tensorflow/models

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research/attention_ocr/python/model_test.py

Summary

Maintainability
B
4 hrs
Test Coverage

Similar blocks of code found in 5 locations. Consider refactoring.
Open

    with self.test_session() as sess:
      conv_w_coords = sess.run(
          conv_w_coords_tf, feed_dict={self.input_images: self.fake_images})
Severity: Major
Found in research/attention_ocr/python/model_test.py and 4 other locations - About 35 mins to fix
research/attention_ocr/python/model_test.py on lines 115..117
research/attention_ocr/python/model_test.py on lines 176..177
research/attention_ocr/python/model_test.py on lines 217..219
research/attention_ocr/python/model_test.py on lines 243..245

Duplicated Code

Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

Tuning

This issue has a mass of 33.

We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

Refactorings

Further Reading

Similar blocks of code found in 5 locations. Consider refactoring.
Open

    with self.test_session() as sess:
      conv_w_coords = sess.run(
          conv_w_coords_tf, feed_dict={self.input_images: self.fake_images})
Severity: Major
Found in research/attention_ocr/python/model_test.py and 4 other locations - About 35 mins to fix
research/attention_ocr/python/model_test.py on lines 115..117
research/attention_ocr/python/model_test.py on lines 176..177
research/attention_ocr/python/model_test.py on lines 230..232
research/attention_ocr/python/model_test.py on lines 243..245

Duplicated Code

Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

Tuning

This issue has a mass of 33.

We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

Refactorings

Further Reading

Similar blocks of code found in 5 locations. Consider refactoring.
Open

    with self.test_session() as sess:
      scores_np = sess.run(
          scores, feed_dict={self.input_images: self.fake_images})
Severity: Major
Found in research/attention_ocr/python/model_test.py and 4 other locations - About 35 mins to fix
research/attention_ocr/python/model_test.py on lines 176..177
research/attention_ocr/python/model_test.py on lines 217..219
research/attention_ocr/python/model_test.py on lines 230..232
research/attention_ocr/python/model_test.py on lines 243..245

Duplicated Code

Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

Tuning

This issue has a mass of 33.

We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

Refactorings

Further Reading

Similar blocks of code found in 5 locations. Consider refactoring.
Open

    with self.test_session() as sess:
      conv_w_coords = sess.run(
          conv_w_coords_tf, feed_dict={self.input_images: self.fake_images})
Severity: Major
Found in research/attention_ocr/python/model_test.py and 4 other locations - About 35 mins to fix
research/attention_ocr/python/model_test.py on lines 115..117
research/attention_ocr/python/model_test.py on lines 176..177
research/attention_ocr/python/model_test.py on lines 217..219
research/attention_ocr/python/model_test.py on lines 230..232

Duplicated Code

Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

Tuning

This issue has a mass of 33.

We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

Refactorings

Further Reading

Similar blocks of code found in 5 locations. Consider refactoring.
Open

    with self.test_session() as sess:
      loss_np = sess.run(loss, feed_dict={self.input_images: self.fake_images})
Severity: Major
Found in research/attention_ocr/python/model_test.py and 4 other locations - About 35 mins to fix
research/attention_ocr/python/model_test.py on lines 115..117
research/attention_ocr/python/model_test.py on lines 217..219
research/attention_ocr/python/model_test.py on lines 230..232
research/attention_ocr/python/model_test.py on lines 243..245

Duplicated Code

Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

Tuning

This issue has a mass of 33.

We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

Refactorings

Further Reading

Similar blocks of code found in 2 locations. Consider refactoring.
Open

            tf.reshape(
                tf.contrib.layers.one_hot_encoding(
                    tf.constant([i]), num_classes=h), [h, 1]), [1, w])
Severity: Minor
Found in research/attention_ocr/python/model_test.py and 1 other location - About 35 mins to fix
research/attention_ocr/python/model_test.py on lines 202..205

Duplicated Code

Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

Tuning

This issue has a mass of 33.

We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

Refactorings

Further Reading

Similar blocks of code found in 2 locations. Consider refactoring.
Open

        tf.tile(
            tf.contrib.layers.one_hot_encoding(
                tf.constant([i]), num_classes=w),
            [h, 1]) for i in range(w)
Severity: Minor
Found in research/attention_ocr/python/model_test.py and 1 other location - About 35 mins to fix
research/attention_ocr/python/model_test.py on lines 195..197

Duplicated Code

Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

Tuning

This issue has a mass of 33.

We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

Refactorings

Further Reading

Similar blocks of code found in 5 locations. Consider refactoring.
Open

    ids = tf.constant([[17, 14, 21, 21, 24], [32, 24, 27, 21, 13]],
                      dtype=tf.int64)
Severity: Major
Found in research/attention_ocr/python/model_test.py and 4 other locations - About 30 mins to fix
official/vision/utils/ops_test.py on lines 44..45
official/vision/utils/ops_test.py on lines 47..48
research/object_detection/utils/ops_test.py on lines 1359..1360
research/object_detection/utils/ops_test.py on lines 1361..1362

Duplicated Code

Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

Tuning

This issue has a mass of 32.

We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

Refactorings

Further Reading

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