, lh.HtmlElement): infiles = [infile] else: text = [infile] else: infiles = [infile] if attributes is not None: attributes = [clean_attr(x) for x in attributes] attributes = [x for x in attributes if x] else: attributes = ['text()'] if not text: text_xpath = '//*[not(self::script) and not(self::style)]' for attr in attributes: for infile in infiles: if isinstance(infile, lh.HtmlElement): new_text = infile.xpath('{0}/{1}'.format(text_xpath, attr)) else: # re.split preserves delimiters place in the list new_text = [x for x in re.split('(\n)', infile) if x] text += new_text if filter_words is not None: text = re_filter(text, filter_words) return [''.join(x for x in line if x in string.printable) for line in remove_whitespace(text) if line]
python
def parse_text(infile, xpath=None, filter_words=None, attributes=None): """Filter text using XPath, regex keywords, and tag attributes. Keyword arguments: infile -- HTML or text content to parse (list) xpath -- an XPath expression (str) filter_words -- regex keywords (list) attributes -- HTML tag attributes (list) Return a list of strings of text. """ infiles = [] text = [] if xpath is not None: infile = parse_html(infile, xpath) if isinstance(infile, list): if isinstance(infile[0], lh.HtmlElement): infiles = list(infile) else: text = [line + '\n' for line in infile] elif isinstance(infile, lh.HtmlElement): infiles = [infile] else: text = [infile] else: infiles = [infile] if attributes is not None: attributes = [clean_attr(x) for x in attributes] attributes = [x for x in attributes if x] else: attributes = ['text()'] if not text: text_xpath = '//*[not(self::script) and not(self::style)]' for attr in attributes: for infile in infiles: if isinstance(infile, lh.HtmlElement): new_text = infile.xpath('{0}/{1}'.format(text_xpath, attr)) else: # re.split preserves delimiters place in the list new_text = [x for x in re.split('(\n)', infile) if x] text += new_text if filter_words is not None: text = re_filter(text, filter_words) return [''.join(x for x in line if x in string.printable) for line in remove_whitespace(text) if line]
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Filter text using XPath, regex keywords, and tag attributes. Keyword arguments: infile -- HTML or text content to parse (list) xpath -- an XPath expression (str) filter_words -- regex keywords (list) attributes -- HTML tag attributes (list) Return a list of strings of text.
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train
https://github.com/huntrar/scrape/blob/bf877f6da5df3ed0f2bea60a95acf7df63c88002/scrape/utils.py#L214-L261
huntrar/scrape
scrape/utils.py
get_parsed_text
def get_parsed_text(args, infilename): """Parse and return text content of infiles. Keyword arguments: args -- program arguments (dict) infilenames -- name of user-inputted and/or downloaded file (str) Return a list of strings of text. """ parsed_text = [] if infilename.endswith('.html'): # Convert HTML to lxml object for content parsing html = lh.fromstring(read_files(infilename)) text = None else: html = None text = read_files(infilename) if html is not None: parsed_text = parse_text(html, args['xpath'], args['filter'], args['attributes']) elif text is not None: parsed_text = parse_text(text, args['xpath'], args['filter']) else: if not args['quiet']: sys.stderr.write('Failed to parse text from {0}.\n' .format(infilename)) return parsed_text
python
def get_parsed_text(args, infilename): """Parse and return text content of infiles. Keyword arguments: args -- program arguments (dict) infilenames -- name of user-inputted and/or downloaded file (str) Return a list of strings of text. """ parsed_text = [] if infilename.endswith('.html'): # Convert HTML to lxml object for content parsing html = lh.fromstring(read_files(infilename)) text = None else: html = None text = read_files(infilename) if html is not None: parsed_text = parse_text(html, args['xpath'], args['filter'], args['attributes']) elif text is not None: parsed_text = parse_text(text, args['xpath'], args['filter']) else: if not args['quiet']: sys.stderr.write('Failed to parse text from {0}.\n' .format(infilename)) return parsed_text
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Parse and return text content of infiles. Keyword arguments: args -- program arguments (dict) infilenames -- name of user-inputted and/or downloaded file (str) Return a list of strings of text.
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train
https://github.com/huntrar/scrape/blob/bf877f6da5df3ed0f2bea60a95acf7df63c88002/scrape/utils.py#L264-L291
huntrar/scrape
scrape/utils.py
parse_html
def parse_html(infile, xpath): """Filter HTML using XPath.""" if not isinstance(infile, lh.HtmlElement): infile = lh.fromstring(infile) infile = infile.xpath(xpath) if not infile: raise ValueError('XPath {0} returned no results.'.format(xpath)) return infile
python
def parse_html(infile, xpath): """Filter HTML using XPath.""" if not isinstance(infile, lh.HtmlElement): infile = lh.fromstring(infile) infile = infile.xpath(xpath) if not infile: raise ValueError('XPath {0} returned no results.'.format(xpath)) return infile
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Filter HTML using XPath.
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train
https://github.com/huntrar/scrape/blob/bf877f6da5df3ed0f2bea60a95acf7df63c88002/scrape/utils.py#L309-L316
huntrar/scrape
scrape/utils.py
clean_url
def clean_url(url, base_url=None): """Add base netloc and path to internal URLs and remove www, fragments.""" parsed_url = urlparse(url) fragment = '{url.fragment}'.format(url=parsed_url) if fragment: url = url.split(fragment)[0] # Identify internal URLs and fix their format netloc = '{url.netloc}'.format(url=parsed_url) if base_url is not None and not netloc: parsed_base = urlparse(base_url) split_base = '{url.scheme}://{url.netloc}{url.path}/'.format(url=parsed_base) url = urljoin(split_base, url) netloc = '{url.netloc}'.format(url=urlparse(url)) if 'www.' in netloc: url = url.replace(netloc, netloc.replace('www.', '')) return url.rstrip(string.punctuation)
python
def clean_url(url, base_url=None): """Add base netloc and path to internal URLs and remove www, fragments.""" parsed_url = urlparse(url) fragment = '{url.fragment}'.format(url=parsed_url) if fragment: url = url.split(fragment)[0] # Identify internal URLs and fix their format netloc = '{url.netloc}'.format(url=parsed_url) if base_url is not None and not netloc: parsed_base = urlparse(base_url) split_base = '{url.scheme}://{url.netloc}{url.path}/'.format(url=parsed_base) url = urljoin(split_base, url) netloc = '{url.netloc}'.format(url=urlparse(url)) if 'www.' in netloc: url = url.replace(netloc, netloc.replace('www.', '')) return url.rstrip(string.punctuation)
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Add base netloc and path to internal URLs and remove www, fragments.
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train
https://github.com/huntrar/scrape/blob/bf877f6da5df3ed0f2bea60a95acf7df63c88002/scrape/utils.py#L348-L366
huntrar/scrape
scrape/utils.py
add_url_suffix
def add_url_suffix(url): """Add .com suffix to URL if none found.""" url = url.rstrip('/') if not has_suffix(url): return '{0}.com'.format(url) return url
python
def add_url_suffix(url): """Add .com suffix to URL if none found.""" url = url.rstrip('/') if not has_suffix(url): return '{0}.com'.format(url) return url
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Add .com suffix to URL if none found.
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train
https://github.com/huntrar/scrape/blob/bf877f6da5df3ed0f2bea60a95acf7df63c88002/scrape/utils.py#L374-L379
huntrar/scrape
scrape/utils.py
get_outfilename
def get_outfilename(url, domain=None): """Construct the output filename from domain and end of path.""" if domain is None: domain = get_domain(url) path = '{url.path}'.format(url=urlparse(url)) if '.' in path: tail_url = path.split('.')[-2] else: tail_url = path if tail_url: if '/' in tail_url: tail_pieces = [x for x in tail_url.split('/') if x] tail_url = tail_pieces[-1] # Keep length of return string below or equal to max_len max_len = 24 if domain: max_len -= (len(domain) + 1) if len(tail_url) > max_len: if '-' in tail_url: tail_pieces = [x for x in tail_url.split('-') if x] tail_url = tail_pieces.pop(0) if len(tail_url) > max_len: tail_url = tail_url[:max_len] else: # Add as many tail pieces that can fit tail_len = 0 for piece in tail_pieces: tail_len += len(piece) if tail_len <= max_len: tail_url += '-' + piece else: break else: tail_url = tail_url[:max_len] if domain: return '{0}-{1}'.format(domain, tail_url).lower() return tail_url return domain.lower()
python
def get_outfilename(url, domain=None): """Construct the output filename from domain and end of path.""" if domain is None: domain = get_domain(url) path = '{url.path}'.format(url=urlparse(url)) if '.' in path: tail_url = path.split('.')[-2] else: tail_url = path if tail_url: if '/' in tail_url: tail_pieces = [x for x in tail_url.split('/') if x] tail_url = tail_pieces[-1] # Keep length of return string below or equal to max_len max_len = 24 if domain: max_len -= (len(domain) + 1) if len(tail_url) > max_len: if '-' in tail_url: tail_pieces = [x for x in tail_url.split('-') if x] tail_url = tail_pieces.pop(0) if len(tail_url) > max_len: tail_url = tail_url[:max_len] else: # Add as many tail pieces that can fit tail_len = 0 for piece in tail_pieces: tail_len += len(piece) if tail_len <= max_len: tail_url += '-' + piece else: break else: tail_url = tail_url[:max_len] if domain: return '{0}-{1}'.format(domain, tail_url).lower() return tail_url return domain.lower()
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Construct the output filename from domain and end of path.
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train
https://github.com/huntrar/scrape/blob/bf877f6da5df3ed0f2bea60a95acf7df63c88002/scrape/utils.py#L385-L426
huntrar/scrape
scrape/utils.py
get_single_outfilename
def get_single_outfilename(args): """Use first possible entry in query as filename.""" for arg in args['query']: if arg in args['files']: return ('.'.join(arg.split('.')[:-1])).lower() for url in args['urls']: if arg.strip('/') in url: domain = get_domain(url) return get_outfilename(url, domain) sys.stderr.write('Failed to construct a single out filename.\n') return ''
python
def get_single_outfilename(args): """Use first possible entry in query as filename.""" for arg in args['query']: if arg in args['files']: return ('.'.join(arg.split('.')[:-1])).lower() for url in args['urls']: if arg.strip('/') in url: domain = get_domain(url) return get_outfilename(url, domain) sys.stderr.write('Failed to construct a single out filename.\n') return ''
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Use first possible entry in query as filename.
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train
https://github.com/huntrar/scrape/blob/bf877f6da5df3ed0f2bea60a95acf7df63c88002/scrape/utils.py#L429-L439
huntrar/scrape
scrape/utils.py
modify_filename_id
def modify_filename_id(filename): """Modify filename to have a unique numerical identifier.""" split_filename = os.path.splitext(filename) id_num_re = re.compile('(\(\d\))') id_num = re.findall(id_num_re, split_filename[-2]) if id_num: new_id_num = int(id_num[-1].lstrip('(').rstrip(')')) + 1 # Reconstruct filename with incremented id and its extension filename = ''.join((re.sub(id_num_re, '({0})'.format(new_id_num), split_filename[-2]), split_filename[-1])) else: split_filename = os.path.splitext(filename) # Reconstruct filename with new id and its extension filename = ''.join(('{0} (2)'.format(split_filename[-2]), split_filename[-1])) return filename
python
def modify_filename_id(filename): """Modify filename to have a unique numerical identifier.""" split_filename = os.path.splitext(filename) id_num_re = re.compile('(\(\d\))') id_num = re.findall(id_num_re, split_filename[-2]) if id_num: new_id_num = int(id_num[-1].lstrip('(').rstrip(')')) + 1 # Reconstruct filename with incremented id and its extension filename = ''.join((re.sub(id_num_re, '({0})'.format(new_id_num), split_filename[-2]), split_filename[-1])) else: split_filename = os.path.splitext(filename) # Reconstruct filename with new id and its extension filename = ''.join(('{0} (2)'.format(split_filename[-2]), split_filename[-1])) return filename
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Modify filename to have a unique numerical identifier.
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train
https://github.com/huntrar/scrape/blob/bf877f6da5df3ed0f2bea60a95acf7df63c88002/scrape/utils.py#L451-L468
huntrar/scrape
scrape/utils.py
overwrite_file_check
def overwrite_file_check(args, filename): """If filename exists, overwrite or modify it to be unique.""" if not args['overwrite'] and os.path.exists(filename): # Confirm overwriting of the file, or modify filename if args['no_overwrite']: overwrite = False else: try: overwrite = confirm_input(input('Overwrite {0}? (yes/no): ' .format(filename))) except (KeyboardInterrupt, EOFError): sys.exit() if not overwrite: new_filename = modify_filename_id(filename) while os.path.exists(new_filename): new_filename = modify_filename_id(new_filename) return new_filename return filename
python
def overwrite_file_check(args, filename): """If filename exists, overwrite or modify it to be unique.""" if not args['overwrite'] and os.path.exists(filename): # Confirm overwriting of the file, or modify filename if args['no_overwrite']: overwrite = False else: try: overwrite = confirm_input(input('Overwrite {0}? (yes/no): ' .format(filename))) except (KeyboardInterrupt, EOFError): sys.exit() if not overwrite: new_filename = modify_filename_id(filename) while os.path.exists(new_filename): new_filename = modify_filename_id(new_filename) return new_filename return filename
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If filename exists, overwrite or modify it to be unique.
