[TEST] fixing the tests : ok

src-test/Main.hs

-import Data.Gargantext.Types.Main (Language(..))
+import Gargantext.Types.Main (Language(..))
 --import qualified Ngrams.Lang.Fr as Fr
 import qualified Ngrams.Lang as Lang
 import qualified Ngrams.Lang.Occurrences as Occ

src-test/Ngrams/Lang.hs

 module Ngrams.Lang where
 
 
-import Data.Gargantext.Types.Main (Language(..))
+import Gargantext.Types.Main (Language(..))
 import qualified Ngrams.Lang.Fr as Fr
 import qualified Ngrams.Lang.En as En
 

src-test/Ngrams/Lang/En.hs

 {-# LANGUAGE OverloadedStrings   #-}
 {-# LANGUAGE ScopedTypeVariables #-}
+{-# LANGUAGE NoImplicitPrelude   #-}
 
 module Ngrams.Lang.En where
 
 import Test.Hspec
 
-import Data.Gargantext.Prelude
-import Data.Gargantext.Types.Main (Language(..))
-import Data.Gargantext.Ngrams.Parser (extractNgrams, selectNgrams)
+import Gargantext.Prelude
+import Gargantext.Types.Main (Language(..))
+import Gargantext.Ngrams.Parser (extractNgrams, selectNgrams)
+
+import Data.Text (Text(..))
+import Data.List ((!!))
 
 ngramsExtractionTest :: IO ()
 ngramsExtractionTest = hspec $ do
     describe "Ngrams extraction in English Language" $ do
-        let textTest = [ "Alcoholic extract of Kaempferia galanga was tested for analgesic and antiinflammatory activities in animal models. ", "Three doses, 300 mg/kg, 600 mg/kg and 1200 mg/kg of the plant extract prepared as a suspension in 2 ml of 2% gum acacia were used. ", " Acute and sub acute inflammatory activities were studied in rats by carrageenan induced paw edema and cotton pellet induced granuloma models respectively. ", "In both models, the standard drug used was aspirin 100 mg/kg. ", "Two doses 600 mg/kg and 1200 mg/kg of plant extract exhibited significant (P<0.001) antiinflammatory activity in carrageenan model and cotton pellet granuloma model in comparison to control. ", "Analgesic activity was studied in rats using hot plate and tail-flick models. ", "Codeine 5 mg/kg and vehicle served as standard and control respectively. ", "The two doses of plant extract exhibited significant analgesic activity in tail flick model (P<0.001) and hot plate model (P<0.001) in comparison to control. ", "In conclusion K. galanga possesses antiinflammatory and analgesic activities. "] :: [String]
+        let textTest = [ "Alcoholic extract of Kaempferia galanga was tested for analgesic and antiinflammatory activities in animal models. ", "Three doses, 300 mg/kg, 600 mg/kg and 1200 mg/kg of the plant extract prepared as a suspension in 2 ml of 2% gum acacia were used. ", " Acute and sub acute inflammatory activities were studied in rats by carrageenan induced paw edema and cotton pellet induced granuloma models respectively. ", "In both models, the standard drug used was aspirin 100 mg/kg. ", "Two doses 600 mg/kg and 1200 mg/kg of plant extract exhibited significant (P<0.001) antiinflammatory activity in carrageenan model and cotton pellet granuloma model in comparison to control. ", "Analgesic activity was studied in rats using hot plate and tail-flick models. ", "Codeine 5 mg/kg and vehicle served as standard and control respectively. ", "The two doses of plant extract exhibited significant analgesic activity in tail flick model (P<0.001) and hot plate model (P<0.001) in comparison to control. ", "In conclusion K. galanga possesses antiinflammatory and analgesic activities. "] :: [Text]
 
         it "\"Of\" seperates two ngrams" $ do
-            t1 <- pm (selectNgrams EN) <$> extractNgrams EN (textTest !! 0) 
+            t1 <- map (selectNgrams EN) <$> extractNgrams EN (textTest !! 0) 
             t1 `shouldBe` [[("Alcoholic extract of Kaempferia galanga","NN","O"),("analgesic activities","NN+CC","O"),("antiinflammatory activities","NN+CC","O"),("animal models","NN","O")]]
             
         it "Tests the conjunction of coordination in two ngrams with its adjectives" $ do
-            t2 <- pm (selectNgrams EN) <$> extractNgrams EN (textTest !! 2) 
+            t2 <- map (selectNgrams EN) <$> extractNgrams EN (textTest !! 2) 
             t2 `shouldBe` [[("Acute activities","NN+CC","O"),("sub acute inflammatory activities","NN+CC","O"),("rats","NNS","O"),("carrageenan","NN","O"),("paw edema","NN","O"),("cotton pellet","NN","O"),("granuloma models","NN","O")]]
 
         it "Tests nouns with preposition and determinants" $ do
             let t = "Donald Trump is president of the United-States of America."
-            t2 <- pm (selectNgrams EN) <$> extractNgrams EN t
+            t2 <- map (selectNgrams EN) <$> extractNgrams EN t
             t2 `shouldBe` [[("Donald Trump","NNP","PERSON"),("president of the United-States of America","NN","LOCATION")]]
 
