tfidf(word, blob, bloblist) computes the TF-IDF score.Add 1 to the divisor to prevent division by zero. We take the ratio of the total number of documents to the number of documents containing word, then take the log of that. The more common a word is, the lower its idf. idf(word, bloblist) computes 'inverse document frequency' which measures how common a word is among all documents in bloblist.A generator expression is passed to the sum() function. n_containing(word, bloblist) returns the number of documents containing word.We use TextBlob for breaking up the text into words and getting the word counts. tf(word, blob) computes 'term frequency' which is the number of times a word appears in a document blob, normalized by dividing by the total number of words in blob.log ( len ( bloblist ) / ( 1 + n_containing ( word, bloblist ))) def tfidf ( word, blob, bloblist ): return tf ( word, blob ) * idf ( word, bloblist ) words ) def idf ( word, bloblist ): return math. words ) def n_containing ( word, bloblist ): return sum ( 1 for blob in bloblist if word in blob. Results of this study emphasize the value of CT and provide basic reference data for assessment of the snake lung in these species.Import math from textblob import TextBlob as tb def tf ( word, blob ): return blob. constrictor, the reduced left lung was significantly hyperattenuating compared with the right lung. regius in the dorsal and cranial aspect of the lung compared with the ventral and caudal part. Within the species, a significantly higher attenuation was found for P.

A median attenuation of -814.6 HU and a variability of 45.9 HU were calculated for all species with no significant difference between species. constrictor, the left lung was vestigial or absent (24.7%). The length of the left lung in proportion to the right was dependent on the species examined. The length of the right lung was calculated to be 11.1% of the body length, without a significant difference between species.

Assessment was done subjectively and densitometry was performed using a defined protocol. Thirty-nine healthy boid snakes representing six different species (Python regius, Boa constrictor, Python reticulatus, Morelia viridis, Epicrates cenchria, and Morelia spilota) were examined using computed tomography (CT) to characterize the normal appearance of the respiratory tissue.

Boa vs python difference apperance