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train
https://github.com/huntrar/scrape/blob/bf877f6da5df3ed0f2bea60a95acf7df63c88002/scrape/utils.py#L471-L488
huntrar/scrape
scrape/utils.py
print_text
def print_text(args, infilenames, outfilename=None): """Print text content of infiles to stdout. Keyword arguments: args -- program arguments (dict) infilenames -- names of user-inputted and/or downloaded files (list) outfilename -- only used for interface purposes (None) """ for infilename in infilenames: parsed_text = get_parsed_text(args, infilename) if parsed_text: for line in parsed_text: print(line) print('')
python
def print_text(args, infilenames, outfilename=None): """Print text content of infiles to stdout. Keyword arguments: args -- program arguments (dict) infilenames -- names of user-inputted and/or downloaded files (list) outfilename -- only used for interface purposes (None) """ for infilename in infilenames: parsed_text = get_parsed_text(args, infilename) if parsed_text: for line in parsed_text: print(line) print('')
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Print text content of infiles to stdout. Keyword arguments: args -- program arguments (dict) infilenames -- names of user-inputted and/or downloaded files (list) outfilename -- only used for interface purposes (None)
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train
https://github.com/huntrar/scrape/blob/bf877f6da5df3ed0f2bea60a95acf7df63c88002/scrape/utils.py#L491-L504
huntrar/scrape
scrape/utils.py
write_pdf_files
def write_pdf_files(args, infilenames, outfilename): """Write pdf file(s) to disk using pdfkit. Keyword arguments: args -- program arguments (dict) infilenames -- names of user-inputted and/or downloaded files (list) outfilename -- name of output pdf file (str) """ if not outfilename.endswith('.pdf'): outfilename = outfilename + '.pdf' outfilename = overwrite_file_check(args, outfilename) options = {} try: if args['multiple']: # Multiple files are written one at a time, so infilenames will # never contain more than one file here infilename = infilenames[0] if not args['quiet']: print('Attempting to write to {0}.'.format(outfilename)) else: options['quiet'] = None if args['xpath']: # Process HTML with XPath before writing html = parse_html(read_files(infilename), args['xpath']) if isinstance(html, list): if isinstance(html[0], str): pk.from_string('\n'.join(html), outfilename, options=options) else: pk.from_string('\n'.join(lh.tostring(x) for x in html), outfilename, options=options) elif isinstance(html, str): pk.from_string(html, outfilename, options=options) else: pk.from_string(lh.tostring(html), outfilename, options=options) else: pk.from_file(infilename, outfilename, options=options) elif args['single']: if not args['quiet']: print('Attempting to write {0} page(s) to {1}.' .format(len(infilenames), outfilename)) else: options['quiet'] = None if args['xpath']: # Process HTML with XPath before writing html = parse_html(read_files(infilenames), args['xpath']) if isinstance(html, list): if isinstance(html[0], str): pk.from_string('\n'.join(html), outfilename, options=options) else: pk.from_string('\n'.join(lh.tostring(x) for x in html), outfilename, options=options) elif isinstance(html, str): pk.from_string(html, outfilename, options=options) else: pk.from_string(lh.tostring(html), outfilename, options=options) else: pk.from_file(infilenames, outfilename, options=options) return True except (OSError, IOError) as err: sys.stderr.write('An error occurred while writing {0}:\n{1}' .format(outfilename, str(err))) return False
python
def write_pdf_files(args, infilenames, outfilename): """Write pdf file(s) to disk using pdfkit. Keyword arguments: args -- program arguments (dict) infilenames -- names of user-inputted and/or downloaded files (list) outfilename -- name of output pdf file (str) """ if not outfilename.endswith('.pdf'): outfilename = outfilename + '.pdf' outfilename = overwrite_file_check(args, outfilename) options = {} try: if args['multiple']: # Multiple files are written one at a time, so infilenames will # never contain more than one file here infilename = infilenames[0] if not args['quiet']: print('Attempting to write to {0}.'.format(outfilename)) else: options['quiet'] = None if args['xpath']: # Process HTML with XPath before writing html = parse_html(read_files(infilename), args['xpath']) if isinstance(html, list): if isinstance(html[0], str): pk.from_string('\n'.join(html), outfilename, options=options) else: pk.from_string('\n'.join(lh.tostring(x) for x in html), outfilename, options=options) elif isinstance(html, str): pk.from_string(html, outfilename, options=options) else: pk.from_string(lh.tostring(html), outfilename, options=options) else: pk.from_file(infilename, outfilename, options=options) elif args['single']: if not args['quiet']: print('Attempting to write {0} page(s) to {1}.' .format(len(infilenames), outfilename)) else: options['quiet'] = None if args['xpath']: # Process HTML with XPath before writing html = parse_html(read_files(infilenames), args['xpath']) if isinstance(html, list): if isinstance(html[0], str): pk.from_string('\n'.join(html), outfilename, options=options) else: pk.from_string('\n'.join(lh.tostring(x) for x in html), outfilename, options=options) elif isinstance(html, str): pk.from_string(html, outfilename, options=options) else: pk.from_string(lh.tostring(html), outfilename, options=options) else: pk.from_file(infilenames, outfilename, options=options) return True except (OSError, IOError) as err: sys.stderr.write('An error occurred while writing {0}:\n{1}' .format(outfilename, str(err))) return False
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Write pdf file(s) to disk using pdfkit. Keyword arguments: args -- program arguments (dict) infilenames -- names of user-inputted and/or downloaded files (list) outfilename -- name of output pdf file (str)
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train
https://github.com/huntrar/scrape/blob/bf877f6da5df3ed0f2bea60a95acf7df63c88002/scrape/utils.py#L507-L575
huntrar/scrape
scrape/utils.py
write_csv_files
def write_csv_files(args, infilenames, outfilename): """Write csv file(s) to disk. Keyword arguments: args -- program arguments (dict) infilenames -- names of user-inputted and/or downloaded files (list) outfilename -- name of output text file (str) """ def csv_convert(line): """Strip punctuation and insert commas""" clean_line = [] for word in line.split(' '): clean_line.append(word.strip(string.punctuation)) return ', '.join(clean_line) if not outfilename.endswith('.csv'): outfilename = outfilename + '.csv' outfilename = overwrite_file_check(args, outfilename) all_text = [] # Text must be aggregated if writing to a single output file for i, infilename in enumerate(infilenames): parsed_text = get_parsed_text(args, infilename) if parsed_text: if args['multiple']: if not args['quiet']: print('Attempting to write to {0}.'.format(outfilename)) csv_text = [csv_convert(x) for x in parsed_text] print(csv_text) write_file(csv_text, outfilename) elif args['single']: all_text += parsed_text # Newline added between multiple files being aggregated if len(infilenames) > 1 and i < len(infilenames) - 1: all_text.append('\n') # Write all text to a single output file if args['single'] and all_text: if not args['quiet']: print('Attempting to write {0} page(s) to {1}.' .format(len(infilenames), outfilename)) csv_text = [csv_convert(x) for x in all_text] print(csv_text) write_file(csv_text, outfilename)
python
def write_csv_files(args, infilenames, outfilename): """Write csv file(s) to disk. Keyword arguments: args -- program arguments (dict) infilenames -- names of user-inputted and/or downloaded files (list) outfilename -- name of output text file (str) """ def csv_convert(line): """Strip punctuation and insert commas""" clean_line = [] for word in line.split(' '): clean_line.append(word.strip(string.punctuation)) return ', '.join(clean_line) if not outfilename.endswith('.csv'): outfilename = outfilename + '.csv' outfilename = overwrite_file_check(args, outfilename) all_text = [] # Text must be aggregated if writing to a single output file for i, infilename in enumerate(infilenames): parsed_text = get_parsed_text(args, infilename) if parsed_text: if args['multiple']: if not args['quiet']: print('Attempting to write to {0}.'.format(outfilename)) csv_text = [csv_convert(x) for x in parsed_text] print(csv_text) write_file(csv_text, outfilename) elif args['single']: all_text += parsed_text # Newline added between multiple files being aggregated if len(infilenames) > 1 and i < len(infilenames) - 1: all_text.append('\n') # Write all text to a single output file if args['single'] and all_text: if not args['quiet']: print('Attempting to write {0} page(s) to {1}.' .format(len(infilenames), outfilename)) csv_text = [csv_convert(x) for x in all_text] print(csv_text) write_file(csv_text, outfilename)
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Write csv file(s) to disk. Keyword arguments: args -- program arguments (dict) infilenames -- names of user-inputted and/or downloaded files (list) outfilename -- name of output text file (str)
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train
https://github.com/huntrar/scrape/blob/bf877f6da5df3ed0f2bea60a95acf7df63c88002/scrape/utils.py#L578-L622
huntrar/scrape
scrape/utils.py
write_text_files
def write_text_files(args, infilenames, outfilename): """Write text file(s) to disk. Keyword arguments: args -- program arguments (dict) infilenames -- names of user-inputted and/or downloaded files (list) outfilename -- name of output text file (str) """ if not outfilename.endswith('.txt'): outfilename = outfilename + '.txt' outfilename = overwrite_file_check(args, outfilename) all_text = [] # Text must be aggregated if writing to a single output file for i, infilename in enumerate(infilenames): parsed_text = get_parsed_text(args, infilename) if parsed_text: if args['multiple']: if not args['quiet']: print('Attempting to write to {0}.'.format(outfilename)) write_file(parsed_text, outfilename) elif args['single']: all_text += parsed_text # Newline added between multiple files being aggregated if len(infilenames) > 1 and i < len(infilenames) - 1: all_text.append('\n') # Write all text to a single output file if args['single'] and all_text: if not args['quiet']: print('Attempting to write {0} page(s) to {1}.' .format(len(infilenames), outfilename)) write_file(all_text, outfilename)
python
def write_text_files(args, infilenames, outfilename): """Write text file(s) to disk. Keyword arguments: args -- program arguments (dict) infilenames -- names of user-inputted and/or downloaded files (list) outfilename -- name of output text file (str) """ if not outfilename.endswith('.txt'): outfilename = outfilename + '.txt' outfilename = overwrite_file_check(args, outfilename) all_text = [] # Text must be aggregated if writing to a single output file for i, infilename in enumerate(infilenames): parsed_text = get_parsed_text(args, infilename) if parsed_text: if args['multiple']: if not args['quiet']: print('Attempting to write to {0}.'.format(outfilename)) write_file(parsed_text, outfilename) elif args['single']: all_text += parsed_text # Newline added between multiple files being aggregated if len(infilenames) > 1 and i < len(infilenames) - 1: all_text.append('\n') # Write all text to a single output file if args['single'] and all_text: if not args['quiet']: print('Attempting to write {0} page(s) to {1}.' .format(len(infilenames), outfilename)) write_file(all_text, outfilename)
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Write text file(s) to disk. Keyword arguments: args -- program arguments (dict) infilenames -- names of user-inputted and/or downloaded files (list) outfilename -- name of output text file (str)
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train
https://github.com/huntrar/scrape/blob/bf877f6da5df3ed0f2bea60a95acf7df63c88002/scrape/utils.py#L625-L656
huntrar/scrape
scrape/utils.py
write_file
def write_file(data, outfilename): """Write a single file to disk.""" if not data: return False try: with open(outfilename, 'w') as outfile: for line in data: if line: outfile.write(line) return True except (OSError, IOError) as err: sys.stderr.write('An error occurred while writing {0}:\n{1}' .format(outfilename, str(err))) return False
python
def write_file(data, outfilename): """Write a single file to disk.""" if not data: return False try: with open(outfilename, 'w') as outfile: for line in data: if line: outfile.write(line) return True except (OSError, IOError) as err: sys.stderr.write('An error occurred while writing {0}:\n{1}' .format(outfilename, str(err))) return False
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Write a single file to disk.
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train
https://github.com/huntrar/scrape/blob/bf877f6da5df3ed0f2bea60a95acf7df63c88002/scrape/utils.py#L659-L672
huntrar/scrape
scrape/utils.py
get_num_part_files
def get_num_part_files(): """Get the number of PART.html files currently saved to disk.""" num_parts = 0 for filename in os.listdir(os.getcwd()): if filename.startswith('PART') and filename.endswith('.html'): num_parts += 1 return num_parts
python
def get_num_part_files(): """Get the number of PART.html files currently saved to disk.""" num_parts = 0 for filename in os.listdir(os.getcwd()): if filename.startswith('PART') and filename.endswith('.html'): num_parts += 1 return num_parts
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Get the number of PART.html files currently saved to disk.
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train
https://github.com/huntrar/scrape/blob/bf877f6da5df3ed0f2bea60a95acf7df63c88002/scrape/utils.py#L675-L681
huntrar/scrape
scrape/utils.py
write_part_images
def write_part_images(url, raw_html, html, filename): """Write image file(s) associated with HTML to disk, substituting filenames. Keywords arguments: url -- the URL from which the HTML has been extracted from (str) raw_html -- unparsed HTML file content (list) html -- parsed HTML file content (lxml.html.HtmlElement) (default: None) filename -- the PART.html filename (str) Return raw HTML with image names replaced with local image filenames. """ save_dirname = '{0}_files'.format(os.path.splitext(filename)[0]) if not os.path.exists(save_dirname): os.makedirs(save_dirname) images = html.xpath('//img/@src') internal_image_urls = [x for x in images if x.startswith('/')] headers = {'User-Agent': random.choice(USER_AGENTS)} for img_url in images: img_name = img_url.split('/')[-1] if "?" in img_name: img_name = img_name.split('?')[0] if not os.path.splitext(img_name)[1]: img_name = '{0}.jpeg'.format(img_name) try: full_img_name = os.path.join(save_dirname, img_name) with open(full_img_name, 'wb') as img: if img_url in internal_image_urls: # Internal images need base url added full_img_url = '{0}{1}'.format(url.rstrip('/'), img_url) else: # External image full_img_url = img_url img_content = requests.get(full_img_url, headers=headers, proxies=get_proxies()).content img.write(img_content) raw_html = raw_html.replace(escape(img_url), full_img_name) except (OSError, IOError): pass time.sleep(random.uniform(0, 0.5)) # Slight delay between downloads return raw_html
python
def write_part_images(url, raw_html, html, filename): """Write image file(s) associated with HTML to disk, substituting filenames. Keywords arguments: url -- the URL from which the HTML has been extracted from (str) raw_html -- unparsed HTML file content (list) html -- parsed HTML file content (lxml.html.HtmlElement) (default: None) filename -- the PART.html filename (str) Return raw HTML with image names replaced with local image filenames. """ save_dirname = '{0}_files'.format(os.path.splitext(filename)[0]) if not os.path.exists(save_dirname): os.makedirs(save_dirname) images = html.xpath('//img/@src') internal_image_urls = [x for x in images if x.startswith('/')] headers = {'User-Agent': random.choice(USER_AGENTS)} for img_url in images: img_name = img_url.split('/')[-1] if "?" in img_name: img_name = img_name.split('?')[0] if not os.path.splitext(img_name)[1]: img_name = '{0}.jpeg'.format(img_name) try: full_img_name = os.path.join(save_dirname, img_name) with open(full_img_name, 'wb') as img: if img_url in internal_image_urls: # Internal images need base url added full_img_url = '{0}{1}'.format(url.rstrip('/'), img_url) else: # External image full_img_url = img_url img_content = requests.get(full_img_url, headers=headers, proxies=get_proxies()).content img.write(img_content) raw_html = raw_html.replace(escape(img_url), full_img_name) except (OSError, IOError): pass time.sleep(random.uniform(0, 0.5)) # Slight delay between downloads return raw_html
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Write image file(s) associated with HTML to disk, substituting filenames. Keywords arguments: url -- the URL from which the HTML has been extracted from (str) raw_html -- unparsed HTML file content (list) html -- parsed HTML file content (lxml.html.HtmlElement) (default: None) filename -- the PART.html filename (str) Return raw HTML with image names replaced with local image filenames.