 

src-test/Ngrams/Lang/Fr.hs

 {-# LANGUAGE OverloadedStrings   #-}
 {-# LANGUAGE ScopedTypeVariables #-}
+{-# LANGUAGE NoImplicitPrelude   #-}
 
 module Ngrams.Lang.Fr where
 
 import Test.Hspec
 
-import Data.Gargantext.Prelude
-import Data.Gargantext.Types.Main (Language(..))
-import Data.Gargantext.Ngrams.Parser (extractNgrams, selectNgrams)
+import Gargantext.Prelude
+import Gargantext.Types.Main (Language(..))
+import Gargantext.Ngrams.Parser (extractNgrams, selectNgrams)
 
 ngramsExtractionTest :: IO ()
 ngramsExtractionTest = hspec $ do
     describe "Behavioral tests: ngrams extraction in French Language" $ do
         it "Groupe : adjectif et nom commun" $ do
             let textFr = "Le beau texte fut écrit."
-            testFr <- pm (selectNgrams FR) <$> (extractNgrams FR) textFr
+            testFr <- map (selectNgrams FR) <$> (extractNgrams FR) textFr
             testFr `shouldBe` [[("beau texte","NC","O")]]
 
         it "Groupe : adjectifs et nom commun" $ do
             let textFr = "Le beau petit texte fut écrit."
-            testFr <- pm (selectNgrams FR) <$> (extractNgrams FR) textFr
+            testFr <- map (selectNgrams FR) <$> (extractNgrams FR) textFr
             testFr `shouldBe` [[("beau petit texte","NC","O")]]
                 -- `shouldBe` [[("beau texte","NC","O"),("petit texte","NC","O")]] ?
 
         it "Groupe : nom commun et adjectif" $ do
             let textFr = "Le livre blanc fut écrit."
-            testFr <- pm (selectNgrams FR) <$> (extractNgrams FR) textFr
+            testFr <- map (selectNgrams FR) <$> (extractNgrams FR) textFr
             testFr `shouldBe` [[("livre blanc","NC","O")]]
         
         it "Groupe : nom commun et adjectifs avec conjonction" $ do
             let textFr = "Le livre blanc et rouge."
-            testFr <- pm (selectNgrams FR) <$> (extractNgrams FR) textFr
+            testFr <- map (selectNgrams FR) <$> (extractNgrams FR) textFr
             testFr `shouldBe` [[("livre blanc","N","O"),("livre rouge","N","O")]]
                 -- `shouldBe` [[("livre blanc et rouge","N","O")]] ?
 
         it "Groupe: Nom commun + préposition + Nom commun" $ do
             let textFr0 = "Le problème du jour est résolu."
-            testFr0 <- pm (selectNgrams FR) <$> (extractNgrams FR) textFr0
+            testFr0 <- map (selectNgrams FR) <$> (extractNgrams FR) textFr0
             testFr0 `shouldBe` [[("problème du jour","NC","O")]]
 
         it "Groupe: Nom commun + préposition + déterminant + Nom commun" $ do
             let textFr0 = "Emmanuel Macron est le président de la France."
-            testFr0 <- pm (selectNgrams FR) <$> (extractNgrams FR) textFr0
+            testFr0 <- map (selectNgrams FR) <$> (extractNgrams FR) textFr0
             testFr0 `shouldBe` [[("Emmanuel Macron","NPP","PERSON"),("président de la France","NC","LOCATION")]]
 
 
         it "Groupe: Nom commun + préposition + Nom commun + prép + Nom commun" $ do
             let textFr1 = "L'heure d'arrivée des coureurs dépend de la météo du jour."
-            testFr1 <- pm (selectNgrams FR) <$> (extractNgrams FR) textFr1
+            testFr1 <- map (selectNgrams FR) <$> (extractNgrams FR) textFr1
             testFr1 `shouldBe` [[("heure d' arrivée des coureurs","NC","O"),("météo du jour","NC","O")]]
 

src-test/Ngrams/Lang/Occurrences.hs

@@ -9,11 +9,11 @@ import Control.Exception (evaluate)
 
 import Data.Text (Text)
 
-import Data.Gargantext.Prelude
-import Data.Gargantext.Types.Main (Language(..))
-import Data.Gargantext.Ngrams
-import Data.Gargantext.Ngrams.Occurrences (parseOccurrences)
-import Data.Gargantext.Ngrams.Parser (extractNgrams, selectNgrams)
+import Gargantext.Prelude
+import Gargantext.Types.Main (Language(..))
+import Gargantext.Ngrams
+import Gargantext.Ngrams.Occurrences (parseOccurrences)
+import Gargantext.Ngrams.Parser (extractNgrams, selectNgrams)
 
 
 parsersTest = hspec $ do

src-test/Ngrams/Metrics.hs

@@ -4,9 +4,9 @@
 
 module Ngrams.Metrics (main) where
 
+import Gargantext.Ngrams.Metrics
 import Data.Ratio
 import Data.Text (Text)
-import Data.Gargantext.Ngrams.Metrics
 import Test.Hspec
 import Test.QuickCheck
 import qualified Data.Text as T