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train
https://github.com/huntrar/scrape/blob/bf877f6da5df3ed0f2bea60a95acf7df63c88002/scrape/utils.py#L684-L725
huntrar/scrape
scrape/utils.py
write_part_file
def write_part_file(args, url, raw_html, html=None, part_num=None): """Write PART.html file(s) to disk, images in PART_files directory. Keyword arguments: args -- program arguments (dict) raw_html -- unparsed HTML file content (list) html -- parsed HTML file content (lxml.html.HtmlElement) (default: None) part_num -- PART(#).html file number (int) (default: None) """ if part_num is None: part_num = get_num_part_files() + 1 filename = 'PART{0}.html'.format(part_num) # Decode bytes to string in Python 3 versions if not PY2 and isinstance(raw_html, bytes): raw_html = raw_html.encode('ascii', 'ignore') # Convert html to an lh.HtmlElement object for parsing/saving images if html is None: html = lh.fromstring(raw_html) # Parse HTML if XPath entered if args['xpath']: raw_html = parse_html(html, args['xpath']) if isinstance(raw_html, list): if not isinstance(raw_html[0], lh.HtmlElement): raise ValueError('XPath should return an HtmlElement object.') else: if not isinstance(raw_html, lh.HtmlElement): raise ValueError('XPath should return an HtmlElement object.') # Write HTML and possibly images to disk if raw_html: if not args['no_images'] and (args['pdf'] or args['html']): raw_html = write_part_images(url, raw_html, html, filename) with open(filename, 'w') as part: if not isinstance(raw_html, list): raw_html = [raw_html] if isinstance(raw_html[0], lh.HtmlElement): for elem in raw_html: part.write(lh.tostring(elem)) else: for line in raw_html: part.write(line)
python
def write_part_file(args, url, raw_html, html=None, part_num=None): """Write PART.html file(s) to disk, images in PART_files directory. Keyword arguments: args -- program arguments (dict) raw_html -- unparsed HTML file content (list) html -- parsed HTML file content (lxml.html.HtmlElement) (default: None) part_num -- PART(#).html file number (int) (default: None) """ if part_num is None: part_num = get_num_part_files() + 1 filename = 'PART{0}.html'.format(part_num) # Decode bytes to string in Python 3 versions if not PY2 and isinstance(raw_html, bytes): raw_html = raw_html.encode('ascii', 'ignore') # Convert html to an lh.HtmlElement object for parsing/saving images if html is None: html = lh.fromstring(raw_html) # Parse HTML if XPath entered if args['xpath']: raw_html = parse_html(html, args['xpath']) if isinstance(raw_html, list): if not isinstance(raw_html[0], lh.HtmlElement): raise ValueError('XPath should return an HtmlElement object.') else: if not isinstance(raw_html, lh.HtmlElement): raise ValueError('XPath should return an HtmlElement object.') # Write HTML and possibly images to disk if raw_html: if not args['no_images'] and (args['pdf'] or args['html']): raw_html = write_part_images(url, raw_html, html, filename) with open(filename, 'w') as part: if not isinstance(raw_html, list): raw_html = [raw_html] if isinstance(raw_html[0], lh.HtmlElement): for elem in raw_html: part.write(lh.tostring(elem)) else: for line in raw_html: part.write(line)
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train
https://github.com/huntrar/scrape/blob/bf877f6da5df3ed0f2bea60a95acf7df63c88002/scrape/utils.py#L728-L771
huntrar/scrape
scrape/utils.py
get_part_filenames
def get_part_filenames(num_parts=None, start_num=0): """Get numbered PART.html filenames.""" if num_parts is None: num_parts = get_num_part_files() return ['PART{0}.html'.format(i) for i in range(start_num+1, num_parts+1)]
python
def get_part_filenames(num_parts=None, start_num=0): """Get numbered PART.html filenames.""" if num_parts is None: num_parts = get_num_part_files() return ['PART{0}.html'.format(i) for i in range(start_num+1, num_parts+1)]
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train
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huntrar/scrape
scrape/utils.py
read_files
def read_files(filenames): """Read a file into memory.""" if isinstance(filenames, list): for filename in filenames: with open(filename, 'r') as infile: return infile.read() else: with open(filenames, 'r') as infile: return infile.read()
python
def read_files(filenames): """Read a file into memory.""" if isinstance(filenames, list): for filename in filenames: with open(filename, 'r') as infile: return infile.read() else: with open(filenames, 'r') as infile: return infile.read()
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Read a file into memory.
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train
https://github.com/huntrar/scrape/blob/bf877f6da5df3ed0f2bea60a95acf7df63c88002/scrape/utils.py#L781-L789
huntrar/scrape
scrape/utils.py
remove_part_images
def remove_part_images(filename): """Remove PART(#)_files directory containing images from disk.""" dirname = '{0}_files'.format(os.path.splitext(filename)[0]) if os.path.exists(dirname): shutil.rmtree(dirname)
python
def remove_part_images(filename): """Remove PART(#)_files directory containing images from disk.""" dirname = '{0}_files'.format(os.path.splitext(filename)[0]) if os.path.exists(dirname): shutil.rmtree(dirname)
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train
https://github.com/huntrar/scrape/blob/bf877f6da5df3ed0f2bea60a95acf7df63c88002/scrape/utils.py#L792-L796
huntrar/scrape
scrape/utils.py
remove_part_files
def remove_part_files(num_parts=None): """Remove PART(#).html files and image directories from disk.""" filenames = get_part_filenames(num_parts) for filename in filenames: remove_part_images(filename) remove_file(filename)
python
def remove_part_files(num_parts=None): """Remove PART(#).html files and image directories from disk.""" filenames = get_part_filenames(num_parts) for filename in filenames: remove_part_images(filename) remove_file(filename)
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Remove PART(#).html files and image directories from disk.
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train
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huntrar/scrape
scrape/utils.py
confirm_input
def confirm_input(user_input): """Check user input for yes, no, or an exit signal.""" if isinstance(user_input, list): user_input = ''.join(user_input) try: u_inp = user_input.lower().strip() except AttributeError: u_inp = user_input # Check for exit signal if u_inp in ('q', 'quit', 'exit'): sys.exit() if u_inp in ('y', 'yes'): return True return False
python
def confirm_input(user_input): """Check user input for yes, no, or an exit signal.""" if isinstance(user_input, list): user_input = ''.join(user_input) try: u_inp = user_input.lower().strip() except AttributeError: u_inp = user_input # Check for exit signal if u_inp in ('q', 'quit', 'exit'): sys.exit() if u_inp in ('y', 'yes'): return True return False
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Check user input for yes, no, or an exit signal.
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huntrar/scrape
scrape/utils.py
mkdir_and_cd
def mkdir_and_cd(dirname): """Change directory and/or create it if necessary.""" if not os.path.exists(dirname): os.makedirs(dirname) os.chdir(dirname) else: os.chdir(dirname)
python
def mkdir_and_cd(dirname): """Change directory and/or create it if necessary.""" if not os.path.exists(dirname): os.makedirs(dirname) os.chdir(dirname) else: os.chdir(dirname)
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train
https://github.com/huntrar/scrape/blob/bf877f6da5df3ed0f2bea60a95acf7df63c88002/scrape/utils.py#L831-L837
patrickfuller/imolecule
imolecule/format_converter.py
convert
def convert(data, in_format, out_format, name=None, pretty=False): """Converts between two inputted chemical formats. Args: data: A string representing the chemical file to be converted. If the `in_format` is "json", this can also be a Python object in_format: The format of the `data` string. Can be "json" or any format recognized by Open Babel out_format: The format to convert to. Can be "json" or any format recognized by Open Babel name: (Optional) If `out_format` is "json", will save the specified value in a "name" property pretty: (Optional) If True and `out_format` is "json", will pretty- print the output for human readability Returns: A string representing the inputted `data` in the specified `out_format` """ # Decide on a json formatter depending on desired prettiness dumps = json.dumps if pretty else json.compress # Shortcut for avoiding pybel dependency if not has_ob and in_format == 'json' and out_format == 'json': return dumps(json.loads(data) if is_string(data) else data) elif not has_ob: raise ImportError("Chemical file format conversion requires pybel.") # These use the open babel library to interconvert, with additions for json if in_format == 'json': mol = json_to_pybel(json.loads(data) if is_string(data) else data) elif in_format == 'pybel': mol = data else: mol = pybel.readstring(in_format, data) # Infer structure in cases where the input format has no specification if not mol.OBMol.HasNonZeroCoords(): mol.make3D() # Make P1 if that's a thing, recalculating bonds in process if in_format == 'mmcif' and hasattr(mol, 'unitcell'): mol.unitcell.FillUnitCell(mol.OBMol) mol.OBMol.ConnectTheDots() mol.OBMol.PerceiveBondOrders() mol.OBMol.Center() if out_format == 'pybel': return mol elif out_format == 'object': return pybel_to_json(mol, name) elif out_format == 'json': return dumps(pybel_to_json(mol, name)) else: return mol.write(out_format)
python
def convert(data, in_format, out_format, name=None, pretty=False): """Converts between two inputted chemical formats. Args: data: A string representing the chemical file to be converted. If the `in_format` is "json", this can also be a Python object in_format: The format of the `data` string. Can be "json" or any format recognized by Open Babel out_format: The format to convert to. Can be "json" or any format recognized by Open Babel name: (Optional) If `out_format` is "json", will save the specified value in a "name" property pretty: (Optional) If True and `out_format` is "json", will pretty- print the output for human readability Returns: A string representing the inputted `data` in the specified `out_format` """ # Decide on a json formatter depending on desired prettiness dumps = json.dumps if pretty else json.compress # Shortcut for avoiding pybel dependency if not has_ob and in_format == 'json' and out_format == 'json': return dumps(json.loads(data) if is_string(data) else data) elif not has_ob: raise ImportError("Chemical file format conversion requires pybel.") # These use the open babel library to interconvert, with additions for json if in_format == 'json': mol = json_to_pybel(json.loads(data) if is_string(data) else data) elif in_format == 'pybel': mol = data else: mol = pybel.readstring(in_format, data) # Infer structure in cases where the input format has no specification if not mol.OBMol.HasNonZeroCoords(): mol.make3D() # Make P1 if that's a thing, recalculating bonds in process if in_format == 'mmcif' and hasattr(mol, 'unitcell'): mol.unitcell.FillUnitCell(mol.OBMol) mol.OBMol.ConnectTheDots() mol.OBMol.PerceiveBondOrders() mol.OBMol.Center() if out_format == 'pybel': return mol elif out_format == 'object': return pybel_to_json(mol, name) elif out_format == 'json': return dumps(pybel_to_json(mol, name)) else: return mol.write(out_format)
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train
https://github.com/patrickfuller/imolecule/blob/07e91600c805123935a78782871414754bd3696d/imolecule/format_converter.py#L19-L72
patrickfuller/imolecule
imolecule/format_converter.py
json_to_pybel
def json_to_pybel(data, infer_bonds=False): """Converts python data structure to pybel.Molecule. This will infer bond data if not specified. Args: data: The loaded json data of a molecule, as a Python object infer_bonds (Optional): If no bonds specified in input, infer them Returns: An instance of `pybel.Molecule` """ obmol = ob.OBMol() obmol.BeginModify() for atom in data['atoms']: obatom = obmol.NewAtom() obatom.SetAtomicNum(table.GetAtomicNum(str(atom['element']))) obatom.SetVector(*atom['location']) if 'label' in atom: pd = ob.OBPairData() pd.SetAttribute('_atom_site_label') pd.SetValue(atom['label']) obatom.CloneData(pd) # If there is no bond data, try to infer them if 'bonds' not in data or not data['bonds']: if infer_bonds: obmol.ConnectTheDots() obmol.PerceiveBondOrders() # Otherwise, use the bonds in the data set else: for bond in data['bonds']: if 'atoms' not in bond: continue obmol.AddBond(bond['atoms'][0] + 1, bond['atoms'][1] + 1, bond['order']) # Check for unit cell data if 'unitcell' in data: uc = ob.OBUnitCell() uc.SetData(*(ob.vector3(*v) for v in data['unitcell'])) uc.SetSpaceGroup('P1') obmol.CloneData(uc) obmol.EndModify() mol = pybel.Molecule(obmol) # Add partial charges if 'charge' in data['atoms'][0]: mol.OBMol.SetPartialChargesPerceived() for atom, pyatom in zip(data['atoms'], mol.atoms): pyatom.OBAtom.SetPartialCharge(atom['charge']) return mol
python
def json_to_pybel(data, infer_bonds=False): """Converts python data structure to pybel.Molecule. This will infer bond data if not specified. Args: data: The loaded json data of a molecule, as a Python object infer_bonds (Optional): If no bonds specified in input, infer them Returns: An instance of `pybel.Molecule` """ obmol = ob.OBMol() obmol.BeginModify() for atom in data['atoms']: obatom = obmol.NewAtom() obatom.SetAtomicNum(table.GetAtomicNum(str(atom['element']))) obatom.SetVector(*atom['location']) if 'label' in atom: pd = ob.OBPairData() pd.SetAttribute('_atom_site_label') pd.SetValue(atom['label']) obatom.CloneData(pd) # If there is no bond data, try to infer them if 'bonds' not in data or not data['bonds']: if infer_bonds: obmol.ConnectTheDots() obmol.PerceiveBondOrders() # Otherwise, use the bonds in the data set else: for bond in data['bonds']: if 'atoms' not in bond: continue obmol.AddBond(bond['atoms'][0] + 1, bond['atoms'][1] + 1, bond['order']) # Check for unit cell data if 'unitcell' in data: uc = ob.OBUnitCell() uc.SetData(*(ob.vector3(*v) for v in data['unitcell'])) uc.SetSpaceGroup('P1') obmol.CloneData(uc) obmol.EndModify() mol = pybel.Molecule(obmol) # Add partial charges if 'charge' in data['atoms'][0]: mol.OBMol.SetPartialChargesPerceived() for atom, pyatom in zip(data['atoms'], mol.atoms): pyatom.OBAtom.SetPartialCharge(atom['charge']) return mol
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Converts python data structure to pybel.Molecule. This will infer bond data if not specified. Args: data: The loaded json data of a molecule, as a Python object infer_bonds (Optional): If no bonds specified in input, infer them Returns: An instance of `pybel.Molecule`
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train
https://github.com/patrickfuller/imolecule/blob/07e91600c805123935a78782871414754bd3696d/imolecule/format_converter.py#L75-L127
patrickfuller/imolecule
imolecule/format_converter.py
pybel_to_json
def pybel_to_json(molecule, name=None): """Converts a pybel molecule to json. Args: molecule: An instance of `pybel.Molecule` name: (Optional) If specified, will save a "name" property Returns: A Python dictionary containing atom and bond data """ # Save atom element type and 3D location. atoms = [{'element': table.GetSymbol(atom.atomicnum), 'location': list(atom.coords)} for atom in molecule.atoms] # Recover auxiliary data, if exists for json_atom, pybel_atom in zip(atoms, molecule.atoms): if pybel_atom.partialcharge != 0: json_atom['charge'] = pybel_atom.partialcharge if pybel_atom.OBAtom.HasData('_atom_site_label'): obatom = pybel_atom.OBAtom json_atom['label'] = obatom.GetData('_atom_site_label').GetValue() if pybel_atom.OBAtom.HasData('color'): obatom = pybel_atom.OBAtom json_atom['color'] = obatom.GetData('color').GetValue() # Save number of bonds and indices of endpoint atoms bonds = [{'atoms': [b.GetBeginAtom().GetIndex(), b.GetEndAtom().GetIndex()], 'order': b.GetBondOrder()} for b in ob.OBMolBondIter(molecule.OBMol)] output = {'atoms': atoms, 'bonds': bonds, 'units': {}} # If there's unit cell data, save it to the json output if hasattr(molecule, 'unitcell'): uc = molecule.unitcell output['unitcell'] = [[v.GetX(), v.GetY(), v.GetZ()] for v in uc.GetCellVectors()] density = (sum(atom.atomicmass for atom in molecule.atoms) / (uc.GetCellVolume() * 0.6022)) output['density'] = density output['units']['density'] = 'kg / L' # Save the formula to json. Use Hill notation, just to have a standard. element_count = Counter(table.GetSymbol(a.atomicnum) for a in molecule) hill_count = [] for element in ['C', 'H']: if element in element_count: hill_count += [(element, element_count[element])] del element_count[element] hill_count += sorted(element_count.items()) # If it's a crystal, then reduce the Hill formula div = (reduce(gcd, (c[1] for c in hill_count)) if hasattr(molecule, 'unitcell') else 1) output['formula'] = ''.join(n if c / div == 1 else '%s%d' % (n, c / div) for n, c in hill_count) output['molecular_weight'] = molecule.molwt / div output['units']['molecular_weight'] = 'g / mol' # If the input has been given a name, add that if name: output['name'] = name return output
python
def pybel_to_json(molecule, name=None): """Converts a pybel molecule to json. Args: molecule: An instance of `pybel.Molecule` name: (Optional) If specified, will save a "name" property Returns: A Python dictionary containing atom and bond data """ # Save atom element type and 3D location. atoms = [{'element': table.GetSymbol(atom.atomicnum), 'location': list(atom.coords)} for atom in molecule.atoms] # Recover auxiliary data, if exists for json_atom, pybel_atom in zip(atoms, molecule.atoms): if pybel_atom.partialcharge != 0: json_atom['charge'] = pybel_atom.partialcharge if pybel_atom.OBAtom.HasData('_atom_site_label'): obatom = pybel_atom.OBAtom json_atom['label'] = obatom.GetData('_atom_site_label').GetValue() if pybel_atom.OBAtom.HasData('color'): obatom = pybel_atom.OBAtom json_atom['color'] = obatom.GetData('color').GetValue() # Save number of bonds and indices of endpoint atoms bonds = [{'atoms': [b.GetBeginAtom().GetIndex(), b.GetEndAtom().GetIndex()], 'order': b.GetBondOrder()} for b in ob.OBMolBondIter(molecule.OBMol)] output = {'atoms': atoms, 'bonds': bonds, 'units': {}} # If there's unit cell data, save it to the json output if hasattr(molecule, 'unitcell'): uc = molecule.unitcell output['unitcell'] = [[v.GetX(), v.GetY(), v.GetZ()] for v in uc.GetCellVectors()] density = (sum(atom.atomicmass for atom in molecule.atoms) / (uc.GetCellVolume() * 0.6022)) output['density'] = density output['units']['density'] = 'kg / L' # Save the formula to json. Use Hill notation, just to have a standard. element_count = Counter(table.GetSymbol(a.atomicnum) for a in molecule) hill_count = [] for element in ['C', 'H']: if element in element_count: hill_count += [(element, element_count[element])] del element_count[element] hill_count += sorted(element_count.items()) # If it's a crystal, then reduce the Hill formula div = (reduce(gcd, (c[1] for c in hill_count)) if hasattr(molecule, 'unitcell') else 1) output['formula'] = ''.join(n if c / div == 1 else '%s%d' % (n, c / div) for n, c in hill_count) output['molecular_weight'] = molecule.molwt / div output['units']['molecular_weight'] = 'g / mol' # If the input has been given a name, add that if name: output['name'] = name return output
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train
https://github.com/patrickfuller/imolecule/blob/07e91600c805123935a78782871414754bd3696d/imolecule/format_converter.py#L130-L193
patrickfuller/imolecule
imolecule/json_formatter.py
CustomEncoder.default
def default(self, obj): """Fired when an unserializable object is hit.""" if hasattr(obj, '__dict__'): return obj.__dict__.copy() elif HAS_NUMPY and isinstance(obj, np.ndarray): return obj.copy().tolist() else: raise TypeError(("Object of type {:s} with value of {:s} is not " "JSON serializable").format(type(obj), repr(obj)))
python
def default(self, obj): """Fired when an unserializable object is hit.""" if hasattr(obj, '__dict__'): return obj.__dict__.copy() elif HAS_NUMPY and isinstance(obj, np.ndarray): return obj.copy().tolist() else: raise TypeError(("Object of type {:s} with value of {:s} is not " "JSON serializable").format(type(obj), repr(obj)))
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train
https://github.com/patrickfuller/imolecule/blob/07e91600c805123935a78782871414754bd3696d/imolecule/json_formatter.py#L37-L45
patrickfuller/imolecule
imolecule/notebook.py
draw
def draw(data, format='auto', size=(400, 300), drawing_type='ball and stick', camera_type='perspective', shader='lambert', display_html=True, element_properties=None, show_save=False): """Draws an interactive 3D visualization of the inputted chemical. Args: data: A string or file representing a chemical. format: The format of the `data` variable (default is 'auto'). size: Starting dimensions of visualization, in pixels. drawing_type: Specifies the molecular representation. Can be 'ball and stick', 'wireframe', or 'space filling'. camera_type: Can be 'perspective' or 'orthographic'. shader: Specifies shading algorithm to use. Can be 'toon', 'basic', 'phong', or 'lambert'. display_html: If True (default), embed the html in a IPython display. If False, return the html as a string. element_properites: A dictionary providing color and radius information for custom elements or overriding the defaults in imolecule.js show_save: If True, displays a save icon for rendering molecule as an image. The `format` can be any value specified by Open Babel (http://openbabel.org/docs/2.3.1/FileFormats/Overview.html). The 'auto' option uses the extension for files (ie. my_file.mol -> mol) and defaults to SMILES (smi) for strings. """ # Catch errors on string-based input before getting js involved draw_options = ['ball and stick', 'wireframe', 'space filling'] camera_options = ['perspective', 'orthographic'] shader_options = ['toon', 'basic', 'phong', 'lambert'] if drawing_type not in draw_options: raise Exception("Invalid drawing type! Please use one of: " + ", ".join(draw_options)) if camera_type not in camera_options: raise Exception("Invalid camera type! Please use one of: " + ", ".join(camera_options)) if shader not in shader_options: raise Exception("Invalid shader! Please use one of: " + ", ".join(shader_options)) json_mol = generate(data, format) if element_properties is None: element_properties = dict() json_element_properties = to_json(element_properties) div_id = uuid.uuid4() html = """<div id="molecule_%s"></div> <script type="text/javascript"> require.config({baseUrl: '/', paths: {imolecule: ['%s', '%s']}}); require(['imolecule'], function () { var $d = $('#molecule_%s'); $d.width(%d); $d.height(%d); $d.imolecule = jQuery.extend({}, imolecule); $d.imolecule.create($d, {drawingType: '%s', cameraType: '%s', shader: '%s', showSave: %s}); $d.imolecule.addElements(%s); $d.imolecule.draw(%s); $d.resizable({ aspectRatio: %d / %d, resize: function (evt, ui) { $d.imolecule.renderer.setSize(ui.size.width, ui.size.height); } }); }); </script>""" % (div_id, local_path[:-3], remote_path[:-3], div_id, size[0], size[1], drawing_type, camera_type, shader, 'true' if show_save else 'false', json_element_properties, json_mol, size[0], size[1]) # Execute js and display the results in a div (see script for more) if display_html: try: __IPYTHON__ except NameError: # We're running outside ipython, let's generate a static HTML and # show it in the browser import shutil import webbrowser from tempfile import mkdtemp from time import time try: # Python 3 from urllib.parse import urljoin from urllib.request import pathname2url except ImportError: # Python 2 from urlparse import urljoin from urllib import pathname2url from tornado import template t = template.Loader(file_path).load('viewer.template') html = t.generate(title="imolecule", json_mol=json_mol, drawing_type=drawing_type, shader=shader, camera_type=camera_type, json_element_properties=json_element_properties) tempdir = mkdtemp(prefix='imolecule_{:.0f}_'.format(time())) html_filename = os.path.join(tempdir, 'index.html') with open(html_filename, 'wb') as f: f.write(html) libs = (('server', 'css', 'chosen.css'), ('server', 'css', 'server.css'), ('js', 'jquery-1.11.1.min.js'), ('server', 'js', 'chosen.jquery.min.js'), ('js', 'build', 'imolecule.min.js')) for lib in libs: shutil.copy(os.path.join(file_path, *lib), tempdir) html_file_url = urljoin('file:', pathname2url(html_filename)) print('Opening html file: {}'.format(html_file_url)) webbrowser.open(html_file_url) else: # We're running in ipython: display widget display(HTML(html)) else: return html
python
def draw(data, format='auto', size=(400, 300), drawing_type='ball and stick', camera_type='perspective', shader='lambert', display_html=True, element_properties=None, show_save=False): """Draws an interactive 3D visualization of the inputted chemical. Args: data: A string or file representing a chemical. format: The format of the `data` variable (default is 'auto'). size: Starting dimensions of visualization, in pixels. drawing_type: Specifies the molecular representation. Can be 'ball and stick', 'wireframe', or 'space filling'. camera_type: Can be 'perspective' or 'orthographic'. shader: Specifies shading algorithm to use. Can be 'toon', 'basic', 'phong', or 'lambert'. display_html: If True (default), embed the html in a IPython display. If False, return the html as a string. element_properites: A dictionary providing color and radius information for custom elements or overriding the defaults in imolecule.js show_save: If True, displays a save icon for rendering molecule as an image. The `format` can be any value specified by Open Babel (http://openbabel.org/docs/2.3.1/FileFormats/Overview.html). The 'auto' option uses the extension for files (ie. my_file.mol -> mol) and defaults to SMILES (smi) for strings. """ # Catch errors on string-based input before getting js involved draw_options = ['ball and stick', 'wireframe', 'space filling'] camera_options = ['perspective', 'orthographic'] shader_options = ['toon', 'basic', 'phong', 'lambert'] if drawing_type not in draw_options: raise Exception("Invalid drawing type! Please use one of: " + ", ".join(draw_options)) if camera_type not in camera_options: raise Exception("Invalid camera type! Please use one of: " + ", ".join(camera_options)) if shader not in shader_options: raise Exception("Invalid shader! Please use one of: " + ", ".join(shader_options)) json_mol = generate(data, format) if element_properties is None: element_properties = dict() json_element_properties = to_json(element_properties) div_id = uuid.uuid4() html = """<div id="molecule_%s"></div> <script type="text/javascript"> require.config({baseUrl: '/', paths: {imolecule: ['%s', '%s']}}); require(['imolecule'], function () { var $d = $('#molecule_%s'); $d.width(%d); $d.height(%d); $d.imolecule = jQuery.extend({}, imolecule); $d.imolecule.create($d, {drawingType: '%s', cameraType: '%s', shader: '%s', showSave: %s}); $d.imolecule.addElements(%s); $d.imolecule.draw(%s); $d.resizable({ aspectRatio: %d / %d, resize: function (evt, ui) { $d.imolecule.renderer.setSize(ui.size.width, ui.size.height); } }); }); </script>""" % (div_id, local_path[:-3], remote_path[:-3], div_id, size[0], size[1], drawing_type, camera_type, shader, 'true' if show_save else 'false', json_element_properties, json_mol, size[0], size[1]) # Execute js and display the results in a div (see script for more) if display_html: try: __IPYTHON__ except NameError: # We're running outside ipython, let's generate a static HTML and # show it in the browser import shutil import webbrowser from tempfile import mkdtemp from time import time try: # Python 3 from urllib.parse import urljoin from urllib.request import pathname2url except ImportError: # Python 2 from urlparse import urljoin from urllib import pathname2url from tornado import template t = template.Loader(file_path).load('viewer.template') html = t.generate(title="imolecule", json_mol=json_mol, drawing_type=drawing_type, shader=shader, camera_type=camera_type, json_element_properties=json_element_properties) tempdir = mkdtemp(prefix='imolecule_{:.0f}_'.format(time())) html_filename = os.path.join(tempdir, 'index.html') with open(html_filename, 'wb') as f: f.write(html) libs = (('server', 'css', 'chosen.css'), ('server', 'css', 'server.css'), ('js', 'jquery-1.11.1.min.js'), ('server', 'js', 'chosen.jquery.min.js'), ('js', 'build', 'imolecule.min.js')) for lib in libs: shutil.copy(os.path.join(file_path, *lib), tempdir) html_file_url = urljoin('file:', pathname2url(html_filename)) print('Opening html file: {}'.format(html_file_url)) webbrowser.open(html_file_url) else: # We're running in ipython: display widget display(HTML(html)) else: return html
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Draws an interactive 3D visualization of the inputted chemical. Args: data: A string or file representing a chemical. format: The format of the `data` variable (default is 'auto'). size: Starting dimensions of visualization, in pixels. drawing_type: Specifies the molecular representation. Can be 'ball and stick', 'wireframe', or 'space filling'. camera_type: Can be 'perspective' or 'orthographic'. shader: Specifies shading algorithm to use. Can be 'toon', 'basic', 'phong', or 'lambert'. display_html: If True (default), embed the html in a IPython display. If False, return the html as a string. element_properites: A dictionary providing color and radius information for custom elements or overriding the defaults in imolecule.js show_save: If True, displays a save icon for rendering molecule as an image. The `format` can be any value specified by Open Babel (http://openbabel.org/docs/2.3.1/FileFormats/Overview.html). The 'auto' option uses the extension for files (ie. my_file.mol -> mol) and defaults to SMILES (smi) for strings.
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train
https://github.com/patrickfuller/imolecule/blob/07e91600c805123935a78782871414754bd3696d/imolecule/notebook.py#L30-L152
patrickfuller/imolecule
imolecule/notebook.py
generate
def generate(data, format="auto"): """Converts input chemical formats to json and optimizes structure. Args: data: A string or file representing a chemical format: The format of the `data` variable (default is 'auto') The `format` can be any value specified by Open Babel (http://openbabel.org/docs/2.3.1/FileFormats/Overview.html). The 'auto' option uses the extension for files (ie. my_file.mol -> mol) and defaults to SMILES (smi) for strings. """ # Support both files and strings and attempt to infer file type try: with open(data) as in_file: if format == 'auto': format = data.split('.')[-1] data = in_file.read() except: if format == 'auto': format = 'smi' return format_converter.convert(data, format, 'json')
python
def generate(data, format="auto"): """Converts input chemical formats to json and optimizes structure. Args: data: A string or file representing a chemical format: The format of the `data` variable (default is 'auto') The `format` can be any value specified by Open Babel (http://openbabel.org/docs/2.3.1/FileFormats/Overview.html). The 'auto' option uses the extension for files (ie. my_file.mol -> mol) and defaults to SMILES (smi) for strings. """ # Support both files and strings and attempt to infer file type try: with open(data) as in_file: if format == 'auto': format = data.split('.')[-1] data = in_file.read() except: if format == 'auto': format = 'smi' return format_converter.convert(data, format, 'json')
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Converts input chemical formats to json and optimizes structure. Args: data: A string or file representing a chemical format: The format of the `data` variable (default is 'auto') The `format` can be any value specified by Open Babel (http://openbabel.org/docs/2.3.1/FileFormats/Overview.html). The 'auto' option uses the extension for files (ie. my_file.mol -> mol) and defaults to SMILES (smi) for strings.
[ "Converts", "input", "chemical", "formats", "to", "json", "and", "optimizes", "structure", "." ]
train
https://github.com/patrickfuller/imolecule/blob/07e91600c805123935a78782871414754bd3696d/imolecule/notebook.py#L155-L176
patrickfuller/imolecule
imolecule/notebook.py
to_json
def to_json(data, compress=False): """Converts the output of `generate(...)` to formatted json. Floats are rounded to three decimals and positional vectors are printed on one line with some whitespace buffer. """ return json.compress(data) if compress else json.dumps(data)
python
def to_json(data, compress=False): """Converts the output of `generate(...)` to formatted json. Floats are rounded to three decimals and positional vectors are printed on one line with some whitespace buffer. """ return json.compress(data) if compress else json.dumps(data)
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Converts the output of `generate(...)` to formatted json. Floats are rounded to three decimals and positional vectors are printed on one line with some whitespace buffer.
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train
https://github.com/patrickfuller/imolecule/blob/07e91600c805123935a78782871414754bd3696d/imolecule/notebook.py#L179-L185
patrickfuller/imolecule
imolecule/server/server.py
start_server
def start_server(): """Starts up the imolecule server, complete with argparse handling.""" parser = argparse.ArgumentParser(description="Opens a browser-based " "client that interfaces with the " "chemical format converter.") parser.add_argument('--debug', action="store_true", help="Prints all " "transmitted data streams.") parser.add_argument('--port', type=int, default=8000, help="The port " "on which to serve the website.") parser.add_argument('--timeout', type=int, default=5, help="The maximum " "time, in seconds, allowed for a process to run " "before returning an error.") parser.add_argument('--workers', type=int, default=2, help="The number of " "worker processes to use with the server.") parser.add_argument('--no-browser', action="store_true", help="Disables " "opening a browser window on startup.") global args args = parser.parse_args() if args.debug: logging.getLogger().setLevel(logging.DEBUG) handlers = [(r'/', IndexHandler), (r'/websocket', WebSocket), (r'/static/(.*)', tornado.web.StaticFileHandler, {'path': os.path.normpath(os.path.dirname(__file__))})] application = tornado.web.Application(handlers) application.listen(args.port) if not args.no_browser: webbrowser.open('http://localhost:%d/' % args.port, new=2) try: tornado.ioloop.IOLoop.instance().start() except KeyboardInterrupt: sys.stderr.write("Received keyboard interrupt. Stopping server.\n") tornado.ioloop.IOLoop.instance().stop() sys.exit(1)
python
def start_server(): """Starts up the imolecule server, complete with argparse handling.""" parser = argparse.ArgumentParser(description="Opens a browser-based " "client that interfaces with the " "chemical format converter.") parser.add_argument('--debug', action="store_true", help="Prints all " "transmitted data streams.") parser.add_argument('--port', type=int, default=8000, help="The port " "on which to serve the website.") parser.add_argument('--timeout', type=int, default=5, help="The maximum " "time, in seconds, allowed for a process to run " "before returning an error.") parser.add_argument('--workers', type=int, default=2, help="The number of " "worker processes to use with the server.") parser.add_argument('--no-browser', action="store_true", help="Disables " "opening a browser window on startup.") global args args = parser.parse_args() if args.debug: logging.getLogger().setLevel(logging.DEBUG) handlers = [(r'/', IndexHandler), (r'/websocket', WebSocket), (r'/static/(.*)', tornado.web.StaticFileHandler, {'path': os.path.normpath(os.path.dirname(__file__))})] application = tornado.web.Application(handlers) application.listen(args.port) if not args.no_browser: webbrowser.open('http://localhost:%d/' % args.port, new=2) try: tornado.ioloop.IOLoop.instance().start() except KeyboardInterrupt: sys.stderr.write("Received keyboard interrupt. Stopping server.\n") tornado.ioloop.IOLoop.instance().stop() sys.exit(1)
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Starts up the imolecule server, complete with argparse handling.
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train
https://github.com/patrickfuller/imolecule/blob/07e91600c805123935a78782871414754bd3696d/imolecule/server/server.py#L69-L105
patrickfuller/imolecule
imolecule/server/server.py
WebSocket.on_message
def on_message(self, message): """Evaluates the function pointed to by json-rpc.""" json_rpc = json.loads(message) logging.log(logging.DEBUG, json_rpc) if self.pool is None: self.pool = multiprocessing.Pool(processes=args.workers) # Spawn a process to protect the server against segfaults async = self.pool.apply_async(_worker_process, [json_rpc]) try: result = async.get(timeout=args.timeout) error = 0 except multiprocessing.TimeoutError: result = ("File format conversion timed out! This is due " "either to a large input file or a segmentation " "fault in the underlying open babel library.") error = 1 self.pool.terminate() self.pool = multiprocessing.Pool(processes=args.workers) except Exception: result = traceback.format_exc() error = 1 logging.log(logging.DEBUG, result) self.write_message(json.dumps({'result': result, 'error': error, 'id': json_rpc['id']}, separators=(',', ':')))
python
def on_message(self, message): """Evaluates the function pointed to by json-rpc.""" json_rpc = json.loads(message) logging.log(logging.DEBUG, json_rpc) if self.pool is None: self.pool = multiprocessing.Pool(processes=args.workers) # Spawn a process to protect the server against segfaults async = self.pool.apply_async(_worker_process, [json_rpc]) try: result = async.get(timeout=args.timeout) error = 0 except multiprocessing.TimeoutError: result = ("File format conversion timed out! This is due " "either to a large input file or a segmentation " "fault in the underlying open babel library.") error = 1 self.pool.terminate() self.pool = multiprocessing.Pool(processes=args.workers) except Exception: result = traceback.format_exc() error = 1 logging.log(logging.DEBUG, result) self.write_message(json.dumps({'result': result, 'error': error, 'id': json_rpc['id']}, separators=(',', ':')))
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Evaluates the function pointed to by json-rpc.
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train
https://github.com/patrickfuller/imolecule/blob/07e91600c805123935a78782871414754bd3696d/imolecule/server/server.py#L39-L66
JnyJny/Geometry
Geometry/constants.py
nearly_eq
def nearly_eq(valA, valB, maxf=None, minf=None, epsilon=None): ''' implementation based on: http://floating-point-gui.de/errors/comparison/ ''' if valA == valB: return True if maxf is None: maxf = float_info.max if minf is None: minf = float_info.min if epsilon is None: epsilon = float_info.epsilon absA = abs(valA) absB = abs(valB) delta = abs(valA - valB) if (valA == 0) or (valB == 0) or (delta < minf): return delta < (epsilon * minf) return (delta / min(absA + absB, maxf)) < (epsilon * 2)
python
def nearly_eq(valA, valB, maxf=None, minf=None, epsilon=None): ''' implementation based on: http://floating-point-gui.de/errors/comparison/ ''' if valA == valB: return True if maxf is None: maxf = float_info.max if minf is None: minf = float_info.min if epsilon is None: epsilon = float_info.epsilon absA = abs(valA) absB = abs(valB) delta = abs(valA - valB) if (valA == 0) or (valB == 0) or (delta < minf): return delta < (epsilon * minf) return (delta / min(absA + absB, maxf)) < (epsilon * 2)
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JnyJny/Geometry
Geometry/point.py
Point._convert
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python
def _convert(cls, other, ignoreScalars=False): ''' :other: Point or point equivalent :ignorescalars: optional boolean :return: Point Class private method for converting 'other' into a Point subclasss. If 'other' already is a Point subclass, nothing is done. If ignoreScalars is True and other is a float or int type, a TypeError exception is raised. ''' if ignoreScalars: if isinstance(other, (int, float)): msg = "unable to convert {} to {}".format(other, cls.__name__) raise TypeError(msg) return cls(other) if not issubclass(type(other), cls) else other
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https://github.com/JnyJny/Geometry/blob/3500f815fa56c535b36d1b6fd0afe69ce5d055be/Geometry/point.py#L115-L131
JnyJny/Geometry
Geometry/point.py
Point.units
def units(cls, scale=1): ''' :scale: optional integer scaling factor :return: list of three Point subclass Returns three points whose coordinates are the head of a unit vector from the origin ( conventionally i, j and k). ''' return [cls(x=scale), cls(y=scale), cls(z=scale)]
python
def units(cls, scale=1): ''' :scale: optional integer scaling factor :return: list of three Point subclass Returns three points whose coordinates are the head of a unit vector from the origin ( conventionally i, j and k). ''' return [cls(x=scale), cls(y=scale), cls(z=scale)]
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:scale: optional integer scaling factor :return: list of three Point subclass Returns three points whose coordinates are the head of a unit vector from the origin ( conventionally i, j and k).
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https://github.com/JnyJny/Geometry/blob/3500f815fa56c535b36d1b6fd0afe69ce5d055be/Geometry/point.py#L148-L157
JnyJny/Geometry
Geometry/point.py
Point.gaussian
def gaussian(cls, mu=0, sigma=1): ''' :mu: mean :sigma: standard deviation :return: Point subclass Returns a point whose coordinates are picked from a Gaussian distribution with mean 'mu' and standard deviation 'sigma'. See random.gauss for further explanation of those parameters. ''' return cls(random.gauss(mu, sigma), random.gauss(mu, sigma), random.gauss(mu, sigma))
python
def gaussian(cls, mu=0, sigma=1): ''' :mu: mean :sigma: standard deviation :return: Point subclass Returns a point whose coordinates are picked from a Gaussian distribution with mean 'mu' and standard deviation 'sigma'. See random.gauss for further explanation of those parameters. ''' return cls(random.gauss(mu, sigma), random.gauss(mu, sigma), random.gauss(mu, sigma))
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https://github.com/JnyJny/Geometry/blob/3500f815fa56c535b36d1b6fd0afe69ce5d055be/Geometry/point.py#L160-L172
JnyJny/Geometry
Geometry/point.py
Point.random
def random(cls, origin=None, radius=1): ''' :origin: optional Point or point equivalent :radius: optional float, radius around origin :return: Point subclass Returns a point with random x, y and z coordinates bounded by the sphere defined by (origin,radius). If a sphere is not supplied, a unit sphere at the origin is used by default. ''' p = cls(origin) r = random.uniform(0, radius) u = random.uniform(0, Two_Pi) v = random.uniform(-Half_Pi, Half_Pi) r_cosv = r * math.cos(v) p.x += r_cosv * math.cos(u) p.y += r_cosv * math.sin(u) p.z += radius * math.sin(v) return p
python
def random(cls, origin=None, radius=1): ''' :origin: optional Point or point equivalent :radius: optional float, radius around origin :return: Point subclass Returns a point with random x, y and z coordinates bounded by the sphere defined by (origin,radius). If a sphere is not supplied, a unit sphere at the origin is used by default. ''' p = cls(origin) r = random.uniform(0, radius) u = random.uniform(0, Two_Pi) v = random.uniform(-Half_Pi, Half_Pi) r_cosv = r * math.cos(v) p.x += r_cosv * math.cos(u) p.y += r_cosv * math.sin(u) p.z += radius * math.sin(v) return p
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JnyJny/Geometry
Geometry/point.py
Point._binary_
def _binary_(self, other, func, inplace=False): ''' :other: Point or point equivalent :func: binary function to apply :inplace: optional boolean :return: Point Implementation private method. All of the binary operations funnel thru this method to reduce cut-and-paste code and enforce consistent behavior of binary ops. Applies 'func' to 'self' and 'other' and returns the result. If 'inplace' is True the results of will be stored in 'self', otherwise the results will be stored in a new object. Returns a Point. ''' dst = self if inplace else self.__class__(self) try: b = self.__class__._convert(other, ignoreScalars=True) dst.x = func(dst.x, b.x) dst.y = func(dst.y, b.y) dst.z = func(dst.z, b.z) return dst except TypeError: pass dst.x = func(dst.x, other) dst.y = func(dst.y, other) dst.z = func(dst.z, other) return dst
python
def _binary_(self, other, func, inplace=False): ''' :other: Point or point equivalent :func: binary function to apply :inplace: optional boolean :return: Point Implementation private method. All of the binary operations funnel thru this method to reduce cut-and-paste code and enforce consistent behavior of binary ops. Applies 'func' to 'self' and 'other' and returns the result. If 'inplace' is True the results of will be stored in 'self', otherwise the results will be stored in a new object. Returns a Point. ''' dst = self if inplace else self.__class__(self) try: b = self.__class__._convert(other, ignoreScalars=True) dst.x = func(dst.x, b.x) dst.y = func(dst.y, b.y) dst.z = func(dst.z, b.z) return dst except TypeError: pass dst.x = func(dst.x, other) dst.y = func(dst.y, other) dst.z = func(dst.z, other) return dst
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https://github.com/JnyJny/Geometry/blob/3500f815fa56c535b36d1b6fd0afe69ce5d055be/Geometry/point.py#L466-L502
JnyJny/Geometry
Geometry/point.py
Point._unary_
def _unary_(self, func, inplace=False): ''' :func: unary function to apply to each coordinate :inplace: optional boolean :return: Point Implementation private method. All of the unary operations funnel thru this method to reduce cut-and-paste code and enforce consistent behavior of unary ops. Applies 'func' to self and returns the result. The expected call signature of 'func' is f(a) If 'inplace' is True, the results are stored in 'self', otherwise the results will be stored in a new object. Returns a Point. ''' dst = self if inplace else self.__class__(self) dst.x = func(dst.x) dst.y = func(dst.y) dst.z = func(dst.z) return dst
python
def _unary_(self, func, inplace=False): ''' :func: unary function to apply to each coordinate :inplace: optional boolean :return: Point Implementation private method. All of the unary operations funnel thru this method to reduce cut-and-paste code and enforce consistent behavior of unary ops. Applies 'func' to self and returns the result. The expected call signature of 'func' is f(a) If 'inplace' is True, the results are stored in 'self', otherwise the results will be stored in a new object. Returns a Point. ''' dst = self if inplace else self.__class__(self) dst.x = func(dst.x) dst.y = func(dst.y) dst.z = func(dst.z) return dst
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https://github.com/JnyJny/Geometry/blob/3500f815fa56c535b36d1b6fd0afe69ce5d055be/Geometry/point.py#L504-L530
JnyJny/Geometry
Geometry/point.py
Point.cross
def cross(self, other): ''' :other: Point or point equivalent :return: float Vector cross product of points U (self) and V (other), computed: U x V = (u1*i + u2*j + u3*k) x (v1*i + v2*j + v3*k) s1 = u2v3 - u3v2 s2 = u3v1 - u1v3 s3 = u1v2 - u2v1 U x V = s1 + s2 + s3 Returns a float. ''' b = self.__class__._convert(other) return sum([(self.y * b.z) - (self.z * b.y), (self.z * b.x) - (self.x * b.z), (self.x * b.y) - (self.y * b.x)])
python
def cross(self, other): ''' :other: Point or point equivalent :return: float Vector cross product of points U (self) and V (other), computed: U x V = (u1*i + u2*j + u3*k) x (v1*i + v2*j + v3*k) s1 = u2v3 - u3v2 s2 = u3v1 - u1v3 s3 = u1v2 - u2v1 U x V = s1 + s2 + s3 Returns a float. ''' b = self.__class__._convert(other) return sum([(self.y * b.z) - (self.z * b.y), (self.z * b.x) - (self.x * b.z), (self.x * b.y) - (self.y * b.x)])
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JnyJny/Geometry
Geometry/point.py
Point.isBetween
def isBetween(self, a, b, axes='xyz'): ''' :a: Point or point equivalent :b: Point or point equivalent :axis: optional string :return: float Checks the coordinates specified in 'axes' of 'self' to determine if they are bounded by 'a' and 'b'. The range is inclusive of end-points. Returns boolean. ''' a = self.__class__._convert(a) b = self.__class__._convert(b) fn = lambda k: (self[k] >= min(a[k], b[k])) and ( self[k] <= max(a[k], b[k])) return all(fn(axis) for axis in axes)
python
def isBetween(self, a, b, axes='xyz'): ''' :a: Point or point equivalent :b: Point or point equivalent :axis: optional string :return: float Checks the coordinates specified in 'axes' of 'self' to determine if they are bounded by 'a' and 'b'. The range is inclusive of end-points. Returns boolean. ''' a = self.__class__._convert(a) b = self.__class__._convert(b) fn = lambda k: (self[k] >= min(a[k], b[k])) and ( self[k] <= max(a[k], b[k])) return all(fn(axis) for axis in axes)
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https://github.com/JnyJny/Geometry/blob/3500f815fa56c535b36d1b6fd0afe69ce5d055be/Geometry/point.py#L1302-L1321
JnyJny/Geometry
Geometry/point.py
Point.ccw
def ccw(self, b, c, axis='z'): ''' :b: Point or point equivalent :c: Point or point equivalent :axis: optional string or integer in set('x',0,'y',1,'z',2) :return: float CCW - Counter Clockwise Returns an integer signifying the direction of rotation around 'axis' described by the angle [b, self, c]. > 0 : counter-clockwise 0 : points are collinear < 0 : clockwise Returns an integer. Raises ValueError if axis is not in 'xyz'. ''' bsuba = b - self csuba = c - self if axis in ['z', 2]: return (bsuba.x * csuba.y) - (bsuba.y * csuba.x) if axis in ['y', 1]: return (bsuba.x * csuba.z) - (bsuba.z * csuba.x) if axis in ['x', 0]: return (bsuba.y * csuba.z) - (bsuba.z * csuba.y) msg = "invalid axis '{!r}', must be one of {}".format(axis, self._keys) raise ValueError(msg)
python
def ccw(self, b, c, axis='z'): ''' :b: Point or point equivalent :c: Point or point equivalent :axis: optional string or integer in set('x',0,'y',1,'z',2) :return: float CCW - Counter Clockwise Returns an integer signifying the direction of rotation around 'axis' described by the angle [b, self, c]. > 0 : counter-clockwise 0 : points are collinear < 0 : clockwise Returns an integer. Raises ValueError if axis is not in 'xyz'. ''' bsuba = b - self csuba = c - self if axis in ['z', 2]: return (bsuba.x * csuba.y) - (bsuba.y * csuba.x) if axis in ['y', 1]: return (bsuba.x * csuba.z) - (bsuba.z * csuba.x) if axis in ['x', 0]: return (bsuba.y * csuba.z) - (bsuba.z * csuba.y) msg = "invalid axis '{!r}', must be one of {}".format(axis, self._keys) raise ValueError(msg)
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JnyJny/Geometry
Geometry/point.py
Point.isCCW
def isCCW(self, b, c, axis='z'): ''' :b: Point or point equivalent :c: Point or point equivalent :axis: optional string or integer in set('x',0,'y',1,'z',2) :return: boolean True if the angle determined by a,self,b around 'axis' describes a counter-clockwise rotation, otherwise False. Raises CollinearPoints if self, b, c are collinear. ''' result = self.ccw(b, c, axis) if result == 0: raise CollinearPoints(b, self, c) return result > 0
python
def isCCW(self, b, c, axis='z'): ''' :b: Point or point equivalent :c: Point or point equivalent :axis: optional string or integer in set('x',0,'y',1,'z',2) :return: boolean True if the angle determined by a,self,b around 'axis' describes a counter-clockwise rotation, otherwise False. Raises CollinearPoints if self, b, c are collinear. ''' result = self.ccw(b, c, axis) if result == 0: raise CollinearPoints(b, self, c) return result > 0
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JnyJny/Geometry
Geometry/point.py
Point.isCollinear
def isCollinear(self, b, c): ''' :b: Point or point equivalent :c: Point or point equivalent :return: boolean True if 'self' is collinear with 'b' and 'c', otherwise False. ''' return all(self.ccw(b, c, axis) == 0 for axis in self._keys)
python
def isCollinear(self, b, c): ''' :b: Point or point equivalent :c: Point or point equivalent :return: boolean True if 'self' is collinear with 'b' and 'c', otherwise False. ''' return all(self.ccw(b, c, axis) == 0 for axis in self._keys)
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train
https://github.com/JnyJny/Geometry/blob/3500f815fa56c535b36d1b6fd0afe69ce5d055be/Geometry/point.py#L1409-L1418
JnyJny/Geometry
Geometry/point.py
Point.rotate2d
def rotate2d(self, theta, origin=None, axis='z', radians=False): ''' :theta: float radians to rotate self around origin :origin: optional Point, defaults to 0,0,0 Returns a Point rotated by :theta: around :origin:. ''' origin = Point._convert(origin) delta = self - origin p = Point(origin) if not radians: theta = math.radians(theta) cosT = math.cos(theta) sinT = math.sin(theta) if axis == 'z': p.x += (cosT * delta.x) - (sinT * delta.y) p.y += (sinT * delta.x) + (cosT * delta.y) return p if axis == 'y': p.z += (cosT * delta.z) - (sinT * delta.x) p.x += (sinT * delta.z) + (cosT * delta.x) return p if axis == 'x': p.y += (cosT * delta.y) - (sinT * delta.z) p.z += (sinT * delta.y) + (cosT * delta.z) return p raise KeyError('unknown axis {}, expecting x, y or z'.format(axis))
python
def rotate2d(self, theta, origin=None, axis='z', radians=False): ''' :theta: float radians to rotate self around origin :origin: optional Point, defaults to 0,0,0 Returns a Point rotated by :theta: around :origin:. ''' origin = Point._convert(origin) delta = self - origin p = Point(origin) if not radians: theta = math.radians(theta) cosT = math.cos(theta) sinT = math.sin(theta) if axis == 'z': p.x += (cosT * delta.x) - (sinT * delta.y) p.y += (sinT * delta.x) + (cosT * delta.y) return p if axis == 'y': p.z += (cosT * delta.z) - (sinT * delta.x) p.x += (sinT * delta.z) + (cosT * delta.x) return p if axis == 'x': p.y += (cosT * delta.y) - (sinT * delta.z) p.z += (sinT * delta.y) + (cosT * delta.z) return p raise KeyError('unknown axis {}, expecting x, y or z'.format(axis))
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JnyJny/Geometry
Geometry/triangle2.py
Triangle.withAngles
def withAngles(cls, origin=None, base=1, alpha=None, beta=None, gamma=None, inDegrees=False): ''' :origin: optional Point :alpha: optional float describing length of the side opposite A :beta: optional float describing length of the side opposite B :gamma: optional float describing length of the side opposite C :return: Triangle initialized with points comprising the triangle with the specified angles. ''' raise NotImplementedError("withAngles")
python
def withAngles(cls, origin=None, base=1, alpha=None, beta=None, gamma=None, inDegrees=False): ''' :origin: optional Point :alpha: optional float describing length of the side opposite A :beta: optional float describing length of the side opposite B :gamma: optional float describing length of the side opposite C :return: Triangle initialized with points comprising the triangle with the specified angles. ''' raise NotImplementedError("withAngles")
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:origin: optional Point :alpha: optional float describing length of the side opposite A :beta: optional float describing length of the side opposite B :gamma: optional float describing length of the side opposite C :return: Triangle initialized with points comprising the triangle with the specified angles.
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train
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JnyJny/Geometry
Geometry/triangle2.py
Triangle.heronsArea
def heronsArea(self): ''' Heron's forumla for computing the area of a triangle, float. Performance note: contains a square root. ''' s = self.semiperimeter return math.sqrt(s * ((s - self.a) * (s - self.b) * (s - self.c)))
python
def heronsArea(self): ''' Heron's forumla for computing the area of a triangle, float. Performance note: contains a square root. ''' s = self.semiperimeter return math.sqrt(s * ((s - self.a) * (s - self.b) * (s - self.c)))
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train
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JnyJny/Geometry
Geometry/triangle2.py
Triangle.circumradius
def circumradius(self): ''' Distance from the circumcenter to all the verticies in the Triangle, float. ''' return (self.a * self.b * self.c) / (self.area * 4)
python
def circumradius(self): ''' Distance from the circumcenter to all the verticies in the Triangle, float. ''' return (self.a * self.b * self.c) / (self.area * 4)
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train
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JnyJny/Geometry
Geometry/triangle2.py
Triangle.altitudes
def altitudes(self): ''' A list of the altitudes of each vertex [AltA, AltB, AltC], list of floats. An altitude is the shortest distance from a vertex to the side opposite of it. ''' A = self.area * 2 return [A / self.a, A / self.b, A / self.c]
python
def altitudes(self): ''' A list of the altitudes of each vertex [AltA, AltB, AltC], list of floats. An altitude is the shortest distance from a vertex to the side opposite of it. ''' A = self.area * 2 return [A / self.a, A / self.b, A / self.c]
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train
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JnyJny/Geometry
Geometry/triangle2.py
Triangle.isIsosceles
def isIsosceles(self): ''' True iff two side lengths are equal, boolean. ''' return (self.a == self.b) or (self.a == self.c) or (self.b == self.c)
python
def isIsosceles(self): ''' True iff two side lengths are equal, boolean. ''' return (self.a == self.b) or (self.a == self.c) or (self.b == self.c)
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True iff two side lengths are equal, boolean.
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train
https://github.com/JnyJny/Geometry/blob/3500f815fa56c535b36d1b6fd0afe69ce5d055be/Geometry/triangle2.py#L355-L359
JnyJny/Geometry
Geometry/triangle2.py
Triangle.congruent
def congruent(self, other): ''' A congruent B True iff all angles of 'A' equal angles in 'B' and all side lengths of 'A' equal all side lengths of 'B', boolean. ''' a = set(self.angles) b = set(other.angles) if len(a) != len(b) or len(a.difference(b)) != 0: return False a = set(self.sides) b = set(other.sides) return len(a) == len(b) and len(a.difference(b)) == 0
python
def congruent(self, other): ''' A congruent B True iff all angles of 'A' equal angles in 'B' and all side lengths of 'A' equal all side lengths of 'B', boolean. ''' a = set(self.angles) b = set(other.angles) if len(a) != len(b) or len(a.difference(b)) != 0: return False a = set(self.sides) b = set(other.sides) return len(a) == len(b) and len(a.difference(b)) == 0
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A congruent B True iff all angles of 'A' equal angles in 'B' and all side lengths of 'A' equal all side lengths of 'B', boolean.
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train
https://github.com/JnyJny/Geometry/blob/3500f815fa56c535b36d1b6fd0afe69ce5d055be/Geometry/triangle2.py#L393-L411
JnyJny/Geometry
Geometry/ellipse.py
Ellipse.center
def center(self): ''' Center point of the ellipse, equidistant from foci, Point class.\n Defaults to the origin. ''' try: return self._center except AttributeError: pass self._center = Point() return self._center
python
def center(self): ''' Center point of the ellipse, equidistant from foci, Point class.\n Defaults to the origin. ''' try: return self._center except AttributeError: pass self._center = Point() return self._center
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Center point of the ellipse, equidistant from foci, Point class.\n Defaults to the origin.
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train
https://github.com/JnyJny/Geometry/blob/3500f815fa56c535b36d1b6fd0afe69ce5d055be/Geometry/ellipse.py#L47-L57
JnyJny/Geometry
Geometry/ellipse.py
Ellipse.radius
def radius(self): ''' Radius of the ellipse, Point class. ''' try: return self._radius except AttributeError: pass self._radius = Point(1, 1, 0) return self._radius
python
def radius(self): ''' Radius of the ellipse, Point class. ''' try: return self._radius except AttributeError: pass self._radius = Point(1, 1, 0) return self._radius
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Radius of the ellipse, Point class.
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train
https://github.com/JnyJny/Geometry/blob/3500f815fa56c535b36d1b6fd0afe69ce5d055be/Geometry/ellipse.py#L64-L73
JnyJny/Geometry
Geometry/ellipse.py
Ellipse.xAxisIsMajor
def xAxisIsMajor(self): ''' Returns True if the major axis is parallel to the X axis, boolean. ''' return max(self.radius.x, self.radius.y) == self.radius.x
python
def xAxisIsMajor(self): ''' Returns True if the major axis is parallel to the X axis, boolean. ''' return max(self.radius.x, self.radius.y) == self.radius.x
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train
https://github.com/JnyJny/Geometry/blob/3500f815fa56c535b36d1b6fd0afe69ce5d055be/Geometry/ellipse.py#L111-L115
JnyJny/Geometry
Geometry/ellipse.py
Ellipse.xAxisIsMinor
def xAxisIsMinor(self): ''' Returns True if the minor axis is parallel to the X axis, boolean. ''' return min(self.radius.x, self.radius.y) == self.radius.x
python
def xAxisIsMinor(self): ''' Returns True if the minor axis is parallel to the X axis, boolean. ''' return min(self.radius.x, self.radius.y) == self.radius.x
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train
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JnyJny/Geometry
Geometry/ellipse.py
Ellipse.yAxisIsMajor
def yAxisIsMajor(self): ''' Returns True if the major axis is parallel to the Y axis, boolean. ''' return max(self.radius.x, self.radius.y) == self.radius.y
python
def yAxisIsMajor(self): ''' Returns True if the major axis is parallel to the Y axis, boolean. ''' return max(self.radius.x, self.radius.y) == self.radius.y
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train
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JnyJny/Geometry
Geometry/ellipse.py
Ellipse.yAxisIsMinor
def yAxisIsMinor(self): ''' Returns True if the minor axis is parallel to the Y axis, boolean. ''' return min(self.radius.x, self.radius.y) == self.radius.y
python
def yAxisIsMinor(self): ''' Returns True if the minor axis is parallel to the Y axis, boolean. ''' return min(self.radius.x, self.radius.y) == self.radius.y
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train
https://github.com/JnyJny/Geometry/blob/3500f815fa56c535b36d1b6fd0afe69ce5d055be/Geometry/ellipse.py#L132-L136
JnyJny/Geometry
Geometry/ellipse.py
Ellipse.a
def a(self): ''' Positive antipodal point on the major axis, Point class. ''' a = Point(self.center) if self.xAxisIsMajor: a.x += self.majorRadius else: a.y += self.majorRadius return a
python
def a(self): ''' Positive antipodal point on the major axis, Point class. ''' a = Point(self.center) if self.xAxisIsMajor: a.x += self.majorRadius else: a.y += self.majorRadius return a
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Positive antipodal point on the major axis, Point class.
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train
https://github.com/JnyJny/Geometry/blob/3500f815fa56c535b36d1b6fd0afe69ce5d055be/Geometry/ellipse.py#L181-L192
JnyJny/Geometry
Geometry/ellipse.py
Ellipse.a_neg
def a_neg(self): ''' Negative antipodal point on the major axis, Point class. ''' na = Point(self.center) if self.xAxisIsMajor: na.x -= self.majorRadius else: na.y -= self.majorRadius return na
python
def a_neg(self): ''' Negative antipodal point on the major axis, Point class. ''' na = Point(self.center) if self.xAxisIsMajor: na.x -= self.majorRadius else: na.y -= self.majorRadius return na
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Negative antipodal point on the major axis, Point class.
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train
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JnyJny/Geometry
Geometry/ellipse.py
Ellipse.b
def b(self): ''' Positive antipodal point on the minor axis, Point class. ''' b = Point(self.center) if self.xAxisIsMinor: b.x += self.minorRadius else: b.y += self.minorRadius return b
python
def b(self): ''' Positive antipodal point on the minor axis, Point class. ''' b = Point(self.center) if self.xAxisIsMinor: b.x += self.minorRadius else: b.y += self.minorRadius return b
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Positive antipodal point on the minor axis, Point class.
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train
https://github.com/JnyJny/Geometry/blob/3500f815fa56c535b36d1b6fd0afe69ce5d055be/Geometry/ellipse.py#L209-L220
JnyJny/Geometry
Geometry/ellipse.py
Ellipse.b_neg
def b_neg(self): ''' Negative antipodal point on the minor axis, Point class. ''' nb = Point(self.center) if self.xAxisIsMinor: nb.x -= self.minorRadius else: nb.y -= self.minorRadius return nb
python
def b_neg(self): ''' Negative antipodal point on the minor axis, Point class. ''' nb = Point(self.center) if self.xAxisIsMinor: nb.x -= self.minorRadius else: nb.y -= self.minorRadius return nb
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Negative antipodal point on the minor axis, Point class.
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train
https://github.com/JnyJny/Geometry/blob/3500f815fa56c535b36d1b6fd0afe69ce5d055be/Geometry/ellipse.py#L223-L233
JnyJny/Geometry
Geometry/ellipse.py
Ellipse.vertices
def vertices(self): ''' A dictionary of four points where the axes intersect the ellipse, dict. ''' return {'a': self.a, 'a_neg': self.a_neg, 'b': self.b, 'b_neg': self.b_neg}
python
def vertices(self): ''' A dictionary of four points where the axes intersect the ellipse, dict. ''' return {'a': self.a, 'a_neg': self.a_neg, 'b': self.b, 'b_neg': self.b_neg}
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train
https://github.com/JnyJny/Geometry/blob/3500f815fa56c535b36d1b6fd0afe69ce5d055be/Geometry/ellipse.py#L236-L241
JnyJny/Geometry
Geometry/ellipse.py
Ellipse.focus0
def focus0(self): ''' First focus of the ellipse, Point class. ''' f = Point(self.center) if self.xAxisIsMajor: f.x -= self.linearEccentricity else: f.y -= self.linearEccentricity return f
python
def focus0(self): ''' First focus of the ellipse, Point class. ''' f = Point(self.center) if self.xAxisIsMajor: f.x -= self.linearEccentricity else: f.y -= self.linearEccentricity return f
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First focus of the ellipse, Point class.
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train
https://github.com/JnyJny/Geometry/blob/3500f815fa56c535b36d1b6fd0afe69ce5d055be/Geometry/ellipse.py#L244-L255
JnyJny/Geometry
Geometry/ellipse.py
Circle.circumcircleForTriangle
def circumcircleForTriangle(cls, triangle): ''' :param: triangle - Triangle class :return: Circle class Returns the circle where every vertex in the input triangle is on the radius of that circle. ''' if triangle.isRight: # circumcircle origin is the midpoint of the hypotenues o = triangle.hypotenuse.midpoint r = o.distance(triangle.A) return cls(o, r) # otherwise # 1. find the normals to two sides # 2. translate them to the midpoints of those two sides # 3. intersect those lines for center of circumcircle # 4. radius is distance from center to any vertex in the triangle abn = triangle.AB.normal abn += triangle.AB.midpoint acn = triangle.AC.normal acn += triangle.AC.midpoint o = abn.intersection(acn) r = o.distance(triangle.A) return cls(o, r)
python
def circumcircleForTriangle(cls, triangle): ''' :param: triangle - Triangle class :return: Circle class Returns the circle where every vertex in the input triangle is on the radius of that circle. ''' if triangle.isRight: # circumcircle origin is the midpoint of the hypotenues o = triangle.hypotenuse.midpoint r = o.distance(triangle.A) return cls(o, r) # otherwise # 1. find the normals to two sides # 2. translate them to the midpoints of those two sides # 3. intersect those lines for center of circumcircle # 4. radius is distance from center to any vertex in the triangle abn = triangle.AB.normal abn += triangle.AB.midpoint acn = triangle.AC.normal acn += triangle.AC.midpoint o = abn.intersection(acn) r = o.distance(triangle.A) return cls(o, r)
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JnyJny/Geometry
Geometry/ellipse.py
Circle.doesIntersect
def doesIntersect(self, other): ''' :param: other - Circle class Returns True iff: self.center.distance(other.center) <= self.radius+other.radius ''' otherType = type(other) if issubclass(otherType, Ellipse): distance = self.center.distance(other.center) radiisum = self.radius + other.radius return distance <= radiisum if issubclass(otherType, Line): raise NotImplementedError('doesIntersect,other is Line class') raise TypeError("unknown type '{t}'".format(t=otherType))
python
def doesIntersect(self, other): ''' :param: other - Circle class Returns True iff: self.center.distance(other.center) <= self.radius+other.radius ''' otherType = type(other) if issubclass(otherType, Ellipse): distance = self.center.distance(other.center) radiisum = self.radius + other.radius return distance <= radiisum if issubclass(otherType, Line): raise NotImplementedError('doesIntersect,other is Line class') raise TypeError("unknown type '{t}'".format(t=otherType))
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train
https://github.com/JnyJny/Geometry/blob/3500f815fa56c535b36d1b6fd0afe69ce5d055be/Geometry/ellipse.py#L535-L553
JnyJny/Geometry
Geometry/line.py
Line.AB
def AB(self): ''' A list containing Points A and B. ''' try: return self._AB except AttributeError: pass self._AB = [self.A, self.B] return self._AB
python
def AB(self): ''' A list containing Points A and B. ''' try: return self._AB except AttributeError: pass self._AB = [self.A, self.B] return self._AB
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train
https://github.com/JnyJny/Geometry/blob/3500f815fa56c535b36d1b6fd0afe69ce5d055be/Geometry/line.py#L117-L126
JnyJny/Geometry
Geometry/line.py
Line.normal
def normal(self): ''' :return: Line Returns a Line normal (perpendicular) to this Line. ''' d = self.B - self.A return Line([-d.y, d.x], [d.y, -d.x])
python
def normal(self): ''' :return: Line Returns a Line normal (perpendicular) to this Line. ''' d = self.B - self.A return Line([-d.y, d.x], [d.y, -d.x])
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train
https://github.com/JnyJny/Geometry/blob/3500f815fa56c535b36d1b6fd0afe69ce5d055be/Geometry/line.py#L173-L182
JnyJny/Geometry
Geometry/line.py
Line.t
def t(self, point): ''' :point: Point subclass :return: float If :point: is collinear, determine the 't' coefficient of the parametric equation: xyz = A<xyz> + t ( B<xyz> - A<xyz> ) if t < 0, point is less than A and B on the line if t >= 0 and <= 1, point is between A and B if t > 1 point is greater than B ''' # XXX could use for an ordering on points? if point not in self: msg = "'{p}' is not collinear with '{l}'" raise CollinearPoints(msg.format(p=point, l=self)) # p = A + t ( B - A) # p - A = t ( B - A) # p - A / (B -A) = t return (point - self.A) / self.m
python
def t(self, point): ''' :point: Point subclass :return: float If :point: is collinear, determine the 't' coefficient of the parametric equation: xyz = A<xyz> + t ( B<xyz> - A<xyz> ) if t < 0, point is less than A and B on the line if t >= 0 and <= 1, point is between A and B if t > 1 point is greater than B ''' # XXX could use for an ordering on points? if point not in self: msg = "'{p}' is not collinear with '{l}'" raise CollinearPoints(msg.format(p=point, l=self)) # p = A + t ( B - A) # p - A = t ( B - A) # p - A / (B -A) = t return (point - self.A) / self.m
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train
https://github.com/JnyJny/Geometry/blob/3500f815fa56c535b36d1b6fd0afe69ce5d055be/Geometry/line.py#L198-L223
JnyJny/Geometry
Geometry/line.py
Line.flip
def flip(self): ''' :returns: None Swaps the positions of A and B. ''' tmp = self.A.xyz self.A = self.B self.B = tmp
python
def flip(self): ''' :returns: None Swaps the positions of A and B. ''' tmp = self.A.xyz self.A = self.B self.B = tmp
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train
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JnyJny/Geometry
Geometry/line.py
Line.doesIntersect
def doesIntersect(self, other): ''' :param: other - Line subclass :return: boolean Returns True iff: ccw(self.A,self.B,other.A) * ccw(self.A,self.B,other.B) <= 0 and ccw(other.A,other.B,self.A) * ccw(other.A,other.B,self.B) <= 0 ''' if self.A.ccw(self.B, other.A) * self.A.ccw(self.B, other.B) > 0: return False if other.A.ccw(other.B, self.A) * other.A.ccw(other.B, self.B) > 0: return False return True
python
def doesIntersect(self, other): ''' :param: other - Line subclass :return: boolean Returns True iff: ccw(self.A,self.B,other.A) * ccw(self.A,self.B,other.B) <= 0 and ccw(other.A,other.B,self.A) * ccw(other.A,other.B,self.B) <= 0 ''' if self.A.ccw(self.B, other.A) * self.A.ccw(self.B, other.B) > 0: return False if other.A.ccw(other.B, self.A) * other.A.ccw(other.B, self.B) > 0: return False return True
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train
https://github.com/JnyJny/Geometry/blob/3500f815fa56c535b36d1b6fd0afe69ce5d055be/Geometry/line.py#L304-L321
JnyJny/Geometry
Geometry/line.py
Line.intersection
def intersection(self, other): ''' :param: other - Line subclass :return: Point subclass Returns a Point object with the coordinates of the intersection between the current line and the other line. Will raise Parallel() if the two lines are parallel. Will raise Collinear() if the two lines are collinear. ''' if self.isCollinear(other): msg = '{!r} and {!r} are collinear' raise CollinearLines(msg.format(self, other)) d0 = self.A - self.B d1 = other.A - other.B denominator = (d0.x * d1.y) - (d0.y * d1.x) if denominator == 0: msg = '{!r} and {!r} are parallel' raise ParallelLines(msg.format(self, other)) cp0 = self.A.cross(self.B) cp1 = other.A.cross(other.B) x_num = (cp0 * d1.x) - (d0.x * cp1) y_num = (cp0 * d1.y) - (d0.y * cp1) p = Point(x_num / denominator, y_num / denominator) if p in self and p in other: return p msg = "found point {!r} but not in {!r} and {!r}" raise ParallelLines(msg.format(p, self, other))
python
def intersection(self, other): ''' :param: other - Line subclass :return: Point subclass Returns a Point object with the coordinates of the intersection between the current line and the other line. Will raise Parallel() if the two lines are parallel. Will raise Collinear() if the two lines are collinear. ''' if self.isCollinear(other): msg = '{!r} and {!r} are collinear' raise CollinearLines(msg.format(self, other)) d0 = self.A - self.B d1 = other.A - other.B denominator = (d0.x * d1.y) - (d0.y * d1.x) if denominator == 0: msg = '{!r} and {!r} are parallel' raise ParallelLines(msg.format(self, other)) cp0 = self.A.cross(self.B) cp1 = other.A.cross(other.B) x_num = (cp0 * d1.x) - (d0.x * cp1) y_num = (cp0 * d1.y) - (d0.y * cp1) p = Point(x_num / denominator, y_num / denominator) if p in self and p in other: return p msg = "found point {!r} but not in {!r} and {!r}" raise ParallelLines(msg.format(p, self, other))
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https://github.com/JnyJny/Geometry/blob/3500f815fa56c535b36d1b6fd0afe69ce5d055be/Geometry/line.py#L342-L379
JnyJny/Geometry
Geometry/line.py
Line.distanceFromPoint
def distanceFromPoint(self, point): ''' :param: point - Point subclass :return: float Distance from the line to the given point. ''' # XXX planar distance, doesn't take into account z ? d = self.m n = (d.y * point.x) - (d.x * point.y) + self.A.cross(self.B) return abs(n / self.A.distance(self.B))
python
def distanceFromPoint(self, point): ''' :param: point - Point subclass :return: float Distance from the line to the given point. ''' # XXX planar distance, doesn't take into account z ? d = self.m n = (d.y * point.x) - (d.x * point.y) + self.A.cross(self.B) return abs(n / self.A.distance(self.B))
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:param: point - Point subclass :return: float Distance from the line to the given point.
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train
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JnyJny/Geometry
Geometry/line.py
Line.radiansBetween
def radiansBetween(self, other): ''' :param: other - Line subclass :return: float Returns the angle measured between two lines in radians with a range of [0, 2 * math.pi]. ''' # a dot b = |a||b| * cos(theta) # a dot b / |a||b| = cos(theta) # cos-1(a dot b / |a||b|) = theta # translate each line so that it passes through the origin and # produce a new point whose distance (magnitude) from the # origin is 1. # a = Point.unit(self.A, self.B) b = Point.unit(other.A, other.B) # in a perfect world, after unit: |A| = |B| = 1 # which is a noop when dividing the dot product of A,B # but sometimes the lengths are different. # # let's just assume things are perfect and the lengths equal 1. return math.acos(a.dot(b))
python
def radiansBetween(self, other): ''' :param: other - Line subclass :return: float Returns the angle measured between two lines in radians with a range of [0, 2 * math.pi]. ''' # a dot b = |a||b| * cos(theta) # a dot b / |a||b| = cos(theta) # cos-1(a dot b / |a||b|) = theta # translate each line so that it passes through the origin and # produce a new point whose distance (magnitude) from the # origin is 1. # a = Point.unit(self.A, self.B) b = Point.unit(other.A, other.B) # in a perfect world, after unit: |A| = |B| = 1 # which is a noop when dividing the dot product of A,B # but sometimes the lengths are different. # # let's just assume things are perfect and the lengths equal 1. return math.acos(a.dot(b))
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train
https://github.com/JnyJny/Geometry/blob/3500f815fa56c535b36d1b6fd0afe69ce5d055be/Geometry/line.py#L403-L430
JnyJny/Geometry
Geometry/propgen.py
FloatProperty
def FloatProperty(name, default=0.0, readonly=False, docs=None): ''' :name: string - property name :default: float - property default value :readonly: boolean - if True, setter method is NOT generated Returns a property object that can be used to initialize a class instance variable as a property. ''' private_name = '_' + name def getf(self): if not hasattr(self, private_name): setattr(self, private_name, default) return getattr(self, private_name) if readonly: setf = None else: def setf(self, newValue): def epsilon_set(v): # epsilon_set: creates a float from v unless that # float is less than epsilon, which will # be considered effectively zero. fv = float(v) return 0.0 if nearly_zero(fv) else fv try: setattr(self, private_name, epsilon_set(newValue)) return except TypeError: pass if isinstance(newValue, collections.Mapping): try: setattr(self, private_name, epsilon_set(newValue[name])) except KeyError: pass return if isinstance(newValue, collections.Iterable): try: setattr(self, private_name, epsilon_set(newValue[0])) return except (IndexError, TypeError): pass try: mapping = vars(newValue) setattr(self, private_name, epsilon_set(mapping[name])) return except (TypeError, KeyError): pass if newValue is None: setattr(self, private_name, epsilon_set(default)) return raise ValueError(newValue) return property(getf, setf, None, docs)
python
def FloatProperty(name, default=0.0, readonly=False, docs=None): ''' :name: string - property name :default: float - property default value :readonly: boolean - if True, setter method is NOT generated Returns a property object that can be used to initialize a class instance variable as a property. ''' private_name = '_' + name def getf(self): if not hasattr(self, private_name): setattr(self, private_name, default) return getattr(self, private_name) if readonly: setf = None else: def setf(self, newValue): def epsilon_set(v): # epsilon_set: creates a float from v unless that # float is less than epsilon, which will # be considered effectively zero. fv = float(v) return 0.0 if nearly_zero(fv) else fv try: setattr(self, private_name, epsilon_set(newValue)) return except TypeError: pass if isinstance(newValue, collections.Mapping): try: setattr(self, private_name, epsilon_set(newValue[name])) except KeyError: pass return if isinstance(newValue, collections.Iterable): try: setattr(self, private_name, epsilon_set(newValue[0])) return except (IndexError, TypeError): pass try: mapping = vars(newValue) setattr(self, private_name, epsilon_set(mapping[name])) return except (TypeError, KeyError): pass if newValue is None: setattr(self, private_name, epsilon_set(default)) return raise ValueError(newValue) return property(getf, setf, None, docs)
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train
https://github.com/JnyJny/Geometry/blob/3500f815fa56c535b36d1b6fd0afe69ce5d055be/Geometry/propgen.py#L25-L86
JnyJny/Geometry
Geometry/rectangle.py
Rectangle.randomSizeAndLocation
def randomSizeAndLocation(cls, radius, widthLimits, heightLimits, origin=None): ''' :param: radius - float :param: widthLimits - iterable of floats with length >= 2 :param: heightLimits - iterable of floats with length >= 2 :param: origin - optional Point subclass :return: Rectangle ''' r = cls(widthLimits, heightLimits, origin) r.origin = Point.randomLocation(radius, origin)
python
def randomSizeAndLocation(cls, radius, widthLimits, heightLimits, origin=None): ''' :param: radius - float :param: widthLimits - iterable of floats with length >= 2 :param: heightLimits - iterable of floats with length >= 2 :param: origin - optional Point subclass :return: Rectangle ''' r = cls(widthLimits, heightLimits, origin) r.origin = Point.randomLocation(radius, origin)
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train
https://github.com/JnyJny/Geometry/blob/3500f815fa56c535b36d1b6fd0afe69ce5d055be/Geometry/rectangle.py#L26-L38
JnyJny/Geometry
Geometry/rectangle.py
Rectangle.randomSize
def randomSize(cls, widthLimits, heightLimits, origin=None): ''' :param: widthLimits - iterable of integers with length >= 2 :param: heightLimits - iterable of integers with length >= 2 :param: origin - optional Point subclass :return: Rectangle ''' r = cls(0, 0, origin) r.w = random.randint(widthLimits[0], widthLimits[1]) r.h = random.randint(heightLimits[0], heightLimits[1]) return r
python
def randomSize(cls, widthLimits, heightLimits, origin=None): ''' :param: widthLimits - iterable of integers with length >= 2 :param: heightLimits - iterable of integers with length >= 2 :param: origin - optional Point subclass :return: Rectangle ''' r = cls(0, 0, origin) r.w = random.randint(widthLimits[0], widthLimits[1]) r.h = random.randint(heightLimits[0], heightLimits[1]) return r
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train
https://github.com/JnyJny/Geometry/blob/3500f815fa56c535b36d1b6fd0afe69ce5d055be/Geometry/rectangle.py#L41-L54
JnyJny/Geometry
Geometry/rectangle.py
Rectangle.randomLocation
def randomLocation(cls, radius, width, height, origin=None): ''' :param: radius - float :param: width - float :param: height - float :param: origin - optional Point subclass :return: Rectangle ''' return cls(width, height, Point.randomLocation(radius, origin))
python
def randomLocation(cls, radius, width, height, origin=None): ''' :param: radius - float :param: width - float :param: height - float :param: origin - optional Point subclass :return: Rectangle ''' return cls(width, height, Point.randomLocation(radius, origin))
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train
https://github.com/JnyJny/Geometry/blob/3500f815fa56c535b36d1b6fd0afe69ce5d055be/Geometry/rectangle.py#L57-L67
JnyJny/Geometry
Geometry/rectangle.py
Rectangle.origin
def origin(self): ''' Point describing the origin of the rectangle. Defaults to (0,0,0). ''' try: return self._origin except AttributeError: pass self._origin = Point() return self._origin
python
def origin(self): ''' Point describing the origin of the rectangle. Defaults to (0,0,0). ''' try: return self._origin except AttributeError: pass self._origin = Point() return self._origin
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train
https://github.com/JnyJny/Geometry/blob/3500f815fa56c535b36d1b6fd0afe69ce5d055be/Geometry/rectangle.py#L87-L96
JnyJny/Geometry
Geometry/rectangle.py
Rectangle.B
def B(self): ''' Point whose coordinates are (maxX,minY,origin.z), Point. ''' return Point(self.maxX, self.minY, self.origin.z)
python
def B(self): ''' Point whose coordinates are (maxX,minY,origin.z), Point. ''' return Point(self.maxX, self.minY, self.origin.z)
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train
https://github.com/JnyJny/Geometry/blob/3500f815fa56c535b36d1b6fd0afe69ce5d055be/Geometry/rectangle.py#L302-L306
JnyJny/Geometry
Geometry/rectangle.py
Rectangle.C
def C(self): ''' Point whose coordinates are (maxX,maxY,origin.z), Point. ''' return Point(self.maxX, self.maxY, self.origin.z)
python
def C(self): ''' Point whose coordinates are (maxX,maxY,origin.z), Point. ''' return Point(self.maxX, self.maxY, self.origin.z)
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train
https://github.com/JnyJny/Geometry/blob/3500f815fa56c535b36d1b6fd0afe69ce5d055be/Geometry/rectangle.py#L314-L318
JnyJny/Geometry
Geometry/rectangle.py
Rectangle.D
def D(self): ''' Point whose coordinates are (minX,maxY,origin.Z), Point. ''' return Point(self.minX, self.maxY, self.origin.z)
python
def D(self): ''' Point whose coordinates are (minX,maxY,origin.Z), Point. ''' return Point(self.minX, self.maxY, self.origin.z)
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train
https://github.com/JnyJny/Geometry/blob/3500f815fa56c535b36d1b6fd0afe69ce5d055be/Geometry/rectangle.py#L327-L331
JnyJny/Geometry
Geometry/rectangle.py
Rectangle.center
def center(self): ''' Point whose coordinates are (midX,midY,origin.z), Point. ''' return Point(self.midX, self.midY, self.origin.z)
python
def center(self): ''' Point whose coordinates are (midX,midY,origin.z), Point. ''' return Point(self.midX, self.midY, self.origin.z)
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train
https://github.com/JnyJny/Geometry/blob/3500f815fa56c535b36d1b6fd0afe69ce5d055be/Geometry/rectangle.py#L339-L343
JnyJny/Geometry
Geometry/rectangle.py
Rectangle.scale
def scale(self, dx=1.0, dy=1.0): ''' :param: dx - optional float :param: dy - optional float Scales the rectangle's width and height by dx and dy. ''' self.width *= dx self.height *= dy
python
def scale(self, dx=1.0, dy=1.0): ''' :param: dx - optional float :param: dy - optional float Scales the rectangle's width and height by dx and dy. ''' self.width *= dx self.height *= dy
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train
https://github.com/JnyJny/Geometry/blob/3500f815fa56c535b36d1b6fd0afe69ce5d055be/Geometry/rectangle.py#L503-L512
JnyJny/Geometry
Geometry/rectangle.py
Rectangle.containsPoint
def containsPoint(self, point, Zorder=False): ''' :param: point - Point subclass :param: Zorder - optional Boolean Is true if the point is contain in the rectangle or along the rectangle's edges. If Zorder is True, the method will check point.z for equality with the rectangle origin's Z coordinate. ''' if not point.isBetweenX(self.A, self.B): return False if not point.isBetweenY(self.A, self.D): return False if Zorder: return point.z == self.origin.z return True
python
def containsPoint(self, point, Zorder=False): ''' :param: point - Point subclass :param: Zorder - optional Boolean Is true if the point is contain in the rectangle or along the rectangle's edges. If Zorder is True, the method will check point.z for equality with the rectangle origin's Z coordinate. ''' if not point.isBetweenX(self.A, self.B): return False if not point.isBetweenY(self.A, self.D): return False if Zorder: return point.z == self.origin.z return True
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train
https://github.com/JnyJny/Geometry/blob/3500f815fa56c535b36d1b6fd0afe69ce5d055be/Geometry/rectangle.py#L536-L556